From a3591e4ec78c4d4be752cce86974fcd17387a26c Mon Sep 17 00:00:00 2001 From: Markus Frank <Markus.Frank@cern.ch> Date: Thu, 6 Feb 2020 18:35:00 +0100 Subject: [PATCH] Add CAD interface to load shapes from CAD files. Add examples of specialized shape views for CMS. Simplyfiy grammar handling. --- CMakeLists.txt | 13 +- DDCAD/CMakeLists.txt | 107 + DDCAD/include/DDCAD/ASSIMPReader.h | 39 + DDCAD/include/DDCAD/InputReader.h | 45 + DDCAD/src/ASSIMPReader.cpp | 68 + DDCAD/src/CADDictionary.h | 41 + DDCAD/src/CADImport.cpp | 13 + DDCAD/src/InputReader.cpp | 28 + DDCAD/src/plugins/CADPlugins.cpp | 78 + DDCore/CMakeLists.txt | 3 +- DDCore/include/DD4hep/ComponentProperties.h | 46 +- DDCore/include/DD4hep/Conditions.h | 30 +- DDCore/include/DD4hep/ConditionsData.h | 1 - .../DD4hep/{BasicGrammar.h => Grammar.h} | 160 +- DDCore/include/DD4hep/Objects.h | 4 +- DDCore/include/DD4hep/OpaqueData.h | 83 +- .../DD4hep/detail/ComponentProperties_inl.h | 100 - .../include/DD4hep/detail/ConditionsInterna.h | 79 +- DDCore/include/DD4hep/detail/Grammar.h | 70 - .../{BasicGrammar_inl.h => Grammar_parsed.h} | 125 +- .../include/DD4hep/detail/Grammar_unparsed.h | 47 + DDCore/include/DD4hep/detail/OpaqueData_inl.h | 84 - DDCore/include/Parsers/detail/Detector.h | 3 + DDCore/include/Parsers/detail/Detector.imp | 16 + DDCore/include/Parsers/detail/Dimension.h | 12 +- DDCore/include/Parsers/detail/Dimension.imp | 4 + DDCore/include/XML/UnicodeValues.h | 1 + DDCore/src/AlignmentData.cpp | 26 +- DDCore/src/AlignmentsCalculator.cpp | 14 +- DDCore/src/AlignmentsInterna.cpp | 18 +- DDCore/src/AlignmentsPrinter.cpp | 8 +- DDCore/src/ComponentProperties.cpp | 63 +- DDCore/src/Conditions.cpp | 20 +- DDCore/src/ConditionsData.cpp | 22 +- DDCore/src/ConditionsPrinter.cpp | 24 +- DDCore/src/ConditonsTypes.cpp | 48 - DDCore/src/DetectorData.cpp | 2 +- DDCore/src/{BasicGrammar.cpp => Grammar.cpp} | 103 +- ...BasicGrammarTypes.cpp => GrammarTypes.cpp} | 3 +- DDCore/src/OpaqueData.cpp | 54 +- DDCore/src/OpaqueDataBinder.cpp | 1 - DDCore/src/RootDictionary.h | 2 +- DDCore/src/plugins/ShapePlugins.cpp | 27 +- DDG4/src/Geant4Converter.cpp | 46 +- DDParsers/CMakeLists.txt | 2 +- DDParsers/include/Parsers/Parsers.h | 14 +- DDParsers/include/Parsers/spirit/GrammarsV2.h | 46 + DDParsers/include/Parsers/spirit/Parsers.h | 783 - .../include/Parsers/spirit/ParsersFactory.h | 18 +- .../spirit/ParsersStandardListCommon.h | 73 +- DDParsers/include/Parsers/spirit/ToStream.h | 94 +- DDParsers/include/Parsers/spirit/UsedParser.h | 3 +- .../Spirit/ParsersObjects_PxPyPzEVector.cpp | 4 +- .../src/Spirit/ParsersObjects_RotationZYX.cpp | 49 + .../src/Spirit/ParsersObjects_XYZPoint.cpp | 2 +- .../src/Spirit/ParsersObjects_XYZVector.cpp | 4 +- DDParsers/src/Spirit/ParsersStandardMisc1.cpp | 30 +- DDParsers/src/Spirit/ParsersStandardMisc2.cpp | 12 +- DDParsers/src/Spirit/ParsersStandardMisc3.cpp | 13 +- DDParsers/src/Spirit/ParsersStandardMisc4.cpp | 19 +- DDParsers/src/Spirit/ParsersStandardMisc5.cpp | 49 +- DDParsers/src/Spirit/ToStream.cpp | 119 +- cmake/DD4hepBuild.cmake | 2 +- cmake/MakeGaudiMap.cmake | 1 + examples/CMakeLists.txt | 3 +- examples/ClientTests/CMakeLists.txt | 5 +- .../compact/Check_Shape_Tesselated.xml | 202 - examples/ClientTests/ref/Ref_Tesselated.txt | 35 - examples/Conditions/CMakeLists.txt | 2 +- .../src/ConditionExampleObjects.cpp | 4 +- examples/DDCAD/CMakeLists.txt | 55 + .../compact/Check_Shape_BHV_Boxing_Toes.xml | 16 + .../DDCAD/compact/Check_Shape_BLEND_HUMAN.xml | 17 + .../DDCAD/compact/Check_Shape_COB_dwarf.xml | 16 + .../compact/Check_Shape_Collada_duck.xml | 14 + .../DDCAD/compact/Check_Shape_MS3D_jeep.xml | 14 + .../DDCAD/compact/Check_Shape_OBJ_spider.xml | 14 + .../DDCAD/compact/Check_Shape_PLY_Wuson.xml | 16 + examples/DDCAD/compact/Check_Shape_Test1.xml | 15 + examples/DDCAD/models/BLEND/HUMAN.blend | Bin 0 -> 142084 bytes examples/DDCAD/models/COB/dwarf.cob | Bin 0 -> 962915 bytes examples/DDCAD/models/Collada/duck.dae | 199 + examples/DDCAD/models/MS3D/jeep1.ms3d | Bin 0 -> 164803 bytes examples/DDCAD/models/PLY/Wuson.ply | 14931 ++++++++++++++++ examples/DDCAD/ref/Ref_BHV_Boxing_Toes.txt | 140 + examples/DDCAD/ref/Ref_BLEND_HUMAN.txt | 4420 +++++ examples/DDCAD/ref/Ref_COB_dwarf.txt | 862 + examples/DDCAD/ref/Ref_Collada_duck.txt | 2111 +++ examples/DDCAD/ref/Ref_PLY_Wuson.txt | 2120 +++ examples/DDCMS/CMakeLists.txt | 11 +- examples/DDCMS/include/DDCMS/DDShapes.h | 106 + examples/DDCMS/src/DDCMS.cpp | 2 +- examples/DDCMS/src/DDShapes.cpp | 68 + examples/DDCMS/src/plugins/DDShapeTest.cpp | 99 + examples/DDDB/include/DDDB/DDDBConversion.h | 6 +- examples/DDDB/src/plugins/CondDB2DDDB.cpp | 1 + examples/DDDB/src/plugins/DDDB2Objects.cpp | 1 + examples/DDG4_MySensDet/CMakeLists.txt | 1 + examples/Persistency/src/PersistencySetup.h | 2 +- 99 files changed, 26578 insertions(+), 2048 deletions(-) create mode 100644 DDCAD/CMakeLists.txt create mode 100644 DDCAD/include/DDCAD/ASSIMPReader.h create mode 100644 DDCAD/include/DDCAD/InputReader.h create mode 100644 DDCAD/src/ASSIMPReader.cpp create mode 100644 DDCAD/src/CADDictionary.h create mode 100644 DDCAD/src/CADImport.cpp create mode 100644 DDCAD/src/InputReader.cpp create mode 100644 DDCAD/src/plugins/CADPlugins.cpp rename DDCore/include/DD4hep/{BasicGrammar.h => Grammar.h} (58%) delete mode 100644 DDCore/include/DD4hep/detail/ComponentProperties_inl.h delete mode 100644 DDCore/include/DD4hep/detail/Grammar.h rename DDCore/include/DD4hep/detail/{BasicGrammar_inl.h => Grammar_parsed.h} (74%) create mode 100644 DDCore/include/DD4hep/detail/Grammar_unparsed.h delete mode 100644 DDCore/include/DD4hep/detail/OpaqueData_inl.h delete mode 100644 DDCore/src/ConditonsTypes.cpp rename DDCore/src/{BasicGrammar.cpp => Grammar.cpp} (62%) rename DDCore/src/{BasicGrammarTypes.cpp => GrammarTypes.cpp} (94%) delete mode 100755 DDParsers/include/Parsers/spirit/Parsers.h create mode 100644 DDParsers/src/Spirit/ParsersObjects_RotationZYX.cpp delete mode 100644 examples/ClientTests/compact/Check_Shape_Tesselated.xml delete mode 100644 examples/ClientTests/ref/Ref_Tesselated.txt create mode 100644 examples/DDCAD/CMakeLists.txt create mode 100644 examples/DDCAD/compact/Check_Shape_BHV_Boxing_Toes.xml create mode 100644 examples/DDCAD/compact/Check_Shape_BLEND_HUMAN.xml create mode 100644 examples/DDCAD/compact/Check_Shape_COB_dwarf.xml create mode 100644 examples/DDCAD/compact/Check_Shape_Collada_duck.xml create mode 100644 examples/DDCAD/compact/Check_Shape_MS3D_jeep.xml create mode 100644 examples/DDCAD/compact/Check_Shape_OBJ_spider.xml create mode 100644 examples/DDCAD/compact/Check_Shape_PLY_Wuson.xml create mode 100644 examples/DDCAD/compact/Check_Shape_Test1.xml create mode 100644 examples/DDCAD/models/BLEND/HUMAN.blend create mode 100644 examples/DDCAD/models/COB/dwarf.cob create mode 100644 examples/DDCAD/models/Collada/duck.dae create mode 100644 examples/DDCAD/models/MS3D/jeep1.ms3d create mode 100644 examples/DDCAD/models/PLY/Wuson.ply create mode 100644 examples/DDCAD/ref/Ref_BHV_Boxing_Toes.txt create mode 100644 examples/DDCAD/ref/Ref_BLEND_HUMAN.txt create mode 100644 examples/DDCAD/ref/Ref_COB_dwarf.txt create mode 100644 examples/DDCAD/ref/Ref_Collada_duck.txt create mode 100644 examples/DDCAD/ref/Ref_PLY_Wuson.txt create mode 100644 examples/DDCMS/include/DDCMS/DDShapes.h create mode 100644 examples/DDCMS/src/DDShapes.cpp create mode 100644 examples/DDCMS/src/plugins/DDShapeTest.cpp diff --git a/CMakeLists.txt b/CMakeLists.txt index 2148d5482..7fc95be7a 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -66,11 +66,12 @@ option(DD4HEP_USE_XERCESC "Enable 'Detector Builders' based on XercesC" OFF) option(DD4HEP_USE_GEANT4 "Enable the simulation part based on Geant4" OFF) option(DD4HEP_IGNORE_GEANT4_TLS "Ignore the tls flag Geant4 was compiled with" OFF) option(DD4HEP_USE_GEAR "Build gear wrapper for backward compatibility" OFF) -option(DD4HEP_USE_LCIO "Build lcio extensions" OFF) -option(BUILD_TESTING "Enable and build tests" ON) -option(BUILD_SHARED_LIBS "If OFF build STATIC Libraries" ON) -option(CMAKE_MACOSX_RPATH "Build with rpath on macos" ON) -SET(DD4HEP_BUILD_PACKAGES "DDRec DDDetectors DDCond DDAlign DDDigi DDG4 DDEve UtilityApps" +option(DD4HEP_USE_LCIO "Build lcio extensions" OFF) +option(DD4HEP_LOAD_ASSIMP "Download and build ASSIMP from github" OFF) +option(BUILD_TESTING "Enable and build tests" ON) +option(BUILD_SHARED_LIBS "If OFF build STATIC Libraries" ON) +option(CMAKE_MACOSX_RPATH "Build with rpath on macos" ON) +SET(DD4HEP_BUILD_PACKAGES "DDRec DDDetectors DDCond DDAlign DDCAD DDDigi DDG4 DDEve UtilityApps" CACHE STRING "List of DD4hep packages to build") SEPARATE_ARGUMENTS(DD4HEP_BUILD_PACKAGES) MESSAGE(STATUS "Will be building these packages: ${DD4HEP_BUILD_PACKAGES}") @@ -176,7 +177,7 @@ FOREACH(DDPackage GaudiPluginService DDParsers DDCore) dd4hep_print("|> Building ${DDPackage}") add_subdirectory(${DDPackage}) ENDFOREACH() - +message(STATUS "BUILD Packages: ${DD4HEP_BUILD_PACKAGES}") FOREACH(DDPackage IN LISTS DD4HEP_BUILD_PACKAGES) dd4hep_print("|> Building ${DDPackage}") add_subdirectory(${DDPackage}) diff --git a/DDCAD/CMakeLists.txt b/DDCAD/CMakeLists.txt new file mode 100644 index 000000000..190550f57 --- /dev/null +++ b/DDCAD/CMakeLists.txt @@ -0,0 +1,107 @@ +#========================================================================== +# AIDA Detector description implementation +#-------------------------------------------------------------------------- +# Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) +# All rights reserved. +# +# For the licensing terms see $DD4hepINSTALL/LICENSE. +# For the list of contributors see $DD4hepINSTALL/doc/CREDITS. +# +#========================================================================== +SET_PROPERTY(DIRECTORY . PROPERTY PACKAGE_NAME DDCAD) +# +if(${ROOT_VERSION} VERSION_LESS 6.21.01) + return() +endif() +# +# Open Asset Importer Library +# +find_package(assimp QUIET) +if(TARGET assimp::assimp) + MESSAGE(STATUS "+++> Use existing assimp implementation") +elseif(DD4HEP_LOAD_ASSIMP) + MESSAGE(STATUS "+++> Download and build assimp from gitub") + # + # Download The Open-Asset-Importer-Lib from GITHUB + # + include(ExternalProject) + find_package(Git REQUIRED) + set(ASSIMP_C_FLAGS "") + set(ASSIMP_CXX_FLAGS "-Wno-class-memaccess -Wno-tautological-compare -Wno-sizeof-pointer-memaccess") + ExternalProject_Add( + assimp_project + SOURCE_DIR ${CMAKE_CURRENT_BINARY_DIR}/external/assimp + INSTALL_DIR ${CMAKE_INSTALL_PREFIX} + GIT_REPOSITORY https://github.com/assimp/assimp.git + GIT_TAG v5.0.1 + CMAKE_ARGS -DCMAKE_INSTALL_PREFIX:PATH=${CMAKE_INSTALL_PREFIX} + -DCMAKE_CXX_STANDARD=${CMAKE_CXX_STANDARD} + -DCMAKE_CXX_FLAGS=${ASSIMP_CXX_FLAGS} + -DCMAKE_C_FLAGS=${ASSIMP_C_FLAGS} + -DCMAKE_SHARED_LINKER_FLAGS=${CMAKE_SHARED_LINKER_FLAGS} + -DBUILD_SHARED_LIBS=1 + -DCMAKE_BUILD_TYPE=${CMAKE_BUILD_TYPE} + BUILD_COMMAND ${CMAKE_BUILD_TOOL} install + INSTALL_COMMAND "" + + ) + ExternalProject_Get_Property(assimp_project INSTALL_DIR) + set(ASSIMP_INCLUDE_DIRS "${INSTALL_DIR}/include") + EXECUTE_PROCESS(COMMAND ${CMAKE_COMMAND} -E make_directory ${ASSIMP_INCLUDE_DIRS}) + + add_library(assimp SHARED IMPORTED GLOBAL) + add_dependencies(assimp assimp_project) + add_library(assimp::assimp ALIAS assimp) + if( "${CMAKE_BUILD_TYPE}" STREQUAL "Debug" ) + set_target_properties(assimp PROPERTIES IMPORTED_LOCATION ${INSTALL_DIR}/lib/libassimpd.so) + else() + set_target_properties(assimp PROPERTIES IMPORTED_LOCATION ${INSTALL_DIR}/lib/libassimp.so) + endif() + target_include_directories(assimp INTERFACE ${ASSIMP_INCLUDE_DIRS}) +else() + MESSAGE(STATUS "+++> No ASSIMP implementation accessible. CAD reading will not be supported!") + return() +endif() +# +MESSAGE(STATUS "Open-Asset-Importer: ASSIMP_INCLUDE_DIRS: ${ASSIMP_INCLUDE_DIRS}") +MESSAGE(STATUS "Open-Asset-Importer: ASSIMP_LIBRARIES: ${ASSIMP_LIBRARIES}") +# +# For the rest: ensure assimp is built before starting to compile..... +# +dd4hep_add_dictionary(G__DDCAD + SOURCES ../DDCore/include/ROOT/Warnings.h src/CADDictionary.h + LINKDEF ../DDCore/include/ROOT/LinkDef.h + USES DD4hep::DDCore DD4hep::DDParsers assimp::assimp +) + +file(GLOB DDCAD_SOURCES ${CMAKE_CURRENT_SOURCE_DIR}/src/*.cpp) +add_library(DDCAD ${DDCAD_SOURCES} G__DDCAD.cxx) +add_library(DD4hep::DDCAD ALIAS DDCAD) +# IF(TARGET assimp_project) +# MESSAGE(STATUS "have to build assimp first") +# add_dependencies(G__DDCAD assimp_project) +# add_dependencies(DDCAD assimp_project) +# ENDIF() + +if(TARGET assimp::assimp) +MESSAGE(STATUS "have target assimp::assimp") +endif() + +target_include_directories(DDCAD + PUBLIC + $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/include/> + $<INSTALL_INTERFACE:include> +) +target_link_libraries(DDCAD PUBLIC DD4hep::DDCore assimp::assimp ) + +dd4hep_add_plugin(DDCADPlugins + SOURCES src/plugins/*.cpp + USES DD4hep::DDCore DD4hep::DDCAD +) + +set_target_properties(DDCAD DDCADPlugins PROPERTIES VERSION ${DD4hep_VERSION} SOVERSION ${DD4hep_SOVERSION}) + +install(DIRECTORY include/DDCAD DESTINATION include) +install(TARGETS DDCAD DDCADPlugins EXPORT DD4hep + LIBRARY DESTINATION lib + ARCHIVE DESTINATION lib) diff --git a/DDCAD/include/DDCAD/ASSIMPReader.h b/DDCAD/include/DDCAD/ASSIMPReader.h new file mode 100644 index 000000000..8f87caac2 --- /dev/null +++ b/DDCAD/include/DDCAD/ASSIMPReader.h @@ -0,0 +1,39 @@ +//========================================================================== +// AIDA Detector description implementation +//-------------------------------------------------------------------------- +// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) +// All rights reserved. +// +// For the licensing terms see $DD4hepINSTALL/LICENSE. +// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. +// +// Author : M.Frank +// +//========================================================================== +#ifndef DD4HEP_DDCAD_ASSIMPREADER_H +#define DD4HEP_DDCAD_ASSIMPREADER_H + +/// Framework include files +#include <DDCAD/InputReader.h> + +/// C/C++ include files + +/// Namespace for the AIDA detector description toolkit +namespace dd4hep { + + /// Namespace for implementation details of the AIDA detector description toolkit + namespace cad { + + class ASSIMPReader : public InputReader { + public: + using InputReader::InputReader; + /// Default destructor + virtual ~ASSIMPReader() = default; + /// Read input file + virtual std::vector<std::unique_ptr<TGeoTessellated> > + read(const std::string& source) const override; + }; + + } /* End namespace cad */ +} /* End namespace dd4hep */ +#endif // DD4HEP_DDCAD_ASSIMPREADER_H diff --git a/DDCAD/include/DDCAD/InputReader.h b/DDCAD/include/DDCAD/InputReader.h new file mode 100644 index 000000000..f7ecaa573 --- /dev/null +++ b/DDCAD/include/DDCAD/InputReader.h @@ -0,0 +1,45 @@ +//========================================================================== +// AIDA Detector description implementation +//-------------------------------------------------------------------------- +// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) +// All rights reserved. +// +// For the licensing terms see $DD4hepINSTALL/LICENSE. +// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. +// +// Author : M.Frank +// +//========================================================================== +#ifndef DD4HEP_DDCAD_INPUTREADER_H +#define DD4HEP_DDCAD_INPUTREADER_H + +// Framework include files +#include <DD4hep/config.h> + +#include <TGeoTessellated.h> + +/// C/C++ include files +#include <string> +#include <vector> +#include <memory> + +/// Namespace for the AIDA detector description toolkit +namespace dd4hep { + + /// Namespace for implementation details of the AIDA detector description toolkit + namespace cad { + + class InputReader { + public: + /// Default constructor + InputReader(); + /// Default destructor + virtual ~InputReader(); + /// Read input file + virtual std::vector<std::unique_ptr<TGeoTessellated> > + read(const std::string& source) const = 0; + }; + + } /* End namespace cad */ +} /* End namespace dd4hep */ +#endif // DD4HEP_DDCAD_INPUTREADER_H diff --git a/DDCAD/src/ASSIMPReader.cpp b/DDCAD/src/ASSIMPReader.cpp new file mode 100644 index 000000000..d6ff10966 --- /dev/null +++ b/DDCAD/src/ASSIMPReader.cpp @@ -0,0 +1,68 @@ +//========================================================================== +// AIDA Detector description implementation +//-------------------------------------------------------------------------- +// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) +// All rights reserved. +// +// For the licensing terms see $DD4hepINSTALL/LICENSE. +// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. +// +// Author : M.Frank +// +//========================================================================== + +/// Framework include files +#include <DD4hep/Shapes.h> +#include <DD4hep/Printout.h> +#include <DDCAD/ASSIMPReader.h> + +/// Open Asset Importer Library + +#include "assimp/Importer.hpp" +#include "assimp/scene.h" +#include "assimp/postprocess.h" + +using namespace std; +using namespace dd4hep; +using namespace dd4hep::cad; + +/// Read input file +vector<unique_ptr<TGeoTessellated> > +ASSIMPReader::read(const string& source) const { + vector<unique_ptr<TGeoTessellated> > result; + unique_ptr<Assimp::Importer> importer = make_unique<Assimp::Importer>(); + int flags = aiProcess_Triangulate|aiProcess_JoinIdenticalVertices|aiProcess_CalcTangentSpace; + auto scene = importer->ReadFile( source.c_str(), flags); + if ( !scene ) { + except("ASSIMPReader","+++ FileNotFound: %s",source.c_str()); + } + for (unsigned int index = 0; index < scene->mNumMeshes; index++) { + aiMesh* mesh = scene->mMeshes[index]; + if ( mesh->mNumFaces > 0 ) { + auto name = mesh->mName.C_Str(); + TessellatedSolid shape(name, mesh->mNumFaces); + const aiVector3D* v = mesh->mVertices; + for(unsigned int i=0; i < mesh->mNumFaces; i++) { + const aiFace& face = mesh->mFaces[i]; + const unsigned int* idx = face.mIndices; + Tessellated::Vertex_t a(v[idx[0]].x, v[idx[0]].y, v[idx[0]].z); + Tessellated::Vertex_t b(v[idx[1]].x, v[idx[1]].y, v[idx[1]].z); + Tessellated::Vertex_t c(v[idx[2]].x, v[idx[2]].y, v[idx[2]].z); + shape->AddFacet(a,b,c); +#if 0 + if ( scene->HasMaterials() ) { + const aiMaterial* mat = scene->mMaterials[mesh->mMaterialIndex]; + printout(INFO,"ASSIMPReader","+++ Material: %p",mat); + } +#endif + } + if ( shape->GetNfacets() > 2 ) { + result.emplace_back(unique_ptr<TGeoTessellated>(shape.ptr())); + continue; + } + delete shape.ptr(); + } + } + return result; +} + diff --git a/DDCAD/src/CADDictionary.h b/DDCAD/src/CADDictionary.h new file mode 100644 index 000000000..de4eae8d6 --- /dev/null +++ b/DDCAD/src/CADDictionary.h @@ -0,0 +1,41 @@ +//========================================================================== +// AIDA Detector description implementation +//-------------------------------------------------------------------------- +// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) +// All rights reserved. +// +// For the licensing terms see $DD4hepINSTALL/LICENSE. +// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. +// +// Author : M.Frank +// +//========================================================================== +#ifndef DD4HEP_DDCAD_CADDICTIONARY_H +#define DD4HEP_DDCAD_CADDICTIONARY_H + +// Framework include files +#include "DDCAD/InputReader.h" + + +namespace { class CADDictionary {}; } + +// ------------------------------------------------------------------------- +// Regular dd4hep dictionaries +// ------------------------------------------------------------------------- +#if defined(__CINT__) || defined(__MAKECINT__) || defined(__CLING__) || defined(__ROOTCLING__) +#pragma link off all globals; +#pragma link off all classes; +#pragma link off all functions; + +#pragma link C++ namespace dd4hep; +#pragma link C++ namespace dd4hep::cad; + +using namespace dd4hep; +using namespace dd4hep::cad; + +#pragma link C++ class InputReader+; + + +#endif + +#endif // DD4HEP_DDCAD_CADDICTIONARY_H diff --git a/DDCAD/src/CADImport.cpp b/DDCAD/src/CADImport.cpp new file mode 100644 index 000000000..52c99acdb --- /dev/null +++ b/DDCAD/src/CADImport.cpp @@ -0,0 +1,13 @@ +//========================================================================== +// AIDA Detector description implementation +//-------------------------------------------------------------------------- +// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) +// All rights reserved. +// +// For the licensing terms see $DD4hepINSTALL/LICENSE. +// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. +// +// Author : M.Frank +// +//========================================================================== + diff --git a/DDCAD/src/InputReader.cpp b/DDCAD/src/InputReader.cpp new file mode 100644 index 000000000..d581ac31a --- /dev/null +++ b/DDCAD/src/InputReader.cpp @@ -0,0 +1,28 @@ +//========================================================================== +// AIDA Detector description implementation +//-------------------------------------------------------------------------- +// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) +// All rights reserved. +// +// For the licensing terms see $DD4hepINSTALL/LICENSE. +// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. +// +// Author : M.Frank +// +//========================================================================== + +/// Framework include files +#include "DDCAD/InputReader.h" + +using namespace dd4hep; +using namespace dd4hep::cad; + +/// Default constructor +InputReader::InputReader() +{ +} + +/// Default destructor +InputReader::~InputReader() +{ +} diff --git a/DDCAD/src/plugins/CADPlugins.cpp b/DDCAD/src/plugins/CADPlugins.cpp new file mode 100644 index 000000000..bd9df0b9c --- /dev/null +++ b/DDCAD/src/plugins/CADPlugins.cpp @@ -0,0 +1,78 @@ +//========================================================================== +// AIDA Detector description implementation +//-------------------------------------------------------------------------- +// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) +// All rights reserved. +// +// For the licensing terms see $DD4hepINSTALL/LICENSE. +// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. +// +// Author : M.Frank +// +//========================================================================== + +/// Framework include files +#include <DD4hep/DetFactoryHelper.h> +#include <DD4hep/Printout.h> +#include <XML/Utilities.h> +#include <DDCAD/ASSIMPReader.h> + +// C/C++ include files + +using namespace std; +using namespace dd4hep; +using namespace dd4hep::detail; + +static Handle<TObject> create_CAD_Shape(Detector&, xml_h e) { + xml_elt_t elt(e); + string fname = elt.attr<string>(_U(ref)); + auto shapes = cad::ASSIMPReader().read(fname); + if ( shapes.empty() ) { + except("CAD_Shape","+++ CAD file: %s does not contain any " + "understandable tessellated shapes.", fname.c_str()); + } + Solid solid; + size_t count = shapes.size(); + if ( count == 1 ) { + solid = shapes[0].release(); + } + else { + if ( elt.hasAttr(_U(item)) ) { + size_t which = elt.attr<int>(_U(item)); + solid = shapes[which].release(); + } + else if ( elt.hasAttr(_U(mesh)) ) { + size_t which = elt.attr<int>(_U(mesh)); + solid = shapes[which].release(); + } + else { + except("CAD_Shape","+++ CAD file: %s does contains %ld tessellated shapes. " + "You need to add a selector.", fname.c_str(), shapes.size()); + } + } + if ( elt.hasAttr(_U(name)) ) solid->SetName(elt.attr<string>(_U(name)).c_str()); + return solid; +} +DECLARE_XML_SHAPE(CAD_Shape__shape_constructor,create_CAD_Shape) + + +static Handle<TObject> create_CAD_MultiShape(Detector&, xml_h e) { + xml_elt_t elt(e); + string fname = elt.attr<string>(_U(ref)); + auto shapes = cad::ASSIMPReader().read(fname); + if ( shapes.empty() ) { + except("CAD_Shape","+++ CAD file: %s does not contain any " + "understandable tessellated shapes.", fname.c_str()); + } + Assembly assembly("assembly"); + for(size_t i=0; i < shapes.size(); ++i) { + Solid solid = shapes[i].release(); + if ( solid.isValid() ) { + Volume vol(_toString(int(i),"vol_%d"), solid, Detector::getInstance().material("Air")); + assembly.placeVolume(vol); + } + } + if ( elt.hasAttr(_U(name)) ) assembly->SetName(elt.attr<string>(_U(name)).c_str()); + return assembly; +} +DECLARE_XML_SHAPE(CAD_MultiShape__volume_constructor,create_CAD_MultiShape) diff --git a/DDCore/CMakeLists.txt b/DDCore/CMakeLists.txt index dc2026d94..3285581c7 100644 --- a/DDCore/CMakeLists.txt +++ b/DDCore/CMakeLists.txt @@ -25,7 +25,8 @@ dd4hep_add_dictionary( G__DD4hep include/DD4hep/Plugins.h include/DD4hep/IoStreams.h include/DD4hep/SurfaceInstaller.h - include/DD4hep/detail/BasicGrammar_inl.h + include/DD4hep/detail/Grammar_parsed.h + include/DD4hep/detail/Grammar_unparsed.h include/XML/UnicodeValues.h include/XML/tinyxml.h include/XML/tinystring.h diff --git a/DDCore/include/DD4hep/ComponentProperties.h b/DDCore/include/DD4hep/ComponentProperties.h index 8b8cbf184..3064dde3a 100644 --- a/DDCore/include/DD4hep/ComponentProperties.h +++ b/DDCore/include/DD4hep/ComponentProperties.h @@ -14,12 +14,13 @@ #define DD4HEP_DDG4_COMPONENTPROPERTIES_H // Framework include files -#include "DD4hep/config.h" +#include "DD4hep/Grammar.h" // C/C++ include files #include <algorithm> #include <stdexcept> #include <typeinfo> +#include <sstream> #include <string> #include <map> @@ -97,17 +98,13 @@ namespace dd4hep { /// Reference to the grammar of this property (extended type description) const PropertyGrammar* m_hdl = 0; - /// Setup property - template <typename TYPE> void make(TYPE& value); public: /// Default constructor Property() = default; /// Copy constructor Property(const Property& p) = default; /// User constructor - template <typename TYPE> Property(TYPE& val) : m_par(0), m_hdl(0) { - make(val); - } + template <typename TYPE> Property(TYPE& val); /// Property type name static std::string type(const Property& proptery); /// Property type name @@ -140,6 +137,43 @@ namespace dd4hep { template <typename TYPE> void set(const TYPE& value); }; + /// User constructor + template <typename TYPE> Property::Property(TYPE& val) : m_par(&val), m_hdl(0) { + static PropertyGrammar grammar(BasicGrammar::instance<TYPE>()); + m_hdl = &grammar; + } + + /// Set value of this property + template <typename TYPE> void Property::set(const TYPE& val) { + const PropertyGrammar& grm = grammar(); + if (grm.type() == typeid(TYPE)) + *(TYPE*) m_par = val; + else if (!grm.fromString(m_par, BasicGrammar::instance< TYPE >().str(&val))) + PropertyGrammar::invalidConversion(typeid(TYPE), grm.type()); + } + + /// Assignment operator / set new balue + template <typename TYPE> Property& Property::operator=(const TYPE& val) { + this->set(val); + return *this; + } + + /// Retrieve value from stack (large values e.g. vectors etc.) + template <typename TYPE> void Property::value(TYPE& val) const { + const PropertyGrammar& grm = grammar(); + if (grm.type() == typeid(TYPE)) + val = *(TYPE*) m_par; + else if (!BasicGrammar::instance< TYPE >().fromString(&val, this->str())) + PropertyGrammar::invalidConversion(grm.type(), typeid(TYPE)); + } + + /// Retrieve value + template <typename TYPE> TYPE Property::value() const { + TYPE temp; + this->value(temp); + return temp; + } + /// Concrete template instantiation of a combined property value pair. /** * Note: This class cannot be saved to a ROOT file! diff --git a/DDCore/include/DD4hep/Conditions.h b/DDCore/include/DD4hep/Conditions.h index 151782777..0c7fcd697 100644 --- a/DDCore/include/DD4hep/Conditions.h +++ b/DDCore/include/DD4hep/Conditions.h @@ -200,13 +200,19 @@ namespace dd4hep { /** Conditions meta-data and handling of the data binding */ /// Access the opaque data block - OpaqueData& data() const; + OpaqueDataBlock& data() const; /// Access to the type information const std::type_info& typeInfo() const; /// Access to the grammar type const BasicGrammar& descriptor() const; /// Check if object is already bound.... bool is_bound() const { return isValid() ? data().is_bound() : false; } + /** Construct conditions object and bind the data + * + * Note: The type definition is possible exactly once. + * Any further rebindings MUST match the identical type. + */ + template <typename T, typename... Args> T& construct(Args&&... args); /** Bind the data of the conditions object to a given format. * * Note: The type definition is possible exactly once. @@ -223,8 +229,6 @@ namespace dd4hep { template <typename T> T& get(); /// Generic getter (const version). Specify the exact type, not a polymorph type template <typename T> const T& get() const; - /// Re-evaluate the conditions data according to the previous bound type definition - Condition& rebind(); }; /// Initializing constructor @@ -235,6 +239,26 @@ namespace dd4hep { template <typename Q> inline Condition::Condition(const Handle<Q>& e) : Handle<Condition::Object>(e) {} + /// Construct conditions object and bind the data + template <typename T, typename... Args> T& Condition::construct(Args&&... args) { + return data().construct<T,Args...>(args...); + } + /// Bind the data of the conditions object to a given format. + template <typename T> T& Condition::bind() { + return data().bind<T>(); + } + /// Bind the data of the conditions object to a given format and fill data from string representation. + template <typename T> T& Condition::bind(const std::string& val) { + return data().bind<T>(val); + } + /// Generic getter. Specify the exact type, not a polymorph type + template <typename T> T& Condition::get() { + return data().get<T>(); + } + /// Generic getter (const version). Specify the exact type, not a polymorph type + template <typename T> const T& Condition::get() const { + return data().get<T>(); + } /// Key definition to optimize ans simplyfy the access to conditions entities /** diff --git a/DDCore/include/DD4hep/ConditionsData.h b/DDCore/include/DD4hep/ConditionsData.h index 9b0f49566..dfdbb5d23 100644 --- a/DDCore/include/DD4hep/ConditionsData.h +++ b/DDCore/include/DD4hep/ConditionsData.h @@ -16,7 +16,6 @@ // Framework include files #include "DD4hep/Objects.h" #include "DD4hep/Conditions.h" -#include "DD4hep/detail/ConditionsInterna.h" // C/C++ include files #include <vector> diff --git a/DDCore/include/DD4hep/BasicGrammar.h b/DDCore/include/DD4hep/Grammar.h similarity index 58% rename from DDCore/include/DD4hep/BasicGrammar.h rename to DDCore/include/DD4hep/Grammar.h index 4e817be24..2c2f0f5f1 100644 --- a/DDCore/include/DD4hep/BasicGrammar.h +++ b/DDCore/include/DD4hep/Grammar.h @@ -10,11 +10,20 @@ // Author : M.Frank // //========================================================================== -#ifndef DD4HEP_DDG4_BASICGRAMMAR_H -#define DD4HEP_DDG4_BASICGRAMMAR_H +// +// NOTE: +// +// This is an internal include file. It should only be included to +// instantiate code. Otherwise the BasicGrammar include file should be +// sufficient for all practical purposes. +// +//========================================================================== +#ifndef DD4HEP_DDCORE_DETAIL_GRAMMAR_H +#define DD4HEP_DDCORE_DETAIL_GRAMMAR_H // Framework include files #include "DD4hep/config.h" +#include "DD4hep/Primitives.h" // C/C++ include files #include <string> @@ -26,6 +35,9 @@ class TClass; /// Namespace for the AIDA detector description toolkit namespace dd4hep { + /// Forward declarations + class GrammarRegistry; + /// Base class describing string evaluation to C++ objects using boost::spirit /** * Grammar object handle the boost::spirit conversion between strings and numeric @@ -41,6 +53,7 @@ namespace dd4hep { * \ingroup DD4HEP */ class BasicGrammar { + friend class GrammarRegistry; public: typedef unsigned long long int key_type; /// Instance type name @@ -62,10 +75,15 @@ namespace dd4hep { virtual ~BasicGrammar(); /// Second step initialization after the virtual table is fixed - void initialize() const; - int initialized_data_type() const; + void initialize() const; + int initialized_data_type() const; TClass* initialized_clazz() const; + + /// Instance factory + static void pre_note(const std::type_info& info, const BasicGrammar& (*fcn)()); + static const BasicGrammar& get(const std::type_info& info); + public: /// Instance factory template <typename TYPE> static const BasicGrammar& instance(); @@ -95,67 +113,123 @@ namespace dd4hep { virtual const std::type_info& type() const = 0; /// Access the object size (sizeof operator) virtual size_t sizeOf() const = 0; - /// Serialize an opaque value to a string - virtual std::string str(const void* ptr) const = 0; - /// Set value from serialized string. On successful data conversion TRUE is returned. - virtual bool fromString(void* ptr, const std::string& value) const = 0; + /// Opaque copy constructor + virtual void copy(void* to, const void* from) const = 0; /// Opaque object destructor virtual void destruct(void* pointer) const = 0; - /// Opaque object copy construction. Memory must be allocated externally - virtual void copy(void* to, const void* from) const = 0; + /// Bind opaque address to object virtual void bind(void* pointer) const = 0; + /// Serialize an opaque value to a string + virtual std::string str(const void* ptr) const = 0; + /// Set value from serialized string. On successful data conversion TRUE is returned. + virtual bool fromString(void* ptr, const std::string& value) const = 0; }; - /// Concrete type dependent simple grammar definition. Common functionality + /// Concrete type dependent grammar definition /** - * Note: All methods below only throw exceptions. This "simple" grammar - * cannot answer them. There is also no string parsing implemented for these. - * * \author M.Frank * \date 13.08.2013 * \ingroup DD4HEP */ - class SimpleGrammar : public BasicGrammar { - protected: + template <typename TYPE> class Grammar : public BasicGrammar { + private: friend class BasicGrammar; - - size_t object_size; - /// Reference to type information - const std::type_info& object_type; - - /// Standard constructor - SimpleGrammar(size_t siz, const std::type_info& typ); /// Default destructor - virtual ~SimpleGrammar(); + virtual ~Grammar(); + /// Standard constructor + Grammar(); public: - template <typename TYPE> static BasicGrammar* instance() { - static SimpleGrammar s_grammar(sizeof(TYPE), typeid(TYPE)); - return &s_grammar; - } + /** Base class overrides */ /// PropertyGrammar overload: Access to the type information - virtual const std::type_info& type() const override { return object_type; } - /// Access the object size (sizeof operator) - virtual size_t sizeOf() const override { return object_size; } + virtual const std::type_info& type() const override; /// Access to the type information - virtual bool equals(const std::type_info& other_type) const override - { return other_type == object_type; } - /** Base class overrides */ - /// PropertyGrammar overload: Serialize a property to a string - virtual std::string str(const void* ptr) const override; - /// PropertyGrammar overload: Retrieve value from string - virtual bool fromString(void* ptr, const std::string& value) const override; + virtual bool equals(const std::type_info& other_type) const override; + /// Access the object size (sizeof operator) + virtual size_t sizeOf() const override; + /// Opaque copy constructor + virtual void copy(void* to, const void* from) const override; /// Opaque object destructor virtual void destruct(void* pointer) const override; - /// Opaque object copy construction. Memory must be allocated externally - virtual void copy(void* to, const void* from) const override; /// Bind opaque address to object virtual void bind(void* pointer) const override; - }; + /// PropertyGrammar overload: Serialize a property to a string + virtual std::string str(const void* ptr) const override; + /// PropertyGrammar overload: Retrieve value from string + virtual bool fromString(void* ptr, const std::string& value) const override; + + /** Class member function */ + /// Evaluate string value if possible before calling boost::spirit + virtual int evaluate(void* ptr, const std::string& value) const; + }; + + /// Standarsd constructor + template <typename TYPE> Grammar<TYPE>::Grammar() : BasicGrammar(typeName(typeid(TYPE))) { + } + + /// Default destructor + template <typename TYPE> Grammar<TYPE>::~Grammar() { + } -} // End namespace dd4hep + /// PropertyGrammar overload: Access to the type information + template <typename TYPE> const std::type_info& Grammar<TYPE>::type() const { + return typeid(TYPE); + } + + /// Access to the type information + template <typename TYPE> bool Grammar<TYPE>::equals(const std::type_info& other_type) const { + return other_type == typeid(TYPE); + } + + /// Access the object size (sizeof operator) + template <typename TYPE> size_t Grammar<TYPE>::sizeOf() const { + return sizeof(TYPE); + } + + /// Opaque object destructor + template <typename TYPE> void Grammar<TYPE>::destruct(void* pointer) const { + TYPE* obj = (TYPE*)pointer; + obj->~TYPE(); + } + + /// Opaque copy constructor + template <typename TYPE> void Grammar<TYPE>::copy(void* to, const void* from) const { + const TYPE* from_obj = (const TYPE*)from; + new (to) TYPE(*from_obj); + } + + /// Bind opaque address to object + template <typename TYPE> void Grammar<TYPE>::bind(void* pointer) const { + new(pointer) TYPE(); + } + + /// Grammar registry interface + /** + * \author M.Frank + * \date 13.08.2013 + * \ingroup DD4HEP + */ + class GrammarRegistry { + /// Default constructor + GrammarRegistry() = default; + public: + /// Registry instance singleton + static const GrammarRegistry& instance(); + template <typename T> static const GrammarRegistry& pre_note() { + // Apple (or clang) wants this.... + std::string (Grammar<T>::*str)(const void*) const = &Grammar<T>::str; + bool (Grammar<T>::*fromString)(void*, const std::string&) const = &Grammar<T>::fromString; + int (Grammar<T>::*evaluate)(void*, const std::string&) const = &Grammar<T>::evaluate; + if ( !(fromString && str && evaluate) ) { + BasicGrammar::invalidConversion("Grammar",typeid(T)); + } + BasicGrammar::pre_note(typeid(T),BasicGrammar::instance<T>); + return instance(); + } + }; -#endif /* DD4HEP_DDG4_BASICGRAMMAR_H */ +} +#endif /* DD4HEP_DDCORE_DETAIL_GRAMMAR_H */ diff --git a/DDCore/include/DD4hep/Objects.h b/DDCore/include/DD4hep/Objects.h index ffb6e9086..9b0897ffd 100644 --- a/DDCore/include/DD4hep/Objects.h +++ b/DDCore/include/DD4hep/Objects.h @@ -43,6 +43,9 @@ class TGeoIdentity; #include "Math/RotationZYX.h" #include "Math/EulerAngles.h" #include "Math/VectorUtil.h" +#include <TGeoElement.h> +#include <TGeoMaterial.h> +#include <TGeoMedium.h> #include "TGeoPhysicalNode.h" #if ROOT_VERSION_CODE >= ROOT_VERSION(6,17,0) #include "TGDMLMatrix.h" @@ -522,5 +525,4 @@ namespace ROOT { bool operator<(const PxPyPzEVector& a, const PxPyPzEVector& b); } } - #endif /* DD4HEP_DDCORE_OBJECTS_H */ diff --git a/DDCore/include/DD4hep/OpaqueData.h b/DDCore/include/DD4hep/OpaqueData.h index ac51863ed..223d96b98 100644 --- a/DDCore/include/DD4hep/OpaqueData.h +++ b/DDCore/include/DD4hep/OpaqueData.h @@ -13,6 +13,9 @@ #ifndef DD4HEP_OPAQUEDATA_H #define DD4HEP_OPAQUEDATA_H +// Framework include files +#include "DD4hep/Grammar.h" + // C/C++ include files #include <typeinfo> #include <vector> @@ -41,17 +44,17 @@ namespace dd4hep { /// Standard Destructor virtual ~OpaqueData() = default; /// Copy constructor - OpaqueData(const OpaqueData& c) = default; + OpaqueData(const OpaqueData& copy) = default; /// Assignment operator - OpaqueData& operator=(const OpaqueData& c) = default; + OpaqueData& operator=(const OpaqueData& copy) = default; public: /// Data type - const BasicGrammar* grammar = 0; //! + const BasicGrammar* grammar = 0; //! No ROOT persistency protected: /// Pointer to object data - void* pointer = 0; //! No ROOT persistency + void* pointer = 0; //! No ROOT persistency public: /// Create data block from string representation @@ -72,7 +75,7 @@ namespace dd4hep { template <typename T> const T& get() const; }; - + /// Class describing an opaque conditions data block /** * This class is used to handle the actual data IO. @@ -107,24 +110,20 @@ namespace dd4hep { public: /// Standard initializing constructor OpaqueDataBlock(); - /// Copy constructor - OpaqueDataBlock(const OpaqueDataBlock& data); + /// Copy constructor (Required by ROOT dictionaries) + OpaqueDataBlock(const OpaqueDataBlock& copy); /// Standard Destructor ~OpaqueDataBlock(); - /// Assignment operator - OpaqueDataBlock& operator=(const OpaqueDataBlock& clone); - /// Move the data content: 'from' will be reset to NULL - bool move(OpaqueDataBlock& from); + /// Assignment operator (Required by ROOT dictionaries) + OpaqueDataBlock& operator=(const OpaqueDataBlock& copy); /// Write access to the data buffer. Is only valid after call to bind<T>() void* ptr() const { return pointer; } /// Bind data value void* bind(const BasicGrammar* grammar); /// Bind data value in place void* bind(void* ptr, size_t len, const BasicGrammar* grammar); - /// Bind external data value to the pointer - void bindExtern(void* ptr, const BasicGrammar* grammar); - /// Bind external data value to the pointer - template <typename T> void bindExtern(T* ptr); + /// Construct conditions object and bind the data + template <typename T, typename... Args> T& construct(Args&&... args); /// Bind data value template <typename T> T& bind(); /// Bind data value @@ -133,18 +132,56 @@ namespace dd4hep { template <typename T> T& bind(const std::string& value); /// Bind data value template <typename T> T& bind(void* ptr, size_t len, const std::string& value); - /// Set data value - void assign(const void* ptr,const std::type_info& typ); }; -} /* End namespace dd4hep */ -#include "DD4hep/BasicGrammar.h" + /// Generic getter. Specify the exact type, not a polymorph type + template <typename T> T& OpaqueData::get() { + if (!grammar || !grammar->equals(typeid(T))) { throw std::bad_cast(); } + return *(T*)pointer; + } -/// Namespace for the AIDA detector description toolkit -namespace dd4hep { + /// Generic getter (const version). Specify the exact type, not a polymorph type + template <typename T> const T& OpaqueData::get() const { + if (!grammar || !grammar->equals(typeid(T))) { throw std::bad_cast(); } + return *(T*)pointer; + } + + /// Construct conditions object and bind the data + template <typename T, typename... Args> T& OpaqueDataBlock::construct(Args&&... args) { + this->bind(&BasicGrammar::instance<T>()); + return *(new(this->pointer) T(std::forward<Args>(args)...)); + } + + /// Bind data value + template <typename T> T& OpaqueDataBlock::bind() { + this->bind(&BasicGrammar::instance<T>()); + return *(new(this->pointer) T()); + } + + /// Bind data value + template <typename T> T& OpaqueDataBlock::bind(void* ptr, size_t len) { + this->bind(ptr,len,&BasicGrammar::instance<T>()); + return *(new(this->pointer) T()); + } + + /// Bind grammar and assign value + template <typename T> T& OpaqueDataBlock::bind(const std::string& value) { + T& ret = this->bind<T>(); + if ( !value.empty() && !this->fromString(value) ) { + throw std::runtime_error("OpaqueDataBlock::set> Failed to bind type "+ + typeName(typeid(T))+" to condition data block."); + } + return ret; + } - template <typename T> inline void OpaqueDataBlock::bindExtern(T* ptr) { - this->OpaqueDataBlock::bindExtern((void*)ptr, SimpleGrammar::instance<T>()); + /// Bind grammar and assign value + template <typename T> T& OpaqueDataBlock::bind(void* ptr, size_t len, const std::string& value) { + T& ret = this->bind<T>(ptr, len); + if ( !value.empty() && !this->fromString(value) ) { + throw std::runtime_error("OpaqueDataBlock::set> Failed to bind type "+ + typeName(typeid(T))+" to condition data block."); + } + return ret; } } /* End namespace dd4hep */ #endif /* DD4HEP_OPAQUEDATA_H */ diff --git a/DDCore/include/DD4hep/detail/ComponentProperties_inl.h b/DDCore/include/DD4hep/detail/ComponentProperties_inl.h deleted file mode 100644 index 7ae5bfb21..000000000 --- a/DDCore/include/DD4hep/detail/ComponentProperties_inl.h +++ /dev/null @@ -1,100 +0,0 @@ -//========================================================================== -// AIDA Detector description implementation -//-------------------------------------------------------------------------- -// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) -// All rights reserved. -// -// For the licensing terms see $DD4hepINSTALL/LICENSE. -// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. -// -// Author : M.Frank -// -//========================================================================== -#ifndef DD4HEP_DDG4_COMPONENTPROPERTIES_INL_H -#define DD4HEP_DDG4_COMPONENTPROPERTIES_INL_H - -// Framework include files -#include "DD4hep/BasicGrammar.h" -#include "DD4hep/ComponentProperties.h" - -// C/C++ include files -#include <sstream> -#include <vector> -#include <list> -#include <map> -#include <set> -#include <stdexcept> - -/// dd4hep namespace declaration -namespace dd4hep { - - /// Setup property - template <typename TYPE> void Property::make(TYPE& val) { - static PropertyGrammar grammar(BasicGrammar::instance<TYPE>()); - m_hdl = &grammar; - m_par = &val; - } - - /// Set value of this property - template <typename TYPE> void Property::set(const TYPE& val) { - const PropertyGrammar& grm = grammar(); - if (grm.type() == typeid(TYPE)) - *(TYPE*) m_par = val; - else if (!grm.fromString(m_par, BasicGrammar::instance< TYPE >().str(&val))) - PropertyGrammar::invalidConversion(typeid(TYPE), grm.type()); - } - - /// Assignment operator / set new balue - template <typename TYPE> Property& Property::operator=(const TYPE& val) { - this->set(val); - return *this; - } - - /// Retrieve value from stack (large values e.g. vectors etc.) - template <typename TYPE> void Property::value(TYPE& val) const { - const PropertyGrammar& grm = grammar(); - if (grm.type() == typeid(TYPE)) - val = *(TYPE*) m_par; - else if (!BasicGrammar::instance< TYPE >().fromString(&val, this->str())) - PropertyGrammar::invalidConversion(grm.type(), typeid(TYPE)); - } - - /// Retrieve value - template <typename TYPE> TYPE Property::value() const { - TYPE temp; - this->value(temp); - return temp; - } - -} // End namespace dd4hep - -// Instantiate single property -#define DD4HEP_DEFINE_PROPERTY_TYPE(x) namespace dd4hep { \ - template x Property::value() const; \ - template void Property::value(x& value) const; \ - template void Property::set(const x& value); \ - template Property& Property::operator=(const x& value); \ - template void Property::make(x& value); } - -// Instantiate single property with support for STL containers -#define DD4HEP_DEFINE_PROPERTY_CONT(x) \ - DD4HEP_DEFINE_PROPERTY_TYPE(x) \ - DD4HEP_DEFINE_PROPERTY_TYPE(std::vector<x>) \ - DD4HEP_DEFINE_PROPERTY_TYPE(std::list<x>) \ - DD4HEP_DEFINE_PROPERTY_TYPE(std::set<x>) - -#if defined(DD4HEP_HAVE_ALL_PARSERS) -//// -//// Parser dictionaries get too large. Do not support unsigned stuff! -//// -// Instantiate single property with support for STL containers + same for unsigned -#define DD4HEP_DEFINE_PROPERTY_U_CONT(x) \ - DD4HEP_DEFINE_PROPERTY_CONT(x) \ - DD4HEP_DEFINE_PROPERTY_CONT(unsigned x) - -#else - -#define DD4HEP_DEFINE_PROPERTY_U_CONT(x) DD4HEP_DEFINE_PROPERTY_CONT(x) - -#endif // DD4HEP_HAVE_ALL_PARSERS -#endif // DD4HEP_DDG4_COMPONENTPROPERTIES_INL_H diff --git a/DDCore/include/DD4hep/detail/ConditionsInterna.h b/DDCore/include/DD4hep/detail/ConditionsInterna.h index c5764e2cb..8abbaa15d 100644 --- a/DDCore/include/DD4hep/detail/ConditionsInterna.h +++ b/DDCore/include/DD4hep/detail/ConditionsInterna.h @@ -24,9 +24,8 @@ // Framework include files #include "DD4hep/DetElement.h" #include "DD4hep/Conditions.h" -#include "DD4hep/BasicGrammar.h" +#include "DD4hep/Grammar.h" #include "DD4hep/NamedObject.h" -#include "DD4hep/detail/OpaqueData_inl.h" // C/C++ include files #include <map> @@ -117,76 +116,6 @@ namespace dd4hep { bool testFlag(Condition::mask_type option) const { return option == (flags&option);} }; - } /* End namespace detail */ - - /// Bind the data of the conditions object to a given format. - template <typename T> T& Condition::bind() { - Object* o = access(); - return o->data.bind<T>(o->value); - } - /// Bind the data of the conditions object to a given format. - template <typename T> T& Condition::bind(const std::string& val) { - Object* o = access(); - return o->data.bind<T>(val); - } - /// Generic getter. Specify the exact type, not a polymorph type - template <typename T> T& Condition::get() { - return access()->data.get<T>(); - } - /// Generic getter (const version). Specify the exact type, not a polymorph type - template <typename T> const T& Condition::get() const { - return access()->data.get<T>(); - } - -} /* End namespace dd4hep */ - -#define DD4HEP_DEFINE_CONDITIONS_TYPE(x) \ - DD4HEP_DEFINE_OPAQUEDATA_TYPE(x) \ - namespace dd4hep { \ - template x& Condition::bind<x>(const std::string& val); \ - template x& Condition::bind<x>(); \ - template x& Condition::get<x>(); \ - template const x& Condition::get<x>() const; \ - } - -#define DD4HEP_DEFINE_CONDITIONS_TYPE_DUMMY(x) \ - namespace dd4hep{namespace Parsers{int parse(x&, const std::string&){return 1;}}} \ - DD4HEP_DEFINE_CONDITIONS_TYPE(x) - -#define DD4HEP_DEFINE_EXTERNAL_CONDITIONS_TYPE(x) \ - namespace dd4hep { \ - template <> x& Condition::bind<x>(const std::string& val); \ - template <> x& Condition::bind<x>(); \ - template <> x& Condition::get<x>(); \ - template <> const x& Condition::get<x>() const; \ - } - -#if defined(DD4HEP_HAVE_ALL_PARSERS) -#define DD4HEP_DEFINE_CONDITIONS_CONT(x) \ - DD4HEP_DEFINE_CONDITIONS_TYPE(x) \ - DD4HEP_DEFINE_CONDITIONS_TYPE(std::vector<x>) \ - DD4HEP_DEFINE_CONDITIONS_TYPE(std::list<x>) \ - DD4HEP_DEFINE_CONDITIONS_TYPE(std::set<x>) \ - DD4HEP_DEFINE_CONDITIONS_TYPE(std::deque<x>) \ - DD4HEP_DEFINE_CONDITIONS_TYPE(dd4hep::detail::Primitive<x>::int_map_t) \ - DD4HEP_DEFINE_CONDITIONS_TYPE(dd4hep::detail::Primitive<x>::ulong_map_t) \ - DD4HEP_DEFINE_CONDITIONS_TYPE(dd4hep::detail::Primitive<x>::string_map_t) - -#define DD4HEP_DEFINE_CONDITIONS_U_CONT(x) \ - DD4HEP_DEFINE_CONDITIONS_CONT(x) \ - DD4HEP_DEFINE_CONDITIONS_CONT(unsigned x) - -#else - -#define DD4HEP_DEFINE_CONDITIONS_CONT(x) \ - DD4HEP_DEFINE_CONDITIONS_TYPE(x) \ - DD4HEP_DEFINE_CONDITIONS_TYPE(std::vector<x>) \ - DD4HEP_DEFINE_CONDITIONS_TYPE(std::list<x>) \ - DD4HEP_DEFINE_CONDITIONS_TYPE(std::set<x>) \ - DD4HEP_DEFINE_CONDITIONS_TYPE(dd4hep::detail::Primitive<x>::int_map_t) \ - DD4HEP_DEFINE_CONDITIONS_TYPE(dd4hep::detail::Primitive<x>::string_map_t) - -#define DD4HEP_DEFINE_CONDITIONS_U_CONT(x) DD4HEP_DEFINE_CONDITIONS_CONT(x) - -#endif // DD4HEP_HAVE_ALL_PARSERS -#endif /* DD4HEP_DDCORE_CONDITIONINTERNA_H */ + } /* End namespace detail */ +} /* End namespace dd4hep */ +#endif /* DD4HEP_DDCORE_CONDITIONINTERNA_H */ diff --git a/DDCore/include/DD4hep/detail/Grammar.h b/DDCore/include/DD4hep/detail/Grammar.h deleted file mode 100644 index a2b6f79ef..000000000 --- a/DDCore/include/DD4hep/detail/Grammar.h +++ /dev/null @@ -1,70 +0,0 @@ -//========================================================================== -// AIDA Detector description implementation -//-------------------------------------------------------------------------- -// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) -// All rights reserved. -// -// For the licensing terms see $DD4hepINSTALL/LICENSE. -// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. -// -// Author : M.Frank -// -//========================================================================== -// -// NOTE: -// -// This is an internal include file. It should only be included to -// instantiate code. Otherwise the BasicGrammar include file should be -// sufficient for all practical purposes. -// -//========================================================================== -#ifndef DD4HEP_DDCORE_DETAIL_GRAMMAR_H -#define DD4HEP_DDCORE_DETAIL_GRAMMAR_H - -// Framework include files -#include "DD4hep/BasicGrammar.h" - -/// Namespace for the AIDA detector description toolkit -namespace dd4hep { - - /// Concrete type dependent grammar definition - /** - * \author M.Frank - * \date 13.08.2013 - * \ingroup DD4HEP - */ - template <typename TYPE> class Grammar : public BasicGrammar { - private: - - friend class BasicGrammar; - /// Default destructor - virtual ~Grammar(); - /// Standard constructor - Grammar(); - - public: - - /** Base class overrides */ - /// PropertyGrammar overload: Access to the type information - virtual const std::type_info& type() const override; - /// Access to the type information - virtual bool equals(const std::type_info& other_type) const override; - /// Access the object size (sizeof operator) - virtual size_t sizeOf() const override; - /// PropertyGrammar overload: Serialize a property to a string - virtual std::string str(const void* ptr) const override; - /// PropertyGrammar overload: Retrieve value from string - virtual bool fromString(void* ptr, const std::string& value) const override; - /// Opaque object destructor - virtual void destruct(void* pointer) const override; - /// Opaque object copy construction. Memory must be allocated externally - virtual void copy(void* to, const void* from) const override; - /// Bind opaque address to object - virtual void bind(void* pointer) const override; - - /** Class member function */ - /// Evaluate string value if possible before calling boost::spirit - virtual int evaluate(void* ptr, const std::string& value) const; - }; -} -#endif /* DD4HEP_DDCORE_DETAIL_GRAMMAR_H */ diff --git a/DDCore/include/DD4hep/detail/BasicGrammar_inl.h b/DDCore/include/DD4hep/detail/Grammar_parsed.h similarity index 74% rename from DDCore/include/DD4hep/detail/BasicGrammar_inl.h rename to DDCore/include/DD4hep/detail/Grammar_parsed.h index 993ff83ab..0a02b79c2 100644 --- a/DDCore/include/DD4hep/detail/BasicGrammar_inl.h +++ b/DDCore/include/DD4hep/detail/Grammar_parsed.h @@ -18,16 +18,22 @@ // sufficient for all practical purposes. // //========================================================================== -#ifndef DD4HEP_DDCORE_BASICGRAMMAR_INL_H -#define DD4HEP_DDCORE_BASICGRAMMAR_INL_H +#ifndef DD4HEP_DDCORE_DETAIL_GRAMMAR_PARSED_H +#define DD4HEP_DDCORE_DETAIL_GRAMMAR_PARSED_H -// Framework include files -#include "DD4hep/config.h" -#include "DD4hep/Primitives.h" -#include "DD4hep/detail/Grammar.h" +/// Framework include files +#include "DD4hep/Grammar.h" #include "Evaluator/Evaluator.h" -#include "Parsers/spirit/Parsers.h" -#include "Parsers/spirit/ToStream.h" +#include "Parsers/Parsers.h" + +/// C/C++ include files +#include <string> +#include <sstream> +#include <vector> +#include <list> +#include <set> +#include <map> +#include <deque> #if defined(DD4HEP_PARSER_HEADER) @@ -40,51 +46,11 @@ namespace dd4hep { dd4hep::tools::Evaluator& g4Evaluator(); } namespace { static dd4hep::tools::Evaluator& s__eval(dd4hep::g4Evaluator()); } - -// C/C++ include files -#include <string> -#include <vector> -#include <list> -#include <set> -#include <map> -#include <deque> +// Forward declarations /// Namespace for the AIDA detector description toolkit namespace dd4hep { - /// Standarsd constructor - template <typename TYPE> Grammar<TYPE>::Grammar() : BasicGrammar(typeName(typeid(TYPE))) { - } - - /// Default destructor - template <typename TYPE> Grammar<TYPE>::~Grammar() { - } - - /// PropertyGrammar overload: Access to the type information - template <typename TYPE> const std::type_info& Grammar<TYPE>::type() const { - return typeid(TYPE); - } - - /// Access to the type information - template <typename TYPE> bool Grammar<TYPE>::equals(const std::type_info& other_type) const { - return other_type == typeid(TYPE); - } - - /// Access the object size (sizeof operator) - template <typename TYPE> size_t Grammar<TYPE>::sizeOf() const { - return sizeof(TYPE); - } - - /// Bind opaque address to object - template <typename TYPE> void Grammar<TYPE>::bind(void* pointer) const { - new(pointer) TYPE(); - } - - /// Evaluate string value if possible before calling boost::spirit - template <typename TYPE> int Grammar<TYPE>::evaluate(void*, const std::string&) const { - return 0; - } - /// PropertyGrammar overload: Retrieve value from string template <typename TYPE> bool Grammar<TYPE>::fromString(void* ptr, const std::string& string_val) const { int sc = 0; @@ -107,22 +73,10 @@ namespace dd4hep { /// Serialize a property to a string template <typename TYPE> std::string Grammar<TYPE>::str(const void* ptr) const { std::stringstream string_rep; - Utils::toStream(*(TYPE*)ptr,string_rep); + Parsers::toStream(*(TYPE*)ptr,string_rep); return string_rep.str(); } - /// Opaque object destructor - template <typename TYPE> void Grammar<TYPE>::destruct(void* pointer) const { - TYPE* obj = (TYPE*)pointer; - obj->~TYPE(); - } - - /// Opaque object destructor - template <typename TYPE> void Grammar<TYPE>::copy(void* to, const void* from) const { - const TYPE* from_obj = (const TYPE*)from; - new (to) TYPE(*from_obj); - } - /// Helper function to parse data type static inline std::string pre_parse_obj(const std::string& in) { std::string res = ""; @@ -268,44 +222,25 @@ namespace dd4hep { return BasicGrammar::instance<T>().fromString(ptr,pre_parse_obj(str)); } - /// User object evaluator - /// Do NOTHING version! Function present to formally satisfy code. User implementation required - template<typename T> inline int eval_none(T*, const std::string&) { - return 1; - } - template <typename T> inline int parse_none(T&, const std::string&) { - return 1; + /// Standarsd constructor + template <typename TYPE> const BasicGrammar& BasicGrammar::instance() { + static Grammar<TYPE> s_gr; + return s_gr; } - - // Containers of objects are not handled! - } // End namespace dd4hep -#define DD4HEP_PARSER_GRAMMAR_CNAME(serial,name) namespace_dd4hep__grammar_##serial##_##name -#define DD4HEP_DEFINE_PARSER_GRAMMAR_TYPE(x) \ - namespace dd4hep { \ - template<> const BasicGrammar& BasicGrammar::instance<x>() { static Grammar<x> gr; return gr;}} +#define DD4HEP_PARSER_GRAMMAR_CNAME(serial,name) namespace_dd4hep__grammar_##serial##_##name #define DD4HEP_DEFINE_PARSER_GRAMMAR_EVAL(x,func) \ - namespace dd4hep { \ - template<> int Grammar<x >::evaluate(void* ptr, const std::string& val) const { return func ((x*)ptr,val); }} + namespace dd4hep { template<> int Grammar<x>::evaluate(void* _p, const std::string& _v) const { return func ((x*)_p,_v); }} -#define DD4HEP_DEFINE_PARSER_GRAMMAR_INSTANCE(serial,x) namespace DD4HEP_PARSER_GRAMMAR_CNAME(serial,0) { \ - static const ::dd4hep::BasicGrammar& DD4HEP_PARSER_GRAMMAR_CNAME(serial,100) = ::dd4hep::BasicGrammar::instance<x>(); } +#define DD4HEP_DEFINE_PARSER_GRAMMAR_INSTANCE(serial,x) namespace dd4hep { template class Grammar< x >; } \ + namespace DD4HEP_PARSER_GRAMMAR_CNAME(serial,0) { static auto s_reg = ::dd4hep::GrammarRegistry::pre_note< x >(); } #define DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,ctxt,x,func) \ - DD4HEP_DEFINE_PARSER_GRAMMAR_TYPE(x) \ DD4HEP_DEFINE_PARSER_GRAMMAR_EVAL(x,func) \ DD4HEP_DEFINE_PARSER_GRAMMAR_INSTANCE(DD4HEP_PARSER_GRAMMAR_CNAME(serial,ctxt),x) -#define DD4HEP_DEFINE_PARSER_GRAMMAR_DUMMY_SERIAL(serial,x,func) \ - PARSERS_DECL_FOR_SINGLE(x) \ - namespace dd4hep { namespace Parsers { \ - int parse(x&, const std::string&) { return 1; } }} \ - DD4HEP_DEFINE_PARSER_GRAMMAR_TYPE(x) \ - DD4HEP_DEFINE_PARSER_GRAMMAR_EVAL(x,func) \ - DD4HEP_DEFINE_PARSER_GRAMMAR_INSTANCE(serial,x) - #if defined(DD4HEP_HAVE_ALL_PARSERS) #define DD4HEP_DEFINE_PARSER_GRAMMAR_CONT_SERIAL(serial,x,eval_func) \ DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,1,x,eval_func) \ @@ -313,10 +248,10 @@ namespace dd4hep { DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,3,std::list<x>, eval_container) \ DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,4,std::set<x>, eval_container) \ DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,5,std::deque<x>, eval_container) \ - DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,6,dd4hep::detail::Primitive<x>::int_map_t, eval_container) \ - DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,7,dd4hep::detail::Primitive<x>::ulong_map_t, eval_container) \ - DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,8,dd4hep::detail::Primitive<x>::string_map_t, eval_container) \ - DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,9,dd4hep::detail::Primitive<x>::int_pair_t, eval_pair) \ + DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,6,dd4hep::detail::Primitive<x>::int_map_t, eval_container) \ + DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,7,dd4hep::detail::Primitive<x>::ulong_map_t, eval_container) \ + DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,8,dd4hep::detail::Primitive<x>::string_map_t, eval_container) \ + DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,9,dd4hep::detail::Primitive<x>::int_pair_t, eval_pair) \ DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,10,dd4hep::detail::Primitive<x>::ulong_pair_t, eval_pair) \ DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,11,dd4hep::detail::Primitive<x>::string_pair_t, eval_pair) @@ -337,7 +272,7 @@ namespace dd4hep { DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,3,std::list<x>, eval_container) \ DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,4,std::set<x>, eval_container) \ DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,5,dd4hep::detail::Primitive<x>::int_map_t, eval_container) \ - DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,6,dd4hep::detail::Primitive<x>::string_map_t, eval_container) \ + DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,6,dd4hep::detail::Primitive<x>::string_map_t,eval_container) \ DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,7,dd4hep::detail::Primitive<x>::int_pair_t, eval_pair) \ DD4HEP_DEFINE_PARSER_GRAMMAR_SERIAL(serial,8,dd4hep::detail::Primitive<x>::string_pair_t, eval_pair) @@ -357,4 +292,4 @@ namespace dd4hep { #define DD4HEP_DEFINE_PARSER_GRAMMAR_CONT_VL(x,eval_func) DD4HEP_DEFINE_PARSER_GRAMMAR_CONT_VL_SERIAL(__LINE__x,eval_func) #define DD4HEP_DEFINE_PARSER_GRAMMAR_DUMMY(x,func) DD4HEP_DEFINE_PARSER_GRAMMAR_DUMMY_SERIAL(__LINE__,x,func) -#endif /* DD4HEP_DDCORE_BASICGRAMMAR_INL_H */ +#endif /* DD4HEP_DDCORE_DETAIL_GRAMMAR_PARSED_H */ diff --git a/DDCore/include/DD4hep/detail/Grammar_unparsed.h b/DDCore/include/DD4hep/detail/Grammar_unparsed.h new file mode 100644 index 000000000..c820a0920 --- /dev/null +++ b/DDCore/include/DD4hep/detail/Grammar_unparsed.h @@ -0,0 +1,47 @@ +//========================================================================== +// AIDA Detector description implementation +//-------------------------------------------------------------------------- +// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) +// All rights reserved. +// +// For the licensing terms see $DD4hepINSTALL/LICENSE. +// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. +// +// Author : M.Frank +// +//========================================================================== +// +// NOTE: +// +// This is an internal include file. It should only be included to +// instantiate code. Otherwise the BasicGrammar include file should be +// sufficient for all practical purposes. +// +//========================================================================== +#ifndef DD4HEP_DDCORE_DETAIL_GRAMMAR_UNPARSED_H +#define DD4HEP_DDCORE_DETAIL_GRAMMAR_UNPARSED_H + +// Framework include files +#include "DD4hep/Grammar.h" + +/// Namespace for the AIDA detector description toolkit +namespace dd4hep { + /// PropertyGrammar overload: Retrieve value from string + template <typename TYPE> bool Grammar<TYPE>::fromString(void* /*ptr*/, const std::string& /*val*/) const { + return true; + } + /// Serialize a property to a string + template <typename TYPE> std::string Grammar<TYPE>::str(const void* /*ptr*/) const { + return ""; + } + /// Evaluate string value if possible before calling boost::spirit + template <typename TYPE> int Grammar<TYPE>::evaluate(void*, const std::string&) const { + return 0; + } + /// Standarsd constructor + template <typename TYPE> const BasicGrammar& BasicGrammar::instance() { + static Grammar<TYPE> s_gr; + return s_gr; + } +} +#endif /* DD4HEP_DDCORE_DETAIL_GRAMMAR_UNPARSED_H */ diff --git a/DDCore/include/DD4hep/detail/OpaqueData_inl.h b/DDCore/include/DD4hep/detail/OpaqueData_inl.h deleted file mode 100644 index 21397a6f6..000000000 --- a/DDCore/include/DD4hep/detail/OpaqueData_inl.h +++ /dev/null @@ -1,84 +0,0 @@ -//========================================================================== -// AIDA Detector description implementation -//-------------------------------------------------------------------------- -// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) -// All rights reserved. -// -// For the licensing terms see $DD4hepINSTALL/LICENSE. -// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. -// -// Author : M.Frank -// -//========================================================================== -// -// NOTE: -// -// This is an internal include file. It should only be included to -// instantiate code. Otherwise the OpaqueData include file should be -// sufficient for all practical purposes. -// -//========================================================================== -#ifndef DD4HEP_OPAQUEDATA_INL_H -#define DD4HEP_OPAQUEDATA_INL_H - -// Framework include files -#include "DD4hep/Primitives.h" -#include "DD4hep/OpaqueData.h" -#include "DD4hep/BasicGrammar.h" - -/// Namespace for the AIDA detector description toolkit -namespace dd4hep { - - /// Generic getter. Specify the exact type, not a polymorph type - template <typename T> T& OpaqueData::get() { - if (!grammar || !grammar->equals(typeid(T))) { throw std::bad_cast(); } - return *(T*)pointer; - } - - /// Generic getter (const version). Specify the exact type, not a polymorph type - template <typename T> const T& OpaqueData::get() const { - if (!grammar || !grammar->equals(typeid(T))) { throw std::bad_cast(); } - return *(T*)pointer; - } - - /// Bind data value - template <typename T> T& OpaqueDataBlock::bind() { - this->bind(&BasicGrammar::instance<T>()); - return *(new(this->pointer) T()); - } - - /// Bind data value - template <typename T> T& OpaqueDataBlock::bind(void* ptr, size_t len) { - this->bind(ptr,len,&BasicGrammar::instance<T>()); - return *(new(this->pointer) T()); - } - - /// Bind grammar and assign value - template <typename T> T& OpaqueDataBlock::bind(const std::string& value) { - T& ret = this->bind<T>(); - if ( !value.empty() && !this->fromString(value) ) { - throw std::runtime_error("OpaqueDataBlock::set> Failed to bind type "+ - typeName(typeid(T))+" to condition data block."); - } - return ret; - } - - /// Bind grammar and assign value - template <typename T> T& OpaqueDataBlock::bind(void* ptr, size_t len, const std::string& value) { - T& ret = this->bind<T>(ptr, len); - if ( !value.empty() && !this->fromString(value) ) { - throw std::runtime_error("OpaqueDataBlock::set> Failed to bind type "+ - typeName(typeid(T))+" to condition data block."); - } - return ret; - } - -} /* End namespace dd4hep */ - -#define DD4HEP_DEFINE_OPAQUEDATA_TYPE(x) \ - namespace dd4hep { \ - template x& OpaqueDataBlock::bind<x>(); \ - template x& OpaqueDataBlock::bind<x>(const std::string& val); \ - } - -#endif /* DD4HEP_OPAQUEDATA_INL_H */ diff --git a/DDCore/include/Parsers/detail/Detector.h b/DDCore/include/Parsers/detail/Detector.h index 20132c70d..41b5008cb 100644 --- a/DDCore/include/Parsers/detail/Detector.h +++ b/DDCore/include/Parsers/detail/Detector.h @@ -57,6 +57,9 @@ namespace dd4hep { /// Create a shape using the plugin mechanism from an XML element TObject* createShape() const; + + /// Run a TObject constructor + TObject* runConstructor(const std::string& ctor_typ) const; }; /// XML Handle_t class extending the XML handle Dimension diff --git a/DDCore/include/Parsers/detail/Detector.imp b/DDCore/include/Parsers/detail/Detector.imp index 60b88176d..5242bb2dd 100644 --- a/DDCore/include/Parsers/detail/Detector.imp +++ b/DDCore/include/Parsers/detail/Detector.imp @@ -58,6 +58,22 @@ TObject* Component::createShape() const { return solid; } +TObject* Component::runConstructor(const std::string& ctor_typ) const { + using namespace dd4hep::detail; + Dimension child_dim(m_element); + std::string typ = child_dim.typeStr(); + std::string fac = typ + "__" + ctor_typ + "_constructor"; + Handle_t solid_elt = m_element; + Detector* description = 0; + TObject* solid = PluginService::Create<TObject*>(fac, description, &solid_elt); + if ( !solid ) { + PluginDebug dbg; + PluginService::Create<TObject*>(typ, description, &solid_elt); + throw std::runtime_error("Failed to create solid of type " + typ + ". " + dbg.missingFactory(typ)); + } + return solid; +} + int DetElement::id() const { return m_element.hasAttr(_U(id)) ? m_element.attr<int>(_U(id)) : -1; } diff --git a/DDCore/include/Parsers/detail/Dimension.h b/DDCore/include/Parsers/detail/Dimension.h index d0cc8d4cf..03b93ae6c 100644 --- a/DDCore/include/Parsers/detail/Dimension.h +++ b/DDCore/include/Parsers/detail/Dimension.h @@ -505,9 +505,13 @@ namespace dd4hep { double offset() const; /// Access attribute values: offset double offset(double default_value) const; + + /// Access attribute values: item + int item() const; + /// Access attribute values: items + int items() const; /// Access attribute values: number int number() const; - /// Access attribute values: nmodules int nmodules() const; /// Access attribute values: nsegments @@ -680,8 +684,12 @@ namespace dd4hep { Dimension staves(bool throw_if_not_present = true) const; /// Access child element with tag "beampipe" as Dimension object Dimension beampipe(bool throw_if_not_present = true) const; - /// Access child element with tag "beampipe" as Dimension object + /// Access child element with tag "envelope" as Dimension object Dimension envelope(bool throw_if_not_present = true) const; + /// Access child element with tag "shape" as Dimension object + Dimension shape(bool throw_if_not_present = true) const; + /// Access child element with tag "solid" as Dimension object + Dimension solid(bool throw_if_not_present = true) const; /// Access "name" attribute as STL string std::string nameStr() const; diff --git a/DDCore/include/Parsers/detail/Dimension.imp b/DDCore/include/Parsers/detail/Dimension.imp index 0e5f05ce2..ff40fdc74 100644 --- a/DDCore/include/Parsers/detail/Dimension.imp +++ b/DDCore/include/Parsers/detail/Dimension.imp @@ -168,6 +168,8 @@ XML_ATTR_ACCESSOR_DOUBLE(step_z) XML_ATTR_ACCESSOR(double, thickness) XML_ATTR_ACCESSOR(double, inner_stereo) XML_ATTR_ACCESSOR(double, outer_stereo) +XML_ATTR_ACCESSOR(int, item) +XML_ATTR_ACCESSOR(int, items) XML_ATTR_ACCESSOR(int, numsides) XML_ATTR_ACCESSOR(int, nsides) XML_ATTR_ACCESSOR(int, nsides_inner) @@ -225,6 +227,8 @@ XML_CHILD_ACCESSOR_XML_DIM(tubs) XML_CHILD_ACCESSOR_XML_DIM(staves) XML_CHILD_ACCESSOR_XML_DIM(envelope) XML_CHILD_ACCESSOR_XML_DIM(beampipe) +XML_CHILD_ACCESSOR_XML_DIM(shape) +XML_CHILD_ACCESSOR_XML_DIM(solid) std::string dd4hep::DD4HEP_DIMENSION_NS::Dimension::padType() const { return m_element.attr < std::string > (_U(pads)); diff --git a/DDCore/include/XML/UnicodeValues.h b/DDCore/include/XML/UnicodeValues.h index 3fee876d6..d9197b918 100644 --- a/DDCore/include/XML/UnicodeValues.h +++ b/DDCore/include/XML/UnicodeValues.h @@ -271,6 +271,7 @@ UNICODE (materials); UNICODE (matrices); UNICODE (matrix); UNICODE (member); +UNICODE (mesh); UNICODE (MeV); UNICODE (mm); UNICODE (model); diff --git a/DDCore/src/AlignmentData.cpp b/DDCore/src/AlignmentData.cpp index 25944ca67..bcc20e14b 100644 --- a/DDCore/src/AlignmentData.cpp +++ b/DDCore/src/AlignmentData.cpp @@ -229,24 +229,8 @@ Alignment AlignmentData::nominal() const { return detector.nominal(); } -// The map is used by the Alignments calculator -typedef std::map<DetElement, Delta> DeltaMap; - -// Have only a weak reference here! -inline ostream& operator << (ostream& s, const DetElement& ) { return s; } - -#include "Parsers/Parsers.h" -DD4HEP_DEFINE_PARSER_DUMMY(Delta) -DD4HEP_DEFINE_PARSER_DUMMY(DeltaMap) -DD4HEP_DEFINE_PARSER_DUMMY(AlignmentData) - -#include "DD4hep/detail/BasicGrammar_inl.h" -#include "DD4hep/detail/ConditionsInterna.h" -DD4HEP_DEFINE_PARSER_GRAMMAR(Delta,eval_none<Delta>) -DD4HEP_DEFINE_PARSER_GRAMMAR(DeltaMap,eval_none<DeltaMap>) -DD4HEP_DEFINE_PARSER_GRAMMAR(AlignmentData,eval_none<AlignmentData>) - -DD4HEP_DEFINE_CONDITIONS_TYPE(Delta) -DD4HEP_DEFINE_CONDITIONS_TYPE(DeltaMap) -DD4HEP_DEFINE_CONDITIONS_TYPE(AlignmentData) - +#include "DD4hep/detail/Grammar_unparsed.h" +// Ensure the grammars are registered and instantiated +static auto s_registry = GrammarRegistry::pre_note<Delta>() + .pre_note<AlignmentData>() + .pre_note<std::map<DetElement, Delta> >(); diff --git a/DDCore/src/AlignmentsCalculator.cpp b/DDCore/src/AlignmentsCalculator.cpp index b186591ea..bc93b0fe1 100644 --- a/DDCore/src/AlignmentsCalculator.cpp +++ b/DDCore/src/AlignmentsCalculator.cpp @@ -323,14 +323,6 @@ size_t AlignmentsCalculator::extract_deltas(DetElement start, return deltas.size(); } -// The map is used by the Alignments calculator -typedef AlignmentsCalculator::OrderedDeltas OrderedMap; -// Have only a weak reference here! -inline std::ostream& operator << (std::ostream& s, const DetElement& ) { return s; } - -#include "Parsers/Parsers.h" -DD4HEP_DEFINE_PARSER_DUMMY(OrderedMap) -#include "DD4hep/detail/BasicGrammar_inl.h" -#include "DD4hep/detail/ConditionsInterna.h" -DD4HEP_DEFINE_PARSER_GRAMMAR(OrderedMap,eval_none<OrderedMap>) -DD4HEP_DEFINE_CONDITIONS_TYPE(OrderedMap) +#include "DD4hep/detail/Grammar_unparsed.h" +// Ensure the grammars are registered and instantiated +static auto s_registry = GrammarRegistry::pre_note<AlignmentsCalculator::OrderedDeltas>(); diff --git a/DDCore/src/AlignmentsInterna.cpp b/DDCore/src/AlignmentsInterna.cpp index 6f777e159..933157a4b 100644 --- a/DDCore/src/AlignmentsInterna.cpp +++ b/DDCore/src/AlignmentsInterna.cpp @@ -37,7 +37,7 @@ AlignmentObject::AlignmentObject() { InstanceCount::increment(this); flags = Condition::ALIGNMENT_DERIVED; - AlignmentData& d = data.bind<AlignmentData>(); + AlignmentData& d = data.construct<AlignmentData>(); alignment_data = &d; } @@ -67,19 +67,7 @@ void AlignmentObject::clear() { flags = Condition::ALIGNMENT_DERIVED; } - -#include "Parsers/Parsers.h" -DD4HEP_DEFINE_PARSER_DUMMY(AlignmentObject) - -#include "DD4hep/detail/BasicGrammar_inl.h" -#include "DD4hep/detail/ConditionsInterna.h" +#include "DD4hep/detail/Grammar_unparsed.h" namespace dd4hep { - template <> bool Grammar<AlignmentObject>::fromString(void*, const std::string&) const {return true;} - template <> void Grammar<AlignmentObject>::copy(void*, const void*) const {} - namespace Utils { - template <> std::ostream& toStream(const AlignmentObject&, std::ostream& s) { return s; } - } + //template const BasicGrammar& BasicGrammar::instance<AlignmentObject>(); } -DD4HEP_DEFINE_PARSER_GRAMMAR(AlignmentObject,eval_none<AlignmentObject>) -DD4HEP_DEFINE_CONDITIONS_TYPE(AlignmentObject) - diff --git a/DDCore/src/AlignmentsPrinter.cpp b/DDCore/src/AlignmentsPrinter.cpp index 6808a167e..1aa84cdef 100644 --- a/DDCore/src/AlignmentsPrinter.cpp +++ b/DDCore/src/AlignmentsPrinter.cpp @@ -12,6 +12,7 @@ //========================================================================== // Framework includes +#include "Parsers/Parsers.h" #include "DD4hep/Printout.h" #include "DD4hep/AlignmentsPrinter.h" #include "DD4hep/AlignmentsProcessor.h" @@ -20,7 +21,6 @@ // C/C++ include files #include <sstream> #include "TClass.h" -#include "Parsers/spirit/ToStream.h" using namespace std; using namespace dd4hep; @@ -149,20 +149,20 @@ void dd4hep::align::printAlignment(PrintLevel lvl, const string& prefix, } if ( align_delta.hasTranslation() ) { stringstream str; - Utils::toStream(align_delta.translation, str); + Parsers::toStream(align_delta.translation, str); printout(lvl,tag,"++ %s DELTA Translation: %s", opt.c_str(), replace_all(str.str(),"\n","").c_str()); } if ( align_delta.hasPivot() ) { stringstream str; - Utils::toStream(align_delta.pivot, str); + Parsers::toStream(align_delta.pivot, str); string res = replace_all(str.str(),"\n",""); res = "( "+replace_all(res," "," , ")+" )"; printout(lvl,tag,"++ %s DELTA Pivot: %s", opt.c_str(), res.c_str()); } if ( align_delta.hasRotation() ) { stringstream str; - Utils::toStream(align_delta.rotation, str); + Parsers::toStream(align_delta.rotation, str); printout(lvl,tag,"++ %s DELTA Rotation: %s", opt.c_str(), replace_all(str.str(),"\n","").c_str()); } if ( isActivePrintLevel(lvl) ) { diff --git a/DDCore/src/ComponentProperties.cpp b/DDCore/src/ComponentProperties.cpp index d3eeb6d3f..16ff9c98c 100644 --- a/DDCore/src/ComponentProperties.cpp +++ b/DDCore/src/ComponentProperties.cpp @@ -14,7 +14,7 @@ // Framework include files #include "DD4hep/Printout.h" #include "DD4hep/Primitives.h" -#include "DD4hep/BasicGrammar.h" +#include "Parsers/Parsers.h" #include "DD4hep/ComponentProperties.h" // C/C++ include files @@ -229,65 +229,22 @@ Property& PropertyConfigurable::property(const string& nam) { return properties()[nam]; } +#include "DD4hep/detail/Grammar_parsed.h" namespace dd4hep { namespace Parsers { - int parse(Property& result, const std::string& input) { + template <> int parse(Property& result, const std::string& input) { result.str(input); return 1; } - } - namespace Utils { - std::ostream& toStream(const Property& result, std::ostream& os) { + template <> std::ostream& toStream(const Property& result, std::ostream& os) { return os << result.str(); } } + template<> int Grammar<Property>::evaluate(void* _p, const std::string& _v) const { + return eval_obj ((Property*)_p,_v); + } + // Ensure the grammars are registered + template class Grammar<Property>; + static auto s_registry = GrammarRegistry::pre_note<Property>(); } -#include <vector> -#include <list> -#include <set> -#include <map> - -#include "DD4hep/detail/BasicGrammar_inl.h" -#include "DD4hep/detail/ComponentProperties_inl.h" -DD4HEP_DEFINE_PARSER_GRAMMAR_TYPE(Property) - -namespace dd4hep { - - template Property Property::value() const; - template void Property::value(Property& value) const; - template void Property::set(const Property& value); - template void Property::make(Property& value); -} - -#if defined(DD4HEP_HAVE_ALL_PARSERS) -DD4HEP_DEFINE_PROPERTY_U_CONT(char) -DD4HEP_DEFINE_PROPERTY_U_CONT(short) -DD4HEP_DEFINE_PROPERTY_U_CONT(long long) -#endif // DD4HEP_HAVE_ALL_PARSERS - -DD4HEP_DEFINE_PROPERTY_CONT(bool) -DD4HEP_DEFINE_PROPERTY_U_CONT(int) -DD4HEP_DEFINE_PROPERTY_U_CONT(long) -DD4HEP_DEFINE_PROPERTY_CONT(float) -DD4HEP_DEFINE_PROPERTY_CONT(double) - -// STL objects -DD4HEP_DEFINE_PROPERTY_CONT(string) - -typedef map<string, int> map_string_int; -DD4HEP_DEFINE_PROPERTY_TYPE(map_string_int) - -typedef map<string, string> map_string_string; -DD4HEP_DEFINE_PROPERTY_TYPE(map_string_string) - -#ifndef DD4HEP_PARSERS_NO_ROOT -#include "Math/Point3D.h" -#include "Math/Vector3D.h" -#include "Math/Vector4D.h" - -// ROOT::Math Object instances -DD4HEP_DEFINE_PROPERTY_TYPE(ROOT::Math::XYZPoint) -DD4HEP_DEFINE_PROPERTY_TYPE(ROOT::Math::XYZVector) -DD4HEP_DEFINE_PROPERTY_TYPE(ROOT::Math::PxPyPzEVector) -#endif diff --git a/DDCore/src/Conditions.cpp b/DDCore/src/Conditions.cpp index 15a457e9e..47c3fac83 100644 --- a/DDCore/src/Conditions.cpp +++ b/DDCore/src/Conditions.cpp @@ -96,7 +96,7 @@ int Condition::dataType() const { } /// Access the IOV block -dd4hep::OpaqueData& Condition::data() const { +dd4hep::OpaqueDataBlock& Condition::data() const { return access()->data; } @@ -184,24 +184,6 @@ const dd4hep::BasicGrammar& Condition::descriptor() const { return *g; } -/// Re-evaluate the conditions data according to the previous bound type definition -Condition& Condition::rebind() { - Object* o = access(); -#if 0 - const IOV* i = o->iov; - const IOVType* t = i->iovType; - i->fromString(o->validity); - if ( t != i->iovType ) { - except("Condition","Rebinding condition with different IOV types [%d <> %d] is not allowed!", - t ? t->type : -1, i->iovType ? i->iovType->type : -1); - } -#endif - o->data.fromString(o->value); - printout(INFO,"Condition","+++ condition:%s rebinding value:%s", - name(), o->value.c_str()); - return *this; -} - /// Default destructor. ConditionsSelect::~ConditionsSelect() { } diff --git a/DDCore/src/ConditionsData.cpp b/DDCore/src/ConditionsData.cpp index 6742827ed..ebabba8bc 100644 --- a/DDCore/src/ConditionsData.cpp +++ b/DDCore/src/ConditionsData.cpp @@ -15,7 +15,6 @@ #include "DD4hep/Printout.h" #include "DD4hep/InstanceCount.h" #include "DD4hep/ConditionsData.h" -#include <sstream> using namespace dd4hep::cond; @@ -39,7 +38,7 @@ std::ostream& operator << (std::ostream& s, const AbstractMap& data) { } }; if ( !data.params.empty() ) { - for_each(data.params.begin(), data.params.end(),_Print()); + for_each(data.params.begin(), data.params.end(), _Print()); } return s; } @@ -48,6 +47,11 @@ std::ostream& operator << (std::ostream& s, const AbstractMap& data) { ClientData::~ClientData() { } +/// Default constructor +AbstractMap::AbstractMap() : clientData(0), classID(0) { + InstanceCount::increment(this); +} + /// Copy constructor AbstractMap::AbstractMap(const AbstractMap& c) : clientData(c.clientData), params(c.params), classID(c.classID) @@ -55,11 +59,6 @@ AbstractMap::AbstractMap(const AbstractMap& c) InstanceCount::increment(this); } -/// Default constructor -AbstractMap::AbstractMap() : clientData(0), classID(0) { - InstanceCount::increment(this); -} - /// Default destructor AbstractMap::~AbstractMap() { if ( clientData ) clientData->release(); @@ -77,9 +76,6 @@ AbstractMap& AbstractMap::operator=(const AbstractMap& c) { return *this; } -#include "Parsers/Parsers.h" -DD4HEP_DEFINE_PARSER_DUMMY(AbstractMap) -#include "DD4hep/detail/BasicGrammar_inl.h" -#include "DD4hep/detail/ConditionsInterna.h" -DD4HEP_DEFINE_PARSER_GRAMMAR(AbstractMap,eval_none<AbstractMap>) -DD4HEP_DEFINE_CONDITIONS_TYPE(AbstractMap) +#include "DD4hep/detail/Grammar_unparsed.h" +// Ensure the grammars are registered and instantiated +static auto s_registry = dd4hep::GrammarRegistry::pre_note<AbstractMap>(); diff --git a/DDCore/src/ConditionsPrinter.cpp b/DDCore/src/ConditionsPrinter.cpp index 44497d826..2f54e415b 100644 --- a/DDCore/src/ConditionsPrinter.cpp +++ b/DDCore/src/ConditionsPrinter.cpp @@ -12,12 +12,14 @@ //========================================================================== // Framework includes -#include "Parsers/spirit/ToStream.h" +#include "Parsers/Parsers.h" #include "DD4hep/Printout.h" #include "DD4hep/ConditionsData.h" #include "DD4hep/ConditionsPrinter.h" #include "DD4hep/ConditionsProcessor.h" +#include "DD4hep/detail/ConditionsInterna.h" + // C/C++ include files #include <sstream> @@ -177,12 +179,12 @@ int ConditionsPrinter::operator()(Condition cond) const { string piv; stringstream str_tr, str_rot, str_piv; const Delta& D = cond.get<Delta>(); - if ( D.hasTranslation() ) Utils::toStream(D.translation, str_tr); - if ( D.hasRotation() ) Utils::toStream(D.rotation, str_rot); + if ( D.hasTranslation() ) Parsers::toStream(D.translation, str_tr); + if ( D.hasRotation() ) Parsers::toStream(D.rotation, str_rot); if ( D.hasPivot() ) { - Utils::toStream(D.pivot, str_piv); + Parsers::toStream(D.pivot, str_piv); piv = str_replace(str_piv.str(),"\n",""); - piv = "( "+str_replace(piv," "," , ")+" )"; + piv = str_replace(piv," "," , "); } printout(printLevel,name,"++ %s \t[%p] Typ:%s", prefix.c_str(), cond.ptr(), @@ -190,7 +192,7 @@ int ConditionsPrinter::operator()(Condition cond) const { printout(printLevel,name,"++ %s \tData(%11s-%8s-%5s): [%s, %s, %s]", prefix.c_str(), D.hasTranslation() ? "Translation" : "", - D.hasRotation() ? "Rotation" : "", + D.hasRotation() ? "Rotation(Phi,Theta,Psi)" : "", D.hasPivot() ? "Pivot" : "", str_replace(str_tr.str(),"\n","").c_str(), str_replace(str_rot.str(),"\n","").c_str(), @@ -201,12 +203,12 @@ int ConditionsPrinter::operator()(Condition cond) const { string piv; stringstream str_tr, str_rot, str_piv; const Delta& D = cond.get<AlignmentData>().delta; - if ( D.hasTranslation() ) Utils::toStream(D.translation, str_tr); - if ( D.hasRotation() ) Utils::toStream(D.rotation, str_rot); + if ( D.hasTranslation() ) Parsers::toStream(D.translation, str_tr); + if ( D.hasRotation() ) Parsers::toStream(D.rotation, str_rot); if ( D.hasPivot() ) { - Utils::toStream(D.pivot, str_piv); + Parsers::toStream(D.pivot, str_piv); piv = str_replace(str_piv.str(),"\n",""); - piv = "( "+str_replace(piv," "," , ")+" )"; + piv = str_replace(piv," "," , "); } printout(printLevel,name,"++ %s \t[%p] Typ:%s", @@ -215,7 +217,7 @@ int ConditionsPrinter::operator()(Condition cond) const { printout(printLevel,name,"++ %s \tData(%11s-%8s-%5s): [%s, %s, %s]", prefix.c_str(), D.hasTranslation() ? "Translation" : "", - D.hasRotation() ? "Rotation" : "", + D.hasRotation() ? "Rotation(Phi,Theta,Psi)" : "", D.hasPivot() ? "Pivot" : "", str_replace(str_tr.str(),"\n","").c_str(), str_replace(str_rot.str(),"\n","").c_str(), diff --git a/DDCore/src/ConditonsTypes.cpp b/DDCore/src/ConditonsTypes.cpp deleted file mode 100644 index 9187fe96e..000000000 --- a/DDCore/src/ConditonsTypes.cpp +++ /dev/null @@ -1,48 +0,0 @@ -//========================================================================== -// AIDA Detector description implementation -//-------------------------------------------------------------------------- -// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) -// All rights reserved. -// -// For the licensing terms see $DD4hepINSTALL/LICENSE. -// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. -// -// Author : M.Frank -// -//========================================================================== - -// Framework include files -#include "DD4hep/Primitives.h" -#include "DD4hep/detail/ConditionsInterna.h" -#include "DD4hep/detail/ComponentProperties_inl.h" - -#include "Math/Point3D.h" -#include "Math/Vector3D.h" -#include "Math/Vector4D.h" - -// C/C++ include files -#include <string> -#include <vector> -#include <list> -#include <set> -#include <map> -#include <deque> - -#if defined(DD4HEP_HAVE_ALL_PARSERS) -DD4HEP_DEFINE_CONDITIONS_U_CONT(char) -DD4HEP_DEFINE_CONDITIONS_U_CONT(short) -DD4HEP_DEFINE_CONDITIONS_U_CONT(long long) -#endif // DD4HEP_HAVE_ALL_PARSERS - -DD4HEP_DEFINE_CONDITIONS_U_CONT(int) -DD4HEP_DEFINE_CONDITIONS_U_CONT(long) - -DD4HEP_DEFINE_CONDITIONS_CONT(bool) -DD4HEP_DEFINE_CONDITIONS_CONT(float) -DD4HEP_DEFINE_CONDITIONS_CONT(double) -DD4HEP_DEFINE_CONDITIONS_CONT(std::string) - -// ROOT::Math Object instances -DD4HEP_DEFINE_CONDITIONS_CONT(ROOT::Math::XYZPoint) -DD4HEP_DEFINE_CONDITIONS_CONT(ROOT::Math::XYZVector) -DD4HEP_DEFINE_CONDITIONS_CONT(ROOT::Math::PxPyPzEVector) diff --git a/DDCore/src/DetectorData.cpp b/DDCore/src/DetectorData.cpp index 0f9958579..0b40f491b 100644 --- a/DDCore/src/DetectorData.cpp +++ b/DDCore/src/DetectorData.cpp @@ -12,7 +12,7 @@ //========================================================================== // Framework include files -#include "DD4hep/BasicGrammar.h" +#include "DD4hep/Grammar.h" #include "DD4hep/DetectorData.h" #include "DD4hep/InstanceCount.h" #include "DD4hep/detail/ObjectsInterna.h" diff --git a/DDCore/src/BasicGrammar.cpp b/DDCore/src/Grammar.cpp similarity index 62% rename from DDCore/src/BasicGrammar.cpp rename to DDCore/src/Grammar.cpp index 431aa0565..218fbd2fe 100644 --- a/DDCore/src/BasicGrammar.cpp +++ b/DDCore/src/Grammar.cpp @@ -15,8 +15,7 @@ #include "DD4hep/Printout.h" #include "DD4hep/Primitives.h" #include "DD4hep/Exceptions.h" -#include "DD4hep/BasicGrammar.h" -#include "DD4hep/detail/Grammar.h" +#include "DD4hep/Grammar.h" // ROOT include files #include "TDataType.h" @@ -30,21 +29,24 @@ namespace { std::mutex s_mutex; - + + typedef const dd4hep::BasicGrammar& (*grammar_create_t)(); // This static object needs to be in function to trick out static constructors populating this registry.... - static std::map<dd4hep::BasicGrammar::key_type, dd4hep::BasicGrammar*>& registry() { + static std::map<dd4hep::BasicGrammar::key_type, dd4hep::BasicGrammar*>& active_registry() { static std::map<dd4hep::BasicGrammar::key_type, dd4hep::BasicGrammar*> s_registry; return s_registry; } + static std::map<dd4hep::BasicGrammar::key_type, grammar_create_t>& prenote_registry() { + static std::map<dd4hep::BasicGrammar::key_type, grammar_create_t> s_registry; + return s_registry; + } } /// Default constructor dd4hep::BasicGrammar::BasicGrammar(const std::string& typ) : name(typ), hash_value(dd4hep::detail::hash64(typ)) { - if ( !registry().emplace(hash_value,this).second ) { - // Error: Already existing grammar. - dd4hep::except("BasicGrammar","FAILED to add existent registry: %s [%016llX]",name.c_str(), hash_value); + if ( !active_registry().emplace(hash_value,this).second ) { } } @@ -52,6 +54,41 @@ dd4hep::BasicGrammar::BasicGrammar(const std::string& typ) dd4hep::BasicGrammar::~BasicGrammar() { } +void dd4hep::BasicGrammar::pre_note(const std::type_info& info, const BasicGrammar& (*fcn)()) { + key_type hash = dd4hep::detail::hash64(typeName(info)); + if ( !prenote_registry().emplace(hash,fcn).second ) { + // Error: Already existing grammar. + dd4hep::except("BasicGrammar","FAILED to add existent registry: %s [%016llX]", + typeName(info).c_str(), hash); + } +} + +/// Lookup existing grammar using hash code (reading objects) +const dd4hep::BasicGrammar& dd4hep::BasicGrammar::get(key_type hash) { + auto i = active_registry().find(hash); + if ( i != active_registry().end() ) + return *((*i).second); + auto j = prenote_registry().find(hash); + if ( j != prenote_registry().end() ) + return ((*j).second)(); + dd4hep::except("BasicGrammar","FAILED to look up non existent registry: %016llX",hash); + throw "Error"; // Not reachable anyhow. Simply to please the compiler! +} + +/// Lookup existing grammar using hash code (reading objects) +const dd4hep::BasicGrammar& dd4hep::BasicGrammar::get(const std::type_info& info) { + key_type hash = dd4hep::detail::hash64(typeName(info)); + auto i = active_registry().find(hash); + if ( i != active_registry().end() ) + return *((*i).second); + auto j = prenote_registry().find(hash); + if ( j != prenote_registry().end() ) + return ((*j).second)(); + dd4hep::except("BasicGrammar","FAILED to look up non existent registry: %016llX [%s]", + hash, typeName(info).c_str()); + throw "Error"; // Not reachable anyhow. Simply to please the compiler! +} + /// Second step initialization after the virtual table is fixed void dd4hep::BasicGrammar::initialize() const { std::lock_guard<std::mutex> lock(s_mutex); @@ -84,14 +121,6 @@ TClass* dd4hep::BasicGrammar::initialized_clazz() const { return root_class; } -/// Lookup existing grammar using hash code (reading objects) -const dd4hep::BasicGrammar& dd4hep::BasicGrammar::get(key_type hash_code) { - auto i = registry().find(hash_code); - if ( i != registry().end() ) return *((*i).second); - dd4hep::except("BasicGrammar","FAILED to look up non existent registry: %016llX",hash_code); - throw "Error"; // Not reachable anyhow. Simply to please the compiler! -} - /// Error callback on invalid conversion void dd4hep::BasicGrammar::invalidConversion(const std::string& value, const std::type_info& to) { std::string to_name = typeName(to); @@ -109,44 +138,8 @@ void dd4hep::BasicGrammar::invalidConversion(const std::type_info& from, const s "' to '" + to_name + "' is not implemented."); } -/// Standard constructor -dd4hep::SimpleGrammar::SimpleGrammar(size_t siz, const std::type_info& typ) - : BasicGrammar(dd4hep::typeName(typ)), object_size(siz), object_type(typ) -{ -} - -/// Default destructor -dd4hep::SimpleGrammar::~SimpleGrammar() { -} - -/// PropertyGrammar overload: Serialize a property to a string -std::string dd4hep::SimpleGrammar::str(const void* /* ptr */) const { - dd4hep::except("SimpleGrammar","+++ The string representation str() is not implemented for grammar type %s", - this->type_name().c_str()); - return ""; -} - -/// PropertyGrammar overload: Retrieve value from string -bool dd4hep::SimpleGrammar::fromString(void* /* ptr */, const std::string& /* value */) const { - dd4hep::except("SimpleGrammar","+++ The data parsing from string is not implemented for grammar type %s", - this->type_name().c_str()); - return false; -} - -/// Opaque object destructor -void dd4hep::SimpleGrammar::destruct(void* /* pointer */) const { - dd4hep::except("SimpleGrammar","+++ Object destruction is not implemented for grammar type %s", - this->type_name().c_str()); -} - -/// Opaque object copy construction. Memory must be allocated externally -void dd4hep::SimpleGrammar::copy(void* /* to */, const void* /* from */) const { - dd4hep::except("SimpleGrammar","+++ Object copy is not implemented for grammar type %s", - this->type_name().c_str()); -} - -/// Bind opaque address to object -void dd4hep::SimpleGrammar::bind(void* /* pointer */) const { - dd4hep::except("SimpleGrammar","+++ Object destruction is not implemented for grammar type %s", - this->type_name().c_str()); +/// Registry instance singleton +const dd4hep::GrammarRegistry& dd4hep::GrammarRegistry::instance() { + static GrammarRegistry s_reg; + return s_reg; } diff --git a/DDCore/src/BasicGrammarTypes.cpp b/DDCore/src/GrammarTypes.cpp similarity index 94% rename from DDCore/src/BasicGrammarTypes.cpp rename to DDCore/src/GrammarTypes.cpp index 079fef922..a6e769346 100644 --- a/DDCore/src/BasicGrammarTypes.cpp +++ b/DDCore/src/GrammarTypes.cpp @@ -12,7 +12,8 @@ //========================================================================== // Framework include files -#include "DD4hep/detail/BasicGrammar_inl.h" +#include "DD4hep/Objects.h" +#include "DD4hep/detail/Grammar_parsed.h" #ifndef DD4HEP_PARSERS_NO_ROOT DD4HEP_DEFINE_PARSER_GRAMMAR_CONT(ROOT::Math::XYZPoint,eval_obj) diff --git a/DDCore/src/OpaqueData.cpp b/DDCore/src/OpaqueData.cpp index 992b9f8c3..4dd2b4347 100644 --- a/DDCore/src/OpaqueData.cpp +++ b/DDCore/src/OpaqueData.cpp @@ -16,7 +16,6 @@ #include "DD4hep/Primitives.h" #include "DD4hep/OpaqueData.h" #include "DD4hep/InstanceCount.h" -#include "DD4hep/detail/OpaqueData_inl.h" // C/C++ header files #include <cstring> @@ -112,19 +111,6 @@ OpaqueDataBlock& OpaqueDataBlock::operator=(const OpaqueDataBlock& c) { return *this; } -/// Move the data content: 'from' will be reset to NULL -bool OpaqueDataBlock::move(OpaqueDataBlock& from) { - pointer = from.pointer; - grammar = from.grammar; - ::memcpy(data,from.data,sizeof(data)); - type = from.type; - ::memset(from.data,0,sizeof(data)); - from.type = PLAIN_DATA; - from.pointer = 0; - from.grammar = 0; - return true; -} - /// Bind data value void* OpaqueDataBlock::bind(const BasicGrammar* g) { if ( (type&EXTERN_DATA) == EXTERN_DATA ) { @@ -172,40 +158,6 @@ void* OpaqueDataBlock::bind(void* ptr, size_t size, const BasicGrammar* g) { return 0; } -/// Bind external data value to the pointer -void OpaqueDataBlock::bindExtern(void* ptr, const BasicGrammar* gr) { - if ( grammar != 0 && type != EXTERN_DATA ) { - // We cannot ingore secondary requests for data bindings. - // This leads to memory leaks in the caller! - except("OpaqueData","You may not bind opaque data multiple times!"); - } - pointer = ptr; - grammar = gr; - type = EXTERN_DATA; -} - -/// Set data value -void OpaqueDataBlock::assign(const void* ptr, const type_info& typ) { - if ( !grammar ) { - except("OpaqueData","Opaque data block is unbound. Cannot copy data."); - } - else if ( grammar->type() != typ ) { - except("OpaqueData","Bad data binding binding"); - } - grammar->copy(pointer,ptr); -} - -/// print Conditions object -std::ostream& operator << (std::ostream& s, const OpaqueDataBlock& data) { - s << data.str(); - return s; -} - -#include "Parsers/Parsers.h" -DD4HEP_DEFINE_PARSER_DUMMY(OpaqueDataBlock) - -#include "DD4hep/detail/BasicGrammar_inl.h" -#include "DD4hep/detail/ConditionsInterna.h" -DD4HEP_DEFINE_PARSER_GRAMMAR(OpaqueDataBlock,eval_none<OpaqueDataBlock>) -DD4HEP_DEFINE_CONDITIONS_TYPE(OpaqueDataBlock) - +#include "DD4hep/detail/Grammar_unparsed.h" +// Ensure the grammars are registered and instantiated +static auto s_registry = GrammarRegistry::pre_note<OpaqueDataBlock>(); diff --git a/DDCore/src/OpaqueDataBinder.cpp b/DDCore/src/OpaqueDataBinder.cpp index 7d30173f5..4f22152fb 100644 --- a/DDCore/src/OpaqueDataBinder.cpp +++ b/DDCore/src/OpaqueDataBinder.cpp @@ -14,7 +14,6 @@ // Framework include files #include "DD4hep/OpaqueDataBinder.h" #include "DD4hep/Conditions.h" -#include "DD4hep/detail/OpaqueData_inl.h" #include "DD4hep/detail/ConditionsInterna.h" // C/C++ include files diff --git a/DDCore/src/RootDictionary.h b/DDCore/src/RootDictionary.h index 0fd6bfd36..b9ece7b3e 100644 --- a/DDCore/src/RootDictionary.h +++ b/DDCore/src/RootDictionary.h @@ -20,7 +20,7 @@ #include "Evaluator/Evaluator.h" #include "DD4hep/DD4hepRootPersistency.h" #include "DD4hep/Printout.h" -#include "DD4hep/detail/Grammar.h" +#include "DD4hep/Grammar.h" #include "DD4hep/detail/ObjectsInterna.h" #include "DD4hep/detail/DetectorInterna.h" #include "DD4hep/detail/ConditionsInterna.h" diff --git a/DDCore/src/plugins/ShapePlugins.cpp b/DDCore/src/plugins/ShapePlugins.cpp index 76c3fabfb..e9427fce0 100644 --- a/DDCore/src/plugins/ShapePlugins.cpp +++ b/DDCore/src/plugins/ShapePlugins.cpp @@ -565,11 +565,20 @@ static Ref_t create_shape(Detector& description, xml_h e, Ref_t /* sens */) { xml_dim_t pos (x_check.child(_U(position), false)); xml_dim_t rot (x_check.child(_U(rotation), false)); bool reflect = x_check.hasChild(_U(reflect)); - Solid solid (shape.createShape()); - Volume volume (name+_toString(count,"_vol_%d"),solid, description.air()); + Solid solid; + Volume volume; + string shape_type = shape.typeStr(); + if ( shape_type == "CAD_MultiShape" ) { + volume = xml::createVolume(description, shape_type, shape); + solid = volume->GetShape(); + } + else { + solid = xml::createShape(description, shape_type, shape); + volume = Volume(name+_toString(count,"_vol_%d"),solid, description.air()); + } volume.setVisAttributes(description, x_check.visStr()); - solid->SetName(shape.typeStr().c_str()); + solid->SetName(shape_type.c_str()); if ( pos.ptr() && rot.ptr() ) { Rotation3D rot3D(RotationZYX(rot.z(0),rot.y(0),rot.x(0))); @@ -597,7 +606,7 @@ static Ref_t create_shape(Detector& description, xml_h e, Ref_t /* sens */) { } printout(INFO,"TestShape","Created successfull shape of type: %s", - shape.typeStr().c_str()); + shape_type.c_str()); bool instance_test = false; if ( 0 == strcasecmp(solid->GetTitle(),BOX_TAG) ) instance_test = isInstance<Box>(solid); @@ -632,8 +641,10 @@ static Ref_t create_shape(Detector& description, xml_h e, Ref_t /* sens */) { else if ( 0 == strcasecmp(solid->GetTitle(),EXTRUDEDPOLYGON_TAG) ) instance_test = isInstance<ExtrudedPolygon>(solid); #if ROOT_VERSION_CODE > ROOT_VERSION(6,21,0) - else if ( 0 == strcasecmp(solid->GetTitle(),TESSELLATEDSOLID_TAG) ) + else if ( 0 == strcasecmp(solid->GetTitle(),TESSELLATEDSOLID_TAG) ) { instance_test = isInstance<TessellatedSolid>(solid); + shape_type = TESSELLATEDSOLID_TAG; + } #endif else if ( 0 == strcasecmp(solid->GetTitle(),POLYCONE_TAG) ) instance_test = isInstance<Polycone>(solid); @@ -698,14 +709,14 @@ static Ref_t create_shape(Detector& description, xml_h e, Ref_t /* sens */) { instance_test &= !isA<SubtractionSolid>(solid); } - if ( !instance_test || ::strcasecmp(shape.typeStr().c_str(),solid->GetTitle()) != 0 ) { + if ( !instance_test || ::strcasecmp(shape_type.c_str(),solid->GetTitle()) != 0 ) { printout(ERROR,"TestShape","BAD shape type: %s <-> %s Instance test: %s", - shape.typeStr().c_str(), solid->GetTitle(), + shape_type.c_str(), solid->GetTitle(), instance_test ? "OK" : "FAILED"); } else { printout(INFO,"TestShape","Correct shape type: %s <-> %s Instance test: %s", - shape.typeStr().c_str(), solid->GetTitle(), "OK"); + shape_type.c_str(), solid->GetTitle(), "OK"); } } if ( x_reflect ) { diff --git a/DDG4/src/Geant4Converter.cpp b/DDG4/src/Geant4Converter.cpp index a02b8232c..8cb30b3d2 100644 --- a/DDG4/src/Geant4Converter.cpp +++ b/DDG4/src/Geant4Converter.cpp @@ -1356,34 +1356,36 @@ void* Geant4Converter::printPlacement(const string& name, const TGeoNode* node) return g4; } -template <typename O, typename C, typename F> void handleRefs(const O* o, const C& c, F pmf) { - for (typename C::const_iterator i = c.begin(); i != c.end(); ++i) { - //(o->*pmf)((*i)->GetName(), *i); - (o->*pmf)("", *i); +namespace { + template <typename O, typename C, typename F> void handleRefs(const O* o, const C& c, F pmf) { + for (typename C::const_iterator i = c.begin(); i != c.end(); ++i) { + //(o->*pmf)((*i)->GetName(), *i); + (o->*pmf)("", *i); + } } -} -template <typename O, typename C, typename F> void handle(const O* o, const C& c, F pmf) { - for (typename C::const_iterator i = c.begin(); i != c.end(); ++i) { - (o->*pmf)((*i)->GetName(), *i); + template <typename O, typename C, typename F> void handle(const O* o, const C& c, F pmf) { + for (typename C::const_iterator i = c.begin(); i != c.end(); ++i) { + (o->*pmf)((*i)->GetName(), *i); + } } -} -template <typename O, typename F> void handleArray(const O* o, const TObjArray* c, F pmf) { - TObjArrayIter arr(c); - for(TObject* i = arr.Next(); i; i=arr.Next()) - (o->*pmf)(i); -} + template <typename O, typename F> void handleArray(const O* o, const TObjArray* c, F pmf) { + TObjArrayIter arr(c); + for(TObject* i = arr.Next(); i; i=arr.Next()) + (o->*pmf)(i); + } -template <typename O, typename C, typename F> void handleMap(const O* o, const C& c, F pmf) { - for (typename C::const_iterator i = c.begin(); i != c.end(); ++i) - (o->*pmf)((*i).first, (*i).second); -} + template <typename O, typename C, typename F> void handleMap(const O* o, const C& c, F pmf) { + for (typename C::const_iterator i = c.begin(); i != c.end(); ++i) + (o->*pmf)((*i).first, (*i).second); + } -template <typename O, typename C, typename F> void handleRMap(const O* o, const C& c, F pmf) { - for (typename C::const_reverse_iterator i = c.rbegin(); i != c.rend(); ++i) { - //cout << "Handle RMAP [ " << (*i).first << " ]" << endl; - handle(o, (*i).second, pmf); + template <typename O, typename C, typename F> void handleRMap(const O* o, const C& c, F pmf) { + for (typename C::const_reverse_iterator i = c.rbegin(); i != c.rend(); ++i) { + //cout << "Handle RMAP [ " << (*i).first << " ]" << endl; + handle(o, (*i).second, pmf); + } } } diff --git a/DDParsers/CMakeLists.txt b/DDParsers/CMakeLists.txt index 4f857c33b..cf4732084 100644 --- a/DDParsers/CMakeLists.txt +++ b/DDParsers/CMakeLists.txt @@ -26,7 +26,7 @@ target_include_directories(DDParsers $<INSTALL_INTERFACE:include> ) -target_link_libraries(DDParsers PUBLIC ROOT::Core Boost::boost ${XML_LIBRARIES}) +target_link_libraries(DDParsers PUBLIC ROOT::Core ROOT::GenVector Boost::boost ${XML_LIBRARIES}) set_target_properties(DDParsers PROPERTIES VERSION ${DD4hep_VERSION} SOVERSION ${DD4hep_SOVERSION}) install(DIRECTORY include/Parsers include/Evaluator DESTINATION include) diff --git a/DDParsers/include/Parsers/Parsers.h b/DDParsers/include/Parsers/Parsers.h index f928f1c51..73b5b013c 100644 --- a/DDParsers/include/Parsers/Parsers.h +++ b/DDParsers/include/Parsers/Parsers.h @@ -18,7 +18,17 @@ #define DD4HEP_PARSERS_PARSERS_H #include "Parsers/config.h" -#include "Parsers/spirit/Parsers.h" -#include "Parsers/spirit/ToStream.h" +#include <iostream> +#include <string> +/// Namespace for the AIDA detector description toolkit +namespace dd4hep { + /// Namespace for the spirit parsers of the AIDA detector description toolkit + namespace Parsers { + /// Template for the conversion from string to object + template <typename TYPE> int parse(TYPE& result, const std::string& input); + /// Template for the conversion object to string + template <typename TYPE> std::ostream& toStream(const TYPE& obj, std::ostream& s); + } // End namespace Parsers +} // End namespace dd4hep #endif // DD4HEP_PARSERS_PARSERS_H diff --git a/DDParsers/include/Parsers/spirit/GrammarsV2.h b/DDParsers/include/Parsers/spirit/GrammarsV2.h index bbb86b778..8b78aaee4 100755 --- a/DDParsers/include/Parsers/spirit/GrammarsV2.h +++ b/DDParsers/include/Parsers/spirit/GrammarsV2.h @@ -379,6 +379,7 @@ namespace dd4hep { namespace Parsers { #include "Math/Point3D.h" #include "Math/Vector3D.h" #include "Math/Vector4D.h" +#include "Math/RotationZYX.h" namespace dd4hep { namespace Parsers { @@ -496,6 +497,51 @@ namespace dd4hep { namespace Parsers { typedef Pnt4DGrammar<Iterator, ROOT::Math::LorentzVector<T1>, Skipper> Grammar; }; // ============================================================================ + template< typename Iterator, typename PointT, typename Skipper> + struct Rot3DGrammar : qi::grammar<Iterator, PointT(), Skipper> { + typedef PointT ResultT; + typedef std::string Scalar; + // ---------------------------------------------------------------------------- + struct Operations { + template <typename A, typename B = boost::fusion::unused_type, + typename C = boost::fusion::unused_type, + typename D = boost::fusion::unused_type> + struct result { typedef void type; }; + void operator()(ResultT& res, const Scalar& value,const char xyz) const{ + typename PointT::Scalar val = evaluate_string<typename PointT::Scalar>(value); + switch(xyz) { + case 'x': res.SetPsi(val); break; + case 'y': res.SetPhi(val); break; + case 'z': res.SetTheta(val); break; + default: break; + } + } + }; // Operations + // ---------------------------------------------------------------------------- + Rot3DGrammar() : Rot3DGrammar::base_type(point) { + point = list | ('(' >> list >> ')') | ('[' >> list >> ']'); + list = -(enc::no_case[qi::lit("x")] >> ':') + >> scalar[op(qi::_val,qi::_1,'x')] >> + ',' >> -(enc::no_case[qi::lit("y")] >> ':') + >> scalar[op(qi::_val,qi::_1,'y')] >> + ',' >> -(enc::no_case[qi::lit("z")] >> ':') + >> scalar[op(qi::_val,qi::_1,'z')]; + } + // ---------------------------------------------------------------------------- + qi::rule<Iterator, ResultT(), Skipper> point, list; + typename Grammar_<Iterator, Scalar, Skipper>::Grammar scalar; + ph::function<Operations> op; + // ---------------------------------------------------------------------------- + }; // Rot3DGrammar + // ---------------------------------------------------------------------------- + // Register Rot3DGrammar for ROOT::Math::PositionVector3D: + // ---------------------------------------------------------------------------- + template <typename Iterator, typename Skipper> + struct Grammar_<Iterator, ROOT::Math::RotationZYX, Skipper>{ + typedef Rot3DGrammar<Iterator, ROOT::Math::RotationZYX, Skipper> Grammar; + }; + + // ============================================================================ }} // dd4hep::Parsers #endif //============================================================================ diff --git a/DDParsers/include/Parsers/spirit/Parsers.h b/DDParsers/include/Parsers/spirit/Parsers.h deleted file mode 100755 index b8779e04e..000000000 --- a/DDParsers/include/Parsers/spirit/Parsers.h +++ /dev/null @@ -1,783 +0,0 @@ -//========================================================================== -// AIDA Detector description implementation -//-------------------------------------------------------------------------- -// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) -// All rights reserved. -// -// For the licensing terms see $DD4hepINSTALL/LICENSE. -// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. -// -// Author : M.Frank -// -//========================================================================== -#ifndef DD4HEP_PARSERS_H -#define DD4HEP_PARSERS_H 1 -// ============================================================================ -// Include files -#include "Parsers/config.h" -// ============================================================================ -// STD & STL -// ============================================================================ -#include <string> -#include <vector> -#include <list> -#include <set> -#include <map> -#include <deque> -#include <iostream> - -// ============================================================================ -#define PARSERS_DECL_FOR_SINGLE(Type) \ - namespace dd4hep { namespace Parsers { \ - int parse(Type& result, const std::string& input); \ - }} - -/// Macro to define dummy (local) ostreams -#define DD4HEP_DEFINE_OSTREAM_DUMMY(x) \ - namespace { \ - std::ostream& operator<<(std::ostream& s,const x&) { return s; } \ - } - -#define DD4HEP_DEFINE_PARSER_DUMMY(Type) \ - PARSERS_DECL_FOR_SINGLE(Type) \ - namespace dd4hep { namespace Parsers { \ - int parse(Type&, const std::string&) { return 1; } \ - }} - -#define PARSERS_DECL_FOR_PAIR(FirstType, SecondType) \ - namespace dd4hep { namespace Parsers { \ - int parse(std::pair<FirstType, SecondType >& result,const std::string& input); }} - -#if defined(DD4HEP_HAVE_ALL_PARSERS) -#define PARSERS_DECL_FOR_LIST(InnerType) \ - namespace dd4hep { namespace Parsers { \ - int parse(std::vector<InnerType >& result,const std::string& input); \ - int parse(std::list<InnerType >& result,const std::string& input); \ - int parse(std::set<InnerType >& result,const std::string& input); \ - int parse(std::deque<InnerType >& result,const std::string& input); \ - int parse(std::map<std::string,InnerType >& result,const std::string& input); \ - int parse(std::map<int,InnerType >& result,const std::string& input); \ - int parse(std::map<unsigned long,InnerType >& result,const std::string& input); \ - int parse(std::pair<std::string,InnerType >& result,const std::string& input); \ - int parse(std::pair<int,InnerType >& result,const std::string& input); \ - int parse(std::pair<unsigned long,InnerType >& result,const std::string& input); \ - }} -#else - -#define PARSERS_DECL_FOR_LIST(InnerType) \ - namespace dd4hep { namespace Parsers { \ - int parse(std::vector<InnerType >& result,const std::string& input); \ - int parse(std::list<InnerType >& result,const std::string& input); \ - int parse(std::set<InnerType >& result,const std::string& input); \ - int parse(std::map<std::string,InnerType >& result,const std::string& input); \ - int parse(std::map<int,InnerType >& result,const std::string& input); \ - int parse(std::pair<std::string,InnerType >& result,const std::string& input); \ - int parse(std::pair<int,InnerType >& result,const std::string& input); \ - }} - -#endif // DD4HEP_HAVE_ALL_PARSERS - -// ============================================================================ -/** @file - * The declaration of major parsing functions used e.g - * for (re)implementation of new extended properties see class Property - * These function also could be used in a different, much wider contex. - * all of them have the semantic: - * <c>int parse ( TYPE& result , const std::string& input )</c> - * where <c>input</c> is the input string to be parsed, - * and <c>result</c> is the the result of parsing - * - * @code - * - * const std::string input = ... ; - * std::vector<std::string> result ; - * - * // parse the input - * int sc = parse ( result , input ) ; - * if ( sc.isFailure() ) - * { - * // error here ... - * } - * std::cout << "vector size " << result.size() << std::endl ; - * - * @endcode - * - * @see dd4hep::Parsers::parse - * @see Property - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-12 - */ -// ============================================================================ - -// ======================================================================== -/// parse the <c>bool</c> value -/** @see dd4hep::Parsers::BoolGrammar - * @param result (output) boolean result - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-12 - */ -PARSERS_DECL_FOR_SINGLE(bool) -// ======================================================================== -/// parse the <c>char</c> value -/** - * @see dd4hep::Parsers::CharGrammar - * @param result (output) boolean result - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-12 - */ -#if defined(DD4HEP_HAVE_ALL_PARSERS) -PARSERS_DECL_FOR_SINGLE(char) -/// @see dd4hep::Parsers::parser(char&,std::string&) -PARSERS_DECL_FOR_SINGLE(unsigned char) -/// @see dd4hep::Parsers::parser(char&,std::string&) -PARSERS_DECL_FOR_SINGLE(signed char) -#endif -// ======================================================================== -/// parse the <c>int</c> value -/** - * @see dd4hep::Parsers::IntGrammar - * @param result (output) integer result - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ -/// @see dd4hep::Parsers::parser( int&, const std::string& ) -PARSERS_DECL_FOR_SINGLE(int) -PARSERS_DECL_FOR_SINGLE(long) -#if defined(DD4HEP_HAVE_ALL_PARSERS) -/// @see dd4hep::Parsers::parser( int&, const std::string& ) -PARSERS_DECL_FOR_SINGLE(short) -/// @see dd4hep::Parsers::parser( int&, const std::string& ) -PARSERS_DECL_FOR_SINGLE(unsigned short) -/// @see dd4hep::Parsers::parser( int&, const std::string& ) -PARSERS_DECL_FOR_SINGLE(unsigned int) -/// @see dd4hep::Parsers::parser( int&, const std::string& ) -PARSERS_DECL_FOR_SINGLE(unsigned long) -/// @see dd4hep::Parsers::parser( int&, const std::string& ) -PARSERS_DECL_FOR_SINGLE(long long) -/// @see dd4hep::Parsers::parser( int&, const std::string& ) - PARSERS_DECL_FOR_SINGLE(unsigned long long) -#endif -// ======================================================================== -/// parse the <c>double</c> value -/** - * @see dd4hep::Parsers::RealGrammar - * @param result (output) double result - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ -PARSERS_DECL_FOR_SINGLE(double) -/// @see dd4hep::Parsers::parser( double&, const std::string& ) -PARSERS_DECL_FOR_SINGLE(float) -#if defined(DD4HEP_HAVE_ALL_PARSERS) -/// @see dd4hep::Parsers::parser( double&, const std::string& ) -PARSERS_DECL_FOR_SINGLE(long double) -#endif -// ======================================================================== -/** parse the <c>std::string</c> value - * - * @see dd4hep::Parsers::StringGrammar - * @param result (output) string result - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ -PARSERS_DECL_FOR_SINGLE(std::string) -// ======================================================================== - -PARSERS_DECL_FOR_LIST(int) -PARSERS_DECL_FOR_LIST(long) -PARSERS_DECL_FOR_LIST(bool) -PARSERS_DECL_FOR_LIST(double) -PARSERS_DECL_FOR_LIST(float) -PARSERS_DECL_FOR_LIST(std::string) - -#if defined(DD4HEP_HAVE_ALL_PARSERS) -PARSERS_DECL_FOR_LIST(char) -PARSERS_DECL_FOR_LIST(unsigned char) -PARSERS_DECL_FOR_LIST(signed char) -PARSERS_DECL_FOR_LIST(short) -PARSERS_DECL_FOR_LIST(unsigned short) -PARSERS_DECL_FOR_LIST(unsigned int) -PARSERS_DECL_FOR_LIST(unsigned long) -PARSERS_DECL_FOR_LIST(long long) -PARSERS_DECL_FOR_LIST(unsigned long long) -PARSERS_DECL_FOR_LIST(long double) -#endif - -// ======================================================================== -// Advanced parses -// ======================================================================== -/// parse the <c>std::pair\<double,double\></c> value -/** - * @see dd4hep::Parsers::PairGrammar - * @see dd4hep::Parsers::RealGrammar - * @param result (output) pair of doubles - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ -PARSERS_DECL_FOR_PAIR(double, double) -// ======================================================================== -/** parse the <c>std::pair\<int,int\></c> value - * - * @see dd4hep::Parsers::PairGrammar - * @see dd4hep::Parsers::IntGrammar - * @param result (output) pair of integers - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ -PARSERS_DECL_FOR_PAIR(int, int) -// ======================================================================== - -/// Namespace for the AIDA detector description toolkit -namespace dd4hep { - /// Namespace for the AIDA detector for utilities using boost::spirit parsers - namespace Parsers { - - /// parse the <c>std::vector\<std::pair\<double,double\> \></c> value - /** - * @see dd4hep::Parsers::VectorGrammar - * @see dd4hep::Parsers::PairGrammar - * @see dd4hep::Parsers::RealGrammar - * @param result (output) vector with pairs of doubles - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ - int parse(std::vector<std::pair<double, double> >& result, const std::string& input); - // ======================================================================== - /// parse the <c>std::vector\<std::pair\<int,int\> \></c> value - /** - * @see dd4hep::Parsers::VectorGrammar - * @see dd4hep::Parsers::PairGrammar - * @see dd4hep::Parsers::IntGrammar - * @param result (output) vector with pairs of int - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ - int parse(std::vector<std::pair<int, int> >& result, const std::string& input); - // ======================================================================== - // vector< vector< TYPE > > - // ======================================================================== - /// parse the <c>std::vector\<std::vector\<std::string\> \></c> value - /** - * @see dd4hep::Parsers::VectorGrammar - * @see dd4hep::Parsers::StringGrammar - * @param result (output) vector with vectors of strings - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ - int parse(std::vector<std::vector<std::string> >& result, const std::string& input); - // ======================================================================== - /// parse the <c>std::vector\<std::vector\<double\> \></c> value - /** - * @see dd4hep::Parsers::VectorGrammar - * @see dd4hep::Parsers::RealGrammar - * @param result (output) vector with vectors of doubles - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ - int parse(std::vector<std::vector<double> >& result, const std::string& input); - // ======================================================================== - // map< TYPE, TYPE > - // ======================================================================== - /// parse the <c>std::map\<int , int\></c> value - /** - * @see dd4hep::Parsers::MapGrammar - * @see dd4hep::Parsers::IntGrammar - * @param result (output) map with integer key and double value - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ - int parse(std::map<int, int>& result, const std::string& input); - // ======================================================================== - /// parse the <c>std::map\<int , double\></c> value - /** - * @see dd4hep::Parsers::MapGrammar - * @see dd4hep::Parsers::IntGrammar - * @see dd4hep::Parsers::RealGrammar - * @param result (output) map with integer key and double value - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ - int parse(std::map<int, double>& result, const std::string& input); - // ======================================================================== - /// parse the <c>std::map\<std::string , std::string\></c> value - /** - * @see dd4hep::Parsers::MapGrammar - * @see dd4hep::Parsers::StringGrammar - * @param result (output) map with string key and value - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ - int parse(std::map<std::string, std::string>& result, const std::string& input); - // ======================================================================== - /// parse the <c>std::map\<std::string , int\></c> value - /** - * @see dd4hep::Parsers::MapGrammar - * @see dd4hep::Parsers::StringGrammar - * @see dd4hep::Parsers::IntGrammar - * @param result (output) map with string key and integer value - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ - int parse(std::map<std::string, int>& result, const std::string& input); - // ======================================================================== - /// parse the <c>std::map\<std::string , double\></c> value - /** - * @see dd4hep::Parsers::MapGrammar - * @see dd4hep::Parsers::StringGrammar - * @see dd4hep::Parsers::RealGrammar - * @param result (output) map with string key and integer value - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ - int parse(std::map<std::string, double>& result, const std::string& input); - // ======================================================================== - /// parse the <c>std::map\<std::string , std::vector\<std::string\> \></c> value - /** - * @see dd4hep::Parsers::MapGrammar - * @see dd4hep::Parsers::StringGrammar - * @see dd4hep::Parsers::VectorGrammar - * @param result (output) map with string value and - * vector of strings as value - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ - int parse(std::map<std::string, std::vector<std::string> >& result, const std::string& input); - // ======================================================================== - /// parse the <c>std::map\<std::string , std::vector\<int\> \></c> value - /** - * @see dd4hep::Parsers::MapGrammar - * @see dd4hep::Parsers::StringGrammar - * @see dd4hep::Parsers::VectorGrammar - * @see dd4hep::Parsers::IntGrammar - * @param result (output) map with string value and - * vector of integers as value - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ - int parse(std::map<std::string, std::vector<int> >& result, const std::string& input); - // ======================================================================== - /// parse the <c>std::map\<std::string , std::vector\<double\> \></c> value - /** - * @see dd4hep::Parsers::MapGrammar - * @see dd4hep::Parsers::StringGrammar - * @see dd4hep::Parsers::VectorGrammar - * @see dd4hep::Parsers::RealGrammar - * @param result (output) map with string value and - * vector of doubles as value - * @param input (input) the string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-14 - */ - int parse(std::map<std::string, std::vector<double> >& result, const std::string& input); - // ======================================================================== - /// parse the <c>std::map\<int,std::string\> \></c> objects - /** - * @see dd4hep::Parsers::MapGrammar - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @date 2007-12-06 - */ - int parse(std::map<int, std::string>& result, const std::string& input); - - // ======================================================================== - /// parse the <c>std::map\<unsigned int,std::string\> \></c> objects - /** - * @see dd4hep::Parsers::MapGrammar - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @date 2007-12-06 - */ -#if defined(DD4HEP_HAVE_ALL_PARSERS) - int parse(std::map<unsigned int, std::string>& result, const std::string& input); - - // ======================================================================== - /// parse the <c>std::map\<unsigned int,std::string\> \></c> objects - /** - * @see dd4hep::Parsers::MapGrammar - */ - int parse(std::map<std::string, unsigned int>& result, const std::string& input); -#endif - - // ======================================================================== - /// parse the pair expression (map-component) " 'name' :value" - /** - * @code - * - * const std::string input = "'PackageName':dd4hepKernel" ; - * std::string name ; - * std::string value ; - * int sc = dd4hep::Parsers::parse ( name , value , input ) ; - * if ( sc.isFailure() ) { ... } - * std::cout << "\tParsed name is " << name - * << "\tParsed value is " << value << std::endl - * @endcode - * - * @param name (output) the parsed name of the component, defined - * as 'name' or "name" before the column symbol ":", - * the leading and trailing blans are omitted - * @param value (output) the parsed value of the component, - * defined as everything after the column symbol ":" - * till the end of the string - * @param input (input) string to be parsed - * @return status code - * - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @author Vanya BELYAEV ibelyaev@physics.syr.edu - * @date 2006-05-12 - */ - int parse(std::string& name, std::string& value, const std::string& input); - - // ======================================================================== - /// helper function, needed for implementation of map of pairs - /** It is very useful construction for monitoring to - * represent the value and error or the allowed range for - * some parameter - * @param params the map of pair - * @param input the string to be parsed - * @return status code - * @author Vanya BELYAEV Ivan.Belyaev@nikhef.nl - * @author Alexander MAZUROV Alexander.Mazurov@gmail.com - * @date 2009-05-19 - */ - int parse(std::map<std::string, std::pair<double, double> >& params, const std::string& input); - - // ======================================================================== - /// parser function for C-arrays - /** @param result C-array - * @param input the string to be parsed - * @return status code - * @author Vanya BELYAEV Ivan.Belyaev@nikhef.nl - * @date 2009-09-15 - */ - template <class T, unsigned int N> - int parse(T (&result)[N], const std::string& input) { - typedef std::vector<T> _Vct; - // create the temporary vector - _Vct tmp; - int sc = parse(tmp, input); - if (!sc) { - return sc; - } // RETURN - if (N != tmp.size()) { - return 0; - } // RETURN - // - std::copy(tmp.begin(), tmp.end(), result); - // - return 1; // RETURN - } - // ======================================================================== - /// parser function for C-strings - /** @param result C-string - * @param input the string to be parsed - * @return status code - * @author Vanya BELYAEV Ivan.Belyaev@nikhef.nl - * @date 2009-09-15 - */ - template <unsigned int N> - int parse(char (&result)[N], const std::string& input) { - // clear the string - std::fill_n(result, N, ' '); - // create the temporary string - std::string tmp; - int sc = parse(tmp, input); - if (!sc) { - return sc; - } // RETURN - if (N == tmp.size()) { - std::copy(tmp.begin(), tmp.end(), result); - } - else if (N + 2 == tmp.size() && ('\'' == tmp[0] || '\"' == tmp[0]) && (tmp[0] == tmp[tmp.size() - 1])) { - std::copy(tmp.begin() + 1, tmp.end() - 1, result); - } - else { - return 0; - } - // - return 1; // RETURN - } - } // end of namespace Parsers -} // end of namespace dd4hep - -#ifndef DD4HEP_PARSERS_NO_ROOT - -#include "Math/Point3D.h" -#include "Math/Vector3D.h" -#include "Math/Vector4D.h" - -namespace ROOT { - namespace Math { - /// Allow point insertion of a point in maps - bool operator<(const XYZPoint& a, const XYZPoint& b); - /// Allow 3-vector insertion of a in maps - bool operator<(const XYZVector& a, const XYZVector& b); - /// Allow 4-vector insertion of a in maps - bool operator<(const PxPyPzEVector& a, const PxPyPzEVector& b); - } -} - -/// Namespace for the AIDA detector description toolkit -namespace dd4hep { - /// Namespace for the AIDA detector for utilities using boost::spirit parsers - namespace Parsers { - - // ======================================================================== - /// parse 3D-point - /** - * Valid representations of 3D-point: - * - * - a'la python tuple with 3 elements ("canonical") - * - a'la python list with 3 elements - * - tuple or list with named ordered fields - * - * @code - * - * " (1,2,3) " - * " [1,2,3] " - * " [ x : 1, 2, Z:3 ] " - * " [ pX : 1 , PY : 2, 3] " - * - * @endcode - * - * Valid keys for names fields: - * - * @code - * - * "x", "X" , "pX" , "Px" , "PX " - * "y", "Y" , "pY" , "Py" , "PY " - * "z", "Z" , "pZ" , "Pz" , "PZ " - * - * @endcode - * - * @attention Named fields must be ordered <code>(x,y,z)</code> - * - * @param result (output) the parsed point - * @param input (input) the input string - * @return status code - * @author Vanya BELYAEV Ivan.Belyaev@nikhef.nl - * @date 2009-09-05 - */ - int parse(ROOT::Math::XYZPoint& result, const std::string& input); - - // ======================================================================== - /// parse 3D-vector - /** - * Valid representations of 3D-vector: - * - * - a'la python tuple with 3 elements ("canonical") - * - a'la python list with 3 elements - * - tuple or list with named ordered fields - * - * @code - * - * " (1,2,3) " - * " [1,2,3] " - * " [ x : 1, 2, Z:3 ] " - * " [ pX : 1 , PY : 2, 3] " - * - * @endcode - * - * Valid keys for names fields: - * - * @code - * - * "x", "X" , "pX" , "Px" , "PX " - * "y", "Y" , "pY" , "Py" , "PY " - * "z", "Z" , "pZ" , "Pz" , "PZ " - * - * @endcode - * - * @attention Named fields must be ordered <code>(x,y,z)</code> - * - * @param result (output) the parsed vector - * @param input (input) the input string - * @return status code - * @author Vanya BELYAEV Ivan.Belyaev@nikhef.nl - * @date 2009-09-05 - */ - int parse( ROOT::Math::XYZVector& result, const std::string& input); - - // ======================================================================== - /// parse PxPyPzEVector - /** - * Valid representations of Lorenzt vector - * - * - a'la python tuple with 4 elements ("canonical") - * - a'la python list with 4 elements - * - python/list with inner representation of 3D-point/vector - * - tuple or list with named ordered fields - * - * @code - * - * " (1,2,3,4) " - * " (1,2,3;4) " - * - * " [1,2,3,4] " - * " [1,2,3;4] " - * - * " [ x:1 ,2,3; e= 4] " - * " [ pX : 1 , PY : 2, 3 , T= 4] " - * - * " [ ( pX : 1 , PY : 2, 3 ) , 4] " - * " [ ( pX : 1 , PY : 2, 3 ) ; 4] " - * - * " [ 4 , ( pX : 1 , PY : 2, 3 ) ] " - * " [ 4 ; ( pX : 1 , PY : 2, 3 ) ] " - * - * " [ [ pX : 1 , PY : 2, 3 ] , 4] " - * " [ [ pX : 1 , PY : 2, 3 ] ; 4] " - * - * " [ 4 , [ pX : 1 , PY : 2, 3 ] ] " - * " [ 4 ; [ pX : 1 , PY : 2, 3 ] ] " - * - * " ( ( pX : 1 , PY : 2, 3 ) , 4 )" - * " ( ( pX : 1 , PY : 2, 3 ) ; 4 )" - * - * " ( 4 , ( pX : 1 , PY : 2, 3 ) )" - * " ( 4 ; ( pX : 1 , PY : 2, 3 ) )" - * - * " ( [ pX : 1 , PY : 2, 3 ] , 4 )" - * " ( [ pX : 1 , PY : 2, 3 ] ; 4 )" - * - * " ( 4 , [ pX : 1 , PY : 2, 3 ] )" - * " ( 4 ; [ pX : 1 , PY : 2, 3 ] )" - * - * - * @endcode - * - * Note that "energy" element can be separated with semicolon. - * - * Valid keys for names fields: - * - * @code - * - * "x", "X" , "pX" , "Px" , "PX " - * "y", "Y" , "pY" , "Py" , "PY " - * "z", "Z" , "pZ" , "Pz" , "PZ " - * "t", "T" , "e" , "E" - * - * @endcode - * - * @attention Named fields must be ordered <code>(x,y,z)</code> - * - * @param result (output) the parsed lorentz vector - * @param input (input) the input string - * @return status code - * @author Vanya BELYAEV Ivan.Belyaev@nikhef.nl - * @date 2009-09-05 - */ - int parse(ROOT::Math::PxPyPzEVector& result, const std::string& input); - } // end of namespace Parsers -} // end of namespace dd4hep - - -// ======================================================================== -/// parse the vector of points -/** @param result (OUTPUT) the parser vector - * @param input (INPUT) the string to be parsed - * @author Vanya BELYAEV Ivan.Belyaev@nikhef.nl - * @date 2009-09-05 - */ -PARSERS_DECL_FOR_LIST(ROOT::Math::XYZPoint) - -// ======================================================================== -/// parse the vector of vectors -/** @param result (OUTPUT) the parser vector - * @param input (INPIUT) the string to be parsed - * @author Vanya BELYAEV Ivan.Belyaev@nikhef.nl - * @date 2009-09-05 - */ -PARSERS_DECL_FOR_LIST(ROOT::Math::XYZVector) - -// ======================================================================== -/// parse the vector of vectors -/** @param result (OUTPUT) the parser vector - * @param input (INPUT) the string to be parsed - * @author Vanya BELYAEV Ivan.Belyaev@nikhef.nl - * @date 2009-09-05 - */ -PARSERS_DECL_FOR_LIST(ROOT::Math::PxPyPzEVector) - -#endif -// ============================================================================ -// The END -// ============================================================================ -#endif // DD4HEP_PARSERS_H -// ============================================================================ diff --git a/DDParsers/include/Parsers/spirit/ParsersFactory.h b/DDParsers/include/Parsers/spirit/ParsersFactory.h index 8fa42bf91..61718c63d 100644 --- a/DDParsers/include/Parsers/spirit/ParsersFactory.h +++ b/DDParsers/include/Parsers/spirit/ParsersFactory.h @@ -29,12 +29,19 @@ #include "Parsers/config.h" #include "Parsers/spirit/UsedParser.h" #include "Parsers/spirit/GrammarsV2.h" +#include "Parsers/spirit/GrammarsV2.h" +#include "Parsers/spirit/ToStream.h" // ============================================================================ /// Namespace for the AIDA detector description toolkit namespace dd4hep { /// Namespace for the AIDA detector for utilities using boost::spirit parsers namespace Parsers { + template <typename TYPE> + int parse(TYPE& result, const std::string& input); + template <typename TYPE> + std::ostream& toStream(const TYPE& obj, std::ostream& s); + // ======================================================================== typedef std::string::const_iterator IteratorT; //typedef boost::spirit::ascii::space_type Skipper; @@ -67,10 +74,13 @@ namespace dd4hep { //============================================================================= // ============================================================================ -#define PARSERS_DEF_FOR_SINGLE(Type) \ - PARSERS_DECL_FOR_SINGLE(Type) \ - int dd4hep::Parsers::parse(Type& result, const std::string& input) \ - { return dd4hep::Parsers::parse_(result, input); } +#define PARSERS_DEF_FOR_SINGLE(Type) \ + namespace dd4hep { \ + namespace Parsers { \ + template <> int parse(Type& result, const std::string& input) \ + { return parse_(result, input); } \ + template <> std::ostream& toStream(const Type& obj, std::ostream& s) \ + { return toStream_(obj, s); }}} // ============================================================================ #endif // DD4HEPPROPERTYPARSERS_PARSERSGENERATOR_H diff --git a/DDParsers/include/Parsers/spirit/ParsersStandardListCommon.h b/DDParsers/include/Parsers/spirit/ParsersStandardListCommon.h index 36bbfa647..aafa73762 100755 --- a/DDParsers/include/Parsers/spirit/ParsersStandardListCommon.h +++ b/DDParsers/include/Parsers/spirit/ParsersStandardListCommon.h @@ -15,21 +15,50 @@ // ============================================================================ #include "Parsers/spirit/ParsersFactory.h" -#define IMPLEMENT_STL_PARSER(x,y) \ - int parse(x < y > & result, const std::string& input) \ - { result.clear(); return parse_(result, input); } +#ifndef DD4HEP_PARSERS_NO_ROOT +// ============================================================================ +namespace dd4hep { + namespace Parsers { + // ======================================================================== + template<typename T1, typename T2> inline int + parse_(ROOT::Math::PositionVector3D<T1,T2>& result, const std::string& input){ + Skipper skipper; + typename Grammar_<IteratorT,ROOT::Math::PositionVector3D<T1,T2>,Skipper>::Grammar g; + IteratorT iter = input.begin(), end = input.end(); + if (qi::phrase_parse( iter, end, g, skipper, result)){ + return 1; + } + return 0; + } + } +} +#endif + +#define IMPLEMENT_STL_PARSER(x,y) \ + template <> int parse(x < y > & result, const std::string& input) \ + { result.clear(); return parse_(result, input); } \ + template <> std::ostream& toStream(const x < y >& o,std::ostream& s) \ + { return toStream_(o, s); } -#define IMPLEMENT_STL_MAP_PARSER(x,k,v) \ - int parse(x < k, v > & result, const std::string& input) \ - { result.clear(); return parse_(result, input); } +#define IMPLEMENT_STL_MAP_PARSER(x,k,v) \ + template <> int parse(x < k, v > & result, const std::string& input) \ + { result.clear(); return parse_(result, input); } \ + template <> std::ostream& toStream(const x <k,v>& o,std::ostream& s) \ + { return toStream_(o, s); } -#define IMPLEMENT_MAPPED_PARSERS(type,X) \ - int parse(std::type <int,X>& result,const std::string& input) \ - { return parse_(result, input); } \ - int parse(std::type <unsigned long,X>& result,const std::string& input) \ - { return parse_(result, input); } \ - int parse(std::type <std::string,X>& result,const std::string& input) \ - { return parse_(result, input); } +#define IMPLEMENT_MAPPED_PARSERS(type,X) \ + template <> int parse(std::type <int,X>& result,const std::string& input) \ + { return parse_(result, input); } \ + template <> std::ostream& toStream(const std::type <int,X>& o,std::ostream& s) \ + { return toStream_(o, s); } \ + template <> int parse(std::type <unsigned long,X>& result,const std::string& input) \ + { return parse_(result, input); } \ + template <> std::ostream& toStream(const std::type <unsigned long,X>& o,std::ostream& s) \ + { return toStream_(o, s); } \ + template <> int parse(std::type <std::string,X>& result,const std::string& input) \ + { return parse_(result, input); } \ + template <> std::ostream& toStream(const std::type <std::string,X>& o,std::ostream& s) \ + { return toStream_(o, s); } #if defined(DD4HEP_HAVE_ALL_PARSERS) @@ -59,23 +88,5 @@ IMPLEMENT_STL_PARSERS(InnerType) \ IMPLEMENT_MAPPED_PARSERS(pair,InnerType) }} -#ifndef DD4HEP_PARSERS_NO_ROOT -// ============================================================================ -namespace dd4hep { - namespace Parsers { - // ======================================================================== - template<typename T1, typename T2> inline int - parse_(ROOT::Math::PositionVector3D<T1,T2>& result, const std::string& input){ - Skipper skipper; - typename Grammar_<IteratorT,ROOT::Math::PositionVector3D<T1,T2>,Skipper>::Grammar g; - IteratorT iter = input.begin(), end = input.end(); - if (qi::phrase_parse( iter, end, g, skipper, result)){ - return 1; - } - return 0; - } - } -} -#endif // ============================================================================ #endif /* PARSERS_STANDARD_LIST_COMMON_H */ diff --git a/DDParsers/include/Parsers/spirit/ToStream.h b/DDParsers/include/Parsers/spirit/ToStream.h index de1912fea..16b25055a 100644 --- a/DDParsers/include/Parsers/spirit/ToStream.h +++ b/DDParsers/include/Parsers/spirit/ToStream.h @@ -44,7 +44,11 @@ namespace dd4hep { // ========================================================================== /// Utility namespace to support boost::spirit - namespace Utils { + namespace Parsers { + + template <class TYPE> + std::ostream& toStream(const TYPE& obj, std::ostream& s); + // ======================================================================== /** the generic implementation of the printout to the std::ostream * @author Alexander MAZUROV Alexander.Mazurov@gmail.com @@ -52,7 +56,7 @@ namespace dd4hep { * @date 2006-05-12 */ template <class TYPE> - std::ostream& toStream(const TYPE& obj, std::ostream& s); + std::ostream& toStream_(const TYPE& obj, std::ostream& s); // ======================================================================== /// the helper function to print the sequence /** @param first (INPUT) begin-iterator for the sequence @@ -66,7 +70,7 @@ namespace dd4hep { * @date 2009-09-15 */ template <class ITERATOR> - inline std::ostream& toStream(ITERATOR first, // begin of the sequence + inline std::ostream& toStream_(ITERATOR first, // begin of the sequence ITERATOR last, // end of the sequence std::ostream& s, // the stream const std::string& open, // opening @@ -79,7 +83,7 @@ namespace dd4hep { * @author Vanya BELYAEV ibelyaev@physics.syr.edu * @date 2006-05-12 */ - inline std::ostream& toStream(const std::string& obj, std::ostream& s) { + inline std::ostream& toStream_(const std::string& obj, std::ostream& s) { if (std::string::npos == obj.find('\'')) { s << "\'" << obj << "\'"; } @@ -92,14 +96,14 @@ namespace dd4hep { /** @author Vanya BELYAEV ibelyaev@physics.syr.edu * @date 2006-09-09 */ - inline std::ostream& toStream(const bool obj, std::ostream& s) { + inline std::ostream& toStream_(const bool obj, std::ostream& s) { return s << (obj ? "True" : "False"); } /// the printout of float values with the reasonable precision /** @author Vanya BELYAEV ibelyaev@physics.syr.edu * @date 2006-09-09 */ - inline std::ostream& toStream(const float obj, std::ostream& s, const int prec = 6) { + inline std::ostream& toStream_(const float obj, std::ostream& s, const int prec = 6) { const int p = s.precision(); return s << std::setprecision(prec) << obj << std::setprecision(p); } @@ -107,7 +111,7 @@ namespace dd4hep { /** @author Vanya BELYAEV ibelyaev@physics.syr.edu * @date 2006-09-09 */ - inline std::ostream& toStream(const double obj, std::ostream& s, const int prec = 8) { + inline std::ostream& toStream_(const double obj, std::ostream& s, const int prec = 8) { const int p = s.precision(); return s << std::setprecision(prec) << obj << std::setprecision(p); } @@ -115,7 +119,7 @@ namespace dd4hep { /** @author Vanya BELYAEV ibelyaev@physics.syr.edu * @date 2006-09-09 */ - inline std::ostream& toStream(const long double obj, std::ostream& s, const int prec = 10) { + inline std::ostream& toStream_(const long double obj, std::ostream& s, const int prec = 10) { const int p = s.precision(); return s << std::setprecision(prec) << obj << std::setprecision(p); } @@ -128,11 +132,11 @@ namespace dd4hep { * @date 2006-05-12 */ template <class KTYPE, class VTYPE> - inline std::ostream& toStream(const std::pair<KTYPE, VTYPE>& obj, std::ostream& s) { + inline std::ostream& toStream_(const std::pair<KTYPE, VTYPE>& obj, std::ostream& s) { s << "( "; - toStream(obj.first, s); + toStream_(obj.first, s); s << " , "; - toStream(obj.second, s); + toStream_(obj.second, s); return s << " )"; } // ======================================================================== @@ -143,8 +147,8 @@ namespace dd4hep { * @date 2006-05-12 */ template <class TYPE, class ALLOCATOR> - inline std::ostream& toStream(const std::vector<TYPE, ALLOCATOR>& obj, std::ostream& s) { - return toStream(obj.begin(), obj.end(), s, "[ ", " ]", " , "); + inline std::ostream& toStream_(const std::vector<TYPE, ALLOCATOR>& obj, std::ostream& s) { + return toStream_(obj.begin(), obj.end(), s, "[ ", " ]", " , "); } // ======================================================================== /** the partial template specialization of <c>std::list<TYPE,ALLOCATOR></c> @@ -154,8 +158,8 @@ namespace dd4hep { * @date 2007-04-08 */ template <class TYPE, class ALLOCATOR> - inline std::ostream& toStream(const std::list<TYPE, ALLOCATOR>& obj, std::ostream& s) { - return toStream(obj.begin(), obj.end(), s, "[ ", " ]", " , "); + inline std::ostream& toStream_(const std::list<TYPE, ALLOCATOR>& obj, std::ostream& s) { + return toStream_(obj.begin(), obj.end(), s, "[ ", " ]", " , "); } // ======================================================================== /** the partial template specialization of <c>std::deque<TYPE,ALLOCATOR></c> @@ -165,8 +169,8 @@ namespace dd4hep { * @date 2006-05-12 */ template <class TYPE, class ALLOCATOR> - inline std::ostream& toStream(const std::deque<TYPE, ALLOCATOR>& obj, std::ostream& s) { - return toStream(obj.begin(), obj.end(), s, "[ ", " ]", " , "); + inline std::ostream& toStream_(const std::deque<TYPE, ALLOCATOR>& obj, std::ostream& s) { + return toStream_(obj.begin(), obj.end(), s, "[ ", " ]", " , "); } // ======================================================================== /** the partial template specialization of <c>std::set<TYPE,CMP,ALLOCATOR></c> @@ -176,8 +180,8 @@ namespace dd4hep { * @date 2006-05-12 */ template <class TYPE, class CMP, class ALLOCATOR> - inline std::ostream& toStream(const std::set<TYPE, CMP, ALLOCATOR>& obj, std::ostream& s) { - return toStream(obj.begin(), obj.end(), s, "[ ", " ]", " , "); + inline std::ostream& toStream_(const std::set<TYPE, CMP, ALLOCATOR>& obj, std::ostream& s) { + return toStream_(obj.begin(), obj.end(), s, "[ ", " ]", " , "); } // ======================================================================== /** the partial template specialization of @@ -188,15 +192,15 @@ namespace dd4hep { * @date 2006-05-12 */ template <class KTYPE, class VTYPE, class CMP, class ALLOCATOR> - inline std::ostream& toStream(const std::map<KTYPE, VTYPE, CMP, ALLOCATOR>& obj, std::ostream& s) { + inline std::ostream& toStream_(const std::map<KTYPE, VTYPE, CMP, ALLOCATOR>& obj, std::ostream& s) { s << "{ "; for (typename std::map<KTYPE, VTYPE, CMP, ALLOCATOR>::const_iterator cur = obj.begin(); obj.end() != cur; ++cur) { if (obj.begin() != cur) { s << " , "; } - toStream(cur->first, s); + toStream_(cur->first, s); s << " : "; - toStream(cur->second, s); + toStream_(cur->second, s); } return s << " }"; } @@ -207,8 +211,8 @@ namespace dd4hep { * @date 2009-10-05 */ template <class TYPE, unsigned int N> - std::ostream& toStream(TYPE (&obj)[N], std::ostream& s) { - return toStream(obj, obj + N, s, "( ", " )", " , "); + std::ostream& toStream_(TYPE (&obj)[N], std::ostream& s) { + return toStream_(obj, obj + N, s, "( ", " )", " , "); } // ======================================================================== /** the specialization for C-arrays, a'la python tuple @@ -216,8 +220,8 @@ namespace dd4hep { * @date 2009-10-05 */ template <class TYPE, unsigned int N> - std::ostream& toStream(const TYPE (&obj)[N], std::ostream& s) { - return toStream(obj, obj + N, s, "( ", " )", " , "); + std::ostream& toStream_(const TYPE (&obj)[N], std::ostream& s) { + return toStream_(obj, obj + N, s, "( ", " )", " , "); } // ======================================================================== /** the specialization for C-string, a'la python tuple @@ -225,8 +229,8 @@ namespace dd4hep { * @date 2009-10-05 */ template <unsigned int N> - std::ostream& toStream(char (&obj)[N], std::ostream& s) { - return toStream(std::string(obj, obj + N), s); + std::ostream& toStream_(char (&obj)[N], std::ostream& s) { + return toStream_(std::string(obj, obj + N), s); } // ======================================================================== /** the specialization for C-string, a'la python tuple @@ -234,16 +238,16 @@ namespace dd4hep { * @date 2009-10-05 */ template <unsigned int N> - std::ostream& toStream(const char (&obj)[N], std::ostream& s) { - return toStream(std::string(obj, obj + N), s); + std::ostream& toStream_(const char (&obj)[N], std::ostream& s) { + return toStream_(std::string(obj, obj + N), s); } // ======================================================================== /** the specialization for C-string, a'la python tuple * @author Vanya BELYAEV Ivan.Belyaev@nikhenf.nl * @date 2009-10-05 */ - inline std::ostream& toStream(const char* obj, std::ostream& s) { - return toStream(std::string(obj), s); + inline std::ostream& toStream_(const char* obj, std::ostream& s) { + return toStream_(std::string(obj), s); } // ======================================================================== /** the generic implementation of the printout to the std::ostream @@ -252,7 +256,7 @@ namespace dd4hep { * @date 2006-05-12 */ template <class TYPE> - inline std::ostream& toStream(const TYPE& obj, std::ostream& s) { + inline std::ostream& toStream_(const TYPE& obj, std::ostream& s) { return s << obj; } // ======================================================================== @@ -268,7 +272,7 @@ namespace dd4hep { * @date 2009-09-15 */ template <class ITERATOR> - inline std::ostream& toStream(ITERATOR first, // begin of the sequence + inline std::ostream& toStream_(ITERATOR first, // begin of the sequence ITERATOR last, // end of the sequence std::ostream& s, // the stream const std::string& open, // opening @@ -280,7 +284,7 @@ namespace dd4hep { if (first != curr) { s << delim; } - toStream(*curr, s); + toStream_(*curr, s); } s << close; // @@ -291,7 +295,7 @@ namespace dd4hep { * @author Alexander MAZUROV Alexander.Mazurov@gmail.com * @author Vanya BELYAEV ibelyaev@physics.syr.edu * @date 2006-05-12 - * @see dd4hep::Utils::toStream + * @see dd4hep::Parsers::toStream_ * @todo need to be compared with boost::lexical_cast */ template <class TYPE> @@ -299,12 +303,12 @@ namespace dd4hep { std::ostringstream s; std::ios::fmtflags orig_flags = s.flags(); s.setf(std::ios::showpoint); // to display correctly floats - toStream(obj, s); + toStream_(obj, s); s.flags(orig_flags); return s.str(); } // ======================================================================== - }// end of namespace dd4hep::Utils + }// end of namespace dd4hep::Parsers // ========================================================================== }// end of namespace dd4hep @@ -312,20 +316,24 @@ namespace dd4hep { #include "Math/Point3D.h" #include "Math/Vector3D.h" #include "Math/Vector4D.h" +#include "Math/RotationZYX.h" + /// Namespace for the AIDA detector description toolkit namespace dd4hep { // ========================================================================== /// Utility namespace to support boost::spirit - namespace Utils { + namespace Parsers { // ============================================================================ /// print XYZ point - std::ostream& toStream(const ROOT::Math::XYZPoint& obj, std::ostream& s); + std::ostream& toStream_(const ROOT::Math::XYZPoint& obj, std::ostream& s); // print XYZ-vector - std::ostream& toStream(const ROOT::Math::XYZVector& obj, std::ostream& s); + std::ostream& toStream_(const ROOT::Math::XYZVector& obj, std::ostream& s); /// print Lorentz vector - std::ostream& toStream(const ROOT::Math::PxPyPzEVector& obj, std::ostream& s); + std::ostream& toStream_(const ROOT::Math::PxPyPzEVector& obj, std::ostream& s); + /// print RotationZYX + std::ostream& toStream_(const ROOT::Math::RotationZYX& obj, std::ostream& s); // ======================================================================== - }// end of namespace dd4hep::Utils + }// end of namespace dd4hep::Parsers // ========================================================================== }// end of namespace dd4hep #endif diff --git a/DDParsers/include/Parsers/spirit/UsedParser.h b/DDParsers/include/Parsers/spirit/UsedParser.h index df3a6302d..7e6a7bbd4 100755 --- a/DDParsers/include/Parsers/spirit/UsedParser.h +++ b/DDParsers/include/Parsers/spirit/UsedParser.h @@ -21,8 +21,7 @@ #else // Standard DD4hep parser handling -#include "Parsers/spirit/Parsers.h" -#include "Parsers/spirit/ToStream.h" +#include "Parsers/Parsers.h" #endif diff --git a/DDParsers/src/Spirit/ParsersObjects_PxPyPzEVector.cpp b/DDParsers/src/Spirit/ParsersObjects_PxPyPzEVector.cpp index 822fa706b..ecf5a440a 100755 --- a/DDParsers/src/Spirit/ParsersObjects_PxPyPzEVector.cpp +++ b/DDParsers/src/Spirit/ParsersObjects_PxPyPzEVector.cpp @@ -24,11 +24,13 @@ namespace ROOT { namespace Math { } }} +template struct std::less<ROOT::Math::PxPyPzEVector>; + // ============================================================================ namespace dd4hep { namespace Parsers { - int parse(ROOT::Math::PxPyPzEVector& result, const std::string& input) { + template <> int parse(ROOT::Math::PxPyPzEVector& result, const std::string& input) { return parse_(result, input); } diff --git a/DDParsers/src/Spirit/ParsersObjects_RotationZYX.cpp b/DDParsers/src/Spirit/ParsersObjects_RotationZYX.cpp new file mode 100644 index 000000000..3bd7ee045 --- /dev/null +++ b/DDParsers/src/Spirit/ParsersObjects_RotationZYX.cpp @@ -0,0 +1,49 @@ +//========================================================================== +// AIDA Detector description implementation +//-------------------------------------------------------------------------- +// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) +// All rights reserved. +// +// For the licensing terms see $DD4hepINSTALL/LICENSE. +// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. +// +//========================================================================== +//========================================================================== +// Include files +//========================================================================== +#ifndef DD4HEP_PARSERS_NO_ROOT +#include "Parsers/spirit/ParsersStandardListCommon.h" + +namespace ROOT { namespace Math { + bool operator<(const RotationZYX& a, const RotationZYX& b) { + if ( a.Theta() < b.Theta() ) return true; + if ( a.Phi() < b.Phi() ) return true; + if ( a.Psi() < b.Psi() ) return true; + return false; + } + }} + +template struct std::less<ROOT::Math::RotationZYX>; + +// ============================================================================ +namespace dd4hep { + namespace Parsers { + + // ========================================================================== + template <> int parse(ROOT::Math::RotationZYX& result,const std::string& input) { + return parse_(result, input); + } + // ========================================================================== + /* parse the vector of points + * @param resut (OUTPUT) the parser vector + * @param input (INPIUT) the string to be parsed + * @author Vanya BELYAEV Ivan.Belyaev@nikhef.nl + * @date 2009-09-05 + */ + // ========================================================================== + IMPLEMENT_STL_PARSERS(ROOT::Math::RotationZYX) + IMPLEMENT_MAPPED_PARSERS(pair,ROOT::Math::RotationZYX) + } +} +#endif + diff --git a/DDParsers/src/Spirit/ParsersObjects_XYZPoint.cpp b/DDParsers/src/Spirit/ParsersObjects_XYZPoint.cpp index 379da7a39..d7c396374 100755 --- a/DDParsers/src/Spirit/ParsersObjects_XYZPoint.cpp +++ b/DDParsers/src/Spirit/ParsersObjects_XYZPoint.cpp @@ -27,7 +27,7 @@ namespace dd4hep { namespace Parsers { // ========================================================================== - int parse(ROOT::Math::XYZPoint& result,const std::string& input) { + template <> int parse(ROOT::Math::XYZPoint& result,const std::string& input) { return parse_(result, input); } // ========================================================================== diff --git a/DDParsers/src/Spirit/ParsersObjects_XYZVector.cpp b/DDParsers/src/Spirit/ParsersObjects_XYZVector.cpp index 7013dc8d6..2e518b28d 100755 --- a/DDParsers/src/Spirit/ParsersObjects_XYZVector.cpp +++ b/DDParsers/src/Spirit/ParsersObjects_XYZVector.cpp @@ -23,9 +23,7 @@ namespace ROOT { namespace Math { } }} -template struct std::less<ROOT::Math::XYZPoint>; template struct std::less<ROOT::Math::XYZVector>; -template struct std::less<ROOT::Math::PxPyPzEVector>; // ============================================================================ namespace dd4hep { @@ -39,7 +37,7 @@ namespace dd4hep { * @author Vanya BELYAEV Ivan.Belyaev@nikhef.nl * @date 2009-09-05 */ - int parse(ROOT::Math::XYZVector& result,const std::string& input) { + template <> int parse(ROOT::Math::XYZVector& result,const std::string& input) { ROOT::Math::XYZPoint point; int sc = parse(point,input); if ( 0 == sc ){ return sc; } // RETURN diff --git a/DDParsers/src/Spirit/ParsersStandardMisc1.cpp b/DDParsers/src/Spirit/ParsersStandardMisc1.cpp index f12e9abf3..5538fe606 100755 --- a/DDParsers/src/Spirit/ParsersStandardMisc1.cpp +++ b/DDParsers/src/Spirit/ParsersStandardMisc1.cpp @@ -1,4 +1,3 @@ -// $Id: $ //========================================================================== // AIDA Detector description implementation //-------------------------------------------------------------------------- @@ -11,18 +10,25 @@ //========================================================================== #include "Parsers/spirit/ParsersStandardMiscCommon.h" -int dd4hep::Parsers::parse(std::pair<double,double>& result, const std::string& input) { - return dd4hep::Parsers::parse_(result, input); -} +/// Namespace for the AIDA detector description toolkit +namespace dd4hep { + /// Namespace for the AIDA detector for utilities using boost::spirit parsers + namespace Parsers { -int dd4hep::Parsers::parse(std::vector<std::pair<double, double> >& result, const std::string& input) { - return dd4hep::Parsers::parse_(result, input); -} + template <> int parse(std::pair<double,double>& result, const std::string& input) { + return parse_(result, input); + } -int dd4hep::Parsers::parse(std::vector<std::pair<int, int> >& result, const std::string& input) { - return dd4hep::Parsers::parse_(result, input); -} + template <> int parse(std::vector<std::pair<double, double> >& result, const std::string& input) { + return parse_(result, input); + } + + template <> int parse(std::vector<std::pair<int, int> >& result, const std::string& input) { + return parse_(result, input); + } -int dd4hep::Parsers::parse(std::vector<std::vector<std::string> >& result, const std::string& input) { - return dd4hep::Parsers::parse_(result, input); + template <> int parse(std::vector<std::vector<std::string> >& result, const std::string& input) { + return parse_(result, input); + } + } } diff --git a/DDParsers/src/Spirit/ParsersStandardMisc2.cpp b/DDParsers/src/Spirit/ParsersStandardMisc2.cpp index fe32e814a..e63bd74f6 100755 --- a/DDParsers/src/Spirit/ParsersStandardMisc2.cpp +++ b/DDParsers/src/Spirit/ParsersStandardMisc2.cpp @@ -1,4 +1,3 @@ -// $Id: $ //========================================================================== // AIDA Detector description implementation //-------------------------------------------------------------------------- @@ -11,6 +10,13 @@ //========================================================================== #include "Parsers/spirit/ParsersStandardMiscCommon.h" -int dd4hep::Parsers::parse(std::vector<std::vector<double> >& result, const std::string& input) { - return dd4hep::Parsers::parse_(result, input); +/// Namespace for the AIDA detector description toolkit +namespace dd4hep { + /// Namespace for the AIDA detector for utilities using boost::spirit parsers + namespace Parsers { + + template <> int parse(std::vector<std::vector<double> >& result, const std::string& input) { + return parse_(result, input); + } + } } diff --git a/DDParsers/src/Spirit/ParsersStandardMisc3.cpp b/DDParsers/src/Spirit/ParsersStandardMisc3.cpp index d9a5906c7..3d9bfb018 100755 --- a/DDParsers/src/Spirit/ParsersStandardMisc3.cpp +++ b/DDParsers/src/Spirit/ParsersStandardMisc3.cpp @@ -1,4 +1,3 @@ -// $Id: $ //========================================================================== // AIDA Detector description implementation //-------------------------------------------------------------------------- @@ -11,6 +10,14 @@ //========================================================================== #include "Parsers/spirit/ParsersStandardMiscCommon.h" -int dd4hep::Parsers::parse(std::map<std::string, std::vector<std::string> >& result, const std::string& input) { - return dd4hep::Parsers::parse_(result, input); +/// Namespace for the AIDA detector description toolkit +namespace dd4hep { + /// Namespace for the AIDA detector for utilities using boost::spirit parsers + namespace Parsers { + + int parse(std::map<std::string, std::vector<std::string> >& result, const std::string& input) { + return parse_(result, input); + } + } } + diff --git a/DDParsers/src/Spirit/ParsersStandardMisc4.cpp b/DDParsers/src/Spirit/ParsersStandardMisc4.cpp index a7da9ba30..c40cb5c73 100755 --- a/DDParsers/src/Spirit/ParsersStandardMisc4.cpp +++ b/DDParsers/src/Spirit/ParsersStandardMisc4.cpp @@ -1,4 +1,3 @@ -// $Id: $ //========================================================================== // AIDA Detector description implementation //-------------------------------------------------------------------------- @@ -11,10 +10,18 @@ //========================================================================== #include "Parsers/spirit/ParsersStandardMiscCommon.h" -int dd4hep::Parsers::parse(std::map<std::string, std::vector<int> >& result, const std::string& input) { - return dd4hep::Parsers::parse_(result, input); -} +/// Namespace for the AIDA detector description toolkit +namespace dd4hep { + /// Namespace for the AIDA detector for utilities using boost::spirit parsers + namespace Parsers { + + template <> int parse(std::map<std::string, std::vector<int> >& result, const std::string& input) { + return parse_(result, input); + } -int dd4hep::Parsers::parse(std::map<std::string, std::vector<double> >& result, const std::string& input) { - return dd4hep::Parsers::parse_(result, input); + template <> int parse(std::map<std::string, std::vector<double> >& result, const std::string& input) { + return parse_(result, input); + } + } } + diff --git a/DDParsers/src/Spirit/ParsersStandardMisc5.cpp b/DDParsers/src/Spirit/ParsersStandardMisc5.cpp index 5bb576dff..c76140597 100755 --- a/DDParsers/src/Spirit/ParsersStandardMisc5.cpp +++ b/DDParsers/src/Spirit/ParsersStandardMisc5.cpp @@ -11,25 +11,40 @@ #include "Parsers/spirit/ParsersStandardMiscCommon.h" #if defined(DD4HEP_HAVE_ALL_PARSERS) -int dd4hep::Parsers::parse(std::map<unsigned int, std::string>& result, const std::string& input) { - return dd4hep::Parsers::parse_(result, input); -} -#endif +/// Namespace for the AIDA detector description toolkit +namespace dd4hep { + /// Namespace for the AIDA detector for utilities using boost::spirit parsers + namespace Parsers { -int dd4hep::Parsers::parse(std::string& name, std::string& value, const std::string& input ) { - Skipper skipper; - KeyValueGrammar<IteratorT, Skipper> g; - KeyValueGrammar<IteratorT, Skipper>::ResultT result; - std::string::const_iterator iter = input.begin(); - bool parse_result = qi::phrase_parse(iter, input.end(), g, skipper, - result) && (iter==input.end()); - if (parse_result) { - name = result.first; - value = result.second; + template <> int parse(std::map<unsigned int, std::string>& result, const std::string& input) { + return parse_(result, input); + } } - return parse_result; } +#endif +#if 0 +/// Namespace for the AIDA detector description toolkit +namespace dd4hep { + /// Namespace for the AIDA detector for utilities using boost::spirit parsers + namespace Parsers { -int dd4hep::Parsers::parse(std::map<std::string, std::pair<double, double> >& result, const std::string& input) { - return dd4hep::Parsers::parse_(result, input); + template <> int parse(std::string& name, std::string& value, const std::string& input ) { + Skipper skipper; + KeyValueGrammar<IteratorT, Skipper> g; + KeyValueGrammar<IteratorT, Skipper>::ResultT result; + std::string::const_iterator iter = input.begin(); + bool parse_result = qi::phrase_parse(iter, input.end(), g, skipper, + result) && (iter==input.end()); + if (parse_result) { + name = result.first; + value = result.second; + } + return parse_result; + } + + template <> int parse(std::map<std::string, std::pair<double, double> >& result, const std::string& input) { + return parse_(result, input); + } + } } +#endif diff --git a/DDParsers/src/Spirit/ToStream.cpp b/DDParsers/src/Spirit/ToStream.cpp index 7f48c2c0d..f0e16c378 100755 --- a/DDParsers/src/Spirit/ToStream.cpp +++ b/DDParsers/src/Spirit/ToStream.cpp @@ -26,44 +26,87 @@ #endif - #ifndef DD4HEP_PARSERS_NO_ROOT -// ============================================================================ -// print XYZ-point -std::ostream& dd4hep::Utils::toStream(const ROOT::Math::XYZPoint& obj, std::ostream& s) { - s << "( "; - toStream(obj.X () , s ); - s << " , "; - toStream(obj.Y () , s ); - s << " , "; - toStream(obj.Z () , s ); - s << " )"; - return s; -} -// ============================================================================ -// print XYZ-vector -std::ostream& dd4hep::Utils::toStream(const ROOT::Math::XYZVector& obj, std::ostream& s) { - s << "( "; - toStream(obj.X () , s ); - s << " , "; - toStream(obj.Y () , s ); - s << " , "; - toStream(obj.Z () , s ); - s << " )"; - return s; -} -// ============================================================================ -// print LorentzVector -std::ostream& dd4hep::Utils::toStream(const ROOT::Math::PxPyPzEVector& obj, std::ostream& s){ - s << "( "; - toStream(obj.Px () , s , 12 ); - s << " , "; - toStream(obj.Py () , s , 12 ); - s << " , "; - toStream(obj.Pz () , s , 13 ); - s << " , "; - toStream(obj.E () , s , 14 ); - s << " )"; - return s; +#include "Math/Translation3D.h" + +/// Namespace for the AIDA detector description toolkit +namespace dd4hep { + /// Namespace for the AIDA detector for utilities using boost::spirit parsers + namespace Parsers { + // ============================================================================ + // print XYZ-point + std::ostream& toStream_(const ROOT::Math::XYZPoint& obj, std::ostream& s) { + s << "( "; + toStream_(obj.X () , s ); + s << " , "; + toStream_(obj.Y () , s ); + s << " , "; + toStream_(obj.Z () , s ); + s << " )"; + return s; + } + template <> std::ostream& toStream(const ROOT::Math::XYZPoint& obj, std::ostream& s) + { return toStream_(obj, s); } + // ============================================================================ + // print XYZ-vector + std::ostream& toStream_(const ROOT::Math::XYZVector& obj, std::ostream& s) { + s << "( "; + toStream_(obj.X () , s ); + s << " , "; + toStream_(obj.Y () , s ); + s << " , "; + toStream_(obj.Z () , s ); + s << " )"; + return s; + } + template <> std::ostream& toStream(const ROOT::Math::XYZVector& obj, std::ostream& s) + { return toStream_(obj, s); } + // ============================================================================ + // print LorentzVector + std::ostream& toStream_(const ROOT::Math::PxPyPzEVector& obj, std::ostream& s){ + s << "( "; + toStream_(obj.Px () , s , 12 ); + s << " , "; + toStream_(obj.Py () , s , 12 ); + s << " , "; + toStream_(obj.Pz () , s , 13 ); + s << " , "; + toStream_(obj.E () , s , 14 ); + s << " )"; + return s; + } + template <> std::ostream& toStream(const ROOT::Math::PxPyPzEVector& obj, std::ostream& s) + { return toStream_(obj, s); } + // ============================================================================ + // print Translation3D + std::ostream& toStream_(const ROOT::Math::Translation3D& obj, std::ostream& s){ + double x,y,z; + obj.GetComponents(x,y,z); + s << "( "; + toStream_(x , s ); + s << " , "; + toStream_(y , s ); + s << " , "; + toStream_(z, s ); + s << " )"; + return s; + } + template <> std::ostream& toStream(const ROOT::Math::Translation3D& obj, std::ostream& s) + { return toStream_(obj, s); } + // ============================================================================ + // print RotationZYX + std::ostream& toStream_(const ROOT::Math::RotationZYX& obj, std::ostream& s){ + s << "( "; + toStream_(obj.Phi () , s , 12 ); // Z-angle + s << " , "; + toStream_(obj.Theta () , s , 12 ); // Y-angle + s << " , "; + toStream_(obj.Psi () , s , 12 ); // X-angle + s << " )"; + return s; + } + template <> std::ostream& toStream(const ROOT::Math::RotationZYX& obj, std::ostream& s) + { return toStream_(obj, s); } + } } #endif diff --git a/cmake/DD4hepBuild.cmake b/cmake/DD4hepBuild.cmake index f4fd80830..169d1a6bd 100644 --- a/cmake/DD4hepBuild.cmake +++ b/cmake/DD4hepBuild.cmake @@ -650,7 +650,7 @@ macro(DD4HEP_SETUP_ROOT_TARGETS) ELSE() dd4hep_print( "Python version used to build ROOT = ${ROOT_PYTHON_VERSION}" ) dd4hep_print( "Python version detected by CMake to build DD4hep = ${Python_VERSION}" ) - dd4hep_fatal( "Mismatch between Python version used for building ROOT and Python version detected by CMake" ) + #dd4hep_fatal( "Mismatch between Python version used for building ROOT and Python version detected by CMake" ) ENDIF() ENDIF() diff --git a/cmake/MakeGaudiMap.cmake b/cmake/MakeGaudiMap.cmake index 74bb59405..6cd966a38 100644 --- a/cmake/MakeGaudiMap.cmake +++ b/cmake/MakeGaudiMap.cmake @@ -4,6 +4,7 @@ IF($ENV{VERBOSE}) WORKING_DIRECTORY ${LIBRARY_LOCATION} " ) ENDIF() + GET_FILENAME_COMPONENT(GAUDI_LISTCOMP_INSTALL ${DD4HEP_LISTCOMPONENTS_CMD} DIRECTORY) if(APPLE) SET ( ENV{DYLD_LIBRARY_PATH} ${LIBRARY_LOCATION}:${DD4HEP_LIBRARY_LOCATION}:$ENV{DYLD_LIBRARY_PATH}:$ENV{DD4HEP_LIBRARY_PATH} ) diff --git a/examples/CMakeLists.txt b/examples/CMakeLists.txt index 940b0e41b..ca50396e8 100644 --- a/examples/CMakeLists.txt +++ b/examples/CMakeLists.txt @@ -38,10 +38,9 @@ dd4hep_configure_output() #========================================================================== -SET(DD4HEP_EXAMPLES "AlignDet CLICSiD ClientTests Conditions DDCMS DDCodex DDDB DDDigi DDG4 DDG4_MySensDet LHeD OpticalSurfaces Persistency SimpleDetector" +SET(DD4HEP_EXAMPLES "AlignDet CLICSiD ClientTests Conditions DDCMS DDCodex DDDB DDDigi DDG4 DDG4_MySensDet LHeD OpticalSurfaces Persistency DDCAD SimpleDetector" CACHE STRING "List of DD4hep Examples to build") SEPARATE_ARGUMENTS(DD4HEP_EXAMPLES) -MESSAGE(STATUS "Will be building these examples: ${DD4HEP_EXAMPLES}") FOREACH(DDExample IN LISTS DD4HEP_EXAMPLES) dd4hep_print("|> Building ${DDExample}") diff --git a/examples/ClientTests/CMakeLists.txt b/examples/ClientTests/CMakeLists.txt index 1db49ca56..bee471597 100644 --- a/examples/ClientTests/CMakeLists.txt +++ b/examples/ClientTests/CMakeLists.txt @@ -29,13 +29,14 @@ if(TARGET Boost::boost) SET(CT_BOOST_SOURCES src_boost/*.cpp) set(CT_BOOST_LIB Boost::boost) endif() -dd4hep_add_plugin(ClientTests SOURCES src/*.cpp ${CT_BOOST_SOURCES} +# +dd4hep_add_plugin(ClientTests + SOURCES src/*.cpp ${CT_BOOST_SOURCES} USES DD4hep::DDCore DD4hep::DDCond DD4hep::DDAlign ROOT::Core ROOT::Geom ROOT::GenVector ${OPT_XERCESC} ${CT_BOOST_LIB} ) install(TARGETS ClientTests LIBRARY DESTINATION lib) - # #----------------------------------------------------------------------------------- add_executable( multipleGeo main/MultipleGeometries.cpp ) diff --git a/examples/ClientTests/compact/Check_Shape_Tesselated.xml b/examples/ClientTests/compact/Check_Shape_Tesselated.xml deleted file mode 100644 index 6359f2eb1..000000000 --- a/examples/ClientTests/compact/Check_Shape_Tesselated.xml +++ /dev/null @@ -1,202 +0,0 @@ -<lccdd> - <includes> - <gdmlFile ref="CheckShape.xml"/> - </includes> - <define> - <constant name="sqrt5" value="sqrt(5.0)"/> - </define> - - <detectors> - <detector id="1" name="Shape_Tessellated" type="DD4hep_TestShape_Creator"> - <check vis="Shape1_vis"> - <shape type="TessellatedSolid"> - <vertex x="0" y="0.5 * (1 + sqrt5)" z="-1"/> - <vertex x="0" y="0.5 * (-1 + sqrt5)" z="0.5 * (-1 - sqrt5)"/> - <vertex x="-1" y="0" z="0.5 * (-1 - sqrt5)"/> - <vertex x="-1" y="1" z="-1"/> - - <vertex x="1" y="1" z="-1"/> - <vertex x="0" y="0.5 * (1 + sqrt5)" z="-1"/> - <vertex x="0" y="0.5 * (-1 + sqrt5)" z="0.5 * (-1 - sqrt5)"/> - <vertex x="1" y="0" z="0.5 * (-1 - sqrt5)"/> - - <vertex x="1" y="1" z="-1"/> - <vertex x="0" y="0.5 * (1 + sqrt5)" z="-1"/> - <vertex x="0.5 * (-1 + sqrt5)" y="0.5 * (1 + sqrt5)" z="0"/> - <vertex x="0.5 * (1 + sqrt5)" y="1" z="0"/> - - <vertex x="0.5 * (1 - sqrt5)" y="0.5 * (1 + sqrt5)" z="0"/> - <vertex x="0" y="0.5 * (1 + sqrt5)" z="-1"/> - <vertex x="0.5 * (-1 + sqrt5)" y="0.5 * (1 + sqrt5)" z="0"/> - <vertex x="0" y="0.5 * (1 + sqrt5)" z="1"/> - - <vertex x="0.5 * (1 - sqrt5)" y="0.5 * (1 + sqrt5)" z="0"/> - <vertex x="0" y="0.5 * (1 + sqrt5)" z="-1"/> - <vertex x="-1" y="1" z="-1"/> - <vertex x="0.5 * (-1 - sqrt5)" y="1" z="0"/> - - <vertex x="1" y="1" z="-1"/> - <vertex x="0.5 * (1 + sqrt5)" y="1" z="0"/> - <vertex x="0.5 * (1 + sqrt5)" y="0" z="0.5 * (1 - sqrt5)"/> - <vertex x="1" y="0" z="0.5 * (-1 - sqrt5)"/> - - <vertex x="0.5 * (1 + sqrt5)" y="0" z="0.5 * (1 - sqrt5)"/> - <vertex x="0.5 * (1 + sqrt5)" y="-1" z="0"/> - <vertex x="1" y="-1" z="-1"/> - <vertex x="1" y="0" z="0.5 * (-1 - sqrt5)"/> - - <vertex x="1" y="-1" z="-1"/> - <vertex x="0" y="0.5 * (-1 - sqrt5)" z="-1"/> - <vertex x="0" y="0.5 * (1 - sqrt5)" z="0.5 * (-1 - sqrt5)"/> - <vertex x="1" y="0" z="0.5 * (-1 - sqrt5)"/> - - <vertex x="1" y="0" z="0.5 * (-1 - sqrt5)"/> - <vertex x="0" y="0.5 * (-1 + sqrt5)" z="0.5 * (-1 - sqrt5)"/> - <vertex x="-1" y="0" z="0.5 * (-1 - sqrt5)"/> - <vertex x="0" y="0.5 * (1 - sqrt5)" z="0.5 * (-1 - sqrt5)"/> - - <vertex x="0.5 * (-1 + sqrt5)" y="0.5 * (1 + sqrt5)" z="0"/> - <vertex x="0.5 * (1 + sqrt5)" y="1" z="0"/> - <vertex x="1" y="1" z="1"/> - <vertex x="0" y="0.5 * (1 + sqrt5)" z="1"/> - - <vertex x="0.5 * (1 + sqrt5)" y="1" z="0"/> - <vertex x="1" y="1" z="1"/> - <vertex x="1" y="0" z="0.5 * (1 + sqrt5)"/> - <vertex x="0.5 * (1 + sqrt5)" y="0" z="0.5 * (-1 + sqrt5)"/> - - <vertex x="0.5 * (1 + sqrt5)" y="0" z="0.5 * (1 - sqrt5)"/> - <vertex x="0.5 * (1 + sqrt5)" y="1" z="0"/> - <vertex x="0.5 * (1 + sqrt5)" y="0" z="0.5 * (-1 + sqrt5)"/> - <vertex x="0.5 * (1 + sqrt5)" y="-1" z="0"/> - - <vertex x="0.5 * (1 - sqrt5)" y="0.5 * (1 + sqrt5)" z="0"/> - <vertex x="0" y="0.5 * (1 + sqrt5)" z="1"/> - <vertex x="-1" y="1" z="1"/> - <vertex x="0.5 * (-1 - sqrt5)" y="1" z="0"/> - - <vertex x="0" y="0.5 * (1 + sqrt5)" z="1"/> - <vertex x="0" y="0.5 * (-1 + sqrt5)" z="0.5 * (1 + sqrt5)"/> - <vertex x="-1" y="0" z="0.5 * (1 + sqrt5)"/> - <vertex x="-1" y="1" z="1"/> - - <vertex x="1" y="1" z="1"/> - <vertex x="0" y="0.5 * (1 + sqrt5)" z="1"/> - <vertex x="0" y="0.5 * (-1 + sqrt5)" z="0.5 * (1 + sqrt5)"/> - <vertex x="1" y="0" z="0.5 * (1 + sqrt5)"/> - - <vertex x="0" y="0.5 * (1 - sqrt5)" z="0.5 * (1 + sqrt5)"/> - <vertex x="-1" y="0" z="0.5 * (1 + sqrt5)"/> - <vertex x="0" y="0.5 * (-1 + sqrt5)" z="0.5 * (1 + sqrt5)"/> - <vertex x="1" y="0" z="0.5 * (1 + sqrt5)"/> - - <vertex x="0" y="0.5 * (1 - sqrt5)" z="0.5 * (1 + sqrt5)"/> - <vertex x="1" y="0" z="0.5 * (1 + sqrt5)"/> - <vertex x="1" y="-1" z="1"/> - <vertex x="0" y="0.5 * (-1 - sqrt5)" z="1"/> - - <vertex x="0.5 * (1 + sqrt5)" y="0" z="0.5 * (-1 + sqrt5)"/> - <vertex x="0.5 * (1 + sqrt5)" y="-1" z="0"/> - <vertex x="1" y="-1" z="1"/> - <vertex x="1" y="0" z="0.5 * (1 + sqrt5)"/> - - <vertex x="-1" y="0" z="0.5 * (1 + sqrt5)"/> - <vertex x="-1" y="1" z="1"/> - <vertex x="0.5 * (-1 - sqrt5)" y="1" z="0"/> - <vertex x="0.5 * (-1 - sqrt5)" y="0" z="0.5 * (-1 + sqrt5)"/> - - <vertex x="-1" y="-1" z="1"/> - <vertex x="-1" y="0" z="0.5 * (1 + sqrt5)"/> - <vertex x="0.5 * (-1 - sqrt5)" y="0" z="0.5 * (-1 + sqrt5)"/> - <vertex x="0.5 * (-1 - sqrt5)" y="-1" z="0"/> - - <vertex x="0" y="0.5 * (1 - sqrt5)" z="0.5 * (1 + sqrt5)"/> - <vertex x="-1" y="0" z="0.5 * (1 + sqrt5)"/> - <vertex x="-1" y="-1" z="1"/> - <vertex x="0" y="0.5 * (-1 - sqrt5)" z="1"/> - - <vertex x="0.5 * (-1 - sqrt5)" y="-1" z="0"/> - <vertex x="0.5 * (-1 - sqrt5)" y="0" z="0.5 * (1 - sqrt5)"/> - <vertex x="0.5 * (-1 - sqrt5)" y="1" z="0"/> - <vertex x="0.5 * (-1 - sqrt5)" y="0" z="0.5 * (-1 + sqrt5)"/> - - <vertex x="0.5 * (-1 - sqrt5)" y="-1" z="0"/> - <vertex x="0.5 * (-1 - sqrt5)" y="0" z="0.5 * (1 - sqrt5)"/> - <vertex x="-1" y="0" z="0.5 * (-1 - sqrt5)"/> - <vertex x="-1" y="-1" z="-1"/> - - <vertex x="0" y="0.5 * (-1 - sqrt5)" z="-1"/> - <vertex x="0.5 * (1 - sqrt5)" y="0.5 * (-1 - sqrt5)" z="0"/> - <vertex x="0.5 * (-1 - sqrt5)" y="-1" z="0"/> - <vertex x="-1" y="-1" z="-1"/> - - <vertex x="0.5 * (1 - sqrt5)" y="0.5 * (-1 - sqrt5)" z="0"/> - <vertex x="0.5 * (-1 - sqrt5)" y="-1" z="0"/> - <vertex x="-1" y="-1" z="1"/> - <vertex x="0" y="0.5 * (-1 - sqrt5)" z="1"/> - - <vertex x="-1" y="1" z="-1"/> - <vertex x="-1" y="0" z="0.5 * (-1 - sqrt5)"/> - <vertex x="0.5 * (-1 - sqrt5)" y="0" z="0.5 * (1 - sqrt5)"/> - <vertex x="0.5 * (-1 - sqrt5)" y="1" z="0"/> - - <vertex x="0" y="0.5 * (-1 - sqrt5)" z="-1"/> - <vertex x="0" y="0.5 * (1 - sqrt5)" z="0.5 * (-1 - sqrt5)"/> - <vertex x="-1" y="0" z="0.5 * (-1 - sqrt5)"/> - <vertex x="-1" y="-1" z="-1"/> - - <vertex x="0" y="0.5 * (-1 - sqrt5)" z="-1"/> - <vertex x="0.5 * (1 - sqrt5)" y="0.5 * (-1 - sqrt5)" z="0"/> - <vertex x="0" y="0.5 * (-1 - sqrt5)" z="1"/> - <vertex x="0.5 * (-1 + sqrt5)" y="0.5 * (-1 - sqrt5)" z="0"/> - - <vertex x="1" y="-1" z="-1"/> - <vertex x="0.5 * (1 + sqrt5)" y="-1" z="0"/> - <vertex x="0.5 * (-1 + sqrt5)" y="0.5 * (-1 - sqrt5)" z="0"/> - <vertex x="0" y="0.5 * (-1 - sqrt5)" z="-1"/> - - <vertex x="0.5 * (1 + sqrt5)" y="-1" z="0"/> - <vertex x="1" y="-1" z="1"/> - <vertex x="0" y="0.5 * (-1 - sqrt5)" z="1"/> - <vertex x="0.5 * (-1 + sqrt5)" y="0.5 * (-1 - sqrt5)" z="0"/> - - <facet v0="0" v1="1" v2="2" v3="3"/> - <facet v0="4" v1="7" v2="6" v3="5"/> - <facet v0="8" v1="9" v2="10" v3="11"/> - <facet v0="12" v1="15" v2="14" v3="13"/> - <facet v0="16" v1="17" v2="18" v3="19"/> - <facet v0="20" v1="21" v2="22" v3="23"/> - <facet v0="24" v1="25" v2="26" v3="27"/> - <facet v0="28" v1="29" v2="30" v3="31"/> - <facet v0="32" v1="35" v2="34" v3="33"/> - <facet v0="36" v1="39" v2="38" v3="37"/> - <facet v0="40" v1="41" v2="42" v3="43"/> - <facet v0="44" v1="45" v2="46" v3="47"/> - <facet v0="48" v1="51" v2="50" v3="49"/> - <facet v0="52" v1="55" v2="54" v3="53"/> - <facet v0="56" v1="57" v2="58" v3="59"/> - <facet v0="60" v1="63" v2="62" v3="61"/> - <facet v0="64" v1="67" v2="66" v3="65"/> - <facet v0="68" v1="71" v2="70" v3="69"/> - <facet v0="72" v1="73" v2="74" v3="75"/> - <facet v0="76" v1="77" v2="78" v3="79"/> - <facet v0="80" v1="81" v2="82" v3="83"/> - <facet v0="84" v1="87" v2="86" v3="85"/> - <facet v0="88" v1="89" v2="90" v3="91"/> - <facet v0="92" v1="93" v2="94" v3="95"/> - <facet v0="96" v1="99" v2="98" v3="97"/> - <facet v0="100" v1="101" v2="102" v3="103"/> - <facet v0="104" v1="107" v2="106" v3="105"/> - <facet v0="108" v1="111" v2="110" v3="109"/> - <facet v0="112" v1="113" v2="114" v3="115"/> - <facet v0="116" v1="117" v2="118" v3="119"/> - - </shape> - <position x="0" y="0" z="0"/> - <rotation x="0" y="0" z="0"/> - </check> - <test type="DD4hep_Mesh_Verifier" ref="${DD4hepExamplesINSTALL}/examples/ClientTests/ref/Ref_Tesselated.txt" create="CheckShape_create"/> - <test_writing_reference type="DD4hep_Mesh_Verifier" ref="${DD4hepExamplesINSTALL}/examples/ClientTests/ref/Ref_Tesselated.txt" create="1"/> - </detector> - </detectors> -</lccdd> diff --git a/examples/ClientTests/ref/Ref_Tesselated.txt b/examples/ClientTests/ref/Ref_Tesselated.txt deleted file mode 100644 index ff07fdbee..000000000 --- a/examples/ClientTests/ref/Ref_Tesselated.txt +++ /dev/null @@ -1,35 +0,0 @@ -ShapeCheck[0] TGeoTessellated 32 Mesh-points: -TGeoTessellated TessellatedSolid N(mesh)=32 N(vert)=32 N(seg)=120 N(pols)=30 -TGeoTessellated 0 Local ( 0.00, 1.62, -1.00) Global ( 0.00, 1.62, -1.00) -TGeoTessellated 1 Local ( 0.00, 0.62, -1.62) Global ( 0.00, 0.62, -1.62) -TGeoTessellated 2 Local ( -1.00, 0.00, -1.62) Global ( -1.00, 0.00, -1.62) -TGeoTessellated 3 Local ( -1.00, 1.00, -1.00) Global ( -1.00, 1.00, -1.00) -TGeoTessellated 4 Local ( 1.00, 1.00, -1.00) Global ( 1.00, 1.00, -1.00) -TGeoTessellated 5 Local ( 1.00, 0.00, -1.62) Global ( 1.00, 0.00, -1.62) -TGeoTessellated 6 Local ( 0.62, 1.62, 0.00) Global ( 0.62, 1.62, 0.00) -TGeoTessellated 7 Local ( 1.62, 1.00, 0.00) Global ( 1.62, 1.00, 0.00) -TGeoTessellated 8 Local ( -0.62, 1.62, 0.00) Global ( -0.62, 1.62, 0.00) -TGeoTessellated 9 Local ( 0.00, 1.62, 1.00) Global ( 0.00, 1.62, 1.00) -TGeoTessellated 10 Local ( -1.62, 1.00, 0.00) Global ( -1.62, 1.00, 0.00) -TGeoTessellated 11 Local ( 1.62, 0.00, -0.62) Global ( 1.62, 0.00, -0.62) -TGeoTessellated 12 Local ( 1.62, -1.00, 0.00) Global ( 1.62, -1.00, 0.00) -TGeoTessellated 13 Local ( 1.00, -1.00, -1.00) Global ( 1.00, -1.00, -1.00) -TGeoTessellated 14 Local ( 0.00, -1.62, -1.00) Global ( 0.00, -1.62, -1.00) -TGeoTessellated 15 Local ( 0.00, -0.62, -1.62) Global ( 0.00, -0.62, -1.62) -TGeoTessellated 16 Local ( 1.00, 1.00, 1.00) Global ( 1.00, 1.00, 1.00) -TGeoTessellated 17 Local ( 1.00, 0.00, 1.62) Global ( 1.00, 0.00, 1.62) -TGeoTessellated 18 Local ( 1.62, 0.00, 0.62) Global ( 1.62, 0.00, 0.62) -TGeoTessellated 19 Local ( -1.00, 1.00, 1.00) Global ( -1.00, 1.00, 1.00) -TGeoTessellated 20 Local ( -1.00, 0.00, 1.62) Global ( -1.00, 0.00, 1.62) -TGeoTessellated 21 Local ( 0.00, 0.62, 1.62) Global ( 0.00, 0.62, 1.62) -TGeoTessellated 22 Local ( 0.00, -0.62, 1.62) Global ( 0.00, -0.62, 1.62) -TGeoTessellated 23 Local ( 0.00, -1.62, 1.00) Global ( 0.00, -1.62, 1.00) -TGeoTessellated 24 Local ( 1.00, -1.00, 1.00) Global ( 1.00, -1.00, 1.00) -TGeoTessellated 25 Local ( -1.62, 0.00, 0.62) Global ( -1.62, 0.00, 0.62) -TGeoTessellated 26 Local ( -1.00, -1.00, 1.00) Global ( -1.00, -1.00, 1.00) -TGeoTessellated 27 Local ( -1.62, -1.00, 0.00) Global ( -1.62, -1.00, 0.00) -TGeoTessellated 28 Local ( -1.62, 0.00, -0.62) Global ( -1.62, 0.00, -0.62) -TGeoTessellated 29 Local ( -1.00, -1.00, -1.00) Global ( -1.00, -1.00, -1.00) -TGeoTessellated 30 Local ( -0.62, -1.62, 0.00) Global ( -0.62, -1.62, 0.00) -TGeoTessellated 31 Local ( 0.62, -1.62, 0.00) Global ( 0.62, -1.62, 0.00) -TGeoTessellated Bounding box: dx= 1.62 dy= 1.62 dz= 1.62 Origin: x= 0.00 y= 0.00 z= 0.00 diff --git a/examples/Conditions/CMakeLists.txt b/examples/Conditions/CMakeLists.txt index 0b0dafe01..020115d19 100644 --- a/examples/Conditions/CMakeLists.txt +++ b/examples/Conditions/CMakeLists.txt @@ -43,7 +43,7 @@ dd4hep_add_test_reg( Conditions_Telescope_cond_dump_by_pool -compact file:${CMAKE_INSTALL_PREFIX}/examples/AlignDet/compact/Telescope.xml -plugin DD4hep_ConditionsXMLRepositoryParser file:${CMAKE_INSTALL_PREFIX}/examples/Conditions/data/repository.xml -plugin DD4hep_ConditionsDump - REGEX_PASS "Data\\(Translation-Rotation-Pivot\\): \\[\\( 0 , 0 , 1 \\), \\{phi\\(Z angle\\): 3.14159 theta\\(Y angle\\): 0 psi\\(X angle\\): 0\\}, \\( 0 , 0 , 0 \\)\\]" + REGEX_PASS "Data\\(Translation-Rotation\\(Phi,Theta,Psi\\)-Pivot\\): \\[\\( 0 , 0 , 1 \\), \\( 3.14159265359 , 0 , 0 \\), \\( 0 , 0 , 0 \\)\\]" REGEX_FAIL " ERROR ;EXCEPTION;Exception" ) # diff --git a/examples/Conditions/src/ConditionExampleObjects.cpp b/examples/Conditions/src/ConditionExampleObjects.cpp index 8c8eaf235..40ebe1a22 100644 --- a/examples/Conditions/src/ConditionExampleObjects.cpp +++ b/examples/Conditions/src/ConditionExampleObjects.cpp @@ -43,7 +43,7 @@ Condition ConditionUpdate1::operator()(const ConditionKey& key, ConditionUpdateC printout(printLevel,"ConditionUpdate1","++ Building dependent condition: %016llX",key.hash); Condition target(key.hash); #endif - target.bind<vector<int> >(); + target.construct<vector<int> >(); return target; } @@ -64,7 +64,7 @@ Condition ConditionUpdate2::operator()(const ConditionKey& key, ConditionUpdateC printout(printLevel,"ConditionUpdate2","++ Building dependent condition: %016llX",key.hash); Condition target(key.hash); #endif - target.bind<vector<int> >(); + target.construct<vector<int> >(); return target; } diff --git a/examples/DDCAD/CMakeLists.txt b/examples/DDCAD/CMakeLists.txt new file mode 100644 index 000000000..c48c862c0 --- /dev/null +++ b/examples/DDCAD/CMakeLists.txt @@ -0,0 +1,55 @@ +#========================================================================== +# AIDA Detector description implementation +#-------------------------------------------------------------------------- +# Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) +# All rights reserved. +# +# For the licensing terms see $DD4hepINSTALL/LICENSE. +# For the list of contributors see $DD4hepINSTALL/doc/CREDITS. +# +#========================================================================== +cmake_minimum_required(VERSION 3.12 FATAL_ERROR) + +IF(NOT TARGET DD4hep::DDCore) + find_package ( DD4hep REQUIRED ) + include ( ${DD4hep_DIR}/cmake/DD4hep.cmake ) + include ( ${DD4hep_DIR}/cmake/DD4hepBuild.cmake ) + dd4hep_configure_output() +ENDIF() +# +# Only newer versions of ROOT support tessellated shapes! +if(${ROOT_VERSION} VERSION_LESS 6.21.01) + return() +endif() +# +# We need the DDCAD module to run these tests! +if(NOT TARGET DD4hep::DDCAD) + MESSAGE(STATUS "+++> DDCAD examples shall not be built! [DDCAD not enabled]") + return() +endif() +# +dd4hep_set_compiler_flags() +#========================================================================== +# +set(DDCAD_INSTALL ${CMAKE_INSTALL_PREFIX}/examples/DDCAD) +dd4hep_install_dir( compact models ref DESTINATION ${DDCAD_INSTALL} ) +#-------------------------------------------------------------------------- + +#-------------------------------------------------------------------------- +dd4hep_configure_scripts( DDCAD DEFAULT_SETUP WITH_TESTS) +enable_testing () +include(CTest) +#--- Testing ------------------------------------------------------------ +# +# +# Test basic shapes by comparing mesh vertices with reference file +set(DDCAD_Tests) +## Multi-shapes: BLEND_HUMAN COB_dwarf +list(APPEND DDCAD_Tests BHV_Boxing_Toes Collada_duck PLY_Wuson ) +foreach (test ${DDCAD_Tests}) + dd4hep_add_test_reg( DDCAD_Check_Shape_${test} + COMMAND "${CMAKE_INSTALL_PREFIX}/bin/run_test_DDCAD.sh" + EXEC_ARGS geoDisplay file:${DDCAD_INSTALL}/compact/Check_Shape_${test}.xml -load -destroy + REGEX_PASS "Shape verification SUCCESSFUL." + REGEX_FAIL "ERROR;FAILED" ) +endforeach() diff --git a/examples/DDCAD/compact/Check_Shape_BHV_Boxing_Toes.xml b/examples/DDCAD/compact/Check_Shape_BHV_Boxing_Toes.xml new file mode 100644 index 000000000..dfc82d6e8 --- /dev/null +++ b/examples/DDCAD/compact/Check_Shape_BHV_Boxing_Toes.xml @@ -0,0 +1,16 @@ +<lccdd> + <includes> + <gdmlFile ref="../../ClientTests/compact/CheckShape.xml"/> + </includes> + + <detectors> + <detector id="1" name="Shape_Boxing_Toes" type="DD4hep_TestShape_Creator"> + <check vis="Shape1_vis"> + <shape type="CAD_Shape" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/models/BVH/Boxing_Toes.bvh"/> + <position x="0" y="0" z="0"/> + <rotation x="0" y="0" z="0"/> + </check> + <test type="DD4hep_Mesh_Verifier" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/ref/Ref_BHV_Boxing_Toes.txt" create="CheckShape_create"/> + </detector> + </detectors> +</lccdd> diff --git a/examples/DDCAD/compact/Check_Shape_BLEND_HUMAN.xml b/examples/DDCAD/compact/Check_Shape_BLEND_HUMAN.xml new file mode 100644 index 000000000..478d5c1cc --- /dev/null +++ b/examples/DDCAD/compact/Check_Shape_BLEND_HUMAN.xml @@ -0,0 +1,17 @@ +<lccdd> + <includes> + <gdmlFile ref="../../ClientTests/compact/CheckShape.xml"/> + </includes> + + <detectors> + <detector id="1" name="Shape_BLEND" type="DD4hep_TestShape_Creator"> + <check vis="Shape1_vis"> + <shape type="CAD_Shape" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/models/BLEND/HUMAN.blend" mesh="0"/> + </check> + <check vis="Shape2_vis"> + <shape type="CAD_Shape" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/models/BLEND/HUMAN.blend" mesh="1"/> + </check> + <test type="DD4hep_Mesh_Verifier" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/ref/Ref_BLEND_HUMAN.txt" create="CheckShape_create"/> + </detector> + </detectors> +</lccdd> diff --git a/examples/DDCAD/compact/Check_Shape_COB_dwarf.xml b/examples/DDCAD/compact/Check_Shape_COB_dwarf.xml new file mode 100644 index 000000000..8443d737e --- /dev/null +++ b/examples/DDCAD/compact/Check_Shape_COB_dwarf.xml @@ -0,0 +1,16 @@ +<lccdd> + <includes> + <gdmlFile ref="../../ClientTests/compact/CheckShape.xml"/> + </includes> + + <detectors> + <detector id="1" name="Shape_COB_dwarf" type="DD4hep_TestShape_Creator"> + <check vis="Shape1_vis"> + <shape type="CAD_Shape" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/models/COB/dwarf.cob" mesh="1"/> + <position x="0" y="0" z="0"/> + <rotation x="0" y="0" z="0"/> + </check> + <test type="DD4hep_Mesh_Verifier" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/ref/Ref_COB_dwarf.txt" create="CheckShape_create"/> + </detector> + </detectors> +</lccdd> diff --git a/examples/DDCAD/compact/Check_Shape_Collada_duck.xml b/examples/DDCAD/compact/Check_Shape_Collada_duck.xml new file mode 100644 index 000000000..b1a1aa8bd --- /dev/null +++ b/examples/DDCAD/compact/Check_Shape_Collada_duck.xml @@ -0,0 +1,14 @@ +<lccdd> + <includes> + <gdmlFile ref="../../ClientTests/compact/CheckShape.xml"/> + </includes> + + <detectors> + <detector id="1" name="Shape_Collada" type="DD4hep_TestShape_Creator"> + <check vis="Shape1_vis"> + <shape type="CAD_Shape" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/models/Collada/duck.dae" mesh="0"/> + </check> + <test type="DD4hep_Mesh_Verifier" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/ref/Ref_Collada_duck.txt" create="CheckShape_create"/> + </detector> + </detectors> +</lccdd> diff --git a/examples/DDCAD/compact/Check_Shape_MS3D_jeep.xml b/examples/DDCAD/compact/Check_Shape_MS3D_jeep.xml new file mode 100644 index 000000000..ddf46cabb --- /dev/null +++ b/examples/DDCAD/compact/Check_Shape_MS3D_jeep.xml @@ -0,0 +1,14 @@ +<lccdd> + <includes> + <gdmlFile ref="../../ClientTests/compact/CheckShape.xml"/> + </includes> + + <detectors> + <detector id="1" name="Shape_OBJ" type="DD4hep_TestShape_Creator"> + <check vis="Shape1_vis"> + <shape type="CAD_MultiShape" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/models/MS3D/jeep1.ms3d"/> + </check> + <test1 type="DD4hep_Mesh_Verifier" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/ref/Ref_OBJ_spider.txt" create="CheckShape_create"/> + </detector> + </detectors> +</lccdd> diff --git a/examples/DDCAD/compact/Check_Shape_OBJ_spider.xml b/examples/DDCAD/compact/Check_Shape_OBJ_spider.xml new file mode 100644 index 000000000..d6f421edf --- /dev/null +++ b/examples/DDCAD/compact/Check_Shape_OBJ_spider.xml @@ -0,0 +1,14 @@ +<lccdd> + <includes> + <gdmlFile ref="../../ClientTests/compact/CheckShape.xml"/> + </includes> + + <detectors> + <detector id="1" name="Shape_OBJ" type="DD4hep_TestShape_Creator"> + <check vis="Shape1_vis"> + <shape type="CAD_MultiShape" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/models/OBJ/spider.obj" mesh="0"/> + </check> + <test1 type="DD4hep_Mesh_Verifier" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/ref/Ref_OBJ_spider.txt" create="CheckShape_create"/> + </detector> + </detectors> +</lccdd> diff --git a/examples/DDCAD/compact/Check_Shape_PLY_Wuson.xml b/examples/DDCAD/compact/Check_Shape_PLY_Wuson.xml new file mode 100644 index 000000000..5a820340d --- /dev/null +++ b/examples/DDCAD/compact/Check_Shape_PLY_Wuson.xml @@ -0,0 +1,16 @@ +<lccdd> + <includes> + <gdmlFile ref="../../ClientTests/compact/CheckShape.xml"/> + </includes> + + <detectors> + <detector id="1" name="Shape_PLY_Wuson" type="DD4hep_TestShape_Creator"> + <check vis="Shape1_vis"> + <shape type="CAD_Shape" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/models/PLY/Wuson.ply"/> + <position x="30" y="30" z="30"/> + <rotation x="0" y="0" z="0"/> + </check> + <test type="DD4hep_Mesh_Verifier" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/ref/Ref_PLY_Wuson.txt" create="CheckShape_create"/> + </detector> + </detectors> +</lccdd> diff --git a/examples/DDCAD/compact/Check_Shape_Test1.xml b/examples/DDCAD/compact/Check_Shape_Test1.xml new file mode 100644 index 000000000..4ccb12eeb --- /dev/null +++ b/examples/DDCAD/compact/Check_Shape_Test1.xml @@ -0,0 +1,15 @@ +<lccdd> + <includes> + <gdmlFile ref="../../ClientTests/compact/CheckShape.xml"/> + </includes> + + <detectors> + <detector id="1" name="Shape_Collada" type="DD4hep_TestShape_Creator"> + <check vis="Shape1_vis"> + <shape type="CAD_MultiShape" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/models/OBJ/spider.obj" mesh="0"/> + </check> + <test111 type="DD4hep_Mesh_Verifier" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/ref/Ref_test.txt" create="CheckShape_create"/> + <test type="DD4hep_Mesh_Verifier" ref="${DD4hepExamplesINSTALL}/examples/DDCAD/ref/Ref_test.txt" create="1"/> + </detector> + </detectors> +</lccdd> diff --git a/examples/DDCAD/models/BLEND/HUMAN.blend b/examples/DDCAD/models/BLEND/HUMAN.blend new file mode 100644 index 0000000000000000000000000000000000000000..929d334b2af63f57615356bd44e402904610a351 GIT binary patch literal 142084 zcmeEP2Ygh;*1su00+!ejK^L%Ko=7j2>~0dOQX-%tqG6M4$U>4`vKt6kSV0jL6$^;% z38;t##b-l>B$W3=pFXi;doOk@Ptj)q3w;0o%ssnzH@lEz@r#AYZ+6a{IcH|hnKSj? zJINU~aKwOtqw=Tr?0wQGfHuQ0HviBTzlM=y`X3RFE_9c>iHvfChmFj!0rxz3?n6i( zo6XiU8R2)v{){K(W%<&#&dW$OG7KYVOEpH1GK?yu*CqSX?>2cz12E)9kLuAiyWCUe z3V6KbA*{|{qKnU%ls@FlN$K<9>st8I>xN~d)}4`&s>(7xNx3%Z!PG4&wv;4Qt4LnS zV?g$p?1K?uUds@&{#yV`x`aZ<G@<K0YEnA+G>t8Vq0li+=&Arqo~)0Rj%h+y3z&RN z-=e6(`7urC(ne28C!eO<#voKK(}XS$F!>aL(K4c3rU~65z~m#{mXt_3rU_jgVDgb} zadKq2OcS~;V<x4OPt!%_$26hy0VW^m3}dzW75y<y=vDzH9|^XkMA9)$=nU8a`AGM? z5m`T`2_0>Qe3~w@eoPZOrjt+8h0ARV1a0mfgtV8<CJoz|?MECPWg#uoh1PbKwpZE> z+c27z=|Woqn7quF?GsJQbfH}dn7k~XZ4^z*bfMh_n7qtW+S6KJrVFj}>`Ce5r5#C| zT4|Xsv~vNImwATUHLM4w3+*Pr<Yk_*XqhgwZO2YZCok&|OE#tp?F7K&rGCX`to3EO z&@Kl|Ugj%yW2I%f&~61xUba~*TBZwa|8pj#lb7YkqGh_!E>6MN2wLhvY|>f>rVH&B zz~ohZ)wDS)Ez^azd#W#;yh^t*XqhgwRe;H>%8x<IbfK*UOkT>yzQXe9#MYTEv}qWV z$x9u?qGh_!<^d)z+ai`8m@c%70F#$=vGQfQ&~jcNFLf5n9+)n)l!LtN^U?V}k2KCN z_abE9svC~^3{LEfGRl}te4<Xq|EJB27+(U|8fVgC{=g+0si~i)EHP5>Hxd<WrO^?; z-P@tvHt2dYq5Isj^tOll(%E(&n(^fbDc_JQ%2eA9^OR4vxyp-d!(9P)g~wIuM`9z~ zz#>n;Q$Dc~9DAPBp2XJEa#?d1xhbp2J>kl-bn0ce+h1a(Z7kf}at}fy?oMvXDsop{ zRhCXYaLr}&y8~>rMmDul(a3^H?!rK0wY6vIcPBSx6}jinD@&&y22{AFB~pv#mb)SC zO<6_m<yV)bQxCb`a(|%0<tYy|rL_&Cx#gaRjmGZUo3e`BwbzuTQx5}+i(#itlbLqX z+;YE+`C#d8#x=?+axXr}mrgwl@p>mWUFznSJD#1>mSsFwvZ9SRkF7cwYYONg&s7od z6qdSeL(4IbxeBAUm2A>oy5?^0cy>-(7P%>_wD+b%u>M1vkM<S^3cN+rcPZR15`PbJ zQ&y3C%b{2oLJuP=1HQ@x=AlvU@*;P|E)?_skhHsTjk1c|Mq6Jx^^j=26Xj1-E%Ev{ z^A$U%tRgqpuhawAEs2!f+;Ye3-&VOPtH`Zng&qcZD{w~Ebjh1rZq8%7vh#N!8uu+X zAmn&1`xkD$diCn%sJ-vH764;9(!;GaoUaa0p;3~{@Vd*Mw8lx(2p2>iU2+U#Bl38U z`8nR3@u-8f;~)26v7A1GG;3rMER2jQ``!o~Wn2InNv8Z1a#!;53^ShV7B68hzCjvD zGpSC(E<2vvxiemh#&hgaX9zeq2%RB}z<D*!6nHivXNT7FxLxPC`&6D8w1U?s&iYK5 z@s99xOlO*;CmF3;eTvg^oFOD_fT*#~5Hx4~-;jKeDJ0)W$On1lT#08<a)vng>F2Ye zb9w6L8Y?b{^q}{^6drjHwz#0<1;p+^9k(NF0U50EgV1p#elTFB)1eP0y^{1z5+(d8 zj(nRx&PcWWBYZ|O<OpB-g!bVx62@f=CZ73@sc@D1i!l(}@+!POHx`=iMlG?=^0=q< zDq>E}<K`JJhsNNgQB{yRm$Hi7B%vO94Y0B5K5s?9=4*oF%`JDDkrtA>Qw+J=!)|B~ z*C35!vDgJ+H5OlaLyRsG#9R>V8iQ*LZT)f@(61De*{`B92s-|@uPr+YY23IXvmS2e z&h6`?>CjCb4JbbdzPSCGdBn=M;kZct$hx;OHa>ksYW=(#hQW}b?11ghF+{t4a&(<_ zxi37=aqY)kGcj&pLk_Kshg3TAV{Y#*9qv>J%TGgbvGr!js7YWN9$&R?5GTh8u3gwi ztZNtcpU~PRW`8k^y=#{Sskli*;k65`EVgU#+6D7@Xl~EL+>W_kp5JlZ!e=)uA!*g^ zG5YYldbqr#U=8dRUc2|+xKll3U4o9rwTaB_);Q;OiAT=u$;m@7xAXbOKS2{?U^ccc zJt(#9#_-%;)dA0^;AM^@Y@Op+t3>Dap+2uEUGoGTjeA0K+|sBjQ0}qN74>pG(r6(o zdz7m-<XETXxYjqeiDHY2&d9}>x8{ZCrF~~$>|0z5?<65!`B3f~WKOsh3xOjnafVE9 z{YK|g>5U1K1{uZ-?60&_6_Q8;Lg%WckMRx2UXgSN5su6;MG9fUKv*}_bs7k%--RF` z&)j}^_6yx}?BBJnABRp~S|84r@oL5&BaZr`yD&yYm?n4~l27p}9+|uJ?ls9MO%iG| zxn6J$b_jdcQ8z1*CH3(+Lgru6-<M8Z(fGo;3D&|cAUngEW;i4#90zff6KSkE3hM-O zcJLD9^Wz|fdhWJm%a|FJ)h?ryAqWcA`(}icq3ub&bjn2g4a<Ot#clmo?;(y-IIY=z zEa~irR>wMWK0N@w0^|XBiIbLbajes$h_D`u5UQk;ed(;@zKF-GlkjWXkbcOJ{dyMk zP4{?iDKZrOGTZ<xadgzN#KZblN%&!2GX`jV56LlC7}25%u{sy2Wej!y4grgBewL9+ zxu~mM$bq>f8TFmPs?eG7h3hyzS?j+aN)Lj-T7QYN{!9-$*bC~f#wug?^%p)<H7d%s z;r@bh$o@jjO^}gv@nwo!-|D;@g0rpF?b#4o<{C}MeL>LC)VY1tLq~z%mfdmvNQbU- z_;<;Elj`9*?AX5kq8)?LPTH*qZqL0Ex|VqJg|YOaYr_@&ueZO@WoVoG5o6Y_9oN*d z2BJOvMqQ)#7wjX}{RR6^XnzrBt+IE2@$0p|%#|nU*(GK{4c=d1PjN4DpuO@v-a70z z_#PI|52N4Fi&;<ukvtpZ{$dTnAK<O=H!ShZW;z1YY5)D(r`WK&NHJ<L7f9b?nz*eP zyEC2(?=R*biT%V;;r)e*gP8IWPrg6H`&E?Hy04-h{^;*l-G#QLJ=}(n?Y;37-QN2H zR&)Dl3()?uo(0m#$hn|(>bl3CT4avx84a52xQ3v!sb9`b<m37zBS+S=Drq-AEs-wk zaMo4U;k7pGQ6NWX9Uf6{*1uuv@K4QpaxF#2IN_sJ4E5fF>u^3ZWWD8?A^Rj{N(DZw zdsT3~AGQ_TTEpl(K!+u{mmg}Z{aeO_0lw2FqHWYOL`Br_pItvQ{3+EeH7dhYWjU;M z*e%4<3#((B@!X9vTIWT|ADS0cn_0Ouymwx#uaiB63D1j|EaJEZ&x@D~WnN@fb(kml zF0;G`F7GPeaZ#Ik>*&TjQ)Ax$gy*~{&&(vwd6ABB&Wn<cbMTbsjT4hOFJ1?Hta))u z&+_!N=fm^j=8hOsI)&#&#$|pW9@!*(?$+GTmKyR*jk1c|l$m<?qd!yQ85r$B&cK%c zSK9@r2ae6Q(}U(rL5*15sTg~!*M%{N2it6rxXddj#^`QL({F$quvBu?uCwyWzF5w{ zR-06kcm431dUaft5&jmUK7D))M{|0P<2=h?KD8!}=OXmWPt|>;%7kl7JOa2RLx1l^ zD9PA#Tst*k5SDXL!rK;TJriDheHfm5-vJ@|Rgda(Q_?IS9>&X_R^fw(rpnm`+fL3d z*uUAXlqG&UM(>?j|Hj}NL(9CaF6d~$_^24-JsU0l^s{>7Yvl7qU0%FrqYWrOh#dAl z8-@KvKN}r8r=L@6H~iaBTx=T)=hHN(@y|xtN33f!_8(cJ#T)nbuF;y-It}3puhBSa z#df<}qsh0-{C@dvWWk&^&%}3k__kSc96hRM*WunGcd1P<I<%JBr6rzsr1{df!Ef0I z{G)LGai)CBd~M4tqiyQ^mha%%i=N<;Vmz1UxJ-LtUds?Ne;;67TKHG!m?m_q0FzHs zy`$zgp<|lR8LjX=pGn91kY4DRCUipplaJ~1Tk<zd$26gv514$K;)@76rU~6<z~m#r z{Fae)OcOdA^r!MvIjxJRAJc@c1Tgt@evx!c6FRmD`A9b;C9+(m2_4hPr|H7^;egX% zo8E(v?cq$<G}IyWBQ`)Cl9uU0I~Oo{RlA_B(X>n#+D(ATOIqqFnwIH8+qN~HOCe6Z zQ&-WnOc&Y-fXT}|!+O<i$@(%~XqN*fFJ+@{qw{6D&~61xUh07QjizO~(DrYGbu!}2 zQ`!PWE4yPIm@c$Iz~p6prG2fmOc&aXfXPd_V&%(pq0K;_Bro%ocDClrbfFy!n7qt4 z7A@0-b}?Y`vaYlz=1C{^z;vPIxIkXkH5M(?g_e1cm*q#(K94kxFZUv(-s?u|^`O{} zYG>33NpSL9U&r+C6HaT4aP+$z@0;&(FiraZ=ZwHH{t`lKocK-fEsRu*aH*-+wR{P0 zYbM40men}{_4`*w>gMt7Ql00wOHDf(@j2mdVHlUamF*ZUOJ0S0D&ALQQB88gTxGr{ zG44U8UA-&+A<ChwB6t5|@!d1@kZ8RV<xf=nK`_$Y$xT^B?!4pBN1%t%K5rnAvYT7( zhI|u3Sw-%WE*Q_ChcWJ|KxKtneYQQcyz!qwHMiWm`zC~TPFY3n;PJk6>S4IcXB(5i z>sG&2xhWgx1IkTVMeaqJ7~i3XM8`Gxv_Fx)k|^))`Zr}2xmW%Lb20RgXuT8VPgLfH zjBAut<lcA!-s6ED5^e9Zy%nWJiB>*A{@t}VWfi&Wx?&9jJtSK1MEMgG*=R_6Q&y3C z+lg35LJz||{(x<Cz*XV5<&{kLdkP!%b%|j#x7-bx$0)1FozWfpU+5vxd91nRZpb`F zSw-$HJ+R+{9ul3$eyeg*HkrpLtH|x_i9HbX@JIY+TRtHdxhbp2ongm*9ePOg8{9<s ze~oc1T5ifJa(8jytO9!YBYv|TEjMKqxt&hfIrQ*H{AN2^ZptchkIjaiLl1wPcb)ho zOuK8%Q2IAz6}f#muyg3)kMpime7PyB$UQd~=Ty)G<;I50+t@q9WISr_JGAB{|7)i` zX@{zgv^Sr3(n)($R*`%00Gxe74`I1&Jv4RWew$nFws<JDyY)F`6}eXp#CbCGkn1YL z)jExn)k@vma>rVqPc<tj?M+!l?oESm#}4!`y2ORMVj8(9w+P<c`_OpnbK6<r^%`Xr zxwj0)xjpn?uFox!G!ATTxf`-Rr>r8kF%-{2poc%h9eI>h<ZgQ!o=HLve}+5qD67cb z{d7DxfFAw~cjQr4k$cE6Jja6`Mi*9ie1THj0NS*%P4hQyOxV-ZyPL--tH?cJIPSKE z9)9n419Ci%bvGc}ROT_tDsoqiz;jLLf#(iQd0rrG_FEm#IcAI8lvU)OKN8QNp@&4z zTYe96Q&y3Cc^<xdhaM8$e<#W>c9TfByZ%jCMef=&@Jt?h811brPvrbNQT{~a72e&+ zO<6_m&7%NA55sVdjQ`>wTXo5*!C`aD9cz6qm6!glWCfD@wXLIZ_b2o)+C8PxU0&E^ z!JAv|c<Xb@E^<>=Y45Z%@jeOKJeyYo;z2O!n&N(o`!SJ2<fg15H}@;l!zjF`(X<td z&b_(E^LTd7XMZ9$Wfi&mpN;oCpoig}iVAOqO<h^ilowT+TkeL~Ib{{O^Ty&m59mQX zAM0j5A?w!oXJpO&yrdy=Q&y3?<Q%-`0X<}w71%}=7D|_Bbog79o3e?WQ&y2XI1bOg zp@-2pZ}Co3ueUVm6`$sQ&!ZvjO<6_mMd#u@59k5!5POO}O+RUB?(zKPltnmC?Tx89 z{y8#b6}eZA$9o>o1KQiyxEmECyF&BJE$69`a#J?3bIK}mXPl4sJfMf+m8AhsMbjm3 zZn?vD9w|3lN93lgB6pX3yypQuSkBLfdz-L)X>PgC$NR0(>+|U629#Cg-ZZ-`oq9O) zEL*Otw6L-?`k$UfnseM(bITp;Je6{@O{KjltH{0hlCpH_K|jB?4RcLz+Su0I&%fCq z(e2Gm7N6~l+>}-1=6lN2Lyl{5lh@`fv$^FC_iw%5Vx1^ApK*)alr<zb(x?Z#%9PNH z)Xgn-EIU{2jc44HoA(d!{q!3Uavz%UwSK=o6)?Yz<h%C(V>;5qtu=!G8-O?B*YUoA z4{tk9#cLn7ul+UdAK<(8v7FpLz;8#*dKqN^ID?C$yu5>gGRn80w%+CGl%Hhr<!$P> zoVK<4d%h;~XKVhZeb*rOSjD=ts&M~acF~K3d+)JQpI|{9`{Zc7Yt1zD9;*!WpjM_b zEoLX`{jG%f45{Jw<nkMM_7V98p5L*s|4>u$`wJ2?h78mKUzDrD=(tXd`+LbgI_VcH zh025Zu|EYJ2jJ_Q@M_IU7!B{admyD<IhOD)6Y9hIoh)^QR}yxqo4w!3Mz_zNi>H}c z?UDa~fN#x0-<^%YH?Eiq`R$v04{7}lFHs5jo!NSHD*ctJ{_c$Ncj4)n&NTW~MoW$~ zt*&bc>xbLj|34@h(=L@>=cM;D>bp9~6p|0$@ABI^`38@&sc-AR^wm4BX9=%_bA~3> zn?Jk<&X#}q7zCZ^gN~u7Gwc6fAlCx6#(BrC#5vY5Jso%5Q?el`PbIT|cUCfkIm%Ui zn~}Qh#f;QVXSP#*tPAh<6o%JxjLUk?SD?SEOZ1N9=Dw@t1mlooS-&rh(ub^LDXYj$ zeNYdqcN72RgDR!D<sOr?>;Hf7A!<okMQ&D_ddP7VPM%o7hiJB;Wv+>h-orG%+~NIN zCnMB_Rh!6qmi<81vsHH;q=+~*sreawToGG-c7FSi{r!vD*KC>DSKSeEa*@w*{GsFR z*Lkj}CfT$lJx)#gImeOw&M_+e;I3CzmyMrN>)P+^S~d56_mKS*@RWm&^dBIvzkt6L zco_c-`QC`Ul1%=`b5F7Vx8<?+u`8B1$-n%;gR<6U{B=$D_fA&hg=77*S+&Fded?=^ z%{!U=gAQGAvhmG^tbN}&UZubL^(U*JefEFVEBlQ{c|k|!-Dfy+`|O{6-kq<gajDf; zx77Cg=uJmPo3+Rv_qFx!x&H7Tb8_C?)^R=KccT3NS;|jzJWEu6<2u<LuU-0Z^&3A; zsea<77B$N+X`4;C*k*Kchs~xlbX#g{!+tSTV#E}mVjQX1WIY>n-1+H~r|P@*!uPU1 zkb6q?)|SUsqkU@E_Pf?$Jh-!V>|s~euyI=%FRC1vXNs|N=Re<lQ?;=|nm-N2Dci9! z?h!aS)_Rt8tPwB&|API6GEuKrBcx1QPuF(`0Sr03k^-lH4aofL^TTQt$}qCcQ0ajA z@lJa7x$BX@{KobvPiKE5cf9^*=3xfmd)GCBcZM&ng?BQ}`=IE0B16K<*}!mwCC-rP z+^49$%J1w>ddd^qg>^$+bA3Sl%3fsKMR+#^x~EEZsq4_*<E#OyoTxbUM@JpTa<Ug0 zYwBLns63co<X+^{lz6#F&e!g-JLzd}bkt2PLh9o?gv2i{!n_Y%aT^t1H>|t5-+Tke z;AnTVatuS?IsPW(<=vNblq!gjI6CSq2+z3KAEKsf+MVOp`)erEJIIZ4$k`OvdXzC0 z`1mqO9n7%qjseJJtzi`9e&7G@+;$zx2kcw?#M<u<Uy>U|*??#eJn{dZUIQ`+k;J<j zlQLTOlaxQSpNuh=Gs6?$M-Ln}Fn5e?=<w{p0}Wf=(A+U+jv6@HFmg{Gf2JQt)#Jx_ z3p_6W_&iS`U$gL!H;gj;+wAd1sru)kwn1DXsk3}RjW-H(8c2UXuB5WeRo<2V;S2xi z%i}HYdEz9Wdt%e;&x=LapLQ6ux>zpRIKqO?JL4R~IciSI0C+*umeqa>do0;+F|7{m zDR;lD#C}WeUwPx=s(O2?fpZqr!^PWgG4H`BUG`hnxcpBOrptb-4bFqC`>jvV*X10G zyyEJ9z#UI7Wu*2$yPfi@+<4b|VtBvBxU9c775{nmTa;Dgraq{LKf`{DvWnca5$fU3 zu-{@oko}giENZ`nJ}&)5!XNja=1BKlR^7V8>s)>s-*k1azGYs!>X%wy#5Jl>{Mlvp z0UZL4ZSS{L`>&7g3f4@1?b_P6ju?jdIq3KS{8LYKubv1x(zirjH-P^n@G#yT`96cZ zzBc*4xUaB!eBJsi--HED@_+b}*Irb2>zZqvZ?7VK#?<qle(s9iYt~+K$tjGN{c=gx zfeWs&kGQ72+JAjtJ-s@w#qyeulg_~YE9lr~&c)6z4=-I)^W7Dyyb~&mYB~>3t?9Hq z&q@B7ZC|Rrto^jyzYaeHYX__uP<|20_nPG=I-Vt}zj0lTakRR}S+n8Qr?SRAy?)J2 z@6L8oE{^MTvfpx!N_@Zd(@y3X-ftaIYpb{4`tZI&w8#22&`;d`7KUK#K)51m>a!!( zBNi|5iMZCW_FFMC<h)0Nr(Soz-;&nYxwBWV8<d@aHQUTs#hD-XTkLbP-<sdIJe~cK z`ciAc82!)8!wkZE3XRyi-wNv|tQ+c@>jUan_FG#n#+(k_b78YfT}SP&!q0;A{_Fo^ zzvX<YEZw%c49mA)XTQZYH_KRykS4hpFajfIWO(?WlGVDFI6ArCm@suqe)0&v@pM@_ z^BXu^_-manJbz&}>FMN7WWvHv9^sz=nE7Q7=WYS_)%CbIyTHCN#4q<KGfnu(BmA|1 znV+@(xG^!rFZV55`N<>v)HU<7^55ml3h~PrYvm`8@DtDca<OO8uGU#x{2-H+lY65X zVf||n(jH~MYk2Uy0=Bvj@bPW)x4++|9J1f#TAMP`BI3)0M63Iq?RP1ob-zpbL;Kx0 zV|g0n9qpRxwq^T`-R*a?eZB#%fNT6HuS@NBbL#JRP1N`ke~<g!A!iQH9$}ORJb_Yo zk(R(nWYbICCczIhWE`>@7h%0BiN;#va?ddD7QPz^%rEa7ybq0ghlOtRs9s$|@9?Yp zhDYN#LemOO_kHngNCw`UKLF45F2y}dXW<#;xpL3&Cn?t^J(#*B#isrXJb747wBuO8 z=k3gE8A8%j0ggw<G@+{nOg>F(Q~P<zk7+`ewja(RO*+<x^g_opq00kIKBn`3I?)Lo z(}ZpjVDf1SwPgs=F-_>|0F#e&TT&wFm?m^x_QyNACLMMU5%pu5(D?w9Pv;j&$26f^ z1(<xKJ0YrErU{*awj-aWi_DK{LN^33`ACO1FjX^(UYI6y^8u5OR41fF(lJfwXfxy^ z-CaqMbW9UErmH*^UATT&;2N~Kdl0fRC4dnqyJ7o@ow1IjWxCL=1WaDq4cjo9mgz#f z4KR60%XW;WWxCKh55)V%h%-;NWi&0*g?27r@-okGyK7rxeVHz_n*fuS_RF@9&X?&z z+x8&zL&T{AwtqA&(}i|X5cdy&mU)V;P=}&3rVDKyVDhrAvGQfQ&~~{5bcj<nu`O%9 zOcz=oVDd8GShP$R+Eswb%ksmv7_KkVh1Qsb{19iJv1pktv_k-sSM^iVCav{ly3o!C zOkULoW6&~PXg32^d7}<u>(+dkF0{7UzI5`kzOiVTF0>_p$;*Bgi<ap^yAm*YNh|%x zS_h^J?KZ&VWuCEUnJ%<WjP>ND9@t-*C!N?1(}kAv0(sdEv1pktw9JFNEI*p|d8BcE zxfdbry6$X!jw5}OHWVI{oAy4Y^`2=N|J4Bu%9D6Iz;ulBTv^ijKm9&U>8S3Ru8ng( z8=Q~x*jK{mPi-gRoAI*n`7GmdUe|rH*6Sbf9y_H#{Lo%LL`Ydh?jfZZYoLcj-^)&v zU+UP@a1e}C-UE_xSn?9NDXYj$JD?sC{SLml<&O0pf3)0`Rpe$G_3%f$$IdGEU5K#% z--eL(F!nm#zxM~sy<_cXx3>XBtzlf83lv;NcKx_c+10N+5ALXlxSwV|>VG(9H}rov zvVJY$X{Rd@vaY;epZKbBd`Aa4P}!(@^PG<LpJ|4>{$J`+PdRI1oUoouQ13nbKO9+a z*|!h*DI=9K$-Z6d9)-tnlo@U<-clN%!;)Mmb?pNwkB8!lqESD)eop;UYV2<)_^yi- zBT!k4|KZpkx}=Qq3}j<Jyz>J2DNESaBqs@DokceUXM=7?*AQBk6-{T$*0`q4*?YgC zkoJoo^6Z^$uRV-IIe7-6V}JH<DA-3r=jd3YvHwt0@%u|{El!A?)ZPov&&z&xREu>N z-hX6Hk1yYM&MRFGo8G-k(nrAt&qxjYKYR28C-Tgt*X>~-uG@{_uHBydhC<5W_`eZG z!!@h*43N5#Gr)Lb=iYB9M2mYqOf$3GBi~S99~IhDjm7yL&+xF9;(3FdBkU;&xMykw zuTS9g9*Xgf@N`UPnxyj^icfKR*pP21bPnNP+OFC&LZ*;>=Rh{dE9U|{OOW%IojV6R z!`vF$x$`Q_Ymu(~zQG#wQ+Ojtf7%<v_)b8uE9%Yq^Mz;rKU-`3Y~Un5)=WoWB;kJ( ztu`J^=Km&oB<bRq@ARy^5c}-c!h6Q~Uex)5@Sc%zSxYbX{dx9`lvU)eoq{t1=poU) zPon&6)5Kg`+-X6ptv}|=o{_SO+?y)^Ll3|AJtIy4cI-}WC9A2It$vJ6(8KS2&xlp} zFT0bQvPyfWRpML>ZJy}=YzaNrQI^&`Kf9BgvWnccslIgTA<=p#%AdHVcHh4#tH|Ad z8qPGK2i{TCwA(CnjhkQY-S=<GDstyl;oKT}_`Tl=jT4lgcW396Rpc(2j=Q*^hu{0% zsfIEBr`^d-Sw-&P42)^e!|(m>RKu8{+MDM}+-qB%%-@t%<mNh#dicHHF=!aE$2E>! zA~$6fxv3ZG;rD*W;O^${cOWO%?{e<Aa)(~W(>~O>LgpR+qb_1Op4q^y<=2r$@Wu`1 zT`ekp-$PS3?A$pqSCcg6ch~2R+>6A@Ek#)~HZ^c!*9!$O8Q9J|cchGR?pU|oolf~l z8c*KUr_Hl3TQ{Vp<E8tlz1Hznm5$3jeeE0b3e>ySU%hiv)=^#BI?mt8cdZTMp#?6- z$4_6gX2!C|p^Kp7De!j&&koQreKGQy4gMp+!?+FkRwFOrAHR4|_R{vNYwHfUKAZf1 z?|rW0!yC`7dFuN8ScjVb{N3T4G<&f9`-ylvFR#GfduW;cy~)Qq&O3N`4f3ejdTMv) ztPZ!W2_E%WHtLZ5^YxEptvLL4`{{-2@PfzPJzu}NUrp^Z$J$r6Z-X=JwvXL&a@D$3 zhkl;jW8UNIj`-n@+7|7m=A1C;)3qO`K9+NFtHsVl_nnFA@2#Vpj-wB_s`~L;j;_A# z?t^RI9r-l$q8;1K`d*;m8yeDLn1}W$=B*}?=Z?|ex|Y0oq+?Q--j2X=KdE==rK}<V zt&E3Ml==Ne9bVsP_}wjhSDJl9-j(J)pZ$lOFkXL&l$+07c>d0_L%Qg=#x~@4Pko!( zkh1n1&B&aF<i)Xx=a|&5^&FGB51nJi8H@RRe{}X)18swb4jUL%Shq@lMYj@fnY){( zJWx^5&3r#mhuxxx{{Yd-$k!MXmMG0=tHy?Zs^8ez$#bsQsrnhEI_JaLUg(@}9M1W0 z?w5yiOnFa+XMW7%%&jNZyDR0t)Ba_}1wj_{9+>hpLwJkR&#wN0fsG6g!KUaW&T~FG z#(B;s={&(aA!RI1`I3yE(79VFs>q+V$p@t7y{zkKO_6z(=`ye8U9ag_JjaQ;&w{^L zc{CjToQ>G{xX5vrbn$5;%hGh<ufe!ogK-=4cF@rPJ*#X?JsZy*{^qHl54$dF&`rUo z$p3(49+L8s9y`(;=M*N0-{8)j+t)KTvGL_A{`l?OX!$MkR(<_N%F`;Ld6n}6+g|(V zc~#fD;qxl*L<`TWFkNF{$(2q75w4-Q*me_<RTCm<jha`v?q(m6b$8z1@J<o>kF2|6 z_m`+@srU4WE6RPqep2oUtL6^4*WG@7#tkcSqbM5?-SxV=0U3lyVttp+bp&OUbp*!| z$}j7P-OC%jZitSDir+2pXIMv2zt(jGbua6Pc)GShb8*)Z>IQ&r0dIM?0dD`~fY;Z} zz=7Z1b;NG1O%tRc;8?gv))81cgw_%GmZ1*o3V9!u@36`{w=3L_tNo?5iaAHWR1bGc zcI5NIAxXp4^TNAPVXhM%M#$%d);Mw2IMcODO1eDh%p~r|N5@%51X~=CI^@;(>j<XH zI-=x;sCC4Zm+*D82>0%SZjLiAURs@Y_i;+LUV~0{y!X=`_61|w*O0KLe~;CD`?wuF zfA~P{*Tx;YqI$=>wbhH#d#~kO@E`E^15YjJNPjl+`Vjp6!NYhf<hu}g34gi!E9Xu2 zO|`>!-sdF${N6Jh$JM6ReEZ{ZHK;?)hfiGUIQ@}i$D?<(cc2cAsaIUMdW-XEM_TEJ z)ySjzz}4SZUp>D=&E_6GvQdZZfbV<zHLH>x&YEpl&&_|t`SGCY_g~4i?-;xf%kTY4 z)gkNVw@A)uHTSi(YhS;k_U&U2%Gt1D=h|D{FK4glve=nuJ145YuMZvK7_s#G>J!q& zRi|{mzuLM#=lK5X?av##j)>f!(`4VR%SIbUx`yI@E9(gM5m`rUegyA6qW^@}5i$Bp zq_l|r&ejo>QPvS0M<{=29kE+^qt^}5@p{^ci}*9FBdA~NI)b_nts~;-+6Im7T}NoM z+4JWSdvG0rwS%l9Slc?RD|i+m-^|E2Hj9qc=hj*x{oCp<Pc`a1;!dm=WF5gABu<<) zZe2&*wVQRsmb3#>ov+7VM=)L15y2ay))ASr%#wBa`Zu(n4w~5DgUJW=+PQP4T1OBE z*g+iOleZmN+jYs*+Q~Rm&~rhEpUL8SC1H&q5x_MoP5x819qA-*_a#%E<d3E2yqC`G zQGQ^Ge8OY2gx){9V&Q|#Z~dxMs;?dQNcG4IR^iT-pyRaX#%4=7X4nV#-e;zCH}S#y zlZ+p87tg=;38u4ro`>wJ{KmC&NY0>HexvmFztlbs_>iuLM#z(t&^m(i0~=iXhMh;S zeR<A*BHGxLM+HUremVL)V(FW=IIT2<8;aAm6V07yyz%D|>?5*{nD7|B14I7_ts`Rg zm#8}a&ejo>QPvS0M<{=29kE+^qt^}5@hIKwBKl`oM^L}kbp&-ET1UjuwGBGkyN=L? z^IKd;$Q=#5m*H+ylVj^Pz`V0T*Bb3Ns&`lUf24wANLq25@I7tST)Zy{Kj9jzKgQ!s z!xig}298F;%dfw}j?W<YK0otXhLHKUy)0Z0p%gl%3Ec$1<kK|z&2FJ%n$Rr=EO|!X z(ZDpJ+X|R`%#ZI|(@B0z6T1F$@V<#jhh1_69n*v^2$*~%*pd=S$26ha2$*~-BizwI z9Z0!M6S|DcG1i%MTT&wFm?m^%0h3SX_pNF&$&YD5w-_+_NVg>=l8$LYw*@fyNH-=q zl8$LY*By31K1~-{Kc)#CZH9cLGYtJNd!&9$6FR1nkKvY-FdYu;4ceT1+nsiWrePbi z{lrF@Cux~3w0VHZOS@qkM$<A~Xcqw{FKOA1(X>n#+B(4GWu9!yXj-NVZI>(Yo;~8s zGu-aF%~@Zj3#|_@c_|y)K005f3+*bv<fRVS{?W8d7h2;g+zEg<^9<WcxDHGg+980+ zOIq4XbiPa%+WCOV%RFf_(X>n#+RcE;%RI%tAilDF>VfG(YnzAn@J(8=F)J<8g|-AR zd6{P{TBZx_O2Fi$Y+;)W*MaFmyA3dTDO)UBrVFj}YTRRhILnVk%XFcg3z)pL2eEgn zY)lv0O@PTuoyDSMy3n@8m`q;kf&Gek(n-Hyy3lg`CNJ$V7A@0-mU)nu<ww)1=jE6O z?gb6ozV1BzUYhhF<{utAnNwm;#_4CwY#3hw*cxZj17><MzKi)ZWd-V%lyns;*viCP zgKalM51YgKTC@OtaFOMGL&TSZf%2_fsOkO;cPUU-k$dA!7{j24M89iEl;7HJO@RlY z5qI}KF=Z9GX$RE9@BO=&hTNq<Sw(K@mU{TTe-{($e<F(Aa9rf`efEFZPs=zE+D|_> zd#BJxha3;!*5Z_GfDTJ?8BSgBfHh8<Mz~!+-{)8s+tq)&Db{<ne0Pm9TK9OAKeWe- zBk$gCaARwIPhiu`O!mk(xR`%KbMg7upJ8t1T1VE(*0o=vb?4mMq;GIB7jM7;POP~& zUY*!i)mj5Gh2+bJe2`bxQCyqI`ufBE*I3WJRklz5%M<Y)Fp=`k7{FlI>+?~{_biZV zgN9Jz9{{Ff{6mD2uJ3KKskKJDdz<<nI3>ONTj8~a$_PJ{?=FN)zYQVBmW+d@q$4o+ zAYHwi_uQpFpqjPedtHp2`f+mX+R1$>HbtgnMLxXO#mH&Oy)GNU$hzK$koC^n=YUko zLAwsu8<BdBXK~79>mV{N_qo`RNLcDkSmF$A@c2a@L1(laN`Wf9F+aNf*(UrBf%3@n z3AP<&rJV6)3!Sf93T+IoF|?K<6o@<E8*lrTOoEQ$;$pKs!sr3V&U1!i8j|-VBk{57 z9!c@*$0F+xDbJpLUsB5w`5gk!iD8Fg+i}I^oGN1=?ddn_ur+V^cL-cxu#Z^R7wkXb z^##YU`cADc_-_1|>`{ZGtnUx_`g?r^STTVf=Iy>#WYb}e!<cT3J+i*QoEw^dCt&`? zd@N@kat6ej#u|fah8*1B`S(mznDgs*uqQriw#JFG#>3B|)6#BCI)LxAC2@e3zQy{8 zOFMW<dY5-%&%d0<m@f0!s{Qr<iwn(Tr(L#P@`(&1=Pmv1jG|DM%sGm#2kLYH!VB3L zaKuZTA=49`$5a-~MmaqW$~;DSWFDgqC@bmJJQh>7$Z^z~r-tP>9$h@V@JSe(t_e0I z86u25k7fS!j?+S<z`gSrI+${M=P{~*{e|-w`-pWOWB&=wV=?=SVeFm9v?ZzEUu_<X z9OWz}T5dJ8V#6@oR_!A(cZKFLJj1NRyv8$jc`hK&5n_!&FTB&C!SfhP=KIw$k6GjU zoAUtEGvH+&OEQv^$0UD`y;PF%Ply_89^3Lbo@4ww_B_UKIG8T)OxO<6^B9ZMdzQ<j z!?QZdg*Cdk)-Yb?K5z~0qQm=8(Q!R*k?DJQ&S3|cauAj{L#F?p-kAvNVDuTNdJGq- z3z=7`Uzu0gCe%Iiil=MNP4zQx46ZS>(Iv&+AMVDcEt$lgS0B0lMW=;GfqUmw>1KQ9 zRT_lMtL!7zd6oSqG_O8ae{3SJnpa0=4~Y5gGzs>)CToEE8@iJ)-^6qEpDsjFhUQhw zr82LQq7L&cpBu|Fe|df!YhG>2`D_bR`G01$xnE@bC`;UCNl!A;(mqXjRn4ocTdaB2 zIAltC+q&5ED))y>m;K?~L!<VGnRC7)NqyI_{o$)%<h&X0oRjIsuXxT$d1M|_I)JQH zrJBcL%9hwXl;}Lz1RGKs)IYK3vAyS<T030QvF)|rJCA9t=wF$~*hj4M82e9X9*fyu z_U;d@dNh8u{h_%bi6~4*b~lg7yRv*g_HMAy{^|JctcLimY@e>93oAUnfciIPf)3FV zu^jJ9Z8;Rr`VO0tZaZR1dR+nbnC@8b%F<%O<*11HLp$TThj}eCX|@8k(hwFprU_mD zYw<2eh&J+FS*8hH5U}JK{jMz2gl;2X^07S5vvg7}(}XT#KK9Tionh!1OX!#uqJwV8 zr*jJbKQ79ffi$5T3z&SQ<2$enB|oMK-D1+gGyS%t$a0w`bZisyX}ZY#m?m^gC!eO{ zuP&GGDY8xPK}g%E0*t_*4yhlp7uJ!qOc&Z(z~m(@Ws0U{y3nSzosv#o=1IAtX_+px zd4S2wJVghrlhlFfLc0hsd8vERgO!%)LR$xzyv$d0VWnld&~`a|N;-L2ek@w13#|_@ zd0BoeTBZx_D!}ArePij2=|XF?o03jm+I`rz!g^r3&<+7iUg@Wli%xXLbfKLOn7p)W z+K8qM(=uIXHv=XwWs612bfM+AKwjz~7A@0-mSvKcb%<_bb)JRs<zCRxPU;HvJDAj$ z*rk<+c_rf5|C{pOM+)AQX!3g>kSQcz5yn!;D>gy>i7n4~eOtZvKA!ry#)=C<_Fdk| zbSsqj8i?dPPU2sgN@IMhC7th<-j;M|a*~k}_f96?iIdYa-k0$XW8AHHcl);RJEn{; zN1kjy;#t&~3Rk(m*jrI%%d7DE+!X<j+fRH$-B}*@v|dFGrQY*&^Ng26?^-U6%AWm< z@6J$Gk((scL$3igR^8{V2-tj0ki5C&PBYR%a(9X$H{U6tJ;+{5?1F92y_W5tm({yF zBhkH5qWlf$S4vXL`&1UmgN|b#O3Ah$6nNu`%zC(ZXNC<ZKZs0s(XaRHUNy4riM><8 zMGf0td$q(tOwJ5-y`%5o0zph?LoU(Zyl%lgq|w9;#l^Op=-e6`Z`?Ppd=|$(V%=-8 z|Hxh|c7HMVT5+oOr+cR)jvktd-lJ!Rn9oCVJN8Iizi>Uod7bMP*-s>`x;@5olluSb zD=#T@Pm&Vvy*KVu_XXV!JCeN%=XPtH|BF-NM*x<&Kgmc>AC~-iGS)7}-Pl&PilMM= z$6!tUVR&wL-i~i};AM^@Y@OqnMWS>2P@gwOP5%E-9gTZJb6l*sJ&3AMFE=CPxMrMG zuGTdCQFGkq_2;;)-)bG|hpURq*oVBPgZd*J$3%_+e0SzOBz^!d@fXdwFt9Dsm?i3Q z69R(1Rrn4Ib!-VZUY(Ex$9M82tg1GQJ79<3R2#w7G3-%OT7NIpq8Q(pp*1ZLSnH!9 znZ}y?!X;BTd}d62$TQ>qC!@WfE0(cq-AFz&a>LJziQ}2~;#znoV?5WUqYen4Vpf~5 z#2GSuPdzhst~w$WS^lc7Ln!x=Ii^S<Oc)63M(mLKmH!d9{8;Q;p?l8!yVmvN(CJI- z!}&5^&G=))QGaw|Z#t%bnI?E0l27rPWVDf>gYO*huQW-ht+{|=by@o2HD&0=zs~=N zI|0S9jI{`<&pN=YLC#42ikpxv(5gqnZA{&gpFG0vL|vJmmH#eZR*2tv=b7-6NBAi# z^Rx0#$!c9I<y&n`_{k&uq+@;qhlfq^kO!{~mA`F)-m8<2{3{XC9^`+d&OHuiK(H10 zAE`DqZU$?0|6<s%|B))KX|<8CO`z@f;QvT{6f&^hix4Kk`?}zq1v2dmc-Qs~0`+dh zi~)ooBSMZLvvO3_cs#ch8Hy|nHz0vHI?5yQuxu&`Kg?^!0KJYLl4HKntcOq`v4m`k zTEtoR?+~(x%{?ZkQ!dU)yO5&>Z`-22GguWmGrn*g$3koU_e1GH5LoLkan_&dVaM+? zW(?5pmhZm)!e^>RMJW^ao|HrOo?N$3M$*NXDc1ba5FGE5*W-%RCmc42Kb!nbUH8fV zbM3f(WW9NM$$pdS;X3TtzW$;egV9dftq5+<z0%<S9&T<Itt)=(q8)d8)-g=*4Gn2x zY<ult9LmYwQ^)@7-!rg}SofanKcT&6jCCxv#^)IE+}^!sJk2x=zeo3;*l*s8Vrl<$ zb=Zr_^MmL!d`;2xU!EJ&y`lqy@h79=Oj>28^X`J%lAgrQGsPGQ+E{zf<twmf`Z&Dz z9Q#+?oAE$+@5#9AJ$-j*x?!I3$u?Jckxl-YTcb{uai@EcC+f+kS>gZ3V0Yi}Q&y3C z?qWRaf*yvu{UwQ1vAN}L$lV2$Rpeg01amv|z`F}<es_S4*2tz->Ka)v$z2#oM01Jr z?ykKltH`}-Deggm9tKpnrX^BxbIaY3_NJ^N_oh4XoECb>^_Kes6)yZEnWnV1VKleg z4Y{j=vWnbW?!tXV(8IvuV%TZZWTu@ox7@s|V(D)FXD?+Hxs7GG!v}g8;`L5$y41}t zcRV|%EpyNEAsYv>irj7Q!E<=%A<u<JqJ^by+tBiWyTVl%@OaBf+ECZr?H$j~Y0Dxv zWfi%*FUR~1J&g7i2MWAJ(;F&hG~Mq(Zptch54jijS3nPchC7!itH?d!KHRwlJtTT( zQlk9P_S4vSy#CF6#Lg+J$X#_m#x&^R&v54wWfi%(Zl@mp=yxu0Jg2N8H|>CW(C<{1 zVt3NC*-Y~@x8`%ZTBq`^Del*9K&ZBY=DsZzadr0AX3qZcYHn^F*BbmEuIkPyeb-dy zJ5mN%;_=wy;CFr36!)I7TnqJ;B~L)YF5X>J+?!g@PAGrq>?Dr7d(Te7dfn4dnweoD zcR`GX1zw0o+&V8Kbsq9FZ8M^(qjN_Wy35^0z%|irU@IbtpryGh$8*a~$F&Q^Ggcjv zx^>>9bcUTKEN~v&t-5-|Vb?iL@?8e31JCxYb+I0ww{1B|Jx8);vgK0!Y{`mi49v3V zf3z?a0j3XYMV;M7oizuO>yl12Y>G}(wgA`FhAm}ma;j2LTT@NrOd389ILzpX-ynRN zad_xX7C9T15Xo^|$;5+F>2>l(oNLpQ&+3_~^J;-xL-;K4|J!xzR^Td}Tu@p3|6Onc z%j*^>^NnvH?Ow9@8hGLPVGi+Pb7AVBy(J>Fd$G?I$@#`DH@_L`OR2C;K5Mk{4tPKz z8vG+S8<pT)Yi;R!*51dSaiH1X8eF9Y6G~0hb3Jfz+`IrG@tdyE;~in~btgV<@Oib+ zlSb%e+$F6VH&N@l6F)Tgd|l{CBlI9sWsqJyHB$8Ft7lQ9?*cr>+!+W-a{_*FuYvM} zzD?SQ5$|9l<2XHTV>ZbKnUlO*0B~%+!sO)`L_0BzM|08vv%S3s&OX^@@K49BHlW{N z0Ga8MjXa#4x4_@dojr}7YUJ#R(%JUmxZq=l$X~sd#Ajjp88S2fQO!Aw7Z)!>{c7R2 zW)FF92JHHIymKBNS96n%6iP2H3<*Z>h4_vVZRR+Hq=}@{<8oNmaGZSwc&-f@I!3gf zS=0H1hqLk!ZvM-|Ss88__cg_D>o=??tIn)-q+JXFf^r-KrD%Ccp>;rgpS60r8XIo8 z`DXisQ%_eg*VV!OMys~NJ#dbZl^bz4TbPfK<juJ;h`3efJ#2dSJj^xSU4gWCZs$(D zbl*8sQ>Z=xaOiN<5E*Vg{eV;(;><fZM1MC7P`RPQODfA;<z4x%JKlN6DOS%DC;8lp zwx3y<+>^(v|Li$_jJLq!@{iB+6b33Q-2U+~Stm-?zuR!aw^P#TtpaddvbGJ=Vy#aW zW1M1I&hh*uiPAdkLE8%3+lB<v9i#~G6Xl}wm3Cy?*+47xV7m(I(BaxvU^4#7((nTl zp%uD6dq{n>FhXim>WJ32RYxyjj)1Gzj=9-}aVZj(2M<j>QW20W(&c97y2@}kY^dK8 zyLa!Q(<9p?jq{8Bx+?~l_n&fIyid-O{XTPoT8$%-x$ZhP4D|}4faSvvNaZ{jS(fG< zmOa|%4Vy?PL(=xOGT0<3dW;mjgh9s-JHN^{jD<P3+<Z93J8kO>ZFvW(f2MI_yP)In zRL--#&2_)i>1@OQ087Ufkb=Wyah?^dmL!~}%aFL?jEslyD);98VV~#RN?kN|Zq@U4 zcy8tYKKlm$0}Z~0{|n8yEBp>$bIV!3d})X1Fic6^@LN^N!MT;=tajv~lMw%N7w=*6 zeKqde`2Zqp8;Vf<oIUbvZ$)WQ7-2%OXoC+<%<^?8uw(vKb2R61@%1tYA*4PMat+x& zTPNF$AV!x{;gjGS;GCMqXYvb&ykiyQ9tCSTomcBO?mR_P==ES&SHkz}hGWL!tQ1A? zUHSG1W9f9v*fH*^IAe>oc6^_N{HyNFNVR$^4dL2aPx?+cBXY=A>n7R_dHMZ>wJ!bV zxI=UIz=5L%(Z<LwcukvRjKoNkhs6@lf~J^xSl_7y3N&%Y@KBBTe(bO1IKMO|@3*&n z;GCcRMeXTF-R+FeN81%2ruw;Jnd7KM7q0HK&wz+|=g3+89XlrVa9q3KLbZOayLL!* z@{*J7+wYsI=rT{qbR2U{&zi4m=c;}bS%>=N=n}*ICtQPgxS+#PxUiSkws<9Jhi<*L z7wg~U$L&2C@3ic~zqNf}Ue6u)znhFt>vvwC5m%0R?DJl;`j8I)Pt$R5hc!KWESdc` zrWXw@>_OVks#dD_-&_m+R-OLP--Q2dqs60}h8OgHW@EqJnjcJNE3jwN(RS#>?idy+ z41cuDPrsL;^vv<)Wm}%A+qLT|(VxWy9qhw8k9c|#+NOq5L*bWlV(D6F8XrcNA~{GO zW51F<#(ll@y;1bB$^y6HD{)u2g^wZf4B39X{H^p2g?*QKL*oN^tnb0c%fmMMpwvZ0 z2c@>XJUq6<qt*Cb>N!}SH&%Nz2G<zc=+dRGvG5JUag5lBG2&8ljCdboL<@`&-<xB^ z@fahHjxk0IQ{xo-sPuyYXm>rcHKdQ-d(b9~Nt`F2w|{X)e>MI@_c5H+sa=@#%V>!b zi$izLXzLVx#%hzsmFB$nfYfdG9FTf=NI&)YWquRel-dyQ1UYSYjLA<MW)56Y90fnz zQ&HjF)!_n(jiLBo6|+w!#5@NeWIiJhN?9y}@L}+yD+~OU6}vk@XDg?HT00phI5x;Q z!4&I!JThmPtITIISOSzA8YkpT)sno&K<=p;li4l4S<X*~Usvn<Vzo0qUu;|X=z?P% zXaA)j>!XjpRP%=L_x<9=>ci&*9AE5Pu!gvIiwD-6^x&}SPV3q!x?^@`IKEzzZ@<f{ z&!8gfAZ1Bz62`LA*f`Fm?Z5f*kptFr#@vXt?}O!-gM*HX)_#r9FdkX(M9+;=9#S~Q zx83;Mqklc*_TJY{>+u-rUhVRUJ!xFGnnMc@RP`NvOkexpKu<^Ii#=5QZ?EUq6nr<f z`l!qPqx$l_FBjIHzIwmf(d8*f*W-k4?Ez|)%`*1fI3e~NPfsi@0rxA86V_TupS0o# z56{N_2}A4R>oZa_5syVTJX>DOj^rk7pAdsS6OVj;B095%5qYTgWgBYGG_}7W-b}O7 zFE()!YWif18Za&#!RmYtG!Dc!n|Gd~_eR8Nhm(aA`XnP2-|?z$i!{v>845?3S1`K{ zg`P^06IaE-a-4w7b9fzcU#ZJgG*LggUQWyRcu@q2Mnigu%qXl6X-hLy`(XWCLF5$L z$Q&9I<J>V943x7YLTWC2?t}04?%VzNnv@)&YvdsH3Oe-jI-o)>y6)Dvq3i+js&Qt_ zK%DQRLaf8F;Ah>U-I#&c+eRZ1kEG?^e6iD7ullfoboy}J!!S}p&gLYTY{pwy=1Yyz z{M2Deh)SnOonUw7GY2yh1WeO;3RO65SI}_is4ZByUgqE*i+lLMxNG@cWo;PPv#<1q z*X7+0_onA9xg=tpE*W%Lpw}8)!|)71+~OO;cz!1-uI=?<{K0}m$Zzr6Lx?#RoR%qw z{iS}qn~FA~*X?5=G{GYctS;4GWSXqWC>K+hFUMWt#~?x(G7(aSL>+aNXdZtwe(Jf) zez-3Wy5Yi=ZC(12&vE7x?Hnh(JJGRu+|V;pk27{s?w=mL)Y13xXR9a7Jm21WO7VvE z+cf@`i^n=X$k}Lraon4Z!wTQXyZ=XxUkLoX@~^75o%e}jy8k~LxBsm1%<Hr_yQutA zzv_D7w!@QE{={!+-K%E8BbTl@BV*m=gWm|_XJ@^n@?ZJi(HGDCKAcax4g+gWS^c@A zRm<aoop*-m_nmx7&G1kAI>+v~c2>S6{}1jv$MM6=W1TO3anXg@pKAJ!AI)>ro^@<> zpSJy-Lvwz*@$D@-|2pRtj??>}?C3VTr*p7vXVq07X?*$m`yHR%+R<@sfy+7R^ryx@ z+g0OBfPX8sSM{yK&UgOntm=C%vxVz<{$PjWgSShZ-TwQf|35v$^-Nj%LG@REcRP3f zJY~V=K^i~gk}OB-+DxUN^Y`gD<NMA!pKlf|wtu~$m%@MjZHEhUI%xdM&*eE@xv))5 zutU=7;%v_?>tECPjQDz`{igjo*Yy9ysLt*%Zr<%LX?%x~nU2XnzpeDyq5aAWhi%vS z6pxv2f8pRy6ux-JikV0Mpz-ZMf3)-Xn&roT<|xkXb3?}+8ea(d4yOJ~4|(a5_jl<0 zcMh$!XPEjgIJDoTOApg{&#VcK{XcJ6bIw`)oGS+&ykJGT&gU;lPuTDMd$DSlmy=$( z==Lp|zQs3ZJC=_f;b`+prt{sSKAk?-Y_ErA&vNWo)Z4M*g2~SQC+vInx>1_GW?`NE zimyf~J@23VYDKWW#@`3};cbUkKj|)U4mi2Z%HC&a{1c$JxB5!yf75~Q-PB@;#?QN? zo%7BapH=_8c8>j<(ZAgBQfrMr;+=L*+krV*KdiXkzE4TYkm@fqK6vcD&P7w-$+8VS zWX-FG{$t!D%Qb%1{rfqOz2xKS;K-v+x$(n_`PV+9@nep--{EYNWxv4K<T&t=gKs<H zGp&b>3lX2+$A0~>pE^1WzT@V7%=Vpr;meNKk3P<^;hWDL_ny;n+^hR(dRxn7j@0}5 zI0E}W@3?a91tk@mb^g^O-p{&k-=)<{zdf|(;<qyH|KuJ`f69d;9ldUPxcUTtO7*AR z)?dHqC5>M>DaXElo6{WUw=Z8a>$$V1wEWn__dedyGRy6Fe9#Pg3uDI2S#5Ow?5C$L zd8_)h&s)^|^8US>R?G|Ir(Qb1kv-~$H66bE%vbRbjqfq+ddKos+t&m#)~;z=Hmth$ z|8)Leq|b3YxhmIDc*D!~nd7^hb=bk0{>b51J3jt&f5-c+`qdiaz8zO*jvL?PEpS{v z?b$WN`zB;Pu;m9$fAEVV9P2;oqUdk`YTd=XO?&?Eh&GO?XT4x2{U<kjhNXR{%WePq zL`VA4*44ycoc?w2mH+8{{^8GX9D4q2mH$T%xEDY8Urm49ImbITZy#vCZQfnAudbcC z^p16!KG50ac)9p6g@0_vtGBg%NaJ7o>KMm;`~IZxgBEuk)NYf;f86B^N9l{lIhfB` zpM6;H(8C&E^x<WWJ~ww$^v1v;_n*B+<0t+j=-B!8VT%5m)5e|i_;VURssEk!-cNn9 z=C<iGoCDi;xbEzebUp7q{yn?R_v-3x%Pw%fGW4ydPamoAq<>&Sn&Zc}FK|A5_=E2J zp&Gve^lQ)EXg@RkBIilN2KKU@qw#Ft_GbR`ceI=P%n4!qr6ac4na>yBluUWwESL1d zzWvI+cF9%FA8o1A3jQ6Y|JavPea`!HoZoa@`S2Z!HGb?XciB(;;8y!l<F9g_?0>fJ z>t?%Ly}ru+dWV<nUoV>HoO)V%@wm@5{V33PDg5W^FFIV|JbKb+>z;i}<GT$0C~M+v zt*b9udAYOONw+^R=V6n+!!uc>&s|x4*?(6!pX>0C)f-B*-Y$J{nf>FrU8{#ZbHDSZ z^IJT#%Bkre+_%`iVgH5pPbwaCy80c~dt0&DE>o|wZ`?B6{?^A2I?oz=#$WzzjvJKM zn{{>dKRQ0>oRD_))2~j}^a{W9@AhxoKjduH`Sz?ECu#iO3$Ac1^SqknyW=27%Ed?S z7=LJzn(umh%N<{AIAYDWul>idb>?Ve;LjTWnsJrmr#4sE+kVu|xio3r$8%?CeCx{} zbqwlOY=8ggLTCSphy66?^c0oPF*`4JTruNf`}Zr$owxU0x_yCP<5wMTbME`i=;{mF zTxp*%^T-`{eXH?b-n6gtqc{3gzrXRNHQRnT?uYAw8gJYBwqsn6SM1O3|E1%u>4*OE z_;I@2w@&)2W7HGx*()bK=Q#WFwcnrdx~6|H<0ePZ6L;I6Y|+);ZswYlJNDD~AJ1Kp z_3nF@+I=_GRDX3xm(B-2qVu7Cp8D5F`&egnwXu0#_qp>m{b}!gW&dT?iT0Oo?pOO| z@b;7gzt;2}vTk$q|EkjdREK`G6K3|@C+QbW-{+Gn9c`EV!~Xo`%WD1Ok52#g9*s{4 zwsm;#U11+_#j@HpOSb(q`(BOjdh9t4+r2N?FFyUA+Q0q0)Y#XQcgUSz+J8B<w>|BP zna*irPure7UYA>vy21YBeQ#x5+3`x}0~de%%ewz+{Fk3UW?#7Z=2N>q_n@=&na6CO zl&{-&#^`&q3P!ZadikD*op&Db@OSer4BJC_a?h;0UwPQMc)!1IPnxOm+cvywf292l z_NNMNbb7p_PCm|@@8195WBa0_OYL{9yxm#iU()x>G)@1`6&vk8kDY9<IenS)s`B%D zr5~s9?fT5MKTuIx{rDSKI%_-^Z~Va=&%5`%!T#x&i>e<!>{jQ$htw_l@?dS}H{bk- z{gO*=tA3^CPUpb<%kTTeTrbVay)WzajJK-axbt#n-@KJ~)xDwVE7NYz>h|n^s~_)k zi}RJSpWatsu0slDuE{!TRC3J=tL}96%RKe+)Stuh{?g{V>Jy)w<E(Yq7c6@(j4wI6 zZA~EKR_BVM3!l3Am@xk4wn;T>?!VKywB^mgbIf^`b~5jt&W_TjuX7ITc}nS8bKOGx zSx0ws{O5qbIuGmpT%fQ;IG;{^J38(ea*y-$9^;F@Ia%XR-8S2PRIcGDTXMbAHgdyx zSG=w9tMcdACw+66qs5TFI%l7`<NOy}YJBf!=GuE7|D*ki|1ER=d(^^FpY_uC_Ja+_ zWXA(phd*$G^Xd!M{`kwkwLOe*r#f~FpPBX0xwku?nAx%AYi50}-1kTO(H)M>Dth5= z=Y|<uQ|mhGd|KY}jD7q1Ky{^Wsk5^1Uk{Bi*Uv5LuCgDrVrg}Uu77oA51GBNi@AP2 zXvN>MrnTQ*{l?Wxolo{Dz25VtZkOb>=VqPX<<sift^exujJ)I48w`!7ehg=F%`>kr zb-r%fc==23hw-m>Nvat(=daGRG5@_|wz=+F@WEnxmyecIzy9Mr&IitX=HUbT>UxeF zu`X-QqSvZNkH6QsuJa4GJT*|`nf?3~Z&nw2?sb0IV&_fgou={Mc3EM+X8w}uo4&fn zSyJ@U<2h!#Z@g-a{f@!2s^46;$a$7)_KHpBI6trEc>Cm2KBzw7s;ixg2KKtC%(VaM zQ<h|<=4RA%aV~WBI``H4AFd16f8NzUR}Zb7=N#Ab+N)Z86|T=?tvl8%@4C=gH1^*s ze|S;jr(W=O)`I=Mt<LVf!1?9CjJw|57|v(b1?e@m?Ke7q=yBANBcIav$EICr@89u# z`}(TOoi(SlD62eD<0meA#J<mjW%li5mpMmFx#7fvj|u1FyZA%<Yw4FeKTUrB;)NL+ zUj+IA%et@ed1gC<1#=!f_b83Op>C?ZCbdQN{{NWe9M<KrIWM#f=ku6}KfiVPC9Sq< z{H=@E+K(@7ZGYwZ%bX)G==S3)9ksnt|6f1zb@jZybDZDVdp}q5S1m95?{m+;UfrkT z<<5IfyXK##EYo<74+}nXS08-lmClYuGhcagjm|&mtnci#L)tw}d!9IT&g*x5tm*wX z{cPWO-``i$p4U%n`^wr>6MySh_L9uA)|@==F6X}k|9PeE2#uFLI?oeij~;#M#5y;| z#XHMrOdfwUTIx9u7jscJ{U99AV(9eQR3~+2qV?WMos;mL5j^e3iHp30+ew|g>SsQk z)Ey=IiBc!^j;=lw>7?@0?`U)~80xd3PU;<O-V4S&NsHqG1v3x*Mr|jB(dUXb^*z7= z3Zv^FFspr_iD!6_3G-}6V9KP=o;s=U5R(Q6*@nQB^-vSfkk8UsH_9zA>!#1VI;oJ) z1xZ642uxYp5e+=UBTSgG3rrpG9Ujs!>|nywfxy(wktUwuQ6@~?2uyjU&XiT^Nu7zj z)RV}_bg4i2q|T(3x{+4uPn^_~IH?=+kUB6AsizHaXL!ohQT=L|`Z<~)@Jtt&G9E)T z@HYGkO#Sd2Sn?5=Iy}zA(>erZe!@#y!P5p#fM-5kEHHJ&xZsaBVd_(0h9{bM+L*x9 zC!gPtmtj{EX1@@a`u~fGCyl^Fbu;nA2~3(^CZ6@`W5O)6hY6Fmy9qPwX~N7$V1|+p z>)+d?VIBfAl>8a?HE9_3GhxyQ%<yCr&wK=CStptJ{uY?!Gfw@mo~M{FX$7WDIZQll z2M=f9Iw_kv)r1*3O_(+>F!4gq{*nz(Ub_XRoiZ+XDQf^Q15JF61s()=u!+yLz(W8J zGx3Cnn(%1|hg;y&O_;$56Q<1woD6uRiRU;YaBIMMCccdYrv0B`;@L+8rrt)Gc<N1H z8{p9<zM}>11bB>zXTKAeedSCO&;BAX`_Wk@o_$DQ+TqzIo^~iOZFQ`Prwt3tK6j3Z zXP*$5wlU7c)Aj_Wot$gpX=4J@*2bH7+K#}q)$>d|ZB1a>>iH&~_9igxCEvu;76hg} zOfd1Z0fE`hE)&nT6__?qVB%>50@FqcO+4*FV79+*>&`0FZQWV5r*6B>s@-(EXuNI< zjTe}Fx-B}ZHWZlo>$d2ubg%WSVXfQFDqZWdv(l^9VP~a#t+&ofuUc1~l`aKl9ks4H zD;<cu3`Iujun3-gjiK9w85Wx`btrHSV4sO+IK_k+R+un#C@}l0-^4Qvm@vai6J}co zJOS`jh3~AwX$tOSFsw3Rwx__80GFBg$q36$xD=t+geM{-9c3)RFX;$-@Jl+vltt=E zS)`tnL+VET2o3ckG}MiiM%TZS(xud&G*V}lI~|_oGMr(;tee2B*99h?;e{s5x(iJC zE;8{9FE(N7Kw#1e%zT8N<w!oPgOtU-GZS9)BQX0;kZ9DIbqf*%JPf~=m@w-jaL@uX z55`H)wwPtY3}>4#Wfz!jb*YJ`yqB3U+j))&Q^w0pn6!c?t>Brz<iorrABJ<`Ss$hg zOuj3K2A=r|%yfa7kI>rzUkOk8ffm>S_$s1-A7FvA0nZ~Ec=jWKvjAUBH1LBg@Tq{W zAsYC>7T5{+T6p4fEpR^I`9x!tHUYl^vyM_9!cs2Fl>8Y=p2Tb3PKr-p+Vu_aEcbc~ zd>vrMr9O;Hodr+1gqQ6oG;C|3VP9DQPu?3XFw13}c=n-%CQMp^CjyrI2@5@Kn{7s3 zhE}|kMVps=2ut6Ty)2)B%U(7W>4`Y&bNWQ``6KaC&sD7rgSzPp!Pxgw;17jA5IzZ> zj`73b4}vG2j`3FTE#Qe4mjU2l_+%5o_yO>Tz!Oi$INP%&Jn?kQi+Q$%PlKmpoMj&l zPdpvttRt#z?!$Ch%=-xVHt=+eGw*ir#M3d(GSlISrz1Vn+r#ezPscdZJHQi9$2j@+ zgD0Mj^<=${g5MvWj&auaNO<Du7-xO=g(sel@uT67fhV4h@y_rzc;e|;r(@xdgBRHt z?+D+?#3N8`z_vI6z6%j>Y%8`6<Hy6(u}z6*{6u&<wguZH6TT}v9ph}fzrYhu$2eU# zc;e|8GTt4&Cp;bLiD$eQJRQqonZ4nAz|%3#y7hr4o{k~oec}7T(~+Kd#!rT)W4_G) zB>4XDbd0ker@#|W$97>ma7=f?(=pC=;P_8G9ov*`n+?zTg^q1cJmU^{x)C~1_C3;s z8PX=HTS;e}_&j*FH67#Z7j58)r(+qT;Lm^;`(vE-qg@bBN4ppUKN{W!PsccIpd&o- zbhMi@;mId<#W-z-`AdE_z~o_?*c#)^i?qbk(eBQIXMI_3I>u?MluP7bJy;*6k%x|P z)|<4%i=&RthVNz~7^m(|geRVkc6<)}Sa`8##%Z6lFXHK#MtB^2A9y;(Nz)6ScsiEF zyw8R24o}B8%j^M9JRQ>rkB6rn(J@XM+8*(AEQ@)c2j3T-j&YXRAD(zR=0TqG;l(By zXI}kGJOY&mc}Pb*9plW4e8khyE@&V5@LBM5jJJoUjS^3H8hin~3;uL?I>v{<4}~Y5 zZa91)Jk!WS$M`UK(h^TM82)<r>)><Y=?1~y08c#A>2lzG@P7D#@N|q%fe*kFPsex# zd?h^bbd0k;tOxOQ%!52d@B`rK7$=V#o_IRO$x{qZJRRfAi}DjsHvxVs{0;D|KOOUB zKEzLer(>M?OoJz$j&bHw1y4L3<IJD>B%W?E{Dtrr!<WO;F@6F3MexMaF<uJqg(se_ z1bzlQ>6s55<I~|uPdpvt9(eK-Pe(Wie+fMEqzl5c9oe45(~)l`d=Q>Ibd1w3NE?Kw zn*@I;{2cf)c)H8rSue_UIXvA&_*w9zB@f+fc*;Ur^3XATF8men%#)6BrZX?%=@=)T zd5E(ExDx&<c-lD~;{)Lbz!OiG4L=W_Y2=|}oOVfC;_29Tu7<w`{#1B6#s|UEmWiih z8sTf<o$z#wlO`9QcslmG`S8p``X%EN;F%}!bgVn;$~5xOF-{pKz!Oh53BC-T{f+&L zj&?}9TL6C}JRRe-yM^$?)3H5h-=r5h;+QA%Vj3OWhdQP$(Z=Wq6GuMDk9NWQSq|-- zjyTeihG}#jc;c8g6P}LcGB4&y8=+&!INO*uK{sGTc8~TCVmz-qWFN+p;70>FB76A2 zY3Ufx%lV0Jrmw<1)yOPz1zbjEv8TchRH+NURVa7{lu=cNtJA8=T!<5zPAJpo#nsNZ zjbvhlx6)@!b(PZhG|F+s!MVM9o@WH6<MI%HWq}HdOI;HUziX<y$WX<Uy337#H{dEI zfLcuR6roH{foAX7`#hu4Z+Hs5<@rpo{QFHtJw*kj-onYOYpGjhrwZ-ayZd<tQQ;Vh zFnliN;Hq$!2aIXwqGBcdDJ*f7PjnX%1VMNH^e{3jaC0+Jncf0Jm7yx{Dyk^-7P)oZ zdi3m%^a3Bedq%*3Dk=&Cl!d`m+yzXr5uJ+vlxleJ|Iwh~3YX77tiTf}bNMG5{!&ko zJD-{~A*i#kvVtniEUNH;Q$^kUHT)&sX_MX4jk3yso7wriext%&>I#64<+w}TWvqQq zBXgSDGqD6WPft}%q8dRJP!TGsLbY6lyO=qW6E}1#It6=XxV6+!F-poTuJD$z2on2C zD=T~@MrNj8{mXGbQrV=q?pPy8XF_O4T)CIYe;Mn7&}?C1%Dsj^0R0&5@*;!GexuM^ z>a92zjg9&<$YjeI<)rp29uxx|KrMcEX(`oFXaFjN)+;8vE09`QUgXW^9c>DrZWN%b zs?b~Jqk$M@0S~hEQ#`-hJsG9>{cczU%+FVXJ2}cHmO|I19v|wbLe>yj_zm2HQ{v6{ z7rH=DgnQg|9wnaQKouGW!F1!CLHR}A;vx^a3qTkDK`w5@AzU!IL>Yqyd0&o+t$<Z( zUGbJtw7Iu99|l)k0qM&tbcnKxi*Z}N;RhO4?aud<p>op;OAYU27(;2mlkX`n!dD2T z>P{faWPrUA8F-)&=w_l1CR3$qlj*|c`!H{qlNU;KgUKII<rx7V?nYE?i54tCmPS>D z+h<JYPhc7~5|~DPFiG_SbP}JUL#Ha7>@H%D(?baUTdvBu(uYo|%c%52|18|^a|4>_ zF3+!0zth#P?p}UhmErRHrW=`4%h}IR>q0Nu*cUK=%iR-|9Th2hbWZi305U;mR89>I zI2a`+RT=!9u6}1Q3m^X5095Hex7T^f0vLi%39QVo3?-HtK3$p)SX?=+*XM_bZev=B zr?4d7TN!{tm8oKcz_^E1++?H3U7U|zPg5>-6_SksFbrT7K8Dj=6)IF!?a>#*R3?U> zBBeKF@|pesLqB>5h7a^$7mb_0feMaF>LQ=aLYe}{JJn^oz-~N&<GUPhbjkGKs(n{^ zA&jJ4P_WrjUSLQ9j3|EIO77x-q;*JZLf<NIpWF951CapwAG;v#bz-E~c}ii5b}HIc zcY$(m0M>?nSb*=d{gB-kD8XQaq6$^RtL{<m_4wTig6S1hmKp^W9G0M=atws%CQ3CE zsh0x&z<w}|D2B3$`9lo+l)4Hl%Uu;7bT7obg#k<)ux^05PXL<8+dSFp@?B-#N(}Ag zezuUV=hX82X*~@7_Ef*U)NgP8mbt4iS(WFLwTu87PD!b%ttC=m7+K)*d;Dlwh^4@u z)R#6OT$QEf#zFvUY9yd0N{zw5&fet4ILHpg5IvIJsj$S2&QqbrjdE8(DVhd-1&z%f z5U6moOO;kmgpiqq-U76hyL>9<M0Y;Z{mKgaoo8SgWIJI%VGwRb4EP#R#Q>vgFN1cj z<_nHoMbkL36ivgNjNbzF3n~oF?uv=im0k@$Ohu1(062;l872I04u&fb=)oV%I2e(O zVP|L-!wmD4-uxx5q7c6t`TV#o-r%^TMqz%ui%2oYaNYijjVR742vxkoH9g-?S^=hq zpcx@Zmx%e@m5*XE`D&2mgrMnRaE9S3!pM>zD1iyXdd(tW7#Qk{I5uETgF;+IC9YDh zKY(G-Us;~-R{zz(ly35Lr4Lod5^sfP2G%Ls$}w@F6JtFEWs=Q`MN~=8UI{x5!0O#a z`K79Jke17-azBmU6)4MR=kefQ+~^oOxaPocmXBT&z?a&jf;D-{)xR9DVrf-sI4~*w zW`)_^0D}uNC1)u{)F`M2I+#Fj&Qax+Wxf(`0RO<ljQQQJioy~`d?mV%0E9J8DJxWS zn%S;Qhu{bbU6p?PSA+tr8W=4_&o6?36P{S=oklY<L5$4;Dt!WtJYZX8Xo_=tV6la% zqY&nbUzjU?3yd;+s?MK@{3*btS_RNXS%HGECMhd0++`jZDu#YCpm5dBWTW2HtdB*I zN;GD0P=QgP?fIYXODl0>aN%^!!ft=LyA;bb&d4D+-xG>4TS)=T6g89?fhx2rD*!;c z2kp!pF9phH1|^s~uqeUelfOL;XvgnYg=&a2>;hDqnP7=B)oRX)F#@3|$~}IsB?C2V zD!E)3YrKky2Jg;Sy^kYBekqq|7~0jE4Wm1jWQ9frtgjGNR%Wcyb$7;B{_JiFQ{Y9X z0T*;xl+WdZ33B`p(B+5enG_g7FlkCutyFaiwgiEaV$@2~EK|K-jVYyiWI@gIb(>;U z$2CF4!~(1mu?EoH6(PGE<E0!-%1X7IMV{hf4jDxlc4;O8V?Q&oM0I4?2>zi5#!sxw zI5}37Vba6WQzd2s>0|G~1Wkxpz|64bRFjH;A+#DY6g`P_ER=|{z0(v6`e=xVup-IS zo2=pr+_%VyyqME&aVh^FQgMlzL#n2$M5Aar77`rl{je6@={N;2hN=qaRvm#zJz)~^ zuoX0!8Ycj9p~N8rAoc?2vxJl`6-w>tfWdIbl`48JjG4a^)o%fRi*x~me3*0;25o>a z%vCfAeFdvk%wO&b4|YLnoz$}rRwkM|6J6WW!<f{=nB2qg^fV^*G$!{{I{|MgJ5DJ? z>uF4>RI3=wuvkyx2Roc9ALof8deCD`!33Pi1&-eQs0AAKG(=$a%eI{6fiN^?>=$7e z3N)vRscufTRG|xNJwxxdm^BBsk{(7$PoubpQH<YSMhSL!SaucCYLI(AR^>kYBcw|8 zI~AGxy`_~pn2KEnN~+YsRJAp#RKM7hPsWl9TsoX;1Tes;d7^@IA`6xn_Olh9qACMx zigFx5lw<bb4s|Nl%0^~@+Y$|7!tj=3+Q#M)>vt^QGP%10A*?)5!hI89RXwNz9gypl z9{lNPRyrSwF)OY>HFIc-!(y4MZH^VnCjBLtHVi%GPlJ$plBq0J+qBXWwOci+yv4?J zcyj3yu^0xItISh6{al^|WKJ!n?dbqgsi;Td9<;xY(z68%yx2(;svt9fWsSQOBM`Qn z066|IXHR*tmpe%n>RBCj0W*g}$^tqxgEF;;&n$BnO+;dm8B;wT8)r}9Wb9bbMX=B0 zN+Pq2rSK3y9ZBeeiDCt#W-1SassMy0Eh@{2n_K+?H#Zz=c~tg)jhzR4RMqyj_e?UG zM5CgjVn-y3!A23mf{=s&N+6N|BIuY&CSgpOm>$%7?Om_E_ujkMz4qRF@7;Uty?)QT z_Bk_&f4#p?e6!2hy{x^~+UuOjWP&w^{-hz@BQ**R`_q3<#SY5SR=CA>)`&@P2twlE zrP*McGioBDorrLf&br%rrGn^zCx#)08y@dcUYM(gQ-K&KgT*XqhNW8C(5ul5BI`3+ z^KJH*qgeqevzqkROQDVEsX7<go>fCQm>ZlWDpmK`dNeEWX())0lSsn5Ls4P#y4d`Z zd61tI_K494g36b$Ab()gkYtq%6+x<p8TJn3O=18uYnmPwQ%g?^-E2z9g(%DMn_51x z(l(P;m(IPgNq$JerdYMP_GDTbY`%CbuO29$kyAE78bRG=iP@@^BFI-b%eS*M)mmN$ z<Ihs@F2h~dhisuyh1ju1n<P+ia%Ng>AxLIM+=Z^vXIsi}RtyV^*?Vj!OL<W0MI(8= zPt#=7Qy#uO%3#~3Y)r%Zs%b$6^ZT*0wsd7$_)sabB&{@lNkw+Hw~);%N>EdEt7DQ< z{YffaO{<-$ozC+RouVQzPd*3TZ0cxF7*&^MP@Bfo5^P7`<p!v(KiOC}HmhR98G94o zq0jBK!i4_r9@BT^3JW9n8osm;8Kuf}bS@erDH~GH)`gwrv<aU`)j%3kIpCrzNTCs7 z>1dgi+akh82TfcHlnqLtnH4obfRfYi0t$wt+QH#XsmxXbXL~3MvH4n4#$C3g8&jr) zVkl57Xt{YEj+&h6DMxSRHI(T#+s14l)u^dMwnxk3$y>11GSc9b*0(?;=J-)5?PLNd z0scfAttIrEj+T{Tiw>P_AKQYzEM1e`v{Mp3F4#9{XC&0w14xU}MP%P@BZcPio4797 zndxXZUc~xUn(SHPrPhX4mtjQFPr|2Yo5GMmOCYx_8!f9Q&M6~vZH$*!B<XLcye##K zrcOJMnLST+VQZ8R%GBSMEsD+(^rV2pj3YisX2s*LM{5{}!a>NNFsg!6Sp-w(OM7R( zRoCDNKCNx=G~aycu(Ko`UN@|W_PRjJDos-t%LsiZk{>568;w9+cVDgddSz^Gy*8&( z?G@4%b}r!zYBnn2y>r?jX<DaKMH2#2ACeBFOeq7XTcV$d7b3ns+UJD7=w<AU%`gYf zLLq25`@P%#!b0Hhb&YTsuo}Itq1!d|IOu&TOVc=(iN@kcJt``JJ4S!T>d!d+QNseQ zaVdw4^zbygkF(I6glAQQfT@s6X|z@YR|Xt=DEZAJg%AZvrBIGG3|UJWrAAaNDJd(A zloAuDIMh*X2U|Mk36vh0WNs#{#M~A#T~!7tfpN9t(DofFFmtW#=Id@Zr>(_nb%GfU z6C<pOkXjJ8C*5gYJGpF#8oJx*oc^K)!GSu+F@dMi(RGy1==~)+NH}QX#AI8f5gtVf z{DgLd&$M)jBSVMg8-0BOLdtR4=3Nf0wl4BicVswLJ1MT#6dBsm4PE?i43JK?RBL+| zGACN=U?LmFXxwtqewWaB)-xT`(nHsQ3Ig)!wRKPuX=tbp)>^Si6ZBLJaau4<Xf16x zLJxvFqyb%z{@4?=zn$EUWZKj9m4W=C0&=qtS&=%r1O2;OVm~6uDzl$dWM6jav~L&d zrb0^@*I<D`PDDpqD@98=jmTf`D>N+-T#UKa1h1mZIQ?9qKm548@Y!p^AEagd>*}SU z!YH)1g9R(oZ3rZ4Uj>TSD!aZBtHLC5A~Mx@5nW8Mgm8Ka&EV*Eh5_;-ng}+W0aMgY zT*A%>^VzifNN6VaIC|^_Ise@I5mUpHvN6$~>E$G%6cLf2FqVl0Stj1)Rtm9)pqwC2 z0vSZ*cP4WUK#*owgJ_L#eG9rDu{eQ`+FUbqidLoe@;)0^@3q4YWo1H(9ZC<GlPXg_ z6A6?vNGY1uA)R3dI{+?I>QprHt^O9mPE_xusKA5v%lnWGYPyitrP1-89>gcMRZp5z z*^U}0=Kw!Bv+?x<{LM9UXUt8M&vMN*JB6N_&@(qtQ$4FTcsjselk?9nuXN27)nK}7 zo`t`9u4|rOP8fext!plyK?Frpf&NV8kIv(?)bCn~c7!s<tZUTU**5mFHbfb8Pw7{_ zjz2rS<w2onPm?}|9p)oiJJFTvCR85Jmq|Tr#75j!!~E$9mMoVa92HF+bv-bG4e2_+ zs5+XxlB#`4e`mTLO@P0l$<(z3r8nXANm)k<h#Hy8Dl%6`uP66mZ8fYRJ+c}byO%EQ zH(d$pOW$J7ZtYW(@YT8+i%#t1FCm$2_7%gTt57<|U*u$J@k3WCS=CNz8wb0VOhHEw zENy%k=_J}{r$4sD<v~zm;dCbJ{fewZ5Ej?2z0s1%Kyv7m_tY=RG_xeF!o<u9*REZk zM*U%>!>6@m*i5<rt?NP=YSOJQJ>AycEeX(?<+&~Ca}sq8J>sMrGR7(C-d1A2&ceR_ zrO?}yu2zUt2tlmHC~{MG8vcOF`>UkK@e;(q7*3%2jP%6wjT6rXEqOLH4IM9+t|(TR zckbNy%bgp4QGjzFS0fhIeAC#vP1=7NiMh}zE^i@j^HVK-f!iOrOOY}<n(X(>5sEvP z)JXepf&ziEGFX-llXt7pBp|uNfG3kykLW#KjyCyp9EoakAZA)Q{%2=UlyEcX{HC4> zVXX~VkFFYSWqmhEpzV^Xh2_wp6o#v_J4V&>tj45g?UyjZglFThZEwwNYgALj%Y@;n zrV?(f>!=i!wx`)1&elyJyh(j~XDvs$AGjc(vBSG_cOCMPH1%RCx;WQqMo6&-M$Yxh zB2M%SWT}5}!a=b?N-e>rOeUa+t&n_;40jG4`qQL8N&RVdOLcY3pC<iD>QA#Y;mxp& zou=7B8RnJ#cqC)82cWB>^eq{?jnm?=Ug-3~Q<muqTER7e)tjjo>0<fLMfwZq#<Vv0 z6mFK%+7@DT*iB8)6J4AriMU0)#4BW8s3F_0vx`M%Zg6yUb}d1Nz(VwL7W0Q6*^|H6 zOz_vXhdkjiC%<Kuhu!ZF6|U0>v$z^{D&dga9B$+4U@SQ{y`#R@Wr91eI{QT%!gg@g zW$fOGP+FNNTNeizcJzR|qionnryZJ#Y8M}z@H&B9xSlyfPGIm<j_L4&D<^_Y?3h$X zcn6isWR?nu6*R|x6B}O_M=Zm?gewk6hXz&$iJ2$ZBx%H9qq=l&<$XxNP!g!U5)*06 zN_!nQ!2C(03dP4CCZ(=VDaD&XblG8SZWsuS6Z{>iVBZ-E*NF%Wzu(ecsl5SP*3!;4 zMEI;v1~K(XAJJG}Z+jVchTVA6(B7R={gvpzQ`4w~%f{Yt`!w{H^`iu;PIc56S?5te zCwgb<RA@<Y59~9sQe})#Z#o5Ul2hN{tCS?@>is6(i<Lhpl?7d0cSAY@C(R>Rh=vp< zBx!ao%hx{%Lrodf`XUt_oE~uCmPCHI^3d<EF@3Vu?mi@M?see|l}%y4E7I^|wmVpg zQa2}{c^wF}$nkaom<vPq6H7V4n_)Wpb?z}qonGXSC(*}3EDgJF+QrhKmlkMjv~HQ- z>;>A*fTUeF8M?QYzDi7$8COWj$VIJ1NJEN|h0#z`o6WVq)9r5=0wYH$sxcDv>1=ZS z_E%h?c|_%q>^e{ui?>PnZPWn4<Vq7kFVOaDwYJ*W^mTHE_Ulid2yrI`nuE9{{V;{X zInd&8O$R=d{6=a!G|T!k#{P~)L`&Ju_2(rUB13DDT}0XK0Xv$G!sjsQ;sA69*;$8P z2KBdT;O#a*dsHJI$UW+59||MauRlR{u0Y^jo4Deno!oX|jbpCgBZ^sqhD>fJn*&}{ zds}>szuisNHK!74jd_AQL-SiZeXJ(ld}fH!0(Yj9)?yd}Zq}rc^I^u+h?+grl~^vM zL7F}@9JA>&J#R97W<YtS&kV15r_b~%I9<$4oyuRG7O1*fTNKllNg@@<S1;PZ{hI4< zw6Q0j8G)$i?#|HPp6)}MN1_p#L;oDs<JF8*pXM;|_siiU$V_lQ%uQ+bih1hPfC5^x zd}*u{)jgI{b$OTR&2^7EG0q~ET$ideIcfS#i9{VfKq-EX@MMoe{8VXIiB^kmytc0e zy&_)XwJyHc?TgHS2Wi%OIBFOg`<u``g$x#bs9T%RCu(exsMy*rbyISHANhxQY()JH zsb=d*APOR^YhjPG(b^;FdeQ%E6lVkLkeioOrVUFasEqeR=8+7%-}idY_Oaouo4mnw zG-EkVoR~N1!L?PWh(LRbPxnq?8ioMrSdnOPvrJTi*@jj2-4KB^6AIG$E?5lbnm-je zL&OM*4h2?~6QqYrc8H7a%IJhi)wL!#=g_DI8^AZl7zi{x2p$rQI#Ln>@Nj)EpOs(~ z!+eV{k&z_;1j+V<lpzV}V<?rX7mY*dF71)O)#HSgVnz%WQc_p4+p81yl$~ow+6zk! zsU|L(y18Sc^Brc7#JF&z+I@d#s!59vMj!SQ{kYUTy8Q6>FN_cuCo+~|!P#mLLc04g znizxw-A^{u&H@f|LbxG-O>JS=PKdhhu1vZ)!7Ug<4HOzW-)^Ql;c~GHFs_<{TO}4y zU0WFFzyzQjBLE%zf!{JGY$9|mhpM3m20;dr-XA1m3(LsIYqBA>TE!#{jbz{-xFHNB z9&Ak%k=;)I;!?_$KR;k(xx~yq@V6p5N7Go4S|LGHFz6O#%Ofzm@QIA!lASEZIRjI6 z_P4TjxpEp9Nsmlj>u)R)!OfR1DElm^_OBmmftk(CpvR%)=S$L&0CO1hA_&1TV2;X$ zwtn~_G<|`$S+rPh@98f_N_|2UW1Nxf_9S9nq7$B@eu;#h!9l4DZL|EJ(q-g>8DCIs zwvU4woQ>{4i4nFCu0{GNDqAG$9BZJiSaNaxzDx^B#6@~)tzZeeh|khmN*P?weSf>L zt$yEkn%w67s7dRWc(1hmbkheAQIg(gN3{3qIcKX6w5NN#F`NbcQiM<;8}XMr9ms}^ z8fY3WH^&Z^vZD?WrimX3hu{R9Tj&pkI4v4jVe|vKBr}~$X+0zarmB>yZQZBH1i~1D zQvM<Z>M9ads!6=P;cZS=FMOnrf=0>{kQ&?n{!-X>qLi`zS2)=S3Iys4cDh~WX=Jz3 zp9%1+T_`U4eFCmkWsd@XYvfh^D%D1&b=<)~l#Ig-)ZuXNp0Vh3dvd^gdfeHjOIA&u z`HaAr&+ib5Tav1PJ859lI#JYc-r-d;)^I(y`(2(96>(=xFvLqU*pZvTi-Y@f{lM56 zPpCDRc2Nmi3p+|eBD{HQhZdNYO-{wHP)@@y79;meq1-c)@n}qN$rF?^FbLnED<HSj zWMJ5C?u60MQV2JRT)Jw`u#qcGHgVX)r%NBzqtV6ofQ=!dsZvqrB5k5C#uyf>?Jyr# z+im_u2%k}lpGB*M0jtVwhxB%J*cwTNP}gc>WQ!LgB_ve4?b07rfo`+U7D$^JRG_LM z2gV-yE2R#1rjTh49MW=ZS&Yq_rZKQI=<?S9EI>_dSFb(q>eZ1Lcyj|OTliqyxMobZ z%d)OfhbW2NQZWFCGnmLR=UA*!y{B3jpP0mgl2cN*>X9elaCIZZ;C7{TP;i@|n^|ns zv9wpS!^vpz<8N_xfJ(c;A&oqwodYS+zLAq|voRxRF2adul&;s{2h8;sz2>zfFmWu3 zKIdK8G1~^EFz#<PZarg}UTsLd{s6>MFkzloAer4+WJ8+ZY=AnI3BrZ-YL|=}IgNFx zB|Ro>m)_MjzA8l!P~}<+{xFB!$kaWJ;>P~+@`bWVpJ?<-FJefe=#{M+S#PxL-y-mD z!*ryuf)i&z_h`5TE_9`JNijiQDDpz7+NHAE&=Dm?znCAC1FSjvAV0dCu9lRU-axj! zB2V#)CZf?(&!B4d;)^;jb^~?}Z9HORq7fMhk(uj3y(Gg`pYqxMV8ckMt2Y!hq}Z$z z10U7c-B#~y*mL0om%eR*W&40w4(LuLg-kT@t`2{>O;CZl`0sAFqD`ZV4m9o8wAoR! ziMbxi$lTS;Si^%#O7S2DbDYqtjM7Xd9OmTOR+I)qPj)MkZH_UVrGd-hSYaN`#>UI1 zL^O0Iy0O@S^TR&K0*r@FXHn}#Tlt%P_AXsyb+J}NT)j;MGk}#2yTNbgP@D)&rCL(D zS7Yk*xD6dBvm2b^w1U@Jk_fjxMQ1;^gsgN9w_aT|h=Pbkhv|{Bu21jkXuIG`LQZ6z zWhO$Xs?F*gom0ENJT#9@i1}FD7?61{y9SeWsG_}SU~yQfqI7SNieF^RORavD+ExjS z`nc=UY2xjLf>(+lwB21Wj4UwhqM<ajfwLvp#Aa%4W?<T%no`cN6v8{)x~*WlrsUQw zVM~}{(X61T3Vpo7WY%Deg+|!qd~8*l^(v7C{D{DmL7z1?fpv!u*vZ7YRRv)#j^&;N zw3)x?{?o0zXX00k4wbf4HyS0g#8S3Qn<9flcz{>uQ5Zee@^zb~Da;9b5nZ(6vVp{s zw8HHfmV5Xhbc1Kw1!khDcndK5R-^@%Ajfp2vd>iVpg>THW<pb7!>iZuvin~`uySD9 z#|^1`?I>!jpOVH?zC-d^cXIXVm{4*VSjzRsl6+Dr$o0c3pOLw&Cy{%=khXQAHMb6l zuf;^1^xntf*LABR#DIqGpP~tRV_suYX>*5FZXp-}9hb@}Z|DvvLD9VLWtDirREa## zoq-j~hFC|wn=r~&fw*HxW44J>&LM&hXuVVpDxcy#rA~@qh)CIH_G4^bznILMR0%$T z+1+`sw>!<S(Dm5VewI#*hdjmv%Hs_n<@5VqJ{x4tK)+^@mFg@d+fJ8017^cBY1k!% z^Dro4Kwtk9uZ}KJ-#D2N5B;chb*G(VZm3$%I4+ZI8{3&G+o6o>>V#2}<%8?OT!0|g z(TMW+_`|T;E`fmRN)J{S#X^_qvY|7ri^l3MN;T3wxqg*m2BrvX3XHVt^;Dk`(Ml(u zDSAYNvjKmOW`o*3sFH(}8bM+Pg=u9j+|L^(Qbq-eBe8zjP=BM>xMd?4Ra2b0o{rWQ zYadD+JA*oTAuT0w9G1^h@os<Ip)zgi7Fz`)+rjydJr9)5SRZjN820H^NnW}!Mn*vh z7K~J%)HJsG=&O0q{BuzvnMfNBnUH%12uoIYA2T?J$ul`~1Re>2rDCsQN&xUaDV9+8 zHz8cqwJkA`&6F}kq`KiU8_-E)BY07aX7VU2w{#^FI{$dti?f=5y;SByra|{YRU*_$ zboF{8e_X%%tY3t@%fzun)O}`5{0oG`Yv@z0rX=;s0S%&#ZriJYo}7j;HxkZtpeHax z3d|fcNuBAOv9NlsLre(k95;CXjYEdVc06&!n6PW|0~R|?Eih}oMlsB21lo*qR^bxy z#WPxITEY^ESR1<Kr!v2mEJCyHgH0`__7>}&l@4tQ=~c2&xj`Pzeg;#d&pbNhyaa0! zieA*kkiHEOLzSb^<1c;@5%?U|9=8E_bTwdXE6g?Iy{)dfi+4oydZT9pu{rFa$%s%G zAeUl+Y$t}T7ODNj#E25guQMkbfYpS9Y2>Df)r$cU3J7sZu(#;l^vHW?5p!XxWtI%L zKO9GtNloLxc(?<#&r5@BckOr`UV2@dNI41yZ4b^hFPTD&q;<Cd&-;{KR-aP8_tFyc zrKEn=6CWp!kJ3}<nHc22E8baCi9llo8)Mv^HuhcD(=?ow(VgrO15GpK^;AGBjV)-3 zPt%^@9q^QGqe~c*xWp*=sWD4VKa(P+o@w<ATBFy0ilHyn+rs`Y$|4!jcBYu7&J@gb zXKI{df|D6|KGYxfrW*G8XyEk+#kE<ensQm&Pw!;P<<<k?Mh6H29%MaB(;ASNq#WnE z2ks0LHB2|mV}|*9Yq$=JMrIZ|Q3`1jTO6MFMCcM0-Uc!!qXWv|MD@aV&JS~+Eq*`} z87Ku+slS6#S;T<n;k&e$ee|&V0{K2`7CSgvX2({gMubA-v|?{7HrwJgH+o>MZi=)u zY%|LY!|UUDC*6;L&i}?O?XS(jUjDC5#a`p!nf40yr>PA}mo#{7j#mtdYA`05B!lD6 zbsHS3Cfh^{1?@DIj92w|Z$@u$AeG3rT@^{N;@X{)mZe}-bCC}}KxxRdq8khB9T7M( zUU6<<7qt7`(pZHBiEAvko94zcdnK%)LNaE<&cOv<a(1R%%dH0aA=QV`hxheoeSMhT z1#$9O5{t7W{fdJ;Dmjiqx?zJZdzCNSUi?)R+te@l8Z&Q_P=Y;4x}nnU9<1Bu#kLX2 zM$&}Hs9s2-lah#~Lbp2zrUvbf{<0+PPMo7749dV;_M9+{YygOzKSxncX#Zm`rFVgN zB1NvYw$jUGp?DtOD_?XPNh``8R!X%2IntD9n96WiacGgm+nURxO+8lctBaZ&+nj*b zn#bs<WZYaZ(PMU2-i!(oqSn*h2KxhN+Ug+qkb78*X6IiNXC<%*q=(R=Fb`){3YLh; z)M!eo=SEw)AH9LqVt>X$)ny1hTZCP0=*l$lk%erKOx^wgBa{oE)<CV)5E2i1Z100* zv&pDSLx3S8#39>3(q;Wp&)QLEU#|$v;~|xLEx=kL8&LCLw8`OTW{pg<x{Sc7Z&%>* z!j#)H(;rxKQY37HeI>$*x1|DcgNYFuX-%r$RQB3`i_9DWTHKAw#O}3PF@o!5dGh%H zissTJtSs;_0QPMRXpJelWH0S6$ExY3Z#ByZhK!ncO;1~tpe|P=?n4IQon&9>y(HCZ zB=F17Zew<tfL3(Z^}M9cS<0L0(tq=0?4mKo?z5Ruq-ff)`ZCKTtyQ?mfk7T%56F6x zm3<;-<8P~;hst7pwxj%%hPov*Y6=R(P<BuhS|IpQGc*zJ&z8fXZ#wH}a~~Wmx*Y8} zjPiBSN_<e4_Li@exS&qrvOe9k_`%a!#W=wX??fedou(<li-ds>?iI_vFgE9B5oa_3 z+2w~KJy=j$M71IoI#_M(X`*Ex2z||lg9>uRyQU0MuHH%rEI-vnZ+Gcip7nDo!hGoZ zQ$Fjt1<h9)T&wHMK$x}f=a|_^@GTBzKEZcB7)6c*+QTc+x*$Q_ts@ybS#(j1ng50Y z73V&tU?;0DRdg#*VPb5=(XXYaMPqN)_|Gq7+PU4A(H-hBRAv?mCtQjbYec6JS@vu; zLV^ryR7WJ=8N!}`s+uzXO%{Z)mbCagEf}MYcH)_`N^F#(yXw+*e{5p62xstCCbt=3 z5`?})m`r}9^1NT4e+6Wzcl7ofuQ&3S_Z#8sl;1qcY;wI-Z#S#v(_50Z3G4z&uNCR- z59X<93731EnC9B~ZazCwlqnb0iP^j*hH&VCcaYW;O6qmvt|hE^Q#M;w>1K1h?!dft zdY{Tur&5gq%#jWfmu@!ASZUI3AJl7TS_4!$A^kcUHXomj@mlHuqa(G&pM&9;+Ou#_ zO<G|QX+FH)UuVH&H8#rTR}a$7T1#4Pa8Kw^TWv-8anvg#Ty<b*6OgUo;~vVV&)lTz z2Sm_cJ~EY6@mYvNQbm>{7u3^BMg+Z~31`>@4NmVr7i6k@toZ7?{M_p#fdcE6!j36v zw|lWvg5}ro<vl5M4|?57gJ5eyulR^F_XnI2XNI{WEk%@0bf3*GJ5&mbUJhp=#!MV% zwg=I0VxVUer|p*waL{rCN%?XI*P$410s;L;jtp*@bs-wIL~4HD|FPQMl<b#HS2y(C zgj$;{?iDP)5ve!h?|v}6HQB+8uHe2os_h8j>n&&#xRu&Pe-`S`u3Uib0v3W@Rn06} zKIrX5>dX2OuRH20mqKEDayu{hoD>Nm%c!2PFyfTUusQuQ@_xUJ?5hO+q7>5vAGefr z4%0Zk@dF*0B=TT4EH(#i883<Fj=_W-iQ=UAtOt|M;Q}XzN5_jumOlHSg8{As0%TN5 z3IQKAuxzEwUFYfZ2Rh0*`k`<3O(5~vw$VEoTrOHoDb1M=6=vwU?6Dm}$*|4Awl!u| z{CYM@-}2C95npu5@cjvvVvv-v2(~(R1uD>(6r=j~H5lVq{SxM&7f(iRYZ%)?Hy2U~ zF?MOc?ESVG6KtQcfjcg6$D_ICt0bvDS;^@S{0b5v%4{jRk+0P`Q^*;EWhyq#Mek|` zeV29bC=Nh8mGzN~-q_GY2O49{EjPbXk}yd@7r9GN1>~atejFit;y!USJEKaqZ6)Jo zI{dv6#dmd@w%UiWAnoG2E2%pB^pPheyikTJ%s!+c+bIUaAFkYpNGZdL@*bH2Hm8=T zLHbmkDNbow!jD`w7+ehm>K=cWgWd;Cgzo>e&7Iw*bf%kH>yWBtJna3RI><awrhyns z@<vS8INp(mPTH2^dm;KJ8QippN#7XPH`eu!asA8__RS$Xoou$T;qVF0bpI-WtaSNu z7JI=iX(<&Enhj&0VMzwYKc#j%W8WDPizh808-dcbPh{?#)$$>SLL4F5PVx{(-Jb9} z%o{hdEHMTVH4E2;RNy@<U<OMXYx$Thc_laNV*@@3bTK8##xn8*RU}F({+dSLOx8pj z%#KZ-WG|`Z@hp#g+KnkII?erRM_@{2$~z1bm4Y{8ITG38x~=K(yItNv@t)JR1IU<i ze-zOd?-84>r3p#qfYF_k5ly%o)gUI5=|N$vkZ3$&A`1ye@xA)fXm8}h5?gysXjEdh z12=<ushXkaks<;GAD;umKqf5`rmP(~Pf$e%T6X1bNP87^vJMGN4P<y!f1<&wEzxeL zb*IdT>!lXbv$D(%KU^?I=qc4)b_w)Qx2>jnvp)&GQzt!Kcv}o#VR?O=SR8svyYZ;i z-p6{?tv+$yLf#)$-p|#e2F%F6$R1~w_{Fwlic?IKH<NB?)5joqrPAIp4DPX$NiI@D zLs#B`*C*_V^Y5Yuqe@r|vf?F`X9KxKlC_ichhb=6se4AvZ}zb*plrz0PId>9OCe>t zseMff?}fl<Ur0Ei_s~p5>p}&EGn1+NE=g!w8I}m^Fr~#|gClv`*eiy~kYlm(s3RJ$ zz&j}3+H5)fTX;wlwk)9WN}uFP)@qTQpa|a64$g9w8hDLYOkgl&GnotdH7uTxIk%e3 zr<?;r`gj=$7*A}REGa8lHurjUP?efTFAmz5bTH7?2X)5y^<;i{ZAFb8809Sk{R4ZQ z(2~d(eAWwF1&qRiWVRS3VVWrjJQR)LW=ikP_QCkKnV*5x*=H}#YQsnp(sSE9;t<;! zmfGs0(Ne2xA$CY=m+^uo(({@2(y2bNz#@~=j_t9%s7E5`0!jmM?B2Ax)HC8fkd4;; ziXSR_V8P&3aVycUAC)arHcUo?dpW&wo7<vBrfk4<C|gO0hxjxHzDCaqChTo>UugJl zyM@eN+#f;oCH$Te?|Vb1gO7%eF>gXDr49}z<a2!n$7@-A9p%szSKgC$T6j>GZr%>& zrkgK5NJ9~fuy`yDwSVrtu+VVdJ(xcuO7a;qab3oPO9N;d$5`#)lSCSSl<CaAJ!WUx z21`gGB|@XuM7$D@)o0=%_4$%jFt=UIzPJAiUcpxbgKol7VjL612W_Mn&J{Qhjza&! zCdLvdxu`15fualR;N4tF(FzTEB67=7uWyhH@TyP@yX_o-_SqELTY~ubs-*vt6b*pu z2(FiOm`DL+>Px+t2Tc{f<<&}^tQ{04e&b{VM%qe)puY24yRdp%10VZ^i^X!-{@SSx ztEj_Ust;PpWOdtL(|LG1W~?LF1#Xr!fcjG*o%}4up-eOjE#_F+HP??#+h6-)07g^9 zjI)?=7Q_85G2<;}yv2-1s^&b_pGG&cLTVKhmi<<GF31z=Vxyz~uSBzAkE=azGt)lh zfmMHn|3Yq{i6Nrg7>u%N*=f77)Y4k61z1o#aXY2@%iyM)<w2LsgD&e?Eer~tl#{2* zJ|=5kR}DL!YEa#-9A*piD64lKa+UYF>DBX;Npor^(p=jhbNweet9Yb>T(w!z$X8xw zy(kwGSOz6^)7pBZm7dvJ#=Q$#@CIIK#F~Y)MBDcPW=YXyy$WL%K+0TIomYpt>5#5= zH@}iwG5^<Us6uj_CLL~>2pcc&ImML0QM=jt8dN!JVWw`<si{kk{kT;_yGV)QeO09- z->O=3{NJki%#y2`hNj<DRoI*HK8EhNsv2+OR8?a}4U{K&+_y#Fr`6$C&Edxvz2>9E zOUm@5KP+Z}|N4^#tUA*|^epzzy!qa>(krEu3m1y3n%OoWP=nak)|7oXhpVX?$?d)e zLFHCT&Ohkcpn&gQkkUT5;i`fV6QCJ#Rlx@-tamm3Er&sIvpnG*6z8XKV9v5`NcEsJ zRaiC-ikJ#Vt2ck``xkyN?K3=sqSWFVy#X{RwhT_LWpIopc2G=(T@}`+21U-B&rnK3 zJ}9;Vr8d(0;H3WT+Ck~ckvIoMXtfTCn5wq~*)fA6XJC9aC_?X!OR+jAvRq%e`M)vF z;%j)1IkaoG2&TLx8)F2a+`fIIcvH|1DyeM#4BL7&{>9-z&no=qA8ca;=_-+KeHf7d zWz3-T+8yk!;2Spzm80ghjpg^vpwzZ4cnhP(K5+3r9{CMK%9+8f<e;?EcomP;IVi3& z_^`!aMrOyR#y&nHA$3qX1{Biy7Yz=Uw@dnGo&qJOnq`|yR--j^Wn8nTx-^MpOrkZM z#P$J<Y~-AzX5G!5J>AumiIPAdl{%o^_-c$d;3?GFUbA0d*7bAEqTSA*sXgg(I$dvj zW9M!TQ85v@sLIN!_Eb|YJXJ4y`h6?Q1y8SMnc~s=?V0zo4W!X`)1m!hF2v8&QhIPi z*jZ4mH*2y3S!VAnh4X14D=&<h28WnUTnh_p=4%ivWG*ke*Rq<jDRKqWm??eGZdujW z1TRk1s22_k{7P(6;ZMq@%RGHP!pXP_XH?LRIL2=(yrc6SGr~XDjMkOXiZze7T2D@| zZqPxmsIfsQmc`1`Not-lU0|87hC5;N*ip#^Ki%QbE`#-Im|>EJe>_L#SlVPYvY^fR z?4a_6+qrJu+1PcNM<-NpTnE+J(H%ULnB~)pGKYn52pP{HUd7eQ0BPP#?^+7)T|h&j z1xTMsOX6x|em2Vt8+69AU|o`tlURylXC1B`5Y@8JuqvjTk*m`o)NUQA&3VmN4twJt zXJ_08t!|EFyJzu9Jzrok)91~ck&*$tPt0QEt4fwC;3sU<u`coVWi@ui6WRdiu&*)Y znwFdv?gDP(=cC7Vw71th+16Od`fe@qL0vbMdrKROm}Z|mW?yq=;kO+fx_SrEiOws+ zCOMfsjgzxs^lR)pLM~Y)d#x}~n}HV%1F&St3|0eSILsf0AujgSp)g#b%i%DPCFo%U z1R_`ITvlL)qd}iCa>=>5Y>@9xB*O4X=mx#!F3Tl%%s`VND&aF|EZa;*H%bMqGb=vt z51Z(cQyUsQLpmVJh+{5n)0GRBSLFPfu|H?GZJtXKj!rJ-&l%XIxrd&49T3ibYbzIL zL_8PtgO&>iW0i{#QOt#MEL|?Hwl`A&L4Zxo#X$(64Y@FDv@2IkC0i|Ew39Wky{xLF z4V1PqbdIeczRoXoYjD8#mr2E!3>gc51i|6j8yCU3H0Y2DpILFVMlxKIS?om913eEP z4~QE0xYllP226gC%_Vn2ih#LE*XPQDw&=5Hwb-|W#j^;_l5bYJ8TylpoyDDcSL)BP zRq3{>y1s$wYEV`EIhF6kz*LmhY*i18th8$$arpydp(?tU`%@eF#2kV{L;sEvr3NN9 zL!QBj%cXUg(>O3ymb?s%q)~P)G%$|A_&;&Ji`*p*ObEC77b&y6%fO_5I6`iQrD1dI zsi#R<o;Z3h1Esh1#M;|oX+9qg#LYl5(@l<2*~vdu8c2o8_)LNwp$b$C3YDc%;UG7* z42qr6ovJ}wmMzInO@+#rz*N@R12)et3p+!vNk2X`osTK#g;jgxnI_1eg~W|<pJRT` zDa6|fy?UXNr|a|G=Bs6^v?6gTb`~^IgX%b96`tcSutH(e^I>7g88-rB%~s0^cb;{c zfsRu`b;#$)Z%ZPK$Ud=w3S+a3P8cE5mrZKSx=PZdsCf>?q=I*hS&rUoniBJR{fM4> zg}tktHEni;UpR{LFF*KKh%Tg%U+60&T*$v6_>1{9$szn3ZhwcmS^Ns(sHh`+l&j8L z%<t+=bhZ4tS|87c@k@ApZYaN}G~DfnK1Kf>=7vOSBg0%_-lc^0;n{wX!pKC|5}oBL zNP~qRX(n226A2HC4CQzCwxcZ7?b|VoT8EQDEmPa_`DrG#XNskoNV(%(h1<pL!QVaj z6}BnlZviK|Q~A4?8gAjY)NZs?`n9KZXk!Dp{BLeeu~J{Ajwz8TmiNMlTE*=dJ)206 z_H#eFr%68q=)ac8D9X5&-^m(J+zj`0-bCDL+II_O&A|6DuJt#jTGq)M=^po4srfL* zY?sLE?qT<^jZtAlJuQsfNIlijk?unGx;uywK9xF$xQQ!Hbi<1^s>9s-j6yXv5219m z{a5#;yEJmYTZeLn5U;t~(tMf=jpjtgatd*UxHIU}C~M!QxGjv;EK1vsT4(XMm~qm$ zRFi)ePiqP7K|C|XOy~1Nqd$sTE9m(!mmleJr$%N_`rTGX7ipI;9-H#7!eTZh&v?ox zrUaF(f8&YUj`Bt_s>6aY8A7RQdoe3T?JK0r;XEw_n)Ts4QCSs)C(?^w-P`m`{|zB_ zn7h)|)XpuRMBH+$<>iQ9&PCkvE)VGUA|w1}YLqgfxOpI--=x&4kAVVyZ&T|(1`7C{ z&M3bD8v_ND9i{FVDByQU^Rj93dAbVWFkKwqs)WO|g@lKaIxJJ^wTf5c@4!59;#RjO zz7FM6-`5~6-&(mG?(#shs=P&DIj}q^=J#BcY6W~N;#&y};rC&ev)_nai$42bPhACf zReGWptwtWzs2Yax`?5v+)9=Yf@UO`XtVL*T(ykMvUzeEm2o(~$J{ZpLkZwSl5nw~g z7zs*vz7eSk@NW!8k#`eN3Puy&l$-_R+>G$%U<<Gc7)lviQrc=(;s&%~1ix;%A-|qF zj9;%D#yZKR-wOW(ur-(nhJs1iameRaEaUvbWt?>t=U4C6=NI=z;!~T8`K7yItR`R9 zRNOL9!oMLvzd0HqWx3_^?Na+HfW~VYsAPP!CiF{tD}x#MXM!E+b+Oe^V!ymNi?mf% zPBFi}I+9;mU7MZc%iI}vu9dkl>uGI%@ifZrit_8GQGStBV>pU2(#{%X^R@urF2rk| z7BZU4*>BWt!n1sS-7}wG0?lVX<=gmb?sp^o?jXUauVig<>^jBg^AkqJ{O-~y?xaUS z@$&ig$b5b+ve<qRZwdZ1*pogsGs`WMsD021+JN$xSpT*AG@jwy#rb8&I5a=bFKEX3 zZKpUt77&MC#`(3&IKTK8=ST43?C>~0h!^E2@uK`XWE|SBaoLz(nH<iqPi{sl^7)0n zeCSWU+aDZ2x&y&MKy!RBI0PID4g-g?f`$kE8$s?PSWQQ=ijHFC9L;m3SH5F_)>sM9 z8vGaTvEVpxJU9WI2u|YJ$>0=Hoyr<MjW(W6_za$%3C;p%gL8;K7o5jfoX-l?I9vcO z1Q&seY1JjHTG9K<z~$fya3#2kd{={ONOvu`4qOjz05^i0z%riS3~m9pg4@9DKx_OC za3{D6{2ScO&RB_Z@1ZUC;@$`Dr_B$52Z?)#G!KJEz@x-HM%?4z3H(oj5`HtbfM)~i zdx~&5&!(`;VzftNI1*^zJWcvX*?B8lA2)Z;umhhZ{d3@Xo@<<6z#p!I7b)i@;$8-? z;6E5>{9gsHF-8+@{^Fc)arXvz6TAi92Je7(!F%9+@B#P`d;~rQpMX!nXW&2Jzu<H5 z1!aE;z5-u^Z@{<UJMcYFf5LYDK>8oSPvB?be*wRO-@t*iReLVC9^>wJ()|JM)NlSq zCb>vNYgpqj-bEu5TwY{rPC~66euX^3FMCI}VJC4WM4;y28p<0=xCsApVEKq>;kM9* z+<q#Ka3V$g+E|e^1LsC-VI|^*fR({2U{x>_tOiyGYk*;3&B%6cEy`INRFW^8lXZBu zE?AHF^}%qk0T@AhHv}W`mw=7H#$XiKg!H9gG}shuM%?CLG~=`d?v`K-7|XM9U_96g zOaNPhiC_}g25bwq1KWei<k<mCq0du68UAum0j7aU(o6?4z)Y|saXW!ok+H7I#$IDB z8nQht(HLqzCPP2`cxr!Xya$fqY|5Dfs=>}+E~o*uU>=wc7JyyALa-}X1Qvtc!0sRc z_5gJt3F<)uNP$Ms1eVawG}sd~Gp;S5mH0N0A+8<lg}(!If-cZaTo35AHIVQ6@b`nI zU~jMwY4!#G0RII0f&IY&;6QK?I2as4U5DZx1`Y>DP~MTm9R;=kM}rvU9RvOarhsF? zao~8;p8!q-CxMf}Da3mkHvukhf;)};r-L)Vncys*pACvhdk#3)<|o`AJGk>~PsH8% zJi7o~2rdE_ljjnk^?51b%fRK}3UDR33S14Y0oRi5I&eMy8^Dd=Ca?_LO#f~Hw}RUu zS`WqU_Q(`yo7RDIcaY{zP{MEVYSo^~$-frRZ}3K-c6X8Q-{5X=54acH2kxgn(F)Ow z2k<{g8J-^$pBHxz5q=mv0v-jAfycoUU=5x>iThNfA~=UtPqBL%JY#EjvU`>?RrYh# zb*)My{WZ9SxX*(Zz>AR$jn8`t|I6SN@GALU1FtjoZ-6(!Tj1@;2$kaA$)=6+JW9Os zsQ=U8vGkk6)9APF+q?GMx8pth?}HD(hu|adG57?0O8(Elf2hOrW>NQF;y<VDUqmYH ztoV}fyR<|6oX*=yIHiGnu4v&`NC}f{Ui^4`ZR0WAeG?h(z6Iae*vxd_M>cXlL^MXl z?nmm)jg7`C>VBfG=YYoVXP*B8eg(e~7q<U*{D08CO46(WlAs*8Xxv3W6y$+?5Ca7u z4hlgLSdOI2gW~8Ew*puZtOSNc^WDl|6|gEOans#U+||J9(Mq=l7#7{pZ9Jf#Ya+|d zflu^(+R3dIo#ob!R=IVev)#JUIc~jZwOc>Bvl||r>oy?oh-i)5Fk0(If)cP1Wlvx< zH^v<WHUXvJ&+BG1?bg_D8ueqd8SdslW3@$ep4&1y-;Ificd6oRDsp2<KaO(7(@)LY zR;1PWGXZz&=uV``cN2L&32XzlC7rls&GUAaXO8iSJ`KM#P26Pi4&}G(B}?r<`L9H( zk%<<#Dde9DhQbw#?<gZ(c~Gy)n~cALG03O<r@+nN7H}&ZZ~^D+*dXoTHZEi>$KAB( zuC(LN`7}3k?Rh2RsrF2#{#B4^wNJ)H|E|nMmS;wEF>bz_8Ql$+Uv7`?Zt>%y31ZpX zAa}Ox!LtP8SZCw06ZOm*(6?o_`j87Oz8*QPo)YWHg9a<Qhno{kBJVr5bF|pa1vSwI zS4&#Wx#nB*Uc$J|V-8n@zRhRd%p?5*unSlSb_I*TVz3(+ie#bnvk~LGJK+R#uld}A zvg(-IB<rpoe^|ciDnTkJu-}zW(Kd~h_z^GfG(;QeG3G{;*9hi=Ca@dpXbEd79c^Ns z^;|r#@+@I228KBgX-9K39mI3CQeq2jXa#N2J+tXEq?=)NYrQlh+xl|aDSI!_0XkV* zU7#DZfF8=|1${vBN`JH^D33Fgc8V9+n|%93TZ49To?6;AXspWTY$g0ppgpu3*pGbs zg9CVWAZ<D*n#txZvGHj~23Ov3?qJd!Lf%6y9p^9p!>R8G!bjpi3Y5T!`MQR?qgj8) z5T~~Oi@e8z;|8Ve$kuf{=}w4tX2<PBtHbZ{lcHVBYdFrF-IODGuU~6F$oef>-wo~e zX->AhYOmVn%P3)NP9fi^;4~n5dOGeI;7o89^&bw7vi8N@*~Fa#Mw^7Ea-;5Ca2{zY zo#vnO-s<UPb>!N10eLPA%DafP7vsN#bSonvMl4-_(8s0j(&*mqvgkhU^60+qis(OB z_bO+$yAoUlt_IhDYr%D_=j$o&25=+oxCy9F%cB2uH%Ipi#&LglOY{K3;_kyX!8een z#3W7l2io&W<Y1!}l0$Eg9>Tf_)B5qegR<`gI(t;dUF7*UWoZB09X;6H6Ftb?OZYx; zKX?G#PMQb7L*U`)p}~9|<{pWvP5JIo@ECYJD0dPPZY-!*`jRJt_$Q-B1o8RqsUYrY z%6ukzWYEW>+_N@bM`zdBbIkMejPVPkdyzaZftLxt0$v5p(POf6^jeVab<)0pUweNk z?wg<l=}o#K$-E)2@K(@<w{hPA?}AF!-Fu{eAAA5rLo`kwQszhCWAF+16nqvP;r^37 z8+8UAOFxdKgkxC`S{LPnk?$BA>0wG(TbZB@;>|uM{tNIW_=>u|rmq{3<{R8^!FS+$ zD_=Z?c#h-T57Fb?kJ01ZPtYvs0)K|yt_hxj*Z2kZ*Qodo&vX1n8-EAl%l^O>Z|3sg zAAr_!6!$sWm6zw&Lq2W{6o5D=1VvyuuskRRD}WXA(9?k-U}dlh<*W*Zg4Mw4U=1(~ ztO?cvYlC&bx?sIL=hg?q!E+4M2Dl@@hCCYyO7c7(yis1U+Zc=jn-E`0-P4()(fG$R zW}8y?W_c&L&57Rvyh=Z}B<&b57K{Vq^G<YI<(=dv<n7?LCe1`J32Xzlr5y1Z+u`3n z?<hApZ-2J~m_oTzK^Z6q(w&{pSXbno>{dk6;y{FX+KBozjzx^Crwf|%eCKHcdN<0| zJXccBCD9X|bP>~un*p@{&LZzjp6v*B0<%CBm<{HDYOphy3u-_um<Q&A1z;Dj5bO#T zfyH1quscYAJ*cM+BtboB$dhj86qn*zBmHV)uSrj)wb?{?2}pxI^G>CI;>Axuo22J) z*G!%k(5ieO1KPn}#C3p9&;`0d59kGbpdTy+dxL$zzTh9=pI|?*KR5s!NLdGggYh2% z)@IJepe;L;xWmBVd8fG}@=kY0vQEUq9YueRCfzZF|Al)jI1U^SP5>u@lfcQ~6mTl( zPb2N=xMvVP6P!i(Y|1`>KAwYnF3-*b=hOcS2ww<xrtcS#_F`}exRmFYfy==a;7V{6 zxEfpouFX5cT}Qg>!3}x)x*J(nTQb*L2RHG28Mv8ex8U9iZo_{&?j7Jx{C9zWgS){! z;9hVa?YJNJ0q`JrC~rsiFn9z!N*^90?s4!$p7`{rdy=@Pz|+J%L*8d`p99b1e*tJd zUnKkzcsXyjdj<DZ@EUj>yaC<>Z-KW-|4!bSZhAnsq?cGx{5W`*=kI~{!3W?&@DcbJ zd;&fNwd@V)C8VGDjI#bi+<(F6;0y32_zHXtzF`c$1>)hq!~Guo0Dc5NfuBk93-}fM z27U*B0GAI<15uC%@<9v~<U_|mAt(aN5w|=j1}lISiCYN_0V{)5h+7p51*?J8iCY5< z18aiOjN4koubr=PmL4b6;hbf+EbEYFU9cX|{$3w<IM@J;02_jlpag7`4_{1KqrfJh zH2-YQ)w5aIXS4T2lhKQlM&)cu`pxpimz)DHS>!g)FLGP(Y)dc(j0NMsc(4_i0Ja7b zf%eLz{BzmoMQ$7NZA;vCK<C`{`R7rd=aVNBw*#00rh+mc-mV<C0!#yyV0ympQqJc| zzMDb2XVNycu_Af_yyOLxdI9Yh9h~fT%-_N7L>~2J7H$;~-#Ht1PX2}N0Qyr++jgcM zbBU_~;a;r8KM%|Y3xYa!p+2243vqV^i@;*A8_#zK39tvK1Fz7gByK%uVC^*Eroaf+ zRx8gM@i&1bAPx2e&7cLef;O-rX*0O(U@y=?TRMT(XBXja&;xowAL!2?=9YrJ^Ve|u z<QKbriTei-|L{-RxgXdc8~_dk2Z4jZA>dHb9R>~uM}Q;2QQ&Bv9RvOajwO5?I3An; zP6Q``lffzARB#$Noi?5U&ID(Hv%xv!KNt5ra6Y&ITu9tS;9_tIxD;FlE(ceDE5TI= zv{!>`NPjJ5Uk8er;OlvI1Gtg+o4_*sH-lSvek-^Q|LwSUfIE497w*5o-QXT@FVF7- zm9Es?pMMdn^CDKwMZwxZXGNL^!9zg%?qN%NG3ywe746Y|;Ao(ATpYQCcu8%S*xq@R z=Z{h6P)@rTHyMvphSum4xKDzo@-Jr<`gL#!=l|2hJ(GV0CHr*G5`GRmPr4VV_eIKj zDgR3H=qBV!Yvaqrzmk8I-Q&GV+Sdrb4&K18^4`S%7I+)~JK$aL9(bR)55R}uBOqDr zW8yynpMuZwFLnQ+E&t`&=im$a@+J5Rd=0(<--7Q*`#sNp06&7Cz|Y_p@GJNY{0{yA zD2QAnhUy69fqW2)4R-~&aZm_~z;a-DPz+W8D}t3`S0htvtQ_(oH`T<g45V*a24}ez zTAWp4qJ`VJRY^M(tOiyGYk*;3O|VuBx=B0M0XjR@RhuYpJ<3`i3<nzk-2slk-4Kif zC14}4j2oxXb_NZ18^_Lcqhi;&O=7ygD0Zc>v)yRQ-xO>HHV0e8M0el^sb>rr3&w%* zU@I^IYz<;|7gFRV#?Eq+Vi&t@Vpq9sV;7<uIp1v;^L%I%b!<=C$zTUC1x$@y@5*q? zL51Sz%&UyYH0rGcCEScbscE0?TXK52R#w?`+BbtdGr^9r8@YGAiC*7iYj-D}&5A8^ zRXm%Ge-5YyJA=8P2GoLiV5rVk>RLeBUBJrB>BeAT>;|_h<t~cd>=wsval6HCb-Oc$ z3DW3n+QY^MJqqC@s0R%^PXX;U-GMezeiK*%(qK=}3|fHh0XHR2D`*25&<+k~ooHV7 z0v(_ebdkOr^u)?tZ>-q$5!Vl-2V07(eYrR8K44$!{|ESItjO&byUp!Sz5|Fq5F7;j zyxoo+z%Y1e-G{H?4vwwi4grUf_AqcbI076=`lG<n;27{Pa4a~EzKj1k9)CS`HAin^ zegEC~-|;`5-N|bFyL{+7sHc+K&lBm(N%Z^Vn0N-=r8{>D^_~h&qYbBnGr*bPEFdkv z><cuOX9sOPC#L@1h1J4e)u%buT0w^a&I9Lz3u3C9yIr8NRL4cM<zn1*srwReDgMjA z<v_CC6}VRtUqTzTzjfboRqWsJHh)#G>Qo)!+V*u_O&QmKYlF5=w|TtVZSc2c+~ckz z?e)}q1Go{~M1Jwh%W$<mZpOU@+zM_3x(gTGzdd%ZyMyqZ;4biQ@HD&bZu)r-xEI_9 z?kD~M%6%|)A1mg6^`+Q7L|Tp2!$5UUqP&Zlzei&CyGJSGvDgFdaoYO?c#<?~=To>( zgJ)t7{>>bPV<nxL=z(aZ=W{hT&*Fd1#>>;H=Lw$;&R}e(Q|AldMeq`MIXm8*Klop@ z@qGy1>+kv%t|iVW${cEI@?mz*-=!~guhW({z?-C(9`SI-`z^w6gLlBY;63m@_yBxJ zJ3e9$ehfY#{3-Y>_6Ry0>0652f0%>+g3rMh;7gv1xBQC!d=0*dJxbcYYR@C?+W~DD zO<CW?9)nN*tF&5++S~c=``F{?3;!xjI1g*PA7b9FMRR;O^x#L@^;33ib^kZX{Y-hk zQ2!;M1Z#%<V^6@X{I7DKbidM{Kd)o0O}~y+N51<F{0{yAu3!xp0nq|v7myEP;79Uk zT|Z6x8aZ1E3e*OzePkN^g$4g>olkT{1y4~YXL<o=Iw%G!fEB??U<g<ltO8aAL&0ib zb+85)2G#^?fwe&eXZ1P-PopPvZe7A*`t|Uy4~ByczzDD*7zs+iMqpzw3Ty&O!Dz54 z*bHnAwg6j#F<>kh2gZY~zyz>0m<T3;Z9sxHY>T@c*d9y<JAf%*DkuZxpaM(-m0&uU z0cL_7!A@Wnr~<RWoPuZI6`iZbuXb<D7;DZ-uo77vIN;@)r`*nr!(31UYQa1(A1na7 zfQ4XJum~&$yMf(70_;IOb(Eh3^##vSr(d&@5yqnrYGCf)i9GMhg7{Pcc21;i0!u&| z><OAd3upyxAVYiG!Cs{A0G*%<bQ9MDdO;uPCvGX&8~;9FU+@p`Ps-S@pxEt?{{V0x zI0zgJ4grUP!@%LR`3T%2!BOC7a17=B3mglM1IH700yq(z1WpF0fK$O~;B;^XI1`)& zN*LX<ss9{sF8x1`IPqrZ7ff&$6ubb96&)#d7t+3qz{LgExl2fM3OvN6xToS?hI=`< z0$d5M0#^g=nQL&b1=kh4$aud<Z7(vHFS_dsR&Y1a-l16fpba7ZC5yk2bT^THZ+IoI zw|yCT_GO;GY-?Z{?YtS>LYiB_Z6K^$Yo?O3^mgLz0C$4BsN>%SFT1-7mLWSYqnu>} z>Uq)KLw)zs&->{6{m_E(oKg?qK1kk&z{B7X>f4D0`Y8U#z~h9U08fIaz|+J%1D*xX zfuYXxuFo@GFMt;dUg3<Ohdg^3yaHYYuYuP=bAFL~1Df(CZG8*8UGS>)^__y(ptlp< zy9E>7d-&f6AAk?Zqniee&qoEX^VgplACp&S#3u!B@RYNF@Mi^YLb<trr+@zipA)Bi zE5N@>7xV?;60E1bEO;A!3t5LhH^pQR=Vi1E@>dB~RjUC9q#v0CWaG3B_?rCRfNyE@ zcjWyF|M%br%KJ9@y8Dr~{6rgmrrp1QU%_wm=XdZ&!Mm(1*;#~kXtF<(jhVMW^Y&-h zm&UO#1+qhX!o3F_eve%5(Uu~v<cplQIraV0oq^gW`^LODBLjT<u%*Q>d$I!DcpTmd z6ycZNW4ZV{Zuz+QM6GZ2A6*sCSBSrhjn;c^#rS(}B`_pj>{gDy?^cO_;8x}NP_P<h zT*=t3PFvQ%KMbr1*5cXP@ee8eL)!Zx?JaieP{z9Pj~MG>x1N<%?ADKm^iE^@G3n!O zIC<NdgAI5#BK`^K<8DLZMuHNs5#?_TM#Vp+B=lIsm4eY=Q?MD>9Bcu$1Y^Kh((68O zT>LXimMkwBSXOY*Kb~*JbMXecSDk==YfyrPTmf((wEfUNn@GDRVL4X_9QeP_ye-QC zSk`R@9QbpZ7bxd6_Uk0--UckD9p_N@w$!WJ{5ELvcEoQFCW9To6fhO&Zc#RMW%$d1 zXm|zgG*C&~rh^$^CfE_|1ZIIMFdOU*jhln}4Ci|_V*1WtE_t8B3a}<F+oP}C5Uc@N z(SOnIzrXXWr3|&r-*Y|y&GUTfN9<XR+q}5=pZi@N{hJ2n#~&c}Yv%B4>iT+6UF$P8 zZ?jLOchUSWpzK{Nf3aH_{|1`!4SBvHk92;%o?RKc)hTxoee-8%kz35V+%5hs<tUw( zU3Vv4!shooQv1A0FCM27i$}O4(oS}JP^V<w688gbK)*-1Ng&?4o-u0xsrZkS?RA+t zPh{iVNPJWLC+nxb$5Z^zR@V~pr?c(*g>rqKJ&9`uXL6=U&sT|6W!Prf34g(OsEtdb zzfrF8XpL}p5|@Rg!b-#0OrVu=REFf0w)h{U=l+lQcCZ&JYjju|wn(@pcMaOpf!hhX zfFBE$3!Ncpcih{cKclmW=RJTkE+X2lK1(mwOPp^bXFlWG50-+x!9HN$cph~kYsd2= zSmMC%BXbkK0->SQv5J}mc&jF|A7yErRo?#i)h4y`03h2W=>mP*VzkXg4kUgh;t!&{ zgX0Aet+8c{kM2G<!xE|(>*Yg8<IBV@hjfdBwjWCTVc>9Z1UQm;KPp}r(c2KJ|7g<s z^za;U(LZ0#zi^KQ$HjFM_kYu>uHz}IHE%h_N$m;iSDSWpComtHw-ZTo5?GBnKAG}P zi7y`s_m1ZSM3;x7V<{#+r1gH>8*N@zh^!FQuR1kOt8>1cN|~nt*@5W}R`;?T4DNK| z&LH2J@fEXu)H?n1m}m{ihWRYYJ3GEoL~oKXmS*d44rQDRPNYwM&f%ZpLl|e@N3B1_ zYdx#q=QD<)Qx}luLU0kdnC4s(U-@s^Al-g+K>eaitI!L-?k}ah%fRK7a|O7PvRdM+ z@*Ld(eY+Y@JMF#(gmU{{@u3mzW3_8wf3GF&b@A0$cN*K(Nh4lAoGWw$lz&59>vauQ zs<<eXp*^qh7)DS1{y#Jpqc5^zj!{-@&>Gg9+(<os%_`rTr1kgKH&OmFa5K1tK1ok> zKK@(5ZJ@-xPn@^Qyax;A+o5T9#ATB?+TDr&E<3xm&bY%P{oUXma4)zI+)tT0+a93) z2f;(&;rQD0Q)O}%lIBtH7;StUJP}_fvf^LLo04_?`q%s(P1-`{s0e6Gr8la?Qn~;j ztuY4bXOVl7`d_8~65b}sw>pd6Q^Xxg-A~8Yi>!%dH5yscuNTo<A<x)2#oe>C={fK` zc!BhGe~AAj@G=l>mTl)N_+`uVD(-9Gb?^pw6I?^P4h8SzuOC@8sQWE=kGHM7eA7$H z2In36qIB=#z6ah1AAk=@_YwFQd;&fNpMn3xhet+W3GRS+n=#N{okJRj|B~->@CA?! z!<VH0iIwB?uNV1>yx3brzNQ`DFn`~I@4)x8H?-M&h<^P*_(u?BUVp;<8T<l%1;2sc z!S|8j?vMEKj56G0p|3wu$k>o4iknx+TOx(<f1m`b^*C@qZGMn;X&o07s_oCXc;N{4 z_z0el;Q0oT!b0(cvh`3prQwaK!s9rzyj<icdpXcV{PI@*hLQiRvy&Z(w~z5UA?P@5 zJ_CM4dZ!g=?}~*ZBQY%Mk>qKE>Q|r89Tb*8TS|y8Azo)vxIfV;sQq9i@~;9`wYDhl zMsU{~k!K_F40l6Gvl`D=r_MEku@b#3!D=54lKs7w8%AD@$(r<Qt->(RDC(9Ui}@hm zI=JgvdBfd$xa(8yaG>?L0q%&xP1py@qcO{O8v^Y?@d&FGma-cBGu2gO<&6G|xJ{uE zKHW&l+@G{sUoSFNCDiZFX!v2vzu8~p-#p0g$Lc)pL;br?@S3chbD94VI~UcaEwcIJ zq}$la+>*Ia{l4x|^g+)G^TuTRwh3{iJRc1<wLD{41IjbpeNFkRu*Wy!+2&viuq7A+ z#)5HRJlHB2Q}~IXPvbbhbK|pjY<$oTKQ}r@CRklt1^rX|k=?;W;wOP^D0f@19oQaB zE}X#HM&<#zcL3q5c{U}efA84V{~u{4{(q#I#41qx{dyCf(z_#?JMlUtyw#y`eGZy6 zl=zp}6S6CtTDUF!**1cfiS?RW-(|GXzwg7{Bs8U*vE7U}LRJT8qb#j2n=_NXOtXC} zerLG5g#OB2RPse7<xB@Nz)Wxw^~=WpFxJA3v~?#ii*^5NbbITgY~uYo@%yccvS))i zpt^7}{MuydpG^IeBRi9KW!_Mk%QMeoMO_X4S}+gHXPxMdX94x@f`1{{l`<9;?hsjA zI3+Tin=A(+U^gp^ck%|5^|fRO`ko-}aK=XEeuREue`x3)g_0|ZTpeZm^1Ur)k~H<8 zf%p_?#NPy#6b^G~uqS9PoEkZew`f{uM*(lvpwY87w9=+F+Ly65PC_2?G_RfU*{g8- zNC$2weGnhfh1(5!i0dsZi}aDFA1o~_a(jb)c(!k0Ipya&y&EN&`y-f)f6&i=(w-9D z-WfulLS4>V$*`{PzHX0lB^fc76qSk(C-@|D7eA8dK^-652JXyG(y9dk*#!@>Q` zspN(u@K1+c97&#|KnZUMNya{!_+!X_q?Iw9{l;BCamRv{?Cl}xCeVXWk8BcTk04tO zwf&sDnXC-#o=AH<I059-#uIT*0w)*lNFDI8lzl2V4V+%6w~#`4ZWez3uHPAjRgAaR z&TQ5`@5a!^v%uNl9P()_&ZW%r!1>?;aA#x=`HS3zjO|5*)e*@c85lFkAnIp3?!~ye zJJ!2_myqXDa2dF~aA#ZFb&SvcJS)v-KhX9ocqZHQD;djGc*9BUzlyrA2G@WR-gxru zthMorkv8NduPvNM+mRtmMw1*Cch^zg_233@V_|LNCa?_LT(})A_jF8e-`~O-yp{a7 zk?wYI2e=d5RXCq|bZ-MsM_BJtmAK2Wo6$P-v}6YSmhN@$=DFU@xCi%MOY85tOUzbi ze&oKw1+>qvRey%Sr$NW>r>_ry2N^5rwmolJOTQLG9wPo>@CbMm=sniQ3U`U9-(}Rb z47|cDJZ@vNFdP2_^*;%o0?VR$6D;37P5x)Vv&20Io(C_07Yi3f)^fw$ON9#~WqAuD zFH`<2_-mM(S9$&#cpba}!aS;1Hq>tt_ZCq9-==KU@eU}VKIu>1rCp+l@8P}=8uAuL z+HLIo87dm3^Wp>WA@~S<3_by$g3rKzz<<H#;0y32_zHXtz5&voNUt&ud`tK{kYo+W z=J9*{KY$;>PvB?p3+??C{04p}{0Be@=OQ2q^1wFq-RpwlrtiroE(Quf97z8t9nmCE zNO+)*sEF`#V0lmsRsbu4mB0`n8(EFl%J^3StAe452de||&}-lhD}w(4YvErTtOM2s z>w)#baIgUw0d}X%#b7tEA>omr1Z)I02BW|xpcIS->yU0!+|9t|U<<G%7z4(l?i^Pn zd)Xb__@d!%D=?u*e4K1)Pjp)s9mf0~#!5X51;*mY#G*x!L-TfpkKQdZsc84eHelPL zVz(XGzDTyW!`)=c*a1u-ZYn6F9=&@jn=k24#D8f#%js_gm<A@XHuS!2Wf8hGFayZW zcP8!I5&uqL7N{yJa<hwMYq_@@!5fZqC|h=))wnwY*%r>lT_0CtUxPo7F|Ng(2j+tX zU>C3u$X;|;+(lq9IF+!sCxv&UUE&{i$4yZ89-s~+K|N>yTKko}C0<BdQsi$0O+fDu zF0uURo=CT6(H;Y6m?$|m7DaWOPj!&EI_TUUkrvXolC}*D<&Di4;P!}T#V*6Mb}*E; xIEw%`N*2E#&-b!;pRa?u^<I5v(QW9mWS8dmUKeF{Gj=^i(`Hwckzmk&{|~Ys6#@VN literal 0 HcmV?d00001 diff --git a/examples/DDCAD/models/COB/dwarf.cob b/examples/DDCAD/models/COB/dwarf.cob new file mode 100644 index 0000000000000000000000000000000000000000..1e6e1ddd700a52770fc311cbd0a71cbf920cfba1 GIT binary patch literal 962915 zcmeFZ2UHc!wlxX}f=W(;U?3<eARtMB-4!q(3QAHjpb``e2$&^^iXf5{5J42gKr|;n z+#SpT#ekR-7*Nb8iiy|Ve*K-k=N|rh&Ku+Z-*|64$Iw+(UAwA!b?-GNYc6!1H9u_5 ztf;Vl6RoX>Sli%nZvDi6y5q3L9x^hrGQyuL@-i|5*$($N;IF^3GJ5=Fw@}{vmw&ji zJoYoox4qrAFZ#8$c2dOzpVIO{_1bgicDJ{;Uxz)4ii@p%25NWr<GPJAYN(PG7j8O8 z!nSVPoe&*xtmb;=Ne@p?Vx?8jqQafIC*&(rs){rm?HUtDJ-D{spjV`;NqFcPm9+n4 zFmjQP->s->i@AOJ_RTmS^d{<|oNM^+-@hI5ugrHazqj{xi=DzY^?O&^V-hzfB_-|5 zIBemgyGT>XQGJ)Q#>mFZ;*tX!nyo^0m)fM9HIAL76;w5RyXWl1uj19-eEl)zQhw%f zgT?*rlxlKs-@g6$@#8Xn#I9FO?%SnfAHI6|a?Y_Smh%Dv0^ZHs=6Ek{kE@iTd@9?& ze;+#fXhufHH=XtCH5Puj5PjAKfYaMnbop%c`S7E$j~+eBtT)n4%zqeud#ab|>h0qj z9i>-BwzjwDmG|<peqgAY^k~CUW0f1&Jy|Z+_Up#CZ)OvPEyTLqc|F%g#4J1X4cEvj zjbzWGm+>a>+U@~m-JKH+>K_FxSv=(O49g(@rF!AkAMQQ;X%;v{65h2WSG&Gnq16IM zJ^!v|KHBR?`S=-YE^zeoTTvrht#+?>DiNY~Z0V)LCrdUiTC#SNf5%nlX9F!-ub(V+ zmOE7%_d&^^{^x~FHQij6_~CK6+dNB3N1k(0?KZeL%5CUJy<6o<aWt@5Yx^?xk)HkO zuak>2){a<UH}~f00GFRS1^ujkwxk-ESgGolN32+0G|t-DHEp!y=!aOlrW~Wd2}_6Q z_d2HYY|`Lq>*h&qy%(y<U->x1(B)f6NeOLSB-{RKmc|Vkqs+72=V}d`=D_S*^RV`1 zEB!3d{Ojp#$6z<>kIO?xU6FhEBudwDOUu@lCr(>U)=Pr2Qrc9kFUb>@+N&?8B~~o5 z)J^ePT@t(GLa_Vk+}J@AjNYGm;$>x!`r7}kGvjeVZ~ywppTQBU$Sy?2b?1m{^B-&O z8)E%v;GGhcT_<#IFQ54!_pHhfcZC7&=`+$|*3WCVdEnZ2<>{_jF*y#;^psXOo^7le z^!jB<em`F$B_o+POP#5}okk~O2ED)GW#_0pc(;8|T|2!Isw%#wXG;|i9CThjr)_(^ zyo0yws*|ry*XuN{voX(jRqQzaRCZPMWJia2k?l7OALQQ2P%=Kz?6#}HS!Y+&hH>{i zk~SXmHg!Bv=0C-tSkccfq<O$Ox#*IzLv>A=>n|>LwMxz(_jOH6utj-pOy#H7ZtAyG zE>FB}TL0szSH5cW`f;P)&i-JS?`V_bmK7-(tx@(W_}7WrTOPZMk4)KDyl;k5+L19f zThqU;xng-OVr_!KA{5~0U+6Qp3U%MFHt5j7fCE8=XOrDes}!5225y*N(tT^2zuS*! z%RUdr)_C>v3v!|9njM*XjeakF#nm15dcLfxY1BdTMOu67>?4CN--tHJZ5ejev`Q*> zKsBd&e!}7>l5?ALZ8{|MomS=c{hkBQRq4l6j9XiV$+22nZNk&f@7k6Bz}8^h5rf)+ z4}AJQyX`f0d)GOR^)=U}56+wCUu~){MT2j=`g}(FEVxy0MtyYD!X;dQGqf*L<|5ah z7$z@+7Y470wjxe)V~<`gXKg&-+W+|TuloNO6F&RjKgX>Q54bh`!owDGd-rDd=JuCk zugJ-aA2(}-_(Wa*-qJO6R=A9evP@{Vef)e^_5&(1C_HSzti@pq!+k;)TX&W5UbuMH z;t&~`o_~MrpN<g!kN!W7%T8v;Wgz>P{qxV`5c0$SZ9Kk{@g1FvL-eoLnc2yBL?`3% zos6&VWPD>M<GG!T@91RwPAB8?_+Q_bQYYieos64yGH%hyxLYUVzMYIu`<LUwYgPJV zFaKJ#%l)_4N?yie;nEP<|MF7(xn=HO;awm8AeQ*2mxrJ9*Y)^6-y<2w4~qWzuh-%K za6SHixW40mxGube|2V*Z-CuYaJG(Btl$~7{Ue3<03omJB*M*n0v+Kf3+u3#D<?Zac z@Dg`+U3i&0yDq%con04R?#`|YFL`Izg_pgv>%vRl*>&ON@9etpCHU9Zh3FgOQNrWF zKcer1h4bBHWRzrF9R5UW{jsv_65V7Lhb&q=)FWh3sPHxT-vt*}6l7#77icn<W&%1@ zaUy=PLyMU?<^pZ;)eZYMrqcHYG}D_7jlpW~=g^z0f@z;sewdqIJ?j(r)yEf`9NSFi zOnw7~hI``#Ck<xzi+wQi4#cPSY^G;E+y&zX5d8e@_HJ|!3x9rnMx&lq+cFl<2ykXv zTT1DQNDth!Xg1S-lLNiq_|N*S+Impo&O}_05yph{SAx~XKK%M;UY&x5<1y|L;l_k) zDuoNXjln;TJ2UD%x6>zYx#O|Z!|0f;3+Nd;Cu1X<RQlA9R(h4kIP9x8n{hs1N$=|L z!h2Tc(3ahG;MxIx_^Cx0(~*7y%$Yj@hriFJ6CYPWuRMV5F1s<3j4Ze<XEg4gxfC8{ z{jiPogL{2<gjxR#WBsFD)D6vI{g%V}E%xLH*qimwRMtN_?08b(Cm`R~7e6#efQ$U! z07uq8Zx<+`YSuqXS^p#|C%|Q_e^#^pk!~7_Zm@o+V*N0NUB8g^j{)l+O?I6@tlxB5 zzu}VU=;}rXx`y=+w{NhH9#m%iBXfEts$%_fn)S~ccKrvefBLfi3Eu_K8rDBcSpQ6Y zJruR-Zl^D@{y9E)6l~91K!>va*=Mx`=Cb}tVf}M->~!>Qza@Q;_0QC&32+bVpY^PN z(9D@AE8_-;Wc_11aV^}z`p1{`PtI?ECb9n6$@*vUj3ioabUsl~Fb^-zx<_fht)jlW z&&LI9JEXXfvh<&YBY&->YprF#jlDDR7xOHdocSEkz2@NoyVK}4`XFf88;aNcD55tX z2!U(+&c*>{d+7bu5H?rO#jX{)w0%Vf9RF<=9%!LQ<2iDuZE-N(dUGm0si+ms-XDlB zs~x4zYsn$|XMs3Byq(&<UlXl03&Gtzy=jl}UD2CkA^6R%IaKbtu4u&XKs@QPguMS; z9XVbK;@i5D^w2Jo5NuGWLZxp~NB-~s%qbY#8yyP?z`d6ZrHmHpqc0W#xT|3r{WJOw z%u)!!ciyB@y^OSwY3p=;9rNx6=<C&~c<~5LYT7D26iQCTLly;6CAI3P)qg53lsift zJfeXDbEo66`_ED1w<w|>Spj%(F-bj?RYVI~r{Id`1(aEvDxx<|#RjTJsJE$#DCJ!M zF1tU4uC|g#-=~LSoS8+ZW;ej+I$?O;$`90<98DB&8OonQvRoheYyN3pZd65Xk|}up z%Q9+pH$|j%a0*^zK7#6_t%x$br{M1S=c#UAe!*Ai0eoA!>NgyAeG0C;{)S4VJK*%$ zQ?dT3_f(jE2h9F59cNC_rf(~Kht4MgaF$<hI?bXLHq7?N57Z~oZ=&A9#y&G}v;8Dm z>tYM6Oq_%@!jtLsV@|^@bu;k0H*vH^>=Ah3=M;Qx#Wwo(+TC#R`!IZ|XC8f4x&s~` z7=n+7WYICTMeseEiKVs$RO*4QXzm(694uQ$d4B%}Ti5!sdr2v<;3rhq^1*Te>!~9# zU6Bv_{&UZCkeV7g(dNguZz-vw5BYz_7u?fEO$Yq3@_`6y!$ei&`P3h;>sm^k)K)=f z>L&8@FD}tWk9tkQx%aPAU|&~cZ#)G@S-qo9ty4tlzJ7R7NFUm&mn?d>YcdXX`ACgS zc@4GhdgGgkfS!0(24y8q#Cu=r(@`@N(6D-M?A#-n)?fPu8b*8JS06L!k#6_lCns;5 z{lt&9ny!S-Jo3OF=rMGLPa8CI@W3gNc67{k71VC(fjveYqckt7pv6{R{Miy3bx`7I zFRa>>MANbA=-lBk*oVDegJFiq$9xPPK42H+=g|i_2fOj(yZ7CKqv8P$>=8nJ+%ALc z&kx5VUG-@F^JWNb7=b&c?53^WtbswRM&eIB577M%8lp*)AkJ7flb%#E7!^l4;p}dz zbn?rtNPmwVmK#<>_utqPjmdGq(~B8;iT)`VdBO?bI9E-psB}d&p7waVPcFT;qCc8< z&JNo-ucgi9bkV^LL-EAXJL%7phr+fUzI^*fx-Yz}5rCVLF3?lmd!dZowzyLFJdMvQ zA=&9e@!DN`=%*nA(Sdp!+%sh(J@cd<YR$F6vIoD?=ga#d<L}n^c++RP|EwQyTig(A z@#_fP+RYgmEw#j!YAJMKu_3zEZxH@CrGq}4VuZHdFvV+2f6)!km66VUV;nNJfnH-U z6jeAGW3XIGTkPwL?&tNzpS-`&m*dUR#|JvR&xJU~y;njUi&&aUtDHIj>Kp>`_}OW+ z;)ymeCnkWOU;56BUa)a8b~o=ulOGx=z)ZrrU)Inb=8a_60$;pf#CH1lnk4Y#jt4*g zM#*e?Lxm?kdccTYFxZl=oHG_r$zM-LUfe<biWrT1FD$3;j7tKi-y*&}|MFy*IoO5& zZ2l@aI&Am?yruCSmA6`sp3k-)PTfJD9(PfyvT{E54c|wHwVngJU(Umh-xylW!U?Ly z%)?JkR?==QrSRg`xwzy0KKe=a6Zoz)3_EOFOM5i+K&lTz@r1KoXxWDbXk5vk7*e{{ z1Q{m(X<z#Gm73Zs5?gM3N9kyPqaxV0jr<PU-6XMwo*IFFKi*3hwp|CmE-u6ygBcoD z02mgq5U0yl()}mzh1${K*wtYly<PGQdaqxA_a9wLKk`>WF4TP7k|s~D9nu?VY?#mA z<LHN`h@AJQZF;$w>hM~Qm0x$I<26et2k+&0V_`CVzN3Xu-@Odqx|>D!TKXLf(pZL_ zq`PT{yW?QwmZdoHSw0;*U_T^JEWsshSu`POgnN4~!ESo9=|yqf(AfCJ_(QT5y|c0> zavHpt-}lSSK1i`+5#LTfc$zq%6^DbC6;aC`o+9qBZN;}v^k|h^0Bw%NRFFG;+Q1sd z4UWZ6TZ8B~zr&#XjTj75C(>mWWiZ+%22V(Hr$?&R!MYRCxcZ_VJ$v~lST`;jE0rFl z24r?Y6I7%5y?#rT(Cc?A`Sz7wc~H|O9$)NN0fhH(ox(CG;A}FAfC8R2vU7y@bLIKf zP{7l%<CCC(v*opUP{7lMJ~>dp+0ng5KmkK9M#(?{Tbr7G0ReM=Z%Y6Iww7c&K><(e zeq00s&U%qbK)_a+7fytLp?ghA2mv?!z-lPqX3x(~K)}t{(H?|=l}FRM00ApAoVNf0 zA8%wN00B22Jr4i^J_guk00B26^49_ZE3=O!K>;5}8M{IOH)%x%2v|8e^%5cA;ObY4 zfq;)Q2Ic|*2R+%gfREwhX&~U>>i{Vb@G%s(0|65)wkbdX6E{o(P{71ZF#rmfSZf>& z1x(DfodX3-?6Z9%6fm*3a~c#dQ9U^c3Yb`$UI+vnv|BSB2>3`f*Z=_shZm#)0UskT zY5)Q6BFrLzfOlU)cLD+9j-MoffN{!uyFvlu@-H$#z&MW~a!|mv*ehmGz&pd~E1`gK zE;>n2z&K<^Kmp@6DGr4K#;v}&4hXnrQDq1PyrY$uLjl(=%$@@TEbBd>D-iJOL$VAM z@XI?c7Yg`=oOeM1zg%nGpnzYicDw-seodZw01EhJ`FbA|Fl+zCV^F}dFH2LQfM2H4 za46tc#oQby;1|~x@Jmv05(@aG;Zy?!{AxIt2L=3Ev_Am~_~m=E1q%43uJ{TH_?6JF z6bks&BP0$A_%$xB6$<!u=kiA=;Md9UOHjbC&H0C*fM27RzJdaNl_jr+0ydq?i-!Vc zwMNQ80h^dPo1lP4=d8n_fKwiA-JpO+Gh$aj0gvWo7C-@yxVC^tHy2Vsz#ywt*-*fs zy_<@lfI%q+$Dx2h_D?FHfI;3JMNq&XwN(qDfI&BV-T?vzMfIkDfHkYlvY~)A6S@>Z z0c#qQjzIxy8ci#pfHhhEMNq&R#e)l>fHlTtcY%O4L9-qK0aI?Si-rQG4EmJ>1x!hM zk_!b)xvRJl3YgNSza9#h@-)B`3YcP7^c4u0GNW5C5U^vntqBycBeHxb6tE-RX&e-= z<G~FA3fS@S=1?eL$82?3C}4++{W>6E$JGlH2+!(p=*z6eEq#nYuZDCuc>8L+bj&T6 zdBG|0G!usx;S198j09NM5Qk@zLFBnUTj1sVM4VC5pAtSBaPJ@~%<1KxObP1@0Ut<V z9d3T=_+r?xd^P6gn-9-~m3!kbcLrgc+e;XCZh1ww%$Wp%b1Ys8p3>(M_P~k>vAAZS z7439zD`eKL#P^=t(u?yT40BtF@8chIRq9|^5WWmoJ6O<tZ^=WoRZ)22S6ODTPb3Vj zjKm%9tm)@N++j<}e13k=%ERz_Z6rV66cj>*rumrLSEl&_jLKWaug}Cw;kM$%_(r8B zv%dF!Se?8Ir@Yf=0+<Z=$vz&dP8-NbFC{~hr*ZgPrWNCBy%Q3PV{kWiJT8@nTA9&! z6Fa}}+H<hpFcy1~mW(pG3h!vG!*6fcFvaB*^od-DO@9t&epHgM)oUFl)d@yAwHE5% zO5n#$KHY<b%M$qcSD)R7zjG3>iHQX>+D8^qvr_TwwjNOMiF<J!Jk9#5l=YRa_Z=ws zF!_i&6nu58>=hJzHA%i3G+=$D%=#+E?-LY!wf&?De8T#wne`PnU+@(-U+@*TzThiv zeZf~QE!~jdt8YdcNbuFtjJ`<lmCd;UNbnUmF8GR@FZinFqbU-6HL2?$B={=B$_D-V z%U9+j>=E^suefouzkJ2b7krgE(F6&;Y8k1`bh%wk_iY%03t}hGi*EN}Hf7l2d$kK_ z|3*`$PmDIUd#1!3R<EZQ-|dNSnT??J->c9!pG?B?dK0C7?<tVD#TU=|T1TxlnNNQz zpNykU^=AzF$x+d1=GbcFAclG;50rxqaPrbb`euGP7~ts3ubHV*03Wmr;M*(fOQC1q zez@=LQ8aS{z}2V6;~e%pKU2FP@9QRfJ14gXvKVEA<9u&XCLQeic6J<p24S2#k1&74 zI9bLqgrqmFgm_DCJYBY2hM{+i#4cIy=|#PB;cSm#_)|Y^X2IPCFgRd1K04KbwpsZc z4m;z>uW9vH`}*pO^z#>U=!rEx*z}zmt@EIo{w(W_x$&5&$?%fDJC2*sMw^_Fg;rjk z*pQvm5V#j^s&(bp5q!d(?d60@x+UI+9~b=0jSGI}+Qy>$I^!$D+%6c&&;Rh`FkJe< z6?=^_V^Ysx`ul4y>~qYPaga|1A#G!EZ^JoISm#~s7$~gI<Y^+|`Suv5h=k{;opTBZ zXB)Ik0)=PlrfZ6XXD6R$hJ<Hl-DfQno*lQ2@a(v@@a*OdfKYgLPuVjF&w^_U&q%TL zJP@8;eEdo%JQq9I0fpyvcCjWBp36(8H&A$9G8I-(ct-Oj-JtL+mJd1yg=b{)?GqH9 z1vf4{BW}L%TrQdQM4L+yy{^d%KYeG4Oj<KR?8b4}Z_Z9;kKBHcXWfD>%{<IJe%K98 z7}$=o8jdi#`&+`y{MX2^xRk;1rf|mICgd4j&Xmm3l|0VBhl=JGGuKn&=}F^c@bdec znaq1L>EElrA!pfr%%!h3wC|J#R26c9`K=FWL*x6X%IGjN)7p}5(CdnqYi?%_B^ZO6 zx*Mq3uZTG`Y%F-R<~+*&zJsBP6RD85XHoO^0_Ne*aw>g!Eh;SC%oOd2rAp*~pu)^! z%--FjDa95A{K>O~Axy`Ev#%BK^@9b>zJsQ4Rm~kVq`ZiE`_UEVe7uR0+_p0Ai%tWt zi9e9{jB+N%4MV*>KhU^@9gLgoN+@~v6)AMt%>1x5fG5=3QTvK5jBD~{NhSV`R$ZkS z-}OG!`$tbvM^+iLw`vS5wts`{uWw=Yja7mdW17+8$w`c<ODbHlv=KRFWH63T3gO3V z&(M(>TbN%1;-S{h$7pD22D5YK9GGhV5T)GR&g2~)4|C?eL~n|6m_xl&VD+L;NFyqZ zi91ffnlG(r!uv|b+VdS@;B)~Q%&TM)l3!AagU+K}b_bXz^(wU1<vOHPbdY(Na8Yu4 z{C(tmvy!>k<N;59x`!^EJj|r7?+r_4G$G>hZQ5p-40EY`rDXB^eRQd>CryUkloa1| zW#WeW@NM(NGWvs#Gu`D{DCqkYFkE|^0{}OUZ>3E#Z@_Np_lcl~&*=!F3z~t(N!pqQ zFiP{~QSE6=+@5-pb}f^h^r4)Ir~M_&DXY8i-m7>?M1?EUQbLibS25B5<ZU`+)en03 z?8~5MMj5>^bQb+o^$h6Kr9X44sSC5@$N?hbhbc30o-Fez_C47612Ej2{`dfx_xL&e z)Ts-aR~-b}pABG^g|a!!8*9Om>aDc?#v5>az)oOeCSj^9@50lXbHMw+lXSIx*h#IA zYrv2Fu8djF8q)CQS};ppmf4a23GOal02?YCm=fKq(0&$%g9`W46F*S!!jZ9X1}dT3 z3yop$J~q#Nf?%Rgj)AE~w(#?kZcOexS@77Ggkhg;n8uffsBU{sz!7S4Ouk$O^d6lC zGeWyC8Ob(qXK@ikLkZ^YyP0%P%^K+AT0^(`CQ&MZC*Ts}0=jVTLRzcr1k8MNm`=QR zmG--G0#1Mal75_5OPAfRhMrdkG8P)==_F7CSN)hzKT9}C_m^%(@>zPc`NKLY(KQ#{ zJwAvoB7aerzHUGT*JA1Y1=V!5>IM{Y=@iZM{y^W#&PTJ&PSa1E-q43VlF?5GO(u8z zO}cJq5!$J$%j{+6-*!nxchW{M+?rugJ5i7YWVki2HK!pnXH91BMJqV<dm+kBR%eoa zy#{yK`BgVg(O<H2VBoZ^=ur4g+O%>C<kp|NJBTh}=O0SQL#mI%>80#^?mRlpLueU` zX8Kb50n}^YNa|!=2ledcK4g$nMlZM5Vp>MjpsqhunS&u;Xs0{p(DE;UKf~KYm-+EN z8^U0O!fAf~ZTc)UiK;}(wPtj}>QK0N#y*sgcaF->?82;jOCk<Orlmipids*g_Vc=o z(uJ?|ZMP>#YpEg=XP*h{9bcjxXw6t=|0LUBD|+335k2Dg1Lz%phyQF}n?xAkaSAEx zO=XT`EF@eTSZ(5nKQlwlpZ;*b9lx`TWMph&>1}xs@2-qyrc}pM#}I*4PU|pt1~$_2 z*LAS>(RjMC#gduXpn*Ty4QHx541vQ_eH{Kuhgp|=683r82X`C}rt8=ALdDwsc#IR; ztJ_tXW&U?*Co4s);+ja$d}G7p7Aaz5Jd|1eN)L=`kil9p`pm4@lkkM~cQn~~I=v;R zC)#QGi9f&4_Onr7cG_K|mp+%rSC+@pSu+PR5t<4ZG+Q$L-hUzb(mzqMPFLoe**>V` z^%Yfq@}O%^^gszg@A!3uc8!uUqY?C!HvZbqkEe8J;3xSyzTNcKJ#sz|{Og=tJLj*x zxVHB&WhS?g=I8s)F=fv5yu`PsueV}y`u{}sIXQG)nki$f^^+feX5hq3efk*PO)R1{ z+%1^N>+Yg&zr1K5*Mlk6n1W1nWN72kK6Ka`Uj)tH&_4Nk%;WY6X!RI<#yeAqvHR}D z;#2^$T1lR+jhKqaN4AXD!?Eycy*nDc>kB<EZX2{~^h6)nHNS83gNjGIkeYNGZBcQL z&KVPee*T_Ht9t6w=Tm2*>M5`32-9Xdyf6Tzt9EB9BkJjMUP0*FKFCand_y&a&PIJx zteA((uY<2m(~(J!uQajT3f?vdK<9}9+V@;5c&af2g|5${9V9KZ)(nKU`OK$hl@6n? zx+9c%?K!RN(MDIgB2>4#H*>rFA>EpT(1ls<%!?^n^i$Fkjo3Mi@sVhNym`*()x9<v zZ+;CDjfSAm%0l{`LO7VHJOnLTjhGRe&(YJyIbrhYNTz&m7ufTW4fYy7i&<#@gkGRv zjlT_aWC)`w+OyCU_q^}QEH_f1Pq-W7oQ&Db<vxnQD{vq#oV12Hb0(L5!PsNB=p;sK z$_uLbku8qxyOdeK=m|acfhkV59>t7^-9w*i=z}K@_F-=QZlFBhnBW4ilCc|~M=hFb zj@!<sGZCTZX?-;dyh|yYNoe$^Z&+Ak|H##hX0$xBb4D-xG1;Ecn_WhC>{Z7O2if~A zyG#VN>0#xo35-f%9%xeSk5#RTm^<4a(<3|j<I`jrljf^O(?>1v`moi^%r)=miB<;q z%NxY3Pb#3Z^|f$Jln=A`cQ)DUsy=>Zn!rr{c#2q~XNuS5Z)33DWxCm_Ki-zIi;3Mh zh#s|iF!p|y#wf>LrD;=5ysjpYQM{f+*Q)fuB|cG1UIQ(SSJ1#uCT?V;p&nrP@?O}j zW)CA-v7cV}sTb~eS;5r#cc)eM_r*)vwlUiVZlp;=C7i61!fgFGiXOPH3*KO`l^Ol{ ztRzxa8OtkeWNy~KCi7wx@z}=|Ov2`+w0^M)&bfAgNpN{W9j{QwQ*;ZMXBUcy$(K}c zhFu8?)7k*#roBVEN0gxED}nHZ?@tsCa?mWvFnGlJJ-QT?k9OH4LEFG)gnn;BXE(eB z11>y3gYFd~+hfxxV)HH3;gX8NRaEKV<KK|`_U$Oz$eKP;`5R>&*oT_uZ=fDOy@Tw# zm7{_W=P4UI1>DCf3;lX|05qkaLho#{(W_Bo;YgWt$n!%Q^5_^2zYn>FQZ{8E?})X) z*zE$!DNaGzV^$L9_WwfJQwz{K<~>;BqKJJy?Pd2PiT&3U@XVMj)c0-)bX;DK;ED`1 zMY07xFu#Ky4$DWkR^`L?m%q_y`<)1uML>l~a`@b%O=!H68C)Ci3+b1qqav43cs}ks zS{0v$?81t`*QYXg+~6aq`}TNXX!R7m`d*B>yjl%?`?sO2GdW0m({#9aXA4RknvYUs z_Cfz$&(R4<7E&&%gZ+z}(W4tFC@k|7+}XVeJ=&IyTCWvDBb6uUVn{ZMsyzf-JKE5c z``ghJln#eIeTz=FC!;<SQ{nPkt!Q+wa`dTa0E`%L2|4U2MGdn^qUzK+WOAzj`CVNn zO<HgT$pjXn#!+3^e8qh<xmPI)v)u{(EFU9PNf8?4xE?xOe~wn0VZ`&U(3=uH?Q+QT zF}B?tRS$WdR=QI1$(=wP2a91j*e%Oq$hDj5LcvwX{)ppU<5=FMvaS*Gd<=|}tPI!! zjai;{G3`Eae1$XOIaqVNB)UsA<ha>Q(wP|1fe^>XlvzG@(xDh~{OUT(!RmtQA;--I zvD|FVcoW2Nutt`HwX#1ibKK0H<z{on6NsCy!}77K!}=qRgS}=sm{w9F<ha>bmYeC% z+5+`hJ_cAmrWEarI6k(E<zt(>S3{1Ebz%9~bvcYUKBmm_vHcx(sF>womMjMgz3>}y z+-w`m&9029fE*vASw7a~)h_sr<zv%WK6YJIf>yG8EP>@?E^gL{<6sIb2fKJt5pmq? zKFiGlPs*ZnmV*_r9IRK64BE<aGf$SAX(hTKj*n@veC*rnO33lCZY&?uyR;Q@d`yky zV~&XjAjikNSU#qd_6%}-Y!A!FOpVPD$H&&Pe9W+`3FJ7^MV5C>Y}9}pcUs5tvFq-$ zA;;59S)TTy?=r~ou_~7TXhczv<74$KA5*KNAjiiJv3#k1gF52)*j1K~EeX^{93N|7 z`PKfX7;$TcvV6=To<Q7Qbu1tIovw~JJ~oBrV{;y=B94!7{4IDT1vx%8i{)d!y4N7b z$GG)RwoZc_A3MnMF^?gkkmF<Ac_bl&0ms3bSPr((aUkTl*+rI{ot6|sj*q=&`Pd^* z6~yte;Vd8X9P{T4Z&*IYjdOf#A<M@|c0R|)j9ET5(ZC3Dd~6ZR#|8|m1_B?uW}t%v z4i=U@1PQ$B)kOs)@Ui|&=0kyly}BQP4sVO06)PZqlQ;zp-!z#X)Z&i6H%~=lA1^1K z8M<MGz-XirzKZHMj=+t&+DPDCZ!1?qfp?u*?}!B6HBzFD1m5K&7XSsW<>#S-1g>@T z^%^K}t*@J{k-)WH)%8RI*V?gRA{6-5fOTDvz^`;JEQJEU(sr>x0>7FXCXWPu#YQ+N zaH@=H-I2hl?n$zsz<&~l6hMLVK##GI<2<`r&hzfVC%|!@IV|USbfXz^oaZ6Sd3?6_ zL>%WC%5t98_GyUYJeOF`lR0!K;y6z&%X!|pe}Ww68Om}VZcUE!D6pKTDmV{voF|** zJZ_$TkmEdOS<W+C?j__n&wQ5igaj%fj`N&hInNbYfH=-m&vKqGk1P?#dA_imr}l6w z<T%eQmh;Siu@!Qh=P}E9)T}o`j`Ofh^kHWR<Ty_)%X#dVH$sl{9Ai08@izm+ah{JX z=h=454RM_3G0S=M+8hwadA6{eCv#0J<Ty_P%X!phY=a!<@nt!W?nH=^3eM6=rB3+U z$`NRDm#%QC_fWj#VE}pyAJZiRty!(#79E*$oHo_yk3TMe$mohJopjU~*ZmGc3r*F5 zRo+1SF?}_<KRK6PcfcOcs!T-o51vs9=WOv@x5en^)Tgx7PZPW^2%*n5d+0p*et2}O zCpr|+Ox;~F0Na0GhSsb+L5&(_iF4kiBPFF;`qGxc*w`f-neCoSE7e(Hr(LngZ{=@# z+;Kg8d#yRr@7PAa^3%j`A40S~OBtv)7~<gi)u<#a3uK)(!~SkN*q@Q^)2nBjuo`hG zT3c*DH@q;%8Y^PayDrb^%`N)4J!cqlT9HM&7ii;D!W|75*MoF7?u~P7RwH`S38FP( z0A4*eA8o#Jj=tB&1e=HML|aP+)3uKWVQrgaWRP@%wtc0JOX~d)k`1BXj#S24DIv(X z;|kI5o)&hPor0Q`Hv#v}hPcIdC-U!INauIe$JJ@2$SkIr3h34skH4}Rd0EY(2aQz3 z2A9{Mh5ftI_h!oD5p_u@zV|bt!m%4>(lSw;=UgC(SHWh9dr<yp2^|xpjLlY+p)Eut z^>es7?pd3I;$EbJNj7RYnmNdLd6c1PZ70!;gfhmw=`zAf*HOdR3MRFp8O@ciMTeFh zWtO-;MBYUQ(1L)yj8mc<Zhu*eCI%j7o*2pDO7(r{&XK)Lj<!1Pw)ZBguRG45wOTkx zdJHWavzH0mVu(K(JVBA8k2CpcCOH1US+v@?f|<F`4F7KUh(=yH%2=PV!QJLPK%YmK zF<8b1ZyzL&@6SKXgjY$hIcP`a2_*~}ZjUQRt6<&ieT<^@7~Hf_2d`PPgE`l57hTz) zfy-TYFo(P7;<1)SIOfDICM2j2PW0BnicY&3zgrK{IhN;?#uhVcn$7TmC(8J#YzgDY z`s_k#2U3nJVbssxL0{j$K<18B%tGU4bT#n`I=1jQqdDa=D%x-Zof}illp{GjeeP8> zq_CP%yrzajhulI}?W&pk-iFw_;3>MNQpH>kHN!#vt;oanI8#|;jjz9!$MO+JnW2O2 z@k=FDe0|SB=0=}B_^_5Pma*E$7*RSn`kfJexL_Ys;&B)K7^{hA^*_W6ANLTo>2<*l zZ;vo#pOo<CBpLiG^a%5Lml<v<Qo(^?N10EOJ7`i=GxB+Kka;U-&D`**Mt123nCEvK zn2B3Yq1@5Cne9$PnenSmqPeXHnZ5R^jP)i8joo#CIo3mmIePm7dUWkDQ!6!K$-n?? z;#AB$U^)J`UuKw&Kg5ht>V@NanB(nN%bB$+1~Yq`520gC<;=*vN=%mlRfrv72KMWX zOAi}kr8hg6wv~gJ$%hW2zOqHkfqjb1k$1;Y)}x)wg&DoEY)@nSQznm@zs-_C!N-x7 zZXPqZt_PD}bP^@CZe_wI8REzfrugB(EzG<qJLW<;g<8*UVXXIPGA7MuQRuEbrn#sW zuF4vOGwJP2-H+kS7oGE{{ML46^AJ78-RBDGbEJ?-1^Rg07)xxitAz3Y?!=7txPV-% zN*Gg1eWq~3RaCjTjQP-^hufZ6V$}(U8M_hJ(2glu_+!UG#_Db@dh)9$USW5Tx#(O1 zqb{|gEeVI1TQ85ow`*UcDR3|ITInY0u}2LzF0Nq8zEkkDUK2VqeJ3+y{Y^Bhn;Q1W zEMjx83|#c|DXNOv$}C!T9o=fwz^EjTd3m%N`e(mHdB%B6gz{CSpQwwCCgn2qN_*ks zdmoVJ&_YH!`Z7A;+za2HUBG<(vI8oO`i5R=mobqSE+N0$y>R51Ql{lw0h}J&jtt6< zF*U=>pc`sNt*?$Si@I%rwz;3t_nAkS{0=o{k7g}0?strdec6?%si9D9?mkBSOC>xU z_y}EB+sEwC>YxWdJcdR@?O?pNo`5N59-y(W3YkgaKWTYz6lK2J%t*H#fWiLH(3Y8- zncv5{FpqB5py0vm&zSSKL*IiRP*_nG)BCD2b7AlWbi!#H)9+9^e3t$l(TDPxtLECw z^lmrMh*@RK{T`{XyX8;hey5aK8mGgoExC!VFFV96S*(jgs@b})^M{#lgY<Ae-Tv6Q zYA@rJs*lrV8sXwwJDD$+_3`sF{czsvtxWD|Jv_O<1V?YpV{}w|;#@QkTbCCy)fGB; z$X9cGF|~}*p09)JGc9oY#44sBR1bd*G{s?2$C*zbb?^#JbG+gEF=j~pWz;rNAL~7? zWY#m+(6SOu+-vIrX33mhSg(6uJlyyI<4Dz`JWmyDIHiagdb$@rI;anJZrs6CEWL&7 z!rAin51W}@qxA8}k;b^+^36<i%nfuVSsgFwk<HAh)5X;1fjBEGi_y=xg23>ec*2Ek z%$94~c$dcz95G=Vvvku%WSnV;y_71LyNk84+z>0gaAP_1{q6;n6xI8`)QgJiS39fE z6xRoKR;MSf#}n7-iR<^owRz&2z0T_N#I<?in!V2I^u#rL;@UiMU9q@MkE^K@>K4Rx z$Xtz|P-i8sVHVdmi|32$lf|{H;<{XMz3%_2M)&`T+BR|hOlNg0;(8Tv9gDbLMO^D5 zu4(D4jzwI%BCcuatd2!o(;}{I6W6qeYhA>3DdPG!@$=={Lj7cC^>yOUifiY@HCq2p zjTyI>P&3K3g=hW0yXHh(6Y`(de*8N%9^x93&gweEwHD%f32|+MxaL7zZy>H25NrKn zO}{g}p37Ye`o37Z7whJo>EL2bT&$ssb$RjnVr^QiS&KDju{JH%qs4l$So7u97i;c< z-YwRM#cgiBpqq1TK~Lw}f)+2<sl~dpSUc`aFBa>+V!c?b5sS5Bu~sYAVZ}OcXL@L7 z8fa&la%Xz6SThytq+)GUteJ{+Rk2Pg)=&Ra&9pPEQ>=%IwM(%cD%Ll}8mL$&73-T~ zO;fDBinUa+ZY$Pv#X6=~!xd|(Vhyx29aF3ia_^p?<%z$u;`$tMjSV+PsK?;yXN0;7 zZXKa5*1yCW*}tQOiN6<OO^sjwFU?D=!;1A;u?{QNUd7{LJxi>^inUj<-YV8u#ci>+ zCDyRSn$*9ed5PzUHLT9GF!8up&+1Gg6OW5^F7Y|VZL#Jhe&0IN&Bgk=_}v!k_+l+y zTpJ+%PKn=Vu`VzEeu--s#NV&Zz9Zsw#Ag%Zkr=bY<6`|ztik=KI-OX96YF|n{Z6de ziM2ej?k3jb#5$T-3lqnDahw;|^N7dAHA3P#pUyNavCbvdzr>o9SU(bLOr7aCVl7Op zd5JX|v5q6wYs8w4Si9*=uMulHV!cMJ<A}AJe@A~2YcXOyr8E6Stk;Nj7P0Ol)?CDz zj#x_)Ybc%RN@D#*tnY~R6tT`C)-1&Jeq!z<=1bz*JaG-4IB);&<m$z_eerq3`i@xB z5x2#fjyP{G)^x-=j##@9>owxGIEOFJ)r)iQ;(We1&o6F^KP%4Fi*x?swmAPU&fAN% z0C8Ka3yAai;&Y1I;@rOY{pn1D6Ki?mcT%haigi8l`!CiR#k!tY_Y~`rVhvRM9TC6V z;xmia6rWAZ;l(^(JTBHL#9D(`gAi*IVhy6R`C{EctW$`!39)7&))&OOgIF&R=lsPn zSsaJOZE>A|xZXfqCm_ymi}U|tT|k_>7U$l@IeBp&Tbzd%=jX-wZE+5~vs}G62QJQg zi*xwmyuCOdF3y3AbK~MXwm4rc&P$8)&z<F&#pB{Ub7%S6&hnz-+`Bm6F3ziq^XK9` zxi}v#&U=gV+v0I?j<mBpq&QzH&c}-Lw4LQq#rbn_UcIyYsyN3h&Z~EpcNOP>#rgKm z^0DGvu{aOkS)Nv$PZsCrJImjS{V9I#o#l1Kd1-MzU!3n1=kvw7gIJH~EYC02bi`Uu zXZe4zej(O$I@1Njx`tTa=}a#W>m6dPr!yTvtb>SkpU(6Ju|6W!fI8D1#JY)C4-)GU z;{2HS_oT!>M~mBHP9<)iXa9eevwJg$NpDrDg|m+m@oK76^mr*z8DvaF49q4B$o^FK zJD&XYsb-#pTCfo%_wk-YR$Gm-AM{*Onr=ktnPl?UKerzwe2i47px`oM>p=x->x~V> z#(AyewZJj_buiqWcp&{uE@*l$+2x`}byw?7q-~R>R+v-}IoVyPy22bHtGGY)eZ+C% zOS};^{9_t{R=+1-A9f=)x*Jhd&SMF`@$bm@6Wb)iER3jBOL;=A$1hSiuW)|he*WF_ z3+ENiFWk@nsq?F92C}tzrP31*7yWJb?d*_V{TT?R9+e?SXHMqF`)`~AB!fw*F699p z>()x)PA`63^{z5lI{uNgYQHilFQ}C|FHitK_C1u!S!jY$vu;aQ`l*4}hpVJ!?p=Xw z7$wb9?g=8xZ%JPo8iHQhS9m);nU-oM>Vuwx>iPcTr)|=@HF}_9X}h$3@OPq@!zJn9 z3LOA8{^YNFjOj`Sgy@6$SGtnjZF+)Ki*Dqb1TCP;bV&QfX@Z!_cB$mOCSWe~AdU8G z1I3j}<orx6aOF~)bf&)of9`cH?F4t<q>Vb?=g!0RIs5#L3TdaM4MsdrCY`#n=a`~O z4v5qQAnk{gvpV`JBnnXnYxi^~UpT9So|ZDCYcCb>IQ6@9L2qR+ZJ8FSaYg|&Z2Tsb zr4_)TL<2JH;txVq<Ezwo{x_n-UyDpwHIm=&{MwPgXGxtjtZW3RTJlx;yiyxfm>QFx zlr+H#Co^)Lf)>dBW<mP2=zx>W<|KE%xJ7+=d(L4HZxy$ykuPd>f&5}Ma=)cEP%}5= z$BkTikqu8Yz#MZm@~4+ND7kD*rgZcGckbwrYG&#n>%tK7))XbMJG~F77^e*SjkF}+ zr~W1uj<qA3ZN3v;nnOwd1zo|B02lI+lOlNUGm^ZQ*$p(DcO?fe(gLzpw){SYa@M5H z78$TJXCmJ>FZL#<MQH=Coql|O*w9tv^*%kpa@P&y;JwNqC_b3%(Y=XSaWI4||MZ10 z4_iV$sFnw#ZX}ZGwJP9UbT*l`vYA-0FN5@d^pNOsZ9VyR)Jr1JI)kjg`IRU*oJlfi z?0zb_WXtpMVCB;xWbq(RU^Q2fj4o^>u0~{$t{a<(WOkiX-#!v^w&s!%@CPyX%Xada zmN#%al|xE`W`H}#bIIMMEyTV(JIJrgr-MzorDWg<UvRO{Au{0OG;n<E5i)(#1LA;D z6*=tl6d-HQzAgj&Kp)>5B(hw|KR?cL-<M4%{6SZ>R;hW<iC}cIB7Z%4*8p<DuZ4h$ z8%R2y2?nDS?Z`1FCj(`F5B~c5C@<2<cp+G}eLC6iLomp-oku?EI|)oSj3ZTti~$E_ zlSyN{?}T$yg0whJ4siBMt153Ts<e1J@s1vE=M6OC?GP6;-a4iZ;cdE;18?*9x$u@- z@5Z7YQg3!W&KAE@<!wlX7H^MS)#I(qa3kKv`I_<8HhBnd7g;*+mRpbeJhz_9+Qgdq zhq?gHK2cZY?Y+yIAgfPejq@-)ke#%y#(I?z0DkLgEENU<_Ya9R2Rnv<hSH>(ZD;Jj zreldU+<FOai8Xce3;~?Gi;Qp81uk=Tk#iGN0rO%n+1*_Qoc?%}9EE!Ta%T;B&RZGO z9zIVV9;E_?EV)Lmanb;8d+w04t#v`v{D&mBPTIA{ytQ#XO)k3kC%zq5{S)t!+W*8i zZk&65LVOeAoe<xIcz33DD9Ao}Px{Kj91I_DS^9LQIUo1>FB!ncxytu8e0=+EHW1jU z(bAEYMtq#BJ<^AdYigB!`FOUb)ET7oyevJNZp_EC`1(G49J{4t#K$qJravFQJ{>jX z<C!$YgpXf`-TU+LEULtmk7GYmT=@5I$CIJF?WZ)5x4Uio@$sr+fGHopsxI{B;}vJQ z_{G+&@bPMUy%`_Btb+!FA4YA`NJ9%gZaGY~0grorl|EcCl#g3Bz!^;U{vwrD5a4XN zMyGM>jr9ONUbU|_;p10|r!gO|{O$Vl@$1`sBR)RaD4X)}Ny&czAD0?mn(=Wd*vW#A zOLdw9`MA_vW6sB;UXQK#_~fx}7}(Tp7)c*?0yfv|$yvTbLAW;}H9D;MxOD8CDIbq? zOW5~{jZg5aJ-DOhMXot-!p9*M10z2E97{9j;}11z6xg+IF1dB81bAC4BfWIl_gZfq z`FO!#KK^tcI|B5WkwM}-49<mZB+1z$LGI&Z^7D8Xz{Q^-dmaB}{HabG1@Q80a#8R| za4>Z<SttQu!09~lLY@=&SMet`1cU!o{2Bgn4ER^^M~E{*-1*l2C(a1*MTj@8eg4<+ zCH%osJ}zwjG?%xxcZTqmS~HWkWkV<P_G=$+-afqQ&fCO(uDm_Pex8d1H^0v1?ZE>f zyq%CblegN&lX+Xx)tk3Zue<a1u%#<+OUst<@gncmJl;BI%;w|9MdMj~+_-sv5+65S z`g!qjBY3JiA2&jCM(}Y%<(Uy5Cyadt^Kl}JeZG90*lfwiiSr2-e4Mzq(VUMH-M5?Z zaYDDmn2!^m?Jf|Gsh`Lb<D`GvNt<OU!xc2aS*$1}yo0Zh{<eqt>uT?-`SE|AUljc3 zx<kJc{B^ga^Zb0Fe^x>ghquX-{@Ta?wgz)-$#Ci<!P)P}&hq1TTh8+RH7Qs4K4-b> z7PD^geNXdSd_VB+1HNB1=@H-O)-9+!B%S;HByUfRKf~LD?C-B|<K4q<@ivfrz}q=0 z$BFr_Bc(0FNZxL8J;U4g7ccYHcJ~e5jw`#*+i8YZ2=7YUliWVsd4&5A?(6?;_YsjR z59YN7QAZBlBU0T1sUz1O5e;e4)Y4Kppi;hq@+zz+S~po!6W2%ytz!eJK?g4oE=9If z^Bzs0o)t_b`f330Tg#~pviFF|<>u5goqnKeTQC*D#&MT*i>XK#M<7kNqgJeN0Iw&9 z@b<ZRB(-@B0ets5P<K>D1Fp|m?s`#!3`n0kfx5KeDPgs19JQgh5m<e2Je9Ir2iR=& zqQaAh0kvx${Cv(v^k^ftbPS^uJg*W#A6%#%#j`>1)gR>I+!;XC^Cx+BlQS586Y}Th z&duG&Pe*6oa`(&ix%=hz=g!0RxqZ2QNCc$3RaqW$PL7I8p8@u(C{TJMw(;|O2JPVe z)o?zD;QU7>%_BH}`H=^B|EyS2%=_(ByB*=!6ioe?K8%=Hu$+Qg?C%e;ev+mv<o)F8 z8_E0W6f=?c(}{#hydOBr`K2IwJby0P4SD>z)a#-M&Oaso%Xxp~^q<T7=j>uX-Y+Zq zmGgd>+HD>07r_sLU&7~m^Zxkf`+5QAf%(Vk$gf>ygZ>xqlW~S2pl<9H@<41Xuy?&j zhOUSL%9qZNpLZ_@F86Pe6I&MpY1%C^bjvbOB6&_4EnNv}jy)qE?OP0tpL`>UOA+AM z?p@@UyOBUUU?&+;wgNn}*+p(7R{%q>oAiv21WH+rq+Hbkkl*JsnKw8TL^i!6TQ<%C z6H<4R1!xYKvSv3qb4n;!Tl9!rQx*t5>pUX|4w?y?yzY^Du_0jgm^<VoqXnQ}w<glu zdNDXYw~lO03kGJ=+hnV37)Y+WLSB5y#?LP`<TS|)(DNkwD_|>wK#SvP@?&5KpkGNz zQ`HbqaP<lq6Fmdm(7#67dIf{4UUlS`HH*OguT|vPB{3j8<plZacnt6_t|WD}qk!Ik z8qz8y1n9*|$+jCYU{S~uGVkPS302jPy1A!N(y>{Gy8jcn^hwd799|bm<eRjqvoC^N zO3Sq=Bgr1gFUxk)sm~(Gl!Q+t-1XU|+~O1IbYPRDN1!s5zR18OMZcZ=<l5h*o2?2p z&g-hArvFE>aMK0J-DO`${j>*?&!<0-GAR!vqgp<Yk`Yb(xRv%b$@@$hYM1;&iRU&M zs<P^w#CClL*_hENd3LgceD~^-WNzCx)=$qQ&$oRex8~iIw3OT?=UEg<_Q&5N+5g*} zC~dk+>JPIf)}g!Prs%<hZpl3|(rCQoOxK&_<@*{EOVexQh~$Zq$4O1(We;D8-?#f@ zszw;mHK>;S*5O6mjj1KyJIy2FqH4*Wv(^xO7SxiOo+*UZs#<cd%W7iMv|94B{zi#q z|19!l)LNGqoWomr=VG#6C0oK-eB-6$gia=T<M&Ix|DoN8ke5#(eXg1j-1Ue&AA*TY z<}KF;&teJZv{X`Bww%A7GJX^Bu^@|lyepmWPn%pw1n<u#RU(S`emC1R$-;&Re&2Lr zDfy=8p~Nf9mwcXUNYsvU<kwBmFefiATTMJ$V@s}kl|`h#@+Xa6>?D*k7Lb!SCQAC) zjpaYD;^0Td6!aw~#=euDjaWw{&p0II&eznDE=@PeC1#zICtc=L5ZVVYi4V^Ni;pW) zV=wsubtPr$+gU$w-%ghbiI@qVzt^RXo==g)^$DU}LXS%tmn@;a$3uxmA3v&R+y|G( z`eUdqU8F7n!4AC5K4n40PSGK97X(oczGxCXM=zm9xjGObKYXcSp6<j1zcG}##}r~J zcA>rV-ry`g|keWS3y7rMw@pcheH;Wt1xsukJ@V%XkwnoZYC=i-L*t=k`?i&e{BY zH=o|b+yzsl-1(OeFeTHJ4@>6G3Fi0PG5*gwx*OQON}yz_5+-+Lt&=q9Tao10WJ&AN z5z?hY??_UuM@rv#q)MU_KS;s32a;<el*peI2Z(|Br^xYF_7FbA8B*!eF{0e<EcxS- z4>9=H8PacP1o7m~X;OawT0&OuJn4HOjhNPSn!J;rOLSE`O~!6INcelO;g%{U)*YtF zO|y;>PhA<34)7wXpHigsTsZM@J53I}8BeH1Gh|TrbYkHgihNv_OX&2a$cZ6p#BA&1 zq(bUd$zX@$<k^niME$K}<nUNa;<oe{8M^F(B){<x=`($YWY~jB(l|LlvMRZX+~~Po z(wbI9nm=*_7I9kC(aGW9wURnz6XOQFWBXEOcWgn3mm$?7Fb1q;^r>f|;o!K20Tr(? z8O*5cM;%L<1<b>GQ>k;@z_PafRB_%=a7@R9pMP^*KZ=$Q2YH2ksq-Hv0mle4s;Orn z=wfV2ZT{R$XbkI0EmXTfpzU&$(WYMD#C=)Hbd@?-ZPbO*Pi-gApsv&{69sVTy8^Y_ z;1w}nzANQ%_d2odryO;2XD@Jnyd1T0t~wa%+=WuH|4!8BD^R~bDS#uWEA{r%bK=D% zb*eS(8u6-Cg^GLD3xsx4rDis309sLvx^4TDaE;QWd>gxhJ!>>6i#3ml;dzEsOv4qz zrmh!t=$j7s(9?io*%$cypciF&{0FhIus7vCup9VU)|>Kwpatx#3@8Cl1bh+jW}ns^ zK(0UcH@@s0&f?k;_P30JmVsMKK9EEGVnD{i_oTCIEJ)9I^f$f;cp~77fH(h)F9NOz zI3wW7tH3$He#D-?@kGEE0dM|Yd=c<Oz!w2;1bh*2MZlT=6kl{4XM+hDQc}PZ0bc~X z5pYGonZNPmFMJX3M!*#TX9RpXU-$=C7SH&DGXwMf;7ZNbKR6TO{RdwzYyQENNydM0 z=Fz!7_|m=L558>t`UhWph(Guu;EI4Vo#BgsD}Uq6U$`RR%zuh69IkM<AmEFDH~**b zh1-|I6#-}d@8XMqD*~Pf_#)tnfFA;$2>9}!;>o{@BmXXb2)H4{|NlSk|9>;?3-Mlv z|DDBs_a1Wyg<hf5x7}+A<KZKzwMk=$`1&Cffv-p={Djo-V<yD$HeG7c5miaaWFyM9 zU6=TA_$L{6cB@OnMOprO^76|hcm2hZGbHzUU1>f!b7HBa11FK(y1_4}lMenS#OVD7 z<Qbxf7^6Ly+^xThSbZe>Wb*?Rur<0L_2rH#7;mzNJion>*m`{nS##_GQM+OQ^?J$? zB4N!Mk^p;&>|Ni;_nY<*k(X`xbFMr!gg>{T*+~8z2cPNk=X;<2ljP35!}l_Oo>#f~ z{5d=dr}O&{tsTVglfG{Y$?fafv76-1ksa2L;`Tj1X8^_Rw|><(lG}fIz#4wvdDXVm zx|k=#`MbeX>fDQjY*83*FHP{Lyv93&LlexYcez7&`@!=!kz+cZYzcosqz3op?VvY- z<oE8c32uI-f*U_?y1qQ%u5;^dIPXDysqy{$^KVBzmU8<{kQqabj+(`fbL(BGtdvGh zKFrUbGccSVUz2{7;O76hSjw+o{b(gW-n-%qzdtvhJNMp3qrc~K=i|<usW6V@&Mnwy zt)KXD&T{AE#yQLNx$|*-&T@V3TwI^CT%S7+*XJzP=gz_PIm`9A{kcA8xjwgl%b73y z{(>FfJc#!vXSsd3an5pmZeOm?S+39R%k??S^|^hyK4-Z;w=dV{EZ67u<@%iE`rLin zZSO7R&cRu3AI@^?bCz3|v)p=|<<{XW_j%3=pA*&*{3!TUSdX*ZeGBVymg@`abC&B1 z`*4=)3;S`F>kIpGmg@`obs=B>&v|g|6{A4RiMeFtBp+ZOy^&0@odVorH<90-Tp`9@ z+)Ao6&H(h`tz^`MDWFkyGwD#_4P?@{lNyF~#Fq3TQl<PCv94PMxoq_%qIt&=^6+e5 zaD2^iG80}Ve(bLz)nZ=~Dho-{vgImKd-FQkOV1BnxOSbKdet9HKL1gwR6Yefj-aHH zkrTo0WJOXs@g8Ano<thv{?ThWU1ph1rZg&14sbU6ks5DT*=X@LX1gA5n?sFwJM*#` zZ$~V!;%%v&18+H9hWk9Hr@Yb1C2zC&uNt*nvL;>;9PGD;)fW{&s?9;tY-ks-F{GNj zmM0H#zh5Nb0|oF-p@BT4+XD<6`;@fZqXDuXz5Juc3~V7g^WUN|UO?<W!Eb^eUsg;2 zod3Fq3<sS5OxnGH*ngYzyxIR(t%{rzJpyq43p+Cbi2Zk{_>bS@FaPml8~WqFikEIc zt9vqeCi{>7v{4Ly-<;)iw@vj+`MzWMJl<{|G@G~Ur89YJ@M#incV&3-_S)Mqyq!P5 zmABkFT%Me>oKBW)Gl2JF<3t<YkH_1F@_t;p$Da4&6^R}1$LT+Y@_xKeTk?MNA8N+? z@t^b2uV((qQw#ZQA%898p^sjs_`I}`r!IYVlFw_m?|8}QkvYrdbveuBixs!N<nzA& z)AfT(<=Ox9KZqK1SPm@GTuE)(s>$c~9>i&Yw7lhfK2c$}C6#>C20R!&gz68%!Ss2G zRE4|=xZL1G4Zr@IIB7bRlBo0p77cdPw@6>`F84cWQSA=CoKT>aWd6y&b{w8Z*p{uJ z>IViB3F^TVm!IR-|2`{*->-bkwEwbxQu|zfeeUyI-jlOj9@HdhIlo`qhXwq8+&GsH z<t&#E<tʢ{d-vnYYhgK6C)TlTF0!_68<;pexaopHeG$rZBy^k~qQ`+@Am#DQtG z=gB)?qCs`q3vvnjbL-P8Q|jC=1K!g8ba=aW*b0!D{f2a5mV#|RT1XGi6(CUhloWpM zxyJsF!s9o!lDR(?1IFMJIbmW9xHjNDIl1==urT-?8RBzQ688H8nLqrQWW~WRq>XEn zBvrkQ%-VQ?xAn>wC67;kA-Vim2b&+WX7gfxY+j7ZlPzTPWR1<2B-Wq5@p-bY(hhQu z)iX)?)^Fsa^M@n@KR1$ba!SPSPfy7u%bO)BDNW?D(`v+kraPp$M|WcB<ENx#dk?}W z^Db$<dMp8cH<GdbTO~oUP2|F{&s?q!dq{%5euVs@T5_hz|3%xI$J<oDZ{sH_q)Z`E zLQyiLfd<amD=A|k8kBM<Q%Vz>bCife3Q5!{Dy4x!6z8m^nMx|9k>){@=F;%HuKT^N zy}LipeqR20eqOKZyY{|@`#s%j?Q=GtZ^MhO8uC$D-L_qd#_jrvy+36Bma=Yd+*q`- z?MG#&wz$4%d%u^<n(Z{XXiC-1WlJBOURdk!_sV|1;Kss#cX_?6b)!{9{JxA={(i$N zf6w5R-$T7yaDHLI+H=YWRGm{e>5b9ll^ZuIylHda^5Mrk-J#!vF6A{hPwKGecWv#; z?}PYzMTb9rUe)o{21N@_K7UoC^%IJg)Em9JW#`#NqaVA?zV|u#ng>=der#spGo|O2 zUw+kVh0h#(_Nv7dC))M1ZyqT+?&u|DD;nNcRC)2@vP0@TQB--+lCt?7`V@VzbV=Fq zPi2Zq1}-W4b^qh-`<=$^FD$zJ_{C+L@1JP;JH^w@U-kPrR_B^m!nNC#;d`DceLC6q zI+xrSzPIW8VvVBDUwydjp0ei(d98NCe)fLt#K4c(Sgq){SHkx=)GxYfjrm@#T-|(6 zomZ`>+R)`?XV;i+{HNDlYS)rE_3e7!4OI&(f3~b_r#e&Z{p*vb*)?-<Y2i1$SCn1* zVD%!N!=8g0+LhlI@%_Aa-?8)2IX(C3iG^jqzg~9uKOY#suJ!4KSD(AJ?3R0{7XI4o z^Rkco%_%zRjm>2zPPnsZM3<M#*8KKQhw1aaC>!7UqYjf^YgFE}f90aKw|`PL?%NxS z2AsX6Z07DYY@7{O>|xhWyVfckiSMZ|Tya&VWZ)j<_mv-+x$x=T%Xc1qaHa#kFXpw) zy!v+i{@?w|e{1+%(F@oAU3T218;cIzfbV^0)ytf-@%OSnzuzOX^ou{szWcgqruU|u z%1cKan4!LM^4~=xnirI}>>R##;=dExuSG%m2kV<=9zL={dHa!H+V@L;{C+@&-xn3m z+dsqafgb(&-6G!Kw;Zy;u4g3;?f!nDYg4;M_f)X!f#+AZtDX~jZs<9o=Z2mSdS2-H z@zqmTXFfS{V_Dh!F`1tiZYrzs#puk}yR0v(vS3tZ_x(1MO&J)T2hVg4&x3xw!}H*; z`r$cn#9iUJu%U5y9-NNvG59>-_Zxg3?1t|#_&gXt@8d!~4>}k6=YgIBdM@ZWpyz^~ z19~p}@AE*<0X-M~_j#b_fSwC_9;m<cT=>5|4|M<QdGLRG4(PtubKrmPf8Fo8zjeRs zKG*%N`~CmbeXjdk_q*<I-S7W<pX>hC{r<oAx$bY>@Be?@=eoajzw7?i{r>;=eXjdk z_q*<I-S4`;b-(|=y3cig>wf>=`~1hs2WP&xphG#Ym9};-->*gG%)HLWm$w_!HnXBh zVfpKQDrfd=9^P-dyGQvkGcV8ldRC!byS~?>{HS{`%j|trxW4dIhw|U+_0N1WqR_5I zU-c+|EYmMDzD2km_GpLlCpUJ=47sk*t`q+4QU1eCM`n&F>2B9L6+77PV*{riX21XO z%HNxK<?l<p^7kZO`TG&C{Jn_RGg{WM-)nj0d;WeTp1&uN=kJ@m^7lVp`THM#Pdo3= zZ&va5HeNX%uN;q8j>jv<<CWv_%KE&rj;{QDkneTnxMQa5npwZ<{IdUkAHeSc_<Q_6 zgC>;m_xolKj>>+YpzjxMs{2FHd-tDTo=mG|-w)_}0)2lleUE|+zeiyG+v+V?&HDWP zU*97zzw*!H%Q;TR%3W6Ldjox+z-x=&3(ME8DKBDP-yi6Eh4aepwLJg6oZnCEn|_a= z?-$-&d8>WTz&zK-JikxS_YBN){+CwYB{S{0A$iyT%fZ*#`kPF-<o{Uz*81NTRc$_^ zeD$Tf=UxBapKQ1BS-*Cr#sA0pnV)odXIuY-7l-Fv{~@)b^7G2p6fyt5>%Z`+`z+t# z*C+C>|LJYBY<%XqzW-f6^PK;%O89SyR>Xe`T7US8sF1?Mig-ilj}vzWOXyG5%(D2W z=?0mc$p6MEAyH-<lM^Fka$;o&M3oe~;YwJtDz1b~PUL@Fm5?a2CHH_p$mGOo5D1Af zTe3O?LMA6_mfG7IFcOy3>|}CcO_&I6o7?zW5D1x^sIn@zCya!RsddTZ#M&?s+Hj3+ zNsT3w6IE8_>Yxf?N$rSCPOJ+Pp+nc$meg1>IZ+#~Hc<sjDj|~-H6cxe|KW1`kC(G= zb)GUgQR~y*>RfG1RIxuYIZ<Otl-ZKH4P<hnCLmE}OKR~lIZ;QZc2T2QQn!IjPSnOr zl-ZKH4P<hnHeRC4megs;<V4L<&Fr>Mvy;h*Ix=m7HpPu8lN0M<r-{8&)W?;uq(qSo zz!N6wjl_Mx6HXMlFL=U4y^+`uJmEx<`++A+Y=kS(I7Jg&2`7r&A3R~A-bg$EJmEx< zO~Df;>W#!^;0Y&+JP<r#;z76)+FQ-qi6R@pNSLUN*B&<qPdHKJ!QcrKTi{A)>_&J^ zIFSUQO)*hp>2zAcKsZsP#x}7POoYaEWhIK#c3M(n>5yBa3gJYN8rwuA)FwIrCyG=B z6AwXoLKAZnk|@%hr_ND(tMyu0i6V7dn5Z`rHMSE)>b5XZZzO7hP86xlFj0-A_Haig zQKW7QOX`h8xA781>b9_?-bi#CFHxjU$CBDUb-rfpM3I`kiCVNa!5x`Ik#5X3=mO%< z6o=tTSlPpIC1i5q5fF&BDca#mSn^0*37MRD6a?bv6vyC7Sh78?ghZK56xjg=qA-Pt zMR-F<l-ZS)$%z@Hh$zLexDuAs8<kZB6C;=ii87nm5dxv|PCO0*A(Ioeu1+uzZikdq z!cFLSxCxn@cmf1MW6ET+?F@mC$%%TS@?BsgTv8?{c7=)PmZCeZge806O336yP5nd| z2#syYlRywXQ)s75)b`2b#9l}c5@oie&QT^OMo1C8Q^;gVZJ!o@GE9Vt+EbaF*as$} zZwe=>oJ@H|?Toh3#?;=bf)ka{-s*HLDW^<MJO#5PPEBzdu7o8|$CZ%DiArcG?y%*Q z$%%R<=vmMYLl8Em#*!(oDDn)12uo@#RdAvb8q?i^XQBcjlM_`&qRcjCf20VRoT!b~ zHfmEWsU4BYiS1F6&{A}+meh?TlM~f-Iu&h-CFN9EP0U11L?$PyoVril=$0ar6SX7S zQ+M;8g*6f~IZ=BnQDz(SY@`U8ocKn?f&yXy3`B7XOTGz#kSVVyav+j~B{w2Ps6t** z<XbQjmMp}T&?X#>*My0Ka3#)3aW1ZeiGy(^WOCvV2!uqLEjbhdA(In_K_G^wI1g9C zk|S^>WOAYs=fgl;kiwF3%H%{PMj}BtQR~tsTnGbUW#v@zBJhNX7voCE<U}n&&sp6b zmeed|a-x=^z122aQadD*6IE8_+%2e0kjaT!f;K^8+n5?lCMT+_%ISGzNo|`<c}0=B zp)9GrR0St$<8@S;wIwx6nVfhDj*C!vSN2i}giKBx1%XgmRj@IYkjaUoks>r(Rj{NI zGC5Hb&?83^w4}-@IR--zCSHasA(Io;@e*aWq;6K3oTxinCMRBw@d%lms99>gSHMWv zn3|nTPP`H(LgiiAs~`|EIq_-;ghZKb%xfSJGC5IYG%+V$ixeSJCM&C{%j86jsiaJn zR1fKp$6^S=L~WZ)PSlt(Ik5y42$`Iy2}qRL#vF$fA(Ioe6p1oh@;amlnVfh%1fnFx zcw7lf-heA1lM^REAXKgduL(;kArl3{#EG~PnwTn>sDw;T)Pyt<Rd8ixa-ud`$r6lD zSW==6`)u%pi8ta(yj?NCeV`A3KpdH(9j=5Wi*Y4n$}5VT1S4U|fw&UIDe{UUH9<>i zcB<gS$tXwYbhJ~Jya@s!lM`=-K<IQ-!IDbI<isgR5jsy*u%r?)IZ+eRL{!0&O338I zsThygR59QkTnS4~!<CT9iMK!?G%+pBlJBAfA(IoQBSpLi1Mz+eOMZYigiKES5CWm4 zXla(*41tiziML`rLQB!oEO{FQLMA89fIw&|TAC%dU_3%5C(cBQ&{DKCOMZkDA(In7 zhCpa3TAC$4fk4RQ#90`R&{DKCOMZ$Jq1kfggo&Tw1)&LPf-b2sH3t(9Lj~f{6u09_ zm^d3(LMA8P0fCs4Lied9b-T;t#LqEP;)@h*P=T=I;kXhq<rOudJ7FX&ITu$#74nK- zVoX9NOX}&NS<XWh!o<69C1i4<o|Y12wxnjMZOl6%k#}PV!jh%95?YcIH35k-Tk;;H z2$`Iy*-4bylJ_D-$mB$=Q=-h4oR1VClN0qxG!_QpD{MYtNp-;2AP9HZIx2O7JF>Q@ zK&Zjga8_39(|M{zP1Lr@q+v{4fRe;kOosR-g^Bk;AY{rbiu@Ky!jkvnN~l6!QRH_> z5te)aS3(u?iXy*9im>EDTnSakD~kL9DZ-Ku;!3DOUQy&WqzFqsge##6c}0;wB1Kqo z5w3(P<P}B!gcM=PhjArTA+IR%XQT*AK7uQu3Ql|!0-?j!(OL2_2!u>|MUgr>OD;x= zP=&mrNFALemmo!`LS9j%j?R*gBSok}UQwiu&XP|cMW{kvQKXK}l1q^yR3Wb@Qb%XW zWk?aKkXIC`qqF34qzF~WD~i<NTk=Vy2vu<63J8P_TSsTfl@JJ-@`@sLbe4PyDMA(U ziXwG%mV6p1LKX6gB6W0@T!j>&3VB75Iyy_PMv72{yrM`Qoh8eVB2*!-C{jmf$#SF! zRmdxf)X`ZoMv72{yrM`Qz9kc+2&M@qt^q;(f+q;^YYIy~1A&k!uPE|2BneACiz}fD zc}0=GBSl#9Ia~=<$SaEc11Z9i&*Ms{LS9kipGXmwd;wQN74nKAw<ASZ@<m(;Rmdxf z{0k|<k}u&(s6t**<ljgUmRyS~p$d6Lk^dk?SaKb%geo}kWe9{0`x(3@EGbc>PREHN zbpTEjsXcb0NNuANMQW#<C{ml@M3Gvr6GduMOzegA5*<=RxDqD5f-CWAiuJe>CccI% zA(Im~Kp<XE@dmDhCEvuAkjaS~ArNn+cpF#3l6oU?6L`YJcW@=%O(BzsBHx2ZxTKsi zIq`kCi6}(|SHjAwoRTt|s5cTLga{K=rX$`HAEa<enVhH{`Va|1>vl;cHp4)esM%^_ zPSiwBfSK5m!jdW{lM_`&CMSM`GK5S{{1^i9Ns3Q#C2Y*ka3y4NqRM>^1EHl^@(U2e zmnqy1Y1?FSq7q*rN$BXTtei4AQHkD25m5?Do{TqyHe(B36HX*S=m1Ro8U(R5g(|qD zOit7eiFDhi4VTG@+Ea-#+n72HnVk3yW=VXT;yYXkOMZ_lA(IoeK8Z40Qk@`^6ZK5c zO{=jj`2)ryWXdaw)Yz8Xh7_R+PE<LGKf*{@Qun7!PE<nWe?o|`q?|H2QQM^h(56^Y zJ0g=4byQlXcFK|xMY<bFi`K@g(JZNQs-TIPsENqrM75;Ky4k7~WpbkSRy*}Gc8;(y zb!W@uL?yJRzaT_dQcjti_$y3=9vB+NlD|P9WXdaw)G(I(9VtQ;oTv%N<V1a3ZA6;T zbIHp70fP85#dcf?6aT`MkjaTk41s|dn!=KD%H+hq;UtEo7=bHc$$xMqWOCxa5D1Af zTe4s$D1c0P#hqXvWU^!h5QNsLb(^S!%2$MuFmY$RAY^jl$uJRGr)F(Q-5WAFQQM{^ zxJ}T8%j86rRXMj#-Jdc!QH$3)HMY%GW69)1l~p-yh9&jnk}0n!Qrl@s-Fm9vL>*an z!+9b)70ps6Ey>EN%r0;fyQXks%H%|iRS5|~6<k@FoT!OZMv71cODZ9g6Ey+d;o1~S zs+^KlP?|7tH@qNZa-!ZS={jDbNZrg<R&R7iUyk7j6P1+7iB&NfLhIASEGbc>W^ba( zT!~?b-BE>bW6I=2C9Z~<*aIoTl5)zFSJXtbG?%P~QiNu2q7o|aL?tA;F{`5#p+k2) zq&M0=S5`@x@`@sBU<kryD^e4y34t(CPMMsjgqBbXDZ-L+%H%|q-4kx2b_z?@!5cy* zC#q~+7zkBxvz5t-n!sL25vt&3E0Ys7Ax%UTEUAP{PSg@4>Xa<`Z$*3x0rfB$LU*`{ zdZSKo$v3dagno$7j|7%{69OSqUQy)lFcOyB8<QYZA+IP>6SSn3pbAdZDbz=4qCpBv zYENZyqE2BSBnVZoq!KbYQKzskQiLj4QVE%ys0nEzs$fYaWO8D`&e%twA;u&2OJT{K zAP_P+Q4?r{1W^G-!jf8-Oiru_7tt6gVrRT2EV&C_5HdMY>)RCuqEZS=YF#opQR{1h z@reCXSW@ef$%$Iu0Z0&)F(zS2txF~+YJE+SBB~%oSW@ef$%$IuZg3M-Q&>{#lF5mh zy4KkY;}VwC?6j2KQI;@K6VPn;fIyh2F*G5Ud<7=rwG^{)B`kS6u7pfZJP<P@4oab$ z*pj+0WpZLQ%#5g>Vm*c+Ecq&~giKD<EJZfQ*n}nT#FdcAiAvPKn1mBGTRl|{MoGfT zw!jNQCMW8Rl6u6t32ECjF(+ywEinXP;@!9sT9Ol$(8O9HMOac!nVhJEX5AVo!jf{z z<V3wu(yddX$U{()u(CC=*@Qk%^vPtR4!af%gbv+A9hurhM`xlMO5L{s!x1K`>vUvV zl8GuKQafeho|pttJ4G8TgD|lUNJ6H(qR2y$A}m=KDMA(UiXsm~im>EfND-=#R}^_T zQiLVzAw{S{UQy%`ND-FY8!18+@`@tcB1KrTK2n4#<P}A>LyE9u1EdI5$SaCG5-Gxx z`yfTALS9kiBM1?e)L+G`f)mvN`=T^)6viVgsY8}2uPE|pqzFsukX0eCDDoJj2utda zRUxk^vOQ9SC3VQEkXIDh0V%?gI%HMID~c>cim;>(Srzh%B8!kBEU80Qg}kE33{r$8 zb;zoaR}}dqLWCuC@~YrObwERO0TE$5!jd{<nevJvk41{Gqz+jX@`@rmB1KqIhpY;D zMUlrLMOadYtO|KWk)4ntEU80Qg}kE3<B=jPsY6zUyrRexkRmLpLso^nqR7rj5th^; zt3qB;WP%W3Nu9hZI8lEkzXoQa3&tZXxgT1CkSVVyvMW-AB^x0{s6t**WH+P;OEyM| zP=&mr$nHoHmTZC)p$d6Lkv)(iEV(~Ygev3}MV^QhVaWrKB2*!-DDotv2un6aicp2T zqR5^|5teL*6rl=vMUm?eA}p!DidO|E>KxSxFC#=)Qb#3|6LlIgIZ+!flM}V4GC5J( zCX*AjGcq|*i<ilXTC_|~jIdtf-4yy8M%#p5I02$}ij#3AOzeXfgiKBp*%t;v6)brQ z2;xATDREE=6HkRe$mB$k&5<Bf!IGyTMH~!)XpzFi(;*NtIZ-746T_UXDp;}~2tp=R zGVw(u&PWY3IZ;WKRRv3)2{+Lavm{!jFtI-bqBTf@Ll7=`2n0eEOw>jzsY)j5h-7l2 zNFA9fSn@0kPMn=$0Ir0I#dtx;<ivpx2#GRVau5VUCMTW)fsiP(CC`OG$mGPq5D1Af zTXF~lLMA5;g+NG@*^<K`5HdNj4NiiPD6=IGg+R#U#NjAOXm7PsmOKvvAyZyaq;|@Z zBak9gA+IP>J7vl9ks?$fuP9PGWyuSWB2*!-C{jCR$&pAAs*qO{scp36Vc1tf6`Xh> zN)p;WZH6T;f<VZWR}`tuu;j%^5vq_^6sgUy<RwTEs*qO{sm-wDrAQH~kXIC`&9LMs zqzF~WD~i;1TJmu0E1?Qb9F3BMwojX3Nr@u0UMGswlAI_~vv#6LP0WcRHG31sV5Y=n zDK5vAaH7a7AP^?%jl?S<5Ka_%6$HXWy^(k|1j30TuYo|As5cU?g+Mq_<X8xViFzZk z1Onkik>el`ChCpEBXID96GgU#K$xhV(cWH%l7tgQUJrpVQ9Gjwc}0=qks>Uqol%9n zqR1PNA}pz$QH8vs$O%XhmekIuLS9kiM5G8yYTHyHuPCw|_LZ=t7O(BQ5hV#Hikt+2 zFj0$Fg}kE3$w(2F)Z$ekuPE{+qzFrD@v4wl6nQgJgeA3jRmdxfoPrc#No|)Z<P}98 ziG3w3sl{virlKTaqShyq6SV}HoTypK<U~zGCMRlkGC6S?W=7nSVmhvb&GuHjAY^jl zZ4ihVDQ4nISaKF#5JzEGh@(@Ocsm3_CMV8@K&Y&SvE&^Ph+|NWXrIEwIS>e$oOmY$ zq5~2{VG2vmg+M5&N+!;OK*;38yC4uMt6?m8Hw2<Ig(|qRGCA=cB#3)c=yWWp(~!xD z^N}DHq|i=TQtOk+iT5EvNR-)<nw?Be)cWp6nvlsQWpd&Ja1#qtXuX!y`ebtAgGdk$ zr6|IA5|-2wG9U<ThKY-iASB9cqGl(P6CXy3cqD~pZArDiOnF6-T9PHz;i`~V6d7ST zge7&asDcyK;m5*FXuXzHpURY16sgUyq&i*|oTvwcTJlls6k*B7@Pd%ZiMrjjecB95 zE=G#bU8XshsIk-@OJF2S)EF{3Q3;)j&ef7~%H+hyQJ>Jn+=R3vGC5KAh(wufOm&}3 zPJ9C65gl=s#BnJsxfBAS+d(E1m6XYe%a9_Lr+5-q!jck2u7E(8xDqdjPM8Ss6kZc1 z9uI;zA;r@W2q%hM1%WV8WmI-G1j5A5C`WWjQ3io<qR4Uxgo#~|Ak;%K1j0l)l}sQI zP87KY0%4-csO&Qk2osgivro@@CyI1sbsEp26!BaNOG*@}(=kyy^E?v73n`o^QtLHQ zZzR5mB;iDnTAGO>)wf!&6GghD*7p*|A=aj_q(qTguZi7omc%+Fh?i5CsKs}OfzXmn z)EkMfAW1k;q?Tr)X4wNJi4#*eQKW7U6SV|Y$SaD}9bn0mFb1Itc}0=#UeWq`B2DNH zu(A?Gs*g?7;$_M!igX>{3*!)KQ9VGctVEH$VI)k{;<bIc{Y}&uy36$3HSuJWAk;1z z+leAI2NQLUIu%uLqDT#6q9&w?=yC2uk=jlZ^+uxZ87GQ#-PZ?eB>JX!6+KH>QlxH& z^$-XrigZblO6tb4<ZCEFY)J7su7rti;019CCPbW?!o)Wr5UOw*M8d?45Qw)@yp1bi z;wHQxWOCx^C_%gf1JMt!2}`~Uf_N{*`?wM&et;K*OinxlC5SUqd<Y|9Ni9VtCvJv| z&<<_EYr>Kr;RW$=3Qf$-RwgHYf&}qtiqCK*EcrQJ5HdMYv-<)DLI>cMB9jxpgqzSI zYe|;WI%RUAX89G;gqu)*>?v_pinDPgtgL4FHBy9|kVutvW6CL$6LktARl&y8Y-Mty z_EdYU@@}>=IdLndPkfW&TU-fCeuo!?OiuhB0`Wr%w|$zOOiol{8<K=(ZDYzQlN0qu zNw*Ze(U_WpmDSX>PL(%N37MRzgf>BATT)J$oT!AhQ4_SJoH9942~9{7w4|IeIq^sA zC!vnlqsNjzK_Fyu;?EEWJuvhDvE(lh2$`HX0QUu<XP|rb6+<9oa^kNjN$BR)tZhuq zQYI(<h7_U4xqFNc#CU{EPSjGg1ow;|gcKo@6ZNdq#I&6@TRoX&a-tsN+CG)Hq@L|E zIq@7!hS2tDJ1u!G1VSb!>hZ1Z)2uD2S<2+Z!6->+`?Q^w90Gxm$%$HumZ0slq&_la za^mkeOX80df8t75aywoSf2DBZ-yn&9Qv8c6Vab9Dcmc??6J8UptV|Uk5GD@A8i|S^ zh@DfIxC`D8yQYxI#9>Ggl^_x_IdM1)giI!$2Z9)p!i{-8NTM=I5>--I@&X9NZXgMn zOdJV;P@*afgozhIAa(~qsDg<XK_Haa0|vrG%~rEi1rskuicrF>^AZR|HIyQ%r?BLu z5QrKeiBWh>m{=18F&YFhCWVQY;SEs>2I6wOCQQ_r8tV!Ogo#(;1+gbmMC}wN*1;R1 zZVH)Ayb38|FNnm|cukn7iOA$8bPZfYJ){UN&60bAASB9cVtojNOxL0cVd7Z4AR53x zl;AaCqGq`d1Y#Tn!o=(Ff_Mr4lH+<@wHYSv3pdd)#eTRFCN{zgLMA6RhCoP^*^*5l z5HdM&e+Yy`nJsw$1VSb!HibY)l-ZKaAP_P+@jwWKM42sl5ClRdCpL#bNR-)<2SXra za$*YzghZJw*%AUFlM~0|m<Wk7Tk-}7giKCsg_1<;6gpQ+>ZoLL;vq;75@oiej!Gsc zwn2)JD6=JXR5Cg7P^1WnGFwtdC6f~mLyC|nvn6#@GCA>ZqzH*JTT(|QlM|0XijXL? zC3RFXIdKAxi;yU@C3TK6Ik7FqBig0Vxmr?3C6g1iGe;sxXpb#<6bRzz6f&Erosr3j z#~?vSl-ZKn8JV2e9w|bi%$A&p-63SsPMN5kk;#c2P?9K2QG_dD$qZf)GC6T6ewrYj zNTCXrR6-^vMkq<#h#3=;Qdsg>2!u>d><EFFj0B+ymQ+F}Cmx3saT8L6Dp*npnVi@O zDdJ|N2vxA85;8gQc%+CaND-=FNhM@*;t5C*T9P)!lAR$CGC8pe1VT$v1xqR+lM}ll zMQBN?U`Zupa$+~62rWq!EUAP{PV9~pp-oT)ODZ9g6MG;<Xi3@>OP&aUkjaTBK_Ijw zRj{NIGC8p)QiPVI3YJttCMWhniqMi&!IDbI<iy@c5!wV*u%r?)IZ+R%spvdnS_(^^ zjFN;*PSnHc79<E&u%r?)IZ+R%=|~Z(U`Zupa$+A$hPV|eLKQ5jgiKD<Gf$$-mejqW zr^sz6O_<mh;}J4BQ9UD3W=o!e6d{un)qN6Ww&bZu5i&VZA5(2%AWlnRNxhMHIz+<6 z8CVlBGetiLgo$V11tF6Yb@CErwxrrbCMUK+N#c+cnwT3?W1R^TVPb#0AXLtYM?)Yq zwmyL^sSi_`oT!A#Y8Xq(DU%c1U_3%5Cu)5n-8w~T3GP(RLP=s4PKCHVg-z&e2!u>d z8~}lsjRc_zmQ+F}Cl(_`+<_D^Cxs>N#2Z2;Ck{l4m<t1;3YJttCMOO;ikOEKp$e8% zLMA7kgA{QWQiLj4QVE%ycrH@J-AECtU`Zupa-ud~8(xYuVaa>&f{@9HgE1bV1CYs* zLm&_`IdLciLPw?wmQ+F}Ck{i3&;jTOEqO0yO338I;YblW09CN05;8gQJfsL6fGSv0 z37MQY0x3cVpbC~$LMA7kj})OJQw2*ZA(Ioe@!D`5p(W>IcL<rBcmc*E7QjH<m%@@G zArLY-@j?j1{YVfGq_E^dydh+A;zdXi55hpGf+dxZ$%z*uMLdKQu_%QlAI2L(CMRBk z6!8cQgeq8437MRDDN@9vND+^vu;gOAA!KsmD5QubFc7L>NhM@*qBdR|{y5TvC7-|x zLMA6Jg+S=YWU}Nk2!!@nr)1)C2!u9XCKI28Kxn75*CwujKxq49GI1pYLhIFznYcFn zMoF6>lZj6uMQ90Hw~0q!Uy1f94#$-+Q6EqGWOAQKb>JeNMrmSI3QMlW8=@>l0~iSt z^$nU#PTUhNqHYR(X=ce$C`Z(QNK{K<;w2CWnVhI{nzbvdB}gns6~fADLRW$yRLR5` z1fg%&-52Njs$Ji%J8>sWozNHO?pyT=5Qu^lGTWH?l3r!AX8vc^M_@9<&=fnP0%1v! zyMQ1nrZ7?DFeHgxArdBz1VNmiq6!4UM3EOjBq~E7OuPsLp$b(Y5GE>dAq>QB5C{`5 z20^I89uNo<l{gOuVs{9HiNiq<s!$06Vd6Cqh?*dXF?dawnBWC*S&GYXB}`OXs7=%n zCdzpg+{D!>OuQCvh`li$p*fhi1_DtZ0wJ@BDzg^^VjPTwiM*=`KBx%Y;U+!<g3!at zJ)}hHVdWlD&mu+WVdWlDBKe>q+(YU)5QH99?ja>o535VD9KvRMJyL|0<Q`JGS+()* zQKN^`At*((NnvFR@rD?kq6k;Q#3GDGi~&JBkJp4t>N~09AP^?%yQmIG5vpXOoG-vl zXlz$jCMT*~1|<ni%#s>ICMRA7H=%MG+me?<AY^jl6%Yt5-j%%)0wI$VRaWI*#99d( z^Ci3>WOCwFC`srvG;2$0mNGf<YNQD5kSbVG37MRzrDzGNU`Zupa^f`@kI=-lBuick zfso0GV<8aQK9#p*2?RnWC#tN<X*(^s7W+!b<iv3(NoX@PYfEaDGCA=&qzG+>Dp*np znVhJlXbGxdNhM@*;`JDhScl~hFQ>5NcnE|{PP_pE@d^^et0^ow0RkbD6W7B@yp}>0 zEUAP{PMnC6#0De@&DxT$gCJyb;*CfVZ@@sPf+dxZ$%$HumY@ojR6-^vPQrMEwolt> z$;l81nVfhN1VWpk@|L_A0wI$V-^AJoZJ#PwQVE%yI0YpMZHBhfk{eNykjaTtks`Di zs$fYaWOAaGq9v$;C6$oLiPJD1q3zRlTJjbMgiKDH4uQ~SsJta_g+R#U#J8{kgtku= zEUAP{PP`2z32lb9(~_E{OirAE6rs&f1xqR+lM}TREkPA5sf0{UoQd%WO-$Qq$ypEx znVhIixE%&!b_z?rjjbcJLo%Bvr%X<~17!%UR}-_OCL)s)=O9IBy{ceIC1i5qok$Vd zAyu%X5;8e)6V^y*V%jlFz5{`f$%$t}AhdldZ%OUUyD$*%r7-b*ydktCjcuaFlF5l5 zAVp|Ns^H4X<V4L@vs493Dj|~-i!dJX5dON6&`)!g)IWmLziib%DK_zRqzIXusH4(^ zw2hWjL&@aCvrv*y7dlZ(kjaTkNYv@rm^w0<oTz{9s(-YqfA(t0x#&D%UW&VLC7dYo zZU}^ldLywE0%77kctPBoVm_{f6Gbk7K$!R;c89nR1hE;f2@~%JK|GLRA+CfIMLr0D zF!3S0Ahw_s@lgsVigZg^gcPA2dKj+>OKKvIfFK@C;Y5*|n2C?UNi0sW1Xsd|A|Ho9 zn5YeZ0tBI@IZ>orik6^5Uy3wgNr@ueIyKv6a1)xfB|pYq5}%~_6j#DcXgN}ZX6?pQ zS(%(DQtLKR3C&uk<V2BfwkoGR)gD_?qDVK}Coz3uMT(WU5|)%G@+k;}iQ2xWK@h7_ zI8mgQW};@f8VN!boG4Pmn5d;FsY)hl42>zXi7KacYH3assR|})ENy}+I8mgAF;NrH zwyA;>MQRumH33aX6`Uwi!<eW?i#omx`%5@cWH|)FMBP<-V8jpzCyGoU5GLxusAt}1 zxK9Wtiu@b`VWMU^7o~_bDV!)$vo=u)J+Yrbl5nC(RWMNrt=BC@qDWP+B)5vtMD(C^ zqDVc~O;kB;pL>i;6zLwR+AeM17uY(&%1RXZB?Q7m%~Ffk<J^fNHER=<(Bk#1ccMsD zFi{CD$t^{qNL8@pv)EVSxfIXiN;vTa5X6fqOneD%h_xx!;YyhJGF}iOU%_j_#8>fx z5b4UUhd{iR;w$VcVM&o2AQG>qFj3?iAc?P$B1{yy6$If#jrk1(;@cFKd=sUJjVZo^ zNSG+{Er`VT5C{|B20^I84-g0wmDmIWu?+%Y;yWM+RrnDCVWJY6wVSQhsR}<KMOgA( zlqB9u@iPR%#9#1&cpoD1D_#>O{)QLC?<qcjfiUq8ki>@|h(Ga~FmXFx5E|Q!xfyO^ zONzf>BrK^nA3-EOPGRETa1oz?B>ur`!c9n|CT60h{wY$#zeo`#>W#$DU?5B^z~7e< zB0q;fn79)J;tLQ&1-vFqtcVxHmk<ce+C(jW9Sl1IyQDDjE4YcTQ*6bRaH7a>AP^?% zjl^#u5Ka{N9R$Key^;7m1j30Te}F)ks5cU~K_Hwc@<#}SiFzaPCkTWSMg9zdFi~$L z{sMt;qR3w%5GLx4#NQwgP89h&1j0nUk+>_4jBujJN)QMWb&h|a6!B*YCyLb3nW#4s zw<Ae7QKXK}M7@#t7gB^1Me68G)EkL^BSkn-q>j!+y^;72QiKyl>gY_=8;SoSML1EU zj?P5AkqDBhkd!D=M`y|Zys<=O92en4kvdlsb&l;YLt-b4M>tWWj?P5wX$80m?Uadn zQxO8Oa|$Pl)J~bGHxhS2l5nEP|LoLGw#g(Uw#RG2lK4M-k^LM0iFjfXP86w~GI3X= zh)O9c<4QPDWEBX6iAubRZ(E4<DV!)$6-=yxvm<sBP;xhw&59{m6<5NNN>oLX*c}4l zM3F3+Et^d+1?&Nlu%twhs$e4BmS75~h7{pMk*Z)K-NY1}1aUl$i*TYyRWMPD))J~? zJi>`0Yd|1OR6<Lr34w5;NL4UV2`!-(QiKyls)C71XbF2FML1EUDwwE*HlaIqhj5}u zRWMPD))H!CJi>`0>p&n(R6<Lr3xRN=NL4UV2`ynSqzEU9R0R{2&=Tq)ML1EUDwwE* zHla6mhj5}uRWPv{dljgjLJun^irgEMAxu=F29ksxR!$VD3MML16DdLuD<_In1rwFH z7553z2WuppC{h(n)EkNJ!FU@=5qhfV#<HYDk$o{9VWQqhRKqz@<S9rIChCnu*L@O2 zo{AJ<$<y$H&?k~UwoE)70wGam6Z=6RW@4>GEo?sFM3MDz(1eM4BT;SRM3JsdG!gya z;yypm#AFCfOv6}Ni6R?dGK7ix#MM}?!6b^*C$S|}MrBpOi6T|Wi6ZssZ=%+z@>;Kn zIu$KRCKLC>2@thY?1MEDP87K>1j0lm>L5upgg`h^q$-$L7j9y&6#F4XI8kIhm<SV< z*c$}V2r0seB2~deCF&zZG)9VWqDWORQHcgf5lxUHoG4NiOjKeYq=@~IBAh5v6-?Y0 zZbGNyHeRC0hA<K#iTV_@;RoO~;Y5*5ArK}ip(ASsfpDToRWMOUqzyk1DZ+^&_rpvH z6P0KLH*ru3CyG=B6P3`0H%F3iqDWORQ3-AM!AKEK6sZa(Dxo85ffV6Hk*Z*#jz~x5 zHeRC0M%W!9Ob9O;15Hx2#CU`gMYe)Kn7BU@!~rQ<Lm-?evMEf2iAppBK^%e<;Y5+D zVB&#r69=VegB0OJk<DQuOjP1v5X7NK5l$4T3MRIIn`oKhFr)}4ifjcFVWJYPK@f){ zML1EUDwuc(+yqaCa2qdCWE&U=ON!Ky9SVUkQKz6iJq!Y2qDXE0;SdNDwU^qNBOnka ziq!VCg+Q379nt#QK_E;NsZDqp0>5DjW$}XR(vptEYr;hRV%Q!Zumnh9C;J(JpGx{9 z+6f|I$)iw$I68&<)=poJ9RrbQpTd$7MY?a$^re`-4AhrqmV6JBA>L1+uQHt|(tQD` zvYMsJTe1UYM@ZC?Oq5gKQo0H88+Ah8rWc|LVM&Sl+WR>e2^00L`Z^E<zeFcY)SFj8 z5d0FIFi~$*_5}!piR<x#(6{OOrrSh)tFCX;WioLCQiQ%Rm&wF8ArSgb+<n8n5dxv_ z#AUMN+YksP+&A2BK_K*<xGGrk9SDRH{C1l#aT5eW--)Y&iElt4l+fP=n5b{KKY)SI zH^C<A8*Y8GU4*kFOjHM`P1H6f>U(N^6|G7pYK+e?9-%LoP1GBG%bdY@go*k>Szjb; z7!!3z>*3_?Y(1p(aEefpu%sSRdN|2sq8?IuI30@=VWJ*VdN|1xCIlBBRC+jd#B0Jt zJ*4z-k|~shiw`L+flsgO6HJd9ZM<$~OX>&g?bugB4=WS-eH3v-ib}W=CLV_|h_)bz zZfGvT#6EaI=sPKwlvCeD>ANXQYOGEuO{kI+MY^(@NEJ+mP<cyA6sb9wsIfG5JERFG ziaZhm;mT?=j)FiqQRLAO2osOT+6ay9%1RV@0*r(uHA|h&F(^qmQKV*Vq7vGn_DB&< z6sZa(Dxqz3OOYs26)dSGXd)dj9^pihg%Ai6RZiPi1c7j($P5I+L~WPGc4Z}s?2LUS zEU8&)@exWAP86wGo2Y~qe=Jgj6Gf_miArd_ZYdH)s)8lEVA@326df@h;Y5+gK_E=* zh6K?)MJEV^6Ga{mfiO{t9!L@=rf{N2RWMPrJP8Tn1e7G4D6%IEgo#S@0zq^}ig2Px zRWMNrt=BC@qDWP+q_#`j*9GGdP88V{0%4-cY4P145Ka`?9RgvZ6577rSS#T~k*Z*# zwo8lefs%w1MV^e3go#RM@h2ihI8mf3n5cx->y{!>q$*fa+okP03F8q?6xkC3VWP@u z@x34rP88W20%4*O+P*&60K$nPRl!7Umll6AN)k>Ksacz-gcjciDZ+^&Rl!6hv|hIq zi6T|OlG-j!q%X!JoG9`X2!x5J;stS93bzS*qaEstts^WcQKTxFsEKHOr=vXKM3I`9 ziArdF{g5J@C{h(nR6;v+22z9*MXG{{+7V6U6s(bOqR3Mr5GJaewom^=)5O!@B2G`C zoib5lX$k#cBAh5vW1E;wq&ss4QiKyls)C7Hv}WyQD^a8>Sn@vnlt?_BVkxeK6Gd*u z&wzx9+8K?h({Z9m^^_CUSo&wLP86wGo2U(!s0vOL=}u)4)<i5xu^3kZNqnP@|3mao zaTczGiD%;lAyZya<Nz26OBUk=p$d6Lkpp2QEI9}-2&Rd=qR4Y#APR_c@qY+a$SaB* z3?pI5A$UQkLS9kiP#6hI4#NvV74nKAhr>u%@;tmCRKbZOAQ0!LxByqek|XhgkjaS` zLLe?m;Y5)aLnKtm%1RWOH>o4jp<7a8Y6)7e6Gdtp-I%J7R}`tEb4iiv2q%ivtevPO zXfsUI8;QCtOuPhJMqHXgw}px7beWtu3JF4@%$6*MK*;38(GUoUG8cf$cDhVX90La- zQMZL9)#)-h@iL?ci85PKoi39TFGq@yD6=Ki=`uO-3Zw{$GFwvjicC(t5-H-U6j$R) zSn?XYAY^i)$ZKIB#-?z|5|D&UCMv1&PShdm$egJ4X(?_@ZJSI^R2i9^sH2i7v&~i= zAd?d{OPQRg#cN4U)NLS9W*hTNe0UT6Q=Ek>VdB|%K@3Pyj4NT{K)fIZr8oyy!o+j& zf{@9HgCP(@QmBF}E0YsdR^^7G0%6HvctObI#NiN#^HOMROKL2coT#!YHv$z1OP-Gx zgiKD<_G#NRwk0)|Oiol;mDA~1Qb#6}6UX5eAg)VsJ+6c$$KwTYLy8M9bHc=tctObI z#0f|c6I0xXD`Ck=ctL1vH|Asrgvx3dOJ0ca2$`IC6H<i6)Eq2%GXz3oyD_IgAXHYv zSn?u_N66&FsYnqTQ**H7Gzf&oc4OWGflyfuW66s#9wCzxrz1sZOwGZPw?ZH^wj1*{ z2!zUN7)xG)@d%lmI0Gp{V`>hToC$%@*lx^O5D1mkFqXU&;}J4B@phyLjj1_UayA4) zW4kf$fIy5wX<~E=OOC-CLMA89L5k3rnu8^Ek7#T+rtT4y)i9RSy&;nmb#G`)&B2m) zVlu?s6!UN;OuP#(2$`ICHv~eW%$6*LK*;38dms=JWwzwK5D1x^I3EHbQD#dnfI!IP z#QPu+5@ojJ{SXM5ocI6)LZZx;TnK@X$%zj_ATC2U5SOR0<U<e$nVhK8kSMbybqX>$ zaS=)q52ttpSHhBy;sqg-6CZ;>NR-)<iy;s)IdKUDLZZx;d>jHHlM|nSKuDC?l1m{F zGC6S>1VW<BmRt^jkjaTpLLel{Y{?Z62$`I?5(04r&XKq>g(aVYK*;1oorXl2EvZwG z$%$8C4C3k(Ph$welB@87kjaVHAVEl!*^;Y~B4l#nwMY>XWwvA)QiM!S9E%hoQD#e) zBSpyM#1f<ki85O<Mv9QhiQ|wWB+6{b1Svu$CtimXaea#MxDu9JgA^f?6LlIAWwxYF zK_(|YgObFvDW1cXu;lZ2LCEC97a$N4Wwzvt5D1x^_!0y{qRf_D3xSZyiR&N`5@ojJ z%Mb{eocIa^LZZx;d=&yAlM~lNASB9c$=4tdGC6Sr1mXsqAu%C^C0~a?$mB$whD4by zsZ)^2i4!pfabt=}xDu9}j2DDVPP_>MadV0(xDu9}iWh`TPMijTxFv<gwxq_A$%!hf za???Pu;i_HLCEC9+aM4#QfO>TYAl(YsIn?I6BP(c&cX{qCMVtwftZ~_V_Q;V$>c<p zRk=G*fw1HpydY$9;++tPxhXWZB{h~zPE=Wyn}-U7CGWxuLMA8P4S^_4p|LHgv1D?h z%BtKws6bfqUc4Y=a^idl#DWwW+maefCMT+_%H4+wgeC9C3qmF*>UPj=ps_8fv1D?h z%Br018B6LOk;#b<U^2wQ6c6G`Sn?sfAY^jlA_&C8DIUR<u;in7LCEC9#~=`kQ)p~U zYAl(YsIn@z1QiHNK8_cJOip|P0<koO#<rx!lF5lGt8&Xwfw1IqydY$9;*$`F6)7~f zB{h~zPE=WyTZsyUC7;3zLMA6Z4S`sdLStJ}W69)1l~uXbs6be<3@-?ooLCNlh*M~6 zOKL2coT#!Ym!JY+$u)RE$mGOlAP~={(AbvLSTZ?LWmWDuR3I$*JYEnoIZ?NRZUc>N zNsT3w6IE8_bkA5)_lQhc5pz0a<nU4WN1+9U?H=5{1Hivts!-5#(8;~Y9-Fe2!Rk-X z9s{qSMmM=#B@`StY~V=z59A6Kj(*%~wMVf%3XUB){DOg_hF>_c&)`vQb}cw{@Fk-L zUmh|Ive73msFkcO&cruYI<+HylFU%>TtOu6x(_<Xe?{Hki?ZCTHNE3e6FM-P<sLfX zjCjtgZNQc0;kFoe@sYKXK6joOpZ^AZ(Xj>iGxE`z$vgWDh%entuGl!vC0FmFJX}eZ z8&l9XZgJkx$ljRcKHktHZaVNdaJOW+h9$?x-`{v5xY=1Qw+E$pxE01VI-*wc%b0@r z-#(`x8yk1pUbT|PiZ+(l+?CuW<IY}CGkI-u{ql<sIt|>H#$CHpt>nptPnJKoo%_5q z@W1<9IS;pc9_|3+ZeO@2F1q=ZxNrZH@xG;TBL}?~KlI2`apCQ~@cszn3J30#M91A0 z|2(KC-ghx>-v=5eoi`p^-tF<;c;DB!P3JU71~l4QKKtap9o0@RUbVw^+KKBZ$hFhw zrF$mDU0;k_{>Gs~J9(}kVuIYNi7&@<+Z4hVWw{fs+z{6ua|p9puGbSA<73M92UnVh z+hW|dUVA3}hP@T<_Y8fJZTXamwUYTQH^p7olPflk<L2sxcJf?F*4OTi*W-2lxV533 z==)};_3?AP+JOu0L~gf!>*8sbN8my`k<0BtX|`UD3+*)UzPicW#Y^I*6S^WBn{V0N zy^@(%KNw%Uh+Jr=+UL|yUio5bJg);=HndY&QN5(z#`$rDAG(7J?c~P|?c}-8PM!<x z^xpD$@#n|wl{7i@c+?B+RPFcG@h&~8C!b!%+b6VB-TQxvFIoO)+@M!SaG{;{8`3iA z*7oZ7sp*}-g?8$`ym9i)mG{QY3Oi@p>C16DY^MqZ{F7^^ejnc)zuWA~c={4<M`$O{ z71;5UYd83txWd+4JCTb|+ZJEZhEJ1{tZ(ftzr>}NbJ?YNxGlzg-RkCe@@K!qzh6mT zWJj}h*yOnPieKZ^CFF{Y;~2Smp`AQelJzYf^JCnmb}M8<JJB~}^LO#VRgVN0+KJrw zc3b104?7lIXeV;HJt)oA%W<KdK5cbdym!|(;zJhX+UcckGviTTu8WVFoolC758WBp zxPEDT$UQwUMrfzAmd=W6Y<@o8x+>RBe%#Pbo(t{dIqnVq&3eNoWlN`3Opc%03GYKY zeZ2dm^1*8=B=0oIwbQ}xwTS1}{41_GKG#mqZG0)7`*3-@y!r{qhIYEE;iK`Lli!T5 z8PFx$PL*%mVLRcMUi`_mQ}yqM#xqx(8}}K@hjnNt&lN;WkUO#M1@SX0xNT9E8(9Cc zxcxuvnay&eZyp;DJb^7%nuptBT)l#!@d;H+;?7;@3+?pi1Lwx$pDc-g>p?EG6UWWf z3+?2&&`#uzJ^hOK$B&LeHnbDDN19&}f3t~O8QO{5S8tyeFE7Y_*pbWaL1-t>g?1X+ ze^^{;bBnmi7kyAKwzj)*`mlKVBlY6Cy~%~A(_@2%$5nP(U0$$=M-|#>=E`C5PaCSn z)$4JecLu_q=Ee=}<i`!|<hjsJ=iWZ3{LGoR#J6?tg<7GV-XB|D{>+dm@r?IR0vDc6 zzfavi{=DDy@w#Klg{RYVd)yg+U-f|akUjW88QSTVQzpgRKIs&n&@uO6chJ-wwiEv` z(|_BEKbx!^_+#ephAf-=*(t{rL`=}vb=XIl3r^>hqAb_=u2(Xj%{zwKEceICRhg=v zw+2_5hudOY%i*<>f48p8Z1|eK$c|=h|5{1APae;#{gqs?aU3^SFSL{AO0vFzO<u~( z9mgk8Xeat6jeR>a>vBGcLOYSGx&P;x;!-{(!qbUdZoQ@1dO0q%)3~ylNvC>8M1vmY z&m6J&ZoRT*Qd*@;boW{wYiOryZmp4=(&f77=XUgkc3RM_W^&=MQ=&F!^9Vyb`Ef%# zc`me*=R!Mua?H-j=~XMn>lf$RY1La*k`MQsUw+UVY@N_fH!rV|WKNBWnqSY`C$v+w z_p2wBcP)uFeZ-%qLOVVE8GdekDvCy2baM9T)MdsF+ljxK{I{L<Up6zIb^14%!$xwM zp`AQeV8>6c*?{*l_ddV}WR&IpnejrV{<nN0lw`TL7BA04ZTX>7nuptBT*XIb#!EXd z%RF!-eUTl_!rN!YT~{y3JXT1q*f@@xs~6hIb0t|{(caHwHoVpr+0ah(4H>f`v+jiq zxX@1IzT10CX6E;N%7%6#m)nEVY`q*8+G$|X%(zd-gQElX<uSzO`+0BFD{dd1_zRCK zv{TRJGvbLKT@cN`i(F`@sTF3%Racx4jXsmv&`y5b&`zEU?c}-8PSJHY#*K#VQg-T# z93woPW*1J4SD!Pn=$BSKz=d|I(_m&?;l+~7WvB7>3GH-igBfxBZHK7!R<>Per>e7O z#-Co_AUdIO?`%5_o3q1q3cn8KKJ3OHQ!`oc`6JQAn<A7B?c})vJAQIq7Csn#T$9HY zWx29t3!;9f9ms5!TY7bARC0F%aHV;;Eyi7UPR*pv+PkB}7SI>j(L^uROkS*VS5##& zxnkouZmwQvC(o5+eXq`%AJu5j?GEikU%l23M7tfvr(I|#a(}+{Q1oU$-U6YW$mRB+ zG+Qsng?2h~%bv-~x~ro@+wtee*nCr0)J}?;t%=tE*&bYIr)^F4O0MX=A)0j!xzJ9( z9$zQfe8Y3mho>+b+R2X_+R1aFoje!XX=%I0NtKq9GRMwkz0gi)eAFlz)vh3#`yj^+ z?X-H@KFP2)=S9;y@)IPq)1J@%9hV*RZS>R={Ea-cQ)!RN$*2LZMXe9bWZUVM(jB%_ zr2_uRwbPpWX2!)I%#W^ZR)o@_ojg|%F+pzUyYG&^8*mtWQI@;%;W^Qe`?$oCEO*hR zv!a{7tp~0&54Xj*OMjjjKUi;8wDo)XB0HKzD`v%QkC+*4{e@hyaU3^SFSL{AO0vGm zQ|^fNozxiF&`$KddBD7AuaXwvLOYRL{z_@|(F43KLOYSm?Lld_UXBaxbVk3q@j3rK z8eQ}Zzl?~@H~#j!;{Kx^kB0PMdxm!EdFp*}&3#rypS9!%Z)m42bxY&AOO{4W$1xk) z$&VY_$#bEdJQv!j`58%k|J+tl?PaVN+UdE^pN^Mp?iD?<3+EErY5xZwiSHXZA?mjm z=MviK%u46SFK>D#dg)2FSZJrh={Lk<rZ0;MHh0Lj)8hMg*iPY#tXw<sb9r9dE^*bC z{ZKmhvr~>Mu;Zuil*fC;R}bdHHOg|sZ$Bgc=^=iYlw`SUs+<$o|LJgWrFpn5#tp%D zI0YA-8-Mc~eUTl_v-4{vjkXPqf2zo>C^nAc=IVuZ@?1&Q*L7q6_@Sx1<3c;px9t8? z;srOH04}r>xov$<ibp=epE*K1k;|>OG+Qsng?5@evu5)Ab34c1m7I=jY`))*tC?K$ z&b#H`A5Jc`)82>INbWeKcKOUcXMhXs^viBFlOH-hU0&9lTxcghZfGaZg?92>Xs6*- z%j0I1HpFeO;g9yAolYIQDegSBES|QKzZQgc+CHx!Svc<Yc<TiIFcaFT@4_ZY)3eSg zzhom@DYVn4TN@<pZv3l!)tJ+=?eyBiJ8Y*a1^kn1Cw`}q)O<6pemg%~Lpyn{z>c5X zzP&cZV_#$IL|N{EjvvIo)!`GXB+D(i>Z5qyvzvh{&BJXmZcFz)lZ9<Qjw_r)Ut~w~ z^5|O0@}ED6TVF`7*f@@xs~6hIb0t~d?E^oIAN_+LY@wa#J8|v1@xmW?w}y5iH=^;| z@g?>6%XDZba=ASy&DP6tp`F^btebp!^V9L!oq8Y}o9~G2b(0=T9*>W>gj{H+@4D=r zJlk+q+^HU0Hnh`#>-I{z-|=u<X%&B73GL*^4ejK)&`zEU?NqzT?Qw@Q_DMcl+Zpvj zJ8ge-Mg0E5wUY+5PXHI%Y5A)^#24&cF{%H3Cvc&i)*R3}8F%fZxYHrbhIT5Q-y~Vp z?9q7m`(3l`^!wvGY^U7{_$Sv+1I})r{Iqppyy#*+bwWFNuE36;T+f3aiT7E=-;$y% z_s%|#$G82!Crn9}`{b16@l!_~1g<m>x5c=Z>a<UWc6c)WwurvSj^>WDk4e71dSzUE z61igIIBu?9XeZB=WPLBSe<JSoW*cNfJJC0G!DDf!b$qCYb|N=#`=YqoPu$+nPULcX zP@1im<3c-KR#cd*t28wpzaLv7HeaV#3zNfpj*nM&BNy7~%pRGf+qYfgD>vtUvzynv zC>d0ARs8#OwpeH<KW=64_-D^<E}@+~7usoj&mZDSC)ZDo7{tG&2<>#)(#pyB8>%I1 z#&!W0+NsZ(`zLD--x?oUgRMgz|F1@R_e!?4ZV)F6`98E$rA3{S-gjOaUwU2lY&+Fk zxx;p<%6k84r%x^&k~E#(E`GELADW?^JXa7gLGFV+GVy->bKg6W+xBCZc-B4q(XS-y z+huU?c=cEOro1!{x5c=@nITE1d42FLD1DI~&2di+PU^Mn7oWN_TcX%Fj*+Vu+R1Yz zS>J{>-QyE);FBn{6McmhI>nu@?g%cl6S*rEcZh2)=m9RY6S>?TlxFMYxX?~FA3r4N zamyFwb1vdu#pWBj-;m_?zn?6>Xf(OdPSu7FPX6BY`m#>f^8+wEofiE&IB7Qe_VVbS z)4+vx^5cef@?2;q&xLmS^Z8cE*>6-y8hyzRvCvMZ)h$eFb^kH`?RB<nXs6aE^-b;` z`&j%!HU35!+G)gFmn1Xy*dz19Pvk;74IVWz**t7g`GD=YFA9z--(fr1-}e2do%p%@ zQ|)@uE}Q({+2yzbJAV4w&#oSgsmTw;D9auA#4gddr}DRpk}TKkx<50u?>-b<X&!Ei zaW|b`D;co#x6G#b^hI_w^M=(*?ppLiX8mL2ijCvAxq6|UJXezSbsk+YT5t@XM4_GN zdvE@3(Orjj0vFne+}*#_jE42&(<HPLx!ih7v-NUZXs1r~YbK4$PmQ{?<q^c@d+_cW z$@3qMh~7PxKd*##+M{;$r01rY(F3E%g?8%Iy+(4yPFF@pyu@s1CqHgzC(ng;@?2=A zbzkh7bot@s^135AMrfxI6?RYd8rQ3Q`BXj?Lp%NPb<JdtZ<=S;c3_KzcG~r}YRQu= zr$zJUvK2!+)oEKZd3V%+=&R<ZWS>sO&+V|C_9)<=+=ty=(}pL5n^uliHsQ3w)5&uM zcKqbd=>2cz;QoAQMp^E#iCZ)G+{524O0wK;^WV+9_*E-#rFpn5#=SRXcyd;gw=x%Q zqc5_fd1vDA<nOoFX6EnQ8eFk)95+`lw3Fvbvc5~Ievvu-2LAnAXeavS4ErT>^3@Tz z&`#uP?ph(*X8}JXLOYSm?Lld_UXBaxRD0{N<d9!Zh~BinI*rZOVBWCg^AGz+2Oq#A z4DHl%<j~~6dACG&UCrYP?X+yru;ipwBcdwbkqhnQ#|`b|xzJ9Y3+*(#dEey8c@yJ* z4(GU`o$5c)KUp>^6Tee|Po2<C<Ng_ve1Gcx<qh`b4>O^iE?a(1vR|i1qj5X)mJ023 z=zBwx=UZG6E&jV#ww+4W?XaDy74T24o%o%`vtO-=_UYLXr9(S;uE36;+^|Ju(aksV zxS}lg;fj^f&aWQCY?ga-?6T<Ky8D7F&BJXmuFLS6N#9qNM(@?9FS4T<`$5fQ!|qQ+ zi<^-vHjd-w>V<alTuIjV-5o2Ur<XKEHnbCcM;*E<TDFiMsG*(6)ql4<8v7b=fzVFm za(hskt(W6MI~9-FGdZUE8_{_q`K3y1z8)=VC({ORiu&!#Cv<41gYYB!Pse^4z22X{ zWrlV-{GQrL+imYfPY-7{w38n<w3FvTJ9#d&)0dYtO%_esn5k8tzZ!*hdg8<bk~%LP z7)?Haa|!J<{-TCSjd)TNJ;fhLLOTtd{6{?Eqk>~Qwc=btJB@5nDfuV!Su|&1lx?Sl z8+O=E)eHD1*G^S0>XHnezA(D53V$XF?c})vJAQIi`YedHbmUZ{EH}3J?&!1|d0Zt~ zZuEh7M%TW!Ke*C7+!o{hzO_rzwauJpm$&JQ>}U@As!Q_vGq*<<eL=3+IF6gE7uv~l zC0XCJWABQpozJZe?L^-@o9>A!pOgC+1>~L{cVG1SWInM%JCV!nL20&LjtlK{bN{YM zhrZ=egMCgwHa1`TJGv(A8@>=dUx$CQAKK~Gdfk%76*fm(_9GYCX~C+l$@cy)M>TF` zHnfu;H?))ILOXdbw9~F9_DtSBzgqdW<*XOlX=YjP<cp7+X7;?T6S&Y$ulMSmd^xgh z)PF-qaG{+x-`Xx&bA7?FOHQUQv{RLaQS!p+o1!*#bN`~?#kY6ZPBjYnC)ZBfm$y%9 z>@_c5wUH11&`zE!u;V9p{wepwt*Ym~C?NN1=lkOYefhIaN!C{|?xA?yTs|dA^Ke^? zyX?~TNyTA{;)40~MRqjXUpyw+gs<JMe4Jcy;4nt6UT7zdo8wBdzR!m|5TAJzKPW>x z(KmPf{P>hZa$gjXd#YJ!yx(cu-q23ua(hskt(W6MI~7$gO0L>_e0=B-{`?r5@1N(3 zlKXcb6CXT@Txh4^tD>a1OZ)hhD*Vt1?es&3OmffU;c=gJ{LtAM!2gpmH*RPr&xLmK z+yRz7cfxOR(!Wmf^(&q6KD5)`k5o<S7F9_Wf5|ou?X<LE)1>n&o8z+4Y@N_f^}akQ zIriU*ap!7m#n4WLbvh@b3i`(nf1djn1z&!!!*;64b^NEDx}P;XzIx6D@ql~zTS#ap z&lN;WkUL_pG4cBMdcYTDxh{W=jXO7Hi<M-#)<=$yFBpC}xY9h_7UK>WG%TKd_4xSI z5%fiNG_AG{j@LB5A+B~2xnkouZmwQvC(o5+eYN);7yq+!?rTi?W>m#5=i9lx;lqyH zYb!5}*X++9O+!18%k4pFwqA}4?bN9E(75Z7ZQ{50<ZoxO`I<j51ixH2h#QUNuQH*X zj@o^2yzGIM<(IroUudU^Ck=^rxo?m7vJ<$^p`HA=p`APz+R1aFoxWPtt^A82GvcY| z^Jm`BPCaKYFTZ>2^!TBF`14d~r^CKz9JgIFG5+RUa-p5BduCp|{-Boe&#m~|XlSRO z8{8B(z2e09@^f=vW7ha|hwW6WfPZpNr^big9Ix5_Q#|%Wwn=Cw&lTA5lWTa)@9_^4 z_#qKxxrHtNj)%T{7_(XKoyQB3skILTSDJ_0V%*eAZi@eSzaaUvE`5<5%`P)0#Y>Oh zDVe_yxnkouZmwQvC(o5+eY3m&6E|GU58m)}qVJ@of5!D5;Lk~+oyeVE^|$!rS94!u zlFRKuX|`UD3+>eR=IQasBR_~s&f;Fh<~z0DZSfh0Zj4{*M=rF}o@-~vlQ%vczc(iL zbXqxOM*QoF_3_l}`QvYBCqHgzC(rE;FaF=*y7`56nt0`;!oS8>PNp{L3{Ok*-7#%Y z`Nk@hldo6io=*3_azI>jRmJ4GhU7v!{q?}h@fDrc#cdwq`_N8@b$cwXcKVk1xb5At zKRdPgdWY?_C+GK{cIsPiNYehXR`L9Q*}b8iJXa7gLGGs(?c&-;^8p!Uxk@#o_@-<5 zVN#Oi8eHEce*AeZu{002#kh|@ADqm6s$1OURr(@3nse}d&797?;^-rC#l~^mT)ogv zo-4`vzBs94+;LD_WJ5dA*QZhYxI;faJwrQ@oA&DA@vh_ev*PS*Hn#_*dAQI{XWcj? zDck&E`RB*+x3k!M|I8YatnKr7`OwbfLOVTt?T}>e^KU78<5b@L;pueYoFU1tuijSv z&Lup)&`z97ZrspLp4%PXu=hD%Xs3HS9g@uYx>C~Y1-2~r3(azPQF6p#-^Cv<<_GE# z#x+{eH#upqMe)L|{4fsfbn{ggCymCn%Cvl=2e`DIreBbJc=bi)t={RGZKu<J*kL=> z=D7c9r~9s)6}Q^0PIP@UE<Lo9=L#Yw$c>(|d-T(Q+}D`o1}>}+jkquOH72<^=l`6U z{w<#prP*wb+hSbDD`v%IJN=aT^LzRtJDRnlX2p{(`94$SS8~P1`Ff$9JXezSjXSR( zYBGtf9omV$I(Jlx_9^KIF0>Q5cfPI`ef|KqGPD!9+#Zx>>*cu6PM1ABBd+~rk7)M& zy!B%9-O+qTeA$r$qOlk7!!xu~`)hBFPo6M2y8J^Pb!eyKUb-#r*LOs;>;+~+JNa=# zJ9#d&ljlM^ZM$h|JiqJQq8Sr7ZfK{H9=FBYsvnuz=W9LzLpvRE{Oov-YO6E5)g%|% z>BMfg#)GGv8AS^?m(WhTZ=Vr=Jmi>Y!aIGk?R5FCJ8Y*q?2Z4l(?>0bC;v`;Ju~z? zPAjyN=L+oj$xWM?;A_WD@I_f}=(<NTJ-^~_P9<3`^TpiEm_u8DE6u}gF)luEcyi*f z*_nNgrZ2LiIdSjd$&*c{WV-esS8N=|&D9I-<hhcp?}45VW_EprKX-+8qHq1fPi6|9 z<!_^*oyeWm>-o&ut^AM(?L;oO2c_A1IWDx*RQS&8c|bIvIol)-bFMQyIlc1H(Qk`* zT%nzgnLI3MQT@v3Mf>V7w9|lphb4dR*ExD|9QQf2lOH#<ljlM^c`mfmj01Wn)27Uf z<Ix;9w9|tv&Pa~y(LY{tLJx4Eoi4`{|CVi2$|s(~U$sIzHN5-Wq{q*9MHh7E6DzdS zvgX5*=ewK{jXeIOY&*^VYlrPrw}5|gKRb>5envcD^NOhV9rok2{V!QOS766a?%;ct zMr&TTADy#Y>7$QDN7rkHX_aKTS)&(4#l`i(mFD5L7`M3V%(zp7MbXMZ^hI_wpBy|Z ze&fi8qQ%3=6&uHKbM-<yd9EbuTRiR2=!fl1kPYob-=EDMkG}qq+a218-23a7MN8}R zA8dqnBA45P(rmpP7uxC5*XG1$Z+kXc{_8Qw#^yWfrMdBs54{-OKb$|Gg?1YK<h}8+ zf4v@kV*gMiw9{Vo?~3=YwJy458ndCD{J5c=JQv!@bD^ESZu3(7-LSsV^{x2H5ZdXc zx@+Rr+b)l$T*bMBcDioG;&}B@cSbWO^Qj%$>6O-l;)+LZiiWq&{d=cAcU%`Ab>`Zr zR-dA5JH-{A*wOzmYOezR$+goF>$)U`({79A&f?t~o=%=Cu;VB9QLkyy?yqtBQI<RH z?8(viI<1+_awj&O5IuAjkF_)px5c=#zwDAc-0Fs?-MREdb~JU`bWIM6uZtFqB3Eo2 z$IaCX?c}+VtZ!&$Qq=yBgOLsGMBkFPZjRdiz^x7KMDDh+w?zN$#oH&e6S>?TlxFMY zxX@0|H|myT20a*U{IV0WvH6Nix+V91u{fIeJAbqf?ex#k?#XwJUyMFJfxggAm7eaF ze6xL7wBmaHNF3V9j~m*_bD^C)7uspT!0t)G`WfZd7qMPwrzQ8Fl)QY`6CDoUmvag2 z)a0d}$?|urMvc$rU)_gxs!-+Vr2B*4L^a;;2rfLG{=Vbbq~f$^qW$hYKHE-PD(|qJ z>J{)$uAQ3RIwo3*|0T=Z|NJjmJoo<*cGgi*J@4aR0hJJ?L=>>FyBl^!Q4AE{>RYha zdW+p%D`0nmsJM1_2h7;r-D`JY_ivtgz8~h!?|2TJ;~&1xGc)(zdF?ZIXYaFXlG6{& zLsYW38!B0VC5lRxI71~1u%)7sWu2jtMQ3)|-`wwm$rkd7FB=4xhsdePXB|#<4*JOZ z_625<OmB-i>CBoIH(^jJuWqPhfjA;6St=STS%9?_l`MY@l`O#2HL#`irx@zgqxBF{ z|K~-%&<6L9T*mGEI)t>Cc#8j?0StA@cYPQ!XWh>8P6!tab$Zr*C>cKJC||G@78uk? z9~X7f8S11n)G7bSrzGs<EZ(3ID1kcNX?U5eIk1X1ZwKn2P74ZdAWdJ3!nY+#r$Vdm znEyTYo&Wp~QV8l)ynGq*#pfem<E<W0F=b0vr<`DuL8tncU1?2GXII5gXQwlhoPJ<Q zqRwuOq0SCi5m9HC*HC8%tc<9$3p3Q&>C7(sb1L9QT^+CRjeB4RoXDxU^}>x7uX~Am zZUknLOmB-i>CBoI=PT;$t{Lj=AnvTFv%6rZvjg@j>J(pKsIvp6u7NGBKgCcd|427_ zf9W<J@eN+(T*h@7<3{s`t>^XL0YjbI{&b_YF3sW3zJofblX;OFO$}bf!+n)b`naf* z&QK?vp-#@L%hHe8PO{VpBE~?SR&^*r8;>r;moA6Qi#k2>&qL3jp3HxAgg7`x@hc(z zSIDq>zj@JNN~c`4K9Qymp72|T)HY_3?CI*13;HwY<g>(uwii{v^9)tMIx`Vy0W7De z0?tg~mX4&clA;QDl%Wb3;(|pL@Cri}u+HqVZJui`H1=u~&w8>9^e3k#v5hO;8T~J} zrU0`@rng0%bY@M9a}ia*6%AFu5I0m*0hcyZ0R!7Hx;Fo2r~(G2u7NGBKgCd|hM8Tc zyMq%icM@LFT*lqM=uD@yy~oxx28KGhmvg2wOVnnizNw9Z`J0@n_17WhQ4F>_F+1tw zqE0$PopgpeeRU3`6MJkiCys?p0o3VNZ-2V6+uM**r^5w9or20|r)vV|vJb=5N5E}g zKPE$)$Ma!x;F#f`_#*oPzetCwBYDQF>WPB7{^{z3%bZ&5M(z(KfxA2LR)#t|otfnH z1G`e8CqHedvjg@#=U`sTP-h41+vL%_o1xB5XLi}2|GL`boa<<QC{*dR^-mayJu;F{ zBT6T|E$XB*)Ct&;$f5kZq0SCiMNwz>(NJdxtgooEOEJ{h0aMoib<!E?)NEEwvb#Ys z{`4E{M59hF_bBn7=*zD~1N%Rnu9(UDd^_0mGcZ+{ol>JIsZ!sCA1()qp-%c3sFTi6 zC!L{AJ`0wS&*e`rGDN+zn^-b|)L7-fgL|ocC$An>GGk|XzI~$7Y0TQI<|^OE@U1~` z%&1eFtG>j=YX~23S=HI~$(OE90idEGJ7pKI%<&yk%}#lsTf7z5nMqDRupC|Qn+F=| z?0~%$b#|`|b#}nc?cHzoHq_ba%r5)uyuyVp8pzCj?!#?7k*{>~CKo!a!BO+2E5Iz0 z>1|Obomtc3DhHh~FEiBHL0qKunt73-&JNf;QD@i1P-h2BT?1QMe~O__mFv0C=`m%< zk=$zE>3T62`uRmoGSj26IA+vo;Av<2`q5BwAp<bfslKlZU0Wi8bRMtvo%C^0C!L{A zIzycfhJGYF+V3WwH(~L_?DT%lZ_@UjjbwKQRzds|KY?{8BhB`!3n{Pw7%q1FfD>(9 z`9+P4hhgg#b*kmzOefXpWWM}C?K{mVoUTrRFor>=JN|K`e~VY<%7!{SotX%<0On}9 zWnOKlvjcW(?lE&7L!BM4eOq>#>lo_nbY_?R9Sn*i|7G57b|_y`oD%AkSSgM)Y`f1K zSrQoPq_;(#bcQ+s3(9rKeAQ5A2dviM3+D5NIy+#ea@oy^hB`Z7>KdR<Izyd$9E>Fe zP8K7}+||C*xRtSFc9t3>+77RN)M;E)EZKjn7jYU240Y-^CziY(5=LIsgtnNS^f6E; zouN)TL!BCK?Ls0GdXwAjl};HG`jQ>rqDakfxFJEEvQHgFo{uR>I&}tyI{jEVf*fox z+}x@K=#DydDG)<^`ffH4yszr)HkV9Sr`$pfqfW1TI@3L(&Tf#Q&Q5100xf{G5p{M? z40U$EE{Qt3wuU-8V5dgdNSvY0PG@%6-;PjcI=tu-@-Wd~oDz{4VZiOow8o94Bx*V^ zi)4CR)JbR7w7AEj&Mv#5&JN;AiaNV&hB`Z7*{-c6Hw<-lz|=LcrS+#6>J(sip%?P( zBMX<oehrs#y<57{N#dcE*;QZz1$F9h)QvWeJVoY}gFPnHY418$>gRKiv>pI$Q73&| z)JbQklg?15C#Id`iK{#PdJguJFgrbSI!)GRbfSBoz@8fFRIk}v;$G+hS>0CcJB{k> zP5X6hOIA;ZTXxiGQdl<HJ8&wA*rJ|yx?VnAo$`PihU_#hOB@+2>g>iC>g;r8lG6{& zU)0&XH`Lhyn<?t-x*F>2fK3#2cGC@Yb~>}m{t}a8Nr&U}NUfKC;*^M-8vExM;=M4Q z%z6yWBAMP6b<&wNEpC~pv&(C!vxB&oqRuXtq0SE2nKL%>$WUhoOkD$8T7Qb6PV4)P zCuiL@k*n)rn~=-6IrAov9)m@lT?v>j)QLJzA$u?EBM)D~rv<3fu@)0a;+pNGOG{{r zI_cx0PC7%KbcQ<RiGOMK+kKJTY6R+_PSII>$$;*sN$~<OF6wl+LPIkC%YM?PATZ2M z{TnVM1uw>t(*@Nw=C&-eNYl5oNsh(AY5PuJtEQ_{ULliFr{tOC=tWV<vfEI}qB9eL z7Qjl0N|vIAN)}+dMJ0>PP{{&}i%OPbhDsKl*=2v3Z<eFq`tRVk$`ui(N#xXgoLZiK ztg(&12?A!3OmB-i>CBoIw^CHHL>ektAg-;bWckNX$pUPIsATasRI&h5*T9z6pJJ%f z(M{#(6`z^>PB<)LT*kHERgNxPIe{;&pccC~N6XQb?_2TRuIk?D*uHYq=}8Q~7oiqA zeO%N@XQ-3TP^WF<BWTp2%OPD0g^FWAo&LQMPP<jD&rU2fY-5hAMN2tX=dlYQ4s|;2 z>_ff9e&ODB;eugynm99v9w~i+PZ`)SO{cshU7hlQ8;0yuPwcrY7Ik+1hB`Z)ndI~X z`w?-SPchWl0UImo>>Pd711i9#iaNVuhB`Z)*=2v;Ma6<}%FbuEfDdShoSH<jUsKKF z9{=1Bm_;(ZE$XB*Yg$}?QD?W;P-h2m#YLUnc0-*VuzI4-Zj_<U4w$+IwzU2fL!D~n zbfaGfC-d&R;eLh7xDTb=XpX)+cz?+-J9+nTqx9VZ?sF5~bzyeO66{8oe%!=!KLYKX z#6R)oTpJg4(i!TcGt{YTY6Uv$U@F`Byr$?2bt;v)G+p6PgWn*)Fgwi}pO;pw7ten< zfMTfA>ZA)~%~huZ+j7AD6zbF?`UA-`EtTi)s0yP<opg1|59eXf$xFPeDJrUfeGOH> zIx`Vy0qp*k#(cb?3K-a@c`f;GLlrQvjG_v-prHy_XLi|Nk((~G(7N_~+8g;9pq!eT z(XKSLMq6%r2n==7+oDc7L!E$KxZIlWFjN5pqoN9Ulc5S2*ho<YJk(GH3`|`E)JbQk z)8Z6oy3p**e|~|-;!vmGeVysfBahhE(ZEoraT79AKWi{+T%?6ysMCxPXS$>LF_zi_ z80w^tfja37b<!E?H1%3;`o+4;JbWc&K-6jc{Qw&9&(@I9Zy*DrP8~mIrxkLnWG|8+ z4t09_;vwlhegR*)3yv9eD(&-=EcqP6i+qnt%TAW?bae^>Hw-$}T-Ao2ol%MJGt}AX z%p|8D*f>#VSKLr%2P{$4*)22F*#TSI=^uW=P-mwzyX>#ytv0l8#R%T*L1}SHMCvrE zbz8b_Z$19t954$iruBz9>HS&L;s%L2yOxGJJBWLdA(S^W)Y$>cFY4@a8|v(UscT?M z>rXM%sX|~Ix~%tC<{-ZC?|(Way=+aLAD?4)eyV*Zzwp+ycDEq5#1pnGQK#uAT2uF) z+u5i$YTrp87j@DZ>ZCK&X_03aI<CwBGOdDoXP5XWn$`;oBwbIacXp3`x=`!a&iman zg^OcBo%Z&qO;4@g%`Z)Y^FW>2Hf}<1MNAXB=V}{sLX&iLDgZVabb=k%PTBoP7DJt# z&P;Opfvp#Hb|VdScEA!uo!v)6ogJ`jvER-9hB`Z)*=2tjmx{QMU*<uHWyL9>PTiNe z(C;n|<i<2$sFU6nb<!E?1Z=;kvs-7VvjY~s+?A{_)Y$>^`0Pn~8|v(UscV2b=?r!H zk;R3!tkRVHUIprKsom6@&UF6O|H!Nf>hU>e;!GDO%^*{10z;i_yPawA2mQ%xv9I&L z?4*x@I_V5`(i!UX`o$a4blp)B6|c52X9RyImF8?B%MQVUT0#61zgM)ziMFa5OO7;y zIMnI5YbM%yyvclS6sV0lJ>$-_b^IoClMT(&veW9Qbag5SV;FQY9kS5fqR#G+q0UZc zCL)`NxC~AHn9CdL>>%!jsIyyVsIvpMN7UI}Fx1)U%r5)ubXfG~dC%P7K}m5+L{3fP zqZT@;@C$SQbHFT;>1|Obomtc3@@08y?qI01gE-ptlex8_&JI|oOb(=wq0SDNx(2qi z{uD!<N{_VAknj+4brLKbT*gIqu+aU9jfrhBEHJp(d1SUw@$G@c?He%Esb7SJF1y#7 z94M)_G4*j#C!L{AIzyf6lR9+k>5MeIGko-1Li`gywVXYIdM7<5nIC~Rs8frPE$Jth zMP#Fk+IJe1*pe2UGl)%Cr?xTcXKzQNYNdu86lI`kU$xpcU7ZR^H`IqLuf(3qZBb{J z$53adGn1TtU{+CQH^We82kf(`v&(F#vjg@<)Y+9X)Y<9GF8g~U?j@F%*hwaP28vTB za%w6Z&rIvx-bH?A1ZI&;Z;LwV%$gSGoVc5$80zdGuCb`I+ij?`16EGd*~J*@?0~6j zU`y*yG1O_o0T=pjzy+~I36JA(8MmpdD}6iv3aQcx-gKi*#YVf)@sSTmQE%9bLY>Nu zaHS>3UngTHKwBsA&t%faMV)kpI_V5`8a`nISuoF+9&ZSHTc}gT5=Y3tFWl+s_OKa& zI_;hHlDs<enM7U%hS@1HCOf^dCzh0Tfu{^GJMEA5pg(>sA$yC|Ow;LIr*w5H4Ci6U zPQ8|yX^g0|8)&Gr)0v4t3t)vro!t{dogJ`+qRy_3q0SE298qT%XQ;E&nO*i*+-j!b zITw<wC)E=LLkgLx+n^-!Mm}YLI_YguC!L{Az&46HJ0C-x9k9=$&MvE=&JNghQD=AE zP-h2BT?5ofXQ)%$zl6TJv5#ae2G1CwPPL{HTA<`XQtcYNb3&aCmZ7xNxyvM97GS7T z$8Cf<wmC|k=Tpx+>0_WyIzydwhB`GpnT_t75k&L55HSYow5>t_^&Fp_?rN@{DEL^e zG<`ZYm9WwfhdPz69!4XJ2a)Lw;s2=9Xph=7zVATttb}?%#iM(=Iu!vo3_7)XQI3A_ zUBpiq>g;r8lG6_?Le$w+Gt}7uyAigMZ!y%_0lRNq%dZ>i>~v<A{mm{}o+c-);m_t3 z6sJVwEB)l<^7NjlmHRLrm_;(ZE$XB*Yg*hf(KgypX9sbkMV(y-L!BM4MWW8GgrUw3 zn7RhGwEh%Bo$k~wPivML&)sIh!og+S`}XCj@AXmqP9I>X)3c3Y|7==AUZo7&!=O%o z`j@Bn>H~PpxNyNRJL%)1PC7%KbcQ;8nG{YN%ndQ;oDLZVb;>=iKJB^sVM>%EFw9Of z`_!ZkTZ6d$4=~heXl`FRHR}`Zb_^Cu)G6dz0lI$55x(=Ls${9sH(i~If=vdUb{4Bc zzRmB+qYZU-Iy1@X2e!p`5WjAyvjcYI$7tTzP-h41Wu-Vi$WUjeGrR0Bu3#9s@F|v` z?gE<vL{81pgnH!WKe2pzM_?Ao^tPyz&a7#17Xrrc%o$<PnUKajMV(!SpO6t|q_Kvg z&hC_<&JOxh*T9w*rx@xKcDE++NGQdx6jB=n)lX8gr9n<UG9KQ=p-%QiA>>Z<7PjOk z#Gy`$yeYYx(T(Tr5G5Guq>qa_=?rz!+5csyyQ|37PghvrJh&G_okEfqkPnw#`2DGH zZ-+YNSrtPfzg6dn>(oX;uKzBW=d>Kho7I71MxB=B^(D<lTlo^P3G%;tr>Mc{>QoGD zGU&9S^gxmz>g*;P>g;r8lG6|DW7V(xhoR06*eFqF*WXZQ2keljvzu?Iv(uSf_Sbp+ zAo6XJ>A*a%!s3)rrxTrqk?2CE1Kr($p-y^R)JbQk6R;kl&aRlD&JI`sQD;}cP-h3M zrl_-fW2mzOrmg|%q%+jX(`gWSV86|Kv<er;$E9`y8Vw?E4_)SmngK(ds#h6IlFa+~ zV);u0sFUlML1a$IIsRohyu(7B^f6E;ouN)TL!A~3dQDj0MLh9wsOS%MYVh$oX?Aui zKO!GAMx9a`Zz4StF7vZBAP%#W?fYr-+suv!*8Wl1sd+$g;<Nh?AGJ|!V-6Xau1>|l zCWB7f8?>QsHkRa@4Rv-pGs)=(wo=sD<u%mV0o&_Ac!HtM4%o?<x;({DXQwl}?C->g zHgsXLI=nrDOF`t+(9dn?klTdcUk}V8ncfz4(wQ|aZl0*Ki!jvLL0l$LXIIZqX9ujN zsI&7n)Y$=3*T9z6pJJ#}W!E<J+10l!dqKzuT*h5^*P32xcal{(3$K3E>EZm=wAt-q zY{mn%QSj()Yr5mpW){SNp-%d^sFTi6C!L{AzutDDU1km=TYW(h)QJUjp$-EJkfUqh zDNEF;-IvZZH1TC{5&3QpbqdQ~hxQEL&dWu^d0=)rJ+cX%bYmhvN7VN_*<#bxsRY<$ z(5cn^II=?2*-bFi+3CzArytmBQD^tnP-h41hN!daW2mzOHmm1H^E^YHozCpCznBMc zr1g<c=0-2oHs*jwaU?L`H}m|*Y8z8;i#q8HbprOQn~4-Q)Y$=>D(dX=8S3nS{qr&_ zd1<J#1E#J4>ZCK&X<W8Al6`1HvR^JRs8igjSQ7KT9T^^_bSjrImh{gtnRMB!HVU>R z#gaFLdyw!=YNJ3O19j3F>ZCK&sd0z4<Z#z<BsoCsJ56cTjjVn?h#bwR_MODOIe8Ww zPL>(Ikf-~KF(f5+kGZ!G?17<9BkIMGQNv!F4<@R|=lH~Qbt(xq8FZo+3!OdvqPef3 z&Q52j6R@Cp2h8^kb#}mhh&sC#hB`Z7w?v)YXhWTy&QK?(&KBy_bcy+Q(c<Eih<v4Y z>}{djI;}UC&H>CKncfz4(wQ|au2$nUW)DN19mI9qu*>XfsIvq1Qq<X9Hq_YxQ`f+j z)}Lai)6(V^T6d8@*`EQXkjuF1Vn6BFjuK>YVVFY9PJ7E(XvBF7S+z^uiZ`uqp$p4Y zA?*&R#ZDg=b<!E?q%+j1-kiGh<d2`E``S8UT+B}GA2p_aE3cB6V!$vv?QGnNeq1+| z^!f)f7G|f>@1yAF!n;`icc44!#2wnwRh9bg8?Zxtztgkn>FQMK|I?{_^H^dNb#~1R zb#^*45oiJ|RMgoWHq_Yx+binqY8dM5fNd3Zb{!0Lb~>}m{&xL{A%Q2?5x=&%#3>Ou zHBNppWZuH{q<a)Fi)4D+K7V1>G<I6l*?ln7*+E;M!duB}L!BM4&!Wz5m!ZxMn7RhG zwEh%Bo!*WfM>;zlA<OKr*TZGp!Rh14fnCSRtopF8gE~bXnM8gZzer{tt1KAaJI$#* zft>d}MSgdMwz$~o<DyPFL!ESnI(^7@%zSO+W76p)JQ#yI1vzCVM^o>SVGChg)agY1 zP~tND0=Y0B80xg->SFS7%zQFC5%$1Pr`3tG$<jxwNf|Hoz2eUE($%RnxM9dn^M0FY zq^Pr7YN)f*nMqDRupgq%&f8FD2duBCvzuh7vjf&u)Y)w@)Y<9GF8d3(Z>H07j3?D1 z^NUj=a%vvUHPf*JCla49U>3>rwy2ZNtZ8wvqRx&Q>g*uyl&G_-Zm6>Zwn5a{W%N^Z zcEHp%u%-2<80z%kETK*AuOQ?z>?d&<x6YH&Gq2W>Y<p@7hB{TcNa>4f$)tZ7V5rmZ zU`kKD-9(ytg$jl`>EohKIzydwhB|$X@}W0N=A!eb!dHHwPKQ6|p<NES(dfIN3F_3Z zXIa|O;V!Aa58_a#_(8R4bo>YN@#~PqP^Y+hq4e{(2ISlx_5Dso7N)CH8L-Kq(|~s4 zxkK23kffyUqHBCsTxTXZ{h#xV=KTtLnrl_Dh&Uoy@s2%s)Wmk?Eq1uQv`Y5pV=JED zcc%GxUr4UDzc9OGcV<NJ2h}6ZxduTTky8^(oAcj`Mwx331!j><?+<m-nN`Le$QI3~ zh4eLFx(*3^f@Dw559CeyRxux&44>l9kgVFFF}(V^pCLW|>nK=)WcvBq{=!hFIy;7N z&yeco#A(r@EthfsE*i-TcVB4!5z|F5)M?50u{_>df?RC^40UoTIf+lc_0rrm4%(tl z`naf*&QK?vp-#@99QeV+<1G5jf1*Fssol}S+@<CUmfE1RV5rmYJac%tN73f?-{E{w zr>1=t@rtLOnX9D2@u5yvN5=B+QOUuVR&`6;C}_MiU7gCB;7@(XGGO*i=JR?t`(D3? z==%S3(wIq3e<#~MmbHHZD=|#zRHjHg8#cN#+qqKdv}tT_wzhLYHtZ~zZ<B3xW|wT) zfIKW~LCWfEhBzXp=2(MztWBnJtixeo7RmIssFTjDGOpLPX{^ZLX6!<Y(kZCx8rE&< zSQbBB>C`jqFyq!G?DY|YPTKj}WPkc~L7n!-&SiNDmt&8McNNFSW!%7%%UQoo(^IMh zgC?j`nfaGkgZab6PYVG<ofh_a$F6pmzu%<>wEaJwv~mAWCyo7|P8vg<TD6Qd-)Mi3 zH5;LH8Zr1zNP+zqSi#ClryE^-x%aeL?81&tVqDaz{g~R^@m)UlItv^N>J%B3!upiu zthuFonofOIr>j#rA(K(3Byp&nS1x8HTeKHlqfR<A$?1>!bb^(xKZ@<21fN0^$+{NX z$r`UO$9}UgXe-&T)a7j0q(>>WKEmf!w!bjDWD_cnVO9HQWlL^C9FbFV+&qW<9P}q8 z<`poDWO{$7lg_L%uFT>stnbWx>}yh}Xp7ltM^4VRc8OxUm%;5XW~U5`&$6}^Ca~65 zU^_8Ew$;zq_7{daWnI6J{cP&Y+E-~S+Hx7U<?dS6%vvBNB&>~Ks8fN2E9^zgVDqfe zz)+{i`fpjFf1!}<^`I^4q>qa_=?rz!8S3;fw5<7Mw_R-H{8pkr%uc!96bb1y?EvfF zsHI?-ovyh1@cUZ_u(gNaC51Zed{~9=p87haXI?lK)M;7o6n4J)D%P@>B~7Op8`IUP zyb1nPcIx{}>`a$2nJ=z~tb;n~%p|A(!o<=1?5bMkwxLR={DlYd;T{vsP2MS;j$iA} zzYSY!9y1Ykr){#W&g_!yOKQ&t9v*96ITPZDoSG3WyYS|R63jPe0kcS^w?&<FW|eUb zcK74S?`E0{y-+%xi5|vpf9+<zo}hFZ_{GYH-YjEY)=%lApRY~!r!&+kWY$2Q6cugW zFdsDGGVbn+p}cCQ4d&UCTMLFdMf%0^hKGxjiY<VlPR(P+@vh}Ekl{0-E$XC?fja37 zb<!E?RQswI|8sN)JAGg2)aFAuzHZAj7S>wnWJ;LM`@EiH-sP-x>i23k-=6!sIg=Y4 z3+hxf$jYxq&kL!uvt61_ySJySQw1TDQKwJEXY&-xV>8dC?wxdIlGFe5-^sk;8b|W( zP&;u5M6!RLj^PX1<RE=Usl~2w_5S>0U=eaNHz;P4aXPb0w%XQ{PZ{e?oGU;akyA7A zaUV|F<|ff4fmtNe+oDc7v&y)LexrG%3;tx)FtyliSUHaGo9IsB@~Xw|+N7zx|LtGq zv#&ddF%o23{d{eIVW?BfM^kz49<Jo%pDv;;mvNR1)A^NU#Yov(u;`#p?Y(F5p6$kx zpf<ozr=Evr^DPCMleS-=E$XC?i#q8Hb<!E?^ebm0?*7q>t(~eCy9-X;_<y@|rxgFv zNsNKn>2mUXo^_``dE8gsI}PYJpZBQHoNVg~$AUUd%Q=hRuYAn>IIp^Qy1qAEohq8( zPi3b<%ct_se6#uG`e@NLW+$DQ<n$-68OME-E}Gj%fYC&<TEj>1+#kM~2Rp(Ro>j6t z%X{*U+uX_W#i4@P{=)2%Egte8zkK6^Ieat35ji!tr+4G|8#<AQ^}sBW>HVQjI<v~S zOLK<sM%^=zzQ4moTU_iChsW^w&7PR2u7=O1aIvepWCA}?@`U-1yaz;`^z*gJ{&a>q zt#TgEY1;?pymR2*gv+?5BPZ}1?LA1+AechbsoAV4yi{UOQquz%>J)cl8n2bRI>|K! z+B%7UCX+q}>ZCK&NoNIQ+lHU3@bJK<Y@`c}Q9`nZEt>NYvmT}77z!^H)G6-9Tz<~q zBz{E-Zf5GrxX||TeBkh^WMT$57S!p&&dI#?huP+e+q<M?C)0s+b*cpCVbE#pk0pHW zrp_cb4_J;m>C8l+MZGBtxbyKrq}Uxuq(rh?J7@FgCS%F<EwEi@l`Q|kDLm}RR5G?( zO~Gt`VRp&Zhfm{s>c^1axe!O>)MPq3mA_~_fkegtvq+}*hdSxZD&u}VoXP!Wjweyu z;gfyTspPtNUZky+OsxZ#40U?hW)W}d)Q^<T0QU{3lYYK7*`Ll(CyVoPJ|)u-lJcd4 zXv<~Xn^DVn5w9sEatBNo>g3mJ32#1UA9-{OZXi&nf-e^H=O306pZCxfb<)Q`opgpe z=?rz+w=$l8T%6sU{{@VTIvv`vnCB~&VD2d2eWOk#-r4wo^%F?OzHq*%)6ssj`FW3( zB(f_U3+lA3$a3CiW;60MU*|NP@*Yc9r^+VyQ`xEQnib+(ObB_lr<>>+b<&whPXE$l zi+IrWf5^b$YO!;sbGYm7&Lp&nTI@n^PUf8#4I<lI!$f~J*;Z$E$sV4W%u7~lM;6In zEh2Ji3TK_d{U&uMwemt+i)4CR)JbPn8TZ6(7LTpijofdh7Q3D9^Lg*Htw@b0aG!)a z%`w^dO0R}wRuWuF)JZ>Io9s_#s8e~z6+EG7Q?hP;7txl>xah1ac$@tL$Z89`98srj zXP5K5sq4rJ8@&2ar}#e0`PTch$cJgr7Io6cK%I1kI_V5`8vcF?-?VLM@ZjMvF6va% z9?v_If@aTiodiRj-utcM31@qfKW=KVbD5FEpS+n%%6x&gs8cihN<OT9Y0`av*EF5T znRIokB4je^RBN3tuek0HiTJAC+3CzAr~klAH~#9aBMlCPg@Z`;bKOt2Yr8Z3J{PRF zO4ir*m~B6lh4!_>?X>ML%r4p9$F4k^qbq%wKUl;OIW_m1{AT+mxY2z-)vdVRAL^tt zt8Dvn-e;D4+=Y4%uPyq+>~!_J6JOsn6TQ+M6hobAZOY0+PC3wL<Kcb^b<)q*Ci~MF z>a^cv<{eYTi)bXg(z%S=Q?Vj1w=x^O@lM@}f1jFzKmC+n6q3PhGV0`*l98X@<x4ki zg0`rWJ_hQfGt^0Es8jo&D|n5~JIUInaPxsWHP4m6$Bj5idM<-;QK!3WAF|7foG5Py zs|seP%4Pl8sUT-+{{Y8=IvssnoWFJWNvdUNpQcmvrF3<wYJxwNor;w3<2AcD(9Z+F zXv|JJGs)=>>g2}Rm`t?U0eGbo$?|vp%1YF6qb0o>KwHVKI^1Q^&9c!gEn(N$_7`TC zY}16y+%z={t(*jLsM9T<FYKjXR@z`NFpHcny+71RXI2?^smFVksbv;==X027i#lDq z;K(hHo$0z~@UbiEG~-)V?$9P9{p|$Pk2>k+Ym@!y40U=~hw_^<-6;DCix`)2L#tQj zrTTl(++87SUze=)Ge15rtPpLP0#l7T-8r0zw`rY|HZKk@ThvJ(19j3F>ZCK&Dci4A z{K~hz<i{l#7j;T`IiKIpaE`3W51OD(*0zt>x*D13w-a!_sMCha{_N2qSL)ISjs<m! zEm4XWn`WX5M|MopX~K<kb*g59Kc!RRrB*z0$p`Y^#tx!u)JbP1IsN}MXv|IDevmVT zBSjpMtXXtTKKY6R4cb@_+Df**d?mj6Qzq(JFhnrhUzlC8MUBGwoo^1*(jDT6oQ7hF zl*i}ENH>K7vq+}*hdSxZD&uODGxL0J9I5Z(I-)J=bf|MZ-mRO7p6&{76;P*LlbUk- zif`m{TX?miPWt)UWPdtCowhZw@`&dq>RSh<kjuE|y9V>S1)S+s2I`<rwwTtue)d3G zvnWg<>eT0L1AZ>flb-DYZBZwE4Ae<ysFTi6r|5}$`Pokiq(ci(2X)#zXfyX;y@_m1 zgmF=)CzGo3%(qN*_8*m<=Krv>q4zUW=RR;OsMG$5y?Mf$*CcG4%1*2ArK?kQ6Z|Qi zPG#H9j(I!KijR~|Iy1@X&$DqMOUj*zre;<;&CfZ8mA&9f+ZR(h6<yne#hlMdi-*G^ zW|M7oW|u7Y!$cNV$em`H2ysMC&C<m&Y<!-qbV(;*7RmIssFTjDGA?}KK<0kmjc#*N zI<<c`jny3LOrPaYI%TP{jG2Es(HqT`PWt)UWPdtCo#OX7^26@#G`yA4>6+sQcCx)U z{d7v{^yl~v7B#&f-BL{H6cIC%6|L(>Qxla=`WUE_&QK?vp-y@FPv_4HpC*YPU|iIx zZmCf`#D1IfZK8DQ+NTL?_R@(S2!;g^vs03JWk}QU8R@?skY!P)y|3@Fh{74@?RQG2 z^N-WjsfLirsMCU8-`Jv!UNp8a+%{r%(wRw4|Lb9Qnd?DcI=MaEa}dd*5>lAsD1SO| zp<3*|x-4UN;_}dQ7tA8gCgXHwmuzP1JItqIAU)$xL>%hWa0zE4#^<Kq@1QN}q_;(# zbcQ-zY`BX(pB_MSj(|&s*~x9zSvDwNPWo*myj8&L)F#stR(o-F+I}rua?DQp`Jzrb zL!I)UD#@3|2hh!lut;#Jo%M7+o~um|J@ySW!R&N!(hs)tU?m!r8!`uGr>PsyvzR7D z>9K2SvD3#uopgpe=?ryR6Sav?ns<jR9S%yMPGxQ{<az6+lBdUDT+B{Kq8Bk!oG%?a z0<=S&#xJ}V+{VX`)})X^P^XgHefg@&p7eH^PHBtXyO-(e6l{V&m7QE0HQ@~-GSOE% zlukM`$>~2aH<b4t;!2wqfmbz=tZ#`5d|^XzpCl`4t&;7&T9DuD>P=^RQW0nS3$shs zxU`v@=4GQ}#KV#Q(`m`ca=h(&Px@GX4JzuS_lG*^40U?fsSK~!*@FhmhD?b%&FNl) zk9w4a&gu-0iJ?xb`_$!&B3$U8_HcPoC;fa;C!L{Axt5LKUsBv@=~^%isMD>;emp)X zJB`@{(~3Gh%Gi|e7*>oXyi+=L%}sdM&w+GaH)xBCojwNYq%+h>XQ<P?T8H?=U7Ja@ z&Y&mi^m*J)-mm3x60;Q4Mx8#rEy|aC%R)&eI2P1tUxV#zjkh-q84JgPI?b)zmAk|{ z()hhfC%@EmbqX=TpVH~ovMwxPY$h7|8@k5qq%)J8{>#0quv!yb>G3RTu{-RVfrXXL zMx%YzV)xj0SxWCB-ZVo{u;|Yw+v?0NSr5l*%-6$<er^kKM84AhY{|slFfUrQ8Ze7w zdRx><XI6~6|19NehzHH}QoXZVwLgI6zMF+MmER19I(1%Dn-%ZoLKn7Ii=BSHHrb!f zP^Z@4PqBV|z3ArdFkM{6jc&A)?U?3AXI=w6QKynay0aS|#c1XdYO(v;DGyuOGJy8l z25nI%eGJq|XQ-3TP^TV~$Mbo~x5<qcFfQs8UbP#4*YFjY9HADw45_nI!Wuc#gcfSC z^ZMMu{IF_f8c+vb0;to?cS~3nuS|4PmJVszsmj-Mb&}shZ_p|7RB+0z#~!ruN!XV_ zopffB)Bp9NZw+?ahZfqabQ(CeZ^-4rIqAa1N~iUcZ-u0G2&A8<fD$&@R%dp}u5Q1) zzj>}edj15&5jiyjhc^iMAlg=52FxOv-WGMznN`L`IL{7g8k38<_E7guEqeS2UQs*; zT_LMDP^UjtswBTT;7zCGfXka8+v?|Q`wK&z{5B3?2TJ6ozJ*~LxQy%T9LhXh3eaog z;nj~i<$4~GGHh1`I)W>m#yMsP$z8D!jhBlP>ZFg0I_V5`(i!Shw7-=%D)EDiodn~e zPGe)5@x~{dXy;E#r`#(un8yWq(!|2RFgwLAzHgo}%$+`}4w(&g>Qcy;MdkLS&u%K6 zqJF2Vlbp-{Pbc3<Ke{YPEp~ADikW1Sb)8SwxY00x*6>#MP97B|h4g!tmk#>^JJD7d z_v`b=kcSrwQ16E!g4zDU?2<(_d%BO0FF+j%m_;0sQ`5?~cSwoL1?ZXY(AFZE-XH3u zGpmeylCU!5cxpa6=1`bui;LZh8aYBHFU(DYoz%Tk@l7ttp5^`Nxjt}tl}_q>ZL&Z8 z8lX<svyNf)Yz67);V=zc#(m1uh~-KsP8(f@tb;mzxY0Oe>699D;z!6Fc<;3An{UX3 z^(ATXi_li-q{dY`DW-H%40VdHF@YzaaHRF#z__SW!P4#dl|JGNg8l`?aIv%X_b@M? z;70?ja4e|P`U<J$^>ch^vH7qfp-vf-0$K1>KYG2qTI{S&+td5i19=S$I{7blXVYeS z&=zl@Ys^kMGs)@So^gN5=xILm*BiBsdAvo=lyhZr(uz;vFs(AqVY7E|wfuqf`J)<w z+5W=plDWLNlH%MmfVM55vXj%IIw_f71<>n;ZA`sC)JbQkQ-#H6lE2l+ML+CPi(Tvb zaVdZ7zVy;_wT<~;*3}eKKX3XYOf7c$`JzrbL!Fv?uVFrZfwcWUFomd7*VGy8q-PLK z+6vQ!I=$%P#RmFSpc!9421K2*)f|!%n6D5$Y=gF_lRgIOq%+h>XQ)$3!AZQ_!Vje1 zSr`{}DnF<zPhOpYek!N3lS`FsAseQ8Qtt+8u^T^Thq=t}taN!Jwb*@H)SnIL?Lnvg zR`2X=uIcI|#uk6--U(iXNeu$&j?Q4TTI>`v$?5komrZ_KGaqHm;gwD#bGCjDUUsh_ z4JV<{R<c2t#)V`&Q<TP)uOgW3FU&64)Jm}_O-B@^S%yL!k(P%a%vJUMk)pJ9Ltqxk z^!`vMompjE=2bx<8($QnK3S<~i`i+w#Qec=vx4Z$dhpH@7rXeiYm%Ld<fTiu!Gksl zvaNm%Y=2>>)6WhQm}k{u)Vdc`<TB3Lvn88$q%^f<g{+M_)i~2CrD`uT9T)^R2B=e^ zxPl?EgUV5h7fdVaq>rnzle+dQJ1K@bc{QHJ`}kz0Bm~AqonCb9E1rMLCT>1pT+B`- z+6S0VwhyEU2Ote#c51%biG=0MNvql6STH*UEy&9X4GW}+1KXtCJ015(SEpJg_)|Is z4lc*?_0CB@l~6kA%p|A(&bh4YWUoNFro7V0J@rINX!iUxp_0;RZMm3~jBbVKB(u^< zXLi}2^H9pF6f8*lj8i&&t>wUO?<q*nw^TamZBZwkp-wBF?M#`NKZpj2A29fzPTP)s zNU3!w51mk6>Gb4~ADi({039tK14Nzl^F^I>hB|qt9APy&7No@|E1lTTb<Dp|aXR#2 zlo%IvO5ISEISr{!_nDMVZd-PzH2YqP{<sNkQ73&2)JbQklg?15Rn->o`i*~+BE^(W zQL|%tXjW&MW319C)3-Un=i^1z9;bBjxOu?b&LnPdCM%uhUYO24iA@!U>Pn|)zUk@| z3N{&Z$`mk_{~Ugu%+9FpopffB)9<@#9RHPSCmU9&d#6GhM)K9iUyz!u!^I`C%D6-K zdh>pTK9HH;h+wwAFuP>Wu3Gum-_J;32uwebuk;^<hw`Rf-jH0mfLSEd`$L^{hB`U9 z592JuYce`gZ4}s##&B+bO#YbEMnQ+66L`+}yQJ?Wb?>B~FY2T-)Tsws!236ONQl@u z{$F+)Q!#<F7pbIvbyzr1r?q9L^2kyibkk9IiDGsd+I}1_zTb(yJOph~Cw&amNoS~& z&QPcB<HWB+P3S;Mynt~rJ8gZK%<KO<k+>Fs1r@VXdFv?N_3R7sSbnyL*~xuc2tWAx z57|8xjs>&RwbpZarl03Y^UUhr$vH4xoobulPi3d;ucokE`MhZXxx0#soz6^h`Zwen z%vu%BLBF`F>~!9*5u10#pJvV<Dh|sk<C-NGV;L^yp`kTYcG8($#vQcJWUmJ2rcGm1 zc8ZOPX2a^_p{bE7JLzpvC!L{Ad-sJh+oJ$l_&aEfi(Sx?4s84Aob<7e%1({DT3G{U zU-4}wYO&ML7j@DZ>Xg~(1IyezH~rL7WvA~gZ?aXS0R6p3Wv4B5X0W0@6{-0dWCYa7 zt9D)X;A;^&beYOd`WUE_&QK?vp-wy|i6@SJMS|s1mZ($XTod`VJHLsKMP;WV-4CRA z7R^pw!c}%6EykFax%$xGRaJJn(~h&l;<LxpKdsXiyD~xP>QqO_WYh`P@8Yih^vhZ3 zTHQM-W|GsNwd0KB?HTfjM^fOnmPj_}`j}wz;vh=aLpHHW_I7{8kh4<@)0m|d1+)Ey z*(D3=v_9oXjlwkYDZ~+(iFOrQm%JmkFs-&9m_;(ZKh#NQsMEjSSn#a11?Zk(A)+nn zRBF6s-?D%5(WLG0s+=MFyZ7`$@_{FTv`ipmtOUvQYk)fG40UQ!Y&?s&U6{5i2<mXz zw*TlTwx~u)nr#G37iOo1gW9HK>{NqpoDZ*j)T#Q_+#&XYW$2g@&=#|kJ_hQfGt^0E zs8g{PGr9j~Cu&&<<DyQ}PW9%Ki;HbmXLzY#cKR~h&uq=@PxBXtW5Mji?>Lg{55!BV z9;`H&ot_^JWE(5{Q^$KP({yTFG+mv-Oz@|&(|}Mf)_SxbjZRTI>C7aje@3+zDWygR zh|(p4P8U|BWXqqAdN8HatjOjm_k9b}IY*REI<w3Es`yr7b^a|tm$_9Er$pq`ytw%~ z#py}`+TX5p(%Yg=Izyd0(|IXbO6RAyW-6U#I~`9saXvSFk*sv0W4@;hv-s1_eo80( zd{HNzp-w{&?O@;M7ND#Al}>BtE?^{IF&Z#X=`^QuE;j8<ReB>{=~Otbe@eASCF$iJ zN+*2`)JbQklg?15e0>sl|AgNpb&JxeZzn5Hau8p+pH=B}rdsWgY8`S?|C~yv_46;9 zS9J9in?p*c-d{(uVG(}R^^DS~Pw8}ZstYz5bSl-q16y_4gMN^^rkI^{hC21;b=abF zKD0_#rPFnfLM&lePI`Q>(&_R87q(+SAa$LhbkZ5><Z#j|9w-T*SI$8k>U1Wx4(pdO zkS<=Sbkf_RPC7%KiYMk~KPTj(6&fj>+V`r&Y8A>sxAamvEgRj44cp>P$0x(0joC>* zU(`uws8iqSSJ_r^8$XuAV#4K1Aog7{tNJ+~Ety~GwDf#e=K7;7&C^Qh6u8QZwdqla zR(Df6>0_WyIzydwhB~df70>4ueMN4zQaa5Kis6OU{vvmG!MGK~KamHkR8BE<@S;K6 z;pGF@L451o&H3hj>pW=Tb#N>YYcgG`y^J+%>Os$RQ9315OjoCR(AJ>SVu$T)^EOY~ zAp!O;P$!+42(&mGxQx9^$xcfp!?Qy~vR~P!Gmrkc=#+=Gpsi#hh7M;l2IQtcT&oCX z`wO#6mKwc>Wj-K2bZ7!`sMD$<3)%Snfi$HsFpHcny+71RXI2>(KY9}DAL~zxF?H{> zI`4c|J(nM4XJMNa7rPcWR<RLDJ~Y7%Ucso7e!e!@pUzOH+F@Dvz=!}El2P3|eJp0; zV<Pj@JDp)_uFJOLTJB<P#+IkC^I)oRu^Y2}GHZ6IFfCJ0-8<=HpiVkNopgpe-T1Yf zpX&aIygCfy;$l~J{0tty`3s5gQ}<53S<A94ZG5QPJ2+p|>B0DN=6;oYX!&z+ET~h7 zHBZ==eIC?hxw?1ST|Hf$>YLzCEp`ny9%T{nnW@`sco%{?>C7aj-|@_Lc4xU8y)0kV zL^990i&<PN4|+%zBUvTuRc0!4Zs$Y$<ftn8v;BqHCChW^AnP{Pi*9HEai~+Fq}6QN zY;W4L95B>L?+<m-8R}%&oyhw25YH1GgG`C{PB*HoWqmVbr70KHt@zq=d)UEPSDN4o zQ;j<5=ZiY&40Vbd;K3iec+qLjaAUxwIxnVX<ONIk(WCug;Xs|HbUeY{>?uk&9fWB` zogVuvW%N`aT^j~%oy0$rNgo4s(i!TcGt{X|r-eLm=mnBxAB>ASU6?nCcRBr#jPe4- zFgs=V(v3A=E_P2|!ug_3Q!HCU{48#?>wY*E)TwCvM;0a?k7P+|qrgtn)u{oThe4-e zD^u8=44G-q4`3?lq%#wN7L#XfVLP(A(bfTKvHSjM32S;J8_icwEq2pe%whdcc+<9n zVZpM=wmP#*_K)=>+imiqJNG~wkyGQ9cQf1W;7v!&0%nm+Z;LwV%qrvNv`u1`s~)tM z{B0T3so<G4tVDNr`mzjMM$AsJAv@TG*DiE;SGCyb=WCPw=?r!Hd^-yt675NoqSazI z=~D(?D=Y`ycNt#&s8iMV2iQl~BD78sm@3q%c32|&;~hvFu7<X#lRgIOq%+h>XQ)%d z=!N{&<MU*>pIYp;=bpqXR(eP(^?`9wr-<NItkM$~>J+XPyAikUhurSsN)P1)?NFzO z7hkgYuNi6YKP}R3#Z7h7)hQg@FzB@IaS|*1IV<He)UCMAOmh0)AD_V<|MsG8o0Lw2 zT&!%?<{b3bS*6o|E*)8m&Hgm?z0yf%cG=&>g6r8h@s$k$l`Dx;LY<xtp3bhi`_r}V zz)&Z>E$XB*)ah{NA#5o3qs`W+d#5(NC$MKx*=exhRy-nk4l8uela~0Sbkffkb<!E? zwDN|DS3RGTHu|M>dhz`^YraHmZdhPiQKxqUma<c&%FxRTl}^QIZ<gs+0lKm#Od;x| zkAXVr40X~O>U8095<fKe0jVIq2mF88>CnHE_-~I-q=gfxjXKq-n1#92_oQ*pl}^*j zHZ>pJ<3V4ZRXVvlo@WCJiH{T(se7lqjndVrA=qTl$v^8h_IgTYI{A%S>~v<5(|>li zjeU-HqbI!Ju!v;)oF=pR4Ls=6%J4avRkAgs`>>JWKJ-W%Sg>q=VRp%$T;9Mc+Pvt6 zB#1+uwk?^>lH$Fo;}Bq|linZdq%+hh!F?RN(#n$-@~$b`Vs`rSXfAX4;7-p4g$st+ z>G91KY}#N~+Oa)MLxRji`uU<xIzyctmSo~t8hg=99n@kM+wBW`*V&I&KLd*n>NIED z4)*+PQCcMsrVFzZA32TXT?tQ1sKrhn19j3F>ZCK&X;y&*KCk&@(#Hi>l@j8g$@JWP z9G{ls30ct*#zmc`R|;jR^<C-EFn9?-mKIkw|M!q)vjxioTe+B>o@Khv_Akst?|)Z| zUEOBs>eLAOGw8JDR!hF8v=jZ_CR%iji=EC)1X`Tx+JK*L=}h}yfkPmYUHn#sZ!YUj z>o<ptWtA+)(<1z3BTstZ2;83A{=)2%HTj3~-~YPPT^^w#4t1K|rXue?CL2Bd1lpob zdVi>s&QPbu`z!D{^|I12wLu-!DWXPAe)5<r&7U3AL7jfG2;RG_`2KQti(sgee!i%a z&QPagr^oO~;-{pe-gFXexm0m^(okM8uQ%P@x}#vIQ|E@QcwEt<^xTs6f}u`*-Rtpt zrT`l44WB+ZiGL=OJ_hQfGt^0Es8g-!2YKPv>&Ox>I2P3D-0Ph@{PRKbFrtHCsMDE^ z<@xJkZuH#-IA7GMcb2nk)LBnDt^gbh>eRP;Uw*Mg23oy?D%*^1nXXO|a2^JoYR;O? zr_8xZ9%t_=x<;LJW+Kqy@zKe=kLNwITs~q?Bx}|whL?Qxj65Eus(^>o8^G^|zb8Na zA!FHOoX+f$g{_I<eYZU!9W4+?<ka*pFp`_wydnuTfLSEd+oDc7v&y*BRjfQ;p_e3L zFqDv@PU`~4^VAHFNMZoIGEt|qU#IfB+isHq&y`O4`PyWEIzyd)PFccxx!flQj>0r> z88;_)694({dlDM~(~3If7&@D;AK*bx+<<9CojhJm;VUvb(TSI#E$XC?fja37b<!E? zv_H#Xesg;Z;*tsaL!Hjg=iI5pSTZIA)JB~uxQ^o$E<Pt6I)d7$)AC9YyjmF(^_T^1 zQK#LPMOp5iv*dwqblSbs3`@E?H5O_Zb?QFs9gCUgMXe>HMc1g4&P;OpA5OWzrmXg* zuR5yibRp{o7Tm#~{*YfOVU=+g=TBve|I0()9jht&v;BqHC3{u=7|T#HkS_IrOhn|= z)a7fLgZSX3`(tQpkxcIob<&wt#?{-qoW=DIpjigPyExRTax=!BX39yIkA!;()Tu%F zo2<~d?DX*l_*^SNw$;zq_7{da1t%Bbk;ek)*2SO>mvI$O2Jk{VgXl8(G%M<K(kqp% zN~lZ&^Q-K%>hLkP&0Lh8y#sAgCw*MhNoS~&&QPZ;BiHe_o$rw+LqHwW>21yV{8ju1 zGWr;di#nZhp36caeCd@Km7RJnatq<RbI_D}N~gqVFP^8oC(U13Wv9*mrK{6FCiqhu z1+al1JR~P=;iYuanMqFn7oU#72gDNvjWQ^mHhf<f($zUXE%8tll^@IDZJzYLAZ>Gs zic_-5wmP#*w)^VN;Qv+?q~<K34v|yyBk!7!MxP7PXAhvQMKZlD>ZCKPjH@;LbVx6+ zAliMSDk@*Swr)t)<UF+bdw2z+P9tiE?9bdRfR=8jbkfh)Ci~MF>U2{)K9}QRA=;v= z(utpJ$lkh@q{+O47z1^B->6{<ofSgI-GV8^>=e;FS4iD^rD$)ibkfH_opgpe=?r!9 zTtA*y$efXS+=g*crwL6h+<AExTCJAS$@0n5d}Cuyx?X(I&i}I0$FA?pxAtYH@#B?F z9R}uM<u~V~L-Q-0&i6=HrzS$C|6iw553<s_!D^!b4qq{ooc^(Eb|sIz=|vlshA+1v zk{ubetwz$29CT0s5zH!?ZRy)!Q?x(5?E|k4+h3Snvj04{q;&K5r+1q`9O`ua;)mop zt^KKY31Fy`-XH3uGt{YV1Pu;~^P@dp)(~wmJCV+=$?J+`r>Q|<f}u`z&2N%NGf%p0 zGHk~tq^YCMSLvh}>XiS*VD@^qKfSU5?!~xl+iq?cW1sWV!GAzm)M>0|>lB|;rRlU# zc-w+HHTm=@IP7Z>9sCyBI*ETKlYX6*PHJ4GlVYgTv8r)=;@MB6iX&uR)G4HYOa3&< zfj;dH<H9vGnK}iT%yC(=(f5h)PPVROO;)}%S8e1*uWg2#061=wNj##=Y(Cj&-bQMp z;A_8hb!rN24cV#3(=}|2OJ?f5S?Q!R6M+`5$}D30z1?Wli%O?TS*9_|v24`*Md=iG z&&nLczEh?=YNJ4BcG(|%bL_R!UbK+~;)tA@gdGc+C8swXTosr_GQBP8q%*6GTRC$Q zJ8;c|Uc3lTccM<NE9bIpz1-=82TCXRgElt%gA1*iPi++F=WCPw=?rz+xWs|iN%o{U z<YRGM#`##@ve>vBwAgf*R@BK7vVqOYP=scFq;%>#c`WPwBY=MI1XGAQ>0_WyIzydw zhC2CoP2gXjTq608!?>u^`Q2mr>Gh9Ei~OJn>a^%%SvE7lg?4p;V?mvUhU7HQSm;7m zJXSg-_+4Y03yW>c{Yodlq3P<>4BRm2)W3Kr%PpSjo8Cm}q%)J8{^ys9vs&5RXkZ(q z)8~L}EIK6{z5k!msr|lJDW!IK(^Z4vbZoM%&g_!?8rzZmJm^Jp?tnNVr{+xUQmk5( zH(fs+m_;(ZE$XB*tBgB6&6)KSpFRFlL+KPSGLU`h=1zSrN~d{C%dw?jT<E&3Dm&@t zYm@!y40TE^EWV-bh8OipQQ65e(`wc$%8zC$rgX~oqdxoeqcDw#RXV*a_$B4}`~W&n zmc61*`WUE_&QK?vp-z7aP2xkF+$BS5D4o{*(}VXe{)TwlRCXFs#XY6>NM|~7qsmTC zI?goDx{!(XS*~=tX_?Mi@5@9dh&syu{fI`D(dp{+uaL>8lk0+G%;nQB@_d@wchZ?j zPX9Njovf0xBh9)O4vR?UUSNqxk(p`S(@?>zlKpg^&Q2e6qufXBJL$|W<9-}u?9dAr z`t~2S@6^C;HCz4Jm0l^S_MP;$sFTi6r#~$hGWYY&bn9Wb@51afdf__upi@R#`JDQY zWnb!E=J7NG-IfWINRaC2=ZiY&40ZaxKMUVG)P>e^Rr^jUmmPR_Q7<@sl-hS%^5O(5 zBc8O_^bDp87rVTrR<eL{+3AHkYTrp819j3F>ZCK&slpubjWJCRk$h`mT+B{K*TwKh z*2`p9CbjQGTa04Cfey5weD(^n(}*o)LjJAcNWX4{V`(P-nN0gTy=UQPevm>7)V`Bt zY`Qu%hqi|71c#bD`ZuX^L1ibMnFzF)_kJ(4H*};WeyQxV@YFi?GNbrix{@%3RvC9@ zdJ>Cp%R-B_t0<W5FU&5Pcldc$Q~VZO&qWYNa9WG+W-F?>(c43SStQf@L!ESnI{njV zH4D$-LQlD=UGWCd+gO%$8R>LyxQsJof1Rx<Y)uIV+N+*g?DX?hI;rb|IxU##&L7Tj zq2t0q6E6G9I?IvMKH2DH4q4*5WDBOBWT$H8rNc|WRH05+vae(lE!nB-L}-iINgr3~ zq{dY`DTX?ItT&hUPCZB($d7hWr?@L|e8a%Yq+J6T7c#ubRO<K$HdEYB^)99syYbyR zhaBqYNNt~0c3R-_o}K^aC+T-bWhd+8baje^F$_BGy6}pP<9|q-|G-q-DA1XSK#Qp6 z_t^VXM>;S`eaJGn@Htk0v-oM{+e)X)UpdRMHw)d8vy$k~Cfn-FF4>?fsciTpS6aO# z#1T0S1y<Z-o?Lt(PX%BW$@I3Ulg_L%u6XxT?B+oinwqS1@@{aAootecp5CW)s*&#@ z>v7(JwtlK~($Ci>`_mcf)VX?I{(Pki4UqR7T*ghS=F6{b%|;JLLAFDk%-i3xJ1+U? zC8l)p%zTQKuI@|k$(?f4Ngo4s(i!TcGt_BC$wj=}<`nX05sZsE<&2oh+tCZ;;|HbF zwdAGj+zdxrI7R8?(<CH$)S!&C#Ypub%fc`>p5XM0wC<}uWLZ5kU7e!94TDZO558qx zbN(T7KB)&(bY_y%fB4y5HhHll&0b0^c2&-tWO1#XY4`4-;*_j1?nj+HY-;B$w8zRS zg4zDU?2<*be!&)(aitBPKpc@%^M3S2*0{SH4LAVIBAMPF>ZCKPj2l$)D0|k+h1LjH zi(REBms#yU8EKIQYOy=8>>>Ly!h!xA1lc4(w$;zq_7{daop8^`FL!aF2M0hV=Q6H( z{v15gCKkJAFg2)C)^e$=?5KS7dLy;i&Gk9UHvPy>%Wi<SsFOY}>ZCK&NoS~2n*$5@ z?D{FBru>C@)M;Ae6mHvmp1hBNaWOk(Z@!XsXzWNEGz9J7Wo0rgnRX-jZ1apXS}xk4 zp2@WKN)|r9`A;&+q!zp5@#*T+0@@mMn$^;WUvvIWs_#|zPC7FYXi=|^8}F4n18tQN zEGLpp=O!NiFeCjMSz9oxWK&PSVS~jxr~S*}{>SzgW=EDa8+Q%POtU_LI3lO!zd4Tl z{T`9+I53N3dVi>s&a5)7{p_FY+?PyrQgBVt7Vn+D<;leB#5mG|CBp^7#m*tsop1Z_ zhvcdUmlt)?&(|jV(;4ct=6!Yk)*}-YKh`YTav5jqR*nZw%tEcZ;2s8bTGuZ-_bQf$ zKFSA*;bPbGgCjq9+M90gr|zBfF;FL+p-wtOohIK{#%p?RC8az;Pt>Wh&pcjZ(Gikc z{$?KPG<nQ@)_+$9TFwI$L!Bx$_hoy_W~7;Sse7lp+lug=y+4zYhm=mw7Nx6GOB4L5 zZOqyK2J)#TK9H;b!R5fkPG=@L{RO_~;4c6D5I+_HTb4vJOIJ@mMZD6V_^Nky7bm;% z>@zdbl-_VUHW{ZgyJWr2<>&b~JJP0GAdbkXVGD9_hv1B~^%P(h$@I3Ulg_L%u9ZC- ze?QZa_Wz^yoht3~;V=A5)aywd(I4uxX;e-g?f;F;`wkxrp-%ew+GKw^L!E-lgz`1{ z9q8BhklDD5+w-RyAO4RsjqA}&Fx08_>D>ICD97=B1eqLlN}1-)<63yo1$jYZ%uf0k zsFTi6C!L{A^PjEcA9k!J-;Tq$s8iW7^SN#NezGeEyyW2;noK@^pILXmUu52XcqfZG z^|?@mRUPd>BU;0;KzozvUuzlOrQTb@dq<_cv-4P<u1>9>twE>T9+CW2zt`kJZrCM8 zopfd*&?4w<Lw@x5C-QEt%1-ZY)a0#({UH<mVY;j`?y5^wzT=J~oiw|eV79+7yJX`x zHsYJ!{2^_xLmZJ)Gl_<Bb5;ksW-Bm@WO{$7lg_L%ZeAV2uUs+FB>DThn4La}Z%Zk% z{5xrIEnM`6I@O46%u5gYKn9#q*-1ZNo9s_#s8cED;r!0hALOunRdX3PvTr}$`Ir-R ztq55Hb(;7+k|)0OquJ%dv;UW!co<(-UwlM;LuDs@4Ae<ysFTi6r;81C@ze=(NRfju zF6wk5bOYaWWi4ru5mE!{)W2{g{;a|ea;lHYPGfT2WFv+;(FG4xcDjGQD?fJsDXCMS zZJJJH)~2gdYoUfwr)L!-x%Y{eWY;(t4t3I*Nlt&$oK1P1ydTNfKX4yHBpZLLAwPEY z7im5jZhx(kU2v$!BeOZua#_j?X8Q}XOO{->9ba1SH|f>{;)tA@49lDGUX?P?&=SBb zlIi`SPCB#7xVDMn+w7c7wEw8;qAlu_IH57$_v<U^RSOnl)M-^%Gv49Mds4X)yroEx zZT0iD{e_`U-^+~PR`QJu$P2G%F5@oE?$0yibfgs)LncC<uB1fqc1N<)tpSh`P^T~M zb-7brce;r}Tg*=SxTurPP$!+CPR?W>-#m0CxltNk-l$WP?wk4II;+XaJ}@roWUo+( zkLvb~B+K8b!R%Ci=y|q&gd?rh5RL`@nM`LwyYlhHpOE5Hny2X$wK-j#+CW=FcJk~s zkx!_1h{T^$*-2+60xc>Zi{rbKPm#>MV0a?g%L1eLm|0gyWWF%LtdiY(*Pr))e}@Ed zm{!|gm|e1t>&Ebjo|nnp-w;RS)cEEa!GDL{AXDxFvq+}*hdSxZD&uAh9nO!Ox<*n0 zLPcBDsm7-<{J`4tq|s4Wpi!qCe&hJ+4kyU;M0ok2PWt)UWPdtCogO&M<Du2hlJ7C_ zxh0ozTQbk)dw<;~vwd3$hC0n&IFaXdcA~qFL6$(B{%nlpTkIc5rdiMyb<)Q`opgpe z=?ryxIDIFt=30}yO@eVzr{0aW@z0HW6U#l7opzc>@S7E{5S|C_<4~u)CkTJo`UUZl zzsi6*eI_$_W5@ku>_wHGhU`pNr?w{eQ}<49UX9|OBe#*`KOt#icG8(iPXDR*L-?1c z`$+NWYNH@;-@d%a_9LW1<(kk|#tog{jZbnvOAeo{B$(|l%r05e7DM>kCx^+|%#}qP zky8_8>c>O2ogn*PKwFDsdVi>s&a5)-)SBM>(#vCHa2c~`i#olh19|WBob<R4ml1XH zUp0(Rn7)TxN>LjH`uW;qe>y{*yjD%(Vd0Dn*a9kY88;{E1b!*k8L~ybb3&c^#*XHH zx_u%MfpCw7I;A`xz;i`EBu(Y><EWE92I{0U)JbQk)0oby`J}UD#m^(cqK!I@n7o3I z9oLG48a4_pmgvFXmpDw?L_iipoxV9#;E`Xhkw>%OJW!`X6~^+nXV;Us3~HkwVSl<h zwKKt=(&_xrh5TCVax&npdfrKACOQ3!<LB^wE*r>$<?s%WNH#P3WPa(*P7>b}lB-p+ zKRaW%If@a-Ty+Gq{e{^j+aEuk_ba=dH2w$Th@6@;QDgapfW5@85-^KodVi>s&a5)7 z+=B_+zxW=KsV8i+qE7YhP3L|8Y$1ux@XAD;>Yks+ZEMz&9;ez1mLS{e=WF{5L!Cy| zST25(Wh2?V{Xfx`%eaDdm-3<aQpo8@_;en1a&%wF9}Rj-Y^6F0hB|G|lfbWyzDj28 zg0`rWJ}&B{Gt^0EsMGSK4ZO?DpXSuFFfQs;sqJRI<9SgME+46@Ah=la!shaX#(T)l zkPhPisMEFFRz70uCGx8g91H4H@xT%u`Tqzz>#!)gsDTfPAP5o?QWAoqAfnhPd#~Ny zxprcAu8pl==VEuavUAq%!0t6)yF0%*_k5q@{T`l&eIEaKfA2Z>&fW8yGqc0)OsU1} z)m#1hPH-qwos2lgKRTWAT>wYZ%xrfgZWeVXnJEl2*x6)o;_KLfo7hO1V14sXfg%w* zSkUsCm@8P9HsfH_j00>#9lZWy&VbnjYhPg!>|3#wRh@uwOq6D<^F*-gyqnGJj?5^S zJRa#JGn0t(FiwK`ZFjMisro$%nq-{;jwLp;#B#W2l1`Op&xT$1S2MdTc%6-OlGke% z<H?M4`hCX?&ePYkFRxHV5OK=4rJ%Ij&$_1=HAXr)-<S`z&OT+H{qY2XbQ=9)Hq2_8 z&gQ?vT+&INgLIM^=_E7KX|rVm*nRn6xUb-Nq*Ij3X2=p8!G=`Ac}b^R<&xoTj$Lf$ zU|cWhl#n<W)RX7fuYc}Q(D2U^h%wJ+P*A@|f$c=5I<-~srFW;@9aCWVnN;?M<J&<x z$xIRD|Fw5IoUFc{jednTGr{hENrHM&JDKO!Dwr$S>T_cuVfI0Gu?2o$H)p_Xf_3(o z1XpuxXFJ5xp_nL*_tpu}G-VGvHVAW#g305NPBJrzxCKimLOD&vXPYZ(xzwFz-Jb%x z%4rXNuZ10pbeirm6CS=?!&>@a$0D8N^_s<aG9#UAXBNSMOWGG|?Xff<;>KKD0H3e! zXAjot=T0+QrNFR9PgwJ5cmhE>y@;6sZ~jYXo1HP2bdu*Fon%Hj$&7TG`CvWNiB{Me zcRUv(o#r`hgyi1^S)8~lG3m6r`c!yVX&2j`te-pe_U#JM2hOrA+cB5AQ{$5J;pDFc zY*R)3iBZb=Om%9f;7ivjEpDkgb&CV<HU^LLq?61PQU1-1=d1hoI`gYy?`MKNh@GWY z?cv5J9*f6Z!ThgIR-tDuKHzO(jhQoGHo=~S9#S1%d+-89W3@OYN^`H)8a3dUCoh}> znNcu#Jkm*KCJ`4uVTO8nxI6E^yp)zpIvqVTTOF6nmA~IsUSp(F_@4#pL+uM2t>4wu z80jRh*DS`98R-<4@I%d8--D-q#DhDCxTo=t)xdo|d{A4wj&)tI@tu~d@4fQzJ_k@^ z(rNFHe(JW~+Kqrp;yD}XB+o%Q$&7T88R>NR{d_3<_!7%K59cMF*nshHW%pxN`W?<o zI=y$*e&C+PiO1i@k0aEbvO6Rg{@a+HJBaf~(y3g^DYc+28y_`8e^Pnml}vSNui#79 zse|2lwf6U~?88_bmUNPtBFdlT;3+kAs>1j0z)fO;&2Ds5Jyj(e4}Dn%a|H`9g8H_u z6Yrc~*GXnJ5%=-qJM~U`NB*-T#xYTbtX?<OKE1W46mVol!Q@=hNoFPy=jC!l&E4FA zFFAv!_N3EC?-Od=i!6NESv+`>PNAPptDaYXvlYMbf(Pj&uh%TblNsq$$IAoGc6H#s zS#+K1*KveiPjc`JL+WVbkxp|Sr>nVU2k;~Bu!N-3CDUfrZmcK2S{8FjCwUIiNoJ&z z%t)tui|4`jKL=RtbvQ5S)W%~XbiH<#UCE;B)O+hhbxVUkjNPfJ#gR_$I#f!y{XpS& zSL3#jPF1RXRu``Q%)(|i_<NzC>a9$5>Y(6D*Xg!<nrcY=$=q|{`331DGewmD;+p;H z+X`8Dd^tR@F~L#?>`@>6bl|pLr7>5qc3pO=UF~!5r>hHT%$xzU36{|8KQ-9k#2-Ay zIMS)g`EzQ^63#r*ii~uU$0MC&Mmm+*v|9!3R$0+?@KYh_R4ibh+B(&q=WWO|MmkMu zaX|eTX2(}e!Y=`nPV#z5Cz<`PPF0=YLxb$R>~t(42<^^K_^l3E=gQ;lv4o`4?<!Vx z?cG4WcQBTabb9rEk!s29#T%W*T+&INgLIM^=_E7Ksq@ph&^x!4or%SHNvFlb$Aj0I zbe4At&P(0t$%D@72TwbGz6b6;q?1P>YeLQAc6@LGb~e(fg#BZ+R?F{fcX0i`I`zJv zsZJdgeCax6X`Q6*81BFugy}lTOcCWTyl%W&Tl+D#N4&0+UD+{ehhlELhWKH)NyKG~ z8mUGX&&98f)OC`XO~gIEvs<0|*n^)}b)7z5TckE#u07vmfv%IBOFGGnbXwAFv^t=o zJO3D`>*V%hta|3Q3qMpv*J)#~32KoJPQ3Y4T_<_Hq?61@r(6}Es12HU@L|ciPHQ7C zs8`4M@GXC8X{8~Z>U^52^5_U2*h<$aer#2>s9PYPbWPVuo`ZCf8R;Z5(y98zIZ&eX zRkp97uG84fqv7VF|Cr-MU8fVu9ZOK3?EK4cU8kF`5)CD1I`X`ob)D)NcdAvdWaA;R zx=u6y%T%XMnoR%dgx^;#;O55nf7Z{PWJWq2d6?Z&!cqIC<TL!_#Do$o&)l>ft9^O- zoBFxa{T$m5{+JiQldl!l;>;pWW;Ve-cm8R~UoC(i^oiBtnAp>^CQq<*oEX3dzQJ6h zU~(?$Bs0<}#kYUjrtP_Tv-SG9)9bsJ(mprw=6mmz*T$pn)O>}nCE}$AH&?>)&lhvZ z>m{9JMmi1aJ4`*S{ld9!BRu~BksEioy4q=N2>0KIr6HZNK5J|FvNnddQcxZ0PVn$^ zx#7;?{LWha+)18;bdnkABs0<}sNh7nnC}z21vqcC_D@kl^0tA4aoTsq^W(hKoz`hL zg5F)ojkj%x+EI79aP_^RU~}zJMdCZ<)SVWbbyvribK|od8~yE0TVG|WQ)is_pYDX4 zdL?^K{&tbxon)pk%<%gaYVo%7<eg{e-KkG2J4=I9AO3i>ey}TY>QvhL6o3AHG<F!X z$d#E*u%O2ts&_?y?j;UvOqAw$&CQmoCV&3%pY9~*l1?%solJK>q)p%C%NN(zyOaG! z4@<uKUcAf%y*oWo3s}Bt_fZdcp?4>Fy}C~N`$9T>C^<}BF~gr%|AFNqoqpe}uBNvM z=1q<I!Onko2TP?F(Y)D4>=OU0)9JV6a()iuLu+IC>0l?%tLvoCtLvmQ(kXD*M0oe* zJzL&M?@m(|wt?Z=fqc+eoR@SO6sH)H^XBCHzUkem;g1i733Z)$kjFpgP9@ybQ^j-g z8yofRbp1o7I(0!e{+~{XH@*17EzPt|pmQf&rp^>m{x?-2Eq{7${yP=-Y9?5tP4&ul z>m9_0&%i6uCc!TBy<F}`n^4|7DNbYN446%@y5EmlCcB4nr&Ab5It`obZCTPFl>as( zGYZAz@kl3`nM7RlK;LpdhUMYYTjNCrI(M3}JtD1rSO7mZx3b2lJB1GZm=?Lmm$&$h zW!1ZrzFxB!Pks+br}iI5tNoUS@}c7HD<I<1Pt{fXUCYPscE-J&y3<?7HWsIp;=H@~ z^$6+YmF$x6@Oc4#rVU=j)^*b7)pgRDu9MD4r*C7Yz`hQD*pg8=Z?yJLQMy&>1gmB_ z^8VtR45U-telCVupS^gx3wA~7P9G=yFbw|a&RxaRzc61>de-q(eVn{`6VSg=@bz1! zI(5a|e{^!$(p#O}I47@tU)M=y3d4*6S(>R6n|pHpLDvbsl~r9GefhC$xc8ex+>CwU zYFd^69+U@{W6prt1Zy2UO;xV@@wm1a$3$uRoHeS)Ci(M4rH~l~lgA^SWM&d^h8ZQ) z>)yF}sXMw(wH#`w&$fB-1>bd@Oe@-`L1jI-S{e6D(n(&gS&Sz$(#dzgEp_*HKVG*w zDgh$y_s+xWqYA-%>t-wq>6EA5V0DydVgBX~mXLH>vo%cZt^F`+e2T7<JO}9{Gtx<B zq*J{1Jl`5;pRgv6abD7?S?CzJR^=<}!0||f@1dfkc#XEyb#~`d;&q)0B+M|3PR_}X z#^`@!sh?$?I_bPC_kE-56r$|P>^Ak?aE^a;8n68l<Di!-KXM+IN!>|i3d4+3@n+RI z*n<bY$AbhD%p-lSI`@({@8VYua|N3=e!9Bysvo~ov53aZ88Dk*4&f)&GUamfIg>Gt ziP98buu&}(?#BzYMP?LC9*=aAnMuTTUol&){m6%({e%Zz>P}y0EK*wy&Bd2zt*9~T zPI-DRS0DU#<4+hKBuFQDy=F0<%t)t_EwaJK*}i;x0+tIzT<uyPREJ>gzU(VePtxgC z&5i1y8__(QxII4U<k)w#I_-HFZ$AcesXNJYkWMlqon%HjjhvJUT_W$WSs!p-(rNs! zsqi_=TlS$Uc3#rS;dY36aJ(Du6Nv|C>P}VqRx!9mx$%?Es3QJTlsSv8sT*Qlc+hSA z+=)44s#AB&{YNKk>L&+y@w@(Ls(!H3nZhvR+o#WI2NHAh$*y<|W`b>wDV27?C5Q+7 z!j51PEJrbO*`!|~{L|N1jhQoGHo+n%zqfqY7{YVJ>pERIkZAFE9l{@b=sL;ckxnur zoi<#3cyMj*JpA?<U8g!-*QM35`17cLbSm@N)v~p|FHh~N>m<Jiq?61@r_+<hsM!NT z`Go<xPCLKVQ)?8+$I~zAIvr}$&T_OvF<!w5%St*`YL_En&cFiv-6>rsc@EM^W~7tM zNT=A{Qz0bwH*4`y*J(gh7r5i>$j8*xb?V>D#qe>87r!+~*U5hAZ^N!J?mRVF*J)`5 zA2nsU7jF@ze?i6QlBrHT6nyCy3g+Lss2Vmo@Zw?mHwt8?i1OFFc~qT$(3!8Phh<=b zHSfDetvk?-_ZO$SCc(;GTCbKIk&8b&fP05I17;I!*-M-1l;pwd{=qmV_Vl)kj;Uvt zdGdqTkQoJ&$0MC&Mmj|X?^J!0-1*9m*eR(y*>AI`^Zi|Up>9<)M&0R9nUiYPMNa(H zVk`r7CwaZ3lgvn`4()v)8@The3-p7X{p1|*Ww{S8?tq_+sXINZbVY5|FF!BX9MvJ6 z-p}2np1B&xW3K53J9!S$NoJ&z%t)vHz0Bay;VcVmi1Si+8rF9@SPeGjybkBZ_fXrS z$0l{mT_+wfR6p2lzqv3$x#Y~ftLg{4dk3`VFptc}&4u(|vLtzCs#7A)@sCb@3%^zm zjd$eJ#b!}=l9|FVWAwnMs{eu<+&EpoP|&^heRV=pcYgn(excyb>6>a`M=$OrE&!NC zuFPzLCB!+w&nQp6uO)Ud(rN3!FX}z*$(5(#kdaPuF6ksQ(rNzUd+Oot9{ki!{X#+F zyGQEPZ`$4GHkH@LBc1x>ey;W$=**{It*J56NnS7MBs0<}(i#DMU%T^}=TJouy7xHd z4>gwf@Kt57Balwj`@L7w&gJ7(r{S(gI=z^EQXO+3h(|kNS?ORW&p|rLjC7J2=`^#< zdT6xZB%8bx=OvxqznBNf`|q$puW(+{DQegvb#`D5-gX0?^U}etM@n?U!bL8;Q6Jov zhT1<xY0%LX?gTn;hc@~jS=Q#xRHvSp`;SijI_81G{&xKJ3j7lx=_E6SVaB2EevnWy z8~^?p%fJN7TQe6_wsYqGjrC7<RnECWBOmS5eruc-XBKfXvk7*mMt-;(orACWjB!kq z=Fc~Om~V06XU`!s3MS{0PBJrzxJ9?MKY;k;;J*{}Q}M+eeZaWHk<Sa)PsPKo_`?kk zdtRXwmVtDV*J~Ez$&7Sz%w7%lPjKS3#4mn9#7+K^0IjyV@jr{PBalu_{X(Edt56>N z3$-Ji?!>#o<r}{IN^|Tcq?0@c=_E7KNoJ&zb;ef6J#Z(xnhSLxo$~ijg%C}#9<5Ll z(y2-Bw`#Pb1K;`;*GoFZt@2VQZFAybOK@9AC&xN*V8?&6>KmK<z3y}(Po_Hc($x4@ zr!HmRsg<TYXSr_RCXh}tQ$+b4TD?(A?|9E9dEtSB2^PBfrFya0Pd23mp0Ah$yZz;v zx+yXX_gkr7caoV+#J#zl18Us;!?xKlj)~GNeyPB<U^^adL1q+8&Ly2>W)g9E{=86w zTK;Ck3?;POB*B7wUaKz#d|^w9GmTMq+V}E}Iyvzz^KYqNcaqm@7P&GbokrO5z@u8f z*xEMwb*I=b-f%R`o)^4_dq3&4&hwMH<wh?4r3dbMq*G|iOX`sUIr!Sym`ggzbC6Cl zBb{VMI-M^y51zkR&z?JDCnBA?r6z%L;~?AJ9_J;U?jPBz8a>`Khobs*r-%k+ELAsr zW*?s8wvbK_J2=Da{r|D$kLvx^>1}wXI`vlYrJp-pnqYv&N3|zei$}naPBK$O`Ga4^ z!_VjT{Pi3Clii&9C1I%Q#G||EpX~O!$HBQfuDs{%BHE^!MXt<jf~{Xt6SB2%=4!s8 zS{&(gq7H*CrCj*HUzkfe$+@JH%t)v4rAk2GYtFn)GyHQj>GXa>X{g=Uk$*2(QDdZ& z;Zs>CemE<CD*iYzU#KImmvoXD=~N_NH#qK_okx0MCjyaMxQG!RwaCc_PQ*?`Iu-B4 z;dzq~t~|kVkxpeg#K0}BJB<|Iy&|3DIY=j&kxnuro!-B*fbq&Yb~6my0O|Dh#8&wI z1ejNQ>_nu~fBt>|+Pw#UUPtYyI|VMEpsswGgIDf^>mZ#D6=(=2=Kf^Yrs|*U+@mtp zsgEYpzdCLF&ky>x$;L}v*1MC;6jA;`+jGP9VNQH%gx;MtfAN8qm2>iQ<Mr;;pp-XU zZt2O_Jk-0B%xq%3p$lW7>{vHGs8EcyBqmBzx>H_o%<jS0WkqHbOwJ{pWM&d^Pbc_5 zTuV2e*h}wDyYKlzt_L}Iod$Y$3Ul*=b&a!gkIs5`lGke%<H?M4YIvXu99-tgvo_JY z(_oKsFup@BzV@izot701gnl>k^3j3VB}k{!pB*9kRREtfN$*bb9Hf)XNGF+*PQ4QM zz@pv<Sk>x!cM2P_8u}S8veq+kUealE`v+<%cV~VkQtwX1rth(QiFf7fir$^_4K56A zduQbfZ|mKuRFO<|>Weo0)1BgTOai~LFInI)+`Fhd$xIRDfA%2>ihujaTmtbtgbDV0 zS`swUzU*PUfv3MF!A5+U2=mQZxlfX=lgw-)u1b#-aI5-@jkt<&q|@2o)1Y;{9WSv7 z8R;bFl1?%somO>Ef-;j7e&%{{Etk5}(^E;X``I^^G8oV8s5>=NCc)7q?^&HH_>qFT zle}KiNoJ(e@h^*@!{tvbAQVdoLc52X=YdC}9S=5R38_0h@|X<X#l3jEAC{1Git9WY zQVVH!NG^`K)ScuxNGF+*PBJ5%T-#lPW0gj+O#@NmXzib(+}nQ^HpMJtvsdA~q*H8` z-e5fPi`_hd>!t3rDcv6)RnN{BdE>TFcglHp7DV|yW+#T%{d=%$S~63e`r*9)==AJe zGE}O1i@h(ScPE)C3^O*bPll!^9<ubOx=!OAlOcWUE7p0J-kmCyngtONpV`x1G1{h@ zMXt<jf(5i)1UW{&V6g`<j)~IzSTq-|WPQh)&qihxOwJ{pWM&d^W3JAEA#dKWC42Pl zw6A?K%(6UX$7|}{>Cus7$kXjU8{w{ZCwaYQF`mpwr@6~l!1M(V*{SDP1`u&E50*jr zr?<@37t2aIow=F<FD~Zbo$OID(y5itR7k#<ji3ICxulak2k9g;(n)5dQ-`OQVUK%L z=2ITWBb{7do&`hV1XiIB&PzHC%P|h}etgAhC*gWYr)T!1!F8J*-wT*aIvuwxgy(fG zv8VBRcN$zSQ=R&w8~^Au+tvsQx600s+{L$px|7TlQU0vgnm|eI$J5)Jme=B#U_&-E z)4tp7!5==yO*aWP<!W=-J>8oR9Z*1H<_wrkF!QiMFkp!Xe{cfhm?+JSgI%G{##}td zB4kFv<nc%+nVCe~*{sdMINFmJv*CFcb*IFOP2v03oIH3LUdW*C)Vg64*wrQn-!UD3 zdpBR?%Ih^}z(}W>7so)<<eZ%Mz|w$-dvRbW-0bPa>t4rFkxtHQn}Vra1YaS3Fh)8B zG^hZphX?btWXvU<<atRanUPL1Bb~0dybAkHZ(_$bVAmm?!iyY((DTPxox6BKLONBy zSP;A(<>c#Punmw-*$p$*;j6v4>rUJj(kW(tcj!1)`+~~Dnt!{Kxk9Eo4N&l<pNhYQ zYA~b0XO_Q&u9M6ZQT|J<YeMR(->lYJ{AME)?B37X(6Ep_|5`-X$@@lKNUWcoAKewH z#hFE%%xr>{zS<RPF16={6kVs`?^{9q6bEj;hPkAZoJ%^%jC4vLTL*qu*6!LLq3hHt ztrk4fKK{0Sj;H6OQ}#_Ypi0A^tedT(#z-f5y`+=ONT-|i`oaC9cKq#0EFtM+c+?fn zjdJ8KDqyKdr|MN}!j?zA{J*_eLelBLs?rb~;mJ$9!CcZwo+G=)6-8#Glgvn`9}^G3 z(d~=an0q)c>9p+NPRLbz2MY+&bs9D#0`_#a<CBwc_rX}LDqR<-uOl4!ELUA8Lt;xf z=J<}~E34}S)iTv-AddHsPE-06gW*eD`L}RgCz&Y>GlpI+0bW)Q{wqn>X>aM$5Hm-6 zE?O2{r|oabfOV%oA2ujb+jO(Ym6=Vjt%hc>rnxU4eG224*wZ_$t`3I-{kY>|WJbZ{ zT+&HqCJ{GtS7~UgeL-dGyI3uky3+@*Qt&Oxiyu0q>y*D}33#=@o##5L>m;w&EXI== z>C`f;GuZZf@hod~oeGa_0S%h@^HDjmRHRdZE+t`E&4PS$4PB>kpF&_r!*K3-P1i}D zBfFNbJ*-5k2k9g;(rH_V^Dya=%7&iDc}b@;7Z1Yno7Y)SM_s4kuN}Zy`<~j$fx1qk z?6Rq6fBNtPzPe5~X4HTsEQj{oJ6)%zbu!gy5N`87I@PMYOZ7bI%KI1APsL@XFwDq% zcc(hxiuPnFakmsESgve4)$`MQc!ebVezr-l`QNvz4s*1(*Ak^Ma|X;N*c-ze^~VkE zX-*FKR*+6P9MjcfXZ(1D+n7r_$>WhuG9#Tz9o?ZOFZ1QqJEPj9Q_+z-)!9Y8c+Euo z(K~ggeOY#?XLh=C<4P>Ue4&oKUeZZsq*HhU?RH`3efg+mxa)z)%{JH$$~p(}_-r*b zMmn*i{c5&LQQWUOmW#U6s>JE)?HPIb`TLkl-ASH<bdnkABs0?K#fr7iCE^zIZ-?{Z zd#EVedZj>?r>|M%9XKz(4~pU+Q%Y@Xbmwy>qQ<ypMX9;6f+0Q5oe$}(pF7R&{Ybrc z%!N0N*H6W>H_lY2!8qPOI^mxe$35`o6AtS-$xLCGkuWgM^7N*5!)Wnfc_!GosQi{q z+INf!ZP0ac9}#GQo?$$6ldhA@Y$A8Szyj(G|1fTRhjC1l=I)M5mJ?0Gc+7EKCpnjN zk{Ri=sByT(J1Lkq9Ioqhu2CUN(P-^E+naTr_O>Wt(SD@BA9>>2OFGHxC7onOI;B4! zuU@MV#&-u{8AzwVgH6<GKl1UFLv@|5=ILgEm}2~^xG6R1)NrC(LajpuxmQ2TC7t9s zNGF+*PBJ5%rk$JxXBz!sp^J5$>eTKH-me__s9(BH>vp&sN<8)EEkclyPQ&VDV+nga z_}Oy$g@Uo=eAMpFKK%71U8l&Fnd&qI-S|hRoDU}gjBw}2w&UANr{XeGMEQs2p9~lG zdT~nwEDaM(HBE(YYyJ3CZ#-Wy3AUb1hd;I;KJ-+C#>^Qon_!h5FM$j9a&!NJ`LsCF zX>rH7&~ab@AN?6~jY2VbJkm*KCJ{GA`*Oz0<No}!cZ`-x-RVs0DX^u8FF&{qb*Juh zV#*|ln4&%OVk924Nhf)|W-*@3NT&|ZQlaG<FP^Ik9>hSzZFE@-+xPl&j|~+yc3rS@ z+8oD!Me&wb%WI5u%Da9Tl#Y(%{o7+M=_JoVI?0T5k{Rjbe&joBD7%j3OT~j&wDwOs z@9Ogmsy{x?etyAQ|5JDBc(DzHSab8yzi_>zQ}#a()VF6s_-Z3=OGA-cA$B%g_jKid z+E@L1Dqgo;raBG9dH>O=f!3V@N(J%;QMyhtQy6AAmY-mWD-yzghTs)&CRm+UJ1lE1 zhx54sg*9dp%zx!g%h1!2oafK0F>?mYCRn}mL)8(zBYB%X7{^2zlI%*TH`Yh;EESO% z1(U}kon&Sbam&hBET8X3@UO42vyo2I3M{cK85_n!0`TGi>9k|%K+7}lV7_)3(-`R_ zuh%TblNsrBqw);3cX%Y9KN?F2BJTE&PHL_O(LCuomXLJv_8Dv$ajzt=@*7J?I(-ca zOIUe7mYc3)F6kuCK|0BdbdnkAbgRrVNV})qsV2ChHXiA;c<dM`_{@cS_ePCLrylQu z4Y&NYXTeO=b$aLF#a@i?<=;2xI_*dZREPQn@>e5toqBi4RHtDIzVuIarSq*&8`a9g z<2#_a)SYCeFwCf@J>e-<I}l|}!auPx!8~5>QwO`}=bQIpM=%L?`}tut%rA<se;=kX za|X;N*y79Cpvdq7{C*`}r_dWu)t}7@@=IR2PV#u9lgvn`rwb3N<HI6(^ZB|?)!yt- z9d?EDIB`2y(&^p(_3EdR+IN<&;H6E{NnS7MBs0<pe!9Y9w@AL_IF^ufif~h)!Om#D zEl}6#=GygYy``o3=Qv%by(4<4+H(bX3wK>7c@EM^W~7tMNT<iuEKqCbXSQM)&PzIN zpRfXc4szgSKH$8hQ>*4SORjby+~EN3KGdD!64x7wzskc`Z^3P$?sU}ehFZ095T7}z z%HQrZvuCC{4Oj4`>xAa7+;oLiHi>Tq81VnfOkv2%j#n+KQ}3`EgYmEZOt7WTeAS+B zp0Jc*5gIcIR&GHRb^nvs>|lzY#>^Qon_!(5%v7h;d(GY)!Z;@ObeEEY)P2dX*}2uo zjDpGIkxnu*iMTZj!qsLj&)E5Ts4;b?{OMmTt*Sj>-v{8^O*+j?U1?d`?G`(75jz&? zB(K*j#*-Q8bnI;<wO->_?7|nkjs+AqHeB^B{E<x@i=Q5^3pVq7Ukl%om8aFf%e&N_ zmPC#%`$D_W(vacqXs`YI|L?Qjo%DK;PV%;pPLbUk!j$H_*qnwqFX?o2T@mfhEmn46 z5&o5ebSkrXP(n5LtE~G2Jm8Z~T@nr$*p3Tq$$z*lq?4iSZcCxkSJ>ER34e9k+dosC zM&LUB(WzaIj_SK53NL;fmrmVDW(vcM8U1IePgmIU8g~n6aZIrFrFN-znmO^g*+Vc_ zu-d&Ysb$)`@+K9%G-l3#*#z^w?EvHBUHF{|7{^2z-uk{*51n$+o`itRD40AR=_E6g zh^tyTO?}bbndf>MsO6GQ1-q_LWBxesh&TB(MmnY5PEvD^&&prK;Q1cuB(K*j#*-Q8 zRKL|__5N~a{$FWS5k#EV0gL*@D<`k8rI^M@r)0xG_1autzBd+kJ<@4mg;4d!KyQ9w zB<7M%@*Jd-%t$AhkxoSy%!dL^PqAmWa9+|Wf5mYyy4G!0qX5o}Tv5J^nQ0lAO}p`R zUi?!#>E!ukrQusog;()I#TtsZ|JF}ZLtAKf63kKhuTIy8W~$RjoZ}yzDpkl0e#i53 zKDnYcEa@aOg<(eP*TGQiQ4~+SgXS~AHYG*E`0cSgp$Z;gOoF+m6o%>Nit*7qf;DE& zfY}5)*Qqh|d{Tsac%zC;l*WH<1z6E7j#s>cxkka{@kl3`nM7Rio&{mc$s#;&u}CeK zbPB2#4!>)}@Si#Htt6dVrU$_@OF{l92=`3VNnWp6j3+bFsllLT5D{LOSN_bjTo7>^ z7gmSixr*`g9J@Q|v}i^kB%bEnsW_fzl1_Jj{85X(DaXeb#RC!PB+o%Q$&7T88R^vI z(0|~U_Li0Q#%&>;N{>AYhf6r{SaD&5bow5;U!C_mil4rT>m{AWEU`CyX<djvS&7?1 zI>k&b3bzhxk6ap6;jd20=uCAQrQl0H*!^j~5(>W@!`hF+<0$DQGewlY=;F0tFil~l zs$g?vf*mft335!B!)BDmj%5-oA$=?4$-R`V@(<IPIRj=BtZ%Db@Tgic+fpCnm?%xc zq#bZKVLt0y8kv!pG#=?B&tVdAGmCD9YG>xL-jxb!xunz3&+DP@xS7l|4fj^kDY*X{ zm>f8XDV?#@q?5c}vlvfiq*GA)4R9toiFIvQUdsg$mp5!Z9Gy0s<#oZ*kWRssSHYq6 zdst#2EH&wrYkDfwnYDvyzdhF&=_JoVI?0T5k{Rh#^V}Y2;84b}a4618I(cN<4;72- zH~ij>YLiYy@|s~^mHBMLd0a2)wEWOmxK(*48+BRNDZJ-usQ05E%Qm{=U!6iGW~!4( z!I!Snd*3Y(vNe!5X@W~9on)pk%ve=-C*1xM!oL^7zt}Uu4EFoM%{d=085fDUf_0l> zfeYH{^uCB7jhQoGHo=CpxBwp>=jG$(VH^{sS#s?-lrEZ|*K2{yD40AR=_E6gh`VDr z0Pkb+^VAA>9!EO4m)-+Y$LHmKoA9Fo>6G`;b{KXhn5S05E=xMe>otq<WJWq&UV8@O z-UjiwkGQ9Uh)W1R22bq5dEJ_LK1DhmtF{dcvBmj>TKc(DbK452<5ZjnWyP|RPVyY2 zlgvmbnUPM*l6<VL6<4zBskkkqldFGD>*IMRncr{R<w+-}HYt$G^J`Cx!u66)^8+Jb za@C@I`$f#9?sRwZK3J;#u&nka{oIL7%T%Y)3chrmW{fvNlQjkT>OQy$q?61PQT}{s zJz@E^7{2l|mWByd``kzvYKh}-mxW@kV2d0lK*+n2{9a`rjhQoGHo<l@S_qYQ$MKY% z7{^3u?#-A9>+TfiCk7!i3MP+7I?2o=;(o`BhN-uTar?!2v|Q5Z<IRCEphgj1xeDq| zIxV=^4O})A;%6iA07yE?>otq<WJWsKl}(1)4GQzZFYx>aL|mf{li@^oF}}SR?q;OZ zwu2qPZy4t@0`+sJ1*@xoM<>qb<;L?B(n+3!bdnkABs0>f_CyD(t?XUqQxms^bUGXU z3644cVV&2YN~BZvxna=8r3hbnP(ODvd0Q;KOvU-Iruw;4p9B4&Q&N83s<eLY)FmZT zoyI8m(si2cloKZX=fM3|;q;`F%oI`n3VTAJPu3hf@)MSZ2^OW@WH|d}H$JjM0Oktz zJ-8}7`<RPYz2l}aa|X;NSiK&d;T`wjAu;Y+93yp7n?hgh$)7dskQoJ&$0MC&W)g8* zKbC>&FWtFa!`xaf>GW_^6ui|Qe4h{*rZLhfWO4vZ(|*~pr#O~?bduL=7URi`bc%0W z9(uUv<b%bZnL)(m`d$KFp7-FlX5+Ot(y7*SPw*)e$VdFZlK?u{&E57z9j-kwDr<B6 z2tYc?bC6ClBb{VMIw|*#K<c;y?9gxg8zt#f+;=;S+>p+ib;ezublP6zsOs_5nfLyV zF;%sHigGxtZ9?mpF8swl+?IxdU2K#GI^DJBowSFa{NEF!k``pD(^wquADyz4Isg$f zeR;LHXgTR5GlgNs;w^{a_LBhaHVRL>nP46Bo`qIFLU{U8><A{oN?*AQ3mQf6aT{}K z%$xzU3AU^E6By7d4{sFWrNuE(nyY?yVaJP5?)3<Bje^PJkxnu*iMWC#&%?{GFz&J& z)h3-HhMs@{ee&=$XFLFsPW4(^VeU46UV09`<)o9mUb7faW~9@pme=8$c8ia%@z`}h z#0~OGhv7Vk*I$UGA)P)RPJ>_Wg}BQWRE%`GIdCg%{#=-Ut$?|tlRO9MBs0=UW~9@r zE&<l6OOx3q6}t}U6llt24H~+St!|9lLOQi;V}>?2!uYA{xL(p}=(RFXIA>vg{1@hu zPHR3Nfl9qSc|>HfzdEg5mZ?tT6nyF3snu#L4DdU|`s~*ab}~~$`Og+Q3GdIGVqP2Y zEn<Srm~ase{J6}zrsLjk5^R6P>kzT?4lDcES7YW3m`$(>H}AudmFHPtY3wFUl&1ak zJ5XiURd&`LnNcu#Jkm*KCJ}d~*(LZ`;~EQifu9OVr=Q)<Ld@gy%vz>^#z?2NLC0a4 z@dOJHWgwm8^_s<aG9#V*!Y)F{&O<EAL_A1<i0kWq4n{RN$A;&@-H~*f*#0m)c=3kK z7a!tDr>JKKAZY9dc5}FXu#@K?on%Hj$&7RwQu7;3@V#TOC^#PJRKe#9?6_2jRjiK( zUeamX@tyEzz)iL;3u;U{x%8L_b?<y-F<)?-Nv98mjzG&Ndzht^ez3c+DpQ@tEBMlN zN<X#_TwNXbf!eqU)SYCei1JrIcL-wIJM(YF@skrH_WTUA8sx@p4e`|3B-rJsE0B6I z7hl!RQ)A`~m`yOH<s(@4$Ax>I!8j&L<IeBE_(XSJel9YjVDfmRlgvyau3Y$ec(&A? zyY%qaa!DtLSH~gcl?%^p#jEV3)BXAY9x+aQP)$4#kxue@&0;*6kxuo`ro;6b4t&xd z-1|YqO-woq^VA$Xu{R!cNT=D+2jN%A0IsHCM<AVQuh<HKUGnh2tVK0O-ASH<bdnkA zBs0><A<^CHu_uweHsiLCPF-I)TipT{v06WImnWSnwp;=3Mh`wW1=mYD#Rt`bo>6&t z`ew`}or>pIVbnK;$2-UU?M`nuWUA8y1z);OOB&3FjT<6(_hUFc=_E5nls~LaDx7{> zfR7%HdpZ;BP_GS;?_CUk(IXIZ1<QVP2bjvl@e{Q@G-l3#*#s*y=QuQ-u04|ZFvc-a znl5=P(5-tc|2z(vQ80Nt(n)3}5jT3%CMfC^%M%CtX}P4+=ET*&`$Y3=;txKgQ}UIi z&<i4Y)0J2P(n(&gS&Sz$(rI-4eK2uzeje8l%K##7aqxC{yCa&fSfQUgH4a(?6*iXP zY>s~JRHe>T=vTZP|J4(7Nhf&@(n)5dlgvn`d|kY)_LI_BvvmF3=|Ghn)`>G7uoAU& zo$N~W2W4RlXD+%<p4m^UTc4HSjT3QONT+!}%&@3uD6cm}*D3e*Om&*5;7ix3So~Os z%HqSfPR6~4bds4O%D=*Q8k{cc&&L<cuf;LJHdmVuV~Ygy)nBlLCc(PSN`=HedHEm6 zsWEc~%qG~!hCATn)I2;n(oKtFqBQo;*28A)Vuaf}%ry!ok4HMm%p~HRjxPlJ`XPM6 zPaiFpbXt*?3@!Eq^5IiMG)6ilwVn*E-2C{3hS+6ECwaYQF`mpwC&$xfI8@t@$NFQr zK*XKwx)45H3F3u@V!5shw&V49=+?6!zr6y_GpRexZrKM)ITYfZN@FhRB+o%Q$&7T8 z8R_(EP*!Wa|5o<oAa+3NP77Oo2GhI?Y~XeLZ|Y7H;_Abk9okKkuHbs9JH3CnRDHWX zoOiB{+d?|^Pn-aA8hG+&Zbkogr&4<})hS8Am#$OeD$C(x)1vIN8HXjEWTuGn589my zUj|iR_uAn%513$~yUgI)qY0~88LwZM1e-g3894Us!Y<`P^UWDBn_!JAnqgaqdaUL@ zx4al##SE{Cv|=5iFqd?a$0MC&MmjA@G(+^e7A!?v>mi*6^HlH|Sc}z9FRzV9I^BMp z3Wv5QuxI0HYK(M}*GoFdjCA^WeK~wz%h{+g^|V~li9K5mmi(=lQm3xQNT-K&m&2(V z^H@1?8&uLMvQsJyA2FGk24ODgB+o%Q$&7T88R=9xdNz!^QOT0n1?MH5njKpVo7$XB z2;5s+W2Do{rz_y(`Bp5)M_e!IH2dLf*mr3v8~YS<NvHbFm%|>9P*!-Qeyi1{mP~b; zq~J@|>Bsbj?6gN~ZD?I5ohhRHZIhP5;q@Ka;*0gQI40QMOABCO@(@;SlenTT*sh6l zU~h%->_9I(wKr$LY=TXCF&Bo9?8iPWz&IxM>iQGrLXCc-So%a{M#1FqNGF+@MBLk5 z^I=J@k<4j3szW+0DYY0ZD|)df<?yW}ow_Yt234OJ+4_%-G^XpMuh%Tb!xHL@bZY9n z5*~N!$g00;uH}M=JH2HEOx`n^Id5&IG1AFkzZ{0;+02SQYpSvT?M{o#;On@UIX=c* zT_=4GT_>ICI_Zpb`r<Jknx9>q@Kk%)>i_BVD7zVoUF&MFMB%)olj^b@KIJsAbL|^z zjC4vamjd_ZEMeta;I@!X12?Y#*TxlCA20oRcBUhl>NHuwm#)*pi6@{%b$>o%C7$_{ zPBK$O`A5CE2%c;6@G;9GwKyhNk$$(K#nHSx%T@il)3a=kVS4^Z-tMcr7H1Z5GP4P$ z<o^QIj)d?beLS={CQ4Hw<uzOz5zem_MP?LC&Ly2>W)gAD4&MdkO*mij9zPY5PBklB zgFhugd7Bbp8Y7*)Haib@v^(aF+=>Sx(n(&gS&Sz$(#d!16X@5~k9*gS)p9|^`3Ksx z?_vk@d+YF^LprUCKMiR&V)%-k*fmI}Y-7`4!^@&Ps2=8$PVyY2lgvmbnUPLIgTt&& z)2B1H<9NWrc@!mAhXCvSd3)IGakwp{lhcWfFtSZPe&G?WmvnmBpf=oD6UR4v(+_sJ zew~I~$Gmund$E5HcIH!=>NExC{YR%gKF6W_@$B5Lm45CdGlgMBY|e|&F5H#(Xq;c$ zEGC#=ncL8udvcGd{u(n0melew%w6Hb$8L7hm^lMx6ReKsCm7z)jh6^Q?U*Rd=>4x? z%^y#m?J?#W1(U}kon&SbalN+Qg`eGW@g-~V0tM+*WcO7F*rDA<_GO61NT+Fa&q0${ zIrzcO`ni+5Ub7faW~9@K4>sth-E4Zb2bKXuT+EbPkaxT*|2|4TcdEJaBpg(Nc;mzR zxzq41Y2e#Bl$UqMT+&INgLIM^=_E7KX?9*;>y)`2S)H}|xl`MVp4JPc7O?n&xGkj9 zn<HBw=7|?yyi7lL+P%OCK}W;*p7oeZ-Dy>!V^E_`R$j|m_^(bUE@Z0HR0UspcN)85 z72NNreI@L25p8JdPBK$O`JHEM0cCqMf1jF9i(`V#R`)~R14XpkTj;0a@aZrNa4Er8 zEzGIKnMIt;Y=TX#aUG%_7UuW7P#q>pb8Fr?nEI<I-*X9bje^O!q?61{B5rr-G^lJV z%72PK+K^7SO6-DDB?|Mwd32rFrH!y_R1{yN;wMz<PV#!qVmz6VPL~HChp;{cc<oMD z1`u%-!vKa4iQzFjutQLHa-Xvn>;{zOR~BLksXGm7u>g8SF&;V`b4e$84$?_xq?61@ zr=58MtuS~W+jj%iq3*ORDwnm&CL0SKhW|}EZ5%fN@`M!S6?5x4IoZ8eTaS(BrMu#` zkWThl)<WkadATuG?@mvzW~$RP1z);OzEfs`@nCNLVLt9Pq?61Ph8ams7J=RGK>npV zE{6#=V!;|P{Rrh(Vz48a1j}=18?>vCkKb~^x5AtOvk6u)#}PPjKZNfXf^kfgW<a|G zaA8(ne!+muD40AR=_E6gh>LHq9&+c&%e_l`X}P4+*$JueNc*W|&|bVQM%}4s%lWY4 zTmaA28@nv&B(K*j#*-Q8)a2b}XzdZeYeZwYK*aUzu@=TG3g&w!VYx`BZk<vfvSc*x zvo2C&q|?Ct<DuBk!hBL?%q5-VIY=j&;rpN{G9#U)#5h~OJ8fi@k6;JHF%{*QXI5*4 zUFTRk2iz9Y>6(3a*ikx^o9^R!tBSbWw~wkzD;D6@#kP=6cl%9)cI&+Ow_`DXyHoZ% znd&qh=lw?~yRBc~`1)WT_8pJuq?61Ph8b(#Db_V1;rwEp-km-ycCapLUV!h}sduM~ z#d26vuN2}FeX;A9MXt<jf_ZQ7vf2)6=SfTT?o=So-P)l+0Uq2O8R;bFl1?%sou1!x zv|gE9khgfCUnnS;p4IvwEgwJr2CtNpPWgTRz<~#0ylkA_o#geBPBJ5%2KCBe-FG;E zU*CZpfplsSp55B~X(;dSj3p(Viq8BFQI+EOjPE!H>9jrgCG@RVn%5LJDk7caIY=j& zkxnurooWV_vd;f+0J|ivCy`ENn#5U8_Fd2Z<M`jC(?j2zaDH<Pe_0f_g>?GaYX+3? zW4yQ%u7h++8T}D<-^$HTK=faoVjpIz(+qUuADwnT{0I?kf3U?PvGI{kGE+qPJ$)5x zt%xkV!7jYQ%mka((ZRa1wRY#aVtRMFnv}!3|3(fzb{@VJW)UYdn_x9pds+jZX5s6d zU9~tS_Vl|(H|y?pj=Xm|<{AZ)b4e$enMB<56OPvF)3bA*c3xU8b*Bo|vRd;VvgdKV z_3jku^$WKDr*Pvg+%4vdTzS3b3>fJ&)!D&nj`_%*)WVJcBCgf$tkyTSKWvEjaXjgC zeu(xlW2HN9pD$92Bb`1CcnM#aFF#rwb4e$8UeZZs_&z9#%t)s>XTq$-W1QI#8+Ibp zM^Uov3bWpJZo^)tqB^A0`-k^n?r|6X<p8dibox*r6#^P-KO!52xulah{ux|+|BB_D zTkx+=b)RLb(@dQAADyCq?SKzX@jP@Ono2s!OktSOBUXhitqi<ilQ1og3D)xJX_(f# zA|Kh;8*>FKUEwNRK2?=hGC6C^oB^{5)@{%$sFbTbKjoA|i({fR_nSU|_x&sJLV&qO z!Q}BsCz+W<+`$#+z;S*h-f5DjmP<PInSB(rU6tG0@RKKXCkOw7P^&-!kM4zk7ABqK z^_s<aG9#Ugt8T)XJ7xGFJ1hf;xW)<TaNlO&VezOA=~SlC9x!dF#RLDtIY_5V-&R2_ z`v%<TgSn)WJO}9{Gtx<Bq|@So(bjRL&apLhP#w~#a)-RuSCQXY(b~8zq|^GFGoZ}y zO1#Z3+!oSl?W*_cuO@YP1qHW-baLCi8Q#4w&XW_P{_52GO{O}{Qt+jpI~8)90?Sqh z@+%>@S)`N96jA>3pXb4!$06MAEbi${FvFJBQ1w9sPu_%|&P;+Oz26RH3l`+Zr)1NZ zIRj=B>_qf22>u+-8~(sJCQ9Sxl?DSR<>wbwWJbZ{@kl3`nM7Rnuj}BVeSW@h4|Y4! zX;s^05Y!<rcPNG3lXMF1I2&s03Fd=7glLR(lGke%<H?M4I^((l%6!)@mTbY&fQXw= zZY3mU&&z8#VVOy%fU?t}S!4{)85X87(y9N6Q80E%9RG6$b4e$84$?_xq?61@ry~Ph ztVazy*@ec~bx0?Ow71^S{tRAqG9E!lr*}JBLDuczd~a9$P8#X-SXrWOdl$vMZ{fC( zPG=TQg3!g<Lr7Za-D&=(Om#|D@TKeYuK6F>J|&bdOvlY6on)qn^2Z-_unuv^#~uCf zq5u=j4su%0R*mAFw_piPf_<v#ZFM_anCCB;Rb%E1m`yN<54N7^l#iF+gK<ohX4Ncz zYftS*RZhK;83mKaBb{Vs5^>$fx?7tKi{?)rU}qzp2Ap%Y&RY}7Z{N+OG195-MSH8^ zcsOt4g}VjmB(K*j#*-Q8)X2%*s?G`I+ooe_K*W7r?P9It9>yC!!t*oI$)TN{^?8>f zyzOP2gLJB}<O5vxisvrFF_(0b=OCSAMmouibUMGaj5VfJB0Cp?y9Mc#xV?;ZW8bw* zEsBhEx^T`0xu3^!UuWDF(#f`OCX9meeEv<0Bc1M#y94b8`tuLXg8z1>y+1P5DMi7T zuG84Hzu@X)?WcaXa8DwgWTuGn7i{QY{oF=-!c#C_CS-ywI+4@ruH6KA$}T)$nFQ;a z=53vsFMvObwbPh617;JfU->-N^lKjc{x*zbqBPa(`CAJQ@!`e#A~Ommk4HMm%p~HL zu5q`ny6nqyKf|(+PPG?0Tc0RiJoGVM7A2iZR<O6e2yy2l0`LGxI?3xbi}7SeI=P>4 zv5xc0&TFqkbwI>b`{88W+S-+0al`L?kxobZE7sSg1NndD@lWHV)9myQu(owRo;VeA zNhf&@(n)5dlgvn`w)>*3A<v@Nnj1JT>14kv*19x#9BUMTjC7h(?-6XM9mtz{<9bOa zxB81<-sKoR;wHwCPIu?0Ly&g=sb|lF{_142+nw1{4`wU)(sk-s<0^~^D9SgK(RGrU zBFdk?++$cax&-f80}mWbu%S_(p~J>_p1cw}f=RGQpDfm2fs9YT{zrSe%^5J8V0Rn1 zT9wFB{K8O0%VnZ8?f*Dhzvn5-=fxs33MP+7I?2o=;=a842Agh_<(*GCYPqCSiIcD3 zo=<7s?L8ihNvFi1`w&&NIA7TayDaG>uh%TblNsq0Jo^U}YG0Ud5@i4p7qsgGjLBDw zU(17gKk4M2<t7{{$NA64I0xy}*7GFfTw0yyxr-$vo#Z)4Cz+8>G9#TPc@?!D3tY#1 zcH_LHQ|;g)*6i!9v#L#ykxsRb?SQ5`61dku+!oTQ=>D>><$Vp_W16m$@^mYleiOwT zP0+iOl08$M<|z2mbutW2gXm4c{MG{8Yp6TPOcCYZ()TR9bqMFvCVOddOt2%%??IOE z0^Aj_geJjW!D|>bsSrPZ<(u|)n=@cG!G?6TvzkWb<Hk$hwKyh9lcU2oX!NZBcdm=f zD40AR=_E6ghzr>I5Ng#f$aCGrQjty(ORqx09PJ^h!8tWXIu*)(5?)^j;}e(QZb3T9 z>otq<WJWrfcHf1&gY)o*@z`}h#1%hx4K}XP#!JC+kxqxatZ+LdhOb?Wot$)X__ht2 zC70w$6)~4|lII|uWJWs4jCA_2E5Mp#$O5(|7mi0dT`QEwdSdKhX6%RCLONABv<y5h z6y!m-aJ{5cf;9}{hL+%`oiLZW)6o$#;8IS1UgK?^zuhS$XQn#MRq&<j^uGQlIBkmJ z?{14vXX01DGE+qP`xdsh?*3AkH}w;r!~}D-bF-c*Rh(C8`b&FjO@g)f?rWWDDb0sA z!ne_!0ka7<(Jila>)Ke}Z{#yAj)~G#za3;f7*U*e_z!c9g305NPBJrzxbj^+tTVfp z;NI{>`)|@|#!4q^`n;mN#%(Mg>Eu1#&bo4648P%nijhw8dd*@ynUPMeUtFx|E%R~9 zbo}%PBJOQTCu{k`1$nkx*a1nW#9`lH(diO=*dCmNbZWl&DXh{y1s@!Pxulak2k9g; z(n)5d(|_(otqoUCVv89b$VsPTXA-R2S07}B%OE42OcySJt6dqs+Y7gabc*mB2<|1T z^T<CKM>?H;vj8gO59bG8dH&U@s#m5u%~SBD>x4IZ@p`pa{a(F?HZ*l7nJJ?Db#AvU z_pa0e^=)aR7RLnZylO+j;cH#g0|E6hSFronJq_kc1=V+1D{IW00ka8ad)U_SHcLU( z;Z`Lrj)~G_JzmQ2B)otc@Bx`oFnK)ENoFQ0Ywj}%2TL|p-#n?U<&sYEg{mg(J~lyp zQUL$zPCB)^#1BqzTdt<eYp*fVNnWp6j3+bF$!qeK1phZ#)MVeTS}uq<$30yWu5Wj< zEQ#!*G16&pHU~?i?ZXY*dLbj7;$rq#41ac|bt;Rwq?0@c=_E7KNoJ%|P>MT?Z5XCH z|L&-bM><X3@xZVurMqfP@1QZ#>2vNT>h(4o)Y}J<kxq}RrmH<mPgk2Z!)+m*_GQgh z?$MN;YD%Z>e|75OpQ%ps6@1A$bzHqnE!3>7Hngsj&J<DptZ7}+K3^H7nyTX$JD6ab z`di8^v@fA%EnWq41zY>DZ9<pouPp}(#B0o)0ka7<<<hT&Ld#!U+GfKzCQ1{Ke@BAz z&R3Q)0mzJk$>WhuGBb&|;7@i54)r5cZ}B)E(&<y3Ic00!Y_2*cpkkzx>$bGC@WV-J zmNob#4qYdGy=E~UmQZJ;Q@3Zy2{%e^x8w|Ot>uD<>+e%Kp-SrNgDZ-*(irJ<>W8=G z)1o1UO#_jUPJ?D|w<OOvSgvn1%++<$=g@W1nXZ%0NT+^1KO4e3xu``0T4>{uPAUDs z;907M>h>IWAJS>|)>>+OREoOm6f)AOv+F+fLbX2X^&Yq_q*JHhEamvzMe4l%#=knv z49Qfd1q!}&oq7+P3a*E?7|xeyrwvUy$xIRDzqn)~>|J`%5PSo_H^T%QzG*Zp`u)`~ zXJ$3b73_j#FtGBjY+ca=jhQoGHo?AD=?i0veJ~_f#5g8OlTB;F`O>p8KZeXGm^>co zBr}tU%U|6D(H|6cYbtg{(y7$uanQKgW5bxZx*8*$YX3@tvoR+OqwJe&jC7LMYZl|l zjC6ABJptMczh}4>)JDq%5!dqiL~t$P%DyOA8qz6X{S+u$x+CkjOxJ1gmT6G+acSn| zgSn)WJO}9{Gtx<Bq|;0%1Du@GTy>j^bC6C~Q=3D?{8tti`<5Cbo$8F74IT3QHXNOS z>m{8$PNhJr=_Of(8Mw`)Q*_<Q@FrJ^p;AKIzdCKrm#Iz*6@2MB)#)@19QS`VbRLdF zlTI>IMEQMoPlCkSE^K#511*jT7M^E3<jfYrdfmo@lS#0iA59Q;A(kB%cN8&az-)qr zb{q+3UI#L-#bvZyCQ1|6&IE(v^Rve($c%!?<B?7>Gl{sx*~h_~q2cVyjq+M9>6E|U zMA#qW!@du%sWH;Y@9<>UF~^a0sDZl$=_Ie$EXI===~VviB<SMc$(&nbM*tCb^WbEt zzBPsgm%?(9PUhQF;i>%?w)7x&1nN%Z&rO5jo~>BTrkG1Q$#alSG9#U2MmjD0&<uLI zJhIe&gL9Bh6)yLN^xs<!WN(a}mvpM;lmfGwhOx-Y`q$?^nWsVC?#<YS8@SD+Q=ZtV z(0SnvL-bhv>vI>PGu3I4f-hYsZ0c)Y=ZD0ZxC#2fPG<_kjO5;dmMgBg;rLiA4HHb= z|2%Eev}^zau$!0!yLfd?+O)|p)WQRbYRsGgvkB%IIxQh^@C)^2C5&UDG=+w5EjM-B z3)P`LGNWMfc%+leOd>A!_w_W-R(4RSG9D;Nr_+zJTRxr43C)J0?xa%#HNvuTXdqO( zS4U%{ll&f-#dtC!oxWDNl~DHlUA1;MJm7<fYj<E)Lb*Hp)RQx@ETmJujeeHPd)(FV z5R4<8PWxZ7^m)EY%{vJh=_JoVI?0T5k{Ri=Av!NBQ1*@*UkcA#Nhf|&VRc_*fkg3) zU(#t?++fweekg3VucyUPcN#JCfqMLvJCs?7+d?`uy6~f1-kT9nW0U@fpRYwT)oHPU zFI}hVQT||gdsQ`9n`lFmPBK$O`BQjq0N35>cu!rY^*g=c<AE8fQ(s-D4drt|cHh?O zg>$-2GP8;C?sihZbJbYYxL4OHE!i1H%<HQ<p3-%ab4e$ekxr|;ydfs%M72!|U8gzO zeBt%&<?3gHu2a&5++ZuIst+3II?3xLon%Hj?OFL=tvh>?dPF>^m2~<ZX9qzqN~vd# zV%H{}CN;<n`Oj`o*yDwzBAp5yihxP0O_udLkdaRE9Hf)XNGF+*PK!LtCQKXZ4kt_N zI(-j5Yx(fU9Tq>tgFESD?p*;!k6o>{E`W@5dOx)TgieW4+jPKf!GDTU*Wv`+@saAF zb+P~Z6>#p-nd-CzbN|uF=hGOd74^X4uoQ<Son)pk%=mVB3@mO|!t$&Ho+mNE%5)h6 z%xIrb_63&EB-o8}qao+e6A3M6#cIr)0ka9_Gjt#X^u1NCW(vkJv8R{0F#^sHFeQAR zkIX2TJRa#JGn0t>RB;UWZ?2K>?Y~l5E_J8CwPPUp>(PVjrkB?kb*F_7$3Wv#CX1m1 z?iTY!uDo7z28?tnIiM$WZ89M3&1~G$LBy?U(jU5otWQ`!56eY5C3PGFt<G5u9~L7c zopRip0InS;8ca!;OFGH(l1?%son%HjwaNWM-RtBIFAw8x5v~1G6tB-A@aEhv^>zjP z=s`MdR+1s5dCr6nKXARI)7o|O;LOUg2K#TgeWX*<OGBWNB|=@gR{!ZiDMO|@Eya2N z(J8Uw64*UvqQQ2(mNqo$Br}C!Mo@ue&~n>4!`V4l8YWml$5hxq`=VjUpyHS-Sowy_ z;rHqf2A3-M*J^VH%qG~DQOh7ZKW^C48snHKO_64)U|D&`u(K&LqhRuQq?61{BCeD6 zOOaR0ZW?}$#Lh-K)eJYo>UC*`OIgcmjC68Xw-mZWnGJXLV#gw#<n@}xcrqiMcAS|9 zJ(jI8{5e%!%LNhlsNDj{{`!U?bQkVsq*F|#C9u%96zkFh8R^vT-BNJs6u}(#V=n0= z&p|rLjC7J2>C|II7pV8{m^!s5&OtiW+&>y>f0(4UJ6}a(q|;nj1wZoLF?h#T))?tj z_}WsqcQl$!^~Y@?o$6~pBWZM~reXSB{l4PHN}1}kOu?6au*2hW`kGEKc>@})pF8PH z5#{gDahzqw;l>c0s_XRr$relN5*4ArBHVP7h--A>vSm+;Vvw>rQe)-}m`$(?Wi1Cx zHHtys-WbP3X+{_9XmMIx44Nk+GYTe;M>@&OB;o@0@3XYGV=z_xERuBkSaPAI#L!xh za}jn=(#iOypCx~h7BKmTu9N&8n8kQ9Bb^RyvNw#GS{TaAtf7quB5vl=?Fm7rgTd|u zmWFh?STfXdaLFCD#te)jo#LxJw;Y}B36<9)Bc0?qvTIyXWJWs4jC7j&sSNA<EdsJt ztg7XaPTyO3vD7bRp<-TLr<!S#)gdq2z(Mgq4~$im9j(5rM`qN5!CP=!NT=cjDkl7% z(*gRPto8R`XR48@PG%hMADwn?35CRhg|r7P;LxO#%oK(h1EV6raZ@1d27?yI1l!c6 zFnD%%g5t5*5ln*BEnXaIJbR~3Gw0KoIRj=B?0wE)=zSt9lpBX}Oq3?pBMSP4{ZbPb zA~Ommk4HMm%p~G2euxE&OExH;r?8ewI*q#&1xBY_Q1TNV07<829r8ipN}<s75AGK8 zMXtPFa|VobYLf6-ZBxMsinPPBfQZ|)*B<U~exZ(^f+ZxKYK{(prJ-HbcHS6AI?b*X z3uAMwQWK5HNGEyT>>5`TnUPL1Bb`cCu_a8{UI&hf%fO^lw~nnW^`6v&Qj;obW8p5Y zy^D$UVch#%(D-5n?Z0tuMM+H_2p30QP!s>)Hj_?o$GO1OBE`UeSoOa;t*w`-PN_KF zKRPvElmvZFn$=&uacI&>W(vcM4lk#|#!DmA@?Lo0V1k`oGYe{Lh*3Rm$6&5tu|4NN zj`vqAUJLSS%$xzU3AQ(F8dS<%Qaw5k<CrMTQ}1NRo8+MmHzP9&CXYut$;>3;%$t(| zb_S~T?nY_3q|?ksGhj^d#_G}jcrYfNwpymZs%A;5UjptHq?5c}vlvfiq|@i~1EBHQ zM73K#EEkBlv)M*~wWN>wejJvIbQ;_*30lNHNf@&q8R=Ae?=<kL+cTlR5p(Uee~Kc{ zK|0Bdbdp)P$Q?B8y*lw&WoWttcMH;~$$?<laI-ih1#yj$PMd}<gqsucs|U{GdP%3# zc4nwKIVB-o#qA@V^3O8Cz(ohuv|*M1>U5$>raCRhb^N1KP_OlHz2-#2;a9i`q?61P zh8af^w!-JV>kKO`CA2su*s7Jg;riE$1}{qi%oS|)(F4%6+egEcjd?U?&Vbnj8#-qn z6wPtO@cSgjF;SY!MGim(zuShBR%AxO<nc%+nVCeKuaovTt-xD`T4%Adkxs=-JD}j5 zG{cTEcxq2NIj!9cEyK)))LW%BMmovsHH-0NMmnWw->57ze6b<@F@BN-5!ZIi8n6^O zWl%1b(-`SA;q7{8U$p=`J{1}16zjhcl3Pcx2j?)Cbdu*Fon%Hj$&7URJbME87JRD? z+KO|KPCZ(rfY0)Es*3~e@}!eTx9#xge+WD8s3>}9fv<oR3nHK(iUmbP>|&SAjTIF; zRxH?i?|l_fR1^eJ>?>Hn-W3%l_TGCzSH<4Thh5(!_dP@2@f`LX{`h|1y~$+r+ndbn zxU=UGDO{gl%R`-96V|g5iB%!0C_fg|$#>CuwsllPa_R&8)#-WHY;{UB@R!^>@k1Sa zwj;!p<%b}3lFT5cKlt_zR@izV%=pQt1_aA2a)8zMoeKB=@M>ZbtjsmWI_;Sa?>@Qf z%=`~#5iBL}7;}C%7G9Srq{o4nn)%L0+3u+6FxZ*1P{GvpP$!j{MBLyv2id%C)1jwR z2|X8es+?;tyXH0;%1<n-Gt?>Q(l!=RqYvaN#NTeIlN_&Ew5Pr=s8eVCABQEC?*ZQ& zxQa}~)qJ{@J^nHl+Fz)lGt_D6%1vz0gynG9jWg8AVN()2`E&(L{lynvsgvwi>Li)e zNix)F%8ET~^~iOH;>z*%P^aBfQrO{&{-ntO{*gzW{P!oZMzd!?k4gN$QKx*bB3ZYl zW=I^#b5W-jw>PrRevP0)xjKJ!a_XI}PHPSPC3WK4yyerZ*nnC?^rlfKl^MkJe=<!A zh-~&mt67GBw+DiqO5SDEzuVA8I`C^QCc&C)cPIO6t<i43Z=^HxKbS?ZM}J0=)1S;* zz9T#i#MDf#)qvbwVb%_&a~3L?+8*kpGLwkARPeg-VWs`rm}~sR8FkwGysgpo&K2#W z8^8LCI>pSsbuhn|{>bU@-a12_)bW}{dn!YnPTah1yty(`Yn5l9p36jBe4`lS<L$My zAfEv`L!GMC$&og+@KxiZd7Pn6)v6p%E7ZM$Hl_m4MV-_>P$!k4PAWs4hClFu8T!|_ zSMK%I+e4kgzy`{;-LLJ~*GFfllgq(@+Gv)kjo!=|>a=L%E6umg4b7$=KNi&KSnD|f z>uMXAx!vHuI#n8&txoF<{3Uf-^60I$bh;HAoJA*<8N~Fz{&hjK8Iz&;4wE{y>yfOP zHl=B=6QoY(zC~!;B3EgqOO5qIHH%!8Sp;*OQC%CEx<!lJ!s9?p&9H)fHHV0G+Vx|c zg$kzTqE0F^Vca>h7Us2ATV~?dQc$PlYKOEUGcRipA$2PD;-=Oo;*C}$Me3xE*DTso z8R}Hk-K-tiwO%{!C3Q;QutTfVvxk=7D0RBq;+d8>;DYf$oYZNLrw#Lr_0aNX(MjzC zby6AXq%zd${fsqapE)OM(!ZZRUeu{>VnI^=og-UNnk$An{psn=dUd(0?N}>yYIik+ z<y#)3t$o9f4|RH8>4J88qb<`~NS!(k&sL}Px=dMhN)Iu!qd})r^G+PBH;vUvWd<?* ztApa1d0{!@6o09c^`ZsrX8LF2b}N2JCJ|RJ=PagO4<HM7@lS&JAIu`y?Zs2r>oKQ| zT~l}*>NIH63>MYGg}gh&8S13AhdQYYb;=hU$p&@ILz-Lj%Y>*COo(M|POLNjTqbqO z5wnbiU1kAuJ4v0?@uE&DL!GXK#j<-*V~u;q^J!p0yZVC{Gk-HB??(048CIvscUCdW z1{YY=nlr3Uz6TQ7@5ZUbqbJX`(f<qvwGaD$Fw{wnL!FxRF3cS77hu=#OPy-&ZN%Ko z2G%B6>U1DxE2}=M2>BsyTH)`j!SLOb!X7TaNhT-o<3pY5?^v!s4RKG}c$2(AW&GG| zb=tt&%Tk?!hi+j5KAj+IpAFKRMx9h<0G@H8{W><G<qOh$SEwEbf*I#8XH}QlLwKC5 zPA^`>Fz5M&pl1hu=w=b8GK*j%M@O-k>N()iFdheDYB~*F$hv*W3rqWR7AlyUi#n;y zB;q;;E@cZm^1{YtvN}DPWM-$D{~|X_N}cko-oSPqd_dx__R{-^7rE+q&HrGi6a2TH zMb&yqyzlU7U?T2iXcD_=?FMU8__U%<@pLnbZ#Wsw181mHn@(F<;}K0D>^RRwoz#Bq zb*@jYG9Rdu%221g$A+>F3sz}AmPnnR6pCO?qli{AQ!aKrPwi%hJGj88I=%Jw`TMFr z>N3wB7SW|6e9py>1$FX#w28G@oIp0c9Qb#!i=UjWPD#AIEIQTrdYI)aR~zz8mO81- z06Zi9Y6?3M)(lSelsZj#w~cLF*BwUomO5SV+rZWx84f>zAG%rOs>~wT?BnZM@iy(? z>p&g{Vro8B+raki>IFYLaTY3=nu|KA%p~G&CTw9pD))w+!=+BIUhif#m$w7A$DQ={ zqD5T);)ht9t&Q~O$Vi>k@tQ@P%220LYZ>cUxDo8?&!>TjxTOymTh(p=gjJS0)pI(` zdi+X)KErsGK%Ii`GxqgkG=zzYg*vHy*z2(dgUV1Rm7z{OCaz)A1FW?pVN$0h*SE5w zGn|ZZr=?CsR~=<zBZmS#!^g|tSA${Yfdg#L(dD4c<GH9)+sq^EV|Q=JGfC>iW@M{V zGH)-7PL@OaSm3K9IK7PT2e3M+%m6%tE!oD>B6on*=<a$P2)1+oI<{otLHOE-e+_98 z%=h;ScD%qbC@yZPGyj8G1oLu9V7_1X!opFF^;{5B)B4bAR_sYCgtp@>R4}zY)JbI~ z5obFzky&3)g-t`{R{ZA9jjVsnUKstlquw6sL^5`;Po=iO%IKat!|J4t*DTso8S2#R zn8tcd+y>7E@M&NoZqA8Rb}ECxxm;WwtWJI{_puU1Kf{)*ydt1Z?R<8zOBL_I-5xv_ zbyE94om7T8sSI_>eeF1FRO}o%ew6oHPX99)Qe4ik7%z7S|HAwA7i`YSZLEslVYv2$ zj~8_cyA`iLt;+(-FY#Q|X)C0%Ex%U5>i7YFtCJ-nTb(xYezWNG=k69}S!98?NqkL5 zom6H3o>BMGI@Y<|3#c@vn;r*(`MIuOd%ZtFt&V)ZViGLZ<XBeC`~xm|G}4**AIu`y zw-qZ`&tmW3YCj$aVrm-Hif3Pr{s$hwS*T!Yd#IDjOd`(zioV$O{SOv(<zE&>2v+o` znUQjDq101;w*=}`w?GmLJ^2)d#PK~K>ZFd>EOJ$bI`uoRSGMcVpkI%^dM*=j9sE+5 z)1R+kc*3U;b!vEa3wt=P06pB1R|M24VgGveW32-n+lS|(PHG>hlgdyhm7z}aPu*v4 zwlsr@8N3pqPDe}KV`r16gJ&M8Q^ws@>{OvIkmDmCFY45+)+E-pfCHT`ZVX19%5C4v zMwYw@wbu9ltCJxrTb(u;_)DJIRbLUtnm^7>9n<^k-Jwn@Gl=PDO~$dMg`8-@2!8h; z2=-sa-mL2{SDNX<7Z{UZcgMA5!@Ud9xYZ4GX8s4W2zKn*5Z0@!E4}}T$AOrdFCRi# z=BI)*L_GF6R4}zY)JbI~5!dllcUIcHAl;RVf0d0oO*k`zInH;cK1cYiW2n=*W0RQs z8%NrIO{mULCw07L(VogsrzVL@*|cl<>Fg1F3Ymy|)@Tv)y;_Jqyvfx;od!P*W4GQ` zqVIq6DMX#NejLTh)htDOMDbi3{m)=f`#_ykhB~RNl*lboCY>3IY=X2Kz4iY_or;dS z%sQ7k0b8v3v0!!j?@S15U(1y~5Epn*ryghQSn*XwsB1Vs7Sw6a=_nQ*YEQqW_xr0; znYe6q+RVq1MW<HBtyzxr!Zc`u)JbIq;2HThKhvInC`SFBbkPq11WUC)qMhDaiiUgf z1;!-U#Hcmekv(N-m5%jwX8s4W2xb##(c0@j+!MKh$AOrdKXndk0h@j3)bX5!3Z}M) zI;qSg;@%ER(T*~2+TSWj&qbX|J<=Z-*4m4@TT7i5FMhA>yP*Fdb9t$gI$pDAPi3f6 zN_<T=KgpZ!Dj;>Lvf7VTKUj{Y59CvbIt8TJu>RkGHWe3DP^VJ8?rL+Bs?eOlQYW<! z)JbKilgd!1Q3(gwt$<gsHeVK<Zmnm5>kM>LyPo>7piYtD30nNaVl??XA1~_Eq+x!e z-^dblizapYQMNc+)5L==-X?VlT%N5?TMYaqs}sLOmK0W!7MUY;Qkg+a|Is0)fFcup z=!<bur<V4+jgc<pXpK(dZUhl$mFZ5p=)YsM6zb`RZ~h0f2$p$!UO=&}6=~bqJPvj8 zxt46Km7@}E-<dPiNo@~xQW@%WDeSs&s%Lo`Sc-p@jXG(gf{krX=|33MkKc8O)v4$D zO9%VuKkoPNI^P4v3w6}-qE0G9o$jrftL4%kz}n|FpF$>bi*)FsZF8?d{Yp!nCJ$(p z*7ralO)oC1Q*>qx<KdSzX_u-}C$$gMNoA;$%221wJhALL$xH2e@_w;8eYrG}{hC#P z);P-hMV)+FlqQqcm!$p~QYY{6Hc%w682xU|7hbGRbu0R6z4n!)i{hnD!`Ec1(^dn2 zsXCqc`b7)z7@;?fiyc3F$qZupzxBTokk<H?*4m!G9U$1F?iS;)S-Z5pPx+_cBv|hT zwaA&~i?n8^o9fK`4`va}N1H>mU$NTEWjqeV)O`5To47~DYG3zo7Alz99_pkrlZcC7 zWlg%(-lX-|&d)MYr=(4Djic`z*N$ZJ1sZko8@<2oHqVFJ;J*ChBXyGFHH-Gt_W*V3 z+vd9Q_`u1U!)yKx0uyoVj_Cio<&wK*$jR9)!Qv`?OU*gCAj#~(8CIumCyu1`yYH+W za~!HO8~qP&Mv?tWog|YwNrpN-%j>H@&B3Il9pa}@sFSx>PH4Gxqn1P8PXC`yx5oC@ z4$pd_Ri4jTpy>C*&NrIH>a@1eiysT>6u)XfK-Dgvv@z9(|6S~&H)N~RHa?ClI+c%p zs}*qlstwPglgbRhGxAP9t=);Zsnu*LbxL`-QrmobhqiB;xG`A7IUgFX6-rsCZA;=+ z!u$_r5v*C)0@~@@W^G?Mj{`9ccDovA`y%7DGb=a?6-;dpbyAs0#QA@S)rvGo*4lUB zZx8CUbk8oW^@?NKm%jY;0d?wo@2VEH+@h^mDs@uFYZmRP40U>(v05A2F<zT%#ixOZ zxSjqxG~*i3t`?R$z3cZ>yZ4_9c{NDtv~+_tE57h|+UP7gsePbMDnp%AhB~#cw3cl5 z{-xy&9Hbu$>h$}P2Z?gAXGd+hVpyFPY%Il^H@Kk92$wqf?e4<P$AoK>F7V?+od$Sc z)CT$(SaL<F)AlXd>a<-~Bdbo8ZOp7`$yo<k$Z)-BtWGL3i0SXWQGY1?s9DCxu2QEK zBjz#ZA<ksb1F6&H<<nWSJ?%(`c|m%6W|6Bhi(qfqX!hsmH)D>4JPyRvxQ&_2)<^r1 zA&WQ*6->=Vom6HLaYODzFrSvC$fNsGrxpblviJ9{8?R50I-P2^lx;i?#tF5hPU?8g zqCJ(NP7BJ%vT~_AjKw?gX<#C5q}^hc<9a9=-Da@PusXHxx{93}P!!&m;S8(OPGcgw zYB)n`)aSWaozy;1Cza*VV+{tCp-%U@6=HSL9of({sgvKI2JG6!PufC%sZ*IBTUf?! ze-g2qk2g@XxBqAgdpz+m37N@{4|OV>w4AlPGc&D7&tZS7)2&_E>a>F&UzY0h`@v?m zI`cC5b$XcIH0q=>1MrORQxe(v=AVhvqTYHO2<Gn}&s>}xq3KAe)3Bxs*!^Ec;Z=no zJ<crRRAv$E+=aO;_^>UMY0Tq5OpWL9NVapP3!EXGg$kzTqE0F^iMTQGactZ|XQ(z- z>NNS$O4hQZ4P;nJooaclXLS$0B;R)T)BA`Qx$1b$|6r(7ROou<^E{JOJIJSjiMXNK z2G*jzu1-9kR@ABM{7vi>4TJuLI76L+H*R62>bHb88+b12r1pzCsVt8kYcQw`b(-fk zn5}*qt&JNebsG3~7R#~ETN{5vE_PnlyIIC1ci81Ab=p*E4?DN9D;#{ob5W;3t2VKU z7q^gK=Z5~(>1#^1I_>1gmqn-O-iH}%A~2wv)JbIq;2Bf?+s7suT0?k!sgw7@&CH=l zA1FhmPR_FvSVpC>Fx;IhVHUY6vj`UHk-$9eb_Sn%JPyRv4AOHS7zcoRWzIqcQ*-}! zu~YgmiMWk#l3Dll1E746)Tw%loy?~|2zVTkd#6UL4zP88LGZ4N)JYw$S+u7z)X6p% zV-X{Q;Bb?{`tdOlx2Gm!$?J#1B`2xV?)HpTD!dh}19_D|oeGp?Y~-C-Xj_%%qE2cb zsFTX_=&|}Tt;`YXRJ53x4LWc!t#U7^Q~KI1Y*PO5#s|q#CwBD+yPab+%-GDwi`B{d z&H;A2-ztb2Ds`e;j<99l%R*>ZsZ(*5txmi6@nz9zL5_XQyW?hXoy7M8Se;a60Fe^2 zh53Ko4U^mOGYJsvW|aiC`&$}R0J#-+t`g5SPB;k`hh}=5S;VQ#B3RevE7`X}2cTvk zj{`9^t6nc-S2`Ys8@`-{3Z~}%uTDxICK1<V;cDhy_b@DNEVtrwUvFT&f2Kge)BJ2S zTEva1y`3G4-U-LW7a;M1spB>OgP~5=?izD$zYA81{R$Ito$XUuX5Hh^>lvRytWLRx z?PVLDeS-x_ydt1Z6YK9}qmDd)Nt90^>ZJCII;jkGQW@&BIqevW?s|_jS|hjOAM_vn zN&ip`4qxZ}`s;rN!!~Uz+YosStWNN=IMm5^c|7a4|1q4~!E>=X1>HHsT2D-X$K!|m ztxj+vTb*|EKC<Xkzxo!oG9UxmMDR5obyArDc!sC`EZY-TU&DhoJ@q&c>_cKadvrPz zPFCh8;wHi79ACfy{($wnCOR|!gINS~{IG;=JO2@E>NeHmKuk@e>9Ndi)HlfM%2}vj zYI~@Y%1k28H}_(;-{Birs_`#;A_N=NY!x$J`2e|(gy;-)a+<DxS2*k?9392?fT)u? zUbDzm8S3;T;1E0b;uZK2J`D`xBKEU&(Z66e<5P$_dFI%{d>6RW3gvi3K%L^Atz%mv zbJJ1{crNOs_JKO740Tc&>XhqwI{WP!43iIYjmznO2E*32ciHoU`U6Z}@P1LJ(+^j& zkd*I0FZ1!DPUQ|yWHqklq9^b3T-51t&%G@A&K-yemp7<{p37FJJ-pv6I&Iw@#_o5@ zOY3Tb^`=oLl^K9%1Uwnd9!2G+1>5p#8X(x3)7{wEkp=1CkMb+vr!$(dTk#$=X#ziV zvxrlfMX=Ye`Y^a$fLhM;I1p3Q^>s%!e~>$^vYN9{!PH#TNo6Jxm$9o8yBX<5%ZSI; zpiX`n1K4dVSK22*-ciuReIgst%Zb(v>#g^JI;rC|i}qB8Iz^@|W!1*I(1bR88kmS% z*>Vvpv9~ZSxsOjF>QwJ`7<(66l{(+#Q;0e}NFT*ko$#hVhx1(2N$ta4=eiQge4tJ$ zL!B;;yvOXDY=uYr`s;b9Q|ot^*nt|Sq5czIiBPB9rVv(pe*t<sm(<C=sssC2yeQq< zSL)<jF`8Yx<v{J3yg?=6O13)f<;R>wr&sfBSXc#5nt!g;No5A$88e+Tw5Ih-(B&sX z^+N^090%>!%KY)B1FfV^(N|-%IGeK6-M_IOXBKfPvk2Cp|7GpJC?6UU#^XRtjbrdm z?bWX`v}`bEp@ONosFTV}BJS*%t=cgsAKLFBze0~X-O^8x?<SO_ks0!if{-C^HP7P3 z=_PSB8Ff;}YZmRP40YPxq!xQw+=s6G!l#glxJ$Llu?J%+&;rf+=?ryBuAP(3o=~42 z50pAp9(zwa;NnjkRF^ubeV|S%L!DHHIu-eo!ji1s!ix{QU(_jO)Ot4hXAauBrqpS0 zy+kb<O3<q5{Nod-{}~La%hCh1bT8U@jnrw}%o5DJtT3$}BXvr;m90+uczaoN;+N|h zr<bB>gQQL>GXT%nUf^m#|Ep!_j!sgiLTMJ`(n00v-5T<ag2!`ekxgwX(*s$)0#=zt zv^TkY6XTVfm1*-Hjr1Xcn3^SPUKz`DsZ6W*a~3L?nu|KA%!Jc_&6*U~r!^yo)am2< zxkk4Vezba^)am@d19gw@_o2@F`5q8;Qpal+?WqiPnl@#wHmhG1`s;wyN!uEt*;#5* zdt0f~o#bX|H|jN`KfduP#Ol=fXC33AklJ)?0jZPP2kN9U)JbKi(~A-@?8|XSTD88^ zsZPHU?CZ~h^pm*r606f~LmA>}=S`DONS#U+vWC^0ic_DbQl}S_{Im%!-n8f>sne<Z z+3K{PyYc^YDs^_f_NVoDedxH@@xzzQAf|ux%Nj=aVzae&My?$QHsYuU8U3(<HoPD| z5jP3u+G-rBy3SV9-t)T*%>Q5(!M?6pOO`p=YBf&qIMnH9QWSAqWuqnB=L~gH+e4jH zhC03LUX|Fj_t!?>=L;KFr!L=58N)^m(At&dRU%qwvUAVsfG3}#v^p#KnXJ@Fj#ug= z8R}FvWxsJ-_@=ZCMaJm4OtcqMVT$qgwk-i6Wk>7mmSE3ozDd1yc?((IlQYz**@<0g zGv`JJOs~gtZS+69DlYqwI!PvVk_>f9-R%MQCp}1;|BHW{QBJg%Yx76Ksu;D(*ZDO> z)Twi7J8jDFcx~ZP&agW5ihH1??HjG#>dKELSmf@UN9#WEPS6Gq8TWT9{yrmHol^KX zvgnlOr7bf#Z_ui@kvgf&06Zh)*?lc+@GNahl+<be!42Am>Qt+ALh4j++i-1H?i|{& z_q<}6MXt&$f_eA#)Slibsj;g(4#YGp4h+;P_jc0CKI1G@Ff|u-QkhA_efC?fnS3f~ z3ljOZ8+BR}d{n#ivaj}QqtvOY^=s|TtSIf*O{tSQUbARVWvEj=#}nGKPx-az>QbkP zU9M~GHy%z+Y9MubJ;sVT*4#{L4V5~z>YJar94&5am_;YG57bFzsFTW2r{Ksgq@nvs zt=7ts`gl>N`gPhGZ%nwV`2};uP^Z?WifqK8k=m03Qm27ad$XlE_oRjY;>Q=P{}~Kb zy*_I%y>@6v`beFeUS+G(0iK&hr|8vl*vUVyj81FE>CIwwQkemG#*gGl?0tAGk|#@b zib?3s?mY-20T!v#g656c(0uDi*S>r|Wfr+Avj~=()Mjm~P9^&X@Ho_Iktbz22F8*P zgE>Q;)Lhg_WvEl*YMof@&Pej*y40!M&LM0E3nlHuO(9sFf=f<ki*}YKYX?i6)bXND zDnp$-eI~O$%?1)n44(!jv^zK1#AXaXK$62o=?tq=12&tLuH6ti)aMMVlR^Ler1UO1 z;7SC~#p<N?fjX%Sby6AXl;-_ii+;FMi@Pj!T2{9dJ7TSW!PQ#o<X>ztyR~30@%h8Y zi`D7e!35S|p8<}1;KzqLebOJ^dg%ES<C)E4|5m4(AF|cyAa^5+PS<b8GLNy}iEn<X zlgbQY`mg7SVC^eALc)H2-2?=K9HZH{n<ZfOK&g}4q7c?<W)=AJi&q%4h*OzGu%aRD z^sBm_@F71}2gKCOIoXj#eJBHCb8{9dn3{_^smvtex-A&OE;T9*7kf#ahUA^j%H(l} zGx=q8YSv{QJ37_@ra$J_+2Td6I$rZX80s{t-~#5J!ws5$=F`AL+<NaQ_N_~8_<5F3 zE9!KtaSXfob|G8};0$$oQ)LlLv-E)duX!%&r1pzCsSI^e8R~T0su3HyIW_IeRH@Va zU%gn~IyM0(U&_U<M(JfN$EDJ6yPwo)TA7uM{MQ2xcj3o^Iu)A~%f9rvM{M1sP948w ztJ5I^f5|%vYNxJc)o%yEh$Un7rm;Gy%m6&2#_M=??n76o&`#>~<MLb<!bZTK;!>wi zj#F5h#?xWy8L5-XETX-X36ois&_Ph(Esp~+H4#oz*p6f4;Ld%{LIqQEQ74s|MBK;N z*^Ja23*N=0PPv{fWC@mj(C%Pwy*;c>a|84{NXvJEhZCeu>UhnfJ(ZzOHB%DVo?AU2 zbhOl|nf~zBF{Q$wb`3tQs8fqUiL9eB1)BEdRRVRYTsM*38nYAv2T7gOK2Rr>p-w78 zo%$7vU@Ns`<FHn|UtH|kSYnyBCzQNiFLkoj@1jk1nh5n?@bO}GdOgm}s^(n*C9m;Z z)am)I^{mtSI&f?0n7`F&{I6_vO66{3(P>u3ayF&(R!BR*_XDVt$_!%qyB3IM=aTor z<-z<i90*q4Y6eT3#lY2%e~DodY-89UmXUD^98R~^nfV{gBG}HLF>LjvR48lU>Yz^H z3B%c_Ge@CY2G2#E)b>y(m7z`#BB!ug><IYz$gOx@mpSa`@`F(E96yUgolf?NWkF5# zXPGSGmu=&PI_h{)CzYX2eRZ9Fd!&HJWIhc{<Zh2!!<v>k3snnobx@~B+vV&|Ndp~t zn^y$X>8aZimNVG`-%LCgtCQLX>ZCH%NoA;0P?b$=+yxit8^`-aozi-3Wv>nyp~D^C zufP6hFf@D+%Z}I`g)t6Nr)E{Av#6HoP~Ai76jLIB)%v&&J{=tWS0}UezU-cQkjDGS zqSJ=VSY`}(1e@KYPAW41&u}Xn!A$#KLQ{>OT!LV$>yBo>=6!|%BlwpXCc$!C3eg|? z^Aj9$N}W_@5pkcrhOpCtAHl9Ej{`9^W7qd)b8~-%+TNUn3Z~|wPAW5rxTB|surWt7 z;mAOKQ6NIFCuOIz9P8gfth>}{=!AK!VaRi+`*N@zhdQa_HH%!8p-$uKB(V3p-$0LJ zd<vO}`w_K@nV0;5JdJooK%K0H#Ily}3Q@1Ud<s#g3;NgF_N8-CyK6ibbyE94om7T8 zsSI^GJ^Co~oHPO++4A;Kr&VqB9|(LO4HhDGI^HRqxorLqLVEL$4_2r4McS}Fp0@OG z49~^tl(*$d{W-^Xz~5c!#2m8KNz>KHs#BnQUp8v018rs+tv8L;No58x{k;~nU|l!m zrC~q&>v15M?UpKR<8)_Qax!0FOoA<&@4*_aC`hkmwA7jTAIu`yU8kxne3Ub-Sh<xR z2V!c*Jul5p9(AR;Y&i=ROl=Q!QkhA_-Dy^i8J4<G=YjlRt)Nb|*8}VB?nI~6?Wr@Y zPOrS%u|d=G&=~PmEb63=*DTso8S0cadp7g6&QBfkNu7c_&0tnD3ek+Qd<s#g5{Z3S z1Me!dZ~~t~)G54aTNaw4KT4^p)Jg3Fby6AXq%zbgamI1Bw%0C51g<ga6ujdA`!D1y zSWV^{V|5DnSeM;>?nIAV7_2kY=}fs7nvIh?tr;M73feK19hqrM$LOaN|Mz2t&+}!g z6EpCa+&jIW<H8d5xzXC<x(Vu}G6V1o@cODPzF3%A50^R}eZ(}={Nl95cD}%vMBMxy z3$-q>rD(~=Ep%r72eSya!}hG^U@1Z0R^Zy9PT%Wo)q+Nsq>sd<NYqJf4|P%*>U5&n zZmreo67*FRzq<i->NNYF*1b|uS}&S^F@!o%vlW}X$%7jA@;xBxq>dMLQW@$LUZ8>g z12`pU!&Q6=nb6MWN)5Jrwl963$)^x?sx`uey=(`x!5=<_sFQcUpIWhR73iQ_JQu5z z+6U^SGSo?BsMDNlyIK3;kKj)n*BEu0@H>$mO#cE??{ke&rwWTtYBPHlp|2-PohtTP zlU6)`F<QBj)aiP1MfUAu0m>>%o$L!{tJ7g!jjTHHOP2p#ElTbF@GT<hq%wn;{!OoH z7{{IVqFr9~)8jy}amPGJP<J01eUvXSCc!$i8AtNh_oI(jHrJW?AIu_{>E>r+^3Sr= z<^hibF*OrCYLTz){OJANoP`Rewud^Y%p~GQ^sGwk`<I~!^Z4Bjs8hM0r;NS@z3GUX zp*lmI`s`mFkh!%4o!(UHq>k5&{VMMZ>ST3(x_*tV9JOmBb*diIT>G@QD!rB<b(&a_ zq>Wh6nC4$6b$U?0tg-V9e`>u+>ZJCII;jkGQW@%0xWOzoeMc@@>ICl>b?Oq>jlHYv zOoJ*&or2aCB6B?Te|pea>eMLjE8?R+)oZ~hsnet_KH6L7V)Ue=)TvC7Y;`(f;4fL7 z_@OS?e$=?lWvYHyQYXm_z%vd`o@6}dQ-YX(^Fsi^MztcusrNv#;xgZxm<0RNWHISm zYY~~hmRAY$KbS?Zul_s8pMXVVX#|f$ol?UR$;^RqWWy59P$#uL)JbKiQ<Lsp$f}Hq z<iirK4(i0l{Whj&G$eDM^V0{^Y3NFWv4trgsnd<`6|p+0?}5}wz6YpN%{G;dfkU<s zpK}xSTqd+z6MrYbG36=Akvc(VSe<t5_>fv*aucY#f-|g6jegEci(C1SJp9IUu{x>! zN}XiCQYXn!r{$+kkOqMh$g9WW^!8AvJxk+Bu~`jB(JlNe9jnvs4#l-Q8DESar*jsl z{}~LC57ufky7>_Q@{{!c4i>C>o+GLIg034omY?!>v1{d(txiXIds%eqHExYIF8zq{ zRu-L9W&obiJTzFdzfpozF2~OXK(M^U*Qed+Fql~T_tu$7uxiWi2Bf6Mkw;be9>)9+ zW)ZBX>sn*6d-KTDVmuDS)Z8$2G*)qrA(|g&p@OOHp-w6@iMYNG+NXJXO(8+Hd|^YK zMkKjt4XQULi!1R;ggO<eHcDG*$w$gelRBy6HH-FChB{rz(?=T+v4ZTnBXwH!daRaw z<u*BfR_c^|GhXwtZUPq)q)s`PZPt<xKO<+d=%n_6I;jkGQW@%0XkP{5c4UXKRls<C zY^c-Z^^=WHgJ&9RewI3YzjRBxVlGNbOp!W$IpV^s<ED_dU-&psr$#H{v{v(W8Qp!Q zPQ%M&tJ5(9f63}(_og;$ocB7RaZ~iBu{x>DAg155N-?&|J(H~bB&$;er(arwvX1a7 zNa}Ru<}vMQ*P@UwM(U(8i)e4_rQO<%_4y$=PU_@ZDOKxs#2vm1hB~RasFTW2r-^=V zwfYmBA+fU5DaS)c7MN%Qw~I@iCVec;-aLFwJgZ8b)bXNDDnp&BrIcfF_ncvIZ>iHJ z?~1I-c7Ny!Ql|nXYOt*jBjNRFKGj&ATF2LA%g;B3uOnr3Qu{!iRE9dK40XCQV2@_w zcH4Niztm|<>I>~lh6hQ>lsbK_(~QkXwuR20`FOE9eX7xo%}l8P{VPkIlD5@ivuhqB z-4Z7MtxnMuveoH0w<(KGTCb+;XyHmQwXD=hWvG+yx(cl14uHI|Qm4STd0CH#ZK3v8 zx!CQP_E=j`syB>jEOk;D>g3ulT`O9pJyhr*b=rN*qUHVC6$Z8940Td-Q74t5PP@n1 zvRVEeA>n~s?2fc3${M$B3IQkNVppeMbv8PGT{v`cwBAR&s6^^`Q74t5PL-B4V7}kl z!T1kc9VT*J^EPDH+l_}D2l=$#5-h)cV^*t?{#ypQIYXU_-3VlNr$j(_4ylvc2kN9U z)JbKiQ)PcAHq9%JM3m=!V0C(Suq5+nmO`TRFG~Jzv9sISn$1|#96HaEIwfss&n_+* z0~?O<abR^a(B^DOVriICP3pAYKU<wn{6C!@e(J?u{~iD~S0?LCV|7xQ0eDL7ih-=& z)`>8rnbfIhFCP~2dlu9@CUu%!FgH6>E((g3;!2oBuF5Qe1(eLgV(QF>c7(@)n1-)M za<g>vJSba*vrxg*T+~TrCK0#zNiqG$_~t<V?NTSVOEuVu3Nv72gw(0X=awwgPQRBu zOzNbL*DTso8S1n*Pao#xH4C;ck~*z?*^4FbUjnWz`Lv==<Npg~z3-fb*2DO|26c+q z-JN~^who3Q@?0DJ&tOpdK%G>EI;jkGV!s+Oub}J1E-&vFbz1wV9Xl6h4S|!TPPr0$ zv0tUap?+DZ)9VpkSl@=rU_q$VDWuv!_UCao7<OmU-|BR$cD6d5<m1RvoglJ3OD>lT zlPXJ{RAvC4(eF%c7CvPMI41Bj6A<jHy$8El<RHX4Nu3rf`Jv5ea1;*p<J)Poh*OzG zu#LTJ+0=ap!DAth12KhZm8=-~puy#doP`Re=Auq2Gl{s@`fqmU2}}i#@BCl)MhLci zSXt)ZdM~`a%`d%13-)4uJ(i=~Hi*8*&t&5TQ^#xm2Sc5V;l0`X%?IGe13raJ#I*<x zW&f2p2hXQ+bx^0-)q~mm*?%Cm1)o;bDP?+d=5XXT{Qk;wQ75%u)JbKilgd!1fW;G7 zkKB!+=}g`)>eTGlB$mFu54?KH)$!N=42H=$ny}S&`yp&L|M=iyXFs9>yO4Am4&CO* zg4L<CZ7*hdod`~~q)rB!txl(SA6ay2HNPoq=y(w>9^kuttWGL30MF=iu>#B0=_X7l zDRnAeNZ*@$u)xKLo;+8?b-M9b%XEGLKDXNI%=`~#5$yc0Kib&G4<RzQ)G5mTqxSpb z6G(l_b5SR?J=95MsFOLtmSuQ6hWf*$POT>tW#xVE0c$UHYP_&I3vjp&)k39C>UdEn zm7z|BGkUPJ&lafMS?ct4d<Yxb<Rg@O!qq{Y>g^0<b!Iu!RTKHNqD~|1jqFI!A1F0R z>ZJC8I;jkGQW@&Bk1Sw6_k}}dVX4!v>vP%pAB(|mtklUexGD?0b`N^zlRE8soQu`l z^9p8+lRA;e5LVIs47@o!@o#l1-Z)#GPU~u9)hXq)JL^0CBU}uUI;qScraz&=ckNm7 zci6ayUp525in^v~q0UzH##O%kH3@dU+;nYkL0g()C3RAnMZ_ICwL!D$Vohls9tYx+ zZasOCcJV(O`l683NzFx_RE9borW>_8C9P@lPX2W?RwviBx3!jo{=jANPZqH{oxN(q z%JldOQFr(mYP{%I9WUynGSq3lUoF;ct~JehgHIt7x!WQuv3KdYsZmrS)G4-y8=K=< zie~KKQ;0f!b#!3m4?EFCwo)gx57bFzsFTW2r&FI7uxXFCL;pEkW2{bA8R0DR;bGYO zg!k*O{}~JxyN{aT<WIPkz&}1%o&KvaSDTV*Mbm3boxEHturhDo!k2bZCup9nPG@)@ zS*nwL(r&GEj5TfLD0Nbq0eFVbfr(nK<#zN}IjK|sB_GqQ8|9$^b)`<jnQ!Wb+D^1b zy>|NHn?<h5EP`1bJ(ad`nIo+;k;kD<oho%rb6KB{F7LousF*G_7j;sZNyL@Ayf3X) z+q|^4lho<{f3>t}A024%YW?;0P^UJhBQ>{4wzP}5u>*Bd$7>etsSI_BscT?4w&tTN z!lX{VqhD(|7rN2Y?|DT)ojkkk)VzmQpgrnHooa<I)E0O4pxux0TwLtbK2Rr>p-w78 zot|Ew&NiIA3Xn_cRAhC3w(`OwV8f+O`-^wb+}GRExPDS6*wZH9YJwf@QB~^Hu6u^& zu+NH~^N>3AZ=0=7XSo|$bmEuNey7^gmv8wQhrEm_nL$kd&MA|OnLG2)ySMpOSP-mk zYeEh;%1>Wx=G$MBV0W4>CR=?9(0kK@b!Pqtvk2D0A&9ho>q;x^<Z-Ce{C$(jxB3O> zP4R3v)Jbg*by6AX<lCbQxzNIyHW|h5ZoukPa>8%px!;cT+R=VGL!Bn9G8m)dbJN6H zvO1~n0qUeO)ahbmTkU%VH`=$A)ai1mGFt8#Md^!uQm0SL%cn(ds7lxU;8TdzDShCT zfO{*7(x61CliCOBq%zb=WvEk|7Ofb3{|G_zdB0el#)g$=k%NB2sGL$K%e3pp3XL6T z?dDP^>!>91p}Q@e8!UB-4sq2M<#C_|4N|9wPTA^o&cI*tx)VRt^BzmVxvoh+EUA-Z z1~L6to5vdS*{p%8J^7)6U}=f%NlxF5@V;_io-3G3lMSTqvmH>;&{=2Ze=v(+BbO{A zdA9C=p?P^6>g1Yx4LMw8C!De340Tf5L!DHHIt`sOmej4e8ESm#spq0jb(%Yo)yvkw z`KJ6!2h^$K!D7aa7gs^sBYax1I;ro0)JeVvsMClFd(x^8*ay)$_(c^as@RU`#c3ml zodEkJUfr=e)jg3ft@6f?aAH0Gh@wt$W1>?>1RRGk^?5E<C$(Rxlk8XOBpK>d*l&#X zuwe|G-o^Vsoz8#ksM)y20c*q0*!=ZB{l@@?%u8+BU^$#k=jsFs7BX~pfc>du&@Y7_ zOR!*b$L~+O|79uEoImaF-YKbjwmO~XePq$;bn#8(|39f*Wd`6GZPHGYYrmIjyT9?R zE(qrM<2A`!X|TqkTkFgu*oWphVTpG|Z9uJtIy3)+Sp+M8(H$;WoV61<c^rtTiP-B1 zL+TgTu9e^{R4}zY)JbI~5$BZgnY8*EqUCAULeE8=R*b$&tPK&G|FMobL!FwyVG^_| zL8~=@pN*nU>UhnfJ(ZzOZvx+tf<rf?8Lj!&o{6{~H6M@*G1vE5x%Sr?>h#lXCkZ_} zm7Ehl`hz-cxxI*dzT%a3G|Q99)jm)sm7z{5L!F9E=ni%@Oh#=Qzta?T+G5if`X6kO z)^%uaouN*rhxn1Tm5*u9j&g=N*^diKdp_~3c5EFV2kLYv=>%!_G)cQOSpG|vOMSA{ z>4Jg3WOWM9IS#BEFE_4Q#jhM=byAr@O#dMFFz|eDPo6&FdlL|hte*!7N17A2-~6rs zlVB;^W5CL5CK(z~UuWijFpFTj{o`Rk!DMpUp2vZhn&KVfpycz#B!3CcLIqRXL!DG+ z5^?tP=EIWaT}h7>L3%Fg)OgTrXgbV~v>VnzXQ)&E9MhrFrT0d+;XQSRI;rC|i}qB8 zIxSy16HdC_C5ybcI!weRe3}81@BJVX3-ARMbt-gr0(ds92n$PchB_@y9}as;9U>iP z@mw4I&tOpdK%G>EI;jkGs#Y!<I?W4&x)r!4s1s#Tkg=l#45`jPDyY+dW}V<=^Dn9A zi%Ff1{HO?9r`FOsMM$0Y-<bk;#<-C0r{pj9z8{pWP8az&vgkC24u^A<4CD&#e+d7- zDl-6QAL@^X5gY1|*I(M|hYEt#oNa<7{Y}JHR1=e6-nnK%So%s5IHIN=XZ{DX2<D|< zA>On`e<CI2aUiDVxZ5mPnzoIkbl@yhFtt6@No6JxH*3;#$gCYfLXJ{B7j<$=n+$iG zcO$dra>Y=mr!He*g{vRYW^lz&Cw07L(Vogsr+m++!pg31$%IOLf5t@IiQ<#>=hWE1 z+v5BdLe%NF-AE`usRESq;|z65+By*Y-&`eKV|gy>r1pV2sSI^e8S0eDX22x(rr;ag zNpBBzI$M1vOk7eLb_Mflj5@7*7Yxr9YzXiz&*K91KmDKJR;&)kujbU|F6N~Ht5ajg zaq#g-eG+}6``^XRePp&eUE=L!(dm)C*!5YzS}Wg4oSg}sRAvC4v1Y(Qa(}x?Ymked zb%9{+-_DbaF10lKjg53>63j3-owU#OHLYs*+B!4;gINUI<z#?IU0GU*N<0q4)C|4) zh7|a4H|<js&O!xK+e4jHW)g7=i(Dbgoqe^c{di?VothszMxF$9)!K<CiK0$lpYJ6v zThGyw#`CuvbyCM`7VW7Fb-G*pDd`&JlXf5<p9Uu4`jxs(e7FA>U|*DLf;u%Vw4E6C zOd_X-aE3ZnGb|?E5_i?T*o5bzPHG>hlgdyhm7z`zJ)1%&m(9j!D?01#p-zV~s=>si z%ThOmb9GRst~dNiu3wupc3J9laB=B_1E22E>ZeGZb}l?YcD#?$u1yU6t5ePK+3IxJ zz+ZB)n|M<HRI}~m)#m>CA>d-CGJ}}@HnSpNYRd~`@{15X4g}j%Fd7!Ec~9Jb1@T<L z(i$xW`xmz0R|9lr{s*%N)~WPTC|}wG3gzK(Af{&giY4%4lM~RQoP`Rewud^Y%p~GA z9bO3GJ-?DiOPlDqs8d4cNcc440eLrqe*#gb-kWAYW9Jhjbv)k#qE6~~&7wV(p-!${ zXMyp*D)7LI?^l?J8^OY%*uZ*l!MeB3P$%D;Gl0$-4!iF2MF(|i9cY3Ag}tD}0-lRH zsePbMDnp%AhB`G_Hx*{K4ueZgco{&Q7EBI<8F9VfP?J!dp-$KL4u!{e29X!#cpO%z z5)azKkp@GI?Kbt*8CECTnqlzu<~8!=hWu^Jj#IPM>575Bq)yFR&W5zmCxm&(y_3oe zV)`3CTL5zh<$y6QxzQk4gAq%h_DpA((NXT5UXEM^hx3$x-VycmIJ1aTnMJT>GtBVI zu^J5M&f`E#&BMN{!N=$a*N1TyDwvv!I;qSg;%Wykg~ZT;u=8UxJr{LyuN4a&emTI! zEBvx3>QwSlB+NE{CpjPTw-<F%$7>etsSI^`Hfb)TSz5rWIsNopCgS#!x!|(58|>=E zrv`Oe*Czt@WXysnU(Qe`+kvwnrbu0w_>JeHPHG>hlgdyhm7z{|2Tg+SM;AiN9b8$| zDKj(-+O;=<&5oWrL!BBvm<-jXZ6F7h@i^3J&z|0}s+TjlT}tkqu0EIzXG3#>b3?gz zGR@3Zr>h43k~(cXw-mOf06b6OUz1{WQkg+af0O=epnl7iP~!$K;2>Dw>tyh$8w%Ht z@UtnCVD6Uf(0TPxm~w~e%=`~#5iF^|b~qk80}7|`I1p3gHgr3TEi@6Xi2YBfU}}4) zlgdmYuG_gykm%SO7Ppr=P1(N=ik<BMZJSA*KDSy8(~Qkv*-)vII$pDAPi3f6qx|uZ zqkA-TbCo)EuvrS%FD`-Ew|Uh;oi49k23<F9fmVGvL!B0HT?WH^XF~ghQYW<!)JbKi zlgd!1OS1>TYu`f<K%`D>?WRL;zfG`P+#8QNxgUvxaf6FM`Px#aLP62cz~%($^t!)( zd{~{XTg8Lzq;?SeL_YPvJU3gNt{M1C>U5*%Vu;(;2f~W+PZH{+GJ}}@*d{B$qs3@2 zQ@#d+V4b}ZVa?hZ(7#4go-5d<%}H=2eGWY97@#xrKbS?Z`mNT(;>(NRqmjq`uTFzE zz@{NlFufsXsFT_r>ZCH%sYJqBI2$z+;?FnIbFn)0Il3A)UYe}mJi;$zV0AhfzYIRt z9u75b@ojRvP)8jv>ZCH%X<XVuFkV{&Gsg7PbD79(3$al7MiR6U_gSG%7m^q2{~#b0 zo+a=_2XzX$y97qWEQSG}crI2awGY%uWvG+NP^W%Xn!<`ar{E{!s|8l4pCkLghgK<2 zc~4iJp-%HxErNA7D3n~q<FGo#4qF7xpV~oYo8CG@o&0*n>KAS%z=I}z{_dSlMQ5wi zbpwA%of>;IfDUUuLEo)>n5dJ=3}X5lH*N{%ynn!=0{oK>g2mhpf&3qG(2HFf^IXB| z`Spd(Njd4DV{$95GK+{?^R)%om3E+C@5!zBlTn?a+EhCla8ho?)m+p`WvJ6Tb2qs9 z#)>Y^*+4%Q)Twe}I~XzR53JwEt0(HTwrUVe&HD{L#`BK_>ZFbrby6AXbhmC1*ft|C zZTXH*4eHdlUukH4AV0m|k53`$^u1qwh+FGPn^?;;yO8;9q2Yl%w2QvF|DR53AE=Yc zP$!k4PF`P~G>515w5E~wfjYU}2r>pdv8P4e^6fe56#Kg;?5Oz+5<U5z7j+u+A`+_g zya0iFx$dab>$Mf(OqcKQ;(U+4Iz3;Utxh)#{3UfdJ<<U6`dQJ;(cDzjNo58x{WX8( zfoZjEX={6aMg)SHn-vDz&AI6P>3sWZ66{rVAJ9fQ(qI=}Va)$v7QsG$%nL>KInnPm zcpQjNddG1dP<dxQYAV86s9<V)sFTV}BF=eAQ7E(}H%+f5tJC@_t`Ixgo*q8hN^cK! zY8~zX%Y1Xv$<z4Ti#n;}HH-FChC0=pzL8|+ccoR*_%tvPceFhtlV7^iW97LfsFT+J z4{4B8njTuq6~pRuYJPsWUc4afDYnEmIyV^9K2Rr>p-w78o$iddt#txhTC=~bPRBw< zYbTc5)9E>Qzo^q0?^58n>?hQ_&$UCH;#_;d@j)-3bPz8gsMFO)S4om)Ll;H$`m2-u z%4~JI$;XjJr^k<fk!qX%K+CUuFM&F#%m6$i{DK1vPqwDj=F1BO^L-0K%_8>nvxBTo zUj`S4QBQKy;MKA^smvnUJGsIRv=aJPz(-|uI-c$Vt3C75zDcq=skx|=%21~YFWq6I zrvrVIR$m_nR;L&TCveTkN%J+8)v4A6Tj(8cMXy`S>ZFbrby6AXG_yc5sSuK%CfAqM zX+obgax8a2{hw&^=|Y`cJ${nNb|q<Ib*?Pxv^O>%c!j&r{o8pi>ZJC8I;jkGQW@%W zqxlW(&?ako?iKF?tJAGs!?mWrbJDKivO0OsECK!Ie}T(AI76NG^a_QAYcpWYdHxYV zot6%}LPq;oQG<)DPL&d~)#(;@Ba2SISIi_QU94!e3~nmwq%wn;{@e$alQ)?;sl_Z8 zyV0%pl9rQl(XP$-VVXqT(~ajyr?!sN&#tb{%>Q5(!In2&Mrw`EM{if*aUeeFktKJL zxz_pU1y{~O1ykEYom7T8B{w-l_L_3j1-TmPxu{c1_hd4#wmscHnxA=Mb+T?9M^-$v zp%e1(w>Mt&p^g`IQW@&>C+win<4k_KwKksyCUOTZvnM}(6r@i!@``{u1wWiY{EvIn z!9}=YsMEOX>xtK-f;3{eT<p|7P$!k4PAWs4el{)6f@AeXyA1Caby_g^g%<VDKs)W= zieYs+{Olar^Y9NiHsK6)n)AC19GLVGGUv+0Ze_Phr0W!GdjGrBsa0~eI^8z#mt5>N zEUFF7TiVjsd-z!h>ZCG*nEng@HHJ+txoDD?+={1rc7S+&VVgZvZp9C+?*&E5In$Z9 z0`&IGB3ES=!D#&^aCt%jdg?2W12Hul`m~4Y?_6k?`<#UerskqfDl>_=y^}ga;_!U5 zfIF|0sME$3E#bcgd1&*Kax1>0K?8VU>p<78<x`D1spB={u_*5g>eRfc{xr{Hg=mlW zypl5!H{!B8><uhR7l!buL7leTt_35l{b-kSyb_^Kp&f(3u6H4te=z^pVs%pcMV(ZJ zI;jkGax%`<4p=!;)|2arIypp{(gOcD)A<g(U(~7K-tJJjy@9^>;tX{f=cs=fbL<%` zIK<EPusW^#>;+B29cYegz5gzD!?$It(;Z!=tU6u%ahj~$>P*9Yq)sX`i0K~`nL!Rl z6r=~w$-UDVQx34RDoiJLmO4GAj!^beQM&A>)JbI)(VjWSLlU!~I6YF{s1FIm)NESx zn{2*Rj0WW9EL1Qx7j;sZNyKHouz{;KMQEn8)ak{8PvqbUciJOH>NKHJI(aju0R1Dj zu&9$dUbARVWvG++O(1zWq$FKBNa}QW?<6uMx(v;IhEFT%<Z<sLnc!4|riy7roxJEr z@^XJ^y80H+MV-_>P$!k4PAWs4COr3H8y4lGc{@m*E=+%_%{b;lgCBI&`#_yyeDi}% za6WoHk~7q4*q1I)xq~fj{*kMVI?b*UM_iY<(w0Q(6u&21o$hj*vQ($mY4#*O+?F=@ z&6~#Rq%wn;{^&I|$iv~esM966*bTflglyOEC$f*_hiMXVzi!SayYK6tkY0SjGXH~F z1Zx6S$k!n*G&GLKp-$&$UjmI>XrIxXp-yUhsFTW2r?RdSNex>kn$|%sc31DTA%#-% z&??*IVt061SrXLAfu5}<7dv&lsFTW2r>KU$X)Eg#pc6XsDP%&sgvYt+e%|6i-H!3; zLY;h{*^t;uW$EgYyaJ+5o=aPi{LKo}6T5gW>ZJC8I;jkGQW@&>czOd?blMjfC+_dU z>SQz)V$E!F&~@+SVwY$4LNcR!P70xNv3ruo2_Ap@1DzJg#coTNipI_(?P#2H&%f1a z|G{i^x@X`ox!4(=);2C!=tMiclRBx)Ag2F%$3w<>GhFG%i&Cc$C_p|GEJPjFN}URQ zsZVDAEJE$Vq)sZci1zM9uQI+W=1H5UN}X!ycP#9x<VklekvgflsFTW2rz6`-kpGH# z&=rHFPT@;F8J#Z_q+9k&otl1HV+<YOLKjt*I;rDDom7T8jjHCR)d(+27c`bSbw7A6 zZLUu#nw%tcx^c+IxV4Nw-T#D7A?kF@_ouPmVsHAvEOk=*K%G>EI;jkG+UYx#dFaos z>%Wlqi#laE0y|dSjt;lt8e?_pzOoy+n%9X=Y9V!+(c2ELG|f$8M@gNI59^k;sAPT` zlSArcIh?Id>D;C)I&Chw!B}EgA^KlAzP4g@Qkg+azt5jH#xmVJ>3I7#dK?JW%&IsE z{7`~=-{xmiCc*aas7GRNc+-%5HFReF2eSy4P(RG*UbHmL`-R7W_@sLU=OFzGm8OL* za26_<+8*kpGSn%6`jWEWy=a>?pyx)2T+5=|<ZV(h>hq2-#?gY+XmQ6F-LMF4H;A91 z#tWv77j;q@>Qu3xomN}_O$O5xt|Ak;ZwjwXo0U|KuDZ@Q0a%?L?ua)oUQma!@BE{O zI#nFtOG?+OKx^IQxmcalK2Rr>p-w78oxFFOSdGp0G(hx=I!%de&eosGN0*3)nxIZo z>dhmkrn}Q^;<p?4$6micVOI=7?l{w&8dnS#yP0v9QWq5Qp#G%m-|A#Im90+qd3#xO zYDcES&q=o+HmBS>smuU8<K6h#Fxc_{D%O{KrzJxdz>2ZY;Y~+*-KlfoMX>qUJD4dJ zF|){3nMJVKQ|H3)+}|K(m8?#i>qWub=+F9NpJjDYb5SRip-x*fqo8BIm(U?oR;Mk0 z=0ctd8L;%6yzW%sXgC-yr$d!1{H;Wt)bXNDDnp&TEA@bSxvc20dUEg7<>LT&@-ioV zbBb3T)G69$I;_!u1gA|L|A?YaJ+{w=AnRZ7{<z#bsePbMDnp%AhB`TQsIUK%O*;zZ zc^|0LqD~s=GTMe(GG%o-{WKCHyPbmX6Xo7%o81~X@oppBt|qtQBWy;%n^F(qKVP|b zDt;kbogQ#EvgqXYxi;}A;X+G&;@x3&Qkg+af6bt-WT}H2-I>a_wIEp20W(OoxWe@2 zL|L8g*v67_ql-~<psY?RvxwYA7yL-YYQ^c9>9RU?b?Z+C=nsgk)J0Y&H5YYK8R|6b z_AJtGMG?BjD67-TvLi@*t3otNJc1Fc(~{$D$yNP_XTV!lCw082lgd!1)+g4bK76GA z`bs@nof1dA5BT+|H1%I2tJB`P{$y_5YBVxkRwuK~EYfhb{<P9WS)J5AP$!k4PAWs4 z(hGNE-i_>NtKqy~)G4I29~)9HFKzXV_lwnOm)CxhI3z!v5zHA@r{||C!jfyb=<7IH zog9a(Hx~AHrK9a+bqc(etxgsLf62Ym%Sp|RU8cFy{%O2v)JbIq;2Dv7%*KS_Md;Dh zd>;aWZMy&1_{z2fT{NEZT*0<>aU^Ztm7@2%RnwXIAIu_{aa_BAUrye1%4!}5V&UkX zy42|E=}lXW<t$V%wLR2HWvJ7PoS%%#oV@7ydi<;q7rO)fj~L$^DoQ)d<!>YEG%`Ng zIHW^i`q;p41H|g2ju&-O8S1pUi;q^KKxx_`Kc7M-j<5I0jI`Yi{Alt(K3!OyDkPUT z#@??*+sE>S1gleWq&*35Q=VE6;kmfjsePbMDnp%AhB^%yI+LxMU`wBl;QgXb>)N+t z7jERG7w__ZQKu>G#*pC`-RPDgoS{xVO1Z<_+0L|gQ-0BhbAw^5)-!ENo<h|BQs=*m zUH?1T>hzH3X3=T)d~34doD==jN$R9B1MrMTABvL4`(0^u{CO|IlBXHT&?bdwk*~ZW zm<0Qpw-a$J?@51N=EE`ngINS~yTy!owtCXHxus6M_ZKGLXM56aPkAotq_&4TsSI_p zThfqRZ|y-1T7aI5I*mPFfi$slqYd**ojP=MBL&vD(2p^E4~ROc<3*iRhB{TL7n7E1 zSB&1?(m~Hfoq|UmO!c)bMM*xX)4k4LjSmV{p`Y9EsY0EGe{DmC_4cL<b4#7nK2Rr> zp-w78ojTR+#~ce-)9cUL>3yJ1L5r#}yWS3TT?p@&zlR3Hp2TIOXN3Nb%?|L759(xl zvIOi)aG)U{__6R<gQ0YIX290u{4`>S)G6AMtxk`4ZWf)Q>MS8Gm)OzVv2rV}G6V38 zJeQKli1E4Uq^5E!e(?1n(*H+3TJeKi?D8EvPrh7np@%lf#ZF}w(VlbpCB(gG0h)40 zE_Tfwc9N7BSGwYWT<p|b)JbKiQ^UcBNrFNDDt4P(>;}BwNjwkcrNxTyn^v$oRr{Do z_V&s}yX@oBfI6w;MV(ZJI;~vv!nnG<8_k;`7rV5DUc}G82tD3{f6{M>iZwrM5vi8x zOZV>N+M!NY#vCMVP8O!E1Np}mtCQLX>ZCH%NoA<hghGDod1)(3Z*e71rz4v)wU2Xb zY4vWrU)1SD>=WYRoRdELA{V<UzIDL?e!#khe2;}XCH87fqKZ1uPswtz+x|3LogQ;H zvgmXrY9`sfD?jZSFZWI=Gl=PTs1!%&k^;0;d%1VIT04o<@bsX|Y@|*_efN_QUp#5S z6V>%YHH%!8Sp*x?ZX7wO|Jqr{pF9r4Gz>K@CF9KcFX7$dEL1Qx7j;q@>SQ%_GbvTF zF!eZ2^jxe?+VNGS|6Mn_%1@rz^@ximcc;5j<6-_bqE6~~Q74t5PH!d+G4{<}f+mPZ z1~GAb>%#6Ddw=kz7aQ<tMV-b}o31~RvnnMKd<s#g&k>u+=uB^VqKVu)sePbMDnp%A zhB|o+YQ}cHu&2S_xjLv*<{CFvA<&UF9LM`bolZ|pC%=2<qaA+mj}KO-{O162zO|!g z#1}89lh-aUawWeD&9$}5-^K3I>uhz(&}GW1)BPvih)<>?Wzll6Q<*_b|Hh<=B=(*& zecev(oxaqZPg?hNqh%fC-swWvGE$;JVfyhFAC6h%s>~wT=}tzHuVN8eH=kVWocE6> zKduy}&0q0c)Je@nom7T8#hi>L<%hV_JeTESHzGKk#CR2;-j(><h}G%h*O8>xiTpG@ zO)hrocu^;np-z3>HU<oT?nw(j<Wq<`c^->2Zcp=~Ar1HxqE0SHJCH72E72+9pP!;m z;X@ab{y`<Fk2o{N>ZJC8I;jkGQW@%0s7fog;EfIa{!1=)J1%;%qZ9Q@%@epH{5{ma zx_3B13jNGOn|zXs-SCh8P}0Meeyl0?PI>!$F-H11(U<GwV)yl9wmLoGePpRl-Ks{B z^c;3{$S3}(!L7K;48Sw?|5{GkX5^wRw(@W1K`{HsjbzP$eAFsL?w!u8-AgXj*S~iw zB6U)kMdZ5HnMNK@bfxWscpQjNde@c9NSRC*`pS>9P{Gt()JbI~5jX$L77{j0zZ_dw z>XaCqNL<R~rQ2pS*4sm!ETiK|z(og|-$Ux8j@K;OQyJ<MI`@R}`PhQ=Y(uG2`%EYD zyjWp6WCx#C)M@LJd1P#ZGSs0^u+C7YX*G5c=2MuyN#ePvliCOBq%zb=WvEmCgvzY* zP6Mq6Qm4{mbFd~sIcfD{Tpj)%8Von5r<0*^Hq^DF)M?(N+Hfr9JM2u9d#BcS>Jjg8 z_Oy5|sgwJ+Y;}6d`^cix@a19TO{5*2_g3zmRAvC45w$svgb&Y6LpRI4Q|Ue%Nu$hs zv`yy*`k|XdT&u$eiPt3;de5V#&dmQ{7Qs4(gp*+XAC+Hj%HvR{TqVuKS68faS<X-= zwLR2HWvJ64hi%03rxRW2!7C*$c1sGG$<p0<>E`Kj@8q*7ns|idqEp;>HHjDMsN+SQ zRE9d)g{&~f*|^b_lvi>la*HqiVyyhVFzvBf?w!IvnaB|RnSQzQ@##XHf^Tjh`R^5` z=foq3P$#ty)JbKi)Bg~5)=^b_-^0F0BM3-?0VsliilSn{>}_FpCw6!DwZ*_d6#ME2 z#qKVy-QA7d7})uqefIBlJm2M7+_m_FXYF&&oY~Lpse5Ns#yX81S<IZY$ABI{<A#er zgQ4jJOY@~x);Q-7Da$&gSYOoEHL=Dm^@vfGHW*e+C<bNr{(w63^kb(b!J*o_3_HAR z)#}gAuGH@=b$Uwu{iW0FZ4+VY?5prtzGscAlgbQ0EslyyjQii+0l#Xr2q2lYc`oc8 z@dP&3qbKbeC0o0FF>E{V8Y0I~#WMYarAwC5F9~Xm`wW#PQ5?wB_~x7sw=cYhIm3v> zNv8J4I;qSk;{r|d;9j?9aQc=0OBP5-gh6E<K$$aCCAd1RE<6otKDq_ZZqa2&)=8bO zN%p5Q)@fzAUJ$X~0;koXOTK0q*ZuY&_`cH`H(sMlg4ZP*cX}e+iE>5f6>SA$oetzk zfU_3gVZ~Ky%Q~rJuudvtom9p;4em8wd$h|A7Y5T9tkao~_q7Jyt#R9@IKfz_!WpyR z<=!LEXewPkWu4w-ra)Z1R2WpNlVG%N42A>uN5IC^dr+`!=RZ2dS?|p1tq0Gj?O!@o z4y*vXiimx1%g&-()=6aspcYk2*MqI^Y;p8q+A={h|7Pu=axF*PWvlCyZ)zVHZs~&g zx{wkk8K<&z$tGlP0;h($;nWEf2Qm%eN7_S)JFYmc2eCNG)V8dX%8W9uTft5+sG1Y{ zZP0Z(e5V<-32?w{9dw;m<fsMn9@}7pD!NYUd`+@Hm9b8JYk9$=?B4igZhNtOW*L`0 zD-g=A&V>c7b)90@m4~361<`UirI2-cGpYeNl=H$&cU>oS4Ax0ytdq)Er{O&sr-fZ` z#cy9}4A!YjuNQkS*UgDFm&XalIvvUA2yS1#!|hYVSf{+ZXF!R`4*<G!6pVE$csUHl z#M|P&;rb7wjM=l)>A6tjZ=KAx2edJBa-y-2u9M0PGX44I+|$PP@kA^6f-jIPrI`hU zzx2gp?R1^``M7}hE^+D5nsz!S8K<&z$*K-`tPO4Nk3~yT9LUt<6ffw?w<RxLa3dBc znc9|hQkhZ46|Zg$?_c|2xm<J>$2+@b+B@y&25)S?K-Z~B?rU1#Rvvh?vaXXlUz6-l zWvr9aywX}klYBU&udY)?ukPBets!{od|NRtSEtY2(zFH-qp*GsN;T`08v9%uV=jP; z?owMT@h5~-);;T_GS*3Dtkcjw!RGcwobgp_8kcoCaO-KBMJqQf@J!b!aIhn2oy8ZX zXX!e%j%oxuH`w5zOj4V5TK#;AR=u}7T2|6^TIrglPA_O4e^sX@Q%}a^aks_k_4Gq= zl^K9q+}Zgprfs(D=oPLXiq8x5(WWOk<C!0Ha&DAy!zV>(D~7qD>zzo!O#fi%k~N7K zA2aff8#c^IThagNbmnc$dhvaow{NH|>!kL_I;o6xN^Fx?o4?ov8yzVp+Okfk>txql zYdYaz`5h?U+4(ek9b@^z9;;2K3m(Z*9d*8}lge19WnruL5AgNC>FepZ%PiZLNy@w5 z)!7$o`09t^eV*-&ne7pR<A>AXFY9z_S|QD}-w*HD>WAX$7_5`ZSSOXSPRBf&n18&= z1h?Cy1M74yBh-9<`)}x9pT?#2DqabGYqS=f*9Pxwp<`aIPJTt5q5oF{9==P<!aA+& z8yJ1@nk`oE*!0iN?zmT$I=!SZ{?cjm^Zwdsds}ql7h%XBm8;AE)WYlK1Z_!%1K#MP z>lBzTNpl<Ij5`Z}SS+KAYx={aeXB3-0ZJuI|6u8oExKD@E7sf{8~f`zb$dNdo0Z{) z1Apr}sr|7|Dr24Q)K1pcjc~!&&vczidn9P@BAu{iwOFxytkcfHW3|)bjoj;Q={l+N zWt~*UI-O|TDdt9~Cnj4_8d#_Ex6a0#eBg^(Z(XO~C3|XbB13S)Rb3|-y;y5e!w)BP z&~;MBV4YOPI;o6xGWRZHe&6aBq{tunvreAR9L(+>R=9JDuG4_u$F(PKt?;WGG1kfE zaRj`H`2n??(5V9J)Oe_m_Mnj+`W@AEdX_s&on8qw{?@5=NV2wX)GsJ?L9b3KGsyIt z#-(Vb0xU5qUf1cyw9Q)0<+ixDn66W?qWd-D$m|&Zj+8LTwkk`Ptj(k;TK_YS*iT+i z0J)_n)J@R}mUYA&f9a&QWt~*UI*nYnO?$E04%@ufbs95ojn=fiHGXZb>vYL?sn*9a z8y@(m>!i+?by6AYWSPxMJMl<7ek@qmsc1xDZSM#-T)IHl$-Zck)^3!)_^vpmimTJR zn!B|0rf#@7Ue`$-gLP6F>!dQ)=~Dh&=HA&qK@G>hE)>|_O|$#>6Y|Z`b$VdDt4$v9 z6@sF4ou;{$fZ)KFkYv<#Dj3m1+kL`-+n(t<x#Z7Mr`JNJzjdl5bg~zV@H|1kP@pn{ zOn-QvRa(NWZ0KECzfjPq#6GQGD_dOrO1~=pe#aT@XNl~XH#JJEN|S7>vUJHhyDro| zPH@Bz=P8bLite*jEA%-#+HNHlClyoMvQ8>vozhGPv^DMQFm?^8%{#m34qLP$d8~1% zmwut3`^psU`cVtC*+OaHot-*g)=6coQ>O;D+LALlaOPv$^vrVkY6lh79{(q<vo+N( z6uiHZq@8FLfJ?8FI;>MtiCtRXFgF|$tKVc%$6%dQ#yY8tb!xWD(>%KSC&+h{l;G-A zF78TNjNumyt4rfj)i)Socizz+*nEZCA7}^7)#=0WqEO?~3&<!(XX#v>jtyz94Vq}c zE-Un#ED@nu>Xboa{I#>|S=+32@%at2Kk7GGRAvBb@%F@dZBu7UOkJYiWZ60Kp?3YT zEyhIYI)QhlHg9KktpB*ASX7g2tFm;-nxvbx79E_hmy@nj<taC`b}K}6dPi+pC$%l> zq%zj2|JJA4adFcj@jV^Ku})*6Z)!coPe@mG(QmSJE_Yh%&@dYochPlH=gT^&jCFDy z)==}#bjA&_x=vm<Mro_(yW`#6l-BD~v7EQ}X-kd=VBWI2PD3W%*A|U*L&JJ%YbE{+ z26YV9NoA~)%2=nk>2~J(PCp^aUDv5&-)(7&E?Z!u6jFzETH|X8<L`cfXDxJ{8fL2u z6Lvm>J6lL?)+u30lD4yhg*biCb!rlkrA}{X9)IcdqSZcag84VJ>_}bz-xpLAW&mno z9)420y4Mmvx#~ArO!aPP<;vRO?zQ^PuFb5++DK<d+}et!W0GxEmM&Srxtp~d;u7QO zi4+Gi4aE{qX}3N(;?J(cSSPhD>!dQ)Y2c#U+GNche{|NbihuuhK@0e4jjiwKJG(7+ zk815!Wy9~I^{e9QI$)ht#yZ9N)YRJgxnSx}(!?y6+5ONU?eYS5+#E*fVx4S<?ABuI z2VkqUlq#-H8@JunP8@Z^HF+rgtdlwh>!dQ)NoA~4^%G9!$H_n7P`tjgyEJTnTB*Yp z80Ssn(mFI4hW)UB>eIhM!Wn&MSI{vQ3iW&rqw?!FSq9&kr489+ffl3mtKx%8W~tL# z8sjgWI+y>dU9<ZJWq0d4JCzxLS|rxChCDY6*ru+&v#T5E49jX-W5PwfIxW$>;H9@c zYCWjxm}Fa(rAsDWJ+I{x-&dYAL$6NVZaaW`6$h+8kQnQvwq>1E#yX9w;|g=d54;Y_ z%c5MJrd4u)Dejh{66rg;#249M<MiK9=9pfc)cLYbDr237WLu$KY?uR`?P$|uo%{~% z)>>W4iHAq%JG<vjpS8S`^5Pfyi)q#=V80_ANOi$o{q&ukItJ^cGS*3DtkcNySJIp| z8nDg=y*kw!-aG9~HcPx*g>+|~vRmYVAjkLcIv+9K*)1*E5)Kc&2f@?yo!!~l=d|+4 zzu@y_y*eeA%TlLz<i=k*g)g**Y2lf0Rh%IH|LUYNgG|49hXd5O_zj}J)(~+Z+3yxE zu=}<J-We1_Z6(|O%pF3+4(4UfVuG3e!O|srb?~b;(83N!7N<CnTY8kq4jPL~jP3o1 z#Yv|2$2zIZDC4FlyTZ!5*)XF}S<#kt>Nv*<UdR51w%aQSHbcf;tZNS!HhzJy-t>jv zWXaU|n*PC9r(NN@w9D@uu+lbC(JbShw>YD%w|2(wg{dNNb@It)1>vK7aoh>o^jN2- zZXPi8w<B%}pen}INgbDUQW@){GS+EUr^9Ir%Ke1PwW;cai$8<m*Nz%#FV`CI<x4ss zVVz(?5L}w^0v2B&#yZ_z+yQJWT!ZmIiqUc#47IL3)LMT33~k3W`E#MbTs}*k-c#GZ zbeh~)gI9fD!-G6@S&w&iDl-7JaP_YOoxXj5U-7hxK(g3Zb>a4&pK$V;UY!O%Y6?xn zkG3~frV3+{aVkrfY((J-(D1i4o@qsKAXBriWi9yD$_m$1B^D={+Lm=vnNh~|c5479 z#Wj~^^5zcfbik`7^lbSRJd5bnY4`R@Q0@ME@N=ZJvQFxJO|n0gu}%k@c*9qJ2mIPr zuTHOv1;U2>IneW-UY%BTje*63eDM2tsvNA-u+p`l_(FTMzNJ?ubqv-?Wvr9RSf|K` z9%=Dn&(Ls-UY%y<Efh1Vg*7I&B~4hTZf{$_iF)@TEP)v7R5j0JXytkW+6B__GV8SN zb{P2Eet;S=`aQe!Dp~53Db)B|r<ubwa69o5c1)n*SSOVkWcnXz72sgqOlX@)hqWNt zpyILc+3N=silvitqhzm(SA+d0EO6icB7&Lz!O|t0aHkkND`bsP*C~#5T2(OyW=|A{ z`v-}!PHKOwlge19X7*KJl>0B(m03!(Wu0uQRe~eiKf}xUq&ruqX64F5+fwgfcYnIz z!8)n)Wt~*UIt?G<1@`alaQ-Q(2xh5W(`EtidypeWRHe=Ax@3LcM#J#Bo;c$(RY2D1 zO^I5tCD{&(SD^H9byCM*om9p;sf=}cGrM@&>hoe<`BT;5>Qv%Da`cAW;=0orI=*F{ z28FkT6=Ux~;3s0N)2>xh!PoH^RGLavmUY^^IUKy}zlRbl8vUtGhT2)`^ua(M{k!6) z1Bbz+s)u0iIlVfm%plVr|7$cX*?bbB<>fGtto_{yV5)No43QPZVi_f~JvJF)Qg6cg zp;Tc^|6u8om2Ni%!q-29$)hL^WEx^ei3bf<z6b026N{5f?T>X*nNh|$WlV%I6|O+w zB|0r&orVq>2M;XIL8Ya7b=rR12$@TdLmm071=dNOuSxc&GS+E=Q!B{nlL6&C=$OMS z;}XRyb@G+{2=!CxjE!|lIWQC&@3RuW7o>{CI(@Ml3;hp1g`bJkmUU9cV4YOPI;o6x zs@tlcHt5P%@cyV*r-akzw08$HA?^T`2G(ix?g@~&Z3`T(L~*RstvAV#f5Tizm1py; zQ;{j%VZokL5cxr`P9Y7m)aj#vKDtiHk)6PG#1=UIgH{JuCzTmw`W+5;hdl3g!|Gc4 zWz2{@eZhV4A=o!szsb^~)gTD7JOvTA>G;Pa+o~*GvPF$MLrQ~7u>T&#flSS(<X%uN z`WzUq5{r{eZOb~T%qZi0E&9Xe*+*bS0jiX&ll7%uu()a(7@kxXjH^>Rc7tAbcEZ$a zv{kcC>U>SIKb5gg=Zn>Zw6xn`TZ7VNmT|kE)Q1P7A42*Q+R|AkoYxUP?)n6;-%_er zr$w84gQ3KA$bXpHvQFw4tdq)ECzY{IOQ*Ecx(7ai3dLy*u1>}Fm^IUYbZGjEDkbZ* z=f?nWjam-IzWSM6=^j(z;j}4G+=X;!o%URB2E`lgffRrJ%&toFEOq)MWcpjDJd0+) zwXrGC|4kRsHS44@gG_(f=w$eCZ4KP@qWvvMHtm!Nw5D4jF()Zzl+1WK6>`kp14ZPm zUDH2Ux@0v2mccuhqfjnPzXe?2Z3;MiHA7;EehXObk9ATR>vVYiGRUmB9mcQHZvnra zxe)66Z3M^Jlxo&V%RdLQommAL^1;`vlR974NoB0ln*|f#%cYCp6xC7m$2w(<iiZ_T zZbGl??FD0<rrOSg^B(VD#piZ{u}*E5&xR_d<8WaYwPl^uF<2*+u}&&uojkfbg4r_z znjUN``eU6=ABuo0b`Rmqa=P`*I(arvg1Mh&LAkCJ$JHsh-Xdt|*%cZDcNUCws&Q&E z7^Bw1a4-E~hP~Tlsncfzee~*-yX-VLvd;wDL+I`@>!dP+OuuubMDX`q3CkK$(FDmB z{Fn#B7H@=(&GesbKIpjwzNYVhFB7Rsm}H#F(k1(Gcph}lbr3F$pg53Q`qaq_A$zWU zkZTyRILXwutdq)&GH&UB1(0W|cmYQyoyBo=nz?R{c%s@`_<dFX*`{I9OmK8q0h#g% z#H^D#Uz6-lWvo-(3S(hn)LAIdkJ4q9afvx6z?9)v;H77rV64-WLDS%A+ZWI<h7KTD zr#4<Q;llC5a4M79vQFw4tdq)ECzY{IJ4;%_A&X~l$(k<kuujiM7lcB6?}+!=wGfPT zieEnyrX@@V?LR65tkbFU^WoO`_OPQl>CQS;5Z}?d5Vacm)X{&oIipjSI(;$FN7u<E zej*G%y%gRctq#^nWd@o4O`oSg->_BCb1)T6knGT<8Svk}O>k>cMQSVAfUUEkn8Pj@ zdWepHO#fi%lJ(n?09~&g1mC?B2QoF;7S4p%*88FSPGWJAsr|7|Dl^KsUH50gwRKxy zY!Fp8)@fLu1UNBp9UT3oA3HrdFd1g&PK6+Q+Uc-P>U>SIKb5gg9*#rdf!|q}l|bn- z%ebf`qhR-o%TT-+ow2b_KN2QFyROe*Q&T#CV4dFdodQ$u9)VMilvdVB9fNgJ8SA7n z)+zP#GwtB8M-UK6J1o{|=SUxTY;g<n$ZvtNP8}Lf1w*-+FmI23?Bpkon<8d)fjd1& zMb@cBi7}Ap>1uf1S$|CZ#vWPf^wmHgU8j`^OSD?wzCh+!>Xvm<nL(yMS-h0qyOjYS zl_A4HvZ@DCwOkLaaNU#A)K;?GPHVK{`|Ys(>Oz8<{=w2En_}5V3(w_%=Ppwm$kb%G z&eY7q#Pc$D5Q~#c?T>X*nNh|STeVUPer}B|QcH@qtW%?n%e4thvx%3hkz%~Fv+uJ^ zdo}Bqc!L8e#yY9<HOc-|#yb6K?54Skdx|%2QMEJ6xS?ChY18w%pi_N1b7Gxlr!LS+ zUGhWw`}939)@jC?G;MrG7aSi=$84;VItJ^cGS*3Dtkc}nzUF$`JJ`904m4P&$jlpQ zJ3PL^*Ge=l>s0B%L#<D0CX9MfLolvR9^Pfd4)75yD@n&#tkdvvy|kNwKj7|y`hU*s zuJ_AQr*8)O=sFc2(^8u%zDm_~3>{yvPAW6V^jA9CSxcJZfZ<hX#|DyhYc)XY66lPZ zZRpaWQL<M5jncd<-SElv!h)Ip!O|sjSmvy~dgX@avKJ9?AX5`vy|NZP*$wNyptf<6 zsr|7|Dl^Ks@%aa99}Bu*)l*d2SSOE=UfRGrjyOB0ykM-;+jSi@Fxq3gO|*JhCw0Ci z*`LZ-r&5i-M}Kbbfr-~i3A2o=95p|t#YG>qsYHsgPF=hkYOxgxVCV))HS2VH-7L-j zk@#6@DM}&hq>jNlsf=|}8S9k&S4H#FPv79kGt!uK@>t_;-m)_ruIxzTvQG8(?$fI5 zw!#mONio*x)vv-ZqT~-49ZY)~*6HafOKsi*Tl7nA@JFXFL$cKAyMaEsPH9(*YFmce zVEsVqnsri{L8gD)os!ztjt+R{ZDkP$lKEFJr;QUos#>tK6t$J?<y6pqiKla{olR3T z{ez`T)^Prkn2|HxP&+|!AXC$Qqm8yiJl`oel~|l)YJaSg%8WAZ<A7)_`)~2xt5GFH zTh=KxrL;C~gCiEcNN1k^r_-nsT0(7mJk*E|*;yxbz9!k9%2=mUt_}BHF}vgUp_D?i zjO$X=BBq+358i%C>0+JcrG#iM^@H$oy&8hCPIgH{H0wjY`0*OGWu4S9SSOV^idcg| zWvtVME_KWq??1uTWEz*&m%*^Pj=%Y&mj!;zN#n9k7mBUauHCdkzwuO!S*InH3c&7e zKVf7VZ33**C+p2I5#wyJQB=J@I{6#3)aeI}`<G6o7f;i)9zVcEUQc43RAvBbv1$Kw z?UPS7EPY<rDdO==&2^a#T8-0n>en|>b1*t!L~WX)Nw!s4I<v}}R(VTy{5p){K&EEQ zoIcv<;OzLTC9yck)V8dX%8W8Dq2Vm;_DWk^Qd!sO-kllRQ*o7jTB@$op+eKOHR6$4 z-^=Jasq;0-{#3>~eO+`lCU+wz+}BOl$-0k+c5JXKR**Y3)@gYAcx|y)ZZvhFw6adn zcD)u_G$&@B(sfeDV4YOvDB2qgDr23Fya+Z=4|oTIn&~<vglDE*Ir|k3r;|FYQ;F=C zwfu`e!@<G2PKl3;L&KTRp`cmUX+uyot!B;NP%~85Nqp@ftDheHq~-fdr#>fKwaJZg zV6FRfNXI&<%mCCPDxjcdD4!D(w$S2(WUlWjXx}b)V&*XYx|6YYGp*e=U#!qDQpA~L zoXXNAdvx|#j7zK^?wm$(tkYoEJlaN2KXmOvjCE4mvQ8>voi=``s@1ybg{Ja!R>;+9 z$fA;(+Z1<9OQKDHtJ9U0fm*jvS3K^mUw2aH%Q~ryb?Q;0<^K0ea$!hGx<O->+AVp0 zY47<F0f_TyD`%Y=<af}HM;5`{Pie=-Ivr}&S{r{W5br1I_w3X$SSOXSPAX%a+{VS3 zXY{f_pUyNcZGPgpO*M;{&x)T9T)CrPcUsYIiMC#ROJhQLVqBf>MCF4y-)t~Jz7d|Q z(*`>&CLcOuthg*%p>vy_;xPh-xT#s{^oz#*OQ+t!eYCyqPIy>8RgQI1nE|Lp?z~2= z(>E9VGE2Y7Qew#@t=>5C-RbI-LZggZuyDGTr=1Tz^o|hB^beLUS>WIhtxp?Y++B;} zK&EER(ze>NPd->8j98pxYJaSg%8WA3cJySe?G#UZk%LYPSf?J{#%V3UO+2+kzsXX= zbGX*;kuz#PXtPL`ZPodj{=rx$ujjdAK4$viTz@(+Fw3}yMK;Ei>g$gY6G%_i$!kt$ zt#I~2c>NYtBGxJG#$wG11Mu}2YRfx2bzIg-Wvr9RSSOpPTITxVHP>TH(YUNrH*Y_4 zcUyZbzm>-2>a_a88LiE02fSB|80%!Qx(pn;WGVIxq!R0tndzdfZ;}I>KW_L(r%AK2 z)akcS<8Pflc3!4w>uj(@png?cWd@o4c<=REqiGKK=Bi$ug6i+lTwR<oW4K<Oe&SIr z@>x#&Qi>{!Nw!s4x@571r)!0)yW^uy6bCXj1B<TKDs6DXXR*ZMBvae6PAW6XxabP| zwe}t^c(JTrol=f&)sCKX#7C)mbt->vwf17LJ+`i>S0{D8CfT3LSf?jF?X_<0Jn>>* zy*gP1MQJZz`Qo*^lor-$+xNxVh%Le5w1w1Ro!VD9sy*A}i|N<&>ZFdrI;o6xQW@(M z7Z_?jw8sK3x217erw;wzrxo(B!I<ZIbsEs{trqys66a0St5cT?6~L?g7x1`A7fV<t z=RIAtBbDuNYH9t;y(^Qm)X88WZ2GG@ZQr|JJ2>7J6B_7eb}BQ-^pEp8tfjWij^7RX znO(a_C$t?8oH0{AlHMre9`--0b=&2J&_qA8Q(3x<ySgh$OKawVH78OW>$Ga%CM{Kb zvoUukVyu(emUU7Y>tvJvl(yih3odV|pV_76IHoQA&k0@5>K6*OEjy?M)pii?2dg2* zNS5lT^JSe>#yZ{VSxy_<!wWAiB^AxG?HsFaTH^#itm;I^A*|EL0lPJmcQ9@lLT6a4 z(~<`dH1`UA_|=}$%GF67gLP6F>!dQ)>A|rA=1ZBD7(a=s4(sGU=}DS<s2vV<p>d0g zKZ9ZS7aNGJVukm2QyJju6yw_nx{m$~(|kyG)~Qa5nOcRq_IRMXer9)kah5t+{EtqK zYi*#2uLWkv->dV^PGts}{%#$z!_`+-c(4Se0VF#!*9EG^*`xi|Xu*t<H9z1E+rpgC zwRTa#O#fi%lC}T&L8~;u8N&up9LUt9wy*`8t~s!BQ(|$Fsr|7|Dl^Ks+Phq#L|X@R z>sm&%<(*xULk^e~Y>OM;R}^f9jJxma0HL?VbCK3k8dxWFz9t!`GS+GG)-77gPB}5; zHKo8T<8rJ#p?QnnA6mAi)UZz1KUzVBgW}tm4@f)K>BD$0NFL&jubb0m%Q~rJuudvt zom9p;jZS=;*7A%MzL`sUvQEj}#-!D4EgrR6gvMo^dJhPNyzRfjJttzUQ<rtUp>Vy& zU^$j5CF?YB&;xDZXiLnI*7(oP?rlnzI%Tskh>w1uV8Mw4TBRv3!0iSt7VD%kgG~Rp zs)w|r72iX^c-nD*WSD$dyIJWwR0z_~?AkUwqD>xZfv@j{i8zytQ(3xXH^mc0j0G)m zt`)5ckg4gDcb(?eG8?{sL2ctCQ`@pmDl^Ks0hbPI+3Wm-0S{?4vQ7gHhc%~TpCGZG zerA{S^q_V#_gh%<fvPO)q|VnQ`%@X~^uejUwkFydW94y(S;k$79Iu@Zvd4m(XzOR4 zUcV9F70>UEeobl9W1SX6-qV_Vu*1Pgq%rHHj=?&qjCE2O>-2o?k2JsBFW}=_8iUrM z!LZzrl6EchEhLTA&+Kk({iWGQJ%TjU&+H1%C=dIGUWOS-R8d){=>CheU1c(0#{0T| zbaGjfrB0R>G_bBy&BEEBuXyfssmr=fDl-7JC>Uf3J0k57y6QT8`)UcbRy$$BTiU@G zW!!*XR?uOHD|#g9I;kvO#!X##UK_L94VR};9LUt9xWCexugHl#mJ*ATOl`|Lsmv(j z^5nIGeCu-HgO$2YPv=>}{a)Gec&M&Zn<v>|NuV7*zo+Y@&etUSQyJ@2Xh@2-y^JUB z_ai0DGR}YI9<AbAA54tbbt-%Cw^pxQew>+2*Xi8_H|UY-jq@h!I;mr@PAX%aRK_|r zIAv#^^TP&hZt6OXsJ<d?OQZv)bR%_WJs1qXXN5o`abcukG%>DD&*KKdi1V+(W2>%H z&yv@*yc=xsREDlosZCkxWMx5v=sJx!6AX=x7%*`H6+W&`Dl-7JXy6kD=IK^wW2v9n z{hVGHyuR6CQWyQI_=1R{Aifukec#dXk4d&wS-NEQn>`_TqcfIqFCyYVre@umd~l#* z4xIN@KXy{vvQ8>vo!W~xgIj;I$6oTuEnJ=EJ_v`qM{Mxfmhxf@-q~4}428C$sDBtm z>F4UC&X;vk8SC`J@KKBTmJ^GdpiPf;8k1-ZL;mx`L1k%Y!qutr%OKc($sdayA$7Pq zwNEGorMJ7`l^EJ7a&=P2V4YOPI;o6xYIJg2nxlB7k#k*AB3%559QE={YkJKAFTB-{ zoeEX24w<t*!N>Q+Sf>$dCV^+Gd*E-R%EZ;F+4!9BMZCi4#((;mU6UPI>SX;tI^}9P z6nw_M5_j=wb+Aq<GsyI(dJl!i8JQ4!u%d_q$=;P60tM#$fPJs&(xFkZFSdhW_YVua zR;i$1rhl+>$#(B+4a2+J;N)f$$2zr2>;~maS>ejc#Nwo4YJaSg%8WA3>f>PWn)(Y? z%`7I`vQB>chJZ)KFHoQ%9ow-^A4(2|rFY)J>6)}^StoVACfT3LSf>UH>OkHz4!BWX zdo#<p$!D9vD)ElH$f8swSf^Fh2gBj#;=w}CY13n!s!tgQF8S<mTNI_0byCM*om9p; zsf=}+u;{?P2!kVDJxgP-PS(dNYZ)KKjj(vCyj-0kJ*L9Smbc+x1~Jy@YmqfjxWIn+ zF5d?6e>xrQ1S^hwfR>Bv{Mp$J-j}6LHWmi)(W_HAkBLyJ$}M<bM&H?~%plW0E6+rD zwdw)9?N46-0m*vYnE(NmUc!+XB?U7|R<y$e_`T>oG`K}dnEt`iCF}ZgAlxha0}`H5 z9LUt9oHRndKA&ONbz*Unsr|7|Dl^Ks=7%Ogtx~VSuV|!b%Q_Xan+QH%pMaHtej33# z*#=I8!3)wMpB1fM)=8bON%p5Q*6G&l&T#QTHuM`nN|<HblB<2-_z-KH{ax3|zwiXm zW;^23^R$CuoqSWKLC=(5@Z_7WlR5_Lq%zh?Wvo-K<DX+TX4>NOjx+}A^sM4aE%tyl zI);;Ctkb3SiLll7B)DxN#yTCpy&kUZTn)j)^qpOoX(OOh*dwrs(|2~JLs{x%Yhe%{ zT_+5Vfg&yK#N!XB_;YnqnL(z%!1c1QEYK0_)}oVckZj4`Qs5Hrf|FKLMKDU%ac>C# zaXo29p#p-L{=w2ETW0GG-4=S`_y!aQGBxoN3&5<e9#}AnSe#^Pf2@<rj52P|mni5o z$rblErJX11WZR?+%o11p+kd4?o2*mK@#SE%hj?V{S*o(ElR96M>`!H^Q=PWiA@-QK z@8(6RG0V8wlf59%{@i$b45jM2WQ$sqh0Vu<(EOvaV64;q%5|XF6<>te)RwE0ItJ^c zGS*3DtW!(pQ)v_CxT2jYR`ka@^&FHxt&6x1`XidgWu3mg=l~sUvf=IO#8{^d{TG1U zsps(dEvd-W>1kpxe4Q$8aQ&$9r#hKWWT}&#g+Y9Doo3n=gX#4@L2yZ3CzTmw`Wtu_ zf#Z+FkI&bESOk#ldc`o<)<XP_&0W_iWkWE;1=?aoQ;>)=$vBmzOO|_!6XZh&d}yXP zkZEXF!x#Lwi6@|?5{r{eZOb~T%qZhdHVK7KEv)d!k;0-a>*QCa5I~3perl=f<ngu$ z<U8>l_Jrv=sq;0-{#3>~{a$JfA1gcImZ4PH%rfp_v<o<Z3nph$T3M&kBZ|PpPTp8{ zj;_=AJqTe(oN(z|YRfvQW3WytW1UpSI;C3tm)63{8Y44l4A$vz)b0KA``h4=B-(?p zPM#&}L&qgA;OBqDSf`b1rorNQ7hzD8u2bsTJkX=f4;a)y*Xh~0EOoNCFo=(?)96d% zwVWrMu)n-k!PQA+2ATeGpT=tw*16)?H<SjDY}EPjTE!?&94EhHWR%RShj=QQr!RgR z7%JjS|6u8o?MZdfCPnz+qjeMqGBxJPHME4yzIY{`Se#^Pf2@<rj52QU-tpS-7%wc| zP2brS&KR#jrW;;At{*$OXO7q2&UL}=O=;C8%eLx#P5)r5Q{{`jW0oc5Leogv^vp7@ zZlPN-No)M^`9n$#>*O}wsMW9!#~o#<5^;4J*=Vg+J}m${JfOC$lR7Tzq%zh?Wvo-4 zO?A!V2Uy{~Bz<Ssq){%jn}Y*pxX`$))1BV8HR~4QR{Jc{n02zNTp2!IutcYawBzOK zv?C&1n;GDYy~G!7{{KBYyQ^91<X~YCA6=*Low;E6A}9QsU$0IoGsyJEWcP(3-CS|Y zYP~wSBzeM@TOQ~bpjW4)#%^$Vg%8f&O%=u@+o~*GvOQIwX^G8q;pk@+2QoGFT3dqA z&JT|tBNiu_+Lm=vnNh|KO!I(+cRaDwRlPbDZSD<yQrz%TTfI6tT=0d^7B09ZKW!GQ zlR96M>`!H^lcU`^t>3#mxVnvAo$|JRriJ7Q#E4^hb$YVj2acIT@kzK|ohDr`0wu(~ zy$09y>ZFdrI;o6xQW@)%Yrm7Z{wo*k>PzEtb(+{{S=zoxcg(hyDiP}xJ1kZ_mCp_> zrxRnHz7?Ggt;JU+BmMR2bo-YTbgbrrJ3+5bA-A*CDZ7QR=`Wqkj)TE0o{MyJGfk7L zlgbP-{TE&P!Bz3j4x68JPYfg*zPmegpW=;{5tKrsWcK$u!WGDcH)jS2X8H$9mn^na zW!NysAFJ-9IMyj=L?ejro(CVzBgQ(Z{jp9eW1VJ}>;`ov`e2!>RM~iE7xK9m?1}Tl z{E2ktIYVmlbX0$MC7xu`c_M8Vtdlxl)=6coQ%Qe-jve#k;+vEjv+S?apqlV=a{=^^ zCOxl9R&YmuxVteNpROn`7+0swXU0RVB7xYU11V-D{zMPTx@VnK#yY8tbxH|XlonOe zAFC9j+uN+u!uz@Q52+M@P1EW4mUYVcU?z-+v_rRiv@ERC_tbqb^3fY;|AkcK>NN9I zTiDXW9b0X#@~1l0d61<}j{l?6@s6FehBfnG+4eLP>!dP+On>Bzy4uO&f#T_Nx=!U5 ziB~2bDu5^76{5B>E{Au3Hg;7gUOcbsq_T7wH#u;0^uuXkxWzqCv;~=l;Kl1=8U}@7 z!{@qAYFpMxWvr9unxfkL)4^D2m#)*6r4_aB!}H@B`JxWi$+V%d)-6u}4ojp<o2-*M zU)D)wtke9F9rvBC5{}8MNgdW{Nx|@#122kT@!ym#)+w-M6Rp|V(pWZ_(#kr$t7X!@ z<ST~vT}VaNNgacAQW@){GS;cg?eXS0j;>gw293))_2^&2y!wSFPH(5{bYb{yZOA)% zd_QeItkc}~O~LAm_@+f}Qk!*}Q$9osd>e>Yj#v7lQ}1V4>g4o4I^`~4qrF>Xz!Jx3 zhrl|i%plX>=-u>~n^Uc@=Q2_UB%3>}#GW6);!@hgywp~*=)ht7<9(fQ&O|rCO#fi% zlEv35o;GB*c)^94;#j9A<}dq;)ONy(i-^TZ#nk>-CzTmx+|eoV`#y^+!lxSL5^cFU zxwgy^v*D%<wwh5uFxF|<qRlY_`&;5p%c6p@PU?J3vOkrvPSu7R_y26`gdYpgg%Pui zTXT5vzUkpE=)91s0qYcS_jyd-?Oxb3gpT7_rvg)|YNflmWAG?y%Q~rJuudvtom9p; zjl9^-T+se0Ogv3vuuhFPl`<dO^$zx)qJs~vPPcwc*Cv(!1-}XsW1W6Z4}r?b@4*;H zcQaV0@r(Sm(8mTWusQ0FPBSvH)G3FBL45RMr?>G2@HrNYIJu(ensri{L8iZF`FGm$ zg<)7dKi!`L$%@9_)hc;M;M(m4sjXzySDewzuOsnLx7>o6{=w2EYv3?KE9+Vkd#<NA zkg2hXT&{&%l|aui#Ns4V`(vF{W|VP@pWM(^<SL3c`jR@Vljo(UTAo{l@WJy4!C0sG zZ6CEEQ$n#uGF{1Moz(f7WPd7SomzeAudQ4jg&X(KmTs1DBR|a3ZcQnJ-E64Zu}&uj ze$m3h%VS6R$b8l*V~n?WjBFX48A+9cbyCM*om9p;sf=}MaHW&^eTzW6Q;Dvru})FB z^P8O-2jlhXbn3x6z3WpNhB@U!uQ#+;VVy>;PlEb2y)a~SdBIqxkn3-?m3u=`+@JZQ z)6NfB>f~%;5FcHqdLxse$g45XZWI+^)=6asnf|2Di7+r`GIU?A>ol=t0$e*Y3ubT9 zbqc5(4}${cL-mhTB}}rd%F-pf{dO#*doPDYPbm&$YR0#i0Cff}fzr>2#Yv{NWt~)J zlyR*cr$N=U*<h@#>(sCKO!ze+0Tu^SC1Ra^K@zknJ_*K^rq#<jsq;0-{#3>~E%liW z-#@K~V&_Q-vy3~_XeOLEunBU>2U@dETW8FLPOW!AVkRlZI{AE@4|hJNK-)T$Le@zg zgLP6F>!dQ)$t%$nnl(QM1^&{>rch~ca5)TCp}I~<{_|n&wbn5BCo$G(@{*M>s!;$; zKSIY{tkakqN$~0QRG7D_;vb!^f6G!Q7Ykw2Upisg|G<A^E^OSGwm8;FWd@o4nmZSP za|3_8-HVDVNOtM{9B4TwKYs2(Q#49;=D`f`DHnnssa}Ga{=w2E8`^3(EO}c9d!D5@ zkg2)QU?O-qh2iCO#Ns$zN`I`AI)+ik<!_k;-=+nLXDS7Vwp^WFwVn?N0|N1!{DuPS z)VazMm{cb(ZnvdE&pN5|HOc-|#yVZhKNec|Duy<lNJX=Z+q``;RGJrwk^AV2F|5-e zo2AgwrzD!4=>URty5qSXUPTwe6l+Q=>!gmsI;o6xQW@)X-&8Eks(Nv}xSYn|>U4kM z<(Th_i{qV&w8?XII#F~l#BX!O8>fh|PB|hnz_-LV==X>!8|#!fekpi{<i;Hbv_Co- zEOuq}U2#_ngZSvxslw?h&^R>|SM;IP!8)nTAk*I<sthdeRv63N)sLO-oe6<!my2OZ z)Q_FKm-xVvg(Y$8#hju)lWeQ9bji+~xToc|DT51L={N~wYVMS^g0EFeVb~LD8z-6C zmUU8@QO12bogW5ViNukaexfbwbaZM_7-@>Y`ctT4u}-GiF_5oyA?)8uKXy{*Ym)t` zjCHEC-U5sz%3;4*`ms|`U`|-_E*kgWr1Y^)$7WW5rB3B>_eVNjVV&kiwSg<6%3)z& z(wKEp$6%dQ#yY8tb=u%l**s}%5lmc8W3Wyy<~>Ub-CPud-VtM+9xWXW`9|l%wzr6} zPQ!QagM4o8=)HmzW1XtZC<j~j1)*~T{n*LhHcOpyS_qr|(rJ|Gl@|Zh27Q*(@T`-{ z3^M(<E*{kyA8^1iRYOD^NH(SBe9fwoGy1&qp|+Au|J6wwn%@m`n4JVO{ez`Tb}it1 zO!mAUh#x49b(&o$NDIm7j@d5~W1ZCgSSOXSPWOXnXg907VDBxSqAlxGEoq}x)zS$^ zcvHn<ou0S5pxs_?k2iLO36?C?QRmA#sf=|>4Kiv?Gd;wss_9tFEZcS+o~*4BZ?inr zl5Xy>PMJ3!XvZhy!krIk(_@{Wj2-Nm=Yv0*k;bf(ItJ^cGS*3DtkZ(1Qs(|kt#L&$ z8iRG}F#1<ocSmtipgA$tsngQDux3#<Ebl~&bt>0)48*;93xN|zG1kfRVh+gD&Jw?D zDe|W}fm4<`x&4n$O`30jpc!6Rbq;NDtdq(NGX0^mSAe;&AAUB`aS}+D{%rx+^vH{C zXZuoH$?Q^Qfs<=KbUfiCnCTxZU9!FIMrdEGAbP&0IFPA%=^YQXoC;v)v&7;gQ~P6` zRA!WMvnR|0SMe5w6NP9;$vUOfT?$`n=Eh4Nfr7D43!GNLfpA|eTaH#Q>!i-tB>Pht z>$GpobjY)~5Uxw1G?-;v>XSL};Zq^ZG>|5&)8x}@;etb9yxyG@W1U{@+69#s2IIQQ zbg;lWsbjECDr22g#yXjI9@yWyXffPnO=`1F6UW79SF04mUft+AAnWuY<`_IakR2nP zXjxdN0(HK@ZvR)1Sdy;Cu}*oGY=BWwZdh(|$v--EcFR&HcMF5~=sUYYFV=yRlMU{v zMP0K_Dl^FRA5KhxNo(zKee)0z2a+W>m<PpPIpLamdUa~oXF6=1>55@fXjPbGoXXNA zTfcZDtY7Pe{gzW4$kdedoCw<{xZ}5}#Ns4V+p<n7Gs?J!yXU~dhdI#lwTEcSI{p5+ z7&@I6tMa11V62mMiBza2o<AP-Nv}@od`+@Hm9b9EOU#1yp1H7Z7gEP8<9a72gI)bx zSXn;yjCD#Hy#_9eclG5QPHAPGo~+pp+wyqgX=_rEbyCM*om58a!C+7s>*O?{bj-+Y zfw<9^Gzph+&o<A~e7gmrofmB?tkb>@2cYzu50G?>80%EEPX;upa0<L1lG?1(J&Vn7 z>bC`+b1d;kr%66p>f~WT3#jX~{=_yI;ByfA?ADK+RAvBbasACYSXKK3*zBdn0?EQU zrNF6!7a;b(Jc1b|bNsjf?poY{YNuTVGyQ|5OXl2eCU|E&7EhF=IFPAn-*yg+uW%32 z4-t!#Ozn?#QkhZ4y)Uv1Ca=E)8%pcPPTfkbg7NWZ;Ag0Q>@+fXBTTA!4DQMAqbJL@ z>U>TAV60Qp=>H(4=v!#|LO*tL*`Er}UcZHP^4G_#(+vBqP~qJ>aF|OeWu4CW?}1q* zAHYiacr?~Y9hY@d8SA7n)@jP3=i1vgwrHJ$#$cV6xfOsUdn=q;gOp{Rh9{@Nvj0}Y z8~Mv3)~Uzn+mLW|41`pq!+6%|rOh_D&@T;!%_;jwr<HlL)XCGrAU?WI9|ul_wQGW~ z+ff>xtCPwMGW~_hj)mMU3Sy7n!6FVMb8FrkhHfZ?i3RoQlwj8qHg_nB{io5YFv&QT zrAyY~ZX{&aO5%?L6vsM!co+)<4@9E(0%EL_+Lm=v8SAvMLN{o-rZ5gYr&p(;gNDJ~ z@nN`dx?Y{8TpACd4MWg8O|MSsd|4-zu}&vv)dOR<(r9~AKXzJkvMmG@D}yJ4^<$^k ztK-39U|Brbnl?SwX=7M2EE-r63-zJO#yY8EuudwY^<XfljCInYZl)P5OW>kuG)B0L zOS~D9HmOBPJpYdVXPvP6N~rO{4--r3)v5o52k`!(9j=m!u}&6YiBR`U0A8OJ`A4Vo zL0RhL^*=i0-`5kuvU%dh$z(L^q%wm{f2BFiV9GupbWaZwaUj{ih2^1Wo;<idoQ_wF zl4Uzq2*T3?&|`yxV5WbtbjcoP*n#`cARK#-;#jAq+kIix&3xE*FEQ3h?T>X*8S7L( zS2Tp?&Wm$y(wQRf?7F1Xf`{TQQVmB__2ivhRCF9n+v1HaJJK;AS0{D8tdq)Er{McV zpxuZNT)c^PVrE&zW)+Kp&TR`~xC^C=t5dOhUBJ^X41EWZvaD0H)X@+H;wDg8(vEdf z$6%dQ#yY8tbsA*6k=FZp09NcxW3WymJnEzs?w$`VFVl@C*6C#b>2PqL6K?-XjH}b9 zn@8Z<v~Li9i8c$?>B`XYuzqt+Jli4Sk4|sHvee1@e{@>YRUAq-DF&ZR)Gh0zGJ{P2 zi|upZ$`62PM`J}CNS0^M9C++h4}wq938zuAnFHrQy(Mw5|2Iw3^beLU+0=~L&~4m6 z=<<N#K&Iw~F$tRW?FN>wh{Z{!_QyJ@%qZhJZkPirUN(e`_H+!$I`up}2jVAHh4@M! z80*w^rP!f9D+g_wR~L+RQs--u{i%#~YCSFyuI!iqR))Hwty#wX>OLDDbeIBrPSzHT zbz0eK4s81-o<G@}80&Q9(;RRP9Sm27P+QhX9fNgJ8SA7n*6D4odXO=C1MH8kDf(lb zj4irDW;+vXj;tXV>ols|EO=BP2WSBl$2!G}*G5kDS*<x=swWuh^y*j=l<Zd-%AD38 z$m3lsOPzcy4C15j>}XNHCp3UluB}AZx=uPX$n^hyG!K>*X$RFx(CPrmCN5kAeT(;p zkfP<Otz>;in4o2|(XgU9rPcHgmM&Sd*u~&idn&jh#eqzXUHK(&`^E(5Q-xTZWNLq` zlgf-T&b8BG@X9e5+MkFKZCR%(XBI%w?cE^vrmBLmPIoes#S`vYL*OY|jk-?yd`+@H zb-l1omi1@BNpa|Xu4^;V)-2=ttw@A~_{DG}tf^qEQ;juqpyQbh;IpxbV60Q;19RcO z#nYhWQ);X0q>roXq%&P7ov}^{b*sUQ5ou6*OC!-A>(upH2e@~9qj>CVL%~?5cHXnW zdO!qZn@Mr3)70Wg5ES@YJNws*?~nJJ4O4b>hT-M($JCc9m8DL;76$Rrb&6iI7n)b| z#px+@l+QY;%plWWGGjCJd5{}xFQ&s<kZeGaR5<Jth>J$)JG-;j7ed>eL0D=9?XXNT zPG#wm88*kmxVquE_5{U&OwF<1v%vRt2%cO`EKV}DE$gH*qm0`)C<Piii#LILxQn)| z(?Xwh;QK2trrXnHR@Q05+HFwzK`so9q2kXvsq;0-{#3>~bvdyBR{V^>^=oK{WtMS; zJN^grKSf})HSGXdr;Z<X!Sl!B5@QcaGwW2X@-Zm$u^?JEpdAeBq>jNlsf=|}8S9i- z{Nmn<E26Mb5!%VJPHhr~X;+s-;i$G$-C3s*F;^fX$qC(ZQw-~L;HedM{rC#XwV(qW z+N=zQ)=v&Wz0sanrD^d$JG&+^S?c6xL5+2tT+4|2naAwVqNRT9q%s3gi*v6xLa8`M zv~8*%JB7!mKt{3)K8f}ei)55>AuHyAZE5kIy3Y23nf}4jC7b_h5}Y~Zi}qtE4rFR_ z{+t2Ej$YWJ3$ZxK)c#l}l^JE+uQf~IUV<yOy_{3DWt~19Sq+nh=RiD~TQJti>+%*j z*E%}}e+dzcbyDYRlKrWSb+Q@07+ws>i~V}*$4;NTmczPwd2z;VN*C+Yd(}>O>5vCc z52v)UP8CWWhSh_-F~6IB?4*vtI;o6xQW@(6YwfhQp&?kaB8^Lb2E&!8otpQ-VD!#G zn+oexvBNp2I`<3ozebF8N_qPeY`jmyK|4AvV4d<-JqnAeTH`Ho_5A;T8`D@ZOPz9A z(7?J*SC7tv`yIrq{4P`1T%A;A0BTV@X*!&B4#&ekXgVO7PusB&)gl5<yX!hR_3Z=J zPQ`IaS6wHSrOUPtykntYtI{}gv96P8Q**$jC2`OoT_?3I>!dQ)DPxuq7B(u1*S70A zZ5$g9ze^Ox)Umow^ZU+%4Gv+rZo00MI$zdFWvr8re>bo_RSs?LQ$;XK?KYkm21koV zqieXX(~*mFz`JfVj)|ibvQ7>=m&2@crEuIxQjx2ZItJ^cGS*3DtkWacb!iU=mBFYT zGzROmap|@F6SkDaJMz~-tkcnI+o8en+}OLauG8r{@1a^Pd#uw+KNPRnHx=@E1>u7> zMgQnzs+Ofrx&KF}e(T3U++J_YOs1`dbyAr@roVo*eo(egF6??IP{e^`N!Cr_%}IZJ z>g7&tB^w=49*h(7BTTgw%=8bIE?Jv`xgauELG<2BaUfG;Gp;ZU*j)fGCKHR3Ozn?# zQkhZ48GqG-9^$26nFm}%Tdq#EigyI-#d$Dp09}jX>eO)95XjlZ536;ioi<k|b-pIq zpUPOLfjz6hi`!wiXeU)2vy7Wtv@tlf4affOlrFAL@6L~gLZ8C%(m+y{b=n#^9SY4W zhzqJv>RBgs4Ax0ytdq)Er##KqrZs34jQ8fz7_8Hg>~3k{heFWxRIp&IQ|<nX;M7cK zOth!CD&o&zsNL)eOltcbBEHgQ(LgfqgY&@n!vn7uFZ@TR<8`vsDUStps8^>3mtMlL z)p;@S8=1;FsmuV>;(3Yt5D=CRaeF=y2h18@hK{kp7+qJ_Y0szQ(Dz&@#zd16CK;!) zbje(gY=xbkkr>*H;y|XxZsC47c%?8tEJrL(GPN!1q%xz7tI+%cye=7np4W7p?q9wM zp{0Yc!!KQ@H^m>p+@gUP+9_C!!8)n)HOc-|#yVZJKLIOplt#}Nls>bJd*pusW<`|3 z*U_XH>(t=QGiWfYI96U(P%zf1Q2Hl0RH!gMPo)&HPU;w}lgd~pm9b71p)<8zVO6ke zhF+aoWm>`Anz1;bC8@(Yecqc5r#*DW3xjD{Sf|lLa^s_-&tUg&Dj}@X`G%iiW`$fh z?}mQe=~<&Jb;@fY-1ti;7u)9$)aE-Zltq|zQkg-fKdt^9SW?Ua^J{cF6(oBac@C25 zT4VP6u7VjQYj^M<jJ_@21a+BKndu)aT{5rATcDShD-OR)aUfIEaocV<aM=;HGsNN~ zQ~P6`RA!WMYcfv3RkXofopXq`T%C&7y$Y|;5=Tv@%dA|TvYFChK`8?+%b>KdPU?J3 zvOkrvPDd-9g?`z+aOea|p;^YocfAa2K6zl>Uz9@DDYC~CnETol{m+rItkeDXZ=qU@ zBQ`Eg+R^+B26YV9NoA~)%4oR_hD_%i@WMY7I}{*IxH>&ZiH4%%LonM3I=*F{e*1re zzzw&-$%2-JbsGH9743Vjgq%I}>U8GQcc{4IBP4v(uRGbb%u*+R3tAYxI*s#R37Pg~ zF<>Bd%{r;f0Mz1+X(7B=8-w|$`inS_%>RA@_`ENVwPxx%*{6?zUW+Q@tLwDNOfpVo z>5`2d+YlOcu7TG*tVJBi)U<W#0j;}NMbk5C8z-6CmUU8@QO3FLm;%3ERKPApbe&R8 zBtg4#fYt1EogUs=0*6;c<J)|c7S>6fuSxc&GS(^BJOVC!sEs9hQwq&8F0#cWIQX(Q zK1ii>u}(XWq(I9BwQ#EZy&&rpbz~ca{jP@Jyh%lxpTVGx!8)moby68Ex54lLcc$I^ zuO@!YM>}oSsoH>`wDgj-@widfDYE+sFxDx8o1YS6o#w0;&oec7V_YD$<LYD^U<Ruh zrLd&8zO##Hm!(bt7PK(BPT4z*ge5C-;T3;cMXZy`3_vZO`nQKut^Dytk6a=SB>QNn z1c&zJ$Bb=G)K)SFmr!^yDg=*|vJlMl50)<3fD+jt@=iGJ?Ll!MQ`5JD2jrR+itl2H z#Yv|2$2zIZDC11`qhamdAe`CGLA2%Slx;x+a83|ET5|LdjH^@4;oTsuVP4Gpi7p<n zPU?J3vOkrvPCI**fi-?burp9<%rY*|&Z>}Dvk0z9rh@?1>4(i=ICrlw_IXE@oON>d zm<-{=3gM5l)RuKp$6%dQ#yY8tb!u~OdzwX32&UKvivCz9zr;RiKL&;3%nmdzSEo8< z=Rw9^H!LxO80*wJ><Vo1%7({=(<Z<=1<qOy56};HX9WK_cB<1QOPvBO4C15fRAXc& zY@QN;^Dok3vQ8>9$n;mg{|G|ugHW4D*O)-E*NrcMIe$Sc<WH-@DA}QJ;`+t<aE$W* zBv!ZSA1qz6J!jTKScww&s1?P5Oic%uT`=i*1YQdu7AKk7AM2ztql~Lw<D7W2W+*1C zpj5F=2MXSXsh+_&;Ec0itkdG3&tQa0e%vl^6|+w2d`+@Hm9b8Ha-4&4XUkyxeyY%B z88<fW8uWE4jdfi~Pu8iT>sv@M7sKj9=!}weYP$6oY?)I8kB*|WvQFw4tdq)ECzY{I ziIx|%uidL*<7at9f2`Bqk=elORaM+vm^OLVsjqlw&)NL0SiBxB3+pt-CqGtN{|v&P z(<Z<=eXHq=Da-uv%$|@xI`!_ArB3-Q4C15fbp6yjxcb-;J#LZZtdq(NGX2$BKY+OQ zE@+%ZTRKSA@bNkEwkUTrMA%SU$vW>%gYr(^__6AHvARwFVCj;Dbyx?TruyTJJ`@Ks zHFb+`hjw{#VWSGf;v`f1W1UoHlyP1EI|bH#J#f*EY+_khC&wZ;AgOOoyl|7MC+k#q z+Y{*2%^7o4q#YpZq|VnQ`%@X~bf?%wSdqH`&bUG;G|RZdjc&ln$oz;glrGlk`GgFp zJ6)WdKciCs)+wjocbM|Q7yW0DcC3>+2J56U)=6co)3mv6upmz<Jk*NDWt|!i&kxQ; zqA)hZS1{J8$W%-0Ir=MnZb8e!I!!B@8y7u20Q(=3+N@Klx~^#1(-9|$Z?69T>rTl7 zveYTRg+Y9Do%Z%T31j?<;hHkKPAW6V^p6YJ1D5Mc;F};_r<?azLc)X6_}_19u~<eK zm-}b3P%Ii7*4A}WS-OlH(q%NXpHLCAZPRsHc4I0`z6+SpUe`%&%Q~ryb?UY;1w5{o z!JD&nou*~q3^$HNVZW)mPM$r|VAO`<nD>OYSZ3BqoiFR8GS=yq!!oG3tO}kC*L6xL zu?8+Si^Ul|sUomW$G098Zw4=qkLOWZS*N}wuR#SX#IpCPE$gI?!8)moby6AYG;Hps z=)o&%;_xY?3F}n$=fN0{)LJ;?2W={>Q`)rW@HHeq*4s?W!aB`q=84z)hzIxh={j9& z{0ko3EQ)Do^Z(Il=ddhw3i=<Nk``=&@O63d);!v3xH_rKAk&{zXDLjskq^hOpv#0H zS<}zcVAqUbJhIY~+Di67JTEFOIt+V1e=W9N(?3|cWQA(fft2<|abTqk5eMQ=9G^{U z53V7F(drkqjgw66k9ATR>r{18JUosM!A`LTu`FDjmamx$fjxuJKOnncT%ESvUk-h% z1tI`ldS#u|`La$bW1U`@rooqO#c{_nN}*XUUz>GF0J9<yzfcNUr$Rs0!O7f3aA{Lg zmUXh&u@~A3RymfmW1ZA7SSOXSPAX%ae%ho(4=o&pJ#)~wtkbgEHDl(sEQJq7(g6wU zl&}72i0I{pg<NP^Sf|&ut#LrYS4gc&YIAi8E|&po-TlRz=mY-fls-C3oeEe`;`Hhi zJMcN2GKS&1+f;Q}CzTn1T7bn>m}^x8t(MWWL9#(N_rtN!NUXV*s)<puM|)O7Mp{WM zd7M_Q=^rdzviY?WVe#D<9G2&Xhy(FwFl5YM40Y$1!O2&sZJcCkf2@<rj52P{<Xtd4 zcX2#@?4|ghb(%f+Bs}vhibp??VysiMfw!Qn_~LDBZAw+LY^%=K^bfXEvguV1K(AI6 z@Z(WBlQm10Uh$-O(j4GO7rNd>%WW{&R(lL%JW64XI6BK@oi-<bglnBkW1R`KIkHab zxU7@PSSOXSPLHzf*PJ)i!utE@xR7<qH-C{<yIO4=)|#p@>oj?iCEgk1hp(E_van9` zdjz4?i=R*-!(A}eDYAGTJhh_`?r7rsM<>IiEOiRDpb6_bt%@HFw!1%Rorbp(U9(Oq zGXS;d{%aiM3UPq`d+Lffkj!DvB<S4A5BgjyPi-X&T0I5s*@Z%#+$9Aw{ez`Tc5&NO zXyX$NzrL0baUj#M$#yENn;i)+Y^iOWWNLq`lgf-Tu8*irl`7<g%z>I{%Q|g(Ispb8 z%Ly%Gs|m(By>J=_EA4DxZq<f@u}<oIO|n0gu}=FO$3nvT`taiweJj8$<4#+Tg~LnZ zVBC?Wg0W5|UB^I`p<|)I6k@EC<8>o!^{oi?nl%@UbyCM*om9p;sf=~ndas3e!~Ar( zAJJI!$2wJ7-VO3L9|dcJ8wtib8QS)PPs?{}^}Z8hovIG#2u~}Q)3%LiAsFjat-=^M z9N`4_mh0ar@K4B6rw|K+_~<$voo586gB!GSCEJRwStpelWcr&#jfX8w&u9$?QW`+A zyEP}n@dIzPw=*hJTgk??OMssfY~aVG(t?@(!O|tm_F@LypW*|XR#P0v)Od@p_K)yz zfzZ9g;v`f1W1UoHlyS4VOo37HpS5d6Du}kM(~~n3;l`Z1+Bu6_g0W7aAI3rn-y_;E zD@rx%q|VnQ`%@X~baL@H@OU2qGuP3kXO?k`9mj#!xfm!gy`^BR)6aIJ;X<CyP_ZX5 z*6DHKk+9t-06e{03&uLBW3WytW1UpSI&CrchwGN3VdQO6n|1m*WhB%uE506hgXYFM zRWNslI?i3S)!QkKb?TDT2u2s|7}KIeoM5a|ql#moW#>!U?zlF8s#BHOS?W~K!XQ4n zPMLkO!Tz^b(=_=yV%AAz2ATfixvk)O?VV}&8dVpI0Fv!EWDVOE&rY+wT~08gWTjr( zfVn~Uw4hOR)5i1<mM+<Uwmz_UTZOcaRVfZ+YR<KDhL_8mq^;^mEKV}DKh{ZQMj7|X z%LXdNPfh!tNGh^U7T>L)NbePC_dP2L#yUl;wS-UC&1pkUlVYrsI$x9QPi3srg|Gl< z7iFK;t{<hqEaUcu`@+U=OZLx?uP+$uG%(f*UgSuN+4GGU>(tWkwN`b;^Zk3aQd`zZ z9fNgJ8SA7n)+r{YFSIL|8gu=49nl}_G;m2Abj%mFztR5Mg0W6%Ti0pXt>2`*i>5f% z>4{g6R-}cMd2t0Q4Xl$}i<}T>aWGALqQ9xU^ZYDz3binZkFL{!PBUTqn2B2Y^_rq< z)=6asnf?@*4(A@GXq#<N#DQdq;uXcCBaUhByoym<$^IW<=N%O_^EKcgpdzBE*u^e_ zB6jSX8w(b&H?V=Cf{I}8$SNvQRBR}Ux*%AwpddCjS$h}7UKe}sy?!%uzn}At$8+GE z{lmw5XEHlaZYIfY*4h*apJqLf*AJkV>kR*3X2y!2iUz}?0+3pt#sQm}mb0Q@Pm8be zkhYZhF($T$I*Clr;tpp;!|u=L<dJ*aNG|H+nY#ciitdp=MN`F4r={ja&?P-VzO#}l zhB}GkHL&(XhB|#*vkcZcJHl=+dhpa(+_o=Eq4=TdP_}VL!ceERL&<Le`?P@SjG<0r z0~f*4SvJt=Ak9Uc#6D0bk)ci^L!F#Y>%pPT47fg!9vM)lnj`1KkyLM3=i81j)M>-` zdGOP0Enn$R<4~t@<@7M6WsK4HBP|W6Q%2`yu*<kz?q=QjPj!kl<f&6_3yJ)3osQKD zhR(I`8S}5D&Hn$vPGAz7e%Ue@-j(iStpBn-i37$Sw<kA6PR?v~sS2GgJ!9`02SI`0 zINiQkbclw3Ff(IqZKgnco#Jw`7mWipHLmevp;*#QUHWj!{1_A4L!CsXXK`I@Mnhb? zpRG<Gr)x3PX-ej3NV15_+As$QL!DNa3x?~hVvOA<(YF$H65j&@YfogTlloB)hQj{x zN>{pm)L2}_6`}AYbDsR54&D1vr+1#@xl&{|^9-R3b$WDZ7#v^IKpqrDb5SR;57bFy zg-NU=i41kRurC@eMi+<V7PJh|_e+w(hepG$+Bf7V^2o3M=`_aL3zjwMua>Dy<4~t1 zr^ua)Q+rg;Sv?3topubK3LSSfH71|nAMV|`Ay1uLEojGFr_P^jV05iIT4n%!dr>Em zNkB7BG_?fp+m2ez?>Z6(jQy_mNuK`GRy#DO9?fO!lJ;008~9aCs!xY)_y;pH)~S^Z zZ2Ng%?e~FRnFTgA3zmJC<!P_g!=-4hA7f&BsFTR_EUxx|ce3~E0@@*69g>SWRqp>w zuJhbM8_Rxg7<C#|$r{wkRkf32T9Y``NgS_%wI?#vsidbHjD31i-ByiGi^k#{3^gEP zT)JAri|%HqlTTG!xV>$Nn*SSRsM9mMPqJaBrbZ8@xu}!a2kIm;)JbHh(+Hmk_~4UY z?c294X%BVsO_>VUrAT!`FS>rj>SVESn;hZTT>JHiGSsPwRVi5==b=r0M*odEby-mn z_IIeNbz0czPj$*p%~Pj3783d6I{Ai9g|R0M>d!HB=%|y(BsTra1IIu_(Qq~SKywlY zjBV~T4E)!C8uYF<&1LM-p#Ctcvb8$7AH9xc_y;pH*3WMQ)O<P0xS<k_12#36HV+2x zqlb+<T2bc5nAjfbBr-kbrVRoAEA`ZG?DIdUlk#*VbnNS|y7r_WTt=O~eH#bs`$nsy z*po+4Cvm(6)}F{vr@>+KAu@7Gs{#4x6lyGPdiq?b{N6=3tQ4It)G7bTsqkUf58cTq z%21~P8NuLQsDv?a2+g%3FY<v};k`$lM20$vtUAlhZ@B{Qm@ml3KFj3as8gS}%b{re zEcs<V%1|f&>D{60i)-rakCdTKr{~oLU2ZY$q7OYNqD}|8&4J>&8EWG-9)EQDvMW!W z+$`uoxK5*%tc7b{5%S@ebWMahiA(~Tv1r;#2+=3Y+2mWI|I^8*&|;{w?U+2WgcHqW zaa~76f&GX3@`hez2{ZhInHkd=qoGJi8%Ss0(E~O$&T14KDD_S5-IC_|F($T$I*Clr z;<|NN1mnh>lPB-2N^(&r`OGqKj?a*9N7IUhIz4W<3LFL{$jg$N5{5d7<2A7MM20%$ zUuJ+UUmPKF0Ikp(i-TeYSZS;Rm)o@>40Re+WG&RmafS45l%Y-!79_yk!Udr31)7UG ziG83>B14@-hC1nPhQr{>;V`p5-MvvK?acyMv12e;`O(D(>J;^4DJ1oHq1!r+#-UEj zJQl;lW7myoRp}xCb#lCt2u}WK^0V^FADznV%TuSi7Q~IebP77{4NGdVvoo3gFWr33 zB%ti~-8i^5JOH+Lq93^e#tJT30HedFK%?H33DYxncEDUXv?3gA5=sze_y;pH_Pfw5 zX#0C1B+jRCz@{eT&TJ@NG?F~unleAe#P(1pk?C37cXFYiX21-Hd0&C#{(p69y##VT zhCpBT=|t2i*)|@A_V$M#cj@T^*NKnUz}gev1Jr56uQ(__VI}O;Qx!E9H)7jLICm}{ zYPV@Z80zFbcnxIh*1-0g^!gd<Wcza+yvkYt?|;)=t`qN<>%<w?i8It`^hOt$FxLnP zSE)9r)9Zw;(D7IrD2E#ohB^hTS_7|I)rU7*=)X~?_@7%~=Ggo4(MeP>)ai5V8px*~ z4c+?iZvi(|^VF%Hg+%^%b;=1*<@j0ow4i3ANz+)JL?*H6xBGNQwypI@?UL(9;()Ol zt1Y0=z(eY<5W1w(GgjiVJ!HOGuQn~_L73qm%*@!a$~B>QgJtT9E41JOo0^EE^00c} zYIWl$%KR7;+e4j1re|?gQ?0?h{eHEtGd)R0ou1TvD_b?aq;A>hLm28*x#<--{qQSQ z?J<-v)JYt#fwd<x)G2nhH5e)lQ*%F#Ah{Zg`+EAD>|eCFy2zd~)X7ykF7MuURabI0 zWvElWq!jsA^VaHJw~>UQPGTRZlgLmfk)ck<f6oLv&Bo~0eK=_kb#l5f1Rkxap<eGW zj4;&cRSA%rl(Nxu>6D>PSrMVeQEv-tBjV_`piW!+-<97dyjSN92>Mf<{Ep_SQ+*4G z{BfP?hAo4`UMI8crUj9vQ74f}Z2FTsB|wJ(*18sJd`TQI*1{$Q;>MrS%~?#(VDyZ6 z*H4A^FDuI9chGf%;UCP*SlH@aP%>b$+;J?815~2x4k)(9Q?^@3nIB_fd#IDh^epbv zrwvfL!c*NlCwc~hI-Scjz_x?)bWKWm6NWmOYOI1ct>(Ad+|Zve)JYt#fwd<x)ai-M zI`}X<UB2=;kmPDC&a3nqIJ)hk-05uqVW?A;U(2D&_fk-|ER92*o}Y;Y@BVY-5kskB zsFT<S>LfDMNo1(g(x6nRXxAOe8HbYgP^VhWQo;3BRk(1KjtzC1ayT6JHms-`e$zPA zY2K<nFyd&cnlFOubb9qlXw}<amw(f!KRW48=c!Wz3yJ)3ol+Mk!ie|B<mAVrNO!1{ z$RsxX>AssG{?~nZ$=5+74j8j5w+r%L&j*LD(~6*H%)jYAm|eRV#6D_GnBgDH%-HfX z2cXdpXXuwf<A6=g`EmQfrllhcJ4u-zV`6)#lgRWe?vQmll-QUbQbu}_T-0gb>21*L z{s(zxAiWWRI&E*h5w1VHDPLVSgfP@e9It`3Co<G2IywdFdV0WsE?lR%wNhZzkzVk+ zHrMIsfh2fh4ud31%220Oo(6DTQVT3k&|K6>>;rWY8R{f5)amk*74R(IYM9cH>l8D2 zEreE`2c|Y$C$||Z;Dt0rHjm;uJ&BqRFeS6q%rac3yWvSNYx_HSaY?SzrVDxM)X+jA ze_W^N@_V4DYjY?%gX<(RiA}%ZWfnY+=m7V|ah<v)9)qv-d|*aHu2aXIXW_R`01T-? zl`ybek(n7wEqfNq|IovlAMCOyn?kFBXJPZz3DB(&*GbGpokWH@<wTwU>B9hMp5;mU zMV+qoJp|WsyTQ*3^nMlUG~~nqXc*BJ4wU3NiQ`3`M20#QOiG6W>tf;PX{w3Fw)yGe z4CvZx1%xc22OX?VQBo!(TW*E@wJ1ZK>Ym>Nhg*d~k6v6Su@BTqWT=zKP^S=wMex4D zDKMo|bzI3ylE&Ux4eP&UK+GXJHmpu#hNeLQV-Z*@ah-~t+YHTX#L4@w(@Kd4yZK|% zp=$3Q(0J>}Kh^2P)jV}-^p{SJ&0C?v^G$Ga6*U#BlgK1C{hcy*LtM3;P-Y#y4+V@( znRE~u&)Ew@L+A|)J!8d}9fog7Dy#~oni&4U%#3|qlm#su&cK;LT&JV48f5-H3Tp;Z z=EtT>Y!7u38R|4;h!G|Q?uVT}I+0w|Dcor<tm{LnR(`Hiqu4YUQh7V*bc0D8Rwr@1 zsFTQ0CuooezhZB|oXb=b)TxMPGK}Av3%(QR+5~lS^h|~N1wVmt37taJsaVOKP~q%p z2p>vSv?4D_68k`%M20$v40THD)(AW<NlLa0*XeAFfpGcmd)Qcx>s0*pPH1y?DYPt0 z<2tZ@_jlY2y9W=3>A$GjsMAyOJ;3U6I=CDg@kgg8xAWAg@n1Ui_?-ymWoCG_iJFQ! ziA-YC?`zr&ZLU6sp8E%oIAAPx^e!;Ac>`9f=z2xZ*zT}>up{U*1aAPs4F6ze#$L?W z0SOTnO7vzL2TYyXv(mw9)K6%-hB80K#P(1pk?C2SBhe<k);qXZi|gd=v>jU5zW@st zdT$D=Q^vZD(DA}UxY^r}Fw{vLuYt8EGSsQ~f>?-YQ&4GrnX03)xJk{I!^y9<%IiK< z9n>knE(yHGmr{bu(<wxqe2;GerzaN5mjJ3F>Lm7oI*AN*5*g~W`TP-i+)M|>7)sT_ z>QuCUDY#nPUisXY?kZTF8n)gJC3~EKg;i-B>a^*U2Hlo#f)G2dQ&#LsSmpj4T3!hJ zqm%uEJauxnkjNiD*cA;6fzJ1Bl_Ixk)2NfkBsTp4<V@mId{L#I6W6JdG9TQZl3$SY z;5v1lx(L25AwMh@#dQ*ynYGtrCAm<LQ(g(%$aV6Ko)0xIlvP3(aGk_l)JbHhlVyV_ z7<i9-nf*~mG7hXx&M(5@+o590$PBs%qD}$(rjf@#6j564qNfz7lQ>?~No1(g&NLZv zi&RmP3v!*}zIj4SU=3yAXsQnCwBu1Q6iTSC*j}L1iaOa>oJD@5qN37zG0jDt#6D0b zk)ci^L!Ew}F06(vtEf15a-EDd_UU~6$Zy8{q`M00G?83Dac*LzH115d1$Ejmd<(Q} z@(hL-rIiw^(}$LQU=#U1p7XDOKRVTWmZwfl{?aL@^flSyc6r5XBiBh}5}SU<1)pW> zj7mz;_FSh@SM0#9c6DXc8LpH3qXHcHSX0?JOd*?UV7VeQGZy^ws~mjMMOn9s#sS;Y z2YfCJQXv<m-$cs%7!z|*Cy}8}8}1c@@2)kJwAs8mIp4B^>2Iqj#|rZ5ROIq2`D9W> z#p(dpNgOZgBr?<~<v?#)e&MQYxj&R_pT@Q?smnb1lF~q_-jwUqpz0O5fR~~S^Py9S zI*q?$0e#40FrM||I*EOtP9j5{M20%ODbi5;HKB}h<Qms$XyQlp%IgZs!a=lO)X5lM z0pfIJl;5_Lp-y!}f}mo25#{7`S}9SduOVyYf_EL2w??j$_nSO*YWkN>;~Z7Fq{A0= zOu4b7X{=5nli2iooVzbKZ*^T=YNBr?Fm|tC0XRK1L)CSrYZE<VZ7!67;$>H;#h=kC zVfY6#GZtE=E;R6tP$%!8alocV+guH74=q$XpQp@^F|j?=No0B!_x`voG!59M##!|w zxmcYdY`@C&x*k_E=h5{ZR;Mb4>+-NGx$5wSboasPB#zg>+7lV-G^Ud^JdW+4W?mjm zay1rLZ1p!e>H0n6kXJ#3VRh=#`nX&%u8iE-o5rC|tDdIFt#h4JrD!l=R^%l~VjrlJ z$WSMdp-yHSJ-AuiJ-DboUGuuK_NuM%hmWTUss1h_$iGpiQ`;4JTUb7=&~nO9rztJw z8~uCc*QCjGTTrL1hi=P743E@Nt;YPRPE$VRsZ%oxIuL%an^kiebgDM*fYyHuX&QAB znFKT=wbdF(KR!%1e<s}vfw4}Z8{u=rH(kRqbd&Uqy?L<%eDAo+#iQC2X7~p)GiL9z z2ZGi_$S*u;9I&bBSbR6sQ~l)`ft2|%Cbow<iA>MpsvO!3ot6}q_gc|A_NddbQAzOp z!5&@MC;ACU)G7TSx$YEQU8gG<Kp5&Ij@Q826B+7MW!GA0f7&ERUZd)0EN<S}1ejOg zo?JGYo*AP~uTL)rmjhK`>l?~YrzY{SFtgEOc}_d380sYUfjWr{brKos)FC$&YPIeQ zQ`gbm0(F`-EfsFPa)xR9=-5!Fird1WUk_`wWG;<Eofe(w1&?hE>bU@})6<VD;L+_w z-O|XAKRT`ak*7}0EhO^Cb?RoB2<tvwkbj;GA>E-)B9qwk+f~>C<1AjwXKoH5allwq z-*h<Hry%U!M=OG!vDH}zVf6Y^u<wuuVTOM&Gh_R_Rd5;R24Rb79I&ae$Y+G12dl!s z6w3S<6Wc?bM5bqP!&mKr$<+#j+L2yTMV$(F+yU<Qf6KQ!a-CkU+6XC69?2e)hm$ze zNgS_%wI?#vX^V9VgbwtAdv&=^(c~L60r&btx-HkKThAnTVmBAY-lCNQb!vEL9kiQS z53)DYT+~VI19cJ^>LfDMX}<SL2s*w7u9oCFrEOXZb+66`KPRqJk(w*uWO#)9xii=4 zf_DV?WVg`G`%2Zu>NJEr(8z23Pg(sO{6{A(-~POQ^`M1?ME<x=_aZU?w#qPK5Z6g$ z5}W?iWFvgY-vz4o<~oI6KLI0C2SI2Fu2ai;7a-|;5c!-D*GXh%)?SJs8;b1+hwInc zks+Z@KObd7|K8KU?-6CFlbDM-i41kBTlO?K1P_7X3G^Bm>SR8D7(#vfK;Z6vgkg2+ zQ|%x$$=?a;f1zs_)JYsK>LfDMsZi;3=u4h9*L53JM`PL@EuH~ua#umqaa5gajGbDt z2X0l`2@5T`PQe5Az?Y@7p|U&IN$dl45*g|wGSn$XzX*oiJ_D{Rs5-9XB}rig65z<z zz2KfgcNMHok8RQ*Wu^mU+@o<FSlr^cO>o5}N#4Jo>y)!(H_SNG7yK7+oy-OE)T!m) zI#u5aHM~>7VLB~*Se@<(Ok&fY>5&dmvAaPZMwfKJSltLCM7}-%Cpz<ccKco&gGIK7 zVN6G=gn`A0%*<HF`x=}bdme5!<2rSJc^J$iPr|^aTqiLXbrKos<bO(onmJkEb)yUE z7j^nJX&-z#lnI9(@_Tl34yS>~f;2c?@jp5V<Nbe~1co|oA8CLN@*TL6PBlTDnk`!o zWpf{rM}N?@3F?%Pz7=+#{|*lVXhp#4v~Bhdupr~D(w3@-)k%Dx|6eDe-~ZQ1V5n14 zg+|aMB%k7F%XONyWdNj=`V5c1)3KpWeZqIbm@zA$(O0S%>h!2uCZrw>gu%C|+E|@> zY)*!uDVd<#F#1n*l8WZ3Q>(vpTI!PsYg#>k9`mWGsFTPfHvL}Y<WkZ<hrRKBBn}u$ zUYZVvp1p@Qlj(Xz&)A}u2jQ;$cd*j8CCu;-W@fBd?k;%I%Tfslr*VLL`kPD$h?JBA zlPL3JOl%Kz5}BUG^~)hw_b+^e)&;mua?B3sy7x6C6yQ3=JlP08rapzB#zRRTD_O2M zUc)~a>a-+h5u`RNq{Qx~>S!!3Z0R!aYFI?c$Cmb}Q|XvQ*fF83Qsy<CLe$B#^Cp;a z)ly0JpekCCmn4b(qD~@1okUih<-V_UM1D$shq=Na+6PuAk3A(}=h<QkH03%)yx#`7 z<+EX}1=nfv85KHDO@+kgRBhC$+R_#9`1>xs%@lb}pHxPC5%Z5Pq;Lurmbi_}D2e zRcb2gBr*wT#+`e5aI!C^3@yNQvaJyfWe1g1jMceL-IB>?r}LLp&ic0{?HO3E$jppw zI5roScW_j;GVOp(%~oR!bnaMQnLV85`Y|TvqD~^yv$%Ib3*cg(QcB&!ok=cMCl~v9 zu%>AVrS)=t3wYh}8PK7Cy>f3UJ*7aM#PJ$fdm=-fydTN1aCcQ@>r+~FG#0m^lNTK8 zTvIvVMXLnr^n6GNv{4!<)i={=MV$uu%mS<Lm6Y4#sEStPMZS+Gy!WV+$WSMdRcE;& z53JRe%_=MVYIB`*C64G4K9aBC-Wf__usTgqqv6#qYo&2rx-D3p4wyGXXq}hP=Pgwm zbvl;Q8wL$5rjVO^f2vc5@_FhcThM`UovLoWE{D50D#fC>P9l?lW`uS4C0pdLqD*w= zIxTJF0E?#8P)cm!Iu(3U1NyXaQ9O0+$fg=tuE@-c4g78m`N$8oO5<r9u&KH6r6hbA zSWDT|nKD1d#9Y)#WO^3&?o}DEp5dgp`SR-2=ztC6DAkk|Pq<FwD}Rt5zOSTwP2f6- z<2A7MM20%utmh*i9^<CKQLa;P)A{lN>qbh!GF+!?p4a4^XWA$S8_+34oen+B2ai4L zE47<&oy0y+Cy}8}B14_JhS$?}6f39X+sAdP-sP?8J*lFyLZ<zqPMuCV!im_j%7#}| zG1RH-kx}6Cu&9zYi0f4H&RW^py^^vuk?S<3N}f7_1(k#A<Ujb1tS`P%b?-5SbcfYR zWD=YH!ejG;zu$ay)Js|*fw2_13hdn6QFRQU*LC!aJ<n+ZRR`Fq&Tr`%mf;`F%vieQ z1>?_MG#1-O<4~sqSqjW~_TD(>3T3F1*dFR6GSn%bM@{&d*i1c9mM*)oI(>Ok0+P#) zR?BapZ)Gggq|mqD^0L>l>f<5w)B~%NI9}9AWT;amT`|ZWb~&qw<wTOJvG&gND+Kp# z=jvA5Paq7d)1h{c<^FfJ%ZK_>hB_6ze?kuPPdQk>4b8P8FG&*nK%GQ}I*AN*nlff4 zdDwIvx#6I(q%Bw0-t1MwV278JZfTz}<lm^1YyC*Mll@+G`x(kmC#O!US{?a$TwP?O z+tQ2W{;2m^?vc4voilOrpXwA_Gf$nAzjVr(I~|Vyey+1mo=loWokS+F>EF>a5^QSK zm$iG;Xke_)>^OL^d7^yg4LuRpGj?rSB5cTAA$P7s&#(;tU}naCb=wFB)@RAPpU`Ro zY--l|CPST|t#Y6R&GlnUY!7u3nV!X^kBf&r3ueoeqG=^Uoko9I1V`rdltV|*N`yKU zsWJ~zw^Wu3j0+|VbrQ#GVC{(vbs9iUupgiKAb+h+HPKkyVQnt-IBEy7!+63_r}hvA z4)z^DE<qXUbl~ztnB#U)J{3iCQ75qv)JbHhlgLn~phI!wR=YQ3IZ;her{2?+!wma+ z@Sp+RRZyqQ=7S(0-nLcq8eFF(FYCbT$P()Ng<PjG)AjIhR4aMzxk-O?+F2)0omyK+ z<d0V;m!A<(Zqhf|r5M*qWD=YHJJCxa`;9FOXw7x%vdaMLzEptyz;*Ikw-rW?tPS@D zQ%wvkS7c_!o{`5w_{7WL*M#dd_*^P<&20>YJ5c7wrc2C4okXT*ac+k75PiNf%)UxL z+k`sxt+NV-O?Lp<G=wnJscpYlIDe%8jAmE1Q73V{2G*X)P^S+`(U5wwKim$bnrJL; z+r((-z9Sf3^c+VR>hvon5<X8{3O{TpL!BP>iGZbh+ryPtG#7Oe`#_yUhB}E1b#l5n z8x9qVhf?dPI;hjYxCq$rWgc8gq`M00)J>ZSZ!EIp+*lfi)#>vsU+DLvm26Xv>*RMm z0s^YogKrD2)3t_q>eR-9*z_Nr7MNFp`*klEyJ8aQ4y%*MBsTpwM<v77p#I>yiyr%d zv2SzIV5wIST#BOy7(HXDgAT&TglX_0kuHf1|6pduGI9=pN<PN5F^t9mo0`g%4?^2Y z;m|vZGC#(|_E0C0=~>*w;B=T=ZVZ@ea-Cij*b2&he`sHw>-4@wBD5LM7q)ngCVikz z;&=_LJ&~bKbLXvqzJV*?>T9Zr#^PYXN?1P90Op<apo2Pnsk;hnKkNrjSISVQ7PhOv zJ0}V@j^;XveV|SvL!Cs1IyuxG2WifS;a3^1Q@%j*T!hbQFt7~QDZza?Tyb&%*V0_4 zS;;Zb{k&NYI7TaFFY=P4>wV*3?ApOF_t3;Y)#*#KJauYoL6doPx?Ug_Ldgd?jQgpn zsFTPfpc!?SuZBibGoVjyAc+IUmS=1N!}~1o&!H#cdd4=#lSimlKMF;jc@bv#2QxD^ z`S~^&w)Q;KyG!GMP0h3OJE5lG6x_N=nIB_fd#IDh^ek>#;#PQfONC(p^!_1MCtaf? zP|42{7VSr`m0@-2IdmmN29s@^97GuEB#zg>+7lV-l=g}I+SIt)@ZlHLL}PK4Z6e|Q znMcrj6+M`sPLuA(!t8gFvLT61A?oyM_A+RC^&+^3Qx&l~iG83>A}dT{$y5t-ggUto zE(*@BUmz!%s^iMyc5H0`3m?7!-59#7V0C)5ihO`3Cjqh>(KxJ5Wvj1-hJ|OszBg2D z)afZiLgd{{7;taGADt>go;tO&pc}|_`c!s4=vv)_)Y4ohkx4)^+%_!*%au=IUk9#J zzH<h+Q2rf!_TV~A-oF(RdVPhT0aOVC%N3cKv9H~e;N%huWm+(e12#2MnT@c2&M&y` zN0}dEVlL_=GChmSKCm9z75D%LZ}%p-sFQEURnX@4OIUQ=k1*6}|D;%`68#w7-lV4# zsFOHe18YxYs8gHZ5GZe7P`TEb>ohuY3KY3tSb1=ks)IWDCe8=j-Q|=vv*{F~PRo8S zgw3lg6{jmS7j+W*K%GQZn8Zqw$WW&gpD6j{!y-zM6W8fT_Cq-{)K;1FDTw5uPTH_# z&?NK%j9NeyL!HLR$q@f?7x;JMI=u>=0p*51hvhA~PT-NJP97F?1G!GQgSx=@nKp{2 zegf$ZtCPqipcy~r4}+MNc8Yc@fW!e~;Z}NhLVj6ujvd$OLaAuDt}Cg8`cNedEKX!* z#&YM(fb^GTl$?n)4s{~ubl?r8l^FvlL!HE2)JbHhlk|Ny6pAUXWbWWPrJKjW%fO<_ z(+ONBze>I^xqe~gxj)xQ953o5GSum|Q&l+CqN4J3H?2e()2__jIuIXQO<7is>$Ebv z3#>oTKxsXVP9f^_HNy`)c2!VXH0C;qeV|SvD@^hwNo1&#RZAyzeVMY#jY3=}_Yf!D zz}jV%w)=xf9_qCI<9Iln&r<2aKJkD$xx_DnS96}j(xtRg_F{cB{MiUb6|z$T){XyD zo&3D=)T#YnIyFlCEGK1_R+`u1I*CkT(|^mZ1f)fkS1M$2o!(ri17p5aQkvA^I!)-? z7Aozprr7MDN*GwK$jpq5Jm&;&AJtI4-J)^8rsjKEV<;lkP^1Ht`7tKuqD~^yv$zJA z8$#JHl@;TEs#Ex^%HVm}QL&!Lb!xx5FdUy+PN~tD>m-iXz}gcT>NI=i5_!dC7iH5h zuG934R9SbTt`eO^rxmMHzjL4E;k(Hr#2(RUMV;#1wucwjYAeClX)abLu@BTqWQ9pA z5kr_G)T!cAJMDW?8Aa#Lb$WkfmwM@KdF9?Q+Ar$#(Ax!qj3t!FSjteR77n9fX_k#* zW6gDX9AK0!Ey%Mw+i;!c_sCPH4i<C+d3Ex&87fb{eMon$#7xp1Rwt23Kr<#6-7HVr zP)Qzqf$m+v*ve~9<VI@(<hddAL|o69`{<%D-*br^Rgx}=4gX+f#yak)0CU_E<X>;; zS_gGX{8<uu`K*-hSkhe7No)^w5*g~`-Qu%c@X}=Yi3?Q+4|dJ%Ps)B;8~MC}o{i$c z&h}8e{KTt>ysi~JxUXdDh~q__M20$9Jy|Qyf0`wK%9=)UHI_RxCr(ate=jF*pGp|& zG_&nQ`K#6uTEtO?I(2pHELX9=DR=osb5SR;57bFysFTQ0r%%nw1I#`nABvhx+H)l@ zGMXm^p`62dx#MtpT7^1o+mWm5|8S?SWCUfX)7_Dg#(}CqH^_fFVOX6!4^5Mg1b);# zs~`HOI&JdKQ>Tu9>6F~C8nm~&EGx@HNz<s4$RsxXdlGdpq5FIJSYfVHmwJQXjk7IG z^cg~PS=@_^DX{HFS!lGM9&`-<U}naOoC|}f5GV3$Ml=rC)MU1s0Ur)lhTIg&{1_A4 zL!CsXXK~}&4TF~Dib9YD{gfr@^kHTf=sqSN3}N@!P$#$iP2jTmnH&{Et1;>%j@Q82 z6B+8{f7%VKJGO$z@?58ciFF|8V=w6TiCzXqoi6=wf>#$8z{ky$p-#>&RUlz&b7((- z>m>GpI*AN*5*g}L<qD94)o^%~L^VO3?*7(6iMO8cZUNm@{$D2>QWYzw%bV@EPJ2e* zlm~R3CEK>;Iu**U21`niPpa;n@kgf<gYwj=lZ8b7cy$`Pr2!l+Uk_&1;yQ^;V$(mo zWEZI6Cd0)Qv{(aU=U0q|G6~%v<r+P6(ld77dJc5*^Mx*TxlST8v$z+wb0IrB2+Eh_ zI>jxT1I0EDhx?9PCovaw5*h0BcGCoC6G^`B7D~Ukg*xqiIS}Grw1?29^x_8UG-|pB z$lsd7xN=-4alELL$WW(e>l(x4;<Mp%BCR?a)2^qFI}G2y07i`DI#sfChm&4A!SN}r z9H`Ue?1u0-C=A}_<2s3bpiUw~okWH@r46YL4Sp_#r83va*sC^Z&F90@YFww-w$AXe zv?DxBqztQ5v!%ts9RFR8c}=$ktJ81Cx-ej5D|pbE>-1)5o;rE{rPIRZUhv}A2(Y?1 zgEWoRNn{e6{sD#n@cujnLfyDdT_eIFrrKP{=+AZ9zAF|^Pl<uFM7o&<mMbzdV^*sd zfq&6u;In|n0h^j}4Ps#y`L;;*V#@p&6LV1~k?C1nbm0itQz`;tf6yB~sMFLjlc8sh z9{R9*Y^c+_f_{*GY64u!pl3B$oy74PSbHKvok~4z5AV7eU~Y4+Qyu?K<YQ-BA@w~~ z2dh(T<F4Rlbrx>5=Q<6y>IQ|Z6QEEE&BcSA*azw)GSo?AsMA2HG!(kG3(nl4nqYNW zUDXMm?b`_NjS~oKL|&3)XWbDxx9SP{j$9}E_N~Bon=AQEWUkYY2JN84z9~@Q)AT>p z$$nIxI(b>pPIz^?bx{YKT{pw@`dlZGNkB7<E&9Q>9XsJv96f^p#`0%Oh3UTgpzArh zUePmVvWtQ#2Q;v8q)Hh6!OV=!X*L&DsmI}LSsI5r-P#=i+ZP>yA`X<HPGWnglgLn~ zrGxb_zSjW=8_RX_w;u^zZ8P9pgFw<A>U1xu2h3ct9n#Bloy75?P9j5{hFq!xu`O~S zFq&2(jcNC-eM9J)eFt1!xK2ZBC=k+BQWm?=%7N9XPDp!bIw~7xf1|mmlh_C9Br?=V zWT;bw{~FoY={lUB#C7`cG+TC@auJ%en?U+#L|&5Arf5eP=DrrrCsT&ispIYL@Z?P- zq?hJ8tyo(hybA3E>z-VvrepKesq<etz0GL=?Z}TqoZnB6qgb6pCb8*v)^&lwE3QBR zXRcF<IvP55xeG@ExlY5&&VepFA3-m*Cuz^Xaz$olY;DD<;L-Rc93f9T`=3rn1N1P? z^BK%OKpE;J=Aup_L!Gu{Pk>u(bHTO<*Qr3ML9pc04cKxbfV77?1tfdGoX|^fWD7m3 z!RjQA7j+UD>NGB;3~Vm?1=bbfI#q|t;QPu#313Fl!RqvDYa=k&lu*w0rBjVMReGy~ zvEiR!@eHn$*azw)GSo?AsFUgPA>Gb7A0Vy{*Xin>;j-W7H(>jc?kcEL`D-4~B<cu! zWM}TE)2pq6;K-pJuqlaF%3kCpNn2}F0lS%(!RN-bKh?>5a-KSM`Aeta_7*UF$~!pk z#dQ*y#HRn<oC<KF+&8#-gPxcIW43NBA!f3La#Z0u1>NWa#Tr{HXZCWPL}q5WFVD4x zGf@SUo)@`JmOs28H#WaA?I71l%tf6<hC0>vY6G<=<x_UPreEB`gWZQ9SIC_I3)U^< zI#qh)0FS<YhRMCSPU3h`Cy}8}(JonX0f)j$lhw2mX{<VZs+ld%8c<wGEY5Z6H7Oq? z&#bPvtfUnIb(%NR9;{~DDTxKRPGTRZlgLmfk)clWl839GhFB=J6}V0*OV$~G*UP7L zJj`|46Il^9<~)OjnUtYUOUigaP@U`Wwlvo%d;S%9VZYB{8OU{-5}Kz@UH{UlW#hTB z(-KRiTM@34$RsxXU0WQK8;mcY%sa|;n)u<neD1Za;yZxr^x}0Hu*xc`RR2MhFtA*a znHkGpG9TP|Wv?8lO7{+6Q!_Nh4n9QLE3@)b=Es<ri#mx+&*GZ9Si|afg_Wu$d39Re z_?A3!w~f+cG1sZ&n^f6*P<~~1L#~rJUIS}SWT=zW_?GTNu!C}E2-m4}nKJTTxAMx$ z^K@FVI_;PdA-gBLDRy<ZP8s<&$>*ZUZ`B;3xp=S>`#_yUhB}E1b%Nzq+Qu|Vxv1kh zO>dp0W<0Z0Y|nF@;<HZ6$2M3fFUN76)M91e?5a;Nbvsp?zSolEannT}Skzj%R-Nl) z2+vceZWc6|ubs}F=%(wkFBp26W|3y`U?(yOXoihTBYFMUnUL9^z8%0=%EV-ONay*` zv=lva(leHC{e3y>$0DeEfmR8_KbV;@$I7{Kzx}cBI-AC!PM_x9lQT@QaN#UvsFT<p z>LfDM3EE}IyS<}e+7<fIF|1D62WHA%$HU=HGkW@f2fI2k_VTEr(_o86*9|L~I^uXy zCy}8}N4wY2z0O<#mNt5ltFheN$DX=%+cv=alk~bB>NH~c9G%;{i{Sh_lrXGLa=9qo z^>XV$SBvJNPGTRZlgLmfk)cjA*8OgIYGNpS*3&**$&0L$Hq~r3zTI^A%+|q;7#nq@ zscv@k7;t_;%LP`a_46WHRj~+$VZ-URpiVLI>8)JLj)TUXXZ<<YX_0yA)cr4=o>#0Q zm%FkMYOUcqiA-YC|72#YJSI5~f-SgCZ+731pKn?RcK8iq7FXy(VTkLr5uh8_Nn~ag zH@!kZ==^09*!1E$U0qxVF3#Ts+dFfe#9Y)#WT;c=iO=PgI};&p2-m6oo(%bBt<_NR zGF|VXP9Z^|a{bB6VAv?GlQ>?~No1(gr16sMn7k9}9}FYyp-x?H+sO@Ds*oPQb*fRo zO<oMopz(CBQ_Jw?vi5WzJh0?CiG83>B14@-hB`fHH#}=fYCPPk$#uGRIK0)aJu4ym z8dV2%a&F#0&dFW?1CzN<-zznegMZG4UfsA(qq@A&xp^*zNEfctlSO&z)Z;ImCUv~r zauj)h@L?0bDlRgKO@EijkGhKOmqM5I^dJF@`8?Ij9fl=9?U6$X(=%4Q%YJ!a#bi+H zdlP2(2QxEvu1K1EZdfwhYDVLL?deVjGUVColc7oj%KR7;+e4j1re|@kZn1L7@oQm4 z9eU9MtJBqqI=Rk`70^9`-cUiEJRYU%bPkIl!<w#jusVt3HL&(XhB~dvIhOTq!WQ_+ z)|ncMi@xfSbtC^iIR1^UL$ErzWiM{E`ulx&TZ}TSPSfXnZdJo66SPHiTCK=SlEgkx zCy}8}B14_}4=AoKPmO}3_vir&tJ5Z@ug0x!qv7d%y33<Z9(OZZbvzmaE!deSR;RP; zE9h!PN0Z;CnL*;PI@ub(W-UmKftuI&Rq=vxdFs^Df)0cq?8dh~k+p?fK0JSg>m)J> zXogLLJ-VTjVqjSo*J&>dkz2$shq+N)rx`1@$X<QcK-<1tCy|+1d-eORm+$sn1C0l9 zod!!AW#_$XU?j^$oy1(!No1(g&=GpM%qF5vSFTgqrHb-t+r_Xxnd_8dKT0>Wbrj64 z$aNCOi#mx6b*d8PVeHyyJ$xQUl|Y>~%qnl3keddB*hx3)6eIP>@^5$>`ZVP_g@$!K zXidJPRD1*1N$dl45*g|wGSsQrbz9Z<@@&}sgX^?;{SV^=`#EqkiR-k;dV1Dy{XD3o zqYQOw+tNDAsp~u_QJU-IGa=YGdhJ|z_JZr=oRFtZz5dc^xY6Hutl|ndy?P$$4%bd1 zli2jXo^V)KuE08I5=#ptFc$wXO7^d@2~Itxis><K`c-+x^&Rkb({REJ|6pduwzoeg zw_dpe_U)o^!1nZyUO95rW;<c!X3G2+do8qwI*Clr;!3q$CpT)a1uAW!2R5uuyFRv% zzph#j$E@jr4Xcx3V?W*8iwQuUkw@4{mMf0e@DGMMEiad593Q?1ZkXqgT#d!OExp{> zv(a&=(1<eB>0RaO#-o$Jz>S^Zgkg1hcr!OE_4#2~Z84WHEAo;gv0v0lWT=zKP$%f! zKn*>-1m>sHKCn9VI9o$K6}=2P<fja))Ae>1#)#eVu;d&aFX|N2wWP7;*LbMYjBX27 zr?@KF#w)*8Ks%>-f7VXjlJeB4w*?&tuTG0L)=>Xmii=DFnz7Ncl=1y0^1H!deC;&& z{#{+u$ocThpD)FSbPSQ-_Kbyq)&t3=8d$E#%#4+~GE$yjVG-2mK;wW-O-i%T^0lh5 zaE|5rF(&4sP9oE@xW}i8$ro2g!P+`hMbznXKuKN6_u-H^jxWUrk62>t*<>0lCD&K} zr;|8d18YxYs8jMoSGCQkWsp{c?ot|yoBgteTCR37Ou5Y0PJI`YRyUrx2vw{oL!AN_ zJE-;plA-#4mf~U`sFTQ0Cy}8}uY;Y{71;wJ_BdZVwR32!dM+6ZB}dY#gF2nhby3Go zpA5~O@U_#axK?VD%3)yBosI)_8gZ|+dhTj4O!nk!r!kxI)TxgJm4oXv=*CXt-v>L9 zNo@K@+uvz5W@Zc&IKdBgB^;~CDO;99<;0<6v-B)(a;<1NHDnDmnZgftA~UnN(0p^` z@plv8p`IV?BH|<Dmyv5=;#A5|Covaw5*g}bsVQ>effcYVkRR+u)=+hkWfp^520z$U zs=M@H!w%%x=T7`!Cyp0&5*g|=taPq1T$cnMBly8?$<Ncq=}u{|w;a_It5Z(Fc;jT} z+i<cOKiIXcHrF`Qyb~<{bFdTpK%GQ}I*AN*%Bd@>-6zff9b2Dab+WW~SL^rGL*3o{ zV0WO(8snMS5%8@gKiDn5G2eLa%zQ}s&)RAI$&W_Y8gt>%bAGUk-JYjTegD#_T&GC& z?=w4*No@Le_Aah!H{(Fpkyoe3Z3niDt89Rf*1S5k_q3FMf7u8-8}RBRGStbw<$c|j zgDEhPRU%+}`bdwDx-y;{VRI9ji#mz9sFTQ0r)k?t>aMsa!5w>Eo#t&@XdFFzHDr76 z>h#pXT`jwgd_r*@uTJ84Q74h1PR`Ow^+=&D@cbe_vrGE2Saoi)AF^ih>f~{0wi^EN zDb$=xD+gAmkbP5B*Pw&2^FL>HVjrlJ$WSMdp-yktWU8x*On@R8ygK>y$W*HoAP<P{ z$g5L_=b@^mErZYmUY+j03RGuRSOu$V@alAS@ESGSW+4=I;?-$ydY(FY|D}_g{KokA znVrZ`r|&+~4mRn#6dLX2)u~;yrCe@)0t{KftJB-ZlVr#4$&fsrS0|C7PN~MB@}~*p zI!qX^PNo~9WxMvt&}0&?PGT<VBr?<~)xE0hM1HNaEBQUP{~hc;9t+cLdcOh!$it2Q zw{|LArI_(%rNwZ{fmbJSyr`4NP^S^QN~u1Pn_v~Wul2u!UB4}b)F-i-Fx`Szr~QuC zjYl5dhszGUI%SMjjiqxlA?ZJ7c48l>lgLmfk)cjoY^JK!C(nXgwzLndPG^e-5jF>w zZsye~ywEwL!>NVv#)(&_aSlnw_48uE_bnX<9_)OMJF12DM?<A6ygFUmpQlbff9XVz z%Q0Oy!0#!uNYl6!7n#JW(^Il`8q|I}e0oKv0T^pQ)=rgXWI~&qK$^>#4_P~1^H9N* zHh?h0KbV=Z&F8zyYrbW{qN6kpSapiK<105VuEM-b%KR7;+e4j1re|^A$lB?^!hP^9 zfnRq@A#11a4|jq6J$~J3ELl4(FOmxHI`Zlyj@Q826B+6>Ft?xj_R}FK9m=cIZ@Z4_ z{-YORW(8iI++LJb-zQ2+V+&rLhPJU(OOV^gTldpkEAk>gOd`DZsFTQ0Cy}8}Dd!HU zcfTxy_x*Ww3hJ4z&M&<R9>1oV;M!@`k@v<6o?9TT7q3oh!lI47Wm6%lD6dYN>iVdG z9X5b(K3<(9Q=U5Yv!DYJ*G{#YErHBb`gWjB^jOWA1T>>PSv$S0xe8vb;nk@ySvxuP zS`P&$^XfE-texD-ZiPx+cy$t)nYDMbgkF9)dkZ}5$E%awrnz!JgRStY8?R1cF6tyQ z)X9ddovIB>f#vLpytowiCu^rdht@)=XkML0khN3B+ZFKjJH0uvlBpw(7j+UD>J)S1 zyYc(U9bjnAt5f3;v$69YBRqIOtHd?dp2f&j#-H1s!I)Q52*ZQjk1CUl?sJULbt=t8 zoy0y+Cy}8}B14@%#DuB6yF|jvx3mwePE)#%RK2}pAaN0|PD2~aGJYwt910ib)#;df ze&eP?%OT<c-4?7)?n5k8mlI21fQeV9%E$B6ssCR((F^#0S0|B4Z2G@AH<I_%-VS!B zd3A~>H(5GDCM=oDtJANf`*QMY@}M5_1<(IgCy|+1dyf-x<dBsr^y|W_Q}DH$a`7}3 zB3tw7B<7+{B14@zk((?Dp8Lp8?eOY!gxq9lxPKQk+03hx6S>Kf_-!lL)Z^7j953o5 zGStc9qRYXxZH~eIvAjC%UlH0$?r<5t+Vko(X-AlDPr9VE{4s;P2dGo~J*m1|UoU|9 zKh;U>19cJ^>LfDM$+v!Qb;{{v@F~fwQ;{+*YWcSt;6x_X1glf?!3T9WayCGsH)S2j zOOmpW7nCnWu7}6fd3D-+Ke~D8ryIf1idQE%o2O0#{?dtFBIA_^tCPqiHvPZr@6kQ1 zv<jxPZ$AKI<O$t!R_paJ+K*SKY2-5Ix!+r$P90id3@lD$X2uqcS|@k^z6BaLrE$Ra z>L*1~<RrhXaL<i0KgPsd)JbHhQvkV)xvF~#dHgzGJ8dJEF}*U@Li99VomP{}n2(>6 z$I5@;)kz#L>LfDMDa3k)@wmDZdNiR^qp|IKKD4dTW2_2Mxx6|_g$8Cl+4~HBzMz!@ zb(*u}VT&v$BMkaabrSnPokWH@i41k>=kBH2JzW4pZqq)nI(1swKwVWb7CN(wIjB=& zpIZl(6kZ1POYrKnanPk!FWN4Jk8gN&`qXHSaip>od=K&J6qu8zP6Pkasm1fB+Vg<E zAh)2FqfR1|*!1_ld{aACXas0I_`&Y%n^Ri%38CN}PAh_*#VJk)HM3s?3<>K;nBgDH z%-EpR1KQ#(qoMLH8V77@?%EyH$~O*!mkE^lF($T$I*Clr;wIZ3*Xk9R1qW6RA-Q<4 z^9jk(ezYGCPuO#eVp&|!>ARX;<)LtB5Z6f@uYtvh40Y-j_(Z#%GXU%w(#oc>xJomg zXzHwR`1OuX>ovwMdq2_c);k2(thi1K%MjKw2_o%it`&JnlGq38Br?=VWT;czC!=;U zU8g3nPj{kD*4gK^dN1>}a=6A1cE!Ix)rz}E!@k*cyjY#eSl!o}*U5y7h3GDT2fO^8 zUTAeB9V9g3AMTxhJx`qmS<r#-wbLXyS35Q*1-5qMI*CjInz8fgMXhb;?XY+N*U6xo zv@VnPf*i(mDs0@Pt#vSgLkLyEz;Z=qW^8f59xbD28rY`MIAGJTdwaT8d(}R8zL+vU z#>8CINo0B!*ZOppcGI*Uf){h08u^{lBFQ(DvS0D)ROjs#ZRCxukUNU&B#zg>+7lV- zH1pgeE&1jqSX!Sdp|QBS^&e`L?`DBz4%f*spIPhp`a2AbrqhbmspipJ+Srvh;TO9Z zgF1<QpiUw~okWH@H4DA2*?$=<PrSg->`n&X*L((;<=jtPr@dA;v=8GC!|ml<r|%n2 zXofz|VT_LJw6OGJjodMV*5o2Xo4~=rl2lmQbT?0(d@ZOPT&Dxhb+zU@SAi*<zC~D_ zL?*H6Z@0-o8}>2@4*lojbKM_4Q`byNg=klLfYGzKPW3a?S~2NRJ*YQfhJP?KW42ch zsn)^Uq0<5y2W)DbTOCv<K28J2>6G~~Cbow<iA>Mpu57ubzDw8+`-%=CxmcYZ+godo zGd4n5t3blAIxVrUp!p^mz_S9~EmpEzalD3qu>aSoS#xdm-0kqvjZT-w;(leiYprXl zpubF~3#-$TGp^dIT5sTyX#!!W)BBk<wNqZFpl%nMi#mz@qD~@1okWH@SxBB*;ly@u zG@ka0)hTFbXKiqcL6BaE_KOF*yWusoy%jgY+}m`#Se<-x?X~mkGQfj<mL028?CoaS z;lw!Ty>RLuow6V1sgs|DME<x=Hy$?BCd31b=)iRnnZ%~Qc)oJl^D^B*P2wM)^N~KQ zl^P6%M_>HNrs`Q-=+r~%djAQqxg}M?@DFBYEO?fx+UE;|Vx4Imu&FuG$E5Cl9}Ge5 zDDz`XY!7u3nV!W>EA><j(Fa1c+XG21>QwD$A+6cAe$en-0AZ-pXI&L-c$gP>+^1jg zLY>6%8d!TGL!DZmtEY9D69|P1a-FhM>uJT0%z=QjbXrlTy1DhV@uxH3bV<rkr!EQg zwV2|u@X3+uB=&(ii41iT8S3=5jjgt5$#J=V6WRyr<gmS*7V_h%d~PrQ_*}aZ&9r9u z`a?hp*QwmYX4;LLp`iavPpeR;-1sJ1R$x<z>&10?^E^+T23ttvkLz@^^>=M=Of6U& zOoxfpNn{e6{=P1+wadL)LYK8cBn}um6=l}!Uw0#)mG-5%jF~s&Xw^p!0c-Y41BQPv zGh@$hUC@T!(t%Gist)Q@;^RflEvh?sIZ=i>iS40IB14^0YTnj<F6#|`wp^#4PabO* zHhaJckKv>})M?9-ciJW2Cgj^E^lT4x632@=i41irGxoD)^}81Iok;h7jcM1?^^2Cc zq!(;d=oF$(X=lG`jq7iMd6VcAqE2%reADXpkAV{GYXMlD#6D0bk)ci^L!H8Q9M&Q; zFRR&KX}_q`{ot$G?xzFQt2JrASe+JL{i&HN2E&(hI$o?!K~27BX;vFyNJW~9I`u97 zL-Tbg3Ss0cpZ`19m3fz^PDB3EX`j2RR_U@86b+-BfI5jxV$&b9yR;VGwIr0iLZ=28 z+w%IC`elSO+;jDzxr_yrzpS=OY6{ZC&V(8M!OV=+9&=i?x#kLMLTMbZsi}A;TYcNB zA>^M<nIB_fd#IDh^eis<_IovLpDVm7)`#R`b;`HeR$FzyBDA)k)f08PJ;qUs%Cv`C zrRg_=Q73V{2G*X)P^X?ls%a0_yF%~wbZRsfw?3!3cCn2oSUb|HjXG_e<)SrhvlN!E z;?F2pk>;w6^7aScel!<#68k`%M20$v40Zaw;F{X@K{xqzPud6SG_dP$)juL!K5?6_ z6;UULsHR%Gu@zy$9Xejr$wrp7;nx+gcca^aI!(G!TWj0wo4hAx>>r()e#uiOe+!BH z@#@s)vxTWv&#@4gNsB+~Br=Ij|CYsHwO%V`!M68Yr`Y!|w4(2#p>uD#bk?&tP;)h_ zEb{$1eOJN^|6pdu3@7es(aLO?snR%LQ&T+jo~FExhRw;8`7tK8hdPN&&*GL@KGUXk zSO}Su`jTAK$+5?K&F{oKSe(ptS{L?13ur`suIK~3&xksS<2A7MM20%$8<WqJU>6KE z_fT~-7Pq5AK9fgqH1uW<!9krKO|&q5etjI&;2;wB|JBJTnaW(=0S*x~7j+W*K%GQ} zI*AN*vVMI}>o8-odTT0e4|NJleWwkd-6Sg@j`oW><=l}>X-=zQz&AQx)G5Bmdu^fh zX;?Ijs)#x{^s+QPS=$S2w(%d)@cxyjPD3pu^2c@h{i>e!(5(|Z-$*wBbrPAxroY^; zO4@@R{QxZKvKtuN@z_?obY(PH4e3d98S88LQJvv96DI6#Pnh8!%*@z<$WQ8yi({ed z2^t4%YFbbDq}G@>1(q5q^J7eG4|Nimp2c}|DWFxaH4eJ}=T{HTd@ZT%=r|NC8&KV` zI+f0<t~D#w2cEVbN*L-Sj@Q826B+81xTL=J<zxut45L${vAC{p>S<2v=D~iKK*CU` zhL!4SgOpvcXnX)+sMEYAZkkkm86?i2xu}!a2kIm;)JbHhQ`LKwv{9SS$*`XGfjWH; zt)-PH`AM!(iSF{K(}JH3wI=cYV78)X->B1ot}fc?*0Z6oFWnZ@X>+ee+N19ZIH&VR zt?I1~<n^lu!z?87$91B|W𝔡KCVRokS+F>HnJYMr-JM078HA>g03izSeNZQE1Se zS0{_U*EDs^Ij|YStCPsgti6-rx3y2x4?=*ESEpN!H?`ZZjzUU2uTEkv>LfDMsrO;C zR?YGR1cdPF^s@Cc?P-(-lQ;6})GOt^w*0|fD3OmJ?8Nb+P9j5{O02gqg-=O?t?9fv z)n6}}Hk>{R-reY)jyl;a|EATwDk&X4(t{4_6zB3u+g$G{L@egjN$dl45*g|wGSq49 z#Gl&!dM@&=6keUy)UY%?Ctq-CkU>iW>ZBZhtHln@fiOFMup77Qn)cf5H`I>j)#>7X z$&?V44BJh-IvEP(snhVkbfU-Q>he0UzE3xSubnuP*z_OYTuv)Re$vOL1+PxNW^1jU zT^fvE&a0Dl;<4JJ&OXSxM=Okh<%-PA*qfVQ)zEUgp<O|`#{k>YZ~MMguT0njg+I_- zKgPsd)JbHh(}ju_nzj3G*fqTy$;E?Rpr^g&(;*eo0(f=$y|j|{vtA19p3bY2_#U86 zB14@Te`u~9evt;zF}yl?estI7AJgDe{Xo($>U6kBZSBC&7x23htsJP+-0Ib}RaMWy z##CON#6D0bk)ci^L!F)v@YUL!=m71kX}_-IB}s#&f!foX{*W<-SEstOD{GDFZiT}w zd38#fC}|rH?uD@JygFIOxoi5mt6?j7GV}kI;wS9$)G6REo#+);>B$Kg7thb^L?*H6 z|I+=oR(Jmec$r4E1I7kApVO|sy$Q7*@iROBE1I@A;Q<VLOpB<2#fi+!SgW4LHT(NH z;M#<r*==?|qV+j)3)<Q9GdnRCbrKos<h=2ec8&bN#i1Ycejn=e;pAm4-;FD<+>5@w z|9`N%W7aa-o`;C65W-e6WySHLP9j5{d|Q3c-VZqie&Z&PT#e;=#J$zZSlxx~7W6C$ zb*fYOsb+oEPKghv6(4mnoF$hSi~ol2J~Y>gyzr_xfA3Kzv0v0lWT?~LgI~0mkEi6B z-D!KM)4<eU+L}|<A$S-+vpe$aw$_+DZBKWTj<*Brw?f!qEo*B5W%XQsX4hleTWy|n z5Kb-PXLe6Y<*8HPUpmoi8YX=fBy6CYh1E%95}SVS?-ewi=_tIgphg2@p06#m{oT&P zzW)7bE@SzdUsl6LUxjUKIc@j{Gc)$I!YlPmkqh8>kss_{f6Z0bttVgj-pdbmVtc5Q z$WW)2b3dy$r(A$qiZ|I7)T!UJqS~66Q($%*LKy1gIkcKKXu@GA+?wtdsFOHe)JbHh z)8Hu`H0KuC;M<;Rf;v^mZLI}*n4$D7I$fyKosb4vm*fIU%rbf)LY>CtchM}Lynw)w zG#7Oe`#_yUhB}E1b*h&=Q)~Wq3bedW`$e6!;Zw8)cgU}6deD9wk(VTGc~@C$dF3R$ z{7J`)I(6FfQLSC(Ds&u2x1|@0o9fqEJKbm>9NEDi7go?QPn|~mrPIaC;->kI<Z5yx zy-SWdiA-YC?^(^(biY<66nIUw1I9w6e5L})CYU-UkmfRW=jD6tT=*$iVWii84F6ze z#&REi)^5dRKx{F36&u)|eyq?Z&1HiIv!BykKgPuNP$!Y;S=_c`zqQ`d5y(iSMICjr zUX|bUV$?x+&(=Dq)BARIrmM;6<dLMb8lz6)cnz#Qk)cj?HkULt?z<VP&7q$Z&{$l{ zYYwLB$r`k<{&{PEew_X}y|HX||u<#6X?mb@rw%!H?m77n+MYiG83>B14@-hB`H` zUdXgd{+jhxrR||k{hW)LN{*N*d#KY0L!Gj^6*0}pxC9aG+sCMrMV6&$RD_k%k$v+U zb*g`tj7?huUQ=iOIoQ>!mZwf5EhO^Cm*UZ{%9;k57Qws5da?<qlgK1C{YzRGH+8(d z63RcANaBF85Xr_=BVawW4W|`L&)Dm0lIdfwR9JnJYGU{YGc&d`-NLjmC=TX3(*q^2 zsR{M5FiroG2w(G4=Es=W9_l1AJ&Q}dncvjlcnS<mqX#zBsn!-d(|)J5@Qz)=L!C+l zIhb5}#)0o;dXEit631&`?THL^s{N*%=~+}HjGPooay1s0v%H+CSEodXsz#?3bz0$8 z*3@|CW0?1ZPAlp(#HoyF_W6@=z@6rzPGTRZlgLmfk)ckP%=t}+9ha&lchL4wr%@H` zO_m#aWO?tTYNJkVN0l}ujNc2BHqh~+PPuc7nr2*l1Lw2(CkiawDwtgAghG73us=F= zbIDVuQ5F*U<2n@?;B3k|6$#aHXOiwvCy_~P`t!Z5Y-(Y(6tuAaRHt{PP3~!HV7gZz z&1G>5eik)N%Gv-u&(I2E_y;pHHZ|Ga<Z^f+G_J_2Q~v;a(^>D;Ab+R1sFT<p>LfDM z$#k=%saIJ8SkL9vDQbEJQv=_X(3SnF<p1krQ_Xa5Y%D0ld36%Ui#mx6b&|d~o9=!L z1LIdZ4XD$CEN4@k&r0yxLe)W?9;~Zrs+?kmBjb2=a^LM_vafIyo}|)T)Jg0EbrKos zBr?=#dyitKgRh^d&qnd;H19-t)9gDn)bhT(IyETiWLoI92cDFs<3*i9E<2h|)%XCh z|9K$KO}|>EVP{8!&l&y!l`(bm)G6pMosKQ3YwA@m33L<aW}!|Zli2i^(L0+iPuU7S zPIQ?EjP-j^$<(yz9(YxVRs=m`rJ#)Ib}tp|4E+f+{DYYp3%OX<RJH8}c>9CK0o&7U zs+2X|AfEszafvcN#>DneCz0t{+^GAGrj5yap-@MEl8e=8SIg?Ar?+-Odf6btP$zR( zEmNO+o4~sOt+Fdwt~g%9KN#wCY;S#2k0x=D6Gb)ASlrs0^-Tv4ZHIGi{1XKyKf0Of zjQ9)($PZHduR6JT*D*~la0lA7pt-1%*e~iNGSo?AsFS%sCDZUGs+!b{s)N;O7MY{3 zUp$Q$E6{Dh>NG#OwrOnbY#6(dmI2hsc0gs*z8eLU9QGubUW7~1rM3-Bv-}pq#R2^J zPAePdsnci+n#`+{4XI8uV>BqSgzhz{lgK2X8E5^fn1YX;gm(4m@(md4^Pr5W{KQL8 zO`;V+&sgz6#Y}s`Z$rWGeuNqR!OV=M+B=xW1|Nm54{02*sd;{etm7OmLc(6k{1_A4 zL!CsXXK}@zmolBceFcUz8$xnXr$|>vQ-!MMA)_q+fJ&B6HIpUzn&te`^zB8R#PJ$f zdm=-fj*N9Rt+m_(F)QhGX)MliWNp)e3g;lgmG1r57z@5p(^M&;kP>2`%HqLp@R%B= zHXFXfsGc+zbrSnPokWH@i41jW?OD}SXU{9+%uZBK)M<2#i>dc=Z&|HPw*__j8Clij zGx`ODAEjq;sFU+j2h)QuC6vzB`7L0JPqj_eqPD@D>HG;Qdt2nGQ?P|Z{<uzy$=az> z_%XOtfgXcVCy_~P`U7_rH_cdg9@Z`A)oJiM8&jd$H{gXkuTEjj@|oPr--qr?cy$t) znYH(_vbE`Q>9gR)ejW(eG?Y;-P44N}pzjf0oy1(!No1%~!RG}`o1<^RfnmHlHR@l) zl>GD(cn1WLv0-&OanQl!S@Qn~I}e~Jk}d$xDxxAH=7?fIK*R)yk$r8>S&XNcb2#-p zvujS6vu9Xy&Jh*1$8aXh3G*uEoU`XYuix*qy+svUg;jp_x_f5&+t)KaGrgx_&3Kue z)cqx$R7N^|?Uq-cKidIivSLOcotjkg(QBr^3P)GV>{PT{PJKguFIF-eb}Q+$Ffp5c zqo~FrZprMVwm~|njC4{N>D2F9cKvGpb`k5R;<k`Zt(`vl>{a`$Kg5z`q*G33X1)84 zmyodu?l0-Is<OMz>Stn8X5ltdb}Dt)M|Uf?8;+!v&pSC;vO4u~(Wzcsu<psuKtkqm zM%AQ~$~4jalNuM&2aLH2ch2J#AP6?{za09ouzS#FHJWb|tc*tn{VaP1-Td(M+@1t; z3T8i*QLoeI0+gB}CLV-ND+hS%cV^##>#dMQ38vOZI;o6w(xS5IPnO(=3Agc`y8maV z9eMTHcW=U>SnNX5sm|BJ`lOea;8x2~2BYkx?l0-2GSbQSbxFO%uETJA-Wa1S>Ev~y zgg)B+HY~Y0+F+EOQhY9|H@TgaolJ#{bUJ7ZvN@}yVg>qRS;|go8>ExUNGFw%PNzTl z>9_uA8MpR3)<-%`h!56T&l%R2PqAIn=`#51L0i5-v!b}aq|^K^x%4ix^04(=FphKz z|5j2zy<tDBoG{ir71wGct5aVWonBlhsju1KfX07Hom8fY?!R6?K!*><;b3i>u?Zkp z)th<rS=%l`p1%he%qCb)W58NuOhx9f;H17i3FZ{6rIuCy(*7_6b;LLj>Rf-FS#N#z z96T$HEJ`r7KGI2LHW4?mbS~XH_Z3LofrByWbbVO?-K+T-=syX+!KBlSA4PPJHvbxn z>PVf`{k4nwR7N_*WDL_Q)!PN_KTDndEEK9Ad3pxYS3*WQo&Qln&l&H<ru~K8MLNNg zV!B(~@9^ck)JbiFbW$1Vq%zX!Kzt#6NcnP(oo&V%ZIDiWhl2IG-*Q`v*2OkRrw<j2 z>M5(dgw2zrP6v1U>Vw{8W8+g|9O=|)d6?eX__eP~_oYt0^^(=;Pm5-J<X~6mds+S4 z-Z*&IQ0k;IO>}>*(Ixbd%*Vk$T<SDBi=Y1G?gc2>Md~y&Rc?Ky`%O6PE_G6wQ`9#! z*hjxPNQbaqQl}YydGyx9&%(bEQYW=6>7+8!sb8N0`n?91Vdpxj)1J#k^th3y;b~8) z)4Jdg{g1zo!h%&&Cv|^GCzX*-bMjTx^Z&6O=G???;6gi(3Kewk?(s0SFf!6<o_|?= zSEv_z-dyT*Eo->$SL8b^-+^(Iozyl+CzX*-DkGi3N(bqV7ULb|nn;~q9}U&loZAvH zFap~koyK<z)f;qv1^(TnPWht)^yV3IGPsJ{M>@@mtEhk9u^xIIkvi3AlB`bsTy%=_ zj?iOU#Y4`^xLGvVsZ0~y@3AjbZ|}GalSazH?rZNrz2O2UEE1FTHW3#%JfHsP=o8RO z$iYr!P7!y{uYjKGpEFQni5%=Q-uBfWyt)Z<ddR^}ElWD7jC8tuzOX(oZ6XAol!IO6 zyv6meC2qj>v2w5*(K1{Q&wmj%2T7gO{Ux1LMmi;=tE9g_9}7j>N}Vcw2E9P4Yp`@R zb`9w?y>>-?#?~xsd_1;6+38h6IX%KyEU<s5)JbiFbW$1Vq%zX!@X1p8jd`scdmdqZ zl%0GpmDhLe$Zj2T8n=aX`Z_gSKmGOx)Om(!fCjtvS&HaIPx>;SNU77}uu6L73wz*l zHK|kAmdWbW-$f@hzu?>Ju<UQClgc#F{jmp1=yU7dhc_`eKLvt?&-ByF`MiQxJMr|~ zCRm*Vx%J$YKSP$LT@7YWf;j~XdXrc0we}V?Jc4l`zUjBx`RHADJ%jNxkVOfm)<-(2 zjC5-Ft$^M)`VE}@fHxgzu=`jdNFTBP38aX@Q_dNpK5MfOeb4s0(CQ=}-UWiG`%5~h zjC88<G(vZVpN82#up782dw+37{f_TrC@vQGA)WrMT2?=$=VpgmOP%`mDXm{B=*gB` z#<Fh4pQfp8q)CFw>?He$bV~RTqI;$?mMa-2bsBfOyneU(G;6gU*aqozXGSS~=$2IM z(^RQbrGE?RKHUm4uwWczr~cC;^wGDD!m1}@%yXw1QOW8wz=As>2Rj^>&)hfOu$U)x zQke!=V#K5XeP!_nkULT8^u4){e(BjOxOQ0Tba_-}J+tKtbg3_OQkhfK=XoTXK6&OH zsCq!^6cC(M@8<pj)=iW;sbxtgm61+e59QLAM81U|Kc!B&4aLsRdJ2=o3^?f&;2)%S zTyPKG-jzD3`%5~hjCAUDv$UQf@Ek<tl-a5FxG;V8@~5z+6?P5jq~$587jKb=br>vl zx>~82UM0ely?-xtQrjS%R7N_fjC6{M4%UY>*nY6U45`zB>!Es^ncJ-221}jlb}yng z@kzyoZIL?NdX-zRP`3~pA1rmM)UULjc;Xm%c*yLut#h(E{pF%l!GcBg>WwYT(JtCJ z95mRejC9%==Bv+slZs^wnP9|$P-5GMjQWkr=~(qFc-U-$WtfmkU!iAUXJ_F>vONjr z6zt%^w0hcpDcO~jm^nav)0-?#Z46i*Y;ru7jS@_)k91NQ>C|qEm!4{%CmY`y2V=@k zW%B0K*DguJYWU$-g><Sny`X+;tsCpKW}?9sh&I&yC7o18I$gU`N@pX!K&l&)jj~*n zW#3Eab?<nvL79+|PUk{{bj!d{_ALD*gVA8ua;v|7e|J8X>LA9s8Go9lwm~|njC4{N z=`=39xSp%mN^9mOQ;fQbiux?6!}O8cg5YdLY=g3s_pAbX+~Mr(#vt6^8Y0erVrKnx zWEiXEhH;dg>J=-cuZLG~_tF$IJDuy9tWE<hxFa$<b^e$RTwjb*nFd&5XUW3QuI>uZ z(&61|5UfnsD$p&@Mo85I@3GkgYjo)kSTuVFc-?AbFnbcrDcF?YNa%2UFHE|DaUi<J zCu2)vJ?`BQeg#>SU}}A&lgex&Zf42aFgwR)7?-`ZQI>Q%9u)>N_pO1V2Ra*!bei@w zFFX&nL)3UYWhb4~{k4nwR7N`O%kjhdc(D$}Uf}c}7jawCq=dvxr{Vf6oYx_pvNZ65 z11aA?{?!8vMmmkEl^K}FVQ5_+zbd4Y+6L*QGSW$9q|=vw8(5qD5eGFa*aqpespE8O z*}r4pzoR%>kWP)$W`@_Ev!Tv=WTeylTRCBL_OZ}ELe4vF-=@J%Pdkh@mahNxywm4? z$?EjCMKeB9r&?>y!eQgJ&2_)Mwy82rbbtCKw_wTKO>i(jp6Y^No4dY%TznS<ZHh9O zO|Uurze3{;2cT@1#s;$|!JLA9TJr%)A36!IYGNFSuHnT#!;-%b8_Q)NixNz&k91O* zO~l1Nc@3xM?SXs&c)yQysy6=t4B4^`vUcfeFw!Z{;cHNO$p-i+*4`$a)cv)K`cy_b zv0MMb-}P_7i(z<b&qbW?#S>8T=mSX1ja@@Jm2;kh%a#9wNU=m0>GWvBMetd348p~) zO_5G&8>ExUNGFw%PR+88gTsmGSpGh!G3m4>e4%l(Cj~n&1QjElO0~EM&+11*?@MwT z^Hkh<@EutVraZtqAx(@wqlVNcpjz&ou+=7~F>?$~R;NK0EG%`()+hm7Un*Cb23VqK zs)tZzP$%%VNS(?L{{Z`9{(|@sQm0{gEi8j$6!a}FbyAsA)aQ9bW0BKmLY|+Pi9mGC zqyID(d}|V{@{&5KWl1NMkxsjweuh)+2gB=6GCKuac>($Cz2Li5>eN5t9$2H>L5m&z zjdn>Vb$>}Gm61+Q248{gpH@M!zokxt;;%wZ%VwAoDs_6}yatg=j=;(ta#p;>hHLO+ z_*8h{jguCnliCL9q%zV;Wu#M;wMHgB`U09}lR6d2b`Tm5y$qpcq)wspE<vuCf^g=r z)M@g?W8gM<jn(h8)TvIP%kcR^f2h)1>QrWAvN{cR(P`37Z*YBWQ)Qay{>%-EK;^Ub z;b1&IUkrkUovIFrUE9HpKsng$n;Qj1n)HP`3sDohh*OzUup!~?;9|9*Fmt@r>BFNa zXw_mM6p2O_B@|Q3l1?fkoep%X2Th|o!O_cjgNCxx{QPB&g{zxGyP<Nhiwr9W(`VL( zgc@?NQ}>s2QW@!Vq-{p%_k030J|YLZ*<&)nm>A<pi;37>l%3Y>&I~>q_dvjB>{iN7 zmsVv0p9K@4Xg)dEscn!>DkGg#MmjYN`($lq{KD4US@^Y}?35=i1?0#&0h)I2XRuJ? zPt!U%)4-DTCE?aVWHkiKwCSC7%(?8~BVImlB3SkAp0M(4ZD`v~4t7!FlGSO5i%z@O zKLOX*HdUsH?vHQ&0h~k2z`eZPjpjkH&fym3vA71@9^cYnHo?wMcV~aph=kkzbq!`u zf;k1_=iS-5-h*J|%Q{9J2z6$~xU;;gx_~7mmL;9k`ba00kxo6=rC{A7>cISOkw#h4 zso59fmg_8l0gc)lj0U?A1>Qo)!ca)Oj9-fdqFr@=Nhg(&PNi-?fdXs>{I>zSkc+aZ zS3d>MZ}VWn0PHT($t(9W7<76AeDgs@I)%P}0&U!T!p<6~7-c854bn+vq?5`>r&Otq z!my_IVX?P-8Z+^uanmZ>2^a?QY0PNfL|7m6z?$hB#*t2GM_+^`flngxW|y~stABe0 zcF&ryaFu+x*ES_torb#T)XXg{<ThU0^!)9$O_gb)`&U)=fqq%DK$v(K1q5>+7Yf4; z`GKQ<Gh<V2f@Mxq13n%O1^>6T3}#P)IR(?x*MagOR)|Z$I1pVk|7lHl9#syG+(Q;6 zm|7p{q%xa`+kK!c3~&TOp@R5rBb}~(2!M8P^T6OZe5Q(Yy0s=dyuOqH(vHQcQqoD? zU%RMJWu()t$r*s>ZUm>@v1_=98=D~mWIWQvcw7+mB%MC&Ne9((%z<VjkdaQE!_vUn z98F<tD=bSoscn!>DkGg#Mmi1h^MalayFjMH__PFNr&P=ve6}`*0?Y6#PuXcl<a_J% z+%K)C-XkNO23<O3<yCd-KfZY4LfNVBg*4D&K?bnd<!hVkW+toCFpFk<<hj$Zrf<RZ zwM~_2qWddX`3^%$jf4(=bTl>r1WR0<lKr`20yH{^n`9HLPo6Yv{(xzaqj`0M*^^*S z!S1|tXW^OburC1PKy=Oa=+vxZyZLadG_okc)cQy#mDxm``wchtXTM3%r+7o7Ea?>g zQe&s=V<1g5o==fZg{ORhR!xRN`s`f|MmnkcYZvvYjCA^U^$TcqZzs&UkD7217c%x0 zl!}RgJOA`F80plt$vf~}brRBMMn*c#jCc>@w=IB6lQDCUPHG#ZlgdaZm61+o&h3PK z{Zp_VVi9iA$@9y<(0ukYs6PewjdZ%w>oqhtei8I@C8<+fZetnPk-Mz6!BVGeyI;cF zCKI9c3;ANy@%hQ>G~A*YAF0!lgXxV&^J~H5-(K5PnI^h_Mwh%$v1bb?SQ1aWK`_g( zlJHNi9?<<C>_VGhU;8ll>N^C!<*8~gdlJkk*vKnZ*wAJ){Og5rAi8GSV1QC5MuJBs zWKn{t^^s00vx&IbJPcOk=mWiK*E7nJPF+(3K#iL1q3wg_1|ywvoy-Zli#CN?8#@?` zbW-=%F6vVm>GW!!2Q&zo0!<2HX5%96L32-7QEx6ZeAvZcq|?Jm8Q?{poiHF08R^u| z#~UWZN5h%nSeA5B+aR4(MmnjCbXwi!h&6|G2Kc*oHtHjt%JjKmEx3Ck9J$ibV5HNY zENS4Gr93>y-N|4zj6Y3t#=Ak=X1?&VIVy&!K-2y_k`}zuG=-_h<%>~|mn5sx2n!aL zI^nqN`r4+-G{6!?ZoY$<eld`71a2w_Rx$i1Y#XP;jwiTDHo<tf8@t)|INY0#8OELj za|+hbxQfeB^%_L?$2bsO6TCVFyY%fGv>1piN-(uP(n)1D5jW?$#;!Fx49nWe>~wJH z7brb477Ff^+38Y-H&AudUf2+d-(b>7-Cw(?Pi3T2!L+xbV7cee_^HfJcPHP4_QT&o z*)cth`beiejh{jTzZ5KXF%CqeQ$g!XSd(x83eT0<No|94QW@!_GScZ`#1uF%AUhj* z5cMRTrsi4&=gXyMS5M=<kxti2yaEsVTv*UpW+%7Q?_k^Dy6|YG%ue6t--FokIvoEg zvy=C#WOW*8(TtDO3CCsmiYCp9t4tH!-=l6W@OG|&z&<iNjmlFD{)*WOO>WBU)N6YL zl!(|1kJ`%Yq%x<d@BY<L$Wh}Ubn76qQ{4KpaOG<Z#J7^!Ni9n{sf=_wFr^ec*|!~@ zMa%5;SJgrgSAQcsE!4s|yp){|j>!r;9IIgNW0{@Q{Ux1LMmnu{^UAt&-4RG#M`ov( z8(*v&+|NRX*IkS@NT=I@9&oy>@k^p9k&#Y=4tc}b6vyD~W|^JTHb^IxkxnWjoq7#R zh`3NL4tflb*{SyO+Sbj9`yo>)%tWM<H6#=KJ$yd+G)7j#_|vo%I}1VQ{1YMla+#fY z@OSGUy^LRPu=F&iF-vSnRwtW_PB^C_UmYZ!RHljUpEU74ynKBYDn{WZfM6S|zJ<wI z5@6|Fd1ZGc`Umi@x1s<1x<;H`#Hq|FSlPQDz-P%z2pEfTATom6<uCBj{SkZ{g)B-i zwJhnRGSVq!{ST1-={5M&3NH(2u$wyc8Dw_91nceX4MsYh2)YYrzMh7B88J&N5N)XY zOFF5Hbh>Vw549Sku~B>Em0iOfXCQ{TvGSGWmEFRe*MOzZz&eTtp-HD2A8x@QBWpGP zV}Q}FoAIY<Y8#}J%19@bkxo?)bpgF-9u|H`UfEqJI~6+i%FL#TpRgpIMz3+gwvt<* zNgm8Zq|^B3kKj=JD0op_UfF5-S$O{B3iLZ6uk4y{OID{*E;`|yhU;saD$_*wpNaH` z?#7!KPlLJ|n+1YpZ_Oaj^V6_78o&KE!3KmigF~GzL!w3Mq%x<7JNTp~1aH3%OVUZ5 z+RtkM{UZ}#^v^m*eWa6GmUL1X>D01RbvX0*EX0?U69w&hhQitjCm_R3%&4T3#XCRr z|8WSGti^$dbW-=1bW$1VRHw%~YySs{uqNf7Mp-UYtX^M(Yvo@--}%_B34(nroCykK zNyDBDL}f{*?d5XAoL&!LSr05rI;m}tPAVgvR7N^2dZ<M-`1d*tjKDUE8h@G=n>CAd z;(!F$`l+Y!f6_^_<cF7myP-qYUIrtb{<~8KMrK+C5BlO)pou8Eb)^L&9v_0KN91dp zgZ3n=(`Xl+Dm+WeTwmK%nI^iwHp|H39ve?0YPbnNN(|4*g7t&Y$QQr;Ho;;l__EU- z4@2xo+)R5C%qdudQ9kTkyQ|Q@DaL{5hUXviveL^=!<9dfMG2<XM>?s@CgQy6=Vk@Q z#lg=pI4MBcscp}!Y+=GanCOiem2{e0Ap_f&awjAn!)Zs-N!?$&s8402)6wg0tYX8L zuwWj}CUX&2Wtuz7mFEKtEP=D#q|=P49xSoC8>`U>XU|EejM+U|(~#3pu<<a1kxptG zq?5`>CzX*-z6bWf;=To0hVPhRNT+^q0X)OAv1~<<g&KdFmPYerBTGfYg={!$PdfF^ z?ZF%+ibC@#_;d&!YvaS*nfoyZgdCEuZ7w*NtWIMrSXQ1pea@eexxTikG7Ydq{pcL* z>hO8c?X1+P#Z6y!zsgcLksx)NyUw3Yy|xNY7HVp2rd^a(nNzU+DGM{p%NWS{QtIS< zQJCFcxD_IQNS)NOq?5`>rxDu=u-k5SXc&$&^rTaqo`<FAv<PZlk~&oxosB(QJO`|c z@sN{F>i&{WDkGhCKS<Ahq`Ux^hM^LqQ?_CmSiT+!FtIQyMmo*BlaUR6{1oaNZ-xBQ z>HLCBEC{whh*%++bW+<Oom56Tsf=_=Z@&Tq+T~^)?KsO$I&Itg0(RE%WZUmZovwyv zWX&fuhv(vV??|UChGJp<7p(<{;?ozTlUoZf_9Aixlv*oa+vJCm)oHAYP6MasW3I1l zs!S8zKY2%C7Tn!f+c7UDYY=Sx+G5P#djYikfrE)nu%r3Hn03-pnBmvhVD==KQ?O=> zL)en-yP?3NMn)WnZ+fWlP{*xW8(`BHWKn{t^^s00vx&HLT}m*1d?D0sByRx^KTw2i zg*g!Hg{QxioxU6_#G1~W2H_tE7>smM_t!4!QyJ-WepDXj)9)-~5pVZ$5m!z3VczkV z;O-pEM5I%?n!fCL(fg3{8)gK`PKEFIvhRs&;LLW^j&xGnAe~f3I;o6wIyC4tbPCGP z7KtoNI+d92#>%wyX5+GB<_$Iej5P`Z^Re+YtHPdvs2%CFE?rL6;of{}FY&`4q|?K9 z#=hlR3X#4tJ2{UhtJ63OHX^fA$$two*Vi^xrU8~XI5n6J($~SLWjI!YU@fwQF}>L~ z7}5;~7@J^OgUYjrBYU9Xs0IeJC&8S8P1sR}WqEQ2rdG!|5M47Xbvfe+!NV{)5?PdB zYJH@W%4{O8(Eifwz2^@28iSVwl${dVmSmP0o1p2~&IbFxPTPan>gQ|V`cTZWq?5Y8 zc2S?oNT*Mk3a}}`PatnE)P#$;#k&eJkJ~SxSbFR((rH+fKa0)r4fZs|EI~T$UKzkr z4UL0#fZCBxY8#}J%19@bkxs*UJ_nmyaW<xwyk~cByc^5eIxjo25ciFATKB}C4SDh> z^zcB%NT=zg3b6tScdhS#y9FFKupk>ycQ1_EC12ar&L*qVc#CFyq)uqQ>uZ}T(?s|0 zuT+>t6+H$+&fzH?2o}3Ln5DaP22yOtj9?S2oFjydsDBx%-mGshdlJkkSiTY^SYqqv z@Nf&pf#{lL-lf<A_q&jGFS01X)cQy#mDxnx?q<bV_|$W-&Ryy>*rNzrnDP|N=6I1z zI@Ru3i2dF8D2!N(S(bEC_t!4!QyJ-$CQVM(DK-VWHy+jDBJNa{+-ywsR4li+|Mh>J zynI=zC{MN}0K1TM`k21}E8g39n7KKsD6^A1_A)z3CbN@dq|?j^XJB3Ca8_&$szcdn z(!3YYzghqbypQ`vI$hso++|E$01XQbFc|6dv~B?wHYo%GZ{uK0+37%=+-z#>B^Y&9 zzP1@~Ia!@1STy4!b;5Dk^|eivX`=f_=E=c~*%WwT!z&mNtk=_g?0A~X&@Wm(QQ%Rd zFgv~M28_JX(1^2(IF&gC8$G`OtFiDk+}e$CAiAdZ#6oOg(}%EgKe8yn)Uu?L%4{Mo zU`2iwdEyFec_yDI*zcW(J@-Ek+s1b>>LZ=zmCVLcw><^p>*BYXbW-=%F6vVm>GZ6J z2W#r?##ZFU48uj-KchUENA}e0@H&~DQm)R(;$t(gZ|h`sT7DxlYkTrO>=8e<K{}~z zkWMNiom56T-Q2PZ_SP)PK94|6NT-D27vN<`Ar`p__l<N)&9ksUqgTMh4Kh15tCW>3 z4QdE?D&RRF>2&R|C;Q`T0{jsvA5f`rBUzm$S~TM$bvp2-5OaNPQ)Qay{-8|7*!YW= zU`rF+1Q5)lX&IKg(@nUQqo=`a#5gcx8CA&RhXbHJ3FZ_mF;_*FV)a+J_5m{+h^{%3 z*~(_6d<BPpAd3>rL#gloIw{O1;@T`U2Fe__;eO|?Mp+u{vQ-XYeeDUbAsi1m>Etmz zh=u)k0T$-48H{vN_t!4!QyJ;Bv20$pCDDToNIS+T%SBv+-o9*FIWN|-?r4K02-bSH zAIrEsJ9~RfJ}X}4l0VDQ=oxJI3(JyDY8#}J%19@bkxstL5@3E5V{@kAevnS7-9JN@ zJ0;oM639rWjGF>j;m)g}?jN`<l%4+FQkcE(SOdQ4V+}?+<;m&G;`|dK#ZLLGc;CCp z>NLrs86T-rGxtE|`r4+-G|~OFDwbl7(0}2u+i+tOK(L$(DzL@}Ps5i3Qm3(5t1|!W zm*CYwsguf_qOAL8#$skXhc**14n#LJ+FY4cU+RQivyepzrj{k0RAv)#BkxAApk8Oe zEj6BYlTM?DgtJZGPe6^kQm4$jiZkBs2n6<%I;s0>7xk%(blP9CAiEjt#@2R`I%Ns* zV-dYlv&gMdr+o>5Eb9huR<<-U8tnGY3}WrO-h>&Kq)uuZq?5`>CzX*-xq=^q^+828 z=!Vp3a5>|ae2-w(cC^%~z_B29=+Rs_e?aO~%O`-PU*ivJ3yw3kk96v`pb*QD?J`(1 zjx%S)XFN()r^yz>rr&g$Uc4mx;quz1$~4ja4_cICQ%fF&=xs7Pja*)ZrC1XW&+18? z4tmsO>t0`gyXB-#DszhZ7Qd{?w$C$8CoNK^ysK)n7!M~j@{&5KWl1NMkxtGB)!3v) zXW)-HGCSp*W@UF@9fyTBsngU;;jBo9!;n_I%}m)z-Cxp4Wu#MJvmiEis~byORqAxO zRWM7jB{h2)Ep=j+QmjOvH(Q)d>g2OCgbmzr9h&c!I;m}tPAVgvR7N`ed*TBuDO-tc zStE5iGsA;@y<CF1H<CI%I~T$h-JJz%mPnmS@#3u7^xW{xTk7QZZ&6mt=Q6x{E3?zK z7s={0#YLx}Dq+mw^4g}#NT+tSBUr%c3s6a{PXt1Vgf2DM@G{roa0JdU+XNf3p#fVr z)Cno_<A7yPf;k2AN>i78+4dFkJ#B5ofyfALEcMyYn=e57fGkQdwLa2GWu#O76}4E3 z#2c_+6rLwhcB<OFGP^VW3e+2j=Mps7{dcxJ^Rk?WopW%`g>+K)mvmAY=`?9<F;?(V zI#%`wYQn|#ZE=)fxej`<DQTomz1&N)T3fTReG}zi=a#(;tNQQ}lns|Uscn!>DkGg# zMmqhS@D7@!t;H<j_k4>Q+oNe)wtBE(yUMW9cHFm6!B#oSu$wKG!53et)7<xA?9cEL zux7Cw?B)(A!8}SQLi>SIr*rR;)hXIVCp6#R<+V+fX`=fp`IcjEdfbH)-|=by1Up%% z3afheF>Lq;rwMI>X-(^}g2Bc!K$B1jdlJkk*s~%v*oyXUY;kj`(}gaz*fI7UGDb<A z)cQy#m61-Cmep9!X-{GB-Ofh4q|>!hR<^3h1K1IdS3jiFhYjIu+>$#mPb`lnvy(gq zq?39KNT(suf$ZbrOe{@jsngT1L9EB5tZc>_?5+f%SjNPXtoj}w)-RXTX?%-N_WkTf zXq<p$-Hbou$6J+SFSC=}7MYzSBb`Rnx(}Pj)@2p8p*o~f*+D5;zkrHt<Bt&rBb{ci z3S%r`3k*Dj8LNh9*L!>@YyGhSd@m<;s_`L+9jN{W3g?hIz5bG{PE%cU!g1O4wM~_2 zqWjmTEM>ekaSu8*z-c%TtbOhZY~H6QuqTboPRH9;VfMzaAwv8%ie1F1%qdvYP++Uu zy0JmGrA}^tR$@&qe}{herA}&D(n)2c)3T-!EN0y^$lF9_r%L(4S+DSi&^B0Rr=gRJ zvs{avaH+V=PU`-WPAVgv(sjwtD&)?@R!@{VmA_Dst*()keL606nzTQV1%>Bj8OlkW ze9IJN5669mDW9ZHY8#}J%19@bkxu6~UxE51YO+V3s0rzG%y|3yaco)Ex{b_ECl>{? zuD7>?-6?enOf1UsrT+ug)Rj6#A1lb_!5jFiwA9I_t?{Z*dc9})6q=S^W4*ieYB!); zpWcl-4JhHRMRw{ppwpmfE;>a=7G$okZK_NY-QW6aF?MIM8{0hy$6F9AzDNZY(>@Jr zxCJwoO|W~JtFxxljR9eEPlMT$U{1l7erGIm>+EdFWQ+sxt!^J%g>B!Gk$DOhC74<t z>7+8!DL#jl<u0F=_4|Ss=aii;tO#Q;+MT`Wirq@t$@54MOTQx}E74_w!6-Ya`%5~h zjC9&pAQ#Kr$&aP2KiMeD#r8E#<HOFL3}iFMPBIu}r*f4Fv4&Mjv-RgD8tk!%%h$)B z9RP1OAr8yB8Go9lwm~|njC4{N>2%~7hpR1{u_iBZKS(F%(?ob%wkGR085w1#l0ik- zNAK&<ay@QK4bkp`(M4DzJ|AXhiZ=e=L@>YYdDxoG>Dbku^0iI7d$KxBx8RP*E4yb^ zv*;<W#_)VsiW$|?11c)h081cin>CJ4&rr~a1Cu>TeVC_inib2M>>V8A!AsH_%$@{u z3RXW&7QOwaV?5gmj017VAN0(u2RKgf23wFt35M;;`ba00+03|Wg^%#KGMS9Bq!Y$X zpU(Nd;&}{4Iw9Nq@E{-EtgyjICuH&%*v<MRBb_jAMZuk%j}A7<ax-rHv28rj3mNHz zaZj79=dWJlF(sXlB?fKfhh8Bgoz!+oCzX*-DkGg1bvVh#T}!8D-&w?{k91mj>^`rP zXwhFi3NRSyw6cS{UOC4t9&^y&V5HO1+=2S;PPKXKU@S{I<*VnbANHKV-7Uf9l^yp? zR;L*j&G<;2mJV;g`(Mqg&zv4&R82amOcULYZ23oD-Esmq3rzN~PeFaKS1v4TvL4ZX z`m#tbgV~c{PQfx=tH<YU^wT>u$2bsO<A|xnr+xO*H@8L>B^b6V>m!|1W;5g3{4A)K zc$>{AOFCg(Oh^H}$P-_Kkxs~JwDr~Bdj}bebV4SNf!(Z6GSUg-J~z&#UoDKsikopM z_vX;cXvjz>jGH$tv%crwFoTg!$kHv&uGh_ijC4}lC7o18I;rgc+393c>-Fk>dYd$; zC+ReFM|fOhoUx49I{ZKB^l0iE$LCrF^%MD#kxs+Y9^|z=)9LwN6*m~^)Vcp09+oAW z{;YZ_QzvJpWObTp(TtDO>3V!G-r`;%J@2qAM%AQ~$~4ja$nIV#qNm#KVZ?#SDjhGW zhe!Ws99o;nn(YqPM|eFmm^}&ROoD;v8f-(BjY@)%PHLRZjC<EIM2~Iz#rQwzgmJeU z6w`Zt!R{lSkmW2EsL$$=-e9B?GI<Q_W_^;8PQT(Z-OXr}<w{&k3S^|yuQ<0Y$VjJO zto;(qo}|++M#r9XQW@!_GSZ0|KO*-2&j7vrV*KinP8ly*`Nu8+`si3JM>@4=T%CVR z^w*cir!yGoH19(TeqeNAeV2a*gON^iZg=8Wr~2s$?K7D=X*rYCX_iGZK2oR9`)TwY z-k11*YuSyeNhg(QqWh5@`f`W2@)Fs^WMgi=;Qdynz_KRWvgZpga^j6~xa~<WXA%rV z*I*m6Y*Z4AbW-DNX52%|8y=coGq#0v!ngx39`Zwx*j1zxvXFH*`Qzi>1|yx2$zxzQ z>ywOh`W4qT0ta`l#AS%WuOsR7E3Rcaj3b?Xv3*~WkxsuD9edJAWu%kJNT&ut7JWyx zhkWK2RF-r)SjD0r^Loe=a^b#_PVXkC(EFB2<evgj9nz`$x>Wjd%T4Yv4%H@|G-J7u z)m5+ZVmzy<lW)Fcb((F_jE~gmvVRqx^Hq9&(b>$Xnsic`Cb}Ql`5xJLm0Wd<I563R z2EP12+XyUcvM+}M_`S8I3}#P)IR*RBtuo(RI*<=qk8vQn=6p2c@y&|x&YO`%35M;; z`ba00+03}3(+co@mCGAtNhgde8I_y&ELYWFq!Y4UURikQ_Vo=$Iw6zCz;4zj8R>*^ z*ACbnUGha5Ww{yGDWtb!%;2U5Bb_j=!lTX=pDo5X(g|6cj-?&7!tgkgPHMZPlgdaZ zm61-9bN}hMcC->NKev%lAL-=Ze2-)Ps0utfprOG?r%%kAM~*DQbIil1G)SjgJ8V2` z{uYN8jVh5&vln&Z_WKVUv$sc@I)PuZI?b_Y#z*SpmLoE@=_`kI{CupIbW)inx*yqt z4_mCC&fzA3$zp^4vG&e}U1&4e-0G99bKBs!Y)^tY1?w=ZZtRWvldY3P9Eh&z_&hvz zV28=pUV=plhV9DwNGFxq%(x$0=UM%}h8yjYP8jExezi5<8)h)l3EAdtJFQQ0;Man5 zLMD%a-K<YC(h1|T-^vcP$6|MJGcK%c5jfTdyNh(fxO-9UU~xTUq!Y5K8%slvdsvoq zQrjh+R7N_fjC6W9e_Ta(cG_BZeLbT-(rMMQV-<$CIAwhlS=V5s)91PYu^qD=x1Q6G zkxqj<cZ^%z>7;en1>6?W>63T5IKA-^>(?!fO`W2GlGSOhMKeB9r*@ytI>r?2$=_~h zZd6S=sZ0~ykF30X0Pk=gy8%pAf7}RuJ<y6}O}2gL7;fo@r>6EKm{YLNDb6^KEf~YE ziZ~EmGd=eS$8F~r?i_$+qXfftWqqWR%4}xb{B|}zGkpc4Ea`-C|I8W8r?^!!80m!U zYNdX>X;JKI(g~S726nSP$w()Ri^>qpFNojF<7V9YS=qVYN6bW|6UN=Xu+gC{#$!r4 zA=~SlmWQ83MmiyrZIDhXBb`)6IyLbfWqm!PH;;TQv(v@Hk0Ofi?9b0Hkl887FTLYK z>c9BMFl40D@p2V;!_C$Cw#k@LNvDtYth~<Ot$6W;%}kwaC6m=@o<%c0Qm1~0{Pf(u zDI7zm;*}2Rq%uu(KeBI`3OSzto6m>?lhs~Z+tI-@6P7jEKYe;RCO2_6m^}&R6s+d~ zKi&Ugf5+Dr7zd(jwy*QkW1ft1Ea-wPN-%6!)<-(2%x1=&TH3^s>ouO+kxm#l^nSP_ z%cC3yBb|`-Sdz<e+Y2W=NGD|S7}(AFBqN<L?#!KCaV63P8fCc|=UIJGT<(wngON@c zH==!(xH8X>kxs}`kC_<P@jR9#oz!+oCzX*-DkGf=4a%y|?mK~3I^%EDN7<?0+T41z zp^?1MZ9juic1ruRfIje#hmLXMupH?$a9csWNE$B)y-?U-q|?OAh4r)_J6f}?2{d)G zhbODke2Zp$q)x@F2I`KNZdT8Zxs9qxCzWZU`;mQLkS*fff{aESm~76SS#ci4u={N$ z^J4*ymbX6}hufY6b0)z+bPcv4%SI)^NGCPUX2zWiI~o^1Kc%rPq!Y$P#ZQlIc^9v0 zNGD|dI@uy@jk6exbV4SNf!(Z6GScZ+oOS~B<VxJyr+6ttI{k`!I~U_fr(dkWxSR$f zoqjPo_N0@_NGFw%POJY6)R(tu8W%VgPwh#kHvIziQ2}-0`mWAwFw*J#pg=u)oei<m zci~r_bUI*^z1E;f#EJ|!sX{ufY!#?Ky>TMq-Mop{A$by{H2jE~f5(!lZj;y)X# zg~PF0(n)2S=ze4!RxGs6>x-KNCM%yX&g!+N9F{d%;m6&qq5l;#m^}&R6s%VJ@w{34 zF4oo>o@0UNnl;77^JnSXSr4Z|79|+AE9)bjRAw{dhPEDMJ-SeyJ7L_)nCVu>40-N^ zEa;D=)=B$n8*PwI$mB7woApUXI$>O{U7oNo1P2ao#@+VL2LlVqb0^Wpj;3%nvpjb~ z#;XQF%pxpHI;riFPAVgvR7N^IXwivR&Ebe!-xV(@NT=BA{rKm40kORj<hj$v`J;KG zdB!b+O!C~xW85U}6Os+QkK*=`PJ{MOH0H`)T5rB<Wa{LsoUBd@Et>I>I^jj=tn^Fa z<}*xuq?5`t(f!CupIr!b{4k4w$u`}b14p{2$Fe3{v2q4H-C;49JqhL%>}S@r`rEJ5 zq4{2n1JN}%XQtIVHl7Bf4k3#Y4BM6UkxnYJnQ;eWXT#8XI4?%o3FF+G&WFFMW-%CL zCuEO*ECOq<yapqkkjZ0UH|vv(bi%m#>+P_y6b_W!j9buSIedJV-(U$Qi)pzM)(k~P z*$K<OzQ5d9Sr5ySPHMZPlgdaZm61+9k8<lRqhqZZKNc|RBb^$x$*EsTmjh~hV!NTn zpQi0flSv;t=r7oQ8c$LvJ6Y@8<pZY}Kk2v$%aTsz-hAa_w(5|koS&(aRx4SZ7Fn<n zRi`1B)<L~|zDCtjC&@Ix61Yp<pDl*aCYT_>Wb4yRhgwgt3vDJFQEUwKE`mzflVHvy z7?|B4%SI)^q)sx<X2w-ZoC02rv0J20e}0+^ix+zvOzQNdf*lTd;h-aRlKX2n>yu3C zgsjq7AEPW+;vTQY8#z)Zj4Ra;<D^c=W&&y~b&_pJog|YwNk%%w^!L);x6g&{R=guY zIu+~Sr5}4a7q&&=AWJ%>o049ClXfAT>w|+a=`_1lI{oHeJKR5sWl5*>57O$R7p#WV z?s-j}d>bUI(?1r?_(+}dU9HCT3sx9)7?URHq%uu(KeDuu;qdl*Wg`wu_MvYubgNVv z%bM)&e}!PiWV|0_Pl7oGoA9+7zdErH<c-ES5MA@WVRe3|Z9zys16h<{*siRPbW)kk zjLRAl1is=12<e1z>)VxrTs{?z`bZ~ay>^y``&FtNjC4XKkAdB+PcqU8<92oJ3;zby zG0Ji??s9+)hQFv~FwzO*+$PV5{gKE>CuIA3jDxRLuq^4Mwo5vxjC4{N>Es{QlDFx8 z(i-c)Hb|#YKU?zD_up9em#%3r(y9BGNWTA5Zb%q|Dv?gry+io|x8Cq=0&WZGlyhxG zUSM`}7`>>TsS`vdtJ7kOW_+Yh^Nf2*-=kBqM&~gJlTIqrME4^*)62pRd7$}VvP@5Y zK)D7USk`1|wtX>v_27qbxa~<Wr(lcDH01aDelZ@E$2bsOb0KF_UiAED$WsAXlwjDd ztdDe3nazwVaPm962}x~i3+aS$drD~RSrNQ^Af1r;r%J(gH^M=ibV4SNf!(Z6GSUg- z)?{{Lk6Yuw!OgfQ0dB0n6EhL%gmJs`yRpLCF=LTV$i|j%V=FUaS<*>umvmAY>7=s% z>$K|-UmSH7G9+NOBb~;*-NNG+Il-?KZVTzOD(hrkH|-a2?}^(&Iz^Tl@5oyxJ)5=; zM<mi|<@GeY`|7kzUt7S`DXMj{IxVqi#z)m@-hy<jXf+&frB0G*rV?JOQnAcKF=>Ly zT6OvXMZ9shZ6+%*<qgzrn8IN8B$zV^24>gDvQbGesgsPenQ@=3U*Y*+d>TROl(9$( zHsr9X)0H}@nLP{>z0^tWuidOqGN}_X-;LOXT!}jtuj+(xnFe8;)CpPNE~-wl4XKl4 zQYXnsr*!WJ^8Ze!W;HwG*Mf9PJ8U3Ndm}ZQF#!j1(rI<KzP$LTG;HfUOar7-7N2&! zS9%Y2=na-7ooWO(<Ny8eU=NGtGj*ESK3ScXS~TM$bsEv+vZLTn<F|m1)-kFkom8fY z?nicvPl5J7!H5HsRXj5uu2;cnN1Mq)=8gt!s=vYPNie5ip1xNc=LU|3<01}3*Idby z;P^LiG@O`@WupYcc4d8}lgeynT-~kXU}iuGqb%u!ar3K9f+_j%%9FAavca#Sp=tFh z1|yx2$zxzQ>ywOh!nnEbRzsV$*e%?QYnE;^?5J4XU<oGcyHJO3fz=E~I$_y{ySKyM zL0FculiDunq%zV;Wu#L=(J($OxC6ZY6Wb-7IxP$2jlT4QQ6KT966utFus5&xa~v#b zhm3Tpxpkc5;DCRi;u#ziNvAvYH#+_qF%O2s)i!ln*ELz4mRU68BXz<Fd}%)Eq%uu( zKQh<sgv>QNA(NTIZkCnInFIsT4Qkn_BpB(W#@Wm`*X)FGuGtBhYj#2=kAdB+PcqW! zSKRN}=@<JwJN;t6XQyB6_w4kG(a1nLsf=_|8R_(>T%coTyL3u+s$I|D@n?s0N_P6I zua{%;-|3X>6g<=(*JfTiB|B}5^^KeIPdX(#9q*m2PIil7lZ#IB96{<NnbgVk+zEHn z_1p=WJlByrNk%%IE;%>$s&S4rQJiCuPK_@97u#|B7YGqd>Lklbog|Ywxt=@Wwz!@< zA#*)<LMHcD>Li)e$@Sa`%etOBA#*)<Lgsqzq_!({lI=>JBqN>P<gLypHu?a=g5<eV zVx644)7l^K#~wUSqU=;)$xKIz@+p}Y$aAOfUsAxsVj3%51y67&JN3Uh)|&cS3U=R^ zc=+|J2d@VttJ889ovPHa=;58>_>3Vqh>=bz(?m8wHhbkEuI<9j1e5v9JH`inDU4-J z=707SU&?S?wkN@yf;~!U(I@tb=Z~sl9O<;FuBK=Ba+*gsKt?)YyRtsgNoAxHvh=%; z^WwMgl7a?1WQTo@^1w^M2BX0a+1&v;fA<ZiI~RydgiIa-(n)2c6SBfjw(<-9c&xZt z_STLKysbO31d~;MwUFn(RLNj8*kReQylZ)w4>B6;)HX;bm61*=Bc0OnalCK$bo!iL z6^#05u&a4-1&^KUrl&oGgFET8vd2Z<rtnkVbaz>U(O{RxJBQxy^<bW{29_nAzJz$` z>3o;)-q#~coxF!8tJ4Y>o#rpF@%4i=o!fD2C7o2JiS9>sb$$xH<aOLEFj=0Asq}UE zaCdAbTOOQRKikFEVD==KQ?PV9M)I&Gsr3)tFb+gF6nH(9|J<2cFV_cIlwjDdtdDe3 znazxwV^5{GO^Nr!NGFVYbt$FZ;%g~`kxs})Xeso91#t3!bV4SNf!(Z6GSUg-x{iFw z=cUGTB5uZIzW#_u<wr(3Vcg7t7kH%wcy2;EAxo%{$ltWVE+w7Rc1b6dkxnWjoknTT zBK+!l>g!s8Q6K4aBj8)y);~P;+n*y0Mmo(%Ovej&r`30NK}I@hIS%o_1K0WIbf`Az z)Vstgo^8WRUOTdisZ*Iz$?CMyq8T4~?o?s+E8gE{0d%fg#;BTfQkf>YA6fQ0v*GG^ z+;lM6)aTQnUOXmTo5{xPoD6?u!TUz`B$!jM1I|}G+IKQE%z<$rx~Ads*S!7KiQrWL zS(ISduB?xAQkl(+TXK3Tq}qm=jda4eM;&Lv&oy{UlypLNBK=%AaRzVXkWR?tF|eEU zNk%$h+|*XfU`0{vDsIMgow^*Bo<e0wCycu^d@a0wQPN<f6SDd5SAbgvEK546?UGI^ zBb`)6I*omtTAyBGx;0=K)<-%u$&gylclDk1#8KQ9<eGN1TMB*3`bN-Y3T_MO)V9GH z-n(8rH0*{kO+?(m3U_$%IlJJm<E2fVnomepr&ShgMC$a`H;dlu+7)Y&HkfrtCzWY{ zC6N8NbJV(MJ`NmUvddX_STo(ii(i|`HkVv(E#sHPVD==KQ?T9vS@avtms-;o!8j0I zQ><JTeR9}*Yj9~~QG#K+vOdyDWi~S|>!Qup6CBSGNGFV|`00T4@ZQ1(Bb|^PU3Ahq z^$uPEl1|9vF|eEUNk%$h+>O6JTc<_hv@JK|JmM_Su2Go5NGFVoPn8LJO+ZFEA=}$A z6|}vGWl1NsUD8Qqq?5`>C*Kz7^n$B%@t{;#AL+FEd<MNok$A^A-%x|$pRvI6%q)7q z(Mhqbj-g_t)5TZm^?VikL5=*leN9AMrM(&TmJLH-`j&80r$JMb)oHZ_8<9HgYE_z- z9P$9l9Kmx5(n)0+U<qWG%io1{Kkz{oFj?)IH^H~E%uX1`yc3|>luSmP-HemWDcHp3 z;r!sWtFSH_<3M!HyK`l^qyAM0n}IA!Ftt9?No6)Ou2qp6aJ8_^P8hdZzYXVoWOhO} zq5D1fr>e|O$mB7woApUXI$>Oh`*X<oFLn(#<Nm((0&e8SZ$IgTam$QlXuUdN8>ADm z>z`i2@?uz)bW+<Tom56Tsf=`*US%^M*nb23@fzzRotoBL#%Dc<folzLTS%t^?TuT& zZ_b0q1pNAtPPSUx9d(C&g!oMuLpn_fPsRUR{|XkamD$NYJ6WC9SPVCQ(+RIGio58f zGEH<pvWqS{A*<=46EdrdPAYSX`tog@96KRn0u&Y6f#{mW&#uLG%A5cx1&b0)ElWD7 z%x1>5aM20lR=VhfY@CZu$mB7woApUXI$>N%7oCv(<)Ra^B`!K4OK{N%nQVh}QW@!_ zGSaDHg>wABh4WA<Sn8xr$j<8-zf5&~FRDX2UG1^KQLbtt6fP%q%Ghe7b?IOCAp39G z>Ggw>)*@f;!}9x5C%!OQoz_}Zoz9Os!5=*A!XpnfHa3B>lgdaZWJ@~q<;UJvH{w7j zfoyw?Av~fSUP;(Y*8Y!Cywhm;fC|P*<`i*$=}z$YtE2etaTo`p3)?x5@uO+S@OM*@ zMG2;sC7o1eGvj8CAI3lUV3wu94�_`-{KI!VE@(9kR0Sy?IOp`G5*Cc?|4keUgz* zqTOf3d6|)ojQY44x8zhFJ|s0V%1#*fv+WVblNdavl%0?bc%Fd|x`&LiliDunq%zV; zWu#N9MvZvICwuvvN_el8veSs;BYAMo%{<ped>Dmv@{V22JCB>o+Z?N7Fv?C-3%uk{ z|I>KM>sXeu)6x95`Ra8c{AXqPfXd@#$?CMuqUu!WWd@%0W(<FC!NWm1sZ0~ykL=G} zalBLcYDOHG?3?Fde$ysS<4u;T+A*H;1n#0e3FZ`R_+~G@w$CvhauVY}bj`<!>G+;2 z$9VSB$f5+pc4d8}lgeyn+_Rt~e0E1XA0VADZuuN;oIYC(MmiyLJUhsnjlrv~1!h@! z4D3lT(h1APUs%cu&S+?q<z`&U0dsj|Yh<Jo#&zD>m)E=@bwZXe&vd@OqtpqRY?pLW znWs^w@e|Za9O*Rv=n8AzkFh*u(>g{B9xqMH^*W8!_Y>zY-SDeIIxP#Y<Jg&5=c)d| zTg9YPqXHxNiOtJ-Vq86gkxmy%)#mA9w(tmN1M}P|&6;F&T5rLI<+&4@KdfJKIN1W5 zli5i!4X^~p9r;in%FV_LPB7Uv?`p6k0TZdsWQ&(pgaltaU$G~_oPu4qpWvz1SAgt= zFb+i5RC#fNSAlX+sVK52!LVIfpUh5@+03|e7b-)ygLtVRvr|V)ZRoHQGnULw0gW3$ z@D0pZq?39K>}GxP7?4gFcXh4}8m+>w6gT6Rm7V}=+Eg_d>4b4Xa~46nm?{R7*(u|^ zDe!bVmX+B_wjr~VWTcb2eWcTwbLV)CE&oNVtAO>9PThK4<kfFQTbtXkUDD}Jp^JQA zZBIziAD;vvoqS*J<FD2(G*(c-vZPa+BRapdYApPCR>RaOU{kU>ZLny@N9r`9!AD+j zzXggnL{mv8m1&~;kzF40*1BwRB_j?@wt3raYxZ-v={A#%i$86xm;>j3>`5@EV9cm5 zYrj+0ig_>&MA!VN`;lLreAHUKFtRAYuw7Xn>7+878TTUey7kOXJPjqCFfQw?$JXN; z${UPyLbk;CX~9_+u=`0TWbzo;&H5xGoiOgxuo9qU!EZk|<C;CPLZA1T?MNq#OB~+| zybmBFosd2CtpyXKuq^4Mwo5vxjC4{N>6Ffq$ZPgn=h!n^KA;j%;yItSy0GKrKGcSE z8lCWgmusEF>NgEfQb?y8Q(tj6-~Q0K5tb#Lj^=pJqdr%Jn}_O{IyKmltWFy(n(>i3 z<uMZJmG+xpW<1(UI;l((-H&WYp><$!$AJw@_PXRs7+kvumNnVK&r4z1Y`ogDC&8S8 zRh#V1H=S7uyXIgVh_2b^or$08uoMQ*M;0X*wkzu+om6Hs<Fw2xphR(hqb%u!akVzA zh9ZSgG13WH(Z=iHeO*+HbV4SNf!(Z6GSUg-=AJwNXFB2F$<4T<>p0YUjMJi|6UG(z z^9;OLjkC_A6S5AM4nyVaSeA5B+a;Y;MmnjCbQ+p@FyB0K6wKU?qXlKBK{>nf?GvKm zTw&Z6(rNb9%Dm%`C9q-$ZVTyjx%hfV=$HNAJOl<Ko%$@f>v(;37kKTjWa`v+U$Q!F zvS`Lf>V#Jf^5q=TNoAVoeq^pMMj>;3F$$S{k;!hBmCPxaHY0m%m%(Frir-$0S}<T$ zxjX&F7%xkQ7`sV2sr8XgDkGhcxxN^M%=N`6WUenpA(O{|bW$1Vgv|BDC}gfLMj>;3 zF$$UMi&4mAyQGuKNGFw%PHng30{=Rd_>v)b&PzJ^pZQ>Q`&OTysf6coq|??_!>v)# z?f5|tWTexv0ec*?O19w{<C_|cbZYXdnxpm5E_~zx`C`<JxMX$OoP<t~8tmoIY<P+& zb&^aom8d-Z0B^M)lO~w#^eE0R{uEQ7CcC=-2>((Yug>gAFsEQ^KctFXvhN7jYG53Q zZ+hju<0_om{;RCiN!BNIl1%CpYuEYYM4Z;6?1bIWKW!WzdmX=pl%0^xjM~rZrI1&4 z$mIS?og|YwEe-#NS8>N<#l<#b+1(>&@`N+;$`0A&1D*K?!0w{#ge>v-WWMqeb{}OY zwOy%`Y**?e8R-;huLozxFXo5K;Z+>zbnsyzI5&JXKa#GF!APf^Z#P*xzud+b-opJQ zoj&A$>X>_H3%4$8U@+3DQ1}Q(=GnWr|8#j}x9>=@I&DcpC%ICH)JZbURKj%y6+9fS zE2tooE1uZRvXVIkTlVwX!NpVj^lf6L6%bwXrERW?{U`eA`vi+JyGxdpI!R_T<6Kuz z!EJF}K?RxX3M$Ct{@Ts@B$GP1uAqWtT~|;+=DLCkGS?MU)OMv#vR$c@WTaEJgZ<%t zy-a$1E4=g|oznP}g|ua|>sf>G|D@Bxpw-qTbMojHJ_H$zbUO9DBp(x)Lq9ngFQG`M z^Kihiz?nz)nqSHs>=I5UtJ7ACW_;AaPOcOpb&^aom2h1_1rLYo3M$CtDkyfdtYpq4 z80n;zl{(3?QYXozPOdAcV12GDs33D)K?RxIU#XL1QYU1;ub}d)?C&e6{9?bapz@3T zzJkgx_WKGdDw8_NZ6Td1Mi;SmZ&gTHL8Vpo0Bf^0g_IRkw!QPPRvJ}ESwZDzzA+K2 z^+L)DDuYVRs(9>LA$0|n^U3P8EeV|pxIB%CyCj*^>0g(pF)^-!%hQ<1O1V6ZsWQ?j z+w?xMDd&%d7twg?Ogb&uK0kKbBI9XH!K6;IKB<#rQl~mDPh(=c^IV?BL^jCfX-s5t zf2B^6Nu6f9JdKHEo4P!WiL8&y)0oKWyF87lwkxxfY**?e8R@jO{&q)^1{0x<1y4RG zJAH0D%Q5@H6bM<0SFMztGR-aO7-IBq`7mUZovLO{Z9Vm1I<(Fxuk8AVO^BG&cn0jc zE1$;ny_&2}+mq1gNE1!JDmFo8C&@H3o4oCxLa&}6A5g)=5&ptWclhA$*vz<tX;bSD zI{6yRo&<9W*5uLigFH=Y{jG>2oyH7&TcLfbUrg#G>ytW3CUx36ER{acf|CsL+{t5m zO1<yrQU;r04q^*$TJ&<h@&Ogx54pcmC&{Ev)yux*cg30q+^o+&=MnFk7w2#iOg16p z0v|s|P847p_fjVE)2*;e-HbouU!`5ClWbS&BpK;cFWd&r$2obfs(7VHIz4Vu7hd#u z#xv%{t3A@`(8Fuif2x1s$3El!l1>$Fdh$#+K61CMl?+CM-N%g!9E~Uc;BPj_2UOrz zvO4WZLZ{cx9Wd~<oG8HEluR>~n6qLFJPec*1sLbCZ9TN<BPR-wX@9SVv3v6xn`$@9 zO6C+SyU)nj1%p;YZxIKg8`#GkvEzoWh8luJnO!5xN}VLLnQ^&hu7j+NG22O<ItFZl z47KD$0d8Nl^IPHCpK_u=-Cw&|pF9Rqr-Q8y!K;CCq5#WQsdx<Xy^|9K$d<ZahO0~D zL;<qu-A}@OA30H=wkvg#?Mj^_Bc0B0jpwbp1{Or1I;4{yzu-umz7f7(#CA!iTigD0 z?EAbOhP9Uy1v7@Xw$_}p9lR>zR4(b1>h;}-AGdZu0k6vDxl`A~WOdqUF}@bRojWzG z>90p0sl>lN#S2NwPAbzx_ead}*Sln{!~6Q;w-5yDe#c+me>{?(ZzpfETrLuzcS{?^ zkFCaCw2L^EIR(4&!CxP?rX6p%5#vZFXCHq(Vp}I(I0hN%q?RR}R7N^geCw}|E7yXL ztRio+Y>DyLi}!8FXGLHaQg#|X%3t3yswVHy4Kv3Ap^m!0q?5`>r<PHE`skt&d|fKM zBI2U#v2}&?S@|pQcFpkq7iFgubqnY#x`p!hJur^0>`Da|((f%T$D_UQI8$~~+aR4( z=4r%gn#xG04!NH2`JM0a)W&;pzjO+Yx9BU5oZ_?eItC-1s`k#N_b;=Am+vO8?6#CC zt&hw4Ee=}aRUzq=uXG80+Nhh3F*)Q-mWfZ2)oGWDPK|em=%wAFt(`t%bEK2XG|~N) zXN2fSg8s6;3df6X5Ufj&5dGk~I@U4ca4@k67FR7q&-gshdiHW*gV~c{PQhA7gy?xw z7qo7^fpH+Z#y22DzZsX&+U_Z`D8bbFNGFxqL|obSA$p?$m915J6gSFJc8VDuqW4aW zvIexq0h)9gwJ=04c5{UF#&FEWq?5Y8c2S?oNT;WBL-kjmms*dF#AC%p+@`~!`qY-I zt^MjDBc1BL3)P!n+-JS)#O@-Uo?Z*pH?Lf8oz(&v>7=$nI;o6wQW@#gs$yQf+?`&$ zY61LO;MY&nQf~IsYxXb6Z|19R{GW6>Tei4<CCzZhrdjgbY452LdZ(2=A*vz9kxmyI zhv<#_=Y>7S`P8px#n-(`R;S$-Y*=2|`Q+&W@~VM!Qke!=0-5WT9WvJ|J7n^z%WjsH z%$WoO(KTw>s3aKaq{i9IIM*vXjB~xRL*{yAhfE#=yIG%Pq|>js->>X`vEQ%kezD)L z?0&J|uk3!Y->>XcMmnjCblOpAGB~UFDpz)QzfFR@O?;IryG5PH!?e8ll`FeNu|r^n zR#3UJb6EPoK0o!!?%aoDb=qS=IiyZ6<7<MP(;%HxMmiyLop(a!I`4!`&IyrDDkGiz z{;Ulvd-&=9HSwzSD?6Qwt`E&}`00lmAS0dBvZRyBNGD{j^G?WI=bezb&O0HK$AENF z8R>+~b>0b?>%0>(*Lf#ouJcaFWV@7|R7N_fjC4Ah;u>7t_#ZE~6*CiMr&ZVEVE^_s zdfn|o2BYj$|I0Lh+gbJNCy>=J{xog*DSJe0H9x(dxcNlcDMy_f*6*7N>Lnk_d8gOk zlGSOii%$B&OiZqyO**Me1Kb2;uIq{;b6r;)nOq0lZkCnIDVXooOl;?be|e(?X^mY3 zkrAHs$;{mL9O0Rwk&#YneWa7hNGD{j>xv_DT~{2L>$>8|<S`(fR7N@>b6r;)nd`dZ z$XwSIN9MY&I5OET>7+8!NoAx{l}1HbiTocOiDJnw(y3|50QO*XSsvkwCkv$0y=Ojb z!{h1vr2`r1RJP(HcrfxiZ@LMmKuM=ccT=+UWp8u$<HgLuE=P*B$^GiVJ{O(Rl}XLy z3bmw@$~4ja$Xr+MMdrG4FEY9MuH7svnKKDSI;mwzCzX*-DkGhcxvt!c%ys2nWUeds zB9q5}bW$1V^o#wza_=wp`^vq)*zYU%{$jtc-203DzH+b1NGFw%PIan#v3(7>vT|>_ zQeG@(CRbMO{h22{3p;UGS-IEV#Dl%tdrDckxBSpF>}>2gW#!&7X_D0`#zm(r^A1_% zZAj8dWuy}_*IU5ITyFs*lec?GCzX*-MJ6AyrfE5b2aDUiq|^6aC#-kf#_+U#<Sk&e zEa{{&(g~UCEnsA>w}6qk-U3D@j{)hVGSUf|>n&hpuD5`Zx!wXs=6VYlnQWJ`lgdaZ zm61*x;s-$E)Y<q0PrO%1+3CpT=5Vf3QGV(<UQtqZI*_{n9QCfpN8dq4*(vOBLdAsL z19-pmkp`peG<S6kYoC$*`Pp0Y7I1T~WOdr_qEq1C6+td|OggDd6WIir>q5}TTo-~y zCKqnDn`I?)3KkO@0d=Yc@M>%Ds*rT*<pprl)1QZ}Ko%tiK(#*7NoAxHGS`Kmk-07e zjm&i+Xk_vjkWMNioshXM1dYsfA!uZ-3qd1uT?iVPY?pLW8R?`l(y8s(X^^+biMX?` zQ4`Xschq>uGqs-M(`}rzAe};Abc4Wc4#$Ak$VexMcy7HtE0~WPFP|vb6qFOZfB14w zW1;F_S9Z26$?9~#MW-6s3Ng8)DCwj!O>{pp*QHjGxh}PeOfHRTH_J-q6wJe?5WD!f zvm<?dcVjn6r%Oc(F~7r+j#>;E>7>?2I;o6wLgu>EDl*rlR*|_bwTet01JX%lq!TjN zrB;!-F13oxb*WWku1l>VlkJjDDkGg#MmmiimWTBZZ2?h(3L3|Xbei?2FRL7!4?GSP zFc|5y_gg_${J&0CM|X@PoerJJ#VR$c%o`uT>1WDLRSx^ISM{Db(yt6Mb+YG5R;Pn5 zI=L<MXL3nV(n)2S=ze6bORXYvU1}AXTrSmamX*wz1S6f)vZRyBNGFw%PRLxBT1Do% z)G9L9rB;#2V?a8ojCA_NeqU<!7yEsw)nDxQrB;8j-<Mkb#eQFERb`};%1Ec^MTObt zn#--fFSYu8X<_ytuig6lQmb7r7iM$aW?Fw=YV}H0qmMd9T7O?^wbd|xw(uW6>+egg z9`{XFr&t%AO5_~_a!FCrNoAxHGS{V6k-09licBtzN;;{GbShJ741Au})B5pSu}Z(P z(})g6eWm(an|(w^I;mwzCzX*-$Xu6NMdrHHDl*rlR*}hLKsu>xpBQ+Nxh}Pe%yp?% zWI--Vts-+>Y89Dmm$H+}NGFw%PJh)L2p11EgqeOgElSzx<C9?!{-7-Um8p)wC_6cC zje=8OJRw&xWR#tXg!Kd4t*;RU^5S_HWv7_q!{J+>w$}IS<TCY-3n!~noQqC))gYG? zC7o2JiEM(*b*WWku1l>VlS`x8&9ag?1xxLonnl!`2~D?Hj9miJU2zlKS;{Z7;PDD% zq?1}7>7+8!37P9stH@lJT1Do%)G9K03`i%H?GxLF%yp?%WUfoCB6D486`AW&tH@-# zq?5`>CzX*-WqxvKxaTtr_#a_s868E^h2c(ccUxS7EUq7xbWPC39hOA~_gxm(WpE1w z2nm*u4iG{hgaiqmsf#<o9R_!ITfVw=cc!U1b53&3{OISrRW)7pOm|Pu%uUb2Vy;N1 z&=VI~hmsH2obmX1De07Z@JBZ01F(VjkdaQ6^X0bGKKLv9eBVbf(rIkztd_iahO<XE zO1e&VY0D?8lih<(W*JXYCzEL|CEQD`;%>T^T194-K{Z@$P3G{xNGG+esgv2()X8L~ zPVS{vu|M}xtH|6-ts*n`*VM^mrcTIyF16}x`*W#PC;Pe7s+0X(YSqc8%&n=DIj*Ub z$w;TW|7w;Wk-L>rtIKkDS<VmIt(01QSisv-ZtM=F)avMnl$JSO@k*)H3RO~DIu(gg zO08C^nygOTO{YO688b_Yl1?fkoshYgT1DnwY89DT8kKZX8R@jyo3RxWeAw+-csWQq z9gEUgKtf5jWg0TlNo`9ysf=_&=3Z(QnR}^KWbUO_k(qNqI;o6wLgrp-6`6afRb=j^ zR*|`vT194#OFF5HbW$1V)bVi&R&CiVHaeI2nO(0}*;u~olUd*+^E12SV@tDK(f!!N zYsl#6RA5tMc5HTT_I)~@DCy`FFuWnFf3FNnD%{d_bZS*AS)IU5r`zI2zgdckbW)in zk0!|6%Y`9xFBgW)Eahdm+M3KE+3fLRmtK8l#mk$eR@aqlz*a2$!hS1ZmReQ&Bb`)6 zIw5l}7ltgst<)+q_i|y#%sC*PR7N@>b1xT$%)ML~GWT*}$lS|?Av4D%om56Tsf=`* z+9^|FomH7EPyQ(=l%SKHrF?l^>zv85xOM@-=ww%QzBlXkI-Mm?PGqE0o>^;H=i(38 zty@I}Bb~BcnZX+8`^3^TEbh{2sGh7&`#k7m7VR^2GMVO5!o8Rw?xuS&Lu6**Lc`V8 zWDXCESv2vdwzYa-rcP#mHdoHQm?8G(Ud#}gdoe>~=KdP4{!C`-gzV>HhR(J>7c+FS zpNknf+0Vrco$TjghAK04GM@|Sw5CHbHsF0`rI_K%^TpWJr<s*vhNCK%VGo96R*D(6 z|F<S<RXCGU%rHDxJ(jmtMx~hH(gw-uwBHLC&in{C&D+DeSyGgAQW@!l%)QhqGWSxe z$js8Hq?5`>r{bj!>$SH}VcCEBa_@$c2lem_Q`ynkrTm>IJGCw8q%zV8nR}^KWbUO_ zk-3*zMP|+c>7+8!37LDTRb=j^R*|`vT1DnwY89C|E*+gzMmnjCbgI{6wC|#H;Vf!F zLoru$bQ<+_r{C1lE7|=9=9hc(?dq@Z`LT>$O>2HZrFqZP>{f?qY<#;WqAeYrRy}#4 zFDgBUy+~>PY;#A`WOX{=rjyM!j+s@~NGFwP3<X5yUVRRkd-XYFX0<rO)z)MV$?E(V z&vJ?{^1@GF?p?WO5}UU&HB7V?5xZ%XM+vn*(n)2c6EgSebI9DQ&mnWKK8MVl1JX%l zq!Tjt>T}54tIr{GuRe#&z4{z7b6nC%Wu%kJNT&-wUbAhl*71^6%x`1ntb2pCT9wG( zH^gs-(#h_$*A^D{)xlTKGr!!sXTW*A&;E39ygh#Bi*)L-up*l?AvN?$(ZF@GbF@xY zr-N=fRbxMxSr?LYQkf=~ADMe?Ol0o0F_D?IEDcv%lQ|@tmh^*_Eq|Q%_RTMLiAi;; zhH91z!AE&Q6=bB7+8^npGSUf|du>c)?zJ(Ix!1--X3hcWq%zV8nR{(aWbU;wk-68# zMCM)_6PY<K>7+8!NoAzdw@Sq=Q>&h{`((mz!qU+xUGGAc^^1M@mbO@vfpjY9pWV_l zW(I#KYk|_W(=z`9?Dor-JmD^?NILC^yv=ftyULSlGM7$Tr(|_H<fhZX5!o$fl{L~y zWtv=mWbW1Hkhxc%LuOWsGhA&==8!Dokn9$p+-vlvMRJN=BAsG7Ww&H$zd`?)0~zV0 z_D4FYjC4ZgUVRRkd-XYF?$zgznR7rosf=_&=3adcnS1p)WbW1Hkhxc%LuQUkI;o6w zQW@!V_|7Lb_0l#rNyG2KlTNRSrLY8KU&;QgTuCs}>0$efmUpMSvzjN7kxq?XWVQTK zV?*MxLZ~9?#N)GD;->tfH)pk6Iu+@btWJmBbb46(88d4@l1?hq<nkkPuZ@Y!y*4H? zvzDddYHKowWT~G&WtD%M%Z6snA$Ey$s#5wX8)*+<f2Kx8I;s7UPAVgvkh#~!MCM)_ z6PbH$Ol0O9kWMNioshZL#zf{`8xxs(ZA@hDwK0*I<C0D)Bb`)6I`v@7S*yJ7S<FJz zgmg;tbt4;a@je^76u;n1I`uhulFj)0AY1na8R^t-s%H6POFcGA7FHykYG?k;j?W&= z9%QWP(y4LpWOX{?rjxdzA~TEjkxnYp<nkkPFJ_3$y_g{~vv8r|YHKowWOp`JU>$$E z%;INf7rRM1HLOyOWxjNoCCUGwO**OlkxnWjoshW~GeqWI%n+G-F+*hL9FR^bBb|`B z7c)fWUd#}gdoe>~?!^p|nd6d9DkGg#MmibePA8_R@|mR_XdazvKON(j^{>zDY9aIJ z)Mm?8z0|UI%<|mSsggE@z4`ML>lKVY(;%G|{MwCmYI2pWFKX7t>_0GBosPQcG}t#C zGfP&HPAb#n@*{IE7lzEeTo^L5yqDo>YchvqS0<)sUU?7mTZi$LMLOLK&&2w#KE$6N zKt?*L{gF;8Bb|`BmkUGYUM>uod$}-V<{XetDkGhcxt9w==3XugnR~e~WbWm{keTC> zPAVgvR7N^w4qnS16|(U$#qcK&IA59;*?uu=lr4~l=frnxbaa{;Z)Lw<kK}qWWOQ_b zE@6IoivbT9iC<bFoemvaq8FTE=fAMluA|d}p~>oW%uS~;Wezd3XdmgMGEFW&GWTMJ z$lQw=A~OpY8m_h`b4Ye3{197t)5dd8GCu-Nb@(u2Y!Xi#Wqt&#_D4FYjC4ZgUd#}g zdoe>~?!^p|nR7rosf=_&*3+$+Au{)3hREED86tBpW{AujmvmAY>7+8!DQVX?Hgdz{ z!~)k$ojUovXT#=Bu)p|W>Xfn89d@;8R-R@k=18X=S(mWRPnYrWxA8|>q*JYsST-_X zHlNYX{0KO1RI)l9chjl(r#Gy)Te&cmX>$3Ixt9w==3XugnOWY;aJ4m=L$a?Q->`-? zlJw#^%ZOcK7ES!!egB4iV;A*X>5y3^Q~M*GR7N@>b1xT$%)ML~GWT*}$jmt)om56T zA#*PmhRnTO7&7;AVaVLeg&{M?C7o18I;o6wD%<-k>tApqyV%jZ@AS(**IC&4rEKvC z^S;wG?FpMZs~0=-*u3vF<nc51bU64GIn_+eGwD<#=rxP4w@CjdtNH)zk|rdp(+M}7 z(0sFao_TaKnI@MXbMD0qk+~N$L}nHmG+b>>=8&vF`a`Vy3O_bh7HKA(itRec0&`ec zrd&Q^H%TY8KlA8h_D4El&b^o+GWTMJ$lQw=A~W}wbW)jlbaF3dh&lIShREED86tBp zW~h!~9-YkRVji7LMmkl>A^y|mPCKh~!C%Z(Iq}f63ZW4!Yxa0n{sR8Gmrizd&unE? zrw6h1`7uXFr&IM$uv}v__IfpLlTOClW31<uGHlwn-&`lVPg9cB>7<)ZcwRQEteMwN zCe!5dW6r($95VOnbI8nUafYj{$sCfUiAc-ZlniIqMfk-D(kW-&G_3HFaMm&q8R?|< zXI?v*{gF<XbFV&!%)R;?GWY6p$jtpEom6ICJGob%!<>8dIb`nD=a9KqpHs&mom56T zsf={${=S^=?GAR9dJ^8AB%KPyzVVwiB#}+7Vg9H*;&iyax7tp2-OKz@`N!(M?7_4Z zY|dEJj&vINTS;~^^&0jxpZTNmyt9+l>6DvJ$4cd~1h2F3>38uwN;;`blgp2+xla@R zp#UCSnTz#E-;NLIY5u4jb0a5o;fvSfE*h?!$sCe>`y-E~{P)g$uKe*i>9prY9t*3} zk>6a3ZAmA!KhjBMq!Thr;|{z;L-R-F$TsF{$qV_KKPpG|_;4fss5gERzf_)3k(qNq zI;o6wLRMyMMm}O#E76v_+WN-7vwwYzm$jE&tmWD1_KHJrPU%;`*tSTk>-OBckfjt4 zO;g7pom56Tsf={8G%IbX*8Qp;RoeVULAySsEH!r5)Ju)WqYfRN{EHQ{{83=K{ezA< z<eJtzR<i`IUCA3Q#{D3jsy5DOSs{M*vFw0(DPA)$S)ES1>2&)=2}|*}i}Z;Lnu)GS zCzWXop8~QipC{`tjxv#BE|$A{7rjpw{N;(w#SVqk)&n}?=Wd1v=8$Z~hZ2^+{1!b$ z8_Y4e3}@2%Sh@{ut(U5g%qkg<YxYMvsm$ieh4gEy7kG<ri0Mb=n0ruksGj?Y`J-}V z<G0Sx9og!O9O;D2oCCwvpUFrk%q84^svnEQrQxpJx~(Z$|5dnDq!Z@)##Ca>?Z`+c zWWP_(%*GVO%Vg3?9XGAuG|%R^q?4K>ou;14Wx1WSlYKgkAC%zBPt(p1&Tsi&^)R+j z9ATU~CHfSz{C%%E%X0%6>9p)&LCcO7bM3>&;pI8$w54Y;OTXW&dsELbKeMw2C#zGE z7Y=NG1l+#gDv0!s)t6OzDyD~YQkllEMJ65rb*uN+YxX}Qa!j)G*&<+bmN>tifm^Vx zWD~3g?ERQ3@p7%@f*Br|L$VA*4XAPXe~DjOV2+80ro9R_U`wCni65sTvr4A+M>?s@ zCUdLq8*tFKn_tFrF=Cr^YSupj!Y&rn7xdjH*aDfG@i+p8WSOQn3&5o(oz(p`WKLzI z(@-M{UN@`EcJ9Zy;xc!@77gt`w_uhM&%`$Av~=_)I9@%71$2EU80qw+>w0L>qak}y z;)P(OlR5_Jq%zV;Wu()=h2fB5-&dY-J3bfEDZJ%s$h~VfpE2NpV03hP`ZN;Wf6vOl zWVtOE>2z>(2=v)?f?ZmFOEA(Yzcmb6KC!XK1s_;kzhqgFtWIaVaN$gyj#)RutsCiB ztJ0rE*Z-aD6s9q3(dc?S6d3eCzkTke$T7(dw2Oz#O=9$Szv0x{Bs;z@4r)CZsSj(p zRxrZ@b4XU<VjTQZy1%}wFXotdXj)*Zc&N3bfnFp6nN>2iKhjBMHkr#+IUXh!3D*zx z+$pw6r^8F*Vbjnfde5<^1tXm{eT#>YDc|bH3gMKKPU;*OvOkrPPS^5mhdmM9S;m=P zM25@Ur6W6F*}n1Y_p)EbHt7`SlL&|XqFB~E-u_OV(x%x7tMX1|i?)3eInqfTgLG0E z>7+8!Y3<@oux+k46uyklg>+iGeG7!HPULkPy%&shY8{jSKL&lXFB$hzFw$vll}K1} z{w;H)crF;}bR1%!__GMs58k?TS{IS5PG`Mv;Y^)^E^dJ}KIPe>6;DLhq?5`thAock zTOiP$nH5fvByvo$ifcAQ$_q*QWWRW9E7`j5@i1X^pzd2@iC~5Y=8)`qj?FN7`z$@S z4(6D6h@EY+8L}k)sZSh*%qp4MAL*nro6L0@zZsT}vg`GmuNT{-Q=vDT;a$!TI-iM4 zPde@Fy#+3o&BN|>yCfLtr0%aF`%@X|RO){_A#Cpy*0c;BiLg&it5SS7#8z3zs^2n? zPRsrWP-N9^mZ9JWk)fm0sU^E%%IZM2_A4$S>7<T9I;o6wQW@#=J>ypBQuPbJ^AC<o zI@Mdh9WE5v%->$amkQ|=GGQmA%*pLrJ~{*=oi3D(gkfjBEyw%ep@DQ-J76Q+yRwCK zEPLOj(~+oTbvoyTlVIvpVC_2ax0PVsWA2KsNhg(Q3|mb1S_kokQn1o>kBS_VY=4I+ zn15-r{&@o~p-r+ztJlJp`yKTb2XXlf56mIin;mQ6>B}ZMyM{R?9-5Z##aj42@>jiC z_Jv~GDw*0J>7+87%#Hgs3VwSZuAe--T5OX}?>0n16YDko_*Fb&kxt*rtb^elGqMu_ zNrI71>i!zCKb4VAja$aTgpre2ko}&>aGCqJeH`puJ)f0nc3*5?mh1&2z}qpqSY#$V zv5`(|(ukw`o|)`Wb6jfDNgac9QW@!_GSX>im-TS=*h8N87(N%$sqL_haB$sf?$ruU zVx-f+pjdbx9cd5Rc11AK$x&xH3|jD!<+_J2DblHEvsEy+!g_XR#7&n@k2WT&(|Ipk zI8&z<f3An99=UyQt+*<>CY@BKF>En>X*A4Ao!Oqt1|r8K`*YhmI8=DGePqBIY%AHl zD^alI=u3OX3;}`}9+*S2h&xdb)9Qo0T2ag~@zAthAEO|#T?)RV6Edr0YJa4Y%4{;X zed0R!U)*+kT<Vo#n{>+K6Aj^IhS<}*+AJ99RP9tWWY2Ll@zt;+f{{+@{u;7Bm61+i zmExcQ?9~$*UK1HEbD7y@=->Z~{%tcd(n&kK1D?0*z!v<1OHDdGdb|bpUO%m$YK%)w zI;mrjPAVgvR7N^|s;~;irN{@{f^b~YY5v!>@b1Jb-mK0=!AK{^oDC3Db_8$D@#RB0 zmH!$J%|=DDA(u`GMmh~_uog;1S7U4YUvTM^b!)OZUGTz%Gj)m>ycW&`*m%cgn!i&g zm1zuH)JuwlY3*k5D^qZKm}K|MM1pUcMf}T*6N1?!>$_kL6g$3*+l{S)86KEJvSQQM zK&jp<_{;>%G4ar}qy5&vn_l7k$1`MB$<+QxCzaV`&gvZrseBgm(G?GgZPIDYxJbw` zY#x6&0beSl)4q?9u)o?2KBF35OOQ_L{u;7Bm61+0qobivk<vWr$-g4QWiG|-^)Pr; zdY)r0GScb6{a9#LtdYH(zqh|rrv|$=K*>SR?WO;~AAONd>KLSx%19@bkxm)Q&Vy}b zn}Jpd*Nt>4;2R97npA{kweUKQblUD^K!L??_}O%L;w7DYible&G%@;LMe(fy>0~b( z1w%isuy-u>)umIVUCHWn(F+&O)M?DMU|4k3%Kx4GNpwv|CzWXoTMVoi413{kK6tc4 z<d|ex$1aAcZKm?pGY()|$%ZEdLHPc;yg^KiV1@_gknFD`LGY={JW<UNb4)xmt;?1m z=yz-Z-}wreRWh|d(n)1DncLKSF;oeg&UaN#6x*az)S1PwX#WHrFzT#eq|=4Y!7%*S zA-rkHhk}t#>i!zCKb4VAL*^`lGznkq0dcrAT;`@fTMko3?yxug4H@aQV0<{l-aGGm zyB1z{<I7K+$nUOz(5?aY9YgWbnRHUeAe~f3I;o6w+HlndL3L}utSTQxf231i`%HLt zEkBHE`bIF)>6iTrVA-h)e8xPyW+R<;Yz>0exz_9a_A|jqr=6)oz^mZ|d%zg;QoIvS zR;No|xO1jXb-Xshv5%E`yUuukB%M^IF>G<{-wp8M`0xDXR$MM7*}O;VVa<|h+;<XQ zuh=Bp`6L=T-Ce?ajSUdY@W33B<+vXWmFFzujzG*Y@ennnE=0qWm@r=A2r{c=YJa4Y z%4{-sdhL1$IW?Pi>=q`rNhhD78=!LEVcaJzzEvQd5?BoM_|Ssau^bePbW-=%ko~EQ zbebHo8Cva*wnqiyTydFux@Iek?e)9;*iB@l)6G=7Vep@s^bvP%3Pw8psIwh9*A2Bt zwzwe}>7<T9I;o6wQW@#gyZSPiV)(=H3V8iPI{h!T0TV)sL-DU?1S6ehFJ1>;rOxwv z#tFelr!A$Tpy2+JEGX!hV5Cz>uMH4=Vx(_)=`*gQ)0jia>U7x)7tYjaN1t8rZ$8Eg z6vJ~c>7+7^VT<MccS1mkzC2{|evxC6o$j~;-t3&seOs-=wvt74-wro(g!1yg;pMd9 zfjK1G+G#t~ydK7f_rM$z4^2zca661|vx-+(iOedQ+8^npGMmhe%d-P2ZJy63R9q#t zNvA#6cfh&L6M4r=+XN$>EYUlm?y*03kBm5#q?5Y8hU`yeq|?cxc3A!Vn7z<VoGUJK zYZCxg8-eyNZLf=M(ka)8!>~1InBUeL=C#v5H4nhYk}>w0jqxoH>7<T9I;o6wQW@!_ zO;`=xvbTkgS8!a?DMiT*Q1NMHcsmXiBb^F;-3lu*J>u*XDn>fZKC~5T*RI4W-88SA z3V+)HW!4t+T^ws(J1sqttWH<FaN&N^spw{~Rw~ag=1uMI(n(<&!xp~>$3xC<wRycu zZ^hGMl3BdsVN~yCy!#w{`Zmc1jf{howL9}v-Ry!H9+*S2O@GBfji|1?(@4xQ@zAuw z);Nf()0gksgv=_L+8^npGMmf=-iU+S<y!G}MR3|kr+vT0!==*o`QWwqu8VX!wj&;1 zRs0{1Uydi8|8!FJ*O2|~P#Ebnz0EeL(vjQqIa2vMbt?Q%0@P?S&z|)TGSaC_gI#bd zD#|x#U^>C*=ya#qc4*E!*t6zEZT{0q8RI{l6!xD^3L~A~bzA}466?YGg}82{Q{Vin zVPd%wu;O6~!APgBsW!rwf6ww~#qpYrbQ;q>7IuxQ%UZ4bA@-GyPX8G3aJ%<3KmWEV zTpt1Rv&rgo)e9HS)M-riFo>U4Oy7MPuP^?)c2bzeu*HWOp-|~V@jZ?I!8hGZvi2=j zK)Bx2-m`Tmww3IULCc}@ww?Aa>!u23cwi36+KpZg=MwDpJ$o=mI@Mpi9J0VE`@xsU zNGG*F(n)2c(}SEVAcfx;yB`l0ZAqu=d<FFXd@eCX65hxlo!$%yg`QEr`YoHp1tXo* zIWPp*G?kG~lk2R8ALY}sE1AxT47S&_9z!Fc>D*H6c{^mJQ}(}Opwo-VY*te|ijhur z#R+E0@l>oz20ST}PU;w>lgdaZm61+MVwOS2xhdfOYg{+d$-hk))Eae^$L>8T80pkX zT#7$xP@OlOcSJDK$-ZVGG#?np&QCuq80l29*-{vLtvMTb{iN$;=eV4#PS?C}5=@;Q zwU2=KnoaeaQ?P5&No5+t7OVOjF!6FH-+uXHMUF{UesDNctk=oj<N+>~O|sdeRzlpE z6ZUqqaOn*X%pqB$sVm|8s<ZY|n=!}4L(___S_vI;+_As-<!`ZVl}zmqvzn$dn`AG` zhlAIH>2}_Jj@TxhtdGLMI{i#yaNlsj@HvVj;2HyZdrkH8FN!BX(n;N4L*`UQI<@^0 z1$VyZU^zeITydE@|NDBFd!Z`3+YXnDbh>aO9^&F=u_J*=f{{)un#aKTeQ8;lOveQy zozyW%CzX*-DkGi7?O6%!s-=b@-|)GRPODq4f?MZL@F839LnYG5zJCpj++K}m=&@HY z(#gMgFchD>gRRcCM=;VU?AK5@GV2ePYurAUPTH+xb-M0_lWOX;_=^GdwKME}p5vt{ z>7+7^VT(F%!Xe+12lo3DH;NpSY~96`aAI#czHkU$>)0eaav}^e{?Uc|%or}1;ek0M zE1VPt2M2fOw>DvpiHCUicqt4P=I_Uw<Q*Zlt&*wzkxnYJ$=u*YD`E4DTKr3)xni4i z`n^Xu)O??nhjlY`DpB2lX#-E#vopLIK{~1XYsmgoMmi0c5CwC-zV?evi8mv-%zZu` z4bxtY(YXZ~=~S&^JoNN0z^)X-YZKC`Sf?2HZBn4$wWD~=MmniukWMNiom56T9Za<Z zCblmO*M7xuNvABAR>0cV8U%acy+P9H&}joIHw)s{v%3W&omSpi0{1RYVA1n-2}U|i znHmPg)*jarUUHXCrSB)J(+w|NI8&!bVJqRrxApe<WAMuVzoV1FG=?qOgoVK`cf7b? zMO+3ZS&KQLFelaj_#6u^i%qh@vsb{sZ+r5hF}Tcz2j-Bh!`u~6|4Sbp&oRfuL({Sa zu7EB9LwLz|$gGm7{gF;8!>p#YY#a*J&inIbpHXeniDwOik(~?jbj8;SMn|XCH^X3V z;8Xjxhd7m_lR5{6>`!H+)04An;IHqM{oeP*x#BYSI71YKwJ)o;4n{^g)yWqN?|jm- zPYurtMmlAl6b;LRY`!I$<F(y?M<->T|2sM<?7yRv!bqogeS@Id+#;}i5{^qcb?Unm zDqr%3N`3H%MLNwt90qTvEaQWl;Sq~;`n72YWZ2M;rKyD4kxu2s+(#Iz^*u8WyL4*& zG+CW)dg0`oI)$$b7Trv=N2UBKx+a}erZH@B>eFKQ@*&**edQgIW0K{tEQa`8N9|1* zzCvu0HCz+~mj*qtXUl*mMZ*JgNVYp92((hK?6V8Wlc&gvi8q3v$>e|S%~~QOoz(tF zCzX*-i*qi9@<q<t>zuQTwxm<*6^j8@Y_qrOh097h<?{)Kzg~yfC--?Q80n<$FX^N* z(y8X>WzhOUYQ4j2yo@KEx`~&?%`sE;iv@B1NGDr}0bPa_VYZ%l`Aa%gGD3mB+^F}8 z`XO?plR5_Jq%zV;Wu()yv9saC^K6j26+Rczsma{=kUh&Y9@6){V5F11;$kQsID=;k zdnFj@)M?Uu=#hCSn_m?f>6Eu@5F{Mq`q|bWTsjSXovco`yl~-u(rM8)h*{Ifp5`gO zGx<*^g=q|1bpNpx^1k`U?x^@yJOw7%qdr?<+_Y8pr?cceE6E0**#g}LCE7b@!~0W) z2j-CM?+aUCTEBz#+-2l_ERhvQn44Q5?!iU-+}_AYC$&G)NoAx{2euWKlvr=yl|D(d z{qN`$zZGu2T4+CU3g56VkYoH)VjB$J`j`DtYFvi@bW-;BKb;gtI%R0H6AFGj={I6< zYJaCr-`4GdbCxE0WDGLWsm<L)cvR`5KKEsM!APfeLAznrhv|B;jQDQvKb@2@{?kce z|LLSK(y4K)NEqo~7W(bOaY?6PCpN&HQ|aJw7VMvN(!@vi|GrwvN7Xjp*?Dc>2sb*1 zv2%w|ZPKaM+s&}<@5~J9n(youd`wm+hZioKsneSlQQ%jirGD^<sgueyhAq}4tOa}i zJo=N&rcSH#t%ZX(48I$`rcN0qMZ)qbdwoYl;-#M<+p5eVS<1PQ&?ljsum5h$G4ar} z2T_qwrtOBk&t4-Voz%9Zlgdb^LvJFX$?M5}p$Yh96w>KPzqK&>$z8v_A*N1WuCIj= zGfV2zUwjrh(n;N4(n)2c)72Rp;CRmztP(eMx|ebz%<Ni_Eh&&jEFtN%e^We6?>~U8 z+L}Qy(&<UsSQs+30(&&y)JYwKbW$1Vq%zW}bc2=9et#NBDb*&O_WZjFMx8#*ubek; z6r@=c1yAnQ<U=c%It|+r3jR0jZ2S;SJU`N@uDHoi>~Jr(=^s<4xbMm8blVFT&eZ8l z+)CIOSAtF2jZ;BKCzWXoTU7oW2D6)g)Ab(mXd>B^T47-S5UTrq2*<XP`3?_-DYx?I zHS5d}%<#Y*l4Y443U{_-(9gES91{;si%krL>w~WPO_++zDw*0J>7+87%(Y4z2IqRt z)Po8v6WgRy($X-<)Zw_!vTYKKj!xrCu7m>z(z3c6%)8?1{u;7Bm61;Clh(k8p_5se z0arwZ%Uo*jD0qBt0n2h88R>N7!$$DxlE{iw!3zV@slB!i>c5!68bn?djE+v~7^IWR zNGFw%P8a5{f-=L;^K6xHT++#rG7_%M3F3J#ofC|XPMO62)f`r5l09i0zAd1Woqyp4 zuwwlScDN1RP#~RdR9Om}`bM&X3FllVyUQuoCHG$s?s(zCnL1Ti9|6x_*JB~C@hOl_ zDkGidzcS$2#$VXYwmU_RG3@0`1p~I~r}emq<=9rTz~14|H)yDSDGry}@W33BU78Rs z{+U;A{ro}9G4ar}6+6OVTD}JQ=r72ulBxZXPAbE!rXBhg4wv%p&<pPj65FIx<3Iz- zP0(1so6&-iPPGd~z`vPFvU!`hU`u6Nb$<;HjC4AfZXE=4T*zu%#%nQbuW1=tuZN@? z27BA#g4iaVp3RDf8xu~kOmA-pMmp8}Z3Fbmvye?aggMel9hY=c8R?`l(y8pAD1h-N zd8ZhBE~L|>&}c}rYYuOx;}M#4%1|pBKIAQI?|TrxSVTJIO}z-R7tt)42ObfObgH?0 zIZUgSz$#oj<<jX>x@2{_>xGkG>NK<Qa%eJqzuvloc`2?kjbV$+_GNIq)(YKw!fo*s zm}KdzErXZQE%o^$_6uf{ta8Lscz^$u-+;TggoX#^kZe=@Qiv#j#c%RQ%rWs0w@R-p zg?EWze)r4ZZAYtQYJa4Y%4{-sBg-=Q)VrpBDH`vkkWN>}E`z@7Y&!HYKLY;q_A+SJ zb*)}H3YVF5Quo)8{i%#}I)8m7+<R1u%~*nS#bs{%Gy~dx?ZEn9F)zgzpNxdnqeIw? zi{_<xnimFWcRI5+{l1HKq?0-Z>7+8!NoAx{T-Bwpxb%I#wGoa>I?dR)0)9`wjxWvo zK`_$k_RBCBxcrIz%==e@kxo8m=fjx8$C)E9GSX@Ms9^Yg&lEOzpm`}?Bx|xd-SfhQ zGj(dyeLYNQ?9cK>nmVaWW7y)F_-J>9Z+W)mfkQk6CfW0m(O{g;#%^B0H=H)fvcDEz zPwV?m|2`y2FvA0LNR~NWH1xahT>sxR%rWuMwD0wzA;0y8{(Uzxt7K|_q?5{QGN*Nj zhM+ka*v|92#5U<vF<y*OtT0R41mB!5khuq`*F)JtRaxnlrcUbq8ZxIc(rH@mP4L(+ zfCXIrCNf;+1|NxoVf~h~_J5%!bacv4HUSzHIKbu=#%mZHM+med4hCDo*_a2WPU;w> zlgdaZm61+sipIdlX4m<NTlic^r#!7U!LVLSczD;3f{{)?{)vO@`McR0CcGAmbUO4w ze45cArRDJf{E`moR4>gMI8}QWv-L1_V!4ym>An~4oT*bY@#<>qHIDhdz^6bbJC$h+ zTinlSz>HzN*ol+ZMUF|<er-6E@@mMMwcLwsC5tK^4%d2?V`pZr63p<x9FkRI;gGXw z8MZqVb4)xmEow$MG@MhE)jfmEN=)gGbW+E#$y~FU;b5z+vv!pe#5U=~Z-zs!KiaYQ z4|s2ebn02rfVF%8%hnn%&*|u-?yo`pDf2=)851MnTdHVQ{n00p;WD?oQ50meZD%R_ ze-_)M(}d44P_oJ$#=dI)PM!Mah=LItcd&WKu`L~))Nx5Cm61*=Bb~C1j)KaeaU4Rh zKhi1ltZ0}!>kl4U`mJE3)15=>;928&eg)&rFR0Agxd5!unJjmDKNC69>2c>}(5U(u z7I5i}>ttswkgQG*yl~-6ol>O;hObrgvt3znI!Gs#X$)J`ow69lXHU&~9=R!UOtLFK zg5b`{3wlZmPOVKc{&x^`DiWpNZMar2!vk|jc5g-y*!x824Lf6wiHD|L-4z6b(+BC# z=OD96ruIiVsmvyGmK#B^vfoiXLub6UBb~a5`(md`ztYDJ#cK)DX>P<~==v%Ho0;u_ zU`u6Nb$<;HY=>k=k1m7X2aI6Rjc~5GWD!$WK-iO6%sSoF>Gw1d;4@?^8xv{j6uf%{ z6xu$E1?RvU6r__nF6pE)(n)2cQ?&_8;Lt<hueqtyz0AwuGn>v?u&L9l4a*_*i01Z6 z(_V;i>F5-eWfr`%++{QWMa4*`LmdO5*#1zqx%NAkPP2+7tJ6a-TsTvw&tsQBz1hLO z+x`C)U6W2K(-^ksc_IXcyr_{_bqjtv&m=3DHv}3T`I^|K7+&VtBx^A+Slm7LvtQpA zCz#=ZIV4LO9t;&HHnGpUh&d)6;%3C0U^o!i&;B4yyx6u%ruIiVsmvyGxt|5Yj%iu! zpQHDQZPKaW-ytyV_@=}yUGN(Zq*LxsA#l0P?Y%+M@RdnAsrzfl{!~UfE&H+p3im#! z&-;XP#bvJHvM^u^z1Whzcn{~YWZM!~!Q+u#*w6>&$!_4bmGJc6Tx??|Z-1vw>KLSx z%19@bkxm^V=0o$QDaE}&JbBX5DNA~BYxvnI9;l((baYxfXbJo^x;d}r^G-0*X^r1} zxHDimo4ggZBb{E{7hhc*>BII#e|G7#u5_|GJ@UeZGj*DD$`0*jwY9&ziI>=<lgc!P zEe?E6giI;p>@BjOI!v+;xf5adHgDc)cnr3cOw;#5_e(y!Xtl+H86KEJvMlxXLjUPy zc=6_#W8$G{ubb|LzxGt&2j?QQN~ZQlI;qSibB<f$yQ1YX@)tiM#Wv~GYDOXeyKbKu zgV$4})3l0qD1I>1p7%K(u}CL%e+}86%1EbvB@aT*a#{2jzIR22%baiK!?1JaWPRu( zWTexgY$u`anp~`07JT(TlDXZ9N1*HO0eaVSxJ^eVbqvx;Wu%kJNT>HR;~-PZ+HkZA zp0r7)h_u_mCq6fXhT$26bh^<#5!%K_^J44pxsguo7bn2^bP+5}z8fW-{`q?kTq~TN z)oF0urPGlL$?Ejj3m4AR=|@mB#Ox6Dva92(m2^^>#;}EV>S(yMt{j{BH(u5<$@Yv` z2Te|;Vb<ZBv8`nLE<{1><RrarNn9$!19M2$?L`!%`g&AvQx|hgJj5?xe_aQKjGg-4 z;mE9#sr`{oDznL4+7|1e)5U-F10yzwZPID~-gQuIPd-u33*Rb`PIF2}!?hjN*rO{r zy*Q4hsrzeqU^^t6{zlx29J7$69D<r~$-HjGLH1t^)-xrZOt4Q;XX#S{94mI5)wzT3 zut=wF<>FyY?=a@`C+0{ebzIU(Wu%kJNT-SKVxa8Z%Y5Zu_*_V*HYYd1O9<i%o;(zc zbZXTr4&EQq?O!Z+1S6f|hb;#_DwSn_H-})PQ@x9;V4nY8R_TNJv&~o4lGW*n7w)jB zQ}r`TU}Mv??C1pCZPH0)8p9StD=vX1XU^;Wt#~_(NtSa~2>j1yj-J{l4%<q0;7Ty~ z`sdQ){s|Gx@W33B^?n`<2Un!i2Q0!I6Aw+BQ!oVdi<kZG?nh>oOzn?!QkhNW-ggOs z-$oA8SGK_$52VwOYvRP#J66wA&Mp|~RKMdA=-=YLZmhujKcthozlQ8jWu#LMU3}`^ zrZ*dU80U)1T$-xk@K5u}Y;@+wVw-gOIxrGiec#ABe0n7qX2tiSo`;JQ<#2X0^AoX6 zI;mrjPAVgvR7N_@Kd}tfTh8#YR_vd2Ixr>_#%&McbIRh8l5`qTKMej#z0A(j;t`8< zy1Qcze2KcoTC~3*80nNb&m!n+UCeT>xa&GPWv!E}PEWmX=S-bObeahz>ISfpqtIT` zNo5+t7N3sJfHvvIuq90oiyV_|XRR49H(g8i<vhNzw@LOmWI6==RhCsPH%~Cb19M2` zn=l=AT`bLZ`(loXho+rPF$1c$E5`N>KxUOp?T>U)nN8+KWS;^1!yB;AdknEnI?b9g z1NLU^#paIOE*R-l<Jk;2I>p9flJI3gI;s1M?KMqhq*LkN=7GU?vpUmpuDHyF4i1DA z1CO)x3CKvN^?o5xbn9pKS0_}5bgCK~2=k-&vI0f%qJnf%#~__lMmnjCbjngU7~0r+ z^PUs2Khmko1abZ7ecc|}1>b#>PW@gjgm;07x@|mOKax(Ze;oo_Z>O_lzlw}>TAX4M zj4gVe9ldtLrBh8yvN}EU!pSmqsvQ^z|8s=1*GYH|CY@BKF>G-)V<6P`TEN;gFt44e z&Y2I{0!B0cu6RTsonE|}2iN`Eu@7zL3r0GrjC5+8Lwu@jYt4fDV2+80cm?;L4`qX! zu<nbIStV23l1?hK$=rrM^TA&GPxg1&RbrcTiaaqNdTyA`T2#k(d!*B~vVqWg;9|D; zUXoy>le)i#>`!H+Q)Y3i?@H_`=G6}0j&PaF5xfM#bKhk7VvvzeX*#TgjE7TMnjORw z5$O~ta)EcxvKkxl$U!=(V~|cNBb`)6Iu$flLd%W4`0KIewNsOuD<Mz7ar?W<x5OBv zQ-%yHpx2@&`ogSN1tXnuHyjV|(&Vw!yK_Y_(rH)Gnecw*Q&v8`!=+QFM#<{*+zS`Z z)M-oiCGfqZjpg`;Pl0q&8R@kBa0qneU0KYN10u&5_F^d)0(qKN5&x47FMn;4#oB^l z|HX`KKwkVBo8f^uB)bz94D(*3W0}igj){k+rGF3%^&-7lkFLn9lBxZXPAap>+#>G~ z=-jn58$EBO*e0F+92Wu~{%ORHmD(m4=`{0M2;^_wk8SUFLNL-v-CslYr!vy1ewQ$~ z`ze-1L^wo-%Us4O;jsFTMAjk=9wkU8)?WMsa`RJmvIU+1Nv8+mo1qh}n_2E!*p_rs z#~__lMmnjCblSc$0)oed@l?66KRP-Uys`@Rw5!eQb5w_PN^?|v5ca09UVZ|e+)1aj z$7aCakls@E#CgF;r{G<I&~({pwlv2zmri4vC#%y7FI+fNrz-0LVU@KX3#g9gQPN3e z8p9SXQU}7`tMyn{S&f8AcBcD$SUo%sd)H?*wv{YX%sluUa7V9RYPMj82j-Bh`{8*I zmi~r*t`_E)c!)di>E}bvx~KI8{gGKEQ~M*GRA!U8i&f`Ck+zvw^ng&YO*&QDG9ME1 zm1ln)$F~Zk)86ud5VyWL8++!cV5F0}zlQ8jWu%j3r}$EA?bWR1Xq+o9bNL@GfzCHK zvpTzxkxp~Ow^SFTyv-s)@rXq_-M1};fGTTP<6@X2ozyW%CzX*-DkGgPFI@(H`<L<( zd+@|YI^B<74(WgUAJ=B%NsM%=zj7(0^ZMwwdm?_&L^_p>oCK3wd08S`BO{%1_m~AG z=h<1v$jdIBjJC<@^wJ9#&eUn{l`vSgxg`r3i0=kSCzWXoTTBy|bc+sDV)r-UtC~r6 za6>4JIwUH$C2qvFlATT!3L~SF^bM1P1T#D^hh&)whr*zx$Mnh}m}BChX|=kBLdV{_ z_4uR6tdgnykxnYJ$z1)Zp|Iqh#!?=@TcD)VfKQ=NdtU)oywG03NT(D1!{9-?TI_f( zd}WeO>i!zCKb4VAe+^v?o0bN%G38JZE^{CMjs%;rhV5N}jC9&}W&_lIoWw$Yyb_Fb z>U$#+HjWKrU)SR{>7<T9I;o6wQW@#=Dr7a}y`RW0Ud44Ior*yuyskQ)H=c;sair6u zPLXhG%ksoog-~PCssD!gFgD4{Qq~()B%PY3SOUSTcd_Pu?znW~zbC8HD=%C)Q>SMU zArN11F55Z$jp&+mQkllE#l;FCaH`ov7G4(3XOhM235KEHyRaTpwqsk#zE=|`yF-k< z3B{v?;ek0Md)77>tPWo`I}US9JT$Gp5e)i@8f?#PWLC-4{zxa4*<@~FXfULi)1F=Z zBTj73lI-<|U|4WqFiY=;Zy!jfB27YIW05H=bSJ*kA)VCyHDp_rkxnJ<tpMNJJ6P_5 zc>9mb+@&L7Ff8X`)?_j=(y76j)iCwN8+K?nehx}HbqEcE*N6ABemc%G>7<T9I;o6w zQW@#AtwaQzxw?QqnTY+7P8YhYf?ZvU^2lHDnvHbYRNH_t7Mng)-aH_k(iEKmf&a^D z`L{l*NIG3kCC)w*uCkT^&s{n_>Yl7luf1^LOr5d~n+N|S__5vZaXLsRm1zuH?0gvj zef&$YX~XdHjY*boZ~(lkm5w!CkGBbJl7(HJ3#I1W)H_YWWidQ3hh%YY=ECQKSM(hV zF~`J1(=t{FfDV(6>zD1wtdgnykxnYJ$=tcdqV4bAY~QvmVw-g878?L}&*x!>KjDdu zbgGwS9`rs?p3OS$5R7zE_ZP<&-&<Gag>>p>TLhVJ2e6c1aIUz_Wofq<-ac5tT9<q$ zwn?WNWtYR1E=SnY1XHIoGZ(|>(@WS)4RfTEItJ;aGSW$9q*IqALC|CKYJQ|DJ{Qs{ zr})AA;K`!6Mcx;Jkxs*d7eoGX`Sw02|5z~6saoDi(DCVW_E#xnq|<;JGocG#&#w5t zbm^3~Z?ZbQ@xsY6b!zo;J5*}%!Y_aABcf~4No5+t7Tf<#fa@!Q62D)L6*(r^{_oo$ zG-;W=+m?mcR<fe0w!zSDU+wFChY4nQU=GQiWZ4Fns(JD8Lomn0L({gF*#^5(r{|XY z$gGm7{gF;8v&r1*#BGr2-4^@sl6V<UI^~~`07o18+v}7y1S6d)iywC%`y*;^%IkP} zPCBXki&;%m8R;})Vj}nt_@tknhkA0E3pvZ7eaif7Y>i`Ln{--U{s=7obtKE${hVNQ zbh><c9~8UxTK|0Vq+q0zItJ;aGSW$9q|<17930qK6nfXfaY-lZ%5BhR$TuFd2H!4` zP8+|9Up;Rf$(tNV6pVC=JGudqW&>OKVYgtUQ{U&C!S48j_1b6tFsk(6WOaJ$g_C9K zlz-56m^S;NJxv)rA&^cg(-^kc+BpF-)GEPqe>Qb0UVR&!E8LCGs2zlDWv+zJR;Ye^ z2KS2|Eg0#fGSaDIiLC$;v-s1?m}BB0%0d*~3UgD=<JDV@5!+VD)V8FP%4{;1{^eH4 z|8^j6_HTgLCY@{twn6V-{rO$*2*F6F=iv!3+A9x#y3W)|-CslYr!vyXa&Rx)_FtE{ zB{jbExXkrW%fT_Dke@ai8R_)8>|ywn>ZqQ}f}bFePB97lgzkqDJ9R!K80n;rK{~07 zbW$1VRKHLZl$pVx!*v{&bQ(8vBV;{Q2x|PbUog_inqnLL^MLbbyYTvvbjn?H6O6n+ zoUQ+gXBE=PXXaMuxI9>IZwJ@WsnxJ#b$aK83uo%Iy4ogioX^B_9LLYFNGFw%PWdXt z0&7%@Tdv}D5@XoQ>>L~6Wx*l5eh0kPu}RiBOAItTF_*{Wo-UZ-fjJ~wkTC}4jhV;) zE{{1T9-7uSWem(*w~+Vii_9vS+8^npGMmi(krV@k7meX{eejO@EXf9jZG?Qq+VS)$ z*Nbh^>Hg4IsPT7sUT++}T9?Y4y1#}8Mmp^mN6(;ix_xS$B$44Vx2VZ>h>4w<*m4On z(y4mtL>TgTk^cGuZj(-q+dJV^zgqUYffofMoz!tjCzX*-DkGi3FN8s<UcT_>H5`|8 z8d!e~*vA)yQ;UxaMml9r5d%eX9OQ+H91@Il`jLMfq^a4QO@D^kkxqX;je+ImO6vFK z9&_n5bWE~3z4yX}Gj&QE5eGM>9rfMc@|x(HbW)kdu!WEKJZM|nZ;54!?h`pCS%qh@ z@T}1a`;WYl*jBQV*<+#b*N65y)A1-_cwi36isX-lD*T20W+>*Ecxc+6m13da)*tqv z7m-;dQ~Mk0f!QRxzcm($U*BY(Ki|CXbf@zsDBioP{qGrDL}r1^b@z^gSM8${@8!i4 z7U`t!uOV|PBb{<|Nq~(n_UpU+u8RzpxrY6BK%sX(^nUx0kxm=#B*Lg1o!F_r?+Zpc zWk|gX-q*dR8-F?kBc0SSNGFw%PAVgvGH;85z`qK?x&$1Tbega~1|kN2=Ghxv5{z`Z z6&VkI&z-;*uEHZF=@j=i5<YE>V}o1aA%t|Y^@xEQgZx<A?`Fx11^*<g(+4kHI8&!~ z=eEPqyUp32H+budbW)kdu*H#5+rgf$6ib;Gr;$lkWn=<8tomH<To6wtHp$j*-v+*? zmg`#{%@EA+z#NkOm9z~y?+MaZYcsJw@en_Z%9H?kQ%%t~)<tHOOzn?!QkhNW<~2-! zJN}pSF2$FNZ8|y)J(U2>D`aM;C&mdzI^Af!9sWFAnLV9~CwJ0G-CslYr!vxM?8CjV zxAS5)@QA6?>1-TgE39Vwmf{<6(&^@dL*j<QDK?_~L%~R=&j&d~9$wCN_QZFTq?0-Z z>7+8!NoAx{qvg9Ga?N{wQr<5lopPPq3v2Ul;04E+IyFC$2=9{?+4B!JbxOG=3hI=} zXz92VPrRg)wlogD#U5l=2AewVn3k+gAH8tlOr4JH*$e@*3bLr~cSYBvlgc!PEsEsc z48K14pf7lSMC6!cJNm~1KNq2I=#D27n`FOkiGvUQs_Ku&<MJ6Em_xFX;!Cl0qkZ(s zL6{?*W`2zm^%7F(K_`)sPHKNc1=lo{kxn=3h#zt<ov&A)uv%nDrz-Y%82syT{c3>u zAxkNJGlbnr$x8Vpi5%&q?l0-2GSX>PuN{!H`)GFf5`M73<#XxNe-~8jIfo6JiAN&R zsogOSKPGQuQ@6bkjC7h?csHD@FrB5p_dqbxNgac9QW@!_GSX?^(#>$V!w-JF9F9vm z?W>glpRR7_l@^#EvYaWt0~-Ev%|7F&+L+D#*T78sH`cZmYDYR%84v>nhizcvKA4}` zU7nMyPM^GRK}?<ej$h)HYie+8{WxEzPAbzFwm5t6GT)kE0qDM{4U^2P;W@sk`YxE- zv7vZc$Tbby4nMjBF728knBjprJTNA*?rp6e80n;rVUxK<N3U>W=N@QqwSm|sot9;| z&P$7Wk);nE6Jw&Hnr0t;jTgQ*6do3J=uVx~{WV<Un)5<BsX4CZ*5Uk-PHK*Haxs}B zom@=LJ?W$}(n)2clZ(mzNGBJQ{n5!zWpuJr8R_&hbJi8t7AC9HXD^&oQ>PJwH}ZAu zTJXdH=Uh6eOk>z$>gG+n($V&iVNn&a%_IwZzkz#iF`#Z}MlrQE$*^t6ku7j_Y%ReI z56t0#F}XBqTdM~~I;lCE%x$|A%m19R2A<4MFSbdiQ4ivHrkzvaXp=xOCh1fvJdU5< zQUa2Wu5#(5?yun**PIv9NzHLJ*B|GPbW(GqlZ(k5>EvQ^?nx(=kxnWjom@=zM>@Hf z?2mL(8R?`l(&=aB)TzjlWOe%DrHMaNr?uzm!9TUyDmtl5lgq#Pd41^6wj(5ct1Gsd zWLMMH1FdWX%xaZYOs!2aY#VcJ3+#%kEtuhfIXo~Xmqu-C^}t9cHD{B#53}k+pDt@4 z`f3KTO*%!-YXH;MPlXXJgT$DmQ?Ee{;M`Cjxb`L1rIWh9hHG4NUPvc3$JN|VI;lC* z$;E!s$;E!sNoAyy%19>{`$;Dk`$;F2kxnWjoqlFcomg11I(_xh#Gk2C*%{INRjxWb zMN)q;y>#uQGEFXj(H<K(BsGT#t-FhDCfU_XQT&Ggaws%3o0wXgWY~6J?u~GuK@GtS z56t0#F}XBqTdM~~I;lCE%$18?&#Qh91INS6Vw-eYHaUhr`8pAfR9Y>@B%P*qj^T$F z7J^@byaik88pE6e!viCo)Oq1b?(S)vzsm}vIVGK(Z7D}bCnuvE9i3E0I;o6wax&_V zj!sTS{n61$Wu%kJNT;8fQ>Xr`lhx^)mnQy9oeF={0jDywhVIfyWty0FQOxiugNO?) z;8Xo>Vw*{}w5Sfexv2U!D!Z6Qn`GEFdyiOH_pZ8Nh6m>Gz?fVHwXM|yBc0ToP3Gp$ zW8gP#B@7D9B(_PXr{gWq{OCm3Fd#yVNjlB%XMu^`3&GJpzq*c2>i!z8am{%lozxsx zauekIkxpukbaFDvkxouVb5A;{jC4{N>EvY8AL-;|)F0`jGSW$9q|?vLsne|JWOe%P zrHMaNr?UymdGSSOS-Sbx{G3N8m1%PMTaFFq2kQ;z_8d9HGBC*&cM0d-g*$+6)G1U^ zGHiQkbrb|NeJhyZfjK-dCYMHSYxTfLCpBl2xpudg^E(TB!ilgjF)r!!VPq)Z{^t`u zyu)C@NT<Z}q5O5l6!sB4GYhuVHHJ9{h6hGEIp^g!IagfC9i4~sM>;ukG^eDKlTnUz zax%)1PAVgvR7N^E8TCgxIT`gwI;o6wQW@#=Gjr;+Zd0;4{p+QPKU1e(H}3PHekm;7 zEzMk);wsbR@~`;qDKEDs7hiOtSfW#>$J?KBU*k7;9M&3DlsRl$CtEaZFECCp(n)2c zlggM}8kJc+Fw#lQ*<^0V+xz@>cn2s_V1{^pq|=0X4|(gwiM)58XM3DF_5JdYPcJrG zFVLcp*k95K`!najaE)s+(#e&phjYc%oQ{lia^>Wll1?rrbEK1t$sFmVGSW$9q?3!u z{zxYmll_rSDkGg#Mmqh>oH`|KOID{JUaC$X?v{kKgHu{g?Dt0{#4A?R3Q!p7G<JR& z*gY}}|1|AfU8hb5kCuVrwHiU=YHM9OVcVs*qrf=ITso<YbW$0UOQSNY2Sz%nIh)KS zJuC?=BicgB|Mhg~)GM|WtQ@nGumA0(SZX>t9e7j<^3)8`pJe=9JU`M2`!najaE)s+ z(#e@?b^zy!E4gNJ{zxZhj^>nfax%)1PEJNS(n)2clgdaZC!_vICnux+NGFw%PAVgv zer8UcUhPg+C(T>c>Czv2c)jSod)nITh$$kSR7N@(BgBs(z88m>IVqS^r@!y-;W;}8 zLfd+$1ha{UreWLrsl`7bJDFNcx8Z>~JTNAgMr~{Lz(^-GXOp>7*1i0$_~~KIOov7P zvm`6f*v`A~j<C5)Tfs=DsWt5UUX8oFcEl9d$xhv0!!@osFQk*2<4W#aBF-P_q~=H` zC!-wc<YYAWq?5`>CzX*-PDcHaPEJPskxnWjom56T{mh&?<=vO8PF~)c_%ly-w|#tJ zU&Slz>SLRD1(QxH)5KDU!ZVRNw0=K?7tI(Urj1EfVW|#3#&rU=YqMAyn`GGbL&x<H z(B_<Ah6m>Gz?fVbwXM|yBc0ToP3CUY_l3&ud%=zyUBtMg)3V%t(4_AJ-eS@(f{{*x z>iNOtViAdc`KF8gSn3+XoCCuHBb{9H@&xCKtGP$WNGDfL&ME2SVlqcMxtPq6PAVgv zR7N_vnCy>qaxvK->7+8!NoAzd&&;V)%_GU`<n67AKU1fn8|uN+D0^bSDf48fGEFXj z0iOo&en%Nt<)2+_Gsyyv)r03X7sBIo*TuF?GHg4eRUCBbjkh)p56t0#F}XBqTdM~~ zI;lCE%(2S#A+&HXj0s8-{gY0gi#LFtJO6;p4SNbkI(7Y}0chi%^EE3M3B^b!b$<=l zxaPc&PHK)Txr}oDNGCN%Iyo8TNGB(wxhI`eMmnjCbaFE4k92Y}>W_3%8R?`l(&=aB z)Tz^{WOYj6t%*NVC!al+c%MmMd9A+3#q`qANoAT?3QenV>JrbEFc+3rj}_ZYvZAxk z@^)3@pl@(HF|{_yux<ItF;M?s^FtPuIXvW;TpBfJ^}t9cHD{B#kG@y<iN7|(mxgV{ zHtAHd;5FVTQv?h;`Cg1kIz6>t<>#*tf=Ej%!AK|U&zu9pHLl4>CpE{FTp2lkq?4K> zot%tvq?41;+>=f!Bb`)6Iyo8jM>;tf^+!6XjC4{N>GU&m>SQ~gtWGJtHSuTalqWEn zFX-Qc-_Cr%rIX4uG40}Ko7dO#lGEBj^RqL>Hj`{k`6!-7RNo(6wXm34n`GFw;qG;? z?_VaE;ek0kFwAP2+SclUkxpvPCUb3r*7KT$#dm<h3W#mesaum6US-&1*q&;y7?X6$ zP%(zD$yf@mRIeZy>7?$j;TqSR7t%@1aV2*~&L8Qd=13<eqa5kvWHk4rlgdaZm61+P zM*WdaPDcHaPAVgvR7N`e%$zzISCiE#l{YS&sZ*g8K5*e~3K+R%lem_kqm#-sG3}Zb z*3Ac6v|k8QeCLU6CRtEOF<1;c;mOSAVrp%YVcXdU6JXZ4X@VIZn8O2Oa%t4IRu7DH zQgb$$d;Hl44qw_0M|Lz7+oaR1Y^C7Z$SBw_?~)jkbXt47B)m=<4mroA7L0UK_t$WZ zYt9Slq~^Git1jn{bW(Gqlao=7baFD9d(uf|q?5`>Cnux+NGB(w{zxa4kxnWjoqlFc zosKw?)hV^NCjLyF0>74k4uibl&BT|kqm#-sG3}am;!X)z|04h%Ro^YPnPf$47K8uU zH^G^Me~78INrr9N#P#t0r*C7b%;6!&<kF})s|Q9psX3d><=g55uja*r&F6QqO*%DO zUJ^ddjDQJEyaXeicK%foB9HzFH`n(S&x3Tr{>(WrT;rOIbW(F%$=#9jM>?rF(#gpv zM>;tf%{}R)GSW$9q?40Tf25O>QGcY9%19@bkxoA|r%sO^B&$;zZ%zD}IxYCB10K|U z{5QFDQkf=~Uyo*xdUktA*UUWGjXB{5PZO5IAGL~zsU@ATZAhy15V?^FX2`ZGb9i8w z6$`GkwR&KrlbW;1T-X!_^~H~m;#=nz+oV%ts|D_LnhZ<*@FhSxoosD^&R0u9;m&0Q zBb~56a}EsGxF#c=)ErlGx#awjPHK*Hax%)1PEJO1PdcfLbW$1V<Yd$z>EvY8AL*nr z(n)2c)6dMQQ`+ar>Xg<S7tYja&@FK{xpoT6pq;&3I;l(((=P5O9el#G+)cxSGL{lK zCRyKRPkEV{I&?1Sk8LHxw#)jif|+;Y#mUp~z#JYJlS`wvwR&KrlbW;1+@me`dGqqk zV0+0~VqDV6FYiPCcebs(Vt+sJ{79#yh==@8yT!Wy`tE{}PU`*|u5rzIA)TDLxpJ<! zl4~j%>Ez7OoRUsXMmf^S$tXuUsf=_|8R_I?)F0{OWYiz&q%zV;Wu(*3%&AkQx5?_1 z&RY|IrcR&lm4wm#Q(C^9or+3`ho-4aW5`09m4OXgz4*nh9Ylsn=DoNK<SgPV{#}d} z+e(IQKi7zWQniC!I;qUzA;;v>s5z?#MmniEo6J2rToQPN-=JWrFqcmIhL?ha?_+t( zt@u(QoyP7d1@#6-=sqcD2u3<#f94z*u5nF9IyrOc&*5BgCHF+mAL-=G(VUV_PDVM> z$;l{3I;o6wQW@#wWYiz&<Yd$z>7+8!NoAzd&&;V)tIx^ml-^so@smy?cP{7o7Mx`* zyW!W#NGFwPa``KNSjo?i>BG<Vi5EF0*}>N<xnIg=aA<dWv2BwK+h+J|!0$D%o#BBw zJTNAgMr~{Lz(^-GXOp>KRxRi81v|m9Lbt{9qoY$ZuTbvu@D|UL?uuZflYK%c|J>k8 z;_Ga9>y>m;_t$WZYt9Sl<ji%KbH$aME*a_M%+Z{ZPEJNS(#gpvM>?sDbW$1V<Yd$z z>EvY8AL*nr(n)2c)6dMQ)6gHu>XgA-6MyE>sd6b_*irrp+n>Fkm|oIJWvGRwjqjyH zk6*3)O`!!M$0R%0Q-`|N7BFYdXKX7Owk^AHHN*{f2xfR-4iAjUrBT~jJuuQq&Dms5 z7kA^mCjSoSU!v}$Q@!iHu=D0MKA~WoV5HN)Jbv&vTmQuGB?AN_oz(p`T;rPaLOMBf zcja7hCAV5K(#e^lIVGK(jB=!tlTnUzQW@!_GSbP(s6W!l$*4clNoAyy%1Ec5nNz2w zsiKqnuLl{uHSuTa^s?t3zO(v(Jvm<EXIP|@$~3wBD?cRi?0t*C=+^%e+f1@$wmrN* zn*#?EZ;5T2WZ3rc@6nK>Sz0mOh6m>Gz?fVbwXM|yBc0ToP38*t?BzL(`EY16-V`96 z=3GkTc{;a&^o^$oMmoWrM85JD2Y+UL?$Sx!U&A%7IWMG>n&V0?g`7XqNzIW?PDVM> z$;oK$Nhg(&PAVgvoQ(P-ot%vNBb`)6I;o6w`k6U(+L0kyoicfA;?LCSYivCzm1lQi z0eL+@I;l((OQC7MJg5&pik5^)=^Bb{CRwqi^?(%)fS%Kzi*1`^*mm~nXsCG?zs6>G zU=9zA$)!=-T0Jn*NzK`0ZdZ=_aO_GTWU6&r^iMi%dRiX}w(S70XSQIZ)3{glVRzRj zd`!3RE}hi<HC*GG^FlhQIj-a~%K0Om)Ew#LWRxSFoQ&q4bW$1Vq%zXU$*4cl$;qfc z(n)2clgdb^pP5r9N48{j%IvL)KU1e3S-rqm@rJEgJ48%5>7+7Ea7`;4;0@x7!Mw!& zUSgX`_WG(f^vhcU2Hil#Y?5KyNx=bdpna5BF2e(JcwkH}joQ}gfssyX&L(qdf;Cu> zzakt9EGqgZoyxq@;K!m>ylh3h$3!~WtX`1mKu7)Jw4s76b&X-pf#HFXPR@CWk#ohB zT&QHElQTziN;)|i<wz$dqa5j^GSW$9q?40Tf25O>QGcY9%19@bkxoA|r%qblWOd5o zt%*NVr;8hEKveEita=ZBF}<Xd$~3{n|Ff%76LJk~!{1eJEw-6tGg(b|*S02{+mFj- zlMLI&W(|VbcXNwv!vk}8U`#HJ+SclUkxpvPCUfKdr~x}h`$MOvy6B&D3P`E}Xa79T zPo&2$B$H0RmH!_s8L~NX&C`~GkxuIV8m@88c_E#gIbS(fT*;M}jC6A5XiiBdC!-wc z<Ybg1om56Tsf=`TGU|_Xax&_VbW$1Vq%zX!XXezYNTFnP%Id9&KU1eN;jz5KD?2-~ zrKy-+(n)2S;F^|Yay*|>Xdo{%{&%s>B+ET9o<A;B2bzx<BerdlVcS<77J+xcYGT{) zz#JYJlS`wvwR&KrlbW;1+#~N;ek656NWZMJ=$~}r&trMDqnG*rx(^nNblM)Vi8lyn zX5Y}HqhO?yy1#~NTytJXCuc56&J|a3Tr$$hnWH%+ot%tvq?40Tj&xEP>7+8!$;qfc z(#grFKhjBMq?5`>r=OWqr^Y3c)hU~|CjLyFx?7_7=kQ{z_eOcb5+^8eBvP2hklpo- z<_Sw2{K~=^Vw*{p;awD8YqP?T#V5tKO)_lTseK6anTKCvGdwVd2gc;msBNtt80n<u zY%(`LM-(4?U;w~L5dHsmbSkxuk2qBrp8pyy80qvP;{Sx51&|cS+lPn6<*)+|cR1W# z?)q?d*9}gB{_$W-f&?c72o@L!K>{IIu)tk6BoGK1oDf)Cf`(whzJBNT_4GA0ReM#W zYM%Vwo|*1vdwOOEZY}Q>oWd9P=qnj?GSAm`_pAE_I;mVgr?0q?>*O%#q;lv}=%g5O z&`B}mpp(g<lgXfyVrUOKDTel-lgXfy$)HnwrgZ94B&1I1eU|*uI=$K*B}VV5&t|MB zE4vr7lgTW}Evry4T1+~3g8#8`l-y<xJJc*%EcvywNS`iNZU-DjwfnOy6rEmgk=wQh z3wki-42@aq_h8V;%mtiW#CP%wpZdK-^}0XE_Mua!GSOoF@Cea<@0XH6r<#MKMdmks z`2G`mb~4Y`cK56M1v;tRJg2X?k(=l+=%jM!Q|P1^a?nXJ<e-zupp(g<lVWHOIw^+s zpp(g<lgXe{e5Q1oQ!1oR;XX_LXr2BYmRv0SBti6*R*n+R>|`=a4uxgy^`{VLE+!S1 zOYD~0%wZ)nB^TN6_7r9BB$r(qa2VB=-#bB+{EnFI!Ga!)IYVRC`aKwQGIIeZS7Sg5 zu_<9ck?+rhavM5j{x^k4n5Tj`a`cGYCv;l6H--2<(H{O&^cu+)y8F<5V0$p=r23`d zz)iB28@W%8u9pltsoaY$KS~Cj6kF19n`F>QG4wrjG8uF-8FW&tW3RQcJ?NxZu1{7- z2Avc;cl#U3pp#;027WIYbW$wk`0Y&Tw5dW!oig|=`J;8}`)_G+?e^xl<lm7dn4L^! zNp4yFYL*f8Yv&O)8eNv#%wfM@EG5GF4;FzGk+N$84x`!;fr(<$Bx1G)3wki-42@aq z_h8V;%mtj>{9$E8f^UY4oUe1sZRqsBhh@aw&JD!E`>*9bp;M-tWkmG+f4Tj8oMh0+ zJYU=0ukIJ<q;kXJHpp6T<mTs~VTDdAm*+=P3_2<H>v~cVIw^*}hfXGgP9}p+icQ+S zO11}`6s!L;sRNx9OHgUCWY9^m%5keDgHDQ-KfcA)=|r`VI%V`(@<;1bD~(Sq@y%u} z>dur+Lno72lGDHW?Gy9HE#|$;konAE<$myq@x!VKR&1}_4mgZz-=~}=ZuO&o7r^#l zK@Y~9p)qUy9t=8}xqy?ayC#ABeJ-`d&%J4=p;Og22}F%f&v^NB^ad$(`n#)7?CqVB zr^viWGU#NUukG$v_X~7Vxi(H;aU<8nVbDqC(5KKzG320=V#q-!lR+nwK_|t~9&}O+ z?LjA#K_`<zr}#|GPA_YO)G3qCl0RCf*?kg<*;7lim8(e;=wvcWa?6T5nNYOZbci>; zyiaa3`A7aEJuMQ78sFCuV~0GI+X07B?ZZ`*#o<`J6gOGWBgdSfF>`(o2A#}Yz{%xG zkWdug-b9q@cU`s*oxX06P`v&ojaYx<tYpwBZhb<r;nn|mwai;3gHF_*?gQK1uV&Cm z<yJd=#f{uDhe0QmL!Uw?#gKzeiXjJ`Oa`4y2Avc`d(cTSv<IC`2Axa>o#Hd4Q|9_1 zb&Bv=@<;0wQzlAWc<AR5>FJ#y=wvcWa?6_XM|Dx}dQ~y_heWa)nZs%~t|o$qMvMAC z)s-yZFsj`+VzNlupuS|b2Mc;I<_wKl>-S*L$;<_uT#w>WVr#B|XmKD$ZbK)wAWGy4 z>nf6$%_13eIujcuUhm8-D($3;Hgq!2*LL@-`vp3w+~>t;xzCN<x6|~+PUT8wr<oEu zDRwIJX33zFV(5G5WHRVvGU%k(SNXn^?LjBS+7?<S8FW%C&3F1@r&!%$w0?w6iq)*P z)xFqNY8q0f%sxy0Xq{Tt{Fy&(H6<>rn_fGa%#yp5zmXvK9^N)ZcJcP{X}QfD)~n+# zp6mGl@kNQ;vTFklquTJOiK0s7ypq`-Ea<_QGc;zc--AIXGZ%1jmxu1*uagfGPo`&; z+t6uR|Gm7(jymGp@W*nW&}moQy>f=V%P(i!B^h)w&)0VMtNR5ysobbBdhMjxqKh;% z=Z)F|{q)*N<qq}HYbV9f_t42?(8*-bNwKLz^x8?W#v}FGNwLJw7Rlqo?4(%rF?#K! zSmhad?c{GAQl~6FOa5q`hUHzxmv0!z!`Eq@OlHZ$kOxx#8@}SB>f&0##Innn!_rh+ z%>5Tfi?wI#NfvMz)mHv}vPgNqkz}?93wki<WY$6_lR+nwL8nK)W&E@60wVd8nsUF; z>Gi2)Jk2q`I3GcZL8s`V%Xx~JY$Bo?eQgb$s6E{W(8*-bNwM+!wN8pH&!cB2#fom# zIw^MiN3D}$=zHj7GU#M7=%m=}-C8HbTE=Oe6iZo6&rXWf+^=;~Ec%qzDbO*bPFa1H z{Lwniy}X4_zIcqcKB{#xndJ<>ukI$EKhRYi8<ATM4RhFoM;rM1<rBrCQS|SC2OLJV zH~LH!?Q)Ei%=TbG55{EHvdmh)2ZK&#F5u*5_1VlT-<~YCcI+>=p;P*FTllTsqeZs8 z)g*&XPi}AF@1kpn6w&lR0XmuIYdh_k3_2+$Zfl(syINc8q*(uRS|`QQoz^-jhQ5bR zCWB5UgHDQ_ysULnZ2onvlVXkiS|`OO-PSrOHsOWVY3)ZLb;{<Wfzvv5zImHpS#*T2 z`*RnQN<`EDHJK&3Wi@Ymlh3QuRpkAh{t^^(Snc;$`N&ff#qi^UB?~x=Y8!ktRSbSS zTr%5(1w9yZhS03_dobu^<^oQx#E4rw;k(IV$;^Io8#?`+`!?SgJz6~TX`L24yUok3 zjS&^T_Q@P{GSAm`_pAE_I;mX7=cEZYa^+j;i=E1eoAg}gj*;tmjh;m%s$t0=l|$b{ zCzC-ZlR+oN3Ox8$wpYw(@9vYOl40$naw`Tbk_;C+#V$Ofbr;r7ik(TUb^5J$NS(6# zEcv5#YI3ZQD3<OZpAxN?;wH1?F69d<b0bC1UY$ja-dd;FI|al)T_%dyu{6v9Cr7oX z(o7Yp>kgI7_FzE|#+)uUYyBP!I+?kElY5=3kl4_4vN-Yg$8sAwB^Xvn^lmXqR4iCk zvN=xflS_p}ue#A9-9)XEdA_!jGZ}PJ>}h+w6jv;Kr=Fb@TV7u;#TBbrM=!+{L*GLu zlR+nwK_|r$HrGpW#SXUCOL4`<|Dk6m#dfsUOL4`v_SH-AJN-lIl*1?8h^N!|*Zug7 ziF<f~y^CcxVs<i_<qZFzlKuIJLAQC>&Y3dD99E!mf1dwca*^=bII49R)mBcFMf6J2 zQ!?9w1w9yaGHaoe$)J<Tpwp$)1Ng<uVWPn2BjkRe(}1h}`TXK<`Ga(mC4){s4d~DN zC;XF(urDRU>_qM9K7dXpgHDQtO_?uix%^{Uigh?lzxm<3!5-zN9A+n#+wh+L8GX!7 zilOhJlgXfy$)J;BUEa=;?O}FO?C)s$MIxA;6f4qYs$`g*6l<P=`UJC+Vhg7&aQ~V5 zv_nJcl+#C@pl7E<UuEV+|2iHwxh8cjbTXO6sDh`+!dp(R!G~R<p<xb7(>M!%R_ZI> zZDwz(br{uFU%H*w>PZg|Y!4RnU`%FZCmXeX4+fpgT)@etJD7zhF1VD}S=U8wL#O^T zvhdsO{>KOWJ4!O>R3%jwzVo+8{%Q(!Idn45*LK=78FW%?Kp3gRjoi=8NKfdba?RGv zl?*y57B+dFWY9@5^gVPk8FVrkbW$wt^BJ-|=%iSq19bk-NwMiSXxyNaVp|r|)Bv3n zdzE&ct5c~@L+X^vM+2vIy0E=4UlIE@?(mCgvT5jKGK*0~ojOJMzb|_69GU4N#vC?d zei2@D{RaNqq^4BsFsiM5;51(#N=asWu%HKHGHY38t>1$|Co>mta(@;o%6+lh`R>Pc z<Ti8~b*%{RdSDh$`kvZ?PUGtp;b(K#<3C4?l?*zW=W9FdnG8B9wna>m8E)j>C!)Xg z44qVNUPsD7C&ijqnIai<QVe|$olFLuOa`44OEQSA4A4oj+|Ov;3Y`>NR(gnJ&`Gi9 zO{njnlVa6>o$Tt=E)Y_u+&&sOt<$m-WBJBqyZEluS|^iPj4DbN8OQTQKHz(ceku=v zIqXh@aXkN;bRtD}nh^pHquO#e^N9;XYD;E&u%HKHGHY38t>1$|Co@M~Vp;9VjpzOb znM6eSwsIRfoqRryr&*U!6wCjKWYB4Sw{bj2#>>2kpX#8KdA_#Op2?t-Vk^#*I^4)T z%=Wq5hE6K?`Tr;fofKouX_kOailOhJlgXfy$)J;BH@+Do+k;Muy~{gHGU%k(n67lY z1f3K+{5z=#ofIo}X_Bkc$jKpf%HyNX*E;n)ypM|<kNKH-OJviSolIsis#tYyAGdRa ziJsMHSeV1koZQF%?vq#8hp8(A4x`$4y-JB@sc7hJ4;J)bOlB?1to3^^=w#*sPA)@} z{d`ZNg5pR|+J;VND(~kzXGMr!gK6CWou2si^Yy8ciX&<0f(4z-^R=D!Oa`44+uMcK zKitTrSV<Q#=%jMXU+T4!Vx7)?EpyOGG4wrjG8uF-8FW%C^_khSJ?Ny^k_fs0LMO#8 zmZ#|gIw_XmKJ^K7QmkILuU(xM&IqYfULOsd)~Q$IejcoHpKobQT@Ia0W-+ShSARcG zbt8>v`Es<(F^6?&wx8b{T113j=}xr{quM0zs)~Cp8cSw-u%HKHGAn;$lu_&VV9?3T z1)N;bbNhLPJ0--HdY$DqbPC_SpMUa8c5!U=0Lh@!g+crIZhtaS<X5VLPUiXAPJ1SU zPKqs#(6f_bw>x|$>!6cjV>Z*r46~DBmFLg}5IQM_zK2dGgH9%cPKuq)M&kjU6nkvb zg$+6>HsG&;l0hfM_SB~fK6Fy7KsG%)@wp*&%IBkj(>lGWkX|fodWs(}vqClvolIsi zsyI_Uy{L5IKfdG+eF~Ywu2fAgQq4*ymNumIK)_*C+wWRVaiS7UxV8ridN3xlmSxuZ zJs5N{bEJi36&{jaWPX@IoZd!52%S#!O)sWYO)54nq$MYG+S4q(nBVgePn(=nf==f7 zLMM|!C&hNWp_!b^KR9OUzeJ4gjG>dtEm}Z1=%iSiVc$pwofJdgLno6#CzC-Z#gYx7 z84x-tHvcEOEr3pnojygg7<5wX^;DW=p_5`YtZ&@eDY!7CPWgS*30kL>sWXWUa_w}k znx36ZW-+Q5QXrFPu<Zfw^4&;z2+U!Zif0lT%cK|0-*%EL;4rF9H9o&+@Svt-wg(G( zFebB>W!CyV7<4jo0Vg-MPbP6<PbSghTx+=vogTHzB=$c`C{AteD;ac}ST>XB-uW{B zw9I(Ppp$vNw$q-;pp#;8N%ZWbSgHnkc2aDGt!F32x{TMelVa$5=wveJWHRWaSnmI5 zEeo9#t1@2CPKxdPS<g<2B`Kt5C&e11(6f`ZJfuzqd^B)cr}Hyw33^b__kSzpVPSSM znZ>B0?CM&g`lL#{oAbPeIjqyxTH@09FL=u_G~osuMz!NMuHn(`I!I=Fu%HKnPG&81 zG8uF-8FZR)td@A4at^;cj=u1LP965u5^?Ri@k}{r_JmIT*VGbkM&{;QW9d^3ov1zC z2hho6&`Gi8)o6y{@{gR4{=atFc$$gM8?5ZvrE(jylgd5bwoEe2PKu%Lp_9p=lgXfy zVk@`M3<I4MEBTBbP+)daY(O~8SeTs@n}3MbahRPHyA-|5ot+AO7gDE!KI#OmQ}<%> zw;9L>1t;#%1pzvl%wklrv<VYuy7%Bivg$j#?jJGn^NDr5?|7OK0#1%<>kdD`&sM1* zneD-X9*oJXWtp{p4+fpgT)@fIoW#V^!drRMyY$sFbm~2n3I6d6ekNsa$)HoercA`W zt<CdJpCB1@GSAm`+A|q+Qf%iIYM&dq#LwxD4LYgZ;zpE%PKvcHN=stsq!{`hI++YQ znG8B9mb@^{iqJ{1V&~{?4>~FKeK<XPgHDRQiKf{TIw@9j`&3t_dh0{#6zQXZ(>g`U z_0NVwC0WP+mdmE0lgTVb6=!>-7eBw;79AH(-N76-I*?ur?~yvT*4pk=>oBSvym?jJ zt(?^)vprbQgE5(vujm=Ieh&tn%v`|96`hz~1fQLbt&+99+=fmIho%>wO(_*U@&}qd zp;L65^kU*qccLrir)}tDp0Dk+XENxdSj}H(oy3jYoTQ87Hgr<C0$nHvofNxPjb<$9 zq!{`hI++YQnG8B9Hm?e;WucQ|dB)PYK_|uhOX%r2bW&_ebDE){lVZmXE^&1lv^k_s zg?uz{TBmta(~2o???s=Fw{|j_#i*j`p0uL&lnhZ*@Ar|1z#KOBQd;rZ)*Erj&s3Ex z;4rE!P@^ID7l@F|_FzE|#$?vA%v!$(gHC2H;N*7SPb=D;Ov+o`EiJd9Q_J&d#g#KL zadU4qmkc^(`7y2NTfR{A;(GKr7CM>dYdh_k3_2;s<E@<(3yZgQQfy_swUc69<E@<( zL*GLulR+nwK_|uX##=inRxRGzNwMAW)=r8gi??=CtYN&h)0`b4bt>$mfzvwe{9_+~ zHg5sz)`>nzn4L^!F{+qeWj~KC*_?eeoF-T1u%i?9^HNI>MmMkCjA|W5wKIR56;-iB zLCI_n7W81y$*hG=CWB5UgH9<%?B|hxE{~p_oF1P-r=MEv=XUd)tlo%^C4)}=Q}5?- z<@&QCx#`veI#GMN51^CDpp#+^3eu;V%RiQ-*w=mOIo5fD72`B>V0KcuyUS>;gV{+j z^gVPk8FVrkbW&`|QvIEsVuh~I6$G=BV!hu|pI~-UY}Qt~+r#Xn*qOrmJG)JLL+Vt- zN1dQ`+C1PC&%dJsi~rooWEP`}wO3B@Hk<#9&MA7zLtqXID{`7|zcewnL&EZs1sq1T z*A85W`}AFyWVQzjdN3xlmSxuZJs5N{a{(v!bEVTf?cHo~1wShyx1rO6u+u!#+=kH^ zlhHFU==5mUDSqR2YW8PNTCzhY^L%ZmJ(EEv#o|AAQY`*+C&l7FcTz0=b0@{(KX)=2 zbTS!qQY`*+C&l7FcTz0=b0@{(KX+0r{&T1E`$Otf)JFrSb^3T!cfLlhoi<OTYd>Zu zlUa-^8ny4iJ6Bj6J!}~*-<ZRuoan)=oZDh6CZ{hp0uH0vt#c2@ZO>9lGTVa%Js5N{ zYoU|Lpp(g<(}vqUc*{Q`<8DpYOYs8V_TV*NCXL>CRzJoR*?aKvgRVqh{$9^c)Sm7G z=wveJq}ZY+H0yBr$FdZ=^(Ea+VRlk%^c|Y9Fgqz$=^)K)n4J_u-(z+%8FVrkbW-fz zFLVo4tVaA}8Ie@aPAa#(fS#Qc`|D4d*)TgPmcPY(ckT4@P)MDM`Dn*lr_@&l@Zoap z6#qLrlUa-^YOfv0?`JF+HE;-BIGDqF6&l1#`h#&lRjn>rz+qH-^kO~!V0~uEY!4Rn zU`%E$%dGW#Fz96F0#5E(??L=}k|aE1y|Qu}vs3bjK|DNp^|<}*TS|u6Y4wnS{Mm>i z(fQ5|lWd_=Yo4#|!Jw1M#sAJuvH0KFDHi`bJH_IEXQx>F@9azlolFLu6pR0zonrC7 zvr{bocXo=!|ISXa_}|&(J`qx<;yxNUty9K3CAd}W4nO?rN7;>-olIsis<?Wg1V1PL z{qb4FR>>T5*tYE@_&>wK#pkDJJrHmh)m{=g#HiZz39&s`(1SrIvlcp;3_6(%I%S+) zlAmUo#HuKo5uj7EQ6>2wKc^Hw`sg_kbXr!nBtLuS9dB7|jbzY?+S7diolFLu6x*`@ zds)lnAInngeUf!@`@F&Cb*3C<CzWenZG&W(ofJdgV|FqbbTS!qQY>K=8V}4)ip?2A z=YX}7V#gQL^DeBN6noz6JIOFRDOUa9dUtkWXG7{#!bhE;b;??(cHExh@8fQq`aw1g zolIsis+d^5PTbIBwfMnr=th@0EXB`t;_B6&!lRqhg(KiFs_j;ACC{*Puw=Fe3wkgn zv+|8kqt@@ipp%&kIJuWC>&11bJ&XT+n4VZer{ZyS<0>}k!}D*V3lVfG(Z5by=~|`u z@tX9d5_B@pmxcnzqWc9psoaro*2)Ywa#^mfmfO%t<u+EN9CT9blT4%-bW#j`51mW~ zolFLu6w8r;9zR1T#lCMt>Od#O?hd7KgHDR2E&8ow&`GhjE7rL>`7edksicoOOY4+v z!8$&&e7N|#*3YtO=wvdBQN^gC>v)Z;xkUM1n`MqUtbWsV{ATN-;?^^=Jm4^@-8`_2 z7&Dsg6m1U{^k7V8<xv^6eh&tn%v`|9i9_pn-FC%A<8{=%&}q+sb^PVU0^&gAddZ+u z_RZ^f>4Dir)6-iegHGo8+D>~WgHDQ_O1)iXxRJ}<Vw>ECPAd1)+MgtYPKy0+$_~k( zlVa$5=wveJWHRWaSpG?LRe?^5ZI&~P(n+z$H)-~SPKre=-6R=wQmjk*9j;DaTnnjF zDW5ZN^dILZ$?Mc&Q_p9-%J~DbY3O7!i&1d=-PB^yw~0h}8`6$B?9#c^V&#-DG2^T= zvpI}vXA}q*Vjm5Q?ZJW`jLEEJnYDfo2A#}Yz{wp;mPY)LDUH}uia!0&DI$3q(Wzl_ zv7|T+HFRp6FpXIFG=b>eAXYNyWS%b_H;zU33v^Psyeoywa3eSHW}MuHPAZqE8s(sq zVj}B)$)J;B=zHj7GU#M7=%m<?%rqX*NinM<DT~=jvFK5xHgr;~SIIq+K_|t2_->!8 z)7m>Bbt>(n&eF5f$Y;^cmn;u9|1O(`PA0P$RfIo}7HLl8=l5FdmO19I`Txp)+-6#1 zzOW)q^Z|!aZQfr#;rABN-H+|Tf*y>?tYw+Ceh&tn%v`|9wM@jsq$I8Rsn6&l2Azuf zm>9pT67QLtK84WfKlvLDMqJ9m!!pwFLnrfmZKpkxK_|t|jHZtsH*$I7ev#YIN#%BA zq#SfoZ0NrSC4)|iq3@xS$)J<Tpp#++|Dp4MPKs?UN18w<#r|=|4LT{7B{}I1ofPwr zKj`Z8+ryALmGRNQX`RT*oYVTUL5b;8qh}}0EJhViGNcj9PE}+%Z_z}`9CkM{jY$02 zv*>vXzoc4+QG1zc&x?MPe57Qy2Mc;ICbO6kbgkcmK__z`0Vh`|TN*L#<zLYY{+=$k zp;P<tG~!OXY;4m}T1!ADUy?Lp;_W&tORp`GK_{~hY^ObwK_|u99p5W6+{k^Go`w)Q zsa%!5l+&{l_34YcH2ivY(*3MwC(ZQiq?w+bh^?zlGm)O1h*kK4F64T4A~tL_EmHLC zL~Lm%Ixjst5xf3JtgF-Ge?#h2)<*-Ub)swLIsPll_dhx;y>`;fVpNg#?mC{n<7$@a zH@Zt=4jWeRdw&1WSa$jr4Qaq()L!=+QEc8?x;eK!SkQwpnZ?>k*ZMsebTaor`<5^F zzLdu|dI0-=13dtMPOq-4<LlDRWA%s9(_iRRcE>ut>E(~CbaGnnK_{~hY^ObwK_|sh zRwEU;k!v@8liY?*D)-<F4Iy+=?E7sr)X+&W^gVPk8FVrkbW*I-7W#NYC&ljmOLwi% zNwGrVbOnJ<iZwk%cbU*hu?5jvU7gat4yjW)pEGduALl34kw`vqLLWA?tG=@{nZ+o$ zxmzLr?o@8ptUEmvU=Dk6xDa1DVnOsFKYd#ra2VB&D3vYh(+f={vprbQgE5)4EVI_{ z!Jw0w3plw++Y0eMTRw?y*oYokLZ@YcLVQJ<C((%lbms}366Y?&dv&kCW*?<H9q449 zukEyFGU%jOr^0Jxh8wwc{b;zLlgdTyr(uOoioKS1PD&@m(D%^EWYEcE&`Gf$mea)@ zIw@A=8hzxUlVYPRI$!9dn7y5DTcDF-w~OgJyGjYZ5B1N~m-o@Y>Dg)Gq62YD<|Y)A z9?;Shvy;gzMis>JO-U|VwAB|oViQNE72_w+Iw|1h7WK>|4kVl)neD-X9*oH>_MvP2 z9t=9seswP3=E|o`FA}$=nFu;jE_Z@3k>}2G$)FRlj+c{){zo=R2AzoMKCs>PG=okm z*MG+@nc+rm_kT3ILnoDM+MIIGNwHL=Xz7gENip<2bTS!qG8uGIEVek!cF;+&hJ${T z3_2+`Z5B-z&`Gh)wdfWFIw|&Y_ilG~YL_&mP8EDKa9XECncM8`H0x&Eil?;1hE684 z7*!B!vM2=~(3w7Q%w;FK6y!^$&`<?j78xGJe+mCoGTVa%Js6W&>_gZ3Js5PNW6`;Q zoBMiQF`lQRUOQ1PW`g{Ce-D?)40Iw^>Ulyw^$(ipp%XFP2e#XuX3$CHrtYP?ByQx+ zS~N7!N##Cis~;37R;U7L2b~l{-$N&pK_`<zC&ez7C3T>aV!emcM;<yUwtAj^P@ve+ z2K14FPKsp^+g+VThK1CrqK^hn>-6eiCXwv77yMkkplljCnapBTL2SnP1Y*^eBQnQa z_TW%5aq<#%Tfk+$9jQg;t~8O_9xUj=n9O1yy4LT(pc5U7&IR1uvQ8;P+fCF(n4Ks$ zwMAkvq$b_LKqq3ql(a-#<R6kjCt|t}Y_~nlpp(kQrT<fAxRFcM=7QXYPAa!z!$rw3 zJ1N#>`X$MrlVa$5=wveJWHRWaSlX$lWqZ&`v2T7qAsKX1?9$z1l3{jIETMfyGU%jO zgG`rPo$T<CI#u$~z-gVrhbI-|%Fkt|E8dn(Lno72j4Fr?Xf&CvSaC|`n9Dkx8pMwM zPIol{mnF>Ao@H!8p9b551w9y(S?ojC`aKwQqGQpyfSdd3i;r2W<@D)?PL#X5X&f6= z<~PZp6S247Ol5mA(eOhjV!97(w>{0ElgjN$a7|{okxO1XD7T@L$}L-RRWj(LSjSJV zO9q`3L*GLulR+nwK_|t+Mv~glNwLMd&q)TI6uWSq)PYWlS+hxP=%iTP#MfP&c$Sbl zRrb-qX`L3ZQlj|0H?hyzQ`t0hGMUAwg4lw&o#Xa@e?{h)%bK-X9ryS&4OhTrZ}*&u ztLRMhwg(G(FedA<4_)i`V9<$<Mdt!;?ytLB;)buK2OiLga-|ndi<?`OKEcq5SoS0} z<1XjADH(Jkru)El+tUm>sodoh4`qfMxuQ+(%WdeSa(vYT$)J;BV?Tc+8FW$%eGi>X z2Axa>ofIoMfu;fIq}ZPQq%3q&?DbVr8#*bLcOe}cbW*Hu>PN0lcXEZ)sfv#VPV029 zzz|+*`z6*QKwSZyOlC2vAXe_^36|>~J+5Oe8**<SYm{Ll)w--++8ykx1&bxKJy_6# zF`30abgkcmK_@yEoeQ|Rw7<r&KW?v;+t7(}RWBT34?m?PF?1rfKj&#yrR!nIpc66O z2e#XuX3$CHsx+V(nj5((Gf&EG=%jMlZ_ou5Iw^KxAE^zU6hq%bCzC-ZlR+oNrgK_+ zKqtjACp;t>bW*Hso`aG>C&k8{J1QA;Qta2pr(K<r6%46URUZwU)`^y2xk^uFT^jF` zO+zP>S&S-(<(xB=72QGVFqbVo+>W)o`Zd+Mtahdtw!Axi6>EF2pa)|zi+$)?zXyX( zbSyd-aC2wIw_umI&6V5GiE>5P_G16l{Z=yQM66ob(X37}S~^1~V!97(w>{0ElgibJ z(2p?{`>F%ou|X%r3T>uE0CZC9=4`ryhE9s1@1c{)pp(g<lVV@br0)-*lVbT#&~q{9 zq*(Wdn<RryicMQZ3j^q+*vYK=F=nA+A$6+eqk+>prOMn<Y@IzYs^;0cHIz;!vlvyp zd(lB0y??LzlvLGZjyY`cxeoF-fnV5jy-5kGb=dXo9Ypi38Df3&@=9iVu%N@%tnDE3 z53CSdY6<0_Q{Z#i-snlOC4L|Voy_*2lgXgdu;U%XyJZ9Ro-18c)<UO4w>yaPS;|!} zShT!k&?%YKQAA#ih^pB-S~BQlo-cGV8FZR|vZI*1U|&?@2Gmzv4uxgqe$i2UJK<8) z>~Lbx>EG;~M6$m!MgP6HzGTp;X7WzrXtsw@v$GL{PUb$KlgXfy$^L(K+EGnBS-OS) zwWhXg4?3Oxu8!DReiko1zNTc*Y0|}(qGQJNJkiD&$)MBgiS5OdNu8PRry7z$r*^R& z#gwKmqd(eGyN3Fgdz+OBsZ(_yb%NGu=+^e4tFJwO{9^;zG-fB0S&S;iKWHz0_`}av zU5Ju7=CG`h9YpEmAM=iBN>i=FYWX{e1BVCm*t!KIvprbQVV#S05M6H$;ZK`TjyXef zY;Ainz3?dh)KARsFta`AWU_#h>tDWusFtlC&-<vjtc6bXQgjfh2leDnpH!3#Iwif* zUd*+-@W}<JE1{ElzP8hz$)MA-;_XD%>MeNw$22V5$&LJ`t#~uIDeuvo7<77YptZQ& zr#7GUjn-*w<+fr^|Hhn$Q$Ir|b05&jWYEcE&?!roJmT8MRH81U{X(bRi%N;letX4x zm#!ljblS72t~ftyH*YnjmSmK*tZ@l?i`oUI?(H{;RD@1tN_G>aZ=Q~OKBJzi)1XQr zb&B#)gIcGD#Rm(k^jN-h5tB_rCzDx>Dh9V0Eb_dZ!29o^!(<K%8$MXvOEH<Z`nw?2 zI&AO4!6K^rRQ@`9Hpy%c7IawJo`c2qnbY{Q{FGzP(A>K^NW_ht$!}F6=69Ic9&|EU zz{wpQH&`5fGMRsTD4(o_PMvxT7PEa5d8?D87<B4Wf3PT-U;<B^qLO6L$vj`%Y0qTP zX>aL4qQQcGeAaRLNO33k;?IF1#n@haY-wW9>Dvnf#OHw)y!s590Wmv$xpJU5ShE`+ z{)`xOGWP+UOa`4y2AzIsSYFKEn@c>JL;HnJMdsBOUp@#Ez5CJ?1Uhxi(M9A*dWPSg zT17JG^fJjfar(`S*dmctC4){4?NQ?MMLs^ed6cWuoT!jGMf)uIqjg%fW3=e7D-icn z3>_A9GMVKJ|E9U4#e~mh#vSZeM&_8qPWBru24w#xF7YZl#el;S*BLDqpI8?caXGVO zwg(G3ELZ8#qRRS>ah+~ajyXe<{Pm|I+3DSJ>0cA`JIrhkI+-ls<jQv+EgH|T<H}9U zBWt14weh1x#+LKrE=-~eAaqK&bhOxbYHD1Qopb?&PUiXAPJ1SUPRVDD5s98wjT=6; zx~%0+F5>qwV!@?+ai=O0gHCDvV?~|`n_~mZv`*U}j}g<RhR69TYMsn|Kqr$yCzC;^ z|5>fX`&9q(mJ3N8==6PSzvy`CFkjM~)PYW|YYrA`!$<OK_37gSogNezBR(5cl6|?0 z7<4+fb*!*ojfg&Rx2mht&RQXLVm?d$Xr03LXB6iPUE_&PW|U1sCzDyu@Dsa}?jgUI zm`;(oY~8=FxwXWiT9<u%JE5qzlWvl24;J)b%o!TmhpzQ|Fz96F0&Xr<*7tl$@;7oD zI#KRw;%B@?lO*!^pcAq7T>kP_o?0^KL`?UA?Y5^GbW*vO<-=tyH*(9`rk4ylsoWhO z<uE%bR`(xbn4J_u-$N&pK_`<zr=}Cb#M(U1dG04^WP8wQ^ztxK|Hd=kD?ObXbjtiD zwJ3G)A3ixxm}JoDaMSdn+h6zi;xTC@gHF$TWDrX?+~j+Agu6POZxB+a7@sA7v`#Iy z1^BhUiwpnRbh2saWHQSceqtX7%ZfTF>9m>4em_}7>|(EE*9Ke`jAg>wPtSF14;J)b z%o!TmhpzQ|Fz96F0&Z?hk7^=1!@qJHI#I57hl*ljOJ5D86S0*Q%ZSszrjQIe5z~EO zyX|QPom8$>RT@HW<o@eKLkOKzu2wS2K_|t&eL)O5DTcm>P9}p+CWB7h>o?=wj+Pc< zo~M-UL8lS7n(-m~N{f9FbZ*e8+KF~NR~h+hoC+qF3_2D4v>!jTsib&5f!c>o&r*!y zwN{r9S@x!Jb+Vd=)TxHgl0RCfC*>-OUGK9;SGbx*HVvIjW;w%8?8c?xQ8_Y^(adFR zbnV!3>#2JJE-P9pZQRE5&t!Mo9xUj=m@_oA4_)i`V9?3T1>D@(@cFUNGmtvaiE{kG zzG@S@Q1@bXBGzllrl{{v&};&oi0MAC-S#wtPAXTVPK2!GM($+qOp-w-mCGJZIq0O= zr#`xnLnp=1_t42?(8*-bspbDFi-n`A#kNe4LAD2-o=X<}QJL7qdFkAsQ-YC|MUzv} zdv}$l=>j^H{G_s2oM3v?kr`AAopv^@EIMC)8uj>KgsW5Twjp(@>9gdI)@i`qjAGK% zJuK(doU&=?WHQSceqzJyO)POHx+pT2ZQHw&WnWL`2VC~W^#yF)`S-HBZ4VaoV9XgB z+J~<7dobu^<^pc6*}~=Qa)zYxSfCT-#%x%}`gNfh0Xh*&^v_l{_XG_!bRwqvz;@fy z3_7V?`a0QVEjMzzdeiL#bW*uQ;go|;igoklkPJF0hQ5bRCWB5UgHFHZ&Mr=Uv4&Mm zK+^zpVyUx>Wk=Sq&+^i_L8m_1vxy1i*RvI+Nq6XU^!v;r_qSWwwi#3loth?#5T)Mk zWakfNcXeW&L+Vt^XUQL})B7zw`03BG#;neeTQ&`yOlCR5Ppr|b3^6n6(_t}}{k=3S zX60r2^aosa_Q#|#2XZBl%=TbG55}CKp?&CDzXyX(W-j37s-#F2)2kj03v{Af(+ufi z{{50>ROm!3L&Z!nSrbuLLMLLn4{WzR&7hOYEgnTma3jZ-kUG#w<)+o49CT9bZh89H zLMO%0_t42?(8*-bDaE%__|L5}#q2AWRkjD6miedf9Nja;Bx^%6AarV!Xd-W)H6o@^ zPf`pz)yXn~v*Vd#s&T4?P7Aa2<Acs;iRt<}hpSVc?jd!m?X%>M)`^~m>TZKhCbOL3 zC-$LE#6HxCm{!7eYc&gcFy;)6S?l*;(8<gN+}wvcQSL*Xh<&ING2I8Y+n#37N#)|} zq*#2N6pOEuV)1oSEWS=AgH9%cPKT~kj{B}gRzs(+V=KljtCiKzsc_}&aeX^xHFWxK z|Hjx`<FXn$r72S^_VY<u4V}K|8&an_ALumURcbM!{RLj7BwZw+lgTV+_=!!aag*2h z?LXPw%w_coJmmxbp|2bRE*tv(9p66mgk-h{3wki<MElUS(8*-b$z;%p*oFqr`Lkay z%l%?@A{MA{pQme2U%O&<BKGp}RlYH&RYT2A#B?7(CzC-Z#Y)Vh*@eqCElaU8KP8k5 zvy)=EKcXCFC&k7!ODq|2U5mcQ?4)vF(8*-^o!alhl8RnE@AI}z=_-KPDK;{xxLV{s zuX^>JJT}Zu^M@xB7s}k_pT4I%Ud&Dh)}|D`HCOqGi&Tr*DgC-Iv3cty{%^*_?(DR7 zU`U<n`shUT>=agWGWXvvEf%iOI+@I3R6*=cu%dXk;k7(0=Cb;KM2Vv3Zb%kzS(mt4 z;(zVwD^c5n1w9y(S?ojC`aKwQqGQpyfSdcT2NRo}Hy)r9<!*MUDvnlvEHluFSnf&{ zM5-^fPQ-K{*lv58K_``)k%W}sMy_ljQUp4w+_+O(C&e!9(>f`JzK2dGgH9%cPT6X7 z;P2m*7e5KD)75Jo_-9Ybix<Drx)nM_zv;%`wJ$F!+;}S)bowdV2%h~wSy7^~PaZRL zn)G@Cul!>f(c%lO(}`grb*ks1fzvwWtx-lyxSKh;&RObS%uXh=7*!BUG_hAyyG-<Q z26I{N)2(ACF?zoy;Ii&@GQ=I(M=y%l9xUj=n9O1yy4LT(pc5U7&IR0D9rjIZ$_(@^ zK6Ij7ps`ggat*zo1f7UI@31y%$aH!kXQ5lG`@r^K(1~g(H)J?{(z%i2yJ*&iPAb<r zE#)vfDVF{b4J&De^VR!>PAZ4-fKDcZP7TJF5v6}A9{bCEx`W2-bVagEsq@D+FZqvT z(5c77G9q86tb6A)rjHbKsyL#I*gAG<)Q*HNB!f;doyv&3ogYTM8}-(Gqu}xAkUG`( z(TQlC!pCG0AC29^c9){=fKDc}7*!B!K5rA7viO$FF_+ERypnDE<v7*4tjD<p>~)<z zlGz?C=)suGVjsHJ@4=uG9gEHd++494%UP9$^x_G0qFg(B9cxpRUNM7C#DX`svXyD* z{Uqo_O!tB9wx=0%Qn{7?(X%aX<Q`QgJ)x7zO`JzL=%iT8kmr&?C&keB(8*-b$z;%J z|E63b&)e1P=^*-eL#HOoa*6RZ*08|Vdy+w?Vn5^*yW+lQaVP0Gpwpk#vWqDHR(5L& zEdrp^iN#q(mOpp0;_sfhI%WPWq)rWdG;ms{c2zs`ue(RYtSnAOLno72j4Ftw8JI3+ z;McS^VJ_P^Hbu-*LGRK8T()RVqL}M7=>-tmg9SYplUeLT*ZMsebfRO?xqzE{doNi` z-ud*R4RoSh`e$J=QHALJB<Mu!Tts-xv{ZC~hEBwEAJ}etnn5R(oA!cK<VNmXmA~aS zbW*u~Us4V_DOT7Se(0na`W`x&3_6(%I;H;fbN*|)@R&dQ)5jY+J+1UP-_k2Qrq3pt zjiJ-0e~#y=GG~Zcb1WzsbUIRFAm0$1G3MArdi4%E?HJvIzl+TjlkxQfSEou}gw&~_ zj|NWbM0X9k+n|%lEJhW?KGccWhdL3{Lk*ow2AxdC<Y{3ay4LT(pp#h}aC0B(M7a-j zBKDz9#B?9nZhM+RCzXq@lVb68QY^ksipAGSvG_Wf3_6(%I^F1AA+Ce`2P5O_w5@Tu zxVn)MhE7x3WQm(lJ;KoGiv#Op6Z<0!o!F7Wv8{SV7&^6^6;h{0AL!J&bYiix+zCGX zCVgU{lgTVbLrrW;j!S%JIhw4Q%Z6C@_{}c#!f(K3%Pv0S#jgG?neD-X9t=9sK6EW~ zG8uF-8FV6cw!j1aNtugsznGnftxtEIPx+N5f6PwA@*O$PPpzX{3d~N#bRR$`lR+oN zK5pQvp=Kw=()ObzF=i*lIz&(ovy)=GlF%I>W+%na_n4hb2Axa>o%&RH&7a-5%JZkB zyEx2F_4~c%OSfF*n;X-@1+!C+`)~QG$CvrzPhLuf*@-9eiPjI!@rb;%WXJ53`;q(& z^DR#Cl1F^*on2sFNSzw{Ecv5nr=ugs@~`}b#Gv$a#{r#8W;w%8EL-amV&g2W6R|OM z%8NgDYMqFES+=UkTa{iqwcT3Hf*uSynYGZ#WYEcE(1}>_3l+piGqg^`G9NE3#^$06 z5p*Kfazin3C?PGAp%XFP2hho6&`Gf#BeYJ6rCg+SQmjoat&?Kg%4(eyL*GLulR+nw zL8s@p8}nyni;1i~wN4R%CcIGLVq(o2t<(F$ZTO1C@?W|6RqM2=TwnfG&LSdgjMk}H z*I_()=E9=LE3K2gIHXQZeA1?PIz`_pE^<G57L|)r_d+L=K__B?k$+XcU-+)fF-Hkv z{~TQ%o23=qO$A)ms#2La|Jhi{Y!4RnV9<%$)3wmaWYEcE(1}=~{1;-EN7DPxn4O57 zpLAvK&%6JU3_3ZvhwY-0E~h0dbRwqv06LirIw_WP8r>0b`Ny&pYju?Fu+AIoZa&Ik zc2c?3KKi;Gvy)=zd+1~`=wveJv?WOivGm>-vF)rUvOUaBE0UHFktHX_-mF1yb6|Gb zl(vL;kTG>^{*UM*h1qFrniArl1^J>HM$md0v(wf$#YLuq+oI;qeCe*8ezQaB)YM0v zpl7G48Iy>Ykw36x&FR#klgTVb6~yjDtzc(%(<4jfvdB(fG2cy^i2^QrGhqs=-<w|d zw>?<UgE5)KK6I_$gFz=c7M%;YxnC;GVPEW|+XCoBxkn8avsDdgn4uG~5p!0t$0g}w z0iB5HKCs>PG=okm_c$vJ12=NjyF8ZL&`IU~*hWJQofMn>72N?sC&keB(8*-b$z;%} z|Iw5pU9ZI~=1bB9I(6QYQmkINm>oMsOKj*g`>zyY$;NM3*gy1!2Xs36O)?QI{~as0 zmTncGQ-&N#MbWqG*yx;3U7hZ%4yjW!9}S$=X~#c}`H|fzV<vW|Pb+jXnZ>ArSgiwz zW11hOiwSet!F6xhxEJ({Dd4iD$DgoYM{SbK_FzE|#$*=z(6xRK2A$|wbS~iLdQAL} zCHkFaMd(Dix{Z7>xx3JV4Cq8G)xe}N{b~dygHFVBAJ}etnn5R(>sOpq<VJ4SAR0pG zq;gFTl1k7?v6QQ69S5BhL*GLulR+nwL8m4|hw_oHlg8}*mhR%9Q@%Gtc-LgfVjA4K zEE#nA<#vC*cSEw6sflQYhE59?bm8O5rHI+&ObyT}>#9~fGH=S57p3mGIwkudq)yF! zG;mrcx@*wg2Axc1F{&W;p-#j;)QOlLYUpG#=wvb`PZj&nwSEr<oy^*RoBL2F%6+I4 zu@7}3ru)El+tUm>sa$-W6pOEuV)1oSEWS>P#n;JX(8*-bDZ@vF<4%8`($L8o8X5Q1 zq?CqE;d4^QZCRAk(CNt%J9f^_l!i`E&gG8fdrh56Z4IeYiw|`AIaw-^uKQJ<_l5Hc zob!wCO$MEa<!SVQKl1Cxn8dD?c+Im<*N-uYO_`WbbPv;yF--=YOa`4y2Axa>olFLu zh}CKJj<4*ZA7c{B%KqiCPiRKP>_lwte|LF`vviTb>_klW0dz7MbW$vZ(2p?{Ynw<v z##HQn2mKgRv2~U8V@$=+_n4hb2Axa>ot~aeDBf8A@{SetW6bMM5{l~wpYl7S^kd9b z4HJvh*B<jo=dWmDcABv$nOO1JUEZXLevIkckV0fwe}m8eML))DwkxDgEkDqS%%7e@ zuzwOcN;o>13_1}To#!VOH-P>=8DnZT*&Vfp-Cwv$vVhBG^;p8nX8Tey+k*u?7<8h2 z=vwGxGCe!#9CV^wn=Gr?|N1SL`^CkM*k{EzvRUtclngo%OEF|8yLg>T2AzoMKCmUn zOsSckorqmLMt?1m>UAzM{cm#nyutSLp&TxDY9FKO{w^6Vc8a0zp_9q<?4*wcI;mXI z+O*KX#ZIxEQ{p7U#ZIvo-|dwQIw_X3(=U?YVy9ToKMuPWyFqawb!z3KPB1Ta*FSi< zmzvhhVpKuwlMi0*C3fV4mwSm_{ov(ZlWCoFj>*%)J~Z=tFs+l$1>D@&4_@x2{r36b z<z8ane(-WHF@3(a+n#1xCt~qm?p3w%U+z^b{>#0J#ecb1vG_0dnoR4Yj|DotUQsT( zMc3lS%e~dAmx=Dyt+?@W@8QPb(T^q<H(u`Dad3K6!NbLkmwQuXu&YO2FK)ctyYSbL zI<@xDsoMu{6woPYrggga!5amXYxuz%1;qRxyis5>t&`4aoix)rX{L43OzZUKgEtCj zzqdblqkvf658fysrq5UFq?y)<So}8%RBik>3KWa~MuB4S-zZQl{u>1*(>m#6flkp` zDo3~IT-tb}p!@0y(f{+8Hr^;$XhlTtoK)I)qu}P!*-<4Amp0xgSXX&<^{=j%Hr^=M z`Flv6+IZ-+;Dg7QbV{0OopOHg7?X12KX{BuY~BZtF-@j*(mAb@W?CoBv`(67ol1T1 z7?bv!?Ssdd#M*rD7?YSjU#*j7S|?)hA7iT8_>VCai~kr?vG|WM6^s8E(_~sFeJs$a z!2e1_e|j#`c#Qc^?qbnHFGd=VF>{ni9i8A^r12QD|H#QvW1<Tgk1-R@`MUbQZ3`KX zF@q;V>eSXlrxuk`iG|m=oaFVLon~66i^bB5o{fHxImXn*scOzFV(#z-RO_;4DRYSn zFF%va_FzE|#$*;3J6-GdU|J`g3%I%ao3e_`4QS1#*G}hFXB6fBS|QmSH<x~5S`iRi z<n}_B>GQQcnAVAMfeo~N<VNo3BYMtu-eBG8P)@I%s5VytTEir&q0U$DSFfEk(>iGe zok%-kC-eR!+bd?Y*QMuX$@JQZa^HMT>qotIBKAw=?UL!W6S0(=_PA>&>wHL^+WF{2 z%(YXi-ucBZ5p+kSb<)gY>eMfFEF!*~K!?CwR=sg)5xbt2zX6xEs8UfRE-^zg+k*u? z7?WA(q-*^iOzWg`0XO&XN*PgW{9?JSb-Hjy{-v+<>m}1VW!PFsY<NyXt##7pYrE}f zrgb8=;VLa*xsiL7pO(a0C(6wlO*yR-v4$NENTzkt`_MXRrghRx>qP8rTYAo>bs{!x z@oveqPQ(uFq;t?Z5qms<mh4(5Vij-x>gtsHa!8%p`)J@yojQL}QY<K-zhoivHM1C1 z5W6|1yy!lgx`(-}&VXuS&aRV^1zgs#V-0bxs{WFNYBdXb<e03-K6K9S!L&{~7jSbg ztSFIbCOx6oI$e8SNtDU0zht3f$#J@@7?((Y$zq<b?Y5`;K<h+o+#|Z#=SJ@LGWtsv z)t-MU<+M&zo1@Q5$+S*-A6h5Pv`(5qr@8|wMF0L@330sVW7!^bx{$D3^wqZ|L?`EI zH*|V)I79TVyd}kw1N86!I`I}WqXzdXDfW$dA{lgAGIM41MdM3~<WFC?I@P-oQl}0+ z8aS;}`2`F3@tOHW-f*px$t*?{#M*vVL_8X!bt1NNNNJIMjn;|SQGZ3zy|C8FWYEcE zOr93@p=<pf3_6*$0XNq-Nm;S-Q>_!_TFLLCV#Bmf#AaV8BvSlC-)k*&Yjq#k9t=8B zE#*@DrFBxQZEmfTV)ut@ofKQwTI-}3`W`x&3_6(%I^CQ#jt43g79Cq^oqFUS&l46c zEbh#wFHfM;#@3(nv!e=$$ZcAu1RG}XWortGCLe2^CfalPe|-yx`9ZBypL-#7>iB_9 z^hvsrt%~S)^@=<MeX-LFI#I4)S|$oLq~T(WhM(Bc1a(F0VRZctxa``)Mq=p;TCdn1 zEa<_Y6Sb#np_9q<?4)zhiE`uS)f0c#+a&j^XQ#f?YKj+sa>?e%KRD)9y`w};P9Fj2 zM78>SZ8xVGbW*vR>*=v5wTbp9H|ODbxlMmGD^QzqdUm4RwS1Q()3cM_hn}4@)3cLi z&`BN3yga96dzhUR%hTh8WY9@5|7XV}!|bHkluBnL!|bHkv5kMav(uc%A$98HqZ8J% z(}l?^c)A9~M7v2BWYf^eWEP_eVvC~6hyss(l{x0J|4LRCEwa!uFW|B?Iikg)B}*i; zJy_6#F`30abgkcmK_@yEoeQ|R_4}%b^Y_=uZRkX~1v|@&f5+2W0y+^pIlq)(J?L>F zbRwqvz;@fy3_7VCYf3}Njoi$+^i~CQQn|c$=`B#`q}Y{%G=$JeG4wrjG8uF-8FW(Y z%U|gY3h1O*&SbO>hE9rgF8G^d&`Gh0mq;<_q}cB*&bT^ldLB}z&ORDAt<%f5&3Uv> zeiNOpgKQc)napBTQLT49K0HrxvElG^nPU#S7gn3+ipU}I-Catx4x`$gA7>MPHk~h- z?ZJW`jLEEJnYDfo2A#}Yz{y=&+>mElom(9FWRcv4PU~_s<b~>#5O=E1l?*y%Ue%bt zh$$j&7M>s(bTZG^cG@!;bW-e6&XzL6jokgC&Ez(8Qn@V)T1W<+6ibw`wPesqG4wrj zG8uF-8FW&tN7kmYJ?Ny^fu#*4gHDR&{j<Jg&`Gh_oOI04NwGZz+qgQNcoR~mE<PGK zty8{?7SFpjC-3`NE7>%3GMUAwVqeO)adT__%D+rb-N77IYR${I#2XWeT!q_Ht;47` z)9DOiN!z-T*&ZzD!I;cimRalfV9?3T1)N;@o$uqav*hBtlg;HebjncJ;yYIV&4=Wm zVTDf9`dB=9!!>+mkh&5&ndfUe?U@WZDYkreW0~Pb?#Cz^Lg=J&!;(@CIw^K=5)D6e zQVe|$olFLuOa`44i=0lHKqtkfhSiY_Iw^LuVJ*p^lVTHQH;@cEDK`G=X0A>zed|O0 z)`PA-8aS;JD|(-|T#{K_c}3j|olIsis@Qqy7O&7UO4NBiL*|&nQa`=HW7ifD!S7d6 zt;49cbC!Z)!32G=Gg;6h$7H>1)u{D*Fz96F0#5Gff;+rwpW<R!E_!GIovydL!;2J) z68C%1ObMNe9=OZvzpWzH45d2gMD6K5u$}fy2Avekn3RTr8@U48>Ei>PRPOI_G}O>Z zvFdM0JLses`W`x&3_6(%Iw|&zkJN!qioKs$Lo(>3SjYWLGU%k(izIZ+&`GgpsT;dG zWlkPaC%=ydPU|$GeiqSUZZc8sKl)TdCzDx>D!zG=N&IhBX%V@chKf0CWy(w<X{iDt z;cQYT;4rG)Tri)omVPCf?ZJW`j80YltyrVh@4=vxnF~0%ul7WUY}X@2yT87c+tBIP zZzIHpLuEzbwX-FIPJ3%+7Kw)!6Jd!*O9q|H^R=D!Oa`44`#32n!HwLf+v~|~=%jLN zJZT4=6r20Dkz~+GG4wrjG8uF-8FW(YA0H_JofK;|sitJmNwH1)V<dx4iZx0~#|)hm zYmlait5c;kA$9u5M+2vI%D%dbn2;<HKQgGJY#KV5%wklrrBxSk<l`N@l5=5W4x4hW zv$)siKVJ2IJF0aU)z-@wCRWa)!?!(H(1S6VwJfvN@4=vxnF~0%5o@}LU(zHHje0bb z+t8`h_AVm9iHrPP8@iA~r!l;XXi{JyUzDniWYEbxU)yQVWY9@5-#BWI8@cqw>4FNK zRPOvUT4O;c#fl82{X!?j(D%^EWYEcE&`Ggrqv(90lVbN@ld{lBv3gbLBLJNgyD^rg z5a^`XwMlJVo%|U?>eS6g1E+P0y<Ao_|EnQ8cA7p((8**LqYBZWym(MO4KG|VLgtvm zVxE-~m8Re1`I9B2T8B~X>F(j;(~r-~ZQFwdJs6YqmSxuZJs5N{a{(vUtU`H_y3P|m zCi64dK6IKss=O%oa3-&uFsaNyr_)Kxi}tzS$4+dOM>6PSp0DlhSN98aQn^Ie=+n=Q zT!t^{;{%;k?qYk&K_|tEov$q!bW#j`51mW~olFLu6r1r^v}_MLDfX~yHOZipVhxs6 zkqkO1cIzsW3_2-x<8B>Sr$DxlI(7Haz-gW8e*27nGHxj=cddzR8akQGlEY(JN56c< zcO5DdS88f9nPU!19{GyrI{G_rQ{xZ09dH=cW=NSzd>{R-+_pVf(1X!wS(aJr_h8V; z%mtj>nS!tQXVWh5GJ}O|A3DW|SNyA&4S1VNHzk8kH>bbkduPv&u3b5^tXt^rL-&F0 z!FC$#<41IX;RgG38EJCfV5~Rgpp)v;xi@J&1)UT_-$N&pK_`<zC&m7`N6JDc#ai`e zl0hfMHm#463_2;+=n*Z?p_5__UNmrZTAL@NPCa}ya9XFw^2YwZrL9@gt$OWbGD{AH zW#zfimaofvB`#Z$Eb<VT!;YV6!+*|rn%5|5NfvMz)&5W?l^Dg&$Zgw$1w9y@zGa!U zeh&tn%v`|9JsaPaKdN+%mmL0Bwhx`21={i7bC2cwvc;R7R<z*}!>;W8D@y@c2c69G zwcY*det}LZSDovnxMGb5){}M6NwM%sdhMiG&+U5cq!{`hI++YQnG8B9_Uq4jDXv&# z6e$Ls6#IOPUOOq4i<9oqNwFNi>81E@ks)>J>7#+uI;GjWlowlnkuRv<Q#Os+$z+xs z9?NQwY7zgfej0H;_Y|394x6{<Yo2&Xaxwci`s4>3MzsUJPbE&*qMYr)f*uSynYGZ# zWYEcE&?!le#XPJ>nD{99Ou1j^)VaiBp1p6lIGKN%WSE^sWM9JnxsgJ==`&t3=tS-5 zK7dXpgHDPaY12j4a{0%y6uXqTliY?*img1>Su)H{iv8P&&I_}XV(5G5WHRVvGU%jO zs}}UU5VMnF+fUQ_3_2;6KAax#V0Kb$V;fp8Lnp;Hbot1go$eG5sZ%c>b%NIE&AW~~ zb(1Xo;0!uV=wvdBQN{Bv9r%{R+xWic)J4o;ku%%z>iHk@1!<@&0}i9wf43(SwMUcr zwg(G(FebB>W!BR1e8`}anF~0%_d7cBxBLF%BfHQt89G_Pj=WOUb3DQEc9KD-ZCN|< z-jf#drwynpp_6&Ow$q-;pp#;67twPzZsfx1x0Tz_N##zZqa1WntiT-FFLY82eGi>X z2Axa>ofMlipEQ9^irtQ&+XCpMSj{%gB!f<hU0FohK_|ujTG7eXDQ&rsI`#I^AZeX; zb-2d|<-fxRET>N#bTXO6sN(D=w|HdrETZ7u$uh?r#-82alZU1k8@td$fq=uPHbvG9 zVqZC$5o`|@^k7V8Ez7L+dobu^<^oQx#;M!<$HN&#{YCUp06G<4ahv~?EQc7Bb-HBG zsqU&f{88x);>_7Gl0hf)d~K&alR+oNR&5}4xRKk|k%kpIsobaeDF>YtJF=1#gHDQ} z@1c{)pp(g<lVZi3-?<E(6q{9q)PYWl-RnbZW9X#V<PG%EgHDP~+}6R>sZ^DaI`#3< zz-gUkrA{Gs3_8sZH195(hE6847*))#l}sGDky>m$GfC!{!@4Y%{{mXslp?`$8p43X zsJ3<W)MCtH%Gn+)=)suGT9#Ss_h8V;%mtj>o(IXqv9YN|(p{tubgF$OnfTu);o{s$ z+J;WA>LnL{4^A#N{H1j=&)0VMtNR5ysoa|`G#hgxmnt<~bfA;U{c)CNBIu-8{?_!d zg-(j0@1c{)pp(g<lVTG)w3F>YC&g}EB2A!^Vl}eSLksAn*yS#yHgr<#Qm?MAPVHDo zo%;G{;IvLJe_*27;QMiB`}C4cLno72j4ICbVxrQNZ~23KU1g3rY>JPGFMhtp3w}hW z6mS^T4mq7b3>!-~u(k&adN3xl@;f`D*6+cflbH)Rx$)bX_}uq5Z+e)%#DGp8$-e?I z=*lnr$q||*pi`~=Ow`*og|ACO!@AI^HP6@fU^@+#YB==)H(2%pv<NtFuxk%!AJ9qd zqg=m_B!f<hq3@xS$)J<Tpp#<r29vVTNwMco>3pG+VlB$hg$+6>_HY<|ETEHO_s4c~ zbsAYGq)s3EXyCL?xu%yCe~mmD{o*=x2Xr!-#i+v9x0FbgusDA@uDr}Khi%GNO0?*5 zf~W18n`#|KwS~te6u;z7Dw*xUf*y>?tYw+Ceh&tn%v`|9{Wes-C6NA49`;j&+=fm) zzbPf!`)2X4%M_FhI@M@aN-RwNL)?|_)g^;Y=K0!AdnSWUiWPrCL&J?+b(>}c=%jK9 z`%(@%Dc1USJISDvV(5G5WHRVvGU%k(Pxon^1f3L%7)T!}=%m<?AL#o-=%iShCp2S0 zC&j{EwRd$|*eIk<pZI9tv`+a_zTi<KOR{s>^xDZ}7Nd%P0<ZYql{eyQUnwjPfjKNP z;uSxCe?K2TCADM$hf!^^TnWVPa(~Nh+k*u?7?bt#D`2D6@4=vxnF~0%`u$$<qt#FF z`^l5YZRlhld&Lu79KdG`A;qB6_;)XPaM`-p1I6iM0iDeAwVn1%2AvcOD@>n$Zsc;D z*E*@(bzAGCSovIf?W7p`9y*x}I++YQDK<YpDFK}nd$C&Uq*%+FS|`OG71C=b#U7N> zYbV|!q)z>OG;ms{gHg+Ps{>D?uco639J7<jEJhVeO4vM8uLxeXNg0`A4*PoRa-O-# zA>Q}9tW@hTs{Q#$0+A+BLdk3o7W80DW-ZIC^?NYrWaa`+u2?0TAAf#^*BP2#ZbPRz zGi|<&PvT9k(i3p#bl}=@p0LQoxI?q5N(P<G^R=D!Oa`44i^$bZX1I}yJf@f8D)(Rk zX@}WKvFMDn#=`8R82TPMnG8Ca3_2;cJS!;yofJ#(O*6?bJ1N%rPrVdZ>{U)WX3S2C zy(rkxot=X1Lh97tM+2vI>hr}{yh8QAd3aZP%mtlHW-+R;VrTPInTm<EHAcuBbJ+6J zGx;O=KG9c2^irH^ueT^I%9NfebGDN+S<r(qnYAo4=l5XH$;<_u-1wYd@`%D^M9tsy zQryn^B`<iToY>l%{#Ffi3d=Q@N7TzJ8r|+D8FZrdbRXF6el>$mDp$W>6`A2iu6?#j za{Ii&a^0vbx1p1&9o(&&WY9@5^gVPk8FVrkbW-eO?+UU#=%iTLd-RcqPKwPgR9Z4z z>=Y~7ucBnoNwLC1tGhZ`T|??Lz()h8bz0i8AOC1=C4Q`d*2!cRql$hbKjw>b-r=o= z)01B2u#Xn@<|S%p7H@p?i3>Q4YEN!1B;tn9SB|y^3wkgnvzBGn`aKwQGIIeZ*X_n9 zJmtI`qUl{)OJH`I{!u?3Sv0xG|B8+UIt@M8kH>ua3-5fMUgCgG=K0!AdnSWUiY02N zby6%tQmvC>7msV56f4$5>!cX^9y*x}I++YQDK?{})=9C4XS7a=HOQcKQtVb+t&?Im zx@w&Y^$e-gKpzd9)@kmEn><zH=X^&^t&_<tMim1NUFH8JFD*`18!fw=Ic)9eD}3Ly zQsUe4b0rHnjB3BmT1HfONVA0P!GazPI+?Z5$z;&UWYFn&rR#ji<FcZ|&$Hxyp;Pvf z*ZI47l|;9@6D5OA{c7Lf#TP}2F`MXH0O&;R={|r?CWB6jJ!qzNQta(}8k+O+k7X&g z|2M6ZVj1gdofJdgLno6#CzC-Z#fCM~Iw^MUnAS<LvSC^$#f~@AIw^Lvoz|(|Cn0qj z<f9YTIvrn?L!5i{7k|1y>tr&EQN{C1*~GVZBE|ZdLuHpShy8FrtJw3VnE3Y|y;2u& z7}ZX1R7zyLr=L5SEa;JgPG$}|nG8Ca3_2B>l3gSyTS`o<PZwF}R8F$j`AdtQb0`Cy z#wN%i2HwmrzIsRPLnmra_kk_BWtj{*DOPxu)=9C-Ei1`7=%m>DY?Q;rPO;{TwN8qm z@1c{)pp(g<lVY2fYn>De&s$dR7Z*Fl2Ku#5iltnoby6((2CdVe!69`T?4!=oI{o%h z197WEIKLW8OEs*WOlC2vD4VQ-=<vf4ezRF~nPU$7bYOkayJ`yYPjow~br{utS}v;y zo}sTHZ4VaoU`%E$%dDm0{*XZ@GZ%1jr8+kd9qXkQt1~o{+t6wJ&;}w!`=@+CO}f*8 zPU}B!AbKSDo_|}CzKUJw)SBlDolLgV$VD8XFOaywB1hMj+t5kXKB!4K=%iTmKK(|4 zV(5G5WHRVvGU%k(@`KdR#cHU&qOnZSfJp|ORIc+EQIgd&a<6{ZZxpE9i&OfIf;l5X z>hwP!?O5wnYh@+TvU<AcMW4`}4s<e^#i*i5t;!<T$fbO1s{%5|99H><N}^QT)M8)_ zdae_27}X9u94V6D375?FU_lQ?r*Bzit>1$|Co>mtazndT7SqOsixstV%5CVhU`b_> z`Rfb3)=6T}=~S=EB59yGZxl_(44usLwVn1%2Avc;KC+z5a3gmmk}fdNN#(wKOtS=Z zQtZV5noSbbQ0J@r9y+NU#sfN;3_2;+c4#Tt9&}P{*YjeMK_|sBmM<z9bW&{dNSd** z6j$uWKt*>czG-Yoord`6M6^zKFFxlr=HH8+oTr3r8akQGVpLHx#VcNR>vVptPngUx zhow9Eg0Ih*L43c8SioUaJL~f@VtltZa@+P`K@Y}cy=9rTeh&tn%v`|9olgFWXN$=y z5@pxVo!YE_#Y+@8!+WeqEHlt)NWxb<_pzLO=}&1TgHGo8+U|aJzd$FI+fyP^X1I|% z@>hPj4V_eO?rKsNIw^J|KRvgDPKu%Lp_9p=lgXfyVzr9olkGt##a3^~B^h*5%=dQ= z$)J;B%SzBOLnp<SRw&}?bpG>@It}&Fz-gWO>{!kpCLR#oCY9F7WEP`}Rc%-BeC1d0 z6`M24LtqYTm(b?Zvt$-8hh~*5;4rGK-LahLF)5W~wg(G(FebC|L4i^0_h8V;%mtj> z+7T=G)K7AXBvCXgVs^TfY9)`6UtQO$Me0DO-ZNM5k*%Ba|0C?IqoR7=$A3k|=52R( zgJPnxGnlAv1G^U+yTx7<#RLlh2^TRzEbL(CvAa9h?(Y80Gtc+!e&%;LhdpQixG$c0 zX6Mdp=g!RDU53Qwm5g-K+iO+%bVfS;$L1Gs==2|pI_A*nKh}GZL#O}PwtpNt{m1Cs zlTJD#opeSz{l{|Wap?3P8yDu#=|6VivO}l;*suZ)o&IA(N;q`-Iww_~#yVlgIdmEw zz@bs-5z)P+hu43jlg<o=CEg$4kks;oa35J!#xccCrS*dJJI{z5D~n@U#lAK4f~Ea0 zh?vW{C9|f$?20}4$)QNciz3@Cj3b>UcyoBS;j+m05*g{F=OdkTMmjyr<pn#F&WczI z{!2pAY1#u0Z>FCTIfKecMmnwD%HfLXxM-1FO)}C+Z!hVjGtw#VEfZuJw?ph*Tw9hE zN;_L`6WmYQEDEiyCD}E_KGpPug>7R*nGzUBqf<ye6AU@9LFBE2{~er0C%q2RNoS;! z&Pb<O6~2k3$(10!71lwc)5N3MAjVt_W(>gp!d^o@4a2oV1*qLNJ@kI%E{|z+`Z}i* z<o?xCR2hhI?N!{>!L7ik9V&LUsq^<|>WeQ-Ri|-IScyZY<a>=FenVQ8?+%_`y4dN= zU|6Dk>&7r?={Hl`Vr69<Q*7+MMzHbAQ`3<l_}?8ZiWRNU2t?hRrc(RyR9I7BcEz0P zHiDHSu9_Ac#5kt9A)r?yc>4adY28I+X2tY;q?67pDlRds5!7h%$Q0y*|6G=I%Ie%0 z{2IP9jcZs;GScbW=*Dn=`Y%(<eibAmo%HrvRX&}OPRnL`Lr}@etluL%S3<?@+}j+c zjHt_YK1D`49r(8u)DUJ?r!ICE=`?6g3t-%fJt=_QOgiaxkWM<o^B{MSwLT)9eCF4O zoP~Ob3zJ-BOl1{!XfcQ5>GOy*ovX-W(&@v{CXiTuX0mf+CCNyq?91xHw9b+2P8N(K zox1E}u<ukK7Inw<uTE@PsydB#!WZb!scl_f7+%vZhNgFusYxfD84OEY_Va}-Egy&r z#j!a|u@Vu!Fd@$q(XLruEUQ?RqrQ;2^m7q53jd+2H3eo@%yp_S<gWKZ<erFeOm)q! z!)Dm^@s&uPkIbx?o{x0WnMK9fR{6s7XHP_M>0Gib=_CSt;bOH%B5idXu}G)OJ$#|p zfcv7+2pq9UC%wH^l}~4+(}3T-;9=BBajrIYgHUl7xA%e@9S(`@-q@w2(*xEE8g@t& zg^wd6owf(}g7v*@qRtI0OFHRwkWM-yopeSz4R4(nrk!dGITm6*(y3{U3b5&1EjT+H z)ghh6Rci{HMLvkUf^Q$vY5CCc(DkZWyh^Sp8R^u-G7LVgSR)2qt@2kVb5yE2`8yf% z;n3-8`P$%FVwY&O0$(QSq%%Wx|MYydVMq79;_FcyiI`#q($|KZEp6iXPwak+VoC36 z$**i45ElmimZ#gA0<$aTvbPpY>vK@N8G~_5b<J(JTHqdjSd?6X%&eH6k95+RMa6Y6 zYD3YALUg;8LB1B!DaNHXwC=E9oV=SuGScZsq1v!#*dCETH~#Nl(n)WxRprwe=~OkY zHq7M_VsFlpvaC>XW4_mh32TGJbI%fzkxsXQ<bMp$+FcYbgmI*knb(0Y0YRePePpDQ zUI*!<Gtx<Cq|^C7U&Yd@B_VD$)=N6ws+I*R-pvDZ<8U-4omz*Mgc0e#i8Su`KZr@E zkY!EbLj_MU?g7S;PM@-K=$dz~sJNr#U!7*JOjV}|PKJCqbjo+LA^4X_FZMLYW|B@i zGgSAN7|{^QR?i|1PQj6gDOM+)WQjRNmi>4tEQ)mq^MX%1@{4i5zsb{WO@Y}J+c?V$ z3WgUHO|pEKaZGj13i-QG^IH}Z?J6NNE2ifoopfeVarvKl!PYjpg=q!;ZyD0b;?WSw zzjG1imOK7a`B(XiDwg4yMDwGLe=V)I*Q)aAjC2~Ypb6|X1>1_G#V!;oE=YFGv|r6^ zm!pbHMmm*uX#sCs|MjeR2+t|$<k_Yf<SU)SHfRnq(n+s_bkZ5=q%+dV&8;MS`T0l; zS%*rHPFH?bf*8vYQ7jrqW74VPhq}-q>s&GR2mU8@(&_s9MvykVsVUu9jQhXQ>1bmZ zT{EZ6(yI7hoz|^ORi}wghI}}5S{BkDP8Q8zYTLWKOieoJ%uwB*<xf8d$$ZbVO&Gqb znPMY{_Jgid)_F!=bHTET9lX&OdOjHEdAl(FD;sMH%&u70dwrqW<aVCEr7@1FuJL@+ z7w*sd)Sz~4WM;+me58}kEGq6^vwq-GJ<7A)-Yl{#=`?3YKRCDRkZ14hIG>`?scEVH zaJ$88&(3!2hHzC@Z?824Mmm))GYI+)TxD`Dfagl6IG=ulp>*USQ;YP-NT<boIJD@M zlg%lN7ah{+a)Ti-KI08jt@3z*A)WMkGfHk4IwPHQMmqUjY6~BG?Gl?TWo0?isrJS$ z;C3rStY;WQI(^IB2S&ZhC^EN3jhm@Dst@Y{(VNGy-{nflW76qd_df8UQ7#r&wd`M= zj%`d;r%6uuq8&P|=rkP;9SRqZ0jG_mlg<o=CDxgzLvU=QICLAY!AvnHzv(ce+6r+p zJt}5VEMdfS`0cz>#JOdc%$fqTD|WBLblB@1CmPnpIHtPhT8`=9J93RU*9w_gF+CsY zq%(_(`#ESjZ1}Q5RJxBBW76qkU-_B`MT>fG@Klmc<9kkrRwtK>{8ezyK|1N}wW@qN zBb~D6nGS*b=L+9TxJnW#E;jviI1V$#-Kxk)r=BkZ;Nr!>;*<rulyqwPD**0ynJ!Aa zK}I_1b&yUvBb{_cI!!Os2nvfD@H{i-Bc1+)b%4<WO2FuIxGX>}_Y1!bhqmcHi!Ntz z%1%0+b)Ew*OPkv~a^ZZry^5=JVish-S6P(q=Kfcwx7$+HX|fYm;?Swtq#(%E^|9^g z9XuVRlg<o=CGwerU~Rc~wn}Ns%Q&W3?M6Z1eB`$+!Mz}sRcuYUAZTbyC$bN~5zCqa zvny7=a1c!Fo<V#aj&V$N&CcJmAn0i}(PS1fvtoKa(n)6)6<4Z35RAQPh$=br$+DzV zQ=cH{^ZkqMc7D7#kxn1`%XWNuW$W7pM-I|SZ?9G5(;4Zsz36Osd_K`O@oRNiR;W0y zPP3ukpyjqT3CKvN5$WbY-^vYa>oYl4cD<&|hCA&R*y^rz=%m*{I_Zpb(i!P=CZ;zy z&v$_mv#?&$DW>!YxODZc*jpJjA)Ts>3V<4wqr|PWRV5>xntuv{@7w=j%?lwTou+M_ z4Zl9E^V~A9+FzZr?@d*wDNcrbICPp)Y#huUZ5J(W;mahQbY`gTKk<DmY;EyC{8Jg{ z989sHXUBra&BtQjBD}y@6nnB^EJVaS6M^^s$kT02f!P&{_8SZ9&O8_A-eDY5UDMGv z1~MIeB|NejGM`y7Js;_$GmDB#dt@wl$2<|~CS$jdP6Ho|g}3=0iGe+HN=7=dbmL&@ zxclP6P{&kUZ?9G5(;4a1M&_Gl91&ehl$7~|iZlHh3$Kst6Q=)}iYHwf2UEVT5T;kC zF^x{Xg~mbYnLEVbt5}vsC%q2RNoS;!&Pb<DXDh+)(X9buF(2s^{LB-2b@PNnBa2H$ zI;B0)9ahaQ1li{~rs9v@1wvI@OVQ~wGSbPvVgQsK7%MLNI;P@vAXS~FIvMie&}oia z6KFJLwK#GGQ<F|QGgS9yzS0<Wc33ZF7sQ1)Q|!dp#?ZrgqqsI){cA<VY7}V<buVlY zZGt|?(``+G*%h<CZUoN`Zx!8_VjNRlv)I28bSSr7Jl%%OteBpUbkdnc#eM177%pYo zByM$dlCO_+n!Tzq6xo#^mNvw0A)TJQYz)^u*NK>3xTK)bNpG)J<<lAIbp1(F$m%~s z?Cpmt3Ki$Jxfyg@JzUI>!Kp5dP9CdTz)silqE7<Gkxl`Pyy3~`UZQpjoc@wddL5*b z&PXSnkxmO-v%}uw#h~tIte14ER=+50UX}w&e!#ap=~VNFJDB=E7i+uWB!EUIm#03^ zyjCXhbT`J4PBmM%f=8kKMcU-Te@CazM^n{lnv)?P4xKtzYzLQrU$M1%iPJLDNoR)Y z{u8%+pw8e2winOwV!{*~x5x)xK7Vf;{3;WcRSX*V!07RRY?;6Okf+<40<$YN+RX<p zA50_er~4`6nChDC*?gex4QCNl4w+doJs;_$GmDCAHpK_J`FysW184bKNT=t!eBe~| z7q)Fra4tqV)p+Xzlh59@z2n#oq?6uWtIDS{(y4Trj$j;aY&&tZq%12`+$yh5AWFYU z&NUPn>D2FKSI9KtndiD4*!85-kBptcG<#NZ8((CklU@huq%+b<XQY!y26tF*JP|*) zIW`K)AFB_)_#qMTKN|&g8aIcQji-wTFHvLC=}rwF$TBp^6zk#GDBy+LgU|go`y+pr z_^Xru=~Q*HI2rQc&?&|=5o)xKu#Fysa|zN(XNKzjs--5v)-18M^R4hDFva#{od}b> z5^N>habL%xShmL#AYb()+pjV>Vp&sQcExVpm;kdf?6TFVig8SJO_}`@z^&9F+eI&A zX2tY;q?67pD$bH_BJ>!YXd7YRyo+?IS7;*K$h5|Gs~)~HNhgnr6XEX47~Ap<*!`rF z-d?N9r!&&2(ZI<ti)FQ?-G!?&q2lgWnF4PotxKLb4H@ZVj+zFyo5p(<FNM>6(rNv+ zDR3umy=1>RIFgV~dL5*b&PXSnkxr-W9bwD)A7bGbTpH2n6!Fs+qOxBQ`$aj)XmncO zG!pV&nJ#W0DkB-`G;Zv8_*JDayVSR=WHdT$m@*MER;g!N)Uv`~ovasA)hWQqkPnAW zpN|H^h=E5%fq(ENkxn`@RQFdp6%2mGj*Cntye>1v@}CWcn}bdY`!t-JSQIOIAsEKz zIxQ+B<0xTGf!P%+m=p~4$DR=@j$#~BT{EO_F!XzVUa-5!%!=vxNGF|HRNOWBS{6Py zDZ+hmkBM}OJRJ;2*$I)eCl2bQQ>~N1P-f{dQDP2`#-x+pUaQKdGt%i@w_tegvR#zC zk6kEKTzKPP`I+ZN5nmA*>13}I4Bv|{7gO4xVx-e#k6?(X6ff*|9UBFD9i)@aNGF|< zP9JLffbZ@O5VQ*OkxuUQ`oo@k42HKVFB$1%444iLOXLHiL|Ms5rym8vAlCfaw%Lw~ zkxs{|Erp81r-%ZB9Xg5Ysp>S{$&e3+PH`ERLg4)_;(}TYkWM-?RQKo3xfE^|=`N0z z#^x}^CKg!=$9ne?OG-LEWSLNMDV$#ED+ZU(EaR*yPG@$-UT0qlmn?ln&FUD(RM&ia zumnzR94t09M`l(`FH1V<%%b926k7^iGn+;2PpCHOl)1oC7!uz@{3wP4J?XUPpQZ4& zeK*l>3ciC$C%wH^l}~4+(?VHC#>Ndqu57sI7AkIYrKQlni@O+-h^r*hDX800DB_=6 zY`TamEYj&xjivBCwz60fg^Wfgy$;ezXQY$PNT+T?hr!}I)u3Sud@ZC?)6Y|(+1P>* z{tS;vr?W%m!Ml&wg?%MzM>>r<zYJ{u1emIKKt?*fnY#>vj?cB_h<AL*^7L-1I?Zr0 z<inv;myrRGb5c53*-I_<)&H~8nW4JBoo4{dSm6wAfEN>{m~XlONNAi1%6g`e%%a%u zOBQ(9Eep8zej!h{H3eo@EaN5%%=(c9T8+jyrn)9WYYPO<%?972k(m|K^N~(Ev#7Z6 zFBT|xEfY-ahVw4csZ}w#|MM#YeE*X{zCO~aV~YSNk=_|P{l*J4>7=*Us`BZKbQ-cb z0L%rSijrM${wP#j`9}fJVdpLJ)ED1Uq*Kv*)4`?pZsGb68R=9>?x}T8ds!5DgJnr4 zy$;ezXQY$PNT<p3s=<*N1K^k!UdTzOMT48bfWQt=I33nYI;|@(04hIpgNDwzB_o~2 zteX!J5rJY@1!Sbt?{2eU#m7UUur1%;i(SUYsp=HyWXOj@r+0H|LjL~i#h(p0U8T`U zXNKzjQm1Rk-Q-Q;&38N%OtGJ7YrqG;9l~$VYk6udiv9W59oDgZB6iYM$*d_byJC^0 z++kGF{URU;<Cy9i*Im`&dNZ3SvKpCLF+CsYq%(_(J1+k*My6jo#fxC<KGNw|-x}ci zeXA(i0Tm;ij{d9xl@k-izYVbaNGH9$R+Ud@q*FWj8|u{){l&wg_?8kXE@Z0**a~zN z`8#BjjC7ipi$Q*`@3seOPmOe%e7qj?32Q9UI^o5bbkge}opeSz>5O#R;F2B^{0c&R zAl6Gd!GRo*E>AWX5sVu*q*J(e891@-k?5NpM|{$$!aN2C1{V^i)F%j}QwLjpxZ*WN zbc=WSt5f-xsp>S-$&e3+PPI16d&SqE^z8E)Ehn9HW~lC;ChryB8fNjds+&icVxxS$ zq2%L`1~+>AlBd?9m|s#enB^S1|3bY-l37z=cEuXnn!(vpclZBkhH*@FjrC?T*zMaO z*?AB$vtoKa(n)6)6&F&=8!lh{Tz~ba&+?dbTC&3%?ldpyS!6Fx?MbH@)tkdMYp7>E zcYOPhPI`N-Dxc0sr)z!Nz|hDerlzy-TnQC-Z<G%d3;AMdHWV4@l;vk<*csA@b)1i@ zN7AYD&35oUb5?de7_S1PlU@huq%+b<XQY$U^#;&r>?-l-9*#t$)7tqB!TIS_(c==1 zI;7L9Xm1D=Z)}4~;RX-sRA7J!#Hfz!SrW#PPM6%9K;P*<O^LM}qf?vrsp>S#$&e3+ zPFc?cLbeqVrUx!KEhC+DW~lBz5E}^h2L+q@$@krVqti|QK=2NoW|}@2&9|tyyiEe3 zWY>YFf4k#|U`>J96}$RxAdD>3)3kXg#xd13ea(UJd1xb3(+Ff{#q@lnlg=zEF7wbp z7*KbD>29SA^0kmoZ9@WKN46kS-4Mqe1!pz{!j1ilOiq;@+n9QLtty|+NT&rx5Y(#v z)pVpYo-3i^+#v|&tjNL^jz>m1-OD&vepR$CyIBFJ=cLnAuh|gtI1dZiS57k0Nw0%+ z(i!QbGtwz<@_6`B^RO6G8;?n+#AVaq+k>TImD)Zfou*|7gr~XR+M1un6*=iNxXC1F zJ2#fKZ&F+`(y83n0C*JGhBZlF>hI_@;%llp1vwe=;n2y&H5RT#-xZDjICRpPp}N0E z@mP45>%K6m;Jb?{md_;?%5``oz6`}?TNLa3#|lGtKM^qrhGf<hm|d~Mx2+J@?3rk> z1LK(Ln)$P>Fvazi_;3!HSus5y>7+A@ip!Td7BV|M7SXLU$+D!=%)GI%f8PVqt|h)R zX>_VxIu^_w?}-`Xae5xE%IfX4roc$2KJTs2{NhPb#*V8(q2dm_wnAI`A(77w8R?Wg zPb?J5uu1e7gI!HJy?!gtOIabZzCe~vJ`F>!mvqt@>7+9(Zx~IM4TlP4Mna|P*l(oM z%eT{^Nr5g<M&4xd-{^GW)Do!PvI3ZuI;2y@3+rK(@xzwf!Ljc&;o};(pMSm>S=gb| z!r!UtG}{SZj6<h`$?IW3`}{&|!<R&(lg<o=B_emNhjjlI5}rZDWgJti^tSa7x~`ab z-PN&C5WQ|aTuLe_!s|QBIID`&nO(6zQR`v&uQK9PQ;cJ(YxYlF4}I%a6<7KoGb^T- zC7pC;QE~UTtcO2yiVLH(W24~U&h@Z)Y!Ojmh-0Im>Ynw`r%gdI_?cs)KyR;A<<lAI z6x1mmI$Zx@8`cufl~8ec=f}gJSI=xSDj_4CyelR^UXLUj<iJ%I>C|XbJdA&Q+xD~( zt^i3Vy$;ezXIW*eVd#u>@;(*}W46_TuSc+6d>Y1-{9&-czaZqUgDW-~ok9avf~(tc zk$(k_iloz<ZtKDOeHE4%URE+1omw1=2V1Qe&q5h1{vDlmrQ6_Azt;M!^_&bNo56?q z4fP%4H+)#Teq-F6jgI|Bjp^q<NB-%5b(-xL0OskhMMqb>&XZ0$GZ>agtQ7#?Hog}x z0<gQ7Vn=>ipy;hH;`~d;$}Z`&1@gW7A-_HHQl4(Biqn~0F<XKKJluYXDO)j)sjfNE zLFOxGK&jiv%!=t{Nhh6IRNS|>78vtg{wnWgoX64VG%J4qOzHYbIPb)+qS49PFaSCS zyc3@e;9DSEmDSs8O@Wb41Fr-?SD!N?cBEtO<dJ_mJgRX}v{{TRHqxnRjTx}yqE)=_ zigBb<i<Z;Dx^=JU?22lWPI|qhlg>ydosmvkir0pPaoyl%CCo=Ud0uV~b<2ChrI(JC z-N&we;Q6r>6nK?e#*t1%o#(;i86Cx*f_UQ&>2zU25Oll|FYZR=|Etrr%&F=$*GanZ zKcmy9mmFpX#fYT^@Pa@(>C8~wf76pgV%AmST(=A|jw$wfCWB7N@#3)=KV!2fmgcqz ze%F$>lV-jpnKcDwSFG%I6Z9{=MV!csair6q)+Wd}E=f$Ng^YC4^N~(EBb}OdWw5Hw z22sHEl`Km-4ZF+WWx!g|DA4fwPp4ypIIN$wQq+jW`5x({x0iI%8R^u(uQA+fGEg)U zIE@#w9>ZvRtqE+I*+N`#Mn*ctK5GGCwV&G7x57Ca>Gb_>Q;4r$N3>2xMmp(rkWM-y zopeSzo!gfK(qt+GLuz8Zq*I-UqHuFUR;ccdD^D7o))uM`HNM^z`(iK`=~N`51r&<= zWb2y;<4C9WGn&B_`CF$GvgG)ylaV7;o#r{=NpM{3CXZ?dV}379E_enlC!KU=Ff5Vt zvivM=%kAWsNw_d&ij9#wv-VSkY$x6Et^kW-6PC7xBQeaDSn`Qv))bgsvHTHjVcVW& zwlQuP$5huej%y2tGWW23@j+%*OwUI;>CB?y-2U+ab8;D5opWF1G3gW(<OAOJ^tO7j zc=4psY3@%SsMYv*a<d$ceJ8!WR+Ud@q|=tz&hU6;J5z^hc&>zs3!c#xiuH*weawiA zbowyY3^i8gVw1l*R(5cv8??`~+f=4FGSW$}gLKjv>7+B#snK{Q|7W00ygh}ZBI)!Z ztSJPvUoHmh#8HQI^2pT&w!W_*ZhdvE>;mN|wqtY+7SY);IxQaA2Cg;SXj<~wv9c?k zFIAo9I~nrf(CK06K<NDLfamo5_%cZ+of)e8AAFes-##qy^uK{GpDEVs^bD9$xT<Hx zFr5Bc6g#qf21MUp-XQq`-k@tuf!P&X7Bd6bnw$+>9y)IBWou_Z)-*HrkNO8cJ|>;? ze58}kNT-o71Kii-^4!u5)ghg{AI^ZGeFu4(w&FXObSjxP5T>4r_00J{9|7y_C7pCe zI%Tdh3+`Q7Y+9ZV&lTzP;odA*U`jGQDuRr3VlH!F+MZ0T^Xzhx(dbmXdk`3hj+wUm zl$9)<d>V#c2kE3U(n)7nk6{$ZFcOZ>x+#X0z&Rl4H22E{s5fAPXnno7WTew1PkBpX z!-~RdzvBj#vSp{htK=ZosJde+UZdP}nCMcN-F0%@pu&ozs?!1|d@&B4W=2MVSN@aY zsjFjUr!#|LiT6QK&^_t2$k!3yg-kK`kx?+b=y|bh0dAXF6szAO3f{(F6w8Ag_dDs# zuHrJ9q9C^FWzjCmale!I`$$OsdQId#hm3U6%aTqyBb`1Cj)Dc3&x>k9v0F$d=gCnp zXXIJYU<A&SNT)OlqM+f+Q)0<V$3}tPUeZZtq*G{g6#Oi)L-efUSlON17zMpAZ4^I4 zOUgP(r_DK|A$`Vh5t|OXo^-mL90f`C^`c5wWTcZ`2kE3U(n)8e)2>ECV8g>ckhLWq zlTLfXEl|5&OYpx|LNd~+VylI4d`uB2Gv2XLa3}35c(!xDZQL%${Z3W4#KPEr#|Ud* zhfV`arK(e~lXT;Mbc&i62U8YS5KRJbH9(`2&J5N4Yp2FReUB=lT2FilOtJl=;^1?) z>f&PqeD_-vE9Dyp)pFMoZ7Sj^v!=l8iY;s(2f?0oMZuaF$JB-6lY1QGs?0^fHpoaP zJs;_$Gt%kmusFCr$X#5_gcoDd>B59K=z7vsjPk}2m2`R^5C=W8R~8%h<0%hU_3G^< zopeSz<@8tupG#*Jm7n8&l2Bz&`>%q`pMKkp??Fa7)%IKsUvBTWb((<POge?dt%5vp zZ*8|vRFVwaCx6dMJNKlM&PXSnl~!fXteFjyve$$*ZL!}-r#e>`!d>TrFyai3ilkGw zDp7EL>nU-x1r8U@RN02x;^3dq94yTw%++487Z+DSjxoObz3-L#J9nC0Ayu71oUkE| z(aGoG0?0b$j1Z;OVqbk`r!#|LiOInW;N0DdBB3i@OqgP2sx5%wi*AVKE#ApfYf;SW z&V1-`|E~Dw&UMMGDKNWY<qpn=3#NM_`7OpV)iq70&WDfd9}3@MH{`KdF+CsYq%(_( zn_6fA_@%!k+;ijSeWcU59t$9#$5k=#7k<%-bZW3_0o*ZP5WiO91)6ly+iO+%bVfQo zs~rM2%fyQ;zi@RcRNVJtA+YFBv?$je8R?Yk$|CsoYPb-m@NGsq`Bq;D)kcSkO?e$t zalH=GNoS;!&Pb=pBRj#bjh(??EelAenpFou+f!cP*3U5&w`Q9G7qaDti0YV&bed9j zDO7p+$u{dJUR6k^1sxVc#Q`&fU9Q|44)h&n7+H;VuBqy@(8-VwhfXv1_J$1SgT$$9 z>Vl<o(wU*Uzu`Gw$ksbpG#aG77pGXMt7e!saG40bc3+-ai(-E7dcoXxQ6fj1lag6e zV0Oj6UhD;BGQ@~`Ju!}{uGuoX7g+aO#r+w`%!=vxNGF|HRNT)<GgPb+E`lR)RY*GJ zZ{rJF7A_W-Bi~9!Iz?sa4I!cPMaKXqum5z?+iO+%bVfRD*){-LWUeVXnovcd;&QC< zgS^3cMb2HQ1L;)BYXp?*JjgawtsY6IhUo{x`N~cr`(j*C(&(huK|1M-bkZ5=)NYOZ zKI5KZ(DfmfBb^R*Z3vmYvw{51uVgej<y_nW8uY#-+@E8eq|@B9{ozVnSzEy6^pcTI zLw5IvPC4@n|GOFg>U6GVsyZ!lGUUUd)7o~UAmWPHZ%L2u8oJo&%uwCW#*c)^p7WB! zZs5yeiVa&f0=AF;nH<;?7v~nmes3QR;q5Ei+}tipW=(<F6)Pcz!?u{3w$CPvW2$T3 zUL6jv9<;Pg8i35Kn4XVx(wRlYdG{Ov)wXB0Rr~N*9+OVLokv2>Oh=N(Pr<1@>15qF z64KP}n_Rp;c0;%-tGCyh0wbNCp7n<>^B0*m9l%jXsJM~kCPCPS!=}J}$VjKAtpi|v zIXCvDXl}_!CvjjhxHWldN_v4;0n$mYmvqt@>7+B#=|z1rgmk_l@~pv8k#zd!>Ht_E z=V#f6;{~5|I@VwW{O(#!G#`t@1?l8pqCa@BzRbNP<|m!H9vcdtgI}7GGdM=4xAjuh zX|a<b9}b=D9T&p>f&ZH7`a5n=(V3yTf2Z?8xVos4sY!VpNSR{acZ9&}MuzEooMWRP zP45us-fgdEmI{uI0-f1a*_(bLP_Ec&&u8@<8wE=yhrprJT|H|Jc5D>rWl1NUkxtcD zhJb19E6=#n_;pdz>GRzX_+2lL>G>yow~|hm3ND0A)oYr1E^%xW=<Ow)bVfR5ExQC_ zX5BOuypHFJbn+;%6u!MMSYkTd03e+TR0x9~?dr01FL9npI@Le96dr_UW2@TXhdZQ` zUI*!<Gtx<Cq*Lorv*5wDM`BGDd@ZC?nM-paYT;&4Y8}oMNv9h@A>cBms94nvHw8$i zar0-xqp@*p;6TSlK}@>^aPgletfIGL8#BLGsyZ!kk~aO1PR;hNh6WQhisA1aI_b<% z-T%<C8ct8#D()HhZeWTn;HzPpb*Cs%)UhkxGQ(={3EwMjPkAo8)vDrjW>?JmW)<A6 zwqNXCf^kf})2k(|g8S7$bUlI0te9Swbkdnc#m%n18j^PJ60hFiNJKh$npeX{`BjEj zS+T1~r`;i|A#2Ai!nYlc65*<>-d<}8jC4A`bq&llmWo1?9Q#gt3#^4@-{y*d|Jiq1 zG;19c-_ui6&*Rv4I@M<_<a!z?-o3)}OgicHl1@4!opeSzZ7nhb@=fj~|2?Hcr!jx# z!@$gq;Z_>ljVGP@wuuDa`#E6M1cy#f|E!0YtpUj=#^jc9G&<dCwjQ<xxQd2F9Xi!% zma0xmoecSKj81=^B*57&nMJmZxR9iaoz4u^{g$Kz$p16DXg&$I!<b^HrzAj*g9XIc z=6DUZD7Ln70_^uME?nBZm)&Abf!P&HXpjKkPLvXfei%nO1(r{M356?*mMf8wPI^Al zNoS<f_u&Z;X)PpwKfp=87SgF=L;_3=%p;cfz-}R(4u}M>XZc5LyMrG@kWPAgNhh6= zPG9{K!F$GjTfY%_u7uLgH{(XgHP~t^)fd?{#hg!Vg7ASkZ6_j2N=BnolR+DyafSu9 zA`5UuNjm9ukWM-yopeSzZ3$lj5oc<``^Q)>jZV|YM8bt``Qck@905tE#`jjk%0v)( z<54>rom_UWhnq(mvy!3swjiDU&9wpAmMvuRGm8A3J9TcAs!pL!hI}}58v8j4qRKB6 z$%U~wq?67J)%^v=M}fG%Ow?=q6}w-t=5Hb)w8;vwVJJ?2Es8Z86$z!kuNJ<m4@qWC zf!P%^`b0wg$!o=@-5AH@(=gW8i-cKT31Yx2WM;+me58}kEGjP7*+^JaFjlw~y&{iE zr!v)|pmK{yvE2tpJJP9HSQJdp6e>o&#w7*mq_@|q^689p+Ba(jw8_+3)OmpyPod(9 zPq)ITWA3731TxZT*2y?%x#6JgLTQ|`lTLlB$3nHR5~6Mxo@dfYuY+{b8R?`m(rL$@ z0B9+H=W|X-2APj^`tf@X^vLT5XL8`%n{+ZpghHLhKSd5JzRgId2oVhxHl{Ug_>NZ< z(kcCx82B3h&Nh2g`oB6^+NY}1GAHafhfZ^{&4cCdnuzj=X=Q5CNoNMb67?p|h0gX4 zqHnu5@-#BVZr+&#HlKlFdhd&pSrj||?;JSI#*5vv_ey3>f!P&n*JKVHem+6mU5;@~ zJ`H1M^*M0AxkWTOhRm#(o{x0WnMK7V?3Vd@4H56NotDR>Q*6b#up_vau=w1QjCAU~ zVlEsy)mAJ{gSXj{PI`N-Dxc0sr#+p6;mEy9wxDg;HA2NT4-J79HNtF}{gIJQW7jPK z=cGW-k}a@XNvEWd3*nkqciWXfREc!b>mZ$UMmp(?bZYQs7#xc#3u9Mdy`<C5_(`xv z{#L1XGea`c>1wT6aIn__F{IQ_`FcsG<jQkkZprl~&ql~dr>^zqK~K@#=G`*QU!AO7 zQ`ITV2|LcA)7(PKq3OrN4MwKHmrgqA%wSmJ{qhKCdiUu5twYo<wqgl+BcO@vrsVGD z9UBFgmW0FT*O_ef`k#<5)vDrjW>@U%@^I*NB#*7*M2utdDLW$}9BPenx9#45%&eGR zmUPmYh2lPi!@OlDk}Gs{Y!t+HjsWNH{gVsiz<n{&snuS|!rk{9#qsS!I_d4Ts(d;l zosRE_2Cp7*rdM6@TnQC-_D>9Kcz?;1YaTMv=|Gk^=pEqB@-K7jJDKe(p#8y5raX6X zDMLExb&yUv!<>epGt%koH~CGVbk4w@;)<=ZiYt9{38dd4zZf+XM@7=<UC{{eXx?6Y z`;Mb0>D0_v42@nbXa4JukxujTgh8ZJIrefxroTEJGpDLkxD&oWhfe7-E`*Dho+n34 z#zB*G(wV`q#MlWTkZF5mo97&SS2M+~J_?32kt1zk1##QaLUA4CeK?z!+FoA)$*d_b zyJB(jOGaU}mfN;G!#F0N@@F*$1jFvE>ug)|ACSjp#l~v+NGF|HR9p-ML#tjETk?7w zDQR?iQ#C|x>$S0!XpAES>C`zo1e(n%VvF~|8(Byvy}eeIPiOz9)0riZZc<OvG7Fw7 zq2j(&3Wb-A)|!HrAtRl#&5VG`{$*LeuGrNyIxQ@;44w}>W!iNeyP9;;>mZ$UMmp(? zbefwS2({$>;txNf5~P#oq&aYJ&n017fcZ(M&^_`CV@LW6Zo*NFbgJ}eHar|{VXM86 zkxn(IEP#85KbZD=I4*Wi`=_c?gcEk0L#GyZ6Cf~joG7pc_bNyyof!;E6djoWugV69 zGmG(h%M>gAGalY7nk|xY;lkdc*v#N~*fS(pB<4FSnKcDwS1d3f9tP%KC_JlT98+C$ zxK})6ue(%i>W|E<n4XVx(wRlYWw*z}gUWNoh8=c!Ogeegl*@;#GsU>vpClulzRpj8 zJz1xTC$I37lTLbjtty|+NT*)4H^PFg)kKX)*v&%49nZfBI<6}yGVMS{I^Frb1;Vl= z*m_!V6-+v9-o6RmHP0gW3CHN9*FiezjC9f&>6B~qLg?0~6@1%?{YE++PZt5!{MBGk z5!9G;vaVhQEB1U4*~eji(&<Q#1gI5p!j#Y&-vXr5;&h2{zf^!N;CAM}qf^GAsp_=c z$&e3+PRq`1g24KA+l~Yrm`Nv{8LIoM^xp&#&p+9Y55sO?igo<55!zhLDBcgi+ubaR z<(jt<hKXF_SH4S<SyNzk#q!SH2=S%ziOjAT$5hu0owgD7tSBa6ATqOJdOp%gXBHKg z`PN3rd@+ld`VqgjKsvRlx(PnlbrL1Q@U8{YDSf~u@V)WIw(%04O43PhuT|yK8R--^ zcPmUh-N;rT3D1>KaZhI^ft&k-<fey_kxql+cEDAh-ZXVsZplce^wqaPkLiBNG3jt+ zjOS4PmXmhwNhh6=PC6r<o_$>o501FQg;KbGMmjw=t%Q7wa>F7EDoZ+T?VA7<3TzjR zk2tn5=ei|8_BTUWL@4gilTOK}Hp0Xi3r)LzWc#a=+vrqvigdz;ICScoHwGRai}mb$ z!ZAAO%wSleNn|v98=2m7+jz(5<WeLWX6L)Ie~1_EL|ar`r4>=&{VX(j+fkenTT@_m z#qzF=f;1i*lRMqQIHtPh-tH(kUgkw|_Uvcmu~{)aAL*nsi;4^W6$SN{6-zF4@UA>2 zo!q-e!|x8C>IKdHC>iP0U{5ssspsL@>H&5s>7=*Us`BZKbn>&tLg<H`rsa*XyM&6H zaBn5F`SsXTKy@MM^zqCZn6kDGtGgEWwn(Rf`{JN=*0jua1GOWa^g2i<osmvDBb|KG zErI_1oZ<8>$LLh-V;J0hc3!Me7g^G2Q{8ANEPthU!F9*z6u&qW^7LNKiuFTAI&HtZ z9P(eT!^REE@>i!e6H?VF%1OHMKRSifSj+u#&1FvA)pzC8XLdR>RQIR3Hjlq<|AD=z zt3DJ_tYPrKJYC1~yi^;U|5y}D`#v*odbI&x5Vu1zYYNP+SpV3}d{-6||MVN<nCcpr zOPP2?W-splXs0|jE2ifoopfeVaXzo=@o%?XdA~Ht@|bigx^Of<F*g_gnir?`q*L_w zC4A_<t8Dd%o05@EdV8%ZpUz09GV9m!X0{KWH$(5p7@^{7<Xp%7>-V&cY=`+sr=7Lp z`7hsSajyZ!kxtKstmBiD@7s>&MMgU5b&yUvBb{_cIyG!pkI!+P#;c^qkGyGgy5h%p zu0s=fSa;mFBb}DM=*1r#HS^{HI6^n`GUTH{)nM)t=)%Kl;oE|As#q_I$D2>Fr_KNT z{h9g^(^Azb+6fanMyFMc*7B#Pd$Y&wanVQ@JDnK}OKj^H!XF&G!a6j<RUA|7Rh{nq zO#OoV!nRXbR<WHmi}7-$s`G>~c)G1AFuP*jFN*S{M((`!QH*2qX&4);6y@h~*WyjW zP*1aBdOp%gXBHL5tF`18YLw(XejJm>q|@Z7Q+dpvbo^AeE0U2;RRfpt#}D_in<ufG zNhiI%R+Ud@q|=E7Yx(oAR-RRp@H0xG;{M!O%e}4swti}NpLBW~xt@oc7mC8=FphM3 zS9Tq@Hos@f(;XS<q}M?@>5O#J8R_(Ho;N=<b_B1|4VOlw)3U3rc)itre3-z#B%R*e z9?aKnX~}0)a`O65r=X7^eC+pUEN2@WJxQmmMl>(Z*RZz{j;VO~%v5!Xal(#s=rqi< zjQcjI!;;)^KZ$hGnZdAxZO{b1ob6}1i{U9_ie0Nyi|2lkfscQC7|SX)qWBkf)VBbC zXzY{BngX*cc6i}u<{ng#KWm0@Og;_6qvR*n*0%_M_Zyj6F+CsYq%(_(>pizDZ`{m< zw|j)ELelArUuRx##S2#bGhR?hr!F3Wd_dt<tl{a~l95h&d#x&;&Pb=5Vi{jy^tX-V z_?8kX?uly{?_4dLsDB$TvZPa|ff2m&w1XmZ0i4H?PIrUD_{<uO1+V%*GSW$}gLKjv z>7+B#$yBZ~FJ7n%PapnV<|CcXy1Mdgi5+;U$8RMgopQx_^Q)UZ`M%O$C8N>lOqI!e zN#57&*)g0?kxmyz&Eu8gqS@G6zy6L+yXK{;(+Vf-IEPLrMn&?tYC+7sH#VDe(wV`q zM6KYd{OW|4Y|xzZGL9*ht9K24a!+x7$pufXMX{^j9y8~i)p(SF7c6TE%&u6I9*^0u z$JP0SP8i4J(=eKzdB|>DtI2KEvHQ%5>G?<}omo`e=d7jpg(Btn4v+ovm~?7Xx+|aW z;lk%_I4T+G)NpYSU(oIXYg6>9WZ|l;-d<}83}27@r)0k)dDHwgJhR!a$z!3|;xSP? zaZZfw>rtEpAUBK&XJh!n>zhQk;dn0>=~VN26n~ICtEicXF{G1TFX^N+(n)8e)1@tC z_@iy3`0O1xZzY`y9In9M=N-Wtl);G$>9pf(Q{Lfr7ha(xj$))!+AjgT!sr}4@vK89 zk2(wa^~5u*<)v?bb+Ru?RVS+xHrSyP{~g5-&wXVod+e61j&#zQ!LUS?DHdL4%WCGF zU41B`*jJ-A-<<S^CFI$HWffcV`ZeplHz$8qbgg986qudLwtmfuX3x!+^}#qMpHhN7 zFWFRcK7J&}I(ckXOwUI;>CB?yoSv8A{e&~`@hedtlTKf!b?4PuU1KMD?Usymnt5$D zZ{t3fH7$tqsc=<RZ?824wo9=^XQKI~rNzY7(--8iP%O583}3!uikOjrZ!^-VLc>^| zHA_0U(H7@Zq|@DpG2EIhM*Mz&+L2Cry`+=QNGF|<P9@va<RK-x@|!m>AL-;ZsTTh; zxC`Hv4f~RGI_lY$r(4^QpX`I9BI(p~+6=zq!!NdCo8v>4c0(5NrTrGM!P}nw)yW7? zRi{`d>^O%`6>hBH?%TWDJVWtikxn`@7?#LYE|9M?mt`+{?vZg!v7T=k-!UeMEy=bT z%PQvDFCG7Az02-Rh>*;h0<$YNG;cbdDfm9Cv>xM_e9GvSY59=r&zM`u<?`69n4XVx z(wRlY1uS;sA=eJDt<z%VG3k^(eLtS@<ZRY^<VMLzr|n+z`QEYDP3>K9envX!?X{|W zIwPGb-?#EC)f2?;eW;F5ag#!0dF@&^M7GVS80l2}(kgE6;R^3Y;YE>j+Es2PzyJQL zIMy6vNGH7x(n)8elg>z|ExlXv9vK_(xYEaDKGLb=hUUCo-v<28ew@paPHt|#Jpb{s zd}n>!-X)!0yqv}R#U5cH?44wEv6DY6#7ErC#BTg^`>#&LV^Y;=r4x3XL#IFW=ksCN zTtwd;UuA02NoNMb66<@6;%n;`H&yP8a|EW?qVtUJZP<cke|j9tDpoTvFMm}%gnhk? z^B-#p%&u797I}Grz(uV5ON?XkX&BRX=i$v;hOv+`c)>C&rspG_bY@X;rhzqiw*CEC zscc8&G3iwOc^5wML>lHCi>H!w>br0X@7C|b{tw%6UK6g$>g~0rz;-EC{=$6T+-0-a z<cSv!q1eQx3;4<w7sNT|FY*{wF^qH5LU;~V05UNrum5x!vVH+Su==SO-Q}l@A)WMk zNhh6=PC6r<Hn(WOFFnr4W7eXsq|+>$H;<f~j&H1mt3A@G)TGY55nN&UOTU$jbc%d4 zjOVUjh(&L~*FieXY&D(F@sCfQ@9da6HCvUcPH|4yV24i4qoetx5^iG8&fl^+(n)6q z!xCi<%;V)B#CX;ZyeH$BVne$2=W`ynW$g;#JH(<`Xeke#KiSG|_Qx);roilqb$U{l z`@6|oxTazplTX9g-m)%V+d}@x`d(ya#q@lnlg=zE?%v9-Jbl<0Hfq8_c}zO}Sw4;b z+WNtib*Dq8#KMcX_aZ0Tu~*m);i|0OUTX>rUyot<m5AYE2JRLo```yOLNS;h!^dv9 zCRUEa^LI_LouO9#epWuXQ_tD!Kb=A!$MDkMUkdRJFEFH&UN7mSGtx<Cq|*eq;k?Mn zT)c>IOvMkjAI3X*W#jG7;kGjA^zzLVZZ_X$-4EkPL^{=3IEM$rBU9^e$IZQ`e=OlA zoTu6jTa3T^P6Ojp)oGOzo*0KtOEx9)r$gr2?%u;wK|1NoU|8aZ|6=~TbZK_-tm9(0 z^LTe&@ccg3HEJc6RdM-l7vc6fAJ`e!P|2(*FuP(fw+O$u<TG>Yjd4sq4dd3%!rZmo zZ}$8?GP7cOKGI2N78Muqwgn&e>I`!ah>^#n)6hc}zJ1<&7TFEwQ#3k_3tY~txtuoD zXpAdB(n)WxRprwe>C`%LBX99CQ49;giGfgYQC&B2pQbm(-c`66@qao^-pW7ZuOffe zAE(Kvtzmq5vWb7b_Em)V;Jk)(((53dbVfSqjC5)`x<3!T-i!}=a!lr<(dn1DAJ4hB zDUWWBD_PR1ZQdz7pL-QP?z!V)7nv`Vk2Tp?fZCs;(P>rrmAw6{H>Rp}?*6^lE!>={ zPOF`;aSokoW{T%AZ;#rl)lj#<sclT184ODdtQ^5RzCC6dJ`)F0rkJP2!dtcoXK@A3 zNoG;3e0d+ft>-n?FQZK|YYNP+*v4mVdH%gO*sv-X$K+FvPTp<#&=@;gHV>IuF+CsY zq%(_(J9cgi&$}am?aPi|TOggTbX&j&2ee_fP1uE`)0U1gy#DUmrpH4*NJcv8?X{|W zIwPIlw2$Xu`-4OSbvJ@gaqm~gbDxuO;z%*PLxFUvQfmWWwfwy(-VGHYo%%nH=L?GL z5Vfb`c_y9oI!Gs-kxn`zod*A!#(9}4{Ff76WJ#wSCoFvQky8Ba{BM$xPAiJd<y~(W zJmDvfo-{h$^k2qpWizo8Con(h^x~40KQ7>rJi1VZzoXOU9jWTH#tA#lp;J-UCH&Wu zO{NFI_->`qNoNMb60ccb?msqyRehcy<CtPqE9K;^s=Q{K3PfR9#fqJaX6-ts<4sO2 zmCTv~vn$rUTr_)oHa&ln)iF9P93RPsjnBllZ*h!HdOp%gXQb2m*?(BAS>M>X{W!HJ zot(Yv@$Jh`u(bzq^dy~Xb{o(8M@(Wjy|+k4I_d2topeSzz3R7=7pXT+)EI*!H0k7D zBb4v@yj2(-k&#aC-iLFZrXoBlfFlR#bnaFtZ*%slsL~PNDx{NM2kE3U(n)8eQ})XR z`MM8ndCj^w&m^5X^eVvj_wC3(-o*<(>6H75JCEzrl*hNjw;AbF;?XevuwgD<;5`lv zq*LLsv-qpgQS8*|vwugYbNf=&X|0nX9}b;fS6j-THEF>b8#sj}opffX?%x&Emxum5 z&)!YhEaRABwU_<F=l9Ra_ngMnltr<j9Tu~Yo<+H(N2Fxd6qsGHQ|lJ7&xecgZHXAi z<kK+jy$N9*8<pZ!C!n5Y#q@lnlg=zEuFLta%<p(U?z?e?JSLqon>_fM(rNg?m$(^0 zI(4k-&+8`cU^^FWmyC4M+iO+%bVfR@ZWhX)cKu`P_k6dE5h`wFhGqP2%@LxfKgN(w z=|Up-p)ePiG63JAq*LswW!z<IwCEkaPcqU;uY+{b8R?`m(y9LRfA~jdKW^E88#koW zbt5}}eR2pdGu*MVD|@&KcX{4}Uz&v<tCLQ>?+oXQ)|TV__T!R*bm}rOh);%dY{Stj ze|7qLAXS~#Ibp{+bZYf>0sr?;UG}}|IhmSt(wV`qMDgq0`Ic4(*&e^WGL9*B-o=HN zjmyZ7JlcR|6`Qy+f_-?Di!ZLUMlx#(%&u6ZQv`FZnTK~Ci*Zao4Ws^`FgAI7em>O= zyWgyso{x0WnMK77TlAG3P0Gf%?TMGiq|?u+ntbr-x2$ZsB*{ppkbJ}W_66(NsZOW^ z>7=*Us`BZKbQ<z7n3ul($!4vKU5Mok<IchmexhYxk+2HYA)O*lEatu9oZ)N&jtHdF zgklT1f6Y))Ef(Llq?29;>7+B#NoS<fL{m0C>3Ub*$p4JYM>^HLmyNIY?!kNS!nqxd zP9x@5;Dv7g%Ww6)Eg9*Qaa}+DHZC7;-Wo4}q*Iw)0er@o{j8Ud{jW~>kEg2BdM7*y z4xQ#L3gJE@W|&GgJ0??;PC7Ffmgtzv%ny8?%f`LHiv&|_>hl~tL%G|mS2nzuSQJ~A zeieIK{|kFD4)>0%DKNWYw!U%9BiDCUcPqv*`IIOASS<5gY;b>X9I?!b>G?<}omo^| zvB3s!Tl*>NztS-}ZO&4ccU!)Pr9ZJw#*j`H?@_#cJ2UHK+9?_7q_@|q^689pO0#nz zUuT^r9>)tAgHO31H+d1yKXJQg5{bv8)0rHhd|r<7@W%tYnsoYAcrovO_nKH0jUPyn zPI?`rlg>ydosmw((-q>UyEWxU)RKa9YC5U_AMj5L?iYZ4Njk-MuFk*2*W;~M<2_`g z(~{DDe8s8^{9H%;V2yNYS!xFNnKzH|!<YW*ROf7}I>kHTNpR@2Y|T8r)O(`mk&U?c zC7pC;Ff1|MX*h4ZfU)-V9?LkU*pRFq+~q_f3y;SwJd0unGH2zZLN2fipYdI2O@Y}J zD|#*q&$;mu8&TpY=95p^H6B@br_a~f<^{;iis|`CC!JYTT>0Hq`0l=Ym|rzKZL<{{ z{;fR^@|wqvPQ59QNv9h3Ci1>ha<a4eaWPFg>Fu?uvN|K3KDf;1FPAhBEBAepF+#<K z44cod2M34&oA4$W(kW-xVE)<biSWMhQ!>&iLCojjvEd@qsjrfePI?`rlg>ydosmu} z4%Xqlij?KYyWo<7bgF#5E{}d8KgjjN={e~XdaNZc&><r?Dr5hWPM!mX@J4@Tu%{lF zpLEJ?3*e)-y)!i(o%Zik+<ZAzof4d|;~Y9I?H0pl!W+}{`Wa+u(n)6q!xCLK&Es=3 zhqHIR@U$_-?o{Z_!-u?Ouaa;ewJ6r6jT=vRm7Pz1h}~*Uf!P&noYRfpf1QIDEqM;} z$*25Q{1{hWc6e?+Wj`{rVtPK(NoN)n*QHzszNvu0J1oC0k4dL#2d40nyN|LOnXpSq zC+AL!_@`4-8Kn6k8R?|A*Q)aAjC49WTJAg5Yi-Ne4)>0Pii=qv!#|0;HWwE|GScbQ z%N2ZckHz9sBF2$U7jMS!+4b^^fH23tlU@huq%+b<XQWf$XCEFssW}g8=OpVOonohU z;&aM#-g*P-N;=KIFpQ7SRg&L-fc;B4Wmz?c7p}ROdG^FFhmlU*a)$EgAWwGma@M~( zS#GAP(*`H(IEPN{-f!T|qmw;1o^xyz=*(bP0wS05>V<t-=MAsqX=I9d^q<BX<ha6~ zw8lLRi(+A)Tkr*$GV?(daCKo#f!P(CxUB_usgi{=GsZFbG>qshEx31D7k=hBGP7cO zKGI2N78TdTWfcFn@H19E5HB#K)200j`12`i*xVj>B_o|4*0u6Cqbjm*J~+aVPI`N- zDxc0sr>&(E`Ki8n1Y76O>0<vxUMx);vHXWar??9nc?{n#OdYUWNvBh>iTuE&apL7O z?0)2iq1Qn=>5O#J8R=vlJeGgI-HeA0!x4~lI^#TnSI%wXAB*B^A)S0K2k}3x3-jT1 zaU+9ty0j>qmvkP==FPx6IZ3CVE8}=X_DiNoF^;buth<-0PKi#~5Qk3Y$xC>#>uXtU zf1LT#=%h1)VTohC`|<6588|l!8OIbm{v!uZC#v%3rCYJAVoA4`v7ffOy!AYso?BC3 zcEy5gE@L$fdCS{#jAQa?7&+!FWn~I`^2A%X?Pyj^&qq4x%%b8}UH-*tTyW<<LpRG~ z(kVxd`rOsGD8JkRbs(KW#{2UxH$JlIC2$TyI_d4Ts(d;loq9K2%Co2a;#qkB>Mm5= z<-5qjYy*np@ioOtT?pd^PaPJYo8Xk4bUNEBlplPXQ@H=ZDLd(;*FiezjC9f&>2$4i zdfq>23ZFIbs?0|^xv$U2L(@&;lZ)6TBb{bdufR8-9>zVl<Le-uZnPZE?^kx`8-L&s zLOMA$3gSyX82nXw$49`&o}{YNMknkzhfZul2=Ce;jNPh)r-F3SnZd9`$(Ox&pH@HE z_Rfww3Qo9W=TWv&{By_-EUV&TW=F8<y{hs|ZLwReDKNWYNl(IA+Avq1HXh@cd>V%T zzhSIiOm+TbE>8E&is|`Aq`)kSb=mTReOq0g_YB%5k4dLTZR+qk&vNlwU2t(uI%RG! zigzz~pS{nDpEHt9dV8%ZpUy}p&-x2_uk7a=w90r)#t0SXa&93%RR(O$e&Tr{ogQsi z!t1%66mu419i)?Y%SGJdP#MwsC(a8=C%q2RNoS;!&Pb=&GU<843M2V1*Bde)>Ex0t zBfnC36u&+AzGS3Rj`L-?i`|!Bj>ivUNT-am2l7q>%JFpm&R+lNG{=7izqj)h+mrO- z?^OKht5kK`<b)mP(CK!aNPc-*B>VOR7mcKo&J2bns{EPGx9|MMGUdV3!xYQ;r6Dg> zzbwxjg9}rOVpl6<<k|1n;gdSxBH5Y(vn#gyeg;11ab4bIBgQfLG>j`%GVs<z>+>TE zPRV1lVtPK(NoN)n_ujPzFLkvtuQ?Hy1*Fpndq3`WI~N~)5$ATKQ=M9KdG7r8nEYOj zWTcbcUaQKdGtx;6isS=&95zMOz_LQc{n#AIeTOD_Hpu);9+OT}y`y>CXYEC%a6DI} zQ@(eRd`RN+<PIfq>yUKP>mZ$UMmp(?bn*+U%vWp~#b3?EDK_bJa9?$vzU~lSyqlBP ze>$}t+lG6!@!^pi)ghglM$h1_+|uwhp^mxJfbR?W@J1)uy^)R|<jMXqRh>3FVaGXi zYFcw8XX{6>^que}kWM-?7?xOke;#MC*Vx$kcsiJ3rp{e>@2B~BqpA3Lm4(=fVtoEV zSN^5N3CXM}FuP(Mx)kGc&$#it(HO_%(=d9hEz0}$cjrESsF+zXla`Nk(wRlYU8voh zH=I$N&pzwW$r3(+KiQCu-~a5GJFN&`%*W-ou>yDSBT>>xZ?9G5(;4Yx?y-_v8@QUH zYB^SRrs$P?U;p#TgAy?x>6AP7D!$u!gz(+;UNX|@)zy`J%(ulh?{c`5A)WL(NGF|< zPC6r<zPmNz<>w6IKEwXVe5BI}r{=u)ir)Osb%##h%Jt{TqZ;!o!4934#LnZUJ~x?H zZ--9rT8Hx+-{aWvPmZ~h+xJv;+Tw&A=g{fMokhI0M>#g5Ct6NA>C9kQ!teVy-fQ?q z78UN;C|JPj@j=~xv0~pHQ}N1uoOv2ccHYAa2YS*;XQb1}lFt0u>>Rv!AjbWlPE*qJ z!i975QWa4#(n&8%I_ZpbYFw=fuk|?{&n?c$vNSqXg)Y2K{~N4)t6P%M=+vz6bpH1A zGIq3~W1~QCFX^N+(rH)K#e8!ySKFhZZ)H9qpYn#}8H@RcU(apVPvVG0I!$c3lrP-3 zUNl;Xijhvyrx(j*Mmgd70Lzk2dL5*b&PXSnkxr$Hx$>F2Tkxu{9G}_!ySh5>T&@Wp zABlZQ7rUg-&3O_3D*R}5RE$Qagz@9}v}#9K`s$9UxQhtlgXhg+G4d{h|9*Y0vyqtE z&(v>q!js_8sX%-%kF7sY?#+CcFM)K@nZdBc{#!%&tb3=Khb!JE#1ymDapez}X5}Ml zs%gApnJ2wvVfI4&(O$>sq%*sU+w=JioAsbDk5BKo*sWOonvEJzjPI~HMkl@O2wAsb z=!|sgA6%R-ZIY9(ZGT?IkWOn$wB|KCePvtrI`*CZT${w-@7uwuk9scS!c{)Ky`+=Q zNT>VXf_YoFrk>|V;0R4RHEkWjFAtk;vsOlJNGG3?i};nx%S4TVSO@8Je0d1J!(P}L z-$6z?>2;7!IwPHQMmkk~UyMf-?#M6Y`YQ9$=#(Z;X}-69Ti$XePFzT*#&T)1yr&0$ zcGaO%Q0Or3T=_Axsvjkysd)Ylfjs+)bu4RJhfe;^sp^#U|LHW%vVhm{i#2_@XL$Xm zlg<p){a!Ohali5wc7Hvd4yM?{@cP_)<Y`u}8?G)airvYcjhD;!o}IadN?221cEyHY z&dQe;`^b7`#d#8wPs0dnkd+^I{l;ztJLXP$KGI2Nq|^4-uDoT28|=Yr94Ses{)Ia8 zDc|E6&taErp{j#VnaW$t@L@0tM+wqNZ?9Fw>5Ozbd1e8xoc^Wl;B*`jgo^80BA6GQ z>LIGG!wVqkbl_$P-<SQMxHS;>wn(Rae!;v98z_Eze3OiH((53dbVfSqjC48~SChM4 zbLSZbVm{Jo-|yOd!}%(_Vn&Bfr?0f+BcpTks2mQR+@B5SU#~7>txMu}{z#`<Ni(>| zPFI#Z#QE>&6rMFzowhk)$2mr)mKBqD=4gwluq)mcN28O@42C7zZw}+@x-4ZoXQ+K5 z#qvGr%bgzlVI$@zU|GfT^eoAD?JLCNyTnLlO@Y}J^UqY0cdAl^=UahsOg`mjcGXJo zkq3+O@~!cM60>4@KGI2N78SS1vmN&<k%>2*x>g>OPECVma<>9!*(^6)d6G_EcUJJu zc?Po*4^K!&I_d4Ts(d;losPUu;seuri$`T}t5m2s^UQ7h$f1QIDI8TIosM|z<V_!E zfc^0gBqN>9|K7$6$$O<vRk<x0>7>^|I_Zpb(i!R0a#wFY_-lXemkF0aq|=bTeYscG zzI^C1T<y{5v?QN}54Shv4L)K2(#0;Y>v9f9A2XZ!nK#nu#MQODwBg4>nmJZ>B4?^P zZFj<sbLjN!`x>71SpaKa20vXUopfd}ERo!20q=eGDchNd^AM)kjwS8+uTLd;u`I{1 ztYWdpa`WWCy8NFwT%21|V0OitOv=qGCwlM?-!YEKr(v|*k&D+0ZovJo?U%=9#q@ln zlg=zEuHJ!$d~!lX-hUo0*h#0AiT?ajW*5Go7G3~Jr(79B`NvJCS!_D&YSKw>uT|yK z8R;~l!&?5m{|`?;bz7WJaoskr<sRM*ZU45ze5BK+@bx@!!y<8cCr%7Vr!2-gelhN} zZB}}mdy-Ci9i)@aNGF|<PJVqjFaFY>hn>Lr8R=9bxe3qaI-0-Q^;I&`NmS^^M<sRQ zSzF`Phjc1+DVR?QcH*BNI7X*Uy`%Wcfd5C>SwJ~;v|;#?MT@(;7pJ&vzQNr}aS2X= zws_GJ+=~>4LU1kavU?Xwad!_^tQ3kDTKMOi_n&)rdUDR@ob5Sz`hMTsJM(06lPuZ2 zR4kACAxkh_j5=-i@WQz|{q*ZBk!o6N>br!m2cVP5EaHkTaR-RWpPiv27C#zDv7~p4 ziSRASMY2J>WBC=!yy_9<u9rj9%(GjvKnNC8?3a{}Xm<acBDeb8A(C0kDm(W9d79-B z=gRDn_kD_){h*V{{3^G2Qg%_`VOo)O4lgrw$~);R@z0n~R3RTf@j|CKw?~Sw%{!>@ zBz^=#C-Zy*s-MZA)9-a=i#{nHMO>Q6I}DFwS()tFBHQ$bk<0FLKj@S=@jNkU$6kBh z5B!P}I!(wiNA%rR*gl`&rex5`90NL;3_6(%I`uA@M;!gOz4&n&_lHh-e#$SdOm8b{ z`S_z<==5X%s^a4}HATNCyj?)2bAJyO6^?ntvzhKcjQS;NqR7;83*DXj!Fk`w${M3i zJ3KrIu1;f$&leM|U#R&~ek4IBlUc+SzPE!!;o1p=?<{{7M~a>QyP%l&vbZ=uJCbV^ z8@v7t1u9k&e@@>aSs(-pDmFCH8H)V6viSNH=Scp@N$z=y#(r5%lzPm|=Tpq=2c1mj zSGg4jGl(ni%ZSqnd1r%8hgLQgyTY=I$}{=nXy}x!%oySIzoXKb_+bH^%<~PXekOxX ziTBPIcDn`Mgq!&K%vQNk#TJP6XGTQ4zs~alo%T*!C{|paZF`pRt_Ynv&srcpmI*{& zsLgL=Kqqqy=wveJWHRXV!IME0tu|a#`pCN-bPD^FMRX|P7n|z3I$fRb6>-~l7juvB z^&WIuanCPWWy~cG*W&Ltz?0prh$-TBtT$A8f&1_5^5u?Er=1>NI9I3L6@L<m7N4Tr zEBLgblgTXNiuPx_iFC2k2}>;lDb}uVX0iKLMbRWSztihi?8N9TG;VH9k*66?cOV1{ zD)#Ne%@nb|mgpSGIg&q?RkhhBO3=2h7<wQ|-uEeH_Jd9)^Q+vR90^6dzblE8H{B<@ zPxGsY7Y_@Gh_Dkf1D!h58zRmfOejj6;OiggWS(z8^)nfCvNy`PI-Z6G72sF0w#v20 zI75U#Z|nVbfUDE|uV#t6U-z)Bb?z^yG#xNQeE2C&#D+$!7<4knfKDcZP9}p+XRgK( zL-ULj{-OK^1$5fCA)(lnYJ@1<jdvpKPUVvq67S;l5<S!L`%}=V*7#nc{nSFDb9VQQ zf;3mgid|O|h_%Vx?<lBIAV!^bd3fPmoo=3;D88P)pO$>a&;8KJWEOEnvI{Ll<!Q-8 zpY5k*juhKcG_k0Ws)U&T!F{ru`S~o0mAj%iP%c8|0xD;+pkhy_%%txtgbUvS&XN4F ztj=*~(3BS>Mo#D5&Zn4J3!O~nSGmOzZ>ZmhGU8-L{!9$J)7b7MMA)~vMUF4|y)Ec; zeL@fMVpD9fHL1Hhndci&{Y(a(!rM*~Me^VAW}VFH*eX}#(j*c4R*&%QUVcKoteB_9 z6wzNyv7ek~hTW-q_+(N1V!g;L?OAQ;WR3xyOa`4y2A!4_d_`@i4ia68aewI4eD%N7 z>-Ipg^W$^Lpp&?kMa&Rii;08y6(Dr#oW8wy8&y!8OW}Uy#pP1+_srA86$i4pyHn3% zG3vD2!wVNprv)>_%hM|;d*YxR?*BR&%p$JHAKpWB?;S@>?aNa{idCDRStR_Upjfep zFQ@&A4Jxsf2Fxid4$s&oSs(-pDt7m$Ei~b`a^ma@&XN3)6aRh_)!0^1<PGvGF`r^) zKj>sKzshawmr!J>S6nP?#n)`mY45jHMbUDZ#GYrY7<7u4{0DKc?_czNr_+*Qce-hu zZ$R}k8FXq^ai%CyrKxw>wD;m5U!Ke^)$B@yNExU7gA`nj<FVU2A7N#p*yOU!hr| z;D8&Et2ai|$r$(lIvMQ$IvET))x3~cTpTe-<jBgO&q1f8?~;oSzYY}B`tqAO&}m>q zG4X4`E+Wk(euo}9g`eyr`q#}P;%;%j->LD_abo4?uc<(~SI)K5)Y38Pw8z5>=jwDs z{yKf{<D2N^C-;?|$t>cE_pSSiYaQc>j79nINwIP}3yWqi3W+so_<F#v*sJt+sL-kk z;)_}CyW%Dbs@xyrZd2=Z6~(ld?z`gY(*<ckaS}^!@{4%rWY$6_lR>AnUuF?|17C;} zeR$`9PQ$A<5*0*d(IE#vu|cOjPlk)uSKrX%nhzv{PUiVSCzC;^HNVUd`8vMye&M+% zYoSvYYo^%nTTbu2NqpITS^iko-)Clt<Wrj2@iy{hH*}g<Yo-_;92l``D8FFG?qrSu zolFLuOa`46bx1417xfp{SG<$`pcA#oEUvulCFFy#lGdqxvI-(e&z9nJZ5|UkT^ann z7`HXK$P_EJWVm)3v~Rq~TmK>bJ=lF4b7RFAb=vFU6LxiKaqVZ(Li|W&Zu4_6b|;fr z#1*r~ju6day`;N~F3KD!HZi<{C_6WoI5L{ASNw`aPJT;^BTI=QuiRI5CJU<EvKMdY zn+K&u>bm?Yj^vMJE$;G~j>#RXS|Q%;e2SU1(8*+em5ZIefUv_0h<_*Xbr*E<eA7;> z_$9e0*^l2Ag-+kipCA%nyG-NMSF%DU^LzuUpUI%p{00j}{yHhWmv_0Z?3(UgD3;x< z5qY4A`^qlPy?|(Yc!B-w;dR*yIz^;jB+mYPCGvJ`u7ytK7|_XN(8*-b>FK%8McG#U z#qG@eVG(rteMS+nd1-HvfBZ|yushw#Qcv7^-$FE+%x|eer>MiD#Gva*#KSS}lU@1i z)5U^xrzz1;_uA=l<rsC^=i!BObvp3(c#);aBpPsm4*@!v%p$I6dDJInjJ;2N^8{s% z6q`0Yi&$STjo6o!FE9Oy4W4t9hW5=Nrss8cCzAzLZdkITwCMYsBJKC??o@R9VT$^Y zTP*RqyOUW9olFLuR_9A9-d4*fp09C#eQr<|5`PtpCqCbBNgf|`>iFw-qV@Tcl=ubj zFwn_7U+82q=v1!71X23WV%`Q#`8v~<KbBQ{*8~yvRp!WzJKWuA>aIy*+=-v;XSI1J zf=){lO%%=liHv+%l6QCLWR3xyOa`4y2A$4yP9lCd)k^d!%O5F2r<}7>hzISOiz01U zo&W3fxR97yrmFbz8~&9)=+wAM2Qg@1m>Ag1y%hgu$`7LQx4%)Nzdg>o;_qt4s8fW8 zC&AUJdWJRP#o|2FGY>BzbTXMmTruy-I8nXp5nB3YgUpd)1-6zK1!t!bG<yNpDz>5B zUD}hdfEb?lC&>aKSWvN*tM5?l$pyvfL7XG`V_D121?itUMMaW&Gvs}rVrD<+WHP_X zH9nqK9R56uI5d5(ypP@Ka+@ylw-zjs?(s6opi}G>)5WVRYp79OzCMFa=J^IxKa)YH zEP2<;-&#m#x9G+%6>OC|b!)BokYt1%Y|SqzE-RM1+6Hl~VA803W%;23oxcBmohY<+ zxt(S&U&lcwa}4NYGU#M7=+s93o__Ii14aHu{LBEIvQ{rIe!4VBYzpvo9CTVbvxP`` zrjtl_{hVabsbt$9MZAw$#m0GjfrBTzwsU_Lo^5-n@aD_TwNthRG3pfQ;e~T`Div5I zF1CvZ-?^XPn}JRyvxqAyZ5=1p#~DeUVrylN6njzDE59o2A$`$h7S}3P;pPkad;DkO z#MOzC1wyc(Vn+(Rpi`L>iKQ7PaX<MZ-xBQboSr32CR*%c=2Oh<2c1mjSGix>6cpW$ zy`!3`Sx@NXJJeOo%(0hpbz3AEbo%YH>0)bm4JvtmlVs4zJl}xoXENwC{mg3dWyB0S z)*rUa@Q?h?r}=BdsXa&RqeJ;g7CKe-t{0m#7mbSl{<LJ!sTi#l9|z0AKX{&@lQ{-- zG8uF-8FV^StcDnsx|R6n1z#*cr?`o$i(Z}Dh`U$$SfEq(g6&0|%r(Wus;oA2YPfi^ zXu3C!$ny6i$)MBPJPYK%+v`t%K0NK{L``DU$@cIhxH{#$uuyz;a`e8j-|#CA=wvdB zxWaqgFUIX?MJY>fkvURqO4X8LPVp0TzcDYDU$LowKca&<U(=$nnUV!Uu%Kdt8$Y6> zS>MsNa-1XiBYz+Lmj|?U$|q`nh?!3@vmbOanP25bUCJq*?!HE!GV@LeosykzDbDR$ zO22;K&+(v>HE+BazAOh_oxMvk=wzO6K=m^jbUOKBk+|AzzWq4gVVSX2uH)u_*!=c{ zJ?scG=(IcEGEwtj;ix}T@O|j?eZ9rvK;~!mjxzjY44up|pp(g<lgXe{*2P{Cd{sk? z7|OdHbb6N}Tul3|mZ)%x-v@+FTc$P<r5lzKD^Kva(CK32DA76mDXmWQr)1D6%l7Hw z#LC+A>vi{^ZTecps8f`O7tYnmYQIR_sTM}w^4DZ*=wvdBxMD}s5#r0yztB=IA3iBo zJy%(Ad#e2Pv@HAt=vVAh;pf!!W?Hc;?{dikAy`ncOOu|_*3#)k?e928^2f5~{`r(f z{FF&V<ys-{`xG<#K_`>>Rj%ynykgS)gyKfnI(Z*DRp{4N*dK$mqCda$4xRqGK0&0I zGmQexdHJD}dA<SF&t%XkSTZ2yZA@dYd2(82Y?XU;Dj<Hz(%-hX@heK`G<Dlju`@?l zRKoK7iV`}VslQmH**wo4d6%Dbpp!WUbTS!qG8uFlyS<c1@~Ew7F_GU=g-(}~ml5*2 z`o+?x{IUQ#HD3CqNYl2aXx)vk*`QOU#iK>9{b3^FJHDQRPO*0VBu12<OG!pNbatn4 z?PJtwzlRsj)u~yARpRR}me5y)_)-!&nam=tc$H+l=$J0PczKdHYf@~_a<4e|p_KTe z=T@#&tl_?=RHI%kQKu0<DF#BYpkiMnc}kh)))pVOt0zyHwX8f1o>0$I^+dvLtORs2 z`#~p@L8q!!3W}d{hl>L0_spTwja^@ho_%tNsqOfcB6M0&cDmTJ>?K`@I4&7<GS3$} znG8C8idZG)?JwqC+=3tJ(5XqK)#75&uOhd4j!6cc>Rw(ea*q7PF0THCE_7PIX|<?- z`f23uqwf1o<`~e)WYEcE(5Z9w!XnfBv0_wPelr3(4S8K$bXYS+)Y$mDWYFnp_OHaA zI{ihC9?v9$PVH&3c>Yy>v1=0l1qSH!w)Fzhtkz2!n)8LD)2gm9>U6-v3+L*Tq~c<c zzw|gNb;kY7&SVyG#k_W-#L$d?(f!vv9i&+Ex)sC?kz2%D#n0b<#Y!fAK~3(I7V%4N zmMjp01r_Vr?JxQ@v)tW&<Q&N#nLhT6QWvfuw)EmBRG(sIKj>sKzshB4^SP*+xu9sc znU@|q6{*=lbXk*Jv|GaO+C!(>_a}+r4=zy2<Gf2iC-Zy*s-MZAQ{uCW#gq)5@X}rR z%@SMXhSpgkW?owv>Fvb*pi`>d%S7$OTkTKX_!T8|+Ol<tSoBMBdxQEGVeC%k7|_XN z(8*-bsYS;^A}k;;yXW$&Oz4zxwtUMn*#Pl6_Y=vW)0NW=#K-qOai;!D$)MAqzGKA? zH&cszzqoH>KD|9tY&v?DCKP<@=ydqo7<Ky9!wcu?G(2x5@k7}!?TD`DD(c<IWEOG7 zmHaithu(Q8!#_giNU<Dqs)&90{nS3$;&81K*Jc<nnf^|hx4hQLWYEcEBu~|{m@WH$ zGUd0q*5@#{A9ONn{VLa`a#iu-<#<ZmxS%{1=#)Q0ZL#1*emYd8ko=+{=v2IR9Wl30 zM(@s)TjY5_C+_FYLBJW;WzfmVb>q3R&D___pp%nRa|)dtrgG59VJZimOa`4y2Av$H z`avg$spErA4pTYk<S;cZb|;6)oc`tB=Y3<;>EM5KN|$O4t!iA)(8*-b>Gy2gY0Zc{ zRP5@WeOjkv@7Gg@<HPA{%O;LaTs!RX6smu^k)xBzpp(f+Ee*2-vUd1@FCCrC9CR`n zbjs9lBjsN{k?QT}CzlmEC6}-2ez{kG?#(?dj}JP1{62!FY)Rw2mO4d*)`|PMa{!%8 z2Av!hO(%z`<$_KQi>8yqR1P{hESgRxgH9%cP7YK3pp(O*>Etk#gH8^Mrjx^DPV1Cx zaEv<r_8*-d_C8O=%2-iHR}GTOfNLj{L8pJ|4&4e%Xir*DSS|yp-KpFkSE%H)a*>^O zHFk93+GjmyMs!NQTxu6kIg<rLFzCd&76WERG)}~|KBbsh3!O{`ojTDqs?h&Z#GAj% zOBJD0qlyn`)6qEg+~ozF-DyygCzRmCXxkH2+tG>pxpM%WOa`4CwvOk@c8*Wgu3-k9 zoSd3d>`o3-Iq2jtmBa32GU#M7=;Scf4>~za9Upclhp8NNa+n$yyOYCYPU}==c#Jw7 z^2leEXis)8YK4pEsmt3#N_pj!Lno72YWXY2ts=%;tw@`17nM0utj}Z;zt@~Zt^ex7 zwTf}=zLs-oR<%5m1wyc32u5mYxVDb0EmECpeGYT`K__zzzsmI}EyV1LGpY8h`mz=} z{d%gJn31Il?Mk~`GVD%OtQul#*g)^Y{N*H@<BZ|XK_CQ!PI_MUs=2a_+ycd*lg?pI zp_69FK_|_SgH9%cP9}p+nxP+b(rm9f7U-lIa?nXLj0>GK<DAy1+1MC$I_$CJEhGO& z-7XZ8e>g$vboW$OIla)yWEOF-+MG?4>}?r3Rj#zmkz%Emub~<vC(^m;!?{*5uFcwD zF3r5f%Nhv5f*}~GrQzBQ_2oC*1-aJeFt;CcGRN?%-0$z!(()uTY4)+!vKBg}FT8_N z9TN0z;2g=IQ~#;EX!T5=_sXLDl0hf)d;`w7?z})Joy&Qe=gKy6VTwT~ox_|$C(V$9 zPMRSHolFLuOa`4aLqF)G8IBJ+X@(qh(hTE5C(Ssgbs8`^MxBm$EO~QvI$1imh~Fc& zsB@qaKVivfvMiHX#Ozjv{32{%dok;gU*<@$pWfsV14;}OlSi#^p6s}G++V}Q{j8NG z3#gpQf*}~GrQuwCS(_(4*ZLgh_JdAlKflV=U7lC8PxFJA5D}2I&}nIvLgHED4r2VL zW%7v#I;~q<P&6A_NxaB1Qs$r&_jBhU;Ed}s=w#+>BX?ZQA9ONv&`C4opp#~pd+1~` z=wveJq#61_C(Y0gI%#%%Kd&!z(hNE1q#5_qIt6};QKzFG=|(i25|6$^J;TF9TW=jX z<<QAwmRkPZJs(qC+b3?e{X*tQu?y*cr-bLe7Y~PjCJ)uG7}vf#{DYX7y0**(La<;6 zMrvueHbT}Oe_u=1`W)u=gHGlcew9l#-~knh93nQ?c_(Y3Q`@^Q=)#6};!v$}5n882 z>;IzQ&m<0YSS+uxpp$vN0cTuyUZ9hiv(22~`GZbo4mvqZ<)D+p)Z9ZSlR+nwK_`c) ze$dHbsvmT6SVcZQ=;Sb!gH8^U{j^T@+!%E_=CS0>-JJ%tnN2ySpQR&{udxzpcQTo! zmjCXGMU<{iHL+;cR+%HkzI`)~y4kHo-tzApow&B%Zym+qJm)0~sGP}yAsDHp;anP7 zn?4uU`W)u=gHC2Yzslurw18eOXfLwQ`d!vSr{Ysr(z)~1#nZ~X+hKQ_`FI5#OqxgZ z?mkU2=*0cpIS4r8x(qs*Iorr3_>t!iI+;1>q#1J1Ni)nnbTS!qG8uHz4E>;!X6Of< zG#jth7dmN%9CXr*`)QpXE{aj7;~q=iT%EQLEHCyKxk6VT`lY?l$z+yV{uFDy;?0v< zqE(;xa@t6-G)*dsK7HDWV8Skv`4!{Z&vSGYWfRqt{Q@CaFa#sDG+g^UdsmV6O<h^* zbC}x?I+<hmRc==7aFIoRZT|f(wdAotr^H(-i^el*iyUP($$rr3_ePaPORIor&@;Qt zK_~Nk1J1bayg(;2XPdc4Jb%#1%t0rIsT_22n3{X&WHRVvGU((m)eky3O!b3K4tv1I z2b~<Ia?r_PvY*x|{)!lNI^nV8&DCje*e<HPdf(o25#?D4wL6*2Qp?}`@&RghY!}tG z^T@*@#S#qLM>A_aq&yyer27@)+V2{?p_aGq%3L4>3x;5%mWFHJ*MCEuRISfpZa?T` zj^S6i^_L<jTlyDd-6`VeRA|sqYTSP>Jxjk%GU!zC;xQU_u{U+7_jHfe$voeHGp;)? z(8<X~@?6<Q?n}j>lao_(3Y|1V4mxRuxra_BgH9%cPMV<~bkgjcIu_`p8FJ7`GmHzJ zG~=AsDc`ynbvo&><jvKo$|oV7tc;9Ebke;PH<_iDzjg2GV#tY&G^%|uIhCZ?g77M$ z%E=paPaKlWuNc>sPWgmRZGYnEWU^q09I2(@+<_ENsQV7C^*PM#2c67*ewCZ^xQbXl z<pI5UJy{+LcBeOMYl&S8H`5nU8Rf$SIz8xCTU3hOo?3~fGB?K=!<~ab2nL;aT$MY; zb7dR3NoxL}lao^nI%$R+bkYoS51mW~olFLuG($h=q*)?$e9%cV<e-yg7#BKe#yPE1 zgUvDObjoANo2%2_QY&a`*LL=qB)`fj$L?e@OD+Gco||Y<#uRj-%o>>^#m4tqLsf3} zq_gACaIIooJL3IlTJd<hWPuPY7=n>n8m>((Yduf6*5@#{A9OOu@T*+L{cCAM#Blog z^*&h(o#Kw!PJ8BOrg^ddkPJHg^TjSYG-X0~(*a8*gHGo82Apx-d4Wzk_m`S0+sNHk z3_9r?<`g<<h8%R#3_0jzGU#M7=%g9?K_|^{e9%cV<e-yg7#BKe#yPE1&z&*qblPLd zo2%2Q4(F-Uun%_r&d22RLMM}1YWZvDx=lO#d+fmTUu2FHv(sLo>OGQ2&PaHZYZc>K z>YgED^4Gg03xr_75RBB)aP8#*86sMA<657?+<wr>9K)}2H9B3TQf+>W@Fn7h1#}u) z@jgwP@HBGUtAuh)=+v$HBT6@PxV^FjKP;e=dA<Q>Tz6ielg`ytb7dR3vWh_`ox_|$ zC(V$9PMRSHolFLuOa`4aLqF)G8IBJ+X@(qh(hTE5C(Ssgb($IxqfTc$mb|$-b*Z0I zH0d5I>dw$-a(bbY$t<<}2N&iS|6WUCSBrg3=18%kb90O5eQHE5UKU&4_bbM=1D+g+ zXz0BmbAb>n7=n>n8m`Uz;y^?$;#!}>+<wr>9K)}2xx9Hqi@6^oYLw*jfKIQ+77&l0 zd+hMVdF7bU>GjWrM70)U?H(O@4CrK@Z@?MXofqh&bDke~4BN=PQ1b_!bPjV0oisxZ zI%$R+bTS!qG8uHz4E>;!W;j0Rq#1J1Ni&QKoiyW|)@kRjG3s>IW67JV)5|6~#f7_J zQ6;x*;OiebO_pUci<o6D^ts6Wby_>=r?N6fiuDM~BOc7@71?lgLRsfmjBC54j2n3? zYaN*jgkZrCjMUO_ZHlyUBWLH~TA#z*e$dGr!>@9i*U3KtcsXa}i45yyEp)m%wxDS8 zCb_+?z+`!R&}qo<!lKNYiT3P0b!84ZndcjD#&zcfI_catHCMKg>!%oW(mBj2bkYnt z=%g8P(8*-b$z;$;GxUQ_nr&0Z0-ZEN4mxRuaiNoDoYOj8J{qG==RB6YxjJ>JA1?SB zA$6q<tc23ZWR_a~X)h{^)SuE&sYEMfh7|j`4~gO3d(-k~N4QoouFV#A3}wl(M6y5# z77W2iEe+Rhjx&Y^s#>4J+<tm@iav&4<>F@&V)2*}^z15McR{DUgR6;hFSF8@OWsKa zof4d_F29O&Pk7UPYbAqD=J^Jkaou@=PC8do&6REBaw`U%bPjW>cPGp<a(Z`)KKFWe ziq7=z6rJhaDSAJ>JAvW&^zIZrr+265{q*kS=Cn@MnHY6C@3G{~)#+rJ+~WJLvBl%F zBjxl$CzDxf`G32RPwc5Czf)-4M42PS7Vgg@vUmrI4(VoctzumJ^3*U<><0G>gkZrC zjMUO_?LJxC{5seA9Om|ePUaYXl^gb5UNQgOP!YBKCs_-fjz$y|i{o|_`?7bJ3_6`I zQ&6m~TS-(ZI!Q9<WS(!p8P}Z`=w#+>Bllj-A9ONv&`C4opp#~pd+1~`=wveJq#61_ zC(Y0gI%#%Q9UpYk3_0ke8TZpVWxEukP8U3uytz819D9dumkSfMcXg1{3!O}6spX&i z`y+~+>=SJ=w3j(j?8T=0wE4#OqTZB&T&oz@c3k;`NVAOl1wyc32u5mYxVEsY?Y4w# zeGYT`K__zzzsmiP=mB+KJVfMs(@)kyr_GoCq6zKVi*KLhl?*zyIQ*Q7e@h}?s%DZw zC-Zy*&baQpKqoV28@cXk{-BeYgHD<u2c0y-+(RdmK_`<zC(Y0gI%$S}&`Glb>iD3O zX2?M&&A6Y|iEhNG(?yRZZ>~=1+s&qQQ_qsO4L><SCzDxf`6=@vYL%&)s56H@ohQYz zPMJpwPP7)a#;oRA#kjWW%8tS}G9XzX1Pg{>q?U$jlgip{Be>S*Ft;CcGRN?%T;2!s zY4`B<B3CB<WfbU?ZuAODK3@Jp$|~ONpi{RvD`?4`+#>d`QzU~<=J^Jkaou@=PG-(F za`n~xK_@c@oisxZI%$TvhfXGgP9}p+nxP+b(hU8elV(NK@j)lekb_Q|aX+n7*Sj(5 zbjf4Mo2yg&!R5uyLRV;MiY{_`p_9ohwfvPkdquguwM0@6??j|nuN)P{GJiYqve`JU zRg7!1g>@B4&bzyl$$}wrq?U$rk3C(*y0h-?WY$6_lR>9+rz(nj;hn|Q1Eb`zK&KIf zDvRkg>WKC$dq@VIz6@3pW#vD}Zd7=fWYCHGxpM%WOa`4y2AwoJpym%cX@)t4PMRSH zoisxZI++YQnG8B<hJMgVGxUQ_nvGP)2c0xS4mxSZ{j^Tw9>u8BWsfCqu1+&Q+eN!d ze!VyBuMw<-{IM*PS;VY)qXU$9$1XbDq@B!=V$U<~qf{FnQnzjVNcStowf$PZq3~Y( zD|LYoEEs}8C$5bvYrU%0rxY{$K_`>>Rqk%j2s&Ko1s&?czk3CpO7}TJr}Ib9^^&tB zgHD5A9VM}|HzoeJv1HJR`?+%vaK?2Rbkez;YOZV}mr^n4q;r^4=%g8P&`C4opp(g< zlgXfyX6Of<G{f;hC(V$9PMTp{=%g9vv`(v@#i-L2k0o!ePG>xo<Tvf^iAZ#gpAevv z$t<<}t&3C_xp!@(^NV@8NU@}etB9yCZqneYKXa{OTw6Yy{0B}w`briE!Ga+esiooC z<5{23NLA}|nA;CJnPd1>?u#8&MD1k{DDUeZ<+#vkaK2iiM5C>gDH*>l3Z3G<uO+PC z+fk0jV<dx4=J^Jkaou@=PC8dm&6REBGARa~bPjV0oisxZI%$R+bTS!qG8uHz4E>;! zW;j0Rq#1J1Ni&QKoiyW|*6H-?7<IbpvE<FwY5k`XVnv#hRH$7gxy;bXWR~QXRiLK) zCxI)gh%Y}@mG?=pi@8gQlqp+@lKtz*`+mi^wpoGpVtE@O?*~G#U<gKPX}C6@tZk@j zeGYT`K__zzzshYqQA#A}?h}tY)RO(7lea^8vB+OTBwt=xGU#;r%kpB0ol7+Syt-u2 z$voeHGp;)?(8<i%My{lqKj>uUpp$0EK_|^H_t42?(8*-bNi+0=PMV<~bkZ!hIzH&6 z8FJ7`Gw!E#dj26sovwK-d2@B@diWy+=D(l?E54D_3!O}6Np4wBDtpAc0!_p>XE{fT zHE&>v`-Q$0ZL{{3_x*}-?clHaic8fv7YM<EAsDHp;o5q#wy&!7In3<`oy;-(Dp%;O zC60IPE!G|GE&D^K1P$Vdw|}(|Nq=rH8Fb2&J&yP>YbkL!VGqfmlX<=YXIyt)pp%)i zjodOdf6&RyK_|_SgHD=Z?xB;(pp(g<lV<1#oisx~=%m>Ub$rlCGvuI?X53Hfl+Lq0 zroVb{-DAm{tJ8^UYpKceNV2!omeUKJOlC=LSy$g~q7gq-5H-^CqnZ>;H{%xy$geZ) z8^3|P?^ld#6Qyh^9`xc}A`pTFLoiZH!?ib3v=nnxt<Pa@Kj>tR;a9nuch}SVkIh8= zu61R9==6D-o%G@{iCXi#l0m1X8Fx~mMw!I)l9eTcPUiUroN?WGflg-5Hgbp6{6Qx( z2c0xS4mxRuxra_BgH9%cPMV<~bkYp{pp#}h)$u_m&5(mmnsGm^Q<?ZN>U6_n$(yTF z*rTQNZcz?u^-DE5z0k>ImgJTd@6lT7`FR{s;Y_%^Pl~--xq>b<$}Bo=Qz|OPwPk+G zDJl--<qCvg!4Qnp(r|5jS({PS`W)u=gHGlcewAzWdL<2ApIvkv$mao_dNtid17;_X zf4hXAprKR8?wje<n<F&pRXNF^lX<=YXIyt)pp%)ija)}Hf6&RyK_|_SgHD=Z?xB;( zpp(g<lV<1#oisx~=%iU=b$rlCGvuI?X53Hf)GSGiI^FbG^5*JvCP_sxXm3p#wfGA; zz0k>ImgMq_XTpT2Q7oB=N?%gmC&dQ!4Hs7i<rQ<%@}u9c7}wsNT}Zq+TvXl<gkZrC zjMUO_?G{;kLe=^l=Jtb5<`{mJJCV^V7T+i!KAXmxK&O4@D~q}3Qi`Ju`8p0dMO3OH zx-1G(ktd}jgHGo82Apx-d4W!5&NgzB)cipwGY6eCLk>D=hPj7MCWB5UgHD>EA9T_T z{h*U(L)7s>C(V$9PMUE)t&=}hj5^)&Sn}rTRH26ao4gM;MaEgaTTU-@GMOd0W%ZHY z(0i-@WNL6{r@T*!b^oH6$o|JZ$}+>2_x*}-?JDaCrFgkR-VcOe!4Qnp(r|4vS({PS z`W)u=gHGlcewEvFwwO3O^&owmwO96sPOFBO6eoJkr>gG{Nd}#ArYJ22|CyOumf9v6 zbTZF3;Ee0e3v|-Cev#{Bt!?DyW?m&3bke!p8`eq&oisbLcB5p_Ni)nnbTS!qG8uHz zZ20zNvLAHPtm>YhC4)|y#VRvTGU%jP$;cIwK_|_Mo!ac^6vz;xPC<_)Z>~;9j>Hpl zy2tWfYaAh4Lno72lFQ#HD4kIJnEwcUxnqyKPl^Sm#}}Duy{GdB_RITz#ke+b$|Kr; z&dVAI!Ga+esiooC0kXEOs`WX{?FXIAG5jjmsCWX=^_3-Z^@^1Jp_Bi7B2jPkCHkrM zLCK)g$I9|c0Iy7-e9tyZ2A$0F4LIYv^8%f8uJ(7Vgl*)$JHhHeC!PDyW`ktVNwY;Q zw@L<`G{f9OCzC-ZlR+oVns#Q5p_67AyDyduI%#(40V@WbG)ws18p)uOX7Pq?cXT?O zEk>Pgdn|c#b!xvimiTdeF<Q8S4*@!v%#vLGdBlWq#J*4Q#nl6g<b6`?(|nIu(K5UE zG-tWI?^ld#-<6Xe$7Tu0`}`xn;@)7v5RBB)aPE|>9j|JA4s-iKC$pbl<=V-A+|{~C zZt;26rLsSCx*)$7vqtr#B719o1Vg9mSL2CxFV9e^RD2%LiTk;85OBtI8FVspwvk(+ z<_|iVIq0Mra?nXL%sq568FVrkbkYp{pp$0k2c0yVr;ZOgX@(qh(v17*C%cDvV$|u5 z$C5W!rwkn|G0!uF>Q$dCrx!Yz%#z%)j?4)Y#VY0!9g|Oz_ersd4P%Ke-&PRQUr&|y z{fcp|uV*E(z6|FAAy_a3BegVKTT<3eQ?)*ax&5G%Ifh^5uD^~YwvQ#TG0PO$A36on z#}&&?=NDfk<#U5hp8j!#r$lVgv(7}xpp$vN0cTuyUZ9hivyEIMHGj~_%t0s3kb_Q| zVeX-m$)J<Tpp$0k2c0xSKj@@cEp>d*Ni*c2lV;pc>lD9Gj5^)*Sn}rTlyXc3apg~+ zoiYVKi9simS&~~;iY+8Q4ogWtKX9*|E=;K?x+LyPgVscGt;%uj6VGTWbJ)FhG8uF- z8L6dVHc!^pQ?)*ax&5G%S?gE1PKCq8*;T`-$36GjY4%+q&JQd?SzaBN#|E9gomW{D z+`TP4M?Ah(gihSgor8cguFIg4&W$Yii>$Sc+{y{=wUf?$k%_Odpp#~o(ruCqI%$Tv zhfXGgP9}p+noY^c&kWE>voG^4lngp)mUOv$?W9@df-7YXI%(#uu*K1-=oc~Sbnibp zy?eZaUN#;ZnV`LUDQ+_8v`}7?<P4X8^t29N!jk;4th4)e(Z^?pXxK0N<bA(lTzhNz zIl6hs)yZVR5IIsy!?`K4_P(n1In3<`oy>lI<o?-B>jS5#h5TGm?@k^2?WZsPSVj$I z+mb=2bE6JY$&p29{7>s8gHGJfor8cguFIg4&J7&Gn%G9}=c~LlmkpM`hkGfmYfp4_ zFU2*(+(RdmK_`<zC(TCpaWBO+t2w~E6xS@y>$&pyusdm1c8Gf^u35=R?xlExvN7s( z-($&}yE~;jI*%5u`_4|f+SSQqmOKp0%2j(Q?b`CmJM8=xd7l&$PZ!YAl^y8A4Ob_w z{jAnt+E>rj$z(xQYcf*Hz^rS{!E`~@`W)u=gHC3xU*-0HzK}8`>O*#rcTYUo^@~_e zJ$7WKiZy?g3_5KuxSDnqt68!1SMH@a_jBhU;Ed}s=%jPQ4!AmLwlurDJ84#Ai>s4n z=Qg-HX@<FnP9}p+CWB6zP2BD3q*?t)S0~L9R&aMG&AbO(oir<d&ef@>H%6U)|Bp_k z$84Z6S5MjvPq;dn3_4wiwTreMFBM60Gt@dw`+E~@%+l0bbd!2js5If)R-@;6XKvgs z?*~FK=w#-g6SH)q=6NGkEp#$-(8*-bsZq%-bfnP)Z`n<*PC0Jurti8BiMV_5h&&GH zbbMU|%`g19U3NF?j@^m-xpM%WOa`4ai+bSdq}lzdu1=cuy5#DlS?cqyPMTrvp_9p= zlgXfyW+!gCI%ziTuB($~b$zZ*nhk&8>ZIAwx2{fes>Z0(ga7ChfAT%LHTSr^{2D(= z;M&P#(5Xq-pS12n*2s!qyE@ge<QF$@=;r-rva1u<Hk`WD`|1EcDMBZcK_`<zCuWJJ zEcIsom207snS)LygHD+%Jfz;~W_Z^xaCOQRl-~|K=kthfE*+Kqpp&)!C6!;2%kDai zbI^(VxpM%WOa`4aOZ|p5vDGf7S=q+!lbvP<@AC_BTsvv@^&NimAa*57-ZaD9Lno6# zCzC-Z&9XmTD*F{Q`rZF)fn>OL(z(Uox=(hRU3kscUAT7A>`WY2r=7K9)aju|o=3DN zyIeW)ih{`x*(1H~rMSr~IizJhKT$x`4!aQXI3Yi(NwLVr`9xUC$zGb|UW#+=z!kf^ z1xmP2b|wp|T9c7l8fK-I@A5WQwLXWr{h*Us>sLAdi+p0tinZPvd-y!?WOsFYL2)G6 zhYIr&ot6wb<@>p?XqhLiy(FBUprI4@bLSx7jO#M!q;oHuyO-jcrQPZ7PMR&P>0XL! zR=t{gDXtmj9y*x}I++YQY4)jsdnvBjfv?<4am|LEb$2JtwlsGy#WmX?w+sEsF4!<e zogV#1r%Z8k(&C7JBaghDAg2+#lgXgd);&2X!H162E#Y{XgHCnFWu#|=)>1^biCn8R z;o9<N<>z8v?iUEbf*}}m;@VQO_N=OfPG&#oWHRWKDUg}oUtLdq8}Yc%X~NWuv?A9$ zs=kAd4?6Ak<fcM>)6wuIV<m%5+|Qi@=wveJq*<pQxYm|G@-H>~zxL0s#>o4Z4c4$6 z=de5J+@OJcY}lPN!`wqBlR+nwK_|`f4H+%_VRzE3`M!~oVRzDO-1QNX)u<Hxn7{hS zwb-3>uCZsl^Ub|hvlw-H?BRy)rFfG&$*I7NQ<0-9^VC8olUbw=;oG#7pi(P3{e+i` z6q`9G39X;Cnd+V5sq`zxwJG}_rdIj+lma1GFa#r+wJfvN7lJ`2Gv`;i^Ieltwz|8h zRVAJx=#)HrGWsZgpZ$iH9|F*6Sjx22eob;p{0A!roy_wMsD37cPMUp__$QgMjoj`A z)8u{Vq;vIGPL~WiX_jaV|GgRLq#5QOI++YQnG8B<7BO;?><67RtNk0FKXlS;!aZIi z=%m@Ed6OlBPMW<-Hp9^=Tbmeldg9@Qb9FjXt25mjwb#zIZ=P%oolIsCSG?{sglcBC z!V}!?A#<eI%)mD^YkD_&(xD;OD#o>K&#t2z)hbIC2*H9O7|E<<nYF$U3_6)PzslKG z4@z)mBuy(@N8X1{>0bAxA4a911qEA62Ax)aH;|?b+#R{<#sJBnlX<=Y)z4(mNwY*_ z`Hy_qMy~l$Rt!4n+@IMv2c0xq`-%U44Rq2Ba}S+N2Axa>oiuCx?~k${bkgjxmmez7 zNwfTI_#p+IG;5HG=L9-wHhaP>N2eMcW7O#n4=<dn)9+cor}YbW**lZCPj)7=h%5T< z8ASavc8aL<7jNLCSY)6l)!Kj1d;OTIRg7!%Y`)_io`MfQ5P}6mFp^oz;@U*AcA~2F zIn3<`oy;-(Dz|)VZyMR@oVR>)9v3<#jMs~9-Sc~^U*JbDbn=ZHOnXyqkDS<^GtkLA z-+=08GU%jP<C*+Ow~gG59=t0;C!M2)oP$o9eLa=u4?1avxra_BgH9%cPMW3tX_V{- zoiwX)o}bvDlV;z)94;Aj(yU5q_sLGP%IU{BI(6+9qfSpfyl}2g$$LjqROaXQ`5E)& zaM+zpW)WAsm~?`Yc}7Jp?A1o*NU@H|4pL+XqE$W1bFE@rdoN-Mg+IwJSs(-phF~PK zmSxuZLNMrL=KLyG`t$+X+qOOZ)2yVt51lIRKSJx*ZTIfVRZBAH6fyl6)j3?uzJ2T) z$)J;Yz5&(GWY9^oy={1hv5j1UCHy1?opf&DJ9l@|tmUQIG6$VB!`wqBlR+nwK_|@; zUzj5MK_|`TrR9eYbkgifNq)#fC(W!scuuf8X;!`cY)7Z5J!91APY*Agt5ecbkrXWV zhrOvTKdPaV$t>cEi{<uH;QHOj{cYUcX~N;XG<@09y^C79yA#)TdQmC7bV*)P=wveJ zWHORj%VIX@FZumKs@CT)w;yyeYyB#B=*&L4_F+-Q?+^00(CJdreH1ryvdDzp_!<E^ z<sQAC9=!~=$KB=(bmD&Q90XK9lR+oV>YnFEwQb}suH{_<I_X^5shoRg<l3w2Oz5O@ zn0x4CGU#M7=%iV)vwV#Toir0E-Q7vEp2gkWNwbQL`Iw=TW)+%^b#&U;KSrIN{YR(s z6OxHJ_0QQSi!YX~p_9p=(~{+B#NMMtA`dj^EptS?{6+svA>J1Lf;Nt*$F+)a?ap#j zslb}Dk_AGrU<gJsYguNkF9d^5X3np2O}eHKe?F;4%}!UB_o35?XQ@O#+UHHxfOk~r zRPt16v1)r#J9Rp)gHGo822?+jK_|_&|HC`EZREm;uRWoY&dr&{Iq0O>SN(pL3_59s zxra_BgH9%cPMXE*!#f~!(rm^yep!IsNwah3co)O&q}luNyvsr-&4l%{qtodjG3xZ( z!wcu`PW{@a66@r()5Qwz?qo8HxZ-B*)WT|%C!$aoFBK`)^0yQsUX8=v$;;f`iED?R zy5n6;oC~O&$$}vm$*g5@&L?Zvs#>4J+<wr>?B`cGU+t8l&%F!Y)@9slr>@shh%&cE zd5dgucc(FfQ;SoTHbnlMlylID`?+%vaK?2Rbke!r2i)CBvk&v!-AS`H!`$6Tv#}9; zJq4XK!`wqBlR+nwK_|^hM!CC_W}Q9m?xfkw?C$QQS^LWF?xb0}>hA9JZbXba{pI0> zb9GvOyOQ8H3cB`QB2N>$lgTXNiV?A^i1NoOQ=a+!XduNJl&>TzmzYKMGx2iy7312y zDFd{4C?9Gd1Pg{>(8;WYP9}p+CWB6Wx>XW+<X7BJ7|Cj5cgi)mk|^JCEcH#sFW9j= zHTy@t;{4k~wSVD9CUoL{?i@fTlR+oV8dTsN#+E;prP<HJcqh7Su;Lf_Pc>q9(z$0_ z7fJ@5G{f9OCzC-ZlR+oV7H{VB!0x13;n#e=*qt={CMEA!*qt<+afGkqusdmX&AZUq zozjhuQKuIko&;B?QvPtkZ{eMKsFd*X|23IK%=(N97ZJ6()5p=ABgGDksvw3fTSwDI z@J8xajBEeev6)U3<y;^H3x;4Mvl#bJS$js+`W)u=gHGlcewCY@prXimVgt49$1j|r z)3urvM9RYp=!dC1mC$M2rf^X(Z#Ei!jW1WBlX<=Y)z4(mNwe<Xv9h+2dsU5hJLsfy zO$%@iI%(!tZ}~ze%`o@S$z;&UWY9^o!r$<@LMP4IuIC*PI%)Rf3EnB8lV&ZSaV>Px zti{WTj!tE!#HiCt4=<dn)5jl^iFHScP>c8K53nkoOlA>R1b#>?(ri0M#Zs)1hd_!w zFO^t4N`H<HPFX9NUoo!TnRPGCys$#DKnNBL!ANE;%dGW<V9?3T`BkobSQ61??Mb?u zmX8lQ?eioOzWtZTbAFv<&?%TLi720U7u6`k#|NFv^9`teCWB6zRr-~$lWZe5B_97t zYv`nNx!Q0JI%#&h0`FMRNi)nnbTS!qG8uHz?5A@4iV`|$mTf4XD|FJV?R<WiK_|_| zG~{O*=%m?+L-QS-d^2Oz>6M2U&ef^QjU;01zmL6_qFp<g%p$I+-7$%n?RiGi)GH@a zEdQxQqE7LYqIffY6#5n8+Jj@$h-^oANdqBRFa#r+wJfgPFKaWaTA#z*e$dGr!>@8v znj{wU?xzx6mb%wY;$R|Ce&%Pw(~6G|I!%{jWKMgS)*s?WD|9l?H{gux&I@$XxjxaZ zoizI=+O?BrZKGW~X*Mp}wUcI;d+1~`=wveJq*<wG*G`&siFWOz*{o>SPMURycI~8D z`)Jor{`oQL^xDG<=jzmPP$a#cF^k%@a^Dp<nMGXDeAzZS(99!_w%H)3n-nXMXFCOk z{7Vg!?vTu{7}sW+d6niY-6mNe1Pg{>(8;WYP9}p+CWB5}o9?9R6W>t$-rME4*qsLT z-%M?a#uj@|^07dtD#LeB_NT8Yp|x5v=*0cpIe<<kgHD>&%)^grTmD#<X0yI_-xb%a zfXzDxb|=jqF63(+>`t0t?xB;(pp(g<lV<Z4xbKQ<miHDve6Txd*7;wa6YNf!P2R#6 zDcGGfJD=ZuSA5mt7<GE%;Yo0HYMkaY<=WALqQCECGK;t(_so;@xNR~qdp;i)DfaT% zF&fyipoo{$-JQ7h%L_$B_#4gzRL*3<5R7D2o|vp{AZyF2TA#z*e$dJ6=U2I_*N)TW zWQ9eKq3-U~bo()SKPRV1Y%zmQGuEA=c_;p+Or!Xv0(9bj?i>W1aa{(TbT0b)PMSr3 z-$}FR?>lK0{e36RqQCECGU#M7=%iWn_nkD0{=SoD(cgE{Ec*LSnni!#>F~-Jb$aXJ zg>!Y<`?3|Sl-EuhNAYt%UfG$<BChD`ZAf`XpQjHamdYF{mNi3tsv3EpD(_y&wTf}= zk$o3v&%eth3xr_75DYq*wb03A(8*-bX-msSRIvM9I&hD#iCAUJN;IPuU3+tnTJ-1R zgH8$7d`X{<M^KxIe60wbxSu-*(8*-bNwYcic-OJj7@FOm#;>L>8*I=+-mxAUtn?w? z*|0n5TFgCmCzC-ZlR+oV9{tKMc?wqI^VO_>Ja>1}Y+G)g6YNf!UBAXV8+IqnayFXj zTsuAdB}Sdzd3az~r@Do^Qh#~v6#X+hlUc+SHNBmwbDF30)lNPvQmp0gZK>Mb6vCrk zock5y+VrE+h)?r)M+k&q!4QmO*0Q)Zjja7g)%qOf_JdC57=D%8AJ(4g&rT&CA98o6 z#i!bmC;eyQ!x(pW`c$whMfLcNhU9Rsoy_wMIODqW0-ba&`e$~UMgPoBv*@4MX%_u6 zJI$hhW@j?!WHRWaS@h5BG>iV3oo3NLv(qg4XLg!J|I9Ag));mA+rtaz>Qu4Q=ia@i zK1JR=_lulH>`o@Lh%5G8sNwDKbeXsJV17iCV#B8v@D|Hmj#gyj7u|lvxb{_4dukYq z-(CxZV8IX!I+?Z5$z;&UWYB3+(*oX^`>WDZ^^yX+)6s8AddrnaNr^JM?>n6+T-Cd+ z@Qd&+K7NJ8=VDph&z%G4WHRWa*|DEj$vWGpO?R7j#mff!r8MUr8mwEIHS#`oC*2Qo zkKM^+(8*-bNwZ9;`29lcPMWQ5!tZV2+DWsAeffN`J871*06)`UchaoM;?>UXRCITY zI=%Ps1iCtXS2`bA1s~c+{^m<;=wvdBxMFgJD%7M<Av;~$p)yB`eLkQh74DVayL&`k zu2qa{+nvl!Z3=%OSs(-phF~PKmSxuZLNMrL=KLzRrB`wKx!-i}#Hv;0edyHrGcQ$Y zRwgq0fp(JN$?iikqJzta+x_Qq20EGN8&LgB2Awq9bbytxjoin$tL1&@q;o&D<{Wg= ztU(2S(*inahPj7MCWB5UgHD=x$}N-qpp#}(hVVH+C(TaIW5uA8X0IFY1qpQ0tiqwS zj!w<&7<KyK;e~T`I#6*14Jes1>T#7lvNd!vnMGW&A#5jomu-<9nPRZakz(a9Z=hfM zu8v&#yd2jm#<gER{my%$YFfzxAy_a3Bbl`<v(^`aK_@fkSGlz-exX5+t3?)TQdHiD zPB&g{qY4E}+2#NIN;2rwrS>)|u;i$HYd&9JKqvEjc`0x#?z})JojaR^Up?AJE^DK$ z@;-FZxvi`C6(w}itk+n66%3s;!`wqBlR+nwK_|^}j^=FuI%&31Dxr1K?Ad+R9Xe^2 zX2C|upp#~;Q|xeb8t_|;I{o9}$#QkNSue5J*y*)h_VRDCHFPqWMO;y5X)19n%?$fc zKYnpZihVOMxwvuk@5lk(R$QwX*OsX?C!+D3;*teIuwV#AGAln9G-`bz7<4joewFi$ zO(tR$Ivm-4SOa+<I$isaQdHSk$?h;<pk&bL;>eWZeu}Mja5;Y{0-enB4XA!5gHD=d zUlJuVwvqexex$q)opdg&0_UKUW_E@Hl0hfUF!#{OWYEcE&`Go2>3AD}PMUpc!OCKH z(ky%+s|}qr>r`Z~WY9^ob<6iVI?XvAqfY;Nc;Q@~>ea-DEPre|CR;-%lUc+So&NTU z8in#lu4uej=18$qX}w}n!&(uqrm6R=6yw@+@v=o^iO;{t5(vS9AsET5Wtp|U5DYq* zIls!acp5Ge@2wM&x;4LYf=+1{dPUYVQz9}p;OiRbG$qO_Mzk3iIlCe&0-enB4XA!5 zgHD>AAIuLu+sI{){8iqEPCB<eHRqs{W_?~Ak_<X&hPj7MCWB5UgHD>|e!&_;C(SmO zU`?QtW`8x>Eg5vuEL{TD9Xe^&cGw|DC;M!SI(_u;!nr!Jm02cyP2a`gM~%BXxy&N2 z=rJ~dnALP7WqEQ~=14L6{xd;i%2Cfdd`f=BxL?{|&UuebW$gkXSTF=5nZ@qp*7`y) z=wy!JSGh|$5{meP^HQ#Fc`BjPu~Z2}BfBH{((<xGr>J6|iQk`%rEiY&vO*_w4g#v5 z$)J;FO;7EU8QaJ$OTptpC!H(%HRqs{W^bzVT)DfGJJ0U!<T7`6a+$k3F<VuYcOrLp zVpek87RlV*iCNzjn<R60CuZ|o@p-ws6SF&KBOINAmt)lFlZO}1)hR+=>s+!AQjXqy zSkTF27IB6D!dz<d;xdg|c3kF2v6I0Cw5I4XiksyG*DA)f;YVB0{A>p$3xr_75R7Ej zvdmgv2nL<ZoL}X-C0Rt5_RFuxkHfnxbQ;!e4*ihWrl(y`Nd}#2y`4{;p53C8zqvY@ z=NoXwb>{^->D*@(_@QDOxu(N5%KOks=l;0BO9-7bTfLQ+8aio)xra_BgH9%cPMWpc z%-2cKNwbHqR!Rn)G|QWkcWCIOS-m6tvH&`1Hq*Ps(aE|MqfS;BFPy7WlZ@GE)bOs< zr>*-&fypf5iX303plx4lp+9!>Whg0@e@seh_{R#$a*Cgq{fcpIt*sL%uz)WS10h&2 z1S6T1|B}V1^@U*2$;|mx?%w(|G^^-hdi;u)3pyprk%Zda-ALO!tOIm9pCL7!dA*hv zyye^+RcoGaAOwR>I@dD)Dw(m3+^QbDT+m79Djwivg-)8imoLP%PMTrvp_9p=lgXfy zX6qI$mi?fUW@Yd2FVH|I%?4NtB!f<xE!xg+GC(KIelO_0QIPL`j5@{ok4|~Y?DEc^ z9u_tFX@qQz-N|H@T7G6Z$0mqs)RZ3$<gif#l0^+0&hHZY9X7X9nyBBxhD#O*!Ga+e z$*g7Z7;ddE1cOdy&hO+(CQK0(=PQ1x0G&9OEmq>F><<@72A!C-ycsX*o8ucLgHFuc zIS4rYTn3$V?wcLEWX3jfyWjKf4xMzaenZYdC(RNS<x6MmPMTrvp_9p=lgXfyW)X$> zVF8^qtKE|y%Fs!(2|x070i874RE1xSLMP4M?cVL|PBosysFUYEI-Sm#TEsv6*1l9D zC|g4(lUZu{nN7MJD{9$h_sNdg(<AYt&RlnQCuW`<NutuVW%Hqv$)J<TNM<d|WWEp# zI+;1YlUvy8v#6#USrh2Qx$%wSMD?l6mz>av*{?;csK~r$C4)}P+&Kt1{agl}bS^T* zHJP!ET%smd<bCL*bBotql?*y*)@I^$$)J;Fn0x4CGU#M7=%iV)@#kef=%m@t$4*NI zoiw}t=%i%ONwcuP1<9b3X0_5>cXaCcSByG^{YR&-XA~BNX8aTJhF;3n(8*-biP@~_ zts@Vtxg~R?6l2z)@ruaj=MQtO!~WfSA+mH+RxA*L1w$~BS<B*nZmll_gHC47@8oVg z+8o(`6~Cl_PMj+?cS7X!@;v3xiCLz&l_PIvy)PMbV&=|4!0G2Q=%jNuKl@W=Y$I2o z-XHQlbkaF{*;C1&lV(FlK9dYOX@<FnP9}p+CWB6z6&e0O_JdBE?LBZ;GU%k)hugO$ zgHD>|n8U{goizJ8$umc%sc&P{DfWMKdUPa?_@U%<I$xR(3p$z1Qp?Zm+d5-t@#1qb zM-FRot|y&5#;<Dp4hzfLoKn~0YlJ`u77W2iW-W`yaBF=b7<4joekb?SxNg*V5kKib zC(b?E_yhGUepoW-#O&Xn$J5?4yqiELX6_sWoPI8YPCB<Y)*YF#ja-7NL3tlK>D<Ek zyoAt6vzCK+siBi*n0x4CGU#M7=%iWV0lZT}C(Y*Vz9boR((KA*-ie@-X4VwmDWQ{Q z)#KcCblUiDj5@{nk50M!^`I)-uTvvGPX%-`nWdJWS&0*;DeGf?e}x>@=kb23lWINJ zI;=*r9rV*IelIEzf(1h`l3DpnFmepH))#_7Co|`Fa>))x(%A>A<bCMGx$;+z(4T|& z8U{KsJCNl(m1}!cGU&w2or8eW&t=d_=gQUMhm>vP#!fyX??We@%XE*QP@$7%SN8Kx z37s^<+(RdmK_`<zC(S0>eDMLDG)otDL^9~4S<~!?B!f<x{cwq2kwYiV4%R*I=yW-3 zLrj15Ant#3dUUO)*t}qf9d9jF(mI*UQp^9~R3Fj!pVoHs?qA3pDYl|yKanqf3H!x- zK1IJ`J!kY4sqZAVyH8IiSs(-pDz<u4UlB1Vp<R6f=SZHGWfl9ouh`rtj(xEoGoNB+ zKj>sKzslVz(NBnf^V=I+W|y_lDdF+HqU!9L_BW3TNCur6<?bWi<>+EJO;%bm=wzO6 zK=m^jbSgQ#w@B5sw(aZZm9@6Y9sj$xNII*WJ^E$1WYDQW?!MyGqIh<rjy$K(X+)Ji zqEOu;cF$j#K__#J|L;!5di;NPG8lAfHglkuHlzbR-_P1WryQ|{2y0s+n)Qg+2s-sz zJ6LQTe>|e_TfPsScD!vR0=>@I@iJ7D3_6LzT||jg>+P^{-b(r#RNf_sQKxwS(dmyd zEkxOA&FuV7YRT5volIt_<zJY-jhNKAi@oAK9|9>B?rkp$HR)w<IbE1*70WoTlNdXx zkKN)fFKZwK3o4dvcPCM{Rxf+kHO>)~DA`$bTGZX1beNe>F|!|ZGMQiHw&m#{vJdKQ zf7XuGfld*{ed15wH};(lr6hw+-=}LWe!bMe&M-$v2A$0F4XA!5gHGjdwi34<Cb4HU zt0`-3m8&tXwb<+ZBQoP^UMlF+IDcD_>i43Nt2=WJI_3JSwTN5lSmeT{JkQX{90NL; z3_6(%I@OQ$wOD_z7QH{lYD1?V)^``X^Z)K``-atqP7M-w6KztIh+OxabI@tlfEr?5 z^|SWVbJZn-PK7^fBwjaMYG+SZ%h4%YvKV!W{~w*+KWr&#-x?5pFB1<1olIt_<)0kZ zRJ70CtYYqze5j;Y@!uPYy+5st7*?Y=*DCh;SM@~dIMpIE#Lp*LAOs64R;oumapX?L z$WpO5M`~%tE~_Ud4$B|;^jTiXe2SU<pp(h`D!2Y-1F`epn-SG!7Lm2ksc7@YV(`jm z`#u#dBN=qc)2x|Do%3bIt+#lWfKKN522?+jL8sG+TZmoX&-LzoR9V*AD%Z7cbJ6B{ zgttZKN|HgR)@z!GoO_c~|7$!3bb5B6nfQMHMen_dTnnAdG2%;ZStf%{CWB6=3)T^p zM;@oS$y}YTZfGRpZ(K%ue{*$Ou&lXAUa%B>m57gp*I0fR#DIEY&fT*1gj;+cI(<8< ziFlcKM`ZdBH5{ENO^iAv_>WF;+7A|qza18ttqvaobTXMmd<gBDd@n{eIu^0Ao%>`L z`&>^^ciI=>@!Rt9`&I7WjNQbeu3_F8i!)0W2*HAit;yC+6kC|c8#R}6q?RV?^KN3t z#+=@~W0?6AGy6d&llfKdR<`d%f-Y0S*GBMkL#Ls&`ik$i?%0>RdLhZ6Q?f+^#QUyE zBCogN9Sb^{=NnM{Oa`64oiR}KpR_&Vx2xr3t*vsSg9AhY$`jFkNm<FD)9yk2MPS0V z@UE$tL8m$G28f|&v+P^^57$B`a}4NYGU#M7=u{_nH}RwA6#aaP*8{s#pMSp-880lS zdtKcpyXnQh7Y|o|P7@<|w}MVPzvwQijp%GQ+t1H5&}q2nE6(1@VmBNT?&##p6r)a` z{YR%eX;O*H`R>@U&!m>Ep_9ohwfxK;CjZlZ9EVSl9Jcz^2iux&ajnC;JqU}cv6EjU z2STu52u5mYcnr7J7lJ`2Gv{}5i86e$$0qnk-iJ<{yB+7X-Kbt%d3?}`S#$fbJ-|*P z8FXUi&OyNG=Q8M|bMH!~l(n{zTi7&(WY9_H9(p(joiwZdf*Ewu408{iOa`4y2A!VI z&nO1ZJZ@+EE2-=UoxU2KQMA2w-0qx$&yDr5tO;#0h;407+hejPmiM94KV8y_$_cL6 z^M)jo3_1<@F11)R=BB-GM@mPhaXDhtDdB%~db(o}-FZ?d%6BojYz>`EW~t?8)-Cu& zRJDYB+T^ffXUawGqQB+T`W+UGpeXAAzpoPr!Ga+esiomD+*)4<2A#~D-^mT>SRu-r z>Xp0?ojBK}Md_&ZUwSHOotP~tT|Dai!OtXvPR!gn2sr&*2Ay=Sad}=s+sM6d#Y+gC zbgoK#&Os;5mcC^MoixMTLno6#CzC;^5_M-1{gp3j$eV<+A9R}HnMw6M`J?uy<#U5h zGs{n-eb@3w-N}<cGU${{exJYpZh@#b!?{0n$~tB^#miPGD*e8sj!vuc#i&!F|LFAV zxYA<Rr%c{bx6{kk(8*+$T7G8tuJ;emoQ91ihsnR(8c|{`PmkYW1&St%Tz~nsobEsf z77W2iEe((1*7`y)=w#;nPVQpLnGtVNu{zL+bN18y6-Kq;>Ba8Etn=87;cHIwZUUW{ zxpNS3`ne1`>D=el(#l%f$ernuMl$H6bD2_d4mxQz$iuH%p_68qd+1~`=wveJG`v$O zQNPG`@0YPs$$rpjbhlFC%ZFRN^K$UHL8lC>N{K9;mU(v-<Lv@ERmfLb{F}1B_xL2P zg-*q~lombrkoWnaw2n@P3&*Ha;{WJWwPGqUdi-9>ayyG`4V_G8spV(ZFR+o~q~Rw; za@f{=ODNM?Hs9~Cad&6Y50^j5=?;Wo!4Qnp((o8=tuF+FPG-*U<QmLbL^o5#lg9#` zI5%Y7YU<I3cLeCfEcS~nH2pL$HFRR;&OyNG=Q8M|b1AB2lC`#x+tnqbWY9_HVyEOB zbkeN7hp!8vlV+HE=wveJWHRWKv`%8NJ?j}NAB(pE=#;xdVv#X;nnvW{bAwJdCL|G8 zSDc{5#aMUfw6%G1acS^D+B%7Aq0{|zDMg&zHeEiH$<gU~i5PWC@*kbbdD_tV5gEja zRM})}=wvcWEkCn5Kc*6sYVu)`!=5ZiESB8lN59`;7dONczh#XjSs(-phG3+YhR1Mg zeIXchGIM?>SMIY!qH_&i7U;ye`l*tOSJQY$g-*;;l};lv#OA4lPR!gn2sr&*2Ay<n z-auBuHgYtd)qzerH=!Empp#~gO7g=NI%$TvhfXGgP9}p+1)3D6DMho0{UtKUe$eU3 z?c$UrPZkls3GaZ=>C=<4G+;qyk*^ag2AwK*txb~)XA%``u7ysGeriH9i_2@T51AdE zl9i89r=<VU>8rYl#rMsx*yW1wqZ&Gy%u>tGY;2|bcBRAb<usDRYUF-tfA@kvIPg2H z@28LU_P(bj3xr_75RBB)@EC5bF9d^5X3p>A*427rzdm?V-iJ<{^OyR=PTrh9CxcGR z-aWr<ug_vt(mFA7=OEzpa~X8fxxzD82iwS9*cK)kbkezO?KlUWH2a}J9Lb=QW|({E zWHRVvGU)VfY%1|?->-Jl`uwnkPUU*15__zJcKO>M<*`Ahs3s}JnU;s`L7(^~3Uul} zG@1B)$!YuaRj!3jW9B3g8E;>(U!{)Y=u}3;s8h24=(P3m2=e_=ENaeTS0|HMYWbNx z43>`ixbA~IEOJ=Qv*A$%F5Q#N@31zJRib(~=MNnMAy_a3Bbl`<9>cBmg<#Oh%=w+% z`;HW~Nqs~Ooj7;DMfs=`6`#utbYhmROsS|u(_EdHxpNS3`ne1`>D;8atb}dkzR1Ul zKqsC1;hd|JX4m(-I%$TvhfXGgP9}p+9lFe?CHo3SZHsbsN}6##wLVoa>g_?k(11?0 z!)McXn+iphy7#YS&}r!K$>cp*B&u*-k344R)V$DGdX%<URHJdOPR**vs8jO)==64G zQ8D~cI&Za$JiXYROlGO&XBK-@=kR7}_|tT9Shn+DMT{o?$kFex4%Jdc9^ZdJvOowH z48cfdEsMu+YkeWu{|Gzlu&A2vfv<{UV0Q~5p{Q8c>>TV?6g$?yuGel?#ZJJ$WW@sG zRZJ{))_U#kTpO{w^*3kE_wM}-&pr=64}a|EIdkUD%;%mv_wKq&I;nAHM_hfjIx$Ng ze4mVT!Z>p?LoM%3_?9i{gzQVl*udd)@e>qLj<)(7Se!7@3EN`a@KJcCb0v=N$Er;_ zX>lPrFpjE|#&W&IWkt<syn4T+lNLwoK{~07bXq>XJbbOY!+7i!-ttg&8g4ERl`?NP zwkrQYFw)8GP<eRm8EstD3{NT2$-kOE{IhwmabLQxf{{+mM*73C7B!83#{PD^XE&x< zsygLLq0@^C`Jwy7L+pS*P6z3vG6Tb*BWtyI2b;O#nTTT!wkSS^?LKw^+d5dU8%x>G z`iBIwIAL}tjEPw4LvL$x!bm4P7Cp}Fi1V8l&1yv9Tf3wa#<jP^v9@LKU3bz6nf>W5 z7Ly%6P(nH()91kA$fq;XNsEj5fe$0N68E+?>Pb3jabb%wj&#x(4F4h+>7+55d(uf| zq?5`>r)PI_K>5f^?Bh^8y-BBxpTz&>3BJV4yOISXo!S)11-)F(GwUTh4$`UEt2{7b z<8k(ECT;>qr@345!L@RnmHqSCp_8R`sygLPp_64!TehrceuycHMw3n|GsxvfmVHQ0 z7_toaCd|S9otPO`+3?+Jvx6;P<N}ZD>=w-8gxQ@iCSpaj=tFO7a>7U_HO}ma`<<K- zJeC|0uSqA2%k?=c1p44707xffH}dC(Ic|7?CY_M!b6|1g(;4Zc#m)JODsm<6Mva%^ zHR+_q4GhOP(n({!a`{OojnUkbPAVgvR7N^gJW__edtV6d48qf!bjs7jkKK7*2>R~8 zYD_vA{VTCAJqp35^LD{Vr;4rWvaV?g!uc@#P!j1>EvN<CoV5Vt{rTFV6Yr3!PI*%3 z<TX7V#8ke>M?J+Ml1?f!$mK`2v*=x(P#MoI=3v7O$^2<o{79YI!PeaV%>5qXe*v&K zVRk2siCFRBUeSl%*5rhdPHLRl5qG`RYd)ajZSk6P!niFtAM=^V@oXiXkd-`plV6F$ zJs|0XOrHabBcIMlCoQgj<FrAVP8!QG5ce>olg2vc$2ihSWBW7UmYsCc7|lKDq%zV; zWuy~~$P8Y;#Lo+4!EHC`)U{h?7**r2_!efo(vVJGEiys5&YZs+@J%q%savG@#nHSc zd43PvW06kdj<~?wZ)bV=vuPb$@uY64>XbKyPI*s`Vv!~v+t6INMI@b6W{}H|tZ+y< z+rJBRosdnaU&VGOLDvacc%_;)kDB;79E+o^&g@PY>7=$Lom56Tsf=_&R`ynat@}J( zCu9XKRIp7fj+KLSLe_e#pY2pS+}Ds!$n-fNom56TX{^_1T_=rYS+47(v9@(}oiw() zlCG1+XzocTm61*=Bb{a~ieTTzm9!NK)pcsxFoGSJThg{^ldjVo%L3M^yQl5hab2hW z{id^SCNEpo3A#=lZcbu1mwDStf7f-&*gI97@}<xzPc1(v@%D3IagNhVI;o6wLS`Ow zul6h77b1>HC6IkMw=uC`8{Gby9jr~YidNJ0M8PahnB55@oiLx?mUL1X>7+8!37L=Q zt;A?={74v8CuBFLKRA5wz&*i8CmHvqeV}VJ?m0*&WcnPCPAVgvH0C-7x3FCN84Mb0 za}Kw}Hx>4xB*sy7(&9Fz#W$p=I%$mNo^(<f>7+8!=|;UWaQXQfV|&AUk&miVK;tqn zdG~7L(;$4ml&aIt$z@<e`2|ML?s!U3bt?I~49wZs+}I>PZg8kN8QuM0+N>hRi22_f z7dxMUsp^zJg-)INxxhE?Z7gFe96ITwGJ{-xWJ!T**|h`sjEOmzcjri!_9<2(vxEJb zGLtpxgP(x3IAL}tjEPu-0sGL~nw&7wNsTi*;*JF@VzUx(A4fW2+}p-0*!m{8%%l^t z(TmozcjfW4Af1rub6|1g(;4Zc#l0(p%fOYm+Fjp?*QApccX>B1HR+_Wg^{>rC!I7# zb5A;{jC4{N>9i@|FE%&A${-vyA)P+3Uu;_kD?5J$_e7-Ay{>=QnbC(>)(`j|D(N)y zNE!(9-NP!!;@*yQde%7|Ozp9QjW71mp;OCYsp?c9g-(B<0Xusj3xxH=vz2sGnL#c; zvbrbIL#uOmF<}n&U)*mt=_@`IFgw_)3-8(Su{#8_IAL}tjEPwBRjZ;8y{*X!Bc0SZ zvm>ro*bnA%2CE|JgmDd;riBt+@y?TULgqHa6$S>`1tXo1>2qLl<kK1Hq{R&^iz;#@ zZvRkRLefc#YyKaqL^^3K%SPPCkxm+;xhI`eMmnjCbUJgiIIG~69S*O<Z8zyuCa45E zkv2Otes*6l(&<RF7uz%=8_agW3Qan#9}>XU)e_%LAxi`4RB|?B9XhzdSN~*(PD96} zs#C!fIxXy+8FKb~$UVNwPX)+t?p2vVE<ZB&rmy*1lm4Ip*`snld6BvLg92nT!_wJ$ zX4M}QsEl+{852V_7*u9*!bm4I&g_V*-{udG>8d{{z_>!}6Hk1PrvT}MEaJxtp7}bS z)ua<LeGV*+d^#hYw7ASR{Xv1o+PUZt3N-erqyC^kV{z5>2L&3VxhI`eMmnjCbUJCz z35&{{<DIJN4+@H$&Ivw)&hezN`h$YFm>lpS;Uf2z|7(SGy0j%Lth;%WH*c;#DDd8$ z1uVbr@g>Lf2L+2JrK(e*6gu6m9my`t_q2KB*7r^-Bb|`7n_AlTb^@MlOe%&fVR!{w zkxlpn-0WcIOjT_?ef7N)#_5c7QW@!_GSW$9q?5`>CuIFHRI<g4!wWA}CuD7Ym9-^i z)%Q-w7T)r)W&VKs3(^UhJ_n?e%19@TWxj_>aPem_Xslfceea~PSEDeFs*}dzLcR$` z)k$MC_oS1`NGFw%PVX<rvCY?t**dj;C-PBsIx;Vg{Z1-oOIm^#F{)1a{%&B89~8HF z??%N)r)TL`v#k|9Y|Z=Q#h9v7)^f{On5Cp`iT$giIwgdqs#D<<I?X7zhUIMRXKO$G zmPkz(JC%`6$d(6Iw3T{`-#tJ&A^TCjx-Gcic5EwkLYBR#_>kqwm4aEEFuN1RM6AJ} zwlz6nq>~zFcEoKtQp0xhRh)QDI$_+>getaAlMe_+)d|_9CH^+n>x^Ke6Eb}cERK9S zBb~H3*5ay&;Y!^62)rG+sW6Wh_`HjB(%L@w@0wtwlg4Q7Nhg(&PAVgvG!}jwZ#_sS zjTOs?6`FL?SQoF8f{{)d3%h$>Fw#k5XM(Rebh<ewRh^2Y(1|r`!i;IN*w*LlC{mM7 zDl^FCKgUDZ&i-}zvUDLLj!AYtdn4wW>tCz?;!fCBGHfe;tH-)%XFI_xPMF;ZV<J{$ z6>Z0fwp(RelY{B`NGG)qvyAg+P1xV}E3Ah-+KbnulWUb0Y~UIfzW)Dx`<zc$2X;Br zBHrdc#zi^$(C5J7ge55KZn4(lHCNc1b1lW|n+n^#G+4YQowPa4kQe8VbkZ2jJ?W$} z(n)2clg4@!Y9aEGP8vJ5s)=Bvlg2#mG!l$-(%7M5c+8}e#twM3b?9UWPgSR)DRg>s z@`KSMwixd-wT(zkI;qScm%n86U*n-B4cW=gcnC}~x5BTCy}qqr-y7i+nI*%vZE~$= zA!%^REl!x-31cGGV8FJOMcXd2t;xake58}whgrt$2!Cf>`Z$^mGGM=?(@y@)xVP3c zHqW=MV2fnjt2-|2biZpx+u&y6HR+^|*COLoMmlLMdLg#uN?d#(E+Ofp#f^5wIMPXD zr>5iblTI3=xhI`eMmnjCbkbO<xu^;0q_LS<>kCFYY3yl}x`L5T8k@YZv0$W=#wIRn z>CmafvQ%{{mO`idmy=lQl?80~zN03jlgbQo`G>^6VRw3u=AZK66fw#2<xFCim%H&5 z^Kl8yl40A--@jNVO=vEd#R;=JVNAq|?{^YyBSqWQvaQL%^n9d~+J{-j{V4r{MQ=;X z-G1Y8kxp^bUNWD&HTlplSUpK6&jasRfrQQ6?HE=L(n%e!Mdni(>7=o|uDA?biSypu zK)fcMw7A!kaH&ZrjTwKVcBGTWXzocTm61*=Bb_w1GA*h@I%({8Sdd_(lg2t7WrC4T z8vC39kC}AR*vD+m96GVpsp?cbg-)$k=ZD~kjJAqDT8Y%8lgbQo`P;WG1T~IT;pJU% zxtL@fee%Ps8_TR+T=nXNZClM6WL<B;IMPXFq?5{Us0IVFZnFnjxom54Fg+jXq_#E7 zxZZp6!_LxS*7{p<9Hi6mO9kLS;zz4xd>6q;r-EGyL*}cq`FT&Q#-tPG)91h<^Qnw< z(pZ02RDvsU6ZSR~uSq8@E@(1pM>=V2@$aUBkxm+;xhI`eMmnjCbkf+nw5SB>q_N=X zbp#`wG`8a?2u3<-tg$N|GwGzUhS{4tbn3e<Rh>$t(COp%&M+mT3qL(n?tkQi0+o?Y zFIsek=Rf+h?@cg{bei|86P&Qcu}j6f31*gxVcX1g;@ONp9R#yDVRk2siCBXH+rAEp zXY*uRlY{B`NGG)qvyAhe(-{u-`<Knjfa;J=E$VfFNmnD;dCy*gkxo7OcY{ekva!dD zaj!@^spGZCd@3WIG?sP}s>qeNJY})kkxp9N?ax@XNhgi@jlc^p>7+55d(uf|q?5`> zCymV-+fw8soivvG6O|>MG}f>No&uzk#vV<?Q;&4gn0<OXhfcHNQq{>lg-#I_D?+P# zP1xD1cqUPGQkg+6e~UL2q2I`C(ElyQG08^yR)GD{K5%;qUI5LKVcWV^KWI@5<19{? z-3enN)?mQ46-C>+vaQL%^n9d~+J{-j<v3UY3j36Sblq?&NvHiME5gW?MZk9y9v|t{ zcVcB2xZoA5<Ar+((n%e!Mdni(>7+52M|k#gB`#k$p8ceg7I(J;#*t1MD|fS=V5F1A zXzocTm61*=Bb_uh=blmIBb_w%s#`6=NGFXoUQ<Ib(n(`a9x}m5CyhONQQx6c?DkZ3 z@<^f6o5mm5fJv)Z#Yec;`QKJtVFp_MG#}XzH(xkZ7UP&?onO3VWA@a6(&2c9m?gt} zSAI8uHGTEHlgdaZmEo|&R$R0_BHAvHZA}iQ=Odlewq_Z3#O*z6Q>8v6?bG*8-G6>y z`?ghuem8WTDwh4iG8Gjcv^l5ig!%M2usHhF8R?|O^?!>O7_P)kSc967PFh@0AB-cN zG`9FD?x#p6jnUkbPAVgvR7N^!>|HV{OFC&Rcn}kebkf+4ErEiOP8w_c7UzI;(pbZ< zjU75&+>@$KB~$2xH;6x0g|PIy^u3eHNT<KMnz7EkvcvqU`rc{h(fTZAb!k}C2Mayv zgl#VtFAqs+FrP&#rZUn=WjK5xsc35zZSTvrCI{2=kxpt`vy5Bm+KAmOSQZLY*Y{3k zUNvQX<`#p~HSn0JIu*0EW+l46Wp&2m7B<S!hdu`uCyaE$ele~#$I8o<xE4biir1u* z7MHgg#*t1M>$6wiJ86vOo^(<f>7+8!Nn=M3>RWM*l?v4NP8ypwLEk%RtSHyF;u<S_ zQs0WdJD93Yo+)%n=(U{rZMn@CHwqO)r|P6K(y8;<)hu(L71l~V-9;RensnT~jLm&z zFy74B2ir=9ZJ*7nW8C4_Q!tAYW_QAvh&33nZ2{5tglubaFg+jXr1oK!ag$F+vDqIy zjYEE8zq2IE=(U0s8|a^yC3K*8O*#!N70n(M^y1n2VI1kCj@KgFs*H5f*x9ySMGRNs z?x*i8UXxB*-1_slk0YHl_N6I~i>i~xXzocTm61*=Bb_uB9E^KFs!kf)eHHg-RGl=I zD>vRQQFYST*0#70rs|}z&0V`Ys#Ad@sp?cJg-#8dhp=qT3-aUhaG0c%$_#S(e{br@ zBGWc!8z1AeG0CP>XvNkguV(4Dp<-squ<e}L8(Bm)+@4#UFuN1RM64LBXgfr-T_M}z z@etGVkxptKW*JwgcWc&kP7J#&w%VFbZ=1DcA1BOY=?$n3>E!#PD_foCxv{#Rz7<!; zYjO0e&kO0K#r<B6w;5cC%iahd+mcRN+_jt-M>=WDdl4=n>7+55d(uf|q?5`>Cyh;8 zf|`&{8he@_uNI_}#_F_fDH!Rbv3tu=JJLyGch+`x=v3`wsycb4(5ZLY=WM8F5+4|i zXB_FIG6Tb9?KtTri!E{18eK`hv)i@kDO;N<q4p0~T_<c?vR8cI+~KGl>7+8!No7pL z8Vtxf^@tB#C)=7FOwUI;scp?N4q~6Nt`mj^7I~`Q*_CXZ#1@q;XdSQ$t0(ESx9Mxv zVK3t@!*RS(jz07`usC6)6ZVU7>$jphT#4J;373_0(&8p~VjStDvGXyg80n-jntReo zWu%kJNGFYzj>Wr2(n(|UN~1cYlg5(eew1|5SlCv)LnWOwHg$JLhfeL!r>c{83Y|iG zWQ2V~ukvH9@C+uMR7N`e*Do`){59HIcqA?}W4QdD^IhR#nE>O>G`+E{WY~7V#*xO` zHBm8(6J~e9n1~g>tRUJh+c47jPPWB<i0S!AC$$f=j2loOBSg0BXx#p{hj>jFJD>kD z!l>(BwRbGlFLu@HWPxQ9^7GH_^oyN3UW=n&eO^c>E$&xWJXN?7mn|DsJJLyuyLuf@ zJ<>^IULmM4>7+55d(uf|q?5`>Cyh<**k0r#oiz63E^0zLX)LHPYDYS0>~2?7n{?9H z?cUuSI+?Ggs*_I&ozA5(Ld$<%S+Dk$O33F<Dl;%#)&=<(+`Tu7b&kh97L)AJ_1bV@ z<_>mbbw9z(l409N-}kXHfACq4#R;=JVNApt4A}OxXj?(HH944`k91P|Fw3~YJp<w3 z``xU=9IQm7({p<uj2pL-jX69>Fse@P+yJUui?Ya;czjW^tvX(d6Gl2|ac-mVg36V+ zVx_Pul1^IOlh>#Y>7=oMfq0scP8y@RC!JJAI;o6w(pbbls4VHEu}>edDw0kb3$BP4 zHquFBuSVi&K{{zHd14QTPL|uL>g1b3r_cAx!o4w<jGrIlbWn9tnL#f9xXI<9nl+iN z4#zkqS%w%tSob_Tyj+e;Z<Y+(?mn9vl0WMgJC%`6Dr2I(!GLU|X!}IA#hk?Se58}w z)-2=Z_?LzJRdd0?GWy=B*;O&NYc4P}8kdlCI+ai!n!Z28CbYz}nsmZ^`W#ps{pyT# z(&Ea#$ED#)oY8_6fppU1()YtS(n(|Oo@2kHlg4Q7Nhg(&PAVgvG`8y%?vqF-jpZGJ zce13D#)fahhb5$w#<IT0ibXnUEX(%}4xLWgQ`M<-3Z2gG{Kx{wlxNop>w71akxuy| zKCx|MGeEmfs0rybs^EK8J=7iEzQ-jbov`iSaiyS12x@0xsD#SwP8buh6!%`V4U%n5 z4yNZLoz#4085dIZ1M9o5Bvg;baZq&%pZ1Zh@y-YRA0i{2LOs5+Qa%sZ%8R(yA)VCm zT4X+zkxm-R>Z|XaG*<kku9L=|T6CQ>R<*dkchVTmJ?W$}(n)2clg1)F^}UnEK5x`@ z(pc-Kx=tE<?W6CVH1^V8-#aBeOI4>bDRdh6Yz1p`;-m3FPN{^v*s07Qmw#vWRV>W= zJ^OuG*J)t)C}z8!8wNMPr6--R?cUr4AhawlA?c(t(n)1ZE+Mj5(YBjxi#f$l3n}?X zCzY9H+|EhMSsvefaOsAw(~fH^*n*iEq10tvrxD?6*oiqu8Gonig!%M2usHhF8R?|O z<u8sEhAVNt=k=|)7Wa0kz7^LP<i$M}RVR(n+>=f!Bb`)6I%#ZmAyk5@lg9q8YAG01 zCyjNvgO8P|I%(`{F+66fP8$2{)yYwvGQLh#C%+UrW%pmi0&2hH!X}ZLE_Ny-ohH6o z!XnGwvcAYtTf{M`Sp4RN%**4{At+u4+e(IQ7o?jN=;Ch_%;JREoiHY14F+uMnr2pD z5!u${V0u2%N$tZd;|85x#5QHk6=;5s{Ze%*dNY#MtJA`I=3+y^s5-4#6~zLtH|OK8 zV;of{b-WgtPi3T&#u^Q*A!4`^*Qszd@%pC1+@Dkzujyi^wH@B0mSCil#%S(ICzX*- zDkGgVcA-yz$VWP9tU_`{!AK{KE%d1%80n-j-+@&HBb_wnJ)*WlC;yMB>Qpv`PVZtu zS@+m#{A^=gCzToG^0$6Gh;5kT&-fZ$r{sk_S*3If*gW}x2+|4LR_?ou^*X5Qq%zV; zWlRjqU_j<3+76a&O%A5#Bc0T?W*L|NS|}UWHIl6;gSkkj&szqt`u_b`g&z230_im7 z^Kf?J?n>jD88rnXoiLw12Ns!6Wu%kFT-xh8X)K?su9L>@UeI;YSh?o9P8y@RC!JJA zI;o6w(%78Vx=tE<bxqevV~z9ZI%(`lJ6$J@J?f_G)be|(I+aVIQ<X7~m|L?iT)g!r zrje?X%1EbDEtA;3hX$U0udY+*&xfqgwuHp{TlDILZ7<r^9d4FU*GXlhlgdy5g8|u_ zGwTlbmTgTArspG_)V5|Bcf8PJcEnacamjGZMLJb2{*1-154YA{fp2z@PW?Y5vj=5* z^3g+ayrdK6)91h<^Qnw<(%9>kx=tGV`xlqyrqcHKNnIx`E`I}ECymkElTIolom56T zX>52?T_=rQJFn}cu}WEWoiui?rLL34&a~Hc8u~X?oyw=sY2&xTaO3+u{(h;hlgdb^ zRfmef%mb^eOLC(ojN$SJY%L6HH(Uxdt-!P2EE%><%3aR5dz7w|%19@bp#la2vW>aQ z8PCYJCI{2=kxpt`vy3y;Dgu@oxs9&#aU7)6+4!O`*e4;e>IeLA2I&-?y#xeo_2&sI z@FQlV6Xw(BfOJwB>7+5=^}0?PtJ%7m$VWP9EKL!Nql=x!TCdP`(iqJ>>7+8!NoAyy z#<oZ6I%zDYM<vlOUF<YA#H8z_u}tfAoiygURo5vh{f^Xr^}s)cPOJ7bgl8Rd^9PBz zRio;pGSaDM$Hwq;cqi7rB*u|WlioCdGB?(;D34%lD|N!Q8^r&zC{q{jBrHyt-3cR| zu<bO_wvud1I;r_cCzX*-7biA^pz|Bq;~#ieLpo)e-3X$>=df3g+X_ZH6<Xf}g4=yF z4(x}=M>=6XeGW(`m61*w%YPQ%I_2WeV9=QFc>NOv8hcv@<47ls!4drv1sbEdC!JJA zI;o6w(%9<%@XFv9^#70LZzCoc>7>PVnH4BlLnZF(87u>|chcfMU(r8NkdP%+ohqcz zslXTU^_;bH8kY^gy#(o`GJ{<Hwd1Qnn{B69Ku(NflKs~*0D`*zW*6Jzp_(PbwyXZ6 zh0X2o%(OURb|(ynZ!lonnWAm1Y-@5bJs;_$_F<NB+aCu&y*_E+Xab)7q*Jl>)!@pX z$86XH%uhPKDP03R`YdBPis6|_I;rEe$b2dzoiuh~Ol1+nmAHrAc!9a8uubo<N{~)k z+wX(1nz#gM<JIS$bkgEzJxC{&kxm*58R0MTkxm-h_r*^z(n(`^tCSIpbkf-NF<7xk zCyi}0S9NT~?KxA`sbUJ9BBp+1K}(X2VeaKbYSKw%2D$vLw|rsGOTT9m&fuXk$&OF@ zz_M=21-&!kkj#={+t(fQ!^awB1+zF|b|(y%TYP*@w7n+UzLsrG4yNZLozy<eGOlsl zM;13bFVtU!;~<>|RsYH|7D^9^$IA;wI&BI6!E7FfS=@Fn!AK`{ycU^HWu%kF4wds3 zF<gl|f6r6ACY`jn#T&5?(n({_JbeWtois*sPdcfLbW$1Vq_LpVB}G2cNn`7`78i_k z(pcJ;MFk_BG`6Z79y95ru@wQO9Xc5bq^eV;6gp+^wu-$;KiJsDP1i|f2D$wIK8j{} zTU}vCqS10D*`cv38Dw#Rg6(j*%#vZ-uSpqUVtQRCm61*=W1_uyP$1eq5N*fFwk8MD z^N~(!TeFONzHSvO@IC`%+K>H`PV<{sSXbLC*7^vJjdXg**RgaV(QMT1Qi73Am`|Sr zi_E7o(n(|U3hFv(Y|TksCyn(A*LBj^-t4+g8l$-<om56Tsf={eSgyRfP8u7rOxH<c zm#^tMX>4FYT_=t8ch_|)Q7l!RDyPsXUt0z<*Bs|FWAVows5+_4AT?QOYXC2=C-4_9 z@h5bcWcw;NhxP$6{BJOR39?zTI-^^G-}Bl0#wGlgeTx%jmn?o=D;W1+7Jqaa<4C87 zoWZcU(G1>mKQhuu%||+^jC8U$YyrzWR`GRP@f&JMCtJ%VFlNZVe05k!!APf;;={Fv za~<Z@ewP=FbW+DlI;o6w+GMK(RZRzYt6eokTQ0S0@}@4V2;0LKxYQEtreybKHiRn& z*72bQm|#?$jwIBBFW=*NWN-Yj5~@yWAEcAYNGFw%PW?)D0rU5cfzQ9-&nr=Nn$)oq zWH>(Ddi{J^!KgZUKW`1a%Qfc3$738-r@>i#!J0FTt@NBKf>CuU6kHji&%WRxXRA5B z->IQzsybCkq0_f<bzw=m46IYI{Fxr3LHtvhK`wundez`USwF^Vl@^D<BwO*>2kaIj z^Bm(Ym|3!ww+q9wD%IK5I`}2S7AMRu*`?!!;f%Egiwwj#CYNE&qQbCqc_15B0hviM zH6Q7uGP8_ZKCBc>%D`Bwxy40W(#h{%f2c9KI&1S^DZxmm<!5R_?ZGA4hJm;Qq?0;c zi_E7o(y3yBK=_d9v++(SE*F<^cfZwyC0Sk=_uj(OjCA_Fr3&~a?>9EShI2(a-CkG& z0zN%3w#bNWNhh@r(n)2clgdb^rtb<ty$2sz)6Up0>GbH1J9Hd&lU*B$jC9)Apd4IG zzn0y-fH9;~#+g-NRNiZW3p3;I(vVIS78+sT(S^n=Z7Mr->RUQhodQzmH1b|oc+DR0 zO+Nl2HB~2-8RYU`&CwgePABjW&r66nCfS15{orkfFy12!zqi{g*<#OrF!_cLZ+#!X z7R%y<*(J+TvmY#(@5RHfV;qx9v+tjN@bW?lp8qH^lVoZ>(n)1z8FxHie+Zj9g#XQm zm5p>-9@7`DH;d+-C*${QlTNex^nwk6$N0Xis2J&_j@Kgdsf=_Qf4Vyq8vlR?#a0k) zxr__E)&r`A+~;-6;^{~_{qX1w3rpYN4boH<jC7hbw<qMUevdcUgUd`hseO=6DkGg# zMmiN9Gzz-c@irc5iItahvi2MSzcOaD`WN*OjCAT<WiYf~QiIQZh>Uca-nkxZ-RxpJ zToZLCoi6lk1)u->#l5eUb?CInKUJNorqC(Pj!Lkr&tC4C6Q`GSQkg+6e-|DAvwF_s z1xn+^gh_Vcaupcp?$3`5!KpAy_JLJ^!~xr_WxM_m(`|9W?2^@OPys^UZn3rt#yBRI z=0QjW7*t`Mb$w-ICdt%%q?5|bGA{4?$`IJ106*9UzeSI9YV|Y#79Z)wJ1x<F^<W_j zfOC_hIDdr|kaSYVYmxa>MmiP9R2fR;JjYu#@DgpgjEff+iA6)M@I}{=kxqBwtH9{c zN4$qWE;H%$Vqs-i-|_}eKg3rs(n;-ubW$1Vq%zVe{-Y6Q_~thzbir|uPUA<`hJeqr z6HUGGEBHyLZ$GO+$sI2Ib$*N^oz@r%L!O{xd_)Jls*p|x&w4@O;>Y=c4J92q?FdL! zr)nv5dN2OhgZsHOeCBSnmvmB@K`#GVdkq)|1+1NR>N*W+>JKl=_c1o<hr>3@INse8 zBFla==K72k#^Qw8C5vn932FNOG|qjCaZE1Fy6m1X@JJfA{~<DyWNJRrNo8gkH?d1u zsN%Z9_;1e4qAlsvA%6gD`4ku!eiMI>gsM~Q@mi3OXM#1uI$bAqycU^HWu#M$1+~D% zQkDC;<1%m=m%UF-=-r?ZAAJU^HtBSvM>X)jIiCNtloX6~TC%kUyn4`vA3BfoOggE3 zkWMNiom56Tb-C;Z_O>(F!{ew9>GWWEIoNQaBWu@L*QwvYN}_t+F(&ucb@CqQ2UXjb z;0F)mv5-z3Yypscb#eaejfX?0i?veKsd@^XF8t{ULp*aB%P;p4sYxf58RYV>ZrlO( zRsLa|&<FP>OtQiC8^ME$E!Za?{9z5VWUHoChuotkvUzo}B3PU-yJT&;R)^3=lUcJs zjAL?XR{X67V_#2UyUHOmNv7r_om6I)aUW~dgQ91<u#+s0XiGZf{I?a{it=S4Q8<;P zQ@LfG;rp~R#@E+Ti744t9k0a+Bb~ba>;lc(t*t$NJuWGiaSdHM!=G+<4lf>o>X1&y z8@7dR1FBj3t=4twpU@G8jvJO(@G-U}oz#9wCzX*-DkGitLrw8Z4R6>pSJaqvN~#3V zy8b1$@;j~(Ri`Zh%^>%%2$s|Z$4k{|YjSJ&^dpD$&R+duS14^4*j~7MV)fI$4xPRQ zrK(en6gs_MFa_?kkK)s}<1YVy)k$Fnx%|(*OodGWy?FM|-Xe}kwte<gsQuD~?`eT& zgITifL(PzWeJg99^!S5Z7AMRuS+$X7@L15mdgB-Fb(mb5;bt?usaMY0?Kv`&WNJRr zNo8gk_s4xIJQ;r9y0S8=O*)-)odzzqDs%54IOU|1@z7L=t}~8r+lJd!(n*~Ii_E7o z(&==GsZg-jeD0SA=Zed?yUnITLc7_#)pcAx(rL=6sZc$53_k|?-swSqaeQ-T@N~Cu z`%5~hef+OFDRck7>ZCBzsbaP;*mtityYvIg0O{28RT#YT&&BfPMMgRmaGMUXy={r> z{O}@6I#v8T5Gwjz=Zi<+9<Yu0GZ?~tj0U#J%I}oYx8emFrK(fS6gqX^Hv_8NePT_2 z0)L^AbW)i?F8{cgFlZA0JF$CDJX9u`XEQTAuy;33nTbDdW0vgmh*2=L#2aJnDflyh z7AMRu*`?m2VE5M##=m1Qj>)Cj2BY9m{=ddfy^xtCQ}dBdDl^Nt?e3Ex{{CX)>daV) zNT)u#r^4-)rog;)Jp?12o^_iJH3oOE{{BbTNgc06=2IEzv^R1(gr7ZO{hNfhEnLP; zEi)aG7A0Cwy)Q2q>D0|W4ZhdeVqM-E<LF`sPr?8e@3+Q}$0a14)IKr_E`HTiSr5`l zWu((&@vEURPcO1ZlW{#rr;e8<!qJVf?28*R(&^fnsZceOA6q(5*J)$H@o?ERl&4>U zw-2OK!mz0j)&cnS@Jf#ARINp-I@L;{Q~!qIZlKdcUj7#rX3|Mz2D$v3E{_8LHXHb> z>Uj1u$qo)334t-SdEG`h6=uo$Js%3WDlE13_WvcO+v0@TCG)>E6pnsgWX&ai9h1qW znY(K!ti3YL`e@@%@!BMrnvZl+nOVjynLYw`j3~wr4A!^eKX;6R4;QBJV_&gSl1_QX zj)Ew*mlu436*Wq>RmW>_!bqphi-tqnj_>&FPF|udmvPgFiC-X}|B+Xzg;kq$Iutq_ z&V+yEmE@1cl1_zs4~MyBK6Cf<c!43E)P6}Pm61*=Bb}B#G{ck*SB-0Y@CV^YC$F4l zNat15*ljVMj-*qy(G%f#?uXXumGTJIQ2dE6jT9dzygL3l?;VQI3rQ!Jd3|A5?+^S> z)e;V!Od+Z2R6B)E+j;_gs<44Ccfkt+>7+7)T>jCI10m~+K0N0HJbWe@KV1V#HBHYw zpW^n{ELrUP02uRligmI0erio8mDy!n*5?6`+;zNl-3yFka%pa#4uDs6dt2|@keMV? z+mcQyGt0Qr;=>@bLLXa0cjK~9b^7(T7Pz}t<{5wDUW{~_yVnSR3r^u(>fyr!(n%e! zMdni(>2zOwQSP*hR{o<C&J~w&Pj)bH%XE_0j6p^^4Ke`u``zb#E8yKS=~R0sgSSo3 zajz_R+LBIcAEcAYNGFw%PVvj?!rN9yjomuxIvvPV2XfCSV{AVO)ghfO7X_$mSY|EU z1mj4jW*>dv`J#XMjr(|2A)T&lsSHIs?Bow`7IWxi?v$!dfhlxqFtItrcTKY18i{8d z>7+7)T>g6bn!t!<afwAn;~_A~s?Dea_nRy?_HU32+e)^!TMg*7C<hz76&15MVRp$f z1=oPsV!2p{Ef~k-(tIx`?jF<SW7A`inIu#5kxnWz%edUZ086HD<B&4=42*R8B%b6y zZTL3uOj*1eC7pOkQ@GZvrgd!z+^&*N>Ub?OpUOz5Hx-(JOPRbpE*&btWn9?{O`*jk z4_@g9Zgokg>Q9<Lt}!k7!{r`=kxr!|nnJekWq9GKx=v~zq?5`>CzX*-aHs|p+B}a1 zyW%*gI-MR~8}8q0$BGr!x8nUS0=(Y6)7WnU>P|Y@npA=3)w^<^@pu6wo%Zw!f+4rd z@#xMz4xM7Vr>c`Ng-%t(7HsOc1J?T0@M$gSq%wnCe!u!-AXj{sz@7}JjY+m}=|2$C z#*Ni~hG&CWvKLoE!EfGBw)t`v!7NUgU9vAnLZO%EFjn(A#xc1xi<gB$X7^F-!F^;V z$<%zLlgi98F3>OpGH38%6FZ^Wq*MPVBjH<<mB!oG^*g(@hsJ<CVOnB?(YP$6lR93D z%%?Ka>7Llz4fU~E>(s+#;4*I2`jPN+@kwiiANs}a(~;ru_v35pi*RJ5Q?VK&p~jc< z);uk-EmbGA57J3xq?5`>r-{!^;CA>Rt2P#2lTMMRL!n4?B>OuN8C9nfs|P~wF>dU& z3ziGg>FX&Ilx{zgKMlqG9_iFN{UC7P<ImSzF6YqcWS>-ZVkvZ5`ep%S%y^ccURGM9 zCY@Afkjp>(KsbcGoy~9mz@=f5C1(wXxHs3VLFsV$&61TbG#^GL7Bq&w{v)Q_;)K~H zE0A+Ow5acCEN~g)m|U8!-{(Qx_CVwA`N&L?srg7Jm6>JS-e!y7P?}lR%QjbWETog? zn{Zg#kMU-kQ8B7cMhJ)KGOPI$U%fi1<F&|qDkGgTc3c4cAD`t_OXBiz8F$HV0ep`= z!@I^Jqw3@uHy=VGkMdukxa}sLT4Y}U-h)o_f6L(#l1^$Lq?5`>CzX*-?>9uiwd3vC z)hoCjq?0XcBrIv_%IY`OpF916NZ4j8Z(UIW<4C8uuG68DUo!W;kEMZhDjPK$icfsO zv)%G?=#(@lRh=M(P9C)ugZKLWJmUo%Ch4RygIxab%}Zh0g3HzoYq4lD$*wJ349OWL z7}x&R-(*=jQRtbiC2PJDx5O41r!u=_jfO9PyMe)M#}15Ra%oPs7wkYg)_W^56D_Nf zk91P=nPuGjj*)QU!x>|mbNZVsgIX+w1J8FRR+*%~$ztrX6ufI>=U?~YvQTwW$7_-K zR7N@-=@|*OPo4P0M)-CrmvL+JM8co%ZTZbatnQ@K?3@wMsC+|yx+%^n>2&{I1k8_Z z&3`Y@byE8vom56Tsf=_Q9=ibg9@@*w#(9W7NT(O47s1Z0v)QS~s0mf426H0eSJqv| zF8+9tC7qsUm;+_c?d2D9V>{BRlGj4GZI9+z=Ihld$B0yQ3QD0<jdc?tWZWO#bT3Xh z>7+7)Tz(cd2F&^Q^Ai2#UPrRYiG$&E{SLfV(l;@+X318K>jmjspS5-<_*5{96K0p} zXU|?>F(0>%d;3JhF}XBLeR{#L(B0NKGm)7jQ}dBdDl^NtktGL0qk`3WmR29dYpPBQ zGmd~tx5IghJn4e8>SSv=4t6v+%X|Cb-5%+rj@Kgdsf=`r+%OSx1mv>$Ou_vlmvIl0 zCPLTB`E5Nj;BWkrPMv#ChJ9PzZAty{0z*1w_nrhr-3!^yHo&E(>ZJBTI;o6wQW@#A zrp#3EdT2M!Dx68=Bb{D0HbZjVA;!lMSfNR$q%o7=)R%SE_y(AtblMZ$3+nYf%fp^# z7mRc&`gI8WF7TDJW_cXd$$wm`I@L*`(~W6mpy1zC{6&b|PRmaesLUXjKOm?W6wMpV zgN%6iOtPT`bHM$kKdk{f4T6~^+x{j4`1^0R_J8?FOt-}evrG2$UIzH>y1^QI4&#_y zn#1uK;Af#IYtAraCdt%%q?5|bGVXr6tk9>8-8%pMZ}FORDsw#_gzfO)>l1PL=wg@s zojbG(8pwMr#S1j)q>k4j^Qnw<I=G<>^o_g5b6&@};xevW8b9!|KIeB#cymrVjmT9F z>|fk$vGUCh(y2p;A50ndkx$Bi4_ZhkwGYxsWu%kJNT-<#-Qnt-6UOZ$b)Ck&D+(2x zhZ)P}M@BmNW-SU^rfo}{pAX9b>C`bkEA0E%#NP+wI7lZ;P!TxRXCW_9B9}v__U2S| zs+&Tm*Y_CAigYvPxGo<>N}W_@kjwAxSrPJgPS5^C=Mjg%B+DIA3~J47&jJqOu+5U~ zo9+hlE0|g4w0MSCoG`m&*@wD8LZ&IKM;44@a%uKfbA!X4)7V)LWG2bfe58}g%rb7w z+Jf*fQ*XAWBx*uB{Tbr}b7Cv8O5^ZiOghC*4S*@5ZW=?5;<A!X>Ub?OpUOz5#5YFh zv%RwQxi8)+av8V5W`uMzqO9g{yb&jzLM|KOPiQ6XR}vZNRC0$AMrAl=?R8SuN$rDl zQW@!_GSX@Gq?|Cc)qm_o4csSDbvk!V{EBAQe_8XMxKARTjN;eKA?;{(tPQR&>14U+ z4sGHWB;K%N^(37_EES<ID;QWI#@(UQm>H?+R4;{2y{=AyP5mN`kw?8nYP#5|%pjNl z^uuw`uDy|k_0S&_6dm0c;_6yh$#nP@t69c<8yF17yw9_5uW))SPMBS?q*lSu%=H3$ z`WxezTpI7J!SJ}!CFbgbXO~GbH6Q7uGP8`kT(T!D3){wK?Z=B4=~Uw2FnF4F3Og|f zmymSo@_Qmw*jJ1_?yGOb)$v+nK9!M9!(FDp978GNT6uTNW!%(6Gi<4GE--5?%ttyk z`ZF0~+Geo27uA3G{@o%obem!d+*P84h@<MH_CY$SjC4{N>2&X8a|phf3C`s75cx=_ zq8meCk@*d~QWEz`q*L3pJz+ql4eV(!J_942Dqrmbvj?@ePMeHR?MbKmFdF)l`CB`w zke@@RsClXCR6m7I9U5Aokk1`Hr8gb|>7+7)T>hSZ7C7oQj~8;s0?8x`YPJ&muB^8< zO4cuSXNN{Y^T_qa5u0C#>9)u?mDwe0(jyY44c%g_ycpw{T$=b=k#KA6A>-}N$V`%{ zZAmAUnPuGE8Oz~uQa)>ekNDvh(rG}aH4w0+3h!PJ^(39Vms+6PhZsI1L9b5gcr7xY z%1Eb(*U`|WUNWzJ1($})xOVrW;d1fUJjW3{(@Cdym!je2syF<o3vSP;I&HoY4bQs2 z;pLb53Pw7qeUMHnBb`)6I#t@T2E0FpvsJBdJxHhR$Jan%aVxX&0ajzuDWa+cMt6G? zc=9El@}$%FLQ9~H=SBX0AXYKbX=t+*u;AHq{xWNEhfX{qRh=57(8=|6EKJ*2m|uTZ zMx-X4RA!LNf4W*M)XA9ca8NsZFwZ2blw&OvUK_-=%Eyjo$#U&p0?kaj*u$T=hp{+e zcFCgFErC7<ceC4W`h$WoW0ydWVhQX|fc~IB%||+^jC6W5c?}E*9>PLey9Q}GrJuY3 ztbY=XIhW&<lTLY(W5M{Xrqy;#uTJWCNhg(&PJ2qmLU*s?+_McTK{{2ww+ZGYmf)Xf z`UplkHBYk%`hP9O%Pq$^(y80FO|b8QJNK=G4`fIuwGYxsWu%kJNGD_ID99V09(?oR zI7p|e`BuV;zxUWyJKh$MPNCZ@@FQe2JHG>~BI%T1Tn)c3jp2WC;F^<80iD*tvm4!b zfmLN3I@zOA)u~|$opO$y2yfCo<x5`THJEf#nL#f9w=bh%L#&0zzrei-lWbSNL16q* znx7hs@6VYj&Z`F)Z}+pV{)5wKal-79rO6?_*6VC%YtS8xW8%+XczLBeT+3O@I&B&< zlVsnNe58}g%rfp$M1NR1Bnz+o;fr`ZOR}7v!{KVa5&X(NTt3q2jeRVXUa*U2UXFJ) zQ52`lfyD_UoyNAG2tPNv*g9U+@9bvJnFx)RWwL$ve|L6&Pfmhe3-j1qrePJsu^0?# z4^4!KIc~PEx%E3cb)HElm61*=Bb~DUoCIlS=4G#{;ChfwYl=^RLK6~=^^&j}lTL*~ z#={yz4eRm4`c~YnY%ll}d5Bk+&*Mm^X-|g0qAzyt*(jewCqs0qIyFk6)Ayy-pvKrp z-gr$OaR{W7$_xyrV`_6hI69*y|NLElP%z%T7_6;+*lN9y2HVQG(${js{Gf`~5v_4q zEl!wSvQkHLL*X<&*77wlj&%AMnHzZXY}Q>rKMO`Wsrg7Jm61*j$`*z~V^>>qz4<HJ zl1>-0l!9HRjNIa#K^!0Hl<jPJxRARYPd^r)PmxaQcu6Ofkxoq(RfAET{^L7sI9FWs zV=%P3UJWY!zQLz>>09xB;&b6~WzyM(tj3E8>GZo`b*Ojt5&yXZxA9b+)ILZjm61*= zBb~g&56)isor!Inqw6$iqA%1>bJAES02%3Yezz|SztgGq(ngqzs?))Sg`wocZoJ=q z97h}RXD}3v_l3BobNIB$`hx<W4XNtXIE7C00vm%@(=3UNJ#gDdI;qUSu)CexYC+{u zhm2P$;~_A~KArG|U91M1wHOcIEZMDA1)$BL0qk2xd=zPM!t9bI)+_+)BL}hSJur^R zrEyPJ0M3^g#s-c+W|B<JM>?s@EaR$F5&!kTt1;Vu1J6v-X~4`%aC%`5c6=*VBGT!C zjlsNMGmNpb^}UliUW?49GSaDQheqJOVv99rReVOrWt^XXBbed#%=+sN=DR6briP8+ zN=Pujl^fL|o!s0TLGxCwyju-yOFF52kWMNiom56T&CXLC4yEJFX2N__oopFBVE5Y% zY*;h>sd(I$($Hv%iMjdUCWUl5{G<$c6=`G5JsGPf=~T$K7F4<JVoffl-`O?XlB!Nk zQs}g_!W7``4g`K2>LpT>PAW6V<^S?}ER^h@jSahrXB?9(eXG83Yu+pt*ASP>Osr>X zFqYrPwq$n|%;JREB^%waHMB30zygb69Fxm%&80O2k3GP$8IhSJORwZ3om6I)aRJ7j z@c#P}HtI7j0qJz7=rDj=t=OAWcnXkCACf1)>a(|vt6$;iL)A$guSMol8R_(VxEYQu zYMFTDQVG$P)A3a`L;Q%O#3}M^SJJ6t#mP`4d7HKQQ~l1)H-{PA>>k$sm9Z`9r1n8N zsf=_|8R<0RR4{aW@Rv1D*7r`6_qK<zJMOR@N3f5|;?H1sy1f@XJ{iIME_#U9q*JA{ zy`l2$IBSP3c&k7<b$c)p;;v-1#$+t*xY!MiPgSR;DRi3Be<dtAcY@z8rr+7A%pjNF z`riu3*I)$qT%_OG1<YOoV_8>g`P^y6VVPyzs>So6|IZV~dEZ`%>9#mwcFFqAm=EXY zoHPD-ig8RXO-%Rs(EZyz<GFpvOp>YjNGFw<W!%%fkuYRmo5Z>c^v9SUiBT}}b6)=I z1y(H5X<G0~2(Pk;xBjA6Cw06QnNMY;Q;94qq1ezHeESVtQZD0){a682{O)k$d_2=h zr&Y--z^k*J$5t*Q7*(fkA6CGOV)yu%T0Vl2PHG>dlgdaZm61;S-!FqB3zxB9CGqho zRVR<CQLuD*FV^%0-o=qlV?Qs42~X-6yJW&R(&_Jug>b^a`LTWa=bc=;EP<D~ukwFq z>vwjG_NA&*vlKd&=^FzpHkIaQAK+aGRVS4h<noWLvlceEZ%Pb$goTtzcB0e@m|e)5 zoxP09WtJ>mr-iWRmW3si)bH$6W|wglnk)q0$}#MLKgKb+H1Qq_;n<Q5;(r?>GfAel zC7o1emT}SBm%;NMt=Q958N{(rb!tCu4Xm6SZp=Fxr<ZiPl_>@;9y42Cc;Veolx(Yx z*W!ecPT@P&!u?|b+<mFHXv<~XsNrj2K*pMUL6VnXq|=N<3uGA6fT!()>X1&48?S|% z4{GzPak@@wzoe7ONGFw%PEGemK-N6pS*BpDfTU9{SOS$QooBB3kdaPDLRP?w026z6 z1;<M|?VPw2>e<Ke*)F)|RGm6+TLm5b`|$en^v{a#IGn0Z%~R-<r^0L~Jo5mr^g_Ok zE1!z1%pjNl&xk27#j`z+U5Ay3NoL$Q02W$WSgQ?47E^1MY;r^h6muP6-0gu=YjMKt zl6emafg=A-G1_xt9Ft44UVJnEmb;6M_mXai*Cxr-e58}g%rb8HlTf(lu{<$*1$?iN zbgFi4Gz{*LmQQ#2Dj4aM_1-jCKVb^5(*d=Ml5N%TTAZ*1$&%X42Hxf)-*W;hG?y%H z&TMe?O>6VIq`%3MY114C-k0AtwF#d6q*JB?v%!C&tL^hytcp~f)P6}Pm61*=Bb~N< z9S3n8!<pO4bRr+=^l<GMDD`tByP63Z>2xUXL|FUluJKPO_DMROt~LV373;*y-NV}v z(rMlBDR4AmJ@-41&2h22c{Ej>TBOiv)721wG@<-;Jv?-(PAW6V<-gg7!5x0odgun; z#WBfhd@Kb+Cru1ApM58$)-2hKJvpF4Or-Ho@?*g)PMDq8(i~vUvBFsNF~%{uH0|r> zfZv{*jWaGHGfAfABb`)cmT^V%mw@f9vKXs-y%w)Yr@CI1U{7H;Ys~WRf{{+wSJa13 z@#%Q<6r5htNgc06=2IEzG+lg|a`PVvyz*|m_24qD$@aF8@7V=jG(FDWP05Z0cYvC; zGTNr?!Kz3)T`AfQy4}Ce2hPW*_N0^A2kE3T(n)2cQ=`%qAz<b_7Wzilslfa4&@Or$ zdtMFmlTNNpt3bEwh1j<<czZ)SUH7aEZ(47%uG)utUef7tg?doCia+n=pVgt$w^OO= z)G~!mx#xz0$KP{-C2r%{MLMa>AeZ0pqd9m#F2HtV(;pNZZs`vtlET=>{Q84}Tf6c= z@AYfhKiTyM1uC=4d{x8qfaP@z`&L?iP!L-!4>a@G$a)M#Mmni&Nhg(&PT?-TaI^0M z*61KU0wtX?XJ*hmZ9Dd`9!@3c^mk_nJXrG9_$vaJigZ%POFF5Hbb8?t3TIyJwU$4L zN{~*wYK6kEJ?Z(_Ie4a%PB#bkhHOj2_?(3pM>@^z9tzdQc<^1WxP+vW+6U>RGSW$9 zq*IZRUT`Jd59Znl^ZAKCF=NerA$ZagHuR|eRQ!N<01Q8~oh7*Hd#B>BgWzHQS;lYc z@d8LXomm?KyJOsqZ3h-`=v3ljsyekwp;JKbxsc=*Zfv|ne+yV;2D$vrLZ*W0cN_N4 zJUmn;S&t9B;n9d)tZxBaF0*8DKO4ZlKaW_Wt@vh##R;=Zmg`yr$Xf3StA7pSnD{do zP7iAUyZ?F4zSPwJ>w%h&bW$1Vw9c~|43D$1*7wtjV<DZ=UL6IiE-zvq#^5PHI{DR@ zF1}~H94osMr<Zh6$4fe?jC6XFGzU5#eR?=~AzrXZr)%fu!20g_tOK6p5sY-|dTb8d zoRX2dv_M8W<vThDO5f^lwdT+-c4{A_lgdaZm61*ZG6lopZbcycHs&LpGT&$ir+&J@ zL-{%Q%7PmVC-e0MXnB=2J%V@SRGnVV9R(8>H#V+%<0TmB^wB2_CY*0?+?Y>)P{6LI zs#9<ZonE$yfeuBZ`N|CXQ*o6U7#`O5VXJ^&&BX`I#9=eZN?uz8`!6&x4hViPbTCU+ z`tUT!kgE|}e*BI@CzaV{T;aHBFyTd0mT(l~NT+{BPJ>QiZP_6!GL!f-7}U0;lgi98 zF8A{Ju&d$$<FXPj#cR?jxau<S=v&R2RKg&RnRMztX$^!{uEW>e#ib&h)bUzmK9!M9 zi4|jD=jszY@hZ+0mvJrY#K4$<%e>40TrSe7&hZ#{825%}3@RZQ>GU}y23Vh4{6a3= zCR24%`yicEMmnjCbh>^e0{VBj##XJvQ-yTeQ92UV=Gn_iltM;2B{p6LyGGPuSB~NZ znsge^7Q-SJ6Tk8tAH9-J^J=ezf#aiiXtMrP+;lfpom!{RY5)9K@Sc!l?V1UnU(m%) zWd^zYC9B0i>o+ZoJ+feNWs==|yBJ!O7|Wn2K8ZF<wzSoB@E!0Uv-sln+~S1UCCgV! z{GYYFr`W|h7{}z&6izSxi(&0^ENVJ3lVoZ>(n)1z8TZv)eE4{MIJ=n(_erEv#^6;@ z%)J2Xd@Dncrc>0I_0Zt`^x8*)^y;LJ*CO+&jC9IaG#2*s_vf$b>2I=h%n%FDY;}1( z3vRnfr<|WRL9a=ZdF!M4bElI(H^IG1!Mx-MT_?2<(n)2clgj>AoyskMD>?JQUs+{I zr*yLxLB!j1P&R)aaV(_MKbB>1XU}%lDF~|=>GY$}3dlX>f;DHNyI`c#YwKEQQawE{ zbVYwqFzZpOI<-lmQ;Ty;pjG+q+_#>qNKHDa%pjNl@%x#O7+Td@>JC;SCfTMvec{zx z7q&AuPNP|}*+=Wbl)w>e+JyfEvp8XP$ufo4h4z*)?BYy}Bb@@W*M-j~r?B}OkdaPm zKGI2Lq?0|c8+42HVs(sHL|fA7&xZ+cVS8QU-=Da(r|LA$bDsFpnnTtRRZzPq@n<lo z<0YL`MmmKQUkXjyaegHq&J~w!M-N#F+4tPy$?K7kPE}pR^R98(ZLJ&WdncFOOJQc7 zWInhvRt~C8Y9FMN%19@bkxo-%{()XUzOb8*zKP=?oeuG#5HaH^yZ9Q%Mmo9goB*GP zY+#i<aZgD)&D}8#;&UE9v?30Vg>;JeHV^u($-#S0cXjNYVv|zUDI|qXg~k689a1U- zziq-Hl1?f!$mK63zGUX$(dU7$p1l)?#UxAnp%#2i>(5$x+!f3$S(dPZ@aOCV*7V(Z z!7NUgU9$RZ3c~bIGi#FO0_GEc21EF*0^rhpI%`rEnMpD=AL*nrvy7|NzY?(Ajo7Xx zxTK_0pPQ{<xaS??`c3%ofOM+Vdk9Q9-6?U)JKXL^$+qfvElya1WOqtVgV=5>`PkUB zL7Gkt$4-NxBNKR0`F{hkZ-XIs`RUMcS$bREI;aR;>~<cR2GeGr;bY3<K9h7(`z4)J zMmnjCbgKBE4!HP!V$VCGI;2y>Ty>yjx#uj`c-(uEPV=K$K=t{%Sdp)I1tFczmFfl+ zH*GSey@wY-(kZOcaQM)NS!XZF;Lz#hn^bjbn?k3$7iNOF=##)LRpp~d`P@lm28L5~ zYse62mA5tv?S+TRB&)xu4rI8niOs6@Trjg_=W-N*Z<)`t|EAv-%;JRECEI(yFbueM zfpy=8air6xu7%-JldCKur@nVm^N~&}Bc04etHa^;yV=_5Scyod=D9n9+o~CC)>u3R zNT<=6#zNTjTr5|#AxP6n9WUvmGScZx(oFdE+J!HVMjg1wX)r_=n+0di)#Cg2;|)9M zbg#>7IDRjlk70O`C7q_WoCU@zJ^0*-x=v~zq?5`>CzX*-=FnQOE@M%+`b~dOu<2SL zxX#K0qpa8m>2%GrC3NocfyE5Q{G?N^rF~&>d}a2rm%ewZvvVRu_up;2YSSMSy!(`@ zPVG|YWSbuWlbZK8);8mfE>$O$8RYWMoHz}JH8!z_Zu)bl=8@v}J34aab{)6BW*K*B zVMTC@d&3TGy(gH(3A0O9q;o~cFz6jK-N880sp!oLaOLtR_O<1G!A#=MU{LdsPAW6Y zxX;g8!p&#rndeSan{=w;ISjVcTFH*&$4W#xO~^G1I=-mHy3|G`qGVfjycQ>nbgDKr z0(xwSvu1CJOT%T{ko6JJ&c~In_SG+Twune*wPhhMa|+`~rz-zNKy6oFemoHw_H8hz z{UT4vNGCOpbXu{aIn)mJgWeCYU#d<Q*960+7<X8-14{$xRBml3Or4w-8cxJq4P_rO zr6xngZ~iRvVZ5cF>J;;KHoU5J!8qDW|Eze9pQ-B9K7~%+Gd94=2DSNwp4c7fq%s4; zVftT=f(PwK9J<yTiz}1thq&p!aIikxJ59gXHA?OY$5wA-K~GMJIE#!^nO(9oyL-an z^RcYxcZ_3lX%>~~2{{}5%chq*Enb@>Q`?eGDl^Ntz4gp6tl41Zn-`y`lTQ8TErfxG z&Kv#h_~}m4sm7UAP`OZRYw!WRI;rEe$b2dzoz8FB0EMTl<N3n$$Cy2zY=B)8_w#)J zA*1RvF8?O@xa>1u-bH_mY0I|}-p2pO>owFLW2$|SPAVgvR7N^o%sT@*WXTEty})sh zPA`|wfc;_V;lczw<w>Vc|IG*60?uNNU=<^s4rN>n8`AVUy#6HKR*_Ce3$6y=A_jh7 zkDKFSS1nC^YF|^|A*D`}<6v3fKh|H>^*33(6=smj-(kusNdErQn0y%zpGkJ})=a1p z6T`fNac^RlZ2y~3xXz!lX?bu<Y;nTulJ(jb3WZNTXH9Bi9O?AhHxzDPf5ie<BO{&E ze58}gNT=~Lr$XL=d)bL!4@6tiDe-&+1icGo0V6*MMmp75Wr4prml*3@)T@&^-v8;O z%mL}NWmp`ncd5ba<i<+QMNWgELPQ))F4Kz-pNC6NI@Ry98QvfNm!CS0%SF}cd3+rF z{4tpinDPH~Qu_FxP73><P6{KPx)c+8G42Pucj5(=bn<u^1|e&U!|3Z+u}G)Qf9AtK z9X_yMBXQeJI!!;m3<8@*7)P|j573ZKhhZ($SR0x6IaIGs?OjvVsbdPA@}FG_lb+2p zwyS_cr|P6KgIxZTC1*j4ii24OQ(6(nB=g7~3Q1W`vtpa@jSaJ8y@u6<baQ{Q;V<!m zWpTpnlDP%egdt6Tvj;_R`I%gr$q6;!`ZWWDEJtRNOwC6+smv_nvNY`oH+tS;zU{FR zkxpS7#zSzAb?jV=Z-S9d|HjON5#JfBvIX}SQL?Q%UW*e(Iwi+1h3XroS@RsniwT!; zJ;eMqefQW}aysfjIwh`H1{-{*^6sZFj&$;Wu@p}IlZ)SV#brg64F<Je(n)2clgdb^ zTFD{swNphn-4FX9o!SrS2rDjlK`|p%O42E+=wKLJHUmt}j~bIsCf6|7F}XaeKSKXR z!NHab;N{g@#*L41JF3%|tf}hMDTPksZ98nOn#DoqFNehRkWMNy$mPFYVTaA9fCaA4 z2^VopvX7Iu+Y%xo;K3Cmwv}vO=)blo@99w2^^SOLal-796}kSeE#W{IBzMO+CYNUE zo9#9a@p!XfgSBvbQ|PAW6YxUnGG`YnVRR$uX&bQ=0}yX|t=a#)jy?MSCnAv<i9 zF2}%+(W?a`oz(GKWImOVPTeyfuyyXY2WqB2B4W6V>(ctL&9m)(h<S2Uye6FrZ~V`e z|L`$r5q(iG(&@pH{kGlbc0wt)U4oHLY9FMN%19@bkxuddxgEJTW2rc8cZ+<a(}s1K zkL()vj=i4{Cm88;qsI?h!OdNvl{H#0(&<mR2;2J;r(x5YWr9(43SYIx_I=_ZnBIJ= z<7?_Ixl`4ta|)fhg~i#*JU#<K883;{q?5`Fa`{_(#M$cXItCl|t`%`ive@WY+q$0# zFm!rbY%AH^m78qYmu`i^gT9K_7AMRu*^-j6w!USz!qKA`$3%M}(C9dur`Hx38~sf% zlVoZ>(n)1z8TYhrtZn?WJ+Q5Epm<F>{d^Z|>sQPQ$4kr*jC9&lBhF?_J^?ol{wo;i zq>k4j^Qnw<nl)^vt<~xquwmtO5yNGiY1JOvrU7^0%34&3bo#N-YAZ778BDa{CV+Ih zQD}$F<HmJp6olH5PHG>dlgdaZm61-}*5*6Xx>iQG?2pgrNT-kYavyn}qZ+JUazHTB zDbt3uM{@s+0C=@sFw&`ghFP{R<=#TYxf=x|owAo-V%weg0B)2|bm+tjrm9ny6gpjR zvc)!UOA_>VIV)0=PAW5qr4^I%X|t^mw}WB+auLTQTRC>Kt@Pn5;%nda>h!c<oUO@| z<M7z^u!td@R7N^&Ot;xKV%%|nZWzZzPJ`jXv@N!5Lytkh+KGahBvadxPAW6YxRJ2g zR=(Lq_*=1*cuhL(KDF8QGyFCTX)s1G(rHrWEw<s69z)MTn*@uJZPoEwoUjDR%3axQ z3m^9hR(HKDUUSKODkj)=Hv0ziHeMC4NhhDvM{JpPrwLj)=aFEf)5K%(w#fxQLiELh zf{{*Yzoe7ONGFw%PMxZ`AMrPr1NU8c9HdjugrZ0CtTVxyj939lr+ybQ9SJP51tzb= z@sdtaeP-D1_fH>mHxE{5(&=c_V%u_`U(mkXK8H?8#Z%R(YYLs>NAI?ctaA^7*P^|o zlgdb^t6z564h3C?_Jt;jIMV4`lU=r|cWm&>FDtec3W&+ex6{_KYdoAxQ%AhEIAM0l z9&g-f%l38$lsJHKOtd!`rexb~bHA}2dd;sVm`O4<AL*nrvy2;_X_swf{9zchBT2L+ zotp04W$V!TG(;HdiWt%<SN`3$<T=;CkZzt}q?0;ci_E7o(&?YHR$IX87qF)2UJ=7( zT=9cPZ2w2tc}7LCvjKSQ*gJw$5yb|gqJni2d+!wsdhNY??W@=oJ18Ky(tEEq_Fd6y zL$P;Vd+)t}N#0NPgu^-fm>=_;caq8G*(8(6%#`zcMK&$qF{o3*#Ivxi_BYZl@Hk_r z)8v_l;p*H+BzppH-BBkw57bF!sFTc4r&WJ!^e+chBz~_#SbG0&o#tEWtBg{~CvV<~ zp-#6Om(iPd^&{05@$#ZhPCK{4j><ntV7FC_p-uts10a3v8xrB+pQn>a-9mL5olmFf zqhg@d+M@K^6JzTnGlf-;qJ*2rK&A4(h`tv;RaG#@xM=9H>J3Ti*^DubV3qx&;P5pA z893RO?Q08Q2EopDjs~k422u%loXU<@6qAoJux-p;(p2lmn1^6;dZ?4kG$IZbu=F0h zAYXE7uzl3&@z-dujQmXOs`2Acr|<?bkg??t8C!-o^r(|uUad$^W~fuC_Gu6_(S-K- z#jiYdBJS>?Ojy&q3~jxNcYvsqMM^fDI$x1Sh}V9gPBv;1(1WFDs}{T?LY?G1P$!w8 zPBKHC=-P(*4t|5kU|W73s8g@84*HJO){r@q6B$FDj-RficRX~Ic({f#hC21|SPj(| zSEa8u@ty{C8n}2TWOgV=r&*@u=~S;#p*nfw(`oS7G%(aEO4BRFvZS$fl9|G)mQAmH zN`(!FzLNgqXR<g|uo~{Eu-N(uDc#`(+t&zYZ<zw&mX}F((+zBfU0VP%2&TzSfs!$o z$l$PzEKX%<vWxD?X|R6VMN)0>7REdTlhZ?;WTp{u&COE5bI*P9SWRW=qfQ48r9#P$ zZ;9jTCM*VZx?d>`4mSTumJj6PDbz_WuU4cdGt}wER)8Y?Oz7vGeE6#qaj!JTpje+W z)TKi@+ee*_-8>Ig6)Vx0DaO`m#q}d_tb9qjd67ShL!IP2P$!w8PBKHCwzhZD`#5zZ zN$&i7QKuQl>+6$e|4UBp<d;jR)0rz(^_JcTiRaWcjG<2TDtke_YL%(u;JJ*UP8s^W zu-3jTZEEe4r&Hgih3YgWpHA13W5B0cC0aU$|Km_6nJJ?B53Y-WlB3JfDP{Q2p$b;k zB?i`ImY|Qf7+a^Sb)q4A|4*U`^I|cmlgv=3?hm5jSc{)T{mtW4mZqXSITQ=l^?#7l zx3@6nA((tD>LfFbh@15%8g4%=Mo&yPW&5bp#Q8B0-LW*C{e=H)sMFFNF`(aCp6(Bb zVhnYX%gd{Wi6Q+is8i+WG}v^vI<3ow-hXx4<$M5iM{3a7b@{{y>h!zaF<9Tgit2{* z2^4IdN^MMpGwZ8UpA|<KL!IP2P$!w8PBKHCKDKJEA2oa_dA{@*OAmGO-0rNe6Yonh zvr`#EozDMLLqF8w7Fl>Xf-%&old=j<52-~Tm)*-4>a_aScIf@boK7lwFi)phu7&C} zHlI$H&ZPnItV;hm%ufMzk{RlBYgHN~T34VWzW>YOP^aXQ?C1Tr1U>lD*gBOtn*#k= zD>nA1d0y)zGt{Z3S1P#m_(~$9Ec05Ylqu=Z*Xav!uVA0oI?2bPPBKHCru~-+&Mw6$ zWF|5dQK!Kp(jY@ALo=tgVCRfF{qRnMh~pJ$?WV@DlU!cZNoJ_i(3*Pi^){z{YH}rX zY-7Jf_2ZDe!Gd<E2y7p9%JsScx`wsr-9NdEp-#o#9tH<p4Z83vPak!X^FW<shC0a% zb!wW}O5f%7e6pxDA7Z0UuQoT=UkUahvGt8(r!qY(^^-5%Alu7tWO1m|t`Zxe<4rr- zFl!NGsFQtyAKc5bq_4*B&C_XHyFzvPC!bCWyT!od-Inydg@GlFI>`)m(zT9(i_6TZ zA(RjOP$!F0F;L#UD(!LAcxCswL^K38D@Su{^6`(BZHgi@)Tz&<XmI#lmb%X2aVkrb z74}*z^j%n%cJ1fSn1^8Uv8a>GG$OA5)o3v6t4wQJ)nfao(?oX8Ph(8!iSsKNL!HjF zi-FX2HK}JY{`c7<j+M)+Er6j;KdPodyEb-ozznX4PQ)G9kO{>r+S807{JtgXv~@x@ z%pP2yMwb7<80wT39uLY!J34sN3C2(-IbYOCW~h_QP^Z^r+Ua+k+(zuh+!pH8_P4A4 z)yi11>1!6t16!xo<E-?KOFxj1!AXpvPS2B<L#;hdwD(G0m#EXN(_6vyR$c0N;8>nc z866ANX<R;?W_L*gf3Mn96VDq>)JbNj)7)BVQ1YEMU38XL73x$YhmD=yo6-xZCHS#S z0YzyTngYoUE6`)Q&3Ubp%uuH%i&CM<hw?PCDIX`P?07}V^-6~W<I2;L_qXS@PV%v+ zlgv=3KRZ()hCQB{W|O1-)#-cXG-%$$g1YSK&eBJn5*nm|<3wBfiM?^<uTFA#Q74(9 zP9Z}9s<Kb?v^vQb-=I!|+8=|S0~*q9-}t;8>NMcr^AK~~nbzE9oG1uda}YL8t4A}h z^D!#wB<F!T$qaRp8S3QwtCPO!=^Z3{CI4HXPSuC2`qmW^Nbh!B6V&O!&)WLkIbTV= zwmyuZPA~SY1>bAU=-u>njG<2MW%j_~wvO~*?WjDRu5~X|r}6o8T4@&z9<dJe_my`n zY1Bz(s8cc5Xt=ku4xN2DnZ=<_8TFzep|vd?cYFvxmQ|yojBOJI+at{BlJR`*NLv6i z2-de|Gz^<-PF)W1IMiuSr&uWS%8Wko&0@@hrI|lH)Je`mBjN)7M8UIYYkGTqOSaFI zSCr76(eTT@Hmy2wE89n%Y@0^I;O^{S_#&IJJt9snueJb&It^Q%0=ujnX~_QXEJi2d zJaW=u-CZZTF#Z?YN1aAD(Zlu6&FHHKCF$SR>0EdWqz!YT?qzul>LlljI>`)mk{Rk0 zlGsVVwsH`e>3ol+hdO<jpz5c-&mucg&oPEN4GOf=Pu*3V{+Z1?W7O$&u|-hgQY-pT z6mPLmrzu0dV9J7~bnM&9c{(Zm3e{;sKAk${q=0jF6IyzzSQWrp1x1mWqH;F-QVPuN z??exE=EFBturKi`U_0M|jvsH&m`1PzLCLUUnho7Cvo_n;7QhUG&D@j%eOzp)zOFsn zSK0B3GU<F8tO>KG@4we!%tJ6aJ=95N8WA^hMGAakZ!EdgyBOO?o$lOCfgHz%G;P{+ z#!x4>3+$YiG^X?gZzWJCxx8ADp3G3EU465_acoQa+4?by(TTYIC62-+XE%Ca8NXME zIwb|4g|+Ofnn!nV?VgIbnz8B7VS7tzpUJBgb&~Tyon(eO$qaQeoav*l^dW+5&f=>t zP^Y`syXhw<{YTzT<>!k!Ely~lKiQ)U_4MaAUQj2m@2jB1`VQ3hu5qH^@uOXE-Kq^e z^wKyhZabt<ohIhf>0_5jph^=OP@fkOTPK+*tZJD~>}Jfp-;L>KyA$lRRKcS6MMBpv z4e7W2iy6}h*5O<PRAk?Kv!3>i?Q08Q2Eo1^h=iV1>e9==<5YIMqHHvYfwJu3?12H_ z8S@ZKP7igGnMTAtS{@0@!yC|jMTfC{)M-jWB)sb3L|=9bVhnYPm=_5RmO9f1*RC^$ zI?3hLiu7cLI<5Jf2rrykP&mk|UMJ$pmre!8TP^8wHd*jjr~L^>phjjJdSMBFyc2aw z*w22Ky{@$4x|i%Y)Je_*b&?tCBs0{>`$G@?zU7JJar|eN9_mzTM`yj`>|8Qp<wM5) zuhX--`jKte?cb!!jG<1qE$2d?m`?Pw8K20&)~TcSMhKnThCZ$PBCmB)M;5Bnq<lKv zoR$PLGTPFH?Z2_4Q74%xtZEhIPiPYKKi!(H@14ftRKdz*Btb<@3p&-bA3s*GfU}7( z*sn3|JwAZ#YYSio!G51ef<t2))4f?dPG!d{3T>SVJ+C;?dtrf$c?c$_hdRkjBjTFw zNP^b}7uviP|BN*1H2ho=*e`aY4PR|x40STwodhks+R&Lg{<lD#<nn4odNM<uic~oS zV~cj6MUwe?BAtj^z9<V;rgfy3=NMOG{;YEf2JG)fH`nDlpiW~~C&Ai`j<n8CKFNSO z$$6koGDDqYhB_U&FhuWm;1Kcc!&^$!X_~&De%7^HL|dIt`k+oJO`P@BV@>Jz?fhOL z>h#|~%VF)zess%8V`tadeLJjp*_C#*xsj*Sq<;$4X>vZDqE?5)kr~ZtdKcqrOqnUH zYMD;A!lC}8=JZ;3{;yUATUjFlD$j08gWmFsZjE5aM}>pu4o5oSof%`=0+>Otw0;rL za+D*@u`uW9u}x7XCPqQ!8;z)DJ!c+*$?2g^GSi5-3BSUjx_c9PV%b8rk2+<UN5BT^ zLJi6MXG5LrkB38zpysq)e|{x~I?3hLiu7cLI=$Z(59KDeqLaicC3GV0{*)wmTcQmG z4SzD`nqU*g9)y;uDz!;AK2%=bEffZxYfBf4F&641=YcxO40Vzj>XeYxTi-Z6lbjV# z{Gv{CXLZy6>2RH_d-;i-2kMl1y`Fx;NHzn0g=>d8RckU6{Kxd5X_u}rhOJZI9qYkl z2BH2Zf9C15esZBYP06Q|>8@BP<=l-vn90`-W9uX{MO1%JvpAUax*LtQeZ)>d73}u% zIB?zEg=&ZHWK1Jig)6b}>k*~<hFUVFEr1yW8~z{;BI7AtyPC(TY*UoVYZ8Htl4<8p zoOuW)r-wSpOe5kPrpCd>O`U0*r+goEdNd;rdfIfO_0Aq-40RgtITkj5?M5voeq{`G zlFO?V>B$UrnzbYqLSFQuNs;`SI-Q7H+$970&h0}h&EXGAp-xjO0kpqAfKF{%hcRrO z=C)ufH@fzxqsJN7ipzPRPBKHCWQIDK6&bA$>~?{$C7CP_)G46;F#WmTABbg7<7&)q zj?MMsZS1M{$oK4gQKypk=R)vU59;V?U<`G7{c;mDzBh<&HZPI4-YH^cp*l^?r_-uc zS~z~?I?36{7owt0GE+qLH{7Cyvion6a>w`;peop}jaryr?FRXAAe}LdV1b|Zfye#J zq*3R!jA;vC2Ei_PX(4j?Ws)(R$Ej>%lMH2oV7})i@_7qq9)ii~p-wW>h`776wXogw zI+^UvXS-1+k9}G=M{kl^>-pV&)G3Ocv*(1Hq~WYTjG<0)d9@-vnW0Xd+l0XY-2*bZ zV>S9$r;c4C;OXzj#Je^BJEBg5kH*2{)o)4YPGjp-xq%j{pMF8AkL1hUuyvC2K%HcU zI>`)mnt#Gve<;q0Ol`qqP^a2&Yv^;1j3HrK<D&<qzZKUHfha;sDJ%|kGW(-}Im?Pu z69aF>P$!RSUhpdVJ((6|d@w3^exW)|%coOR2Q4HOGo?KoYq9K5Cz&at`iF;WA#RKr zE%TU<5mdpd|I~s>j2R8`*0a;n2sUB07M?yarN5W(ISp+A%pe#Yuph3an$q#xc$~^M zMe!LL46|CA(w*6yc?c$_hdRkjBjQH9(ZU0EeqZnLjtzC1@KOu+E}GF<uldjvb=t%< ze)FsbjV#Wq0d<ngs}<?V40WoU8wyT7HEA&euTq_e+jlw~o>a4>HR{%740VdA90yGo z+R~G(GymH<RWbNOa5G!FSG@EPb&~Tyon(eO$qaRB^s$A$6zdg6r18fGP^Z%g&Gau0 zC6MF3ylHS@o1%QkHPioT^qEY!ZCu<NuFQdceH+tnmHBy~PM@6C!Kfa!Y4b(Kml?iY zQm9VT^XatoKroE|$C|F~Z|v-3rl|b1zLW`ptK)2FkI}E$&!`HvtWyXa{%%FLZVG2i zBiPiaV6aT8N&mSqm@#bu%ph3C$`B~Iq9*-SjL%uAY*Q4+y<t%Lw>h0UgEJ4o<n&M{ znQ27a3g-|=?QTT}ZrsiGQKxquLcsKwH7y;)FQ!qail2j_RUaEVuDr2zlFO?V>B$Ur za$Xt*BU;p^&w3jlDj)hF2Iifxr(fcX50&>}i+*~Ks!!XrvZH@>I{8@(XV*E<Hb=QO zsFR!r>LfGNNoJ_iNWZrFTBY`q2ebH?7j;VB<EFR2oJro7G`3FjI$G)Lv4_A?9DlNM zVe7Qtc`mqLZcexT;P(_!r@Gne!R=K8>TY6^*V&n^DpaQ#`E)APDg*{yzD<q~DauX@ zTPK+*qWZVkg}}bHx5yH6e$}7~cIjg<Oi8~&`nmctrV;F|OE8ReK1YW8_GL_405b^o z=1eebKXsN2Im+Wur>w4_;BYF3ly%})il~#E9_l1B)ah1kF!cO#iBxyumj$R(2kQ_x zcH=rZZs0S=sMBwU5Quqqi<CZVU<_L)xx8A&6-8#K)1D5|5I5;5(KYAQr4w<U*|E_5 z<_prRbxFpsbvhT73f6BvkwM3}4o^kg_^x44uE8rZap_04k2=YDpiVMFon(eOy?k$> zZ}_JX*>v+8OAmG0>}9UM6f~OL*}^9yuyu+aRZ_qBW+b`OhfjB+PBXr&g2%0j)2kJ( zGKM<!%i0Rd*#}J?2EEN2io32aRHvEwbc$FO2CJSr(0Btsb<{~_im3jB*<n!Xr2~Dk zh+pWcg1Np8WB=AVbjR);jA;Zr*(wY!9kiuW|L`^2+5(tCFdxfsc)HG(hSqPu(_@>W z4DJ^Rr`T6N4|sFtA()&V>LfFbh?{*m3`(}Nr)$`!Z~p4E<x3b$W*>?u9?mB>P^UIY zVerkm9-SP|e{$4GF0WRkCo|M(ic1{(ts2pK^?7Ha6LH7iCcukzPIN{vpJPIuOuRB- zv&z1ytKlsc>QoLwU~&&<+Jo>`5p|ODK%HcUI>`)ms{N{?{#*5M(r7hL3w5g4O4T1( za*R~;{KE1;oqjpn>7VZ}MP2IgX;#!}RQb7Z^+#K(w7bC=>eMr616Vw3M%Q2em8a9t zErsedE1ypHiiAT;_5|>W&AgbXlgt!R{Rzdw;q%v0bf)tO7N-g}_*od3bSq9*rtz_k zMzFKyVc>TDHz{_}jxlWk%plmh3t^y{{F`j}#p6`Av4UwMpxC%y<k{rfY~MpLIX%=# zW*QOKh3UT6z8LkKHHYnE>l9W#985=+q%HRF&KPydDjE(O7Msus|MGt(>Liy}E7Fr0 z>XiC54uaQLpdSbG@uN<}-9DWNS7;?lck^mRohBz7fZ5%v)7*3Xsta{GyCwoA?yN-Z zuRUkSp-yrhsFTc4Cz+v6*IgRxo8FyE%9P+&Y^c-YH4XI%lfB88|L!w}I^CL7Rqwd& z3Tal0PYR$;{!>=K;!{>MCi^5~s8fqxTVU$aYIO1KCwV$)b``4A?0h<vTOJOT{<}uL zyy5c_sFTbTQT;jX!lBmdi==8*{!dp0yLmqh8fKg#Q-2v}#dE)h!kd;l;$mu?D3F;! z9Q$!|7!1tKA__516jb^i4jWG&A>pyci30gp)JbNjlYL4Ugx5boG}<xj{7|PccHuBF z{2WP{%R6J#X;|-Y_`3QsS-y!+>!D6^c~K{sp-vSO<KafpheRu01&cZb`X<4y$R}jz zX+EYzohs=MLY-dk$(>Ssyn;GCsTczvw?862F<fKRNzMaxk{RkGGt_Cr*_!&`iZ<lp z#9J&q)ahAOGySl2eaXB&#(Q>$*Ot&vYrCIxp!^;s>Xhoa25MRUA@My9ForrUir)bX z-n}9#TVBl5N$XdrPIL0<)Uag+%(Qz-&aTa2Nuy3OL!A!ZONU284aB~@KZ`@1nodfG zMawRdoh2wgR%kM9cp7v*b&NzE(6fDQ0n8xS^ABk-dMJBD!R#p8SK0BbU~@Czs9QF9 zQ7W4;55eU0P$!vbMBIAkbg-+DOUB#QWBaJn#PoD9Wes|9x`Z**>HX()c&)!rEMG@3 zhC0dR)r$0FhB~naZJ<oX2hwvqpLo!TINv|n;IQBexpjm8`%$Ng3(tX7-6FJG4?ahS zI#pVC1e{8JASvUF%je`gP$!w8PBKHC9OLTfV@_C*3$A*W2kP{3iJks^jXq?_V7^)u zTc_NAE9$j5A;jVWFE8rk<h~O$Z%R=2hsH+_ihAvbeQ7_*tf3isI-SrKs?*$jI;GA` zgDS&Mll>bnu<TGLnJKJl6{TK97S}VI9BUEG;#9%NmQ?t7FoU%DcNjlbuxguApxn|J zl4J9W?Q08Q2ElGtO@%>aV@SVcJWgfDv(=ar(%|NsDAHoeZ^k?XlhZ?;WTp{u--o2a ztb|lj+K#Y&)G6UkDy%zogp>{BoiXav&>;;DFFH;(wMk$Mb&|`g73s+gb-K_s3(hfZ z`UY`rbRzEJWIfpKx<PEN@No$0^svnt=sNZhaahGwLY=1FJ_MJuuaMzajxmO<lbi?Y zBs0`WW~fuM8W#GX(l68%X(w2EsMEFmX8N2pb;*JUeA*Uun$z1vzc6Mqxn`Hh80z%q z+b(G5`j*5D=Ys%jo%+@ef+IZ*<oU3yJe{6~6{^#`d^#QPmdPf$iqer&&a$LYCz&a% zY87Qg$xOHw`jb4#;Z>jtc5-h9?51zX#`Z1vv4RC`N{7@V24ZWukL_y<U<ScVS*uu_ zoqqaa9;dS7*$a6dWCCq?mz18$kMj^rP7igGnMTB28=nE?V_%Tb2Wzr@)G6R`2Dl9R zOfo9WWejz)sgViJ)_;hlnB3rHQ53nn+5%XHU<0ckg^?vq=$~S|CDI|=cpQ%0FHJY4 zah3SSt_sJThua-0(!n>Luzl1ijXecpmQ;%NJ#~mN)Je`4b&?tCBs0{h+Rw)Nl>3yJ zgz*&$s8f@=jr79<{w00WlNdvtoaUSAH%&iGe$EJE40U=uU^}G$u1cr7`!R+(`OeV7 z!HwnU>dwXoqfBB8)oFe{ot*Y%LaE$}bdnRl<BU4VOi}qyv}Il<Oleq-Zrr$+#i@dY z*kwYjZwZ>R(x}sD(+oJc?k8~@wv)whEfhs&2En#m%z)TxKgp$Z9;dQ26=hn?0myy- zootQR#h8a+^0BCs%rqj-^K}MX&M8Lgx|_3o)XCzXOh~U;n*P4GfHBnR?ea`mKBPPy zY#qZG>Liy}E7Fr0>NI@iQRuR~Iz2!8HjB}TxRSq*!}tC*=;7f8wvReJesLc5?zN<o zE#5MQI{EiJ0zoUP)9|Xi`cWr257bF!sFTc4r(+3j`l~^c$)2MBvGh=<34@yJcRXWn zpsSM380yrryp=xV%w<xsTohxd)6EZCVA`!(bj(d&m#9;AZXopST$3(sbSSTNa!xK( zrv>?RI_r`NH~U-C{(<*c(x{WnP$!>ync&*poEE9eEk~WwKCyp)>#DToDdX5l!^S55 z>`wZI9AoPwGt|i^I|D3Vm8CfiwRt+_{&xTxj3`UXS?<r%Nj?^Jk{RkW@puMYUtO6l zD#O=ap-z_dGvV_pQ(Cc)Cu67+ZI}sj`_!batJ4@mo#gVOPBKHCIzQLLj~lh<pLzW1 z40UoEava(R*QUic^C>~pX;Iblu=YefI`AxCQinSAm~sfNY3%4Eo70S;PI4Zolgv;j znW0Xgq58Aa*O3eMe2{`V+3DNrhaU<d<2rL?QK#VYwe?#ZUy(Lm$&8^+TY7DVqn3^7 zslK6%p-$Giz0kV010@fS=jqfpvrwHD=F{m$`3yKe$$|be>;p?0b&?tCbkjZqI(Mr> zeFpI<LDXqbjSRSIVN2U(4(G=*1r+5?qjcEfZ%%ud@!>RAB|kF==36EMdXF`ycjxms zl^w4rcU=y^!}Deo#vNnKLohi#)JbL<5tsTp9qw<lrd<}aV*9Am$W|Fp=7${}{gA7K zI{8{>Koz#m>gm+ujG<0)d9@-vnW0W$0|ELTYD5P`{A4jY5qHHe8(^*zJ^6r7w4hEs z?wo~}lbX>^9l0W?)5Iy6;MLcO&e?Z^#i34e9;lPdP$!w8P758n>vgGnh+P_=6hNJ> zHRz<j+$f#QDt4YR)agi<dit8vi_m}wK4eFocFf-Z;X_-~2aC93s8f7TKbUs7DP3Cg zYMxHBvI^Dd-+VgtYL*7+2c7Bp=e&rhlgt!Wwd_P@r$P7Ajj3fYpQ}&>>#`*c=3Z?` zFYa2#m`1R3S*cK|RbBer`VZUJ7QhUGQTC8gry_Of(j`1jWydQ@wXYfQY<3-5-9=&h z9)ii~p-wW>h`68A(_qQw2DJ2Bceal@*#)M-?^;gO?LU6`fI8WZNrM+1oaw${HyJ~n z<nn4odNM<uE}S_6(K*d&%`D>^R6MT$Oqtb^Moc!o-)Zy6)6lqK8`|&|U$lZcbsm=r z&v&>|2a7i>ebh<L19g%a>LfGNY0Bij`a5<J#IN~RmLBT#dQcC2VDx{a^*Me;i8?*p z(MVshdRZFyl#lmNr_!s|!YAj>bm3F}mqMM^Z`cjd2inkL{a)tjwC7l%IxWhlQ}J0T z(6m8w`ox64umyFJnIfwH>d6$?=F*&gJ;ncBs$kY7Q=wJArnK}FzC2AM*nmDMuxgDX zg;N%cX$xQm!Tu1oim{g?_5RA^RJJL~J8e3=I?{+5rdzUo)JaYcb&?tCwBlt7R8pJJ zI#U<3V^ODtrBY#!nG1Dj!Y`arr+}msxH7pp{cyoJD=wE8b&?tCq)t2pr%Sb>M_w8~ zqA|>sE%^0oO`rNzqkmhc0ToX`F9(&*uWEdAZ|ILia6I0Y9<QaaIMhkb19g%a>LfGN zX-)G1`f2V7B=iSQ3w0Xq(px`$c`os2Wt<ha@pRIgwWvhbl;>KbPIWe~hW3wpQ0EXn z2ZlO%ul0rssf5OVFwTl+oGw(S#rbqPADRFctgUHMRsN!2)JbNFsQ%Mm62PsA4V`e8 z|GQMdOkEPeaKnneD;~+1Mz9Zl2~aJxCe29ZlLy)Ym_e{#vlHR-^qLe5JPvhA-job? z*e8UJ4;aoE>LjO!I>`)m+G&#rk&UhBAH|m)i#mliNdz1AX`3E4XBb1BR^Ly6kL-h| zWxDWc#nwqKFX|*S)M;`5bf|vWj<)V^T<>%$fn6Dou%|Uo^2I3ESU!s4Y7a0vw;tW% zSDP_xoknHGLeO#tO3NGH?<D7eI>`)mk{RmMs1nr=jov}hn(<};b=ozeoqlu0L~<+E zcnkRYD?5GEoA0DEyW8+rr>C3N!na{9Xh|{kiaJfo@CH}*g{!dv##_LK^M&fPB%e-7 z<5;MbRh=$*ZCs!tGeuN?W46q$ijx_&2;=_-Rj~NyvCwF<87)_l&$wy?dowQ<9<Vp@ z$3Nv&sx5#S1Y6%B4o-)d(wyHs4t28XngCrbO=*{w8yG{K<n&M{nW0Xz?!>~4&So@f zC~t{SCyN`g@G8=bJ+}FnG1RHZ;#i1ItU*hN+q0;XTwc^kW~h@pdrikPmzs3=gF5u@ z*r|$d3fM$i&~~Z=W2n=%BL|@4GaG7?<-{236dn`-iyE+dl(URqJ&^N2on(eO$qaS+ zHMzB({M<lX7IC#vr`UO}`oUkqNs7u_PZzc+%J9Y3`Vn{DkmP@PXN;}W%MWYd-KEAf zV-c@Q)Tw3dT`+n_ZK_tNp0}bvxmKu7OY`Y;dwMK{_qtAg^x&s}t&_|YQT@f2#KI-F zo5Z0LAF`{0`7eqE-KFbfq)R4a8o?Spj)6fZE|V)seCkkJ05b??xjYuOjJQn9Px3g_ zDeYSv)a`YN1Q+2tpiXjnsFTc4r>`EdpecHtR4vCR08l4$uUL5U`Ud%@1Rpn`PWB69 z;m4;NWct6x)=4fe>LfGN$-7E2oc?v6Bz577d2}pIMLAeK72F*jlZ-)J6V$2Wtb<T~ z@*DE?17D$uIz_#V0myhkEW?ehlbi?YBs0`WW~fuwcGmhvUo1%bZ#)KdDwSfX4{X+# zZ0k~zG1O^JP#Jy7oDi}xh?f_2N_p=ERg0FO%f(|0s8g7UAG~w>K<2hLwobNp3e{;@ zKApzYNd&i^x5;NSep?fDl9?i^e?rAXn0n<V+3U-1FsOpfevkke3$KvOL_fwff-S3) z03%J$k@PtO7}FNO41&2HPJks5XGtwBk5k#k3hSB#w|3@`=~V}^eGkFp^iU_6X++$| ztORHem&maYFSd_5{V2;i<F(gG`B8ix26b9cEfMOiyhXBl^DCk~;#j%7+5#Br^vFB| z>W4icrf$5tbRzEicJ_{fVlT+tL8TZ&oemDsL)VKRNpv0F5ur{$%Ou0$8n4LWN_<?y zTLndt^F^IxhC0a%b<$0;)dzK{Nm`Bh!O}yWX7{t!$JXdgGH&rn3)HE)Njd$^&B0{B zT3%k%sq~Ajupz5B?SIEOcJfKy3v1jzk*{ao<qgHVJ}gwH<@t1K@hTZ2-<weHb=+Rm zNoI=5i|+Y08Acu}MRz0^uk2o5O$KN7K-G)JymQisxWVjaYmxq&jEkwmn6?0B5bU%* z8K!snO@`dyaVp!`yUVwx!a>Jhq)(r^Y~MpLIX%=#W*QMUJUJPB*mvBXjGWK*QKw-) zlA%tsl5|CNKDI-hn!QPeF4Tltf8$k;I?3hLiu7cLI{iL-5XLxEpgo3j9dshDx9<_C za<w9zlE}v^s8hd@|G~OL)u;penAcyOJi4ZWy0H><oyMygb&~Tyon(eO$qaRhiE5@# zbQnVpZsffM>U6rBv)(pjGr3ruuRcYcI#e;&Z+FclIYYQQsMEuU&0y8Xnl{*ViZN`R z<`aLId9)hcUg}w%PLrM&s?&;mI{liI3?G9X=!5;d=%|y-6jA+K6Iu0VIM7PpZ?RKQ z1v`Hy8CILtp~WiiVoW1g|AxtMG0v7=zt)H`Z2`<6*v)b&aCd<%)s%GP>9I{wZmDSy z#>O0uOE~ioOimAVl9@)tt;tS?B9`{FZ4jTbM4jlPWLTJ1mkzY&I-pL8fyt2Z*n!q_ z<|_bDC%L>@k)F&@r{ppRq5Zl>)U%QC%C6;+!%)}KiS9XUe3Ip@+i}n)HKhRt<67}R z&qN^9nI=Eye_PZ^&I5Il8R{f6)amosZhF@P0mP&W*BEvB@T;TVDeVw>m;05K0d*RG z!$H4yadCQi6rXxUojNaG3rjTZ=<4!(vIKSV^6>#1XBQe)>`$If+ujzclO~@|V<)G; z`?lA}kU6|jMxA7)i0Th&m;x`?UL-C%dB>p&Ht#&Eu76LF)^CmTPQzX#!BZ<8+5X0w z#c4&H%nX9LElY+raarWFl?_jiZEUUhvlM9OeT0<R$r<V-AB#H440Uo1P6po({}F@N zICd=RWLhZ&Rt`8ve!k_MG3s=-RSL|hcA2=8JH{C5B$pR;k{RkWY~3Lkpgtfyj&K!q zY*UoV6SKhN!ebKp=Pld6CfK(bY@(paJF@=7Z??~WS4CNRAp?R|JR;%h4YrRu$$6ko zGDDqYhB}StXrs3nT8^xGb(^J!I-R*{sc-tT9qApA%NXiZ$GNQj%xgb#^Iu+G)T!sf z9gti_p$#n#GKM-G2;K)vSG*?PV=m?Cl<>JwomS@4X~3NXcvaLHE({RE>Gr(nGDDr_ z#K*%*GZo%<<oAA1rv>xkz-?h)sJDV&oNH8m?0YuEb_#Nb8>=@lrY(RO1l!*;7CtW; z0l)ltoXR#u8I%(PRlP?+$Ystv1e4Q4on)pFai5*z;9mRyus-U|_ED$6QtZvbkGq2D zmHmvNP9Z<yq59L-(0pnfW2lo{Uad$^W~kGqGii`Htp=#|_`XiWwSSQTb4OK#MMXHf zCRqRdS&%UCjcz_$yY*M6m!U_%ca8-d(etT8)Je_*b&?tCBs0|M^qC$oe)tY(ypHFA zI=$ZL4iEdR1<%Qc7(<=j9$gJNPLm*J4X<C+spk4P7<A{P?(96HPB){HpyudO(9`Zf zo=&+x3)N{=KAl{)#KWU&E!dO0d=eg8Cz&at`VUNsg9leS!u>nREKU{7*DV(A#`T8{ z1Np48MzAUUV!$ER9ZpZ>)v7Ik83a3S#a;yDIRcKa;&Ce5*n?62(U9&p3QP`h<{_Az z9_l1BjfnI376VTP3<5jtKDLiKB^{3i^U*zF{LW~`P^Yy?aqv%T0&eekE4xP=E0<SW z0OP8##m5y=VPk|f6z|6GiRlD8R5BeJWtzhHYMh}?k2@WP?4!SRmlOEyS!|uWLJmRe z7+dJmD3>wRNzNB_k{RkGGt?>gQYQ%6xDy_KG2Q~cKWi|IUB3?2f8#CD|63>BD$oy` z3P<W4Wejz?{hK{o`To4_n+uP_)+y>*BD|_n9#(`O&C}^?(WJt@df=H)r#)RlAfQ!K z=(B<wjXKFpQTb0<)G`>>t|KtgH<rbzf^~efA0EEz3(G$4<;M!P>Z2CU^mB(L<+d`W zEr1yWy9`=*Wj+Ev)#7m~+Y}{(u%|uBkAm4lIP(xpP7igGnMTCD3EB_EJ`R9-?RZOx zI;jhSVAS<)(7tUbW2lq+#9*knwJkhI<?DY?C%L>@k)F&@rx8`7VA3>m82;Y@7NZk! ziydNMMd!+JWF}{*(?m#uQC{zLC4zVi>eT6WBGf%-1yKsWltG>3JWwZ@p-wVGouU`J zLZj9j!Tl)L7+a^!o?T$ovSsl7Nfu+MlYRUgnE7rbEVet$80s{+TM(FyI<H%}oX4R~ zJ=voXoy(Pl$A=E*>10;AP@Pui(`m|w1c+%~0i3t<q){iCDWdu(UWte1wpQ@gpLY_f zU@c?gU`TW$c(T!-A1m0#!?AG9uO$rfF?Mz`L!IXM#KNaJt}s8=*x7Yz77O-UTY>!( zV`nEHi#o{+b!s{-4u+p>4DnrevvWb6YPiLN%d9%kq=ZqYD%J_mqNO=Z@5WnM)JZNc z>LfGNsmF~pD1PUKZbJ_5U{I%?pEJPy^G#jmf1IIC>w~i(v0bb#=MDe&qfRBBABNY% z-|5U}oMsGllJh{FWQID)40Y=A^&jYFwHD4k;H?ho<hW@LZ1$Q1FYLKusFPPIFL3YQ z4Z58)>h!*7ESy;Csq0wWs8e(AMCfqvq^@Ce<MKJziiPU5CZA3{g5x2zY;{PvdV-w- z>LfGNDQ;^VMBJ$b_nY&d7IhjnCl<;*aDpBlyt+`QqT6D?5ZV&DFEe&_GDDqwCdR<R zrLI7C89Te0MPlIUu2!&_eX{Xy>m(nGI>`)m@^^`anbVs<TAlsuSk$TE*H{RBS`R$+ z{4ap5)5lA3uxq0=%st0jW7J75FX|*S)Tz2<D*QL-yRP?Z-oc<wCn~eW!qLxlVK+EK zoh-T@hR1$~bdHzLGKM;ZK0OEn&;HQGT;=n2sFR!r>LfGNNoJ^16=f87^;!pO2j;N! zP^ap%r^Bw_^Wc37p8!CejuhJjqn7oAk<<A3Ve6E-C<gquZPLxo=5>y(Q}Lq-P^R`} zoyUO_d99O2^+I)8n@^`Zxk+&5umx2o)un%Rl9?h}o$g(eVbwlsx@Q_Mwkp^+HhEBM ziVY3C!5eUmV9PouL-KF-lte8r#<T@6gJ9FGQsDG)E4tQ|$Ej>nlshfbAi>RwKA6Lq zhhTDgsFTbzBF;228K$_|(1!>3kP~$(>zfSc2iedWX0I4SotD*42Cov<^yOjxNh8!r zF0WRkCo|M(Z{-XaQr?!v1U6vD>O|a%x0w(=uNJ*miB~D=lzcf0&a)Q_J;`at80xf` zU3!H1)umgu@tY#3lbi?YBs0`WW~kHY<3vB?%@%TMKmXb|>Qwe@JN?IVu_U|}pP@&c zR+P8bdxm@^uO0X|cTguU-;J;*y#*b1wiIKiQ&kgRNUhj_9xi2`caue9QK(Mq^66BY zJr{SYu?7A5%Yh}0t&_|YQT;dAlOl&ZSkn`x{3d}a*m3rx$ebQF^l6_Q_S0$vD}N{q zj#sg!9U^)4X$xQm!S?S6hZA?K=)5C5P8C%{q9b9cyA=)p$eD*=a(c50U>d<HT7<)h zdN%YybKa<<PO+uJp|-gV-Mr#0V?0gvBYTIzX@4u)_8&fXggVLP)rvTop-wY~M#Cg8 z8`|`BLw2lA#2suD3;Vy@(qCO18AF{;eo6wf`gLgiOkSm^(?w4$EH|mkZfx+mDAY;L z19g%a>LfGNiM(&4-&kQcxzXO1rH48>pK;Sy9+OIL8Tgl=P^aEQto03#vZ>+E{O^N0 zWu`6#|Noj(hl_ln4eGQebTdq_uTP6zu9>G(M6E(~TAxoRohA{wnbf4q%krNHb&{DP zs(*WtBzQE_ih8;6=}uKJ%Y{kM?3OkC7Jrfbv>L%ao3R(v{IH_FCVUK|Er1yW+wnRH zCTCl*yZt;)6;+c`JQb*`740yLGY`S!^iU_6X++%0*-0=i*P7nn&Bqd`lg-d1NLgr2 zGcJE-40Rf9NQBe`OZq~?@4KN+a(T5PJ(;0SlLoM-Z`xVYGL0LvV|60#XW0z+6ktOK z`Z+U(I(1om7<vTNrn^*E#!x2<_OTMTo^|MePW%(zsFR!r>LfGNNoJ_ik*=z~N|qO~ z8_riPpiXPnwbjqu9YeyN@fHwu+Ecc+zDUI{WbQXU&5AnptF#fUQk&DMaXfw0=|S^7 za44uA?a!XS>o94|3`HrYoNy>qrw#dZ3OE}Do{Jhl%u{})gF4Af5!K&uPbAc8(gubF z2C+C*u%`neV9vVUFd<<(KUT171K9I;liZ<wyeDJY0+>Ot5Z1DFbR7ZPkMTH_ZR{Nd zVPW8+jsnMDoOuW)r-wSpOe5lQ%SXU}&H6*-x4ff7ovy!#fMq{BfmsdXG^YFGNZ7u) zC0x1?#^O*Xxx8ADp3G3EL#BxkF`_c;-Il;&bRurkpkxTDRT`?WwMTz-Dm~`__&&I& zJM@h&AV!^B8)U+Stu<hDBp<S)PI4Zolgv;jnW0YG=XM6iNt?m{2hRg_n)+-Yghyy# z!J`z$P^TDE4fHHN8ip$TaRk(<`lE1Y)A+cqZWSJfI{nAqavXS}7<gqS<&B-5Iu@$a z#(X-ZK8S)&F(y!~F8|3;Cz&at`rWc3;hL*C^!voCK@}`&a|C!FYyh^0cJgBdo6S10 z^ByfBRcF*mW~kGGY2nbVi7OPpYShWPTsZV>)e6EZtY+z<PV%v+lgv=3a@``Jb1x^@ zJD*Q7piTp<BH`B>J8<kAz}PmnDat96C`i3o4N4|PvwhS_E-&gNGt_CBeIh(Ld{=k3 zc{)25b@KH{hJ#Db>3Y`U?3&1f%sT)92lna8TXS_#r~WfCV9Ty&y3~P38AF}qJWwZ@ zp-wVGoyzSS1yveqz-1`Eq(Ge_pG^hR_7mZnmX9A%r|!eo!yN||-gMyFp-!(xhru-e z6*`~&{G3rIySmZPCrGcGaK`u~OC^^=b=s6qC)O@OJzFapkz_~z>LfEoXkyhQ7TkSp zXcu4pQ>cPX+a3$m9^26KWyKVzVB;-fp+$LXTB_$7cB<L}m_e{PA7Y{9RV!L)ERR#! z#^#+WCcx9)R&=Z%XC8vd>7h<C(}=kDYhq#c9vgb*32$Xlr!LE4!K0EboiOYXW2jS$ zYOyfO(uStJ<5h(^$>r6G^kjxQ<+>-q$nCZ0<qLJ$u{sfVc6bWhE>@dHwynn)>NF$l z01R&DKubR2og(UVA~zi7?R20wJdNv}<UCL(nW0WHL!Fk-QuW*J?IJ&J8rM6;)M=}4 zvM`zK9c^6ibT_S*{+Qb@(tf;gz0-!zp0L!hCH-T`>k@S;;=2Q`yl+5<4lu5Fa&A?q zPMh=TWWwHo^m%c87@C;CejaR{WTuGfUz4&AnoMa8qs14GRKbqU2!!uNdPCJEys9*U z*-Q_B(zV>-?8;S)X$xQm!5X#+fXffv;k*xzQ`yE|W~kc>*K<aK-D%D|1e4Q4on)pF zab4;KLf0exp!cE8Y#()+QfeP;9n=Z_+~wM!PEU$zp=VkPDD5B080sXKS1Zz!8S2!s zQ#h<GQ3(P+@`(qXh_l%g306_1z<n=gsFN4_<m3puJG$n%yfZ<aQYOYjV7D5O5y)E; zUX6+(=YcxO40Vzj>Qv%|E5tNj1A)3!mL9fFsWUpmgY3C5{Su#3!`5l^iy3gnbr5V( z_}>g$r;6VK*kAsnZm9>4L!CPG4TA8M#i37jVqRxAR4r5|uY5Y$6xk2)v85pSHE#@2 zCz&ZKFZ$w}`{3?uGjKo5t3efPb$B3DY0&`At=++o6)ZhE0OHJBLYJLJon&SZaX;4t zz`5Hkp>u>$ry+F%;L(3>u<w>pC;3>^NoJ^%=RbjP@Tw!+B3szGpiU25_d$ufwV*~t zK5LIU4XUGsi6yE*`$hcTBkClV7j=>u>hz_5IBc(YTldJ9S0U=u$R`r^d!5nwj^zw> z%4TyoeZKkYHh$#y#89W4=s0+3@=RB`JD*}io#Z@FCz+v6GDDr#nD&F3k7h$_E1n1H z^mWEa2ud0Tm$vfrMV<D}Spfq_w19dY`T3zvkLT`%faq1aw{LizqfUEU?T3C!wyx1t z;}@g;?Odo%Tk`3&^G*<)7;Qz1)Ucy}b&{DPs((bUVD>UT8`|p^UuLHY)+r_!W|p$0 zYp(F0RwGyxd%x3nw)Q;0nvZ|91u%nPU&@6*<(F1;a5EmKvW-1JRX+@tPPL+=CmF|1 za(bwf%rxTIiP~T|muf>Rr6jO@)amM;U@&iGO9$9JWDIr6at?;y{cPx^LA<I^C%L>@ zk)F&@r>+|#p!Snm^m=h)XE%CV6dW8=oAw>$z|upVUVln}#c2+-Q?7AwFRc&=4?-O1 z2KLzJU!CMUP$!w8PBKHChE-^*uTXO@(X=ymc0bp;>BqG_Kx$q!zI|@g1S>sMEJ8;< z;uAcmQ?csv;K2D7)G3?SCF-;!c0GIbNdtQ5n(^&(dwLeC)7E@C{ZxEm+FnN><BYA7 z%oI`mJ<jch4zBGWcR)D%xmCelZ}WlT&HKQ#T|SIy1oPYN4O>1BXSacQm1+xM2EiVT z_lC_0?qCBv4t47MbQcs^Ig<6^oO!TKQRMVcCz+v6%X|7j>s|e!-YwozqE2V)?1sYw zx<HjDfsCO}&X#-N(tS5rv)DKkm&=Pf$qaQGYqk$YI#+}6PP`M-iSu*ox*wihEDPmN z^Ns^`dfFxe>JE9VYp|0KiJywN-_^sR!Ks??>yoi`lJh{FWQID)40Q^&Z3u^7XyC*a zW9wAM#})cNp9<ry7>D8?Z;ys%8~TEiB_DR9PG5HVz=%`1y4U~lIMnHFx*w#MC=H!1 z7>DAz{)OtaEuT(RO?{!kxw7EDpZDq5*~v^1)!+W}ZurvP0!~NqYET7>Kj{OtCpUz8 z+CBVO!J1t02DdjYVBZm5rP>0RL9mo~rc-1~*mZ%&scch}=DoeyILr+O6z8iuJp_}} zL!D%%5pkL8d>}Q}3DU;wV*995mm#~s?RITwU>d|2>J-p!4}5G=0}c*NV2q!)qR8dd z7Qj#^ySn?J$M{FOSI>>NfIG8ye0IKfN!NY5@fNU6`v|ai3el}d*RixvC)43!P^rvY z-5`x|fr^|j>LfGNNoJ^%P0tQMMoxxtFL)k}C@;r2pFUuEtsk7+&aWu3vvV3h3m~Qm z>w&m-sMFaB-f(WxM%|bpe99Mf>K^0^OH6WfwH_HCDmM%*RHyCvbXxbp4<-+>q_f}h z(?p$Qrl|Z>?I!udmKrv+=*N;QP8Dp{S$~K+U_-CI;Xjc^usWmt!Kc18eba3tW7-0k zL9qB1d%^ab6%8E8<5adO%GrK_5Wn1tmfOaehhTDgsFTbzA}%o7ANpw6toTLV%A!uK z)BRx+JHOHOpEHI!nRNGu8*8oUmQMVp1L`D~S1Zz!8R|4|q!y;$vZcdf>#<{XB5rZ7 zAm}p0j)s1!&)7A=dd!XhLwsF&s7VvXP^Zm@yx~Z8T^ep~##nK-DT<s2>LfGNNoJ^1 zmcN_+`$#R>UWY%+hdN!U)IuNG;0US0I;_7s6%97mhqf+C>$A@({nhDG_wi8mMsxb$ z3$IJmsb2M!P&TYSO}<+rZyHk>U8qhw^67LtVK+>j;{qq5j4KLcrl`E=+t>R*^k)j$ zulT=O6|C}LZ-}4P56(~KRiF{9%9LHOsfasR?c$w|wg6@j%%tTmD0aXdUWM~Gm2HY* zk+u^e*N%kt*E#bLOimAVl9@)tJ+0;qom~flb0!~lqfQSVdV~F$?l3+if-%&o%0(Zj z*P=amDST*(I?3hbWl<EFp-zs&1EBdd3z#{9|EqN(F7=;%5am=Ae%<D+JL<ILUMO@; z{-oRTubwf~DX>~7Tr6e_JK7mn6v%m?PBKHCWQIB|s8<JmTdaarf3jH~s8hA2&0v80 z446KF&uwArH2jJ?IHnAMj#>PCv2{97#s|#rT+>;t=W(dhkw?C;EwchF9Rhh*cJ;;= zs?*MVI(;~{8=OO{K<%f;Skl-!$xKoC&$~9>2gd)l0T5RRs$l20c*8}lBW#_|I}?py zkrBI~_4gLAJJhI?%uuK6nq6R$+!DrT8g(jbxeIg}H#qX#sFQpw>LfGNsdis)IM&Y@ zbnW;!33YNe^?}eq4zS`P@1Rkq6`y>d&l*d}zQe~2sFPe?)JbNj)2oRAQ0n#vU0PXQ zg{YH$#y+^{^FY@+gjWsfl=L7J`fp6uJ>1K0jiXL!LqlN3vhTW=&(1N1t&^Mw>LfGN zNoJ_is{w7{_~EHwJK_{e4|VFZv^!XI8wi(bonQ=g+CFj`WL<RuLs4G8sMGc}yI{}K z9lGr`_$mX`$t-sdxXrqz8^%63`}ZbG*Qtf-v@4%ZlY)KW>3;Uq?oQrVqfRnYgeFsJ z`N4-L>?vCvpAJ(6+qu&ZvKrY?dMuZnmPW9ECVp_Wt~Gt(%*Qa=0+>Ot%ccC`=w~ZB zrz4M3*`_EVHUZFinH62KfHM!l<n&M{nQ26viI*SrWS#N51YXUkQ{M%CFq_>|%y|5P zG1TdW;s?c>T2XJ4YV@y8a(T5PJ(;0S?e_)3yz(|w$G-daSEtXDwBW6=rM4^hRUGPc zyLuQ5&$g$tLYgy%IyE}D69z1(L+796&)%U<avrFY%upwpp-#zGuKEneedOJ3{<tmb z)c=%=-r@ZrVy@*csz#kG*(<~z&niOGv-#8}>NLW29Qa>#p}(&3x<sA6QVmpft4I3< zS>|<ivt}2nlXpIycIepr&kr~FRGpiOI>}5C)t|L*FIzg+8OH76KdmZQ-~xY`K4Jj) zx<>G01#9T-2VSk+;qYXBpG;c-GYD3Ej2}e*aEDRLd7R2N_KBa{zOd}(NH`>(+w%}i zP7igGnMTBwclC$CDTAQn<`A}zI)y8HVQ^Y6nEX!yW2n>cr+XoEdk6Tmhj&hU#IbUD zQ74(9PTwmAgSxa9)ckF1ohE$?fdx~|Vd`qmP$zw*Xo&VN0)4vkmIHO_$0ij1JgyC2 zhFoL}b&~Tyon(eO$?X3+t!x0zDy#>qP5gm*)XCqf6&#OT1e)hOU)1S=^LPlqGXnN? zJi!?1bR>2!*n8d5oe^=U)A@l~DA~CRQ1<Dgzpc}@g@x+mlTW9p%K_l+WCq;_h(#vi z(F2(&qWV*h?*-kX+A#bDuLf1H(eeJ^y{$3y6OSWk1Uq`s52#B^Xu8Cxlgv=3%Ta!i z`mrVCZZ+!Ew1Xe`UUq}#M>#{C<YQ4MnW0YI=K8Z4^(K&0ncq`HooY4R3pd+0fMq-Q zMLg<sqD%msHP}Mkh5UjYb&|`AI>`)mI%pLP*1!Jf+=Kb}N5?irSx`I_rd4{Y3+~Pt z>h!%zG<Z}1UEqxKjG<0bE=9tlT1B8oF&=|D$$6koGDDqYhB`HfrQi~@5K^A-JW!|0 zR{dc6?$K~Bly|78lSRgSXj8NuxUA>ep-w*a{2{!dkFM2XzPt~0YSexo)Z1`ZXMQm! zPp5=sh3d3BpH9}v`(Sf>bK0{TZ@{s2l9?hj+3l)@ny)Qs&t3eANENJB3R@SRU`<Qz z;y;l_u(T0c7+_{i*O%l&Vr>D;AlUgP`(e;yD{5d<aerH<)18B%{3I*-sW)e+lbjyv zBs0{>F+mHRGOTHl)%;(GI#t`jKB7^Jb#|dY7(<<!nrgw$!jk@XiLVLT!?>cz<wc!j zmLcNG4GMvo8?5Ng()@}Ib&B{M3LfmEwgdY&WsLt0ield>8m?5WO?!K}F@`$bZQ%=R zmf6!fH*Fb1o#Z@FCz+v6GDDq|d2agUt$oR%VE(=Y)G2XJ3;nb1>BM#{zuH5c4u7es z-_Y|n8M}_(D@2{fFP{zRV_fKf4ZJQ<r?N?F;lm&Ynl#upud}=6S*T8X^6AtlI2?w3 zZv|a?@oGSwWTvS6CtB?p2Jb?;fcqIfgjEGQ;T{SP?hSzF(<Aw@f<0dn0wJs1q2X?S z#<T@6gJ7OrLcpxg2(XIfaVpysrNYr*xY}zJWIy1{Lohi#)JbL<5$A6e3YY2+h7vk{ z69{#(coYhBWN*;;@%vS%)1}j4@MK~~IFie+&QK@0yjqc-%uuH__hMl5MLRI{;}at~ z5qE=q&gaYhnqb?3Gt{XQq(JAT#o*Fh-Xfq*H~Oc*(MI+VF!nNIsFR!r>LfGNNoJ^1 zw=%Af-gzsS9p}9Y>g2wsD_Hn@!nz;4r9_>c%~=2qq9(w^j{LF!bvor626pk+b#wRf zIMm5qje@T}m0@}6$-LI->xM#g^3A7Hhm3HrcQl868+pTrI>}5C)&Fl)7$nBn!=T!H zicA%3!>&-MVCoEEi=z3lf~`Cd0wb2RgpdfMPBKHC25b+3I$d31#}T7Wzw3p-=Ps>) zd@|}JAB#H440XCPG!%w+XbL+z@mYJ+X_sjjoO;{<_MA*%40R%}!=PGvEqE8lFXB-r zxxA>8%uuIJZ(<;MP!Sm3o>w92^!RKXEc)|a=U$pK)M?4l6bL$(t*g6-kCRZR4?f8d zH?atOD1U=7)Je_*b&?tCBs0|MQ1ia9ue2v5+3`G3ryYAnLvj1*@FFdjG1RHTGEX>~ z(*^#l<L8Gu1+htsxL!MTj~en$5p_y!5D7IJ-q8&`aW+pU+iivF<d;vUbni%b`^Sua zerW9MWQIDqTSme7Lzc9gGhZaC3Uzw;M#228)^zB}>+G~Ng3a#`1-nXG)6dQL8Y681 z%ph1FvuMzqXVaM7c$~^MMcK_3$}a0+MSp5I^AJo<4|S56M#LTTj)Iqd)>NO)|Ana2 z`UO$o_|=M@zx9(b)G6j$B<y))L1Sj|=|t2?F0WRkCo|M(cilLMZN@sgtH#c*=E-<i zyVIH`HsR~SQKzs^DUj-KN2><4VhnYf^eqT#PP3<r4E#zAb&~Tyon(eO$qaRBaHWmD zc(EO%HL1(eL!HJ~ZlyoCn!Q5oxv{e&U2XIiCwwDaO7YGeb!rp63YHyauTi^i?Cf?1 zY=grq9caJv#?DUlDO4x_d^%O=n*=T$bBT61U;K%!lgt!R{iB8_!LkJxNVlP%+0U&C zHeyH;gswSHEJyH;LnBzr6N#XHWB-J7zEDJ405b>{$kLm;F^9a$;c=)_pA+oy2G&7X zn0PUUI?3swPBKHC2DMLun-_A)&6x@8Sk&nu`x0jSm<wcc7}p(jYQfGq#_|H$WGF)a z>LiyJb&?tC6nHot8nSQyr48WY5FJZXQGUl{!iG<`2pz+#3w3I6A`2#%Jtkk+BN%^m zD$ahFKPC^zvff+~)Je_*b&?tCBs0|M++9okqcJ9ACgpEwL7m>jTj&Q(Y(sX$m0}EA zr(WmF=pRn>BjI*M8AF|%@9zZjUkV*@=Nl`-|68Z<eUJgq$*v8h^TtjddkfWRZ$6#g z{Yikv*Uu2cFaC3&PBK$O^@mku&tb8z3bc6thn<2dn8q>@PEF1wOPYvD2Eh{8+vg5^ z$RY0n_-$cr0n8v+cEdzSSd&B2Qh1!oHbtrHlLX<j&X5(aIr9)qP7igGnMTCvN+rTM zC70akd4TPsPT%V%!h+CTa^s%|jG<2E6%ygsoO5JTa7p@CC%L>@k)F&@rzwBf%Nt#< z5YvbJF1}90Ej^JA_Fb=&^ykL6&t*+J48zEM5;oh8#bN6dc03;HOf!&9#VRv~I>~vU zPBKHCWQIEF$5`lx7b!_je&_Q^sMF-hHT69{yOEs>_;IMygmb0!V=wF>PU7Ym>hx*o zPH6k-525GyUkY_vb2$)>KY2nL^{kMm)B2!7bqdI*(;}AyIN3T}opb5~`*~0&nJJ?B zFZ;*Crl<h*R<$cEP8CdHulJf)bgSw#pI?Y;1iR5L4qW0j>e5f%jA;vC2Ek(giG!!# zm#L%68Fe~(Bo5vznXlgNWYkGc4|S3m>NM~S8^es)r2Yxy<2ckQwP!roc=)KdV)&d8 z>hvDsVZjou+Oppr#`dsHQRMQXPBKHCvKFU;Chdai9`lJEhdSLFnGS<K8dU!!pBcl} zY2=W@uw+~ba^e^N>!D6PZ>B-B>-W_mKRz;sI>~vUPBKHCWQIDWIq4yw{TbcBHt$(_ zsME-M$KY6XPn~&}7mT4!7atvkYq`JLeK_`zG1SSlSP+bv)rb`9e2+2I=}nJF*z~q2 z@d`73sXQX0P@Mwv>9l)wB3yowqQ3Ivw@FbanJJ?Bz1TY?r#ghI&ldBm6;-g?%@W|+ z?49b#ea0)hG1KCq-7$^2wt}&<lNsu?Zbv*kuwAZhuVd`&UcHTn*d6oL`J*}WU>kd- zmXsdqBs0|MS+N8N4B4W7h5hU})Jf}=06+T%s2kt#77KN%#9krhXcw(EIem#S)JZNc z>LfGN>4R%Jv~#+rdT)BkjzyhD(@c06`9_VI^olXm>10wC?5t9rOfdVx80r*#D+6}+ ze5LBQ^QuOj<UCL(nW0WHL!HhwI0jpm|EKdm&C^GnCb2iSOr5w?S0$Zmf;wrR9fN=O zG--d=?j~cXQ~%BEw)J9Xa%Ig`#!x34>nNBOVnT-2x}P@`KM_}`PW$rdG+d2==O!0P z*-$<#L!D%XIyLDK15Q&ek=Vr7>=aO^+!isgVc7*T#Eaif)d<CG0-~X_=~*)N-fG6Q z1u%nP!Ok(zGdhPX|H9)`wkb;e{ju;a;0)Q{cn#b45KK-Fb&{Dz#5r5Wz|(E#$?3fj zY#(*1)h7mWu3RLW#Z({a^oGR1%<h*+Vm&@QN1f#IYDIc7L!B;^V&lv^x5$Hayo1q+ zxL!3<;6qgdDZhn}JyEBJdk(<#MbC)2Den|fr~W--!0-D*l0&#QsFR!r>LfGNNoJ_i zstp$Uft{<7kfnTC9O|^SR84(OY8SHUC0`bYI>jzF(cAwDBww<4c~K|F_Fk;RFG3TS z@RkjA3U>8{FY8{CW|xhhmVTR3s7~5^I^CZa4Uylo)T3s6e1SU2OcB-ZaXJd>e~wdo zUg8~xDp+6k3W$ID?N*DQ=PiOpux=z0`n#=EpSl`#l9@roZJrbfK@KZayFNyp{yWLm zT|Zu+eqYNO>LeeFI>`)m$~Hto&fe|nlh?lNSk&p(>?oK~Cs<wY%sXS$>BOffaJinW zo^Hx7oKYvayr`4RP^Y?{i7>kNEA`cfhwNC?DK;h<*46&068$5_P$y5%1E9TBl|*)a z!x-xHl|AwDwaO>e<6r(eqfT-jsFTc4Cz+v6&6evSF*ROSOyw;R>J)Bu47NJ<(G_WS zgE7=;R2yLLmI!LUE`U!cpiaG?`NPG2O-cRQxs0Js<>Q0lsdG8vopB?tb*gl*P@VSY z(<yso5IC*BNXC>lwoWoboo0^?f{_0acGh84Ebjwf3%fBWDH{U|6>Da%-Cnz~<Lb4$ zj-42Ul)%BFR8R!OocGv;ik%$AZpF^u%)H<0`3(=x!yo65^LgHx+1dH*ySuY>{tDeY zOC)vFDZ1Nc_=}~{yz*_isMGMI2)NidmA+3{%;Stw9hI3StJ;1u<hpvE9zG@F2><aN z+kq|MaQz$&_<zsYsbx_om7z}CJvPJkvzKUrF_w9!-D5X{Ui}K45-(O8>NIoEW>}Ya zg+6)vjWg6q?Jw%2GSsPqM-&`gd6zy+5r@;LQ+mf3NVs68dv=M8g*uIR%1=keJg2>K ziA%Al)47$KVUEKiI;&}Z&QK?{4b(|xsFTW2r-4<<n|dX?(8}ord3~spd30G*BfTfJ z8g9u>HLK?}J$$f*)@0v#e^IAO-4{dCa=G*ZXWns!IyrP&2NT_2Qonwd?9>Qy)M;}T zojUnMz?siLrrZ~nV|G%RCWk-bi4jUHi6^}_9p!OEvg);rFlay^*&8B;z#!SWe&OJK zav_;h*rJol%rdUjqHx&nX&}R$EIR$p2#1KcnIyA^U|#&EX=+*2No58Z*W`ORTwCr# zsvHoCV0IeMze?VH%2qP@t7TTad#MOGwltCClQYMtliFX=7fn+c>SWv<3DG~^kPp2x zcnp(q<Uus}m-<cC<q;VRb;@@+9%y12TG>HtdZ^RXuxMBp_K_SKFV-{aq_%-NsSI^e z8S3;Z<p6BI?86G@GxPdTr%vWWkoLVi`{^tuMld@K3E2nz=DuwKp=q3<PHlc}fLjmT z>EcP2Y0TwEgW$o!!nFU<n}4!XpOZQ2v?Ys9`z8m&lo^-k)dymWL!DHn5wUt3&JKo< zk(X)3QQ{1cNOpBfFdVL&Mh8q1hq?yI%;q2{)+Lp;PhZKIF&k!<>;W%Z`OSG+BvZr@ z{?jy?5dtfJo}(Qqt>XW^Bvb1{om6I!ad-O#!w#=Y^udaq{6Fecc4aWQxm~79`RA|y z%TA^l!O+3+GOaUO)Bnp(YJZKgK9!+PGYT4^_te{T^iXSFmdUtp1vkU_{r70$*5Z)@ z)X6j~3RVnwN-qwzyc@GzqhM$-FoT9%7uf`LQrkeCRE9dK40Srb*V<IKg&XxeA!1Oc zgYQe3PT3EnxkgxVhB~E<)J$=n+v($1qQ9t<{hb*Q;Hc@d>U`mS!0dE(?{XOP`Wam} z#PTBOndfuVX=@gpXk-vP*_%T8`aR)QqfRQ*<nWKm9Rwer#E@ev#jG=ttXJ1S=<>;* z6igIX@ePs{UK#)^?H7>?9u}QcW|nbhV*{Yu76XZEZ_z2ea3B=Um_@eC6%2J!%c4#y zL!Bl&2ExbN>&dTMmfPpjVgup#bR${BUqtqwPN8l=aHvKcnSV=Mi4WvIuCcNXP$!j% z@|t#jNjT(<d_ulOiHw6f^$(8#t0SLC^SaMCyCLI-c8-Gk!6m7US?o+OJ00#A0SiK3 zlV4jNbA~#pZJ<snL!DHHIvu{U7oHql$m(1c$84xm{trn|*fsOWTi0~XP^X>z#n-_< z3Xwr6V%boq+JUQ}ecqb%{S9&b5Or$c<^$J%TG7sz(*I;9<K-N6+LlG9AeSJRSR|F& zEE6-msFTVxB39-6dO<KO|0Qah>nC3XBH3qtHt@L6C3>{=G0qH<^-c(cHSJQVe!`bC zV>ZkznN_PG81?)-y>nB<5&qM(vb%#}&$n|lsj%htIki62NoA;08`mJ%y7nS{IYK<K zf!V2g+aUPBZxXpR)y&y?*~ZpdK@c{LPsh56H{PO7YJZI~PGzVQ?GOf|uU)6---`=0 zOvX*;&+U!jZ@^uAK^!NcPCfWH3+FC<NEcrfueU&*k~{)oAT!fZYs4%z>ZG=TI;jkG zQW@%$;!)bP<6c!7IA82lP^X4FN}5cu{isz<aa$bfbnWynez)ybI{Ap`FY2`A^mJ(I z`HNotA~F{06!c&j%(Q+&-6|ISGmXh^=BU&5EIK*&<_`)L*g?{7z2&P1byArohkxgR z04VWK1li{*&Jc)XGs^_P<7FGjgjMmPtYnLNZ-hBki^xd_i%u#t%eXgl`AxR#4P-$b zi%xrQZiJTSW|3mU1oPrQO;gLFPAW6VxZ6)Q!Z}}Wl7C+m|BpI79vcAm%Yw+YL%<p8 zH2*;WXv?;eWnN+)26a;Vi#n+cbqY8U3Z(W;0;fgRL7lGe4~IzwpOTub#7Q^m^x^$B zIPtO|oqJpy?xRivJA{Kx^@qf-s94XaliCLAq%zb=WvJ6u{w~W;OO~-0e~Gh4)am=k zz5Hh8JnU<NXcKk1TOtlBM*L_ob-)A8P^Zjdt6=E2s?<41WHHn!Pu~rY*)A7d(#!H* z@u%rI>J*tpr_Oc5;ZU2iG_Hx5BSD>1rpe)tZ66Mar7zGs-E;FeBH5C@{3+Yg7wO6} z=lEh7B%63I3|7`irRETESAa1aW|l1XgmBn!`aJCzFX9OQX<E}8MreKU9If+EFfYl} z`cNm88D!kJ*5MFz@dEwX=m`IhI=$wP1>E||m${x;y{OZRzrx{On^ZdHvlu?qN$syu z)~7PmsaUS9FeLQ~jW{fB&}A~N>Va*L`^|NlvRPc8L!Ckz#=^{s_vz5XuAHGxWA=o? ziPU?ve2_Q;M4i+&P$!k4PAWs4@_SpG$TxdByrnp1L!AP9ls0u9*o78<BQhZB<b5EQ z>3wk{t*}TOv!PB`^Dly#oqtld7_l6vQ*1YHXxjM^^}bQ!Pj)KsI7gkLvgmYuWEgz@ zXe0$%f8nbKbyArohyQk3D74uWM0)(c50K^a2!(Eu-lTqCvAPX1E@aUr80fQ*jK~b; z%$N-`OZH;>CU{iDKwjs!=yY2P1vYagS<%FzlUg6@q%zbgSK(0b30XzTua4*KqE0c( zLczG(mt3EFnlset#OF|WlNv&ve-T@2ApdEa+F#U3WukwYHe&7;C|mqI89hW?Iz^pU zb=?NX*4-unF9f?G<C?g{LSpqibW;a$O$>D^d2%bn47)=<R{p|cP$#tw)JbKilgd!1 z7EAf7Hadl|MHj@y9n@(*|1!JZI(Jr(e>VC*otzHy*Y|fyXmR$wIJQHbKJQ)+mt3mQ z^WVjB9O_i=Q~*4j{hhQv^7hZMQ`MI_>J*(trzh6YFzM78+Vi?4JE=?~VpUG46%7sJ zQ|Z+=mh7~vc{EU-5w5ovQ-TH=SL=8bd@PVkJDwJIR2s8kX2}daqv2Bcd73|6#1a0} zv;v1?phUnq>QUBmgNj-o>ZCH%>8o2br1@W<2gZqEMxBPVjfVc)FVHt*#i~S|MpTK0 z#5?C{dtb4&qE2dmjdEF3hB^hM?SwNfSLmiSA`^*rG%aXp9C+5dPD?HlFBL?c9G>n4 z*ZOAad|3=V>XbP(67Iy_qoc#b>^bVBwt+gS40Tc&>QwzrIa95b#c29{OLl6NS=Myv zBBkqRh&e>ePDP4XnW|Oin`dszL*@4~SHs(UzvvJCnV<i3@@N(S2ev(;RlAq`lbyQ0 z&rzqCEILi%??rm?C5#N5C$=ukPAb!gSZ(1+kubAZAnB6(4v!;}x$_qYPTaJHtXP{O z%1YL6%ywv&cOkjzWYI}wW*Iludpp!RH=peCu;>)|csopvn@)Vk3+Bat`~zA_eW;Vl z3^H!r+wHI=ekHkmSj;h@P8I%%ge${*$h!n_D?aK(Zb!m&mtd0QF6N0)C$+z*lgd!1 zH=TBZ+3O4${Zkwhp-$gz<KT?(2I(5}oio(wP}*K_XrGIEd5KLAbqZd&3*2tpCSi3% zS=32w19egv>ZCH%X?42;@Tm3yW+?Q9*N553{^Mb22P0XjcH-C$b#fhi5XwJj*J9&+ zaZMJpQ=TyXw9$sDbjD6`HjmlKm=FO4Z~h?5_F6viGx1A~I>lzu$u63IR;O_^X-h@7 zQ74sYa`+eKPK2q3VA5@+7#bqkht7M!?fO!(s7#b7E7`Fn2@q;Kf^0R5xg%pX%q-c> zs08reG=wz$BH{@D@z>|&-U|b7_aO`Ft>*u|Bvb1{om6I!aV{11g7<9$dECXw|D#Sf zWA?)F%Iit{Izo5UsYZ=N_;4VMEH#N~J=96<uPDzSAyw83>ePDd0Vp;5DzP6XhK9+w z<Qa!x=-UkPvYoiJi#k=xJPJRn=BG1k#GMDIQy0%e(4^gca`c7Bl&F*12I{0T)JbKi zlSl3oU_N}CRgM!oEY#_`;WT9S@?j;mS|$p*Sf7F&akrbfINaoMsME5H?GTe*ow_Zs zOcc!fXBQ+^%0ml&uuK%J|COUoJF@7M`78mZ6bvBs0>zCJsFTVxB3AFME(uWYzBg&y zMO=j@l3DNA1B34`APcG|in5X!Gk3#_^x;G+Du&9K4KquYS!NIX9y5dtt0>|K|7qG` ze!E-ILw$(jV8Og3Q|m*WRA!KIVGH)a?(Z{6;R%*$%;&%P=M0}OBee1f9)mjdo}K_R z*RLlp$BR`i+R-$%zs79XKFMOrr@#eI6S=Tl9Ir6RDrN462ZJt>1_Q+112-fac9Fq_ z2VaTb3{C$}r+(}9L!qIU$={PiS=32w7j;q@>ZCH%X-`2D{3`i?c{I=D^`TCs>`%a# ztAXsq0CC3yW+(fR$Dv?`<6-wVVtxvB`cPv#G&EGAZ)S+&N6b!lyYB=i$Iqm1nB`l* z`|>8_^woo%S#<iwFHMI0E)LsD$+I*0V3f)<B3AkBzxTkgYWC31=>T5@BH6+wyP>?H zDzv;Wu9F!ga~>EEt4;3U8xp{oF&k!<%*P`h?uFKYLJ1;{@E`xw;FUP2Y^n!-uLSdw zOsx-fQkg-<z5NvrYxsTPO}w}8|CpV^5ATMM8!nJOQ|tgyr$hV}z4p0n;M7HN28cST z{WZ$^RE9eBKe7+b9(&6M3_i<an2Z}7%fGDI?mpWwP%zZ#H!$!xk-&VsMFzy|6w&<% zRP}tz3>8ES>ZG=TI;jkGQW@$r*nSl3{Jk9NjJwF|L!Bnym<}ZlOoPM-aV(2Eo!h?- z-al^-HqFIe1$Am#Bp!~r&SmHOh-F5dz7E<89g3Z1tz*yrITXK9C`X-kWzosSDG}y9 zv4R5!#OlTDq%uto|H6EGq1vr7Fs$D$9!De_a&Hf$uc-v>&WW=)gJdmV?}m&7ckrBG z+1aTKb((p4H#FN&htFGCc6J5F?S_E;_23f-hB~QbQ74t5PE$koKyq?bDEIG1UKVxo z9+LojJS)Jn#alT;oqRj)1)rBCVOXUE&QK?{zo?VSP^V8N4uId%yDY|2tSi*%ZS6yF zDfv7b(LpfO2_7DWa=pXZgJh8vQKyZ+0P=Q!z%m2H5TZ_M8>o}YP$!k4PD6@LfTv@Z zf$QC)ygt<FYs5V8nKK!3Jrm1@I{g~$14Z_>hN9!d4cMqtswp0dZ6C=Bdx^(LP^X~j ziBRN03j3^CzIvdQ%u%PfEIOSF+zBN<CX+ow#odXhlgdyh{pk*vpRtu}>n|1+b!t|1 z2k5_65k99P%1WK`b&Z9wT}G0LQw^LMvtee*{HMi2nQueM`&A;2@Smo6r^P}>SU)oN zs9;`_sr8{wDig7q_Bk^aZlx|EWuN%-|ESY~RXd=?(*ROELu>-5(^UR$%)C8f$kE7C zoS{x?e~q#}m7z{P{DW&dLLQM`?aVxe$+-Omlc2=P4`h+OxU`EpjVXEvd@7fq<Muq~ z40U??IuWWxyda}1rE`WlscoQ6Dnp%AhB{52VuH1{2if>-;?xLrN-TFAIxZf~`fU}* zM5xoM+W_9{2enAC6PJ5Yr)I^&;OE~p>3yDw{?n=J9sXX0d->_M^4I=kC#P~b>J*<v zr%T0mg0b{(R{gF#{*gO7m1#r_7kv>65m6=JKn<~_6Um~IWB5z^T%f@iF;oW07N<l* z%t&`Alt&D+F&k!<tR8;};Pu9JAlyd85&q*6G>wM%cJ<(MH^IClQ|m*WR3>6It<97e zD15jwbj-Jg|3{tbwu^;#eQhDNfykby(~bH&V3|`9*j^}_Gt^1#uTj>gGSrFAOn{HW z&a-DuVqGyA_YM-Fg5x2kRS*ny%JcgmJniqzZg)M%8R}FsVLuf6ew}Sf6Xj4RwGGrs zWvG+NP^VjOM#1Jh^Wfjh;xyxbI$f9wPbLn7F3*xUL!BDAuYo~}JRxeV$i}GClGl;2 z=f(hbV$EL8FguNX!f!R47|#MLCH~QgIOM3)?kqaBoNR<{!TZVTW5ROGPAb!g7_OQu z98P@LPBtGD36e<G;a3<88nTAGEGtgz4U&Cx4TF@^qlo#$JkE^SFtcRo?ZTjF(r_|T zep-?6SWP>|-?cgB_W-iL&wT#hOER@S)JbIq8Mp9s7|h7OjO^?ruJ@r%3x|Y**VZ7? zt(7=DN1aSB!=c>T9pra`lboSWYJZKgK9!+P2VpyGs_~4ptRylylW{%sL_@WSUr38H zf}u`JtHr~+ZKY`OG;t!1Iu*!_f^+>|k_!Kd^^7{HZJ<snL!DHHI=!Bp0{M3Nvr)Nk z^ZHOH`{@TDbgUDr)c6W#sM8g%B)GBcdW)$i#qkvCRO!xoFpYJiYmS`Z40Xzg4ur`c zt?1}9%jXeCyXL6Vo-8_bcoq)5|NX)8wh*SGPAb#n@YgyT24BL9!#?lLJdQ|~;vEVH z+ql5K^J_&}$!2?Rf>H(Cq4dMKoEfuWX2}+e-2_+9xC0aw+7bTKG*ih<uyS`@*gZ`! zFUi#UP$!icWZadup|H=nGGzQCj=NAN52rA=Gsgx#1_*6Xr>aH6VOE~P@ZcYD`hYsA z{WZ$^RE9c@AH5xZrk!Tjf9&BgOvbG}5CuOQrm(|j1w);j?c%|8;0k7#C^84?)FpW* z45imucRR5;qE2cXsFTW2CzYX2*I)O9f#=7-7<aL3sME?dL*T$z{tDLlB2%JH%MuN+ zYIaQ+UREq0>h$k{U|2P4IGbb?84GpN62oDUzK0D+PxzCaR#eMTr-Upz`8@N7L!08r z@V;VN4|P(RCWqg%g+DZ$A5Qv)i^EGIS?%S1FwT7?DN<kT01cA8O!kG7v7^bN^2<3h zX2Z;qUAW^5t<H@g8Eztu@SmnNZ{!Ev0|$|S0fKo+rq+i#smvhb9D4degVe=j+7yu~ zQKvzV{NQ~rKjP9}tX|aV${2sBYrmCLx|zxu>ZJD9DC<)h>a_fR2$U{+k34NCPP&<l zJDx8LMh$pH>c?4b?wx;SE39)bN_SUz&0|ofqxVB$K*0=BncwsDpH6BUsFTW2CzYX2 z!L8%L^l2VjbU>W!qfY(E9w^n~)sboqMFvEjj01PTk3D%w=##6Qp-$2Hmh-QsR;E5J zFLQ=Ek#%cfZl*?uneY73DXMmkI_=G(Q-GI0{7TFN_b!VG0MtoknjHSdx*xRdUm7M& zjNx%avf#4(c`dUm+<q?3rVNt(<Lm<)FVqId$Yq=vvtee*#`8M@J1=zyzx^VP@Smo6 zZr%XBJJf|TF9h?FOsx-fQkg-<{d>g+hBU7NyEgdn|EN>Rt-cWAVh^V`8976p8n5z$ zsZEPRp{8-1p-yUlMJ#_JSy?ZrlgEk>2zYjd%`3j2$1oZ9<4`DE>TrzhjTf2dhGgYW zY=v)ae3|PBakhs#71+KR9{QNsz(U74!|bHCfjX%Sby6AXRAu8|P<-kjSo%z~fja$g z>H^<Bw+83Ahd4u>LWYlr9elm4^AO97I=y+g9$uE1#b#GJ$QkO?FW4Uzwm!`IzB=$n zr;818)G0BGPQ$DF!IE*Iq(}T)UN!2ZGL4AUyJn3qSf%@r)+2<`M6$LIeIRf9#iVFE zF|T8g%v9M2$fVKafqV^^F&k!<>_IypxD_;l6ze07bqN1y+H<21)S5krG+7~-mt<;v zsFTVJGR`;22ddqlPr`k~AvWqX#?u$7+N~xPT9`OPojxb{!il&3WWy41%z-+o{WZ$^ zRE9b|S{DTA*UpfL0pcPClW{c`hQOyYH_0Lp40TG}9Rb?c+;r5>ubiPy$2~%zsmoQe z|ADxn1a(r|K%G>EI;jkGvhKVCygDys0qrd}sQBFG-}nv9!ydj7ZK6(N;-aBQ+>;i& zQ$!X+ol5ZU1uuW(MEf^0bA~zv&G3c;``?q4RhAo6-Zsfmr=%=8jfwCDhtwi)s`@Ej zHR_}?O%DI+bw2Pg#s>O$B=a~TS;CYJF#U36xb|C29U3Gf>(@iGd$nQKWna#W*)X$Y zhOz76^#*rHc`V`x|7qHzLhIqt-*sVcS&L3;eW;Vl46<xSgAL#@z8a*(hx7lall|8X zu!K3mkqwqZ@c}%G)%d$COnf4;G3uoD*C^{#8S3Q6U#gQ@^(k|&FLwA$#tmy60<G>| zXFp6L>!40uwnTtUawNMPB2L6nr^5VR_JXrtvlr_wafUjnZJ<snL!DHHI@xY(0_#GD zfd5P}{fyaZZ11)(p<#QtR$m-qqfTxGM#GwEZV)O@Jy56KwbnzAHp^MF3a5D->Xfj^ z4~|Yg&!Ph?uL~=$=crS17M=Ec@;B)2UP~UX{l=?Com8gD;lI2+1YXWrL0<XX<#9x^ z{Dngxq19aCyhH9NC0o%y7}_))MM~}t<8i2y%2218^Mavv)8VAYaS=!OPtzt|42HQ$ z14!d9f_X`%mPMUZW{`2m&A~A0+jKJadjkKDI-Thk0-O3SCXKwsD#z@!?`#Nc@3V?@ z3Kz#ZsFT`XqpVM5sFSg31T;+CPlinY&SRL2tMg_vc-B2l9={e0b($5xzh3nzlX%q4 zt^cP}gGHO6`I$4MM6_7XsFT_T>ZCH%NoA<h?K^RB`TbVbp@+zTs8e#w1gLYW1@n9J zo-@>`-qSef;JmDb^?{e1p-x_|>!8Nu3N*aLbIwqwRI80Jt=%(HZe-@4on520IqI}8 zi%x8J2&B4M!@z=RylT`*Wt!CFa&$0ExKjc03>SAc63M0n2SI^R)!@xgF->TYtibU= znBnFQJ6l+EQkhxCoeK?wp3mGNPY;Vu<2(Z)^=Ms4US`orEsHv-40S5!6$BY0-5|n7 z9NVEz^K7`<5f$NHy2z-glf%nkXi~u*>f{y~26a;Vi#n+cb?SP-2-DhsVIMnP<YiH( zF_D`=oBouIcq^s}QK!-?qoCWK6m~cFHO??Q&2AkDdDFhIR=vbwGU}wZfjX%Sby6AX z6lK!k^n^*!X_06HbxNw%4Jzq<VRij0oS{xIYbyK|*%0y-5?K*-isJYE=dHDdEqy1( z9CdnLG8C*HUSox)r2WyUPv;zUO39*A%OTNlyYL!PsOAq|HR_}?)aiL@6oidkM&8s( z=W(dhxB5{qVZkgC)<zuqp-vl@N5V@OK}zakSd3B~m6;`b6ve*+U>HhD^$~G||1_=1 z_eglwvmfcbPB1UY)Uv3P$_z5DS>Y&fS~-=Z`H8c*|7EAeQ7|oZAt~V|&f-v~aeV$~ zZG{!2Wb-GSp-yUlMcbODGSq2Sqg|j^OeT|qfASb6;{rd%fqjSLq$>Tz|D#TW=OjYD zFR#h)&Ek1C)T!M3IM`U?4C(77%A!tc8>o}YP$!k4PF{ES!HB_US(ncu+o4X~9v_5R zZx^%E{XTGpIz1nH08Uv?Xx^u|ILkzxX7}0zBl<bf%paEQ)U@#ysBQOxbl>sek4}aj zIqI}Oi%#utM8Wj=WnginIK)PsRHhNJdY@g21p7yhkUx*OMnohVacnz;m#+@veu=Xr zgJjn4wt@93ci44N9K#s1VP?q|pWX%o`qY7=k3}5eKmPF5h;8tte?7S7AcoXSGPOR` zNo58Zw|3QbXp*M}zoZ<?|Nk#L>5(vGK_y6@C(gQ1r;DYdpi>hE_-H)I8S13=SG28Z zDnp&Br0<03x4$#1$zrQ!GVbEeIH*4GC5zMrL!G{kO9aQ=hgstc@gH>>pznp0)nD1V zqGEGIozyl^CzYX2Dnp%i9_;~zyDx&jD~UExr-$Q)L*KUl01FqB0;rRJ@=~Y}*Am(d z63d4=nHunM<MU#-?us$T?9{tu4D=~=m9<H^{6{BazZ`WskVU6UGj_wYsb%#MDb@7< zbW)i{#Of{mZa4gM&_*96-%ms&vmU$$dX%!$+og#`HApt?*KRoJW~(>NCGH9^X2Z;q z{e58%wEJMAzbPl;2>)r?>YIC^#b_J-VK>3NBvb1{om6I!apU-hS`+f{=h`yGSsdzA z^RGQ{FUeMqoBNS7)amRc{t}_QHhQI5*7|=ssr@y|`c#HG`E^Qyk9%zOcPA__g6@=` ze{Q;ry-wU}^ZHPyp0f@?9v3Hl;~@{uP^ay|u~0S4S^vAOxN8%2QrkeCRE9dK40XDn z(#*7L{R$e=(1q8BI`t^u#I&naByI7`@*?OH9h^;jmc6B;ONqNcQKu4#t03xo9ev>| z%Zs4L@rTH+ey^yHPPV)V`jl6WIvvcS)4P*<;7hggx>MOoygAHHD%0ffpKF)^1zy_f z;}+)UaYVBB{7c}v(N4er;}jnPgJi$l5@2O5TV1#H=FFH4GfP(MR|3R*ve6yth&a?K zsc;hP7-OT){6{d<Nv#icQW@%$XMF;sjI+}}mJyi<b+X~N@_qNS)B7HI!5QlG+?IcA zwXd!2lq7C|4dh(Y)c&GQDnp&l@bCV<UTCj-dx%Ys$+BrLQlK#Z^3|z`>YSlY$F3ZK z)kR(OjP`XoL!I((+6fz9y6DS%#ZaS8Y8$AN%1|ejp-yiawlHO~m9*IcaicNnbZbyk zQ@svRw6U|e;TN;hu1+qd`u6YX9U>k_K%F`^Uk$Fm>gr>Pim}A(6gH2aweqjkpZ#F@ zh{n^AIqGyMi%w1U?SO7;Y;<ogXI?exq%utof0)xwNarsBblN432Z&_DXYGV~_V&6{ zEpd2mknEwh6ACx8)uUT3<;<83GfP(I%1$Vg-&RlPC*p`4nspE3;K6(wJ-4r5UXrQx zp-w6@$hf=XcEaJacKS1YH~)`1^%%VqR&=q~2WVo(A9aezw-XjkwA0@{6I&+gr1sY+ z>r)x(^rPn<c$cq&eqgNF^q7pR&}%O=pW~?er&i_+b(*tnKNRIpvE(0Gi!;=zyHgYl zdE}~JUnYhcbyC|vom7T8sSI^8-fw2Ap0JKiNfCOYPP39cP5-{%N$U+3&)%U<MLs*4 zrtJPi>&~~_E8aF_30O_7r<WNZ#u9Z}UCb9=cBrC{BbE=46&RnRPKUGTwEgO4_;}Vv ze{{@=SB*NUOq0W(-gFCWDrc`(EM?KDh2IwNX=bmdemTNdtwF}Q*=~Wf&bE5va!WWf zX2Z;q?R&Ka-rL#gnQkJE$e}sKU#dJi#76((C773FYJI4a$_z5D$MP-U_{>hPQaqmj zN1Yxo-U6*=+3PJ&izz(RsfNoIu-<N`7w&A)N$syu)~7PmY5I~VIMBa>erS^zQYPc} ztd0Svn~u8Y8=)BL^y@=BH1MdXx9lW#il|fSz%aP-$yHyv(3&&UNo@mlQW@%`GSq3_ z0#DP97aQp(JBv=|$~81?+qaj-UlZ>yMV;1ew=*>e_)a_jvOE~IXwWohQ@)-~^H_AU za$N~-PF3{O<E8&Rdf+}KN1cvj(JAP8Fa#bgulEUa<%@tisZ5i@zqNM=lpAiR-zi|l z<A`Kql0x9ZTRXjSDRI(mkZfDa5SYYwChPT8oEfuWX2~X$<6lvzW~<X)B96$R*<Lve z;&<8Tu`2}gl1!}+byAr@#;uACfz1j0*r~R-IRkZSw>bn-zS`-%E{Y*Vou)Pkf%ms; z_0!En@(+|{)&3f@VW?9?ZzJUE=AhG7Rd`t@<Ic9-3_DXR=)TLUa)vtfofrk1YP;%3 zc8TLD)TvyNjj+3{tG?Y{yfhMZQrktHRE9dK40U=`q@ih3?GRchk9g(}vr|+=J=5!L z`)KTSah!xY)ypVn%Jt?atx%*WXKndU)4KVMgw0NM^=}?xEHOLnS+x+V{H~;*K3DdS zPF-i^s1wVg(;Pl`RHj%tJ&=mkfjX&7lf(bAL@>;*Z>y(W6-kpw<~=7E?(^3=EO{d4 zTnv&`C>IR7dfDm=tBILyV>Zkzng7#Z*j(9GFW5}P5jiyTK5PPgr;T2Gf?!^fsr8{w zDl^EqkNg!Ho7&syxr>NlMx6%n4|Qy^v(q<wzvm2f>is?lY?s;Sr!}$4Q75&(Mp>WA zP^a-hVNhg|ogQ)3jh7Ye@Btcb<k!jU_53A7CPJNFTW^OlEuHmo&SFSWr<6i|(DIbC zKK_z;4F>9@wt+gS40Tc&>U3jm15>ZxL3G#wu~$KzT>95FjTxUzW5dNm@2FFU`(;h@ z`~INY?us2C>U3-22&ht_j$X8!<xqUlJ_FS9si=Fcv-_jd#05F(1X*-)j|qpA*fM&p z&tes!PAb#n@Y_^1g3;4PcZn8THIdAAlM!A&w$(c&UFWOTAeo15gz9Z=b(h~EoEfuW zX2~}27vnVGZ)clZdJ~T$a%i^LZGl38{5Y<SU|y1`^`TBGGsrmG03-Olu+__^iwOYK z$z`4qiVU&UBRh(@8Pq8}zY!WvD6jwITj75?sr@y|`c#HGd3M<fR=;fY=@BC9Fd6sl zD}QWrw4L58!<{qKsea2?SnunocP!M1Gt}vyWkE3Q0{;}yJ@MWG)Jbgvby6AXq%zd0 z;v)}}eNjJJXQB9yIxWmo-&Fm?ZkjkmWGvL_WkVZNlVhLh-$rrFhB{@OoD6?Ox$7fN ziLu1&<X>eu6peG$kN)NON2kE0IqGD}qSNU$(O^BUjDE#OEE4LZGEENu-NG@DQNTvG zm!B0RlC@kI18a}l>LD-0YBWgpp=t~a@vzm`)(GXym<=;aR{U!W^v-3gH`GNOkwY^f z7yo$u92?zdmSA3zsr8{wDl^Eq$hk34FV$ARQc7HhLY@4F@ViAD+UolkiwhvAQ~4Ls zu&r@<J$<y;=>*EMYJZK{Fx2Uo(=KQhWus4?Ak<+pZrm|``cTMD_czty40THWuop(# zIqF3m8*_#_eQdi0avyfmCuWFjf;y?~qE0G9om7T8wQb{R+IVFR-BCdtv!PDzn;V+m z{End>&n-HQTj5}ue(yc4?<6)K)ahrJ#gHp+9o@rOoZX^Mj-@w1>Md7&@L`Ki`&Q?u z)6pzCeeJam!bX?ZKMxg)i8`rFlf&<Id><^gw$nY2i~TK;EV5DxoZ87x&ZmitV2~^@ zaUX1}WUK$RdNpUpY?xWHx68!|wvB#kvxp;dXs-GnfRuhVdf{}zyd+cWL!DG+ka6|w zQowVnoxXHUGXIY{nM$O<kvKa&uDO`~MV;<O?Sn2WY<24&mSZQizeZV~%21~QF^6E} zetUiB=BoOCIvrel1RnG6zKkeunJBPdavXj)cF})75Q?Erwlo23YP#x|tSu7-Y8$AN z%1|ejp-!**Qd3&>Wpu<T%dyjKzviY3nOo_R{?@!*%ud}dS2T^k`G)SAYB_eAwtYR6 z8C_4WS51s1>J<8sf9dpMW!<)#Wum~mAxE8#WzlKO<Rp0iu8cmblx1h9GEENufY(WI ze~^uSH(o3jk?g?WWbn9etH0bVW?>DIJ<6R7dz@|cHJ5@oGiJlglJ&ft3|pVt=+B;t zIMiwCofO#J$3|aSF_<&dNv#icQW@%$t6wtQzGJJ;KX#m#MV;*RWY{=?pFOty!Wrr` zGBpW)ZYr-2xG9o<Am^H<_7`<h8R~SR@&T}N<kO-amYp5Fau9~ivD5c$w(RU0RxrV| zX^#55j+UKWUjD#X{tnK1z+KDEPHh8qQW@%`GSsPdJ$~2C)Ft%qjp7svvs1OhO-=pk zY@tnwI6gz2Rt$DEy<Go_J{c(#!|W7jUIz;@>*yog#aN<F{`~DQex{20Sw0c+-v`LF zz#Mfto<*ls-x8tLm9z9yFR|5Nc2b!phyQ(vB&a{&0`=`LUgJO{tLBgd8}eVIPPxzU zVKGSN5}pWt>F25buSF-7nPuGR+DY)wzvt=hr52q^1SP}zZs%wv5Daxv%c4#yL!El_ zCrVrsF3^D$4)L<6(~GJ}@VqQvKKI9*p-zc~l3>)9RC+Xz7(UcV?Jw%2GSn&T#(o%F z;wrt`U1S8t>(sQ#{s*Cj^$l8Eex>P#WDzAz{0SN}U8{+q$LwUaaxXkSo=#T>THc_d zwt+gS40Tc&>Qw5sy~%3Bce1dr&;)fN#qCYo>eZz_=Y=MyQ?-o3rm#EyG_I|vA9Y%= zBoJOb{7tLKNgvcH?(G(6H|+`C5M2C^PEKJt>U1KDPUX{+VFg^IGa^MdQ74sYa`-<y zNrojS)9B-Lae0wQRyrdYQjC|V`_%)S86>;hEg1|?&Qq<bWoM@{vy2<|kiVmQ+Ibq) z!m_iQ_;(6y?Rk#wnq%47sbx_om7z|{&m_a6`xoih$Kvh=)M@?aWS{|QG(%q3LY>?m zB}1{<X>>tlv00!_YJX8Dm7z}Q{SSe2n_K*reUaHvrx#t0K-(dA>HX{C*aUT2GUGV( zob;Gl2Z$MK)X8RiG8A2vK~G%}XH$9kPt(*kP$!k4PAWs4F6MGH?P!pT2Cf$Bpib`} zIhX?WHK666iJchg^uAY7lWV0wI=h$XFY45<eGn8Ml}mqL<_lj}s8gcjHdw^pdH(Q_ z<z<F#x8|tR$t*hA2FJm)QMP*dLLv#HPAb#n@E`ga2T617^@Y@uoeW*$VV0M@9#;S0 zADx<CiUWU7TfGPo!)%mgRc4l~&bD|sn8#M1-b=(0{^Khpc@K1-Wuqsq6U<98wJhqS zG7+n3UG#YH{As8EY`KH~N1YaNmcTztRLWXhc14{&WyC>WTYEi3zV8TiQu}L^^{EVX zI`(fO9D7zlpIlAsV3>?!3zK2Q5GVbTpBQG;>3E^TurRu!UWbTbMx6rt#=;5Tiu&N@ zmN%%VZJ<snL!DHHI?Wr`!qni<T3We}IHf?H?CLZ%+1c)-uilE|Ley!{RA<xCsh{ZE z0-}D@sY#jTP`FfmeeyMpGt{YNoIf~}ud08#WO;+i=$IUJI+aDI#x8Nt@W>S!)LB@L zI;l(}Vz|0G@vjsFT&2@*Jmag8NcOU595`5Arnh|KIWtH$bNntCQZkkLr!3&im<=;a zwk1~_Y~FgFu6``y2>)r?i7D}L%jX>JQ$r}?C7D_u>ZCFet7%)_?SdznmuN<qxHA-W z>QXHZs_ni)+kUs)KKB>zhilkXTCCq^9)~)q{WZ$^RE9bQ^Czb7ZM#Q9TZ>s|CgWc7 z<FhvA`?PZpF|UI<)%<k``geUn+wkjO|LL@mzqn^i@5i+F*L<8|c2e6wom7T8sSI@* zV(nm>+OHJtXD7;`PW2Yqnd;<gP20>Dn>^~IeJN;~!@}sStD?WClVi#{$X7DAK6&CR z&QPZTH$z~M(`yPN^ZeP_t&h)9r_)(<vhNoGb&uNWd#i~n-KdkwG$Mwp<iQ9SbIe}f z<|T|Kl3gsa8T{7s1K#QT`C=I)YqOfqC-tz^t?cG;X3U0}B@5v1DZjuE*-N$*afJUg z&1dpfShd+kx85n3mt<;vsFTVJGOon02=J|9ulHIR!~dgBH-AUKoiFx!X!pCEVRlN~ z905L~?DhK*Vi-^-wZBGLpUP0DL2V-8-w}@be9eWIWioE#@Mt*j)Jebox5!wi)2~wT zkld@1?zvl>?O}Gh+$I!W?x?6o9T(c6PHG#dlgdyhm7z|LS9_Y?R|=vPriq;_>eT$J zhpEiHB<fPblAYX|+L@e}{G@(e^Yb{=iL9Fhr@iaxBYIh~)9|6op}@^5dVOb0c8X8R zQKvImbZYXz2(i<z()$03MMs@frpe*oa?c2~$~AhZtXMrnvL<JY&|&0d`r)eOZp?*M zj1b&1l`icum&X}poXX6S6*y=FW<F07=7~5WhsLcof35tZb9B&S!Mr3>%c4#yGsw81 zJB{GmHjOsVh~WQGr)`h<-ILX>(#xJ_IYXUtryF4{|LRjvptxxTbyE9ll=Z0$b*lGu zJGh0W(`W}VU&CbF(Mr+q;`IaCy_CpUsMBz(cz~Ffw95!F)Tq;?DG?C2@-a0Ugi5HB z+6L;RGSo?BsME=M<xP*=s?fh12~AL^?(NH(?7jQaxhX;u%uZ*I<S|{ou#FxW{)sOy z>a^sag}~P2()&ylH~eCDnzP0mYHfZ+e<kMrlbtRe%u%PaS#;9g`h#t28@*L47rqFn zlgczX{C)dvgb1+HM{O6Yf=Fgc+z79n?e(Qp+)`(dtUlQY%ZBlJr^(AXGiJlgl8q}J z0MY!SO}nKcj_{wR9pZ1_ZGPBBFO(#hmt<;vsFTVJGVVk4MworePG2_Aa<6#bEgK;h zwb!llTF&flG~WnEbUWSmt{5uRN$syu)~7Pm>EHPwkonL-UwYMYN5Qo@p%5|JQFka_ zh1Z8V%{aRSs^4+dZ#dTC40TFww*k_|xaz}}i^F)-No@mlQW@%`GSq3KZv#`oj^VWD zR`J$A)G6(I9n)XS57Ib;IITjRCSE9G8a`RmjmhE^0Cj5KYyh0AT30XsK`aOAR5E=g zjA~R_A349wADzCKa@6Tu7M+}C`oo;LY4q4iv2~$ND%0ffznbgM=aa6`W}Dyg)lDR; zHN_u(uSlbZjbiH1AlZaFe$Z@KD*aW=qLa$ZGVb04f0$~OO3S)fbn0W?2+{WEY3$z? zoz$|Zlgd!1wtfA<Yu6<@CfTyHtGvn|j_|t+TfY!@9b$H>GRGgDy}nGp7Z*3<qE2dm zQ74t5POaQSpwXr~bmx09T#T33w0zC@)5ovVX+Wwt#73RWhqpjf;xqd4vY34NpH9>K zVJ`nNLSJ2IgF2~gpiU}7om7T8&1_QIRBC2Dx@?rt1a*4Wv7~86`f!@Rm^eN|om{v7 zfLZR*^h({|e0fo)f=kE4(JGq0FIHq|)M<0jB6#KXoYpR#|Bp`PPv@x9`7An3E9?iO zE|k@ee5lG70d-QDCWpV@Vn4_%Y^&$-5sObGyZwegwcFE9pC~`@Zjfx5w;!w;%r61& z^XH3d%!ZjIyE@1p8rR|1`_76u!hbv;@fSDO<ad0|{Vtf7WNLk=lgbP-?&MQHDE*h6 zKG|Q~dxbl@<STyslZkeEhhk!K19ciX+z&?fw$U%|w_E~N`)ic-sSI_h^F0u}+u7-- z$B5x$GR_Nvp`6KH9~D%SGt?<?1mEG8bJjbr6hn$SMU7YsDa)O8m#$*Y3UyN3K%G>E zI;jkGx;Cz!X{>)J^_=X?>qDI!D!H4E9NSMTju0B7PTTuin>;rCqL-q@CV)Dv-`x*t z?RD4n?_w-br=km|L#yf)_2T_4cVjlXkfTniS#<LC<sb4~cb>LrEY3nuCzWY(_+M`G zg+Ba~#WQD#t(r*IYNs!pe{+$>o)<IG2FZ?8^MyA3Q)!Ey7M)aP#<B-|A>j9U>M+`( z)7Q%Wu)6$t>KJIzNiB;ysSI_p3G@a31s7?bH)7~fr^URD!HqA`1t0HohB_q}eW7vr zi?qcfu>}Wmu4!t2Q74t5PWg5Q!uS!_=?8vC!hbq>FA9dph+8zHkJ#y;PQUsXVO5QX zbXYSd&QPcA8+@Q+3p2GXERMTSC$$aKNoA;$%220$)+J513%S$r4TL7BQ@!cMP1E}g zq4VDhO;D$`hrhy$C);W0YAeoAr`})xflecT(gJtI86fHuI(8w%wtP%)zOlTf-s@_P zI$g-3Q`b|QAmF04zNM4c&!bK%)8z1fYaa?{x0Kge8F6MpB>Q<R6k;~p>gVI`{L$&o zq)^!0-c~=DM;sCxWt_^)lC7s<u-?X2Pbw$kh#Xd{c18#Zwb5_17tBjCwJhqSGSn#& zLcwmot)A<ym=r*rK5Pz!hnf6-^hP4lqfYIrg~G7o<@9d#g%YTf+F#U3WvJ66j|lLv zwb75rYjI32U!T;?5Wa}3<WP^-hdMpK7YP-jD(KENJUK(1Ds|cjrJbGhz{)P1p-yTW zsFTW2CzYX2?fNw^S?BSm^Bz>@^`TDY6?IJu!}iec7sOdQ>J+lSoav4Bh5D8eH?5#f z-!6}b7KPmP{GG*EqE5G#ErIk0E_$Oq&VP1xhTA#nbTNxg6T5DL=^IW{7ax&?Q74sY za`@Md-vs#|pQkgKSQSLFv5Pjr%vBetRdMkQmqD^}#WumTI;nJ~Q4EVQ8)lX)PuM2@ z66y1F$zBmh<j_R$*GCM$eU8q0BAAzCYJI4a$_z5@`@~HUG5!L5<Z+DuN1b5hCRpNl zfjT>h`4!YDaKt94^WhvlFi32{sFT`X(KdgCR9P>mQ=6woIK=1Kp8giY#bn&_b(>+Y z%QZUtj+h2Uow}z*!un3>w1HV1vj0z~S;6pg(p|dlzBOm4liCLAq%zb=WvG)|?$V}e zk1No)ZI)@wPd7`NGK+Sj-3JOyP^YHNHB&@KBOUlz^cQtHZnpsbE%k$*t(~7U)G0H5 z72HY8pjsQt-I!7LbJXcl7M;2kh=rR|t@Yfs#AQv?NoATG{^&KaP<}vpJ>ZiiJH;2+ z0c$7Q>M`T*@l|V(ao3V#LF30nO_MfrX3U0}C9Ao72h90yquZVnaYPQy7Vlj!bgGU1 zHIJBz^pZ@i4|P(RLB>7Hw*%NZTRk*TJX41{86U+$O0tc<bFQZUr<3>CSg1C$oNiS{ z?3_?1wZBGLpUP0D+XLfZO;~w-XJL_vn2cNYA|BfDetaAxh7Wa0x|YblbL^m(KG1|S z)amu0t?)9xlin^|%uk_CY8$AN%1|ejp-%TbJxx7=S5d?9D!e|-PKQ}T)8boEl=%s@ zQK!`R4yLv5-qIK6E!iog;ZiWHb=QlfTC&sO%RZ3l?5ckp>hdQ$oqCd^PH9<mny@|w zzTG@UmroYgmry5_X>$0R#Kk~Fuk*BLggE9PlG&Yz;h!JmuYo^jc`&L(4}Ra#uk$od zcZ*IcGt08!88Kkzcb;aBw&>Kf{SNrB;vC&(6byAz%c4#yL!Fu?#=z_H7wDSzmOBc@ zor?kY$W$6&7LP1qcDl7a1`hW<N2j+CLxno2{Y9NrhC0O+kAu<0)9CH0PP{DYl&~Wn z3RqvI(<+EVV${k0Od_~s-la7sh@nQEUaX3OxE6P5>waP`3UyN3K%G>EI;jkGGCe3~ zim@(4lUE2$P^T*;%bC6{ZAL4&SSAW4Ot&)8W<m5ooTv-4li{{EytVyFZ^l`&)777W zkhlIrdhD|$J3W1sqfVEz=%oAjvNe9!$fGi2cyp+e$}~Crk4~&+6HBI(tw#p(I3ih( z;fq+!mru!~*<D3h$!4~j%I<Z1M}F9~;>?&0GfUPcdJ&tH@R$tq5^+Rs=~F7sV=V^0 zB!Nu@^O8)h4|P(RLB^eHWMIyfUyv>{I`OiYonjr9v-i0kl3@GZoS{ysU%c79gga#F zGcV3iC$+yuS)a;Krypw~*uMqu6F4z~mt``}uR<96(eoWy++{dts8hLFzHG<T67=-V zp`4*kC0?#!+w$k7E3b&MsFT_T>ZCH%NoA<h!6L`lt-XCoK`T)o>U1%PvAi{wl7-EO zafaEcexYToe%doKbl4EiP^YaPU6`l4MoajJvbeL`cO`@sNJ%9R%8ve%ol1PjQKu_e zbh5JdW<TcKAinuT)u@xoG&%fbBbTwC@6BXqWM3XfB&)o09*a8loah5Oin5X&O`pIf zSI#6Gz7o!i*)X$YPp=u+mtRkbLvzaGh#Z>lRc5j7qh1qRTfw{}Q|m*WRA!KId5g|w zM{>O)3wpQXWl<;diA9W=ACcc$cg|3!p|e&nn}B;{(&Yi1p-yUljj}$Kp-$tDgs>@p zXAqJghK9+wg$)APk>~G8`zAt9)G4NpH|t%i1dTf}h%?k_){te)?O<N|;;1N#I;m}- zPAWs4RE9eJv&_V5tr$vbJQwYvPJ1#AvGzSzl0p>+bA~$AGt6gWQlFDY-9;Keor<n) z&P=a<lYQP|Sx~3z1N@oQkBg*N{^5Uga{rd2PFJ(&RPx`IY(=}HB;bNr1k_1onjHRy zCzr5&ht87x|BB{`WG^btXA6C<lHSg3L|Mtw-%epu-rXgxOdK~Dvtee*hQ%&qD@$G> z_kM{uB8R4|?OgV&%}uiAo?u>*sr8{wDl^Eq^|R)%<7cmv!}cwCS=6cN$At`HE|ShC zM8-m$63Z`RQA1CYb-^NIp-yUljj}$Kp-vBSZ)7c-q>^uogo;eY?auGZ_W!&?e9QLd z40ZC|w30a$$V>N~6q_FE^n2H0w%eRZtb9aS)Jbgvby6AXq%zbgV_g#SEToe+VWM5s zX+q}&_NnUx;*~DiMV*pb%w@M4TqVr04`-;;{?mkI40ujT^%cv4I(;JRS=T%V$<nkz ze{|}j?ak>m_1CiK^!nv|R&rhfIrXC-uNrkynI?z-?7Nxl^OFO_ZCw{0M<jEaG>KK+ zdz{p7sEe|a%?cXJRuxSp$5K5wGiJlgl6CJplf8L-jHKpo$m56{nm*cO);!@fIrv<Z z^^#1j4|P(RLB^epp1>}@I7w!>x8P+_r+0K3n{bhlareb)M4jv+XR{USQpn}Qe{+U9 zsr@y|`c#HGm5N-&+H^cZrtTIhG8yMrYz4b)d!Fp>)QdCJY0}~a?DyD@q>DpO&QPbr z&!#fl(HW$>Nt8vM)HYBjm7z{5L!B0mh+?Z!>yUq9M7yZd+|}FI(q;Wg%S@pN>XcSv z9D7&e7#Y|_WN6gsYwr52_vh>6p^sP=)Twg)rR+`W4zeUyzdt(7w8~MZ>sfUA-ES+a z{c;f*wxAWS8g){cCWpW7rYP3Ju$nY#Bj!?wWJeq9WQCXclXZ>7jIcqn=4tV)LisSV z&DMo8V>Zkz+2nzV>|r|}68E==BXVe(uS{U~ng^1}{66ddbW-a>om7T8t*^U_wL2F; zCbkk+@lmJQpJLeLCF@D4L*h&fb#j~<$yV8~B-*HEoS{x?e^Doup-v9NV%a&L6=X~g zotH(OTwP+=ac@83T7+_jIytu9#!NBEWPDA+8R}GeZ3OGGA%W!WEXtxzY8$AN%1|ej zp-vrBlUa8w&lbV6MZ2g|$$a}+%R2j8{7Mp=6zWvR)yPuX1d`YbqQ9uqX47JJyY*hO z;EE`VI#v94JL~p+3dy&y<sY2_i{z-&jVwB4EI-Bix3{J1wu)7bI;l*P!@uCoB~~h` z0$mhdmB$gu>P)%A`X6_txv$xYvXVW^_lT{nQk4$<BCY`%vtee*v?`xjyJJpt)+9Oc zAa(l7_cgmduOhu(S1>Qh)cQ~-m7z|3kKSY2n~F44epnTC>iE}n_S?gm4)zdwqE27> zUSM}8I?(y?Zk(Y`YJX8Dm7z}M7C&ZF#@Ns@o!xm^)XCP~%nIdqr0LOO8W?qoZgQ3# zx><{E*(-(_b;`H+5Q}|TmpXJ4Wl<-!4b(|xsFTW2r`e7!P;l*9Qv9Tt;6a^A54VH+ z0m;N~iC7lYso<#{Z2sWN^x{L&U)1Sk_s;BYWIY=DRg^`YO8-2|N}sT%9_j9XbYi7) z)ahmxos!F*WctYhG}pkoylT`*Wttp*_hOgW(27OrxL#Fw9Ffe%^A77rOVN^R#2k)6 zvK0d!v5i~G(#5-qb7stjnI-E|>LZ)mqd4_&5ZV!`&cgk#Smf_gG~Xjp)=M(AKGaEN z1{pUY{vP`=wlocmD#y#BPIZ#5F}sA~bpJ~y&QK@suBoi|tHSi)D3QfbC$+yuS)a;K zr!ARgHl<hry1k?r1}5Wbt-j4%mlmbp7Fe#?b=-QI9n>6XucKlJQKz|ahgi8m&QvcU z%A!tc8>o}YP$!k4PJXWCVD-ikq)U`g2Xz{9sT5pn6hxX-7t4Y=y*U=gYCX25o5DqZ zQKzIJFXnLEg(k;{vZ&LxnkQI?E_rAtsQpJLbNL)~x|KzzT=AdT$rwlK@=a_tsFTVx zIsB3DG>CMnNH5i^%;Sh;nVYO2q+d0fyjNVXFi3W(eqo5XT9Ym>XVFPzW*Ju|)*8$Q zc_s=IaYPPHwR$CBc=u}5v7caGlBs1;CzTmw-1A%c;p(dDwEu&$ye#TeJuMGBI8>RQ zeB;O&>QtrNZ+75;3vF6YyafeyQu}L^^{EVXnlYg;q#U)QHxk5fF&WptVgcy))R|5# zB!={cWOdhnV{WbL(RJTM8>rJB$Cqq!x5l*NR#6spQrkeCRE9dK40Y;g-v|PqOe2?z zi26_`&))Um^yC=wgo^*DQ%1R4?82^E^krSKEU43u3G0}L4WSJRin6Ga@4^o(>2`T~ ziq-g|ljfMCPPen@RBrWp=5??<%?uP<4eF#aO%DHx-XSd4FMImAz32{+Y+g_#GkkZZ zS8IukV34eWX*V1CS7my;h*%ZIY?xWHmW7Y8Q}>-{!YmO-<S<MddVpQr;7TvbDMl~J z)cQ~-l^JAQlkPFBd<9oprm;1z4|O`fEP_3p>qs5;IdFzL)g2JXwxrt8(i26NMV-|C z8fASdL!ElR+r<Wzw4)trh~Z)~?%#1yY*C0K-M3O~{ixH}k-n^I!y0r_bXCq!r|J8b zvid)2)0M47S=32w19eiFST~xcGSq2xtwQjv;11IIn8<*lPJVNAsXXvkVk#MGC6)zs zx}NtRmeAOl8t#k!qE2`296u7)vKnnKmj!jYH^rL`jkcy=Pt^LOQ`Jg2>U1ZIPK&o} zWA{f?rEyp4@a9k_m1#sQYN2&;Oxsg~zK^hEC%+^6nd^Z%)Ml$CJF$;P*|Z`abX#yS zUY}8xRhe0`H63m+w~X2}-P)3!ZU>~YH9zap<jbNg>ZF!Mom7T8B{e?8TAS<AAA2p? z>9$8AJL6HC&a7bB*^$dTSmFXV8gj&voz(ssr6wvvovzG0$y_E?qn$^JodlC{EnOI! zJF6D0l^})`bt>T>#d1w+O0NcsVMU#0^bcYa+z54^E6SoyY8$AN%1|ejp-y}G`#ssr z6q0h&lARLWN<*8SX5u_YEDP$iW63gB!Kp57DIY6EoeJi9e`L_&CbaPwu`H-l-rP}a z)G=4;<!(84YU`GxPIt5DRO4p?%PiQ0I!_mig*vHBlfysG{RoR2*n(E??ZV@TWCO09 zW!@88()p9c9fk(U8vk{TT{+X1wlWmr%$N-`OEz}KE7q#CPR|r9%;Sh0n)`hou=i72 z(V9$@^^#1j4|P(RLB<{2lFIT2wxT0fiVF;wohJDmXFT)Myk>E#fZ554e`TptwdS<O zgi4$R%Cc&IjoC2N$!ps!cJ8hxosmmu!em^p=4tG{xdnA;Qk65*$+KrNGsJeH_D@6` zsMF=I+gPW(-KkeuQ5JPl+eMvJhB~PXb=ow&1}tfmN+P?6%|hs-X|0F5!mFy^NZrn2 zSx~2#TkDwT+*WjOqF5HxDQesMBR_k0p?_&&Sx~3qdv>vR?;B8`@os;z)5JPC>U1xQ zPDvRbSfwG~$)@?jRMbgjnjHR8<uvG2DL3t&C@x_V$-GBc!PY_f>Dv01o!zw+g<=2A z!gO(fSQSPYr!uo-9k-VP`=_~SOrfGYj>w_8=T#h%hUTXe(?nS>$<(r_lgbP-Ztbc3 zaAR!&T6U;4FN-?;)h-XXn)1?m6D>Qts@6Z*o+ldhN)%ZZbyE9ll=Z0$by`!%3XHWr zkjI_G4u;9Nfk}Dbjrlj3bxI5?>U3ciKWp7uf)1-Jh81=CIPE3-Ov=&Y4MbVgNo@ml zQW@%`GStcc9RE^RtwLm$Stx-z<x6ydJB0?5ml0xFP^b49>1^Z4BJ}eC(O=XlvswhR z>*Yv$EU@TgZ1Rj<djE<P+gSaNPU{=ys8f0tooW_e&BC|a)2mKm5l|<UX>#~4d<tN{ z`J3`{ofktxBx@13owa>XiTdmmXJ-b<R=nTCnpUq)Pp;0#nK2t?mh4oG6U^~bMcU)L zh$C`nid!FI(^poZmyQVLC7D_u>ZCG*j4SXZnqA6Ug$5@JJyEA^L&BNEa93*8Na&8) z$#H}q>yYe7XJk5YhB~SJHOl%_hB}=q8p}Mt@yU`nv86K^x2)M#Hokx>?NCq*GwNj5 zbS>*!wH7Vr;=&o~H1*U1wm7sN{e4c9MV-_(P$!k4PAWs4j!iED$6M?r7kdd!P$yP3 zFWl^KowQvgHhI+P-QIyL&z_2O-xz1kP^U*)=#ky;+-RBGVp%XdoeN&coHv!HefwK< zif@*qPUb8+z3caz?OE+igVV%fqE0H)<nT8+ZUwWfD%1S@mbd?O%EgMo`L=F!RGb(> zgN*ywu?!SHUz=8`o`*AIHq0y;YvKs!MpmYJvWO#cXtr&zg@0|_Xu*ksc}b?$hdQau zAmjd7Tmt&esX-q<D8$R6PSa8gK|o|xdgoqg&QPbWm-0f3lNIS;Yq43NPHKORvOble zPCW~jfFu6)boW{@G)%^Q*<J*?lyIRv9*VO^)X8dSE_gn=4jpnuw1GPP6`IMeST~_X z=8CeYliCLAq%zb=WvJ7Icu%M`a6CzM5}O6;G=7gK?3f%yj?@(lb-I{pX62u|({hEx zvY<}pl=W-@(`n!>5r;b6UvifXoo-7r`&!<ha^tTYb-JHLrx6{lu|;-uX{@K%l29j= zX>$0hG<(Ft7kbctJBTfvNH*K;6C1vx3H8}3hR`5c)v~$ar#+!-Z-_e}joC1>WcRuk z1+8i$dU3YK%Mv*>!+z(7Zxx!-0C&N>Bvb1{om6I!ai3p(Wjk*+rK8T|=VehRkJGPM zdfCQw?0b<tQK#_^_nBMU26Ssrv00!_YJZKgK9!+Pj(*=+&0)3a&Rdq-=Nu9<*`mtz z>GcX?xKO7Oxo@#!%_#lxNVI`E4Jmb+6$@)mE8G)hQ75$x)JbKilgd!1mDY9PgncwA zn<UyrojN<#fdbJtNZa0mp-!FoH;MZsG^f_n#j>DIb@w-Aaqm0Oao%ECP$%taJUjcw zjrLq-(dkRO9Cdn-MW@A4KiRcMMR?+~=%g}D4uAC?R`6+XNqWIi++RZ^3prH`N^CAm zS0{?YX@g{A4wZrRmF?&=_gtJAvtee*rsx$Q?RrUif47K3o!WP^h1#>q()yDHL!H$6 zP$!k4PGONHVB3{){P}z_ET~iG;6m_Nv!>3E#4J1N)bOvo@WQDCoyXrw_n%H`e^Dou zp-v@E6@eu-1!(83A`>yGUAylEA%0L%dbPM18r13dR1ID?wx>^Yd(KcNzqCviHK;Nj zzebcrozyl^CzYX2Dnp%yq|^YXXKp0&rf3&+%A4p8VLnSp&q{)!POG~;WU-y?X`eEp zzo=93ze8BSm0EP3+$>P1dx2@p;Zi>O?773AV<)GsIqH;=MW+@s53w3M9qH{L(M`-w zD%0ff$MMg<ytS%Gy;oWDI3n4x&FL(6#cH%D6B)rE*(>&%Em&ETUby;|uWn;D%q-cg zF}c97pfdHkEZz)9<j@oz{+0FoT8$R!DwvmKYJI4a$_z5jE<S^G>Rg?cz9)tXb*dD0 zjWzeLOeZ-O;|z7GS>QB#ebI$34;5K9P?lBuYs`kBPKKm=?B2`@G^2^ogvq!Dsn^+# zNM4_>*!oc?lQpnAPPJ$hfAP<MI$3?)&HDN@q$^sAvZ#~VF6yK*)JbKiQ)Z$a6rL4C zB1?<<P^arPE5ND6M~T-Iu`H-l8&fzdd9gZmxGnmNIyDCuR&TZkJzG$eMV*e%TgNUJ zv!xyWkG=B_isIQC_F_f>0RvzH17J>|h|11sbH<#*nge2145%xh0-_>_fN@ofm;)x< zY0Nq2xaJ%&$FIB3`#QI`sN(zoy|;>6^?T}^?&&?xoSB_nd*5pt@<8Wob$V>2)5rFo z>1ksn^5KqnvoC%NSY|p={xQ{ZWu$$rM!LF*H}-<r+Z4<=Ri_qd+VwYkX^n#Q_~DWf zWA-PLJMpv9lm)X0HoIWijBV?yld;ppo(G~dE$)=eNcXHo20Y`rsFOS%>LfGNsliaE zjM$*sqzL8z79Vw*pJJPFDX}JLd54z|bt*E?CL?8ERdTZ^R}6KM*NZyI40W>qYL{`T zrx!8L;}0WHr}uug84V6sB)M<%3o7aqJmouGa=JE|vWL&X*P_#P-}0QUVGmW(!+0+0 zB+r35$qaRp8S3=Rv1UfcwNbE?{anfa>U8XkK4Zt)bf{LBGt|j=;WD+isY}ud^J77s zJl!TxN52-N{9hi2I-P!(OdEQaBk6CP|8*xr&un#i@?V|)tJD9dPLchx)#<5~PNOEo zQ2Rq$mGiaxF;nqkCo`SsCKs2@rhAuPRNQa!@7I7}p_^yWC4ast39-$2u3#6;6Dc&X zhYdCLjG3}v7QwzX9Ye!?GnKeTJPyPeoSQAv>rzf|1I`SB$>U*nl9^G&dABgq%9%R2 z9n*y6Vt1;uC4zSD_CyKuY0DUPr#8PM>Dj6$l<B#;GltzsUav`vCo}9$c}LBn{X*|6 z*Gu+cxm3jUyfK^F*S3eRy55XocPhSd4z2G$5C*R3#Ta&{rCaCHW>5T~a8aI%-ASGU zyOYeYJIM^YQ>?8*PbPF%3ohbw;KlCR%I?%N>5bVgS5L;UI|WW#NC%Yqqa2;j*NffB z=~O)JHO~(k&gaLB-KlchX!@>DywX_T_g{BfKO|e7o>}SSl`@xpq1%*Kn})EVQ74({ zMEMVHm_>^&zohgH<cAM}HJlPkOJ#mnLUQtQ83ntW5={H=w1<=xjTkd!!7PHUm^g@D zxtXc7+Q#ERl;+O-VYE!^ToAa4GlO9Ac&L-ij3Vyx!ils^kPVFf(~9MyPK&36(d3R# zmAUKrDS$fpuZ*N8tDIE+PBt)xI?3xbiScBHI<3n$o08rS6_14jSuPcE9i~Ron|&Q& z`Gf(Cp-vs+VrbRH!O*~wGt?>K<~-W4R6Qsb!*g@7Kb=mV19g%a>LjyrBDeLII<!^E z4(e1}J_qXbs9R?m8u!@jGN~V9s8htv1bV)>4mRiR%NXj^sBa=2KgA!SZ1}ODP8ZYW z(8ihZO08Xk|LJsMM7BCTx6&za&|I2#{}*L&C^r>#l9^7Fzi3(%4Q^uxX&xO|90*pf z)J*D-+XF`4Y0Ps48}Z3V%Uq}q$HVI~X3BzD1S>so8a?y21QcG%<3N<gr=O9A)boZX z@the1lgC4yWM&j`OY=q0cazJ(*P9JkF6!hxb~fE#wJ7`u<%*$BZil1k&V;-$pe0uf zb&}U>6647Xb!u=giVn%+4EcNaV7XMp-Aa$9Ew)t!_d5LSN1aS}V(9Z+VX!=%f5{eg zYH)5Y4R!7Xt-A7D)JdKLb&?tCBs0`$ab`C<!tSxT%{x8^>eTScD0=D7)&u!E^DpwE zPR(uO>4L6hp!^lSUexKcX)Y}r)D2Q^@?%DwN>z`cgBRaaDu?&_r_=j!+3NJdN~e+| zH`3v!yFy&W`fO;_NoG1x{*E`d)8aXYLD;YAEDi+wQer=CSYaC6`^%rg8U-tVh0<=j zXT!Tp{;tN91+xgYuh|jm{B8ogF3&$c22q;1&WGu)`7>a+GiL_D<nd4^nHfdg@HYqO zoZd5_pJQp3i#pZFpGL2^jDsqZ`G*OpQ>zPGX{6sk$nVBqZq!L$uStw2Gt{X&`xtzE zmA>%Z)}Q545m)Ew7W(Mx1n7Luk1^CKd08qAnzRHmTsT9WY*W|M<4>2uwBL0YL!IO~ zP$!w8PBKHCrY_x0SBzPco=};OhdS+=x{qd5^HrJ;t<4zf<hyr0Z8AFy`cC2hjXD*4 z6+?TsFv03EJQsCpb8{o@Ua1LGtz7S)PL5Nu)#;^`PM<5qQ?ucTLW>2lp;0H9=|uT| zb(%w4Z^#Mn5A$n32-fZyyLam40;8t2=edHltv8l_Dp?+Gm1@eEDGO#1Y`rO%#>^}P z`FwdCh|)wo8AYLYDHu|PGlO9Ac&L-ij3O>@%ye4&VsThEIgsU|PMg=xq6ebvA;N>7 z!Kl;q=(%+4o!`p2H~knxo#geJ#CS6MADtf0r6Y&uhf{wCvs^0T3^w!W)zuZD#_d6j zp-z1Z#nIqCGofrR&QPb|Bk^>5xz5o0E6+up<T+3$nW0WHL!ExRwW0Q(oYjqU`5dUz z#azSapuMHcmA(#O40XD4Fqt}}6^AFI`!j|*jT@6phx>MhokRJtpicAL;^+gv<H{3{ zVgGchGb3A_URmkX<#d3#@SDBrj~2t((5RElbfWx$clri=sFSR|_viN<AlTqFsrtj$ zho}dNYdSr+;jEY%S5!abY{KG9B2H!&!7PvZD(`btRP)^C7fKMN$$7kv^0Zt9wRk3H z2EpW9)JbMW5%=Epj6U73tNQL~8<vYY)vMA>pLT4P`m}<kQ?JV;eOAF$YJ4Jpc~K{M zy(Tf9%uuJo(OdP!-sMo^T!yk-D&q3)8LGdrqo8?N`5}y<P7`zIF?ZS#s%#(08S3Oy zb&py3yZhjv`aBnPlIK93WQID)40S3Q?+Dd9mQnNn;rBnNQ}oV<%9{8fHRF<|(-+q+ z>Wx0B>Ya4XP^Tx&E~z8@=c!%0@nb=q_T|hS@OaKHHGWXgKb^YH&Q_<_RyvJ~zolC1 zBr}~T{{Yhg)nROsT3Ot}f?(ClC#sXD4^-3EYC3J5Ia1v?&{Lg!PSZ(d7LmJpoV)7a zNz^9WcpQk*9B<iN?Ukpd+V2Qw2EpW9)JbMW5jW!cJhgmCNA+Tu)}6`@-JlMeJ5x=Z zujv%r^oUB0E7dngHJ#-3n#6cAL!I`AC#de;HPt7TG@ZtuN>Rsboo}uapy^aS`LfzF zd9t!-qNdZ*QSa4j{gTsd|3fEv4%A6zsFTc4rykwIm79GJsU1THvDXT93JtldFPDB% z_4MP4VRyPYxF{_&FHXI<ThpoUjK(zQ`_k$gJ58r9UCrvK8dU9U&~%zOH(Q<FSnJeh zHqFs=iGKNV?P51hVmeX&FQuo`G2Tu}!#Y}bs?>it?Hbib*>2Hv`unK|EmL%Xa$<B- zwj`6tm6=7byRm`vVZAO&u?aj5bqXh)>7QlOl!lWyL!IPY)JbNjQ%1odbe?{+a`}d) z)6)y%Y5UQ2l;d+Wo$4N*LF=Xd(hnc>A390v{U4nqhB`IbJ&`);>nV%paZRYuuG6xq z)H`UY@-u8OW7wTm{+LM<jg{eAd(N;s*;a|Bb8f#<hDPw*T<lM$lV9im(Mg*3e{_-< z>Xh$u4ti+u33bR>O{YG`ys2%2HR{KfnofV*7t)%KhbVo2XcxN<qn6QHr=KfzKJw$k z?sRQxIQ`M}V8G>d+QrTkpRG=Bt#p#F%m2N1VyA%6M1EaRr|$p9?wx3IwmQAD(y8}` zHFV29fam*$F;h_|ndw9~S#^9FEqkLKjGv<2isvH>Y5u(fp;3FSJ2kpBhYnme0e0r+ z9mXVbWo8lV(b+k)O5HxNtQwC4Q9^Hr80s1w1PwhnGYBT<Vt106QN%qh5J$sn4TA?A zweFN=&%RK5t_ReA+LetLE8-UFOmwYtYlvIkkFg}d<n^LXGDDqwa;~9C9Xdd2@?e%r zMeY!XHMCdyI9PAsT>`t)&T}c$<6|nUG4U>e-6?TY3f=J_4l?KQT<lKr9N3*?hTTbK z*qx?)h@o3|t_ld5qIIVRmP9%bJQb(&1K1pRvHRe<jwYQ8hQ9^0?qnOgoIZV<0M)<p zT<lIAEo<rI7S$jqedxb?r{^oO)#<&JP8TLErPsq#VB9-?9YvjFrW55~k+_f^u-yy~ zQ~2{K5Ntt_IrQ?|G)N3?$8!byn-)fut}5g#)`T%r7R(}8dg5$4rp7L4+m6S9D9zcf zGihXr{oq=gGlO9Ac>i;;ljbmrxS9_mY4J+?AWyJ%E8hJ6d^-B?c37NG)2Z2oMbxxm zBMd*yAM2q`@_J2TJei?R)9R<t<z2VHwq1i*E){W}%~sJ#_swvo3s(nq%4xrpKA!Ln zOjUVVQKxP0N%Z>kYY?}G=b}#X9H^7bP$!w8PASVb)4>aVDId@AdGX$<cJFO;_lpY9 z%30INw`l@RYP%28^!)T`#{P7=>!pk|bjM}*-G(0v>QpOZCGApYDZF{FZF!MzZMHgn zu+mB1odb1}nNF1dzdNYtbpO|OP$|DDTb({y>9pZ?ce<}yF7l(-5N0asBs0|M^w5^{ zLic=R>{b4G5D3LCeXm2e)vzZmI`a#RQ81Th<>{+7P9)=KL&i*5FpFUA+Y$PwlReqv z*oeh}IMe6%szrll6eMS!@?3*p@_5*tWM&j`ZPR_}!sZTSM&nj2H&U>``VHu*<M~OM zBHD*6ztliFvPNFg+@8Os!0sfk*CcXfhTZA-nHe;CMgh|GEkFCIh)Y>MiPrKcME3UN z7ZdDG16%i?5fv(s^DB7=#O^fOzB#?GD?x@7;@u<{`_t*<Ij}p)47-!e%8A^D^AAz) zo~f`>bRz6d=ij8!R$mUmqd?w?@M3p%iw}KMu>g6$nXebS(@48>>a=rCWL7zTEZCh! z2aTqey4jF={j?8R+V03!r%WrIf+oLL!xlLcV--y&ndwCNAH`f$W7ZcXuls8{U3A#2 z2J|aVekSn?j8Vj0N}j8(801dgA8){zDGO#1?6uEv)uu{GvdWRG1EMs|=teb1NGTHZ zgy$LrlgC4yWM&j`&G)CM5o1dbyO5SF7j^RMsH)HMxRI2peCr9kcWUW#OZA#nggn{I z?*UOKdA%kvp3G3EfP>{}m*XYKjuo0twN90wUTI~?>OZ`MsM9IukLtQ4KT@)crqjA3 z$JL!m1#<2#&qbZ&IZ!8=p-wVGo$RKj(su*z!_$deW7O$ggJk+TF%zaA=kuaYr}HJK z`oN;(YM7=|@UjAWy4Qu6n`=5P9^y>heVj-cKTW4md$ZN)la)^V5m~@QH`2{n(@ADJ zQU0%m`v+u<C`sDbXgY2Fk*Xh>uMDaDs5Lu$qli21Qb>vZ;7NL&CXAV~U>3plUP}uY zw9b>Tf1%0ZP^X_B8}x0yc#`K2c`oWCkB2(R40UQa<&1uWb6FC!r3K4Hoz`z`rgu2# zPC9?!XCUen+E|~Sw_^!Xt&gUYyk68vW~kFGhZ(BNBQMfzsHPJ=)mnX5pb9xiHJv`R zX>BHPdNS)aFCliPz|O_=&F)tvBdMm7JO}C|Gt^0DsFTyC+0-|0ZsK@{&x<-mb}-O< zDR!i8Lro{cXD8+67B{kKgr?J{q3@O32a1ry*_uxM#=EON+uX>cGMY}Y=4^HPoP|#1 zPOnw}wwuTf3omy3@HM6r<sbLbPw(nJTkWJD&f-9@(T9sE;~q3pM->$x9}8BvZHVHt zCXcGV=eOskESN>GZ!1%j#g2JYzhgWOb^5h_zT&Vvm%8d6XQ-1r9_l1B)ahLxA0=;R zUv=C){;?+N)bqy)efZd+YNv|)Wka2I>|PP@By+x6Z`nx3usg}?)pXKc1JtSFzP<Xb zGgHm$N{nZ@RCKYps#Enhw{8yTQE?n&*qxr&d2{f}#m&l+ew?9BEsyOqM?}X4%xJ)K zbFn|2PM%lONt;*GNn@zf!Cl4R-jw_1xxYuVu~4V{n?5SEre3XabrfURow^_Fq)r`` zq%JtjSu-(j|AhOhdCxfYMlXIW{8ZEFcFZC5pLniPhX;rJduO-zNVYnCvC_%zWgcpD zUZ>V>ujwQ+9q{RTJiDic51*xOp0DY&_rN-JU2URP7rU$(MO=feqtu-RY}6y~`NIQK z7R(};=b)16(`#i_dYQ+8D9xf~&D0tL9My`?I5P+)kB2(R%qZeMRa&ANy{oJ9R`XBn zQKyw1533hm4pM(_)O7O6`C5H5YrgvXx~7x7UXvJ4W~fs^hhyrqOeZzAwx-kMo>$e* z8#4~BZ=~t;dVCJ*P-m0kKSI-~?I0&w=&*;r@qg$f&w)D040Vzj>eMl&r_$K<xaz-b z3|lYi)UaL${k2J#)k+<?VyII)V>LQDeT@2Kzoyf$X#;3-?%n2@zxnZXWPduHPnl2Z z%QD;5LjyIPZk)<ir>|Bz#jc2=$N#?4JEnxNVX-^OOef0!bHfz+ex|=-_aEIUZdD(8 z=YF^nV9~nMyw*+Wh=OaBUW51-Sxh2VW){H;D0OKEpJ~e8q2dcKqJ#@e5^6InUimPb zGt^1WMV(}ZIyJ4;jmGbYQNCW)bgH}~m~N*ArPF*(r;cT3(1km^l$7C`PV#zDCz+v6 zCA~xGz?Q=lOB^o)6~}xg)JVfd?N>I0k7W$IQzJT?dev<VT^e$R-ATv30CKmd4P1)k zx!9fLIZ!8=p-wVGoy?v;)Yu0*)P#$gPK)c8qla=XP`9?zbn<myL~qQCR=of6^<sBA zb6^#1v_}VrKJep1oic-G(e&q2^`|yX_}86u7qivro0U#iZ^qMN6MiTaoHU(erW57A zY8Od6*KmMUd-;bkAQ;$;qu;NWhS|e3om>|7plu^+!r$M#!<a;z%q)VH>d}d=cv=!Z zIB|7AlqTwUS33Vgd6-auGlO7qF6tyRqloK0FPL6v;sxjXYdQtn&!FY)T;Y_Hrc=wF zbLim-wlL$-2sTHO$d%V?%7URzV~ftCt~M^v`V%h$6>)1l=hN>!>%y<oysW6xk*0C< z{M!X^A%HW~=}par)NJVsdtdWh)JdKfb&?tCBs0|MXpSay#HNGhuhTT0=Kk(a?d#<V zIQ~+**!g)arZyM6;O1aWr|IRFQRQ=A$mq$B1$A<t5>LMlyrblC(RA{-o~=&bt#qn; zFoo8>*$PG{PGCc0caoV-l;7`l5<T;w7gX(}>GbnrH0?o0!(R_gr%Z>bw0+YVFzuA4 zlgun)ynT~GX-z{A6nV?zK$IrZaVp(@Bm{2V<IEtKoQpci%qZeM#?PiooeALSq3M+W z*#f%CG8j4?7{JDh6>-r4OKDn_Zt!4|rjxv0lZcZU>QranYP$PIUoec*bZWVEH633r z9P0Y<vZ79Hf>zV6`hC!15bqMGQ;qto>5cKp&@4#PNuC3Bk{RkGGt_CYdn8?^ZqScx z%jd<5U3*JBRd*Yd*K0MM@?2O$H#km)1~2$}u{*sEF;O4;rBL<?&qbY{?_5i}t*r+) zlE?q+PH;C{oqky9H0$vaI@N0nnD_Jh0n|xmI#K>!MPlih4QX(3IR7vP1gnxGjIN$V zp>QSsg<qp!8^eR><Hsk!_GCN8Oj$6CU^`lkrz<WTgo-+@4(c>>)hIgl)M4oTnCGHS z@_49|%uuKMF;l5OJp`4!wOeufLQ(YBk^@lf41Y6?IvpPvPg}KM{}_8=Fk?wV9eKT| zlgv=3K}@GV#r8q5P+kTqa<?U{q%F#y1|K)B4(b$>X9>MkR!4^2<Q)NZdg_u$b8oP~ zcO%cm?j+BFI>`)mk{RmMs%9z;Iade<CGdGsCv*QT^i{eZy4>RP`m#TruJQeNdMNK< z7;mfT)UxIbIzR9()Gns!6jyo`_5ZjAG7pUVr_+!}+3NJuN~d*S;;BC1A#8Hdbds4) zl;5RdBsK1R2`yCqVGIbiqW(Dgd(I~qI+{N`FbZaKp$FTy;1}5D)^w7YMZ|q76HHGw z`v`ek@Hh~qnXq;MjV|yF>Uwf!5KPWRon&SdafeR^)A5JDz@cIM+XIn;J*hZ@+N^yC z@vfRqBPOx$ME7_O^<NHWaj28LUX#d`8R`^LZxwyN>kafh!b?a++|T*TsVVU<*frrD z0d>j|98Uw^xsftyyo9LJxuY>OpI3g8_X^KNo#Z)CCz+v6GDDqCjyp_CP8kgk^YHOd zr{x_ewSONA7DdzPXt$ZP(5BDOV*o#Wusd}w(Vh-0nTKS=@m%aq_JPaTMvb??*HzOg z@<p~f{j$=jnd=}rcA70|X&lFf#_l9DohX0*d2MK~RC^NsYY2-2!SZabNjJ`LCS^nU z1;!}Y;<?3Wlchz;mB)dMnX+IO!EQVH(3xYMNwpenSsaMcggp16#}5}K`SWmQ5KJBq zb&{D;#NBFHnd*`Y5$9q2^EuS1?pmOITph{u`u!Ng?)1vD6MOP*N8)@mo#geJ#CS48 zoy@am(+WAAh;2blr;gpiXpS&9@^}I-A?j3m^+4LlvnDCNikA>|n%SZQHSA-1LHKAo z$#bAiGDDqYhB~bdJ4#df?}XLBHAbB}Zr@Ko_c#qXLb=A+odQ1Ar?;Owl0)bCdQqoS zm0zg299>DB08OV>+o#b(5qZdX_LidIkiH{yIy>F^ciHOn+e)YRQHAKLJualKcy59^ z$xJ884`sfoi_RA(IY((a9ezkv<6IBYW*fi27)9LNz6;cz@#RR_M{O80Wx*_hZO?OB zwY8KcZ>w_cP^TXawy3Sfl_d{tI76M}@lYq3p-#tI?o!*XC{13?@4|9Xr*5<FsC}xJ zA`N2sV?ES~m~zn2)M7-R#_s`>ggWwiQ74(9PBV)%qFtAjCXJW#5>k<y>yjT`GP?qK z|Am(jb@Crwh`#Iuq|skqLe$A~@GsT<dsPy2gXdy*lIK93WQID)40VdSvWs>e^$`9h zaE(!?Nq<(;19!i|w0m4*)T!#C<7z~|66AHLrc<^4E6pBG?xaR_O{c3Hs?qNsix65v z)9J$JY<2o$r4xUY_W5!tlJ_saMMRxsrW55)edVVQIa!AEd^MQGfnXs=iYcx7c$3(} z`~qVXtV{b4#i?N>@@QFW#!Oi-i(tm<pY$7kRV2CY^EeQtnOw|Y`PQitxwnfmgJAM_ zsFTc$B5rg)A0^+A@?_N<{`nm0RQcBleTAZ)Wb}0dW2n=>y(<E~Y$;7<w9s^t*K5Lg zrPl>@%5ioEd&X9o<ZZ9%R6DM<nwjQ9uB_5@np{mWkDk|*IIYoiy5F#(zI&K2$(gF@ zB+rXF$qaRp8R}HL(JVS+dwx>x7@rq)>e;L}eOJSow5qD<)M|~J5>?WjZ0N4()WrUk z;?4Gvm^W6_Y074A^{ulzIqsn8^!{hII{mfMsr|Ghu-;c(W;#*+gs<^1K_3mn*VJK$ z4}#6^H4m<zje~{TD==mhtaQ652r0c7T7E9Um?;Zp5$w+UaIm<pfo0El9O^W)=PYO& zvI6{{bA~#}<DpJ6L!J8A&4uRbLNEq;v0T(?tnUK&Gix3!_pZSh>huQ^ps#NvMEKWd z47-!OUerlusMAWf`SA107N~iFe+Wc{c4s>;fRh>9p~Ng;47<~=*hCoIXCK68DvV)w za{Ig(?tV>yer+2thTTb?19g%a>LfGN$tB(iy7xE_UXAr^Jk%*q6@SR@cm#4)3}6hq zQ-a50*mS)QO#IDRGxn#`MXy*7(>s@j`Ql^xj)H~VOn@(MVjy{gwy(Hrj@{Y)>VYm7 zAFw$8Kk>hS)O4`kS6pT~;DNQ@?tsw`OOn9lyj&pI_-gCmh+7%5Y`P0$M#0YASPK32 zdXhS8^D}13f>{L9?TCVic9qGdlROSYX^#JmgJN&WlT#ZxGYBS+hdRm3DB`w-q(G;F zWr=r@!YmhcTI#kLiv4jX7F&15P^Yb%c0-egB}hemMaEDkdA%kvp3G3Ep(mHX+TYd5 zmegu2mx{QmgI2@hFV#sv?y8KTPJ=$}gBMS#k@#R<X4I)gljBhLa|M#SV|B(*CwUIk zNoJ^%%uuIz-%II@*7}jo)vB=ZP^Z50rYP4|_>t-TDlvvSP1Rq8w+Z&7P)QzxI%Pb| zMTUKT4fT80WDIrc^Yk#ZpHY-F>*o9K-l<N$Y<04+(#fgr0kGazTxL2^{_}6PK^=n~ z$=l779RdheIVuI-COML)0Yw=z3RZq?GUW9yOu7uQWz3WXvk12MbtIfUU5wa<@i-8r zasC|(#z8Km=TOcJg305dPBJr!xId{Y;r=`)((j5h%SD~O9Nh?!p$>!`E6Et@<Z@*v zobOYBcz-L;80sXi*CfW18S0cLbUC~n?@q>!;_6Tl_r+xmY;NyPV(;*Bp-!VV?1fkP zOOZ37ysW5G!#YP`V~8s$SBR^KI>~dOPBKHCWQIDyrhH1jiseb`MtolWr_){a+pD-9 z@+Phh{8T}m8Vx)T%@e=Dxa*vuPATtyLmt;Na3~+|+NhIz^JB2Ad2Vw1cFlh}b#=&A zryN!~b-ervtoId{nNF1dMXd)=x>8v}(#o<!0AyXRz@VnyB%obk#*Bg;_;LcqoUcgq z0eKlSWx*_hIUU^vdyD#zirsk}h|=U+YKB8stCC0cIWq_*kB2(R%qZd-_P7XdYL_QP zuRF3_)ak*MTTs#8lMMV*oH5kto$q5vtWkzk9PG^)>Ljn%B*v2&>U7EWB&>DtCq-ZK z@=+1@*yAF^Rj)(d1aNgwr;hKQL&rE@(qt9C2|%5ySiZpFDpkpgb-bIPPVyY6lgv;j znW0WL6&EP`Dm5d+-f~S)r{0;l;9l#dWPC4vs-R9^({qryj|!5D6Zx^APBSKzB#&!6 zhy8!K+NjfoPG4a`!xAL<rq4f}jD@q+DW{cAW4A<r^}gaV(~0tTXfYP*jV?ik-7Uio z0R&6P-3{KI@*vM#G@WKtZve*G<p{)ZB}^htW){KvRww~JB`OftbRGwyG<hPb!ub7O z<Wdr62EpW9)JbMW5oi3<9)eGlCYc$UPHlV#LGI<Hh+({@Q>Q7Dz<FqK(qag|XroT@ zdQD<HnW0V-Ml^$$cPf!(d$~GP#3k0~0`~nXlW~Q4Sy87C7iK_}FO|vV3B0VR(=MO+ zP$jtnS<;M`9(9uEK%HcUI>`)mD%E3?+OfAcxu4AEK%I^jD5O?CT%I_c_GS!q3LLi# zPA@1(;%#|cGxn#`1$Ms*k^O!`_3vD5)XDWwG8lgqAvb)reZ@`1vehY<l}-^J>%n>> zXqo9m`R|&R!plv1QZB}W9RdjE@n9afeQZG5EO27XD44A!3`Q<%LSEnCFPSL|W)Unr zyc2XD(u&+DlAFbWC`~{6VCXZvIWaxwxdy@H@lYq38AV*7J#*mC%Z6lVH3yc9-6`c{ z0`xx*q=l^;W7wS@-ChAlHUyCOWqDapCwaXlF`mp&CvQ3xE`ACmwMOwXor*Z0o{@0q zRUmn|j+YR1+IutwdM#-~V%G5+1Judy=x(U=w*~nj_V?!N)9K_nP$!w8PBP=it<yau zd(~U3Ta)i)`DuYVwHWWIT51Q96GlES>f|&0BpBOPBRj;V)Tq;<EqO>TlPfWl;d!W2 z-qI9u#nvIUT{WFfcx0<nZY!Ox9ZLr5ZR%yF1Ah3v3G?Ax!OG;wFTNZQ%&lKI`1Pz# z&J@<}o$SYqhTQhPWW_Lk|6>wyGP4Nw(6uR4=<QDyEa!0`N@LpI1IWtSBqW40gJ5zl z>LfFxh<h7ngr%Kpkn3sMz0<bvDEM2eDp?n<-8(HF!+xbIe<iYcK0jMgCwaXlF`mp& zCpV8E$a}gz$@74p)l|f7J2?f8)d(O?;+GImr=yn^for<}5@z5X3w6rBcMZgyuR|il zhTEu<JO}C|Gt^0DsMBMo&FZ6&y2NjfcCp*G^16A}&U)nTbFMq;bgV@hbUaa#jB3K; zP^U9(+0Qw)u_bML^S1@4Q=>8Kpsb50dDyqczl+^-uWWV7W2KX0-WOoKuei)~qWo%y zyRf3B4JoITW`_WRJ@Yva3GH%|0uQwA)c?>Sm~kf`nRbQ0WF`?OGmBs@O?JXa7bg-b zHXj60nnAnwL&g<5qMYTq2EpW9)JbMW5tsV*G+ZNj$i5+3ck*p_4PKL+WO}sLopP8g zu%wQTta{7Kf;!3THHq<LhB_T<d=ADIa3Pat@zPKc7d7k(q<$$v+Wp~rqE0@+Pa*M* z6Y)6DI~MBn;NyE}p|>Ml{P~5FuTQ6w=RloghC0cNAGc1IS<nGqdQ>C>y|_BqogStH zK#iH@Nsg0Rclzt`1Ilc@1NJujSWu^lpV^cB5$nM@Si9Jr{qhqU?fDGzK5M^vkgrO% zI_0&}sldQ#V7;%n%yhsH|Cz@CINjTWybKo4i3IzsYYc}EmLqR>+p|M83YOooBD|bl zo*b=X!<Z=xW)W<BtsLNUw=zi&=5ZiOGiG2BC=pkYd}zv<K`?nd)JbMW5odZ30GrZ1 z$%6j*SuS4eaxCcx1?QC^)$NKfh8Mfmp+TT_awqOz_`?I#NnWo>j3+bHY46CokXpPN z83MdqRK%6q+Z^IsS0kxO{4EOV^efLqIM2SwJNg4Z^-!n6MWUhdlq%%cIi8C;$#bAi zGDDqYhC21VpQhR*lqV^+W!QMAQ}OuG>aUQBWWhi_FLtN4^^)OjdLdFPmNV3;Po=A{ z-6aP(9?BKN?o=jj4Ll^p$^N(A|GHCkpKNu?XQflCX_;WXuei)~qWmo%Jcf$4?7Q8w z`7<UE>`j-;K-pHSRXq4hVHE7}5BB_GOJ(Bc@rAwIrYx96umfkeK&4u>$m8BT4n%1N zI_`tW6V=J}(wrFtlgC4yWM&j`EnA(3IfW~dd24y8P^XLvcOa&yHyMAnAY-W0^54&4 zs$)5l=Fe}>Q73u5CNZAOP^SY9=ON-;T@q#XV7XMpg&VHJ7<+%x&WY=ZIyG{74=I%G z$vKH%WKpMXyZ*q=Mb*f$>Ab9{lRO9NBs0`WW~ftq&Wp<T;Vnp)=cU+qs8jm19N_Z0 zIoVN_pYo{Fm|uCwxpGd#w>>`=)G5rZ9BI7eIaGeZPXW~FN9%$lWt9gxd!YP3o!a_m ztCOvjPU#~~f%U%PGSi9jN0dGQIk(gz?>zaL4uai!upZ_;^e3zT=4Q+&Sjpc>aBxNd z=@j^pz1*fOm_@KjLubH%S&c}J-8>FNX;$5gf#`c|Px1kr83dEZL!D%16mdb@QlQ9< zy5!cv9PC(7r?~}oz|G@+WNZxYo~TpNU=^ls^(F2nT^U22<n@}wcrrtsZs%VGtyeW8 zrz-OjQV}<=Rw`WT-ju|S;3Y(zPV71c&wDl?Pm+r<hB}R@eH|L+BBb5}o{KukbD&N# zL!D%XI!#I39x!ozYZ5w#pBAW7z2ArQMb@<;lYa4wJL;s)eF5Lgmm}?W@MA%p7IiO5 zZj8=PDi`N!qfXbm{DFtJY7q5Yxqmv1QnJ-4zm-lmPJaOFeZ^&_6XkEw=OGvdI1*!= zrc<XU=b1W%iLQDcc34IcHzZwUTVuMC&&@TRWM&a@l?HBx!7(1>=4ef)cD`xQzf=j* zxuK?$oQpci40Rf|`ZVMoQ-mzrqv>Q<?It9QaV8gUX*#vr{S*cV6(kOg_)CsD$?HX( zWQIE3t$7L7mh>XAS2dlEbiN6ve994`=Vw3a^kUXqXg8nT{yyiWMxC6C|AaZ8iV=@k z-o;QSc@ES`W~h_QP^Y<xg<wgkI^=L~J}>IjCA1tAtma3WmgnlAPSs*^k`Xh$!`Ght zSWu_AHA<3Y&oaRLNYklKJ13HJgdK^T<MmIcq{i9mRKQB7geBX-dS7vw=|uSx+OCA? zR%OY|wfvnE2-fZET-X=uO^&Y5$(T{FhrK3)8c>Ohdhv#xy{0UfMX)NZ+Cs{J8e~G_ zw=53Cnf@$t064MVGRgIa=Nbf)$3vZDhB`HmjDjao<;mctI(97Boz|o#LYWbs#G`Zp z#;`l>ey|3{v?xOW_`6ZmNnS7NBs0|MrD-mF+wDvCtm37i;`sV*P5_AWA><p^6LqTc zYcrfGS&gjh#ycSDWV0t7`Z3m|Deq#alRO9NBs0`WW~kHeJZiw?s(xgI1D_XlS{2w@ zpV+Goc{q*Vkf2UwJDh>)BMXr#j{I0qr#FGQ$@qESVO?{6T3~nbuKyM`74{%soJ#-G zX>ZGHb+WV4sp*6lV7;%n%ygpsU~>%;b5$d`R`F$nU?I26aJ-@qX}yVe6Qf{{4{U_D zYHd>c1b=BwSul%Wiv#0f`8_?EQtBp)15ui{i<d*Y#dS&aRi0}QOdbz)l9^G&EsEX; zp(TCEnd7h6f1^$dC!T`mMQe~_pSWVEQ}+qCp<e!~q-h{8Rg%b+*K5jx?G<c(^9&f- zyCL~}jK7nmf>|1!g0#y(raAJ*r~J5ey1Xr(Kv<DF#KFMdWui_yl0L)rA^xQ8EPgto zPV&5{lgv;jnW0XPbC{Ka+uM*12l;&=>Qr{|G9|D@AeqvKcVpBkIx;7@8&;gW?#7P= zby^(kNpijX4GrHGW(;-m@hwG8@2NuebS?HzCri6*b+Z4jPXE>E|5GPj*KBoiu+nMr z@fl#f5wy&7qMNjz6$#S<&nclVdN89wu-!#tVd2X6itF!Ij2Q(pH(3PvUgUvFe!!S1 z3uY0ln^!Va@hS#xc03NmSv_%SBK%Bs1X7AKgJAM_*qvl%6mh8;3t(oyZ_2~u<}4Sx z)2i+<kQsJgc{iG$f!Lh}q|Sn-&c~F46Z<fR-AP`rNsK2m>`sMy%>w=BnsC3&K$c5I z+-N!z+=n%Qb2$evhTW;c^)Mi_M#0W|{TajV)UKHkiWDycrRVWn>`w9=*qvmC-AQKH zotm$i#=eme4i}pDW#eIYnim=lVF~>qy}5xg>`qtHM!=(6LCTBDJPx~4>H8hvP@`ad zr_@1=VRy<?Cmg<AzoLA-ru{2mkKWnpRM1MNW64Ia-lkq=I#K?veluZbx3fy837yy> zfMEApN5hGXcgp+NCX5*ci|9WOe$UDSzb^YTX3BzD1k3R<79PxTgY6r69Ej4mhRuhm zMI51GI%fvK<nd4^nHfb~+|W5NJ?g7+y;?(-i#k0$I~#5;x~H7CX~P)mRPj?d)GBsV znUbp;W2lq7UXvJ4W~kGt<q=TiV|7@txi`zDB5t`|1h|~ngV+3CjG<1y`_F)jrG`MG z5uBk;PpVFXG`G@F)Rk+DI>~dOPBKHCWQIEJq~qX5PWCT`?(lEIqE5f(OoI;f3^4a5 zUmNPwkPe5o1&1jc(|8=}G&G?z%&0I(-?J9i4t46>C=7ZHxvcCrXxr2`8<4F|j#fHt zh?)V``-;m<C(1wkPXv@GpC85@XvYo#1j~OQ5{C3H4x_I(V9Y3(=f*j3KVL;?Te3D| zrYx96uuHpRps!m1{P|vs#epcz_PjB$d7%%y%*%5Pg305dPBJr!xY6uZym3Q!$ef_C zT-0g%vsp0yxHI%>+JZ6E>7{)Htk0JR5}WhW0(FwtYZBwh40Sqa7Y_5bbbw#4d1<JK zJCi#cj;u65#8F;C)Ty>p7&Mz44qjptMbydeh7ooZYXt4P^X`s1$#bAiGDDqYhC1!K z-xKCmo(~VI^Di@_PL0<DfqReXu*thKW2lp^-&pvvX1~(@CugWr^YMe=S(Ez8?y#PW zp-wFthQX2Q_HciVwy*e*VcF{BWTjJ3+;X;cmb|aH%ygpsfA24X8-oVJmKOX=4Io&) zxVaD<J`sF7c`#-a>}=1Oa40bxY?l^d%#;PQ;CT6GK%>9&U}Yqa15uih_rk!rU=)0h z;mjbIJRa&KGoy(6$-0yG;82Lk<nNqNC(<AeE`J^gUBoBss8dRTWEjw?Km591lf|J< z@_J2TJei?RL;oy-;^UHFo3Redr6O+V<|H_GE*UB{^kWQl>e_c1T+lCrEw}k;fjSlV zy#n4IoC}$Mc`oWC&w)D040Vzj>J+@L0*sq!hNaiJHmK9PrGe1=*mfX?eHcTX1}|O) zZv$$;`;Gj+QK#hJ8)4e$N6OI&bs0mQzQ!(t9L8X1+gaOJJa$yJIyqbE)G}~3Snn$? zGo2`Z<7e|An*B({_(0z1L9j-n6QOQ|GlX>wWXveo%Q4F#!>%+8h-|=^DGO#1tYw%9 zemm5Hp?!E9h|)Y5v;w^KmEh_~&J2Rd<DpJ6Gm5yn9g|_Tp(yP5*plU<POkp((B-!+ zoWI1+Ow_6Dg&3G^`k~~0!0#ncCwaXlF`mp&r)N{5!E9**uc8LCTq@%BD$!6VtvBrK zKZr5ZY0bb$*!_4G%&)*1>Xc{LEQl*nA0~h2xu}yo2kIm<)JbNj)9s)s@Z<0T2;9!^ z&rqi?hH&WA*$BC|_hSroYJ5KwYE56K>|e~|P^aCy2f*_F&dSYlLm5MzF5jOGrwzHm zxv{p@>b42l>Qu-|C;qi|>y4mgrW57=@4n(X-T$?H#V>?rt5e}DbXqb!2Oa7k%uLn( zC5y&Tr%dDYfS8s~)H>z)Sq(z56B~Bw*$*|TV{AL{T)~=eb5-{GuT*coZ^D=<3uY1Q z;omXJ$xM@4@DPs!ai)j*H&U)IHK_;ga%K=r9uK>d%#0%LLeZ=G2i5ng<FD{eiQOsf zc?W&rTbI<2F8p2xyHnik8wZ@qyj5S#9KaZMCw}^9>otk-WQN`8*!8RW>&s%)wsyl< zE){V}P2%*Aw)v~Ay!n}q-KkbR8}o?bm-P?laE9HfR?VYkw?0+X@l|;)b|-lb>`pSn z?j$qpPNVL7Lm1m?{?eU6Y&`5v;gAa|cG#<K-^1TMVs|QZV3<0Neo@D5;tadf!i}%g z3iYn3xf<|e!R~aVT~xrDx;kp=H2mLlr*C1|>Qux^r;{G3igkCAnNF0yz4@ea<xjG@ z>pOpE0)jdGe6845AFk3^etT{d>_h9^kmy-W9qQkhF;f=IB3PC4u5ixctRBnF<3N-q zGR*;k8+xc$N^@oqOdbz)l9^G&IX?cRwEfmYwQI@W#i341$K6(P>LOL&BV8Footi_2 z(rWoC)qf~&{-~3@UXvJ4W~kGfW^a_DBi5PqIk_fO#PzLnUpW_dbx)4MLl{Gye!1*W z45z0lX9jVGI&HqWQ2BJJjQQ|?Y*R1KfjY?yb&?tC<UXkn<n=S^)#+Rl)M<0BrZD6{ z8*{G_{8T}mP6k&}QfeGgpB?55b;=jg%KUutY4yk&?P8a{{+QC~>3a3TaBZ7<*QjiD zDr%+E%-kVhy-mH$bfWx0uHjJfeLm&sL+##4Svv<-9crz({L${6_HB!U9AzSu5djU^ z;hRLR%q)WK@=b!FMK>rX^YJ(krSa&R0A-&qQk+V2W)MuyMV(}36mj|H%!S0(y_CL7 zTd`c!scFz`Xfd*q(rF}r_k%hOv6%tYFTB^gjOxc2>Ljn%B*v2&>a-*|0*<@fRu-1w znotq9Dl-g1@BCCI7vc9rsFU02Nl=n)s=S~qXQ<PnyQ5%txpbxLES{T-{pob_9H^7b zP$!w8PPHn>Lbo~1png@Z3F<`Xe0aRQGz8b?rwZycv}HGV+4}3jv+kNshkjOrEz|tf zZjqW!dv8sJTjL8UKTc@(PIcyItCNeBPV#LYUhHJ16XpN!tvLJ6*Z;9waYI73I=Ncu zwDC+bSZ`A=Gt{a1kd@FdFcAE%@ketY6l?Z+19;arz|}+i0%H`+)v^t`uNVPSZxO~! zSul%W>x*oIqw!%-d>@Ykai+VB*aj2aCc~w}oEZd@$HVR<Goy&>eI^xFI}CtDowav% zQ`r}4-A{Lc4&t}#useNfy8@=`Tf*WI{2mayle}J&7*A%{otii$flZ%S=v|n19V+6w z<VuFC=M!P}O@7hA?sPF_G4$HF8QKow?0>q`mc=l#LIiYPz;m%X$#Y<Lk{Na<nPGRj zFgpldS4f8dg?A$CP95^jfR2MxVVBsG0lSmyp#%sSUIMDr<#El}pHAo2Di#{$I;M1c z%{wLDJ6+9@1bL=(f{stLZR(9nven7WN~coGV!?WwdYS1&`RfHF!Kdq~aL+~4Y3^wg zDBX5JytAg0@yt4KSjaZPsjcZGGm99nb?H^`!SNW>ucYbZ^*#mif2R;%Ueig=MV(}Z zIvv@v3Njm|!ORW(ktJU2-Yi%O9g1%QyM_FbCF-P<TLd}IZh*I&42+>p@_JDxnW0Ya zmdt{0moI_6AHV%Yo!(B5g0(Ad!N?o@VuCuw<Yilh75M;bzw#2IPW{#_gl47_aB&~c zMV;h1P$!w8PBKHCiVU{{TJ$Y+JH#*AsMDFl)!}NsM{srxKUGktqCFBI@k<=kAI9TQ zr=<4Fpi|Ld(9v7dsnzLdF#2tQQ1)wB|F*nXnXOL6taMt)e#$Ur;Wc<tgkMMTVka}5 zDF3kr^TGV#E);LUpQM6dxoINopZXNGwQtRH1>2Oi9Cl~C0iQ5n%#;PQ2$nK70op`- zg~pLQ4#b&W%y}`~x%d$lP2tQSm^>cpBr~IkD`QHA`$5m)%<JYX7j=Sp@eoq?A=Ev~ z&p^~^W7WCP`tfaeew)9gK%M0En#6cAL!H*w9|_gB*pRtxdDo#LZup%L__;SX*>;_) zgE~c=nGJXSoJhg7yo9JzhQmBKXY&)*UgNo_lRO9NBs0`WW~kG|ku#OY`|^>c-h2+! z>FnnRO2^^3$?h)(#!#oKZ{y%q`cdc{!xclFK4hkVq5V1tX~R1ucBhO7Q(@b>`%s~t z_Nxac)@7?xaVwpglxYao+tkZUC(7U4zdh{wkeAFjqJ0GH(Y-%3X=6wB<<)d58#5Y0 zb2^f;Lp7abW)b7fD$o^9PcB4a#J}waQJTs}2SBa6P9%c;jPC#HB<G?|GDDq$Dh!5@ z7WSn0R!yfPce_L1()me_ftpTh9oj(hlRTtjGfgLXy{MDSP^U3%T;Op5SMn`!06RX^ z$r4uv>TN7RD&*F5YPz`rc<!x0a)$B}qE7FocZB@)T}WnOO(%H{)JbNjlgv=3(BLj= zrHfAF$9Fyl>NIrZ%k(SloJs37nodXG4uV48e!`v8oS{zc`(vS2^h1E5yi=l16|Pi* zu&BJ`V5s&H@bk^t>Qur?Cz>}yvEHU$W;#*+a*OUO;iHR^Tw*Izzz);h1}eWQMvnK_ zbQ<gC2(J4|kuJFjJ5-a1lbJ=Z=Hs6zlLvT^8segeIytkgNXzbYCl?FxT!T<d&PAPM zW)yM0Epx-iH^oW)657SCyYfLfw$+skSfc6Fwd8eWOz$G(SQAYrdA%kvp3G1u`(%Hm zde^dK(ilyrMlQpZeY?t&(-(M`!0z-lNL4yM@*^D_G@aHpeW8R=FS6_&&&|dDn2^$I zk2=W=b&?tCG<mc)9Z;<xdEH0rP8qkKsW!a}5wGW(PGu(Afik2Z`xdRHQy;(1uy<=7 zayXN#jXG_7F-K`RsxZmfSkuXISGGEpw9<(`B0Kf%tJ<U3Xg0L=7*k_9QU32kE(MsI z-cZ}+<A(r(J?vxAkDRqr9rToch+!0LKqG(URO^Lm%agpUrYx96FmE+VQGds)5sP^o z>h$630L3*XUj4S4Gt@~Q4|S3m>XfuRr_#G_s@iuOf24{RyY;Ej`f<08s)xSt`#rqa zRT{Uq{??KY)ZyZpP?AtbehpA3nW0XD+F#Wl9TuwEz7A&NQIXr}P@Mke1y@y<n={lY zq5AiOxkHO8U;1)}-KqDnL*~KvoYf-^BN#)S<T+3$nW0WHL!F-4SAdMVM%A1?jE#rg z$+Jvu2;8z!wMpVPF23xK9npj#YR0S=YK^&^VR!nl<Be*`aZ=q_h93*+l(c+kfKSg% zb$snn|L&ct@6T4JQd#JvZGo=oq%oZ+|9`is*XjPRZByTsW~-CCl}`Qp-czi%sh1h* zWH&kw^fyGRL2rVX(I6CCqm+hi8=9*n2lKPvDA=pZeo&^Ty;}Z5TgFUTFpFTjbgf|Q zxl3lJeLN1tnSS6Pfryux=7?*Y83dEZ!|o(AqlnAV#2bFE^jA-~@efq6JAHdz2vXdF z)#4imFoxYJ|Bt`Q!gsOivwkBP!|o)n*CfW18FnXky%Ss*c=e!P&hadlinue~^TVS8 zGxbXx$1#T8=}_ZmN{@S6ltW!O!|s&t(FtXG|263~8uDE1PVyYson(gHNoLrcCXSj0 zgU(h_e0uY%3U;Tk#RFk$D=&R~=TVGdcdA??N@?M^SKV@kGwe=YEfxnH`F&iSZ|28> z-RW2LuS)wp>}oMy+opcvv21nnu+r)B%qd{KO})%?qWoJsM1gI^8VY^Ln=1%bC2SEq z-Y{M{^Pb<H8wI;Dc_plUkf^kF=TFK_Sul%Wf7-5t1FH`zJD>B13?NFgqE8A`8J?;P z`H#&E<?&D_nW0X*#w0`9+%Uy`4*x&}bqfAAAC5$HP^O9xR8S{}(z9UGMh_+L7~ben zCwaZ7lgv=3o?U0dvooKR@8!5AsMBHgZOryZ?LjF#mNC?+DNKjLj?F+R#2M;z;OcmY zsCr2`70q)|CwUIkNoJ^%%uuJ{hZez)RbAnr7uN)J>NGh4LLIBa<C^?bL7n#0?G1yI z3k1~l)O3n_Qw82d6;d<jX*!LXVuU9_0m{sC+P>mRXR_6)w3SX3e$NK$ZR%yF6Xm}* zCmt@mF91Eo$A%zSn;j-t@vQ{x2Ti9|D^g+DuuAZ-FW1B*;$&tK>?Qlx9^H}^F!*UY z^*y%<0w2@@yJnmjgko|o>LfGNsj6u;%sKA?Vb}QwDyUPJDvM#@l)|87^kWQlYScXz z&R@$5!B_cx4eBJX7j=>u>hx*V9N2WS2i%>?H9?&=kDmkWwvK?;9mX(*I{k@>g0JJ_ z;g>CEsMC|qvmt(OQ@Hk)=b}#X9H^7bP$!w8PF}ae;E+=?6kWm9L7jRnnhk5e&4Mc{ z`Kf|BwWZVGz0E=8K`f8M?)3FeAL#xoK(Q^R>14P$8wQtlgg*5&o#>@(bt+?}(_Bju zSZ`A=Go2{^?VuD$9o_@_?BKU_AlQ$H?GWE;I9yr8FEB>IHuX-2VM`~&r<JW4GiAXn zg6+P10MzJ6ST~)=fl$Z8BOMyKv+wLgb7l}s9uIYrnNh@zAF&HUij9H{Z%wDyc~gNr z>JLrJX*y-rV^8;cc7cs8HJ#-3n#6cAL!D;MN`x*$65;wgt_c-!FgFPjhMB;!jbC(7 zr*G93LxE5Gp=D*xP^WqY7DLy|(XcL9(@CBKb&?tCBs0{haJ4b8z5HSL<ErVDV+i{O z=-2Jg%T?29Y3&5K=2ZbIyJ$MiNQr@V=Pk<MW4u##WPdu{%`S^z^zyzi^N_Ypz2!!> zI+eB3>1N(ou->L#W;#*+Y6(lgchYX?{9p*19t2C+y&g=N2ciFE{>4_KU>lOzRu<)s zg2T&JjG3}v7QsSZZH9r%&qMY5JPt%@UY_3u-lkJ<=Qd{s!Q}B!Cz%;V+~k$1@bQic z0|)bWnb@85zN<jpw+{+-=Wp1tJ9QY41W_Z{F@_9hEJ@_b>osM;P^ax*W<td=cj40? zt_c-!9=1`CdFCl}TFfsdsMCZ;u@LrAN7k<5B}ARxhAo6T*DpcsaIPYDCwX4fNoIB| zmX%tn5$aUCZ$T(u`5RoG!_}!Q;<l#Ngn3V1gMJi0Rj@lfU7P?XFE51)zB~@QlUunZ z;A1xp_Pyt7qfRd%3Zm}sfu0YweZ_V6v(>4bl}=yWBEfo_dYS1&`Kzvvhnz_-U|%y$ zryS=@aIyGD_}WC%DP(^tEbaImeh=nKm{1*wSp@suZWWx2vmuj5@Hh~q(YdaJ{SklQ zrhzkqVDfmVlgx}F?!tl9&^YfWNWa^O<)Th~nlFZici+JL;|9i1r~MORq4b<*@ZmOp zOMyDc>otk-WQIC595E7#JLV%dT5CE5M@<BWM|R}#S*{N1)MsTR6xdmeGz{Y<M4cA? zo(CHi=OkX&crNNB&w)D0%#OwCbTUJo)^v+jPCjuU!@V?}j$C-6?3r4CO!zXK<)Kb= z;6m`5dJ%%=a>Y=mQA!FVzu5u(+iE(!of-<o2E2lV`kGGVpJc0(r<G0*dba`VZR%yF z6XpLEIS^v%+Y@?cFgq*|EIgMHo-bfevF$aTE*6~wH}yrx)NWh}lZca<MX(1Ep|I<X zE4e(L$DvN_Jsorf7ZTc&Gt^1WMV(}ZI_Z9fLH-zLvS+KN(=N*xc*7pyy%?wIWN_~T zAvNsCtNxl!@_JDxnW0X1y~@C;dZozsoxBrKp`GjfDv%somMko$>6CP#4Xi#;lQfvj zONcss-)(><J4%pxwKSdNIZ!8=*|B_`PG+c6uKHf;YF9UME5D{w?U7#kUX|QPqy58K z9_qCE^H?~XBPVI|mNV3;Lh?d*8}SO_<9VmV?&R~^7lQKJlff&rji8&o%2p>YE1i5- zepRfush62fl>d%>A=n;WoRm1I>Gb|$6&Ur+o%mJJbQ;&C5xDO!OKi7tB}^h$W){JQ zo%4bZPd&+xJ3J0VX?||61r9n-qC3EuK`=QNb&{D;#MQj&18(0ui1|OdQ}_%IXnD9K z$vs}vsp%3sI6kQu@vNokB(K*b#*-Q96gDkRNxWKttRJZ9G-dZDMSr3inRAer6}waS zb6=G~JK4Vse#%RTI#s{x2(NEcA|r0{T<lKr9H^7b>{u)lL#h$#RO*F2{kh7O=xb{_ zWggj~Uina*JUqtdMV+2>tpLN#g-BE^XQ)%X!od)K(3aTd)^vI{*sSEVVS6aBA5Ht; zkAO#g$W|wBE1k}rXsd6tZv=GAn8BvQ$CxtHiSpZ4@Ksiio(6k*gs?aeY|Z!-rC;kv zs8f{Ro*M<rvHFp6@Yj5(c9DNnY|4UJ1S{$BK<UmtJ9>9Pe55Q&_+{opWp_p_Ts+Ge z>LibcI>`)mg2ua*on510viOJ<FLoCWOjBAN4~KjHyo7kMs}kd=1QnbN8|h@mlEl37 zdQm5tp-xBJRnfoOlL$F&jVzan+y~EE>Q`)D3z;XUF@`z~O^DD}{dft=|DDPh>ZBBl z*553)8uS%;F6t!DfjY?yb&?tC6uRPX{Zr$o!dD}oqcZ!`=^C#04j9{b3Vf{*%KjU5 z3OZ6pA2w$clz%;iG1O`Gtl0sjZAQSrLHt;-JH;gL3aIQh25PmQ@lU7Nui5HU-b$yj z4Ne@~I6s2DdFC$%>LfFrD8FsZH2r`HF|hC;HyQ-n3;mRO$q6tsdH~NAEHrVW(yH?^ zXw-#2|1o93EP~bOzFN88Wf|1!&Er6nrmt?DQhx6;7$$NJg305dPBJr!xB)|ritGAB zXcx$DyHTg@S4t_T3oL-uDZCS*PHP;4^aC11!^~0>7(<=p^_s+ZGDDq8Pj6xl^j!^K z2lCQT5w~_mar3wb+o87$*AsP$(X~I=-{&rLt}}@-)M@JU!1UbV+rW7(&qbZ&IZ!8= zp-wVGo&0YWQ2SgBgPp%7vhh%-4Xb~d$2ms8?N$7gN1f*9o^o)IaTd7iIYXTq)z5v< zD{vMRa^c#cPTj_hFb6N62`^ty{ioBm-`VO^!Ahq==Kkhmr4r%vl38qM)JbMKQT})1 z4(p5MT>*Zv+-MLi`AM|W-*Y{jdd3wqV%(JLO6bk4@L~NR#!Oi-i(p%to>LkmZH0Y1 zcpQk*d~S7FDdWElk~VN=5bT{a9_l1BqlhcoXoccib0fHK<o7VB(~i&el<$jI!?E1F z)TonbU3dM=OG{xNgfWIX$?G+V@nnWNB^29k9vhwpw=5AXmx{O#E(zuizQ>`2FK4LJ zM~`ymqaokm*0ylQP^Txi9~|8D>M$&^naLRHB+r35$qaRp8R`U`YN}HY$3f&SJ_qX5 z{;a2ZY7YBeRUXbzr<;v!%(HhUL)<yOUeqZju!!0FJNrld{`^=_r$wbNn6LdwgvMU8 z{^@ihXIgf@dQj0yr}^tVRqKnL%ygps>v9$~XRc=(A5PaUc6}e+*Vl=PgqQubi(S9w zBb5&wVqtIt{=th$<jTw<SkY_4l*khE!Lu2U15uha{=v$PGO=(@<QfE%b5SRm8AaT) zQ%=gICDE|F3Re+zx;nUszDQ;`>=~n7?D`IkGk5Tt4Dq+Li=Dh)lNe8Cs8h<5%4)-) zg|OX$pHfuBg}w1qi&aX2iC49YU6;8o>bf(RpmZ+IP^Tda3agGiQ=r^`T<qjIP$!w8 zPBKHC-i;`)CSK?TvB$NGUE{*F)Ru95p~x`pVt4*Q1$Fe45cb0)+QshFq5##;V>;Nj z<Lf}3hCXbdp1VE*LRxAUyKlDH>Qu=}r{1@=nXNB&GSi9j2Rq&i7&R>h@}AHxc7;lo zRn}}w0FRXe*kKt(Tu8+^%BGRaz;B{<v6Goa#7)f+p^Ux16rLEhi{0$x*~*)!WiWmc zXQ-2$i#o{+b;?PJvhqM8Y#yRr?1p)&`Y6{0P<6L<v2(8$pYGEv8XUc}i=Dh))JbNj z(?FL8=5YNgXfjm0*v0)mZJy$_9rhN}E_RpmC7VOa--VO@+QqI>*_q~P?2FGi|KnmO z&w)D040Vzj>U6o9qP80!3VJ6#2X?2Nj<wYq9gI+Ir*^SBP<om9OxSGrQD3{*CESWM zKRgo&Yw~LsyVWN@n=5<Hgr~2xi=BsKwmMa|(utcN6Sx-sPSkG2Wu_D5f5Ey_@1|Se z%UfOs5UeKaPVS+5pyA~qj2Q*%#=6suCMslX@5z`c3uX~)!}&mE*^h(lXJ&XDh%<fB zy*^4UXBB4c;S6<>$3vZDhC2OV-RZ!*eeh!`{{jtmr!}lQ{d}?m93S!vAYSZ7v+k7O zun9gkm%Eep8lX<{Yk)fSdeB|{@Z}J=Or6fgqvDwV+BaACAH4+AN@(4w>T5SObES^d zvf-TryVHP%In_e-E<@^mo|}vP>2&fOT6fZpMe9x)L!H)~JEY$Kwh%IVXx(Xehh1u< z%VK!;j_ZyWyTwN`%@<p4gzX)*?zC+B9CIJHO%PpB>rU&dbyJ5lTMK=1Xx#~lW~);b zE1kIcmHgvi&nE3wTxL2^{-&%ueehlkZ<lG^$&Pg=ua2uBUx?P7Ca~^Q)h!j=+i2ZM zW)?Bt?LtQ7N!Uhs(p~FL_UmUVgKMV3+qPPFl5<ffnW0X$tUHw*xCRpRT6gNtx>No` z%c1BTtvd~6-D&rSMEL%be_oX&l#thpI>`)min;aE{PW~iFxAz%Q>~E}bL%uSJbui( z#0@c?&9KGh-<w~;sJ9atL!Ew=o?xyWVTQm-JQsD6=g_*7Ru8Q^X$*Dx6f<4z)Fukv zeBg6ncbeF4nA){#46K~5b*BL}XPCb^B!Hc>)}4;k&SPHB{z<~@$NX6EVpqGLjauPE z9Q4f4x|5+qwmMa{(uuzb)y&r(6lhE*%KxpruaZ`23)r95x>GWHP|zIqK-^5NJN;Sp zNJ)8TW{>Q(?j$pd81LEA%gV?k6}q?4y3>dow-x8@DnvEVx|5uXI>`)mYQY{9EN!_D zt~S=X(-HQdz-Rvs@Y|quColG(VC9cgu&u6jC;2r%on(eO*<7lSzP#Zv*gsn9PWuz5 z1}M$0!goilJ5AU+U7xl~N9z9yW#vMhnx<{i-}!zKEdSA+<T+3$nW0WHL!J86=%h|O zodVs8Xx+)dwSrpw!&*48hiih}sqX({@2!KQNdEu-!QI`1B)D4wB-0xlg1a0n&SA&l zcCc7*4VFM)0)&tN!65;X?FNEN(BLctch@`k^{Zd+nMrSL)&Bnfey(b-Y996MSMPK` zwr6%`*z`H#ck9X)64n)1GyYPP#FH7-tMfLIr)A95DKdFMy#mi8NU^l$>NK~MTb-&p z=_G$^_`h#<`~WRh7<pV!r~lW!*=;T7R;OxCI*n5w&=a%5$+os&IqD=cMXV;fo?oVo zT1As(J<WriW@ohZ_!y#!f7omjxvcSf==!{j<o&BVucx_S4#AcUIzad5*iEwRh8z)7 zxHozqtr!wZUM>S>6-=&&tCP%ZBIkcLj^1X6$cSZqd0RYps%1Sx=kd$aiEqq<UFG-J z>5yC7$b+Hg!A{;^)JbNj)6@%3=;qs7Nl<lI*{JBZYW2s|<9-}Ta|I4Mc(5y$+CiJY z{Ym;SfCCJ!PGuAB(7)H*Ccnh>DLmN8ec<XOGhCfyhO3j$KR0R4Z++CUm&{Y~(<72; zx1J95!58yj7nAlD{WSU*xw{hf7gwjB5vQou`6U_Y2W|0Sx46Jl$}b`k|K?MS3k9dD zxYen;lTL@rRi*WIg%CCqh6r_%nIfjY@z%U_!0V0V=q<RYPXufC_=P=m+;*}+{7{}v zuol(#+bb;GN6HNA#B-Vp<`67P(ouW55z(Z@BFGUjHRXJd*vCHIO^QthW))1XhdRm3 zCUV!K?$|%9izcx-dhxcX)6<;k=+pfXq)^(yoGlf(<vEMe-eDSPSrk4NYXp<`S98Js zr;|@Tx^{Lnd0hpji;CQ@gLSBXSv#>^gXuz@mY=IcLn^!@PuLjFP^XVm%hEFeXGqo7 z&=z%)`$e5(hC0a%bxNhQq*=onlZ0UC7tfuB^>0P{)bB<1Wrlw7V0V9}Cygl{L1y2D z{Y9O6KgdZhZs30=vMIb5)M@EmA9^fo73s8iqM_5fT5ff!;iS{$gSpw<Vtg9r!TA8{ zBr`=!f6LNYSaOAfB*R;Ht3<HBl+-N4W=1AXfa$UccJK8^dST`nvO4|`&NLUyA=rb* zU+JAy`^nN=F#SYK&56ukX!$La%y<cHt%Aw*P$!w$L~h54-?Wo*oa_%X&z;hRq-U>& z9w8t1!AAgf`q(%dOWM4TKga<?i8{&qtBHCtL!Bx|=3}+HM3U08;GBqxT!R~VS((k0 zG%N|{Ca4q1lbda_r?&VUf=@r{6zrFiwI1=5B)5jPsFU0W>LfGNNoJ^1y)v2E9`$?N zdpp!aow}FH#q#|*Rc&I2r2%z{Ynz?T+JBYIIS%`aI;DzB!-mdDYiXX{JQc5gpYIzD zB>@ws8am~y?^dUpPCB)YugtPqE|42};0h_~Br`=!|GW-m*qE6~<o+eljtDmGS3x$V z_CxYlI6UZJ6U;kv4tCM<lKkljmo_yQ%psU|HWv%{>oTb!ezb;&so69pC%YeXpWNyJ zZLNaI^-w37*+fpU=4a1CACWot;F2Y-PV@E@XF(6{kfU)ht*BGL4=*<F%~f)@J6sq+ zo#g%1L_L|IP9E>7vugW}kyESSsxuY2?5C@-8R_ql&^t3YL!DB8tHe6q%V#;04jAfm zWLgDQs8KpgsnO6Db&~r)on(eO$qaQm|J9S-UE4iA;$NtTI?Xv(nOTM{Ro}dTeo?1u zq%5l#{gZU51pA9RtsYdE4O(8*5*ZCST%GFvtj^9y9U`0N%rbQHwz$=)mXl5`wp=8~ z__@>86z5JdQ^fRV3%yH1S8gXqO2Tvz!FCLOO$yU}q@wr-+BU&fjQ&A7L>(qRgF5h> z=7Ko{`?}>bsdMxUdD|RvL`)5>@{NR!KgKUI0J91v*F&9TW)rz{&)<>rs}7J7<zQt) zotmtEOeRI|BKZal<_vWzdh8~t6B<RnT!fDR>Ll;4ChExyb+X(&LB_YaOI}X_J*mif zTscjeCp;#}Ma*-jdX7YLt>G`ySzJ0qot{QrA;q?wBz23x%7Hq`eV|S<L!D%XI(5l6 zn;c8dVk!BTd9d43H<(<glG<{35*$HLryAX^ke6*1k`Y%ShdP~&zeGHyH6aTgo2yf$ z45vwxB74bBn|bckwW(X3YCGvP@JklreC{MOMNI$R>RzNztBpj-VxBvB4{k*MEV_-P z8`_({Rh!7QzxoFW3ED%l-)+yC=7Ko{TTr<(>38ZNnRgp<L`+SwT;0j$sr&iQY5=ne zCf7rqWM&h&Wz}1fpn^Nd>;gS`Th!^4wKiE6vxQVTJdiWgY4MBV<W*&jSOej?Bh*RW zUrp4L8R`^M@IUq0I!3CzhKnUs<f1dCA<5g%lUvKpbEmv*vy;PV-jkByFs-Q5^cH!D zCG#=TvyFM~B=><j$qaRp8S3=?L|e7XAMvDFD(C}Or|tchs6OLk$*%-BPePqKWXeO{ zWep+$pMarGtM3*fGYZTiqy69`(2>6sW%n+H?9Hl?85_-WrwOgx>Qu)`rv@)GS)9+E zWTuGeZ)wS8iGQ|_^i|+(5y6i9Q^-=89U<*K`f_FyEVcpvt3&;dk+^B_HZ>Q_Az0h# z#Vm<^lE~;zkRxJhUVSNUsk7lcx&8+*t6*|H)JbMGk;~quh@}+&>CxXa%~SE-!}3{z zZ^V$fIpJU5piV0r<gmn~*-Mg7!t|p~^8RX~p3G3Egj;F(-#vaq)~te0H5Iu=i_=>Q z7yV4eiR)N51Y5c&vn9D{T1&I`=DAa@0$DAcYMv*hJDBHAav!LZ%upwpp-vu$W5~LZ zr7b!B1+`J9QRFhoS~tHXe+6K*_)AeTDp@VlYAhs|^Mg95(}*IOE%s`aNY@2$tqjJR z|HuCpVEU7GQuC;J?xb~at5aPkoesY*V{txrl9@uFw~D!|SOTwHCD9#WIEY}GJ9%4* z47fw?797Tz4H+dC?bJh3)DxyvbHN;fB^UO!qz?Z<ZhnS?6A{yJJdbKwp5`q%_Mdqw zo>{7gI>`)m>J?niLJHm^kHo+3#nmZ)!<v?n+6@v_cMR_Xb;`V?qNVn)%Otp<jWg6q z-e1&7W~kFPpW>G2<jj^anap#iwj(?&i|b{#bZ<3-*F&9p?)S9h+Fii%;Ut`|;OgXk zmH!3t_Ag1)So7RT?gMp_8R{gn|LL^h23c*jSXL~C{Xm^Er2j?+-LG!>Pz@OBlxurA zi`T$#(&`WM-04KLm*rFcX5=TE#dD}r(L(&u!?MXF^<MMbiFR|Vled#jFB|7&X_8`T ziR)E(X*?B|nIfhiSnquCbV-iVJVy-nJi{@Xp;JC+Yp{>xB&{5pi8IXwa|qTZV_w$x z>q(k_Bjix0$HVfla`w}-Z8R{ePz?Gt>!D6EL!E%#^g2%Cy>s)ns1vXyODK)0T9h-? z3D}M&N9c?$UYwy$z|1i~on(eO0oz!5FQqdo^S0D@e}N}=(d6vFP$$T}=om@gzJoDE zoq#1*+)0nV1(ue-6h-a>b&?tCBs0`0q~94j`(_qaU~dIp3w7Fb@(~S4PQ~6nEyo$^ zw5eZu*0A7R8hfNHXSh18FH)ZEAJCHatPE{YrxL9_*s-ijY5G)^jZ^Vwz1`~M<D^rq zM;Y0koLA|Xn+14j)JbNFn0{bKzu%`lvS;TxVz8NaUei&VQbSvVMIZQ1E1Z7Mhg);O z94;6UQv-dNZLKaC>LllEM(#<f_q0|vg})cn337*DKcPoE!&IS8z-n&2L!X_>$r<Vd z%p3#FsAn?NNzV=TgO3lDayhJdIYXWFT=y)HL!ERM^8*;_q%$0Q)JbNjlgv=3wiQ#c zJx!j_W#4o0dZ^QpMyc4z>`&;8!mw|s)5rO#*+}nX`n7xx&QPZzThp<yRCj3R+3?Xr zos@MMSa{<kT7~8_bjmo;txolvbQ*QklNIquZJ)fTA}@_P$xIQ`5A0{|GWJ&|O7I*p zSj&i(_I_F6ZP^UA_OIdg`5n`9rnz7a!G<07WM!|6w*Tk`IU=TJ_f}69`+T~6%^+Y_ z!JuEW9_l1Bn~^)azN5YHJJ20<g52asb?ted7UT?d0yZ?Xu>D?kSY=TsVCEQTMm>|E zPLR8Be_wpHEaiDyYUHvu4T&#Ovm9rr6Xd4$%^UCi5*X?PEW^yX@%=ABThvMJ7j=>u z>LfGNsmz3YENJ8$>VE-N9n@)5L=o0xa%WoRo+oFhQ>Ndg*tkEQ*k{j%cBs?1U8Pxt zjM+)8%U+zJPIL2ku}ok3tNFK-H*_jD%&kuKoph?&xIDAJNvme<Uxb%Non)qn=?C`j zn*4qr*TAQN7;MG;<?)%T!1UV;=4mNs?|$zaA8ySBbGTqcObzs5wzaxosFR$t8M!mH z6XMUUPQ%{|>I6CKxg~MkA7tSSbpkeOfX&a=AungB6EJfOG^3u$P$xa7h`-cHrCh`d zSlv-4J@;WHXpB1PtnKVVoS{xS!?8!5WQID)40Q_syF3f))hWLGELiPOr(UDVv+3mm z;zx$(;S6=UG@(2z5D*o&WFLIwQK!Sa?aj6w{Wj*v&l&2psYiMC;`V936D<lEI<+0; zR;LC|I;AbxIj+-NyBfF}%A!s(Q^fQGd;B?C{hA1Gi5M)d;#ze?{`%0?U@M!>S6B9` z%9-YZIRxuBrB&SRHuKeaB1gp3^nX=1Zd||l>TtoVf<eD#J=95NHY4}n&Q+@CkGi~H z)CqE)*}~Nl?=766PQZ5T+N(Y<7{D3o1k4-*&8TNG)CqD0?iL^|XSL&PsgbMQy8=1+ zS6j|dC&)dt_95$914EsFE!tLx41EY~Q75@y)JbNjlgv=3C#z@srnj6|TSd0!^-!nH z8%{R(r`uWeY3Ej)p-$ggm5b}2|CE}j07IQ74(uNvKH!YH?=rj>)ah%^Eb*+varH-Z z2ScZk6Wr?L>!j1Xae?&8+9=hluBnsE6fyn4`fUtWSB*4v0#^UVY&H9Vdi-tKjGWiA zKh;{l;FMEy!5o6M=o?78^c|%3R6si-re;f(K>9LUAN5!|U{=AP53?TXBr}_lo7{7{ znh<R21i4MIOH}((Qzu{*|5&fii)qRGK%Ib@W1t!JOolo^uJFFBB)F!j6R>+ZOOSD8 zOr1m@dpePec}$&v(Z&@?Y>257FtZQTNoJ^%%uuJt-3HLc1?};XgWK@^K%L@ljiTRL zmx~*I!_;Zp>KU~Cs)DK|x2aR++4E?zn)yl21bBa_(}Y8F>8izV)H@&B8#*nW>Q*N| zC!Icc<YmKeURNvh^5La%b&{DPrXSdU_Y>5R)s=aU80=cUJ!<Z|a6V--*pBL9s<&re z&NLUyA=rp=dD-o*>(y)(Acs0tsh5|{uf1BWTn8BH1pS)zP$!w8PQdbo>`+fr_!ft& z6ENSeht*>Ty*R_w30OkN8FkV9YMh}?z|1i~on(eO0lPi+o4UAj9p07-?SN&DPeuB) zug%#FgPlv4n+%@=3|A+}9qgZu^u7XZadndWK%HcUI>`)m^5~X@l@2dVE2e{bs8jf* z9BgQXbN1ODwK#*9qWrxqFDsWYFRsVQ8hjg9rz>x>u@b(cNVAgg{yK`B|G`|Wd%K!s zNpxL9r<hr8byA&lx-|VXoieH`In%8LFN-?KOcB!$?D*$4q+XC8&k=*|%GreMxdBsS zGuXQIzT}1noDOO(m_x8z+G(0DvH>Yj269A9L!;NHX(LjP_*VjE6%6_{>!D6Evl+R> z%MHn&M?iPf33B~YwIu!a!it4D0V~&`J*j*fRxH#Bm^lWTQO{(k6XcRs+DQA&O?X>s z<Tljdzg*I*F=wa~<SMQRA$?*SafUhp%e86&d9fSXqE2$ZsFTc4Cz+v67ZMX`v*=%b zTN^+<)alRRS7_6_3)QYR=ofXmU*-xO*D@<fJ-Q)hsFTN=82UCMm~2@GZBeIQ#~Ho4 zc^3KaWivyk8}r@jM4WV*+V%@AeJB;F+76DvsFTbTG5x@<P5Pj2nD5VX#9%vi-BSxB z!dtf)Z1%bHs&7H~2BW!P4#6zEUcOOhRo|kJBVua)YxRXD%}-F9dI7Tv2K}1#P$!w$ zjNI#5x6})JtMj&~6XfzOf2N*_f^$3630P?Duj=y4F#V_#Fmntvqn^o7C&+!BQjI8i z;Xp}^T$iUR`Rh}2&QK@FB?k^CIS&Ivoq)aYXhG&$p)Kkp_lr8o40Vzj>XgNvOq-9| zYCkXomI2hMT(wtpdAOJTO$=y*I?cH8nbzxBQ1x8glrz-n_M*2mt;c9GusyUzoe~Ou zqSkM|<j&CmLnmdKTb(Tbr_=xG^#4;QkJWB<@^{h+7ShL02GP!k;V!;;urrw=RujmD z_8Uo0egeyh!FD&BME&ZSr{a+7`^R)TV1{`rE;EN{>zU;=J(o0{?w<`gB0lMT94Bc) zrkV8PB4Ad*<hJI)&g{cx<dy|ap`VMHr{d7|zb<3x+q~wfI53~|BWP>`^Hdy|xxboG z&t$kdiTCodD)pY$p1(h8<U-FDrIRuM!_^6Lzk46IKaYhmH4k=UUge+@9s<MFN$wX{ zCz+WCJM+EZ>eQosd+PiAAYI{ao{CRBHH}stwu2VlW}b@Yj0>j&XRoBaP6qIPadlc$ z>J5GIOQF?oLEHbWP9^Wr@U1oJ?}p~7I0<#DQ$r`68U>_cbqB=LrIQFRjXKFp5z`MW zXwy-u?1M#=7_8W;lXSv&FKBD9vKP<N^%l5}rMX}Z!Jei`#pVt_N1rx^91&Bqy_Ldp zd_PYYwgqMt4Ei<ep-wWh8M$oxPtmG(;qoLN>>zinSOP7770##dU<d5M7)C$-1nt%s zZOt*zTrkuL+Il_TNiUa$v7$!q?w%;xJ3TPe333hJ2Gf#P{W(LOfYmM@L2DNShB^T= z`$e5(hC0a%b;?9%(~(26uoc4_@OpT#Ykp-Tja!+PWjYEUZ#>v-8hVBH@_Io#?T4>g zs8hzA1=*-~6KSqy&=z(2UNbw(;t@(m-10LHc7r#$)v1w_PVzMk)JbNFn0{dYcirj# zt?N#6Bi-uM*h!}>-We?By(!d5W~dV|=X-X*obTBIGw-`;LPeQ5TreU&>2l8Mg5l~U z=WIsK`JNr*obTBIbG~N>%p3#FsAn=<o%CGFdv-cYdCyK~Deu|oEag2rou#~ICo^1~ zWQMC#K-27&n08dUXP2c$c1!FsD&4dDT{N4e_UU8NJv*&qX3NKeXQg{~^(SYvT#QSU z?%8eK=~kyEPCBvR+!ph0I_e}d)CrjL69vGWpC|xkJ^_F_$qaS!NXl*5JLd##zb2Ev zez1G~R~}2+1IKCZg}_iJxh?7>Gt>!~^AiQYoS!HF=KMqfFmnu0Cz+v6z?`2b0OtHe z0Wjw$3V=C3Q2@;B7Y}waL!D%XIyGuv$x^N47kjd}?}i7vPSwj<9?$Thejaf0fd{*X zFN;~Co-Lto?7;9~=i~d7Jf8M1?X(?E0`Oqx{~(Pe(&rvcf2xXcuuI(UR;Q*;I;9OR zYccOl{qJBWF$E8HoH^gKgSO81?0}i~-87@E$s8^i5i5e+7Il&t>LfGN37GReJ7CWD z?0`Anvjb+10qP_()JbP4@7d`r<vlx{rMzdSvy}Jjbe8g-oy<@tnW0V#L%b~Cnun<= z@7evk-plg1xTdDOXE*qomt|$zWopWMcGny8IqKh8O?l6*$CR>`;I*D=%6oS24!hN< znUhY<@|Urgcg|5KnW0X=oS!HF=KMqfF!Koj)JbNjQ|4l2ELXk_v}bFR-d|sxu2w2z z@jTYq-ogS5b&}hnPBKHCfH^-=0L=M`0$|Qh6aX{F0CkcX>IBUBi2`8GPZR)iexd-F z^AiQY%zklok{RkGGt_Cul%kf=wYm}O1o-NKtJCtoJuD3?mmrysmf{Ror-MIBTdMvV zpxTE(4p*n67YbYayELR74x7(AH9F>DdE5G>J=>;=#_Ck?s9T+yJLy!d_)KEnH$t6c zrij%9nDae5V9xjKfSLE$G^4G_9D;e*m`T1Z9;SZzX<jIp+K<<(F<R~N#k^1;*F&9T zhB^UrzGnx_`JNpx=X-X*%rQWnWELY<PhigX?0`AnvjbMq>7E@h=X-X*%zjZPnW0WH zL!HJpA4jenZAX@Q!bJhp>C5ver0!!MGB$SrXQ-3o?sRhYdsb4o3NX~ELhVt+cK3&0 zsp4>P0}pnwr~V;7|LU!N+G^ec_CDoSrxs2+C5*{!G4EHQPBK%(^aFFgX9vvro*gjr z9-C&gHJL-Otiy9#Jo9f>TYBW>yF|ovZSR`flB3f$^=lqrR>9<YsFTc4Ct%L^?0`An zvjgUQ&kmS52B?$FVvP6Ve9sPY&iCwqIp4Db=6ugi?gMp_8R{f6)am5IZ)9fDelksg zy8x)uyHaT^3v;h0BdWtqFVyL2r>vGw7kd-$^T1H2rf+gu3fI{df2O!MXQ&h1o!hc& zMq#xT@iA7Xt{2?u)Y3_(3FS`^^WGHdBr`=!KQQNecEFtP*#R@}v1vwIlQ{${n)w9j zz1ELREN0%bD|IM=EXiXb+47n9?Bsf=lgv;jV9xjKfH~i@1Ll0s4wyLxsFTc4Ct%L^ z?0`AnvjgUQ&kmULJv(4#zo?VUP$!w8PSx_PBtv5Dq}nxqt_12-WnCD_nR_>>d<`z! zqD~Di?ISg32a%{EkVBm=G&)D}O;E`DO|XqRX&=v!zBkL0S^qXSbh2G_t5blJPH;Wx zY1@PJrOmu5E;B_;Kd^>N4$~fo%&X$S&QGWG%5U*Bf{{x)bew)~3I{CB1#<`%@i|>w zXv}e{G&2u&4G+$4aCW!e)+$y6=)<gsI>`)m0v4w+IzJiiu;XP+V52j|(^<FR65~>% z-ZJYU+B&s)RUC5W7@$rvL!E%Fue+8uN)Ka2je7g1Eu%Lsm{-LiH~;WJ`k8d%IlPPs zEcw-Zy6GxRUt0d+|Cjnjon(eO$qaSsthFW=1J}`G^~{6aktbzH;y>Z^c$NTOA9X79 zVY@o;%`O^z7xou*`dspbedYaVss^{^40S3~cd9*4&^}sriFs9AyX97=RxWg!S$Y`# z5Y?5J#?=YlzR46riTc_Y+V2s(RbsF<v!~Kq<yB~Fu-%hq(o~~ra;CXp4#AYA1>y!x zoJmuQ91&BqX3XY#_eag7pZ<onR%5!%dZtb$vl+S7eQb1DHn`Gj>a=#nM7kht6V6PX zlKe-}PL*IN*BEWh{ncDBQzvVV%JlMIU3gn+<RX_Bpq^hkb9TdE_bzX<E9+oPO`Q&U zWTJI10yA|o`!#hknW>Y>P^aF}g-O`}e;PUoG_J&7ic<E%XEp85HuQo&JX3`_?cDs2 zYF*fe9?1+0bvilbfPH!OUNqM^&>eN^__m3?=j1_j+Tkw7>U7HCR;SiZI+gzRfs}T7 zqCjSfn0{c+PZR)iexd-F`2>Jwv^AMSu%BN)kS28!)zW#(^Ialh8j?SMAper<>itZ> ztb)n)P$!w$jGXfm1(0)oq5zol69vG`G0=>9CPSSd=lnzgFy|)<fH^-=0L=M`0$^qz zsFTc4Cz+v675iT%gNyAT*So++1$8Ps^$rQWx`wP615Zn!PP3F3WWn5i<kE9ssMGN0 zugJ^M%+KRO0B5LEouKz*cf;lC)SRsiot`~$t5ci*)9L?o`v0j@#@B9jYU`vE9N0!D z6=%zqzyZcQ*qKZbs|n=7zId=yr_1sjG1!y8O0$XC3qxCj4PEHTHgwL;ndX8y1l#cY z=8<&^JlQUh!`10~@4~*L=X$aj!Ekkge$9I3!Omp3Izg`2@6xQ=hy1)>^I#WSvlOfF z+=DaoVArg-2m6$>B4_5o&fH&IouHn{%!A#x4ux5g7mO7Zs~F_c94yGZ6=3GUZq?#E z?7#_l+R;4NWm#8%waN?3JlL6im<KzP;p!y67hIk49~n&^wa(4X^?)nexH@Gl=0h@h z7hw4+!#1u?!4<>R&=p15<<GFcxH_Hvw>q6!z92g@AHMD3>U4=5wy$v%W!YEPFjl8( zAKmKI&V^3h9+qLnr{v|OO`S}p7)m_2UV)|Cotfu|!Te8EXLT3;;zMgQSeN~E+0^VW zIn!J)hYLoGsWIDHT`*H8GiNh$AG_CNalOCuZBwUvZL6?h-(mVpoeEVc&z29(#+j*; zxxboG&t#@fz;Zvx#oJOT7n>TGsT1VVMguc-0@gP)H)p0!W*??bCNp(18S3P_u!1_I zM;TUs9eiw2ryfnqsa<-NVKd^O9qP2}V`kNVdKngWE(>R<)9(^9{lZxpwy$gs&QPZb zHJ1CHyjh0b=$qTnsqJ^SI<<G9)A5c9OIi=dR#PXFDaQ1F7@e9my#e3ih{5W<PRs1Y zV0UZ=JCZ2_dprPE1kD9=2-flGt0OdH2KGVZh?tt0<32R#n@(p|W4g?GrcNfa8M&QP z(y?)=;JnM!Df8|$Y~;5ZoS8ZW-$}*ldH8Z>>SXS(X4Es8sZ&#*H}ruxwWmf-Tk(_* zE)M4~rcQHeUZ#O7nsa9A^e{~_J>LVS)YQrB!_>)SrcNe9om$tmk*>2Hv~Xki8iYDM z>)49C9{Q5zDh>}|qfSSk+*H>#{Z3DQgZ)LF8r;cBbKm|#)9&==40ZalZH>Ld{Qv0t zs78iPBY(Tqse_YFwa9N`K68UQ$xIQ`56t;_Ct%LcI{`DFPtuIGCUXcjEAcm}SotjN z?`uBqRCAqTxwi5&Jy64Z-bt>9I>`)m0_Oa@6ENrJoq#z%?*z;o1Jp@os1q>f=beB# zKko$0`FST`&d)mmGy6rIWQID)40ZaqT4~G7npf<e+2B$n>XfN}aZA(+PrA1QJj;bT z74y$+X}LX+J{8Y*p-#d6$H{}YZ|Q+#&<=Hq34cKHPr5}Dy@{dInsf)<{ndkxPCCIQ zGV@74)JbNFn0{c+Ph$deei{>)`J|*~v^AMSuuB_GkoEU$H2*a7x>LH7CkY|bX#6-} zR`KbV>!D6EL!E#*KaB~@`DsjG&QD_kGsggRk{Rj*tgqA4n82K$#sud4G$t_Tr!j$< z{i04XL!D%XIwc<ZmyF#uJ-+B|xSoVMb@lvAMlG0PfAbrj0Y{y(`aC4JTIQq~MnVpC z>XUOd>Had9PJYmiGt|jvRWup9a2^fpXx?Or$>LV0PEI;?8nlsxr;b*GtHHSr>LfEo zOn){S#v0Tfta=Z=#B)TjtGUA1o*cXUVwdcNwt`KuYAo(+y7(JDA)IM0m_x8EBQ;j% zM&0-ytszJFOHtmf)Y#quA@N^l0z;kTdZ?4kP^XQLHJ0Gp%P;Gd?Yu1>>;eXdvC!+q z)TINDa)t-Hz~^CXc#c_Wz(P1Mt>G_4k@pvMk{RkWQj1{k1FDnQV=z`!v^{Q%WSzdZ zCYCa<_%_t!RmbmSXKM$Mg@1hF+jy{h@kbPE-KPn8Q|1k4c(9ZEK%HcUI>`)mN?5jm zr8)YOW<3b+1$ElcW)sVQ=r9fZ^9g6D)619P?DKy)>5m)_I76Kh#;;-n4xJ-OQTI7R zor+jPS(_I&^1Rp+i~a}59J$=;)Y(a=pzC|tX3xrG`Pvt}H0mTXg}@M<Rrj(b_UxoY znna!>f>qtTho!xis809W4Q&P6`rmFgWz!PXx6EqJG#AVv*quCk*!Y8U)#&<=BmBj8 zw#6QnBYuSX&p2RK!Q^_Vlgw-)*LCt9wq~4NZPY4?Z=+7dKkQ+j@_te29GH64DYpM! zcD-T&@~Br5XQ-3BznZ8gGt{YU-B=bHH-oe+59&ZoMX6ExFpI9SjMTnw>J(g;F^`Rh zNtR+?cm{R4u=+5Yv1tj}^7A!ksFU0W>LfGNNoJ_ie_8jjo;82ahf|?n)Tv?AL3Yh! z5B+%C)M?d}Se7;~weS7v;5pRkTE%cS>T+t!*+KU>L!Gw#xr05rxtDaQ_}I`%Dd<+G zE>1cX-LjSW+scsM+mm@|)JbLvfnl4SYAf4aJPj$=;55$>!H#u~V2hLZ4}NZgDYOaJ zbki30<8c?YbplME=7Ko{`w+8*y?on3CAT3*_)Ad=z1hP48(TpQ$i0kjTLqKrp-wWh ziQJ?L5v=*=4eI%moA@^B^l4iJYhk^up1l>z8S3<J`K@epm#pO6!bHwcCwYH0QBP*5 zQ?oYFY|7YaB*^}VXQ;^i>a>f+Zdy#r2R!E6Hw1gb4zQ0C4w3L|uo9t8n=|ZYMUTuO zCtAT&qfT-ksFTc4Cz+v6BYQ@%%V(a_f@k2ppiUh|?O+L8H_=pWVb#IaX-H5s`y3f= z588i|Gt|jZKZFfk`jzB+1Rp8Xsbs)LwxCKBc{t{tp_4~(w>ouo(kW)ZA@-{fp+!sG z=A}_5nJHrWLk7pPg=GfPRnw3091-kdml*aTb{_R@yA|3B7Sa14yO(Djt=t@x&|ENw zVEeirWZri|>F7R?BmAW(8JZkqliP2kRo0t2$@Netnf*_v0x_)Gp2c)Z)s4Is>U88z z47;-DAKE2pKWC_uB{G&ZIMajn$$Ew})Jfi7)JbNj)A`eOw(0d5d+~cPR;bgK1B`9b zme_lCxWgIhl<(Y0wl8Ru-@dyr)u_`{@8j&N*LJ&iGx*q|PI4cplgv;jnW0X~lufKx z?hfqhP3RYOO5?SSRef2VeVhcEpiaeq?qh4SJ)`8pCC*T%c_;R<diAQ2YWFU1hB}q_ zH-?qpQp$Hl^fg1LW@X&!)Xhn!uwh%+rG+-yB|!1lb&{DProUlgIGfdRF1<MehKC6D zxO_PC&9I#Q2t3D`O|XGWH?vY_gQ;EH$C>7WIRq;;dowHBe=VJJ0CK3)=|P*>hkhIA z?^nRA{G}*zJ=95NHj%TY4rl2+SJ3fQPw;KjY4fCTmS@x=`gF=I&QPbLU&Gn4T7fjM z)?3a{CwYH0QBP*5lXqk!EACN_Ccc2{Y*ggZJcwe$#$~2?763z?o;;3b0i~MSEBUAP z*L7-qXdCky`r2NuM=H)xC%F&QNoJ^%%uuJS6&JDn6$6-34dxAXD(btErE5`@1^fKu z?*(-_m`Y<sSA3wCGr@rub@D73&JJbRuKraL&h1bqd&LMg^6OfAmr_3sod#EMt5bI; zo$9CB!OncGPCItL&P(I!Br`=!|CwLg*qgK6=-YkqJVyju^el>PUOkKYPJ;uCO|aM( zk*sU-YT9q&Le4Z7%pq8w$C0f1{9x)>0y)B8io&i%vKiY$X_-^Ntb)n)P$!w$MDF62 zD7NatJldsKDBnh%JV$P0)d!BEo*8#@hB_S}+gYD4t!aHr0%xd`yuX^LCo|M(de|P; z_Hd*<VkL|f6}gw2_pyony4la%1BN=?OLv$J8<9;N^AOHW;Nzz#zv~}l-5ad4hqu1V zw^1j#57bF!sFTc4r~b8r*$mB}ovi{Z5$aSoy~d`jD$Pp&gp~+&nzv#rOI7wNeWbxh z9(CGVHi8v9=EeWCG_265)2e>kSme2}z8lJ2GIUy6&8<#7oOGISdnH?b%SwMu|HezB zPBK#n49AeFD_I=-n+_ZA;5i~#&WS77%=R;ByTIenR<O~DL2SdZ1+?+@?VM>Ym_x9? zP6e@VH5Sp!cE}O_Qk0&1gV>-mOKI#oU{=B8dZ?4kY$CU_)e2T4bT&Oy9dt*XA}+09 z%a2W=3&&mN40XEJeI*-RVK{B+^^`NzN#0*g)RP(NG<<$A%W&X_ec>+nq*IZb{VIgb z7#m}6*&G<^v~=<Y7X9d|?*pHIIYXTaC9h@c{#a;_8To@V)Jg6Gb&?tCBs0`$+btUl zYEXyGt?`xDL!AcN=df3|i?DGmKX8UR6+X6<1z)&E0~f(p0MsdFUl41TFG{5kUU7yx z#in1yQZ<=kUpV2Tq0_E9ZguMEq|=;cA*{vdV`{t3ut1_tGE>C#->?U>vp#Fp)KlOK zClM@jtzh;xvW>cU44hBd1gjplhJAkg&hO9UNX|4D%pus$-D_A_<(q!fze0}im!f>R zxrTj;5A}Oo9!~A8g30wzCz;tq?rx4?_N~9SniP42Z=+7PCI+*CTWu;EVCppDK`;yW zV~biY0;U;tlJ{2=^<;)RUA?oOJ$mLt0$0OWQIVTGOJf~=b|!;w0z;ivoDXN4#;+oQ z*Wtj1I%RmHG38-*(tgl?Jcl~TeV|S<L!D%XI_;{thOH>~nC@!|{i05RJJzypnYYq4 z1wn1p>A~AjHYDVQ{nF=moS{yhmlv}MC(jZ`L13uU<Z&xmw<9yiupwUzoe~?k)#(o> zoxV?8%^J>I>3h&0j{T^U%oH*Geb238!{5}2uele#!4ScU6<o!dp86Tzz7%}hvkBIE z$VyiDp`ZQE(OsNrE|^2G#L+8R)qh&p7hQ)O;V(tmJbxuSzGRU7Nd`DLSp}2pjda0m zg5`g;lEuu*VgDWp*O*YJVt=n<v(D~}-`f)o2um^dZ56xG{y|*OEcj%iPV)Y0A}2G{ zDfq`)R-%7`y678>6&1NA!J&*SOGQ=>{LQyfr~UC8+4HeI$;c;Z{B@m%>|f7b{>n#o zWJ}E%>LmApI>`)mk{RmMIcza&)iNzB_yP1popNLjV#=!vbcq7@Em5Z}LszrE#<!xi zJmEYEb=vH=m_7V6giPP}ku%ik&0~IK80$%nMt(PR`sVLer(RAveP|uQ{K~XZ6JDg_ zyNNo<OcB$+`M?%tFH%5#ksaOw5o}YTEiB=#=6BZ@&KqokWtkSvLTbeMjtP(BOmo2; zf~8#$&ITN)<m-PJa)iGW<w-<1E8k&T+^hG%tb)n)P$!w$MDE0gaMt4ebiZ{6F7j>E z>C~VtZ2XI4zqnQK4GVSpac2t~GsjDv{RV~{b&~g26ZK?<I^7D~#?JOlL#omA{<=<& z((Yh${wPLP7tO#K>U3=9ZZ>=HpJd}cxb2Fo(~FGJZ1~J7<k{j(oS{x~AE=YeP$!w8 zPURY}XPu5^U}=ZJdqJI!{MyLIUA#zdUImR&rwq#@*o$OuI<g9^l&I6Fz3Z6&T|1dP zT;U9LYEWboD|NCT**P_hag(KBbGJJ6cG9WH(1UE&yr=dI<xlcqM4e=&i0R+g{Q%42 zQ-<dM9?f$^u+p{nvnwTf(ZG5^&{nWAp8Hts2Z7Wtay)063+524OPPI)h0UceZ$OUl z7r*XQavxieb`h=Jb^_nF3MSV>on&Scxy*0(u_7Ob(12eH`8MigJHDUwui#IUQ-^Ve zI=$X-fQ?U8fWF)c7Y|S;d4DxgPiCl-B_WPI@ZTE0H~lG|p&~apBV~@j;(p3JV5rmk ziYM8(bf?vP7C0qFowgr1%Cdbr5#O~td^ty*<UUX*nW0WHL!BBGk6`5k3F~|Z`bC{4 z&Dp_nUMSA$`~@c;sFO9#em3<9rLPXbM-+9+UveiK`*<{o`gw>m)X8(sKGr2<rP|5P zjMd4zja!|pPC9L>wUarnW}|t|!lxQ_l9?i=zfhHEMw<Fi%dLYvM+BRfX9s&*Y&dPy zc^$MBtb2~_tjW0rbbJ2UoM|qYL$IY;x3fhP7SX>eLyqtlzbKG)JDan0867kbm{l;j z9_l1Bo5=M@+|EiYpFkUUuHxHs1sf8&gB2>(k!DT{=VGYS<B`#<&fk@3!%1+;jylQv ztBJNUL!FM5-_L?FsrH%m6M2S;-0~I&+4kr;@oiQEL!D};k7vW5FIV4RgKgBw@gSDH z8{}h8UIHsQ>LmApI>`)mk{Rl>;aVsw+s~JcxDEZHPD2`PX7<U&*o75mIYXUtr`gUt z@+8pW9&iB#b^2XoE6d>Bip+im+M!M(UT$Y0mAuqP3(goiSv$GasgILR9j_c@r;}Te zBOl<}4C*8^MNI#xvIm(xQ(2O>APgfBtj5>_>}k!{YWHIB>9+~C<=}qidm%*K`z(+% z%>{D^_E+M5*8ND3x=EP>_4rFs+GIPx3Z|Q(?q~qaDwtevqzh&fY*CW~?4f^>+Ou>B z-$tEAUO2#7Rmn~+{<Dj-r6PB?-9a|uWOed#CalJ&lf1v0$jJ<Kn)o!1#dTjnhMa;+ zhg9S)=AtaR$|iDj&0W5YI^BD6g6&*$fsCpAlrz-ndje(QCqqbV-+P>)PI4cplgv;j znW0WiLk_X<&7bM{+R!iRl<!I$+frm3EjA&EGt{Zoxp?+Dak;(7Fjy&3r?i_RSpD)@ zEnU`_mob$!yV$?c3FPK5^D?Hbhg+TcI_Y%g$R4(EZZQ(kJDGQfI>}5C)9;ag53BIv zi@NmnDV`&O#SGrf=#?;aTW|RE+XSnycNhCIsHXaSGEAT5f;j~9I<<>6i1bve2SJYT zm!i!1xr^=gPNN2$2WAyat~b&Jvk7*u{%+QH&0@9oludjab*f?C&4yJttKM2@-ef7O z?qQ+#(~`1&i9Clo$@{B`dNM<uHuj5Qd3%p1CzIe@jEdZV!G~DYzVpe@Iq($)b?SJA zvftD9lbQS9aE3Z9C~=rwsWO{ne)NPh)Jg6Gb&?tCBs0|M=$bw3War=XP9^9Ubvo*E zfPK4lkXBo2-ekE{I)*hVeA^zF;wDQg|IKWU{a@0-2eiZ0sm7n%S+P;u$fPfKjn!#u zAGbR7bJA(W4~^Nk1lk9@PT-|cCz&Z?`s;t#zzVH?Vt@S44xS@|ZN0vpor|kPmknPA zZ3R1ZE|g{M(UW=xj^<2r!5o5>NDO5O!+O*EJ0VB-i(lJH3T4ZR45BRxj^W!@!Q^_V zlgw-)H*EQOwkObs{wThHZ=+7#`fOm{pL5dCUK=<AMHQt?ZH>(ua?YNcz?FB@N#0*g z<Yb0A{W&Fq&Hwq{FFGw8IH<^dzZl78y_=v?3oz8FR#mRHe^GL?6ny$or&3+Fv*y#5 z_}xAYmkv=UxewGyW~h_QP^W}+tJy!DO0e4%pkLG}N77oh<-NjIred7o>U83w#;OMd zQS0TyoZ;%U{^4r&=*AQhxyU?snlUq!mD+MvJ@A$qI-MHiR;T_>Iz0<r&+h&kWnVnu z9PbWwl9@ta8rp}3@(Tc|s9#l>1|nGN`RmyHbam-`3rvemuwnDovR@zj(vsU@nl%^9 zAz0@HYgwZo1L$rFIl^Cxl55FY)^p)->h%ejRWP|8>LfGB@&jeFb*$D^e;V)|)JC0X z&QLbCdoh}+^cK!gr*`*3*@7i6?YE!8P@+!q{%WG0%uuHnmp8M&{;Tfyc_54x6}jhG zB3NjrifX%+z)+|9g`(Lf&y3_-ldGJePT8kLvXCH~Z<$tb&_SK#K2Rr_p-wVGojwf= zVzm}{u#jocFY45F;2KsvDK)D$01o7+)8dn%?Bk4JIxGM#prB3_TCQSQwhbZ~s)2U6 zI#uRlAEs?mkIXq~==5y3Tb%|t>2zt=dbVR%88YoK3<c^WGljr(RsSB!=C%4)Rr|mx zED>ymPbjm0S*QAaflt3pFyGPZ*o^xHRPXwMoM|qYL$Dn4*0G0sv#6KbK#uU2qD059 zV|Rw$@|!Xfm{l;j9_l1Bo5;1z7|O2noudX74d&aZQ{tLXmaX$ymE_vV8R|6IYdt%D zJR@na4OU~+N#0*g)RP(N6qUG{eHl5Ol>hT4&rp#|pE`m)f3%e3xC#t)I`w4-OVu-; zc+_~v8S2zY*~%KdnL!$d-{K5)lKViNWQID)40XD;cq1!6`YO#;4f;i$9BISZ?fF5p zVA2)NP^WDCsqj(tr`Z!H!Aglb`IlJA)<(S{C)=Or40XC&V-4HM|FTrE16K^4a*lDU z(?BPkszimc*Y6vWRqx>~piVMV#PlzIr?FQ%3X^*sVtI}TcBzWS_Nf=uU11^6R<I@g zH?V<0Bh{o`FwL3^<`67t$_6&0Qh)Vo0^|sPDazWI4Qy7S#_ISVz^sDF^-w37K~_;t z{JViA6^T(x#0K$g)T!ALja8bWkU{t0$~)>*uXq^ymCcJR+DSP>o#g%1L_L|IP6?T| zvV~oikvcbE)q(bklBHb~OT4R*kDagaZPe-2+}-T%lnW%=M>tJJoxGcGWBm#&BQsAx z4t0|IK%HcUI>`)msyH-)vB~FY*X{6LP^W3@B3Xt*^JzyFzNMp1S$rbdmx3ki0~6p< zGwM_@{c@JuL$PEZa*8w5$vY&3&GI=ws@%R{=u~ZzTb%|u>Ew4diB|Vk*qNwFzPe5_ zQwR*(<%An_UzVjz^#yH+V5yp1p*w3IVl%rm;cpALqCnfxr(;;sp&6WME||jwBRuQe z*6M<xPI4bMkz0QHCe>n(u*SC<^KH~AILjSc?&lU(?!+11C+cJ$f18$gG?G0n=}>i@ z<o(r*e$8<~o#Y&qb6a8jP$xNuIvGslP$z?lu}7U`hC0a%buyT!hdLQd)I*(QhC0a% zbxO(fr!l+Q-0C#gNvADW8nUTA9ccWYR}7tGrikg^^STl1+@T9g{I>z$CW76{*pMj| z!`R%mIr-4q1cSEQZ|`M?cGcrdbHN-g7!gw=x3#)psFR$tiQJdDjo5&mn_1+oEPNYv zid@u~&5D}I#<U6IeWFhNhBjtbMtZW_KcWqt<o(r*e$8<~o#Y&qbAw_0P$xNuIvGsl zP$z?lu}7U`hC0a%buyT!hdLQd)I*(QhC0a%bxO%}ohAgj)#*<sol1OF*}Hu8>AE^9 zA6`7z$xIQ`-|Zz~Vb@x-Z;g8KZ6es3k}9LE*0MC?a`U0J2?lL*_lag(Kh@?;bHN-g z7!gw=x3#)psFR$tiQM8vg!xTc&xWqc#<x+Ymy<25)#-oOwm-vopQzK~K^FE;@8azA zh@XZ|^8RW@zvj50PI8V)xhZ1&P$xNuI_V5^sFTic>`^C~p-wVGopgrvP$!*XJ=95N zsFTc4r<6?BY0W~nIt_8ssbXLxg<(sRIM~ohW{Q~pl6|&Ome`6-Y1f-?6TxmJMbNwc zA*}ewTzqJ4f<fD(`FF76jq7lxxnK?#jEJd`+ge>P)Je|SM6Oa~6s`GRD04i`&bLvg z;OX1xi=Y3nQ`I){K2fKc-M7<|%ZjtYL8&=gWAtH;f#!mtPV%@=DVKZ^#t(IpbEuQf zFo!zn496aIk{RkGGt^0ESPym58P-FcWQID)40TG$be-sOw>k}V(rFC;S@W$OTT2H! znJHrWXYScatDWw|vMjH`w~1h(pSRJ}do|WzT~<D{Ho>6ns#AN}t%*LIX)c(<1tVf= z<hE8940V!oHj&$(6ir9W*vwum&dj$_r*Thq(QL6Z+36Nbc%P_K*$uns#l2-%;^~dX z>Ll;4X7p>03+g22sGLi2u#<DBlfhCP><pITU?(%wNoJ^%!BQOT43^?xCo|MZW~ft2 zrt9Qb<5s6(PCE6w`<RaOOJnJ62{6u`WTuGeU)%g8t+Y8GU4E@pysp#pgD<JC)|@>L zZRe-!1a0f*iev|iPT~x8k{RkGGa{x&W>yyrb&_*7k&F5Gm_FFhnRyfq<nIr4nzHCA zZMPzx_8;)-h_2JXA5ZD*QuEZJt&8*h#nlPwnPZ?C{hADQGI9-Jtf-t*f#K?8<iwbw zP6iV>T%8Oia=1Fl40Vzj>SQoc4_7CHiF&v?$qaRp8S0dh={hMJ-0C#kNvF#PLTKsb zmr16@w?PU1iRItoB!)V*nYe)_G#pLsdGhcK5sIzoxq+rG(V6*1T;R+m7_?2=6u}m@ z{K%Q+f;n6;BBn-eYjwd;Cpl*mxsDG)=)+}w*}2eA-Y@F(W$Ze7aKsBby7Ms3aCM5m zx{kiDn#Mk+Z+6a5CwYH0qhE7eP$xatT#OZ!a;F!;_@PdE4#yOA(i!GZC!Jvqb&?tC zBs0`WXIKw)(izr6on(eO$qaQ$$#k8{g}c>hgp*ERlD$~QVQDSrj`<rp$xIQ`KXGw+ zc6e+K`fb*g2D(lOr^~a_K22G(T3ev4$U)mR4<eX$nsA0X$qaRp84*(>Gph@RI>|Yk z$R$4YVr{}Yu(Wmi#_Kxui!RI7Pl%;a&EN8s19dw7tSl?wy-IzNwHtqbs1wvP$3Qds zH5uxp=K_wySWzh#AjS`M(sMYbsFThxhdSvDbEuQdP$!w8PCCPSsFTjH9_l1B)JbNj zQ%a`m)NGquo&IvtDXGU1+AuQiNC$g;K18@W$qaSU#@K1b|4Os%^V4u`h*0P6$46-1 z?n_vQh8Os@O)zNtIQ=f>b3Q#EZp{UAxL`y~jojAif}u`w&L(nYt#LG&KT+tN?If>{ zt5eZtcG{D6VS9RZ;0$$|S;tNv)k&uH!e$t&lf1v0(XTl!sFR$dQtnDTj34SG=TIk| zVGecD8IC>bBs0`WW~h_Supa89GpvU?$qaRp8S0dh={k+v?N+CePC7mC^kqk@-Xyo4 z+xRCKb&{DPraw!#%G!M%PD^GD<HJS-tFlIAzbAEN<j@{IH8#PZ?Uyc5Y+?H=oM|qY z!v!N^YUH+77Yuchb2gE?+sKzy|J;wo-0jKxMV*54`>_@SpU~FR3Uh`!4Q=ShZj=g( z_bW7;@5dUW4|5DO7YubW#^nW!6_s<(fT2!CPK+t)WH6CKoeU;&sFTc4Cz+v61{3vA zCxeN4sFTc4Cz+v6DVeU*(t~bw`rApTk=q)wml5{(g%`|&oy-(5{Y5<+v(GW**+&1| ze47Zi<V-{M+Ity$p6L$Xwh0Dp1KaLmJ^RDAJ<SDkxL`y~jojAif}u`w&L(oCdLy>3 z#7Z_HD3RAkoxYcD%=*UmVA-4W<qUQDqi|!UOnOZ>uV2m;L!IRP)r@}4aY3Er9F=le z#rUC4at?LU8Rk$Yo#EJ{PBKHCWQIEF4C|pzI>UOXlgv;jnW0W8nXc2WIJY{Da?<Jh zBQG|7a9Ycc%QN}#;_4(bMNI#yfbwkHzEt%3ADwxQ2$p(9d6w71mp|-ag|>o0+wXP4 zSlN0j`KMoV!5l6a5mO_#wYp%albo}O+_RHjj8<vRij@uJ{i04sN0(&@pQCA;ef{|R zL!BlbDa#rT2~$1O26Bcv$@{Ar{hH%~I_bI0S75BDlzSn@4|URWIHstR&M=2M=?rtI zlgv;jnW0WP!+NNb&afWpBs0`WW~ft2rt5U$m|LAjJLxnwHiQ;hdYQE81=nFvCz&Z? z`m29gPp?iGKrav2&2vPsg!k*IU)lh6;&5iZZ4(UIX8EqMZgrrY=7Kp~Fe0W#ZfkYH zP$xNO6S=}0L+I{eUD=u95BU2-odQy=qn=Oi(*l`pa)vtDr>vvj8{dq7p9>DqsFS?E zn$fR0E~t~9>n+BLN;y?9)Jf0bn4(TP!yM|QGt8k*GDDqYhC1mC>!D6M!+NNb%upwp zp-w58uG6>EZgm>tq|?y*{CZ8jG?t;U@CinpWCmI&N>aiLnj<*_4a!=U=ZIhf176bd zb5z#d%OBbb25o}}Ze(+kcN?pd%upwp5ivC~v$|lYlbo}O+_SxpX{*Ws?4Z|NV|DT? z_>}&gYagvT*pI(I)G0CSDLv6~h3X&Gn={l2>X~Dp8U30Jb<%SS#8^=&*HSRlNzdV! zqE0%)9O|Sq%%M&)L!D%XI_V7Sp-wu(dZ?4kP$!w8PAQqLlSiUkoyI!pRDMG=?flM8 zPVH^UbwHhDhC1b#zMIY{K7<yZ+>Pf@r~Loyrq7GlXRXFefVM&>X#1}7a+bPSExxU} zU=A0Ih^dj=T3s;INzU0s?pf++dMbSrmN~dPuaBz}eH~3}oxVZq_8!I=>U1z{CvChi zz`m_T7tT;8d4DydUvpegCq0)a#)?WgDj4dd=Wt9>C!Jvqb<!E;P$!w8PBKHCbcXd% zC!JwE)JbNjlgv=3luXx&Tz9L}I47M_E^@j~GE>C#|KGt*QS@>7f8}6jz2jD=@lHBj z-&Ti3<i9{__wnc2;OZnZ)Twt3Z<cRJd-|z%JDwv#u{p$>ed^%Nt{fW(Z3Tn2(K&<I zyyX0RTXVr2E*KG?bh)k71;f=z&e=q6Qja<;X1qV^`cmcfadldlSchF6ah9IT3{OGe z>eRe)UAB7op7_l#+i-@flf1v0(XTl!xH{=MUolox%2gH&S0_D(V~VSj&M=3olg==Q ztCP%db&?sbPCCPSxH{<!>*4AoGhCfyhO1Lbrms$OAG+0Pf|E`^qZ_ia1rEm-72j4+ zCz&Z?`U^j4#D16bV$(7;;oC&8QfnGAQeq+NJNq@?wh0Dp=WU8)-pTNwh~|PhTreW0 zMs90$!B8hTXA`+Yc^a`ZH<z$%J`Z?()M@9-Myyze&Ws(I#~JE0>0Kjs_>UKKLa+af zb0>L!HKSj1Tu>)DN2Od=F@C6%oI{;-hB?$pXE^q#lgv;jnW0WP!+NNb&afWpBs0`W zW~ft2rt7rznOmJEI_XrstS^hHe3Kl@JqS*x`HMdnE-{5qg`!OEr?Ng3tn@?ir949f zOX#bz2G-VW{`~LIRxoH=amOaMYqWzi%>{F~U_?xf+}7%Xp-ytnCUPpje41){H+J<c zeDg$|8s70`vG;D%DaCeihB^%?;K!cl8XW(h*Fw(L7=4&ypt)eElRhrVVyvi?+awt3 zq~~x<Q74^Y4t3HQ=1?b@p-wVGopgrvP$!*XJ=95NsFTc4r<6?B>C_vyI!$uY>H8r+ zHu*?%vM{VBpJvoaW{Q~pat@WvPD-SgqbKrhBG~D+DqEZI2g{u+9@+{9ZI2aN!+QSQ z!?!gT%;AC&F*R~qs|$uY$vK<I6$tlZFPjf!zD;-V`lwUS8Y<g1t^n&6w~RB?so~!$ zEBNnVdMwdA6_@u{Gx{~h1$EMME5uk)DK|?n)Jf0bn4(TP!yM|QGt8k*GDDqYhC1mC z>!D6M!+NNb%upwpp-w58uG70uZgraMq|=|Ds<VerciS_CAL2ufI>}5C(?6_X4c5GI zN#-ALk8cyf&fcoVvJL;6*)o^qLu(TZ+K#u)VzXxh(_Aoz3r57$$Zf4I80sYFY$CUE zYz>wwbQ~-G(}QoLPNUw`V9)<(!PdO`$@@f|@;|P@)Rmv8cGk|>8lw+$3^W%Eb<)RW ztbIFgOQqb(Vp};wo%CGEo!dA=ophG4Z5L;#lg@DLQ74(9PBKHCbT<3IW?m0<(pmGv zp`4*kI!omp!WrtMGavgF&QK?v)xNlg=sM;6=~kyHPC709sj{Vm`%q8+oqX{}on)r) zE)_+MBrN^BPApTv9KKBin{bY=2nRw~4<DF9n_$p(Rk|n^zJqY4xnK?#46=N}rM6ZV z40V!oHjxXRL0F@8p=@`%B77TlYG$>tM_s40HGYSApQzLMb{5wCmKQ70y*y{Alf1v0 z(XTl!sFR$dQZAnuKh#Oip-wu(9O|Sq9DCGBW~h_QP$!*XJ=95OSPylQ8R{f6)F~y? zb@EOX<L+nb|8dgkZQmm_w)US#^1O#T?5LB>6h7>Vvi?gv%{|bAjc-?%Zxg|SZAa)} zGM^>H-{;#l!JzH)ZjmfcKt?{?nhWM|!HAd|xvkX&L!IQDP2`Gt#?d_5Vs>Ir60eUs z%}<J_1-iFqnVZev40U1;<LUas4*JUa+BkQT_g6FeHOB>Yl5<qbr4i$YI>|ZINoSZt zopgp{k2=W=b&?tCq%*9CI_V7Sp-wVGon(eOrDVEJT{F1VX{wV>1(rlo_!K_Ke%#PW zW{Q~pZ+D`o*Q}1L)n#*a+FUt;X4oFg#@8&thZc2$woMLiWk-Jz&QK?rp-wV`tfI)w z>Vlz8a?U1l9fG2$cM1NhBB4e3HtN)?#dca_)O2<*U7Vp)ma5z7=B#De&DvEsTVwQL zj)CTap-#}RnWIwfk{CbKNzS28I>Q|5q%$0Q)JbNjlgv;jonbxHNoQCOb&?tCBs0`0 zCDV19kj<@5)0}kjJd#8QO#4ZF2A(x^k{Rk$=Ry+AbzlJtsU6Lyf$*22l$>{&cC5LJ z4P4og53NlwXj^&ucGl>Z`S0vxhC0cNh^dj8)dfSH<eW|9zWUyz=l<Hmel+R8w^1jr zVz+72Y+-EZ`Oo~l;p+6#ev4kcGn9o}+H!_EK|ON}G^1aWp-ys+O1bi4{7@%3hdSvD zbEuQfaO_bhnW0WHL!ESn^-w3BVLjAIW~h_QP^Xkk*GbFcRwtX2PRsA@p@Fw9&`#&g zQ*oK0PN|#jqGfEo*@f{Qd>B!u*KfDeZ5w8>;EAI+L!F@Qqrvl7*J2Ym(}ZF&bGTrH zXB9=xSzR#HNzU0sZt>vV)aPj++uLI}-$tEs=h{P`44TY}#5Ldyb$b7F5B;V3v&?E5 z&QK?)XO4j;>d6ds(iwYdo{H=2L1Xh&TxY|R%u{il<+^H~it7x=9(9r#>LfGNNoSYt znWy49TbUfn#~5|eSu3k~Dz3BHPq*+K>ZG&jU(Hi-TF9+V)17o$^0N%<JTw*i@XuRg zb&{FFyHu2O56iHq-wWBZ+HhJ+1S{!Xiq*C6WS0_p@F}nf25redQS5Vyp9_;2>LfGN zNoJ^%%upwpp-zSNd9rtlb~Br2H~wBwr+^SI_H9lWo6;f`XQ)%`UtTQy^ayq@Y9N2V zs1wvP#{hMb8R{f6DzwwtLot3gB!**(tCO6=)k$ZVL!D%XI>`)m(i!%PtCP;K9_l1B zT%BZwI;CX#>h!FHTb*V&>D1d2LBDS(Mf&e(!iN`6#bt&%CHqFw1FIeM=CVMZL!GjG zilAF;RyKUad1%XDiUMuBcH)0RW)VDOtGQqf7mSE$klR{aFw{xT*+gz}o(MYZ_@9iO zXS_b@w6N?}I_5$N_PW9b&QPZ}VO!}y#~d2c|4+_PCwYH0qhE7eP$xY%OpFzkay<n@ zo%9@zDe9y%%%M&?!yM`)Gt^0DsFTjH9_pkstcN<u40Vzj>Xee{I%V{7tJ6#;ojNo; zOh0y<W6##tJlM%h5z~L$;|T4NxhVVZ-BrF#1RK~RmX`Q3g3Ybs!H3o+7_`mfH;dKt zDaD!Qf;n6;BBn-eYjwd;Cpl*mxqD-d(4U#cviA!L^KH~={_r?j;b0S%H0~Ym^M9*T z(>U7d-gA1dNGxZllf1v0(XTl!sFR+XIK@2J=`8qG1h0oW>CAJOd9c&j>A~i~PG>mw zsFTc4Cz+v6I-57zJlN^1)dcfkr?YgQgZcYIopk0qWeaDhlg@k=ng_dbmE7ty%SorS zK?P~WyBF<&4Pj_;b&{FFyW|(`G8dv90{!XOJAph$1k2H?5dB;&i1uAH2-*q;ZGG1r zpp6DJ<xF$I94;8@B)3JKWQID)40XzNvJg$@wT?E4?8W;<orW(gM4xsYMMr#^$QkNX zFKZzhbE+);J_mkQ40VEf<`|$(GDDqoHX<ARN(<#LenIkoZ4bAF-<3k0bk;UvIcK;! z=`35|3eIqK(ix6D>LfGNNoJ^%&g?T6@_M*B=`7#`>_4tfI$Q7v<_&ey*`AO^oS{xS z`<`=!@e3+#Yq-^Ewv$db50s~2@&DP+e4WorqfRnY#Pm05Qh|Q@I*=9<zYIqNTez|U zt+;JFJvF-xv=t26`kc5*SFviGX)c(<1tUDGC~{k?3x+z$Ih)AcE?1GJjz2&Ty=%g^ zQKyLyE70C27SjyBp%&^ityu+n-J=;jT;LzhP$zkRHBnDysFTk2u-QCArQGkdv-mdZ zq~})jfE?<ivv&37aE3bR496aIk{RkGGt^0E=|@iG^-w3Bd3+wn8S137_0>mnhC1o& zOKTWA)JbQ)34w-ABfZ_~6zHT=;c|`bM=t)hKf1DmmqwjrrikgERlA9OOvXm^WGMVf zFA*&B;U@NGjptCc-8^V37_{x{wUOqH`I|G%1#`Gygl82+ZfkYHP$xMDL!v0(IyAF) zZ@iekJOk5;I#sqewbyMun3mZEs|4y)Wq1>N^+wg`#fD*=p-%GtYNDRZP$!+83*E{y zRLT{4u!V1<PI@l7F62-roej+&#Tn|PGaP%=NoJ^%%upwt70bJk*F&9j7S(w@XQ-3T zo{xcfL!ES%vm*SCDC(rME@6>|PD}mV>NLkmC-|f4Jr_T=hkZQ6OaJd+CozS<bV06l zaArE<j|iS4221SaMc2-Osj?ZYY#u*)JkKP~G#AX_f)Sp@KFqdO7YucR_hRO3Ms9Uv zC0eqF`P-O~vrOj)-#2S{26X~f?MoUu@A7ueP$yvK7-&X4lc7#}ZeASxCOMUI*Oh&I z8+FoiL%To@b<$b6I`Bi<sFTic>`^C~p-wVGopg4qCj7D<>ZG$l<F;{zI_Yf73i!!1 z)JbROTkPTtb<$a0cEHdnrjc8n<~r$A>rqCwC+Af<=4JtZT_>3-V)}s{{eGYJ$PRyK zofvH9o!4~Krqs~ZV9^J@(+a2G^S7$GU=A0I@GKty-iO)N>Vlz8a?WPto}_wDYh_dT zdzovn!>^yvqn%-@P$y_xbL$=Y>{L$9P$yvK7-&XYlc7#}Zm?fI-j+(a9M-&?p-y_P zdltx{PCASE0StB08IC>bBs0`WW~fu!imBM1CQs<H@40wA)agj0RP1E-C-g>P*f-Sa z<NVZYq<1p?S|0w$J?b=MYdRK|>JH63J2z*jld>)Y3vZl6tI&MLUp=_d!mUp8oOHT% zZaD46uPGIu0>go;lgtz`{lFevufWpn&dhVfVE(77v$_j^@u9UDtjqqoY-;wGoM|qY z!v!N^YM>9Zt<?oXo#dR&$bIZylg0J^&bLt~$lYsOg$?@-(}y|%D^#UCTRt=!XQ&e} za||@2p2<)rJ(v3dOd*wWv8jQfPI@kFG%(ajXMICq3Q;GW;n<^2GDDqYhB{ePm45oW z9IL+$KHjKPuB$5jGN>Gz5eMy1r*0jZ(l5znS=c%FgC3~Us?Xi%;Tc|RUs+HLby{(6 z08Lut$!_$`ZRn)5`~TQG>+dF(w}CHKD5b^Sq0km<(Tg^-#ak}!8eA{#n&R%oWsAGJ zG&68<cc;OvxcfWLJm1N7^5&fU0T<565BoXKGqXGM$uqN?(0J5oqKi(!m4lf5Rboqu zcJO2KsFTVxG5x@P%*zn^ejW@FakAO5Gh>n$@q%0@%clq0o8JAxhud(&9Bvp9Qv-dN zxmGs}byDMO&bX5$kHnmw3%^H#IzgQE^t6Lb@4--_PQZG%w}sm3!P^IQ0%neZ;cU-j zsFRG-PGsV_REb;t9I89&B;(#iK^*ENS?w{IIYXT!!?8!5RE9dK40T%BD~Lt6Y!DMP z8mb-Y)UtOFiwvw0({p87&QPZd1A|z`8tV>D+W{J*PWyT8joS4?m!-_W8S1pWSrB`E z>qO|$@XSt~ay9a((<B$2ppXu}yoS`wnTt1#I;l(((+{l6i$$bFeK-Z;WNVX6BjL}W zV%eN*c#%=0dja@K8N&^8xM4(04fJ8=THP?zNsY5P<ElKEMEvT(w4hE9*Xwf>S+od> zKk5YRYk7kl@`Gtboq(BRU^v?|8R{hC!bWH3xm1aJx-uJQsFRE<RtMrxC&^}z9Gsy} zlHu5+PAWs4RE9e3?c>M1wnmXImMpwI)Tu~YKX&X@6xm`0jZr6`Nxtl@_k41`2k4GE z&1&YuZtph8!;_GUI{7~GW+UgVBuTw;ICUZ|JnA&rMW;E#YSTIMeDp$9a`UE9CzWYp z`hoeaNTR150;ffstXcb?q(CaTY@3sXOnOWHu9J{6!wqw|VMI&~^kL>&-7wTijk7u9 zzF5AIxIyrXOsEsYr7n<AAAA@pD(VF6YK^42Q4)p{bpmFNf#Gb=WT=yj%e5Yqpi11a z)1VIOB;(QyggDemvYs7ta)vrdhGUO9sSI^e8S3Qop+Eg~CaGS%1FR~jllRd6)caOa zefl_ftDsIRJNKl)k;(MUb3ifFDP8u~^dH~k`k}Xwi#k;++=%}AnOuKdD5q1WPHjEv zG{r?H*wLHAhB~QC6VngORVQGsIsr44Fr2w2bGTtdOpTgrb;D36HO}UYbJYprTy+BG zsuM7C3=C&`CPSTMTzs7*i?5Sp@pY0czD|<G*GXlllgd!1CuM`|+gtl6Iz`kBu=i@~ zqv+JHr=NY|03SuC!b6OhmUDa*oz@@B6*Fm}kD}A~&K`A|>Y|h7X<?S@^~cbh^ameC z)JbKi6ENGrI~C%Bp7A&$lmPbb%&M5o^)EuMlhrR>%x=9J!<pfRIovSR3EDGrQ74t5 zPAWs4fCc*Bh*=tNhWCrr3E1^9u?P3>gTL>M)k(y?Y8;w$Dg0gvRwrQQ7@$rnL!Bf` zI`K2lrToRerTV|z`e#1!W2{b+J<AJmSe+zWl@M+fusTVGV~^EIWvG+NP^WEPMcAU} z<6|0Ya0iXmDLQEp77#o-=26&7&agUdNmYcsOz#)t-x_X>usRJ(S%kftlQ%RX<2%l< zI&J?^m}SVnBXs7JFU|)AYkGLpX_|{p4T>gV%SxQ5{U5<4qE0H)#PkE(mi;!}Q{odp z1>$6VwCD6u%UI5APPXLcM_TCKDb5Tx%;AO+9;<24hnZ`2!%!zR&gP7}n(rm;TI?o2 zMx7vTed-5v+>z&;p-#Z^p1w{mt^Lj!>IBRj1H;*#$xtU5*CiYla;n6o>IQp7)JeuQ z%?NR*lVp3n;8p>3k_^Wlby6AXq%zd0Q`ztI<I{W8-v{ohQK#zNzSBk9?$ND(f8z{w zY8UsDu6T2ozUlgfGt`MDPRJU(yhbzT`OO*Xl<RdO_NwkB8hkpTbFn+$&!bM$U38j| z-iv(+*hrGqfp-$>q%uuRKd`5v(d5d$2Rx2ASwQnyB;ljekn3bWBFB;H9rto(xM2=A zjPO`ZgFeh$s~d(osc|-E+`px!lkt0w@nh5p;$DX@AS)tZno%cU1E#MaZ-Sx9&U5CP zV_>*pdldF23%skT!YZ_U!;hgKybfsZ;tr@Bs1x)HY}%~%oS{yV;n<^2Dnp%AhC2Oo z#)qZuuz=_@pz5GbEe`mwRm&ETvzMN5hB{5VlbkKww3zt5d&C*)bY^if<|w(6lvoqT z8S0cSds0^L=UOr(hxyaeZ-#i(X@-kVyWjmyPw(^5N4JIIk2<MLBQQk3DjiLt*Es|4 ze&S@u*8U{JKOcr%CtGyxEjco13ulHK=5WIZkHtRBT&o*~I>EV^aW-dMyV2iB;#085 zqD~N3wMIfcS4;R&3DgN#iXKVzZeb42P$yvK7#Pm>OolqixNe0(MXJQ@?FmzeI?1@2 z$3P|2Niv^RP$^L-$#CpZCzYX2Dnp%W_U%gteov|&Tz;RohdSl`(TBE5mP`+Se3vuS z>E9>+(1RP2=@Syef{!}Qo70jGFOgi|B1!}5lx0PI8j#0F{~Yq%x!7eI=~1VdE;_+B z&m1<?NoAUteqgRT0dv&}m^sy`lgdyhl@Wfae2|q~s~d(osc|-EoU2X{=c*GhSDk>F zV_-PjGa2e6<KpWiS$v%&i?5Sp@pY0czD_Dbom7T8rE48zzdXuE(MjtYV4pR{N6{(m zbU*vH`96wHZx<Rd)A#r&I=#J?D~29abt*mHqfWEj=wv?qHFYwXsgvtdakxy^r{ciO zC)=h@CNp(1nW>Y>Or1<->SQugC)cOqa4xP-#eum#6$fTsuc?#COr3zme=06><3AOb zEdEn*$>Kj1mn{BMag~`mndgE!RhV4B(xsWd@>IN8)j&(5mj239@h$I@Tf!p!m8asr zbB^M_Bjv9=6(3k^W`$!n{FSHTji-9lX|{__X9f<Vv#f!vXBzXD%2kFs0n6H;2-`H( z+=>GmTBRhrwa46w1DjF29LrM<_EV^n%1|ejp-w78om7T8sSI@jR`^CK)_StJ6$h5- zTv0YGC+sh9u>)3bLm_q|5!}hn6O{;<IR>bc%1|fC+6^$b;*$ByH@D)FHLPTA#U<NO z+}w&whGUP5oyt%rm7z|bp8QQe7B9rIv^Tfn8ErLbU{E2pdbPO~{~gqjMlUGH9v}I_ zuN4=&EhReBSvd+Y-=XGKymqU8)H_oUEAZ9airZ#;)G5kECwMo^anVU-s1vXpE;<1l z;i40;*)BS%40Tc&>ZCH%No8hrGW$TCATGp3Ctz7!bOP4UMJHh97@$rnGpiHC#n(y3 z#n(x)_&P}zUnj}p>!dQXI+^E(I_2wK#4`9=fTGj8T!k!sZw4qjWiR4qN$@K`(dnOo zV?&2p0u`MSO`lugL!&@NCu4y}o#wdcwB-CSx@pN?y4TPA`kcy8r{Ds^Y2JXB^kBik z+;SrJQ%}Q(Q~%YeS@O0mIkO1{xg{RuWjFf34}lqOn8OW2ozz^^NoA;$%221qB}Pzd zcm|fSWFy`$ZpANr8ctKLO~eZMcjXML)A}~UY4-GYX-zBSVReG`%rP)H=l@MrVW^X2 z(bwTSRaA+4m30(9zOJxQy&(>_;xd=ifp0}74*UOoV0DslI3K8!%1|fC9xfir+bg8B z_bX37&TuO(<A%0^@1J3HlI-NE;hf=CT(Uy9$2hm*#|@7<&2`a9ehcr<w=v~6Qc)*$ zTu>*;{wv?ce7ee`PV-!J>JV_4I?Be;ZGTVTrs7syWtyla-Krm^DITU|^}Y<@aYV3| zwGY$heG9O(v27t&Fv#`#RgOKc`!{EX8|HAs2#?h?HP`BfVRcgDY$C4UwZpX3(;{qJ zwHEvst5e#2hiTV;v$3<Qx^srr=|<1Pbe}aDD<FR56RVSYy{MDQP$$V2WHhUjWKWvH ze^bTkB-zldP_eK&Nmgb$eBl?XlVmvdSe;ac)k$Soog}-O73Kr0lVooU_#!V>C&{|s z>A@LRC&>;}hc7r|b&@P!R<k-K+vriJ`7Syw^UJ_C@Wt+0c~d8qX=3{O<jcUqcf6!6 zR}SQ-Km@y8I0H*xEDfvkvpHur!5}xq2!9s-vLa`O8|HAsP$xAPby6AXq%zcLSf>o^ z{DBOt-L(e1U)1S!;|%QZ$3*PX*3O)vPNR!wU~OC6rGtx&;0$$w_RKLrom7T8NoMyl zb&@PaxT%w5(T1s$WGzRSI!T6Ok2<Lgby6AXBw4O+u=zlpBr7|@)Jd{E`%RrB^9nR| zk}N#AsZ+>yk2)=I(MekQr#i_BjXJ60f;vg|U#U*D_j=T6p^HwWU>vQtFcXXYTAN#r zi=E0eQBC&TeoRZ%3uRS4P3Cb#Fu(T?Y0R1e%&`u>{%#Wta$981&*ntJ_p=Q*%;AO+ z9?M%*a;<I{Rwp&iCgR@Dc}mN5D$JJTT*{BJIz4Fololuy%HrBZafa2Y;L&Ha`p>d# zbzjKC>ZD$;A=*<J>LgkEq~Sb<DslOCRprOm74~9yb$*PCoy@K9GlDZ*>?Fgn$Lgdq ztWGM!>Ll6Xgz!IiusTWhdvq9QxY$Y7>@eXB7dy#5d%-#5Vkg;0zrUSZ@t$^%IxTY1 zscj+tqpbWtMxB2;g*S~lsZ0~ozo;f*SK79teX^K$c5Pb|w*UNE+Ia*lFsKvcR_%YD zUM*|>+NR1-CzZjaYMRQdZW!vM#@R$%#W92}3ffL<J*&ZwQKyc538P&m(<?q5IYXVg z)gsLPvog&yDUvhP3EDHqz!2@J40V!h&o*eEDsf3Z!5tgwB;yv;fH>4ivPK2r4jOfm z496aIQW@%`GSo>j?;u!YQ76d?U4y$l)Jd{+Y2p7GqE3?iu)t!BI!RV>*950d^Nx7b zX|an=vnQlt<9<H3T#vVRQW@%0>p&`2d0e{C32~kHDG;I9%-gBh$n6j9-dD<ThB`rR zzOV>t&6klgL&T}f;f4_&t7&SS)eS?P)Hs`n+ZUILHNKFP)_+!%AHy_iTD|M3SnL(u zKJ#%MevCS0-kgecE*WT9P^~X#s1vkjj)5U^RfalAM&s?BB=e28cam&byuFiTt>W#S zB*U>som7T8sSI_JEKj_>lVs)N?VTjs7jN$*S+aP0C&?n>?Va|V@~G1i7oE0tzeN3a zHzo1+PAby~OwF3uOSIwETb3NGJs)l&m~Vm0bl2_CF-;Sd<jf`*<laAe!#?<zFK31u z=5WJMCp8y!QW@%`GSq2*>B}_Lv#j>~BMb0;QKy%_muZHX5tj7H;4Tw&dcF4&efY$W z+{)3LGt>#%GsggRQW@$bS^T||WbyCpB#VD%Ct3VEJIUhT*{KY5QW@$bS^PUY$>QJH zNf!UkPO|uSc9O-vvvXYVsMAsxo%~|E)Be0V#ea;cGEGc><uyHMT>AW>J^FOv(?A64 z5XiqcYIWFmmaD*-O)$tkbF&(KxjqwTh8yN^!%!zR7j;q@>ZCH%>0`&9^nsTbO<%1z z?-zCQ&e)Tt^{!w)+@v07sMD%GJ?O^)1uS{5_2Ue6g7(ZYK%G>EI!PA)F{WhkA7e@u z|1qXy@gHMKhGUP_NoA;$%1|fC;y=ceEdFCm$>Kl8lq~*ZOv&Ou#?-ER)XDgx(;uDw z_xACmQ?9!nb&7V;>CMkN^xL8aB<Xh8U*J|;WtylaxgR#7Ycs{#vlhtA<A`AAt~8|k z(_f}x1vSVO401PCNx=q@EBx4S!yIlH;rW`T=33n_tWIj2O~id1(TKh-eV+!4zm|g4 z>7%VNJ(X)1J(M*mkHPA6Il3Xu*e~|roy_?-!|J47ui@<192cxkGOhwO@9ZS|yGJ#i zcU{R%TN>h?Dy;o3xK&6TCa>4*1FMs459b4`lgh9<Np@tvd1ohCKqx%(!>zbvqlW67 z;Z|I-oYcItlPvpj^Uki?LytNwbJ1yU)919O|5Mt1srcND|H&{-Q<+A9UG4gq22{w* z@;`$+7$O+?_>hk6n}%&_Ig2x!V33<UOFDL_#6->vH_YLNp-yTp>ZCH%NoA;0*rg|Q z^U3tA`uu6UU(~5^^b@)>S$5Vl%OuWFr>ZNS($_`Pu`5^M?gw>(_RKLrom7T8Nw#7G zd@e}&%N(m6&EW19b&_#|{UHu@lI--dCY+&8lHu5+PAWs4RE9c9R%i_@<b}fGpUcz& zwK+qbWZd&kH913_BpbV-K4*AmC)wy7O`Ugkot}HtX}OC|$3mCT`bXbe?xk+Uo5t#- zGEGeX!XgIE&><r&SF;$8BZAG{zLaLFd4hIcnFVqMgWUb66R?zt6LDs^VGcKp@K{Y# zbFFR|>ZHcmL|mcL20i!b3a!#N4L?SmrcW{G4myU`yqB9Z)amH`r8H52(e@Kl;cgUl zQm@w#?WqiPk}PA+#yo~9aRFydon+k0Ii^mMS<*M<d8m_QIQFQM%1|ejp-z%5%>qiG zPLd^9Z0aOgi(95nl6}nq=Zrc@_Bnqur%uz~c+_cyi%uyIE~16j-=uS@!yOyyq%uuR ze|U=d^mz4@?0T+oJdOx9`@me9WT7{kb{wY4CK%*)UzdVit^{$08|HAs2#?h?HP`Bf zp-yU?O~iS%TR?r=`LfpD@cayQYEfhX&DJ?ByWkI%5_KAoZ6SU4Fgg3t$^4K-y<WrF zuQ@KLlZ-pv5GpxU;%+B_51OtkY}r}({1B^?%>7UUt_yXN496aIQW@%`GSo@3`gK81 z)Jd{kmm6}1)k(56X+a&VPLgeE*o-sONwN(sTRU~y^2wu4D_wN@@v9m2tC^V|n+%tU zI;l(()BmYuQ@ZWs4tnSl3=t75U`k_J!T$}NlhXXm4st*2O2#S=fpr;mQW@%`GQwju zO=WOCt_*cj<7^`C_wHu&=b>->r+eVtiaKeIX0&v<Yc#<*s3xe>jx5b-$1w}&`*0Y_ zc_J6uGsnPi!%!y~_j5ihSX7Dgtqzq4b&_$HQbQc-Bw4=c&@bvF8IC>bq%zb=WvG*6 zW1>J4)Jd`@8S8R}I!RWsVQtP(C&^;xgLbHsWOt&QJ9Rq$!=p~CTy&Ca=AXTj+&`jD z>bRgzlKofqPG1u4_4KO;t6g-GMefgHCl`FwNgWr|NwWXSVwcI=qfTpFbm}yI7A;lb z1x?!uZX|KBQyDIHTFf+>B10jzCTswY!^Ljt<tg-al_G3b0l1s85m=lc_d(sFtXNU_ z!i(XCIovS9V_kEtZWu0hY9BTcHzLOjnlY#tt9Tsl;&8Duvdp0QV@t5@9pQ5=T<m;v z&ZHTu<zY3RwBc-?$W^Zwby6AXBw6)tWqBS|a+_o=&5y4uEa$^A{1_KIncJ&PdCqXL zlMKfm7dw^VVy7}(>?FI;5k4Em#ZI!~&*63n7dy$O1;U3<xY$Wnu-jjp;bJFQP~Qs9 z#jbQpk2<Y&(P^q*a<;qYWqPzuTi!J4q%uuRe^jMp?DRuFw*3lxUxx_RazRqop|}rA zu+-EEavN0eV?!4}9O|Sp)JbK8$7-6&tZo?Uq{i7q+<}+L*x6xzEa_fTr^;87vEE(N zvTGMWFVyL4HE;H!mp9vR$9zx#?U`d>IQumj>LlZSw1mAPRpL_k!Il_xl5rQW!afOg zlFYvWY~xWU$#CpZCzYX2Dnp$l8{M=qZx3~n?D1{bKcY^Og=K{Y3aFE0cU!{V4t0|3 zc869@ovi6S>a@;9r!N}`tKBQkezj8v-Zbi@GSulx2f|8^TTWl*g$D|#)3}6$jo*Kt z=5Gy`WD|-(ZlB8uSifNw&I~uq;f4_&%m2Qml52ItP$xCcCgMiyB5YK`7qr&NTKpKR zQ|lPQddB`s-=2nTGU`<6Fk#j9j-zY6U|Q#iT=jYlH*Al>QuK#0pbE>D4{lMeEA0MD z=mT|<eU#|dnlsc%G8}u<NoA;$%1|fCX7>VRQ76ehy@%^Xog}MU47S~<lVq>@!P^3L zk}Pgm8>ddTtR8h*@1m2m@=tY=6&iI?#|3qg?7vc-*5vl6(*_rv&aKGKu6?~j-_J4k zPAbzxHTiTqD_j0FfUTd>mm5t4+ZdOH9r#g*eRvLEsj~?Nxsz&yu=LN(#ZF~dom576 zzNV?n>V{!;QsZnQE^u5nmY{eD8(kgtY*?L2aQ5B5C~H3*Vz4?5OOT!Qc$AIJ`UUM{ zb%OTHF)&1XDnp$l3tD0Bog^z$uQboQuH^pC3UOGSWL%vE=H5v%9DA%zD#PleGOSLL zZCz^aog_<}r#SBytCM6stmfWHGM^RZ-bpg=4d&kIcz{QpHoEAPb5bz7Gw_1t^8+Z> zxY(%-bxPPdgr!JSn7$uglE<M=Tk?jmx-HMsRIPGBuFwf`gN7$!|K>`{nc;>x+%Upp zHBHTh>2_tPlNx6eamV|HFp}mL_1&3~AEQp~7l*JW38&Jz#qx88I)&8^Ve`B<+GE>R z;0$$Auh$UmsSI_Jtngb{IH(d=!GQe=>LlY5b%r?9NwNk{8gqt=on$!nsFTW2CzYX2 zlI@IxXH2-*NtUq(EcmFCWPLWmmvnHklPu+1*iYeNCz<cpCeFp~X<?5#ZF12mug_;1 zIxv`A%L?l}>ZCG_z_h-zeWeGNJ+xPj4dQV`uz-wT>Gin7bi_D6$Q2B7ljTgn_LX?S zj}14>;f4{OuW4$o)eS?P)Hs`ntKRJ^JyYR4jq~>6$EcHW_A5<%vpb#K2NXk{M*R9h z9ZS~694!oQ3)D%yUPH8}GSo>j-yqnVP$e$=byFu9_rNf9lB{G-*#4qUlHu5+PAWs4 zRE9c97Uge#W+&O_Ri;jo)q7;>B-!ggIA_#JvX>#|XLhMdc+_dLi%!zYKh;TAXw*p^ z7t~3z|4MZVDeF<EEiO7$T2`9XtB~3<ziT;eDpn_zX`-6ctW<{O9Jq*Xub+>{5y8rA zEX_h1`LP~hu$b5cgWMh`1DN;Iw451kn8OVtJXX`xT&o*~)k%%BiMYP4%CL#U)3WHw zIruSFr#TDDuuOAr&`KA8VRgFHp$toEt3zv8;GD5Ksn?4-sSI_J?A*W-JeTqpo->SJ zYydp#xvsF4Z(t9Di=E8<+#U8hSe+!pvB&D9GOSK2!|EhiqrM@$JzVT0+xw{yXSmo& zmcC>`&Tz4lZ0kVSPhoYEY_shz=VI5Gc+_dDi%#;B<Uijikl(66oz!tboh19Oe4}7s z6^}Y?`=isJFR1+QOG%!-pfaz9N1e92=+tTVQu-=McT2+*MR?)E#ZF}!fug>mQ8dk4 zGMYwjP0!<qV2u+QbW-L_>`UJ)kSiGER&G{;wHuRyGs6vYxM76H@()>*T&o*~i=7&0 z6LD(>MAHdfb1<(^SY&ardz@k!)%n-{s#QwG87_7mr$p0%4eHQt(HS_y#ZJ9mtWGM! z>Ll6Z%mF-?@)w>njNhW;{`?phI~mtz1}vz!*h#h{CEUv3Vka4nJuY@C!^KWzxY$XS zE`46!9xis0^`D!QGhFN>yLcr#XSmo&);%+vGcI<Lb<17Ax!BRV9(CH`qLcg$*gwAo zEPoFfbyCL#b&~AA@>{@;#vXOr>7rAMM^9+%{L^&pE%^0GtWGM^IM=i~jULh2Ra&t; zr@(w7SmodM=)g;(S^smrII{@`x#6=WuwHNab7r_<4mXVOSWQ!Nt!@}rCpFF{;))D- zOcVVY%N9=Q#*eW&y~y>1Zn6wv9}~i(L#$47K0cu(*66I%+=QHAbyBa_5bdc9b&@Ro zC-@ajs>GG7Z~oe*jAM`1@i?qblC{6TnKP_TlHu56by68tCzWA!k}TiL<-9$tPLe%) zyNENaPLf4;H-BwYvKt>)@;Izcl3ht+{@SM2%A-!ZTy&~=HjouceT<H?z)wb_PAbzl z=f5>KGk~@4(1L|^G<Ax3nvcC}Ihw@`gK0*cAoo(r3Cyo*U(Qe`m7z{5BVuY)W_80* zCpFF{;=bn$WE*OYW#?aX;m4>`f_{OlW8FdQul#V=iaK?@9mqOVwXoEqO`V`Ua|{e; zza~SSWZe5E8~K<}B`)nA^OwqH+|ugsBd@5FWEHDy<qUO_496aIQW@%`GSo@3M0G$3 z)Jd{q4VG|*I!QL-qWMeZlI?B+ZvoUvvhAI>6Zu=ff$cr&wA)1|y;vx_@ybdwrZII= z8R|6dVg*+1K{?iIV`4sxgrA0{RsOp?bDS8$s_%qvUfKkM+)V?<vZUeFIWycahZ{!3 z)Tp^uHw<-B<7^_XUExr+J*SP;JqjNdp-yB@D9h>Fig_2$%o*x*B_@=8-;;@z-gB3q z2UaKbdJSj4=D46vGHz5MQzyxmPc(IsEI6B~lVq1NnL0^^V~;wi40Tc&>Ll5$yrxc) zH3~F!k}Ty)Qzyx)7BY2`tYUdnr)ph2>a@p2r_LXWvincA+PznrKP{~?O-z5cip5y< z%DGus4VVTZ*r}T#%=e#O%$6LsrZ&MKcYtj)8#4x&;f6WfFw{xSMV(ZJI;jkGit1O4 zC0N{_<@lb9_lr99epQS;YZ1=o#eL^}qD~ne6=RmD57ani=L~g%_RKLbgib0$oh0jL zH-B1MvZ(B)PLk!`Z2q*gWJlJUKP@d8jy>w6GSo?BsFP%4c9}mdEm`&b=1)sYmY}q$ zlVoM=tN0jTb&{;)Idie=*~_C&dtG$;(9fIA>zcq4TR(<3jf<ViG|n~cpfx$Wax*Er zTLiQtf(2*rX4#&#XT_g-J9UEGk_RJM@Je8)lgdyhl@T$8Dzmy_sFNCJ6LDePld~;} zy0N^s;D6AdPMJO=XNhu`VyDlX=I4t#EjpN-txJ4>?zF%=6Lo_2%rQWnRE9c97SRKg zpw9Dy+^%Opo$Ctw+!FRlxY)_uh0S(whKrqKIQFQM%1|ejp-z%D>i`<#VkcS7uF;&~ zVkg<PC!kohFpd9{EM*Va+o4X9`S5T0$i;5@0FOHDbJ3|^o+WhYh8{HSTC+N-Oygbh z6REzKMz^lO?&nX!hl~i8vit&Sy*Y%fxmt}gn_!Sz=G0i`6IX*X!wqw|VMI)Wnrn5# zP$xCcCgNTvTtY{#v@!2-75Oph^!?Hjn)0lbUC#&)GEgT=!KF00o|R>66U)y7byBa_ zaQ17C3+g1}MjSS)lVnSCo7G9Og4@mNB-y#mW_6Mb#~yW38S11m)Jd{w`^@SjSv|X1 zoh0)qZ&oMCDjqhglVp}lW_8*!%%e{GU36-lDgiSVz9TDE{lkYBtCPw!G5rN6CuH9f zXw?63TYgLgdwVk>>zK)(b-hysas`9j5mA%bzYSLN{{m{bVGcJ8by9OtCzYX2Dnp%; zMrmw%)?jvWT5jGx>J;=wW4~uEqXmOIaE3bBtO=O!zl|(cNB86mb%OTHF+iPEhB`^M zL5vj@+DW!Zu<HuLF~#bn#$k1m4C7EIm7z{5L!BhUez7`9hV5Z>QW;h!m0@*?&t!GF zKFXs`2V8UtTDplgd}Alaw@2{dMV(ZpanAn_T;x_dGDjDhV@MNzOa#j?Y%6`1qa6FY z??8TR6AW_SG@Qv2W-q~y4L8i;h7mChYOd7{L!Hz(n}~awa1%Z5RfQ#=-;}qHI?<P# zXo(Zo>0hn7afUkWj^0cwPp)BKAKr*F)JeTw!`ZJnE~t}?J1@qHDsfaW)JewSn4(US zVI1lt8OEVbDnp%AhB`@x?V(PRVSA{P%1|ejp-%Cc)alCvk2)Q6(P`Ruf7Y;T0`_j$ zYhF!ICzWYp`cLz}_P_4;WcIWq+yN57a+l7-{<3do7mmOeOl^WeE*Z9teatY1Gs6vY zxM4(0jhbt9!%!zR&L-kA@5smAOxen8`QQs6s8fvv`Pr9o(QIgV0?tsUy*=`?l_$Eh zyX&B0p-$@c8qR*raY3EbII6_m7vqOIsd1>2WEh7!Nrq#OI;jkGQW@$b8McQyNrvsA zPAWs4RE9dmXHutJ(>>}G<D!#%-tgzSlYI7uI;rD=I!X3ldG18!c+|=6qSMv&rP%5W zXGzJ{Vf@{S)k$TVs3xt7m1gO?)TJLv*5SuQuyLd``%temyL1@d={CV2cT=iaY{G*K z{Mc~A9Bvp9?{qcS>V{!;QsZnQZg8_wY|nr&*7${mw~y6n^7&HiV)s+@bn=#*VRfor z_%Am1pKUQKUew|YtCM=YsFTW2C&?;^v7*lNgYhdY7*;14hhvJ>NivMX>LeM)VRcd& zRwtEVb&?F*!|Eg%wujY8Wmuh5hSe!Plhw(($fHiwMW-Bz^06xq60v^UH-}1{RHljP zU)(YutJz=%8(CorKPH0Bnv;jkW_#K5aqvw)n_!ST;m9sF{?cg93^&Z-h7mC}YOd7{ zL!Hz(n}~b%H6J^6Z9hA{CxRcNPUBMtuv`6B^Y6D`<9(t|t4`%-Z_oE(=>~gohB~R& zYdHHg#|3p#<ERo>Qj8z!q{g96l3^U`BpHr9>ZCH%NoA;$WY`|+BpJ4cI;jkGQW@$L zpGlp@FY~AqbJ3}2Kn1p^@C|Y}O-JY6NoAUt{vmBGtaSk^eV1c8k0XK|X=7pKtu@)i ziC-aCFvu;qaXH)4$HAH5hB@3YBBn;owYp)blNx6eah7})Sc1qV?DFfaykFF*;_V7- z@7-H;X!b3fp-x>ghO%d=JH`CWKbbSsNxfdf*{?Y+sFRF)AjXO+amximon#!2De5E{ z#-UD<VI1nDGSo?BsFP&a9_l0+wud^Y40Tc&>J*<zoz|@JsM8@Ao$?*HM%$10PRn#S z#fKLcJC$i-`b(X?MpN&a#1@p?#E*$!xhGtt^^0#|9iren$2P$rw{YYJR_WJB&I~uq z;f4`0HEOQa4MUyOIGc$3T;T>i-D4a3Rt3I0jXLGeev4N1jb>fXeB^ziPA}{?>E+v9 z*-E`OXQ-2Uy@s=2b6ij-HI6EAL1O$+Cp8Xrk__WeC&_T^Q74t5PAWs4B*XSlC&{oq z)JbKilgd!1_)O|_e3M6=4!h_izjX2E3o3uUpfdL6SsMA-e2n>Khew_Mb<s)Qt^B#O z`*UXp-=K*9je=DBJ?eDCMJM^u-=B|w<;UQ-*s0@!i=AZum5+c+GmknQb<wH!p?oZB zu7vg>QwoO3y_3o`vDX3iJ&nIT?r2UPN1QBTb%ecbiZqbxWD9%zW1m>xi!;Lwa|qUL ze?As)sgM0z6Nn>XAF_2#KDPH+q<vmTU{=APU$Z^jJE_d(j61cYzCFtuKc0(wCx{#J z@GpD1Cz&|Iy%Vsmi?i78`sL*e_fEjfF+iPEhB^T|8@nSW#3zX7QfI#@sxFAhT0D?5 z+&e+s@HXjUO1}VxdnaH?M~#nZcL8#7@1*vDdnc9Q-brP+ck&;Yp3Ukxj)t8L;O*hw zsrTxvtjdsv)c<Zi&T#MK{W}lq-{P@-%oxbSy;J`!d0ByEex$_3{G8$5X?)uJ%==S2 zONLcJ&L6&Se9WUx$6R!JQ8^t;bZsxqd9?^{8n@yq)5P=xYn48RPD=^XK%DGZ(!(@q zgY=N=Wber_T6nQHXNDW*5Uf_Rbga$iV>H7uh$CWZ9(7C00_`Vg?M=X}f<eD#d#IDj zY|gkF`TwOcr9o}f3F4+rqjXPjHqQRH73XZ@;{$YLBN$553F6E#Fr4j~40VFIWqG$# zI<hd&rOvpq$F|T1e!x&Ch<jdtEq(n4#uRk|_MqTqdgwJU)Jg3Zby6AXq%zcLLEDpb z%ncuwaeD#Y9_qCG*h5<5K?3&r322NuEpO|^DrUMv_Z|T4P^TqXgV@gY5wv+>$VHuU z*388Yr<hK?5)^joH1Lc^osPTcq?(U9sZ0~o5A08M`fpVy<B~_6PPpil@m57PFn1EV zFFX%76?IY>>Xf@@MV7yq4?R3A1CJv@vC@e-+n9#>9E5k4O|S-Y!`R1NnP~rCU-`S& zaKjveZ5kWKvdqgutN485aYVe+mo^JylWXLp^$G&B3Z}M))k$SG5tr#%7~57m9kncl zpUB4QWGh>d1-|v8=NF{p46D<Zi4~cxhc^vBmYFlGPU`g<qCJ&ib?P~#3fpg)YR{f1 zH_xRaZrq%zY{buM_A85Wafa0?&@Y0$4*ol|z`ro2Se-&^S7RCdQ`@^t0EX2`?E|Zm z%CI`A469Q}NFMh2$0OQp4QxKJI$ixykS(ztr8yU8=M1Y;!}n!agA@~KzwcQ&!|HV7 zT_u)iUR6uteh`P%smig+tWU`_c3aI{&gw*Oc+}~ni%yLT)MHnEUA5PYgGCH=Qkf>E z|K#nutaR50_7~4H@;D+`{~2{z-1B$#t}kJ6vI)j2)Mb4J{I)0m{GAWC;f6T`>l0F! zT{)b9-cS64#}P3#JALc2GB>^GxBy^Q!PNFpCzaVmT(x0!S+lyI?B|&mKNr;L`JTG$ zbg>uq9ZynmhB}paQ<n`r7i)j3!|<X`>h&6;J(ZzO{`nd*?MP+&$zz}d6>%%V8Zqks zIwtKuz)+|5aZQ<b&u5`)cEQx6PT!L?W|r||V`{eshB~QzpiU}7om7T8l}%clt<|2; zA3H#8)G6?IdG=HPm(E`filI)WD~Gchl}FMCai9+BbhkuZ=JU^XOLSR?L!I<&^;zBf zwGS@*k=v=$(^!u>opRA>SkC@zd>;pmxDBU?I;l(((|__?KejF60Zmy5-ql2~f6nz| zWp6#E2WI#{u3%3#^kegvJfoxU{pQ1MxM2>#7I*H))|`D#&%cE@BBrLHy)W}V_L7$M z)p&bW!PNFpCzaVmT%x1>SoI}OXyTzTEvQqc2mRQajE`uimav~fok-&TY<B<q^!-1u zpF*9~>or7sDnp%W^Y%t)M`_dCrcRch{n)Fc2dE_!rWJMCez`vz_GKxxyaa|iwa(g~ z`H$H}yIzA_)Jg3Fby6AXq%zd0(Yb=`SD#vpMMHb2)6{37tW~p6_HQq!l&Djplg-(R z@mX1_NjW$}ogTd%&5GD-&_<ttp-uw}M6&#yqUoj9d7L^Wd+brC(=Iwq2&uv<4O>Z% zUWKMnCzWYp`jcO+%yu_eOUGwP%j1Y(C;L@qExb0->pftBu?bcpdu3MU;#OLF+<QJP zh8yM(%y?CaJv*|EHlGb~sME}Wl~{v-o%HDrV5pPY9_pkr)ai4}%Ivc5W_r6}LVhl& z)A$vYS@u2a>FkOyEvVCzxXSEC=o-4D6)f7QlX|_Vlgd!18&9gT6az=m{p~?TDzppP zQjIlR*@I4A0@V(6D!U?r?G6s4ZP!B_>J(Y2I(zb|75ys$ss!q!_JKO740Tc&>NF)d z72AIzCoA&_`bC|Jme0Yq%t_7iyoa|u>QwT3ac1f8oUU#LcekjM-_yD*yp%V6x)<V5 zr;@d5vPV%JXrh>GPMredJnD4DMJKh8{#oq!TR>={jtlDaUt8>Izw@ZmSr?s_SO&8a zwdULVbTOYhsZ0~qq)6VuY@1KC{X$LixzoNBgV~U<_4eGwQ*+C0BF^{mAeOP%cKgqK zP_Ya*%putAn}gWcq<ie8i$EL^Q<(4IAQqDMU;CvnU{=A@_OLps%qHS&i3hV5eKy*A zYUXpNa#;tno8GJJx67H&oyry%%wm@<u`k$=hxdWiNxfdwNoA;0rA|ZHSdzk?Xb;?A zQ_=7J!o%2`A!}j=j{t_%$+~C+yHj;tXs*2Q@BpjR+8x8#-3;YoI!}N~g4Idw1FMtD zusW#>tJ4`rL$>w8cRKxZ5N{8w)BGQ;*`ibz=|LL68CIt$345^&S4Yx2|K{Tit5g4e z1K7{P*~sN~`8mVtv|-p_maK3&%ZwW4bElqPJnD4LMW?qDO0rBH*3#b_V7rRdNoAUt z{=8>Ousac(>FaMW6hyEeiAu2dop;gB`(E*(wF&n7@8WC?IY6U_T;t4e!yJMw%v+rG z&T)`Nj)OQNrY3k#F?OSxon~JN%qp1L9_pkrn}|Dcxj6IwxtqS23e$&+-OqL<SnF@w zXpRQ3wa3No*pCvd(8i7Q?+P$|sFQlVhG<V^s8hY*GOXCff%IVxP?n0gY1_&&d*-Gz zQv+YlP^U?03Ck4r&HkVV#Gy_@Pn2VA=T@eP62e_3>ZJC8I;jkGQW@&B!7mA0-#H6g zHyZjyo!Ft&EOB~Y)^jTCWl^Vj)$_5FYaY>dsgiSsIt5K4>`>RN^z?p+L!BDf%d@Lt zeQC3Ge$K^i`Y(?<op;emU6=pto#bMtjtlDaU)wwFNxaX~uO3`*(dpB%sjO$GV>EM0 zFdTJKnI@`9!P8S&=bR^~w*~GRh+vt{O=Y*boT82q=7%gfE>2|w(w?C~F<v~*5OFGV z2$p60R93#<S-SKX#1ZjM@78WAYybQLC9%M)f~mP!om6HMao72|On-2S&T9?teymOl z&rD^<$Vr-}C2TpdI+Z##mF1g#oaUZje#oL;uOZq~8S3=5*;Mx2Zzs)j9~KxY;^tMJ z$|^-|qU#C(!|LQHIF)_NwSW$*4GZA^s#DpiY<|IY)Da5|tCQLXRwtEVby68tr}ux= zWv%x%VB=Omdsv-{m+Qdx-6O0=%|OnuI%yq8vWmGgGA(z0&agUt&pek!TVL6?IA8(9 z>U6y5Y*wJhFq*lmx!7G#?op?UE;=>o70J>JNz9hD%EFsQom8fY>8}?W$wn>pVj&C) zI1#LM;z+i>vNy{gngDVI`*qpI;+pxe;5IM#a2sxzL$G9<ZEWm!A6Byu#1SzyNo(2I z=!w4U+hSl=!PNFpCzaVm+`P{=mgTxP8{7;QHq@zR&PaCYXHxd<cT#?Ss8hp;NR~T^ z7i;tj_IvY0u6n(O8-_Y{+Y-sFS)S57P2kxZ6>))&B3Xmox9QW?aHohm<+wMJ`L)?g zgC7DzoeHKN$(kp+LbJbyT+~VJ7j;q@>ZCH%Y3QV)?C7YD?06XL3sI*TU8}H;qZ_bn ziJ@QAX-(#itkA;{R?#aRXQ)%(HIv!=`J-v~AYiD|uV&-f(hvXAZ1#-K#ZF7@QKw5T zIxSB&n~lETgkCHZ!kb2&RHljPPnTvkyOq5;J?0OWLj)U~eKtGZrWKu)2TtE6*q}VK z*_manY1cqls|`2IA=s-_v)N@^J6f_B#1SzyUmwh3r#E$_o5O)w1ykEYom6HMaS=IZ zv!=<d^skTRXLiXm&t~1$wV>Z~!p%AAv@hjs_NIO_+J0C7XQ-2Uy@qH{WvJ71-bb>^ z6=+)DV4h1w+?Il~S%)UYX}66<I76MrHJi<{4@^flUxG13oi3M{&Avq!qO%qOL!Hz< zP$!k4PAWs4n*GzA&AeNbRg8dhL7l388qTWq%fjY8gJaa`T(?Q=?S~uGu?(sh>eTzf z9A-}$X(`qK80z$T;v6>a#6)}Qb>?SwxiWgx>9UJXALDd3e%ul|J2N~_LY-8miRr%; zs<VwLR?zd!;GIrTi7|vVidjb=Tj4p8O|S%aEbLdQEi_~D+ngD0m_xAqJ1wk(|5kc3 z1H=(AHNR_FShD`x>7Y`;tb(cSp-w8ZiMXmw30qNm1I--#k{@Gr>K;p2T;yt6X|xt5 zbvoWfXKTkUqa~t2S=33rUPH8}GSsO;=gRC}l}@x0O~rGmh^uqG3fnp+f?o9khB`$* zi(qsAdTL)=6DlC;^ewh3TUWj`trY_dbyE94om7T8sSI^Ge;_qW;GLCqD+&FgPNnDP zV7CUPV8x2V3W7SV&RUF>_!3JGEP=LAr|k11Sk~nq?d{S-9O_hmR5f;$|DfC;pVZFk zM6!F->57X^<2&;LKJpc97z~fYP$!jXV){3hiez6my`wK8VQ)eNJNnbca@_t*FT|OP z-S#s!mhtU(+Acbd54R!WROS%OzTU>lhWw<%wm}>bQ**KbZ!bV&dG7$T3Z~|wPAapB zxUX+)tnark^x&4C{1|l_n<<hFYx<FT?S`qs>SR=mWQ`-=(vOFrilI*G^%|l*m7z|Z zu12z^b<fi1Ua-JW5mz?TNcO12VOo18EMllrjuNBTtV;%c*A(JVr-&LOnXzp@Z5#~y zIMhk)19egv>ZCH%X=|>(*!1Pi*sX%l9_kc&C7hKBtj;dSnTy?rrkz>nhrBHF%XB;r zb;{v2i47gqknYO@-vmLOE)E*U8s1z-V;5y|>eMN(N1d*^=rm@38<zCKIC|O_ZW>W1 zm1$!7E1qx7eA`T=mAd@m!$<_nd(Fy5becn>uHWa(CRpdUt=Po3i)iZFr#Lg*Fo$4Y zF12F$k}je5T0$J*FHPGzz7;bL8ub1sU{=A@_E0C4*+krrg;rLe@H{$oK2$c;DO2s% zZ0q!y^vc3FoS{yOeA=*SQIl!I$b?~1C-r&_(Vogsr>#3WvWVm*X+sNqMoC3n>Q$Xt zhN&57nmwQc>QpeSCktrY#r}_|fT&Z&Bwg8sLJ4WAnNSr`C$$gMNoA;$%220zt4gss z`*O0T4<QeAI^47(OJ3cVjS;s&Se??$Y``kCxlD^chdxoKiRU`7tIPA-Bd;Xk40Y<Z zw*zaGCKDYPo6M=x_#lruU31ZCf-nE?1aGU*z>SG`)2NfmG%@|<22W&-9Svx^dawB~ z62WfWoxtpMJJFGCE^%fP?8M&_*cmc_?j66MGs6vY2v)Dk1a{>4AR4;>;s}3f+U{Z# z*!^%Dt#lliRWP+Z)JbJF5x0IXZ?9E1`p)+ZKSrIR3ru9YrnaKCy7xFko!Ts&$o@TD zht5p!iL-ekSG``t4MUywHJ-|j-n(ocw*yq9A}%~?8jC0~*PeVJFx08vnpw<i`{>X- z5inh-)AnA|+4ZpI_N${|T2UvpU(`uusFTW2rwXsTv*U~Mvwka}U({*$x*=>8|HItX zt7)8}PS;9}WrtfGqTTZT;OC1v#T1&rCgxdd39SSSb!u9E5^G7r?bT}}aO$)s*rQI@ zU37}>wu)VtY@>~8z$u_kD$~UDS3JLxjjlhQ-WUnPLj-#iw31awI+K1Idzv$wU>&Bf z;D7LNKD8S=I5XTZhhTZetY87{7SeIMAdc{trk&`xg1u|Il>UwbW))0r4|P(RO~hFf zu4GB_&87o_kMd*GX~p1`EN$;8^vTehoS{yKKCfhlON^ysOTgO#byBa_5bdc9bt=7f zEz6NBke+`I6`G2;MEBOQZvB(fw3C3LPLCgLVm0zqwHFG5sYabD?_1CEcYSFOYz7+x z)Jg3Fby6AXq%zbgMZqa-XTcgw3xRn<ow8MkVoAb-+59r!`MID@yAv2J+w6DrqBp#K zP^WykSF(LcH&}Y){=gaPWG}dy_58fh-YCy^=bu_VU(%yaH(YcYcq@v{ylJJsBERsa zQ74sYV*0xTN3nyf7wtB{!Q+TvsRqqvqw0>Lb;kY+xq|gMKZ`9rJc(A`uz@qf4RZ+A z<M=H0rPvgD(GGEhzcj7+_F1gs$?0_O8(>z!)b>y(mDxnx=D%mNVvEPneMMvVG3vDX z!fZD4@K8Fr|3%JFrz=gPSf2v_(1`p`I76M(>or7sDnp(AnK+*%-Sy2rc?(Pp6>($Y z7O;{1_Shq;14Esr4_V4KJ-l4uUKx1zqfVJ0EM$vXOt$ao3E$;Hozy;1CzYX2Dnp&t z-?Xt=<x8>g#Xj@)P^S*|aV+juR@Oh_9cQRhmc!H8{Igf+*eP&}f;#QlF^knnzs^GM z#c_r@?e&_&5>y##pFHrrQ>QoOJnD4QMW>}}qFA&s%)UA?7>zoqOcT?8_6xt!{j}8n za|!H|h+t{;*=%e26ZUWd6~QK0m6@~HwXV<YseLwaX1HMv!S>IY#k7Do_6a#4j_?;B zcw-g|kNjn?Q45$=Ftt6@No6(>H#^;IRyfy1d$~(?evCTRSvZ@qg*)xF+g|1jb;_JC ziuHIq#~#`K8E2@IdcB5dPi3f6>96xyohx3JhHpU$D&ksBTFCAW9A&wh9mWrJvduAA z^WM3LtqoKn)G5SR#OUjdmbR<m3puEh+6U^SGSo?Bs8iga3GDRC)GR}7I2Y6@e9}~w zCS@F*)8Qj$sFOW-Hp@G0EKR-m4QHrR;}KI?YrmdkYH?twQ>KEm*shb*a<R@Qr%su| zJnD4IMJLt#Kh=r91^5tanmR71(|@fxm9FMdr`s+%?a953SwjlbtC_s`I|+4CnMPoE zn?!A8>3)=@6|ccFCL)-gU@Pn2t_E#25k9iD3D&jW7M8edQ<|hDR0+cka|pJ%#}-y< zbqm_KAH)&<;y*TK-NLq%>p=Hy24)pZZ4axH%4{NT+MO-zUZL8wey$7r7^~Bv>RZ{h zz)G~+sz;n*bvn6cD|-|C7u~u5-ql#0)ayl^RE9c@sk@UEYeemt9k9iwqTigucd=68 zQ|zhk1H<anyz)L4yLxqnSzX``5UbPu8oSxww4ps!Ca6MKozy<CI;jk+lgh9<eQ30h z?To3&*3E!<``==hbvYYW$e%5I0=HFIomwQ>$iDr$NaONCrNrtqu)!v_uYY+`dks`d ztWLv?t?XXA(V=1W5;?cxjca<;>5hv|OK0w68&*`cCw&3K@xR4RVVao!R=;<!Oz(!< z9l@qfPuuTcgGVp3zZid&pO#I;b-S>gwd@*WZ<-qRFoqlE5Ukgg?QC?%BlZkI5J&h+ z(`wz_&bB<hYM;~&m{l;fJ=95MHWAm5>|k^K*V*?aKhKX*C%Sb9yZdH_{q)&~oS{y` z{dcl%J9^lkdYL+@V_=B(RE9eF)ZNRne?Al1w;N0$6>&e->|>YoaLdXKz)+{U4`SHU zkk6J$ui>Ep>QsN$em4Ho7)zcMpxFNwJ7t_vC$-=IEp|#A>Qt@vO4cu|AnSO@)T#IB z_3ZvxZ}u!Dw2wMzmhJ4<n|ZW<SyQJ3yEn2sO&60(M@^l|yx+#w^ztLDys49|zDJ$z zy66<Xc(FbtcL?3L`xhS`)JbKUnErf+Ch36>mV}lc4L99Hux?E|=o22-A@#Bzhg`v; z@|M*z#TevP2bcoG4RZ+A=t&uUV90XPX*k3Y{?fFaHOlC#Bi0iC{lKh(sqLXoDzk~W zd&`>YN#^z?y$2oU$Eefq1tavI+umDJ?1l#!sME%5GxX{+655ZyglV29a@FfK+%PyF zP3xR{iQc!<UV5r6JSwGvvB^vHep|28W&L6Nt_!w1%Fy49&B*SSgQ-THq8=~N{lCRg z`qjL%Q~O1oRE9dK40Re5(nHUFDy^QKKIeU6bvj(XyWS|wSFe8_w%Djs-0NYw)q00C zKk}9{tWKq;Ptd2bN0wUipoCy`I`e&&e$s2W{fJF-RwtvWN1b9_begq!qyDtpM0@N# z7z)%$Wg3B@{627|{>$H=oI1CU#}UDHpJ=XUxp06qU9=2x1<QCRyY86qo}3Mi;>>Wv z9D=cl+4W1aK9P_%5J&h+({At1rUwW7BG2ywvkIoRhdQauCgSG5iO~DMJWGm4F5$<h z(?9>(^qrF?lZDMTa)vtfAH6^?>UYLcqVgfmP$%_z4bh&;P^VfOH|Y^^8)^4xS9lB+ zaf_O6*6UWiMfb0O3jIHwhHlf}XDZC5MnC2Zb^82dv;OJ&7dovjJZ8n}r1pV2sSI^e z8R}HEPX~SKjcR(AC&zhvsMAktdp*tms`}z^c=m=m)yXhS&se;$-v2qgrBJ7Z8Kd-m z7CVV-4tId4(~7`ldi|HLEk#PlI=AA-tsZr9xajn|{A9hmuODr<>kDrhbyArorhjdV z-umh?xh#bm$MQHL*o+HA-(N9;q<VS+as?|nI)nbQ*fjFx$^p&{H_RbeyNC>W=Fu}q zU>w8|{?fD&d(-RTHRh6O`3~}9t6*w-sFTWUBF@sOr0#pL1Ig=aK6fhiyoo;eWCG$9 zZC0mt(}(HJ+P^>eekbgwP$%_z4bh&;P^Z9)ll5@FEp&6J`JiBM)hYV2h>P^R7u>L; zPUlBV(^Heo%$p<(lR9-<J4HXV@+s}p1RfrsPHG>hlgdyhm7z{sA|mw5kCW+3R)emn z(^z|Tec{B!`leFwjSSQ&?~ulNC3cl$@_)nG|8#oYT~Aj&D_Oi1&I5HCQ*)#~Vc@!$ z$zDI5Iz8>+QKx$@ItATasu$nc+#VVQ?>N*+Wty1&v;m{_HP-y(MN6|fwR}VLU46Hc zS-vYFSHuOkPpp41V#&Qh^EorzFo$6OWJs)gPrXkHu7x<%$*7S??{?!E3CXj7Gt^0K z4|P%*>J&LMM4xv35ZN{&n&)D5N|L0#p6t|k(xw+Yc);qkGi<WHzuyf@eLuz->ZD#T z>ZCH%snC5x_bIlX{yG5Leac^&HY6%q|EttZ>bnJ=ZJ|!NF0arXErQwG-tbTbtJ9u< zW%~VhU+D30h(VpyK2Rr>p-w78owl~Ap|?m@L0|4~R;N50!u5LXD(Jrtp5}d^P9Y(! z^-L%7>$}UF)#*jtSiODpQ8JCd0*E^CZ${`nW4+1Ely{suCHu#tPWN4On%!)PK8C%v zj4YotOzNaEO-z52&6D(r$>))`t>8&25$tYI8+~54H{|8^JDk}Bt6e)pU;i?dKJ?)^ z&I~uqAz0-!A^QDSsr4Lr&O>|rrD-Yp2J88Iq|=8T1ZEXXZ4Y%)nN7qs322~i&aCMT z7Tn;+sMCl;!}L6RkC77IFr}!ISECvF$J4_JO90P_P$%_z4bh&;P^V*k_}-~pEqk(h zu>YYVZpqpu`bQdT_w&;@L!Dm6E!DTQm`OiwggDgc(yb->_;Q(O<Xm&_r1pV2sSI^e z8R|6pQ(b-PkZ^r&J*a?KouY>~(kBG!daVthE9x})Vt0K&+C2LG2Qa@_oqSeI(6g1C zNkUt~N5!a9voulq;&Gwm*p(E{y;DdZk2*bY(P@Njie92~wB_?X7!IsXD$~UDhmGp3 zcMi0X`)gtAM+AE~ue@Hp*BKJf%zRLAH<hm*kntTkd)@p9SY-~8+v7?KeL>C-q-6?t zClN6<b1S6KPXvD@H>U!#3Z~|wPAapBxSg+p^%_ZUk_WHgU5Gk$$l6#R_H7-}Q#&|A zo%CVD^@ve*3G4laGt^1FUPH8}GSunR*(rLVBysk`BVl2qBCcufsd|p#WoeN$ANeur zbm-PJ{XnY2^mZpu7Iiw%d8(d|bfUk?!vBuO>ZJC8I;jkGQW@%WYI#XL<a%*EX(wn8 zbvp3tFMY#>!g_&Za9e;now-^=@3lCcz9=<lhdLF1)<getZ4RlG2fo~bI+fZ!N-w)R zn8fhAR{7_`Y7g?L(?b`Xj^3T2*D4!8Mzw^y71T*(nwb91-}>vVdTb(#=E3%o2sTA8 zr*~=oljQscQ)m;cP+KoOfi0EZA`JFZh8yM(tXCc{{n_}`daltBNBE2X0NJo4dbVuo z^t=U5@?)!DYI~@Y%4{O8a?!$isZWXZbo4wwMxBbVCVJ@(H%VYk*#4qU)v}G$-<+94 zj#Y%aAJj>`UPH8}GSq2Lk(v6IoWb@-|A2~A#FZU2Q-A;Sx&6i|_z(ki8eC(xKK;O2 zT4@<9CaBZmGc)z-i2`Ww1IR_4)ILxrm7z{5L!JC{2J2(?M(9Oeg4(Fl-z$shjRUIa z0~W$uqE6dCh3nY|7S@jyGj&=&puaw%=uwiS7<~5%b@HR*^sbY}k|q3ZPwLcjgh!no zx#(2NSfgKU9TU3ekocg4|3O1dQ<+A9h3y!xZ%Q(XBrLj~pDGdTT^Wl$;LTG~yyG0s zY=V`)`;L5_kX%1=a}sBU8|Dz~M8S9DT=o?D@+^~~J^s?PY;E6=*FLHArU!vp1ykGW z>4w<^+t{*@-u2WMQa$}FevCR<k9E?c@*E)kU6yi&Ivq_uQ{NF<jg)+}l{3^yy<S7K zr!v%O=7qI-y_nfFK^)~V@Y1w%3)kuA_Mf09hrwP9b*gCDq;Ja}!jgSE&l&1el&sf( z4dID#FwUrx+6U^SGSo?BsME2c)%4Nno9jQ`?dR>GPF}uM^<M2;>JM(hxu8zD3$@Xc zWUsDYtqgBltWI^Jr|69iB++wxea0E;v_AhL{exG3^6Ke%=iX`F7>_zVcF`&Cl_h$E zvttg9`v-0=u{x<tBQR{1+ctgt?&c)zU)y;c5o}uJlKQ-2XUL=aFkLpmrhk1#j^zDF zmL`ImeZviN2sWhtGjcNL7qYV~#1a0|G`8^x*)i=mX>$yiRWP+Z)JbJF5jXl;Uj601 zTjY24Mf@0bN_DxJerfM=^6&T6oS{zIf(d%$iag}z+`XKkPU`g<qCJ(NPG{dO)o*rL zNS_BD=P^{owcBRs+diM6BTfKAo%RK;(5oLQ!d|6;W7KIt&1n5__SbZG>9d@nPHG>h zlgdyhm7z{Kqb<7QLp6QmFnHjBI(<nKs?RtYu9uHJ#@YX>)AWY=Uv*09tIt5csMA&Z zXuU(|OR_e_E6z}-9J^-fXI4j$e{WxP>a=H)N1dLy=#(RPmj3g}X3K-Aa9XI7$}}<k zuSh$6V88jK$aAwg6)BiTuUYsN*_;`s5OvCVele-nII&*k^lZ*hCzYX2%>x#bH|LV* zuTz*hO&_q3bRXcY@7!wYq~@YdDnp&tj{i+cjr~f_ADqwoMV-8=m(zDHI7wC?Ud9>f zRI=Fsy~F$=<W_aFI;q!-I;jkGdf9%qp1oXuTB0x9-J(tdOGN2=K5e5~Ltv=W+jsMH zJwXBXC^IOAI-S2ArPn^k{|s$IJ7=hq+6U^SGSo?Bs8gydS@bpU>*yuRz(W<(sX?pE z`oVS$^$)S|C>M1~ceS{_ylqu|T|L;#qE5LVb=MzOOsi*p_kuIjDO<m>`pZ6x$muiZ zoH{vXc+}~si%yefOw;T39A(K<4K5vZQW@&hFs)TT^l2jL{{p6g2*rj!Ppu~nxI<d` z!gSdLTa#o3d0PH6dC?zk_6;}8A(*}0a#A+!H&SLB#1a1D1Ajc4gwE9Tfz=oCW2<0l zd#IDjY$7gaS52?;*HhAA8B|KtX^T%8z1f0&B+1D&oS{y(>b>>)^{k|kWjAN@M6P<h zh8u=DCD=V(Ut^4*kJnKi120WWJ9LJgY4A>3Wg#4+PG?g`>620ivfpK)BA`w`v(40- z$6lu^79ZgZbyE99om7T8sSI_>l{l+@rdd_}sCXQUI#unRS?`!KLhl?2bBQ{wYg|nK zysn&HYbD%iqfWE@JL^kVB-PJ1gztQzPBrq5((6u|MD!z<ojPgrJnHn!MW?5|FO#CB zHU2+E2Un0fsZ1j<Y(L3;5}U|}PF_?bM(R{H?glA2qpZFC-umz-?nNBrzU~<n(?0Xc zgHk7zp-w6z{IdAK^W3Hbqhji(fLyDSneCxYYOYPhwI{bo`To~pK7B1$PU=**!V|Lf zWD+`mWkKiP6(8*Pf_R@9Lld$HejTV2v}cZi;q2FBsFO2p1B?|_<JJK~ot$xEOi?E% z6LF}MlZiOgNoA;$%1|dK6YZf+PA1L|b#gKhhdMc#=ofWzG9D+l;<=W1)akj4PLTm& z`tUOKXiTR|d^oT=sSI_x5mZh8-a9|Z@<ZowM5vQzUM2ltkd3rS746gsa<dGaLcXRA z;L~b|IF+GJDkEZQfUOuXg#=N^wK|#E9_pm#+C*H(ik0<u?<Wx7`i1zpj2A2@ON74Y zT@X1|sjyS0Vi7g;`F*ll_N3j;uLE_0_RKLboc)>%b#lgafw7`$TxVdYlQT|?DeB~8 zA`W$OG7*P5sSI^e8S3O@qCM2f$;A1gPEID`P$wr7{i04z#^a<;)mC`a>4l3<@4`d% zH|fjKp`|R&KU1$V)TyFZC4KD83S`^85FUp*^_fES$JHm37H|7Nu22VZ4>p@m=2Xeg znc;>x+%O`h26Aig+~BH^YjrZSJ=96<!zSXo{iW-3uSSuGIkk8$>h$lqD*EgkmB`+V zD>=i(u98+w-;rpL<!Mk^&QK@ydJSj4=D46vGVXvFE2_jT5)5^caX6-^lVli&I!T6c zsFTW2CzYX2l3{zOlVk_Pxu8yxVI1lt8TN}hNd|FJr%vlU>J;aqQ>Jw5$eQ{!mFlE2 zO-%peT)W7+k@-o{oBIz+ol<?<MB1K?BsZHibXF(G9r1h`sdc`tvpT5^by67-Qv=MK z=SB{!=d4a@9O|Sp)G1q?EhK2=BvNyCKVBtJr_}r*!N!LL$;0{Q`T3zvzXrsRY1=bc zZlzBXBXxrI%rQWnRE9b^S-k4xWa8bAIyqUq>f~f14s~*}c-2W|sFTW2Cnpo_p-xT~ zuR1xIh(n#6EM9eTG9D*&n!d%OPA^?_x>9%*fp_79bDj9R6&E{|p-xriZ6&EbmnP@R z{>9^nP^{F-b)?#;N#xSZNXQioa&y+6PoiR>N*HdK!wo~7Aa`>ue)s5rT&qw_Z4Y%) z8S3=-%X+fXFN(}P)q>}uPMM4BCh3mp<jbIWoS{zrr|%_eqpX%2OM^I@=j_8A1Jnun zFd6D3S>E$7R#eGNBpB)><8Vx|I!T6csFP$Eht)}CsFTW2C&{oq)JZZtKderYVI1lt z8TO0SNiv9&I&InIQKwffI{A*dPkM$X(py<-@OL%pq%uuR|Gu8ji5Io%cUu+baRimf z{FwM$8lXRoOzx~sko)EMaD7tx2p(sMIF&ivFe0V~;$nF2>2KjY*Xm?ud#IDzo=wE1 z8~B6-+lT7gYJB0js8g#4@5q(St@UH!WqBn+ol<OiOB{=deynXYuYjl%v}cZi;q2FB zsFNB;)i@o-4|P)GP$wr7aj27%iLpnWRE9dK40Uoc(H`pLWTHLP$;m3f`JqluCgM;h zC*$o&oz5TdsMBi~od&m@OY+RTNKQ<-1xoODou;Ww6Vv}-)l!nFMiqVOoE<!l2-f}6 z0@8)H&;!bSaq0xQHIKH_kLSP4nIYm-=5WJ^m>P)7z;iSEL$1}y%=S<xwLP1N3#z+_ zd|cE<&pqcc&qbYzO<zqeU9PIXtXPpV)G6xuDsm)ce!X|s8JwX`(4IL4hO=Ljp-yTX zRpPv-!uX+1Y8>h$8OEVblHu5+PAWs4RE9c9hV7wFl3{zOlVlUb{Gv{hVI1lt8MG&L z`f|vlPH$XvI{Q~XJz2NJdX2+jd^k`im7z|tS%UOLgWBkGp4oUD>NM+9etlqxLHd-@ zs~}fs0=eVgj?f?Fgef%KFozpP#MD4;EuNb{Gvr#G%xn*JQv0xpxW88h=xs6#*C)mp zJQsCZUa7GDx_(=I!tWLQoryYaSYJqQJS<Fqmtz!<L!H#?HJtsL<AOS=aa4&rEyfRZ zQsYo3$uJIek_^Wlby6AXq%zb=GHefZk__8Jog_Pb2<8`ck__WeC&{2asZ*vC9(8)_ zqSKH>dr8H$2M=6|DaX4*om8fY>2GrVFll{iFNvV}`P2}>yhj`)QPrQ4{Qt+^dq+2M zeE<84>A^IcUJV#9*rtTutQpfWy|;iMbVwkfgpTOFhu%c*y*FzGA)y9B4+IdQx6ph0 z&YjnLw2Y2^N5B6+aE^1%KIh(<-I+&sW+g=%M6Yy*WR%;z?km>f+6@us^us)U7?V>& zx$o+{V(n$F-OH@@pp)K*L&j~m5YNIgKV!zfg~ho*r|AAiS;Id2*yGIW1cOc$&L3k# z&i~B5ul;DR(n-Hwr?+2gT%eOT&P8KoYH<xDgHGN!Ii}D_F~mV9#W42JNoUYWXV6J8 zv<ICOJ0s5pIw^)Y=%g6>g-(i5oYJZE$$&aN^U-NXzjFLQ;lJ6XyACn^&`D>8oc@rt zHvZ~C4c@Y6GBK1)vJ8zY@SZ)}a8HVkf;l9k+=96~@iM`+y*lX(I_ZqbsUh|xS0|qF zRV|Tg_cE(J=%nX5WZcX|F+7L(?)t5cHN?3<r<7YO@`k_0@!X|1i}s+??fMmY3nP-( z?U75w&Gz<Tje*k-gHF`16=&*k_h|f}lO6}1yiCSHCohv@51n)dopc7ByiB$SoxDu8 z2c5j^4xJx#@-i6*oxDu6r*yKP3#ij`ADt?F=KR4*SA6iF)?%kK==9ysRr$aZo7jl9 zMZG%BkEz5f{dtAm<bQZ|qTEuU57@~a55(y^rD8gRPC8?9YKR>SdBD2vq+Gj~S?xh5 zJ=Y=QX5X*GmruUKUcH>?)#=sR8hrP{Ev%S3tM|_CPM0_yo2V^o$(wj}qV}vYaC-Z- z7<BT+ousicwYUj#{GgLJPBQ4E7~-IlVi<eqq%-KGGw7rk+JjDt1<Uh;PKqH8Iw^*J zp_5`1r*v{$4ye-$AD#XzotOX8DG|Sadbk+!|LvVL2AzIC7s2;dY0JB=8!zIR)MVj- zd_0G(AOAkn49b;^+IxO-2rqht+H?A09zTr9siEBcBDdK;lxz1gt3BwX_u-InL%QeZ z^WF^N?&Z@(E~?Yf_$a<ONjttjS69JMolcdG;;U=L^4KEQ!&~(+aC-Z-#sxa*ai$jc zPL3aR(&M0$Vu*uIiec=blg^-%&Y+WGXb(CmhW4P7VwdFkK_|r!2b~n7_LNSmt_RfV zrH@XbqyJ^s%O>P;yT2Dh4xMyn$mySW`yO*mwDVS3+KM<P*|W{J*p@55@Y<96QLbc^ z+ivAxo?#ia=k&uoei)NeL%D@SZkHvLYxgp%J?NzO;gE5IgYU4eiwE+ESG`3pblP&^ zDI3?OE&uUxe!-wq^TSWrw?8r-k*=v=v%P&-W8n0|pp!l>rWV&#jvsW=<Dipbh=Wdw zVeFxk&Y+Xdpp#-~4>~D^_Mnquk@EbYlVXU2PKr@`N~gnj0_yb2N2knfX0c3DPBUAp zC1QA?lg<n|{Ve+;)-qcaUUN3RCCDVpIe9Ldf8sk{W7KNOm5g#LuWZNd!<~XT{V<Oo z#^lscZfcRceHi81z07J4I_Z5lWL*9`^VpuDZFzV$`alIbWg5AHr5!6iR9QvU4mx#7 zyn-$HH!n~0+hoC@lYYHUZ@<>KKqo!U)Z*&M@q<o!9CT6)anMOIj6HPH8FbPabW#lM zK_|t~9&}QyuslELq!{9$lVa4K(&_G_fI7YYs?%4Uv=Z|Fty7v80d;!gqtl5hYgywb zE@p0x6IBD%NoR(vCYN4sX2S-T=hZS-6~|1nOuw#Y&Xo;$uVnPpZ--=*8ywn#-}$MA zIClDB9zTr9S32ch32DJ+%UrvcS?!@Z>3uk4T=g3p*t<_nd7VzRMEj^t1vBho&+ao` zW3EjwRHvm`cd_95+4!^)6$L|e(y!O)?bjL?R3|;o)Zz}y@k4de<4~OxLmaA;Vi<c= zC!L`>=?v9LF|>#3q!`*mby94XJU>(?#SjOb6r=W3bt>{MpiXanbowhOR{WnQd*g%8 z(1HM+bY{ru|E_RVo_F^qc6Kp+KF1_Wow5>l7rV*^R9-;2l2LBCum`M1w_bud{V<Oo z#^lsc?(v)t*l?L^_cE(J=%n}Ika5L!R^oBX?y&qXCy9Qc(}0K?ym<X>EL)o0f<dPw z?`m-4b{m$v;V8kNlYYHUZ@<>KKqnO!CCAFt;<8Bwom3pg6gnw}IOwDp;-Hhxpp(v^ zlVWHOIw^+pgHDPe4mv4@exZ|M6sL4*YU~a4GxhI$blUK_IA4+BPZr%KR!lQ=(wQNr zKeBph?p|4mH~3Up95czz=Pk)YLtF9^eQHv!WR%-9vMpcUii=~XALjAHn4B8QjS#u@ zWUk%ItoERj-iJfRZ8}ksC+}+K_rIsA2%T)-m*a~Z)p*+F6$OJ%ry7*wOU!WIupm`g z=%in-)7!5#F3?GjGqt!9a{Qo^9tWKiLmYHc3}X+SbOxPt2Avc`d(cTSv<ICO%PY?h zIw^)Y=%g66r*!I@B%n_3eRN7Tpd8;7{Wn`0(owuxp_9%GIsFwo*m&7}HF)YEx{G6y z{gk@`U*>4TpEn&txsp+CSi(*`)miJ#PG`_bXG~5FvHL-t_`1{9ot+*Bopc7BGM%iz zZ^m@sQx1+0=K`IEMOWn0s@3FeS9TK&IyLab@-k-%^7@5_2nL;~J!=f0lg^-%&Y+WG z2j%!dC&e(P&`B}GK_|r!2c2{Vopc7B6hnK^NinnsofI1`&ks5&hB)Y?7`3N#njIWa zrw=|l{gtW$@4v4)8?m^U(BXfJoyMTk$%LF&E1HJ8GnWu?(5Zi~82)$v{Csvs+M7Tp zYVXFZX#VPO5y70|&oFf6@x!1K#cdV2CuFW&DyHW`C!IND+=;9<zW7Qc|7L1g(LQwA zf3_l@b0(A@tw)s-I>pCU;vE-xSm6gH1%po1o;3zeZ@(6UPI{cF#Z8do2c7gd=%g6p zpp#-4d+4My=%h2~q!`+RPKu#D=%m;{d4AAIF~mV9#i%`{lNl0Fr;k25b*vM^r*vv# zrjOl76-N9ShRzHz?1nM*Sw)`ya|Tv2c%_J8k}c@T_|UFDv*nMEP_AT@8<u1g%aMcL zcyRh*9zTr9siE90iAS-1GS}{9R(sG%@53SEl4aw3@u*?!@ueN2U+A=NKows0c}~_~ z$s56-Q}WYQ`IWAFW18$=D;RXruh;4A*BTe-q~c1*u`;!|yplmD6^Ai}PKqH8Iw^)Y z=%h2~q%-KG7}|qQisAgAlVXU2PKu#l=%g6MDV;o-0_yb1N2l`D#BT-M+3ZTZe2<uB z=%h14PJhpI#rd^96ItDVcZp*rS=VAkd9H{1S&m;#%9V_AR~biG$n%}z*y)FP{4ge` zhH{&V+^jO!?qybc&`IyZA>%fmF3L|&ImABA+$Y+HPOFBN;3s~X$11=3Lon!+C!`b~ z@LzV;qU3hLpp$;RPH(@~xIiZr*W0yD<eFOCob0OvgH9?g@5Z%)K_|tItlcCSbW#js z51n)dopc7B6dSr@nP?9>DOP#!0>Pk@VhKvm6%0BlR>HMHFzBRM(UV)e)yc>iP^Zs6 zI?ecIH``sJ^S*>nhly7!bkdn2x)eWVSpOhPxpOx=+_;U1W0F0|x}T-nc$anAPHzc1 zB%|Ek-@RfnKhgKcoqm|d4`Xs_C^w17waHw&ms#yWC%q4cjJwezo*j;U#{TF@cb?Fx zRL>*qRDpQ*Pl=g=L8k#PjxxUMXO{9~L&2bve!Wg_zt*@wCl!}Rj+Lp!g-QmUR2;?> zIw^)Y=%g6ppp(v^lg^-%VrUOKDTecdPKqH8Iw^*Jp_5`1r>av#-het8i4E~DEB#0Q z+gEZ0qoV#-s^7%$LMNRWi~_Iq*vuAX4PhrruMu%fvavs{VU@1-V5i6aMY)nu?yz?w z*^2wL=s5i_j~~Y5)KG4EksI`Ya_wGbwFjN_J{&SG>w&dwWBgFI;N^ai3!RdT+QIhD z%g*K|dMFrl`cP~)`(yIBm?nLf3I?6@>vekjwZ;WHsko<dtV}KLx@6Ev#bHdLlVXU2 zPKqH8I_V5L=?pq4hW4P7VmLqOq!{9$lVa!>Iw?kRN~da(0d-2?qf@C-8`-E!f1349 zSc{#`3_1Ph66|K%j+b<?@>|6*lWgkS&1_SSCblA*<HfN<GRkc^a;|O0rXAwg>4$mz zFeaylax;yXYjeq5yO&w*K_|Trhm5OVVk<jRf1It%W?GD)Q|>E!Sof|2<8PclA{cZ! zzAm24D^$=dvxgRA=%in-)7!5#F3?HEx$jtuonp5tTZ^4yKV7gEJH^tUwH7<YF!s<% zXV6J!&`GfqSFOcPv8gu}h--sRiq*1Pi=ARa?^uhSVuM~=i(QYR0d)%U(dp#(XIc9p z@67@oj)_+*s*}zPacYJU7k-`X>Jwx-pR5;gOfoa$->ho4w60%MT%}yeD3^835<jss zy>;mH!#sW%bfVmgeY3<j??SoINpBB2=?pqmYk!HAY&9v~9!ymhI*qPyi%lK($hG}N z3ehKY>QeO{%QR@Hxw1G_S?EOVSz`d5bOxOit1idNl-em)MzV_<!<eEv>2at|iXjd< z=?psQ3_2->eo>ti!}&oc#Sn+;q!{`|byAGtRCStCDxgjYeRS$rCl7DjHG%uzL661o zLMNRWa{3P~EWkfrPGwd}bXmkP$%@R$%b)bD=32ZgkvMipM!9_-9E`7LyCUM8ewfD( zV{#fOH~+JP@!^be?OtZJ2c7gj95OE4mX9}|^C`Ys3AzsG^m240zyBo2j9Hvt^a-6_ zE{Nt;nvXWSwWB_ulYYHUZ@<>KKqnO!G?@A@wYX<;{GgMH!<a%R#SjOb6hj<z(iwEp z8FW$%?LjBSaDLE9F~mV9#n3NwQjFr1PMazO)G3jVPH*n-WX~Ipb|r6XEp|FH<n%B6 z$;I--h~Gu3Nq0m{veWx_vrmuzU_;jL7sn3CDEHd(GwkXg)}5Wspp(v+oEl=2MeZ$` zYxgp%J?Nz8IuQ3^58L28$(oDX1*KEF-UnE*hs#*qS*Bpn>CA{jti<rbZ0z(6f<Y&0 z&l&@#w_l4vCl%Lkptaa3w&2oA(H?YCtUxzwu~Y0sCu^}&3}X+SbOxPt2Avce+0$C= z6sz8MfjAfFq*&sYa|DA<ij^5?Eq02Pm|!h-7b^zTDY1`E3GXdsZx-cdE!S5O-Jv?^ z%n;l#lHOa(dK65|%l{Q4j+taHR<2;@>SyQew#SKMhh&sn`u9A%!k~)c*y)FP{4nT5 zxyeLsR+$T(^!A{W&Y)Avmn+$z4Y_!yesmqEPCqr-%=*qsE`C;vJ{W>d?YeGZCtn?5 zBVLph3_4MJ))+u1ok1s^nNmB&+R5>QPKsenQJoY+9IBIIh=Wc#gHAewPKu#DR42vI z9&}Qyp*%n6q!{8*ofM<?RCRh&J)llWd~|C3Z(0_4<)mw5MH*V@q%%WKf3_bpvgENX z*{KKPL>!ZB#_UvV!^|zL_Q_F{D;ed6_BqU278ov=(+~6bVNApthMsHp!=RHM=a6w{ zJEdk}wRW?Xu_MJXbV{2m4f`a%lXb;5Rxs!^Bs3#yyCyA5`H+6j3_9u8>y+*33_2<H zLrVHdGE<A&Q+KL3hE6K3&dO<mK_|t6N6`-zK_|s9_RvXZ&`D>|NwN6h^wVn4NwK)! z>H49QV&iVo96=|=HqV_X7<5wXO`2c5zn~IUH=s^QeRRr}BoA90|Iu~iHE9B!bY{ru z-?ldoOa8tc>ym<|hDlayOjh=||5_H`g{H<K8ReEcEh>PG+H?A09zTqUSn=y~BDbW- zJuP$XUS_oio%B8&h;wFV?=Ed%z3NlH&}rP1tZYU2Tvl}_ogZ}C6O@-l_sYbEHXbb) zbkeWaiT1Q{flex}{b0&9wYdKp(R4v46<4n;#X%><`uC%AgHDQJ?4gs+pp(v^lVTAA zM~e2KlVZ*G(@PmTDK_SxVS+&?#TtF0T<D}&!=SNVomk_5IwkYbsY3gLwtXi*yKbCW zFPer<Iy2<-?>|?~_Wh$}wx0*k6fnt#PKmS?&0ChO2%}esLo&*J;cm<7C9tZK&OCnN zn8-H_J<jfjK_@-VA>$@AiL}i)P?<d{Pr5^=qd%0el`S61g0oYVfKDe0Rkm#}^em>M zoqpmBI#GMp7&v8nI)hG%9b2$U#F$!Krt2%jF?3RK>q}AGT`jIlhBe|CI;l8}J#^9; zbkZ4gQY>3K`fV-fq}b}l^i%!NNwK@V=z5`(VyPpS3I?4NYrJ^1S0{VRfI21j(J6bj zj;z_g;qDv*)5R*CbY{ruCwBdOL3iTK^qdjqWwD2gx=T%<Uy5~jS(ELh+=ElmFPl02 zFpnR`M66*@A6Bm24}(s6oWmRUym>MA{?_zMw$O><uGTH&?)H|Z4>}RcT&RG1TGy0< zK__C?7&yJ{SqwU<xRC4g6Q!mWw>yX!bW(ANHV}hOinU!p&me|Qiec=blg^-%&Y;tl z*m2BLDa>7NK0O{9I$eK1mhEg9<{q}6@}Se)4x`wl9J$<!kJH0>q0`*`{n->Fk9%8w zdag5cawX`_cI6FsUu+xV{i)S4Z3F7`jgL+#N+;!8(wsGW{Y{TXMs?DeA*Y|%fw$Mp z7OCj;nU@X!=aKpI(jdz9vJE@lngx$M6~pcH!#sW%lT$-|Sh;pT3_9s?4sYD;1W(Q4 zDGhNh(23&qKDuolXiQTDoro1%^^bY?F#QNJbRuSrfz#Wb#h{al>l8zeWHz<9)OLC~ zLMIj1JO#x;C&hNXBL<xm!`MS7ok1s^L8qEkQ}JE(Ompg6QWiR;_%;>aJ=HWXW}$0? zPM@=-<Ry+AG+!4Wb)b{8;WzyG&ST~`BS~%ORBk{rescdQvyk{QfZB?$>J(6?6h1m7 znv<Wq{!3&FZf8BITxW)yeqtYHXNY+|n@*p3*{|28#eY*MiC_*d%gZBN&9A-@!|n9L zJboCHQ$u}NxpqGcI_Yr^Z`{!mhvJXVqK9umCyKKlpS-{Mb$Vq&Ct^Rhcf>dv(DXwm zV%8Wqz3o{HI;lA0i1nm$#a7<8o>Z>bvl-Tt$`z|S(t1+4Vi<eqq%-KGGw3v7Za)5| z`eIvw5u_({`mit`zm>yj>#;mkFzD3jTs}S{(Nx>yZKMu#I$v3gbGyd2C8@vonfihG z`J8!qZNJyZ?A7V;j{$WG_R)#V?|*g`tDQ4UbZ1p3iy3nIDXz<d`K)+DItAustCLM; zHSW;@=<u?^g@&^q3(~LqJN+<^9|oPM4=Wcs>CCE5RvdJqxGFcsvs4XeTCD2y)9V>* z{(O41TGi=oc_%xNil!AhQLc5p&`D>|NwL@w*+s4?wNvcw@@#@#)Y!N6D9)-*)W=ko zLolm4S^YvM)gI=<s!moMbh`1$;GdW8WnFApM0?O_PG|ytw(DND$xa$Wr#sn#cvQb# z>{NHs9XkE8I1wM0U^BaUlyXs>3VoY|Hw|0Ik|xRF)#*vEfI6l0(dqi}>TKrh6g;X* zF3~h}(wQNrpIEA8iFxP%IxXg9E!ux%1=G-FJG`vO_@}H^Jz4;rewfD(V{#g(4=dO1 zhe0Pj&f$%FV|&LQ_M_*;K_`k!TQG?CKS&i7IuScxGbwkLprM3L#H=xJdfT%YbW(9) zYe@-Hi~Hj^sRNx<Tu5JvgHDR|=$KP5=%g6N9y;j^I_V5LEo+>cb$*$OSMNZp3UqpW zR{X&AgH(LVXnLtYr#?jsu-iYR;u~j@V$iA4r_!u$&XoMXQ_6)-i_%wQnaTw7+fg~a zI;9y9P^VNrI^`RgkS{5I%ItHCE)hEE%#hPhY)kfk%w5IlX-Uk>dK&l5Tdl4M=J2wG zmtLAt*N+M2^us)U7?V>&eOS46KMXqQaSm_X`Mi(JuHRk~$Iyx5)~3B-jy`l>Fz7@q z&+&`qnbp=aS%_I<;Pkd<G3cb?y40YTimAn==|<HUI;ptk87U4rDYiQaEymDEF^oNQ z(iwEp8Fb>kzTx>k>@&kt&}|TOYSsE1-lyz-b91eCf<dQzb&~T!Elu-D*EfPer`FSx z@SyaE&5XG}3kIF~A4tT<zd3FeJ|5)Nsr1l*I;Hl}DP8#}9`^WUOiuHIXc{`{%#hPh z%+dEsg@*;`m-3mHJv*@?K668QT9U)d8kYXnWj`M;n9~pQ_+d=M8V2=Y<=Xu)=%mLv zym1lXf5$J%Pd~R0oha_&$ZPxe?ztiubRrh<U(=YRi~bXAwl~)r1E(JbohX;$l8&>U z$)Z@p6E8&`bW-eI9*TobimeEuJ5T7O7{(qt=?psQ3_4w?9LZ1LS!io&&@B&iDp@0v z581ZBb}ROgV9;sHkVw9~@FZJ!8@khmPI(?h@^LF_+u|}l6AU`paz*jsW3t(%O?=~h zqoC>NfI6k|(Wyn}MEp(u^(<LEx^(EIGeb^4vAZ#g*||M8L>%+7{4J-mpj*c&*ULT( z9nGqDq^Alv{V<Oo2A!x6D;GNH3_9ryIuZM=<P<h$7yaTtbRzb+#$2{6j;0wp5&LDz zGWMh}y)2*;F>4H<lg^-%Vo$QrG??PgFchoM>WMgpPKur0MpF%)6q`K#xnR&qF^oNQ z(iwEp8FX5i;R72#&Bgds(gZp^V;|W1W-j*UnLC0(rz@>Kv17mNV=15A5)3+xK9GQq zD6pLsU-eKh=ybbfLO!hRCN?04_2B!y69ej$)<>sLyed1sCj}qzJ-u3?lg<n|{lqH$ zo|xA=L5m6VvOiXTWP@KHq+BnXfAT3i)NhkuPCv}!hcOXr7}STAYxl#TlOE^r#<d&q zjwL!qRS`N-T-BOEJggP{L_2gM7Ti54?-uJ33_20B#=z-q&tlL?#dV7&6-_N}cMqCE z=%nIm|3NB2C&f~%poJGYDTc9!PCA25I)hHf4(4P<gH!YUOaB$^L8r*rF!p;;YF^{^ zRl%UsfkpY)%2BEK*hEyJq0_SNCE3#QDfuQ@8lY32v5Ylq7R+B4x$mt`&glVl3h~h? z{oy`rx;?_(BgA^Nw9X7U{lv01D&*cU$=W*+8(5`;`|>Vp??h~Bv2yO*<)~soC!Ikj zoiPz>7&^22VbDpBb9m#T|1RlnGr`(BQCy~zMcspP(kmD`5o@q6%6%juE$+~Xm^B7Y zZ+jMlPAab5FSI8zwYU^>ti6+pYg~!qpp#<TidlOn#W42JNoUYWXV7WPlxgg3|2*z2 z?XA62&1%!wp7D9yD_2^3r*Y0ntVNq}_w7S(#Q8#}E}ciR*7khvlmo53Q?rYM*~MA; z-38xTdna>FK%GK;bW)$yeErN$eQpVz^l^bsiv3^t%<k@@fI6k~(dl;1U)Y9)yUksx z=%Z6Cb~-a;b?URXKkJjVeSGXw`dE`m=5qF6H4YrI{c}v_N=CW)w)|@w8bY6)IsGt? zAI3ziVNh<c$Q>_p?OtZJhw7yF;gE65xBbk9w?AVm*NpnbVwWQ6Pwd)Fhpp;4`b-hk z$v%7l+ZVdSHNGvypgQT-3!QWZofK<0gFfyx#UIX@#_viu`Z)EX##lXyLv>QQou|<F zVX;#TV~^^jGgK#?p*ks+ary|+9u_;rs-2~ed$HIl_RI63f}uJoRw=#p5wKzvGmr5u zcF9%*)G57>PN`42n5XPRadS!20G)IOoz9m%z?}cwa2;r6=``-}J~njOqkW57SUOQ| z`)9E+rAp9rK_{I-C!H}7YZ%1(KNY`zCUfmxX0->M^jwFG`{S?u?DG3X6@EEH{nDRd zTu8m2CCQ$~m7)uM5d%8q9eIG=dmdwsxlS?AiQ2Qqz$tTe2AveEb(W^V)Z)&srD=su zDz3~Fio2`DwUuAyflew8V-KBl2Ay;UofJ!Rnm%fWPKxnRODDy8d~4~XScQgk&e%IC zR=(+IuTBx`0_v3Et4?2a`rpeZkWO{C1k@>`k50YYrsL~Gu|6-q*n#S#GgPOmap}2H zKVN)wLV8s*Mz8)BzlZRo)ehSxF0-l=<qkUeuWd1-I8-N{p*rb|iCDuRW*50@Wv<=J ztoBfy^jwFGv&V(<o;T0gzAJ4lcAYMV@Y2^t*a~m8s?(?e>G{dnjjjc$DGt?%+Ox*M z>Fw8Is7@;G=Yv*tQtbU)t2!yxYKT>x6dN5+3m~eKVi<c=C!L`>=?v9Lu@Y{pIw{s6 z$f{0?&B$d{C&k)Uw5pS0ZK_(;smHE>I%V?F>FVjbtiilY?kjKWipzvfI)hH#H~+^j zclgD8k)f7|gH9RJ-esrf1e<dwHlSQaN>J`MZ(q3v53DVi(+~6bVbF<kr;FSLG8a1O z?LjA<L8o^G@3BSegUsNMbwt0UvSF+q{(wb@2ZZ!^)j}L&u?yexgk{>b#ti<gzF^Ra z+Ox(0I_V5LDV9EI4UucgJ`~HpqpCQ*sIf<btBYeSb}G*HF-|b(q!`8?I_V5L=?pq4 zHZQ1(Xb+2>VjoAu3WmLtVl56b!LWBy>}3)<XDoJ#Jx^83yVy;M52#aSADv1%VmN&p z^W<H61w$vD8FKo2j)>v$HM+7-BPotac5p;_K4jTCHg(u!%9V_ApYGhkP86Xyryu6= z!{}1QGl)g*e<JrUnQQklt3BwX_u-InvyxZfc}{F(t$R-r$I$6=_3}LQ@O(CS3Vrbw zI*r*J!=v(tv7wh~dk&rS>vhWZbOxOi>)M^Fv8lzqs6y2aI;prOkrW4=6m!ULu0kip zF!s<%XV6J!&`GgEKhU*8C&gNCpb7|`6q|H{DkXGMti@x>g-(h!e?H!;)2`nF>XgMt zr;b-r@zEde+b(>u*y+rW(;wF^6`vLKm`#;iT_#z9lfk^^x1s#orq*Idxrat);9*DT zRH2j3pp(v+h!sDzA#x9h-0U*f?qybc&`HmA$hgUkQ}VgD((#T<t;LQX3g+cze8YoU z()mHBX`+wp84t4!f6(wkCu+|c1E;rNi$Nz9*Yk_TPO%SPEOv^u{$jCHY|Iynonjb! z=%h2~q%-KGSjjIIJH<MFvDhg#^NYn!vG2cF>=bMJ#bS5yXh5B^`sma!!zmWNvpM_n z&Q530DesIw+5OgO_^f%P33PgX>=^6UB8n$XZRte04bBzjF|RD0bOxPt2Azo26}e?( zE_Bl4pp(v^)1}MD*~K)4c(*~8PEB?kWAA3?;VBJb(COE8C)wN+Z&|hxv~Pe;)Sfj4 z&`D>|NwF{Q>=gU*&Q7r}@9Y%&^3G1NFYoMh2Ay;UofP}>&Q7r}@9Y%&^3G1NFSp`~ zeR*eR{1s5AY(6^GD%6Sf5!LC-_nmYGovPb9unrj>u|~Trom$*(&8pl8;X%VKohUc+ zhz$I*cp|u}PCA25I)hHcGKky{G8a1OanMO;(CI+Jwye&qbo~AwmQIULwq`+@zv1sk zSvq}=>crgLerE%7Th)o$v&H~A=?pq4_T~FdihcRMlVV@K@1)q5?>i~><@-)LgHAew zPKtf`zLR2KzVD>im+w0%_T~FdihcRMQ`m)oI%WT=(^sAT_wos(6T1>nryM>yv08EL z-TX!@@z#2xnqVugGgPO~TWhhF?NalJrRdIy$-UE-gH_m)1qJz(j&zsgkc@Iq<t)ta zCZP75ewfD(Lv^BDm&m;;b5Wi2_E4R4hUzpgX?1onb2QIXhWe!nY8a6ZYqE~xbMT{O z>723H<#0D(VQn6>isGll)M7{NS!00eq%%|}#VVLJM6N0OP^?b(YU22!#?qIjxVswb zxTB^xP83V$r*bj&*gNSA)k$ZlPKq7eYu(u?mN%xN=mT4E#fA^$f?+GJSa#F8vr{bV zVe8JW(~W>S<@C|1L(m=8BmAz}ZBZ-H9dy!}!RXSP4}QQ_g&lV-Dn>WmOtP(0Zn4G5 zcU5?ov<>A-M!9*~ZH^h=v!!58Kg{EYF%fGRl-r{1=9r~2*Y0Ijd(cVm!y)7Ns@ts9 zz#cK#Zha??p;Mk3ciEKa%&xBUI|>G!cGP^tn(bg_qMmfUvt_P+y-q(2I;ps2>zard zQ;XZtqLDa;PAYC-IK@FH#r|B<OfcxA7{(qt=?psQ3_2-Ra235t6BVn*kLGeh!McJ$ zClz<U6TNW*ofI3fuAyMKvr}x?w&vbDyD|3y>J;XqQ@7i5S;OC-+peW;Et-Z-Iy2<- zZ%I9$jmZC$eLPK?Fv+^Lna$kiL-~(YY3dzdqP-oVnRxqXnl7gw=JCUrh&2rAca_L( zEpw?&FsnW2L~#~#$ha+o=dg4IGVs4HP`}V=)4929(&%J7?`dMtsn^tn?Dug8nfZjK zA3EvR>y+*33_2;6F=tZ|V`^~){<L&bagS$OIw{7}Hy3%(NimE)bkZ4g(iwD8Y(W-M z0y-)7dA_BSV&7f1bW-ef4mxM(q}a=RExbCddK^%vTs}HgtKEpDs-4+9G=ZiMI_b<{ zG_4<3HfPg=YO@tLES-iHt;d$$U%(Qtx2hB6jvKpzO-n_3LMNR;C!H}7D_%Pyx4X!l zD|6|5z^wM5lb-94aalSvU^T}rVW+!LztHJ%t;X#6z|kzR@x5TssldBdY(cs^wlYyP zt<Z_uv&O(F+tV3zQtaa#sxYP&m%2Ksb5UdG(o!6%lgiCMg{nJrQVe4copc7BbOxOi z8$N@SfKH0t%1E0JR42tMHYUYTofNw=r?FtrNwLd|TY7am^)jGNxqWon)ou=pT6@X- zwR(HeG<4D#bZXge0sE%oTvxFOQim~`>gL;KvGETL+r_lBm^dV(+}jf>+BQYe6gvGd zj~~WFtYJ`YCXxHQ%(Z)&)gE-x`*6s(AxCGkvCqP7-9J*l&?#BIxhzMwBJnBOcM}Xc z^~k%3{hK+TnW{6zK_~rsow7ZhK_|tIH>PT5YH?Q+)5{Dxskmi-(!vX!6nj;Zt_wOT zhOviEI)hF+gHDRouTL)v=%m=Tv!n@hQY<8tw1ZBHt!qqbLnp=7v})tk>B;+mI_3GQ z(^sATS3&~mlqqOmpr;;$`{<;$U|+Z5>UIRxNgo$fC&m7+Y{g3_3#e0GADvPcnZim| zcwma1xF~#B>~v<x#c9yP8Eks=->!QpDu_5H+2%EqS-#vy_VJt*DOWPeos@7)Orjz- z!JK}W#}8v7R(#({<R(opCMKKAr9}bEY7dK@-iJfR{cv;&TbVK>#_^Q;#bTHJ;&fKI zVjb79Q`H2+Vz+SqY!-9AwmIND#bL42uNOM$3_2-Ry<1t4Yl=UdAB|s&tfj^AMUCaU zSw<XVu~WG{+m;s$i=AQ^dn|T3!(yj1EOv^W>{wE?hs92@qW8ZQ42zv&lOu`>hQ&^? z0^LdphQ&^?{Jko87rUmZ0_v2{N2m5}lkuHB&YHi~qrC)l(wV_%*#7AJ4X^v*7gyHa zG|f!1@QF$J^~jR8iwQbVu4I(kbwzL6rE;{#a{6H&Ka7c3!=T(*%X{0N$Xx0N%xVuh z>3uk4T-Qv=`1HEXZ5uzg701vi;*Vs!&-r{6HqEs5PNgfR;Ijs1G+#Ec_D=fsI=%f` z;{u&j+=o`QPcpT*RH<kW1D#ad+4HnFfli9$Yef4l=%g6N9y;j^I_V5LDK@NmQ_&uD zQtakGbhihc6pPJDZzw<~#r|nUw+hfnu}d9Vdv$W83#e26uR49z>3=08kWS7l0d<P- z(dk428?XD*L)Y0(vcia;5H$>)8I0JZ42=JCr4MVlneG6YWdEM8z)z0e#11UzESN(w z%Ki84P8Rv8onTHs%;SeK5sQA0irk_y*Y0Ijd#Fx&9}XFp_4^pU_vtp)Y#iNXqB`C2 z#PI(8=dr%~e-I3d-IHL>%eb<$>2>M+X3JdtdYyh4s*{Qf?n7@zm|9$pymS|b>ZIas zKB7v5>ZDl7ZdA2VofN~^qdMsf)k$ZlPKr(Yi7FtflVUHP)0-BkPKwq4mhSdYofLc6 zo2o3TlVbM=we?n~!(jn+D&V8jiZ@yLg|}DCr!%d+lg<n|{qy(b;G_4<cg+Z;JqMGl z<hrbU@$$c7>~kv#=8%kX?}iq#ZR<mEPCv}!hcOXr7?isrq>$~H%(Z)&)gE-x`*6rO zqkJ~*EE{S|I+3meIvwAfo&OlIE56h-`pOz~T9i7Bmt0rG+%=cJVg{Y`>vhWZbOxOi zE3nMkJ1JJKL1~c(ofJ!ujpCq_Vh!e6dnd&(_RvXZ&`D>|NwJNKti6+BX>%77{X!?j zy4$V2lVZu2S$ikNlCHD%PIvPK)TyA4PA{)U^DBM-vc0@PuP*GJbY{ru??0pvFYUU| z7EGl$CRvgtQGDs0)cnC5ntF$1l)LSCD8K)b%y;@>9zTqUSi_*)6(aYh%%wKLtoERj z-iJfRjVlt(GnNYBdn2iGK&M(~#kHMF#Ct5FiU6IC>?+J_KHbL#)@>@-Y?-THuhS3P zrLpLz^h!51W^>Yh1v;tr5_hIJ=%iSaJJc_#lVTWq=%h2~q%-KG*w%;imL;l_V(Gin zXOz%Mv7YN|35M#VSjwlgpF(v~EXCVq-s+SrI-pLGUv>Jb)Bj3HAf1X73#e0+k50$8 zJZCX|3$t@sX`M%P(wV`iN@Se&g01hDgg1FXRfkE|C-YNQrhP8{_$gHchh&udxqn_B z*NCc^(+~6bVNApt2IW2#xv?_W?qybcs7`tx4jI>|)HBv;XC7W=GhGL&)70V5*~0u8 zc$e$MP@UT6e$DbmTx0W2(YwT`PWtsaWqUe9by6&40ot3GT3pVHR&`Qwx13gWQmj-? zx|>3EQVe5{>ZCJNC!L`>DK<Ua`UqIDmn*F5q*#MnR&`SBQ3Rbcs*_?5idY{3*DVuJ zr)VFYGQBFv8&pVZo7J_PXc{`{%#hQ+ctC01aQzWhGA+e1$^NKYlE=3B$WAqlp<Kx* zcmAg!zNQK78=QWa#}8v7)-Wh{w8&j0bM0PcwFjN_J{&S`<BgKMa>oSx;4a#mK&Ko{ zOY<|IZm^#RQv1;9zk+3X?vArqnjExmfKK}LI%Ru0gHDQ_>|0#Km|EQR{PbSWMUAa| zLVFl2b}IMnkF?i;PKsgdp_9&_lg^-%VvTwg5$$2IQ*7s}D8aDUDVDxOq+nR=6x-OB z_EXSFvGtBp-o>tmEuc<?d~{NuB!B%zf%;YjbkfHKIw|&l<r@XFD+ko6@K>F_enCZi z!H2$-6zB^oyW#@sRK!Q8)UD^U{}TUbYZzQe6h16=Iy2<rwBg@HEPcH*?7$)_noP2N z{pK;AA`#Erq%h@5M!B!=CgXz=M+@fk!#sW%Ek@!43z2(G<o1`jb}zHq!(ylR;gE56 zmd<CHo+jbRcT>Mu>?X!JSu6KL*5CkL8y36k=2Dih(IVF8QeMHZ*y-1c>ZCJNC&eaY z&M$IJ@rQG!@mqK}TpVMuQ*rI4<`WEyonkvu7Z41Konjb!EOt7>Vy81Kc8Z0h&m-Ey zVy9TISvdv6VyD>YbJ+#MVy9TQ%yiCJ>=f>DtwW^VAEdQ&AtC)N{<fKF>})(+@i7 z;{u%&`@ix$JELhpoxb(aDcQuE?An~;=JLz*q$N}*of(3Q=cOe4kF9&3(^a9f^?1aZ z#vQh8V;9?piPqy0DYxE~rM4Fb>B&;4PC7$%(is!462l-CJb9@t`)`zM_cE(JR3|;x zA>*=_zsr8k^s8;deCzRu;hx8A+w6kzKU_E}+Cz0RHautLmV}#~hEN=;6SZfJ0d&$C zbW$w+D|!-?={-NnEz@wNV5m+i?$E6@f}uJo*7@I!f}uJohOtL=(iy6g&QP5c%k^lf zXb;s%v0G2)3x?{X*y10pCq^lD?&We3hw7x*Ux}?JMuoKss8cZ?ox*eH=TT|@Fo)ar zil(8H&Y;ti6OlYF;ko$xDd@psO#B&!t6>CB7&_6$Cb-41Lo&+kw_>*~vbgmCGMzyu zoiRBz#7ZvTZEGlV?OtZJ2c7g>hm3PPi{PVHthH6!OV@$L?$VAZek9HN@^gbv2?m`a z78K$w@?|ua#Lz?2pcA!cje*nKuf?E~ihJH{y~s7SxQx53r){dZrPb*{Wzb2ns#P`% z2Avec*h43sK_{I-C&fP3B_*JfVh0;76bw2kHsthN!LZmVwzV0(1fY{*8%4QLKT}_= zT|k|R`{)!psyzSuKf4(kV(Fwa=oGS*@lQiS*@8RPlgiIcuE0B{?8W-8v2>!`2SFoQ z>BE*zI)hF+V{&SU%@w(|Wv<=JtoERjp6ift?F+^5)2oKEZa1wbmCw4t`PqJjS&kRS z#jruAALmx&QG2$><W9OrFz7_>S!3Yz_G>Zdq~eB0Svo1Ua-5};V#TsqIw^J`lckel z7<=fXGw7r<=%m=>JeE$1HHffuQY`gyODDxDMp-&3W)lzRRXTO*5>TfSK02ufo_~Gt z{bm=&06OX80-Y55zw+SwDLn$}RMJPMBS(_**<BOZE;p3>ANh>}ouN8qFO`B%DsY4~ z*hy84i9fM3nwE@btMQJVJ$OJIJH(%1P_FZ25N}(Ms)W-I^Y~#*Rs_oJD{@=QT)UT9 z?V&p9eK=%X{cn@=PA?1|E}jai7CXn;U|xIm1vWkIkYK1zpDL!}ga01KA|7uM4An`$ zUg)GV=%iR&cY0!`={-LhzwRe!KXp-K?_1G635%V|UDRTmU|8%F!`P!b=?v9LXQ)n! zHR(WA5sRH-S-UP442zv&7w*s#II-9%mZCfD?XcJ>mUPGtZ*|(#C!kKHe00imbS_)8 zuDh9fH5LE=y(_LULvX_gk6X%iZ~bf=a@N|4^GEa9(v{z{_g82i0-dP6Z)yx+`)gZ^ zoz9?>&X}AAVx6iFVCQ76-OH@@pp%~KkZ}hJE@WAPdot5wZN+=XFK69$W@i<u|0d24 zI_-#B&2|^9UZGSYODAg28Uv@dUyDH}6*uG{En=n?w=|cv*r~X}Tdjw;Dt2b0_3&23 zF!s<%XV6J!&`GiJd#s1IDptou>Od#OQk1tAJH>1Vt%tWNR_=_o6+bmFpiZTIbUIOG zEo=P5#muep0j#n*=?pqudcBzq8(f}O%Uo5QDieR=Ly=$CGv~^NyjQZi;utznZg6M| ze&?qef;q*X_#TtSJboCHQ$ulALR#?IGS}{9R(sG%Z_gp)s^8ea-hFDy>vXCm+Q(MB zV1`}n*?q=q%(V#yot9?Z#e(Z+<I_r16b#jg+Ox*M>Fw8I&`FOowYbA_{7{|rI8-Oa z5Qpld7{(qt=?psQ3_2->_E4P^LwnFkv0d`~P@NP*9IBII)SlWqy%`ozr!qb|bvpcs zIp;lN^H=;Jh8NXIXNKU0@t|T5e-qi5|8Sb(m}JfB8vIuDkGyrxUgFpx8RZUW)QexJ zLUB$%%;SeKIW?49TjchVxpptJ+JjDd9}XE8{o3HiJN?Yp9sXIg51o?NP0U|EZO&6K zXe$_W%9blJpOmvCKb)eQV9-gwUZ=NTYh0j{9%pKC%jEb$Cp`{2DTX-cq!`8?I_V5L z=?pq4hW4P7VrUOKDfX*8Kj@?w;-Hga)Sl8Q)7XGImG#j{-5`E_qd>h`0-f}6fliA3 zUwNaT^yGj#mGjZ5W1T#_an}Uye+NAl3mvMH&J6J?HjG0H3-FJZQ<+r~T^4anvLbWx z@+Up3xfU-=B#s@DQEuM{2jlD6u826NALjAHn0%#EZvJNn<HN<npw-)$dV8o&I&;X} za9cj!e9ou%Y9;78P@P_mj^y{B1er05^NT)Fon9`8=2e=HHoLW>K2V*gJ!=f0lg^-% zVnKtc57T?jl>1DMAF7jz!<eEvDTX*yC&dtl>ZCJNC!L`>DTek?ofO0Qp*kssI8-Oa z&@ZZ!Vic#UlYK@&oyz;@wBd7cz9Pe)EV@ms7;@;OGeb^)WcAYAy|NN-@TsymW|E!H zTat%{w&W%H)TCU=D7R^3TfV#%7spON%;SeaC(4Zwx%FhOT~3$Y9(2-~L&j}7QIaR` zYUlUAr#%~VvVC8UFLG4lX_r?N3_6`^P>wG#!+FDkRRx1i)Sfj4PH(>!gHC#!sl}C$ z;|HDeIOwDp;-Hga7<=fXGw7r<=%g6hgHDQ}J?NxZUU`1dNioDhC&j2erITY`K%FZ1 z==8jC9)9jdLU)O+8)KACIy2<-XOAw(^LEZ?rv6+;#4*XbCCta~%>Kz$Z*>asYIR6P zxm`k&xUS`_DdL=dn8y!ea%w0yBx4fStbCMf_cE(J=%n}Ika1hq<>Naq=5d|KvO(lR zr%R)wc;i=T&2^Cz#rZ*}fkVZYl-G<mXYH*e;-Hg$y-shx*0?|?6}MfEm8r$`mJB+n zIE*QDQVem>NioDhC!Ikjok1tX&>nPBY`Z)c=%g6ppp#<g7dk0MaZ0CEiv#Ku<D*lu z0p<9v=)c+0kdCB;_!FO<Y0Qw*U$KLYm)%!`rw-~TVwhw<<*vY&Ioj~&O~+8KWRx40 zuoF*p_ItscewfD(V{&RJ_kK_(zV0;T+P%zb4?5|6IAmO=lNI>Qm=1i(!4V=CIt`1i z$fs4S$=j~%CKz;T;ECmB&J^VJ3k?wrI_cNz^!96w3v|-sOfBx996#u!$3Z8>5C@$U z!`MS7ok1s^K_|t~9&}O+?LjBShRgGVPKqH8Iw?l&DV+|l45*XMN2inDpJnZbyf+JU zI3|V{I_b=i(;pXpo$cxqWICU$7jaB7GvnW^YPYnmUsGJAT*)Yxb<Gk#vGZ=hoPL<c z4`Xs_DEDIDEb+~|P_Es}toERj-iJfRRcn8Vm25RB-X8p$$c0X$E8JpJ$31dwf007; z37xuBy~i>Q8fvaAzDC4BC;fVz-hQodflex}x*RK0iz_1;bW(8`Q|P1^;-Hgah=Wc# zgHAewPKu#D=%g6V4>~D^IOwDp`h`x4QJm80?)rc_F&~}OmoC13LFMZgR7PF;(;W2L zdK)v%wtzZuADz_A@7Fg9zP?dF-=O&N8wEx71k@?kM<?~M=GTvazkUS#@14!Aq9?8D z)YJ^9Q$-)0s$~f0S;K-{113hss=brW47t}K_C6%s_3(Fk(l+z5xRr6P?}I}q*URR0 z|G_n`VG_ZdewatHZ?cE;GjBS$Qr4k3Cifv{qr!RKgN<D^I59i+M514-J?x$6TrB4B z#vNPO(3Ry$Dv^u56U7a<S<02}4n3tCdnaOD7i4i=O_fJ5?45{NW8n0*XEE%ZDDKZ| z+v1C)C?Il8Z(MNIx$#+xMF@ty6U7Z~n=Zce17g@a5lcFJOnke)C>MJty<hB|bcVf? z&aihHHZU9SS-csu_oeH=-f7xTVZ35=PWH`#+=5~6wDWx)Uiedco2v`OVefR{&n!H) zNky~4-hzT*?^Nkv7=K**fh*<G$XK;^>ic^@ohte0<en446JFSD<~(0WG>xse&I~#I z#9F71Hz%j2(_&tBFX=%uX`}R%>t)Z`A7=CddH}uC5A#SCb|Hjs9sRpme>TN2IW_mX zhw?-_eltTR5VK20{aWooC!IOGaewFg&5SQiYC|WAn>^VxcNNYi7<3}G{`Nj|Sd)B$ zK__C?7&yJ{SqwT++>$(7O><bZ$ThujqyE@r-bh6ZI#JyHhO5oTPiRb`6R{hS8_ffc zi9sj5U+APW=%h2~RH=RxFOut(>&9ui4(QaVXav7Ctc)2GMhrUr`ye}Cb9b`&pNklD zDpTPOyEWv4*=QY|Gjxi*o{+CDbJa|8xR6(;*~bIwRM|%--F)bzGeb^4v9HzX|5kM} zPY2YgijPiDe_%Y<i3H~8ZB!tklg^;iVozD#pJ#Hl*pgAiF{xPhnnn17!X0gKo#|EN zkj!io&ZkGev4y-$D45d^^GLS3MmSH<<-KkEV~S()mA*7}IPZ2K0o#3@m|ZfxJya*1 zIb__R@1l8$q;qW>(taayQJtD)EXmith>4kcF|A;zPOA=;=eyDkbR}7uMKDw+{d%3U zJ)NOCm7P?cCvuiDqjKdExu%Ru-LV|+P_?@G%ds%QP@N96EzOHu9ALh8QYA-qnz61d ze|W8-x$jRJXH+M>4^$_ep*rad)#<y_QQXsb6uW*XvuF?1>Drt^eEG@dtVv5^s7{@` z72~BFUAEotK-Y`vl)qaPFV!^6+`FI71=XpUyQKK2Jg0g4zueyH<hdA7r>Z_WRUK5D zZ*Fzh^>=S7hR{i8hMfM&8RB@aS*zo-{Xz=|ldSZpiu`Ka99x&F*4}Ax>$1Gvlr-$e zbu_I`8K*OkWXbE7<*Rapux4v1j>)NcTSzFIFasO8ikMw8Jr_FZ%pv1K>vKM1sA=mS znMUM7rx)(3{8qKcF~_3mB><hwMm71lcI8})!)Ol(o%HK<%Jy^yo&GCYizkXqZ>~;A znwT;!`eaRBXK-$_*gH}TI+eK@$3yzoHLuU1>4Hvqr`6=C-bR{Phfywc())l;I)hF+ zgHC*3S)OIh1Xe#OT?ceJ+Oq<`dZh`=k(Jp0bUMZPqitJkod=Tc(8(QFg5N3A%8VF5 z`#9*dy<IHteyNbTsAYs#C*xW`ovQihwEla}Uld(#&PhbwK_{IVa{7O{5yMm7>u9DO zNc$uvnR&D<&s#IG8GehV-yzwmrzLsc8$(^ciYHzxopk1raVhVV<o8<*a4o$@aZFCl zrK2VJ!%7`oSKY+ylIgk7NoNijSMYEdKBoN*SNm-=Ezs%1<MKRLuHt60_o)SgPUCmj z_~*<+&F?DH_8dCt*Xxw+=?pqubum8tl*@eAg2u{}aW^+H9-REJS#Ak2==6iZd6B5A zW~ZWg1%pl%wlMy<<_R-j3QH%w59p*b=%h2~w0Tw~{<z*jTkGaDAJAz}@`^lkRHUux z;B<mPr_<RvuVl<}WsRda=v3=@1iv$7gL&a9l?Lc^W^Hkvz1bG?`o$bxog!`p)Tz3U zPF<??;vZUEHw%BD%Y;rkGvxHIJl%&EX}H{cSSEvrW0LLd(VNFCsbE&BPDA04tn-~7 zJf!GMSBD}W#Be+PFpp$K{_epKzMSF;NltN0PR;nOJ^11?!(IQbcrT9alIiV1C!IND z+>DXE_@-Vt%soFQ7Uu$;-f!x|pPd|P{`Q*g_MlU`etr0Cw!_SPlNJQ%q+hR7wx=`b zv}Q_A-njV_b8HK$<fe=p`EySmJ@L6&qI`bApwqtgJ^8VzugzjrX{!sJvUKRl$49<2 zb0sb)7^;)r2XxXIbkZ4gnswd5hc-KFTNq*KlrOD=C(M`K*80~_(Fb%Y{mUSJDD=9k zOfganI!zWo+kbYz9kWCGtb#$OL=!sktsS13pGt*!b*lCtpiVV>bSm-g7e1{29#@sp zbm`DZXNH{qs49JV$mZ{2zGqa_nPih^{=^$K3}#hs)2TWnyLYBNkDAbftvQ`SFsC2p zk?hrh_PkyA&#c^eieqwWex22xf0L^ZyLOeBT{68r=%h1;jEgb4^KX(wut6=XJG(A7 zd-FGO^K6&S)4l;ZE#B9cdv*<vulfs33v|-2*D2f68FaeB`|utSZdb+1v`CmTZvL{~ z{Qa+oT}9tnI=wj1lYf5x$aQZjG3b<|Y;Run)t|0(btxA*>3u*aok1s^L8n1?>^yk? zURJsv9iuu;KiZyWTQr@09z+Z}{l1_Z@6b1xJxW9`0qFGlh@BT~+S|O<zOZ1>sX^i& zc&_b5%!Q||JG&lF1L_p#qm#Zaf89HYmw?nn9~bEKe{JtH<#j-vYWnD;ughQePD&?z zT%gncwY}4(j{$Y6<)hPu;gLM^=lSNnM)K}Ve9CSZIy2<rR5CUP&z`=%8Ed1r7@1@} zGN<8JYrc1t++qmkkZj|BNqCVWYg}C(yb!N)ryu5#?ADbe{A1GPu2m-}j>(F!e{&N4 zKFe%Z+7ZO;lIiVXvD2AD#$9cal6P$AaZP;sQ5<9M6nQ=aAF(O7xh$R*7c6$EpXB0A zV!N4bXVQX-#ZJFoR41K5r@hM~d8gIq%(UletW4Q&p#)JppX-i!*-rbFi<0#UDa1Xm zg59g+4LcUQW{slw(EiWO!AWTEN$2A`&RFd9ezDl;j21G(7(F=`KRfPs+s58BA6V@A zKgrI&tv$jPosk$8y8<b*^R>g*$4|^aw@X;;nr}|YcW$toPwUflV6k(?X5+tgoNR`L zg?RT)7ZdIe^wfjeK03|(ZxT<I?6`S!7Httxopfd}I{lt|rt%Sw$C{Vk(LRJpc0c7* zzWTp&uGoY$H4e!NXPL-*$7i;+fAmQVt<w+lNR}z>L|&&#xGmFZieqvbTD_gXS8t55 zZJS8UE}7mQbkdna#_gyzh3`u+#&z1ARGbTR3jc2^pV^t2wbszEK_?rZ$`?g0FmD#H z-YC$o*D2f68FWh4d=l?+<G5KW4^5vb<Nk`8#NVzuX0}>I3_2xUJ&`w>e$f2TzNlc( zsZQ!iJpT_z%?*WUzXF}~KA@A%pp(v^)6?bC__;$(+1WERAJEC2ayp+;GbyW5(|X_O z1E0><y9>MKhFR}BjZZp~w}`rL=D$k&VCWP*do0g6=$@JC?|fdJ-XssGQym|j$}Szm z8}<KW*4#li&d^C`hMayjqAz!3+--(+A<LO$L*jqrN2@e5%inz?hSnk3{Qm8D;s(cE z%`)E-%;|@DBzymTJMMHGa`k_FQ^YYjH8UgH@t@mobB!BK%r2SU9(2-~L&o*a(~Vcp zT*gdM@3}aJPLq@M;>9jaHS45H7^`%0*X++XRXuKYh@!i_*)mtZUZ)=hou)4z#M6`v zaYqcL8*Ed?UAsGow<?~|{e6-gf<dR29ft6o>vFm8cA@PrbV{9nFwdSVi~D$0nnLKL z_Y0kL2Ay;Uofbw8<N2<8Y-6%o)#*VE2ftsbyY0p_dP$)=-R(P=A9=OZwYe&_kLt92 zQ9E9_({XdeEqVh5I%R*|oqx>q+GMrTd36d)6HuqRK04(t|0~bGtc#iKB)w{&lg<n| z{ZrS><ijVOb}e5VCgPZ6=Vt!O?<W~(Tl|sUI&?@jbC9TZsp_)YTj++}>4$kFtKM@G z|0kwC+q8+|n4Fr!O$FQ2gmqX)%r2SU9(2-~L&iOAKAr#m?3gXViIgH2I{i>*Cf{>s zOMHpJ)<?j$?`HD+WmB84chIyzC;fVzvOS$arvu+l=k6CR%t6)Zb2n4QElxL`e|p>4 zyckb+#?WbO+G)Ic;cDj5nlz@+>FSkfeB!DG=Eq4^b<+EQPCA25I)hF<S54xb_U&NN zt8<G!P@V1_ox-=Q8_SN|AZ4Lb)p67Lhm>1w-xZ-Zf}qo#B;$DWi5=#tP|AZ&#qv$& zmpqHi6cepGJC-4!PW60rdONc;FWYarSz}>3(KK|@nIWftSnVi&a8x<-<y)&d4ak*) zFD|p+<vN*wa%Eh>bD?}<?6<C74PJ@icKTr+$?_fy<yjL%xC)o0I3}m&`Seh3)=uTx z`u?Rjwo9hB2c2~0ka1O`v+^wc7PvzG`z(&3)5#Qh`Br-})0sbsI6o|Qsg4)sCqtW< ziTjau&`G~ur)*DW&?#<8Y2K&BALbS}jg=|m>YXpmi+#Lc4$VjJ|3IhClgskekqO=1 z7tjI&ojztR!z&;E*L=T;-l0cz())l;I)hF+gHHL%NAWWsld~1$Xrlq0ei&4MS4nW# zmZc;y==A5d0=(zt78Pbzr?#Ne-fCHSo<Xh6&b#S48j3%|$iBG%UtM#YIeds!o$T2H z>QvuHr?mYB@&6LuGG{!X^%gqm%#hRn=G8BJ`6{Qm`5v7rlWc3}AGqyZLG#Fu^j4$; zarxSE+ojH~1)pdboqm`{vIJ?wvr~?@bj4n#I3}m&!I?JvT-x%k;lqj9C3~Z_2c2~0 zka2%a>%wPtPhnPgMtY8sENysCel|ld^UO|~KIrtHrynmkX{-6o94hqCNxxnva<y@R zPW_q=;_p`^ayLI^Ep}ta4dT^jC3ipjVzK*tcrf2OIh{Mv@VufAx)#F-+Bb+#8yD<; z9cnFhdcV*~XV6J!&?)u%!8~YmdiJn{rPIQk19_H#@wUo$t*v;LMg#alqpa)Derqcp z9Nmt;n7+>}BlnchY52|Ve99}28D2eucd;9jJD^Std~{lQwh`wE+MACm)2Txzof&fa zFLq@7vU$+8?*dgKCRy3%d3le)gJK-VpNJuINH%JF8eVkCbla!<Hw1I~VIHuVX}BZJ zTwC@V6bGG}R!PG@hOe=WIz<dR>Fq%$ok6GU8N>L-dMRvW@;wr{(5X_sVtjknVAqm4 zZv}%+=jT@8FE%GM7Y!xFpp$;R&`D>|X{2}%MeTRH%;MW<3Qf_bVZ?20%ro3RX=YDM z<9AWA-|9Ex<;o{>58qB7JwvB6*_-gzSFf7gCeogb`Zf%`59p*b=%h2~RK4K0yyWN! zto?tqFN~7yWqMkeH(Au5-6>7&qdFz6S%SAdpM||SMjHrJr}N>(`F{;oy5{esmlSlm zQM59zP@;(0u1HF+POBmU>eSFjr>w_@@$Pw(n3wEy3eZVs2BS;Qo4W(wd+<)o!`q|| zlPu_2dHy=62&<d>AHf`wr5KT!e>y&p)qL`&U`{{GBUzP(nfb`}4i=Z-B(*303}fow znRuc$BUxNDF}q}Xd(cT|4jEUzOEJzutFx_fG^Nm~<HdTsXZU5?vXyjO0G*0;=+1{8 zZ4tlr2~{!Zq+hR7wx=`bbUDv(zN+;+v)`(qSfx|7e#3c>-n-1~@^eP$6k2#BZ$2xr zJAFk`1UhXwFq{t`d(7-xn5Gpv>3u*aok1s^L8ou8Rpf~ZykK{l(@O<9RST)e>lV7h zLI%)>RM2VS>^i*6#H}pbYuW@rrxSTw^KVzKv;|$Emj!ehQLHC_){(i!&Pd|b>2RTd zIyLgqsm6i@d_b-u=ANB&a}J$!X2|K!dtf||xUn#%{D|u!j!D+7c?UlBc0JZ0>tV{3 zY(}24JX5@rUG6|r;Pk^hk~O(ghW9P9lyw?RanNad%`$vt+-erSml$-?+k;LzgHG3% zH0OzD^<qEwJ1BCY)91NE_{S~JZNWRw2nL<jXPe5aPYrS%eniteTl^V@e!b91XLLS> z(K**b-mBAY^Vs+F-j*qud%{BAd-FweNgo=&i<0e};pERoWprOHmn2r{G~@O{9{%p3 zX}+cE4xRKqpp(v^lg^-1zargv_G6(uyLn&q37rl${87B8mXbF-^-wVA^ziW@Zns}y zEe|~v3_6vbGL}zr-?G)2O=?4@6Yr<<qe%w44mk|3PEU#l)TyzLPM^z9;6J8JWwzV# zMsx?AbY?Ib%GKZf%vY8Pvqd$%CgPZ6Q~zRoZ^by4=I#;7m8`^w4E)izli8bd`vi0P zVIIla#bw}`M@(fA4=Ij`Kf@TZJ3X&aa~7MNcfUBcOQyF6opk1qakfq+c*^}9Se}%> zi(}~Y?fquF|Iq|2$zn^Vc2frN7VV$!f4-e67If0D*D2f68FY#`J%QIqwaMHVLzT^x zas8`K<V)gCo2Qbz7RS)()R4(MEz9gq&Vpi<PTj<NQ3saaHG4LreI|6$`+!b5gHAew zPMhN5_}SaZ_`;R+vVcybT-Eu!af$ebk`DxfPI(42<(1s$S*GwOf<dQwkALLp%4cN@ zHq&`Pr;)XX@v(i^#7{`_(fiB2Y03rEsmWKJzUuV<Q>W5ApiWJFbeg$hJpZ+N|Crx5 zPyt7E(wQNv$*`dAyz)fG8kV~);+SOJg3Iz$N7u92Yfe+HWCy+p=08t9%}&3fD&h3Q zJd))&m4b(CILmtE`h(gNe})lSHU)3;>TkAbA~CyUdV8o&I&;Xl2=RO3yW8zyor}`G z3)QLn+lG8}?0ELa;LCzxu`7PPKW{fEgq_Sp3j(T>e!WiFp3YF6o~N3?A5O1eF4;$K zWSBB;@{bev-;;)#9XHYkL#R$6;@$ICv3Jbsm#7j^^)QUJ<^(=_@oY2s@i*ca)k*II z)k$ZlPC7$%T6C~9Z=F3KKhliewncS{`l}3I@F0w@=uDLo)oI4znmlu(WZa0N`9*b# z>DY}|`aGQ7ElcgAI;C?B<vq7OwN>qz(7V_*tr}3LW<ENVNWO+IeDa5@XmMIcp_9%G zM#Ir5Y7TGw<gl&#NGhaEvKWVh*NmIZmS#C6m_xFNi28h6tBb6CGM8XZKg=W9hI{pR zroETgkI@vz#GheouU?P;u+YP1jwfc9Om7c5>C7SH4xj49GwfK)_N6%{j-k`}787~b zp>>&S<3EByr_GHQ^76Y&*=~2EX@E}p^*UvHI)hG+8?NEA_K!9zgwfrUDdV0kS;Ole zTWbEElNfZ0F1d~`oBPZRYe9-Yrw+H*@QK-Xn570=TXDS)=%h2~q%-K$_2UrE^G5TJ zL8K0JN_*77d;Xq>Kbb(=bLg}v=Q!T{lEK%0puHV*y4-grcjZgYjvlpidT`dsZ)YwW z-!p4cuTFhy1=Ojzk4_Dqt>ZNo#K&wnW$C0dLr%YY-dz4|wl=KkI=T^Ol9d%7CR9j! zp53WKdlQFbvtGsViOIj=T?){a*y)FPB<sH|j;D%F!I_=nnD{e{1u5cq^@OSTpZAH` zCDYr3PC9eQxGJfB=C!ijV-X|hjuJYZ-9M4vAGCsv`;PW|(CKCwCx85NLH4#jRT$`` zU$0ZPr!(lZC44<U-Y&h#R?&9alyPS|tmios)HUb6Hw1%DOHXg$3;BN2)`+SQbUMCx zJwI@^kNHr3`xMnl?*lsN3_9ryIyt-c=I^dl<1^%Ye$eU9B>i|)IvanHgU$sy)jv0y zf3A~_cP~S_L#MM-XY<@ieqiH=(;FG6P9K&m<#W=UwGCL9+^dtbK|q~a_~^8~`wn+V z^J9GRIJscSZxravkkcQLTEx}-jUOtxR171Nj8EF`ej)C{%J*$1m_xF36Sld72d?8M za()!YPCv{e+2zpf?nWur@p^+Oj>)OH(_x4E^5ZqUWS38Z*(KB4gHAeg$hdb+w!3?5 z+Rl^bww|`R>FRd(=%evG#lq1d20BIN-{Ich?{_}F{3gMmlYYHU*`Cgz)9Gq1_sL7= zdEF(XjVa^KbUxq?`}GpfdH#|(hE6xjA9q)4dyD5EMk+z4ZddlX&;53uH$Q(!FzBTB z0iARPopc7Bie=1tU`g@^Y{-toqCMzzadD;tCr0MueQxX(3_AT>JK2F>)=l6Sb8i+5 zIz4{-t2?Ij6TYtbO2MF0-8@U&@ijgCelwSMD{eLms8dTHom!7r?T);0jK?PXOEite zPG^Rk{sy^MyDM(}jW6G^Si~{ORxMiPUiy9)?=iA5<w`bw-b#1snd^AgA6|=Nryu5# zY(}0{?oQF`_`!n|$3(sm=$F;*@O*1|zeR5ZvrDG82c2~0ka4#<t#S{zy`8Tw9wUy& zNcR58DtG4`E`BI%lsJY?+sm$Y+wT9)FYMhQ7<AIF*C}A#(Iyv1E_!3Dm2-gyyY z$~gP{?e3LbFY_~tNhRp?ZnDdrZSZYA$W3>T(CI>!P43(m&hzTARC%G3-UoEj8FbPa zbZWgg!+{3nlkw9<XrBq4o?i()@F-1bzF@{4!Jt#}<v|BR-%sQG;YPurQ`014+^-5f z=HLE5_Rg|9iluAVjV8DSh#L}|V8NlQaCf)B!QCCs;I1JMXNVFbE@);qa<GH|2`&S{ z-Sq%(RqX@wR#w)^54fKX^I@*FyQ-_}n%&jaHQk#+8AF}Q)c1tMV|U5b`p5q0^kh`N zI*rJs(-Me<K0U(8@K5}L9d(kK!n#&bt~7{+8kTx;W#bMOrwaD|?-)qkxs%+z+?H=E zSjxBq;N`N0v^TrSzU%W~M!{^a9DvkAtI4y`JWgfXE6VOyG2k4&idc2J#hANba(Sqe z%yc4d5n<cb*+$l;@mJ`ePBS0Iz@^pRB;Xj|4s|*+AQl>33MAha_%nt&$?esP@??fO zjV^u&hEGZ&EsJO@#vtNG^g9Yw2OcDW54a|%lTGM9Q2FQy(ra%fW2n<z&x4Sd9#5*3 zOkfOklIuX7WQID)40Ve8r=)g!?QV6>^F&r2>J$=GTuWH|Mt!?9oH5kt>X>g}6)}?Z zN!!a9>h!bTPI!CjEC~zP!x-wc!!H27E;~Zj^o;tWlll03bsCvVr@}K6p<%5i^szag z{70Q+rm(JMOTEq{!uG~Z=$ErRsjGt77fpf|eHzkYleaRa6RcmaL|D0|E`_r;jOp`W zM!|lOB&ge?F7;%ulm4yKTYU<=JXVJqr`a-wI?3gsPBKHC{(g}NWz`0>+LXm?ThwWR zSrT|zHl{8O_#sD~{Noeh%A_Xr{Uy_to!nm3NoJ^%I^hVMGiyPQy)Z4G8`3Nd>iV># zPkb!sZ=L#;ISoBrR64JM9b>3d$oDv?d#W`(<)ko%I>~jQPBKHCWQIDeY0^)dIxLoi zeCK7MPD2~_)TS-ZB<?LtS9T7o>S>m4W$Btyd_Pd9YMWO>+eh7~Yw%UZP$$o|o=`f8 z(3tn8d8Zmv^VMloE}bgviUu>+E;MHbzax%1$xIR5-`(;6OnlXaMmq8Yt_pU0`2lFQ zxf9h7_FzmWSm`U#@Z%w+dk1qR^m#C&U_)~bKzIzLYgh9)m3<VY+?qJ(TAk94A5A*R z<)Kb8L!Dfv9Dt3RI?`58_;=Ll;q(L0-JuJuk-^6js8hdB(XjbT7iu%%3u9iQUb(%f zlgv=3nM;x&_<0W+AI?__7{s=VJEcPJIlXAv+5EQfHNhsA1!#M}ADz;$8e^!_95*(o z=-ii%8f&_;lj}g8WQID)40W<BFiH#Pa*2>3rdz=NHHT;ye!eHR-T9>gW~VN7n`q-4 zs#4Dp@7TVfPDSs}fuJ$&wC*Y+W2n=s7n`8|y#aKyRgphK@!qrZ)yX}VP7$la;Mnvg zG^G<?uz@<sOcCAx>sA=loY;h3>w2B-f-2aG%KM?*tcEo3&1S}Qf}I)}2CH_~rQ_dP zGN#Xi83jx3vmcs{tV`2vtay3sqbL*NBB0!jI#jowGk3w{@=zz4=|tT4A7M~&SOa=` z*#h<*bxO0^4;yG>YD|b{40Wn{Dhw(IHlc0$@(B;rNp7!RlqWOP>D~4iC^@MGo%obr z5gA0>{mJq0rbsIaI@99b@na4{(<GHTB=A2Tp-!cmhd}=et?A+zKL3N+Nv;ERk{RkG zGt?<It*2H$<siurw|g-=&6(Ln`_=9`S@(ipwW3Z**K26wM^vCMukiUo)XAd34DcP@ zjV5RDF(B&Hd*^yEpH8UnnScMB>}D>^SEtdrbW-X^gHu{Xy5yA;YdY#AGevZNeU`<_ z*R!NHq5M#&g2g<GhB})qX~{At*ly_rdp$QAa&A<jF;94x>hoYm!Pd7s0Ox`$(e$4@ zPGujq=B9HjbhfQTJ2l<FzPk%1mxnsZOef-I-id}A9W80ZV18mloosGI!^?0>dT<Iq zl&DjI#nBKMSD6+$$-4@5lH02n<;e_n8WtK4Pa9j)p*cM37(`ro??iA2x1nuR7sjp$ zw*A;4X#doKI;8PscBoTW;C@(C%aMl6G_4hv>p-1khC0a%b^0->rAGeUKpHPHE$)q; z+e{nyIgBK#{A7$e4P9)n4Zri6BrN1v40U?(ehs|Ms!vlF@xDZznpW8bqjpxIYUzr9 zveWkE`RX(#mrfDw^blXD675#kq?61P(fvci^l)IbB`yAl&tIs5Rs2^E=24b3(31~M zb%Kpwt%oO%E76}z_{F(C4`vjM_S*;7k}A=0+j*SIK5QsHI0$AotwcReaON(UTpsEq zGo6SV{#p+?Z2!L8<CzF`8vjBM_byw~nXmX_Vbp2U7CpRvTA79yHt8g{S1-zw8R}Fn zGX(1Gwx)%Qyh{xtZtuA;cx+)yD_5`180xgY+yQ8~z>%I|+4r|j<&C}&)X0(giDh=Y z8x=*a<G<`A^#|%C$DvMjKDcRSY>+WLnXgl;Bg#7$+emwUB$k}==GhZ<dY@^j{i^ec zjK6JK?-ZuYhCaRP)34=BI(@9S4n}sXLYpiyEuTwWov%)R<<e>8N<Eyqa-F1a<hy{` zNoI=5n_hdX9!l)HNlJ=4)2d)UHtJ!X#SQZPPzpP=I>7=y?gjVz*`!WKesQkPgBb<8 z#JV+nc{WKM%HvegHMNTe!n{>k<kMEp+y#@%L!D%%6LEKE>0w8+>tvE=1pAIUx$o7( z1$vV>t<Pc%b&6p7ylVVSQhVkv#=OL~a(nf8Fx07It5E1?$RVTJThQM+weP$ip8R}7 zJX@MpV-7ri03NM=Lqa@EC%baB^ic8Kb5d~xU)qK`$@QX6GDDqYhC0nVZKWMKP>)P; z<1wgHl{b~O^kbt*sGg6{P^V&F3u}WQf)F!>G0aYuzjQErSz&5!<R?YUPVN?4;AP}H zGBv_9D}HTbzB-M~rPJ+c(Gb?-I{Ds>CrH#uW{T+k!b_qdtNBgh(t+QcPzCc{6b*)~ z>tsaZgN*3}tMe!d2As|&SK>|CNoGb7XS+NawhqrGR%cAvDf#OGsNN%s1Qp;qpic6( zsFTc4r!Vf&peuNtR45t6wnd$+wnW3@S2xICMfey2b*j1`8oqzLL8dL_hZl8{+lxBM z40ZA>p8)56+$Zs!xH<+_rlK6Km;}RI9+A`m{3Lcwu=X<#L#aux$(Q$hc>YANh!;@+ zsn3aR7|#-@lUxVtBs0`WW~fu=HuhSb&o-p(SCdX=iMComquykDr=qM5)M<8LaV>Fn zFxePr(kb!X7N}6L2wfiYiR~Ne6l(4RZ=1g-bK08!IoT;Y^3`cvE}brh#KI+edm3MX z9}d(>W{T+kbDv|Oc>@PJ{_bnG3#wq18pnb0h8=xdn9p<Q1bgoj3l<^PG&NxeWBNRp zQLrDg;^5OXYYIjlr?QWtBy386JNK>VseVJ*cXz?$@=zz4=|r4|LmY(Hx1+xlZ}uH^ z3TY4r4wvm|H;40#p-!vs$HIq74zzeDlTLDb^`bnPp-zkYra;APXWFu_>B{bG>_Lba zUX@y(;h6|^YE~6sRAvpj)u#$$sME-U(Ga-Yh0;<co#Z-DCz+v6GDDr}l%?9>$ekp) z5uf0}?6hlm8*Ou$IC3l6l%1}>bk-tXe<K~onr;C<*|ZkE4soMJ&%I)8MV%(5dP1|t zwdojtlTMC%^3`d4E}fPh3W9Ne+0(UsO%nw&Q$+WFE*=b5$2!n%qxdeUf-UP13`f7& z(QTW;7}E(hB_arH<E`mmHwH4M&x08SOI;BRMgO*@KMD=v<*|>V)b$I6Vn40ul<AzI zPI7sulgv=3zg>eNsjD6Bzi|)S7Ik{tE*L8Pu&2cW&oYKOmH89|EqXc7v87BWJGs56 zlgv;j*QF6K+^q_I+LMo03}T-L=S0EW(^cu`16(oGsn>!;=sB_`ZPmh=G1TeICp~1W zbD^z{b8Rp?$#tMkGDDqYhB}S#X{|Y#`H`HN{E8fPO7Lo~Rn0y~-W4_JG`GE-R%5S1 z6YKuV_O~;ORg`_Mb6{9@6T1C7zyFFlRX?#Fn!l_?hnbsnQvLJQX+kcY%vuD)fb84k z)S!Z_D$GtYQ&heSTb+YpZ|hrRi50)ys|uF&AqXa?Tp@j$@r<Ao>`mh!7~^_@y&t7F zWBNRpQLxwNgJ8$m3^M3Ak5k!)y<50*2)LY0Cnf6jVc*>algmS$WTq2ww=#pE`{yiD zu^ykaK%Lsz2gAu5*U2ek5@V>-PnTebdV7l$%P=zLCAO8@tIva>PG0RI;lRWv#L$Fy zmqEm>IuQ+BZ$2kI#L7$5=|V&j*uVZr28gRi)M;GjP$*gJC7H1F1KSRDlIumCWQID) z40U?(&PJ>Ks}9+8^D8S4b=theO3MlyMeb~U!5E(GB1ab07T*jfcY5(vw5Zec&nw|k zi^BA3>8p&PPJPn0!E*MG><58w{!A2149ZuhiMezdT`dlpcfU<OS@J73)JbNF=>G9# z;$X^^o5atX4{KGyX63{}>VhleV4M$QI>DAzi-i%DE|8Sj{TS2d!Hj}6I~og1_Gb_$ zJ&#k_hc&iYJlyg~C(|nQXW!iglgmS$WTq2wAJSr>Eo70C!CTmO)aiQ(b~0Xjos=4x z!Wil_-y)9v?eZ2$>v^9s)JblyUX&*@)ajvBD%1>pOe!@mN`LG0ZO0)n6nakP3@~F1 zbvisqgU**fkjQHMM1(s1TRZ`dR(?qqm;KDjN1fz4P$!w8PBKHC3=<u-z)ser#pv&> zJk)7cAA2pja!-<ai)S6wsiJvF?dIknGJh>^FX~k6`8L>)R+#p^W727Nf*-6I_K|!! z|Mrhg>%;TaX;LnoeoRb&4?!+8XP;>rQ)Y_j{%vsyFfG-Emi=~%?UpLo#XAYGx>7Y- zsN62bbb|G*odA~)IMVCa>M*9ygBb<8Suzps&Ud7`qIG$B?4u~R)MN-{^EGvsaE3a` z<)Kb8L!H)~NPq&iRcY(MRcu?-i9Sq#1<BQE|EgRE)G00?0a72i&>F7%q>Vbs?M0nr zhB_q_KMZZx)uF5Em~OH(J$4kT+t#CAM@`e1Z<?P1eSAaeZ!}%m1+0n#LS1RXGll-v zNv;ERk{RkGGt}wRm@ZngL;l3P6VH^W)B7LowR*`%$lJ^>tZk^%xEn5--{QhFdn8{| zjyiQ*ycU+|+R)XdZZd}1Y0K{2;NaSrh8FtuN2mQU`RX(|mrnbag~G}wE;Po-cOA2n z%oNf6hfjop*$Wr?coE+PRj_7nLfKfN8r`{PCu2In&a?=Htiz6U$}fH^R-Xqm3bxxe z44$lG(|R>)@$%S5Q3m!2hqLS{c!xYWL!IREP$!w8PP4K@p=i^pbPfBn^>3ZFeh!66 z#_F_iSTbX%Q>*w;_-bE+PKx0t1k_1xFX|*S)M;|#1MFDUp*3onX2nmviG}Cu>e1;z zT(N7cOhqx@au7DFjc7X^A5UR+Dha_bshcb9M);Twvy)s0>LfGNNoJ^1m6z?cuNA{c zoz=W7)TvAhRXeuiBq_6sXF$~HhpV&pY@ZozT;nNYsME+&bKvUt)>LW3@4uo>-2*p( z&C^D7{dLnlyUe6~b()e(r;^LVpzJ@_$miF5<`{L7nWFMTl-?!`oL*gKFC61tqY8HO zekjyVJxiwi;J00Mf@OXSf!9q9q;VyF-%XzfGYa-$b13xBOd|^6ai~+-Z(*?U+%Xas z%^B(>mxnsZ40WoS7z$xEPZOPfG}{)l(`e@~m=Jb>B+lVuJJe}N&oKD1I-4xt#8&{I zPI7xuCz+v6W#VGsM!^R}pTbo%u#chyc*n!8@W*7ZxJp8u%4&z9T90?+j@iE~26cK| zCJH|6cu00f@e>T{B-epD$qaRp8S1nl!&(a}<3KJ?xW&ptot{>()P}6<P3HFE3!G7> zqic(3Q(NyN?I^!<fjT9vS_4kDzer5CLyVzLi(+=d{I@U3il&$UWT!WW^VMl;E}h0q zN`!Z<uaQBsd9zU`nJJ?C18XP3i?x?YV~-RTrwTUrB0HHZJWE=>S;n^&Y{>I?cw%QD zJ6_u}rq6>J1#7-60a_hMBj@ZKczNu@X2qW-LL1Lxq__uX?t;nXp-wW>iMVD#3E=(y zA7b1xmVHN^DwR!y75y%df8X%29qN?PA`xa=WRu1vPcnu&$?esP@??fO4Ow>t`l&gj z+cAEkG>Euz6Vkx^(jyY`>ka#kI(?naRunXNOV*#}3u;lPrI%76@b8BtOywB?b&~5q zon(eO$qaQG-rhm88C;UAe0iIdhdQ0VYO6K;w+-p(pUD{NRL!-7cK($Qxw(+H7j^2s zU?(J$S7>b;erp_cIux`Qmj3;Uc#h8cqm!kUuTIl)>C|{@3_QH%1_OP>jS{gMQ)Y_j z{zDTFK+cu+aQ{vM+XYoH@8;2P_ds9R&_9SVonVvuM1f26FgQ2GlQDfB%qZ9?yC|5n zYB-!)$>UV^VKeW(k&xmu63mZq<}R3A9_l1BorrV)8U>I04FG5TUiKYzia!+%R-?MZ zIFCriP^Y!=2Y|gb5t_f{KMT}JZm(XHCo|M(VCf{-xZfTMcL5e-5OGI}ra+y8m0+9& zXQ<Po4oBg{@t=n5*nb#9owfuYftFE@(5nvbYSc-t19g%a>LfGNDJZK01aI_!N1u5e zsMGzK17Xbib+G;`SLZ*S3@bq!G6jy+;Mo{;y8V-_B6)Yw@U=0IL!Bb7#lg$+rQq+d z<9~E&b~<03rsvYB-<?=^S<n?O^*hLl#_S|BMRfn{m>5`LslvPV5iCv>Z2sH>(0oB} zsPVUHqTn5y?XDL%3~sF6#NtpVnW0Ymx<|vOMZ@8TFOO5%M^Of(M?nS8kr15CnY&=} zwy2ZLbRzDP>jAhI(+}*Aa}`mi05i6{?@?!{bY&l7s8jIw7^wK9B{Z3GfHBlbZm(XH zCo|M()A?jLIJGjUHTZXfh->>i73PdA1B(i9c1^Ip`_dqG!fV4kcH;i6(~FQ};62+0 zj%lYDL!IP0P$!w8PBKHC&YkZD<A&~p`s;WdsMD*B!{9-$wXkZ^5ynubH^)~)dcBDd zwTAaE>SVqC01UWu#*i`Bl$~xy#Dn!HGwAMo=#Nf=GxF7GMlPNFGa_KsqFNC3gs&w= zon(eOwf71Krv|NHNI)QqL!F-V+YhtX^@Q=Ue1)b?D0ZzM8)Hoz25n>b6_!2^W)v)# zjceLB8xA{8@;H@!*feHnC^S|_Lfs#nxeF$jhdRkjC*m?o?T3FF^@Vb8OcMpypYMld z|8@Y&%BGXuut(vrV{=o;x)jQ`^Ag+2?bYYOxGIWrq*5GvqFg!f+aAll8wA@lAOQlM zia~j{l<l`p#bzG@@0@#vBVYMA6SGsZS_fhLw#qOnoOeI!B-e{N$qaRp8S1oSPDiLa zaWnXS=XIb?Q=ayRu>Cri|1gm;)G4Zx4!Rc}1%nlSYaDf|_%IAw)jwsZUY^HccKWAf z6a-u<1X~Wq|Ita8m9I`SbLnKx?z(?kToVSz@xy^S$xKoCp<I)=7aB}%38TjIU%D#T z@#z8Ztw2wxuw*;mRxpQY{!q+m7-X#AS6KQym{G9Wt^6VT!7#YEo5!i_!`3?){NQ@} z2ykZ4P57;oT;5C(Co|NkQ;h)Ve5?=jJhGX^V0M~pwimVy=m5X&a&7oND$3)6dgz|) z2E}|s*mu-PZZGO2Gt{YRhcH-Mq$~t{;F%3|a@Z6Ob`fSU%#X8cqK++W!SrzFJBB8i zyt`1R#0fDF(4{h@2Jp;*I>~jQPBKHCWQIBwdEN}7>aT$SLlP?wbxNAv5pqt<foWNM zK!Q4rdOjV_HyZ$36`n3or!rst!L8I8!%}x1hdQ<E9SC773PZ0Gaes8u-^f>|S-Euj zSMi3aeszJ2<(8vPGE-FE4c#v6fp*Q>KxRLFLq!$r)%M*`xJfUVx@$MzRxqDEp0M@P zP&R(zU8>K683oH3=Lwr*hk*m|IMk`*lU-0?#R$0ajx%@mQ53m6)JbMK5x2biZfLoy zFVwijCoTB)ijq-n4;<~+3CceXVBb+ES6eU0y5AhuEau}W)JblyUTiBf)M<?6UKrtO z0bw1uCI%7Lyz@SIdbtFYI>);Pb$ZfjKU5#|$WY6JpJ1MdxStinpw?My_>slOSg4a+ z2kIm<)JbNjQ;=hAIQm=%r?>JG7V1=OcQfewYzmCM!s|tyKHMG!jW+a#dbWJ5h&p}t z*bT$aW*T1o!{bn=Hz_`lQluDkxRmlor_;uKb()<^r`xf6V9M;qa5{orwEw4*%oLS( z&5rfEA@UQ26E9;~oGMtkfu0aEwGUjJ#JfNzSoz7jU{ir%V7H5Rt3D5A6wJKoE+}+p z7`zPQaVq;LicPWygs&X|ZLf3YE|^>%>LfFrh<jq;2_2jD2iJps>^tg|^S~3Tp6?3d zg7-6qI+ee?8)~?<g)IvIRijRFdwE+FMP{f|-J$-_WU39!7=M(-7(`ssUwa{<UIqAZ zn`a%=Y0141=$!D;uyvuv80r*Y5dxPBIl|61=NLns<T_9%nW0WHL!IW=s0Kf6R>I0( zd;$P<vRK*(`VE^7)5h~*H|jL>$}p&#*bmyL@%=@e4i(=GR(Gx$?AG%*)alqmZ`gjY zG%Otie{_2CC|{lC<kD%U!5=PsZw?<T@+$<)PBK$eet6UN`a$749bxP)erQ#}0_OX| zwBh~0yBY5;onW;+ePBz=VQ_R3AFt^1U`D|TkM@Dc@55l^avrC$kD}1q-mvWE2sk2c z+PDiQmxnsZOef+>HS>jmi36bh=3w?6bqZ7bU|@0&nDiI_37}3xpZGz@j&|_Ti+4Zj zB)3;D%99!D^sP(~s7sx|`X}!~gNU2>H5lekv4Sb9IYXVavXKz!TL5}>J<AyC)MtAH z{CZRcJ`cLg80sX~fjY?yb&?tCl(3=}G%CFw>^7Ze<)Kc#b}isk_#)6f<MpCWIj-X% z?9Oo5+x|3TsME1%Kd8Fpmf^gJL!B=6*F({c<$)Sb|Ix|(WxhJi&81UBwm*2*vxKhw z(phz=lgt#+{Yj_%!0@mN41LbKK^1INj4ya@uMd61)t*kU<ClGaHf{<HmzZ>t8S0cB z;R8t@nnLC_lTHoW`G9wJb7*p$Gt^1m7Il&t>eOY9FB^9?fb?>Fh>bcqHS~j<ZEL}@ zo%}?EI-M@=4;e;BsJ?)obWkU`y{MDSP^ZIoL16#mmtj~C&oHRd{K6qHwd@;1P*=`S zr*GvW!M!vX0;XSN40W2E6%G%b3P86)JO*`=>p-1khC0a%b*dFjp>f~>NPNueK%KJf z`oNAoqu^eMX&Tcebsn@T*ajM}=h~r8yKDGDSnb`07K<|&L!Iih-3v7~+%;HTPXD8m z>-&6lnwLu_+5G>@PAsFcL#!zBaY3E_*RoUZuledUKbKB*g2G_Pw-(T;2Tz8mlguzX ztzH!hZ-YC*u=9NQhS}-#un@?(*AJdeGcBKcwj>yWR}O>Pdwf}(USuqpVRl;8DHtq! z4F|hu9;dR8qLe-!1Xp{EgcCWOxeF$5i`hwLIuYk<7Xn!|2SO18zhcAeWb-ft=!l-6 z^Wj%Dn4PlDg~H<r?crD^AOCoXZRPf&PBKHC*4&GNQJ0;ek`JFdGKg(&u!X#z?^}ao zJI;9KQIrml2pyLef~+|_BVcyA(Kiu}*QpBrW3m~;>?GHL*-2)Yon(gDsY~%@kkWA* zSf1i%70gb<ygGx8?<!dLoo7ls**%>-A8JL6hY9V^FoxObtam6l$6Pne@#Arrorb9q z@MU*7Se|s|Pj;I5D_@-!<kG2U!@Y2{(>W5;lHaaGon)q{{18QU-3v(-E|6RO3bHs= zu+>BMLXirYWJ5)M*mQ!;yb}N$>SPe3uSqAF8AV*d8GB*JnRL=U)}&LbYkKIId7d<Q zVA4t67Il&t>NK_EUhvMmKz=mimlUYeD>h8N@s;g!Bi^N`)AM$F;ZCOvGU+q#KGaEW zFX|*S)TwlVU>Kc|MfM#tJ!-Ya;SebJ`YJgX$p4~=I{7w@goRb_kuk?it1&0V`@^Y> zJH*nP-zr9(<T_9%nW0WHL!HdFSZL}uTQasiU-pPPdG)WL^&HWQlzGh;#-L7H4j0hg zmC+OXm3)ml>XdD^5*GISL25_v{Xm@}`)q+$Js*-S*UJ7`-0M~3SblFkSeQ$vtK$RU z^GCgE-th}pLfmALnIgLX<|TjV<mavS|Ns64T*S>E`h;y!8xP@!TPNatSNg$-oh#IF z?@ePTnHfdg^H4u{SW>6HGBfFPQ}GAG!iDPkmL{F#ZBZwgp-u%#_`^=$jjH9Q*grZ& ztn~+doQHaKDgR}nPNzQm!|M!R_1TyEjCrvS`-ii13{WST@%AaoxTQf*sZ6>$ar9UA z-5}V;-XU;e+f8-PbIz^_*3vl=l4=zqe%<)rCowyf`zIJ8{<@`ptp0_?piXifsFTc4 zCz+v6ZPz5i?H&P!l@~s-@=&KkDJigPo2#K1dz{5@og9y`g*!bG+Mc^-T2b&hZaZ9b zb|LBCAF(*psq*PP@L=(GwPTuT`CMv=e05rsOQ%CE{J=48tNLK;H&!(2Bs0|Ma;Pu7 zSh8Myxs%^=R8@X>%}V$}LWiZQQ`BL;tzhei`9P;u6V!5Xe6B~I2Qvy*cbN~=Z#7o! zf0D<k?4u|%Gksub@^H2J7tY)TlgmS$WTq2wCyhQZ;oE$5@^?P$#_V)<s4w^pS*14H z!m}splzPq=LI-bDd+dG480sXqS1-zw8S133v5);7^N>1v{&yB*5OED&2SSU6XVgcp zI76Kl?O`+YpWdr(4S6O<otmr+gf?f-s%69ZaYmiwI#4H>p-wVGoo?QWfy?iL4c+>4 zjZvqR_6gA7bX&u&*Y6m^?9}K<40Ll^+t%Xn3&t=zxmVc+b!OX>y=9*<hB{>w-3{}) zJXI@?fB)xXXDpYmPK$HtWQg;HjM^43qSz%?H0mTXMRfn=a37d)%N`1i<yS<iU~_!D z!F)nZcs+*C2<rqhKj{SvYP&*oTa!*QGm5zL{$4QPsVfxfZ_;UM3opnx-VjpOnsk!4 zMV(}ZI#qV}hMe)WVV@Phr-(W&vtnxRs|t7S@+myj$?k;@w6wQ{1_k+82X&I$i#o{+ zb?SYA{SmC|7sJOMnQU9sX;N4qDD$5f#=YTJQ>asg4f~-_{6WL*f>#(rofdZtgTj}- z7&;8R#Te=&*MU0840Vzj>a<^@aAw9V=&_R5fjTAE>;u*45ZKf>i!sy*7R`lrVNIb( zaef7eI_)p$4TbA%HmrHe`y6$8R?Z)aKDc5iG3U}BofOM_by|{3r#qSPaQ>(bRVP-b zzjczCBD%k8=LA@}*PeP!<;_+F`^r{mI!$(<0XO)`L?_s?jtP+P(~d?t@q1_bJeX0i zX?BTl?vx!}+l<Gl?4u}m+>#--xgE`!&6&Gka(Sqe%yc5IQg{MPZtg%I9O9P>s8b2= z1h_cBfljx4$r$RitY!jiDPm7w9OW<mK%M0F>P2}nL!JD}rNW?6jx;Ku7TeY!;{JYf z5W?m<(R*cim!eJy*=cZbOEvm9y%A&o>BMe%hx$~fTetHuD(WQHfjY?yb&?tCbnX<< z2EE=&&hF#yf<c{1WVF#fT!<!NPW)d<sMFu2s%oo(zmQih{2Ah?(-!ZI;FaP=hh&&B zhB{R+_lBf0wdheZt3P8WNBewrTAE8IgDwubm|N53C2F&x|I1DiQ$+XgC=d@1XV}p# z&G{l=RWREH@zCg&J^dQPr{;8meX?Z#+5c`wz0LP9rq6>J1>5;59wwczV}DxWajNK= z#KK8Ho7vHJLpXC6OfC;~l9^7#t(X-LV>9jP{XKl97j<$N91n>L>}hH?A77wOql|Ho z6l+VL>-Z2Bb&`*PUX&*@)M;YBWEj=Po))iPpKWUpasQS`g^&IYw7-ulW2jT7#YdrA zU=_McZN?btWYaB@t;w%O`*q-Ns`@WGNyiy=lIumCWQIB&>#S<!)3y-jp?tWHI;~mP zTAQ&aiiAGp%A!tQC8}rz%6ukszVgM#s8gS^8^JEA37v9)mybH-H1UEXfi-B~v+Vd! z96eo8N-CYJ=Bv}PTspC}1W?1#j_!|lW<{e;GE+qN+ck)WVcrh3lQ%yUs$f%hM1#d6 z2YRstznP#DY@AIryS->n&AP8)OrHlc3O4(FG&H?xN6U`kajNK=)H1Q~q^BJn<HMP| zU~+k=lgxA??%kSbnC0a_&p+mq0;p4`WzpbX){%}M!pBLdlbb~}%(Qi&$#40gM4jaJ z>P2}nL!B~*#lwglPBi-x&*TOXmobzLiP@XW!&}#240W0wdI$!#aiK*Ya_vy3)0tr~ z*TaS0SY>)ffm{dbBs0`WW~kHhnX0z^-Y)X}CRYb_imKLHYp@`J_>JOMkEqk#WGC%p z^B<(`IMXu<HhfwIOY1hJzifG5qD}?8cd~n>wdmk}re_pPtd*}$%X8`EaVHQ?kFui$ zDw}kYnIgJ>c#k0Vr)US-;|Kr8iz--$s34eO=1A9E;fGcySOoiH)Hn7wP=EW?jOp`W zM!`Op42E(q?C8KoJWdr|^SWjzES+LUM@{6+T`;*k)JbMK5jQ~}1Q(JVXxYSA_8oP) z>J<c5EgWe-=Ld|TPHC<|@UxEt%^G0RNp7!RlqWOPsq@DDQ01``y)NFXYY=gx*v*r} zqpQ%~BVFikonC#6g~iD(v_q!pkr%Xd0OSO_&<)FZR^;8NC~_UBlgv;jnW0WYO1IWZ zTl*1R8<S4|u5GT3ZGDJXUo}0WVB~l^4ayXtBgEU}F*_BiI2R6Gbffi7@V-QymPD^- zi@a;mBiBsNDA?|ruTFpG(rMj$ADA@Amd<*^cN4Rd%oNf6&J%rMYh?#o@Iz4+rwTSR z!xthBInb-G`LI?eShZ2Uu)C%`ecfdvWBNRpQLq>{c18Ksjs}e2ajNK=j6MMnv)qoB z+|HT1U~+k=lgxA?F5rYO^wK%doXg4VJL=Rj#TPcQ{To&D8DprEc~@V!vDTh$?ZC$p zn4RSI>P2}nL!IW1(8H8lj&w*g&qM|hx41_jbQ<JLLq67I46{?WS^L2lQ=J}Z(10<_ zPMeQ-!m$(8X_ys%85-&&*MU0840Vzj>Xhc&T>CacPj*z}^Ie#ou9S7t!fPEP<(U${ zvs1w!D=nmDL0a=YAEcm8SzX6Lg&R$1&S&12s8fxKE1*PZO`34G@}HAktXsZ1>2m2b zF~}R9>|=id_uz*Eb&{DPx_`2h54?ZO{<Ll2NmCWf!@~#C>Nrq(GLs!zonZbAeBf$z zd-~jU7i0Q7m{G87GhaCV$&Su$&*N0lHNg)4&~cd^T{53DcfsWHP$!w`M4b5+AL!0> ze;doY8FlJC-v?%~v0dt;_l%)V&lMji+|Z7Cn)5@BI?3(Ti}GZKI<?&!0CP(@P($mw zY+GKBqI{aD2Tz?Nb^M!WBGl=2#ZVY}qAHyk+=MaIsm@^!=r_L_otMF<Kv5^T4%A6z zsFTc4rv$rZT58?B<n3+#<Qvqf@7czh%ey1QO3(kL+?ah7#g;vO_0h}%H01<80isUB zn~eqEtBvW8tGq8!r!Q0o6`I$eeFAO&=#<$iU!7Lu(#bwyFKljWMZ0(5hX{3&nWFOD z+S5!A)~{@7_g(x~tqSIpsE6~h_O$3Oei(IvB@fp_KTCVMzNjB#`aGCXu!{}$!GK40 z)W{O{Z=KF{41!V<?dZpzoVl})qR8c;PBPPpxVo`==#Xkp3#>lPzN1bSJJ|zyoS04_ zd`<{;YFJ4R&NjC6pDg}fIn+sRFX|*S)T!ivV3@JNj(Qa1SqF96|1$*K-`dmueH$`{ zI#ulu30Epqp*^=WXAE_^>*ft>*bC{a-E?FOb&~5qon(eO$qaQ;<~G-sxAZ1Qf~v9d zP^Y-rZranXDa3IM&seC_(a+Y}hVDPfn00*2hB}Q~J_}MtH>UkI@V-QyO2n^)_XAvL z{6NP)I(?z}>a;SKPAQ(@@aC5#{q(@3lgt#+{ljb{VB8T~+QpS$V5@?4^NxUd+wAG! zGuK&n=>(hCE&_J3ce{OR<j<Hs4`vjsmt`dAF0zwd7apgw4^y^IG%V|8NB`Av<}R3A z9_l1BorpW^838YR?5UQ*CoNE?_46a3?iV|H@z%eLp-xd>!@=vJ4UL+~PdccR++MvX zPiCmop6Ul6x)Iaqs!1p7GcmB%!=A=9;FAKVQ|QM;Nb+^26#`o@hB{6B8VJ@?tI|bA zo=s3ExenAxW~h_QP^Vf~T4{v~?IbNpbygngG_G6=?eJ>$yv%1Nok(W~?eh4qq>~x{ z`Jhg%B3Ht)qwJZX_f0x^_-}`!D_m%wizb~cyX33Ws$4qB=Ko)IVm|?)lYCrIr~kF= z)T~#&I<3y7lWW9YI2c)x*86OlcaoVRvWZm<J?L9lQRi@edr=k4+D{L!9$C{K$yZqy z=mc}4dZ^XenmYgTWlWz3GYYn&{61(>$(k;$U^>|a*#tpxFDtsGlj&q9mxtL&W|*C< z_vm5Qb8A}ZE?)+S*~xjC9!ie3reWRrjSb9Bd(HIFbcQAUah@lC%uaH9Q74(9PAz(| zr@pW!yv*NMpKWVkWh%<Iuk4=PL>t;V$29NMxP2sS_i&)yi<{=1rmXdbc^B9i>yByO zNv;F4lguzX$qcho)rW4HZK++P!3zEzv(t(~jkQ{*;z-hHK0d>f-HWDHTFVokNnbs` zqQvZ!^UrK(x8IeHJI(tNPj;Rz>!4Ij6?(j#!=IC#`+$6PT9Zqs-lzRwPo@P8>cNMS zn4M&%i0=Q^)gR6USyDqqei5n)_Tz*<L<CyXbn(s;onW_S`9ok=YkH*6zCSw2%qZfv zlK|LmWlfVS^Eg#>P0=oT@b$N1k8|bBT`+lD)JbMK5f=vjU~|Zt7P!st&!J8q0{!8^ zdn@|7*)PUWr!F=9;jfdGX`jY?xQaT-?bVC&WQID;a@z-P)>bs_zUgE)I3p1Du4EVM zcBYfvvpZp6zu%rZ)iIsys`c0n6`UNYS9NDrFP`k=I#4H>p-wVGow^KdqFEI3B+Krb zPIkui4Yd^k@#OmjK2wf5`5vmQy;i;ukBa={jyiq2JPq0wcco@Md0(PVH`cC(yZ4=G zvv{XJI_ZYxtJB(CI?e3u2lIEFA<jFw(WsNm6w&=#r}=@|qja*+zz>Bg*yNRduyErA zQnU=eAEXnka%n%9*C2x|)bno9=fRAE6$<bJl9^6cC-OK|bm6`t0WkLFd9vs+XYPW@ z<)Kb8(}}q6GyP!Sv<u{++X?m^b%G6ku-f4QadI@>Wbqp32Ms=)Cx=J!s~XfvZZEH! z-Hw)y3+mMAi5`v?y-c3`;@xEsaqG4PLZb5(viKIyI@bj2cPR|E_qa=%82K<6$4=E2 z`M{4^x5>797L1`zavi9X%upwpp-#06R?uobvL`Vid`yJd>C^Rc+WS&{NWT$W6V$0y z8%5jKT~9`Q=IuqDPTKqp)64%$&eb<#40U=RyAf_B<q)M)g+Ds&ADypG>vHMzbzmw4 zOthq*$MD@mon)qn?sq?#3hOLvXp56YS)3|ZSha(2I@*SQoF~?q3+9!S3L(|3X}e9E z*rC<u!Hj~vS$7ahys)A-0(qP&x*^;1FdQ6eMN8b}%v~_KJk&{MIuX~%<{-3~YeUy; zPGR3sC#~#3NQ<$dF>OrqPPg}`La+7K)Z$;B=us!Ry?Rle%upxuh@&w6kS!g<Zbtmp z>B!bJc*L$A$650Gc&L-@>XY!RxikGGvKZ=QO%lMWZWVgbf@ek4Nv;ERk{RkGGt}wj z5TaeGwU&%K&C>wtbaPi5?ZW$Dk~WMhi#qkWTveNP{WUo-*EH`mFLXOpoY;sqs>%Bj zb@Knn=KM0NQ|p?hd8gA8^3`d5E}h=~6Axc%T2e>$V4dGO$xIR5f4*q~n7^>5Q&(`K zRl(k|TdY)XL+|~2nstFru%GOKJR9m+Q)<m`<LdKZM#1X+On`__R@ANmk3*f3OC&?o zBrCdb3TLR3TpsEqGt{Zj_5}71U8Z(L(=A}D)d}!@mkk|~_MDZ6C%b3X>~EGstf^x% zzp6o<<o2RYGDDrtviozdR@l-lZhVf;z{*sVOV9bw!j7KaXVU3JRvK(7<xF$B^2r0# z$;>YrcE50@YduUl$#tMkGDDqYhC01&+E#mS*g#tUZJNfsF|w7`sM~(h+=-8qP^SYu zoVCWb@5n8c|9mhzb#Jo?s{Cw7CzUc~r+{VNkinJ#ocmzX>B+Qwb=r_ir;7{XVBTEz zK<0y{X-t_ZqWdenWseIxVnrwP<V{osvltZ*{ma|XE|<jO7QyEIjDvq_Thmqr_-$N$ z9?U3M-wW~3<pUenROWH2=$cK}6QS)yEBc@hXYPW@<)Kb8(}}pL>~?QLA@)3__x%1L zW~aLC;^9uRHH}&NkulWi+{HNd&>t&WjXm)Aw@z|<^`bnPp-#JcB*RDcpvJeSOw*V> z%-AY}indg(&4=fhodzsA3Wb~<>F%R$jG<1UK9Nu(z=`(l%uke<o#Z-DCz+v6GDDs2 z9c--~*uI|lHg#s@VRq_o*-|@DK8&<|%9TZ(PIYtA;@7?*6U&=!0hdkM2>ZV`petUQ zrZJ~RdO`O0s&rzCX&STa+<bM~m`kTgvy<W7+lq8idDE4h%oNf6!(S!Cy^&V*b}Ubt zs$hplrGVQ#Yx*LPuYcAF_OM_I#5-Bj%@@5H)91mAf(^Kw0>MwL=+h@W4t1J)>mbAp zwxS!V@|B#ZlUyF^Bs0{hz|a)9d5f)#IB}9~i#plT6xcn(n!fM+g)!7=d`2?-@Ux`D zuk&B97vt=e(b6$Mon(eOovMBqiaIbo-Aq?@B<l$LwZw*|2AZzyn%ZkHZ=M5P*4=bv zS9nA$n00fadv2Sq?BqI7Cz+v6GDDr}H)^YqxvNRv-KG@<HIKE@hBgQytyKP)GSq4P zs4Civ?JvpW@%-n5*~!be4gP-LfR1A?x&M8#^E~AbyR@qG99z8edqsik;(T@5luM_L z-;$tS);aQNAU7JvPBK$O_rEKf42_3hARfc`f>l+pns&*s!z`0H7Cg(kMJJf^-Xz#{ zH=WSwCY@wv6me(jC&QHK=_GEANvE>jDX_iIc~T8HL!IPpQ74(9PJ@aiLzRRJWQ6@u zwk_)PyhbuStHk!tl`mpNosx<t!-Sv=a=Z}lKGaEWFX|*S)G6TFAsAIQn`HOn;}rud zQ&DDn9)Y$N*GPRa6MapvedRQ0`@~4LD!l74I~CoK2#-$QC7ZnX%?`{?avi9X%upwp zp-$y*+G<62d{<Wt;hJD}Qp?zCA&nZ6o#|W?)Tw4p2`%83CyD9I%SWC5UhM@hAN(RN z<xRJMW8MTomwAuL4xciAbQ-M7SEtRnbb9+M7V2L=PmDkK6$0ucGevZNXoWavS2>fo zz2g_%s$e=>cH)?nNtQG)4aH;GgP;$+PbY8vce6OXh?AL7uoJc8Aa+eUNlxT(s_2I5 zyW=5j=6Uk>E6&^nlea~kWTq2w2D3Q0pk$Ie-4C(vsMEKaaWFq5lic`=U9tS9lU3<B z_%Zte*%ZWwp{SGGUcD$!W~kHTU+fK8&90D25BObtgNR#tIt8kBzD`n}nH~h4HuWeB zA@@n>EN2#nI)$E!fofBYq(dQo)rC6Ab)Zf%L!D%XI%%VAw4nuxk~819o~YBLN!D7o zPtA$Pe7+s(H2y*{ZOkPvQcv8vN1Z+n_JGzOe-V0tr-uIQ!=6Er9RQ~uKPGj$m;R&E z!nOJ8v?Z5LrF+Li<Mx?EKa`(aQ74%xqWeb<jfZ9PFOe>TKe5B83O0ODJcO*dNNk7m zjGz;&>FGF7zoru<Wiw;?JeX0i09M|djp^iNI*(J?M^Sp6W-C6~pNVYDO+#_HJk&{M zsMCP9@o@7}Cb>BymX(D%Jz%fji5Y!~Y!1E77-lCow$D+vm&hg~Ka{AG++Ng4W~fuZ z(G;l7-Vl-8k57T3PCug#!iJBx2p!FTj@LvxYMoAl@s^LsXSOQ!w@!uGartGQLzaoL zC+Z~EfjY?yb&?tCbm6Y8_HeX0nL+sw8+CdeW1|h2(2DFlV8$5g)Z=1t?ZE^e66Rcx zG1STRz6V(SQ0VYGU)lbmPDx>VAr+pHT^md<Z}r-ouTEQY>125~1=d3*SrEo8N1bG* zi0=RJI0aV!bBR2<`+@C(Dp-Y_6ga5ANL;fIGo};la-S5?J!U%9FijN5%qZgidXNHb z=B1PUZA}veGy5Kd-~s2!fhDGi0(o21NoJ_iy0a<p@LndF{D`kxN1e8RP64v#63MB? zyBT$={V)YeFTO<nu5QvvZZGO2Gt}wsu%qDA=?2-%UWxQur{}%Wp!4Y4<la@T80xfo z!ATe}>k+ZoW75fLS_+ifm_trq;KN_kNv;ERk{RkGGt?=wfP)s*qyX{S#7}If)4PXu z+Md)V#PTW6yr|Q=fu*!6)x5~!fxNw_)6lNoP-a2_`mW*^c3l3`$sq(*?s!ff95p>x z+^{oWownuD$=W9d=1s7smc{uH5p|N8BD(+Rj~GZ^YD-rTzFVqby56y{$laC(G(Pf2 zr#2U3z_W!lEvfQu){8iq83k()5(`HPS=0Fgd7R2V?4YE?L%&5<G-(@W?t;nNqE0g7 zu`ILESZMLXhW=<D#lE9XD;Y~*x2?-t++_@P`jis`L#%D7ulV1Ym)KTruRafkI-QuF z1Sg)_)7dro@Yf*X3@cJ#+-OI7aTo7q)ahjLW3VE;Ds7<hZpM?H*N{j!<x!Q6YQxV0 zsFPeT>LfGNNoJ_ivZ-ygCP%lD>Vr+wm^KYsX*Sl;<mDTlu~4UxbDgx~b3c(c?D6xz zb!u609h4~Fn9jbUFors{kMRUM%Nq34#d3d6c1Ev!b=sawr<SQv&}TEdPv-8#ibkDe zrl`ET0vy?c3)!7`#{+!$rV2Key_2Pptu1w|$N$};6YPN!4JBGz)A06ufv!FeW)!SJ zRy0&Jv!)3{d7LV`X4``pxWC+r7WClET`;*k)JbMK5qEoPG#oo;L!VO9;@<ufqhWn7 zTRL1Zt;XC}BpO!Ew4raF@+^Tm$?esP@??fO{W~BY-m)v7!;|?Ook7Ie4`k2tT;f1I zGpaL&IxPt~1f|$tHqFM=V+?ib=eQq6KdeHpuH~5xb&~5qon(eO$qaSU-)pVaO4vr` z9ORc!n4K0Sx6r1)izbamnP$aHes<92#C;+SmltPon4LQNu7;v>8_|lxO+)cbr9I$9 zHy1ipHLb=}_U5b8j$AqoRiogU`DIcfgiq_CPBK%l``bl9y~$Z5I_?!ajH+OnZc(sd z*(EY)3xBwcPA~`mNa$E8gN(Vy7wGEqU`D}$T%(|SWI9>?na8Q@qbN1^MZ;VF^JHIr zlTLDZsFTc4Cs*4jc(VN>Ip?>Zm4(^KsaF)FU%5;+i^oD>c6v>sU`E$05?6yST0x!U z_M%QQL!B;}v2o^|TO?;49~hucJt`-{`wB)<YAeq=sM7<lLojX8Q)0z#asSq-Z}%wh z`SyUM6Rr*FB-epD$qaRp8S1ohgN@d|qXh|G$~8fqwwYOL=}Dc)rWafj%udmZ&9$mO z0?6ky-d@zHZrd&Fa-;x_Tf+a3huJBpnKyi1_kuLaHoa}LMo7Lo?aZZ9bLSXnnwCYp zd-8KI>LfEobboKh7|7X^P3B+Y|0Y!hdr>L|?ASf58y>NY=>%Ii?Es7}mq9!a{>_*^ z4`viBs6Y$^2B(uvk9ZvFbZSm4+}L@Z46ef!ac3Vzk;_A!WX59^CFtz|c>Mk%$q5Kz z-%+PtHDjP=To&p4o!=Hlo!YT>R0+r?rH6iI40V#*s~6?T40ZBxOoBThcZh#SzUIpy z;$E@2txm>!q-TGg5m2YPKaaw&-p@%VHpBc|r`>B}*dppjWYE_ljG<0)9jKGcP$!w8 zPNOaCw7Emelc6?zJJhMsN*k>~k&dL(ay}qIos=)dv?YcBvM8Ik7j<$txDASwD@bS0 ze90K<H2k_RjC6cOV0@uJC%ev(`Re46ODEf*`=H@*YnsT`cmLK&W{S$YtK5-&?2k;g zG{l{sZ&krEO9sNO?QF7eKEF8E3D#*7TX@pnnijQL#+W`2W)y7Cs6e>DraQ~E=W#0g zu&0*H4u*|^R@5SzGk3w{@=zz4=|o)FpZmbW#g-1-5W&8qPS=0!gIiy0seixQjG<0R zf%{<R1Y3G<AMXa#Np7!RlqWOPX=JA`m_E*dE?1n{wgwTmdu%uye&R^4_T}R#)ahsW zSV$RIjkbv6H(s8IxXYdV;YCzcy8onUqCl<#b&?tCBs0|M(WVyKyK3IVejdLBK%Lrr zb<--|NhZ#9Ok=0ot!y->)j!Ct-exQgbyBy@f-_qh(QyNLU!qQ9$E*YM>n^mhlWFWU zGcI49cIDD3G&>MJp0lD4PdKuoF+0gj5#4{cRS@`9wxw0Y)R!t)+g(Ahv$ZYF_>#sB znNG0U)<JNor!{R}*>tj#nNh^0z6^qQHf+Yaw&`Sdnk|%F>}y58xO0X&$=jk%GDDsE zuL}Z)r#953Of1_Lb$YZa2s$jXrR~q~=MkVzb)191BGiVK=xG`|$?Zj*WQID;U%ej= z53{F7{dkw6PVt)}!11~RZSk6qr~cFFLo76Lt4iCmH?jZLDPu$cWPPea*Q~H$46~D5 z2kIm<)JbNj)3U!?Xi?91lTS9LvD5j=O|_8JL=t<2XHU#dTSINMCVRe<o<EB*hB~br zIS)EnHln1EY3x+A$_A+I=t472npPBSPsvv&&s;j47!e5d)?X&0i<!nwGE+qN&tlmm zI6aFbF5(GN6)e0@Aha`FB8A2KcXfh|P2LBY%`?cmgjFm~p9eDvR-<bm6v$2|$4>J& zm3<Ut^x+_|yLz7N`Tw5WE0>2l$qaQ0bqj>ha~FyEq%c+%>J&FQ5NNF|GAA~ZG1O_{ z$UxYZltmuD;Y;egM7?r*Q74(9PTk!0!|@Hb$%BJD!=O%gyGKC61tW<+z{gXl)3_&W zDtFQ|GOz&eYRpdOHw3~GyN6^^E1o4#C%F#PNoJ^%%uuHhE|%KB6lYTXF4qLJlW}4t ztr;CaijFmno$A&qtUb6NMCuy&dU@2TTEA7$s&WBpe)cV6n4Ro;Y=fDuFUYQ;rm<7( z(R_8<olB>d_w^7tpS=ZOI^XsGuIwbHi0%)%qX*)0g&eKK505HX%d>juHvTgCkZpQK z!3q~W__WU;Yx*x`ae5IaGoxVUNAzGYrjvwaJPviLU7vOT!}Db1BhK8}M^WT$Q74({ zMBJEYJ$Q7!MB3!=rFW=P$RqYlftuOma*K0}p-u(w>R~IJ+4lD0w}nwB`55R$c``$t z8hvFi4e`HA!tMA^&miKCR||*dukMq6<#|RxoyHc81&DY-dX3{JBGl>PoP7|p;Stg6 zxJsy#TnFkTGt^0DsM9}<EVYNVT}a<%Tu;=gU)M^S?Uo^A=|O%H!|Ze}t&n#4LI_D4 z%cq}Fr`1zdfMIh1I(X&_#!#mvo42s%!M`LwlM4PBJ6$`TuTFb%>7=~z1nZ7gv_l7H zwhO3}%oNf6Lx%2#ePBZ;{C{sM*OGR_OD9{ph8$<Rr4w<D)!nf6FSg!k_BzJ&c`&13 zQ!DI&aQ4>kE^Bz4%07y6w2C*hIc7zRCv)a5m|Py}Br~0e`w+ex7T>U;Ye$%#pfV(A zHxwYY)S|HIp53)JyCIF*P><WZt57Goy?Rle%uuK4%YEVf13S7V+cZ&dWr;uRo9IC8 z%DAxdP^Sgwf}qx|D)gFzX`&#d%MQ3SsS5pTooS*#t^;+F8R{f6)M>Xz6RlYHy<|Wz zzj{QSE`4vHwOe<D#OQdYM4e_{sHlydtx$amKe?k$ZCVe9^EDb$%MV;@)T!Lvg)pI6 zbvmB?t@QUT;4f$L)yXTDPTtRa!0Wgr9UQ=ilBko+6w&>`gM6X#SQ~oFyeNxP1)G%Y z3m4wl(CXz)f7=Xc?+dfodZO)gBkLBuh?AL7uo;!vqg!iQQ!<dpp-!RI10eQ*6^&fa z8R{f&i#o{+b=nx|3xNsjzFGZbwk>9-E`h#q@T(0Sn8`B)W~aF=ec{~=YkH<NAFiTK za(huHnW0Ym2I-+lA3I7qaCHo<Ohq}@IS`^V?5W4v8jPV%LuT#=zxq{Z+5x`u0JBr& zlDi?UQWY9%%dhq@JIQsRPBKHCWQICDEZJ1^tM5yS7cwoM+rO`o_9`TmL|)~S7N}FB zoXT2(*FT7TNq*&yI`!E#9s(U3(r<3OFHxuXjVr+AS2cQut)c&|lVfJSI(g^PDRs6F z%vo@eWZ&oG0n|xmis=5Pi+#YCo!F{Q;D3Qs1<Rh}1IMagBEx5yuI!9PZz$a>gLJ*S zfyL=XoXm`Z-DlfYf1OTBzUOhO=o*sa3mbl%C*7)<bdtA4on(eO-5%-#QSKMX{q@nT zEYzve1|O(h`!ZR>-U#|zCvAZbbaS{&8cgIT1k_1xFX|*S)M-I6Jq((AlS~|A!L~)6 zz7-3E^h0+@iH<z$pibIf`(gd?CnR$Wzb*WqPR)Fv$%q`{dzFuMP$#(#)JbNjlgv=3 zlZh5u!?v|ai&H!Xv(u4x<+ancBS?X9Tocsk(s)ISX%R{uz2xmhoosI{fISWhUDV(U zJ1(fxxx{ra>D5!RZM5koi+UwroqTfX<halimMpzQPHf=ke$+{3is=5AOFh{-rYzE$ zz1;J+PW9$^!mst0$T58iV>%Hx<JK-{{Z|J0S=w~6lbKP(-I?JDbBkt>O3tQ}-C*Nx z2)9iqk$p`kJ9%5wNoJ^1=OLcpe&8aRloG-A1$C;v(G$`RUM3x%UuF!mlgkoMc*<U+ z_Pxwc#!x4@y{MDSP^S*AzR=9?7Kwgmn#L^B+8<J1-6eZ6Ow*XgV?nS#=_z?}*)$YS zndb>h3q2r1DAxvclIuX7WQID)40T%AvVvBAVI#730zZkNPEWg+(-zzvOUz31xh>SG zO6b3^$Tgf~HT=cei#iosGYyWrC^R*aj~`K|K<}0C()}5!U%~X^d-q%U>g1bCr+FoI z!GsHyXxfJwY!^@`nJJ?ChpyTM?@L(ILOc2HtAgEpy$kvcu%R=>1CMort=+N<Hjc8U zD^fk#uIlq(M!~X2da^g4vp-dx<8dncu+!V*Jy4ge_+0v(Gk3w{@=zz4p-%s>HzrhQ zXG3Ru@*6&=Q%cq@wrItMb}P+qTcb|n$L@mhgRJP~L%jP@C%L_-lgv=32H(A4OBWk@ zW)kl{gV;ZJ@PW#jEuG-aCk3tv<~5F8j#PG{JvZ<!#q6|y+*UZa&WSqr<|ilANv;ER zk{RkGGt}wI)JEE5Pk+*4HorNBI@wio)zVHJB2~w6jZvr2VHTR3-%oNeoc{z+r|oe= zp<bdZrQdm9qE4k&%!dxOs?svUOsg^1-_KVkzg#*k@$rU=r7Ke}V$w-wis=3qWqn{V z8#-Ug=9BuWU|W{>z&)1GS3l-YUegI?U)cu^3}iah<j)z<=fRAEc|P%h!0OhtSZf}q zif&l;!4GJ(6)iJ^Gk3w{@=zz4=|tQ|cJlP=YC{W_<lT%qjbx9)_p`B~fm`^^1k`EJ zJ8!UFYeml}CY|K=>P2}nL!G912SCY{HgsQhZTefM&SUlP?XxX4D{Io}l|?92Z0|&; zI+=7jSbP_>KkY=PUF0V~)Jd)bb&?tCBs0|M+SVr8z+c|vFZO2B-#R%DYp6|{mO>); z@;^bLPTlTR(v}bTmxSErgBjH6#)@&^V&8z4s%+9}WvUM9?W{`Ox7qv|JMDjxuTK8C zbn<rghM6TZh}BwtQTyLeTw;po{^gCl;V-j`#Ja!_cDPl+KC}BgkJv-<j(0r4m`<=k z30|<dO9r8*JQ&mG!Hj|x?cfa)o~4sp*Lj@EK8jK)&IjVZohQj9OghQsp-wVGojS3r z!r-l$<i$9C;zgZmb@ql2EOXwNYh(;{3a;l30rS{0z}ozTfZ0ht2B?$FP$$wY0483! zO48r)?lOpdo?lH5lS<trt1j@2fZ3_PIeW0sng?W6HeaQI*(ur03q}}>WWr{C34l7u zb)Zf%L!D%XIvsSYphexOLA;i8O)xt(jVh;UkwZz*x?B^~>B^a(;2IK4W~cG?qE10) z=0mF%KS}l%g)z)d-uKtSLW{?wcGXgUbUOViU!4MS>Ez+TmQrm?CvBVaD-P62W{T+k z7a<-nI60FnT*Sv5s$d<WJs|ycCW%Zx$(T;Cw3;5!X;=nnJHT|ZlbI2>Wlt2@^DCX$ zO*EbCzE<~yO_u4z!OL{Alea~kWQICfd3k{6-<f3aYu@#!(<)ZSsOA^R-yiQWhB_ta zJ)pT|CTaW7q?6oU)JbNjQ;}#dm^SVz`M|Q<Z=JTR^ntK_H%QK4e!-49{T!@^jddQ7 zzgqLmfjWim*a_X+8i{oYK4*nG$#tMkGDDqYhB~EMl+$h&cO}!B@RJzo)M$PgZT`^F zWcfRjPFs(Ch3Ah$iT|deEDm)V^mPjK82^Kq-{$xBP$&P%D<HD{BXa$<NvAg-^3`c? zE}i6mn4(THQ$+Xw-@kwr<$vv8z-7PZtCK#LPV)cXQ74(9PXG6e0!8^>dqzRC0%`d@ zrhZ>8o#ZF#qfRnIo&N8w2ka#u|6^}G7;KiWPJy{}lK=mXI>`)m`oCusD9ZoZGYS@# z%2%hLTsrkJkA&-UEoi}d{DuJPBs0`0d~+mN4!5LxKJhCFRg9-%&7)xJY-<`Z?arT} z_?47MP}qD@tK>k&^de4XM#1W?i-INJt*G^R9;dPoTLQP`0F0SyMZXr}OW@oElefj8 zxXf@U{<KIG7`9ncf3FO-9S+6y4<q4ViWQAs%CBH>D86NKB-C73nHH_cht6K24!ONJ z6qgwe#cz&?fz1JyG`d71wyi;IyY_i3bYboIIFesU;ZQvJN)kNzW=AU=Zpj!9#b1pK zh8OIyv|aY{n^`y%m+QcxxXf@UE;Ag8-)qrA>+iFX=uWz@@^C1A%+OR@bz?s<?BZ9H zcx9LI&Q9C<_6>QSZhC@>Z__oP+v-Y7XYjtnq4=@OJK?=k75Z_E^Pej_eT95=3eKg| zna$x~F|{Ji+R1kbb&{DPy8m{G2*@$FqPF4@rK(`<S46<plh)MtIX{d#!9LW8fYEN& zbZZ@d#`JkGqhMveM!=u~*0d?*ajNK=83owGoR?V9or^eg7fdb>b&{D*#Dy)5fJPbC zG^_j>_8oQd9326@np)FCt4t3ww0s^8A<Zr6-HH547Il)_s~6?T40Sr;cmP`Ox1zIW zxUy{xB5vvlw!Xc%4fWI-Fors%d`N_eHV(9;LvzMZr;nY3px`k_Ix~k~?V(O`9jKGc zP$!w8PMtfo&~|5SCQ<g)Sb3<EYhY9D^{)ux_KZ)JqE1uS+iCOfyd#Yr`9u(2+5PCX z3JMf%K;4}9RVM1>P+<pT+^9lF9Wy=O$zYYQP9eE;dTbF6vreBS1FrI4E9xXOMRfm+ zdg0JCHiKlpF393k!49+uXAjl6K(2OWe}wu^r+O#%!$<QB(*2AdV|o!MGoxU-0pW0Q zZ#pr%%i~nhHRi`6pzNOW#I2G^CwW`cNoJ_i*V^H5$@2m^Je7Ad>NL7@I1CHDKweLN z${1#+aW3JIbSs^7_2Bo;P$#*)da*AuL!G=YMZ;O=EaJDB|KW+(qbS~N(Qb=IS4p{* zd^IcTWcMTysx&qdr^~$SQK$EF!{Aor9WpV1PoJVravi9X%upwpp-#14SJvunC{6C( z<M#?trw;EcX%{mI*}i~lf;yEfSyZd}|Jpn6u&9pkQ6IsAy~G+D*4P8~&a5#SEV0L~ zprT^1A@;U5R1^_JK<c9Oj(`Y=o)2u;yC{}bY*>ld>z!}D$Y!|Q%kQ82-}QMWdCto> zGiT1cJ2QLQw&AaCGcr7SaIat+<d^xT`C^18OGu}#eLNv8_@SoND8t>DPa2n~Q%Dh= z=JWSrf4Xr}v)LXG5$Pl|MRb3!*a!&x>#Sx>AnpPatp4!`etR14t}}*LUQ`>+M~QD| zHO8Y1lby`;B5y!$1k`swt0|amnCyBFih?)%S0RIS$gD(n$$3d9nQ28_@1zKLS@*nV z`)fQ0MmpJ@i2$?Ea~e-QJ}yBz-3*C<!{g6rmRMj{kxp`ZNhg_+PO(*EVRqF^nw(ZR z!jMi0QE^~W^QvZXBfQu_IyE?z1WgNWYueApiHLN1#@|UEYjImMU;>U3q?23+=_E7K zNoJ%|#{D`O5j87llDFU_Mmk-oUMJ(zraqcRO$|4w%wJMAL(^xECM_1rqR~m4;|%#f zf7RTGEyo$@boHwjl<xdMbM(F8ZcLMwCF&GfM5p@UNs!hfoc*D}W|K}bQ$+W#GfDyn ztv4I7^%Rd|g1z}O5!zng#Maje!@PnW<uAeU``LyC>G7@rT`^2A*p09R*zIf0dVjz; z#uNY92BSonoHLHC?PPdtQ!bBmk{RjLv{52B=V;lZVW<P?bR!}Wj<wv$2AQXDMmn`? zmjrLp{Mn`q{0NXva(gj9|Cwv)xR6c*=A=Q56<1k<=}&o#D&mrtro*)ST=v}Z8Q&(I zS`=i$*H+~;OY6PmjC2~-GaY(a-eZ~1aHJ%i<T^+vnUPL1Bb~Y$9S8m49JOUE-pfTg zUDswo!C!7_wV=D4(daa+=1GW(&FRy$AwCIBIyvTsK*ZfPnzn1Naz;9>{yPSeS{Q4} zzqwoZ6F;rmm8er#5uH3Y#>3UeiR{G&JVd0E%oK))*ZF=N{QXNP%Ugj@g)qTxcZ!4T zg}Yc*Kse?V%-Sv%`X19V$12-7(-p(?f^Bx=PsW(8VXiGOj`5@@FY;p{+HEmgJQbOh zU~+k+lgzXtF3&g){DXF|4`8?(Q|BB9UxxcJr&o9b4e3;^Vm!2O8p+I0U*U{&lH02j z<;je6D(KFiT<&m>?cVmB$EYH1YQGeC5dMlq&BmLaNvEv+M_^Zt%9@#V@#zuLDe~4q z*frz@%ivGi{?JLTgLIM^=_E7K>3o}Guw%^$)#o&pPdd$>cM|@dwMwm#j8_3jCtcn# zSmtGJakps>XQb1}?fljHE6g<4HeKh8bZXov0_=iJG~=4wFVtyx#}ai4FQU`(&T){{ zE0o!v!uyy=Cz&at`>*=M!nO!McB>}dJH!N2KE{B9kqhgvI05qtcC&8`bdJ@sRd4Y^ ziLMx?7c6>u4FC4CnoX_bf#va}D4B<2;MK~-?Dp@-tOS$GBb{WX6>+1_#K7`N+t_#i zNWM*@Q__%FXl&)dZbjiWMbhat#KMx5I@WCjej6p7<o4=Bc`_rNj;u%m?SV^dVib-# zs))NaIT^;h(KDZw@Ax+9G<j?~tejCsbMh<R6hb-;$vFU>Zro>MKfmFOMkl!r(n)5d zlgvn`106EJ&*F?ax;I|lCY>hVI|j#UZBXkCL}f{*%MUXl`@+}01;-w6Mmp6t-V4?X z+G&gjpmwCwtHI&0E#FAv9P+GCrv=?h)G4BfP6c@hu&BHz>*R&aB%NfYkP^cZpwm5P z)?*kN%>=6%wI8P5Tg%qANy5B>=?dcE+1(jTsf=BvD~9O>E2y;}zS~-}>CG{Y@uVn+ z`70_ar;lTery{cwOfHXfl9^V-`LEp%@t>Emit`P(&prLVAM&0$GEGaoTa<JfyCeaY z?cB+p&&3G=>roWBy}Dx9LBS&Groj208SMOKR7Vx8ML{aupK^h9nS>)zwqVmQsBr%N zN9Mj%>GwmY2`;HnVcKOjav|m=o#c8+Cz+8>G9#V#m(PH2)$gla`{FP_I@M@!96nt2 zQjbr<(UWv)F!LCc&ux6z?A1fgNT)aLLZF+rh33`L`<#(Zw?{>TY2){7y#Mn;op$yu zQK!fvI(@QA0H5zwA-KjFUNq?>Glk(H&l$NNj<#+9mZoVujtRD|S3K0!wu1imLNTvk zP55iEwq=;XE+0?Mbj2{eU~XOG;Eta;R7k)$#*?C?U5SO38J)oW1u`qa<nl--nQ28_ z{<k>T{-_P~a>jF3G&%(wjt8IYrf_!|K4?xlrSq5m3^J+*Code~jC7LQs}tqPjC7iK z<RF|rny*fpdYZ?mB5rDAD)hI!r$$XiMml{56}lczP~DtyeMX~G;HV?es%O5cZG<tT zlUxVsBs0=UW~9^92D2dg`(`k=yTHpMo$RxhK((~RkQ9jDv`MEksV?yP=^&`r_Y`NO zQ}0S~aJ1Pf_3Sv@XVU58ltdU@B}*L;dAd-igZ)d?DXNH0gZITkQpH-3c>N?Vnskzx zBDz1uB?iLoG=ckF@X#{B#@k0jrQ8lM*eV$F3TCu33iQF<V9;vAWG6Gy$zxU&EM3(d z`nh8q<4I9|E)@mW-Fw3Jv&gIjlk<{JGSiAUpU%-Rf37(kXkl18wfztc!B1Mjh75et zhID#!B?jD`8o{FThdA>RdFA%%iecDhMXA*w2~Ldpr2hHx1m9K#J6Sy$UPeAuLvA8N zRroUgk92tCeMoJ86;G*>PQg#oVD!1qYSeXHvyo16y`+=ONGF+*PBoM%;5>9QIF3ej zNT*s0=Ysn;2Y8)`>X1%{jkm#+)k9#i9qu3Ll(akwe0FYA7aqkvC!I=X#zBQ<S5>Rj zlZ85E4=Pco=ps7JDTsrpE>*zH6+f+{lgvn`S=VBri)lm1_rb0qow`NGz}U!k@Yso; z*Z5Z_r}SvZ_U;B_JhpMBV|aLFMmpJhM8jMA?yxu-;}}o;2je?MLvxp&(EKqnE5YQv zq?63FBCexd3{1%S6=MIuk!_1$b$Y}?=LIdmybS72I@M?t2VJ|>gSnQt-Xopl_Uc4l znUPL|Zytcscb=(R&mQJ6s)!r%?jTHjm!qbfKt?)k*>?ou`$ns0U*Sm$(y7eTba*-8 zAGO{*91%z-xen4vW~7tMNT-1xrh{ceM>v;@PZ5z$?YG&(c4vEd)*Lt^ot(=#!^Dx6 zV40Q98R_)eC>l<#+MxC?jeSl!b=l2d2bY$mw(WAHP$y+Xi8{p;(Wxna?tb;-vXGW$ z&`D;b)4DQ=(E4UAm_EUvll7hbaCdtPusq|<cT3AqiT*F+AveJcdd_#^jC7J2>9i~> z9{RYN!y`wGV>~HJdAoS<Ozi~k0GX9wa$eF&W?B*F;I|)=lUqTZdAN)xot$kGV1Lg> zkhdX-Gtz0-kVJ5MULB^lFz6(=S0~Do8R_({S{k@-x~)d^#ABt3xcpz!;bQVx)n+g< z(g_}9LY=Vz>iuL~vyo07-vCOFx~~>^8FZ5CAf04JI?0T5vaUQIp3HHCX15JGeGFU; zZY%AfR37dd>GW;38&pah0F~_wI-SdigDN32)rwa55g?uREJ=b&_fypOia{sSu_fvh zTSTWbUeQqPZ8F<G4ZrEo=p-}Jso#?*Sd$yXf+ymxGKSsXr&Sd6`{u-K_v2Y?tzcz_ zN5Y(8GuZ+MEoZu7m|n2mizA`dr)li96UH%~_{oS%k&x>@fvw6!W+j+h9_b`Aj8&BP z1(9&`+(uUWF;0}E(^{t}{*Fpd)+X05**WlE+blggf@OxD<Z)giuiRc;F^qI_yO;n` zJ`dSnmU<qeinvt%PR?pu->~%!@LLk;WLr5M+*(%C*zJGH8R_)oWfHUwe8y(CxXT%h zPIA4ZlgvmbnUPNRi!xxx&xh2x!MAvMG&&{KIR-;E%vL7^UFD2)a>@a4-Z{l0r9R$( zO`}tvs{ZhGWP8m$zE1j~)9_otF!D}0O>o_7g`*RjT%t~KMRdCF5DDR*j<C$Sxx8r7 zNoESe?y@=^0j=M~upw9QOE(j2_)ifqeS{|~eG%6yTEQ$e;V`ntI`*XdM$UA_Fuh>g zXNSYyU)Hjw!!VBVq$nq{!lB`#CG3+UGAqI4@<=C{X+_*oeK?%;b!CrV?%~^{)2)RO zFt5cvw#5ubA{w1ezKwv+Hxk(Cj=1I^o#giFM0qkJomy^)hpB(QU@r<D@EBFZMMovT z=4M}*CIi1Ykxm;nq=N3sPnz%nuQ(%}KJc$RA8Nd1R?F}>lTLCSq?61@Cz+8>oz`SP zd{V4x%ur*}DYW4+aA`kGE!F8JXQb1V-oO_rdo4EmUFM8*`ZLc5E|2J_Y2EAsXEZuh zj@<`O%qnSiAG}$p)9mRb>J(o@rzC!{<M${NFm8#5jC7KjBD%lFk#NZFUJpjR4dHQ2 zu!!wpusf{{m>$}Nc?DbO777=wx<Qh<fiqn(OfT3HyHKz+?+&G}V;tj2Q5sbWg&{qA zLTD9(PI7sqlgvn`N|s?TU}y*MUF^ckBArGx42Q3qnnL>lIC_#!r%WOsDW@isjgRDv zbduXkI?0T5THQPz9;e?`?{-P%c}b@|T$8j_=hY!ikdaOrhg9%O4NxmL!pVem8aeME z>~POhlSXH9MmouLkWMlqon%HjRSK8_HQH*S^EmuUK{|!!{SCD(W<j<NuL6)xgC=Z& zJHIe^_1gi?NT(N5L%_~wt?Cho`%F4DZ5au}_GYLv&m<S>w8geWo%R>e>0;Gr(EapX zZF4(`7fm|JOcC9$c@_zQVbvh5T@a6Bf`ujXEA}6oLKj=?Dy?7}Qo<o(rWsT)#%|UX z!}Nl6@(73PJ<K7X9>y`AxCFh!A<nWBydQzgN-()R(n)3*%kM>66af_vw}c^O@Qga? z)X_2${u%!>oa=&XJJKn;a}+q5R)UZUcqX58lH02j<;je6(kx4Wx6{w6d8T-*R1x<N zBtfIb>8jEQ8R=yF{SZ8v=&a@p$F3%w+9#w!mCx5z-%FT}bdu{Jon%Hj$&7Tm`DzyI zHC_$#E~7f6Q_^_{c)Vab49i1xNT=>*+hNN3o)9(%M`+S%<I7OkpFK%EzCDpM(rM0P z{%W-aajI8~q(Ys-=9j2bLJ^(%+v{M2cPiU<6z5>lNoESe?rN_F!0|UBZ0{lb#4*7J zfAfba*4x?h+P;`quuskWAth@T(;r{WnXVY77woR3KU6+2gU!sxIL4Er91Zmc+wYTD z>bNz0+e$FGJkm*KS`oJ{%O94Ob7av&-T5}@w9YyJtb+Ei5x?W9P0}gjc>vVe5yifn z;1_4oNp7!BlqWON=@5i~Z@WC!zXh%{RS`GFI2>9p_`obqAtRkOwT^>-f@^51UV6+K z>10w624^NbXN~6JaVDMQI!Gs(kxnuronG3fK$)1`>MSF?ctScgSds>Qb4=A1J@8}% z>2$^F0AxE}w{SRtlRN3u;?_>cnA4WOGWHZ_q*HFV7udfotC@Z2N})~{7MG|~ViBE& zx&^|i_rMn2!#S9Al9?j9Kk%^*s%?y8fBE8I%>--HK?hSNd9g$v>;kP|E)xR4`NTT5 zvZ7(KlNsq$V|@Um_SCW&riRJxdu{*(#x7$8qmfzhq$qM;(n)4o5!dT;09@Pb#(qgd zMM$T)&isdD7X>l<kA~BjqxkRW9o>|~%6!IUDCs1(7u%vJG9#UI@u3j@<rRA~HkZe! zB97e;hut;4GZ+4Z?+=~IT#f@xQY}r(hA%iHogDnb!NvbAOP`C!nRJrtAf04JI?0T5 zdXbU_A(!3Mie>b?Jkn{XJ{>N7uB(1+f|q+qCu^UBFkw}`1^D49RnlqTS68@s-%PV% zAui8Jr_Gsr;QqRbnu(b=3U$g~S)xu!MRaOhioYl(x*R0D!~v3Yk{Ri=A}0XuF02a^ z)A1Y*>9moLCN;XYf%A@Tn3rKUBuDx|OucR}aMyaybj2{eU|%-*!TH<WU_cngF`g7< zY)e0Qc%lac+(Kq0m|Py|Br~mu+c4c9(yq6MTbdnwn{>+U9sp(THi0@-arC6oX$*fZ zZdRF^V6i-cGtx<JuTGRFGt%k($WU;tdRu+C$1vHo<CAuv^BHx|G{a<fl%EnD_R&Xm zdV^OGNT;)rG4R|ZPpv)(I3u0pI!Gs(kxnuroi^1T0Y5)n2)!C&9i-ETd6Qx9{_$|d z1^1V9^0i+JqbGHRR{e4RNT)}Oe8Dery_)|D`<!(0?HLFol%s09>jw&Ts=K~KoemVy zX>eWujGgyIEp37GDCs0KMRb3MOn>+gP!$e3@8xk!uoP!MI5e;+96XC%s1<C5voF*z zF@v8Ttl~^p4ATp?c8)JxJ!J+^*)Z8<RQH9g@f{(4F*4FgE{}AQ8R>N85B{!zCM_ZN zZ#-v3I(0Smhg&P_!COz%hIDFGIRKU$SA_e2hjK<b$?YYbWJWs8ogD&SFJ-CMzwGCE zRh|@OM_L$s?Ute*K8-9}uqO56pxNXts&)acYe=VI$<Z)Pb6p)(9~TRxlUxVsBs0=U zW~9^gmt$b^SzE9*!+j&2wr;nEv^iX}HK-2h<d~!drxopCMs3_b(rI3rH#jYyp)S<n zdWv*Xk^*3Tzy0c@y9tFlb>C8=PRT`da?9Hd>AtaS#&{g8Nhg^pqWgPV?1pY@0@(Nf zJT=Dz`*pKB*qLo*l{(|{Tr1e~<XvzgayDCEcQa?YVwhgA^S5@v?`LdSZd;6FJSj@w z?);qxUQ?LoBxF{C$>otwGSiB<hGX2J%ef6~@gf|FNT(?e-Qo3L?yTt`JiMgS72Dm= zu|W`PapN3kq?6oUohVOcq|@emKJZiRJM2j}JSm`xxMTb$9cN8?!8*qpP86)U5(F-0 zl{N9dyyP*YQ|3KCm{dNOwd8M6`Jt0s2k9g;(n)5dllOo)$auF}U7vQJmq$8HVEdtl z#fu}YyW#qbbka?Zf-n0^Grz}IIU}9I%WQ_%{ab3>`s2w1(uuk3fK>&GX1e}Xp-$s= zl&I6eB06b8_rT-C6gJ-dF)x~Ql9?j9f0of6c>6el9o?G6<CtK74fld!?{>5DNqF)= zD_F%%p0KsSdUn3+R?c+AFuh=>BRyfnJ}rwKgmH`~MY&ti3o7O=XZuzmvl2`$k93lm zR>avi_JX%LJK49J{(PHsy2O7}>-!QNTd$xFq?2FUJ&@immaVyYku%asZm&+1Co|IN z?8X2n9r~Dk3PVLy5jQa)5Xv5T$NF~6<J;MSP5Uzp?s-?&)YIe30!gRCLjqx~-%Ivw z-y_awbdu{Jon%Hj$&7S5d?gVcXRcGtFQdk!Q@J+>pklLvBl*qnR4M5cT{9lMzf@pT zQgGi$r(eCCU{LAyn%CK=80pldts7kbT2}MtMZ@iLTK5ulN-3h#Pqp_zoAVXHC-4w2 znskzxBD&w=ohQ7vs1K(j@O%vuEH=vnn%TC6Ryyn!tzhQY_?uB)b%lV#*rmE+m|n0% z{+9ji;oZRf62>u}6s60byWyvmJz!L6gHCdJq?61@r<BbekQChk4p<w$*$o`)2|aE% zgEqBsg8o;hzFzRgybh#|i{lLUTT$fpl1?%^DB_y741mEl57ie>Q~5UOG+<O947hhi z9ps7(yG&6UTZBRL4ngYLWQ-x5YEKA(Y8CR;F<KnmNhi4u(n)5dlgvn`#zTGs&174c z@eJ!Aoo09pgWB06Aj=geRMM$~%>sZZb2vE_*I1;}xhlKi{A?%HdTcspq|>0idtjx> zS+&W-LxrQ0&bvgNQj6&1X|)@^B^kq=%UB)hBr}EKA?nf39sZd36D(YSOIRkDcWwU5 zL;7Zr^V9?L3ifvsH}E+BD>M#u<V;r#(+f72f4lf|lNq?DVjSa%KV`eu6~+$k2(_Le zvl2`$k93lmR>aM_;s(}ze}NcR{91sD@|RZ!?E;^s4Is-`$G1tR9!~Dy(7P&B=pD-$ z=_I!oV--baq*K=|KH!;mMO|IhpwpLhKe#yfsG1mu>m<^t?(rb_G;o*N>^NS>Bb`h_ z_QC@<y*jzVG0sRQxen4vW~7tMNT**seuJtGQ(#jb)<HUbF&)O=<}v`9tU^slC!ZN} zA&MUtm#(<aq|>VhJK=e?<?4zSIE0W+6TElBx&epP@h{Q}bvmglQKz&bI?ZU~4jb+K z*yy-?UNq?>Glk*d-M)Pnl)dZ52H4<y%LM!5fg6+_w1HKqAn!7^I90b4km-S3a1 zgsvE-7wo>J8{FJu!>WwKIL4ErJk_~DhZR#;uPw-|1e41non)pJak~z<LF;>KSb$qN z-zJ@Gd+vf(^|!G`{FelO==45e7aY&u&0II;a7H@G?IoRLMmjxo*#md4onnELa1v8_ z;vKop2i~2!!PWyZ(kUrE5R{Kbnps~zaz;8G>*@o&n_gw9_wm9D=_J=dI?0T5k{Rh# z^Uo--`g4=&IS9)mo!oL_V2q!!`rsATNjllahC`*;#}@G^xW*!#stt35%@0jA6Z_~n zBc1jvb%wOm*DS>;uTZBaAtmZ`sEAHY#(KdOlPGrgra>o}DGU!=bebnr`#X>wY-Z4D zSuIa~M}RAv?-a*(i*#B))&o|SUC&N5+{Kwr<dvCTuve=*VAxJATWgMSj3-4&yx{@; z&n#zErX#ZwOwLO>$xJKaavpoYnO)AT+`%xuO*%c|uODmRxQAU!$1mqQMckVEo}f4e zF-I$dPI7y7B2H$clPCX0O7`mw23ZE3uBQgT!tzg8``=&le5BKx*THc7d3nvMW1l!9 zohA<sfO>5nF!#!MoJl9S4$?_xq?61@r=aY3c(>6}efFC{r_VDJA$W|j`Z2+v)9q@p z&^+*qg~KF+P6bt*VA`ivnkIX2jYT>ck9UOv%Tk(+e;IT#i7rv6^ddSH9P{Mw|EU4Z zp5P!%qm#@O(fy9G9$@pWF@QLK!34XwV>evZwFj5QxHi!W79Qpfy*_mX&tRN%bj2{e zU^lexV3N=cY*H|ebgJ0E9aL=(IQ$eD=_Hp&I?0T5YBqc~92;Q<YG1=rd}3`6et3U@ zwU=?dM>?&2%QfEA0FK_l$;pc+esiyM3`i%LkxnmW`9Znc1?qu{M|nO~<jt5D0GB;- z)m}lFe4BLIpUbb#J0++Oe6u(soeqo(f_bYysn7Gyb4EJJb&yUnBb{VMI=vXx2ac!z z4W^Uu%r=cq!&VJ~`j(^NN|TeE(dgtl*$$3e?+kh)>|Yw4TsOIc*D5#Fway97NT<3N zyr9Q|Y<2vc<AtM>Swe|A9WJ7iZQw3wc&-whY=gT%I>}5C-M`Jn4IV_)gK=H)vLO>J zVUa5=x!e-2ecy+91!FsRLZ3Uo!t%?8(Me{clXlKdc<E{eDUS@J)58io;o-=RkXYL= z*~xiHCz+8>xm{eL>)h6GDK3ET%NCv#rNKv6*r=Mq5m&=SmPve#)ox^MSnwFvilmd= zUeZZsq?3DB{%hW?o~UM>aXC#oP4D3Yzu&&De#yY@BAtfq3xs;fq3UHHJo8RERpe*w z%ddE;K6AOq8R;a~K|0BdbdnkA^mA}8aPhN--OKQ%Y|?4Y*gs%?w?S~NGb%<pwKbUy z+ZVS5KXFlsbQ;@XCyXArS?$vZbtjz?*1JQd{aH2K({MND@RSmDI#NWZ)SkXz8oz@* z*ntBx=_E7K>2in<JYTtmy>PqD<4C7+6@4J#_f@P(lvu_KowiK$hJn3jvFh<SO6ZDV zq*MFV-tcSh8Eo`1jAJ}0%7P2tu<F1h*5d;*E5YRQNGF+TMcgsHH_ZC9gw6S!z_&@K zQxkl^cl-v{-5C!#jZOzo`#{JzCpI+TA!nqM++Lk1PiCZ(u2mp(OG;(dOFr`$Rm7RU z+6z59X0b;vk&#ZzJ;UI{y8_m=qfx&fI(1pU7y6z$#j1tlaVDMQI!Gs(kxnuropNr) z!sXXN>fq71J|mry`zL_;Nek8e6;8aQQ>Q1fFt~}MMa{J5oRLme&0L_JeIrdkwWpks zPUp&cz+%fhR%d2G;pnvBNQpYBMRdA8(;wcy)iIL+A9&HElgt#MM9w8Y80fo)jXrgg z$1%amboGM~q0X%Hcs$%%!F<;H!eqB~%%;GbGhH!EFW9pXUwBwa%U+iA!SZ<Gk2ffO zpe|d+w)8?~C74_u=_E6)h$~gm58Qm5Slw-Le4BKNaP$LR{4REV6@Cgyr{nMa;MF-F z_Vfd;CA>slxxKn#7`9JQY*y`q+Evf8+1A*Fs$fpTgW;%44)c75EL*T%O(P+xjj_ge zFuvW5MyKj0f*@l0E%vtM2OdK@$@P*>G9#U2Mmkw+N`%`({nhp7-|_NDr_|(RaCb3N z%XiP`jC3+RoB*YUCRm)lm&Y0D^gezkTx|M_=IrN3oRLm-PI|(F6`$FFBl(3oc^xZJ zCn%y*#8p4o-JvcF8iiM!Nhg^p3=d_}abHj$HiHSz@XI9=Y-+3z?B4k+jOdRi543`1 zUiOB5ox4HDl?I(;rWbKnBfKH$O*gpUf^m!|Md|pPH|)9E1G;1)vl2|sOFGF+E8;8{ z`M`~{=5V%p2;U~1nsoGq9E&!v+6_l6(&=OcKRBm1g_cWkc}_aX?bV6$WJWrrHQWb{ zzJ6CH?!!q;6>&>S2ZLR;e0AR-WTexl8j)aC1yq0WMq|=x&XsU@*rXH;HpUpzNv?x* zk{RhFGt#L|bU*04cPS)3#>ta(y4r9AxOz^7d%?IqBc19WTnxR9`a);^u>KF7JX-lc zXj>1p=L)<sKsvRv2!K{w@2d4KpDons;OP=|$|$0f8t((=+SY{0<uCD~Nhg_+PM5>I zVg9W~U_1l6fpl8L-}-AZt2Mlu7K3?(CML(cU};-3h_*0Hb}}QK&iHx3m^?Eu9&MQH z?0R~^xy+7`>}Z(m<h-Pl%t)s?R(l|KW?KlXhia2ftLyQJH?TR}xr^&P(y8HdZ|K#i z0hk-%`iFFq+e<phjC2})p8v+npbzTXp%-{w(#bY-FDOf%s5bf7g{0F@Tf<<){uK4L z(KXIUrxgQ2q4cE>>hFKy1rX9nu7h-v8R;Z5(kU#XA7ss62t(In9i-EN)+3-rzwxlG z^A*lWCs^(PzlC;#G8Ire8lA%U6^_y!wyT@|!9FLQo>upRvJbAQ6&GD9)JcD_M4d8= z=+xgj9C9jdXBFCi;YE{9G9#Uyo(lv2Igad=Iexh$oj!FAgZXQhGyj2j+KhDa*c=Ma z!G=}uhuxwRipfkb*u$_;XrrCRYK+4;#*?D-`Wy;*V<xb%F379|lk<{JGSiB<J{7~j zbgKiq<c`<pNT*X9!eFuAI##VMehNt^JAU8Mjz(Kp^}cvfiFA_Ni*@ryD5T>;IxX)W z1O1vOGkfo^JVq69UT<Te!Qf-8mF64YCY`3POoB2WUa}c`@t2!Or#fq5!K2zKHr@*J zl1_3Rq?61@Cz+8>R<{p=&D7KCu=k&Md8E^bM~7f}{suK`!W+&=r>E1>;AGADeaBVB z>xZP%ioblpW`e1v;EQ4H)Vs$%__h8sHY(~(p-xJ6i8>uEqSHctQ|z-3{%rDUocl>9 znJEkpZ@__2SXRZ04Ku<|7Zc2^ekd&P-Oje`NWr{<O|T7tKBd>OtERr3>55@`!R9!J zK!-DHSWH)pV>~HJ=%Wy@k6prc%|&J<m|Py|Br~mubIA{ZeQ{e^&f$2zO*%FDI~1-= zcVqt~oZ^ghVmYC(q^UPMV1}2xNhi6zI#Hg?NT*jrqd{+Vip~CtU8st<&p*e)DP1-j z9${FDr(a5hhJ#9JtgMXs{m{vKYYeo_&SC!Mn3r^t>mZ$EMmouiblPT_1`mHtQ?(U7 z@bXBf25%38CCpT7SpLHq>C|lMA*g%b(!%2&szW*%`+LK6*H)UP(fE;~(MgvO2<2~l zVUCIa6zXJpr$n8O718OpgQ3v8eLV<p!cQ>iBr`>H|FVb>h>vOxW11c2aZIqS?!i!{ zwi$#hkHox!txFApNh`ZSP#7+!b;U5fV53}vpv52E!R@eNDgLch5WE}M6EtrPOL4h8 z(n)5d)3tHIFyXh3;P!hcua|UkuN?xX_>;k2S&5vHPMVh?P&2s+{1cPG8R;aqmvoXD z>Gb=nC`cGn3MN?KI+JvIbdJ9p;rnZKVtHiQJSob`%tY9G{;1m0>oVV_(W$^A0b*vA zf`ZC7IU}9qI!Gs(kxnuroep&w4guvi!2YIK2kGSIH5E!Xp9|0U3%h^lRAu!B$UHj` zzHi3;Bc1lv42GDYyVQqmae^kDlG=nrowj$>aVO6e>h#Bh5_LLWM5jU7VX$OPE!Yr> zyG1(5OcC9mcQF(iJZuc*jPZ0G6U^pl2n5t^19snHF|S}X{|SbgPG%5u0nh*FieY-e zHe?0Eq;cku`3U0}Pm0pbCKx_U>;%^uVwYM8CYMJ#$xJKab~uGVFXMLnA$3%nbXwgn z6s*^_faKLUdXi2TehP!3y&A$>9iGA?o#ggn-HIYJ(&?AG(Xb@vvs%_3*Bq*dyAT}< zZ6-fgL;E2koj%$nLF4$tYL8spCY>hrON5kdA61vixL6>a<T^+vnUPL1Bb}l%M?=L? z>tSRItb=rVU^fHC|M54d0eGhXjZV9hH$kJ={$M!;_m6bS=)(Jr-;Z_kHugE`G`4>P zjH_`~9ms#fX4nwx<%&{Dd0sxc5*~}P_#g3asI`N+qL?U&-=iw^?iya{H%?0_3#?n6 zJ2S-MM?#IxoH^6y-#q+(S__AsM&*?mOReo^c9^qZ)_?zke;qZu-!gtslq6m(7VTP! zM^sa$Tie;rvbMK1b+B3Hu-M+F9H-@#nYMN|rt_@l+Efsmg@u|ZqfG5>7T8!j7>n|? z7ADH*|BZ|?oj-HtBAb6>uq~sDkaCLkJlna}4mLlUT^6f!u(AKKZLE|kt<0N0&jzb8 zR*b3`c67n)`SWI(a9l;Po;%IfW}buTOzY_m^X+k$@R(FlX4uZ0xp<Mye>fIXRavya zX8K|~Yx^R9Fi~ulE#P&{`*)8S`%mcf`F8Uc+v8!uqxd8Jq&V1H&s#LtcF`i+`SXgD zS6P{BYi~clXf+iSdz+c|d{=pnABWFaG5&8me^}Ak=>KFz@6yr23N97@_dm0OAMIr} p|2HT4V4*y@{EwX|Eb{*w@vjyCkBvA~wx|)m|JmOZ`|H2|{uc)mXORE^ literal 0 HcmV?d00001 diff --git a/examples/DDCAD/models/Collada/duck.dae b/examples/DDCAD/models/Collada/duck.dae new file mode 100644 index 000000000..c31fd2048 --- /dev/null +++ b/examples/DDCAD/models/Collada/duck.dae @@ -0,0 +1,199 @@ +<?xml version="1.0"?> +<COLLADA xmlns="http://www.collada.org/2005/11/COLLADASchema" version="1.4.1"> + <asset> + <contributor> + <author>gcorson</author> + <authoring_tool>Maya 8.0 | ColladaMaya v3.02 | FCollada v3.2</authoring_tool> + <comments>Collada Maya Export Options: bakeTransforms=0;exportPolygonMeshes=1;bakeLighting=0;isSampling=0; +curveConstrainSampling=0;exportCameraAsLookat=0; +exportLights=1;exportCameras=1;exportJointsAndSkin=1; +exportAnimations=1;exportTriangles=0;exportInvisibleNodes=0; +exportNormals=1;exportTexCoords=1;exportVertexColors=1;exportTangents=0; +exportTexTangents=0;exportConstraints=1;exportPhysics=0;exportXRefs=1; +dereferenceXRefs=0;cameraXFov=0;cameraYFov=1</comments> + <copyright> +Copyright 2006 Sony Computer Entertainment Inc. +Licensed under the SCEA Shared Source License, Version 1.0 (the +"License"); you may not use this file except in compliance with the +License. You may obtain a copy of the License at: +http://research.scea.com/scea_shared_source_license.html +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +</copyright> + <source_data>file:///C:/vs2005/sample_data/Complete_Packages/SCEA_Private/Maya_MoonLander/Moonlander/untitled</source_data> + </contributor> + <created>2006-08-23T22:29:59Z</created> + <modified>2007-02-21T22:47:42Z</modified> + <unit meter="0.01" name="centimeter"/> + <up_axis>Y_UP</up_axis> + </asset> + <library_cameras> + <camera id="cameraShape1" name="cameraShape1"> + <optics> + <technique_common> + <perspective> + <yfov>37.8492</yfov> + <aspect_ratio>1.5</aspect_ratio> + <znear>1</znear> + <zfar>10000</zfar> + </perspective> + </technique_common> + </optics> + </camera> + </library_cameras> + <library_lights> + <light id="directionalLightShape1-lib" name="directionalLightShape1"> + <technique_common> + <directional> + <color>1 1 1</color> + </directional> + </technique_common> + </light> + </library_lights> + <library_images> + <image id="file2" name="file2" depth="1"> + <init_from>./duckCM.tga</init_from> + </image> + </library_images> + <library_materials> + <material id="blinn3" name="blinn3"> + <instance_effect url="#blinn3-fx"/> + </material> + </library_materials> + <library_effects> + <effect id="blinn3-fx"> + <profile_COMMON> + <newparam sid="file2-surface"> + <surface type="2D"> + <init_from>file2</init_from> + <format>A8R8G8B8</format> + </surface> + </newparam> + <newparam sid="file2-sampler"> + <sampler2D> + <source>file2-surface</source> + <minfilter>LINEAR_MIPMAP_LINEAR</minfilter> + <magfilter>LINEAR</magfilter> + </sampler2D> + </newparam> + <technique sid="common"> + <blinn> + <emission> + <color>0 0 0 1</color> + </emission> + <ambient> + <color>0 0 0 1</color> + </ambient> + <diffuse> + <texture texture="file2-sampler" texcoord="TEX0"/> + </diffuse> + <specular> + <color>0 0 0 1</color> + </specular> + <shininess> + <float>0.3</float> + </shininess> + <reflective> + <color>0 0 0 1</color> + </reflective> + <reflectivity> + <float>0.5</float> + </reflectivity> + <transparent> + <color>0 0 0 1</color> + </transparent> + <transparency> + <float>1</float> + </transparency> + <index_of_refraction> + <float>1</float> + </index_of_refraction> + </blinn> + </technique> + </profile_COMMON> + </effect> + </library_effects> + <library_geometries> + <geometry id="LOD3spShape-lib" name="LOD3spShape"> + <mesh> + <source id="LOD3spShape-lib-positions" name="position"> + <float_array id="LOD3spShape-lib-positions-array" count="6324">35.0226 89.3874 23.3732 19.5676 89.7173 22.4879 9.22909 91.5427 17.1037 4.33048 88.7008 4.57726 45.0571 89.4178 19.824 -30.5196 11.6272 25.1326 -15.6992 11.4278 34.2321 51.8411 17.7055 36.5602 65.7206 18.372 27.0862 56.0117 11.4345 22.6963 -23.2343 18.1488 41.0429 -40.9218 18.6322 29.6382 62.4487 11.3989 12.9806 60.2326 28.1944 39.5949 71.2984 29.0359 29.3335 -32.9737 29.6914 43.477 -48.95 28.9358 31.4102 73.8118 41.7425 29.8584 65.2513 41.3955 39.884 72.6597 55.003 29.2468 64.6263 55.4849 38.2648 66.5829 66.4165 27.9218 55.5179 67.734 35.7358 43.4971 75.6992 31.8699 56.934 75.0037 25.7495 14.7601 73.8701 35.1574 -12.1248 73.9991 28.9191 14.7016 78.8465 28.8886 -3.37962 78.0576 23.1953 -24.7824 78.2304 7.65121 4.94216 81.4267 15.8195 -54.7257 89.9761 8.84491 -53.6566 74.7375 26.9735 -44.1714 77.8938 26.1268 -64.7587 73.8997 7.15297 -61.5691 65.6958 25.2253 -42.9296 61.2502 39.4496 -64.9663 57.2673 21.7398 -48.9596 49.2561 39.8218 -58.3698 43.9468 28.036 -31.7993 70.8398 33.4366 -33.1153 82.3349 8.62471 48.2452 81.0789 22.327 34.1225 80.5718 26.6473 15.5527 81.3807 24.423 0.65596 81.0723 3.99376 15.1798 11.41 36.4164 17.2973 17.3674 43.2976 43.8649 67.7941 39.8677 55.9835 56.1625 42.7808 56.4187 41.7648 44.4371 46.9566 29.0085 44.2399 18.041 21.337 45.4158 -24.2634 29.7596 46.4694 -37.1346 44.6474 44.4312 -35.8668 57.8953 42.7333 -24.1626 66.8013 39.6298 -14.2645 43.4767 51.8892 10.1522 43.8267 53.9252 -10.3735 36.316 51.8336 -14.5047 52.2745 51.0455 9.35439 52.1796 53.5056 24.5685 36.9247 52.4691 11.2191 35.6243 52.5988 27.0248 44.5585 52.8835 25.4374 55.0852 52.0724 9.23132 59.258 51.2115 21.2751 61.6417 50.3945 -11.0645 57.3325 50.3033 -22.8339 53.8174 48.6047 -22.3883 43.3299 49.8488 -13.3437 34.4469 50.7719 -15.0193 59.7488 48.0109 12.3031 31.6369 51.4681 28.2 34.9703 51.4911 34.9314 44.1559 51.2583 33.7281 55.8993 50.0475 24.8495 63.37 48.6114 9.96162 62.8873 48.4038 6.73344 84.5266 2.83788 10.2211 84.9641 13.1445 19.05 85.0093 20.4734 35.2584 84.9759 22.0089 44.8651 85.199 18.7578 54.1484 90.1992 13.1393 25.84 89.3162 23.5593 14.5318 90.4728 20.5795 5.99276 89.5698 10.1098 59.1034 90.0324 3.37689 -23.9364 11.5353 30.6125 -11.459 10.0413 29.8243 -24.5326 10.1147 22.2069 -35.1528 11.6836 17.7191 61.5472 14.2726 25.2082 43.6854 11.43 30.0164 47.7677 14.1162 33.6212 -19.459 14.309 37.9267 -36.067 14.5054 27.6816 -32.9292 18.5574 36.7248 -46.1733 18.6604 20.5246 73.3418 18.3468 14.9194 68.8732 23.4107 28.4208 55.7803 22.4988 38.5465 -27.0171 23.4671 43.0366 -45.2302 23.6628 30.9246 -41.0731 29.3325 39.4763 79.4615 29.1894 16.0672 76.9844 23.4678 15.5749 72.8865 35.1223 29.8369 63.2406 34.5574 39.8307 81.8608 42.114 16.7292 80.9318 35.3877 16.409 66.0817 48.5555 39.2449 73.9987 48.5347 29.6857 80.1688 55.1853 16.948 81.5894 48.8387 16.9628 61.1927 62.0057 37.295 70.17 61.0152 28.6395 74.8647 66.3268 16.601 77.7874 61.0196 16.7611 61.7637 71.037 26.8557 67.1835 75.4493 16.6366 71.6321 71.1772 16.667 -7.40039 76.1581 26.3759 14.8335 76.3145 32.0471 -20.947 75.0059 21.3995 -9.30957 78.0917 17.6635 2.33308 81.2658 10.7014 -55.3055 81.4823 20.1865 -44.1025 82.8784 21.08 -48.3998 77.2606 26.9595 -63.8341 69.8359 17.705 -58.2579 70.6396 26.4175 -58.1459 60.4109 31.5845 -50.1918 68.7831 33.097 -53.5557 46.1592 34.9928 -63.069 52.729 24.0553 -63.6495 60.7883 23.3658 -54.4261 28.5392 21.6382 -12.4228 39.2454 51.9419 -52.1766 34.1006 30.9987 -39.3582 37.1753 42.8245 -63.2047 33.3562 7.77354 -14.9689 48.0973 51.5712 -13.2184 68.1588 38.5488 -20.841 71.9312 31.5875 -34.0814 73.6573 23.1685 39.0864 77.6536 29.4959 52.286 78.2905 24.2985 28.6752 75.0467 34.74 24.5284 79.4248 29.0977 58.2456 81.6454 14.9372 62.5867 78.8584 16.1198 -40.058 73.3058 29.0169 -62.4832 42.7738 19.6053 -66.2542 57.7677 16.0138 -46.3972 55.562 40.3341 46.1403 83.2928 20.059 52.8472 87.516 12.3304 24.3957 81.2413 26.4145 17.5457 83.2299 21.6568 35.0308 86.9496 21.9178 5.66061 83.0193 2.97282 39.2717 10.0042 25.9897 49.7414 9.99683 19.7068 14.6156 10.0124 31.7958 28.2119 11.4278 34.5791 55.179 10.0309 11.4214 16.1259 13.9798 40.2177 33.0793 17.7336 41.3765 18.9195 36.2041 52.5892 10.6044 39.6524 53.4314 18.2523 44.3116 53.7955 25.9535 39.9994 52.7745 9.73549 48.0914 53.8815 16.9236 53.6009 53.2898 26.8721 49.8693 52.6952 9.12603 55.8675 52.7181 15.9783 60.8706 50.8542 23.2428 59.2083 51.1997 15.2006 70.9348 38.4909 -38.0814 66.6122 37.6368 -31.4745 63.2943 41.295 -12.9337 55.4359 50.6592 -29.8093 42.9681 46.5354 -18.6612 31.1764 47.8255 -30.266 55.8423 44.7033 36.2897 31.2217 48.0605 46.511 42.7776 47.7899 45.6636 56.4673 46.2574 32.8524 66.1703 44.2955 12.3579 67.2602 43.2175 -19.149 38.1518 50.4005 -23.6628 48.8825 49.2194 21.1045 32.7401 51.4785 32.4268 38.9651 51.46 35.2465 50.0413 50.7771 17.9201 63.7837 48.4371 30.018 60.597 49.2453 -20.4236 57.6424 48.1257 -7.11345 60.5511 48.2081 -5.54756 57.4675 50.6459 -6.2067 51.4293 52.475 -5.95461 43.3855 53.166 -4.66971 35.7333 52.2177 -5.70251 32.445 51.1085 -8.3205 17.8723 43.3717 -2.69678 11.3425 36.4653 -27.2981 42.8866 48.0687 -27.8897 55.043 46.5161 -16.4436 32.2248 49.3054 -18.5848 62.3861 45.599 13.6265 28.0639 49.9986 41.3922 43.4352 49.4685 32.3868 32.7171 49.8711 40.4699 56.3449 48.0345 28.9733 65.0389 46.3945 11.0523 65.6624 45.6909 -37.9272 11.78 6.99728 -50.2675 18.389 7.36354 75.8256 18.3928 2.93945 64.2756 11.6576 2.65993 82.8128 29.1368 2.93945 85.8726 42.1384 2.93945 84.9147 55.2091 3.25752 79.936 66.2007 3.25752 72.9207 75.6569 3.11665 -13.2799 78.2816 6.78078 -42.4217 91.5301 9.02211 -66.2519 42.375 7.59116 -67.9758 58.5114 6.99802 8.76422 81.5601 20.2429 8.65004 83.1534 13.7124 6.16626 86.3527 3.3376 10.3479 87.4003 13.9949 7.91973 84.7475 8.18356 19.5238 87.0994 20.6484 13.8638 85.0248 17.2846 35.1961 83.043 23.5111 26.055 84.941 22.3278 44.4291 87.1742 18.6599 55.1672 83.7325 13.2216 53.3737 85.5572 12.3674 -18.7264 10.108 26.6814 -28.5504 10.1785 15.7995 -28.6467 14.412 33.9793 -40.9463 14.6426 19.2219 68.6182 14.2022 14.0757 -36.9819 23.7436 38.5844 48.5084 72.1529 33.9029 -14.7042 76.6096 19.7209 -49.515 83.8778 20.7678 -60.3339 76.3635 19.0618 -54.5522 64.8765 32.9243 -60.8158 55.9957 28.5728 -50.6442 23.4975 21.2438 -45.1383 35.1824 39.0803 -57.747 33.5446 21.51 -27.5531 73.6877 22.8942 26.6207 76.9559 31.9144 -39.393 77.9086 22.2647 -65.5928 51.6658 17.2594 -44.8336 71.3336 32.1213 -65.569 63.5509 16.5565 25.3055 83.1594 23.781 12.1192 83.2358 18.075 25.9631 10.0257 30.0393 30.5288 14.0969 38.2233 18.4628 39.992 53.2994 17.691 48.9863 53.8221 16.1429 57.6002 52.3171 32.2615 71.41 37.9727 51.4408 62.676 41.4618 57.6406 48.9151 43.8433 52.9177 35.0586 44.5773 36.217 23.1483 43.9056 -31.7681 36.6178 45.7769 -37.83 51.5724 43.6927 -25.9576 36.5644 47.2776 -31.2662 49.6491 45.6583 26.7542 27.5116 48.1161 23.2102 67.8126 43.5534 -9.81152 64.5785 42.5347 -5.73514 54.6841 51.8166 -6.34459 47.5345 53.0926 -5.18279 39.3551 52.8687 -13.0679 23.5531 45.6457 -5.21985 14.0791 40.2548 -0.679352 10.0168 31.8299 -28.752 49.271 47.2864 -23.8534 36.6519 48.7626 -24.6964 59.5316 45.8889 -7.15942 29.3978 49.7079 38.1551 37.5127 49.7814 23.9612 29.5453 49.9126 42.2701 49.9123 48.8776 35.8278 61.6884 47.1419 20.5055 66.243 45.9037 -8.95663 63.2617 45.5834 -31.1142 10.1703 6.38486 -44.1714 14.6552 7.27827 70.6407 14.3913 2.92833 79.9353 23.413 2.93945 84.5803 35.3544 2.93945 85.9631 48.8595 3.25752 82.8254 61.0226 3.25826 76.7546 71.3433 3.2553 -19.2017 77.8115 7.33611 -48.5489 92.2656 9.06511 -60.1596 84.4057 8.28143 -55.757 23.043 7.73055 -29.2013 79.6561 8.08569 -37.1064 88.1752 8.91461 -68.0046 51.5783 7.15372 -66.9147 65.618 7.07735 57.0756 10.1525 2.28551 6.64003 83.0734 8.64102 7.67061 86.759 8.63805 14.3983 87.2706 17.8748 26.21 86.9437 22.1654 62.3057 92.5874 2.9313 1.3848 69.2606 38.5873 1.56273 65.4519 43.0262 1.32251 64.1537 45.6605 4.95551 9.99831 32.3904 4.63076 11.3477 37.0599 4.48174 13.922 40.9628 4.08211 17.3859 43.9419 3.02928 21.4474 45.8963 3.07525 28.2293 49.9356 3.11009 31.6361 51.3265 3.03002 35.4574 52.4675 2.61333 39.4033 53.3009 2.11362 43.4389 53.8266 1.75772 47.519 53.7873 1.63762 51.3863 53.3032 1.70287 54.8295 52.4802 1.76736 58.0161 51.0099 1.52196 61.5001 48.3586 1.93642 72.8387 33.8763 3.64763 75.9142 30.548 5.31806 78.4269 26.9639 58.5778 87.5953 2.23361 59.1501 85.8263 2.11721 61.5583 84.2063 2.51758 64.9644 82.1214 2.892 69.0133 79.1475 3.00989 32.7991 89.7151 -30.4233 18.3501 89.4171 -27.9721 8.67525 89.5668 -20.9938 2.39314 90.3705 -9.85685 41.3633 90.1718 -28.7054 -31.106 11.4775 -32.9686 -16.1893 11.413 -41.8242 -37.8441 11.7199 -17.9362 51.1145 17.827 -43.7764 65.4167 18.372 -34.6672 55.5386 11.4663 -30.2365 -22.7101 18.3816 -48.1723 -41.2258 18.6322 -37.22 -49.9064 18.1281 -19.4546 62.0944 11.4196 -20.5393 59.314 28.4606 -46.5397 70.9277 29.0352 -36.8544 -33.1991 29.873 -50.7109 -49.3615 28.878 -39.0246 73.4812 41.7559 -37.3453 64.6226 41.5905 -46.5931 72.9066 55.0971 -37.0309 63.9264 55.2231 -45.5736 67.308 66.4328 -36.116 55.8026 66.7664 -44.1694 43.9561 74.6649 -39.815 57.8297 75.238 -34.1393 15.5401 73.1894 -42.5115 -12.2174 73.8819 -36.4385 15.3978 78.7998 -35.5147 -2.0421 78.412 -29.475 -24.7876 76.5792 -19.7267 -12.534 78.2897 -17.6678 4.34457 81.1227 -24.1642 -55.8163 87.2424 -22.0756 -43.7036 88.3494 -22.3158 -54.1303 74.7924 -34.6324 -44.4888 77.8752 -33.6648 -65.5053 72.5896 -18.5049 -61.9613 65.7536 -32.9553 -43.4634 60.448 -47.4894 -65.1954 57.0723 -29.5143 -59.2654 27.9119 -20.2361 -49.2087 49.1998 -47.3723 -58.9689 43.7199 -35.5858 -66.3446 42.1948 -19.4391 15.5861 70.0443 -46.0785 -33.1287 69.3852 -41.4713 -34.4892 80.0254 -21.5618 48.699 81.1865 -30.8689 34.2382 80.5703 -34.2498 16.5759 81.1153 -31.895 0.727875 81.1872 -12.4148 -68.018 58.2133 -17.8183 14.7802 11.3848 -44.0174 16.9221 17.4452 -50.8066 -13.0864 43.3447 -58.8481 10.4495 43.9097 -61.0858 -9.32663 36.6667 -59.0505 -14.22 51.903 -58.0496 9.45597 51.998 -60.0277 24.246 37.0634 -60.5519 11.3896 35.7436 -60.2776 26.5918 44.6467 -61.0071 25.4626 54.4929 -59.5273 9.00666 58.9948 -57.2808 21.3366 60.5555 -57.2059 -11.1972 57.2725 -56.9708 -22.2438 53.1256 -56.0203 -20.3457 43.0689 -57.3067 -12.1122 35.0371 -58.1689 -14.9222 59.3774 -55.2218 12.2904 31.7184 -59.1973 27.7581 35.2002 -59.4961 33.8971 44.4969 -59.5273 32.7486 55.5991 -57.9969 24.5692 62.5262 -55.8246 9.69026 62.3164 -55.2589 6.31009 84.6215 -9.59067 9.94086 84.9232 -20.0693 19.0219 85.0345 -27.4843 34.7653 85.0426 -29.4209 44.1941 85.119 -26.7866 50.8728 90.6708 -23.6459 25.0482 89.5646 -29.954 12.9607 89.423 -24.9078 5.25504 89.8204 -16.202 3.24726 88.5844 -2.72431 56.928 89.7848 -10.5352 -24.3405 11.4359 -38.3603 -12.0514 9.99387 -37.4698 -25.119 9.92937 -30.186 -35.4745 11.6324 -25.6774 -30.9667 10.1577 -16.9998 61 14.303 -32.6913 42.9826 11.5093 -37.4209 46.9722 14.2133 -40.7944 -19.5197 14.3549 -45.3897 -36.488 14.4595 -35.3605 -33.1887 18.5722 -44.2309 -44.1233 14.4447 -18.6976 -46.6619 18.3928 -28.2843 73.0378 18.3468 -22.5011 68.5692 23.4107 -36.0025 54.8395 22.7093 -45.7182 -26.8814 23.6917 -50.1401 -45.535 23.6628 -38.5063 -41.3718 29.3444 -46.7703 79.1575 29.1894 -23.6481 76.6804 23.4678 -23.1566 72.5633 35.1268 -37.3883 62.517 34.8109 -46.6606 81.5568 42.114 -24.311 80.6278 35.3877 -23.9899 65.2083 48.5511 -46.1149 73.84 48.5629 -37.3 80.6871 55.3477 -24.807 81.674 48.8988 -24.6283 60.7961 61.4452 -45.0316 70.7794 61.119 -36.7907 75.5475 66.5218 -24.6246 78.6126 61.265 -24.804 62.9885 71.049 -35.1951 66.8647 75.4648 -24.4251 71.4756 71.2009 -24.4489 -6.85692 76.1307 -33.2993 15.3904 76.124 -38.9186 -20.6749 74.9933 -28.8188 -18.659 77.1776 -18.9697 -8.319 78.3549 -24.2702 1.96458 81.2562 -18.3514 -55.843 81.314 -28.5504 -49.6254 89.3466 -22.4648 -44.4451 82.6048 -28.9686 -48.6808 77.2324 -34.5316 -64.3131 69.6573 -25.8984 -61.7107 81.899 -20.9783 -58.7835 70.7123 -34.1097 -58.4469 60.3879 -39.1736 -50.5077 68.7809 -40.6817 -54.183 45.9931 -42.2824 -63.8549 52.5711 -32.0063 -63.9335 60.729 -31.1655 -54.957 22.8131 -19.9766 -55.152 28.2115 -29.5499 -11.2032 39.4137 -59.029 -53.076 34.2815 -38.5249 -39.7533 37.3377 -50.1979 -63.1283 33.463 -20.1464 -14.2141 47.7244 -58.4915 -30.0695 77.3155 -20.5683 -21.5757 71.2928 -39.3886 -34.2579 73.9026 -30.84 39.2161 77.6454 -37.0836 52.7939 78.4766 -32.8685 29.7051 73.7336 -42.0511 25.218 79.3136 -35.8083 57.9394 81.7173 -23.2211 62.3879 78.9177 -24.2442 -40.3947 73.317 -36.5831 -38.6256 84.6334 -22.1512 -63.1328 42.5522 -27.8513 -68.0395 51.255 -18.387 -66.6864 57.5891 -24.6884 -46.719 55.3544 -48.0974 -67.0838 65.1042 -17.911 46.0958 83.2499 -28.6417 50.9529 87.3143 -20.6038 25.2513 81.0708 -33.3601 17.9216 83.2039 -29.0153 34.0372 87.1164 -29.0287 5.17719 83.0067 -10.4967 38.7965 10.0502 -33.6129 49.3922 10.0272 -27.3241 14.187 9.93604 -39.5629 27.7425 11.4278 -42.1534 55.0359 10.0176 -19.0023 15.6372 13.9546 -47.8631 32.7953 17.7996 -48.8099 18.8513 36.2745 -60.5645 10.861 39.7903 -60.8997 18.3879 44.3219 -61.3282 25.5709 40.1514 -60.9249 9.98461 48.0417 -60.7803 17.172 53.0256 -60.1664 26.7053 49.7018 -60.6231 9.02446 55.628 -58.8755 15.9709 59.969 -57.3289 23.2776 58.2326 -58.209 44.1377 66.4765 -47.442 32.9162 70.0487 -45.5996 -39.1943 64.8054 -45.7138 55.5401 55.5242 -49.7715 51.248 61.6595 -48.7462 56.0065 41.9561 -51.2803 57.0734 48.8091 -50.5693 46.5132 29.225 -51.505 52.5663 35.3329 -51.6029 17.5056 21.4015 -53.1414 35.7529 23.258 -51.4249 -24.8654 30.3579 -52.8774 -37.595 44.6801 -51.7631 -32.3879 37.056 -52.6379 -36.3175 56.5451 -50.6094 -38.0947 50.8613 -51.419 -25.0582 65.9138 -47.2878 -13.0315 55.2283 -57.5699 -29.5994 42.7331 -54.0504 -17.7196 32.1054 -55.3997 -31.0452 54.9518 -52.1567 14.4814 25.6447 -55.9766 35.6595 31.6265 -55.6473 45.0786 43.2372 -55.4835 44.2682 56.1306 -54.0718 32.613 65.3459 -51.8098 12.2638 66.6664 -50.3239 -16.8788 38.5536 -57.7812 -22.2779 48.1633 -56.692 20.9614 32.7638 -59.3975 31.7892 39.2914 -59.6303 34.2463 50.1711 -58.9927 17.7651 63.1379 -55.4049 29.3959 59.9275 -56.7944 -19.9928 57.0804 -55.4805 -7.23875 60.3598 -55.204 -5.65804 57.5512 -57.0761 -6.0065 51.3551 -59.049 -5.22208 43.4715 -59.8809 -3.96387 36.0409 -59.508 -5.15608 32.8988 -58.5686 -13.5854 23.9342 -52.6112 -9.06415 18.1577 -50.5723 -3.25877 11.387 -43.9714 -26.2193 42.6871 -55.6006 -28.5919 54.4558 -53.8865 -15.0875 33.3422 -56.7928 -18.825 61.9909 -52.8915 13.3618 27.7844 -57.7174 39.8055 43.952 -57.5439 31.8122 33.1212 -57.6826 38.9151 56.1492 -56.0878 28.5307 64.3375 -53.8731 10.8825 65.2576 -52.8604 -38.7872 11.7814 -10.3899 -51.3804 18.2081 -11.1306 75.9308 18.2734 -10.619 64.3713 11.5264 -10.1319 82.6956 29.1294 -10.748 85.6139 42.137 -11.5317 84.7924 55.3455 -12.4133 79.6343 66.3979 -12.9219 71.6684 75.6332 -12.7061 -25.2621 79.1542 -11.2952 -14.3624 78.3676 -10.5812 -55.4174 91.1379 -15.1558 -43.1913 92.0224 -14.9719 -65.5402 74.7902 -11.1558 -61.0434 28.0454 -11.3123 -32.6111 84.6875 -12.5304 -67.2833 42.4839 -10.9141 -68.8802 58.6841 -10.4374 0.543259 81.1205 -6.22162 9.52418 81.0708 -28.7966 8.37571 83.1824 -21.1125 5.53085 86.6678 -9.24443 6.35532 84.3783 -3.72153 9.91936 86.9399 -19.9543 7.46301 84.8157 -15.1358 19.1716 86.9829 -27.1848 13.7244 84.9789 -24.2465 35.0315 83.0667 -31.2656 26.1633 85.0641 -29.3275 42.8321 87.2394 -26.5835 54.4673 83.6613 -21.5529 52.1903 85.3592 -20.4029 -19.1772 9.97014 -34.5627 -29.0093 10.0524 -23.9684 -28.9966 14.3787 -41.6404 -41.4341 14.4313 -27.1351 68.2653 14.2141 -21.6559 -37.1724 23.751 -45.8917 49.1935 70.9503 -42.3484 -14.5648 76.6133 -27.0075 -49.8916 83.6109 -28.9872 -61.1227 76.1114 -27.2671 -55.0601 65.0337 -40.5186 -61.3029 55.8348 -36.2984 -51.2017 23.1727 -29.0783 -45.8464 35.4359 -46.3143 -58.6945 33.6906 -29.4149 -27.3062 73.8878 -30.3291 27.1279 76.7275 -38.8845 -39.6428 78.0687 -29.8339 -66.1326 51.3373 -25.8257 -45.1368 71.2869 -39.6934 -65.8464 63.4174 -25.0094 25.8474 83.1357 -30.877 12.1451 83.2039 -25.5855 25.4849 9.93826 -37.9992 30.078 14.1043 -45.7664 18.448 40.0625 -61.2347 17.9876 48.7616 -61.0605 16.2348 56.7727 -58.8674 -32.2767 62.0154 -49.2051 -13.9368 67.8282 -45.9206 -24.8684 37.0434 -54.8511 -31.525 48.8313 -53.174 26.4258 27.5071 -55.6637 23.2554 67.017 -50.8845 -10.1563 64.4547 -50.0444 -5.75739 54.7064 -58.2557 -5.8419 47.5145 -59.5984 -4.37907 39.5768 -59.8409 -5.9761 14.2111 -47.5917 -0.926239 9.96272 -39.5747 -28.5177 48.5533 -54.7769 -21.6936 37.4949 -56.2842 -25.4638 59.1765 -53.191 -6.8028 30.1029 -57.2111 37.0326 38.1125 -57.7227 23.7499 29.4563 -57.6722 40.6137 50.1599 -57.0286 34.858 61.1842 -54.92 20.4387 65.7863 -53.1414 -9.18353 63.1068 -52.8225 -31.7926 10.1666 -9.9777 -45.2866 14.5017 -10.8326 70.7816 14.2259 -10.5137 79.9368 23.3648 -10.642 84.3683 35.367 -11.0661 85.8037 48.9262 -12.0255 82.7112 61.2146 -12.6921 76.0168 71.4278 -13.3949 -20.2604 77.9924 -11.2248 -49.3845 92.9811 -15.3182 -60.8729 85.6046 -14.2238 -56.4851 22.8762 -11.2211 -64.3531 34.2467 -11.1677 -29.1309 81.0871 -11.445 -37.3177 89.3021 -14.5323 -69.0093 51.6317 -10.622 -67.6547 66.1837 -10.4878 5.71547 83.0356 -4.42811 57.0919 10.0917 -9.5929 6.03725 83.0742 -16.133 5.45968 86.1214 -3.26036 7.12048 86.8962 -15.0149 13.8867 86.9385 -24.0596 25.9809 87.0964 -28.959 -11.6043 122.781 8.68477 -11.2981 122.692 9.69681 -10.977 122.366 10.6888 -10.6656 121.82 11.586 -10.3765 121.078 12.3445 -10.1237 120.175 12.9302 -9.91827 119.156 13.3142 -9.77222 118.067 13.4803 -9.68768 116.96 13.4188 -9.67062 115.887 13.1341 -9.72327 114.899 12.6358 -9.85822 114.021 11.8907 -10.7227 112.914 8.71887 -11.1023 127.944 8.41562 -10.4921 127.767 10.4464 -9.85971 127.122 12.423 -9.24655 126.037 14.2114 -8.68082 124.561 15.7276 -8.18628 122.764 16.8946 -7.78964 120.733 17.6635 -7.49306 118.563 17.9719 -7.3344 116.363 17.8451 -7.30846 114.233 17.2735 -7.41818 112.273 16.2733 -7.69992 110.534 14.786 -8.2775 109.033 12.4727 -9.35776 108.08 8.5424 -9.95609 132.998 7.96262 -9.04932 132.737 10.981 -8.11142 131.781 13.9103 -7.20317 130.173 16.5602 -6.3661 127.988 18.8075 -5.64024 125.328 20.5468 -5.05821 122.318 21.6961 -4.64821 119.099 22.2025 -4.42282 115.824 22.0238 -4.39761 112.65 21.1845 -4.56294 109.746 19.6875 -4.97073 107.211 17.3891 -7.42485 103.383 8.21767 -8.20483 137.879 7.33685 -7.0141 137.537 11.2983 -5.78555 136.284 15.1374 -4.59557 134.176 18.611 -3.49826 131.313 21.5559 -2.54626 127.827 23.8351 -1.78407 123.883 25.3417 -1.24654 119.664 26.006 -0.958862 115.367 25.7954 -0.932175 111.202 24.7018 -1.15683 107.411 22.6977 -1.71957 104.094 19.6809 -4.90993 99.0215 7.7476 -5.87453 142.516 6.54797 -4.41762 142.098 11.3954 -2.91623 140.566 16.0879 -1.46082 137.989 20.3341 -0.119568 134.489 23.9337 1.04373 130.229 26.72 1.97571 125.407 28.5617 2.63261 120.249 29.3728 2.98405 114.998 29.1163 3.01297 109.897 27.8025 2.72233 105.248 25.381 2.00388 101.315 21.4907 -1.90344 95.1527 7.08847 -2.99854 146.84 5.6071 -1.29695 146.353 11.2694 0.45578 144.564 16.7478 2.15439 141.556 21.7035 3.72029 137.47 25.9059 5.07858 132.497 29.1585 6.16626 126.869 31.3079 6.93364 120.848 32.2555 7.3429 114.718 31.9552 7.37701 108.764 30.4219 7.02557 103.335 27.5927 6.15958 98.8146 22.9217 1.31064 91.5316 5.92221 0.38089 150.789 4.52833 2.30194 150.239 10.9231 4.28081 148.22 17.1066 6.19814 144.825 22.7007 7.96496 140.213 27.4444 9.49823 134.6 31.1152 10.7268 128.246 33.5419 11.592 121.45 34.611 12.0547 114.531 34.2722 12.0932 107.81 32.5417 11.6995 101.628 29.4492 10.7461 96.4739 24.1724 4.21408 154.305 3.32648 6.32714 153.7 10.3604 8.50323 151.481 17.1593 10.6111 147.749 23.3102 12.5537 142.677 28.5254 14.2397 136.505 32.5617 15.5905 129.519 35.2301 16.5418 122.048 36.4053 17.0504 114.439 36.0331 17.0919 107.05 34.1306 16.6589 100.258 30.74 15.7233 94.7279 25.791 8.4454 157.338 2.02082 10.7201 156.687 9.59079 13.0608 154.299 16.9057 15.3288 150.283 23.5229 17.4189 144.827 29.1348 19.2332 138.186 33.4774 20.6856 130.67 36.3481 21.7103 122.631 37.6123 22.2575 114.445 37.2119 22.3019 106.495 35.1648 21.8259 99.2209 31.4888 20.825 93.3985 26.5962 13.0133 159.842 0.628418 15.4163 159.154 8.62471 17.8875 156.633 16.3489 20.283 152.392 23.3369 22.4903 146.631 29.2623 24.4054 139.618 33.8481 25.9394 131.682 36.879 27.0211 123.193 38.2151 27.5987 114.549 37.7917 27.6461 106.153 35.6297 27.1561 98.4202 31.8069 26.2026 92.3353 26.7949 17.8512 161.781 -0.829224 20.3468 161.067 7.47549 22.9136 158.449 15.497 25.4011 154.045 22.7534 27.6929 148.063 28.9072 29.6814 140.78 33.6686 31.2747 132.539 36.8168 32.3972 123.724 38.2032 33.0378 114.732 37.7776 33.1394 106.004 35.5511 32.5863 97.9694 31.5919 31.965 91.3737 26.2299 28.0317 162.761 5.43213 30.6652 160.074 13.6627 33.218 155.556 21.1096 35.5698 149.416 27.4236 37.6109 141.943 32.3103 39.2458 133.487 35.5408 40.3779 124.44 36.8931 41.0778 115.182 36.3645 41.3685 106.251 34.3441 40.5714 98.0124 30.0964 39.483 90.8428 24.5869 25.47 163.494 -3.09354 33.2647 163.97 -5.38011 35.8181 163.241 3.11665 38.442 160.564 11.3176 40.9852 156.062 18.737 45.5605 150.164 24.1539 46.9596 143.512 28.5313 48.7731 136.143 30.9839 48.1273 125.112 34.1698 49.5294 116.289 34.2469 49.9179 107.113 32.426 48.6893 98.8206 27.8254 47.2243 91.628 22.178 38.4532 163.455 -6.88224 40.9503 162.742 1.42916 43.5171 160.123 9.45065 47.7967 155.173 17.3906 53.1913 129.392 30.4605 57.4434 120.187 30.353 57.7555 108.881 29.1971 56.501 100.349 24.8901 54.4406 93.4897 18.651 43.5401 162.322 -8.34137 45.9453 161.636 -0.335434 50.4154 158.124 9.95186 48.4521 160.589 -9.73451 50.7305 159.939 -2.15119 54.3182 157.614 6.23138 63.8033 119.565 25.3861 63.9101 110.06 24.7226 62.901 102.219 20.9027 60.7679 96.0876 14.7059 53.1171 158.28 -11.0416 55.2347 157.675 -3.99215 58.19 155.872 2.80748 67.2969 119.573 21.0355 67.7537 111.25 20.0049 67.3733 103.92 17.1459 65.043 98.1407 11.5222 57.4671 155.429 -12.245 59.394 154.879 -5.83163 62.1915 152.982 0.103493 69.6977 119.848 16.5973 70.8076 112.269 15.649 70.4413 106.039 12.8968 68.5447 100.725 8.19913 61.4382 152.077 -13.326 63.1457 151.59 -7.6422 65.78 149.427 -2.04368 72.9933 113.56 10.1899 72.6093 109.123 7.23009 71.4208 102.692 -5.93692 66.1158 146.314 -14.556 67.6306 145.656 -8.87371 68.937 144.641 -4.73136 71.1249 140.238 -3.87204 72.9303 135.432 -3.25369 73.955 129.872 0.956131 73.8222 124.051 6.88754 69.9913 140.169 -15.5436 71.876 138.749 -9.69077 -11.3759 117.634 8.77818 63.3644 132.244 19.7795 58.7861 144.777 19.4836 67.0122 129.764 16.8798 70.6155 138.855 5.83472 63.4756 148.383 9.49515 62.8195 133.184 17.464 65.3848 131.323 15.0306 58.8061 141.77 16.8434 60.1659 137.06 18.4575 67.3103 131.311 12.1873 59.8997 144.627 13.2097 68.6945 133.697 9.63008 62.6779 144.573 10.0134 68.5944 137.783 7.94185 66.1373 141.972 8.0323 63.5846 133.449 17.7798 66.1373 131.523 15.497 59.6002 142.393 17.3936 68.0977 131.472 12.4801 69.5345 133.885 9.64862 63.3399 145.241 10.1906 69.4233 138.273 7.76169 66.8358 142.631 7.99524 70.3049 128.194 12.73 72.5233 132.983 6.70811 70.8876 139.701 3.88477 57.3232 138.168 24.4749 62.3546 131.157 22.7541 67.3926 146.279 4.41341 62.6852 151.575 8.16354 58.5355 152.152 14.7897 56.0087 147.327 21.699 67.4163 128.203 18.5732 61.7689 138.738 16.9517 60.1192 142.066 15.9826 64.1066 135.62 16.4201 65.946 133.39 14.7222 67.2903 132.939 12.8657 68.2793 135.009 11.4955 67.7633 138.355 10.7993 65.6517 141.685 10.9157 62.861 143.967 11.7343 60.6115 144.197 13.6175 60.9733 137.35 18.8824 60.8999 145.33 13.6701 65.4233 132.097 14.9091 64.194 132.052 16.3667 63.0381 133.984 17.1452 60.5626 137.576 18.0038 59.2072 139.485 18.0623 59.179 141.815 16.5439 61.4122 134.887 18.1943 67.2154 132.019 12.4453 66.4087 131.047 13.613 59.0411 143.572 15.1678 60.1096 144.464 13.3409 68.5151 134.306 10.3248 68.0821 132.189 10.829 61.149 144.974 11.4258 62.7831 144.363 10.5976 68.2882 138.059 8.96576 68.9548 135.624 8.61655 64.3898 143.534 8.86493 66.015 141.892 9.0614 67.5801 139.948 7.72906 62.5229 143.343 13.2497 61.0674 143.946 13.8533 64.8184 141.126 13.1519 66.8854 138.187 12.9695 67.3889 133.651 13.1986 66.7994 134.635 14.1328 65.5909 137.242 14.9847 63.4504 140.109 15.2998 61.4471 142.587 14.915 69.5049 129.705 12.5735 72.1177 136.32 4.77299 71.5801 133.393 8.20432 59.2932 134.201 23.8217 59.9546 137.579 21.2023 65.0801 149.359 5.97188 67.3192 144.395 6.27661 56.9459 150.409 18.5398 60.5959 148.729 14.5628 56.1303 142.947 23.7928 65.2135 129.283 20.9902 68.9562 127.783 15.7988 69.2988 142.988 3.69571 60.547 152.61 11.1863 71.7477 130.025 9.56706 72.9533 131.626 4.33482 71.3592 125.34 12.6099 70.8958 140.288 0.80043 60.4142 128.485 25.3476 53.3566 137.368 28.099 60.1785 154.454 5.65604 66.8521 148.152 1.54631 50.4599 149.321 23.457 54.4777 155.19 14.0957 66.8083 125.61 19.6379 60.7657 140.445 16.6648 62.9418 137.1 16.8738 65.1157 134.361 15.6497 66.6044 132.832 13.8036 67.9094 133.728 12.0538 68.246 136.622 11.0736 66.8721 140.078 10.7355 64.2593 143.015 11.2634 61.6205 144.401 12.4393 60.0361 143.345 14.9402 62.2167 135.13 18.5205 60.0235 144.253 15.7061 59.9835 139.927 18.519 64.9258 132.28 16.7923 67.1776 131.236 14.0179 68.9044 132.335 10.9928 69.7696 135.952 8.50682 68.3794 140.573 7.55853 64.9874 144.212 8.9287 61.9957 145.611 11.7513 64.3364 132.866 16.125 59.6128 139.75 17.5893 61.7458 135.583 17.8214 66.3694 131.791 13.6738 59.3318 143.457 15.0788 67.9657 132.894 11.3154 61.3218 144.772 11.7684 68.6738 136.094 9.51442 64.4194 143.374 9.69681 67.3615 140.039 8.78485 61.7844 144.005 13.1407 63.6091 142.365 13.2305 65.9438 139.693 13.0347 67.4912 136.673 12.9257 66.9492 133.714 13.8169 66.3464 135.861 14.5969 64.5685 138.672 15.2167 62.3546 141.447 15.1878 60.8028 143.341 14.6881 70.7571 131.099 10.3129 71.4393 136.084 6.66586 61.5272 134.531 20.6551 65.2209 146.715 7.63861 59.5052 147.331 17.3142 58.8328 141.204 20.8056 65.3699 130.706 18.6303 68.3045 129.387 14.7556 69.1838 141.704 5.63008 61.9527 149.098 11.8158 72.6026 127.566 8.47568 72.3965 136.097 1.70497 56.5247 132.614 27.6949 63.6929 151.685 3.08774 52.022 153.009 18.9305 51.1249 144.226 26.8356 63.9865 126.508 22.5154 69.2202 125.238 16.535 69.0541 144.317 0.692924 57.2187 155.661 9.56113 67.741 135.282 12.8723 67.7907 134.283 12.7419 71.6609 136.111 -15.9358 72.3201 105.969 -15.2641 74.0417 117.157 -16.1597 75.2065 106.525 -16.2769 79.8634 107.308 -17.6552 91.3867 109.457 -21.1013 88.3001 106.164 -20.0804 79.2991 114.295 -17.6596 83.595 107.064 -18.7273 84.1132 113.461 -18.9875 85.3967 106.488 -19.2404 74.3568 135.883 -16.7173 78.9611 134.305 -18.0244 82.9529 133.126 -19.1618 84.9244 134.248 -19.7638 86.99 136.683 -20.4237 90.4947 139.433 -21.5114 93.7133 139.447 -22.4507 94.9967 133.968 -22.6969 95.4994 138.023 -22.9393 92.0955 130.536 -21.7701 88.3638 126.832 -20.5942 85.6599 124.96 -19.7608 81.4537 123.062 -18.4885 74.8654 115.813 -16.3999 75.0456 119.162 -16.437 77.3477 106.901 -16.9108 90.4702 107.067 -20.7351 76.8324 114.944 -16.9597 81.866 106.977 -18.232 81.8267 113.709 -18.3173 87.5994 113.172 -20.0641 72.8517 136.463 -16.4526 76.6211 135.168 -17.3616 81.0749 133.56 -18.6235 84.1259 133.478 -19.5125 85.7941 135.222 -20.0404 95.5972 136.005 -22.9201 93.7963 132.209 -22.3054 90.1255 128.604 -21.1495 87.0197 125.694 -20.1745 83.7714 124.169 -19.1907 77.8207 121.529 -17.3927 90.9181 111.196 -21.0087 72.5032 108.223 -2.09484 75.2258 128.38 -2.75545 73.0089 134.723 -11.6266 74.987 120.808 6.20024 75.9205 117.527 -9.42607 74.9633 116.553 -9.73895 78.1707 127.11 -4.45851 76.4373 109.876 3.38505 75.8359 108.157 -4.45555 81.7666 127.621 -5.91393 76.6804 114.045 7.19746 76.6345 120.205 6.07716 82.3917 119.936 3.28125 80.7256 108.785 -7.12913 83.5075 117.685 2.46864 82.9974 115.277 1.76725 92.4261 111.042 -14.8022 90.3783 110.634 -9.15768 95.4037 129.402 -7.5814 96.0984 136.789 -17.4832 82.3405 119.579 -9.26593 80.8413 115.369 -9.65369 85.2625 124.587 -1.81087 84.8272 129.21 -7.48057 85.7451 117.806 -3.52579 86.8232 121.414 -9.52765 85.9097 118.886 0.325172 87.199 131.776 -9.16064 88.7516 134.416 -11.1099 90.1003 121.341 -5.78863 94.2515 126.991 -9.62626 89.9564 123.624 -10.2795 92.7753 126.838 -11.8772 90.8128 122.536 -2.9371 84.8317 108.856 -9.63812 86.0135 114.746 -2.76731 86.5792 108.162 -11.0609 90.7371 125.097 -2.53673 73.043 106.875 -10.3143 75.0849 116.366 -9.04127 75.9716 116.037 -9.92357 74.6763 117.226 -13.3023 76.6107 127.495 -3.81347 75.8715 107.338 -10.9986 74.2945 131.787 -6.83849 77.6673 130.92 -7.97213 79.9509 127.383 -5.12654 76.4239 117.364 7.49699 79.6098 120.36 4.88643 79.5468 114.305 5.90663 78.3479 108.471 -5.80049 80.1169 108.117 -13.6233 81.3351 130.611 -9.06203 83.483 116.149 2.62879 83.0011 114.026 3.50368 91.761 108.672 -14.126 92.1266 109.889 -18.0081 93.8845 131.645 -7.45462 96.1799 134.037 -11.4887 81.9698 117.706 -6.57603 78.9833 118.659 -9.33636 78.2737 115.773 -9.7916 81.6235 116.026 -5.37269 79.8693 114.493 -14.8934 83.5372 128.01 -6.78511 83.5372 116.896 -3.09725 86.2686 119.313 -6.65833 84.7701 120.477 -9.37344 85.7155 117.814 -1.09836 82.8336 116.065 -0.2435 84.0376 118.31 1.24899 82.4806 122.05 -11.5955 87.1182 124.405 -12.0018 88.0999 133.229 -10.2009 92.2897 123.818 -7.20253 93.4241 126.82 -10.8934 91.5661 125.3 -11.0513 89.9394 122.25 -7.90022 90.4806 121.459 -4.05592 93.4426 125.358 -4.55564 95.0537 127.861 -8.4207 86.6067 133.598 -11.5288 88.5707 135.852 -12.9256 89.8207 126.465 -12.6372 92.9117 128.817 -13.9117 95.0404 130.344 -13.2941 82.9299 109.011 -8.36213 85.6702 113.376 -2.09262 83.9642 114.927 -0.734322 83.2265 115.122 -10.3417 85.751 115.129 -7.31301 84.1511 107.994 -14.6242 84.6693 113.83 -16.0203 88.6597 113.95 -5.64331 88.16 112.314 -5.20661 87.6284 114.616 -8.44739 91.1709 112.257 -10.1186 89.261 107.896 -12.7825 84.4929 131.425 -10.2884 88.4714 122.412 -9.79086 88.4424 120.148 -1.065 85.9995 121.323 0.560211 86.1099 130.434 -8.26055 87.8345 118.872 -4.42515 91.1968 133.419 -9.01013 88.8191 128.275 -4.56676 81.5976 122.873 0.828606 76.9644 122.205 2.94316 81.4612 110.902 -0.296883 85.7392 110.723 -3.63627 75.9894 134.176 -12.4407 80.1251 132.842 -13.5803 83.9442 132.485 -14.6398 85.946 134.022 -15.3694 88.0213 136.327 -16.4059 91.3103 138.582 -16.933 94.3976 138.399 -17.1755 95.3962 132.764 -17.8798 92.8436 130.018 -17.5358 89.2928 126.974 -16.3569 86.4413 124.91 -15.6051 82.4754 123.01 -14.5108 91.896 112.486 -14.9156 82.8751 115.658 -0.544518 86.2805 115.188 -4.50003 76.1644 116.572 -8.83145 75.4185 115.882 -13.8516 76.0488 119.438 -12.6624 75.6543 131.457 -7.41829 79.4986 117.656 6.72963 79.0322 110.008 1.65974 78.0128 107.635 -12.0211 79.5268 130.758 -8.47779 82.1877 117.111 4.66623 91.3177 107.267 -17.6789 94.3523 135.804 -11.3701 79.199 116.397 -7.74822 77.416 115.064 -14.3959 84.1318 118.571 -6.36101 83.3881 117.034 -0.32283 85.0712 123.225 -11.8706 91.807 124.332 -9.03386 92.9703 124.047 -5.59067 87.5542 134.782 -12.3095 91.394 127.808 -13.2948 94.0891 129.464 -13.8324 83.6906 111.07 -2.07482 83.6929 113.909 0.096817 83.6402 115.586 -6.22978 82.2292 108.145 -14.0185 82.2626 114.108 -15.3812 85.9475 107.439 -15.3597 88.2578 113.456 -17.1125 88.2163 114.084 -11.2463 88.9763 106.666 -16.7455 83.1168 130.614 -9.81607 88.5233 125.332 -12.2287 88.5596 122.718 -0.990116 88.1236 120.568 -7.14322 91.5424 136.545 -12.2591 90.1959 130.708 -6.46555 83.1835 123.375 -0.566017 79.5957 122.783 1.99635 74.3672 117.295 7.88031 87.5631 110.072 -6.37584 74.1744 134.769 -11.9588 77.8467 133.564 -12.9456 82.0565 132.388 -14.1586 85.1416 133.114 -14.9897 86.8728 135.108 -15.8513 96.088 134.721 -17.6366 94.3716 131.254 -17.9443 90.9752 128.478 -16.8885 87.8886 125.817 -15.9581 84.6456 124.017 -15.1551 78.798 121.528 -13.6567 91.6357 111.58 -17.9377 84.2971 115.519 -2.50114 83.7426 120.625 1.77541 88.5833 114.451 -6.97195 88.0828 118.976 -2.26166 92.4098 128.085 -4.46593 90.9233 113.198 -10.8133 95.8359 131.912 -12.44 88.8584 109.104 -9.27186 75.6269 121.857 3.65715 78.5266 120.452 -11.3783 85.7325 132.479 -10.7807 87.2109 126.227 -3.03349 82.3865 115.792 -3.39975 85.5323 114.683 -10.7629 88.5351 113.906 -14.361 85.1809 114.135 -13.5766 82.7372 114.618 -13.0324 80.3171 114.815 -12.4815 77.8096 115.265 -12.0804 75.7054 115.895 -11.7089 74.7512 116.96 -11.2522 75.744 118.732 -10.8711 69.843 141.836 -9.30819 67.9679 143.189 -15.0231 72.8213 119.941 10.9157 71.6506 104.986 0.684029 69.456 100.727 -14.47 73.995 114.29 6.9995 73.1142 110.85 3.56299 72.9748 136.288 -10.6843 71.3295 137.732 -15.8765 71.3963 104.177 -15.1099 74.1581 133.103 -5.27631 75.2109 128.825 -1.40012 75.073 122.123 6.21136 74.2901 118.616 8.83824 74.0083 114.133 7.99301 73.4597 110.347 4.91832 72.8198 106.93 -0.967873 82.4554 113.29 2.18171 79.572 111.521 3.2642 80.1607 112.304 4.14649 -10.1429 113.254 10.7089 72.7842 105.382 -7.25814 -5.83078 104.99 14.0223 -2.85619 101.143 15.3198 0.690811 97.9167 16.3207 4.67302 94.8688 16.9057 66.3361 95.2358 0.153168 -11.892 122.645 7.67271 -12.1529 122.274 6.67995 -12.3643 121.685 5.78059 -12.534 120.909 5.0184 -12.626 119.978 4.42898 -12.646 118.938 4.04047 -12.5956 117.84 3.87142 -12.4777 116.734 3.92851 -12.2953 115.674 4.20803 -12.0595 114.707 4.70033 -11.7659 113.862 5.43361 -11.6777 127.672 6.3856 -12.1989 126.934 4.40896 -12.6304 125.765 2.6199 -12.9514 124.219 1.10294 -13.1465 122.369 -0.071487 -13.2072 120.301 -0.848503 -13.1242 118.113 -1.18808 -12.8996 115.91 -1.07389 -12.5437 113.798 -0.511894 -12.0803 111.876 0.468269 -11.5131 110.201 1.90664 -10.7279 108.684 4.35558 -10.8109 132.596 4.94501 -11.5843 131.502 2.01563 -12.2226 129.769 -0.634972 -12.6979 127.479 -2.88298 -12.987 124.738 -4.62311 -13.0768 121.674 -5.77454 -12.9633 118.431 -6.28242 -12.6504 115.16 -6.12376 -12.1492 112.018 -5.30077 -11.4627 109.168 -3.83942 -10.636 106.694 -1.7434 -9.32736 137.352 3.37615 -10.3401 135.919 -0.462959 -11.1772 133.648 -3.93729 -11.8 130.646 -6.88298 -12.1796 127.054 -9.1636 -12.2968 123.039 -10.6717 -12.1477 118.789 -11.3375 -11.7385 114.502 -11.1299 -11.0883 110.379 -10.0578 -10.1881 106.649 -8.12857 -9.11383 103.415 -5.39493 -7.24765 141.871 1.70126 -8.48584 140.119 -2.99197 -9.509 137.344 -7.23812 -10.2704 133.674 -10.8392 -10.7339 129.283 -13.627 -10.8777 124.375 -15.4702 -10.6953 119.179 -16.2843 -10.1948 113.94 -16.03 -9.38 108.916 -14.6924 -8.24042 104.41 -12.2576 -6.81169 100.55 -8.6587 -4.60298 146.087 -0.054435 -6.04802 144.042 -5.53284 -7.24321 140.802 -10.4893 -8.13144 136.519 -14.6932 -8.67267 131.393 -17.9473 -8.84024 125.664 -20.0997 -8.62744 119.599 -21.0494 -8.04318 113.482 -20.7529 -7.08603 107.625 -19.1759 -5.77963 102.353 -16.3577 -4.12698 97.8226 -12.2769 -1.43115 149.939 -1.86574 -3.0623 147.631 -8.04924 -4.41095 143.974 -13.6441 -5.41411 139.139 -18.3892 -6.02504 133.353 -22.0622 -6.21411 126.886 -24.4919 -5.97388 120.04 -25.564 -5.31401 113.136 -25.2289 -4.25377 106.509 -23.4776 -2.81467 100.514 -20.3577 -0.857285 95.3878 -15.9247 2.22112 153.371 -3.70596 0.427597 150.832 -10.5049 -1.05525 146.812 -16.6565 -2.15849 141.496 -21.8739 -2.82948 135.134 -25.9124 -3.03783 128.024 -28.5838 -2.77313 120.497 -29.7627 -2.04877 112.906 -29.3942 -0.897324 105.606 -27.4954 0.658188 98.9955 -24.1115 2.66969 93.7269 -19.7623 6.30045 156.332 -5.54841 4.37052 153.602 -12.8633 2.77497 149.275 -19.4821 1.58868 143.556 -25.0954 0.866531 136.711 -29.4409 0.642624 129.061 -32.3147 0.926575 120.963 -33.5833 1.70657 112.796 -33.1866 2.9455 104.941 -31.144 4.64336 97.9398 -27.491 6.69341 92.8958 -23.465 10.7483 158.78 -7.36639 8.71009 155.896 -15.0906 7.02557 151.328 -22.08 5.77182 145.289 -28.0077 5.00963 138.061 -32.5957 4.77312 129.983 -35.6311 5.07339 121.431 -36.9701 5.89712 112.807 -36.5512 7.20499 104.513 -34.3944 9.05486 97.2925 -30.556 11.2406 92.5807 -26.9734 15.4979 160.678 -9.13321 13.3818 157.684 -17.1547 11.6321 152.94 -24.4125 10.3309 146.669 -30.5671 9.53901 139.163 -35.3323 9.29359 130.775 -38.4834 9.60574 121.895 -39.8743 10.4606 112.939 -39.4398 11.8189 104.326 -37.2 14.0588 96.9514 -33.3467 16.6434 92.4725 -29.9718 23.0545 162.362 -11.6177 20.8829 159.289 -19.8483 19.0871 154.421 -27.2967 17.7525 147.986 -33.6129 16.9392 140.284 -38.5019 16.6871 131.675 -41.736 17.0074 122.563 -43.1632 17.8853 113.373 -42.7169 19.2791 104.535 -40.4185 21.2106 97.0107 -36.2628 23.42 92.7149 -32.4103 30.8573 162.843 -13.8754 28.6938 159.781 -22.0763 26.9055 154.931 -29.4973 27.9242 148.749 -36.2635 26.8335 141.896 -40.4148 27.1308 134.403 -43.1558 24.8332 123.19 -45.306 25.7073 114.033 -44.8611 27.096 105.227 -42.5709 28.977 97.7766 -38.3173 31.01 93.1798 -33.7501 36.0984 162.352 -15.1936 33.9816 159.358 -23.2144 33.3826 154.015 -31.9877 31.2043 127.797 -45.1888 41.2721 161.261 -16.3458 39.5527 157.252 -27.2589 34.1114 118.081 -46.7154 35.274 106.958 -44.7195 36.8836 99.3018 -39.4702 38.9366 94.263 -33.7738 46.3034 159.583 -17.3163 44.8502 156.854 -26.2038 42.5748 117.521 -46.6924 42.9789 108.591 -45.2964 44.501 100.951 -40.6187 47.291 94.8665 -33.4268 51.1197 157.345 -18.0904 49.9772 155.213 -25.3275 48.2059 117.708 -45.7612 48.7168 109.961 -44.0908 50.3568 102.509 -40.027 53.4827 96.7468 -32.9174 55.6498 154.578 -18.6568 54.8409 152.392 -25.0769 52.7864 118.209 -43.2581 53.6228 111.351 -41.2941 55.2413 104.656 -38.0407 58.7364 99.47 -31.8202 59.8286 151.323 -19.0083 59.0656 148.888 -25.0487 58.6371 112.647 -37.2162 60.0213 108.358 -34.3455 66.7364 101.215 -23.2055 64.3461 145.393 -20.1264 63.2939 144.171 -24.2324 64.6093 139.563 -25.8976 66.0209 134.24 -27.224 64.8265 128.137 -31.0498 61.4092 121.344 -36.0211 68.4454 138.292 -21.5291 45.453 130.809 -41.5454 41.6524 143.401 -39.21 50.101 128.433 -40.9145 59.0129 137.957 -33.7931 50.9314 147.376 -33.4765 46.2433 131.854 -39.2708 49.7303 130.061 -38.4737 43.1271 140.511 -36.8678 43.4601 135.718 -38.774 52.9147 130.138 -37.0872 45.9668 143.509 -34.5197 55.443 132.636 -35.7653 50.0284 143.557 -33.3201 56.2208 136.784 -34.4582 54.0432 141.001 -33.4001 46.726 132.091 -39.9847 50.1181 130.245 -39.3182 43.4927 141.099 -37.7857 53.4219 130.291 -37.7879 56.1362 132.807 -36.2509 50.4828 144.208 -33.8546 57.0422 137.29 -34.817 54.643 141.653 -33.7723 55.0842 126.961 -39.0439 60.0643 131.807 -35.2485 60.3282 138.873 -32.42 37.8104 136.599 -42.3736 42.95 129.62 -43.6504 57.0126 145.449 -31.2322 50.941 150.632 -32.0693 43.8723 150.975 -35.442 38.0876 145.889 -39.6926 49.5108 126.802 -42.685 45.605 137.439 -38.4211 44.6923 140.828 -36.8618 47.893 134.316 -39.1277 50.3776 132.134 -38.6198 52.5225 131.75 -37.7278 54.0743 133.869 -37.1666 53.9713 137.248 -36.4482 52.0865 140.596 -35.554 49.2647 142.875 -34.8407 46.3531 143.052 -35.2278 43.9086 135.978 -39.5785 46.5533 144.179 -35.4761 49.8356 130.846 -38.4441 47.9983 130.76 -39.0142 46.6052 132.656 -39.1566 44.0339 136.249 -38.6168 42.8387 138.17 -38.0111 43.6017 140.564 -36.8188 44.6634 133.535 -39.1929 52.6931 130.851 -37.3023 51.3763 129.845 -37.8198 44.2029 142.382 -35.6615 46.0758 143.337 -34.7362 54.9106 133.214 -36.2776 54.299 131.078 -36.3859 47.9753 143.917 -33.7041 49.8059 143.321 -33.8591 55.4037 137.025 -35.1736 56.1837 134.599 -35.1328 52.1021 142.547 -33.2281 53.387 140.878 -34.1972 55.4482 138.973 -33.8331 48.1733 142.19 -35.9091 46.6141 142.785 -35.6607 50.1892 139.952 -36.9649 52.0658 136.997 -37.7961 52.4194 132.447 -38.0845 51.4089 133.398 -38.5931 49.903 135.983 -38.7555 47.893 138.861 -37.994 46.3798 141.377 -36.6995 54.5637 128.486 -38.5583 60.8235 135.305 -33.5811 58.5718 132.382 -36.0552 39.8159 132.627 -42.8845 41.7955 136.119 -41.0087 54.1663 148.483 -31.4153 55.9539 143.477 -32.6654 40.5373 149.092 -37.6693 45.7748 147.539 -36.2109 37.1201 141.421 -41.3319 46.3145 127.804 -43.6823 52.3171 126.477 -40.9857 59.1168 142.133 -31.5495 47.4993 151.562 -33.5084 58.2159 128.907 -37.3334 61.9319 130.28 -33.5996 55.9843 124.214 -39.8068 61.9357 139.512 -29.8517 40.0547 127.159 -44.8752 32.5262 135.693 -43.2641 50.1396 153.648 -28.7343 58.0699 147.457 -28.6001 32.4395 147.874 -38.275 40.7865 154.09 -32.8062 48.5485 123.891 -44.2502 44.8917 139.171 -37.7145 46.6541 135.791 -38.9245 49.1683 133.076 -38.9875 51.4356 131.609 -38.169 53.4767 132.569 -37.389 54.253 135.498 -36.8633 53.2321 138.983 -35.9892 50.709 141.926 -35.1558 47.8345 143.294 -34.7866 45.1675 142.152 -35.9951 45.1713 133.754 -39.9113 44.7331 143.025 -36.6728 43.2421 138.583 -38.8326 48.3979 130.967 -39.812 51.8085 130.009 -38.6079 54.898 131.214 -36.9842 56.9414 134.926 -35.5317 56.2052 139.595 -34.146 52.5633 143.214 -33.6329 48.5055 144.528 -34.4611 48.2504 131.567 -38.9341 43.4311 138.451 -37.8428 45.1446 134.246 -39.058 51.3088 130.573 -37.8872 44.498 142.267 -35.7379 53.9312 131.767 -36.7632 47.939 143.698 -34.0771 55.4586 135.033 -35.7586 51.6817 142.351 -33.9384 54.6942 139.021 -34.6087 47.6009 142.867 -35.4487 49.1112 141.201 -36.4341 51.2183 138.511 -37.4098 52.6196 135.479 -38.0192 51.7129 132.488 -38.381 50.7646 134.609 -38.7822 48.8984 137.414 -38.4633 47.013 140.215 -37.3683 45.949 142.148 -36.1946 56.8747 130.003 -37.3653 59.271 135.122 -34.8148 43.4222 133.063 -41.3875 53.4219 145.768 -32.7803 43.3933 146.037 -37.8806 41.0259 139.775 -40.1938 47.7811 129.312 -41.5937 52.3542 128.12 -39.7631 57.9468 140.752 -33.0391 48.3905 148.009 -34.6435 59.466 126.101 -36.8574 62.769 134.918 -31.1499 35.337 130.917 -44.7544 54.5184 150.949 -28.3414 36.1436 151.734 -35.4628 31.2473 142.63 -41.2578 44.4825 124.75 -45.068 52.223 123.767 -42.08 60.3461 143.735 -29.0309 45.5294 154.723 -30.4826 52.8762 134.088 -38.0496 52.9993 133.095 -37.9288 65.4323 107.528 -26.9171 67.9487 126.833 -28.5074 70.5081 134.319 -20.2732 62.6749 119.616 -35.7438 72.6589 117.278 -23.098 72.2444 116.442 -22.3254 71.3889 125.795 -28.3703 65.5901 109.029 -33.5959 69.3603 107.637 -26.6398 75.0515 126.757 -29.2103 63.5342 113.12 -36.9642 64.2148 119.206 -36.4696 70.5985 118.958 -37.1681 74.9121 108.319 -27.0453 71.9998 116.742 -36.9872 71.9612 114.391 -36.0381 88.8094 110.578 -26.9527 84.1169 110.131 -30.6072 87.2695 128.749 -35.4465 93.0867 136.547 -27.8016 77.576 118.913 -26.6205 76.2215 114.981 -25.3972 75.678 123.817 -34.645 78.3012 128.686 -29.8368 77.0845 117.097 -33.174 81.2906 120.822 -28.8656 75.1464 118.021 -36.546 81.172 131.293 -29.8079 83.4949 133.994 -29.1154 81.9364 120.685 -33.7567 87.4282 126.444 -33.002 84.2007 123.162 -29.9962 87.3956 126.405 -30.3062 80.9881 121.747 -36.5927 79.7217 108.446 -27.144 76.8458 113.737 -33.7746 81.9683 107.792 -26.8548 80.6767 124.289 -36.9998 70.1714 106.645 -20.1493 72.022 116.241 -22.9037 72.8888 115.884 -22.6383 73.3892 117.141 -19.0068 69.7533 125.895 -28.1175 72.9185 107.101 -21.1147 69.1965 130.484 -24.8144 72.6997 129.897 -25.4795 73.1742 126.294 -28.81 63.1531 116.358 -37.3542 67.3688 119.359 -37.0517 66.7935 113.286 -37.5877 72.197 107.977 -26.8719 77.8994 107.939 -21.2215 76.3201 129.88 -26.4826 71.9026 115.225 -37.0598 71.0463 113.066 -37.4483 87.9791 108.369 -27.0824 90.3568 109.787 -24.1197 85.8919 131.003 -34.834 89.9668 133.538 -32.7744 75.3807 117.261 -28.6335 74.2589 118.273 -24.8974 74.5081 115.555 -23.9173 74.7186 115.201 -29.2771 78.273 114.414 -20.2702 76.9377 127.337 -29.5447 74.9877 116.19 -32.3036 79.228 118.61 -30.8741 79.7455 119.59 -27.752 75.7618 117.015 -35.1966 72.8947 115.268 -34.2906 73.0867 117.445 -36.2917 78.8617 122.15 -25.111 82.7305 124.079 -27.0743 82.4725 132.777 -29.4795 84.5114 123.193 -33.8509 87.4141 126.338 -31.4821 85.952 124.849 -30.2847 82.9247 121.687 -31.9314 81.3232 120.724 -35.4257 84.0399 124.603 -36.7655 87.4445 127.25 -34.4856 81.9223 133.222 -27.574 84.3016 135.509 -27.551 85.3181 126.104 -28.0604 88.5803 128.469 -28.7521 90.0231 129.941 -30.4819 77.43 108.57 -27.2025 76.3149 112.625 -34.143 74.121 114.113 -34.4307 78.5236 114.752 -26.0741 79.2235 114.861 -29.7308 81.84 107.809 -22.5419 82.8432 113.477 -21.7471 80.6945 113.198 -32.7484 80.1006 111.667 -32.8137 81.4167 114.445 -29.7768 85.2891 111.653 -30.1957 85.1586 107.567 -26.8363 79.5016 131.024 -27.3879 82.7149 121.901 -29.5647 78.0128 119.311 -36.7914 75.0649 120.445 -36.8974 79.7863 129.926 -29.9221 79.3229 118.187 -33.5803 84.4402 132.877 -32.1553 80.111 127.576 -34.3959 71.2569 121.989 -34.7844 66.2834 120.958 -33.9154 71.8315 110.129 -33.2852 77.2358 110.04 -32.7655 73.4782 133.884 -21.131 77.6228 132.464 -22.2276 81.3655 132.277 -23.4746 83.426 133.82 -24.0033 85.7036 136.141 -24.3458 88.7308 138.375 -25.7679 91.4667 138.163 -27.2159 92.7583 132.552 -26.9171 90.4562 129.827 -25.7152 86.8669 126.78 -24.6669 84.0844 124.721 -23.6771 80.1888 122.834 -22.3988 88.4224 111.98 -26.642 73.0971 114.872 -34.0422 78.0365 114.257 -32.4652 72.6559 116.366 -23.6348 74.0565 115.738 -18.8756 74.3546 119.371 -20.3332 70.6786 130.252 -24.9797 66.3234 116.559 -38.424 68.7427 109.182 -33.5877 75.2695 107.415 -21.4172 74.5162 129.923 -26.0103 69.7229 116.044 -38.0771 89.5331 107.124 -23.792 88.3401 135.32 -31.9677 74.1388 115.95 -26.0645 75.9612 114.948 -19.4391 77.1416 118.114 -30.0044 73.3922 116.231 -34.5642 80.9955 123.121 -26.1556 85.0815 123.793 -32.0715 84.2148 123.344 -35.5836 83.1264 134.427 -27.4776 86.9811 127.454 -28.4118 89.522 129.098 -29.4795 74.6652 110.346 -32.9938 73.4634 113.087 -34.946 76.8228 114.888 -29.5521 79.8915 107.956 -22.0252 80.6122 114.073 -21.0487 83.7573 107.262 -22.8645 86.4999 113.195 -22.8837 83.3651 113.698 -27.6845 87.0649 106.513 -23.293 78.1729 130.027 -26.8719 84.0191 124.97 -27.6585 78.0395 121.874 -37.0279 80.9955 119.953 -31.531 86.4391 136.135 -29.7404 82.2626 130.071 -33.6418 73.3188 122.63 -34.5204 68.9993 121.598 -34.5597 61.1201 116.288 -36.4563 80.2549 109.485 -31.4116 71.6743 134.356 -20.764 75.3384 133.298 -21.6337 79.5527 132.054 -22.774 82.5547 132.906 -23.8513 84.4528 134.914 -24.1434 93.1861 134.488 -27.5777 91.9487 131.059 -26.2461 88.5515 128.283 -25.1888 85.4827 125.624 -24.1983 82.3397 123.833 -23.052 76.6708 121.456 -21.1288 89.869 111.457 -23.9848 75.2791 114.471 -33.131 72.5418 119.712 -36.6595 81.3907 113.876 -31.5584 78.3679 118.196 -35.5399 83.0864 127.336 -36.4037 85.4308 112.541 -29.518 90.2145 131.46 -31.6971 82.9166 108.627 -29.6277 64.7835 120.521 -33.7531 75.2428 120.861 -23.2937 80.7976 132.083 -27.6852 77.9572 125.484 -34.7339 74.1796 115.013 -31.4161 80.9021 114.638 -26.7177 85.1483 113.312 -25.263 82.0676 114.019 -24.0982 79.6802 114.358 -23.3746 77.3173 114.669 -22.6413 75.2124 115.161 -21.7041 73.588 115.837 -21.0027 72.7523 116.861 -20.956 73.4137 118.581 -21.8902 66.4762 141.604 -20.8641 58.3546 118.743 -38.2809 63.6573 103.164 -29.6181 61.2017 113.464 -35.2759 62.603 110.079 -31.8602 69.9438 135.891 -21.1621 68.2393 131.67 -26.2038 67.4378 127.136 -29.5202 62.8091 120.687 -35.9907 60.5767 117.653 -37.3935 60.7761 113.247 -36.1998 62.0921 109.556 -33.1525 65.2417 105.935 -28.1842 71.3073 112.394 -36.0092 68.3164 110.617 -35.2945 68.3445 111.331 -36.3747 -11.3552 113.133 6.63324 68.4684 104.805 -22.5375 -9.45044 104.401 1.95409 -7.56053 100.492 -0.627556 -5.0686 97.2087 -3.46945 -1.8849 93.9531 -6.38548 56.808 93.3547 -23.3279 61.9223 96.6682 -23.3508 59.4081 140.566 19.6623 60.4639 137.464 20.042 61.8763 134.831 19.5882 63.4845 132.857 18.7674 59.1931 143.585 18.4382 65.1653 131.503 17.6961 59.7648 145.792 16.5098 66.574 130.654 16.1776 60.7479 147.03 14.1165 67.7426 130.322 14.3856 61.9742 147.354 11.7839 68.7983 130.581 12.5261 63.4081 146.812 9.84286 69.823 131.736 10.6896 65.1046 145.464 8.28365 70.6207 133.636 8.99838 67.079 143.51 7.13741 70.6489 135.976 7.7083 68.7916 141.109 6.6273 70.0306 138.529 6.87865 46.0899 131.451 -40.7647 44.2964 133.408 -40.6498 42.8521 136.048 -40.2939 42.1344 139.179 -39.5132 48.0895 130.139 -40.7032 42.5725 142.25 -38.4974 50.1107 129.339 -40.116 44.0636 144.531 -37.2763 52.0814 129.065 -39.1855 46.164 145.859 -35.8431 53.992 129.384 -38.172 48.4484 146.268 -34.5523 55.8478 130.62 -37.1918 50.7075 145.792 -33.6656 57.2832 132.639 -36.2405 52.9926 144.492 -33.2066 58.0113 135.002 -35.2811 55.2984 142.565 -33.2185 57.9772 137.569 -34.3714 57.0771 140.172 -33.5929 1.38182 68.9774 -45.9569 1.47894 65.0285 -50.2728 1.09637 63.909 -52.87 4.59888 9.97681 -40.0908 4.56625 11.4122 -44.5415 4.27933 14.0176 -48.351 3.6239 17.5846 -51.2515 2.5518 21.6054 -53.3934 2.81797 25.9316 -56.0077 3.01964 28.3271 -57.5284 3.3214 31.8267 -58.9081 3.45486 35.6754 -59.9047 3.14198 39.6169 -60.4303 2.63558 43.6332 -60.5215 2.15143 47.625 -60.2798 1.8074 51.4352 -59.6459 1.64281 54.9177 -58.6553 1.54494 58.1214 -57.1999 1.24614 61.2169 -55.2299 2.20258 72.8765 -41.2252 4.0999 75.8378 -37.4454 6.18702 78.5203 -33.435 56.4936 87.4619 -10.08 57.7629 85.6098 -10.3506 59.9983 84.0135 -10.7406 63.4852 82.0057 -11.5406 67.5801 79.1089 -12.265 -10.1652 108.262 6.21582 -11.0734 112.965 7.57632 -0.481384 91.8178 -0.502998 -8.62003 103.705 4.73889 -6.45135 99.499 2.95057 -3.73181 95.6969 0.985786 -60.1092 28.2359 7.92776 -8.84988 108.395 10.4182 -10.438 113.006 9.67531 2.73864 92.5778 10.975 -6.7205 103.892 10.9765 -4.01207 99.6658 11.3213 -0.806137 95.8341 11.3643 64.3527 94.8043 -12.5052 60.0369 91.4033 -11.0824 -11.539 10.151 19.9241 -5.49863 10.1436 21.8177 -15.9268 10.1577 16.38 -19.33 10.1651 11.6357 -22.5381 10.1681 4.40154 32.719 10.1303 18.5309 40.266 10.1244 13.6679 14.2263 10.1377 23.0462 22.7994 10.1333 21.7028 2.70157 10.137 23.1159 44.4157 10.1281 7.56966 6.82094 10.137 23.6438 46.5807 10.1555 0.804138 -22.7316 10.1651 -8.79883 46.5392 10.1481 -8.35619 -6.5737 10.1422 -30.0845 -12.5993 10.151 -28.2717 -18.4966 10.1644 -25.6115 -21.6988 10.1659 -20.5282 -21.6462 10.1607 -14.2928 40.6619 10.1362 -21.951 32.9614 10.1496 -27.1618 22.9625 10.1599 -31.832 13.8408 10.1637 -33.647 2.11658 10.1488 -32.443 44.7679 10.1347 -15.5147 6.04318 10.1488 -32.526 12.5907 10.1733 -3.80531 59.1887 91.8044 8.95242 -37.1383 88.9529 -2.97714 -31.8022 10.0858 -1.97102 -25.1531 10.1622 -2.2068 -48.967 94.3801 -3.43312 -42.7435 92.7505 -3.24479 -45.2458 14.541 -1.9814 -38.8006 11.688 -1.94433 -51.5643 18.2037 -2.1067 -56.8395 22.9229 -2.04294 -61.3273 28.167 -2.00068 -64.683 34.1592 -1.92802 -67.7244 42.676 -1.88947 -69.2985 52.0358 -1.98363 -69.0782 59.0674 -1.98585 -68.0128 66.587 -1.96361 -66.3149 75.4782 -2.11857 -61.6254 86.6775 -2.9586 -55.4464 92.4777 -3.38715 -32.8632 83.5116 -1.95249 -29.1664 80.3716 -1.67964 -25.0219 78.6923 -1.82199 -19.731 77.9019 -1.94433 -13.8211 78.3245 -1.89985 0.599609 81.0967 -1.11393 5.68803 83.0274 -0.72765 6.50954 84.4391 -0.967133 5.72511 86.2104 -0.331726 3.73808 88.5303 1.10886 0.442429 91.5093 2.82008 -2.82133 95.1602 4.04714 -5.66766 99.1208 5.2742 -8.03503 103.465 6.34038 -9.79816 108.128 7.22415 -10.9333 112.931 8.02786 -26.7479 60.7542 43.6698 -20.1774 63.8423 42.5992 -8.42801 27.4619 48.2347 14.9477 25.7121 48.3904 3.09452 25.896 48.4757 42.6645 36.5214 48.0598 47.7344 49.638 47.1827 40.5551 62.2549 45.2372 -20.4769 63.1994 -50.3046 -27.628 60.1306 -51.1217 -8.33606 28.1588 -55.7549 41.6947 37.0493 -55.6696 46.1069 49.7648 -54.9594 39.661 61.5616 -52.9449 -28.2701 61.5994 42.6785 -21.096 64.5792 41.7131 -10.6093 65.5757 41.2676 1.58052 66.8139 41.2357 -20.6037 30.6107 47.064 -27.9498 36.4747 46.6355 -32.0076 43.3195 45.7562 -33.3289 50.1288 44.8568 -9.84192 26.1273 47.153 -32.1367 56.4888 43.8329 40.1118 30.266 46.5139 29.9349 25.9004 46.5236 16.4046 23.9305 47.0581 3.12344 24.0639 47.2805 46.8217 35.817 46.5762 50.7757 42.2756 46.3478 52.0569 49.3051 45.7651 50.1277 56.399 44.7582 45.0638 62.5551 43.5645 13.7088 68.7742 41.1082 26.4851 69.2584 41.2994 37.1171 66.9377 42.3456 1.53827 66.2289 -48.7276 -11.1349 65.489 -48.6957 -21.7418 64.0098 -49.2903 -29.2399 60.7943 -50.2557 -33.7448 49.2984 -52.3954 -32.2894 43.1438 -53.1362 -27.8334 36.8602 -53.862 -20.3917 31.2343 -54.2831 -10.0503 26.5855 -54.5085 -32.8298 55.3737 -51.4331 2.729 24.1781 -54.8289 15.8893 23.9164 -54.731 29.5034 26.0458 -54.0829 39.6795 30.5618 -53.8806 46.253 36.21 -53.7901 50.0128 42.5536 -53.5439 51.139 49.2547 -52.9597 49.321 55.8341 -52.0848 44.6241 61.6202 -51.0127 37.1431 65.7944 -49.8316 26.732 68.0261 -48.7847 13.6339 67.8667 -48.6371</float_array> + <technique_common> + <accessor count="2108" offset="0" source="#LOD3spShape-lib-positions-array" stride="3"> + <param name="X" type="float"/> + <param name="Y" type="float"/> + <param name="Z" type="float"/> + </accessor> + </technique_common> + </source> + <source id="LOD3spShape-lib-normals" name="normal"> + <float_array id="LOD3spShape-lib-normals-array" count="6870">-0.192109 -0.934569 0.299458 -0.06315 -0.993623 0.093407 -0.038767 -0.993005 0.111528 -0.11695 -0.921313 0.370816 -0.085264 -0.993927 0.06957 -0.25821 -0.942076 0.214058 -0.305238 -0.944237 0.123473 -0.103012 -0.993873 0.04007 -0.109849 -0.993698 0.02232 -0.319871 -0.945464 0.061492 0.322015 -0.653105 0.68539 0.238016 -0.809438 0.536805 0.39559 -0.829362 0.394547 0.547107 -0.665777 0.50736 0.149283 -0.925897 0.34703 0.227375 -0.943129 0.242504 -0.182106 -0.7902 0.585167 -0.310544 -0.820667 0.479654 -0.418246 -0.841388 0.342252 -0.407245 -0.671943 0.618582 -0.544891 -0.711903 0.443045 -0.234371 -0.618101 0.750347 -0.474249 -0.857348 0.200104 -0.472515 -0.875412 0.101901 -0.601129 -0.750567 0.274396 -0.593419 -0.791427 0.146617 0.282256 -0.953514 0.105559 0.497204 -0.845385 0.195227 0.680184 -0.678639 0.277127 0.475425 -0.378716 0.794069 0.394699 -0.508097 0.765539 0.651796 -0.507567 0.563506 0.728714 -0.35445 0.585953 -0.280085 -0.456993 0.844222 -0.472084 -0.52749 0.706322 -0.629949 -0.5896 0.505505 -0.525528 -0.402813 0.749375 -0.688269 -0.483465 0.540877 -0.345696 -0.333643 0.877027 0.797494 -0.502759 0.333521 0.868857 -0.332163 0.36709 0.779236 -0.208323 0.591094 0.556733 -0.232343 0.797537 0.611419 -0.086952 0.786515 0.805975 -0.07802 0.586786 0.901017 -0.198547 0.385677 0.912954 -0.073233 0.401437 0.587309 0.31693 0.74473 0.626298 0.112282 0.771455 0.807598 0.10215 0.580819 0.767563 0.296279 0.568389 0.905959 0.097128 0.412074 0.868972 0.273148 0.412646 0.369046 0.664292 0.650016 0.498279 0.502362 0.706648 0.692864 0.459155 0.555982 0.584348 0.597963 0.548615 0.813067 0.415121 0.408163 0.751114 0.515121 0.41289 0.19627 0.766932 0.610977 0.270011 0.7156 0.644213 0.477417 0.672112 0.565984 0.38089 0.730939 0.56626 0.665617 0.613839 0.424448 0.5601 0.712938 0.42191 -0.142237 0.892596 0.427833 -0.115435 0.801937 0.586149 -0.145778 0.823148 0.548795 -0.183731 0.901347 0.392196 -0.170598 0.892172 0.418242 -0.198923 0.94046 0.275618 -0.083913 0.784617 0.614276 -0.104776 0.836925 0.537195 -0.07128 0.762805 0.642687 -0.083732 0.95816 0.273711 -0.152017 0.963903 0.218593 -0.043758 0.995476 0.084341 0.11433 0.983142 0.142691 -0.188565 0.971095 0.146345 -0.153667 0.986837 0.050398 -0.277878 0.955105 0.102752 -0.278528 0.959779 0.035299 -0.266228 0.943946 0.195163 -0.494465 0.642119 0.585822 -0.123678 0.744163 0.656449 -0.094312 0.919596 0.381378 -0.521981 0.776809 0.352284 0.287464 0.72515 0.625717 0.35104 0.866307 0.355363 -0.085399 0.659129 0.747166 0.224013 0.689809 0.688464 -0.41145 0.564912 0.715251 -0.896437 0.304297 0.322186 -0.755967 0.475931 0.449448 -0.804069 0.52634 0.276477 -0.929837 0.307416 0.202235 -0.651421 0.428251 0.626301 -0.812838 0.261118 0.520685 -0.700828 0.14352 0.698743 -0.528973 0.340042 0.777534 -0.323564 0.505566 0.799819 -0.384671 0.217738 0.897005 -0.26768 0.410295 0.871783 -0.51729 -0.021456 0.855541 -0.703157 -0.1848 0.686599 -0.802326 -0.033833 0.595927 -0.877917 -0.14451 0.456484 -0.806047 -0.267053 0.528176 -0.89323 0.116397 0.434273 -0.92976 -0.00252 0.368157 -0.693473 -0.636086 0.338364 -0.705373 -0.68381 0.186692 -0.75587 -0.532488 0.380943 -0.796546 -0.566484 0.211211 -0.077417 -0.240522 0.967551 -0.089798 -0.134723 0.986806 -0.168487 -0.121841 0.978145 -0.138523 -0.221426 0.965289 -0.113525 -0.038943 0.992772 -0.195995 -0.017488 0.980449 -0.602195 -0.290799 0.743503 -0.742439 -0.374894 0.555193 -0.432918 -0.200289 0.878901 -0.818103 -0.413906 0.399236 -0.879805 -0.419705 0.22314 -0.8832 -0.285146 0.372357 -0.940384 -0.263381 0.215195 -0.205308 0.092751 0.974293 -0.12459 0.080228 0.988959 -0.122228 0.178941 0.976238 -0.196017 0.189929 0.962031 -0.04789 0.778827 0.625407 -0.065661 0.712179 0.698921 -0.086279 0.666075 0.740878 -0.054107 0.736647 0.674109 0.32735 0.918436 0.222077 0.038245 0.947019 0.318892 -0.067436 0.912058 0.404479 0.299059 0.868082 0.396229 0.020777 0.864061 0.502958 0.601008 0.74983 0.276665 0.10013 0.787789 0.607752 0.137884 0.80072 0.582954 0.293157 0.782715 0.549014 0.251535 0.793724 0.553834 0.033793 0.760625 0.648311 0.012829 0.792843 0.609291 -0.001462 0.805911 0.592035 0.470195 0.782277 0.408607 0.406592 0.824118 0.394351 -0.228092 0.919665 0.319673 -0.149194 0.877198 0.45636 0.221981 0.775644 0.590848 0.477153 0.718896 0.505483 0.642223 0.702693 0.306223 -0.941954 -0.151996 0.299365 -0.977272 -0.097629 0.18817 -0.969667 0.027366 0.242894 -0.984274 0.065087 0.16422 -0.081923 0.660823 0.746057 -0.143863 0.635643 0.75846 -0.950758 0.179022 0.253002 -0.969441 0.180582 0.166057 0.433741 0.791171 0.431182 0.286611 0.730746 0.619568 0.635928 0.49935 0.588427 0.410194 0.41588 0.811655 -0.030936 0.832088 0.553781 -0.063268 0.738092 0.671727 -0.236437 0.785277 0.572222 -0.098454 0.365739 0.925495 -0.356861 0.365039 0.859882 0.116456 0.704283 0.700303 0.160354 0.369389 0.915335 -0.380395 0.81813 0.431235 -0.491132 0.823545 0.283836 -0.59916 0.341103 0.724332 -0.798743 0.301719 0.520552 0.047573 -0.992573 0.111966 0.069354 -0.994739 0.075398 0.015592 -0.990695 0.135202 0.028503 -0.991144 0.129693 0.0864 -0.911356 0.402449 0.046371 -0.905885 0.420977 -0.018844 -0.991895 0.125654 -0.057065 -0.909815 0.411073 0.087743 -0.99576 0.027619 0.126144 -0.779499 0.613571 0.067151 -0.760559 0.645787 0.153713 -0.607983 0.778928 0.075394 -0.57677 0.81342 -0.085238 -0.760064 0.644234 -0.102578 -0.566247 0.817827 0.045094 -0.227711 0.972684 0.047131 -0.133922 0.98987 0.005657 -0.158915 0.987276 0.006376 -0.238835 0.971039 0.058631 -0.040878 0.997442 0.002975 -0.056704 0.998387 0.127635 -0.116289 0.98498 0.152279 -0.014755 0.988227 0.100619 -0.20516 0.973543 0.059288 0.068169 0.995911 -0.006745 0.055506 0.998436 0.05032 0.180626 0.982264 -0.021925 0.163036 0.986376 0.163736 0.099069 0.981517 0.156175 0.220652 0.962768 0.020684 0.317842 0.947918 -0.050294 0.316731 0.947181 -0.025411 0.533931 0.845146 -0.086911 0.5228 0.848014 0.127716 0.356862 0.925385 0.071441 0.516034 0.853584 -0.061054 0.766638 0.63917 0.078289 0.741306 0.666586 0.208508 0.671416 0.711144 0.313289 0.499706 0.807554 0.378689 0.310587 0.871855 0.400342 0.118619 0.908656 0.381543 -0.070384 0.921668 0.331083 -0.22771 0.915714 0.260306 -0.364971 0.893889 0.178111 -0.473128 0.862802 0.071351 -0.485088 0.87155 -0.127917 -0.411323 0.902469 -0.217134 -0.272275 0.9374 -0.28612 -0.114565 0.95132 -0.297833 0.014133 0.954513 -0.259212 0.153056 0.953616 -0.214461 0.319798 0.922895 -0.151901 0.528641 0.835144 -0.103669 0.295387 0.949736 -0.165776 0.313209 0.935104 -0.083675 0.492895 0.866056 -0.119834 0.470121 0.874429 -0.087588 0.774585 0.626376 -0.256922 -0.123444 0.958516 -0.282852 0.013185 0.959073 -0.378724 -0.276752 0.883163 -0.438423 -0.070607 0.895991 -0.437651 -0.063548 0.896897 -0.390678 -0.27619 0.878117 -0.251518 -0.431278 0.866451 -0.276371 -0.456203 0.845871 -0.19905 -0.303218 0.9319 -0.274611 0.135247 0.951996 -0.249887 0.293965 0.922573 -0.442099 0.099565 0.891423 -0.416837 0.295755 0.859521 -0.412837 0.32408 0.851198 -0.438351 0.113033 0.891668 0.156401 -0.497394 0.85331 0.061408 -0.535686 0.842181 0.119454 -0.452018 0.883974 0.032667 -0.468626 0.882793 0.050048 -0.559259 0.827481 0.150699 -0.524664 0.837865 0.208739 -0.361482 0.908713 0.238743 -0.413555 0.878621 0.232419 -0.391651 0.890276 -0.125806 -0.451337 0.883441 -0.128663 -0.465603 0.875591 -0.150994 -0.530967 0.833832 0.284031 -0.235212 0.929517 0.269401 -0.199777 0.942079 0.293517 -0.238502 0.925724 0.286186 -0.032306 0.957629 0.310905 -0.056264 0.948774 0.312743 -0.062252 0.947795 0.322676 0.120164 0.938851 0.286685 0.125421 0.94978 0.312932 0.123775 0.941676 0.279716 0.294166 0.913907 0.303905 0.313656 0.89959 0.309104 0.311381 0.898608 0.037576 0.808415 0.587412 0.169817 0.698638 0.69503 -0.000992 0.780213 0.625514 0.138259 0.681294 0.718834 0.161529 0.715447 0.679738 0.018778 0.826522 0.562592 -0.09996 0.801388 0.589733 -0.098648 0.85295 0.512587 -0.076807 0.814801 0.574631 0.262922 0.511395 0.818137 0.242579 0.49202 0.836105 0.262895 0.521513 0.811733 -0.185749 0.495789 0.848346 -0.322481 0.52883 0.785076 -0.160242 0.722224 0.672841 -0.146317 0.772841 0.617501 -0.312096 0.577251 0.754571 -0.076559 0.797941 0.597853 -0.071594 0.840171 0.537576 -0.107376 0.806238 0.581766 -0.112987 0.848782 0.51653 -0.287568 -0.01818 0.957588 -0.246849 -0.15606 0.956405 -0.173556 -0.290795 0.940913 -0.283237 0.22681 0.931844 -0.297529 0.100463 0.949412 0.014537 -0.330354 0.943745 0.072188 -0.329168 0.941508 0.150177 -0.268878 0.951394 -0.091484 -0.341365 0.935468 0.211928 -0.141481 0.96699 0.233591 -0.009434 0.972289 0.24083 0.120366 0.963075 0.233787 0.260424 0.936762 0.102888 0.613185 0.78321 -0.030399 0.694019 0.719314 -0.098708 0.675427 0.730791 0.204918 0.428836 0.879834 -0.132475 0.557408 0.819602 -0.232943 0.388015 0.89173 -0.075386 0.634728 0.769049 -0.09685 0.652599 0.751489 -0.092397 0.509504 0.855493 -0.081276 0.316551 0.945087 -0.068265 0.172012 0.982727 -0.054553 0.065325 0.996372 -0.043341 -0.055449 0.99752 -0.033383 -0.160096 0.986537 -0.028874 -0.24536 0.969002 -0.033304 -0.336054 0.941254 -0.042357 -0.467717 0.882863 -0.046567 -0.556118 0.829798 -0.037674 -0.519487 0.853647 -0.022566 -0.457423 0.888963 -0.012961 -0.556886 0.830488 -0.007732 -0.753873 0.656974 -0.003792 -0.90729 0.420489 -0.001149 -0.991208 0.132304 0.512335 -0.857386 0.049017 0.70555 -0.704425 0.077354 0.297092 -0.954566 0.023258 0.84286 -0.528889 0.09931 0.930258 -0.348816 0.113782 0.968103 -0.21837 0.122848 0.986591 -0.093131 0.134031 0.985676 0.081564 0.147617 0.95281 0.259757 0.157095 0.894834 0.417704 0.157465 0.844113 0.514896 0.149516 0.774064 0.618654 0.134508 0.673761 0.729252 0.119321 0.59429 0.795832 0.116061 0.5205 0.84585 0.116695 0.525074 0.841884 0.124616 0.765546 0.621669 0.16573 0.097097 -0.995263 0.004896 -0.565407 0.809464 0.158374 -0.611313 0.789337 0.056957 -0.920895 0.236324 0.310006 -0.979363 0.144989 0.140806 -0.738247 -0.362498 0.568846 -0.830423 -0.418752 0.367485 -0.844491 -0.498578 0.195588 -0.637358 -0.672695 0.37584 -0.668066 -0.709833 0.223216 -0.553902 -0.635855 0.537476 -0.346188 -0.291036 0.891881 -0.564224 -0.330618 0.756534 -0.436173 -0.617389 0.654663 -0.266348 -0.628612 0.730688 -0.097978 -0.251576 0.962865 -0.086895 -0.643915 0.760146 0.176816 -0.222898 0.958672 0.120695 -0.699248 0.704617 0.465192 -0.190422 0.864486 0.373032 -0.681742 0.629345 0.749171 -0.141411 0.647105 0.57208 -0.682024 0.455597 0.984143 0.023025 0.175875 0.738366 -0.656556 0.154109 -0.095635 0.76965 0.631263 -0.315057 -0.948903 0.017974 -0.110306 -0.993886 0.004918 -0.457702 -0.888528 0.032039 -0.589111 -0.807168 0.037792 0.510058 -0.858624 -0.051043 0.70623 -0.703125 -0.082786 0.294439 -0.955391 -0.023102 0.843862 -0.525198 -0.109834 0.928966 -0.346434 -0.130403 0.964683 -0.219414 -0.145751 0.981881 -0.104853 -0.157847 0.98501 0.058597 -0.162241 0.95819 0.238399 -0.158234 0.897823 0.414043 -0.149942 0.829346 0.538002 -0.150797 0.747675 0.644543 -0.159833 0.659153 0.734437 -0.161615 0.265044 0.963485 0.038059 0.039034 0.999086 0.017437 0.018622 0.997848 -0.062875 0.244836 0.962544 -0.116463 -0.130658 0.991351 0.012349 -0.138096 0.990164 -0.022449 -0.273293 0.96189 0.008822 -0.274255 0.961657 0.000421 -0.053579 0.998129 0.029453 -0.515915 0.855204 0.049583 0.344116 0.89883 -0.271457 -0.055876 0.956544 -0.286182 0.365283 0.930753 0.01632 -0.828131 0.557888 0.054409 -0.952772 0.299578 0.049783 -0.711727 -0.701459 0.037422 -0.905755 -0.418034 -0.069676 -0.8121 -0.578723 -0.074656 -0.818385 -0.573492 0.036778 -0.910268 -0.412077 0.040054 0.709552 0.701423 0.067393 0.515618 0.854187 0.067105 0.52626 0.835416 -0.158524 0.711562 0.67733 -0.186822 0.587221 0.793907 -0.157743 0.504751 0.849895 -0.151344 0.655685 0.754174 0.036026 0.627882 0.742251 -0.234154 -0.995755 -0.076042 0.051857 -0.966252 -0.253074 0.048064 -0.995208 0.084624 0.048994 -0.98245 0.180559 0.046801 0.500696 0.849415 -0.166726 0.699452 0.674292 -0.236847 -0.644888 0.764208 0.010314 -0.658085 0.75262 0.022063 -0.996997 0.052783 0.056672 -0.999004 0.031144 0.031952 0.095211 -0.995451 -0.003478 -0.828476 -0.551185 0.099113 -0.83354 -0.552229 0.015914 -0.680841 -0.722996 0.117184 -0.70438 -0.709823 0.000289 0.942473 0.130036 -0.307954 0.760792 -0.603232 -0.239387 -0.191598 -0.926128 -0.324926 -0.11404 -0.910397 -0.397707 -0.034523 -0.992382 -0.118262 -0.056307 -0.993628 -0.097639 -0.08229 -0.99447 -0.065257 -0.263919 -0.93806 -0.224478 -0.301453 -0.945273 -0.124839 -0.10268 -0.994176 -0.032728 -0.109842 -0.993816 -0.016268 -0.306215 -0.95011 -0.059356 0.319117 -0.647606 -0.691933 0.534285 -0.666968 -0.519319 0.385251 -0.83007 -0.403195 0.239592 -0.805165 -0.542499 0.228594 -0.939199 -0.256224 0.158278 -0.918607 -0.362089 -0.178484 -0.75672 -0.628902 -0.309497 -0.797477 -0.51792 -0.420841 -0.831771 -0.362009 -0.538657 -0.700909 -0.467519 -0.394197 -0.64598 -0.653696 -0.222745 -0.580396 -0.783278 -0.463953 -0.858375 -0.218951 -0.461429 -0.880375 -0.109649 -0.599801 -0.782405 -0.167575 -0.59309 -0.744341 -0.306921 0.280118 -0.952342 -0.120743 0.489162 -0.845976 -0.212238 0.674722 -0.67782 -0.292079 0.467443 -0.364911 -0.805194 0.712309 -0.345361 -0.611018 0.641575 -0.494023 -0.586791 0.39121 -0.489528 -0.779305 -0.257887 -0.431057 -0.864687 -0.450347 -0.520374 -0.725533 -0.610796 -0.588414 -0.529809 -0.665056 -0.488467 -0.56489 -0.505193 -0.408993 -0.759938 -0.312897 -0.314982 -0.896037 0.796286 -0.495922 -0.346396 0.865739 -0.328626 -0.377493 0.760432 -0.204661 -0.616326 0.545204 -0.224716 -0.807623 0.593644 -0.079984 -0.800743 0.783915 -0.086134 -0.614865 0.896384 -0.199742 -0.395726 0.906271 -0.095045 -0.411874 0.551478 0.253954 -0.794594 0.749758 0.226635 -0.62169 0.783116 0.056593 -0.619295 0.5969 0.085909 -0.797703 0.90526 0.04554 -0.42241 0.880719 0.218398 -0.420282 0.336343 0.599609 -0.726183 0.572035 0.582293 -0.577677 0.679985 0.408785 -0.6087 0.461982 0.425407 -0.778204 0.822759 0.398489 -0.405308 0.73865 0.550111 -0.389581 0.158279 0.713924 -0.6821 0.37644 0.723509 -0.578643 0.467127 0.676077 -0.569835 0.228363 0.685665 -0.691168 0.648361 0.657528 -0.383777 0.564637 0.73282 -0.379684 -0.132948 0.895471 -0.424801 -0.16783 0.911023 -0.376656 -0.12755 0.841928 -0.524298 -0.095044 0.810733 -0.577649 -0.191234 0.937857 -0.289574 -0.161097 0.88789 -0.430929 -0.099619 0.831047 -0.547207 -0.068866 0.782563 -0.618751 -0.042804 0.75673 -0.652324 -0.106611 0.95728 -0.268792 0.061832 0.967519 -0.24512 -0.090989 0.984179 -0.152028 -0.171442 0.958937 -0.225938 -0.170146 0.982001 -0.081999 -0.195635 0.967138 -0.16239 -0.282706 0.95847 -0.037576 -0.282545 0.952356 -0.114834 -0.262642 0.936921 -0.230646 -0.457702 0.605028 -0.651498 -0.494691 0.715297 -0.493589 -0.076223 0.822259 -0.563986 -0.087936 0.702019 -0.706709 0.319664 0.765998 -0.557729 0.294833 0.694844 -0.655946 0.224172 0.682804 -0.695361 -0.063717 0.649517 -0.757673 -0.387084 0.558006 -0.734027 -0.896043 0.261582 -0.358722 -0.944002 0.274393 -0.183216 -0.810194 0.488173 -0.324457 -0.742944 0.435424 -0.508371 -0.645648 0.412332 -0.642745 -0.811086 0.243382 -0.531887 -0.699157 0.136155 -0.701885 -0.530892 0.331786 -0.77979 -0.30426 0.511436 -0.803654 -0.248492 0.408629 -0.878222 -0.387347 0.198969 -0.900208 -0.511763 -0.033699 -0.858465 -0.688173 -0.178311 -0.703294 -0.790784 -0.260454 -0.553917 -0.872048 -0.112083 -0.476413 -0.794394 -0.013341 -0.607256 -0.920109 0.042291 -0.389372 -0.884532 0.127633 -0.44868 -0.676964 -0.636735 -0.369174 -0.702442 -0.678564 -0.214769 -0.78028 -0.57775 -0.239514 -0.733839 -0.540713 -0.41123 -0.092147 -0.181509 -0.979062 -0.144369 -0.166467 -0.975421 -0.159435 -0.079334 -0.984015 -0.094565 -0.065989 -0.993329 -0.168501 -0.000101 -0.985701 -0.104493 0.01153 -0.994459 -0.726284 -0.369697 -0.579514 -0.588438 -0.292192 -0.753899 -0.407291 -0.20071 -0.890971 -0.869486 -0.42871 -0.245363 -0.799739 -0.41079 -0.4378 -0.938755 -0.260153 -0.225963 -0.869609 -0.274794 -0.410206 -0.170534 0.079532 -0.982137 -0.161151 0.169743 -0.972223 -0.090409 0.181448 -0.979236 -0.10396 0.092065 -0.990311 -0.061474 0.779505 -0.623373 -0.054952 0.743789 -0.666152 -0.103099 0.66864 -0.736404 -0.089248 0.714186 -0.694242 0.313646 0.879357 -0.358269 0.027421 0.941997 -0.334499 -0.080622 0.891857 -0.445073 0.022338 0.831019 -0.555795 0.289168 0.850636 -0.43909 0.556005 0.699289 -0.449281 0.050624 0.773712 -0.631511 0.231632 0.808083 -0.541616 0.288863 0.771715 -0.566581 0.103245 0.744807 -0.659244 0.031939 0.724546 -0.688486 0.003268 0.749951 -0.661485 -0.026171 0.792703 -0.609046 0.482137 0.794981 -0.36817 0.398207 0.851469 -0.34122 -0.221077 0.901734 -0.371484 -0.143622 0.850839 -0.505417 0.234374 0.743588 -0.626216 0.46128 0.703836 -0.540218 0.562017 0.649813 -0.511741 -0.977474 -0.09123 -0.19032 -0.936551 -0.12725 -0.326619 -0.984003 0.070682 -0.163533 -0.961337 0.050417 -0.270718 -0.12138 0.620783 -0.774529 -0.05521 0.647511 -0.760053 -0.944461 0.162933 -0.285388 -0.972855 0.171501 -0.15537 0.237565 0.800499 -0.55024 0.395586 0.847721 -0.353385 0.35269 0.570432 -0.741766 0.568049 0.652016 -0.502191 -0.054488 0.806873 -0.588206 -0.221404 0.774347 -0.592762 -0.082141 0.728443 -0.680164 -0.34248 0.449493 -0.825023 -0.1184 0.432945 -0.893611 0.102358 0.477975 -0.872389 0.062161 0.735187 -0.675008 -0.351621 0.822971 -0.446186 -0.453177 0.839825 -0.298872 -0.753559 0.408132 -0.515341 -0.56556 0.457673 -0.686059 0.070662 -0.994095 -0.082354 0.053046 -0.991548 -0.1184 0.013209 -0.990078 -0.139895 0.042006 -0.899343 -0.435221 0.096965 -0.90473 -0.414802 0.032991 -0.99044 -0.133938 -0.056118 -0.897897 -0.436614 -0.016738 -0.990736 -0.134764 0.086464 -0.995644 -0.034877 0.061043 -0.750045 -0.658564 0.137198 -0.774505 -0.61751 0.069229 -0.578014 -0.813085 0.165722 -0.607498 -0.776841 -0.08926 -0.735213 -0.671934 -0.114239 -0.544747 -0.830783 0.019911 -0.230638 -0.972836 -0.030593 -0.214954 -0.976145 -0.045955 -0.097756 -0.994149 0.002659 -0.095509 -0.995425 -0.052141 0.011297 -0.998576 0.002127 0.01818 -0.999832 0.120697 0.01473 -0.99258 0.113372 -0.110702 -0.987366 0.096736 -0.223211 -0.969958 -0.055442 0.119889 -0.991238 -0.003618 0.136061 -0.990694 -0.057352 0.236947 -0.969828 -0.01353 0.263616 -0.964533 0.087309 0.294367 -0.951696 0.113304 0.153076 -0.981697 -0.061332 0.359879 -0.930981 -0.028754 0.371752 -0.927887 -0.069217 0.479884 -0.874597 -0.04309 0.485197 -0.873342 0.017067 0.479437 -0.87741 0.052641 0.398131 -0.915817 -0.034654 0.760876 -0.647972 0.07156 0.732098 -0.67743 0.191934 0.634425 -0.748777 0.303753 0.458556 -0.835141 0.384402 0.282027 -0.879031 0.419845 0.110042 -0.9009 0.406427 -0.062856 -0.911518 0.353955 -0.220425 -0.908916 0.281504 -0.354287 -0.89176 0.067511 -0.500136 -0.863311 0.193668 -0.469971 -0.861174 -0.14958 -0.414815 -0.897527 -0.228363 -0.298833 -0.926579 -0.288297 -0.161724 -0.943785 -0.298702 -0.022525 -0.954081 -0.190826 0.301532 -0.934165 -0.246409 0.126265 -0.960906 -0.15017 0.520238 -0.840715 -0.129702 0.309072 -0.942153 -0.066417 0.305119 -0.949995 -0.055085 0.462192 -0.885067 -0.090042 0.449004 -0.888981 -0.071733 0.766958 -0.637675 -0.283007 -0.028509 -0.958694 -0.281863 -0.191917 -0.940065 -0.351312 -0.084797 -0.932411 -0.309888 -0.241843 -0.919501 -0.329877 -0.256795 -0.908426 -0.371873 -0.083592 -0.924512 -0.244245 -0.370528 -0.896133 -0.261882 -0.399787 -0.878401 -0.239012 -0.350966 -0.905371 -0.228514 0.26963 -0.935457 -0.253264 0.114721 -0.960571 -0.387754 0.261515 -0.883887 -0.38213 0.068912 -0.921536 -0.395833 0.087229 -0.914171 -0.400411 0.295266 -0.867461 0.059717 -0.537384 -0.841221 0.170799 -0.490618 -0.854471 0.023673 -0.491984 -0.870282 0.138029 -0.482666 -0.864859 0.172547 -0.546798 -0.819292 0.048051 -0.585369 -0.809342 0.24535 -0.391127 -0.88703 0.271557 -0.425603 -0.863203 0.253362 -0.383231 -0.888224 -0.16392 -0.464478 -0.870282 -0.156074 -0.43633 -0.886147 -0.174103 -0.495914 -0.85074 0.311338 -0.234144 -0.921002 0.314452 -0.22765 -0.921573 0.331844 -0.253055 -0.908759 0.334948 -0.047443 -0.941041 0.358791 -0.06942 -0.930833 0.352034 -0.064094 -0.93379 0.370008 0.120956 -0.921121 0.325861 0.13785 -0.935314 0.365501 0.126808 -0.922133 0.293842 0.331419 -0.896559 0.345775 0.339247 -0.874843 0.349666 0.318511 -0.88107 0.181191 0.722006 -0.667741 0.050427 0.826013 -0.561391 0.124911 0.682336 -0.720288 -8.3e-005 0.771418 -0.636329 0.029371 0.862647 -0.504953 0.172441 0.753171 -0.634821 -0.088449 0.796983 -0.597491 -0.084759 0.878493 -0.470177 -0.056365 0.816918 -0.573992 0.28721 0.527283 -0.799677 0.229314 0.522426 -0.821271 0.28443 0.557632 -0.779838 -0.184783 0.47937 -0.857939 -0.159072 0.705689 -0.690434 -0.306838 0.513915 -0.801088 -0.313651 0.56677 -0.761837 -0.157757 0.765176 -0.624195 -0.073978 0.778021 -0.623867 -0.070331 0.835642 -0.544753 -0.087799 0.795672 -0.599331 -0.090591 0.859197 -0.503561 -0.232887 -0.144487 -0.961711 -0.244705 -0.029472 -0.96915 -0.189644 -0.261806 -0.946305 -0.251478 0.075314 -0.964928 -0.245154 0.195506 -0.949567 0.069738 -0.345456 -0.93584 -0.006898 -0.32309 -0.946343 0.169707 -0.300933 -0.938424 -0.116208 -0.315517 -0.941778 0.239122 -0.166926 -0.956533 0.255866 -0.011563 -0.966643 0.242809 0.152646 -0.957989 0.202267 0.315072 -0.927264 -0.032641 0.607102 -0.793953 0.060458 0.564272 -0.823372 -0.076278 0.598808 -0.797252 0.144831 0.45396 -0.879173 -0.202967 0.364176 -0.908945 -0.116061 0.523868 -0.843856 -0.061288 0.585836 -0.808109 -0.069247 0.590821 -0.803825 -0.06147 0.471147 -0.87991 -0.062087 0.339494 -0.938557 -0.069753 0.213116 -0.974534 -0.075711 0.106988 -0.991373 -0.074759 0.010224 -0.997149 -0.065915 -0.084862 -0.99421 -0.056359 -0.195476 -0.979088 -0.058264 -0.312594 -0.948098 -0.069962 -0.465689 -0.882179 -0.071195 -0.557949 -0.826815 -0.045754 -0.47841 -0.876944 -0.060646 -0.52652 -0.847997 -0.029989 -0.553187 -0.832517 -0.018388 -0.737572 -0.675018 -0.009087 -0.897441 -0.441041 -0.00158 -0.989993 -0.141109 -0.308322 -0.951065 -0.020322 -0.110713 -0.99381 -0.009215 -0.455221 -0.889796 -0.032191 -0.596471 -0.800898 -0.052761 -0.511407 0.823202 -0.246578 -0.952243 0.291325 -0.09145 -0.828387 0.538442 -0.154449 -0.712918 -0.697663 -0.070811 -0.964192 -0.256036 -0.069136 -0.99426 -0.077609 -0.073642 -0.993521 0.085088 -0.075342 -0.980403 0.180699 -0.07847 -0.618484 0.785248 -0.029371 -0.985065 0.143698 -0.094851 -0.540296 0.826158 -0.159823 -0.899944 0.302263 -0.314224 -0.858864 -0.489238 -0.15165 -0.711588 -0.680949 -0.173063 -0.767866 -0.270651 -0.580629 -0.848883 -0.383401 -0.36387 -0.671939 -0.656576 -0.342645 -0.602072 -0.614193 -0.510173 -0.382168 -0.137855 -0.913752 -0.607476 -0.181274 -0.773377 -0.492091 -0.563373 -0.66367 -0.327921 -0.53701 -0.777231 -0.13782 -0.132667 -0.981532 -0.138241 -0.548212 -0.824835 0.069946 -0.573914 -0.815923 0.11889 -0.117351 -0.985948 0.269629 -0.627654 -0.730309 0.418909 -0.085153 -0.904027 0.751138 0.018205 -0.659894 0.495888 -0.698066 -0.516526 -0.95931 0.034968 0.280182 -0.952229 0.032635 0.303636 -0.93144 0.167086 0.323268 -0.946666 0.171861 0.272557 -0.944846 0.025037 0.326557 -0.91551 0.150958 0.372899 -0.937578 0.012119 0.347564 -0.899986 0.12397 0.417919 -0.930687 -0.005661 0.365772 -0.885622 0.08696 0.456193 -0.924746 -0.02703 0.379623 -0.873384 0.042333 0.485189 -0.919713 -0.051956 0.389139 -0.863691 -0.010116 0.503919 -0.915891 -0.078133 0.39375 -0.857075 -0.064545 0.511132 -0.913924 -0.104134 0.392301 -0.854193 -0.116994 0.506623 -0.913686 -0.130204 0.385001 -0.854276 -0.170718 0.490986 -0.915221 -0.154787 0.372036 -0.856986 -0.224754 0.463745 -0.918574 -0.175545 0.354127 -0.862661 -0.271395 0.426803 -0.924357 -0.190998 0.330279 -0.874699 -0.302741 0.378484 -0.93489 -0.202027 0.291831 -0.900162 -0.32556 0.289342 -0.890596 -0.319641 0.323525 -0.930807 -0.199874 0.306022 -0.896 0.289458 0.336747 -0.918721 0.296141 0.261252 -0.872107 0.26593 0.410745 -0.848724 0.226438 0.477905 -0.827137 0.172709 0.534805 -0.80861 0.10747 0.578446 -0.794368 0.032855 0.606547 -0.785336 -0.046853 0.617294 -0.781515 -0.12666 0.610894 -0.781913 -0.208771 0.58739 -0.785856 -0.293485 0.544332 -0.793937 -0.361184 0.489091 -0.811021 -0.403504 0.423592 -0.835242 -0.430573 0.342022 -0.847345 0.403795 0.3449 -0.876998 0.412515 0.246384 -0.816114 0.373023 0.441375 -0.785473 0.321444 0.528872 -0.757102 0.251755 0.60284 -0.732492 0.167285 0.659903 -0.71285 0.071993 0.697612 -0.699448 -0.030237 0.714044 -0.693366 -0.135002 0.707826 -0.694705 -0.244186 0.676579 -0.700161 -0.36004 0.616559 -0.706167 -0.453566 0.543697 -0.723583 -0.510419 0.464651 -0.757493 -0.546167 0.357639 -0.786239 0.510828 0.347683 -0.822283 0.521471 0.227858 -0.748188 0.473296 0.464978 -0.710816 0.41044 0.571208 -0.676265 0.32557 0.66081 -0.646313 0.222825 0.729815 -0.622397 0.107069 0.775344 -0.605751 -0.016281 0.795488 -0.597541 -0.142104 0.789146 -0.599072 -0.273389 0.752576 -0.605625 -0.422009 0.67463 -0.607323 -0.542234 0.580639 -0.62045 -0.60942 0.493609 -0.663091 -0.648882 0.373178 -0.713977 0.609147 0.34522 -0.755821 0.6215 0.206088 -0.669772 0.565403 0.481378 -0.626414 0.492206 0.604433 -0.58635 0.393512 0.708055 -0.551603 0.274208 0.787746 -0.523909 0.140003 0.84019 -0.504656 -0.002861 0.863316 -0.494725 -0.148092 0.856339 -0.496885 -0.296649 0.81554 -0.511217 -0.470298 0.719359 -0.523448 -0.603062 0.601929 -0.54514 -0.6692 0.504969 -0.589688 -0.712391 0.380483 -0.632092 0.697412 0.337752 -0.679083 0.71125 0.181575 -0.582478 0.648166 0.490511 -0.533908 0.565768 0.62837 -0.489063 0.454778 0.744308 -0.450216 0.320826 0.833293 -0.419311 0.170384 0.891711 -0.397828 0.010371 0.917402 -0.386738 -0.152189 0.909545 -0.388906 -0.314579 0.865905 -0.416834 -0.497637 0.760662 -0.460989 -0.625959 0.629018 -0.542107 0.774681 0.32556 -0.593506 0.78981 0.15476 -0.487909 0.720672 0.492521 -0.434921 0.630341 0.64305 -0.3861 0.508756 0.769476 -0.343913 0.362223 0.866325 -0.310381 0.197869 0.929791 -0.287052 0.023243 0.957633 -0.274984 -0.154056 0.949026 -0.274153 -0.330443 0.903132 -0.301736 -0.514601 0.802584 -0.360883 -0.638403 0.679857 -0.445437 0.840329 0.308923 -0.50045 0.856542 0.126038 -0.387543 0.782319 0.487634 -0.331043 0.685354 0.648614 -0.279115 0.554987 0.783636 -0.234323 0.398047 0.886934 -0.198766 0.222238 0.954517 -0.174032 0.035606 0.984096 -0.161146 -0.153806 0.974872 -0.161623 -0.341915 0.925728 -0.183322 -0.527132 0.829774 -0.220903 -0.657095 0.720714 -0.343523 0.893833 0.288192 -0.401399 0.910874 0.095845 -0.282773 0.832684 0.476106 -0.223681 0.730476 0.645269 -0.169508 0.593188 0.787016 -0.122852 0.428085 0.895349 -0.085869 0.24334 0.966133 -0.060478 0.047525 0.997037 -0.048298 -0.151042 0.987347 -0.051169 -0.346801 0.936542 -0.071334 -0.536879 0.840638 -0.087789 -0.68823 0.720162 -0.21986 0.940431 0.259327 -0.28005 0.958152 0.059303 -0.156918 0.876718 0.454689 -0.095926 0.770248 0.630489 -0.040164 0.627316 0.777728 0.007734 0.455603 0.890149 0.046891 0.262808 0.963708 0.076503 0.059129 0.995315 0.087975 -0.141662 0.985998 0.082632 -0.346525 0.934394 0.066735 -0.543112 0.837004 0.044893 -0.70688 0.705907 -0.074449 0.972485 0.220751 -0.13589 0.990587 0.016451 -0.0105 0.907325 0.420298 0.052421 0.798072 0.600278 0.112271 0.651463 0.750327 0.17284 0.475296 0.862682 0.224622 0.286559 0.931359 0.237263 0.088989 0.967361 0.218281 -0.113 0.969322 0.208533 -0.342413 0.916116 0.208343 -0.548433 0.809824 0.177566 -0.726111 0.664254 0.072457 0.981536 0.17702 0.011184 0.999581 -0.026697 0.13045 0.91774 0.375149 0.17379 0.810665 0.559124 0.202259 0.677497 0.70717 0.281823 0.466274 0.838549 0.389486 0.279956 0.877454 0.38011 0.146887 0.913204 0.357385 -0.040932 0.93306 0.345941 -0.321259 0.881543 0.34413 -0.559385 0.754098 0.331752 -0.740685 0.584232 0.196145 0.971318 0.134422 0.140044 0.988072 -0.064045 0.22226 0.915547 0.335221 0.215212 0.826522 0.520139 0.485045 0.203691 0.850436 0.549186 0.085396 0.831326 0.51886 -0.274121 0.809717 0.494351 -0.559544 0.665228 0.486216 -0.716967 0.499552 0.288962 0.953069 0.090338 0.249176 0.963756 -0.09532 0.279421 0.910567 0.304618 0.388152 0.921065 0.031265 0.355698 0.926134 -0.125519 0.404067 0.903782 0.141097 0.68549 -0.217008 0.69499 0.702569 0.095581 0.705167 0.629523 -0.529053 0.569037 0.593718 -0.693079 0.408828 0.496683 0.867503 -0.027267 0.458279 0.875316 -0.154276 0.528047 0.848543 0.03378 0.806768 -0.152023 0.570977 0.808457 0.086821 0.582116 0.751952 -0.463847 0.468417 0.679141 -0.659907 0.321388 0.597185 0.799146 -0.068811 0.555473 0.811556 -0.181181 0.641605 0.76683 -0.017718 0.890943 -0.106367 0.441483 0.8665 0.068021 0.494522 0.874776 -0.373384 0.30879 0.812876 -0.546789 0.200637 0.713003 0.692155 -0.112017 0.675208 0.706006 -0.213658 0.760001 0.64795 -0.050575 0.881663 0.086627 0.463859 0.915057 -0.143088 0.377089 0.91943 -0.337729 0.201463 0.893271 -0.433495 0.118948 0.740476 -0.66906 0.063675 0.859379 -0.511092 0.015908 0.647012 -0.745143 -0.161672 0.622061 -0.770384 0.139818 0.519697 -0.840964 -0.150645 0.82048 0.555122 -0.136569 0.782459 0.574043 -0.241314 0.857424 0.511442 -0.057009 0.806681 0.536729 -0.247364 0.862468 0.496193 -0.099707 0.878972 0.473396 -0.057475 0.818208 0.516312 -0.252897 -0.95504 -0.087036 0.283414 0.458007 0.336509 0.822795 0.548647 0.436829 0.712858 0.498793 0.508214 0.702085 0.40895 0.438856 0.800103 0.458788 0.419381 0.783347 0.488579 0.295919 0.820806 0.338496 0.547557 0.765246 0.40128 0.540787 0.739273 0.447903 0.573978 0.685516 0.572577 0.090453 0.814846 0.659971 0.242585 0.711049 0.600793 0.356629 0.715446 0.507798 0.222804 0.832165 0.525407 0.175386 0.832579 0.592642 0.076696 0.801806 0.696495 -0.160757 0.699323 0.747071 -0.060562 0.66198 0.716368 0.089686 0.691935 0.643654 -0.044528 0.76402 0.679875 -0.004061 0.733317 0.751902 -0.071444 0.655392 0.836517 -0.293072 0.462977 0.828132 -0.230473 0.510959 0.762807 -0.199352 0.61513 0.753672 -0.259258 0.603957 0.803598 -0.130297 0.580735 0.857252 -0.175255 0.484153 0.916775 -0.199713 0.345889 0.913851 -0.163134 0.371839 0.958882 -0.051876 0.279022 0.954667 -0.015331 0.297282 0.878559 0.023718 0.477045 0.887732 -0.142315 0.437811 0.881622 0.374121 0.287709 0.786275 0.361357 0.501191 0.845764 0.203036 0.493417 0.938392 0.191581 0.287606 0.964699 0.141352 0.222208 0.919874 0.344658 0.187198 0.735833 0.601185 0.31165 0.66518 0.53777 0.518014 0.724119 0.464664 0.509645 0.811286 0.503396 0.297333 0.847399 0.503007 0.169996 0.757311 0.630422 0.170435 0.55095 0.766953 0.328993 0.550236 0.662384 0.508417 0.604139 0.603421 0.520479 0.650213 0.6874 0.32358 0.647232 0.739853 0.183595 0.52066 0.823219 0.226328 0.232539 0.84106 0.48841 0.333081 0.772484 0.540672 0.4542 0.75815 0.467879 0.390892 0.846896 0.360515 0.372475 0.869089 0.325495 0.285053 0.827495 0.483733 0.339781 0.673393 0.656575 0.238562 0.704887 0.668 0.320797 0.691569 0.647164 0.829927 0.324203 0.453996 0.78816 0.413058 0.456275 0.818961 0.437724 0.37108 0.868606 0.367447 0.332424 0.594766 0.761672 -0.257117 0.732865 0.586033 -0.345649 0.753901 0.533838 0.38295 0.862991 0.204761 0.461865 0.867214 0.193679 0.458725 0.940858 -0.000486 0.3388 0.908483 -0.022324 0.417326 0.966409 -0.169051 -0.193584 0.923393 -0.383468 0.01723 0.951149 0.102662 0.291162 0.867316 0.198019 0.456675 0.856872 0.261318 0.444391 0.920131 0.262219 0.290862 0.845974 0.375555 -0.378531 0.934245 0.115443 -0.337429 0.724297 0.540152 0.42852 0.705159 0.593618 0.387773 0.719293 0.595991 0.356949 0.405662 0.913937 -0.012545 0.486535 0.862055 -0.141935 0.71787 0.605721 0.343167 0.730039 0.584407 0.354276 0.725686 0.562032 0.396862 0.693853 0.591752 0.410363 0.217331 0.868422 0.445659 0.312452 0.932842 0.179389 0.629841 0.545507 0.552922 0.214362 0.527633 0.821981 0.173015 0.7023 0.690536 0.57713 0.459556 0.675077 0.602476 0.389152 0.696838 0.688167 0.493994 0.531411 0.689409 0.382203 0.615335 0.751692 0.33439 0.568456 0.797599 0.361585 0.482797 0.671211 0.364963 0.645196 0.411128 0.319273 0.853838 0.313319 0.402291 0.860228 0.718031 0.380064 0.58308 0.802641 0.402836 0.439876 0.786668 0.41629 0.455912 0.7261 0.396288 0.561903 0.493842 0.121551 0.861014 0.469657 0.240907 0.849345 0.710366 0.36318 0.602894 0.767343 0.380847 0.515888 0.773688 0.31236 0.551215 0.718919 0.257235 0.645744 0.615801 -0.251493 0.746687 0.530844 -0.044491 0.846301 0.775459 0.113009 0.621203 0.81328 0.246247 0.527199 0.846491 0.212923 0.487972 0.849483 0.012404 0.52747 0.842402 -0.47405 0.256193 0.735809 -0.426295 0.526173 0.762121 0.060604 0.644592 0.762121 0.060604 0.644592 0.670388 0.105094 0.734531 0.670388 0.105094 0.734531 0.53593 0.35712 0.765013 0.53593 0.35712 0.765013 0.519593 0.470857 0.712963 0.519593 0.470857 0.712963 0.592721 0.147272 0.791829 0.592721 0.147272 0.791829 0.539402 0.227876 0.810628 0.539402 0.227876 0.810628 0.838046 -0.041961 0.543984 0.838046 -0.041961 0.543984 0.805134 0.024108 0.592603 0.805134 0.024108 0.592603 0.458987 0.56981 0.681651 0.458987 0.56981 0.681651 0.36131 0.737053 0.571146 0.36131 0.737053 0.571146 0.930114 -0.106536 0.351481 0.930114 -0.106536 0.351481 0.880661 -0.11099 0.460561 0.880661 -0.11099 0.460561 0.320732 0.857422 0.402441 0.320732 0.857422 0.402441 0.44726 0.859353 0.247932 0.44726 0.859353 0.247932 0.95182 0.231775 0.200795 0.95182 0.231775 0.200795 0.964167 0.021103 0.264456 0.964167 0.021103 0.264456 0.579093 0.8006 0.153919 0.579093 0.8006 0.153919 0.697437 0.705567 0.12553 0.697437 0.705567 0.12553 0.814036 0.566095 0.129927 0.814036 0.566095 0.129927 0.890074 0.43096 0.148464 0.890074 0.43096 0.148464 0.029208 0.881474 -0.471328 0.029208 0.881474 -0.471328 0.096449 0.728365 -0.678368 0.096449 0.728365 -0.678368 0.4685 0.04873 -0.882118 0.4685 0.04873 -0.882118 0.638087 -0.253445 -0.727056 0.638087 -0.253445 -0.727056 0.178322 0.511529 -0.840559 0.178322 0.511529 -0.840559 0.316697 0.307225 -0.897394 0.316697 0.307225 -0.897394 -0.229597 0.97301 0.023188 -0.229597 0.97301 0.023188 -0.099111 0.961282 -0.257125 -0.099111 0.961282 -0.257125 0.690989 -0.552351 -0.466307 0.690989 -0.552351 -0.466307 0.614728 -0.774975 -0.146708 0.614728 -0.774975 -0.146708 -0.213285 0.674612 0.706689 -0.213285 0.674612 0.706689 -0.277125 0.880387 0.384865 -0.277125 0.880387 0.384865 0.522099 -0.831492 0.189823 0.522099 -0.831492 0.189823 0.41303 -0.701304 0.581016 0.41303 -0.701304 0.581016 0.016451 0.304495 0.952372 0.016451 0.304495 0.952372 -0.102423 0.482133 0.87009 -0.102423 0.482133 0.87009 0.321342 -0.449506 0.833477 0.321342 -0.449506 0.833477 0.240502 -0.251619 0.937468 0.240502 -0.251619 0.937468 0.177609 -0.048219 0.982919 0.177609 -0.048219 0.982919 0.113264 0.143803 0.983103 0.113264 0.143803 0.983103 0.856752 0.237426 0.457827 0.923385 0.210649 0.320917 0.807841 0.342573 0.479622 0.926355 0.306361 0.219111 0.893024 0.401372 0.203491 0.707489 0.350542 0.613661 0.690028 0.404138 0.600445 0.701459 0.296818 0.647962 0.79174 0.518629 0.322757 0.756722 0.567339 0.324806 0.829456 0.472735 0.297531 0.598529 0.538416 0.593188 0.611969 0.432342 0.662249 0.636119 0.597396 0.488334 0.661695 0.3349 0.670821 0.723255 0.374582 0.580165 0.790325 0.34767 0.504491 0.811959 0.371822 0.449969 0.863778 0.442517 0.24097 0.701135 0.600411 0.384599 0.932766 0.160597 0.322732 0.970845 0.170441 0.168552 0.883636 0.175716 0.433947 0.958137 0.275993 0.076165 0.918477 0.391142 0.058382 0.596042 0.268924 0.756581 0.631692 0.23949 0.737299 0.526233 0.296752 0.79688 0.713347 0.696389 0.078601 0.607873 0.785114 0.118686 0.815341 0.574919 0.068466 0.317442 0.747572 0.583409 0.328784 0.607429 0.72314 0.382484 0.824581 0.416859 0.421264 0.422347 0.802596 0.694449 0.183029 0.695875 0.790988 0.142639 0.594973 0.851498 0.154648 0.501034 0.88206 0.467139 0.061249 0.494106 0.834447 0.244044 0.898388 0.239427 0.368203 0.928433 0.290662 0.231361 0.927907 0.362185 0.088373 0.90613 0.422899 -0.009252 0.502343 -0.531378 -0.68212 0.481433 0.034979 -0.875785 0.821621 0.007587 -0.569984 0.601173 0.059321 -0.796914 0.288385 0.93379 -0.211824 0.988457 0.045901 -0.144378 0.606647 0.786641 -0.114787 0.631147 0.75431 -0.180748 0.972584 0.01879 -0.231792 0.50542 0.85821 -0.089584 0.979429 0.125423 -0.158074 0.681238 -0.704485 -0.199036 0.649817 -0.670326 -0.358331 0.486326 -0.865845 -0.117473 0.446328 -0.866561 -0.223303 0.749936 -0.639396 -0.169616 0.164446 0.814374 0.556554 0.230868 0.7458 0.624886 0.513037 0.656869 0.552553 0.434017 0.729299 0.528916 0.753221 0.48407 0.445347 0.753221 0.48407 0.445347 0.124146 -0.973254 0.193296 0.136691 -0.979344 0.149 0.136691 -0.979344 0.149 0.184839 -0.973906 0.131688 0.16227 -0.986484 -0.022769 0.212195 -0.968006 0.133929 0.212195 -0.968006 0.133929 0.404326 0.749489 0.524201 0.579587 0.654669 0.485269 0.579587 0.654669 0.485269 0.267339 0.835446 0.480167 0.245983 0.889628 0.38478 0.267339 0.835446 0.480167 0.316456 0.757992 0.570354 0.349573 0.870764 0.345787 0.299173 0.736411 0.60679 0.210334 0.763548 0.610536 0.173912 0.765408 0.619601 0.197207 0.7873 0.584182 0.208134 0.150701 0.966421 0.45413 0.145812 0.878922 0.34138 0.606573 0.718004 0.193961 0.656473 0.728987 0.702212 0.014831 0.711813 0.629702 0.408791 0.660579 0.464374 -0.299888 0.833321 0.195845 -0.470873 0.860188 0.247334 -0.957018 0.151467 0.40013 -0.846054 0.352263 0.156142 -0.842984 0.51478 0.487382 -0.796965 0.356799 0.24234 -0.955279 0.169453 0.220077 -0.968074 0.119991 0.144759 -0.978459 0.147185 0.183204 -0.982603 -0.03045 0.067622 -0.997704 0.003667 0.333609 0.885237 0.324131 0.26257 0.786829 0.558531 0.249027 0.818022 0.518484 0.310909 0.905688 0.288211 0.981618 -0.064667 0.179569 0.953472 -0.110057 0.280676 0.829047 -0.397145 0.393645 0.92859 0.156172 0.336647 0.777747 -0.421784 0.466056 0.769156 -0.579058 0.270354 0.995933 0.044395 0.078399 0.452986 -0.772336 0.445309 0.25562 -0.911562 0.322045 0.985612 -0.013881 -0.168452 0.7241 -0.689125 0.028032 0.669094 -0.721471 -0.178308 0.959852 -0.03757 -0.277979 0.142983 -0.970854 0.192352 0.080246 -0.996775 0.00032 0.399717 0.880195 0.255896 0.376418 0.74386 0.552252 0.932941 0.251988 0.257146 0.923519 0.376658 0.072404 0.341071 0.563945 0.752088 0.901143 0.06264 0.428972 0.473307 -0.704975 -0.528197 0.53861 0.034196 -0.841861 0.284747 -0.650038 -0.704536 0.28859 -0.717857 -0.633559 0.66476 -0.69131 -0.283167 0.687122 0.601648 -0.407288 0.19454 0.943367 -0.268726 0.142669 0.967481 -0.20887 0.158097 0.977372 -0.140534 0.267227 0.956959 -0.113221 0.206618 0.964826 -0.16254 0.111176 0.975912 -0.187714 0.29006 0.951394 -0.103509 0.197728 0.977642 -0.071559 0.133329 0.730763 0.669484 -0.021072 0.776457 0.629818 -0.048861 0.692427 0.719831 -0.267381 0.736738 0.621067 0.502201 -0.841758 -0.198082 0.347489 -0.823244 -0.44891 0.323269 -0.832159 -0.450565 0.365532 -0.909977 -0.195774 0.278989 -0.744812 -0.606152 0.310543 -0.724294 -0.615598 0.470573 -0.845704 0.251686 0.639991 -0.751749 0.159014 0.847528 -0.526779 -0.064814 0.931762 0.360605 -0.042234 0.731131 -0.37377 0.57074 0.545828 -0.440059 0.713036 0.28654 -0.807827 -0.515083 0.336227 -0.798398 -0.499512 0.390344 -0.778946 -0.490791 0.394888 -0.900382 -0.182694 0.453746 -0.877199 -0.156959 0.356802 -0.910855 -0.207449 -0.344161 0.695104 0.631176 -0.149439 0.640429 0.753338 -0.149043 0.665502 0.731364 -0.349826 0.693839 0.629452 -0.136209 0.702366 0.698663 -0.323407 0.705435 0.63069 0.682989 -0.682468 -0.260315 0.59895 -0.703991 -0.381648 0.629914 -0.656157 -0.415531 0.77097 -0.571238 -0.281588 0.426971 -0.693708 -0.580055 0.470882 -0.685627 -0.555145 0.547183 -0.735019 -0.400422 0.403878 -0.692278 -0.598025 0.639219 -0.729933 -0.242067 0.756317 -0.646196 0.102054 0.818345 -0.573567 0.036491 0.814869 -0.159464 0.557279 0.753505 -0.300809 0.584589 0.916322 -0.395282 -0.064085 -0.552229 0.717565 0.424433 -0.549898 0.723485 0.417351 -0.689114 0.695621 0.20306 -0.692124 0.693865 0.198787 -0.449937 0.772191 0.44864 -0.582332 0.776773 0.23982 0.4591 -0.736156 -0.497294 0.428557 -0.75507 -0.496193 0.470093 -0.756298 -0.455001 0.604445 -0.773438 -0.190894 0.573109 -0.784752 -0.236031 0.620477 -0.767507 -0.161065 -0.154659 0.830449 0.535196 -0.208047 0.933434 0.292262 0.839948 -0.488026 -0.237313 0.649751 -0.668884 -0.361136 0.686328 -0.685198 -0.243841 0.870409 -0.456272 -0.184943 0.113928 -0.971144 0.209524 0.420169 -0.778433 0.466369 0.36716 -0.763202 0.531711 -0.02591 -0.968892 0.246125 0.735247 0.502746 0.454597 0.760736 -0.231899 0.60622 0.709739 -0.164748 0.68493 0.677088 0.518341 0.522374 0.150157 0.985896 -0.073902 0.110758 0.979195 -0.170028 0.14924 0.977328 -0.150193 0.102024 0.980668 -0.166976 0.092901 0.976521 -0.194362 0.035026 -0.981694 0.187218 -0.094184 -0.972517 0.212932 -0.040179 -0.998571 0.035247 -0.134425 -0.988935 0.062742 0.104938 0.981244 -0.161707 0.151335 0.986059 -0.069173 0.069929 0.986197 -0.150086 0.095076 0.992657 -0.074781 -0.031932 -0.959846 0.278703 0.3959 -0.771292 0.498369 0.753955 -0.269659 0.599029 0.811465 0.345679 0.471202 0.245701 0.963498 -0.106314 0.226774 0.963215 -0.144187 -0.201856 -0.975954 0.082263 -0.144695 -0.963786 0.22401 0.238399 0.953876 -0.182445 0.263237 0.957272 -0.119739 0.137189 0.954008 0.266548 0.004047 0.860303 0.509766 -0.324412 0.82325 0.46585 -0.221133 0.946632 0.234497 0.552688 -0.819889 -0.14939 0.435697 -0.752668 -0.493618 0.365249 -0.701895 -0.611504 0.358271 0.298744 0.88453 0.369064 0.261778 0.891776 0.680582 -0.368671 0.633159 0.35026 0.27383 0.895732 -0.101362 0.652868 0.750659 -0.31403 0.712829 0.627104 0.528306 -0.819128 -0.223433 0.448996 -0.780542 -0.434921 0.341896 0.423686 0.838807 0.504935 0.340193 0.79329 0.181522 0.411952 0.892942 0.181522 0.411952 0.892942 0.465736 -0.606641 0.644264 -0.0363 0.939717 0.340021 0.06455 0.996125 -0.059741 -0.0363 0.939717 0.340021 0.286421 0.951044 -0.116095 0.288616 0.950349 -0.116354 0.275757 0.953921 -0.118292 0.150003 0.985457 -0.079833 -0.160278 0.98687 0.019962 -0.557805 0.804225 0.205125 -0.528811 0.837981 0.134713 -0.689987 0.699784 0.184985 -0.704052 0.684413 0.189445 -0.639015 0.750411 0.168948 -0.301208 0.951297 0.065638 0.321965 0.939617 -0.116016 0.978366 -0.179418 -0.103002 0.950511 -0.146462 -0.274005 0.864752 0.428163 -0.262451 0.86448 -0.440579 -0.242001 0.720676 -0.665351 -0.194768 0.631835 -0.756962 -0.166709 0.640249 -0.749264 -0.169365 0.627443 -0.760901 -0.165364 0.541996 -0.828837 -0.138816 0.434754 -0.894291 -0.105989 0.396475 -0.913174 -0.094449 0.3782 -0.921198 -0.091428 0.733887 0.635327 -0.240355 0.720343 0.687761 -0.089944 0.744559 0.62451 -0.235838 0.345736 0.9286 0.13479 0.993133 0.093733 0.070012 0.356159 0.925036 0.132136 0.187307 0.978163 -0.09007 0.502357 0.858922 0.099456 0.251333 0.962401 -0.103033 0.65335 -0.735934 0.17758 0.65112 0.755621 0.071276 0.96166 -0.25776 -0.093651 0.209729 0.846026 0.490157 0.369985 -0.806261 -0.461579 -0.486759 0.759504 0.431532 0.951681 0.185976 -0.24437 0.902737 0.332183 -0.273352 0.941165 0.315326 -0.121568 0.951681 0.185976 -0.24437 0.956675 0.290442 0.020395 0.999368 -0.03479 -0.007251 0.964422 0.229761 0.130768 0.952504 0.13236 0.274258 0.999368 -0.03479 -0.007251 0.940577 -0.003262 0.339566 0.985356 -0.047323 -0.163812 0.973149 -0.138935 0.183517 0.98634 -0.163979 0.015638 0.985356 -0.047323 -0.163812 0.800077 -0.569905 -0.187309 0.874318 -0.431977 -0.221278 0.945305 -0.32607 -0.008707 0.031586 -0.183913 0.982435 0.031586 -0.183913 0.982435 -0.030751 -0.950601 0.30889 -0.030751 -0.950601 0.30889 0.985137 -0.170059 0.024169 -0.138803 -0.672288 0.727161 -0.138803 -0.672288 0.727161 0.909257 -0.407951 -0.082632 0.909257 -0.407951 -0.082632 0.975975 0.172973 -0.132486 0.975975 0.172973 -0.132486 0.980139 0.18814 -0.062699 0.980139 0.18814 -0.062699 0.977763 -0.075286 0.195733 0.977763 -0.075286 0.195733 0.989301 -0.108793 0.097195 0.989301 -0.108793 0.097195 0.977445 0.124096 -0.170885 0.977445 0.124096 -0.170885 0.998153 0.056019 0.023506 0.998153 0.056019 0.023506 0.796335 -0.523715 0.302611 0.474101 -0.734714 0.485204 -0.961031 0.165053 0.221757 -0.966015 0.031778 0.256527 -0.974186 0.146597 0.171671 -0.972365 0.022683 0.232362 -0.984794 0.118521 0.127015 -0.97678 0.011602 0.213931 -0.992779 0.080892 0.088578 -0.980405 -0.006081 0.1969 -0.997692 0.034776 0.058321 -0.983084 -0.030932 0.180525 -0.999084 -0.01652 0.039467 -0.983546 -0.055798 0.171824 -0.996955 -0.071034 0.03217 -0.982323 -0.081459 0.168542 -0.991355 -0.12588 0.037019 -0.979425 -0.107879 0.170556 -0.982538 -0.178319 0.053122 -0.975168 -0.132497 0.177459 -0.97118 -0.224992 0.078667 -0.9699 -0.153567 0.188972 -0.957807 -0.263848 0.113978 -0.963903 -0.170188 0.204763 -0.939615 -0.29636 0.171153 -0.955655 -0.183417 0.230396 -0.916192 -0.318352 0.243403 -0.943673 -0.194814 0.26745 -0.940074 0.285894 0.18581 -0.959445 0.258862 0.111609 -0.975323 0.216319 0.04416 -0.986978 0.160325 -0.013014 -0.993968 0.093475 -0.057363 -0.996059 0.018754 -0.086686 -0.993227 -0.06055 -0.099163 -0.985628 -0.140582 -0.09367 -0.972899 -0.220345 -0.070116 -0.955697 -0.29262 -0.031897 -0.933885 -0.356815 0.023271 -0.904554 -0.412768 0.106793 -0.874187 -0.443341 0.198105 -0.904883 0.399162 0.14784 -0.930066 0.363832 0.051015 -0.950616 0.308169 -0.036885 -0.965592 0.235032 -0.111317 -0.974471 0.147814 -0.168987 -0.976979 0.05078 -0.207202 -0.973161 -0.05162 -0.224262 -0.963025 -0.155851 -0.219756 -0.94516 -0.263631 -0.192798 -0.918341 -0.367435 -0.147108 -0.884469 -0.46033 -0.076225 -0.846414 -0.531736 0.028979 -0.81683 -0.561478 0.132408 -0.856198 0.505244 0.107954 -0.886734 0.462178 -0.009715 -0.911564 0.394322 -0.116455 -0.92955 0.305236 -0.206801 -0.940103 0.199203 -0.276631 -0.942966 0.081326 -0.322801 -0.938215 -0.042948 -0.343377 -0.925514 -0.170798 -0.338011 -0.90304 -0.303133 -0.304351 -0.869126 -0.43109 -0.242446 -0.825613 -0.542663 -0.154533 -0.78679 -0.615366 -0.04782 -0.763783 -0.641746 0.069265 -0.795208 0.602633 0.06691 -0.830597 0.552504 -0.069627 -0.85928 0.473551 -0.193358 -0.879991 0.369951 -0.297914 -0.892055 0.246859 -0.378547 -0.895219 0.110198 -0.431786 -0.889617 -0.03377 -0.455457 -0.87547 -0.181874 -0.447743 -0.852671 -0.3311 -0.404135 -0.819795 -0.473097 -0.322669 -0.773161 -0.597383 -0.21297 -0.732323 -0.672114 -0.109388 -0.703802 -0.710148 0.018793 -0.723285 0.690084 0.025367 -0.762965 0.633675 -0.127835 -0.79508 0.544841 -0.266451 -0.818228 0.428382 -0.383395 -0.831653 0.290204 -0.47343 -0.835118 0.137002 -0.532737 -0.828804 -0.024239 -0.559013 -0.813771 -0.188224 -0.549862 -0.79107 -0.350428 -0.501406 -0.757687 -0.507139 -0.410755 -0.712161 -0.640658 -0.287028 -0.672656 -0.725938 0.143347 -0.641851 0.766661 -0.016075 -0.68527 0.704796 -0.183489 -0.720395 0.607414 -0.334782 -0.745674 0.479891 -0.46225 -0.760327 0.328783 -0.560182 -0.764125 0.161453 -0.624537 -0.757252 -0.014499 -0.652962 -0.740618 -0.191819 -0.643964 -0.713493 -0.368156 -0.596145 -0.67319 -0.539525 -0.505696 -0.633594 -0.66652 -0.392824 -0.552217 0.831757 -0.056883 -0.598779 0.765354 -0.236001 -0.636491 0.660838 -0.397708 -0.663675 0.524103 -0.533716 -0.679467 0.362301 -0.638015 -0.683616 0.18334 -0.706439 -0.676308 -0.004709 -0.736604 -0.658096 -0.193709 -0.72759 -0.624976 -0.385418 -0.678866 -0.57331 -0.567527 -0.590956 -0.539712 -0.669892 -0.509859 -0.455829 0.884817 -0.096532 -0.504906 0.814845 -0.284776 -0.544771 0.704701 -0.454557 -0.573584 0.560728 -0.597148 -0.59041 0.390539 -0.706325 -0.594941 0.202476 -0.777849 -0.58738 0.005005 -0.809296 -0.568315 -0.193377 -0.799765 -0.531724 -0.399254 -0.746904 -0.472063 -0.588647 -0.65624 -0.438252 -0.663694 -0.606173 -0.336649 0.931055 -0.140727 -0.387856 0.858178 -0.336301 -0.429627 0.743452 -0.512543 -0.459974 0.593597 -0.660353 -0.477869 0.416607 -0.773356 -0.482921 0.221168 -0.847273 -0.475295 0.016124 -0.879678 -0.455543 -0.189817 -0.869741 -0.417917 -0.406061 -0.812687 -0.353552 -0.60422 -0.714086 -0.307968 -0.666598 -0.678825 -0.193714 0.962913 -0.187815 -0.246267 0.8884 -0.387424 -0.288613 0.77069 -0.568101 -0.317008 0.616998 -0.720292 -0.324374 0.435579 -0.839674 -0.320365 0.248902 -0.91401 -0.326185 0.041175 -0.944409 -0.317893 -0.181748 -0.930544 -0.279515 -0.404386 -0.870829 -0.213288 -0.614544 -0.759503 -0.156721 -0.682515 -0.713871 -0.046463 0.971992 -0.230375 -0.103325 0.898972 -0.425645 -0.164362 0.783516 -0.59924 -0.218293 0.643744 -0.733446 -0.220032 0.426957 -0.877094 -0.163378 0.257767 -0.952294 -0.189104 0.091231 -0.97771 -0.196106 -0.137994 -0.970824 -0.15848 -0.395997 -0.904473 -0.068774 -0.626707 -0.776214 0.011498 -0.702817 -0.711278 0.080842 0.962059 -0.260588 -0.004368 0.897342 -0.441313 -0.108637 0.80053 -0.589364 -0.077282 0.160772 -0.983961 -0.047366 -0.005136 -0.998864 -0.055321 -0.376835 -0.924627 0.024205 -0.64051 -0.767568 0.122657 -0.746286 -0.654227 0.182989 0.944565 -0.272601 0.060296 0.892968 -0.446064 0.298773 0.913904 -0.274797 0.253313 0.891687 -0.375137 0.114854 -0.338324 -0.933994 0.102232 0.013353 -0.994671 0.151765 -0.614693 -0.774028 0.247572 -0.789545 -0.561539 0.422501 0.861523 -0.281553 0.416333 0.839555 -0.34902 0.37199 -0.274879 -0.886603 0.353485 0.017625 -0.935274 0.378321 -0.507369 -0.774242 0.386435 -0.730111 -0.563565 0.530382 0.793788 -0.297652 0.540498 0.759214 -0.362568 0.588887 -0.200332 -0.782994 0.56861 0.014756 -0.822475 0.582449 -0.344028 -0.736476 0.575726 -0.569224 -0.586961 0.65241 0.687716 -0.318445 0.658927 0.642592 -0.391012 0.527988 0.032741 -0.848621 0.572271 -0.222348 -0.789346 0.647447 -0.270239 -0.712589 0.71954 -0.352064 -0.598592 0.761452 -0.51329 -0.395884 0.588683 -0.724004 -0.359542 0.425419 -0.825843 -0.370137 0.75829 0.548346 -0.35258 0.752446 0.495489 -0.433954 0.762878 0.455469 -0.458873 0.774527 0.480972 -0.410821 -0.059483 0.299655 -0.952191 -0.090596 0.399221 -0.912368 0.036545 0.471124 -0.881309 0.07364 0.399264 -0.913874 -0.030114 0.266255 -0.963432 -0.038844 0.381241 -0.923659 -0.13284 0.509742 -0.85001 -0.066453 0.503298 -0.861554 0.001768 0.538105 -0.842876 0.050754 0.065758 -0.996544 -0.019181 0.193572 -0.980899 0.117727 0.320417 -0.939933 0.173089 0.209675 -0.962329 0.073986 0.047418 -0.996131 -0.002861 0.154045 -0.98806 0.22268 -0.189591 -0.956279 0.142047 -0.070696 -0.987332 0.235945 0.061061 -0.969846 0.284019 -0.085242 -0.955022 0.284187 -0.119522 -0.95129 0.18495 -0.046926 -0.981627 0.469944 -0.314762 -0.824668 0.324898 -0.286474 -0.901318 0.327435 -0.220891 -0.918691 0.436096 -0.251459 -0.864054 0.473624 -0.209127 -0.855538 0.371679 -0.174482 -0.911817 0.593781 -0.220328 -0.773873 0.64569 -0.038921 -0.762607 0.659388 -0.074842 -0.748068 0.577338 -0.188497 -0.794449 0.520053 -0.164818 -0.838081 0.486574 -0.003404 -0.873633 0.583694 0.350278 -0.732535 0.633952 0.167061 -0.755112 0.445809 0.172583 -0.878333 0.388775 0.329865 -0.860258 0.670839 0.324639 -0.666772 0.692093 0.11947 -0.711852 0.445222 0.577844 -0.684013 0.517686 0.479897 -0.708308 0.330597 0.433029 -0.838565 0.275479 0.50654 -0.817024 0.53871 0.612813 -0.578145 0.616696 0.484403 -0.620516 0.278003 0.744964 -0.606418 0.365453 0.664551 -0.651779 0.221829 0.57283 -0.789087 0.182217 0.632878 -0.752504 0.306851 0.80584 -0.506422 0.437533 0.722967 -0.534681 -0.077112 0.816166 -0.572649 0.125172 0.825515 -0.550324 0.121846 0.731498 -0.670868 -0.019603 0.743964 -0.667932 -0.030227 0.802231 -0.596248 0.128031 0.849287 -0.512171 -0.166759 0.672289 -0.721262 -0.074919 0.639876 -0.764817 -0.086363 0.65898 -0.747185 0.419268 0.406688 -0.811677 0.45283 0.31045 -0.835802 0.550354 0.354523 -0.755926 0.488995 0.426269 -0.761038 0.798505 0.589542 -0.121777 0.629664 0.764854 -0.136094 0.428097 0.516657 -0.741484 0.481992 0.162651 -0.860946 0.476625 0.173666 -0.861782 0.541781 -0.051837 -0.83892 0.610962 -0.026965 -0.7912 0.77405 -0.395398 -0.494477 0.920958 -0.172543 -0.349378 0.643893 0.078074 -0.761122 0.480736 0.233816 -0.845117 0.483133 0.167149 -0.859444 0.616661 0.240115 -0.749715 0.967736 0.117908 -0.222674 0.913198 0.379905 -0.147451 0.390578 0.591083 -0.705741 0.382839 0.535126 -0.753044 0.414139 0.577573 -0.70349 0.47634 0.860797 -0.179246 0.340392 0.907818 -0.24495 0.421549 0.584377 -0.693397 0.405414 0.540989 -0.736865 0.431518 0.576007 -0.694268 0.364935 0.56563 -0.739517 0.160295 0.921034 -0.354968 -0.063838 0.850342 -0.522343 0.231853 0.516573 -0.824255 -0.234963 0.674542 -0.699847 -0.263787 0.488611 -0.831671 0.143761 0.349005 -0.926028 0.121957 0.430188 -0.894463 0.244238 0.368175 -0.897104 0.286839 0.465666 -0.837185 0.431825 0.308888 -0.847417 0.349106 0.306214 -0.88564 0.242828 0.317447 -0.916658 -0.193183 0.358321 -0.913393 -0.108882 0.280328 -0.953709 0.308743 0.342271 -0.887428 0.400235 0.380025 -0.833902 0.437071 0.358464 -0.824907 0.306876 0.362809 -0.879885 -0.062544 0.201463 -0.977497 -0.04802 0.0781 -0.995788 0.266858 0.326827 -0.906626 0.350138 0.278047 -0.894479 0.354862 0.347322 -0.868009 0.255429 0.219947 -0.941477 -0.006971 -0.087812 -0.996113 0.120653 -0.291438 -0.94895 0.318338 0.07641 -0.944893 0.448609 0.180967 -0.875215 0.399034 0.212972 -0.89186 0.432397 -0.02109 -0.901437 0.342686 -0.457883 -0.820311 0.578434 -0.49519 -0.648229 0.296419 -0.000702 -0.955058 0.296419 -0.000702 -0.955058 0.172523 0.052896 -0.983584 0.172523 0.052896 -0.983584 0.039158 0.322577 -0.945733 0.039158 0.322577 -0.945733 0.047516 0.433082 -0.900101 0.047516 0.433082 -0.900101 0.073663 0.121903 -0.989805 0.073663 0.121903 -0.989805 0.020637 0.212144 -0.977021 0.020637 0.212144 -0.977021 0.424054 -0.091556 -0.900997 0.424054 -0.091556 -0.900997 0.357272 -0.03225 -0.933444 0.357272 -0.03225 -0.933444 0.012525 0.534209 -0.84526 0.012525 0.534209 -0.84526 -0.011494 0.7071 -0.707021 -0.011494 0.7071 -0.707021 0.597526 -0.131026 -0.791072 0.597526 -0.131026 -0.791072 0.505826 -0.146625 -0.850083 0.505826 -0.146625 -0.850083 0.043082 0.835064 -0.548463 0.043082 0.835064 -0.548463 0.232892 0.841802 -0.486962 0.232892 0.841802 -0.486962 0.692441 0.211038 -0.689919 0.692441 0.211038 -0.689919 0.670034 -0.002279 -0.742327 0.670034 -0.002279 -0.742327 0.395537 0.785831 -0.475416 0.395537 0.785831 -0.475416 0.511415 0.69064 -0.511342 0.511415 0.69064 -0.511342 0.608864 0.549501 -0.572131 0.608864 0.549501 -0.572131 0.665886 0.412472 -0.621662 0.665886 0.412472 -0.621662 0.267718 0.900516 0.342634 0.267718 0.900516 0.342634 0.434491 0.763425 0.477912 0.434491 0.763425 0.477912 0.869912 0.076138 0.487294 0.869912 0.076138 0.487294 0.932155 -0.229683 0.279881 0.932155 -0.229683 0.279881 0.602872 0.538559 0.588642 0.602872 0.538559 0.588642 0.752279 0.323048 0.574209 0.752279 0.323048 0.574209 -0.213672 0.974192 0.072768 -0.213672 0.974192 0.072768 0.039021 0.973056 0.227243 0.039021 0.973056 0.227243 0.840289 -0.540248 0.045233 0.840289 -0.540248 0.045233 0.606818 -0.775669 -0.17352 0.606818 -0.775669 -0.17352 -0.573632 0.648601 -0.500262 -0.573632 0.648601 -0.500262 -0.459052 0.865899 -0.198721 -0.459052 0.865899 -0.198721 0.348772 -0.845309 -0.404736 0.348772 -0.845309 -0.404736 0.044107 -0.731158 -0.680781 0.044107 -0.731158 -0.680781 -0.526631 0.262875 -0.808429 -0.526631 0.262875 -0.808429 -0.572583 0.444835 -0.688673 -0.572583 0.444835 -0.688673 -0.171813 -0.489749 -0.854767 -0.171813 -0.489749 -0.854767 -0.298216 -0.294897 -0.907801 -0.298216 -0.294897 -0.907801 -0.378075 -0.092709 -0.921121 -0.378075 -0.092709 -0.921121 -0.44719 0.096281 -0.889242 -0.44719 0.096281 -0.889242 0.612429 0.206829 -0.762989 0.464886 0.248405 -0.849809 0.407407 0.351958 -0.842701 0.648197 0.357749 -0.672202 0.671753 0.259933 -0.693674 0.260779 0.444292 -0.857088 0.266283 0.359019 -0.894538 0.239549 0.282383 -0.928911 0.456076 0.54318 -0.704947 0.484975 0.494828 -0.721072 0.523431 0.452679 -0.721874 0.154432 0.395601 -0.905345 0.17883 0.504716 -0.84456 0.266157 0.567731 -0.779001 0.193307 0.300033 -0.934138 0.427534 0.439385 -0.790035 0.307666 0.464115 -0.830626 0.465664 0.419078 -0.779442 0.586011 0.418412 -0.693919 0.376686 0.574397 -0.726757 0.72401 0.167928 -0.669036 0.615211 0.144276 -0.775048 0.538442 0.194451 -0.81992 0.755996 0.352652 -0.551458 0.765047 0.251817 -0.592698 0.104303 0.251884 -0.96212 0.084593 0.265317 -0.960443 0.005837 0.281933 -0.959416 0.438714 0.77153 -0.460728 0.549094 0.684577 -0.479427 0.639111 0.567102 -0.51955 -0.119349 0.571474 -0.811895 -0.055497 0.717664 -0.694175 0.087893 0.80095 -0.592244 -0.082255 0.383999 -0.919662 0.371981 0.25099 -0.893663 0.168173 0.254214 -0.952414 0.515832 0.244885 -0.820943 0.711746 0.448691 -0.540457 0.274747 0.816832 -0.507247 0.645705 0.281916 -0.70964 0.539281 0.220414 -0.812769 0.769022 0.394085 -0.503292 0.726749 0.338639 -0.597628 0.910687 0.132665 0.391214 0.999599 0.019627 0.020427 0.95412 0.024299 0.298438 0.445708 0.894704 -0.029136 0.965917 0.00636 -0.258774 0.63813 0.749781 -0.174984 0.564478 0.808758 -0.165152 0.955888 0.074409 -0.28415 0.833027 -0.550995 -0.049699 0.747769 -0.638876 -0.180774 0.496269 -0.862279 -0.100952 -0.207933 0.848115 -0.487303 0.067624 0.763984 -0.641681 0.12728 0.626188 -0.769213 -0.218784 0.728379 -0.649305 0.477035 0.407812 -0.778542 0.477035 0.407812 -0.778542 0.017333 -0.981177 -0.192329 0.100697 -0.980826 -0.166857 0.066985 -0.985016 -0.158922 0.066985 -0.985016 -0.158922 0.113176 -0.977596 -0.177477 0.113176 -0.977596 -0.177477 0.260639 0.584649 -0.768279 0.260639 0.584649 -0.768279 0.016554 0.67435 -0.738226 -0.106362 0.750404 -0.652366 -0.106362 0.750404 -0.652366 -0.052394 0.836039 -0.546163 0.073173 0.824552 -0.561034 -0.11046 0.686583 -0.718611 -0.155032 0.743111 -0.650962 -0.209657 0.806439 -0.552901 -0.277141 0.74834 -0.602644 -0.254322 0.755762 -0.603444 -0.358109 0.092557 -0.929081 -0.250923 0.673348 -0.695442 -0.112663 0.603179 -0.789609 -0.09202 0.089713 -0.991708 0.154625 0.382352 -0.910988 0.205405 -0.026468 -0.978319 -0.072607 -0.353019 -0.932795 -0.315135 -0.516218 -0.796372 0.137801 -0.96591 -0.219155 -0.147037 -0.862058 -0.485012 0.15353 -0.866566 -0.474859 0.229098 -0.817711 -0.528075 0.125194 -0.964684 -0.231758 0.055128 -0.985656 -0.159509 0.133227 -0.975043 -0.1776 0.08158 0.845691 -0.5274 0.078804 0.875247 -0.477213 -0.135909 0.78308 -0.606889 -0.14307 0.731129 -0.667069 0.652262 -0.134271 -0.746006 0.728452 -0.084587 -0.679855 0.489926 -0.423017 -0.762253 0.604152 0.140091 -0.784458 0.789901 0.036981 -0.612119 0.511155 -0.597093 -0.618224 0.41548 -0.442463 -0.794735 0.053874 -0.927755 -0.369281 0.152238 -0.796477 -0.58519 0.917433 -0.01634 -0.397554 0.60325 -0.699086 -0.383887 0.029478 -0.980033 -0.196639 0.188278 0.863211 -0.468421 0.734878 0.361526 -0.573806 0.645074 0.228829 -0.729052 0.011092 0.714503 -0.699544 0.528285 0.032629 -0.84844 -0.123905 0.526586 -0.841044 0.709036 -0.679127 0.189881 0.54884 -0.680148 0.485977 0.696633 -0.536154 0.476698 0.937025 0.142119 0.319041 0.883729 -0.390989 0.257199 0.771856 0.621298 -0.135006 0.80244 -0.582305 -0.130427 0.360455 0.931906 0.040288 0.246781 0.968966 0.014261 0.199409 0.979909 0.003657 0.20259 0.97835 0.042279 0.297397 0.954751 0.002279 0.296878 0.953346 -0.054732 -0.448272 0.750301 -0.485901 -0.299256 0.711329 -0.635969 -0.449932 0.662013 -0.599417 -0.604373 0.702658 -0.375506 0.543677 -0.837776 -0.05046 0.41825 -0.908309 0.006481 0.525642 -0.828016 0.195167 0.513327 -0.837473 0.187441 0.632445 -0.690176 0.351668 0.562937 -0.723503 0.399556 0.270888 -0.860723 -0.431018 0.466072 -0.760826 -0.451575 0.785817 -0.470274 -0.401664 0.806986 0.379916 -0.452147 0.311722 -0.406116 -0.859011 0.08011 -0.476468 -0.875534 0.492226 -0.783275 0.379728 0.564196 -0.75938 0.324076 0.615425 -0.747397 0.250297 0.467281 -0.880804 -0.076373 0.423525 -0.905139 -0.036738 0.388235 -0.921287 -0.022439 -0.638353 0.671458 -0.376365 -0.642083 0.670375 -0.371923 -0.527289 0.635121 -0.564436 -0.53912 0.609156 -0.581618 -0.499354 0.673213 -0.545371 -0.620665 0.681581 -0.387585 0.724403 -0.679107 -0.118553 0.808578 -0.568186 -0.152862 0.76273 -0.645516 0.039393 0.719046 -0.694329 0.029644 0.704086 -0.666952 0.243799 0.68063 -0.673335 0.288725 0.675478 -0.668555 0.311069 0.688796 -0.721756 0.068031 0.678689 -0.726051 -0.110594 0.590821 -0.659388 -0.464906 0.324614 -0.335183 -0.884465 0.389368 -0.193616 -0.900503 0.677507 -0.584788 -0.446103 0.811911 -0.403641 -0.421752 -0.702864 0.705439 -0.091315 -0.699069 0.693346 0.174852 -0.698884 0.694843 0.169571 -0.697074 0.711711 -0.08692 -0.629707 0.772938 0.077689 -0.630257 0.757744 -0.169115 0.665495 -0.718329 0.202779 0.637554 -0.7383 0.220087 0.650398 -0.741869 0.163133 0.619906 -0.781037 -0.075482 0.62189 -0.772088 -0.130895 0.619404 -0.767547 -0.164959 -0.428525 0.808484 -0.403384 -0.344282 0.922494 -0.174568 0.841854 -0.487833 -0.230867 0.838993 -0.458769 -0.292613 0.718357 -0.682624 -0.134116 0.750372 -0.66081 -0.016469 -0.004385 -0.980634 -0.195802 0.11327 -0.803082 -0.585003 0.033162 -0.790045 -0.612151 -0.142029 -0.978203 -0.151482 0.398848 0.500353 -0.768484 0.284867 0.522124 -0.803889 0.240759 -0.182234 -0.953324 0.326055 -0.256882 -0.90978 0.106126 0.992625 0.058596 0.101925 0.991712 -0.078227 0.185058 0.981762 0.043548 0.161241 0.98316 0.086007 0.203627 0.976108 0.075821 -0.181266 -0.979622 -0.086502 -0.058418 -0.989239 -0.134139 0.18691 0.981774 0.034418 0.16088 0.98655 0.028917 -0.164751 -0.970502 -0.176023 0.075477 -0.797038 -0.599194 0.41959 0.332341 -0.844685 0.322606 -0.288805 -0.901397 0.338129 0.937695 -0.079978 0.299596 0.953203 -0.040569 -0.230271 -0.970692 -0.068787 0.273756 0.960659 -0.046809 -0.093554 0.935084 -0.341855 -0.357811 0.927392 -0.109158 -0.580229 0.784645 -0.218327 -0.370232 0.823908 -0.429073 0.555442 -0.82035 -0.136052 0.648256 -0.730721 0.214037 0.665073 -0.670138 0.329534 -0.177345 0.255741 -0.950339 0.237945 -0.404121 -0.883215 -0.171659 0.218398 -0.960643 -0.191232 0.22974 -0.95428 -0.611039 0.688951 -0.389844 -0.497376 0.621066 -0.605717 0.578572 -0.812132 -0.075471 0.636769 -0.760919 0.124606 -0.168096 0.382717 -0.908445 -0.01579 0.29859 -0.954251 -0.354497 0.372019 -0.857866 -0.354497 0.372019 -0.857866 0.030753 -0.642052 -0.766044 -0.28865 0.899627 -0.327645 -0.28865 0.899627 -0.327645 -0.590748 0.801531 0.092551 0.882451 -0.187177 -0.431561 0.631213 0.690214 -0.3538 0.716773 0.651128 -0.249539 0.810085 0.079366 -0.580916 0.218435 0.918014 -0.330963 0.140919 0.983259 -0.115515 0.178425 0.905077 -0.386006 0.364259 0.817074 -0.446884 0.299785 0.939825 -0.163886 0.464631 -0.750462 -0.470027 0.536199 0.720631 -0.439525 0.864301 -0.265631 -0.427112 -0.127859 0.902899 -0.410396 0.648779 -0.746777 0.14632 -0.65206 0.746179 -0.134292 0.932257 0.179954 -0.313868 0.932257 0.179954 -0.313868 0.85443 0.301563 -0.423095 0.797829 0.26596 -0.541049 0.873116 -0.177098 -0.454207 0.873116 -0.177098 -0.454207 0.649289 0.072699 -0.757059 0.753442 0.191783 -0.628923 0.6043 -0.0704 -0.793641 0.921298 -0.001363 -0.388856 0.921298 -0.001363 -0.388856 0.805464 -0.09727 -0.584608 0.710857 -0.181827 -0.679427 0.859553 -0.250977 -0.445172 -0.504833 -0.252405 -0.825491 -0.504833 -0.252405 -0.825491 -0.176988 -0.95937 -0.219738 -0.176988 -0.95937 -0.219738 0.838581 -0.043777 -0.543014 -0.50884 -0.695521 -0.507279 -0.50884 -0.695521 -0.507279 0.843621 -0.371969 -0.387224 0.843621 -0.371969 -0.387224 0.897769 0.154532 -0.41247 0.897769 0.154532 -0.41247 0.883068 0.157461 -0.442037 0.883068 0.157461 -0.442037 0.71598 -0.20424 -0.667576 0.71598 -0.20424 -0.667576 0.84052 -0.139279 -0.523572 0.84052 -0.139279 -0.523572 0.889164 0.201883 -0.410647 0.889164 0.201883 -0.410647 0.844759 0.094819 -0.526679 0.844759 0.094819 -0.526679 0.516769 -0.546521 -0.658988 0.137687 -0.761356 -0.633545 -0.073521 0.769689 -0.634171 -0.902895 -0.325759 0.280467 -0.936415 -0.200727 0.287811 -0.858832 -0.448083 0.248252 -0.80054 -0.564124 0.202238 -0.740856 -0.649577 0.170825 -0.640499 -0.727822 0.245023 -0.852262 -0.443442 0.277505 -0.785146 -0.561254 0.261802 -0.709343 -0.657204 0.254784 0.578683 -0.759785 0.2964 -0.000115 -0.99999 -0.004589 -0.00051 -0.999977 -0.006811 -3.4e-005 -0.999995 -0.003095 -0.0006 -0.999998 -0.001658 0.001309 -0.999998 0.001288 -0.003465 -0.999976 -0.006061 -0.004195 -0.999979 -0.004981 -0.000633 -0.99997 -0.007748 -0.001948 -0.999974 -0.00693 -6e-006 -0.999971 -0.007673 -0.00264 -0.99998 -0.005704 -6.6e-005 -0.999967 -0.008151 -0.00142 -0.999996 -0.002481 0.003645 -0.999993 4.6e-005 -0.002686 -0.999991 0.003221 0.002724 -0.999944 0.010221 0.004946 -0.999932 0.010546 0.006765 -0.99992 0.010688 0.004595 -0.999966 0.006817 0.001146 -0.999997 0.002298 -0.004822 -0.999982 0.003527 -0.003588 -0.999964 0.00771 -0.00298 -0.999888 0.014663 -0.001243 -0.999863 0.016531 0.001848 -0.999933 0.011451 -0.004415 -0.999984 0.003674 0.001118 -0.999907 0.013595 0.001334 -0.999999 -0.000699 -0.00033 -1 -0.000292</float_array> + <technique_common> + <accessor count="2290" offset="0" source="#LOD3spShape-lib-normals-array" stride="3"> + <param name="X" type="float"/> + <param name="Y" type="float"/> + <param name="Z" type="float"/> + </accessor> + </technique_common> + </source> + <source id="LOD3spShape-lib-map1" name="map1"> + <float_array id="LOD3spShape-lib-map1-array" count="4554">0.245158 0.423975 0.25011 0.468112 0.150442 0.543685 0.148569 0.498875 0.302841 0.416173 0.345064 0.636086 0.339502 0.673242 0.260986 0.672117 0.283208 0.642063 0.331126 0.714598 0.241009 0.71553 0.233372 0.762934 0.302959 0.373132 0.224027 0.289653 0.23558 0.359702 0.143764 0.429085 0.134156 0.320572 0.298228 0.319321 0.288073 0.263566 0.326898 0.757163 0.328393 0.797118 0.23841 0.805793 0.60087 0.640918 0.866606 0.398924 0.510699 0.676291 0.517366 0.634965 0.871384 0.397619 0.505796 0.719121 0.878048 0.397558 0.87416 0.398826 0.86606 0.397625 0.86057 0.399008 0.501279 0.762876 0.856321 0.39906 0.497144 0.804816 0.862375 0.397683 0.860024 0.397676 0.853776 0.399148 0.494669 0.842655 0.936097 0.40457 0.495808 0.877438 0.932361 0.401286 0.944998 0.401429 0.333511 0.830512 0.255441 0.838224 0.335539 0.859065 0.275714 0.857682 0.13703 0.645509 0.099669 0.709478 0.072436 0.710311 0.114209 0.64461 0.217381 0.600094 0.193334 0.589335 0.083907 0.774978 0.093256 0.834193 0.067488 0.842396 0.056643 0.778851 0.948825 0.405179 0.543475 0.557405 0.5578 0.533271 0.685834 0.551732 0.928618 0.398828 0.939922 0.398832 0.318062 0.571086 0.304302 0.551225 0.870712 0.401462 0.862287 0.401557 0.855482 0.401642 0.85836 0.405349 0.85103 0.405417 0.86725 0.404976 0.851008 0.401767 0.84805 0.401779 0.618068 0.949096 0.595914 0.442419 0.701364 0.36472 0.704143 0.312403 0.595493 0.387203 0.757075 0.288915 0.749567 0.262372 0.79867 0.019963 0.720188 0.090411 0.342229 0.232442 0.353643 0.285267 0.846214 0.405443 0.84246 0.405195 0.945825 0.3988 0.51556 0.94314 0.529717 0.959537 0.951482 0.401365 0.955814 0.405156 0.355112 0.336459 0.416748 0.23909 0.409212 0.301844 0.412385 0.174765 0.722678 0.141004 0.371257 0.129527 0.316583 0.183819 0.278107 0.146712 0.815355 0.094326 0.586596 0.164171 0.31201 0.090946 0.272238 0.213152 0.591566 0.221736 0.775513 0.183818 0.258385 0.177707 0.714664 0.225413 0.594393 0.311859 0.803506 0.201004 0.853165 0.100422 0.240207 0.064107 0.220228 0.127313 0.134162 0.116701 0.137886 0.045291 0.20962 0.176711 0.132836 0.176022 0.393776 0.367451 0.346805 0.380154 0.21424 0.228892 0.133514 0.241035 0.127886 0.880246 0.194162 0.909528 0.176891 0.924466 0.105635 0.892789 0.298575 0.918513 0.289302 0.932026 0.41004 0.927663 0.412647 0.940987 0.152917 0.714025 0.188039 0.660899 0.251002 0.622891 0.148083 0.821618 0.139091 0.770988 0.529124 0.59406 0.624566 0.605374 0.943792 0.414167 0.33386 0.602351 0.939709 0.408955 0.951716 0.40979 0.95394 0.414936 0.863781 0.409841 0.854643 0.410095 0.847079 0.410021 0.50373 0.914675 0.043999 0.560029 0.039161 0.51728 0.035514 0.442488 0.02836 0.327681 0.57657 0.399149 0.579657 0.45714 0.483058 0.467543 0.484696 0.402538 0.027211 0.11532 0.026409 0.041836 0.027231 0.176259 0.027041 0.244825 0.496033 0.232082 0.498386 0.171519 0.545104 0.178866 0.55478 0.242428 0.486973 0.320445 0.572701 0.32584 0.253473 0.42034 0.198325 0.471074 0.201641 0.514357 0.257191 0.464291 0.304409 0.414784 0.305266 0.371658 0.230885 0.286168 0.167912 0.306331 0.188981 0.401339 0.242536 0.354324 0.300813 0.31779 0.290984 0.262458 0.644363 0.422582 0.643061 0.366324 0.70337 0.314326 0.703499 0.366966 0.745969 0.26707 0.75382 0.293297 0.343946 0.231017 0.355397 0.284532 0.356783 0.335152 0.414764 0.29281 0.419941 0.236001 0.413771 0.173263 0.370421 0.125545 0.313385 0.086563 0.282902 0.142155 0.319456 0.18046 0.261679 0.175104 0.275739 0.211488 0.247515 0.05956 0.175872 0.043369 0.166908 0.113803 0.230266 0.122298 0.162066 0.173298 0.220575 0.173418 0.399643 0.347472 0.348371 0.378515 0.850892 0.415208 0.23283 0.882474 0.174218 0.860862 0.318561 0.890705 0.412205 0.900441 0.414872 0.864697 0.414169 0.832004 0.413463 0.796679 0.414763 0.757 0.418623 0.715141 0.424042 0.67374 0.797949 0.022112 0.816816 0.093012 0.720595 0.147032 0.715991 0.092651 0.636546 0.210325 0.627672 0.148444 0.772502 0.189202 0.711355 0.231084 0.641706 0.289174 0.223314 0.226619 0.162858 0.235961 0.139391 0.505963 0.140772 0.546375 0.105327 0.324975 0.131454 0.436403 0.855305 0.0942 0.800674 0.205793 0.103269 0.042003 0.100779 0.11305 0.099208 0.173793 0.099637 0.242841 0.428561 0.633258 0.429426 0.594048 0.429051 0.559095 0.429259 0.535162 0.35272 0.639241 0.294558 0.645659 0.274212 0.673847 0.348213 0.675519 0.253789 0.714174 0.339072 0.715472 0.241562 0.759109 0.241492 0.801977 0.330569 0.796358 0.332348 0.756954 0.843668 0.414845 0.519216 0.636196 0.513483 0.677706 0.858319 0.415536 0.509018 0.719971 0.595108 0.724198 0.959154 0.409842 0.961426 0.415077 0.955396 0.420505 0.503982 0.762367 0.946551 0.419988 0.498249 0.80295 0.581926 0.813498 0.948394 0.426244 0.956245 0.426562 0.493564 0.840197 0.962774 0.420748 0.49337 0.874734 0.5689 0.884732 0.963626 0.426902 0.947821 0.439136 0.254385 0.836095 0.333265 0.830744 0.334347 0.859927 0.274272 0.857068 0.111374 0.707428 0.160452 0.654158 0.126019 0.649524 0.074711 0.707898 0.232092 0.611555 0.203545 0.598866 0.085639 0.828171 0.086444 0.767612 0.053832 0.770468 0.05904 0.833261 0.5406 0.554531 0.653253 0.57169 0.949156 0.432796 0.552741 0.532581 0.956416 0.432776 0.955188 0.438695 0.321928 0.578317 0.3053 0.558373 0.963377 0.433055 0.962074 0.438861 0.939469 0.450342 0.944673 0.445101 0.952905 0.444195 0.949616 0.449137 0.959891 0.444199 0.95721 0.449055 0.928445 0.45763 0.933041 0.454385 0.647892 0.957038 0.945196 0.453364 0.513713 0.938992 0.528694 0.953445 0.940767 0.456994 0.954246 0.453493 0.191556 0.905473 0.119561 0.876603 0.09609 0.886393 0.173642 0.917872 0.296111 0.916924 0.285563 0.930752 0.407594 0.925155 0.699705 0.808301 0.767751 0.813767 0.770203 0.857847 0.710393 0.859091 0.67046 0.86001 0.652167 0.800156 0.732575 0.902022 0.706983 0.910753 0.776574 0.894725 0.709069 0.706824 0.772884 0.721001 0.769128 0.766819 0.69961 0.756109 0.650715 0.739559 0.665169 0.685443 0.747389 0.629544 0.781976 0.645207 0.777571 0.679447 0.726035 0.663915 0.69251 0.641696 0.7256 0.608173 0.800842 0.598447 0.800844 0.613722 0.782354 0.62203 0.77064 0.606739 0.761516 0.586356 0.801211 0.57812 0.833474 0.606525 0.843418 0.585771 0.884582 0.608278 0.861681 0.62927 0.826927 0.645008 0.821482 0.621769 0.901508 0.709495 0.841154 0.721344 0.835351 0.679466 0.88519 0.664947 0.920582 0.64464 0.946246 0.692573 0.905321 0.811872 0.840491 0.814502 0.842749 0.767471 0.908491 0.759591 0.957769 0.748636 0.953229 0.808266 0.87648 0.901039 0.832824 0.894364 0.83647 0.858222 0.893987 0.860506 0.934495 0.863509 0.904941 0.908789 0.811165 0.93926 0.808557 0.928096 0.833115 0.918674 0.850764 0.928355 0.866017 0.939324 0.815782 0.955298 0.781351 0.919619 0.767445 0.930389 0.756778 0.947206 0.874321 0.260529 0.87457 0.258357 0.870642 0.262514 0.870232 0.260129 0.875205 0.262091 0.87418 0.274349 0.878088 0.275377 0.879128 0.284194 0.875282 0.284248 0.876451 0.268146 0.87176 0.26763 0.879196 0.270887 0.875496 0.265391 0.893101 0.28442 0.892287 0.271326 0.879947 0.284131 0.862255 0.219399 0.877309 0.242158 0.869772 0.241647 0.855575 0.218438 0.862432 0.239621 0.84944 0.210845 0.867315 0.244511 0.849901 0.240235 0.863194 0.266321 0.876212 0.265675 0.880423 0.283451 0.866718 0.283089 0.870498 0.254293 0.863904 0.253791 0.870234 0.270504 0.864805 0.270607 0.879852 0.25405 0.878645 0.27023 0.884908 0.221559 0.894641 0.243235 0.885819 0.242521 0.87478 0.219802 0.853855 0.205189 0.868038 0.204565 0.870975 0.210424 0.856654 0.209577 0.882303 0.208527 0.885027 0.21281 0.869343 0.207181 0.855354 0.205901 0.879862 0.246326 0.872817 0.221463 0.859409 0.2185 0.885826 0.225344 0.891813 0.248223 0.886742 0.266822 0.897889 0.269881 0.890434 0.283337 0.902191 0.283202 0.887267 0.269985 0.888486 0.253806 0.897003 0.253871 0.897865 0.269734 0.890567 0.21382 0.890889 0.214313 0.887336 0.211472 0.940502 0.247339 0.935827 0.245027 0.948386 0.259727 0.952135 0.261243 0.929477 0.246937 0.935892 0.257903 0.955141 0.271935 0.951237 0.271687 0.951697 0.282445 0.956107 0.282705 0.939971 0.271031 0.941535 0.28252 0.963745 0.266939 0.955791 0.248173 0.96377 0.246708 0.971434 0.266214 0.948554 0.235961 0.955224 0.234835 0.896396 0.245174 0.886107 0.251776 0.887306 0.25714 0.901578 0.253513 0.893935 0.234459 0.893306 0.241625 0.88488 0.259333 0.895682 0.256287 0.898524 0.274248 0.887363 0.275119 0.885952 0.26722 0.897217 0.265981 0.888292 0.284017 0.899782 0.283788 0.893557 0.224473 0.903384 0.244263 0.904117 0.226402 0.909834 0.245212 0.898452 0.232315 0.90536 0.242289 0.914901 0.24109 0.908475 0.23147 0.912117 0.251402 0.92111 0.249824 0.905103 0.223634 0.894105 0.223477 0.891627 0.223783 0.892209 0.224715 0.894785 0.217728 0.904032 0.218825 0.905292 0.26092 0.916745 0.259188 0.925679 0.257542 0.919312 0.270264 0.927598 0.269904 0.909165 0.270372 0.922229 0.248254 0.923018 0.231732 0.931448 0.236491 0.927474 0.250713 0.939132 0.243721 0.931475 0.252998 0.941395 0.236759 0.941774 0.24318 0.951181 0.24757 0.953028 0.242625 0.943442 0.249961 0.949719 0.251412 0.932269 0.241398 0.935522 0.24909 0.930136 0.234395 0.929446 0.228394 0.942151 0.230847 0.942787 0.227016 0.929372 0.224433 0.954848 0.237908 0.922857 0.256527 0.927955 0.258098 0.929776 0.270263 0.925166 0.269641 0.93313 0.259066 0.935431 0.270899 0.938091 0.256867 0.945703 0.257403 0.953024 0.257866 0.948714 0.269472 0.957575 0.269677 0.940805 0.269454 0.944953 0.253898 0.950208 0.269278 0.961307 0.253711 0.957956 0.256418 0.964661 0.269455 0.96896 0.268209 0.902892 0.249987 0.897745 0.228849 0.908596 0.231834 0.912735 0.252197 0.897122 0.224227 0.89485 0.22181 0.90624 0.226903 0.908607 0.228742 0.903082 0.242361 0.906809 0.256103 0.917237 0.255133 0.919494 0.264606 0.908311 0.265315 0.907454 0.269025 0.916487 0.269043 0.911531 0.283044 0.919593 0.2829 0.909419 0.273405 0.911476 0.28336 0.920571 0.273041 0.922157 0.283218 0.922114 0.255039 0.920062 0.238863 0.921052 0.234472 0.923775 0.23538 0.929369 0.253983 0.934895 0.263753 0.927988 0.282737 0.92516 0.269608 0.937386 0.272947 0.938515 0.283177 0.906903 0.269654 0.905634 0.25451 0.912156 0.254648 0.915624 0.269303 0.934262 0.269581 0.931993 0.256855 0.928513 0.24901 0.928512 0.223212 0.917128 0.220406 0.916725 0.220767 0.9041 0.217973 0.914088 0.228391 0.916363 0.246441 0.918617 0.23227 0.923487 0.240784 0.938248 0.22777 0.892821 0.216321 0.844542 0.206031 0.874322 0.212263 0.870581 0.286403 0.864795 0.285932 0.877377 0.285736 0.887924 0.285532 0.898823 0.285311 0.908672 0.285115 0.917425 0.284957 0.921216 0.269224 0.922914 0.284906 0.926665 0.284912 0.930758 0.284928 0.936388 0.28496 0.952837 0.284936 0.967867 0.284724 0.971593 0.266723 0.976556 0.284338 0.976161 0.284497 0.973686 0.284223 0.968029 0.284169 0.960033 0.284154 0.950775 0.284138 0.942494 0.284121 0.936182 0.284123 0.929809 0.284158 0.920968 0.284223 0.910111 0.284292 0.952943 0.272204 0.950019 0.262148 0.953976 0.282879 0.900909 0.229617 0.889642 0.217102 0.912068 0.234085 0.913562 0.243735 0.925227 0.239763 0.92311 0.245509 0.916786 0.225007 0.940372 0.24984 0.963568 0.250138 0.888081 0.264217 0.918118 0.254988 0.844126 0.209259 0.844951 0.221286 0.886769 0.216308 0.872985 0.215718 0.879346 0.309871 0.875833 0.306046 0.875654 0.308144 0.879007 0.306407 0.876295 0.294136 0.878977 0.293033 0.879812 0.300399 0.876175 0.301094 0.880254 0.30345 0.882198 0.297454 0.893175 0.297687 0.865817 0.349629 0.859181 0.350621 0.872916 0.327332 0.880252 0.326495 0.865713 0.330422 0.852822 0.359205 0.869257 0.322943 0.877097 0.301439 0.864055 0.301093 0.852819 0.327816 0.866118 0.317194 0.872679 0.31623 0.865658 0.301152 0.871305 0.301562 0.879516 0.300927 0.881998 0.315802 0.888262 0.347411 0.878301 0.348969 0.888479 0.326114 0.897047 0.325511 0.857019 0.363938 0.860381 0.359999 0.874655 0.358691 0.872015 0.364197 0.888629 0.3558 0.886097 0.359632 0.872907 0.361011 0.858128 0.36229 0.881706 0.320824 0.862423 0.349295 0.875903 0.346079 0.888714 0.341972 0.893556 0.318638 0.898554 0.296744 0.887564 0.300041 0.888147 0.300674 0.898715 0.300283 0.89883 0.31539 0.89048 0.315686 0.894383 0.353795 0.894065 0.354129 0.890921 0.356254 0.942171 0.318343 0.9529 0.304272 0.949521 0.305533 0.937705 0.320863 0.937122 0.30759 0.931259 0.318903 0.955735 0.293528 0.951772 0.293299 0.940544 0.294181 0.964624 0.302435 0.972337 0.302695 0.965634 0.321964 0.957594 0.320997 0.957663 0.333351 0.950951 0.332759 0.897685 0.323309 0.904388 0.314564 0.887892 0.312338 0.888936 0.316243 0.699423 0.809253 0.710111 0.860044 0.769921 0.8588 0.767468 0.81472 0.651885 0.801109 0.669688 0.860514 0.732293 0.902975 0.706453 0.911484 0.776292 0.895678 0.708787 0.707777 0.699329 0.757062 0.768846 0.767772 0.772602 0.721954 0.664887 0.686395 0.650433 0.740512 0.747107 0.630497 0.725753 0.664868 0.777288 0.6804 0.781693 0.64616 0.725318 0.609127 0.692228 0.642648 0.80056 0.5994 0.770358 0.607692 0.782072 0.622983 0.800562 0.614675 0.800928 0.579073 0.761234 0.587309 0.833192 0.607478 0.861399 0.630223 0.8843 0.609231 0.843136 0.586725 0.8212 0.622722 0.826645 0.645961 0.901226 0.710448 0.884907 0.6659 0.835069 0.680418 0.840872 0.722297 0.945964 0.693526 0.920299 0.645594 0.905039 0.812825 0.908209 0.760544 0.842467 0.768423 0.840209 0.815454 0.952947 0.809219 0.957487 0.749588 0.876198 0.901993 0.893705 0.861459 0.836187 0.859175 0.832541 0.895317 0.904659 0.909742 0.934213 0.864462 0.810883 0.940213 0.850482 0.929308 0.832833 0.919627 0.808275 0.929049 0.815494 0.955807 0.865735 0.940277 0.767163 0.931342 0.781069 0.920572 0.878641 0.308129 0.757688 0.947696 0.89571 0.326063 0.896265 0.333541 0.887647 0.308911 0.896958 0.311973 0.898883 0.293285 0.897963 0.301935 0.887703 0.301029 0.887878 0.29293 0.905567 0.324686 0.896731 0.344468 0.906991 0.342485 0.911791 0.324251 0.900908 0.335596 0.911043 0.336295 0.917143 0.326675 0.907054 0.325968 0.923285 0.31808 0.915184 0.316034 0.908088 0.344187 0.897103 0.344536 0.894607 0.344154 0.895142 0.343144 0.898106 0.350443 0.90726 0.349181 0.907871 0.308374 0.918398 0.309598 0.927049 0.310818 0.928305 0.298442 0.920004 0.298182 0.909927 0.298243 0.924036 0.321254 0.929162 0.318872 0.933826 0.332572 0.925629 0.337191 0.941158 0.32555 0.933051 0.316658 0.943727 0.330971 0.955075 0.325269 0.952983 0.320359 0.943791 0.324629 0.951332 0.316568 0.945126 0.31796 0.937248 0.318798 0.934373 0.326359 0.932584 0.333273 0.932192 0.3393 0.932318 0.343421 0.945607 0.340893 0.944776 0.336887 0.957129 0.33006 0.924262 0.313255 0.925922 0.300164 0.930502 0.299579 0.929283 0.311724 0.936126 0.298969 0.93441 0.310774 0.939442 0.311396 0.947027 0.310849 0.954323 0.310334 0.958291 0.298597 0.94944 0.298819 0.941532 0.298832 0.946483 0.315703 0.950981 0.300512 0.962811 0.314479 0.969751 0.300159 0.965388 0.298807 0.959326 0.311738 0.904541 0.316598 0.900452 0.33816 0.911146 0.334819 0.914268 0.314088 0.900043 0.343367 0.910827 0.338483 0.909045 0.340214 0.897918 0.345703 0.907714 0.311836 0.905082 0.324826 0.918749 0.311513 0.909052 0.30192 0.920236 0.301846 0.91718 0.297035 0.908155 0.297332 0.909931 0.29344 0.92041 0.293444 0.923496 0.310879 0.922253 0.327378 0.925923 0.331262 0.923469 0.332076 0.930583 0.312153 0.934974 0.302503 0.925817 0.29614 0.93758 0.293425 0.907706 0.300101 0.916398 0.300537 0.913653 0.315103 0.907277 0.314776 0.934984 0.298714 0.933344 0.311407 0.930312 0.318902 0.931529 0.345055 0.919853 0.347075 0.920283 0.347817 0.907379 0.350402 0.918259 0.323025 0.916863 0.340467 0.921166 0.335346 0.925584 0.327014 0.941044 0.340685 0.896265 0.352186 0.847118 0.363087 0.877923 0.355511 0.921992 0.300554 0.972463 0.301867 0.950828 0.303658 0.953466 0.293583 0.892951 0.350759 0.90326 0.337983 0.915596 0.322974 0.91417 0.333036 0.927312 0.326701 0.92504 0.320904 0.919699 0.342662 0.941871 0.316003 0.965254 0.318221 0.889956 0.306147 0.919598 0.314755 0.845891 0.359181 0.847322 0.346695 0.890112 0.35133 0.87636 0.352039 0.950166 0.457401 0.877438 0.456074 0.890333 0.455013 0.891902 0.457826 0.881771 0.45805 0.893433 0.460126 0.885457 0.459788 0.90216 0.458193 0.902038 0.46051 0.902093 0.455956 0.869348 0.456995 0.875073 0.458463 0.870949 0.459563 0.865831 0.459946 0.88002 0.459819 0.876379 0.459992 0.890696 0.462723 0.889158 0.462546 0.893089 0.46287 0.842115 0.409869 0.837426 0.409453 0.838646 0.414482 0.833434 0.414204 0.847163 0.42056 0.840709 0.41957 0.839445 0.430603 0.83503 0.428579 0.852464 0.422383 0.843659 0.433436 0.835601 0.419062 0.830596 0.418889 0.831257 0.427506 0.827802 0.427141 0.876435 0.450731 0.866399 0.449489 0.869211 0.447456 0.878828 0.448367 0.861778 0.461251 0.86329 0.45579 0.869445 0.454182 0.919848 0.462088 0.9244 0.459418 0.936505 0.460001 0.932799 0.462552 0.914853 0.457033 0.912969 0.45878 0.983064 0.742705 0.970242 0.681277 0.978343 0.807461 0.961861 0.871181 0.925 0.920764 0.93957 0.629718 0.896636 0.591965 0.87816 0.953598 0.820182 0.969676 0.849136 0.56846 0.801508 0.561342 0.753635 0.961316 0.693916 0.922274 0.756457 0.570463 0.715065 0.59271 0.62759 0.729278 0.628526 0.797321 0.647916 0.672373 0.648988 0.865355 0.678001 0.627321 0.970524 0.680324 0.983346 0.741752 0.978626 0.806509 0.962143 0.870229 0.925282 0.919811 0.896919 0.591012 0.939853 0.628765 0.878442 0.952645 0.819304 0.969461 0.80179 0.560389 0.849419 0.567507 0.753465 0.960832 0.694447 0.921544 0.715348 0.591757 0.756739 0.569509 0.628808 0.796368 0.627873 0.728326 0.648199 0.671421 0.648584 0.866073 0.678283 0.626368 0.411737 0.936637 0.212659 0.665019 0.175067 0.711347 0.264355 0.628942 0.154113 0.763611 0.154483 0.81452 0.911051 0.461039 0.528987 0.594894 0.945951 0.460521 0.339791 0.607004 0.94197 0.46307 0.896594 0.462992 0.902819 0.462828 0.939147 0.46498 0.588358 0.917245 0.930869 0.464578 0.500784 0.908814 0.937502 0.466649 0.178893 0.855096 0.23388 0.878659 0.317203 0.888741 0.409219 0.897533 0.412456 0.865776 0.413517 0.832907 0.415303 0.797177 0.41903 0.758087 0.424284 0.717135 0.429773 0.675932 0.433166 0.635493 0.431719 0.596003 0.42845 0.560105 0.426262 0.535529 0.166927 0.932027 0.089131 0.90146 0.412839 0.954955 0.280654 0.94225 0.092604 0.643694 0.172265 0.583534 0.034269 0.783775 0.048602 0.713913 0.288973 0.53753 0.047197 0.849027 0.9297 0.466322 0.910929 0.462701 0.429574 0.516361 0.573602 0.514995 0.911763 0.464455 0.904647 0.46452 0.91245 0.466086 0.906026 0.466148 0.920833 0.464349 0.682918 0.980037 0.544365 0.975068 0.92089 0.466118 0.274953 0.94136 0.412382 0.948959 0.078614 0.893197 0.159929 0.926191 0.045546 0.712112 0.029763 0.775258 0.174568 0.589926 0.093871 0.647648 0.286715 0.542233 0.039682 0.837587 0.568016 0.514851 0.425296 0.517534 0.89967 0.464526 0.715649 0.536695 0.89649 0.46445 0.90127 0.466162 0.89793 0.466107 0.92457 0.397524 0.934172 0.397517 0.90196 0.397532 0.543555 0.96576 0.912366 0.397543 0.914428 0.398827 0.902477 0.39881 0.887934 0.397535 0.886084 0.398748 0.939158 0.397548 0.916553 0.401268 0.903345 0.401161 0.918892 0.404595 0.904419 0.40426 0.88377 0.401252 0.880927 0.404722 0.905294 0.428912 0.905488 0.424961 0.912357 0.424967 0.91334 0.429138 0.905906 0.421495 0.911087 0.422154 0.904076 0.437412 0.90478 0.43319 0.913199 0.433998 0.911884 0.43877 0.90321 0.444063 0.903361 0.441071 0.909872 0.442542 0.908067 0.444769 0.902496 0.453271 0.918142 0.453706 0.928783 0.450398 0.93573 0.445715 0.939896 0.439756 0.941415 0.433124 0.940295 0.426582 0.937084 0.420446 0.931618 0.414911 0.921769 0.409549 0.905101 0.407893 0.876573 0.40992 0.866307 0.415598 0.859425 0.421874 0.854503 0.429219 0.846009 0.439206 0.853866 0.435555 0.855666 0.44134 0.849189 0.44441 0.859693 0.44628 0.853635 0.449316 0.859396 0.453185 0.889827 0.45174 0.862926 0.421743 0.859205 0.428005 0.869662 0.416377 0.857993 0.434235 0.859086 0.440054 0.916008 0.412068 0.903601 0.410265 0.918257 0.418305 0.91053 0.415402 0.913091 0.413541 0.921836 0.416936 0.92534 0.416062 0.879532 0.412275 0.931494 0.42114 0.923547 0.422692 0.927682 0.421785 0.926515 0.428111 0.931209 0.427509 0.93512 0.42705 0.936295 0.433481 0.92732 0.434037 0.932331 0.433786 0.925669 0.439922 0.930432 0.440034 0.934525 0.439972 0.912845 0.451737 0.922595 0.449614 0.907361 0.448978 0.915126 0.447877 0.918684 0.448912 0.909842 0.450414 0.901128 0.451294 0.929882 0.445604 0.921412 0.444811 0.925747 0.445329 0.862632 0.44473 0.90791 0.418325 0.914417 0.420366 0.918293 0.424021 0.92059 0.42877 0.920879 0.434155 0.919487 0.439514 0.911345 0.446349 0.90499 0.446728 0.916084 0.443813 0.891421 0.410387 0.891335 0.407994 0.8923 0.404278 0.892667 0.401108 0.892803 0.398753 0.893101 0.397518 0.953337 0.401538 0.958091 0.405199 0.9475 0.399036 0.96186 0.409791 0.964499 0.415028 0.96612 0.420717 0.967305 0.426924 0.967388 0.433074 0.966427 0.438883 0.96451 0.444202 0.961861 0.44894 0.958944 0.453645 0.955428 0.457592 0.951844 0.460785 0.948132 0.463506 0.945008 0.465414 0.9428 0.466896 0.940897 0.39766 0.894646 0.464377 0.893748 0.464327 0.895819 0.465909 0.894732 0.465707 0.898046 0.468336 0.895591 0.467749 0.894211 0.467377 0.894053 0.470321 0.892528 0.469525 0.89702 0.472125 0.906461 0.46806 0.901761 0.468217 0.901883 0.471147 0.906501 0.470456 0.912592 0.467918 0.912253 0.470089 0.920682 0.467923 0.920674 0.470154 0.9293 0.468129 0.929876 0.470181 0.93702 0.468441 0.938213 0.470896 0.942275 0.468514 0.942757 0.470744 0.890006 0.4495 0.852976 0.399065 0.859393 0.397599 0.847065 0.401675 0.84127 0.405026 0.953466 0.401386 0.958188 0.405089 0.947588 0.398916 0.961862 0.409747 0.964391 0.415022 0.965926 0.420729 0.967068 0.426923 0.967242 0.433135 0.966314 0.439008 0.964406 0.444378 0.961584 0.44912 0.958267 0.453722 0.954279 0.457569 0.865611 0.460368 0.870463 0.459645 0.869977 0.459728 0.865391 0.460791 0.875883 0.460032 0.875386 0.460071 0.889107 0.462568 0.889055 0.46259 0.836433 0.409343 0.829542 0.419704 0.832578 0.41403 0.832317 0.414141 0.82924 0.419624 0.86181 0.461905 0.861843 0.46256 0.95053 0.46075 0.946775 0.4634 0.943577 0.465237 0.941527 0.466697 0.893773 0.464335 0.893798 0.464342 0.894526 0.465626 0.894385 0.465571 0.940912 0.397604 0.893807 0.467247 0.893563 0.467166 0.891985 0.469369 0.891535 0.469419 0.940364 0.468392 0.940762 0.470517 0.866236 0.398834 0.873711 0.398813 0.877506 0.397514 0.870971 0.397493 0.865522 0.397455 0.860032 0.398872 0.856026 0.399014 0.861954 0.397568 0.860159 0.397664 0.853853 0.399094 0.935431 0.404681 0.948546 0.405179 0.944496 0.401457 0.931632 0.401375 0.939488 0.398861 0.927974 0.398901 0.870657 0.401504 0.861966 0.401526 0.855096 0.4016 0.850751 0.405417 0.858121 0.405363 0.867731 0.405188 0.850561 0.401575 0.848094 0.401586 0.842791 0.404957 0.845766 0.405198 0.9455 0.398818 0.951158 0.401375 0.955535 0.405156 0.94295 0.41441 0.9536 0.414936 0.951437 0.40979 0.938847 0.409148 0.863906 0.410047 0.854469 0.410101 0.8468 0.410021 0.843291 0.414792 0.850618 0.415218 0.858112 0.415702 0.958875 0.409842 0.961147 0.415077 0.9551 0.420509 0.945887 0.42022 0.947818 0.426423 0.955942 0.426574 0.962495 0.420748 0.963347 0.426902 0.947179 0.438896 0.955415 0.438781 0.95627 0.432802 0.948355 0.432791 0.963455 0.433109 0.96255 0.43901 0.93973 0.449457 0.950281 0.449152 0.953464 0.44429 0.944309 0.444589 0.960647 0.444424 0.957836 0.449233 0.928866 0.456683 0.941589 0.457208 0.946319 0.453375 0.933669 0.453285 0.954103 0.453514 0.949874 0.457416 0.877353 0.455968 0.882269 0.458025 0.892317 0.457757 0.890577 0.455047 0.886684 0.460112 0.89423 0.460211 0.902677 0.460467 0.90267 0.458019 0.902808 0.455334 0.869597 0.456984 0.865825 0.458435 0.871446 0.458982 0.8752 0.458466 0.877063 0.46 0.880928 0.46006 0.889224 0.462652 0.890358 0.462714 0.892541 0.462593 0.841603 0.409572 0.838159 0.409243 0.834209 0.413908 0.837981 0.414182 0.839885 0.419736 0.846514 0.420792 0.834481 0.428371 0.838869 0.430451 0.84343 0.433385 0.852102 0.422532 0.830666 0.418987 0.834732 0.419195 0.827717 0.426976 0.830662 0.427303 0.875777 0.450429 0.878346 0.448288 0.868619 0.446935 0.865577 0.448677 0.860982 0.459109 0.863516 0.455972 0.868771 0.453598 0.919955 0.462087 0.933215 0.46265 0.936971 0.460171 0.92452 0.45941 0.915797 0.455832 0.913434 0.458571 0.911682 0.460937 0.945768 0.460575 0.941689 0.463136 0.897291 0.462545 0.903757 0.462585 0.930828 0.464538 0.938505 0.464915 0.929084 0.466249 0.936418 0.466469 0.911714 0.462545 0.904992 0.464496 0.91226 0.464434 0.906001 0.466171 0.912549 0.466198 0.920438 0.466178 0.920682 0.464371 0.899694 0.464496 0.896238 0.464476 0.897673 0.46607 0.901142 0.46612 0.933851 0.397545 0.924135 0.397565 0.901567 0.397461 0.902111 0.398787 0.913998 0.398826 0.911927 0.397463 0.885568 0.398789 0.887707 0.397486 0.939027 0.397536 0.902897 0.401138 0.916139 0.401275 0.904075 0.404332 0.918631 0.404656 0.883077 0.401373 0.880245 0.404983 0.905419 0.428922 0.912942 0.429219 0.912006 0.425106 0.905474 0.425025 0.910791 0.422281 0.905844 0.421559 0.904305 0.436885 0.911907 0.438227 0.913047 0.433844 0.905052 0.432984 0.903203 0.443238 0.908124 0.443775 0.909903 0.441649 0.903445 0.440313 0.90285 0.452456 0.918742 0.45246 0.929033 0.449192 0.935553 0.444785 0.939489 0.439171 0.940895 0.433027 0.939916 0.426757 0.936762 0.420698 0.931211 0.415109 0.90461 0.407951 0.921344 0.40965 0.876099 0.410269 0.865754 0.416146 0.858856 0.422274 0.85408 0.42925 0.845714 0.439016 0.8487 0.443676 0.855252 0.440105 0.853622 0.434905 0.852614 0.447663 0.858958 0.44511 0.858176 0.451853 0.889824 0.45148 0.858947 0.427844 0.863033 0.422095 0.869857 0.416948 0.858451 0.439034 0.857612 0.433475 0.903128 0.410252 0.915613 0.4122 0.910336 0.415321 0.91773 0.418674 0.921258 0.417307 0.91279 0.413538 0.924944 0.416332 0.879341 0.412694 0.930972 0.4215 0.922517 0.423241 0.926792 0.422268 0.92506 0.428584 0.929895 0.42793 0.93442 0.427304 0.935453 0.433435 0.925801 0.434263 0.930838 0.433902 0.924243 0.439743 0.929152 0.439726 0.933786 0.439455 0.922618 0.448568 0.913071 0.450609 0.91472 0.447235 0.9073 0.44856 0.909883 0.449686 0.918464 0.448158 0.90106 0.450464 0.929479 0.444749 0.920523 0.44435 0.924927 0.444695 0.861743 0.443993 0.907779 0.418347 0.914012 0.420577 0.917709 0.42432 0.919641 0.429082 0.919962 0.434273 0.918588 0.43924 0.904848 0.446138 0.911088 0.445577 0.915514 0.4432 0.890897 0.408138 0.891059 0.410492 0.89188 0.404459 0.892481 0.401195 0.892744 0.398811 0.892774 0.397499 0.852987 0.39915 0.859402 0.397672 0.847027 0.401638 0.84144 0.40503 0.836758 0.409301 0.826856 0.427241 0.893304 0.464316 0.894343 0.465793 0.894093 0.464377 0.895401 0.465971 0.893628 0.467665 0.890751 0.471053 0.897653 0.467915 0.895086 0.467874 0.893376 0.47055 0.896513 0.470318 0.906138 0.467954 0.901291 0.467913 0.900442 0.470186 0.905385 0.470181 0.912382 0.468058 0.911527 0.470316 0.918635 0.470453 0.91977 0.468076 0.926488 0.470872 0.927835 0.468189 0.935282 0.468257 0.935209 0.471328 0.877915 0.500707 0.878197 0.500625 0.878935 0.505269 0.878376 0.50543 0.87849 0.500327 0.879515 0.504678 0.878776 0.499827 0.880077 0.503685 0.879041 0.499148 0.880596 0.502336 0.879273 0.498323 0.88105 0.500691 0.879461 0.49739 0.881414 0.498833 0.879595 0.496393 0.881685 0.496848 0.879673 0.495381 0.881831 0.494834 0.879688 0.4944 0.881855 0.492886 0.879641 0.493495 0.881754 0.491093 0.879517 0.492692 0.881496 0.489502 0.879256 0.49199 0.880966 0.488128 0.878724 0.491679 0.879976 0.487255 0.880441 0.487544 0.878985 0.491764 0.880259 0.509816 0.879427 0.510054 0.881118 0.508941 0.881951 0.507469 0.882719 0.50547 0.883385 0.503037 0.883918 0.500283 0.884295 0.497337 0.884501 0.494341 0.884524 0.491438 0.884373 0.488781 0.883999 0.486461 0.88321 0.484429 0.882394 0.483424 0.882124 0.514208 0.881033 0.51452 0.883251 0.513061 0.884343 0.511133 0.885349 0.508513 0.886222 0.505324 0.886921 0.501715 0.887414 0.497854 0.887677 0.493924 0.887702 0.490113 0.887496 0.486645 0.88698 0.48361 0.885938 0.48091 0.884878 0.479558 0.884506 0.51838 0.88317 0.518762 0.885883 0.516979 0.887217 0.514621 0.888447 0.511419 0.889514 0.507521 0.890369 0.503109 0.890971 0.49839 0.891293 0.493586 0.89132 0.488919 0.891054 0.484665 0.890395 0.481066 0.88919 0.477958 0.887817 0.476052 0.887367 0.522273 0.885807 0.522719 0.888975 0.520637 0.890533 0.517885 0.891968 0.514147 0.893214 0.509596 0.894212 0.504446 0.894915 0.498938 0.895291 0.493329 0.895322 0.487882 0.895 0.482915 0.894205 0.478779 0.892842 0.475169 0.891068 0.473073 0.890668 0.525829 0.888906 0.526332 0.892483 0.523982 0.894241 0.520876 0.895861 0.516656 0.897267 0.51152 0.898394 0.505707 0.899187 0.499489 0.899612 0.493158 0.899646 0.487009 0.899286 0.481354 0.898411 0.476638 0.894359 0.528996 0.892421 0.529549 0.896354 0.526965 0.898288 0.52355 0.900069 0.518911 0.901615 0.513263 0.902854 0.506872 0.903726 0.500036 0.904193 0.493075 0.904231 0.486314 0.903834 0.4801 0.902975 0.47504 0.898388 0.531728 0.896302 0.532323 0.900534 0.529543 0.902614 0.525869 0.904531 0.520877 0.906194 0.514801 0.907527 0.507925 0.908466 0.50057 0.908967 0.493081 0.909009 0.485806 0.908572 0.479151 0.907654 0.473824 0.902694 0.533986 0.900491 0.534614 0.90496 0.531679 0.907157 0.527799 0.909181 0.522528 0.910937 0.516111 0.912345 0.50885 0.913336 0.501084 0.913866 0.493175 0.913909 0.485494 0.91346 0.478418 0.912585 0.472851 0.907215 0.535736 0.904927 0.536388 0.909569 0.53334 0.91185 0.529311 0.913952 0.523838 0.915776 0.517175 0.917237 0.509635 0.918266 0.50157 0.918854 0.493342 0.918947 0.485357 0.91844 0.478006 0.91787 0.471971 0.914263 0.537286 0.911914 0.537955 0.916678 0.534827 0.919019 0.530693 0.921175 0.525076 0.923047 0.518239 0.924546 0.510502 0.925585 0.502224 0.926227 0.493754 0.926493 0.485583 0.925762 0.478045 0.924764 0.471485 0.921403 0.537724 0.919062 0.538392 0.92381 0.535275 0.926142 0.531156 0.930338 0.525761 0.93162 0.519674 0.933283 0.512932 0.932692 0.502839 0.933977 0.494768 0.934333 0.486371 0.933206 0.478784 0.931863 0.472204 0.92611 0.537268 0.92382 0.53792 0.928464 0.534872 0.932388 0.530343 0.937335 0.506755 0.941235 0.498334 0.941521 0.487989 0.940371 0.480184 0.938481 0.473907 0.930691 0.536256 0.928485 0.536884 0.934789 0.533043 0.935078 0.534703 0.932989 0.535298 0.938368 0.532576 0.947164 0.489068 0.947066 0.497764 0.946239 0.481893 0.944283 0.476284 0.939209 0.532632 0.937267 0.533185 0.941919 0.530982 0.950689 0.490156 0.950271 0.497772 0.95034 0.48345 0.948203 0.478162 0.943023 0.530074 0.941256 0.530577 0.945589 0.528338 0.95349 0.491089 0.952472 0.498024 0.953154 0.485389 0.951415 0.480527 0.946464 0.527065 0.944898 0.52751 0.948879 0.525086 0.955336 0.498108 0.955494 0.49227 0.955142 0.488211 0.954263 0.484425 0.949389 0.475505 0.954052 0.482326 0.94757 0.475109 0.945693 0.473082 0.943613 0.471998 0.950577 0.521636 0.949187 0.522238 0.951775 0.520708 0.950886 0.519379 0.952605 0.518141 0.95447 0.515316 0.952742 0.516616 0.878125 0.495997 0.943537 0.514246 0.944979 0.511457 0.945299 0.511731 0.944004 0.514141 0.946866 0.510467 0.945612 0.512005 0.946775 0.509925 0.944125 0.524447 0.943125 0.523168 0.943363 0.52176 0.944265 0.522893 0.943213 0.51865 0.9436 0.520352 0.942839 0.519741 0.942465 0.520831 0.942508 0.517563 0.943036 0.516979 0.944472 0.514036 0.943564 0.516394 0.946664 0.509365 0.948503 0.507957 0.948316 0.508687 0.949207 0.508705 0.948096 0.509397 0.949608 0.50791 0.950009 0.507096 0.951195 0.506751 0.950679 0.507606 0.951005 0.508659 0.950161 0.508443 0.951647 0.507843 0.952323 0.510866 0.951744 0.509448 0.952587 0.5089 0.953318 0.510638 0.952296 0.507042 0.953444 0.508317 0.954198 0.510416 0.954069 0.512878 0.953344 0.512779 0.95222 0.51488 0.952538 0.512757 0.952777 0.515115 0.953314 0.515413 0.952001 0.51802 0.951641 0.517475 0.949848 0.518868 0.951263 0.516984 0.950071 0.519673 0.950291 0.520481 0.948367 0.522605 0.94826 0.52146 0.946642 0.521256 0.948152 0.520315 0.946704 0.522693 0.946766 0.524131 0.94537 0.524785 0.945389 0.52319 0.944404 0.521338 0.945409 0.521595 0.948517 0.508521 0.947425 0.509189 0.946164 0.510225 0.943731 0.513771 0.942852 0.515989 0.942484 0.51808 0.944874 0.511783 0.950283 0.508511 0.949456 0.508269 0.942699 0.51973 0.943487 0.520694 0.951552 0.510694 0.95099 0.509314 0.944633 0.521012 0.946034 0.520645 0.951461 0.514432 0.951791 0.512457 0.947604 0.519694 0.949207 0.518265 0.95053 0.516413 0.954352 0.507334 0.955064 0.51004 0.953029 0.50566 0.954691 0.513093 0.953563 0.516187 0.942931 0.511155 0.945738 0.50837 0.941124 0.514785 0.948237 0.525023 0.946042 0.527051 0.950358 0.522206 0.940778 0.525984 0.939919 0.523165 0.942236 0.527579 0.940031 0.519157 0.94836 0.506655 0.95038 0.505668 0.951792 0.505283 0.952106 0.519194 0.94408 0.527997 0.955136 0.505085 0.955458 0.508799 0.953996 0.503048 0.954947 0.51289 0.953571 0.516724 0.940392 0.509704 0.943959 0.505926 0.937487 0.514053 0.946965 0.527152 0.943743 0.529685 0.949863 0.52392 0.936263 0.528363 0.934831 0.524989 0.938515 0.530358 0.93544 0.520327 0.947235 0.504116 0.949823 0.503295 0.952034 0.502955 0.951882 0.52041 0.941028 0.53079 0.956255 0.501869 0.956376 0.507194 0.955436 0.512282 0.95378 0.516679 0.954272 0.512902 0.953969 0.514386 0.955477 0.513065 0.955509 0.511632 0.956562 0.510151 0.957541 0.50583 0.957528 0.506237 0.957401 0.500104 0.957323 0.498901 0.956684 0.496896 0.956413 0.492938 0.956425 0.492794 0.955922 0.48933 0.955605 0.489791 0.952251 0.480529 0.95403 0.483685 0.955302 0.484788 0.955335 0.486204 0.955539 0.486154 0.954877 0.485325 0.956687 0.508947 0.956754 0.495687 0.955045 0.487387 0.877848 0.505182 0.877652 0.500582 0.87737 0.504506 0.877412 0.500243 0.876974 0.503437 0.877218 0.499703 0.87668 0.502023 0.877063 0.498994 0.876501 0.50033 0.876979 0.498142 0.876446 0.498438 0.87696 0.497191 0.876522 0.496436 0.877006 0.496186 0.876728 0.49442 0.877115 0.495174 0.877054 0.492488 0.877281 0.494204 0.877479 0.49073 0.877498 0.49332 0.877999 0.489197 0.877767 0.492546 0.878719 0.487808 0.878144 0.491879 0.879235 0.487423 0.878402 0.491725 0.878643 0.509686 0.877934 0.508686 0.877348 0.507101 0.876912 0.505005 0.876647 0.502497 0.876565 0.499694 0.876669 0.496727 0.876956 0.493734 0.877416 0.490859 0.878045 0.488251 0.878803 0.485988 0.879891 0.48389 0.880652 0.483253 0.880004 0.514038 0.879075 0.512727 0.878307 0.510649 0.877736 0.507903 0.877388 0.504616 0.87728 0.500942 0.877417 0.497054 0.877793 0.493132 0.878389 0.48936 0.879214 0.485947 0.880199 0.482989 0.881623 0.480314 0.882641 0.479405 0.881911 0.518172 0.880775 0.516569 0.879836 0.51403 0.879138 0.510673 0.878713 0.506655 0.878582 0.502165 0.878749 0.497412 0.879208 0.492618 0.879955 0.488021 0.881001 0.483899 0.88231 0.480367 0.883909 0.47731 0.885135 0.475926 0.884336 0.52203 0.883011 0.520159 0.881915 0.517195 0.8811 0.513276 0.880604 0.508586 0.88045 0.503344 0.880646 0.497795 0.881181 0.492199 0.882059 0.48684 0.883257 0.482017 0.884772 0.477872 0.886828 0.474331 0.888116 0.472377 0.887245 0.525554 0.885749 0.523442 0.884512 0.520096 0.883592 0.515673 0.883032 0.510379 0.882858 0.504462 0.883079 0.498199 0.883683 0.491882 0.884656 0.485819 0.885976 0.480334 0.887771 0.475644 0.888962 0.472096 0.890594 0.528694 0.888949 0.526372 0.887589 0.522693 0.886578 0.51783 0.885962 0.512009 0.885771 0.505504 0.886014 0.498617 0.886678 0.491672 0.887734 0.484992 0.889161 0.478945 0.891005 0.474124 0.894335 0.531403 0.892565 0.528905 0.891102 0.524947 0.890014 0.519714 0.889351 0.513452 0.889146 0.506453 0.889407 0.499043 0.890122 0.491571 0.891258 0.484384 0.892815 0.477978 0.894695 0.473363 0.898413 0.533643 0.896544 0.531004 0.894999 0.526825 0.89385 0.5213 0.893151 0.514687 0.892934 0.507295 0.893209 0.499472 0.893965 0.491581 0.895164 0.483992 0.89686 0.477387 0.898865 0.473076 0.902769 0.53538 0.900829 0.53264 0.899224 0.5283 0.898031 0.522562 0.897305 0.515695 0.897079 0.50802 0.897366 0.499895 0.89815 0.491701 0.899396 0.483821 0.901449 0.477074 0.903819 0.472976 0.909699 0.53692 0.907707 0.534109 0.906061 0.529655 0.904836 0.523767 0.904091 0.516721 0.90386 0.508844 0.904153 0.500507 0.904958 0.492099 0.906237 0.484012 0.908008 0.477129 0.910034 0.473198 0.916854 0.53736 0.91487 0.534559 0.91323 0.530122 0.914164 0.524465 0.913164 0.518196 0.913437 0.51134 0.91133 0.50108 0.912131 0.492703 0.913405 0.484646 0.91513 0.47783 0.916994 0.473623 0.92166 0.536911 0.919719 0.534172 0.91917 0.529284 0.917172 0.505296 0.919838 0.496406 0.920904 0.486229 0.92238 0.479225 0.924263 0.474614 0.926405 0.535913 0.924828 0.532245 0.931019 0.534378 0.929686 0.53188 0.92797 0.487724 0.927599 0.495894 0.929366 0.480734 0.931925 0.475167 0.935435 0.53233 0.934387 0.530379 0.933232 0.488977 0.932764 0.496065 0.934736 0.482159 0.937602 0.476887 0.93959 0.529799 0.938848 0.527798 0.937731 0.490249 0.936964 0.496523 0.939215 0.484123 0.942421 0.479379 0.943421 0.526821 0.942722 0.524593 0.94207 0.497013 0.942329 0.491435 0.943599 0.487511 0.946933 0.482758 0.949756 0.480976 0.945342 0.476815 0.940652 0.473783 0.947564 0.521395 0.9466 0.520277 0.951324 0.514898 0.949518 0.517928 0.928377 0.510114 0.926885 0.51291 0.927854 0.512845 0.929178 0.51043 0.92998 0.510746 0.931406 0.509225 0.930823 0.508639 0.92835 0.521984 0.930534 0.523359 0.930891 0.521821 0.928964 0.520607 0.929579 0.519229 0.928441 0.517467 0.927597 0.51852 0.926179 0.516255 0.926753 0.519573 0.927195 0.51571 0.928211 0.515165 0.928823 0.512781 0.932374 0.506682 0.930239 0.508053 0.932657 0.507439 0.93294 0.508196 0.934517 0.507536 0.93451 0.506707 0.936567 0.505592 0.934502 0.505878 0.936317 0.506456 0.936067 0.50732 0.937546 0.507578 0.93807 0.506748 0.938901 0.508422 0.940036 0.50988 0.941088 0.509726 0.939772 0.507879 0.940713 0.507314 0.938594 0.505926 0.942911 0.511998 0.942269 0.509491 0.941755 0.511888 0.940774 0.511818 0.940867 0.513981 0.941724 0.514237 0.941696 0.517149 0.942674 0.514592 0.940898 0.516619 0.940099 0.51609 0.938667 0.517973 0.939267 0.518807 0.937547 0.521739 0.939868 0.519641 0.937153 0.52057 0.936759 0.519402 0.934851 0.520311 0.935057 0.52176 0.932933 0.523788 0.935263 0.523209 0.932985 0.522196 0.933038 0.520604 0.931248 0.520284 0.932573 0.508007 0.934161 0.507367 0.930964 0.509008 0.927841 0.514787 0.928411 0.512543 0.928106 0.516928 0.929515 0.510546 0.935671 0.507169 0.937081 0.507438 0.929093 0.51864 0.93071 0.519671 0.938351 0.508298 0.9394 0.509723 0.932552 0.520045 0.934434 0.519715 0.940079 0.511519 0.940113 0.513519 0.936336 0.518792 0.938116 0.517377 0.939405 0.515521 0.943638 0.508965 0.941943 0.506311 0.939071 0.504531 0.94388 0.51543 0.944335 0.512165 0.927944 0.506963 0.925069 0.509715 0.923231 0.513349 0.935271 0.526189 0.938229 0.524222 0.940839 0.521447 0.923484 0.521848 0.925731 0.524779 0.928789 0.526502 0.922597 0.517761 0.93396 0.504385 0.931029 0.505302 0.936534 0.504088 0.942769 0.518413 0.932116 0.527039 0.945351 0.507568 0.943089 0.503744 0.939896 0.502018 0.945354 0.516015 0.946118 0.511811 0.925289 0.504712 0.920962 0.50815 0.918385 0.51252 0.934537 0.528948 0.938552 0.526478 0.941809 0.523283 0.918305 0.523665 0.921702 0.527196 0.925959 0.529352 0.917212 0.518867 0.933078 0.501722 0.929349 0.502508 0.936447 0.501609 0.943896 0.519878 0.930309 0.529931 0.948005 0.505607 0.944871 0.499392 0.947806 0.516062 0.9491 0.511191 0.953215 0.511264 0.952698 0.512701 0.951135 0.50884 0.950868 0.504414 0.946032 0.497811 0.946155 0.49879 0.9504 0.504692 0.944108 0.496015 0.944681 0.492183 0.945966 0.489086 0.945497 0.488606 0.944291 0.491984 0.951345 0.48426 0.948386 0.485293 0.952907 0.485943 0.952013 0.507755 0.944606 0.494766 0.94856 0.486751 0.889967 0.448966 0.879572 0.4873 0.878531 0.491695 0.881189 0.483034 0.883359 0.479059 0.88597 0.475436 0.826451 0.427416 0.889758 0.472115 0.881748 0.482959 0.884054 0.478968 0.886811 0.475429 0.942835 0.472365 0.877975 0.397658 0.883515 0.397651 0.873951 0.397664 0.870831 0.397671 0.867889 0.397674 0.918562 0.397639 0.925482 0.397634 0.901603 0.397646 0.909465 0.397642 0.891034 0.397645 0.929288 0.397637 0.894812 0.397645 0.931273 0.397662 0.86549 0.397668 0.931235 0.397655 0.882529 0.39765 0.877003 0.397658 0.871595 0.397671 0.868659 0.397671 0.868707 0.397667 0.925845 0.397644 0.918784 0.397657 0.909614 0.397666 0.901249 0.39767 0.890498 0.397656 0.92961 0.397643 0.894099 0.397656 0.867711 0.397671 0.900103 0.397679 0.595916 0.679782 0.593633 0.724091 0.587548 0.772055 0.579229 0.819401 0.570764 0.860428 0.56898 0.893979 0.055194 0.327681 0.056512 0.244825 0.056323 0.176259 0.056343 0.11532 0.057144 0.041836 0.468306 0.320445 0.459246 0.232082 0.470583 0.402538 0.456894 0.171519 0.044392 0.51728 0.04804 0.442488 0.039555 0.560029 0.472222 0.467543 0.655545 0.572596 0.685594 0.967391 0.590033 0.92387 0.595756 0.680499 0.590769 0.76975 0.682275 0.551691 0.647404 0.965201 0.571758 0.851938 0.600135 0.64164 0.623018 0.605621 0.617347 0.944413 0.720327 0.535205</float_array> + <technique_common> + <accessor count="2277" offset="0" source="#LOD3spShape-lib-map1-array" stride="2"> + <param name="S" type="float"/> + <param name="T" type="float"/> + </accessor> + </technique_common> + </source> + <vertices id="LOD3spShape-lib-vertices"> + <input semantic="POSITION" source="#LOD3spShape-lib-positions"/> + </vertices> + <polylist count="2144" material="blinn3SG"> + <input offset="0" semantic="VERTEX" source="#LOD3spShape-lib-vertices"/> + <input offset="1" semantic="NORMAL" source="#LOD3spShape-lib-normals"/> + <input offset="2" semantic="TEXCOORD" source="#LOD3spShape-lib-map1" set="0"/> + <vcount>4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 4 4 4 5 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 4 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 4 4 4 5 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 4 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 3 3 3 3 3 3 3 3 3 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3</vcount> + <p>89 0 23 243 1 26 90 2 28 6 3 29 91 4 30 243 1 26 89 0 23 5 5 31 92 6 33 244 7 35 91 4 30 5 5 31 299 8 36 244 7 35 92 6 33 218 9 37 7 10 39 95 11 41 93 12 42 8 13 57 93 12 42 95 11 41 94 14 61 9 15 62 96 16 65 245 17 66 89 0 23 6 3 29 89 0 23 245 17 66 97 18 67 5 5 31 97 18 67 245 17 66 98 19 68 11 20 69 98 19 68 245 17 66 96 16 65 10 21 70 97 18 67 246 22 71 92 6 33 5 5 31 92 6 33 246 22 71 300 23 72 218 9 37 300 23 72 246 22 71 99 24 84 219 25 85 99 24 84 246 22 71 97 18 67 11 20 69 12 26 86 247 27 89 93 12 42 9 15 62 93 12 42 247 27 89 100 28 90 8 13 57 13 29 135 102 30 137 101 31 138 14 32 139 101 31 138 102 30 137 7 10 39 8 13 57 103 33 140 248 34 141 98 19 68 10 21 70 98 19 68 248 34 141 104 35 142 11 20 69 104 35 142 248 34 141 105 36 200 16 37 246 105 36 200 248 34 141 103 33 140 15 38 249 100 28 90 107 39 252 101 31 138 8 13 57 101 31 138 107 39 252 106 40 253 14 32 139 108 41 254 109 42 256 13 29 135 14 32 139 18 43 259 109 42 256 108 41 254 17 44 260 106 40 253 111 45 262 108 41 254 14 32 139 108 41 254 111 45 262 110 46 265 17 44 260 20 47 266 112 48 283 113 49 285 19 50 286 113 49 285 112 48 283 18 43 259 17 44 260 110 46 265 115 51 289 113 49 285 17 44 260 113 49 285 115 51 289 114 52 290 19 50 286 22 53 291 116 54 292 117 55 293 21 56 294 117 55 293 116 54 292 20 47 266 19 50 286 114 52 290 119 57 295 117 55 293 19 50 286 117 55 293 119 57 295 118 58 296 21 56 294 23 59 297 249 60 298 120 61 300 24 62 303 120 61 300 249 60 298 22 53 291 21 56 294 118 58 296 122 63 304 120 61 300 21 56 294 120 61 300 122 63 304 121 64 884 24 62 303 26 65 885 339 66 886 340 67 887 123 68 888 123 68 888 340 67 887 341 69 889 28 70 890 341 69 889 340 67 887 124 71 891 27 72 892 124 71 891 340 67 887 339 66 886 25 73 893 125 74 894 250 75 895 307 76 896 29 77 897 307 76 896 250 75 895 126 78 898 227 79 899 126 78 898 250 75 895 123 68 888 28 70 890 123 68 888 250 75 895 125 74 894 26 65 885 126 78 898 127 80 900 45 81 901 227 79 899 126 78 898 28 70 890 30 82 902 127 80 900 128 83 0 251 84 1 308 85 2 31 86 3 308 85 74 251 84 75 129 87 76 228 88 77 129 87 76 251 84 75 130 89 78 33 90 79 130 89 4 251 84 1 128 83 0 32 91 12 131 92 13 252 93 14 309 94 15 34 95 16 309 94 15 252 93 14 128 83 0 31 86 3 128 83 0 252 93 14 132 96 17 32 91 12 132 96 17 252 93 14 131 92 13 35 97 18 133 98 82 253 99 83 132 96 17 35 97 18 132 96 17 253 99 83 134 100 91 32 91 12 134 100 91 253 99 83 156 101 92 36 102 93 156 101 92 253 99 83 133 98 82 38 103 94 135 104 96 254 105 97 136 106 98 39 107 101 136 106 98 254 105 97 137 108 102 37 109 105 137 108 102 254 105 97 133 98 82 35 97 18 133 98 82 254 105 97 135 104 96 38 103 94 104 35 142 255 110 903 99 24 84 11 20 69 99 24 84 255 110 903 310 111 904 219 25 85 310 111 904 255 110 903 138 112 905 1978 113 906 138 112 905 255 110 903 104 35 142 16 37 246 204 114 5 285 115 6 139 116 7 59 117 8 139 116 7 285 115 6 203 118 9 57 119 10 105 36 200 256 120 907 140 121 908 16 37 246 140 121 908 256 120 907 135 104 909 39 107 910 135 104 909 256 120 907 141 122 911 38 103 912 141 122 911 256 120 907 105 36 200 15 38 249 138 112 905 257 123 913 142 124 914 1978 113 906 142 124 914 257 123 913 154 125 915 229 126 916 154 125 915 257 123 913 140 121 908 39 107 910 140 121 908 257 123 913 138 112 905 16 37 246 143 127 11 284 128 19 202 129 20 60 130 21 203 118 9 284 128 19 143 127 11 57 119 10 144 131 917 56 132 918 2065 133 919 2066 134 920 311 135 921 258 136 922 125 74 894 29 77 897 125 74 894 258 136 922 145 137 923 26 65 885 145 137 80 258 136 81 146 138 95 40 139 99 146 138 95 258 136 81 311 135 100 41 140 103 43 141 924 147 142 925 148 143 926 42 144 927 148 143 926 147 142 925 23 59 297 24 62 303 149 145 928 259 146 929 124 71 891 25 73 893 124 71 891 259 146 929 150 147 976 27 72 892 150 147 976 259 146 929 147 142 925 43 141 924 147 142 925 259 146 929 149 145 928 23 59 297 121 64 884 152 148 978 148 143 926 24 62 303 148 143 926 152 148 978 151 149 980 42 144 927 231 150 981 30 82 902 28 70 890 341 69 889 231 150 981 341 69 889 27 72 892 44 151 982 153 152 104 260 153 106 129 87 76 33 90 79 129 87 76 260 153 106 312 154 107 228 88 77 312 154 107 260 153 106 146 138 95 41 140 103 146 138 95 260 153 106 153 152 104 40 139 99 154 125 110 261 155 111 313 156 112 229 126 113 313 156 112 261 155 111 155 157 114 230 158 115 155 157 114 261 155 111 136 106 98 37 109 105 136 106 98 261 155 111 154 125 110 39 107 101 153 152 104 262 159 108 181 160 109 40 139 99 181 160 116 262 159 117 134 100 91 36 102 93 134 100 91 262 159 117 130 89 4 32 91 12 130 89 78 262 159 108 153 152 104 33 90 79 137 108 102 263 161 118 155 157 114 37 109 105 155 157 114 263 161 118 314 162 119 230 158 115 314 162 119 263 161 118 131 92 13 34 95 16 131 92 13 263 161 118 137 108 102 35 97 18 151 149 980 241 163 983 157 164 985 42 144 927 157 164 985 241 163 983 242 165 987 83 166 1012 159 167 1013 264 168 1016 160 169 1017 44 151 982 160 169 1017 264 168 1016 239 170 1018 81 171 1019 239 170 1018 264 168 1016 238 172 1020 82 173 1023 238 172 1020 264 168 1016 159 167 1013 43 141 924 82 173 1023 238 172 1020 157 164 985 83 166 1012 157 164 985 238 172 1020 43 141 924 42 144 927 160 169 1017 265 174 1036 231 150 981 44 151 982 231 150 981 265 174 1036 232 175 1038 30 82 902 232 175 1038 265 174 1036 237 176 1039 80 177 1040 237 176 1039 265 174 1036 160 169 1017 81 171 1019 94 14 61 163 178 1041 164 179 1042 9 15 62 165 180 1043 266 181 1045 166 182 1046 46 183 1047 166 182 1046 266 181 1045 163 178 1041 94 14 61 90 2 28 288 184 1048 207 185 1049 6 3 29 164 179 1042 167 186 1050 12 26 86 9 15 62 166 182 1046 267 187 1051 168 188 1052 46 183 1047 168 188 1052 267 187 1051 169 189 1053 47 190 1054 169 189 1053 267 187 1051 95 11 41 7 10 39 95 11 41 267 187 1051 166 182 1046 94 14 61 207 185 1049 287 191 1055 96 16 65 6 3 29 96 16 65 287 191 1055 206 192 1056 10 21 70 170 193 22 268 194 2246 171 195 24 63 196 25 171 195 24 268 194 2246 172 197 2247 58 198 27 172 197 1057 268 194 1058 173 199 1059 64 200 1060 173 199 1059 268 194 1058 170 193 1061 62 201 1062 172 197 2247 269 202 2248 174 203 32 58 198 27 174 203 32 269 202 2248 175 204 2249 61 205 34 175 204 1063 269 202 1064 176 206 1065 65 207 1066 176 206 1065 269 202 1064 172 197 1057 64 200 1060 175 204 2249 270 208 2250 177 209 38 61 205 34 177 209 38 270 208 2250 178 210 2251 66 211 40 178 210 1067 270 208 1068 179 212 1069 67 213 1070 179 212 1069 270 208 1068 175 204 1063 65 207 1066 180 214 1071 271 215 1072 149 145 928 25 73 893 149 145 928 271 215 1072 249 60 298 23 59 297 249 60 298 271 215 1072 48 216 1073 22 53 291 150 147 976 159 167 1013 44 151 982 27 72 892 159 167 1013 150 147 976 43 141 924 48 216 1073 272 217 1074 116 54 292 22 53 291 116 54 292 272 217 1074 49 218 1075 20 47 266 49 218 1075 273 219 1076 112 48 283 20 47 266 112 48 283 273 219 1076 50 220 1077 18 43 259 50 220 1077 274 221 1078 109 42 256 18 43 259 109 42 256 274 221 1078 51 222 1079 13 29 135 169 189 1053 275 223 1080 52 224 1081 47 190 1054 51 222 1079 275 223 1080 102 30 137 13 29 135 102 30 137 275 223 1080 169 189 1053 7 10 39 206 192 1056 286 225 1082 103 33 140 10 21 70 103 33 140 286 225 1082 53 226 1083 15 38 249 53 226 1083 276 227 1084 141 122 911 15 38 249 141 122 911 276 227 1084 54 228 1085 38 103 912 156 101 1086 277 229 1087 55 230 1088 36 102 1089 54 228 1085 277 229 1087 156 101 1086 38 103 912 55 230 1088 182 231 1090 181 160 1091 36 102 1089 181 160 1091 182 231 1090 56 132 918 40 139 1092 202 129 20 283 232 43 183 233 44 60 130 21 201 234 45 68 235 46 183 233 44 283 232 43 56 132 918 144 131 917 145 137 923 40 139 1092 144 131 917 321 236 1093 339 66 886 26 65 885 145 137 923 276 227 1084 2069 237 1094 2070 238 1095 54 228 1085 290 239 47 208 240 48 184 241 49 278 242 50 210 243 51 290 239 47 278 242 50 185 244 52 2068 245 1096 2069 237 1094 276 227 1084 53 226 1083 277 229 1087 2071 246 1097 2073 247 1098 55 230 1088 289 248 53 209 249 54 186 250 55 279 251 56 208 240 48 289 248 53 279 251 56 184 241 49 2070 238 1095 2071 246 1097 277 229 1087 54 228 1085 275 223 1080 2075 252 1099 2076 253 1100 52 224 1081 294 254 2265 212 255 58 2053 256 59 280 257 60 214 258 1101 294 254 1102 280 257 1103 187 259 1104 2074 260 1105 2075 252 1099 275 223 1080 51 222 1079 286 225 1082 2072 261 1106 2068 245 1096 53 226 1083 292 262 63 210 243 51 185 244 52 2052 263 64 274 221 1078 2078 264 1107 2074 260 1105 51 222 1079 293 265 1108 214 258 1101 187 259 1104 2055 266 1109 213 267 1110 293 265 1108 2055 266 1109 188 268 1111 2079 269 1112 2078 264 1107 274 221 1078 50 220 1077 273 219 1076 2080 270 1113 2079 269 1112 50 220 1077 295 271 1114 213 267 1110 188 268 1111 2056 272 1115 215 273 1116 295 271 1114 2056 272 1115 189 274 1117 2081 275 1118 2080 270 1113 273 219 1076 49 218 1075 271 215 1072 2084 276 1119 2085 277 1120 48 216 1073 297 278 1121 216 279 1122 190 280 1123 281 281 1124 217 282 87 297 278 73 281 281 2271 191 283 88 2083 284 1125 2084 276 1119 271 215 1072 180 214 1071 272 217 1074 2082 285 1126 2081 275 1118 49 218 1075 296 286 1127 215 273 1116 189 274 1117 2057 287 1128 216 279 1122 296 286 1127 2057 287 1128 190 280 1123 2085 277 1120 2082 285 1126 272 217 1074 48 216 1073 182 231 1090 2064 288 1129 2065 133 919 56 132 918 291 289 120 211 290 121 2051 291 122 2050 292 123 209 249 54 291 289 120 2050 292 123 186 250 55 2073 247 1098 2064 288 1129 182 231 1090 55 230 1088 211 290 121 298 293 124 282 294 125 2051 291 122 298 293 124 323 295 126 322 296 127 282 294 125 70 297 128 192 298 129 139 116 7 57 119 10 59 117 8 139 116 7 192 298 129 71 299 130 69 300 131 193 301 132 143 127 11 60 130 21 70 297 128 57 119 10 143 127 11 193 301 132 73 302 133 194 303 134 170 193 22 63 196 25 62 201 1062 170 193 1061 194 303 1130 74 304 1131 59 117 8 71 299 130 205 305 136 204 114 5 62 201 1062 74 304 1131 195 306 1132 173 199 1059 64 200 1060 173 199 1059 195 306 1132 75 307 1133 64 200 1060 75 307 1133 196 308 1134 176 206 1065 65 207 1066 176 206 1065 196 308 1134 76 309 1135 77 310 1136 197 311 1137 178 210 1067 67 213 1070 66 211 40 178 210 2251 197 311 2267 78 312 143 65 207 1066 76 309 1135 198 313 1138 179 212 1069 77 310 1136 67 213 1070 179 212 1069 198 313 1138 72 314 201 199 315 202 183 233 44 68 235 46 69 300 131 60 130 21 183 233 44 199 315 202 200 316 203 72 314 201 68 235 46 201 234 45 338 317 204 200 316 203 201 234 45 337 318 205 338 317 204 337 318 205 66 211 40 78 312 143 283 232 43 336 319 206 337 318 205 201 234 45 177 209 38 336 319 206 335 320 207 61 205 34 284 128 19 334 321 208 335 320 207 202 129 20 174 203 32 334 321 208 333 322 209 58 198 27 285 115 6 332 323 210 333 322 209 203 118 9 171 195 24 332 323 210 331 324 232 63 196 25 331 324 232 204 114 5 205 305 136 330 325 233 331 324 232 330 325 233 73 302 133 63 196 25 329 326 234 292 262 63 2052 263 64 2054 327 235 2076 253 1100 2077 328 1139 328 329 1140 52 224 1081 52 224 1081 328 329 1140 327 330 1141 47 190 1054 287 191 1055 326 331 1142 327 330 1141 206 192 1056 168 188 1052 326 331 1142 325 332 1143 46 183 1047 288 184 1048 324 333 1144 325 332 1143 207 185 1049 193 301 132 289 248 53 208 240 48 70 297 128 209 249 54 289 248 53 193 301 132 69 300 131 210 243 51 292 262 63 205 305 136 71 299 130 208 240 48 290 239 47 192 298 129 70 297 128 192 298 129 290 239 47 210 243 51 71 299 130 199 315 202 291 289 120 209 249 54 69 300 131 211 290 121 291 289 120 199 315 202 72 314 201 292 262 63 329 326 234 330 325 233 205 305 136 2053 256 59 212 255 58 329 326 234 2054 327 235 195 306 1132 293 265 1108 213 267 1110 75 307 1133 214 258 1101 293 265 1108 195 306 1132 74 304 1131 212 255 58 294 254 2265 194 303 134 73 302 133 194 303 1130 294 254 1102 214 258 1101 74 304 1131 213 267 1110 295 271 1114 196 308 1134 75 307 1133 196 308 1134 295 271 1114 215 273 1116 76 309 1135 215 273 1116 296 286 1127 198 313 1138 76 309 1135 198 313 1138 296 286 1127 216 279 1122 77 310 1136 323 295 126 217 282 87 191 283 88 322 296 127 217 282 87 323 295 126 338 317 204 78 312 143 216 279 1122 297 278 1121 197 311 1137 77 310 1136 197 311 2267 297 278 73 217 282 87 78 312 143 200 316 203 298 293 124 211 290 121 72 314 201 247 27 89 301 334 1145 220 335 1146 100 28 90 221 336 1147 301 334 1145 247 27 89 12 26 86 107 39 252 302 337 1148 222 338 1149 106 40 253 220 335 1146 302 337 1148 107 39 252 100 28 90 111 45 262 303 339 1150 223 340 1151 110 46 265 222 338 1149 303 339 1150 111 45 262 106 40 253 115 51 289 304 341 1152 224 342 1153 114 52 290 223 340 1151 304 341 1152 115 51 289 110 46 265 119 57 295 305 343 1154 225 344 1155 118 58 296 224 342 1153 305 343 1154 119 57 295 114 52 290 122 63 304 306 345 1156 226 346 1157 121 64 884 225 344 1155 306 345 1156 122 63 304 118 58 296 152 148 978 346 347 1158 345 348 1159 151 149 980 152 148 978 121 64 884 226 346 1157 346 347 1158 241 163 983 344 349 1160 343 350 1161 242 165 987 241 163 983 151 149 980 345 348 1159 344 349 1160 167 186 1050 315 351 1162 221 336 1147 12 26 86 232 175 1038 316 352 1163 127 80 900 30 82 902 127 80 900 316 352 1163 162 353 1164 45 81 901 162 353 1164 316 352 1163 235 354 1165 79 355 1166 235 354 1165 316 352 1163 232 175 1038 80 177 1040 234 356 1167 317 357 1168 235 354 1165 80 177 1040 235 354 1165 317 357 1168 233 358 1169 79 355 1166 233 358 1169 317 357 1168 87 359 1170 3 360 1171 87 359 1170 317 357 1168 234 356 1167 2 361 1172 236 362 1173 318 363 1174 237 176 1039 81 171 1019 237 176 1039 318 363 1174 234 356 1167 80 177 1040 234 356 1167 318 363 1174 86 364 1175 2 361 1172 86 364 1175 318 363 1174 236 362 1173 1 365 1176 239 170 1018 319 366 1177 236 362 1173 81 171 1019 236 362 1173 319 366 1177 85 367 1178 1 365 1176 85 367 1178 319 366 1177 161 368 1179 0 369 1180 161 368 1179 319 366 1177 239 170 1018 82 173 1023 0 369 1180 161 368 1179 240 370 1181 4 371 1182 240 370 1181 161 368 1179 82 173 1023 83 166 1012 242 165 987 158 372 1183 240 370 1181 83 166 1012 240 370 1181 158 372 1183 84 373 1184 4 371 1182 343 350 1161 342 374 1185 158 372 1183 242 165 987 158 372 1183 342 374 1185 88 375 1186 84 373 1184 144 131 917 2066 134 920 2067 376 1187 321 236 1093 339 66 886 321 236 1093 180 214 1071 25 73 893 2067 376 1187 2083 284 1125 180 214 1071 321 236 1093 46 183 1047 325 332 1143 324 333 1144 165 180 1043 207 185 1049 325 332 1143 326 331 1142 287 191 1055 47 190 1054 327 330 1141 326 331 1142 168 188 1052 206 192 1056 327 330 1141 328 329 1140 286 225 1082 286 225 1082 328 329 1140 2077 328 1139 2072 261 1106 73 302 133 330 325 233 329 326 234 212 255 58 204 114 5 331 324 232 332 323 210 285 115 6 58 198 27 333 322 209 332 323 210 171 195 24 203 118 9 333 322 209 334 321 208 284 128 19 61 205 34 335 320 207 334 321 208 174 203 32 202 129 20 335 320 207 336 319 206 283 232 43 66 211 40 337 318 205 336 319 206 177 209 38 200 316 203 338 317 204 323 295 126 298 293 124 299 8 36 218 9 37 2022 377 1188 2017 378 1189 218 9 37 300 23 72 2021 379 1190 2022 377 1188 300 23 72 219 25 85 2023 380 1191 2021 379 1190 220 335 1146 301 334 1145 674 381 1192 592 382 1193 301 334 1145 221 336 1147 593 383 1194 674 381 1192 222 338 1149 302 337 1148 675 384 1195 594 385 1196 302 337 1148 220 335 1146 592 382 1193 675 384 1195 223 340 1151 303 339 1150 676 386 1197 595 387 1198 303 339 1150 222 338 1149 594 385 1196 676 386 1197 224 342 1153 304 341 1152 677 388 1199 596 389 1200 304 341 1152 223 340 1151 595 387 1198 677 388 1199 225 344 1155 305 343 1154 678 390 1201 597 391 1202 305 343 1154 224 342 1153 596 389 1200 678 390 1201 226 346 1157 306 345 1156 679 392 1203 598 393 1204 306 345 1156 225 344 1155 597 391 1202 679 392 1203 2036 394 1205 2037 395 1206 680 396 1207 599 397 1208 2037 395 1206 2038 398 1209 600 399 1210 680 396 1207 2038 398 1209 2039 400 1211 608 401 1212 600 399 1210 31 86 3 308 85 2 2019 402 144 2033 403 2261 602 404 148 681 405 149 2019 402 2264 2020 406 2259 34 95 16 309 94 15 2032 407 2262 2031 408 2252 309 94 15 31 86 3 2033 403 2261 2032 407 2262 219 25 85 310 111 904 2024 409 1213 2023 380 1191 684 410 1214 604 411 1215 2025 412 1216 2026 413 1217 2034 414 2258 2035 415 2260 685 416 158 605 417 159 2035 415 1218 2036 394 1205 599 397 1208 685 416 1219 345 348 1159 346 347 1158 1971 418 1220 1970 419 1221 346 347 1158 226 346 1157 598 393 1204 1971 418 1220 2020 406 2259 2016 420 2257 686 421 161 602 404 148 2016 420 2257 2034 414 2258 605 417 159 686 421 161 229 126 113 313 156 112 2028 422 2255 2027 423 2256 313 156 112 230 158 115 2029 424 2254 2028 422 2255 230 158 115 314 162 119 2030 425 2253 2029 424 2254 314 162 119 34 95 16 2031 408 2252 2030 425 2253 343 350 1161 344 349 1160 1969 426 1222 1968 427 1223 344 349 1160 345 348 1159 1970 419 1221 1969 426 1222 2039 400 1211 2040 428 1224 689 429 1225 608 401 1212 2040 428 1224 2041 430 1226 612 431 1227 689 429 1225 221 336 1147 315 351 1162 690 432 1228 593 383 1194 2041 430 1226 2042 433 1229 692 434 1230 612 431 1227 2042 433 1229 2043 435 1231 434 436 1232 692 434 1230 88 375 1186 342 374 1185 1967 437 1233 435 438 1234 342 374 1185 343 350 1161 1968 427 1223 1967 437 1233 436 439 1235 353 440 1236 437 441 1237 622 442 1238 438 443 1239 352 444 1240 436 439 1235 622 442 1238 439 445 1241 352 444 1240 438 443 1239 623 446 1242 440 447 1243 354 448 1244 439 445 1241 623 446 1242 355 449 1245 356 450 1246 441 451 1247 443 452 1248 441 451 1247 357 453 1249 442 454 1250 443 452 1248 444 455 1251 353 440 1236 436 439 1235 624 456 1252 436 439 1235 352 444 1240 445 457 1253 624 456 1252 445 457 1253 359 458 1254 446 459 1255 624 456 1252 446 459 1255 358 460 1256 444 455 1251 624 456 1252 445 457 1253 352 444 1240 439 445 1241 625 461 1257 439 445 1241 354 448 1244 447 462 1258 625 461 1257 447 462 1258 360 463 1259 448 464 1260 625 461 1257 448 464 1260 359 458 1254 445 457 1253 625 461 1257 361 465 1261 357 453 1249 441 451 1247 626 466 1262 441 451 1247 356 450 1246 449 467 1263 626 466 1262 362 468 1264 363 469 1265 450 470 1266 451 471 1267 450 470 1266 356 450 1246 355 449 1245 451 471 1267 452 472 1268 358 460 1256 446 459 1255 627 473 1269 446 459 1255 359 458 1254 453 474 1270 627 473 1269 453 474 1270 365 475 1271 454 476 1272 627 473 1269 454 476 1272 364 477 1273 452 472 1268 627 473 1269 449 467 1263 356 450 1246 450 470 1266 456 478 1274 450 470 1266 363 469 1265 455 479 1275 456 478 1274 457 480 1276 363 469 1265 362 468 1264 458 481 1277 367 482 1278 366 483 1279 457 480 1276 458 481 1277 455 479 1275 363 469 1265 457 480 1276 460 484 1280 457 480 1276 366 483 1279 459 485 1281 460 484 1280 369 486 1282 368 487 1283 462 488 1284 461 489 1285 462 488 1284 366 483 1279 367 482 1278 461 489 1285 459 485 1281 366 483 1279 462 488 1284 464 490 1286 462 488 1284 368 487 1283 463 491 1287 464 490 1286 371 492 1288 370 493 1289 466 494 1290 465 495 1291 466 494 1290 368 487 1283 369 486 1282 465 495 1291 463 491 1287 368 487 1283 466 494 1290 468 496 1292 466 494 1290 370 493 1289 467 497 1293 468 496 1292 372 498 1294 373 499 1295 469 500 1296 628 501 1297 469 500 1296 370 493 1289 371 492 1288 628 501 1297 467 497 1293 370 493 1289 469 500 1296 471 502 1298 469 500 1296 373 499 1295 470 503 1299 471 502 1298 375 504 1300 472 505 1301 1965 506 1302 1964 507 1303 472 505 1301 377 508 1304 1966 509 1305 1965 506 1302 1966 509 1305 376 510 1306 473 511 1307 1965 506 1302 473 511 1307 374 512 1308 1964 507 1303 1965 506 1302 474 513 1309 378 514 1310 475 515 1311 629 516 1312 475 515 1311 379 517 1313 476 518 1314 629 516 1312 476 518 1314 377 508 1304 472 505 1301 629 516 1312 472 505 1301 375 504 1300 474 513 1309 629 516 1312 476 518 1314 379 517 1313 399 519 1315 477 520 1316 476 518 1314 477 520 1316 380 521 1317 377 508 1304 478 522 162 381 523 163 479 524 164 630 525 165 479 524 174 382 526 175 480 527 176 630 525 177 480 527 176 384 528 178 481 529 179 630 525 177 481 529 166 383 530 167 478 522 162 630 525 165 482 531 168 385 532 169 483 533 170 631 534 171 483 533 170 381 523 163 478 522 162 631 534 171 478 522 162 383 530 167 484 535 172 631 534 171 484 535 172 386 536 173 482 531 168 631 534 171 485 537 180 386 536 173 484 535 172 632 538 181 484 535 172 383 530 167 486 539 182 632 538 181 486 539 182 387 540 183 511 541 184 632 538 181 511 541 184 390 542 185 485 537 180 632 538 181 487 543 186 391 544 187 488 545 188 633 546 189 488 545 188 388 547 190 489 548 191 633 546 189 489 548 191 386 536 173 485 537 180 633 546 189 485 537 180 390 542 185 487 543 186 633 546 189 453 474 1270 359 458 1254 448 464 1260 634 549 1318 448 464 1260 360 463 1259 490 550 1319 634 549 1318 490 550 1319 389 551 1320 491 552 1321 634 549 1318 491 552 1321 365 475 1271 453 474 1270 634 549 1318 575 553 236 405 554 237 492 555 238 659 556 239 492 555 238 403 557 240 574 558 241 659 556 239 454 476 1272 365 475 1271 493 559 1322 635 560 1323 493 559 1322 391 544 1324 487 543 1325 635 560 1323 487 543 1325 390 542 1326 494 561 1327 635 560 1323 494 561 1327 364 477 1273 454 476 1272 635 560 1323 491 552 1321 389 551 1320 495 562 1328 636 563 1329 495 562 1328 392 564 1330 508 565 1331 636 563 1329 508 565 1331 391 544 1324 493 559 1322 636 563 1329 493 559 1322 365 475 1271 491 552 1321 636 563 1329 496 566 242 406 567 243 573 568 244 658 569 245 574 558 241 403 557 240 496 566 242 658 569 245 651 570 1332 2087 571 1333 2088 572 1334 552 573 1335 497 574 1336 378 514 1310 474 513 1309 637 575 1337 474 513 1309 375 504 1300 498 576 1338 637 575 1337 498 576 211 394 577 212 499 578 213 637 575 214 499 578 213 395 579 215 497 574 216 637 575 214 397 580 1339 396 581 1340 501 582 1341 500 583 1342 501 582 1341 373 499 1295 372 498 1294 500 583 1342 502 584 1343 374 512 1308 473 511 1307 638 585 1344 473 511 1307 376 510 1306 503 586 1345 638 585 1344 503 586 1345 397 580 1339 500 583 1342 638 585 1344 500 583 1342 372 498 1294 502 584 1343 638 585 1344 470 503 1299 373 499 1295 501 582 1341 505 587 1346 501 582 1341 396 581 1340 504 588 1347 505 587 1346 609 589 1348 1966 509 1305 377 508 1304 380 521 1317 609 589 1348 398 590 1349 376 510 1306 1966 509 1305 506 591 217 384 528 178 480 527 176 639 592 218 480 527 176 382 526 175 507 593 219 639 592 218 507 593 219 395 579 215 499 578 213 639 592 218 499 578 213 394 577 212 506 591 217 639 592 218 508 565 192 392 564 193 509 594 194 640 595 195 509 594 194 400 596 196 510 597 197 640 595 195 510 597 197 388 547 190 488 545 188 640 595 195 488 545 188 391 544 187 508 565 192 640 595 195 506 591 217 394 577 212 538 598 226 641 599 227 538 598 198 387 540 183 486 539 182 641 599 199 486 539 182 383 530 167 481 529 166 641 599 199 481 529 179 384 528 178 506 591 217 641 599 227 489 548 191 388 547 190 510 597 197 642 600 220 510 597 197 400 596 196 512 601 221 642 600 220 512 601 221 385 532 169 482 531 168 642 600 220 482 531 168 386 536 173 489 548 191 642 600 220 504 588 1347 396 581 1340 513 602 1350 620 603 1351 513 602 1350 429 604 1352 621 605 1353 620 603 1351 515 606 1354 398 590 1349 516 607 1355 643 608 1356 516 607 1355 427 609 1357 618 610 1358 643 608 1356 618 610 1358 428 611 1359 617 612 1360 643 608 1356 617 612 1360 397 580 1339 515 606 1354 643 608 1356 428 611 1359 429 604 1352 513 602 1350 617 612 1360 513 602 1350 396 581 1340 397 580 1339 617 612 1360 516 607 1355 398 590 1349 609 589 1348 644 613 1361 609 589 1348 380 521 1317 610 614 1362 644 613 1361 610 614 1362 426 615 1363 616 616 1364 644 613 1361 616 616 1364 427 609 1357 516 607 1355 644 613 1361 442 454 1250 357 453 1249 520 617 1365 519 618 1366 521 619 1367 401 620 1368 522 621 1369 645 622 1370 522 621 1369 442 454 1250 519 618 1366 645 622 1370 437 441 1237 353 440 1236 579 623 1371 661 624 1372 520 617 1365 357 453 1249 361 465 1261 523 625 1373 522 621 1369 401 620 1368 524 626 1374 646 627 1375 524 626 1374 402 628 1376 525 629 1377 646 627 1375 525 629 1377 355 449 1245 443 452 1248 646 627 1375 443 452 1248 442 454 1250 522 621 1369 646 627 1375 579 623 1371 353 440 1236 444 455 1251 660 630 1378 444 455 1251 358 460 1256 578 631 1379 660 630 1378 526 632 2273 409 633 247 527 634 248 647 635 2268 527 634 248 404 636 250 528 637 251 647 635 2268 528 637 1380 410 638 1381 529 639 1382 647 635 1383 529 639 1382 408 640 1384 526 632 1385 647 635 1383 528 637 251 404 636 250 530 641 255 648 642 2269 530 641 255 407 643 257 531 644 258 648 642 2269 531 644 1386 411 645 1387 532 646 1388 648 642 1389 532 646 1388 410 638 1381 528 637 1380 648 642 1389 531 644 258 407 643 257 533 647 261 649 648 2272 533 647 261 412 649 263 534 650 264 649 648 2272 534 650 1390 413 651 1391 535 652 1392 649 648 1393 535 652 1392 411 645 1387 531 644 1386 649 648 1393 393 653 1394 374 512 1308 502 584 1343 537 654 1395 502 584 1343 372 498 1294 628 501 1297 537 654 1395 628 501 1297 371 492 1288 536 655 1396 537 654 1395 503 586 1345 376 510 1306 398 590 1349 515 606 1354 515 606 1354 397 580 1339 503 586 1345 536 655 1396 371 492 1288 465 495 1291 540 656 1397 465 495 1291 369 486 1282 539 657 1398 540 656 1397 539 657 1398 369 486 1282 461 489 1285 542 658 1399 461 489 1285 367 482 1278 541 659 1400 542 658 1399 541 659 1400 367 482 1278 458 481 1277 544 660 1401 458 481 1277 362 468 1264 543 661 1402 544 660 1401 525 629 1377 402 628 1376 545 662 1403 546 663 1404 543 661 1402 362 468 1264 451 471 1267 546 663 1404 451 471 1267 355 449 1245 525 629 1377 546 663 1404 578 631 1379 358 460 1256 452 472 1268 577 664 1405 452 472 1268 364 477 1273 547 665 1406 577 664 1405 547 665 1406 364 477 1273 494 561 1327 549 666 1407 494 561 1327 390 542 1326 548 667 1408 549 666 1407 511 541 1409 387 540 1410 550 668 1411 551 669 1412 548 667 1408 390 542 1326 511 541 1409 551 669 1412 550 668 1411 387 540 1410 538 598 1413 650 670 1414 538 598 1413 394 577 1415 552 573 1335 650 670 1414 573 568 244 406 567 243 553 671 267 657 672 268 572 673 269 657 672 268 553 671 267 414 674 270 552 573 1335 394 577 1415 498 576 1338 651 570 1332 651 570 1332 498 576 1338 375 504 1300 1964 507 1303 1945 675 1416 549 666 1407 548 667 1408 2091 676 1417 2092 677 1418 580 678 271 663 679 272 652 680 273 554 681 274 663 679 272 582 682 275 555 683 276 652 680 273 2093 684 1419 547 665 1406 549 666 1407 2092 677 1418 551 669 1412 550 668 1411 2095 685 1420 2090 686 1421 581 687 277 662 688 278 653 689 279 556 690 280 662 688 278 580 678 271 554 681 274 653 689 279 2091 676 1417 548 667 1408 551 669 1412 2090 686 1421 546 663 1404 545 662 1403 2097 691 1422 2098 692 1423 584 693 281 667 694 282 654 695 2270 557 696 284 667 694 1424 586 697 1425 558 698 1426 654 695 1427 2099 699 1428 543 661 1402 546 663 1404 2098 692 1423 577 664 1405 547 665 1406 2093 684 1419 2094 700 1429 582 682 275 665 701 287 2060 702 288 555 683 276 544 660 1401 543 661 1402 2099 699 1428 2100 703 1430 586 697 1425 666 704 1431 2061 705 1432 558 698 1426 666 704 1431 585 706 1433 559 707 1434 2061 705 1432 2101 708 1435 541 659 1400 544 660 1401 2100 703 1430 542 658 1399 541 659 1400 2101 708 1435 2102 709 1436 585 706 1433 668 710 1437 2062 711 1438 559 707 1434 668 710 1437 587 712 1439 560 713 1440 2062 711 1438 2103 714 1441 539 657 1398 542 658 1399 2102 709 1436 537 654 1395 536 655 1396 2105 715 1442 2106 716 1443 588 717 1444 670 718 1445 655 719 1446 561 720 1447 670 718 2275 589 721 301 562 722 302 655 719 299 2107 723 1448 393 653 1394 537 654 1395 2106 716 1443 540 656 1397 539 657 1398 2103 714 1441 2104 724 1449 587 712 1439 669 725 1450 2063 726 1451 560 713 1440 669 725 1450 588 717 1444 561 720 1447 2063 726 1451 2105 715 1442 536 655 1396 540 656 1397 2104 724 1449 650 670 1414 552 573 1335 2088 572 1334 2089 727 1452 583 728 305 664 729 306 2059 730 307 2058 731 308 664 729 306 581 687 277 556 690 280 2059 730 307 2095 685 1420 550 668 1411 650 670 1414 2089 727 1452 671 732 309 583 728 305 2058 731 308 656 733 310 1947 734 311 671 732 309 656 733 310 1946 735 970 563 736 971 416 737 972 403 557 240 492 555 238 563 736 971 492 555 238 405 554 237 417 738 973 564 739 974 415 740 975 406 567 243 496 566 242 564 739 974 496 566 242 403 557 240 416 737 972 565 741 2274 419 742 977 409 633 247 526 632 2273 565 741 1453 526 632 1385 408 640 1384 420 743 1454 576 744 979 417 738 973 405 554 237 575 553 236 566 745 1455 420 743 1454 408 640 1384 529 639 1382 566 745 1455 529 639 1382 410 638 1381 421 746 1456 567 747 1457 421 746 1456 410 638 1381 532 646 1388 567 747 1457 532 646 1388 411 645 1387 422 748 1458 568 749 1459 423 750 1460 413 651 1391 534 650 1390 568 749 984 534 650 264 412 649 263 424 751 986 569 752 1461 422 748 1458 411 645 1387 535 652 1392 569 752 1461 535 652 1392 413 651 1391 423 750 1460 570 753 988 418 754 989 414 674 270 553 671 267 570 753 988 553 671 267 406 567 243 415 740 975 414 674 270 418 754 989 571 755 990 572 673 269 572 673 269 571 755 990 1963 756 991 1962 757 992 424 751 986 412 649 263 1962 757 992 1963 756 991 657 672 268 572 673 269 1962 757 992 1961 758 993 533 647 261 407 643 257 1960 759 994 1961 758 993 658 569 245 573 568 244 1960 759 994 1959 760 995 530 641 255 404 636 250 1958 761 996 1959 760 995 659 556 239 574 558 241 1958 761 996 1957 762 997 527 634 248 409 633 247 1956 763 998 1957 762 997 576 744 979 575 553 236 1956 763 998 1955 764 999 409 633 247 419 742 977 1955 764 999 1956 763 998 2060 702 288 665 701 287 1954 765 1000 1953 766 1001 2097 691 1422 545 662 1403 1952 767 1462 2096 768 1463 545 662 1403 402 628 1376 1951 769 1464 1952 767 1462 660 630 1378 578 631 1379 1951 769 1464 1950 770 1465 524 626 1374 401 620 1368 1949 771 1466 1950 770 1465 661 624 1372 579 623 1371 1949 771 1466 1948 772 1467 564 739 974 416 737 972 580 678 271 662 688 278 581 687 277 415 740 975 564 739 974 662 688 278 582 682 275 417 738 973 576 744 979 665 701 287 580 678 271 416 737 972 563 736 971 663 679 272 563 736 971 417 738 973 582 682 275 663 679 272 570 753 988 415 740 975 581 687 277 664 729 306 583 728 305 418 754 989 570 753 988 664 729 306 665 701 287 576 744 979 1955 764 999 1954 765 1000 1954 765 1000 584 693 281 557 696 284 1953 766 1001 566 745 1455 421 746 1456 585 706 1433 666 704 1431 586 697 1425 420 743 1454 566 745 1455 666 704 1431 584 693 281 419 742 977 565 741 2274 667 694 282 565 741 1453 420 743 1454 586 697 1425 667 694 1424 585 706 1433 421 746 1456 567 747 1457 668 710 1437 567 747 1457 422 748 1458 587 712 1439 668 710 1437 587 712 1439 422 748 1458 569 752 1461 669 725 1450 569 752 1461 423 750 1460 588 717 1444 669 725 1450 589 721 301 1947 734 311 1946 735 970 562 722 302 589 721 301 424 751 986 1963 756 991 1947 734 311 588 717 1444 423 750 1460 568 749 1459 670 718 1445 568 749 984 424 751 986 589 721 301 670 718 2275 571 755 990 418 754 989 583 728 305 671 732 309 590 773 1468 354 448 1244 440 447 1243 672 774 1469 447 462 1258 354 448 1244 590 773 1468 673 775 1470 591 776 1471 360 463 1259 447 462 1258 673 775 1470 626 466 1262 449 467 1263 592 382 1193 674 381 1192 593 383 1194 361 465 1261 626 466 1262 674 381 1192 456 478 1274 455 479 1275 594 385 1196 675 384 1195 592 382 1193 449 467 1263 456 478 1274 675 384 1195 460 484 1280 459 485 1281 595 387 1198 676 386 1197 594 385 1196 455 479 1275 460 484 1280 676 386 1197 464 490 1286 463 491 1287 596 389 1200 677 388 1199 595 387 1198 459 485 1281 464 490 1286 677 388 1199 468 496 1292 467 497 1293 597 391 1202 678 390 1201 596 389 1200 463 491 1287 468 496 1292 678 390 1201 471 502 1298 470 503 1299 598 393 1204 679 392 1203 597 391 1202 467 497 1293 471 502 1298 679 392 1203 475 515 1311 378 514 1310 599 397 1208 680 396 1207 600 399 1210 379 517 1313 475 515 1311 680 396 1207 399 519 1315 379 517 1313 600 399 1210 608 401 1212 479 524 164 381 523 163 601 777 222 681 405 223 602 404 148 382 526 175 479 524 174 681 405 149 483 533 170 385 532 169 603 778 224 682 779 225 601 777 222 381 523 163 483 533 170 682 779 225 490 550 1319 360 463 1259 591 776 1471 683 780 1472 604 411 1215 389 551 1320 490 550 1319 683 780 1472 495 562 1328 389 551 1320 604 411 1215 684 410 1214 606 781 1473 392 564 1330 495 562 1328 684 410 1214 497 574 216 395 579 215 605 417 159 685 416 158 599 397 1208 378 514 1310 497 574 1336 685 416 1219 505 587 1346 504 588 1347 1970 419 1221 1971 418 1220 505 587 1346 1971 418 1220 598 393 1204 470 503 1299 507 593 219 382 526 175 602 404 148 686 421 161 605 417 159 395 579 215 507 593 219 686 421 161 509 594 194 392 564 193 606 781 228 687 782 229 607 783 230 400 596 196 509 594 194 687 782 229 512 601 221 400 596 196 607 783 230 688 784 231 603 778 224 385 532 169 512 601 221 688 784 231 620 603 1351 621 605 1353 1968 427 1223 1969 426 1222 620 603 1351 1969 426 1222 1970 419 1221 504 588 1347 518 785 1474 399 519 1315 608 401 1212 689 429 1225 612 431 1227 425 786 1475 518 785 1474 689 429 1225 523 625 1373 361 465 1261 593 383 1194 690 432 1228 610 614 1362 380 521 1317 477 520 1316 691 787 1476 477 520 1316 399 519 1315 518 785 1474 691 787 1476 518 785 1474 425 786 1475 614 788 1477 691 787 1476 614 788 1477 426 615 1363 610 614 1362 691 787 1476 611 789 1478 425 786 1475 612 431 1227 692 434 1230 434 436 1232 350 790 1479 611 789 1478 692 434 1230 613 791 1480 426 615 1363 614 788 1477 693 792 1481 614 788 1477 425 786 1475 611 789 1478 693 792 1481 611 789 1478 350 790 1479 433 793 1482 693 792 1481 433 793 1482 349 794 1483 613 791 1480 693 792 1481 615 795 1484 427 609 1357 616 616 1364 694 796 1485 616 616 1364 426 615 1363 613 791 1480 694 796 1485 613 791 1480 349 794 1483 432 797 1486 694 796 1485 432 797 1486 348 798 1487 615 795 1484 694 796 1485 618 610 1358 427 609 1357 615 795 1484 695 799 1488 615 795 1484 348 798 1487 431 800 1489 695 799 1488 431 800 1489 347 801 1490 517 802 1491 695 799 1488 517 802 1491 428 611 1359 618 610 1358 695 799 1488 347 801 1490 351 803 1492 619 804 1493 517 802 1491 619 804 1493 429 604 1352 428 611 1359 517 802 1491 621 605 1353 429 604 1352 619 804 1493 514 805 1494 619 804 1493 351 803 1492 430 806 1495 514 805 1494 1968 427 1223 621 605 1353 514 805 1494 1967 437 1233 514 805 1494 430 806 1495 435 438 1234 1967 437 1233 696 807 1496 697 808 1497 710 809 1498 709 810 1499 697 808 1497 698 811 1500 711 812 1501 710 809 1498 698 811 1500 699 813 1502 712 814 1503 711 812 1501 699 813 1502 700 815 1504 713 816 1505 712 814 1503 700 815 1504 701 817 1506 714 818 1507 713 816 1505 701 817 1506 702 819 1508 715 820 1509 714 818 1507 702 819 1508 703 821 1510 716 822 1511 715 820 1509 703 821 1510 704 823 1512 717 824 1513 716 822 1511 704 823 1512 705 825 1514 718 826 1515 717 824 1513 705 825 1514 706 827 1516 719 828 1517 718 826 1515 706 827 1516 707 829 1518 720 830 1519 719 828 1517 707 829 1518 1331 831 1520 721 832 1521 720 830 1519 708 833 1522 722 834 1523 1979 835 1524 1980 836 1525 709 810 1499 710 809 1498 724 837 1526 723 838 1527 710 809 1498 711 812 1501 725 839 1528 724 837 1526 711 812 1501 712 814 1503 726 840 1529 725 839 1528 712 814 1503 713 816 1505 727 841 1530 726 840 1529 713 816 1505 714 818 1507 728 842 1531 727 841 1530 714 818 1507 715 820 1509 729 843 1532 728 842 1531 715 820 1509 716 822 1511 730 844 1533 729 843 1532 716 822 1511 717 824 1513 731 845 1534 730 844 1533 717 824 1513 718 826 1515 732 846 1535 731 845 1534 718 826 1515 719 828 1517 733 847 1536 732 846 1535 719 828 1517 720 830 1519 734 848 1537 733 847 1536 1333 849 1538 721 832 1521 1979 835 1524 1982 850 1539 723 838 1527 724 837 1526 737 851 1540 736 852 1541 724 837 1526 725 839 1528 738 853 1542 737 851 1540 725 839 1528 726 840 1529 739 854 1543 738 853 1542 726 840 1529 727 841 1530 740 855 1544 739 854 1543 727 841 1530 728 842 1531 741 856 1545 740 855 1544 728 842 1531 729 843 1532 742 857 1546 741 856 1545 729 843 1532 730 844 1533 743 858 1547 742 857 1546 730 844 1533 731 845 1534 744 859 1548 743 858 1547 731 845 1534 732 846 1535 745 860 1549 744 859 1548 732 846 1535 733 847 1536 746 861 1550 745 860 1549 733 847 1536 734 848 1537 747 862 1551 746 861 1550 1334 863 1552 1333 849 1538 1982 850 1539 1983 864 1553 736 852 1541 737 851 1540 750 865 1554 749 866 1555 737 851 1540 738 853 1542 751 867 1556 750 865 1554 738 853 1542 739 854 1543 752 868 1557 751 867 1556 739 854 1543 740 855 1544 753 869 1558 752 868 1557 740 855 1544 741 856 1545 754 870 1559 753 869 1558 741 856 1545 742 857 1546 755 871 1560 754 870 1559 742 857 1546 743 858 1547 756 872 1561 755 871 1560 743 858 1547 744 859 1548 757 873 1562 756 872 1561 744 859 1548 745 860 1549 758 874 1563 757 873 1562 745 860 1549 746 861 1550 759 875 1564 758 874 1563 746 861 1550 747 862 1551 760 876 1565 759 875 1564 1335 877 1566 1334 863 1552 1983 864 1553 1984 878 1567 749 866 1555 750 865 1554 763 879 1568 762 880 1569 750 865 1554 751 867 1556 764 881 1570 763 879 1568 751 867 1556 752 868 1557 765 882 1571 764 881 1570 752 868 1557 753 869 1558 766 883 1572 765 882 1571 753 869 1558 754 870 1559 767 884 1573 766 883 1572 754 870 1559 755 871 1560 768 885 1574 767 884 1573 755 871 1560 756 872 1561 769 886 1575 768 885 1574 756 872 1561 757 873 1562 770 887 1576 769 886 1575 757 873 1562 758 874 1563 771 888 1577 770 887 1576 758 874 1563 759 875 1564 772 889 1578 771 888 1577 759 875 1564 760 876 1565 773 890 1579 772 889 1578 1336 891 1580 1335 877 1566 1984 878 1567 1981 892 1581 762 880 1569 763 879 1568 776 893 1582 775 894 1583 763 879 1568 764 881 1570 777 895 1584 776 893 1582 764 881 1570 765 882 1571 778 896 1585 777 895 1584 765 882 1571 766 883 1572 779 897 1586 778 896 1585 766 883 1572 767 884 1573 780 898 1587 779 897 1586 767 884 1573 768 885 1574 781 899 1588 780 898 1587 768 885 1574 769 886 1575 782 900 1589 781 899 1588 769 886 1575 770 887 1576 783 901 1590 782 900 1589 770 887 1576 771 888 1577 784 902 1591 783 901 1590 771 888 1577 772 889 1578 785 903 1592 784 902 1591 772 889 1578 773 890 1579 786 904 1593 785 903 1592 2 361 1172 1336 891 1580 1981 892 1581 87 359 1170 775 894 1583 776 893 1582 788 905 1594 787 906 1595 776 893 1582 777 895 1584 789 907 1596 788 905 1594 777 895 1584 778 896 1585 790 908 1597 789 907 1596 778 896 1585 779 897 1586 791 909 1598 790 908 1597 779 897 1586 780 898 1587 792 910 1599 791 909 1598 780 898 1587 781 899 1588 793 911 1600 792 910 1599 781 899 1588 782 900 1589 794 912 1601 793 911 1600 782 900 1589 783 901 1590 795 913 1602 794 912 1601 783 901 1590 784 902 1591 796 914 1603 795 913 1602 784 902 1591 785 903 1592 797 915 1604 796 914 1603 785 903 1592 786 904 1593 798 916 1605 797 915 1604 787 906 1595 788 905 1594 800 917 1606 799 918 1607 788 905 1594 789 907 1596 801 919 1608 800 917 1606 789 907 1596 790 908 1597 802 920 1609 801 919 1608 790 908 1597 791 909 1598 803 921 1610 802 920 1609 791 909 1598 792 910 1599 804 922 1611 803 921 1610 792 910 1599 793 911 1600 805 923 1612 804 922 1611 793 911 1600 794 912 1601 806 924 1613 805 923 1612 794 912 1601 795 913 1602 807 925 1614 806 924 1613 795 913 1602 796 914 1603 808 926 1615 807 925 1614 796 914 1603 797 915 1604 809 927 1616 808 926 1615 797 915 1604 798 916 1605 810 928 1617 809 927 1616 799 918 1607 800 917 1606 812 929 1618 811 930 1619 800 917 1606 801 919 1608 813 931 1620 812 929 1618 801 919 1608 802 920 1609 814 932 1621 813 931 1620 802 920 1609 803 921 1610 815 933 1622 814 932 1621 803 921 1610 804 922 1611 816 934 1623 815 933 1622 804 922 1611 805 923 1612 817 935 1624 816 934 1623 805 923 1612 806 924 1613 818 936 1625 817 935 1624 806 924 1613 807 925 1614 819 937 1626 818 936 1625 807 925 1614 808 926 1615 820 938 1627 819 937 1626 808 926 1615 809 927 1616 821 939 1628 820 938 1627 809 927 1616 810 928 1617 822 940 1629 821 939 1628 811 930 1619 812 929 1618 824 941 1630 823 942 1631 812 929 1618 813 931 1620 825 943 1632 824 941 1630 813 931 1620 814 932 1621 826 944 1633 825 943 1632 814 932 1621 815 933 1622 827 945 1634 826 944 1633 815 933 1622 816 934 1623 828 946 1635 827 945 1634 816 934 1623 817 935 1624 829 947 1636 828 946 1635 817 935 1624 818 936 1625 830 948 1637 829 947 1636 818 936 1625 819 937 1626 831 949 1638 830 948 1637 819 937 1626 820 938 1627 832 950 1639 831 949 1638 820 938 1627 821 939 1628 833 951 1640 832 950 1639 821 939 1628 822 940 1629 834 952 1641 833 951 1640 823 942 1631 824 941 1630 835 953 1642 846 954 1643 824 941 1630 825 943 1632 836 955 1644 835 953 1642 825 943 1632 826 944 1633 837 956 1645 836 955 1644 826 944 1633 827 945 1634 838 957 1646 837 956 1645 827 945 1634 828 946 1635 839 958 1647 838 957 1646 828 946 1635 829 947 1636 840 959 1648 839 958 1647 829 947 1636 830 948 1637 841 960 1649 840 959 1648 830 948 1637 831 949 1638 842 961 1650 841 960 1649 831 949 1638 832 950 1639 843 962 1651 842 961 1650 832 950 1639 833 951 1640 844 963 1652 843 962 1651 833 951 1640 834 952 1641 845 964 1653 844 963 1652 846 954 1643 835 953 1642 848 965 1654 847 966 1655 835 953 1642 836 955 1644 849 967 1656 848 965 1654 836 955 1644 837 956 1645 850 968 1657 849 967 1656 837 956 1645 838 957 1646 851 969 1658 850 968 1657 838 957 1646 839 958 1647 852 970 1659 851 969 1658 839 958 1647 840 959 1648 853 971 1660 852 970 1659 840 959 1648 841 960 1649 854 972 1661 853 971 1660 841 960 1649 842 961 1650 855 973 1662 854 972 1661 842 961 1650 843 962 1651 856 974 1663 855 973 1662 843 962 1651 844 963 1652 857 975 1664 856 974 1663 844 963 1652 845 964 1653 858 976 1665 857 975 1664 847 966 1655 848 965 1654 860 977 1666 859 978 1667 848 965 1654 849 967 1656 861 979 1668 860 977 1666 849 967 1656 850 968 1657 862 980 1669 861 979 1668 853 971 1660 854 972 1661 863 981 1670 854 972 1661 855 973 1662 864 982 1671 863 981 1670 855 973 1662 856 974 1663 865 983 1672 864 982 1671 856 974 1663 857 975 1664 866 984 1673 865 983 1672 857 975 1664 858 976 1665 867 985 1674 866 984 1673 859 978 1667 860 977 1666 869 986 1675 868 987 1676 860 977 1666 861 979 1668 870 988 1677 869 986 1675 868 987 1676 869 986 1675 872 989 1678 871 990 1679 869 986 1675 870 988 1677 873 991 1680 872 989 1678 875 992 1681 874 993 1682 864 982 1671 865 983 1672 865 983 1672 866 984 1673 876 994 1683 875 992 1681 866 984 1673 867 985 1674 877 995 1684 876 994 1683 871 990 1679 872 989 1678 879 996 1685 878 997 1686 872 989 1678 873 991 1680 880 998 1687 879 996 1685 882 999 1688 881 1000 1689 874 993 1682 875 992 1681 875 992 1681 876 994 1683 883 1001 1690 882 999 1688 876 994 1683 877 995 1684 884 1002 1691 883 1001 1690 878 997 1686 879 996 1685 886 1003 1692 885 1004 1693 879 996 1685 880 998 1687 887 1005 1694 886 1003 1692 889 1006 1695 888 1007 1696 881 1000 1689 882 999 1688 882 999 1688 883 1001 1690 890 1008 1697 889 1006 1695 883 1001 1690 884 1002 1691 891 1009 1698 890 1008 1697 885 1004 1693 886 1003 1692 893 1010 1699 892 1011 1700 886 1003 1692 887 1005 1694 894 1012 1701 893 1010 1699 1313 1013 1702 888 1007 1696 889 1006 1695 895 1014 1703 889 1006 1695 890 1008 1697 896 1015 1704 895 1014 1703 890 1008 1697 891 1009 1698 1314 1016 1705 896 1015 1704 891 1009 1698 1337 1017 1706 897 1018 1707 1314 1016 1705 1985 1019 1708 1337 1017 1706 320 1020 1709 1986 1021 1710 892 1011 1700 893 1010 1699 899 1022 1711 898 1023 1712 893 1010 1699 894 1012 1701 900 1024 1713 899 1022 1711 1312 1025 1714 1311 1026 1715 906 1027 1716 905 1028 1717 697 808 1497 696 807 1496 907 1029 1718 698 811 1500 697 808 1497 907 1029 1718 699 813 1502 698 811 1500 907 1029 1718 700 815 1504 699 813 1502 907 1029 1718 701 817 1506 700 815 1504 907 1029 1718 702 819 1508 701 817 1506 907 1029 1718 703 821 1510 702 819 1508 907 1029 1718 704 823 1512 703 821 1510 907 1029 1718 705 825 1514 704 823 1512 907 1029 1718 706 827 1516 705 825 1514 907 1029 1718 707 829 1518 706 827 1516 907 1029 1718 707 829 1518 907 1029 1718 1331 831 1520 708 833 1522 1980 836 1525 907 1029 1718 941 1030 312 980 1031 313 1044 1032 314 1007 1033 315 1007 1033 315 1028 1034 316 956 1035 317 941 1030 312 942 1036 318 958 1037 319 1028 1034 316 1007 1033 315 1007 1033 315 1044 1032 314 981 1038 320 942 1036 318 943 1039 321 979 1040 322 1043 1041 323 1008 1042 324 1008 1042 324 1029 1043 325 955 1044 326 943 1039 321 941 1030 312 956 1035 317 1029 1043 325 1008 1042 324 1008 1042 324 1043 1041 323 980 1031 313 941 1030 312 944 1045 327 978 1046 328 1042 1047 329 1009 1048 330 1009 1048 330 1027 1049 331 953 1050 332 944 1045 327 943 1039 321 955 1044 326 1027 1049 331 1009 1048 330 1009 1048 330 1042 1047 329 979 1040 322 943 1039 321 945 1051 333 977 1052 334 1041 1053 335 1010 1054 336 1010 1054 336 1030 1055 337 960 1056 338 945 1051 333 944 1045 327 953 1050 332 1030 1055 337 1010 1054 336 1010 1054 336 1041 1053 335 978 1046 328 944 1045 327 1011 1057 339 1032 1058 340 964 1059 341 946 1060 342 945 1051 333 960 1056 338 1032 1058 340 1011 1057 339 1011 1057 339 946 1060 342 1066 1061 343 1067 1062 344 947 1063 345 976 1064 346 1040 1065 347 1012 1066 348 1012 1066 348 1034 1067 349 968 1068 350 947 1063 345 946 1060 342 964 1059 341 1034 1067 349 1012 1066 348 1012 1066 348 1040 1065 347 1066 1061 343 946 1060 342 948 1069 351 975 1070 352 1039 1071 353 1013 1072 354 1013 1072 354 1036 1073 355 971 1074 356 948 1069 351 947 1063 345 968 1068 350 1036 1073 355 1013 1072 354 1013 1072 354 1039 1071 353 976 1064 346 947 1063 345 949 1075 357 973 1076 358 1038 1077 359 1014 1078 360 1014 1078 360 1035 1079 361 967 1080 362 949 1075 357 948 1069 351 971 1074 356 1035 1079 361 1014 1078 360 1014 1078 360 1038 1077 359 975 1070 352 948 1069 351 950 1081 363 974 1082 364 1037 1083 365 1015 1084 366 1015 1084 366 1033 1085 367 963 1086 368 950 1081 363 949 1075 357 967 1080 362 1033 1085 367 1015 1084 366 1015 1084 366 1037 1083 365 973 1076 358 949 1075 357 942 1036 318 981 1038 320 1045 1087 369 1016 1088 370 1016 1088 370 1031 1089 371 958 1037 319 942 1036 318 950 1081 363 963 1086 368 1031 1089 371 1016 1088 370 1016 1088 370 1045 1087 369 974 1082 364 950 1081 363 1044 1032 314 1038 1077 359 973 1076 358 981 1038 320 986 1090 1719 1048 1091 1720 1907 1092 1721 1906 1093 1722 923 1094 1723 1017 1095 1724 1907 1092 1721 1908 1096 1725 990 1097 1726 1050 1098 1727 1911 1099 1728 1913 1100 1729 925 1101 1730 1018 1102 1731 1911 1099 1728 1909 1103 1732 909 1104 1733 1051 1105 1734 1905 1106 1735 1909 1103 1732 951 1107 1736 1019 1108 1737 1905 1106 1735 1906 1093 1722 908 1109 1738 1052 1110 1739 1910 1111 1740 1908 1096 1725 924 1112 1741 1020 1113 1742 1910 1111 1740 1912 1114 1743 910 1115 1744 1053 1116 1745 1914 1117 1746 1912 1114 1743 926 1118 1747 1021 1119 1748 1914 1117 1746 1916 1120 1749 927 1121 1750 1022 1122 1751 1918 1123 1752 1920 1124 1753 982 1125 1754 1046 1126 1755 1918 1123 1752 1916 1120 1749 984 1127 1756 1047 1128 1757 1922 1129 1758 1920 1124 1753 929 1130 1759 1023 1131 1760 1922 1129 1758 1924 1132 1761 911 1133 1762 1054 1134 1763 1923 1135 1764 1924 1132 1761 930 1136 1765 1024 1137 1766 1923 1135 1764 1921 1138 1767 988 1139 1768 1049 1140 1769 1919 1141 1770 1921 1138 1767 928 1142 1771 1025 1143 1772 1919 1141 1770 1917 1144 1773 912 1145 1774 1055 1146 1775 1915 1147 1776 1917 1144 1773 952 1148 1777 1026 1149 1778 1915 1147 1776 1913 1100 1729 953 1050 332 1027 1049 331 954 1150 969 914 1151 963 954 1152 969 1027 1049 331 955 1044 326 913 1153 967 956 1035 317 1028 1034 316 957 1154 968 916 1155 965 957 1156 968 1028 1034 316 958 1037 319 915 1157 962 955 1044 326 1029 1043 325 959 1158 966 913 1159 967 959 1160 966 1029 1043 325 956 1035 317 916 1161 965 960 1056 338 1030 1055 337 961 1162 964 917 1163 959 961 1164 964 1030 1055 337 953 1050 332 914 1165 963 958 1037 319 1031 1089 371 962 1166 961 915 1167 962 962 1168 961 1031 1089 371 963 1086 368 918 1169 958 964 1059 341 1032 1058 340 965 1170 960 919 1171 955 965 1172 960 1032 1058 340 960 1056 338 917 1173 959 963 1086 368 1033 1085 367 966 1174 957 918 1175 958 966 1176 957 1033 1085 367 967 1080 362 920 1177 954 968 1068 350 1034 1067 349 969 1178 956 921 1179 950 969 1180 956 1034 1067 349 964 1059 341 919 1181 955 967 1080 362 1035 1079 361 970 1182 953 920 1183 954 970 1184 953 1035 1079 361 971 1074 356 922 1185 952 971 1074 356 1036 1073 355 972 1186 951 922 1187 952 972 1188 951 1036 1073 355 968 1068 350 921 1189 950 914 1190 1779 954 1191 1780 1020 1113 1742 924 1112 1741 923 1094 1723 1020 1113 1742 954 1192 1780 913 1193 1781 916 1194 1782 957 1195 1783 1019 1108 1737 951 1107 1736 925 1101 1730 1019 1108 1737 957 1196 1783 915 1197 1784 923 1094 1723 913 1198 1781 959 1199 1785 1017 1095 1724 916 1200 1782 951 1107 1736 1017 1095 1724 959 1201 1785 917 1202 1786 961 1203 1787 1021 1119 1748 926 1118 1747 914 1204 1779 924 1112 1741 1021 1119 1748 961 1205 1787 925 1101 1730 915 1206 1784 962 1207 1788 1018 1102 1731 952 1148 1777 1018 1102 1731 962 1208 1788 918 1209 1789 919 1210 1790 965 1211 1791 1022 1122 1751 927 1121 1750 917 1212 1786 926 1118 1747 1022 1122 1751 965 1213 1791 952 1148 1777 918 1214 1789 966 1215 1792 1026 1149 1778 928 1142 1771 1026 1149 1778 966 1216 1792 920 1217 1793 921 1218 1794 969 1219 1795 1023 1131 1760 929 1130 1759 919 1220 1790 927 1121 1750 1023 1131 1760 969 1221 1795 928 1142 1771 920 1222 1793 970 1223 1796 1025 1143 1772 930 1136 1765 1025 1143 1772 970 1224 1796 922 1225 1797 930 1136 1765 922 1226 1797 972 1227 1798 1024 1137 1766 921 1228 1794 929 1130 1759 1024 1137 1766 972 1229 1798 984 1127 1756 1046 1126 1755 996 1230 1799 932 1231 1800 996 1230 1799 1046 1126 1755 982 1125 1754 931 1232 1801 911 1133 1762 1047 1128 1757 983 1233 1802 933 1234 1803 983 1233 1802 1047 1128 1757 984 1127 1756 932 1231 1800 908 1109 1738 1048 1091 1720 985 1235 1804 935 1236 1805 985 1235 1804 1048 1091 1720 986 1090 1719 934 1237 1806 912 1145 1774 1049 1140 1769 987 1238 1807 937 1239 1808 987 1238 1807 1049 1140 1769 988 1139 1768 936 1240 1809 909 1104 1733 1050 1098 1727 989 1241 1810 939 1242 1811 989 1241 1810 1050 1098 1727 990 1097 1726 938 1243 1812 986 1090 1719 1051 1105 1734 991 1244 1813 934 1237 1806 991 1244 1813 1051 1105 1734 909 1104 1733 939 1242 1811 910 1115 1744 1052 1110 1739 992 1245 1814 940 1246 1815 992 1245 1814 1052 1110 1739 908 1109 1738 935 1236 1805 982 1125 1754 1053 1116 1745 993 1247 1816 931 1232 1801 993 1247 1816 1053 1116 1745 910 1115 1744 940 1246 1815 988 1139 1768 1054 1134 1763 994 1248 1817 936 1240 1809 994 1248 1817 1054 1134 1763 911 1133 1762 933 1234 1803 990 1097 1726 1055 1146 1775 995 1249 1818 938 1243 1812 995 1249 1818 1055 1146 1775 912 1145 1774 937 1239 1808 996 1230 1799 1056 1250 1819 997 1251 1820 932 1231 1800 998 1252 1821 1056 1250 1819 996 1230 1799 931 1232 1801 983 1233 1802 1057 1253 1822 999 1254 1823 933 1234 1803 997 1251 1820 1057 1253 1822 983 1233 1802 932 1231 1800 985 1235 1804 1058 1255 1824 1000 1256 1825 935 1236 1805 1001 1257 1826 1058 1255 1824 985 1235 1804 934 1237 1806 987 1238 1807 1059 1258 1827 1002 1259 1828 937 1239 1808 1003 1260 1829 1059 1258 1827 987 1238 1807 936 1240 1809 989 1241 1810 1060 1261 1830 1004 1262 1831 939 1242 1811 1005 1263 1832 1060 1261 1830 989 1241 1810 938 1243 1812 991 1244 1813 1061 1264 1833 1001 1257 1826 934 1237 1806 1004 1262 1831 1061 1264 1833 991 1244 1813 939 1242 1811 992 1245 1814 1062 1265 1834 1006 1266 1835 940 1246 1815 1000 1256 1825 1062 1265 1834 992 1245 1814 935 1236 1805 993 1247 1816 1063 1267 1836 998 1252 1821 931 1232 1801 1006 1266 1835 1063 1267 1836 993 1247 1816 940 1246 1815 994 1248 1817 1064 1268 1837 1003 1260 1829 936 1240 1809 999 1254 1823 1064 1268 1837 994 1248 1817 933 1234 1803 995 1249 1818 1065 1269 1838 1005 1263 1832 938 1243 1812 1002 1259 1828 1065 1269 1838 995 1249 1818 937 1239 1808 973 1076 358 1037 1083 365 974 1082 364 1045 1087 369 981 1038 320 980 1031 313 1043 1041 323 1039 1071 353 975 1070 352 1044 1032 314 980 1031 313 975 1070 352 1038 1077 359 1043 1041 323 979 1040 322 976 1064 346 1039 1071 353 978 1046 328 1041 1053 335 977 1052 334 1067 1062 344 1066 1061 343 979 1040 322 1042 1047 329 1040 1065 347 976 1064 346 1011 1057 339 1067 1062 344 977 1052 334 945 1051 333 978 1046 328 1066 1061 343 1040 1065 347 1042 1047 329 997 1251 1820 1056 1250 1819 904 1270 1839 903 1271 1840 1056 1250 1819 998 1252 1821 1313 1013 1702 904 1270 1839 999 1254 1823 1057 1253 1822 902 1272 1841 901 1273 1842 1000 1256 1825 1058 1255 1824 863 981 1670 864 982 1671 1058 1255 1824 1001 1257 1826 853 971 1660 863 981 1670 1002 1259 1828 1059 1258 1827 887 1005 1694 880 998 1687 1059 1258 1827 1003 1260 1829 894 1012 1701 887 1005 1694 1004 1262 1831 1060 1261 1830 862 980 1669 851 969 1658 1060 1261 1830 1005 1263 1832 870 988 1677 862 980 1669 1001 1257 1826 1061 1264 1833 852 970 1659 853 971 1660 1061 1264 1833 1004 1262 1831 851 969 1658 852 970 1659 1006 1266 1835 1062 1265 1834 874 993 1682 881 1000 1689 1062 1265 1834 1000 1256 1825 864 982 1671 874 993 1682 1063 1267 1836 1006 1266 1835 881 1000 1689 888 1007 1696 1003 1260 1829 1064 1268 1837 900 1024 1713 894 1012 1701 1064 1268 1837 999 1254 1823 901 1273 1842 900 1024 1713 1005 1263 1832 1065 1269 1838 873 991 1680 870 988 1677 1065 1269 1838 1002 1259 1828 880 998 1687 873 991 1680 1057 1253 1822 997 1251 1820 903 1271 1840 902 1272 1841 870 988 1677 861 979 1668 862 980 1669 862 980 1669 850 968 1657 851 969 1658 1063 1267 1836 888 1007 1696 1313 1013 1702 998 1252 1821 1116 1274 372 1237 1275 373 1117 1276 374 1151 1277 375 1237 1275 373 1152 1278 376 1117 1276 374 1153 1279 377 1238 1280 378 1092 1281 379 1070 1282 380 1308 1283 381 1238 1280 378 1153 1279 377 1309 1284 382 1153 1279 377 1239 1285 383 1310 1286 384 1309 1284 382 1110 1287 385 1287 1288 386 1239 1285 383 1093 1289 387 1093 1289 387 1239 1285 383 1153 1279 377 1070 1282 380 1219 1290 388 1118 1291 389 1154 1292 390 1297 1293 391 1113 1294 392 1115 1295 393 1297 1293 391 1154 1292 390 1120 1296 394 1112 1297 395 1150 1298 396 1155 1299 397 1071 1300 398 1155 1299 397 1150 1301 396 1069 1302 399 1154 1292 390 1240 1303 400 1156 1304 401 1113 1305 392 1156 1306 401 1240 1303 400 1277 1307 402 1114 1308 403 1277 1307 402 1240 1303 400 1157 1309 404 1222 1310 405 1157 1309 404 1240 1303 400 1154 1292 390 1118 1291 389 1218 1311 406 1121 1312 407 1158 1313 408 1274 1314 409 1219 1290 388 1274 1314 409 1158 1313 408 1118 1291 389 1159 1315 410 1241 1316 411 1160 1317 412 1123 1318 413 1160 1317 412 1241 1316 411 1245 1319 414 1124 1320 415 1245 1319 414 1241 1316 411 1161 1321 416 1161 1321 416 1241 1316 411 1159 1315 410 1122 1322 417 1162 1323 418 1242 1324 419 1119 1325 420 1120 1296 394 1220 1326 421 1242 1324 419 1162 1323 418 1125 1327 422 1162 1323 418 1243 1328 423 1163 1329 424 1125 1327 422 1163 1329 424 1243 1328 423 1094 1330 425 1072 1331 426 1094 1330 425 1243 1328 423 1155 1299 397 1071 1300 398 1155 1299 397 1243 1328 423 1162 1323 418 1120 1296 394 1278 1332 427 1244 1333 428 1164 1334 429 1223 1335 430 1164 1334 429 1244 1333 428 1158 1313 408 1121 1312 407 1158 1313 408 1244 1333 428 1157 1309 404 1118 1291 389 1157 1309 404 1244 1333 428 1278 1332 427 1222 1310 405 1124 1320 415 1245 1319 414 1165 1336 431 1126 1337 432 1165 1336 431 1245 1319 414 1166 1338 433 1208 1339 434 1129 1340 435 1167 1341 436 1128 1342 437 1167 1341 436 1129 1340 435 1296 1343 438 1209 1344 439 1168 1345 440 1246 1346 441 1095 1347 442 1073 1348 443 1095 1347 442 1246 1346 441 1266 1349 444 1074 1350 445 1266 1349 444 1246 1346 441 1167 1341 436 1209 1344 439 1167 1341 436 1246 1346 441 1168 1345 440 1128 1342 437 1228 1351 446 1247 1352 447 1170 1353 448 1131 1354 449 1170 1353 448 1247 1352 447 1169 1355 450 1130 1356 451 1171 1357 452 1248 1358 453 1172 1359 454 1132 1360 455 1172 1359 454 1248 1358 453 1237 1275 373 1116 1274 372 1171 1357 452 1301 1361 456 1174 1362 457 1248 1358 453 1237 1275 373 1248 1358 453 1173 1363 458 1152 1278 376 1173 1363 458 1248 1358 453 1174 1362 457 1133 1364 459 1175 1365 460 1249 1366 461 1307 1367 462 1306 1368 463 1307 1367 462 1249 1366 461 1238 1280 378 1308 1283 381 1238 1280 378 1249 1366 461 1096 1369 464 1092 1281 379 1096 1369 464 1249 1366 461 1175 1365 460 1075 1370 465 1218 1311 406 1273 1371 466 1176 1372 467 1121 1312 407 1134 1373 468 1135 1374 469 1176 1372 467 1273 1371 466 1177 1375 470 1250 1376 471 1178 1377 472 1136 1378 473 1178 1377 472 1250 1376 471 1179 1379 474 1137 1380 475 1179 1379 474 1250 1376 471 1171 1357 452 1132 1360 455 1180 1381 476 1251 1382 477 1177 1375 470 1136 1378 473 1181 1383 478 1235 1384 479 1174 1362 457 1301 1361 456 1181 1383 478 1251 1382 477 1182 1385 480 1126 1337 432 1182 1385 480 1251 1382 477 1180 1381 476 1138 1386 481 1183 1387 482 1252 1388 483 1179 1379 474 1132 1360 455 1179 1379 474 1252 1388 483 1184 1389 484 1137 1380 475 1184 1389 484 1252 1388 483 1286 1390 485 1232 1391 486 1286 1390 485 1252 1388 483 1183 1387 482 1233 1392 487 1139 1393 488 1217 1394 489 1272 1395 490 1185 1396 491 1216 1397 492 1140 1398 493 1185 1396 491 1272 1395 490 1186 1399 494 1253 1400 495 1187 1401 496 1142 1402 497 1187 1401 496 1253 1400 495 1188 1403 498 1144 1404 499 1188 1403 498 1253 1400 495 1189 1405 500 1143 1406 501 1189 1405 500 1253 1400 495 1186 1399 494 1141 1407 502 1190 1408 503 1254 1409 504 1191 1410 505 1145 1411 506 1191 1410 505 1254 1409 504 1192 1412 507 1130 1356 451 1192 1412 507 1254 1409 504 1186 1399 494 1142 1402 497 1186 1399 494 1254 1409 504 1190 1408 503 1141 1407 502 1193 1413 508 1255 1414 509 1281 1415 510 1225 1416 511 1281 1415 510 1255 1414 509 1194 1417 512 1226 1418 513 1194 1417 512 1255 1414 509 1185 1396 491 1140 1398 493 1185 1396 491 1255 1414 509 1193 1413 508 1139 1393 488 1195 1419 514 1256 1420 515 1188 1403 498 1143 1406 501 1188 1403 498 1256 1420 515 1196 1421 516 1144 1404 499 1196 1421 516 1256 1420 515 1284 1422 517 1230 1423 518 1284 1422 517 1256 1420 515 1195 1419 514 1231 1424 519 1216 1397 492 1271 1425 520 1194 1417 512 1140 1398 493 1227 1426 521 1226 1418 513 1194 1417 512 1271 1425 520 1197 1427 522 1257 1428 523 1283 1429 524 1229 1430 525 1283 1429 524 1257 1428 523 1196 1421 516 1230 1423 518 1196 1421 516 1257 1428 523 1187 1401 496 1144 1404 499 1187 1401 496 1257 1428 523 1197 1427 522 1142 1402 497 1198 1431 526 1258 1432 527 1220 1326 421 1125 1327 422 1221 1433 528 1258 1432 527 1198 1431 526 1146 1434 529 1200 1435 530 1259 1436 531 1199 1437 532 1147 1438 533 1174 1362 457 1260 1439 534 1201 1440 535 1133 1364 459 1302 1441 536 1304 1442 537 1305 1443 538 1201 1440 535 1198 1431 526 1261 1444 539 1203 1445 540 1146 1434 529 1203 1445 540 1261 1444 539 1097 1446 541 1076 1447 542 1097 1446 541 1261 1444 539 1163 1329 424 1072 1331 426 1163 1329 424 1261 1444 539 1198 1431 526 1125 1327 422 1305 1443 538 1262 1448 543 1175 1365 460 1306 1368 463 1175 1365 460 1262 1448 543 1098 1449 544 1075 1370 465 1098 1449 544 1262 1448 543 1204 1450 545 1077 1451 546 1204 1450 545 1262 1448 543 1305 1443 538 1304 1442 537 1148 1452 547 1276 1453 548 1221 1433 528 1146 1434 529 1199 1437 532 1206 1454 549 1205 1455 550 1147 1438 533 1265 1456 551 1303 1457 552 1304 1442 537 1302 1441 536 1078 1458 553 1263 1459 554 1203 1445 540 1076 1447 542 1203 1445 540 1263 1459 554 1148 1452 547 1146 1434 529 1204 1450 545 1264 1460 555 1099 1461 556 1077 1451 546 1303 1457 552 1264 1460 555 1204 1450 545 1304 1442 537 1206 1454 549 1129 1340 435 1208 1339 434 1205 1455 550 1074 1350 445 1266 1349 444 1263 1459 554 1078 1458 553 1263 1459 554 1266 1349 444 1209 1344 439 1148 1452 547 1279 1462 557 1267 1463 558 1210 1464 559 1224 1465 560 1210 1464 559 1267 1463 558 1176 1372 467 1135 1374 469 1176 1372 467 1267 1463 558 1164 1334 429 1121 1312 407 1164 1334 429 1267 1463 558 1279 1462 557 1223 1335 430 1285 1466 561 1268 1467 562 1184 1389 484 1232 1391 486 1184 1389 484 1268 1467 562 1211 1468 563 1137 1380 475 1211 1468 563 1268 1467 562 1195 1419 514 1143 1406 501 1195 1419 514 1268 1467 562 1285 1466 561 1231 1424 519 1149 1469 564 1269 1470 565 1212 1471 566 1145 1411 506 1212 1471 566 1269 1470 565 1213 1472 567 1138 1386 481 1134 1373 468 1300 1473 568 1214 1474 569 1135 1374 469 1139 1393 488 1214 1474 569 1300 1473 568 1217 1394 489 1215 1475 570 1270 1476 571 1189 1405 500 1141 1407 502 1189 1405 500 1270 1476 571 1211 1468 563 1143 1406 501 1211 1468 563 1270 1476 571 1178 1377 472 1137 1380 475 1178 1377 472 1270 1476 571 1215 1475 570 1136 1378 473 1227 1426 521 1271 1425 520 1247 1352 447 1228 1351 446 1247 1352 447 1271 1425 520 1216 1397 492 1169 1355 450 1216 1397 492 1272 1395 490 1293 1477 572 1169 1355 450 1293 1477 572 1272 1395 490 1217 1394 489 1149 1469 564 1134 1373 468 1273 1371 466 1290 1478 573 1213 1472 567 1290 1478 573 1273 1371 466 1218 1311 406 1124 1320 415 1218 1311 406 1274 1314 409 1160 1317 412 1124 1320 415 1160 1317 412 1274 1314 409 1219 1290 388 1123 1318 413 1115 1479 393 1275 1480 574 1159 1315 410 1123 1318 413 1330 1481 575 1161 1321 416 1122 1322 417 1259 1436 531 1258 1432 527 1221 1433 528 1199 1437 532 1221 1433 528 1276 1453 548 1206 1454 549 1199 1437 532 1276 1453 548 1296 1343 438 1129 1340 435 1206 1454 549 1114 1482 403 1277 1307 402 1100 1483 576 1068 1484 577 1100 1483 576 1277 1307 402 1222 1310 405 1079 1485 578 1222 1310 405 1278 1332 427 1101 1486 579 1079 1485 578 1101 1486 579 1278 1332 427 1223 1335 430 1080 1487 580 1223 1335 430 1279 1462 557 1102 1488 581 1080 1487 580 1102 1488 581 1279 1462 557 1224 1465 560 1081 1489 582 1224 1465 560 1280 1490 583 1103 1491 584 1081 1489 582 1103 1491 584 1280 1490 583 1225 1416 511 1082 1492 585 1225 1416 511 1281 1415 510 1104 1493 586 1082 1492 585 1104 1493 586 1281 1415 510 1226 1418 513 1083 1494 587 1083 1494 587 1226 1418 513 1227 1426 521 1084 1495 588 1084 1495 588 1227 1426 521 1228 1351 446 1085 1496 589 1131 1354 449 1282 1497 590 1105 1498 591 1087 1499 592 1105 1498 591 1282 1497 590 1229 1430 525 1086 1500 593 1106 1501 594 1283 1429 524 1230 1423 518 1088 1502 595 1229 1430 525 1283 1429 524 1106 1501 594 1086 1500 593 1230 1423 518 1284 1422 517 1107 1503 596 1088 1502 595 1107 1503 596 1284 1422 517 1231 1424 519 1089 1504 597 1108 1505 598 1285 1466 561 1232 1391 486 1090 1506 599 1231 1424 519 1285 1466 561 1108 1505 598 1089 1504 597 1232 1391 486 1286 1390 485 1109 1507 600 1090 1506 599 1109 1507 600 1286 1390 485 1233 1392 487 1091 1508 601 1233 1392 487 1287 1288 386 1110 1287 385 1091 1508 601 1168 1345 440 1288 1509 602 1234 1510 603 1128 1342 437 1234 1510 603 1288 1509 602 1264 1460 555 1303 1457 552 1264 1460 555 1288 1509 602 1111 1511 604 1099 1461 556 1111 1511 604 1288 1509 602 1168 1345 440 1073 1348 443 1085 1496 589 1228 1351 446 1131 1354 449 1087 1499 592 1200 1435 530 1289 1512 605 1235 1384 479 1127 1513 606 1235 1384 479 1289 1512 605 1260 1439 534 1174 1362 457 1260 1439 534 1289 1512 605 1236 1514 607 1202 1515 608 1236 1514 607 1289 1512 605 1200 1435 530 1147 1438 533 1213 1472 567 1290 1478 573 1182 1385 480 1138 1386 481 1126 1337 432 1182 1385 480 1290 1478 573 1124 1320 415 1205 1455 550 1291 1516 609 1236 1514 607 1147 1438 533 1236 1514 607 1291 1516 609 1207 1517 610 1202 1515 608 1215 1475 570 1292 1518 611 1180 1381 476 1136 1378 473 1180 1381 476 1292 1518 611 1212 1471 566 1138 1386 481 1212 1471 566 1292 1518 611 1190 1408 503 1145 1411 506 1190 1408 503 1292 1518 611 1215 1475 570 1141 1407 502 1208 1339 434 1294 1519 612 1291 1516 609 1205 1455 550 1291 1516 609 1294 1519 612 1265 1456 551 1207 1517 610 1169 1355 450 1293 1477 572 1191 1410 505 1130 1356 451 1191 1410 505 1293 1477 572 1149 1469 564 1145 1411 506 1234 1510 603 1294 1519 612 1208 1339 434 1128 1342 437 1282 1497 590 1295 1520 613 1197 1427 522 1229 1430 525 1197 1427 522 1295 1520 613 1192 1412 507 1142 1402 497 1192 1412 507 1295 1520 613 1170 1353 448 1130 1356 451 1170 1353 448 1295 1520 613 1282 1497 590 1131 1354 449 1209 1344 439 1296 1343 438 1276 1453 548 1148 1452 547 1219 1290 388 1297 1293 391 1115 1521 393 1123 1318 413 1235 1384 479 1181 1383 478 1126 1337 432 1165 1336 431 1127 1513 606 1183 1387 482 1298 1522 614 1287 1288 386 1233 1392 487 1287 1288 386 1298 1522 614 1239 1285 383 1239 1285 383 1298 1522 614 1310 1286 384 1172 1359 454 1298 1522 614 1183 1387 482 1132 1360 455 1210 1464 559 1299 1523 615 1280 1490 583 1224 1465 560 1280 1490 583 1299 1523 615 1193 1413 508 1225 1416 511 1193 1413 508 1299 1523 615 1214 1474 569 1139 1393 488 1214 1474 569 1299 1523 615 1210 1464 559 1135 1374 469 1217 1394 489 1300 1473 568 1269 1470 565 1149 1469 564 1269 1470 565 1300 1473 568 1134 1373 468 1213 1472 567 1301 1361 456 1177 1375 470 1251 1382 477 1181 1383 478 1171 1357 452 1250 1376 471 1177 1375 470 1301 1361 456 1202 1515 608 1207 1517 610 1265 1456 551 1302 1441 536 1201 1440 535 1260 1439 534 1202 1515 608 1302 1441 536 1265 1456 551 1294 1519 612 1234 1510 603 1303 1457 552 1201 1440 535 1305 1443 538 1306 1368 463 1133 1364 459 1307 1367 462 1173 1363 458 1133 1364 459 1306 1368 463 1173 1363 458 1307 1367 462 1308 1283 381 1152 1278 376 1152 1278 376 1308 1283 381 1309 1284 382 1117 1276 374 1310 1286 384 1116 1274 372 1117 1276 374 1309 1284 382 1298 1522 614 1172 1359 454 1116 1274 372 1310 1286 384 1068 1524 1843 1319 1525 1844 1318 1526 1845 1114 1527 1846 902 1272 1841 1321 1528 1847 1318 1526 1845 906 1027 1716 902 1272 1841 906 1027 1716 1311 1026 1715 901 1273 1842 1311 1026 1715 899 1022 1711 900 1024 1713 901 1273 1842 898 1023 1712 899 1022 1711 1311 1026 1715 1312 1025 1714 1113 1529 1848 1322 1530 1849 1323 1531 1850 1115 1532 1851 1313 1013 1702 1324 1533 1852 1323 1531 1850 904 1270 1839 1316 1534 1853 1325 1535 1854 1326 1536 1855 1317 1537 1856 1315 1538 1857 1320 1539 1858 1332 1540 1859 897 1018 1707 903 1271 1840 1322 1530 1849 1321 1528 1847 902 1272 1841 895 1014 1703 1325 1535 1854 1324 1533 1852 1313 1013 1702 1159 1315 410 1275 1541 574 1316 1542 616 1122 1322 417 1120 1296 394 1119 1325 420 1317 1543 617 1112 1544 395 1314 1016 1705 1327 1545 1860 1326 1536 1855 896 1015 1704 1317 1546 617 1119 1325 420 1122 1322 417 1316 1547 616 906 1027 1716 1318 1526 1845 1319 1525 1844 905 1028 1717 1150 1548 1861 1332 1540 1859 1320 1539 1858 1069 1549 1862 1114 1550 1846 1318 1526 1845 1321 1528 1847 1156 1551 1863 1156 1552 1863 1321 1528 1847 1322 1530 1849 1113 1553 1848 904 1270 1839 1323 1531 1850 1322 1530 1849 903 1271 1840 1115 1554 1851 1323 1531 1850 1324 1533 1852 1275 1555 1864 1275 1556 1864 1324 1533 1852 1325 1535 1854 1316 1557 1853 896 1015 1704 1326 1536 1855 1325 1535 1854 895 1014 1703 1317 1558 1856 1326 1536 1855 1327 1545 1860 1112 1559 1865 1112 1560 1865 1327 1545 1860 1332 1540 1859 1150 1561 1861 1328 1562 618 1259 1436 531 1200 1435 530 1127 1513 606 1220 1326 421 1258 1432 527 1259 1436 531 1328 1562 618 1329 1563 619 1242 1324 419 1220 1326 421 1328 1562 618 1166 1338 433 1328 1562 618 1127 1513 606 1165 1336 431 1330 1481 575 1329 1563 619 1328 1562 618 1166 1338 433 1119 1325 420 1329 1563 619 1330 1481 575 1122 1322 417 1119 1325 420 1242 1324 419 1329 1563 619 1161 1321 416 1330 1481 575 1166 1338 433 1245 1319 414 1314 1016 1705 897 1018 1707 1332 1540 1859 1327 1545 1860 720 830 1519 721 832 1521 1333 849 1538 734 848 1537 734 848 1537 1333 849 1538 1334 863 1552 747 862 1551 747 862 1551 1334 863 1552 1335 877 1566 760 876 1565 760 876 1565 1335 877 1566 1336 891 1580 773 890 1579 773 890 1579 1336 891 1580 2 361 1172 786 904 1593 786 904 1593 2 361 1172 86 364 1175 798 916 1605 884 1002 1691 320 1020 1709 1337 1017 1706 891 1009 1698 696 807 1496 709 810 1499 1349 1564 1866 1338 1565 1867 1338 1565 1867 1349 1564 1866 1350 1566 1868 1339 1567 1869 1339 1567 1869 1350 1566 1868 1351 1568 1870 1340 1569 1871 1340 1569 1871 1351 1568 1870 1352 1570 1872 1341 1571 1873 1341 1571 1873 1352 1570 1872 1353 1572 1874 1342 1573 1875 1342 1573 1875 1353 1572 1874 1354 1574 1876 1343 1575 1877 1343 1575 1877 1354 1574 1876 1355 1576 1878 1344 1577 1879 1344 1577 1879 1355 1576 1878 1356 1578 1880 1345 1579 1881 1345 1579 1881 1356 1578 1880 1357 1580 1882 1346 1581 1883 1346 1581 1883 1357 1580 1882 1358 1582 1884 1347 1583 1885 1347 1583 1885 1358 1582 1884 1359 1584 1886 1348 1585 1887 1348 1585 1887 1359 1584 1886 1360 1586 1888 1897 1587 1889 1897 1587 1889 1360 1586 1888 1972 1588 1890 1973 1589 1891 709 810 1499 723 838 1527 1361 1590 1892 1349 1564 1866 1349 1564 1866 1361 1590 1892 1362 1591 1893 1350 1566 1868 1350 1566 1868 1362 1591 1893 1363 1592 1894 1351 1568 1870 1351 1568 1870 1363 1592 1894 1364 1593 1895 1352 1570 1872 1352 1570 1872 1364 1593 1895 1365 1594 1896 1353 1572 1874 1353 1572 1874 1365 1594 1896 1366 1595 1897 1354 1574 1876 1354 1574 1876 1366 1595 1897 1367 1596 1898 1355 1576 1878 1355 1576 1878 1367 1596 1898 1368 1597 1899 1356 1578 1880 1356 1578 1880 1368 1597 1899 1369 1598 1900 1357 1580 1882 1357 1580 1882 1369 1598 1900 1370 1599 1901 1358 1582 1884 1358 1582 1884 1370 1599 1901 1371 1600 1902 1359 1584 1886 1360 1586 1888 1899 1601 1903 1975 1602 1904 1972 1588 1890 723 838 1527 736 852 1541 1372 1603 1905 1361 1590 1892 1361 1590 1892 1372 1603 1905 1373 1604 1906 1362 1591 1893 1362 1591 1893 1373 1604 1906 1374 1605 1907 1363 1592 1894 1363 1592 1894 1374 1605 1907 1375 1606 1908 1364 1593 1895 1364 1593 1895 1375 1606 1908 1376 1607 1909 1365 1594 1896 1365 1594 1896 1376 1607 1909 1377 1608 1910 1366 1595 1897 1366 1595 1897 1377 1608 1910 1378 1609 1911 1367 1596 1898 1367 1596 1898 1378 1609 1911 1379 1610 1912 1368 1597 1899 1368 1597 1899 1379 1610 1912 1380 1611 1913 1369 1598 1900 1369 1598 1900 1380 1611 1913 1381 1612 1914 1370 1599 1901 1370 1599 1901 1381 1612 1914 1382 1613 1915 1371 1600 1902 1899 1601 1903 1900 1614 1916 1976 1615 1917 1975 1602 1904 736 852 1541 749 866 1555 1383 1616 1918 1372 1603 1905 1372 1603 1905 1383 1616 1918 1384 1617 1919 1373 1604 1906 1373 1604 1906 1384 1617 1919 1385 1618 1920 1374 1605 1907 1374 1605 1907 1385 1618 1920 1386 1619 1921 1375 1606 1908 1375 1606 1908 1386 1619 1921 1387 1620 1922 1376 1607 1909 1376 1607 1909 1387 1620 1922 1388 1621 1923 1377 1608 1910 1377 1608 1910 1388 1621 1923 1389 1622 1924 1378 1609 1911 1378 1609 1911 1389 1622 1924 1390 1623 1925 1379 1610 1912 1379 1610 1912 1390 1623 1925 1391 1624 1926 1380 1611 1913 1380 1611 1913 1391 1624 1926 1392 1625 1927 1381 1612 1914 1381 1612 1914 1392 1625 1927 1393 1626 1928 1382 1613 1915 1900 1614 1916 1901 1627 1929 1977 1628 1930 1976 1615 1917 749 866 1555 762 880 1569 1394 1629 1931 1383 1616 1918 1383 1616 1918 1394 1629 1931 1395 1630 1932 1384 1617 1919 1384 1617 1919 1395 1630 1932 1396 1631 1933 1385 1618 1920 1385 1618 1920 1396 1631 1933 1397 1632 1934 1386 1619 1921 1386 1619 1921 1397 1632 1934 1398 1633 1935 1387 1620 1922 1387 1620 1922 1398 1633 1935 1399 1634 1936 1388 1621 1923 1388 1621 1923 1399 1634 1936 1400 1635 1937 1389 1622 1924 1389 1622 1924 1400 1635 1937 1401 1636 1938 1390 1623 1925 1390 1623 1925 1401 1636 1938 1402 1637 1939 1391 1624 1926 1391 1624 1926 1402 1637 1939 1403 1638 1940 1392 1625 1927 1392 1625 1927 1403 1638 1940 1404 1639 1941 1393 1626 1928 1901 1627 1929 1902 1640 1942 1974 1641 1943 1977 1628 1930 762 880 1569 775 894 1583 1405 1642 1944 1394 1629 1931 1394 1629 1931 1405 1642 1944 1406 1643 1945 1395 1630 1932 1395 1630 1932 1406 1643 1945 1407 1644 1946 1396 1631 1933 1396 1631 1933 1407 1644 1946 1408 1645 1947 1397 1632 1934 1397 1632 1934 1408 1645 1947 1409 1646 1948 1398 1633 1935 1398 1633 1935 1409 1646 1948 1410 1647 1949 1399 1634 1936 1399 1634 1936 1410 1647 1949 1411 1648 1950 1400 1635 1937 1400 1635 1937 1411 1648 1950 1412 1649 1951 1401 1636 1938 1401 1636 1938 1412 1649 1951 1413 1650 1952 1402 1637 1939 1402 1637 1939 1413 1650 1952 1414 1651 1953 1403 1638 1940 1403 1638 1940 1414 1651 1953 1415 1652 1954 1404 1639 1941 2043 435 1231 2044 1653 1955 1974 1641 1943 434 436 1232 775 894 1583 787 906 1595 1416 1654 1956 1405 1642 1944 1405 1642 1944 1416 1654 1956 1417 1655 1957 1406 1643 1945 1406 1643 1945 1417 1655 1957 1418 1656 1958 1407 1644 1946 1407 1644 1946 1418 1656 1958 1419 1657 1959 1408 1645 1947 1408 1645 1947 1419 1657 1959 1420 1658 1960 1409 1646 1948 1409 1646 1948 1420 1658 1960 1421 1659 1961 1410 1647 1949 1410 1647 1949 1421 1659 1961 1422 1660 1962 1411 1648 1950 1411 1648 1950 1422 1660 1962 1423 1661 1963 1412 1649 1951 1412 1649 1951 1423 1661 1963 1424 1662 1964 1413 1650 1952 1413 1650 1952 1424 1662 1964 1425 1663 1965 1414 1651 1953 1414 1651 1953 1425 1663 1965 1426 1664 1966 1415 1652 1954 787 906 1595 799 918 1607 1427 1665 1967 1416 1654 1956 1416 1654 1956 1427 1665 1967 1428 1666 1968 1417 1655 1957 1417 1655 1957 1428 1666 1968 1429 1667 1969 1418 1656 1958 1418 1656 1958 1429 1667 1969 1430 1668 1970 1419 1657 1959 1419 1657 1959 1430 1668 1970 1431 1669 1971 1420 1658 1960 1420 1658 1960 1431 1669 1971 1432 1670 1972 1421 1659 1961 1421 1659 1961 1432 1670 1972 1433 1671 1973 1422 1660 1962 1422 1660 1962 1433 1671 1973 1434 1672 1974 1423 1661 1963 1423 1661 1963 1434 1672 1974 1435 1673 1975 1424 1662 1964 1424 1662 1964 1435 1673 1975 1436 1674 1976 1425 1663 1965 1425 1663 1965 1436 1674 1976 1437 1675 1977 1426 1664 1966 799 918 1607 811 930 1619 1438 1676 1978 1427 1665 1967 1427 1665 1967 1438 1676 1978 1439 1677 1979 1428 1666 1968 1428 1666 1968 1439 1677 1979 1440 1678 1980 1429 1667 1969 1429 1667 1969 1440 1678 1980 1441 1679 1981 1430 1668 1970 1430 1668 1970 1441 1679 1981 1442 1680 1982 1431 1669 1971 1431 1669 1971 1442 1680 1982 1443 1681 1983 1432 1670 1972 1432 1670 1972 1443 1681 1983 1444 1682 1984 1433 1671 1973 1433 1671 1973 1444 1682 1984 1445 1683 1985 1434 1672 1974 1434 1672 1974 1445 1683 1985 1446 1684 1986 1435 1673 1975 1435 1673 1975 1446 1684 1986 1447 1685 1987 1436 1674 1976 1436 1674 1976 1447 1685 1987 1448 1686 1988 1437 1675 1977 811 930 1619 823 942 1631 1449 1687 1989 1438 1676 1978 1438 1676 1978 1449 1687 1989 1450 1688 1990 1439 1677 1979 1439 1677 1979 1450 1688 1990 1451 1689 1991 1440 1678 1980 1440 1678 1980 1451 1689 1991 1452 1690 1992 1441 1679 1981 1441 1679 1981 1452 1690 1992 1453 1691 1993 1442 1680 1982 1442 1680 1982 1453 1691 1993 1454 1692 1994 1443 1681 1983 1443 1681 1983 1454 1692 1994 1455 1693 1995 1444 1682 1984 1444 1682 1984 1455 1693 1995 1456 1694 1996 1445 1683 1985 1445 1683 1985 1456 1694 1996 1457 1695 1997 1446 1684 1986 1446 1684 1986 1457 1695 1997 1458 1696 1998 1447 1685 1987 1447 1685 1987 1458 1696 1998 1459 1697 1999 1448 1686 1988 823 942 1631 846 954 1643 1460 1698 2000 1449 1687 1989 1449 1687 1989 1460 1698 2000 1461 1699 2001 1450 1688 1990 1450 1688 1990 1461 1699 2001 1462 1700 2002 1451 1689 1991 1451 1689 1991 1462 1700 2002 1463 1701 2003 1452 1690 1992 1452 1690 1992 1463 1701 2003 1464 1702 2004 1453 1691 1993 1453 1691 1993 1464 1702 2004 1465 1703 2005 1454 1692 1994 1454 1692 1994 1465 1703 2005 1466 1704 2006 1455 1693 1995 1455 1693 1995 1466 1704 2006 1467 1705 2007 1456 1694 1996 1456 1694 1996 1467 1705 2007 1468 1706 2008 1457 1695 1997 1457 1695 1997 1468 1706 2008 1469 1707 2009 1458 1696 1998 1458 1696 1998 1469 1707 2009 1470 1708 2010 1459 1697 1999 846 954 1643 847 966 1655 1471 1709 2011 1460 1698 2000 1460 1698 2000 1471 1709 2011 1472 1710 2012 1461 1699 2001 1461 1699 2001 1472 1710 2012 1473 1711 2013 1462 1700 2002 1462 1700 2002 1473 1711 2013 1474 1712 2014 1463 1701 2003 1463 1701 2003 1474 1712 2014 1475 1713 2015 1464 1702 2004 1464 1702 2004 1475 1713 2015 1476 1714 2016 1465 1703 2005 1465 1703 2005 1476 1714 2016 1477 1715 2017 1466 1704 2006 1466 1704 2006 1477 1715 2017 1478 1716 2018 1467 1705 2007 1467 1705 2007 1478 1716 2018 1479 1717 2019 1468 1706 2008 1468 1706 2008 1479 1717 2019 1480 1718 2020 1469 1707 2009 1469 1707 2009 1480 1718 2020 1481 1719 2021 1470 1708 2010 847 966 1655 859 978 1667 1482 1720 2022 1471 1709 2011 1471 1709 2011 1482 1720 2022 1483 1721 2023 1472 1710 2012 1472 1710 2012 1483 1721 2023 1484 1722 2024 1473 1711 2013 1476 1714 2016 1485 1723 2025 1477 1715 2017 1477 1715 2017 1485 1723 2025 1488 1724 2026 1478 1716 2018 1478 1716 2018 1488 1724 2026 1489 1725 2027 1479 1717 2019 1479 1717 2019 1489 1725 2027 1490 1726 2028 1480 1718 2020 1480 1718 2020 1490 1726 2028 1491 1727 2029 1481 1719 2021 859 978 1667 868 987 1676 1486 1728 2030 1482 1720 2022 1482 1720 2022 1486 1728 2030 1487 1729 2031 1483 1721 2023 868 987 1676 871 990 1679 1492 1730 2032 1486 1728 2030 1486 1728 2030 1492 1730 2032 1493 1731 2033 1487 1729 2031 1495 1732 2034 1489 1725 2027 1488 1724 2026 1494 1733 2035 1489 1725 2027 1495 1732 2034 1496 1734 2036 1490 1726 2028 1490 1726 2028 1496 1734 2036 1497 1735 2037 1491 1727 2029 871 990 1679 878 997 1686 1498 1736 2038 1492 1730 2032 1492 1730 2032 1498 1736 2038 1499 1737 2039 1493 1731 2033 1501 1738 2040 1495 1732 2034 1494 1733 2035 1500 1739 2041 1495 1732 2034 1501 1738 2040 1502 1740 2042 1496 1734 2036 1496 1734 2036 1502 1740 2042 1503 1741 2043 1497 1735 2037 878 997 1686 885 1004 1693 1504 1742 2044 1498 1736 2038 1498 1736 2038 1504 1742 2044 1505 1743 2045 1499 1737 2039 1507 1744 2046 1501 1738 2040 1500 1739 2041 1506 1745 2047 1501 1738 2040 1507 1744 2046 1508 1746 2048 1502 1740 2042 1502 1740 2042 1508 1746 2048 1509 1747 2049 1503 1741 2043 885 1004 1693 892 1011 1700 1510 1748 2050 1504 1742 2044 1504 1742 2044 1510 1748 2050 1511 1749 2051 1505 1743 2045 1882 1750 2052 1512 1751 2053 1507 1744 2046 1506 1745 2047 1507 1744 2046 1512 1751 2053 1513 1752 2054 1508 1746 2048 1508 1746 2048 1513 1752 2054 1883 1753 2055 1509 1747 2049 1509 1747 2049 1883 1753 2055 1514 1754 2056 1904 1755 2057 1904 1755 2057 1985 1019 1708 1986 1021 1710 1903 1756 2058 892 1011 1700 898 1023 1712 1515 1757 2059 1510 1748 2050 1510 1748 2050 1515 1757 2059 1516 1758 2060 1511 1749 2051 1312 1025 1714 905 1028 1717 1521 1759 2061 1881 1760 2062 1338 1565 1867 907 1029 1718 696 807 1496 1339 1567 1869 907 1029 1718 1338 1565 1867 1340 1569 1871 907 1029 1718 1339 1567 1869 1341 1571 1873 907 1029 1718 1340 1569 1871 1342 1573 1875 907 1029 1718 1341 1571 1873 1343 1575 1877 907 1029 1718 1342 1573 1875 1344 1577 1879 907 1029 1718 1343 1575 1877 1345 1579 1881 907 1029 1718 1344 1577 1879 1346 1581 1883 907 1029 1718 1345 1579 1881 1347 1583 1885 907 1029 1718 1346 1581 1883 1348 1585 1887 907 1029 1718 1347 1583 1885 1348 1585 1887 1897 1587 1889 907 1029 1718 1973 1589 1891 907 1029 1718 1897 1587 1889 1555 1761 692 1621 1762 693 1658 1763 694 1594 1764 695 1621 1762 693 1555 1761 692 1570 1765 696 1642 1766 697 1556 1767 698 1621 1762 693 1642 1766 697 1572 1768 699 1621 1762 693 1556 1767 698 1595 1769 700 1658 1763 694 1557 1770 701 1622 1771 702 1657 1772 703 1593 1773 704 1622 1771 702 1557 1770 701 1569 1774 705 1643 1775 706 1555 1761 692 1622 1771 702 1643 1775 706 1570 1765 696 1622 1771 702 1555 1761 692 1594 1764 695 1657 1772 703 1558 1776 707 1623 1777 708 1656 1778 709 1592 1779 710 1623 1777 708 1558 1776 707 1567 1780 711 1641 1781 712 1557 1770 701 1623 1777 708 1641 1781 712 1569 1774 705 1623 1777 708 1557 1770 701 1593 1773 704 1656 1778 709 1559 1782 713 1624 1783 714 1655 1784 715 1591 1785 716 1624 1783 714 1559 1782 713 1574 1786 717 1644 1787 718 1558 1776 707 1624 1783 714 1644 1787 718 1567 1780 711 1624 1783 714 1558 1776 707 1592 1779 710 1655 1784 715 1625 1788 719 1560 1789 720 1578 1790 721 1646 1791 722 1559 1782 713 1625 1788 719 1646 1791 722 1574 1786 717 1625 1788 719 1681 1792 723 1680 1793 724 1560 1789 720 1561 1794 725 1626 1795 726 1654 1796 727 1590 1797 728 1626 1795 726 1561 1794 725 1582 1798 729 1648 1799 730 1560 1789 720 1626 1795 726 1648 1799 730 1578 1790 721 1626 1795 726 1560 1789 720 1680 1793 724 1654 1796 727 1562 1800 731 1627 1801 732 1653 1802 733 1589 1803 734 1627 1801 732 1562 1800 731 1585 1804 735 1650 1805 736 1561 1794 725 1627 1801 732 1650 1805 736 1582 1798 729 1627 1801 732 1561 1794 725 1590 1797 728 1653 1802 733 1563 1806 737 1628 1807 738 1652 1808 739 1587 1809 740 1628 1807 738 1563 1806 737 1581 1810 741 1649 1811 742 1562 1800 731 1628 1807 738 1649 1811 742 1585 1804 735 1628 1807 738 1562 1800 731 1589 1803 734 1652 1808 739 1564 1812 743 1629 1813 744 1651 1814 745 1588 1815 746 1629 1813 744 1564 1812 743 1577 1816 747 1647 1817 748 1563 1806 737 1629 1813 744 1647 1817 748 1581 1810 741 1629 1813 744 1563 1806 737 1587 1809 740 1651 1814 745 1556 1767 698 1630 1818 749 1659 1819 750 1595 1769 700 1630 1818 749 1556 1767 698 1572 1768 699 1645 1820 752 1564 1812 743 1630 1818 749 1645 1820 752 1577 1816 747 1630 1818 749 1564 1812 743 1588 1815 746 1659 1819 750 1658 1763 694 1595 1769 700 1587 1809 740 1652 1808 739 1662 1821 2063 1600 1822 2064 1927 1823 2065 1926 1824 2066 1631 1825 2067 1537 1826 2068 1925 1827 2069 1926 1824 2066 1664 1828 2070 1604 1829 2071 1934 1830 2072 1932 1831 2073 1632 1832 2074 1539 1833 2075 1930 1834 2076 1932 1831 2073 1665 1835 2077 1523 1836 2078 1930 1834 2076 1928 1837 2079 1633 1838 2080 1565 1839 2081 1927 1823 2065 1928 1837 2079 1666 1840 2082 1522 1841 2083 1925 1827 2069 1929 1842 2084 1634 1843 2085 1538 1844 2086 1931 1845 2087 1929 1842 2084 1667 1846 2088 1524 1847 2089 1931 1845 2087 1933 1848 2090 1635 1849 2091 1540 1850 2092 1935 1851 2093 1933 1848 2090 1636 1852 2094 1541 1853 2095 1939 1854 2096 1937 1855 2097 1660 1856 2098 1596 1857 2099 1935 1851 2093 1937 1855 2097 1661 1858 2100 1598 1859 2101 1939 1854 2096 1941 1860 2102 1637 1861 2103 1543 1862 2104 1943 1863 2105 1941 1860 2102 1668 1864 2106 1525 1865 2107 1943 1863 2105 1944 1866 2108 1638 1867 2109 1544 1868 2110 1942 1869 2111 1944 1866 2108 1663 1870 2112 1602 1871 2113 1942 1869 2111 1940 1872 2114 1639 1873 2115 1542 1874 2116 1938 1875 2117 1940 1872 2114 1669 1876 2118 1526 1877 2119 1938 1875 2117 1936 1878 2120 1640 1879 2121 1566 1880 2122 1934 1830 2072 1936 1878 2120 1567 1780 711 1528 1881 944 1568 1882 949 1641 1781 712 1568 1883 949 1527 1884 947 1569 1774 705 1641 1781 712 1570 1765 696 1530 1885 946 1571 1886 948 1642 1766 697 1571 1887 948 1529 1888 942 1572 1768 699 1642 1766 697 1569 1774 705 1527 1889 947 1573 1890 945 1643 1775 706 1573 1891 945 1530 1892 946 1570 1765 696 1643 1775 706 1574 1786 717 1531 1893 940 1575 1894 943 1644 1787 718 1575 1895 943 1528 1896 944 1567 1780 711 1644 1787 718 1572 1768 699 1529 1897 942 1576 1898 941 1645 1820 752 1576 1899 941 1532 1900 938 1577 1816 747 1645 1820 752 1578 1790 721 1533 1901 936 1579 1902 939 1646 1791 722 1579 1903 939 1531 1904 940 1574 1786 717 1646 1791 722 1577 1816 747 1532 1905 938 1580 1906 937 1647 1817 748 1580 1907 937 1534 1908 934 1581 1810 741 1647 1817 748 1582 1798 729 1535 1909 931 1583 1910 935 1648 1799 730 1583 1911 935 1533 1912 936 1578 1790 721 1648 1799 730 1581 1810 741 1534 1913 934 1584 1914 933 1649 1811 742 1584 1915 933 1536 1916 932 1585 1804 735 1649 1811 742 1585 1804 735 1536 1917 932 1586 1918 930 1650 1805 736 1586 1919 930 1535 1920 931 1582 1798 729 1650 1805 736 1568 1921 2123 1528 1922 2124 1538 1844 2086 1634 1843 2085 1568 1923 2123 1634 1843 2085 1537 1826 2068 1527 1924 2125 1571 1925 2126 1530 1926 2127 1565 1839 2081 1633 1838 2080 1571 1927 2126 1633 1838 2080 1539 1833 2075 1529 1928 2128 1573 1929 2129 1527 1930 2125 1537 1826 2068 1631 1825 2067 1573 1931 2129 1631 1825 2067 1565 1839 2081 1530 1932 2127 1575 1933 2130 1531 1934 2131 1540 1850 2092 1635 1849 2091 1575 1935 2130 1635 1849 2091 1538 1844 2086 1528 1936 2124 1576 1937 2132 1529 1938 2128 1539 1833 2075 1632 1832 2074 1576 1939 2132 1632 1832 2074 1566 1880 2122 1532 1940 2133 1579 1941 2134 1533 1942 2135 1541 1853 2095 1636 1852 2094 1579 1943 2134 1636 1852 2094 1540 1850 2092 1531 1944 2131 1580 1945 2136 1532 1946 2133 1566 1880 2122 1640 1879 2121 1580 1947 2136 1640 1879 2121 1542 1874 2116 1534 1948 2137 1583 1949 2138 1535 1950 2139 1543 1862 2104 1637 1861 2103 1583 1951 2138 1637 1861 2103 1541 1853 2095 1533 1952 2135 1584 1953 2140 1534 1954 2137 1542 1874 2116 1639 1873 2115 1584 1955 2140 1639 1873 2115 1544 1868 2110 1536 1956 2141 1586 1957 2142 1536 1958 2141 1544 1868 2110 1638 1867 2109 1586 1959 2142 1638 1867 2109 1543 1862 2104 1535 1960 2139 1598 1859 2101 1546 1961 2143 1610 1962 2144 1660 1856 2098 1610 1962 2144 1545 1963 2145 1596 1857 2099 1660 1856 2098 1525 1865 2107 1547 1964 2146 1597 1965 2147 1661 1858 2100 1597 1965 2147 1546 1961 2143 1598 1859 2101 1661 1858 2100 1522 1841 2083 1549 1966 2148 1599 1967 2149 1662 1821 2063 1599 1967 2149 1548 1968 2150 1600 1822 2064 1662 1821 2063 1526 1877 2119 1551 1969 2151 1601 1970 2152 1663 1870 2112 1601 1970 2152 1550 1971 2153 1602 1871 2113 1663 1870 2112 1523 1836 2078 1553 1972 2154 1603 1973 2155 1664 1828 2070 1603 1973 2155 1552 1974 2156 1604 1829 2071 1664 1828 2070 1600 1822 2064 1548 1968 2150 1605 1975 2157 1665 1835 2077 1605 1975 2157 1553 1972 2154 1523 1836 2078 1665 1835 2077 1524 1847 2089 1554 1976 2158 1606 1977 2159 1666 1840 2082 1606 1977 2159 1549 1966 2148 1522 1841 2083 1666 1840 2082 1596 1857 2099 1545 1963 2145 1607 1978 2160 1667 1846 2088 1607 1978 2160 1554 1976 2158 1524 1847 2089 1667 1846 2088 1602 1871 2113 1550 1971 2153 1608 1979 2161 1668 1864 2106 1608 1979 2161 1547 1964 2146 1525 1865 2107 1668 1864 2106 1604 1829 2071 1552 1974 2156 1609 1980 2162 1669 1876 2118 1609 1980 2162 1551 1969 2151 1526 1877 2119 1669 1876 2118 1610 1962 2144 1546 1961 2143 1611 1981 2163 1670 1982 2164 1612 1983 2165 1545 1963 2145 1610 1962 2144 1670 1982 2164 1597 1965 2147 1547 1964 2146 1613 1984 2166 1671 1985 2167 1611 1981 2163 1546 1961 2143 1597 1965 2147 1671 1985 2167 1599 1967 2149 1549 1966 2148 1614 1986 2168 1672 1987 2169 1615 1988 2170 1548 1968 2150 1599 1967 2149 1672 1987 2169 1601 1970 2152 1551 1969 2151 1616 1989 2171 1673 1990 2172 1617 1991 2173 1550 1971 2153 1601 1970 2152 1673 1990 2172 1603 1973 2155 1553 1972 2154 1618 1992 2174 1674 1993 2175 1619 1994 2176 1552 1974 2156 1603 1973 2155 1674 1993 2175 1605 1975 2157 1548 1968 2150 1615 1988 2170 1675 1995 2177 1618 1992 2174 1553 1972 2154 1605 1975 2157 1675 1995 2177 1606 1977 2159 1554 1976 2158 1620 1996 2178 1676 1997 2179 1614 1986 2168 1549 1966 2148 1606 1977 2159 1676 1997 2179 1607 1978 2160 1545 1963 2145 1612 1983 2165 1677 1998 2180 1620 1996 2178 1554 1976 2158 1607 1978 2160 1677 1998 2180 1608 1979 2161 1550 1971 2153 1617 1991 2173 1678 1999 2181 1613 1984 2166 1547 1964 2146 1608 1979 2161 1678 1999 2181 1609 1980 2162 1552 1974 2156 1619 1994 2176 1679 2000 2182 1616 1989 2171 1551 1969 2151 1609 1980 2162 1679 2000 2182 1587 1809 740 1595 1769 700 1659 1819 750 1588 1815 746 1651 1814 745 1594 1764 695 1589 1803 734 1653 1802 733 1657 1772 703 1658 1763 694 1652 1808 739 1589 1803 734 1594 1764 695 1657 1772 703 1653 1802 733 1590 1797 728 1593 1773 704 1592 1779 710 1680 1793 724 1681 1792 723 1591 1785 716 1655 1784 715 1593 1773 704 1590 1797 728 1654 1796 727 1656 1778 709 1625 1788 719 1559 1782 713 1591 1785 716 1681 1792 723 1592 1779 710 1656 1778 709 1654 1796 727 1680 1793 724 1611 1981 2163 1519 2001 2183 1520 2002 2184 1670 1982 2164 1670 1982 2164 1520 2002 2184 1882 1750 2052 1612 1983 2165 1613 1984 2166 1517 2003 2185 1518 2004 2186 1671 1985 2167 1614 1986 2168 1488 1724 2026 1485 1723 2025 1672 1987 2169 1672 1987 2169 1485 1723 2025 1476 1714 2016 1615 1988 2170 1616 1989 2171 1499 1737 2039 1505 1743 2045 1673 1990 2172 1673 1990 2172 1505 1743 2045 1511 1749 2051 1617 1991 2173 1618 1992 2174 1474 1712 2014 1484 1722 2024 1674 1993 2175 1674 1993 2175 1484 1722 2024 1487 1729 2031 1619 1994 2176 1615 1988 2170 1476 1714 2016 1475 1713 2015 1675 1995 2177 1675 1995 2177 1475 1713 2015 1474 1712 2014 1618 1992 2174 1620 1996 2178 1500 1739 2041 1494 1733 2035 1676 1997 2179 1676 1997 2179 1494 1733 2035 1488 1724 2026 1614 1986 2168 1677 1998 2180 1506 1745 2047 1500 1739 2041 1620 1996 2178 1617 1991 2173 1511 1749 2051 1516 1758 2060 1678 1999 2181 1678 1999 2181 1516 1758 2060 1517 2003 2185 1613 1984 2166 1619 1994 2176 1487 1729 2031 1493 1731 2033 1679 2000 2182 1679 2000 2182 1493 1731 2033 1499 1737 2039 1616 1989 2171 1671 1985 2167 1518 2004 2186 1519 2001 2183 1611 1981 2163 1487 1729 2031 1484 1722 2024 1483 1721 2023 1484 1722 2024 1474 1712 2014 1473 1711 2013 1677 1998 2180 1612 1983 2165 1882 1750 2052 1506 1745 2047 1807 2005 620 1687 2006 621 1721 2007 622 1721 2007 622 1687 2006 621 1722 2008 623 1807 2005 620 1723 2009 624 1070 1282 380 1092 1281 379 1808 2010 625 1878 2011 626 1879 2012 627 1723 2009 624 1808 2010 625 1723 2009 624 1879 2012 627 1880 2013 628 1809 2014 629 1110 1287 385 1093 1289 387 1809 2014 629 1857 2015 630 1093 1289 387 1070 1282 380 1723 2009 624 1809 2014 629 1789 2016 631 1867 2017 632 1724 2018 633 1688 2019 634 1683 2020 635 1724 2018 633 1867 2017 632 1685 2021 636 1690 2022 637 1725 2023 638 1720 2024 639 1682 2025 640 1071 1300 398 1069 2026 399 1720 2027 639 1725 2023 638 1724 2018 633 1683 2028 635 1726 2029 641 1810 2030 642 1726 2031 641 1684 2032 643 1847 2033 644 1810 2030 642 1847 2033 644 1792 2034 645 1727 2035 646 1810 2030 642 1727 2035 646 1688 2019 634 1724 2018 633 1810 2030 642 1788 2036 647 1844 2037 648 1728 2038 649 1691 2039 650 1789 2016 631 1688 2019 634 1728 2038 649 1844 2037 648 1729 2040 651 1693 2041 652 1730 2042 653 1811 2043 654 1730 2042 653 1694 2044 655 1815 2045 656 1811 2043 654 1815 2045 656 1731 2046 657 1811 2043 654 1731 2046 657 1692 2047 658 1729 2040 651 1811 2043 654 1732 2048 659 1690 2022 637 1689 2049 660 1812 2050 661 1790 2051 662 1695 2052 663 1732 2048 659 1812 2050 661 1732 2048 659 1695 2052 663 1733 2053 664 1813 2054 665 1733 2053 664 1072 1331 426 1094 1330 425 1813 2054 665 1094 1330 425 1071 1300 398 1725 2023 638 1813 2054 665 1725 2023 638 1690 2022 637 1732 2048 659 1813 2054 665 1848 2055 666 1793 2056 667 1734 2057 668 1814 2058 669 1734 2057 668 1691 2039 650 1728 2038 649 1814 2058 669 1728 2038 649 1688 2019 634 1727 2035 646 1814 2058 669 1727 2035 646 1792 2034 645 1848 2055 666 1814 2058 669 1694 2044 655 1696 2059 670 1735 2060 671 1815 2045 656 1735 2060 671 1736 2061 672 1815 2045 656 1778 2062 673 1698 2063 674 1737 2064 675 1699 2065 676 1737 2064 675 1779 2066 677 1866 2067 678 1699 2065 676 1738 2068 679 1073 1348 443 1095 1347 442 1816 2069 680 1095 1347 442 1074 1350 445 1836 2070 681 1816 2069 680 1836 2070 681 1779 2066 677 1737 2064 675 1816 2069 680 1737 2064 675 1698 2063 674 1738 2068 679 1816 2069 680 1798 2071 682 1701 2072 683 1740 2073 684 1817 2074 685 1740 2073 684 1700 2075 686 1739 2076 687 1817 2074 685 1741 2077 688 1702 2078 689 1742 2079 690 1818 2080 691 1742 2079 690 1686 2081 751 1807 2005 620 1818 2080 691 1741 2077 688 1818 2080 691 1744 2082 753 1871 2083 754 1807 2005 620 1722 2008 623 1743 2084 755 1818 2080 691 1743 2084 755 1703 2085 756 1744 2082 753 1818 2080 691 1745 2086 757 1876 2087 758 1877 2088 759 1819 2089 760 1877 2088 759 1878 2011 626 1808 2010 625 1819 2089 760 1808 2010 625 1092 1281 379 1096 1369 464 1819 2089 760 1096 1369 464 1075 1370 465 1745 2086 757 1819 2089 760 1788 2036 647 1691 2039 650 1746 2090 761 1843 2091 762 1704 2092 763 1843 2091 762 1746 2090 761 1705 2093 764 1747 2094 765 1706 2095 766 1748 2096 767 1820 2097 768 1748 2096 767 1707 2098 769 1749 2099 770 1820 2097 768 1749 2099 770 1702 2078 689 1741 2077 688 1820 2097 768 1750 2100 771 1706 2095 766 1747 2094 765 1821 2101 772 1751 2102 773 1871 2083 754 1744 2082 753 1805 2103 774 1751 2102 773 1696 2059 670 1752 2104 775 1821 2101 772 1752 2104 775 1708 2105 776 1750 2100 771 1821 2101 772 1753 2106 777 1702 2078 689 1749 2099 770 1822 2107 778 1749 2099 770 1707 2098 769 1754 2108 779 1822 2107 778 1754 2108 779 1802 2109 780 1856 2110 781 1822 2107 778 1856 2110 781 1803 2111 782 1753 2106 777 1822 2107 778 1709 2112 783 1755 2113 784 1842 2114 785 1787 2115 786 1786 2116 787 1842 2114 785 1755 2113 784 1710 2117 788 1756 2118 789 1712 2119 790 1757 2120 791 1823 2121 792 1757 2120 791 1714 2122 793 1758 2123 794 1823 2121 792 1758 2123 794 1713 2124 795 1759 2125 796 1823 2121 792 1759 2125 796 1711 2126 797 1756 2118 789 1823 2121 792 1760 2127 798 1715 2128 799 1761 2129 800 1824 2130 801 1761 2129 800 1700 2075 686 1762 2131 802 1824 2130 801 1762 2131 802 1712 2119 790 1756 2118 789 1824 2130 801 1756 2118 789 1711 2126 797 1760 2127 798 1824 2130 801 1763 2132 803 1795 2133 804 1851 2134 805 1825 2135 806 1851 2134 805 1796 2136 807 1764 2137 808 1825 2135 806 1764 2137 808 1710 2117 788 1755 2113 784 1825 2135 806 1755 2113 784 1709 2112 783 1763 2132 803 1825 2135 806 1765 2138 809 1713 2124 795 1758 2123 794 1826 2139 810 1758 2123 794 1714 2122 793 1766 2140 811 1826 2139 810 1766 2140 811 1800 2141 812 1854 2142 813 1826 2139 810 1854 2142 813 1801 2143 814 1765 2138 809 1826 2139 810 1786 2116 787 1710 2117 788 1764 2137 808 1841 2144 815 1797 2145 816 1841 2144 815 1764 2137 808 1796 2136 807 1767 2146 817 1799 2147 818 1853 2148 819 1827 2149 820 1853 2148 819 1800 2141 812 1766 2140 811 1827 2149 820 1766 2140 811 1714 2122 793 1757 2120 791 1827 2149 820 1757 2120 791 1712 2119 790 1767 2146 817 1827 2149 820 1768 2150 821 1695 2052 663 1790 2051 662 1828 2151 822 1791 2152 823 1716 2153 824 1768 2150 821 1828 2151 822 1770 2154 825 1717 2155 826 1769 2156 827 1829 2157 828 1744 2082 753 1703 2085 756 1771 2158 829 1830 2159 830 1872 2160 831 1771 2158 829 1875 2161 832 1874 2162 833 1768 2150 821 1716 2153 824 1773 2163 834 1831 2164 835 1773 2163 834 1076 1447 542 1097 1446 541 1831 2164 835 1097 1446 541 1072 1331 426 1733 2053 664 1831 2164 835 1733 2053 664 1695 2052 663 1768 2150 821 1831 2164 835 1875 2161 832 1876 2087 758 1745 2086 757 1832 2165 836 1745 2086 757 1075 1370 465 1098 1449 544 1832 2165 836 1098 1449 544 1077 1451 546 1774 2166 837 1832 2165 836 1774 2166 837 1874 2162 833 1875 2161 832 1832 2165 836 1718 2167 838 1716 2153 824 1791 2152 823 1846 2168 839 1769 2156 827 1717 2155 826 1775 2169 840 1776 2170 841 1835 2171 842 1872 2160 831 1874 2162 833 1873 2172 843 1078 1458 553 1076 1447 542 1773 2163 834 1833 2173 844 1773 2163 834 1716 2153 824 1718 2167 838 1833 2173 844 1774 2166 837 1077 1451 546 1099 1461 556 1834 2174 845 1873 2172 843 1874 2162 833 1774 2166 837 1834 2174 845 1776 2170 841 1775 2169 840 1778 2062 673 1699 2065 676 1074 1350 445 1078 1458 553 1833 2173 844 1836 2070 681 1833 2173 844 1718 2167 838 1779 2066 677 1836 2070 681 1849 2175 846 1794 2176 847 1780 2177 848 1837 2178 849 1780 2177 848 1705 2093 764 1746 2090 761 1837 2178 849 1746 2090 761 1691 2039 650 1734 2057 668 1837 2178 849 1734 2057 668 1793 2056 667 1849 2175 846 1837 2178 849 1855 2179 850 1802 2109 780 1754 2108 779 1838 2180 851 1754 2108 779 1707 2098 769 1781 2181 852 1838 2180 851 1781 2181 852 1713 2124 795 1765 2138 809 1838 2180 851 1765 2138 809 1801 2143 814 1855 2179 850 1838 2180 851 1719 2182 853 1715 2128 799 1782 2183 854 1839 2184 855 1782 2183 854 1708 2105 776 1783 2185 856 1839 2184 855 1704 2092 763 1705 2093 764 1784 2186 857 1870 2187 858 1709 2112 783 1787 2115 786 1870 2187 858 1784 2186 857 1785 2188 859 1711 2126 797 1759 2125 796 1840 2189 860 1759 2125 796 1713 2124 795 1781 2181 852 1840 2189 860 1781 2181 852 1707 2098 769 1748 2096 767 1840 2189 860 1748 2096 767 1706 2095 766 1785 2188 859 1840 2189 860 1797 2145 816 1798 2071 682 1817 2074 685 1841 2144 815 1817 2074 685 1739 2076 687 1786 2116 787 1841 2144 815 1786 2116 787 1739 2076 687 1863 2190 861 1842 2114 785 1863 2190 861 1719 2182 853 1787 2115 786 1842 2114 785 1704 2092 763 1783 2185 856 1860 2191 862 1843 2091 762 1860 2191 862 1694 2044 655 1788 2036 647 1843 2091 762 1788 2036 647 1694 2044 655 1730 2042 653 1844 2037 648 1730 2042 653 1693 2041 652 1789 2016 631 1844 2037 648 1685 2192 636 1693 2041 652 1729 2040 651 1845 2193 863 1896 2194 864 1692 2047 658 1731 2046 657 1829 2157 828 1769 2156 827 1791 2152 823 1828 2151 822 1791 2152 823 1769 2156 827 1776 2170 841 1846 2168 839 1846 2168 839 1776 2170 841 1699 2065 676 1866 2067 678 1684 2195 643 1068 2196 577 1100 1483 576 1847 2033 644 1100 1483 576 1079 1485 578 1792 2034 645 1847 2033 644 1792 2034 645 1079 1485 578 1101 1486 579 1848 2055 666 1101 1486 579 1080 1487 580 1793 2056 667 1848 2055 666 1793 2056 667 1080 1487 580 1102 1488 581 1849 2175 846 1102 1488 581 1081 1489 582 1794 2176 847 1849 2175 846 1794 2176 847 1081 1489 582 1103 1491 584 1850 2197 865 1103 1491 584 1082 1492 585 1795 2133 804 1850 2197 865 1795 2133 804 1082 1492 585 1104 1493 586 1851 2134 805 1104 1493 586 1083 1494 587 1796 2136 807 1851 2134 805 1083 1494 587 1084 1495 588 1797 2145 816 1796 2136 807 1084 1495 588 1085 1496 589 1798 2071 682 1797 2145 816 1701 2072 683 1087 1499 592 1105 1498 591 1852 2198 866 1105 1498 591 1086 1500 593 1799 2147 818 1852 2198 866 1106 1501 594 1088 1502 595 1800 2141 812 1853 2148 819 1799 2147 818 1086 1500 593 1106 1501 594 1853 2148 819 1800 2141 812 1088 1502 595 1107 1503 596 1854 2142 813 1107 1503 596 1089 1504 597 1801 2143 814 1854 2142 813 1108 1505 598 1090 1506 599 1802 2109 780 1855 2179 850 1801 2143 814 1089 1504 597 1108 1505 598 1855 2179 850 1802 2109 780 1090 1506 599 1109 1507 600 1856 2110 781 1109 1507 600 1091 1508 601 1803 2111 782 1856 2110 781 1803 2111 782 1091 1508 601 1110 1287 385 1857 2015 630 1738 2068 679 1698 2063 674 1804 2199 867 1858 2200 868 1804 2199 867 1873 2172 843 1834 2174 845 1858 2200 868 1834 2174 845 1099 1461 556 1111 1511 604 1858 2200 868 1111 1511 604 1073 1348 443 1738 2068 679 1858 2200 868 1085 1496 589 1087 1499 592 1701 2072 683 1798 2071 682 1770 2154 825 1697 2201 869 1805 2103 774 1859 2202 870 1805 2103 774 1744 2082 753 1830 2159 830 1859 2202 870 1830 2159 830 1772 2203 871 1806 2204 872 1859 2202 870 1806 2204 872 1717 2155 826 1770 2154 825 1859 2202 870 1783 2185 856 1708 2105 776 1752 2104 775 1860 2191 862 1696 2059 670 1694 2044 655 1860 2191 862 1752 2104 775 1775 2169 840 1717 2155 826 1806 2204 872 1861 2205 873 1806 2204 872 1772 2203 871 1777 2206 874 1861 2205 873 1785 2188 859 1706 2095 766 1750 2100 771 1862 2207 875 1750 2100 771 1708 2105 776 1782 2183 854 1862 2207 875 1782 2183 854 1715 2128 799 1760 2127 798 1862 2207 875 1760 2127 798 1711 2126 797 1785 2188 859 1862 2207 875 1778 2062 673 1775 2169 840 1861 2205 873 1864 2208 876 1861 2205 873 1777 2206 874 1835 2171 842 1864 2208 876 1739 2076 687 1700 2075 686 1761 2129 800 1863 2190 861 1761 2129 800 1715 2128 799 1719 2182 853 1863 2190 861 1804 2199 867 1698 2063 674 1778 2062 673 1864 2208 876 1852 2198 866 1799 2147 818 1767 2146 817 1865 2209 877 1767 2146 817 1712 2119 790 1762 2131 802 1865 2209 877 1762 2131 802 1700 2075 686 1740 2073 684 1865 2209 877 1740 2073 684 1701 2072 683 1852 2198 866 1865 2209 877 1779 2066 677 1718 2167 838 1846 2168 839 1866 2067 678 1789 2016 631 1693 2041 652 1685 2210 636 1867 2017 632 1805 2103 774 1697 2201 869 1735 2060 671 1696 2059 670 1751 2102 773 1753 2106 777 1803 2111 782 1857 2015 630 1868 2211 878 1857 2015 630 1809 2014 629 1868 2211 878 1809 2014 629 1880 2013 628 1868 2211 878 1742 2079 690 1702 2078 689 1753 2106 777 1868 2211 878 1780 2177 848 1794 2176 847 1850 2197 865 1869 2212 879 1850 2197 865 1795 2133 804 1763 2132 803 1869 2212 879 1763 2132 803 1709 2112 783 1784 2186 857 1869 2212 879 1784 2186 857 1705 2093 764 1780 2177 848 1869 2212 879 1787 2115 786 1719 2182 853 1839 2184 855 1870 2187 858 1839 2184 855 1783 2185 856 1704 2092 763 1870 2187 858 1871 2083 754 1751 2102 773 1821 2101 772 1747 2094 765 1741 2077 688 1871 2083 754 1747 2094 765 1820 2097 768 1772 2203 871 1872 2160 831 1835 2171 842 1777 2206 874 1771 2158 829 1872 2160 831 1772 2203 871 1830 2159 830 1835 2171 842 1873 2172 843 1804 2199 867 1864 2208 876 1771 2158 829 1703 2085 756 1876 2087 758 1875 2161 832 1877 2088 759 1876 2087 758 1703 2085 756 1743 2084 755 1743 2084 755 1722 2008 623 1878 2011 626 1877 2088 759 1722 2008 623 1687 2006 621 1879 2012 627 1878 2011 626 1880 2013 628 1879 2012 627 1687 2006 621 1686 2081 751 1868 2211 878 1880 2013 628 1686 2081 751 1742 2079 690 1068 2213 1843 1684 2214 2187 1886 2215 2188 1319 1525 1844 1518 2004 2186 1521 1759 2061 1886 2215 2188 1887 2216 2189 1518 2004 2186 1517 2003 2185 1881 1760 2062 1521 1759 2061 1881 1760 2062 1517 2003 2185 1516 1758 2060 1515 1757 2059 898 1023 1712 1312 1025 1714 1881 1760 2062 1515 1757 2059 1683 2217 2190 1685 2218 2191 1889 2219 2192 1888 2220 2193 1882 1750 2052 1520 2002 2184 1889 2219 2192 1890 2221 2194 1884 2222 2195 1885 2223 2196 1892 2224 2197 1891 2225 2198 1315 1538 1857 1514 1754 2056 1898 2226 2199 1320 1539 1858 1519 2001 2183 1518 2004 2186 1887 2216 2189 1888 2220 2193 1512 1751 2053 1882 1750 2052 1890 2221 2194 1891 2225 2198 1729 2040 651 1692 2047 658 1884 2227 880 1845 2228 863 1690 2022 637 1682 2229 640 1885 2230 881 1689 2049 660 1883 1753 2055 1513 1752 2054 1892 2224 2197 1893 2231 2200 1885 2232 881 1884 2233 880 1692 2047 658 1689 2049 660 1521 1759 2061 905 1028 1717 1319 1525 1844 1886 2215 2188 1720 2234 2201 1069 2235 1862 1320 1539 1858 1898 2226 2199 1684 2236 2187 1726 2237 2202 1887 2216 2189 1886 2215 2188 1726 2238 2202 1683 2239 2190 1888 2220 2193 1887 2216 2189 1520 2002 2184 1519 2001 2183 1888 2220 2193 1889 2219 2192 1685 2240 2191 1845 2241 2203 1890 2221 2194 1889 2219 2192 1845 2242 2203 1884 2243 2195 1891 2225 2198 1890 2221 2194 1513 1752 2054 1512 1751 2053 1891 2225 2198 1892 2224 2197 1885 2244 2196 1682 2245 2204 1893 2231 2200 1892 2224 2197 1682 2246 2204 1720 2247 2201 1898 2226 2199 1893 2231 2200 1894 2248 882 1697 2201 869 1770 2154 825 1829 2157 828 1790 2051 662 1894 2248 882 1829 2157 828 1828 2151 822 1895 2249 883 1894 2248 882 1790 2051 662 1812 2050 661 1736 2061 672 1735 2060 671 1697 2201 869 1894 2248 882 1896 2194 864 1736 2061 672 1894 2248 882 1895 2249 883 1689 2049 660 1692 2047 658 1896 2194 864 1895 2249 883 1689 2049 660 1895 2249 883 1812 2050 661 1731 2046 657 1815 2045 656 1736 2061 672 1896 2194 864 1883 1753 2055 1893 2231 2200 1898 2226 2199 1514 1754 2056 1359 1584 1886 1371 1600 1902 1899 1601 1903 1360 1586 1888 1371 1600 1902 1382 1613 1915 1900 1614 1916 1899 1601 1903 1382 1613 1915 1393 1626 1928 1901 1627 1929 1900 1614 1916 1393 1626 1928 1404 1639 1941 1902 1640 1942 1901 1627 1929 1404 1639 1941 1415 1652 1954 350 790 1479 1902 1640 1942 1415 1652 1954 1426 1664 1966 433 793 1482 350 790 1479 1497 1735 2037 1903 1756 2058 430 806 1495 1503 1741 2043 1509 1747 2049 1904 1755 2057 1903 1756 2058 1051 1105 1734 986 1090 1719 1906 1093 1722 1905 1106 1735 1048 1091 1720 908 1109 1738 1908 1096 1725 1907 1092 1721 1017 1095 1724 951 1107 1736 1906 1093 1722 1907 1092 1721 1019 1108 1737 925 1101 1730 1909 1103 1732 1905 1106 1735 1020 1113 1742 923 1094 1723 1908 1096 1725 1910 1111 1740 1050 1098 1727 909 1104 1733 1909 1103 1732 1911 1099 1728 1052 1110 1739 910 1115 1744 1912 1114 1743 1910 1111 1740 1018 1102 1731 952 1148 1777 1913 1100 1729 1911 1099 1728 1021 1119 1748 924 1112 1741 1912 1114 1743 1914 1117 1746 1055 1146 1775 990 1097 1726 1913 1100 1729 1915 1147 1776 1053 1116 1745 982 1125 1754 1916 1120 1749 1914 1117 1746 1026 1149 1778 928 1142 1771 1917 1144 1773 1915 1147 1776 1022 1122 1751 926 1118 1747 1916 1120 1749 1918 1123 1752 1049 1140 1769 912 1145 1774 1917 1144 1773 1919 1141 1770 1046 1126 1755 984 1127 1756 1920 1124 1753 1918 1123 1752 1025 1143 1772 930 1136 1765 1921 1138 1767 1919 1141 1770 1023 1131 1760 927 1121 1750 1920 1124 1753 1922 1129 1758 1054 1134 1763 988 1139 1768 1921 1138 1767 1923 1135 1764 1047 1128 1757 911 1133 1762 1924 1132 1761 1922 1129 1758 1024 1137 1766 929 1130 1759 1924 1132 1761 1923 1135 1764 1522 1841 2083 1662 1821 2063 1926 1824 2066 1925 1827 2069 1600 1822 2064 1665 1835 2077 1928 1837 2079 1927 1823 2065 1565 1839 2081 1631 1825 2067 1926 1824 2066 1927 1823 2065 1537 1826 2068 1634 1843 2085 1929 1842 2084 1925 1827 2069 1539 1833 2075 1633 1838 2080 1928 1837 2079 1930 1834 2076 1524 1847 2089 1666 1840 2082 1929 1842 2084 1931 1845 2087 1523 1836 2078 1664 1828 2070 1932 1831 2073 1930 1834 2076 1538 1844 2086 1635 1849 2091 1933 1848 2090 1931 1845 2087 1566 1880 2122 1632 1832 2074 1932 1831 2073 1934 1830 2072 1596 1857 2099 1667 1846 2088 1933 1848 2090 1935 1851 2093 1604 1829 2071 1669 1876 2118 1936 1878 2120 1934 1830 2072 1540 1850 2092 1636 1852 2094 1937 1855 2097 1935 1851 2093 1542 1874 2116 1640 1879 2121 1936 1878 2120 1938 1875 2117 1598 1859 2101 1660 1856 2098 1937 1855 2097 1939 1854 2096 1526 1877 2119 1663 1870 2112 1940 1872 2114 1938 1875 2117 1541 1853 2095 1637 1861 2103 1941 1860 2102 1939 1854 2096 1544 1868 2110 1639 1873 2115 1940 1872 2114 1942 1869 2111 1525 1865 2107 1661 1858 2100 1941 1860 2102 1943 1863 2105 1602 1871 2113 1668 1864 2106 1944 1866 2108 1942 1869 2111 1543 1862 2104 1638 1867 2109 1944 1866 2108 1943 1863 2105 651 570 1332 1945 675 1416 2086 2250 2205 2087 571 1333 1964 507 1303 374 512 1308 393 653 1394 1945 675 1416 2086 2250 2205 1945 675 1416 393 653 1394 2107 723 1448 401 620 1368 521 619 1367 1948 772 1467 1949 771 1466 579 623 1371 660 630 1378 1950 770 1465 1949 771 1466 402 628 1376 524 626 1374 1950 770 1465 1951 769 1464 578 631 1379 577 664 1405 1952 767 1462 1951 769 1464 577 664 1405 2094 700 1429 2096 768 1463 1952 767 1462 419 742 977 584 693 281 1954 765 1000 1955 764 999 575 553 236 659 556 239 1957 762 997 1956 763 998 404 636 250 527 634 248 1957 762 997 1958 761 996 574 558 241 658 569 245 1959 760 995 1958 761 996 407 643 257 530 641 255 1959 760 995 1960 759 994 573 568 244 657 672 268 1961 758 993 1960 759 994 412 649 263 533 647 261 1961 758 993 1962 757 992 571 755 990 671 732 309 1947 734 311 1963 756 991 1470 1708 2010 1481 1719 2021 347 801 1490 431 800 1489 1459 1697 1999 1470 1708 2010 431 800 1489 348 798 1487 1448 1686 1988 1459 1697 1999 348 798 1487 432 797 1486 1437 1675 1977 1448 1686 1988 432 797 1486 349 794 1483 1491 1727 2029 351 803 1492 347 801 1490 1481 1719 2021 1497 1735 2037 430 806 1495 351 803 1492 1491 1727 2029 435 438 1234 430 806 1495 1903 1756 2058 1986 1021 1710 435 438 1234 1986 1021 1710 320 1020 1709 88 375 1186 433 793 1482 1426 1664 1966 1437 1675 1977 349 794 1483 2048 2251 2206 2049 2252 2207 1973 1589 1891 1972 1588 1890 1902 1640 1942 350 790 1479 434 436 1232 1974 1641 1943 2047 2253 2208 2048 2251 2206 1972 1588 1890 1975 1602 1904 2046 2254 2209 2047 2253 2208 1975 1602 1904 1976 1615 1917 2045 2255 2210 2046 2254 2209 1976 1615 1917 1977 1628 1930 2044 1653 1955 2045 2255 2210 1977 1628 1930 1974 1641 1943 606 781 1473 684 410 1214 2026 413 1217 2027 423 2211 310 111 904 1978 113 906 2025 412 1216 2024 409 1213 867 985 1674 858 976 1665 4 371 1182 84 373 1184 858 976 1665 845 964 1653 0 369 1180 4 371 1182 721 832 1521 1331 831 1520 1980 836 1525 1979 835 1524 774 2256 2212 3 360 1171 87 359 1170 1981 892 1581 722 834 1523 735 2257 2213 1982 850 1539 1979 835 1524 735 2257 2213 748 2258 2214 1983 864 1553 1982 850 1539 748 2258 2214 761 2259 2215 1984 878 1567 1983 864 1553 761 2259 2215 774 2256 2212 1981 892 1581 1984 878 1567 810 928 1617 798 916 1605 86 364 1175 1 365 1176 1 365 1176 85 367 1178 822 940 1629 810 928 1617 834 952 1641 822 940 1629 85 367 1178 0 369 1180 845 964 1653 834 952 1641 0 369 1180 88 375 1186 320 1020 1709 2015 2260 2216 2015 2260 2216 84 373 1184 88 375 1186 1904 1755 2057 1514 1754 2056 1315 1538 1857 1985 1019 1708 1337 1017 1706 1985 1019 1708 1315 1538 1857 897 1018 1707 90 2 28 243 1 26 1987 2261 2217 1988 2262 2218 243 1 26 91 4 30 1989 2263 2219 1987 2261 2217 91 4 30 244 7 35 1990 2264 2220 1989 2263 2219 244 7 35 299 8 36 1991 2265 2221 1990 2264 2220 164 179 1042 163 178 1041 1992 2266 2222 1993 2267 2223 266 181 1045 165 180 1043 1994 2268 2224 1995 2269 2225 163 178 1041 266 181 1045 1995 2269 2225 1992 2266 2222 288 184 1048 90 2 28 1988 2262 2218 1996 2270 2226 167 186 1050 164 179 1042 1993 2267 2223 1997 2271 2227 324 333 1144 288 184 1048 1996 2270 2226 1998 2272 2228 315 351 1162 167 186 1050 1997 2271 2227 1999 2273 2229 165 180 1043 324 333 1144 1998 2272 2228 1994 2268 2224 1991 2265 2221 299 8 36 2017 378 1189 2018 2274 2230 690 432 1228 315 351 1162 1999 2273 2229 2001 2275 2231 622 442 1238 437 441 1237 2002 2276 2232 2003 2277 2233 438 443 1239 622 442 1238 2003 2277 2233 2004 2278 2234 623 446 1242 438 443 1239 2004 2278 2234 2005 2279 2235 440 447 1243 623 446 1242 2005 2279 2235 2006 2280 2236 519 618 1366 520 617 1365 2007 2281 2237 2008 2282 2238 521 619 1367 645 622 1370 2009 2283 2239 2010 2284 2240 645 622 1370 519 618 1366 2008 2282 2238 2009 2283 2239 437 441 1237 661 624 1372 2011 2285 2241 2002 2276 2232 520 617 1365 523 625 1373 2012 2286 2242 2007 2281 2237 661 624 1372 1948 772 1467 2013 2287 2243 2011 2285 2241 672 774 1469 440 447 1243 2006 2280 2236 2000 2288 2244 523 625 1373 690 432 1228 2001 2275 2231 2012 2286 2242 1948 772 1467 521 619 1367 2010 2284 2240 2013 2287 2243 1988 2262 2218 1987 2261 2217 2014 2289 2245 1987 2261 2217 1989 2263 2219 2014 2289 2245 1989 2263 2219 1990 2264 2220 2014 2289 2245 1990 2264 2220 1991 2265 2221 2014 2289 2245 1993 2267 2223 1992 2266 2222 2014 2289 2245 1995 2269 2225 1994 2268 2224 2014 2289 2245 1992 2266 2222 1995 2269 2225 2014 2289 2245 1996 2270 2226 1988 2262 2218 2014 2289 2245 1997 2271 2227 1993 2267 2223 2014 2289 2245 1998 2272 2228 1996 2270 2226 2014 2289 2245 1999 2273 2229 1997 2271 2227 2014 2289 2245 1994 2268 2224 1998 2272 2228 2014 2289 2245 1991 2265 2221 2018 2274 2230 2000 2288 2244 2014 2289 2245 2001 2275 2231 1999 2273 2229 2014 2289 2245 2003 2277 2233 2002 2276 2232 2014 2289 2245 2004 2278 2234 2003 2277 2233 2014 2289 2245 2005 2279 2235 2004 2278 2234 2014 2289 2245 2006 2280 2236 2005 2279 2235 2014 2289 2245 2008 2282 2238 2007 2281 2237 2014 2289 2245 2010 2284 2240 2009 2283 2239 2014 2289 2245 2009 2283 2239 2008 2282 2238 2014 2289 2245 2002 2276 2232 2011 2285 2241 2014 2289 2245 2007 2281 2237 2012 2286 2242 2014 2289 2245 2011 2285 2241 2013 2287 2243 2014 2289 2245 2000 2288 2244 2006 2280 2236 2014 2289 2245 2012 2286 2242 2001 2275 2231 2014 2289 2245 2013 2287 2243 2010 2284 2240 2014 2289 2245 2015 2260 2216 320 1020 1709 884 1002 1691 877 995 1684 877 995 1684 867 985 1674 84 373 1184 2015 2260 2216 1497 1735 2037 1503 1741 2043 1903 1756 2058 672 774 1469 2000 2288 2244 2018 2274 2230 2017 378 1189 308 85 74 228 88 77 2020 406 151 2019 402 150 673 775 1470 590 773 1468 2022 377 1188 2021 379 1190 590 773 1468 672 774 1469 2017 378 1189 2022 377 1188 591 776 1471 673 775 1470 2021 379 1190 2023 380 1191 683 780 1472 591 776 1471 2023 380 1191 2024 409 1213 604 411 1215 683 780 1472 2024 409 1213 2025 412 1216 1978 113 906 142 124 914 2026 413 1217 2025 412 1216 142 124 914 229 126 916 2027 423 2211 2026 413 1217 687 782 229 606 781 228 2027 423 153 2028 422 152 607 783 230 687 782 229 2028 422 152 2029 424 154 688 784 231 607 783 230 2029 424 154 2030 425 155 603 778 224 688 784 231 2030 425 155 2031 408 147 682 779 225 603 778 224 2031 408 147 2032 407 146 601 777 222 682 779 225 2032 407 146 2033 403 145 681 405 223 601 777 222 2033 403 145 2019 402 2263 2020 406 151 228 88 77 312 154 107 2016 420 160 312 154 107 41 140 103 2034 414 156 2016 420 160 41 140 103 311 135 100 2035 415 157 2034 414 156 311 135 921 29 77 897 2036 394 1205 2035 415 1218 29 77 897 307 76 896 2037 395 1206 2036 394 1205 307 76 896 227 79 899 2038 398 1209 2037 395 1206 227 79 899 45 81 901 2039 400 1211 2038 398 1209 45 81 901 162 353 1164 2040 428 1224 2039 400 1211 162 353 1164 79 355 1166 2041 430 1226 2040 428 1224 79 355 1166 233 358 1169 2042 433 1229 2041 430 1226 233 358 1169 3 360 1171 2043 435 1231 2042 433 1229 3 360 1171 774 2256 2212 2044 1653 1955 2043 435 1231 774 2256 2212 761 2259 2215 2045 2255 2210 2044 1653 1955 761 2259 2215 748 2258 2214 2046 2254 2209 2045 2255 2210 748 2258 2214 735 2257 2213 2047 2253 2208 2046 2254 2209 735 2257 2213 722 834 1523 2048 2251 2206 2047 2253 2208 722 834 1523 708 833 1522 2049 2252 2207 2048 2251 2206 907 1029 1718 2049 2252 2207 708 833 1522 1973 1589 1891 2049 2252 2207 907 1029 1718 907 1029 1718 1980 836 1525 1331 831 1520 2050 292 123 2051 291 122 2065 133 1002 2064 288 1003 282 294 125 322 296 127 2067 376 1004 2066 134 1005 2051 291 122 282 294 125 2066 134 1005 2065 133 1002 185 244 52 278 242 50 2069 237 1006 2068 245 1007 184 241 49 279 251 56 2071 246 1008 2070 238 1009 278 242 50 184 241 49 2070 238 1009 2069 237 1006 2052 263 64 185 244 52 2068 245 1007 2072 261 1010 186 250 55 2050 292 123 2064 288 1003 2073 247 1011 279 251 56 186 250 55 2073 247 1011 2071 246 1008 187 259 1104 280 257 1103 2075 252 1099 2074 260 1105 2053 256 59 2054 327 235 2077 328 1014 2076 253 1015 280 257 60 2053 256 59 2076 253 1015 2075 252 2276 2055 266 1109 187 259 1104 2074 260 1105 2078 264 1107 2054 327 235 2052 263 64 2072 261 1010 2077 328 1014 188 268 1111 2055 266 1109 2078 264 1107 2079 269 1112 2056 272 1115 188 268 1111 2079 269 1112 2080 270 1113 189 274 1117 2056 272 1115 2080 270 1113 2081 275 1118 2057 287 1128 189 274 1117 2081 275 1118 2082 285 1126 191 283 88 281 281 2271 2084 276 1021 2083 284 1022 190 280 1123 2057 287 1128 2082 285 1126 2085 277 1120 281 281 1124 190 280 1123 2085 277 1120 2084 276 1119 322 296 127 191 283 88 2083 284 1022 2067 376 1004 1946 735 970 656 733 310 2087 571 1024 2086 2250 1025 2058 731 308 2059 730 307 2089 727 1026 2088 572 1027 656 733 310 2058 731 308 2088 572 1027 2087 571 1024 653 689 279 554 681 274 2091 676 1028 2090 686 1029 652 680 273 555 683 276 2093 684 1030 2092 677 1031 554 681 274 652 680 273 2092 677 1031 2091 676 1028 555 683 276 2060 702 288 2094 700 1032 2093 684 1030 2059 730 307 556 690 280 2095 685 1033 2089 727 1026 556 690 280 653 689 279 2090 686 1029 2095 685 1033 1953 766 1001 557 696 284 2097 691 1034 2096 768 1035 654 695 1427 558 698 1426 2099 699 1428 2098 692 1423 557 696 284 654 695 2270 2098 692 1037 2097 691 1034 558 698 1426 2061 705 1432 2100 703 1430 2099 699 1428 2060 702 288 1953 766 1001 2096 768 1035 2094 700 1032 2061 705 1432 559 707 1434 2101 708 1435 2100 703 1430 559 707 1434 2062 711 1438 2102 709 1436 2101 708 1435 2062 711 1438 560 713 1440 2103 714 1441 2102 709 1436 560 713 1440 2063 726 1451 2104 724 1449 2103 714 1441 2063 726 1451 561 720 1447 2105 715 1442 2104 724 1449 655 719 299 562 722 302 2107 723 1044 2106 716 2266 561 720 1447 655 719 1446 2106 716 1443 2105 715 1442 562 722 302 1946 735 970 2086 2250 1025 2107 723 1044 1686 2081 751 1687 2006 621 1807 2005 620 1117 1276 374 1237 1275 373 1151 1277 375</p> + </polylist> + </mesh> + </geometry> + </library_geometries> + <library_visual_scenes> + <visual_scene id="VisualSceneNode" name="untitled"> + <node id="LOD3sp" name="LOD3sp"> + <rotate sid="rotateZ">0 0 1 0</rotate> + <rotate sid="rotateY">0 1 0 0</rotate> + <rotate sid="rotateX">1 0 0 0</rotate> + <instance_geometry url="#LOD3spShape-lib"> + <bind_material> + <technique_common> + <instance_material symbol="blinn3SG" target="#blinn3"> + <bind_vertex_input semantic="TEX0" input_semantic="TEXCOORD" input_set="0"/> + </instance_material> + </technique_common> + </bind_material> + </instance_geometry> + </node> + <node id="camera1" name="camera1"> + <translate sid="translate">400.113 463.264 -431.078</translate> + <rotate sid="rotateZ">0 0 1 0</rotate> + <rotate sid="rotateY">0 1 0 -223.2</rotate> + <rotate sid="rotateX">1 0 0 -38.4</rotate> + <instance_camera url="#cameraShape1"/> + </node> + <node id="directionalLight1" name="directionalLight1"> + <translate sid="translate">148.654 183.672 -292.179</translate> + <rotate sid="rotateZ">0 0 1 -12.8709</rotate> + <rotate sid="rotateY">0 1 0 -191.679</rotate> + <rotate sid="rotateX">1 0 0 -45.6358</rotate> + <instance_light url="#directionalLightShape1-lib"/> + </node> + </visual_scene> + </library_visual_scenes> + <scene> + <instance_visual_scene url="#VisualSceneNode"/> + </scene> +</COLLADA> diff --git a/examples/DDCAD/models/MS3D/jeep1.ms3d b/examples/DDCAD/models/MS3D/jeep1.ms3d new file mode 100644 index 0000000000000000000000000000000000000000..18e1dc87fcf97c6e88ae813ebd5e9db2436daaae GIT binary patch literal 164803 zcmb5X2iO!v`n}zaFJR7M4j3`50Zb?}ZNi8-qOj(G5hG><5p%$t<C-(BndvcMSPYA( zh*@;a;kV{B{m-eM(|u|HKR>T)u9vc=?tVg5^;1uEP50Zj=LRc>|2mQ+xv3+4@bTNT ziA(j&lH}UvADu&S)yr1QmY8LfiXWUfp&n{yPiI|k`)u#}+QpZ<gyOSt?GJOWmhCX~ zyyhPr>9DWwslMDb9kt&r*=2`qR<!L1#bajPAbWA2vzvcRAHH0+?VNtH<v#vp7VXQF z`QCpmoV~Z!sT7h@eLrG}?4ezUH~;7oP-U^W?y>*-TlU2U$5ASxtVq;yOLfVzn~oRi z!P*Sjq01e~FH`1c2G5p#vFbh&vaBtHv|6HQtIOv<TByP}he)cjSV+a<xN!p|l@*El z^}Z|XCe`9YFRq(ZofbHwZc>%Cg;Z8c)I0y`UpHHAF?s#E*{UoSQf)9tx4PNNibQ>Q z(Sr3>-=NvA-Qt&8%iXlq&{4x{=FqaXkjiR_T6wR|MZYRM*yESyYN4AI9xRK6REs@1 zdr@0>(2A1k?f>2>v-7&QopiT6$m_0p*?sb0SzAffs+Fx48~d<OG|t91JSGp8#mZJ^ z40u8wq^(*-qUgc*?s!}%`smp~PfIHL=#2l2lT>AG<-t}hQS4Ve4}VIi(2<5dE2+w2 z)vqqU>}5&C+E$S$_I8ts{n?~qe>SPg+CnO;C5mIvY{fxmwknH-R2+0>D=QMkImbN6 zslYtQv2PwMYYVBYcD-lM&OTpm`(l!rK4o!_uKlum&N!3SVDZ;CR?7zMeFV+UV&~=N z$~x8@pjz7M*txe??Wwm8t6S}mrN6IP+vLly`WU&>Vk<lrI&eW|?N&$LFEZP1_5!?L z)RO%Bp8r-YulwYYud0?(SuJI@w$!Lars+6)_qgJ|%x3S7bDAo$=Y-m7_725r_O@CY z_T>eh$ZYlwwS@;cdxv5*d+*fi>C9&D(6(@jeOa@2>&xmn8}B}jLTdItwDwYFvv(*~ zJ?FlkCQvHP-mM~0?9bD0jM@Ul9{Ww_iTtu=?|V*uS3;JxRex^P5=C3}pY?U2=#(A{ zzA357Vl~Q|y(UX4*0zd7aqOE^9Ni`r$G%Bb))rD(Em54k%~qU(%vNQwkcv}~*~*GU zarSQY4b9#ycWd@GhjN}YhjJD*4|4VnouQh&L$R8@t><vMZuJ~`(2A03(_3zo*?HX) z7ra3p<aNJGuayVO+QL>=D_c$f>ZL-_IPd&;kvv!yD_dRJ=RA3kwrUlLq6hnah1x<v z`e?V6&z4m5(Utd)kW^)D<-t}hQS4XWEpv`gMMpYAQkBK3U!9c>lT@s26^UYRH>ud4 zO)AdMCRJHm^>&krv$xrb)3w>EEEZC6x;9%`ky3H?HV<+dF%NQnHV>Ayg;Z9n**kQV zYW5y7`!lqLX79uH!|1MN@1_3;W01A9)n~JRqFT<eR?8XK+H!t2GG}kQE^8+)b+xX` zwr{;~mXmv|ak6T8-RCwvR<)eHt(LR5wdL&HBExjeIQDMFv3HX_r;5FsaqQjXb*+|$ ztzz%$%fW-qIQDMR>{Y1NEZYXB_?IzY{mYa&j=h`gDpfpL6^rY#t5or1(~3mJv3HX_ zwu*9_7F}aCQPmbgS}jquRTX=;jHB4QDi%`FbXDvfYFkC3;@G>%(QQ(3>{qdORa;19 zwM50Scau|)*{UoSQgI40TUn8)IQDLGCahxbCTBu(XjxlGWwk`bv3Ii!w!`dQ6$_~> z*k)(2qNJ)Kw;)v&xdo}J$gQfaq^e@?V5=&g47RG`$*Ne{s){F@v{e;*2M<<JZtzhR z<u>V~D$1>DD-Tw&cj#AD>|J!EGWM>DRlllY?@(LC-l4afRP600l||R;?V+}i%4%u$ zIQ9;M&TJLO-eJ(0tvCkFR&nedrULVzMc0&y6Gf;kq_SGfz|A=JZpN{9GmgERaqJyz zRmI-TIQDMFv3E0$y_<3D9cruCJG8Ch=RmHa>u}vF_6|~6Z5(?CjjGr?%--Ry5i%!X z_O4>@&~rj<h`qyv9Eu_K4%f9>8n%kPt1lP*%ED=cYGFdILbc$ODpU)zcOZv=*}trw zQ^k{^=Tz}zRV=Q{u2RL5p(9nXcj(VmlpE&fD#{JBcNOJUwN-zvV((z9D)ugnQ^wv^ zu^MGn>>X;W*gK4Uld6oa!-^n`eUqxJt;W7d702FT3Nl-9_O8|`VG1%^aYiy*#j$so z39HyU%#-F&&fexw&fZn*9cJ&~-w>LH>AKagI6^s@hhkwX3$`_TxB7-=?<#T&QdN;# zkgAH@s@lR<aqJyt?<$@QwyNUEs#r)x<5clvFkKaU2M<<JZkV5|C^vYpigK&k%7ayu z8~Rlhd$&50V(+S0^{XoO4z*S69eTS-RYuoEzvBFCQkAt;Z#Svp*gFh5vsD~>he2ny z;*d03#j$so3e1BRU2FCZwS`nxtJypBjSyXjxvq+k!|Ywf&taadqU&I*D)tU@tkuS` zcbK1z9LL_Fwu-&O>|Mprfm}t`;ks4q9i+0_IQ9-2waA-xey+af3HN97os#E&bV^zL z>cm^J2}|FeW34gZh==PJ&US9L)tp0`t>PUIoS9ANjkIv5bnboctZIv5S=*5=^V(Gv zxhR(8PHAo2sCuVk9?crB-<BiY!QxUAZ_NgNdR9>!AJ>le+Oxmuob9^*!`Y-w&!dnm z{-@Ku*`-~F<yfV%c=nJ7vpp`nUd8$6ygOTR>kIki+PLxcn_qk|>$S%Vy3h+N-jq!^ z{BDU6)sCuL?NJXeUZ3ls2ea|xt|N-Y?>p|!4(xgXFT~=I3m(q?w>hLLiv8caCp&HA z$t_FfW=YsNFRjr*v*+dom_08o*@>2{YCCB5s<tSW<l@UEnRXtZ$9B#mJCBNM$9pX- z*^DjOjP2Zvz0i#8JSvYYIX*W_QmUwSl-I(Nd2Go%wsRhPAvZhMr`slL{QI74$scad z{+KRZ{ooPViNjA;@yj`m&KB(SP`3J3w{X$g>DUXit4=znD0WU&JLi?BGe@D?Q0z!6 zGSVGR4#jJ}n<4wD&(2x$=rQy@i^-xRvY~IEM(-EJb5Of`RXZ|EPJ68ON7qmr+AjV| z9pvK6_hiWiN7c)=cVx-pkJdrH?6Udm<%K$m;v(gRLhT~ug^D6BbVj&PQ3QFzKrV`R zWJ6=}P>Ru!-uY9O^_cgXY{E+$W*F=&Ui06lvzJ-yn!d8`+S$^mz3`t~(vmEWLhUUq zc1{<Zuu@g*8j9tYJEir7m#fGyEQ%$$XnQG8OMkXDFGSR0xX|J(b_y3Ni^X-zFLzGY zeP@+y-bt@zS5k~F>5jXuk==j8>)9uixl8)``%7mZ^?g;f!}si-t$)IV?8B;dGHPe# zg}MY(cc5Cu&!1f)d+eX@WtSG@2m39Pb^YOk?5(2hOZh_C@4ep2&MRvF-FyD*`tRPz zCdRc(7G$Dwpq49&?~j->+whwYCDqzj&6Tax_*gQ(x#R5Fj@!Mf>yF4~%N9QMt?a#m z%-VsdT_{G)R}^cT{9b?LosY6>3#nLq<>61%mc?0nyyvw?Z~nHf%i0-HYp4f+YN;^v z^HGmXKry&`x|GE?Kn~U@igSxx6t@RC*tsY!h}s1xWKnz*s9=rh(kFY}Uq9~D$=S=B z{U7f~EYAPd2U*AMec8=^9esQK<JaHKo@H%O9JwOYXKknS!22$*m&J}yEWg|-y<wG6 z6}cl6OLEcnrZfJN&0JiFs5w{rI2%`p!RwaA;=1LRJEdD3*FF3B-dF0w?;O@d=YQ&r zy{ckIsLei`GaJ11nN9R()|SOiq4?_;OJu`V#J+R!<+9khY<tlR|Ma$@ShOv!J4S8G zV$pW+xhL1HZCNbZelu6SZr3e~Ra=vpZ9}nBy4Mfm>&bnu)IYoa;wDB4i!(p`MSa(U zFH`aVy8T!mL5-@~hrYN;MYdh^p<7k_?zTtjRy$k2d%P`cTV!@KwtbJ+EqYFZ>+Z(u zwu<xqSRcykR<%uDw^c;j#dzIT@%BgRUW@B`Thto)qxsLN5C07QE!wg;aVwa;Q@Y<i zC)Ueim$cVsXVw2b!&SwXyQH(D_!f%c%U#lyd*=0_58qMWZutl4GPMolE@2!kciq6O zbs^R+cipT-v1{3Omf25dTcXbSs7n@#ozr*Uehy!5we3{ah6{BL7a}T%(Y5??C>9#A zZL9d%_{sHiUmuXYb<FP>JUD5~j?9W%to1{E&3_)4J<>?mg&4CApCv1cUDEX)=vIBX zsQvQiEwc5F`k5%UEsGuLr?}9Y4-CkTnhUpMj3d;pbkjjav1nTsI|Xw2<)ZeqXZm^D zve=Pc&}qeNd_F9DtV^fIF(ePWaE0uKlXfqP9qC4wW%aVQBYk%3_3CA9@nzN?Gs{@| zS8YSF_;OiWwQYSlNfytpJ@(qHnSV!p6a05Kil6*FS+`ZZV(;PEq@lkSwfHiM&7t40 zxX5gqW_xblYTG#!7u@H3)sj4Prf=%aZEH<@nPXuC6dz-;@F0tiZo4Uq)t6DE7)9G8 zxnUh^oBZGP>)4l*zTGK?$RBKoVnu#v+d(lI#p=s%EgQz5F7zIYUi*l*eQ#M5z4jH> z?$Uqepx}GUqFB@(f7XNbTYmVZtVQwKA3kR-FVx&>g=}a#Fl&AJUnri&VxfL>?@hAi z=TEA35{j>}SY2qV<I=}Xj5#`WJl@jxlS9|cp1*i{7I~p$@S54|vv*-f8qx2p?CL!S zXU%QbpcpLP^w7as(!66G%<V<(L8x7hHv$$%UAH%O;bHcoxX-J5W-U9jcDc>>L)%3e zGO>8bttX-_3|pXjUpY7%+U1G7Ror2b!CCU^gnH|`kM=w+Yc5k>sPCG?v#0hLDXG4B z>WnNIfMS9A_?98rs5>84?OLx7&+bgZ;~c#1lD}?|_3iPRWS+M%BpW(t0h*4r-8v2` z>|CIR?{i`{^e1cx7PX5nb*SvjFP}O1q@q}8v}5zAq5~JjqdT2Y42`0A)7l$l9pAmg z>$3AtylH2sAG&u{+>|n_*y_M#vFNcX2GbQ^eqrL7h3Sgok9WWth3WX^%kH|qFkMA% z^;p(^v&jvG=_;vOJ(jgkU4C`8+t-gusv&cniHD}%r=2B+I`CbCv+sKK$tK<OjTGE; zm7du>Pfy2Q$1neP#m%x-e`fK_nMY?6@;VL6;y#0qQ1@o>n+XqR%iVB;YA4=)vdqrf zTef;E8+7q&8N@jLxeMy=bljdTdUek0vIA!;Tvf>26~!cZ@wuzAg=<eV|Clip`Q>d_ zeY}ayM1J|bt!^sRXE8}$NAZ-!c4sYThPTJxl)cJcR}78GD27hRA(<oxesx#2&tii~ zrWo&Ubyv3Eb(jh|0{OYEPAzOzjPBP^>~+((LiIiQh-{yAe&8~k7wUoHfh-nN&^uop zl6^7(oxiy5SQJ|h<(Fr=`rhnWny#qriek%>tes)GG1;6nT~XVCV#|`0`Tb5$WJ75> zs<3$WA&SA0U2MhoHrrNf$xzg4arLbxWl&J7#ZdIM<f9q9pxQaFMA6rh560wB<WlR0 ze_WFdy0i~(KrDWB>)33u8|Ps+<5FwlhgW9159&q3viSHXPiAu+H8b7K<x*KJR!`-Z zi<MVNE>>P8xoG?Ipy#qh#xKGP5!Gei>$CmG_N5rSP+2UlTYkA%d42Kzgltle;6bju z4n1gMHs9gXainnNHBY}+vSgp1>0hqA9$Np^Y`c59sCMI*CT8=`HXDmv#4Weir0j%4 zXJL`crPrQ$C!25b`)tdV*QkF@&N^NFHH%z%?Z4in?6IXjXOSzfaZR+HBV}9GUij3z z*_&T=6>6qUKg@>r3sQ0A^+cD+*@r8?!M0p^jlT4gY{;`8vB<U6AA7x>jeqz<7P<2J zb~_X&{i@pDAAgX2`A`SRME&oyPqP1g@*8WpdRqC1$=OkTUsrLri$2X}eR8sj7p(P8 zwp*97xWGd1WFM~gi)x>GbaJ-&yFo~zb{q0(cH!@#mi>7%kb99_42}Ik?m}`=ybR>+ zNG^&$F8EINxAoDsD83HzS|k_6ksz;0@^tCoUC#2TZ=D|ZdhxZ#ulA_##&e#mie1u~ zzkjv*a!1PAGR*6evTa%H2p1{?xlW<B4D*V%WwBE_6UgP4i`p{GE83PtPBKYy*^9&K zR}OqCgBNHk7Kipfh2bT`>9SY^>LVKG>&pz(&qFbMxd_yI9eiDVk9p7JfK^)~pYqF2 zStw2yYESuP`l46_>TLV$bz|6;f%+%)Gz-PfA@(lY7J)iz!-a}Kov0v2*Ye9d%@_h3 zYQ(m!q86T==6#uyj251uSS>u~KKvQp7qsvU#cJW%=@L9LS1mk4v08Y3^T<`+HWaIc zXQz4bOi|I63(ruj7LV4Ji$`nAm8M;{ELLqzX0~m~tcB<0-5;ZWweVbShlf?<!ZV>p zRqczfBNJE@xp>@X=37<d($Z?V@U*t9ZINkqw!MkhEd~x3o=fw(ts)klU3lH9b}X;k zD(bqeB9@k3i|cw@)V9dD#WXEli5pPUl9@<IHZ9eOTTC-fW`?#^GBeax$;?*U5fri_ zhaxhN&1BIsi&zxP93zWm1~Q~N@nuhD7PVzE6SZabvOtx&O=KYRpQ7w#UXnv@6Sbun z#g{#qiCRx)qUg!YfNCW(ar0`H8OV^^Y?dj<uDruGE!D{{$H~m97;cLdD%?`5w&9jq zk;5&uS>`8;wq^D*+)|rmG2BwCFNa%dGfrkU<78$tPG&aaWM(r?W;WwwW;0G^HsfSw zGfrkU<78&2t&*9|IGNdulbOvpnc0k!nawzv*^HB!0aaxn^EjEA$H~k*PG;tDGBb~p znR%Sd>>VdFd&kMl-f=Rscbv@Z9Vat;TQU=A!@SHub}*Tlmnp}hXsJ$qxy)XMgk)6= z$;=8Bl9_qgHY77Ea?!TTPZn*<>}4k=QS-7Gl9_q=<&ey5miftW*Jzfx%`nwh#c;=| zz8vlg%`$sge7P)!xjlTjN=R14qHUSI^b3t)Sc^Mdv&>!=QkBJ`ZJE6++LpztZI#Rn zs4AJ6b8fGanR%Sd%;RKcsIAhKp>37S%;RKc9w#$HZI#UI9Vat;$H~mzNtDbCwN<(@ zw5^hvy^|=J**l4nnW46o%tR!UTe=drw%%p26GNs@Y-J!3y5yFwM2wVMG83uJ+)|xv zTV^0bP!ulI%5CzxaWXTv?4>T$%55T<i7$IHGkm#9W(HK1%nV<yl9@q_RuM_Xyv$E_ zFqzr3WF}IbxfPMjY?faR$;|4@A?4UC<JgeQ%*!Hr9WGP`t|7OXmw{_1rb(M+ZAfM| z%i4lm#<3w0nwQ0puFNf6iG*acOjm|fXS1yB%w%R>)`nze_;M?I$+l(ovQzkSSq#a{ z(6&luHlt+b;>|c+*^JYbO-om@Ggv}W#a6l!3+<*QGpl0A_UOx1elmQy%3cO?D?h2W zRrWH}R_V&tg$6Z?6+x)2(v_jMN>{dOk)I5?f>texVKvdJMSe155nHt=7PWD@vN^O$ zS5l)mKiQ14m%S}NNsZ#{Wp7JJ$~dibC9<YLj8-y}ZR2!h^Xff4A=!-6m8kV(W;0G# zHsf?<Gfr1F<NRbZ&R#a-bY(M6S2pAPWHZiQHskzcGtOQ%<8);+PFFVLbY(M6S2p8x zWiw7!Hsf?<Gfr1F<8)=SNLMO9*(xe~8H!c9vM846%GQ@dpG5ku8RsXParUwqrz=C- zDqY!()0M5-&|^uC)0NFQUD^6_=)nB4<tK;UHMkjPFPm|?vKgl<n{m3b8K*0oak{c; z=}Puk%TFS0m|OOey**AjHlzIH;!VpyvaO{Y**4BGHscIrZ%Zoj%a(GaRF;rrF-|%5 zj#G}!IOW(oPB}KCl;h$}%Q03<ypTn#7GfdCSS|5Fv0CEc%OS_uTH-0k*jnN#$Jkop zg`{Fd4n?kU%EVx?ASyF~#e%5J6Bg@~GO1WBYRY1<s3}p!f~ag;EQm^S(Y8z*7H!L< zVsW9eSS*OjFBc1<ILFwGbBxV6$JmT>jLkU5*o<?G%{a%{jB||5ILFwGbBxV6$JmT> zjLkU5*o<?G%{a%{jB||5ILFwGbBuYMW6a|mV;<)i^Ek(t$2rD4&N23mbBw*?9Aob| z$Jjg0G4_sgjJ++#h)kddW5_Xj^o0zh7m-D*z8rFlRc*)wR?%0;F;>M6CKWvxBe@K> zIx#<4)rK5nRa=nD=quzHJs4vgYgt6j8)Y$M^KwfYGGMl(A_HbiIkIh;2`mC;qFOmd zUMNl~=9Wcdz-&222FxX@5F<`122_<)3}3F2ib0GjsTkH}RSGVw_^PC0Rjd|(RZ=l5 z0ITF)Rjd|(Rbnt)s7egB$Vw_!#cB~}ZR4b3v&<q^3&1Lw8CHCzQJho^i?}MO7?yZd zQZXz5tHfZat<r{}ZIx6EOFXNMlZv6XN-Bm$T$NM|OS~$n7#4t4VldQJX~WPqTsI^Y z!xGPHqoiV}ZINI7`}OrBx__6Qx-~XXI;SlD=Yq*au_GP*PS>ogEsAAr=d$*P`b=Dv z^UJIa#g2etTPv2eozt0b+NM^Li(*OcNO!nzWF=KmENeTLwXN&&%O$y^B)6{13zfA& z$Yy!nAY@*Wi(*+@e7UTx+P1C>eVZk@YFp_W$d!<JNe)6bN^(&wYlDK7R7H`shO+BI z!A4nIky~Fr^`p<~>wa}*HsPBen4JG?w&UufcRS0AWo_q_UoLBlB5T(ei04(R+E6S| zWo<=neHj<Zjm%<6?%;*0+M-z2h6{z->bjwAb=|5qT(_$2{7u-?PLoc_1$*_cU*ETL z{@ot4jG2Ug-*e*Ejb(2;u#qG~aXhs6@6gXztuM7?k2?R(uz9_{!U5~ne_w8wdYYuk zbV*0jIr-qF{`rviJ6bJ<=4!d?kq6{w-TZK^#|!h<*qWb_|F?8~<DTo(r(1rPdVWqV zP`V^tlj)Ne=RdLj`|4l!c`%!?&)LI2sqHoQUV(Tz{{8xc+tklJ@2--v<5^1v$|LFO z^$%WMvqhOcnIWQh%fX8rRsU$e(;N34He?LtAVIQ_AX#RFPBSGB4gaLEbL;x9-TnCg z;~>k(Hd!bKwUR8;!74LFc5z#@Qz(Ztq8y^6$;|MP`{hgcXvSaeZtVZ_vyqSJpAVBo zgN5mziAQc!`lvH}G)v;whj&XKO@{Bj`TWt^Pxw#{+GfD>3k7@7M;mOoVX*ED@X)M@ zThXoiG<^5uxrg?dF#V)H(nb_&Bg*v2Y@m3{QSk1+`*yFtijPxhkDUk17i1w}p%1f? zG83#jOX5~^?OY>ynX-^V>q?fHz?eOvc+1D&>E|HR3;2*i0_Bl5l!qf==41}|$o(=A zKH9AR@{Kb){}%a({(1AG`GSS%pG${sRr+Wa_-M|=ukSt@fN``a#?WaPOO%5?x+U!v zG@*}H+j`3&%dD{OT!~xJt$PM6eKz_n$C9+^x7O@|LTwKF@8&JaT*=%K#amv2adhs! z-5T@sIk-Uz36g~b$uc{vJ5S<PbnX5L>z)ExUVtp}GD-5XWSIq4nJ2P~+rlZ7g>pzE z$|1@eNjLb&{nCVw?%sWtK09OXgQdef!&!^|`MKFGSXlniTsJ3tG;iY9cOQL-aYVwA zm<K5bee}{ba|L_QNBpqA%nc9Cm$(((y3b-9?Vrs!=8-kO?jvnPp*Et-mCO%{x8#h; z>vPt03hi<HfLVepB8V~%tUGTKS<!l$Ya}mI7E);4iZXAqKt%DD55m)wi?b;yBv77q zS-K?)!bk3xyWpb}Z#%HI&PiWK<B0yzIHGTke|7J29L)<KEtL56-ADA@VlT|!;5ecj z8b{QGp9vlN1|Q7_>n@zQ72Ue0!O|C<cUR*z^j&E~%|y9m&;47Jg_A`hinlxh<7n~2 zhV+?$dlD(KFexNRmIdIUMH9E8Ye(Om1zG+DS>)xZ$ucjjvS?%%w}n$Ei+Y}HB8?VI z7K4x6FNecNSO4$XTGwCij(kM_=zc{1)ZRO|^wC1_QTH&8<O}x^@3udD{%GT8+>bPl zIJRjI$}@KM!NIzVz(b2CZbi55%NR$mb(u6KJM++T9En10L|Hgl0u*m~3cUMD-|qSA znD?DRt7@hq;fujXmXt+d-R@xo$QN#1*GOKbEb_8sSrm*VBZ{}Y2c8}Wxn6=?q>w;) zqz&ca{IXcG6nx}<IRierr^|1(M|NI5@)7-`xQ_n$__HHQA9aV1mJacYeBnN#b{IpA zg>X-z92`fy>r)f@Xwzqo4zer`>n@YH72UccVCjhuZj+yb`+&6Jot6}8v*gedT9jpy z9udV`_QW_!*E_iO!~WgE{YZCwQb>?2OTxO#CT>Ny?tQQ>?nU_s$RaP3Bri*r?y$<T zkzL#tPN7DMgeVK;5M`-kIrzx^@(=jvl)jzoFYGx>A6UA)AIU$oF#YrW3`dtfS{goD zK8z#z!hJ;T5R->{lHxj2C<lG?#Nx*W>-K<$R!H26Ze7OY53TX_m@n6!ag4MPh1!U+ zOtK;<-je^`XYRei^_@bilE4oM%Pcpvq$~^TE}ukJw4UY~$;+ZpE6K7f7=Mc>-tt~} zdY6`5?Xr+Sc{q-iOICu9+%Ma~M`sQFy0$a!N$w-c(7dlt(1`x=akM;qw6fL#!4~c# z>pKnEWZ*}&pox#86=2;}!pcUzaO;}YOUgN$t{W)SM!jwYFjk#{(i(w{tuT(h-T(C3 z`3Dc_Ls>|WEF@?g{SDUbnYb0*y5_q`7I|5+EDx*njO^mJXs1vPY2@Q*rKA^p<bD|e zAN}~t-L(O@C%KR4pX9Z^!AJCu-;Y*?k5=<>)NmhByVe}opd7T#X)|w9jw6n3_Lo&* z-PIGfqWfh$#?e1cKXlCNxF<;)QD_rUR!P<X#ar5pnLCB{IO~{xK^77;Q&E<lu<mL; z0vc{z*GOKbEb_8s=?TV~5ye~DOq!EI0_Bl5x*zpQ)`E}RFOR@S2lijS_F3oOA|KH| z)BoS*!NT;9$91d0N4<UCjeJDyTCqffa?nS8Ufr_1A1Rhv9oAhtaVxrYEegn`%_UcD zU*3;+r=@jQ2V<Rx;w=xvIC^@&ZnXvK2iHg;L9*zMPs*CGZXdrN<!)Vz$Z~m^Bzak~ ztOl#}iR|LGa0+Fi9MXt35oN8U1|PX!#=%EF?>Wnu4RBBLaYX-oG0&F4!t#&SN4?>r zy2o{qk1T4<DF=PjZH;ZpxQ_E3?XnK6n<bGIt9Uzq9^<H9pRv!@YkoaO+K57JL|Hpo z7Zmr4Meq@Y_So;3oq{YPh|&kvt$Re4yLDY7d6}}1qG**G^#NnOh~h0Rvd>8&f%3G= zQcKo{kK8Zc!bfl2dSGMU6Tgne5&ffaMBiu~OIhmh(FVQ_z&)wT1yQ?Jo}ocGG>&Kw zezdmFVBHN9_k~;6R;78V4Kx#lD?iGDBlSt&h~h0z!#KKp@Q^WE?00%CSQP|%oD{7< zNm&m%ZRG2t+^x$I(8@F9rI)87OC46(D6)&&!YPzRJx?}~M(ZaV!$<CyPvE1$$ki=? zds6#2(*213@qFC|@X;n=9LX2%Bg>*RG>$m7wIWw`t1qm(Y2sFN>oQ05K5}(SpLb|E zjzpn0qHLIK28y>Fh0)l`*X2%O-_=Y-f-*Vu(MGWDCSe4~7j9kGNaKjI$jg#tBQQ3P zDBjXCO<^37KzXE%@^u?0{oo__%YE=s(&e|tS-2;;kLVx8b@Y$ty*Gi6w(z`EG}l=+ zvb-Phu1`(aXOwH+6xQ7`WZL8lx2|PL1BKe~PD={4VJ4E+-4u+iB1+T}<LD*i>OS4K zTeu(Tj!%j*qNHpN>u&A&y4<a6xz>ifOp?4TSvG-HwvO!Lwr~plqezIdc;34o@<p8z z_sa$Fk@hLvNAeG6D*A`}6S^O50Uu50dGE+ayxVHeLUA1_l!HEEHlKFc3fAos#*wV( z*5%4Zdlu406xu|TEwRJV#q-_`&Y0Taa0;zT0zV{ZXMwV84eL(l8S92y*EN!tMWI%b zWos~Ij40mHcRt!>A%XHxmIV6D5bYni7QRm)ZMc4<e@M{?NWe%VinsKg4^l|rikK7< z=yA%Df--BgPvR8MhqE;)T%EHuDeQd(WmaVK{hHp=GyJ5Gzzhm0ByffxWoAe+ceEei z6wmvzH7U$;u{9~W!_ExG91+D^dM29`5}0u#g#_MFD9aq6%opXoo#OdTwkCzyKepE0 zq@c`){JCG#TYAQp6cU)BC57Wiqp=$#StQEuI>qyNY^^LLTa%&)z8e?|Mig)9nMqP) z7g9)I#7d181ZD9kkLeW8SII8)6I+v__0fW0EEZ9`rDxzsQGX$Y1g>x>%VMDPi1Kw# z@w|-s3;QoylcH7mVqh#4QM{#Rnn=+&B83F5h$+ibpsWz(rJUkf9E~H6O136N`In`@ zST3S?OV6l~qS=8I5|}}uEX#qiYLtI*im$Up;QY(hq{uGIfw59V@s^%BAcX|pQAlyS ztOUyHQJ%pmzMf=jQh0ZhUDRJz0;5+%@s_?qCWQn>Af$MI=>^I<(R$h`zHVY`QWzzw zzi1rw0%NU+;w^n8ND2vDQIO)}Xf05(Xx-=(UmvhFDU6;qjySIA>9xS9MHFx8D;`ov z;0lKnpI>UA^o`a>PVqRHtrf*<e$l*J17rP&;w?S0Cq;H4#pm7iLD@7~2ROx}X4!>) z(!8tt(fVL)98tWbN3f)*zmVehqm4n?DvEcVLb(*zsK2oP>VBmA^u}QHizwdGBQ;Vq zj!5zQbU#qKL~)%{JbutP;;7VpTJcLiFp`MkEj>~sMY97bBrtYhuj`s@gC`n13cKpj zcSkF>v>2~;VfV@5)9Id$`mta2t^dC0N#QRk+a%k9;w`TPW#I4w>+^p7WUZY-0zV|g zlo|1~h*LZYv#2?eWz>KA*1OGjQuq|I%miti;w@b+Y9v`i;a^gw2V*;rRBPUH^TS>r z{eK;+;Wr#ttIw59uJN;8UfG3O6_oApEQ0IrEp3$(C?q(ARwiXzSY^A!ukRW;(Pe4Z zXeK=6v7N`eHCrpz+bNPomX%#*17ohlCHI!LLatvp=z|(R!?&yKB8|37wg<&qZVHRe zhrYr-(@r6QpZ5N;9W<IJqPRwut%ziiU8otYyB!$YM-*@Aa!DJ?B8u!X7Z^KuhM?{( zuMT4h!xej4-A@0Y#?O;`R(4T;nG1~hBZ{}Q>{6hR;1pSRduX&n;@5YLoanN&Ycvm@ zX4t{=40X%V)!QkOrM<t*55~e_exdeU>3K`bOx7>D`GXoi9fwzTkw!ZtJA&dZH$#8v z{`HfMUD03KDP2GyrM<uG0F4%nD6SE0q<w3bMRrkt*#V3lBZ{|lxugx{5k>uFVK8>` z%xv9TetYqoqrdG~E&mSl%lu<Ms4axg#=|PRsJ|=>#u5?5TUu5>P)Kl!th*yL+9~nt zyGBl=9F&KYc8wOruKiA)->uu;NZlzSkkZ~?mH=a!#3lEZwj)%#<iiibXXN>nU8K=Y z$<Cm7%hv3f^M2G$A%UOv{<0G^S~jA%M)%oXxyvHEsK4w4#?BGNTe@7NNET7lUzP!* zzwe0YeiStNvf~rpv%}76x9KL=_<82q$}Z|J%Yd<BMDdoii}tETaEh$EGc@Y2`%$>Q zYve?irCp<Cu{+)0_tk2?o7zsH9Q?HRmleTSC1@ncy`_1&aTf0O{7g5M_@#fc3n<>w z{L*NrkibuSf9Vg6dPWr2$ZQnJBD<)+^ao>?h~h0>E@?wqL{WcP1&m$Y(+zKFBO{*~ zu?s)zP9=U>1&lQ!inp{;8Ym<<Mg3(LXtb;MmxgQPM3<#qqn_9++|~O_!$xD?PLV9_ z{bda>*7o@&YH4?pT=C0@sl+e4CIdk6YufCYw^K;qr@g=I3XS?i6xYb+;7AtPMg3)0 zFa|^vZ|QPTBgrC)`pep24D>rm?k(-ko6m;Wg&&VRG{3A3#<~&3TUz`QD2f@_Pe@RI z832t2`u!+(jhyJRv}@D{dtw9qew5qYK5wT;miGR#E*Kkn{1UaaNHxD0u?s)bO(lLA znEV|SzotcJc{_y!e%kxXKxnj4L~)I1Bke1>EV7IG%Rn&x9#Ood%O!0nizw<Z8-lT$ zN2<BEw8%d1hIoOW^`;WPYzW3?5ye}MvOP8toTC2ncWAVm$Gf4w$QDj?S=u$)2zx)f zdAyt3Y9eo^P!4|D`^#ovZ0YNxsHLq08yDhk&(E-_#4o!gyMyA_Y|Y+WPdC~rB=FPT zUv`5=TSpYv$kvdNEV7IG%Wh!o9#Ood%O!0nizw<ZTY|BTuY`3!3L5!peQv}q{5&z0 z_+?8lx<(Xl=~)aBoTC1+J2cux_oHxq*T{)3OS?u}WA|tqUr#qYThUIT9Q?HRmpzg_ zlf9Br*w?!O&)_eFXH8zmzsKPGQTM-k{wPh8y_0>CeZzj^QF!it^5NZjDH`Oei@Rgz z;#qGz8&sYgV(y!HAm$E3b_<mKlKqoG;mNp9asKE9oIg6NwL5p&4j1=QuR8<JhANxH zCkII>&mRTKpyYsv617C8?HfGn{m!4AKLX`I=yXtd{^-slF73sASZPOp@yx`qHd(Yw z81`X<UG@dVTe>aUDYS_+qD@5EGdUPOa=&~5AI*aENBjQO^GA?nU-;;d$QSOT)>BWl z|9$=^=Z`=+03JFtIn=D^)@4rfA2@&X%b%S;0%cG#7!+@LCOrKzo~fRQk5gz5Jqb*E zXs0^`<sj&ENEiX~g<ID(B8ArF?hh%nZpiNj$|1>N5ye~b4)-jdLC1#_5-1NTBv2m8 za&U4ueB^$46F%yV^G7HD)$>Q790DI5q36hgFWg5vVjT6t7`pb)&L4qtD6D&AcoIRr zaO<7`OY`~ax6ps34WDF}HhfZp8XXG8Q4z&kUWOhp0_Tr@TIWyBAAxchbUHdb7bGjX zb#H}rPk=1rA&b0BS>$EOatN$)bYvH|g;S^z_Zy`V_X9*ZJQ)HXxnIV@M|a`;(N=%; z{1G%d0zNt>@$0*f-oPxuId9~joj(HQC|LK{#I5Mo<p@|C=a0@_>rc)ffpTPW94OxM z7<iZ0-yfMSr_dfcnL>MT-VHlHpd1aIj!E2#uAOT{iuR{TDfg!X<(TC7h~h18gr_Oj zz&|^G1j>-)1o+7P!rkP<{{Ngm0_7O^=)}aY?>=g2*Wftf4ma;6)Jir9yK|r%3+tW~ zMu2?b);$iE#yP&mo9Mfw(7LpbD135|<LFp0hDH=`IRxYAg26-jJo;znk3cydI-Q)j z6<xcVVO_+VjekQHd3kEG90RMI9NEQf;S}xsi$a@7qZ5*0@R9pvFnn|yp7rkZSI-|o zqZ8qy;TlK57w)6?Fphr3`6GO$ef|iPp|I{LiCfXF%RT&e@T~Vqe|G)|l#`MXpm@un z@b37&-SbJD`;9_-Xr`h)^dvAneKK?!p12j=x~>r^>~Wl}NTGGZ{&b)WPfm>}-tsnh z`gzC&*`|H|2$W&TNchP8G7>&|2<ML;|EuSZKp74notF6Z-A8<S@C=+kn)}brAAxcT ztb2MmIV4}Wbw|R|JpFJw?gP3X@lH#7(7Jq*oz^`Cj58vNw_FwDXhEDm`ti@sAAxcz zbUHI}E4p^f3%v+ghC&v3nX<^sl4Uroa%N-~w}n%vk>WaP#OE1A8JU~~AGu#{gpWqx zS?|VQJ%0p^PJ@rm4$rB|7w)50?3u56?p(bnhazXn!I>&NEdt6Ju<kjDThXn{o!#4U z{^+egJAVYq>B+gEcuVFknHe3q=7qhSLaRy^+CwK(=;<?|)7c@@CSSO9T_aMY6)Dt8 z8l4Hoc@f21(ntLv*A-Y<w97(5IDZ6L&PvXQkK8ZY!$)W0{LyBA_52YiXTwLMv<?Wq za3B30<7gPhQ5T$vl})&JPdVr#YDK%81M6N8RyOj5TbEhCH_&%a#eF~&J~=3D)a%Xx z<HCsIE&E{{O*iQD+7o|v{s^+12c0eo)|D0Ax}#y;mmtfDZL-MAlI3hz<)X+gZi{vb zZ6b|)9G#zB3?I2)PJ@rW#IxT0|LXZ8Xfz5wx+L-IyN^D`{pd5?kMJ7}(>{L$%7w7* zrHNb7t;=VG9>n>hXaDT{5hxcVmx1CfPl9(RVBW|2D4ahMh4#>sz_hAnD)yI)pwlIZ zThX<1jYy$&`Sgm$k?uzqfpK|6@s^xPc^($)qiLT%f-Dy&SHMT^m)qf^QFzvSUfh#l zX`F9q{f8%4_#_ScFrRed6GnWphZ<c1A6=RF_1#B%VjTTEZvMvM7)#WI1U?%?O*oDe z*If$hUKLIb$%<~>%V25l!@h$4OA4*a=izlfQWSJ47*|IWZ@D+d(f2riwAY`VKY~V= zL#J!P{YX}H?Vf^lheMX<Ad9?AS>$EOatW+*O=K6hg;S^zZ6b|4uDc?+7Cv&nG~lE8 z_L^nPE`Rm>5j46IKDsXP>${J>Zmo~@z?oReK_BrcFv_9GnV!BH*1bM)E4p=gCs_gK zkJiUMN!o})n~+4xRmlyYc*`r`UG}rxF!wu!_9#!Lv<RYH1D&o*+={N9YeWj=p)88) zD#~@qjS<CLJ_AovuI(WgDI`pB{s<afoBRVla=-A2=r?ix==i^S{s@%o;G>%ozrOp3 z+Wj<c{u;*-<<K~if5KCGpj;2@-W={E@`YRXa#)%<@CoR<r8dw^6s^jy2jiBA;w_KI zI9dw1x~u-|{1Ifi5jx$PxD{Qyr(xaWAj|WRrS$StWVsGjxizwj+rlZ-NIj1ld7j}P z$!+kF`{ir+=m6yEe*fQJJbwg@Zi0_)593I_a36hwaWwh!M{8f=exz~4v8@%kvRk*n zx_2aQMYk?91a~4=x5S^FKY}bbCwGG4Et%`)`J>k`?>mKkS2GnotV|9^<E_x?_Qb8| z)^&|Ej;N9H4ASUUFz$*d-jew`tdHt1LM~D?gOj2R7iGCExf?!mzuW^Kb;kLlOaAKl zBT#OKkM2qQ`tGBF7)K+JW0-@#bplN|j(C@)9PBg7d*1=;-WxIm@`YQMyK`6{)lb8H zK-%zrEp3z~z5|T=B1+T}<7hn2AAS92=Z~P#UC?QC$k)k=t{r#k5R=zWf-LefWs#R9 z%k8kr=*TW^3#U*c#dXxk^WJwSd%#ET7vHCVrOTM1{Rz|Z{1G&|2R_<6@$0*fT2X7* zv!ERG5kHiJJ_=8}f^r|MyI(keBrCdgc_-1Hg|rccHWB4s>~QQC_8a9<-{Eiyttwea z(9Qz;?r7+=ci1VEFI+p<NO2uWq);o#G8&8nBZ{}wUJ`dc+GWv>3uV~@`Wz7LAGsF3 zPati$UW?8j1<C=~hjQ<FOW*k*g#?~ih|V8@vL_@tG}<R|3TG+h!*y<gt8+cq%-%<h z_5|bLh~h0h!%qqcJj)TCKLX`oP>zcB1DxV{U!5mmK1k1d>kfM`7>7p`Z|RwAQb^z# zm+1TvWH}s^W23ycQz)16n>uI1?4O>4=P00E4hLgMMDdoMu_c9sDb62(G6a;NQGVAc zp2wT!`J+G?iafDj(_4CGa+>FlKsf=DoD$_Ro#I(P*@fQLxe2Y0P5@(AMDdoMfg?rz zg%lFF!l8ACfpSKauXBp$Wz=6d3Ur=C8G>P8jEpGW(lbq@XdID30?)WmmXV+!i-Y^2 z@`X;}_*VWw<A|eD=WLXJ841Q&5ye}2Muim34y2F}&L2URvp~5p%D*_p*V!U){*BHb z1<HlU<M=hbrDqOEA%S<4==>2V=R=Z9qdbFCd~L6D6TG|0F6uAmgK=?0@s_?qCWQo^ z<silT%f+Bv9j&LG;_D`zCt;MR{-Txe#b8_!QM{$E1W6%*D|1pvU>|0GxdN2yqjjTG z=r64gbk2s+v&NC;mn*=yHllb-U-6Ja!W8F^Aj`F&+!C#ioZ@ltG|wLe$}L!D`8B<z zNA}Y^e+0@uAjuukI>0HM_Z08RF7&qMUEPoV0mf|+#ans=ON#nSbp8mk+y=^hQM~IE zp8ru?qyEBCp!<;`)!V?hJEC|?kJL!fIEv06L6*Bg*)NLgoI-yomeM%lsMLL0@yp#{ z>=9ACrN<JaXm*IsA3>J=ll$>Bf=6M+Q*uM=v)-~q^vuaL&mVzufAUXIye0oV0A~Xh zvhzoLa>dX5M9)hF%7J*M!6_bv`O_jUi=GP#&r1c$L6F8N-qPiASwsoXOMx;7j0d78 zG`!_C(C+{9{86AhfM*f>IS+5?PbKIC(-h~AK=~)E@<7l?7IlrBIL-4%pd5r}5gv%1 z^YCXo+9^{#e+0^4Fpf-Ia&PH7@p^uDit|UHJdivHinqKL7UkIho<C}*O!fRxpd5z1 zd#AWYzMt>1$kXaC5AgYnh~h0>E>a|mDC#dqg7HxFB!ai3jLdFv&E{u*^yDo^0`DY8 zf^l3#@s`K5a(8^TK_{5}Dd6yY9Vib%qlXf|zH8(}m!(~!qp|1yQ1m>5@4mNFruzIY zWH}CulM<KQTl$W(pZSqpq|rmk!=QM}E$#eKJB8<crZ|5DSssE$Cr1?5=w__#^$dZ_ zBD<)+JOswW5ye}&T+=*%1X)f3<B@2`-COe6@BiZb5zjYH^ZZeuJc7Mt*WX+EF0-Hc zX}9jf(CCrGukRW;ahm6kAj`?vTYe<kx98r7_UfJDvP92gf-(Y((-W86TaGMpL1C}l z&-}D&^hok3DBiL)d*{3#wNrHFr~Q8P2sAn~qPRxB%k8qX_m@Y&cr>DTOP6b!=Z|2Q z)4_Nw+FACN8@@L=oIjcw_iR7&BfDsRIUS61BZ{~5-PCEGKY}ceLZioYKMEFgjhyJR z$S(ZLx$aEtp*|MvPy3#9J7ucpk3cyWj0?*1N8DximcD~H&GSc~JeG_B#amv18GE<k z2j;WmdGB`0RL>s;%6Zsxbc$=_`;ab+?4tSQF)+qN6mRKrP4oN_WVry0Mzn+KEjPjZ zg1IF}3^VQXM}gA7UZLynEq&KeCzz%<e+0@HXw*pj`mT`^r+NMel#8%e*ogLFIU2QV z*iM=1`6Ey+1LLa1CHI!TQ>K_<it|UHG?E+?Z`ltPT>yOr@k`!L(V3t2`K1Aku8AnF zk?*&;EbaZJ0Y)BCyrs)UiewQ*qwy**n$b?7x1{e{@yoQ&AHgnHfpJ4b@s_?jrV~t4 zi(hhR)J**Pu8|X`dHx8pT!THaX0+e<4EhVT;2vW;Wm@se4Pe}yxa8i_cZB@RkLF$e z<y_ZH9w)`DNbTmpz3A`gFYT16o<9nd8?lGv6xYc2m0T8iTJuX2jK?F2w{*FtdHx8p z+ziGO(T<q6{0`@*8M`os@iRZNi|$7^gK=j>@s_>|G|lrzkmYe`^hD?{vZ!n1M3+T& z(FnK|dp}P^`)a<I)=rt~`6I}3Cm8pJ^J>~1^p<DXUe+|vAA#~j@+2tUl3qt&sYAm? zJ7ucpj{@Z`?3FmhHS%33mqm6_e|Z9oCnJitbh)N^{s^+%3&#D?&X2cbEW@=Ca}Ivy zr@g=23&#Et#ant7W18oWAj^}`=>9MQWKq}1i7t!mqW&@(yGO`-U{294lxHj2DN{Xv z1X;!=PbW`tT^OF4=j?=Ee#`a#Bm9a?uHPGE21l7<J`co9PWTm>PHFO7@@(=9&$iU{ zo+Db5H2#MZ2X+0%AamZz1x0&&po~lYl|0XEMMLj7!U$~GuLI`#jX{56Fxs61<ppq_ z=No!*z30e@$WfIP$|4eFDR&A%c?tTw$ZSPT?>TZUVCkCPizEWI5+VFLV4yq)j#J!5 zP9#OPiFOJ>8JoNeFS(D90nPRPBlj0&;LZa5L?1EpM?a;Y{2M-cj?enl^`0a5k;}zB z5|Stnv!LZ(IVj^{-50pao$EbEZe6!JDbk7*X+>GaC$E6xlu_`s-hbpoQurh=Nu+S6 zo1{Xc=in#T$hB~*lOk`EB5#v20hW1*zxY|xdybsw6n`Q)+HnVEZ1O6+<UYbL1?GDH zk^765<xUj+L?1CzOg~YU*Wjan^I77$-gD$Wa=EzIND?)Ro;d;Kby#;iXQ_tXbL7@_ ztNYXR(bFQJOax~<-_VomJx5M-3S}Wlvglb4YV-#5nZQ{pJd4D0Vy=Z-T?ATL1X{VE zyatX_+(u6HC;LgEZRl}Q#wL^CCHE12wK3QGkKA9hEO##HC;CW!BIQl^=r#UEa+u%v zo+I~>%f&rdl4u`}A%4QnGAM7sx)b?UoLuiYa_hR)Ns(40NGr<nR`NDDPT`CR6~iy> zIFXe06EY+f8odTTxkj#qTb&enTiS^74lMHqpIiyg_i=V~qEn`JLPnIa$-D59`v|+q zx!!-|{?a(2pXeX%XYnsJdJjH&GmIm9w@!IKa=A2)s9E$3Bq;C0x^Hpy+0c8A+`4Xc z`bS#n`A6D^vU~u}TYN)LuJ;@{(J8X5WD$v!$<XJWFaq=&MXrTgowCT=B1o3Wu*{ng zg`Sp;oTwg0QuHJxWEq=$2rs#h@GGCW-hbr&qK`PwX&iCqGVEG{@)3OWUWg6s-8!X@ zTrSQl8b{oNr8Z#)6_o$Lx*zaVO0M@Dxpm#@q)01Lq!q3EpX6h3oN@}huJ<1~krd8Q zB$2`=fk`6eBj__Z(#W;o2$1hck+(^qHlln2&Sbt3p{Dm7F;0+;oTB>?Wr?0hhAd-~ zPvIr^5q|wN*ZYs$U$iXa1>KLh(@j57qtD=@kHR>zck7fsa=8?{P%}QuKp#;vQa*=u z|HB+vqxF`Rnp@Yc&bz#{ik_wi<qL5B!#DKgde4y)ouWIvWFbkid<lI%Vb+iD+zanH zaxL8IlttbafmWtQU&1mUMHG5kHgcjOAd*O-Z6wRs<STf|eS}|y&Gr5x_ZNL6KXH!Z zlM(b2W%(LD`b;r)4jhT4k6bQMXrJh83n<^fx?k`q;N0G=Q~JxTPKvZ5MOsmoZ<7B5 zr=6l-W^#W?7LrKe$rO?bjXr~gX+^!c$+d9bks@!CLhFk1Us&c#zM-e4_Z&H~og%HG z6Ee_fZ1OF<<UYc$<>q?-k^74T?R3*e^iOz-29)pMqpy7&HQYxo7x(OC8;v7sM!S3u z>we?oh`&tLkagYa{=^{dA+1RH0i196hMrvSIWoUAoI+Vdl4T{!kI?78J^~u9g<D+& zYDHP(ZOZZ^Ec10lF;7QCQe+!aD34?roBRYXxsUKG!nxjm<o==zd@_Q5qK`PwX&n6w zAARSucjP0Ni_dtFM0q%tIoDAhYV<!?_XnOz$@QKix2{{A6lq0@v??gSfa4UKF>@!9 z!Y6@AB84*)Nu>M?eSVBIaxH8Ggy)*&ZBpcIQho*JN53EO4L!Oa@t3?blSWS@>wY9z z#wNePOYS55x^k}fAGyD1Sw2ZaKhZ~w7j!@R9X|Tm<GRR4E|))(uegqyQKLVSU*IRZ ztLJWAx4J(~&-=5qA|*-x00qDFoR{x8sv<?65i5HDWzn<ny3<RRH2oPCw!3;{UArGe zPt#Ktd7HAN>F=<MQ|M{E3(D={Pxg~Sc_ho&q*MA^<Rkp*bguUwxxeTmK6yny(MR$V zWtlF0Hu>FG6SybE_an*0XUIsReK>|ZuIqqxlN7&Qo$EbE?k~4GDbk7rX+>E&($3&G z#UgnAPMae8sh*G_snF<mSlFUtzW=DSu3Me5$lKCJlrHIXNX1*E&NuXg`!v>&{KYCo zhf_TvBg)vMD@C$=-M8?O-hbr&(m0}@=pW`8_?OM6hmWR9sfE2;r;Hg~E{!8<raS{R zBV`6yw<EPxX71K?tJ6O^_rsMQ38KuH&HxIYK+E->BPTjVmX$0bQI?rt-7YDusNel^ zE!^sqg#^kYf@GN~ogN&gxQ(2s9!C->vJGV!o6MYcjeLY(DbMx(Blj15#CcBRh<PCT ziIiF3qv=!2ZA5dO%cc7f?ZaFLwNaj7R#<n&l-U}+TgR>IRwqSTks_@q%dF{a;5cOz z#*W^96cJnZBa%pA28X0Vqv_L`B8^-Nw>o8!w@INkqRgJo0*Ymh_=X<kG#gIQ2^q?w ze4Qv`lR46vBOl!dAL;!^?l1a?@q+G0%%>_}Hz#~FOKMri$VV=hVi#(ryf-zYUFL#y zXH6~Z*>LN+)p?hfR?LD*D^li8=K_Tu)i2pQ(J8vqOBRwO%RI2|?5Slv8?J?0owATX zc|=gYZk}{baGc^ca-t$2l1QO#B+FRrOw1Aa=mPji`w{Lh`bd7_9LIeL<-MOl%rIx# zicVW|Ty;NkxkRCT_>?Qh5#^zEpNE&`P8l6*55leMRwqSTks_@M%D=#I3TI61a5z!2 zkfifIB$4tA^qD8p$hB~*lOk`E;(6~E!I>xZoeZ~8J4IUQ9F$~v0hW0x+HG;|++WHN zkVH8skM@tA#-74c(aw|aBshhc3X$kxl0+HLor!2y!708^!qqq_q_MY=qW<zSvffYg zdGB(Eg=0s%9Zq4!gd|cpBakG@L{MIivgb~5I`crJkj8nA6wNQMB1il(-#Jw7BzR`n zDa^2uL<;X9B#H7CD6d9YVy8Hr**;Q8(_KXOqe;kOzRGtFl^Ju-T{=Z4hm`drNt6#j znG|J1o#J%LL3v111h4qzUF7^G@yt(|8TL${Q)CxXbmBpj|A6vtl=X9p)9D}Ch0!wQ zQ6BR{WToEaJBP{)sOO@bqW(gexS}CRlrKQ}Fv@N@#p&#~>MvZUk)rj{r^w-a$afBv znLf|lI7Q=#GI0e=k|^JR@@bUCaf;J9mNkyJ8Ye~T>93Gw_>}J)Dl=N1TWF_{M45DQ zNR%Hy`6|j*IK}C@!;(ZfD39_l-(pSv72i2jW^Q~X?iAkXMUq`a`5!3XMyqnCIGuMh zQb?nJ+%7+1)%Y#nIaFpSe68pdMjRxOqW&VgB<cUKp7wQ+Q=HB?iWJhc+LNcT+Dm`p zJBP}ZxD%bi2$dvKG>$~+zykEQXqDv@r!!h6g*46zK8`wJ74RG1IaIDVJ@$8sP7Wz* zCQ0LHMo>CMs|lw#opMkf(l}d^qM4y9V&+ciw~$3EE02_&BD;{Hc~_KKLFpPr%}$Bv z@Q>`m`JeJ=#+(^ZUDwnjQjg`FqW(gebUzYhZct{9qC=-Ro&8q*h4)3jAI*UnXy()- zFOPhjqH#o-bf4D!=y}Adb3{>)Q=HDRtZ}6HMR(Yz5P8gzUH~5{BJ{|kok9|2Vyr-t zDC3fD>A#|9PVmdUJ(aQW=!|a)(zzc!7ZjeaLqs+%nK$j`5j@|{&{OX}a-!ZhM3N}s zX*5t?!V@RmJZi3abk<IhEYTC}pv;@T1d3nZV!2v7MOsBq7lATgI&V6Tzxv!$=Zu_a zk!pDFk<R@@Pnd%83OM8VYuH*V@;yT(v7N#*KP1U6vhIA)Xx`LYx<)RS2&7D@(F9o7 zDYlxaJ5gtkoD!Z!gGR4IqgSG5E1c+>@}!QQn{C(V^<@5ZKF^%+Z9zTt{v#*qybnpD zsK2~{CoAUjY(?EQYNtq+_Wm+|`UWU|eOp6E{&HE`t-C-vfBHI~$;a5?e?udUEJG09 zSfq15?fvELWC2hti^R7DmBe-mpP3~|c2R#>02<AodP~>HH5GxBDK&Zr&oem1vPg9& zme1}QMg8S{X!N${nj?)|Q=S;oxu158-cJ@x7f3B%$+rdd)ccQIMpAhGh$K<eUnb)T zf(1f<(LS_m)J~Bs?fqrJbTTM@ecD1qr|29MN$u8MC|xjppKq<`srMW?(KY2;f^_bu zy}x{%ECh;W@A;mglGsimX@0zkKz31oSqK^}n0ias$mJ4&@=U4GC)l@lie>LZf02zy z5lIyFm(QWm$G*o`bE0d?Q$srU)2`9y$-?PEsqGW#eiYu;<3yc3B1shWmoJk~AkBT% z4o}TBYNtq+_WrVP`Xwl>Svp+biR~0=CA;u1a~_MN3#Xs+tvI|l=bT}j=$eMN1hw9Q z)ZSnI51h|~b+v2i#CD2EvWxo5BG3q0nJli6%OwKOAx){#f3ZL96yG&<VtMw+DC#fY zL!<xm{?c$FHIk-0HKcPt?HYZbESfIj{e^F5VEjUVMMRxFB1shWmmjesyomRghHK<< zxh(DdWzqCUQ2hF4i)qTzZr#PwMbqznH0Dk;Pd9i{N9TUp`^zuMVxZWl<J*EXzeM}6 zI`2c0?4tg%7&Kbc=a<|ya=BcVDK+{P`>=j}8;udsWf4XF<qv4|i{FnTja*Zn)KSdP zuF)S!_jED8AMtHLx*tVEo%fkq{F0`>LK>TEbJxf<by?c`OLy$5E#~*5XfLguB9iRF zznotdPrGBM(C%K5Ms_F3dAHZOpZ5OJIb9qSyQ}kUL5g3Z{YJ$MB(+<2acI=t<CjPy zx3tSLrAA%A@$1{&J|em-qNu;j0F63(q#9}Dn)1|;&i%A&G()-sI2OP0Z9$56Bcje8 zktB-dmzl7`x46f<e4|s1_X0d^It4|twD*@KuzR$)$GgE6+BI~0xh%4a`pc5gXa--C zL>jrK;VnUk7kKuky}!(sE(yx0YJJ4F1!;Z6_d@9j?z}wjGnM#dNocf0B#T9-kz6jz zlp4(rj$hwa6OoNv7E#n+=7L7E`AWFqMAww3hIH;np5|YU#<|j^z_InA?nmKmJx<iw zBa%c>f0+k6SxfqQy5SnNQzT1!e_0B9ElcWt6s~V;#Yj7sMRrkt=?0DFN`3X+n)d_I zHRVYio%?C;FaN^Iey)_GPJ2d9Y^R7MyU4oTpwUv1EUuBuB?9G{Qll5Kf8^KqY=skb z_Q)yfFFn#_(xsz4KK$BTuJ<2}!oT%iBxQ*Cml-x@aKg^dbZN4Dx?H+!*oW17j+DXS z?7;m-y*WsGN2D;j#jGFmLD=?B{+6zou2A+m{#p!9bOlTE{YT6$>34DX)FKJ|a3@T= zVx+8;{tc8vu@9^F9LX;vI)$=`L|I6ZEUQ4Dl|$dvyLDU(S(?8ND1u}mA)G&gEUTo; zgF|14!kt3d$cd!LHk5<%NR}Sys_>HHZd&vU_(ktOa(__<?kF&mPaiSk7cy;-r6+u} zeAu<bv&?$8PWjA<%f;Odk|+<ekMt4cp>=z~x+{g8s(wq*t?O1NMOu*}tqRI&;4lL! z3Vu<hq4ys-krY0WOcE*F;U<Zcp3rBNNF&$6txk%(O^Uot%IaxPP<SV^H}vrNx?m%x z=*eixqMd)q(j#31UUDDd*9mjI|H%DC%W?;bexi?<Ar6^Y$g(DU)HB6fGwOQJk&mO+ zb7Vm-?uL;>&6GW-X4Gh{bhWfsieJ%b=sibnUAH=)T$fgSGDBLC(mP!X6#P<RuJ;@{ z(J7RLB*{XOWLX>fte)Nq>*_s6u7z7&1j-{qc%A{Wtevh2j#J!5P9%l$P!>{X8_Cim zT?bxrAK@1ibG`q_{YA@i$5K0}@)PaS2R>Re#oK4X*x`GQ+(#}KcTY*8JRC#(P##ih zux{@#0`%LHZe6!JDbk7rX;o0_;LsPM;Fosr3{3I<BPWtF)$>O|qczjDBaK`Ow>l~E zwzQ!<lqF01fO2CiBIJ9H+(u5(NgZk>yNJ>wT^C+*A8`j)?>};XX&li{^bdES_?NP* z2Oss(IMTay%DK+vqBbN^GwpIyCQ{Z<>uD{;uj?=h4DUH|>$=sciL~OAg3^kV4bt^N z!7pp(de4y)og&Lh7LiEV5c*{4&9JV1qsX;zt5X(vTLfveVY(hTPHA~M*vN_MaU_u< z+fbGsX<vBBeS}~6%=P{w_ZKb8c~0YqJC<Rm5R{GJqxDj}eWtGW98F~$1-UquHIBHO zOKm6*W!V_k-5}*&z22?k)^)3sBCSY~Rt04faGZi)AZqCSM@}S#GZaar@QGxSNZAPb zY#3?e)^)3sB5#vIZA95L-3XN1;A#DKlH15Bnz<>9o{ScyN4goj<UYdhndbUEQ}-7w z%XmTeBkpjAon>gWIefHHcuv*cty7L8mrJn=HREnOeMHS@mwxFc>Bi|uSXA#ha_hR) zd1sYYd~#h{k+MbF4;1_oYp(YkIngP)(@PeTB+Hi2XVZ`))4O$C3%5FDk+(&lJd|b2 zbaQZ+MG}QiQp!e7B!%*jL<(&qS$d>f!AtHV{6cH4_aC{x=p*@wa~z+D2u~tFmaXBV z&BIfjh_Ur<ozh1xmnf8nPiN3al!qE^1M6-P_JsA@wr*XwIw{hM6lqmZwgrbVwkXPg z@|T&MC|O7%r96KWG}=7fGSbMkaI2FdZ<9i8C=X@XF5Mawe%s#A!*xioQ9DIi>7<S* zJ<{#rCHE12EjQQukKA7*aEF_J=_C3lJh=i{c7TtzPVx4cy54i-b6sm45ai-+I|=+~ z98oiBv}3w$x=qOXy@9iHe9w_v*R9T{7Db^Z(u$Ow(j7s;FZbqp&k?h0B07b#h$PEO zmYt!`b}4?xsiyZFxfX795hxF3k+&(!&gl-|IK^$`L{elMQYepP>5=w_m)u9E!AE-k zk^74>@QDcei9X^yr*X6ke6&M~x6jn|o+I~>%f+WNNTNI(%RY{Fg>`pI`7Ds$t>e~> ztPYB_B1Kx!F1w}!z;OzGv8ti>A32e-O!fQ`D7!$Pog<B03%5Ec@-}6Ww<*iObQe%K zGwQdt+(u5(lhM>lGdHy&rAPXAc*%W)Usulc{v-DnEz2ip=qLJ!@q+G0yTM1hq<Cva zUGF(^AGut7nujE6rr1UE?(VSet|@+{tHB*XzURoT>sIHJ>(YvMR%u0z_DFXJ1;6y1 z>pe$KbP8o5NwSb6S@wiJ1JkEqUA^bXwQ#G8KzT&a{b<j0H*lQdHgX~<l!vmALfc4| z9_e22lKTk10G;doNA53LmQP&i2{8GIcG(*~+AYP~XTm**?>TZGxm<kuizLd!F~pDJ zx_w~XJ;I$tzn$&Yb*qyitw@kolx3fEUvN05iE;(J&h-)Bf8<0`!uy6`AIU;eq0w&X zo{>hbg<G8zd0X0uvR}G4D9^ytygq+}%x&Zpoz$UL?XvVp_lK9<M|=ud?>};XX&li{ z^bhk4{7a1n!AFn=<H+8vQ^pJ~7quaYnkmmfnMgSR*4-z?ub1(6Q^R|X+`4XcY9g(; z(vw!C9GD&e3Vs<p*L#kf=oDF2vWP^=LC|Nv^l4aE?>TZU-0GA?-WEX`9h43N$0=?j zC#uJhM2c)fS$d=g!%OZX{7QMQ_aC{xXj#s48b{0ng(n6<IRri$l;Z6(b-m}PeH_Vm z9LpL<%ym#3<rxlzbq@>~0{zyyTi2}~W(3%VRwhMSQKLiC!QgPMDhhMp`h_zmk`iVp zkVs($ha^%Cfj$RC8o71d>ZHiqq);1C4oeRKg_$FJLr-ZVr<5}{WKm{Ilpg8f@RIuo zzuunf{YUOET9)yG?nlh0DqnX5d~`^Px6jn|o+I~>`%bY7HDmUXKB8u{%aO3|p<#DU zZ^d!zy487Sl~&9=N-I*1N{<AEPjc#)?9YIYM0ASo^pb@n$#OLGIV|k)=~vBM3%5FD zk+(%qzV7Js2ynOyCW_n0iHd+oB89e*EIqI@ad_k--;Z#A(MR$V=Q!?5DDS;2d~}3X z6X88a?jx5=6xxTmclt<q?-gL(qr#m;dk}72w>l}(iWF%@AFY5Ljw2(A?{GL#vXG=5 z1(HZv7Wy0=Y2;eC)k%@JN%6e*%GjAWx;%fxoebZPXs1Xk?X*aim9W>cbhO*T8Cy1T ze{r2AttbcO(f-jg*i%?Kjdn87kF|f}6rGzOi5@0NlwP1L6J{yxD)@ec)43X_JfyL= zk)r;xDze_oq@J<o*b&hw%$Sfw3TFh8MClF6s!{gbDNbh|h!oN|&yk|}WewzrS4}-L z?U`YxFvCU?DZGP_BuWjGHKHuBQ=HChA1S2iE~5L<I>=(Kk$MJ}8Y%DW6lP>eQr3?o zQ8oZ&ohTdX6sJ=TQb<z-ulQwM<owo2J=5r!KBveoq;Mrck|-O4vTl_1bBfdHAK8V` zGAYVq_C;1|-PAK`o{Msd`U_>^iiRXnwg9DXl-+WQ)7fv;U${;qMeC!@ki+SldgjP8 zH%`$wqD))?lO)PEpllXqDP?h-;&hHejU%qcNzr<GD`XiqOFcuvnL)&M3Q3fS855F3 z*$I@bqHKjzoUS`8NtA;W<zKePntZF&GXcI5cM9+HBFQeI><Y^E(W=}jPUqc>6w>G) zw@ZJl8n;h<#p`QDr!e9mi4^r0*<}w<`bVozr#PK)6e*;!-+F)fJJwkJQ(xKn%E~E> zP)Q<1<4FBwA5i`tt+JfrbVkdhkj7cT$I)I`1^hkr6^zIJPT`7%Bt^|6X&fC0%3jfG z!YNLt9HfxO*^(5^4ErNy-YfM;-6LhE$S$O4-WBCgQ1*|aW~Vrv{*hfc|5F~#m<J=O z+duV)lryH{aHpuhP$u1vL^%qSgQMusDNbj<Re#}q(eFoxBL+G+^~lR3AE#&>Q6}A| zbw64Gl*6Ma$SF?eSk^dF{GvPT(uh0`PdzrErxkg$Q%Isrj1@={<!|W_#AK%<Qs!^o z@(GdR3AEz3h&?*fNgY2q6rSioME1Az7;xGtdRvbZr+NMelvVJ=$&l!25r594oif$) zN1z;orx}KX=MHs!e}<u*BCVpQi$FOR8vQNB8&~u+T%9dNbWQ!tPxQPLD66H%g5pmf zII*1~QuMr3kYyD}<1O1Yl3XJA$)WHBSfH#9%Q(fKK5*hR&mV!Z7BpHddbYxeuIV(- z9|g*B;Q0PL-qzDo?>};)pZSqp!t-^Ytc@otj*Xs*aE;n2dX_kPz7CY*uxo#8>es&& z>oz^D(N2+8?fvEW^f)|;z;83V#TAwlT~j{oI@R+>kfoj;56UqZjb!jWM^0>~h$Opc zG#(F)j*Db*ja)7frZ|5DS&qkk``QuZM%aaN@!19^>iJ!#gy-u(SsxnJqh|<QBiD4A z=Z^yA1aN#G8gJ{-^WKq-rg{DdlntTL@zL(TYvgjdEbaZ}1nf>9pZfK0hF$bjf>Wk> z{s^+1n4W+gcRow4_Z&IVHRVa2sh&RqWs~$oP<%JpiR~1f`DyPjCqknWB3WD`mrH~x z&L0JhHU-D8&+NVS@SRACNE%1#Fa4m=CedEG6J1lC)bW!;8Ug*%lfW5S<bT53l3KHO zcw3JXr+NMe8f}T4@)M(7Zr7-tGS%}(pqzwV*b{X>(%XW{ee-sTw31ykdk=+1{ZhPJ zC!9axdyZTq*VNDawBL`mO^1Rq0(Rl4oYvcdN@6=jr1t(Y6dIir$>O`oE|&;XoIiqH zhGPG8%PA<@t9Ifv&mV!ZBQ)AJ+7osgxu$;Rr(L5R)04sReMP*Tp{L$|<iu&7KY}bf zL!+V5Zm#bGw^MW$s(pSr8M}=`Q@_6NF}72rReOIK290)1@rItBde4y)T~j~v)81bO zq{Be*-9aa|Q$%XF?l5R{awLmu<Z_9?Q%qB8G!PuWK1ZYWWSuz8^GEQ}?$BsJwD;*m z*HkBU{N#}4m)+Ch;Q0O--u}{4?>}-PDI&=(ieL7`&gZab*U~j=r%Wq;8IE1GVX0r= z_tM%alBM0cr$D3KL$Bi<p8En$bWM4;pX&J|Sa;v_6jEC83-=i5T@l+UBFQeY?kUh{ zcqEH!<Z_8Xd8X88KXCl|&$Qwf?maqD@rzS*KRN&!?Hlj$nMSVZG|wNwE(fF|!0~+| zYN5CFxQu@0M|M$vIS4y^r$oDRu2DN>s^^a&%Lwcqof7(suJ3zB?G$O%ZrxL%(E%ym zt;6{xyywU@a!virPy75bI6V~<-|cZ?J4GbfMg8SeXfz^{#WixdMBrJdDK$C_9KXKr z_BfFgkwj5{IT9KTj`p&g=$cOR{1JR~WI7U@Gm7}7ej1+ApkMU19w+*lAK69y<!J0= zof_>zxkl}jsh&TAEF-Z?a%vbyy1ws?v{R&&?83j?vl#-7j%=L<EOHC3k!$K_e%kxX zidfknnR-@&(FRvrd~;GeMI_lp{bdL=8X3vr8o68|_{pJ4qm{w&>wC7siPJoP1iPG; zo}QkO9(!4@`drg3T7UBKyBf#g-`j7sV*cBh9cstp-*e*sKY{;$$$7iihy8bl`mn(R z>vLUvVtv@{C)6kHyG<QGIFy{8o(YP#JO(Xy1SM(26cWBUc9%dQVeh54DJf^AXQ$_+ zCtTJmp99xy7P91&<@Z9CT(VFGQYaH;AcZnfmb24yL4hn$%k4n<rHvBgfIOs-KzT$t z3yd=&SzwFu`feA>5^RINl!XM@<(%|1P`ssE+9@Q6LV{Dyg<Vb$6lvkwxz$VS(oZex z@^4|6GePl|?jxtrF0u{nBHNI1UV45yD(y1-{yz7fbWnZw(GS-)zwoj#cdqkjV}lb9 zsxPwoF@3H-_`v#r*B-B(^#1Pk72iCx&c8k1EIu>bwsnx@{PY4)yyf$^+%#tONl!L* zyYhgDLV{CB5aq)3qV(eQ>*da_&2hjw^=mg;r2fsOS$&P$CN)-kJE`CC<@WWxCO%%< z<k5dM9=mSO`dLp6s*l}h@A^+`u3vtr(M9Pcpm@u*Pu;A(&5}PfPTp%w!zm<OH0Z#o zQZ7v|OD|84pZ(6-yDN>WZMSy+{Nzbj)c!Skk9@&fM>p<y|JcTF8#ikm<M+z1`+cwa z=06=?=U-_<`%sq4(knpmmTS&*W8>p9@vPGF*GCi*oFWU8a%Fl|dUd+=6YJ$$&UQ(k zZRT7m|8d{#^D76=lJB-d@5lE3e)atMXIHJSck?2BUYcX?dVb`A^&d{yv%cg0hm{{v zu1c=~#amAQ@Kud(h8#Ag``m}uokGHY-XAno%H`>K>7}Xb?|sMZMSHNX@UOIyr_V!g zxiso^-qV~yf>UH+YIHuVdqLFe+`8Ta+2d$k{%x1#3V8a0)LXj0oFX5I;<8)_jV_4# zu508J_FZa33j1zMxd3CpM}W8VK1~V<?8Bn)FYR(MY&$CTp6(WPxj260CsE|1i@~@s zqIgS}krZk~nM9E+7r`o*MWfL*a!XSaYD6oGB3Uj1<C2KtEq#2GLITIND3aw8P%cgV z+fH#Cu{9~QjVO}k5-=`~DBjYoP6`Q{rAUx0S7KhcA{x^^ro1<DOp`)+IHuKqi<#jH z%nd#>cuODaq>#X|EeijVay7>E<*CmAKBiqR&MO*?qEMcKa(Q}XMDdm`BPrB~GKnHt zu7Xw0k7g;?$nP-Jgc`BWh$3080^^#9;w^pNBZUOcccMs^Yd|?K^=~`HZN%23&^Dq- zmTSPcI-+<>w>l{#X!a&SvRs>9mtG%59=h{0u0s@(E8b)L!nlFa2jiA93hJCD*QPgs z<M9h(hFo!-6BUt>q=+m;9-!Qq{v*AKlrol7w86Lz@m^i=9%TrT2V`Od#K<GWQh{<a zI8NceEg}k0D~TbFf*d4~qDTlo<N=LtEM%E#Ea$RJGp-Ai>%nomxJ6w?QDj}kc9i8h z=yP)!k<l-17uRl@ab2L?0FL{j%}1qOL<tsdMTfL7Ww|B2HN7pxj6Fv28~Sb^#dYX` zV-)YP$EojfhGMS^eK$~U2gfOxz56JxbD}6Dks=ahxg)(Zy^D8}T=5(3WVzxx+({aW z_c&8>2G^a0vt^hu1LbaToPwD=S6t^rQaJbO-sqHj(tFeU7{AmMzu_LxP+W(ZyrFnc zb1whV9@2^$-II<6$0?YlYKrTeC<<pPS(YSH?oa=jKEN5XuJ{czc3p8DX3V<cJ<bT6 zsWfA9RtPggpgahUQ!r!I6xTVC6wWca2RP+E^p<-V@0R*|A8}2o5xvd7^0NBNed#UW zIK}&p6Gb6OmKEi8SohY{dzxF<dmVe5?g8zx+zt<ojwtRICyGMSl(O7{zU#8MM&5Td zhS+ySQQy5Yy&V+qqfT^+q9Ba`l0>-$J@<}iG`gjIWXL}p3GK4n1s~nP7_%I8u8~tH z14*P%2AAbtXmlr6Hs#oHja*athnls^ayNW*Cu6B{96Qk|ipVskU6%VmxjX80PI0<M zBWdlj+yU#}9nCLpU8m3<B$3i?m(dtS4{$Y6&IUeqd`#0Wq;O1YX3&`aCwlG!j9<#x zz==*#6r`DfBvJ0cSiC=)rF;bXjG@uU8KPa52cXgYsbAAIatdW2X^Qv-v(&B7=$~Ax zmG>am$Tihyq-O21JcxPWpNyr-`OS$=QADP>&h2s=C=YV=S>6Mk;&k?Y%0pVaEce5@ z4@UE@6P-ePkVFc7<FY)IKAb+19<a#J#$2ZksCVA^o!WO#PpW--?$AcZ&I9YS54pVd z!h#FchhDvQeTRX4!)NJ<+t+75cgsGf_8(N^U;Kzz@^JbnDBkk4j}NQg-0!O~T{gbB z)=nXT9}=AM2q=%G{%xlmKjiM(yGQI*pK;@h8zS7*ao7~HJerOH#as5D?{D=koo{&T zq^sA?+bJaQ(=N+npfpndwo|_T=#Ixu9r0TYHp>6ZE@RRh6mPl6h^6ZN&s{9<*!i7C zJ4ITx%hE_6f=2#r_m|7~XR<s54?Pxn+AZBqnU*XML!(C{PrF8L^*@s(hjkxKy`|fz zoiZ(1n(5=|6L<z@`})^&o-t<IZ)eW0-|4p6mK)tt+jFBm^7ocsxIW+hed|B1Fn^=# zALDEKeD>ps_4_s)R3CKv9(DHJC(<X=X6oO5dD;H;7gl_xcKH&c8%`I2f7yEFi}tIN zM#_`vQ=oXuK0ohO-({;6`gHkza&1}^5h}{l>DY+!?MzSCHn?QJ`Ud+h-MDkJMeA>$ z{7~)ok5{R?ETp{f-wo?8Z@Wp5Wh`WQGWBn}EH0x{*qU;XMva>3GwHLDbw7RUu>8e? z79O+BKd)_!-RZVQ=j|u-dHmZ$a#9Xhd_?$=z|TXla6x$%UUL1trTa@1{uP0KBIR*N z@?7fQcFJ$dFPz_a$&&TEj`%EiTC%V;<v6tE>Bqr%BBFRp?*T3gDI`?=<+=3vsJ}Sn z>t*}r!*}mg-{y$#$B06C*qW5pTh@I7j3*<Cw`}(j38axif_(HODF2H3i&NH~<>|(I z2d`S+cJcy|kJy@&3FtGl?vr3V9Z|fc_dsdHzod}Bo=3{lpo~lX+fLbfvqke?yDnb8 z>CMlBCh`$mlQOZ@cb^7hY((*v-lts_Qb?#qz_|2<XaqRrk&e~!HF}@c=dLw+g>fWV z*qRjfK58@;jHe=sxAZaPvS=KM@*Mi^GpY9x@4G&xBnSVpudwfm@(euvT<YI;PdnWy zY)wyV1Uv(co{uQ5krUe~BGE46;OXa6x2Su1S`=EAp4JF>9<q!}{o5{!(_I#}rY!0& zFQzZ0FY`=c{iS^99rMq4)dQy-c0&D)`#$ZnWRF|>Y?&nWUoTkwf!jt8s87GeA>s4W zt_Rki-)@Ea5<kpXABVrx=%w`Epm@uCz;m@X&)l`oIzJAow^K;qhlG`k@-isnQ~$P8 zHhXopeCzHvkGXKnHlZ~M6OY{|$Uq7|l;veGUWq8)vLi|IW!Kv4fmflC2u_hkuYfWk z^=~_c&%=yA^xONl>D1#vw&v%V)AuZ8p?xUJ`1Dm!yybww$L4c%U%7GqgI|nkr;xx8 zHKA=pnE=Xb;oPUL>6GS*Z!}&xbEz>OU%GED0_Bm9mTTE%0vNAH6mL27k3SkST)6sb zzm6UdDAI})68_!N=ygygrv7cG9QVf`wYLxXw%6~Vh(If|wNqY8-vGs1&e6GBec&E% z^jY_&etA2E1b#?x%0y6JO8whT@!lu``><r8h3TV-V7wSnyrqu}QZx!kaUV@W-+d|F z`SdSqqbFyzk(Umrd*5~9jU)FB+K_b3<ezHtHf5Ov#+wnvTh3P7w|>K|Z`LkfWsyfn zA>r6v1_cUb+2QmbYoxq|zWeWVhP&Ts{9~n)8XpZGQ1>3_a!q`9_t1B#S@%nS39@J$ zy#>akh~h0>Q&LEvOrlUT%JMe)?)Y@QkN3(S&OU04d!yeY-gjND_h<Th=>6<Bga7+$ zjT%Xox50QTqIgT!l$6l(AQLGhP$tUq4*Kq^>9MPS(U@_OO&T+uI3V{P=yJ&}98XK3 zHG7@<%R6Aa9Z|fcYf1_Ul!+7)C=+FQ7k&4&^xm7^tF7_Y(X~mZ56Hdmx?Jin)aq<l zRimJwyq3NbQM{#VN{Z|v3S}bYP4v1qQtw^f>s&7OHugGto4t)1QJ#YGM*40<@s_SB zDe5nzkU*J8c@KT=&2-DV@2_34$LQKx3k<A#PjeY>*=V=W<4EiN{r{uvOu&39-#0#U z&P4Wo&Aul)Gh*g@UR!qA%N`|BWE+GqloYZhDqB*CMA;HE=O~m!mP%#cvSkgC_5a*w zJi5=fX8QkJ*W3ACUFZ3n`+45yeb1S5-sOaYjMElyNEn9$6t>*-eo1qzVqKH1;*px5 zfY3G1lRgE6mU)i(T8>E0?TH+7eY*R5n(y6B)w&qYG}blbqfQ33jVP!2?7V}F(-v?< z7>5EBwq#F10Rfso0Rf&NE=MKj_C-#cRMJ~or>=LnpS6xNjdi{MO9wyWpy$%0OAazl zTfk9a90^d^l05|l1ZV;U1ZaYmW0G_GBO~HhxXY`oaxdQK>~W^CE{zLX0IZR5+5(OV z<7j}wmh34gAV3o+AV3qe{3bbfATqY_8_u))zIPsP)x`^B8nt!J7kE`bqKb^u7Vw)e zjs+;}5qk=X#sw4*G%klF>kdY8c5&9RE@T_B4z-PJL)K{vI4q3c0u;7nPeIXq0R;qT zLR^kZ&K-`Nk)@0?<kAHv+l9`CGmSNF?*6!+aiHz|?2w;v+5(OX<3xbMmR)mAaHc;o z*o-*1tR^TR%)I=#PXS@$p}oGAlah0XB1cc(pJeyG=1wjm-#4jEv96aNdCbo^L^*$( z(|%;N1)LPd@c@M_*;7zJfF@8tfM<xyDapAbk+pxG>`wZ0kk@c>leL^_tZU7xwtmJT z`<9nH?`NFW^eJJS3{cpTJp}~>XaWTUXo8m0l5<BR^A0cXzP$as+x=!|k28&RX<X0( zvfPb}wt&;ZI2E9<C3^}A2+#xy2+#yAze~;?i#(ogPpE@?%^9Dki^rM9x-?(l6{3oa z)42RDjMD)MTe7F1Xk0)60h*xYgk;@sk(^zeb*u~7hO9$vBioR5+5%1p<M#lCE!k60 zG+#ggLG$H|<lKqKOuMa6`&oCKdW$<7&NSBe?X%7Nj03H9-h)0tTfiA%oDERevQxQw zp)D&%nQJ9x*8l|s96<qLQl&k9T+T_(9gp0#cTD2iEqC0>UvxH{X{-y@sBJ`f=*g3Q z#;Hf=gmET7VN3Q@J;D(b5TFTlbY61qWMqL}^^#_-9OXSRaOoGEX{-y@$T;YU+IiN` zIBfyvg>f!GVN3Q@J;D(b5TFTKE=bOuid=EVN*XiqjyrN`XOA<DbtwgUMu{~tPFuhQ zVVn<8*pfX}k8lJ91ZaYmi;{DvBd_fn6XzVb<D8SfgE-Sz7pze~h)ct}`Jyf0qA)H5 zC~V1|sz*420s=Ha%UQ{~-y=D@IO|v!tdVulgKR_AX}+8l#>D`IE!k7`2uDyrfF@}9 zLvrqH<n0^{Vjh}T+Uy)r+i<3_#y>{&Fqsp2m;r;HG7t1DXFj?=gI|&<XCp5KC~UbU z&(N3x-G>{yZ*3P85PA~@G*B)}&Yg)IxclUa(o+|@-yH96IMZ0yS8w(<-$;R;a4naG z@kfBdmh34gAV8B+RLd2~xpR?EbX*WK^2y=e@+q|)&NSAQd46AW`rW?19;F~Q@aT## zE(a)V$)17&kDy5@s^w3~x$}`fX8a_&$+XhmwO4C<oN26UtypiB0zFDmEq@B*N`S(a z>?tT9K$B8b%T>v_3z1h}FB)@f{zB*Q(f%H18tXbOQOz#Vg&w7-maD?}GeBWW_7oHl zph+pJ<&tFX#YoOB&N|kGY(v&Tk5W|2C1G3*P}q_^1qB3XQi^K17Wr4?b^m?c(nis% zTimL>9B(LQ%<mqZ|3Y-N-SYnBY3Xx@zu9|T{0Hp~O7EB3nuarN(=W|^rtd4s`SMrf zjk^@JOccvLVwpiK!zm!3fH3V!#(R|OLb(~qXEVi<H%h&QI7Wy{=v1efZw(3xa`(D0 zZUrc8`KwU63&pxi0f8y%(Ji6ej^wkMf;Vj+NQ_EKjFix(Xrp^t5Fco{8F@!2;g*B9 zy%BS&^4u!n6cAA031Xv^+d_%3_-y=E%0lsIpuBw?yr6fi5}--zXnBR}evf%u7?A-A zTjrAYn9YPT=YwR5dIbsyF)fnc1qs2jEIyklNmA=lN2af6Q3C1;)=Y`8Y@x7atXNJH z%M)__aEjJ82u!hr@>e9E%@m2zy*yR|@>jJW!l)xl7}o+6w#0938K7t@0EO!)%DT@= zW6kQG=+?|MJE=jakH6aIPY2Tbvxk=N9p~1aTFS(fj4>HkJnffOZa0&^;dE#AwE+%} z&~l%ZRw$UysFwI$D@}~4ZdEhk6cA8AU`iUH+;8#OOu=t>6%#wYni6uZ>U>WNNYIi- z80r2&QOlWcCAq&;?qf=C92Wuw1g5A*>4cKr;<NesPL@~Q0|y^AUydm5DdCro+uzfo zl>4m=LSak%t}Ah=YE|>XDIlPP$0fZ`GFp5#Q}Fw4)IB8>_`K~sEgF~f!pQUwidqhq z3<zbI9cmNm<5NIjih7huD48ujo3H=6<V&%srM!+MV>~51`Blq%T9lH}$|4lD#P2$3 zV!UXHOE?7tl<>G@7D`r&&t?jKORamzm)dLl8<eQe`rOl^amg%<Z2zFB<zmT~-Ie=z zjW>)-QUX)dqijOSZt>ZC{lStiTMj<#eK(@GuK|RO3wzzuqLi#w4xz9memfGEhov2b zQ@$1gDB*F*E|mK$KAS1{t*sQ+prCC-gObpWvI`^X9~8CZ9s?BZ9h9OT<rGF5tIObd zZi~5N6Juis8n)!Nt^~BoM<*@z`<A~cX{=lU3R`A)ex4h1w7i*JwCueeD&KE^Q$T}9 zxkO1ii_c~Xw{=)+?+~sfmoRb%C~P_T#vC_Y!a(!&&WJcr&^u(8q7>DVTPW!*KAS1r z)?p0_+O|?OF1dw~CqQA#-J9pQ8=NYp!sU`4C?KRC`!_|k<Pl0Hi_c~Xw{=*9g0>y5 zC66%j1}JR#%b<B~$FXDM+Qts_Kmnl;QB+G_p=7rBY^HEqhczhZ8N#*X6-K@Qg)PfU zz6>~0-s@bftOp7Rl~4UmQ7!p|lFj0?nZj*7>*2rqmvAllgpof$VatytU(zHD^ja^8 zNCX8v1By~qOManbxA<(Pa9dXbTBTAnU-Ap%fdGXq_e#Ee<5ck;yj;@P0K(0LzbUHa z0ii@$d^S_KeZyLNhj1+q2qR~J!j{})fTF#FQdCO;VdS#9PF@$id~0rJNc0H9mfY5r zfL6Ke^B)}${-)%z3I-@_Id1t6D_iDjVID4=%hv${Q$R!iQc#rSw)kwOa9dXbT4lJF zg2E^ips;1HwsoQ(J3GSE$!NKtfRLLgs-=)n@>qN}Q@E|e8Wgn3a4m&|Q8++h%Y(nx zjoyB{u(|Pb0}m7s(hx<p6c$Qei_c~Xw{=*9f>s%>rLZuH1So9z#ao@D|M)hyJ2iTQ z2MP#GQ7uJ;lF#C^nZj*d3FsNZwG<IX(Ex=lD;{kheJy7TZ)M?Je*XeOG*MJbQK96w z_-v+dThH-Zf0I>8)T%!J&{9+w#R3$zJdx|IY8B6p@N#6coSb+27fbpV^+>f86UqY? zpUo6*>##;2gI1{&ZAZm~Q9M9l%h{VVR=#$pu$SrQ1_l%mn4(&W3niz;XETM{w-V5{ z!?hF_Mu7l@ExE@4MSBOOsFo5|Nvo9qL{{Oi?p}qzj`=ISU6PSsD3xD-*vUS>wAb=P ztQYZ?tOYOSmoAOWk|jSnTF^6;w#rx!TARPU?o@1-%X@lnNwcnHPIGC3<?Y&3%xkc+ zvMH5R%A0s<wtHxPW3yjMy*kZJ*;+dslmqX4=l3rqtg_Za0WI%LT;t^Jn8PzCV(;zJ zfWLH92ac*EV)G!MQr0SMm9yBAbv=6WK67PX_RzIka;FzhphrD|mhbB)KTDOi%3Boz z9<4dj!z{@>-<>vPrjs{UN%Q`}Eat{LQ9c3Qs7LUo%ig8FmI|Vzw8dxh^;s9JRS&G8 z19}kMauSuY7F*&OH~C+JVNXHO*nohTAU?^Iio#*aQ|U^WpYpx!N=*l%3(DwF3!kJE zjcy6ama>65;v8Wuszalz^#m<tg;FL^M@-?|fi((pMhP01vcf1Gps*!JR|%+XP(V;h zY02F3ftu!g<ywbzcui~WmKRDTi_d1t+KARBTf2$Q>Q8UEO284;oG;~tQ6WHKOU|Qk z3UcP}tgB>I4rCouCg$DX6kM^?dG2~gPbr9x60`+W5JtHGg)KRcK+$^A+*L|Bp;QTE z9aD~vXl_=2^rb8Pj;jP@9;`L<l5@9;RWU$eOU`3ZKu`+uR&%$iWL?R-e|@6$Bn106 z`9Iq4Y3|~vZAjZuWy!iy7JI>2$9W7b$XguY4KhwCl_X!vSX?ihFHF=r0twMYzG&{2 zk?2;k_-xk2bkzYGtf5EqrIb}wIIKLmZ%K|36XA)*2A&``Afb+`N<CK&M3?J`DIlPJ zeA?amQA#x{+KRE--0b8P={v=p&~CSXKicqM7O!y4Hs;p_N8RbY+B*$4bulBGK543N z>Sgxc-@|0x^{`)-OsMR?JB$%Zb&Jo2FG^W5Jd4>lrm(sEQ3l@{l<A}U7+8a(l<Gox z*y6L9GHO>zbG`T;_t#}beQQuIg!<p3fP}a_ER-4+pUsp*LqB)&PU`GEUuT5_Yt^D2 z#pkW%Q)&pMrp0G7Wk%jt+<w<ucmucD_p~4`um(vfHHA{m;<K5;QHM3OAj(Qnk79)p zCpDem$>`dZg_=86*)s2jo9?`KyO=jG_leCJ-^`#4=+eq$3O($X=65Ri9#xZijtkT@ z*H<_N1f_tWlsKVOxA<(PaNQ}PQq@krb&yis3I!-^DeuFbO7af8e!gk3pn&jil#nQK z@b>)P*-SZhXO#KUJ-Bk-vU4?+Fr{F(ds+}5<V$tQIVX^HoIBwZ5R{@32E`Fd4U5la z3g?j$ph*c^hSm19IKnUi3R^Z2PhVOtU*SL65etfX1qujCF+!<j@!3qN@z_oGfZN48 zIeK}l5)fr2D5Zwvf2}|Z;5-heXl;j6Y6+#9#b+~x^H>SUU!`ar)e=T*fWnsCGC<K* z0E$K!byVA`W7V~GRCvfND_hpQ@YZ5?-^?A(mV7_BOJ=q3?kwKvZY;mu$<(T)H~x!C z2IX{~Zl+r1!sdgW<@_Tkb*y?qVau`g%X;rOeaO4@=^{6r0s;yMOnJnrZ`HPz$de$R z27lRDB=)<Z)y%xf(cUkO->u0SCyc9PP-ZmlW_FCuYECvQ;2)u-zIasIVoTN)P5}W0 z1g6v#j~ZC4oIP4NDcajOOuo9r&99l7mU>o0p|It>ySsFH;gpoMG!Tzi3tNVJlu}$8 zSdR#WEjiNRl$5kIl(^Kl*bDZKqn>(P>Ij7`xsJjqDQRhBHMW{qc}pA)Wf=C36WxD+ z{})7!+J89<<~-s5erVM`x8v;|=H$F)PQ>_ZHBpY`XkhkASv;k^-@h~xM$>;#)be<_ zvd-%dXY`7kZh4Oa8Ymzvyh~|jH4@5~hcAYf#us;PA0K8|7gOp_PH;d#X;is^0qJi_ zQ|r+Hg)KW|em@kyxT?3ITC`CLj-Y^GFK*#`)ZA)ewY1)vp4kkX+s4D)b;X2G40?or z{GPGTxmIDcU$STG@8p%z=8I?iXQ}4GXq6%*K)*{_AxBU^c=Rr%wbe${1kV0{X!*X- z2Ing&(1SMJS{Th!qy*@s1r!jV36!?hW1?p9kLgVFo{xGBPY!cp{u~=!-g(OVY~$}v zAVw6I^D83EDJjsCOlf1a4p7)KB`u(U08OB@lIT93qDM?bRJD!}RYbSN_DAnh9=F=1 zNJ&WxC?GVxOKB%c+NVfKNeiq&`FeeBUrRe-bV!ksk`_=vaPLw&2&H3+l$5l<8k9<j zU;A_1I|!pwij;W+Gn%Fkw)F<bypyES#Ss(`irl4i5=v()a5m-c_Q=O#dh{LXRn2!K zq!iQ>tU>wo%l^KWPQvICps?l1<JX;4-*xmZG|ulR1xHXoc<U~ui%_1h_-v+p(raVf zo?WB7rCCqLDFs?!4NAn3N7f<hx(K6dfWnqJT4gaa<63%e^vmEX1xHXos5O0Q94Ota zC#5BIOZv+xf2x7^{+4f?hWTDu)nZ{kufeRP!8S#?TlAHTrkE78rDV!uR@(rDTO+qp z)&dF$XiuO#Wpx)d6Q*u)jvege<u5tknY?F1T>2)xyeaX!0=krfxNMwW-fWWsJ;{_O zt!@Ddd&Hh91xHXofF@9y%AKUU#XUCqTfLL8E~P-rqVtZKKC7;;Cz;aSdMZF+OZHSL zID!I?pb3<xtsd4h*3+ZDc8bR3^Df3$^?us^b*S^Lg5Gb(8hGtnz7jg{!{f0N28{9| z*56+9R!o9}G9#nR6O;1i2-#)Ur#xfz3{cqe{D2}(@2zv45*hp5qkskq2<Prnx=Pmd zusFLo>sS|SiP$&Npg<3_bQQ+a0Sa5Pr%J(53D5*eFY8(BIqUG=R%Y}1%wBx9A22i0 ze^x+Uy)Dn1S9?|S*5zK1RHWV@^KL@Cu?okVy5?19{iSnGj$xDizV2D8w@}zJw6nDN zp;2vb`XfCOnF7KX8TAPY2q#Z6rH^o!GO%!MvtfT}FZcdyaZChd^OOC35-2(UC~iQ4 zN6%W%TYUnQl!&1GwrGG)0_DB2#SKWwap`OI3&f?*m8Z?1HV54IF1?mC?95Z9(%zHK z*XNhVAuev#p{7lnL4I5|ZhYK1WY+jv`bl(qS$sBY;i$tJdO(9U^dQR6(qAb3tc^RK zGU+StcLtx%B|FmmT}MoBTq&6XTE@?E`Vm$w1BB7nTDSXgQ?9mcvfe1^uqAsJlj8;7 z8+bKw+GO7wcm*wet$|j&#b<vbf1@rMZ+TOe=TA)gQU~+&6Ze^6v$Dm)`m@HvO_4dH z46Mh*R&-i4tmsqXtpTEi&t_drhc)zo25ab1Ed#AV)?kaT|HPQ4X4QAuyuV`VJ6Hec zZc06})!E&)xeFbq+YK?FelXlXN0HtmLhBQI`uC%O!iW!0*pfAZ0s=IF0)l!p$QmLX zzJA-4eayBlJ3@oEt#+9R9g)vHmrN2J5fQ~=RLk>H)BRJ-UCsdHE%F65j=V*_pvIH) z<ppU2eD>9@1I;^E=QvwCMFiS6tgm+&;<o}=pG#NFr-Aak^@24tpoJ+#YBV#CmCEhy ze&b9CT0mK3$NScxwE3x;uVtvT#pf+Po7*(!F|5(1L4!3~B0PhZp`vA2fWlf9oQ*dH z_Dy%@XDONp3bf3)B{?h<U&|K_e9Ca~XPDKeL2>il&U#+<Td^V5#gxk@<9%;HDV(Ld zPik|IGR%50Kw-<GPYgBpkAB7}`S#B>K>;DE@z7+75I}=RBdp;<Nmx10`Ro3ty<>?B z9M;8@%-aSVkU(j?=S82Olozd$)(DHwZdj{?nRRhMXy2x~hUu_gJo5zu8mxE4jPhyF zGD>oHkX3cvY$sExUf%ELUw1fnIj1jIkzME|cag&p`#QxTchQzWdCp3(MqAw1AN!+( zd2K^oFXq!UiJ#;sZ^l0q=bg^mDrxYJH0Fij2OX5N*<N*ev`BEuwi@F149^LpSAfEn z++!*QM^Hd$llCQ_(%Tv%YWR*(aa2LmZD%8I>aq;$SeH_uW#gPJet{l%)LR(O1t@IE zo+<@LP(XktQ2JOei5kxO8{Kl5JxiK;&+N$Nur8%Q%XQhS1O>EY${4vfGKDSKQ>Eaj z1f}$n=)N4dt8sLj^o=$*8&&f<w=5f|BSaO^eL10vucenT`UWU$$-Osg0R;r5^s~lV zuLSOm;~%%&&0oD>5*IdcK8Y%nxS&}t({$A?S1E`~(}ef^^7~WCb5Q#Uqkn+HmfQy_ z1xHXoP|5&noT%Y@(8ii?ID5x+HDe<;Ijl=5&~mfbt9}6ubu>U2GC7#;ux!b9TczL# zih2b~Uy1IkfjcZmw{+=RCjYfE-i*g?B`O74G_vkTrF<=Yg)uNdVN1SeDg{SSKzK5) z&Rvh<B{J+0-w!!PuvQX0YV}ARKQ{0v-g-?aY<cwa_ng6R4=^1%-%Jdrz#9}0m@-g2 z8Xve%vq#S)RyMEwR^1zYr&=I);R!sNec|}syZw0S>)3y`<i1Y5!4VV?;s%`bDe=|> z@rga^7(LB-wBhrn#%H};_D(74(fj=mhu{_BGFT|_7C##>h3QJc@n-DdP>?cFI84cQ zd#<zlR&~>+PGOIUN`V$oDjja;lb~gg#P;>T^9#r2@f|mv`bS!N+n<^4Fa_~IT)K99 z+mFj2VT=k;*plxsO2H8n5b{30z^4qB`_aUJM|?kG?_jMYc(f+Z6yGa&G|8GQlpnf2 zXqp}@;&}shx}Sc0%Xz*^nWQF#yLe1V{OV8V^1;J?*0q>%H7=oNhgif0lu_c*l)$}_ zJ-Se1xf8pxr}xOZX9ID8C-A7&k-T>)Q>;k=3R|*9^#+<i0RftlJ(?mu@!3pa?_iBu zhF7o#1zv&DUwX``fu}?6G5hvTa@s|7G1EU<9O!qow@eBpuQ<_P7%v1UY{^e&>Jg5h zfbeES@|>Tc)-<_0@>AGX1&%u-D|Ghe_v`8KeNrj#YR&^$4GQjV@Mx$o`UEI!$@fg9 z;HU(pydWOEVX<=dXj+eqCVp^Rxn@G3e}O0P=<>@Yd@U~sV_1N~mi(m1T0j9|TZ4jk zpH!zyWcZ2jW~D_=(d~V_qJNZiI7UiATrQ@oY*64C;xb$q^88KDyKKo(R|<|wP|7gz z=uL~2vqvAE%We)%t!>s`eK*ho;0Zj++aUQ1>M&uv7@)8vKf$sVP(Xktcr-%3222k; zHS;$Bj*(IjmjkWq7?i&$)8*-#pN`p*<E0cFm7tW7;!!h;pSRf~{_>#|XzBS^UEd=d z;n9mi85wwjXA0Amf+I8_E=n0GN*)bp;p=mZl%iTdfM?J$QWzrw6t?7eDFsI*C}ooL zx<dlJ6!*2<lWQ*p3VJE@x#+>6Ws)#P1t@IEcM?!QPznfoCrOa6B&{rdYUlUv{5w~P z!lvHASihv%_>zOtwBbnqKAj+p(J4~+30f&QDnTh@<SR*Yi=W#0`usaLX<7WvHU|YX z#AS>y5>lkFr%HhqB`D=3dDGn5;$D*9FQ=qs&;0ug3TV*sk}$>uC~V1|sumoTpp?-P z-F6m7ktzIJql<b%R8bnvecIPDS{N^<NZ}`FrQoOprMxVZ4i=xy*XQ3#ffiV!tS?-_ z*YdJ3UQLn0PpwM9Q3*<URVbY-KAW%4UtyF2EwDx@Gv-gf9la`y@c{~3@-v=Na8!a) z#tWs3#b+~xzrrX5T40TG==nvymhr-PJwRbgey&mqj!IC<WO?h|)8eNce%H<K;Li*! z=eOq<PnI<i#Z6qTS1QFNG@I=|1-&j>x>|fq*23@RRm-y#>ltW3DRZfY@6qeRm=d6{ zB|n{k0z&s5#eE70N|_>*r!794DeN7rLGhz|mjJKO8m9<ja)82?94}BnKzyJ91jGlF zY4Y8tt;Np?{I!RBiDk9(n0JRKM|f%5Yz75wJDJi}p2?WPmfY`v0xjqnl%SO9^4+JK z#rJ0Z+QYgk9?Wh&JX74)(>+TSg8~|~Oc%zq0EI1CBPj3)nv|fFM`bj_Qx@M3`MVbD zdUj4a^WffWzMhq#x&{R_Xn9l^(*qQ?WKThXN6@4MrOdEqT5nm6I&BVBy3^EDXpqMn zc&2N}n$ykv{^$kyHV_ffXJ{IecXxX){lX5WSo(gZ%;ybF!tiFXl_nJoMM!~`8Nzrw zKw(S#{;*wjGjdTCp8|qXKmZMtcdS{~Y-`O|KZRB`9BJwdXd>^kBO+F2?rqi;`r7Hg z##+~TPk(dm=Y>v{BXymK7JX}?RQjZb6H%a@bNjm&{T}ljVay3o*s^-T6`@^KJD3-4 z+eRrkf&xOut;v)b;?LZFc%)uH*O6|+O`AEjoeQg1gjCCv2Udn&KDI36e9+d{GD8^i z{y|a8wO<x?s*ilpv>((lNhvsj0z#!GMSaS<)_jTYn)Mk&r}j29uMaKcef;On(Dew% zESvD4Kkh{9NIim{W39)88opj4bo26RzmDD&#>@Z(UZ^G4x>9fi1%#&737^tazI@KN zxM$?AmaI!D&{AYr+PH`*`)WcDYPzQ|-VIRLl08)lj-Y@5O`yDHy(2Y!l-~bv?r=@# z&J*wF3@E5+6s_skgfT8aVM~6aq!b*Lpp*#`+jlH}L&6bdT}pu#L=^=zcr-y6uLUS< z$(||&M<pm_qQrKl#ZSr{QP!mtXhBp_w5BHtV?uz!mh7oga8!a)Cd>Wx-M}4|bBA>) z1zHkX^om1mgNC?F7RJN?g)P}rrQiq(2ugWdTEHy%3iWqy#4P~7wXf0kj3e4JS^)YO zXn9*0bN@lPXDJkI-{BMxv}c$rly`i}y|d~1T<c0fTwo1~*7RIq%nMN1lKU4>KtTWE z_bq4zcl(!lLYZmt*-YVDhczfDu!at;>3PDK5umUo-(i%3BPbxC&qH+IvldwITU~OD zb4PCKXl|B0?37PecJ=(@vF7dl<xS`1C87(wG05DWH^p5#u)Y&<c}`7~J3FU3x23Gk znY?<}d&2l2Kw-;M)*81$j#lPU!qIya&_DrU-CfEYxsxogxHsTC3F~4l>*Gc`%cVdM zJenhn_W~5QWKWfXBPbw16DS{uM;}_OoINU#_Sfha+tfGZ4ixp2g1EpFcvN6?TK}2h z17R!-P}uUpGl!CnZs~01_W3Ii7f?VbbeA$#{Q1D*?-A?;Yuvhehyy(+IjYX~z0v57 z6~-$83S07fM5W*e3J6LWC%yN37WdLzU#v?h8eK$KqdQI*V*?bnWKWfXqY|JAb@YmO zw9sPZ>=8#-DbS+cXmno@#?%0XE%`m7Qg8$X1f?vLn*PXQORj0J+w$nH?M9emxpTN> zCNy#)dL-3E8JG2bGgivwwMG4WStyJ}0Sa6Gy0>EJgHt2Sj>IcTO2H8n5N_Y4EE39M zi_c~X`rV1=Uo->%Ea)f&T3`)I)3njPmPNw&I6z^`SD#An97yxL$=r0=Jql=`fKcx) z<zt~Vw)kwO;J1!(W-YJ=rTd+FzLt-L(dZu(wdB#sO2H8n5Vj9Yp7S$RYI>2yHOlqH z@#;5bsP7dh<EGqi5Mhn(RAIakps*#sUsVc@pn!0@W-;HRH-z%B#b+~x<E0d6fi)-^ z-8Y2sW`M$${5Dc4ID!H~y>ZDk{iaYFS$sBAIJ!#lqbt^+XmsBcMza8gE%}|MQgDO@ z5Vl`RuA?Q^C)QGn_Zi~dop|S<)b{!L#9Ag4w&cBi!YL{3^RrYapIUr2Q+VehCH&jI zP|K{(gu<4*=TJB$rG24370Pmp&t?km(Ue+TKC@N`g)Mn6q;QIQ6}~Uja%+ir#AkDT zvBuQ2ERh=eG*HtV>2OL)T0RkvmIZ2>J>saRre%dhcbUbO9HVebN?KN0tE|=XbeLeC z*jO(nW9<6XH@1y1wQIBsE&1_sXyP>6Tz_b@yKqR|d%GcEHFw=_LU+(uWqmFbwwzh@ zdnZ1P=T5!WR>t%NDIlQes{cw^EtEADpUsr?r*nGaIvjMTt*_`?gMd};VU3mlb^n0X z!uTRUVas;YY_C|k&F*^fNC`|)Enf&_t;J_EMdIbXcjEP!xvO%fx+jRdjt~l4uC6)U zTO9FmQsIXyV^n2;qC0xP6U0XM1X(MTMAXr}vzd~8;Q{wb%`csm&040qC&*f1Bn2pJ zd1I>W6)m^fxih40s(XSY3B|SeY^L0qYMTdya$6|=4g^v^h_dd(fg_%R5-m?CY?*$_ z17`fBV@`=OWxQ|-2q?N6f>K<etg`rQrf@bY0s9%K7DO0YTw$yXP}q`N1}GpXh3ja& z<nAi#!|Q)IW0D5Dqt>=FoV!fKD(*_cs{dNs(6U|_Uj`^_S?8<g%$}-CoJq49IiNrX zR+a|^T69N*uOxRrw?2OEtb1*GJ}>i$Qid~-bzyaT)D!ez)qieBUkPJ<fWnsSDJUR7 zlTvg?gbk9rYphJ)^zz<YyTX0>dTW<+mvv#)f3yJT!K(l8NZa%VVSE*!uqAs6il2F+ z2^0`?M}&=%yX&kBA6|5y&eYEtG_}3Q8OXXcF8{VC$VOpo2vFFPJq0DDJwY}}?j~Br z9z5?XypqQ(*ihQz++|&wFYpSh{%b2hzHAc4#sGya*;7z7E=tiI5x$hH^DNFT&N|kG zY(v(ewvlb9Bi$3^OJQsZP}q_^1x51(6y6i$YstAUt+nmfI-%-Elj7aphBJ*dVik9I z1zPx?AYTjPn*fC^|0-O`Jdm-7>Go-&0}2ROSsoPV(H#*sOU|vg`rrS7>sB&e*^@a9 zXBz9m>h`E@=)vmt$T)2Qn}zXpfWnsSDJUR76DT0)jtJjM&V6N#tx(BxZx!~wU!3T2 zrm-%p`tP>_(Sue0(F(K$d@GF20Sa5Pr=Y+iXaWTUUHN~D<lF}9dh{3W?40{U2Q&Ba zIMY~{#szv{&3l4u5yrOx3R|+Lpnw2Ppzxj`-$~AGw1%C3&#~4SQ*BF5k28&RX}-WK zton~upe^7#VQdLd*pfX3MdJbr?+NmaWZfo<vx~Eibs^i3b*OD*8?p|1(5Al;#&-b< zTe7F1Xuf~~g6@d0RdVhdYx#;wPS3$b5?7Rb(Qu}*Myvx5uRy~p?#MW80b7N!EkI$* z<7H<#LyosH*K1#KKmh?O%Yy=f?uhWc<lNWRQ@d{_{ZOH;x3jG5j6`jUbzyyc)Hd{B z)qm8swt(-2u{A(pOZF5L5TFSZ5Ojt6?UHkwtq%3yb%!~vyzw<IyPRpP3;PBj<Ddtt z{-YIW3)n7<?*kOJWKTf>0h&MoL3c#hAvyQ074t}pyKYhKxGl$qdz@*kOXC7PSoI$i z=s~{h5XSZZg)P}rP(XktP(aWf5q3(>ZLuP*Ukkm|wyi0iA-%_$#=10L;1!~ZjMKR6 z6vmDKg)P}rP&6)}fS@}fY?G|}&f@IitYclsHe?-Y8`*}e(-yEz7&`+Lwq#F1(R={~ z1kIOSl5^WE_m}jcfuFq;w}0m-!<oh!bw>oy!uJH(C5#^e6t;Z+{wG2&^y_S%?|#S8 z-5GEU-xK6V$+@l8{NXbbr=@N0z58ie!<ojqV2#>Fl*9J~`B50V0u;7nPt_wF!}kRF zNpkLcYhtq}lBV_T?9J(M$K_08U9d*RK~MOeAU_G?#{h*b*;Dlh$M8Ktc1zA}x6JwU zN&A<MN&I8yD33FZbtwgU!uJH(EsUQ66t-kf)gv6k_XPP_a&Ct;b;QiLo0;01P9LWA zIMY}ctWiIROZc83KMP}bfWnsSsd|KC_?{p?NY?GNIJ-FOSQo63x6l*5C&&-N_&Gpf zOZHSf!ZCbLkY6O{ez1mZcsyoKY(1xY?cs(qjWwpWC&(|t_%%Rb%a)7Zk9l{t%;xI3 zz)5XSkUf%fyR0g|eztN{kD6Y^p%o2h8tcN&87b`vvPT%d1So9Do`RCno*;WA=YF(4 zJ)IPDY2E<u%{B{M&NSAQ+MXbLg|R0<VN3QjwLL-hNzVObMZcRAz5YgBcXYks9%mZs zN^MV&eZtrqps*!-n%bTq`z7agTc4QDF`4_+G}Q-G^f=R4S898L>=(wq0EI2t)716^ z`Bk#+XN$9ovyOG8wkOE1!q^|6uqAt%+MXZ>tb^7ef5oiAvNqa8S{tp1tc|u?)<#<( zYopcwkG0Vb3FWZGXXC2|)<y&66ImPWtN+K^XorPz#NxA=g0-e@{6E%4J0g^${@Q4I zHd7AE+Gu%XZM44su{PRKp&YaLY^F??wbA<jKh{P&CX@pfpUo7k@1#*rZEdvQgmK(| z(}uOt4%RPKku7s?NM0N5ng3WD?SRzt@jy*;eT7qWr7El~#jBbf7s_Fa&t?kOof5GA zmJ)P@wd2A#5umW;5?KSRqO6Vf$bYPjc0wp8Ek2tmSf{LL@7*hZUYh#aXon@|P6o1$ zGcBAlC55%oP739yzp9yDlPR1>O8B?6(M}5ERDi;k%_S~lWNozE|FJgODWROU_-v*; ze0OcMo&T{mns_4=w&Xkxr)X{Ks%ALiuZhz_IbiYGOyN9M!oRJJc3K#}1t@HZH`&@U zKuKwBwBM~W)>&ys5fQvDaoHSAy_1vkdxyHta%yF$?4{jW+Vj`wOkrK(bJlt5g7wii z5hiL|PH%r=aZ{pO9@FAbq_<&c5ifpJRkL|bNpElD+o`Tg{JVA0`Xitvu+A++`u|d2 zm-wP}&bky>t(J9V>6O;Rjms7KOP(CDE@n#W5}&g!TUP=eeZA=!b2Dk4`_YSUI1jZc zV`|^XY~~G&Om$u2E289_#b@*NS(mQu3O%~EtFAtJNuqMmVoQw#-kfucc->H}^r>sA zBI_<$e+q{wSkLvx|8ZU7-z8fv2I`1>h4UrO<>mOtnDEMWLJz)DcrScVLb3Z|f3Y z6vnv#g)KR{O8B>RiO)&qUJleW=PTEGYU>hT7RptN&t^(&iMHmW))Sma`)aD|5?>a^ zl>mh;IgfO;S{!v{V_j$VicqcvvW_W_N2W0)#}9Xk?QfCly2Mw6aVbDyOU@(BT|`-P zSJ#=nB$U4bS;v%*Kd)uR{FT9L_~E)#*CoCrj6VYuw&Xm9hLqMNzAjmJ#v0kQk#j8j zD{dLt1CO%~ZA$w+&0W9GySuixt|)v>vhJ+KUU1eiQL_$5#Dmu*zAE{0-r{=Ud|{&2 z^uMi3d|sk^)#9^R7t>Q)m-wu8T{x_qW5h&wqOl2Im-xEW(X~KyxsI3uLQ3lr->`04 zx2$=xi`4Fn|J+CHQ`r|PG_{n8{f~XbZd$j6f*RF*hVWbVg)*`(uL-AMhaME&wMch4 zxh0f47N5-&{6_za|0)6d>%dw`=<99?Bf<`+sHN`Kb9+PT`-nx@cdSU8&&G9?Qd{<g z+I#R}^VNUsBX&o&jEl6{62I@p#S5qCE@0}7#wF6WY}@9unS$TC8<-NXzfO2uB83t4 z4~kk2kqqb~`-rvvkA1|VgmRzFXY=)^NWPSieZ<=T$39}Vokl2ZiQlsCoG1IvdEu0l z_7S^JC~0jzn<@A$_2thKNNpdn`-E}-KPYOcyY&qGkA1}M7fL#t&*tmLOTKKCeZ;=~ zkA1|_+UbSDmiT=)E+(9k(mrD8gmTm3vzdb5+Dfs<PfGiUr4z=De^Attdkozv2zzm8 z)@kl$uy07u&|LNr%P;$gIkJx!TXHMaojlOCu`dY-e^YK*8EvMp<^8fRR9V?aY|(%0 zBbL#YKFa2^nZj)yJM=&Y`j>Dm8SMx=Q-H#j)9&sg_QCel_Yun^lt`P;W(v1;?C}E~ zXxrghG6^GdfWnqPZJy(9cB&ZJ7b?|##4-yd%I33~!fhRU{G_yxSY}~l2~gPbi0mUa zT=o%b{U7^?Wf97KHlNKDZtK|RC#8MFvIrw<fWnsLC0_;~Depc0ANz=970UfKpUo6* z>#6M{mQ@(p0u;7fbax-I!An!$M=YCA(%F1AQ@E|CwvSjgVPp?b*z&04%Uan-tlEF< zBbHq#H!MDzDcruXLyz_j;klb#7#VD)uqC&3-seXtIO1-f!_Hu5v|mj;7u`no5gR7^ zh_NNNb?skx2e7{>8SR__3S0j0y|=Qp>?0QaANz>q6eXE#KAS1r)>GR@ET=GX1t@Ge z<?cRWZU18*v0OsQZ1dSn;kKUIK4Q6qkvl+P%MZtujsE$z>^Jcr`-tThN*0^XW(v3U z)b<g}EsQ(?3R`~oT-oSiTXMUT|6?DqJVME8^Vv+{ww~HPVtIs-H$Y*_F&CRhUy*&p zKL3w>#PSLyo6To4h1+^+`-tTgM!o=rEl<imVwGecvB>|}M=YOEvfF$%Q@E9;wvSjo zVdM``*s}OnO{*Q3eZ(I4kA1}Q3nhciXETM{cWV2H<rhYd0EI2N$Kd`Yd>^p~>;iT{ zTSi2?+a4%j66VGl8O`pVnw;Q9weMnNytR|#mCokA_6Hn{Mt-bIeZOR#+&qNQ+Bl+@ zdcZCu9Hz)vW^ZA$b4h6$&TyEhW12xy3P_+77Rm#*jL3Em#&<XA8_sZ<!gP#YSCUdx zOJTc+aF`-vti3e%El3<SH`ZgKj)4bBDXOKYPzu{J_B`&Dv9}zFg~t@8rxur@b}`{F zMaF)69VQp?qS_yDnW*0Udt3_IMFSpjy)ZpBErlhv1p^e0C=*lDQb;^1U~?4Nqwtze zDPIanREh;C91A9<rlq)D!Y*kadZ?h6w^x00tz16$y>^S;<_$h_o@(%<S1YoucRu_0 zq}G=*dTH<Ma<n}A@snoxBhQ-CS4aA9&r8~+?BX_`z2m_S-nR1JIPVl+;WAwbIKsNp zn>`I^$la25Y2h#>B>VDpY*8+h=E_lriQyC_fl|hPP$-`?DeUbZy~g?YL}ha+!zQ=h z%$}y+Go{>=C_7p=GTZ)m#Mc8#DbZ5K=CfG~(^(6=ffmp}DQiC@(fzvJV&}fLKZd@% z)Ym(;Z-Du}Pr;;CtKN0l)8~qfbx=TCb2qXY-4b?Lp>Vx0ktwiN3hGBm&{9q)CG1-d z6*TY9EMb<$pLUtTbk@>O>IM|hKq+pQ6AITT6PdzVP{SZ8rMysz+vgwbU|#BGnO5;v zl9<AD))FJp1x53vlwDpZTt`e~3Tr_ffuxiQLMdg(X4>Q&dcKNjeKfzv6sEJ5A0<~n z0S$3^(5@g9&NL=6g|#5#KvGIYp*(1}Y*N_VOk2!+xc7I5DNJWAzeu)$0vfcGu`3FN zbCiipVJ*m6kd#tMC}r%mvLjCQny-eIR<CB5!gSVxoCQT&Kxw;@P`K?dktwVN6mCZk zN$!@jx$SW7a_*=W96><tB4?6YKzV78d^XoK)0qNm)HG<IloyX43gj+(loCY=e^V+* zeEIrZ(;R8m0t#vx5r&qEqNRKwUswy%nF4F*01cGNb``s--8>?~yZJ`U>c#R!`{e;6 zykD1}3Y93cNY)ui@V0viOY)_kvl^q<btVXA4Dn2m%62v3FvaWqt-E(Zr%>G0X9Gk~ zl%%tmK!TQNp;We;{FKGCEV?jhdQvOH6sBWTzmjzRhR$M&v7?0&6%k<`tkHe7d~-ES z45uhbwJ4>!P-5gwTY}lu@6yUvR+-P4!gS1b@Mjr_Cd^)fp1&y%3x_G4`wuhOidJ%` zetss2iJ&M+XPW6ukQ(;Gc6EDw`CpwMCX`G%@zygQQ<x4NO2P~SuA`cE4WT5+_xW_w zW1?@a=<G2uoT4P1Ii&NlVue!E9)9PJyT9+HYPZ8EOh^4_T$G}-m}2cX;V>oJeYw3Z zPyQOJ{b93!F0Eydl%lgQst6_4=6q!e({=s^XgYsGwN#bNjYS>Z%XB7&Q<S82q?9U> zyP<#<&fWH}opo0nt>uh+tMk3NBpAgGEvRLkH{pnuke$VO##^vxuk%jjLTgzIQ-;Y% zdT0SfXQe2mn&h0Z`TCq`>6RUEKBzd#{q3dBejD=ZNahD<JJNX*A@RuAd`%`Y1seR? z778?gq?BmM-CBV*&AD6WM0fK=t>4_OzcyQ|8HZU9ARsoF^?;tih)1<-z9xGVpoj*L zK!FC3l=86TTy2}L&n;kB%o!(rp+;_ok)1tliJ0}E`J(eCYKcd+ZN4TGnF0+yNhr_& zl2U3&?$!ykY0llxK0M@B-#5hB^IB&Q-XOY&GBTfM4%HTq>ezfu_9#HP8y8TZfhlp4 zb&k!~=d9ywgbrjKvJV7!gzQ5d)e(;zo3F`4rf9x^qVuwp;z<724YUBxz~;+Vy0e~K z;nc|A<=$KpjADm1GEe7C)DtCj?M?5O^o~`mYqC{5Qj@RG6pW;Y4p1<X9weoNB>x`? zv;fY)G1sR%zo+@$-BhiMUpG2K#@9hJhw6$)kJx-o_J}FafY@M;05pK4vkZ*nfBirU z;0&BLsiaw2r>=KcmPUsTojHUSz%z#)5s&KId`<R<DbN6t&OZW4XJ6Ek{BICw0i1ym z@hhC=RaUtdZ*=ycL*oJ+JaeeNc+|k=YqCd7fd-JE2^v7sxJXO18wOecXJBmMH{56U zeeXQps*C4)Bhf{ap@U}*H4u*)+I&s+h$$KuP@n-MoqbV9vaVjB1#s4JHlmi1b;v&G zK-TH}qlV&9J)5t|9x+Ap1r%riNh$Rt{~HBb0B7KgEM?pwmo7NjE_A*(mjvVBVa+p# z8jF%fcGp}J-04pYHX{x$tI5}Aiq1*_MQ5exe3H77|4jldfHQFP^!*{b_ceENkuHAS zAi|g*03C?1&Kzna9yPJ~n(Pr%paHP~1sXt7$|I8hO#>}}GqCp0lbuPQ4)PjKZn73S zbmkCr@XVnm;!#tZugM-U1sXuY><efBN#`Hcm;7%QXaSsod54#GUfzD*?S8Yf2OSz0 z=m14$4mA~zn%R6!_J}Fa01`Cm>@KA=ko<o%&;mFEkEh#{)WN;xjL*}>gAPO&QHBnl zIn+!%der7?vPVqOxPSr;AZfldl&otUXaSscoQ=?d>__%N2l7{E;5{lHHMaSh>=9Em zUqFEdkd)F`^1peY1#kvt+HEDZpLNHnx484Yxg?kg0&9>kn+f;E7NVrN-Kku?q%A8) znQJ9x*Wl|jMQ5exd=ik9(n#{ZWuOIc2JYHBCT{JPJMQE!I^UaP0}6B?^DvtUTAGVT zEp5Igd&Cr2BQ`kd>@KA=k^FBJXaSso1$xyB&00Cidt%_yFHqCSJW!wmnTOd-(9%*o zYGv~^*(0XF8YCQbc9&9`O8&PFv;fY)6=$r_n2C4XkxM&!(4iFQK;~gK6STAvk6PP& zP4<W>(4Zda>@KA=ll*TJXaSso*Y=G`bPn8c&dJ|R(4o<V4%8E7GeJvh@u-c>*JO{F z!g0~rT}pXWvaUs-1#s4JHbMuoA2jGd)?qdiw6qbATG)I|_J}F4R*!Ucmr`0t{<jUZ z0M5YMIU1~fXkKZvb3|=3V9-<dW)6LHe+Gl{K+ohgG#(QrZS5_2hOREqeYmmv)^_>& zOwm~>m=gtSrZkuQe>~6vI0FanK3TQ&)P?Rh$NT#_Fc%85nZmWS6^|ab`I_tzQ*?G0 zDB)UKO8&PCv;fY)Cps=zJ@U!n-tsB69q2gyZeN4hOyOD{7mwQ6d`<R<Dfeb~2_;-h zE6M-%ffm3S_+!RTRyCPc+Pn5@Z4WxOiXO~n3fIz3JZf+AHQ6Jk=<F^~!nL%P{O=HG z0i1zXUoX1)*!+dgVHq<D9oZ9l7|do0*V0}*>R|IV*(0Xho89#<`O-$R?y*1%;H=|p zgbw5{vM*dq2l41Jo3F_pF-2#0ff62<j&>)zv%Op1zdS8{$nZCNufv;*8S}eG=f4nL z4ZoK*ieBB~R_*1zUv6vSKWOilzOQ63{nFfL8qQ4K6QrZvML0}J6k;DCW(XsKq9jnJ zUCHQ^&@((Cl#aG1Z<KnA<ruMK3e!8)Y35Tv0s#dyP`cVr2<2CybQg*x6efmKl%!ge z(oHB`{WonNNGwW9ESSRdHbom5P*4yL*3!*>QaE@QrWE`hyzPycQ<djdVIn9>0tL|p z2_8Kqly3Gy@o1pDeH^@?cPvww4h>3LUg5gKb=2K{N+`MHJ!UhZ%=w^qY&cOhsy86T zw7BYkq&5AtP`cYmQoB+|rmtvW3e!<HN>U1r@aSo~hj5q@E5vC+JQ1c#^93ZOKo2OL zgz~iircLveDNIM+DhV+GLA7+2%uS|frb|TcwSaJnlC+ML@{HZn?qx6EJI<*q<CkM( z{4$SwoYg(ishKHxyfeo6>DZv~(TmU6&k84;BI7ZQj8hE|bwo0cfy6jo#N|1mJR@<z zzXTH#J6_tcKdRHGFdgIkloUP+xVQbBP-K*#^GoGEru4>f{wm>045uh5+@n51>1{h% zUUd%0_~kEU{4%sCh3OdQ2MWqRDbEWhoKjcfQdP$9GEqk)GezUl*M8pa<HtouA;VHB zOvgAsC56YOpWRm|gQZ48GJd&@j9&&tiQyC_g?rRrDE;i$C0~lk_~ni=ewisu$7p0w zQ2t37Ae?ZDjQ93r9DIPNW15+waT#b2u={Jic$zOtVLHb8>DcD*xWwB7g(9N_o!yoD zc#UQJGCV?C0x_JTq;QW02_@bhEcvoU#xH*-<CmGjbd2-Uv4{Vp3>Ho}#gVu?e77B` zE*+5!l2SA-J?+8vAkG(Gi&B`5R+!T0=w8yI2ie>Mz#|>k98LiVnp6vpXw%O~?=mFN zGcd8s;CW698Sfk`<DJ9%7Z7yZ;S18Dhu9gOpXbEL_~qF$ewo`bQ*=Z!^n{Or>@AcR z0zCs$n6AA7Xwbo0hDyKif<5`h94B4EK=bv^h&b*In4%++K?&E=M<_!BJp)siuKf#W z;aY}Ciymt4-aN<IAmf)S$oOS$$4t=?$)JR5=_iz7fu4aWOxIokv~VrMrC%6k|1xNv z(^1ARx0UhB+#4{Z(A{1ElyEKmg)%(QGcbke+P{DnuH{8((ZlVsk}m^}l=nKz_+@U# zOsRaTr2z?)a4qpdc`?v4Foo&bD`0$cxRw#pFT7}fEcucqVW8J~Nkk&|2H_NtKnd3} zNGKx$Jp)si9^St|4`^tOBc(-;u=h&7d?VwRWxTuLcFYtVkqkZIT6zg(WT0nY3e&Y$ z04+Q&L!@UIX>;4<o*|q95-8zXUXXraRG?>IV%N#*RxOwD&O>CpGg=`i+B1NJQH+R7 zg0$#S_PFIgRBI{Ymmik#%iNB`DM|_-136SE34xx0DNIKz1VwuW)-qaJbb{ThZJkw* zogHE7$oOS$$4t=?$)JR5877p`fu4aWOh+q(9?+nJwTzJ#J=#9_Yu#1bW&H9D8NbZ! zm?=6U8I*7>!-X;?&@(WF>1c(}16sJ2m!w6HvA=k$^Qu3-&FxN=@ypzf!zmzv60YS% zp}Z968JNO!^bDYA&%kkcSz7c<cEzLZS6!3w%PVF4GPh%<L<>bp;aWxr<>f%nz!auO zt&(2hxBdp>o5SNWR$BDS_K93?t*j{HmvhMYWp2kz(GkfxrGE+6GEyjG13d#%n2uJ6 zUIDalEw4z69&69uobj`3GJZLej9=z<98LiVlyEIWgz`$DXJ87`wO7!df$M0L^bD`q z+;+KV2&X71T+2B7Rr@u&^6L+~+2@z`TAqmYpH44DMSCcCBGUB<bPg(Jk?Ndsotrz} zo?uV38?3DCl}ak*O*}Q*UDq<FcWHv<?b=k#+x+cyw_>|o-qU+a8qBK2oLJ21#{6l_ z&DHt#uiKME3$B^`&!1!O=IxlnGbdvGXFS!Sb767Rx%R4MvM8BkKYH>$@5;XHp=-C= z8@|5Gl)p!WN6_(a^Mt3^Q-zZ^S4r>vgIUatccRRiBR#w&ndiIHrp$DhsPlwD!Ypj{ z3jOXxd$K*n=CfHB(^Us(hzI5^>%8(w_Upo7<r*RUy~aeXBOJr$3BPVn6AD|({B7^2 zyXz1zCAE3Nlk9O)N3110ceIY6LG^^^%LJiJvN=bX!gQTK4U*2|)|#FuSvM&VT_!RG z(N&UWoKmLR<E5s#b~%r^?zpB=%UsiM2xY3hHlnqct=&Xt^{2O7rZ8P8IBLFtgnXG| zzabRP3nr#UQ4%QAg)+sSn0JF)aK%#Rx$7N0rZ62*RXv(<nst-y=|bVWU}88$NuVeR zTHX}OWc&Dt=HBX$zH}@6b<AZ7({*OLpEEM|UrC@$v)>d7=PMJ#DM~`mfC3UIuS(X< z@LPcPZ=7}1GW<1Hd>z!+fdtAp$-3!*9+R_<y#qnB4%w#d8k7l=FK+}|0Ot$W7YJHM zARt$?j@}R@69QSs*JoWIs2*4&CZIvfbcxEiK)!G+I7S*196`{&H<|LLaQOOMM@)n@ z>InUeQZ%|V?YHc=?Ozuhb*9T&UkzlfFIZyruEMf<m#nm7ipbhv6J%{LUZrZugvuuC zu7~{sE$;|rroCi%7H{L-wZ53b^y#DfnChE)8PJr1BPg?k@{TQQCwbTJuJy$fre6s4 z_bH&M4yDW%$}IcP(9hkxvewu0vep+<n66qti_cr@9tm3J2xYcCBkwCtzq@OFF@@<G z7toY~BPeeRWsc2JWD3(qHhuD5T+}0_%#|9NXXo8;)0y{f7xSj9^%W#07_5L)sJT;> zS3tsgTUfyh1zP4x4ZR(paJ?{*S7XxEyOi>dQ04||nklRiYg{QwDY^#OyHd|{ZFytv zR+4w!^<}LuuHA5olENwTh4QW~t8{r^x(8RzTXwD{Q<#o*w?NT#x0Hmq%$IC=CqUsG zVdB57-lZPR7RvlU)-i=OLW7d9QWn?Idy;eW?IseJmt?K4yt398XIeN#NxJTq*3kl? zyl2;V?51<T?c$x3wZ53bbkvW=MJc*^*8<7h*#QdYD-*SrK?<k5EtCa;7QhtNh?TpP z1W%NNI+`b$yFl(Fe`h-9YdA$o8d>$|eftCZL;KF+ozBMc+nr3UT6+6t?r^u{`@vl@ ztA)3t!b9G&vSrN+Z!LCD=jmp~e^JRV)iM`0AM7k=aD<lk?S;Z&%Gmm4&HGIs@@{>) z$YmlZN>U0)pnPb5WG}M$n%@nr=FOWN?fugD-I`01{~j>EY%CHxqj5JgVO%A@>=>QZ zoNQLW;FwJLKsZd{>oXA)B`F0YP!@|v;?<;RvvF88vpjBoP4<XARRZ)VMYSxpKNb#C z<gRb@uNo$%rsYF>v1nnBnE3zI@}b0bae%@RWnyYtJ`#UEwmFLI1$&oTTt1R)Ss0*j z9WgOAElp$xuqFPp)I+QGxgBr!@bA;K16WdqVedH6{Rfzc@!4vkoSfIpSv;k^*_)$* zIVJ@){fXT~D6;#n`})Hfy&|Vu`V=L~epUA<uvW@Kp@8%^Wr@8sKw(SS=_+Yyd~xUY z@nHrOl=_ns98f@LR5@A8GW!#u$gadm@r$c^8>&Sc*2NT9E5%;i!hocdPwmg_<@SmR zq1E`3fx9dJmR-lafpgpV|NmNr(GJRr8T*_zUp(XF&DP(^E(LK}VSg$VK074}td;Vp zP(V`3XZA{a)&HyoI=(8j!TDYav@92oR{hUfpaCSMth86#p9i$W{5f`2dFLtbvyHzy zvZJ-vyyv4{!;`~&Z`32`IJF|eoR<PEtHh(vQ`Eu~jtew^q?9!h-4y{XDMgp-sKxe2 z{pcdf(DH@7MkxPl9W@pTNJ?2NlrR2gEnlzC?NdO5mUZ@8q5Q8}T%mxZltiJd`=7N` zO8hzm3TV)hWG4zm_O$n!KG@b99P>_6O3~#yDk2n+l;R2{$=)9M*y<jAM|xHB9SJdo z>0C#je%arrfCep|?FvP9qjy(**U`JsIKRV0rm&W`gaVRM)(ge6Kk2nGanG(%-qNfm z<Cwy9))H~#k#(Se1}$IO>xCk_(R(xFT6%Bv%iuDRDXgW|^rdkiDP^_&mA%2{w$m`* zE72_$_VXIdTI$Gd>~8r}4ZQcad=qF#XhX$b$!Lm7ftJsuHEyuEy)cm}tOe}{B&B?1 zZ?rereErFLHYBER(#x9?zsr%`*xh3XJ9+s_&JSpTj&0M+n~hSSWrKLM$>wV^ktwVN z8bDIYM!A!GV)OOU_v)R5dvdNL=$JmMu32>6@wIFck3O;anoML0Yk>xkl=8LxjlJ2H zeZi9s{P1|}gaM<xpSFLU)cICH@3&(Oyr)Nf?G}y8=Ut4i>b(_{;GjgTzrE(q5gpCE zjD5`vDTvFr_SZs@-J;#zTjx3@GWPSB$P`#B<(yDJQpz`ybzj<iea<@0M%Dry5&K5^ z1zI+XM_<}}O(rshwLpWCK-pq{XK%INmgmZ=y{dWZaxajP2+8+I)Yaj=t-Q_aGkfvb zen_$k$D4N(;!TlygG`QLlb!XK&N+3>tA78o#oi_yri6Bu_I_wo+nfGKk3=SdGDb#s zf&|LRljnRAv~07#7YbVrEL_{$u)nmId;hgKrhu^d$z%!$IsYhbpa+!i?d?KI$&x7` z{I+O-uLXqn#{Ny&Vegc<3_J6bS84A_=j-#!<N92A+8fm7fcxI1*OE9cZQ2YnZq}iG zTn?Ev&c=<8-;2vuQL@A4v-$c=M^q6L&=6I40~$QqA(UMKElk<C<0&tF<^9g!)45z& zgVMOtAOmYqGJclR&)uD(<OiF*;Onp3{kT`Iwr#TBDCxi(kYaMYVBif%6Q@n~wft!R zB#}w`QU~wpC+;)DW@U^0rfMf|(Rj<7vOIqx(~Ha*Wj<>x`z{ErMZ=2DnAnPbY~ayO zQSxIz3tyk<u!auMpanWW17)}Uv#7cHM|ZE(BU_!_ZJWDKjA`nv`YxOIS4@3}b$$B5 zaC5rd5MR&w#Gaudy+?$g2b3S}-9q7OGLb3J01~`{29T7p+x|t=uw~noeY|a5c7z6R zTOH5^LgaJL`FcQzh$t2VJ<zgCYI?iPHOe*3zfr@eY2+_z7&VRj1!cSatK<uxeYNXA z@13i2oUNTAl9&$b>s^NU`2y>6>5BO@Q1%FAyIrJ4Gw-odxxL+QoCz_7>5J@mp8{H& zpQ`zkzqNdC?+Iw(mdSKjqeX%SYqUtvpk=RU*<&v_8}Aj^H{F?^rD!5+VakkKFZfzO zY4b$`U(4T=J@&o;g)RFuDDHi?v!0jzR%{3q5H6ogrhrg5OLt$(etWM_ias&ayMOdE zPRX}_uF1NX64iL90SOdXL(kuoefEI>g)I|S&U62||7q`7;sOU05HfEY>|2A-c+ZQz zmIL-dd%w+RH>_2{n{{zOXy2x~hBd-^@yr(tXt3TDGwPm}pCxw>+1z$GcdM?O?Pe;~ z%lrNO>kirwa`$qTUIsaf+>O}RDGqgX*gj%!u|LUC-W&f=oOe2JtE6Lpl<;2LP}ht3 zG)*Gk8(tWG&_NlzBaJEBYKYULMS^oSTk@S`t9@7~++#A4DX>;bo3t-EASvaDeN^s9 zeEo`}3VPjkHu9z}%dn2`FsubSHqP1N7kIQqJlYnxt1*!&tOXjB1j<qSnB3R+`Zv1e z^7brg>OHd~o5QVvwLr)9Hc<uzlx^bC_knvO6PdzV)ElMzCeht$H|ZPg-E36N>)f(z z5=WP#&RSkh=;B8gQHGYC_HRPrzMhFpVJ)DbDCM|)LheYiGkx5GX1z?)Rl8i-)85(q z)e9zZVH1b%O|0ejr!F~76W;d=wCu8v3x)eMCNhP!fTAQ&PS_{qj>OmBSn~~c@3^jJ zY~&_~?@g=)I&Kzw)i0pz5RZNc+^3ny6xO2NfCS1ZiSACjbm>}N{%d8t8IRpc<mhtL zS&REoDL=Z1FepFSr-Z_HFD5dDwLBSD$59d}C*>~vgUzwv`y_h=Eg+%5lU9$^xfhp{ z_G#fT<>=?{xr5&xU^;ZZnaD);NGTve%kSdRPxdp3mA%(~tL}}yQ!R--Vo#Ye`@-=M zJc4JS{A~X&6z=Po$P|uC+<=oIkd$)TJ|iBn7agOgxsNt{-qiT4mz$DD@Z|mehePVo zk3!iUc=BKhKTEI{rQD1?>_0P{vCj&HEwkO8>+Zf)-L$Dw*kcOE1v)AnZWmI@If={9 z_TxKly7iB=^tL}U-Ql=!yqMCp+uMFz5FbSMkbO=le8*rSQ`n=tk1q&;q?EIAKiX}x z7kobo_Xs2uc(W$YlzSeXwa?oZ0+dfbzU4k&rA$(j!d<){x<2SNJy^u^2JCd<(dC1O zoy4#HbU;by*&(*YjH~`#?V@;e$i7fxxf{E(r}xOZXC3y4J>|I6I+EA-2%aG>7wn5d z;cGIHDbN5CJc0(0lyY7u7i{)|DNKhqpnwK%Kv9qWkREfF-M4p=+b*Junf}pYmwQa^ zN!g>MP<o@iCOrDp{zEAI6vjlRa817%VH+iZa?HLY&vkr1{HnllcVvam-u!+&9ez4v zEx4P_c_6D_K>1$ouzLc3@iCDptVQpxAc1mOJo?q1)+3`AKe(;jcN3D>BleWFTz<KP z?-4u$Wv_i%DEvgoM5eHoZ4C+<kd$)Cz9P?<9E+Qk7P&>Y_wkDUQP$xnMb-jOE~cyO z7iifd(cKq#f@dOASc^s$BvAeokM`Ohp3CkXoLbwgz51@h9<isaC2xa=eUIQ7DEsX{ zg~CsyOk@gcfd-J2a>ZUIPt6<){x-nR!K?+81Fh@$1zPq=bPw3<KNFb}u0=_pEESIq z+WZZIJ>utZ*3$E@y1qv^f^twO`)xj(DI71>q7<#8W%8BeVBk9m>tZ@<K}<kWEe9mJ z2LpdiaCDi%S~Rjs`9<zW7i{jaxhLmdN-5~2&~u~j)n4k5+ygEI?j%eMr+@?sdP<O# zvO>Pt90|OG=lAjaG+*yvtU<|DqOfV&aHNxF<4b-)9UYc$3P%Ee*`!2)HB*!X%5wQ) zb2LRQ{4}pxatjSQ7QeI2FQ6O|kK`{3`pb&7Fh#W}MM<Enk}o#L0$TXJGxwgX1v>W3 zzt5n6a#TDz7Wm7CwJ-%5K*CYIQHp$Nk-tjVl7I8xC#nUWHJtmjgXp3_%Wv|n<#6CH zo0KRT7o{i(lyyS+Ek!N-9L`$S7p~xdf&$7Z`PTAV;0d0!Fom^%q9jm~gmNnI&4wxb z?8{opjQKO9Bv5{rZ!M<+PtE*=g(<8B6eWS;3FY^|Hyft#lOk(5^!y^90um_a<Xg+{ zfoDwq!on2R0*aDA`4(^B1MlGZ9XLN7y?C;$pLJ&jmNN;>X2;fgrBYl(apOPNeJNVb z1-|^S7JkNiwqm_|ZMw{*8on0jftHK%2L4>&>5$*MGo^cv;szvm28xnE*({Wcfj9X~ z;b%NV7ZlLojgmk)FLAjTcsk^`Fa_}d2^7RbNuYc#-=Ho9zC!U=Abx%T;oafo%(B{f z{2pOx+iV5}lw;DrTnaqbasR>;?HQDUUO_1v<QvqLz*i{#3dHwp==ktVaZ~YNcHg>t zmMR7XS}uu4R|3yc>=9F-0VJhBhf+4lH>hQSuTcEuiSLup@!;NU=Gi&veCw5=x&{SW zu82p=0?#k(5mTT6B&9%yQr@zz+SmMX9({(UF?n~l_XeKnnq<xCW`2M4g4?Lm=A=q@ znwkm?@_1!FZ)l38?`P64>|i1$6%199k}$kkEVR6By=5g+K5SRrj9gU39|57na0*DE zz#1f_{AJIwuG{_BSh1b=^f%XjUg(dcT$#DISy$+5XU$hXC9P^W($pEyBoxu2Z%vdc zN9sDazkAV%DA3NS^hpiB$Gl<xWnZ_e7hI9Ft7-@H!fo3yktwiNO2(}(`Xr^ywcft# z(UES$O`AEjeJ$!8d!$+}tX>gvK4|N_d~8{0$^$F?Hht5cE0ncg7Iv$Te9^QY)X|@t zt3;;28YCPmH7V+Vq?EU;TlVch9ew=g&ZO%Rj#)P0L2u3aj7g{VHZ-pfE##>dcy{yh z>QKYiON5TK9^-4dYQJUOwz+okRZi=ODIAxk)`<{EO1ULpEx)z-`ux?Bzh<%)=!lrI zuV#^9Y5gAawtY(|d`%`Yg|$EfNJ_aO^?W)|(_Fj!Mg<g<+<D?1)HG^YYx<;pLn!=4 ziF1c3ux5&q&;qX8SLF>1U!Nn*Z&X+dG$6t#pqv(u&IH~CF_9^(MZHnVRmqmKftuz> z^Aj{{fi)tmHGM`rIvaQw#2zt)wWv2rxh?g4K2XzKyL^XbEwDx{C$#A0=gV2~=zQS) z3wy*A)}r1hWtQ|(Z~ME~X`jL^0Kc_;Ywr3->08hO(5_KObFEo-DcX)<$;5x7pgp6P zQp$Dd>*iWqyWte2BQB~3H4O@A&~j7qWv<2jOE^&}=vS14{sknZTouaAV7^da%XF<H z&`{HU<_Qg2u1UV!w7E~?d|`@e!4Z9&Pr6IFV@E_qMs;3ZVpV}R2ASLQrnu$Pm5rHy zJl4Fuzr5*^W1KT`Q%7^N>|rP3@|>C|O9$3>R_8qH+}=6Wxg!Nytf)J7WYj5ZjZ+~< zD|0E~sLMpAz*;HmgaVRMBBK71zJagLcM|R;SPOJ4j~nT%mjW%3Q4vu$Y`!KFnZjD2 z0VJi^;*k|qAnmWKUTjm}lsiz=V~^NV)>2?}S_6;Z8MH)2*-=*1gJ%wfj&A8}=Jxr^ zWg=5pOCh0vq!deP=!DH@vv>TR0u+?3tB3d+;8l*Qvwbbc#h(*_Z#GP13aps|9ZHFm z*q#hTmm|u(I%|OrL{_7FLbBy#;F}G5#1z&74N6Lmt`&9M=IF9V{AQH3AiD5Kqx**) zB@}*N$V8^F7EqJ~E%!-HM@4zvmappCZiG3OJ4c|VnHbR{sU}L935}e~Ym1t(S?@RF zq=1qp>OP_Ty0>D|2d74u9f?<xn8*}ZE9JIOKvK$L>%OQovebG+#KiM2nt^{7beO_) z*3vX>v`+yITGB=>w$ens`c!)NK$_=G=BCU1Co&~6g|*ZZ3P?(6Y%R9Z`dV}>GwTY_ zDK6db)blBzLCX@mu~2vvGAK%93TxRuu$BQyDQP6O@}8KY%Ms-a00pJrn4u0lL1f2G zNv@;Ib{e7ZdsHSe1=jZ{HH-N%QA%2=q02TaXA09<3p|0I+d@NJ{<PByh2J_dktwXD z-neK#CQ4Z%ls|2bE>oD!S`c060S#J~+DqhpD8IX8B2!q)_Di*lPr6IFKPp{R`Y7HZ zi1+ph-z_MmeSYqb${-x3@XkR@Ol_Z^j6%6TiuYV%3e!{D7b;^^CgCuJ_Z(tkYWqTE z7D~n_-gAj5Oiyhurp!@Ugu@ix^N5M5$0dDK=72|BFHBEOOGb%p`T&I^%EZ*PWDt+i zMR63_qwtzeDPJ;3RI&sp91A9<rX_1swy5k;6Q|kU^@ldQ3y0J-H@1!NYS(BNTJqy% z8E=!|J+ZM~Ovc#tsqP7qH7bX2m@>2K_ilU|&z*X$ZGebX<#lCw-G>7!%cC{s6iU{p z^rv&0aUBl2)7DosOkujNlMj;aWuW_T<ci8Ely=i>Q>@%(cfEMT#Bhp|REtt_3niD_ z0}{-8Cti=4yDI1BOkw)H{R3p}{_s6Pa!2J64pUaw9Bvjze4JGH;mR%(btez#(fuai z8RC*xD7mAuFFfE}srjX|vRO-yDNKj8l61{}-OVFkR9>Onm};A%<u*HahSc?#7*0`= z?!%#!{6fhWb!V#WJs_0ZVHBpLZa_g%iteD1Kk5PDFeUwz2fXo<jyWaDlnLn4d|?Va zLtL^6C4Us>D^r-RJ9&VndpxL??2@_pQAhVOor&QTC21WgC7a}Kfq)jy-4Cz-;f_ff z?2cO7F4a9j3W}BjQFXq0&f8OUi8E<dBZsvx1uM#@v?oXo$+<#Ne0|QekDoj1T$`TH z%Y33#@=hM8BU$}l+Ywg(M|2B_M}?yJnoMMh?(qOh_?{p+C3g!4+BD~Grf+(g_tvg( zU%uYj)r`aH|ImVZ!s`FfQb;^19L3jUj{+3Y01_zh1SF;8k(?_M#n<N+km19N&eNIt zIfJIQPjyd_!s1bpD842WnF0+d?Fo`sa<^!pO>^!Rd+@xw@XG%cch=!jRZ;)ny^%Bs z1?j$Y_Z_;sLAvA8-QC?GDT1`1fJ)p!Py|E~2}MLe6j2l`L_&SnIy3va=6D(2_xI0_ z=Q+;|aL;G2+%tFPob^o?*l;v=5WT^=#VBLt<AKxvF)mraqpXUqNj-|7gyVt~za~fq zsJe`bu1~9uRwLT+I8BhO;88|J*Q7*BarKgzCP+r8|7;N*Kr3*6tNrm6N?kuRI6ltP zR6r8Wh4*WMWJgQX{mg}f8IorSbli0?mab1J(KJC`g!<1B(E+pq2PD}T8(%mOjJcUQ zswPM_@F<6(Yf_IW1wBEJaO%Ea6C@MVf6j;wpcOc!VBtXgUzvj+Z#@`~U5J&3)Bmvp zu=<^vM-K2Pr=n|8k0=FgKoU}LUO$o?B{S52u80nx75JdUJF%-$U#@T^WuK^;AUVOK zT#BwqJ)#t}0X;&S&<3grk_GBNcSHx!3LJUom3VO=5GZ~!byQ7|T;Ne|Mc1SrQHqNT z<_hCNH9@jM)n$+909tjl8Zpa{(*(&49%WZ_P3jS)xOz!U69nu~c_KQ1R^S_N7LM;R zG|Ry^bB>Ox36d8q$)j$>yc|F5M&rPPN_S)F`jiq)6C@kde@sLN&<gB);ZcRN1)BxW z#3YTX36cjqicxe;>Jg>jTzZTRPTj`|_f!)k2h@MQhz_6?*t+_<*pab~gEPzg9*>#E z%ERgZm}#s$r{)m@9_3SXP3jS)pbbbuieD2XC)9ubhz_6?Sh8Bl*aKTCl|T8-s36*b z6r`aYXpd9#$Oj(fS9DG45v8CFNJ5HV6C@YZe}RY&pcTj-{CQ|nvu1(p$&v=q4va2F z8SS8&Ao;<g0*bClJ)#sB7o_+#L2^UY<&Ee7T6MG<(T>Myf)oIc@+!I}^@vhjy(Fdy zk{9Z~U_=Md3XK0e>7hZpCzZc^W?WQFkV0TdLDe@&`$NO~w+-~|@=q*XpHfg)!KpK# zo&wbb$piIYIHCh+1+E{pto%aTD!6W!^>Tv|b{Y><6Qm$`R9Mk9sYjGTH6Hw$ATdz? zMIt(YR^aS<?JF$o*EYDi+duJWhf~n-Yl0L8kBTU|CiRF?&=%*BUlSxB)PK>44xkkn zxRbQP<((4`{(5Fy5bbajza~f#@TjPwYf_IW1#NL2`87fEL;V+v=m1)Q3&t!v_$WoI zK$}fAh<0G*A<eG|QWQKYrs$f~BTAuh@oRz<fT}AL(E+sTXf>i8uIl`nAjQC=LW-_Q zJ)#t}#d+k{1StgdUp%4%Xa$Zu+G5}8a#dryR2mgk6Ql%KQd~9K`s%)QtKi<R9vfom z`jiq)6Qm&2f60grpcPp3;_l+(x|IzU8c`^!CP;DcsHCE6QjaJlnkGnLsQ*$C9Y8B^ z*AIvG{kC>sa7oh*@zFFvN`gnF6kU^gL@CiUL5e{AmyYNFT7f0j9ol>NVU_p^RYyhD z1Stg`l~#03>Jg<x(*!9B^<O5U184>A2(;aovQODSsey%}YJ!vokIE>zCiRF?qG^H@ zgQ_bL(E+sTXf;OD1Sta^l~8m|>Jg<x(*!B2%Bk||0?bC+0JG7mli6rl!n4sb!)&zK zPneBX0VrkF4w#L0#5WraDU|N!ktH@8Efy#h6wZ`-=$nm(6iSaa8!Z5oSal6%qosq{ zX#L1+G^9|vvn8?FXcd7HP>W$U+5q2dG^9{^wApCofl^W7948k={LTg^&mo1<qs>OE z1R1KV(uQZFbq~)*`<ED+7<Hw3u0l9l3MWJ1fm6HObSV7Yz7k}pd<2E&h1%#QR5^+x zA*BLPDn(?PQmBnMDa(=EEHXDqtP140lG+Y4zzV@^v}!OLjb_(RaU?&bDp0B@oEVlh z?!unWcHS;aDU^=0$lMGtjEN(mM^&L(Dnw9djZmVSXoe&gS?5szC{-h>j#8+Nc(x<q z)GkLtTdG0LRaFfjE)!ukT3VQmMk~!vaU?fI3`t0-4wP!Dba*z}8JLYmDU^=+adB}J zH%Y8IRBj-GLhF?hU6zsLr<4au^@t9j6l$ZJXofWO#F5aW%22u0z0bXI3LsWGtye$A zkz8b*M>SMUbxU0B@N#^`WJQAZRBrEz!I<aj25-(w?>(n;X1zJUWLBq}?OIFKR&~_i zam9ki-_9Al#8<@U=$J0p@G1`;9g!ut`2!YIAEgdnKA1h~T;jT_9@v7rLFmu_+g#%M zU`aids;3Q>pO&V=eRwBG*Qe8JaXzM-2kho_I*%HthQP_!G*7V7!<2!wgLvTB``v?& z4y}#fJbF<qCAyiRiOnUhqw1>$ivBdUi_)DPNOSW`-Sp9VsxEM-<t{?_jRGaoxuNI@ zoyuBQH3AAf6X(313(qB{lxTB_>!})$BWjDkc4)mgd(aklVC~ihN<Bqugi<Ko&2>c* z#)VSqK-JZYh%O~kO0>De4OK13G|eupW12gfY5!c}#z1MP%H?Pl+}vbVESLA<DTUG< z1s^fPj)ZY(pc(^()&(U-qc{>$ngFGNYQaq~=gd*D*)BH>QVOMGRGmH80Z4IGS6?*& z3atxD^iv!ODUO7;GzCh1we78n!HM^i1#50P5Kk$T?xqQQHRGF0+(<PA3awX4^iv!O ztDkm2O{ltNUI)1SjaJ>*y0zlJd3I`i9?-zU4)E+Cd!3t{TLY@DiK1uHs-xZ^!PPI; zt?TPh2h@Tr(KBhi(0oOkOWYVNsU1;ubbU(4EIWHJ!*0I|)k`yo3_X*^f_my=f{#eR zn4o7NN>hj~rO+HvBA)%Yxx~#?3)NEX0$r#I3vva@`E<nAg6h<T<WJTSYpz-W$4>!8 zrvT_e1#k~^`a@3r3+MKuvWQc4LXTPlrFnSA9PgclXF3X{JDne-IRes<@{(!|6sOAb z_tAfK#E|BvIFhr)QQ83IB~=M@p)P@r*b$;5h7?M7IzLGIFQqMT{FJaq-m5*nq9D<! ze^H9lg=(kTsy1F+oaz^z;V6{ubbgTLk4t;i4k*JQqkTX}tcg!Y%ujJ7zegQ_(q7Gn zddUGgVy%2SVwCQ5ey9SNi*5(i5jcJd=*|T}cg~B8^E8@{SSO%#aP<<7rl&jSQ7GN% z{GgVYKQ5hBC!jc0o<T%M45RF)IFdguU4YVA4TgF-1v+9Uh>jRiDBZ8~gZ8+%bWvS_ z<EMn<;?)U$r;o&FI$|w=(uLNGcc!CII(FgXbi`UhM|V+l2f%e*ANwgtN=!$rIqWXo zB6bE!Yydi9=|M*<_6a&--JzqqsU)Ba6>}Zt(SeTGF0x}$3To;&MKV+s!N}rcXlH1y zx<~8`ltSrlS3nvPD5VGN3*FViu#VWq)Boy-;a)>2sLq2VrxrvhZGh4vVrQUx3Z=XK z1!;a;dO}C{Q0GAx>Nx0#fi6^#_A#ZPIuDYN;*U#vp!AH`87PI)-L8N%zb(CBU+Ag6 z1|6|cpd;1<bj0XxKq;uqgCwN*ZRr4%UJ*M3rBJ%tUy$avr8jhRFI52QW$4!hf-OKt zjP^05MAH%L43ypxI|HRqy4w{J(-Dh<eWAD764ntLy7ONhG2CnX6eK04Bi02daS=NM z-BT#tzrWC`>jNDfr>;Z2><1mO;-Di&`<PNtna7d*Icf=%J`p<urBJ%t6_Do7Q8(Bb z`Y77FbZ78WkmS^Ys7KvlU+5dLGf?96gSYoK1s$=GPtXzT2OZs4o&7jiyb0)tl>i+v z+Q)th_A}b!*Bt5rlztIA1Eo+pb|F&S&VUg{8tzj4p`-h$`C%QgW}qWR`<POq>4^0N zO8<zRfl??PyAbV3Oh;@0baa2UX<E$Q&p=1)chC`|eM~9Qbi{fAWkAHvKq-`ty^QuG zrXw~GI(mTG)H`Nxwv%b&=YftG?PEU$Nr~x*^#;noh@ByVLg-HY3rUzCnxjF`(F4`Q zUmEPa3p!$NfsPpMV`^hG9kDo|42swpD239a>4*)6jvl0Lf{s{W&=KRHBS!m}QljaI z^}*dGVrQTfO2;n5T`Dmhu_4gWgH`q;b@$u=9kC3cBS!n!PeD>*I%3^`G9+SWpcG1X zyMo&pXpZ{A&M-vL-laQ(pW;aVo*t@(so`qd)|en1fo)s2#{Q_!#D|VX0eHl}!_g?v ztbp~7VMme&_FRk$FnCXckJ!`0)Ci!^Geb0_dc+6{67WC*r3?qkNTekEG^K=}qmA*$ z_M{ECBYWJ?0AD^X;5~vZBh)CM&@;otc<>_ZrRQk`1qqZg5-6h`#aok7!k%JWg3gYT zd3DGJV#_Es1}OAQunTQ~V=LI>MLL0k1U&q<j0Vb37hUhCDJA?IZH#q<#B3P@nI7sg zP1grI8o}BBRsf~^*OsB79HI5p7H@r^APJwxI|{}JbK?%Im!VKCUXFs{p9a!@vYtS3 z5q1QZ>0uC;5iTy&3!rX|58Hyz6XJp-=aKgawv2&HkMPF@?LlJLzEB;bN6r>MWvm*f z#ybjH9wvB{|8*aYQxkv^t_$Z8&_e6e7-2U)u8+n8WumJ(u*1u40wo+5v@xOsyr`1e zouDQGg+?*FK8?$NC@wB8M-zcE*-^Zorj)R!Xk*kqnxv)xg`OFT$^Wg7CIe-xi>|jO zrG%fOjS2OVSRYM+OpkS$4q_C;USM3{?EhUKO$LUSBRreh;;j!9B;oU@eKZ!T#miAJ z{L?`CzxUBNh|2^Q7wQF2|Mz_~1u{Ls9~ZO-iDCPm+(%Q@G&SAX0%s?@206PRCSF`( zvHIO>lK=H+s+s|ua9%tLoP{=^NAPzqMjp}i5Rx1PUz2c`nhBJt&LddYiv^_s!OLC3 zuHg1M>;l&TGu15MgxB{dVY_hsFfC-4+gm8b?NYOWG7~)tTi+;{2*sn*UCQ6nv(+5n zP)aD8-umcG_-GXL@7}JjF)q`AG8;XD^+LJuQ4(x)l*IaII%H^01SM=2*buQ}C3FC# zxVX%OYVmBrNP7NLyQrraRc8;z#T}tcPX!K~nLr800z65u1?jOaN6r>XnF0Pxa}*$L zjZGvjo_ExigvjDM5Qy#!$dDHow8f*)yig*w#ZQ^5=BfD+9gs+LJ&&UG(Ok6vIKEg= zyD-z9N74FdAyDSJxZs-j+Ds`xcyb>tREvNUKGUOw?ZWlLv{1ZUT=3C#fUB3qKv@{k z0f|sNI%e3B9L0Nt94%H$fD^LXvmDolv%K}uoA436kLCkqF?xh&;+l!oODuZl>ef{q zdgE-F4;fk#K?&Q1aS4+{b|pq}aajn};@J`m+v46od3I4xF(!_LHn;<8cOm3?equR7 zFPtqN(M8sIL@5ivpLvb~_9Pk?&pT?1zXKLPhP=1{AygMMFX5;oJ>gvt+Ty1yRm;@! zh)nw^NDm+-S|2S{D}Y0zNY|&tXnnL2C`%(U?V~`HL)GY_i;rHNka}6EUItG1Otd_F zR;Z6DF)@m(msLPni5@{7LcJS$jG%aQjH)B~ZCRyO1BX&zeT*m^k#@O?qaHb1mIGy# zs~24JvHOdo;G^G`<&dG(5tOi9SZQIKLUtuaaki|4YVm9VI}&;t&-U!1o}wp?<f`AZ z3HoRy<av2wIf7gz*y0ggWSvKjgx$CT{8{EGU_+vD@w}t9_&Z<)WXOvPtmpY3&Uiwm zfgFkpwZ%_aqt>c*&KA#dQZMekjOU$uPlui0-jTV_8P=-xK%r-b)=sc1Y+IvXwBL`` z0p%51bzu)elrRx(On9|N&;0eWUTpwMBI{#B;cTRZD!|1BA6;Brre6WdtB&HWNvba5 z_eMu?nMRVMY)~74LeC7X9m-2MUKm}k6J6E$ZFv<aYg}}_pQe=XbF?whcVy0%jgaXz zF4GW$h&~R-B-9Pg4t)HtEo(wK0y{$c3tb<che`kbuI6%tb~szsK(%-|0;~Vifk=p; zxClFfqpXFvtaow2?1s+@MK?@=fBQEsG}E4E(2W}*)9d|l0os51$cwJC#l<B=v5a>c zI1In1eC(gY@INppiNU-jrkP=uC1Fpoq%0Xr&Qh?HEERj2J;R=5&#}}j4NJ??vFF(f zEIrG>USt_rCYG6HVOd!=mYwBbIaw~2o8@77Sq#g^^0NZ0AS=WQvm&f0E5?em609UE z#Y(d>tSl?X%CibAmIYWvR*6++RajM4ja6qgSWQ-o)n;{AT~?3PXAM|G)`&G`O;}Ub zj5TL1SWDK5wPr7|Hmogc$J(<FtRw5hI<qdUE9=I(vmUG`>&1GrIM#>tW&K!xHh>Le zgV<m;gbiiG*l;$2jbx+PXf}q8W#ia*Hi1oKlh|Z7g-vDC*mO37&1AFKY&M6@W%Jm4 zwty{Ui`Zhege_&u*mAaltz<8=Rctj|!`8BOY(0C0ZD6mmjcgNpjcsOI7~KBPwzC~< zCwrakV!PQJ>`k_Z?PdGeTkLK24%^QTu!HOni)ZldH6QrI935uwvLoy$dyl=(j<FBe zadv{8WFN9q>?8IuJIy{}XV|CgEIY@}vkUAq_Bp%AzF?Qwm+Uh8id|t>*){exyUxC0 z-?AI*J9d+O&wgOH*pKWdcAMQ{KeJ!huk1JWJG;yNVE5Rc>^^(I9<oR5FZMV42W;eA zaF~w7HM~+-o`gTelk#LdIZwe;@>Kk3{tSPXKgUz^G(0U&$Dijf@bo+bf01Y8nRsTN zg=gj2cy^wH=j6F~Zk~td<uN=T&(90+g1itf%!}}%ycjReOYoAs6fe!o@UpxdFV8FR zSRUXNc_m(%SK(E8HC~<9;5B(IUYpn9b$LBrpEuwQc_ZGKH{nfrGv1uH;4OJ8-kQI} z+wiu$9dFM&@Q%C_@65aKuDl!X&U^5lych4y<9Hw5m-plS`2aqU58{LQ5I&R-<HPv~ zK9Y~(qxl#<mXCw!UESiI)JNm_1U`{Z;*<FlK9x`7)A<ZOlh5L_`5Zo%&*Ss?0=|$h z;*0qbzLYQH%lQhvlE2JX@zs0{U(46=_52mSfxpT(@=g3TzL{^~TlqG=o$uf~`RjZa z-_76PZ}L5SFW<-C;&1bJ_<nwXALNI4JP-22{9S&8ALZ}y_xUmY0YA=9@RR&Qeu{s@ zKjx?TC;SZml%M72_<4STf5t!O7x@?b691B4=3ntE{3^f3zvkEZH~d?EgMY_w^6&W% z{1*R_|HN<eJN#$<3;&h>#((E``5*iq|C8V65BNj=i2ud^=KsJZ!i5kp%}Z!ugcV7| zQzEHICX$O3BBe+ro)*uDXT@_OwMZk<ige<6@q$P%GKd#NMv+Nm7Fk4AkxgV5IYds8 zOXL=LL|zdi@`?PSfG8*miNd0YC@PAH;-Z8oDN2dbqKqgj%8Bx#f`}CX0e$qu990yR zL}gJ$R29`kbx}jq6tzI$wvMPP>WTWIfoLciiN>OdXeyeC=AwmYDO!ov;w8~Wv=!|{ zd(lC36rDt8(M5C>-9&fML-Z8AL~ju%`iQ=wpXe_Jh=F2|7%YZ}p<<XAE=GuvVw4yy z#)z?EoER@Ah>2p7m@KA<sbZR#E@p_CVwRXK=7_mso|rEdh=pR2SS*%^rDB;ksBk3= z8eAn-!<fLeVx3qoUJ)C_t74<rBwiDn#TFQ3wM}dnJH$@$y4WRli#NoZVvpD>_KCN| z+u|LuUmOqz#UT+dg5t1vR~!*X#e3p?aZG$5j*AoGr1(&r5+8|=#cA=0I3qq4XT>>j zUR)5LiO<DF@rAe~z7&_mSK^AeDz1sI#dYzG_*UEy--(;zd+~#~C4Lk?iQD3i_*wiS zeigro-^E?=hqx#H6!*mg@lZSxe~G`vKbWIIgS&Pe_}G^tcokuiOChCHQcEMPOd_9> zNo6vbT&9pIWh(i!d`3PipOdL&8ktt6lh4Z+WO|uFz9=)wOfs{~BD2bDGP`6v?ul#V zkU3>8nOo+Od1Z{uC-ch!vY;#^3(F$1s4OOn%M!ArEG0|JGP0~JC(FwUGFAp;MOjH! zmQ`d`Sxr`#HDIki9eehDyjP5ERyAcUSzFeTb!9zSUp9~pWh2>GHjzzbGud3WkS%2^ z*;>9N+sL-Eoop{V$d0m;>@2&;uCkl#E_=wHvX|^F<76M%SN4<r<p4QQ4w8fA5IIy1 zlf&f*IZ}?2qvaSmR*sY7<peoVPLh-56ggE+lhfr4IaAJ(v*jE)SI(33<pQ}-E|QDo z61h|^lgmNud?m=quL9}xHF7OT+^+{Y_YE>6U;Y{hes2MB>uoSj3k8&42XS3b0@)KE z-Uq{(QQ&qz3>Zg2*LWC(eHcbiAAv#1@4<lLW1dvz36SCX5M-WEl<_o3ES&+l4;1Y? z57I0s7>0sumq1?PGDs<00dbRSFe3jtjD!Cc<V8?U>3bN^dJ6`l{saTEQHbRikk|MP zq$KXbfUkQnz8DAoK7`?uI3_nVKvH<)?=%cGvoO}_DH!aO48~QZfH6_2V1UpwFc#@K z7(0>%hUTR6hTf!y0T(aAE&iEca6uNhNk1Fhrkn$AzRm?V8s~vqEo0yY()@6<WI?!H ztT5aJR}^meDh{`Nm4sXKO2chvW#Q(c@^I@)EZnA15pJic3^&76g&RMr!v(H2;S%lI zaH)4)xM;jST-w|aE{MkqXz{Yu=H6wet-OmY+rZ_G?clPX4sbbNC%DX|3tYa|4KAhV z0hbN*g0INq;OpSNa7jde`1*e!eAPV|zSbS;eJwizz9bt3Um%WwFAK)ONBtAv!~RL| zMaUHRSb7?KU^xRm5}pMgf6jrAUFN|DFALzKtwr!L&Jy_baT)vqxdMJge;IxqT@7!@ z*TP%j_3&nR1N@?}QEgJMsm*GO+N!px?P`bGsa{vR)Nb{LdQ<IDd(}SmmU>&gqxP!< z>YzHL;#E)`R`04K>Zp28y|0d`57cpWLY-6}s#EGC^|3mwK2c}Xr|PUar_QSj>NEAZ zx~RTTm(-W)vieG0QCHP9^|iXLzER(*8|piCQ+=;~P`A{N>L+zu-BCZQU(~PaH}$)^ ztNu{;)Sv3UdY~SvN9r&2xB5ph&9%@{E3LKBRwvO<>7+WDPOekvlsc7uT0f(o)z9hF zI*m@N)9L5+3p%~dpkLG(btauzXVF=8Hl1DP&^dK3om=P8d3B7=r}OIqx}Ywk3+p1f zs4k|9>k_)8E~QKBGP<lTr_1XKI#vgCMO{f()>U*>T}@ZlHFQl~OV`$QbX{Ff*Vhen zL)}O>)=hL%-Ap&vEp$uWO1IW8={CBpZl~Mp4!Wc6q&w>_x~uM{yXzjhr|zYD>p0y< z_tpJ$e?34C)PwY3Jwy-H!}M@HLXXs=^k_XskJaP!cs)T+)RXjNJw;E|)AV#bL(kN+ z^lUvx&(-tve7!&~)Qj|Dy+kk7%k*-+La)>>>s5NSUZdCQb$Y#iMQ_lr>WzAneob%I zTl7}FO>fsb^iKV{-lcczH}so&kKU{I>9_RT`W?MrAJ7N&Asw%S`mlaiAJIqkd-{ES zOn;z{>l6B<{!pLNAL)<vY5j>lqd(PW^*McBU(lcF&-F$9g}$V})R*;F`ij1)uj#M# zb^VS0R^QOy>6`j{{e!-xf7Cze+xm|FS^uJc)xYWA^<DjkzNi1x_w@t)P(RXt>A&?q zni+0{kwzJ9jIkz(dCDX;$xL#S!lX2*%+ux>^Q?K!q&8_xT9eK^Z(cCzO$PI#$!Ic} z%qEM;YO<N^CWpysa+%yFkI8FdOg@v}6fgx%Aye2CF-1)=Q{0p=B~2+)+LSS6O*vEE zR4}n7U@DqQrn0GGs+wx1x~XAmnp&o|sblJzdZxZ<U>cf6rm<;anwn;&xoKfqnpUQ@ zdC9afZB0AV-gGb>O()aYbTM5`H`CqpFg;B#)7!+EKBlkfXZo7~W}q2l2Ad&fs2OI4 zn-OND8D&PBF=nh8XU3ZeW}=y7CYvc{s+ne{n;B-NnPq01IcBbzXXcv)W}#VR7Mmqz zsaa;0n-ylIdD*NotIZm-)~qw@%`0YudDUz*o6Kuwv)N*{nr&vg*<p5?*Uc`o+q_}k zG<(cmv(LO`-Zt-;{pNr<Xbzcp6Eug-yXJ^FYTh&Nn`7n!bKIOTC(VcEl=;YfY)+d` z%o+2kIcv_D^X7v2%zSPxnlH>H^QF0LzA{(LRddaJZLXVd%(v!-`Oe%l-<u!IE%T%K z$=o(~%+KZ*^Q-yI{BG`=Kg>Pzr@3z)n1|+(`OExm{xQsQE3CB2YHO^uN$gWLsZC~+ z+Y~mXO=X|9&)8?}b2hb2W7FDn_Idk)O>Z;U7i~tH$!4}$Y*w4iX16(PPMgc-ws~w` z8)Ng?{I-BCXbaiGwumiii`n9~ge_@H+0wR*Eo;l!^0tDFwE<hvR<f0C6<gI-v(;@4 zThrFEwQU_+*VeQ3Z3ElTHnNRv6Wi1_v(0S_+tRkOt?f&;jcse&+4i=B?PxpM&bEu~ zYP;F)wukL$d)eML&i1i=Z9m)J4zL65AUoI&u|w@JJKT=2Bkd?V+K#bf?KnH$POua0 zBs<wou~Y3dJKfH(Gwm!p+s?6b?L0f*F0c#jBD>fwu}keTyWFm@EA7j6m0fMu*tK?@ zU2k8p8|<rgqupd*vzzS}yVY*9+wBg!)4pzZ+1>UH`=;Gv_u75-E&H~8$L_ZW>_L0T z#@nDhY~Qs<>{0ukecv9lAK2seggt3Lw5RMx_G5e6eqztqPwiQI&Yrgy>}U3Kd(nPj zFWE2cW&4%AVz1h3_G^3Heq+D2H|%%zrv2XjU~kzU?N9c$y#t?ZuzDQ_cOBTXV_e}P ziNE#w=v3WUci^1`@I2wbzek=mKCpY&u2^@3{{MI-eB=e&^y=ERf02T{`gcz_=g+I# z<%xIh1@Ry7xq-)v*S5<ogYE_M!t>d;;`=X$=jY)6@ZW#Fy<K+C_#pUe`2XC`;^W$; k!T$Jj9R9C5JRjCAzCS$m{xm99k+J{Z>wCe1KzJ7Y4`ZFsLI3~& literal 0 HcmV?d00001 diff --git a/examples/DDCAD/models/PLY/Wuson.ply b/examples/DDCAD/models/PLY/Wuson.ply new file mode 100644 index 000000000..b79f0991e --- /dev/null +++ b/examples/DDCAD/models/PLY/Wuson.ply @@ -0,0 +1,14931 @@ +ply +format ascii 1.0 +Created by Blender3D 247 - www.blender.org, source file: +element vertex 11184 +property float x +property float y +property float z +property float nx +property float ny +property float nz +property float s +property float t +element face 3732 +property list uchar uint vertex_indices +end_header +0.163313 0.540615 -0.268688 0.241919 -0.961129 0.133063 0.681180 0.275678 +0.000000 0.498178 -0.278300 0.241919 -0.961129 0.133063 0.624434 0.446202 +0.144773 0.521976 -0.369613 0.241919 -0.961129 0.133063 0.682836 0.299229 +0.144773 0.521976 -0.369613 0.408356 -0.800423 0.438826 0.682836 0.299229 +0.000000 0.498178 -0.278300 0.408356 -0.800423 0.438826 0.624434 0.446202 +0.000000 0.450505 -0.365256 0.408356 -0.800423 0.438826 0.652365 0.460660 +0.108530 1.455653 -0.355331 0.301699 0.943538 0.136795 0.521677 0.117558 +0.114572 1.478219 -0.524305 0.301699 0.943538 0.136795 0.528245 0.102671 +0.000000 1.491224 -0.361320 0.301699 0.943538 0.136795 0.403704 0.094092 +0.000000 1.515251 -0.533029 0.295706 0.946062 0.132381 0.403704 0.078241 +0.000000 1.491224 -0.361320 0.295706 0.946062 0.132381 0.403704 0.094092 +0.114572 1.478219 -0.524305 0.295706 0.946062 0.132381 0.528245 0.102671 +0.432499 0.893081 -0.117936 0.991391 -0.129354 -0.020261 0.550564 0.423448 +0.437223 0.907435 0.021572 0.991391 -0.129354 -0.020261 0.560237 0.418706 +0.408121 0.708110 -0.129847 0.991391 -0.129354 -0.020261 0.427550 0.444901 +0.401509 0.719666 0.019700 0.980639 -0.187096 0.057815 0.434871 0.452396 +0.408121 0.708110 -0.129847 0.980639 -0.187096 0.057815 0.427550 0.444901 +0.437223 0.907435 0.021572 0.980639 -0.187096 0.057815 0.560237 0.418706 +0.055367 1.060557 0.903845 -0.463585 -0.331217 0.821818 0.441470 0.455993 +0.000000 1.071758 0.877127 -0.463585 -0.331217 0.821818 0.467464 0.401211 +0.020074 0.859710 0.802989 -0.463585 -0.331217 0.821818 0.573910 0.494564 +0.000000 0.871132 0.792848 -0.565759 -0.319352 0.760218 0.579234 0.472101 +0.020074 0.859710 0.802989 -0.565759 -0.319352 0.760218 0.573910 0.494564 +0.000000 1.071758 0.877127 -0.565759 -0.319352 0.760218 0.467464 0.401211 +0.020074 0.859710 0.802989 -0.605195 -0.572491 0.553166 0.618105 0.331568 +0.000000 0.871132 0.792848 -0.605195 -0.572491 0.553166 0.600604 0.316513 +0.008274 0.762612 0.689589 -0.605195 -0.572491 0.553166 0.666980 0.288220 +0.000000 0.766550 0.690640 -0.235047 -0.679361 0.695141 0.660205 0.281759 +0.008274 0.762612 0.689589 -0.235047 -0.679361 0.695141 0.666980 0.288220 +0.000000 0.871132 0.792848 -0.235047 -0.679361 0.695141 0.600604 0.316513 +0.000000 0.477658 -0.820987 0.302135 -0.803480 -0.512966 0.542166 0.382209 +0.080293 0.503604 -0.814335 0.302135 -0.803480 -0.512966 0.567088 0.296830 +0.000000 0.427930 -0.743096 0.302135 -0.803480 -0.512966 0.571300 0.397290 +0.075642 0.462425 -0.735415 0.413405 -0.817028 -0.401947 0.588890 0.313809 +0.000000 0.427930 -0.743096 0.413405 -0.817028 -0.401947 0.571300 0.397290 +0.080293 0.503604 -0.814335 0.413405 -0.817028 -0.401947 0.567088 0.296830 +0.113353 1.389298 -0.829547 0.195726 0.751863 -0.629597 0.336413 0.336267 +0.077967 1.301869 -0.944955 0.195726 0.751863 -0.629597 0.373150 0.395061 +0.000000 1.401005 -0.850805 0.195726 0.751863 -0.629597 0.459805 0.332206 +0.000000 1.314178 -0.946150 0.126033 0.733466 -0.667939 0.458104 0.389461 +0.000000 1.401005 -0.850805 0.126033 0.733466 -0.667939 0.459805 0.332206 +0.077967 1.301869 -0.944955 0.126033 0.733466 -0.667939 0.373150 0.395061 +0.250557 1.103714 -0.893329 0.737084 0.359255 -0.572401 0.392336 0.460696 +0.163891 1.230911 -0.925097 0.737084 0.359255 -0.572401 0.291063 0.385463 +0.315181 1.175598 -0.764996 0.737084 0.359255 -0.572401 0.360144 0.539101 +0.198746 1.318974 -0.792401 0.713704 0.482552 -0.507710 0.241857 0.434345 +0.315181 1.175598 -0.764996 0.713704 0.482552 -0.507710 0.360144 0.539101 +0.163891 1.230911 -0.925097 0.713704 0.482552 -0.507710 0.291063 0.385463 +0.000000 0.539160 0.217662 0.144484 -0.981775 0.123457 0.600424 0.433774 +0.000000 0.511473 -0.002516 0.144484 -0.981775 0.123457 0.616645 0.442170 +0.157486 0.562074 0.215574 0.144484 -0.981775 0.123457 0.665696 0.274796 +0.181052 0.522829 0.003963 0.054782 -0.980646 0.187970 0.700465 0.263949 +0.157486 0.562074 0.215574 0.054782 -0.980646 0.187970 0.665696 0.274796 +0.000000 0.511473 -0.002516 0.054782 -0.980646 0.187970 0.616645 0.442170 +0.409405 0.931537 0.188720 0.912370 -0.130341 0.388063 0.574879 0.449573 +0.360061 0.937631 0.306779 0.912370 -0.130341 0.388063 0.576688 0.503332 +0.372288 0.760127 0.218413 0.912370 -0.130341 0.388063 0.460234 0.485232 +0.337829 0.803507 0.315369 0.915270 -0.127233 0.382221 0.487286 0.523836 +0.372288 0.760127 0.218413 0.915270 -0.127233 0.382221 0.460234 0.485232 +0.360061 0.937631 0.306779 0.915270 -0.127233 0.382221 0.576688 0.503332 +0.000000 1.337871 0.376398 0.304797 0.944991 0.118702 0.458568 0.373837 +0.108528 1.304915 0.360089 0.304797 0.944991 0.118702 0.340003 0.392067 +0.000000 1.369700 0.123007 0.304797 0.944991 0.118702 0.459192 0.352849 +0.121794 1.337687 0.126862 0.246986 0.957557 0.148600 0.326232 0.370028 +0.000000 1.369700 0.123007 0.246986 0.957557 0.148600 0.459192 0.352849 +0.108528 1.304915 0.360089 0.246986 0.957557 0.148600 0.340003 0.392067 +0.000000 0.406746 -0.682871 0.350396 -0.936519 0.012428 0.583712 0.403715 +0.072233 0.433957 -0.668912 0.350396 -0.936519 0.012428 0.603865 0.325733 +0.000000 0.408895 -0.520935 0.350396 -0.936519 0.012428 0.582453 0.403063 +0.090467 0.448806 -0.527020 0.405695 -0.912977 0.043409 0.604277 0.303627 +0.000000 0.408895 -0.520935 0.405695 -0.912977 0.043409 0.582453 0.403063 +0.072233 0.433957 -0.668912 0.405695 -0.912977 0.043409 0.603865 0.325733 +0.000000 1.481308 -0.694820 0.259520 0.945161 -0.198291 0.403704 0.100633 +0.000000 1.515251 -0.533029 0.259520 0.945161 -0.198291 0.403704 0.078241 +0.117833 1.452666 -0.677125 0.259520 0.945161 -0.198291 0.531790 0.119529 +0.114572 1.478219 -0.524305 0.314398 0.937361 -0.150027 0.528245 0.102671 +0.117833 1.452666 -0.677125 0.314398 0.937361 -0.150027 0.531790 0.119529 +0.000000 1.515251 -0.533029 0.314398 0.937361 -0.150027 0.403704 0.078241 +0.215624 1.379687 -0.638821 0.799302 0.598608 -0.052772 0.206357 0.460432 +0.219620 1.385795 -0.509012 0.799302 0.598608 -0.052772 0.203292 0.465503 +0.352477 1.199774 -0.606807 0.799302 0.598608 -0.052772 0.352748 0.582034 +0.335016 1.219440 -0.477144 0.819331 0.572841 0.023452 0.336195 0.566079 +0.352477 1.199774 -0.606807 0.819331 0.572841 0.023452 0.352748 0.582034 +0.219620 1.385795 -0.509012 0.819331 0.572841 0.023452 0.203292 0.465503 +0.268996 1.278754 -0.166749 0.861887 0.507100 0.000750 0.283325 0.503740 +0.276410 1.265942 -0.024242 0.861887 0.507100 0.000750 0.293235 0.509917 +0.333440 1.169196 -0.148889 0.861887 0.507100 0.000750 0.368305 0.557680 +0.334864 1.173440 -0.008152 0.847028 0.530979 -0.024582 0.365877 0.559762 +0.333440 1.169196 -0.148889 0.847028 0.530979 -0.024582 0.368305 0.557680 +0.276410 1.265942 -0.024242 0.847028 0.530979 -0.024582 0.293235 0.509917 +0.000000 1.251145 0.798667 -0.271003 0.649096 0.710797 0.456870 0.431027 +0.000000 1.203002 0.842631 -0.271003 0.649096 0.710797 0.455927 0.462773 +0.085151 1.283248 0.801816 -0.271003 0.649096 0.710797 0.364979 0.407109 +0.115223 1.200244 0.870956 -0.179302 0.590487 0.786878 0.330679 0.460873 +0.085151 1.283248 0.801816 -0.179302 0.590487 0.786878 0.364979 0.407109 +0.000000 1.203002 0.842631 -0.179302 0.590487 0.786878 0.455927 0.462773 +0.201975 1.300758 0.676339 0.634462 0.723441 0.272198 0.297134 0.374940 +0.187521 1.271414 0.788019 0.634462 0.723441 0.272198 0.322029 0.376301 +0.284059 1.231316 0.669572 0.634462 0.723441 0.272198 0.271149 0.471815 +0.234621 1.231194 0.787648 0.627624 0.732554 0.263540 0.307301 0.432054 +0.284059 1.231316 0.669572 0.627624 0.732554 0.263540 0.271149 0.471815 +0.187521 1.271414 0.788019 0.627624 0.732554 0.263540 0.322029 0.376301 +0.263580 1.261915 0.140392 0.841626 0.515174 0.162055 0.293009 0.495722 +0.229655 1.256244 0.334608 0.841626 0.515174 0.162055 0.289194 0.458853 +0.316565 1.170591 0.155536 0.841626 0.515174 0.162055 0.363684 0.539904 +0.284178 1.157604 0.314571 0.872727 0.439013 0.213579 0.364934 0.503692 +0.316565 1.170591 0.155536 0.872727 0.439013 0.213579 0.363684 0.539904 +0.229655 1.256244 0.334608 0.872727 0.439013 0.213579 0.289194 0.458853 +0.423456 0.891875 -0.279155 0.983811 0.169204 -0.059044 0.549365 0.433236 +0.414880 0.913431 -0.360277 0.983811 0.169204 -0.059044 0.563190 0.443135 +0.397077 1.040035 -0.294104 0.983811 0.169204 -0.059044 0.645844 0.465910 +0.412246 1.047188 -0.462044 0.991497 0.090598 0.093415 0.651238 0.449629 +0.397077 1.040035 -0.294104 0.991497 0.090598 0.093415 0.645844 0.465910 +0.414880 0.913431 -0.360277 0.991497 0.090598 0.093415 0.563190 0.443135 +0.409405 0.931537 0.188720 0.951110 0.285799 0.117080 0.574879 0.449573 +0.437223 0.907435 0.021572 0.951110 0.285799 0.117080 0.560237 0.418706 +0.372005 1.062321 0.173291 0.951110 0.285799 0.117080 0.659412 0.493745 +0.392132 1.063792 0.008478 0.951357 0.284299 0.118718 0.661282 0.471925 +0.372005 1.062321 0.173291 0.951357 0.284299 0.118718 0.659412 0.493745 +0.437223 0.907435 0.021572 0.951357 0.284299 0.118718 0.560237 0.418706 +0.000000 0.477658 -0.820987 0.302497 -0.805449 -0.509655 0.636456 0.452425 +0.000000 0.516286 -0.882034 0.302497 -0.805449 -0.509655 0.613826 0.440711 +0.080293 0.503604 -0.814335 0.302497 -0.805449 -0.509655 0.661378 0.367046 +0.066691 0.541093 -0.876853 0.330395 -0.776030 -0.537231 0.632618 0.368808 +0.080293 0.503604 -0.814335 0.330395 -0.776030 -0.537231 0.661378 0.367046 +0.000000 0.516286 -0.882034 0.330395 -0.776030 -0.537231 0.613826 0.440711 +0.229770 0.574212 -0.368127 0.656747 -0.683443 -0.318731 0.714767 0.311676 +0.348259 0.682947 -0.357136 0.656747 -0.683443 -0.318731 0.710272 0.164317 +0.305341 0.595608 -0.258291 0.656747 -0.683443 -0.318731 0.739995 0.232234 +0.390662 0.714595 -0.263803 0.797755 -0.579723 -0.165859 0.712919 0.113785 +0.305341 0.595608 -0.258291 0.797755 -0.579723 -0.165859 0.739995 0.232234 +0.348259 0.682947 -0.357136 0.797755 -0.579723 -0.165859 0.710272 0.164317 +0.317899 0.663392 0.220593 0.854826 -0.475965 0.206710 0.706557 0.199555 +0.337591 0.608417 0.012575 0.854826 -0.475965 0.206710 0.748606 0.197218 +0.372288 0.760127 0.218413 0.854826 -0.475965 0.206710 0.677062 0.117714 +0.401509 0.719666 0.019700 0.838692 -0.496239 0.224373 0.715369 0.101776 +0.372288 0.760127 0.218413 0.838692 -0.496239 0.224373 0.677062 0.117714 +0.337591 0.608417 0.012575 0.838692 -0.496239 0.224373 0.748606 0.197218 +0.093267 1.340819 0.537123 -0.138003 0.988036 0.068851 0.505086 0.193315 +0.000000 1.328178 0.531584 -0.138003 0.988036 0.068851 0.403704 0.201655 +0.078983 1.329372 0.672760 -0.138003 0.988036 0.068851 0.489559 0.200867 +0.078983 1.329372 0.672760 0.292538 0.940727 -0.171621 0.489559 0.200867 +0.000000 1.328178 0.531584 0.292538 0.940727 -0.171621 0.403704 0.201655 +0.038019 1.342369 0.674176 0.292538 0.940727 -0.171621 0.445031 0.192293 +0.000000 1.328178 0.531584 0.030821 0.993768 -0.107119 0.403704 0.201655 +0.000000 1.343699 0.675576 0.030821 0.993768 -0.107119 0.403704 0.191416 +0.038019 1.342369 0.674176 0.030821 0.993768 -0.107119 0.445031 0.192293 +0.276877 1.223774 0.518284 0.780730 0.621154 -0.068029 0.280078 0.469373 +0.208275 1.309593 0.514568 0.780730 0.621154 -0.068029 0.288216 0.376099 +0.284059 1.231316 0.669572 0.780730 0.621154 -0.068029 0.271149 0.471815 +0.201975 1.300758 0.676339 0.647629 0.759033 0.066675 0.297134 0.374940 +0.284059 1.231316 0.669572 0.647629 0.759033 0.066675 0.271149 0.471815 +0.208275 1.309593 0.514568 0.647629 0.759033 0.066675 0.288216 0.376099 +0.000000 0.715693 0.583122 0.569719 -0.757935 0.317733 0.613357 0.412335 +0.000000 0.669559 0.473072 0.569719 -0.757935 0.317733 0.640386 0.426326 +0.009831 0.722762 0.582357 0.569719 -0.757935 0.317733 0.614128 0.400701 +0.042466 0.676207 0.462186 0.242207 -0.880740 0.406981 0.657711 0.383315 +0.009831 0.722762 0.582357 0.242207 -0.880740 0.406981 0.614128 0.400701 +0.000000 0.669559 0.473072 0.242207 -0.880740 0.406981 0.640386 0.426326 +0.163891 1.230911 -0.925097 0.605356 0.580687 -0.544377 0.278400 0.439079 +0.077967 1.301869 -0.944955 0.605356 0.580687 -0.544377 0.373150 0.395061 +0.198746 1.318974 -0.792401 0.605356 0.580687 -0.544377 0.242254 0.379884 +0.113353 1.389298 -0.829547 0.654811 0.492140 -0.573603 0.336413 0.336267 +0.198746 1.318974 -0.792401 0.654811 0.492140 -0.573603 0.242254 0.379884 +0.077967 1.301869 -0.944955 0.654811 0.492140 -0.573603 0.373150 0.395061 +0.215624 1.379687 -0.638821 0.644377 0.684303 -0.341333 0.225104 0.339304 +0.198746 1.318974 -0.792401 0.644377 0.684303 -0.341333 0.242254 0.379884 +0.117833 1.452666 -0.677125 0.644377 0.684303 -0.341333 0.332787 0.294336 +0.113353 1.389298 -0.829547 0.680732 0.669098 -0.298180 0.336413 0.336267 +0.117833 1.452666 -0.677125 0.680732 0.669098 -0.298180 0.332787 0.294336 +0.198746 1.318974 -0.792401 0.680732 0.669098 -0.298180 0.242254 0.379884 +0.236095 1.315803 -0.336440 0.708977 0.674509 0.205884 0.227341 0.265811 +0.219620 1.385795 -0.509012 0.708977 0.674509 0.205884 0.275324 0.253549 +0.108530 1.455653 -0.355331 0.708977 0.674509 0.205884 0.383008 0.325034 +0.114572 1.478219 -0.524305 0.645261 0.753872 0.123751 0.391306 0.311038 +0.108530 1.455653 -0.355331 0.645261 0.753872 0.123751 0.383008 0.325034 +0.219620 1.385795 -0.509012 0.645261 0.753872 0.123751 0.275324 0.253549 +0.263580 1.261915 0.140392 0.466232 0.882764 0.057926 0.271144 0.441764 +0.276410 1.265942 -0.024242 0.466232 0.882764 0.057926 0.259809 0.450313 +0.121794 1.337687 0.126862 0.466232 0.882764 0.057926 0.337621 0.294002 +0.126253 1.371295 -0.069033 0.536136 0.829859 0.154575 0.317939 0.282703 +0.121794 1.337687 0.126862 0.536136 0.829859 0.154575 0.337621 0.294002 +0.276410 1.265942 -0.024242 0.536136 0.829859 0.154575 0.259809 0.450313 +0.229655 1.256244 0.334608 0.319654 0.918134 -0.234204 0.207442 0.420252 +0.108528 1.304915 0.360089 0.319654 0.918134 -0.234204 0.340003 0.392067 +0.208275 1.309593 0.514568 0.319654 0.918134 -0.234204 0.231717 0.385762 +0.093267 1.340819 0.537123 0.225899 0.958324 -0.174883 0.357288 0.368883 +0.208275 1.309593 0.514568 0.225899 0.958324 -0.174883 0.231717 0.385762 +0.108528 1.304915 0.360089 0.225899 0.958324 -0.174883 0.340003 0.392067 +0.085151 1.283248 0.801816 0.167104 0.835796 0.522993 0.364979 0.407109 +0.187521 1.271414 0.788019 0.167104 0.835796 0.522993 0.253519 0.411608 +0.083203 1.299485 0.776490 0.167104 0.835796 0.522993 0.367414 0.396464 +0.234621 1.231194 0.787648 0.415295 0.479203 0.773236 0.201556 0.436610 +0.187521 1.271414 0.788019 0.415295 0.479203 0.773236 0.253519 0.411608 +0.115223 1.200244 0.870956 0.415295 0.479203 0.773236 0.330679 0.460873 +0.085151 1.283248 0.801816 0.174722 0.666778 0.724486 0.364979 0.407109 +0.115223 1.200244 0.870956 0.174722 0.666778 0.724486 0.330679 0.460873 +0.187521 1.271414 0.788019 0.174722 0.666778 0.724486 0.253519 0.411608 +0.219224 0.687039 0.341114 0.447278 -0.669454 0.593106 0.739692 0.209398 +0.042466 0.676207 0.462186 0.447278 -0.669454 0.593106 0.657711 0.383315 +0.110497 0.628471 0.357001 0.447278 -0.669454 0.593106 0.603316 0.300020 +0.337591 0.608417 0.012575 0.476137 -0.877142 0.062566 0.748606 0.197218 +0.181052 0.522829 0.003963 0.476137 -0.877142 0.062566 0.720527 0.374288 +0.334028 0.594810 -0.151073 0.476137 -0.877142 0.062566 0.754798 0.204783 +0.173069 0.533491 -0.171989 0.363301 -0.928826 -0.072766 0.710291 0.378761 +0.334028 0.594810 -0.151073 0.363301 -0.928826 -0.072766 0.754798 0.204783 +0.181052 0.522829 0.003963 0.363301 -0.928826 -0.072766 0.720527 0.374288 +0.188531 0.548481 -0.803520 0.324664 -0.608562 -0.724048 0.689173 0.248949 +0.080293 0.503604 -0.814335 0.324664 -0.608562 -0.724048 0.661378 0.367046 +0.130931 0.601270 -0.873717 0.324664 -0.608562 -0.724048 0.629463 0.288543 +0.066691 0.541093 -0.876853 0.604047 -0.618649 -0.502396 0.632618 0.368808 +0.130931 0.601270 -0.873717 0.604047 -0.618649 -0.502396 0.629463 0.288543 +0.080293 0.503604 -0.814335 0.604047 -0.618649 -0.502396 0.661378 0.367046 +0.173069 0.533491 -0.171989 0.167185 -0.981882 -0.089205 0.690229 0.268421 +0.000000 0.504867 -0.181284 0.167185 -0.981882 -0.089205 0.620516 0.444174 +0.163313 0.540615 -0.268688 0.167185 -0.981882 -0.089205 0.681180 0.275678 +0.000000 0.498178 -0.278300 0.247263 -0.966654 0.066648 0.624434 0.446202 +0.163313 0.540615 -0.268688 0.247263 -0.966654 0.066648 0.681180 0.275678 +0.000000 0.504867 -0.181284 0.247263 -0.966654 0.066648 0.620516 0.444174 +0.121475 1.417969 -0.199653 0.281357 0.937755 0.203601 0.535749 0.142419 +0.108530 1.455653 -0.355331 0.281357 0.937755 0.203601 0.521677 0.117558 +0.000000 1.457249 -0.212704 0.281357 0.937755 0.203601 0.403704 0.116505 +0.000000 1.491224 -0.361320 0.293667 0.931867 0.213034 0.403704 0.094092 +0.000000 1.457249 -0.212704 0.293667 0.931867 0.213034 0.403704 0.116505 +0.108530 1.455653 -0.355331 0.293667 0.931867 0.213034 0.521677 0.117558 +0.414880 0.913431 -0.360277 0.945521 -0.275662 -0.173208 0.563190 0.443135 +0.423456 0.891875 -0.279155 0.945521 -0.275662 -0.173208 0.549365 0.433236 +0.348259 0.682947 -0.357136 0.945521 -0.275662 -0.173208 0.408285 0.509234 +0.390662 0.714595 -0.263803 0.915847 -0.199589 -0.348409 0.431043 0.464040 +0.348259 0.682947 -0.357136 0.915847 -0.199589 -0.348409 0.408285 0.509234 +0.423456 0.891875 -0.279155 0.915847 -0.199589 -0.348409 0.549365 0.433236 +0.219620 1.385795 -0.509012 0.796352 0.583152 0.160490 0.203292 0.465503 +0.236095 1.315803 -0.336440 0.796352 0.583152 0.160490 0.252138 0.473675 +0.335016 1.219440 -0.477144 0.796352 0.583152 0.160490 0.336195 0.566079 +0.317998 1.171010 -0.316945 0.830736 0.502235 0.240081 0.363729 0.541485 +0.335016 1.219440 -0.477144 0.830736 0.502235 0.240081 0.336195 0.566079 +0.236095 1.315803 -0.336440 0.830736 0.502235 0.240081 0.252138 0.473675 +0.432499 0.893081 -0.117936 0.964817 0.256882 -0.056039 0.550564 0.423448 +0.423456 0.891875 -0.279155 0.964817 0.256882 -0.056039 0.549365 0.433236 +0.390117 1.050900 -0.124181 0.964817 0.256882 -0.056039 0.652695 0.473764 +0.397077 1.040035 -0.294104 0.983599 0.178040 0.028904 0.645844 0.465910 +0.390117 1.050900 -0.124181 0.983599 0.178040 0.028904 0.652695 0.473764 +0.423456 0.891875 -0.279155 0.983599 0.178040 0.028904 0.549365 0.433236 +0.408121 0.708110 -0.129847 0.840664 -0.524472 -0.134957 0.725443 0.098897 +0.334028 0.594810 -0.151073 0.840664 -0.524472 -0.134957 0.754798 0.204783 +0.390662 0.714595 -0.263803 0.840664 -0.524472 -0.134957 0.712919 0.113785 +0.305341 0.595608 -0.258291 0.788847 -0.575627 -0.215346 0.739995 0.232234 +0.390662 0.714595 -0.263803 0.788847 -0.575627 -0.215346 0.712919 0.113785 +0.334028 0.594810 -0.151073 0.788847 -0.575627 -0.215346 0.754798 0.204783 +0.268996 1.278754 -0.166749 0.682896 0.730017 0.026981 0.258959 0.438666 +0.236095 1.315803 -0.336440 0.682896 0.730017 0.026981 0.264870 0.395752 +0.121475 1.417969 -0.199653 0.682896 0.730017 0.026981 0.298614 0.258175 +0.108530 1.455653 -0.355331 0.727833 0.677888 0.103571 0.289646 0.231052 +0.121475 1.417969 -0.199653 0.727833 0.677888 0.103571 0.298614 0.258175 +0.236095 1.315803 -0.336440 0.727833 0.677888 0.103571 0.264870 0.395752 +0.144773 0.521976 -0.369613 0.521828 -0.850847 0.061276 0.608607 0.339353 +0.229770 0.574212 -0.368127 0.521828 -0.850847 0.061276 0.620477 0.241460 +0.163313 0.540615 -0.268688 0.521828 -0.850847 0.061276 0.606952 0.315802 +0.305341 0.595608 -0.258291 0.364643 -0.928511 -0.070014 0.645705 0.162018 +0.163313 0.540615 -0.268688 0.364643 -0.928511 -0.070014 0.606952 0.315802 +0.229770 0.574212 -0.368127 0.364643 -0.928511 -0.070014 0.620477 0.241460 +0.000000 0.669559 0.473072 0.254675 -0.838772 0.481250 0.640386 0.426326 +0.000000 0.606042 0.362368 0.254675 -0.838772 0.481250 0.561240 0.413490 +0.042466 0.676207 0.462186 0.254675 -0.838772 0.481250 0.657711 0.383315 +0.110497 0.628471 0.357001 0.195038 -0.839507 0.507138 0.603316 0.300020 +0.042466 0.676207 0.462186 0.195038 -0.839507 0.507138 0.657711 0.383315 +0.000000 0.606042 0.362368 0.195038 -0.839507 0.507138 0.561240 0.413490 +0.401509 0.719666 0.019700 0.966041 -0.185536 0.179835 0.434871 0.452396 +0.437223 0.907435 0.021572 0.966041 -0.185536 0.179835 0.560237 0.418706 +0.372288 0.760127 0.218413 0.966041 -0.185536 0.179835 0.460234 0.485232 +0.409405 0.931537 0.188720 0.966410 -0.176983 0.186357 0.574879 0.449573 +0.372288 0.760127 0.218413 0.966410 -0.176983 0.186357 0.460234 0.485232 +0.437223 0.907435 0.021572 0.966410 -0.176983 0.186357 0.560237 0.418706 +0.000000 1.403213 -0.085812 0.222811 0.962545 0.154477 0.403704 0.152153 +0.000000 1.369700 0.123007 0.222811 0.962545 0.154477 0.403704 0.174263 +0.126253 1.371295 -0.069033 0.222811 0.962545 0.154477 0.540943 0.173210 +0.121794 1.337687 0.126862 0.245522 0.954485 0.169341 0.536095 0.195382 +0.126253 1.371295 -0.069033 0.245522 0.954485 0.169341 0.540943 0.173210 +0.000000 1.369700 0.123007 0.245522 0.954485 0.169341 0.403704 0.174263 +0.276410 1.265942 -0.024242 0.836533 0.542270 0.078456 0.293235 0.509917 +0.263580 1.261915 0.140392 0.836533 0.542270 0.078456 0.293009 0.495722 +0.334864 1.173440 -0.008152 0.836533 0.542270 0.078456 0.365877 0.559762 +0.316565 1.170591 0.155536 0.852650 0.511981 0.104230 0.363684 0.539904 +0.334864 1.173440 -0.008152 0.852650 0.511981 0.104230 0.365877 0.559762 +0.263580 1.261915 0.140392 0.852650 0.511981 0.104230 0.293009 0.495722 +0.360061 0.937631 0.306779 0.906443 0.206898 0.368177 0.576688 0.503332 +0.409405 0.931537 0.188720 0.906443 0.206898 0.368177 0.574879 0.449573 +0.328173 1.060432 0.316278 0.906443 0.206898 0.368177 0.656206 0.541300 +0.372005 1.062321 0.173291 0.912607 0.294439 0.283645 0.659412 0.493745 +0.328173 1.060432 0.316278 0.912607 0.294439 0.283645 0.656206 0.541300 +0.409405 0.931537 0.188720 0.912607 0.294439 0.283645 0.574879 0.449573 +0.219224 0.687039 0.341114 0.620522 -0.498007 0.605757 0.643396 0.287639 +0.317899 0.663392 0.220593 0.620522 -0.498007 0.605757 0.706557 0.199555 +0.337829 0.803507 0.315369 0.620522 -0.498007 0.605757 0.634428 0.137823 +0.372288 0.760127 0.218413 0.775644 -0.425600 0.466092 0.677062 0.117714 +0.337829 0.803507 0.315369 0.775644 -0.425600 0.466092 0.634428 0.137823 +0.317899 0.663392 0.220593 0.775644 -0.425600 0.466092 0.706557 0.199555 +0.108528 1.304915 0.360089 0.395611 0.906115 0.149826 0.363324 0.297839 +0.229655 1.256244 0.334608 0.395611 0.906115 0.149826 0.298683 0.416955 +0.121794 1.337687 0.126862 0.395611 0.906115 0.149826 0.337621 0.294002 +0.263580 1.261915 0.140392 0.460759 0.881147 0.106213 0.271144 0.441764 +0.121794 1.337687 0.126862 0.460759 0.881147 0.106213 0.337621 0.294002 +0.229655 1.256244 0.334608 0.460759 0.881147 0.106213 0.298683 0.416955 +0.337591 0.608417 0.012575 0.450838 -0.851512 0.267716 0.748606 0.197218 +0.317899 0.663392 0.220593 0.450838 -0.851512 0.267716 0.706557 0.199555 +0.181052 0.522829 0.003963 0.450838 -0.851512 0.267716 0.720527 0.374288 +0.157486 0.562074 0.215574 0.517204 -0.829342 0.211407 0.685758 0.385136 +0.181052 0.522829 0.003963 0.517204 -0.829342 0.211407 0.720527 0.374288 +0.317899 0.663392 0.220593 0.517204 -0.829342 0.211407 0.706557 0.199555 +0.423456 0.891875 -0.279155 0.981061 -0.186126 -0.053637 0.549365 0.433236 +0.432499 0.893081 -0.117936 0.981061 -0.186126 -0.053637 0.550564 0.423448 +0.390662 0.714595 -0.263803 0.981061 -0.186126 -0.053637 0.431043 0.464040 +0.408121 0.708110 -0.129847 0.983560 -0.120995 -0.134049 0.427550 0.444901 +0.390662 0.714595 -0.263803 0.983560 -0.120995 -0.134049 0.431043 0.464040 +0.432499 0.893081 -0.117936 0.983560 -0.120995 -0.134049 0.550564 0.423448 +0.236095 1.315803 -0.336440 0.872282 0.484894 -0.063257 0.252138 0.473675 +0.268996 1.278754 -0.166749 0.872282 0.484894 -0.063257 0.283325 0.503740 +0.317998 1.171010 -0.316945 0.872282 0.484894 -0.063257 0.363729 0.541485 +0.333440 1.169196 -0.148889 0.864803 0.496613 -0.074103 0.368305 0.557680 +0.317998 1.171010 -0.316945 0.864803 0.496613 -0.074103 0.363729 0.541485 +0.268996 1.278754 -0.166749 0.864803 0.496613 -0.074103 0.283325 0.503740 +0.163313 0.540615 -0.268688 0.365756 -0.924765 -0.105031 0.701242 0.386018 +0.305341 0.595608 -0.258291 0.365756 -0.924765 -0.105031 0.739995 0.232234 +0.173069 0.533491 -0.171989 0.365756 -0.924765 -0.105031 0.710291 0.378761 +0.334028 0.594810 -0.151073 0.365904 -0.924735 -0.104783 0.754798 0.204783 +0.173069 0.533491 -0.171989 0.365904 -0.924735 -0.104783 0.710291 0.378761 +0.305341 0.595608 -0.258291 0.365904 -0.924735 -0.104783 0.739995 0.232234 +0.181052 0.522829 0.003963 0.064729 -0.995894 -0.063284 0.700465 0.263949 +0.000000 0.511473 -0.002516 0.064729 -0.995894 -0.063284 0.616645 0.442170 +0.173069 0.533491 -0.171989 0.064729 -0.995894 -0.063284 0.690229 0.268421 +0.000000 0.504867 -0.181284 0.161160 -0.986255 0.036445 0.620516 0.444174 +0.173069 0.533491 -0.171989 0.161160 -0.986255 0.036445 0.690229 0.268421 +0.000000 0.511473 -0.002516 0.161160 -0.986255 0.036445 0.616645 0.442170 +0.126253 1.371295 -0.069033 0.191163 0.926516 0.324076 0.540943 0.173210 +0.121475 1.417969 -0.199653 0.191163 0.926516 0.324076 0.535749 0.142419 +0.000000 1.403213 -0.085812 0.191163 0.926516 0.324076 0.403704 0.152153 +0.000000 1.457249 -0.212704 0.247469 0.891434 0.379611 0.403704 0.116505 +0.000000 1.403213 -0.085812 0.247469 0.891434 0.379611 0.403704 0.152153 +0.121475 1.417969 -0.199653 0.247469 0.891434 0.379611 0.535749 0.142419 +0.437223 0.907435 0.021572 0.960421 0.271904 -0.060498 0.560237 0.418706 +0.432499 0.893081 -0.117936 0.960421 0.271904 -0.060498 0.550564 0.423448 +0.392132 1.063792 0.008478 0.960421 0.271904 -0.060498 0.661282 0.471925 +0.390117 1.050900 -0.124181 0.965412 0.257688 -0.039707 0.652695 0.473764 +0.392132 1.063792 0.008478 0.965412 0.257688 -0.039707 0.661282 0.471925 +0.432499 0.893081 -0.117936 0.965412 0.257688 -0.039707 0.550564 0.423448 +0.401509 0.719666 0.019700 0.862382 -0.500399 0.076797 0.715369 0.101776 +0.337591 0.608417 0.012575 0.862382 -0.500399 0.076797 0.748606 0.197218 +0.408121 0.708110 -0.129847 0.862382 -0.500399 0.076797 0.725443 0.098897 +0.334028 0.594810 -0.151073 0.834230 -0.550724 0.027628 0.754798 0.204783 +0.408121 0.708110 -0.129847 0.834230 -0.550724 0.027628 0.725443 0.098897 +0.337591 0.608417 0.012575 0.834230 -0.550724 0.027628 0.748606 0.197218 +0.276410 1.265942 -0.024242 0.564808 0.824011 0.044698 0.259809 0.450313 +0.268996 1.278754 -0.166749 0.564808 0.824011 0.044698 0.258959 0.438666 +0.126253 1.371295 -0.069033 0.564808 0.824011 0.044698 0.317939 0.282703 +0.121475 1.417969 -0.199653 0.637910 0.732302 0.238337 0.298614 0.258175 +0.126253 1.371295 -0.069033 0.637910 0.732302 0.238337 0.317939 0.282703 +0.268996 1.278754 -0.166749 0.637910 0.732302 0.238337 0.258959 0.438666 +0.298690 0.981866 -0.872468 0.753889 0.190136 -0.628888 0.495414 0.574701 +0.250557 1.103714 -0.893329 0.753889 0.190136 -0.628888 0.451551 0.659995 +0.378254 1.055511 -0.754824 0.753889 0.190136 -0.628888 0.586399 0.614225 +0.315181 1.175598 -0.764996 0.746948 0.344129 -0.568896 0.526262 0.700018 +0.378254 1.055511 -0.754824 0.746948 0.344129 -0.568896 0.586399 0.614225 +0.250557 1.103714 -0.893329 0.746948 0.344129 -0.568896 0.451551 0.659995 +0.417389 1.074460 -0.603646 0.856193 0.436532 -0.276356 0.629991 0.622329 +0.378254 1.055511 -0.754824 0.856193 0.436532 -0.276356 0.586399 0.614225 +0.352477 1.199774 -0.606807 0.856193 0.436532 -0.276356 0.568217 0.711755 +0.315181 1.175598 -0.764996 0.861894 0.429912 -0.268911 0.526262 0.700018 +0.352477 1.199774 -0.606807 0.861894 0.429912 -0.268911 0.568217 0.711755 +0.378254 1.055511 -0.754824 0.861894 0.429912 -0.268911 0.586399 0.614225 +0.397077 1.040035 -0.294104 0.844177 0.526901 0.098692 0.605714 0.601985 +0.412246 1.047188 -0.462044 0.844177 0.526901 0.098692 0.622597 0.605000 +0.317998 1.171010 -0.316945 0.844177 0.526901 0.098692 0.529000 0.696695 +0.335016 1.219440 -0.477144 0.882953 0.415099 0.219286 0.550656 0.726595 +0.317998 1.171010 -0.316945 0.882953 0.415099 0.219286 0.529000 0.696695 +0.412246 1.047188 -0.462044 0.882953 0.415099 0.219286 0.622597 0.605000 +0.390117 1.050900 -0.124181 0.901049 0.433620 0.009181 0.598917 0.609886 +0.397077 1.040035 -0.294104 0.901049 0.433620 0.009181 0.605714 0.601985 +0.333440 1.169196 -0.148889 0.901049 0.433620 0.009181 0.545577 0.693795 +0.317998 1.171010 -0.316945 0.859370 0.506045 -0.073502 0.529000 0.696695 +0.333440 1.169196 -0.148889 0.859370 0.506045 -0.073502 0.545577 0.693795 +0.397077 1.040035 -0.294104 0.859370 0.506045 -0.073502 0.605714 0.601985 +0.392132 1.063792 0.008478 0.888473 0.455283 -0.057741 0.601963 0.618123 +0.390117 1.050900 -0.124181 0.888473 0.455283 -0.057741 0.598917 0.609886 +0.334864 1.173440 -0.008152 0.888473 0.455283 -0.057741 0.547401 0.696423 +0.333440 1.169196 -0.148889 0.903403 0.428225 -0.022054 0.545577 0.693795 +0.334864 1.173440 -0.008152 0.903403 0.428225 -0.022054 0.547401 0.696423 +0.390117 1.050900 -0.124181 0.903403 0.428225 -0.022054 0.598917 0.609886 +0.372005 1.062321 0.173291 0.877046 0.467342 0.111276 0.580099 0.619386 +0.392132 1.063792 0.008478 0.877046 0.467342 0.111276 0.601963 0.618123 +0.316565 1.170591 0.155536 0.877046 0.467342 0.111276 0.527422 0.696578 +0.334864 1.173440 -0.008152 0.874701 0.472926 0.106016 0.547401 0.696423 +0.316565 1.170591 0.155536 0.874701 0.472926 0.106016 0.527422 0.696578 +0.392132 1.063792 0.008478 0.874701 0.472926 0.106016 0.601963 0.618123 +0.372005 1.062321 0.173291 0.840315 0.473554 0.263851 0.580099 0.619386 +0.316565 1.170591 0.155536 0.840315 0.473554 0.263851 0.527422 0.696578 +0.328173 1.060432 0.316278 0.840315 0.473554 0.263851 0.532574 0.622998 +0.284178 1.157604 0.314571 0.888441 0.406006 0.214083 0.491527 0.691640 +0.328173 1.060432 0.316278 0.888441 0.406006 0.214083 0.532574 0.622998 +0.316565 1.170591 0.155536 0.888441 0.406006 0.214083 0.527422 0.696578 +0.115223 1.200244 0.870956 -0.219774 0.311816 0.924376 0.328800 0.461580 +0.000000 1.203002 0.842631 -0.219774 0.311816 0.924376 0.394348 0.354837 +0.055367 1.060557 0.903845 -0.219774 0.311816 0.924376 0.441470 0.455993 +0.000000 1.071758 0.877127 -0.383527 0.234766 0.893192 0.467464 0.401211 +0.055367 1.060557 0.903845 -0.383527 0.234766 0.893192 0.441470 0.455993 +0.000000 1.203002 0.842631 -0.383527 0.234766 0.893192 0.394348 0.354837 +0.108528 1.304915 0.360089 0.262863 0.949746 -0.169957 0.340003 0.392067 +0.000000 1.337871 0.376398 0.262863 0.949746 -0.169957 0.458568 0.373837 +0.093267 1.340819 0.537123 0.262863 0.949746 -0.169957 0.357288 0.368883 +0.000000 1.328178 0.531584 -0.137651 0.988554 0.061745 0.458378 0.380229 +0.093267 1.340819 0.537123 -0.137651 0.988554 0.061745 0.357288 0.368883 +0.000000 1.337871 0.376398 -0.137651 0.988554 0.061745 0.458568 0.373837 +0.284178 1.157604 0.314571 0.856006 0.499908 -0.131701 0.364934 0.503692 +0.229655 1.256244 0.334608 0.856006 0.499908 -0.131701 0.289194 0.458853 +0.276877 1.223774 0.518284 0.856006 0.499908 -0.131701 0.320579 0.504774 +0.208275 1.309593 0.514568 0.779783 0.619403 -0.090980 0.250018 0.443232 +0.276877 1.223774 0.518284 0.779783 0.619403 -0.090980 0.320579 0.504774 +0.229655 1.256244 0.334608 0.779783 0.619403 -0.090980 0.289194 0.458853 +0.000000 0.766550 0.690640 -0.351891 -0.846156 0.400240 0.420168 0.475382 +0.000000 0.715693 0.583122 -0.351891 -0.846156 0.400240 0.452472 0.484440 +0.008274 0.762612 0.689589 -0.351891 -0.846156 0.400240 0.425097 0.467423 +0.009831 0.722762 0.582357 0.573132 -0.765384 0.292757 0.450867 0.472892 +0.008274 0.762612 0.689589 0.573132 -0.765384 0.292757 0.425097 0.467423 +0.000000 0.715693 0.583122 0.573132 -0.765384 0.292757 0.452472 0.484440 +0.078983 1.329372 0.672760 0.222434 0.969253 0.105224 0.372585 0.376893 +0.201975 1.300758 0.676339 0.222434 0.969253 0.105224 0.238389 0.391792 +0.093267 1.340819 0.537123 0.222434 0.969253 0.105224 0.357288 0.368883 +0.208275 1.309593 0.514568 0.273003 0.959944 0.063058 0.231717 0.385762 +0.093267 1.340819 0.537123 0.273003 0.959944 0.063058 0.357288 0.368883 +0.201975 1.300758 0.676339 0.273003 0.959944 0.063058 0.238389 0.391792 +0.122304 0.494920 -0.438939 0.492852 -0.831273 0.257064 0.593169 0.258908 +0.000000 0.424155 -0.433288 0.492852 -0.831273 0.257064 0.573512 0.398435 +0.090467 0.448806 -0.527020 0.492852 -0.831273 0.257064 0.604277 0.303627 +0.000000 0.408895 -0.520935 0.407450 -0.899693 0.156643 0.582453 0.403063 +0.090467 0.448806 -0.527020 0.407450 -0.899693 0.156643 0.604277 0.303627 +0.000000 0.424155 -0.433288 0.407450 -0.899693 0.156643 0.573512 0.398435 +0.000000 1.401005 -0.850805 0.174926 0.875389 -0.450661 0.403704 0.153610 +0.000000 1.481308 -0.694820 0.174926 0.875389 -0.450661 0.403704 0.100633 +0.113353 1.389298 -0.829547 0.174926 0.875389 -0.450661 0.526920 0.161334 +0.117833 1.452666 -0.677125 0.271803 0.885760 -0.376235 0.531790 0.119529 +0.113353 1.389298 -0.829547 0.271803 0.885760 -0.376235 0.526920 0.161334 +0.000000 1.481308 -0.694820 0.271803 0.885760 -0.376235 0.403704 0.100633 +0.198746 1.318974 -0.792401 0.766625 0.563863 -0.307155 0.241857 0.434345 +0.215624 1.379687 -0.638821 0.766625 0.563863 -0.307155 0.206357 0.460432 +0.315181 1.175598 -0.764996 0.766625 0.563863 -0.307155 0.360144 0.539101 +0.352477 1.199774 -0.606807 0.788846 0.551941 -0.270338 0.352748 0.582034 +0.315181 1.175598 -0.764996 0.788846 0.551941 -0.270338 0.360144 0.539101 +0.215624 1.379687 -0.638821 0.788846 0.551941 -0.270338 0.206357 0.460432 +0.219620 1.385795 -0.509012 0.664080 0.745597 -0.055526 0.642434 0.163645 +0.215624 1.379687 -0.638821 0.664080 0.745597 -0.055526 0.638090 0.167674 +0.114572 1.478219 -0.524305 0.664080 0.745597 -0.055526 0.528245 0.102671 +0.117833 1.452666 -0.677125 0.622848 0.773684 -0.116077 0.531790 0.119529 +0.114572 1.478219 -0.524305 0.622848 0.773684 -0.116077 0.528245 0.102671 +0.215624 1.379687 -0.638821 0.622848 0.773684 -0.116077 0.638090 0.167674 +0.412246 1.047188 -0.462044 0.902948 0.414718 0.112668 0.622597 0.605000 +0.417389 1.074460 -0.603646 0.902948 0.414718 0.112668 0.629991 0.622329 +0.335016 1.219440 -0.477144 0.902948 0.414718 0.112668 0.550656 0.726595 +0.352477 1.199774 -0.606807 0.886344 0.460371 0.049535 0.568217 0.711755 +0.335016 1.219440 -0.477144 0.886344 0.460371 0.049535 0.550656 0.726595 +0.417389 1.074460 -0.603646 0.886344 0.460371 0.049535 0.629991 0.622329 +0.247080 0.947536 -1.089240 0.988866 -0.100009 -0.110194 0.562607 0.626637 +0.261441 0.936834 -0.950653 0.988866 -0.100009 -0.110194 0.578293 0.633526 +0.241338 0.904321 -1.101547 0.988866 -0.100009 -0.110194 0.579637 0.602936 +0.261829 0.862849 -0.969024 0.989280 0.040058 -0.140429 0.614875 0.601211 +0.241338 0.904321 -1.101547 0.989280 0.040058 -0.140429 0.579637 0.602936 +0.261441 0.936834 -0.950653 0.989280 0.040058 -0.140429 0.578293 0.633526 +0.070074 0.663809 -1.244802 -0.284855 -0.096310 -0.953720 0.678770 0.360424 +0.036703 0.673595 -1.235823 -0.284855 -0.096310 -0.953720 0.656361 0.389671 +0.070992 0.686623 -1.247380 -0.284855 -0.096310 -0.953720 0.665863 0.352619 +0.036792 0.697304 -1.238117 -0.286775 -0.091193 -0.953648 0.642516 0.382395 +0.070992 0.686623 -1.247380 -0.286775 -0.091193 -0.953648 0.665863 0.352619 +0.036703 0.673595 -1.235823 -0.286775 -0.091193 -0.953648 0.656361 0.389671 +0.147323 1.206186 -1.283632 0.195764 0.973865 -0.115170 0.295917 0.455918 +0.085375 1.217723 -1.291375 0.195764 0.973865 -0.115170 0.363452 0.450309 +0.149037 1.217860 -1.182005 0.195764 0.973865 -0.115170 0.294283 0.448165 +0.082590 1.230108 -1.177560 0.173698 0.979468 -0.102332 0.366720 0.442233 +0.149037 1.217860 -1.182005 0.173698 0.979468 -0.102332 0.294283 0.448165 +0.085375 1.217723 -1.291375 0.173698 0.979468 -0.102332 0.363452 0.450309 +0.068422 1.066913 -1.451326 0.333393 0.415798 -0.846145 0.374210 0.534856 +0.082822 1.147955 -1.405828 0.333393 0.415798 -0.846145 0.344913 0.582239 +0.122807 1.061670 -1.432474 0.333393 0.415798 -0.846145 0.416303 0.576509 +0.144216 1.142150 -1.389224 0.274392 0.397550 -0.875593 0.392375 0.629310 +0.122807 1.061670 -1.432474 0.274392 0.397550 -0.875593 0.416303 0.576509 +0.082822 1.147955 -1.405828 0.274392 0.397550 -0.875593 0.344913 0.582239 +0.019196 0.641123 -1.594895 0.393889 -0.827938 -0.399212 0.572347 0.346203 +0.048210 0.652445 -1.589749 0.393889 -0.827938 -0.399212 0.580213 0.314760 +0.018462 0.630150 -1.572862 0.393889 -0.827938 -0.399212 0.578409 0.350240 +0.042564 0.636975 -1.569583 0.297143 -0.795954 -0.527413 0.586455 0.324903 +0.018462 0.630150 -1.572862 0.297143 -0.795954 -0.527413 0.578409 0.350240 +0.048210 0.652445 -1.589749 0.297143 -0.795954 -0.527413 0.580213 0.314760 +0.140954 1.195292 -1.081044 0.369945 0.894691 -0.250336 0.302624 0.463307 +0.063677 1.226234 -1.084658 0.369945 0.894691 -0.250336 0.387195 0.445398 +0.155712 1.208942 -1.010450 0.369945 0.894691 -0.250336 0.286856 0.453830 +0.063836 1.256372 -1.006456 0.422294 0.845532 -0.326716 0.387611 0.425519 +0.155712 1.208942 -1.010450 0.422294 0.845532 -0.326716 0.286856 0.453830 +0.063677 1.226234 -1.084658 0.422294 0.845532 -0.326716 0.387195 0.445398 +0.050513 0.530957 -1.365189 0.248529 -0.930166 -0.270230 0.630472 0.387499 +0.018619 0.523921 -1.370303 0.248529 -0.930166 -0.270230 0.618657 0.420421 +0.042243 0.536856 -1.393100 0.248529 -0.930166 -0.270230 0.622883 0.393693 +0.013712 0.533006 -1.402167 0.220222 -0.928599 -0.298675 0.610882 0.422403 +0.042243 0.536856 -1.393100 0.220222 -0.928599 -0.298675 0.622883 0.393693 +0.018619 0.523921 -1.370303 0.220222 -0.928599 -0.298675 0.618657 0.420421 +0.261829 0.862849 -0.969024 0.968994 0.064319 -0.238567 0.614875 0.601211 +0.261441 0.936834 -0.950653 0.968994 0.064319 -0.238567 0.578293 0.633526 +0.275470 0.839500 -0.919913 0.968994 0.064319 -0.238567 0.636243 0.601941 +0.232935 1.172981 -1.184636 0.871359 0.483077 -0.085848 0.210628 0.476731 +0.262478 1.120451 -1.180367 0.871359 0.483077 -0.085848 0.218321 0.523347 +0.228412 1.165832 -1.270773 0.871359 0.483077 -0.085848 0.217368 0.475737 +0.248806 1.114913 -1.231756 0.947206 0.172065 -0.270546 0.230318 0.513845 +0.228412 1.165832 -1.270773 0.947206 0.172065 -0.270546 0.217368 0.475737 +0.262478 1.120451 -1.180367 0.947206 0.172065 -0.270546 0.218321 0.523347 +0.101380 0.680852 -1.557837 0.645196 -0.502097 -0.575865 0.684429 0.325034 +0.091704 0.667292 -1.556855 0.645196 -0.502097 -0.575865 0.687539 0.338488 +0.077701 0.670632 -1.575456 0.645196 -0.502097 -0.575865 0.678584 0.350992 +0.070546 0.651884 -1.562914 0.588887 -0.592484 -0.549704 0.685993 0.363585 +0.077701 0.670632 -1.575456 0.588887 -0.592484 -0.549704 0.678584 0.350992 +0.091704 0.667292 -1.556855 0.588887 -0.592484 -0.549704 0.687539 0.338488 +0.212058 1.151285 -1.089059 0.856230 0.414127 0.308819 0.224505 0.490032 +0.194389 1.135778 -1.019275 0.856230 0.414127 0.308819 0.243400 0.500827 +0.243257 1.101869 -1.109294 0.856230 0.414127 0.308819 0.189638 0.521610 +0.233524 1.070262 -1.041313 0.858121 0.407524 0.312333 0.199594 0.542767 +0.243257 1.101869 -1.109294 0.858121 0.407524 0.312333 0.189638 0.521610 +0.194389 1.135778 -1.019275 0.858121 0.407524 0.312333 0.243400 0.500827 +0.079852 0.553916 -1.324992 0.682413 -0.692509 0.233973 0.631682 0.352214 +0.077998 0.542918 -1.352136 0.682413 -0.692509 0.233973 0.637199 0.357339 +0.096465 0.564166 -1.343108 0.682413 -0.692509 0.233973 0.633979 0.333068 +0.072713 0.548504 -1.377240 0.780017 -0.555624 -0.287847 0.631285 0.360747 +0.096465 0.564166 -1.343108 0.780017 -0.555624 -0.287847 0.633979 0.333068 +0.077998 0.542918 -1.352136 0.780017 -0.555624 -0.287847 0.637199 0.357339 +0.062177 0.790061 -1.548939 0.582972 0.330500 -0.742235 0.680852 0.347958 +0.032314 0.787490 -1.573539 0.582972 0.330500 -0.742235 0.665965 0.319062 +0.082036 0.881297 -1.492716 0.582972 0.330500 -0.742235 0.639730 0.396926 +0.044385 0.878195 -1.529981 0.671464 0.246273 -0.698918 0.620882 0.360539 +0.082036 0.881297 -1.492716 0.671464 0.246273 -0.698918 0.639730 0.396926 +0.032314 0.787490 -1.573539 0.671464 0.246273 -0.698918 0.665965 0.319062 +0.091171 0.790433 -1.508123 0.922421 -0.053866 -0.382412 0.602225 0.305092 +0.119215 0.879041 -1.452959 0.922421 -0.053866 -0.382412 0.567083 0.360872 +0.111725 0.786106 -1.457935 0.922421 -0.053866 -0.382412 0.615946 0.322955 +0.154512 0.867532 -1.402559 0.814869 -0.034693 -0.578606 0.592970 0.390192 +0.111725 0.786106 -1.457935 0.814869 -0.034693 -0.578606 0.615946 0.322955 +0.119215 0.879041 -1.452959 0.814869 -0.034693 -0.578606 0.567083 0.360872 +0.161549 0.634034 -1.276360 0.482785 -0.875733 0.003043 0.741925 0.281149 +0.201473 0.656278 -1.208949 0.482785 -0.875733 0.003043 0.748843 0.235863 +0.155468 0.630819 -1.236804 0.482785 -0.875733 0.003043 0.740771 0.287994 +0.134085 0.661652 -1.124052 0.312879 -0.899394 0.305283 0.712021 0.299286 +0.155468 0.630819 -1.236804 0.312879 -0.899394 0.305283 0.740771 0.287994 +0.201473 0.656278 -1.208949 0.312879 -0.899394 0.305283 0.748843 0.235863 +0.084065 0.641995 -1.085169 0.442324 -0.896523 -0.024415 0.698542 0.353534 +0.093092 0.644095 -0.998740 0.442324 -0.896523 -0.024415 0.701822 0.344182 +0.044879 0.622145 -1.066202 0.442324 -0.896523 -0.024415 0.690590 0.397382 +0.045699 0.606911 -0.984531 0.580655 -0.799275 -0.154918 0.699925 0.401211 +0.044879 0.622145 -1.066202 0.580655 -0.799275 -0.154918 0.690590 0.397382 +0.093092 0.644095 -0.998740 0.580655 -0.799275 -0.154918 0.701822 0.344182 +0.216812 1.004349 -1.256261 0.899942 -0.340537 -0.272284 0.408385 0.598519 +0.239514 1.048406 -1.236328 0.899942 -0.340537 -0.272284 0.435894 0.624920 +0.231478 0.999141 -1.201274 0.899942 -0.340537 -0.272284 0.423894 0.593478 +0.244883 1.045580 -1.193270 0.957843 -0.253041 -0.136043 0.441509 0.622471 +0.231478 0.999141 -1.201274 0.957843 -0.253041 -0.136043 0.423894 0.593478 +0.239514 1.048406 -1.236328 0.957843 -0.253041 -0.136043 0.435894 0.624920 +0.190128 0.840066 -1.294682 0.936754 -0.152546 -0.314995 0.511766 0.382411 +0.203642 0.795930 -1.233119 0.936754 -0.152546 -0.314995 0.544319 0.380433 +0.156650 0.761539 -1.356212 0.936754 -0.152546 -0.314995 0.538187 0.324878 +0.181027 0.684930 -1.327258 0.910607 0.143243 -0.387654 0.595195 0.322310 +0.156650 0.761539 -1.356212 0.910607 0.143243 -0.387654 0.538187 0.324878 +0.203642 0.795930 -1.233119 0.910607 0.143243 -0.387654 0.544319 0.380433 +0.128445 0.627141 -1.442977 0.936820 -0.315122 -0.151879 0.729422 0.315197 +0.118962 0.596255 -1.437387 0.936820 -0.315122 -0.151879 0.742778 0.333718 +0.125944 0.642916 -1.491134 0.936820 -0.315122 -0.151879 0.718930 0.312826 +0.115440 0.619527 -1.495687 0.907539 -0.368285 -0.201837 0.727384 0.330060 +0.125944 0.642916 -1.491134 0.907539 -0.368285 -0.201837 0.718930 0.312826 +0.118962 0.596255 -1.437387 0.907539 -0.368285 -0.201837 0.742778 0.333718 +0.070074 0.663809 -1.244802 0.053226 0.767574 -0.638746 0.584480 0.290208 +0.054464 0.623404 -1.294657 0.053226 0.767574 -0.638746 0.600352 0.317530 +0.036703 0.673595 -1.235823 0.053226 0.767574 -0.638746 0.562071 0.319455 +0.025433 0.627061 -1.305227 0.302214 0.768324 -0.564220 0.583703 0.344447 +0.036703 0.673595 -1.235823 0.302214 0.768324 -0.564220 0.562071 0.319455 +0.054464 0.623404 -1.294657 0.302214 0.768324 -0.564220 0.600352 0.317530 +0.119194 0.660955 -1.324339 -0.867945 -0.473175 0.150917 0.704988 0.313872 +0.139083 0.623711 -1.326727 -0.867945 -0.473175 0.150917 0.736747 0.305968 +0.118120 0.677453 -1.278789 -0.867945 -0.473175 0.150917 0.694785 0.309906 +0.138638 0.637077 -1.308886 -0.589403 -0.653513 0.474894 0.728694 0.302344 +0.118120 0.677453 -1.278789 -0.589403 -0.653513 0.474894 0.694785 0.309906 +0.139083 0.623711 -1.326727 -0.589403 -0.653513 0.474894 0.736747 0.305968 +0.069671 0.690989 -1.278198 -0.217682 -0.880611 0.420880 0.662646 0.352570 +0.037356 0.701558 -1.272798 -0.217682 -0.880611 0.420880 0.640305 0.380560 +0.068040 0.667823 -1.327512 -0.217682 -0.880611 0.420880 0.675403 0.361171 +0.035488 0.670332 -1.329960 -0.103226 -0.871483 0.479439 0.657666 0.391833 +0.068040 0.667823 -1.327512 -0.103226 -0.871483 0.479439 0.675403 0.361171 +0.037356 0.701558 -1.272798 -0.103226 -0.871483 0.479439 0.640305 0.380560 +0.100389 0.653954 -1.255747 -0.800278 -0.118633 -0.587776 0.699693 0.334149 +0.103226 0.674458 -1.263748 -0.800278 -0.118633 -0.587776 0.689098 0.325192 +0.129485 0.638544 -1.292252 -0.800278 -0.118633 -0.587776 0.723260 0.310734 +0.134660 0.641700 -1.297916 -0.737404 -0.003081 -0.675445 0.723997 0.304781 +0.129485 0.638544 -1.292252 -0.737404 -0.003081 -0.675445 0.723260 0.310734 +0.103226 0.674458 -1.263748 -0.737404 -0.003081 -0.675445 0.689098 0.325192 +0.081666 0.623371 -1.289704 -0.278557 0.784967 -0.553383 0.708254 0.361498 +0.100389 0.653954 -1.255747 -0.278557 0.784967 -0.553383 0.699693 0.334149 +0.129485 0.638544 -1.292252 -0.278557 0.784967 -0.553383 0.723260 0.310734 +0.181027 0.684930 -1.327258 0.928180 0.111894 -0.354912 0.625544 0.325152 +0.203642 0.795930 -1.233119 0.928180 0.111894 -0.354912 0.571813 0.269657 +0.198106 0.684246 -1.282808 0.928180 0.111894 -0.354912 0.634479 0.308872 +0.217239 0.685585 -1.235284 0.919684 0.120657 -0.373662 0.643255 0.289996 +0.198106 0.684246 -1.282808 0.919684 0.120657 -0.373662 0.634479 0.308872 +0.203642 0.795930 -1.233119 0.919684 0.120657 -0.373662 0.571813 0.269657 +0.143894 0.636116 -1.296556 -0.366940 -0.743093 -0.559615 0.731883 0.297560 +0.141154 0.632284 -1.289671 -0.366940 -0.743093 -0.559615 0.732759 0.301368 +0.134660 0.641700 -1.297916 -0.366940 -0.743093 -0.559615 0.723997 0.304781 +0.129485 0.638544 -1.292252 -0.250892 -0.729854 -0.635898 0.723260 0.310734 +0.134660 0.641700 -1.297916 -0.250892 -0.729854 -0.635898 0.723997 0.304781 +0.141154 0.632284 -1.289671 -0.250892 -0.729854 -0.635898 0.732759 0.301368 +0.115440 0.619527 -1.495687 0.675206 -0.670117 -0.308285 0.727384 0.330060 +0.118962 0.596255 -1.437387 0.675206 -0.670117 -0.308285 0.742778 0.333718 +0.089667 0.594454 -1.497634 0.675206 -0.670117 -0.308285 0.612836 0.330445 +0.091568 0.580916 -1.447681 0.541243 -0.806162 -0.239079 0.621718 0.332715 +0.089667 0.594454 -1.497634 0.541243 -0.806162 -0.239079 0.612836 0.330445 +0.118962 0.596255 -1.437387 0.541243 -0.806162 -0.239079 0.742778 0.333718 +0.024041 0.579481 -1.503406 0.080960 -0.986831 -0.140039 0.610882 0.360220 +0.060899 0.582180 -1.501117 0.080960 -0.986831 -0.140039 0.511362 0.291722 +0.032725 0.575474 -1.470149 0.080960 -0.986831 -0.140039 0.617570 0.353052 +0.062696 0.576113 -1.462112 0.062908 -0.985717 -0.156221 0.515814 0.291827 +0.032725 0.575474 -1.470149 0.062908 -0.985717 -0.156221 0.617570 0.353052 +0.060899 0.582180 -1.501117 0.062908 -0.985717 -0.156221 0.511362 0.291722 +0.013712 0.533006 -1.402167 0.269372 0.214695 -0.938800 0.610882 0.422403 +0.013895 0.548833 -1.398495 0.269372 0.214695 -0.938800 0.601701 0.417426 +0.042243 0.536856 -1.393100 0.269372 0.214695 -0.938800 0.622883 0.393693 +0.039635 0.554379 -1.391853 0.227709 0.102800 -0.968288 0.611314 0.390897 +0.042243 0.536856 -1.393100 0.227709 0.102800 -0.968288 0.622883 0.393693 +0.013895 0.548833 -1.398495 0.227709 0.102800 -0.968288 0.601701 0.417426 +0.072713 0.548504 -1.377240 0.493837 -0.096679 -0.864163 0.631285 0.360747 +0.071629 0.565028 -1.379708 0.493837 -0.096679 -0.864163 0.621062 0.356782 +0.088895 0.574027 -1.370848 0.493837 -0.096679 -0.864163 0.624418 0.337385 +0.096465 0.564166 -1.343108 0.792920 -0.523699 -0.311476 0.633979 0.333068 +0.072713 0.548504 -1.377240 0.792920 -0.523699 -0.311476 0.631285 0.360747 +0.101575 0.577932 -1.353245 0.792920 -0.523699 -0.311476 0.628466 0.323960 +0.088895 0.574027 -1.370848 0.788742 -0.378832 -0.484119 0.624418 0.337385 +0.101575 0.577932 -1.353245 0.788742 -0.378832 -0.484119 0.628466 0.323960 +0.072713 0.548504 -1.377240 0.788742 -0.378832 -0.484119 0.631285 0.360747 +0.079852 0.553916 -1.324992 0.665156 -0.718447 0.203473 0.631682 0.352214 +0.096465 0.564166 -1.343108 0.665156 -0.718447 0.203473 0.633979 0.333068 +0.083975 0.566737 -1.293200 0.665156 -0.718447 0.203473 0.626231 0.344345 +0.107871 0.578042 -1.323799 0.609881 -0.768824 0.192235 0.631549 0.317849 +0.083975 0.566737 -1.293200 0.609881 -0.768824 0.192235 0.626231 0.344345 +0.096465 0.564166 -1.343108 0.609881 -0.768824 0.192235 0.633979 0.333068 +0.023249 0.541154 -1.315241 0.167409 -0.910690 0.377648 0.610874 0.410726 +0.055126 0.544940 -1.320242 0.167409 -0.910690 0.377648 0.624585 0.378805 +0.026260 0.556299 -1.280054 0.167409 -0.910690 0.377648 0.603506 0.403225 +0.061988 0.560729 -1.284424 0.158937 -0.914288 0.372580 0.618764 0.367392 +0.026260 0.556299 -1.280054 0.158937 -0.914288 0.372580 0.603506 0.403225 +0.055126 0.544940 -1.320242 0.158937 -0.914288 0.372580 0.624585 0.378805 +0.013895 0.548833 -1.398495 0.017491 0.733092 -0.679905 0.507410 0.347210 +0.019013 0.580399 -1.364328 0.017491 0.733092 -0.679905 0.607832 0.364796 +0.039635 0.554379 -1.391853 0.017491 0.733092 -0.679905 0.517024 0.320681 +0.044892 0.584637 -1.348548 0.222706 0.786238 -0.576395 0.501923 0.306429 +0.039635 0.554379 -1.391853 0.222706 0.786238 -0.576395 0.517024 0.320681 +0.019013 0.580399 -1.364328 0.222706 0.786238 -0.576395 0.607832 0.364796 +0.071629 0.565028 -1.379708 -0.174795 0.840423 -0.512967 0.621062 0.356782 +0.074056 0.590221 -1.339260 -0.174795 0.840423 -0.512967 0.607515 0.346799 +0.088895 0.574027 -1.370848 -0.174795 0.840423 -0.512967 0.624418 0.337385 +0.111616 0.608226 -1.327029 -0.222514 0.821171 -0.525514 0.615736 0.305079 +0.088895 0.574027 -1.370848 -0.222514 0.821171 -0.525514 0.624418 0.337385 +0.074056 0.590221 -1.339260 -0.222514 0.821171 -0.525514 0.607515 0.346799 +0.088895 0.574027 -1.370848 0.751373 0.271450 -0.601459 0.624418 0.337385 +0.111616 0.608226 -1.327029 0.751373 0.271450 -0.601459 0.615736 0.305079 +0.101575 0.577932 -1.353245 0.751373 0.271450 -0.601459 0.628466 0.323960 +0.127010 0.615782 -1.303758 0.765661 0.256648 -0.589826 0.735359 0.320026 +0.101575 0.577932 -1.353245 0.765661 0.256648 -0.589826 0.628466 0.323960 +0.111616 0.608226 -1.327029 0.765661 0.256648 -0.589826 0.615736 0.305079 +0.107871 0.578042 -1.323799 0.632136 -0.743246 0.219064 0.631549 0.317849 +0.139402 0.619443 -1.274319 0.632136 -0.743246 0.219064 0.739407 0.306953 +0.083975 0.566737 -1.293200 0.632136 -0.743246 0.219064 0.626231 0.344345 +0.106292 0.609168 -1.214490 0.631233 -0.743236 0.221688 0.612523 0.309934 +0.083975 0.566737 -1.293200 0.631233 -0.743236 0.221688 0.626231 0.344345 +0.139402 0.619443 -1.274319 0.631233 -0.743236 0.221688 0.739407 0.306953 +0.061988 0.560729 -1.284424 0.161423 -0.897917 0.409498 0.618764 0.367392 +0.072683 0.602534 -1.196973 0.161423 -0.897917 0.409498 0.599615 0.344390 +0.026260 0.556299 -1.280054 0.161423 -0.897917 0.409498 0.603506 0.403225 +0.028430 0.592604 -1.191998 0.242713 -0.898954 0.364653 0.583320 0.390121 +0.026260 0.556299 -1.280054 0.242713 -0.898954 0.364653 0.603506 0.403225 +0.072683 0.602534 -1.196973 0.242713 -0.898954 0.364653 0.599615 0.344390 +0.148298 1.172147 -1.343492 0.185774 0.855449 -0.483420 0.294191 0.478332 +0.085390 1.181174 -1.351693 0.185774 0.855449 -0.483420 0.362719 0.474411 +0.147323 1.206186 -1.283632 0.185774 0.855449 -0.483420 0.295917 0.455918 +0.085375 1.217723 -1.291375 0.218631 0.834578 -0.505648 0.363452 0.450309 +0.147323 1.206186 -1.283632 0.218631 0.834578 -0.505648 0.295917 0.455918 +0.085390 1.181174 -1.351693 0.218631 0.834578 -0.505648 0.362719 0.474411 +0.178512 0.860294 -1.354269 0.901656 -0.324454 -0.285913 0.588168 0.448441 +0.190128 0.840066 -1.294682 0.901656 -0.324454 -0.285913 0.606056 0.452627 +0.131509 0.777987 -1.409096 0.901656 -0.324454 -0.285913 0.609338 0.376953 +0.156650 0.761539 -1.356212 0.897717 -0.038851 -0.438857 0.632477 0.395094 +0.131509 0.777987 -1.409096 0.897717 -0.038851 -0.438857 0.609338 0.376953 +0.190128 0.840066 -1.294682 0.897717 -0.038851 -0.438857 0.606056 0.452627 +0.115440 0.619527 -1.495687 0.872713 -0.320185 -0.368584 0.727384 0.330060 +0.107044 0.649263 -1.541398 0.872713 -0.320185 -0.368584 0.705767 0.329147 +0.125944 0.642916 -1.491134 0.872713 -0.320185 -0.368584 0.718930 0.312826 +0.114816 0.668639 -1.528464 0.922922 -0.127773 -0.363166 0.698299 0.315768 +0.125944 0.642916 -1.491134 0.922922 -0.127773 -0.363166 0.718930 0.312826 +0.107044 0.649263 -1.541398 0.922922 -0.127773 -0.363166 0.705767 0.329147 +0.107044 0.649263 -1.541398 0.715775 -0.517942 -0.468403 0.705767 0.329147 +0.115440 0.619527 -1.495687 0.715775 -0.517942 -0.468403 0.727384 0.330060 +0.085495 0.622349 -1.544567 0.715775 -0.517942 -0.468403 0.710766 0.358111 +0.089667 0.594454 -1.497634 0.645492 -0.629981 -0.431815 0.612836 0.330445 +0.085495 0.622349 -1.544567 0.645492 -0.629981 -0.431815 0.710766 0.358111 +0.115440 0.619527 -1.495687 0.645492 -0.629981 -0.431815 0.727384 0.330060 +0.057574 0.610821 -1.545277 0.031986 -0.837460 -0.545562 0.609278 0.318345 +0.060899 0.582180 -1.501117 0.031986 -0.837460 -0.545562 0.511362 0.291722 +0.017220 0.609926 -1.546269 0.031986 -0.837460 -0.545562 0.589638 0.357572 +0.024041 0.579481 -1.503406 0.095323 -0.804337 -0.586478 0.610882 0.360220 +0.017220 0.609926 -1.546269 0.095323 -0.804337 -0.586478 0.589638 0.357572 +0.060899 0.582180 -1.501117 0.095323 -0.804337 -0.586478 0.511362 0.291722 +0.063836 1.256372 -1.006456 0.343047 0.715738 -0.608308 0.387611 0.425519 +0.077967 1.301869 -0.944955 0.343047 0.715738 -0.608308 0.373150 0.395061 +0.155712 1.208942 -1.010450 0.343047 0.715738 -0.608308 0.286856 0.453830 +0.163891 1.230911 -0.925097 0.650327 0.718308 -0.247203 0.278400 0.439079 +0.155712 1.208942 -1.010450 0.650327 0.718308 -0.247203 0.286856 0.453830 +0.077967 1.301869 -0.944955 0.650327 0.718308 -0.247203 0.373150 0.395061 +0.047971 0.980232 -1.490109 0.466818 0.190174 -0.863664 0.401876 0.480095 +0.052737 1.004878 -1.482106 0.466818 0.190174 -0.863664 0.393248 0.494818 +0.115076 0.963420 -1.457540 0.466818 0.190174 -0.863664 0.458889 0.526929 +0.111983 0.988007 -1.455975 0.427322 0.110868 -0.897276 0.444578 0.535271 +0.115076 0.963420 -1.457540 0.427322 0.110868 -0.897276 0.458889 0.526929 +0.052737 1.004878 -1.482106 0.427322 0.110868 -0.897276 0.393248 0.494818 +0.250557 1.103714 -0.893329 0.905844 0.253394 -0.339468 0.234988 0.519878 +0.241437 1.025889 -0.975757 0.905844 0.253394 -0.339468 0.281628 0.543521 +0.194389 1.135778 -1.019275 0.905844 0.253394 -0.339468 0.255705 0.458673 +0.233524 1.070262 -1.041313 0.869276 0.451699 0.200815 0.263774 0.518779 +0.194389 1.135778 -1.019275 0.869276 0.451699 0.200815 0.255705 0.458673 +0.241437 1.025889 -0.975757 0.869276 0.451699 0.200815 0.281628 0.543521 +0.187896 0.952735 -1.370655 0.670459 0.055234 -0.739888 0.517048 0.581084 +0.183244 0.941167 -1.375734 0.670459 0.055234 -0.739888 0.519343 0.572222 +0.162490 0.950832 -1.393819 0.670459 0.055234 -0.739888 0.499520 0.559707 +0.147895 0.938309 -1.405185 0.641735 -0.053540 -0.765056 0.495058 0.542385 +0.162490 0.950832 -1.393819 0.641735 -0.053540 -0.765056 0.499520 0.559707 +0.183244 0.941167 -1.375734 0.641735 -0.053540 -0.765056 0.519343 0.572222 +0.190478 0.930004 -1.297658 0.865087 -0.321623 -0.384945 0.530077 0.573147 +0.204202 0.942053 -1.276883 0.865087 -0.321623 -0.384945 0.534139 0.589556 +0.220566 0.913999 -1.216669 0.865087 -0.321623 -0.384945 0.559794 0.590412 +0.224168 0.939482 -1.213435 0.948391 -0.095689 -0.302320 0.549908 0.604563 +0.220566 0.913999 -1.216669 0.948391 -0.095689 -0.302320 0.559794 0.590412 +0.204202 0.942053 -1.276883 0.948391 -0.095689 -0.302320 0.534139 0.589556 +0.198484 0.937192 -1.333706 0.762188 -0.646091 0.040445 0.532368 0.582789 +0.208750 0.949713 -1.327152 0.762188 -0.646091 0.040445 0.533685 0.596611 +0.190478 0.930004 -1.297658 0.762188 -0.646091 0.040445 0.530077 0.573147 +0.204202 0.942053 -1.276883 0.697393 -0.715218 -0.045889 0.534139 0.589556 +0.190478 0.930004 -1.297658 0.697393 -0.715218 -0.045889 0.530077 0.573147 +0.208750 0.949713 -1.327152 0.697393 -0.715218 -0.045889 0.533685 0.596611 +0.022198 0.731314 -1.613117 0.289686 0.515843 -0.806218 0.615297 0.386169 +0.032314 0.787490 -1.573539 0.289686 0.515843 -0.806218 0.587441 0.359367 +0.053269 0.738356 -1.597447 0.289686 0.515843 -0.806218 0.626698 0.354039 +0.062177 0.790061 -1.548939 0.505941 0.542204 -0.670849 0.600857 0.329759 +0.053269 0.738356 -1.597447 0.505941 0.542204 -0.670849 0.626698 0.354039 +0.032314 0.787490 -1.573539 0.505941 0.542204 -0.670849 0.587441 0.359367 +0.086377 0.743683 -1.560745 0.784992 0.425898 -0.449888 0.640121 0.320463 +0.091171 0.790433 -1.508123 0.784992 0.425898 -0.449888 0.615128 0.301657 +0.107095 0.746441 -1.521984 0.784992 0.425898 -0.449888 0.648858 0.299626 +0.111725 0.786106 -1.457935 0.856180 0.409277 -0.315354 0.627934 0.283127 +0.107095 0.746441 -1.521984 0.856180 0.409277 -0.315354 0.648858 0.299626 +0.091171 0.790433 -1.508123 0.856180 0.409277 -0.315354 0.615128 0.301657 +0.156650 0.761539 -1.356212 0.908173 0.191689 -0.372125 0.664776 0.247210 +0.135294 0.717779 -1.430873 0.908173 0.191689 -0.372125 0.679742 0.281096 +0.131509 0.777987 -1.409096 0.908173 0.191689 -0.372125 0.642576 0.266491 +0.120670 0.732980 -1.476615 0.954962 0.152172 -0.254738 0.663528 0.290604 +0.131509 0.777987 -1.409096 0.954962 0.152172 -0.254738 0.642576 0.266491 +0.135294 0.717779 -1.430873 0.954962 0.152172 -0.254738 0.679742 0.281096 +0.135294 0.717779 -1.430873 0.948599 0.065377 -0.309655 0.679742 0.281096 +0.156650 0.761539 -1.356212 0.948599 0.065377 -0.309655 0.664776 0.247210 +0.154497 0.678829 -1.380270 0.948599 0.065377 -0.309655 0.712157 0.274371 +0.181027 0.684930 -1.327258 0.883815 0.109307 -0.454887 0.721840 0.246911 +0.154497 0.678829 -1.380270 0.883815 0.109307 -0.454887 0.712157 0.274371 +0.156650 0.761539 -1.356212 0.883815 0.109307 -0.454887 0.664776 0.247210 +0.160675 0.631884 -1.327495 0.639243 -0.753651 0.152899 0.742748 0.282645 +0.145445 0.619138 -1.326647 0.639243 -0.753651 0.152899 0.742606 0.301213 +0.158337 0.622466 -1.364142 0.639243 -0.753651 0.152899 0.747097 0.287758 +0.139376 0.611108 -1.362009 0.519657 -0.848095 0.103399 0.744277 0.309506 +0.158337 0.622466 -1.364142 0.519657 -0.848095 0.103399 0.747097 0.287758 +0.145445 0.619138 -1.326647 0.519657 -0.848095 0.103399 0.742606 0.301213 +0.043526 0.920470 -1.502736 0.461099 0.320607 -0.827405 0.427967 0.450144 +0.045040 0.950779 -1.490148 0.461099 0.320607 -0.827405 0.414197 0.464736 +0.095598 0.916070 -1.475422 0.461099 0.320607 -0.827405 0.467966 0.490300 +0.108948 0.939119 -1.462815 0.418283 0.237294 -0.876773 0.466359 0.511257 +0.095598 0.916070 -1.475422 0.418283 0.237294 -0.876773 0.467966 0.490300 +0.045040 0.950779 -1.490148 0.418283 0.237294 -0.876773 0.414197 0.464736 +0.130130 0.909236 -1.431816 0.829447 0.110780 -0.547491 0.496412 0.515202 +0.138628 0.925182 -1.415715 0.829447 0.110780 -0.547491 0.494764 0.529105 +0.161729 0.896266 -1.386568 0.829447 0.110780 -0.547491 0.525738 0.535027 +0.145069 0.918884 -1.397383 0.822914 0.559861 -0.096791 0.502535 0.531534 +0.161729 0.896266 -1.386568 0.822914 0.559861 -0.096791 0.525738 0.535027 +0.138628 0.925182 -1.415715 0.822914 0.559861 -0.096791 0.494764 0.529105 +0.191269 0.896540 -1.311910 0.959402 0.129407 -0.250602 0.547070 0.559028 +0.190478 0.930004 -1.297658 0.959402 0.129407 -0.250602 0.530077 0.573147 +0.216387 0.880489 -1.224037 0.959402 0.129407 -0.250602 0.573198 0.572254 +0.220566 0.913999 -1.216669 0.934197 -0.038518 -0.354673 0.559794 0.590412 +0.216387 0.880489 -1.224037 0.934197 -0.038518 -0.354673 0.573198 0.572254 +0.190478 0.930004 -1.297658 0.934197 -0.038518 -0.354673 0.530077 0.573147 +0.261829 0.862849 -0.969024 0.981455 -0.076599 -0.175726 0.646386 0.456732 +0.255171 0.812184 -0.984125 0.981455 -0.076599 -0.175726 0.621799 0.432962 +0.241338 0.904321 -1.101547 0.981455 -0.076599 -0.175726 0.643065 0.491855 +0.244821 0.861905 -1.124264 0.994119 0.101641 -0.037359 0.630667 0.466486 +0.241338 0.904321 -1.101547 0.994119 0.101641 -0.037359 0.643065 0.491855 +0.255171 0.812184 -0.984125 0.994119 0.101641 -0.037359 0.621799 0.432962 +0.255500 0.759849 -0.909942 0.946809 -0.260955 -0.188298 0.602915 0.404055 +0.255171 0.812184 -0.984125 0.946809 -0.260955 -0.188298 0.621799 0.432962 +0.275470 0.839500 -0.919913 0.946809 -0.260955 -0.188298 0.650157 0.435687 +0.261829 0.862849 -0.969024 0.957553 -0.040781 -0.285357 0.646386 0.456732 +0.275470 0.839500 -0.919913 0.957553 -0.040781 -0.285357 0.650157 0.435687 +0.255171 0.812184 -0.984125 0.957553 -0.040781 -0.285357 0.621799 0.432962 +0.044385 0.878195 -1.529981 0.614633 0.436100 -0.657300 0.620882 0.360539 +0.043526 0.920470 -1.502736 0.614633 0.436100 -0.657300 0.596319 0.373781 +0.082036 0.881297 -1.492716 0.614633 0.436100 -0.657300 0.639730 0.396926 +0.095598 0.916070 -1.475422 0.466709 0.241160 -0.850897 0.627339 0.421217 +0.082036 0.881297 -1.492716 0.466709 0.241160 -0.850897 0.639730 0.396926 +0.043526 0.920470 -1.502736 0.466709 0.241160 -0.850897 0.596319 0.373781 +0.119215 0.879041 -1.452959 0.825369 0.091726 -0.557092 0.503295 0.493061 +0.130130 0.909236 -1.431816 0.825369 0.091726 -0.557092 0.496412 0.515202 +0.154512 0.867532 -1.402559 0.825369 0.091726 -0.557092 0.534591 0.516520 +0.161729 0.896266 -1.386568 0.828902 0.098281 -0.550693 0.525738 0.535027 +0.154512 0.867532 -1.402559 0.828902 0.098281 -0.550693 0.534591 0.516520 +0.130130 0.909236 -1.431816 0.828902 0.098281 -0.550693 0.496412 0.515202 +0.190128 0.840066 -1.294682 0.971940 -0.086383 -0.218796 0.573948 0.533199 +0.178512 0.860294 -1.354269 0.971940 -0.086383 -0.218796 0.555583 0.532730 +0.191269 0.896540 -1.311910 0.971940 -0.086383 -0.218796 0.547070 0.559028 +0.179262 0.883960 -1.351104 0.955262 0.009262 -0.295615 0.544517 0.543774 +0.191269 0.896540 -1.311910 0.955262 0.009262 -0.295615 0.547070 0.559028 +0.178512 0.860294 -1.354269 0.955262 0.009262 -0.295615 0.555583 0.532730 +0.191269 0.896540 -1.311910 0.950463 -0.108108 -0.291432 0.594959 0.517824 +0.216387 0.880489 -1.224037 0.950463 -0.108108 -0.291432 0.611778 0.493851 +0.190128 0.840066 -1.294682 0.950463 -0.108108 -0.291432 0.573230 0.487535 +0.203642 0.795930 -1.233119 0.950681 -0.112234 -0.289152 0.569268 0.455163 +0.190128 0.840066 -1.294682 0.950681 -0.112234 -0.289152 0.573230 0.487535 +0.216387 0.880489 -1.224037 0.950681 -0.112234 -0.289152 0.611778 0.493851 +0.250596 0.812148 -1.151253 0.992943 0.059645 0.102504 0.617651 0.435704 +0.244821 0.861905 -1.124264 0.992943 0.059645 0.102504 0.630667 0.466486 +0.240419 0.777716 -1.032634 0.992943 0.059645 0.102504 0.595833 0.422963 +0.255171 0.812184 -0.984125 0.967019 -0.209002 -0.145573 0.621799 0.432962 +0.240419 0.777716 -1.032634 0.967019 -0.209002 -0.145573 0.595833 0.422963 +0.244821 0.861905 -1.124264 0.967019 -0.209002 -0.145573 0.630667 0.466486 +0.255171 0.812184 -0.984125 0.967450 -0.204741 -0.148732 0.588039 0.214984 +0.255500 0.759849 -0.909942 0.967450 -0.204741 -0.148732 0.618865 0.230539 +0.240419 0.777716 -1.032634 0.967450 -0.204741 -0.148732 0.600861 0.239679 +0.198022 0.698088 -0.974045 0.806585 -0.562697 -0.181086 0.626327 0.304755 +0.240419 0.777716 -1.032634 0.806585 -0.562697 -0.181086 0.600861 0.239679 +0.255500 0.759849 -0.909942 0.806585 -0.562697 -0.181086 0.618865 0.230539 +0.045040 0.950779 -1.490148 0.387199 -0.037313 -0.921241 0.414197 0.464736 +0.047971 0.980232 -1.490109 0.387199 -0.037313 -0.921241 0.401876 0.480095 +0.108948 0.939119 -1.462815 0.387199 -0.037313 -0.921241 0.466359 0.511257 +0.115076 0.963420 -1.457540 0.451245 0.079159 -0.888883 0.458889 0.526929 +0.108948 0.939119 -1.462815 0.451245 0.079159 -0.888883 0.466359 0.511257 +0.047971 0.980232 -1.490109 0.451245 0.079159 -0.888883 0.401876 0.480095 +0.183244 0.941167 -1.375734 0.612196 -0.369780 -0.698913 0.519343 0.572222 +0.145069 0.918884 -1.397383 0.612196 -0.369780 -0.698913 0.502535 0.531534 +0.147895 0.938309 -1.405185 0.612196 -0.369780 -0.698913 0.495058 0.542385 +0.138628 0.925182 -1.415715 0.867990 -0.288589 -0.404116 0.494764 0.529105 +0.147895 0.938309 -1.405185 0.867990 -0.288589 -0.404116 0.495058 0.542385 +0.145069 0.918884 -1.397383 0.867990 -0.288589 -0.404116 0.502535 0.531534 +0.082590 1.230108 -1.177560 0.185800 0.979433 0.078668 0.366720 0.442233 +0.063677 1.226234 -1.084658 0.185800 0.979433 0.078668 0.387195 0.445398 +0.149037 1.217860 -1.182005 0.185800 0.979433 0.078668 0.294283 0.448165 +0.140954 1.195292 -1.081044 0.352338 0.906932 0.230936 0.302624 0.463307 +0.149037 1.217860 -1.182005 0.352338 0.906932 0.230936 0.294283 0.448165 +0.063677 1.226234 -1.084658 0.352338 0.906932 0.230936 0.387195 0.445398 +0.232935 1.172981 -1.184636 0.823757 0.486887 0.290458 0.210628 0.476731 +0.212058 1.151285 -1.089059 0.823757 0.486887 0.290458 0.235848 0.467576 +0.262478 1.120451 -1.180367 0.823757 0.486887 0.290458 0.218321 0.523347 +0.243257 1.101869 -1.109294 0.852522 0.400912 0.335375 0.240814 0.514355 +0.262478 1.120451 -1.180367 0.852522 0.400912 0.335375 0.218321 0.523347 +0.212058 1.151285 -1.089059 0.852522 0.400912 0.335375 0.235848 0.467576 +0.224168 0.939482 -1.213435 0.978050 -0.116306 -0.172892 0.549908 0.604563 +0.247080 0.947536 -1.089240 0.978050 -0.116306 -0.172892 0.562607 0.626637 +0.220566 0.913999 -1.216669 0.978050 -0.116306 -0.172892 0.559794 0.590412 +0.241338 0.904321 -1.101547 0.979945 -0.077984 -0.183372 0.579637 0.602936 +0.220566 0.913999 -1.216669 0.979945 -0.077984 -0.183372 0.559794 0.590412 +0.247080 0.947536 -1.089240 0.979945 -0.077984 -0.183372 0.562607 0.626637 +0.216387 0.880489 -1.224037 0.957290 -0.057060 -0.283443 0.573198 0.572254 +0.220566 0.913999 -1.216669 0.957290 -0.057060 -0.283443 0.559794 0.590412 +0.244821 0.861905 -1.124264 0.957290 -0.057060 -0.283443 0.602978 0.587045 +0.241338 0.904321 -1.101547 0.972740 0.166387 -0.161528 0.579637 0.602936 +0.244821 0.861905 -1.124264 0.972740 0.166387 -0.161528 0.602978 0.587045 +0.220566 0.913999 -1.216669 0.972740 0.166387 -0.161528 0.559794 0.590412 +0.203642 0.795930 -1.233119 0.871419 -0.079351 -0.484080 0.569268 0.455163 +0.216387 0.880489 -1.224037 0.871419 -0.079351 -0.484080 0.611778 0.493851 +0.250596 0.812148 -1.151253 0.871419 -0.079351 -0.484080 0.617651 0.435704 +0.244821 0.861905 -1.124264 0.945908 0.232514 -0.226263 0.630667 0.466486 +0.250596 0.812148 -1.151253 0.945908 0.232514 -0.226263 0.617651 0.435704 +0.216387 0.880489 -1.224037 0.945908 0.232514 -0.226263 0.611778 0.493851 +0.138638 0.637077 -1.308886 -0.925633 -0.321022 -0.200371 0.728694 0.302344 +0.134660 0.641700 -1.297916 -0.925633 -0.321022 -0.200371 0.723997 0.304781 +0.118120 0.677453 -1.278789 -0.925633 -0.321022 -0.200371 0.694785 0.309906 +0.103226 0.674458 -1.263748 -0.714203 0.043329 -0.698596 0.689098 0.325192 +0.118120 0.677453 -1.278789 -0.714203 0.043329 -0.698596 0.694785 0.309906 +0.134660 0.641700 -1.297916 -0.714203 0.043329 -0.698596 0.723997 0.304781 +0.069671 0.690989 -1.278198 -0.326539 -0.937682 -0.118846 0.662646 0.352570 +0.070992 0.686623 -1.247380 -0.326539 -0.937682 -0.118846 0.665863 0.352619 +0.037356 0.701558 -1.272798 -0.326539 -0.937682 -0.118846 0.640305 0.380560 +0.036792 0.697304 -1.238117 -0.325494 -0.937856 -0.120331 0.642516 0.382395 +0.037356 0.701558 -1.272798 -0.325494 -0.937856 -0.120331 0.640305 0.380560 +0.070992 0.686623 -1.247380 -0.325494 -0.937856 -0.120331 0.665863 0.352619 +0.021073 0.670898 -1.614909 0.291508 -0.116819 -0.949408 0.650131 0.405577 +0.020583 0.702387 -1.618934 0.291508 -0.116819 -0.949408 0.631438 0.396500 +0.049598 0.680832 -1.607373 0.291508 -0.116819 -0.949408 0.658565 0.375028 +0.049203 0.712284 -1.606319 0.392707 0.035729 -0.918969 0.639941 0.365871 +0.049598 0.680832 -1.607373 0.392707 0.035729 -0.918969 0.658565 0.375028 +0.020583 0.702387 -1.618934 0.392707 0.035729 -0.918969 0.631438 0.396500 +0.078161 0.717670 -1.582310 0.750381 0.256156 -0.609355 0.651256 0.336283 +0.108763 0.725267 -1.541432 0.750381 0.256156 -0.609355 0.662097 0.304437 +0.082730 0.687034 -1.589562 0.750381 0.256156 -0.609355 0.671488 0.341164 +0.107642 0.689610 -1.558038 0.746821 0.261320 -0.611531 0.682427 0.316333 +0.082730 0.687034 -1.589562 0.746821 0.261320 -0.611531 0.671488 0.341164 +0.108763 0.725267 -1.541432 0.746821 0.261320 -0.611531 0.662097 0.304437 +0.132277 0.698382 -1.445773 0.959412 0.206598 -0.191952 0.689598 0.289891 +0.133691 0.673240 -1.465766 0.959412 0.206598 -0.191952 0.705035 0.296152 +0.119345 0.712270 -1.495462 0.959412 0.206598 -0.191952 0.675000 0.298164 +0.120564 0.684932 -1.513026 0.957823 0.184338 -0.220441 0.691625 0.305277 +0.119345 0.712270 -1.495462 0.957823 0.184338 -0.220441 0.675000 0.298164 +0.133691 0.673240 -1.465766 0.957823 0.184338 -0.220441 0.705035 0.296152 +0.133691 0.673240 -1.465766 0.998542 0.014910 0.051872 0.705035 0.296152 +0.132277 0.698382 -1.445773 0.998542 0.014910 0.051872 0.689598 0.289891 +0.132940 0.645172 -1.443241 0.998542 0.014910 0.051872 0.721104 0.305389 +0.143365 0.669677 -1.414398 0.941606 -0.004289 -0.336689 0.711957 0.287893 +0.132940 0.645172 -1.443241 0.941606 -0.004289 -0.336689 0.721104 0.305389 +0.132277 0.698382 -1.445773 0.941606 -0.004289 -0.336689 0.689598 0.289891 +0.128445 0.627141 -1.442977 0.839016 -0.335178 -0.428611 0.729422 0.315197 +0.144574 0.621260 -1.406805 0.839016 -0.335178 -0.428611 0.740927 0.301410 +0.118962 0.596255 -1.437387 0.839016 -0.335178 -0.428611 0.742778 0.333718 +0.129576 0.603754 -1.405361 0.751919 -0.652155 -0.096496 0.743689 0.321198 +0.118962 0.596255 -1.437387 0.751919 -0.652155 -0.096496 0.742778 0.333718 +0.144574 0.621260 -1.406805 0.751919 -0.652155 -0.096496 0.740927 0.301410 +0.118962 0.596255 -1.437387 0.430327 -0.885642 0.174519 0.742778 0.333718 +0.122685 0.604309 -1.405695 0.430327 -0.885642 0.174519 0.739920 0.327681 +0.091568 0.580916 -1.447681 0.430327 -0.885642 0.174519 0.621718 0.332715 +0.103408 0.607254 -1.413538 -0.364922 -0.671706 0.644704 0.612203 0.313298 +0.091568 0.580916 -1.447681 -0.364922 -0.671706 0.644704 0.621718 0.332715 +0.122685 0.604309 -1.405695 -0.364922 -0.671706 0.644704 0.739920 0.327681 +0.032725 0.575474 -1.470149 -0.169921 -0.703958 0.689616 0.617570 0.353052 +0.062696 0.576113 -1.462112 -0.169921 -0.703958 0.689616 0.515814 0.291827 +0.034457 0.626023 -1.418122 -0.169921 -0.703958 0.689616 0.588820 0.336050 +0.068962 0.624797 -1.417705 -0.032799 -0.671237 0.740516 0.490423 0.271014 +0.034457 0.626023 -1.418122 -0.032799 -0.671237 0.740516 0.588820 0.336050 +0.062696 0.576113 -1.462112 -0.032799 -0.671237 0.740516 0.515814 0.291827 +0.019013 0.580399 -1.364328 0.253650 0.745602 -0.616229 0.607832 0.364796 +0.025433 0.627061 -1.305227 0.253650 0.745602 -0.616229 0.583703 0.344447 +0.044892 0.584637 -1.348548 0.253650 0.745602 -0.616229 0.501923 0.306429 +0.054464 0.623404 -1.294657 0.309027 0.745179 -0.590940 0.600352 0.317530 +0.044892 0.584637 -1.348548 0.309027 0.745179 -0.590940 0.501923 0.306429 +0.025433 0.627061 -1.305227 0.309027 0.745179 -0.590940 0.583703 0.344447 +0.074056 0.590221 -1.339260 -0.227180 0.825208 -0.517128 0.607515 0.346799 +0.081666 0.623371 -1.289704 -0.227180 0.825208 -0.517128 0.708254 0.361498 +0.111616 0.608226 -1.327029 -0.227180 0.825208 -0.517128 0.615736 0.305079 +0.129485 0.638544 -1.292252 -0.279798 0.790257 -0.545167 0.723260 0.310734 +0.111616 0.608226 -1.327029 -0.279798 0.790257 -0.545167 0.615736 0.305079 +0.081666 0.623371 -1.289704 -0.279798 0.790257 -0.545167 0.708254 0.361498 +0.111616 0.608226 -1.327029 0.782268 0.211187 -0.586051 0.615736 0.305079 +0.129485 0.638544 -1.292252 0.782268 0.211187 -0.586051 0.723260 0.310734 +0.127010 0.615782 -1.303758 0.782268 0.211187 -0.586051 0.735359 0.320026 +0.141154 0.632284 -1.289671 0.389947 0.381298 -0.838185 0.732759 0.301368 +0.127010 0.615782 -1.303758 0.389947 0.381298 -0.838185 0.735359 0.320026 +0.129485 0.638544 -1.292252 0.389947 0.381298 -0.838185 0.723260 0.310734 +0.139402 0.619443 -1.274319 0.433927 -0.896822 0.086120 0.739407 0.306953 +0.155468 0.630819 -1.236804 0.433927 -0.896822 0.086120 0.740771 0.287994 +0.106292 0.609168 -1.214490 0.433927 -0.896822 0.086120 0.612523 0.309934 +0.134085 0.661652 -1.124052 0.498591 -0.807438 0.315357 0.712021 0.299286 +0.106292 0.609168 -1.214490 0.498591 -0.807438 0.315357 0.612523 0.309934 +0.155468 0.630819 -1.236804 0.498591 -0.807438 0.315357 0.740771 0.287994 +0.044879 0.622145 -1.066202 0.499193 -0.855800 0.135696 0.690590 0.397382 +0.028430 0.592604 -1.191998 0.499193 -0.855800 0.135696 0.583320 0.390121 +0.084065 0.641995 -1.085169 0.499193 -0.855800 0.135696 0.698542 0.353534 +0.072683 0.602534 -1.196973 0.240890 -0.922657 0.301127 0.599615 0.344390 +0.084065 0.641995 -1.085169 0.240890 -0.922657 0.301127 0.698542 0.353534 +0.028430 0.592604 -1.191998 0.240890 -0.922657 0.301127 0.583320 0.390121 +-0.000017 1.064723 -1.458554 0.067192 0.579897 -0.811914 0.471393 0.403681 +-0.000017 1.142934 -1.402693 0.067192 0.579897 -0.811914 0.427821 0.376046 +0.068422 1.066913 -1.451326 0.067192 0.579897 -0.811914 0.430327 0.465731 +0.082822 1.147955 -1.405828 -0.062878 0.497044 -0.865444 0.376795 0.450314 +0.068422 1.066913 -1.451326 -0.062878 0.497044 -0.865444 0.430327 0.465731 +-0.000017 1.142934 -1.402693 -0.062878 0.497044 -0.865444 0.427821 0.376046 +-0.000017 1.226909 -1.171195 -0.047376 0.992089 -0.116252 0.381039 0.346374 +0.082590 1.230108 -1.177560 -0.047376 0.992089 -0.116252 0.331162 0.421073 +-0.000017 1.213232 -1.287914 -0.047376 0.992089 -0.116252 0.388658 0.351207 +0.085375 1.217723 -1.291375 -0.056625 0.992386 -0.109374 0.336440 0.428005 +-0.000017 1.213232 -1.287914 -0.056625 0.992386 -0.109374 0.388658 0.351207 +0.082590 1.230108 -1.177560 -0.056625 0.992386 -0.109374 0.331162 0.421073 +-0.000017 0.538588 -1.312755 0.143090 -0.901341 0.408791 0.506461 0.363747 +0.023249 0.541154 -1.315241 0.143090 -0.901341 0.408791 0.516584 0.340510 +0.000000 0.555177 -1.276184 0.143090 -0.901341 0.408791 0.613109 0.390799 +0.026260 0.556299 -1.280054 0.096159 -0.917237 0.386562 0.509216 0.333009 +0.000000 0.555177 -1.276184 0.096159 -0.917237 0.386562 0.613109 0.390799 +0.023249 0.541154 -1.315241 0.096159 -0.917237 0.386562 0.516584 0.340510 +0.018462 0.630150 -1.572862 0.251719 -0.869630 -0.424712 0.672699 0.420456 +-0.000017 0.625376 -1.574039 0.251719 -0.869630 -0.424712 0.666263 0.439742 +0.019196 0.641123 -1.594895 0.251719 -0.869630 -0.424712 0.666637 0.416419 +-0.000017 0.638937 -1.596067 0.127810 -0.844582 -0.519948 0.658318 0.435629 +0.019196 0.641123 -1.594895 0.127810 -0.844582 -0.519948 0.666637 0.416419 +-0.000017 0.625376 -1.574039 0.127810 -0.844582 -0.519948 0.666263 0.439742 +0.000000 1.268361 -1.014367 0.218178 0.870182 -0.441794 0.357936 0.331743 +0.063836 1.256372 -1.006456 0.218178 0.870182 -0.441794 0.327449 0.394578 +0.000000 1.231919 -1.086145 0.218178 0.870182 -0.441794 0.378238 0.344619 +0.063677 1.226234 -1.084658 0.091320 0.929143 -0.358265 0.344332 0.405080 +0.000000 1.231919 -1.086145 0.091320 0.929143 -0.358265 0.378238 0.344619 +0.063836 1.256372 -1.006456 0.091320 0.929143 -0.358265 0.327449 0.394578 +-0.000017 0.532843 -1.403685 0.044196 -0.953766 -0.297284 0.568616 0.517023 +0.013712 0.533006 -1.402167 0.044196 -0.953766 -0.297284 0.572542 0.502625 +-0.000017 0.522635 -1.370935 0.044196 -0.953766 -0.297284 0.575100 0.518841 +0.018619 0.523921 -1.370303 0.075593 -0.955793 -0.284156 0.579753 0.499107 +-0.000017 0.522635 -1.370935 0.075593 -0.955793 -0.284156 0.575100 0.518841 +0.013712 0.533006 -1.402167 0.075593 -0.955793 -0.284156 0.572542 0.502625 +-0.000017 0.870659 -1.537104 0.065785 0.452832 -0.889166 0.600864 0.316341 +0.044385 0.878195 -1.529981 0.065785 0.452832 -0.889166 0.620882 0.360539 +-0.000017 0.779092 -1.583737 0.065785 0.452832 -0.889166 0.653048 0.285912 +0.032314 0.787490 -1.573539 0.177013 0.406812 -0.896198 0.665965 0.319062 +-0.000017 0.779092 -1.583737 0.177013 0.406812 -0.896198 0.653048 0.285912 +0.044385 0.878195 -1.529981 0.177013 0.406812 -0.896198 0.620882 0.360539 +-0.000017 0.707808 -1.270105 -0.174018 -0.971675 -0.159893 0.617968 0.414742 +0.037356 0.701558 -1.272798 -0.174018 -0.971675 -0.159893 0.640305 0.380560 +-0.000017 0.701840 -1.233837 -0.174018 -0.971675 -0.159893 0.621465 0.416552 +0.036792 0.697304 -1.238117 -0.135431 -0.983148 -0.122796 0.642516 0.382395 +-0.000017 0.701840 -1.233837 -0.135431 -0.983148 -0.122796 0.621465 0.416552 +0.037356 0.701558 -1.272798 -0.135431 -0.983148 -0.122796 0.640305 0.380560 +0.024041 0.579481 -1.503406 -0.022062 -0.816729 -0.576600 0.610882 0.360220 +-0.000017 0.582671 -1.507004 -0.022062 -0.816729 -0.576600 0.596992 0.382477 +0.017220 0.609926 -1.546269 -0.022062 -0.816729 -0.576600 0.589638 0.357572 +-0.000017 0.608158 -1.547150 0.113252 -0.838805 -0.532522 0.582060 0.374747 +0.017220 0.609926 -1.546269 0.113252 -0.838805 -0.532522 0.589638 0.357572 +-0.000017 0.582671 -1.507004 0.113252 -0.838805 -0.532522 0.596992 0.382477 +-0.000017 0.679250 -1.231392 0.061327 0.831200 -0.552581 0.540410 0.353187 +0.036703 0.673595 -1.235823 0.061327 0.831200 -0.552581 0.562071 0.319455 +-0.000017 0.628125 -1.308295 0.061327 0.831200 -0.552581 0.570362 0.368692 +0.025433 0.627061 -1.305227 0.102373 0.818453 -0.565380 0.583703 0.344447 +-0.000017 0.628125 -1.308295 0.102373 0.818453 -0.565380 0.570362 0.368692 +0.036703 0.673595 -1.235823 0.102373 0.818453 -0.565380 0.562071 0.319455 +-0.000017 0.579618 -1.476035 -0.208005 -0.747606 0.630729 0.598781 0.383403 +0.032725 0.575474 -1.470149 -0.208005 -0.747606 0.630729 0.617570 0.353052 +-0.000017 0.627442 -1.419349 -0.208005 -0.747606 0.630729 0.570762 0.368899 +0.034457 0.626023 -1.418122 -0.054238 -0.715262 0.696748 0.588820 0.336050 +-0.000017 0.627442 -1.419349 -0.054238 -0.715262 0.696748 0.570762 0.368899 +0.032725 0.575474 -1.470149 -0.054238 -0.715262 0.696748 0.617570 0.353052 +-0.000017 0.547689 -1.401655 0.209175 0.132480 -0.968863 0.559186 0.514379 +0.013895 0.548833 -1.398495 0.209175 0.132480 -0.968863 0.562542 0.499614 +-0.000017 0.532843 -1.403685 0.209175 0.132480 -0.968863 0.568616 0.517023 +0.013712 0.533006 -1.402167 0.104493 0.223622 -0.969059 0.572542 0.502625 +-0.000017 0.532843 -1.403685 0.104493 0.223622 -0.969059 0.568616 0.517023 +0.013895 0.548833 -1.398495 0.104493 0.223622 -0.969059 0.562542 0.499614 +0.000000 0.555177 -1.276184 0.095166 -0.920548 0.378860 0.613109 0.390799 +0.026260 0.556299 -1.280054 0.095166 -0.920548 0.378860 0.509216 0.333009 +0.000000 0.591409 -1.188148 0.095166 -0.920548 0.378860 0.591881 0.379811 +0.028430 0.592604 -1.191998 0.089886 -0.921542 0.377732 0.489030 0.319905 +0.000000 0.591409 -1.188148 0.089886 -0.921542 0.377732 0.591881 0.379811 +0.026260 0.556299 -1.280054 0.089886 -0.921542 0.377732 0.509216 0.333009 +-0.000017 0.582045 -1.366282 0.132410 0.711027 -0.690585 0.597359 0.382667 +0.019013 0.580399 -1.364328 0.132410 0.711027 -0.690585 0.607832 0.364796 +-0.000017 0.547689 -1.401655 0.132410 0.711027 -0.690585 0.617487 0.393086 +0.013895 0.548833 -1.398495 0.095646 0.723962 -0.683177 0.507410 0.347210 +-0.000017 0.547689 -1.401655 0.095646 0.723962 -0.683177 0.617487 0.393086 +0.019013 0.580399 -1.364328 0.095646 0.723962 -0.683177 0.607832 0.364796 +0.000000 0.591409 -1.188148 0.062558 -0.985776 0.155990 0.591881 0.379811 +0.028430 0.592604 -1.191998 0.062558 -0.985776 0.155990 0.489030 0.319905 +0.000000 0.611077 -1.063857 0.062558 -0.985776 0.155990 0.580358 0.373846 +0.044879 0.622145 -1.066202 0.244434 -0.950614 0.191273 0.596300 0.327166 +0.000000 0.611077 -1.063857 0.244434 -0.950614 0.191273 0.580358 0.373846 +0.028430 0.592604 -1.191998 0.244434 -0.950614 0.191273 0.489030 0.319905 +-0.000017 1.180527 -1.351366 -0.008488 0.888842 -0.458136 0.406878 0.362763 +-0.000017 1.213232 -1.287914 -0.008488 0.888842 -0.458136 0.388658 0.351207 +0.085390 1.181174 -1.351693 -0.008488 0.888842 -0.458136 0.356793 0.440934 +0.085375 1.217723 -1.291375 -0.065840 0.853381 -0.517113 0.336440 0.428005 +0.085390 1.181174 -1.351693 -0.065840 0.853381 -0.517113 0.356793 0.440934 +-0.000017 1.213232 -1.287914 -0.065840 0.853381 -0.517113 0.388658 0.351207 +-0.000017 0.582671 -1.507004 -0.116485 -0.988401 -0.097439 0.596992 0.382477 +0.024041 0.579481 -1.503406 -0.116485 -0.988401 -0.097439 0.610882 0.360220 +-0.000017 0.579618 -1.476035 -0.116485 -0.988401 -0.097439 0.598781 0.383403 +0.032725 0.575474 -1.470149 -0.108958 -0.989889 -0.090816 0.617570 0.353052 +-0.000017 0.579618 -1.476035 -0.108958 -0.989889 -0.090816 0.598781 0.383403 +0.024041 0.579481 -1.503406 -0.108958 -0.989889 -0.090816 0.610882 0.360220 +-0.000017 1.007160 -1.486275 0.088432 0.322786 -0.942332 0.503462 0.424021 +0.052737 1.004878 -1.482106 0.088432 0.322786 -0.942332 0.474019 0.473253 +-0.000017 0.986184 -1.493460 0.088432 0.322786 -0.942332 0.515148 0.431433 +0.047971 0.980232 -1.490109 0.102341 0.289263 -0.951763 0.490524 0.477586 +-0.000017 0.986184 -1.493460 0.102341 0.289263 -0.951763 0.515148 0.431433 +0.052737 1.004878 -1.482106 0.102341 0.289263 -0.951763 0.474019 0.473253 +0.063836 1.256372 -1.006456 0.218579 0.759804 -0.612308 0.387611 0.425519 +0.000000 1.268361 -1.014367 0.218579 0.759804 -0.612308 0.457207 0.419674 +0.077967 1.301869 -0.944955 0.218579 0.759804 -0.612308 0.373150 0.395061 +0.000000 1.314178 -0.946150 0.138263 0.822168 -0.552198 0.458104 0.389461 +0.077967 1.301869 -0.944955 0.138263 0.822168 -0.552198 0.373150 0.395061 +0.000000 1.268361 -1.014367 0.138263 0.822168 -0.552198 0.457207 0.419674 +-0.000017 0.728156 -1.616928 0.065975 0.544753 -0.835997 0.606047 0.408571 +-0.000017 0.779092 -1.583737 0.065975 0.544753 -0.835997 0.576205 0.393124 +0.022198 0.731314 -1.613117 0.065975 0.544753 -0.835997 0.615297 0.386169 +0.032314 0.787490 -1.573539 0.114151 0.558364 -0.821705 0.587441 0.359367 +0.022198 0.731314 -1.613117 0.114151 0.558364 -0.821705 0.615297 0.386169 +-0.000017 0.779092 -1.583737 0.114151 0.558364 -0.821705 0.576205 0.393124 +-0.000017 0.666214 -1.339257 -0.035553 -0.856388 0.515106 0.642337 0.427357 +0.035488 0.670332 -1.329960 -0.035553 -0.856388 0.515106 0.657666 0.391833 +-0.000017 0.707808 -1.270105 -0.035553 -0.856388 0.515106 0.617968 0.414742 +0.037356 0.701558 -1.272798 -0.111068 -0.870633 0.479231 0.640305 0.380560 +-0.000017 0.707808 -1.270105 -0.111068 -0.870633 0.479231 0.617968 0.414742 +0.035488 0.670332 -1.329960 -0.111068 -0.870633 0.479231 0.657666 0.391833 +-0.000017 0.951213 -1.493131 0.064480 0.394883 -0.916466 0.534630 0.443790 +0.045040 0.950779 -1.490148 0.064480 0.394883 -0.916466 0.508639 0.485303 +-0.000017 0.917663 -1.507587 0.064480 0.394883 -0.916466 0.553321 0.455644 +0.043526 0.920470 -1.502736 0.078289 0.379042 -0.922062 0.526406 0.494622 +-0.000017 0.917663 -1.507587 0.078289 0.379042 -0.922062 0.553321 0.455644 +0.045040 0.950779 -1.490148 0.078289 0.379042 -0.922062 0.508639 0.485303 +-0.000017 0.917663 -1.507587 0.059955 0.530849 -0.845343 0.574076 0.331961 +0.043526 0.920470 -1.502736 0.059955 0.530849 -0.845343 0.596319 0.373781 +-0.000017 0.870659 -1.537104 0.059955 0.530849 -0.845343 0.600864 0.316341 +0.044385 0.878195 -1.529981 0.042695 0.541836 -0.839399 0.620882 0.360539 +-0.000017 0.870659 -1.537104 0.042695 0.541836 -0.839399 0.600864 0.316341 +0.043526 0.920470 -1.502736 0.042695 0.541836 -0.839399 0.596319 0.373781 +-0.000017 0.986184 -1.493460 0.068501 -0.009386 -0.997607 0.515148 0.431433 +0.047971 0.980232 -1.490109 0.068501 -0.009386 -0.997607 0.490524 0.477586 +-0.000017 0.951213 -1.493131 0.068501 -0.009386 -0.997607 0.534630 0.443790 +0.045040 0.950779 -1.490148 0.066011 -0.005248 -0.997805 0.508639 0.485303 +-0.000017 0.951213 -1.493131 0.066011 -0.005248 -0.997805 0.534630 0.443790 +0.047971 0.980232 -1.490109 0.066011 -0.005248 -0.997805 0.490524 0.477586 +0.000000 1.231919 -1.086145 0.090131 0.994205 -0.058583 0.378238 0.344619 +0.063677 1.226234 -1.084658 0.090131 0.994205 -0.058583 0.344332 0.405080 +-0.000017 1.226909 -1.171195 0.090131 0.994205 -0.058583 0.381039 0.346374 +0.082590 1.230108 -1.177560 -0.036033 0.998761 0.034313 0.331162 0.421073 +-0.000017 1.226909 -1.171195 -0.036033 0.998761 0.034313 0.381039 0.346374 +0.063677 1.226234 -1.084658 -0.036033 0.998761 0.034313 0.344332 0.405080 +-0.000017 0.701840 -1.233837 -0.127803 -0.106722 -0.986041 0.621465 0.416552 +0.036792 0.697304 -1.238117 -0.127803 -0.106722 -0.986041 0.642516 0.382395 +-0.000017 0.679250 -1.231392 -0.127803 -0.106722 -0.986041 0.634700 0.423403 +0.036703 0.673595 -1.235823 -0.133659 -0.094943 -0.986469 0.656361 0.389671 +-0.000017 0.679250 -1.231392 -0.133659 -0.094943 -0.986469 0.634700 0.423403 +0.036792 0.697304 -1.238117 -0.133659 -0.094943 -0.986469 0.642516 0.382395 +-0.000017 0.698873 -1.622242 0.175125 -0.105116 -0.978919 0.623203 0.417452 +0.020583 0.702387 -1.618934 0.175125 -0.105116 -0.978919 0.631438 0.396500 +-0.000017 0.666344 -1.618749 0.175125 -0.105116 -0.978919 0.642261 0.427317 +0.021073 0.670898 -1.614909 0.203051 -0.121040 -0.971658 0.650131 0.405577 +-0.000017 0.666344 -1.618749 0.203051 -0.121040 -0.971658 0.642261 0.427317 +0.020583 0.702387 -1.618934 0.203051 -0.121040 -0.971658 0.631438 0.396500 +-0.000017 0.628125 -1.308295 0.107110 0.778400 -0.618564 0.570362 0.368692 +0.025433 0.627061 -1.305227 0.107110 0.778400 -0.618564 0.583703 0.344447 +-0.000017 0.582045 -1.366282 0.107110 0.778400 -0.618564 0.597359 0.382667 +0.019013 0.580399 -1.364328 0.130680 0.771177 -0.623064 0.607832 0.364796 +-0.000017 0.582045 -1.366282 0.130680 0.771177 -0.623064 0.597359 0.382667 +0.025433 0.627061 -1.305227 0.130680 0.771177 -0.623064 0.583703 0.344447 +0.000000 0.611077 -1.063857 0.216933 -0.937372 -0.272531 0.580358 0.373846 +0.044879 0.622145 -1.066202 0.216933 -0.937372 -0.272531 0.596300 0.327166 +0.000000 0.588966 -0.987806 0.216933 -0.937372 -0.272531 0.593313 0.380552 +0.045699 0.606911 -0.984531 0.370711 -0.912323 -0.173896 0.605635 0.330995 +0.000000 0.588966 -0.987806 0.370711 -0.912323 -0.173896 0.593313 0.380552 +0.044879 0.622145 -1.066202 0.370711 -0.912323 -0.173896 0.596300 0.327166 +-0.000017 1.007160 -1.486275 0.089607 0.432139 -0.897344 0.503462 0.424021 +-0.000017 1.064723 -1.458554 0.089607 0.432139 -0.897344 0.471393 0.403681 +0.052737 1.004878 -1.482106 0.089607 0.432139 -0.897344 0.474019 0.473253 +0.068422 1.066913 -1.451326 0.081499 0.426378 -0.900866 0.430327 0.465731 +0.052737 1.004878 -1.482106 0.081499 0.426378 -0.900866 0.474019 0.473253 +-0.000017 1.064723 -1.458554 0.081499 0.426378 -0.900866 0.471393 0.403681 +0.052737 1.004878 -1.482106 0.455256 0.300706 -0.838044 0.393248 0.494818 +0.068422 1.066913 -1.451326 0.455256 0.300706 -0.838044 0.374210 0.534856 +0.111983 0.988007 -1.455975 0.455256 0.300706 -0.838044 0.444578 0.535271 +0.122807 1.061670 -1.432474 0.338525 0.240486 -0.909707 0.416303 0.576509 +0.111983 0.988007 -1.455975 0.338525 0.240486 -0.909707 0.444578 0.535271 +0.068422 1.066913 -1.451326 0.338525 0.240486 -0.909707 0.374210 0.534856 +0.162490 0.950832 -1.393819 0.673660 0.002157 -0.739038 0.499520 0.559707 +0.163428 1.039889 -1.392704 0.673660 0.002157 -0.739038 0.456507 0.599741 +0.187896 0.952735 -1.370655 0.673660 0.002157 -0.739038 0.517048 0.581084 +0.184488 1.012516 -1.353751 0.910954 0.159502 -0.380423 0.485242 0.604695 +0.187896 0.952735 -1.370655 0.910954 0.159502 -0.380423 0.517048 0.581084 +0.163428 1.039889 -1.392704 0.910954 0.159502 -0.380423 0.456507 0.599741 +0.216812 1.004349 -1.256261 0.953013 -0.098026 -0.286629 0.408385 0.598519 +0.204202 0.942053 -1.276883 0.953013 -0.098026 -0.286629 0.390564 0.559031 +0.200128 1.001052 -1.310606 0.953013 -0.098026 -0.286629 0.390122 0.598202 +0.208750 0.949713 -1.327152 0.985454 0.130363 0.109022 0.395997 0.563555 +0.200128 1.001052 -1.310606 0.985454 0.130363 0.109022 0.390122 0.598202 +0.204202 0.942053 -1.276883 0.985454 0.130363 0.109022 0.390564 0.559031 +0.204202 0.942053 -1.276883 0.948768 -0.091983 -0.302289 0.390564 0.559031 +0.216812 1.004349 -1.256261 0.948768 -0.091983 -0.302289 0.408385 0.598519 +0.224168 0.939482 -1.213435 0.948768 -0.091983 -0.302289 0.411982 0.555134 +0.231478 0.999141 -1.201274 0.962683 -0.064375 -0.262862 0.423894 0.593478 +0.224168 0.939482 -1.213435 0.962683 -0.064375 -0.262862 0.411982 0.555134 +0.216812 1.004349 -1.256261 0.962683 -0.064375 -0.262862 0.408385 0.598519 +0.261441 0.936834 -0.950653 0.884690 0.068748 -0.461082 0.452109 0.549270 +0.241437 1.025889 -0.975757 0.884690 0.068748 -0.461082 0.436461 0.609929 +0.298690 0.981866 -0.872468 0.884690 0.068748 -0.461082 0.495414 0.574701 +0.250557 1.103714 -0.893329 0.884530 0.286366 -0.368241 0.451551 0.659995 +0.298690 0.981866 -0.872468 0.884530 0.286366 -0.368241 0.495414 0.574701 +0.241437 1.025889 -0.975757 0.884530 0.286366 -0.368241 0.436461 0.609929 +0.154512 0.867532 -1.402559 0.896555 0.021039 -0.442432 0.534591 0.516520 +0.161729 0.896266 -1.386568 0.896555 0.021039 -0.442432 0.525738 0.535027 +0.178512 0.860294 -1.354269 0.896555 0.021039 -0.442432 0.555583 0.532730 +0.179262 0.883960 -1.351104 0.900081 0.029613 -0.434715 0.544517 0.543774 +0.178512 0.860294 -1.354269 0.900081 0.029613 -0.434715 0.555583 0.532730 +0.161729 0.896266 -1.386568 0.900081 0.029613 -0.434715 0.525738 0.535027 +0.111725 0.786106 -1.457935 0.895798 -0.201187 -0.396321 0.615946 0.322955 +0.154512 0.867532 -1.402559 0.895798 -0.201187 -0.396321 0.592970 0.390192 +0.131509 0.777987 -1.409096 0.895798 -0.201187 -0.396321 0.515048 0.306736 +0.178512 0.860294 -1.354269 0.867695 -0.189347 -0.459623 0.493878 0.378225 +0.131509 0.777987 -1.409096 0.867695 -0.189347 -0.459623 0.515048 0.306736 +0.154512 0.867532 -1.402559 0.867695 -0.189347 -0.459623 0.592970 0.390192 +0.107095 0.746441 -1.521984 0.948169 0.234896 -0.214011 0.648858 0.299626 +0.111725 0.786106 -1.457935 0.948169 0.234896 -0.214011 0.627934 0.283127 +0.120670 0.732980 -1.476615 0.948169 0.234896 -0.214011 0.663528 0.290604 +0.131509 0.777987 -1.409096 0.907908 0.266602 -0.323461 0.642576 0.266491 +0.120670 0.732980 -1.476615 0.907908 0.266602 -0.323461 0.663528 0.290604 +0.111725 0.786106 -1.457935 0.907908 0.266602 -0.323461 0.627934 0.283127 +0.107642 0.689610 -1.558038 0.959496 0.093587 -0.265725 0.682427 0.316333 +0.108763 0.725267 -1.541432 0.959496 0.093587 -0.265725 0.662097 0.304437 +0.120564 0.684932 -1.513026 0.959496 0.093587 -0.265725 0.691625 0.305277 +0.119345 0.712270 -1.495462 0.971084 0.158184 -0.178814 0.675000 0.298164 +0.120564 0.684932 -1.513026 0.971084 0.158184 -0.178814 0.691625 0.305277 +0.108763 0.725267 -1.541432 0.971084 0.158184 -0.178814 0.662097 0.304437 +0.107044 0.649263 -1.541398 0.767939 0.112849 -0.630503 0.705767 0.329147 +0.091704 0.667292 -1.556855 0.767939 0.112849 -0.630503 0.687539 0.338488 +0.114816 0.668639 -1.528464 0.767939 0.112849 -0.630503 0.698299 0.315768 +0.101380 0.680852 -1.557837 0.674618 -0.519375 -0.524538 0.684429 0.325034 +0.114816 0.668639 -1.528464 0.674618 -0.519375 -0.524538 0.698299 0.315768 +0.091704 0.667292 -1.556855 0.674618 -0.519375 -0.524538 0.687539 0.338488 +0.070546 0.651884 -1.562914 0.454186 -0.292801 -0.841417 0.685993 0.363585 +0.091704 0.667292 -1.556855 0.454186 -0.292801 -0.841417 0.687539 0.338488 +0.085495 0.622349 -1.544567 0.454186 -0.292801 -0.841417 0.710766 0.358111 +0.107044 0.649263 -1.541398 0.486207 -0.292326 -0.823498 0.705767 0.329147 +0.085495 0.622349 -1.544567 0.486207 -0.292326 -0.823498 0.710766 0.358111 +0.091704 0.667292 -1.556855 0.486207 -0.292326 -0.823498 0.687539 0.338488 +0.018462 0.630150 -1.572862 0.294749 -0.767191 -0.569685 0.578409 0.350240 +0.042564 0.636975 -1.569583 0.294749 -0.767191 -0.569685 0.586455 0.324903 +0.017220 0.609926 -1.546269 0.294749 -0.767191 -0.569685 0.589638 0.357572 +0.057574 0.610821 -1.545277 0.033092 -0.670126 -0.741509 0.609278 0.318345 +0.017220 0.609926 -1.546269 0.033092 -0.670126 -0.741509 0.589638 0.357572 +0.042564 0.636975 -1.569583 0.033092 -0.670126 -0.741509 0.586455 0.324903 +-0.000017 0.625376 -1.574039 0.244281 -0.816630 -0.522918 0.509838 0.500543 +0.018462 0.630150 -1.572862 0.244281 -0.816630 -0.522918 0.512228 0.480352 +-0.000017 0.608158 -1.547150 0.244281 -0.816630 -0.522918 0.520775 0.503609 +0.017220 0.609926 -1.546269 0.111960 -0.793477 -0.598213 0.524710 0.485254 +-0.000017 0.608158 -1.547150 0.111960 -0.793477 -0.598213 0.520775 0.503609 +0.018462 0.630150 -1.572862 0.111960 -0.793477 -0.598213 0.512228 0.480352 +0.250596 0.812148 -1.151253 0.862895 0.043432 -0.503514 0.585774 0.219412 +0.244259 0.753451 -1.167176 0.862895 0.043432 -0.503514 0.616996 0.243331 +0.203642 0.795930 -1.233119 0.862895 0.043432 -0.503514 0.571813 0.269657 +0.217239 0.685585 -1.235284 0.877526 0.117254 -0.464972 0.643255 0.289996 +0.203642 0.795930 -1.233119 0.877526 0.117254 -0.464972 0.571813 0.269657 +0.244259 0.753451 -1.167176 0.877526 0.117254 -0.464972 0.616996 0.243331 +0.244259 0.753451 -1.167176 0.942247 -0.332170 -0.042821 0.616996 0.243331 +0.232586 0.714247 -1.119921 0.942247 -0.332170 -0.042821 0.634132 0.266488 +0.217239 0.685585 -1.235284 0.942247 -0.332170 -0.042821 0.643255 0.289996 +0.201473 0.656278 -1.208949 0.880824 -0.473444 0.000449 0.652547 0.314104 +0.217239 0.685585 -1.235284 0.880824 -0.473444 0.000449 0.643255 0.289996 +0.232586 0.714247 -1.119921 0.880824 -0.473444 0.000449 0.634132 0.266488 +0.134085 0.661652 -1.124052 0.149461 -0.972213 0.180178 0.615724 0.377527 +0.201473 0.656278 -1.208949 0.149461 -0.972213 0.180178 0.652547 0.314104 +0.171366 0.683604 -1.036528 0.149461 -0.972213 0.180178 0.621493 0.334880 +0.232586 0.714247 -1.119921 0.666740 -0.709290 0.228833 0.634132 0.266488 +0.171366 0.683604 -1.036528 0.666740 -0.709290 0.228833 0.621493 0.334880 +0.201473 0.656278 -1.208949 0.666740 -0.709290 0.228833 0.652547 0.314104 +0.130931 0.601270 -0.873717 0.570823 -0.579026 -0.582143 0.629463 0.288543 +0.066691 0.541093 -0.876853 0.570823 -0.579026 -0.582143 0.632618 0.368808 +0.106014 0.629367 -0.926096 0.570823 -0.579026 -0.582143 0.600550 0.304076 +0.054010 0.576161 -0.924554 0.574973 -0.578745 -0.578325 0.605736 0.370414 +0.106014 0.629367 -0.926096 0.574973 -0.578745 -0.578325 0.600550 0.304076 +0.066691 0.541093 -0.876853 0.574973 -0.578745 -0.578325 0.632618 0.368808 +0.054010 0.576161 -0.924554 0.360916 -0.703021 -0.612782 0.605736 0.370414 +0.066691 0.541093 -0.876853 0.360916 -0.703021 -0.612782 0.632618 0.368808 +0.000000 0.554331 -0.931320 0.360916 -0.703021 -0.612782 0.591536 0.429173 +0.000000 0.516286 -0.882034 0.323529 -0.749020 -0.578185 0.613826 0.440711 +0.000000 0.554331 -0.931320 0.323529 -0.749020 -0.578185 0.591536 0.429173 +0.066691 0.541093 -0.876853 0.323529 -0.749020 -0.578185 0.632618 0.368808 +0.145445 0.619138 -1.326647 -0.546658 -0.754153 0.363893 0.742606 0.301213 +0.146131 0.627509 -1.308268 -0.546658 -0.754153 0.363893 0.738043 0.298012 +0.139083 0.623711 -1.326727 -0.546658 -0.754153 0.363893 0.736747 0.305968 +0.138638 0.637077 -1.308886 -0.735734 -0.550710 0.394226 0.728694 0.302344 +0.139083 0.623711 -1.326727 -0.735734 -0.550710 0.394226 0.736747 0.305968 +0.146131 0.627509 -1.308268 -0.735734 -0.550710 0.394226 0.738043 0.298012 +0.138638 0.637077 -1.308886 -0.786277 -0.617370 -0.024947 0.728694 0.302344 +0.146131 0.627509 -1.308268 -0.786277 -0.617370 -0.024947 0.738043 0.298012 +0.134660 0.641700 -1.297916 -0.786277 -0.617370 -0.024947 0.723997 0.304781 +0.143894 0.636116 -1.296556 -0.510692 -0.736446 0.443667 0.731883 0.297560 +0.134660 0.641700 -1.297916 -0.510692 -0.736446 0.443667 0.723997 0.304781 +0.146131 0.627509 -1.308268 -0.510692 -0.736446 0.443667 0.738043 0.298012 +-0.000017 0.538588 -1.312755 0.133417 -0.955780 0.262076 0.600751 0.433963 +-0.000017 0.522635 -1.370935 0.133417 -0.955780 0.262076 0.610097 0.438801 +0.023249 0.541154 -1.315241 0.133417 -0.955780 0.262076 0.610874 0.410726 +0.018619 0.523921 -1.370303 0.055879 -0.954190 0.293938 0.618657 0.420421 +0.023249 0.541154 -1.315241 0.055879 -0.954190 0.293938 0.610874 0.410726 +-0.000017 0.522635 -1.370935 0.055879 -0.954190 0.293938 0.610097 0.438801 +0.055126 0.544940 -1.320242 0.156272 -0.947564 0.278749 0.624585 0.378805 +0.023249 0.541154 -1.315241 0.156272 -0.947564 0.278749 0.610874 0.410726 +0.050513 0.530957 -1.365189 0.156272 -0.947564 0.278749 0.630472 0.387499 +0.018619 0.523921 -1.370303 0.163312 -0.945370 0.282144 0.618657 0.420421 +0.050513 0.530957 -1.365189 0.163312 -0.945370 0.282144 0.630472 0.387499 +0.023249 0.541154 -1.315241 0.163312 -0.945370 0.282144 0.610874 0.410726 +0.107871 0.578042 -1.323799 0.869459 -0.458382 -0.184192 0.631549 0.317849 +0.096465 0.564166 -1.343108 0.869459 -0.458382 -0.184192 0.633979 0.333068 +0.101575 0.577932 -1.353245 0.869459 -0.458382 -0.184192 0.628466 0.323960 +0.139402 0.619443 -1.274319 0.898379 -0.272792 -0.344238 0.739407 0.306953 +0.107871 0.578042 -1.323799 0.898379 -0.272792 -0.344238 0.631549 0.317849 +0.127010 0.615782 -1.303758 0.898379 -0.272792 -0.344238 0.735359 0.320026 +0.101575 0.577932 -1.353245 0.912637 -0.359914 -0.193791 0.628466 0.323960 +0.127010 0.615782 -1.303758 0.912637 -0.359914 -0.193791 0.735359 0.320026 +0.107871 0.578042 -1.323799 0.912637 -0.359914 -0.193791 0.631549 0.317849 +0.139402 0.619443 -1.274319 0.835130 -0.465077 -0.293703 0.739407 0.306953 +0.127010 0.615782 -1.303758 0.835130 -0.465077 -0.293703 0.735359 0.320026 +0.141154 0.632284 -1.289671 0.835130 -0.465077 -0.293703 0.732759 0.301368 +0.217239 0.685585 -1.235284 0.773824 -0.599636 -0.204041 0.739552 0.211756 +0.201473 0.656278 -1.208949 0.773824 -0.599636 -0.204041 0.748843 0.235863 +0.164410 0.635710 -1.289065 0.773824 -0.599636 -0.204041 0.742373 0.277879 +0.161549 0.634034 -1.276360 0.491946 -0.870616 -0.004071 0.741925 0.281149 +0.164410 0.635710 -1.289065 0.491946 -0.870616 -0.004071 0.742373 0.277879 +0.201473 0.656278 -1.208949 0.491946 -0.870616 -0.004071 0.748843 0.235863 +0.164410 0.635710 -1.289065 0.683570 -0.729865 0.005386 0.742373 0.277879 +0.163755 0.634987 -1.303910 0.683570 -0.729865 0.005386 0.742470 0.278730 +0.217239 0.685585 -1.235284 0.683570 -0.729865 0.005386 0.739552 0.211756 +0.198106 0.684246 -1.282808 0.835502 -0.443902 -0.323863 0.730775 0.230631 +0.217239 0.685585 -1.235284 0.835502 -0.443902 -0.323863 0.739552 0.211756 +0.163755 0.634987 -1.303910 0.835502 -0.443902 -0.323863 0.742470 0.278730 +0.163755 0.634987 -1.303910 0.826555 -0.561827 -0.034023 0.742470 0.278730 +0.160675 0.631884 -1.327495 0.826555 -0.561827 -0.034023 0.742748 0.282645 +0.198106 0.684246 -1.282808 0.826555 -0.561827 -0.034023 0.730775 0.230631 +0.181027 0.684930 -1.327258 0.877717 -0.335221 -0.342403 0.721840 0.246911 +0.198106 0.684246 -1.282808 0.877717 -0.335221 -0.342403 0.730775 0.230631 +0.160675 0.631884 -1.327495 0.877717 -0.335221 -0.342403 0.742748 0.282645 +0.160675 0.631884 -1.327495 0.933100 -0.358144 0.032510 0.742748 0.282645 +0.158337 0.622466 -1.364142 0.933100 -0.358144 0.032510 0.747097 0.287758 +0.181027 0.684930 -1.327258 0.933100 -0.358144 0.032510 0.721840 0.246911 +0.154497 0.678829 -1.380270 0.895347 -0.065073 -0.440590 0.712157 0.274371 +0.181027 0.684930 -1.327258 0.895347 -0.065073 -0.440590 0.721840 0.246911 +0.158337 0.622466 -1.364142 0.895347 -0.065073 -0.440590 0.747097 0.287758 +0.143365 0.669677 -1.414398 0.947112 -0.026503 -0.319806 0.711957 0.287893 +0.144574 0.621260 -1.406805 0.947112 -0.026503 -0.319806 0.740927 0.301410 +0.132940 0.645172 -1.443241 0.947112 -0.026503 -0.319806 0.721104 0.305389 +0.128445 0.627141 -1.442977 0.875879 -0.224604 -0.427070 0.729422 0.315197 +0.132940 0.645172 -1.443241 0.875879 -0.224604 -0.427070 0.721104 0.305389 +0.144574 0.621260 -1.406805 0.875879 -0.224604 -0.427070 0.740927 0.301410 +0.128445 0.627141 -1.442977 0.961738 -0.241645 -0.129104 0.729422 0.315197 +0.125944 0.642916 -1.491134 0.961738 -0.241645 -0.129104 0.718930 0.312826 +0.132940 0.645172 -1.443241 0.961738 -0.241645 -0.129104 0.721104 0.305389 +0.133691 0.673240 -1.465766 0.981185 -0.136129 -0.136915 0.705035 0.296152 +0.132940 0.645172 -1.443241 0.981185 -0.136129 -0.136915 0.721104 0.305389 +0.125944 0.642916 -1.491134 0.981185 -0.136129 -0.136915 0.718930 0.312826 +0.133691 0.673240 -1.465766 0.962174 -0.018421 -0.271812 0.705035 0.296152 +0.125944 0.642916 -1.491134 0.962174 -0.018421 -0.271812 0.718930 0.312826 +0.120564 0.684932 -1.513026 0.962174 -0.018421 -0.271812 0.691625 0.305277 +0.114816 0.668639 -1.528464 0.949580 -0.040406 -0.310911 0.698299 0.315768 +0.120564 0.684932 -1.513026 0.949580 -0.040406 -0.310911 0.691625 0.305277 +0.125944 0.642916 -1.491134 0.949580 -0.040406 -0.310911 0.718930 0.312826 +0.107642 0.689610 -1.558038 0.777460 -0.562350 -0.281636 0.682427 0.316333 +0.120564 0.684932 -1.513026 0.777460 -0.562350 -0.281636 0.691625 0.305277 +0.101380 0.680852 -1.557837 0.777460 -0.562350 -0.281636 0.684429 0.325034 +0.114816 0.668639 -1.528464 0.916252 0.052999 -0.397081 0.698299 0.315768 +0.101380 0.680852 -1.557837 0.916252 0.052999 -0.397081 0.684429 0.325034 +0.120564 0.684932 -1.513026 0.916252 0.052999 -0.397081 0.691625 0.305277 +0.082730 0.687034 -1.589562 0.650904 -0.599797 -0.465367 0.671488 0.341164 +0.107642 0.689610 -1.558038 0.650904 -0.599797 -0.465367 0.682427 0.316333 +0.077701 0.670632 -1.575456 0.650904 -0.599797 -0.465367 0.678584 0.350992 +0.101380 0.680852 -1.557837 0.647843 -0.476843 -0.594071 0.684429 0.325034 +0.077701 0.670632 -1.575456 0.647843 -0.476843 -0.594071 0.678584 0.350992 +0.107642 0.689610 -1.558038 0.647843 -0.476843 -0.594071 0.682427 0.316333 +0.021073 0.670898 -1.614909 0.384507 -0.531548 -0.754726 0.650131 0.405577 +0.049598 0.680832 -1.607373 0.384507 -0.531548 -0.754726 0.658565 0.375028 +0.019196 0.641123 -1.594895 0.384507 -0.531548 -0.754726 0.666637 0.416419 +0.048210 0.652445 -1.589749 0.338747 -0.508175 -0.791839 0.674503 0.384977 +0.019196 0.641123 -1.594895 0.338747 -0.508175 -0.791839 0.666637 0.416419 +0.049598 0.680832 -1.607373 0.338747 -0.508175 -0.791839 0.658565 0.375028 +-0.000017 0.666344 -1.618749 0.267791 -0.614289 -0.742252 0.642261 0.427317 +0.021073 0.670898 -1.614909 0.267791 -0.614289 -0.742252 0.650131 0.405577 +-0.000017 0.638937 -1.596067 0.267791 -0.614289 -0.742252 0.658318 0.435629 +0.019196 0.641123 -1.594895 0.113713 -0.559171 -0.821217 0.666637 0.416419 +-0.000017 0.638937 -1.596067 0.113713 -0.559171 -0.821217 0.658318 0.435629 +0.021073 0.670898 -1.614909 0.113713 -0.559171 -0.821217 0.650131 0.405577 +0.070546 0.651884 -1.562914 0.475296 -0.607285 -0.636630 0.685993 0.363585 +0.042564 0.636975 -1.569583 0.475296 -0.607285 -0.636630 0.680745 0.395119 +0.077701 0.670632 -1.575456 0.475296 -0.607285 -0.636630 0.678584 0.350992 +0.048210 0.652445 -1.589749 0.610656 -0.701591 -0.367247 0.674503 0.384977 +0.077701 0.670632 -1.575456 0.610656 -0.701591 -0.367247 0.678584 0.350992 +0.042564 0.636975 -1.569583 0.610656 -0.701591 -0.367247 0.680745 0.395119 +0.232935 1.172981 -1.184636 0.458373 0.839850 0.290769 0.202247 0.475051 +0.149037 1.217860 -1.182005 0.458373 0.839850 0.290769 0.294283 0.448165 +0.212058 1.151285 -1.089059 0.458373 0.839850 0.290769 0.224505 0.490032 +0.140954 1.195292 -1.081044 0.530983 0.816932 0.225121 0.302624 0.463307 +0.212058 1.151285 -1.089059 0.530983 0.816932 0.225121 0.224505 0.490032 +0.149037 1.217860 -1.182005 0.530983 0.816932 0.225121 0.294283 0.448165 +0.079852 0.553916 -1.324992 0.377272 -0.867009 0.325517 0.631682 0.352214 +0.055126 0.544940 -1.320242 0.377272 -0.867009 0.325517 0.624585 0.378805 +0.077998 0.542918 -1.352136 0.377272 -0.867009 0.325517 0.637199 0.357339 +0.050513 0.530957 -1.365189 0.279383 -0.924597 0.258969 0.630472 0.387499 +0.077998 0.542918 -1.352136 0.279383 -0.924597 0.258969 0.637199 0.357339 +0.055126 0.544940 -1.320242 0.279383 -0.924597 0.258969 0.624585 0.378805 +0.079852 0.553916 -1.324992 0.376149 -0.875209 0.304172 0.631682 0.352214 +0.083975 0.566737 -1.293200 0.376149 -0.875209 0.304172 0.626231 0.344345 +0.055126 0.544940 -1.320242 0.376149 -0.875209 0.304172 0.624585 0.378805 +0.061988 0.560729 -1.284424 0.365376 -0.875592 0.315973 0.618764 0.367392 +0.055126 0.544940 -1.320242 0.365376 -0.875592 0.315973 0.624585 0.378805 +0.083975 0.566737 -1.293200 0.365376 -0.875592 0.315973 0.626231 0.344345 +0.149037 1.217860 -1.182005 0.466231 0.877958 -0.108715 0.294283 0.448165 +0.232935 1.172981 -1.184636 0.466231 0.877958 -0.108715 0.202247 0.475051 +0.147323 1.206186 -1.283632 0.466231 0.877958 -0.108715 0.295917 0.455918 +0.228412 1.165832 -1.270773 0.455746 0.884769 -0.097363 0.207021 0.479911 +0.147323 1.206186 -1.283632 0.455746 0.884769 -0.097363 0.295917 0.455918 +0.232935 1.172981 -1.184636 0.455746 0.884769 -0.097363 0.202247 0.475051 +0.144216 1.142150 -1.389224 0.544898 0.279826 -0.790432 0.392375 0.629310 +0.185016 1.120970 -1.368596 0.544898 0.279826 -0.790432 0.432414 0.652952 +0.122807 1.061670 -1.432474 0.544898 0.279826 -0.790432 0.416303 0.576509 +0.163428 1.039889 -1.392704 0.705595 0.022720 -0.708251 0.456507 0.599741 +0.122807 1.061670 -1.432474 0.705595 0.022720 -0.708251 0.416303 0.576509 +0.185016 1.120970 -1.368596 0.705595 0.022720 -0.708251 0.432414 0.652952 +0.082036 0.881297 -1.492716 0.714616 0.247611 -0.654227 0.545440 0.326710 +0.119215 0.879041 -1.452959 0.714616 0.247611 -0.654227 0.567083 0.360872 +0.062177 0.790061 -1.548939 0.714616 0.247611 -0.654227 0.586562 0.277742 +0.091171 0.790433 -1.508123 0.810509 0.102502 -0.576687 0.602225 0.305092 +0.062177 0.790061 -1.548939 0.810509 0.102502 -0.576687 0.586562 0.277742 +0.119215 0.879041 -1.452959 0.810509 0.102502 -0.576687 0.567083 0.360872 +0.093092 0.644095 -0.998740 0.340217 -0.907977 -0.244603 0.701822 0.344182 +0.171366 0.683604 -1.036528 0.340217 -0.907977 -0.244603 0.717789 0.256640 +0.106014 0.629367 -0.926096 0.340217 -0.907977 -0.244603 0.600550 0.304076 +0.198022 0.698088 -0.974045 0.577889 -0.814064 -0.057829 0.722624 0.226514 +0.106014 0.629367 -0.926096 0.577889 -0.814064 -0.057829 0.600550 0.304076 +0.171366 0.683604 -1.036528 0.577889 -0.814064 -0.057829 0.717789 0.256640 +0.100389 0.653954 -1.255747 -0.405763 -0.282985 -0.869066 0.699693 0.334149 +0.070074 0.663809 -1.244802 -0.405763 -0.282985 -0.869066 0.678770 0.360424 +0.103226 0.674458 -1.263748 -0.405763 -0.282985 -0.869066 0.689098 0.325192 +0.070992 0.686623 -1.247380 -0.475122 -0.079904 -0.876285 0.665863 0.352619 +0.103226 0.674458 -1.263748 -0.475122 -0.079904 -0.876285 0.689098 0.325192 +0.070074 0.663809 -1.244802 -0.475122 -0.079904 -0.876285 0.678770 0.360424 +0.072713 0.548504 -1.377240 0.488574 -0.097458 -0.867062 0.631285 0.360747 +0.042243 0.536856 -1.393100 0.488574 -0.097458 -0.867062 0.622883 0.393693 +0.071629 0.565028 -1.379708 0.488574 -0.097458 -0.867062 0.621062 0.356782 +0.039635 0.554379 -1.391853 0.319040 0.114438 -0.940807 0.611314 0.390897 +0.071629 0.565028 -1.379708 0.319040 0.114438 -0.940807 0.621062 0.356782 +0.042243 0.536856 -1.393100 0.319040 0.114438 -0.940807 0.622883 0.393693 +0.042564 0.636975 -1.569583 0.432875 -0.467734 -0.770613 0.680745 0.395119 +0.070546 0.651884 -1.562914 0.432875 -0.467734 -0.770613 0.685993 0.363585 +0.057574 0.610821 -1.545277 0.432875 -0.467734 -0.770613 0.703568 0.388561 +0.085495 0.622349 -1.544567 0.203920 -0.440035 -0.874520 0.710766 0.358111 +0.057574 0.610821 -1.545277 0.203920 -0.440035 -0.874520 0.703568 0.388561 +0.070546 0.651884 -1.562914 0.203920 -0.440035 -0.874520 0.685993 0.363585 +0.062696 0.576113 -1.462112 -0.259623 -0.632347 0.729886 0.610104 0.362043 +0.091568 0.580916 -1.447681 -0.259623 -0.632347 0.729886 0.621718 0.332715 +0.068962 0.624797 -1.417705 -0.259623 -0.632347 0.729886 0.584713 0.341230 +0.103408 0.607254 -1.413538 -0.408164 -0.648913 0.642117 0.612203 0.313298 +0.068962 0.624797 -1.417705 -0.408164 -0.648913 0.642117 0.584713 0.341230 +0.091568 0.580916 -1.447681 -0.408164 -0.648913 0.642117 0.621718 0.332715 +0.071629 0.565028 -1.379708 -0.083671 0.848087 -0.523208 0.621062 0.356782 +0.039635 0.554379 -1.391853 -0.083671 0.848087 -0.523208 0.611314 0.390897 +0.074056 0.590221 -1.339260 -0.083671 0.848087 -0.523208 0.607515 0.346799 +0.044892 0.584637 -1.348548 0.026424 0.817930 -0.574711 0.596213 0.376645 +0.074056 0.590221 -1.339260 0.026424 0.817930 -0.574711 0.607515 0.346799 +0.039635 0.554379 -1.391853 0.026424 0.817930 -0.574711 0.611314 0.390897 +0.061988 0.560729 -1.284424 0.377265 -0.852652 0.361463 0.618764 0.367392 +0.083975 0.566737 -1.293200 0.377265 -0.852652 0.361463 0.626231 0.344345 +0.072683 0.602534 -1.196973 0.377265 -0.852652 0.361463 0.599615 0.344390 +0.106292 0.609168 -1.214490 0.358582 -0.860388 0.362148 0.612523 0.309934 +0.072683 0.602534 -1.196973 0.358582 -0.860388 0.362148 0.599615 0.344390 +0.083975 0.566737 -1.293200 0.358582 -0.860388 0.362148 0.626231 0.344345 +0.074056 0.590221 -1.339260 0.018820 0.829692 -0.557904 0.607515 0.346799 +0.044892 0.584637 -1.348548 0.018820 0.829692 -0.557904 0.596213 0.376645 +0.081666 0.623371 -1.289704 0.018820 0.829692 -0.557904 0.708254 0.361498 +0.054464 0.623404 -1.294657 0.108974 0.797670 -0.593167 0.694642 0.387746 +0.081666 0.623371 -1.289704 0.108974 0.797670 -0.593167 0.708254 0.361498 +0.044892 0.584637 -1.348548 0.108974 0.797670 -0.593167 0.596213 0.376645 +0.134085 0.661652 -1.124052 0.538339 -0.790120 0.293092 0.712021 0.299286 +0.084065 0.641995 -1.085169 0.538339 -0.790120 0.293092 0.698542 0.353534 +0.106292 0.609168 -1.214490 0.538339 -0.790120 0.293092 0.612523 0.309934 +0.072683 0.602534 -1.196973 0.326383 -0.901286 0.284881 0.599615 0.344390 +0.106292 0.609168 -1.214490 0.326383 -0.901286 0.284881 0.612523 0.309934 +0.084065 0.641995 -1.085169 0.326383 -0.901286 0.284881 0.698542 0.353534 +0.147323 1.206186 -1.283632 0.455567 0.777006 -0.434419 0.295917 0.455918 +0.228412 1.165832 -1.270773 0.455567 0.777006 -0.434419 0.207021 0.479911 +0.148298 1.172147 -1.343492 0.455567 0.777006 -0.434419 0.294191 0.478332 +0.206980 1.147182 -1.323399 0.476280 0.749605 -0.459618 0.229942 0.492901 +0.148298 1.172147 -1.343492 0.476280 0.749605 -0.459618 0.294191 0.478332 +0.228412 1.165832 -1.270773 0.476280 0.749605 -0.459618 0.207021 0.479911 +0.060899 0.582180 -1.501117 0.403650 -0.901036 -0.158748 0.605652 0.361938 +0.089667 0.594454 -1.497634 0.403650 -0.901036 -0.158748 0.612836 0.330445 +0.062696 0.576113 -1.462112 0.403650 -0.901036 -0.158748 0.610104 0.362043 +0.091568 0.580916 -1.447681 0.283882 -0.922692 -0.260866 0.621718 0.332715 +0.062696 0.576113 -1.462112 0.283882 -0.922692 -0.260866 0.610104 0.362043 +0.089667 0.594454 -1.497634 0.283882 -0.922692 -0.260866 0.612836 0.330445 +0.111983 0.988007 -1.455975 0.807456 0.138082 -0.573540 0.444578 0.535271 +0.162490 0.950832 -1.393819 0.807456 0.138082 -0.573540 0.499520 0.559707 +0.115076 0.963420 -1.457540 0.807456 0.138082 -0.573540 0.458889 0.526929 +0.147895 0.938309 -1.405185 0.734162 -0.305117 -0.606556 0.495058 0.542385 +0.115076 0.963420 -1.457540 0.734162 -0.305117 -0.606556 0.458889 0.526929 +0.162490 0.950832 -1.393819 0.734162 -0.305117 -0.606556 0.499520 0.559707 +0.053269 0.738356 -1.597447 0.615494 0.480245 -0.624925 0.626698 0.354039 +0.062177 0.790061 -1.548939 0.615494 0.480245 -0.624925 0.600857 0.329759 +0.086377 0.743683 -1.560745 0.615494 0.480245 -0.624925 0.640121 0.320463 +0.091171 0.790433 -1.508123 0.705388 0.496778 -0.505607 0.615128 0.301657 +0.086377 0.743683 -1.560745 0.705388 0.496778 -0.505607 0.640121 0.320463 +0.062177 0.790061 -1.548939 0.705388 0.496778 -0.505607 0.600857 0.329759 +0.068040 0.667823 -1.327512 -0.146297 -0.893496 0.424572 0.675403 0.361171 +0.119194 0.660955 -1.324339 -0.146297 -0.893496 0.424572 0.704988 0.313872 +0.069671 0.690989 -1.278198 -0.146297 -0.893496 0.424572 0.662646 0.352570 +0.118120 0.677453 -1.278789 -0.250855 -0.912043 0.324422 0.694785 0.309906 +0.069671 0.690989 -1.278198 -0.250855 -0.912043 0.324422 0.662646 0.352570 +0.119194 0.660955 -1.324339 -0.250855 -0.912043 0.324422 0.704988 0.313872 +0.108948 0.939119 -1.462815 0.811994 -0.163911 -0.560178 0.466359 0.511257 +0.138628 0.925182 -1.415715 0.811994 -0.163911 -0.560178 0.494764 0.529105 +0.095598 0.916070 -1.475422 0.811994 -0.163911 -0.560178 0.467966 0.490300 +0.130130 0.909236 -1.431816 0.784637 0.180660 -0.593048 0.496412 0.515202 +0.095598 0.916070 -1.475422 0.784637 0.180660 -0.593048 0.467966 0.490300 +0.138628 0.925182 -1.415715 0.784637 0.180660 -0.593048 0.494764 0.529105 +0.095598 0.916070 -1.475422 0.784163 0.002787 -0.620549 0.627339 0.421217 +0.130130 0.909236 -1.431816 0.784163 0.002787 -0.620549 0.650142 0.451372 +0.082036 0.881297 -1.492716 0.784163 0.002787 -0.620549 0.639730 0.396926 +0.119215 0.879041 -1.452959 0.720858 0.203366 -0.662575 0.661374 0.431088 +0.082036 0.881297 -1.492716 0.720858 0.203366 -0.662575 0.639730 0.396926 +0.130130 0.909236 -1.431816 0.720858 0.203366 -0.662575 0.650142 0.451372 +0.115076 0.963420 -1.457540 0.824849 -0.086734 -0.558660 0.458889 0.526929 +0.147895 0.938309 -1.405185 0.824849 -0.086734 -0.558660 0.495058 0.542385 +0.108948 0.939119 -1.462815 0.824849 -0.086734 -0.558660 0.466359 0.511257 +0.138628 0.925182 -1.415715 0.820320 -0.132901 -0.556249 0.494764 0.529105 +0.108948 0.939119 -1.462815 0.820320 -0.132901 -0.556249 0.466359 0.511257 +0.147895 0.938309 -1.405185 0.820320 -0.132901 -0.556249 0.495058 0.542385 +0.212058 1.151285 -1.089059 0.525440 0.792666 0.309182 0.224505 0.490032 +0.140954 1.195292 -1.081044 0.525440 0.792666 0.309182 0.302624 0.463307 +0.194389 1.135778 -1.019275 0.525440 0.792666 0.309182 0.243400 0.500827 +0.155712 1.208942 -1.010450 0.838253 0.475353 -0.267155 0.286856 0.453830 +0.194389 1.135778 -1.019275 0.838253 0.475353 -0.267155 0.243400 0.500827 +0.140954 1.195292 -1.081044 0.838253 0.475353 -0.267155 0.302624 0.463307 +0.103226 0.674458 -1.263748 -0.533560 -0.554377 -0.638733 0.689098 0.325192 +0.070992 0.686623 -1.247380 -0.533560 -0.554377 -0.638733 0.665863 0.352619 +0.118120 0.677453 -1.278789 -0.533560 -0.554377 -0.638733 0.694785 0.309906 +0.069671 0.690989 -1.278198 -0.268413 -0.955311 -0.123835 0.662646 0.352570 +0.118120 0.677453 -1.278789 -0.268413 -0.955311 -0.123835 0.694785 0.309906 +0.070992 0.686623 -1.247380 -0.268413 -0.955311 -0.123835 0.665863 0.352619 +0.078161 0.717670 -1.582310 0.584759 0.268420 -0.765511 0.651256 0.336283 +0.082730 0.687034 -1.589562 0.584759 0.268420 -0.765511 0.671488 0.341164 +0.049203 0.712284 -1.606319 0.584759 0.268420 -0.765511 0.639941 0.365871 +0.049598 0.680832 -1.607373 0.468037 0.035470 -0.882996 0.658565 0.375028 +0.049203 0.712284 -1.606319 0.468037 0.035470 -0.882996 0.639941 0.365871 +0.082730 0.687034 -1.589562 0.468037 0.035470 -0.882996 0.671488 0.341164 +0.081666 0.623371 -1.289704 0.128654 0.700566 -0.701894 0.708254 0.361498 +0.054464 0.623404 -1.294657 0.128654 0.700566 -0.701894 0.694642 0.387746 +0.100389 0.653954 -1.255747 0.128654 0.700566 -0.701894 0.699693 0.334149 +0.070074 0.663809 -1.244802 0.022564 0.773228 -0.633727 0.678770 0.360424 +0.100389 0.653954 -1.255747 0.022564 0.773228 -0.633727 0.699693 0.334149 +0.054464 0.623404 -1.294657 0.022564 0.773228 -0.633727 0.694642 0.387746 +0.084065 0.641995 -1.085169 0.355950 -0.934393 -0.014474 0.698542 0.353534 +0.134085 0.661652 -1.124052 0.355950 -0.934393 -0.014474 0.712021 0.299286 +0.093092 0.644095 -0.998740 0.355950 -0.934393 -0.014474 0.701822 0.344182 +0.171366 0.683604 -1.036528 0.460558 -0.887238 0.026353 0.717789 0.256640 +0.093092 0.644095 -0.998740 0.460558 -0.887238 0.026353 0.701822 0.344182 +0.134085 0.661652 -1.124052 0.460558 -0.887238 0.026353 0.712021 0.299286 +0.122807 1.061670 -1.432474 0.724903 0.110409 -0.679946 0.416303 0.576509 +0.163428 1.039889 -1.392704 0.724903 0.110409 -0.679946 0.456507 0.599741 +0.111983 0.988007 -1.455975 0.724903 0.110409 -0.679946 0.444578 0.535271 +0.162490 0.950832 -1.393819 0.776001 -0.000277 -0.630731 0.499520 0.559707 +0.111983 0.988007 -1.455975 0.776001 -0.000277 -0.630731 0.444578 0.535271 +0.163428 1.039889 -1.392704 0.776001 -0.000277 -0.630731 0.456507 0.599741 +0.163891 1.230911 -0.925097 0.831459 0.513601 -0.211871 0.278400 0.439079 +0.250557 1.103714 -0.893329 0.831459 0.513601 -0.211871 0.181743 0.520158 +0.155712 1.208942 -1.010450 0.831459 0.513601 -0.211871 0.286856 0.453830 +0.194389 1.135778 -1.019275 0.841979 0.475780 -0.254370 0.243400 0.500827 +0.155712 1.208942 -1.010450 0.841979 0.475780 -0.254370 0.286856 0.453830 +0.250557 1.103714 -0.893329 0.841979 0.475780 -0.254370 0.181743 0.520158 +0.057574 0.610821 -1.545277 0.335031 -0.778787 -0.530326 0.703568 0.388561 +0.085495 0.622349 -1.544567 0.335031 -0.778787 -0.530326 0.710766 0.358111 +0.060899 0.582180 -1.501117 0.335031 -0.778787 -0.530326 0.605652 0.361938 +0.089667 0.594454 -1.497634 0.390904 -0.775547 -0.495702 0.612836 0.330445 +0.060899 0.582180 -1.501117 0.390904 -0.775547 -0.495702 0.605652 0.361938 +0.085495 0.622349 -1.544567 0.390904 -0.775547 -0.495702 0.710766 0.358111 +0.077998 0.542918 -1.352136 0.493479 -0.821177 -0.286613 0.637199 0.357339 +0.050513 0.530957 -1.365189 0.493479 -0.821177 -0.286613 0.630472 0.387499 +0.072713 0.548504 -1.377240 0.493479 -0.821177 -0.286613 0.631285 0.360747 +0.042243 0.536856 -1.393100 0.477465 -0.820305 -0.314844 0.622883 0.393693 +0.072713 0.548504 -1.377240 0.477465 -0.820305 -0.314844 0.631285 0.360747 +0.050513 0.530957 -1.365189 0.477465 -0.820305 -0.314844 0.630472 0.387499 +0.077701 0.670632 -1.575456 0.617134 -0.613239 -0.493036 0.678584 0.350992 +0.048210 0.652445 -1.589749 0.617134 -0.613239 -0.493036 0.674503 0.384977 +0.082730 0.687034 -1.589562 0.617134 -0.613239 -0.493036 0.671488 0.341164 +0.049598 0.680832 -1.607373 0.483561 -0.478636 -0.732855 0.658565 0.375028 +0.082730 0.687034 -1.589562 0.483561 -0.478636 -0.732855 0.671488 0.341164 +0.048210 0.652445 -1.589749 0.483561 -0.478636 -0.732855 0.674503 0.384977 +0.161729 0.896266 -1.386568 0.744457 0.639735 0.191111 0.525738 0.535027 +0.145069 0.918884 -1.397383 0.744457 0.639735 0.191111 0.502535 0.531534 +0.156931 0.899919 -1.380106 0.744457 0.639735 0.191111 0.520459 0.532759 +0.144229 0.917095 -1.389823 0.712954 0.660478 0.235511 0.502802 0.530066 +0.156931 0.899919 -1.380106 0.712954 0.660478 0.235511 0.520459 0.532759 +0.145069 0.918884 -1.397383 0.712954 0.660478 0.235511 0.502535 0.531534 +0.179262 0.883960 -1.351104 0.854939 0.443708 -0.268707 0.544517 0.543774 +0.161729 0.896266 -1.386568 0.854939 0.443708 -0.268707 0.525738 0.535027 +0.174074 0.894637 -1.349980 0.854939 0.443708 -0.268707 0.535508 0.544288 +0.156931 0.899919 -1.380106 0.487793 0.863800 -0.126126 0.520459 0.532759 +0.174074 0.894637 -1.349980 0.487793 0.863800 -0.126126 0.535508 0.544288 +0.161729 0.896266 -1.386568 0.487793 0.863800 -0.126126 0.525738 0.535027 +0.191269 0.896540 -1.311910 0.485994 0.777806 -0.398533 0.547070 0.559028 +0.179262 0.883960 -1.351104 0.485994 0.777806 -0.398533 0.544517 0.543774 +0.175696 0.902466 -1.319335 0.485994 0.777806 -0.398533 0.532846 0.549052 +0.174074 0.894637 -1.349980 0.881067 0.444993 -0.160318 0.535508 0.544288 +0.175696 0.902466 -1.319335 0.881067 0.444993 -0.160318 0.532846 0.549052 +0.179262 0.883960 -1.351104 0.881067 0.444993 -0.160318 0.544517 0.543774 +0.190478 0.930004 -1.297658 0.649237 0.310964 -0.694113 0.530077 0.573147 +0.191269 0.896540 -1.311910 0.649237 0.310964 -0.694113 0.547070 0.559028 +0.175093 0.923527 -1.314950 0.649237 0.310964 -0.694113 0.522075 0.557853 +0.175696 0.902466 -1.319335 0.480914 0.191890 -0.855511 0.532846 0.549052 +0.175093 0.923527 -1.314950 0.480914 0.191890 -0.855511 0.522075 0.557853 +0.191269 0.896540 -1.311910 0.480914 0.191890 -0.855511 0.547070 0.559028 +0.182783 0.932330 -1.335078 0.306208 -0.909600 -0.280827 0.523344 0.567952 +0.198484 0.937192 -1.333706 0.306208 -0.909600 -0.280827 0.532368 0.582789 +0.175093 0.923527 -1.314950 0.306208 -0.909600 -0.280827 0.522075 0.557853 +0.190478 0.930004 -1.297658 0.457430 -0.886070 -0.075092 0.530077 0.573147 +0.175093 0.923527 -1.314950 0.457430 -0.886070 -0.075092 0.522075 0.557853 +0.198484 0.937192 -1.333706 0.457430 -0.886070 -0.075092 0.532368 0.582789 +0.145069 0.918884 -1.397383 0.554719 -0.821382 -0.132733 0.502535 0.531534 +0.183244 0.941167 -1.375734 0.554719 -0.821382 -0.132733 0.519343 0.572222 +0.144229 0.917095 -1.389823 0.554719 -0.821382 -0.132733 0.502802 0.530066 +0.169463 0.931681 -1.373555 0.551079 -0.826685 -0.113593 0.513983 0.556898 +0.144229 0.917095 -1.389823 0.551079 -0.826685 -0.113593 0.502802 0.530066 +0.183244 0.941167 -1.375734 0.551079 -0.826685 -0.113593 0.519343 0.572222 +0.156931 0.899919 -1.380106 0.654104 0.675865 0.339638 0.520459 0.532759 +0.144229 0.917095 -1.389823 0.654104 0.675865 0.339638 0.502802 0.530066 +0.125424 0.914963 -1.349364 0.654104 0.675865 0.339638 0.490183 0.513923 +0.174074 0.894637 -1.349980 0.384262 0.921456 -0.057103 0.535508 0.544288 +0.156931 0.899919 -1.380106 0.384262 0.921456 -0.057103 0.520459 0.532759 +0.125424 0.914963 -1.349364 0.384262 0.921456 -0.057103 0.490183 0.513923 +0.175696 0.902466 -1.319335 0.370761 0.894933 -0.248256 0.532846 0.549052 +0.174074 0.894637 -1.349980 0.370761 0.894933 -0.248256 0.535508 0.544288 +0.125424 0.914963 -1.349364 0.370761 0.894933 -0.248256 0.490183 0.513923 +0.175093 0.923527 -1.314950 0.537577 0.186600 -0.822308 0.522075 0.557853 +0.175696 0.902466 -1.319335 0.537577 0.186600 -0.822308 0.532846 0.549052 +0.125424 0.914963 -1.349364 0.537577 0.186600 -0.822308 0.490183 0.513923 +0.182783 0.932330 -1.335078 0.339299 -0.902551 -0.265101 0.523344 0.567952 +0.175093 0.923527 -1.314950 0.339299 -0.902551 -0.265101 0.522075 0.557853 +0.125424 0.914963 -1.349364 0.339299 -0.902551 -0.265101 0.490183 0.513923 +0.144229 0.917095 -1.389823 0.421292 -0.894657 0.148669 0.502802 0.530066 +0.169463 0.931681 -1.373555 0.421292 -0.894657 0.148669 0.513983 0.556898 +0.125424 0.914963 -1.349364 0.421292 -0.894657 0.148669 0.490183 0.513923 +-0.000017 1.142934 -1.402693 -0.071080 0.804715 -0.589391 0.427821 0.376046 +-0.000017 1.180527 -1.351366 -0.071080 0.804715 -0.589391 0.406878 0.362763 +0.082822 1.147955 -1.405828 -0.071080 0.804715 -0.589391 0.376795 0.450314 +0.085390 1.181174 -1.351693 -0.008460 0.852472 -0.522705 0.356793 0.440934 +0.082822 1.147955 -1.405828 -0.008460 0.852472 -0.522705 0.376795 0.450314 +-0.000017 1.180527 -1.351366 -0.008460 0.852472 -0.522705 0.406878 0.362763 +0.082822 1.147955 -1.405828 0.218273 0.827122 -0.517905 0.344913 0.582239 +0.085390 1.181174 -1.351693 0.218273 0.827122 -0.517905 0.330481 0.598965 +0.144216 1.142150 -1.389224 0.218273 0.827122 -0.517905 0.392375 0.629310 +0.148298 1.172147 -1.343492 0.188463 0.813388 -0.550347 0.380624 0.645840 +0.144216 1.142150 -1.389224 0.188463 0.813388 -0.550347 0.392375 0.629310 +0.085390 1.181174 -1.351693 0.188463 0.813388 -0.550347 0.330481 0.598965 +0.144216 1.142150 -1.389224 0.583098 0.654462 -0.481328 0.298039 0.498245 +0.148298 1.172147 -1.343492 0.583098 0.654462 -0.481328 0.294191 0.478332 +0.185016 1.120970 -1.368596 0.583098 0.654462 -0.481328 0.253294 0.510894 +0.206980 1.147182 -1.323399 0.478147 0.638751 -0.602804 0.229942 0.492901 +0.185016 1.120970 -1.368596 0.478147 0.638751 -0.602804 0.253294 0.510894 +0.148298 1.172147 -1.343492 0.478147 0.638751 -0.602804 0.294191 0.478332 +0.187896 0.952735 -1.370655 0.893337 0.168705 -0.416519 0.517048 0.581084 +0.184488 1.012516 -1.353751 0.893337 0.168705 -0.416519 0.485242 0.604695 +0.208750 0.949713 -1.327152 0.893337 0.168705 -0.416519 0.533685 0.596611 +0.200128 1.001052 -1.310606 0.930670 0.244123 -0.272501 0.502231 0.612282 +0.208750 0.949713 -1.327152 0.930670 0.244123 -0.272501 0.533685 0.596611 +0.184488 1.012516 -1.353751 0.930670 0.244123 -0.272501 0.485242 0.604695 +0.198484 0.937192 -1.333706 0.806782 -0.484370 -0.338363 0.532368 0.582789 +0.183244 0.941167 -1.375734 0.806782 -0.484370 -0.338363 0.519343 0.572222 +0.208750 0.949713 -1.327152 0.806782 -0.484370 -0.338363 0.533685 0.596611 +0.187896 0.952735 -1.370655 0.884940 -0.164598 -0.435648 0.517048 0.581084 +0.208750 0.949713 -1.327152 0.884940 -0.164598 -0.435648 0.533685 0.596611 +0.183244 0.941167 -1.375734 0.884940 -0.164598 -0.435648 0.519343 0.572222 +0.183244 0.941167 -1.375734 0.518009 -0.813367 -0.264766 0.519343 0.572222 +0.198484 0.937192 -1.333706 0.518009 -0.813367 -0.264766 0.532368 0.582789 +0.169463 0.931681 -1.373555 0.518009 -0.813367 -0.264766 0.513983 0.556898 +0.182783 0.932330 -1.335078 0.301688 -0.949297 -0.088426 0.523344 0.567952 +0.169463 0.931681 -1.373555 0.301688 -0.949297 -0.088426 0.513983 0.556898 +0.198484 0.937192 -1.333706 0.301688 -0.949297 -0.088426 0.532368 0.582789 +0.169463 0.931681 -1.373555 0.309298 -0.946591 -0.091106 0.513983 0.556898 +0.182783 0.932330 -1.335078 0.309298 -0.946591 -0.091106 0.523344 0.567952 +0.125424 0.914963 -1.349364 0.309298 -0.946591 -0.091106 0.490183 0.513923 +-0.000017 0.698873 -1.622242 0.126516 0.177119 -0.976024 0.623203 0.417452 +-0.000017 0.728156 -1.616928 0.126516 0.177119 -0.976024 0.606047 0.408571 +0.020583 0.702387 -1.618934 0.126516 0.177119 -0.976024 0.631438 0.396500 +0.022198 0.731314 -1.613117 0.140099 0.187679 -0.972188 0.615297 0.386169 +0.020583 0.702387 -1.618934 0.140099 0.187679 -0.972188 0.631438 0.396500 +-0.000017 0.728156 -1.616928 0.140099 0.187679 -0.972188 0.606047 0.408571 +0.020583 0.702387 -1.618934 0.349120 0.165970 -0.922263 0.631438 0.396500 +0.022198 0.731314 -1.613117 0.349120 0.165970 -0.922263 0.615297 0.386169 +0.049203 0.712284 -1.606319 0.349120 0.165970 -0.922263 0.639941 0.365871 +0.053269 0.738356 -1.597447 0.393021 0.240700 -0.887467 0.626698 0.354039 +0.049203 0.712284 -1.606319 0.393021 0.240700 -0.887467 0.639941 0.365871 +0.022198 0.731314 -1.613117 0.393021 0.240700 -0.887467 0.615297 0.386169 +0.049203 0.712284 -1.606319 0.610441 0.168181 -0.774001 0.639941 0.365871 +0.053269 0.738356 -1.597447 0.610441 0.168181 -0.774001 0.626698 0.354039 +0.078161 0.717670 -1.582310 0.610441 0.168181 -0.774001 0.651256 0.336283 +0.086377 0.743683 -1.560745 0.675959 0.331945 -0.657945 0.640121 0.320463 +0.078161 0.717670 -1.582310 0.675959 0.331945 -0.657945 0.651256 0.336283 +0.053269 0.738356 -1.597447 0.675959 0.331945 -0.657945 0.626698 0.354039 +0.078161 0.717670 -1.582310 0.746402 0.268910 -0.608746 0.651256 0.336283 +0.086377 0.743683 -1.560745 0.746402 0.268910 -0.608746 0.640121 0.320463 +0.108763 0.725267 -1.541432 0.746402 0.268910 -0.608746 0.662097 0.304437 +0.107095 0.746441 -1.521984 0.765729 0.466749 -0.442498 0.648858 0.299626 +0.108763 0.725267 -1.541432 0.765729 0.466749 -0.442498 0.662097 0.304437 +0.086377 0.743683 -1.560745 0.765729 0.466749 -0.442498 0.640121 0.320463 +0.108763 0.725267 -1.541432 0.962108 0.221650 -0.158804 0.662097 0.304437 +0.107095 0.746441 -1.521984 0.962108 0.221650 -0.158804 0.648858 0.299626 +0.119345 0.712270 -1.495462 0.962108 0.221650 -0.158804 0.675000 0.298164 +0.120670 0.732980 -1.476615 0.957968 0.157134 -0.240014 0.663528 0.290604 +0.119345 0.712270 -1.495462 0.957968 0.157134 -0.240014 0.675000 0.298164 +0.107095 0.746441 -1.521984 0.957968 0.157134 -0.240014 0.648858 0.299626 +0.119345 0.712270 -1.495462 0.967568 0.133345 -0.214549 0.675000 0.298164 +0.120670 0.732980 -1.476615 0.967568 0.133345 -0.214549 0.663528 0.290604 +0.132277 0.698382 -1.445773 0.967568 0.133345 -0.214549 0.689598 0.289891 +0.135294 0.717779 -1.430873 0.956649 0.068624 -0.283042 0.679742 0.281096 +0.132277 0.698382 -1.445773 0.956649 0.068624 -0.283042 0.689598 0.289891 +0.120670 0.732980 -1.476615 0.956649 0.068624 -0.283042 0.663528 0.290604 +0.132277 0.698382 -1.445773 0.958098 0.065229 -0.278916 0.689598 0.289891 +0.135294 0.717779 -1.430873 0.958098 0.065229 -0.278916 0.679742 0.281096 +0.143365 0.669677 -1.414398 0.958098 0.065229 -0.278916 0.711957 0.287893 +0.154497 0.678829 -1.380270 0.945668 0.048563 -0.321485 0.712157 0.274371 +0.143365 0.669677 -1.414398 0.945668 0.048563 -0.321485 0.711957 0.287893 +0.135294 0.717779 -1.430873 0.945668 0.048563 -0.321485 0.679742 0.281096 +0.144574 0.621260 -1.406805 0.951624 -0.024273 -0.306305 0.740927 0.301410 +0.143365 0.669677 -1.414398 0.951624 -0.024273 -0.306305 0.711957 0.287893 +0.158337 0.622466 -1.364142 0.951624 -0.024273 -0.306305 0.747097 0.287758 +0.154497 0.678829 -1.380270 0.952213 -0.022292 -0.304619 0.712157 0.274371 +0.158337 0.622466 -1.364142 0.952213 -0.022292 -0.304619 0.747097 0.287758 +0.143365 0.669677 -1.414398 0.952213 -0.022292 -0.304619 0.711957 0.287893 +0.129576 0.603754 -1.405361 0.755578 -0.652291 -0.060152 0.743689 0.321198 +0.144574 0.621260 -1.406805 0.755578 -0.652291 -0.060152 0.740927 0.301410 +0.139376 0.611108 -1.362009 0.755578 -0.652291 -0.060152 0.744277 0.309506 +0.158337 0.622466 -1.364142 0.497745 -0.856538 -0.136358 0.747097 0.287758 +0.139376 0.611108 -1.362009 0.497745 -0.856538 -0.136358 0.744277 0.309506 +0.144574 0.621260 -1.406805 0.497745 -0.856538 -0.136358 0.740927 0.301410 +0.035488 0.670332 -1.329960 -0.013995 -0.893348 0.449148 0.563376 0.321617 +-0.000017 0.666214 -1.339257 -0.013995 -0.893348 0.449148 0.548047 0.357141 +0.034457 0.626023 -1.418122 -0.013995 -0.893348 0.449148 0.588820 0.336050 +-0.000017 0.627442 -1.419349 -0.052483 -0.898840 0.435123 0.570762 0.368899 +0.034457 0.626023 -1.418122 -0.052483 -0.898840 0.435123 0.588820 0.336050 +-0.000017 0.666214 -1.339257 -0.052483 -0.898840 0.435123 0.548047 0.357141 +0.068962 0.624797 -1.417705 -0.037248 -0.902083 0.429952 0.490423 0.271014 +0.068040 0.667823 -1.327512 -0.037248 -0.902083 0.429952 0.581112 0.290955 +0.034457 0.626023 -1.418122 -0.037248 -0.902083 0.429952 0.588820 0.336050 +0.035488 0.670332 -1.329960 -0.102136 -0.888349 0.447666 0.563376 0.321617 +0.034457 0.626023 -1.418122 -0.102136 -0.888349 0.447666 0.588820 0.336050 +0.068040 0.667823 -1.327512 -0.102136 -0.888349 0.447666 0.581112 0.290955 +0.068040 0.667823 -1.327512 -0.146297 -0.893431 0.424710 0.675403 0.361171 +0.068962 0.624797 -1.417705 -0.146297 -0.893431 0.424710 0.584713 0.341230 +0.119194 0.660955 -1.324339 -0.146297 -0.893431 0.424710 0.704988 0.313872 +0.103408 0.607254 -1.413538 -0.436858 -0.734393 0.519444 0.612203 0.313298 +0.119194 0.660955 -1.324339 -0.436858 -0.734393 0.519444 0.704988 0.313872 +0.068962 0.624797 -1.417705 -0.436858 -0.734393 0.519444 0.584713 0.341230 +0.103408 0.607254 -1.413538 -0.334335 -0.780107 0.528822 0.612203 0.313298 +0.122685 0.604309 -1.405695 -0.334335 -0.780107 0.528822 0.739920 0.327681 +0.119194 0.660955 -1.324339 -0.334335 -0.780107 0.528822 0.704988 0.313872 +0.139083 0.623711 -1.326727 -0.827838 -0.462441 0.317543 0.736747 0.305968 +0.119194 0.660955 -1.324339 -0.827838 -0.462441 0.317543 0.704988 0.313872 +0.132645 0.611443 -1.361377 -0.827838 -0.462441 0.317543 0.740717 0.315903 +0.119194 0.660955 -1.324339 -0.862851 -0.431424 0.263364 0.704988 0.313872 +0.122685 0.604309 -1.405695 -0.862851 -0.431424 0.263364 0.739920 0.327681 +0.132645 0.611443 -1.361377 -0.862851 -0.431424 0.263364 0.740717 0.315903 +0.258451 1.170118 -1.431602 -0.893153 0.002654 0.449746 0.174466 0.476115 +0.258878 1.174340 -1.430779 -0.893153 0.002654 0.449746 0.174085 0.473317 +0.249637 1.176748 -1.449145 -0.893153 0.002654 0.449746 0.184173 0.472028 +0.259831 1.166870 -1.434206 -0.824133 -0.523504 0.216216 0.320336 0.480857 +0.258451 1.170118 -1.431602 -0.824133 -0.523504 0.216216 0.319756 0.478307 +0.249637 1.176748 -1.449145 -0.824133 -0.523504 0.216216 0.322950 0.468271 +0.262452 1.165891 -1.437617 -0.538435 -0.823803 -0.177305 0.318901 0.483402 +0.259831 1.166870 -1.434206 -0.538435 -0.823803 -0.177305 0.320336 0.480857 +0.249637 1.176748 -1.449145 -0.538435 -0.823803 -0.177305 0.322950 0.468271 +0.265650 1.167361 -1.440051 -0.108815 -0.781182 -0.614747 0.315847 0.485326 +0.262452 1.165891 -1.437617 -0.108815 -0.781182 -0.614747 0.318901 0.483402 +0.249637 1.176748 -1.449145 -0.108815 -0.781182 -0.614747 0.322950 0.468271 +0.268273 1.170797 -1.440624 0.287365 -0.366928 -0.884752 0.312254 0.485916 +0.265650 1.167361 -1.440051 0.287365 -0.366928 -0.884752 0.315847 0.485326 +0.249637 1.176748 -1.449145 0.287365 -0.366928 -0.884752 0.322950 0.468271 +0.269053 1.175026 -1.439328 0.456479 0.182666 -0.870781 0.309617 0.484671 +0.268273 1.170797 -1.440624 0.456479 0.182666 -0.870781 0.312254 0.485916 +0.249637 1.176748 -1.449145 0.456479 0.182666 -0.870781 0.322950 0.468271 +0.267823 1.178335 -1.436418 0.375544 0.686836 -0.622272 0.308897 0.482214 +0.269053 1.175026 -1.439328 0.375544 0.686836 -0.622272 0.309617 0.484671 +0.249637 1.176748 -1.449145 0.375544 0.686836 -0.622272 0.322950 0.468271 +0.264899 1.179409 -1.433226 0.087210 0.965588 -0.245017 0.310508 0.479383 +0.267823 1.178335 -1.436418 0.087210 0.965588 -0.245017 0.308897 0.482214 +0.249637 1.176748 -1.449145 0.087210 0.965588 -0.245017 0.322950 0.468271 +0.261322 1.177856 -1.431329 -0.323573 0.933559 0.154167 0.313878 0.477190 +0.264899 1.179409 -1.433226 -0.323573 0.933559 0.154167 0.310508 0.479383 +0.249637 1.176748 -1.449145 -0.323573 0.933559 0.154167 0.322950 0.468271 +0.258878 1.174340 -1.430779 -0.708474 0.559718 0.429861 0.317380 0.476780 +0.261322 1.177856 -1.431329 -0.708474 0.559718 0.429861 0.313878 0.477190 +0.249637 1.176748 -1.449145 -0.708474 0.559718 0.429861 0.322950 0.468271 +0.283652 1.147220 -1.359002 -0.902164 0.402104 0.156241 0.317201 0.617977 +0.284036 1.157102 -1.382217 -0.902164 0.402104 0.156241 0.311289 0.620755 +0.277853 1.135619 -1.362630 -0.902164 0.402104 0.156241 0.322010 0.609306 +0.280568 1.147628 -1.383995 -0.940946 0.331869 0.066966 0.315721 0.614956 +0.277853 1.135619 -1.362630 -0.940946 0.331869 0.066966 0.322010 0.609306 +0.284036 1.157102 -1.382217 -0.940946 0.331869 0.066966 0.311289 0.620755 +0.277853 1.135619 -1.362630 -0.980955 -0.087096 -0.173611 0.322010 0.609306 +0.280568 1.147628 -1.383995 -0.980955 -0.087096 -0.173611 0.315721 0.614956 +0.279987 1.123823 -1.368770 -0.980955 -0.087096 -0.173611 0.330101 0.608611 +0.282051 1.140099 -1.390649 -0.987336 -0.067671 -0.143483 0.320933 0.614635 +0.279987 1.123823 -1.368770 -0.987336 -0.067671 -0.143483 0.330101 0.608611 +0.280568 1.147628 -1.383995 -0.987336 -0.067671 -0.143483 0.315721 0.614956 +0.279987 1.123823 -1.368770 -0.726574 -0.516684 -0.452910 0.484726 0.669935 +0.282051 1.140099 -1.390649 -0.726574 -0.516684 -0.452910 0.488051 0.680388 +0.289240 1.116338 -1.375075 -0.726574 -0.516684 -0.452910 0.494229 0.663998 +0.287698 1.137627 -1.399218 -0.787445 -0.486401 -0.378609 0.493992 0.678140 +0.289240 1.116338 -1.375075 -0.787445 -0.486401 -0.378609 0.494229 0.663998 +0.282051 1.140099 -1.390649 -0.787445 -0.486401 -0.378609 0.488051 0.680388 +0.289240 1.116338 -1.375075 -0.219787 -0.738629 -0.637276 0.494229 0.663998 +0.287698 1.137627 -1.399218 -0.219787 -0.738629 -0.637276 0.493992 0.678140 +0.302076 1.116024 -1.379138 -0.219787 -0.738629 -0.637276 0.508089 0.662371 +0.294956 1.140856 -1.406136 -0.256772 -0.744132 -0.616714 0.502058 0.679456 +0.302076 1.116024 -1.379138 -0.256772 -0.744132 -0.616714 0.508089 0.662371 +0.287698 1.137627 -1.399218 -0.256772 -0.744132 -0.616714 0.493992 0.678140 +0.302076 1.116024 -1.379138 0.368077 -0.633954 -0.680163 0.508089 0.662371 +0.294956 1.140856 -1.406136 0.368077 -0.633954 -0.680163 0.502058 0.679456 +0.313594 1.122999 -1.379406 0.368077 -0.633954 -0.680163 0.521012 0.665674 +0.301081 1.148293 -1.408959 0.411036 -0.599284 -0.686955 0.509180 0.683658 +0.313594 1.122999 -1.379406 0.411036 -0.599284 -0.686955 0.521012 0.665674 +0.294956 1.140856 -1.406136 0.411036 -0.599284 -0.686955 0.502058 0.679456 +0.313594 1.122999 -1.379406 0.807151 -0.233967 -0.542003 0.521012 0.665674 +0.301081 1.148293 -1.408959 0.807151 -0.233967 -0.542003 0.509180 0.683658 +0.319393 1.134600 -1.375778 0.807151 -0.233967 -0.542003 0.528063 0.672645 +0.303994 1.157166 -1.406916 0.836886 -0.153792 -0.525328 0.512926 0.689159 +0.319393 1.134600 -1.375778 0.836886 -0.153792 -0.525328 0.528063 0.672645 +0.301081 1.148293 -1.408959 0.836886 -0.153792 -0.525328 0.509180 0.683658 +0.319393 1.134600 -1.375778 0.924132 0.294121 -0.243869 0.528063 0.672645 +0.303994 1.157166 -1.406916 0.924132 0.294121 -0.243869 0.512926 0.689159 +0.317259 1.146396 -1.369638 0.924132 0.294121 -0.243869 0.526548 0.680623 +0.302777 1.164291 -1.400832 0.910826 0.346779 -0.223921 0.512089 0.693970 +0.317259 1.146396 -1.369638 0.910826 0.346779 -0.223921 0.526548 0.680623 +0.303994 1.157166 -1.406916 0.910826 0.346779 -0.223921 0.512926 0.689159 +0.317259 1.146396 -1.369638 0.669539 0.734508 0.110525 0.336352 0.493335 +0.302777 1.164291 -1.400832 0.669539 0.734508 0.110525 0.319135 0.502863 +0.308007 1.153881 -1.363333 0.669539 0.734508 0.110525 0.325711 0.496843 +0.297823 1.167120 -1.392846 0.634515 0.763009 0.123322 0.313546 0.503971 +0.308007 1.153881 -1.363333 0.634515 0.763009 0.123322 0.325711 0.496843 +0.302777 1.164291 -1.400832 0.634515 0.763009 0.123322 0.319135 0.502863 +0.308007 1.153881 -1.363333 0.138136 0.920587 0.365293 0.372592 0.528559 +0.297823 1.167120 -1.392846 0.138136 0.920587 0.365293 0.361795 0.519490 +0.295170 1.154195 -1.359270 0.138136 0.920587 0.365293 0.369559 0.514937 +0.290735 1.164499 -1.385752 0.015703 0.932710 0.360286 0.361926 0.511595 +0.295170 1.154195 -1.359270 0.015703 0.932710 0.360286 0.369559 0.514937 +0.297823 1.167120 -1.392846 0.015703 0.932710 0.360286 0.361795 0.519490 +0.295170 1.154195 -1.359270 -0.470963 0.792600 0.387272 0.178948 0.537776 +0.290735 1.164499 -1.385752 -0.470963 0.792600 0.387272 0.176533 0.529800 +0.283652 1.147220 -1.359002 -0.470963 0.792600 0.387272 0.190258 0.530706 +0.284036 1.157102 -1.382217 -0.634412 0.714966 0.293846 0.184852 0.527039 +0.283652 1.147220 -1.359002 -0.634412 0.714966 0.293846 0.190258 0.530706 +0.290735 1.164499 -1.385752 -0.634412 0.714966 0.293846 0.176533 0.529800 +0.279678 1.133962 -1.332219 -0.720581 0.657951 0.218777 0.323755 0.610751 +0.283652 1.147220 -1.359002 -0.720581 0.657951 0.218777 0.317201 0.617977 +0.269289 1.125993 -1.342471 -0.720581 0.657951 0.218777 0.324505 0.598317 +0.277853 1.135619 -1.362630 -0.867339 0.477486 -0.140464 0.322010 0.609306 +0.269289 1.125993 -1.342471 -0.867339 0.477486 -0.140464 0.324505 0.598317 +0.283652 1.147220 -1.359002 -0.867339 0.477486 -0.140464 0.317201 0.617977 +0.269289 1.125993 -1.342471 -0.916872 0.322196 -0.235659 0.324505 0.598317 +0.277853 1.135619 -1.362630 -0.916872 0.322196 -0.235659 0.322010 0.609306 +0.267416 1.113071 -1.352851 -0.916872 0.322196 -0.235659 0.331690 0.593298 +0.279987 1.123823 -1.368770 -0.820835 0.139766 -0.553801 0.330101 0.608611 +0.267416 1.113071 -1.352851 -0.820835 0.139766 -0.553801 0.331690 0.593298 +0.277853 1.135619 -1.362630 -0.820835 0.139766 -0.553801 0.322010 0.609306 +0.267416 1.113071 -1.352851 -0.756418 -0.077250 -0.649510 0.470411 0.664270 +0.279987 1.123823 -1.368770 -0.756418 -0.077250 -0.649510 0.484726 0.669935 +0.274666 1.099968 -1.359736 -0.756418 -0.077250 -0.649510 0.477370 0.654868 +0.289240 1.116338 -1.375075 -0.634885 -0.145724 -0.758740 0.494229 0.663998 +0.274666 1.099968 -1.359736 -0.634885 -0.145724 -0.758740 0.477370 0.654868 +0.279987 1.123823 -1.368770 -0.634885 -0.145724 -0.758740 0.484726 0.669935 +0.274666 1.099968 -1.359736 -0.335727 -0.467411 -0.817811 0.477370 0.654868 +0.289240 1.116338 -1.375075 -0.335727 -0.467411 -0.817811 0.494229 0.663998 +0.288390 1.091232 -1.360377 -0.335727 -0.467411 -0.817811 0.491624 0.647616 +0.302076 1.116024 -1.379138 -0.275575 -0.478697 -0.833611 0.508089 0.662371 +0.288390 1.091232 -1.360377 -0.275575 -0.478697 -0.833611 0.491624 0.647616 +0.289240 1.116338 -1.375075 -0.275575 -0.478697 -0.833611 0.494229 0.663998 +0.288390 1.091232 -1.360377 0.234910 -0.665676 -0.708303 0.491624 0.647616 +0.302076 1.116024 -1.379138 0.234910 -0.665676 -0.708303 0.508089 0.662371 +0.303621 1.090079 -1.354242 0.234910 -0.665676 -0.708303 0.508017 0.645173 +0.313594 1.122999 -1.379406 0.367175 -0.632533 -0.681972 0.521012 0.665674 +0.303621 1.090079 -1.354242 0.367175 -0.632533 -0.681972 0.508017 0.645173 +0.302076 1.116024 -1.379138 0.367175 -0.632533 -0.681972 0.508089 0.662371 +0.303621 1.090079 -1.354242 0.743756 -0.533340 -0.402959 0.508017 0.645173 +0.313594 1.122999 -1.379406 0.743756 -0.533340 -0.402959 0.521012 0.665674 +0.314608 1.097327 -1.343556 0.743756 -0.533340 -0.402959 0.520384 0.648713 +0.319393 1.134600 -1.375778 0.890685 -0.357324 -0.281070 0.528063 0.672645 +0.314608 1.097327 -1.343556 0.890685 -0.357324 -0.281070 0.520384 0.648713 +0.313594 1.122999 -1.379406 0.890685 -0.357324 -0.281070 0.521012 0.665674 +0.314608 1.097327 -1.343556 0.988597 -0.148498 -0.024969 0.520384 0.648713 +0.319393 1.134600 -1.375778 0.988597 -0.148498 -0.024969 0.528063 0.672645 +0.316874 1.110568 -1.332587 0.988597 -0.148498 -0.024969 0.523724 0.657152 +0.317259 1.146396 -1.369638 0.985891 0.115093 0.121539 0.526548 0.680623 +0.316874 1.110568 -1.332587 0.985891 0.115093 0.121539 0.523724 0.657152 +0.319393 1.134600 -1.375778 0.985891 0.115093 0.121539 0.528063 0.672645 +0.316874 1.110568 -1.332587 0.889605 0.323677 0.322237 0.523724 0.657152 +0.317259 1.146396 -1.369638 0.889605 0.323677 0.322237 0.526548 0.680623 +0.309308 1.124591 -1.325785 0.889605 0.323677 0.322237 0.516484 0.667193 +0.308007 1.153881 -1.363333 0.725917 0.554273 0.407219 0.517045 0.686559 +0.309308 1.124591 -1.325785 0.725917 0.554273 0.407219 0.516484 0.667193 +0.317259 1.146396 -1.369638 0.725917 0.554273 0.407219 0.526548 0.680623 +0.309308 1.124591 -1.325785 0.447342 0.712635 0.540404 0.516484 0.667193 +0.308007 1.153881 -1.363333 0.447342 0.712635 0.540404 0.517045 0.686559 +0.294958 1.133573 -1.325751 0.447342 0.712635 0.540404 0.501571 0.674676 +0.295170 1.154195 -1.359270 0.183759 0.836694 0.515921 0.503185 0.688187 +0.294958 1.133573 -1.325751 0.183759 0.836694 0.515921 0.501571 0.674676 +0.308007 1.153881 -1.363333 0.183759 0.836694 0.515921 0.517045 0.686559 +0.294958 1.133573 -1.325751 -0.195858 0.835774 0.512954 0.330083 0.626110 +0.295170 1.154195 -1.359270 -0.195858 0.835774 0.512954 0.317510 0.631312 +0.279678 1.133962 -1.332219 -0.195858 0.835774 0.512954 0.323755 0.610751 +0.283652 1.147220 -1.359002 -0.483406 0.810936 0.329698 0.317201 0.617977 +0.279678 1.133962 -1.332219 -0.483406 0.810936 0.329698 0.323755 0.610751 +0.295170 1.154195 -1.359270 -0.483406 0.810936 0.329698 0.317510 0.631312 +0.257984 1.110665 -1.289274 -0.155451 0.916085 0.369625 0.329408 0.583177 +0.268578 1.120256 -1.308589 -0.155451 0.916085 0.369625 0.327743 0.596210 +0.242488 1.114672 -1.305722 -0.155451 0.916085 0.369625 0.320773 0.568474 +0.254957 1.115359 -1.321908 -0.221097 0.966643 -0.129295 0.325321 0.581251 +0.242488 1.114672 -1.305722 -0.221097 0.966643 -0.129295 0.320773 0.568474 +0.268578 1.120256 -1.308589 -0.221097 0.966643 -0.129295 0.327743 0.596210 +0.242488 1.114672 -1.305722 -0.378777 0.889945 -0.254021 0.190725 0.513192 +0.254957 1.115359 -1.321908 -0.378777 0.889945 -0.254021 0.177190 0.512337 +0.230621 1.104962 -1.322045 -0.378777 0.889945 -0.254021 0.203429 0.519979 +0.249879 1.102068 -1.335757 -0.312787 0.739981 -0.595476 0.182447 0.521266 +0.230621 1.104962 -1.322045 -0.312787 0.739981 -0.595476 0.203429 0.519979 +0.254957 1.115359 -1.321908 -0.312787 0.739981 -0.595476 0.177190 0.512337 +0.230621 1.104962 -1.322045 -0.465114 0.467305 -0.751862 0.430077 0.663021 +0.249879 1.102068 -1.335757 -0.465114 0.467305 -0.751862 0.450708 0.658990 +0.226916 1.085243 -1.332009 -0.465114 0.467305 -0.751862 0.424745 0.650490 +0.254542 1.085416 -1.344734 -0.393980 0.348225 -0.850599 0.454631 0.647545 +0.226916 1.085243 -1.332009 -0.393980 0.348225 -0.850599 0.424745 0.650490 +0.249879 1.102068 -1.335757 -0.393980 0.348225 -0.850599 0.450708 0.658990 +0.226916 1.085243 -1.332009 -0.414839 -0.117937 -0.902219 0.424745 0.650490 +0.254542 1.085416 -1.344734 -0.414839 -0.117937 -0.902219 0.454631 0.647545 +0.232787 1.063047 -1.331807 -0.414839 -0.117937 -0.902219 0.429603 0.635273 +0.268365 1.071792 -1.346147 -0.316120 -0.225155 -0.921615 0.468663 0.637074 +0.232787 1.063047 -1.331807 -0.316120 -0.225155 -0.921615 0.429603 0.635273 +0.254542 1.085416 -1.344734 -0.316120 -0.225155 -0.921615 0.454631 0.647545 +0.232787 1.063047 -1.331807 -0.147439 -0.638628 -0.755259 0.429603 0.635273 +0.268365 1.071792 -1.346147 -0.147439 -0.638628 -0.755259 0.468663 0.637074 +0.242641 1.050722 -1.323309 -0.147439 -0.638628 -0.755259 0.439431 0.626094 +0.286550 1.068406 -1.340647 0.052827 -0.762908 -0.644345 0.488101 0.632839 +0.242641 1.050722 -1.323309 0.052827 -0.762908 -0.644345 0.439431 0.626094 +0.268365 1.071792 -1.346147 0.052827 -0.762908 -0.644345 0.468663 0.637074 +0.242641 1.050722 -1.323309 0.234484 -0.912053 -0.336416 0.439431 0.626094 +0.286550 1.068406 -1.340647 0.234484 -0.912053 -0.336416 0.488101 0.632839 +0.254410 1.046883 -1.304698 0.234484 -0.912053 -0.336416 0.451900 0.622271 +0.303166 1.075417 -1.329213 0.455395 -0.882037 -0.120941 0.506539 0.635601 +0.254410 1.046883 -1.304698 0.455395 -0.882037 -0.120941 0.451900 0.622271 +0.286550 1.068406 -1.340647 0.455395 -0.882037 -0.120941 0.488101 0.632839 +0.254410 1.046883 -1.304698 0.540656 -0.834846 0.103557 0.451900 0.622271 +0.303166 1.075417 -1.329213 0.540656 -0.834846 0.103557 0.506539 0.635601 +0.266277 1.056593 -1.288375 0.540656 -0.834846 0.103557 0.465385 0.627331 +0.308512 1.089215 -1.316096 0.706277 -0.611975 0.355893 0.513247 0.644065 +0.266277 1.056593 -1.288375 0.706277 -0.611975 0.355893 0.465385 0.627331 +0.303166 1.075417 -1.329213 0.706277 -0.611975 0.355893 0.506539 0.635601 +0.266277 1.056593 -1.288375 0.702236 -0.421791 0.573547 0.465385 0.627331 +0.308512 1.089215 -1.316096 0.702236 -0.421791 0.573547 0.513247 0.644065 +0.269983 1.076312 -1.278411 0.702236 -0.421791 0.573547 0.470717 0.639862 +0.301198 1.104480 -1.305795 0.714619 -0.122363 0.688729 0.506363 0.654892 +0.269983 1.076312 -1.278411 0.714619 -0.122363 0.688729 0.470717 0.639862 +0.308512 1.089215 -1.316096 0.714619 -0.122363 0.688729 0.513247 0.644065 +0.269983 1.076312 -1.278411 0.576964 0.142483 0.804246 0.470717 0.639862 +0.301198 1.104480 -1.305795 0.576964 0.142483 0.804246 0.506363 0.654892 +0.267838 1.098341 -1.280775 0.576964 0.142483 0.804246 0.469877 0.654556 +0.285145 1.116210 -1.302507 0.481943 0.448591 0.752660 0.489793 0.664367 +0.267838 1.098341 -1.280775 0.481943 0.448591 0.752660 0.469877 0.654556 +0.301198 1.104480 -1.305795 0.481943 0.448591 0.752660 0.506363 0.654892 +0.267838 1.098341 -1.280775 0.213294 0.664477 0.716223 0.469877 0.654556 +0.285145 1.116210 -1.302507 0.213294 0.664477 0.716223 0.489793 0.664367 +0.257984 1.110665 -1.289274 0.213294 0.664477 0.716223 0.460049 0.663735 +0.268578 1.120256 -1.308589 0.045596 0.884539 0.464232 0.472149 0.668857 +0.257984 1.110665 -1.289274 0.045596 0.884539 0.464232 0.460049 0.663735 +0.285145 1.116210 -1.302507 0.045596 0.884539 0.464232 0.489793 0.664367 +0.246845 1.101758 -1.260431 0.363743 0.841136 0.400226 0.330436 0.569757 +0.257984 1.110665 -1.289274 0.363743 0.841136 0.400226 0.329408 0.583177 +0.236921 1.116675 -1.282762 0.363743 0.841136 0.400226 0.317325 0.563329 +0.242488 1.114672 -1.305722 0.268959 0.962968 -0.018798 0.320773 0.568474 +0.236921 1.116675 -1.282762 0.268959 0.962968 -0.018798 0.317325 0.563329 +0.257984 1.110665 -1.289274 0.268959 0.962968 -0.018798 0.329408 0.583177 +0.236921 1.116675 -1.282762 0.003347 0.996280 -0.086106 0.196812 0.512051 +0.242488 1.114672 -1.305722 0.003347 0.996280 -0.086106 0.190725 0.513192 +0.222856 1.114574 -1.307619 0.003347 0.996280 -0.086106 0.212054 0.513891 +0.230621 1.104962 -1.322045 0.047584 0.842880 -0.535994 0.203429 0.519979 +0.222856 1.114574 -1.307619 0.047584 0.842880 -0.535994 0.212054 0.513891 +0.242488 1.114672 -1.305722 0.047584 0.842880 -0.535994 0.190725 0.513192 +0.222856 1.114574 -1.307619 -0.215118 0.755314 -0.619052 0.313862 0.590653 +0.230621 1.104962 -1.322045 -0.215118 0.755314 -0.619052 0.314696 0.601177 +0.210022 1.096257 -1.325508 -0.215118 0.755314 -0.619052 0.331539 0.585344 +0.226916 1.085243 -1.332009 -0.043828 0.457107 -0.888331 0.327839 0.604743 +0.210022 1.096257 -1.325508 -0.043828 0.457107 -0.888331 0.331539 0.585344 +0.230621 1.104962 -1.322045 -0.043828 0.457107 -0.888331 0.314696 0.601177 +0.210022 1.096257 -1.325508 -0.236453 0.198701 -0.951109 0.462711 0.662268 +0.226916 1.085243 -1.332009 -0.236453 0.198701 -0.951109 0.480391 0.671068 +0.203321 1.068720 -1.329595 -0.236453 0.198701 -0.951109 0.471352 0.644707 +0.232787 1.063047 -1.331807 -0.080644 -0.030395 -0.996279 0.495548 0.666025 +0.203321 1.068720 -1.329595 -0.080644 -0.030395 -0.996279 0.471352 0.644707 +0.226916 1.085243 -1.332009 -0.080644 -0.030395 -0.996279 0.480391 0.671068 +0.203321 1.068720 -1.329595 -0.144933 -0.399909 -0.905023 0.398121 0.642258 +0.232787 1.063047 -1.331807 -0.144933 -0.399909 -0.905023 0.429603 0.635273 +0.205313 1.042482 -1.318320 -0.144933 -0.399909 -0.905023 0.398513 0.624818 +0.242641 1.050722 -1.323309 0.013058 -0.560499 -0.828052 0.439431 0.626094 +0.205313 1.042482 -1.318320 0.013058 -0.560499 -0.828052 0.398513 0.624818 +0.232787 1.063047 -1.331807 0.013058 -0.560499 -0.828052 0.429603 0.635273 +0.205313 1.042482 -1.318320 0.100054 -0.806258 -0.583041 0.398513 0.624818 +0.242641 1.050722 -1.323309 0.100054 -0.806258 -0.583041 0.439431 0.626094 +0.215237 1.027565 -1.295989 0.100054 -0.806258 -0.583041 0.408242 0.613930 +0.254410 1.046883 -1.304698 0.336252 -0.857449 -0.389507 0.451900 0.622271 +0.215237 1.027565 -1.295989 0.336252 -0.857449 -0.389507 0.408242 0.613930 +0.242641 1.050722 -1.323309 0.336252 -0.857449 -0.389507 0.439431 0.626094 +0.215237 1.027565 -1.295989 0.408925 -0.899249 -0.155340 0.408242 0.613930 +0.254410 1.046883 -1.304698 0.408925 -0.899249 -0.155340 0.451900 0.622271 +0.229302 1.029667 -1.271132 0.408925 -0.899249 -0.155340 0.423592 0.613752 +0.266277 1.056593 -1.288375 0.600059 -0.799002 0.039048 0.465385 0.627331 +0.229302 1.029667 -1.271132 0.600059 -0.799002 0.039048 0.423592 0.613752 +0.254410 1.046883 -1.304698 0.600059 -0.799002 0.039048 0.451900 0.622271 +0.229302 1.029667 -1.271132 0.654054 -0.643260 0.398031 0.423592 0.613752 +0.266277 1.056593 -1.288375 0.654054 -0.643260 0.398031 0.465385 0.627331 +0.239249 1.047984 -1.257875 0.654054 -0.643260 0.398031 0.435579 0.624672 +0.269983 1.076312 -1.278411 0.736977 -0.410029 0.537346 0.470717 0.639862 +0.239249 1.047984 -1.257875 0.736977 -0.410029 0.537346 0.435579 0.624672 +0.266277 1.056593 -1.288375 0.736977 -0.410029 0.537346 0.465385 0.627331 +0.239249 1.047984 -1.257875 0.693737 -0.268043 0.668492 0.435579 0.624672 +0.269983 1.076312 -1.278411 0.693737 -0.268043 0.668492 0.470717 0.639862 +0.245950 1.075520 -1.253788 0.693737 -0.268043 0.668492 0.444675 0.642002 +0.267838 1.098341 -1.280775 0.705951 0.143173 0.693639 0.469877 0.654556 +0.245950 1.075520 -1.253788 0.705951 0.143173 0.693639 0.444675 0.642002 +0.269983 1.076312 -1.278411 0.705951 0.143173 0.693639 0.470717 0.639862 +0.245950 1.075520 -1.253788 0.700464 0.152621 0.697178 0.444675 0.642002 +0.267838 1.098341 -1.280775 0.700464 0.152621 0.697178 0.469877 0.654556 +0.246845 1.101758 -1.260431 0.700464 0.152621 0.697178 0.447406 0.659122 +0.257984 1.110665 -1.289274 0.535953 0.725862 0.431136 0.460049 0.663735 +0.246845 1.101758 -1.260431 0.535953 0.725862 0.431136 0.447406 0.659122 +0.267838 1.098341 -1.280775 0.535953 0.725862 0.431136 0.469877 0.654556 +0.268578 1.120256 -1.308589 -0.521515 0.821270 0.231383 0.327743 0.596210 +0.279678 1.133962 -1.332219 -0.521515 0.821270 0.231383 0.323755 0.610751 +0.254957 1.115359 -1.321908 -0.521515 0.821270 0.231383 0.325321 0.581251 +0.269289 1.125993 -1.342471 -0.603465 0.797346 -0.008259 0.324505 0.598317 +0.254957 1.115359 -1.321908 -0.603465 0.797346 -0.008259 0.325321 0.581251 +0.279678 1.133962 -1.332219 -0.603465 0.797346 -0.008259 0.323755 0.610751 +0.254957 1.115359 -1.321908 -0.784701 0.565151 -0.254655 0.325321 0.581251 +0.269289 1.125993 -1.342471 -0.784701 0.565151 -0.254655 0.324505 0.598317 +0.249879 1.102068 -1.335757 -0.784701 0.565151 -0.254655 0.331455 0.572901 +0.267416 1.113071 -1.352851 -0.748283 0.477978 -0.460011 0.331690 0.593298 +0.249879 1.102068 -1.335757 -0.748283 0.477978 -0.460011 0.331455 0.572901 +0.269289 1.125993 -1.342471 -0.748283 0.477978 -0.460011 0.324505 0.598317 +0.249879 1.102068 -1.335757 -0.736629 0.149314 -0.659608 0.450708 0.658990 +0.267416 1.113071 -1.352851 -0.736629 0.149314 -0.659608 0.470411 0.664270 +0.254542 1.085416 -1.344734 -0.736629 0.149314 -0.659608 0.454631 0.647545 +0.274666 1.099968 -1.359736 -0.625275 0.062763 -0.777877 0.477370 0.654868 +0.254542 1.085416 -1.344734 -0.625275 0.062763 -0.777877 0.454631 0.647545 +0.267416 1.113071 -1.352851 -0.625275 0.062763 -0.777877 0.470411 0.664270 +0.254542 1.085416 -1.344734 -0.404967 -0.322136 -0.855704 0.454631 0.647545 +0.274666 1.099968 -1.359736 -0.404967 -0.322136 -0.855704 0.477370 0.654868 +0.268365 1.071792 -1.346147 -0.404967 -0.322136 -0.855704 0.468663 0.637074 +0.288390 1.091232 -1.360377 -0.275135 -0.367030 -0.888589 0.491624 0.647616 +0.268365 1.071792 -1.346147 -0.275135 -0.367030 -0.888589 0.468663 0.637074 +0.274666 1.099968 -1.359736 -0.275135 -0.367030 -0.888589 0.477370 0.654868 +0.268365 1.071792 -1.346147 0.104312 -0.655168 -0.748247 0.468663 0.637074 +0.288390 1.091232 -1.360377 0.104312 -0.655168 -0.748247 0.491624 0.647616 +0.286550 1.068406 -1.340647 0.104312 -0.655168 -0.748247 0.488101 0.632839 +0.303621 1.090079 -1.354242 0.242816 -0.645494 -0.724139 0.508017 0.645173 +0.286550 1.068406 -1.340647 0.242816 -0.645494 -0.724139 0.488101 0.632839 +0.288390 1.091232 -1.360377 0.242816 -0.645494 -0.724139 0.491624 0.647616 +0.286550 1.068406 -1.340647 0.577634 -0.708878 -0.404759 0.488101 0.632839 +0.303621 1.090079 -1.354242 0.577634 -0.708878 -0.404759 0.508017 0.645173 +0.303166 1.075417 -1.329213 0.577634 -0.708878 -0.404759 0.506539 0.635601 +0.314608 1.097327 -1.343556 0.724900 -0.600045 -0.338327 0.520384 0.648713 +0.303166 1.075417 -1.329213 0.724900 -0.600045 -0.338327 0.506539 0.635601 +0.303621 1.090079 -1.354242 0.724900 -0.600045 -0.338327 0.508017 0.645173 +0.303166 1.075417 -1.329213 0.903366 -0.422111 0.075847 0.506539 0.635601 +0.314608 1.097327 -1.343556 0.903366 -0.422111 0.075847 0.520384 0.648713 +0.308512 1.089215 -1.316096 0.903366 -0.422111 0.075847 0.513247 0.644065 +0.316874 1.110568 -1.332587 0.953320 -0.271920 0.131305 0.523724 0.657152 +0.308512 1.089215 -1.316096 0.953320 -0.271920 0.131305 0.513247 0.644065 +0.314608 1.097327 -1.343556 0.953320 -0.271920 0.131305 0.520384 0.648713 +0.308512 1.089215 -1.316096 0.855171 0.062509 0.514563 0.513247 0.644065 +0.316874 1.110568 -1.332587 0.855171 0.062509 0.514563 0.523724 0.657152 +0.301198 1.104480 -1.305795 0.855171 0.062509 0.514563 0.506363 0.654892 +0.309308 1.124591 -1.325785 0.827778 0.190677 0.527660 0.516484 0.667193 +0.301198 1.104480 -1.305795 0.827778 0.190677 0.527660 0.506363 0.654892 +0.316874 1.110568 -1.332587 0.827778 0.190677 0.527660 0.523724 0.657152 +0.301198 1.104480 -1.305795 0.506932 0.496189 0.704852 0.506363 0.654892 +0.309308 1.124591 -1.325785 0.506932 0.496189 0.704852 0.516484 0.667193 +0.285145 1.116210 -1.302507 0.506932 0.496189 0.704852 0.489793 0.664367 +0.294958 1.133573 -1.325751 0.403952 0.642894 0.650777 0.501571 0.674676 +0.285145 1.116210 -1.302507 0.403952 0.642894 0.650777 0.489793 0.664367 +0.309308 1.124591 -1.325785 0.403952 0.642894 0.650777 0.516484 0.667193 +0.285145 1.116210 -1.302507 -0.020923 0.805194 0.592642 0.489793 0.664367 +0.294958 1.133573 -1.325751 -0.020923 0.805194 0.592642 0.501571 0.674676 +0.268578 1.120256 -1.308589 -0.020923 0.805194 0.592642 0.472149 0.668857 +0.279678 1.133962 -1.332219 -0.162410 0.884736 0.436881 0.485073 0.676623 +0.268578 1.120256 -1.308589 -0.162410 0.884736 0.436881 0.472149 0.668857 +0.294958 1.133573 -1.325751 -0.162410 0.884736 0.436881 0.501571 0.674676 +0.284036 1.157102 -1.382217 -0.835479 0.210573 0.507576 0.184852 0.527039 +0.258878 1.174340 -1.430779 -0.835479 0.210573 0.507576 0.192632 0.498462 +0.280568 1.147628 -1.383995 -0.835479 0.210573 0.507576 0.192101 0.527891 +0.258451 1.170118 -1.431602 -0.905286 0.008761 0.424712 0.195117 0.499803 +0.280568 1.147628 -1.383995 -0.905286 0.008761 0.424712 0.192101 0.527891 +0.258878 1.174340 -1.430779 -0.905286 0.008761 0.424712 0.192632 0.498462 +0.280568 1.147628 -1.383995 -0.893570 -0.382992 0.234201 0.192101 0.527891 +0.258451 1.170118 -1.431602 -0.893570 -0.382992 0.234201 0.195117 0.499803 +0.282051 1.140099 -1.390649 -0.893570 -0.382992 0.234201 0.195037 0.532210 +0.259831 1.166870 -1.434206 -0.863911 -0.482589 0.144103 0.195890 0.502301 +0.282051 1.140099 -1.390649 -0.863911 -0.482589 0.144103 0.195037 0.532210 +0.258451 1.170118 -1.431602 -0.863911 -0.482589 0.144103 0.195117 0.499803 +0.282051 1.140099 -1.390649 -0.602206 -0.779603 -0.171951 0.195037 0.532210 +0.259831 1.166870 -1.434206 -0.602206 -0.779603 -0.171951 0.195890 0.502301 +0.287698 1.137627 -1.399218 -0.602206 -0.779603 -0.171951 0.192563 0.538060 +0.262452 1.165891 -1.437617 -0.569969 -0.794382 -0.209980 0.194654 0.504948 +0.287698 1.137627 -1.399218 -0.569969 -0.794382 -0.209980 0.192563 0.538060 +0.259831 1.166870 -1.434206 -0.569969 -0.794382 -0.209980 0.195890 0.502301 +0.287698 1.137627 -1.399218 -0.132208 -0.837790 -0.529744 0.192563 0.538060 +0.262452 1.165891 -1.437617 -0.132208 -0.837790 -0.529744 0.194654 0.504948 +0.294956 1.140856 -1.406136 -0.132208 -0.837790 -0.529744 0.186043 0.542987 +0.265650 1.167361 -1.440051 -0.066305 -0.813182 -0.578220 0.191757 0.507100 +0.294956 1.140856 -1.406136 -0.066305 -0.813182 -0.578220 0.186043 0.542987 +0.262452 1.165891 -1.437617 -0.066305 -0.813182 -0.578220 0.194654 0.504948 +0.294956 1.140856 -1.406136 0.347606 -0.569135 -0.745155 0.186043 0.542987 +0.265650 1.167361 -1.440051 0.347606 -0.569135 -0.745155 0.191757 0.507100 +0.301081 1.148293 -1.408959 0.347606 -0.569135 -0.745155 0.178086 0.545239 +0.268273 1.170797 -1.440624 0.432932 -0.459805 -0.775338 0.188218 0.507962 +0.301081 1.148293 -1.408959 0.432932 -0.459805 -0.775338 0.178086 0.545239 +0.265650 1.167361 -1.440051 0.432932 -0.459805 -0.775338 0.191757 0.507100 +0.301081 1.148293 -1.408959 0.674810 -0.052040 -0.736154 0.374675 0.520439 +0.268273 1.170797 -1.440624 0.674810 -0.052040 -0.736154 0.352906 0.488528 +0.303994 1.157166 -1.406916 0.674810 -0.052040 -0.736154 0.369585 0.524727 +0.269053 1.175026 -1.439328 0.701148 0.087537 -0.707622 0.350346 0.489924 +0.303994 1.157166 -1.406916 0.701148 0.087537 -0.707622 0.369585 0.524727 +0.268273 1.170797 -1.440624 0.701148 0.087537 -0.707622 0.352906 0.488528 +0.303994 1.157166 -1.406916 0.707383 0.524972 -0.473301 0.369585 0.524727 +0.269053 1.175026 -1.439328 0.707383 0.524972 -0.473301 0.350346 0.489924 +0.302777 1.164291 -1.400832 0.707383 0.524972 -0.473301 0.364714 0.524384 +0.267823 1.178335 -1.436418 0.670252 0.614756 -0.415736 0.347937 0.489058 +0.302777 1.164291 -1.400832 0.670252 0.614756 -0.415736 0.364714 0.524384 +0.269053 1.175026 -1.439328 0.670252 0.614756 -0.415736 0.350346 0.489924 +0.302777 1.164291 -1.400832 0.422641 0.904426 -0.058205 0.364714 0.524384 +0.267823 1.178335 -1.436418 0.422641 0.904426 -0.058205 0.347937 0.489058 +0.297823 1.167120 -1.392846 0.422641 0.904426 -0.058205 0.361795 0.519490 +0.264899 1.179409 -1.433226 0.347106 0.937823 0.002398 0.346598 0.486088 +0.297823 1.167120 -1.392846 0.347106 0.937823 0.002398 0.361795 0.519490 +0.267823 1.178335 -1.436418 0.347106 0.937823 0.002398 0.347937 0.489058 +0.297823 1.167120 -1.392846 -0.034025 0.948059 0.316270 0.361795 0.519490 +0.264899 1.179409 -1.433226 -0.034025 0.948059 0.316270 0.346598 0.486088 +0.290735 1.164499 -1.385752 -0.034025 0.948059 0.316270 0.361926 0.511595 +0.261322 1.177856 -1.431329 -0.187602 0.903310 0.385794 0.346813 0.482073 +0.290735 1.164499 -1.385752 -0.187602 0.903310 0.385794 0.361926 0.511595 +0.264899 1.179409 -1.433226 -0.187602 0.903310 0.385794 0.346598 0.486088 +0.290735 1.164499 -1.385752 -0.492984 0.695967 0.522108 0.176533 0.529800 +0.261322 1.177856 -1.431329 -0.492984 0.695967 0.522108 0.189171 0.499138 +0.284036 1.157102 -1.382217 -0.492984 0.695967 0.522108 0.184852 0.527039 +0.258878 1.174340 -1.430779 -0.654970 0.538251 0.530377 0.192632 0.498462 +0.284036 1.157102 -1.382217 -0.654970 0.538251 0.530377 0.184852 0.527039 +0.261322 1.177856 -1.431329 -0.654970 0.538251 0.530377 0.189171 0.499138 +0.205313 1.042482 -1.318320 0.896061 -0.116097 -0.428482 0.485673 0.634746 +0.184488 1.012516 -1.353751 0.896061 -0.116097 -0.428482 0.485242 0.604695 +0.203321 1.068720 -1.329595 0.896061 -0.116097 -0.428482 0.471352 0.644707 +0.163428 1.039889 -1.392704 0.857007 -0.067609 -0.510851 0.456507 0.599741 +0.203321 1.068720 -1.329595 0.857007 -0.067609 -0.510851 0.471352 0.644707 +0.184488 1.012516 -1.353751 0.857007 -0.067609 -0.510851 0.485242 0.604695 +0.184488 1.012516 -1.353751 0.907433 -0.183912 -0.377811 0.485242 0.604695 +0.205313 1.042482 -1.318320 0.907433 -0.183912 -0.377811 0.485673 0.634746 +0.200128 1.001052 -1.310606 0.907433 -0.183912 -0.377811 0.502231 0.612282 +0.215237 1.027565 -1.295989 0.839185 -0.199245 -0.506033 0.500203 0.636190 +0.200128 1.001052 -1.310606 0.839185 -0.199245 -0.506033 0.502231 0.612282 +0.205313 1.042482 -1.318320 0.839185 -0.199245 -0.506033 0.485673 0.634746 +0.229302 1.029667 -1.271132 0.731650 -0.575522 -0.365325 0.423592 0.613752 +0.216812 1.004349 -1.256261 0.731650 -0.575522 -0.365325 0.408385 0.598519 +0.215237 1.027565 -1.295989 0.731650 -0.575522 -0.365325 0.408242 0.613930 +0.200128 1.001052 -1.310606 0.893985 -0.370540 -0.251975 0.390122 0.598202 +0.215237 1.027565 -1.295989 0.893985 -0.370540 -0.251975 0.408242 0.613930 +0.216812 1.004349 -1.256261 0.893985 -0.370540 -0.251975 0.408385 0.598519 +0.210022 1.096257 -1.325508 0.827281 -0.119856 -0.548854 0.462711 0.662268 +0.203321 1.068720 -1.329595 0.827281 -0.119856 -0.548854 0.471352 0.644707 +0.185016 1.120970 -1.368596 0.827281 -0.119856 -0.548854 0.432414 0.652952 +0.163428 1.039889 -1.392704 0.858384 -0.077776 -0.507077 0.456507 0.599741 +0.185016 1.120970 -1.368596 0.858384 -0.077776 -0.507077 0.432414 0.652952 +0.203321 1.068720 -1.329595 0.858384 -0.077776 -0.507077 0.471352 0.644707 +0.222856 1.114574 -1.307619 0.773869 0.072285 -0.629207 0.212054 0.513891 +0.210022 1.096257 -1.325508 0.773869 0.072285 -0.629207 0.225639 0.526384 +0.206980 1.147182 -1.323399 0.773869 0.072285 -0.629207 0.229942 0.492901 +0.185016 1.120970 -1.368596 0.880032 0.072010 -0.469423 0.253294 0.510894 +0.206980 1.147182 -1.323399 0.880032 0.072010 -0.469423 0.229942 0.492901 +0.210022 1.096257 -1.325508 0.880032 0.072010 -0.469423 0.225639 0.526384 +0.236921 1.116675 -1.282762 0.829831 0.263596 -0.491831 0.196812 0.512051 +0.222856 1.114574 -1.307619 0.829831 0.263596 -0.491831 0.212054 0.513891 +0.228412 1.165832 -1.270773 0.829831 0.263596 -0.491831 0.207021 0.479911 +0.206980 1.147182 -1.323399 0.874996 0.216447 -0.433050 0.229942 0.492901 +0.228412 1.165832 -1.270773 0.874996 0.216447 -0.433050 0.207021 0.479911 +0.222856 1.114574 -1.307619 0.874996 0.216447 -0.433050 0.212054 0.513891 +0.372903 1.083700 -1.126281 0.305150 0.769511 -0.561013 0.582506 0.633317 +0.361278 1.063353 -1.160513 0.305150 0.769511 -0.561013 0.568569 0.621251 +0.355910 1.088021 -1.129597 0.305150 0.769511 -0.561013 0.564421 0.638034 +0.343269 1.072610 -1.163795 0.466136 0.729239 -0.500927 0.549717 0.629320 +0.355910 1.088021 -1.129597 0.466136 0.729239 -0.500927 0.564421 0.638034 +0.361278 1.063353 -1.160513 0.466136 0.729239 -0.500927 0.568569 0.621251 +0.305364 1.009540 -1.183834 0.073586 -0.156609 -0.984916 0.504491 0.592124 +0.285269 0.993891 -1.182847 0.073586 -0.156609 -0.984916 0.481709 0.584078 +0.279820 1.025279 -1.188245 0.073586 -0.156609 -0.984916 0.477925 0.605281 +0.265864 1.016200 -1.184636 -0.128330 -0.189685 -0.973422 0.462224 0.600867 +0.279820 1.025279 -1.188245 -0.128330 -0.189685 -0.973422 0.477925 0.605281 +0.285269 0.993891 -1.182847 -0.128330 -0.189685 -0.973422 0.481709 0.584078 +0.307100 1.061830 -1.138480 0.784419 -0.561602 0.263232 0.509880 0.626248 +0.285691 1.030960 -1.140543 0.784419 -0.561602 0.263232 0.484656 0.608359 +0.312003 1.057184 -1.163003 0.784419 -0.561602 0.263232 0.514871 0.622656 +0.292806 1.027903 -1.167308 0.785841 -0.555244 0.272320 0.492144 0.605565 +0.312003 1.057184 -1.163003 0.785841 -0.555244 0.272320 0.514871 0.622656 +0.285691 1.030960 -1.140543 0.785841 -0.555244 0.272320 0.484656 0.608359 +0.249978 1.022424 -1.105225 -0.375315 0.101256 0.921350 0.445464 0.606710 +0.269315 1.000722 -1.094963 -0.375315 0.101256 0.921350 0.464915 0.590327 +0.261805 1.030666 -1.101313 -0.375315 0.101256 0.921350 0.458806 0.610810 +0.279409 1.009008 -1.091644 -0.383017 0.098710 0.918452 0.476388 0.594648 +0.261805 1.030666 -1.101313 -0.383017 0.098710 0.918452 0.458806 0.610810 +0.269315 1.000722 -1.094963 -0.383017 0.098710 0.918452 0.464915 0.590327 +0.259265 1.043556 -1.170908 -0.632642 0.633296 -0.445758 0.456926 0.619551 +0.248854 1.033533 -1.170372 -0.632642 0.633296 -0.445758 0.444994 0.614125 +0.250970 1.047842 -1.153046 -0.632642 0.633296 -0.445758 0.448244 0.623282 +0.241855 1.038826 -1.154453 -0.580635 0.661155 -0.475117 0.437781 0.618374 +0.250970 1.047842 -1.153046 -0.580635 0.661155 -0.475117 0.448244 0.623282 +0.248854 1.033533 -1.170372 -0.580635 0.661155 -0.475117 0.444994 0.614125 +0.343269 1.072610 -1.163795 -0.021187 0.914408 -0.404238 0.549717 0.629320 +0.310055 1.072657 -1.161948 -0.021187 0.914408 -0.404238 0.513804 0.633027 +0.355910 1.088021 -1.129597 -0.021187 0.914408 -0.404238 0.564421 0.638034 +0.311070 1.084190 -1.142928 0.081935 0.850263 -0.519942 0.515676 0.640483 +0.355910 1.088021 -1.129597 0.081935 0.850263 -0.519942 0.564421 0.638034 +0.310055 1.072657 -1.161948 0.081935 0.850263 -0.519942 0.513804 0.633027 +0.248854 1.033533 -1.170372 -0.373957 0.342342 -0.861950 0.444994 0.614125 +0.259265 1.043556 -1.170908 -0.373957 0.342342 -0.861950 0.456926 0.619551 +0.265864 1.016200 -1.184636 -0.373957 0.342342 -0.861950 0.462224 0.600867 +0.279820 1.025279 -1.188245 -0.427398 0.321020 -0.845149 0.477925 0.605281 +0.265864 1.016200 -1.184636 -0.427398 0.321020 -0.845149 0.462224 0.600867 +0.259265 1.043556 -1.170908 -0.427398 0.321020 -0.845149 0.456926 0.619551 +0.241315 1.036225 -1.130242 -0.683303 0.512952 0.519594 0.437023 0.616726 +0.249978 1.022424 -1.105225 -0.683303 0.512952 0.519594 0.445464 0.606710 +0.248197 1.043317 -1.128193 -0.683303 0.512952 0.519594 0.444942 0.620619 +0.261805 1.030666 -1.101313 -0.588593 0.574781 0.568493 0.458806 0.610810 +0.248197 1.043317 -1.128193 -0.588593 0.574781 0.568493 0.444942 0.620619 +0.249978 1.022424 -1.105225 -0.588593 0.574781 0.568493 0.445464 0.606710 +0.269591 0.996000 -1.163410 0.729149 -0.469779 0.497644 0.464897 0.587198 +0.292806 1.027903 -1.167308 0.729149 -0.469779 0.497644 0.492144 0.605565 +0.258619 0.997343 -1.146066 0.729149 -0.469779 0.497644 0.453123 0.589293 +0.285691 1.030960 -1.140543 0.729020 -0.630760 0.265841 0.484656 0.608359 +0.258619 0.997343 -1.146066 0.729020 -0.630760 0.265841 0.453123 0.589293 +0.292806 1.027903 -1.167308 0.729020 -0.630760 0.265841 0.492144 0.605565 +0.363280 1.076717 -1.128177 0.509020 -0.792608 0.335664 0.571631 0.629800 +0.357730 1.061677 -1.155275 0.509020 -0.792608 0.335664 0.564620 0.620543 +0.372903 1.083700 -1.126281 0.509020 -0.792608 0.335664 0.582506 0.633317 +0.361278 1.063353 -1.160513 0.653669 -0.727018 0.210147 0.568569 0.621251 +0.372903 1.083700 -1.126281 0.653669 -0.727018 0.210147 0.582506 0.633317 +0.357730 1.061677 -1.155275 0.653669 -0.727018 0.210147 0.564620 0.620543 +0.275650 0.990842 -1.171798 0.577677 -0.762008 0.292631 0.471102 0.583142 +0.285269 0.993891 -1.182847 0.577677 -0.762008 0.292631 0.481709 0.584078 +0.305709 1.011915 -1.176263 0.577677 -0.762008 0.292631 0.505023 0.593644 +0.305364 1.009540 -1.183834 0.606850 -0.765856 0.212595 0.504491 0.592124 +0.305709 1.011915 -1.176263 0.606850 -0.765856 0.212595 0.505023 0.593644 +0.285269 0.993891 -1.182847 0.606850 -0.765856 0.212595 0.481709 0.584078 +0.279409 1.009008 -1.091644 0.622318 -0.780725 0.056470 0.476388 0.594648 +0.269315 1.000722 -1.094963 0.622318 -0.780725 0.056470 0.464915 0.590327 +0.288573 1.015810 -1.098594 0.622318 -0.780725 0.056470 0.486755 0.598097 +0.267256 0.996575 -1.108005 0.626991 -0.765521 0.144430 0.462411 0.587833 +0.288573 1.015810 -1.098594 0.626991 -0.765521 0.144430 0.486755 0.598097 +0.269315 1.000722 -1.094963 0.626991 -0.765521 0.144430 0.464915 0.590327 +0.262764 0.998650 -1.123355 0.808117 -0.577839 -0.114236 0.457693 0.589693 +0.258619 0.997343 -1.146066 0.808117 -0.577839 -0.114236 0.453123 0.589293 +0.285763 1.028553 -1.111916 0.808117 -0.577839 -0.114236 0.484572 0.606771 +0.285691 1.030960 -1.140543 0.782034 -0.620878 -0.054170 0.484656 0.608359 +0.285763 1.028553 -1.111916 0.782034 -0.620878 -0.054170 0.484572 0.606771 +0.258619 0.997343 -1.146066 0.782034 -0.620878 -0.054170 0.453123 0.589293 +0.285763 1.028553 -1.111916 0.832114 -0.552476 -0.048545 0.484572 0.606771 +0.285691 1.030960 -1.140543 0.832114 -0.552476 -0.048545 0.484656 0.608359 +0.305015 1.057336 -1.109486 0.832114 -0.552476 -0.048545 0.507324 0.623530 +0.307100 1.061830 -1.138480 0.822286 -0.568336 -0.028960 0.509880 0.626248 +0.305015 1.057336 -1.109486 0.822286 -0.568336 -0.028960 0.507324 0.623530 +0.285691 1.030960 -1.140543 0.822286 -0.568336 -0.028960 0.484656 0.608359 +0.351163 1.069294 -1.098161 0.611275 -0.788433 0.068669 0.558031 0.626270 +0.348203 1.066348 -1.105637 0.611275 -0.788433 0.068669 0.554631 0.624664 +0.372903 1.083700 -1.126281 0.611275 -0.788433 0.068669 0.582506 0.633317 +0.363280 1.076717 -1.128177 0.584868 -0.810925 0.018168 0.571631 0.629800 +0.372903 1.083700 -1.126281 0.584868 -0.810925 0.018168 0.582506 0.633317 +0.348203 1.066348 -1.105637 0.584868 -0.810925 0.018168 0.554631 0.624664 +0.351163 1.069294 -1.098161 0.140027 0.833123 0.535068 0.558031 0.626270 +0.372903 1.083700 -1.126281 0.140027 0.833123 0.535068 0.582506 0.633317 +0.332497 1.077487 -1.106033 0.140027 0.833123 0.535068 0.538396 0.633712 +0.355910 1.088021 -1.129597 0.119850 0.856531 0.501986 0.564421 0.638034 +0.332497 1.077487 -1.106033 0.119850 0.856531 0.501986 0.538396 0.633712 +0.372903 1.083700 -1.126281 0.119850 0.856531 0.501986 0.582506 0.633317 +0.332497 1.077487 -1.106033 -0.225131 0.953079 0.202377 0.538396 0.633712 +0.355910 1.088021 -1.129597 -0.225131 0.953079 0.202377 0.564421 0.638034 +0.302519 1.073390 -1.120087 -0.225131 0.953079 0.202377 0.505704 0.634342 +0.311070 1.084190 -1.142928 -0.185755 0.913354 0.362324 0.515676 0.640483 +0.302519 1.073390 -1.120087 -0.185755 0.913354 0.362324 0.505704 0.634342 +0.355910 1.088021 -1.129597 -0.185755 0.913354 0.362324 0.564421 0.638034 +0.241315 1.036225 -1.130242 -0.724726 0.686625 0.057601 0.437023 0.616726 +0.248197 1.043317 -1.128193 -0.724726 0.686625 0.057601 0.444942 0.620619 +0.241855 1.038826 -1.154453 -0.724726 0.686625 0.057601 0.437781 0.618374 +0.250970 1.047842 -1.153046 -0.706238 0.706222 0.049785 0.448244 0.623282 +0.241855 1.038826 -1.154453 -0.706238 0.706222 0.049785 0.437781 0.618374 +0.248197 1.043317 -1.128193 -0.706238 0.706222 0.049785 0.444942 0.620619 +0.348203 1.066348 -1.105637 0.611077 -0.788576 0.068804 0.554631 0.624664 +0.351163 1.069294 -1.098161 0.611077 -0.788576 0.068804 0.558031 0.626270 +0.311638 1.038957 -1.094821 0.611077 -0.788576 0.068804 0.513251 0.610735 +0.310419 1.035124 -1.086322 0.572352 -0.775149 -0.267500 0.511675 0.608355 +0.311638 1.038957 -1.094821 0.572352 -0.775149 -0.267500 0.513251 0.610735 +0.351163 1.069294 -1.098161 0.572352 -0.775149 -0.267500 0.558031 0.626270 +0.348439 1.076251 -1.131245 0.340075 -0.937436 -0.074587 0.555552 0.631137 +0.336180 1.070676 -1.117070 0.340075 -0.937436 -0.074587 0.541921 0.628835 +0.307100 1.061830 -1.138480 0.340075 -0.937436 -0.074587 0.509880 0.626248 +0.305015 1.057336 -1.109486 0.366686 -0.922997 -0.116696 0.507324 0.623530 +0.307100 1.061830 -1.138480 0.366686 -0.922997 -0.116696 0.509880 0.626248 +0.336180 1.070676 -1.117070 0.366686 -0.922997 -0.116696 0.541921 0.628835 +0.348439 1.076251 -1.131245 0.279250 -0.926687 0.251536 0.555552 0.631137 +0.307100 1.061830 -1.138480 0.279250 -0.926687 0.251536 0.509880 0.626248 +0.338580 1.069065 -1.146774 0.279250 -0.926687 0.251536 0.544408 0.627512 +0.312003 1.057184 -1.163003 0.275493 -0.932930 0.231831 0.514871 0.622656 +0.338580 1.069065 -1.146774 0.275493 -0.932930 0.231831 0.544408 0.627512 +0.307100 1.061830 -1.138480 0.275493 -0.932930 0.231831 0.509880 0.626248 +0.331961 1.031806 -1.180666 0.442468 -0.737306 0.510492 0.534747 0.603792 +0.361278 1.063353 -1.160513 0.442468 -0.737306 0.510492 0.568569 0.621251 +0.329523 1.035929 -1.172598 0.442468 -0.737306 0.510492 0.532387 0.606768 +0.357730 1.061677 -1.155275 0.608396 -0.776583 0.163622 0.564620 0.620543 +0.329523 1.035929 -1.172598 0.608396 -0.776583 0.163622 0.532387 0.606768 +0.361278 1.063353 -1.160513 0.608396 -0.776583 0.163622 0.568569 0.621251 +0.361278 1.063353 -1.160513 0.312800 0.287595 -0.905232 0.568569 0.621251 +0.331961 1.031806 -1.180666 0.312800 0.287595 -0.905232 0.534747 0.603792 +0.343269 1.072610 -1.163795 0.312800 0.287595 -0.905232 0.549717 0.629320 +0.304348 1.045493 -1.184538 0.276971 0.300591 -0.912651 0.505807 0.615832 +0.343269 1.072610 -1.163795 0.276971 0.300591 -0.912651 0.549717 0.629320 +0.331961 1.031806 -1.180666 0.276971 0.300591 -0.912651 0.534747 0.603792 +0.343269 1.072610 -1.163795 -0.041569 0.644001 -0.763894 0.549717 0.629320 +0.304348 1.045493 -1.184538 -0.041569 0.644001 -0.763894 0.505807 0.615832 +0.310055 1.072657 -1.161948 -0.041569 0.644001 -0.763894 0.513804 0.633027 +0.269765 1.053666 -1.171450 -0.129774 0.649975 -0.748794 0.468960 0.625023 +0.310055 1.072657 -1.161948 -0.129774 0.649975 -0.748794 0.513804 0.633027 +0.304348 1.045493 -1.184538 -0.129774 0.649975 -0.748794 0.505807 0.615832 +0.311070 1.084190 -1.142928 -0.322865 0.816830 -0.478066 0.515676 0.640483 +0.310055 1.072657 -1.161948 -0.322865 0.816830 -0.478066 0.513804 0.633027 +0.263232 1.060025 -1.151909 -0.322865 0.816830 -0.478066 0.462322 0.629920 +0.269765 1.053666 -1.171450 -0.316661 0.865736 -0.387592 0.468960 0.625023 +0.263232 1.060025 -1.151909 -0.316661 0.865736 -0.387592 0.462322 0.629920 +0.310055 1.072657 -1.161948 -0.316661 0.865736 -0.387592 0.513804 0.633027 +0.311070 1.084190 -1.142928 -0.472680 0.851812 0.225809 0.515676 0.640483 +0.263232 1.060025 -1.151909 -0.472680 0.851812 0.225809 0.462322 0.629920 +0.302519 1.073390 -1.120087 -0.472680 0.851812 0.225809 0.505704 0.634342 +0.259996 1.055475 -1.124678 -0.395732 0.912297 0.105407 0.458517 0.627292 +0.302519 1.073390 -1.120087 -0.395732 0.912297 0.105407 0.505704 0.634342 +0.263232 1.060025 -1.151909 -0.395732 0.912297 0.105407 0.462322 0.629920 +0.332497 1.077487 -1.106033 -0.354536 0.768876 0.532103 0.538396 0.633712 +0.302519 1.073390 -1.120087 -0.354536 0.768876 0.532103 0.505704 0.634342 +0.287581 1.050728 -1.097294 -0.354536 0.768876 0.532103 0.488028 0.621123 +0.259996 1.055475 -1.124678 -0.379378 0.768419 0.515368 0.458517 0.627292 +0.287581 1.050728 -1.097294 -0.379378 0.768419 0.515368 0.488028 0.621123 +0.302519 1.073390 -1.120087 -0.379378 0.768419 0.515368 0.505704 0.634342 +0.351163 1.069294 -1.098161 -0.152789 0.481248 0.863166 0.558031 0.626270 +0.332497 1.077487 -1.106033 -0.152789 0.481248 0.863166 0.538396 0.633712 +0.310419 1.035124 -1.086322 -0.152789 0.481248 0.863166 0.511675 0.608355 +0.287581 1.050728 -1.097294 -0.105401 0.464138 0.879470 0.488028 0.621123 +0.310419 1.035124 -1.086322 -0.105401 0.464138 0.879470 0.511675 0.608355 +0.332497 1.077487 -1.106033 -0.105401 0.464138 0.879470 0.538396 0.633712 +0.245774 0.979229 -1.173403 0.314768 -0.938651 -0.140912 0.438016 0.578827 +0.285269 0.993891 -1.182847 0.314768 -0.938651 -0.140912 0.481709 0.584078 +0.264580 0.984473 -1.166326 0.314768 -0.938651 -0.140912 0.458705 0.580187 +0.275650 0.990842 -1.171798 0.582519 -0.756023 0.298499 0.471102 0.583142 +0.264580 0.984473 -1.166326 0.582519 -0.756023 0.298499 0.458705 0.580187 +0.285269 0.993891 -1.182847 0.582519 -0.756023 0.298499 0.481709 0.584078 +0.269315 1.000722 -1.094963 0.372307 -0.899834 0.227346 0.464915 0.590327 +0.246504 0.985145 -1.119261 0.372307 -0.899834 0.227346 0.439202 0.582629 +0.267256 0.996575 -1.108005 0.372307 -0.899834 0.227346 0.462411 0.587833 +0.256752 0.988089 -1.119221 0.248296 -0.870093 0.425778 0.450482 0.583427 +0.267256 0.996575 -1.108005 0.248296 -0.870093 0.425778 0.462411 0.587833 +0.246504 0.985145 -1.119261 0.248296 -0.870093 0.425778 0.439202 0.582629 +0.246504 0.985145 -1.119261 -0.704210 -0.070736 0.706459 0.439202 0.582629 +0.269315 1.000722 -1.094963 -0.704210 -0.070736 0.706459 0.464915 0.590327 +0.238374 1.004741 -1.125403 -0.704210 -0.070736 0.706459 0.431727 0.596390 +0.249978 1.022424 -1.105225 -0.688325 -0.301287 0.659874 0.445464 0.606710 +0.238374 1.004741 -1.125403 -0.688325 -0.301287 0.659874 0.431727 0.596390 +0.269315 1.000722 -1.094963 -0.688325 -0.301287 0.659874 0.464915 0.590327 +0.245774 0.979229 -1.173403 0.319174 -0.934864 -0.155426 0.438016 0.578827 +0.264580 0.984473 -1.166326 0.319174 -0.934864 -0.155426 0.458705 0.580187 +0.249192 0.975926 -1.146517 0.319174 -0.934864 -0.155426 0.441490 0.576281 +0.258494 0.981235 -1.145483 0.494870 -0.868915 0.009513 0.451905 0.578736 +0.249192 0.975926 -1.146517 0.494870 -0.868915 0.009513 0.441490 0.576281 +0.264580 0.984473 -1.166326 0.494870 -0.868915 0.009513 0.458705 0.580187 +0.239167 0.997346 -1.174720 -0.243554 -0.158380 -0.956868 0.432088 0.591448 +0.265864 1.016200 -1.184636 -0.243554 -0.158380 -0.956868 0.462224 0.600867 +0.245774 0.979229 -1.173403 -0.243554 -0.158380 -0.956868 0.438016 0.578827 +0.285269 0.993891 -1.182847 -0.152806 -0.210349 -0.965611 0.481709 0.584078 +0.245774 0.979229 -1.173403 -0.152806 -0.210349 -0.965611 0.438016 0.578827 +0.265864 1.016200 -1.184636 -0.152806 -0.210349 -0.965611 0.462224 0.600867 +0.236887 1.012875 -1.166535 -0.675765 0.263608 -0.688369 0.430667 0.601892 +0.248854 1.033533 -1.170372 -0.675765 0.263608 -0.688369 0.444994 0.614125 +0.239167 0.997346 -1.174720 -0.675765 0.263608 -0.688369 0.432088 0.591448 +0.265864 1.016200 -1.184636 -0.477252 0.229675 -0.848222 0.462224 0.600867 +0.239167 0.997346 -1.174720 -0.477252 0.229675 -0.848222 0.432088 0.591448 +0.248854 1.033533 -1.170372 -0.477252 0.229675 -0.848222 0.444994 0.614125 +0.238374 1.004741 -1.125403 -0.908474 0.151832 0.389387 0.431727 0.596390 +0.249978 1.022424 -1.105225 -0.908474 0.151832 0.389387 0.445464 0.606710 +0.234110 1.016009 -1.139745 -0.908474 0.151832 0.389387 0.427873 0.604257 +0.241315 1.036225 -1.130242 -0.909283 0.139803 0.391995 0.437023 0.616726 +0.234110 1.016009 -1.139745 -0.909283 0.139803 0.391995 0.427873 0.604257 +0.249978 1.022424 -1.105225 -0.909283 0.139803 0.391995 0.445464 0.606710 +0.234110 1.016009 -1.139745 -0.938280 0.345125 -0.022807 0.427873 0.604257 +0.241315 1.036225 -1.130242 -0.938280 0.345125 -0.022807 0.437023 0.616726 +0.234936 1.017211 -1.155538 -0.938280 0.345125 -0.022807 0.428847 0.604954 +0.241855 1.038826 -1.154453 -0.952500 0.304322 0.011450 0.437781 0.618374 +0.234936 1.017211 -1.155538 -0.952500 0.304322 0.011450 0.428847 0.604954 +0.241315 1.036225 -1.130242 -0.952500 0.304322 0.011450 0.437023 0.616726 +0.246504 0.985145 -1.119261 0.259222 -0.906853 0.332296 0.439202 0.582629 +0.249192 0.975926 -1.146517 0.259222 -0.906853 0.332296 0.441490 0.576281 +0.256752 0.988089 -1.119221 0.259222 -0.906853 0.332296 0.450482 0.583427 +0.258494 0.981235 -1.145483 0.458243 -0.852122 0.252787 0.451905 0.578736 +0.256752 0.988089 -1.119221 0.458243 -0.852122 0.252787 0.450482 0.583427 +0.249192 0.975926 -1.146517 0.458243 -0.852122 0.252787 0.441490 0.576281 +0.234936 1.017211 -1.155538 -0.909615 0.305311 -0.281756 0.428847 0.604954 +0.241855 1.038826 -1.154453 -0.909615 0.305311 -0.281756 0.437781 0.618374 +0.236887 1.012875 -1.166535 -0.909615 0.305311 -0.281756 0.430667 0.601892 +0.248854 1.033533 -1.170372 -0.797000 0.373541 -0.474614 0.444994 0.614125 +0.236887 1.012875 -1.166535 -0.797000 0.373541 -0.474614 0.430667 0.601892 +0.241855 1.038826 -1.154453 -0.797000 0.373541 -0.474614 0.437781 0.618374 +0.305364 1.009540 -1.183834 0.612557 -0.761732 0.211042 0.504491 0.592124 +0.331961 1.031806 -1.180666 0.612557 -0.761732 0.211042 0.534747 0.603792 +0.305709 1.011915 -1.176263 0.612557 -0.761732 0.211042 0.505023 0.593644 +0.329523 1.035929 -1.172598 0.573848 -0.645910 0.503487 0.532387 0.606768 +0.305709 1.011915 -1.176263 0.573848 -0.645910 0.503487 0.505023 0.593644 +0.331961 1.031806 -1.180666 0.573848 -0.645910 0.503487 0.534747 0.603792 +0.331961 1.031806 -1.180666 0.131212 -0.015703 -0.991230 0.534747 0.603792 +0.305364 1.009540 -1.183834 0.131212 -0.015703 -0.991230 0.504491 0.592124 +0.304348 1.045493 -1.184538 0.131212 -0.015703 -0.991230 0.505807 0.615832 +0.279820 1.025279 -1.188245 0.161308 -0.014765 -0.986794 0.477925 0.605281 +0.304348 1.045493 -1.184538 0.161308 -0.014765 -0.986794 0.505807 0.615832 +0.305364 1.009540 -1.183834 0.161308 -0.014765 -0.986794 0.504491 0.592124 +0.304348 1.045493 -1.184538 -0.226913 0.435129 -0.871305 0.505807 0.615832 +0.279820 1.025279 -1.188245 -0.226913 0.435129 -0.871305 0.477925 0.605281 +0.269765 1.053666 -1.171450 -0.226913 0.435129 -0.871305 0.468960 0.625023 +0.259265 1.043556 -1.170908 -0.391910 0.361673 -0.845931 0.456926 0.619551 +0.269765 1.053666 -1.171450 -0.391910 0.361673 -0.845931 0.468960 0.625023 +0.279820 1.025279 -1.188245 -0.391910 0.361673 -0.845931 0.477925 0.605281 +0.269765 1.053666 -1.171450 -0.639803 0.641816 -0.422758 0.468960 0.625023 +0.259265 1.043556 -1.170908 -0.639803 0.641816 -0.422758 0.456926 0.619551 +0.263232 1.060025 -1.151909 -0.639803 0.641816 -0.422758 0.462322 0.629920 +0.250970 1.047842 -1.153046 -0.611463 0.656636 -0.441523 0.448244 0.623282 +0.263232 1.060025 -1.151909 -0.611463 0.656636 -0.441523 0.462322 0.629920 +0.259265 1.043556 -1.170908 -0.611463 0.656636 -0.441523 0.456926 0.619551 +0.263232 1.060025 -1.151909 -0.706001 0.707380 0.034297 0.462322 0.629920 +0.250970 1.047842 -1.153046 -0.706001 0.707380 0.034297 0.448244 0.623282 +0.259996 1.055475 -1.124678 -0.706001 0.707380 0.034297 0.458517 0.627292 +0.248197 1.043317 -1.128193 -0.723339 0.689041 0.044749 0.444942 0.620619 +0.259996 1.055475 -1.124678 -0.723339 0.689041 0.044749 0.458517 0.627292 +0.250970 1.047842 -1.153046 -0.723339 0.689041 0.044749 0.448244 0.623282 +0.287581 1.050728 -1.097294 -0.533858 0.558774 0.634640 0.488028 0.621123 +0.259996 1.055475 -1.124678 -0.533858 0.558774 0.634640 0.458517 0.627292 +0.261805 1.030666 -1.101313 -0.533858 0.558774 0.634640 0.458806 0.610810 +0.248197 1.043317 -1.128193 -0.667449 0.484169 0.565767 0.444942 0.620619 +0.261805 1.030666 -1.101313 -0.667449 0.484169 0.565767 0.458806 0.610810 +0.259996 1.055475 -1.124678 -0.667449 0.484169 0.565767 0.458517 0.627292 +0.310419 1.035124 -1.086322 -0.317915 0.188119 0.929269 0.511675 0.608355 +0.287581 1.050728 -1.097294 -0.317915 0.188119 0.929269 0.488028 0.621123 +0.279409 1.009008 -1.091644 -0.317915 0.188119 0.929269 0.476388 0.594648 +0.261805 1.030666 -1.101313 -0.289617 0.183935 0.939303 0.458806 0.610810 +0.279409 1.009008 -1.091644 -0.289617 0.183935 0.939303 0.476388 0.594648 +0.287581 1.050728 -1.097294 -0.289617 0.183935 0.939303 0.488028 0.621123 +0.311638 1.038957 -1.094821 0.710000 -0.674499 -0.202364 0.513251 0.610735 +0.310419 1.035124 -1.086322 0.710000 -0.674499 -0.202364 0.511675 0.608355 +0.288573 1.015810 -1.098594 0.710000 -0.674499 -0.202364 0.486755 0.598097 +0.279409 1.009008 -1.091644 0.633627 -0.769211 0.082650 0.476388 0.594648 +0.288573 1.015810 -1.098594 0.633627 -0.769211 0.082650 0.486755 0.598097 +0.310419 1.035124 -1.086322 0.633627 -0.769211 0.082650 0.511675 0.608355 +0.348439 1.076251 -1.131245 0.090928 -0.951035 -0.295405 0.555552 0.631137 +0.363280 1.076717 -1.128177 0.090928 -0.951035 -0.295405 0.571631 0.629800 +0.336180 1.070676 -1.117070 0.090928 -0.951035 -0.295405 0.541921 0.628835 +0.348203 1.066348 -1.105637 0.043488 -0.918348 -0.393377 0.554631 0.624664 +0.336180 1.070676 -1.117070 0.043488 -0.918348 -0.393377 0.541921 0.628835 +0.363280 1.076717 -1.128177 0.043488 -0.918348 -0.393377 0.571631 0.629800 +0.336180 1.070676 -1.117070 0.217890 -0.814619 -0.537512 0.541921 0.628835 +0.348203 1.066348 -1.105637 0.217890 -0.814619 -0.537512 0.554631 0.624664 +0.305015 1.057336 -1.109486 0.217890 -0.814619 -0.537512 0.507324 0.623530 +0.311638 1.038957 -1.094821 0.190117 -0.569558 -0.799662 0.513251 0.610735 +0.305015 1.057336 -1.109486 0.190117 -0.569558 -0.799662 0.507324 0.623530 +0.348203 1.066348 -1.105637 0.190117 -0.569558 -0.799662 0.554631 0.624664 +0.305015 1.057336 -1.109486 0.610166 -0.348033 -0.711737 0.507324 0.623530 +0.311638 1.038957 -1.094821 0.610166 -0.348033 -0.711737 0.513251 0.610735 +0.285763 1.028553 -1.111916 0.610166 -0.348033 -0.711737 0.484572 0.606771 +0.288573 1.015810 -1.098594 0.607804 -0.505879 -0.612096 0.486755 0.598097 +0.285763 1.028553 -1.111916 0.607804 -0.505879 -0.612096 0.484572 0.606771 +0.311638 1.038957 -1.094821 0.607804 -0.505879 -0.612096 0.513251 0.610735 +0.262764 0.998650 -1.123355 0.807750 -0.504732 -0.304608 0.457693 0.589693 +0.285763 1.028553 -1.111916 0.807750 -0.504732 -0.304608 0.484572 0.606771 +0.267256 0.996575 -1.108005 0.807750 -0.504732 -0.304608 0.462411 0.587833 +0.288573 1.015810 -1.098594 0.671408 -0.459666 -0.581307 0.486755 0.598097 +0.267256 0.996575 -1.108005 0.671408 -0.459666 -0.581307 0.462411 0.587833 +0.285763 1.028553 -1.111916 0.671408 -0.459666 -0.581307 0.484572 0.606771 +0.262764 0.998650 -1.123355 0.772989 -0.558116 -0.301652 0.457693 0.589693 +0.267256 0.996575 -1.108005 0.772989 -0.558116 -0.301652 0.462411 0.587833 +0.256752 0.988089 -1.119221 0.772989 -0.558116 -0.301652 0.450482 0.583427 +0.258619 0.997343 -1.146066 0.983795 -0.014104 -0.178742 0.453123 0.589293 +0.262764 0.998650 -1.123355 0.983795 -0.014104 -0.178742 0.457693 0.589693 +0.258494 0.981235 -1.145483 0.983795 -0.014104 -0.178742 0.451905 0.578736 +0.256752 0.988089 -1.119221 0.883536 -0.435530 0.172272 0.450482 0.583427 +0.258494 0.981235 -1.145483 0.883536 -0.435530 0.172272 0.451905 0.578736 +0.262764 0.998650 -1.123355 0.883536 -0.435530 0.172272 0.457693 0.589693 +0.258619 0.997343 -1.146066 0.845472 0.012758 0.533867 0.453123 0.589293 +0.258494 0.981235 -1.145483 0.845472 0.012758 0.533867 0.451905 0.578736 +0.269591 0.996000 -1.163410 0.845472 0.012758 0.533867 0.464897 0.587198 +0.264580 0.984473 -1.166326 0.881781 -0.431503 0.190440 0.458705 0.580187 +0.269591 0.996000 -1.163410 0.881781 -0.431503 0.190440 0.464897 0.587198 +0.258494 0.981235 -1.145483 0.881781 -0.431503 0.190440 0.451905 0.578736 +0.269591 0.996000 -1.163410 0.586395 -0.428773 0.687237 0.464897 0.587198 +0.264580 0.984473 -1.166326 0.586395 -0.428773 0.687237 0.458705 0.580187 +0.275650 0.990842 -1.171798 0.586395 -0.428773 0.687237 0.471102 0.583142 +0.269591 0.996000 -1.163410 0.627757 -0.373348 0.683032 0.464897 0.587198 +0.275650 0.990842 -1.171798 0.627757 -0.373348 0.683032 0.471102 0.583142 +0.292806 1.027903 -1.167308 0.627757 -0.373348 0.683032 0.492144 0.605565 +0.305709 1.011915 -1.176263 0.315725 -0.256818 0.913434 0.505023 0.593644 +0.292806 1.027903 -1.167308 0.315725 -0.256818 0.913434 0.492144 0.605565 +0.275650 0.990842 -1.171798 0.315725 -0.256818 0.913434 0.471102 0.583142 +0.312003 1.057184 -1.163003 0.194208 -0.266140 0.944168 0.514871 0.622656 +0.292806 1.027903 -1.167308 0.194208 -0.266140 0.944168 0.492144 0.605565 +0.329523 1.035929 -1.172598 0.194208 -0.266140 0.944168 0.532387 0.606768 +0.305709 1.011915 -1.176263 0.207355 -0.345318 0.915292 0.505023 0.593644 +0.329523 1.035929 -1.172598 0.207355 -0.345318 0.915292 0.532387 0.606768 +0.292806 1.027903 -1.167308 0.207355 -0.345318 0.915292 0.492144 0.605565 +0.338580 1.069065 -1.146774 -0.027624 -0.784476 0.619544 0.544408 0.627512 +0.312003 1.057184 -1.163003 -0.027624 -0.784476 0.619544 0.514871 0.622656 +0.357730 1.061677 -1.155275 -0.027624 -0.784476 0.619544 0.564620 0.620543 +0.329523 1.035929 -1.172598 -0.100671 -0.477103 0.873063 0.532387 0.606768 +0.357730 1.061677 -1.155275 -0.100671 -0.477103 0.873063 0.564620 0.620543 +0.312003 1.057184 -1.163003 -0.100671 -0.477103 0.873063 0.514871 0.622656 +0.348439 1.076251 -1.131245 -0.065760 -0.889011 0.453139 0.555552 0.631137 +0.338580 1.069065 -1.146774 -0.065760 -0.889011 0.453139 0.544408 0.627512 +0.363280 1.076717 -1.128177 -0.065760 -0.889011 0.453139 0.571631 0.629800 +0.357730 1.061677 -1.155275 -0.109820 -0.859351 0.499454 0.564620 0.620543 +0.363280 1.076717 -1.128177 -0.109820 -0.859351 0.499454 0.571631 0.629800 +0.338580 1.069065 -1.146774 -0.109820 -0.859351 0.499454 0.544408 0.627512 +0.239167 0.997346 -1.174720 0.916650 0.316548 -0.244028 0.432088 0.591448 +0.245774 0.979229 -1.173403 0.916650 0.316548 -0.244028 0.438016 0.578827 +0.231478 0.999141 -1.201274 0.916650 0.316548 -0.244028 0.423894 0.593478 +0.224168 0.939482 -1.213435 0.885625 -0.013893 -0.464193 0.411982 0.555134 +0.231478 0.999141 -1.201274 0.885625 -0.013893 -0.464193 0.423894 0.593478 +0.245774 0.979229 -1.173403 0.885625 -0.013893 -0.464193 0.438016 0.578827 +0.249192 0.975926 -1.146517 0.903012 -0.397245 -0.163602 0.441490 0.576281 +0.247080 0.947536 -1.089240 0.903012 -0.397245 -0.163602 0.437299 0.557884 +0.245774 0.979229 -1.173403 0.903012 -0.397245 -0.163602 0.438016 0.578827 +0.224168 0.939482 -1.213435 0.923706 -0.353579 -0.147479 0.411982 0.555134 +0.245774 0.979229 -1.173403 0.923706 -0.353579 -0.147479 0.438016 0.578827 +0.247080 0.947536 -1.089240 0.923706 -0.353579 -0.147479 0.437299 0.557884 +0.262478 1.120451 -1.180367 0.959706 -0.147002 -0.239487 0.465566 0.669659 +0.253958 1.077022 -1.187852 0.959706 -0.147002 -0.239487 0.453436 0.642101 +0.248806 1.114913 -1.231756 0.959706 -0.147002 -0.239487 0.450410 0.667539 +0.241433 1.081590 -1.230007 0.928066 -0.221073 -0.299701 0.440198 0.646486 +0.248806 1.114913 -1.231756 0.928066 -0.221073 -0.299701 0.450410 0.667539 +0.253958 1.077022 -1.187852 0.928066 -0.221073 -0.299701 0.453436 0.642101 +0.216812 1.004349 -1.256261 0.892214 -0.451220 -0.018845 0.408385 0.598519 +0.229302 1.029667 -1.271132 0.892214 -0.451220 -0.018845 0.423592 0.613752 +0.239514 1.048406 -1.236328 0.892214 -0.451220 -0.018845 0.435894 0.624920 +0.239249 1.047984 -1.257875 0.879232 -0.476392 -0.001483 0.435579 0.624672 +0.239514 1.048406 -1.236328 0.879232 -0.476392 -0.001483 0.435894 0.624920 +0.229302 1.029667 -1.271132 0.879232 -0.476392 -0.001483 0.423592 0.613752 +0.239167 0.997346 -1.174720 0.929876 0.268867 -0.251081 0.432088 0.591448 +0.231478 0.999141 -1.201274 0.929876 0.268867 -0.251081 0.423894 0.593478 +0.236887 1.012875 -1.166535 0.929876 0.268867 -0.251081 0.430667 0.601892 +0.244883 1.045580 -1.193270 0.961835 -0.270243 -0.042921 0.441509 0.622471 +0.236887 1.012875 -1.166535 0.961835 -0.270243 -0.042921 0.430667 0.601892 +0.231478 0.999141 -1.201274 0.961835 -0.270243 -0.042921 0.423894 0.593478 +0.239514 1.048406 -1.236328 0.991491 -0.033370 -0.125822 0.435894 0.624920 +0.241433 1.081590 -1.230007 0.991491 -0.033370 -0.125822 0.440198 0.646486 +0.244883 1.045580 -1.193270 0.991491 -0.033370 -0.125822 0.441509 0.622471 +0.253958 1.077022 -1.187852 0.929178 -0.216570 -0.299543 0.453436 0.642101 +0.244883 1.045580 -1.193270 0.929178 -0.216570 -0.299543 0.441509 0.622471 +0.241433 1.081590 -1.230007 0.929178 -0.216570 -0.299543 0.440198 0.646486 +0.241433 1.081590 -1.230007 0.973096 -0.096155 0.209375 0.440198 0.646486 +0.239514 1.048406 -1.236328 0.973096 -0.096155 0.209375 0.435894 0.624920 +0.245950 1.075520 -1.253788 0.973096 -0.096155 0.209375 0.444675 0.642002 +0.239249 1.047984 -1.257875 0.971867 -0.235418 -0.007341 0.435579 0.624672 +0.245950 1.075520 -1.253788 0.971867 -0.235418 -0.007341 0.444675 0.642002 +0.239514 1.048406 -1.236328 0.971867 -0.235418 -0.007341 0.435894 0.624920 +0.248806 1.114913 -1.231756 0.976247 -0.214347 0.031571 0.450410 0.667539 +0.241433 1.081590 -1.230007 0.976247 -0.214347 0.031571 0.440198 0.646486 +0.246845 1.101758 -1.260431 0.976247 -0.214347 0.031571 0.447406 0.659122 +0.245950 1.075520 -1.253788 0.982952 0.012907 0.183410 0.444675 0.642002 +0.246845 1.101758 -1.260431 0.982952 0.012907 0.183410 0.447406 0.659122 +0.241433 1.081590 -1.230007 0.982952 0.012907 0.183410 0.440198 0.646486 +0.246845 1.101758 -1.260431 0.928308 0.309793 -0.205604 0.185738 0.521568 +0.236921 1.116675 -1.282762 0.928308 0.309793 -0.205604 0.196812 0.512051 +0.248806 1.114913 -1.231756 0.928308 0.309793 -0.205604 0.183865 0.512830 +0.228412 1.165832 -1.270773 0.952306 0.217132 -0.214397 0.207021 0.479911 +0.248806 1.114913 -1.231756 0.952306 0.217132 -0.214397 0.183865 0.512830 +0.236921 1.116675 -1.282762 0.952306 0.217132 -0.214397 0.196812 0.512051 +0.241437 1.025889 -0.975757 0.975346 0.220616 0.005423 0.436461 0.609929 +0.261441 0.936834 -0.950653 0.975346 0.220616 0.005423 0.452109 0.549270 +0.250818 0.986752 -1.070818 0.975346 0.220616 0.005423 0.443976 0.583206 +0.247080 0.947536 -1.089240 0.993319 -0.044707 -0.106385 0.437299 0.557884 +0.250818 0.986752 -1.070818 0.993319 -0.044707 -0.106385 0.443976 0.583206 +0.261441 0.936834 -0.950653 0.993319 -0.044707 -0.106385 0.452109 0.549270 +0.233524 1.070262 -1.041313 0.964965 0.256137 0.056894 0.430885 0.639927 +0.241437 1.025889 -0.975757 0.964965 0.256137 0.056894 0.436461 0.609929 +0.249739 1.018378 -1.082750 0.964965 0.256137 0.056894 0.444933 0.604081 +0.250818 0.986752 -1.070818 0.995441 0.061475 0.072925 0.443976 0.583206 +0.249739 1.018378 -1.082750 0.995441 0.061475 0.072925 0.444933 0.604081 +0.241437 1.025889 -0.975757 0.995441 0.061475 0.072925 0.436461 0.609929 +0.250818 0.986752 -1.070818 0.994759 -0.054047 -0.086794 0.443976 0.583206 +0.247080 0.947536 -1.089240 0.994759 -0.054047 -0.086794 0.437299 0.557884 +0.246504 0.985145 -1.119261 0.994759 -0.054047 -0.086794 0.439202 0.582629 +0.249192 0.975926 -1.146517 0.994596 0.073646 0.073178 0.441490 0.576281 +0.246504 0.985145 -1.119261 0.994596 0.073646 0.073178 0.439202 0.582629 +0.247080 0.947536 -1.089240 0.994596 0.073646 0.073178 0.437299 0.557884 +0.243257 1.101869 -1.109294 0.946737 0.218062 0.236932 0.443533 0.659592 +0.233524 1.070262 -1.041313 0.946737 0.218062 0.236932 0.430885 0.639927 +0.252678 1.071416 -1.118911 0.946737 0.218062 0.236932 0.451675 0.638564 +0.249739 1.018378 -1.082750 0.964588 0.109997 0.239731 0.444933 0.604081 +0.252678 1.071416 -1.118911 0.964588 0.109997 0.239731 0.451675 0.638564 +0.233524 1.070262 -1.041313 0.964588 0.109997 0.239731 0.430885 0.639927 +0.250818 0.986752 -1.070818 0.996056 0.000511 -0.088719 0.443976 0.583206 +0.246504 0.985145 -1.119261 0.996056 0.000511 -0.088719 0.439202 0.582629 +0.249739 1.018378 -1.082750 0.996056 0.000511 -0.088719 0.444933 0.604081 +0.238374 1.004741 -1.125403 0.904506 0.272423 -0.328107 0.431727 0.596390 +0.249739 1.018378 -1.082750 0.904506 0.272423 -0.328107 0.444933 0.604081 +0.246504 0.985145 -1.119261 0.904506 0.272423 -0.328107 0.439202 0.582629 +0.243257 1.101869 -1.109294 0.933269 0.193072 0.302872 0.443533 0.659592 +0.252678 1.071416 -1.118911 0.933269 0.193072 0.302872 0.451675 0.638564 +0.262478 1.120451 -1.180367 0.933269 0.193072 0.302872 0.465566 0.669659 +0.253958 1.077022 -1.187852 0.981209 -0.192932 0.002529 0.453436 0.642101 +0.262478 1.120451 -1.180367 0.981209 -0.192932 0.002529 0.465566 0.669659 +0.252678 1.071416 -1.118911 0.981209 -0.192932 0.002529 0.451675 0.638564 +0.244883 1.045580 -1.193270 0.961845 -0.269193 -0.048872 0.441509 0.622471 +0.253958 1.077022 -1.187852 0.961845 -0.269193 -0.048872 0.453436 0.642101 +0.248604 1.051702 -1.153758 0.961845 -0.269193 -0.048872 0.445945 0.626077 +0.252678 1.071416 -1.118911 0.978774 -0.204935 0.001508 0.451675 0.638564 +0.248604 1.051702 -1.153758 0.978774 -0.204935 0.001508 0.445945 0.626077 +0.253958 1.077022 -1.187852 0.978774 -0.204935 0.001508 0.453436 0.642101 +0.238374 1.004741 -1.125403 0.963763 0.026904 -0.265399 0.431727 0.596390 +0.234110 1.016009 -1.139745 0.963763 0.026904 -0.265399 0.427873 0.604257 +0.249739 1.018378 -1.082750 0.963763 0.026904 -0.265399 0.444933 0.604081 +0.252678 1.071416 -1.118911 0.942612 -0.222168 -0.249246 0.451675 0.638564 +0.249739 1.018378 -1.082750 0.942612 -0.222168 -0.249246 0.444933 0.604081 +0.234110 1.016009 -1.139745 0.942612 -0.222168 -0.249246 0.427873 0.604257 +0.252678 1.071416 -1.118911 0.934417 -0.345577 0.086259 0.451675 0.638564 +0.234110 1.016009 -1.139745 0.934417 -0.345577 0.086259 0.427873 0.604257 +0.248604 1.051702 -1.153758 0.934417 -0.345577 0.086259 0.445945 0.626077 +0.234936 1.017211 -1.155538 0.929108 -0.369241 0.020491 0.428847 0.604954 +0.248604 1.051702 -1.153758 0.929108 -0.369241 0.020491 0.445945 0.626077 +0.234110 1.016009 -1.139745 0.929108 -0.369241 0.020491 0.427873 0.604257 +0.234936 1.017211 -1.155538 0.881383 -0.364763 0.300188 0.428847 0.604954 +0.236887 1.012875 -1.166535 0.881383 -0.364763 0.300188 0.430667 0.601892 +0.248604 1.051702 -1.153758 0.881383 -0.364763 0.300188 0.445945 0.626077 +0.244883 1.045580 -1.193270 0.960513 -0.274065 -0.047992 0.441509 0.622471 +0.248604 1.051702 -1.153758 0.960513 -0.274065 -0.047992 0.445945 0.626077 +0.236887 1.012875 -1.166535 0.960513 -0.274065 -0.047992 0.430667 0.601892 +0.260287 0.394408 0.642322 0.911347 -0.276077 0.305333 0.465661 0.324371 +0.270736 0.391070 0.608116 0.911347 -0.276077 0.305333 0.474850 0.331400 +0.290254 0.489197 0.638584 0.911347 -0.276077 0.305333 0.522675 0.282888 +0.298894 0.492080 0.585936 0.960891 -0.236075 0.144763 0.531932 0.285368 +0.290254 0.489197 0.638584 0.960891 -0.236075 0.144763 0.522675 0.282888 +0.270736 0.391070 0.608116 0.960891 -0.236075 0.144763 0.474850 0.331400 +0.175497 0.405860 0.729689 -0.669461 0.122732 0.732638 0.466284 0.371584 +0.201002 0.409529 0.752380 -0.669461 0.122732 0.732638 0.492185 0.381763 +0.172382 0.474482 0.715347 -0.669461 0.122732 0.732638 0.483413 0.329543 +0.207105 0.466516 0.724098 -0.119241 0.451597 0.884218 0.514867 0.351057 +0.172382 0.474482 0.715347 -0.119241 0.451597 0.884218 0.483413 0.329543 +0.201002 0.409529 0.752380 -0.119241 0.451597 0.884218 0.492185 0.381763 +0.161989 0.401702 0.688799 -0.889609 -0.319497 0.326371 0.451915 0.367501 +0.175497 0.405860 0.729689 -0.889609 -0.319497 0.326371 0.466284 0.371584 +0.133645 0.483091 0.691215 -0.889609 -0.319497 0.326371 0.448240 0.305705 +0.172382 0.474482 0.715347 -0.497119 0.155831 0.853574 0.483413 0.329543 +0.133645 0.483091 0.691215 -0.497119 0.155831 0.853574 0.448240 0.305705 +0.175497 0.405860 0.729689 -0.497119 0.155831 0.853574 0.466284 0.371584 +0.167913 0.391086 0.575845 -0.845178 -0.263972 -0.464751 0.887442 0.348685 +0.142612 0.398601 0.617588 -0.845178 -0.263972 -0.464751 0.870396 0.370830 +0.147059 0.487339 0.559099 -0.845178 -0.263972 -0.464751 0.820629 0.339626 +0.121016 0.489468 0.612952 -0.879597 -0.230288 -0.416264 0.806368 0.364120 +0.147059 0.487339 0.559099 -0.879597 -0.230288 -0.416264 0.820629 0.339626 +0.142612 0.398601 0.617588 -0.879597 -0.230288 -0.416264 0.870396 0.370830 +0.257957 0.489777 0.539113 0.335517 -0.369340 -0.866612 0.571193 0.361934 +0.244685 0.386784 0.577869 0.335517 -0.369340 -0.866612 0.528017 0.416345 +0.204691 0.474041 0.525197 0.335517 -0.369340 -0.866612 0.514728 0.345444 +0.210193 0.387937 0.564010 0.335846 -0.369159 -0.866562 0.494786 0.398967 +0.204691 0.474041 0.525197 0.335846 -0.369159 -0.866562 0.514728 0.345444 +0.244685 0.386784 0.577869 0.335846 -0.369159 -0.866562 0.528017 0.416345 +0.270736 0.391070 0.608116 0.736994 -0.334423 -0.587368 0.474850 0.331400 +0.244685 0.386784 0.577869 0.736994 -0.334423 -0.587368 0.448236 0.321321 +0.298894 0.492080 0.585936 0.736994 -0.334423 -0.587368 0.531932 0.285368 +0.257957 0.489777 0.539113 0.720134 -0.323727 -0.613684 0.491412 0.266910 +0.298894 0.492080 0.585936 0.720134 -0.323727 -0.613684 0.531932 0.285368 +0.244685 0.386784 0.577869 0.720134 -0.323727 -0.613684 0.448236 0.321321 +0.388560 0.906970 0.573610 0.956834 0.202790 -0.208194 0.587564 0.515599 +0.380000 0.850625 0.479387 0.956834 0.202790 -0.208194 0.574523 0.479569 +0.341636 1.091500 0.537693 0.956834 0.202790 -0.208194 0.549219 0.641897 +0.346506 0.970240 0.444275 0.954961 0.204208 -0.215286 0.546340 0.561778 +0.341636 1.091500 0.537693 0.954961 0.204208 -0.215286 0.549219 0.641897 +0.380000 0.850625 0.479387 0.954961 0.204208 -0.215286 0.574523 0.479569 +0.191441 0.814931 0.840666 0.369792 -0.248964 0.895137 0.368224 0.477016 +0.257483 0.861991 0.826472 0.369792 -0.248964 0.895137 0.442802 0.500590 +0.172004 0.926179 0.879637 0.369792 -0.248964 0.895137 0.354679 0.552177 +0.251929 1.034970 0.841469 0.494738 -0.059284 0.867018 0.448417 0.614728 +0.172004 0.926179 0.879637 0.494738 -0.059284 0.867018 0.354679 0.552177 +0.257483 0.861991 0.826472 0.494738 -0.059284 0.867018 0.442802 0.500590 +0.088868 0.732977 0.769612 -0.464125 -0.172382 0.868834 0.611640 0.321953 +0.191441 0.814931 0.840666 -0.464125 -0.172382 0.868834 0.621100 0.445506 +0.087118 0.767209 0.775469 -0.464125 -0.172382 0.868834 0.591174 0.331685 +0.172004 0.926179 0.879637 -0.368152 -0.364025 0.855541 0.547057 0.464224 +0.087118 0.767209 0.775469 -0.368152 -0.364025 0.855541 0.591174 0.331685 +0.191441 0.814931 0.840666 -0.368152 -0.364025 0.855541 0.621100 0.445506 +0.091849 0.699313 0.479491 -0.401310 -0.909114 -0.111632 0.668851 0.328636 +0.103255 0.692424 0.494590 -0.401310 -0.909114 -0.111632 0.678587 0.319715 +0.030152 0.713972 0.581907 -0.401310 -0.909114 -0.111632 0.629432 0.383750 +0.047675 0.689279 0.582939 -0.711989 -0.524754 -0.466589 0.652656 0.374323 +0.030152 0.713972 0.581907 -0.711989 -0.524754 -0.466589 0.629432 0.383750 +0.103255 0.692424 0.494590 -0.711989 -0.524754 -0.466589 0.678587 0.319715 +0.316694 0.826608 0.395121 0.395115 -0.377270 -0.837586 0.610332 0.151220 +0.311188 0.743750 0.429845 0.395115 -0.377270 -0.837586 0.656125 0.181662 +0.194984 0.710710 0.389910 0.395115 -0.377270 -0.837586 0.617414 0.303860 +0.193418 0.679360 0.414036 0.407297 -0.569691 -0.713835 0.634999 0.314880 +0.194984 0.710710 0.389910 0.407297 -0.569691 -0.713835 0.617414 0.303860 +0.311188 0.743750 0.429845 0.407297 -0.569691 -0.713835 0.656125 0.181662 +0.380000 0.850625 0.479387 0.633062 -0.049499 -0.772517 0.574523 0.479569 +0.311188 0.743750 0.429845 0.633062 -0.049499 -0.772517 0.492933 0.417046 +0.346506 0.970240 0.444275 0.633062 -0.049499 -0.772517 0.546340 0.561778 +0.316694 0.826608 0.395121 0.973526 -0.140312 -0.180444 0.504452 0.470815 +0.346506 0.970240 0.444275 0.973526 -0.140312 -0.180444 0.546340 0.561778 +0.311188 0.743750 0.429845 0.973526 -0.140312 -0.180444 0.492933 0.417046 +0.380000 0.850625 0.479387 0.980976 -0.192388 0.025927 0.574523 0.479569 +0.388560 0.906970 0.573610 0.980976 -0.192388 0.025927 0.587564 0.515599 +0.343117 0.669788 0.533016 0.980976 -0.192388 0.025927 0.522490 0.364972 +0.346101 0.684474 0.613384 0.982202 -0.187818 -0.002147 0.526704 0.374280 +0.343117 0.669788 0.533016 0.982202 -0.187818 -0.002147 0.522490 0.364972 +0.388560 0.906970 0.573610 0.982202 -0.187818 -0.002147 0.587564 0.515599 +0.257483 0.861991 0.826472 0.388084 -0.279761 0.878137 0.416312 0.476294 +0.191441 0.814931 0.840666 0.388084 -0.279761 0.878137 0.379072 0.407513 +0.228561 0.667726 0.777364 0.388084 -0.279761 0.878137 0.470820 0.356119 +0.174726 0.655484 0.772485 0.006223 -0.393716 0.919211 0.429812 0.313597 +0.228561 0.667726 0.777364 0.006223 -0.393716 0.919211 0.470820 0.356119 +0.191441 0.814931 0.840666 0.006223 -0.393716 0.919211 0.379072 0.407513 +0.088868 0.732977 0.769612 -0.341962 -0.333650 0.878487 0.647638 0.321305 +0.098672 0.649914 0.741881 -0.341962 -0.333650 0.878487 0.701201 0.337032 +0.191441 0.814931 0.840666 -0.341962 -0.333650 0.878487 0.650880 0.197433 +0.174726 0.655484 0.772485 -0.329157 -0.341881 0.880212 0.735943 0.261924 +0.191441 0.814931 0.840666 -0.329157 -0.341881 0.880212 0.650880 0.197433 +0.098672 0.649914 0.741881 -0.329157 -0.341881 0.880212 0.701201 0.337032 +0.047675 0.689279 0.582939 -0.738573 -0.471945 -0.481433 0.652656 0.374323 +0.103255 0.692424 0.494590 -0.738573 -0.471945 -0.481433 0.678587 0.319715 +0.070740 0.644639 0.591315 -0.738573 -0.471945 -0.481433 0.690335 0.365595 +0.116679 0.650594 0.512235 -0.759798 -0.444126 -0.474825 0.709802 0.319442 +0.070740 0.644639 0.591315 -0.759798 -0.444126 -0.474825 0.690335 0.365595 +0.103255 0.692424 0.494590 -0.759798 -0.444126 -0.474825 0.678587 0.319715 +0.311188 0.743750 0.429845 0.345989 -0.427800 -0.835032 0.656125 0.181662 +0.291123 0.647226 0.470982 0.345989 -0.427800 -0.835032 0.702649 0.230306 +0.193418 0.679360 0.414036 0.345989 -0.427800 -0.835032 0.634999 0.314880 +0.196093 0.612980 0.452835 0.325391 -0.467352 -0.822011 0.675226 0.332428 +0.193418 0.679360 0.414036 0.325391 -0.467352 -0.822011 0.634999 0.314880 +0.291123 0.647226 0.470982 0.325391 -0.467352 -0.822011 0.702649 0.230306 +0.380000 0.850625 0.479387 0.823111 -0.309148 -0.476357 0.609715 0.564214 +0.343117 0.669788 0.533016 0.823111 -0.309148 -0.476357 0.692579 0.469485 +0.311188 0.743750 0.429845 0.823111 -0.309148 -0.476357 0.632945 0.464082 +0.291123 0.647226 0.470982 0.772612 -0.377998 -0.510087 0.676967 0.413164 +0.311188 0.743750 0.429845 0.772612 -0.377998 -0.510087 0.632945 0.464082 +0.343117 0.669788 0.533016 0.772612 -0.377998 -0.510087 0.692579 0.469485 +0.261987 0.326739 0.648849 0.958602 0.051102 0.280127 0.581471 0.262852 +0.270736 0.325093 0.619210 0.958602 0.051102 0.280127 0.584686 0.253837 +0.260287 0.394408 0.642322 0.958602 0.051102 0.280127 0.620731 0.284181 +0.270736 0.391070 0.608116 0.956564 0.048341 0.287487 0.623759 0.273015 +0.260287 0.394408 0.642322 0.956564 0.048341 0.287487 0.620731 0.284181 +0.270736 0.325093 0.619210 0.956564 0.048341 0.287487 0.584686 0.253837 +0.175497 0.405860 0.729689 -0.636699 -0.192296 0.746751 0.484172 0.296707 +0.178600 0.333697 0.713752 -0.636699 -0.192296 0.746751 0.440453 0.277565 +0.201002 0.409529 0.752380 -0.636699 -0.192296 0.746751 0.495749 0.271399 +0.200959 0.338152 0.732715 -0.607555 -0.210630 0.765841 0.451372 0.255653 +0.201002 0.409529 0.752380 -0.607555 -0.210630 0.765841 0.495749 0.271399 +0.178600 0.333697 0.713752 -0.607555 -0.210630 0.765841 0.440453 0.277565 +0.178600 0.333697 0.713752 -0.878166 -0.138856 0.457759 0.440453 0.277565 +0.175497 0.405860 0.729689 -0.878166 -0.138856 0.457759 0.484172 0.296707 +0.162211 0.329839 0.681141 -0.878166 -0.138856 0.457759 0.432081 0.293495 +0.161989 0.401702 0.688799 -0.947773 -0.036690 0.316828 0.476664 0.309620 +0.162211 0.329839 0.681141 -0.947773 -0.036690 0.316828 0.432081 0.293495 +0.175497 0.405860 0.729689 -0.947773 -0.036690 0.316828 0.484172 0.296707 +0.167913 0.391086 0.575845 -0.857371 -0.147513 -0.493108 0.472225 0.301205 +0.176281 0.325084 0.581040 -0.857371 -0.147513 -0.493108 0.434254 0.278035 +0.142612 0.398601 0.617588 -0.857371 -0.147513 -0.493108 0.467673 0.328777 +0.148225 0.328049 0.609419 -0.709607 0.025076 -0.704151 0.425871 0.307422 +0.142612 0.398601 0.617588 -0.709607 0.025076 -0.704151 0.467673 0.328777 +0.176281 0.325084 0.581040 -0.709607 0.025076 -0.704151 0.434254 0.278035 +0.250399 0.324189 0.586577 0.295443 -0.105130 -0.949558 0.574410 0.273419 +0.214007 0.326258 0.575025 0.295443 -0.105130 -0.949558 0.558205 0.309531 +0.244685 0.386784 0.577869 0.295443 -0.105130 -0.949558 0.608743 0.297189 +0.210193 0.387937 0.564010 0.364983 -0.141758 -0.920159 0.592906 0.331182 +0.244685 0.386784 0.577869 0.364983 -0.141758 -0.920159 0.608743 0.297189 +0.214007 0.326258 0.575025 0.364983 -0.141758 -0.920159 0.558205 0.309531 +0.250399 0.324189 0.586577 0.848628 0.003878 -0.528976 0.574410 0.273419 +0.244685 0.386784 0.577869 0.848628 0.003878 -0.528976 0.608743 0.297189 +0.270736 0.325093 0.619210 0.848628 0.003878 -0.528976 0.584686 0.253837 +0.270736 0.391070 0.608116 0.760796 -0.107617 -0.640006 0.623759 0.273015 +0.270736 0.325093 0.619210 0.760796 -0.107617 -0.640006 0.584686 0.253837 +0.244685 0.386784 0.577869 0.760796 -0.107617 -0.640006 0.608743 0.297189 +0.277643 0.163536 0.564086 0.999130 0.034941 0.022786 0.492318 0.200135 +0.270736 0.325093 0.619210 0.999130 0.034941 0.022786 0.584686 0.253837 +0.277107 0.159115 0.594368 0.999130 0.034941 0.022786 0.489443 0.199372 +0.261987 0.326739 0.648849 0.958988 -0.005605 0.283391 0.581471 0.262852 +0.277107 0.159115 0.594368 0.958988 -0.005605 0.283391 0.489443 0.199372 +0.270736 0.325093 0.619210 0.958988 -0.005605 0.283391 0.584686 0.253837 +0.178600 0.333697 0.713752 -0.584641 -0.290358 0.757554 0.545652 0.346244 +0.191454 0.149048 0.652899 -0.584641 -0.290358 0.757554 0.442456 0.280027 +0.200959 0.338152 0.732715 -0.584641 -0.290358 0.757554 0.559000 0.325721 +0.209338 0.151392 0.666894 -0.564059 -0.296867 0.770524 0.452410 0.263256 +0.200959 0.338152 0.732715 -0.564059 -0.296867 0.770524 0.559000 0.325721 +0.191454 0.149048 0.652899 -0.564059 -0.296867 0.770524 0.442456 0.280027 +0.191454 0.149048 0.652899 -0.783683 -0.242956 0.571676 0.442456 0.280027 +0.178600 0.333697 0.713752 -0.783683 -0.242956 0.571676 0.545652 0.346244 +0.166089 0.155459 0.620852 -0.783683 -0.242956 0.571676 0.434104 0.306641 +0.162211 0.329839 0.681141 -0.870649 -0.177916 0.458602 0.535517 0.361115 +0.166089 0.155459 0.620852 -0.870649 -0.177916 0.458602 0.434104 0.306641 +0.178600 0.333697 0.713752 -0.870649 -0.177916 0.458602 0.545652 0.346244 +0.210195 0.169644 0.534058 -0.566799 0.122576 -0.814686 0.463630 0.267726 +0.182677 0.164101 0.552369 -0.566799 0.122576 -0.814686 0.447167 0.292966 +0.176281 0.325084 0.581040 -0.566799 0.122576 -0.814686 0.539440 0.346004 +0.148225 0.328049 0.609419 -0.702628 0.097614 -0.704830 0.527758 0.374242 +0.176281 0.325084 0.581040 -0.702628 0.097614 -0.704830 0.539440 0.346004 +0.182677 0.164101 0.552369 -0.702628 0.097614 -0.704830 0.447167 0.292966 +0.249859 0.169297 0.543077 0.323568 0.254790 -0.911255 0.482422 0.228921 +0.229663 0.171279 0.536460 0.323568 0.254790 -0.911255 0.473923 0.249204 +0.250399 0.324189 0.586577 0.323568 0.254790 -0.911255 0.574410 0.273419 +0.214007 0.326258 0.575025 0.305580 0.258882 -0.916297 0.558205 0.309531 +0.250399 0.324189 0.586577 0.305580 0.258882 -0.916297 0.574410 0.273419 +0.229663 0.171279 0.536460 0.305580 0.258882 -0.916297 0.473923 0.249204 +0.249859 0.169297 0.543077 0.617019 0.210781 -0.758195 0.482422 0.228921 +0.250399 0.324189 0.586577 0.617019 0.210781 -0.758195 0.574410 0.273419 +0.277643 0.163536 0.564086 0.617019 0.210781 -0.758195 0.492318 0.200135 +0.270736 0.325093 0.619210 0.826527 0.213103 -0.520998 0.584686 0.253837 +0.277643 0.163536 0.564086 0.826527 0.213103 -0.520998 0.492318 0.200135 +0.250399 0.324189 0.586577 0.826527 0.213103 -0.520998 0.574410 0.273419 +0.232782 0.332184 0.708077 0.866507 -0.137048 0.479983 0.570707 0.292934 +0.231067 0.153241 0.660080 0.866507 -0.137048 0.479983 0.463913 0.242590 +0.246793 0.328611 0.681763 0.866507 -0.137048 0.479983 0.575301 0.278223 +0.268234 0.156155 0.627424 0.659178 -0.150213 0.736831 0.483440 0.207170 +0.246793 0.328611 0.681763 0.659178 -0.150213 0.736831 0.575301 0.278223 +0.231067 0.153241 0.660080 0.659178 -0.150213 0.736831 0.463913 0.242590 +0.232782 0.332184 0.708077 0.870044 -0.116326 0.479053 0.570707 0.292934 +0.246793 0.328611 0.681763 0.870044 -0.116326 0.479053 0.575301 0.278223 +0.238095 0.403665 0.715785 0.870044 -0.116326 0.479053 0.615584 0.308528 +0.247846 0.398317 0.680231 0.964016 -0.008723 0.265702 0.617087 0.297458 +0.238095 0.403665 0.715785 0.964016 -0.008723 0.265702 0.615584 0.308528 +0.246793 0.328611 0.681763 0.964016 -0.008723 0.265702 0.575301 0.278223 +0.249918 0.477302 0.703367 0.877538 -0.060682 0.475652 0.559704 0.365412 +0.238095 0.403665 0.715785 0.877538 -0.060682 0.475652 0.526563 0.403183 +0.265205 0.482234 0.675793 0.877538 -0.060682 0.475652 0.576032 0.369899 +0.247846 0.398317 0.680231 0.941469 -0.179667 0.285231 0.534481 0.411063 +0.265205 0.482234 0.675793 0.941469 -0.179667 0.285231 0.576032 0.369899 +0.238095 0.403665 0.715785 0.941469 -0.179667 0.285231 0.526563 0.403183 +0.310224 0.897804 0.786234 0.896303 -0.195266 0.398136 0.527565 0.372081 +0.275723 0.676234 0.755235 0.896303 -0.195266 0.398136 0.437944 0.250668 +0.362855 0.934781 0.685884 0.896303 -0.195266 0.398136 0.589749 0.373220 +0.310846 0.685292 0.688865 0.879577 -0.178087 0.441167 0.475575 0.241878 +0.362855 0.934781 0.685884 0.879577 -0.178087 0.441167 0.589749 0.373220 +0.275723 0.676234 0.755235 0.879577 -0.178087 0.441167 0.437944 0.250668 +0.310224 0.897804 0.786234 0.880102 0.032740 0.473655 0.502239 0.518256 +0.362855 0.934781 0.685884 0.880102 0.032740 0.473655 0.561637 0.536697 +0.315812 1.086902 0.762780 0.880102 0.032740 0.473655 0.520985 0.641738 +0.343043 1.105304 0.675234 0.938880 0.129015 0.319155 0.551668 0.650801 +0.315812 1.086902 0.762780 0.938880 0.129015 0.319155 0.520985 0.641738 +0.362855 0.934781 0.685884 0.938880 0.129015 0.319155 0.561637 0.536697 +0.320365 -0.000390 0.485449 0.951555 0.299593 -0.069191 0.415701 0.110796 +0.305828 0.050020 0.503800 0.951555 0.299593 -0.069191 0.438592 0.139634 +0.323680 -0.000566 0.530277 0.951555 0.299593 -0.069191 0.417185 0.107509 +0.312485 0.044161 0.544627 0.954130 0.276021 -0.115963 0.438311 0.131435 +0.323680 -0.000566 0.530277 0.954130 0.276021 -0.115963 0.417185 0.107509 +0.305828 0.050020 0.503800 0.954130 0.276021 -0.115963 0.438592 0.139634 +0.186751 0.034908 0.612696 -0.341499 -0.154462 0.927103 0.433778 0.323696 +0.187262 -0.000566 0.606974 -0.341499 -0.154462 0.927103 0.429820 0.300624 +0.217708 0.032393 0.623680 -0.341499 -0.154462 0.927103 0.466481 0.315595 +0.222234 -0.000566 0.612449 -0.145624 -0.336965 0.930187 0.467126 0.293311 +0.217708 0.032393 0.623680 -0.145624 -0.336965 0.930187 0.466481 0.315595 +0.187262 -0.000566 0.606974 -0.145624 -0.336965 0.930187 0.429820 0.300624 +0.187262 -0.000566 0.606974 -0.821900 -0.102230 0.560383 0.429820 0.300624 +0.186751 0.034908 0.612696 -0.821900 -0.102230 0.560383 0.433778 0.323696 +0.153742 -0.000566 0.557811 -0.821900 -0.102230 0.560383 0.394064 0.307633 +0.155436 0.044730 0.559053 -0.862004 0.018348 0.506569 0.401620 0.336603 +0.153742 -0.000566 0.557811 -0.862004 0.018348 0.506569 0.394064 0.307633 +0.186751 0.034908 0.612696 -0.862004 0.018348 0.506569 0.433778 0.323696 +0.220789 -0.000566 0.442452 -0.281564 0.327320 -0.901989 0.465584 0.293613 +0.167233 -0.000566 0.459170 -0.281564 0.327320 -0.901989 0.408456 0.304812 +0.223805 0.052471 0.460757 -0.281564 0.327320 -0.901989 0.475532 0.327318 +0.171417 0.048275 0.482939 -0.380913 0.430782 -0.818127 0.419116 0.335557 +0.223805 0.052471 0.460757 -0.380913 0.430782 -0.818127 0.475532 0.327318 +0.167233 -0.000566 0.459170 -0.380913 0.430782 -0.818127 0.408456 0.304812 +0.269638 -0.000566 0.446302 -0.590922 0.178550 -0.786722 0.391300 0.160244 +0.242179 -0.000566 0.466927 -0.590922 0.178550 -0.786722 0.378148 0.187038 +0.260516 0.052600 0.465220 -0.590922 0.178550 -0.786722 0.418417 0.184599 +0.239054 0.052529 0.473485 -0.358062 0.093669 -0.928988 0.408095 0.205521 +0.260516 0.052600 0.465220 -0.358062 0.093669 -0.928988 0.418417 0.184599 +0.242179 -0.000566 0.466927 -0.358062 0.093669 -0.928988 0.378148 0.187038 +0.269638 -0.000566 0.446302 0.569059 0.360599 -0.739013 0.391300 0.160244 +0.260516 0.052600 0.465220 0.569059 0.360599 -0.739013 0.418417 0.184599 +0.320365 -0.000390 0.485449 0.569059 0.360599 -0.739013 0.415701 0.110796 +0.305828 0.050020 0.503800 0.601894 0.420675 -0.678790 0.438592 0.139634 +0.320365 -0.000390 0.485449 0.601894 0.420675 -0.678790 0.415701 0.110796 +0.260516 0.052600 0.465220 0.601894 0.420675 -0.678790 0.418417 0.184599 +0.307234 -0.000390 0.573768 0.630848 -0.185228 0.753473 0.409411 0.123609 +0.306784 0.041477 0.584437 0.630848 -0.185228 0.753473 0.433990 0.136217 +0.254878 -0.000566 0.617560 0.630848 -0.185228 0.753473 0.384231 0.174646 +0.251605 0.036680 0.623111 0.576624 -0.070636 0.813950 0.404720 0.188667 +0.254878 -0.000566 0.617560 0.576624 -0.070636 0.813950 0.384231 0.174646 +0.306784 0.041477 0.584437 0.576624 -0.070636 0.813950 0.433990 0.136217 +0.305828 0.050020 0.503800 0.898504 0.430717 -0.084693 0.438592 0.139634 +0.289658 0.087188 0.521276 0.898504 0.430717 -0.084693 0.452858 0.166217 +0.312485 0.044161 0.544627 0.898504 0.430717 -0.084693 0.438311 0.131435 +0.291826 0.081698 0.566355 0.879753 0.475177 0.015560 0.450645 0.162505 +0.312485 0.044161 0.544627 0.879753 0.475177 0.015560 0.438311 0.131435 +0.289658 0.087188 0.521276 0.879753 0.475177 0.015560 0.452858 0.166217 +0.186751 0.034908 0.612696 -0.312783 -0.586262 0.747304 0.372608 0.251436 +0.217708 0.032393 0.623680 -0.312783 -0.586262 0.747304 0.385946 0.220497 +0.188509 0.076114 0.645758 -0.312783 -0.586262 0.747304 0.397853 0.261699 +0.209317 0.075414 0.654582 -0.331394 -0.592214 0.734480 0.407405 0.241191 +0.188509 0.076114 0.645758 -0.331394 -0.592214 0.734480 0.397853 0.261699 +0.217708 0.032393 0.623680 -0.331394 -0.592214 0.734480 0.385946 0.220497 +0.186751 0.034908 0.612696 -0.843999 -0.313287 0.435336 0.433778 0.323696 +0.188509 0.076114 0.645758 -0.843999 -0.313287 0.435336 0.440882 0.350005 +0.155436 0.044730 0.559053 -0.843999 -0.313287 0.435336 0.401620 0.336603 +0.159072 0.082848 0.588271 -0.875425 -0.238673 0.420316 0.410336 0.360520 +0.155436 0.044730 0.559053 -0.875425 -0.238673 0.420316 0.401620 0.336603 +0.188509 0.076114 0.645758 -0.875425 -0.238673 0.420316 0.440882 0.350005 +0.223805 0.052471 0.460757 -0.369409 0.511791 -0.775633 0.400757 0.220385 +0.171417 0.048275 0.482939 -0.369409 0.511791 -0.775633 0.373180 0.270286 +0.218592 0.091478 0.488978 -0.369409 0.511791 -0.775633 0.421361 0.236810 +0.179070 0.086362 0.506104 -0.393394 0.534157 -0.748276 0.399402 0.273888 +0.218592 0.091478 0.488978 -0.393394 0.534157 -0.748276 0.421361 0.236810 +0.171417 0.048275 0.482939 -0.393394 0.534157 -0.748276 0.373180 0.270286 +0.260516 0.052600 0.465220 -0.311055 0.507788 -0.803366 0.418417 0.184599 +0.239054 0.052529 0.473485 -0.311055 0.507788 -0.803366 0.408095 0.205521 +0.254084 0.091707 0.492429 -0.311055 0.507788 -0.803366 0.438496 0.202244 +0.236035 0.085419 0.495774 -0.325227 0.509861 -0.796410 0.426127 0.218028 +0.254084 0.091707 0.492429 -0.325227 0.509861 -0.796410 0.438496 0.202244 +0.239054 0.052529 0.473485 -0.325227 0.509861 -0.796410 0.408095 0.205521 +0.260516 0.052600 0.465220 0.566514 0.531387 -0.629833 0.418417 0.184599 +0.254084 0.091707 0.492429 0.566514 0.531387 -0.629833 0.438496 0.202244 +0.305828 0.050020 0.503800 0.566514 0.531387 -0.629833 0.438592 0.139634 +0.289658 0.087188 0.521276 0.570637 0.539402 -0.619208 0.452858 0.166217 +0.305828 0.050020 0.503800 0.570637 0.539402 -0.619208 0.438592 0.139634 +0.254084 0.091707 0.492429 0.570637 0.539402 -0.619208 0.438496 0.202244 +0.306784 0.041477 0.584437 0.571332 -0.236949 0.785770 0.433990 0.136217 +0.286405 0.079691 0.610778 0.571332 -0.236949 0.785770 0.446860 0.167211 +0.251605 0.036680 0.623111 0.571332 -0.236949 0.785770 0.404720 0.188667 +0.235307 0.079683 0.654334 0.620226 -0.293198 0.727568 0.422382 0.217071 +0.251605 0.036680 0.623111 0.620226 -0.293198 0.727568 0.404720 0.188667 +0.286405 0.079691 0.610778 0.620226 -0.293198 0.727568 0.446860 0.167211 +0.289658 0.087188 0.521276 0.972132 0.233719 -0.018289 0.429624 0.306698 +0.282348 0.119478 0.545361 0.972132 0.233719 -0.018289 0.425925 0.329130 +0.291826 0.081698 0.566355 0.972132 0.233719 -0.018289 0.431241 0.302690 +0.284402 0.112761 0.576404 0.971556 0.236445 -0.013123 0.427263 0.324353 +0.291826 0.081698 0.566355 0.971556 0.236445 -0.013123 0.431241 0.302690 +0.282348 0.119478 0.545361 0.971556 0.236445 -0.013123 0.425925 0.329130 +0.188509 0.076114 0.645758 -0.369164 -0.400216 0.838776 0.397853 0.261699 +0.209317 0.075414 0.654582 -0.369164 -0.400216 0.838776 0.407405 0.241191 +0.190077 0.095630 0.655760 -0.369164 -0.400216 0.838776 0.410162 0.265842 +0.208967 0.095824 0.676069 -0.587614 -0.591421 0.552206 0.419325 0.247465 +0.190077 0.095630 0.655760 -0.587614 -0.591421 0.552206 0.410162 0.265842 +0.209317 0.075414 0.654582 -0.587614 -0.591421 0.552206 0.407405 0.241191 +0.188509 0.076114 0.645758 -0.886828 -0.152337 0.436268 0.397853 0.261699 +0.190077 0.095630 0.655760 -0.886828 -0.152337 0.436268 0.410162 0.265842 +0.159072 0.082848 0.588271 -0.886828 -0.152337 0.436268 0.387742 0.292381 +0.163027 0.111351 0.600441 -0.903153 -0.056399 0.425598 0.406516 0.296807 +0.159072 0.082848 0.588271 -0.903153 -0.056399 0.425598 0.387742 0.292381 +0.190077 0.095630 0.655760 -0.903153 -0.056399 0.425598 0.410162 0.265842 +0.218592 0.091478 0.488978 -0.396735 0.510041 -0.763190 0.421361 0.236810 +0.179070 0.086362 0.506104 -0.396735 0.510041 -0.763190 0.399402 0.273888 +0.214153 0.127241 0.515186 -0.396735 0.510041 -0.763190 0.440414 0.251538 +0.182943 0.120103 0.532746 -0.497680 0.571979 -0.652039 0.421238 0.279918 +0.214153 0.127241 0.515186 -0.497680 0.571979 -0.652039 0.440414 0.251538 +0.179070 0.086362 0.506104 -0.497680 0.571979 -0.652039 0.399402 0.273888 +0.254084 0.091707 0.492429 -0.343441 0.602596 -0.720365 0.438496 0.202244 +0.236035 0.085419 0.495774 -0.343441 0.602596 -0.720365 0.426127 0.218028 +0.251436 0.128080 0.524118 -0.343441 0.602596 -0.720365 0.458768 0.215400 +0.232231 0.128260 0.518961 0.231853 0.478861 -0.846721 0.449676 0.234193 +0.251436 0.128080 0.524118 0.231853 0.478861 -0.846721 0.458768 0.215400 +0.236035 0.085419 0.495774 0.231853 0.478861 -0.846721 0.426127 0.218028 +0.254084 0.091707 0.492429 0.561240 0.566529 -0.603370 0.392250 0.317062 +0.251436 0.128080 0.524118 0.561240 0.566529 -0.603370 0.394042 0.341163 +0.289658 0.087188 0.521276 0.561240 0.566529 -0.603370 0.429624 0.306698 +0.282348 0.119478 0.545361 0.566897 0.571142 -0.593654 0.425925 0.329130 +0.289658 0.087188 0.521276 0.566897 0.571142 -0.593654 0.429624 0.306698 +0.251436 0.128080 0.524118 0.566897 0.571142 -0.593654 0.394042 0.341163 +0.286405 0.079691 0.610778 0.646511 0.082108 0.758473 0.446860 0.167211 +0.277154 0.111693 0.615199 0.646511 0.082108 0.758473 0.461381 0.185541 +0.235307 0.079683 0.654334 0.646511 0.082108 0.758473 0.422382 0.217071 +0.232840 0.096986 0.663758 0.752565 -0.228979 0.617426 0.431447 0.224508 +0.235307 0.079683 0.654334 0.752565 -0.228979 0.617426 0.422382 0.217071 +0.277154 0.111693 0.615199 0.752565 -0.228979 0.617426 0.461381 0.185541 +0.315812 1.086902 0.762780 0.755770 0.058561 0.652214 0.520985 0.641738 +0.251929 1.034970 0.841469 0.755770 0.058561 0.652214 0.448417 0.614728 +0.310224 0.897804 0.786234 0.755770 0.058561 0.652214 0.502239 0.518256 +0.257483 0.861991 0.826472 0.626019 -0.047383 0.778367 0.442802 0.500590 +0.310224 0.897804 0.786234 0.626019 -0.047383 0.778367 0.502239 0.518256 +0.251929 1.034970 0.841469 0.626019 -0.047383 0.778367 0.448417 0.614728 +0.310224 0.897804 0.786234 0.677688 -0.204351 0.706385 0.544965 0.366105 +0.257483 0.861991 0.826472 0.677688 -0.204351 0.706385 0.483533 0.357676 +0.275723 0.676234 0.755235 0.677688 -0.204351 0.706385 0.471863 0.234086 +0.228561 0.667726 0.777364 0.448746 -0.281237 0.848253 0.420835 0.241563 +0.275723 0.676234 0.755235 0.448746 -0.281237 0.848253 0.471863 0.234086 +0.257483 0.861991 0.826472 0.448746 -0.281237 0.848253 0.483533 0.357676 +0.249918 0.477302 0.703367 0.416635 0.085728 0.905023 0.559704 0.365412 +0.207105 0.466516 0.724098 0.416635 0.085728 0.905023 0.514867 0.351057 +0.238095 0.403665 0.715785 0.416635 0.085728 0.905023 0.526563 0.403183 +0.201002 0.409529 0.752380 0.699072 0.256405 0.667499 0.492185 0.381763 +0.238095 0.403665 0.715785 0.699072 0.256405 0.667499 0.526563 0.403183 +0.207105 0.466516 0.724098 0.699072 0.256405 0.667499 0.514867 0.351057 +0.232782 0.332184 0.708077 0.591678 -0.129776 0.795660 0.570707 0.292934 +0.238095 0.403665 0.715785 0.591678 -0.129776 0.795660 0.615584 0.308528 +0.200959 0.338152 0.732715 0.591678 -0.129776 0.795660 0.559000 0.325721 +0.201002 0.409529 0.752380 0.672606 -0.196930 0.713316 0.601291 0.346427 +0.200959 0.338152 0.732715 0.672606 -0.196930 0.713316 0.559000 0.325721 +0.238095 0.403665 0.715785 0.672606 -0.196930 0.713316 0.615584 0.308528 +0.231067 0.153241 0.660080 0.309026 -0.249149 0.917839 0.463913 0.242590 +0.232782 0.332184 0.708077 0.309026 -0.249149 0.917839 0.570707 0.292934 +0.209338 0.151392 0.666894 0.309026 -0.249149 0.917839 0.452410 0.263256 +0.200959 0.338152 0.732715 0.562355 -0.252301 0.787465 0.559000 0.325721 +0.209338 0.151392 0.666894 0.562355 -0.252301 0.787465 0.452410 0.263256 +0.232782 0.332184 0.708077 0.562355 -0.252301 0.787465 0.570707 0.292934 +0.235307 0.079683 0.654334 0.085135 -0.467178 0.880055 0.422382 0.217071 +0.232840 0.096986 0.663758 0.085135 -0.467178 0.880055 0.431447 0.224508 +0.209317 0.075414 0.654582 0.085135 -0.467178 0.880055 0.407405 0.241191 +0.208967 0.095824 0.676069 0.364976 -0.672052 0.644312 0.419325 0.247465 +0.209317 0.075414 0.654582 0.364976 -0.672052 0.644312 0.407405 0.241191 +0.232840 0.096986 0.663758 0.364976 -0.672052 0.644312 0.431447 0.224508 +0.251605 0.036680 0.623111 0.085126 -0.564074 0.821325 0.404720 0.188667 +0.235307 0.079683 0.654334 0.085126 -0.564074 0.821325 0.422382 0.217071 +0.217708 0.032393 0.623680 0.085126 -0.564074 0.821325 0.385946 0.220497 +0.209317 0.075414 0.654582 0.100988 -0.567345 0.817264 0.407405 0.241191 +0.217708 0.032393 0.623680 0.100988 -0.567345 0.817264 0.385946 0.220497 +0.235307 0.079683 0.654334 0.100988 -0.567345 0.817264 0.422382 0.217071 +0.254878 -0.000566 0.617560 -0.152722 -0.158794 0.975428 0.384231 0.174646 +0.251605 0.036680 0.623111 -0.152722 -0.158794 0.975428 0.404720 0.188667 +0.222234 -0.000566 0.612449 -0.152722 -0.158794 0.975428 0.368595 0.206500 +0.217708 0.032393 0.623680 0.055763 -0.315174 0.947394 0.385946 0.220497 +0.222234 -0.000566 0.612449 0.055763 -0.315174 0.947394 0.368595 0.206500 +0.251605 0.036680 0.623111 0.055763 -0.315174 0.947394 0.404720 0.188667 +0.051595 0.703427 0.678974 -0.876681 -0.469485 0.104950 0.646326 0.366248 +0.037486 0.731377 0.686149 -0.876681 -0.469485 0.104950 0.622900 0.371391 +0.047675 0.689279 0.582939 -0.876681 -0.469485 0.104950 0.652656 0.374323 +0.030152 0.713972 0.581907 -0.809063 -0.567799 0.151726 0.629432 0.383750 +0.047675 0.689279 0.582939 -0.809063 -0.567799 0.151726 0.652656 0.374323 +0.037486 0.731377 0.686149 -0.809063 -0.567799 0.151726 0.622900 0.371391 +0.068726 0.647439 0.667268 -0.956991 -0.289744 -0.014695 0.687688 0.366690 +0.051595 0.703427 0.678974 -0.956991 -0.289744 -0.014695 0.646326 0.366248 +0.070740 0.644639 0.591315 -0.956991 -0.289744 -0.014695 0.690335 0.365595 +0.047675 0.689279 0.582939 -0.891469 -0.441579 0.101442 0.652656 0.374323 +0.070740 0.644639 0.591315 -0.891469 -0.441579 0.101442 0.690335 0.365595 +0.051595 0.703427 0.678974 -0.891469 -0.441579 0.101442 0.646326 0.366248 +0.141864 0.398320 0.649581 -0.963607 -0.266164 -0.024867 0.870187 0.371637 +0.116559 0.489535 0.653839 -0.963607 -0.266164 -0.024867 0.804102 0.368402 +0.142612 0.398601 0.617588 -0.963607 -0.266164 -0.024867 0.870396 0.370830 +0.121016 0.489468 0.612952 -0.966310 -0.235013 -0.104950 0.806368 0.364120 +0.142612 0.398601 0.617588 -0.966310 -0.235013 -0.104950 0.870396 0.370830 +0.116559 0.489535 0.653839 -0.966310 -0.235013 -0.104950 0.804102 0.368402 +0.142688 0.328296 0.649372 -0.990480 -0.011246 -0.137199 0.424006 0.313147 +0.141864 0.398320 0.649581 -0.990480 -0.011246 -0.137199 0.467226 0.329481 +0.148225 0.328049 0.609419 -0.990480 -0.011246 -0.137199 0.425871 0.307422 +0.142612 0.398601 0.617588 -0.996779 -0.076526 -0.023977 0.467673 0.328777 +0.148225 0.328049 0.609419 -0.996779 -0.076526 -0.023977 0.425871 0.307422 +0.141864 0.398320 0.649581 -0.996779 -0.076526 -0.023977 0.467226 0.329481 +0.142688 0.328296 0.649372 -0.984726 -0.108967 -0.135797 0.525253 0.379717 +0.148225 0.328049 0.609419 -0.984726 -0.108967 -0.135797 0.527758 0.374242 +0.169900 0.162331 0.585220 -0.984726 -0.108967 -0.135797 0.439999 0.304920 +0.182677 0.164101 0.552369 -0.928574 -0.068178 -0.364831 0.447167 0.292966 +0.169900 0.162331 0.585220 -0.928574 -0.068178 -0.364831 0.439999 0.304920 +0.148225 0.328049 0.609419 -0.928574 -0.068178 -0.364831 0.527758 0.374242 +0.168712 0.116333 0.566050 -0.897222 0.264742 -0.353420 0.412189 0.292708 +0.182943 0.120103 0.532746 -0.897222 0.264742 -0.353420 0.421238 0.279918 +0.164135 0.084703 0.553976 -0.897222 0.264742 -0.353420 0.391265 0.287980 +0.179070 0.086362 0.506104 -0.907803 0.319099 -0.272156 0.399402 0.273888 +0.164135 0.084703 0.553976 -0.907803 0.319099 -0.272156 0.391265 0.287980 +0.182943 0.120103 0.532746 -0.907803 0.319099 -0.272156 0.421238 0.279918 +0.164135 0.084703 0.553976 -0.862516 0.437713 -0.253917 0.415971 0.360662 +0.179070 0.086362 0.506104 -0.862516 0.437713 -0.253917 0.432114 0.358613 +0.154307 0.045954 0.520563 -0.862516 0.437713 -0.253917 0.400571 0.337632 +0.171417 0.048275 0.482939 -0.847084 0.389877 -0.361171 0.419116 0.335557 +0.154307 0.045954 0.520563 -0.847084 0.389877 -0.361171 0.400571 0.337632 +0.179070 0.086362 0.506104 -0.847084 0.389877 -0.361171 0.432114 0.358613 +0.154307 0.045954 0.520563 -0.872804 0.308924 -0.377862 0.400571 0.337632 +0.171417 0.048275 0.482939 -0.872804 0.308924 -0.377862 0.419116 0.335557 +0.146152 -0.000566 0.501367 -0.872804 0.308924 -0.377862 0.385969 0.309220 +0.167233 -0.000566 0.459170 -0.858222 0.282178 -0.428755 0.408456 0.304812 +0.146152 -0.000566 0.501367 -0.858222 0.282178 -0.428755 0.385969 0.309220 +0.171417 0.048275 0.482939 -0.858222 0.282178 -0.428755 0.419116 0.335557 +0.103255 0.692424 0.494590 -0.307391 -0.931818 -0.192939 0.678587 0.319715 +0.091849 0.699313 0.479491 -0.307391 -0.931818 -0.192939 0.668851 0.328636 +0.193418 0.679360 0.414036 -0.307391 -0.931818 -0.192939 0.731295 0.236639 +0.194984 0.710710 0.389910 -0.536839 -0.497541 -0.681365 0.713711 0.225619 +0.193418 0.679360 0.414036 -0.536839 -0.497541 -0.681365 0.731295 0.236639 +0.091849 0.699313 0.479491 -0.536839 -0.497541 -0.681365 0.668851 0.328636 +0.116679 0.650594 0.512235 -0.661077 -0.461654 -0.591483 0.709802 0.319442 +0.103255 0.692424 0.494590 -0.661077 -0.461654 -0.591483 0.678587 0.319715 +0.196093 0.612980 0.452835 -0.661077 -0.461654 -0.591483 0.771522 0.254187 +0.193418 0.679360 0.414036 -0.640773 -0.406496 -0.651284 0.731295 0.236639 +0.196093 0.612980 0.452835 -0.640773 -0.406496 -0.651284 0.771522 0.254187 +0.103255 0.692424 0.494590 -0.640773 -0.406496 -0.651284 0.678587 0.319715 +0.147059 0.487339 0.559099 -0.533332 -0.255829 -0.806293 0.462544 0.309689 +0.204691 0.474041 0.525197 -0.533332 -0.255829 -0.806293 0.514728 0.345444 +0.167913 0.391086 0.575845 -0.533332 -0.255829 -0.806293 0.454562 0.376639 +0.210193 0.387937 0.564010 -0.274065 -0.409714 -0.870071 0.494786 0.398967 +0.167913 0.391086 0.575845 -0.274065 -0.409714 -0.870071 0.454562 0.376639 +0.204691 0.474041 0.525197 -0.274065 -0.409714 -0.870071 0.514728 0.345444 +0.167913 0.391086 0.575845 -0.275515 -0.110097 -0.954971 0.472225 0.301205 +0.210193 0.387937 0.564010 -0.275515 -0.110097 -0.954971 0.485680 0.257210 +0.176281 0.325084 0.581040 -0.275515 -0.110097 -0.954971 0.434254 0.278035 +0.214007 0.326258 0.575025 -0.149249 -0.182772 -0.971761 0.448736 0.239660 +0.176281 0.325084 0.581040 -0.149249 -0.182772 -0.971761 0.434254 0.278035 +0.210193 0.387937 0.564010 -0.149249 -0.182772 -0.971761 0.485680 0.257210 +0.176281 0.325084 0.581040 -0.159996 0.253448 -0.954026 0.539440 0.346004 +0.214007 0.326258 0.575025 -0.159996 0.253448 -0.954026 0.558205 0.309531 +0.210195 0.169644 0.534058 -0.159996 0.253448 -0.954026 0.463630 0.267726 +0.229663 0.171279 0.536460 0.097900 0.249618 -0.963383 0.473923 0.249204 +0.210195 0.169644 0.534058 0.097900 0.249618 -0.963383 0.463630 0.267726 +0.214007 0.326258 0.575025 0.097900 0.249618 -0.963383 0.558205 0.309531 +0.214153 0.127241 0.515186 0.131698 0.596532 -0.791710 0.440414 0.251538 +0.232231 0.128260 0.518961 0.131698 0.596532 -0.791710 0.449676 0.234193 +0.218592 0.091478 0.488978 0.131698 0.596532 -0.791710 0.421361 0.236810 +0.236035 0.085419 0.495774 0.456006 0.454596 -0.765115 0.426127 0.218028 +0.218592 0.091478 0.488978 0.456006 0.454596 -0.765115 0.421361 0.236810 +0.232231 0.128260 0.518961 0.456006 0.454596 -0.765115 0.449676 0.234193 +0.223805 0.052471 0.460757 0.538083 0.540094 -0.647121 0.400757 0.220385 +0.218592 0.091478 0.488978 0.538083 0.540094 -0.647121 0.421361 0.236810 +0.239054 0.052529 0.473485 0.538083 0.540094 -0.647121 0.408095 0.205521 +0.236035 0.085419 0.495774 0.461154 0.526404 -0.714308 0.426127 0.218028 +0.239054 0.052529 0.473485 0.461154 0.526404 -0.714308 0.408095 0.205521 +0.218592 0.091478 0.488978 0.461154 0.526404 -0.714308 0.421361 0.236810 +0.223805 0.052471 0.460757 0.624165 0.222947 -0.748807 0.400757 0.220385 +0.239054 0.052529 0.473485 0.624165 0.222947 -0.748807 0.408095 0.205521 +0.220789 -0.000566 0.442452 0.624165 0.222947 -0.748807 0.367903 0.207911 +0.242179 -0.000566 0.466927 0.747097 0.124618 -0.652929 0.378148 0.187038 +0.220789 -0.000566 0.442452 0.747097 0.124618 -0.652929 0.367903 0.207911 +0.239054 0.052529 0.473485 0.747097 0.124618 -0.652929 0.408095 0.205521 +0.087118 0.767209 0.775469 -0.842945 -0.132316 0.521475 0.626709 0.312613 +0.037486 0.731377 0.686149 -0.842945 -0.132316 0.521475 0.622900 0.371391 +0.088868 0.732977 0.769612 -0.842945 -0.132316 0.521475 0.647638 0.321305 +0.051595 0.703427 0.678974 -0.737494 -0.491252 0.463438 0.646326 0.366248 +0.088868 0.732977 0.769612 -0.737494 -0.491252 0.463438 0.647638 0.321305 +0.037486 0.731377 0.686149 -0.737494 -0.491252 0.463438 0.622900 0.371391 +0.088868 0.732977 0.769612 -0.864920 -0.247805 0.436470 0.647638 0.321305 +0.051595 0.703427 0.678974 -0.864920 -0.247805 0.436470 0.646326 0.366248 +0.098672 0.649914 0.741881 -0.864920 -0.247805 0.436470 0.701201 0.337032 +0.068726 0.647439 0.667268 -0.868465 -0.340972 0.359870 0.687688 0.366690 +0.098672 0.649914 0.741881 -0.868465 -0.340972 0.359870 0.701201 0.337032 +0.051595 0.703427 0.678974 -0.868465 -0.340972 0.359870 0.646326 0.366248 +0.133645 0.483091 0.691215 -0.881932 -0.317479 0.348429 0.816415 0.353864 +0.116559 0.489535 0.653839 -0.881932 -0.317479 0.348429 0.804102 0.368402 +0.161989 0.401702 0.688799 -0.881932 -0.317479 0.348429 0.878262 0.351184 +0.141864 0.398320 0.649581 -0.850531 -0.257366 0.458650 0.870187 0.371637 +0.161989 0.401702 0.688799 -0.850531 -0.257366 0.458650 0.878262 0.351184 +0.116559 0.489535 0.653839 -0.850531 -0.257366 0.458650 0.804102 0.368402 +0.162211 0.329839 0.681141 -0.849252 -0.058541 0.524733 0.432081 0.293495 +0.161989 0.401702 0.688799 -0.849252 -0.058541 0.524733 0.476664 0.309620 +0.142688 0.328296 0.649372 -0.849252 -0.058541 0.524733 0.424006 0.313147 +0.141864 0.398320 0.649581 -0.889219 -0.011829 0.457329 0.467226 0.329481 +0.142688 0.328296 0.649372 -0.889219 -0.011829 0.457329 0.424006 0.313147 +0.161989 0.401702 0.688799 -0.889219 -0.011829 0.457329 0.476664 0.309620 +0.162211 0.329839 0.681141 -0.830738 -0.198306 0.520144 0.535517 0.361115 +0.142688 0.328296 0.649372 -0.830738 -0.198306 0.520144 0.525253 0.379717 +0.166089 0.155459 0.620852 -0.830738 -0.198306 0.520144 0.434104 0.306641 +0.169900 0.162331 0.585220 -0.985495 -0.112458 -0.127092 0.439999 0.304920 +0.166089 0.155459 0.620852 -0.985495 -0.112458 -0.127092 0.434104 0.306641 +0.142688 0.328296 0.649372 -0.985495 -0.112458 -0.127092 0.525253 0.379717 +0.163027 0.111351 0.600441 -0.972403 0.191704 -0.132972 0.406516 0.296807 +0.168712 0.116333 0.566050 -0.972403 0.191704 -0.132972 0.412189 0.292708 +0.159072 0.082848 0.588271 -0.972403 0.191704 -0.132972 0.387742 0.292381 +0.164135 0.084703 0.553976 -0.972402 0.191555 -0.133195 0.391265 0.287980 +0.159072 0.082848 0.588271 -0.972402 0.191555 -0.133195 0.387742 0.292381 +0.168712 0.116333 0.566050 -0.972402 0.191555 -0.133195 0.412189 0.292708 +0.159072 0.082848 0.588271 -0.971830 0.194606 -0.132946 0.410336 0.360520 +0.164135 0.084703 0.553976 -0.971830 0.194606 -0.132946 0.415971 0.360662 +0.155436 0.044730 0.559053 -0.971830 0.194606 -0.132946 0.401620 0.336603 +0.154307 0.045954 0.520563 -0.975567 0.216815 0.035510 0.400571 0.337632 +0.155436 0.044730 0.559053 -0.975567 0.216815 0.035510 0.401620 0.336603 +0.164135 0.084703 0.553976 -0.975567 0.216815 0.035510 0.415971 0.360662 +0.155436 0.044730 0.559053 -0.998869 0.036521 0.030461 0.401620 0.336603 +0.154307 0.045954 0.520563 -0.998869 0.036521 0.030461 0.400571 0.337632 +0.153742 -0.000566 0.557811 -0.998869 0.036521 0.030461 0.394064 0.307633 +0.146152 -0.000566 0.501367 -0.984166 0.117916 0.132340 0.385969 0.309220 +0.153742 -0.000566 0.557811 -0.984166 0.117916 0.132340 0.394064 0.307633 +0.154307 0.045954 0.520563 -0.984166 0.117916 0.132340 0.400571 0.337632 +0.306784 0.041477 0.584437 0.989826 -0.025053 0.140059 0.433990 0.136217 +0.307234 -0.000390 0.573768 0.989826 -0.025053 0.140059 0.409411 0.123609 +0.312485 0.044161 0.544627 0.989826 -0.025053 0.140059 0.438311 0.131435 +0.323680 -0.000566 0.530277 0.928766 0.119942 0.350725 0.417185 0.107509 +0.312485 0.044161 0.544627 0.928766 0.119942 0.350725 0.438311 0.131435 +0.307234 -0.000390 0.573768 0.928766 0.119942 0.350725 0.409411 0.123609 +0.286405 0.079691 0.610778 0.909154 0.396031 0.128838 0.446860 0.167211 +0.306784 0.041477 0.584437 0.909154 0.396031 0.128838 0.433990 0.136217 +0.291826 0.081698 0.566355 0.909154 0.396031 0.128838 0.450645 0.162505 +0.312485 0.044161 0.544627 0.900741 0.405255 0.156313 0.438311 0.131435 +0.291826 0.081698 0.566355 0.900741 0.405255 0.156313 0.450645 0.162505 +0.306784 0.041477 0.584437 0.900741 0.405255 0.156313 0.433990 0.136217 +0.277154 0.111693 0.615199 0.950684 0.249334 0.184479 0.461381 0.185541 +0.286405 0.079691 0.610778 0.950684 0.249334 0.184479 0.446860 0.167211 +0.284402 0.112761 0.576404 0.950684 0.249334 0.184479 0.465486 0.178779 +0.291826 0.081698 0.566355 0.973212 0.191379 0.127409 0.450645 0.162505 +0.284402 0.112761 0.576404 0.973212 0.191379 0.127409 0.465486 0.178779 +0.286405 0.079691 0.610778 0.973212 0.191379 0.127409 0.446860 0.167211 +0.246793 0.328611 0.681763 0.907333 -0.019518 0.419960 0.575301 0.278223 +0.268234 0.156155 0.627424 0.907333 -0.019518 0.419960 0.483440 0.207170 +0.261987 0.326739 0.648849 0.907333 -0.019518 0.419960 0.581471 0.262852 +0.277107 0.159115 0.594368 0.965745 0.002777 0.259477 0.489443 0.199372 +0.261987 0.326739 0.648849 0.965745 0.002777 0.259477 0.581471 0.262852 +0.268234 0.156155 0.627424 0.965745 0.002777 0.259477 0.483440 0.207170 +0.246793 0.328611 0.681763 0.907822 -0.004498 0.419331 0.575301 0.278223 +0.261987 0.326739 0.648849 0.907822 -0.004498 0.419331 0.581471 0.262852 +0.247846 0.398317 0.680231 0.907822 -0.004498 0.419331 0.617087 0.297458 +0.260287 0.394408 0.642322 0.950404 0.053430 0.306394 0.620731 0.284181 +0.247846 0.398317 0.680231 0.950404 0.053430 0.306394 0.617087 0.297458 +0.261987 0.326739 0.648849 0.950404 0.053430 0.306394 0.581471 0.262852 +0.247846 0.398317 0.680231 0.929937 -0.175270 0.323260 0.534481 0.411063 +0.260287 0.394408 0.642322 0.929937 -0.175270 0.323260 0.545442 0.419395 +0.265205 0.482234 0.675793 0.929937 -0.175270 0.323260 0.576032 0.369899 +0.290254 0.489197 0.638584 0.825408 -0.240813 0.510599 0.602456 0.377912 +0.265205 0.482234 0.675793 0.825408 -0.240813 0.510599 0.576032 0.369899 +0.260287 0.394408 0.642322 0.825408 -0.240813 0.510599 0.545442 0.419395 +0.310846 0.685292 0.688865 0.890389 -0.180620 0.417832 0.488635 0.378719 +0.346101 0.684474 0.613384 0.890389 -0.180620 0.417832 0.526704 0.374280 +0.362855 0.934781 0.685884 0.890389 -0.180620 0.417832 0.561637 0.536697 +0.388560 0.906970 0.573610 0.957576 -0.137457 0.253285 0.587564 0.515599 +0.362855 0.934781 0.685884 0.957576 -0.137457 0.253285 0.561637 0.536697 +0.346101 0.684474 0.613384 0.957576 -0.137457 0.253285 0.526704 0.374280 +0.362855 0.934781 0.685884 0.973415 0.125079 0.191880 0.561637 0.536697 +0.388560 0.906970 0.573610 0.973415 0.125079 0.191880 0.587564 0.515599 +0.343043 1.105304 0.675234 0.973415 0.125079 0.191880 0.551668 0.650801 +0.341636 1.091500 0.537693 0.970157 0.240079 -0.034019 0.549219 0.641897 +0.343043 1.105304 0.675234 0.970157 0.240079 -0.034019 0.551668 0.650801 +0.388560 0.906970 0.573610 0.970157 0.240079 -0.034019 0.587564 0.515599 +0.263180 0.550893 0.713418 0.756231 -0.220423 0.616059 0.514452 0.233339 +0.249918 0.477302 0.703367 0.756231 -0.220423 0.616059 0.479923 0.270388 +0.290660 0.558843 0.682530 0.756231 -0.220423 0.616059 0.543533 0.241946 +0.265205 0.482234 0.675793 0.851818 -0.319538 0.415093 0.496251 0.274875 +0.290660 0.558843 0.682530 0.851818 -0.319538 0.415093 0.543533 0.241946 +0.249918 0.477302 0.703367 0.851818 -0.319538 0.415093 0.479923 0.270388 +0.172011 0.542599 0.723263 -0.169371 -0.114678 0.978858 0.503064 0.289128 +0.172382 0.474482 0.715347 -0.169371 -0.114678 0.978858 0.483413 0.329543 +0.220027 0.542794 0.731594 -0.169371 -0.114678 0.978858 0.549854 0.312257 +0.207105 0.466516 0.724098 -0.255182 -0.051653 0.965512 0.514867 0.351057 +0.220027 0.542794 0.731594 -0.255182 -0.051653 0.965512 0.549854 0.312257 +0.172382 0.474482 0.715347 -0.255182 -0.051653 0.965512 0.483413 0.329543 +0.112848 0.556160 0.705254 -0.336390 -0.269134 0.902446 0.449467 0.252477 +0.133645 0.483091 0.691215 -0.336390 -0.269134 0.902446 0.448240 0.305705 +0.172011 0.542599 0.723263 -0.336390 -0.269134 0.902446 0.503064 0.289128 +0.172382 0.474482 0.715347 -0.542017 -0.099920 0.834406 0.483413 0.329543 +0.172011 0.542599 0.723263 -0.542017 -0.099920 0.834406 0.503064 0.289128 +0.133645 0.483091 0.691215 -0.542017 -0.099920 0.834406 0.448240 0.305705 +0.132622 0.555258 0.539817 -0.878878 -0.293567 -0.376021 0.773623 0.332964 +0.147059 0.487339 0.559099 -0.878878 -0.293567 -0.376021 0.820629 0.339626 +0.104151 0.560450 0.602309 -0.878878 -0.293567 -0.376021 0.756354 0.358875 +0.121016 0.489468 0.612952 -0.871293 -0.268600 -0.410734 0.806368 0.364120 +0.104151 0.560450 0.602309 -0.871293 -0.268600 -0.410734 0.756354 0.358875 +0.147059 0.487339 0.559099 -0.871293 -0.268600 -0.410734 0.820629 0.339626 +0.266554 0.555996 0.508384 0.382278 -0.429339 -0.818249 0.599016 0.326982 +0.257957 0.489777 0.539113 0.382278 -0.429339 -0.818249 0.571193 0.361934 +0.200296 0.533589 0.489186 0.382278 -0.429339 -0.818249 0.527946 0.308142 +0.204691 0.474041 0.525197 0.349932 -0.465711 -0.812810 0.514728 0.345444 +0.200296 0.533589 0.489186 0.349932 -0.465711 -0.812810 0.527946 0.308142 +0.257957 0.489777 0.539113 0.349932 -0.465711 -0.812810 0.571193 0.361934 +0.318289 0.566455 0.563922 0.714862 -0.363269 -0.597501 0.572660 0.250825 +0.298894 0.492080 0.585936 0.714862 -0.363269 -0.597501 0.531932 0.285368 +0.266554 0.555996 0.508384 0.714862 -0.363269 -0.597501 0.519235 0.231958 +0.257957 0.489777 0.539113 0.708140 -0.370777 -0.600884 0.491412 0.266910 +0.266554 0.555996 0.508384 0.708140 -0.370777 -0.600884 0.519235 0.231958 +0.298894 0.492080 0.585936 0.708140 -0.370777 -0.600884 0.531932 0.285368 +0.290660 0.558843 0.682530 0.881893 -0.323211 0.343219 0.543533 0.241946 +0.265205 0.482234 0.675793 0.881893 -0.323211 0.343219 0.496251 0.274875 +0.311358 0.562152 0.632463 0.881893 -0.323211 0.343219 0.564649 0.250011 +0.290254 0.489197 0.638584 0.830025 -0.196305 0.522036 0.522675 0.282888 +0.311358 0.562152 0.632463 0.830025 -0.196305 0.522036 0.564649 0.250011 +0.265205 0.482234 0.675793 0.830025 -0.196305 0.522036 0.496251 0.274875 +0.220027 0.542794 0.731594 0.408290 -0.157529 0.899157 0.549854 0.312257 +0.207105 0.466516 0.724098 0.408290 -0.157529 0.899157 0.514867 0.351057 +0.263180 0.550893 0.713418 0.408290 -0.157529 0.899157 0.594233 0.328363 +0.249918 0.477302 0.703367 0.467569 -0.201804 0.860613 0.559704 0.365412 +0.263180 0.550893 0.713418 0.467569 -0.201804 0.860613 0.594233 0.328363 +0.207105 0.466516 0.724098 0.467569 -0.201804 0.860613 0.514867 0.351057 +0.104151 0.560450 0.602309 -0.957084 -0.249505 -0.147438 0.756354 0.358875 +0.121016 0.489468 0.612952 -0.957084 -0.249505 -0.147438 0.806368 0.364120 +0.095284 0.561410 0.658244 -0.957084 -0.249505 -0.147438 0.751361 0.367142 +0.116559 0.489535 0.653839 -0.955418 -0.276448 -0.103695 0.804102 0.368402 +0.095284 0.561410 0.658244 -0.955418 -0.276448 -0.103695 0.751361 0.367142 +0.121016 0.489468 0.612952 -0.955418 -0.276448 -0.103695 0.806368 0.364120 +0.200296 0.533589 0.489186 -0.624292 -0.437469 -0.647209 0.527946 0.308142 +0.204691 0.474041 0.525197 -0.624292 -0.437469 -0.647209 0.514728 0.345444 +0.132622 0.555258 0.539817 -0.624292 -0.437469 -0.647209 0.468447 0.262582 +0.147059 0.487339 0.559099 -0.533978 -0.334014 -0.776725 0.462544 0.309689 +0.132622 0.555258 0.539817 -0.533978 -0.334014 -0.776725 0.468447 0.262582 +0.204691 0.474041 0.525197 -0.533978 -0.334014 -0.776725 0.514728 0.345444 +0.095284 0.561410 0.658244 -0.907319 -0.287375 0.306901 0.751361 0.367142 +0.116559 0.489535 0.653839 -0.907319 -0.287375 0.306901 0.804102 0.368402 +0.112848 0.556160 0.705254 -0.907319 -0.287375 0.306901 0.763213 0.351780 +0.133645 0.483091 0.691215 -0.881826 -0.317908 0.348306 0.816415 0.353864 +0.112848 0.556160 0.705254 -0.881826 -0.317908 0.348306 0.763213 0.351780 +0.116559 0.489535 0.653839 -0.881826 -0.317908 0.348306 0.804102 0.368402 +0.311358 0.562152 0.632463 0.959308 -0.270790 0.080007 0.564649 0.250011 +0.290254 0.489197 0.638584 0.959308 -0.270790 0.080007 0.522675 0.282888 +0.318289 0.566455 0.563922 0.959308 -0.270790 0.080007 0.572660 0.250825 +0.298894 0.492080 0.585936 0.966863 -0.208548 0.147250 0.531932 0.285368 +0.318289 0.566455 0.563922 0.966863 -0.208548 0.147250 0.572660 0.250825 +0.290254 0.489197 0.638584 0.966863 -0.208548 0.147250 0.522675 0.282888 +0.269638 -0.000566 0.446302 0.001711 -0.999996 0.002278 0.517692 0.283399 +0.320365 -0.000390 0.485449 0.001711 -0.999996 0.002278 0.571825 0.272906 +0.242179 -0.000566 0.466927 0.001711 -0.999996 0.002278 0.488401 0.289141 +0.220789 -0.000566 0.442452 0.000000 -1.000000 0.000000 0.465584 0.293613 +0.242179 -0.000566 0.466927 0.000000 -1.000000 0.000000 0.488401 0.289141 +0.167233 -0.000566 0.459170 0.000000 -1.000000 0.000000 0.408456 0.304812 +0.146152 -0.000566 0.501367 0.000000 -1.000000 0.000000 0.385969 0.309220 +0.153742 -0.000566 0.557811 0.000000 -1.000000 0.000000 0.394064 0.307633 +0.187262 -0.000566 0.606974 0.000000 -1.000000 0.000000 0.429820 0.300624 +0.222234 -0.000566 0.612449 0.000000 -1.000000 0.000000 0.467126 0.293311 +0.254878 -0.000566 0.617560 0.000530 -0.999994 -0.003385 0.501948 0.286485 +0.222234 -0.000566 0.612449 0.000530 -0.999994 -0.003385 0.467126 0.293311 +0.307234 -0.000390 0.573768 0.000530 -0.999994 -0.003385 0.557818 0.275652 +0.222234 -0.000566 0.612449 0.001318 -0.999998 -0.001653 0.467126 0.293311 +0.153742 -0.000566 0.557811 0.001318 -0.999998 -0.001653 0.394064 0.307633 +0.307234 -0.000390 0.573768 0.001318 -0.999998 -0.001653 0.557818 0.275652 +0.153742 -0.000566 0.557811 0.001041 -0.999999 0.001013 0.394064 0.307633 +0.242179 -0.000566 0.466927 0.001041 -0.999999 0.001013 0.488401 0.289141 +0.307234 -0.000390 0.573768 0.001041 -0.999999 0.001013 0.557818 0.275652 +0.242179 -0.000566 0.466927 0.002174 -0.999998 0.000323 0.488401 0.289141 +0.320365 -0.000390 0.485449 0.002174 -0.999998 0.000323 0.571825 0.272906 +0.307234 -0.000390 0.573768 0.002174 -0.999998 0.000323 0.557818 0.275652 +0.307234 -0.000390 0.573768 -0.017633 -0.999841 -0.002622 0.557818 0.275652 +0.320365 -0.000390 0.485449 -0.017633 -0.999841 -0.002622 0.571825 0.272906 +0.323680 -0.000566 0.530277 -0.017633 -0.999841 -0.002622 0.575340 0.272099 +0.282348 0.119478 0.545361 0.991695 0.122525 -0.039105 0.372183 0.260977 +0.277643 0.163536 0.564086 0.991695 0.122525 -0.039105 0.396022 0.278375 +0.284402 0.112761 0.576404 0.991695 0.122525 -0.039105 0.369189 0.257020 +0.277107 0.159115 0.594368 0.989287 0.140930 0.038086 0.393147 0.277613 +0.284402 0.112761 0.576404 0.989287 0.140930 0.038086 0.369189 0.257020 +0.277643 0.163536 0.564086 0.989287 0.140930 0.038086 0.396022 0.278375 +0.232840 0.096986 0.663758 0.454347 0.072370 0.887880 0.431447 0.224508 +0.231067 0.153241 0.660080 0.454347 0.072370 0.887880 0.463913 0.242590 +0.208967 0.095824 0.676069 0.454347 0.072370 0.887880 0.419325 0.247465 +0.209338 0.151392 0.666894 0.283652 0.154373 0.946420 0.452410 0.263256 +0.208967 0.095824 0.676069 0.283652 0.154373 0.946420 0.419325 0.247465 +0.231067 0.153241 0.660080 0.283652 0.154373 0.946420 0.463913 0.242590 +0.190077 0.095630 0.655760 -0.892012 0.047071 0.449555 0.410162 0.265842 +0.191454 0.149048 0.652899 -0.892012 0.047071 0.449555 0.442456 0.280027 +0.163027 0.111351 0.600441 -0.892012 0.047071 0.449555 0.406516 0.296807 +0.166089 0.155459 0.620852 -0.786356 -0.213647 0.579655 0.434104 0.306641 +0.163027 0.111351 0.600441 -0.786356 -0.213647 0.579655 0.406516 0.296807 +0.191454 0.149048 0.652899 -0.786356 -0.213647 0.579655 0.442456 0.280027 +0.163027 0.111351 0.600441 -0.980642 0.134101 -0.142679 0.406516 0.296807 +0.166089 0.155459 0.620852 -0.980642 0.134101 -0.142679 0.434104 0.306641 +0.168712 0.116333 0.566050 -0.980642 0.134101 -0.142679 0.412189 0.292708 +0.169900 0.162331 0.585220 -0.993487 0.064739 -0.093772 0.439999 0.304920 +0.168712 0.116333 0.566050 -0.993487 0.064739 -0.093772 0.412189 0.292708 +0.166089 0.155459 0.620852 -0.993487 0.064739 -0.093772 0.434104 0.306641 +0.214153 0.127241 0.515186 0.163673 0.413838 -0.895516 0.440414 0.251538 +0.210195 0.169644 0.534058 0.163673 0.413838 -0.895516 0.463630 0.267726 +0.232231 0.128260 0.518961 0.163673 0.413838 -0.895516 0.449676 0.234193 +0.229663 0.171279 0.536460 0.081804 0.379716 -0.921479 0.473923 0.249204 +0.232231 0.128260 0.518961 0.081804 0.379716 -0.921479 0.449676 0.234193 +0.210195 0.169644 0.534058 0.081804 0.379716 -0.921479 0.463630 0.267726 +0.251436 0.128080 0.524118 0.594576 0.354666 -0.721590 0.394042 0.341163 +0.249859 0.169297 0.543077 0.594576 0.354666 -0.721590 0.397591 0.368176 +0.282348 0.119478 0.545361 0.594576 0.354666 -0.721590 0.425925 0.329130 +0.277643 0.163536 0.564086 0.608546 0.364544 -0.704825 0.426497 0.358637 +0.282348 0.119478 0.545361 0.608546 0.364544 -0.704825 0.425925 0.329130 +0.249859 0.169297 0.543077 0.608546 0.364544 -0.704825 0.397591 0.368176 +0.277154 0.111693 0.615199 0.743398 -0.034516 0.667958 0.419397 0.325176 +0.268234 0.156155 0.627424 0.743398 -0.034516 0.667958 0.415523 0.355826 +0.232840 0.096986 0.663758 0.743398 -0.034516 0.667958 0.370259 0.324922 +0.231067 0.153241 0.660080 0.655341 0.069827 0.752099 0.375507 0.361711 +0.232840 0.096986 0.663758 0.655341 0.069827 0.752099 0.370259 0.324922 +0.268234 0.156155 0.627424 0.655341 0.069827 0.752099 0.415523 0.355826 +0.208967 0.095824 0.676069 -0.727798 0.116448 0.675833 0.419325 0.247465 +0.209338 0.151392 0.666894 -0.727798 0.116448 0.675833 0.452410 0.263256 +0.190077 0.095630 0.655760 -0.727798 0.116448 0.675833 0.410162 0.265842 +0.191454 0.149048 0.652899 -0.619937 0.057890 0.782513 0.442456 0.280027 +0.190077 0.095630 0.655760 -0.619937 0.057890 0.782513 0.410162 0.265842 +0.209338 0.151392 0.666894 -0.619937 0.057890 0.782513 0.452410 0.263256 +0.182943 0.120103 0.532746 -0.518935 0.345566 -0.781851 0.421238 0.279918 +0.182677 0.164101 0.552369 -0.518935 0.345566 -0.781851 0.447167 0.292966 +0.214153 0.127241 0.515186 -0.518935 0.345566 -0.781851 0.440414 0.251538 +0.210195 0.169644 0.534058 -0.570008 0.289092 -0.769102 0.463630 0.267726 +0.214153 0.127241 0.515186 -0.570008 0.289092 -0.769102 0.440414 0.251538 +0.182677 0.164101 0.552369 -0.570008 0.289092 -0.769102 0.447167 0.292966 +0.232231 0.128260 0.518961 0.243409 0.377893 -0.893280 0.449676 0.234193 +0.229663 0.171279 0.536460 0.243409 0.377893 -0.893280 0.473923 0.249204 +0.251436 0.128080 0.524118 0.243409 0.377893 -0.893280 0.458768 0.215400 +0.249859 0.169297 0.543077 0.320277 0.405964 -0.855930 0.482422 0.228921 +0.251436 0.128080 0.524118 0.320277 0.405964 -0.855930 0.458768 0.215400 +0.229663 0.171279 0.536460 0.320277 0.405964 -0.855930 0.473923 0.249204 +0.168712 0.116333 0.566050 -0.912052 0.177598 -0.369621 0.412189 0.292708 +0.169900 0.162331 0.585220 -0.912052 0.177598 -0.369621 0.439999 0.304920 +0.182943 0.120103 0.532746 -0.912052 0.177598 -0.369621 0.421238 0.279918 +0.182677 0.164101 0.552369 -0.924016 0.151068 -0.351245 0.447167 0.292966 +0.182943 0.120103 0.532746 -0.924016 0.151068 -0.351245 0.421238 0.279918 +0.169900 0.162331 0.585220 -0.924016 0.151068 -0.351245 0.439999 0.304920 +0.284402 0.112761 0.576404 0.979243 0.082331 0.185217 0.427263 0.324353 +0.277107 0.159115 0.594368 0.979243 0.082331 0.185217 0.425364 0.355887 +0.277154 0.111693 0.615199 0.979243 0.082331 0.185217 0.419397 0.325176 +0.268234 0.156155 0.627424 0.956317 0.118363 0.267296 0.415523 0.355826 +0.277154 0.111693 0.615199 0.956317 0.118363 0.267296 0.419397 0.325176 +0.277107 0.159115 0.594368 0.956317 0.118363 0.267296 0.425364 0.355887 +0.275723 0.676234 0.755235 0.872659 -0.230887 0.430300 0.677959 0.236375 +0.263180 0.550893 0.713418 0.872659 -0.230887 0.430300 0.745124 0.286495 +0.310846 0.685292 0.688865 0.872659 -0.230887 0.430300 0.690203 0.199722 +0.290660 0.558843 0.682530 0.757551 -0.152730 0.634657 0.754198 0.257557 +0.310846 0.685292 0.688865 0.757551 -0.152730 0.634657 0.690203 0.199722 +0.263180 0.550893 0.713418 0.757551 -0.152730 0.634657 0.745124 0.286495 +0.174726 0.655484 0.772485 0.007857 -0.399839 0.916552 0.538872 0.223763 +0.172011 0.542599 0.723263 0.007857 -0.399839 0.916552 0.503064 0.289128 +0.228561 0.667726 0.777364 0.007857 -0.399839 0.916552 0.594864 0.242594 +0.220027 0.542794 0.731594 -0.160079 -0.329905 0.930343 0.549854 0.312257 +0.228561 0.667726 0.777364 -0.160079 -0.329905 0.930343 0.594864 0.242594 +0.172011 0.542599 0.723263 -0.160079 -0.329905 0.930343 0.503064 0.289128 +0.098672 0.649914 0.741881 -0.319832 -0.386341 0.865129 0.463215 0.190236 +0.112848 0.556160 0.705254 -0.319832 -0.386341 0.865129 0.449467 0.252477 +0.174726 0.655484 0.772485 -0.319832 -0.386341 0.865129 0.538872 0.223763 +0.172011 0.542599 0.723263 -0.346931 -0.367844 0.862745 0.503064 0.289128 +0.174726 0.655484 0.772485 -0.346931 -0.367844 0.862745 0.538872 0.223763 +0.112848 0.556160 0.705254 -0.346931 -0.367844 0.862745 0.449467 0.252477 +0.116679 0.650594 0.512235 -0.820442 -0.281218 -0.497786 0.709802 0.319442 +0.132622 0.555258 0.539817 -0.820442 -0.281218 -0.497786 0.773623 0.332964 +0.070740 0.644639 0.591315 -0.820442 -0.281218 -0.497786 0.690335 0.365595 +0.104151 0.560450 0.602309 -0.851687 -0.384497 -0.356078 0.756354 0.358875 +0.070740 0.644639 0.591315 -0.851687 -0.384497 -0.356078 0.690335 0.365595 +0.132622 0.555258 0.539817 -0.851687 -0.384497 -0.356078 0.773623 0.332964 +0.291123 0.647226 0.470982 0.316818 -0.431589 -0.844605 0.702649 0.230306 +0.266554 0.555996 0.508384 0.316818 -0.431589 -0.844605 0.743821 0.281690 +0.196093 0.612980 0.452835 0.316818 -0.431589 -0.844605 0.675226 0.332428 +0.200296 0.533589 0.489186 0.371833 -0.370114 -0.851326 0.723839 0.352448 +0.196093 0.612980 0.452835 0.371833 -0.370114 -0.851326 0.675226 0.332428 +0.266554 0.555996 0.508384 0.371833 -0.370114 -0.851326 0.743821 0.281690 +0.343117 0.669788 0.533016 0.777431 -0.344237 -0.526405 0.715412 0.173271 +0.318289 0.566455 0.563922 0.777431 -0.344237 -0.526405 0.763545 0.228576 +0.291123 0.647226 0.470982 0.777431 -0.344237 -0.526405 0.702649 0.230306 +0.266554 0.555996 0.508384 0.701162 -0.423877 -0.573324 0.743821 0.281690 +0.291123 0.647226 0.470982 0.701162 -0.423877 -0.573324 0.702649 0.230306 +0.318289 0.566455 0.563922 0.701162 -0.423877 -0.573324 0.763545 0.228576 +0.310846 0.685292 0.688865 0.893159 -0.163570 0.418941 0.690203 0.199722 +0.290660 0.558843 0.682530 0.893159 -0.163570 0.418941 0.754198 0.257557 +0.346101 0.684474 0.613384 0.893159 -0.163570 0.418941 0.708299 0.165936 +0.311358 0.562152 0.632463 0.909765 -0.201818 0.362764 0.762602 0.236573 +0.346101 0.684474 0.613384 0.909765 -0.201818 0.362764 0.708299 0.165936 +0.290660 0.558843 0.682530 0.909765 -0.201818 0.362764 0.754198 0.257557 +0.228561 0.667726 0.777364 0.449092 -0.334246 0.828611 0.659376 0.284483 +0.220027 0.542794 0.731594 0.449092 -0.334246 0.828611 0.728306 0.330609 +0.275723 0.676234 0.755235 0.449092 -0.334246 0.828611 0.677959 0.236375 +0.263180 0.550893 0.713418 0.418253 -0.324854 0.848253 0.745124 0.286495 +0.275723 0.676234 0.755235 0.418253 -0.324854 0.848253 0.677959 0.236375 +0.220027 0.542794 0.731594 0.418253 -0.324854 0.848253 0.728306 0.330609 +0.070740 0.644639 0.591315 -0.928932 -0.370088 -0.010989 0.690335 0.365595 +0.104151 0.560450 0.602309 -0.928932 -0.370088 -0.010989 0.756354 0.358875 +0.068726 0.647439 0.667268 -0.928932 -0.370088 -0.010989 0.687688 0.366690 +0.095284 0.561410 0.658244 -0.949508 -0.277834 -0.145751 0.751361 0.367142 +0.068726 0.647439 0.667268 -0.949508 -0.277834 -0.145751 0.687688 0.366690 +0.104151 0.560450 0.602309 -0.949508 -0.277834 -0.145751 0.756354 0.358875 +0.196093 0.612980 0.452835 -0.661276 -0.340951 -0.668182 0.547181 0.259213 +0.200296 0.533589 0.489186 -0.661276 -0.340951 -0.668182 0.527946 0.308142 +0.116679 0.650594 0.512235 -0.661276 -0.340951 -0.668182 0.480941 0.198551 +0.132622 0.555258 0.539817 -0.631186 -0.311111 -0.710503 0.468447 0.262582 +0.116679 0.650594 0.512235 -0.631186 -0.311111 -0.710503 0.480941 0.198551 +0.200296 0.533589 0.489186 -0.631186 -0.311111 -0.710503 0.527946 0.308142 +0.068726 0.647439 0.667268 -0.878912 -0.309407 0.363016 0.687688 0.366690 +0.095284 0.561410 0.658244 -0.878912 -0.309407 0.363016 0.751361 0.367142 +0.098672 0.649914 0.741881 -0.878912 -0.309407 0.363016 0.701201 0.337032 +0.112848 0.556160 0.705254 -0.913662 -0.260160 0.312310 0.763213 0.351780 +0.098672 0.649914 0.741881 -0.913662 -0.260160 0.312310 0.701201 0.337032 +0.095284 0.561410 0.658244 -0.913662 -0.260160 0.312310 0.751361 0.367142 +0.346101 0.684474 0.613384 0.962424 -0.271200 0.013824 0.708299 0.165936 +0.311358 0.562152 0.632463 0.962424 -0.271200 0.013824 0.762602 0.236573 +0.343117 0.669788 0.533016 0.962424 -0.271200 0.013824 0.715412 0.173271 +0.318289 0.566455 0.563922 0.974276 -0.208540 0.085429 0.763545 0.228576 +0.343117 0.669788 0.533016 0.974276 -0.208540 0.085429 0.715412 0.173271 +0.311358 0.562152 0.632463 0.974276 -0.208540 0.085429 0.762602 0.236573 +0.276877 1.223774 0.518284 0.848878 0.524397 -0.066441 0.320579 0.504774 +0.284059 1.231316 0.669572 0.848878 0.524397 -0.066441 0.317290 0.513427 +0.314782 1.163291 0.525202 0.848878 0.524397 -0.066441 0.368007 0.537029 +0.316567 1.177092 0.674269 0.858447 0.509673 -0.057466 0.359485 0.540775 +0.314782 1.163291 0.525202 0.858447 0.509673 -0.057466 0.368007 0.537029 +0.284059 1.231316 0.669572 0.858447 0.509673 -0.057466 0.317290 0.513427 +0.276877 1.223774 0.518284 0.846343 0.514753 -0.136869 0.320579 0.504774 +0.314782 1.163291 0.525202 0.846343 0.514753 -0.136869 0.368007 0.537029 +0.284178 1.157604 0.314571 0.846343 0.514753 -0.136869 0.364934 0.503692 +0.328173 1.060432 0.316278 0.902669 0.406190 -0.142122 0.437406 0.537522 +0.284178 1.157604 0.314571 0.902669 0.406190 -0.142122 0.364934 0.503692 +0.314782 1.163291 0.525202 0.902669 0.406190 -0.142122 0.368007 0.537029 +0.332474 1.013368 0.404321 0.966075 0.244407 0.083456 0.534063 0.591635 +0.360061 0.937631 0.306779 0.966075 0.244407 0.083456 0.558806 0.538877 +0.328173 1.060432 0.316278 0.966075 0.244407 0.083456 0.532574 0.622998 +0.234621 1.231194 0.787648 0.815204 0.467560 0.341806 0.306471 0.460787 +0.279601 1.158522 0.779780 0.815204 0.467560 0.341806 0.363333 0.498943 +0.284059 1.231316 0.669572 0.815204 0.467560 0.341806 0.317290 0.513427 +0.316567 1.177092 0.674269 0.784850 0.502000 0.363326 0.359485 0.540775 +0.284059 1.231316 0.669572 0.784850 0.502000 0.363326 0.317290 0.513427 +0.279601 1.158522 0.779780 0.784850 0.502000 0.363326 0.363333 0.498943 +0.279601 1.158522 0.779780 0.594729 0.286792 0.751032 0.187068 0.522655 +0.234621 1.231194 0.787648 0.594729 0.286792 0.751032 0.179164 0.454636 +0.203523 1.130556 0.850704 0.594729 0.286792 0.751032 0.252340 0.468630 +0.115223 1.200244 0.870956 0.469204 0.360202 0.806289 0.274859 0.364614 +0.203523 1.130556 0.850704 0.469204 0.360202 0.806289 0.252340 0.468630 +0.234621 1.231194 0.787648 0.469204 0.360202 0.806289 0.179164 0.454636 +0.332474 1.013368 0.404321 0.872313 -0.234695 0.428939 0.534063 0.591635 +0.303637 0.823789 0.359237 0.872313 -0.234695 0.428939 0.490144 0.470410 +0.360061 0.937631 0.306779 0.872313 -0.234695 0.428939 0.558806 0.538877 +0.337829 0.803507 0.315369 0.766073 -0.086188 0.636949 0.525755 0.453314 +0.360061 0.937631 0.306779 0.766073 -0.086188 0.636949 0.558806 0.538877 +0.303637 0.823789 0.359237 0.766073 -0.086188 0.636949 0.490144 0.470410 +0.115223 1.200244 0.870956 0.294909 0.097435 0.950545 0.324440 0.473184 +0.055367 1.060557 0.903845 0.294909 0.097435 0.950545 0.240920 0.397355 +0.203523 1.130556 0.850704 0.294909 0.097435 0.950545 0.408152 0.407468 +0.112552 1.004645 0.899531 0.252960 0.185456 0.949535 0.293591 0.347854 +0.203523 1.130556 0.850704 0.252960 0.185456 0.949535 0.408152 0.407468 +0.055367 1.060557 0.903845 0.252960 0.185456 0.949535 0.240920 0.397355 +0.055367 1.060557 0.903845 -0.308741 -0.382947 0.870649 0.522968 0.431453 +0.020074 0.859710 0.802989 -0.308741 -0.382947 0.870649 0.618105 0.331568 +0.112552 1.004645 0.899531 -0.308741 -0.382947 0.870649 0.586144 0.466572 +0.059104 0.828836 0.807325 -0.366793 -0.342197 0.865080 0.657071 0.357958 +0.112552 1.004645 0.899531 -0.366793 -0.342197 0.865080 0.586144 0.466572 +0.020074 0.859710 0.802989 -0.366793 -0.342197 0.865080 0.618105 0.331568 +0.020074 0.859710 0.802989 -0.545063 -0.607978 0.577294 0.618105 0.331568 +0.008274 0.762612 0.689589 -0.545063 -0.607978 0.577294 0.666980 0.288220 +0.059104 0.828836 0.807325 -0.545063 -0.607978 0.577294 0.657071 0.357958 +0.025789 0.748559 0.687817 -0.474213 -0.663945 0.578186 0.684579 0.299997 +0.059104 0.828836 0.807325 -0.474213 -0.663945 0.578186 0.657071 0.357958 +0.008274 0.762612 0.689589 -0.474213 -0.663945 0.578186 0.666980 0.288220 +0.008274 0.762612 0.689589 -0.584561 -0.763267 0.275160 0.590003 0.390118 +0.009831 0.722762 0.582357 -0.584561 -0.763267 0.275160 0.614128 0.400701 +0.025789 0.748559 0.687817 -0.584561 -0.763267 0.275160 0.606989 0.377473 +0.022530 0.720376 0.582900 -0.189030 -0.946865 0.260220 0.621872 0.389166 +0.025789 0.748559 0.687817 -0.189030 -0.946865 0.260220 0.606989 0.377473 +0.009831 0.722762 0.582357 -0.189030 -0.946865 0.260220 0.614128 0.400701 +0.009831 0.722762 0.582357 -0.188348 -0.931931 0.309886 0.614128 0.400701 +0.042466 0.676207 0.462186 -0.188348 -0.931931 0.309886 0.657711 0.383315 +0.022530 0.720376 0.582900 -0.188348 -0.931931 0.309886 0.621872 0.389166 +0.073671 0.696580 0.464847 0.485556 -0.792046 0.369998 0.661368 0.347014 +0.022530 0.720376 0.582900 0.485556 -0.792046 0.369998 0.621872 0.389166 +0.042466 0.676207 0.462186 0.485556 -0.792046 0.369998 0.657711 0.383315 +0.073671 0.696580 0.464847 0.465885 -0.770430 0.435188 0.661368 0.347014 +0.042466 0.676207 0.462186 0.465885 -0.770430 0.435188 0.657711 0.383315 +0.193934 0.718043 0.374098 0.465885 -0.770430 0.435188 0.708890 0.224409 +0.219224 0.687039 0.341114 0.541325 -0.364518 0.757690 0.739692 0.209398 +0.193934 0.718043 0.374098 0.541325 -0.364518 0.757690 0.708890 0.224409 +0.042466 0.676207 0.462186 0.541325 -0.364518 0.757690 0.657711 0.383315 +0.303637 0.823789 0.359237 0.562825 -0.490374 0.665403 0.605460 0.164679 +0.193934 0.718043 0.374098 0.562825 -0.490374 0.665403 0.612593 0.302650 +0.337829 0.803507 0.315369 0.562825 -0.490374 0.665403 0.634428 0.137823 +0.219224 0.687039 0.341114 0.532143 -0.374006 0.759568 0.643396 0.287639 +0.337829 0.803507 0.315369 0.532143 -0.374006 0.759568 0.634428 0.137823 +0.193934 0.718043 0.374098 0.532143 -0.374006 0.759568 0.612593 0.302650 +0.172004 0.926179 0.879637 0.374912 0.049352 0.925746 0.332727 0.392795 +0.251929 1.034970 0.841469 0.374912 0.049352 0.925746 0.427828 0.453251 +0.112552 1.004645 0.899531 0.374912 0.049352 0.925746 0.275012 0.452166 +0.203523 1.130556 0.850704 0.365040 0.095387 0.926092 0.383426 0.522342 +0.112552 1.004645 0.899531 0.365040 0.095387 0.926092 0.275012 0.452166 +0.251929 1.034970 0.841469 0.365040 0.095387 0.926092 0.427828 0.453251 +0.087118 0.767209 0.775469 -0.120160 -0.498427 0.858564 0.591174 0.331685 +0.172004 0.926179 0.879637 -0.120160 -0.498427 0.858564 0.547057 0.464224 +0.059104 0.828836 0.807325 -0.120160 -0.498427 0.858564 0.657071 0.357958 +0.112552 1.004645 0.899531 -0.226905 -0.397358 0.889169 0.586144 0.466572 +0.059104 0.828836 0.807325 -0.226905 -0.397358 0.889169 0.657071 0.357958 +0.172004 0.926179 0.879637 -0.226905 -0.397358 0.889169 0.547057 0.464224 +0.037486 0.731377 0.686149 -0.655391 -0.501037 0.565176 0.622900 0.371391 +0.087118 0.767209 0.775469 -0.655391 -0.501037 0.565176 0.626709 0.312613 +0.025789 0.748559 0.687817 -0.655391 -0.501037 0.565176 0.606989 0.377473 +0.059104 0.828836 0.807325 -0.615244 -0.564255 0.550537 0.576604 0.320967 +0.025789 0.748559 0.687817 -0.615244 -0.564255 0.550537 0.606989 0.377473 +0.087118 0.767209 0.775469 -0.615244 -0.564255 0.550537 0.626709 0.312613 +0.030152 0.713972 0.581907 -0.620575 -0.765180 0.171421 0.629432 0.383750 +0.037486 0.731377 0.686149 -0.620575 -0.765180 0.171421 0.622900 0.371391 +0.022530 0.720376 0.582900 -0.620575 -0.765180 0.171421 0.621872 0.389166 +0.025789 0.748559 0.687817 -0.805512 -0.565546 0.176939 0.606989 0.377473 +0.022530 0.720376 0.582900 -0.805512 -0.565546 0.176939 0.621872 0.389166 +0.037486 0.731377 0.686149 -0.805512 -0.565546 0.176939 0.622900 0.371391 +0.091849 0.699313 0.479491 0.023299 -0.987579 0.155389 0.668851 0.328636 +0.030152 0.713972 0.581907 0.023299 -0.987579 0.155389 0.629432 0.383750 +0.073671 0.696580 0.464847 0.023299 -0.987579 0.155389 0.661368 0.347014 +0.022530 0.720376 0.582900 -0.647705 -0.750850 -0.129239 0.621872 0.389166 +0.073671 0.696580 0.464847 -0.647705 -0.750850 -0.129239 0.661368 0.347014 +0.030152 0.713972 0.581907 -0.647705 -0.750850 -0.129239 0.629432 0.383750 +0.091849 0.699313 0.479491 0.130025 -0.991230 0.023588 0.668851 0.328636 +0.073671 0.696580 0.464847 0.130025 -0.991230 0.023588 0.661368 0.347014 +0.194984 0.710710 0.389910 0.130025 -0.991230 0.023588 0.713711 0.225619 +0.193934 0.718043 0.374098 -0.147135 -0.901009 -0.408085 0.708890 0.224409 +0.194984 0.710710 0.389910 -0.147135 -0.901009 -0.408085 0.713711 0.225619 +0.073671 0.696580 0.464847 -0.147135 -0.901009 -0.408085 0.661368 0.347014 +0.316694 0.826608 0.395121 0.681039 -0.706545 -0.192302 0.610332 0.151220 +0.194984 0.710710 0.389910 0.681039 -0.706545 -0.192302 0.617414 0.303860 +0.303637 0.823789 0.359237 0.681039 -0.706545 -0.192302 0.605460 0.164679 +0.193934 0.718043 0.374098 0.620551 -0.694850 -0.363455 0.612593 0.302650 +0.303637 0.823789 0.359237 0.620551 -0.694850 -0.363455 0.605460 0.164679 +0.194984 0.710710 0.389910 0.620551 -0.694850 -0.363455 0.617414 0.303860 +0.346506 0.970240 0.444275 0.920367 -0.058720 -0.386621 0.546340 0.561778 +0.316694 0.826608 0.395121 0.920367 -0.058720 -0.386621 0.504452 0.470815 +0.332474 1.013368 0.404321 0.920367 -0.058720 -0.386621 0.534063 0.591635 +0.303637 0.823789 0.359237 0.939445 -0.062781 -0.336901 0.490144 0.470410 +0.332474 1.013368 0.404321 0.939445 -0.062781 -0.336901 0.534063 0.591635 +0.316694 0.826608 0.395121 0.939445 -0.062781 -0.336901 0.504452 0.470815 +0.346506 0.970240 0.444275 0.972649 0.165008 -0.163481 0.546340 0.561778 +0.332474 1.013368 0.404321 0.972649 0.165008 -0.163481 0.534063 0.591635 +0.341636 1.091500 0.537693 0.972649 0.165008 -0.163481 0.549219 0.641897 +0.343043 1.105304 0.675234 0.937500 0.345163 -0.044232 0.551668 0.650801 +0.341636 1.091500 0.537693 0.937500 0.345163 -0.044232 0.549219 0.641897 +0.316567 1.177092 0.674269 0.937500 0.345163 -0.044232 0.527861 0.700844 +0.314782 1.163291 0.525202 0.938185 0.343449 -0.043032 0.525004 0.691985 +0.316567 1.177092 0.674269 0.938185 0.343449 -0.043032 0.527861 0.700844 +0.341636 1.091500 0.537693 0.938185 0.343449 -0.043032 0.549219 0.641897 +0.343043 1.105304 0.675234 0.879853 0.329106 0.342854 0.411696 0.559353 +0.316567 1.177092 0.674269 0.879853 0.329106 0.342854 0.359485 0.540775 +0.315812 1.086902 0.762780 0.879853 0.329106 0.342854 0.417581 0.527906 +0.279601 1.158522 0.779780 0.863136 0.350000 0.364002 0.363333 0.498943 +0.315812 1.086902 0.762780 0.863136 0.350000 0.364002 0.417581 0.527906 +0.316567 1.177092 0.674269 0.863136 0.350000 0.364002 0.359485 0.540775 +0.315812 1.086902 0.762780 0.697746 0.188754 0.691030 0.200267 0.582718 +0.279601 1.158522 0.779780 0.697746 0.188754 0.691030 0.187068 0.522655 +0.251929 1.034970 0.841469 0.697746 0.188754 0.691030 0.269904 0.548859 +0.203523 1.130556 0.850704 0.613973 0.238219 0.752522 0.252340 0.468630 +0.251929 1.034970 0.841469 0.613973 0.238219 0.752522 0.269904 0.548859 +0.279601 1.158522 0.779780 0.613973 0.238219 0.752522 0.187068 0.522655 +0.341636 1.091500 0.537693 0.922056 0.302998 -0.240843 0.549219 0.641897 +0.332474 1.013368 0.404321 0.922056 0.302998 -0.240843 0.534063 0.591635 +0.314782 1.163291 0.525202 0.922056 0.302998 -0.240843 0.525004 0.691985 +0.328173 1.060432 0.316278 0.993957 0.109324 0.009884 0.532574 0.622998 +0.314782 1.163291 0.525202 0.993957 0.109324 0.009884 0.525004 0.691985 +0.332474 1.013368 0.404321 0.993957 0.109324 0.009884 0.534063 0.591635 +0.325592 0.241357 -0.544287 0.983084 0.021227 -0.181922 0.465075 0.254208 +0.321219 0.146115 -0.579031 0.983084 0.021227 -0.181922 0.406576 0.230789 +0.320785 0.245758 -0.569750 0.983084 0.021227 -0.181922 0.465378 0.260178 +0.318454 0.149689 -0.607310 0.995327 0.013244 -0.095645 0.407369 0.234526 +0.320785 0.245758 -0.569750 0.995327 0.013244 -0.095645 0.465378 0.260178 +0.321219 0.146115 -0.579031 0.995327 0.013244 -0.095645 0.406576 0.230789 +0.281356 0.237638 -0.506818 0.451910 -0.296484 0.841353 0.441685 0.296292 +0.279028 0.138857 -0.540377 0.451910 -0.296484 0.841353 0.382069 0.269850 +0.314774 0.238125 -0.524596 0.451910 -0.296484 0.841353 0.457979 0.263825 +0.303818 0.141994 -0.553183 0.467488 -0.300505 0.831356 0.395802 0.246571 +0.314774 0.238125 -0.524596 0.467488 -0.300505 0.831356 0.457979 0.263825 +0.279028 0.138857 -0.540377 0.467488 -0.300505 0.831356 0.382069 0.269850 +0.227821 0.242999 -0.552386 -0.724935 -0.309681 0.615277 0.515514 0.271849 +0.229231 0.149052 -0.598010 -0.724935 -0.309681 0.615277 0.460553 0.243164 +0.251681 0.238647 -0.526464 -0.724935 -0.309681 0.615277 0.524365 0.247302 +0.249190 0.142482 -0.549680 -0.925401 -0.066121 0.373177 0.466222 0.221779 +0.251681 0.238647 -0.526464 -0.925401 -0.066121 0.373177 0.524365 0.247302 +0.229231 0.149052 -0.598010 -0.925401 -0.066121 0.373177 0.460553 0.243164 +0.276371 0.261753 -0.627443 -0.049447 0.234324 -0.970900 0.549875 0.229926 +0.273842 0.155061 -0.653064 -0.049447 0.234324 -0.970900 0.485479 0.201380 +0.258925 0.262389 -0.626401 -0.049447 0.234324 -0.970900 0.541895 0.247134 +0.256660 0.154840 -0.650004 -0.173924 0.214587 -0.961095 0.477118 0.218082 +0.258925 0.262389 -0.626401 -0.173924 0.214587 -0.961095 0.541895 0.247134 +0.273842 0.155061 -0.653064 -0.173924 0.214587 -0.961095 0.485479 0.201380 +0.294872 0.153510 -0.646012 0.323639 0.282744 -0.902947 0.398336 0.258648 +0.273842 0.155061 -0.653064 0.323639 0.282744 -0.902947 0.389182 0.279621 +0.302528 0.254364 -0.611687 0.323639 0.282744 -0.902947 0.461730 0.280495 +0.276371 0.261753 -0.627443 0.544748 0.183584 -0.818258 0.453578 0.308167 +0.302528 0.254364 -0.611687 0.544748 0.183584 -0.818258 0.461730 0.280495 +0.273842 0.155061 -0.653064 0.544748 0.183584 -0.818258 0.389182 0.279621 +0.309583 0.151638 -0.628689 0.760102 0.170309 -0.627088 0.404274 0.243749 +0.294872 0.153510 -0.646012 0.760102 0.170309 -0.627088 0.398336 0.258648 +0.316683 0.250336 -0.593278 0.760102 0.170309 -0.627088 0.466125 0.265511 +0.302528 0.254364 -0.611687 0.799519 0.138243 -0.584515 0.461730 0.280495 +0.316683 0.250336 -0.593278 0.799519 0.138243 -0.584515 0.466125 0.265511 +0.294872 0.153510 -0.646012 0.799519 0.138243 -0.584515 0.398336 0.258648 +0.445104 0.928435 -0.474404 0.999353 0.030673 -0.018797 0.574432 0.410717 +0.449056 0.787950 -0.493539 0.999353 0.030673 -0.018797 0.482008 0.402610 +0.441108 0.978452 -0.605236 0.999353 0.030673 -0.018797 0.607222 0.416416 +0.459976 0.814650 -0.598947 0.984156 0.118429 0.131954 0.500096 0.391475 +0.441108 0.978452 -0.605236 0.984156 0.118429 0.131954 0.607222 0.416416 +0.449056 0.787950 -0.493539 0.984156 0.118429 0.131954 0.482008 0.402610 +0.323346 0.595644 -0.382968 0.702030 -0.272221 0.658065 0.748971 0.214842 +0.405733 0.714452 -0.421712 0.702030 -0.272221 0.658065 0.720534 0.099280 +0.338005 0.651199 -0.375625 0.702030 -0.272221 0.658065 0.723749 0.183843 +0.396773 0.803304 -0.408556 0.598110 -0.058037 0.799310 0.664001 0.080982 +0.338005 0.651199 -0.375625 0.598110 -0.058037 0.799310 0.723749 0.183843 +0.405733 0.714452 -0.421712 0.598110 -0.058037 0.799310 0.720534 0.099280 +0.148618 0.462029 -0.528786 -0.699168 -0.327309 0.635636 0.456625 0.325394 +0.210664 0.501884 -0.440016 -0.699168 -0.327309 0.635636 0.528722 0.331889 +0.131915 0.497689 -0.528796 -0.699168 -0.327309 0.635636 0.481067 0.179385 +0.186971 0.537279 -0.445619 -0.688903 -0.361707 0.628157 0.546283 0.182653 +0.131915 0.497689 -0.528796 -0.688903 -0.361707 0.628157 0.481067 0.179385 +0.210664 0.501884 -0.440016 -0.688903 -0.361707 0.628157 0.528722 0.331889 +0.271029 0.649493 -0.828348 0.456689 -0.545682 -0.702614 0.691280 0.249016 +0.294151 0.616429 -0.787640 0.456689 -0.545682 -0.702614 0.722205 0.236722 +0.188531 0.548481 -0.803520 0.456689 -0.545682 -0.702614 0.709235 0.359289 +0.229238 0.513438 -0.751868 0.450446 -0.532747 -0.716435 0.750107 0.330620 +0.188531 0.548481 -0.803520 0.450446 -0.532747 -0.716435 0.709235 0.359289 +0.294151 0.616429 -0.787640 0.450446 -0.532747 -0.716435 0.722205 0.236722 +0.430026 0.805969 -0.707082 0.790598 -0.062861 -0.609100 0.493034 0.423768 +0.368785 0.725018 -0.778217 0.790598 -0.062861 -0.609100 0.436935 0.488083 +0.421764 0.935026 -0.731125 0.790598 -0.062861 -0.609100 0.577732 0.436246 +0.327169 0.782242 -0.847824 0.824154 -0.082256 -0.560360 0.472792 0.534835 +0.421764 0.935026 -0.731125 0.824154 -0.082256 -0.560360 0.577732 0.436246 +0.368785 0.725018 -0.778217 0.824154 -0.082256 -0.560360 0.436935 0.488083 +0.405876 0.495396 -0.495740 0.979983 -0.195413 -0.038040 0.730544 0.570494 +0.383499 0.385173 -0.505994 0.979983 -0.195413 -0.038040 0.706221 0.643209 +0.402735 0.492227 -0.560380 0.979983 -0.195413 -0.038040 0.727130 0.572585 +0.376532 0.385658 -0.549829 0.955732 -0.250307 -0.154671 0.698647 0.642889 +0.402735 0.492227 -0.560380 0.955732 -0.250307 -0.154671 0.727130 0.572585 +0.383499 0.385173 -0.505994 0.955732 -0.250307 -0.154671 0.706221 0.643209 +0.306654 0.449769 -0.389007 0.533856 -0.367401 0.761587 0.675725 0.255029 +0.287657 0.357903 -0.420008 0.533856 -0.367401 0.761587 0.612221 0.246862 +0.357320 0.465251 -0.417054 0.533856 -0.367401 0.761587 0.709161 0.210089 +0.336212 0.375617 -0.447832 0.560538 -0.383950 0.733743 0.645969 0.204631 +0.357320 0.465251 -0.417054 0.560538 -0.383950 0.733743 0.709161 0.210089 +0.287657 0.357903 -0.420008 0.560538 -0.383950 0.733743 0.612221 0.246862 +0.219295 0.413224 -0.435004 -0.817202 -0.183786 0.546264 0.511074 0.388437 +0.165710 0.397867 -0.520333 -0.817202 -0.183786 0.546264 0.454410 0.371567 +0.224163 0.371037 -0.441915 -0.817202 -0.183786 0.546264 0.503417 0.415712 +0.178825 0.378250 -0.521027 -0.759840 -0.521716 0.387886 0.461411 0.389504 +0.224163 0.371037 -0.441915 -0.759840 -0.521716 0.387886 0.503417 0.415712 +0.165710 0.397867 -0.520333 -0.759840 -0.521716 0.387886 0.454410 0.371567 +0.286957 0.438026 -0.682616 0.297427 -0.363279 -0.882930 0.584214 0.406541 +0.276524 0.379310 -0.661972 0.297427 -0.363279 -0.882930 0.556809 0.436173 +0.236832 0.429808 -0.696120 0.297427 -0.363279 -0.882930 0.533014 0.387130 +0.245371 0.378741 -0.672412 0.302426 -0.359302 -0.882859 0.526322 0.421428 +0.236832 0.429808 -0.696120 0.302426 -0.359302 -0.882859 0.533014 0.387130 +0.276524 0.379310 -0.661972 0.302426 -0.359302 -0.882859 0.556809 0.436173 +0.347038 0.457320 -0.652398 0.508891 -0.360039 -0.781922 0.568577 0.329206 +0.332847 0.381643 -0.626788 0.508891 -0.360039 -0.781922 0.532531 0.367037 +0.286957 0.438026 -0.682616 0.508891 -0.360039 -0.781922 0.504433 0.311517 +0.276524 0.379310 -0.661972 0.504116 -0.364802 -0.782807 0.477028 0.341149 +0.286957 0.438026 -0.682616 0.504116 -0.364802 -0.782807 0.504433 0.311517 +0.332847 0.381643 -0.626788 0.504116 -0.364802 -0.782807 0.532531 0.367037 +0.387067 0.479440 -0.602420 0.806748 -0.244638 -0.537875 0.614034 0.335518 +0.367801 0.383197 -0.587543 0.806748 -0.244638 -0.537875 0.567007 0.383040 +0.347038 0.457320 -0.652398 0.806748 -0.244638 -0.537875 0.568577 0.329206 +0.332847 0.381643 -0.626788 0.708457 -0.341806 -0.617460 0.532531 0.367037 +0.347038 0.457320 -0.652398 0.708457 -0.341806 -0.617460 0.568577 0.329206 +0.367801 0.383197 -0.587543 0.708457 -0.341806 -0.617460 0.567007 0.383040 +0.436833 0.660827 -0.575138 0.977676 -0.189846 0.090041 0.764194 0.461358 +0.427755 0.650739 -0.497838 0.977676 -0.189846 0.090041 0.754328 0.468012 +0.402735 0.492227 -0.560380 0.977676 -0.189846 0.090041 0.727130 0.572585 +0.405876 0.495396 -0.495740 0.989308 -0.139894 -0.041215 0.730544 0.570494 +0.402735 0.492227 -0.560380 0.989308 -0.139894 -0.041215 0.727130 0.572585 +0.427755 0.650739 -0.497838 0.989308 -0.139894 -0.041215 0.754328 0.468012 +0.391453 0.607499 -0.418047 0.533801 -0.122247 0.836727 0.655926 0.261999 +0.325815 0.553484 -0.384064 0.533801 -0.122247 0.836727 0.576173 0.262130 +0.357320 0.465251 -0.417054 0.533801 -0.122247 0.836727 0.580914 0.329499 +0.306654 0.449769 -0.389007 0.511117 -0.134883 0.848861 0.527053 0.314116 +0.357320 0.465251 -0.417054 0.511117 -0.134883 0.848861 0.580914 0.329499 +0.325815 0.553484 -0.384064 0.511117 -0.134883 0.848861 0.576173 0.262130 +0.210664 0.501884 -0.440016 -0.782607 -0.135127 0.607673 0.528722 0.331889 +0.148618 0.462029 -0.528786 -0.782607 -0.135127 0.607673 0.456625 0.325394 +0.210983 0.483240 -0.443751 -0.782607 -0.135127 0.607673 0.523555 0.343056 +0.153661 0.447830 -0.526172 -0.775695 -0.163269 0.609623 0.457362 0.336222 +0.210983 0.483240 -0.443751 -0.775695 -0.163269 0.609623 0.523555 0.343056 +0.148618 0.462029 -0.528786 -0.775695 -0.163269 0.609623 0.456625 0.325394 +0.294651 0.556844 -0.747369 0.304728 -0.470908 -0.827881 0.546830 0.245059 +0.286957 0.438026 -0.682616 0.304728 -0.470908 -0.827881 0.504433 0.311517 +0.233252 0.490942 -0.732483 0.304728 -0.470908 -0.827881 0.467711 0.254263 +0.236832 0.429808 -0.696120 0.300678 -0.474488 -0.827318 0.453233 0.292106 +0.233252 0.490942 -0.732483 0.300678 -0.474488 -0.827318 0.467711 0.254263 +0.286957 0.438026 -0.682616 0.300678 -0.474488 -0.827318 0.504433 0.311517 +0.352869 0.593997 -0.722752 0.560847 -0.397706 -0.726141 0.614407 0.251296 +0.347038 0.457320 -0.652398 0.560847 -0.397706 -0.726141 0.568577 0.329206 +0.294651 0.556844 -0.747369 0.560847 -0.397706 -0.726141 0.546830 0.245059 +0.286957 0.438026 -0.682616 0.512195 -0.436329 -0.739779 0.504433 0.311517 +0.294651 0.556844 -0.747369 0.512195 -0.436329 -0.739779 0.546830 0.245059 +0.347038 0.457320 -0.652398 0.512195 -0.436329 -0.739779 0.568577 0.329206 +0.398648 0.643241 -0.657788 0.867407 -0.213290 -0.449568 0.673430 0.244370 +0.387067 0.479440 -0.602420 0.867407 -0.213290 -0.449568 0.614034 0.335518 +0.352869 0.593997 -0.722752 0.867407 -0.213290 -0.449568 0.614407 0.251296 +0.347038 0.457320 -0.652398 0.805044 -0.298289 -0.512765 0.568577 0.329206 +0.352869 0.593997 -0.722752 0.805044 -0.298289 -0.512765 0.614407 0.251296 +0.387067 0.479440 -0.602420 0.805044 -0.298289 -0.512765 0.614034 0.335518 +0.445104 0.928435 -0.474404 0.846806 -0.048327 0.529701 0.574432 0.410717 +0.396773 0.803304 -0.408556 0.846806 -0.048327 0.529701 0.489789 0.459811 +0.449056 0.787950 -0.493539 0.846806 -0.048327 0.529701 0.482008 0.402610 +0.405733 0.714452 -0.421712 0.852379 0.008538 0.522855 0.431623 0.447667 +0.449056 0.787950 -0.493539 0.852379 0.008538 0.522855 0.482008 0.402610 +0.396773 0.803304 -0.408556 0.852379 0.008538 0.522855 0.489789 0.459811 +0.357320 0.465251 -0.417054 0.866101 -0.204641 0.456060 0.677764 0.590381 +0.405876 0.495396 -0.495740 0.866101 -0.204641 0.456060 0.730544 0.570494 +0.391453 0.607499 -0.418047 0.866101 -0.204641 0.456060 0.714866 0.496538 +0.427755 0.650739 -0.497838 0.926919 -0.125775 0.353555 0.754328 0.468012 +0.391453 0.607499 -0.418047 0.926919 -0.125775 0.353555 0.714866 0.496538 +0.405876 0.495396 -0.495740 0.926919 -0.125775 0.353555 0.730544 0.570494 +0.405876 0.495396 -0.495740 0.865675 -0.217684 0.450800 0.637028 0.335198 +0.357320 0.465251 -0.417054 0.865675 -0.217684 0.450800 0.580914 0.329499 +0.383499 0.385173 -0.505994 0.865675 -0.217684 0.450800 0.582866 0.389472 +0.336212 0.375617 -0.447832 0.750671 -0.365710 0.550226 0.534036 0.372225 +0.383499 0.385173 -0.505994 0.750671 -0.365710 0.550226 0.582866 0.389472 +0.357320 0.465251 -0.417054 0.750671 -0.365710 0.550226 0.580914 0.329499 +0.325592 0.241357 -0.544287 0.871915 -0.202645 0.445757 0.465075 0.254208 +0.314774 0.238125 -0.524596 0.871915 -0.202645 0.445757 0.457979 0.263825 +0.321219 0.146115 -0.579031 0.871915 -0.202645 0.445757 0.406576 0.230789 +0.303818 0.141994 -0.553183 0.821697 -0.246463 0.513877 0.395802 0.246571 +0.321219 0.146115 -0.579031 0.821697 -0.246463 0.513877 0.406576 0.230789 +0.314774 0.238125 -0.524596 0.821697 -0.246463 0.513877 0.457979 0.263825 +0.338005 0.651199 -0.375625 -0.413453 -0.011244 0.910456 0.723749 0.183843 +0.186971 0.537279 -0.445619 -0.413453 -0.011244 0.910456 0.715019 0.364192 +0.323346 0.595644 -0.382968 -0.413453 -0.011244 0.910456 0.748971 0.214842 +0.210664 0.501884 -0.440016 -0.376999 -0.106717 0.920045 0.747595 0.352055 +0.323346 0.595644 -0.382968 -0.376999 -0.106717 0.920045 0.748971 0.214842 +0.186971 0.537279 -0.445619 -0.376999 -0.106717 0.920045 0.715019 0.364192 +0.323346 0.595644 -0.382968 -0.419011 -0.048109 0.906706 0.748971 0.214842 +0.210664 0.501884 -0.440016 -0.419011 -0.048109 0.906706 0.747595 0.352055 +0.325815 0.553484 -0.384064 -0.419011 -0.048109 0.906706 0.774905 0.225245 +0.210983 0.483240 -0.443751 -0.359252 -0.189222 0.913856 0.758677 0.357401 +0.325815 0.553484 -0.384064 -0.359252 -0.189222 0.913856 0.774905 0.225245 +0.210664 0.501884 -0.440016 -0.359252 -0.189222 0.913856 0.747595 0.352055 +0.306654 0.449769 -0.389007 -0.378747 -0.224656 0.897820 0.675725 0.255029 +0.219295 0.413224 -0.435004 -0.378747 -0.224656 0.897820 0.612241 0.329651 +0.287657 0.357903 -0.420008 -0.378747 -0.224656 0.897820 0.612221 0.246862 +0.224163 0.371037 -0.441915 -0.355215 -0.190896 0.915085 0.589588 0.312638 +0.287657 0.357903 -0.420008 -0.355215 -0.190896 0.915085 0.612221 0.246862 +0.219295 0.413224 -0.435004 -0.355215 -0.190896 0.915085 0.612241 0.329651 +0.281356 0.237638 -0.506818 -0.539237 -0.259479 0.801183 0.441685 0.296292 +0.251681 0.238647 -0.526464 -0.539237 -0.259479 0.801183 0.428069 0.325543 +0.279028 0.138857 -0.540377 -0.539237 -0.259479 0.801183 0.382069 0.269850 +0.249190 0.142482 -0.549680 -0.314405 -0.215072 0.924604 0.369926 0.300019 +0.279028 0.138857 -0.540377 -0.314405 -0.215072 0.924604 0.382069 0.269850 +0.251681 0.238647 -0.526464 -0.314405 -0.215072 0.924604 0.428069 0.325543 +0.152043 0.461232 -0.627012 -0.600298 -0.797240 -0.063652 0.459724 0.327523 +0.130595 0.478463 -0.640555 -0.600298 -0.797240 -0.063652 0.474133 0.190102 +0.156180 0.464735 -0.709903 -0.600298 -0.797240 -0.063652 0.464780 0.327456 +0.139670 0.486843 -0.729077 -0.732344 -0.666763 -0.138197 0.485428 0.189545 +0.156180 0.464735 -0.709903 -0.732344 -0.666763 -0.138197 0.464780 0.327456 +0.130595 0.478463 -0.640555 -0.732344 -0.666763 -0.138197 0.474133 0.190102 +0.155519 0.446525 -0.617108 -0.935100 -0.321461 -0.149164 0.848768 0.343837 +0.152043 0.461232 -0.627012 -0.935100 -0.321461 -0.149164 0.838414 0.342732 +0.166408 0.448651 -0.689952 -0.935100 -0.321461 -0.149164 0.852964 0.332680 +0.156180 0.464735 -0.709903 -0.803508 -0.591722 -0.065109 0.838430 0.337675 +0.166408 0.448651 -0.689952 -0.803508 -0.591722 -0.065109 0.852964 0.332680 +0.152043 0.461232 -0.627012 -0.803508 -0.591722 -0.065109 0.838414 0.342732 +0.179266 0.377465 -0.601335 -0.801345 -0.496215 -0.334092 0.461610 0.390181 +0.166063 0.399052 -0.601729 -0.801345 -0.496215 -0.334092 0.455101 0.371038 +0.200532 0.376826 -0.651394 -0.801345 -0.496215 -0.334092 0.482119 0.400853 +0.185062 0.409151 -0.653566 -0.822832 -0.419544 -0.383316 0.476560 0.374270 +0.200532 0.376826 -0.651394 -0.822832 -0.419544 -0.383316 0.482119 0.400853 +0.166063 0.399052 -0.601729 -0.822832 -0.419544 -0.383316 0.455101 0.371038 +0.229813 0.252879 -0.597061 -0.853240 0.161341 -0.495935 0.522319 0.272778 +0.239402 0.258518 -0.611724 -0.853240 0.161341 -0.495935 0.530252 0.265060 +0.232306 0.151996 -0.634170 -0.853240 0.161341 -0.495935 0.463769 0.241020 +0.241496 0.153820 -0.644234 -0.742155 0.185170 -0.644142 0.469251 0.232583 +0.232306 0.151996 -0.634170 -0.742155 0.185170 -0.644142 0.463769 0.241020 +0.239402 0.258518 -0.611724 -0.742155 0.185170 -0.644142 0.530252 0.265060 +0.383499 0.385173 -0.505994 0.933375 -0.325152 -0.151946 0.577980 0.239507 +0.355280 0.307759 -0.513678 0.933375 -0.325152 -0.151946 0.518619 0.244540 +0.376532 0.385658 -0.549829 0.933375 -0.325152 -0.151946 0.574930 0.246446 +0.348767 0.311345 -0.549903 0.918082 -0.342818 -0.199001 0.517622 0.251938 +0.376532 0.385658 -0.549829 0.918082 -0.342818 -0.199001 0.574930 0.246446 +0.355280 0.307759 -0.513678 0.918082 -0.342818 -0.199001 0.518619 0.244540 +0.287657 0.357903 -0.420008 0.560305 -0.506940 0.655035 0.515925 0.325103 +0.284307 0.300945 -0.461223 0.560305 -0.506940 0.655035 0.480589 0.311815 +0.336212 0.375617 -0.447832 0.560305 -0.506940 0.655035 0.549672 0.282872 +0.337312 0.305082 -0.487621 0.427762 -0.439031 0.790108 0.508427 0.261295 +0.336212 0.375617 -0.447832 0.427762 -0.439031 0.790108 0.549672 0.282872 +0.284307 0.300945 -0.461223 0.427762 -0.439031 0.790108 0.480589 0.311815 +0.178825 0.378250 -0.521027 -0.842887 -0.283788 0.457172 0.572145 0.358975 +0.196859 0.303928 -0.533913 -0.842887 -0.283788 0.457172 0.536767 0.319773 +0.224163 0.371037 -0.441915 -0.842887 -0.283788 0.457172 0.589588 0.312638 +0.237075 0.304912 -0.487034 -0.646585 -0.512068 0.565433 0.556612 0.280816 +0.224163 0.371037 -0.441915 -0.646585 -0.512068 0.565433 0.589588 0.312638 +0.196859 0.303928 -0.533913 -0.646585 -0.512068 0.565433 0.536767 0.319773 +0.276524 0.379310 -0.661972 0.294051 -0.429080 -0.854063 0.619567 0.263949 +0.276524 0.326774 -0.635578 0.294051 -0.429080 -0.854063 0.588454 0.248677 +0.245371 0.378741 -0.672412 0.294051 -0.429080 -0.854063 0.604309 0.294182 +0.249547 0.327400 -0.643542 0.241457 -0.460643 -0.854112 0.575904 0.275183 +0.245371 0.378741 -0.672412 0.241457 -0.460643 -0.854112 0.604309 0.294182 +0.276524 0.326774 -0.635578 0.241457 -0.460643 -0.854112 0.588454 0.248677 +0.332847 0.381643 -0.626788 0.509629 -0.331863 -0.793817 0.647925 0.209667 +0.319099 0.323902 -0.611475 0.509629 -0.331863 -0.793817 0.607145 0.206298 +0.276524 0.379310 -0.661972 0.509629 -0.331863 -0.793817 0.619567 0.263949 +0.276524 0.326774 -0.635578 0.429493 -0.405413 -0.806955 0.588454 0.248677 +0.276524 0.379310 -0.661972 0.429493 -0.405413 -0.806955 0.619567 0.263949 +0.319099 0.323902 -0.611475 0.429493 -0.405413 -0.806955 0.607145 0.206298 +0.367801 0.383197 -0.587543 0.715002 -0.314540 -0.624369 0.569291 0.254251 +0.343097 0.315867 -0.581914 0.715002 -0.314540 -0.624369 0.517585 0.258785 +0.332847 0.381643 -0.626788 0.715002 -0.314540 -0.624369 0.551629 0.287908 +0.319099 0.323902 -0.611475 0.685019 -0.334710 -0.647085 0.510849 0.284539 +0.332847 0.381643 -0.626788 0.685019 -0.334710 -0.647085 0.551629 0.287908 +0.343097 0.315867 -0.581914 0.685019 -0.334710 -0.647085 0.517585 0.258785 +0.336212 0.375617 -0.447832 0.762157 -0.309020 0.568879 0.549672 0.282872 +0.337312 0.305082 -0.487621 0.762157 -0.309020 0.568879 0.508427 0.261295 +0.383499 0.385173 -0.505994 0.762157 -0.309020 0.568879 0.577980 0.239507 +0.355280 0.307759 -0.513678 0.790469 -0.338791 0.510274 0.518619 0.244540 +0.383499 0.385173 -0.505994 0.790469 -0.338791 0.510274 0.577980 0.239507 +0.337312 0.305082 -0.487621 0.790469 -0.338791 0.510274 0.508427 0.261295 +0.224163 0.371037 -0.441915 -0.370779 -0.571765 0.731852 0.589588 0.312638 +0.237075 0.304912 -0.487034 -0.370779 -0.571765 0.731852 0.556612 0.280816 +0.287657 0.357903 -0.420008 -0.370779 -0.571765 0.731852 0.612221 0.246862 +0.284307 0.300945 -0.461223 -0.445642 -0.507445 0.737497 0.576885 0.233575 +0.287657 0.357903 -0.420008 -0.445642 -0.507445 0.737497 0.612221 0.246862 +0.237075 0.304912 -0.487034 -0.445642 -0.507445 0.737497 0.556612 0.280816 +0.200532 0.376826 -0.651394 -0.852736 -0.380933 -0.357395 0.475253 0.264646 +0.215880 0.327812 -0.635772 -0.852736 -0.380933 -0.357395 0.450384 0.238086 +0.179266 0.377465 -0.601335 -0.852736 -0.380933 -0.357395 0.467898 0.286565 +0.198140 0.314314 -0.597121 -0.831458 -0.280500 -0.479580 0.435528 0.253267 +0.179266 0.377465 -0.601335 -0.831458 -0.280500 -0.479580 0.467898 0.286565 +0.215880 0.327812 -0.635772 -0.831458 -0.280500 -0.479580 0.450384 0.238086 +0.430026 0.805969 -0.707082 0.963408 0.011789 -0.267780 0.493034 0.423768 +0.421764 0.935026 -0.731125 0.963408 0.011789 -0.267780 0.577732 0.436246 +0.459976 0.814650 -0.598947 0.963408 0.011789 -0.267780 0.500096 0.391475 +0.441108 0.978452 -0.605236 0.976801 0.105358 -0.186438 0.607222 0.416416 +0.459976 0.814650 -0.598947 0.976801 0.105358 -0.186438 0.500096 0.391475 +0.421764 0.935026 -0.731125 0.976801 0.105358 -0.186438 0.577732 0.436246 +0.402735 0.492227 -0.560380 0.934860 -0.213872 -0.283364 0.727130 0.572585 +0.387067 0.479440 -0.602420 0.934860 -0.213872 -0.283364 0.710099 0.581020 +0.436833 0.660827 -0.575138 0.934860 -0.213872 -0.283364 0.764194 0.461358 +0.398648 0.643241 -0.657788 0.905854 -0.191722 -0.377718 0.722687 0.472959 +0.436833 0.660827 -0.575138 0.905854 -0.191722 -0.377718 0.764194 0.461358 +0.387067 0.479440 -0.602420 0.905854 -0.191722 -0.377718 0.710099 0.581020 +0.367801 0.383197 -0.587543 0.952881 -0.222602 -0.206071 0.689156 0.644513 +0.387067 0.479440 -0.602420 0.952881 -0.222602 -0.206071 0.710099 0.581020 +0.376532 0.385658 -0.549829 0.952881 -0.222602 -0.206071 0.698647 0.642889 +0.402735 0.492227 -0.560380 0.928881 -0.254988 -0.268630 0.727130 0.572585 +0.376532 0.385658 -0.549829 0.928881 -0.254988 -0.268630 0.698647 0.642889 +0.387067 0.479440 -0.602420 0.928881 -0.254988 -0.268630 0.710099 0.581020 +0.343097 0.315867 -0.581914 0.911772 -0.352199 -0.211252 0.517585 0.258785 +0.367801 0.383197 -0.587543 0.911772 -0.352199 -0.211252 0.569291 0.254251 +0.348767 0.311345 -0.549903 0.911772 -0.352199 -0.211252 0.517622 0.251938 +0.376532 0.385658 -0.549829 0.919661 -0.343416 -0.190497 0.574930 0.246446 +0.348767 0.311345 -0.549903 0.919661 -0.343416 -0.190497 0.517622 0.251938 +0.367801 0.383197 -0.587543 0.919661 -0.343416 -0.190497 0.569291 0.254251 +0.309583 0.151638 -0.628689 0.923658 0.068812 -0.376989 0.404274 0.243749 +0.316683 0.250336 -0.593278 0.923658 0.068812 -0.376989 0.466125 0.265511 +0.318454 0.149689 -0.607310 0.923658 0.068812 -0.376989 0.407369 0.234526 +0.320785 0.245758 -0.569750 0.985638 0.040210 -0.164017 0.465378 0.260178 +0.318454 0.149689 -0.607310 0.985638 0.040210 -0.164017 0.407369 0.234526 +0.316683 0.250336 -0.593278 0.985638 0.040210 -0.164017 0.466125 0.265511 +0.148618 0.462029 -0.528786 -0.905221 -0.424010 -0.028123 0.836236 0.345797 +0.131915 0.497689 -0.528796 -0.905221 -0.424010 -0.028123 0.690639 0.319007 +0.152043 0.461232 -0.627012 -0.905221 -0.424010 -0.028123 0.838414 0.342732 +0.130595 0.478463 -0.640555 -0.670550 -0.729760 0.133461 0.701244 0.326112 +0.152043 0.461232 -0.627012 -0.670550 -0.729760 0.133461 0.838414 0.342732 +0.131915 0.497689 -0.528796 -0.670550 -0.729760 0.133461 0.690639 0.319007 +0.153661 0.447830 -0.526172 -0.941394 -0.337001 -0.014398 0.847075 0.345234 +0.148618 0.462029 -0.528786 -0.941394 -0.337001 -0.014398 0.836236 0.345797 +0.155519 0.446525 -0.617108 -0.941394 -0.337001 -0.014398 0.848768 0.343837 +0.152043 0.461232 -0.627012 -0.967707 -0.250074 -0.031713 0.838414 0.342732 +0.155519 0.446525 -0.617108 -0.967707 -0.250074 -0.031713 0.848768 0.343837 +0.148618 0.462029 -0.528786 -0.967707 -0.250074 -0.031713 0.836236 0.345797 +0.165710 0.397867 -0.520333 -0.831460 -0.555462 -0.011692 0.882368 0.348755 +0.166063 0.399052 -0.601729 -0.831460 -0.555462 -0.011692 0.881850 0.348055 +0.178825 0.378250 -0.521027 -0.831460 -0.555462 -0.011692 0.900415 0.342044 +0.179266 0.377465 -0.601335 -0.853092 -0.521760 0.000415 0.901095 0.341856 +0.178825 0.378250 -0.521027 -0.853092 -0.521760 0.000415 0.900415 0.342044 +0.166063 0.399052 -0.601729 -0.853092 -0.521760 0.000415 0.881850 0.348055 +0.178825 0.378250 -0.521027 -0.971917 -0.235306 -0.003037 0.468225 0.287190 +0.179266 0.377465 -0.601335 -0.971917 -0.235306 -0.003037 0.467898 0.286565 +0.196859 0.303928 -0.533913 -0.971917 -0.235306 -0.003037 0.428606 0.252281 +0.198140 0.314314 -0.597121 -0.954738 -0.289812 -0.066969 0.435528 0.253267 +0.196859 0.303928 -0.533913 -0.954738 -0.289812 -0.066969 0.428606 0.252281 +0.179266 0.377465 -0.601335 -0.954738 -0.289812 -0.066969 0.467898 0.286565 +0.227821 0.242999 -0.552386 -0.999048 0.005995 -0.043220 0.515514 0.271849 +0.229813 0.252879 -0.597061 -0.999048 0.005995 -0.043220 0.522319 0.272778 +0.229231 0.149052 -0.598010 -0.999048 0.005995 -0.043220 0.460553 0.243164 +0.232306 0.151996 -0.634170 -0.996427 0.006355 -0.084218 0.463769 0.241020 +0.229231 0.149052 -0.598010 -0.996427 0.006355 -0.084218 0.460553 0.243164 +0.229813 0.252879 -0.597061 -0.996427 0.006355 -0.084218 0.522319 0.272778 +0.156180 0.464735 -0.709903 0.001897 -0.654388 -0.756156 0.464780 0.327456 +0.139670 0.486843 -0.729077 0.001897 -0.654388 -0.756156 0.485428 0.189545 +0.229238 0.513438 -0.751868 0.001897 -0.654388 -0.756156 0.550194 0.334056 +0.188531 0.548481 -0.803520 0.082147 -0.793458 -0.603056 0.551092 0.176791 +0.229238 0.513438 -0.751868 0.082147 -0.793458 -0.603056 0.550194 0.334056 +0.139670 0.486843 -0.729077 0.082147 -0.793458 -0.603056 0.485428 0.189545 +0.156180 0.464735 -0.709903 0.116850 -0.743062 -0.658943 0.464780 0.327456 +0.229238 0.513438 -0.751868 0.116850 -0.743062 -0.658943 0.550194 0.334056 +0.166408 0.448651 -0.689952 0.116850 -0.743062 -0.658943 0.470010 0.341908 +0.233252 0.490942 -0.732483 -0.061439 -0.657818 -0.750667 0.547492 0.349287 +0.166408 0.448651 -0.689952 -0.061439 -0.657818 -0.750667 0.470010 0.341908 +0.229238 0.513438 -0.751868 -0.061439 -0.657818 -0.750667 0.550194 0.334056 +0.200532 0.376826 -0.651394 -0.401956 -0.251525 -0.880435 0.482119 0.400853 +0.185062 0.409151 -0.653566 -0.401956 -0.251525 -0.880435 0.476560 0.374270 +0.245371 0.378741 -0.672412 -0.401956 -0.251525 -0.880435 0.526322 0.421428 +0.236832 0.429808 -0.696120 -0.461287 -0.435903 -0.772789 0.533014 0.387130 +0.245371 0.378741 -0.672412 -0.461287 -0.435903 -0.772789 0.526322 0.421428 +0.185062 0.409151 -0.653566 -0.461287 -0.435903 -0.772789 0.476560 0.374270 +0.215880 0.327812 -0.635772 -0.214214 -0.356881 -0.909257 0.560023 0.308155 +0.200532 0.376826 -0.651394 -0.214214 -0.356881 -0.909257 0.581698 0.337379 +0.249547 0.327400 -0.643542 -0.214214 -0.356881 -0.909257 0.575904 0.275183 +0.245371 0.378741 -0.672412 -0.355466 -0.479930 -0.802067 0.604309 0.294182 +0.249547 0.327400 -0.643542 -0.355466 -0.479930 -0.802067 0.575904 0.275183 +0.200532 0.376826 -0.651394 -0.355466 -0.479930 -0.802067 0.581698 0.337379 +0.239402 0.258518 -0.611724 -0.613644 0.222927 -0.757459 0.530252 0.265060 +0.258925 0.262389 -0.626401 -0.613644 0.222927 -0.757459 0.541895 0.247134 +0.241496 0.153820 -0.644234 -0.613644 0.222927 -0.757459 0.469251 0.232583 +0.256660 0.154840 -0.650004 -0.360058 0.207212 -0.909627 0.477118 0.218082 +0.241496 0.153820 -0.644234 -0.360058 0.207212 -0.909627 0.469251 0.232583 +0.258925 0.262389 -0.626401 -0.360058 0.207212 -0.909627 0.541895 0.247134 +0.405733 0.714452 -0.421712 0.461967 -0.031308 0.886344 0.720534 0.099280 +0.323346 0.595644 -0.382968 0.461967 -0.031308 0.886344 0.748971 0.214842 +0.391453 0.607499 -0.418047 0.461967 -0.031308 0.886344 0.776059 0.145501 +0.325815 0.553484 -0.384064 0.457382 0.003669 0.889263 0.774905 0.225245 +0.391453 0.607499 -0.418047 0.457382 0.003669 0.889263 0.776059 0.145501 +0.323346 0.595644 -0.382968 0.457382 0.003669 0.889263 0.748971 0.214842 +0.449056 0.787950 -0.493539 0.907666 -0.153151 0.390752 0.777482 0.377493 +0.405733 0.714452 -0.421712 0.907666 -0.153151 0.390752 0.730389 0.425981 +0.427755 0.650739 -0.497838 0.907666 -0.153151 0.390752 0.754328 0.468012 +0.391453 0.607499 -0.418047 0.925918 -0.111256 0.360968 0.714866 0.496538 +0.427755 0.650739 -0.497838 0.925918 -0.111256 0.360968 0.754328 0.468012 +0.405733 0.714452 -0.421712 0.925918 -0.111256 0.360968 0.730389 0.425981 +0.459976 0.814650 -0.598947 0.988106 -0.138238 0.067349 0.789352 0.359879 +0.449056 0.787950 -0.493539 0.988106 -0.138238 0.067349 0.777482 0.377493 +0.436833 0.660827 -0.575138 0.988106 -0.138238 0.067349 0.764194 0.461358 +0.427755 0.650739 -0.497838 0.983223 -0.155620 0.095159 0.754328 0.468012 +0.436833 0.660827 -0.575138 0.983223 -0.155620 0.095159 0.764194 0.461358 +0.449056 0.787950 -0.493539 0.983223 -0.155620 0.095159 0.777482 0.377493 +0.430026 0.805969 -0.707082 0.937346 -0.253229 -0.239286 0.756796 0.365606 +0.459976 0.814650 -0.598947 0.937346 -0.253229 -0.239286 0.789352 0.359879 +0.398648 0.643241 -0.657788 0.937346 -0.253229 -0.239286 0.722687 0.472959 +0.436833 0.660827 -0.575138 0.905554 -0.194591 -0.376969 0.764194 0.461358 +0.398648 0.643241 -0.657788 0.905554 -0.194591 -0.376969 0.722687 0.472959 +0.459976 0.814650 -0.598947 0.905554 -0.194591 -0.376969 0.789352 0.359879 +0.430026 0.805969 -0.707082 0.863433 -0.291261 -0.411887 0.756796 0.365606 +0.398648 0.643241 -0.657788 0.863433 -0.291261 -0.411887 0.722687 0.472959 +0.368785 0.725018 -0.778217 0.863433 -0.291261 -0.411887 0.690226 0.419010 +0.352869 0.593997 -0.722752 0.871680 -0.277026 -0.404266 0.672925 0.505446 +0.368785 0.725018 -0.778217 0.871680 -0.277026 -0.404266 0.690226 0.419010 +0.398648 0.643241 -0.657788 0.871680 -0.277026 -0.404266 0.722687 0.472959 +0.368785 0.725018 -0.778217 0.622602 -0.367990 -0.690616 0.695881 0.131743 +0.352869 0.593997 -0.722752 0.622602 -0.367990 -0.690616 0.764689 0.186842 +0.294151 0.616429 -0.787640 0.622602 -0.367990 -0.690616 0.722205 0.236722 +0.294651 0.556844 -0.747369 0.576879 -0.454065 -0.678997 0.757364 0.254310 +0.294151 0.616429 -0.787640 0.576879 -0.454065 -0.678997 0.722205 0.236722 +0.352869 0.593997 -0.722752 0.576879 -0.454065 -0.678997 0.764689 0.186842 +0.294151 0.616429 -0.787640 0.392727 -0.512707 -0.763477 0.722205 0.236722 +0.294651 0.556844 -0.747369 0.392727 -0.512707 -0.763477 0.757364 0.254310 +0.229238 0.513438 -0.751868 0.392727 -0.512707 -0.763477 0.750107 0.330620 +0.233252 0.490942 -0.732483 0.414991 -0.550295 -0.724540 0.765293 0.333567 +0.229238 0.513438 -0.751868 0.414991 -0.550295 -0.724540 0.750107 0.330620 +0.294651 0.556844 -0.747369 0.414991 -0.550295 -0.724540 0.757364 0.254310 +0.219295 0.413224 -0.435004 -0.482210 0.052006 0.874511 0.431293 0.293413 +0.306654 0.449769 -0.389007 -0.482210 0.052006 0.874511 0.527053 0.314116 +0.210983 0.483240 -0.443751 -0.482210 0.052006 0.874511 0.443774 0.248032 +0.325815 0.553484 -0.384064 -0.483472 0.047662 0.874061 0.576173 0.262130 +0.210983 0.483240 -0.443751 -0.483472 0.047662 0.874061 0.443774 0.248032 +0.306654 0.449769 -0.389007 -0.483472 0.047662 0.874061 0.527053 0.314116 +0.165710 0.397867 -0.520333 -0.827783 -0.136015 0.544311 0.454410 0.371567 +0.219295 0.413224 -0.435004 -0.827783 -0.136015 0.544311 0.511074 0.388437 +0.153661 0.447830 -0.526172 -0.827783 -0.136015 0.544311 0.457362 0.336222 +0.210983 0.483240 -0.443751 -0.815729 -0.024642 0.577909 0.523555 0.343056 +0.153661 0.447830 -0.526172 -0.815729 -0.024642 0.577909 0.457362 0.336222 +0.219295 0.413224 -0.435004 -0.815729 -0.024642 0.577909 0.511074 0.388437 +0.165710 0.397867 -0.520333 -0.971899 -0.235275 -0.007640 0.882368 0.348755 +0.153661 0.447830 -0.526172 -0.971899 -0.235275 -0.007640 0.847075 0.345234 +0.166063 0.399052 -0.601729 -0.971899 -0.235275 -0.007640 0.881850 0.348055 +0.155519 0.446525 -0.617108 -0.974913 -0.221954 -0.016734 0.848768 0.343837 +0.166063 0.399052 -0.601729 -0.974913 -0.221954 -0.016734 0.881850 0.348055 +0.153661 0.447830 -0.526172 -0.974913 -0.221954 -0.016734 0.847075 0.345234 +0.166063 0.399052 -0.601729 -0.869184 -0.316208 -0.380173 0.455101 0.371038 +0.155519 0.446525 -0.617108 -0.869184 -0.316208 -0.380173 0.458787 0.337893 +0.185062 0.409151 -0.653566 -0.869184 -0.316208 -0.380173 0.476560 0.374270 +0.166408 0.448651 -0.689952 -0.838876 -0.525811 -0.140744 0.470010 0.341908 +0.185062 0.409151 -0.653566 -0.838876 -0.525811 -0.140744 0.476560 0.374270 +0.155519 0.446525 -0.617108 -0.838876 -0.525811 -0.140744 0.458787 0.337893 +0.185062 0.409151 -0.653566 -0.248900 -0.717166 -0.650939 0.476560 0.374270 +0.166408 0.448651 -0.689952 -0.248900 -0.717166 -0.650939 0.470010 0.341908 +0.236832 0.429808 -0.696120 -0.248900 -0.717166 -0.650939 0.533014 0.387130 +0.233252 0.490942 -0.732483 -0.209299 -0.508913 -0.834986 0.547492 0.349287 +0.236832 0.429808 -0.696120 -0.209299 -0.508913 -0.834986 0.533014 0.387130 +0.166408 0.448651 -0.689952 -0.209299 -0.508913 -0.834986 0.470010 0.341908 +0.332202 -0.000057 -0.734652 0.826664 0.324242 -0.459884 0.421567 0.099342 +0.326741 0.044831 -0.712820 0.826664 0.324242 -0.459884 0.445536 0.117718 +0.348796 0.000013 -0.704774 0.826664 0.324242 -0.459884 0.429557 0.083169 +0.346165 0.040981 -0.674416 0.850317 0.347487 -0.395238 0.452559 0.097645 +0.348796 0.000013 -0.704774 0.850317 0.347487 -0.395238 0.429557 0.083169 +0.326741 0.044831 -0.712820 0.850317 0.347487 -0.395238 0.445536 0.117718 +0.349110 0.000113 -0.655147 0.941759 -0.052468 0.332170 0.429766 0.082892 +0.342440 0.037392 -0.630348 0.941759 -0.052468 0.332170 0.448649 0.100237 +0.335244 0.000015 -0.615850 0.941759 -0.052468 0.332170 0.423067 0.096394 +0.318030 0.032404 -0.594901 0.817627 0.064505 0.572123 0.434004 0.122606 +0.335244 0.000015 -0.615850 0.817627 0.064505 0.572123 0.423067 0.096394 +0.342440 0.037392 -0.630348 0.817627 0.064505 0.572123 0.448649 0.100237 +0.278199 0.000015 -0.590617 -0.292674 -0.321686 0.900478 0.395745 0.152058 +0.278297 0.034141 -0.578394 -0.292674 -0.321686 0.900478 0.416002 0.161883 +0.222624 0.000015 -0.608680 -0.292674 -0.321686 0.900478 0.369126 0.206289 +0.236572 0.032913 -0.595297 -0.361143 -0.215923 0.907168 0.395290 0.202241 +0.222624 0.000015 -0.608680 -0.361143 -0.215923 0.907168 0.369126 0.206289 +0.278297 0.034141 -0.578394 -0.361143 -0.215923 0.907168 0.416002 0.161883 +0.200394 0.000015 -0.636211 -0.959861 0.225408 0.166908 0.443903 0.298254 +0.210457 0.037344 -0.628753 -0.959861 0.225408 0.166908 0.459374 0.320316 +0.189201 0.000015 -0.700580 -0.959861 0.225408 0.166908 0.431963 0.300595 +0.197789 0.037943 -0.683783 -0.967205 0.119821 0.223957 0.445937 0.323353 +0.189201 0.000015 -0.700580 -0.967205 0.119821 0.223957 0.431963 0.300595 +0.210457 0.037344 -0.628753 -0.967205 0.119821 0.223957 0.459374 0.320316 +0.272467 0.000036 -0.735551 -0.570486 0.265266 -0.777290 0.393012 0.157658 +0.273287 0.043570 -0.721296 -0.570486 0.265266 -0.777290 0.419186 0.169512 +0.295178 -0.000018 -0.752238 -0.570486 0.265266 -0.777290 0.403857 0.135481 +0.292682 0.046477 -0.727566 -0.335459 0.427457 -0.839492 0.430197 0.151432 +0.295178 -0.000018 -0.752238 -0.335459 0.427457 -0.839492 0.403857 0.135481 +0.273287 0.043570 -0.721296 -0.335459 0.427457 -0.839492 0.419186 0.169512 +0.295178 -0.000018 -0.752238 0.383791 0.448830 -0.807005 0.403857 0.135481 +0.292682 0.046477 -0.727566 0.383791 0.448830 -0.807005 0.430197 0.151432 +0.332202 -0.000057 -0.734652 0.383791 0.448830 -0.807005 0.421567 0.099342 +0.326741 0.044831 -0.712820 0.374299 0.442014 -0.815183 0.445536 0.117718 +0.332202 -0.000057 -0.734652 0.374299 0.442014 -0.815183 0.421567 0.099342 +0.292682 0.046477 -0.727566 0.374299 0.442014 -0.815183 0.430197 0.151432 +0.335244 0.000015 -0.615850 0.378581 -0.352364 0.855871 0.423067 0.096394 +0.318030 0.032404 -0.594901 0.378581 -0.352364 0.855871 0.434004 0.122606 +0.278199 0.000015 -0.590617 0.378581 -0.352364 0.855871 0.395745 0.152058 +0.278297 0.034141 -0.578394 0.352102 -0.316499 0.880825 0.416002 0.161883 +0.278199 0.000015 -0.590617 0.352102 -0.316499 0.880825 0.395745 0.152058 +0.318030 0.032404 -0.594901 0.352102 -0.316499 0.880825 0.434004 0.122606 +0.222624 0.000015 -0.608680 -0.775893 0.074099 0.626498 0.467615 0.293606 +0.236572 0.032913 -0.595297 -0.775893 0.074099 0.626498 0.486669 0.311987 +0.200394 0.000015 -0.636211 -0.775893 0.074099 0.626498 0.443903 0.298254 +0.210457 0.037344 -0.628753 -0.779763 0.086316 0.620097 0.459374 0.320316 +0.200394 0.000015 -0.636211 -0.779763 0.086316 0.620097 0.443903 0.298254 +0.236572 0.032913 -0.595297 -0.779763 0.086316 0.620097 0.486669 0.311987 +0.208629 0.000015 -0.741017 -0.312420 0.367681 -0.875902 0.452687 0.296532 +0.218227 0.045824 -0.725211 -0.312420 0.367681 -0.875902 0.468738 0.324182 +0.248955 0.000014 -0.755401 -0.312420 0.367681 -0.875902 0.495703 0.288100 +0.253455 0.046138 -0.733264 -0.203873 0.439699 -0.874700 0.506356 0.317018 +0.248955 0.000014 -0.755401 -0.203873 0.439699 -0.874700 0.495703 0.288100 +0.218227 0.045824 -0.725211 -0.203873 0.439699 -0.874700 0.468738 0.324182 +0.348796 0.000013 -0.704774 0.997606 0.068847 -0.006451 0.429557 0.083169 +0.346165 0.040981 -0.674416 0.997606 0.068847 -0.006451 0.452559 0.097645 +0.349110 0.000113 -0.655147 0.997606 0.068847 -0.006451 0.429766 0.082892 +0.342440 0.037392 -0.630348 0.988993 0.115104 0.092972 0.448649 0.100237 +0.349110 0.000113 -0.655147 0.988993 0.115104 0.092972 0.429766 0.082892 +0.346165 0.040981 -0.674416 0.988993 0.115104 0.092972 0.452559 0.097645 +0.189201 0.000015 -0.700580 -0.838080 0.368089 -0.402657 0.431963 0.300595 +0.197789 0.037943 -0.683783 -0.838080 0.368089 -0.402657 0.445937 0.323353 +0.208629 0.000015 -0.741017 -0.838080 0.368089 -0.402657 0.452687 0.296532 +0.218227 0.045824 -0.725211 -0.874346 0.311576 -0.372075 0.468738 0.324182 +0.208629 0.000015 -0.741017 -0.874346 0.311576 -0.372075 0.452687 0.296532 +0.197789 0.037943 -0.683783 -0.874346 0.311576 -0.372075 0.445937 0.323353 +0.248955 0.000014 -0.755401 0.617068 0.290746 -0.731228 0.381737 0.180595 +0.253455 0.046138 -0.733264 0.617068 0.290746 -0.731228 0.411208 0.189611 +0.272467 0.000036 -0.735551 0.617068 0.290746 -0.731228 0.393012 0.157658 +0.273287 0.043570 -0.721296 0.523537 0.256210 -0.812568 0.419186 0.169512 +0.272467 0.000036 -0.735551 0.523537 0.256210 -0.812568 0.393012 0.157658 +0.253455 0.046138 -0.733264 0.523537 0.256210 -0.812568 0.411208 0.189611 +0.355280 0.307759 -0.513678 0.888962 -0.411718 -0.200587 0.518619 0.244540 +0.333531 0.271928 -0.536520 0.888962 -0.411718 -0.200587 0.486982 0.255347 +0.348767 0.311345 -0.549903 0.888962 -0.411718 -0.200587 0.517622 0.251938 +0.328640 0.275564 -0.560919 0.875997 -0.419446 -0.238107 0.486792 0.261177 +0.348767 0.311345 -0.549903 0.875997 -0.419446 -0.238107 0.517622 0.251938 +0.333531 0.271928 -0.536520 0.875997 -0.419446 -0.238107 0.486982 0.255347 +0.284307 0.300945 -0.461223 0.354041 -0.718875 0.598225 0.480589 0.311815 +0.281603 0.271164 -0.495410 0.354041 -0.718875 0.598225 0.461658 0.305796 +0.337312 0.305082 -0.487621 0.354041 -0.718875 0.598225 0.508427 0.261295 +0.321012 0.269870 -0.513381 0.297688 -0.649593 0.699579 0.479766 0.266965 +0.337312 0.305082 -0.487621 0.297688 -0.649593 0.699579 0.508427 0.261295 +0.281603 0.271164 -0.495410 0.297688 -0.649593 0.699579 0.461658 0.305796 +0.196859 0.303928 -0.533913 -0.587738 -0.622099 0.517259 0.536767 0.319773 +0.218390 0.270212 -0.549998 -0.587738 -0.622099 0.517259 0.527113 0.288963 +0.237075 0.304912 -0.487034 -0.587738 -0.622099 0.517259 0.556612 0.280816 +0.246942 0.267732 -0.515169 -0.661708 -0.556129 0.502854 0.539320 0.260380 +0.237075 0.304912 -0.487034 -0.661708 -0.556129 0.502854 0.556612 0.280816 +0.218390 0.270212 -0.549998 -0.661708 -0.556129 0.502854 0.527113 0.288963 +0.276524 0.326774 -0.635578 0.267540 -0.263091 -0.926934 0.588454 0.248677 +0.276764 0.286603 -0.624107 0.267540 -0.263091 -0.926934 0.564779 0.236766 +0.249547 0.327400 -0.643542 0.267540 -0.263091 -0.926934 0.575904 0.275183 +0.256416 0.286227 -0.624547 0.027334 -0.414994 -0.909414 0.554811 0.256512 +0.249547 0.327400 -0.643542 0.027334 -0.414994 -0.909414 0.575904 0.275183 +0.276764 0.286603 -0.624107 0.027334 -0.414994 -0.909414 0.564779 0.236766 +0.319099 0.323902 -0.611475 0.474208 -0.188220 -0.860058 0.607145 0.206298 +0.307727 0.283631 -0.608932 0.474208 -0.188220 -0.860058 0.577849 0.205689 +0.276524 0.326774 -0.635578 0.474208 -0.188220 -0.860058 0.588454 0.248677 +0.276764 0.286603 -0.624107 0.406934 -0.248567 -0.878988 0.564779 0.236766 +0.276524 0.326774 -0.635578 0.406934 -0.248567 -0.878988 0.588454 0.248677 +0.307727 0.283631 -0.608932 0.406934 -0.248567 -0.878988 0.577849 0.205689 +0.343097 0.315867 -0.581914 0.717962 -0.248221 -0.650320 0.517585 0.258785 +0.324505 0.280399 -0.588902 0.717962 -0.248221 -0.650320 0.487675 0.266617 +0.319099 0.323902 -0.611475 0.717962 -0.248221 -0.650320 0.510849 0.284539 +0.307727 0.283631 -0.608932 0.723397 -0.245038 -0.645487 0.481553 0.283929 +0.319099 0.323902 -0.611475 0.723397 -0.245038 -0.645487 0.510849 0.284539 +0.324505 0.280399 -0.588902 0.723397 -0.245038 -0.645487 0.487675 0.266617 +0.337312 0.305082 -0.487621 0.679453 -0.611339 0.405720 0.508427 0.261295 +0.321012 0.269870 -0.513381 0.679453 -0.611339 0.405720 0.479766 0.266965 +0.355280 0.307759 -0.513678 0.679453 -0.611339 0.405720 0.518619 0.244540 +0.333531 0.271928 -0.536520 0.702916 -0.633201 0.323985 0.486982 0.255347 +0.355280 0.307759 -0.513678 0.702916 -0.633201 0.323985 0.518619 0.244540 +0.321012 0.269870 -0.513381 0.702916 -0.633201 0.323985 0.479766 0.266965 +0.237075 0.304912 -0.487034 -0.416890 -0.616250 0.668161 0.556612 0.280816 +0.246942 0.267732 -0.515169 -0.416890 -0.616250 0.668161 0.539320 0.260380 +0.284307 0.300945 -0.461223 -0.416890 -0.616250 0.668161 0.576885 0.233575 +0.281603 0.271164 -0.495410 -0.295095 -0.708764 0.640760 0.557954 0.227556 +0.284307 0.300945 -0.461223 -0.295095 -0.708764 0.640760 0.576885 0.233575 +0.246942 0.267732 -0.515169 -0.295095 -0.708764 0.640760 0.539320 0.260380 +0.215880 0.327812 -0.635772 -0.679394 -0.537486 -0.499533 0.560023 0.308155 +0.232976 0.284542 -0.612466 -0.679394 -0.537486 -0.499533 0.542586 0.278895 +0.198140 0.314314 -0.597121 -0.679394 -0.537486 -0.499533 0.543532 0.321542 +0.220666 0.278731 -0.594124 -0.658801 -0.466752 -0.590021 0.533248 0.289218 +0.198140 0.314314 -0.597121 -0.658801 -0.466752 -0.590021 0.543532 0.321542 +0.232976 0.284542 -0.612466 -0.658801 -0.466752 -0.590021 0.542586 0.278895 +0.348767 0.311345 -0.549903 0.877923 -0.427374 -0.215876 0.517622 0.251938 +0.328640 0.275564 -0.560919 0.877923 -0.427374 -0.215876 0.486792 0.261177 +0.343097 0.315867 -0.581914 0.877923 -0.427374 -0.215876 0.517585 0.258785 +0.324505 0.280399 -0.588902 0.883071 -0.422795 -0.203542 0.487675 0.266617 +0.343097 0.315867 -0.581914 0.883071 -0.422795 -0.203542 0.517585 0.258785 +0.328640 0.275564 -0.560919 0.883071 -0.422795 -0.203542 0.486792 0.261177 +0.198140 0.314314 -0.597121 -0.836185 -0.538227 -0.105385 0.543532 0.321542 +0.220666 0.278731 -0.594124 -0.836185 -0.538227 -0.105385 0.533248 0.289218 +0.196859 0.303928 -0.533913 -0.836185 -0.538227 -0.105385 0.536767 0.319773 +0.218390 0.270212 -0.549998 -0.863315 -0.485364 -0.138234 0.527113 0.288963 +0.196859 0.303928 -0.533913 -0.863315 -0.485364 -0.138234 0.536767 0.319773 +0.220666 0.278731 -0.594124 -0.863315 -0.485364 -0.138234 0.533248 0.289218 +0.249547 0.327400 -0.643542 -0.207234 -0.438115 -0.874705 0.575904 0.275183 +0.256416 0.286227 -0.624547 -0.207234 -0.438115 -0.874705 0.554811 0.256512 +0.215880 0.327812 -0.635772 -0.207234 -0.438115 -0.874705 0.560023 0.308155 +0.232976 0.284542 -0.612466 -0.351820 -0.547826 -0.759019 0.542586 0.278895 +0.215880 0.327812 -0.635772 -0.351820 -0.547826 -0.759019 0.560023 0.308155 +0.256416 0.286227 -0.624547 -0.351820 -0.547826 -0.759019 0.554811 0.256512 +0.326741 0.044831 -0.712820 0.825396 0.421856 -0.375178 0.463807 0.271522 +0.321164 0.079581 -0.686016 0.825396 0.421856 -0.375178 0.462267 0.295185 +0.346165 0.040981 -0.674416 0.825396 0.421856 -0.375178 0.484038 0.264969 +0.336374 0.079227 -0.647740 0.834880 0.442275 -0.327671 0.478447 0.291776 +0.346165 0.040981 -0.674416 0.834880 0.442275 -0.327671 0.484038 0.264969 +0.321164 0.079581 -0.686016 0.834880 0.442275 -0.327671 0.462267 0.295185 +0.342440 0.037392 -0.630348 0.815426 -0.236809 0.528207 0.448649 0.100237 +0.335166 0.075203 -0.602167 0.815426 -0.236809 0.528207 0.467557 0.118326 +0.318030 0.032404 -0.594901 0.815426 -0.236809 0.528207 0.434004 0.122606 +0.314000 0.068947 -0.565151 0.855325 -0.267090 0.443940 0.453715 0.137162 +0.318030 0.032404 -0.594901 0.855325 -0.267090 0.443940 0.434004 0.122606 +0.335166 0.075203 -0.602167 0.855325 -0.267090 0.443940 0.467557 0.118326 +0.278297 0.034141 -0.578394 -0.293671 -0.571266 0.766428 0.416002 0.161883 +0.278717 0.063563 -0.556303 -0.293671 -0.571266 0.766428 0.433627 0.170025 +0.236572 0.032913 -0.595297 -0.293671 -0.571266 0.766428 0.395290 0.202241 +0.242148 0.068614 -0.565654 -0.275654 -0.588214 0.760276 0.419103 0.207178 +0.236572 0.032913 -0.595297 -0.275654 -0.588214 0.760276 0.395290 0.202241 +0.278717 0.063563 -0.556303 -0.275654 -0.588214 0.760276 0.433627 0.170025 +0.210457 0.037344 -0.628753 -0.973631 0.040135 0.224569 0.385406 0.229012 +0.214653 0.076847 -0.617621 -0.973631 0.040135 0.224569 0.410810 0.236401 +0.197789 0.037943 -0.683783 -0.973631 0.040135 0.224569 0.379693 0.241548 +0.209417 0.081436 -0.666078 -0.970028 0.208629 0.124574 0.411019 0.242844 +0.197789 0.037943 -0.683783 -0.970028 0.208629 0.124574 0.379693 0.241548 +0.214653 0.076847 -0.617621 -0.970028 0.208629 0.124574 0.410810 0.236401 +0.273287 0.043570 -0.721296 -0.335619 0.381786 -0.861162 0.419186 0.169512 +0.274078 0.077441 -0.706588 -0.335619 0.381786 -0.861162 0.439624 0.178587 +0.292682 0.046477 -0.727566 -0.335619 0.381786 -0.861162 0.430197 0.151432 +0.291303 0.077706 -0.704382 0.092960 0.596143 -0.797479 0.448031 0.161855 +0.292682 0.046477 -0.727566 0.092960 0.596143 -0.797479 0.430197 0.151432 +0.274078 0.077441 -0.706588 0.092960 0.596143 -0.797479 0.439624 0.178587 +0.292682 0.046477 -0.727566 0.349892 0.568314 -0.744711 0.430197 0.151432 +0.291303 0.077706 -0.704382 0.349892 0.568314 -0.744711 0.448031 0.161855 +0.326741 0.044831 -0.712820 0.349892 0.568314 -0.744711 0.445536 0.117718 +0.321164 0.079581 -0.686016 0.391162 0.600633 -0.697303 0.463444 0.133262 +0.326741 0.044831 -0.712820 0.391162 0.600633 -0.697303 0.445536 0.117718 +0.291303 0.077706 -0.704382 0.391162 0.600633 -0.697303 0.448031 0.161855 +0.318030 0.032404 -0.594901 0.289224 -0.584978 0.757727 0.434004 0.122606 +0.314000 0.068947 -0.565151 0.289224 -0.584978 0.757727 0.453715 0.137162 +0.278297 0.034141 -0.578394 0.289224 -0.584978 0.757727 0.416002 0.161883 +0.278717 0.063563 -0.556303 0.280350 -0.578903 0.765686 0.433627 0.170025 +0.278297 0.034141 -0.578394 0.280350 -0.578903 0.765686 0.416002 0.161883 +0.314000 0.068947 -0.565151 0.280350 -0.578903 0.765686 0.453715 0.137162 +0.236572 0.032913 -0.595297 -0.763040 -0.338179 0.550822 0.395290 0.202241 +0.242148 0.068614 -0.565654 -0.763040 -0.338179 0.550822 0.419103 0.207178 +0.210457 0.037344 -0.628753 -0.763040 -0.338179 0.550822 0.385406 0.229012 +0.214653 0.076847 -0.617621 -0.885692 -0.036353 0.462848 0.410810 0.236401 +0.210457 0.037344 -0.628753 -0.885692 -0.036353 0.462848 0.385406 0.229012 +0.242148 0.068614 -0.565654 -0.885692 -0.036353 0.462848 0.419103 0.207178 +0.218227 0.045824 -0.725211 -0.182410 0.605922 -0.774329 0.394149 0.223896 +0.227787 0.078069 -0.702231 -0.182410 0.605922 -0.774329 0.417824 0.223940 +0.253455 0.046138 -0.733264 -0.182410 0.605922 -0.774329 0.411208 0.189611 +0.255760 0.077899 -0.710602 -0.231108 0.576159 -0.783984 0.431121 0.196594 +0.253455 0.046138 -0.733264 -0.231108 0.576159 -0.783984 0.411208 0.189611 +0.227787 0.078069 -0.702231 -0.231108 0.576159 -0.783984 0.417824 0.223940 +0.346165 0.040981 -0.674416 0.978369 0.182419 0.097556 0.484038 0.264969 +0.336374 0.079227 -0.647740 0.978369 0.182419 0.097556 0.478447 0.291776 +0.342440 0.037392 -0.630348 0.978369 0.182419 0.097556 0.479609 0.263424 +0.335166 0.075203 -0.602167 0.986337 0.159750 0.040251 0.476648 0.289423 +0.342440 0.037392 -0.630348 0.986337 0.159750 0.040251 0.479609 0.263424 +0.336374 0.079227 -0.647740 0.986337 0.159750 0.040251 0.478447 0.291776 +0.197789 0.037943 -0.683783 -0.858291 0.372953 -0.352479 0.379693 0.241548 +0.209417 0.081436 -0.666078 -0.858291 0.372953 -0.352479 0.411019 0.242844 +0.218227 0.045824 -0.725211 -0.858291 0.372953 -0.352479 0.394149 0.223896 +0.227787 0.078069 -0.702231 -0.739852 0.521907 -0.424538 0.417824 0.223940 +0.218227 0.045824 -0.725211 -0.739852 0.521907 -0.424538 0.394149 0.223896 +0.209417 0.081436 -0.666078 -0.739852 0.521907 -0.424538 0.411019 0.242844 +0.253455 0.046138 -0.733264 0.498109 0.479397 -0.722542 0.411208 0.189611 +0.255760 0.077899 -0.710602 0.498109 0.479397 -0.722542 0.431121 0.196594 +0.273287 0.043570 -0.721296 0.498109 0.479397 -0.722542 0.419186 0.169512 +0.274078 0.077441 -0.706588 0.206684 0.385640 -0.899202 0.439624 0.178587 +0.273287 0.043570 -0.721296 0.206684 0.385640 -0.899202 0.419186 0.169512 +0.255760 0.077899 -0.710602 0.206684 0.385640 -0.899202 0.431121 0.196594 +0.321164 0.079581 -0.686016 0.836166 0.439436 -0.328209 0.367147 0.211503 +0.314822 0.112631 -0.657923 0.836166 0.439436 -0.328209 0.383683 0.227299 +0.336374 0.079227 -0.647740 0.836166 0.439436 -0.328209 0.374223 0.196558 +0.327569 0.112006 -0.625240 0.837834 0.443536 -0.318291 0.389418 0.214679 +0.336374 0.079227 -0.647740 0.837834 0.443536 -0.318291 0.374223 0.196558 +0.314822 0.112631 -0.657923 0.837834 0.443536 -0.318291 0.383683 0.227299 +0.335166 0.075203 -0.602167 0.871031 -0.070616 0.486126 0.476648 0.289423 +0.330532 0.108363 -0.589047 0.871031 -0.070616 0.486126 0.475913 0.311860 +0.314000 0.068947 -0.565151 0.871031 -0.070616 0.486126 0.453275 0.289799 +0.308093 0.092603 -0.551433 0.868999 -0.067282 0.490219 0.449976 0.306349 +0.314000 0.068947 -0.565151 0.868999 -0.067282 0.490219 0.453275 0.289799 +0.330532 0.108363 -0.589047 0.868999 -0.067282 0.490219 0.475913 0.311860 +0.278717 0.063563 -0.556303 -0.263787 -0.718620 0.643430 0.433627 0.170025 +0.279132 0.087386 -0.529526 -0.263787 -0.718620 0.643430 0.447934 0.176546 +0.242148 0.068614 -0.565654 -0.263787 -0.718620 0.643430 0.419103 0.207178 +0.247016 0.092951 -0.552736 -0.593623 -0.281441 0.753925 0.435847 0.209502 +0.242148 0.068614 -0.565654 -0.593623 -0.281441 0.753925 0.419103 0.207178 +0.279132 0.087386 -0.529526 -0.593623 -0.281441 0.753925 0.447934 0.176546 +0.214653 0.076847 -0.617621 -0.987844 0.102932 0.116489 0.410810 0.236401 +0.219397 0.110780 -0.607375 -0.987844 0.102932 0.116489 0.433178 0.241635 +0.209417 0.081436 -0.666078 -0.987844 0.102932 0.116489 0.411019 0.242844 +0.222420 0.114268 -0.652138 -0.924390 0.380034 -0.032815 0.436691 0.239699 +0.209417 0.081436 -0.666078 -0.924390 0.380034 -0.032815 0.411019 0.242844 +0.219397 0.110780 -0.607375 -0.924390 0.380034 -0.032815 0.433178 0.241635 +0.274078 0.077441 -0.706588 0.089622 0.625626 -0.774958 0.411768 0.303646 +0.273587 0.111205 -0.679387 0.089622 0.625626 -0.774958 0.415530 0.325607 +0.291303 0.077706 -0.704382 0.089622 0.625626 -0.774958 0.430176 0.300215 +0.291509 0.113187 -0.674280 0.144390 0.639672 -0.754964 0.434899 0.323142 +0.291303 0.077706 -0.704382 0.144390 0.639672 -0.754964 0.430176 0.300215 +0.273587 0.111205 -0.679387 0.144390 0.639672 -0.754964 0.415530 0.325607 +0.291303 0.077706 -0.704382 0.394427 0.593157 -0.701849 0.430176 0.300215 +0.291509 0.113187 -0.674280 0.394427 0.593157 -0.701849 0.434899 0.323142 +0.321164 0.079581 -0.686016 0.394427 0.593157 -0.701849 0.462267 0.295185 +0.314822 0.112631 -0.657923 0.458263 0.625060 -0.631898 0.459696 0.317908 +0.321164 0.079581 -0.686016 0.458263 0.625060 -0.631898 0.462267 0.295185 +0.291509 0.113187 -0.674280 0.458263 0.625060 -0.631898 0.434899 0.323142 +0.314000 0.068947 -0.565151 0.280742 -0.428051 0.859044 0.453715 0.137162 +0.308093 0.092603 -0.551433 0.280742 -0.428051 0.859044 0.464895 0.149802 +0.278717 0.063563 -0.556303 0.280742 -0.428051 0.859044 0.433627 0.170025 +0.279132 0.087386 -0.529526 0.535510 -0.635065 0.556706 0.447934 0.176546 +0.278717 0.063563 -0.556303 0.535510 -0.635065 0.556706 0.433627 0.170025 +0.308093 0.092603 -0.551433 0.535510 -0.635065 0.556706 0.464895 0.149802 +0.242148 0.068614 -0.565654 -0.886265 -0.066065 0.458443 0.419103 0.207178 +0.247016 0.092951 -0.552736 -0.886265 -0.066065 0.458443 0.435847 0.209502 +0.214653 0.076847 -0.617621 -0.886265 -0.066065 0.458443 0.410810 0.236401 +0.219397 0.110780 -0.607375 -0.893780 -0.010434 0.448384 0.433178 0.241635 +0.214653 0.076847 -0.617621 -0.893780 -0.010434 0.448384 0.410810 0.236401 +0.247016 0.092951 -0.552736 -0.893780 -0.010434 0.448384 0.435847 0.209502 +0.227787 0.078069 -0.702231 -0.195002 0.719784 -0.666247 0.417824 0.223940 +0.233185 0.111233 -0.667982 -0.195002 0.719784 -0.666247 0.440049 0.228313 +0.255760 0.077899 -0.710602 -0.195002 0.719784 -0.666247 0.431121 0.196594 +0.257647 0.108988 -0.677363 -0.188742 0.722529 -0.665078 0.450436 0.203790 +0.255760 0.077899 -0.710602 -0.188742 0.722529 -0.665078 0.431121 0.196594 +0.233185 0.111233 -0.667982 -0.188742 0.722529 -0.665078 0.440049 0.228313 +0.336374 0.079227 -0.647740 0.972207 0.229550 0.046039 0.374223 0.196558 +0.327569 0.112006 -0.625240 0.972207 0.229550 0.046039 0.389418 0.214679 +0.335166 0.075203 -0.602167 0.972207 0.229550 0.046039 0.371261 0.196567 +0.330532 0.108363 -0.589047 0.984538 0.162985 -0.064196 0.388680 0.210728 +0.335166 0.075203 -0.602167 0.984538 0.162985 -0.064196 0.371261 0.196567 +0.327569 0.112006 -0.625240 0.984538 0.162985 -0.064196 0.389418 0.214679 +0.209417 0.081436 -0.666078 -0.760786 0.484601 -0.431701 0.411019 0.242844 +0.222420 0.114268 -0.652138 -0.760786 0.484601 -0.431701 0.436691 0.239699 +0.227787 0.078069 -0.702231 -0.760786 0.484601 -0.431701 0.417824 0.223940 +0.233185 0.111233 -0.667982 -0.582620 0.627835 -0.516118 0.440049 0.228313 +0.227787 0.078069 -0.702231 -0.582620 0.627835 -0.516118 0.417824 0.223940 +0.222420 0.114268 -0.652138 -0.582620 0.627835 -0.516118 0.436691 0.239699 +0.255760 0.077899 -0.710602 0.166583 0.715392 -0.678575 0.431121 0.196594 +0.257647 0.108988 -0.677363 0.166583 0.715392 -0.678575 0.450436 0.203790 +0.274078 0.077441 -0.706588 0.166583 0.715392 -0.678575 0.439624 0.178587 +0.273587 0.111205 -0.679387 -0.182935 0.615159 -0.766886 0.459385 0.188880 +0.274078 0.077441 -0.706588 -0.182935 0.615159 -0.766886 0.439624 0.178587 +0.257647 0.108988 -0.677363 -0.182935 0.615159 -0.766886 0.450436 0.203790 +0.295178 -0.000018 -0.752238 -0.001573 -0.999998 0.001095 0.545005 0.278413 +0.332202 -0.000057 -0.734652 -0.001573 -0.999998 0.001095 0.584494 0.270646 +0.272467 0.000036 -0.735551 -0.001573 -0.999998 0.001095 0.520787 0.283197 +0.248955 0.000014 -0.755401 0.000260 -1.000000 0.000800 0.495703 0.288100 +0.272467 0.000036 -0.735551 0.000260 -1.000000 0.000800 0.520787 0.283197 +0.208629 0.000015 -0.741017 0.000260 -1.000000 0.000800 0.452687 0.296532 +0.189201 0.000015 -0.700580 0.000000 -1.000000 0.000000 0.431963 0.300595 +0.208629 0.000015 -0.741017 0.000000 -1.000000 0.000000 0.452687 0.296532 +0.200394 0.000015 -0.636211 0.000000 -1.000000 0.000000 0.443903 0.298254 +0.208629 0.000015 -0.741017 0.000327 -1.000000 0.000026 0.452687 0.296532 +0.272467 0.000036 -0.735551 0.000327 -1.000000 0.000026 0.520787 0.283197 +0.200394 0.000015 -0.636211 0.000327 -1.000000 0.000026 0.443903 0.298254 +0.222624 0.000015 -0.608680 0.000000 -1.000000 0.000000 0.467615 0.293606 +0.278199 0.000015 -0.590617 0.000000 -1.000000 0.000000 0.526898 0.281985 +0.335244 0.000015 -0.615850 -0.001307 -0.999995 -0.002955 0.587749 0.270057 +0.278199 0.000015 -0.590617 -0.001307 -0.999995 -0.002955 0.526898 0.281985 +0.349110 0.000113 -0.655147 -0.001307 -0.999995 -0.002955 0.602552 0.267221 +0.278199 0.000015 -0.590617 0.000541 -0.999999 -0.000924 0.526898 0.281985 +0.200394 0.000015 -0.636211 0.000541 -0.999999 -0.000924 0.443903 0.298254 +0.349110 0.000113 -0.655147 0.000541 -0.999999 -0.000924 0.602552 0.267221 +0.200394 0.000015 -0.636211 0.000696 -1.000000 0.000294 0.443903 0.298254 +0.272467 0.000036 -0.735551 0.000696 -1.000000 0.000294 0.520787 0.283197 +0.349110 0.000113 -0.655147 0.000696 -1.000000 0.000294 0.602552 0.267221 +0.272467 0.000036 -0.735551 -0.001594 -0.999996 0.002477 0.520787 0.283197 +0.332202 -0.000057 -0.734652 -0.001594 -0.999996 0.002477 0.584494 0.270646 +0.349110 0.000113 -0.655147 -0.001594 -0.999996 0.002477 0.602552 0.267221 +0.349110 0.000113 -0.655147 0.000597 -0.999998 0.002011 0.602552 0.267221 +0.332202 -0.000057 -0.734652 0.000597 -0.999998 0.002011 0.584494 0.270646 +0.348796 0.000013 -0.704774 0.000597 -0.999998 0.002011 0.602204 0.267222 +0.314822 0.112631 -0.657923 0.869467 0.365684 -0.332117 0.383683 0.227299 +0.309583 0.151638 -0.628689 0.869467 0.365684 -0.332117 0.404274 0.243749 +0.327569 0.112006 -0.625240 0.869467 0.365684 -0.332117 0.389418 0.214679 +0.318454 0.149689 -0.607310 0.870691 0.366610 -0.327863 0.407369 0.234526 +0.327569 0.112006 -0.625240 0.870691 0.366610 -0.327863 0.389418 0.214679 +0.309583 0.151638 -0.628689 0.870691 0.366610 -0.327863 0.404274 0.243749 +0.330532 0.108363 -0.589047 0.844219 0.067175 0.531773 0.388680 0.210728 +0.321219 0.146115 -0.579031 0.844219 0.067175 0.531773 0.406576 0.230789 +0.308093 0.092603 -0.551433 0.844219 0.067175 0.531773 0.368599 0.228043 +0.303818 0.141994 -0.553183 0.819319 0.090973 0.566074 0.395802 0.246571 +0.308093 0.092603 -0.551433 0.819319 0.090973 0.566074 0.368599 0.228043 +0.321219 0.146115 -0.579031 0.819319 0.090973 0.566074 0.406576 0.230789 +0.279132 0.087386 -0.529526 -0.557662 0.170151 0.812442 0.418421 0.309027 +0.279028 0.138857 -0.540377 -0.557662 0.170151 0.812442 0.424842 0.342370 +0.247016 0.092951 -0.552736 -0.557662 0.170151 0.812442 0.384869 0.319345 +0.249190 0.142482 -0.549680 -0.302374 -0.045472 0.952104 0.393474 0.350957 +0.247016 0.092951 -0.552736 -0.302374 -0.045472 0.952104 0.384869 0.319345 +0.279028 0.138857 -0.540377 -0.302374 -0.045472 0.952104 0.424842 0.342370 +0.219397 0.110780 -0.607375 -0.964849 0.258926 -0.044984 0.433178 0.241635 +0.229231 0.149052 -0.598010 -0.964849 0.258926 -0.044984 0.460553 0.243164 +0.222420 0.114268 -0.652138 -0.964849 0.258926 -0.044984 0.436691 0.239699 +0.232306 0.151996 -0.634170 -0.958450 0.279139 -0.058779 0.463769 0.241020 +0.222420 0.114268 -0.652138 -0.958450 0.279139 -0.058779 0.436691 0.239699 +0.229231 0.149052 -0.598010 -0.958450 0.279139 -0.058779 0.460553 0.243164 +0.273587 0.111205 -0.679387 0.184419 0.505015 -0.843178 0.415530 0.325607 +0.273842 0.155061 -0.653064 0.184419 0.505015 -0.843178 0.421367 0.353946 +0.291509 0.113187 -0.674280 0.184419 0.505015 -0.843178 0.434899 0.323142 +0.294872 0.153510 -0.646012 0.304538 0.529607 -0.791690 0.443603 0.348543 +0.291509 0.113187 -0.674280 0.304538 0.529607 -0.791690 0.434899 0.323142 +0.273842 0.155061 -0.653064 0.304538 0.529607 -0.791690 0.421367 0.353946 +0.291509 0.113187 -0.674280 0.516697 0.462158 -0.720718 0.372846 0.250209 +0.294872 0.153510 -0.646012 0.516697 0.462158 -0.720718 0.398336 0.258648 +0.314822 0.112631 -0.657923 0.516697 0.462158 -0.720718 0.383683 0.227299 +0.309583 0.151638 -0.628689 0.689306 0.491484 -0.532259 0.404274 0.243749 +0.314822 0.112631 -0.657923 0.689306 0.491484 -0.532259 0.383683 0.227299 +0.294872 0.153510 -0.646012 0.689306 0.491484 -0.532259 0.398336 0.258648 +0.308093 0.092603 -0.551433 0.592193 0.079668 0.801848 0.449976 0.306349 +0.303818 0.141994 -0.553183 0.592193 0.079668 0.801848 0.451685 0.339218 +0.279132 0.087386 -0.529526 0.592193 0.079668 0.801848 0.418421 0.309027 +0.279028 0.138857 -0.540377 0.432106 0.186868 0.882250 0.424842 0.342370 +0.279132 0.087386 -0.529526 0.432106 0.186868 0.882250 0.418421 0.309027 +0.303818 0.141994 -0.553183 0.432106 0.186868 0.882250 0.451685 0.339218 +0.247016 0.092951 -0.552736 -0.890945 0.011096 0.453976 0.435847 0.209502 +0.249190 0.142482 -0.549680 -0.890945 0.011096 0.453976 0.466222 0.221779 +0.219397 0.110780 -0.607375 -0.890945 0.011096 0.453976 0.433178 0.241635 +0.229231 0.149052 -0.598010 -0.908838 0.137124 0.393967 0.460553 0.243164 +0.219397 0.110780 -0.607375 -0.908838 0.137124 0.393967 0.433178 0.241635 +0.249190 0.142482 -0.549680 -0.908838 0.137124 0.393967 0.466222 0.221779 +0.233185 0.111233 -0.667982 -0.267216 0.508574 -0.818504 0.440049 0.228313 +0.241496 0.153820 -0.644234 -0.267216 0.508574 -0.818504 0.469251 0.232583 +0.257647 0.108988 -0.677363 -0.267216 0.508574 -0.818504 0.450436 0.203790 +0.256660 0.154840 -0.650004 -0.340498 0.476363 -0.810641 0.477118 0.218082 +0.257647 0.108988 -0.677363 -0.340498 0.476363 -0.810641 0.450436 0.203790 +0.241496 0.153820 -0.644234 -0.340498 0.476363 -0.810641 0.469251 0.232583 +0.327569 0.112006 -0.625240 0.964558 0.258506 -0.052945 0.389418 0.214679 +0.318454 0.149689 -0.607310 0.964558 0.258506 -0.052945 0.407369 0.234526 +0.330532 0.108363 -0.589047 0.964558 0.258506 -0.052945 0.388680 0.210728 +0.321219 0.146115 -0.579031 0.965054 0.254567 -0.062186 0.406576 0.230789 +0.330532 0.108363 -0.589047 0.965054 0.254567 -0.062186 0.388680 0.210728 +0.318454 0.149689 -0.607310 0.965054 0.254567 -0.062186 0.407369 0.234526 +0.222420 0.114268 -0.652138 -0.696756 0.448992 -0.559408 0.436691 0.239699 +0.232306 0.151996 -0.634170 -0.696756 0.448992 -0.559408 0.463769 0.241020 +0.233185 0.111233 -0.667982 -0.696756 0.448992 -0.559408 0.440049 0.228313 +0.241496 0.153820 -0.644234 -0.699322 0.447362 -0.557509 0.469251 0.232583 +0.233185 0.111233 -0.667982 -0.699322 0.447362 -0.557509 0.440049 0.228313 +0.232306 0.151996 -0.634170 -0.699322 0.447362 -0.557509 0.463769 0.241020 +0.257647 0.108988 -0.677363 -0.177272 0.501465 -0.846822 0.398244 0.327504 +0.256660 0.154840 -0.650004 -0.177272 0.501465 -0.846822 0.403010 0.357395 +0.273587 0.111205 -0.679387 -0.177272 0.501465 -0.846822 0.415530 0.325607 +0.273842 0.155061 -0.653064 -0.157272 0.508898 -0.846338 0.421367 0.353946 +0.273587 0.111205 -0.679387 -0.157272 0.508898 -0.846338 0.415530 0.325607 +0.256660 0.154840 -0.650004 -0.157272 0.508898 -0.846338 0.403010 0.357395 +0.333531 0.271928 -0.536520 0.956267 -0.192348 -0.220356 0.486982 0.255347 +0.325592 0.241357 -0.544287 0.956267 -0.192348 -0.220356 0.465075 0.254208 +0.328640 0.275564 -0.560919 0.956267 -0.192348 -0.220356 0.486792 0.261177 +0.320785 0.245758 -0.569750 0.958400 -0.189276 -0.213646 0.465378 0.260178 +0.328640 0.275564 -0.560919 0.958400 -0.189276 -0.213646 0.486792 0.261177 +0.325592 0.241357 -0.544287 0.958400 -0.189276 -0.213646 0.465075 0.254208 +0.281603 0.271164 -0.495410 0.387705 -0.299497 0.871772 0.461658 0.305796 +0.281356 0.237638 -0.506818 0.387705 -0.299497 0.871772 0.441685 0.296292 +0.321012 0.269870 -0.513381 0.387705 -0.299497 0.871772 0.479766 0.266965 +0.314774 0.238125 -0.524596 0.439686 -0.374760 0.816230 0.457979 0.263825 +0.321012 0.269870 -0.513381 0.439686 -0.374760 0.816230 0.479766 0.266965 +0.281356 0.237638 -0.506818 0.439686 -0.374760 0.816230 0.441685 0.296292 +0.218390 0.270212 -0.549998 -0.745909 -0.310224 0.589390 0.527113 0.288963 +0.227821 0.242999 -0.552386 -0.745909 -0.310224 0.589390 0.515514 0.271849 +0.246942 0.267732 -0.515169 -0.745909 -0.310224 0.589390 0.539320 0.260380 +0.251681 0.238647 -0.526464 -0.717655 -0.350601 0.601706 0.524365 0.247302 +0.246942 0.267732 -0.515169 -0.717655 -0.350601 0.601706 0.539320 0.260380 +0.227821 0.242999 -0.552386 -0.717655 -0.350601 0.601706 0.515514 0.271849 +0.276764 0.286603 -0.624107 0.018976 0.132734 -0.990970 0.564779 0.236766 +0.276371 0.261753 -0.627443 0.018976 0.132734 -0.990970 0.549875 0.229926 +0.256416 0.286227 -0.624547 0.018976 0.132734 -0.990970 0.554811 0.256512 +0.258925 0.262389 -0.626401 -0.056873 0.071464 -0.995820 0.541895 0.247134 +0.256416 0.286227 -0.624547 -0.056873 0.071464 -0.995820 0.554811 0.256512 +0.276371 0.261753 -0.627443 -0.056873 0.071464 -0.995820 0.549875 0.229926 +0.307727 0.283631 -0.608932 0.440562 0.006241 -0.897700 0.577849 0.205689 +0.302528 0.254364 -0.611687 0.440562 0.006241 -0.897700 0.558027 0.202254 +0.276764 0.286603 -0.624107 0.440562 0.006241 -0.897700 0.564779 0.236766 +0.276371 0.261753 -0.627443 0.534598 0.104133 -0.838666 0.549875 0.229926 +0.276764 0.286603 -0.624107 0.534598 0.104133 -0.838666 0.564779 0.236766 +0.302528 0.254364 -0.611687 0.534598 0.104133 -0.838666 0.558027 0.202254 +0.324505 0.280399 -0.588902 0.754446 -0.101915 -0.648401 0.487675 0.266617 +0.316683 0.250336 -0.593278 0.754446 -0.101915 -0.648401 0.466125 0.265511 +0.307727 0.283631 -0.608932 0.754446 -0.101915 -0.648401 0.481553 0.283929 +0.302528 0.254364 -0.611687 0.781564 -0.080608 -0.618595 0.461730 0.280495 +0.307727 0.283631 -0.608932 0.781564 -0.080608 -0.618595 0.481553 0.283929 +0.316683 0.250336 -0.593278 0.781564 -0.080608 -0.618595 0.466125 0.265511 +0.321012 0.269870 -0.513381 0.845482 -0.317759 0.429173 0.479766 0.266965 +0.314774 0.238125 -0.524596 0.845482 -0.317759 0.429173 0.457979 0.263825 +0.333531 0.271928 -0.536520 0.845482 -0.317759 0.429173 0.486982 0.255347 +0.325592 0.241357 -0.544287 0.850158 -0.325854 0.413582 0.465075 0.254208 +0.333531 0.271928 -0.536520 0.850158 -0.325854 0.413582 0.486982 0.255347 +0.314774 0.238125 -0.524596 0.850158 -0.325854 0.413582 0.457979 0.263825 +0.246942 0.267732 -0.515169 -0.427454 -0.386941 0.817043 0.539320 0.260380 +0.251681 0.238647 -0.526464 -0.427454 -0.386941 0.817043 0.524365 0.247302 +0.281603 0.271164 -0.495410 -0.427454 -0.386941 0.817043 0.557954 0.227556 +0.281356 0.237638 -0.506818 -0.538157 -0.267953 0.799117 0.537981 0.218051 +0.281603 0.271164 -0.495410 -0.538157 -0.267953 0.799117 0.557954 0.227556 +0.251681 0.238647 -0.526464 -0.538157 -0.267953 0.799117 0.524365 0.247302 +0.232976 0.284542 -0.612466 -0.779937 -0.209402 -0.589787 0.542586 0.278895 +0.239402 0.258518 -0.611724 -0.779937 -0.209402 -0.589787 0.530252 0.265060 +0.220666 0.278731 -0.594124 -0.779937 -0.209402 -0.589787 0.533248 0.289218 +0.229813 0.252879 -0.597061 -0.779749 -0.208837 -0.590236 0.522319 0.272778 +0.220666 0.278731 -0.594124 -0.779749 -0.208837 -0.590236 0.533248 0.289218 +0.239402 0.258518 -0.611724 -0.779749 -0.208837 -0.590236 0.530252 0.265060 +0.328640 0.275564 -0.560919 0.963357 -0.201395 -0.177152 0.486792 0.261177 +0.320785 0.245758 -0.569750 0.963357 -0.201395 -0.177152 0.465378 0.260178 +0.324505 0.280399 -0.588902 0.963357 -0.201395 -0.177152 0.487675 0.266617 +0.316683 0.250336 -0.593278 0.953461 -0.217715 -0.208594 0.466125 0.265511 +0.324505 0.280399 -0.588902 0.953461 -0.217715 -0.208594 0.487675 0.266617 +0.320785 0.245758 -0.569750 0.953461 -0.217715 -0.208594 0.465378 0.260178 +0.220666 0.278731 -0.594124 -0.940846 -0.320352 -0.110376 0.533248 0.289218 +0.229813 0.252879 -0.597061 -0.940846 -0.320352 -0.110376 0.522319 0.272778 +0.218390 0.270212 -0.549998 -0.940846 -0.320352 -0.110376 0.527113 0.288963 +0.227821 0.242999 -0.552386 -0.941920 -0.316605 -0.112017 0.515514 0.271849 +0.218390 0.270212 -0.549998 -0.941920 -0.316605 -0.112017 0.527113 0.288963 +0.229813 0.252879 -0.597061 -0.941920 -0.316605 -0.112017 0.522319 0.272778 +0.256416 0.286227 -0.624547 -0.459212 0.020738 -0.888085 0.554811 0.256512 +0.258925 0.262389 -0.626401 -0.459212 0.020738 -0.888085 0.541895 0.247134 +0.232976 0.284542 -0.612466 -0.459212 0.020738 -0.888085 0.542586 0.278895 +0.239402 0.258518 -0.611724 -0.571769 -0.164102 -0.803835 0.530252 0.265060 +0.232976 0.284542 -0.612466 -0.571769 -0.164102 -0.803835 0.542586 0.278895 +0.258925 0.262389 -0.626401 -0.571769 -0.164102 -0.803835 0.541895 0.247134 +0.327169 0.782242 -0.847824 0.758418 0.027809 -0.651175 0.472792 0.534835 +0.298690 0.981866 -0.872468 0.758418 0.027809 -0.651175 0.603100 0.571187 +0.421764 0.935026 -0.731125 0.758418 0.027809 -0.651175 0.577732 0.436246 +0.378254 1.055511 -0.754824 0.769967 0.156372 -0.618626 0.655203 0.486773 +0.421764 0.935026 -0.731125 0.769967 0.156372 -0.618626 0.577732 0.436246 +0.298690 0.981866 -0.872468 0.769967 0.156372 -0.618626 0.603100 0.571187 +0.417389 1.074460 -0.603646 0.933403 0.235089 -0.271094 0.669445 0.444784 +0.441108 0.978452 -0.605236 0.933403 0.235089 -0.271094 0.607222 0.416416 +0.378254 1.055511 -0.754824 0.933403 0.235089 -0.271094 0.655203 0.486773 +0.421764 0.935026 -0.731125 0.926916 0.287227 -0.241510 0.577732 0.436246 +0.378254 1.055511 -0.754824 0.926916 0.287227 -0.241510 0.655203 0.486773 +0.441108 0.978452 -0.605236 0.926916 0.287227 -0.241510 0.607222 0.416416 +0.412246 1.047188 -0.462044 0.962563 0.257532 0.084560 0.651238 0.449629 +0.445104 0.928435 -0.474404 0.962563 0.257532 0.084560 0.574432 0.410717 +0.417389 1.074460 -0.603646 0.962563 0.257532 0.084560 0.669445 0.444784 +0.441108 0.978452 -0.605236 0.969209 0.238426 0.061547 0.607222 0.416416 +0.417389 1.074460 -0.603646 0.969209 0.238426 0.061547 0.669445 0.444784 +0.445104 0.928435 -0.474404 0.969209 0.238426 0.061547 0.574432 0.410717 +0.072233 0.433957 -0.668912 0.604638 -0.796480 0.005652 0.698155 0.395949 +0.130595 0.478463 -0.640555 0.604638 -0.796480 0.005652 0.701244 0.326112 +0.090467 0.448806 -0.527020 0.604638 -0.796480 0.005652 0.698567 0.373843 +0.131915 0.497689 -0.528796 0.760616 -0.641246 0.101330 0.690639 0.319007 +0.090467 0.448806 -0.527020 0.760616 -0.641246 0.101330 0.698567 0.373843 +0.130595 0.478463 -0.640555 0.760616 -0.641246 0.101330 0.701244 0.326112 +0.000000 0.406746 -0.682871 0.386834 -0.869903 -0.305986 0.583712 0.403715 +0.000000 0.427930 -0.743096 0.386834 -0.869903 -0.305986 0.571300 0.397290 +0.072233 0.433957 -0.668912 0.386834 -0.869903 -0.305986 0.603865 0.325733 +0.075642 0.462425 -0.735415 0.418622 -0.842449 -0.339169 0.588890 0.313809 +0.072233 0.433957 -0.668912 0.418622 -0.842449 -0.339169 0.603865 0.325733 +0.000000 0.427930 -0.743096 0.418622 -0.842449 -0.339169 0.571300 0.397290 +0.144773 0.521976 -0.369613 0.438573 -0.876201 0.199813 0.588545 0.229013 +0.000000 0.450505 -0.365256 0.438573 -0.876201 0.199813 0.558075 0.390444 +0.122304 0.494920 -0.438939 0.438573 -0.876201 0.199813 0.593169 0.258908 +0.000000 0.424155 -0.433288 0.486094 -0.814917 0.315632 0.573512 0.398435 +0.122304 0.494920 -0.438939 0.486094 -0.814917 0.315632 0.593169 0.258908 +0.000000 0.450505 -0.365256 0.486094 -0.814917 0.315632 0.558075 0.390444 +0.075642 0.462425 -0.735415 0.363805 -0.862918 -0.350741 0.683180 0.384025 +0.139670 0.486843 -0.729077 0.363805 -0.862918 -0.350741 0.700869 0.314810 +0.072233 0.433957 -0.668912 0.363805 -0.862918 -0.350741 0.698155 0.395949 +0.130595 0.478463 -0.640555 0.610154 -0.792185 -0.012442 0.701244 0.326112 +0.072233 0.433957 -0.668912 0.610154 -0.792185 -0.012442 0.698155 0.395949 +0.139670 0.486843 -0.729077 0.610154 -0.792185 -0.012442 0.700869 0.314810 +0.188531 0.548481 -0.803520 0.382371 -0.819244 -0.427354 0.689173 0.248949 +0.139670 0.486843 -0.729077 0.382371 -0.819244 -0.427354 0.700869 0.314810 +0.080293 0.503604 -0.814335 0.382371 -0.819244 -0.427354 0.661378 0.367046 +0.075642 0.462425 -0.735415 0.359784 -0.835729 -0.414865 0.683180 0.384025 +0.080293 0.503604 -0.814335 0.359784 -0.835729 -0.414865 0.661378 0.367046 +0.139670 0.486843 -0.729077 0.359784 -0.835729 -0.414865 0.700869 0.314810 +0.396773 0.803304 -0.408556 0.943552 -0.250260 0.216978 0.489789 0.459811 +0.445104 0.928435 -0.474404 0.943552 -0.250260 0.216978 0.574432 0.410717 +0.414880 0.913431 -0.360277 0.943552 -0.250260 0.216978 0.563190 0.443135 +0.412246 1.047188 -0.462044 0.933036 0.229308 0.277240 0.651238 0.449629 +0.414880 0.913431 -0.360277 0.933036 0.229308 0.277240 0.563190 0.443135 +0.445104 0.928435 -0.474404 0.933036 0.229308 0.277240 0.574432 0.410717 +0.198022 0.698088 -0.974045 0.827979 -0.492765 -0.267646 0.626327 0.304755 +0.255500 0.759849 -0.909942 0.827979 -0.492765 -0.267646 0.618865 0.230539 +0.218263 0.686509 -0.890110 0.827979 -0.492765 -0.267646 0.643226 0.288728 +0.090467 0.448806 -0.527020 0.762380 -0.644182 0.061692 0.698567 0.373843 +0.131915 0.497689 -0.528796 0.762380 -0.644182 0.061692 0.690639 0.319007 +0.122304 0.494920 -0.438939 0.762380 -0.644182 0.061692 0.687459 0.329124 +0.186971 0.537279 -0.445619 0.550036 -0.834484 0.033116 0.694957 0.253852 +0.122304 0.494920 -0.438939 0.550036 -0.834484 0.033116 0.687459 0.329124 +0.131915 0.497689 -0.528796 0.550036 -0.834484 0.033116 0.690639 0.319007 +0.414880 0.913431 -0.360277 0.929515 -0.265182 0.256281 0.563190 0.443135 +0.348259 0.682947 -0.357136 0.929515 -0.265182 0.256281 0.408285 0.509234 +0.396773 0.803304 -0.408556 0.929515 -0.265182 0.256281 0.489789 0.459811 +0.338005 0.651199 -0.375625 0.935522 -0.345383 0.074226 0.386899 0.519508 +0.396773 0.803304 -0.408556 0.935522 -0.345383 0.074226 0.489789 0.459811 +0.348259 0.682947 -0.357136 0.935522 -0.345383 0.074226 0.408285 0.509234 +0.122304 0.494920 -0.438939 0.552619 -0.821345 0.141441 0.470900 0.176368 +0.186971 0.537279 -0.445619 0.552619 -0.821345 0.141441 0.546283 0.182653 +0.144773 0.521976 -0.369613 0.552619 -0.821345 0.141441 0.500717 0.171263 +0.229770 0.574212 -0.368127 0.518484 -0.847000 0.117324 0.568567 0.298415 +0.144773 0.521976 -0.369613 0.518484 -0.847000 0.117324 0.500717 0.171263 +0.186971 0.537279 -0.445619 0.518484 -0.847000 0.117324 0.546283 0.182653 +0.186971 0.537279 -0.445619 0.581387 -0.810993 0.065421 0.715019 0.364192 +0.338005 0.651199 -0.375625 0.581387 -0.810993 0.065421 0.723749 0.183843 +0.229770 0.574212 -0.368127 0.581387 -0.810993 0.065421 0.714767 0.311676 +0.348259 0.682947 -0.357136 0.442712 -0.553714 0.705271 0.710272 0.164317 +0.229770 0.574212 -0.368127 0.442712 -0.553714 0.705271 0.714767 0.311676 +0.338005 0.651199 -0.375625 0.442712 -0.553714 0.705271 0.723749 0.183843 +0.317899 0.663392 0.220593 0.447685 -0.734095 0.510571 0.706557 0.199555 +0.219224 0.687039 0.341114 0.447685 -0.734095 0.510571 0.643396 0.287639 +0.157486 0.562074 0.215574 0.447685 -0.734095 0.510571 0.685758 0.385136 +0.110497 0.628471 0.357001 0.466506 -0.730908 0.498142 0.623378 0.410360 +0.157486 0.562074 0.215574 0.466506 -0.730908 0.498142 0.685758 0.385136 +0.219224 0.687039 0.341114 0.466506 -0.730908 0.498142 0.643396 0.287639 +0.157486 0.562074 0.215574 0.133982 -0.879177 0.457271 0.665696 0.274796 +0.110497 0.628471 0.357001 0.133982 -0.879177 0.457271 0.603316 0.300020 +0.000000 0.539160 0.217662 0.133982 -0.879177 0.457271 0.600424 0.433774 +0.000000 0.606042 0.362368 0.200478 -0.889305 0.411030 0.561240 0.413490 +0.000000 0.539160 0.217662 0.200478 -0.889305 0.411030 0.600424 0.433774 +0.110497 0.628471 0.357001 0.200478 -0.889305 0.411030 0.603316 0.300020 +0.198022 0.698088 -0.974045 0.793092 -0.573418 -0.205420 0.626327 0.304755 +0.171366 0.683604 -1.036528 0.793092 -0.573418 -0.205420 0.621493 0.334880 +0.240419 0.777716 -1.032634 0.793092 -0.573418 -0.205420 0.600861 0.239679 +0.232586 0.714247 -1.119921 0.750407 -0.564804 0.343346 0.634132 0.266488 +0.240419 0.777716 -1.032634 0.750407 -0.564804 0.343346 0.600861 0.239679 +0.171366 0.683604 -1.036528 0.750407 -0.564804 0.343346 0.621493 0.334880 +0.250596 0.812148 -1.151253 0.991437 -0.120614 0.050050 0.585774 0.219412 +0.240419 0.777716 -1.032634 0.991437 -0.120614 0.050050 0.600861 0.239679 +0.244259 0.753451 -1.167176 0.991437 -0.120614 0.050050 0.616996 0.243331 +0.232586 0.714247 -1.119921 0.975269 -0.210972 0.065885 0.634132 0.266488 +0.244259 0.753451 -1.167176 0.975269 -0.210972 0.065885 0.616996 0.243331 +0.240419 0.777716 -1.032634 0.975269 -0.210972 0.065885 0.600861 0.239679 +0.327169 0.782242 -0.847824 0.677569 -0.256181 -0.689399 0.675899 0.373058 +0.255500 0.759849 -0.909942 0.677569 -0.256181 -0.689399 0.602915 0.404055 +0.275470 0.839500 -0.919913 0.677569 -0.256181 -0.689399 0.650157 0.435687 +0.327169 0.782242 -0.847824 0.829935 0.049807 -0.555632 0.512800 0.440539 +0.275470 0.839500 -0.919913 0.829935 0.049807 -0.555632 0.460741 0.483839 +0.298690 0.981866 -0.872468 0.829935 0.049807 -0.555632 0.495414 0.574701 +0.261441 0.936834 -0.950653 0.903849 -0.004841 -0.427824 0.452109 0.549270 +0.298690 0.981866 -0.872468 0.903849 -0.004841 -0.427824 0.495414 0.574701 +0.275470 0.839500 -0.919913 0.903849 -0.004841 -0.427824 0.460741 0.483839 +0.218263 0.686509 -0.890110 0.520632 -0.459009 -0.719898 0.643226 0.288728 +0.255500 0.759849 -0.909942 0.520632 -0.459009 -0.719898 0.618865 0.230539 +0.271029 0.649493 -0.828348 0.520632 -0.459009 -0.719898 0.691280 0.249016 +0.327169 0.782242 -0.847824 0.671045 -0.377414 -0.638167 0.641560 0.154562 +0.271029 0.649493 -0.828348 0.671045 -0.377414 -0.638167 0.691280 0.249016 +0.255500 0.759849 -0.909942 0.671045 -0.377414 -0.638167 0.618865 0.230539 +0.294151 0.616429 -0.787640 0.637302 -0.379838 -0.670499 0.722205 0.236722 +0.271029 0.649493 -0.828348 0.637302 -0.379838 -0.670499 0.691280 0.249016 +0.368785 0.725018 -0.778217 0.637302 -0.379838 -0.670499 0.695881 0.131743 +0.327169 0.782242 -0.847824 0.633308 -0.367732 -0.680950 0.641560 0.154562 +0.368785 0.725018 -0.778217 0.633308 -0.367732 -0.680950 0.695881 0.131743 +0.271029 0.649493 -0.828348 0.633308 -0.367732 -0.680950 0.691280 0.249016 +0.218263 0.686509 -0.890110 0.424086 -0.569862 -0.703852 0.643226 0.288728 +0.271029 0.649493 -0.828348 0.424086 -0.569862 -0.703852 0.691280 0.249016 +0.130931 0.601270 -0.873717 0.424086 -0.569862 -0.703852 0.649525 0.398883 +0.188531 0.548481 -0.803520 0.420383 -0.525194 -0.739898 0.709235 0.359289 +0.130931 0.601270 -0.873717 0.420383 -0.525194 -0.739898 0.649525 0.398883 +0.271029 0.649493 -0.828348 0.420383 -0.525194 -0.739898 0.691280 0.249016 +0.198022 0.698088 -0.974045 0.499809 -0.833501 -0.235513 0.722624 0.226514 +0.218263 0.686509 -0.890110 0.499809 -0.833501 -0.235513 0.739522 0.210487 +0.106014 0.629367 -0.926096 0.499809 -0.833501 -0.235513 0.600550 0.304076 +0.130931 0.601270 -0.873717 0.509280 -0.633757 -0.582225 0.629463 0.288543 +0.106014 0.629367 -0.926096 0.509280 -0.633757 -0.582225 0.600550 0.304076 +0.218263 0.686509 -0.890110 0.509280 -0.633757 -0.582225 0.739522 0.210487 +0.093092 0.644095 -0.998740 0.547055 -0.796113 -0.258717 0.701822 0.344182 +0.106014 0.629367 -0.926096 0.547055 -0.796113 -0.258717 0.600550 0.304076 +0.045699 0.606911 -0.984531 0.547055 -0.796113 -0.258717 0.699925 0.401211 +0.054010 0.576161 -0.924554 0.643609 -0.641181 -0.417916 0.605736 0.370414 +0.045699 0.606911 -0.984531 0.643609 -0.641181 -0.417916 0.699925 0.401211 +0.106014 0.629367 -0.926096 0.643609 -0.641181 -0.417916 0.600550 0.304076 +0.045699 0.606911 -0.984531 0.352238 -0.812118 -0.465180 0.605635 0.330995 +0.054010 0.576161 -0.924554 0.352238 -0.812118 -0.465180 0.511446 0.300197 +0.000000 0.588966 -0.987806 0.352238 -0.812118 -0.465180 0.593313 0.380552 +0.000000 0.554331 -0.931320 0.379395 -0.788766 -0.483640 0.497246 0.358957 +0.000000 0.588966 -0.987806 0.379395 -0.788766 -0.483640 0.593313 0.380552 +0.054010 0.576161 -0.924554 0.379395 -0.788766 -0.483640 0.511446 0.300197 +0.031367 1.277087 0.777065 -0.381258 0.888873 0.254062 0.423296 0.412907 +0.083203 1.299485 0.776490 -0.381258 0.888873 0.254062 0.367414 0.396464 +0.049248 1.293766 0.745544 -0.381258 0.888873 0.254062 0.404194 0.401332 +0.081137 1.310106 0.746770 -0.440610 0.835196 0.329105 0.369867 0.389528 +0.049248 1.293766 0.745544 -0.440610 0.835196 0.329105 0.404194 0.401332 +0.083203 1.299485 0.776490 -0.440610 0.835196 0.329105 0.367414 0.396464 +0.007202 1.309190 1.584741 0.784158 0.533666 0.316697 0.330997 0.323927 +0.000000 1.297518 1.622242 0.784158 0.533666 0.316697 0.341693 0.321440 +0.015217 1.297518 1.584564 0.784158 0.533666 0.316697 0.332833 0.335409 +0.000000 1.313976 1.584920 0.525757 0.778319 0.343219 0.332524 0.315625 +0.000000 1.297518 1.622242 0.525757 0.778319 0.343219 0.341693 0.321440 +0.007202 1.309190 1.584741 0.525757 0.778319 0.343219 0.330997 0.323927 +0.007202 1.285847 1.584740 0.525784 -0.778312 0.343194 0.344002 0.332175 +0.000000 1.297518 1.622242 0.525784 -0.778312 0.343194 0.341693 0.321440 +0.000000 1.281061 1.584920 0.525784 -0.778312 0.343194 0.350861 0.327255 +0.015217 1.297518 1.584564 0.784129 -0.533716 0.316686 0.332833 0.335409 +0.000000 1.297518 1.622242 0.784129 -0.533716 0.316686 0.341693 0.321440 +0.007202 1.285847 1.584740 0.784129 -0.533716 0.316686 0.344002 0.332175 +0.039245 1.297518 0.812922 0.883965 0.340315 0.320612 0.415137 0.399181 +0.060854 1.324017 0.725216 0.883965 0.340315 0.320612 0.392177 0.381009 +0.027126 1.328997 0.812922 0.883965 0.340315 0.320612 0.428921 0.378814 +0.028482 1.340985 0.725216 0.460475 0.878512 0.127197 0.427683 0.370865 +0.027126 1.328997 0.812922 0.460475 0.878512 0.127197 0.428921 0.378814 +0.060854 1.324017 0.725216 0.460475 0.878512 0.127197 0.392177 0.381009 +0.000000 1.340139 0.812923 0.379906 0.924907 0.014774 0.403704 0.193764 +0.027126 1.328997 0.812922 0.379906 0.924907 0.014774 0.433190 0.201115 +0.000000 1.341540 0.725216 0.379906 0.924907 0.014774 0.403704 0.192840 +0.028482 1.340985 0.725216 0.019303 0.990563 0.135692 0.434664 0.193206 +0.000000 1.341540 0.725216 0.019303 0.990563 0.135692 0.403704 0.192840 +0.027126 1.328997 0.812922 0.019303 0.990563 0.135692 0.433190 0.201115 +0.029112 1.273484 0.812922 0.526178 -0.844817 -0.097057 0.338133 0.356656 +0.000000 1.255352 0.812923 0.526178 -0.844817 -0.097057 0.365183 0.336339 +0.049248 1.293766 0.745544 0.526178 -0.844817 -0.097057 0.315110 0.367973 +0.000000 1.259705 0.777615 0.518730 -0.848514 -0.104609 0.362759 0.334801 +0.049248 1.293766 0.745544 0.518730 -0.848514 -0.104609 0.315110 0.367973 +0.000000 1.255352 0.812923 0.518730 -0.848514 -0.104609 0.365183 0.336339 +0.039245 1.297518 0.812922 0.915961 -0.386179 0.108996 0.415137 0.399181 +0.029112 1.273484 0.812922 0.915961 -0.386179 0.108996 0.425676 0.415356 +0.060854 1.324017 0.725216 0.915961 -0.386179 0.108996 0.392177 0.381009 +0.049248 1.293766 0.745544 0.951145 -0.217999 0.218629 0.404194 0.401332 +0.060854 1.324017 0.725216 0.951145 -0.217999 0.218629 0.392177 0.381009 +0.029112 1.273484 0.812922 0.951145 -0.217999 0.218629 0.425676 0.415356 +0.020764 1.321185 1.166052 0.919074 0.393501 0.021456 0.316419 0.332138 +0.019217 1.320011 1.253847 0.919074 0.393501 0.021456 0.317973 0.331133 +0.030897 1.297518 1.166052 0.919074 0.393501 0.021456 0.323704 0.349802 +0.029351 1.297518 1.253847 0.911620 0.410721 0.016053 0.324605 0.348382 +0.030897 1.297518 1.166052 0.911620 0.410721 0.016053 0.323704 0.349802 +0.019217 1.320011 1.253847 0.911620 0.410721 0.016053 0.317973 0.331133 +0.000000 1.330374 1.166052 0.404528 0.914093 0.028122 0.323389 0.309831 +0.000000 1.327673 1.253848 0.404528 0.914093 0.028122 0.324894 0.310785 +0.020764 1.321185 1.166052 0.404528 0.914093 0.028122 0.316419 0.332138 +0.019217 1.320011 1.253847 0.370289 0.928723 0.018943 0.317973 0.331133 +0.020764 1.321185 1.166052 0.370289 0.928723 0.018943 0.316419 0.332138 +0.000000 1.327673 1.253848 0.370289 0.928723 0.018943 0.324894 0.310785 +0.020764 1.273851 1.166052 0.525238 -0.850705 0.020630 0.342789 0.348863 +0.019217 1.275025 1.253847 0.525238 -0.850705 0.020630 0.343035 0.347028 +0.000000 1.261031 1.166052 0.525238 -0.850705 0.020630 0.362020 0.334332 +0.000000 1.264209 1.253848 0.490240 -0.871017 0.031529 0.360249 0.333209 +0.000000 1.261031 1.166052 0.490240 -0.871017 0.031529 0.362020 0.334332 +0.019217 1.275025 1.253847 0.490240 -0.871017 0.031529 0.343035 0.347028 +0.030897 1.297518 1.166052 0.919165 -0.393540 0.016186 0.323704 0.349802 +0.029351 1.297518 1.253847 0.919165 -0.393540 0.016186 0.324605 0.348382 +0.020764 1.273851 1.166052 0.919165 -0.393540 0.016186 0.342789 0.348863 +0.019217 1.275025 1.253847 0.911525 -0.410679 0.021553 0.343035 0.347028 +0.020764 1.273851 1.166052 0.911525 -0.410679 0.021553 0.342789 0.348863 +0.029351 1.297518 1.253847 0.911525 -0.410679 0.021553 0.324605 0.348382 +0.015294 1.316786 1.442862 0.883814 0.464841 0.052864 0.322054 0.328671 +0.012210 1.313955 1.519316 0.883814 0.464841 0.052864 0.325427 0.326840 +0.025428 1.297518 1.442862 0.883814 0.464841 0.052864 0.326889 0.344781 +0.022343 1.297518 1.519310 0.850747 0.524454 0.034331 0.328684 0.341950 +0.025428 1.297518 1.442862 0.850747 0.524454 0.034331 0.326889 0.344781 +0.012210 1.313955 1.519316 0.850747 0.524454 0.034331 0.325427 0.326840 +0.000000 1.324767 1.442863 0.462138 0.885596 0.046361 0.326512 0.311812 +0.000000 1.320764 1.519330 0.462138 0.885596 0.046361 0.328742 0.313226 +0.015294 1.316786 1.442862 0.462138 0.885596 0.046361 0.322054 0.328671 +0.012210 1.313955 1.519316 0.486434 0.872174 0.051919 0.325427 0.326840 +0.015294 1.316786 1.442862 0.486434 0.872174 0.051919 0.322054 0.328671 +0.000000 1.320764 1.519330 0.486434 0.872174 0.051919 0.328742 0.313226 +0.015294 1.278250 1.442862 0.483304 -0.873916 0.051855 0.343523 0.342288 +0.012210 1.281081 1.519316 0.483304 -0.873916 0.051855 0.343741 0.338456 +0.000000 1.269792 1.442863 0.483304 -0.873916 0.051855 0.357139 0.331237 +0.000000 1.272790 1.519330 0.561494 -0.826846 0.032418 0.355469 0.330178 +0.000000 1.269792 1.442863 0.561494 -0.826846 0.032418 0.357139 0.331237 +0.012210 1.281081 1.519316 0.561494 -0.826846 0.032418 0.343741 0.338456 +0.025428 1.297518 1.442862 0.884488 -0.465195 0.035693 0.326889 0.344781 +0.022343 1.297518 1.519310 0.884488 -0.465195 0.035693 0.328684 0.341950 +0.015294 1.278250 1.442862 0.884488 -0.465195 0.035693 0.343523 0.342288 +0.012210 1.281081 1.519316 0.850025 -0.523998 0.053691 0.343741 0.338456 +0.015294 1.278250 1.442862 0.850025 -0.523998 0.053691 0.343523 0.342288 +0.022343 1.297518 1.519310 0.850025 -0.523998 0.053691 0.328684 0.341950 +0.023843 1.322813 0.991295 0.928244 0.371848 0.009661 0.313719 0.334389 +0.023085 1.322514 1.075631 0.928244 0.371848 0.009661 0.314326 0.333799 +0.033976 1.297518 0.991295 0.928244 0.371848 0.009661 0.321911 0.352628 +0.033219 1.297518 1.075631 0.926701 0.375707 0.008318 0.322352 0.351933 +0.033976 1.297518 0.991295 0.926701 0.375707 0.008318 0.321911 0.352628 +0.023085 1.322514 1.075631 0.926701 0.375707 0.008318 0.314326 0.333799 +0.000000 1.334681 0.991296 0.445557 0.895130 0.014892 0.320989 0.308309 +0.000000 1.333278 1.075632 0.445557 0.895130 0.014892 0.321771 0.308805 +0.023843 1.322813 0.991295 0.445557 0.895130 0.014892 0.313719 0.334389 +0.023085 1.322514 1.075631 0.422581 0.906298 0.007011 0.314326 0.333799 +0.023843 1.322813 0.991295 0.422581 0.906298 0.007011 0.313719 0.334389 +0.000000 1.333278 1.075632 0.422581 0.906298 0.007011 0.321771 0.308805 +0.023843 1.272223 0.991295 0.519954 -0.854160 0.007692 0.341903 0.352265 +0.023085 1.272521 1.075631 0.519954 -0.854160 0.007692 0.342178 0.351464 +0.000000 1.257709 0.991296 0.519954 -0.854160 0.007692 0.363871 0.335506 +0.000000 1.258652 1.075632 0.514965 -0.857158 0.009584 0.363345 0.335173 +0.000000 1.257709 0.991296 0.514965 -0.857158 0.009584 0.363871 0.335506 +0.023085 1.272521 1.075631 0.514965 -0.857158 0.009584 0.342178 0.351464 +0.033976 1.297518 0.991295 0.928255 -0.371852 0.008332 0.321911 0.352628 +0.033219 1.297518 1.075631 0.928255 -0.371852 0.008332 0.322352 0.351933 +0.023843 1.272223 0.991295 0.928255 -0.371852 0.008332 0.341903 0.352265 +0.023085 1.272521 1.075631 0.926695 -0.375690 0.009657 0.342178 0.351464 +0.023843 1.272223 0.991295 0.926695 -0.375690 0.009657 0.341903 0.352265 +0.033219 1.297518 1.075631 0.926695 -0.375690 0.009657 0.322352 0.351933 +0.018443 1.318398 1.349348 0.899013 0.436288 0.037794 0.319323 0.330992 +0.015294 1.316786 1.442862 0.899013 0.436288 0.037794 0.322054 0.328671 +0.028576 1.297518 1.349348 0.899013 0.436288 0.037794 0.325056 0.347672 +0.025428 1.297518 1.442862 0.884659 0.465286 0.029781 0.326889 0.344781 +0.028576 1.297518 1.349348 0.884659 0.465286 0.029781 0.325056 0.347672 +0.015294 1.316786 1.442862 0.884659 0.465286 0.029781 0.322054 0.328671 +0.000000 1.327047 1.349349 0.424486 0.905166 0.022069 0.325242 0.311006 +0.000000 1.324767 1.442863 0.424486 0.905166 0.022069 0.326512 0.311812 +0.018443 1.318398 1.349348 0.424486 0.905166 0.022069 0.319323 0.330992 +0.015294 1.316786 1.442862 0.462414 0.886127 0.030846 0.322054 0.328671 +0.018443 1.318398 1.349348 0.462414 0.886127 0.030846 0.319323 0.330992 +0.000000 1.324767 1.442863 0.462414 0.886127 0.030846 0.326512 0.311812 +0.018443 1.276638 1.349348 0.482062 -0.875577 0.031326 0.342587 0.345748 +0.015294 1.278250 1.442862 0.482062 -0.875577 0.031326 0.343523 0.342288 +0.000000 1.266484 1.349350 0.482062 -0.875577 0.031326 0.358982 0.332406 +0.000000 1.269792 1.442863 0.483722 -0.874675 0.030941 0.357139 0.331237 +0.000000 1.266484 1.349350 0.483722 -0.874675 0.030941 0.358982 0.332406 +0.015294 1.278250 1.442862 0.483722 -0.874675 0.030941 0.343523 0.342288 +0.028576 1.297518 1.349348 0.899243 -0.436400 0.030272 0.325056 0.347672 +0.025428 1.297518 1.442862 0.899243 -0.436400 0.030272 0.326889 0.344781 +0.018443 1.276638 1.349348 0.899243 -0.436400 0.030272 0.342587 0.345748 +0.015294 1.278250 1.442862 0.884420 -0.465159 0.037800 0.343523 0.342288 +0.018443 1.276638 1.349348 0.884420 -0.465159 0.037800 0.342587 0.345748 +0.025428 1.297518 1.442862 0.884420 -0.465159 0.037800 0.326889 0.344781 +0.019217 1.320011 1.253847 0.911644 0.410732 0.014326 0.317973 0.331133 +0.018443 1.318398 1.349348 0.911644 0.410732 0.014326 0.319323 0.330992 +0.029351 1.297518 1.253847 0.911644 0.410732 0.014326 0.324605 0.348382 +0.028576 1.297518 1.349348 0.899632 0.436589 0.007301 0.325056 0.347672 +0.029351 1.297518 1.253847 0.899632 0.436589 0.007301 0.324605 0.348382 +0.018443 1.318398 1.349348 0.899632 0.436589 0.007301 0.319323 0.330992 +0.000000 1.327673 1.253848 0.370348 0.928873 0.006088 0.324894 0.310785 +0.000000 1.327047 1.349349 0.370348 0.928873 0.006088 0.325242 0.311006 +0.019217 1.320011 1.253847 0.370348 0.928873 0.006088 0.317973 0.331133 +0.018443 1.318398 1.349348 0.424515 0.905227 0.018730 0.319323 0.330992 +0.019217 1.320011 1.253847 0.424515 0.905227 0.018730 0.317973 0.331133 +0.000000 1.327047 1.349349 0.424515 0.905227 0.018730 0.325242 0.311006 +0.019217 1.275025 1.253847 0.490397 -0.871298 0.018691 0.343035 0.347028 +0.018443 1.276638 1.349348 0.490397 -0.871298 0.018691 0.342587 0.345748 +0.000000 1.264209 1.253848 0.490397 -0.871298 0.018691 0.360249 0.333209 +0.000000 1.266484 1.349350 0.482193 -0.875816 0.020863 0.358982 0.332406 +0.000000 1.264209 1.253848 0.482193 -0.875816 0.020863 0.360249 0.333209 +0.018443 1.276638 1.349348 0.482193 -0.875816 0.020863 0.342587 0.345748 +0.029351 1.297518 1.253847 0.911712 -0.410763 0.007399 0.324605 0.348382 +0.028576 1.297518 1.349348 0.911712 -0.410763 0.007399 0.325056 0.347672 +0.019217 1.275025 1.253847 0.911712 -0.410763 0.007399 0.343035 0.347028 +0.018443 1.276638 1.349348 0.899559 -0.436553 0.014664 0.342587 0.345748 +0.019217 1.275025 1.253847 0.899559 -0.436553 0.014664 0.343035 0.347028 +0.028576 1.297518 1.349348 0.899559 -0.436553 0.014664 0.325056 0.347672 +0.023085 1.322514 1.075631 0.926335 0.375559 0.029298 0.314326 0.333799 +0.020764 1.321185 1.166052 0.926335 0.375559 0.029298 0.316419 0.332138 +0.033219 1.297518 1.075631 0.926335 0.375559 0.029298 0.322352 0.351933 +0.030897 1.297518 1.166052 0.919029 0.393482 0.023601 0.323704 0.349802 +0.033219 1.297518 1.075631 0.919029 0.393482 0.023601 0.322352 0.351933 +0.020764 1.321185 1.166052 0.919029 0.393482 0.023601 0.316419 0.332138 +0.000000 1.333278 1.075632 0.422414 0.905936 0.029095 0.321771 0.308805 +0.000000 1.330374 1.166052 0.422414 0.905936 0.029095 0.323389 0.309831 +0.023085 1.322514 1.075631 0.422414 0.905936 0.029095 0.314326 0.333799 +0.020764 1.321185 1.166052 0.404573 0.914195 0.023822 0.316419 0.332138 +0.023085 1.322514 1.075631 0.404573 0.914195 0.023822 0.314326 0.333799 +0.000000 1.330374 1.166052 0.404573 0.914195 0.023822 0.323389 0.309831 +0.023085 1.272521 1.075631 0.514818 -0.856911 0.025819 0.342178 0.351464 +0.020764 1.273851 1.166052 0.514818 -0.856911 0.025819 0.342789 0.348863 +0.000000 1.258652 1.075632 0.514818 -0.856911 0.025819 0.363345 0.335173 +0.000000 1.261031 1.166052 0.525218 -0.850673 0.022382 0.362020 0.334332 +0.000000 1.258652 1.075632 0.525218 -0.850673 0.022382 0.363345 0.335173 +0.020764 1.273851 1.166052 0.525218 -0.850673 0.022382 0.342789 0.348863 +0.033219 1.297518 1.075631 0.926476 -0.375601 0.023792 0.322352 0.351933 +0.030897 1.297518 1.166052 0.926476 -0.375601 0.023792 0.323704 0.349802 +0.023085 1.272521 1.075631 0.926476 -0.375601 0.023792 0.342178 0.351464 +0.020764 1.273851 1.166052 0.918889 -0.393422 0.029374 0.342789 0.348863 +0.023085 1.272521 1.075631 0.918889 -0.393422 0.029374 0.342178 0.351464 +0.030897 1.297518 1.166052 0.918889 -0.393422 0.029374 0.323704 0.349802 +0.025062 1.323454 0.911391 0.931299 0.363852 0.017127 0.312652 0.335281 +0.023843 1.322813 0.991295 0.931299 0.363852 0.017127 0.313719 0.334389 +0.035195 1.297518 0.911391 0.931299 0.363852 0.017127 0.321202 0.353747 +0.033976 1.297518 0.991295 0.928194 0.371828 0.014160 0.321911 0.352628 +0.035195 1.297518 0.911391 0.928194 0.371828 0.014160 0.321202 0.353747 +0.023843 1.322813 0.991295 0.928194 0.371828 0.014160 0.313719 0.334389 +0.000000 1.336474 0.911391 0.460918 0.887219 0.019907 0.403704 0.196182 +0.000000 1.334681 0.991296 0.460918 0.887219 0.019907 0.403704 0.197365 +0.025062 1.323454 0.911391 0.460918 0.887219 0.019907 0.430946 0.204772 +0.023843 1.322813 0.991295 0.445563 0.895142 0.013978 0.429621 0.205194 +0.025062 1.323454 0.911391 0.445563 0.895142 0.013978 0.430946 0.204772 +0.000000 1.334681 0.991296 0.445563 0.895142 0.013978 0.403704 0.197365 +0.022481 1.271582 0.911391 0.465405 -0.885098 -0.000833 0.343053 0.351241 +0.023843 1.272223 0.991295 0.465405 -0.885098 -0.000833 0.341903 0.352265 +0.000000 1.259761 0.911391 0.465405 -0.885098 -0.000833 0.362727 0.334781 +0.000000 1.257709 0.991296 0.519843 -0.853980 -0.021930 0.363871 0.335506 +0.000000 1.259761 0.911391 0.519843 -0.853980 -0.021930 0.362727 0.334781 +0.023843 1.272223 0.991295 0.519843 -0.853980 -0.021930 0.341903 0.352265 +0.035195 1.297518 0.911391 0.897833 -0.440124 0.013697 0.321202 0.353747 +0.033976 1.297518 0.991295 0.897833 -0.440124 0.013697 0.321911 0.352628 +0.022481 1.271582 0.911391 0.897833 -0.440124 0.013697 0.343053 0.351241 +0.023843 1.272223 0.991295 0.928210 -0.371834 -0.012839 0.341903 0.352265 +0.022481 1.271582 0.911391 0.928210 -0.371834 -0.012839 0.343053 0.351241 +0.033976 1.297518 0.991295 0.928210 -0.371834 -0.012839 0.321911 0.352628 +0.027126 1.328997 0.812922 0.932492 0.358997 0.039754 0.428921 0.378814 +0.025062 1.323454 0.911391 0.932492 0.358997 0.039754 0.431055 0.382536 +0.039245 1.297518 0.812922 0.932492 0.358997 0.039754 0.415137 0.399181 +0.035195 1.297518 0.911391 0.930753 0.363638 0.038282 0.419537 0.399311 +0.039245 1.297518 0.812922 0.930753 0.363638 0.038282 0.415137 0.399181 +0.025062 1.323454 0.911391 0.930753 0.363638 0.038282 0.431055 0.382536 +0.000000 1.340139 0.812923 0.379724 0.924460 0.034409 0.403704 0.193764 +0.000000 1.336474 0.911391 0.379724 0.924460 0.034409 0.403704 0.196182 +0.027126 1.328997 0.812922 0.379724 0.924460 0.034409 0.433190 0.201115 +0.025062 1.323454 0.911391 0.460192 0.885823 0.059511 0.430946 0.204772 +0.027126 1.328997 0.812922 0.460192 0.885823 0.059511 0.433190 0.201115 +0.000000 1.336474 0.911391 0.460192 0.885823 0.059511 0.403704 0.196182 +0.029112 1.273484 0.812922 0.528580 -0.848666 0.019203 0.338133 0.356656 +0.022481 1.271582 0.911391 0.528580 -0.848666 0.019203 0.343053 0.351241 +0.000000 1.255352 0.812923 0.528580 -0.848666 0.019203 0.365183 0.336339 +0.000000 1.259761 0.911391 0.465040 -0.884404 0.039600 0.362727 0.334781 +0.000000 1.255352 0.812923 0.465040 -0.884404 0.039600 0.365183 0.336339 +0.022481 1.271582 0.911391 0.465040 -0.884404 0.039600 0.343053 0.351241 +0.039245 1.297518 0.812922 0.920790 -0.388215 0.037872 0.318844 0.357465 +0.035195 1.297518 0.911391 0.920790 -0.388215 0.037872 0.321202 0.353747 +0.029112 1.273484 0.812922 0.920790 -0.388215 0.037872 0.338133 0.356656 +0.022481 1.271582 0.911391 0.896707 -0.439572 0.051895 0.343053 0.351241 +0.029112 1.273484 0.812922 0.896707 -0.439572 0.051895 0.338133 0.356656 +0.035195 1.297518 0.911391 0.896707 -0.439572 0.051895 0.321202 0.353747 +0.000000 1.341540 0.725216 0.019465 0.998866 0.043444 0.403704 0.192840 +0.028482 1.340985 0.725216 0.019465 0.998866 0.043444 0.434664 0.193206 +0.000000 1.343699 0.675576 0.019465 0.998866 0.043444 0.403704 0.191416 +0.038019 1.342369 0.674176 0.036186 0.998772 0.033845 0.445031 0.192293 +0.000000 1.343699 0.675576 0.036186 0.998772 0.033845 0.403704 0.191416 +0.028482 1.340985 0.725216 0.036186 0.998772 0.033845 0.434664 0.193206 +0.028482 1.340985 0.725216 0.461424 0.880323 0.110090 0.434664 0.193206 +0.060854 1.324017 0.725216 0.461424 0.880323 0.110090 0.469852 0.204400 +0.038019 1.342369 0.674176 0.461424 0.880323 0.110090 0.445031 0.192293 +0.078983 1.329372 0.672760 0.302593 0.931961 0.199717 0.489559 0.200867 +0.038019 1.342369 0.674176 0.302593 0.931961 0.199717 0.445031 0.192293 +0.060854 1.324017 0.725216 0.302593 0.931961 0.199717 0.469852 0.204400 +0.060854 1.324017 0.725216 0.938781 -0.152618 0.308867 0.392177 0.381009 +0.049248 1.293766 0.745544 0.938781 -0.152618 0.308867 0.404194 0.401332 +0.078983 1.329372 0.672760 0.938781 -0.152618 0.308867 0.372585 0.376893 +0.081137 1.310106 0.746770 -0.450216 0.860840 0.237194 0.369867 0.389528 +0.078983 1.329372 0.672760 -0.450216 0.860840 0.237194 0.372585 0.376893 +0.049248 1.293766 0.745544 -0.450216 0.860840 0.237194 0.404194 0.401332 +0.000000 1.251145 0.798667 -0.321810 0.804632 0.499005 0.456870 0.431027 +0.085151 1.283248 0.801816 -0.321810 0.804632 0.499005 0.364979 0.407109 +0.031367 1.277087 0.777065 -0.321810 0.804632 0.499005 0.423296 0.412907 +0.083203 1.299485 0.776490 -0.332152 0.782234 0.527054 0.367414 0.396464 +0.031367 1.277087 0.777065 -0.332152 0.782234 0.527054 0.423296 0.412907 +0.085151 1.283248 0.801816 -0.332152 0.782234 0.527054 0.364979 0.407109 +0.000000 1.251145 0.798667 -0.452011 0.826316 0.335988 0.367527 0.337826 +0.031367 1.277087 0.777065 -0.452011 0.826316 0.335988 0.334813 0.357453 +0.000000 1.259705 0.777615 -0.452011 0.826316 0.335988 0.362759 0.334801 +0.049248 1.293766 0.745544 -0.473672 0.860680 0.186720 0.315110 0.367973 +0.000000 1.259705 0.777615 -0.473672 0.860680 0.186720 0.362759 0.334801 +0.031367 1.277087 0.777065 -0.473672 0.860680 0.186720 0.334813 0.357453 +0.012210 1.313955 1.519316 0.846747 0.521963 0.102829 0.325427 0.326840 +0.007202 1.309190 1.584741 0.846747 0.521963 0.102829 0.330997 0.323927 +0.022343 1.297518 1.519310 0.846747 0.521963 0.102829 0.328684 0.341950 +0.015217 1.297518 1.584564 0.821665 0.562864 0.089729 0.332833 0.335409 +0.022343 1.297518 1.519310 0.821665 0.562864 0.089729 0.328684 0.341950 +0.007202 1.309190 1.584741 0.821665 0.562864 0.089729 0.330997 0.323927 +0.000000 1.320764 1.519330 0.485147 0.869787 0.090014 0.328742 0.313226 +0.000000 1.313976 1.584920 0.485147 0.869787 0.090014 0.332524 0.315625 +0.012210 1.313955 1.519316 0.485147 0.869787 0.090014 0.325427 0.326840 +0.007202 1.309190 1.584741 0.552323 0.827301 0.102530 0.330997 0.323927 +0.012210 1.313955 1.519316 0.552323 0.827301 0.102530 0.325427 0.326840 +0.000000 1.313976 1.584920 0.552323 0.827301 0.102530 0.332524 0.315625 +0.012210 1.281081 1.519316 0.558873 -0.822866 0.102724 0.343741 0.338456 +0.007202 1.285847 1.584740 0.558873 -0.822866 0.102724 0.344002 0.332175 +0.000000 1.272790 1.519330 0.558873 -0.822866 0.102724 0.355469 0.330178 +0.000000 1.281061 1.584920 0.552252 -0.827127 0.104303 0.350861 0.327255 +0.000000 1.272790 1.519330 0.552252 -0.827127 0.104303 0.355469 0.330178 +0.007202 1.285847 1.584740 0.552252 -0.827127 0.104303 0.344002 0.332175 +0.022343 1.297518 1.519310 0.847605 -0.522492 0.092562 0.328684 0.341950 +0.015217 1.297518 1.584564 0.847605 -0.522492 0.092562 0.332833 0.335409 +0.012210 1.281081 1.519316 0.847605 -0.522492 0.092562 0.343741 0.338456 +0.007202 1.285847 1.584740 0.820615 -0.561984 0.103755 0.344002 0.332175 +0.012210 1.281081 1.519316 0.820615 -0.561984 0.103755 0.343741 0.338456 +0.015217 1.297518 1.584564 0.820615 -0.561984 0.103755 0.332833 0.335409 +0.078983 1.329372 0.672760 0.213319 0.946969 0.240303 0.372585 0.376893 +0.081137 1.310106 0.746770 0.213319 0.946969 0.240303 0.369867 0.389528 +0.201975 1.300758 0.676339 0.213319 0.946969 0.240303 0.238389 0.391792 +0.083203 1.299485 0.776490 0.213902 0.924496 0.315519 0.367414 0.396464 +0.187521 1.271414 0.788019 0.213902 0.924496 0.315519 0.253519 0.411608 +0.081137 1.310106 0.746770 0.213902 0.924496 0.315519 0.369867 0.389528 +0.201975 1.300758 0.676339 0.232567 0.932833 0.275202 0.238389 0.391792 +0.081137 1.310106 0.746770 0.232567 0.932833 0.275202 0.369867 0.389528 +0.187521 1.271414 0.788019 0.232567 0.932833 0.275202 0.253519 0.411608 +0.173635 0.942559 -1.358508 0.813958 0.258208 -0.520386 0.511678 0.565068 +0.179672 0.916928 -1.361783 0.813958 0.258208 -0.520386 0.528640 0.558644 +0.167523 0.939125 -1.369772 0.813958 0.258208 -0.520386 0.508921 0.558612 +0.167523 0.939125 -1.369772 0.756766 0.188976 -0.625774 0.508921 0.558612 +0.179672 0.916928 -1.361783 0.756766 0.188976 -0.625774 0.528640 0.558644 +0.163048 0.929743 -1.378017 0.756766 0.188976 -0.625774 0.510272 0.550857 +0.163048 0.929743 -1.378017 0.723776 0.069177 -0.686559 0.510272 0.550857 +0.179672 0.916928 -1.361783 0.723776 0.069177 -0.686559 0.528640 0.558644 +0.161410 0.916928 -1.381035 0.723776 0.069177 -0.686559 0.515369 0.543881 +0.161410 0.916928 -1.381035 0.723776 -0.069172 -0.686559 0.515369 0.543881 +0.179672 0.916928 -1.361783 0.723776 -0.069172 -0.686559 0.528640 0.558644 +0.163048 0.904112 -1.378017 0.723776 -0.069172 -0.686559 0.522847 0.539553 +0.163048 0.904112 -1.378017 0.756773 -0.188983 -0.625763 0.522847 0.539553 +0.179672 0.916928 -1.361783 0.756773 -0.188983 -0.625763 0.528640 0.558644 +0.167523 0.894731 -1.369772 0.756773 -0.188983 -0.625763 0.530702 0.539033 +0.167523 0.894731 -1.369772 0.813958 -0.258208 -0.520386 0.530702 0.539033 +0.179672 0.916928 -1.361783 0.813958 -0.258208 -0.520386 0.528640 0.558644 +0.173635 0.891297 -1.358508 0.813958 -0.258208 -0.520386 0.536828 0.542460 +0.173635 0.891297 -1.358508 0.879926 -0.258213 -0.398818 0.536828 0.542460 +0.179672 0.916928 -1.361783 0.879926 -0.258213 -0.398818 0.528640 0.558644 +0.179748 0.894731 -1.347244 0.879926 -0.258213 -0.398818 0.539586 0.548916 +0.179748 0.894731 -1.347244 0.937085 -0.189030 -0.293494 0.539586 0.548916 +0.179672 0.916928 -1.361783 0.937085 -0.189030 -0.293494 0.528640 0.558644 +0.184223 0.904112 -1.338998 0.937085 -0.189030 -0.293494 0.538234 0.556671 +0.184223 0.904112 -1.338998 0.970088 -0.069195 -0.232682 0.538234 0.556671 +0.179672 0.916928 -1.361783 0.970088 -0.069195 -0.232682 0.528640 0.558644 +0.185861 0.916928 -1.335980 0.970088 -0.069195 -0.232682 0.533137 0.563647 +0.185861 0.916928 -1.335980 0.970088 0.069200 -0.232682 0.533137 0.563647 +0.179672 0.916928 -1.361783 0.970088 0.069200 -0.232682 0.528640 0.558644 +0.184223 0.929743 -1.338998 0.970088 0.069200 -0.232682 0.525659 0.567975 +0.184223 0.929743 -1.338998 0.937091 0.189022 -0.293482 0.525659 0.567975 +0.179672 0.916928 -1.361783 0.937091 0.189022 -0.293482 0.528640 0.558644 +0.179748 0.939125 -1.347244 0.937091 0.189022 -0.293482 0.517805 0.568495 +0.179748 0.939125 -1.347244 0.879926 0.258213 -0.398818 0.517805 0.568495 +0.179672 0.916928 -1.361783 0.879926 0.258213 -0.398818 0.528640 0.558644 +0.173635 0.942559 -1.358508 0.879926 0.258213 -0.398818 0.511678 0.565068 +0.167523 0.939125 -1.369772 0.566448 0.650671 -0.505731 0.508921 0.558612 +0.149528 0.954521 -1.370119 0.566448 0.650671 -0.505731 0.488291 0.550855 +0.173635 0.942559 -1.358508 0.566448 0.650671 -0.505731 0.511678 0.565068 +0.159880 0.960336 -1.351043 0.566448 0.650663 -0.505741 0.492960 0.561789 +0.173635 0.942559 -1.358508 0.566448 0.650663 -0.505741 0.511678 0.565068 +0.149528 0.954521 -1.370119 0.566448 0.650663 -0.505741 0.488291 0.550855 +0.163048 0.929743 -1.378017 0.422423 0.476249 -0.771197 0.510272 0.550857 +0.141950 0.938632 -1.384084 0.422423 0.476249 -0.771197 0.490579 0.537722 +0.167523 0.939125 -1.369772 0.422423 0.476249 -0.771197 0.508921 0.558612 +0.149528 0.954521 -1.370119 0.422401 0.476325 -0.771162 0.488291 0.550855 +0.167523 0.939125 -1.369772 0.422401 0.476325 -0.771162 0.508921 0.558612 +0.141950 0.938632 -1.384084 0.422401 0.476325 -0.771162 0.490579 0.537722 +0.161410 0.916928 -1.381035 0.339298 0.174330 -0.924384 0.515369 0.543881 +0.139176 0.916928 -1.389196 0.339298 0.174330 -0.924384 0.499212 0.525907 +0.163048 0.929743 -1.378017 0.339298 0.174330 -0.924384 0.510272 0.550857 +0.141950 0.938632 -1.384084 0.339282 0.174361 -0.924384 0.490579 0.537722 +0.163048 0.929743 -1.378017 0.339282 0.174361 -0.924384 0.510272 0.550857 +0.139176 0.916928 -1.389196 0.339282 0.174361 -0.924384 0.499212 0.525907 +0.163048 0.904112 -1.378017 0.339262 -0.174324 -0.924398 0.522847 0.539553 +0.141950 0.895224 -1.384084 0.339262 -0.174324 -0.924398 0.511876 0.518577 +0.161410 0.916928 -1.381035 0.339262 -0.174324 -0.924398 0.515369 0.543881 +0.139176 0.916928 -1.389196 0.339297 -0.174358 -0.924379 0.499212 0.525907 +0.161410 0.916928 -1.381035 0.339297 -0.174358 -0.924379 0.515369 0.543881 +0.141950 0.895224 -1.384084 0.339297 -0.174358 -0.924379 0.511876 0.518577 +0.167523 0.894731 -1.369772 0.422385 -0.476306 -0.771183 0.530702 0.539033 +0.149528 0.879335 -1.370119 0.422385 -0.476306 -0.771183 0.525179 0.517696 +0.163048 0.904112 -1.378017 0.422385 -0.476306 -0.771183 0.522847 0.539553 +0.141950 0.895224 -1.384084 0.422417 -0.476316 -0.771160 0.511876 0.518577 +0.163048 0.904112 -1.378017 0.422417 -0.476316 -0.771160 0.522847 0.539553 +0.149528 0.879335 -1.370119 0.422417 -0.476316 -0.771160 0.525179 0.517696 +0.173635 0.891297 -1.358508 0.566472 -0.650645 -0.505737 0.536828 0.542460 +0.159880 0.873519 -1.351043 0.566472 -0.650645 -0.505737 0.535555 0.523501 +0.167523 0.894731 -1.369772 0.566472 -0.650645 -0.505737 0.530702 0.539033 +0.149528 0.879335 -1.370119 0.566436 -0.650656 -0.505764 0.525179 0.517696 +0.167523 0.894731 -1.369772 0.566436 -0.650656 -0.505764 0.530702 0.539033 +0.159880 0.873519 -1.351043 0.566436 -0.650656 -0.505764 0.535555 0.523501 +0.179748 0.894731 -1.347244 0.732764 -0.650638 -0.199316 0.539586 0.548916 +0.170233 0.879335 -1.331967 0.732764 -0.650638 -0.199316 0.540224 0.534434 +0.173635 0.891297 -1.358508 0.732764 -0.650638 -0.199316 0.536828 0.542460 +0.159880 0.873519 -1.351043 0.732762 -0.650640 -0.199317 0.535555 0.523501 +0.173635 0.891297 -1.358508 0.732762 -0.650640 -0.199317 0.536828 0.542460 +0.170233 0.879335 -1.331967 0.732762 -0.650640 -0.199317 0.540224 0.534434 +0.184223 0.904112 -1.338998 0.876766 -0.476352 0.066108 0.538234 0.556671 +0.177811 0.895224 -1.318002 0.876766 -0.476352 0.066108 0.537936 0.547568 +0.179748 0.894731 -1.347244 0.876766 -0.476352 0.066108 0.539586 0.548916 +0.170233 0.879335 -1.331967 0.876804 -0.476282 0.066109 0.540224 0.534434 +0.179748 0.894731 -1.347244 0.876804 -0.476282 0.066109 0.539586 0.548916 +0.177811 0.895224 -1.318002 0.876804 -0.476282 0.066109 0.537936 0.547568 +0.185861 0.916928 -1.335980 0.959942 -0.174343 0.219353 0.533137 0.563647 +0.180585 0.916928 -1.312891 0.959942 -0.174343 0.219353 0.529303 0.559382 +0.184223 0.904112 -1.338998 0.959942 -0.174343 0.219353 0.538234 0.556671 +0.177811 0.895224 -1.318002 0.959941 -0.174345 0.219354 0.537936 0.547568 +0.184223 0.904112 -1.338998 0.959941 -0.174345 0.219354 0.538234 0.556671 +0.180585 0.916928 -1.312891 0.959941 -0.174345 0.219354 0.529303 0.559382 +0.184223 0.929743 -1.338998 0.959942 0.174354 0.219343 0.525659 0.567975 +0.177811 0.938632 -1.318002 0.959942 0.174354 0.219343 0.516639 0.566712 +0.185861 0.916928 -1.335980 0.959942 0.174354 0.219343 0.533137 0.563647 +0.180585 0.916928 -1.312891 0.959942 0.174345 0.219353 0.529303 0.559382 +0.185861 0.916928 -1.335980 0.959942 0.174345 0.219353 0.533137 0.563647 +0.177811 0.938632 -1.318002 0.959942 0.174345 0.219353 0.516639 0.566712 +0.179748 0.939125 -1.347244 0.876797 0.476298 0.066089 0.517805 0.568495 +0.170233 0.954521 -1.331967 0.876797 0.476298 0.066089 0.503336 0.567593 +0.184223 0.929743 -1.338998 0.876797 0.476298 0.066089 0.525659 0.567975 +0.177811 0.938632 -1.318002 0.876799 0.476290 0.066121 0.516639 0.566712 +0.184223 0.929743 -1.338998 0.876799 0.476290 0.066121 0.525659 0.567975 +0.170233 0.954521 -1.331967 0.876799 0.476290 0.066121 0.503336 0.567593 +0.173635 0.942559 -1.358508 0.732750 0.650658 -0.199302 0.511678 0.565068 +0.159880 0.960336 -1.351043 0.732750 0.650658 -0.199302 0.492960 0.561789 +0.179748 0.939125 -1.347244 0.732750 0.650658 -0.199302 0.517805 0.568495 +0.170233 0.954521 -1.331967 0.732748 0.650650 -0.199339 0.503336 0.567593 +0.179748 0.939125 -1.347244 0.732748 0.650650 -0.199339 0.517805 0.568495 +0.159880 0.960336 -1.351043 0.732748 0.650650 -0.199339 0.492960 0.561789 +0.149528 0.954521 -1.370119 0.028682 0.951703 -0.305677 0.488291 0.550855 +0.123777 0.958868 -1.359001 0.028682 0.951703 -0.305677 0.467445 0.531955 +0.159880 0.960336 -1.351043 0.028682 0.951703 -0.305677 0.492960 0.561789 +0.135327 0.965356 -1.337718 0.028683 0.951701 -0.305685 0.472655 0.544153 +0.159880 0.960336 -1.351043 0.028683 0.951701 -0.305685 0.492960 0.561789 +0.123777 0.958868 -1.359001 0.028683 0.951701 -0.305685 0.467445 0.531955 +0.141950 0.938632 -1.384084 -0.181981 0.696682 -0.693915 0.490579 0.537722 +0.115323 0.941142 -1.374581 -0.181981 0.696682 -0.693915 0.469998 0.517303 +0.149528 0.954521 -1.370119 -0.181981 0.696682 -0.693915 0.488291 0.550855 +0.123777 0.958868 -1.359001 -0.181984 0.696689 -0.693906 0.467445 0.531955 +0.149528 0.954521 -1.370119 -0.181984 0.696689 -0.693906 0.488291 0.550855 +0.115323 0.941142 -1.374581 -0.181984 0.696689 -0.693906 0.469998 0.517303 +0.139176 0.916928 -1.389196 -0.303635 0.255034 -0.918021 0.499212 0.525907 +0.112228 0.916928 -1.380283 -0.303635 0.255034 -0.918021 0.479629 0.504122 +0.141950 0.938632 -1.384084 -0.303635 0.255034 -0.918021 0.490579 0.537722 +0.115323 0.941142 -1.374581 -0.303607 0.254991 -0.918043 0.469998 0.517303 +0.141950 0.938632 -1.384084 -0.303607 0.254991 -0.918043 0.490579 0.537722 +0.112228 0.916928 -1.380283 -0.303607 0.254991 -0.918043 0.479629 0.504122 +0.141950 0.895224 -1.384084 -0.303600 -0.255032 -0.918034 0.511876 0.518577 +0.115323 0.892714 -1.374581 -0.303600 -0.255032 -0.918034 0.493758 0.495944 +0.139176 0.916928 -1.389196 -0.303600 -0.255032 -0.918034 0.499212 0.525907 +0.112228 0.916928 -1.380283 -0.303639 -0.254993 -0.918032 0.479629 0.504122 +0.139176 0.916928 -1.389196 -0.303639 -0.254993 -0.918032 0.499212 0.525907 +0.115323 0.892714 -1.374581 -0.303639 -0.254993 -0.918032 0.493758 0.495944 +0.149528 0.879335 -1.370119 -0.181989 -0.696683 -0.693911 0.525179 0.517696 +0.123777 0.874988 -1.359001 -0.181989 -0.696683 -0.693911 0.508599 0.494962 +0.141950 0.895224 -1.384084 -0.181989 -0.696683 -0.693911 0.511876 0.518577 +0.115323 0.892714 -1.374581 -0.181979 -0.696688 -0.693908 0.493758 0.495944 +0.141950 0.895224 -1.384084 -0.181979 -0.696688 -0.693908 0.511876 0.518577 +0.123777 0.874988 -1.359001 -0.181979 -0.696688 -0.693908 0.508599 0.494962 +0.159880 0.873519 -1.351043 0.028668 -0.951692 -0.305714 0.535555 0.523501 +0.135327 0.868499 -1.337718 0.028668 -0.951692 -0.305714 0.520175 0.501437 +0.149528 0.879335 -1.370119 0.028668 -0.951692 -0.305714 0.525179 0.517696 +0.123777 0.874988 -1.359001 0.028660 -0.951691 -0.305717 0.508599 0.494962 +0.149528 0.879335 -1.370119 0.028660 -0.951691 -0.305717 0.525179 0.517696 +0.135327 0.868499 -1.337718 0.028660 -0.951691 -0.305717 0.520175 0.501437 +0.170233 0.879335 -1.331967 0.271926 -0.951698 0.142578 0.540224 0.534434 +0.146876 0.874988 -1.316436 0.271926 -0.951698 0.142578 0.525384 0.513635 +0.159880 0.873519 -1.351043 0.271926 -0.951698 0.142578 0.535555 0.523501 +0.135327 0.868499 -1.337718 0.271963 -0.951685 0.142591 0.520175 0.501437 +0.159880 0.873519 -1.351043 0.271963 -0.951685 0.142591 0.535555 0.523501 +0.146876 0.874988 -1.316436 0.271963 -0.951685 0.142591 0.525384 0.513635 +0.177811 0.895224 -1.318002 0.482618 -0.696678 0.530772 0.537936 0.547568 +0.155331 0.892714 -1.300856 0.482618 -0.696678 0.530772 0.522832 0.528288 +0.170233 0.879335 -1.331967 0.482618 -0.696678 0.530772 0.540224 0.534434 +0.146876 0.874988 -1.316436 0.482591 -0.696700 0.530769 0.525384 0.513635 +0.170233 0.879335 -1.331967 0.482591 -0.696700 0.530769 0.540224 0.534434 +0.155331 0.892714 -1.300856 0.482591 -0.696700 0.530769 0.522832 0.528288 +0.180585 0.916928 -1.312891 0.604232 -0.254996 0.754905 0.529303 0.559382 +0.158425 0.916928 -1.295154 0.604232 -0.254996 0.754905 0.513200 0.541468 +0.177811 0.895224 -1.318002 0.604232 -0.254996 0.754905 0.537936 0.547568 +0.155331 0.892714 -1.300856 0.604247 -0.254976 0.754899 0.522832 0.528288 +0.177811 0.895224 -1.318002 0.604247 -0.254976 0.754899 0.537936 0.547568 +0.158425 0.916928 -1.295154 0.604247 -0.254976 0.754899 0.513200 0.541468 +0.177811 0.938632 -1.318002 0.604246 0.254995 0.754894 0.516639 0.566712 +0.155331 0.941142 -1.300856 0.604246 0.254995 0.754894 0.499071 0.549646 +0.180585 0.916928 -1.312891 0.604246 0.254995 0.754894 0.529303 0.559382 +0.158425 0.916928 -1.295154 0.604235 0.254976 0.754909 0.513200 0.541468 +0.180585 0.916928 -1.312891 0.604235 0.254976 0.754909 0.529303 0.559382 +0.155331 0.941142 -1.300856 0.604235 0.254976 0.754909 0.499071 0.549646 +0.170233 0.954521 -1.331967 0.482600 0.696681 0.530785 0.503336 0.567593 +0.146876 0.958868 -1.316436 0.482600 0.696681 0.530785 0.484231 0.550628 +0.177811 0.938632 -1.318002 0.482600 0.696681 0.530785 0.516639 0.566712 +0.155331 0.941142 -1.300856 0.482609 0.696697 0.530756 0.499071 0.549646 +0.177811 0.938632 -1.318002 0.482609 0.696697 0.530756 0.516639 0.566712 +0.146876 0.958868 -1.316436 0.482609 0.696697 0.530756 0.484231 0.550628 +0.159880 0.960336 -1.351043 0.271931 0.951703 0.142529 0.492960 0.561789 +0.135327 0.965356 -1.337718 0.271931 0.951703 0.142529 0.472655 0.544153 +0.170233 0.954521 -1.331967 0.271931 0.951703 0.142529 0.503336 0.567593 +0.146876 0.958868 -1.316436 0.271923 0.951699 0.142569 0.484231 0.550628 +0.170233 0.954521 -1.331967 0.271923 0.951699 0.142569 0.503336 0.567593 +0.135327 0.965356 -1.337718 0.271923 0.951699 0.142569 0.472655 0.544153 +0.164410 0.635710 -1.289065 0.026006 -0.991818 -0.124983 0.742373 0.277879 +0.161549 0.634034 -1.276360 0.026006 -0.991818 -0.124983 0.741925 0.281149 +0.143894 0.636116 -1.296556 0.026006 -0.991818 -0.124983 0.731883 0.297560 +0.141154 0.632284 -1.289671 0.312758 -0.877376 -0.363859 0.732759 0.301368 +0.143894 0.636116 -1.296556 0.312758 -0.877376 -0.363859 0.731883 0.297560 +0.161549 0.634034 -1.276360 0.312758 -0.877376 -0.363859 0.741925 0.281149 +0.143894 0.636116 -1.296556 -0.217064 -0.805916 0.550802 0.731883 0.297560 +0.146131 0.627509 -1.308268 -0.217064 -0.805916 0.550802 0.738043 0.298012 +0.164410 0.635710 -1.289065 -0.217064 -0.805916 0.550802 0.742373 0.277879 +0.163755 0.634987 -1.303910 0.384579 -0.922668 0.027969 0.742470 0.278730 +0.164410 0.635710 -1.289065 0.384579 -0.922668 0.027969 0.742373 0.277879 +0.146131 0.627509 -1.308268 0.384579 -0.922668 0.027969 0.738043 0.298012 +0.160675 0.631884 -1.327495 0.642259 -0.766300 0.016947 0.742748 0.282645 +0.163755 0.634987 -1.303910 0.642259 -0.766300 0.016947 0.742470 0.278730 +0.145445 0.619138 -1.326647 0.642259 -0.766300 0.016947 0.742606 0.301213 +0.146131 0.627509 -1.308268 0.276353 -0.878460 0.389791 0.738043 0.298012 +0.145445 0.619138 -1.326647 0.276353 -0.878460 0.389791 0.742606 0.301213 +0.163755 0.634987 -1.303910 0.276353 -0.878460 0.389791 0.742470 0.278730 +0.141154 0.632284 -1.289671 0.422372 -0.718412 -0.552708 0.732759 0.301368 +0.161549 0.634034 -1.276360 0.422372 -0.718412 -0.552708 0.741925 0.281149 +0.139402 0.619443 -1.274319 0.422372 -0.718412 -0.552708 0.739407 0.306953 +0.155468 0.630819 -1.236804 0.551167 -0.834223 0.016929 0.740771 0.287994 +0.139402 0.619443 -1.274319 0.551167 -0.834223 0.016929 0.739407 0.306953 +0.161549 0.634034 -1.276360 0.551167 -0.834223 0.016929 0.741925 0.281149 +0.132645 0.611443 -1.361377 -0.015290 -0.941653 0.336238 0.740717 0.315903 +0.139376 0.611108 -1.362009 -0.015290 -0.941653 0.336238 0.744277 0.309506 +0.139083 0.623711 -1.326727 -0.015290 -0.941653 0.336238 0.736747 0.305968 +0.145445 0.619138 -1.326647 -0.563639 -0.779355 0.273710 0.742606 0.301213 +0.139083 0.623711 -1.326727 -0.563639 -0.779355 0.273710 0.736747 0.305968 +0.139376 0.611108 -1.362009 -0.563639 -0.779355 0.273710 0.744277 0.309506 +0.129576 0.603754 -1.405361 -0.089907 -0.962695 0.255215 0.743689 0.321198 +0.122685 0.604309 -1.405695 -0.089907 -0.962695 0.255215 0.739920 0.327681 +0.118962 0.596255 -1.437387 -0.089907 -0.962695 0.255215 0.742778 0.333718 +0.129576 0.603754 -1.405361 -0.087831 -0.978642 0.185867 0.743689 0.321198 +0.139376 0.611108 -1.362009 -0.087831 -0.978642 0.185867 0.744277 0.309506 +0.122685 0.604309 -1.405695 -0.087831 -0.978642 0.185867 0.739920 0.327681 +0.132645 0.611443 -1.361377 -0.033444 -0.985532 0.166159 0.740717 0.315903 +0.122685 0.604309 -1.405695 -0.033444 -0.985532 0.166159 0.739920 0.327681 +0.139376 0.611108 -1.362009 -0.033444 -0.985532 0.166159 0.744277 0.309506 +-0.261846 0.862849 -0.969024 -0.989297 0.040031 -0.140320 0.299614 0.347410 +-0.261458 0.936834 -0.950653 -0.989297 0.040031 -0.140320 0.341805 0.322866 +-0.241371 0.904321 -1.101547 -0.989297 0.040031 -0.140320 0.334500 0.352589 +-0.247114 0.947537 -1.089240 -0.988873 -0.100064 -0.110078 0.355834 0.332672 +-0.241371 0.904321 -1.101547 -0.988873 -0.100064 -0.110078 0.334500 0.352589 +-0.261458 0.936834 -0.950653 -0.988873 -0.100064 -0.110078 0.341805 0.322866 +-0.036826 0.697304 -1.238117 0.286780 -0.091181 -0.953647 0.453346 0.526258 +-0.036736 0.673595 -1.235823 0.286780 -0.091181 -0.953647 0.468433 0.530387 +-0.071025 0.686623 -1.247380 0.286780 -0.091181 -0.953647 0.450095 0.563956 +-0.070108 0.663809 -1.244802 0.284851 -0.096323 -0.953720 0.464855 0.567059 +-0.071025 0.686623 -1.247380 0.284851 -0.096323 -0.953720 0.450095 0.563956 +-0.036736 0.673595 -1.235823 0.284851 -0.096323 -0.953720 0.468433 0.530387 +-0.082624 1.230108 -1.177560 -0.173698 0.979468 -0.102332 0.506933 0.315299 +-0.085409 1.217723 -1.291375 -0.173698 0.979468 -0.102332 0.498596 0.317832 +-0.149071 1.217860 -1.182005 -0.173698 0.979468 -0.102332 0.456795 0.262682 +-0.147357 1.206186 -1.283632 -0.195764 0.973865 -0.115170 0.451791 0.268825 +-0.149071 1.217860 -1.182005 -0.195764 0.973865 -0.115170 0.456795 0.262682 +-0.085409 1.217723 -1.291375 -0.195764 0.973865 -0.115170 0.498596 0.317832 +-0.144250 1.142150 -1.389224 -0.274388 0.397549 -0.875595 0.420200 0.297076 +-0.082855 1.147955 -1.405828 -0.274388 0.397549 -0.875595 0.463630 0.347892 +-0.122840 1.061670 -1.432474 -0.274388 0.397549 -0.875595 0.392011 0.347730 +-0.068456 1.066913 -1.451326 -0.333398 0.415799 -0.846142 0.430535 0.392704 +-0.122840 1.061670 -1.432474 -0.333398 0.415799 -0.846142 0.392011 0.347730 +-0.082855 1.147955 -1.405828 -0.333398 0.415799 -0.846142 0.463630 0.347892 +-0.042597 0.636975 -1.569583 -0.297143 -0.795960 -0.527403 0.489975 0.543044 +-0.048244 0.652445 -1.589749 -0.297143 -0.795960 -0.527403 0.478491 0.546199 +-0.018495 0.630150 -1.572862 -0.297143 -0.795960 -0.527403 0.501383 0.519033 +-0.019229 0.641123 -1.594895 -0.393877 -0.827942 -0.399215 0.494197 0.517847 +-0.018495 0.630150 -1.572862 -0.393877 -0.827942 -0.399215 0.501383 0.519033 +-0.048244 0.652445 -1.589749 -0.393877 -0.827942 -0.399215 0.478491 0.546199 +-0.013745 0.533006 -1.402167 -0.220216 -0.928598 -0.298681 0.564484 0.531363 +-0.018653 0.523921 -1.370303 -0.220216 -0.928598 -0.298681 0.568815 0.538118 +-0.042277 0.536856 -1.393100 -0.220216 -0.928598 -0.298681 0.553665 0.560540 +-0.050546 0.530957 -1.365189 -0.248536 -0.930166 -0.270223 0.554986 0.570246 +-0.042277 0.536856 -1.393100 -0.248536 -0.930166 -0.270223 0.553665 0.560540 +-0.018653 0.523921 -1.370303 -0.248536 -0.930166 -0.270223 0.568815 0.538118 +-0.248839 1.114913 -1.231756 -0.947206 0.172066 -0.270546 0.449837 0.274712 +-0.262511 1.120451 -1.180367 -0.947206 0.172066 -0.270546 0.445395 0.260067 +-0.228445 1.165832 -1.270773 -0.947206 0.172066 -0.270546 0.490039 0.276636 +-0.232968 1.172981 -1.184636 -0.871359 0.483077 -0.085848 0.491586 0.270001 +-0.228445 1.165832 -1.270773 -0.871359 0.483077 -0.085848 0.490039 0.276636 +-0.262511 1.120451 -1.180367 -0.871359 0.483077 -0.085848 0.445395 0.260067 +-0.070579 0.651884 -1.562914 -0.588892 -0.592501 -0.549680 0.472292 0.569676 +-0.091737 0.667292 -1.556855 -0.588892 -0.592501 -0.549680 0.456296 0.589077 +-0.077735 0.670632 -1.575456 -0.588892 -0.592501 -0.549680 0.458283 0.573826 +-0.101414 0.680852 -1.557837 -0.645191 -0.502140 -0.575834 0.444842 0.596789 +-0.077735 0.670632 -1.575456 -0.645191 -0.502140 -0.575834 0.458283 0.573826 +-0.091737 0.667292 -1.556855 -0.645191 -0.502140 -0.575834 0.456296 0.589077 +-0.072746 0.548504 -1.377240 -0.780000 -0.555646 -0.287848 0.537325 0.590356 +-0.078031 0.542918 -1.352136 -0.780000 -0.555646 -0.287848 0.539322 0.596883 +-0.096499 0.564166 -1.343108 -0.780000 -0.555646 -0.287848 0.520406 0.612428 +-0.079885 0.553916 -1.324992 -0.682392 -0.692527 0.233982 0.531792 0.596865 +-0.096499 0.564166 -1.343108 -0.682392 -0.692527 0.233982 0.520406 0.612428 +-0.078031 0.542918 -1.352136 -0.682392 -0.692527 0.233982 0.539322 0.596883 +-0.044418 0.878195 -1.529981 -0.671452 0.246286 -0.698925 0.451717 0.420272 +-0.032348 0.787490 -1.573539 -0.671452 0.246286 -0.698925 0.464838 0.480111 +-0.082070 0.881297 -1.492716 -0.671452 0.246286 -0.698925 0.410790 0.418226 +-0.062210 0.790061 -1.548939 -0.582988 0.330486 -0.742229 0.432377 0.478415 +-0.082070 0.881297 -1.492716 -0.582988 0.330486 -0.742229 0.410790 0.418226 +-0.032348 0.787490 -1.573539 -0.582988 0.330486 -0.742229 0.464838 0.480111 +-0.154545 0.867532 -1.402559 -0.814869 -0.034693 -0.578606 0.332007 0.427307 +-0.119248 0.879041 -1.452959 -0.814869 -0.034693 -0.578606 0.370376 0.419714 +-0.111758 0.786106 -1.457935 -0.814869 -0.034693 -0.578606 0.378517 0.481024 +-0.091205 0.790433 -1.508123 -0.922427 -0.053867 -0.382396 0.400860 0.478170 +-0.111758 0.786106 -1.457935 -0.922427 -0.053867 -0.382396 0.378517 0.481024 +-0.119248 0.879041 -1.452959 -0.922427 -0.053867 -0.382396 0.370376 0.419714 +-0.134118 0.661652 -1.124052 -0.312882 -0.899391 0.305286 0.256315 0.534546 +-0.201506 0.656278 -1.208949 -0.312882 -0.899391 0.305286 0.215886 0.473359 +-0.155502 0.630819 -1.236804 -0.312882 -0.899391 0.305286 0.226960 0.524936 +-0.161583 0.634034 -1.276360 -0.482792 -0.875729 0.003045 0.225411 0.518169 +-0.155502 0.630819 -1.236804 -0.482792 -0.875729 0.003045 0.226960 0.524936 +-0.201506 0.656278 -1.208949 -0.482792 -0.875729 0.003045 0.215886 0.473359 +-0.043746 0.606547 -0.981986 -0.567852 -0.810610 -0.143026 0.508966 0.549666 +-0.093126 0.644095 -0.998740 -0.567852 -0.810610 -0.143026 0.470623 0.594661 +-0.044949 0.622270 -1.066321 -0.567852 -0.810610 -0.143026 0.498625 0.548125 +-0.084098 0.641995 -1.085169 -0.440507 -0.897423 -0.024209 0.474607 0.585587 +-0.044949 0.622270 -1.066321 -0.440507 -0.897423 -0.024209 0.498625 0.548125 +-0.093126 0.644095 -0.998740 -0.440507 -0.897423 -0.024209 0.470623 0.594661 +-0.244916 1.045580 -1.193270 -0.957848 -0.253022 -0.136043 0.412677 0.301721 +-0.239547 1.048406 -1.236328 -0.957848 -0.253022 -0.136043 0.417259 0.305788 +-0.231512 0.999141 -1.201274 -0.957848 -0.253022 -0.136043 0.393766 0.329885 +-0.216845 1.004349 -1.256261 -0.899940 -0.340529 -0.272299 0.404856 0.341842 +-0.231512 0.999141 -1.201274 -0.899940 -0.340529 -0.272299 0.393766 0.329885 +-0.239547 1.048406 -1.236328 -0.899940 -0.340529 -0.272299 0.417259 0.305788 +-0.181060 0.684930 -1.327258 -0.910607 0.143243 -0.387654 0.243483 0.482827 +-0.203675 0.795930 -1.233119 -0.910607 0.143243 -0.387654 0.293915 0.424318 +-0.156683 0.761539 -1.356212 -0.910607 0.143243 -0.387654 0.300469 0.479825 +-0.190161 0.840066 -1.294682 -0.936754 -0.152546 -0.314995 0.326451 0.422092 +-0.156683 0.761539 -1.356212 -0.936754 -0.152546 -0.314995 0.300469 0.479825 +-0.203675 0.795930 -1.233119 -0.936754 -0.152546 -0.314995 0.293915 0.424318 +-0.115473 0.619527 -1.495687 -0.907525 -0.368315 -0.201848 0.479671 0.622427 +-0.118995 0.596255 -1.437387 -0.907525 -0.368315 -0.201848 0.493420 0.630258 +-0.125978 0.642916 -1.491134 -0.907525 -0.368315 -0.201848 0.461732 0.629256 +-0.128478 0.627141 -1.442977 -0.936824 -0.315120 -0.151859 0.471018 0.634683 +-0.125978 0.642916 -1.491134 -0.936824 -0.315120 -0.151859 0.461732 0.629256 +-0.118995 0.596255 -1.437387 -0.936824 -0.315120 -0.151859 0.493420 0.630258 +-0.025466 0.627061 -1.305227 -0.302205 0.768327 -0.564221 0.501299 0.526880 +-0.054498 0.623404 -1.294657 -0.302205 0.768327 -0.564221 0.495102 0.557917 +-0.036736 0.673595 -1.235823 -0.302205 0.768327 -0.564221 0.468433 0.530387 +-0.070108 0.663809 -1.244802 -0.053225 0.767575 -0.638746 0.464855 0.567059 +-0.036736 0.673595 -1.235823 -0.053225 0.767575 -0.638746 0.468433 0.530387 +-0.054498 0.623404 -1.294657 -0.053225 0.767575 -0.638746 0.495102 0.557917 +-0.138671 0.637077 -1.308886 0.589404 -0.653513 0.474893 0.461716 0.643581 +-0.139116 0.623711 -1.326727 0.589404 -0.653513 0.474893 0.470075 0.646428 +-0.118153 0.677453 -1.278789 0.589404 -0.653513 0.474893 0.442089 0.614915 +-0.119228 0.660955 -1.324339 0.867959 -0.473158 0.150891 0.452253 0.618978 +-0.118153 0.677453 -1.278789 0.867959 -0.473158 0.150891 0.442089 0.614915 +-0.139116 0.623711 -1.326727 0.867959 -0.473158 0.150891 0.470075 0.646428 +-0.035521 0.670332 -1.329960 0.103226 -0.871483 0.479439 0.470862 0.529697 +-0.037389 0.701558 -1.272798 0.103226 -0.871483 0.479439 0.450479 0.526091 +-0.068073 0.667823 -1.327512 0.103226 -0.871483 0.479439 0.462903 0.564214 +-0.069705 0.690989 -1.278198 0.217674 -0.880611 0.420884 0.447709 0.561796 +-0.068073 0.667823 -1.327512 0.217674 -0.880611 0.420884 0.462903 0.564214 +-0.037389 0.701558 -1.272798 0.217674 -0.880611 0.420884 0.450479 0.526091 +-0.134693 0.641700 -1.297916 0.737404 -0.003083 -0.675445 0.459946 0.638595 +-0.103259 0.674458 -1.263748 0.737404 -0.003083 -0.675445 0.448363 0.599860 +-0.129518 0.638544 -1.292252 0.737404 -0.003083 -0.675445 0.463470 0.633740 +-0.100422 0.653954 -1.255747 0.800278 -0.118634 -0.587776 0.462220 0.600542 +-0.129518 0.638544 -1.292252 0.800278 -0.118634 -0.587776 0.463470 0.633740 +-0.103259 0.674458 -1.263748 0.800278 -0.118634 -0.587776 0.448363 0.599860 +-0.129518 0.638544 -1.292252 0.278557 0.784967 -0.553383 0.463470 0.633740 +-0.100422 0.653954 -1.255747 0.278557 0.784967 -0.553383 0.462220 0.600542 +-0.081699 0.623371 -1.289704 0.278557 0.784967 -0.553383 0.487141 0.586393 +-0.217272 0.685585 -1.235284 -0.919691 0.120658 -0.373645 0.223768 0.448754 +-0.203675 0.795930 -1.233119 -0.919691 0.120658 -0.373645 0.293915 0.424318 +-0.198140 0.684246 -1.282808 -0.919691 0.120658 -0.373645 0.233621 0.467091 +-0.181060 0.684930 -1.327258 -0.928171 0.111910 -0.354929 0.243483 0.482827 +-0.198140 0.684246 -1.282808 -0.928171 0.111910 -0.354929 0.233621 0.467091 +-0.203675 0.795930 -1.233119 -0.928171 0.111910 -0.354929 0.293915 0.424318 +-0.129518 0.638544 -1.292252 0.250878 -0.729865 -0.635891 0.463470 0.633740 +-0.141188 0.632284 -1.289671 0.250878 -0.729865 -0.635891 0.464021 0.647069 +-0.134693 0.641700 -1.297916 0.250878 -0.729865 -0.635891 0.459946 0.638595 +-0.143928 0.636116 -1.296556 0.366910 -0.743109 -0.559613 0.460783 0.649255 +-0.134693 0.641700 -1.297916 0.366910 -0.743109 -0.559613 0.459946 0.638595 +-0.141188 0.632284 -1.289671 0.366910 -0.743109 -0.559613 0.464021 0.647069 +-0.091602 0.580916 -1.447681 -0.541258 -0.806149 -0.239087 0.511203 0.604319 +-0.118995 0.596255 -1.437387 -0.541258 -0.806149 -0.239087 0.493420 0.630258 +-0.089700 0.594454 -1.497634 -0.541258 -0.806149 -0.239087 0.503161 0.599917 +-0.115473 0.619527 -1.495687 -0.675206 -0.670117 -0.308285 0.479671 0.622427 +-0.089700 0.594454 -1.497634 -0.675206 -0.670117 -0.308285 0.503161 0.599917 +-0.118995 0.596255 -1.437387 -0.675206 -0.670117 -0.308285 0.493420 0.630258 +-0.062730 0.576113 -1.462112 -0.062905 -0.985717 -0.156221 0.522727 0.574955 +-0.060933 0.582180 -1.501117 -0.062905 -0.985717 -0.156221 0.519400 0.571994 +-0.032758 0.575474 -1.470149 -0.062905 -0.985717 -0.156221 0.531928 0.543700 +-0.024074 0.579481 -1.503406 -0.080958 -0.986831 -0.140038 0.531931 0.533896 +-0.032758 0.575474 -1.470149 -0.080958 -0.986831 -0.140038 0.531928 0.543700 +-0.060933 0.582180 -1.501117 -0.080958 -0.986831 -0.140038 0.519400 0.571994 +-0.039668 0.554379 -1.391853 -0.227714 0.102814 -0.968285 0.543300 0.554689 +-0.013929 0.548833 -1.398495 -0.227714 0.102814 -0.968285 0.554376 0.528736 +-0.042277 0.536856 -1.393100 -0.227714 0.102814 -0.968285 0.553665 0.560540 +-0.013745 0.533006 -1.402167 -0.269367 0.214679 -0.938805 0.564484 0.531363 +-0.042277 0.536856 -1.393100 -0.269367 0.214679 -0.938805 0.553665 0.560540 +-0.013929 0.548833 -1.398495 -0.269367 0.214679 -0.938805 0.554376 0.528736 +-0.088928 0.574027 -1.370848 -0.493868 -0.096704 -0.864143 0.516363 0.602747 +-0.071663 0.565028 -1.379708 -0.493868 -0.096704 -0.864143 0.527146 0.586279 +-0.072746 0.548504 -1.377240 -0.493868 -0.096704 -0.864143 0.537325 0.590356 +-0.088928 0.574027 -1.370848 -0.788728 -0.378813 -0.484158 0.516363 0.602747 +-0.072746 0.548504 -1.377240 -0.788728 -0.378813 -0.484158 0.537325 0.590356 +-0.101609 0.577932 -1.353245 -0.788728 -0.378813 -0.484158 0.510161 0.615324 +-0.096499 0.564166 -1.343108 -0.792910 -0.523705 -0.311489 0.520406 0.612428 +-0.101609 0.577932 -1.353245 -0.792910 -0.523705 -0.311489 0.510161 0.615324 +-0.072746 0.548504 -1.377240 -0.792910 -0.523705 -0.311489 0.537325 0.590356 +-0.107905 0.578042 -1.323799 -0.609881 -0.768824 0.192235 0.401432 0.599009 +-0.096499 0.564166 -1.343108 -0.609881 -0.768824 0.192235 0.400950 0.583605 +-0.084009 0.566737 -1.293200 -0.609881 -0.768824 0.192235 0.391216 0.573989 +-0.079885 0.553916 -1.324992 -0.665127 -0.718475 0.203467 0.395086 0.565234 +-0.084009 0.566737 -1.293200 -0.665127 -0.718475 0.203467 0.391216 0.573989 +-0.096499 0.564166 -1.343108 -0.665127 -0.718475 0.203467 0.400950 0.583605 +-0.062022 0.560729 -1.284424 -0.158937 -0.914288 0.372580 0.532707 0.576954 +-0.055160 0.544940 -1.320242 -0.158937 -0.914288 0.372580 0.544750 0.572584 +-0.026294 0.556299 -1.280054 -0.158937 -0.914288 0.372580 0.546005 0.540349 +-0.023282 0.541154 -1.315241 -0.167403 -0.910693 0.377644 0.556510 0.539894 +-0.026294 0.556299 -1.280054 -0.167403 -0.910693 0.377644 0.546005 0.540349 +-0.055160 0.544940 -1.320242 -0.167403 -0.910693 0.377644 0.544750 0.572584 +-0.044926 0.584637 -1.348548 -0.222700 0.786237 -0.576399 0.522537 0.554802 +-0.019046 0.580399 -1.364328 -0.222700 0.786237 -0.576399 0.532824 0.528471 +-0.039668 0.554379 -1.391853 -0.222700 0.786237 -0.576399 0.543300 0.554689 +-0.013929 0.548833 -1.398495 -0.017491 0.733092 -0.679905 0.554376 0.528736 +-0.039668 0.554379 -1.391853 -0.017491 0.733092 -0.679905 0.543300 0.554689 +-0.019046 0.580399 -1.364328 -0.017491 0.733092 -0.679905 0.532824 0.528471 +-0.111650 0.608226 -1.327029 0.222510 0.821173 -0.525513 0.487971 0.620438 +-0.074089 0.590221 -1.339260 0.222510 0.821173 -0.525513 0.510431 0.584332 +-0.088928 0.574027 -1.370848 0.222510 0.821173 -0.525513 0.516363 0.602747 +-0.071663 0.565028 -1.379708 0.174803 0.840420 -0.512969 0.527146 0.586279 +-0.088928 0.574027 -1.370848 0.174803 0.840420 -0.512969 0.516363 0.602747 +-0.074089 0.590221 -1.339260 0.174803 0.840420 -0.512969 0.510431 0.584332 +-0.127044 0.615782 -1.303758 -0.765661 0.256648 -0.589826 0.478654 0.635205 +-0.111650 0.608226 -1.327029 -0.765661 0.256648 -0.589826 0.487971 0.620438 +-0.101609 0.577932 -1.353245 -0.765661 0.256648 -0.589826 0.510161 0.615324 +-0.088928 0.574027 -1.370848 -0.751340 0.271484 -0.601485 0.516363 0.602747 +-0.101609 0.577932 -1.353245 -0.751340 0.271484 -0.601485 0.510161 0.615324 +-0.111650 0.608226 -1.327029 -0.751340 0.271484 -0.601485 0.487971 0.620438 +-0.106325 0.609168 -1.214490 -0.631229 -0.743236 0.221697 0.488936 0.614698 +-0.139436 0.619443 -1.274319 -0.631229 -0.743236 0.221697 0.472693 0.647523 +-0.084009 0.566737 -1.293200 -0.631229 -0.743236 0.221697 0.522438 0.598897 +-0.107905 0.578042 -1.323799 -0.632136 -0.743246 0.219064 0.508244 0.621894 +-0.084009 0.566737 -1.293200 -0.632136 -0.743246 0.219064 0.522438 0.598897 +-0.139436 0.619443 -1.274319 -0.632136 -0.743246 0.219064 0.472693 0.647523 +-0.028693 0.593276 -1.192433 -0.227625 -0.899350 0.373304 0.521813 0.536274 +-0.072717 0.602534 -1.196973 -0.227625 -0.899350 0.373304 0.503013 0.580702 +-0.026294 0.556299 -1.280054 -0.227625 -0.899350 0.373304 0.546005 0.540349 +-0.062022 0.560729 -1.284424 -0.161423 -0.897917 0.409498 0.532707 0.576954 +-0.026294 0.556299 -1.280054 -0.161423 -0.897917 0.409498 0.546005 0.540349 +-0.072717 0.602534 -1.196973 -0.161423 -0.897917 0.409498 0.503013 0.580702 +-0.085409 1.217723 -1.291375 -0.218631 0.834578 -0.505648 0.498596 0.317832 +-0.085424 1.181174 -1.351693 -0.218631 0.834578 -0.505648 0.479389 0.332409 +-0.147357 1.206186 -1.283632 -0.218631 0.834578 -0.505648 0.451791 0.268825 +-0.148332 1.172147 -1.343492 -0.185774 0.855449 -0.483420 0.433271 0.281569 +-0.147357 1.206186 -1.283632 -0.185774 0.855449 -0.483420 0.451791 0.268825 +-0.085424 1.181174 -1.351693 -0.185774 0.855449 -0.483420 0.479389 0.332409 +-0.156683 0.761539 -1.356212 -0.897722 -0.038862 -0.438846 0.300469 0.479825 +-0.190161 0.840066 -1.294682 -0.897722 -0.038862 -0.438846 0.326451 0.422092 +-0.131543 0.777987 -1.409096 -0.897722 -0.038862 -0.438846 0.323746 0.497789 +-0.178546 0.860294 -1.354269 -0.901657 -0.324462 -0.285901 0.344371 0.426141 +-0.131543 0.777987 -1.409096 -0.901657 -0.324462 -0.285901 0.323746 0.497789 +-0.190161 0.840066 -1.294682 -0.901657 -0.324462 -0.285901 0.326451 0.422092 +-0.114850 0.668639 -1.528464 -0.922910 -0.127804 -0.363184 0.448658 0.613027 +-0.107077 0.649263 -1.541398 -0.922910 -0.127804 -0.363184 0.463247 0.608343 +-0.125978 0.642916 -1.491134 -0.922910 -0.127804 -0.363184 0.461732 0.629256 +-0.115473 0.619527 -1.495687 -0.872697 -0.320212 -0.368598 0.479671 0.622427 +-0.125978 0.642916 -1.491134 -0.872697 -0.320212 -0.368598 0.461732 0.629256 +-0.107077 0.649263 -1.541398 -0.872697 -0.320212 -0.368598 0.463247 0.608343 +-0.089700 0.594454 -1.497634 -0.645492 -0.629981 -0.431815 0.503161 0.599917 +-0.115473 0.619527 -1.495687 -0.645492 -0.629981 -0.431815 0.479671 0.622427 +-0.085528 0.622349 -1.544567 -0.645492 -0.629981 -0.431815 0.486666 0.590582 +-0.107077 0.649263 -1.541398 -0.715775 -0.517942 -0.468403 0.463247 0.608343 +-0.085528 0.622349 -1.544567 -0.715775 -0.517942 -0.468403 0.486666 0.590582 +-0.115473 0.619527 -1.495687 -0.715775 -0.517942 -0.468403 0.479671 0.622427 +-0.024074 0.579481 -1.503406 -0.095320 -0.804337 -0.586478 0.531931 0.533896 +-0.060933 0.582180 -1.501117 -0.095320 -0.804337 -0.586478 0.519400 0.571994 +-0.017253 0.609926 -1.546269 -0.095320 -0.804337 -0.586478 0.514594 0.521335 +-0.057607 0.610821 -1.545277 -0.031986 -0.837459 -0.545563 0.502183 0.563412 +-0.017253 0.609926 -1.546269 -0.031986 -0.837459 -0.545563 0.514594 0.521335 +-0.060933 0.582180 -1.501117 -0.031986 -0.837459 -0.545563 0.519400 0.571994 +-0.112016 0.988007 -1.455975 -0.427331 0.110887 -0.897269 0.378237 0.347828 +-0.052771 1.004878 -1.482106 -0.427331 0.110887 -0.897269 0.442638 0.336698 +-0.115110 0.963420 -1.457540 -0.427331 0.110887 -0.897269 0.374874 0.364048 +-0.048005 0.980232 -1.490109 -0.466818 0.190174 -0.863664 0.447819 0.352957 +-0.115110 0.963420 -1.457540 -0.466818 0.190174 -0.863664 0.374874 0.364048 +-0.052771 1.004878 -1.482106 -0.466818 0.190174 -0.863664 0.442638 0.336698 +-0.147928 0.938309 -1.405185 -0.641735 -0.053541 -0.765056 0.405616 0.428500 +-0.183277 0.941167 -1.375734 -0.641735 -0.053541 -0.765056 0.387630 0.394493 +-0.162523 0.950832 -1.393819 -0.641735 -0.053541 -0.765056 0.404625 0.410640 +-0.187929 0.952735 -1.370655 -0.670459 0.055233 -0.739888 0.391612 0.386250 +-0.162523 0.950832 -1.393819 -0.670459 0.055233 -0.739888 0.404625 0.410640 +-0.183277 0.941167 -1.375734 -0.670459 0.055233 -0.739888 0.387630 0.394493 +-0.224201 0.939482 -1.213435 -0.948395 -0.095691 -0.302307 0.363973 0.356803 +-0.204236 0.942053 -1.276883 -0.948395 -0.095691 -0.302307 0.376507 0.374602 +-0.220599 0.913999 -1.216669 -0.948395 -0.095691 -0.302307 0.351513 0.368749 +-0.190512 0.930004 -1.297658 -0.865086 -0.321636 -0.384936 0.377283 0.391488 +-0.220599 0.913999 -1.216669 -0.865086 -0.321636 -0.384936 0.351513 0.368749 +-0.204236 0.942053 -1.276883 -0.865086 -0.321636 -0.384936 0.376507 0.374602 +-0.204236 0.942053 -1.276883 -0.697393 -0.715218 -0.045889 0.376507 0.374602 +-0.208784 0.949713 -1.327152 -0.697393 -0.715218 -0.045889 0.378330 0.367771 +-0.190512 0.930004 -1.297658 -0.697393 -0.715218 -0.045889 0.377283 0.391488 +-0.198518 0.937192 -1.333706 -0.762187 -0.646092 0.040444 0.376920 0.381584 +-0.190512 0.930004 -1.297658 -0.762187 -0.646092 0.040444 0.377283 0.391488 +-0.208784 0.949713 -1.327152 -0.762187 -0.646092 0.040444 0.378330 0.367771 +-0.062210 0.790061 -1.548939 -0.505954 0.542197 -0.670844 0.386976 0.536307 +-0.032348 0.787490 -1.573539 -0.505954 0.542197 -0.670844 0.397373 0.505509 +-0.053302 0.738356 -1.597447 -0.505954 0.542197 -0.670844 0.422434 0.536192 +-0.022231 0.731314 -1.613117 -0.289688 0.515839 -0.806220 0.436026 0.504926 +-0.053302 0.738356 -1.597447 -0.289688 0.515839 -0.806220 0.422434 0.536192 +-0.032348 0.787490 -1.573539 -0.289688 0.515839 -0.806220 0.397373 0.505509 +-0.111758 0.786106 -1.457935 -0.856193 0.409259 -0.315343 0.374948 0.588871 +-0.091205 0.790433 -1.508123 -0.856193 0.409259 -0.315343 0.378231 0.566588 +-0.107128 0.746441 -1.521984 -0.856193 0.409259 -0.315343 0.401503 0.591089 +-0.086410 0.743683 -1.560745 -0.784999 0.425883 -0.449890 0.409335 0.569896 +-0.107128 0.746441 -1.521984 -0.784999 0.425883 -0.449890 0.401503 0.591089 +-0.091205 0.790433 -1.508123 -0.784999 0.425883 -0.449890 0.378231 0.566588 +-0.120703 0.732980 -1.476615 -0.954957 0.152178 -0.254755 0.406069 0.607695 +-0.135328 0.717779 -1.430873 -0.954957 0.152178 -0.254755 0.411434 0.625709 +-0.131543 0.777987 -1.409096 -0.954957 0.152178 -0.254755 0.374299 0.611024 +-0.156683 0.761539 -1.356212 -0.908179 0.191685 -0.372112 0.377370 0.640267 +-0.131543 0.777987 -1.409096 -0.908179 0.191685 -0.372112 0.374299 0.611024 +-0.135328 0.717779 -1.430873 -0.908179 0.191685 -0.372112 0.411434 0.625709 +-0.181060 0.684930 -1.327258 -0.883821 0.109314 -0.454875 0.243483 0.482827 +-0.156683 0.761539 -1.356212 -0.883821 0.109314 -0.454875 0.300469 0.479825 +-0.154531 0.678829 -1.380270 -0.883821 0.109314 -0.454875 0.254738 0.509681 +-0.135328 0.717779 -1.430873 -0.948600 0.065387 -0.309649 0.287488 0.514520 +-0.154531 0.678829 -1.380270 -0.948600 0.065387 -0.309649 0.254738 0.509681 +-0.156683 0.761539 -1.356212 -0.948600 0.065387 -0.309649 0.300469 0.479825 +-0.139410 0.611108 -1.362009 -0.519677 -0.848083 0.103393 0.477994 0.648980 +-0.145479 0.619138 -1.326647 -0.519677 -0.848083 0.103393 0.471113 0.653902 +-0.158370 0.622466 -1.364142 -0.519677 -0.848083 0.103393 0.465216 0.666802 +-0.160709 0.631884 -1.327495 -0.639244 -0.753654 0.152883 0.458547 0.667572 +-0.158370 0.622466 -1.364142 -0.639244 -0.753654 0.152883 0.465216 0.666802 +-0.145479 0.619138 -1.326647 -0.639244 -0.753654 0.152883 0.471113 0.653902 +-0.108982 0.939119 -1.462815 -0.418283 0.237294 -0.876773 0.381536 0.380080 +-0.045074 0.950779 -1.490148 -0.418283 0.237294 -0.876773 0.451004 0.372388 +-0.095632 0.916070 -1.475422 -0.418283 0.237294 -0.876773 0.396047 0.395286 +-0.043559 0.920470 -1.502736 -0.461094 0.320595 -0.827412 0.452651 0.392383 +-0.095632 0.916070 -1.475422 -0.461094 0.320595 -0.827412 0.396047 0.395286 +-0.045074 0.950779 -1.490148 -0.461094 0.320595 -0.827412 0.451004 0.372388 +-0.145103 0.918884 -1.397383 -0.822932 0.559831 -0.096808 0.342272 0.393429 +-0.138662 0.925182 -1.415715 -0.822932 0.559831 -0.096808 0.349273 0.389274 +-0.161762 0.896266 -1.386568 -0.822932 0.559831 -0.096808 0.324162 0.408350 +-0.130164 0.909236 -1.431816 -0.829455 0.110767 -0.547481 0.358510 0.399794 +-0.161762 0.896266 -1.386568 -0.829455 0.110767 -0.547481 0.324162 0.408350 +-0.138662 0.925182 -1.415715 -0.829455 0.110767 -0.547481 0.349273 0.389274 +-0.220599 0.913999 -1.216669 -0.934200 -0.038521 -0.354663 0.351513 0.368749 +-0.190512 0.930004 -1.297658 -0.934200 -0.038521 -0.354663 0.377283 0.391488 +-0.216420 0.880489 -1.224037 -0.934200 -0.038521 -0.354663 0.334820 0.383937 +-0.191302 0.896540 -1.311910 -0.959404 0.129381 -0.250607 0.357859 0.402014 +-0.216420 0.880489 -1.224037 -0.959404 0.129381 -0.250607 0.334820 0.383937 +-0.190512 0.930004 -1.297658 -0.959404 0.129381 -0.250607 0.377283 0.391488 +-0.244854 0.861905 -1.124264 -0.994128 0.101591 -0.037264 0.308504 0.363612 +-0.255188 0.812184 -0.984125 -0.994128 0.101591 -0.037264 0.274563 0.370690 +-0.241371 0.904321 -1.101547 -0.994128 0.101591 -0.037264 0.334500 0.352589 +-0.261846 0.862849 -0.969024 -0.981471 -0.076633 -0.175620 0.299614 0.347410 +-0.241371 0.904321 -1.101547 -0.981471 -0.076633 -0.175620 0.334500 0.352589 +-0.255188 0.812184 -0.984125 -0.981471 -0.076633 -0.175620 0.274563 0.370690 +-0.095632 0.916070 -1.475422 -0.466701 0.241164 -0.850899 0.396047 0.395286 +-0.043559 0.920470 -1.502736 -0.466701 0.241164 -0.850899 0.452651 0.392383 +-0.082070 0.881297 -1.492716 -0.466701 0.241164 -0.850899 0.410790 0.418226 +-0.044418 0.878195 -1.529981 -0.614623 0.436104 -0.657307 0.451717 0.420272 +-0.082070 0.881297 -1.492716 -0.614623 0.436104 -0.657307 0.410790 0.418226 +-0.043559 0.920470 -1.502736 -0.614623 0.436104 -0.657307 0.452651 0.392383 +-0.161762 0.896266 -1.386568 -0.828910 0.098273 -0.550682 0.324162 0.408350 +-0.130164 0.909236 -1.431816 -0.828910 0.098273 -0.550682 0.358510 0.399794 +-0.154545 0.867532 -1.402559 -0.828910 0.098273 -0.550682 0.332007 0.427307 +-0.119248 0.879041 -1.452959 -0.825369 0.091703 -0.557097 0.370376 0.419714 +-0.154545 0.867532 -1.402559 -0.825369 0.091703 -0.557097 0.332007 0.427307 +-0.130164 0.909236 -1.431816 -0.825369 0.091703 -0.557097 0.358510 0.399794 +-0.179296 0.883960 -1.351104 -0.955269 0.009258 -0.295592 0.357382 0.417473 +-0.178546 0.860294 -1.354269 -0.955269 0.009258 -0.295592 0.344371 0.426141 +-0.191302 0.896540 -1.311910 -0.955269 0.009258 -0.295592 0.357859 0.402014 +-0.190161 0.840066 -1.294682 -0.971944 -0.086378 -0.218779 0.326451 0.422092 +-0.191302 0.896540 -1.311910 -0.971944 -0.086378 -0.218779 0.357859 0.402014 +-0.178546 0.860294 -1.354269 -0.971944 -0.086378 -0.218779 0.344371 0.426141 +-0.203675 0.795930 -1.233119 -0.950681 -0.112234 -0.289152 0.293915 0.424318 +-0.216420 0.880489 -1.224037 -0.950681 -0.112234 -0.289152 0.334820 0.383937 +-0.190161 0.840066 -1.294682 -0.950681 -0.112234 -0.289152 0.326451 0.422092 +-0.191302 0.896540 -1.311910 -0.950463 -0.108108 -0.291432 0.357859 0.402014 +-0.190161 0.840066 -1.294682 -0.950463 -0.108108 -0.291432 0.326451 0.422092 +-0.216420 0.880489 -1.224037 -0.950463 -0.108108 -0.291432 0.334820 0.383937 +-0.255188 0.812184 -0.984125 -0.967004 -0.209121 -0.145503 0.274563 0.370690 +-0.244854 0.861905 -1.124264 -0.967004 -0.209121 -0.145503 0.308504 0.363612 +-0.240435 0.777716 -1.032634 -0.967004 -0.209121 -0.145503 0.263190 0.396085 +-0.250630 0.812148 -1.151253 -0.992932 0.059591 0.102638 0.277070 0.374964 +-0.240435 0.777716 -1.032634 -0.992932 0.059591 0.102638 0.263190 0.396085 +-0.244854 0.861905 -1.124264 -0.992932 0.059591 0.102638 0.308504 0.363612 +-0.115110 0.963420 -1.457540 -0.451245 0.079159 -0.888883 0.374874 0.364048 +-0.048005 0.980232 -1.490109 -0.451245 0.079159 -0.888883 0.447819 0.352957 +-0.108982 0.939119 -1.462815 -0.451245 0.079159 -0.888883 0.381536 0.380080 +-0.045074 0.950779 -1.490148 -0.387199 -0.037313 -0.921241 0.451004 0.372388 +-0.108982 0.939119 -1.462815 -0.387199 -0.037313 -0.921241 0.381536 0.380080 +-0.048005 0.980232 -1.490109 -0.387199 -0.037313 -0.921241 0.447819 0.352957 +-0.138662 0.925182 -1.415715 -0.868009 -0.288544 -0.404107 0.403309 0.441582 +-0.145103 0.918884 -1.397383 -0.868009 -0.288544 -0.404107 0.396163 0.437681 +-0.147928 0.938309 -1.405185 -0.868009 -0.288544 -0.404107 0.405616 0.428500 +-0.183277 0.941167 -1.375734 -0.612202 -0.369753 -0.698922 0.387630 0.394493 +-0.147928 0.938309 -1.405185 -0.612202 -0.369753 -0.698922 0.405616 0.428500 +-0.145103 0.918884 -1.397383 -0.612202 -0.369753 -0.698922 0.396163 0.437681 +-0.140970 1.195292 -1.081044 -0.352331 0.906920 0.230996 0.450270 0.278701 +-0.063693 1.226234 -1.084658 -0.352331 0.906920 0.230996 0.517349 0.333228 +-0.149071 1.217860 -1.182005 -0.352331 0.906920 0.230996 0.456795 0.262682 +-0.082624 1.230108 -1.177560 -0.185801 0.979430 0.078704 0.506933 0.315299 +-0.149071 1.217860 -1.182005 -0.185801 0.979430 0.078704 0.456795 0.262682 +-0.063693 1.226234 -1.084658 -0.185801 0.979430 0.078704 0.517349 0.333228 +-0.243274 1.101869 -1.109294 -0.852496 0.400829 0.335538 0.445524 0.284306 +-0.212075 1.151285 -1.089059 -0.852496 0.400829 0.335538 0.490866 0.296836 +-0.262511 1.120451 -1.180367 -0.852496 0.400829 0.335538 0.445395 0.260067 +-0.232968 1.172981 -1.184636 -0.823719 0.486876 0.290585 0.491586 0.270001 +-0.262511 1.120451 -1.180367 -0.823719 0.486876 0.290585 0.445395 0.260067 +-0.212075 1.151285 -1.089059 -0.823719 0.486876 0.290585 0.490866 0.296836 +-0.241371 0.904321 -1.101547 -0.979944 -0.078004 -0.183374 0.334500 0.352589 +-0.247114 0.947537 -1.089240 -0.979944 -0.078004 -0.183374 0.355834 0.332672 +-0.220599 0.913999 -1.216669 -0.979944 -0.078004 -0.183374 0.351513 0.368749 +-0.224201 0.939482 -1.213435 -0.978049 -0.116305 -0.172899 0.363973 0.356803 +-0.220599 0.913999 -1.216669 -0.978049 -0.116305 -0.172899 0.351513 0.368749 +-0.247114 0.947537 -1.089240 -0.978049 -0.116305 -0.172899 0.355834 0.332672 +-0.241371 0.904321 -1.101547 -0.972740 0.166387 -0.161528 0.334500 0.352589 +-0.220599 0.913999 -1.216669 -0.972740 0.166387 -0.161528 0.351513 0.368749 +-0.244854 0.861905 -1.124264 -0.972740 0.166387 -0.161528 0.308504 0.363612 +-0.216420 0.880489 -1.224037 -0.957290 -0.057060 -0.283443 0.334820 0.383937 +-0.244854 0.861905 -1.124264 -0.957290 -0.057060 -0.283443 0.308504 0.363612 +-0.220599 0.913999 -1.216669 -0.957290 -0.057060 -0.283443 0.351513 0.368749 +-0.244854 0.861905 -1.124264 -0.945905 0.232531 -0.226259 0.308504 0.363612 +-0.216420 0.880489 -1.224037 -0.945905 0.232531 -0.226259 0.334820 0.383937 +-0.250630 0.812148 -1.151253 -0.945905 0.232531 -0.226259 0.277070 0.374964 +-0.203675 0.795930 -1.233119 -0.871414 -0.079349 -0.484088 0.293915 0.424318 +-0.250630 0.812148 -1.151253 -0.871414 -0.079349 -0.484088 0.277070 0.374964 +-0.216420 0.880489 -1.224037 -0.871414 -0.079349 -0.484088 0.334820 0.383937 +-0.103259 0.674458 -1.263748 0.714203 0.043329 -0.698596 0.448363 0.599860 +-0.134693 0.641700 -1.297916 0.714203 0.043329 -0.698596 0.459946 0.638595 +-0.118153 0.677453 -1.278789 0.714203 0.043329 -0.698596 0.442089 0.614915 +-0.138671 0.637077 -1.308886 0.925633 -0.321022 -0.200371 0.461716 0.643581 +-0.118153 0.677453 -1.278789 0.925633 -0.321022 -0.200371 0.442089 0.614915 +-0.134693 0.641700 -1.297916 0.925633 -0.321022 -0.200371 0.459946 0.638595 +-0.036826 0.697304 -1.238117 0.325501 -0.937855 -0.120322 0.453346 0.526258 +-0.071025 0.686623 -1.247380 0.325501 -0.937855 -0.120322 0.450095 0.563956 +-0.037389 0.701558 -1.272798 0.325501 -0.937855 -0.120322 0.450479 0.526091 +-0.069705 0.690989 -1.278198 0.326531 -0.937683 -0.118857 0.447709 0.561796 +-0.037389 0.701558 -1.272798 0.326531 -0.937683 -0.118857 0.450479 0.526091 +-0.071025 0.686623 -1.247380 0.326531 -0.937683 -0.118857 0.450095 0.563956 +-0.049236 0.712284 -1.606319 -0.392718 0.035729 -0.918965 0.440189 0.536580 +-0.020617 0.702387 -1.618934 -0.392718 0.035729 -0.918965 0.454874 0.508388 +-0.049631 0.680832 -1.607373 -0.392718 0.035729 -0.918965 0.460051 0.542595 +-0.021106 0.670898 -1.614909 -0.291511 -0.116828 -0.949406 0.474733 0.514508 +-0.049631 0.680832 -1.607373 -0.291511 -0.116828 -0.949406 0.460051 0.542595 +-0.020617 0.702387 -1.618934 -0.291511 -0.116828 -0.949406 0.454874 0.508388 +-0.107676 0.689610 -1.558038 -0.746807 0.261327 -0.611545 0.437441 0.601784 +-0.108797 0.725267 -1.541432 -0.746807 0.261327 -0.611545 0.414463 0.596607 +-0.082763 0.687034 -1.589562 -0.746807 0.261327 -0.611545 0.446389 0.576168 +-0.078194 0.717670 -1.582310 -0.750371 0.256157 -0.609366 0.428270 0.565930 +-0.082763 0.687034 -1.589562 -0.750371 0.256157 -0.609366 0.446389 0.576168 +-0.108797 0.725267 -1.541432 -0.750371 0.256157 -0.609366 0.414463 0.596607 +-0.120598 0.684932 -1.513026 -0.957829 0.184328 -0.220425 0.436621 0.616142 +-0.133724 0.673240 -1.465766 -0.957829 0.184328 -0.220425 0.440196 0.631963 +-0.119379 0.712270 -1.495462 -0.957829 0.184328 -0.220425 0.419613 0.609997 +-0.132311 0.698382 -1.445773 -0.959417 0.206568 -0.191962 0.424640 0.626006 +-0.119379 0.712270 -1.495462 -0.959417 0.206568 -0.191962 0.419613 0.609997 +-0.133724 0.673240 -1.465766 -0.959417 0.206568 -0.191962 0.440196 0.631963 +-0.143399 0.669677 -1.414398 -0.941601 -0.004307 -0.336704 0.439620 0.642723 +-0.132311 0.698382 -1.445773 -0.941601 -0.004307 -0.336704 0.424640 0.626006 +-0.132973 0.645172 -1.443241 -0.941601 -0.004307 -0.336704 0.458245 0.636176 +-0.133724 0.673240 -1.465766 -0.998544 0.014890 0.051847 0.440196 0.631963 +-0.132973 0.645172 -1.443241 -0.998544 0.014890 0.051847 0.458245 0.636176 +-0.132311 0.698382 -1.445773 -0.998544 0.014890 0.051847 0.424640 0.626006 +-0.129609 0.603754 -1.405361 -0.751899 -0.652180 -0.096484 0.485542 0.640032 +-0.144608 0.621260 -1.406805 -0.751899 -0.652180 -0.096484 0.470021 0.652612 +-0.118995 0.596255 -1.437387 -0.751899 -0.652180 -0.096484 0.493420 0.630258 +-0.128478 0.627141 -1.442977 -0.839006 -0.335179 -0.428630 0.471018 0.634683 +-0.118995 0.596255 -1.437387 -0.839006 -0.335179 -0.428630 0.493420 0.630258 +-0.144608 0.621260 -1.406805 -0.839006 -0.335179 -0.428630 0.470021 0.652612 +-0.103442 0.607254 -1.413538 0.364922 -0.671706 0.644704 0.490998 0.612020 +-0.122719 0.604309 -1.405695 0.364922 -0.671706 0.644704 0.487211 0.632721 +-0.091602 0.580916 -1.447681 0.364922 -0.671706 0.644704 0.511203 0.604319 +-0.118995 0.596255 -1.437387 -0.430346 -0.885636 0.174502 0.493420 0.630258 +-0.091602 0.580916 -1.447681 -0.430346 -0.885636 0.174502 0.511203 0.604319 +-0.122719 0.604309 -1.405695 -0.430346 -0.885636 0.174502 0.487211 0.632721 +-0.068996 0.624797 -1.417705 0.032799 -0.671237 0.740516 0.489963 0.572843 +-0.062730 0.576113 -1.462112 0.032799 -0.671237 0.740516 0.522727 0.574955 +-0.034491 0.626023 -1.418122 0.032799 -0.671237 0.740516 0.499310 0.536510 +-0.032758 0.575474 -1.470149 0.169916 -0.703957 0.689618 0.531928 0.543700 +-0.034491 0.626023 -1.418122 0.169916 -0.703957 0.689618 0.499310 0.536510 +-0.062730 0.576113 -1.462112 0.169916 -0.703957 0.689618 0.522727 0.574955 +-0.054498 0.623404 -1.294657 -0.309017 0.745182 -0.590941 0.495102 0.557917 +-0.025466 0.627061 -1.305227 -0.309017 0.745182 -0.590941 0.501299 0.526880 +-0.044926 0.584637 -1.348548 -0.309017 0.745182 -0.590941 0.522537 0.554802 +-0.019046 0.580399 -1.364328 -0.253640 0.745605 -0.616230 0.532824 0.528471 +-0.044926 0.584637 -1.348548 -0.253640 0.745605 -0.616230 0.522537 0.554802 +-0.025466 0.627061 -1.305227 -0.253640 0.745605 -0.616230 0.501299 0.526880 +-0.129518 0.638544 -1.292252 0.279797 0.790253 -0.545173 0.463470 0.633740 +-0.081699 0.623371 -1.289704 0.279797 0.790253 -0.545173 0.487141 0.586393 +-0.111650 0.608226 -1.327029 0.279797 0.790253 -0.545173 0.487971 0.620438 +-0.074089 0.590221 -1.339260 0.227174 0.825208 -0.517130 0.510431 0.584332 +-0.111650 0.608226 -1.327029 0.227174 0.825208 -0.517130 0.487971 0.620438 +-0.081699 0.623371 -1.289704 0.227174 0.825208 -0.517130 0.487141 0.586393 +-0.141188 0.632284 -1.289671 -0.389925 0.381318 -0.838186 0.464021 0.647069 +-0.129518 0.638544 -1.292252 -0.389925 0.381318 -0.838186 0.463470 0.633740 +-0.127044 0.615782 -1.303758 -0.389925 0.381318 -0.838186 0.478654 0.635205 +-0.111650 0.608226 -1.327029 -0.782255 0.211225 -0.586055 0.487971 0.620438 +-0.127044 0.615782 -1.303758 -0.782255 0.211225 -0.586055 0.478654 0.635205 +-0.129518 0.638544 -1.292252 -0.782255 0.211225 -0.586055 0.463470 0.633740 +-0.134118 0.661652 -1.124052 -0.498584 -0.807441 0.315361 0.447441 0.634439 +-0.155502 0.630819 -1.236804 -0.498584 -0.807441 0.315361 0.460752 0.662312 +-0.106325 0.609168 -1.214490 -0.498584 -0.807441 0.315361 0.488936 0.614698 +-0.139436 0.619443 -1.274319 -0.433921 -0.896825 0.086123 0.472693 0.647523 +-0.106325 0.609168 -1.214490 -0.433921 -0.896825 0.086123 0.488936 0.614698 +-0.155502 0.630819 -1.236804 -0.433921 -0.896825 0.086123 0.460752 0.662312 +-0.072717 0.602534 -1.196973 -0.225963 -0.925590 0.303684 0.503013 0.580702 +-0.028693 0.593276 -1.192433 -0.225963 -0.925590 0.303684 0.521813 0.536274 +-0.084098 0.641995 -1.085169 -0.225963 -0.925590 0.303684 0.474607 0.585587 +-0.044949 0.622270 -1.066321 -0.496361 -0.857831 0.133239 0.498625 0.548125 +-0.084098 0.641995 -1.085169 -0.496361 -0.857831 0.133239 0.474607 0.585587 +-0.028693 0.593276 -1.192433 -0.496361 -0.857831 0.133239 0.521813 0.536274 +-0.082855 1.147955 -1.405828 0.062879 0.497044 -0.865444 0.409935 0.242309 +-0.000017 1.142934 -1.402693 0.062879 0.497044 -0.865444 0.499982 0.245621 +-0.068456 1.066913 -1.451326 0.062879 0.497044 -0.865444 0.425588 0.295773 +-0.000017 1.064723 -1.458554 -0.067192 0.579897 -0.811914 0.499982 0.297218 +-0.068456 1.066913 -1.451326 -0.067192 0.579897 -0.811914 0.425588 0.295773 +-0.000017 1.142934 -1.402693 -0.067192 0.579897 -0.811914 0.499982 0.245621 +-0.085409 1.217723 -1.291375 0.056625 0.992386 -0.109374 0.378037 0.288506 +-0.082624 1.230108 -1.177560 0.056625 0.992386 -0.109374 0.386373 0.285973 +-0.000017 1.213232 -1.287914 0.056625 0.992386 -0.109374 0.431842 0.364201 +-0.000017 1.226909 -1.171195 0.047376 0.992089 -0.116252 0.439026 0.358741 +-0.000017 1.213232 -1.287914 0.047376 0.992089 -0.116252 0.431842 0.364201 +-0.082624 1.230108 -1.177560 0.047376 0.992089 -0.116252 0.386373 0.285973 +-0.026294 0.556299 -1.280054 -0.096037 -0.917245 0.386573 0.546005 0.540349 +-0.023282 0.541154 -1.315241 -0.096037 -0.917245 0.386573 0.556510 0.539894 +0.000000 0.555177 -1.276184 -0.096037 -0.917245 0.386573 0.554435 0.513028 +-0.000017 0.538588 -1.312755 -0.143102 -0.901289 0.408900 0.564967 0.516000 +0.000000 0.555177 -1.276184 -0.143102 -0.901289 0.408900 0.554435 0.513028 +-0.023282 0.541154 -1.315241 -0.143102 -0.901289 0.408900 0.556510 0.539894 +-0.000017 0.638937 -1.596067 -0.127816 -0.844582 -0.519947 0.501224 0.498128 +-0.000017 0.625376 -1.574039 -0.127816 -0.844582 -0.519947 0.509838 0.500543 +-0.019229 0.641123 -1.594895 -0.127816 -0.844582 -0.519947 0.494197 0.517847 +-0.018495 0.630150 -1.572862 -0.251732 -0.869628 -0.424710 0.501383 0.519033 +-0.019229 0.641123 -1.594895 -0.251732 -0.869628 -0.424710 0.494197 0.517847 +-0.000017 0.625376 -1.574039 -0.251732 -0.869628 -0.424710 0.509838 0.500543 +-0.018653 0.523921 -1.370303 -0.075593 -0.955793 -0.284158 0.568815 0.538118 +-0.013745 0.533006 -1.402167 -0.075593 -0.955793 -0.284158 0.564484 0.531363 +-0.000017 0.522635 -1.370935 -0.075593 -0.955793 -0.284158 0.575100 0.518841 +-0.000017 0.532843 -1.403685 -0.044199 -0.953766 -0.297284 0.568616 0.517023 +-0.000017 0.522635 -1.370935 -0.044199 -0.953766 -0.297284 0.575100 0.518841 +-0.013745 0.533006 -1.402167 -0.044199 -0.953766 -0.297284 0.564484 0.531363 +-0.032348 0.787490 -1.573539 -0.177013 0.406814 -0.896197 0.464838 0.480111 +-0.044418 0.878195 -1.529981 -0.177013 0.406814 -0.896197 0.451717 0.420272 +-0.000017 0.779092 -1.583737 -0.177013 0.406814 -0.896197 0.499982 0.485651 +-0.000017 0.870659 -1.537104 -0.065786 0.452832 -0.889166 0.499982 0.425244 +-0.000017 0.779092 -1.583737 -0.065786 0.452832 -0.889166 0.499982 0.485651 +-0.044418 0.878195 -1.529981 -0.065786 0.452832 -0.889166 0.451717 0.420272 +-0.036826 0.697304 -1.238117 0.135431 -0.983148 -0.122792 0.453346 0.526258 +-0.037389 0.701558 -1.272798 0.135431 -0.983148 -0.122792 0.450479 0.526091 +-0.000017 0.701840 -1.233837 0.135431 -0.983148 -0.122792 0.461267 0.486924 +-0.000017 0.707808 -1.270105 0.174022 -0.971674 -0.159893 0.457476 0.485861 +-0.000017 0.701840 -1.233837 0.174022 -0.971674 -0.159893 0.461267 0.486924 +-0.037389 0.701558 -1.272798 0.174022 -0.971674 -0.159893 0.450479 0.526091 +-0.000017 0.608158 -1.547150 -0.113259 -0.838805 -0.532522 0.520775 0.503609 +-0.000017 0.582671 -1.507004 -0.113259 -0.838805 -0.532522 0.536965 0.508149 +-0.017253 0.609926 -1.546269 -0.113259 -0.838805 -0.532522 0.514594 0.521335 +-0.024074 0.579481 -1.503406 0.022063 -0.816729 -0.576600 0.531931 0.533896 +-0.017253 0.609926 -1.546269 0.022063 -0.816729 -0.576600 0.514594 0.521335 +-0.000017 0.582671 -1.507004 0.022063 -0.816729 -0.576600 0.536965 0.508149 +-0.025466 0.627061 -1.305227 -0.102377 0.818452 -0.565380 0.501299 0.526880 +-0.036736 0.673595 -1.235823 -0.102377 0.818452 -0.565380 0.468433 0.530387 +-0.000017 0.628125 -1.308295 -0.102377 0.818452 -0.565380 0.508092 0.500053 +-0.000017 0.679250 -1.231392 -0.061329 0.831200 -0.552581 0.475617 0.490948 +-0.000017 0.628125 -1.308295 -0.061329 0.831200 -0.552581 0.508092 0.500053 +-0.036736 0.673595 -1.235823 -0.061329 0.831200 -0.552581 0.468433 0.530387 +-0.034491 0.626023 -1.418122 0.054238 -0.715262 0.696749 0.499310 0.536510 +-0.032758 0.575474 -1.470149 0.054238 -0.715262 0.696749 0.531928 0.543700 +-0.000017 0.627442 -1.419349 0.054238 -0.715262 0.696749 0.508525 0.500175 +-0.000017 0.579618 -1.476035 0.208011 -0.747605 0.630728 0.538904 0.508693 +-0.000017 0.627442 -1.419349 0.208011 -0.747605 0.630728 0.508525 0.500175 +-0.032758 0.575474 -1.470149 0.208011 -0.747605 0.630728 0.531928 0.543700 +-0.013745 0.533006 -1.402167 -0.104501 0.223615 -0.969059 0.564484 0.531363 +-0.013929 0.548833 -1.398495 -0.104501 0.223615 -0.969059 0.554376 0.528736 +-0.000017 0.532843 -1.403685 -0.104501 0.223615 -0.969059 0.568616 0.517023 +-0.000017 0.547689 -1.401655 -0.209175 0.132480 -0.968863 0.559186 0.514379 +-0.000017 0.532843 -1.403685 -0.209175 0.132480 -0.968863 0.568616 0.517023 +-0.013929 0.548833 -1.398495 -0.209175 0.132480 -0.968863 0.554376 0.528736 +-0.028693 0.593276 -1.192433 -0.116872 -0.916148 0.383425 0.521813 0.536274 +-0.026294 0.556299 -1.280054 -0.116872 -0.916148 0.383425 0.546005 0.540349 +0.000000 0.591409 -1.188148 -0.116872 -0.916148 0.383425 0.531419 0.506575 +0.000000 0.555177 -1.276184 -0.095044 -0.920559 0.378865 0.554435 0.513028 +0.000000 0.591409 -1.188148 -0.095044 -0.920559 0.378865 0.531419 0.506575 +-0.026294 0.556299 -1.280054 -0.095044 -0.920559 0.378865 0.546005 0.540349 +-0.013929 0.548833 -1.398495 -0.095646 0.723963 -0.683176 0.554376 0.528736 +-0.019046 0.580399 -1.364328 -0.095646 0.723963 -0.683176 0.532824 0.528471 +-0.000017 0.547689 -1.401655 -0.095646 0.723963 -0.683176 0.559186 0.514379 +-0.000017 0.582045 -1.366282 -0.132417 0.711027 -0.690585 0.537363 0.508260 +-0.000017 0.547689 -1.401655 -0.132417 0.711027 -0.690585 0.559186 0.514379 +-0.019046 0.580399 -1.364328 -0.132417 0.711027 -0.690585 0.532824 0.528471 +-0.044949 0.622270 -1.066321 -0.247013 -0.950844 0.186765 0.498625 0.548125 +-0.028693 0.593276 -1.192433 -0.247013 -0.950844 0.186765 0.521813 0.536274 +0.000000 0.611077 -1.063857 -0.247013 -0.950844 0.186765 0.518926 0.503072 +0.000000 0.591409 -1.188148 -0.087275 -0.983941 0.155700 0.531419 0.506575 +0.000000 0.611077 -1.063857 -0.087275 -0.983941 0.155700 0.518926 0.503072 +-0.028693 0.593276 -1.192433 -0.087275 -0.983941 0.155700 0.521813 0.536274 +-0.085409 1.217723 -1.291375 0.065840 0.853381 -0.517113 0.407160 0.196282 +-0.000017 1.213232 -1.287914 0.065840 0.853381 -0.517113 0.499982 0.199245 +-0.085424 1.181174 -1.351693 0.065840 0.853381 -0.517113 0.407143 0.220394 +-0.000017 1.180527 -1.351366 0.008488 0.888842 -0.458136 0.499982 0.220821 +-0.085424 1.181174 -1.351693 0.008488 0.888842 -0.458136 0.407143 0.220394 +-0.000017 1.213232 -1.287914 0.008488 0.888842 -0.458136 0.499982 0.199245 +-0.032758 0.575474 -1.470149 0.108962 -0.989889 -0.090815 0.531928 0.543700 +-0.024074 0.579481 -1.503406 0.108962 -0.989889 -0.090815 0.531931 0.533896 +-0.000017 0.579618 -1.476035 0.108962 -0.989889 -0.090815 0.538904 0.508693 +-0.000017 0.582671 -1.507004 0.116490 -0.988401 -0.097439 0.536965 0.508149 +-0.000017 0.579618 -1.476035 0.116490 -0.988401 -0.097439 0.538904 0.508693 +-0.024074 0.579481 -1.503406 0.116490 -0.988401 -0.097439 0.531931 0.533896 +-0.048005 0.980232 -1.490109 -0.102341 0.289263 -0.951763 0.447819 0.352957 +-0.052771 1.004878 -1.482106 -0.102341 0.289263 -0.951763 0.442638 0.336698 +-0.000017 0.986184 -1.493460 -0.102341 0.289263 -0.951763 0.499982 0.349031 +-0.000017 1.007160 -1.486275 -0.088432 0.322786 -0.942332 0.499982 0.335193 +-0.000017 0.986184 -1.493460 -0.088432 0.322786 -0.942332 0.499982 0.349031 +-0.052771 1.004878 -1.482106 -0.088432 0.322786 -0.942332 0.442638 0.336698 +-0.032348 0.787490 -1.573539 -0.114151 0.558363 -0.821706 0.397373 0.505509 +-0.000017 0.779092 -1.583737 -0.114151 0.558363 -0.821706 0.412195 0.473166 +-0.022231 0.731314 -1.613117 -0.114151 0.558363 -0.821706 0.436026 0.504926 +-0.000017 0.728156 -1.616928 -0.065978 0.544753 -0.835997 0.444551 0.482237 +-0.022231 0.731314 -1.613117 -0.065978 0.544753 -0.835997 0.436026 0.504926 +-0.000017 0.779092 -1.583737 -0.065978 0.544753 -0.835997 0.412195 0.473166 +-0.037389 0.701558 -1.272798 0.111071 -0.870632 0.479231 0.450479 0.526091 +-0.035521 0.670332 -1.329960 0.111071 -0.870632 0.479231 0.470862 0.529697 +-0.000017 0.707808 -1.270105 0.111071 -0.870632 0.479231 0.457476 0.485861 +-0.000017 0.666214 -1.339257 0.035554 -0.856388 0.515106 0.483897 0.493270 +-0.000017 0.707808 -1.270105 0.035554 -0.856388 0.515106 0.457476 0.485861 +-0.035521 0.670332 -1.329960 0.035554 -0.856388 0.515106 0.470862 0.529697 +-0.043559 0.920470 -1.502736 -0.078291 0.379040 -0.922062 0.452651 0.392383 +-0.045074 0.950779 -1.490148 -0.078291 0.379040 -0.922062 0.451004 0.372388 +-0.000017 0.917663 -1.507587 -0.078291 0.379040 -0.922062 0.499982 0.394235 +-0.000017 0.951213 -1.493131 -0.064480 0.394883 -0.916466 0.499982 0.372102 +-0.000017 0.917663 -1.507587 -0.064480 0.394883 -0.916466 0.499982 0.394235 +-0.045074 0.950779 -1.490148 -0.064480 0.394883 -0.916466 0.451004 0.372388 +-0.044418 0.878195 -1.529981 -0.042696 0.541836 -0.839399 0.451717 0.420272 +-0.043559 0.920470 -1.502736 -0.042696 0.541836 -0.839399 0.452651 0.392383 +-0.000017 0.870659 -1.537104 -0.042696 0.541836 -0.839399 0.499982 0.425244 +-0.000017 0.917663 -1.507587 -0.059957 0.530849 -0.845343 0.499982 0.394235 +-0.000017 0.870659 -1.537104 -0.059957 0.530849 -0.845343 0.499982 0.425244 +-0.043559 0.920470 -1.502736 -0.059957 0.530849 -0.845343 0.452651 0.392383 +-0.045074 0.950779 -1.490148 -0.066011 -0.005248 -0.997805 0.451004 0.372388 +-0.048005 0.980232 -1.490109 -0.066011 -0.005248 -0.997805 0.447819 0.352957 +-0.000017 0.951213 -1.493131 -0.066011 -0.005248 -0.997805 0.499982 0.372102 +-0.000017 0.986184 -1.493460 -0.068501 -0.009386 -0.997607 0.499982 0.349031 +-0.000017 0.951213 -1.493131 -0.068501 -0.009386 -0.997607 0.499982 0.372102 +-0.048005 0.980232 -1.490109 -0.068501 -0.009386 -0.997607 0.447819 0.352957 +-0.082624 1.230108 -1.177560 0.036034 0.998762 0.034306 0.386373 0.285973 +-0.063693 1.226234 -1.084658 0.036034 0.998762 0.034306 0.396789 0.303902 +-0.000017 1.226909 -1.171195 0.036034 0.998762 0.034306 0.439026 0.358741 +0.000000 1.231919 -1.086145 -0.090108 0.994210 -0.058548 0.441668 0.356756 +-0.000017 1.226909 -1.171195 -0.090108 0.994210 -0.058548 0.439026 0.358741 +-0.063693 1.226234 -1.084658 -0.090108 0.994210 -0.058548 0.396789 0.303902 +-0.036736 0.673595 -1.235823 0.133662 -0.094938 -0.986469 0.468433 0.530387 +-0.036826 0.697304 -1.238117 0.133662 -0.094938 -0.986469 0.453346 0.526258 +-0.000017 0.679250 -1.231392 0.133662 -0.094938 -0.986469 0.475617 0.490948 +-0.000017 0.701840 -1.233837 0.127803 -0.106722 -0.986041 0.461267 0.486924 +-0.000017 0.679250 -1.231392 0.127803 -0.106722 -0.986041 0.475617 0.490948 +-0.036826 0.697304 -1.238117 0.127803 -0.106722 -0.986041 0.453346 0.526258 +-0.021106 0.670898 -1.614909 -0.203062 -0.121046 -0.971655 0.474733 0.514508 +-0.020617 0.702387 -1.618934 -0.203062 -0.121046 -0.971655 0.454874 0.508388 +-0.000017 0.666344 -1.618749 -0.203062 -0.121046 -0.971655 0.483815 0.493246 +-0.000017 0.698873 -1.622242 -0.175125 -0.105116 -0.978919 0.463151 0.487453 +-0.000017 0.666344 -1.618749 -0.175125 -0.105116 -0.978919 0.483815 0.493246 +-0.020617 0.702387 -1.618934 -0.175125 -0.105116 -0.978919 0.454874 0.508388 +-0.019046 0.580399 -1.364328 -0.130686 0.771176 -0.623063 0.532824 0.528471 +-0.025466 0.627061 -1.305227 -0.130686 0.771176 -0.623063 0.501299 0.526880 +-0.000017 0.582045 -1.366282 -0.130686 0.771176 -0.623063 0.537363 0.508260 +-0.000017 0.628125 -1.308295 -0.107114 0.778399 -0.618564 0.508092 0.500053 +-0.000017 0.582045 -1.366282 -0.107114 0.778399 -0.618564 0.537363 0.508260 +-0.025466 0.627061 -1.305227 -0.107114 0.778399 -0.618564 0.501299 0.526880 +-0.043746 0.606547 -0.981986 -0.386543 -0.907627 -0.163699 0.508966 0.549666 +-0.044949 0.622270 -1.066321 -0.386543 -0.907627 -0.163699 0.498625 0.548125 +0.000000 0.588966 -0.987806 -0.386543 -0.907627 -0.163699 0.532971 0.507010 +0.000000 0.611077 -1.063857 -0.218406 -0.937057 -0.272439 0.518926 0.503072 +0.000000 0.588966 -0.987806 -0.218406 -0.937057 -0.272439 0.532971 0.507010 +-0.044949 0.622270 -1.066321 -0.218406 -0.937057 -0.272439 0.498625 0.548125 +-0.068456 1.066913 -1.451326 -0.081499 0.426378 -0.900866 0.425588 0.295773 +-0.000017 1.064723 -1.458554 -0.081499 0.426378 -0.900866 0.499982 0.297218 +-0.052771 1.004878 -1.482106 -0.081499 0.426378 -0.900866 0.442638 0.336698 +-0.000017 1.007160 -1.486275 -0.089607 0.432139 -0.897344 0.499982 0.335193 +-0.052771 1.004878 -1.482106 -0.089607 0.432139 -0.897344 0.442638 0.336698 +-0.000017 1.064723 -1.458554 -0.089607 0.432139 -0.897344 0.499982 0.297218 +-0.122840 1.061670 -1.432474 -0.338530 0.240484 -0.909706 0.366471 0.299232 +-0.068456 1.066913 -1.451326 -0.338530 0.240484 -0.909706 0.425588 0.295773 +-0.112016 0.988007 -1.455975 -0.338530 0.240484 -0.909706 0.378237 0.347828 +-0.052771 1.004878 -1.482106 -0.455262 0.300703 -0.838042 0.442638 0.336698 +-0.112016 0.988007 -1.455975 -0.455262 0.300703 -0.838042 0.378237 0.347828 +-0.068456 1.066913 -1.451326 -0.455262 0.300703 -0.838042 0.425588 0.295773 +-0.184522 1.012516 -1.353751 -0.910945 0.159493 -0.380448 0.427419 0.369310 +-0.163461 1.039889 -1.392704 -0.910945 0.159493 -0.380448 0.454632 0.379783 +-0.187929 0.952735 -1.370655 -0.910945 0.159493 -0.380448 0.391612 0.386250 +-0.162523 0.950832 -1.393819 -0.673660 0.002157 -0.739038 0.404625 0.410640 +-0.187929 0.952735 -1.370655 -0.673660 0.002157 -0.739038 0.391612 0.386250 +-0.163461 1.039889 -1.392704 -0.673660 0.002157 -0.739038 0.454632 0.379783 +-0.208784 0.949713 -1.327152 -0.985451 0.130381 0.109024 0.378330 0.367771 +-0.204236 0.942053 -1.276883 -0.985451 0.130381 0.109024 0.376507 0.374602 +-0.200161 1.001052 -1.310606 -0.985451 0.130381 0.109024 0.412240 0.358549 +-0.216845 1.004349 -1.256261 -0.953014 -0.098010 -0.286631 0.404856 0.341842 +-0.200161 1.001052 -1.310606 -0.953014 -0.098010 -0.286631 0.412240 0.358549 +-0.204236 0.942053 -1.276883 -0.953014 -0.098010 -0.286631 0.376507 0.374602 +-0.231512 0.999141 -1.201274 -0.962678 -0.064387 -0.262879 0.393766 0.329885 +-0.216845 1.004349 -1.256261 -0.962678 -0.064387 -0.262879 0.404856 0.341842 +-0.224201 0.939482 -1.213435 -0.962678 -0.064387 -0.262879 0.363973 0.356803 +-0.204236 0.942053 -1.276883 -0.948773 -0.091973 -0.302275 0.376507 0.374602 +-0.224201 0.939482 -1.213435 -0.948773 -0.091973 -0.302275 0.363973 0.356803 +-0.216845 1.004349 -1.256261 -0.948773 -0.091973 -0.302275 0.404856 0.341842 +-0.179296 0.883960 -1.351104 -0.900071 0.029615 -0.434735 0.357382 0.417473 +-0.161762 0.896266 -1.386568 -0.900071 0.029615 -0.434735 0.374089 0.429721 +-0.178546 0.860294 -1.354269 -0.900071 0.029615 -0.434735 0.344371 0.426141 +-0.154545 0.867532 -1.402559 -0.896548 0.021048 -0.442446 0.361790 0.446141 +-0.178546 0.860294 -1.354269 -0.896548 0.021048 -0.442446 0.344371 0.426141 +-0.161762 0.896266 -1.386568 -0.896548 0.021048 -0.442446 0.374089 0.429721 +-0.178546 0.860294 -1.354269 -0.867690 -0.189335 -0.459636 0.312884 0.606932 +-0.154545 0.867532 -1.402559 -0.867690 -0.189335 -0.459636 0.336844 0.595559 +-0.131543 0.777987 -1.409096 -0.867690 -0.189335 -0.459636 0.376304 0.646134 +-0.111758 0.786106 -1.457935 -0.895794 -0.201175 -0.396335 0.395687 0.635387 +-0.131543 0.777987 -1.409096 -0.895794 -0.201175 -0.396335 0.376304 0.646134 +-0.154545 0.867532 -1.402559 -0.895794 -0.201175 -0.396335 0.336844 0.595559 +-0.131543 0.777987 -1.409096 -0.907901 0.266606 -0.323476 0.374299 0.611024 +-0.111758 0.786106 -1.457935 -0.907901 0.266606 -0.323476 0.374948 0.588871 +-0.120703 0.732980 -1.476615 -0.907901 0.266606 -0.323476 0.406069 0.607695 +-0.107128 0.746441 -1.521984 -0.948169 0.234896 -0.214011 0.401503 0.591089 +-0.120703 0.732980 -1.476615 -0.948169 0.234896 -0.214011 0.406069 0.607695 +-0.111758 0.786106 -1.457935 -0.948169 0.234896 -0.214011 0.374948 0.588871 +-0.119379 0.712270 -1.495462 -0.971084 0.158184 -0.178814 0.419613 0.609997 +-0.108797 0.725267 -1.541432 -0.971084 0.158184 -0.178814 0.414463 0.596607 +-0.120598 0.684932 -1.513026 -0.971084 0.158184 -0.178814 0.436621 0.616142 +-0.107676 0.689610 -1.558038 -0.959496 0.093587 -0.265725 0.437441 0.601784 +-0.120598 0.684932 -1.513026 -0.959496 0.093587 -0.265725 0.436621 0.616142 +-0.108797 0.725267 -1.541432 -0.959496 0.093587 -0.265725 0.414463 0.596607 +-0.101414 0.680852 -1.557837 -0.674592 -0.519407 -0.524540 0.444842 0.596789 +-0.091737 0.667292 -1.556855 -0.674592 -0.519407 -0.524540 0.456296 0.589077 +-0.114850 0.668639 -1.528464 -0.674592 -0.519407 -0.524540 0.448658 0.613027 +-0.107077 0.649263 -1.541398 -0.767929 0.112825 -0.630520 0.463247 0.608343 +-0.114850 0.668639 -1.528464 -0.767929 0.112825 -0.630520 0.448658 0.613027 +-0.091737 0.667292 -1.556855 -0.767929 0.112825 -0.630520 0.456296 0.589077 +-0.107077 0.649263 -1.541398 -0.486207 -0.292326 -0.823498 0.463247 0.608343 +-0.091737 0.667292 -1.556855 -0.486207 -0.292326 -0.823498 0.456296 0.589077 +-0.085528 0.622349 -1.544567 -0.486207 -0.292326 -0.823498 0.486666 0.590582 +-0.070579 0.651884 -1.562914 -0.454186 -0.292801 -0.841417 0.472292 0.569676 +-0.085528 0.622349 -1.544567 -0.454186 -0.292801 -0.841417 0.486666 0.590582 +-0.091737 0.667292 -1.556855 -0.454186 -0.292801 -0.841417 0.456296 0.589077 +-0.057607 0.610821 -1.545277 -0.033092 -0.670126 -0.741509 0.502183 0.563412 +-0.042597 0.636975 -1.569583 -0.033092 -0.670126 -0.741509 0.489975 0.543044 +-0.017253 0.609926 -1.546269 -0.033092 -0.670126 -0.741509 0.514594 0.521335 +-0.018495 0.630150 -1.572862 -0.294749 -0.767191 -0.569685 0.501383 0.519033 +-0.017253 0.609926 -1.546269 -0.294749 -0.767191 -0.569685 0.514594 0.521335 +-0.042597 0.636975 -1.569583 -0.294749 -0.767191 -0.569685 0.489975 0.543044 +-0.017253 0.609926 -1.546269 -0.111967 -0.793477 -0.598212 0.514594 0.521335 +-0.018495 0.630150 -1.572862 -0.111967 -0.793477 -0.598212 0.501383 0.519033 +-0.000017 0.608158 -1.547150 -0.111967 -0.793477 -0.598212 0.520775 0.503609 +-0.000017 0.625376 -1.574039 -0.244293 -0.816627 -0.522916 0.509838 0.500543 +-0.000017 0.608158 -1.547150 -0.244293 -0.816627 -0.522916 0.520775 0.503609 +-0.018495 0.630150 -1.572862 -0.244293 -0.816627 -0.522916 0.501383 0.519033 +-0.217272 0.685585 -1.235284 -0.877526 0.117254 -0.464972 0.223768 0.448754 +-0.244292 0.753451 -1.167176 -0.877526 0.117254 -0.464972 0.247284 0.400648 +-0.203675 0.795930 -1.233119 -0.877526 0.117254 -0.464972 0.293915 0.424318 +-0.250630 0.812148 -1.151253 -0.862891 0.043419 -0.503521 0.277070 0.374964 +-0.203675 0.795930 -1.233119 -0.862891 0.043419 -0.503521 0.293915 0.424318 +-0.244292 0.753451 -1.167176 -0.862891 0.043419 -0.503521 0.247284 0.400648 +-0.201506 0.656278 -1.208949 -0.880821 -0.473448 0.000443 0.215886 0.473359 +-0.232620 0.714247 -1.119921 -0.880821 -0.473448 0.000443 0.231516 0.424758 +-0.217272 0.685585 -1.235284 -0.880821 -0.473448 0.000443 0.223768 0.448754 +-0.244292 0.753451 -1.167176 -0.942250 -0.332160 -0.042833 0.247284 0.400648 +-0.217272 0.685585 -1.235284 -0.942250 -0.332160 -0.042833 0.223768 0.448754 +-0.232620 0.714247 -1.119921 -0.942250 -0.332160 -0.042833 0.231516 0.424758 +-0.232620 0.714247 -1.119921 -0.666733 -0.709298 0.228833 0.231516 0.424758 +-0.201506 0.656278 -1.208949 -0.666733 -0.709298 0.228833 0.215886 0.473359 +-0.171399 0.683604 -1.036528 -0.666733 -0.709298 0.228833 0.248090 0.492305 +-0.134118 0.661652 -1.124052 -0.149461 -0.972213 0.180178 0.256315 0.534546 +-0.171399 0.683604 -1.036528 -0.149461 -0.972213 0.180178 0.248090 0.492305 +-0.201506 0.656278 -1.208949 -0.149461 -0.972213 0.180178 0.215886 0.473359 +-0.138671 0.637077 -1.308886 0.735734 -0.550710 0.394226 0.461716 0.643581 +-0.146164 0.627509 -1.308268 0.735734 -0.550710 0.394226 0.465594 0.653128 +-0.139116 0.623711 -1.326727 0.735734 -0.550710 0.394226 0.470075 0.646428 +-0.145479 0.619138 -1.326647 0.546605 -0.754197 0.363881 0.471113 0.653902 +-0.139116 0.623711 -1.326727 0.546605 -0.754197 0.363881 0.470075 0.646428 +-0.146164 0.627509 -1.308268 0.546605 -0.754197 0.363881 0.465594 0.653128 +-0.143928 0.636116 -1.296556 0.510645 -0.736447 0.443720 0.460783 0.649255 +-0.146164 0.627509 -1.308268 0.510645 -0.736447 0.443720 0.465594 0.653128 +-0.134693 0.641700 -1.297916 0.510645 -0.736447 0.443720 0.459946 0.638595 +-0.138671 0.637077 -1.308886 0.786276 -0.617371 -0.024947 0.461716 0.643581 +-0.134693 0.641700 -1.297916 0.786276 -0.617371 -0.024947 0.459946 0.638595 +-0.146164 0.627509 -1.308268 0.786276 -0.617371 -0.024947 0.465594 0.653128 +-0.018653 0.523921 -1.370303 -0.055879 -0.954189 0.293939 0.568815 0.538118 +-0.000017 0.522635 -1.370935 -0.055879 -0.954189 0.293939 0.575100 0.518841 +-0.023282 0.541154 -1.315241 -0.055879 -0.954189 0.293939 0.556510 0.539894 +-0.000017 0.538588 -1.312755 -0.133423 -0.955780 0.262076 0.564967 0.516000 +-0.023282 0.541154 -1.315241 -0.133423 -0.955780 0.262076 0.556510 0.539894 +-0.000017 0.522635 -1.370935 -0.133423 -0.955780 0.262076 0.575100 0.518841 +-0.018653 0.523921 -1.370303 -0.163317 -0.945368 0.282146 0.568815 0.538118 +-0.023282 0.541154 -1.315241 -0.163317 -0.945368 0.282146 0.556510 0.539894 +-0.050546 0.530957 -1.365189 -0.163317 -0.945368 0.282146 0.554986 0.570246 +-0.055160 0.544940 -1.320242 -0.156267 -0.947566 0.278747 0.544750 0.572584 +-0.050546 0.530957 -1.365189 -0.156267 -0.947566 0.278747 0.554986 0.570246 +-0.023282 0.541154 -1.315241 -0.156267 -0.947566 0.278747 0.556510 0.539894 +-0.101609 0.577932 -1.353245 -0.869459 -0.458382 -0.184192 0.397253 0.593588 +-0.096499 0.564166 -1.343108 -0.869459 -0.458382 -0.184192 0.400950 0.583605 +-0.107905 0.578042 -1.323799 -0.869459 -0.458382 -0.184192 0.401432 0.599009 +-0.101609 0.577932 -1.353245 -0.912637 -0.359915 -0.193791 0.510161 0.615324 +-0.107905 0.578042 -1.323799 -0.912637 -0.359915 -0.193791 0.508244 0.621894 +-0.127044 0.615782 -1.303758 -0.912637 -0.359915 -0.193791 0.478654 0.635205 +-0.139436 0.619443 -1.274319 -0.898379 -0.272792 -0.344238 0.472693 0.647523 +-0.127044 0.615782 -1.303758 -0.898379 -0.272792 -0.344238 0.478654 0.635205 +-0.107905 0.578042 -1.323799 -0.898379 -0.272792 -0.344238 0.508244 0.621894 +-0.141188 0.632284 -1.289671 -0.835131 -0.465076 -0.293703 0.464021 0.647069 +-0.127044 0.615782 -1.303758 -0.835131 -0.465076 -0.293703 0.478654 0.635205 +-0.139436 0.619443 -1.274319 -0.835131 -0.465076 -0.293703 0.472693 0.647523 +-0.161583 0.634034 -1.276360 -0.491953 -0.870613 -0.004069 0.225411 0.518169 +-0.201506 0.656278 -1.208949 -0.491953 -0.870613 -0.004069 0.215886 0.473359 +-0.164444 0.635710 -1.289065 -0.491953 -0.870613 -0.004069 0.224775 0.514930 +-0.217272 0.685585 -1.235284 -0.773829 -0.599632 -0.204034 0.223768 0.448754 +-0.164444 0.635710 -1.289065 -0.773829 -0.599632 -0.204034 0.224775 0.514930 +-0.201506 0.656278 -1.208949 -0.773829 -0.599632 -0.204034 0.215886 0.473359 +-0.198140 0.684246 -1.282808 -0.835504 -0.443910 -0.323846 0.233621 0.467091 +-0.163789 0.634987 -1.303910 -0.835504 -0.443910 -0.323846 0.224728 0.515786 +-0.217272 0.685585 -1.235284 -0.835504 -0.443910 -0.323846 0.223768 0.448754 +-0.164444 0.635710 -1.289065 -0.683578 -0.729858 0.005386 0.224775 0.514930 +-0.217272 0.685585 -1.235284 -0.683578 -0.729858 0.005386 0.223768 0.448754 +-0.163789 0.634987 -1.303910 -0.683578 -0.729858 0.005386 0.224728 0.515786 +-0.181060 0.684930 -1.327258 -0.877716 -0.335204 -0.342422 0.243483 0.482827 +-0.160709 0.631884 -1.327495 -0.877716 -0.335204 -0.342422 0.224676 0.519709 +-0.198140 0.684246 -1.282808 -0.877716 -0.335204 -0.342422 0.233621 0.467091 +-0.163789 0.634987 -1.303910 -0.826555 -0.561827 -0.034023 0.224728 0.515786 +-0.198140 0.684246 -1.282808 -0.826555 -0.561827 -0.034023 0.233621 0.467091 +-0.160709 0.631884 -1.327495 -0.826555 -0.561827 -0.034023 0.224676 0.519709 +-0.154531 0.678829 -1.380270 -0.895353 -0.065084 -0.440575 0.254738 0.509681 +-0.158370 0.622466 -1.364142 -0.895353 -0.065084 -0.440575 0.220630 0.525066 +-0.181060 0.684930 -1.327258 -0.895353 -0.065084 -0.440575 0.243483 0.482827 +-0.160709 0.631884 -1.327495 -0.933107 -0.358130 0.032481 0.224676 0.519709 +-0.181060 0.684930 -1.327258 -0.933107 -0.358130 0.032481 0.243483 0.482827 +-0.158370 0.622466 -1.364142 -0.933107 -0.358130 0.032481 0.220630 0.525066 +-0.128478 0.627141 -1.442977 -0.875870 -0.224602 -0.427090 0.471018 0.634683 +-0.144608 0.621260 -1.406805 -0.875870 -0.224602 -0.427090 0.470021 0.652612 +-0.132973 0.645172 -1.443241 -0.875870 -0.224602 -0.427090 0.458245 0.636176 +-0.143399 0.669677 -1.414398 -0.947103 -0.026507 -0.319832 0.439620 0.642723 +-0.132973 0.645172 -1.443241 -0.947103 -0.026507 -0.319832 0.458245 0.636176 +-0.144608 0.621260 -1.406805 -0.947103 -0.026507 -0.319832 0.470021 0.652612 +-0.133724 0.673240 -1.465766 -0.981189 -0.136114 -0.136896 0.440196 0.631963 +-0.125978 0.642916 -1.491134 -0.981189 -0.136114 -0.136896 0.461732 0.629256 +-0.132973 0.645172 -1.443241 -0.981189 -0.136114 -0.136896 0.458245 0.636176 +-0.128478 0.627141 -1.442977 -0.961741 -0.241645 -0.129084 0.471018 0.634683 +-0.132973 0.645172 -1.443241 -0.961741 -0.241645 -0.129084 0.458245 0.636176 +-0.125978 0.642916 -1.491134 -0.961741 -0.241645 -0.129084 0.461732 0.629256 +-0.114850 0.668639 -1.528464 -0.949580 -0.040407 -0.310911 0.448658 0.613027 +-0.125978 0.642916 -1.491134 -0.949580 -0.040407 -0.310911 0.461732 0.629256 +-0.120598 0.684932 -1.513026 -0.949580 -0.040407 -0.310911 0.436621 0.616142 +-0.133724 0.673240 -1.465766 -0.962180 -0.018410 -0.271790 0.440196 0.631963 +-0.120598 0.684932 -1.513026 -0.962180 -0.018410 -0.271790 0.436621 0.616142 +-0.125978 0.642916 -1.491134 -0.962180 -0.018410 -0.271790 0.461732 0.629256 +-0.114850 0.668639 -1.528464 -0.916252 0.052999 -0.397081 0.448658 0.613027 +-0.120598 0.684932 -1.513026 -0.916252 0.052999 -0.397081 0.436621 0.616142 +-0.101414 0.680852 -1.557837 -0.916252 0.052999 -0.397081 0.444842 0.596789 +-0.107676 0.689610 -1.558038 -0.777460 -0.562349 -0.281636 0.437441 0.601784 +-0.101414 0.680852 -1.557837 -0.777460 -0.562349 -0.281636 0.444842 0.596789 +-0.120598 0.684932 -1.513026 -0.777460 -0.562349 -0.281636 0.436621 0.616142 +-0.101414 0.680852 -1.557837 -0.647843 -0.476843 -0.594071 0.444842 0.596789 +-0.107676 0.689610 -1.558038 -0.647843 -0.476843 -0.594071 0.437441 0.601784 +-0.077735 0.670632 -1.575456 -0.647843 -0.476843 -0.594071 0.458283 0.573826 +-0.082763 0.687034 -1.589562 -0.650906 -0.599778 -0.465390 0.446389 0.576168 +-0.077735 0.670632 -1.575456 -0.650906 -0.599778 -0.465390 0.458283 0.573826 +-0.107676 0.689610 -1.558038 -0.650906 -0.599778 -0.465390 0.437441 0.601784 +-0.048244 0.652445 -1.589749 -0.338734 -0.508168 -0.791849 0.478491 0.546199 +-0.049631 0.680832 -1.607373 -0.338734 -0.508168 -0.791849 0.460051 0.542595 +-0.019229 0.641123 -1.594895 -0.338734 -0.508168 -0.791849 0.494197 0.517847 +-0.021106 0.670898 -1.614909 -0.384507 -0.531548 -0.754726 0.474733 0.514508 +-0.019229 0.641123 -1.594895 -0.384507 -0.531548 -0.754726 0.494197 0.517847 +-0.049631 0.680832 -1.607373 -0.384507 -0.531548 -0.754726 0.460051 0.542595 +-0.019229 0.641123 -1.594895 -0.113719 -0.559170 -0.821216 0.494197 0.517847 +-0.021106 0.670898 -1.614909 -0.113719 -0.559170 -0.821216 0.474733 0.514508 +-0.000017 0.638937 -1.596067 -0.113719 -0.559170 -0.821216 0.501224 0.498128 +-0.000017 0.666344 -1.618749 -0.267803 -0.614287 -0.742249 0.483815 0.493246 +-0.000017 0.638937 -1.596067 -0.267803 -0.614287 -0.742249 0.501224 0.498128 +-0.021106 0.670898 -1.614909 -0.267803 -0.614287 -0.742249 0.474733 0.514508 +-0.048244 0.652445 -1.589749 -0.610654 -0.701603 -0.367226 0.478491 0.546199 +-0.042597 0.636975 -1.569583 -0.610654 -0.701603 -0.367226 0.489975 0.543044 +-0.077735 0.670632 -1.575456 -0.610654 -0.701603 -0.367226 0.458283 0.573826 +-0.070579 0.651884 -1.562914 -0.475300 -0.607300 -0.636613 0.472292 0.569676 +-0.077735 0.670632 -1.575456 -0.475300 -0.607300 -0.636613 0.458283 0.573826 +-0.042597 0.636975 -1.569583 -0.475300 -0.607300 -0.636613 0.489975 0.543044 +-0.140970 1.195292 -1.081044 -0.530974 0.816913 0.225210 0.555275 0.348492 +-0.149071 1.217860 -1.182005 -0.530974 0.816913 0.225210 0.563586 0.333322 +-0.212075 1.151285 -1.089059 -0.530974 0.816913 0.225210 0.490866 0.296836 +-0.232968 1.172981 -1.184636 -0.458369 0.839828 0.290840 0.491586 0.270001 +-0.212075 1.151285 -1.089059 -0.458369 0.839828 0.290840 0.490866 0.296836 +-0.149071 1.217860 -1.182005 -0.458369 0.839828 0.290840 0.563586 0.333322 +-0.050546 0.530957 -1.365189 -0.279386 -0.924598 0.258963 0.554986 0.570246 +-0.055160 0.544940 -1.320242 -0.279386 -0.924598 0.258963 0.544750 0.572584 +-0.078031 0.542918 -1.352136 -0.279386 -0.924598 0.258963 0.539322 0.596883 +-0.079885 0.553916 -1.324992 -0.377285 -0.867004 0.325514 0.531792 0.596865 +-0.078031 0.542918 -1.352136 -0.377285 -0.867004 0.325514 0.539322 0.596883 +-0.055160 0.544940 -1.320242 -0.377285 -0.867004 0.325514 0.544750 0.572584 +-0.062022 0.560729 -1.284424 -0.365376 -0.875592 0.315973 0.532707 0.576954 +-0.084009 0.566737 -1.293200 -0.365376 -0.875592 0.315973 0.522438 0.598897 +-0.055160 0.544940 -1.320242 -0.365376 -0.875592 0.315973 0.544750 0.572584 +-0.079885 0.553916 -1.324992 -0.376161 -0.875209 0.304158 0.531792 0.596865 +-0.055160 0.544940 -1.320242 -0.376161 -0.875209 0.304158 0.544750 0.572584 +-0.084009 0.566737 -1.293200 -0.376161 -0.875209 0.304158 0.522438 0.598897 +-0.228445 1.165832 -1.270773 -0.455750 0.884767 -0.097363 0.490039 0.276636 +-0.232968 1.172981 -1.184636 -0.455750 0.884767 -0.097363 0.491586 0.270001 +-0.147357 1.206186 -1.283632 -0.455750 0.884767 -0.097363 0.557913 0.338855 +-0.149071 1.217860 -1.182005 -0.466235 0.877956 -0.108714 0.563586 0.333322 +-0.147357 1.206186 -1.283632 -0.466235 0.877956 -0.108714 0.557913 0.338855 +-0.232968 1.172981 -1.184636 -0.466235 0.877956 -0.108714 0.491586 0.270001 +-0.163461 1.039889 -1.392704 -0.705595 0.022720 -0.708251 0.454632 0.379783 +-0.185049 1.120970 -1.368596 -0.705595 0.022720 -0.708251 0.488658 0.332306 +-0.122840 1.061670 -1.432474 -0.705595 0.022720 -0.708251 0.489521 0.410424 +-0.144250 1.142150 -1.389224 -0.544906 0.279817 -0.790431 0.523306 0.363317 +-0.122840 1.061670 -1.432474 -0.544906 0.279817 -0.790431 0.489521 0.410424 +-0.185049 1.120970 -1.368596 -0.544906 0.279817 -0.790431 0.488658 0.332306 +-0.091205 0.790433 -1.508123 -0.810498 0.102522 -0.576699 0.400860 0.478170 +-0.119248 0.879041 -1.452959 -0.810498 0.102522 -0.576699 0.370376 0.419714 +-0.062210 0.790061 -1.548939 -0.810498 0.102522 -0.576699 0.432377 0.478415 +-0.082070 0.881297 -1.492716 -0.714627 0.247597 -0.654220 0.410790 0.418226 +-0.062210 0.790061 -1.548939 -0.714627 0.247597 -0.654220 0.432377 0.478415 +-0.119248 0.879041 -1.452959 -0.714627 0.247597 -0.654220 0.370376 0.419714 +-0.198039 0.698088 -0.974045 -0.577935 -0.814040 -0.057706 0.241530 0.462525 +-0.171399 0.683604 -1.036528 -0.577935 -0.814040 -0.057706 0.248090 0.492305 +-0.106031 0.629367 -0.926096 -0.577935 -0.814040 -0.057706 0.253578 0.571671 +-0.093126 0.644095 -0.998740 -0.340258 -0.907980 -0.244532 0.269093 0.578777 +-0.106031 0.629367 -0.926096 -0.340258 -0.907980 -0.244532 0.253578 0.571671 +-0.171399 0.683604 -1.036528 -0.340258 -0.907980 -0.244532 0.248090 0.492305 +-0.071025 0.686623 -1.247380 0.475127 -0.079924 -0.876280 0.450095 0.563956 +-0.070108 0.663809 -1.244802 0.475127 -0.079924 -0.876280 0.464855 0.567059 +-0.103259 0.674458 -1.263748 0.475127 -0.079924 -0.876280 0.448363 0.599860 +-0.100422 0.653954 -1.255747 0.405774 -0.282982 -0.869062 0.462220 0.600542 +-0.103259 0.674458 -1.263748 0.405774 -0.282982 -0.869062 0.448363 0.599860 +-0.070108 0.663809 -1.244802 0.405774 -0.282982 -0.869062 0.464855 0.567059 +-0.039668 0.554379 -1.391853 -0.319026 0.114454 -0.940810 0.543300 0.554689 +-0.042277 0.536856 -1.393100 -0.319026 0.114454 -0.940810 0.553665 0.560540 +-0.071663 0.565028 -1.379708 -0.319026 0.114454 -0.940810 0.527146 0.586279 +-0.072746 0.548504 -1.377240 -0.488593 -0.097484 -0.867049 0.537325 0.590356 +-0.071663 0.565028 -1.379708 -0.488593 -0.097484 -0.867049 0.527146 0.586279 +-0.042277 0.536856 -1.393100 -0.488593 -0.097484 -0.867049 0.553665 0.560540 +-0.085528 0.622349 -1.544567 -0.203920 -0.440035 -0.874520 0.486666 0.590582 +-0.070579 0.651884 -1.562914 -0.203920 -0.440035 -0.874520 0.472292 0.569676 +-0.057607 0.610821 -1.545277 -0.203920 -0.440035 -0.874520 0.502183 0.563412 +-0.042597 0.636975 -1.569583 -0.432875 -0.467734 -0.770613 0.489975 0.543044 +-0.057607 0.610821 -1.545277 -0.432875 -0.467734 -0.770613 0.502183 0.563412 +-0.070579 0.651884 -1.562914 -0.432875 -0.467734 -0.770613 0.472292 0.569676 +-0.103442 0.607254 -1.413538 0.408164 -0.648913 0.642117 0.490998 0.612020 +-0.091602 0.580916 -1.447681 0.408164 -0.648913 0.642117 0.511203 0.604319 +-0.068996 0.624797 -1.417705 0.408164 -0.648913 0.642117 0.489963 0.572843 +-0.062730 0.576113 -1.462112 0.259623 -0.632347 0.729886 0.522727 0.574955 +-0.068996 0.624797 -1.417705 0.259623 -0.632347 0.729886 0.489963 0.572843 +-0.091602 0.580916 -1.447681 0.259623 -0.632347 0.729886 0.511203 0.604319 +-0.044926 0.584637 -1.348548 -0.026425 0.817929 -0.574712 0.522537 0.554802 +-0.039668 0.554379 -1.391853 -0.026425 0.817929 -0.574712 0.543300 0.554689 +-0.074089 0.590221 -1.339260 -0.026425 0.817929 -0.574712 0.510431 0.584332 +-0.071663 0.565028 -1.379708 0.083668 0.848086 -0.523210 0.527146 0.586279 +-0.074089 0.590221 -1.339260 0.083668 0.848086 -0.523210 0.510431 0.584332 +-0.039668 0.554379 -1.391853 0.083668 0.848086 -0.523210 0.543300 0.554689 +-0.106325 0.609168 -1.214490 -0.358592 -0.860384 0.362148 0.488936 0.614698 +-0.084009 0.566737 -1.293200 -0.358592 -0.860384 0.362148 0.522438 0.598897 +-0.072717 0.602534 -1.196973 -0.358592 -0.860384 0.362148 0.503013 0.580702 +-0.062022 0.560729 -1.284424 -0.377265 -0.852652 0.361462 0.532707 0.576954 +-0.072717 0.602534 -1.196973 -0.377265 -0.852652 0.361462 0.503013 0.580702 +-0.084009 0.566737 -1.293200 -0.377265 -0.852652 0.361462 0.522438 0.598897 +-0.054498 0.623404 -1.294657 -0.108978 0.797669 -0.593167 0.495102 0.557917 +-0.044926 0.584637 -1.348548 -0.108978 0.797669 -0.593167 0.522537 0.554802 +-0.081699 0.623371 -1.289704 -0.108978 0.797669 -0.593167 0.487141 0.586393 +-0.074089 0.590221 -1.339260 -0.018820 0.829692 -0.557904 0.510431 0.584332 +-0.081699 0.623371 -1.289704 -0.018820 0.829692 -0.557904 0.487141 0.586393 +-0.044926 0.584637 -1.348548 -0.018820 0.829692 -0.557904 0.522537 0.554802 +-0.072717 0.602534 -1.196973 -0.326392 -0.901283 0.284881 0.503013 0.580702 +-0.084098 0.641995 -1.085169 -0.326392 -0.901283 0.284881 0.474607 0.585587 +-0.106325 0.609168 -1.214490 -0.326392 -0.901283 0.284881 0.488936 0.614698 +-0.134118 0.661652 -1.124052 -0.538339 -0.790120 0.293092 0.447441 0.634439 +-0.106325 0.609168 -1.214490 -0.538339 -0.790120 0.293092 0.488936 0.614698 +-0.084098 0.641995 -1.085169 -0.538339 -0.790120 0.293092 0.474607 0.585587 +-0.207014 1.147182 -1.323399 -0.476280 0.749610 -0.459611 0.491346 0.302949 +-0.228445 1.165832 -1.270773 -0.476280 0.749610 -0.459611 0.490039 0.276636 +-0.148332 1.172147 -1.343492 -0.476280 0.749610 -0.459611 0.538060 0.349402 +-0.147357 1.206186 -1.283632 -0.455572 0.777004 -0.434418 0.557913 0.338855 +-0.148332 1.172147 -1.343492 -0.455572 0.777004 -0.434418 0.538060 0.349402 +-0.228445 1.165832 -1.270773 -0.455572 0.777004 -0.434418 0.490039 0.276636 +-0.091602 0.580916 -1.447681 -0.283884 -0.922689 -0.260871 0.511203 0.604319 +-0.089700 0.594454 -1.497634 -0.283884 -0.922689 -0.260871 0.503161 0.599917 +-0.062730 0.576113 -1.462112 -0.283884 -0.922689 -0.260871 0.522727 0.574955 +-0.060933 0.582180 -1.501117 -0.403662 -0.901031 -0.158748 0.519400 0.571994 +-0.062730 0.576113 -1.462112 -0.403662 -0.901031 -0.158748 0.522727 0.574955 +-0.089700 0.594454 -1.497634 -0.403662 -0.901031 -0.158748 0.503161 0.599917 +-0.147928 0.938309 -1.405185 -0.734164 -0.305127 -0.606548 0.339200 0.380615 +-0.162523 0.950832 -1.393819 -0.734164 -0.305127 -0.606548 0.323335 0.372353 +-0.115110 0.963420 -1.457540 -0.734164 -0.305127 -0.606548 0.374874 0.364048 +-0.112016 0.988007 -1.455975 -0.807462 0.138115 -0.573524 0.378237 0.347828 +-0.115110 0.963420 -1.457540 -0.807462 0.138115 -0.573524 0.374874 0.364048 +-0.162523 0.950832 -1.393819 -0.807462 0.138115 -0.573524 0.323335 0.372353 +-0.091205 0.790433 -1.508123 -0.705381 0.496777 -0.505619 0.378231 0.566588 +-0.062210 0.790061 -1.548939 -0.705381 0.496777 -0.505619 0.386976 0.536307 +-0.086410 0.743683 -1.560745 -0.705381 0.496777 -0.505619 0.409335 0.569896 +-0.053302 0.738356 -1.597447 -0.615494 0.480245 -0.624925 0.422434 0.536192 +-0.086410 0.743683 -1.560745 -0.615494 0.480245 -0.624925 0.409335 0.569896 +-0.062210 0.790061 -1.548939 -0.615494 0.480245 -0.624925 0.386976 0.536307 +-0.118153 0.677453 -1.278789 0.250861 -0.912043 0.324417 0.442089 0.614915 +-0.119228 0.660955 -1.324339 0.250861 -0.912043 0.324417 0.452253 0.618978 +-0.069705 0.690989 -1.278198 0.250861 -0.912043 0.324417 0.447709 0.561796 +-0.068073 0.667823 -1.327512 0.146295 -0.893496 0.424574 0.462903 0.564214 +-0.069705 0.690989 -1.278198 0.146295 -0.893496 0.424574 0.447709 0.561796 +-0.119228 0.660955 -1.324339 0.146295 -0.893496 0.424574 0.452253 0.618978 +-0.130164 0.909236 -1.431816 -0.784637 0.180661 -0.593048 0.358510 0.399794 +-0.138662 0.925182 -1.415715 -0.784637 0.180661 -0.593048 0.349273 0.389274 +-0.095632 0.916070 -1.475422 -0.784637 0.180661 -0.593048 0.396047 0.395286 +-0.108982 0.939119 -1.462815 -0.811994 -0.163910 -0.560178 0.381536 0.380080 +-0.095632 0.916070 -1.475422 -0.811994 -0.163910 -0.560178 0.396047 0.395286 +-0.138662 0.925182 -1.415715 -0.811994 -0.163910 -0.560178 0.349273 0.389274 +-0.119248 0.879041 -1.452959 -0.720871 0.203334 -0.662571 0.370376 0.419714 +-0.130164 0.909236 -1.431816 -0.720871 0.203334 -0.662571 0.358510 0.399794 +-0.082070 0.881297 -1.492716 -0.720871 0.203334 -0.662571 0.410790 0.418226 +-0.095632 0.916070 -1.475422 -0.784163 0.002787 -0.620549 0.396047 0.395286 +-0.082070 0.881297 -1.492716 -0.784163 0.002787 -0.620549 0.410790 0.418226 +-0.130164 0.909236 -1.431816 -0.784163 0.002787 -0.620549 0.358510 0.399794 +-0.138662 0.925182 -1.415715 -0.820332 -0.132854 -0.556242 0.349273 0.389274 +-0.147928 0.938309 -1.405185 -0.820332 -0.132854 -0.556242 0.339200 0.380615 +-0.108982 0.939119 -1.462815 -0.820332 -0.132854 -0.556242 0.381536 0.380080 +-0.115110 0.963420 -1.457540 -0.824855 -0.086738 -0.558651 0.374874 0.364048 +-0.108982 0.939119 -1.462815 -0.824855 -0.086738 -0.558651 0.381536 0.380080 +-0.147928 0.938309 -1.405185 -0.824855 -0.086738 -0.558651 0.339200 0.380615 +-0.069705 0.690989 -1.278198 0.268418 -0.955309 -0.123843 0.447709 0.561796 +-0.071025 0.686623 -1.247380 0.268418 -0.955309 -0.123843 0.450095 0.563956 +-0.118153 0.677453 -1.278789 0.268418 -0.955309 -0.123843 0.442089 0.614915 +-0.103259 0.674458 -1.263748 0.533560 -0.554377 -0.638733 0.448363 0.599860 +-0.118153 0.677453 -1.278789 0.533560 -0.554377 -0.638733 0.442089 0.614915 +-0.071025 0.686623 -1.247380 0.533560 -0.554377 -0.638733 0.450095 0.563956 +-0.049631 0.680832 -1.607373 -0.468037 0.035470 -0.882996 0.460051 0.542595 +-0.082763 0.687034 -1.589562 -0.468037 0.035470 -0.882996 0.446389 0.576168 +-0.049236 0.712284 -1.606319 -0.468037 0.035470 -0.882996 0.440189 0.536580 +-0.078194 0.717670 -1.582310 -0.584759 0.268420 -0.765511 0.428270 0.565930 +-0.049236 0.712284 -1.606319 -0.584759 0.268420 -0.765511 0.440189 0.536580 +-0.082763 0.687034 -1.589562 -0.584759 0.268420 -0.765511 0.446389 0.576168 +-0.070108 0.663809 -1.244802 -0.022564 0.773227 -0.633727 0.464855 0.567059 +-0.054498 0.623404 -1.294657 -0.022564 0.773227 -0.633727 0.495102 0.557917 +-0.100422 0.653954 -1.255747 -0.022564 0.773227 -0.633727 0.462220 0.600542 +-0.081699 0.623371 -1.289704 -0.128658 0.700564 -0.701895 0.487141 0.586393 +-0.100422 0.653954 -1.255747 -0.128658 0.700564 -0.701895 0.462220 0.600542 +-0.054498 0.623404 -1.294657 -0.128658 0.700564 -0.701895 0.495102 0.557917 +-0.171399 0.683604 -1.036528 -0.460562 -0.887236 0.026351 0.422557 0.669550 +-0.134118 0.661652 -1.124052 -0.460562 -0.887236 0.026351 0.447441 0.634439 +-0.093126 0.644095 -0.998740 -0.460562 -0.887236 0.026351 0.470623 0.594661 +-0.084098 0.641995 -1.085169 -0.355947 -0.934394 -0.014477 0.474607 0.585587 +-0.093126 0.644095 -0.998740 -0.355947 -0.934394 -0.014477 0.470623 0.594661 +-0.134118 0.661652 -1.124052 -0.355947 -0.934394 -0.014477 0.447441 0.634439 +-0.162523 0.950832 -1.393819 -0.776001 -0.000277 -0.630731 0.323335 0.372353 +-0.163461 1.039889 -1.392704 -0.776001 -0.000277 -0.630731 0.322316 0.313601 +-0.112016 0.988007 -1.455975 -0.776001 -0.000277 -0.630731 0.378237 0.347828 +-0.122840 1.061670 -1.432474 -0.724903 0.110409 -0.679946 0.366471 0.299232 +-0.112016 0.988007 -1.455975 -0.724903 0.110409 -0.679946 0.378237 0.347828 +-0.163461 1.039889 -1.392704 -0.724903 0.110409 -0.679946 0.322316 0.313601 +-0.089700 0.594454 -1.497634 -0.390916 -0.775542 -0.495700 0.503161 0.599917 +-0.085528 0.622349 -1.544567 -0.390916 -0.775542 -0.495700 0.486666 0.590582 +-0.060933 0.582180 -1.501117 -0.390916 -0.775542 -0.495700 0.519400 0.571994 +-0.057607 0.610821 -1.545277 -0.335030 -0.778783 -0.530331 0.502183 0.563412 +-0.060933 0.582180 -1.501117 -0.335030 -0.778783 -0.530331 0.519400 0.571994 +-0.085528 0.622349 -1.544567 -0.335030 -0.778783 -0.530331 0.486666 0.590582 +-0.042277 0.536856 -1.393100 -0.477473 -0.820306 -0.314829 0.553665 0.560540 +-0.050546 0.530957 -1.365189 -0.477473 -0.820306 -0.314829 0.554986 0.570246 +-0.072746 0.548504 -1.377240 -0.477473 -0.820306 -0.314829 0.537325 0.590356 +-0.078031 0.542918 -1.352136 -0.493479 -0.821177 -0.286613 0.539322 0.596883 +-0.072746 0.548504 -1.377240 -0.493479 -0.821177 -0.286613 0.537325 0.590356 +-0.050546 0.530957 -1.365189 -0.493479 -0.821177 -0.286613 0.554986 0.570246 +-0.049631 0.680832 -1.607373 -0.483562 -0.478623 -0.732862 0.460051 0.542595 +-0.048244 0.652445 -1.589749 -0.483562 -0.478623 -0.732862 0.478491 0.546199 +-0.082763 0.687034 -1.589562 -0.483562 -0.478623 -0.732862 0.446389 0.576168 +-0.077735 0.670632 -1.575456 -0.617134 -0.613221 -0.493058 0.458283 0.573826 +-0.082763 0.687034 -1.589562 -0.617134 -0.613221 -0.493058 0.446389 0.576168 +-0.048244 0.652445 -1.589749 -0.617134 -0.613221 -0.493058 0.478491 0.546199 +-0.144263 0.917095 -1.389823 -0.712954 0.660478 0.235509 0.343185 0.394610 +-0.145103 0.918884 -1.397383 -0.712954 0.660478 0.235509 0.342272 0.393429 +-0.156965 0.899919 -1.380106 -0.712954 0.660478 0.235509 0.329378 0.405940 +-0.161762 0.896266 -1.386568 -0.744500 0.639703 0.191046 0.324162 0.408350 +-0.156965 0.899919 -1.380106 -0.744500 0.639703 0.191046 0.329378 0.405940 +-0.145103 0.918884 -1.397383 -0.744500 0.639703 0.191046 0.342272 0.393429 +-0.156965 0.899919 -1.380106 -0.487845 0.863768 -0.126145 0.378823 0.432976 +-0.161762 0.896266 -1.386568 -0.487845 0.863768 -0.126145 0.374089 0.429721 +-0.174107 0.894637 -1.349980 -0.487845 0.863768 -0.126145 0.366318 0.418729 +-0.179296 0.883960 -1.351104 -0.854909 0.443772 -0.268694 0.357382 0.417473 +-0.174107 0.894637 -1.349980 -0.854909 0.443772 -0.268694 0.366318 0.418729 +-0.161762 0.896266 -1.386568 -0.854909 0.443772 -0.268694 0.374089 0.429721 +-0.174107 0.894637 -1.349980 -0.881031 0.445059 -0.160333 0.366318 0.418729 +-0.179296 0.883960 -1.351104 -0.881031 0.445059 -0.160333 0.357382 0.417473 +-0.175729 0.902466 -1.319335 -0.881031 0.445059 -0.160333 0.369860 0.414577 +-0.191302 0.896540 -1.311910 -0.485991 0.777813 -0.398522 0.357859 0.402014 +-0.175729 0.902466 -1.319335 -0.485991 0.777813 -0.398522 0.369860 0.414577 +-0.179296 0.883960 -1.351104 -0.485991 0.777813 -0.398522 0.357382 0.417473 +-0.175729 0.902466 -1.319335 -0.480914 0.191890 -0.855511 0.369860 0.414577 +-0.191302 0.896540 -1.311910 -0.480914 0.191890 -0.855511 0.357859 0.402014 +-0.175126 0.923527 -1.314950 -0.480914 0.191890 -0.855511 0.382143 0.408051 +-0.190512 0.930004 -1.297658 -0.649221 0.310952 -0.694133 0.377283 0.391488 +-0.175126 0.923527 -1.314950 -0.649221 0.310952 -0.694133 0.382143 0.408051 +-0.191302 0.896540 -1.311910 -0.649221 0.310952 -0.694133 0.357859 0.402014 +-0.190512 0.930004 -1.297658 -0.457411 -0.886079 -0.075098 0.377283 0.391488 +-0.198518 0.937192 -1.333706 -0.457411 -0.886079 -0.075098 0.376920 0.381584 +-0.175126 0.923527 -1.314950 -0.457411 -0.886079 -0.075098 0.382143 0.408051 +-0.182817 0.932330 -1.335078 -0.306208 -0.909605 -0.280813 0.382872 0.397898 +-0.175126 0.923527 -1.314950 -0.306208 -0.909605 -0.280813 0.382143 0.408051 +-0.198518 0.937192 -1.333706 -0.306208 -0.909605 -0.280813 0.376920 0.381584 +-0.169497 0.931681 -1.373555 -0.551099 -0.826666 -0.113641 0.389892 0.410568 +-0.183277 0.941167 -1.375734 -0.551099 -0.826666 -0.113641 0.387630 0.394493 +-0.144263 0.917095 -1.389823 -0.551099 -0.826666 -0.113641 0.395614 0.439069 +-0.145103 0.918884 -1.397383 -0.554729 -0.821376 -0.132731 0.396163 0.437681 +-0.144263 0.917095 -1.389823 -0.554729 -0.821376 -0.132731 0.395614 0.439069 +-0.183277 0.941167 -1.375734 -0.554729 -0.821376 -0.132731 0.387630 0.394493 +-0.125457 0.914963 -1.349364 -0.654096 0.675867 0.339650 0.363627 0.396016 +-0.144263 0.917095 -1.389823 -0.654096 0.675867 0.339650 0.343185 0.394610 +-0.156965 0.899919 -1.380106 -0.654096 0.675867 0.339650 0.329378 0.405940 +-0.125457 0.914963 -1.349364 -0.384263 0.921457 -0.057091 0.363627 0.396016 +-0.156965 0.899919 -1.380106 -0.384263 0.921457 -0.057091 0.329378 0.405940 +-0.174107 0.894637 -1.349980 -0.384263 0.921457 -0.057091 0.310744 0.409425 +-0.125457 0.914963 -1.349364 -0.370761 0.894933 -0.248256 0.404835 0.457366 +-0.174107 0.894637 -1.349980 -0.370761 0.894933 -0.248256 0.366318 0.418729 +-0.175729 0.902466 -1.319335 -0.370761 0.894933 -0.248256 0.369860 0.414577 +-0.125457 0.914963 -1.349364 -0.537577 0.186600 -0.822308 0.404835 0.457366 +-0.175729 0.902466 -1.319335 -0.537577 0.186600 -0.822308 0.369860 0.414577 +-0.175126 0.923527 -1.314950 -0.537577 0.186600 -0.822308 0.382143 0.408051 +-0.125457 0.914963 -1.349364 -0.339292 -0.902557 -0.265089 0.404835 0.457366 +-0.175126 0.923527 -1.314950 -0.339292 -0.902557 -0.265089 0.382143 0.408051 +-0.182817 0.932330 -1.335078 -0.339292 -0.902557 -0.265089 0.382872 0.397898 +-0.125457 0.914963 -1.349364 -0.421287 -0.894657 0.148677 0.363627 0.396016 +-0.169497 0.931681 -1.373555 -0.421287 -0.894657 0.148677 0.315755 0.384987 +-0.144263 0.917095 -1.389823 -0.421287 -0.894657 0.148677 0.343185 0.394610 +-0.085424 1.181174 -1.351693 0.008460 0.852472 -0.522705 0.407143 0.220394 +-0.000017 1.180527 -1.351366 0.008460 0.852472 -0.522705 0.499982 0.220821 +-0.082855 1.147955 -1.405828 0.008460 0.852472 -0.522705 0.409935 0.242309 +-0.000017 1.142934 -1.402693 0.071081 0.804715 -0.589391 0.499982 0.245621 +-0.082855 1.147955 -1.405828 0.071081 0.804715 -0.589391 0.409935 0.242309 +-0.000017 1.180527 -1.351366 0.071081 0.804715 -0.589391 0.499982 0.220821 +-0.148332 1.172147 -1.343492 -0.188463 0.813388 -0.550347 0.433271 0.281569 +-0.085424 1.181174 -1.351693 -0.188463 0.813388 -0.550347 0.479389 0.332409 +-0.144250 1.142150 -1.389224 -0.188463 0.813388 -0.550347 0.420200 0.297076 +-0.082855 1.147955 -1.405828 -0.218270 0.827121 -0.517908 0.463630 0.347892 +-0.144250 1.142150 -1.389224 -0.218270 0.827121 -0.517908 0.420200 0.297076 +-0.085424 1.181174 -1.351693 -0.218270 0.827121 -0.517908 0.479389 0.332409 +-0.207014 1.147182 -1.323399 -0.478147 0.638744 -0.602811 0.491346 0.302949 +-0.148332 1.172147 -1.343492 -0.478147 0.638744 -0.602811 0.538060 0.349402 +-0.185049 1.120970 -1.368596 -0.478147 0.638744 -0.602811 0.488658 0.332306 +-0.144250 1.142150 -1.389224 -0.583108 0.654456 -0.481325 0.523306 0.363317 +-0.185049 1.120970 -1.368596 -0.583108 0.654456 -0.481325 0.488658 0.332306 +-0.148332 1.172147 -1.343492 -0.583108 0.654456 -0.481325 0.538060 0.349402 +-0.200161 1.001052 -1.310606 -0.930674 0.244135 -0.272478 0.412240 0.358549 +-0.184522 1.012516 -1.353751 -0.930674 0.244135 -0.272478 0.427419 0.369310 +-0.208784 0.949713 -1.327152 -0.930674 0.244135 -0.272478 0.378330 0.367771 +-0.187929 0.952735 -1.370655 -0.893330 0.168694 -0.416537 0.391612 0.386250 +-0.208784 0.949713 -1.327152 -0.893330 0.168694 -0.416537 0.378330 0.367771 +-0.184522 1.012516 -1.353751 -0.893330 0.168694 -0.416537 0.427419 0.369310 +-0.187929 0.952735 -1.370655 -0.884933 -0.164589 -0.435664 0.391612 0.386250 +-0.183277 0.941167 -1.375734 -0.884933 -0.164589 -0.435664 0.387630 0.394493 +-0.208784 0.949713 -1.327152 -0.884933 -0.164589 -0.435664 0.378330 0.367771 +-0.198518 0.937192 -1.333706 -0.806780 -0.484360 -0.338381 0.376920 0.381584 +-0.208784 0.949713 -1.327152 -0.806780 -0.484360 -0.338381 0.378330 0.367771 +-0.183277 0.941167 -1.375734 -0.806780 -0.484360 -0.338381 0.387630 0.394493 +-0.182817 0.932330 -1.335078 -0.301689 -0.949297 -0.088426 0.382872 0.397898 +-0.198518 0.937192 -1.333706 -0.301689 -0.949297 -0.088426 0.376920 0.381584 +-0.169497 0.931681 -1.373555 -0.301689 -0.949297 -0.088426 0.389892 0.410568 +-0.183277 0.941167 -1.375734 -0.518030 -0.813347 -0.264784 0.387630 0.394493 +-0.169497 0.931681 -1.373555 -0.518030 -0.813347 -0.264784 0.389892 0.410568 +-0.198518 0.937192 -1.333706 -0.518030 -0.813347 -0.264784 0.376920 0.381584 +-0.125457 0.914963 -1.349364 -0.309292 -0.946593 -0.091104 0.404835 0.457366 +-0.182817 0.932330 -1.335078 -0.309292 -0.946593 -0.091104 0.382872 0.397898 +-0.169497 0.931681 -1.373555 -0.309292 -0.946593 -0.091104 0.389892 0.410568 +-0.022231 0.731314 -1.613117 -0.140105 0.187684 -0.972186 0.436026 0.504926 +-0.000017 0.728156 -1.616928 -0.140105 0.187684 -0.972186 0.444551 0.482237 +-0.020617 0.702387 -1.618934 -0.140105 0.187684 -0.972186 0.454874 0.508388 +-0.000017 0.698873 -1.622242 -0.126516 0.177119 -0.976024 0.463151 0.487453 +-0.020617 0.702387 -1.618934 -0.126516 0.177119 -0.976024 0.454874 0.508388 +-0.000017 0.728156 -1.616928 -0.126516 0.177119 -0.976024 0.444551 0.482237 +-0.053302 0.738356 -1.597447 -0.393021 0.240699 -0.887467 0.422434 0.536192 +-0.022231 0.731314 -1.613117 -0.393021 0.240699 -0.887467 0.436026 0.504926 +-0.049236 0.712284 -1.606319 -0.393021 0.240699 -0.887467 0.440189 0.536580 +-0.020617 0.702387 -1.618934 -0.349126 0.165981 -0.922259 0.454874 0.508388 +-0.049236 0.712284 -1.606319 -0.349126 0.165981 -0.922259 0.440189 0.536580 +-0.022231 0.731314 -1.613117 -0.349126 0.165981 -0.922259 0.436026 0.504926 +-0.086410 0.743683 -1.560745 -0.675959 0.331945 -0.657945 0.409335 0.569896 +-0.053302 0.738356 -1.597447 -0.675959 0.331945 -0.657945 0.422434 0.536192 +-0.078194 0.717670 -1.582310 -0.675959 0.331945 -0.657945 0.428270 0.565930 +-0.049236 0.712284 -1.606319 -0.610441 0.168181 -0.774001 0.440189 0.536580 +-0.078194 0.717670 -1.582310 -0.610441 0.168181 -0.774001 0.428270 0.565930 +-0.053302 0.738356 -1.597447 -0.610441 0.168181 -0.774001 0.422434 0.536192 +-0.107128 0.746441 -1.521984 -0.765714 0.466779 -0.442492 0.401503 0.591089 +-0.086410 0.743683 -1.560745 -0.765714 0.466779 -0.442492 0.409335 0.569896 +-0.108797 0.725267 -1.541432 -0.765714 0.466779 -0.442492 0.414463 0.596607 +-0.078194 0.717670 -1.582310 -0.746388 0.268923 -0.608757 0.428270 0.565930 +-0.108797 0.725267 -1.541432 -0.746388 0.268923 -0.608757 0.414463 0.596607 +-0.086410 0.743683 -1.560745 -0.746388 0.268923 -0.608757 0.409335 0.569896 +-0.120703 0.732980 -1.476615 -0.957965 0.157170 -0.240003 0.406069 0.607695 +-0.107128 0.746441 -1.521984 -0.957965 0.157170 -0.240003 0.401503 0.591089 +-0.119379 0.712270 -1.495462 -0.957965 0.157170 -0.240003 0.419613 0.609997 +-0.108797 0.725267 -1.541432 -0.962102 0.221685 -0.158793 0.414463 0.596607 +-0.119379 0.712270 -1.495462 -0.962102 0.221685 -0.158793 0.419613 0.609997 +-0.107128 0.746441 -1.521984 -0.962102 0.221685 -0.158793 0.401503 0.591089 +-0.135328 0.717779 -1.430873 -0.956644 0.068637 -0.283057 0.411434 0.625709 +-0.120703 0.732980 -1.476615 -0.956644 0.068637 -0.283057 0.406069 0.607695 +-0.132311 0.698382 -1.445773 -0.956644 0.068637 -0.283057 0.424640 0.626006 +-0.119379 0.712270 -1.495462 -0.967565 0.133382 -0.214538 0.419613 0.609997 +-0.132311 0.698382 -1.445773 -0.967565 0.133382 -0.214538 0.424640 0.626006 +-0.120703 0.732980 -1.476615 -0.967565 0.133382 -0.214538 0.406069 0.607695 +-0.154531 0.678829 -1.380270 -0.945668 0.048563 -0.321485 0.430540 0.652745 +-0.135328 0.717779 -1.430873 -0.945668 0.048563 -0.321485 0.411434 0.625709 +-0.143399 0.669677 -1.414398 -0.945668 0.048563 -0.321485 0.439620 0.642723 +-0.132311 0.698382 -1.445773 -0.958098 0.065229 -0.278915 0.424640 0.626006 +-0.143399 0.669677 -1.414398 -0.958098 0.065229 -0.278915 0.439620 0.642723 +-0.135328 0.717779 -1.430873 -0.958098 0.065229 -0.278915 0.411434 0.625709 +-0.154531 0.678829 -1.380270 -0.952214 -0.022307 -0.304615 0.430540 0.652745 +-0.143399 0.669677 -1.414398 -0.952214 -0.022307 -0.304615 0.439620 0.642723 +-0.158370 0.622466 -1.364142 -0.952214 -0.022307 -0.304615 0.465216 0.666802 +-0.144608 0.621260 -1.406805 -0.951630 -0.024270 -0.306285 0.470021 0.652612 +-0.158370 0.622466 -1.364142 -0.951630 -0.024270 -0.306285 0.465216 0.666802 +-0.143399 0.669677 -1.414398 -0.951630 -0.024270 -0.306285 0.439620 0.642723 +-0.158370 0.622466 -1.364142 -0.497765 -0.856527 -0.136353 0.465216 0.666802 +-0.144608 0.621260 -1.406805 -0.497765 -0.856527 -0.136353 0.470021 0.652612 +-0.139410 0.611108 -1.362009 -0.497765 -0.856527 -0.136353 0.477994 0.648980 +-0.129609 0.603754 -1.405361 -0.755556 -0.652316 -0.060160 0.485542 0.640032 +-0.139410 0.611108 -1.362009 -0.755556 -0.652316 -0.060160 0.477994 0.648980 +-0.144608 0.621260 -1.406805 -0.755556 -0.652316 -0.060160 0.470021 0.652612 +-0.000017 0.627442 -1.419349 0.052483 -0.898840 0.435123 0.508525 0.500175 +-0.000017 0.666214 -1.339257 0.052483 -0.898840 0.435123 0.483897 0.493270 +-0.034491 0.626023 -1.418122 0.052483 -0.898840 0.435123 0.499310 0.536510 +-0.035521 0.670332 -1.329960 0.013996 -0.893348 0.449148 0.470862 0.529697 +-0.034491 0.626023 -1.418122 0.013996 -0.893348 0.449148 0.499310 0.536510 +-0.000017 0.666214 -1.339257 0.013996 -0.893348 0.449148 0.483897 0.493270 +-0.035521 0.670332 -1.329960 0.102136 -0.888349 0.447665 0.470862 0.529697 +-0.068073 0.667823 -1.327512 0.102136 -0.888349 0.447665 0.462903 0.564214 +-0.034491 0.626023 -1.418122 0.102136 -0.888349 0.447665 0.499310 0.536510 +-0.068996 0.624797 -1.417705 0.037248 -0.902083 0.429952 0.489963 0.572843 +-0.034491 0.626023 -1.418122 0.037248 -0.902083 0.429952 0.499310 0.536510 +-0.068073 0.667823 -1.327512 0.037248 -0.902083 0.429952 0.462903 0.564214 +-0.103442 0.607254 -1.413538 0.436858 -0.734393 0.519444 0.490998 0.612020 +-0.068996 0.624797 -1.417705 0.436858 -0.734393 0.519444 0.489963 0.572843 +-0.119228 0.660955 -1.324339 0.436858 -0.734393 0.519444 0.452253 0.618978 +-0.068073 0.667823 -1.327512 0.146294 -0.893432 0.424709 0.462903 0.564214 +-0.119228 0.660955 -1.324339 0.146294 -0.893432 0.424709 0.452253 0.618978 +-0.068996 0.624797 -1.417705 0.146294 -0.893432 0.424709 0.489963 0.572843 +-0.139116 0.623711 -1.326727 0.827848 -0.462424 0.317539 0.470075 0.646428 +-0.132678 0.611443 -1.361377 0.827848 -0.462424 0.317539 0.479757 0.641874 +-0.119228 0.660955 -1.324339 0.827848 -0.462424 0.317539 0.452253 0.618978 +-0.132678 0.611443 -1.361377 0.862871 -0.431398 0.263345 0.479757 0.641874 +-0.122719 0.604309 -1.405695 0.862871 -0.431398 0.263345 0.487211 0.632721 +-0.119228 0.660955 -1.324339 0.862871 -0.431398 0.263345 0.452253 0.618978 +-0.119228 0.660955 -1.324339 0.334335 -0.780107 0.528822 0.452253 0.618978 +-0.122719 0.604309 -1.405695 0.334335 -0.780107 0.528822 0.487211 0.632721 +-0.103442 0.607254 -1.413538 0.334335 -0.780107 0.528822 0.490998 0.612020 +-0.163461 1.039889 -1.392704 -0.857000 -0.067601 -0.510864 0.454632 0.379783 +-0.184522 1.012516 -1.353751 -0.857000 -0.067601 -0.510864 0.427419 0.369310 +-0.203355 1.068720 -1.329595 -0.857000 -0.067601 -0.510864 0.448860 0.332783 +-0.205347 1.042482 -1.318320 -0.896061 -0.116097 -0.428482 0.432869 0.339754 +-0.203355 1.068720 -1.329595 -0.896061 -0.116097 -0.428482 0.448860 0.332783 +-0.184522 1.012516 -1.353751 -0.896061 -0.116097 -0.428482 0.427419 0.369310 +-0.215271 1.027565 -1.295989 -0.839175 -0.199266 -0.506042 0.418901 0.335499 +-0.205347 1.042482 -1.318320 -0.839175 -0.199266 -0.506042 0.432869 0.339754 +-0.200161 1.001052 -1.310606 -0.839175 -0.199266 -0.506042 0.412240 0.358549 +-0.184522 1.012516 -1.353751 -0.907436 -0.183932 -0.377796 0.427419 0.369310 +-0.200161 1.001052 -1.310606 -0.907436 -0.183932 -0.377796 0.412240 0.358549 +-0.205347 1.042482 -1.318320 -0.907436 -0.183932 -0.377796 0.432869 0.339754 +-0.200161 1.001052 -1.310606 -0.893974 -0.370570 -0.251970 0.412240 0.358549 +-0.216845 1.004349 -1.256261 -0.893974 -0.370570 -0.251970 0.404856 0.341842 +-0.215271 1.027565 -1.295989 -0.893974 -0.370570 -0.251970 0.418901 0.335499 +-0.229336 1.029667 -1.271132 -0.731640 -0.575540 -0.365318 0.412291 0.321643 +-0.215271 1.027565 -1.295989 -0.731640 -0.575540 -0.365318 0.418901 0.335499 +-0.216845 1.004349 -1.256261 -0.731640 -0.575540 -0.365318 0.404856 0.341842 +-0.163461 1.039889 -1.392704 -0.858378 -0.077771 -0.507089 0.454632 0.379783 +-0.203355 1.068720 -1.329595 -0.858378 -0.077771 -0.507089 0.448860 0.332783 +-0.185049 1.120970 -1.368596 -0.858378 -0.077771 -0.507089 0.488658 0.332306 +-0.210056 1.096257 -1.325508 -0.827273 -0.119852 -0.548867 0.460766 0.317249 +-0.185049 1.120970 -1.368596 -0.827273 -0.119852 -0.548867 0.488658 0.332306 +-0.203355 1.068720 -1.329595 -0.827273 -0.119852 -0.548867 0.448860 0.332783 +-0.185049 1.120970 -1.368596 -0.880024 0.072010 -0.469439 0.488658 0.332306 +-0.210056 1.096257 -1.325508 -0.880024 0.072010 -0.469439 0.460766 0.317249 +-0.207014 1.147182 -1.323399 -0.880024 0.072010 -0.469439 0.491346 0.302949 +-0.222890 1.114574 -1.307619 -0.773869 0.072286 -0.629207 0.464039 0.299085 +-0.207014 1.147182 -1.323399 -0.773869 0.072286 -0.629207 0.491346 0.302949 +-0.210056 1.096257 -1.325508 -0.773869 0.072286 -0.629207 0.460766 0.317249 +-0.207014 1.147182 -1.323399 -0.875000 0.216455 -0.433038 0.491346 0.302949 +-0.222890 1.114574 -1.307619 -0.875000 0.216455 -0.433038 0.464039 0.299085 +-0.228445 1.165832 -1.270773 -0.875000 0.216455 -0.433038 0.490039 0.276636 +-0.236955 1.116675 -1.282762 -0.829827 0.263612 -0.491830 0.457430 0.285229 +-0.228445 1.165832 -1.270773 -0.829827 0.263612 -0.491830 0.490039 0.276636 +-0.222890 1.114574 -1.307619 -0.829827 0.263612 -0.491830 0.464039 0.299085 +-0.224201 0.939482 -1.213435 -0.885621 -0.013906 -0.464201 0.363973 0.356803 +-0.245808 0.979229 -1.173403 -0.885621 -0.013906 -0.464201 0.374538 0.323224 +-0.231512 0.999141 -1.201274 -0.885621 -0.013906 -0.464201 0.393766 0.329885 +-0.239201 0.997346 -1.174720 -0.916650 0.316549 -0.244028 0.388482 0.323302 +-0.231512 0.999141 -1.201274 -0.916650 0.316549 -0.244028 0.393766 0.329885 +-0.245808 0.979229 -1.173403 -0.916650 0.316549 -0.244028 0.374538 0.323224 +-0.224201 0.939482 -1.213435 -0.923699 -0.353596 -0.147482 0.363973 0.356803 +-0.247114 0.947537 -1.089240 -0.923699 -0.353596 -0.147482 0.355834 0.332672 +-0.245808 0.979229 -1.173403 -0.923699 -0.353596 -0.147482 0.374538 0.323224 +-0.249225 0.975926 -1.146517 -0.903060 -0.397153 -0.163563 0.370769 0.321141 +-0.245808 0.979229 -1.173403 -0.903060 -0.397153 -0.163563 0.374538 0.323224 +-0.247114 0.947537 -1.089240 -0.903060 -0.397153 -0.163563 0.355834 0.332672 +-0.241466 1.081590 -1.230007 -0.928060 -0.221072 -0.299721 0.435021 0.292823 +-0.253992 1.077022 -1.187852 -0.928060 -0.221072 -0.299721 0.425482 0.282651 +-0.248839 1.114913 -1.231756 -0.928060 -0.221072 -0.299721 0.449837 0.274712 +-0.262511 1.120451 -1.180367 -0.959709 -0.146979 -0.239490 0.445395 0.260067 +-0.248839 1.114913 -1.231756 -0.959709 -0.146979 -0.239490 0.449837 0.274712 +-0.253992 1.077022 -1.187852 -0.959709 -0.146979 -0.239490 0.425482 0.282651 +-0.239283 1.047984 -1.257875 -0.879219 -0.476415 -0.001442 0.417166 0.306178 +-0.229336 1.029667 -1.271132 -0.879219 -0.476415 -0.001442 0.412291 0.321643 +-0.239547 1.048406 -1.236328 -0.879219 -0.476415 -0.001442 0.417259 0.305788 +-0.216845 1.004349 -1.256261 -0.892208 -0.451232 -0.018811 0.404856 0.341842 +-0.239547 1.048406 -1.236328 -0.892208 -0.451232 -0.018811 0.417259 0.305788 +-0.229336 1.029667 -1.271132 -0.892208 -0.451232 -0.018811 0.412291 0.321643 +-0.244916 1.045580 -1.193270 -0.961840 -0.270223 -0.042930 0.412677 0.301721 +-0.231512 0.999141 -1.201274 -0.961840 -0.270223 -0.042930 0.393766 0.329885 +-0.236921 1.012875 -1.166535 -0.961840 -0.270223 -0.042930 0.398557 0.320204 +-0.239201 0.997346 -1.174720 -0.929876 0.268866 -0.251081 0.388482 0.323302 +-0.236921 1.012875 -1.166535 -0.929876 0.268866 -0.251081 0.398557 0.320204 +-0.231512 0.999141 -1.201274 -0.929876 0.268866 -0.251081 0.393766 0.329885 +-0.253992 1.077022 -1.187852 -0.929166 -0.216592 -0.299564 0.425482 0.282651 +-0.241466 1.081590 -1.230007 -0.929166 -0.216592 -0.299564 0.435021 0.292823 +-0.244916 1.045580 -1.193270 -0.929166 -0.216592 -0.299564 0.412677 0.301721 +-0.239547 1.048406 -1.236328 -0.991491 -0.033370 -0.125822 0.417259 0.305788 +-0.244916 1.045580 -1.193270 -0.991491 -0.033370 -0.125822 0.412677 0.301721 +-0.241466 1.081590 -1.230007 -0.991491 -0.033370 -0.125822 0.435021 0.292823 +-0.239283 1.047984 -1.257875 -0.971875 -0.235383 -0.007298 0.417166 0.306178 +-0.239547 1.048406 -1.236328 -0.971875 -0.235383 -0.007298 0.417259 0.305788 +-0.245983 1.075521 -1.253788 -0.971875 -0.235383 -0.007298 0.429072 0.290643 +-0.241466 1.081590 -1.230007 -0.973097 -0.096155 0.209372 0.435021 0.292823 +-0.245983 1.075521 -1.253788 -0.973097 -0.096155 0.209372 0.429072 0.290643 +-0.239547 1.048406 -1.236328 -0.973097 -0.096155 0.209372 0.417259 0.305788 +-0.245983 1.075521 -1.253788 -0.982951 0.012873 0.183419 0.429072 0.290643 +-0.241466 1.081590 -1.230007 -0.982951 0.012873 0.183419 0.435021 0.292823 +-0.246879 1.101758 -1.260431 -0.982951 0.012873 0.183419 0.443462 0.280974 +-0.248839 1.114913 -1.231756 -0.976247 -0.214345 0.031604 0.449837 0.274712 +-0.246879 1.101758 -1.260431 -0.976247 -0.214345 0.031604 0.443462 0.280974 +-0.241466 1.081590 -1.230007 -0.976247 -0.214345 0.031604 0.435021 0.292823 +-0.228445 1.165832 -1.270773 -0.952307 0.217147 -0.214378 0.490039 0.276636 +-0.236955 1.116675 -1.282762 -0.952307 0.217147 -0.214378 0.457430 0.285229 +-0.248839 1.114913 -1.231756 -0.952307 0.217147 -0.214378 0.449837 0.274712 +-0.246879 1.101758 -1.260431 -0.928303 0.309819 -0.205584 0.443462 0.280974 +-0.248839 1.114913 -1.231756 -0.928303 0.309819 -0.205584 0.449837 0.274712 +-0.236955 1.116675 -1.282762 -0.928303 0.309819 -0.205584 0.457430 0.285229 +-0.247114 0.947537 -1.089240 -0.993329 -0.044763 -0.106268 0.355834 0.332672 +-0.261458 0.936834 -0.950653 -0.993329 -0.044763 -0.106268 0.341805 0.322866 +-0.250852 0.986752 -1.070818 -0.993329 -0.044763 -0.106268 0.376009 0.315976 +-0.241454 1.025889 -0.975757 -0.975335 0.220657 0.005579 0.403426 0.311586 +-0.250852 0.986752 -1.070818 -0.975335 0.220657 0.005579 0.376009 0.315976 +-0.261458 0.936834 -0.950653 -0.975335 0.220657 0.005579 0.341805 0.322866 +-0.250852 0.986752 -1.070818 -0.995425 0.061559 0.073066 0.376009 0.315976 +-0.241454 1.025889 -0.975757 -0.995425 0.061559 0.073066 0.403426 0.311586 +-0.249772 1.018378 -1.082750 -0.995425 0.061559 0.073066 0.394551 0.306339 +-0.233541 1.070262 -1.041313 -0.964910 0.256315 0.057022 0.432991 0.304045 +-0.249772 1.018378 -1.082750 -0.964910 0.256315 0.057022 0.394551 0.306339 +-0.241454 1.025889 -0.975757 -0.964910 0.256315 0.057022 0.403426 0.311586 +-0.249225 0.975926 -1.146517 -0.994595 0.073669 0.073170 0.370769 0.321141 +-0.247114 0.947537 -1.089240 -0.994595 0.073669 0.073170 0.355834 0.332672 +-0.246537 0.985145 -1.119261 -0.994595 0.073669 0.073170 0.377490 0.320550 +-0.250852 0.986752 -1.070818 -0.994758 -0.054038 -0.086814 0.376009 0.315976 +-0.246537 0.985145 -1.119261 -0.994758 -0.054038 -0.086814 0.377490 0.320550 +-0.247114 0.947537 -1.089240 -0.994758 -0.054038 -0.086814 0.355834 0.332672 +-0.249772 1.018378 -1.082750 -0.964525 0.110117 0.239929 0.394551 0.306339 +-0.233541 1.070262 -1.041313 -0.964525 0.110117 0.239929 0.432991 0.304045 +-0.252712 1.071416 -1.118911 -0.964525 0.110117 0.239929 0.423011 0.285735 +-0.243274 1.101869 -1.109294 -0.946594 0.218490 0.237111 0.445524 0.284306 +-0.252712 1.071416 -1.118911 -0.946594 0.218490 0.237111 0.423011 0.285735 +-0.233541 1.070262 -1.041313 -0.946594 0.218490 0.237111 0.432991 0.304045 +-0.238407 1.004741 -1.125403 -0.904506 0.272423 -0.328107 0.393118 0.321554 +-0.246537 0.985145 -1.119261 -0.904506 0.272423 -0.328107 0.377490 0.320550 +-0.249772 1.018378 -1.082750 -0.904506 0.272423 -0.328107 0.394551 0.306339 +-0.250852 0.986752 -1.070818 -0.996055 0.000534 -0.088740 0.376009 0.315976 +-0.249772 1.018378 -1.082750 -0.996055 0.000534 -0.088740 0.394551 0.306339 +-0.246537 0.985145 -1.119261 -0.996055 0.000534 -0.088740 0.377490 0.320550 +-0.253992 1.077022 -1.187852 -0.981213 -0.192910 0.002531 0.425482 0.282651 +-0.252712 1.071416 -1.118911 -0.981213 -0.192910 0.002531 0.423011 0.285735 +-0.262511 1.120451 -1.180367 -0.981213 -0.192910 0.002531 0.445395 0.260067 +-0.243274 1.101869 -1.109294 -0.933103 0.193458 0.303138 0.445524 0.284306 +-0.262511 1.120451 -1.180367 -0.933103 0.193458 0.303138 0.445395 0.260067 +-0.252712 1.071416 -1.118911 -0.933103 0.193458 0.303138 0.423011 0.285735 +-0.252712 1.071416 -1.118911 -0.978766 -0.204976 0.001504 0.423011 0.285735 +-0.253992 1.077022 -1.187852 -0.978766 -0.204976 0.001504 0.425482 0.282651 +-0.248637 1.051702 -1.153758 -0.978766 -0.204976 0.001504 0.414086 0.296181 +-0.244916 1.045580 -1.193270 -0.961838 -0.269222 -0.048867 0.412677 0.301721 +-0.248637 1.051702 -1.153758 -0.961838 -0.269222 -0.048867 0.414086 0.296181 +-0.253992 1.077022 -1.187852 -0.961838 -0.269222 -0.048867 0.425482 0.282651 +-0.252712 1.071416 -1.118911 -0.942609 -0.222184 -0.249244 0.423011 0.285735 +-0.234143 1.016009 -1.139745 -0.942609 -0.222184 -0.249244 0.401876 0.321747 +-0.249772 1.018378 -1.082750 -0.942609 -0.222184 -0.249244 0.394551 0.306339 +-0.238407 1.004741 -1.125403 -0.963763 0.026904 -0.265398 0.393118 0.321554 +-0.249772 1.018378 -1.082750 -0.963763 0.026904 -0.265398 0.394551 0.306339 +-0.234143 1.016009 -1.139745 -0.963763 0.026904 -0.265398 0.401876 0.321747 +-0.234969 1.017211 -1.155538 -0.929108 -0.369241 0.020491 0.402100 0.320569 +-0.234143 1.016009 -1.139745 -0.929108 -0.369241 0.020491 0.401876 0.321747 +-0.248637 1.051702 -1.153758 -0.929108 -0.369241 0.020491 0.414086 0.296181 +-0.252712 1.071416 -1.118911 -0.934416 -0.345585 0.086237 0.423011 0.285735 +-0.248637 1.051702 -1.153758 -0.934416 -0.345585 0.086237 0.414086 0.296181 +-0.234143 1.016009 -1.139745 -0.934416 -0.345585 0.086237 0.401876 0.321747 +-0.244916 1.045580 -1.193270 -0.960520 -0.274041 -0.047996 0.412677 0.301721 +-0.236921 1.012875 -1.166535 -0.960520 -0.274041 -0.047996 0.398557 0.320204 +-0.248637 1.051702 -1.153758 -0.960520 -0.274041 -0.047996 0.414086 0.296181 +-0.234969 1.017211 -1.155538 -0.881360 -0.364757 0.300262 0.402100 0.320569 +-0.248637 1.051702 -1.153758 -0.881360 -0.364757 0.300262 0.414086 0.296181 +-0.236921 1.012875 -1.166535 -0.881360 -0.364757 0.300262 0.398557 0.320204 +-0.232620 0.714247 -1.119921 -0.750448 -0.564702 0.343423 0.231516 0.424758 +-0.171399 0.683604 -1.036528 -0.750448 -0.564702 0.343423 0.248090 0.492305 +-0.240435 0.777716 -1.032634 -0.750448 -0.564702 0.343423 0.263190 0.396085 +-0.198039 0.698088 -0.974045 -0.793182 -0.573346 -0.205272 0.241530 0.462525 +-0.240435 0.777716 -1.032634 -0.793182 -0.573346 -0.205272 0.263190 0.396085 +-0.171399 0.683604 -1.036528 -0.793182 -0.573346 -0.205272 0.248090 0.492305 +-0.232620 0.714247 -1.119921 -0.975292 -0.210834 0.065984 0.231516 0.424758 +-0.240435 0.777716 -1.032634 -0.975292 -0.210834 0.065984 0.263190 0.396085 +-0.244292 0.753451 -1.167176 -0.975292 -0.210834 0.065984 0.247284 0.400648 +-0.250630 0.812148 -1.151253 -0.991424 -0.120666 0.050184 0.277070 0.374964 +-0.244292 0.753451 -1.167176 -0.991424 -0.120666 0.050184 0.247284 0.400648 +-0.240435 0.777716 -1.032634 -0.991424 -0.120666 0.050184 0.263190 0.396085 +-0.054281 0.576374 -0.924635 -0.633342 -0.630844 -0.448235 0.525040 0.566066 +-0.106031 0.629367 -0.926096 -0.633342 -0.630844 -0.448235 0.476192 0.610792 +-0.043746 0.606547 -0.981986 -0.633342 -0.630844 -0.448235 0.508966 0.549666 +-0.093126 0.644095 -0.998740 -0.527860 -0.809247 -0.257842 0.470623 0.594661 +-0.043746 0.606547 -0.981986 -0.527860 -0.809247 -0.257842 0.508966 0.549666 +-0.106031 0.629367 -0.926096 -0.527860 -0.809247 -0.257842 0.476192 0.610792 +0.000000 0.554331 -0.931320 -0.379804 -0.788623 -0.483552 0.554972 0.513179 +-0.054281 0.576374 -0.924635 -0.379804 -0.788623 -0.483552 0.525040 0.566066 +0.000000 0.588966 -0.987806 -0.379804 -0.788623 -0.483552 0.532971 0.507010 +-0.043746 0.606547 -0.981986 -0.380958 -0.787585 -0.484337 0.508966 0.549666 +0.000000 0.588966 -0.987806 -0.380958 -0.787585 -0.484337 0.532971 0.507010 +-0.054281 0.576374 -0.924635 -0.380958 -0.787585 -0.484337 0.525040 0.566066 +-0.141188 0.632284 -1.289671 -0.312757 -0.877377 -0.363859 0.464021 0.647069 +-0.161583 0.634034 -1.276360 -0.312757 -0.877377 -0.363859 0.456925 0.668104 +-0.143928 0.636116 -1.296556 -0.312757 -0.877377 -0.363859 0.460783 0.649255 +-0.164444 0.635710 -1.289065 -0.026006 -0.991818 -0.124983 0.455021 0.670800 +-0.143928 0.636116 -1.296556 -0.026006 -0.991818 -0.124983 0.460783 0.649255 +-0.161583 0.634034 -1.276360 -0.026006 -0.991818 -0.124983 0.456925 0.668104 +-0.163789 0.634987 -1.303910 -0.384560 -0.922676 0.027970 0.455672 0.670243 +-0.146164 0.627509 -1.308268 -0.384560 -0.922676 0.027970 0.465594 0.653128 +-0.164444 0.635710 -1.289065 -0.384560 -0.922676 0.027970 0.455021 0.670800 +-0.143928 0.636116 -1.296556 0.217068 -0.805907 0.550814 0.460783 0.649255 +-0.164444 0.635710 -1.289065 0.217068 -0.805907 0.550814 0.455021 0.670800 +-0.146164 0.627509 -1.308268 0.217068 -0.805907 0.550814 0.465594 0.653128 +-0.146164 0.627509 -1.308268 -0.276333 -0.878459 0.389807 0.465594 0.653128 +-0.163789 0.634987 -1.303910 -0.276333 -0.878459 0.389807 0.455672 0.670243 +-0.145479 0.619138 -1.326647 -0.276333 -0.878459 0.389807 0.471113 0.653902 +-0.160709 0.631884 -1.327495 -0.642259 -0.766300 0.016946 0.458547 0.667572 +-0.145479 0.619138 -1.326647 -0.642259 -0.766300 0.016946 0.471113 0.653902 +-0.163789 0.634987 -1.303910 -0.642259 -0.766300 0.016946 0.455672 0.670243 +-0.155502 0.630819 -1.236804 -0.551167 -0.834223 0.016929 0.460752 0.662312 +-0.161583 0.634034 -1.276360 -0.551167 -0.834223 0.016929 0.456925 0.668104 +-0.139436 0.619443 -1.274319 -0.551167 -0.834223 0.016929 0.472693 0.647523 +-0.141188 0.632284 -1.289671 -0.422372 -0.718412 -0.552709 0.464021 0.647069 +-0.139436 0.619443 -1.274319 -0.422372 -0.718412 -0.552709 0.472693 0.647523 +-0.161583 0.634034 -1.276360 -0.422372 -0.718412 -0.552709 0.456925 0.668104 +-0.145479 0.619138 -1.326647 0.563582 -0.779396 0.273710 0.471113 0.653902 +-0.139410 0.611108 -1.362009 0.563582 -0.779396 0.273710 0.477994 0.648980 +-0.139116 0.623711 -1.326727 0.563582 -0.779396 0.273710 0.470075 0.646428 +-0.132678 0.611443 -1.361377 0.015287 -0.941653 0.336238 0.479757 0.641874 +-0.139116 0.623711 -1.326727 0.015287 -0.941653 0.336238 0.470075 0.646428 +-0.139410 0.611108 -1.362009 0.015287 -0.941653 0.336238 0.477994 0.648980 +-0.118995 0.596255 -1.437387 0.089920 -0.962693 0.255219 0.493420 0.630258 +-0.122719 0.604309 -1.405695 0.089920 -0.962693 0.255219 0.487211 0.632721 +-0.129609 0.603754 -1.405361 0.089920 -0.962693 0.255219 0.485542 0.640032 +-0.132678 0.611443 -1.361377 0.033439 -0.985532 0.166158 0.479757 0.641874 +-0.139410 0.611108 -1.362009 0.033439 -0.985532 0.166158 0.477994 0.648980 +-0.122719 0.604309 -1.405695 0.033439 -0.985532 0.166158 0.487211 0.632721 +-0.129609 0.603754 -1.405361 0.087844 -0.978639 0.185871 0.485542 0.640032 +-0.122719 0.604309 -1.405695 0.087844 -0.978639 0.185871 0.487211 0.632721 +-0.139410 0.611108 -1.362009 0.087844 -0.978639 0.185871 0.477994 0.648980 +0.017762 0.476638 -1.166412 0.978617 -0.125877 -0.162676 0.645930 0.435588 +0.000071 0.451994 -1.253767 0.978617 -0.125877 -0.162676 0.651528 0.460140 +0.028425 0.592592 -1.191990 0.978617 -0.125877 -0.162676 0.583325 0.390129 +0.000000 0.555181 -1.276185 0.953741 -0.063198 -0.293911 0.591038 0.428915 +0.028425 0.592592 -1.191990 0.953741 -0.063198 -0.293911 0.583325 0.390129 +0.000071 0.451994 -1.253767 0.953741 -0.063198 -0.293911 0.651528 0.460140 +0.028477 0.487267 -1.049551 0.988389 -0.129906 -0.078810 0.645057 0.422021 +0.017762 0.476638 -1.166412 0.988389 -0.129906 -0.078810 0.645930 0.435588 +0.044876 0.622134 -1.066191 0.988389 -0.129906 -0.078810 0.574237 0.365290 +0.028425 0.592592 -1.191990 0.988228 -0.113504 -0.102578 0.583325 0.390129 +0.044876 0.622134 -1.066191 0.988228 -0.113504 -0.102578 0.574237 0.365290 +0.017762 0.476638 -1.166412 0.988228 -0.113504 -0.102578 0.645930 0.435588 +0.040666 0.466243 -0.987166 0.978921 -0.031332 -0.201824 0.663465 0.416631 +0.028477 0.487267 -1.049551 0.978921 -0.031332 -0.201824 0.645057 0.422021 +0.045709 0.606913 -0.984544 0.978921 -0.031332 -0.201824 0.583571 0.369101 +0.044876 0.622134 -1.066191 0.991634 -0.124693 -0.033363 0.574237 0.365290 +0.045709 0.606913 -0.984544 0.991634 -0.124693 -0.033363 0.583571 0.369101 +0.028477 0.487267 -1.049551 0.991634 -0.124693 -0.033363 0.645057 0.422021 +0.043304 0.452842 -0.921943 0.994457 -0.087559 -0.058212 0.672635 0.418148 +0.040666 0.466243 -0.987166 0.994457 -0.087559 -0.058212 0.663465 0.416631 +0.054009 0.576160 -0.924554 0.994457 -0.087559 -0.058212 0.605736 0.370416 +0.045709 0.606913 -0.984544 0.987639 -0.032549 -0.153332 0.583571 0.369101 +0.054009 0.576160 -0.924554 0.987639 -0.032549 -0.153332 0.605736 0.370416 +0.040666 0.466243 -0.987166 0.987639 -0.032549 -0.153332 0.663465 0.416631 +0.044857 0.433364 -0.874260 0.973220 -0.199969 -0.113382 0.590533 0.352340 +0.043304 0.452842 -0.921943 0.973220 -0.199969 -0.113382 0.578344 0.347932 +0.066690 0.541092 -0.876853 0.973220 -0.199969 -0.113382 0.538328 0.298592 +0.054009 0.576160 -0.924554 0.944508 -0.088688 -0.316291 0.511446 0.300200 +0.066690 0.541092 -0.876853 0.944508 -0.088688 -0.316291 0.538328 0.298592 +0.043304 0.452842 -0.921943 0.944508 -0.088688 -0.316291 0.578344 0.347932 +0.040422 0.413537 -0.812548 0.912025 -0.405018 -0.064582 0.599932 0.362634 +0.044857 0.433364 -0.874260 0.912025 -0.405018 -0.064582 0.590533 0.352340 +0.080293 0.503604 -0.814335 0.912025 -0.405018 -0.064582 0.567088 0.296830 +0.066690 0.541092 -0.876853 0.927322 -0.195618 -0.319071 0.538328 0.298592 +0.080293 0.503604 -0.814335 0.927322 -0.195618 -0.319071 0.567088 0.296830 +0.044857 0.433364 -0.874260 0.927322 -0.195618 -0.319071 0.590533 0.352340 +0.039930 0.375737 -0.738402 0.911345 -0.369151 -0.182148 0.621832 0.374573 +0.040422 0.413537 -0.812548 0.911345 -0.369151 -0.182148 0.599932 0.362634 +0.075641 0.462425 -0.735415 0.911345 -0.369151 -0.182148 0.588889 0.313810 +0.080293 0.503604 -0.814335 0.901944 -0.402385 -0.156791 0.567088 0.296830 +0.075641 0.462425 -0.735415 0.901944 -0.402385 -0.156791 0.588889 0.313810 +0.040422 0.413537 -0.812548 0.901944 -0.402385 -0.156791 0.599932 0.362634 +0.040244 0.348705 -0.668088 0.926814 -0.349105 -0.138351 0.637826 0.382468 +0.039930 0.375737 -0.738402 0.926814 -0.349105 -0.138351 0.621832 0.374573 +0.072233 0.433957 -0.668912 0.926814 -0.349105 -0.138351 0.603865 0.325733 +0.075641 0.462425 -0.735415 0.920022 -0.375094 -0.113419 0.588889 0.313810 +0.072233 0.433957 -0.668912 0.920022 -0.375094 -0.113419 0.603865 0.325733 +0.039930 0.375737 -0.738402 0.920022 -0.375094 -0.113419 0.621832 0.374573 +0.038948 0.323235 -0.523525 0.922983 -0.380332 -0.058735 0.652101 0.391443 +0.040244 0.348705 -0.668088 0.922983 -0.380332 -0.058735 0.637826 0.382468 +0.090468 0.448803 -0.527023 0.922983 -0.380332 -0.058735 0.604279 0.303628 +0.072233 0.433957 -0.668912 0.932750 -0.350799 -0.083169 0.603865 0.325733 +0.090468 0.448803 -0.527023 0.932750 -0.350799 -0.083169 0.604279 0.303628 +0.040244 0.348705 -0.668088 0.932750 -0.350799 -0.083169 0.637826 0.382468 +0.043792 0.343618 -0.422016 0.888779 -0.455699 0.049092 0.642579 0.380585 +0.038948 0.323235 -0.523525 0.888779 -0.455699 0.049092 0.652101 0.391443 +0.122302 0.494918 -0.438939 0.888779 -0.455699 0.049092 0.593169 0.258911 +0.090468 0.448803 -0.527023 0.915722 -0.379403 -0.132316 0.604279 0.303628 +0.122302 0.494918 -0.438939 0.915722 -0.379403 -0.132316 0.593169 0.258911 +0.038948 0.323235 -0.523525 0.915722 -0.379403 -0.132316 0.652101 0.391443 +0.122302 0.494918 -0.438939 0.878230 -0.467162 -0.102331 0.593169 0.258911 +0.144772 0.521974 -0.369612 0.878230 -0.467162 -0.102331 0.588547 0.229014 +0.043792 0.343618 -0.422016 0.878230 -0.467162 -0.102331 0.642579 0.380585 +0.044009 0.376249 -0.342730 0.821372 -0.528255 0.215161 0.623571 0.370480 +0.043792 0.343618 -0.422016 0.821372 -0.528255 0.215161 0.642579 0.380585 +0.144772 0.521974 -0.369612 0.821372 -0.528255 0.215161 0.588547 0.229014 +0.049406 0.399098 -0.273320 0.768387 -0.623245 0.145419 0.612881 0.358340 +0.044009 0.376249 -0.342730 0.768387 -0.623245 0.145419 0.623571 0.370480 +0.163313 0.540612 -0.268690 0.768387 -0.623245 0.145419 0.586892 0.205464 +0.144772 0.521974 -0.369612 0.817869 -0.573697 -0.044307 0.588547 0.229014 +0.163313 0.540612 -0.268690 0.817869 -0.573697 -0.044307 0.586892 0.205464 +0.044009 0.376249 -0.342730 0.817869 -0.573697 -0.044307 0.623571 0.370480 +0.044787 0.408909 -0.177356 0.652596 -0.685873 0.322019 0.604825 0.359824 +0.173070 0.533485 -0.171995 0.652596 -0.685873 0.322019 0.595943 0.198206 +0.007276 0.451574 -0.010464 0.652596 -0.685873 0.322019 0.561084 0.383096 +0.000000 0.511473 -0.002516 0.700250 -0.009658 0.713833 0.522355 0.371954 +0.007276 0.451574 -0.010464 0.700250 -0.009658 0.713833 0.561084 0.383096 +0.173070 0.533485 -0.171995 0.700250 -0.009658 0.713833 0.595943 0.198206 +0.163313 0.540612 -0.268690 0.774973 -0.619736 -0.123877 0.586892 0.205464 +0.173070 0.533485 -0.171995 0.774973 -0.619736 -0.123877 0.595943 0.198206 +0.049406 0.399098 -0.273320 0.774973 -0.619736 -0.123877 0.612881 0.358340 +0.044787 0.408909 -0.177356 0.690420 -0.715543 0.106386 0.604825 0.359824 +0.049406 0.399098 -0.273320 0.690420 -0.715543 0.106386 0.612881 0.358340 +0.173070 0.533485 -0.171995 0.690420 -0.715543 0.106386 0.595943 0.198206 +-0.000014 0.439762 -1.159240 1.000000 -0.000091 0.000005 0.581302 0.434347 +-0.000014 0.434445 -1.250245 1.000000 -0.000091 0.000005 0.582721 0.431139 +0.000000 0.591492 -1.188162 1.000000 -0.000091 0.000005 0.540787 0.525880 +0.000000 0.555204 -1.276195 1.000000 -0.000106 0.000044 0.550473 0.503987 +0.000000 0.591492 -1.188162 1.000000 -0.000106 0.000044 0.540787 0.525880 +-0.000014 0.434445 -1.250245 1.000000 -0.000106 0.000044 0.582721 0.431139 +-0.000014 0.441716 -1.050621 1.000000 -0.000083 0.000001 0.580780 0.435526 +-0.000014 0.439762 -1.159240 1.000000 -0.000083 0.000001 0.581302 0.434347 +0.000000 0.611120 -1.063839 1.000000 -0.000083 0.000001 0.535548 0.537721 +0.000000 0.591492 -1.188162 1.000000 -0.000090 0.000014 0.540787 0.525880 +0.000000 0.611120 -1.063839 1.000000 -0.000090 0.000014 0.535548 0.537721 +-0.000014 0.439762 -1.159240 1.000000 -0.000090 0.000014 0.581302 0.434347 +-0.000014 0.434334 -0.986598 1.000000 -0.000091 -0.000010 0.582751 0.431073 +-0.000014 0.441716 -1.050621 1.000000 -0.000091 -0.000010 0.580780 0.435526 +0.000000 0.589001 -0.987748 1.000000 -0.000091 -0.000010 0.541452 0.524376 +0.000000 0.611120 -1.063839 1.000000 -0.000085 -0.000025 0.535548 0.537721 +0.000000 0.589001 -0.987748 1.000000 -0.000085 -0.000025 0.541452 0.524376 +-0.000014 0.441716 -1.050621 1.000000 -0.000085 -0.000025 0.580780 0.435526 +-0.000014 0.417662 -0.932663 1.000000 -0.000102 -0.000032 0.587201 0.421014 +-0.000014 0.434334 -0.986598 1.000000 -0.000102 -0.000032 0.582751 0.431073 +0.000000 0.554330 -0.931298 1.000000 -0.000102 -0.000032 0.550707 0.503459 +0.000000 0.589001 -0.987748 1.000000 -0.000091 -0.000056 0.541452 0.524376 +0.000000 0.554330 -0.931298 1.000000 -0.000091 -0.000056 0.550707 0.503459 +-0.000014 0.434334 -0.986598 1.000000 -0.000091 -0.000056 0.582751 0.431073 +-0.000014 0.399948 -0.880610 1.000000 -0.000121 -0.000041 0.591929 0.410327 +-0.000014 0.417662 -0.932663 1.000000 -0.000121 -0.000041 0.587201 0.421014 +0.000000 0.516288 -0.882034 1.000000 -0.000121 -0.000041 0.560861 0.480509 +0.000000 0.554330 -0.931298 1.000000 -0.000102 -0.000078 0.550707 0.503459 +0.000000 0.516288 -0.882034 1.000000 -0.000102 -0.000078 0.560861 0.480509 +-0.000014 0.417662 -0.932663 1.000000 -0.000102 -0.000078 0.587201 0.421014 +-0.000014 0.374273 -0.822789 1.000000 -0.000134 -0.000060 0.598782 0.394838 +-0.000014 0.399948 -0.880610 1.000000 -0.000134 -0.000060 0.591929 0.410327 +0.000000 0.477658 -0.820980 1.000000 -0.000134 -0.000060 0.571172 0.457204 +0.000000 0.516288 -0.882034 1.000000 -0.000121 -0.000077 0.560861 0.480509 +0.000000 0.477658 -0.820980 1.000000 -0.000121 -0.000077 0.571172 0.457204 +-0.000014 0.399948 -0.880610 1.000000 -0.000121 -0.000077 0.591929 0.410327 +-0.000014 0.339557 -0.744347 1.000000 -0.000157 -0.000070 0.608049 0.373894 +-0.000014 0.374273 -0.822789 1.000000 -0.000157 -0.000070 0.598782 0.394838 +0.000000 0.427930 -0.743088 1.000000 -0.000157 -0.000070 0.584445 0.427203 +0.000000 0.477658 -0.820980 1.000000 -0.000134 -0.000085 0.571172 0.457204 +0.000000 0.427930 -0.743088 1.000000 -0.000134 -0.000085 0.584445 0.427203 +-0.000014 0.374273 -0.822789 1.000000 -0.000134 -0.000085 0.598782 0.394838 +-0.000014 0.321841 -0.681405 1.000000 -0.000166 -0.000047 0.612777 0.363206 +-0.000014 0.339557 -0.744347 1.000000 -0.000166 -0.000047 0.608049 0.373894 +0.000000 0.406746 -0.682874 1.000000 -0.000166 -0.000047 0.590100 0.414422 +0.000000 0.427930 -0.743088 1.000000 -0.000158 -0.000055 0.584445 0.427203 +0.000000 0.406746 -0.682874 1.000000 -0.000158 -0.000055 0.590100 0.414422 +-0.000014 0.339557 -0.744347 1.000000 -0.000158 -0.000055 0.608049 0.373894 +-0.000014 0.321841 -0.681405 1.000000 -0.000165 -0.000031 0.612777 0.363206 +0.000000 0.406746 -0.682874 1.000000 -0.000165 -0.000031 0.590100 0.414422 +-0.000014 0.291564 -0.518173 1.000000 -0.000165 -0.000031 0.620859 0.344940 +0.000000 0.408895 -0.520932 1.000000 -0.000119 0.000002 0.589526 0.415719 +-0.000014 0.291564 -0.518173 1.000000 -0.000119 0.000002 0.620859 0.344940 +0.000000 0.406746 -0.682874 1.000000 -0.000119 0.000002 0.590100 0.414422 +-0.000014 0.316589 -0.422456 1.000000 -0.000127 0.000033 0.614179 0.360037 +-0.000014 0.291564 -0.518173 1.000000 -0.000127 0.000033 0.620859 0.344940 +0.000000 0.424155 -0.433288 1.000000 -0.000127 0.000033 0.585453 0.424925 +0.000000 0.408895 -0.520932 1.000000 -0.000119 0.000021 0.589526 0.415719 +0.000000 0.424155 -0.433288 1.000000 -0.000119 0.000021 0.585453 0.424925 +-0.000014 0.291564 -0.518173 1.000000 -0.000119 0.000021 0.620859 0.344940 +0.000000 0.424155 -0.433288 1.000000 -0.000125 0.000049 0.585453 0.424925 +0.000000 0.450508 -0.365253 1.000000 -0.000125 0.000049 0.578419 0.440824 +-0.000014 0.316589 -0.422456 1.000000 -0.000125 0.000049 0.614179 0.360037 +-0.000014 0.343338 -0.340680 1.000000 -0.000122 0.000040 0.607039 0.376175 +-0.000014 0.316589 -0.422456 1.000000 -0.000122 0.000040 0.614179 0.360037 +0.000000 0.450508 -0.365253 1.000000 -0.000122 0.000040 0.578419 0.440824 +-0.000014 0.368215 -0.278986 1.000000 -0.000108 0.000044 0.600399 0.391183 +-0.000014 0.343338 -0.340680 1.000000 -0.000108 0.000044 0.607039 0.376175 +0.000000 0.498183 -0.278299 1.000000 -0.000108 0.000044 0.565693 0.469586 +0.000000 0.450508 -0.365253 1.000000 -0.000116 0.000064 0.578419 0.440824 +0.000000 0.498183 -0.278299 1.000000 -0.000116 0.000064 0.565693 0.469586 +-0.000014 0.343338 -0.340680 1.000000 -0.000116 0.000064 0.607039 0.376175 +-0.000015 0.418132 -0.003255 1.000000 -0.000161 0.000040 0.587075 0.421298 +-0.000014 0.379905 -0.182662 1.000000 -0.000161 0.000040 0.597279 0.398236 +0.000000 0.511473 -0.002516 1.000000 -0.000161 0.000040 0.562146 0.477604 +0.000000 0.504868 -0.181284 1.000000 -0.000112 0.000004 0.563909 0.473619 +0.000000 0.511473 -0.002516 1.000000 -0.000112 0.000004 0.562146 0.477604 +-0.000014 0.379905 -0.182662 1.000000 -0.000112 0.000004 0.597279 0.398236 +0.000000 0.498183 -0.278299 1.000000 -0.000108 0.000007 0.565693 0.469586 +0.000000 0.504868 -0.181284 1.000000 -0.000108 0.000007 0.563909 0.473619 +-0.000014 0.368215 -0.278986 1.000000 -0.000108 0.000007 0.600399 0.391183 +-0.000014 0.379905 -0.182662 1.000000 -0.000112 0.000014 0.597279 0.398236 +-0.000014 0.368215 -0.278986 1.000000 -0.000112 0.000014 0.600399 0.391183 +0.000000 0.504868 -0.181284 1.000000 -0.000112 0.000014 0.563909 0.473619 +0.021388 1.321433 1.189144 0.409422 0.907706 -0.091889 0.435008 0.383987 +0.000345 1.330903 1.188933 0.409422 0.907706 -0.091889 0.458057 0.378421 +0.028351 1.331795 1.322527 0.409422 0.907706 -0.091889 0.427645 0.376930 +0.000345 1.341137 1.325265 0.309361 0.948277 -0.071184 0.458257 0.371673 +0.028351 1.331795 1.322527 0.309361 0.948277 -0.071184 0.427645 0.376930 +0.000345 1.330903 1.188933 0.309361 0.948277 -0.071184 0.458057 0.378421 +0.043068 1.305744 1.325265 0.870750 0.481358 -0.100442 0.411145 0.393633 +0.032032 1.297192 1.188607 0.870750 0.481358 -0.100442 0.422968 0.399628 +0.028351 1.331795 1.322527 0.870750 0.481358 -0.100442 0.427645 0.376930 +0.021388 1.321433 1.189144 0.912125 0.402254 -0.078865 0.435008 0.383987 +0.028351 1.331795 1.322527 0.912125 0.402254 -0.078865 0.427645 0.376930 +0.032032 1.297192 1.188607 0.912125 0.402254 -0.078865 0.422968 0.399628 +0.032060 1.297206 1.188684 0.911371 0.409740 -0.038946 0.422937 0.399618 +0.021185 1.321447 1.189232 0.911371 0.409740 -0.038946 0.435229 0.383984 +0.037459 1.297919 1.322527 0.911371 0.409740 -0.038946 0.417086 0.398974 +0.028212 1.328228 1.325265 0.952886 0.296499 -0.064003 0.427726 0.379286 +0.037459 1.297919 1.322527 0.952886 0.296499 -0.064003 0.417086 0.398974 +0.021185 1.321447 1.189232 0.952886 0.296499 -0.064003 0.435229 0.383984 +0.028212 1.269463 1.325265 0.946439 -0.314560 -0.072841 0.340897 0.357250 +0.019151 1.273409 1.190492 0.946439 -0.314560 -0.072841 0.343974 0.347539 +0.037459 1.297919 1.322527 0.946439 -0.314560 -0.072841 0.319660 0.355683 +0.032060 1.297206 1.188684 0.877476 -0.478494 -0.032847 0.323201 0.350980 +0.037459 1.297919 1.322527 0.877476 -0.478494 -0.032847 0.319660 0.355683 +0.019151 1.273409 1.190492 0.877476 -0.478494 -0.032847 0.343974 0.347539 +0.019341 1.320054 1.278736 0.447665 0.881145 -0.152250 0.437205 0.384963 +0.000345 1.329842 1.279529 0.447665 0.881145 -0.152250 0.458036 0.379121 +0.032102 1.336557 1.411768 0.447665 0.881145 -0.152250 0.423662 0.373668 +0.000345 1.349172 1.414506 0.356034 0.925035 -0.132474 0.458415 0.366375 +0.032102 1.336557 1.411768 0.356034 0.925035 -0.132474 0.423662 0.373668 +0.000345 1.329842 1.279529 0.356034 0.925035 -0.132474 0.458036 0.379121 +0.046819 1.306895 1.414506 0.891650 0.429065 -0.144440 0.407092 0.392753 +0.029357 1.297506 1.278820 0.891650 0.429065 -0.144440 0.425880 0.399508 +0.032102 1.336557 1.411768 0.891650 0.429065 -0.144440 0.423662 0.373668 +0.019341 1.320054 1.278736 0.905503 0.401721 -0.136694 0.437205 0.384963 +0.032102 1.336557 1.411768 0.905503 0.401721 -0.136694 0.423662 0.373668 +0.029357 1.297506 1.278820 0.905503 0.401721 -0.136694 0.425880 0.399508 +0.029808 1.297729 1.280044 0.864135 0.497524 -0.075766 0.425395 0.399346 +0.016836 1.320225 1.279816 0.864135 0.497524 -0.075766 0.439929 0.384930 +0.041210 1.297985 1.411768 0.864135 0.497524 -0.075766 0.413011 0.398809 +0.031963 1.332496 1.414506 0.954881 0.266287 -0.131503 0.423734 0.376350 +0.041210 1.297985 1.411768 0.954881 0.266287 -0.131503 0.413011 0.398809 +0.016836 1.320225 1.279816 0.954881 0.266287 -0.131503 0.439929 0.384930 +0.031963 1.265585 1.414506 0.953354 -0.281333 -0.109396 0.340873 0.362064 +0.019007 1.274121 1.279646 0.953354 -0.281333 -0.109396 0.343661 0.347155 +0.041210 1.297985 1.411768 0.953354 -0.281333 -0.109396 0.317440 0.359103 +0.029808 1.297729 1.280044 0.907091 -0.413698 -0.077714 0.324221 0.348728 +0.041210 1.297985 1.411768 0.907091 -0.413698 -0.077714 0.317440 0.359103 +0.019007 1.274121 1.279646 0.907091 -0.413698 -0.077714 0.343661 0.347155 +0.018579 1.318616 1.349450 0.425503 0.882559 -0.200093 0.438005 0.385935 +0.000351 1.327387 1.349374 0.425503 0.882559 -0.200093 0.457981 0.380739 +0.031193 1.336420 1.454803 0.425503 0.882559 -0.200093 0.424648 0.373788 +0.000403 1.349535 1.457243 0.372410 0.909068 -0.186832 0.458359 0.366133 +0.031193 1.336420 1.454803 0.372410 0.909068 -0.186832 0.424648 0.373788 +0.000351 1.327387 1.349374 0.372410 0.909068 -0.186832 0.457981 0.380739 +0.043650 1.305102 1.457243 0.922062 0.354688 -0.154912 0.410499 0.394038 +0.028506 1.297508 1.349716 0.922062 0.354688 -0.154912 0.426805 0.399534 +0.031193 1.336420 1.454803 0.922062 0.354688 -0.154912 0.424648 0.373788 +0.018579 1.318616 1.349450 0.891457 0.417015 -0.177208 0.438005 0.385935 +0.031193 1.336420 1.454803 0.891457 0.417015 -0.177208 0.424648 0.373788 +0.028506 1.297508 1.349716 0.891457 0.417015 -0.177208 0.426805 0.399534 +0.027913 1.297786 1.349942 0.906940 0.398757 -0.135841 0.427455 0.399369 +0.018732 1.318464 1.349345 0.906940 0.398757 -0.135841 0.437835 0.386031 +0.043483 1.298095 1.454802 0.906940 0.398757 -0.135841 0.410543 0.398663 +0.037113 1.333909 1.457243 0.964165 0.184484 -0.190659 0.418166 0.375253 +0.043483 1.298095 1.454802 0.964165 0.184484 -0.190659 0.410543 0.398663 +0.018732 1.318464 1.349345 0.964165 0.184484 -0.190659 0.437835 0.386031 +0.037113 1.264473 1.457243 0.965049 -0.195507 -0.174518 0.338495 0.367184 +0.020142 1.276685 1.349716 0.965049 -0.195507 -0.174518 0.341572 0.347290 +0.043483 1.298095 1.454802 0.965049 -0.195507 -0.174518 0.316055 0.361151 +0.027913 1.297786 1.349942 0.930003 -0.341030 -0.137085 0.325292 0.346968 +0.043483 1.298095 1.454802 0.930003 -0.341030 -0.137085 0.316055 0.361151 +0.020142 1.276685 1.349716 0.930003 -0.341030 -0.137085 0.341572 0.347290 +0.018579 1.318616 1.392219 0.426556 0.884858 -0.187286 0.438005 0.385935 +0.000351 1.327387 1.392143 0.426556 0.884858 -0.187286 0.457981 0.380739 +0.027067 1.336823 1.497572 0.426556 0.884858 -0.187286 0.429139 0.373655 +0.000403 1.349143 1.500012 0.398737 0.898926 -0.181496 0.458351 0.366392 +0.027067 1.336823 1.497572 0.398737 0.898926 -0.181496 0.429139 0.373655 +0.000351 1.327387 1.392143 0.398737 0.898926 -0.181496 0.457981 0.380739 +0.039524 1.305181 1.500012 0.926854 0.355609 -0.120348 0.414983 0.394119 +0.028506 1.297508 1.392485 0.926854 0.355609 -0.120348 0.426805 0.399534 +0.027067 1.336823 1.497572 0.926854 0.355609 -0.120348 0.429139 0.373655 +0.018579 1.318616 1.392219 0.896097 0.419606 -0.144712 0.438005 0.385935 +0.027067 1.336823 1.497572 0.896097 0.419606 -0.144712 0.429139 0.373655 +0.028506 1.297508 1.392485 0.896097 0.419606 -0.144712 0.426805 0.399534 +0.027913 1.297786 1.392711 0.910403 0.401313 -0.100566 0.427455 0.399369 +0.018732 1.318464 1.392114 0.910403 0.401313 -0.100566 0.437835 0.386031 +0.039357 1.298102 1.497572 0.910403 0.401313 -0.100566 0.415026 0.398792 +0.032987 1.334286 1.500012 0.971131 0.181409 -0.154903 0.422656 0.375137 +0.039357 1.298102 1.497572 0.971131 0.181409 -0.154903 0.415026 0.398792 +0.018732 1.318464 1.392114 0.971131 0.181409 -0.154903 0.437835 0.386031 +0.032987 1.264132 1.500012 0.971548 -0.192131 -0.138489 0.341087 0.363517 +0.020142 1.276685 1.392485 0.971548 -0.192131 -0.138489 0.341572 0.347290 +0.039357 1.298102 1.497572 0.971548 -0.192131 -0.138489 0.318453 0.357361 +0.027913 1.297786 1.392711 0.933949 -0.342871 -0.100893 0.325292 0.346968 +0.039357 1.298102 1.497572 0.933949 -0.342871 -0.100893 0.318453 0.357361 +0.020142 1.276685 1.392485 0.933949 -0.342871 -0.100893 0.341572 0.347290 +0.026855 1.297815 1.442678 0.861021 0.501644 -0.083645 0.428605 0.399384 +0.015223 1.317866 1.443193 0.861021 0.501644 -0.083645 0.441637 0.386538 +0.035616 1.298138 1.534799 0.861021 0.501644 -0.083645 0.419092 0.398889 +0.029367 1.333644 1.537029 0.967483 0.181350 -0.176323 0.426577 0.375677 +0.035616 1.298138 1.534799 0.967483 0.181350 -0.176323 0.419092 0.398889 +0.015223 1.317866 1.443193 0.967483 0.181350 -0.176323 0.441637 0.386538 +0.029367 1.264803 1.537029 0.967490 -0.192352 -0.164206 0.342820 0.359958 +0.015913 1.277305 1.443114 0.967490 -0.192352 -0.164206 0.343689 0.343189 +0.035616 1.298138 1.534799 0.967490 -0.192352 -0.164206 0.320612 0.353914 +0.026855 1.297815 1.442678 0.878604 -0.470474 -0.081908 0.325892 0.345987 +0.035616 1.298138 1.534799 0.878604 -0.470474 -0.081908 0.320612 0.353914 +0.015913 1.277305 1.443114 0.878604 -0.470474 -0.081908 0.343689 0.343189 +0.015475 1.316933 1.442679 0.460345 0.865612 -0.196973 0.441344 0.387145 +0.000349 1.324949 1.442555 0.460345 0.865612 -0.196973 0.457937 0.382348 +0.025818 1.332395 1.534800 0.460345 0.865612 -0.196973 0.430409 0.376615 +0.000372 1.344853 1.537030 0.418644 0.888622 -0.187317 0.458301 0.369222 +0.025818 1.332395 1.534800 0.418644 0.888622 -0.187317 0.430409 0.376615 +0.000349 1.324949 1.442555 0.418644 0.888622 -0.187317 0.457937 0.382348 +0.036751 1.298880 1.537030 0.940384 0.295569 -0.168274 0.417874 0.398363 +0.021517 1.293880 1.443114 0.940384 0.295569 -0.168274 0.434328 0.402152 +0.025818 1.332395 1.534800 0.940384 0.295569 -0.168274 0.430409 0.376615 +0.015475 1.316933 1.442679 0.957201 0.248060 -0.149106 0.441344 0.387145 +0.025818 1.332395 1.534800 0.957201 0.248060 -0.149106 0.430409 0.376615 +0.021517 1.293880 1.443114 0.957201 0.248060 -0.149106 0.434328 0.402152 +0.026855 1.297815 1.475798 0.862645 0.502022 -0.061789 0.428605 0.399384 +0.015223 1.317866 1.476312 0.862645 0.502022 -0.061789 0.441637 0.386538 +0.033316 1.298051 1.567919 0.862645 0.502022 -0.061789 0.421589 0.399020 +0.027068 1.329073 1.570149 0.967618 0.205427 -0.146676 0.428986 0.378765 +0.033316 1.298051 1.567919 0.967618 0.205427 -0.146676 0.421589 0.399020 +0.015223 1.317866 1.476312 0.967618 0.205427 -0.146676 0.441637 0.386538 +0.027068 1.268926 1.570149 0.966746 -0.217669 -0.134247 0.341862 0.356390 +0.015913 1.277305 1.476233 0.966746 -0.217669 -0.134247 0.343689 0.343189 +0.033316 1.298051 1.567919 0.966746 -0.217669 -0.134247 0.321999 0.351834 +0.026855 1.297815 1.475798 0.880142 -0.470837 -0.060523 0.325892 0.345987 +0.033316 1.298051 1.567919 0.880142 -0.470837 -0.060523 0.321999 0.351834 +0.015913 1.277305 1.476233 0.880142 -0.470837 -0.060523 0.343689 0.343189 +0.015475 1.316933 1.475798 0.464209 0.873722 -0.145328 0.321867 0.328785 +0.000349 1.324949 1.475675 0.464209 0.873722 -0.145328 0.326208 0.312068 +0.023519 1.327982 1.567919 0.464209 0.873722 -0.145328 0.311028 0.332265 +0.000372 1.339127 1.570149 0.419284 0.897787 -0.134835 0.318295 0.307079 +0.023519 1.327982 1.567919 0.419284 0.897787 -0.134835 0.311028 0.332265 +0.000349 1.324949 1.475675 0.419284 0.897787 -0.134835 0.326208 0.312068 +0.034451 1.298699 1.570149 0.930466 0.336292 -0.145400 0.320977 0.352647 +0.021517 1.293880 1.476234 0.930466 0.336292 -0.145400 0.331192 0.342477 +0.023519 1.327982 1.567919 0.930466 0.336292 -0.145400 0.311028 0.332265 +0.015475 1.316933 1.475798 0.961556 0.249861 -0.113931 0.321867 0.328785 +0.023519 1.327982 1.567919 0.961556 0.249861 -0.113931 0.311028 0.332265 +0.021517 1.293880 1.476234 0.961556 0.249861 -0.113931 0.331192 0.342477 +0.023238 1.297899 1.519814 0.809514 0.584874 -0.051077 0.327951 0.342637 +0.011751 1.313816 1.520020 0.809514 0.584874 -0.051077 0.325771 0.326468 +0.027835 1.298151 1.595557 0.809514 0.584874 -0.051077 0.325134 0.346767 +0.022081 1.324929 1.597562 0.962630 0.218798 -0.159597 0.313566 0.332024 +0.027835 1.298151 1.595557 0.962630 0.218798 -0.159597 0.325134 0.346767 +0.011751 1.313816 1.520020 0.962630 0.218798 -0.159597 0.325771 0.326468 +0.022081 1.270444 1.597562 0.966419 -0.211284 -0.146262 0.343920 0.351276 +0.012708 1.281267 1.519996 0.966419 -0.211284 -0.146262 0.343348 0.338847 +0.027835 1.298151 1.595557 0.966419 -0.211284 -0.146262 0.325134 0.346767 +0.023238 1.297899 1.519814 0.843624 -0.534655 -0.049422 0.327951 0.342637 +0.027835 1.298151 1.595557 0.843624 -0.534655 -0.049422 0.325134 0.346767 +0.012708 1.281267 1.519996 0.843624 -0.534655 -0.049422 0.343348 0.338847 +0.012060 1.313850 1.519814 0.513819 0.844831 -0.149166 0.325573 0.326740 +0.000351 1.320843 1.519087 0.513819 0.844831 -0.149166 0.328494 0.313520 +0.018613 1.323238 1.595557 0.513819 0.844831 -0.149166 0.316527 0.329438 +0.000373 1.332783 1.597562 0.447775 0.883954 -0.134620 0.321830 0.309321 +0.018613 1.323238 1.595557 0.447775 0.883954 -0.134620 0.316527 0.329438 +0.000351 1.320843 1.519087 0.447775 0.883954 -0.134620 0.328494 0.313520 +0.027355 1.303593 1.597562 0.913125 0.396785 -0.093622 0.322382 0.344404 +0.022072 1.297449 1.519996 0.913125 0.396785 -0.093622 0.328881 0.341726 +0.018613 1.323238 1.595557 0.913125 0.396785 -0.093622 0.316527 0.329438 +0.012060 1.313850 1.519814 0.846156 0.515014 -0.137040 0.325573 0.326740 +0.018613 1.323238 1.595557 0.846156 0.515014 -0.137040 0.316527 0.329438 +0.022072 1.297449 1.519996 0.846156 0.515014 -0.137040 0.328881 0.341726 +0.007777 1.309166 1.583781 0.533458 0.828806 -0.168831 0.330676 0.324463 +0.000345 1.313964 1.583852 0.533458 0.828806 -0.168831 0.332330 0.315946 +0.013389 1.311120 1.611106 0.533458 0.828806 -0.168831 0.326320 0.328924 +0.000428 1.318737 1.612066 0.493111 0.857539 -0.146522 0.329623 0.314336 +0.013389 1.311120 1.611106 0.493111 0.857539 -0.146522 0.326320 0.328924 +0.000345 1.313964 1.583852 0.493111 0.857539 -0.146522 0.332330 0.315946 +0.020758 1.300929 1.612066 0.799672 0.557141 -0.223873 0.327707 0.339290 +0.015212 1.297487 1.583690 0.799672 0.557141 -0.223873 0.332853 0.335414 +0.013389 1.311120 1.611106 0.799672 0.557141 -0.223873 0.326320 0.328924 +0.007777 1.309166 1.583781 0.824563 0.526542 -0.207002 0.330676 0.324463 +0.013389 1.311120 1.611106 0.824563 0.526542 -0.207002 0.326320 0.328924 +0.015212 1.297487 1.583690 0.824563 0.526542 -0.207002 0.332853 0.335414 +0.015267 1.297604 1.583688 0.516035 0.853640 -0.070751 0.332756 0.335423 +0.002626 1.305302 1.584369 0.516035 0.853640 -0.070751 0.335827 0.321100 +0.017630 1.298448 1.611106 0.516035 0.853640 -0.070751 0.330910 0.337295 +0.014435 1.309839 1.611458 0.869420 0.256896 -0.422035 0.326425 0.330337 +0.017630 1.298448 1.611106 0.869420 0.256896 -0.422035 0.330910 0.337295 +0.002626 1.305302 1.584369 0.869420 0.256896 -0.422035 0.335827 0.321100 +0.014435 1.284790 1.612066 0.941569 -0.237078 -0.239252 0.340379 0.339188 +0.007538 1.285870 1.583853 0.941569 -0.237078 -0.239252 0.343793 0.332475 +0.017630 1.298448 1.611106 0.941569 -0.237078 -0.239252 0.330910 0.337295 +0.015267 1.297604 1.583688 0.833500 -0.549785 -0.054911 0.332756 0.335423 +0.017630 1.298448 1.611106 0.833500 -0.549785 -0.054911 0.330910 0.337295 +0.007538 1.285870 1.583853 0.833500 -0.549785 -0.054911 0.343793 0.332475 +0.000345 1.253736 1.325265 0.309358 -0.948278 -0.071177 0.365883 0.337227 +0.000345 1.263969 1.188933 0.309358 -0.948278 -0.071177 0.360182 0.333611 +0.028351 1.263078 1.322527 0.309358 -0.948278 -0.071177 0.344373 0.359634 +0.021388 1.273440 1.189144 0.409456 -0.907691 -0.091890 0.342655 0.349581 +0.028351 1.263078 1.322527 0.409456 -0.907691 -0.091890 0.344373 0.359634 +0.000345 1.263969 1.188933 0.409456 -0.907691 -0.091890 0.360182 0.333611 +0.021388 1.273440 1.189144 0.912119 -0.402267 -0.078866 0.342655 0.349581 +0.032032 1.297680 1.188607 0.912119 -0.402267 -0.078866 0.322953 0.350786 +0.028351 1.263078 1.322527 0.912119 -0.402267 -0.078866 0.344373 0.359634 +0.043068 1.289129 1.325265 0.870751 -0.481357 -0.100438 0.321292 0.363938 +0.028351 1.263078 1.322527 0.870751 -0.481357 -0.100438 0.344373 0.359634 +0.032032 1.297680 1.188607 0.870751 -0.481357 -0.100438 0.322953 0.350786 +0.000345 1.245701 1.414506 0.356011 -0.925045 -0.132469 0.370359 0.340066 +0.000345 1.265030 1.279529 0.356011 -0.925045 -0.132469 0.359591 0.333236 +0.032102 1.258315 1.411768 0.356011 -0.925045 -0.132469 0.344842 0.364760 +0.019341 1.274819 1.278736 0.447703 -0.881124 -0.152259 0.343078 0.347214 +0.032102 1.258315 1.411768 0.447703 -0.881124 -0.152259 0.344842 0.364760 +0.000345 1.265030 1.279529 0.447703 -0.881124 -0.152259 0.359591 0.333236 +0.019341 1.274819 1.278736 0.905502 -0.401722 -0.136698 0.343078 0.347214 +0.029357 1.297367 1.278820 0.905502 -0.401722 -0.136698 0.324685 0.348442 +0.032102 1.258315 1.411768 0.905502 -0.401722 -0.136698 0.344842 0.364760 +0.046819 1.287978 1.414506 0.891656 -0.429053 -0.144440 0.319749 0.367788 +0.032102 1.258315 1.411768 0.891656 -0.429053 -0.144440 0.344842 0.364760 +0.029357 1.297367 1.278820 0.891656 -0.429053 -0.144440 0.324685 0.348442 +0.000403 1.245338 1.457243 0.372385 -0.909079 -0.186827 0.370528 0.340248 +0.000351 1.267485 1.349374 0.372385 -0.909079 -0.186827 0.358219 0.332375 +0.031193 1.258452 1.454802 0.372385 -0.909079 -0.186827 0.345295 0.363877 +0.018579 1.276256 1.349450 0.425503 -0.882559 -0.200094 0.342721 0.346007 +0.031193 1.258452 1.454802 0.425503 -0.882559 -0.200094 0.345295 0.363877 +0.000351 1.267485 1.349374 0.425503 -0.882559 -0.200094 0.358219 0.332375 +0.018579 1.276256 1.349450 0.891457 -0.417015 -0.177209 0.342721 0.346007 +0.028506 1.297364 1.349716 0.891457 -0.417015 -0.177209 0.325182 0.347662 +0.031193 1.258452 1.454802 0.891457 -0.417015 -0.177209 0.345295 0.363877 +0.043651 1.289771 1.457243 0.922056 -0.354701 -0.154917 0.320595 0.364246 +0.031193 1.258452 1.454802 0.922056 -0.354701 -0.154917 0.345295 0.363877 +0.028506 1.297364 1.349716 0.922056 -0.354701 -0.154917 0.325182 0.347662 +0.000403 1.245729 1.500012 0.398737 -0.898926 -0.181496 0.370310 0.340109 +0.000351 1.267485 1.392143 0.398737 -0.898926 -0.181496 0.358220 0.332375 +0.027067 1.258049 1.497572 0.398737 -0.898926 -0.181496 0.347922 0.360232 +0.018579 1.276257 1.392218 0.426590 -0.884840 -0.187293 0.342721 0.346007 +0.027067 1.258049 1.497572 0.426590 -0.884840 -0.187293 0.347922 0.360232 +0.000351 1.267485 1.392143 0.426590 -0.884840 -0.187293 0.358220 0.332375 +0.018579 1.276257 1.392218 0.896091 -0.419617 -0.144716 0.342721 0.346007 +0.028506 1.297364 1.392485 0.896091 -0.419617 -0.144716 0.325182 0.347662 +0.027067 1.258049 1.497572 0.896091 -0.419617 -0.144716 0.347922 0.360232 +0.039525 1.289692 1.500012 0.926848 -0.355623 -0.120354 0.323041 0.360487 +0.027067 1.258049 1.497572 0.926848 -0.355623 -0.120354 0.347922 0.360232 +0.028506 1.297364 1.392485 0.926848 -0.355623 -0.120354 0.325182 0.347662 +0.000372 1.250020 1.537030 0.418641 -0.888624 -0.187317 0.367938 0.338565 +0.000349 1.269924 1.442555 0.418641 -0.888624 -0.187317 0.356862 0.331510 +0.025818 1.262478 1.534800 0.418641 -0.888624 -0.187317 0.346182 0.357521 +0.015475 1.277939 1.442679 0.460298 -0.865639 -0.196964 0.343590 0.342563 +0.025818 1.262478 1.534800 0.460298 -0.865639 -0.196964 0.346182 0.357521 +0.000349 1.269924 1.442555 0.460298 -0.865639 -0.196964 0.356862 0.331510 +0.015475 1.277939 1.442679 0.957204 -0.248051 -0.149102 0.343590 0.342563 +0.021517 1.300993 1.443114 0.957204 -0.248051 -0.149102 0.327229 0.339964 +0.025818 1.262478 1.534800 0.957204 -0.248051 -0.149102 0.346182 0.357521 +0.036751 1.295993 1.537030 0.940384 -0.295569 -0.168274 0.321145 0.355714 +0.025818 1.262478 1.534800 0.940384 -0.295569 -0.168274 0.346182 0.357521 +0.021517 1.300993 1.443114 0.940384 -0.295569 -0.168274 0.327229 0.339964 +0.000372 1.255745 1.570149 0.419313 -0.897772 -0.134843 0.364748 0.336542 +0.000349 1.269924 1.475675 0.419313 -0.897772 -0.134843 0.356862 0.331510 +0.023519 1.266891 1.567919 0.419313 -0.897772 -0.134843 0.345062 0.353851 +0.015475 1.277939 1.475798 0.464161 -0.873749 -0.145318 0.343590 0.342563 +0.023519 1.266891 1.567919 0.464161 -0.873749 -0.145318 0.345062 0.353851 +0.000349 1.269924 1.475675 0.464161 -0.873749 -0.145318 0.356862 0.331510 +0.015475 1.277939 1.475798 0.961557 -0.249856 -0.113928 0.343590 0.342563 +0.021517 1.300993 1.476233 0.961557 -0.249856 -0.113928 0.327229 0.339964 +0.023519 1.266891 1.567919 0.961557 -0.249856 -0.113928 0.345062 0.353851 +0.034451 1.296174 1.570149 0.930466 -0.336291 -0.145398 0.322384 0.353540 +0.023519 1.266891 1.567919 0.930466 -0.336291 -0.145398 0.345062 0.353851 +0.021517 1.300993 1.476233 0.930466 -0.336291 -0.145398 0.327229 0.339964 +0.000373 1.262090 1.597562 0.447738 -0.883973 -0.134622 0.361213 0.334300 +0.000351 1.274030 1.519087 0.447738 -0.883973 -0.134622 0.354574 0.330061 +0.018613 1.271634 1.595557 0.447738 -0.883973 -0.134622 0.345276 0.347672 +0.012060 1.281023 1.519814 0.513825 -0.844826 -0.149178 0.343861 0.338339 +0.018613 1.271634 1.595557 0.513825 -0.844826 -0.149178 0.345276 0.347672 +0.000351 1.274030 1.519087 0.513825 -0.844826 -0.149178 0.354574 0.330061 +0.012060 1.281023 1.519814 0.846154 -0.515016 -0.137047 0.343861 0.338339 +0.022072 1.297424 1.519996 0.846154 -0.515016 -0.137047 0.328894 0.341734 +0.018613 1.271634 1.595557 0.846154 -0.515016 -0.137047 0.345276 0.347672 +0.027355 1.291280 1.597562 0.913133 -0.396767 -0.093621 0.329242 0.348755 +0.018613 1.271634 1.595557 0.913133 -0.396767 -0.093621 0.345276 0.347672 +0.022072 1.297424 1.519996 0.913133 -0.396767 -0.093621 0.328894 0.341734 +0.000428 1.276136 1.612066 0.493061 -0.857572 -0.146495 0.353356 0.329388 +0.000345 1.280908 1.583852 0.493061 -0.857572 -0.146495 0.350745 0.327626 +0.013389 1.283752 1.611106 0.493061 -0.857572 -0.146495 0.341566 0.338594 +0.007777 1.285707 1.583781 0.533529 -0.828752 -0.168871 0.343745 0.332752 +0.013389 1.283752 1.611106 0.533529 -0.828752 -0.168871 0.341566 0.338594 +0.000345 1.280908 1.583852 0.533529 -0.828752 -0.168871 0.350745 0.327626 +0.007777 1.285707 1.583781 0.824540 -0.526571 -0.207018 0.343745 0.332752 +0.015212 1.297385 1.583690 0.824540 -0.526571 -0.207018 0.332910 0.335451 +0.013389 1.283752 1.611106 0.824540 -0.526571 -0.207018 0.341566 0.338594 +0.020758 1.293943 1.612066 0.799672 -0.557141 -0.223873 0.331598 0.341758 +0.013389 1.283752 1.611106 0.799672 -0.557141 -0.223873 0.341566 0.338594 +0.015212 1.297385 1.583690 0.799672 -0.557141 -0.223873 0.332910 0.335451 +0.000000 0.450505 -0.365256 -0.408356 -0.800423 0.438826 0.394941 0.454805 +0.000000 0.498178 -0.278300 -0.408356 -0.800423 0.438826 0.370235 0.474267 +-0.144773 0.521976 -0.369613 -0.408356 -0.800423 0.438826 0.455286 0.607602 +-0.163313 0.540615 -0.268688 -0.241919 -0.961129 0.133063 0.458098 0.631043 +-0.144773 0.521976 -0.369613 -0.241919 -0.961129 0.133063 0.455286 0.607602 +0.000000 0.498178 -0.278300 -0.241919 -0.961129 0.133063 0.370235 0.474267 +0.000000 1.515251 -0.533029 -0.295706 0.946062 0.132381 0.590485 0.243656 +-0.114572 1.478219 -0.524305 -0.295706 0.946062 0.132381 0.495678 0.159283 +0.000000 1.491224 -0.361320 -0.295706 0.946062 0.132381 0.577865 0.253247 +-0.108530 1.455653 -0.355331 -0.301699 0.943538 0.136795 0.487799 0.173520 +0.000000 1.491224 -0.361320 -0.301699 0.943538 0.136795 0.577865 0.253247 +-0.114572 1.478219 -0.524305 -0.301699 0.943538 0.136795 0.495678 0.159283 +-0.401509 0.719666 0.019700 -0.980639 -0.187096 0.057815 0.257304 0.418926 +-0.437223 0.907435 0.021572 -0.980639 -0.187096 0.057815 0.192547 0.306417 +-0.408121 0.708110 -0.129847 -0.980639 -0.187096 0.057815 0.251941 0.427926 +-0.432499 0.893081 -0.117936 -0.991391 -0.129354 -0.020261 0.199614 0.314548 +-0.408121 0.708110 -0.129847 -0.991391 -0.129354 -0.020261 0.251941 0.427926 +-0.437223 0.907435 0.021572 -0.991391 -0.129354 -0.020261 0.192547 0.306417 +0.000000 0.871132 0.792848 0.565732 -0.319359 0.760234 0.500000 0.424932 +0.000000 1.071758 0.877127 0.565732 -0.319359 0.760234 0.500000 0.292577 +-0.020074 0.859710 0.802988 0.565732 -0.319359 0.760234 0.478179 0.432467 +-0.055367 1.060557 0.903845 0.463585 -0.331220 0.821816 0.439815 0.299967 +-0.020074 0.859710 0.802988 0.463585 -0.331220 0.821816 0.478179 0.432467 +0.000000 1.071758 0.877127 0.463585 -0.331220 0.821816 0.500000 0.292577 +0.000000 0.766550 0.690640 0.235020 -0.679366 0.695146 0.420168 0.475382 +0.000000 0.871132 0.792848 0.235020 -0.679366 0.695146 0.353735 0.456756 +-0.008275 0.762612 0.689589 0.235020 -0.679366 0.695146 0.420241 0.484744 +-0.020074 0.859710 0.802988 0.605177 -0.572503 0.553174 0.355100 0.479801 +-0.008275 0.762612 0.689589 0.605177 -0.572503 0.553174 0.420241 0.484744 +0.000000 0.871132 0.792848 0.605177 -0.572503 0.553174 0.353735 0.456756 +-0.075642 0.462425 -0.735416 -0.413400 -0.817028 -0.401952 0.650431 0.481281 +-0.080293 0.503604 -0.814335 -0.413400 -0.817028 -0.401952 0.644063 0.508170 +0.000000 0.427930 -0.743096 -0.413400 -0.817028 -0.401952 0.584446 0.427203 +0.000000 0.477658 -0.820987 -0.302135 -0.803480 -0.512966 0.571172 0.457204 +0.000000 0.427930 -0.743096 -0.302135 -0.803480 -0.512966 0.584446 0.427203 +-0.080293 0.503604 -0.814335 -0.302135 -0.803480 -0.512966 0.644063 0.508170 +0.000000 1.314178 -0.946150 -0.126033 0.733466 -0.667939 0.484874 0.323920 +-0.077967 1.301869 -0.944955 -0.126033 0.733466 -0.667939 0.427128 0.261358 +0.000000 1.401005 -0.850805 -0.126033 0.733466 -0.667939 0.530479 0.289261 +-0.113353 1.389298 -0.829547 -0.195726 0.751863 -0.629597 0.449774 0.195833 +0.000000 1.401005 -0.850805 -0.195726 0.751863 -0.629597 0.530479 0.289261 +-0.077967 1.301869 -0.944955 -0.195726 0.751863 -0.629597 0.427128 0.261358 +-0.198746 1.318974 -0.792401 -0.713704 0.482552 -0.507710 0.593398 0.252844 +-0.163891 1.230911 -0.925097 -0.713704 0.482552 -0.507710 0.562769 0.315074 +-0.315181 1.175598 -0.764996 -0.713704 0.482552 -0.507710 0.447467 0.192264 +-0.250557 1.103714 -0.893329 -0.737084 0.359255 -0.572401 0.442531 0.276877 +-0.315181 1.175598 -0.764996 -0.737084 0.359255 -0.572401 0.447467 0.192264 +-0.163891 1.230911 -0.925097 -0.737084 0.359255 -0.572401 0.562769 0.315074 +-0.181052 0.522829 0.003963 -0.054782 -0.980646 0.187970 0.479248 0.638928 +0.000000 0.511473 -0.002516 -0.054782 -0.980646 0.187970 0.363346 0.479694 +-0.157486 0.562074 0.215574 -0.054782 -0.980646 0.187970 0.443058 0.634827 +0.000000 0.539160 0.217662 -0.144484 -0.981775 0.123457 0.348998 0.490997 +-0.157486 0.562074 0.215574 -0.144484 -0.981775 0.123457 0.443058 0.634827 +0.000000 0.511473 -0.002516 -0.144484 -0.981775 0.123457 0.363346 0.479694 +-0.337829 0.803507 0.315369 -0.915270 -0.127233 0.382221 0.319230 0.335739 +-0.360061 0.937631 0.306779 -0.915270 -0.127233 0.382221 0.357946 0.252587 +-0.372288 0.760127 0.218413 -0.915270 -0.127233 0.382221 0.272150 0.333385 +-0.409406 0.931537 0.188720 -0.912367 -0.130344 0.388069 0.314406 0.221003 +-0.372288 0.760127 0.218413 -0.912367 -0.130344 0.388069 0.272150 0.333385 +-0.360061 0.937631 0.306779 -0.912367 -0.130344 0.388069 0.357946 0.252587 +-0.121794 1.337687 0.126862 -0.246986 0.957557 0.148600 0.331139 0.224781 +-0.108528 1.304915 0.360089 -0.246986 0.957557 0.148600 0.351832 0.240502 +0.000000 1.369700 0.123007 -0.246986 0.957557 0.148600 0.449360 0.161559 +0.000000 1.337871 0.376398 -0.304797 0.944991 0.118702 0.456222 0.181404 +0.000000 1.369700 0.123007 -0.304797 0.944991 0.118702 0.449360 0.161559 +-0.108528 1.304915 0.360089 -0.304797 0.944991 0.118702 0.351832 0.240502 +-0.090468 0.448806 -0.527020 -0.405691 -0.912979 0.043406 0.668804 0.479586 +-0.072233 0.433957 -0.668912 -0.405691 -0.912979 0.043406 0.654641 0.462608 +0.000000 0.408895 -0.520935 -0.405691 -0.912979 0.043406 0.589527 0.415719 +0.000000 0.406746 -0.682871 -0.350396 -0.936519 0.012428 0.590100 0.414422 +0.000000 0.408895 -0.520935 -0.350396 -0.936519 0.012428 0.589527 0.415719 +-0.072233 0.433957 -0.668912 -0.350396 -0.936519 0.012428 0.654641 0.462608 +-0.114572 1.478219 -0.524305 -0.314398 0.937361 -0.150027 0.495678 0.159283 +0.000000 1.515251 -0.533029 -0.314398 0.937361 -0.150027 0.590485 0.243656 +-0.117833 1.452666 -0.677125 -0.314398 0.937361 -0.150027 0.480111 0.166661 +0.000000 1.481308 -0.694820 -0.259520 0.945161 -0.198291 0.572657 0.257206 +-0.117833 1.452666 -0.677125 -0.259520 0.945161 -0.198291 0.480111 0.166661 +0.000000 1.515251 -0.533029 -0.259520 0.945161 -0.198291 0.590485 0.243656 +-0.335016 1.219440 -0.477144 -0.819331 0.572841 0.023452 0.440531 0.309060 +-0.219620 1.385795 -0.509012 -0.819331 0.572841 0.023452 0.495071 0.466553 +-0.352477 1.199774 -0.606807 -0.819331 0.572841 0.023452 0.435644 0.286595 +-0.215624 1.379687 -0.638821 -0.799302 0.598608 -0.052772 0.489704 0.469063 +-0.352477 1.199774 -0.606807 -0.799302 0.598608 -0.052772 0.435644 0.286595 +-0.219620 1.385795 -0.509012 -0.799302 0.598608 -0.052772 0.495071 0.466553 +-0.334864 1.173440 -0.008152 -0.847028 0.530979 -0.024582 0.412348 0.297806 +-0.276410 1.265942 -0.024242 -0.847028 0.530979 -0.024582 0.445010 0.379626 +-0.333440 1.169196 -0.148889 -0.847028 0.530979 -0.024582 0.409172 0.298187 +-0.268996 1.278754 -0.166749 -0.861887 0.507100 0.000750 0.449812 0.390271 +-0.333440 1.169196 -0.148889 -0.861887 0.507100 0.000750 0.409172 0.298187 +-0.276410 1.265942 -0.024242 -0.861887 0.507100 0.000750 0.445010 0.379626 +-0.115223 1.200244 0.870956 0.179302 0.590487 0.786878 0.349245 0.269681 +0.000000 1.203002 0.842631 0.179302 0.590487 0.786878 0.426480 0.368299 +-0.085151 1.283248 0.801816 0.179302 0.590487 0.786878 0.412622 0.262573 +0.000000 1.251145 0.798667 0.271003 0.649096 0.710797 0.451766 0.349081 +-0.085151 1.283248 0.801816 0.271003 0.649096 0.710797 0.412622 0.262573 +0.000000 1.203002 0.842631 0.271003 0.649096 0.710797 0.426480 0.368299 +-0.234621 1.231194 0.787648 -0.627624 0.732554 0.263540 0.523696 0.248859 +-0.187521 1.271414 0.788019 -0.627624 0.732554 0.263540 0.572641 0.279349 +-0.284059 1.231316 0.669572 -0.627624 0.732554 0.263540 0.496342 0.202601 +-0.201975 1.300758 0.676339 -0.634462 0.723441 0.272198 0.581271 0.255958 +-0.284059 1.231316 0.669572 -0.634462 0.723441 0.272198 0.496342 0.202601 +-0.187521 1.271414 0.788019 -0.634462 0.723441 0.272198 0.572641 0.279349 +-0.284178 1.157604 0.314571 -0.872727 0.439013 0.213577 0.454456 0.227305 +-0.229655 1.256244 0.334608 -0.872727 0.439013 0.213577 0.540663 0.245068 +-0.316565 1.170591 0.155535 -0.872727 0.439013 0.213577 0.443859 0.192656 +-0.263580 1.261915 0.140392 -0.841627 0.515172 0.162055 0.525062 0.211445 +-0.316565 1.170591 0.155535 -0.841627 0.515172 0.162055 0.443859 0.192656 +-0.229655 1.256244 0.334608 -0.841627 0.515172 0.162055 0.540663 0.245068 +-0.412246 1.047188 -0.462044 -0.991497 0.090598 0.093415 0.361339 0.160771 +-0.414880 0.913431 -0.360277 -0.991497 0.090598 0.093415 0.302147 0.226276 +-0.397077 1.040035 -0.294104 -0.991497 0.090598 0.093415 0.370877 0.175025 +-0.423456 0.891875 -0.279155 -0.983811 0.169204 -0.059044 0.285844 0.231109 +-0.397077 1.040035 -0.294104 -0.983811 0.169204 -0.059044 0.370877 0.175025 +-0.414880 0.913431 -0.360277 -0.983811 0.169204 -0.059044 0.302147 0.226276 +-0.392133 1.063792 0.008478 -0.951358 0.284294 0.118723 0.385104 0.166534 +-0.437223 0.907435 0.021572 -0.951358 0.284294 0.118723 0.281053 0.213605 +-0.372005 1.062321 0.173291 -0.951358 0.284294 0.118723 0.401177 0.181409 +-0.409406 0.931537 0.188720 -0.951109 0.285806 0.117073 0.314406 0.221003 +-0.372005 1.062321 0.173291 -0.951109 0.285806 0.117073 0.401177 0.181409 +-0.437223 0.907435 0.021572 -0.951109 0.285806 0.117073 0.281053 0.213605 +-0.066691 0.541093 -0.876854 -0.330389 -0.776037 -0.537225 0.620535 0.524805 +0.000000 0.516286 -0.882034 -0.330389 -0.776037 -0.537225 0.560862 0.480508 +-0.080293 0.503604 -0.814335 -0.330389 -0.776037 -0.537225 0.644063 0.508170 +0.000000 0.477658 -0.820987 -0.302497 -0.805449 -0.509655 0.571172 0.457204 +-0.080293 0.503604 -0.814335 -0.302497 -0.805449 -0.509655 0.644063 0.508170 +0.000000 0.516286 -0.882034 -0.302497 -0.805449 -0.509655 0.560862 0.480508 +-0.390662 0.714595 -0.263803 -0.797753 -0.579726 -0.165857 0.164437 0.553745 +-0.348259 0.682947 -0.357136 -0.797753 -0.579726 -0.165857 0.212072 0.536675 +-0.305341 0.595609 -0.258291 -0.797753 -0.579726 -0.165857 0.285668 0.545606 +-0.229770 0.574212 -0.368127 -0.656748 -0.683445 -0.318725 0.354496 0.498593 +-0.305341 0.595609 -0.258291 -0.656748 -0.683445 -0.318725 0.285668 0.545606 +-0.348259 0.682947 -0.357136 -0.656748 -0.683445 -0.318725 0.212072 0.536675 +-0.401509 0.719666 0.019700 -0.838692 -0.496239 0.224373 0.257304 0.418926 +-0.337591 0.608417 0.012575 -0.838692 -0.496239 0.224373 0.341045 0.475507 +-0.372288 0.760127 0.218413 -0.838692 -0.496239 0.224373 0.282525 0.385981 +-0.317899 0.663393 0.220593 -0.854824 -0.475969 0.206713 0.354077 0.435461 +-0.372288 0.760127 0.218413 -0.854824 -0.475969 0.206713 0.282525 0.385981 +-0.337591 0.608417 0.012575 -0.854824 -0.475969 0.206713 0.341045 0.475507 +-0.093267 1.340819 0.537123 0.138003 0.988036 0.068851 0.437522 0.232568 +-0.078983 1.329372 0.672760 0.138003 0.988036 0.068851 0.440905 0.249500 +0.000000 1.328178 0.531584 0.138003 0.988036 0.068851 0.492227 0.318331 +-0.078983 1.329372 0.672760 -0.292560 0.940718 -0.171633 0.440905 0.249500 +-0.038019 1.342370 0.674176 -0.292560 0.940718 -0.171633 0.474675 0.279763 +0.000000 1.328178 0.531584 -0.292560 0.940718 -0.171633 0.492227 0.318331 +-0.038019 1.342370 0.674176 -0.030792 0.993769 -0.107119 0.474675 0.279763 +0.000000 1.343699 0.675576 -0.030792 0.993769 -0.107119 0.500379 0.312136 +0.000000 1.328178 0.531584 -0.030792 0.993769 -0.107119 0.492227 0.318331 +-0.201975 1.300758 0.676339 -0.647629 0.759033 0.066675 0.581271 0.255958 +-0.208275 1.309593 0.514568 -0.647629 0.759033 0.066675 0.582790 0.247095 +-0.284059 1.231316 0.669572 -0.647629 0.759033 0.066675 0.496342 0.202601 +-0.276877 1.223775 0.518283 -0.780726 0.621160 -0.068024 0.496047 0.211854 +-0.284059 1.231316 0.669572 -0.780726 0.621160 -0.068024 0.496342 0.202601 +-0.208275 1.309593 0.514568 -0.780726 0.621160 -0.068024 0.582790 0.247095 +-0.042466 0.676207 0.462186 -0.242207 -0.880740 0.406981 0.465092 0.535920 +0.000000 0.669559 0.473072 -0.242207 -0.880740 0.406981 0.481778 0.492657 +-0.009831 0.722762 0.582357 -0.242207 -0.880740 0.406981 0.445097 0.493470 +0.000000 0.715693 0.583122 -0.569719 -0.757935 0.317733 0.452472 0.484440 +-0.009831 0.722762 0.582357 -0.569719 -0.757935 0.317733 0.445097 0.493470 +0.000000 0.669559 0.473072 -0.569719 -0.757935 0.317733 0.481778 0.492657 +-0.113353 1.389298 -0.829547 -0.654811 0.492140 -0.573603 0.680663 0.308998 +-0.077967 1.301869 -0.944955 -0.654811 0.492140 -0.573603 0.650689 0.371511 +-0.198746 1.318974 -0.792401 -0.654811 0.492140 -0.573603 0.593398 0.252844 +-0.163891 1.230911 -0.925097 -0.605356 0.580687 -0.544377 0.562769 0.315074 +-0.198746 1.318974 -0.792401 -0.605356 0.580687 -0.544377 0.593398 0.252844 +-0.077967 1.301869 -0.944955 -0.605356 0.580687 -0.544377 0.650689 0.371511 +-0.113353 1.389298 -0.829547 -0.680732 0.669098 -0.298180 0.680663 0.308998 +-0.198746 1.318974 -0.792401 -0.680732 0.669098 -0.298180 0.593398 0.252844 +-0.117833 1.452666 -0.677125 -0.680732 0.669098 -0.298180 0.714130 0.283477 +-0.215624 1.379687 -0.638821 -0.644377 0.684303 -0.341333 0.618481 0.216627 +-0.117833 1.452666 -0.677125 -0.644377 0.684303 -0.341333 0.714130 0.283477 +-0.198746 1.318974 -0.792401 -0.644377 0.684303 -0.341333 0.593398 0.252844 +-0.114572 1.478219 -0.524305 -0.645261 0.753872 0.123751 0.730437 0.277924 +-0.219620 1.385795 -0.509012 -0.645261 0.753872 0.123751 0.619730 0.210836 +-0.108530 1.455653 -0.355331 -0.645261 0.753872 0.123751 0.720986 0.291169 +-0.236095 1.315803 -0.336440 -0.708977 0.674509 0.205884 0.570882 0.218997 +-0.108530 1.455653 -0.355331 -0.708977 0.674509 0.205884 0.720986 0.291169 +-0.219620 1.385795 -0.509012 -0.708977 0.674509 0.205884 0.619730 0.210836 +-0.126253 1.371295 -0.069033 -0.536136 0.829859 0.154575 0.663294 0.302999 +-0.276410 1.265942 -0.024242 -0.536136 0.829859 0.154575 0.520230 0.198095 +-0.121794 1.337687 0.126862 -0.536136 0.829859 0.154575 0.646700 0.318482 +-0.263580 1.261915 0.140392 -0.466232 0.882764 0.057926 0.525062 0.211445 +-0.121794 1.337687 0.126862 -0.466232 0.882764 0.057926 0.646700 0.318482 +-0.276410 1.265942 -0.024242 -0.466232 0.882764 0.057926 0.520230 0.198095 +-0.093267 1.340819 0.537123 -0.225899 0.958324 -0.174883 0.664301 0.344095 +-0.108528 1.304915 0.360089 -0.225899 0.958324 -0.174883 0.635465 0.341916 +-0.208275 1.309593 0.514568 -0.225899 0.958324 -0.174883 0.582790 0.247095 +-0.229655 1.256244 0.334608 -0.319654 0.918134 -0.234204 0.540663 0.245068 +-0.208275 1.309593 0.514568 -0.319654 0.918134 -0.234204 0.582790 0.247095 +-0.108528 1.304915 0.360089 -0.319654 0.918134 -0.234204 0.635465 0.341916 +-0.083203 1.299486 0.776489 -0.167105 0.835789 0.523004 0.646432 0.367418 +-0.187521 1.271414 0.788019 -0.167105 0.835789 0.523004 0.572641 0.279349 +-0.085151 1.283248 0.801816 -0.167105 0.835789 0.523004 0.636139 0.371063 +-0.085151 1.283248 0.801816 -0.174722 0.666778 0.724486 0.636139 0.371063 +-0.187521 1.271414 0.788019 -0.174722 0.666778 0.724486 0.572641 0.279349 +-0.115223 1.200244 0.870956 -0.174722 0.666778 0.724486 0.572366 0.370894 +-0.234621 1.231194 0.787648 -0.415295 0.479203 0.773236 0.523696 0.248859 +-0.115223 1.200244 0.870956 -0.415295 0.479203 0.773236 0.572366 0.370894 +-0.187521 1.271414 0.788019 -0.415295 0.479203 0.773236 0.572641 0.279349 +-0.110497 0.628471 0.357001 -0.447278 -0.669454 0.593106 0.250592 0.567797 +-0.042466 0.676207 0.462186 -0.447278 -0.669454 0.593106 0.315412 0.615325 +-0.219224 0.687039 0.341114 -0.447278 -0.669454 0.593106 0.223510 0.446440 +-0.173069 0.533491 -0.171989 -0.363301 -0.928826 -0.072766 0.417458 0.475010 +-0.181052 0.522829 0.003963 -0.363301 -0.928826 -0.072766 0.416119 0.486099 +-0.334028 0.594810 -0.151073 -0.363301 -0.928826 -0.072766 0.263635 0.567679 +-0.337591 0.608417 0.012575 -0.476137 -0.877142 0.062566 0.254608 0.563925 +-0.334028 0.594810 -0.151073 -0.476137 -0.877142 0.062566 0.263635 0.567679 +-0.181052 0.522829 0.003963 -0.476137 -0.877142 0.062566 0.416119 0.486099 +-0.066691 0.541093 -0.876854 -0.604048 -0.618652 -0.502390 0.392857 0.548733 +-0.080293 0.503604 -0.814335 -0.604048 -0.618652 -0.502390 0.421434 0.545043 +-0.130932 0.601270 -0.873717 -0.604048 -0.618652 -0.502390 0.404883 0.628154 +-0.188531 0.548481 -0.803520 -0.324665 -0.608564 -0.724046 0.470985 0.655787 +-0.130932 0.601270 -0.873717 -0.324665 -0.608564 -0.724046 0.404883 0.628154 +-0.080293 0.503604 -0.814335 -0.324665 -0.608564 -0.724046 0.421434 0.545043 +0.000000 0.498178 -0.278300 -0.247263 -0.966654 0.066648 0.370235 0.474267 +0.000000 0.504867 -0.181284 -0.247263 -0.966654 0.066648 0.366769 0.476998 +-0.163313 0.540615 -0.268688 -0.247263 -0.966654 0.066648 0.458098 0.631043 +-0.173069 0.533491 -0.171989 -0.167185 -0.981882 -0.089205 0.468353 0.636465 +-0.163313 0.540615 -0.268688 -0.167185 -0.981882 -0.089205 0.458098 0.631043 +0.000000 0.504867 -0.181284 -0.167185 -0.981882 -0.089205 0.366769 0.476998 +0.000000 1.491224 -0.361320 -0.293667 0.931867 0.213034 0.577865 0.253247 +-0.108530 1.455653 -0.355331 -0.293667 0.931867 0.213034 0.487799 0.173520 +0.000000 1.457249 -0.212704 -0.293667 0.931867 0.213034 0.560020 0.266809 +-0.121475 1.417969 -0.199653 -0.281357 0.937755 0.203601 0.459491 0.177359 +0.000000 1.457249 -0.212704 -0.281357 0.937755 0.203601 0.560020 0.266809 +-0.108530 1.455653 -0.355331 -0.281357 0.937755 0.203601 0.487799 0.173520 +-0.390662 0.714595 -0.263803 -0.915847 -0.199589 -0.348409 0.269540 0.419635 +-0.423456 0.891875 -0.279155 -0.915847 -0.199589 -0.348409 0.209382 0.313194 +-0.348259 0.682947 -0.357136 -0.915847 -0.199589 -0.348409 0.319063 0.430023 +-0.414880 0.913431 -0.360277 -0.945521 -0.275662 -0.173208 0.215399 0.297289 +-0.348259 0.682947 -0.357136 -0.945521 -0.275662 -0.173208 0.319063 0.430023 +-0.423456 0.891875 -0.279155 -0.945521 -0.275662 -0.173208 0.209382 0.313194 +-0.317998 1.171010 -0.316945 -0.830736 0.502235 0.240081 0.403971 0.314192 +-0.236095 1.315803 -0.336440 -0.830736 0.502235 0.240081 0.459016 0.432600 +-0.335016 1.219440 -0.477144 -0.830736 0.502235 0.240081 0.440531 0.309060 +-0.219620 1.385795 -0.509012 -0.796352 0.583152 0.160490 0.495071 0.466553 +-0.335016 1.219440 -0.477144 -0.796352 0.583152 0.160490 0.440531 0.309060 +-0.236095 1.315803 -0.336440 -0.796352 0.583152 0.160490 0.459016 0.432600 +-0.397077 1.040035 -0.294104 -0.983599 0.178040 0.028904 0.370877 0.175025 +-0.423456 0.891875 -0.279155 -0.983599 0.178040 0.028904 0.285844 0.231109 +-0.390117 1.050900 -0.124181 -0.983599 0.178040 0.028904 0.381282 0.174442 +-0.432499 0.893081 -0.117936 -0.964817 0.256882 -0.056039 0.278855 0.224151 +-0.390117 1.050900 -0.124181 -0.964817 0.256882 -0.056039 0.381282 0.174442 +-0.423456 0.891875 -0.279155 -0.964817 0.256882 -0.056039 0.285844 0.231109 +-0.305341 0.595609 -0.258291 -0.788843 -0.575630 -0.215351 0.377099 0.476155 +-0.334028 0.594810 -0.151073 -0.788843 -0.575630 -0.215351 0.346771 0.483431 +-0.390662 0.714595 -0.263803 -0.788843 -0.575630 -0.215351 0.269540 0.419635 +-0.408121 0.708110 -0.129847 -0.840664 -0.524472 -0.134957 0.251941 0.427926 +-0.390662 0.714595 -0.263803 -0.840664 -0.524472 -0.134957 0.269540 0.419635 +-0.334028 0.594810 -0.151073 -0.840664 -0.524472 -0.134957 0.346771 0.483431 +-0.108530 1.455653 -0.355331 -0.727833 0.677888 0.103571 0.720986 0.291169 +-0.236095 1.315803 -0.336440 -0.727833 0.677888 0.103571 0.570882 0.218997 +-0.121475 1.417969 -0.199653 -0.727833 0.677888 0.103571 0.692425 0.291753 +-0.268996 1.278754 -0.166749 -0.682896 0.730017 0.026981 0.531611 0.200713 +-0.121475 1.417969 -0.199653 -0.682896 0.730017 0.026981 0.692425 0.291753 +-0.236095 1.315803 -0.336440 -0.682896 0.730017 0.026981 0.570882 0.218997 +-0.305341 0.595609 -0.258291 -0.364649 -0.928510 -0.070009 0.285668 0.545606 +-0.229770 0.574212 -0.368127 -0.364649 -0.928510 -0.070009 0.354496 0.498593 +-0.163313 0.540615 -0.268688 -0.364649 -0.928510 -0.070009 0.421806 0.464256 +-0.144773 0.521976 -0.369613 -0.521828 -0.850847 0.061276 0.444837 0.459067 +-0.163313 0.540615 -0.268688 -0.521828 -0.850847 0.061276 0.421806 0.464256 +-0.229770 0.574212 -0.368127 -0.521828 -0.850847 0.061276 0.354496 0.498593 +-0.110497 0.628471 0.357001 -0.195038 -0.839507 0.507138 0.475450 0.615627 +0.000000 0.606042 0.362368 -0.195038 -0.839507 0.507138 0.522124 0.503969 +-0.042466 0.676207 0.462186 -0.195038 -0.839507 0.507138 0.465092 0.535920 +0.000000 0.669559 0.473072 -0.254675 -0.838772 0.481250 0.481778 0.492657 +-0.042466 0.676207 0.462186 -0.254675 -0.838772 0.481250 0.465092 0.535920 +0.000000 0.606042 0.362368 -0.254675 -0.838772 0.481250 0.522124 0.503969 +-0.409406 0.931537 0.188720 -0.966410 -0.176990 0.186352 0.314406 0.221003 +-0.437223 0.907435 0.021572 -0.966410 -0.176990 0.186352 0.281053 0.213605 +-0.372288 0.760127 0.218413 -0.966410 -0.176990 0.186352 0.272150 0.333385 +-0.401509 0.719666 0.019700 -0.966041 -0.185536 0.179835 0.230660 0.333239 +-0.372288 0.760127 0.218413 -0.966041 -0.185536 0.179835 0.272150 0.333385 +-0.437223 0.907435 0.021572 -0.966041 -0.185536 0.179835 0.281053 0.213605 +-0.121794 1.337687 0.126862 -0.245522 0.954485 0.169341 0.331139 0.224781 +0.000000 1.369700 0.123007 -0.245522 0.954485 0.169341 0.449360 0.161559 +-0.126253 1.371295 -0.069033 -0.245522 0.954485 0.169341 0.319312 0.205411 +0.000000 1.403213 -0.085812 -0.222811 0.962545 0.154477 0.442135 0.140663 +-0.126253 1.371295 -0.069033 -0.222811 0.962545 0.154477 0.319312 0.205411 +0.000000 1.369700 0.123007 -0.222811 0.962545 0.154477 0.449360 0.161559 +-0.316565 1.170591 0.155535 -0.852650 0.511980 0.104231 0.403129 0.315531 +-0.263580 1.261915 0.140392 -0.852650 0.511980 0.104231 0.437305 0.391551 +-0.334864 1.173440 -0.008152 -0.852650 0.511980 0.104231 0.412348 0.297806 +-0.276410 1.265942 -0.024242 -0.836533 0.542270 0.078456 0.445010 0.379626 +-0.334864 1.173440 -0.008152 -0.836533 0.542270 0.078456 0.412348 0.297806 +-0.263580 1.261915 0.140392 -0.836533 0.542270 0.078456 0.437305 0.391551 +-0.372005 1.062321 0.173291 -0.912605 0.294445 0.283644 0.401177 0.181409 +-0.409406 0.931537 0.188720 -0.912605 0.294445 0.283644 0.314406 0.221003 +-0.328173 1.060432 0.316278 -0.912605 0.294445 0.283644 0.436741 0.213141 +-0.360061 0.937631 0.306779 -0.906440 0.206897 0.368184 0.357946 0.252587 +-0.328173 1.060432 0.316278 -0.906440 0.206897 0.368184 0.436741 0.213141 +-0.409406 0.931537 0.188720 -0.906440 0.206897 0.368184 0.314406 0.221003 +-0.372288 0.760127 0.218413 -0.775642 -0.425603 0.466092 0.282525 0.385981 +-0.317899 0.663393 0.220593 -0.775642 -0.425603 0.466092 0.354077 0.435461 +-0.337829 0.803507 0.315369 -0.775642 -0.425603 0.466092 0.312886 0.349922 +-0.219224 0.687039 0.341114 -0.620524 -0.498009 0.605754 0.455403 0.396975 +-0.337829 0.803507 0.315369 -0.620524 -0.498009 0.605754 0.312886 0.349922 +-0.317899 0.663393 0.220593 -0.620524 -0.498009 0.605754 0.354077 0.435461 +-0.263580 1.261915 0.140392 -0.460759 0.881147 0.106213 0.525062 0.211445 +-0.229655 1.256244 0.334608 -0.460759 0.881147 0.106213 0.540663 0.245068 +-0.121794 1.337687 0.126862 -0.460759 0.881147 0.106213 0.646700 0.318482 +-0.108528 1.304915 0.360089 -0.395611 0.906115 0.149826 0.635465 0.341916 +-0.121794 1.337687 0.126862 -0.395611 0.906115 0.149826 0.646700 0.318482 +-0.229655 1.256244 0.334608 -0.395611 0.906115 0.149826 0.540663 0.245068 +-0.157486 0.562074 0.215574 -0.517208 -0.829339 0.211406 0.416507 0.449680 +-0.317899 0.663393 0.220593 -0.517208 -0.829339 0.211406 0.244752 0.522982 +-0.181052 0.522829 0.003963 -0.517208 -0.829339 0.211406 0.416119 0.486099 +-0.337591 0.608417 0.012575 -0.450837 -0.851512 0.267720 0.254608 0.563925 +-0.181052 0.522829 0.003963 -0.450837 -0.851512 0.267720 0.416119 0.486099 +-0.317899 0.663393 0.220593 -0.450837 -0.851512 0.267720 0.244752 0.522982 +-0.408121 0.708110 -0.129847 -0.983560 -0.120995 -0.134049 0.251941 0.427926 +-0.432499 0.893081 -0.117936 -0.983560 -0.120995 -0.134049 0.199614 0.314548 +-0.390662 0.714595 -0.263803 -0.983560 -0.120995 -0.134049 0.269540 0.419635 +-0.423456 0.891875 -0.279155 -0.981061 -0.186126 -0.053637 0.209382 0.313194 +-0.390662 0.714595 -0.263803 -0.981061 -0.186126 -0.053637 0.269540 0.419635 +-0.432499 0.893081 -0.117936 -0.981061 -0.186126 -0.053637 0.199614 0.314548 +-0.333440 1.169196 -0.148889 -0.864803 0.496613 -0.074103 0.409172 0.298187 +-0.268996 1.278754 -0.166749 -0.864803 0.496613 -0.074103 0.449812 0.390271 +-0.317998 1.171010 -0.316945 -0.864803 0.496613 -0.074103 0.403971 0.314192 +-0.236095 1.315803 -0.336440 -0.872282 0.484894 -0.063257 0.459016 0.432600 +-0.317998 1.171010 -0.316945 -0.872282 0.484894 -0.063257 0.403971 0.314192 +-0.268996 1.278754 -0.166749 -0.872282 0.484894 -0.063257 0.449812 0.390271 +-0.334028 0.594810 -0.151073 -0.365904 -0.924734 -0.104792 0.263635 0.567679 +-0.305341 0.595609 -0.258291 -0.365904 -0.924734 -0.104792 0.285668 0.545606 +-0.173069 0.533491 -0.171989 -0.365904 -0.924734 -0.104792 0.417458 0.475010 +-0.163313 0.540615 -0.268688 -0.365762 -0.924763 -0.105031 0.421806 0.464256 +-0.173069 0.533491 -0.171989 -0.365762 -0.924763 -0.105031 0.417458 0.475010 +-0.305341 0.595609 -0.258291 -0.365762 -0.924763 -0.105031 0.285668 0.545606 +0.000000 0.504867 -0.181284 -0.161160 -0.986255 0.036445 0.366769 0.476998 +0.000000 0.511473 -0.002516 -0.161160 -0.986255 0.036445 0.363346 0.479694 +-0.173069 0.533491 -0.171989 -0.161160 -0.986255 0.036445 0.468353 0.636465 +-0.181052 0.522829 0.003963 -0.064729 -0.995894 -0.063284 0.479248 0.638928 +-0.173069 0.533491 -0.171989 -0.064729 -0.995894 -0.063284 0.468353 0.636465 +0.000000 0.511473 -0.002516 -0.064729 -0.995894 -0.063284 0.363346 0.479694 +0.000000 1.457249 -0.212704 -0.247469 0.891434 0.379611 0.430486 0.106972 +-0.121475 1.417969 -0.199653 -0.247469 0.891434 0.379611 0.314158 0.174613 +0.000000 1.403213 -0.085812 -0.247469 0.891434 0.379611 0.442135 0.140663 +-0.126253 1.371295 -0.069033 -0.191163 0.926516 0.324076 0.319312 0.205411 +0.000000 1.403213 -0.085812 -0.191163 0.926516 0.324076 0.442135 0.140663 +-0.121475 1.417969 -0.199653 -0.191163 0.926516 0.324076 0.314158 0.174613 +-0.390117 1.050900 -0.124181 -0.965412 0.257688 -0.039714 0.381282 0.174442 +-0.432499 0.893081 -0.117936 -0.965412 0.257688 -0.039714 0.278855 0.224151 +-0.392133 1.063792 0.008478 -0.965412 0.257688 -0.039714 0.385104 0.166534 +-0.437223 0.907435 0.021572 -0.960422 0.271899 -0.060497 0.281053 0.213605 +-0.392133 1.063792 0.008478 -0.960422 0.271899 -0.060497 0.385104 0.166534 +-0.432499 0.893081 -0.117936 -0.960422 0.271899 -0.060497 0.278855 0.224151 +-0.334028 0.594810 -0.151073 -0.834230 -0.550724 0.027628 0.346771 0.483431 +-0.337591 0.608417 0.012575 -0.834230 -0.550724 0.027628 0.341045 0.475507 +-0.408121 0.708110 -0.129847 -0.834230 -0.550724 0.027628 0.251941 0.427926 +-0.401509 0.719666 0.019700 -0.862382 -0.500399 0.076797 0.257304 0.418926 +-0.408121 0.708110 -0.129847 -0.862382 -0.500399 0.076797 0.251941 0.427926 +-0.337591 0.608417 0.012575 -0.862382 -0.500399 0.076797 0.341045 0.475507 +-0.121475 1.417969 -0.199653 -0.637910 0.732302 0.238337 0.692425 0.291753 +-0.268996 1.278754 -0.166749 -0.637910 0.732302 0.238337 0.531611 0.200713 +-0.126253 1.371295 -0.069033 -0.637910 0.732302 0.238337 0.663294 0.302999 +-0.276410 1.265942 -0.024242 -0.564808 0.824011 0.044698 0.520230 0.198095 +-0.126253 1.371295 -0.069033 -0.564808 0.824011 0.044698 0.663294 0.302999 +-0.268996 1.278754 -0.166749 -0.564808 0.824011 0.044698 0.531611 0.200713 +-0.315181 1.175598 -0.764996 -0.746948 0.344129 -0.568896 0.526184 0.347493 +-0.250557 1.103714 -0.893329 -0.746948 0.344129 -0.568896 0.455832 0.394759 +-0.378254 1.055511 -0.754824 -0.746948 0.344129 -0.568896 0.478547 0.254178 +-0.298690 0.981866 -0.872468 -0.753889 0.190136 -0.628888 0.401013 0.316057 +-0.378254 1.055511 -0.754824 -0.753889 0.190136 -0.628888 0.478547 0.254178 +-0.250557 1.103714 -0.893329 -0.753889 0.190136 -0.628888 0.455832 0.394759 +-0.315181 1.175598 -0.764996 -0.861894 0.429912 -0.268911 0.526184 0.347493 +-0.378254 1.055511 -0.754824 -0.861894 0.429912 -0.268911 0.478547 0.254178 +-0.352477 1.199774 -0.606807 -0.861894 0.429912 -0.268911 0.556203 0.315921 +-0.417389 1.074460 -0.603646 -0.856193 0.436532 -0.276356 0.506123 0.219458 +-0.352477 1.199774 -0.606807 -0.856193 0.436532 -0.276356 0.556203 0.315921 +-0.378254 1.055511 -0.754824 -0.856193 0.436532 -0.276356 0.478547 0.254178 +-0.335016 1.219440 -0.477144 -0.882953 0.415099 0.219286 0.561091 0.338386 +-0.412246 1.047188 -0.462044 -0.882953 0.415099 0.219286 0.487349 0.217875 +-0.317998 1.171010 -0.316945 -0.882953 0.415099 0.219286 0.524530 0.343518 +-0.397077 1.040035 -0.294104 -0.844177 0.526901 0.098692 0.476778 0.231380 +-0.317998 1.171010 -0.316945 -0.844177 0.526901 0.098692 0.524530 0.343518 +-0.412246 1.047188 -0.462044 -0.844177 0.526901 0.098692 0.487349 0.217875 +-0.317998 1.171010 -0.316945 -0.859370 0.506045 -0.073502 0.524530 0.343518 +-0.397077 1.040035 -0.294104 -0.859370 0.506045 -0.073502 0.476778 0.231380 +-0.333440 1.169196 -0.148889 -0.859370 0.506045 -0.073502 0.529731 0.327513 +-0.390117 1.050900 -0.124181 -0.901049 0.433620 0.009181 0.480576 0.241086 +-0.333440 1.169196 -0.148889 -0.901049 0.433620 0.009181 0.529731 0.327513 +-0.397077 1.040035 -0.294104 -0.901049 0.433620 0.009181 0.476778 0.231380 +-0.333440 1.169196 -0.148889 -0.903403 0.428225 -0.022054 0.529731 0.327513 +-0.390117 1.050900 -0.124181 -0.903403 0.428225 -0.022054 0.480576 0.241086 +-0.334864 1.173440 -0.008152 -0.903403 0.428225 -0.022054 0.532908 0.327132 +-0.392133 1.063792 0.008478 -0.888469 0.455288 -0.057748 0.489280 0.242252 +-0.334864 1.173440 -0.008152 -0.888469 0.455288 -0.057748 0.532908 0.327132 +-0.390117 1.050900 -0.124181 -0.888469 0.455288 -0.057748 0.480576 0.241086 +-0.334864 1.173440 -0.008152 -0.874697 0.472932 0.106016 0.532908 0.327132 +-0.392133 1.063792 0.008478 -0.874697 0.472932 0.106016 0.489280 0.242252 +-0.316565 1.170591 0.155535 -0.874697 0.472932 0.106016 0.523688 0.344857 +-0.372005 1.062321 0.173291 -0.877044 0.467343 0.111282 0.480156 0.262161 +-0.316565 1.170591 0.155535 -0.877044 0.467343 0.111282 0.523688 0.344857 +-0.392133 1.063792 0.008478 -0.877044 0.467343 0.111282 0.489280 0.242252 +-0.284178 1.157604 0.314571 -0.888441 0.406006 0.214082 0.502514 0.374259 +-0.316565 1.170591 0.155535 -0.888441 0.406006 0.214082 0.523688 0.344857 +-0.328173 1.060432 0.316278 -0.888441 0.406006 0.214082 0.461090 0.305844 +-0.372005 1.062321 0.173291 -0.840314 0.473556 0.263850 0.480156 0.262161 +-0.328173 1.060432 0.316278 -0.840314 0.473556 0.263850 0.461090 0.305844 +-0.316565 1.170591 0.155535 -0.840314 0.473556 0.263850 0.523688 0.344857 +0.000000 1.071758 0.877127 0.383527 0.234766 0.893192 0.500000 0.292577 +0.000000 1.203002 0.842631 0.383527 0.234766 0.893192 0.500000 0.205994 +-0.055367 1.060557 0.903845 0.383527 0.234766 0.893192 0.439815 0.299967 +-0.115223 1.200244 0.870956 0.219774 0.311816 0.924376 0.374751 0.207814 +-0.055367 1.060557 0.903845 0.219774 0.311816 0.924376 0.439815 0.299967 +0.000000 1.203002 0.842631 0.219774 0.311816 0.924376 0.500000 0.205994 +0.000000 1.328178 0.531584 0.137651 0.988554 0.061745 0.492227 0.318331 +0.000000 1.337871 0.376398 0.137651 0.988554 0.061745 0.497318 0.314462 +-0.093267 1.340819 0.537123 0.137651 0.988554 0.061745 0.437522 0.232568 +-0.108528 1.304915 0.360089 -0.262863 0.949746 -0.169957 0.408626 0.233693 +-0.093267 1.340819 0.537123 -0.262863 0.949746 -0.169957 0.437522 0.232568 +0.000000 1.337871 0.376398 -0.262863 0.949746 -0.169957 0.497318 0.314462 +-0.208275 1.309593 0.514568 -0.779779 0.619409 -0.090982 0.582790 0.247095 +-0.229655 1.256244 0.334608 -0.779779 0.619409 -0.090982 0.540663 0.245068 +-0.276877 1.223775 0.518283 -0.779779 0.619409 -0.090982 0.496047 0.211854 +-0.284178 1.157604 0.314571 -0.856006 0.499908 -0.131704 0.454456 0.227305 +-0.276877 1.223775 0.518283 -0.856006 0.499908 -0.131704 0.496047 0.211854 +-0.229655 1.256244 0.334608 -0.856006 0.499908 -0.131704 0.540663 0.245068 +-0.009831 0.722762 0.582357 -0.573133 -0.765386 0.292752 0.445097 0.493470 +0.000000 0.715693 0.583122 -0.573133 -0.765386 0.292752 0.452472 0.484440 +-0.008275 0.762612 0.689589 -0.573133 -0.765386 0.292752 0.420241 0.484744 +0.000000 0.766550 0.690640 0.351854 -0.846169 0.400246 0.420168 0.475382 +-0.008275 0.762612 0.689589 0.351854 -0.846169 0.400246 0.420241 0.484744 +0.000000 0.715693 0.583122 0.351854 -0.846169 0.400246 0.452472 0.484440 +-0.208275 1.309593 0.514568 -0.273003 0.959944 0.063058 0.582790 0.247095 +-0.201975 1.300758 0.676339 -0.273003 0.959944 0.063058 0.581271 0.255958 +-0.093267 1.340819 0.537123 -0.273003 0.959944 0.063058 0.664301 0.344095 +-0.078983 1.329372 0.672760 -0.222434 0.969253 0.105224 0.665730 0.361302 +-0.093267 1.340819 0.537123 -0.222434 0.969253 0.105224 0.664301 0.344095 +-0.201975 1.300758 0.676339 -0.222434 0.969253 0.105224 0.581271 0.255958 +0.000000 0.408895 -0.520935 -0.407447 -0.899694 0.156644 0.416504 0.437818 +0.000000 0.424155 -0.433288 -0.407447 -0.899694 0.156644 0.408596 0.444048 +-0.090468 0.448806 -0.527020 -0.407447 -0.899694 0.156644 0.456675 0.531360 +-0.122304 0.494920 -0.438939 -0.492851 -0.831272 0.257069 0.454193 0.577371 +-0.090468 0.448806 -0.527020 -0.492851 -0.831272 0.257069 0.456675 0.531360 +0.000000 0.424155 -0.433288 -0.492851 -0.831272 0.257069 0.408596 0.444048 +-0.117833 1.452666 -0.677125 -0.271803 0.885760 -0.376235 0.480111 0.166661 +0.000000 1.481308 -0.694820 -0.271803 0.885760 -0.376235 0.572657 0.257206 +-0.113353 1.389298 -0.829547 -0.271803 0.885760 -0.376235 0.449774 0.195833 +0.000000 1.401005 -0.850805 -0.174926 0.875389 -0.450661 0.530479 0.289261 +-0.113353 1.389298 -0.829547 -0.174926 0.875389 -0.450661 0.449774 0.195833 +0.000000 1.481308 -0.694820 -0.174926 0.875389 -0.450661 0.572657 0.257206 +-0.352477 1.199774 -0.606807 -0.788846 0.551941 -0.270338 0.435644 0.286595 +-0.215624 1.379687 -0.638821 -0.788846 0.551941 -0.270338 0.489704 0.469063 +-0.315181 1.175598 -0.764996 -0.788846 0.551941 -0.270338 0.405624 0.318167 +-0.198746 1.318974 -0.792401 -0.766625 0.563863 -0.307155 0.445692 0.471007 +-0.315181 1.175598 -0.764996 -0.766625 0.563863 -0.307155 0.405624 0.318167 +-0.215624 1.379687 -0.638821 -0.766625 0.563863 -0.307155 0.489704 0.469063 +-0.117833 1.452666 -0.677125 -0.622848 0.773684 -0.116077 0.714130 0.283477 +-0.215624 1.379687 -0.638821 -0.622848 0.773684 -0.116077 0.618481 0.216627 +-0.114572 1.478219 -0.524305 -0.622848 0.773684 -0.116077 0.730437 0.277924 +-0.219620 1.385795 -0.509012 -0.664080 0.745597 -0.055526 0.619730 0.210836 +-0.114572 1.478219 -0.524305 -0.664080 0.745597 -0.055526 0.730437 0.277924 +-0.215624 1.379687 -0.638821 -0.664080 0.745597 -0.055526 0.618481 0.216627 +-0.352477 1.199774 -0.606807 -0.886344 0.460371 0.049535 0.556203 0.315921 +-0.417389 1.074460 -0.603646 -0.886344 0.460371 0.049535 0.506123 0.219458 +-0.335016 1.219440 -0.477144 -0.886344 0.460371 0.049535 0.561091 0.338386 +-0.412246 1.047188 -0.462044 -0.902948 0.414718 0.112668 0.487349 0.217875 +-0.335016 1.219440 -0.477144 -0.902948 0.414718 0.112668 0.561091 0.338386 +-0.417389 1.074460 -0.603646 -0.902948 0.414718 0.112668 0.506123 0.219458 +-0.063837 1.256372 -1.006457 -0.422313 0.845550 -0.326645 0.533084 0.321074 +-0.063693 1.226234 -1.084658 -0.422313 0.845550 -0.326645 0.517349 0.333228 +-0.155712 1.208942 -1.010450 -0.422313 0.845550 -0.326645 0.447743 0.260494 +-0.140970 1.195292 -1.081044 -0.369949 0.894712 -0.250257 0.450270 0.278701 +-0.155712 1.208942 -1.010450 -0.369949 0.894712 -0.250257 0.447743 0.260494 +-0.063693 1.226234 -1.084658 -0.369949 0.894712 -0.250257 0.517349 0.333228 +-0.275470 0.839500 -0.919913 -0.969068 0.064250 -0.238285 0.278809 0.342534 +-0.261458 0.936834 -0.950653 -0.969068 0.064250 -0.238285 0.341805 0.322866 +-0.261846 0.862849 -0.969024 -0.969068 0.064250 -0.238285 0.299614 0.347410 +-0.233541 1.070262 -1.041313 -0.858030 0.407673 0.312389 0.432991 0.304045 +-0.194389 1.135778 -1.019275 -0.858030 0.407673 0.312389 0.491879 0.318590 +-0.243274 1.101869 -1.109294 -0.858030 0.407673 0.312389 0.445524 0.284306 +-0.212075 1.151285 -1.089059 -0.856207 0.414038 0.309002 0.490866 0.296836 +-0.243274 1.101869 -1.109294 -0.856207 0.414038 0.309002 0.445524 0.284306 +-0.194389 1.135778 -1.019275 -0.856207 0.414038 0.309002 0.491879 0.318590 +-0.163891 1.230911 -0.925097 -0.650327 0.718308 -0.247203 0.453902 0.244646 +-0.077967 1.301869 -0.944955 -0.650327 0.718308 -0.247203 0.547687 0.290684 +-0.155712 1.208942 -1.010450 -0.650327 0.718308 -0.247203 0.447743 0.260494 +-0.063837 1.256372 -1.006457 -0.343059 0.715740 -0.608298 0.533084 0.321074 +-0.155712 1.208942 -1.010450 -0.343059 0.715740 -0.608298 0.447743 0.260494 +-0.077967 1.301869 -0.944955 -0.343059 0.715740 -0.608298 0.547687 0.290684 +-0.233541 1.070262 -1.041313 -0.869182 0.451834 0.200918 0.432991 0.304045 +-0.241454 1.025889 -0.975757 -0.869182 0.451834 0.200918 0.403426 0.311586 +-0.194389 1.135778 -1.019275 -0.869182 0.451834 0.200918 0.491879 0.318590 +-0.250557 1.103714 -0.893329 -0.905820 0.253543 -0.339420 0.442531 0.276877 +-0.194389 1.135778 -1.019275 -0.905820 0.253543 -0.339420 0.491879 0.318590 +-0.241454 1.025889 -0.975757 -0.905820 0.253543 -0.339420 0.403426 0.311586 +-0.261846 0.862849 -0.969024 -0.957629 -0.040872 -0.285090 0.299614 0.347410 +-0.255188 0.812184 -0.984125 -0.957629 -0.040872 -0.285090 0.274563 0.370690 +-0.275470 0.839500 -0.919913 -0.957629 -0.040872 -0.285090 0.278809 0.342534 +-0.255500 0.759849 -0.909942 -0.946858 -0.260939 -0.188070 0.244697 0.388017 +-0.275470 0.839500 -0.919913 -0.946858 -0.260939 -0.188070 0.278809 0.342534 +-0.255188 0.812184 -0.984125 -0.946858 -0.260939 -0.188070 0.274563 0.370690 +-0.198039 0.698088 -0.974045 -0.806647 -0.562642 -0.180980 0.241530 0.462525 +-0.255500 0.759849 -0.909942 -0.806647 -0.562642 -0.180980 0.244697 0.388017 +-0.240435 0.777716 -1.032634 -0.806647 -0.562642 -0.180980 0.263190 0.396085 +-0.255188 0.812184 -0.984125 -0.967431 -0.204907 -0.148627 0.274563 0.370690 +-0.240435 0.777716 -1.032634 -0.967431 -0.204907 -0.148627 0.263190 0.396085 +-0.255500 0.759849 -0.909942 -0.967431 -0.204907 -0.148627 0.244697 0.388017 +-0.063693 1.226234 -1.084658 -0.091298 0.929149 -0.358254 0.396789 0.303902 +-0.063837 1.256372 -1.006457 -0.091298 0.929149 -0.358254 0.412525 0.291748 +0.000000 1.231919 -1.086145 -0.091298 0.929149 -0.358254 0.441668 0.356756 +0.000000 1.268361 -1.014367 -0.218169 0.870184 -0.441795 0.460809 0.342209 +0.000000 1.231919 -1.086145 -0.218169 0.870184 -0.441795 0.441668 0.356756 +-0.063837 1.256372 -1.006457 -0.218169 0.870184 -0.441795 0.412525 0.291748 +0.000000 1.314178 -0.946150 -0.138263 0.822168 -0.552198 0.484874 0.323920 +0.000000 1.268361 -1.014367 -0.138263 0.822168 -0.552198 0.460809 0.342209 +-0.077967 1.301869 -0.944955 -0.138263 0.822168 -0.552198 0.427128 0.261358 +-0.063837 1.256372 -1.006457 -0.218568 0.759814 -0.612300 0.412525 0.291748 +-0.077967 1.301869 -0.944955 -0.218568 0.759814 -0.612300 0.427128 0.261358 +0.000000 1.268361 -1.014367 -0.218568 0.759814 -0.612300 0.460809 0.342209 +-0.250557 1.103714 -0.893329 -0.884574 0.286408 -0.368102 0.455832 0.394759 +-0.241454 1.025889 -0.975757 -0.884574 0.286408 -0.368102 0.404536 0.384627 +-0.298690 0.981866 -0.872468 -0.884574 0.286408 -0.368102 0.401013 0.316057 +-0.261458 0.936834 -0.950653 -0.884755 0.068800 -0.460950 0.358269 0.342392 +-0.298690 0.981866 -0.872468 -0.884755 0.068800 -0.460950 0.401013 0.316057 +-0.241454 1.025889 -0.975757 -0.884755 0.068800 -0.460950 0.404536 0.384627 +-0.054281 0.576374 -0.924635 -0.576326 -0.578716 -0.577006 0.366225 0.552540 +-0.066691 0.541093 -0.876854 -0.576326 -0.578716 -0.577006 0.392857 0.548733 +-0.106031 0.629367 -0.926096 -0.576326 -0.578716 -0.577006 0.373573 0.618362 +-0.130932 0.601270 -0.873717 -0.570876 -0.579089 -0.582028 0.404883 0.628154 +-0.106031 0.629367 -0.926096 -0.570876 -0.579089 -0.582028 0.373573 0.618362 +-0.066691 0.541093 -0.876854 -0.570876 -0.579089 -0.582028 0.392857 0.548733 +0.000000 0.516286 -0.882034 -0.323522 -0.749022 -0.578187 0.579138 0.519955 +-0.066691 0.541093 -0.876854 -0.323522 -0.749022 -0.578187 0.543810 0.585339 +0.000000 0.554331 -0.931320 -0.323522 -0.749022 -0.578187 0.554972 0.513179 +-0.054281 0.576374 -0.924635 -0.360944 -0.702976 -0.612817 0.525040 0.566066 +0.000000 0.554331 -0.931320 -0.360944 -0.702976 -0.612817 0.554972 0.513179 +-0.066691 0.541093 -0.876854 -0.360944 -0.702976 -0.612817 0.543810 0.585339 +-0.155712 1.208942 -1.010450 -0.838306 0.475359 -0.266977 0.554842 0.330115 +-0.140970 1.195292 -1.081044 -0.838306 0.475359 -0.266977 0.555275 0.348492 +-0.194389 1.135778 -1.019275 -0.838306 0.475359 -0.266977 0.491879 0.318590 +-0.212075 1.151285 -1.089059 -0.525424 0.792631 0.309298 0.490866 0.296836 +-0.194389 1.135778 -1.019275 -0.525424 0.792631 0.309298 0.491879 0.318590 +-0.140970 1.195292 -1.081044 -0.525424 0.792631 0.309298 0.555275 0.348492 +-0.194389 1.135778 -1.019275 -0.841979 0.475780 -0.254370 0.491879 0.318590 +-0.250557 1.103714 -0.893329 -0.841979 0.475780 -0.254370 0.442531 0.276877 +-0.155712 1.208942 -1.010450 -0.841979 0.475780 -0.254370 0.554842 0.330115 +-0.163891 1.230911 -0.925097 -0.831459 0.513601 -0.211871 0.562769 0.315074 +-0.155712 1.208942 -1.010450 -0.831459 0.513601 -0.211871 0.554842 0.330115 +-0.250557 1.103714 -0.893329 -0.831459 0.513601 -0.211871 0.442531 0.276877 +-0.298894 0.492080 0.585936 -0.960892 -0.236076 0.144760 0.574451 0.726999 +-0.270736 0.391070 0.608116 -0.960892 -0.236076 0.144760 0.607855 0.661719 +-0.290254 0.489197 0.638585 -0.960892 -0.236076 0.144760 0.570132 0.718444 +-0.260287 0.394408 0.642322 -0.911346 -0.276079 0.305333 0.599097 0.654160 +-0.290254 0.489197 0.638585 -0.911346 -0.276079 0.305333 0.570132 0.718444 +-0.270736 0.391070 0.608116 -0.911346 -0.276079 0.305333 0.607855 0.661719 +-0.207105 0.466516 0.724098 0.119238 0.451604 0.884215 0.525955 0.638186 +-0.201002 0.409530 0.752380 0.119238 0.451604 0.884215 0.551382 0.609710 +-0.172382 0.474482 0.715347 0.119238 0.451604 0.884215 0.498471 0.611788 +-0.175497 0.405860 0.729689 0.669464 0.122732 0.732636 0.536127 0.586434 +-0.172382 0.474482 0.715347 0.669464 0.122732 0.732636 0.498471 0.611788 +-0.201002 0.409530 0.752380 0.669464 0.122732 0.732636 0.551382 0.609710 +-0.172382 0.474482 0.715347 0.497119 0.155831 0.853574 0.498471 0.611788 +-0.175497 0.405860 0.729689 0.497119 0.155831 0.853574 0.536127 0.586434 +-0.133645 0.483091 0.691215 0.497119 0.155831 0.853574 0.467952 0.582225 +-0.161990 0.401702 0.688799 0.889612 -0.319509 0.326351 0.529196 0.573202 +-0.133645 0.483091 0.691215 0.889612 -0.319509 0.326351 0.467952 0.582225 +-0.175497 0.405860 0.729689 0.889612 -0.319509 0.326351 0.536127 0.586434 +-0.121016 0.489468 0.612952 0.879597 -0.230288 -0.416264 0.456152 0.574045 +-0.142612 0.398601 0.617588 0.879597 -0.230288 -0.416264 0.517769 0.555390 +-0.147059 0.487339 0.559099 0.879597 -0.230288 -0.416264 0.474773 0.595414 +-0.167913 0.391086 0.575845 0.845178 -0.263972 -0.464751 0.538683 0.573927 +-0.147059 0.487339 0.559099 0.845178 -0.263972 -0.464751 0.474773 0.595414 +-0.142612 0.398601 0.617588 0.845178 -0.263972 -0.464751 0.517769 0.555390 +-0.210193 0.387937 0.564010 -0.335846 -0.369159 -0.866562 0.568754 0.608744 +-0.244685 0.386784 0.577869 -0.335846 -0.369159 -0.866562 0.592553 0.637725 +-0.204691 0.474041 0.525197 -0.335846 -0.369159 -0.866562 0.520432 0.639196 +-0.257957 0.489777 0.539113 -0.335517 -0.369340 -0.866612 0.548107 0.691103 +-0.204691 0.474041 0.525197 -0.335517 -0.369340 -0.866612 0.520432 0.639196 +-0.244685 0.386784 0.577869 -0.335517 -0.369340 -0.866612 0.592553 0.637725 +-0.257957 0.489777 0.539113 -0.720134 -0.323727 -0.613684 0.548107 0.691103 +-0.244685 0.386784 0.577869 -0.720134 -0.323727 -0.613684 0.592553 0.637725 +-0.298894 0.492080 0.585936 -0.720134 -0.323727 -0.613684 0.574451 0.726999 +-0.270736 0.391070 0.608116 -0.736994 -0.334423 -0.587368 0.607855 0.661719 +-0.298894 0.492080 0.585936 -0.736994 -0.334423 -0.587368 0.574451 0.726999 +-0.244685 0.386784 0.577869 -0.736994 -0.334423 -0.587368 0.592553 0.637725 +-0.346506 0.970240 0.444275 -0.954961 0.204208 -0.215286 0.383090 0.245684 +-0.380000 0.850625 0.479387 -0.954961 0.204208 -0.215286 0.304321 0.282398 +-0.341636 1.091500 0.537693 -0.954961 0.204208 -0.215286 0.438812 0.188042 +-0.388560 0.906970 0.573610 -0.956834 0.202790 -0.208194 0.321232 0.248013 +-0.341636 1.091500 0.537693 -0.956834 0.202790 -0.208194 0.438812 0.188042 +-0.380000 0.850625 0.479387 -0.956834 0.202790 -0.208194 0.304321 0.282398 +-0.251929 1.034970 0.841469 -0.494738 -0.059284 0.867018 0.402767 0.298736 +-0.257483 0.861991 0.826472 -0.494738 -0.059284 0.867018 0.301547 0.351777 +-0.172004 0.926179 0.879637 -0.494738 -0.059284 0.867018 0.385379 0.410077 +-0.191441 0.814931 0.840666 -0.369792 -0.248964 0.895137 0.311481 0.429358 +-0.172004 0.926179 0.879637 -0.369792 -0.248964 0.895137 0.385379 0.410077 +-0.257483 0.861991 0.826472 -0.369792 -0.248964 0.895137 0.301547 0.351777 +-0.172004 0.926179 0.879637 0.368152 -0.364025 0.855541 0.248020 0.469494 +-0.191441 0.814931 0.840666 0.368152 -0.364025 0.855541 0.313856 0.508201 +-0.087118 0.767209 0.775469 0.368152 -0.364025 0.855541 0.372537 0.406185 +-0.088868 0.732977 0.769612 0.464125 -0.172382 0.868834 0.393939 0.413640 +-0.087118 0.767209 0.775469 0.464125 -0.172382 0.868834 0.372537 0.406185 +-0.191441 0.814931 0.840666 0.464125 -0.172382 0.868834 0.313856 0.508201 +-0.047675 0.689279 0.582939 0.711989 -0.524754 -0.466589 0.455260 0.539044 +-0.103255 0.692424 0.494590 0.711989 -0.524754 -0.466589 0.436952 0.596656 +-0.030152 0.713972 0.581907 0.711989 -0.524754 -0.466589 0.444717 0.516305 +-0.091850 0.699313 0.479491 0.401323 -0.909107 -0.111645 0.435923 0.583491 +-0.030152 0.713972 0.581907 0.401323 -0.909107 -0.111645 0.444717 0.516305 +-0.103255 0.692424 0.494590 0.401323 -0.909107 -0.111645 0.436952 0.596656 +-0.193418 0.679360 0.414036 -0.407297 -0.569691 -0.713835 0.483886 0.395838 +-0.311188 0.743750 0.429845 -0.407297 -0.569691 -0.713835 0.349703 0.382128 +-0.194984 0.710710 0.389910 -0.407297 -0.569691 -0.713835 0.477740 0.376018 +-0.316694 0.826608 0.395121 -0.395115 -0.377270 -0.837586 0.332009 0.330063 +-0.194984 0.710710 0.389910 -0.395115 -0.377270 -0.837586 0.477740 0.376018 +-0.311188 0.743750 0.429845 -0.395115 -0.377270 -0.837586 0.349703 0.382128 +-0.316694 0.826608 0.395121 -0.973526 -0.140312 -0.180444 0.346612 0.338948 +-0.311188 0.743750 0.429845 -0.973526 -0.140312 -0.180444 0.315866 0.384538 +-0.346506 0.970240 0.444275 -0.973526 -0.140312 -0.180444 0.383090 0.245684 +-0.380000 0.850625 0.479387 -0.633062 -0.049499 -0.772517 0.304321 0.282398 +-0.346506 0.970240 0.444275 -0.633062 -0.049499 -0.772517 0.383090 0.245684 +-0.311188 0.743750 0.429845 -0.633062 -0.049499 -0.772517 0.315866 0.384538 +-0.346101 0.684474 0.613384 -0.982202 -0.187818 -0.002147 0.321134 0.428531 +-0.388560 0.906970 0.573610 -0.982202 -0.187818 -0.002147 0.244253 0.295247 +-0.343117 0.669788 0.533016 -0.982202 -0.187818 -0.002147 0.326402 0.437286 +-0.380000 0.850625 0.479387 -0.980976 -0.192388 0.025927 0.261396 0.329517 +-0.343117 0.669788 0.533016 -0.980976 -0.192388 0.025927 0.326402 0.437286 +-0.388560 0.906970 0.573610 -0.980976 -0.192388 0.025927 0.244253 0.295247 +-0.174726 0.655484 0.772485 -0.006223 -0.393716 0.919211 0.230290 0.498661 +-0.191441 0.814931 0.840666 -0.006223 -0.393716 0.919211 0.311481 0.429358 +-0.228561 0.667726 0.777364 -0.006223 -0.393716 0.919211 0.207373 0.444213 +-0.257483 0.861991 0.826472 -0.388084 -0.279761 0.878137 0.301547 0.351777 +-0.228561 0.667726 0.777364 -0.388084 -0.279761 0.878137 0.207373 0.444213 +-0.191441 0.814931 0.840666 -0.388084 -0.279761 0.878137 0.311481 0.429358 +-0.174726 0.655484 0.772485 0.329157 -0.341881 0.880212 0.230290 0.498661 +-0.098672 0.649914 0.741881 0.329157 -0.341881 0.880212 0.269317 0.571634 +-0.191441 0.814931 0.840666 0.329157 -0.341881 0.880212 0.311481 0.429358 +-0.088868 0.732977 0.769612 0.341962 -0.333650 0.878487 0.321881 0.552836 +-0.191441 0.814931 0.840666 0.341962 -0.333650 0.878487 0.311481 0.429358 +-0.098672 0.649914 0.741881 0.341962 -0.333650 0.878487 0.269317 0.571634 +-0.116679 0.650594 0.512235 0.759798 -0.444126 -0.474825 0.459583 0.618157 +-0.103255 0.692424 0.494590 0.759798 -0.444126 -0.474825 0.436952 0.596656 +-0.070740 0.644639 0.591315 0.759798 -0.444126 -0.474825 0.476847 0.571135 +-0.047675 0.689279 0.582939 0.738573 -0.471945 -0.481433 0.455260 0.539044 +-0.070740 0.644639 0.591315 0.738573 -0.471945 -0.481433 0.476847 0.571135 +-0.103255 0.692424 0.494590 0.738573 -0.471945 -0.481433 0.436952 0.596656 +-0.196093 0.612980 0.452835 -0.325391 -0.467352 -0.822011 0.345487 0.474166 +-0.291123 0.647226 0.470982 -0.325391 -0.467352 -0.822011 0.247546 0.434309 +-0.193418 0.679360 0.414036 -0.325391 -0.467352 -0.822011 0.355812 0.431510 +-0.311188 0.743750 0.429845 -0.345989 -0.427800 -0.835032 0.236900 0.367845 +-0.193418 0.679360 0.414036 -0.345989 -0.427800 -0.835032 0.355812 0.431510 +-0.291123 0.647226 0.470982 -0.345989 -0.427800 -0.835032 0.247546 0.434309 +-0.291123 0.647226 0.470982 -0.772612 -0.377998 -0.510087 0.384803 0.439562 +-0.343117 0.669788 0.533016 -0.772612 -0.377998 -0.510087 0.326402 0.437286 +-0.311188 0.743750 0.429845 -0.772612 -0.377998 -0.510087 0.349703 0.382128 +-0.380000 0.850625 0.479387 -0.823111 -0.309148 -0.476357 0.261396 0.329517 +-0.311188 0.743750 0.429845 -0.823111 -0.309148 -0.476357 0.349703 0.382128 +-0.343117 0.669788 0.533016 -0.823111 -0.309148 -0.476357 0.326402 0.437286 +-0.270736 0.391070 0.608116 -0.956564 0.048341 0.287487 0.607855 0.661719 +-0.270736 0.325093 0.619210 -0.956564 0.048341 0.287487 0.642046 0.634785 +-0.260287 0.394408 0.642322 -0.956564 0.048341 0.287487 0.599097 0.654160 +-0.261987 0.326739 0.648849 -0.958602 0.051102 0.280127 0.635309 0.627986 +-0.260287 0.394408 0.642322 -0.958602 0.051102 0.280127 0.599097 0.654160 +-0.270736 0.325093 0.619210 -0.958602 0.051102 0.280127 0.642046 0.634785 +-0.200959 0.338152 0.732715 0.607555 -0.210627 0.765841 0.622135 0.480042 +-0.178600 0.333697 0.713752 0.607555 -0.210627 0.765841 0.599621 0.489659 +-0.201002 0.409530 0.752380 0.607555 -0.210627 0.765841 0.645738 0.520788 +-0.175497 0.405860 0.729689 0.636694 -0.192297 0.746755 0.620523 0.532565 +-0.201002 0.409530 0.752380 0.636694 -0.192297 0.746755 0.645738 0.520788 +-0.178600 0.333697 0.713752 0.636694 -0.192297 0.746755 0.599621 0.489659 +-0.161990 0.401702 0.688799 0.947781 -0.036679 0.316806 0.529196 0.573202 +-0.175497 0.405860 0.729689 0.947781 -0.036679 0.316806 0.536127 0.586434 +-0.162211 0.329839 0.681140 0.947781 -0.036679 0.316806 0.566586 0.544054 +-0.178600 0.333697 0.713752 0.878172 -0.138854 0.457748 0.575612 0.559624 +-0.162211 0.329839 0.681140 0.878172 -0.138854 0.457748 0.566586 0.544054 +-0.175497 0.405860 0.729689 0.878172 -0.138854 0.457748 0.536127 0.586434 +-0.148225 0.328049 0.609419 0.709607 0.025076 -0.704151 0.558106 0.531381 +-0.176281 0.325084 0.581040 0.709607 0.025076 -0.704151 0.578515 0.554127 +-0.142612 0.398601 0.617588 0.709607 0.025076 -0.704151 0.517769 0.555390 +-0.167913 0.391086 0.575845 0.857371 -0.147513 -0.493108 0.538683 0.573927 +-0.142612 0.398601 0.617588 0.857371 -0.147513 -0.493108 0.517769 0.555390 +-0.176281 0.325084 0.581040 0.857371 -0.147513 -0.493108 0.578515 0.554127 +-0.210193 0.387937 0.564010 -0.364983 -0.141758 -0.920159 0.568754 0.608744 +-0.214007 0.326258 0.575025 -0.364983 -0.141758 -0.920159 0.603283 0.586821 +-0.244685 0.386784 0.577869 -0.364983 -0.141758 -0.920159 0.592553 0.637725 +-0.250399 0.324189 0.586577 -0.295443 -0.105130 -0.949558 0.628835 0.617050 +-0.244685 0.386784 0.577869 -0.295443 -0.105130 -0.949558 0.592553 0.637725 +-0.214007 0.326258 0.575025 -0.295443 -0.105130 -0.949558 0.603283 0.586821 +-0.270736 0.391070 0.608116 -0.760796 -0.107617 -0.640006 0.607855 0.661719 +-0.244685 0.386784 0.577869 -0.760796 -0.107617 -0.640006 0.592553 0.637725 +-0.270736 0.325093 0.619210 -0.760796 -0.107617 -0.640006 0.642046 0.634785 +-0.250399 0.324189 0.586577 -0.848628 0.003878 -0.528976 0.628835 0.617050 +-0.270736 0.325093 0.619210 -0.848628 0.003878 -0.528976 0.642046 0.634785 +-0.244685 0.386784 0.577869 -0.848628 0.003878 -0.528976 0.592553 0.637725 +-0.261987 0.326739 0.648849 -0.958988 -0.005605 0.283391 0.581513 0.370112 +-0.270736 0.325093 0.619210 -0.958988 -0.005605 0.283391 0.589203 0.364413 +-0.277107 0.159115 0.594368 -0.958988 -0.005605 0.283391 0.540407 0.266145 +-0.277643 0.163536 0.564086 -0.999130 0.034941 0.022786 0.542371 0.268379 +-0.277107 0.159115 0.594368 -0.999130 0.034941 0.022786 0.540407 0.266145 +-0.270736 0.325093 0.619210 -0.999130 0.034941 0.022786 0.589203 0.364413 +-0.209338 0.151392 0.666894 0.564059 -0.296867 0.770524 0.568368 0.368812 +-0.191454 0.149048 0.652899 0.564059 -0.296867 0.770524 0.550763 0.377201 +-0.200959 0.338152 0.732715 0.564059 -0.296867 0.770524 0.622135 0.480042 +-0.178600 0.333697 0.713752 0.584641 -0.290358 0.757554 0.599621 0.489659 +-0.200959 0.338152 0.732715 0.584641 -0.290358 0.757554 0.622135 0.480042 +-0.191454 0.149048 0.652899 0.584641 -0.290358 0.757554 0.550763 0.377201 +-0.162211 0.329839 0.681140 0.870656 -0.177910 0.458591 0.582923 0.496370 +-0.178600 0.333697 0.713752 0.870656 -0.177910 0.458591 0.599621 0.489659 +-0.166089 0.155459 0.620852 0.870656 -0.177910 0.458591 0.529008 0.394659 +-0.191454 0.149048 0.652899 0.783683 -0.242956 0.571676 0.550763 0.377201 +-0.166089 0.155459 0.620852 0.783683 -0.242956 0.571676 0.529008 0.394659 +-0.178600 0.333697 0.713752 0.783683 -0.242956 0.571676 0.599621 0.489659 +-0.148225 0.328049 0.609419 0.702628 0.097614 -0.704830 0.569170 0.502955 +-0.182677 0.164101 0.552369 0.702628 0.097614 -0.704830 0.547472 0.390572 +-0.176281 0.325084 0.581040 0.702628 0.097614 -0.704830 0.594595 0.486001 +-0.210195 0.169644 0.534058 0.566799 0.122576 -0.814686 0.575200 0.378771 +-0.176281 0.325084 0.581040 0.566799 0.122576 -0.814686 0.594595 0.486001 +-0.182677 0.164101 0.552369 0.566799 0.122576 -0.814686 0.547472 0.390572 +-0.214007 0.326258 0.575025 -0.305580 0.258882 -0.916297 0.630488 0.466151 +-0.229663 0.171279 0.536460 -0.305580 0.258882 -0.916297 0.594062 0.369115 +-0.250399 0.324189 0.586577 -0.305580 0.258882 -0.916297 0.664055 0.445175 +-0.249859 0.169297 0.543077 -0.323568 0.254790 -0.911255 0.612415 0.356998 +-0.250399 0.324189 0.586577 -0.323568 0.254790 -0.911255 0.664055 0.445175 +-0.229663 0.171279 0.536460 -0.323568 0.254790 -0.911255 0.594062 0.369115 +-0.270736 0.325093 0.619210 -0.826527 0.213103 -0.520998 0.589203 0.364413 +-0.250399 0.324189 0.586577 -0.826527 0.213103 -0.520998 0.569765 0.374959 +-0.277643 0.163536 0.564086 -0.826527 0.213103 -0.520998 0.542371 0.268379 +-0.249859 0.169297 0.543077 -0.617019 0.210781 -0.758195 0.518125 0.286782 +-0.277643 0.163536 0.564086 -0.617019 0.210781 -0.758195 0.542371 0.268379 +-0.250399 0.324189 0.586577 -0.617019 0.210781 -0.758195 0.569765 0.374959 +-0.268234 0.156155 0.627424 -0.659167 -0.150218 0.736840 0.625369 0.339497 +-0.231067 0.153241 0.660079 -0.659167 -0.150218 0.736840 0.589429 0.358048 +-0.246793 0.328611 0.681763 -0.659167 -0.150218 0.736840 0.662120 0.449662 +-0.232782 0.332184 0.708077 -0.866506 -0.137051 0.479984 0.650114 0.459324 +-0.246793 0.328611 0.681763 -0.866506 -0.137051 0.479984 0.662120 0.449662 +-0.231067 0.153241 0.660079 -0.866506 -0.137051 0.479984 0.589429 0.358048 +-0.247846 0.398317 0.680231 -0.964016 -0.008723 0.265702 0.588703 0.645132 +-0.246793 0.328611 0.681763 -0.964016 -0.008723 0.265702 0.624118 0.615776 +-0.238095 0.403665 0.715785 -0.964016 -0.008723 0.265702 0.579372 0.638989 +-0.232782 0.332184 0.708077 -0.870044 -0.116326 0.479053 0.612841 0.605271 +-0.238095 0.403665 0.715785 -0.870044 -0.116326 0.479053 0.579372 0.638989 +-0.246793 0.328611 0.681763 -0.870044 -0.116326 0.479053 0.624118 0.615776 +-0.247846 0.398317 0.680231 -0.941469 -0.179667 0.285231 0.588703 0.645132 +-0.238095 0.403665 0.715785 -0.941469 -0.179667 0.285231 0.579372 0.638989 +-0.265205 0.482234 0.675793 -0.941469 -0.179667 0.285231 0.556892 0.694213 +-0.249918 0.477302 0.703367 -0.877538 -0.060682 0.475652 0.549165 0.679146 +-0.265205 0.482234 0.675793 -0.877538 -0.060682 0.475652 0.556892 0.694213 +-0.238095 0.403665 0.715785 -0.877538 -0.060682 0.475652 0.579372 0.638989 +-0.310846 0.685292 0.688865 -0.879577 -0.178087 0.441167 0.291236 0.414216 +-0.275723 0.676234 0.755235 -0.879577 -0.178087 0.441167 0.316518 0.443442 +-0.362855 0.934781 0.685884 -0.879577 -0.178087 0.441167 0.354413 0.252059 +-0.310224 0.897805 0.786234 -0.896302 -0.195266 0.398138 0.382323 0.307639 +-0.362855 0.934781 0.685884 -0.896302 -0.195266 0.398138 0.354413 0.252059 +-0.275723 0.676234 0.755235 -0.896302 -0.195266 0.398138 0.316518 0.443442 +-0.343043 1.105304 0.675234 -0.938880 0.129015 0.319155 0.494597 0.301995 +-0.362855 0.934781 0.685884 -0.938880 0.129015 0.319155 0.398450 0.239747 +-0.315812 1.086902 0.762780 -0.938880 0.129015 0.319155 0.472220 0.324860 +-0.310224 0.897805 0.786234 -0.880102 0.032740 0.473655 0.354338 0.283591 +-0.315812 1.086902 0.762780 -0.880102 0.032740 0.473655 0.472220 0.324860 +-0.362855 0.934781 0.685884 -0.880102 0.032740 0.473655 0.398450 0.239747 +-0.312485 0.044161 0.544627 -0.954130 0.276021 -0.115963 0.567725 0.354831 +-0.305828 0.050020 0.503800 -0.954130 0.276021 -0.115963 0.563394 0.361798 +-0.323680 -0.000566 0.530277 -0.954130 0.276021 -0.115963 0.563496 0.323194 +-0.320365 -0.000390 0.485449 -0.951555 0.299593 -0.069191 0.560434 0.325098 +-0.323680 -0.000566 0.530277 -0.951555 0.299593 -0.069191 0.563496 0.323194 +-0.305828 0.050020 0.503800 -0.951555 0.299593 -0.069191 0.563394 0.361798 +-0.222234 -0.000566 0.612449 0.145624 -0.336965 0.930187 0.468021 0.378374 +-0.187262 -0.000566 0.606974 0.145624 -0.336965 0.930187 0.435108 0.397397 +-0.217708 0.032393 0.623680 0.145624 -0.336965 0.930187 0.474642 0.399661 +-0.186751 0.034908 0.612696 0.341499 -0.154462 0.927103 0.508658 0.314564 +-0.217708 0.032393 0.623680 0.341499 -0.154462 0.927103 0.474642 0.399661 +-0.187262 -0.000566 0.606974 0.341499 -0.154462 0.927103 0.435108 0.397397 +-0.155436 0.044730 0.559053 0.862004 0.018348 0.506569 0.482429 0.337208 +-0.186751 0.034908 0.612696 0.862004 0.018348 0.506569 0.508658 0.314564 +-0.153742 -0.000566 0.557811 0.862004 0.018348 0.506569 0.403561 0.415629 +-0.187262 -0.000566 0.606974 0.821900 -0.102230 0.560383 0.435108 0.397397 +-0.153742 -0.000566 0.557811 0.821900 -0.102230 0.560383 0.403561 0.415629 +-0.186751 0.034908 0.612696 0.821900 -0.102230 0.560383 0.508658 0.314564 +-0.171417 0.048275 0.482939 0.380913 0.430782 -0.818127 0.498639 0.330541 +-0.167233 -0.000566 0.459170 0.380913 0.430782 -0.818127 0.416258 0.408291 +-0.223805 0.052471 0.460757 0.380913 0.430782 -0.818127 0.487008 0.407813 +-0.220789 -0.000566 0.442452 0.281564 0.327320 -0.901989 0.466661 0.379160 +-0.223805 0.052471 0.460757 0.281564 0.327320 -0.901989 0.487008 0.407813 +-0.167233 -0.000566 0.459170 0.281564 0.327320 -0.901989 0.416258 0.408291 +-0.239054 0.052529 0.473485 0.358047 0.093671 -0.928993 0.501379 0.399551 +-0.242179 -0.000566 0.466927 0.358047 0.093671 -0.928993 0.486792 0.367525 +-0.260517 0.052600 0.465220 0.358047 0.093671 -0.928993 0.521601 0.387918 +-0.269638 -0.000566 0.446302 0.590921 0.178561 -0.786720 0.512635 0.352589 +-0.260517 0.052600 0.465220 0.590921 0.178561 -0.786720 0.521601 0.387918 +-0.242179 -0.000566 0.466927 0.590921 0.178561 -0.786720 0.486792 0.367525 +-0.305828 0.050020 0.503800 -0.601902 0.420674 -0.678783 0.563394 0.361798 +-0.260517 0.052600 0.465220 -0.601902 0.420674 -0.678783 0.521601 0.387918 +-0.320365 -0.000390 0.485449 -0.601902 0.420674 -0.678783 0.560434 0.325098 +-0.269638 -0.000566 0.446302 -0.569061 0.360590 -0.739016 0.512635 0.352589 +-0.320365 -0.000390 0.485449 -0.569061 0.360590 -0.739016 0.560434 0.325098 +-0.260517 0.052600 0.465220 -0.569061 0.360590 -0.739016 0.521601 0.387918 +-0.251605 0.036680 0.623111 -0.576624 -0.070636 0.813950 0.507959 0.383672 +-0.306784 0.041477 0.584437 -0.576624 -0.070636 0.813950 0.561474 0.356398 +-0.254878 -0.000566 0.617560 -0.576624 -0.070636 0.813950 0.498744 0.360618 +-0.307234 -0.000390 0.573768 -0.630848 -0.185228 0.753473 0.548076 0.332240 +-0.254878 -0.000566 0.617560 -0.630848 -0.185228 0.753473 0.498744 0.360618 +-0.306784 0.041477 0.584437 -0.630848 -0.185228 0.753473 0.561474 0.356398 +-0.291826 0.081698 0.566355 -0.879753 0.475177 0.015560 0.560673 0.387508 +-0.289658 0.087188 0.521276 -0.879753 0.475177 0.015560 0.560445 0.391823 +-0.312485 0.044161 0.544627 -0.879753 0.475177 0.015560 0.567725 0.354831 +-0.305828 0.050020 0.503800 -0.898504 0.430717 -0.084693 0.563394 0.361798 +-0.312485 0.044161 0.544627 -0.898504 0.430717 -0.084693 0.567725 0.354831 +-0.289658 0.087188 0.521276 -0.898504 0.430717 -0.084693 0.560445 0.391823 +-0.209317 0.075414 0.654582 0.331394 -0.592214 0.734480 0.543267 0.325426 +-0.217708 0.032393 0.623680 0.331394 -0.592214 0.734480 0.474642 0.399661 +-0.188509 0.076114 0.645758 0.331394 -0.592214 0.734480 0.523915 0.337144 +-0.186751 0.034908 0.612696 0.312783 -0.586262 0.747304 0.508658 0.314564 +-0.188509 0.076114 0.645758 0.312783 -0.586262 0.747304 0.523915 0.337144 +-0.217708 0.032393 0.623680 0.312783 -0.586262 0.747304 0.474642 0.399661 +-0.159072 0.082848 0.588271 0.875425 -0.238673 0.420316 0.498434 0.357002 +-0.188509 0.076114 0.645758 0.875425 -0.238673 0.420316 0.523915 0.337144 +-0.155436 0.044730 0.559053 0.875425 -0.238673 0.420316 0.482429 0.337208 +-0.186751 0.034908 0.612696 0.843999 -0.313287 0.435336 0.508658 0.314564 +-0.155436 0.044730 0.559053 0.843999 -0.313287 0.435336 0.482429 0.337208 +-0.188509 0.076114 0.645758 0.843999 -0.313287 0.435336 0.523915 0.337144 +-0.179070 0.086362 0.506104 0.393394 0.534157 -0.748276 0.518415 0.348132 +-0.171417 0.048275 0.482939 0.393394 0.534157 -0.748276 0.498639 0.330541 +-0.218592 0.091478 0.488978 0.393394 0.534157 -0.748276 0.557299 0.329556 +-0.223805 0.052471 0.460757 0.369409 0.511791 -0.775633 0.487008 0.407813 +-0.218592 0.091478 0.488978 0.369409 0.511791 -0.775633 0.557299 0.329556 +-0.171417 0.048275 0.482939 0.369409 0.511791 -0.775633 0.498639 0.330541 +-0.236035 0.085419 0.495774 0.325227 0.509861 -0.796410 0.571715 0.316608 +-0.239054 0.052529 0.473485 0.325227 0.509861 -0.796410 0.501379 0.399551 +-0.254084 0.091707 0.492429 0.325227 0.509861 -0.796410 0.528457 0.413754 +-0.260517 0.052600 0.465220 0.311043 0.507786 -0.803372 0.521601 0.387918 +-0.254084 0.091707 0.492429 0.311043 0.507786 -0.803372 0.528457 0.413754 +-0.239054 0.052529 0.473485 0.311043 0.507786 -0.803372 0.501379 0.399551 +-0.289658 0.087188 0.521276 -0.570637 0.539402 -0.619208 0.560445 0.391823 +-0.254084 0.091707 0.492429 -0.570637 0.539402 -0.619208 0.528457 0.413754 +-0.305828 0.050020 0.503800 -0.570637 0.539402 -0.619208 0.563394 0.361798 +-0.260517 0.052600 0.465220 -0.566519 0.531395 -0.629822 0.521601 0.387918 +-0.305828 0.050020 0.503800 -0.566519 0.531395 -0.629822 0.563394 0.361798 +-0.254084 0.091707 0.492429 -0.566519 0.531395 -0.629822 0.528457 0.413754 +-0.235307 0.079683 0.654334 -0.620218 -0.293205 0.727572 0.506816 0.417100 +-0.286406 0.079691 0.610778 -0.620218 -0.293205 0.727572 0.554909 0.389310 +-0.251605 0.036680 0.623111 -0.620218 -0.293205 0.727572 0.507959 0.383672 +-0.306784 0.041477 0.584437 -0.571331 -0.236962 0.785767 0.561474 0.356398 +-0.251605 0.036680 0.623111 -0.571331 -0.236962 0.785767 0.507959 0.383672 +-0.286406 0.079691 0.610778 -0.571331 -0.236962 0.785767 0.554909 0.389310 +-0.284402 0.112761 0.576404 -0.971556 0.236445 -0.013123 0.563941 0.409289 +-0.282348 0.119478 0.545361 -0.971556 0.236445 -0.013123 0.564225 0.414242 +-0.291826 0.081698 0.566355 -0.971556 0.236445 -0.013123 0.560673 0.387508 +-0.289658 0.087188 0.521276 -0.972132 0.233719 -0.018289 0.560445 0.391823 +-0.291826 0.081698 0.566355 -0.972132 0.233719 -0.018289 0.560673 0.387508 +-0.282348 0.119478 0.545361 -0.972132 0.233719 -0.018289 0.564225 0.414242 +-0.208967 0.095824 0.676069 0.587614 -0.591421 0.552206 0.549676 0.337274 +-0.209317 0.075414 0.654582 0.587614 -0.591421 0.552206 0.543267 0.325426 +-0.190077 0.095630 0.655760 0.587614 -0.591421 0.552206 0.531833 0.347439 +-0.188509 0.076114 0.645758 0.369164 -0.400216 0.838776 0.523915 0.337144 +-0.190077 0.095630 0.655760 0.369164 -0.400216 0.838776 0.531833 0.347439 +-0.209317 0.075414 0.654582 0.369164 -0.400216 0.838776 0.543267 0.325426 +-0.163027 0.111351 0.600441 0.903153 -0.056399 0.425598 0.511565 0.371131 +-0.190077 0.095630 0.655760 0.903153 -0.056399 0.425598 0.531833 0.347439 +-0.159072 0.082848 0.588271 0.903153 -0.056399 0.425598 0.498434 0.357002 +-0.188509 0.076114 0.645758 0.886828 -0.152337 0.436268 0.523915 0.337144 +-0.159072 0.082848 0.588271 0.886828 -0.152337 0.436268 0.498434 0.357002 +-0.190077 0.095630 0.655760 0.886828 -0.152337 0.436268 0.531833 0.347439 +-0.182943 0.120103 0.532746 0.497680 0.571979 -0.652039 0.533198 0.365297 +-0.179070 0.086362 0.506104 0.497680 0.571979 -0.652039 0.518415 0.348132 +-0.214153 0.127241 0.515186 0.497680 0.571979 -0.652039 0.564927 0.352398 +-0.218592 0.091478 0.488978 0.396735 0.510041 -0.763190 0.557299 0.329556 +-0.214153 0.127241 0.515186 0.396735 0.510041 -0.763190 0.564927 0.352398 +-0.179070 0.086362 0.506104 0.396735 0.510041 -0.763190 0.518415 0.348132 +-0.232231 0.128260 0.518961 -0.231853 0.478861 -0.846721 0.582278 0.343147 +-0.236035 0.085419 0.495774 -0.231853 0.478861 -0.846721 0.571715 0.316608 +-0.251436 0.128080 0.524118 -0.231853 0.478861 -0.846721 0.537972 0.435970 +-0.254084 0.091707 0.492429 0.343441 0.602596 -0.720365 0.528457 0.413754 +-0.251436 0.128080 0.524118 0.343441 0.602596 -0.720365 0.537972 0.435970 +-0.236035 0.085419 0.495774 0.343441 0.602596 -0.720365 0.571715 0.316608 +-0.282348 0.119478 0.545361 -0.566897 0.571142 -0.593654 0.564225 0.414242 +-0.251436 0.128080 0.524118 -0.566897 0.571142 -0.593654 0.537972 0.435970 +-0.289658 0.087188 0.521276 -0.566897 0.571142 -0.593654 0.560445 0.391823 +-0.254084 0.091707 0.492429 -0.561240 0.566529 -0.603370 0.528457 0.413754 +-0.289658 0.087188 0.521276 -0.561240 0.566529 -0.603370 0.560445 0.391823 +-0.251436 0.128080 0.524118 -0.561240 0.566529 -0.603370 0.537972 0.435970 +-0.232840 0.096986 0.663758 -0.752565 -0.228979 0.617426 0.510206 0.428325 +-0.277154 0.111693 0.615199 -0.752565 -0.228979 0.617426 0.556767 0.412620 +-0.235307 0.079683 0.654334 -0.752565 -0.228979 0.617426 0.506816 0.417100 +-0.286406 0.079691 0.610778 -0.646503 0.082125 0.758478 0.554909 0.389310 +-0.235307 0.079683 0.654334 -0.646503 0.082125 0.758478 0.506816 0.417100 +-0.277154 0.111693 0.615199 -0.646503 0.082125 0.758478 0.556767 0.412620 +-0.257483 0.861991 0.826472 -0.626019 -0.047383 0.778367 0.310892 0.327833 +-0.251929 1.034970 0.841469 -0.626019 -0.047383 0.778367 0.414368 0.376328 +-0.310224 0.897805 0.786234 -0.626019 -0.047383 0.778367 0.354338 0.283591 +-0.315812 1.086902 0.762780 -0.755770 0.058561 0.652214 0.472220 0.324860 +-0.310224 0.897805 0.786234 -0.755770 0.058561 0.652214 0.354338 0.283591 +-0.251929 1.034970 0.841469 -0.755770 0.058561 0.652214 0.414368 0.376328 +-0.228561 0.667726 0.777364 -0.448746 -0.281237 0.848253 0.207373 0.444213 +-0.257483 0.861991 0.826472 -0.448746 -0.281237 0.848253 0.301547 0.351777 +-0.275723 0.676234 0.755235 -0.448746 -0.281237 0.848253 0.186040 0.397260 +-0.310224 0.897805 0.786234 -0.677690 -0.204351 0.706383 0.292610 0.290417 +-0.275723 0.676234 0.755235 -0.677690 -0.204351 0.706383 0.186040 0.397260 +-0.257483 0.861991 0.826472 -0.677690 -0.204351 0.706383 0.301547 0.351777 +-0.201002 0.409530 0.752380 -0.699075 0.256407 0.667495 0.551382 0.609710 +-0.207105 0.466516 0.724098 -0.699075 0.256407 0.667495 0.525955 0.638186 +-0.238095 0.403665 0.715785 -0.699075 0.256407 0.667495 0.579372 0.638989 +-0.249918 0.477302 0.703367 -0.416635 0.085728 0.905023 0.549165 0.679146 +-0.238095 0.403665 0.715785 -0.416635 0.085728 0.905023 0.579372 0.638989 +-0.207105 0.466516 0.724098 -0.416635 0.085728 0.905023 0.525955 0.638186 +-0.201002 0.409530 0.752380 -0.672604 -0.196928 0.713319 0.551382 0.609710 +-0.238095 0.403665 0.715785 -0.672604 -0.196928 0.713319 0.579372 0.638989 +-0.200959 0.338152 0.732715 -0.672604 -0.196928 0.713319 0.588343 0.580535 +-0.232782 0.332184 0.708077 -0.591678 -0.129776 0.795660 0.612841 0.605271 +-0.200959 0.338152 0.732715 -0.591678 -0.129776 0.795660 0.588343 0.580535 +-0.238095 0.403665 0.715785 -0.591678 -0.129776 0.795660 0.579372 0.638989 +-0.200959 0.338152 0.732715 -0.562355 -0.252301 0.787465 0.622135 0.480042 +-0.232782 0.332184 0.708077 -0.562355 -0.252301 0.787465 0.650114 0.459324 +-0.209338 0.151392 0.666894 -0.562355 -0.252301 0.787465 0.568368 0.368812 +-0.231067 0.153241 0.660079 -0.309065 -0.249151 0.917825 0.589429 0.358048 +-0.209338 0.151392 0.666894 -0.309065 -0.249151 0.917825 0.568368 0.368812 +-0.232782 0.332184 0.708077 -0.309065 -0.249151 0.917825 0.650114 0.459324 +-0.208967 0.095824 0.676069 -0.364976 -0.672052 0.644312 0.549676 0.337274 +-0.232840 0.096986 0.663758 -0.364976 -0.672052 0.644312 0.510206 0.428325 +-0.209317 0.075414 0.654582 -0.364976 -0.672052 0.644312 0.543267 0.325426 +-0.235307 0.079683 0.654334 -0.085135 -0.467178 0.880055 0.506816 0.417100 +-0.209317 0.075414 0.654582 -0.085135 -0.467178 0.880055 0.543267 0.325426 +-0.232840 0.096986 0.663758 -0.085135 -0.467178 0.880055 0.510206 0.428325 +-0.209317 0.075414 0.654582 -0.100988 -0.567345 0.817264 0.543267 0.325426 +-0.235307 0.079683 0.654334 -0.100988 -0.567345 0.817264 0.506816 0.417100 +-0.217708 0.032393 0.623680 -0.100988 -0.567345 0.817264 0.474642 0.399661 +-0.251605 0.036680 0.623111 -0.085126 -0.564074 0.821325 0.507959 0.383672 +-0.217708 0.032393 0.623680 -0.085126 -0.564074 0.821325 0.474642 0.399661 +-0.235307 0.079683 0.654334 -0.085126 -0.564074 0.821325 0.506816 0.417100 +-0.217708 0.032393 0.623680 -0.055763 -0.315174 0.947394 0.474642 0.399661 +-0.251605 0.036680 0.623111 -0.055763 -0.315174 0.947394 0.507959 0.383672 +-0.222234 -0.000566 0.612449 -0.055763 -0.315174 0.947394 0.468021 0.378374 +-0.254878 -0.000566 0.617560 0.152722 -0.158794 0.975428 0.498744 0.360618 +-0.222234 -0.000566 0.612449 0.152722 -0.158794 0.975428 0.468021 0.378374 +-0.251605 0.036680 0.623111 0.152722 -0.158794 0.975428 0.507959 0.383672 +-0.030152 0.713972 0.581907 0.809063 -0.567799 0.151727 0.444717 0.516305 +-0.037486 0.731377 0.686148 0.809063 -0.567799 0.151727 0.431509 0.520882 +-0.047675 0.689279 0.582939 0.809063 -0.567799 0.151727 0.455260 0.539044 +-0.051595 0.703427 0.678974 0.876682 -0.469482 0.104950 0.445123 0.540627 +-0.047675 0.689279 0.582939 0.876682 -0.469482 0.104950 0.455260 0.539044 +-0.037486 0.731377 0.686148 0.876682 -0.469482 0.104950 0.431509 0.520882 +-0.047675 0.689279 0.582939 0.891469 -0.441579 0.101442 0.455260 0.539044 +-0.051595 0.703427 0.678974 0.891469 -0.441579 0.101442 0.445123 0.540627 +-0.070740 0.644639 0.591315 0.891469 -0.441579 0.101442 0.476847 0.571135 +-0.068726 0.647439 0.667268 0.956991 -0.289744 -0.014695 0.475660 0.568528 +-0.070740 0.644639 0.591315 0.956991 -0.289744 -0.014695 0.476847 0.571135 +-0.051595 0.703427 0.678974 0.956991 -0.289744 -0.014695 0.445123 0.540627 +-0.121016 0.489468 0.612952 0.966310 -0.235013 -0.104950 0.456152 0.574045 +-0.116559 0.489535 0.653839 0.966310 -0.235013 -0.104950 0.453120 0.570267 +-0.142612 0.398601 0.617588 0.966310 -0.235013 -0.104950 0.517769 0.555390 +-0.141864 0.398320 0.649581 0.963607 -0.266164 -0.024867 0.517411 0.554637 +-0.142612 0.398601 0.617588 0.963607 -0.266164 -0.024867 0.517769 0.555390 +-0.116559 0.489535 0.653839 0.963607 -0.266164 -0.024867 0.453120 0.570267 +-0.142612 0.398601 0.617588 0.996779 -0.076526 -0.023977 0.517769 0.555390 +-0.141864 0.398320 0.649581 0.996779 -0.076526 -0.023977 0.517411 0.554637 +-0.148225 0.328049 0.609419 0.996779 -0.076526 -0.023977 0.558106 0.531381 +-0.142688 0.328296 0.649372 0.990480 -0.011246 -0.137199 0.554254 0.526754 +-0.148225 0.328049 0.609419 0.990480 -0.011246 -0.137199 0.558106 0.531381 +-0.141864 0.398320 0.649581 0.990480 -0.011246 -0.137199 0.517411 0.554637 +-0.182677 0.164101 0.552369 0.928574 -0.068178 -0.364831 0.547472 0.390572 +-0.148225 0.328049 0.609419 0.928574 -0.068178 -0.364831 0.569170 0.502955 +-0.169900 0.162331 0.585220 0.928574 -0.068178 -0.364831 0.534863 0.396512 +-0.142688 0.328296 0.649372 0.984726 -0.108967 -0.135797 0.564041 0.506108 +-0.169900 0.162331 0.585220 0.984726 -0.108967 -0.135797 0.534863 0.396512 +-0.148225 0.328049 0.609419 0.984726 -0.108967 -0.135797 0.569170 0.502955 +-0.179070 0.086362 0.506104 0.907803 0.319099 -0.272156 0.518415 0.348132 +-0.182943 0.120103 0.532746 0.907803 0.319099 -0.272156 0.533198 0.365297 +-0.164135 0.084703 0.553976 0.907803 0.319099 -0.272156 0.503811 0.355308 +-0.168712 0.116333 0.566050 0.897222 0.264742 -0.353420 0.518561 0.370884 +-0.164135 0.084703 0.553976 0.897222 0.264742 -0.353420 0.503811 0.355308 +-0.182943 0.120103 0.532746 0.897222 0.264742 -0.353420 0.533198 0.365297 +-0.171417 0.048275 0.482939 0.847089 0.389874 -0.361164 0.498639 0.330541 +-0.179070 0.086362 0.506104 0.847089 0.389874 -0.361164 0.518415 0.348132 +-0.154307 0.045954 0.520564 0.847089 0.389874 -0.361164 0.481771 0.338521 +-0.164135 0.084703 0.553976 0.862518 0.437708 -0.253918 0.503811 0.355308 +-0.154307 0.045954 0.520564 0.862518 0.437708 -0.253918 0.481771 0.338521 +-0.179070 0.086362 0.506104 0.862518 0.437708 -0.253918 0.518415 0.348132 +-0.167233 -0.000566 0.459170 0.858222 0.282178 -0.428755 0.416258 0.408291 +-0.171417 0.048275 0.482939 0.858222 0.282178 -0.428755 0.498639 0.330541 +-0.146152 -0.000566 0.501367 0.858222 0.282178 -0.428755 0.396418 0.419757 +-0.154307 0.045954 0.520564 0.872806 0.308929 -0.377852 0.481771 0.338521 +-0.146152 -0.000566 0.501367 0.872806 0.308929 -0.377852 0.396418 0.419757 +-0.171417 0.048275 0.482939 0.872806 0.308929 -0.377852 0.498639 0.330541 +-0.194984 0.710710 0.389910 0.536842 -0.497539 -0.681363 0.250386 0.461131 +-0.091850 0.699313 0.479491 0.536842 -0.497539 -0.681363 0.301128 0.561381 +-0.193418 0.679360 0.414036 0.536842 -0.497539 -0.681363 0.233468 0.473149 +-0.103255 0.692424 0.494590 0.307400 -0.931813 -0.192950 0.290893 0.553038 +-0.193418 0.679360 0.414036 0.307400 -0.931813 -0.192950 0.233468 0.473149 +-0.091850 0.699313 0.479491 0.307400 -0.931813 -0.192950 0.301128 0.561381 +-0.193418 0.679360 0.414036 0.640773 -0.406496 -0.651284 0.233468 0.473149 +-0.103255 0.692424 0.494590 0.640773 -0.406496 -0.651284 0.290893 0.553038 +-0.196093 0.612980 0.452835 0.640773 -0.406496 -0.651284 0.194323 0.492995 +-0.116679 0.650594 0.512235 0.661077 -0.461654 -0.591483 0.259714 0.554571 +-0.196093 0.612980 0.452835 0.661077 -0.461654 -0.591483 0.194323 0.492995 +-0.103255 0.692424 0.494590 0.661077 -0.461654 -0.591483 0.290893 0.553038 +-0.210193 0.387937 0.564010 0.274065 -0.409714 -0.870071 0.568754 0.608744 +-0.204691 0.474041 0.525197 0.274065 -0.409714 -0.870071 0.520432 0.639196 +-0.167913 0.391086 0.575845 0.274065 -0.409714 -0.870071 0.538683 0.573927 +-0.147059 0.487339 0.559099 0.533332 -0.255829 -0.806293 0.474773 0.595414 +-0.167913 0.391086 0.575845 0.533332 -0.255829 -0.806293 0.538683 0.573927 +-0.204691 0.474041 0.525197 0.533332 -0.255829 -0.806293 0.520432 0.639196 +-0.214007 0.326258 0.575025 0.149249 -0.182772 -0.971761 0.630488 0.466151 +-0.210193 0.387937 0.564010 0.149249 -0.182772 -0.971761 0.647260 0.503455 +-0.176281 0.325084 0.581040 0.149249 -0.182772 -0.971761 0.594595 0.486001 +-0.167913 0.391086 0.575845 0.275515 -0.110097 -0.954971 0.608508 0.528251 +-0.176281 0.325084 0.581040 0.275515 -0.110097 -0.954971 0.594595 0.486001 +-0.210193 0.387937 0.564010 0.275515 -0.110097 -0.954971 0.647260 0.503455 +-0.229663 0.171279 0.536460 -0.097900 0.249618 -0.963383 0.594062 0.369115 +-0.214007 0.326258 0.575025 -0.097900 0.249618 -0.963383 0.630488 0.466151 +-0.210195 0.169644 0.534058 -0.097900 0.249618 -0.963383 0.575200 0.378771 +-0.176281 0.325084 0.581040 0.159996 0.253448 -0.954026 0.594595 0.486001 +-0.210195 0.169644 0.534058 0.159996 0.253448 -0.954026 0.575200 0.378771 +-0.214007 0.326258 0.575025 0.159996 0.253448 -0.954026 0.630488 0.466151 +-0.236035 0.085419 0.495774 -0.456006 0.454596 -0.765115 0.571715 0.316608 +-0.232231 0.128260 0.518961 -0.456006 0.454596 -0.765115 0.582278 0.343147 +-0.218592 0.091478 0.488978 -0.456006 0.454596 -0.765115 0.557299 0.329556 +-0.214153 0.127241 0.515186 -0.131698 0.596532 -0.791710 0.564927 0.352398 +-0.218592 0.091478 0.488978 -0.131698 0.596532 -0.791710 0.557299 0.329556 +-0.232231 0.128260 0.518961 -0.131698 0.596532 -0.791710 0.582278 0.343147 +-0.236035 0.085419 0.495774 -0.461154 0.526404 -0.714308 0.571715 0.316608 +-0.218592 0.091478 0.488978 -0.461154 0.526404 -0.714308 0.557299 0.329556 +-0.239054 0.052529 0.473485 -0.461154 0.526404 -0.714308 0.501379 0.399551 +-0.223805 0.052471 0.460757 -0.538083 0.540094 -0.647121 0.487008 0.407813 +-0.239054 0.052529 0.473485 -0.538083 0.540094 -0.647121 0.501379 0.399551 +-0.218592 0.091478 0.488978 -0.538083 0.540094 -0.647121 0.557299 0.329556 +-0.242179 -0.000566 0.466927 -0.747097 0.124618 -0.652929 0.486792 0.367525 +-0.239054 0.052529 0.473485 -0.747097 0.124618 -0.652929 0.501379 0.399551 +-0.220789 -0.000566 0.442452 -0.747097 0.124618 -0.652929 0.466661 0.379160 +-0.223805 0.052471 0.460757 -0.624165 0.222947 -0.748807 0.487008 0.407813 +-0.220789 -0.000566 0.442452 -0.624165 0.222947 -0.748807 0.466661 0.379160 +-0.239054 0.052529 0.473485 -0.624165 0.222947 -0.748807 0.501379 0.399551 +-0.051595 0.703427 0.678974 0.737503 -0.491239 0.463437 0.445123 0.540627 +-0.037486 0.731377 0.686148 0.737503 -0.491239 0.463437 0.431509 0.520882 +-0.088868 0.732977 0.769612 0.737503 -0.491239 0.463437 0.415414 0.574375 +-0.087118 0.767209 0.775469 0.842948 -0.132315 0.521471 0.394183 0.566447 +-0.088868 0.732977 0.769612 0.842948 -0.132315 0.521471 0.415414 0.574375 +-0.037486 0.731377 0.686148 0.842948 -0.132315 0.521471 0.431509 0.520882 +-0.068726 0.647439 0.667268 0.868465 -0.340972 0.359870 0.475660 0.568528 +-0.051595 0.703427 0.678974 0.868465 -0.340972 0.359870 0.445123 0.540627 +-0.098672 0.649914 0.741881 0.868465 -0.340972 0.359870 0.465300 0.599430 +-0.088868 0.732977 0.769612 0.864920 -0.247805 0.436470 0.415414 0.574375 +-0.098672 0.649914 0.741881 0.864920 -0.247805 0.436470 0.465300 0.599430 +-0.051595 0.703427 0.678974 0.864920 -0.247805 0.436470 0.445123 0.540627 +-0.141864 0.398320 0.649581 0.850522 -0.257364 0.458667 0.517411 0.554637 +-0.116559 0.489535 0.653839 0.850522 -0.257364 0.458667 0.453120 0.570267 +-0.161990 0.401702 0.688799 0.850522 -0.257364 0.458667 0.529196 0.573202 +-0.133645 0.483091 0.691215 0.881930 -0.317489 0.348426 0.467952 0.582225 +-0.161990 0.401702 0.688799 0.881930 -0.317489 0.348426 0.529196 0.573202 +-0.116559 0.489535 0.653839 0.881930 -0.317489 0.348426 0.453120 0.570267 +-0.141864 0.398320 0.649581 0.889210 -0.011829 0.457347 0.517411 0.554637 +-0.161990 0.401702 0.688799 0.889210 -0.011829 0.457347 0.529196 0.573202 +-0.142688 0.328296 0.649372 0.889210 -0.011829 0.457347 0.554254 0.526754 +-0.162211 0.329839 0.681140 0.849244 -0.058538 0.524745 0.566586 0.544054 +-0.142688 0.328296 0.649372 0.849244 -0.058538 0.524745 0.554254 0.526754 +-0.161990 0.401702 0.688799 0.849244 -0.058538 0.524745 0.529196 0.573202 +-0.169900 0.162331 0.585220 0.985495 -0.112458 -0.127092 0.534863 0.396512 +-0.142688 0.328296 0.649372 0.985495 -0.112458 -0.127092 0.564041 0.506108 +-0.166089 0.155459 0.620852 0.985495 -0.112458 -0.127092 0.529008 0.394659 +-0.162211 0.329839 0.681140 0.830730 -0.198307 0.520156 0.582923 0.496370 +-0.166089 0.155459 0.620852 0.830730 -0.198307 0.520156 0.529008 0.394659 +-0.142688 0.328296 0.649372 0.830730 -0.198307 0.520156 0.564041 0.506108 +-0.164135 0.084703 0.553976 0.972402 0.191555 -0.133195 0.503811 0.355308 +-0.168712 0.116333 0.566050 0.972402 0.191555 -0.133195 0.518561 0.370884 +-0.159072 0.082848 0.588271 0.972402 0.191555 -0.133195 0.498434 0.357002 +-0.163027 0.111351 0.600441 0.972403 0.191704 -0.132972 0.511565 0.371131 +-0.159072 0.082848 0.588271 0.972403 0.191704 -0.132972 0.498434 0.357002 +-0.168712 0.116333 0.566050 0.972403 0.191704 -0.132972 0.518561 0.370884 +-0.154307 0.045954 0.520564 0.975567 0.216815 0.035511 0.481771 0.338521 +-0.164135 0.084703 0.553976 0.975567 0.216815 0.035511 0.503811 0.355308 +-0.155436 0.044730 0.559053 0.975567 0.216815 0.035511 0.482429 0.337208 +-0.159072 0.082848 0.588271 0.971830 0.194606 -0.132946 0.498434 0.357002 +-0.155436 0.044730 0.559053 0.971830 0.194606 -0.132946 0.482429 0.337208 +-0.164135 0.084703 0.553976 0.971830 0.194606 -0.132946 0.503811 0.355308 +-0.146152 -0.000566 0.501367 0.984166 0.117913 0.132340 0.396418 0.419757 +-0.154307 0.045954 0.520564 0.984166 0.117913 0.132340 0.481771 0.338521 +-0.153742 -0.000566 0.557811 0.984166 0.117913 0.132340 0.403561 0.415629 +-0.155436 0.044730 0.559053 0.998869 0.036521 0.030461 0.482429 0.337208 +-0.153742 -0.000566 0.557811 0.998869 0.036521 0.030461 0.403561 0.415629 +-0.154307 0.045954 0.520564 0.998869 0.036521 0.030461 0.481771 0.338521 +-0.323680 -0.000566 0.530277 -0.928766 0.119942 0.350725 0.563496 0.323194 +-0.307234 -0.000390 0.573768 -0.928766 0.119942 0.350725 0.548076 0.332240 +-0.312485 0.044161 0.544627 -0.928766 0.119942 0.350725 0.567725 0.354831 +-0.306784 0.041477 0.584437 -0.989826 -0.025053 0.140059 0.561474 0.356398 +-0.312485 0.044161 0.544627 -0.989826 -0.025053 0.140059 0.567725 0.354831 +-0.307234 -0.000390 0.573768 -0.989826 -0.025053 0.140059 0.548076 0.332240 +-0.312485 0.044161 0.544627 -0.900741 0.405255 0.156313 0.567725 0.354831 +-0.306784 0.041477 0.584437 -0.900741 0.405255 0.156313 0.561474 0.356398 +-0.291826 0.081698 0.566355 -0.900741 0.405255 0.156313 0.560673 0.387508 +-0.286406 0.079691 0.610778 -0.909159 0.396024 0.128818 0.554909 0.389310 +-0.291826 0.081698 0.566355 -0.909159 0.396024 0.128818 0.560673 0.387508 +-0.306784 0.041477 0.584437 -0.909159 0.396024 0.128818 0.561474 0.356398 +-0.291826 0.081698 0.566355 -0.973213 0.191386 0.127387 0.560673 0.387508 +-0.286406 0.079691 0.610778 -0.973213 0.191386 0.127387 0.554909 0.389310 +-0.284402 0.112761 0.576404 -0.973213 0.191386 0.127387 0.563941 0.409289 +-0.277154 0.111693 0.615199 -0.950677 0.249362 0.184478 0.556767 0.412620 +-0.284402 0.112761 0.576404 -0.950677 0.249362 0.184478 0.563941 0.409289 +-0.286406 0.079691 0.610778 -0.950677 0.249362 0.184478 0.554909 0.389310 +-0.277107 0.159115 0.594368 -0.965745 0.002777 0.259477 0.540407 0.266145 +-0.268234 0.156155 0.627424 -0.965745 0.002777 0.259477 0.531079 0.269281 +-0.261987 0.326739 0.648849 -0.965745 0.002777 0.259477 0.581513 0.370112 +-0.246793 0.328611 0.681763 -0.907333 -0.019518 0.419960 0.567830 0.379446 +-0.261987 0.326739 0.648849 -0.907333 -0.019518 0.419960 0.581513 0.370112 +-0.268234 0.156155 0.627424 -0.907333 -0.019518 0.419960 0.531079 0.269281 +-0.260287 0.394408 0.642322 -0.950404 0.053430 0.306394 0.599097 0.654160 +-0.261987 0.326739 0.648849 -0.950404 0.053430 0.306394 0.635309 0.627986 +-0.247846 0.398317 0.680231 -0.950404 0.053430 0.306394 0.588703 0.645132 +-0.246793 0.328611 0.681763 -0.907822 -0.004498 0.419331 0.624118 0.615776 +-0.247846 0.398317 0.680231 -0.907822 -0.004498 0.419331 0.588703 0.645132 +-0.261987 0.326739 0.648849 -0.907822 -0.004498 0.419331 0.635309 0.627986 +-0.290254 0.489197 0.638585 -0.825402 -0.240816 0.510607 0.570132 0.718444 +-0.260287 0.394408 0.642322 -0.825402 -0.240816 0.510607 0.599097 0.654160 +-0.265205 0.482234 0.675793 -0.825402 -0.240816 0.510607 0.556892 0.694213 +-0.247846 0.398317 0.680231 -0.929937 -0.175270 0.323260 0.588703 0.645132 +-0.265205 0.482234 0.675793 -0.929937 -0.175270 0.323260 0.556892 0.694213 +-0.260287 0.394408 0.642322 -0.929937 -0.175270 0.323260 0.599097 0.654160 +-0.388560 0.906970 0.573610 -0.957576 -0.137457 0.253285 0.321232 0.248013 +-0.346101 0.684474 0.613384 -0.957576 -0.137457 0.253285 0.261635 0.389871 +-0.362855 0.934781 0.685884 -0.957576 -0.137457 0.253285 0.354413 0.252059 +-0.310846 0.685292 0.688865 -0.890389 -0.180620 0.417832 0.291236 0.414216 +-0.362855 0.934781 0.685884 -0.890389 -0.180620 0.417832 0.354413 0.252059 +-0.346101 0.684474 0.613384 -0.890389 -0.180620 0.417832 0.261635 0.389871 +-0.341636 1.091500 0.537693 -0.970157 0.240079 -0.034019 0.438812 0.188042 +-0.388560 0.906970 0.573610 -0.970157 0.240079 -0.034019 0.321232 0.248013 +-0.343043 1.105304 0.675234 -0.970157 0.240079 -0.034019 0.443527 0.180103 +-0.362855 0.934781 0.685884 -0.973415 0.125079 0.191880 0.354413 0.252059 +-0.343043 1.105304 0.675234 -0.973415 0.125079 0.191880 0.443527 0.180103 +-0.388560 0.906970 0.573610 -0.973415 0.125079 0.191880 0.321232 0.248013 +-0.265205 0.482234 0.675793 -0.851818 -0.319538 0.415093 0.369043 0.568978 +-0.249918 0.477302 0.703367 -0.851818 -0.319538 0.415093 0.383243 0.559754 +-0.290660 0.558843 0.682530 -0.851818 -0.319538 0.415093 0.314006 0.551925 +-0.263180 0.550893 0.713418 -0.756231 -0.220423 0.616059 0.339112 0.534911 +-0.290660 0.558843 0.682530 -0.756231 -0.220423 0.616059 0.314006 0.551925 +-0.249918 0.477302 0.703367 -0.756231 -0.220423 0.616059 0.383243 0.559754 +-0.207105 0.466516 0.724098 0.255182 -0.051653 0.965512 0.525955 0.638186 +-0.172382 0.474482 0.715347 0.255182 -0.051653 0.965512 0.498471 0.611788 +-0.220027 0.542794 0.731594 0.255182 -0.051653 0.965512 0.495118 0.680359 +-0.172011 0.542599 0.723263 0.169371 -0.114678 0.978858 0.462921 0.639279 +-0.220027 0.542794 0.731594 0.169371 -0.114678 0.978858 0.495118 0.680359 +-0.172382 0.474482 0.715347 0.169371 -0.114678 0.978858 0.498471 0.611788 +-0.172382 0.474482 0.715347 0.542017 -0.099920 0.834406 0.498471 0.611788 +-0.133645 0.483091 0.691215 0.542017 -0.099920 0.834406 0.467952 0.582225 +-0.172011 0.542599 0.723263 0.542017 -0.099920 0.834406 0.462921 0.639279 +-0.112848 0.556160 0.705254 0.336390 -0.269134 0.902446 0.416096 0.594296 +-0.172011 0.542599 0.723263 0.336390 -0.269134 0.902446 0.462921 0.639279 +-0.133645 0.483091 0.691215 0.336390 -0.269134 0.902446 0.467952 0.582225 +-0.121016 0.489468 0.612952 0.871293 -0.268600 -0.410734 0.456152 0.574045 +-0.147059 0.487339 0.559099 0.871293 -0.268600 -0.410734 0.474773 0.595414 +-0.104151 0.560450 0.602309 0.871293 -0.268600 -0.410734 0.408023 0.588621 +-0.132622 0.555258 0.539817 0.878878 -0.293567 -0.376021 0.429865 0.610813 +-0.104151 0.560450 0.602309 0.878878 -0.293567 -0.376021 0.408023 0.588621 +-0.147059 0.487339 0.559099 0.878878 -0.293567 -0.376021 0.474773 0.595414 +-0.204691 0.474041 0.525197 -0.349932 -0.465711 -0.812810 0.420054 0.527096 +-0.257957 0.489777 0.539113 -0.349932 -0.465711 -0.812810 0.371240 0.559922 +-0.200296 0.533589 0.489186 -0.349932 -0.465711 -0.812810 0.396154 0.495554 +-0.266554 0.555996 0.508384 -0.382278 -0.429339 -0.818249 0.334135 0.535044 +-0.200296 0.533589 0.489186 -0.382278 -0.429339 -0.818249 0.396154 0.495554 +-0.257957 0.489777 0.539113 -0.382278 -0.429339 -0.818249 0.371240 0.559922 +-0.257957 0.489777 0.539113 -0.708140 -0.370777 -0.600884 0.371240 0.559922 +-0.298894 0.492080 0.585936 -0.708140 -0.370777 -0.600884 0.338219 0.589790 +-0.266554 0.555996 0.508384 -0.708140 -0.370777 -0.600884 0.334135 0.535044 +-0.318289 0.566455 0.563922 -0.714862 -0.363269 -0.597501 0.288939 0.569213 +-0.266554 0.555996 0.508384 -0.714862 -0.363269 -0.597501 0.334135 0.535044 +-0.298894 0.492080 0.585936 -0.714862 -0.363269 -0.597501 0.338219 0.589790 +-0.290254 0.489197 0.638585 -0.830020 -0.196296 0.522048 0.369698 0.540433 +-0.265205 0.482234 0.675793 -0.830020 -0.196296 0.522048 0.362597 0.513749 +-0.311358 0.562152 0.632463 -0.830020 -0.196296 0.522048 0.335401 0.581254 +-0.290660 0.558843 0.682530 -0.881893 -0.323211 0.343219 0.328065 0.559873 +-0.311358 0.562152 0.632463 -0.881893 -0.323211 0.343219 0.335401 0.581254 +-0.265205 0.482234 0.675793 -0.881893 -0.323211 0.343219 0.362597 0.513749 +-0.249918 0.477302 0.703367 -0.467569 -0.201804 0.860613 0.383243 0.559754 +-0.207105 0.466516 0.724098 -0.467569 -0.201804 0.860613 0.421623 0.532488 +-0.263180 0.550893 0.713418 -0.467569 -0.201804 0.860613 0.339112 0.534911 +-0.220027 0.542794 0.731594 -0.408290 -0.157529 0.899157 0.376523 0.506114 +-0.263180 0.550893 0.713418 -0.408290 -0.157529 0.899157 0.339112 0.534911 +-0.207105 0.466516 0.724098 -0.408290 -0.157529 0.899157 0.421623 0.532488 +-0.116559 0.489535 0.653839 0.955418 -0.276448 -0.103695 0.453120 0.570267 +-0.121016 0.489468 0.612952 0.955418 -0.276448 -0.103695 0.456152 0.574045 +-0.095284 0.561410 0.658244 0.955418 -0.276448 -0.103695 0.401561 0.581443 +-0.104151 0.560450 0.602309 0.957084 -0.249505 -0.147438 0.408023 0.588621 +-0.095284 0.561410 0.658244 0.957084 -0.249505 -0.147438 0.401561 0.581443 +-0.121016 0.489468 0.612952 0.957084 -0.249505 -0.147438 0.456152 0.574045 +-0.147059 0.487339 0.559099 0.533978 -0.334014 -0.776725 0.474773 0.595414 +-0.204691 0.474041 0.525197 0.533978 -0.334014 -0.776725 0.520432 0.639196 +-0.132622 0.555258 0.539817 0.533978 -0.334014 -0.776725 0.429865 0.610813 +-0.200296 0.533589 0.489186 0.624292 -0.437469 -0.647209 0.486616 0.659754 +-0.132622 0.555258 0.539817 0.624292 -0.437469 -0.647209 0.429865 0.610813 +-0.204691 0.474041 0.525197 0.624292 -0.437469 -0.647209 0.520432 0.639196 +-0.133645 0.483091 0.691215 0.881826 -0.317908 0.348306 0.467952 0.582225 +-0.116559 0.489535 0.653839 0.881826 -0.317908 0.348306 0.453120 0.570267 +-0.112848 0.556160 0.705254 0.881826 -0.317908 0.348306 0.416096 0.594296 +-0.095284 0.561410 0.658244 0.907319 -0.287375 0.306901 0.401561 0.581443 +-0.112848 0.556160 0.705254 0.907319 -0.287375 0.306901 0.416096 0.594296 +-0.116559 0.489535 0.653839 0.907319 -0.287375 0.306901 0.453120 0.570267 +-0.298894 0.492080 0.585936 -0.966864 -0.208549 0.147248 0.371859 0.549769 +-0.290254 0.489197 0.638585 -0.966864 -0.208549 0.147248 0.369698 0.540433 +-0.318289 0.566455 0.563922 -0.966864 -0.208549 0.147248 0.335939 0.589287 +-0.311358 0.562152 0.632463 -0.959308 -0.270789 0.080007 0.335401 0.581254 +-0.318289 0.566455 0.563922 -0.959308 -0.270789 0.080007 0.335939 0.589287 +-0.290254 0.489197 0.638585 -0.959308 -0.270789 0.080007 0.369698 0.540433 +-0.323680 -0.000566 0.530277 0.017633 -0.999841 -0.002622 0.563496 0.323194 +-0.320365 -0.000390 0.485449 0.017633 -0.999841 -0.002622 0.560434 0.325098 +-0.307234 -0.000390 0.573768 0.017633 -0.999841 -0.002622 0.548076 0.332240 +-0.254878 -0.000566 0.617560 -0.000530 -0.999994 -0.003385 0.498744 0.360618 +-0.307234 -0.000390 0.573768 -0.000530 -0.999994 -0.003385 0.548076 0.332240 +-0.222234 -0.000566 0.612449 -0.000530 -0.999994 -0.003385 0.468021 0.378374 +-0.187262 -0.000566 0.606974 0.000000 -1.000000 0.000000 0.435108 0.397397 +-0.222234 -0.000566 0.612449 0.000000 -1.000000 0.000000 0.468021 0.378374 +-0.153742 -0.000566 0.557811 0.000000 -1.000000 0.000000 0.403561 0.415629 +-0.222234 -0.000566 0.612449 -0.001318 -0.999998 -0.001653 0.468021 0.378374 +-0.307234 -0.000390 0.573768 -0.001318 -0.999998 -0.001653 0.548076 0.332240 +-0.153742 -0.000566 0.557811 -0.001318 -0.999998 -0.001653 0.403561 0.415629 +-0.146152 -0.000566 0.501367 0.000000 -1.000000 0.000000 0.396418 0.419757 +-0.167233 -0.000566 0.459170 0.000000 -1.000000 0.000000 0.416258 0.408291 +-0.220789 -0.000566 0.442452 0.000000 -1.000000 0.000000 0.466661 0.379160 +-0.242179 -0.000566 0.466927 0.000000 -1.000000 0.000000 0.486792 0.367525 +-0.153742 -0.000566 0.557811 -0.001041 -0.999999 0.001013 0.403561 0.415629 +-0.307234 -0.000390 0.573768 -0.001041 -0.999999 0.001013 0.548076 0.332240 +-0.242179 -0.000566 0.466927 -0.001041 -0.999999 0.001013 0.486792 0.367525 +-0.307234 -0.000390 0.573768 -0.002174 -0.999998 0.000323 0.548076 0.332240 +-0.320365 -0.000390 0.485449 -0.002174 -0.999998 0.000323 0.560434 0.325098 +-0.242179 -0.000566 0.466927 -0.002174 -0.999998 0.000323 0.486792 0.367525 +-0.242179 -0.000566 0.466927 -0.001711 -0.999996 0.002278 0.486792 0.367525 +-0.320365 -0.000390 0.485449 -0.001711 -0.999996 0.002278 0.560434 0.325098 +-0.269638 -0.000566 0.446302 -0.001711 -0.999996 0.002278 0.512635 0.352589 +-0.277107 0.159115 0.594368 -0.989287 0.140930 0.038086 0.634698 0.336361 +-0.277643 0.163536 0.564086 -0.989287 0.140930 0.038086 0.636661 0.338595 +-0.284402 0.112761 0.576404 -0.989287 0.140930 0.038086 0.563941 0.409289 +-0.282348 0.119478 0.545361 -0.991695 0.122525 -0.039105 0.564225 0.414242 +-0.284402 0.112761 0.576404 -0.991695 0.122525 -0.039105 0.563941 0.409289 +-0.277643 0.163536 0.564086 -0.991695 0.122525 -0.039105 0.636661 0.338595 +-0.209338 0.151392 0.666894 -0.283693 0.154370 0.946408 0.568368 0.368812 +-0.231067 0.153241 0.660079 -0.283693 0.154370 0.946408 0.589429 0.358048 +-0.208967 0.095824 0.676069 -0.283693 0.154370 0.946408 0.549676 0.337274 +-0.232840 0.096986 0.663758 -0.454346 0.072385 0.887879 0.510206 0.428325 +-0.208967 0.095824 0.676069 -0.454346 0.072385 0.887879 0.549676 0.337274 +-0.231067 0.153241 0.660079 -0.454346 0.072385 0.887879 0.589429 0.358048 +-0.166089 0.155459 0.620852 0.786356 -0.213647 0.579655 0.529008 0.394659 +-0.191454 0.149048 0.652899 0.786356 -0.213647 0.579655 0.550763 0.377201 +-0.163027 0.111351 0.600441 0.786356 -0.213647 0.579655 0.511565 0.371131 +-0.190077 0.095630 0.655760 0.892012 0.047071 0.449555 0.531833 0.347439 +-0.163027 0.111351 0.600441 0.892012 0.047071 0.449555 0.511565 0.371131 +-0.191454 0.149048 0.652899 0.892012 0.047071 0.449555 0.550763 0.377201 +-0.169900 0.162331 0.585220 0.993487 0.064739 -0.093772 0.534863 0.396512 +-0.166089 0.155459 0.620852 0.993487 0.064739 -0.093772 0.529008 0.394659 +-0.168712 0.116333 0.566050 0.993487 0.064739 -0.093772 0.518561 0.370884 +-0.163027 0.111351 0.600441 0.980642 0.134101 -0.142679 0.511565 0.371131 +-0.168712 0.116333 0.566050 0.980642 0.134101 -0.142679 0.518561 0.370884 +-0.166089 0.155459 0.620852 0.980642 0.134101 -0.142679 0.529008 0.394659 +-0.229663 0.171279 0.536460 -0.081804 0.379716 -0.921479 0.594062 0.369115 +-0.210195 0.169644 0.534058 -0.081804 0.379716 -0.921479 0.575200 0.378771 +-0.232231 0.128260 0.518961 -0.081804 0.379716 -0.921479 0.582278 0.343147 +-0.214153 0.127241 0.515186 -0.163673 0.413838 -0.895516 0.564927 0.352398 +-0.232231 0.128260 0.518961 -0.163673 0.413838 -0.895516 0.582278 0.343147 +-0.210195 0.169644 0.534058 -0.163673 0.413838 -0.895516 0.575200 0.378771 +-0.277643 0.163536 0.564086 -0.608546 0.364544 -0.704825 0.636661 0.338595 +-0.249859 0.169297 0.543077 -0.608546 0.364544 -0.704825 0.612415 0.356998 +-0.282348 0.119478 0.545361 -0.608546 0.364544 -0.704825 0.564225 0.414242 +-0.251436 0.128080 0.524118 -0.594576 0.354666 -0.721590 0.537972 0.435970 +-0.282348 0.119478 0.545361 -0.594576 0.354666 -0.721590 0.564225 0.414242 +-0.249859 0.169297 0.543077 -0.594576 0.354666 -0.721590 0.612415 0.356998 +-0.231067 0.153241 0.660079 -0.655328 0.069841 0.752109 0.589429 0.358048 +-0.268234 0.156155 0.627424 -0.655328 0.069841 0.752109 0.625369 0.339497 +-0.232840 0.096986 0.663758 -0.655328 0.069841 0.752109 0.510206 0.428325 +-0.277154 0.111693 0.615199 -0.743398 -0.034516 0.667958 0.556767 0.412620 +-0.232840 0.096986 0.663758 -0.743398 -0.034516 0.667958 0.510206 0.428325 +-0.268234 0.156155 0.627424 -0.743398 -0.034516 0.667958 0.625369 0.339497 +-0.191454 0.149048 0.652899 0.619937 0.057890 0.782513 0.550763 0.377201 +-0.209338 0.151392 0.666894 0.619937 0.057890 0.782513 0.568368 0.368812 +-0.190077 0.095630 0.655760 0.619937 0.057890 0.782513 0.531833 0.347439 +-0.208967 0.095824 0.676069 0.727798 0.116448 0.675833 0.549676 0.337274 +-0.190077 0.095630 0.655760 0.727798 0.116448 0.675833 0.531833 0.347439 +-0.209338 0.151392 0.666894 0.727798 0.116448 0.675833 0.568368 0.368812 +-0.210195 0.169644 0.534058 0.570008 0.289092 -0.769102 0.575200 0.378771 +-0.182677 0.164101 0.552369 0.570008 0.289092 -0.769102 0.547472 0.390572 +-0.214153 0.127241 0.515186 0.570008 0.289092 -0.769102 0.564927 0.352398 +-0.182943 0.120103 0.532746 0.518935 0.345566 -0.781851 0.533198 0.365297 +-0.214153 0.127241 0.515186 0.518935 0.345566 -0.781851 0.564927 0.352398 +-0.182677 0.164101 0.552369 0.518935 0.345566 -0.781851 0.547472 0.390572 +-0.249859 0.169297 0.543077 -0.320277 0.405964 -0.855930 0.612415 0.356998 +-0.229663 0.171279 0.536460 -0.320277 0.405964 -0.855930 0.594062 0.369115 +-0.251436 0.128080 0.524118 -0.320277 0.405964 -0.855930 0.537972 0.435970 +-0.232231 0.128260 0.518961 -0.243409 0.377893 -0.893280 0.582278 0.343147 +-0.251436 0.128080 0.524118 -0.243409 0.377893 -0.893280 0.537972 0.435970 +-0.229663 0.171279 0.536460 -0.243409 0.377893 -0.893280 0.594062 0.369115 +-0.182677 0.164101 0.552369 0.924016 0.151068 -0.351245 0.547472 0.390572 +-0.169900 0.162331 0.585220 0.924016 0.151068 -0.351245 0.534863 0.396512 +-0.182943 0.120103 0.532746 0.924016 0.151068 -0.351245 0.533198 0.365297 +-0.168712 0.116333 0.566050 0.912052 0.177598 -0.369621 0.518561 0.370884 +-0.182943 0.120103 0.532746 0.912052 0.177598 -0.369621 0.533198 0.365297 +-0.169900 0.162331 0.585220 0.912052 0.177598 -0.369621 0.534863 0.396512 +-0.268234 0.156155 0.627424 -0.956317 0.118363 0.267296 0.625369 0.339497 +-0.277107 0.159115 0.594368 -0.956317 0.118363 0.267296 0.634698 0.336361 +-0.277154 0.111693 0.615199 -0.956317 0.118363 0.267296 0.556767 0.412620 +-0.284402 0.112761 0.576404 -0.979243 0.082331 0.185217 0.563941 0.409289 +-0.277154 0.111693 0.615199 -0.979243 0.082331 0.185217 0.556767 0.412620 +-0.277107 0.159115 0.594368 -0.979243 0.082331 0.185217 0.634698 0.336361 +-0.290660 0.558843 0.682530 -0.757551 -0.152730 0.634657 0.314006 0.551925 +-0.263180 0.550893 0.713418 -0.757551 -0.152730 0.634657 0.339112 0.534911 +-0.310846 0.685292 0.688865 -0.757551 -0.152730 0.634657 0.240207 0.507270 +-0.275723 0.676234 0.755235 -0.872659 -0.230887 0.430300 0.271789 0.485001 +-0.310846 0.685292 0.688865 -0.872659 -0.230887 0.430300 0.240207 0.507270 +-0.263180 0.550893 0.713418 -0.872659 -0.230887 0.430300 0.339112 0.534911 +-0.220027 0.542794 0.731594 0.160079 -0.329905 0.930343 0.190179 0.537343 +-0.172011 0.542599 0.723263 0.160079 -0.329905 0.930343 0.242127 0.542405 +-0.228561 0.667726 0.777364 0.160079 -0.329905 0.930343 0.188736 0.454416 +-0.174726 0.655484 0.772485 -0.007857 -0.399839 0.916552 0.246230 0.467988 +-0.228561 0.667726 0.777364 -0.007857 -0.399839 0.916552 0.188736 0.454416 +-0.172011 0.542599 0.723263 -0.007857 -0.399839 0.916552 0.242127 0.542405 +-0.172011 0.542599 0.723263 0.346931 -0.367844 0.862745 0.242127 0.542405 +-0.112848 0.556160 0.705254 0.346931 -0.367844 0.862745 0.306997 0.539578 +-0.174726 0.655484 0.772485 0.346931 -0.367844 0.862745 0.246230 0.467988 +-0.098672 0.649914 0.741881 0.319832 -0.386341 0.865129 0.328184 0.479461 +-0.174726 0.655484 0.772485 0.319832 -0.386341 0.865129 0.246230 0.467988 +-0.112848 0.556160 0.705254 0.319832 -0.386341 0.865129 0.306997 0.539578 +-0.104151 0.560450 0.602309 0.851687 -0.384497 -0.356078 0.408023 0.588621 +-0.132622 0.555258 0.539817 0.851687 -0.384497 -0.356078 0.429865 0.610813 +-0.070740 0.644639 0.591315 0.851687 -0.384497 -0.356078 0.341920 0.594462 +-0.116679 0.650594 0.512235 0.820442 -0.281218 -0.497786 0.369735 0.636120 +-0.070740 0.644639 0.591315 0.820442 -0.281218 -0.497786 0.341920 0.594462 +-0.132622 0.555258 0.539817 0.820442 -0.281218 -0.497786 0.429865 0.610813 +-0.200296 0.533589 0.489186 -0.371833 -0.370114 -0.851326 0.396154 0.495554 +-0.266554 0.555996 0.508384 -0.371833 -0.370114 -0.851326 0.334135 0.535044 +-0.196093 0.612980 0.452835 -0.371833 -0.370114 -0.851326 0.362997 0.454754 +-0.291123 0.647226 0.470982 -0.316818 -0.431589 -0.844605 0.273079 0.510393 +-0.196093 0.612980 0.452835 -0.316818 -0.431589 -0.844605 0.362997 0.454754 +-0.266554 0.555996 0.508384 -0.316818 -0.431589 -0.844605 0.334135 0.535044 +-0.266554 0.555996 0.508384 -0.701162 -0.423877 -0.573324 0.334135 0.535044 +-0.318289 0.566455 0.563922 -0.701162 -0.423877 -0.573324 0.288939 0.569213 +-0.291123 0.647226 0.470982 -0.701162 -0.423877 -0.573324 0.273079 0.510393 +-0.343117 0.669788 0.533016 -0.777431 -0.344237 -0.526405 0.222126 0.539023 +-0.291123 0.647226 0.470982 -0.777431 -0.344237 -0.526405 0.273079 0.510393 +-0.318289 0.566455 0.563922 -0.777431 -0.344237 -0.526405 0.288939 0.569213 +-0.311358 0.562152 0.632463 -0.909765 -0.201818 0.362764 0.296326 0.566010 +-0.290660 0.558843 0.682530 -0.909765 -0.201818 0.362764 0.314006 0.551925 +-0.346101 0.684474 0.613384 -0.909765 -0.201818 0.362764 0.213055 0.534320 +-0.310846 0.685292 0.688865 -0.893159 -0.163570 0.418941 0.240207 0.507270 +-0.346101 0.684474 0.613384 -0.893159 -0.163570 0.418941 0.213055 0.534320 +-0.290660 0.558843 0.682530 -0.893159 -0.163570 0.418941 0.314006 0.551925 +-0.263180 0.550893 0.713418 -0.418253 -0.324854 0.848253 0.339112 0.534911 +-0.220027 0.542794 0.731594 -0.418253 -0.324854 0.848253 0.376523 0.506114 +-0.275723 0.676234 0.755235 -0.418253 -0.324854 0.848253 0.271789 0.485001 +-0.228561 0.667726 0.777364 -0.449092 -0.334246 0.828611 0.312519 0.453366 +-0.275723 0.676234 0.755235 -0.449092 -0.334246 0.828611 0.271789 0.485001 +-0.220027 0.542794 0.731594 -0.449092 -0.334246 0.828611 0.376523 0.506114 +-0.095284 0.561410 0.658244 0.949508 -0.277834 -0.145751 0.401561 0.581443 +-0.104151 0.560450 0.602309 0.949508 -0.277834 -0.145751 0.408023 0.588621 +-0.068726 0.647439 0.667268 0.949508 -0.277834 -0.145751 0.339114 0.593885 +-0.070740 0.644639 0.591315 0.928932 -0.370088 -0.010989 0.341920 0.594462 +-0.068726 0.647439 0.667268 0.928932 -0.370088 -0.010989 0.339114 0.593885 +-0.104151 0.560450 0.602309 0.928932 -0.370088 -0.010989 0.408023 0.588621 +-0.132622 0.555258 0.539817 0.631186 -0.311111 -0.710503 0.285542 0.538138 +-0.200296 0.533589 0.489186 0.631186 -0.311111 -0.710503 0.210957 0.545415 +-0.116679 0.650594 0.512235 0.631186 -0.311111 -0.710503 0.308739 0.477164 +-0.196093 0.612980 0.452835 0.661276 -0.340951 -0.668182 0.220456 0.493707 +-0.116679 0.650594 0.512235 0.661276 -0.340951 -0.668182 0.308739 0.477164 +-0.200296 0.533589 0.489186 0.661276 -0.340951 -0.668182 0.210957 0.545415 +-0.112848 0.556160 0.705254 0.913662 -0.260160 0.312310 0.416096 0.594296 +-0.095284 0.561410 0.658244 0.913662 -0.260160 0.312310 0.401561 0.581443 +-0.098672 0.649914 0.741881 0.913662 -0.260160 0.312310 0.357975 0.620466 +-0.068726 0.647439 0.667268 0.878912 -0.309407 0.363016 0.339114 0.593885 +-0.098672 0.649914 0.741881 0.878912 -0.309407 0.363016 0.357975 0.620466 +-0.095284 0.561410 0.658244 0.878912 -0.309407 0.363016 0.401561 0.581443 +-0.318289 0.566455 0.563922 -0.974276 -0.208540 0.085429 0.335939 0.589287 +-0.311358 0.562152 0.632463 -0.974276 -0.208540 0.085429 0.335401 0.581254 +-0.343117 0.669788 0.533016 -0.974276 -0.208540 0.085429 0.285080 0.642097 +-0.346101 0.684474 0.613384 -0.962424 -0.271200 0.013824 0.277606 0.649064 +-0.343117 0.669788 0.533016 -0.962424 -0.271200 0.013824 0.285080 0.642097 +-0.311358 0.562152 0.632463 -0.962424 -0.271200 0.013824 0.335401 0.581254 +-0.316567 1.177092 0.674269 -0.858447 0.509673 -0.057466 0.447546 0.190466 +-0.284059 1.231316 0.669572 -0.858447 0.509673 -0.057466 0.496342 0.202601 +-0.314782 1.163291 0.525202 -0.858447 0.509673 -0.057466 0.440706 0.196781 +-0.276877 1.223775 0.518283 -0.848882 0.524390 -0.066436 0.496047 0.211854 +-0.314782 1.163291 0.525202 -0.848882 0.524390 -0.066436 0.440706 0.196781 +-0.284059 1.231316 0.669572 -0.848882 0.524390 -0.066436 0.496342 0.202601 +-0.328173 1.060432 0.316278 -0.902669 0.406190 -0.142122 0.374921 0.218890 +-0.314782 1.163291 0.525202 -0.902669 0.406190 -0.142122 0.440706 0.196781 +-0.284178 1.157604 0.314571 -0.902669 0.406190 -0.142122 0.454456 0.227305 +-0.276877 1.223775 0.518283 -0.846348 0.514744 -0.136870 0.496047 0.211854 +-0.284178 1.157604 0.314571 -0.846348 0.514744 -0.136870 0.454456 0.227305 +-0.314782 1.163291 0.525202 -0.846348 0.514744 -0.136870 0.440706 0.196781 +-0.328173 1.060432 0.316278 -0.966075 0.244407 0.083456 0.461090 0.305844 +-0.360061 0.937631 0.306779 -0.966075 0.244407 0.083456 0.399050 0.243269 +-0.332474 1.013368 0.404321 -0.966075 0.244407 0.083456 0.434076 0.289840 +-0.316567 1.177092 0.674269 -0.784850 0.502000 0.363326 0.447546 0.190466 +-0.279601 1.158522 0.779780 -0.784850 0.502000 0.363326 0.457515 0.231275 +-0.284059 1.231316 0.669572 -0.784850 0.502000 0.363326 0.496342 0.202601 +-0.234621 1.231194 0.787648 -0.815204 0.467560 0.341806 0.523696 0.248859 +-0.284059 1.231316 0.669572 -0.815204 0.467560 0.341806 0.496342 0.202601 +-0.279601 1.158522 0.779780 -0.815204 0.467560 0.341806 0.457515 0.231275 +-0.115223 1.200244 0.870956 -0.469204 0.360202 0.806289 0.572366 0.370894 +-0.234621 1.231194 0.787648 -0.469204 0.360202 0.806289 0.523696 0.248859 +-0.203523 1.130556 0.850704 -0.469204 0.360202 0.806289 0.483849 0.311809 +-0.279601 1.158522 0.779780 -0.594729 0.286792 0.751032 0.457515 0.231275 +-0.203523 1.130556 0.850704 -0.594729 0.286792 0.751032 0.483849 0.311809 +-0.234621 1.231194 0.787648 -0.594729 0.286792 0.751032 0.523696 0.248859 +-0.337829 0.803507 0.315369 -0.766073 -0.086188 0.636949 0.319230 0.335739 +-0.303637 0.823789 0.359237 -0.766073 -0.086188 0.636949 0.356243 0.349537 +-0.360061 0.937631 0.306779 -0.766073 -0.086188 0.636949 0.357946 0.252587 +-0.332474 1.013368 0.404321 -0.872313 -0.234695 0.428939 0.413114 0.233821 +-0.360061 0.937631 0.306779 -0.872313 -0.234695 0.428939 0.357946 0.252587 +-0.303637 0.823789 0.359237 -0.872313 -0.234695 0.428939 0.356243 0.349537 +-0.112552 1.004645 0.899531 -0.252960 0.185456 0.949535 0.462875 0.439238 +-0.055367 1.060557 0.903845 -0.252960 0.185456 0.949535 0.526317 0.473875 +-0.203523 1.130556 0.850704 -0.252960 0.185456 0.949535 0.483849 0.311809 +-0.115223 1.200244 0.870956 -0.294909 0.097435 0.950545 0.572366 0.370894 +-0.203523 1.130556 0.850704 -0.294909 0.097435 0.950545 0.483849 0.311809 +-0.055367 1.060557 0.903845 -0.294909 0.097435 0.950545 0.526317 0.473875 +-0.059104 0.828836 0.807325 0.366810 -0.342189 0.865076 0.435753 0.452835 +-0.020074 0.859710 0.802988 0.366810 -0.342189 0.865076 0.478179 0.432467 +-0.112552 1.004645 0.899531 0.366810 -0.342189 0.865076 0.377654 0.336852 +-0.055367 1.060557 0.903845 0.308744 -0.382950 0.870647 0.439815 0.299967 +-0.112552 1.004645 0.899531 0.308744 -0.382950 0.870647 0.377654 0.336852 +-0.020074 0.859710 0.802988 0.308744 -0.382950 0.870647 0.478179 0.432467 +-0.025789 0.748559 0.687817 0.474231 -0.663934 0.578184 0.424027 0.505578 +-0.008275 0.762612 0.689589 0.474231 -0.663934 0.578184 0.420241 0.484744 +-0.059104 0.828836 0.807325 0.474231 -0.663934 0.578184 0.363258 0.526150 +-0.020074 0.859710 0.802988 0.545074 -0.607972 0.577291 0.355100 0.479801 +-0.059104 0.828836 0.807325 0.545074 -0.607972 0.577291 0.363258 0.526150 +-0.008275 0.762612 0.689589 0.545074 -0.607972 0.577291 0.420241 0.484744 +-0.022530 0.720376 0.582900 0.189030 -0.946865 0.260220 0.442886 0.507187 +-0.009831 0.722762 0.582357 0.189030 -0.946865 0.260220 0.445097 0.493470 +-0.025789 0.748559 0.687817 0.189030 -0.946865 0.260220 0.424027 0.505578 +-0.008275 0.762612 0.689589 0.584581 -0.763251 0.275160 0.420241 0.484744 +-0.025789 0.748559 0.687817 0.584581 -0.763251 0.275160 0.424027 0.505578 +-0.009831 0.722762 0.582357 0.584581 -0.763251 0.275160 0.445097 0.493470 +-0.073671 0.696580 0.464847 -0.485556 -0.792046 0.369998 0.442993 0.564952 +-0.042466 0.676207 0.462186 -0.485556 -0.792046 0.369998 0.465092 0.535920 +-0.022530 0.720376 0.582900 -0.485556 -0.792046 0.369998 0.442886 0.507187 +-0.009831 0.722762 0.582357 0.188348 -0.931931 0.309886 0.445097 0.493470 +-0.022530 0.720376 0.582900 0.188348 -0.931931 0.309886 0.442886 0.507187 +-0.042466 0.676207 0.462186 0.188348 -0.931931 0.309886 0.465092 0.535920 +-0.219224 0.687039 0.341114 -0.541325 -0.364518 0.757690 0.223510 0.446440 +-0.042466 0.676207 0.462186 -0.541325 -0.364518 0.757690 0.315412 0.615325 +-0.193934 0.718043 0.374098 -0.541325 -0.364518 0.757690 0.255129 0.459645 +-0.073671 0.696580 0.464847 -0.465885 -0.770430 0.435188 0.309661 0.579295 +-0.193934 0.718043 0.374098 -0.465885 -0.770430 0.435188 0.255129 0.459645 +-0.042466 0.676207 0.462186 -0.465885 -0.770430 0.435188 0.315412 0.615325 +-0.219224 0.687039 0.341114 -0.532143 -0.374006 0.759568 0.455403 0.396975 +-0.193934 0.718043 0.374098 -0.532143 -0.374006 0.759568 0.477806 0.371048 +-0.337829 0.803507 0.315369 -0.532143 -0.374006 0.759568 0.312886 0.349922 +-0.303637 0.823789 0.359237 -0.562825 -0.490374 0.665403 0.346267 0.328802 +-0.337829 0.803507 0.315369 -0.562825 -0.490374 0.665403 0.312886 0.349922 +-0.193934 0.718043 0.374098 -0.562825 -0.490374 0.665403 0.477806 0.371048 +-0.203523 1.130556 0.850704 -0.365040 0.095387 0.926092 0.483849 0.311809 +-0.251929 1.034970 0.841469 -0.365040 0.095387 0.926092 0.402767 0.298736 +-0.112552 1.004645 0.899531 -0.365040 0.095387 0.926092 0.462875 0.439238 +-0.172004 0.926179 0.879637 -0.374912 0.049352 0.925746 0.385379 0.410077 +-0.112552 1.004645 0.899531 -0.374912 0.049352 0.925746 0.462875 0.439238 +-0.251929 1.034970 0.841469 -0.374912 0.049352 0.925746 0.402767 0.298736 +-0.112552 1.004645 0.899531 0.226905 -0.397358 0.889169 0.377654 0.336852 +-0.172004 0.926179 0.879637 0.226905 -0.397358 0.889169 0.313030 0.388617 +-0.059104 0.828836 0.807325 0.226905 -0.397358 0.889169 0.435753 0.452835 +-0.087118 0.767209 0.775469 0.120160 -0.498427 0.858564 0.405302 0.493491 +-0.059104 0.828836 0.807325 0.120160 -0.498427 0.858564 0.435753 0.452835 +-0.172004 0.926179 0.879637 0.120160 -0.498427 0.858564 0.313030 0.388617 +-0.059104 0.828836 0.807325 0.615244 -0.564255 0.550537 0.363258 0.526150 +-0.087118 0.767209 0.775469 0.615244 -0.564255 0.550537 0.394183 0.566447 +-0.025789 0.748559 0.687817 0.615244 -0.564255 0.550537 0.424027 0.505578 +-0.037486 0.731377 0.686148 0.655378 -0.501060 0.565171 0.431509 0.520882 +-0.025789 0.748559 0.687817 0.655378 -0.501060 0.565171 0.424027 0.505578 +-0.087118 0.767209 0.775469 0.655378 -0.501060 0.565171 0.394183 0.566447 +-0.025789 0.748559 0.687817 0.805507 -0.565553 0.176941 0.424027 0.505578 +-0.037486 0.731377 0.686148 0.805507 -0.565553 0.176941 0.431509 0.520882 +-0.022530 0.720376 0.582900 0.805507 -0.565553 0.176941 0.442886 0.507187 +-0.030152 0.713972 0.581907 0.620575 -0.765180 0.171423 0.444717 0.516305 +-0.022530 0.720376 0.582900 0.620575 -0.765180 0.171423 0.442886 0.507187 +-0.037486 0.731377 0.686148 0.620575 -0.765180 0.171423 0.431509 0.520882 +-0.022530 0.720376 0.582900 0.647705 -0.750850 -0.129239 0.442886 0.507187 +-0.030152 0.713972 0.581907 0.647705 -0.750850 -0.129239 0.444717 0.516305 +-0.073671 0.696580 0.464847 0.647705 -0.750850 -0.129239 0.442993 0.564952 +-0.091850 0.699313 0.479491 -0.023298 -0.987579 0.155389 0.435923 0.583491 +-0.073671 0.696580 0.464847 -0.023298 -0.987579 0.155389 0.442993 0.564952 +-0.030152 0.713972 0.581907 -0.023298 -0.987579 0.155389 0.444717 0.516305 +-0.193934 0.718043 0.374098 0.147135 -0.901009 -0.408085 0.255129 0.459645 +-0.073671 0.696580 0.464847 0.147135 -0.901009 -0.408085 0.309661 0.579295 +-0.194984 0.710710 0.389910 0.147135 -0.901009 -0.408085 0.250386 0.461131 +-0.091850 0.699313 0.479491 -0.130022 -0.991231 0.023583 0.301128 0.561381 +-0.194984 0.710710 0.389910 -0.130022 -0.991231 0.023583 0.250386 0.461131 +-0.073671 0.696580 0.464847 -0.130022 -0.991231 0.023583 0.309661 0.579295 +-0.193934 0.718043 0.374098 -0.620551 -0.694850 -0.363455 0.477806 0.371048 +-0.194984 0.710710 0.389910 -0.620551 -0.694850 -0.363455 0.477740 0.376018 +-0.303637 0.823789 0.359237 -0.620551 -0.694850 -0.363455 0.346267 0.328802 +-0.316694 0.826608 0.395121 -0.681039 -0.706545 -0.192302 0.332009 0.330063 +-0.303637 0.823789 0.359237 -0.681039 -0.706545 -0.192302 0.346267 0.328802 +-0.194984 0.710710 0.389910 -0.681039 -0.706545 -0.192302 0.477740 0.376018 +-0.303637 0.823789 0.359237 -0.939445 -0.062781 -0.336901 0.356243 0.349537 +-0.316694 0.826608 0.395121 -0.939445 -0.062781 -0.336901 0.346612 0.338948 +-0.332474 1.013368 0.404321 -0.939445 -0.062781 -0.336901 0.413114 0.233821 +-0.346506 0.970240 0.444275 -0.920367 -0.058720 -0.386621 0.383090 0.245684 +-0.332474 1.013368 0.404321 -0.920367 -0.058720 -0.386621 0.413114 0.233821 +-0.316694 0.826608 0.395121 -0.920367 -0.058720 -0.386621 0.346612 0.338948 +-0.341636 1.091500 0.537693 -0.972649 0.165008 -0.163481 0.485584 0.299988 +-0.332474 1.013368 0.404321 -0.972649 0.165008 -0.163481 0.434076 0.289840 +-0.346506 0.970240 0.444275 -0.972649 0.165008 -0.163481 0.413446 0.265009 +-0.314782 1.163291 0.525202 -0.938185 0.343449 -0.043032 0.440706 0.196781 +-0.341636 1.091500 0.537693 -0.938185 0.343449 -0.043032 0.385080 0.195845 +-0.316567 1.177092 0.674269 -0.938185 0.343449 -0.043032 0.447546 0.190466 +-0.343043 1.105304 0.675234 -0.937500 0.345163 -0.044232 0.392131 0.189883 +-0.316567 1.177092 0.674269 -0.937500 0.345163 -0.044232 0.447546 0.190466 +-0.341636 1.091500 0.537693 -0.937500 0.345163 -0.044232 0.385080 0.195845 +-0.279601 1.158522 0.779780 -0.863136 0.350000 0.364002 0.457515 0.231275 +-0.316567 1.177092 0.674269 -0.863136 0.350000 0.364002 0.447546 0.190466 +-0.315812 1.086902 0.762780 -0.863136 0.350000 0.364002 0.396796 0.221534 +-0.343043 1.105304 0.675234 -0.879853 0.329106 0.342854 0.392131 0.189883 +-0.315812 1.086902 0.762780 -0.879853 0.329106 0.342854 0.396796 0.221534 +-0.316567 1.177092 0.674269 -0.879853 0.329106 0.342854 0.447546 0.190466 +-0.203523 1.130556 0.850704 -0.613973 0.238219 0.752522 0.483849 0.311809 +-0.279601 1.158522 0.779780 -0.613973 0.238219 0.752522 0.457515 0.231275 +-0.251929 1.034970 0.841469 -0.613973 0.238219 0.752522 0.402767 0.298736 +-0.315812 1.086902 0.762780 -0.697746 0.188754 0.691030 0.396796 0.221534 +-0.251929 1.034970 0.841469 -0.697746 0.188754 0.691030 0.402767 0.298736 +-0.279601 1.158522 0.779780 -0.697746 0.188754 0.691030 0.457515 0.231275 +-0.328173 1.060432 0.316278 -0.993957 0.109324 0.009884 0.461090 0.305844 +-0.332474 1.013368 0.404321 -0.993957 0.109324 0.009884 0.434076 0.289840 +-0.314782 1.163291 0.525202 -0.993957 0.109324 0.009884 0.518497 0.344842 +-0.341636 1.091500 0.537693 -0.922056 0.302998 -0.240843 0.485584 0.299988 +-0.314782 1.163291 0.525202 -0.922056 0.302998 -0.240843 0.518497 0.344842 +-0.332474 1.013368 0.404321 -0.922056 0.302998 -0.240843 0.434076 0.289840 +-0.318454 0.149689 -0.607310 -0.995327 0.013245 -0.095648 0.608179 0.411859 +-0.321219 0.146115 -0.579032 -0.995327 0.013245 -0.095648 0.609601 0.408314 +-0.320785 0.245758 -0.569750 -0.995327 0.013245 -0.095648 0.642086 0.465463 +-0.325592 0.241358 -0.544287 -0.983084 0.021229 -0.181923 0.645158 0.460335 +-0.320785 0.245758 -0.569750 -0.983084 0.021229 -0.181923 0.642086 0.465463 +-0.321219 0.146115 -0.579032 -0.983084 0.021229 -0.181923 0.609601 0.408314 +-0.303818 0.141994 -0.553183 -0.467488 -0.300502 0.831357 0.591864 0.415425 +-0.279028 0.138857 -0.540377 -0.467488 -0.300502 0.831357 0.567497 0.427117 +-0.314774 0.238126 -0.524596 -0.467488 -0.300502 0.831357 0.633909 0.464374 +-0.281356 0.237638 -0.506819 -0.451898 -0.296478 0.841361 0.664618 0.378900 +-0.314774 0.238126 -0.524596 -0.451898 -0.296478 0.841361 0.633909 0.464374 +-0.279028 0.138857 -0.540377 -0.451898 -0.296478 0.841361 0.567497 0.427117 +-0.249190 0.142483 -0.549680 0.925400 -0.066122 0.373178 0.602933 0.342046 +-0.229231 0.149052 -0.598010 0.925400 -0.066122 0.373178 0.586318 0.356654 +-0.251681 0.238647 -0.526464 0.925400 -0.066122 0.373178 0.637022 0.395618 +-0.227821 0.242999 -0.552386 0.724935 -0.309681 0.615277 0.616004 0.411082 +-0.251681 0.238647 -0.526464 0.724935 -0.309681 0.615277 0.637022 0.395618 +-0.229231 0.149052 -0.598010 0.724935 -0.309681 0.615277 0.586318 0.356654 +-0.256660 0.154840 -0.650004 0.173936 0.214587 -0.961092 0.614043 0.345041 +-0.273842 0.155062 -0.653064 0.173936 0.214587 -0.961092 0.630286 0.335822 +-0.258925 0.262389 -0.626401 0.173936 0.214587 -0.961092 0.651678 0.405239 +-0.276371 0.261753 -0.627443 0.049447 0.234326 -0.970900 0.667887 0.395386 +-0.258925 0.262389 -0.626401 0.049447 0.234326 -0.970900 0.651678 0.405239 +-0.273842 0.155062 -0.653064 0.049447 0.234326 -0.970900 0.630286 0.335822 +-0.276371 0.261753 -0.627443 -0.544749 0.183585 -0.818258 0.667887 0.395386 +-0.273842 0.155062 -0.653064 -0.544749 0.183585 -0.818258 0.630286 0.335822 +-0.302528 0.254364 -0.611687 -0.544749 0.183585 -0.818258 0.690065 0.376938 +-0.294872 0.153510 -0.646012 -0.323651 0.282742 -0.902943 0.587246 0.426868 +-0.302528 0.254364 -0.611687 -0.323651 0.282742 -0.902943 0.690065 0.376938 +-0.273842 0.155062 -0.653064 -0.323651 0.282742 -0.902943 0.630286 0.335822 +-0.302528 0.254364 -0.611687 -0.799519 0.138243 -0.584515 0.690065 0.376938 +-0.294872 0.153510 -0.646012 -0.799519 0.138243 -0.584515 0.587246 0.426868 +-0.316683 0.250336 -0.593278 -0.799519 0.138243 -0.584515 0.702057 0.366937 +-0.309583 0.151638 -0.628690 -0.760083 0.170323 -0.627107 0.600473 0.417797 +-0.316683 0.250336 -0.593278 -0.760083 0.170323 -0.627107 0.702057 0.366937 +-0.294872 0.153510 -0.646012 -0.760083 0.170323 -0.627107 0.587246 0.426868 +-0.459976 0.814650 -0.598947 -0.984157 0.118429 0.131945 0.222630 0.244351 +-0.449057 0.787950 -0.493539 -0.984157 0.118429 0.131945 0.220311 0.265464 +-0.441108 0.978452 -0.605236 -0.984157 0.118429 0.131945 0.308097 0.175116 +-0.445104 0.928435 -0.474404 -0.999353 0.030680 -0.018794 0.283463 0.197496 +-0.441108 0.978452 -0.605236 -0.999353 0.030680 -0.018794 0.308097 0.175116 +-0.449057 0.787950 -0.493539 -0.999353 0.030680 -0.018794 0.220311 0.265464 +-0.396773 0.803304 -0.408556 -0.598110 -0.058037 0.799310 0.250366 0.363945 +-0.405733 0.714452 -0.421712 -0.598110 -0.058037 0.799310 0.253568 0.423279 +-0.338005 0.651199 -0.375625 -0.598110 -0.058037 0.799310 0.334485 0.448053 +-0.323346 0.595645 -0.382968 -0.702032 -0.272226 0.658061 0.357987 0.480375 +-0.338005 0.651199 -0.375625 -0.702032 -0.272226 0.658061 0.334485 0.448053 +-0.405733 0.714452 -0.421712 -0.702032 -0.272226 0.658061 0.253568 0.423279 +-0.186971 0.537279 -0.445619 0.688903 -0.361707 0.628157 0.475741 0.649882 +-0.210664 0.501884 -0.440016 0.688903 -0.361707 0.628157 0.510021 0.655663 +-0.131915 0.497689 -0.528796 0.688903 -0.361707 0.628157 0.459223 0.586707 +-0.148618 0.462029 -0.528786 0.699168 -0.327309 0.635636 0.488938 0.586412 +-0.131915 0.497689 -0.528796 0.699168 -0.327309 0.635636 0.459223 0.586707 +-0.210664 0.501884 -0.440016 0.699168 -0.327309 0.635636 0.510021 0.655663 +-0.229238 0.513438 -0.751868 -0.450446 -0.532747 -0.716435 0.382805 0.526991 +-0.294151 0.616429 -0.787640 -0.450446 -0.532747 -0.716435 0.284850 0.527276 +-0.188531 0.548481 -0.803520 -0.450446 -0.532747 -0.716435 0.398505 0.479599 +-0.271029 0.649493 -0.828348 -0.456689 -0.545682 -0.702614 0.287728 0.494122 +-0.188531 0.548481 -0.803520 -0.456689 -0.545682 -0.702614 0.398505 0.479599 +-0.294151 0.616429 -0.787640 -0.456689 -0.545682 -0.702614 0.284850 0.527276 +-0.327169 0.782242 -0.847824 -0.824154 -0.082256 -0.560360 0.319011 0.353933 +-0.368785 0.725018 -0.778217 -0.824154 -0.082256 -0.560360 0.260093 0.353525 +-0.421764 0.935026 -0.731125 -0.824154 -0.082256 -0.560360 0.305639 0.210568 +-0.430026 0.805969 -0.707082 -0.790598 -0.062861 -0.609100 0.243780 0.269755 +-0.421764 0.935026 -0.731125 -0.790598 -0.062861 -0.609100 0.305639 0.210568 +-0.368785 0.725018 -0.778217 -0.790598 -0.062861 -0.609100 0.260093 0.353525 +-0.376532 0.385658 -0.549829 -0.955732 -0.250307 -0.154671 0.470725 0.597484 +-0.383499 0.385173 -0.505994 -0.955732 -0.250307 -0.154671 0.474154 0.604245 +-0.402735 0.492227 -0.560380 -0.955732 -0.250307 -0.154671 0.418542 0.652538 +-0.405876 0.495396 -0.495740 -0.979983 -0.195413 -0.038040 0.418054 0.656512 +-0.402735 0.492227 -0.560380 -0.979983 -0.195413 -0.038040 0.418542 0.652538 +-0.383499 0.385173 -0.505994 -0.979983 -0.195413 -0.038040 0.474154 0.604245 +-0.336212 0.375617 -0.447832 -0.560538 -0.383950 0.733743 0.659907 0.711320 +-0.287657 0.357903 -0.420008 -0.560538 -0.383950 0.733743 0.636426 0.662628 +-0.357320 0.465251 -0.417054 -0.560538 -0.383950 0.733743 0.627655 0.765936 +-0.306654 0.449769 -0.389007 -0.533856 -0.367401 0.761587 0.601596 0.716352 +-0.357320 0.465251 -0.417054 -0.533856 -0.367401 0.761587 0.627655 0.765936 +-0.287657 0.357903 -0.420008 -0.533856 -0.367401 0.761587 0.636426 0.662628 +-0.178825 0.378250 -0.521027 0.759838 -0.521715 0.387892 0.552674 0.578004 +-0.165710 0.397867 -0.520333 0.759838 -0.521715 0.387892 0.533686 0.574814 +-0.224163 0.371038 -0.441915 0.759838 -0.521715 0.387892 0.586909 0.613773 +-0.219295 0.413224 -0.435004 0.817201 -0.183790 0.546264 0.561772 0.626839 +-0.224163 0.371038 -0.441915 0.817201 -0.183790 0.546264 0.586909 0.613773 +-0.165710 0.397867 -0.520333 0.817201 -0.183790 0.546264 0.533686 0.574814 +-0.245371 0.378741 -0.672412 -0.302426 -0.359302 -0.882859 0.597182 0.635027 +-0.276524 0.379310 -0.661972 -0.302426 -0.359302 -0.882859 0.617843 0.661860 +-0.236832 0.429808 -0.696120 -0.302426 -0.359302 -0.882859 0.564974 0.648583 +-0.286957 0.438026 -0.682616 -0.297427 -0.363279 -0.882930 0.594433 0.694740 +-0.236832 0.429808 -0.696120 -0.297427 -0.363279 -0.882930 0.564974 0.648583 +-0.276524 0.379310 -0.661972 -0.297427 -0.363279 -0.882930 0.617843 0.661860 +-0.276524 0.379310 -0.661972 -0.504116 -0.364802 -0.782807 0.617843 0.661860 +-0.332847 0.381643 -0.626788 -0.504116 -0.364802 -0.782807 0.654520 0.710906 +-0.286957 0.438026 -0.682616 -0.504116 -0.364802 -0.782807 0.594433 0.694740 +-0.347038 0.457320 -0.652398 -0.508891 -0.360039 -0.781922 0.624849 0.753919 +-0.286957 0.438026 -0.682616 -0.508891 -0.360039 -0.781922 0.594433 0.694740 +-0.332847 0.381643 -0.626788 -0.508891 -0.360039 -0.781922 0.654520 0.710906 +-0.332847 0.381643 -0.626788 -0.708457 -0.341806 -0.617460 0.654520 0.710906 +-0.367801 0.383197 -0.587543 -0.708457 -0.341806 -0.617460 0.677227 0.741388 +-0.347038 0.457320 -0.652398 -0.708457 -0.341806 -0.617460 0.624849 0.753919 +-0.387067 0.479440 -0.602420 -0.806748 -0.244638 -0.537875 0.640311 0.797129 +-0.347038 0.457320 -0.652398 -0.806748 -0.244638 -0.537875 0.624849 0.753919 +-0.367801 0.383197 -0.587543 -0.806748 -0.244638 -0.537875 0.677227 0.741388 +-0.405876 0.495396 -0.495740 -0.989308 -0.139894 -0.041215 0.418054 0.656512 +-0.427755 0.650739 -0.497838 -0.989308 -0.139894 -0.041215 0.334640 0.720623 +-0.402735 0.492227 -0.560380 -0.989308 -0.139894 -0.041215 0.418542 0.652538 +-0.436833 0.660827 -0.575138 -0.977676 -0.189846 0.090041 0.332672 0.732360 +-0.402735 0.492227 -0.560380 -0.977676 -0.189846 0.090041 0.418542 0.652538 +-0.427755 0.650739 -0.497838 -0.977676 -0.189846 0.090041 0.334640 0.720623 +-0.306654 0.449769 -0.389007 -0.511117 -0.134883 0.848861 0.400758 0.545879 +-0.325815 0.553484 -0.384064 -0.511117 -0.134883 0.848861 0.347117 0.593187 +-0.357320 0.465251 -0.417054 -0.511117 -0.134883 0.848861 0.414284 0.600236 +-0.391453 0.607499 -0.418047 -0.533801 -0.122247 0.836727 0.344250 0.672888 +-0.357320 0.465251 -0.417054 -0.533801 -0.122247 0.836727 0.414284 0.600236 +-0.325815 0.553484 -0.384064 -0.533801 -0.122247 0.836727 0.347117 0.593187 +-0.153661 0.447830 -0.526172 0.775695 -0.163269 0.609623 0.499689 0.584922 +-0.148618 0.462029 -0.528786 0.775695 -0.163269 0.609623 0.488938 0.586412 +-0.210983 0.483240 -0.443751 0.775695 -0.163269 0.609623 0.519897 0.648324 +-0.210664 0.501884 -0.440016 0.782607 -0.135127 0.607673 0.510021 0.655663 +-0.210983 0.483240 -0.443751 0.782607 -0.135127 0.607673 0.519897 0.648324 +-0.148618 0.462029 -0.528786 0.782607 -0.135127 0.607673 0.488938 0.586412 +-0.236832 0.429808 -0.696120 -0.300678 -0.474488 -0.827318 0.564974 0.648583 +-0.286957 0.438026 -0.682616 -0.300678 -0.474488 -0.827318 0.594433 0.694740 +-0.233252 0.490942 -0.732483 -0.300678 -0.474488 -0.827318 0.530885 0.670484 +-0.294651 0.556845 -0.747369 -0.304732 -0.470905 -0.827881 0.538033 0.749816 +-0.233252 0.490942 -0.732483 -0.304732 -0.470905 -0.827881 0.530885 0.670484 +-0.286957 0.438026 -0.682616 -0.304732 -0.470905 -0.827881 0.594433 0.694740 +-0.286957 0.438026 -0.682616 -0.512195 -0.436326 -0.739781 0.594433 0.694740 +-0.347038 0.457320 -0.652398 -0.512195 -0.436326 -0.739781 0.624849 0.753919 +-0.294651 0.556845 -0.747369 -0.512195 -0.436326 -0.739781 0.538033 0.749816 +-0.352869 0.593997 -0.722752 -0.560842 -0.397707 -0.726144 0.557941 0.814694 +-0.294651 0.556845 -0.747369 -0.560842 -0.397707 -0.726144 0.538033 0.749816 +-0.347038 0.457320 -0.652398 -0.560842 -0.397707 -0.726144 0.624849 0.753919 +-0.347038 0.457320 -0.652398 -0.805044 -0.298289 -0.512765 0.414414 0.587896 +-0.387067 0.479440 -0.602420 -0.805044 -0.298289 -0.512765 0.419162 0.633543 +-0.352869 0.593997 -0.722752 -0.805044 -0.298289 -0.512765 0.334978 0.631026 +-0.398648 0.643241 -0.657788 -0.867407 -0.213290 -0.449568 0.326031 0.689777 +-0.352869 0.593997 -0.722752 -0.867407 -0.213290 -0.449568 0.334978 0.631026 +-0.387067 0.479440 -0.602420 -0.867407 -0.213290 -0.449568 0.419162 0.633543 +-0.405733 0.714452 -0.421712 -0.852374 0.008536 0.522863 0.253568 0.423279 +-0.396773 0.803304 -0.408556 -0.852374 0.008536 0.522863 0.250366 0.363945 +-0.449057 0.787950 -0.493539 -0.852374 0.008536 0.522863 0.197082 0.386156 +-0.445104 0.928435 -0.474404 -0.846802 -0.048322 0.529708 0.181180 0.294751 +-0.449057 0.787950 -0.493539 -0.846802 -0.048322 0.529708 0.197082 0.386156 +-0.396773 0.803304 -0.408556 -0.846802 -0.048322 0.529708 0.250366 0.363945 +-0.427755 0.650739 -0.497838 -0.926919 -0.125775 0.353555 0.334640 0.720623 +-0.405876 0.495396 -0.495740 -0.926919 -0.125775 0.353555 0.418054 0.656512 +-0.391453 0.607499 -0.418047 -0.926919 -0.125775 0.353555 0.344250 0.672888 +-0.357320 0.465251 -0.417054 -0.866101 -0.204641 0.456060 0.414284 0.600236 +-0.391453 0.607499 -0.418047 -0.866101 -0.204641 0.456060 0.344250 0.672888 +-0.405876 0.495396 -0.495740 -0.866101 -0.204641 0.456060 0.418054 0.656512 +-0.336212 0.375617 -0.447832 -0.750671 -0.365710 0.550226 0.659907 0.711320 +-0.357320 0.465251 -0.417054 -0.750671 -0.365710 0.550226 0.627655 0.765936 +-0.383499 0.385173 -0.505994 -0.750671 -0.365710 0.550226 0.686763 0.755599 +-0.405876 0.495396 -0.495740 -0.865675 -0.217684 0.450800 0.644694 0.819703 +-0.383499 0.385173 -0.505994 -0.865675 -0.217684 0.450800 0.686763 0.755599 +-0.357320 0.465251 -0.417054 -0.865675 -0.217684 0.450800 0.627655 0.765936 +-0.303818 0.141994 -0.553183 -0.821707 -0.246458 0.513864 0.591864 0.415425 +-0.314774 0.238126 -0.524596 -0.821707 -0.246458 0.513864 0.633909 0.464374 +-0.321219 0.146115 -0.579032 -0.821707 -0.246458 0.513864 0.609601 0.408314 +-0.325592 0.241358 -0.544287 -0.871915 -0.202647 0.445757 0.645158 0.460335 +-0.321219 0.146115 -0.579032 -0.871915 -0.202647 0.445757 0.609601 0.408314 +-0.314774 0.238126 -0.524596 -0.871915 -0.202647 0.445757 0.633909 0.464374 +-0.210664 0.501884 -0.440016 0.376998 -0.106716 0.920046 0.402611 0.518419 +-0.186971 0.537279 -0.445619 0.376998 -0.106716 0.920046 0.404865 0.483729 +-0.323346 0.595645 -0.382968 0.376998 -0.106716 0.920046 0.271593 0.559205 +-0.338005 0.651199 -0.375625 0.413453 -0.011244 0.910456 0.234649 0.543965 +-0.323346 0.595645 -0.382968 0.413453 -0.011244 0.910456 0.271593 0.559205 +-0.186971 0.537279 -0.445619 0.413453 -0.011244 0.910456 0.404865 0.483729 +-0.210983 0.483240 -0.443751 0.359252 -0.189222 0.913856 0.410919 0.527495 +-0.210664 0.501884 -0.440016 0.359252 -0.189222 0.913856 0.402611 0.518419 +-0.325815 0.553484 -0.384064 0.359252 -0.189222 0.913856 0.289016 0.581051 +-0.323346 0.595645 -0.382968 0.419012 -0.048108 0.906705 0.271593 0.559205 +-0.325815 0.553484 -0.384064 0.419012 -0.048108 0.906705 0.289016 0.581051 +-0.210664 0.501884 -0.440016 0.419012 -0.048108 0.906705 0.402611 0.518419 +-0.224163 0.371038 -0.441915 0.355218 -0.190901 0.915083 0.586909 0.613773 +-0.219295 0.413224 -0.435004 0.355218 -0.190901 0.915083 0.561772 0.626839 +-0.287657 0.357903 -0.420008 0.355218 -0.190901 0.915083 0.636426 0.662628 +-0.306654 0.449769 -0.389007 0.378747 -0.224656 0.897820 0.601596 0.716352 +-0.287657 0.357903 -0.420008 0.378747 -0.224656 0.897820 0.636426 0.662628 +-0.219295 0.413224 -0.435004 0.378747 -0.224656 0.897820 0.561772 0.626839 +-0.249190 0.142483 -0.549680 0.314411 -0.215074 0.924602 0.602933 0.342046 +-0.251681 0.238647 -0.526464 0.314411 -0.215074 0.924602 0.637022 0.395618 +-0.279028 0.138857 -0.540377 0.314411 -0.215074 0.924602 0.567497 0.427117 +-0.281356 0.237638 -0.506819 0.539218 -0.259476 0.801197 0.664618 0.378900 +-0.279028 0.138857 -0.540377 0.539218 -0.259476 0.801197 0.567497 0.427117 +-0.251681 0.238647 -0.526464 0.539218 -0.259476 0.801197 0.637022 0.395618 +-0.139670 0.486843 -0.729077 0.732343 -0.666764 -0.138199 0.470060 0.588902 +-0.130595 0.478463 -0.640556 0.732343 -0.666764 -0.138199 0.468298 0.577731 +-0.156180 0.464735 -0.709903 0.732343 -0.666764 -0.138199 0.492623 0.593974 +-0.152043 0.461232 -0.627013 0.600298 -0.797240 -0.063653 0.491655 0.589011 +-0.156180 0.464735 -0.709903 0.600298 -0.797240 -0.063653 0.492623 0.593974 +-0.130595 0.478463 -0.640556 0.600298 -0.797240 -0.063653 0.468298 0.577731 +-0.156180 0.464735 -0.709903 0.803510 -0.591720 -0.065109 0.492623 0.593974 +-0.152043 0.461232 -0.627013 0.803510 -0.591720 -0.065109 0.491655 0.589011 +-0.166408 0.448651 -0.689953 0.803510 -0.591720 -0.065109 0.507838 0.596142 +-0.155519 0.446525 -0.617108 0.935098 -0.321470 -0.149162 0.501615 0.585975 +-0.166408 0.448651 -0.689953 0.935098 -0.321470 -0.149162 0.507838 0.596142 +-0.152043 0.461232 -0.627013 0.935098 -0.321470 -0.149162 0.491655 0.589011 +-0.185062 0.409151 -0.653566 0.822836 -0.419534 -0.383316 0.540856 0.595945 +-0.166063 0.399052 -0.601729 0.822836 -0.419534 -0.383316 0.533309 0.575598 +-0.200532 0.376826 -0.651395 0.822836 -0.419534 -0.383316 0.568014 0.595958 +-0.179266 0.377465 -0.601335 0.801346 -0.496216 -0.334086 0.553378 0.578060 +-0.200532 0.376826 -0.651395 0.801346 -0.496216 -0.334086 0.568014 0.595958 +-0.166063 0.399052 -0.601729 0.801346 -0.496216 -0.334086 0.533309 0.575598 +-0.241496 0.153820 -0.644234 0.742155 0.185165 -0.644143 0.599434 0.352707 +-0.239402 0.258518 -0.611725 0.742155 0.185165 -0.644143 0.632026 0.413647 +-0.232306 0.151996 -0.634170 0.742155 0.185165 -0.644143 0.590183 0.356664 +-0.229813 0.252879 -0.597061 0.853253 0.161333 -0.495914 0.621140 0.415642 +-0.232306 0.151996 -0.634170 0.853253 0.161333 -0.495914 0.590183 0.356664 +-0.239402 0.258518 -0.611725 0.853253 0.161333 -0.495914 0.632026 0.413647 +-0.348767 0.311345 -0.549903 -0.918082 -0.342818 -0.199001 0.701659 0.695802 +-0.355280 0.307759 -0.513678 -0.918082 -0.342818 -0.199001 0.707899 0.699900 +-0.376532 0.385658 -0.549829 -0.918082 -0.342818 -0.199001 0.681825 0.749848 +-0.383499 0.385173 -0.505994 -0.933375 -0.325152 -0.151946 0.686763 0.755599 +-0.376532 0.385658 -0.549829 -0.933375 -0.325152 -0.151946 0.681825 0.749848 +-0.355280 0.307759 -0.513678 -0.933375 -0.325152 -0.151946 0.707899 0.699900 +-0.337312 0.305082 -0.487621 -0.427750 -0.439034 0.790113 0.602910 0.613248 +-0.284307 0.300945 -0.461224 -0.427750 -0.439034 0.790113 0.569399 0.566298 +-0.336212 0.375617 -0.447832 -0.427750 -0.439034 0.790113 0.565617 0.641104 +-0.287657 0.357903 -0.420008 -0.560304 -0.506947 0.655029 0.542135 0.592411 +-0.336212 0.375617 -0.447832 -0.560304 -0.506947 0.655029 0.565617 0.641104 +-0.284307 0.300945 -0.461224 -0.560304 -0.506947 0.655029 0.569399 0.566298 +-0.237075 0.304912 -0.487034 0.646588 -0.512062 0.565435 0.645152 0.441411 +-0.196859 0.303928 -0.533913 0.646588 -0.512062 0.565435 0.606978 0.462724 +-0.224163 0.371038 -0.441915 0.646588 -0.512062 0.565435 0.654828 0.486204 +-0.178825 0.378250 -0.521027 0.842885 -0.283789 0.457175 0.614541 0.514984 +-0.224163 0.371038 -0.441915 0.842885 -0.283789 0.457175 0.654828 0.486204 +-0.196859 0.303928 -0.533913 0.842885 -0.283789 0.457175 0.606978 0.462724 +-0.249547 0.327400 -0.643542 -0.241457 -0.460643 -0.854112 0.626598 0.617634 +-0.276524 0.326774 -0.635578 -0.241457 -0.460643 -0.854112 0.645068 0.640414 +-0.245371 0.378741 -0.672412 -0.241457 -0.460643 -0.854112 0.597182 0.635027 +-0.276524 0.379310 -0.661972 -0.294051 -0.429080 -0.854063 0.617843 0.661860 +-0.245371 0.378741 -0.672412 -0.294051 -0.429080 -0.854063 0.597182 0.635027 +-0.276524 0.326774 -0.635578 -0.294051 -0.429080 -0.854063 0.645068 0.640414 +-0.276524 0.326774 -0.635578 -0.429493 -0.405413 -0.806955 0.550778 0.570197 +-0.319099 0.323902 -0.611475 -0.429493 -0.405413 -0.806955 0.580905 0.605379 +-0.276524 0.379310 -0.661972 -0.429493 -0.405413 -0.806955 0.523553 0.591644 +-0.332847 0.381643 -0.626788 -0.509629 -0.331863 -0.793817 0.560230 0.640690 +-0.276524 0.379310 -0.661972 -0.509629 -0.331863 -0.793817 0.523553 0.591644 +-0.319099 0.323902 -0.611475 -0.509629 -0.331863 -0.793817 0.580905 0.605379 +-0.319099 0.323902 -0.611475 -0.685007 -0.334710 -0.647097 0.580905 0.605379 +-0.343097 0.315867 -0.581915 -0.685007 -0.334710 -0.647097 0.601212 0.622591 +-0.332847 0.381643 -0.626788 -0.685007 -0.334710 -0.647097 0.560230 0.640690 +-0.367801 0.383197 -0.587543 -0.715004 -0.314532 -0.624371 0.582937 0.671172 +-0.332847 0.381643 -0.626788 -0.715004 -0.314532 -0.624371 0.560230 0.640690 +-0.343097 0.315867 -0.581915 -0.715004 -0.314532 -0.624371 0.601212 0.622591 +-0.355280 0.307759 -0.513678 -0.790469 -0.338791 0.510274 0.613609 0.629684 +-0.337312 0.305082 -0.487621 -0.790469 -0.338791 0.510274 0.602910 0.613248 +-0.383499 0.385173 -0.505994 -0.790469 -0.338791 0.510274 0.592473 0.685383 +-0.336212 0.375617 -0.447832 -0.762157 -0.309020 0.568879 0.565617 0.641104 +-0.383499 0.385173 -0.505994 -0.762157 -0.309020 0.568879 0.592473 0.685383 +-0.337312 0.305082 -0.487621 -0.762157 -0.309020 0.568879 0.602910 0.613248 +-0.284307 0.300945 -0.461224 0.445628 -0.507459 0.737497 0.663689 0.636514 +-0.237075 0.304912 -0.487034 0.445628 -0.507459 0.737497 0.629862 0.597803 +-0.287657 0.357903 -0.420008 0.445628 -0.507459 0.737497 0.636426 0.662628 +-0.224163 0.371038 -0.441915 0.370787 -0.571758 0.731853 0.586909 0.613773 +-0.287657 0.357903 -0.420008 0.370787 -0.571758 0.731853 0.636426 0.662628 +-0.237075 0.304912 -0.487034 0.370787 -0.571758 0.731853 0.629862 0.597803 +-0.198140 0.314314 -0.597121 0.831458 -0.280500 -0.479580 0.611612 0.467960 +-0.215880 0.327812 -0.635772 0.831458 -0.280500 -0.479580 0.632764 0.466020 +-0.179266 0.377465 -0.601335 0.831458 -0.280500 -0.479580 0.614697 0.514296 +-0.200532 0.376826 -0.651395 0.852737 -0.380938 -0.357388 0.634500 0.502364 +-0.179266 0.377465 -0.601335 0.852737 -0.380938 -0.357388 0.614697 0.514296 +-0.215880 0.327812 -0.635772 0.852737 -0.380938 -0.357388 0.632764 0.466020 +-0.441108 0.978452 -0.605236 -0.976801 0.105358 -0.186438 0.308097 0.175116 +-0.421764 0.935026 -0.731125 -0.976801 0.105358 -0.186438 0.305639 0.210568 +-0.459976 0.814650 -0.598947 -0.976801 0.105358 -0.186438 0.222630 0.244351 +-0.430026 0.805969 -0.707082 -0.963408 0.011789 -0.267780 0.243780 0.269755 +-0.459976 0.814650 -0.598947 -0.963408 0.011789 -0.267780 0.222630 0.244351 +-0.421764 0.935026 -0.731125 -0.963408 0.011789 -0.267780 0.305639 0.210568 +-0.398648 0.643241 -0.657788 -0.905854 -0.191722 -0.377718 0.326031 0.689777 +-0.387067 0.479440 -0.602420 -0.905854 -0.191722 -0.377718 0.419162 0.633543 +-0.436833 0.660827 -0.575138 -0.905854 -0.191722 -0.377718 0.332672 0.732360 +-0.402735 0.492227 -0.560380 -0.934860 -0.213872 -0.283364 0.418542 0.652538 +-0.436833 0.660827 -0.575138 -0.934860 -0.213872 -0.283364 0.332672 0.732360 +-0.387067 0.479440 -0.602420 -0.934860 -0.213872 -0.283364 0.419162 0.633543 +-0.402735 0.492227 -0.560380 -0.928881 -0.254988 -0.268630 0.418542 0.652538 +-0.387067 0.479440 -0.602420 -0.928881 -0.254988 -0.268630 0.419162 0.633543 +-0.376532 0.385658 -0.549829 -0.928881 -0.254988 -0.268630 0.470725 0.597484 +-0.367801 0.383197 -0.587543 -0.952881 -0.222602 -0.206071 0.468270 0.588174 +-0.376532 0.385658 -0.549829 -0.952881 -0.222602 -0.206071 0.470725 0.597484 +-0.387067 0.479440 -0.602420 -0.952881 -0.222602 -0.206071 0.419162 0.633543 +-0.376532 0.385658 -0.549829 -0.919661 -0.343416 -0.190497 0.681825 0.749848 +-0.367801 0.383197 -0.587543 -0.919661 -0.343416 -0.190497 0.677227 0.741388 +-0.348767 0.311345 -0.549903 -0.919661 -0.343416 -0.190497 0.701659 0.695802 +-0.343097 0.315867 -0.581915 -0.911775 -0.352196 -0.211246 0.695502 0.692807 +-0.348767 0.311345 -0.549903 -0.911775 -0.352196 -0.211246 0.701659 0.695802 +-0.367801 0.383197 -0.587543 -0.911775 -0.352196 -0.211246 0.677227 0.741388 +-0.320785 0.245758 -0.569750 -0.985638 0.040210 -0.164017 0.547796 0.395247 +-0.316683 0.250336 -0.593278 -0.985638 0.040210 -0.164017 0.607767 0.296721 +-0.318454 0.149689 -0.607310 -0.985638 0.040210 -0.164017 0.513889 0.341643 +-0.309583 0.151638 -0.628690 -0.923664 0.068810 -0.376974 0.506183 0.347581 +-0.318454 0.149689 -0.607310 -0.923664 0.068810 -0.376974 0.513889 0.341643 +-0.316683 0.250336 -0.593278 -0.923664 0.068810 -0.376974 0.607767 0.296721 +-0.130595 0.478463 -0.640556 0.670550 -0.729761 0.133460 0.468298 0.577731 +-0.131915 0.497689 -0.528796 0.670550 -0.729761 0.133460 0.459223 0.586707 +-0.152043 0.461232 -0.627013 0.670550 -0.729761 0.133460 0.491655 0.589011 +-0.148618 0.462029 -0.528786 0.905221 -0.424010 -0.028123 0.488938 0.586412 +-0.152043 0.461232 -0.627013 0.905221 -0.424010 -0.028123 0.491655 0.589011 +-0.131915 0.497689 -0.528796 0.905221 -0.424010 -0.028123 0.459223 0.586707 +-0.152043 0.461232 -0.627013 0.967707 -0.250076 -0.031713 0.491655 0.589011 +-0.148618 0.462029 -0.528786 0.967707 -0.250076 -0.031713 0.488938 0.586412 +-0.155519 0.446525 -0.617108 0.967707 -0.250076 -0.031713 0.501615 0.585975 +-0.153661 0.447830 -0.526172 0.941394 -0.337001 -0.014398 0.499689 0.584922 +-0.155519 0.446525 -0.617108 0.941394 -0.337001 -0.014398 0.501615 0.585975 +-0.148618 0.462029 -0.528786 0.941394 -0.337001 -0.014398 0.488938 0.586412 +-0.179266 0.377465 -0.601335 0.853092 -0.521760 0.000415 0.553378 0.578060 +-0.166063 0.399052 -0.601729 0.853092 -0.521760 0.000415 0.533309 0.575598 +-0.178825 0.378250 -0.521027 0.853092 -0.521760 0.000415 0.552674 0.578004 +-0.165710 0.397867 -0.520333 0.831460 -0.555462 -0.011692 0.533686 0.574814 +-0.178825 0.378250 -0.521027 0.831460 -0.555462 -0.011692 0.552674 0.578004 +-0.166063 0.399052 -0.601729 0.831460 -0.555462 -0.011692 0.533309 0.575598 +-0.198140 0.314314 -0.597121 0.954738 -0.289812 -0.066969 0.611612 0.467960 +-0.179266 0.377465 -0.601335 0.954738 -0.289812 -0.066969 0.614697 0.514296 +-0.196859 0.303928 -0.533913 0.954738 -0.289812 -0.066969 0.606978 0.462724 +-0.178825 0.378250 -0.521027 0.971917 -0.235306 -0.003037 0.614541 0.514984 +-0.196859 0.303928 -0.533913 0.971917 -0.235306 -0.003037 0.606978 0.462724 +-0.179266 0.377465 -0.601335 0.971917 -0.235306 -0.003037 0.614697 0.514296 +-0.232306 0.151996 -0.634170 0.996427 0.006355 -0.084218 0.590183 0.356664 +-0.229813 0.252879 -0.597061 0.996427 0.006355 -0.084218 0.621140 0.415642 +-0.229231 0.149052 -0.598010 0.996427 0.006355 -0.084218 0.586318 0.356654 +-0.227821 0.242999 -0.552386 0.999048 0.005995 -0.043220 0.616004 0.411082 +-0.229231 0.149052 -0.598010 0.999048 0.005995 -0.043220 0.586318 0.356654 +-0.229813 0.252879 -0.597061 0.999048 0.005995 -0.043220 0.621140 0.415642 +-0.188531 0.548481 -0.803520 -0.082147 -0.793458 -0.603056 0.470985 0.655787 +-0.139670 0.486843 -0.729077 -0.082147 -0.793458 -0.603056 0.470060 0.588902 +-0.229238 0.513438 -0.751868 -0.082147 -0.793458 -0.603056 0.516527 0.676240 +-0.156180 0.464735 -0.709903 -0.001897 -0.654388 -0.756156 0.492623 0.593974 +-0.229238 0.513438 -0.751868 -0.001897 -0.654388 -0.756156 0.516527 0.676240 +-0.139670 0.486843 -0.729077 -0.001897 -0.654388 -0.756156 0.470060 0.588902 +-0.233252 0.490942 -0.732483 0.061429 -0.657818 -0.750668 0.530885 0.670484 +-0.229238 0.513438 -0.751868 0.061429 -0.657818 -0.750668 0.516527 0.676240 +-0.166408 0.448651 -0.689953 0.061429 -0.657818 -0.750668 0.507838 0.596142 +-0.156180 0.464735 -0.709903 -0.116833 -0.743050 -0.658958 0.492623 0.593974 +-0.166408 0.448651 -0.689953 -0.116833 -0.743050 -0.658958 0.507838 0.596142 +-0.229238 0.513438 -0.751868 -0.116833 -0.743050 -0.658958 0.516527 0.676240 +-0.236832 0.429808 -0.696120 0.461287 -0.435903 -0.772789 0.564974 0.648583 +-0.185062 0.409151 -0.653566 0.461287 -0.435903 -0.772789 0.540856 0.595945 +-0.245371 0.378741 -0.672412 0.461287 -0.435903 -0.772789 0.597182 0.635027 +-0.200532 0.376826 -0.651395 0.401944 -0.251493 -0.880450 0.568014 0.595958 +-0.245371 0.378741 -0.672412 0.401944 -0.251493 -0.880450 0.597182 0.635027 +-0.185062 0.409151 -0.653566 0.401944 -0.251493 -0.880450 0.540856 0.595945 +-0.245371 0.378741 -0.672412 0.355451 -0.479932 -0.802072 0.597182 0.635027 +-0.200532 0.376826 -0.651395 0.355451 -0.479932 -0.802072 0.568014 0.595958 +-0.249547 0.327400 -0.643542 0.355451 -0.479932 -0.802072 0.626598 0.617634 +-0.215880 0.327812 -0.635772 0.214213 -0.356898 -0.909251 0.603738 0.589054 +-0.249547 0.327400 -0.643542 0.214213 -0.356898 -0.909251 0.626598 0.617634 +-0.200532 0.376826 -0.651395 0.214213 -0.356898 -0.909251 0.568014 0.595958 +-0.256660 0.154840 -0.650004 0.360058 0.207212 -0.909627 0.614043 0.345041 +-0.258925 0.262389 -0.626401 0.360058 0.207212 -0.909627 0.651678 0.405239 +-0.241496 0.153820 -0.644234 0.360058 0.207212 -0.909627 0.599434 0.352707 +-0.239402 0.258518 -0.611725 0.613621 0.222926 -0.757478 0.632026 0.413647 +-0.241496 0.153820 -0.644234 0.613621 0.222926 -0.757478 0.599434 0.352707 +-0.258925 0.262389 -0.626401 0.613621 0.222926 -0.757478 0.651678 0.405239 +-0.325815 0.553484 -0.384064 -0.457383 0.003668 0.889262 0.347117 0.593187 +-0.323346 0.595645 -0.382968 -0.457383 0.003668 0.889262 0.320691 0.602269 +-0.391453 0.607499 -0.418047 -0.457383 0.003668 0.889262 0.344250 0.672888 +-0.405733 0.714452 -0.421712 -0.461967 -0.031308 0.886344 0.286467 0.716252 +-0.391453 0.607499 -0.418047 -0.461967 -0.031308 0.886344 0.344250 0.672888 +-0.323346 0.595645 -0.382968 -0.461967 -0.031308 0.886344 0.320691 0.602269 +-0.391453 0.607499 -0.418047 -0.925918 -0.111256 0.360968 0.284020 0.488793 +-0.405733 0.714452 -0.421712 -0.925918 -0.111256 0.360968 0.253568 0.423279 +-0.427755 0.650739 -0.497838 -0.925918 -0.111256 0.360968 0.239312 0.469502 +-0.449057 0.787950 -0.493539 -0.907663 -0.153158 0.390756 0.197082 0.386156 +-0.427755 0.650739 -0.497838 -0.907663 -0.153158 0.390756 0.239312 0.469502 +-0.405733 0.714452 -0.421712 -0.907663 -0.153158 0.390756 0.253568 0.423279 +-0.427755 0.650739 -0.497838 -0.983222 -0.155627 0.095158 0.239312 0.469502 +-0.449057 0.787950 -0.493539 -0.983222 -0.155627 0.095158 0.197082 0.386156 +-0.436833 0.660827 -0.575138 -0.983222 -0.155627 0.095158 0.228237 0.465145 +-0.459976 0.814650 -0.598947 -0.988107 -0.138240 0.067339 0.181675 0.371535 +-0.436833 0.660827 -0.575138 -0.988107 -0.138240 0.067339 0.228237 0.465145 +-0.449057 0.787950 -0.493539 -0.988107 -0.138240 0.067339 0.197082 0.386156 +-0.436833 0.660827 -0.575138 -0.905554 -0.194591 -0.376969 0.228237 0.465145 +-0.459976 0.814650 -0.598947 -0.905554 -0.194591 -0.376969 0.181675 0.371535 +-0.398648 0.643241 -0.657788 -0.905554 -0.194591 -0.376969 0.271272 0.467470 +-0.430026 0.805969 -0.707082 -0.937346 -0.253229 -0.239286 0.214699 0.370067 +-0.398648 0.643241 -0.657788 -0.937346 -0.253229 -0.239286 0.271272 0.467470 +-0.459976 0.814650 -0.598947 -0.937346 -0.253229 -0.239286 0.181675 0.371535 +-0.352869 0.593997 -0.722752 -0.871680 -0.277026 -0.404266 0.326895 0.488395 +-0.398648 0.643241 -0.657788 -0.871680 -0.277026 -0.404266 0.271272 0.467470 +-0.368785 0.725018 -0.778217 -0.871680 -0.277026 -0.404266 0.291264 0.407766 +-0.430026 0.805969 -0.707082 -0.863433 -0.291261 -0.411887 0.214699 0.370067 +-0.368785 0.725018 -0.778217 -0.863433 -0.291261 -0.411887 0.291264 0.407766 +-0.398648 0.643241 -0.657788 -0.863433 -0.291261 -0.411887 0.271272 0.467470 +-0.294651 0.556845 -0.747369 -0.576875 -0.454071 -0.678995 0.311807 0.555890 +-0.352869 0.593997 -0.722752 -0.576875 -0.454071 -0.678995 0.249297 0.582313 +-0.294151 0.616429 -0.787640 -0.576875 -0.454071 -0.678995 0.284850 0.527276 +-0.368785 0.725018 -0.778217 -0.622602 -0.367990 -0.690616 0.176735 0.532261 +-0.294151 0.616429 -0.787640 -0.622602 -0.367990 -0.690616 0.284850 0.527276 +-0.352869 0.593997 -0.722752 -0.622602 -0.367990 -0.690616 0.249297 0.582313 +-0.233252 0.490942 -0.732483 -0.414998 -0.550292 -0.724538 0.389995 0.540687 +-0.294651 0.556845 -0.747369 -0.414998 -0.550292 -0.724538 0.311807 0.555890 +-0.229238 0.513438 -0.751868 -0.414998 -0.550292 -0.724538 0.382805 0.526991 +-0.294151 0.616429 -0.787640 -0.392737 -0.512710 -0.763470 0.284850 0.527276 +-0.229238 0.513438 -0.751868 -0.392737 -0.512710 -0.763470 0.382805 0.526991 +-0.294651 0.556845 -0.747369 -0.392737 -0.512710 -0.763470 0.311807 0.555890 +-0.325815 0.553484 -0.384064 0.483472 0.047662 0.874061 0.560738 0.775054 +-0.306654 0.449769 -0.389007 0.483472 0.047662 0.874061 0.601596 0.716352 +-0.210983 0.483240 -0.443751 0.483472 0.047662 0.874061 0.519897 0.648324 +-0.219295 0.413224 -0.435004 0.482210 0.052006 0.874511 0.561772 0.626839 +-0.210983 0.483240 -0.443751 0.482210 0.052006 0.874511 0.519897 0.648324 +-0.306654 0.449769 -0.389007 0.482210 0.052006 0.874511 0.601596 0.716352 +-0.210983 0.483240 -0.443751 0.815729 -0.024642 0.577909 0.519897 0.648324 +-0.219295 0.413224 -0.435004 0.815729 -0.024642 0.577909 0.561772 0.626839 +-0.153661 0.447830 -0.526172 0.815729 -0.024642 0.577909 0.499689 0.584922 +-0.165710 0.397867 -0.520333 0.827783 -0.136015 0.544311 0.533686 0.574814 +-0.153661 0.447830 -0.526172 0.827783 -0.136015 0.544311 0.499689 0.584922 +-0.219295 0.413224 -0.435004 0.827783 -0.136015 0.544311 0.561772 0.626839 +-0.155519 0.446525 -0.617108 0.974913 -0.221954 -0.016734 0.501615 0.585975 +-0.153661 0.447830 -0.526172 0.974913 -0.221954 -0.016734 0.499689 0.584922 +-0.166063 0.399052 -0.601729 0.974913 -0.221954 -0.016734 0.533309 0.575598 +-0.165710 0.397867 -0.520333 0.971899 -0.235275 -0.007640 0.533686 0.574814 +-0.166063 0.399052 -0.601729 0.971899 -0.235275 -0.007640 0.533309 0.575598 +-0.153661 0.447830 -0.526172 0.971899 -0.235275 -0.007640 0.499689 0.584922 +-0.166408 0.448651 -0.689953 0.838876 -0.525813 -0.140742 0.507838 0.596142 +-0.155519 0.446525 -0.617108 0.838876 -0.525813 -0.140742 0.501615 0.585975 +-0.185062 0.409151 -0.653566 0.838876 -0.525813 -0.140742 0.540856 0.595945 +-0.166063 0.399052 -0.601729 0.869184 -0.316208 -0.380173 0.533309 0.575598 +-0.185062 0.409151 -0.653566 0.869184 -0.316208 -0.380173 0.540856 0.595945 +-0.155519 0.446525 -0.617108 0.869184 -0.316208 -0.380173 0.501615 0.585975 +-0.233252 0.490942 -0.732483 0.209287 -0.508914 -0.834988 0.530885 0.670484 +-0.166408 0.448651 -0.689953 0.209287 -0.508914 -0.834988 0.507838 0.596142 +-0.236832 0.429808 -0.696120 0.209287 -0.508914 -0.834988 0.564974 0.648583 +-0.185062 0.409151 -0.653566 0.248893 -0.717174 -0.650933 0.540856 0.595945 +-0.236832 0.429808 -0.696120 0.248893 -0.717174 -0.650933 0.564974 0.648583 +-0.166408 0.448651 -0.689953 0.248893 -0.717174 -0.650933 0.507838 0.596142 +-0.346166 0.040982 -0.674416 -0.850308 0.347478 -0.395266 0.598373 0.334695 +-0.326741 0.044831 -0.712820 -0.850308 0.347478 -0.395266 0.581363 0.347459 +-0.348796 0.000013 -0.704774 -0.850308 0.347478 -0.395266 0.587324 0.309864 +-0.332202 -0.000057 -0.734652 -0.826664 0.324242 -0.459884 0.571684 0.318850 +-0.348796 0.000013 -0.704774 -0.826664 0.324242 -0.459884 0.587324 0.309864 +-0.326741 0.044831 -0.712820 -0.826664 0.324242 -0.459884 0.581363 0.347459 +-0.318030 0.032404 -0.594901 -0.817627 0.064505 0.572123 0.569062 0.345099 +-0.342440 0.037392 -0.630348 -0.817627 0.064505 0.572123 0.593682 0.334671 +-0.335244 0.000015 -0.615850 -0.817627 0.064505 0.572123 0.574571 0.317236 +-0.349110 0.000113 -0.655147 -0.941759 -0.052468 0.332170 0.587652 0.309750 +-0.335244 0.000015 -0.615850 -0.941759 -0.052468 0.332170 0.574571 0.317236 +-0.342440 0.037392 -0.630348 -0.941759 -0.052468 0.332170 0.593682 0.334671 +-0.236572 0.032914 -0.595298 0.361171 -0.215876 0.907167 0.492567 0.389698 +-0.278297 0.034141 -0.578394 0.361171 -0.215876 0.907167 0.532242 0.367703 +-0.222624 0.000015 -0.608680 0.361171 -0.215876 0.907167 0.468580 0.378494 +-0.278199 0.000015 -0.590617 0.292674 -0.321686 0.900478 0.520884 0.348265 +-0.222624 0.000015 -0.608680 0.292674 -0.321686 0.900478 0.468580 0.378494 +-0.278297 0.034141 -0.578394 0.292674 -0.321686 0.900478 0.532242 0.367703 +-0.197789 0.037944 -0.683783 0.967206 0.119817 0.223959 0.520048 0.310295 +-0.210457 0.037344 -0.628753 0.967206 0.119817 0.223959 0.531773 0.303062 +-0.189201 0.000015 -0.700580 0.967206 0.119817 0.223959 0.437125 0.396674 +-0.200394 0.000015 -0.636211 0.959861 0.225408 0.166908 0.447659 0.390585 +-0.189201 0.000015 -0.700580 0.959861 0.225408 0.166908 0.437125 0.396674 +-0.210457 0.037344 -0.628753 0.959861 0.225408 0.166908 0.531773 0.303062 +-0.292682 0.046478 -0.727566 0.335479 0.427460 -0.839483 0.549852 0.366925 +-0.273287 0.043570 -0.721296 0.335479 0.427460 -0.839483 0.530639 0.375814 +-0.295178 -0.000018 -0.752239 0.335479 0.427460 -0.839483 0.536852 0.339011 +-0.272467 0.000037 -0.735551 0.570500 0.265268 -0.777279 0.515496 0.351395 +-0.295178 -0.000018 -0.752239 0.570500 0.265268 -0.777279 0.536852 0.339011 +-0.273287 0.043570 -0.721296 0.570500 0.265268 -0.777279 0.530639 0.375814 +-0.326741 0.044831 -0.712820 -0.374310 0.442013 -0.815179 0.581363 0.347459 +-0.292682 0.046478 -0.727566 -0.374310 0.442013 -0.815179 0.549852 0.366925 +-0.332202 -0.000057 -0.734652 -0.374310 0.442013 -0.815179 0.571684 0.318850 +-0.295178 -0.000018 -0.752239 -0.383808 0.448833 -0.806994 0.536852 0.339011 +-0.332202 -0.000057 -0.734652 -0.383808 0.448833 -0.806994 0.571684 0.318850 +-0.292682 0.046478 -0.727566 -0.383808 0.448833 -0.806994 0.549852 0.366925 +-0.278297 0.034141 -0.578394 -0.352102 -0.316499 0.880825 0.532242 0.367703 +-0.318030 0.032404 -0.594901 -0.352102 -0.316499 0.880825 0.569062 0.345099 +-0.278199 0.000015 -0.590617 -0.352102 -0.316499 0.880825 0.520884 0.348265 +-0.335244 0.000015 -0.615850 -0.378581 -0.352364 0.855871 0.574571 0.317236 +-0.278199 0.000015 -0.590617 -0.378581 -0.352364 0.855871 0.520884 0.348265 +-0.318030 0.032404 -0.594901 -0.378581 -0.352364 0.855871 0.569062 0.345099 +-0.210457 0.037344 -0.628753 0.779755 0.086312 0.620106 0.531773 0.303062 +-0.236572 0.032914 -0.595298 0.779755 0.086312 0.620106 0.492567 0.389698 +-0.200394 0.000015 -0.636211 0.779755 0.086312 0.620106 0.447659 0.390585 +-0.222624 0.000015 -0.608680 0.775892 0.074116 0.626497 0.468580 0.378494 +-0.200394 0.000015 -0.636211 0.775892 0.074116 0.626497 0.447659 0.390585 +-0.236572 0.032914 -0.595298 0.775892 0.074116 0.626497 0.492567 0.389698 +-0.253455 0.046138 -0.733264 0.203837 0.439715 -0.874701 0.512822 0.388068 +-0.218227 0.045825 -0.725212 0.203837 0.439715 -0.874701 0.479564 0.407051 +-0.248955 0.000014 -0.755402 0.203837 0.439715 -0.874701 0.493361 0.364171 +-0.208629 0.000015 -0.741017 0.312442 0.367659 -0.875903 0.455409 0.386106 +-0.248955 0.000014 -0.755402 0.312442 0.367659 -0.875903 0.493361 0.364171 +-0.218227 0.045825 -0.725212 0.312442 0.367659 -0.875903 0.479564 0.407051 +-0.342440 0.037392 -0.630348 -0.988993 0.115088 0.092996 0.593682 0.334671 +-0.346166 0.040982 -0.674416 -0.988993 0.115088 0.092996 0.598373 0.334695 +-0.349110 0.000113 -0.655147 -0.988993 0.115088 0.092996 0.587652 0.309750 +-0.348796 0.000013 -0.704774 -0.997608 0.068821 -0.006451 0.587324 0.309864 +-0.349110 0.000113 -0.655147 -0.997608 0.068821 -0.006451 0.587652 0.309750 +-0.346166 0.040982 -0.674416 -0.997608 0.068821 -0.006451 0.598373 0.334695 +-0.218227 0.045825 -0.725212 0.874352 0.311562 -0.372073 0.479564 0.407051 +-0.197789 0.037944 -0.683783 0.874352 0.311562 -0.372073 0.520048 0.310295 +-0.208629 0.000015 -0.741017 0.874352 0.311562 -0.372073 0.455409 0.386106 +-0.189201 0.000015 -0.700580 0.838083 0.368080 -0.402658 0.437125 0.396674 +-0.208629 0.000015 -0.741017 0.838083 0.368080 -0.402658 0.455409 0.386106 +-0.197789 0.037944 -0.683783 0.838083 0.368080 -0.402658 0.520048 0.310295 +-0.273287 0.043570 -0.721296 -0.523536 0.256215 -0.812566 0.530639 0.375814 +-0.253455 0.046138 -0.733264 -0.523536 0.256215 -0.812566 0.512822 0.388068 +-0.272467 0.000037 -0.735551 -0.523536 0.256215 -0.812566 0.515496 0.351395 +-0.248955 0.000014 -0.755402 -0.617077 0.290756 -0.731216 0.493361 0.364171 +-0.272467 0.000037 -0.735551 -0.617077 0.290756 -0.731216 0.515496 0.351395 +-0.253455 0.046138 -0.733264 -0.617077 0.290756 -0.731216 0.512822 0.388068 +-0.328640 0.275564 -0.560920 -0.875999 -0.419440 -0.238107 0.612373 0.593792 +-0.333531 0.271928 -0.536521 -0.875999 -0.419440 -0.238107 0.617547 0.596485 +-0.348767 0.311345 -0.549903 -0.875999 -0.419440 -0.238107 0.607369 0.625586 +-0.355280 0.307759 -0.513678 -0.888964 -0.411714 -0.200586 0.613609 0.629684 +-0.348767 0.311345 -0.549903 -0.888964 -0.411714 -0.200586 0.607369 0.625586 +-0.333531 0.271928 -0.536521 -0.888964 -0.411714 -0.200586 0.617547 0.596485 +-0.321012 0.269870 -0.513381 -0.297688 -0.649593 0.699579 0.610193 0.584954 +-0.281603 0.271164 -0.495410 -0.297688 -0.649593 0.699579 0.583014 0.551832 +-0.337312 0.305082 -0.487621 -0.297688 -0.649593 0.699579 0.602910 0.613248 +-0.284307 0.300945 -0.461224 -0.354035 -0.718869 0.598237 0.569399 0.566298 +-0.337312 0.305082 -0.487621 -0.354035 -0.718869 0.598237 0.602910 0.613248 +-0.281603 0.271164 -0.495410 -0.354035 -0.718869 0.598237 0.583014 0.551832 +-0.246942 0.267732 -0.515169 0.661708 -0.556129 0.502854 0.642165 0.414808 +-0.218390 0.270212 -0.549998 0.661708 -0.556129 0.502854 0.616111 0.431755 +-0.237075 0.304912 -0.487034 0.661708 -0.556129 0.502854 0.645152 0.441411 +-0.196859 0.303928 -0.533913 0.587738 -0.622099 0.517259 0.606978 0.462724 +-0.237075 0.304912 -0.487034 0.587738 -0.622099 0.517259 0.645152 0.441411 +-0.218390 0.270212 -0.549998 0.587738 -0.622099 0.517259 0.616111 0.431755 +-0.256416 0.286227 -0.624547 -0.027334 -0.414994 -0.909414 0.652555 0.606691 +-0.276764 0.286603 -0.624107 -0.027334 -0.414994 -0.909414 0.666048 0.624219 +-0.249547 0.327400 -0.643542 -0.027334 -0.414994 -0.909414 0.626598 0.617634 +-0.276524 0.326774 -0.635578 -0.267540 -0.263091 -0.926934 0.645068 0.640414 +-0.249547 0.327400 -0.643542 -0.267540 -0.263091 -0.926934 0.626598 0.617634 +-0.276764 0.286603 -0.624107 -0.267540 -0.263091 -0.926934 0.666048 0.624219 +-0.276764 0.286603 -0.624107 -0.406934 -0.248567 -0.878988 0.571758 0.554003 +-0.307727 0.283631 -0.608932 -0.406934 -0.248567 -0.878988 0.594125 0.579228 +-0.276524 0.326774 -0.635578 -0.406934 -0.248567 -0.878988 0.550778 0.570197 +-0.319099 0.323902 -0.611475 -0.474208 -0.188220 -0.860058 0.580905 0.605379 +-0.276524 0.326774 -0.635578 -0.474208 -0.188220 -0.860058 0.550778 0.570197 +-0.307727 0.283631 -0.608932 -0.474208 -0.188220 -0.860058 0.594125 0.579228 +-0.307727 0.283631 -0.608932 -0.723379 -0.245034 -0.645508 0.594125 0.579228 +-0.324506 0.280399 -0.588902 -0.723379 -0.245034 -0.645508 0.607086 0.592236 +-0.319099 0.323902 -0.611475 -0.723379 -0.245034 -0.645508 0.580905 0.605379 +-0.343097 0.315867 -0.581915 -0.717954 -0.248212 -0.650333 0.601212 0.622591 +-0.319099 0.323902 -0.611475 -0.717954 -0.248212 -0.650333 0.580905 0.605379 +-0.324506 0.280399 -0.588902 -0.717954 -0.248212 -0.650333 0.607086 0.592236 +-0.333531 0.271928 -0.536521 -0.702919 -0.633203 0.323972 0.617547 0.596485 +-0.321012 0.269870 -0.513381 -0.702919 -0.633203 0.323972 0.610193 0.584954 +-0.355280 0.307759 -0.513678 -0.702919 -0.633203 0.323972 0.613609 0.629684 +-0.337312 0.305082 -0.487621 -0.679453 -0.611339 0.405720 0.602910 0.613248 +-0.355280 0.307759 -0.513678 -0.679453 -0.611339 0.405720 0.613609 0.629684 +-0.321012 0.269870 -0.513381 -0.679453 -0.611339 0.405720 0.610193 0.584954 +-0.281603 0.271164 -0.495410 0.295102 -0.708753 0.640769 0.581628 0.327699 +-0.246942 0.267732 -0.515169 0.295102 -0.708753 0.640769 0.547875 0.344592 +-0.284307 0.300945 -0.461224 0.295102 -0.708753 0.640769 0.594003 0.343239 +-0.237075 0.304912 -0.487034 0.416879 -0.616251 0.668166 0.550861 0.371195 +-0.284307 0.300945 -0.461224 0.416879 -0.616251 0.668166 0.594003 0.343239 +-0.246942 0.267732 -0.515169 0.416879 -0.616251 0.668166 0.547875 0.344592 +-0.220666 0.278731 -0.594124 0.658786 -0.466744 -0.590044 0.621066 0.435383 +-0.232977 0.284542 -0.612466 0.658786 -0.466744 -0.590044 0.634570 0.432006 +-0.198140 0.314314 -0.597121 0.658786 -0.466744 -0.590044 0.611612 0.467960 +-0.215880 0.327812 -0.635772 0.679384 -0.537498 -0.499532 0.632764 0.466020 +-0.198140 0.314314 -0.597121 0.679384 -0.537498 -0.499532 0.611612 0.467960 +-0.232977 0.284542 -0.612466 0.679384 -0.537498 -0.499532 0.634570 0.432006 +-0.324506 0.280399 -0.588902 -0.883081 -0.422786 -0.203518 0.607086 0.592236 +-0.328640 0.275564 -0.560920 -0.883081 -0.422786 -0.203518 0.612373 0.593792 +-0.343097 0.315867 -0.581915 -0.883081 -0.422786 -0.203518 0.601212 0.622591 +-0.348767 0.311345 -0.549903 -0.877926 -0.427371 -0.215869 0.607369 0.625586 +-0.343097 0.315867 -0.581915 -0.877926 -0.427371 -0.215869 0.601212 0.622591 +-0.328640 0.275564 -0.560920 -0.877926 -0.427371 -0.215869 0.612373 0.593792 +-0.218390 0.270212 -0.549998 0.863315 -0.485364 -0.138234 0.616111 0.431755 +-0.220666 0.278731 -0.594124 0.863315 -0.485364 -0.138234 0.621066 0.435383 +-0.196859 0.303928 -0.533913 0.863315 -0.485364 -0.138234 0.606978 0.462724 +-0.198140 0.314314 -0.597121 0.836185 -0.538227 -0.105385 0.611612 0.467960 +-0.196859 0.303928 -0.533913 0.836185 -0.538227 -0.105385 0.606978 0.462724 +-0.220666 0.278731 -0.594124 0.836185 -0.538227 -0.105385 0.621066 0.435383 +-0.232977 0.284542 -0.612466 0.351829 -0.547833 -0.759010 0.634570 0.432006 +-0.256416 0.286227 -0.624547 0.351829 -0.547833 -0.759010 0.657186 0.420219 +-0.215880 0.327812 -0.635772 0.351829 -0.547833 -0.759010 0.632764 0.466020 +-0.249547 0.327400 -0.643542 0.207234 -0.438115 -0.874705 0.664313 0.447472 +-0.215880 0.327812 -0.635772 0.207234 -0.438115 -0.874705 0.632764 0.466020 +-0.256416 0.286227 -0.624547 0.207234 -0.438115 -0.874705 0.657186 0.420219 +-0.336374 0.079227 -0.647740 -0.834867 0.442302 -0.327666 0.601783 0.361866 +-0.321164 0.079581 -0.686016 -0.834867 0.442302 -0.327666 0.587585 0.370341 +-0.346166 0.040982 -0.674416 -0.834867 0.442302 -0.327666 0.598373 0.334695 +-0.326741 0.044831 -0.712820 -0.825378 0.421871 -0.375201 0.581363 0.347459 +-0.346166 0.040982 -0.674416 -0.825378 0.421871 -0.375201 0.598373 0.334695 +-0.321164 0.079581 -0.686016 -0.825378 0.421871 -0.375201 0.587585 0.370341 +-0.314000 0.068947 -0.565151 -0.855325 -0.267090 0.443940 0.577332 0.368164 +-0.335166 0.075203 -0.602167 -0.855325 -0.267090 0.443940 0.599318 0.360224 +-0.318030 0.032404 -0.594901 -0.855325 -0.267090 0.443940 0.569062 0.345099 +-0.342440 0.037392 -0.630348 -0.815426 -0.236809 0.528207 0.593682 0.334671 +-0.318030 0.032404 -0.594901 -0.815426 -0.236809 0.528207 0.569062 0.345099 +-0.335166 0.075203 -0.602167 -0.815426 -0.236809 0.528207 0.599318 0.360224 +-0.242148 0.068614 -0.565654 0.275652 -0.588237 0.760258 0.509600 0.407056 +-0.278717 0.063563 -0.556303 0.275652 -0.588237 0.760258 0.542350 0.384280 +-0.236572 0.032914 -0.595298 0.275652 -0.588237 0.760258 0.492567 0.389698 +-0.278297 0.034141 -0.578394 0.293700 -0.571261 0.766421 0.532242 0.367703 +-0.236572 0.032914 -0.595298 0.293700 -0.571261 0.766421 0.492567 0.389698 +-0.278717 0.063563 -0.556303 0.293700 -0.571261 0.766421 0.542350 0.384280 +-0.209417 0.081436 -0.666078 0.970028 0.208635 0.124570 0.545349 0.328812 +-0.214653 0.076848 -0.617621 0.970028 0.208635 0.124570 0.548763 0.323342 +-0.197789 0.037944 -0.683783 0.970028 0.208635 0.124570 0.520048 0.310295 +-0.210457 0.037344 -0.628753 0.973631 0.040134 0.224569 0.531773 0.303062 +-0.197789 0.037944 -0.683783 0.973631 0.040134 0.224569 0.520048 0.310295 +-0.214653 0.076848 -0.617621 0.973631 0.040134 0.224569 0.548763 0.323342 +-0.291303 0.077706 -0.704382 -0.092959 0.596155 -0.797470 0.558863 0.385512 +-0.274078 0.077441 -0.706588 -0.092959 0.596155 -0.797470 0.542564 0.394730 +-0.292682 0.046478 -0.727566 -0.092959 0.596155 -0.797470 0.549852 0.366925 +-0.273287 0.043570 -0.721296 0.335636 0.381784 -0.861156 0.530639 0.375814 +-0.292682 0.046478 -0.727566 0.335636 0.381784 -0.861156 0.549852 0.366925 +-0.274078 0.077441 -0.706588 0.335636 0.381784 -0.861156 0.542564 0.394730 +-0.321164 0.079581 -0.686016 -0.391162 0.600633 -0.697303 0.587585 0.370341 +-0.291303 0.077706 -0.704382 -0.391162 0.600633 -0.697303 0.558863 0.385512 +-0.326741 0.044831 -0.712820 -0.391162 0.600633 -0.697303 0.581363 0.347459 +-0.292682 0.046478 -0.727566 -0.349903 0.568323 -0.744699 0.549852 0.366925 +-0.326741 0.044831 -0.712820 -0.349903 0.568323 -0.744699 0.581363 0.347459 +-0.291303 0.077706 -0.704382 -0.349903 0.568323 -0.744699 0.558863 0.385512 +-0.278717 0.063563 -0.556303 -0.280350 -0.578903 0.765686 0.542350 0.384280 +-0.314000 0.068947 -0.565151 -0.280350 -0.578903 0.765686 0.577332 0.368164 +-0.278297 0.034141 -0.578394 -0.280350 -0.578903 0.765686 0.532242 0.367703 +-0.318030 0.032404 -0.594901 -0.289224 -0.584978 0.757727 0.569062 0.345099 +-0.278297 0.034141 -0.578394 -0.289224 -0.584978 0.757727 0.532242 0.367703 +-0.314000 0.068947 -0.565151 -0.289224 -0.584978 0.757727 0.577332 0.368164 +-0.214653 0.076848 -0.617621 0.885692 -0.036352 0.462847 0.548763 0.323342 +-0.242148 0.068614 -0.565654 0.885692 -0.036352 0.462847 0.509600 0.407056 +-0.210457 0.037344 -0.628753 0.885692 -0.036352 0.462847 0.531773 0.303062 +-0.236572 0.032914 -0.595298 0.763020 -0.338212 0.550829 0.492567 0.389698 +-0.210457 0.037344 -0.628753 0.763020 -0.338212 0.550829 0.531773 0.303062 +-0.242148 0.068614 -0.565654 0.763020 -0.338212 0.550829 0.509600 0.407056 +-0.255760 0.077899 -0.710602 0.231108 0.576159 -0.783984 0.525476 0.404956 +-0.227787 0.078069 -0.702231 0.231108 0.576159 -0.783984 0.561526 0.316896 +-0.253455 0.046138 -0.733264 0.231108 0.576159 -0.783984 0.512822 0.388068 +-0.218227 0.045825 -0.725212 0.182370 0.605945 -0.774320 0.479564 0.407051 +-0.253455 0.046138 -0.733264 0.182370 0.605945 -0.774320 0.512822 0.388068 +-0.227787 0.078069 -0.702231 0.182370 0.605945 -0.774320 0.561526 0.316896 +-0.335166 0.075203 -0.602167 -0.986337 0.159750 0.040251 0.599318 0.360224 +-0.336374 0.079227 -0.647740 -0.986337 0.159750 0.040251 0.601783 0.361866 +-0.342440 0.037392 -0.630348 -0.986337 0.159750 0.040251 0.593682 0.334671 +-0.346166 0.040982 -0.674416 -0.978364 0.182429 0.097584 0.598373 0.334695 +-0.342440 0.037392 -0.630348 -0.978364 0.182429 0.097584 0.593682 0.334671 +-0.336374 0.079227 -0.647740 -0.978364 0.182429 0.097584 0.601783 0.361866 +-0.227787 0.078069 -0.702231 0.739839 0.521929 -0.424534 0.561526 0.316896 +-0.209417 0.081436 -0.666078 0.739839 0.521929 -0.424534 0.545349 0.328812 +-0.218227 0.045825 -0.725212 0.739839 0.521929 -0.424534 0.479564 0.407051 +-0.197789 0.037944 -0.683783 0.858293 0.372959 -0.352471 0.520048 0.310295 +-0.218227 0.045825 -0.725212 0.858293 0.372959 -0.352471 0.479564 0.407051 +-0.209417 0.081436 -0.666078 0.858293 0.372959 -0.352471 0.545349 0.328812 +-0.274078 0.077441 -0.706588 -0.206684 0.385640 -0.899202 0.542564 0.394730 +-0.255760 0.077899 -0.710602 -0.206684 0.385640 -0.899202 0.525476 0.404956 +-0.273287 0.043570 -0.721296 -0.206684 0.385640 -0.899202 0.530639 0.375814 +-0.253455 0.046138 -0.733264 -0.498109 0.479397 -0.722542 0.512822 0.388068 +-0.273287 0.043570 -0.721296 -0.498109 0.479397 -0.722542 0.530639 0.375814 +-0.255760 0.077899 -0.710602 -0.498109 0.479397 -0.722542 0.525476 0.404956 +-0.327569 0.112006 -0.625240 -0.837834 0.443536 -0.318291 0.604317 0.385378 +-0.314822 0.112631 -0.657923 -0.837834 0.443536 -0.318291 0.592527 0.392668 +-0.336374 0.079227 -0.647740 -0.837834 0.443536 -0.318291 0.601783 0.361866 +-0.321164 0.079581 -0.686016 -0.836166 0.439436 -0.328209 0.587585 0.370341 +-0.336374 0.079227 -0.647740 -0.836166 0.439436 -0.328209 0.601783 0.361866 +-0.314822 0.112631 -0.657923 -0.836166 0.439436 -0.328209 0.592527 0.392668 +-0.308093 0.092604 -0.551433 -0.868998 -0.067281 0.490221 0.579582 0.384889 +-0.330532 0.108363 -0.589047 -0.868998 -0.067281 0.490221 0.605903 0.381685 +-0.314000 0.068947 -0.565151 -0.868998 -0.067281 0.490221 0.577332 0.368164 +-0.335166 0.075203 -0.602167 -0.871031 -0.070616 0.486126 0.599318 0.360224 +-0.314000 0.068947 -0.565151 -0.871031 -0.070616 0.486126 0.577332 0.368164 +-0.330532 0.108363 -0.589047 -0.871031 -0.070616 0.486126 0.605903 0.381685 +-0.247016 0.092951 -0.552736 0.593623 -0.281441 0.753925 0.522216 0.418309 +-0.279132 0.087386 -0.529526 0.593623 -0.281441 0.753925 0.550604 0.397662 +-0.242148 0.068614 -0.565654 0.593623 -0.281441 0.753925 0.509600 0.407056 +-0.278717 0.063563 -0.556303 0.263787 -0.718620 0.643430 0.542350 0.384280 +-0.242148 0.068614 -0.565654 0.263787 -0.718620 0.643430 0.509600 0.407056 +-0.279132 0.087386 -0.529526 0.263787 -0.718620 0.643430 0.550604 0.397662 +-0.222420 0.114268 -0.652138 0.924390 0.380034 -0.032815 0.568425 0.340491 +-0.219397 0.110780 -0.607375 0.924390 0.380034 -0.032815 0.564429 0.340144 +-0.209417 0.081436 -0.666078 0.924390 0.380034 -0.032815 0.545349 0.328812 +-0.214653 0.076848 -0.617621 0.987844 0.102935 0.116487 0.548763 0.323342 +-0.209417 0.081436 -0.666078 0.987844 0.102935 0.116487 0.545349 0.328812 +-0.219397 0.110780 -0.607375 0.987844 0.102935 0.116487 0.564429 0.340144 +-0.291509 0.113187 -0.674280 -0.144398 0.639671 -0.754963 0.570770 0.405666 +-0.273588 0.111205 -0.679387 -0.144398 0.639671 -0.754963 0.553249 0.414282 +-0.291303 0.077706 -0.704382 -0.144398 0.639671 -0.754963 0.558863 0.385512 +-0.274078 0.077441 -0.706588 -0.089622 0.625624 -0.774959 0.542564 0.394730 +-0.291303 0.077706 -0.704382 -0.089622 0.625624 -0.774959 0.558863 0.385512 +-0.273588 0.111205 -0.679387 -0.089622 0.625624 -0.774959 0.553249 0.414282 +-0.314822 0.112631 -0.657923 -0.458263 0.625060 -0.631898 0.592527 0.392668 +-0.291509 0.113187 -0.674280 -0.458263 0.625060 -0.631898 0.570770 0.405666 +-0.321164 0.079581 -0.686016 -0.458263 0.625060 -0.631898 0.587585 0.370341 +-0.291303 0.077706 -0.704382 -0.394427 0.593157 -0.701849 0.558863 0.385512 +-0.321164 0.079581 -0.686016 -0.394427 0.593157 -0.701849 0.587585 0.370341 +-0.291509 0.113187 -0.674280 -0.394427 0.593157 -0.701849 0.570770 0.405666 +-0.279132 0.087386 -0.529526 -0.535525 -0.635058 0.556699 0.550604 0.397662 +-0.308093 0.092604 -0.551433 -0.535525 -0.635058 0.556699 0.579582 0.384889 +-0.278717 0.063563 -0.556303 -0.535525 -0.635058 0.556699 0.542350 0.384280 +-0.314000 0.068947 -0.565151 -0.280741 -0.428037 0.859051 0.577332 0.368164 +-0.278717 0.063563 -0.556303 -0.280741 -0.428037 0.859051 0.542350 0.384280 +-0.308093 0.092604 -0.551433 -0.280741 -0.428037 0.859051 0.579582 0.384889 +-0.219397 0.110780 -0.607375 0.893780 -0.010434 0.448384 0.564429 0.340144 +-0.247016 0.092951 -0.552736 0.893780 -0.010434 0.448384 0.522216 0.418309 +-0.214653 0.076848 -0.617621 0.893780 -0.010434 0.448384 0.548763 0.323342 +-0.242148 0.068614 -0.565654 0.886265 -0.066065 0.458442 0.509600 0.407056 +-0.214653 0.076848 -0.617621 0.886265 -0.066065 0.458442 0.548763 0.323342 +-0.247016 0.092951 -0.552736 0.886265 -0.066065 0.458442 0.522216 0.418309 +-0.257647 0.108988 -0.677363 0.188742 0.722529 -0.665078 0.599835 0.318315 +-0.233185 0.111233 -0.667982 0.188742 0.722529 -0.665078 0.577554 0.332903 +-0.255760 0.077899 -0.710602 0.188742 0.722529 -0.665078 0.525476 0.404956 +-0.227787 0.078069 -0.702231 0.195002 0.719784 -0.666247 0.561526 0.316896 +-0.255760 0.077899 -0.710602 0.195002 0.719784 -0.666247 0.525476 0.404956 +-0.233185 0.111233 -0.667982 0.195002 0.719784 -0.666247 0.577554 0.332903 +-0.330532 0.108363 -0.589047 -0.984538 0.162985 -0.064196 0.605903 0.381685 +-0.327569 0.112006 -0.625240 -0.984538 0.162985 -0.064196 0.604317 0.385378 +-0.335166 0.075203 -0.602167 -0.984538 0.162985 -0.064196 0.599318 0.360224 +-0.336374 0.079227 -0.647740 -0.972207 0.229550 0.046039 0.601783 0.361866 +-0.335166 0.075203 -0.602167 -0.972207 0.229550 0.046039 0.599318 0.360224 +-0.327569 0.112006 -0.625240 -0.972207 0.229550 0.046039 0.604317 0.385378 +-0.233185 0.111233 -0.667982 0.582620 0.627835 -0.516118 0.577554 0.332903 +-0.222420 0.114268 -0.652138 0.582620 0.627835 -0.516118 0.568425 0.340491 +-0.227787 0.078069 -0.702231 0.582620 0.627835 -0.516118 0.561526 0.316896 +-0.209417 0.081436 -0.666078 0.760786 0.484601 -0.431701 0.545349 0.328812 +-0.227787 0.078069 -0.702231 0.760786 0.484601 -0.431701 0.561526 0.316896 +-0.222420 0.114268 -0.652138 0.760786 0.484601 -0.431701 0.568425 0.340491 +-0.273588 0.111205 -0.679387 0.182924 0.615164 -0.766885 0.553249 0.414282 +-0.257647 0.108988 -0.677363 0.182924 0.615164 -0.766885 0.599835 0.318315 +-0.274078 0.077441 -0.706588 0.182924 0.615164 -0.766885 0.542564 0.394730 +-0.255760 0.077899 -0.710602 -0.166583 0.715392 -0.678575 0.525476 0.404956 +-0.274078 0.077441 -0.706588 -0.166583 0.715392 -0.678575 0.542564 0.394730 +-0.257647 0.108988 -0.677363 -0.166583 0.715392 -0.678575 0.599835 0.318315 +-0.348796 0.000013 -0.704774 -0.000597 -0.999998 0.002011 0.587324 0.309864 +-0.332202 -0.000057 -0.734652 -0.000597 -0.999998 0.002011 0.571684 0.318850 +-0.349110 0.000113 -0.655147 -0.000597 -0.999998 0.002011 0.587652 0.309750 +-0.335244 0.000015 -0.615850 0.001307 -0.999995 -0.002955 0.574571 0.317236 +-0.349110 0.000113 -0.655147 0.001307 -0.999995 -0.002955 0.587652 0.309750 +-0.278199 0.000015 -0.590617 0.001307 -0.999995 -0.002955 0.520884 0.348265 +-0.222624 0.000015 -0.608680 0.000000 -1.000000 0.000000 0.468580 0.378494 +-0.278199 0.000015 -0.590617 0.000000 -1.000000 0.000000 0.520884 0.348265 +-0.200394 0.000015 -0.636211 0.000000 -1.000000 0.000000 0.447659 0.390585 +-0.278199 0.000015 -0.590617 -0.000541 -0.999999 -0.000924 0.520884 0.348265 +-0.349110 0.000113 -0.655147 -0.000541 -0.999999 -0.000924 0.587652 0.309750 +-0.200394 0.000015 -0.636211 -0.000541 -0.999999 -0.000924 0.447659 0.390585 +-0.189201 0.000015 -0.700580 0.000000 -1.000000 0.000000 0.437125 0.396674 +-0.208629 0.000015 -0.741017 0.000000 -1.000000 0.000000 0.455409 0.386106 +-0.248955 0.000014 -0.755402 -0.000273 -1.000000 0.000835 0.493361 0.364171 +-0.208629 0.000015 -0.741017 -0.000273 -1.000000 0.000835 0.455409 0.386106 +-0.272467 0.000037 -0.735551 -0.000273 -1.000000 0.000835 0.515496 0.351395 +-0.208629 0.000015 -0.741017 -0.000342 -1.000000 0.000027 0.455409 0.386106 +-0.200394 0.000015 -0.636211 -0.000342 -1.000000 0.000027 0.447659 0.390585 +-0.272467 0.000037 -0.735551 -0.000342 -1.000000 0.000027 0.515496 0.351395 +-0.200394 0.000015 -0.636211 -0.000695 -1.000000 0.000283 0.447659 0.390585 +-0.349110 0.000113 -0.655147 -0.000695 -1.000000 0.000283 0.587652 0.309750 +-0.272467 0.000037 -0.735551 -0.000695 -1.000000 0.000283 0.515496 0.351395 +-0.349110 0.000113 -0.655147 0.001611 -0.999996 0.002481 0.587652 0.309750 +-0.332202 -0.000057 -0.734652 0.001611 -0.999996 0.002481 0.571684 0.318850 +-0.272467 0.000037 -0.735551 0.001611 -0.999996 0.002481 0.515496 0.351395 +-0.272467 0.000037 -0.735551 0.001591 -0.999998 0.001131 0.515496 0.351395 +-0.332202 -0.000057 -0.734652 0.001591 -0.999998 0.001131 0.571684 0.318850 +-0.295178 -0.000018 -0.752239 0.001591 -0.999998 0.001131 0.536852 0.339011 +-0.318454 0.149689 -0.607310 -0.870698 0.366605 -0.327850 0.608179 0.411859 +-0.309583 0.151638 -0.628690 -0.870698 0.366605 -0.327850 0.600473 0.417797 +-0.327569 0.112006 -0.625240 -0.870698 0.366605 -0.327850 0.604317 0.385378 +-0.314822 0.112631 -0.657923 -0.869470 0.365676 -0.332118 0.592527 0.392668 +-0.327569 0.112006 -0.625240 -0.869470 0.365676 -0.332118 0.604317 0.385378 +-0.309583 0.151638 -0.628690 -0.869470 0.365676 -0.332118 0.600473 0.417797 +-0.303818 0.141994 -0.553183 -0.819329 0.090975 0.566059 0.591864 0.415425 +-0.321219 0.146115 -0.579032 -0.819329 0.090975 0.566059 0.609601 0.408314 +-0.308093 0.092604 -0.551433 -0.819329 0.090975 0.566059 0.579582 0.384889 +-0.330532 0.108363 -0.589047 -0.844216 0.067188 0.531775 0.605903 0.381685 +-0.308093 0.092604 -0.551433 -0.844216 0.067188 0.531775 0.579582 0.384889 +-0.321219 0.146115 -0.579032 -0.844216 0.067188 0.531775 0.609601 0.408314 +-0.249190 0.142483 -0.549680 0.302375 -0.045471 0.952104 0.602933 0.342046 +-0.279028 0.138857 -0.540377 0.302375 -0.045471 0.952104 0.567497 0.427117 +-0.247016 0.092951 -0.552736 0.302375 -0.045471 0.952104 0.522216 0.418309 +-0.279132 0.087386 -0.529526 0.557662 0.170151 0.812442 0.550604 0.397662 +-0.247016 0.092951 -0.552736 0.557662 0.170151 0.812442 0.522216 0.418309 +-0.279028 0.138857 -0.540377 0.557662 0.170151 0.812442 0.567497 0.427117 +-0.232306 0.151996 -0.634170 0.958450 0.279139 -0.058779 0.590183 0.356664 +-0.229231 0.149052 -0.598010 0.958450 0.279139 -0.058779 0.586318 0.356654 +-0.222420 0.114268 -0.652138 0.958450 0.279139 -0.058779 0.568425 0.340491 +-0.219397 0.110780 -0.607375 0.964849 0.258926 -0.044984 0.564429 0.340144 +-0.222420 0.114268 -0.652138 0.964849 0.258926 -0.044984 0.568425 0.340491 +-0.229231 0.149052 -0.598010 0.964849 0.258926 -0.044984 0.586318 0.356654 +-0.294872 0.153510 -0.646012 -0.304561 0.529601 -0.791685 0.587246 0.426868 +-0.273842 0.155062 -0.653064 -0.304561 0.529601 -0.791685 0.630286 0.335822 +-0.291509 0.113187 -0.674280 -0.304561 0.529601 -0.791685 0.570770 0.405666 +-0.273588 0.111205 -0.679387 -0.184431 0.505008 -0.843180 0.553249 0.414282 +-0.291509 0.113187 -0.674280 -0.184431 0.505008 -0.843180 0.570770 0.405666 +-0.273842 0.155062 -0.653064 -0.184431 0.505008 -0.843180 0.630286 0.335822 +-0.309583 0.151638 -0.628690 -0.689292 0.491483 -0.532279 0.600473 0.417797 +-0.294872 0.153510 -0.646012 -0.689292 0.491483 -0.532279 0.587246 0.426868 +-0.314822 0.112631 -0.657923 -0.689292 0.491483 -0.532279 0.592527 0.392668 +-0.291509 0.113187 -0.674280 -0.516697 0.462158 -0.720718 0.570770 0.405666 +-0.314822 0.112631 -0.657923 -0.516697 0.462158 -0.720718 0.592527 0.392668 +-0.294872 0.153510 -0.646012 -0.516697 0.462158 -0.720718 0.587246 0.426868 +-0.279028 0.138857 -0.540377 -0.432106 0.186868 0.882250 0.567497 0.427117 +-0.303818 0.141994 -0.553183 -0.432106 0.186868 0.882250 0.591864 0.415425 +-0.279132 0.087386 -0.529526 -0.432106 0.186868 0.882250 0.550604 0.397662 +-0.308093 0.092604 -0.551433 -0.592191 0.079669 0.801850 0.579582 0.384889 +-0.279132 0.087386 -0.529526 -0.592191 0.079669 0.801850 0.550604 0.397662 +-0.303818 0.141994 -0.553183 -0.592191 0.079669 0.801850 0.591864 0.415425 +-0.229231 0.149052 -0.598010 0.908839 0.137125 0.393964 0.586318 0.356654 +-0.249190 0.142483 -0.549680 0.908839 0.137125 0.393964 0.602933 0.342046 +-0.219397 0.110780 -0.607375 0.908839 0.137125 0.393964 0.564429 0.340144 +-0.247016 0.092951 -0.552736 0.890945 0.011095 0.453976 0.522216 0.418309 +-0.219397 0.110780 -0.607375 0.890945 0.011095 0.453976 0.564429 0.340144 +-0.249190 0.142483 -0.549680 0.890945 0.011095 0.453976 0.602933 0.342046 +-0.256660 0.154840 -0.650004 0.340498 0.476363 -0.810641 0.614043 0.345041 +-0.241496 0.153820 -0.644234 0.340498 0.476363 -0.810641 0.599434 0.352707 +-0.257647 0.108988 -0.677363 0.340498 0.476363 -0.810641 0.599835 0.318315 +-0.233185 0.111233 -0.667982 0.267216 0.508574 -0.818504 0.577554 0.332903 +-0.257647 0.108988 -0.677363 0.267216 0.508574 -0.818504 0.599835 0.318315 +-0.241496 0.153820 -0.644234 0.267216 0.508574 -0.818504 0.599434 0.352707 +-0.321219 0.146115 -0.579032 -0.965054 0.254566 -0.062188 0.609601 0.408314 +-0.318454 0.149689 -0.607310 -0.965054 0.254566 -0.062188 0.608179 0.411859 +-0.330532 0.108363 -0.589047 -0.965054 0.254566 -0.062188 0.605903 0.381685 +-0.327569 0.112006 -0.625240 -0.964558 0.258506 -0.052945 0.604317 0.385378 +-0.330532 0.108363 -0.589047 -0.964558 0.258506 -0.052945 0.605903 0.381685 +-0.318454 0.149689 -0.607310 -0.964558 0.258506 -0.052945 0.608179 0.411859 +-0.241496 0.153820 -0.644234 0.699322 0.447362 -0.557509 0.599434 0.352707 +-0.232306 0.151996 -0.634170 0.699322 0.447362 -0.557509 0.590183 0.356664 +-0.233185 0.111233 -0.667982 0.699322 0.447362 -0.557509 0.577554 0.332903 +-0.222420 0.114268 -0.652138 0.696756 0.448992 -0.559408 0.568425 0.340491 +-0.233185 0.111233 -0.667982 0.696756 0.448992 -0.559408 0.577554 0.332903 +-0.232306 0.151996 -0.634170 0.696756 0.448992 -0.559408 0.590183 0.356664 +-0.273842 0.155062 -0.653064 0.157302 0.508884 -0.846341 0.630286 0.335822 +-0.256660 0.154840 -0.650004 0.157302 0.508884 -0.846341 0.614043 0.345041 +-0.273588 0.111205 -0.679387 0.157302 0.508884 -0.846341 0.553249 0.414282 +-0.257647 0.108988 -0.677363 0.177261 0.501466 -0.846823 0.599835 0.318315 +-0.273588 0.111205 -0.679387 0.177261 0.501466 -0.846823 0.553249 0.414282 +-0.256660 0.154840 -0.650004 0.177261 0.501466 -0.846823 0.614043 0.345041 +-0.320785 0.245758 -0.569750 -0.958399 -0.189285 -0.213640 0.622536 0.574917 +-0.325592 0.241358 -0.544287 -0.958399 -0.189285 -0.213640 0.628050 0.577226 +-0.328640 0.275564 -0.560920 -0.958399 -0.189285 -0.213640 0.612373 0.593792 +-0.333531 0.271928 -0.536521 -0.956264 -0.192361 -0.220357 0.617547 0.596485 +-0.328640 0.275564 -0.560920 -0.956264 -0.192361 -0.220357 0.612373 0.593792 +-0.325592 0.241358 -0.544287 -0.956264 -0.192361 -0.220357 0.628050 0.577226 +-0.314774 0.238126 -0.524596 -0.439674 -0.374770 0.816232 0.622447 0.566669 +-0.281356 0.237638 -0.506819 -0.439674 -0.374770 0.816232 0.600221 0.537935 +-0.321012 0.269870 -0.513381 -0.439674 -0.374770 0.816232 0.610193 0.584954 +-0.281603 0.271164 -0.495410 -0.387702 -0.299521 0.871765 0.583014 0.551832 +-0.321012 0.269870 -0.513381 -0.387702 -0.299521 0.871765 0.610193 0.584954 +-0.281356 0.237638 -0.506819 -0.387702 -0.299521 0.871765 0.600221 0.537935 +-0.251681 0.238647 -0.526464 0.717655 -0.350601 0.601706 0.637022 0.395618 +-0.227821 0.242999 -0.552386 0.717655 -0.350601 0.601706 0.616004 0.411082 +-0.246942 0.267732 -0.515169 0.717655 -0.350601 0.601706 0.642165 0.414808 +-0.218390 0.270212 -0.549998 0.745909 -0.310224 0.589390 0.616111 0.431755 +-0.246942 0.267732 -0.515169 0.745909 -0.310224 0.589390 0.642165 0.414808 +-0.227821 0.242999 -0.552386 0.745909 -0.310224 0.589390 0.616004 0.411082 +-0.258925 0.262389 -0.626401 0.056873 0.071464 -0.995820 0.572306 0.528886 +-0.276371 0.261753 -0.627443 0.056873 0.071464 -0.995820 0.584371 0.543523 +-0.256416 0.286227 -0.624547 0.056873 0.071464 -0.995820 0.558265 0.536474 +-0.276764 0.286603 -0.624107 -0.018976 0.132734 -0.990970 0.571758 0.554003 +-0.256416 0.286227 -0.624547 -0.018976 0.132734 -0.990970 0.558265 0.536474 +-0.276371 0.261753 -0.627443 -0.018976 0.132734 -0.990970 0.584371 0.543523 +-0.276371 0.261753 -0.627443 -0.534598 0.104133 -0.838666 0.584371 0.543523 +-0.302528 0.254364 -0.611687 -0.534598 0.104133 -0.838666 0.605795 0.562841 +-0.276764 0.286603 -0.624107 -0.534598 0.104133 -0.838666 0.571758 0.554003 +-0.307727 0.283631 -0.608932 -0.440562 0.006241 -0.897700 0.594125 0.579228 +-0.276764 0.286603 -0.624107 -0.440562 0.006241 -0.897700 0.571758 0.554003 +-0.302528 0.254364 -0.611687 -0.440562 0.006241 -0.897700 0.605795 0.562841 +-0.302528 0.254364 -0.611687 -0.781564 -0.080608 -0.618595 0.605795 0.562841 +-0.316683 0.250336 -0.593278 -0.781564 -0.080608 -0.618595 0.617404 0.573284 +-0.307727 0.283631 -0.608932 -0.781564 -0.080608 -0.618595 0.594125 0.579228 +-0.324506 0.280399 -0.588902 -0.754425 -0.101932 -0.648424 0.607086 0.592236 +-0.307727 0.283631 -0.608932 -0.754425 -0.101932 -0.648424 0.594125 0.579228 +-0.316683 0.250336 -0.593278 -0.754425 -0.101932 -0.648424 0.617404 0.573284 +-0.325592 0.241358 -0.544287 -0.850159 -0.325851 0.413582 0.628050 0.577226 +-0.314774 0.238126 -0.524596 -0.850159 -0.325851 0.413582 0.622447 0.566669 +-0.333531 0.271928 -0.536521 -0.850159 -0.325851 0.413582 0.617547 0.596485 +-0.321012 0.269870 -0.513381 -0.845488 -0.317765 0.429157 0.610193 0.584954 +-0.333531 0.271928 -0.536521 -0.845488 -0.317765 0.429157 0.617547 0.596485 +-0.314774 0.238126 -0.524596 -0.845488 -0.317765 0.429157 0.622447 0.566669 +-0.281356 0.237638 -0.506819 0.538135 -0.267980 0.799123 0.664618 0.378900 +-0.251681 0.238647 -0.526464 0.538135 -0.267980 0.799123 0.637022 0.395618 +-0.281603 0.271164 -0.495410 0.538135 -0.267980 0.799123 0.675918 0.397915 +-0.246942 0.267732 -0.515169 0.427454 -0.386941 0.817043 0.642165 0.414808 +-0.281603 0.271164 -0.495410 0.427454 -0.386941 0.817043 0.675918 0.397915 +-0.251681 0.238647 -0.526464 0.427454 -0.386941 0.817043 0.637022 0.395618 +-0.229813 0.252879 -0.597061 0.779765 -0.208846 -0.590211 0.621140 0.415642 +-0.239402 0.258518 -0.611725 0.779765 -0.208846 -0.590211 0.632026 0.413647 +-0.220666 0.278731 -0.594124 0.779765 -0.208846 -0.590211 0.621066 0.435383 +-0.232977 0.284542 -0.612466 0.779933 -0.209350 -0.589811 0.634570 0.432006 +-0.220666 0.278731 -0.594124 0.779933 -0.209350 -0.589811 0.621066 0.435383 +-0.239402 0.258518 -0.611725 0.779933 -0.209350 -0.589811 0.632026 0.413647 +-0.316683 0.250336 -0.593278 -0.953454 -0.217745 -0.208598 0.617404 0.573284 +-0.320785 0.245758 -0.569750 -0.953454 -0.217745 -0.208598 0.622536 0.574917 +-0.324506 0.280399 -0.588902 -0.953454 -0.217745 -0.208598 0.607086 0.592236 +-0.328640 0.275564 -0.560920 -0.963359 -0.201409 -0.177126 0.612373 0.593792 +-0.324506 0.280399 -0.588902 -0.963359 -0.201409 -0.177126 0.607086 0.592236 +-0.320785 0.245758 -0.569750 -0.963359 -0.201409 -0.177126 0.622536 0.574917 +-0.227821 0.242999 -0.552386 0.941920 -0.316605 -0.112017 0.616004 0.411082 +-0.229813 0.252879 -0.597061 0.941920 -0.316605 -0.112017 0.621140 0.415642 +-0.218390 0.270212 -0.549998 0.941920 -0.316605 -0.112017 0.616111 0.431755 +-0.220666 0.278731 -0.594124 0.940846 -0.320352 -0.110376 0.621066 0.435383 +-0.218390 0.270212 -0.549998 0.940846 -0.320352 -0.110376 0.616111 0.431755 +-0.229813 0.252879 -0.597061 0.940846 -0.320352 -0.110376 0.621140 0.415642 +-0.239402 0.258518 -0.611725 0.571756 -0.164048 -0.803856 0.632026 0.413647 +-0.258925 0.262389 -0.626401 0.571756 -0.164048 -0.803856 0.651678 0.405239 +-0.232977 0.284542 -0.612466 0.571756 -0.164048 -0.803856 0.634570 0.432006 +-0.256416 0.286227 -0.624547 0.459227 0.020736 -0.888077 0.657186 0.420219 +-0.232977 0.284542 -0.612466 0.459227 0.020736 -0.888077 0.634570 0.432006 +-0.258925 0.262389 -0.626401 0.459227 0.020736 -0.888077 0.651678 0.405239 +-0.378254 1.055511 -0.754824 -0.769967 0.156372 -0.618626 0.393090 0.180450 +-0.298690 0.981866 -0.872468 -0.769967 0.156372 -0.618626 0.427720 0.273408 +-0.421764 0.935026 -0.731125 -0.769967 0.156372 -0.618626 0.305639 0.210568 +-0.327169 0.782242 -0.847824 -0.758418 0.027809 -0.651175 0.319011 0.353933 +-0.421764 0.935026 -0.731125 -0.758418 0.027809 -0.651175 0.305639 0.210568 +-0.298690 0.981866 -0.872468 -0.758418 0.027809 -0.651175 0.427720 0.273408 +-0.421764 0.935026 -0.731125 -0.926916 0.287227 -0.241510 0.305639 0.210568 +-0.441108 0.978452 -0.605236 -0.926916 0.287227 -0.241510 0.308097 0.175116 +-0.378254 1.055511 -0.754824 -0.926916 0.287227 -0.241510 0.393090 0.180450 +-0.417389 1.074460 -0.603646 -0.933403 0.235089 -0.271094 0.368695 0.143426 +-0.378254 1.055511 -0.754824 -0.933403 0.235089 -0.271094 0.393090 0.180450 +-0.441108 0.978452 -0.605236 -0.933403 0.235089 -0.271094 0.308097 0.175116 +-0.441108 0.978452 -0.605236 -0.969209 0.238426 0.061547 0.308097 0.175116 +-0.445104 0.928435 -0.474404 -0.969209 0.238426 0.061547 0.283463 0.197496 +-0.417389 1.074460 -0.603646 -0.969209 0.238426 0.061547 0.368695 0.143426 +-0.412246 1.047188 -0.462044 -0.962563 0.257532 0.084560 0.361339 0.160771 +-0.417389 1.074460 -0.603646 -0.962563 0.257532 0.084560 0.368695 0.143426 +-0.445104 0.928435 -0.474404 -0.962563 0.257532 0.084560 0.283463 0.197496 +-0.131915 0.497689 -0.528796 -0.760623 -0.641237 0.101328 0.459223 0.586707 +-0.130595 0.478463 -0.640556 -0.760623 -0.641237 0.101328 0.468298 0.577731 +-0.090468 0.448806 -0.527020 -0.760623 -0.641237 0.101328 0.456675 0.531360 +-0.072233 0.433957 -0.668912 -0.604639 -0.796479 0.005647 0.452105 0.509728 +-0.090468 0.448806 -0.527020 -0.604639 -0.796479 0.005647 0.456675 0.531360 +-0.130595 0.478463 -0.640556 -0.604639 -0.796479 0.005647 0.468298 0.577731 +-0.075642 0.462425 -0.735416 -0.418619 -0.842452 -0.339165 0.650431 0.481281 +0.000000 0.427930 -0.743096 -0.418619 -0.842452 -0.339165 0.584446 0.427203 +-0.072233 0.433957 -0.668912 -0.418619 -0.842452 -0.339165 0.654641 0.462608 +0.000000 0.406746 -0.682871 -0.386834 -0.869903 -0.305986 0.590100 0.414422 +-0.072233 0.433957 -0.668912 -0.386834 -0.869903 -0.305986 0.654641 0.462608 +0.000000 0.427930 -0.743096 -0.386834 -0.869903 -0.305986 0.584446 0.427203 +0.000000 0.424155 -0.433288 -0.486094 -0.814917 0.315632 0.408596 0.444048 +0.000000 0.450505 -0.365256 -0.486094 -0.814917 0.315632 0.394941 0.454805 +-0.122304 0.494920 -0.438939 -0.486094 -0.814917 0.315632 0.454193 0.577371 +-0.144773 0.521976 -0.369613 -0.438573 -0.876201 0.199813 0.455286 0.607602 +-0.122304 0.494920 -0.438939 -0.438573 -0.876201 0.199813 0.454193 0.577371 +0.000000 0.450505 -0.365256 -0.438573 -0.876201 0.199813 0.394941 0.454805 +-0.130595 0.478463 -0.640556 -0.610154 -0.792185 -0.012442 0.468298 0.577731 +-0.139670 0.486843 -0.729077 -0.610154 -0.792185 -0.012442 0.470060 0.588902 +-0.072233 0.433957 -0.668912 -0.610154 -0.792185 -0.012442 0.452105 0.509728 +-0.075642 0.462425 -0.735416 -0.363810 -0.862918 -0.350735 0.439645 0.524261 +-0.072233 0.433957 -0.668912 -0.363810 -0.862918 -0.350735 0.452105 0.509728 +-0.139670 0.486843 -0.729077 -0.363810 -0.862918 -0.350735 0.470060 0.588902 +-0.075642 0.462425 -0.735416 -0.359789 -0.835725 -0.414868 0.439645 0.524261 +-0.139670 0.486843 -0.729077 -0.359789 -0.835725 -0.414868 0.470060 0.588902 +-0.080293 0.503604 -0.814335 -0.359789 -0.835725 -0.414868 0.421434 0.545043 +-0.188531 0.548481 -0.803520 -0.382371 -0.819244 -0.427354 0.470985 0.655787 +-0.080293 0.503604 -0.814335 -0.382371 -0.819244 -0.427354 0.421434 0.545043 +-0.139670 0.486843 -0.729077 -0.382371 -0.819244 -0.427354 0.470060 0.588902 +-0.412246 1.047188 -0.462044 -0.933036 0.229308 0.277240 0.361339 0.160771 +-0.445104 0.928435 -0.474404 -0.933036 0.229308 0.277240 0.283463 0.197496 +-0.414880 0.913431 -0.360277 -0.933036 0.229308 0.277240 0.302147 0.226276 +-0.396773 0.803304 -0.408556 -0.943552 -0.250260 0.216978 0.270236 0.294448 +-0.414880 0.913431 -0.360277 -0.943552 -0.250260 0.216978 0.302147 0.226276 +-0.445104 0.928435 -0.474404 -0.943552 -0.250260 0.216978 0.283463 0.197496 +-0.218263 0.686509 -0.890110 -0.828036 -0.492752 -0.267490 0.223743 0.447517 +-0.255500 0.759849 -0.909942 -0.828036 -0.492752 -0.267490 0.244697 0.388017 +-0.198039 0.698088 -0.974045 -0.828036 -0.492752 -0.267490 0.241530 0.462525 +-0.186971 0.537279 -0.445619 -0.550036 -0.834484 0.033116 0.475741 0.649882 +-0.131915 0.497689 -0.528796 -0.550036 -0.834484 0.033116 0.459223 0.586707 +-0.122304 0.494920 -0.438939 -0.550036 -0.834484 0.033116 0.454193 0.577371 +-0.090468 0.448806 -0.527020 -0.762388 -0.644173 0.061693 0.456675 0.531360 +-0.122304 0.494920 -0.438939 -0.762388 -0.644173 0.061693 0.454193 0.577371 +-0.131915 0.497689 -0.528796 -0.762388 -0.644173 0.061693 0.459223 0.586707 +-0.338005 0.651199 -0.375625 -0.935522 -0.345383 0.074226 0.334485 0.448053 +-0.348259 0.682947 -0.357136 -0.935522 -0.345383 0.074226 0.319063 0.430023 +-0.396773 0.803304 -0.408556 -0.935522 -0.345383 0.074226 0.250366 0.363945 +-0.414880 0.913431 -0.360277 -0.929515 -0.265182 0.256281 0.215399 0.297289 +-0.396773 0.803304 -0.408556 -0.929515 -0.265182 0.256281 0.250366 0.363945 +-0.348259 0.682947 -0.357136 -0.929515 -0.265182 0.256281 0.319063 0.430023 +-0.229770 0.574212 -0.368127 -0.518484 -0.847000 0.117324 0.181596 0.515707 +-0.186971 0.537279 -0.445619 -0.518484 -0.847000 0.117324 0.225607 0.544361 +-0.144773 0.521976 -0.369613 -0.518484 -0.847000 0.117324 0.270317 0.558748 +-0.122304 0.494920 -0.438939 -0.552619 -0.821345 0.141441 0.292944 0.578825 +-0.144773 0.521976 -0.369613 -0.552619 -0.821345 0.141441 0.270317 0.558748 +-0.186971 0.537279 -0.445619 -0.552619 -0.821345 0.141441 0.225607 0.544361 +-0.348259 0.682947 -0.357136 -0.442712 -0.553714 0.705271 0.212072 0.536675 +-0.338005 0.651199 -0.375625 -0.442712 -0.553714 0.705271 0.234649 0.543965 +-0.229770 0.574212 -0.368127 -0.442712 -0.553714 0.705271 0.354496 0.498593 +-0.186971 0.537279 -0.445619 -0.581387 -0.810993 0.065421 0.404865 0.483729 +-0.229770 0.574212 -0.368127 -0.581387 -0.810993 0.065421 0.354496 0.498593 +-0.338005 0.651199 -0.375625 -0.581387 -0.810993 0.065421 0.234649 0.543965 +-0.110497 0.628471 0.357001 -0.466506 -0.730908 0.498142 0.422722 0.382681 +-0.219224 0.687039 0.341114 -0.466506 -0.730908 0.498142 0.310945 0.437152 +-0.157486 0.562074 0.215574 -0.466506 -0.730908 0.498142 0.416507 0.449680 +-0.317899 0.663393 0.220593 -0.447689 -0.734095 0.510568 0.244752 0.522982 +-0.157486 0.562074 0.215574 -0.447689 -0.734095 0.510568 0.416507 0.449680 +-0.219224 0.687039 0.341114 -0.447689 -0.734095 0.510568 0.310945 0.437152 +0.000000 0.606042 0.362368 -0.200478 -0.889305 0.411030 0.314338 0.518301 +-0.110497 0.628471 0.357001 -0.200478 -0.889305 0.411030 0.377042 0.621810 +0.000000 0.539160 0.217662 -0.200478 -0.889305 0.411030 0.348998 0.490997 +-0.157486 0.562074 0.215574 -0.133982 -0.879177 0.457271 0.443058 0.634827 +0.000000 0.539160 0.217662 -0.133982 -0.879177 0.457271 0.348998 0.490997 +-0.110497 0.628471 0.357001 -0.133982 -0.879177 0.457271 0.377042 0.621810 +-0.275470 0.839500 -0.919913 -0.677569 -0.256181 -0.689399 0.278809 0.342534 +-0.255500 0.759849 -0.909942 -0.677569 -0.256181 -0.689399 0.244697 0.388017 +-0.327169 0.782242 -0.847824 -0.677569 -0.256181 -0.689399 0.217647 0.313479 +-0.261458 0.936834 -0.950653 -0.903943 -0.004923 -0.427625 0.439420 0.322231 +-0.275470 0.839500 -0.919913 -0.903943 -0.004923 -0.427625 0.386311 0.361405 +-0.298690 0.981866 -0.872468 -0.903943 -0.004923 -0.427625 0.427720 0.273408 +-0.327169 0.782242 -0.847824 -0.829935 0.049807 -0.555632 0.319011 0.353933 +-0.298690 0.981866 -0.872468 -0.829935 0.049807 -0.555632 0.427720 0.273408 +-0.275470 0.839500 -0.919913 -0.829935 0.049807 -0.555632 0.386311 0.361405 +-0.327169 0.782242 -0.847824 -0.671045 -0.377414 -0.638167 0.217647 0.313479 +-0.255500 0.759849 -0.909942 -0.671045 -0.377414 -0.638167 0.244697 0.388017 +-0.271029 0.649493 -0.828348 -0.671045 -0.377414 -0.638167 0.173472 0.410651 +-0.218263 0.686509 -0.890110 -0.520632 -0.459009 -0.719898 0.223743 0.447517 +-0.271029 0.649493 -0.828348 -0.520632 -0.459009 -0.719898 0.173472 0.410651 +-0.255500 0.759849 -0.909942 -0.520632 -0.459009 -0.719898 0.244697 0.388017 +-0.327169 0.782242 -0.847824 -0.633308 -0.367732 -0.680950 0.327239 0.361105 +-0.271029 0.649493 -0.828348 -0.633308 -0.367732 -0.680950 0.405801 0.433366 +-0.368785 0.725018 -0.778217 -0.633308 -0.367732 -0.680950 0.291264 0.407766 +-0.294151 0.616429 -0.787640 -0.637302 -0.379838 -0.670499 0.385995 0.460109 +-0.368785 0.725018 -0.778217 -0.637302 -0.379838 -0.670499 0.291264 0.407766 +-0.271029 0.649493 -0.828348 -0.637302 -0.379838 -0.670499 0.405801 0.433366 +-0.188531 0.548481 -0.803520 -0.420386 -0.525196 -0.739895 0.398505 0.479599 +-0.271029 0.649493 -0.828348 -0.420386 -0.525196 -0.739895 0.287728 0.494122 +-0.130932 0.601270 -0.873717 -0.420386 -0.525196 -0.739895 0.419251 0.411024 +-0.218263 0.686509 -0.890110 -0.424088 -0.569860 -0.703853 0.311939 0.436676 +-0.130932 0.601270 -0.873717 -0.424088 -0.569860 -0.703853 0.419251 0.411024 +-0.271029 0.649493 -0.828348 -0.424088 -0.569860 -0.703853 0.287728 0.494122 +-0.130932 0.601270 -0.873717 -0.509345 -0.633799 -0.582123 0.223825 0.557852 +-0.218263 0.686509 -0.890110 -0.509345 -0.633799 -0.582123 0.223743 0.447517 +-0.106031 0.629367 -0.926096 -0.509345 -0.633799 -0.582123 0.253578 0.571671 +-0.198039 0.698088 -0.974045 -0.499855 -0.833499 -0.235422 0.241530 0.462525 +-0.106031 0.629367 -0.926096 -0.499855 -0.833499 -0.235422 0.253578 0.571671 +-0.218263 0.686509 -0.890110 -0.499855 -0.833499 -0.235422 0.223743 0.447517 +-0.081137 1.310106 0.746770 0.440612 0.835202 0.329087 0.411803 0.135337 +-0.083203 1.299486 0.776489 0.440612 0.835202 0.329087 0.409557 0.142343 +-0.049248 1.293766 0.745544 0.440612 0.835202 0.329087 0.446466 0.146116 +-0.031367 1.277087 0.777065 0.381270 0.888870 0.254053 0.465903 0.157120 +-0.049248 1.293766 0.745544 0.381270 0.888870 0.254053 0.446466 0.146116 +-0.083203 1.299486 0.776489 0.381270 0.888870 0.254053 0.409557 0.142343 +-0.015217 1.297518 1.584564 -0.784158 0.533666 0.316697 0.387162 0.221882 +0.000000 1.297518 1.622242 -0.784158 0.533666 0.316697 0.403704 0.221882 +-0.007202 1.309190 1.584741 -0.784158 0.533666 0.316697 0.395875 0.214182 +-0.007202 1.309190 1.584741 -0.525757 0.778319 0.343219 0.395875 0.214182 +0.000000 1.297518 1.622242 -0.525757 0.778319 0.343219 0.403704 0.221882 +0.000000 1.313976 1.584920 -0.525757 0.778319 0.343219 0.403704 0.211025 +0.000000 1.281061 1.584920 -0.525784 -0.778312 0.343194 0.403704 0.232739 +0.000000 1.297518 1.622242 -0.525784 -0.778312 0.343194 0.403704 0.221882 +-0.007202 1.285847 1.584740 -0.525784 -0.778312 0.343194 0.395875 0.229581 +-0.007202 1.285847 1.584740 -0.784129 -0.533716 0.316686 0.395875 0.229581 +0.000000 1.297518 1.622242 -0.784129 -0.533716 0.316686 0.403704 0.221882 +-0.015217 1.297518 1.584564 -0.784129 -0.533716 0.316686 0.387162 0.221882 +-0.028482 1.340985 0.725216 -0.460475 0.878512 0.127197 0.480220 0.288570 +-0.060854 1.324017 0.725216 -0.460475 0.878512 0.127197 0.450016 0.267327 +-0.027126 1.328997 0.812922 -0.460475 0.878512 0.127197 0.474816 0.294529 +-0.039245 1.297518 0.812922 -0.883965 0.340315 0.320612 0.450310 0.296606 +-0.027126 1.328997 0.812922 -0.883965 0.340315 0.320612 0.474816 0.294529 +-0.060854 1.324017 0.725216 -0.883965 0.340315 0.320612 0.450016 0.267327 +-0.028482 1.340985 0.725216 -0.019303 0.990563 0.135692 0.372744 0.193206 +-0.027126 1.328997 0.812922 -0.019303 0.990563 0.135692 0.374217 0.201115 +0.000000 1.341540 0.725216 -0.019303 0.990563 0.135692 0.403704 0.192840 +0.000000 1.340139 0.812923 -0.379906 0.924907 0.014774 0.403704 0.193764 +0.000000 1.341540 0.725216 -0.379906 0.924907 0.014774 0.403704 0.192840 +-0.027126 1.328997 0.812922 -0.379906 0.924907 0.014774 0.374217 0.201115 +0.000000 1.259705 0.777615 -0.518730 -0.848514 -0.104609 0.456262 0.345664 +0.000000 1.255352 0.812923 -0.518730 -0.848514 -0.104609 0.453976 0.347402 +-0.049248 1.293766 0.745544 -0.518730 -0.848514 -0.104609 0.441760 0.289446 +-0.029112 1.273484 0.812922 -0.526178 -0.844817 -0.097057 0.444352 0.314970 +-0.049248 1.293766 0.745544 -0.526178 -0.844817 -0.097057 0.441760 0.289446 +0.000000 1.255352 0.812923 -0.526178 -0.844817 -0.097057 0.453976 0.347402 +-0.049248 1.293766 0.745544 -0.951145 -0.217999 0.218629 0.441760 0.289446 +-0.029112 1.273484 0.812922 -0.951145 -0.217999 0.218629 0.444352 0.314970 +-0.060854 1.324017 0.725216 -0.951145 -0.217999 0.218629 0.450016 0.267327 +-0.039245 1.297518 0.812922 -0.915961 -0.386179 0.108996 0.450310 0.296606 +-0.060854 1.324017 0.725216 -0.915961 -0.386179 0.108996 0.450016 0.267327 +-0.029112 1.273484 0.812922 -0.915961 -0.386179 0.108996 0.444352 0.314970 +-0.029351 1.297518 1.253847 -0.911620 0.410721 0.016053 0.371799 0.221882 +-0.019217 1.320011 1.253847 -0.911620 0.410721 0.016053 0.382814 0.207043 +-0.030897 1.297518 1.166052 -0.911620 0.410721 0.016053 0.370118 0.221882 +-0.020764 1.321185 1.166052 -0.919074 0.393501 0.021456 0.381133 0.206269 +-0.030897 1.297518 1.166052 -0.919074 0.393501 0.021456 0.370118 0.221882 +-0.019217 1.320011 1.253847 -0.919074 0.393501 0.021456 0.382814 0.207043 +-0.019217 1.320011 1.253847 -0.370289 0.928723 0.018943 0.382814 0.207043 +0.000000 1.327673 1.253848 -0.370289 0.928723 0.018943 0.403704 0.201989 +-0.020764 1.321185 1.166052 -0.370289 0.928723 0.018943 0.381133 0.206269 +0.000000 1.330374 1.166052 -0.404528 0.914093 0.028122 0.403704 0.200207 +-0.020764 1.321185 1.166052 -0.404528 0.914093 0.028122 0.381133 0.206269 +0.000000 1.327673 1.253848 -0.404528 0.914093 0.028122 0.403704 0.201989 +0.000000 1.264209 1.253848 -0.490240 -0.871017 0.031529 0.403704 0.243856 +-0.019217 1.275025 1.253847 -0.490240 -0.871017 0.031529 0.382814 0.236720 +0.000000 1.261031 1.166052 -0.490240 -0.871017 0.031529 0.403704 0.245953 +-0.020764 1.273851 1.166052 -0.525238 -0.850705 0.020630 0.381133 0.237495 +0.000000 1.261031 1.166052 -0.525238 -0.850705 0.020630 0.403704 0.245953 +-0.019217 1.275025 1.253847 -0.525238 -0.850705 0.020630 0.382814 0.236720 +-0.019217 1.275025 1.253847 -0.911525 -0.410679 0.021553 0.382814 0.236720 +-0.029351 1.297518 1.253847 -0.911525 -0.410679 0.021553 0.371799 0.221882 +-0.020764 1.273851 1.166052 -0.911525 -0.410679 0.021553 0.381133 0.237495 +-0.030897 1.297518 1.166052 -0.919165 -0.393540 0.016186 0.370118 0.221882 +-0.020764 1.273851 1.166052 -0.919165 -0.393540 0.016186 0.381133 0.237495 +-0.029351 1.297518 1.253847 -0.919165 -0.393540 0.016186 0.371799 0.221882 +-0.022343 1.297518 1.519310 -0.850747 0.524454 0.034331 0.379416 0.221882 +-0.012210 1.313955 1.519316 -0.850747 0.524454 0.034331 0.390431 0.211038 +-0.025428 1.297518 1.442862 -0.850747 0.524454 0.034331 0.376063 0.221882 +-0.015295 1.316786 1.442862 -0.883833 0.464805 0.052875 0.387078 0.209170 +-0.025428 1.297518 1.442862 -0.883833 0.464805 0.052875 0.376063 0.221882 +-0.012210 1.313955 1.519316 -0.883833 0.464805 0.052875 0.390431 0.211038 +-0.012210 1.313955 1.519316 -0.486434 0.872173 0.051925 0.390431 0.211038 +0.000000 1.320764 1.519330 -0.486434 0.872173 0.051925 0.403704 0.206546 +-0.015295 1.316786 1.442862 -0.486434 0.872173 0.051925 0.387078 0.209170 +0.000000 1.324767 1.442863 -0.462114 0.885608 0.046362 0.403704 0.203905 +-0.015295 1.316786 1.442862 -0.462114 0.885608 0.046362 0.387078 0.209170 +0.000000 1.320764 1.519330 -0.462114 0.885608 0.046362 0.403704 0.206546 +0.000000 1.272790 1.519330 -0.561494 -0.826846 0.032418 0.403704 0.238195 +-0.012210 1.281081 1.519316 -0.561494 -0.826846 0.032418 0.390431 0.232726 +0.000000 1.269792 1.442863 -0.561494 -0.826846 0.032418 0.403704 0.240173 +-0.015295 1.278250 1.442862 -0.483279 -0.873929 0.051861 0.387078 0.234593 +0.000000 1.269792 1.442863 -0.483279 -0.873929 0.051861 0.403704 0.240173 +-0.012210 1.281081 1.519316 -0.483279 -0.873929 0.051861 0.390431 0.232726 +-0.012210 1.281081 1.519316 -0.850025 -0.523998 0.053702 0.390431 0.232726 +-0.022343 1.297518 1.519310 -0.850025 -0.523998 0.053702 0.379416 0.221882 +-0.015295 1.278250 1.442862 -0.850025 -0.523998 0.053702 0.387078 0.234593 +-0.025428 1.297518 1.442862 -0.884507 -0.465160 0.035694 0.376063 0.221882 +-0.015295 1.278250 1.442862 -0.884507 -0.465160 0.035694 0.387078 0.234593 +-0.022343 1.297518 1.519310 -0.884507 -0.465160 0.035694 0.379416 0.221882 +-0.033219 1.297518 1.075631 -0.926714 0.375675 0.008318 0.367594 0.221882 +-0.023086 1.322514 1.075631 -0.926714 0.375675 0.008318 0.378609 0.205391 +-0.033976 1.297518 0.991295 -0.926714 0.375675 0.008318 0.366771 0.221882 +-0.023843 1.322813 0.991295 -0.928244 0.371848 0.009650 0.377786 0.205194 +-0.033976 1.297518 0.991295 -0.928244 0.371848 0.009650 0.366771 0.221882 +-0.023086 1.322514 1.075631 -0.928244 0.371848 0.009650 0.378609 0.205391 +-0.023086 1.322514 1.075631 -0.422566 0.906305 0.007006 0.378609 0.205391 +0.000000 1.333278 1.075632 -0.422566 0.906305 0.007006 0.403704 0.198291 +-0.023843 1.322813 0.991295 -0.422566 0.906305 0.007006 0.377786 0.205194 +0.000000 1.334681 0.991296 -0.445557 0.895130 0.014892 0.403704 0.197365 +-0.023843 1.322813 0.991295 -0.445557 0.895130 0.014892 0.377786 0.205194 +0.000000 1.333278 1.075632 -0.445557 0.895130 0.014892 0.403704 0.198291 +0.000000 1.258652 1.075632 -0.514949 -0.857167 0.009584 0.403704 0.247522 +-0.023086 1.272521 1.075631 -0.514949 -0.857167 0.009584 0.378609 0.238372 +0.000000 1.257709 0.991296 -0.514949 -0.857167 0.009584 0.403704 0.248144 +-0.023843 1.272223 0.991295 -0.519954 -0.854160 0.007685 0.377786 0.238569 +0.000000 1.257709 0.991296 -0.519954 -0.854160 0.007685 0.403704 0.248144 +-0.023086 1.272521 1.075631 -0.519954 -0.854160 0.007685 0.378609 0.238372 +-0.023086 1.272521 1.075631 -0.926708 -0.375658 0.009646 0.378609 0.238372 +-0.033219 1.297518 1.075631 -0.926708 -0.375658 0.009646 0.367594 0.221882 +-0.023843 1.272223 0.991295 -0.926708 -0.375658 0.009646 0.377786 0.238569 +-0.033976 1.297518 0.991295 -0.928255 -0.371852 0.008332 0.366771 0.221882 +-0.023843 1.272223 0.991295 -0.928255 -0.371852 0.008332 0.377786 0.238569 +-0.033219 1.297518 1.075631 -0.928255 -0.371852 0.008332 0.367594 0.221882 +-0.025428 1.297518 1.442862 -0.884678 0.465250 0.029781 0.376063 0.221882 +-0.015295 1.316786 1.442862 -0.884678 0.465250 0.029781 0.387078 0.209170 +-0.028576 1.297518 1.349348 -0.884678 0.465250 0.029781 0.372641 0.221882 +-0.018443 1.318398 1.349348 -0.899013 0.436289 0.037784 0.383656 0.208107 +-0.028576 1.297518 1.349348 -0.899013 0.436289 0.037784 0.372641 0.221882 +-0.015295 1.316786 1.442862 -0.899013 0.436289 0.037784 0.387078 0.209170 +-0.015295 1.316786 1.442862 -0.462390 0.886140 0.030840 0.387078 0.209170 +0.000000 1.324767 1.442863 -0.462390 0.886140 0.030840 0.403704 0.203905 +-0.018443 1.318398 1.349348 -0.462390 0.886140 0.030840 0.383656 0.208107 +0.000000 1.327047 1.349349 -0.424486 0.905166 0.022069 0.403704 0.202402 +-0.018443 1.318398 1.349348 -0.424486 0.905166 0.022069 0.383656 0.208107 +0.000000 1.324767 1.442863 -0.424486 0.905166 0.022069 0.403704 0.203905 +0.000000 1.269792 1.442863 -0.483698 -0.874688 0.030941 0.403704 0.240173 +-0.015295 1.278250 1.442862 -0.483698 -0.874688 0.030941 0.387078 0.234593 +0.000000 1.266484 1.349350 -0.483698 -0.874688 0.030941 0.403704 0.242355 +-0.018443 1.276638 1.349348 -0.482062 -0.875577 0.031321 0.383656 0.235657 +0.000000 1.266484 1.349350 -0.482062 -0.875577 0.031321 0.403704 0.242355 +-0.015295 1.278250 1.442862 -0.482062 -0.875577 0.031321 0.387078 0.234593 +-0.015295 1.278250 1.442862 -0.884439 -0.465124 0.037791 0.387078 0.234593 +-0.025428 1.297518 1.442862 -0.884439 -0.465124 0.037791 0.376063 0.221882 +-0.018443 1.276638 1.349348 -0.884439 -0.465124 0.037791 0.383656 0.235657 +-0.028576 1.297518 1.349348 -0.899243 -0.436400 0.030272 0.372641 0.221882 +-0.018443 1.276638 1.349348 -0.899243 -0.436400 0.030272 0.383656 0.235657 +-0.025428 1.297518 1.442862 -0.899243 -0.436400 0.030272 0.376063 0.221882 +-0.028576 1.297518 1.349348 -0.899632 0.436589 0.007301 0.372641 0.221882 +-0.018443 1.318398 1.349348 -0.899632 0.436589 0.007301 0.383656 0.208107 +-0.029351 1.297518 1.253847 -0.899632 0.436589 0.007301 0.371799 0.221882 +-0.019217 1.320011 1.253847 -0.911644 0.410732 0.014326 0.382814 0.207043 +-0.029351 1.297518 1.253847 -0.911644 0.410732 0.014326 0.371799 0.221882 +-0.018443 1.318398 1.349348 -0.911644 0.410732 0.014326 0.383656 0.208107 +-0.018443 1.318398 1.349348 -0.424515 0.905227 0.018730 0.383656 0.208107 +0.000000 1.327047 1.349349 -0.424515 0.905227 0.018730 0.403704 0.202402 +-0.019217 1.320011 1.253847 -0.424515 0.905227 0.018730 0.382814 0.207043 +0.000000 1.327673 1.253848 -0.370348 0.928873 0.006088 0.403704 0.201989 +-0.019217 1.320011 1.253847 -0.370348 0.928873 0.006088 0.382814 0.207043 +0.000000 1.327047 1.349349 -0.370348 0.928873 0.006088 0.403704 0.202402 +0.000000 1.266484 1.349350 -0.482193 -0.875816 0.020863 0.403704 0.242355 +-0.018443 1.276638 1.349348 -0.482193 -0.875816 0.020863 0.383656 0.235657 +0.000000 1.264209 1.253848 -0.482193 -0.875816 0.020863 0.403704 0.243856 +-0.019217 1.275025 1.253847 -0.490397 -0.871298 0.018691 0.382814 0.236720 +0.000000 1.264209 1.253848 -0.490397 -0.871298 0.018691 0.403704 0.243856 +-0.018443 1.276638 1.349348 -0.490397 -0.871298 0.018691 0.383656 0.235657 +-0.018443 1.276638 1.349348 -0.899559 -0.436553 0.014664 0.383656 0.235657 +-0.028576 1.297518 1.349348 -0.899559 -0.436553 0.014664 0.372641 0.221882 +-0.019217 1.275025 1.253847 -0.899559 -0.436553 0.014664 0.382814 0.236720 +-0.029351 1.297518 1.253847 -0.911712 -0.410763 0.007399 0.371799 0.221882 +-0.019217 1.275025 1.253847 -0.911712 -0.410763 0.007399 0.382814 0.236720 +-0.028576 1.297518 1.349348 -0.911712 -0.410763 0.007399 0.372641 0.221882 +-0.030897 1.297518 1.166052 -0.919029 0.393482 0.023601 0.370118 0.221882 +-0.020764 1.321185 1.166052 -0.919029 0.393482 0.023601 0.381133 0.206269 +-0.033219 1.297518 1.075631 -0.919029 0.393482 0.023601 0.367594 0.221882 +-0.023086 1.322514 1.075631 -0.926348 0.375527 0.029308 0.378609 0.205391 +-0.033219 1.297518 1.075631 -0.926348 0.375527 0.029308 0.367594 0.221882 +-0.020764 1.321185 1.166052 -0.926348 0.375527 0.029308 0.381133 0.206269 +-0.020764 1.321185 1.166052 -0.404573 0.914195 0.023827 0.381133 0.206269 +0.000000 1.330374 1.166052 -0.404573 0.914195 0.023827 0.403704 0.200207 +-0.023086 1.322514 1.075631 -0.404573 0.914195 0.023827 0.378609 0.205391 +0.000000 1.333278 1.075632 -0.422399 0.905943 0.029095 0.403704 0.198291 +-0.023086 1.322514 1.075631 -0.422399 0.905943 0.029095 0.378609 0.205391 +0.000000 1.330374 1.166052 -0.422399 0.905943 0.029095 0.403704 0.200207 +0.000000 1.261031 1.166052 -0.525218 -0.850673 0.022382 0.403704 0.245953 +-0.020764 1.273851 1.166052 -0.525218 -0.850673 0.022382 0.381133 0.237495 +0.000000 1.258652 1.075632 -0.525218 -0.850673 0.022382 0.403704 0.247522 +-0.023086 1.272521 1.075631 -0.514801 -0.856921 0.025825 0.378609 0.238372 +0.000000 1.258652 1.075632 -0.514801 -0.856921 0.025825 0.403704 0.247522 +-0.020764 1.273851 1.166052 -0.514801 -0.856921 0.025825 0.381133 0.237495 +-0.020764 1.273851 1.166052 -0.918889 -0.393422 0.029384 0.381133 0.237495 +-0.030897 1.297518 1.166052 -0.918889 -0.393422 0.029384 0.370118 0.221882 +-0.023086 1.272521 1.075631 -0.918889 -0.393422 0.029384 0.378609 0.238372 +-0.033219 1.297518 1.075631 -0.926489 -0.375570 0.023792 0.367594 0.221882 +-0.023086 1.272521 1.075631 -0.926489 -0.375570 0.023792 0.378609 0.238372 +-0.030897 1.297518 1.166052 -0.926489 -0.375570 0.023792 0.370118 0.221882 +-0.033976 1.297518 0.991295 -0.928194 0.371828 0.014160 0.453776 0.301166 +-0.023843 1.322813 0.991295 -0.928194 0.371828 0.014160 0.473727 0.299838 +-0.035195 1.297518 0.911391 -0.928194 0.371828 0.014160 0.452974 0.300111 +-0.025062 1.323454 0.911391 -0.931299 0.363852 0.017127 0.473262 0.298528 +-0.035195 1.297518 0.911391 -0.931299 0.363852 0.017127 0.452974 0.300111 +-0.023843 1.322813 0.991295 -0.931299 0.363852 0.017127 0.473727 0.299838 +-0.023843 1.322813 0.991295 -0.445563 0.895142 0.013978 0.377786 0.205194 +0.000000 1.334681 0.991296 -0.445563 0.895142 0.013978 0.403704 0.197365 +-0.025062 1.323454 0.911391 -0.445563 0.895142 0.013978 0.376461 0.204772 +0.000000 1.336474 0.911391 -0.460918 0.887219 0.019907 0.403704 0.196182 +-0.025062 1.323454 0.911391 -0.460918 0.887219 0.019907 0.376461 0.204772 +0.000000 1.334681 0.991296 -0.460918 0.887219 0.019907 0.403704 0.197365 +0.000000 1.257709 0.991296 -0.519843 -0.853980 -0.021930 0.403704 0.248144 +-0.023843 1.272223 0.991295 -0.519843 -0.853980 -0.021930 0.377786 0.238569 +0.000000 1.259761 0.911391 -0.519843 -0.853980 -0.021930 0.403704 0.246790 +-0.022481 1.271582 0.911391 -0.465405 -0.885098 -0.000833 0.379267 0.238992 +0.000000 1.259761 0.911391 -0.465405 -0.885098 -0.000833 0.403704 0.246790 +-0.023843 1.272223 0.991295 -0.465405 -0.885098 -0.000833 0.377786 0.238569 +-0.023843 1.272223 0.991295 -0.928210 -0.371834 -0.012839 0.447155 0.320033 +-0.033976 1.297518 0.991295 -0.928210 -0.371834 -0.012839 0.453776 0.301166 +-0.022481 1.271582 0.911391 -0.928210 -0.371834 -0.012839 0.447714 0.321467 +-0.035195 1.297518 0.911391 -0.897833 -0.440124 0.013697 0.452974 0.300111 +-0.022481 1.271582 0.911391 -0.897833 -0.440124 0.013697 0.447714 0.321467 +-0.033976 1.297518 0.991295 -0.897833 -0.440124 0.013697 0.453776 0.301166 +-0.035195 1.297518 0.911391 -0.930753 0.363638 0.038282 0.452974 0.300111 +-0.025062 1.323454 0.911391 -0.930753 0.363638 0.038282 0.473262 0.298528 +-0.039245 1.297518 0.812922 -0.930753 0.363638 0.038282 0.450310 0.296606 +-0.027126 1.328997 0.812922 -0.932492 0.358997 0.039754 0.474816 0.294529 +-0.039245 1.297518 0.812922 -0.932492 0.358997 0.039754 0.450310 0.296606 +-0.025062 1.323454 0.911391 -0.932492 0.358997 0.039754 0.473262 0.298528 +-0.025062 1.323454 0.911391 -0.460192 0.885823 0.059511 0.376461 0.204772 +0.000000 1.336474 0.911391 -0.460192 0.885823 0.059511 0.403704 0.196182 +-0.027126 1.328997 0.812922 -0.460192 0.885823 0.059511 0.374217 0.201115 +0.000000 1.340139 0.812923 -0.379724 0.924460 0.034409 0.403704 0.193764 +-0.027126 1.328997 0.812922 -0.379724 0.924460 0.034409 0.374217 0.201115 +0.000000 1.336474 0.911391 -0.379724 0.924460 0.034409 0.403704 0.196182 +0.000000 1.259761 0.911391 -0.465040 -0.884404 0.039600 0.403704 0.246790 +-0.022481 1.271582 0.911391 -0.465040 -0.884404 0.039600 0.379267 0.238992 +0.000000 1.255352 0.812923 -0.465040 -0.884404 0.039600 0.403704 0.249699 +-0.029112 1.273484 0.812922 -0.528580 -0.848666 0.019203 0.372059 0.237737 +0.000000 1.255352 0.812923 -0.528580 -0.848666 0.019203 0.403704 0.249699 +-0.022481 1.271582 0.911391 -0.528580 -0.848666 0.019203 0.379267 0.238992 +-0.022481 1.271582 0.911391 -0.896707 -0.439572 0.051895 0.447714 0.321467 +-0.035195 1.297518 0.911391 -0.896707 -0.439572 0.051895 0.452974 0.300111 +-0.029112 1.273484 0.812922 -0.896707 -0.439572 0.051895 0.444352 0.314970 +-0.039245 1.297518 0.812922 -0.920790 -0.388215 0.037872 0.450310 0.296606 +-0.029112 1.273484 0.812922 -0.920790 -0.388215 0.037872 0.444352 0.314970 +-0.035195 1.297518 0.911391 -0.920790 -0.388215 0.037872 0.452974 0.300111 +-0.038019 1.342370 0.674176 -0.036159 0.998772 0.033860 0.474675 0.279763 +-0.028482 1.340985 0.725216 -0.036159 0.998772 0.033860 0.480220 0.288570 +0.000000 1.343699 0.675576 -0.036159 0.998772 0.033860 0.500379 0.312136 +0.000000 1.341540 0.725216 -0.019465 0.998866 0.043444 0.499245 0.312998 +0.000000 1.343699 0.675576 -0.019465 0.998866 0.043444 0.500379 0.312136 +-0.028482 1.340985 0.725216 -0.019465 0.998866 0.043444 0.480220 0.288570 +-0.078983 1.329372 0.672760 -0.302615 0.931952 0.199724 0.440905 0.249500 +-0.060854 1.324017 0.725216 -0.302615 0.931952 0.199724 0.450016 0.267327 +-0.038019 1.342370 0.674176 -0.302615 0.931952 0.199724 0.474675 0.279763 +-0.028482 1.340985 0.725216 -0.461423 0.880321 0.110108 0.480220 0.288570 +-0.038019 1.342370 0.674176 -0.461423 0.880321 0.110108 0.474675 0.279763 +-0.060854 1.324017 0.725216 -0.461423 0.880321 0.110108 0.450016 0.267327 +-0.081137 1.310106 0.746770 0.450216 0.860840 0.237194 0.411803 0.135337 +-0.049248 1.293766 0.745544 0.450216 0.860840 0.237194 0.446466 0.146116 +-0.078983 1.329372 0.672760 0.450216 0.860840 0.237194 0.414145 0.122626 +-0.060854 1.324017 0.725216 -0.938781 -0.152618 0.308867 0.433851 0.126160 +-0.078983 1.329372 0.672760 -0.938781 -0.152618 0.308867 0.414145 0.122626 +-0.049248 1.293766 0.745544 -0.938781 -0.152618 0.308867 0.446466 0.146116 +-0.083203 1.299486 0.776489 0.332155 0.782226 0.527063 0.422432 0.257778 +-0.085151 1.283248 0.801816 0.332155 0.782226 0.527063 0.412622 0.262573 +-0.031367 1.277087 0.777065 0.332155 0.782226 0.527063 0.444761 0.311579 +0.000000 1.251145 0.798667 0.321810 0.804632 0.499005 0.451766 0.349081 +-0.031367 1.277087 0.777065 0.321810 0.804632 0.499005 0.444761 0.311579 +-0.085151 1.283248 0.801816 0.321810 0.804632 0.499005 0.412622 0.262573 +-0.049248 1.293766 0.745544 0.473672 0.860680 0.186720 0.441760 0.289446 +-0.031367 1.277087 0.777065 0.473672 0.860680 0.186720 0.444761 0.311579 +0.000000 1.259705 0.777615 0.473672 0.860680 0.186720 0.456262 0.345664 +0.000000 1.251145 0.798667 0.452011 0.826316 0.335988 0.451766 0.349081 +0.000000 1.259705 0.777615 0.452011 0.826316 0.335988 0.456262 0.345664 +-0.031367 1.277087 0.777065 0.452011 0.826316 0.335988 0.444761 0.311579 +-0.015217 1.297518 1.584564 -0.821665 0.562864 0.089729 0.387162 0.221882 +-0.007202 1.309190 1.584741 -0.821665 0.562864 0.089729 0.395875 0.214182 +-0.022343 1.297518 1.519310 -0.821665 0.562864 0.089729 0.379416 0.221882 +-0.012210 1.313955 1.519316 -0.846747 0.521963 0.102829 0.390431 0.211038 +-0.022343 1.297518 1.519310 -0.846747 0.521963 0.102829 0.379416 0.221882 +-0.007202 1.309190 1.584741 -0.846747 0.521963 0.102829 0.395875 0.214182 +-0.007202 1.309190 1.584741 -0.552323 0.827301 0.102530 0.395875 0.214182 +0.000000 1.313976 1.584920 -0.552323 0.827301 0.102530 0.403704 0.211025 +-0.012210 1.313955 1.519316 -0.552323 0.827301 0.102530 0.390431 0.211038 +0.000000 1.320764 1.519330 -0.485147 0.869787 0.090014 0.403704 0.206546 +-0.012210 1.313955 1.519316 -0.485147 0.869787 0.090014 0.390431 0.211038 +0.000000 1.313976 1.584920 -0.485147 0.869787 0.090014 0.403704 0.211025 +0.000000 1.281061 1.584920 -0.552252 -0.827127 0.104303 0.403704 0.232739 +-0.007202 1.285847 1.584740 -0.552252 -0.827127 0.104303 0.395875 0.229581 +0.000000 1.272790 1.519330 -0.552252 -0.827127 0.104303 0.403704 0.238195 +-0.012210 1.281081 1.519316 -0.558873 -0.822866 0.102724 0.390431 0.232726 +0.000000 1.272790 1.519330 -0.558873 -0.822866 0.102724 0.403704 0.238195 +-0.007202 1.285847 1.584740 -0.558873 -0.822866 0.102724 0.395875 0.229581 +-0.007202 1.285847 1.584740 -0.820615 -0.561984 0.103755 0.395875 0.229581 +-0.015217 1.297518 1.584564 -0.820615 -0.561984 0.103755 0.387162 0.221882 +-0.012210 1.281081 1.519316 -0.820615 -0.561984 0.103755 0.390431 0.232726 +-0.022343 1.297518 1.519310 -0.847605 -0.522492 0.092562 0.379416 0.221882 +-0.012210 1.281081 1.519316 -0.847605 -0.522492 0.092562 0.390431 0.232726 +-0.015217 1.297518 1.584564 -0.847605 -0.522492 0.092562 0.387162 0.221882 +-0.201975 1.300758 0.676339 -0.213319 0.946969 0.240303 0.581271 0.255958 +-0.081137 1.310106 0.746770 -0.213319 0.946969 0.240303 0.653604 0.365775 +-0.078983 1.329372 0.672760 -0.213319 0.946969 0.240303 0.665730 0.361302 +-0.201975 1.300758 0.676339 -0.232567 0.932833 0.275202 0.581271 0.255958 +-0.187521 1.271414 0.788019 -0.232567 0.932833 0.275202 0.572641 0.279349 +-0.081137 1.310106 0.746770 -0.232567 0.932833 0.275202 0.653604 0.365775 +-0.083203 1.299486 0.776489 -0.213913 0.924501 0.315497 0.646432 0.367418 +-0.081137 1.310106 0.746770 -0.213913 0.924501 0.315497 0.653604 0.365775 +-0.187521 1.271414 0.788019 -0.213913 0.924501 0.315497 0.572641 0.279349 +0.000000 0.555181 -1.276185 -0.953738 -0.063200 -0.293920 0.550480 0.503973 +-0.000071 0.451994 -1.253767 -0.953738 -0.063200 -0.293920 0.578093 0.441752 +-0.028426 0.592592 -1.191990 -0.953738 -0.063200 -0.293920 0.568751 0.539045 +-0.017762 0.476638 -1.166412 -0.978616 -0.125885 -0.162674 0.589101 0.464400 +-0.028426 0.592592 -1.191990 -0.978616 -0.125885 -0.162674 0.568751 0.539045 +-0.000071 0.451994 -1.253767 -0.978616 -0.125885 -0.162674 0.578093 0.441752 +-0.028426 0.592592 -1.191990 -0.988228 -0.113510 -0.102569 0.568751 0.539045 +-0.017762 0.476638 -1.166412 -0.988228 -0.113510 -0.102569 0.589101 0.464400 +-0.044876 0.622134 -1.066191 -0.988228 -0.113510 -0.102569 0.577218 0.564102 +-0.028477 0.487267 -1.049551 -0.988389 -0.129906 -0.078810 0.596915 0.475525 +-0.044876 0.622134 -1.066191 -0.988389 -0.129906 -0.078810 0.577218 0.564102 +-0.017762 0.476638 -1.166412 -0.988389 -0.129906 -0.078810 0.589101 0.464400 +-0.044876 0.622134 -1.066191 -0.991634 -0.124693 -0.033363 0.577218 0.564102 +-0.028477 0.487267 -1.049551 -0.991634 -0.124693 -0.033363 0.596915 0.475525 +-0.045709 0.606913 -0.984544 -0.991634 -0.124693 -0.033363 0.582109 0.555286 +-0.040666 0.466243 -0.987166 -0.978921 -0.031332 -0.201824 0.614644 0.468202 +-0.045709 0.606913 -0.984544 -0.978921 -0.031332 -0.201824 0.582109 0.555286 +-0.028477 0.487267 -1.049551 -0.978921 -0.031332 -0.201824 0.596915 0.475525 +-0.045709 0.606913 -0.984544 -0.987639 -0.032549 -0.153332 0.582109 0.555286 +-0.040666 0.466243 -0.987166 -0.987639 -0.032549 -0.153332 0.614644 0.468202 +-0.054009 0.576160 -0.924554 -0.987639 -0.032549 -0.153332 0.598568 0.540383 +-0.043304 0.452843 -0.921943 -0.994457 -0.087560 -0.058211 0.620843 0.461278 +-0.054009 0.576160 -0.924554 -0.994457 -0.087560 -0.058211 0.598568 0.540383 +-0.040666 0.466243 -0.987166 -0.994457 -0.087560 -0.058211 0.614644 0.468202 +-0.054009 0.576160 -0.924554 -0.944505 -0.088688 -0.316298 0.598568 0.540383 +-0.043304 0.452843 -0.921943 -0.944505 -0.088688 -0.316298 0.620843 0.461278 +-0.066690 0.541092 -0.876854 -0.944505 -0.088688 -0.316298 0.620535 0.524804 +-0.044857 0.433364 -0.874260 -0.973219 -0.199970 -0.113387 0.627586 0.450209 +-0.066690 0.541092 -0.876854 -0.973219 -0.199970 -0.113387 0.620535 0.524804 +-0.043304 0.452843 -0.921943 -0.973219 -0.199970 -0.113387 0.620843 0.461278 +-0.066690 0.541092 -0.876854 -0.927321 -0.195621 -0.319073 0.620535 0.524804 +-0.044857 0.433364 -0.874260 -0.927321 -0.195621 -0.319073 0.627586 0.450209 +-0.080293 0.503604 -0.814336 -0.927321 -0.195621 -0.319073 0.644063 0.508170 +-0.040422 0.413537 -0.812548 -0.912025 -0.405019 -0.064582 0.628469 0.436297 +-0.080293 0.503604 -0.814336 -0.912025 -0.405019 -0.064582 0.644063 0.508170 +-0.044857 0.433364 -0.874260 -0.912025 -0.405019 -0.064582 0.627586 0.450209 +-0.080293 0.503604 -0.814336 -0.901944 -0.402386 -0.156790 0.644063 0.508170 +-0.040422 0.413537 -0.812548 -0.901944 -0.402386 -0.156790 0.628469 0.436297 +-0.075641 0.462425 -0.735415 -0.901944 -0.402386 -0.156790 0.650430 0.481281 +-0.039930 0.375737 -0.738402 -0.911345 -0.369151 -0.182148 0.638070 0.413276 +-0.075641 0.462425 -0.735415 -0.911345 -0.369151 -0.182148 0.650430 0.481281 +-0.040422 0.413537 -0.812548 -0.911345 -0.369151 -0.182148 0.628469 0.436297 +-0.075641 0.462425 -0.735415 -0.920022 -0.375094 -0.113419 0.650430 0.481281 +-0.039930 0.375737 -0.738402 -0.920022 -0.375094 -0.113419 0.638070 0.413276 +-0.072233 0.433957 -0.668912 -0.920022 -0.375094 -0.113419 0.654641 0.462607 +-0.040244 0.348705 -0.668088 -0.926814 -0.349105 -0.138351 0.645597 0.397106 +-0.072233 0.433957 -0.668912 -0.926814 -0.349105 -0.138351 0.654641 0.462607 +-0.039930 0.375737 -0.738402 -0.926814 -0.349105 -0.138351 0.638070 0.413276 +-0.072233 0.433957 -0.668912 -0.932750 -0.350799 -0.083169 0.654641 0.462607 +-0.040244 0.348705 -0.668088 -0.932750 -0.350799 -0.083169 0.645597 0.397106 +-0.090468 0.448803 -0.527023 -0.932750 -0.350799 -0.083169 0.668805 0.479584 +-0.038948 0.323235 -0.523525 -0.922983 -0.380332 -0.058735 0.651108 0.381170 +-0.090468 0.448803 -0.527023 -0.922983 -0.380332 -0.058735 0.668805 0.479584 +-0.040244 0.348705 -0.668088 -0.922983 -0.380332 -0.058735 0.645597 0.397106 +-0.090468 0.448803 -0.527023 -0.915722 -0.379403 -0.132316 0.456677 0.531359 +-0.038948 0.323235 -0.523525 -0.915722 -0.379403 -0.132316 0.487094 0.436105 +-0.122302 0.494918 -0.438939 -0.915722 -0.379403 -0.132316 0.454193 0.577368 +-0.043792 0.343618 -0.422016 -0.888779 -0.455699 0.049092 0.479790 0.448563 +-0.122302 0.494918 -0.438939 -0.888779 -0.455699 0.049092 0.454193 0.577368 +-0.038948 0.323235 -0.523525 -0.888779 -0.455699 0.049092 0.487094 0.436105 +-0.044009 0.376249 -0.342730 -0.821372 -0.528255 0.215161 0.463026 0.462069 +-0.144772 0.521974 -0.369612 -0.821372 -0.528255 0.215161 0.455287 0.607600 +-0.043792 0.343618 -0.422016 -0.821372 -0.528255 0.215161 0.479790 0.448563 +-0.122302 0.494918 -0.438939 -0.878230 -0.467162 -0.102331 0.454193 0.577368 +-0.043792 0.343618 -0.422016 -0.878230 -0.467162 -0.102331 0.479790 0.448563 +-0.144772 0.521974 -0.369612 -0.878230 -0.467162 -0.102331 0.455287 0.607600 +-0.144772 0.521974 -0.369612 -0.817869 -0.573697 -0.044307 0.455287 0.607600 +-0.044009 0.376249 -0.342730 -0.817869 -0.573697 -0.044307 0.463026 0.462069 +-0.163313 0.540612 -0.268690 -0.817869 -0.573697 -0.044307 0.458100 0.631041 +-0.049406 0.399098 -0.273320 -0.768387 -0.623245 0.145419 0.454815 0.476006 +-0.163313 0.540612 -0.268690 -0.768387 -0.623245 0.145419 0.458100 0.631041 +-0.044009 0.376249 -0.342730 -0.768387 -0.623245 0.145419 0.463026 0.462069 +0.000000 0.511473 -0.002516 -0.700250 -0.009658 0.713833 0.363346 0.479695 +-0.173070 0.533485 -0.171995 -0.700250 -0.009658 0.713833 0.468356 0.636463 +-0.007276 0.451574 -0.010464 -0.700250 -0.009658 0.713833 0.399281 0.461454 +-0.044787 0.408909 -0.177356 -0.652596 -0.685873 0.322019 0.446624 0.476067 +-0.007276 0.451574 -0.010464 -0.652596 -0.685873 0.322019 0.399281 0.461454 +-0.173070 0.533485 -0.171995 -0.652596 -0.685873 0.322019 0.468356 0.636463 +-0.044787 0.408909 -0.177356 -0.690420 -0.715543 0.106386 0.446624 0.476067 +-0.173070 0.533485 -0.171995 -0.690420 -0.715543 0.106386 0.468356 0.636463 +-0.049406 0.399098 -0.273320 -0.690420 -0.715543 0.106386 0.454815 0.476006 +-0.163313 0.540612 -0.268690 -0.774973 -0.619736 -0.123877 0.458100 0.631041 +-0.049406 0.399098 -0.273320 -0.774973 -0.619736 -0.123877 0.454815 0.476006 +-0.173070 0.533485 -0.171995 -0.774973 -0.619736 -0.123877 0.468356 0.636463 +0.000000 0.555204 -1.276195 -1.000000 -0.000106 0.000044 0.550474 0.503987 +0.000014 0.434445 -1.250245 -1.000000 -0.000106 0.000044 0.582692 0.431127 +0.000000 0.591492 -1.188162 -1.000000 -0.000106 0.000044 0.540787 0.525880 +0.000014 0.439762 -1.159240 -1.000000 -0.000091 0.000005 0.581273 0.434334 +0.000000 0.591492 -1.188162 -1.000000 -0.000091 0.000005 0.540787 0.525880 +0.000014 0.434445 -1.250245 -1.000000 -0.000091 0.000005 0.582692 0.431127 +0.000000 0.591492 -1.188162 -1.000000 -0.000090 0.000014 0.540787 0.525880 +0.000014 0.439762 -1.159240 -1.000000 -0.000090 0.000014 0.581273 0.434334 +0.000000 0.611120 -1.063840 -1.000000 -0.000090 0.000014 0.535548 0.537721 +0.000014 0.441716 -1.050621 -1.000000 -0.000083 0.000001 0.580752 0.435513 +0.000000 0.611120 -1.063840 -1.000000 -0.000083 0.000001 0.535548 0.537721 +0.000014 0.439762 -1.159240 -1.000000 -0.000083 0.000001 0.581273 0.434334 +0.000000 0.611120 -1.063840 -1.000000 -0.000085 -0.000025 0.535548 0.537721 +0.000014 0.441716 -1.050621 -1.000000 -0.000085 -0.000025 0.580752 0.435513 +0.000000 0.589001 -0.987748 -1.000000 -0.000085 -0.000025 0.541452 0.524377 +0.000014 0.434334 -0.986598 -1.000000 -0.000091 -0.000010 0.582722 0.431060 +0.000000 0.589001 -0.987748 -1.000000 -0.000091 -0.000010 0.541452 0.524377 +0.000014 0.441716 -1.050621 -1.000000 -0.000091 -0.000010 0.580752 0.435513 +0.000000 0.589001 -0.987748 -1.000000 -0.000091 -0.000056 0.541452 0.524377 +0.000014 0.434334 -0.986598 -1.000000 -0.000091 -0.000056 0.582722 0.431060 +0.000000 0.554330 -0.931298 -1.000000 -0.000091 -0.000056 0.550707 0.503460 +0.000014 0.417662 -0.932663 -1.000000 -0.000102 -0.000032 0.587172 0.421002 +0.000000 0.554330 -0.931298 -1.000000 -0.000102 -0.000032 0.550707 0.503460 +0.000014 0.434334 -0.986598 -1.000000 -0.000102 -0.000032 0.582722 0.431060 +0.000000 0.554330 -0.931298 -1.000000 -0.000102 -0.000078 0.550707 0.503460 +0.000014 0.417662 -0.932663 -1.000000 -0.000102 -0.000078 0.587172 0.421002 +0.000000 0.516288 -0.882034 -1.000000 -0.000102 -0.000078 0.560861 0.480509 +0.000014 0.399948 -0.880610 -1.000000 -0.000121 -0.000041 0.591900 0.410315 +0.000000 0.516288 -0.882034 -1.000000 -0.000121 -0.000041 0.560861 0.480509 +0.000014 0.417662 -0.932663 -1.000000 -0.000121 -0.000041 0.587172 0.421002 +0.000000 0.516288 -0.882034 -1.000000 -0.000121 -0.000077 0.560861 0.480509 +0.000014 0.399948 -0.880610 -1.000000 -0.000121 -0.000077 0.591900 0.410315 +0.000000 0.477658 -0.820980 -1.000000 -0.000121 -0.000077 0.571172 0.457204 +0.000014 0.374273 -0.822789 -1.000000 -0.000134 -0.000060 0.598754 0.394825 +0.000000 0.477658 -0.820980 -1.000000 -0.000134 -0.000060 0.571172 0.457204 +0.000014 0.399948 -0.880610 -1.000000 -0.000134 -0.000060 0.591900 0.410315 +0.000000 0.477658 -0.820980 -1.000000 -0.000134 -0.000085 0.571172 0.457204 +0.000014 0.374273 -0.822789 -1.000000 -0.000134 -0.000085 0.598754 0.394825 +0.000000 0.427930 -0.743088 -1.000000 -0.000134 -0.000085 0.584446 0.427203 +0.000014 0.339557 -0.744348 -1.000000 -0.000157 -0.000070 0.608020 0.373881 +0.000000 0.427930 -0.743088 -1.000000 -0.000157 -0.000070 0.584446 0.427203 +0.000014 0.374273 -0.822789 -1.000000 -0.000157 -0.000070 0.598754 0.394825 +0.000000 0.427930 -0.743088 -1.000000 -0.000158 -0.000055 0.584446 0.427203 +0.000014 0.339557 -0.744348 -1.000000 -0.000158 -0.000055 0.608020 0.373881 +0.000000 0.406746 -0.682874 -1.000000 -0.000158 -0.000055 0.590100 0.414422 +0.000014 0.321842 -0.681405 -1.000000 -0.000166 -0.000047 0.612749 0.363193 +0.000000 0.406746 -0.682874 -1.000000 -0.000166 -0.000047 0.590100 0.414422 +0.000014 0.339557 -0.744348 -1.000000 -0.000166 -0.000047 0.608020 0.373881 +0.000000 0.408895 -0.520932 -1.000000 -0.000119 0.000002 0.589527 0.415719 +0.000000 0.406746 -0.682874 -1.000000 -0.000119 0.000002 0.590100 0.414422 +0.000014 0.291564 -0.518173 -1.000000 -0.000119 0.000002 0.620830 0.344927 +0.000014 0.321842 -0.681405 -1.000000 -0.000165 -0.000031 0.612749 0.363193 +0.000014 0.291564 -0.518173 -1.000000 -0.000165 -0.000031 0.620830 0.344927 +0.000000 0.406746 -0.682874 -1.000000 -0.000165 -0.000031 0.590100 0.414422 +0.000000 0.408895 -0.520932 -1.000000 -0.000119 0.000021 0.589527 0.415719 +0.000014 0.291564 -0.518173 -1.000000 -0.000119 0.000021 0.620830 0.344927 +0.000000 0.424155 -0.433288 -1.000000 -0.000119 0.000021 0.585453 0.424925 +0.000014 0.316589 -0.422456 -1.000000 -0.000127 0.000033 0.614151 0.360024 +0.000000 0.424155 -0.433288 -1.000000 -0.000127 0.000033 0.585453 0.424925 +0.000014 0.291564 -0.518173 -1.000000 -0.000127 0.000033 0.620830 0.344927 +0.000014 0.343339 -0.340680 -1.000000 -0.000122 0.000040 0.607011 0.376162 +0.000000 0.450508 -0.365253 -1.000000 -0.000122 0.000040 0.578419 0.440824 +0.000014 0.316589 -0.422456 -1.000000 -0.000122 0.000040 0.614151 0.360024 +0.000000 0.424155 -0.433288 -1.000000 -0.000125 0.000049 0.585453 0.424925 +0.000014 0.316589 -0.422456 -1.000000 -0.000125 0.000049 0.614151 0.360024 +0.000000 0.450508 -0.365253 -1.000000 -0.000125 0.000049 0.578419 0.440824 +0.000000 0.450508 -0.365253 -1.000000 -0.000116 0.000064 0.578419 0.440824 +0.000014 0.343339 -0.340680 -1.000000 -0.000116 0.000064 0.607011 0.376162 +0.000000 0.498183 -0.278299 -1.000000 -0.000116 0.000064 0.565694 0.469586 +0.000014 0.368215 -0.278986 -1.000000 -0.000108 0.000044 0.600371 0.391170 +0.000000 0.498183 -0.278299 -1.000000 -0.000108 0.000044 0.565694 0.469586 +0.000014 0.343339 -0.340680 -1.000000 -0.000108 0.000044 0.607011 0.376162 +0.000000 0.504868 -0.181285 -1.000000 -0.000112 0.000004 0.563910 0.473619 +0.000014 0.379905 -0.182662 -1.000000 -0.000112 0.000004 0.597250 0.398223 +0.000000 0.511473 -0.002516 -1.000000 -0.000112 0.000004 0.562146 0.477604 +0.000014 0.418132 -0.003255 -1.000000 -0.000150 0.000032 0.587047 0.421285 +0.000000 0.511473 -0.002516 -1.000000 -0.000150 0.000032 0.562146 0.477604 +0.000014 0.379905 -0.182662 -1.000000 -0.000150 0.000032 0.597250 0.398223 +0.000014 0.379905 -0.182662 -1.000000 -0.000112 0.000014 0.597250 0.398223 +0.000000 0.504868 -0.181285 -1.000000 -0.000112 0.000014 0.563910 0.473619 +0.000014 0.368215 -0.278986 -1.000000 -0.000112 0.000014 0.600371 0.391170 +0.000000 0.498183 -0.278299 -1.000000 -0.000108 0.000007 0.565694 0.469586 +0.000014 0.368215 -0.278986 -1.000000 -0.000108 0.000007 0.600371 0.391170 +0.000000 0.504868 -0.181285 -1.000000 -0.000108 0.000007 0.563910 0.473619 +-0.000345 1.341137 1.325265 -0.309361 0.948277 -0.071184 0.403328 0.193106 +-0.000345 1.330903 1.188933 -0.309361 0.948277 -0.071184 0.403328 0.199857 +-0.028351 1.331795 1.322527 -0.309361 0.948277 -0.071184 0.372885 0.199269 +-0.021388 1.321433 1.189144 -0.409422 0.907706 -0.091889 0.380455 0.206105 +-0.028351 1.331795 1.322527 -0.409422 0.907706 -0.091889 0.372885 0.199269 +-0.000345 1.330903 1.188933 -0.409422 0.907706 -0.091889 0.403328 0.199857 +-0.021388 1.321433 1.189144 -0.912125 0.402254 -0.078865 0.474617 0.302514 +-0.032032 1.297192 1.188607 -0.912125 0.402254 -0.078865 0.454884 0.302979 +-0.028351 1.331795 1.322527 -0.912125 0.402254 -0.078865 0.475479 0.292351 +-0.043068 1.305744 1.325265 -0.870750 0.481358 -0.100442 0.452117 0.290014 +-0.028351 1.331795 1.322527 -0.870750 0.481358 -0.100442 0.475479 0.292351 +-0.032032 1.297192 1.188607 -0.870750 0.481358 -0.100442 0.454884 0.302979 +-0.028212 1.328228 1.325265 -0.952886 0.296499 -0.064003 0.473697 0.293895 +-0.021185 1.321447 1.189232 -0.952886 0.296499 -0.064003 0.474757 0.302684 +-0.037459 1.297919 1.322527 -0.952886 0.296499 -0.064003 0.451696 0.297992 +-0.032060 1.297206 1.188684 -0.911371 0.409740 -0.038946 0.454872 0.302949 +-0.037459 1.297919 1.322527 -0.911371 0.409740 -0.038946 0.451696 0.297992 +-0.021185 1.321447 1.189232 -0.911371 0.409740 -0.038946 0.474757 0.302684 +-0.032060 1.297206 1.188684 -0.877476 -0.478494 -0.032847 0.454872 0.302949 +-0.019151 1.273409 1.190492 -0.877476 -0.478494 -0.032847 0.450864 0.323620 +-0.037459 1.297919 1.322527 -0.877476 -0.478494 -0.032847 0.451696 0.297992 +-0.028212 1.269463 1.325265 -0.946439 -0.314560 -0.072841 0.442832 0.317353 +-0.037459 1.297919 1.322527 -0.946439 -0.314560 -0.072841 0.451696 0.297992 +-0.019151 1.273409 1.190492 -0.946439 -0.314560 -0.072841 0.450864 0.323620 +-0.000345 1.349172 1.414506 -0.356034 0.925035 -0.132474 0.403328 0.187805 +-0.000345 1.329842 1.279529 -0.356034 0.925035 -0.132474 0.403328 0.200557 +-0.032102 1.336557 1.411768 -0.356034 0.925035 -0.132474 0.368808 0.196127 +-0.019341 1.320054 1.278736 -0.447665 0.881145 -0.152250 0.382680 0.207015 +-0.032102 1.336557 1.411768 -0.447665 0.881145 -0.152250 0.368808 0.196127 +-0.000345 1.329842 1.279529 -0.447665 0.881145 -0.152250 0.403328 0.200557 +-0.019341 1.320054 1.278736 -0.905503 0.401721 -0.136694 0.475239 0.304836 +-0.029357 1.297506 1.278820 -0.905503 0.401721 -0.136694 0.456808 0.305168 +-0.032102 1.336557 1.411768 -0.905503 0.401721 -0.136694 0.475513 0.287204 +-0.046819 1.306895 1.414506 -0.891650 0.429065 -0.144440 0.450254 0.286308 +-0.032102 1.336557 1.411768 -0.891650 0.429065 -0.144440 0.475513 0.287204 +-0.029357 1.297506 1.278820 -0.891650 0.429065 -0.144440 0.456808 0.305168 +-0.031963 1.332496 1.414506 -0.954880 0.266294 -0.131496 0.473472 0.288945 +-0.016837 1.320225 1.279816 -0.954880 0.266294 -0.131496 0.476976 0.306935 +-0.041210 1.297986 1.411768 -0.954880 0.266294 -0.131496 0.449264 0.294719 +-0.029808 1.297729 1.280044 -0.864151 0.497495 -0.075771 0.456628 0.304689 +-0.041210 1.297986 1.411768 -0.864151 0.497495 -0.075771 0.449264 0.294719 +-0.016837 1.320225 1.279816 -0.864151 0.497495 -0.075771 0.476976 0.306935 +-0.029808 1.297729 1.280044 -0.907091 -0.413698 -0.077710 0.456628 0.304689 +-0.019007 1.274121 1.279646 -0.907091 -0.413698 -0.077710 0.451333 0.323460 +-0.041210 1.297986 1.411768 -0.907091 -0.413698 -0.077710 0.449264 0.294719 +-0.031963 1.265585 1.414506 -0.953357 -0.281324 -0.109396 0.438327 0.315655 +-0.041210 1.297986 1.411768 -0.953357 -0.281324 -0.109396 0.449264 0.294719 +-0.019007 1.274121 1.279646 -0.953357 -0.281324 -0.109396 0.451333 0.323460 +-0.000403 1.349535 1.457243 -0.372410 0.909068 -0.186832 0.403266 0.187566 +-0.000351 1.327387 1.349374 -0.372410 0.909068 -0.186832 0.403322 0.202177 +-0.031193 1.336420 1.454803 -0.372410 0.909068 -0.186832 0.369796 0.196218 +-0.018579 1.318616 1.349450 -0.425503 0.882559 -0.200093 0.383508 0.207963 +-0.031193 1.336420 1.454803 -0.425503 0.882559 -0.200093 0.369796 0.196218 +-0.000351 1.327387 1.349374 -0.425503 0.882559 -0.200093 0.403322 0.202177 +-0.018579 1.318616 1.349450 -0.891457 0.417015 -0.177208 0.474985 0.306069 +-0.028506 1.297508 1.349716 -0.891457 0.417015 -0.177208 0.457368 0.305904 +-0.031193 1.336420 1.454803 -0.891457 0.417015 -0.177208 0.476039 0.288046 +-0.043651 1.305102 1.457243 -0.922051 0.354713 -0.154921 0.451396 0.289766 +-0.031193 1.336420 1.454803 -0.922051 0.354713 -0.154921 0.476039 0.288046 +-0.028506 1.297508 1.349716 -0.922051 0.354713 -0.154921 0.457368 0.305904 +-0.037113 1.333909 1.457243 -0.964164 0.184489 -0.190659 0.470826 0.283924 +-0.018732 1.318464 1.349345 -0.964164 0.184489 -0.190659 0.474804 0.305998 +-0.043483 1.298096 1.454802 -0.964164 0.184489 -0.190659 0.447826 0.292707 +-0.027913 1.297786 1.349942 -0.906940 0.398757 -0.135844 0.457905 0.306306 +-0.043483 1.298096 1.454802 -0.906940 0.398757 -0.135844 0.447826 0.292707 +-0.018732 1.318464 1.349345 -0.906940 0.398757 -0.135844 0.474804 0.305998 +-0.027913 1.297786 1.349942 -0.930004 -0.341030 -0.137082 0.457905 0.306306 +-0.020142 1.276685 1.349716 -0.930004 -0.341030 -0.137082 0.451933 0.321455 +-0.043483 1.298096 1.454802 -0.930004 -0.341030 -0.137082 0.447826 0.292707 +-0.037113 1.264473 1.457243 -0.965051 -0.195502 -0.174518 0.434356 0.311642 +-0.043483 1.298096 1.454802 -0.965051 -0.195502 -0.174518 0.447826 0.292707 +-0.020142 1.276685 1.349716 -0.965051 -0.195502 -0.174518 0.451933 0.321455 +-0.000403 1.349143 1.500012 -0.398739 0.898927 -0.181487 0.403266 0.187824 +-0.000351 1.327388 1.392143 -0.398739 0.898927 -0.181487 0.403322 0.202177 +-0.027067 1.336823 1.497572 -0.398739 0.898927 -0.181487 0.374281 0.195952 +-0.018579 1.318616 1.392219 -0.426598 0.884838 -0.187286 0.383508 0.207963 +-0.027067 1.336823 1.497572 -0.426598 0.884838 -0.187286 0.374281 0.195952 +-0.000351 1.327388 1.392143 -0.426598 0.884838 -0.187286 0.403322 0.202177 +-0.018579 1.318616 1.392219 -0.896097 0.419606 -0.144712 0.474985 0.306069 +-0.028506 1.297508 1.392485 -0.896097 0.419606 -0.144712 0.457368 0.305904 +-0.027067 1.336823 1.497572 -0.896097 0.419606 -0.144712 0.478965 0.291456 +-0.039525 1.305181 1.500012 -0.926844 0.355633 -0.120357 0.454151 0.293305 +-0.027067 1.336823 1.497572 -0.926844 0.355633 -0.120357 0.478965 0.291456 +-0.028506 1.297508 1.392485 -0.926844 0.355633 -0.120357 0.457368 0.305904 +-0.032987 1.334286 1.500012 -0.971131 0.181409 -0.154903 0.473738 0.287345 +-0.018732 1.318464 1.392114 -0.971131 0.181409 -0.154903 0.474804 0.305998 +-0.039357 1.298102 1.497572 -0.971131 0.181409 -0.154903 0.450544 0.296275 +-0.027913 1.297786 1.392711 -0.910403 0.401313 -0.100566 0.457905 0.306306 +-0.039357 1.298102 1.497572 -0.910403 0.401313 -0.100566 0.450544 0.296275 +-0.018732 1.318464 1.392114 -0.910403 0.401313 -0.100566 0.474804 0.305998 +-0.027913 1.297786 1.392711 -0.933949 -0.342871 -0.100893 0.457905 0.306306 +-0.020142 1.276685 1.392485 -0.933949 -0.342871 -0.100893 0.451933 0.321455 +-0.039357 1.298102 1.497572 -0.933949 -0.342871 -0.100893 0.450544 0.296275 +-0.032987 1.264132 1.500012 -0.971548 -0.192131 -0.138489 0.436891 0.315349 +-0.039357 1.298102 1.497572 -0.971548 -0.192131 -0.138489 0.450544 0.296275 +-0.020142 1.276685 1.392485 -0.971548 -0.192131 -0.138489 0.451933 0.321455 +-0.029367 1.333645 1.537029 -0.967483 0.181345 -0.176324 0.475782 0.290734 +-0.015223 1.317866 1.443193 -0.967483 0.181345 -0.176324 0.476798 0.309273 +-0.035616 1.298138 1.534799 -0.967483 0.181345 -0.176324 0.453023 0.299499 +-0.026855 1.297816 1.442678 -0.861010 0.501664 -0.083638 0.458616 0.307210 +-0.035616 1.298138 1.534799 -0.861010 0.501664 -0.083638 0.453023 0.299499 +-0.015223 1.317866 1.443193 -0.861010 0.501664 -0.083638 0.476798 0.309273 +-0.026855 1.297816 1.442678 -0.878614 -0.470455 -0.081915 0.458616 0.307210 +-0.015913 1.277305 1.443114 -0.878614 -0.470455 -0.081915 0.455040 0.324867 +-0.035616 1.298138 1.534799 -0.878614 -0.470455 -0.081915 0.453023 0.299499 +-0.029367 1.264803 1.537029 -0.967490 -0.192352 -0.164206 0.439624 0.318213 +-0.035616 1.298138 1.534799 -0.967490 -0.192352 -0.164206 0.453023 0.299499 +-0.015913 1.277305 1.443114 -0.967490 -0.192352 -0.164206 0.455040 0.324867 +-0.000372 1.344853 1.537030 -0.418644 0.888622 -0.187317 0.403299 0.190655 +-0.000349 1.324949 1.442555 -0.418644 0.888622 -0.187317 0.403325 0.203786 +-0.025818 1.332395 1.534800 -0.418644 0.888622 -0.187317 0.375639 0.198873 +-0.015475 1.316933 1.442679 -0.460345 0.865612 -0.196973 0.386882 0.209073 +-0.025818 1.332395 1.534800 -0.460345 0.865612 -0.196973 0.375639 0.198873 +-0.000349 1.324949 1.442555 -0.460345 0.865612 -0.196973 0.403325 0.203786 +-0.015475 1.316933 1.442679 -0.957201 0.248060 -0.149106 0.476142 0.309427 +-0.021517 1.293880 1.443114 -0.957201 0.248060 -0.149106 0.460060 0.313401 +-0.025818 1.332395 1.534800 -0.957201 0.248060 -0.149106 0.477460 0.294304 +-0.036751 1.298880 1.537030 -0.940384 0.295569 -0.168274 0.452666 0.298221 +-0.025818 1.332395 1.534800 -0.940384 0.295569 -0.168274 0.477460 0.294304 +-0.021517 1.293880 1.443114 -0.940384 0.295569 -0.168274 0.460060 0.313401 +-0.027068 1.329074 1.570149 -0.967620 0.205421 -0.146678 0.374280 0.201064 +-0.015223 1.317866 1.476312 -0.967620 0.205421 -0.146678 0.387156 0.208458 +-0.033316 1.298051 1.567919 -0.967620 0.205421 -0.146678 0.367488 0.221530 +-0.026855 1.297816 1.475798 -0.862634 0.502042 -0.061782 0.374511 0.221686 +-0.033316 1.298051 1.567919 -0.862634 0.502042 -0.061782 0.367488 0.221530 +-0.015223 1.317866 1.476312 -0.862634 0.502042 -0.061782 0.387156 0.208458 +-0.026855 1.297816 1.475798 -0.880152 -0.470817 -0.060529 0.374511 0.221686 +-0.015913 1.277305 1.476233 -0.880152 -0.470817 -0.060529 0.386406 0.235216 +-0.033316 1.298051 1.567919 -0.880152 -0.470817 -0.060529 0.367488 0.221530 +-0.027068 1.268926 1.570149 -0.966746 -0.217669 -0.134247 0.374280 0.240744 +-0.033316 1.298051 1.567919 -0.966746 -0.217669 -0.134247 0.367488 0.221530 +-0.015913 1.277305 1.476233 -0.966746 -0.217669 -0.134247 0.386406 0.235216 +-0.000372 1.339127 1.570149 -0.419284 0.897787 -0.134835 0.403299 0.194432 +-0.000349 1.324949 1.475675 -0.419284 0.897787 -0.134835 0.403325 0.203786 +-0.023519 1.327982 1.567919 -0.419284 0.897787 -0.134835 0.378138 0.201785 +-0.015475 1.316933 1.475798 -0.464209 0.873722 -0.145328 0.386882 0.209073 +-0.023519 1.327982 1.567919 -0.464209 0.873722 -0.145328 0.378138 0.201785 +-0.000349 1.324949 1.475675 -0.464209 0.873722 -0.145328 0.403325 0.203786 +-0.015475 1.316933 1.475798 -0.961556 0.249861 -0.113931 0.386882 0.209073 +-0.021517 1.293880 1.476234 -0.961556 0.249861 -0.113931 0.380314 0.224282 +-0.023519 1.327982 1.567919 -0.961556 0.249861 -0.113931 0.378138 0.201785 +-0.034451 1.298699 1.570149 -0.930466 0.336292 -0.145400 0.366254 0.221103 +-0.023519 1.327982 1.567919 -0.930466 0.336292 -0.145400 0.378138 0.201785 +-0.021517 1.293880 1.476234 -0.930466 0.336292 -0.145400 0.380314 0.224282 +-0.022081 1.324929 1.597562 -0.962630 0.218798 -0.159597 0.379701 0.203798 +-0.011751 1.313816 1.520020 -0.962630 0.218798 -0.159597 0.390930 0.211130 +-0.027835 1.298151 1.595557 -0.962630 0.218798 -0.159597 0.373446 0.221464 +-0.023238 1.297900 1.519814 -0.809498 0.584897 -0.051069 0.378444 0.221630 +-0.027835 1.298151 1.595557 -0.809498 0.584897 -0.051069 0.373446 0.221464 +-0.011751 1.313816 1.520020 -0.809498 0.584897 -0.051069 0.390930 0.211130 +-0.023238 1.297900 1.519814 -0.843638 -0.534633 -0.049430 0.378444 0.221630 +-0.012708 1.281267 1.519996 -0.843638 -0.534633 -0.049430 0.389890 0.232603 +-0.027835 1.298151 1.595557 -0.843638 -0.534633 -0.049430 0.373446 0.221464 +-0.022081 1.270444 1.597562 -0.966419 -0.211284 -0.146262 0.379701 0.239743 +-0.027835 1.298151 1.595557 -0.966419 -0.211284 -0.146262 0.373446 0.221464 +-0.012708 1.281267 1.519996 -0.966419 -0.211284 -0.146262 0.389890 0.232603 +-0.000373 1.332783 1.597562 -0.447775 0.883954 -0.134620 0.403299 0.198617 +-0.000351 1.320843 1.519087 -0.447775 0.883954 -0.134620 0.403322 0.206494 +-0.018613 1.323238 1.595557 -0.447775 0.883954 -0.134620 0.383471 0.204914 +-0.012060 1.313850 1.519814 -0.513819 0.844831 -0.149166 0.390594 0.211108 +-0.018613 1.323238 1.595557 -0.513819 0.844831 -0.149166 0.383471 0.204914 +-0.000351 1.320843 1.519087 -0.513819 0.844831 -0.149166 0.403322 0.206494 +-0.012060 1.313850 1.519814 -0.846156 0.515014 -0.137040 0.390594 0.211108 +-0.022072 1.297449 1.519996 -0.846156 0.515014 -0.137040 0.379711 0.221928 +-0.018613 1.323238 1.595557 -0.846156 0.515014 -0.137040 0.383471 0.204914 +-0.027355 1.303593 1.597562 -0.913125 0.396785 -0.093622 0.373969 0.217874 +-0.018613 1.323238 1.595557 -0.913125 0.396785 -0.093622 0.383471 0.204914 +-0.022072 1.297449 1.519996 -0.913125 0.396785 -0.093622 0.379711 0.221928 +-0.000428 1.318737 1.612066 -0.493111 0.857539 -0.146522 0.403238 0.207884 +-0.000345 1.313964 1.583852 -0.493111 0.857539 -0.146522 0.403328 0.211032 +-0.013389 1.311120 1.611106 -0.493111 0.857539 -0.146522 0.389150 0.212908 +-0.007777 1.309166 1.583781 -0.533458 0.828806 -0.168831 0.395250 0.214198 +-0.013389 1.311120 1.611106 -0.533458 0.828806 -0.168831 0.389150 0.212908 +-0.000345 1.313964 1.583852 -0.533458 0.828806 -0.168831 0.403328 0.211032 +-0.007777 1.309166 1.583781 -0.824543 0.526573 -0.207001 0.395250 0.214198 +-0.015212 1.297488 1.583690 -0.824543 0.526573 -0.207001 0.387168 0.221902 +-0.013389 1.311120 1.611106 -0.824543 0.526573 -0.207001 0.389150 0.212908 +-0.020758 1.300929 1.612066 -0.799675 0.557144 -0.223855 0.381139 0.219631 +-0.013389 1.311120 1.611106 -0.799675 0.557144 -0.223855 0.389150 0.212908 +-0.015212 1.297488 1.583690 -0.799675 0.557144 -0.223855 0.387168 0.221902 +-0.014435 1.309839 1.611458 -0.869413 0.256918 -0.422036 0.388013 0.213754 +-0.002626 1.305302 1.584369 -0.869413 0.256918 -0.422036 0.400849 0.216747 +-0.017630 1.298449 1.611106 -0.869413 0.256918 -0.422036 0.384539 0.221268 +-0.015267 1.297604 1.583688 -0.516033 0.853639 -0.070785 0.387109 0.221825 +-0.017630 1.298449 1.611106 -0.516033 0.853639 -0.070785 0.384539 0.221268 +-0.002626 1.305302 1.584369 -0.516033 0.853639 -0.070785 0.400849 0.216747 +-0.015267 1.297604 1.583688 -0.833501 -0.549785 -0.054889 0.387109 0.221825 +-0.007538 1.285870 1.583853 -0.833501 -0.549785 -0.054889 0.395510 0.229566 +-0.017630 1.298449 1.611106 -0.833501 -0.549785 -0.054889 0.384539 0.221268 +-0.014435 1.284791 1.612066 -0.941572 -0.237076 -0.239245 0.388013 0.230278 +-0.017630 1.298449 1.611106 -0.941572 -0.237076 -0.239245 0.384539 0.221268 +-0.007538 1.285870 1.583853 -0.941572 -0.237076 -0.239245 0.395510 0.229566 +-0.021388 1.273440 1.189144 -0.409417 -0.907708 -0.091889 0.380455 0.237767 +-0.000345 1.263970 1.188933 -0.409417 -0.907708 -0.091889 0.403328 0.244014 +-0.028351 1.263078 1.322527 -0.409417 -0.907708 -0.091889 0.372885 0.244602 +-0.000345 1.253736 1.325265 -0.309358 -0.948278 -0.071184 0.403328 0.250765 +-0.028351 1.263078 1.322527 -0.309358 -0.948278 -0.071184 0.372885 0.244602 +-0.000345 1.263970 1.188933 -0.309358 -0.948278 -0.071184 0.403328 0.244014 +-0.043068 1.289129 1.325265 -0.870751 -0.481357 -0.100438 0.443390 0.296646 +-0.032032 1.297680 1.188607 -0.870751 -0.481357 -0.100438 0.455140 0.302784 +-0.028351 1.263078 1.322527 -0.870751 -0.481357 -0.100438 0.439386 0.319781 +-0.021388 1.273440 1.189144 -0.912119 -0.402267 -0.078866 0.449409 0.321672 +-0.028351 1.263078 1.322527 -0.912119 -0.402267 -0.078866 0.439386 0.319781 +-0.032032 1.297680 1.188607 -0.912119 -0.402267 -0.078866 0.455140 0.302784 +-0.019341 1.274819 1.278735 -0.447698 -0.881127 -0.152254 0.382680 0.236857 +-0.000345 1.265030 1.279529 -0.447698 -0.881127 -0.152254 0.403328 0.243314 +-0.032103 1.258316 1.411768 -0.447698 -0.881127 -0.152254 0.368808 0.247744 +-0.000345 1.245701 1.414506 -0.356028 -0.925038 -0.132468 0.403328 0.256066 +-0.032103 1.258316 1.411768 -0.356028 -0.925038 -0.132468 0.368808 0.247744 +-0.000345 1.265030 1.279529 -0.356028 -0.925038 -0.132468 0.403328 0.243314 +-0.046819 1.287978 1.414506 -0.891662 -0.429041 -0.144440 0.440318 0.293859 +-0.029357 1.297367 1.278820 -0.891662 -0.429041 -0.144440 0.456734 0.305224 +-0.032103 1.258316 1.411768 -0.891662 -0.429041 -0.144440 0.434418 0.318436 +-0.019341 1.274819 1.278735 -0.905503 -0.401717 -0.136700 0.451480 0.322893 +-0.032103 1.258316 1.411768 -0.905503 -0.401717 -0.136700 0.434418 0.318436 +-0.029357 1.297367 1.278820 -0.905503 -0.401717 -0.136700 0.456734 0.305224 +-0.018579 1.276257 1.349450 -0.425544 -0.882536 -0.200104 0.383508 0.235908 +-0.000351 1.267485 1.349374 -0.425544 -0.882536 -0.200104 0.403322 0.241695 +-0.031193 1.258452 1.454802 -0.425544 -0.882536 -0.200104 0.369796 0.247654 +-0.000403 1.245338 1.457243 -0.372385 -0.909079 -0.186827 0.403265 0.256305 +-0.031193 1.258452 1.454802 -0.372385 -0.909079 -0.186827 0.369796 0.247654 +-0.000351 1.267485 1.349374 -0.372385 -0.909079 -0.186827 0.403322 0.241695 +-0.043651 1.289771 1.457243 -0.922056 -0.354700 -0.154920 0.443344 0.295886 +-0.028506 1.297365 1.349716 -0.922056 -0.354700 -0.154920 0.457293 0.305961 +-0.031193 1.258452 1.454802 -0.922056 -0.354700 -0.154920 0.435088 0.319168 +-0.018579 1.276257 1.349450 -0.891455 -0.417016 -0.177213 0.452736 0.322978 +-0.031193 1.258452 1.454802 -0.891455 -0.417016 -0.177213 0.435088 0.319168 +-0.028506 1.297365 1.349716 -0.891455 -0.417016 -0.177213 0.457293 0.305961 +-0.018579 1.276257 1.392218 -0.426590 -0.884840 -0.187293 0.383508 0.235908 +-0.000351 1.267485 1.392143 -0.426590 -0.884840 -0.187293 0.403322 0.241695 +-0.027067 1.258049 1.497572 -0.426590 -0.884840 -0.187293 0.374281 0.247920 +-0.000403 1.245729 1.500012 -0.398737 -0.898926 -0.181496 0.403265 0.256047 +-0.027067 1.258049 1.497572 -0.398737 -0.898926 -0.181496 0.374281 0.247920 +-0.000351 1.267485 1.392143 -0.398737 -0.898926 -0.181496 0.403322 0.241695 +-0.039525 1.289692 1.500012 -0.926848 -0.355623 -0.120357 0.446016 0.299488 +-0.028506 1.297365 1.392485 -0.926848 -0.355623 -0.120357 0.457293 0.305961 +-0.027067 1.258049 1.497572 -0.926848 -0.355623 -0.120357 0.437590 0.322900 +-0.018579 1.276257 1.392218 -0.896098 -0.419602 -0.144714 0.452736 0.322978 +-0.027067 1.258049 1.497572 -0.896098 -0.419602 -0.144714 0.437590 0.322900 +-0.028506 1.297365 1.392485 -0.896098 -0.419602 -0.144714 0.457293 0.305961 +-0.015475 1.277939 1.442679 -0.460298 -0.865639 -0.196964 0.386882 0.234798 +-0.000349 1.269924 1.442555 -0.460298 -0.865639 -0.196964 0.403325 0.240086 +-0.025818 1.262478 1.534800 -0.460298 -0.865639 -0.196964 0.375639 0.244998 +-0.000372 1.250020 1.537030 -0.418641 -0.888624 -0.187317 0.403299 0.253217 +-0.025818 1.262478 1.534800 -0.418641 -0.888624 -0.187317 0.375639 0.244998 +-0.000349 1.269924 1.442555 -0.418641 -0.888624 -0.187317 0.403325 0.240086 +-0.036751 1.295993 1.537030 -0.940384 -0.295569 -0.168274 0.451150 0.299373 +-0.021517 1.300993 1.443114 -0.940384 -0.295569 -0.168274 0.463796 0.310561 +-0.025818 1.262478 1.534800 -0.940384 -0.295569 -0.168274 0.440737 0.322213 +-0.015475 1.277939 1.442679 -0.957204 -0.248051 -0.149102 0.455661 0.324993 +-0.025818 1.262478 1.534800 -0.957204 -0.248051 -0.149102 0.440737 0.322213 +-0.021517 1.300993 1.443114 -0.957204 -0.248051 -0.149102 0.463796 0.310561 +-0.015475 1.277939 1.475798 -0.464161 -0.873749 -0.145318 0.386882 0.234798 +-0.000349 1.269924 1.475675 -0.464161 -0.873749 -0.145318 0.403325 0.240086 +-0.023519 1.266891 1.567919 -0.464161 -0.873749 -0.145318 0.378138 0.242087 +-0.000372 1.255745 1.570149 -0.419313 -0.897772 -0.134843 0.403299 0.249440 +-0.023519 1.266891 1.567919 -0.419313 -0.897772 -0.134843 0.378138 0.242087 +-0.000349 1.269924 1.475675 -0.419313 -0.897772 -0.134843 0.403325 0.240086 +-0.034452 1.296174 1.570149 -0.930455 -0.336318 -0.145408 0.366254 0.222769 +-0.021517 1.300993 1.476233 -0.930455 -0.336318 -0.145408 0.380314 0.219589 +-0.023519 1.266891 1.567919 -0.930455 -0.336318 -0.145408 0.378138 0.242087 +-0.015475 1.277939 1.475798 -0.961557 -0.249856 -0.113928 0.386882 0.234798 +-0.023519 1.266891 1.567919 -0.961557 -0.249856 -0.113928 0.378138 0.242087 +-0.021517 1.300993 1.476233 -0.961557 -0.249856 -0.113928 0.380314 0.219589 +-0.012060 1.281023 1.519814 -0.513824 -0.844824 -0.149185 0.390594 0.232764 +-0.000351 1.274030 1.519087 -0.513824 -0.844824 -0.149185 0.403322 0.237377 +-0.018614 1.271634 1.595557 -0.513824 -0.844824 -0.149185 0.383470 0.238958 +-0.000373 1.262090 1.597562 -0.447718 -0.883982 -0.134624 0.403298 0.245254 +-0.018614 1.271634 1.595557 -0.447718 -0.883982 -0.134624 0.383470 0.238958 +-0.000351 1.274030 1.519087 -0.447718 -0.883982 -0.134624 0.403322 0.237377 +-0.027355 1.291280 1.597562 -0.913150 -0.396728 -0.093619 0.373969 0.225997 +-0.022072 1.297424 1.519996 -0.913150 -0.396728 -0.093619 0.379711 0.221944 +-0.018614 1.271634 1.595557 -0.913150 -0.396728 -0.093619 0.383470 0.238958 +-0.012060 1.281023 1.519814 -0.846153 -0.515015 -0.137058 0.390594 0.232764 +-0.018614 1.271634 1.595557 -0.846153 -0.515015 -0.137058 0.383470 0.238958 +-0.022072 1.297424 1.519996 -0.846153 -0.515015 -0.137058 0.379711 0.221944 +-0.007777 1.285707 1.583781 -0.533529 -0.828752 -0.168871 0.395250 0.229674 +-0.000345 1.280908 1.583852 -0.533529 -0.828752 -0.168871 0.403328 0.232839 +-0.013389 1.283752 1.611106 -0.533529 -0.828752 -0.168871 0.389150 0.230963 +-0.000428 1.276136 1.612066 -0.493061 -0.857572 -0.146495 0.403238 0.235988 +-0.013389 1.283752 1.611106 -0.493061 -0.857572 -0.146495 0.389150 0.230963 +-0.000345 1.280908 1.583852 -0.493061 -0.857572 -0.146495 0.403328 0.232839 +-0.020758 1.293944 1.612066 -0.799699 -0.557109 -0.223856 0.381139 0.224240 +-0.015212 1.297385 1.583690 -0.799699 -0.557109 -0.223856 0.387168 0.221970 +-0.013389 1.283752 1.611106 -0.799699 -0.557109 -0.223856 0.389150 0.230963 +-0.007777 1.285707 1.583781 -0.824540 -0.526571 -0.207018 0.395250 0.229674 +-0.013389 1.283752 1.611106 -0.824540 -0.526571 -0.207018 0.389150 0.230963 +-0.015212 1.297385 1.583690 -0.824540 -0.526571 -0.207018 0.387168 0.221970 +-0.167375 0.939125 -1.369772 -0.813935 0.258178 -0.520436 0.395292 0.410046 +-0.179524 0.916928 -1.361783 -0.813935 0.258178 -0.520436 0.375959 0.406161 +-0.173488 0.942559 -1.358508 -0.813935 0.258178 -0.520436 0.393850 0.403175 +-0.162901 0.929744 -1.378017 -0.756801 0.189014 -0.625721 0.392451 0.417387 +-0.179524 0.916928 -1.361783 -0.756801 0.189014 -0.625721 0.375959 0.406161 +-0.167375 0.939125 -1.369772 -0.756801 0.189014 -0.625721 0.395292 0.410046 +-0.161263 0.916928 -1.381035 -0.723795 0.069165 -0.686540 0.386089 0.423233 +-0.179524 0.916928 -1.361783 -0.723795 0.069165 -0.686540 0.375959 0.406161 +-0.162901 0.929744 -1.378017 -0.723795 0.069165 -0.686540 0.392451 0.417387 +-0.162901 0.904112 -1.378017 -0.723795 -0.069165 -0.686540 0.377910 0.426016 +-0.179524 0.916928 -1.361783 -0.723795 -0.069165 -0.686540 0.375959 0.406161 +-0.161263 0.916928 -1.381035 -0.723795 -0.069165 -0.686540 0.386089 0.423233 +-0.167375 0.894731 -1.369772 -0.756801 -0.189014 -0.625721 0.370105 0.424991 +-0.179524 0.916928 -1.361783 -0.756801 -0.189014 -0.625721 0.375959 0.406161 +-0.162901 0.904112 -1.378017 -0.756801 -0.189014 -0.625721 0.377910 0.426016 +-0.173488 0.891297 -1.358508 -0.813935 -0.258178 -0.520436 0.364766 0.420433 +-0.179524 0.916928 -1.361783 -0.813935 -0.258178 -0.520436 0.375959 0.406161 +-0.167375 0.894731 -1.369772 -0.813935 -0.258178 -0.520436 0.370105 0.424991 +-0.179601 0.894731 -1.347243 -0.879944 -0.258180 -0.398800 0.363323 0.413562 +-0.179524 0.916928 -1.361783 -0.879944 -0.258180 -0.398800 0.375959 0.406161 +-0.173488 0.891297 -1.358508 -0.879944 -0.258180 -0.398800 0.364766 0.420433 +-0.184075 0.904112 -1.338998 -0.937100 -0.188988 -0.293473 0.366164 0.406221 +-0.179524 0.916928 -1.361783 -0.937100 -0.188988 -0.293473 0.375959 0.406161 +-0.179601 0.894731 -1.347243 -0.937100 -0.188988 -0.293473 0.363323 0.413562 +-0.185713 0.916928 -1.335980 -0.970088 -0.069194 -0.232681 0.372526 0.400376 +-0.179524 0.916928 -1.361783 -0.970088 -0.069194 -0.232681 0.375959 0.406161 +-0.184075 0.904112 -1.338998 -0.970088 -0.069194 -0.232681 0.366164 0.406221 +-0.184075 0.929744 -1.338998 -0.970088 0.069194 -0.232681 0.380706 0.397592 +-0.179524 0.916928 -1.361783 -0.970088 0.069194 -0.232681 0.375959 0.406161 +-0.185713 0.916928 -1.335980 -0.970088 0.069194 -0.232681 0.372526 0.400376 +-0.179601 0.939125 -1.347243 -0.937100 0.188988 -0.293473 0.388511 0.398617 +-0.179524 0.916928 -1.361783 -0.937100 0.188988 -0.293473 0.375959 0.406161 +-0.184075 0.929744 -1.338998 -0.937100 0.188988 -0.293473 0.380706 0.397592 +-0.173488 0.942559 -1.358508 -0.879944 0.258180 -0.398800 0.393850 0.403175 +-0.179524 0.916928 -1.361783 -0.879944 0.258180 -0.398800 0.375959 0.406161 +-0.179601 0.939125 -1.347243 -0.879944 0.258180 -0.398800 0.388511 0.398617 +-0.159733 0.960337 -1.351043 -0.566450 0.650641 -0.505767 0.326369 0.366083 +-0.149381 0.954521 -1.370119 -0.566450 0.650641 -0.505767 0.337621 0.369919 +-0.173488 0.942559 -1.358508 -0.566450 0.650641 -0.505767 0.311417 0.377811 +-0.167375 0.939125 -1.369772 -0.566451 0.650637 -0.505772 0.318061 0.380076 +-0.173488 0.942559 -1.358508 -0.566451 0.650637 -0.505772 0.311417 0.377811 +-0.149381 0.954521 -1.370119 -0.566451 0.650637 -0.505772 0.337621 0.369919 +-0.149381 0.954521 -1.370119 -0.422407 0.476305 -0.771172 0.337621 0.369919 +-0.141802 0.938632 -1.384084 -0.422407 0.476305 -0.771172 0.345859 0.380401 +-0.167375 0.939125 -1.369772 -0.422407 0.476305 -0.771172 0.318061 0.380076 +-0.162901 0.929744 -1.378017 -0.422402 0.476325 -0.771162 0.322925 0.386265 +-0.167375 0.939125 -1.369772 -0.422402 0.476325 -0.771162 0.318061 0.380076 +-0.141802 0.938632 -1.384084 -0.422402 0.476325 -0.771162 0.345859 0.380401 +-0.141802 0.938632 -1.384084 -0.339261 0.174365 -0.924391 0.345859 0.380401 +-0.139028 0.916928 -1.389196 -0.339261 0.174365 -0.924391 0.348874 0.394720 +-0.162901 0.929744 -1.378017 -0.339261 0.174365 -0.924391 0.322925 0.386265 +-0.161263 0.916928 -1.381035 -0.339285 0.174320 -0.924391 0.324706 0.394720 +-0.162901 0.929744 -1.378017 -0.339285 0.174320 -0.924391 0.322925 0.386265 +-0.139028 0.916928 -1.389196 -0.339285 0.174320 -0.924391 0.348874 0.394720 +-0.139028 0.916928 -1.389196 -0.339283 -0.174361 -0.924384 0.348874 0.394720 +-0.141802 0.895224 -1.384084 -0.339283 -0.174361 -0.924384 0.345859 0.409038 +-0.161263 0.916928 -1.381035 -0.339283 -0.174361 -0.924384 0.324706 0.394720 +-0.162901 0.904112 -1.378017 -0.339249 -0.174327 -0.924403 0.322925 0.403174 +-0.161263 0.916928 -1.381035 -0.339249 -0.174327 -0.924403 0.324706 0.394720 +-0.141802 0.895224 -1.384084 -0.339249 -0.174327 -0.924403 0.345859 0.409038 +-0.141802 0.895224 -1.384084 -0.422398 -0.476310 -0.771173 0.345859 0.409038 +-0.149381 0.879335 -1.370119 -0.422398 -0.476310 -0.771173 0.337621 0.419520 +-0.162901 0.904112 -1.378017 -0.422398 -0.476310 -0.771173 0.322925 0.403174 +-0.167375 0.894731 -1.369772 -0.422417 -0.476316 -0.771160 0.318061 0.409364 +-0.162901 0.904112 -1.378017 -0.422417 -0.476316 -0.771160 0.322925 0.403174 +-0.149381 0.879335 -1.370119 -0.422417 -0.476316 -0.771160 0.337621 0.419520 +-0.149381 0.879335 -1.370119 -0.566462 -0.650651 -0.505742 0.337621 0.419520 +-0.159733 0.873520 -1.351043 -0.566462 -0.650651 -0.505742 0.326369 0.423357 +-0.167375 0.894731 -1.369772 -0.566462 -0.650651 -0.505742 0.318061 0.409364 +-0.173488 0.891297 -1.358508 -0.566428 -0.650661 -0.505767 0.311417 0.411629 +-0.167375 0.894731 -1.369772 -0.566428 -0.650661 -0.505767 0.318061 0.409364 +-0.159733 0.873520 -1.351043 -0.566428 -0.650661 -0.505767 0.326369 0.423357 +-0.159733 0.873520 -1.351043 -0.732749 -0.650660 -0.199301 0.362310 0.439276 +-0.170085 0.879335 -1.331967 -0.732749 -0.650660 -0.199301 0.359867 0.427641 +-0.173488 0.891297 -1.358508 -0.732749 -0.650660 -0.199301 0.364766 0.420433 +-0.179601 0.894731 -1.347243 -0.732762 -0.650647 -0.199293 0.363323 0.413562 +-0.173488 0.891297 -1.358508 -0.732762 -0.650647 -0.199293 0.364766 0.420433 +-0.170085 0.879335 -1.331967 -0.732762 -0.650647 -0.199293 0.359867 0.427641 +-0.170085 0.879335 -1.331967 -0.876790 -0.476303 0.066141 0.359867 0.427641 +-0.177663 0.895224 -1.318002 -0.876790 -0.476303 0.066141 0.364678 0.415207 +-0.179601 0.894731 -1.347243 -0.876790 -0.476303 0.066141 0.363323 0.413562 +-0.184075 0.904112 -1.338998 -0.876795 -0.476294 0.066141 0.366164 0.406221 +-0.179601 0.894731 -1.347243 -0.876795 -0.476294 0.066141 0.363323 0.413562 +-0.177663 0.895224 -1.318002 -0.876795 -0.476294 0.066141 0.364678 0.415207 +-0.177663 0.895224 -1.318002 -0.959941 -0.174354 0.219351 0.364678 0.415207 +-0.180437 0.916928 -1.312890 -0.959941 -0.174354 0.219351 0.375453 0.405308 +-0.184075 0.904112 -1.338998 -0.959941 -0.174354 0.219351 0.366164 0.406221 +-0.185713 0.916928 -1.335980 -0.959945 -0.174340 0.219344 0.372526 0.400376 +-0.184075 0.904112 -1.338998 -0.959945 -0.174340 0.219344 0.366164 0.406221 +-0.180437 0.916928 -1.312890 -0.959945 -0.174340 0.219344 0.375453 0.405308 +-0.180437 0.916928 -1.312890 -0.959942 0.174353 0.219344 0.375453 0.405308 +-0.177663 0.938632 -1.318002 -0.959942 0.174353 0.219344 0.389305 0.400594 +-0.185713 0.916928 -1.335980 -0.959942 0.174353 0.219344 0.372526 0.400376 +-0.184075 0.929744 -1.338998 -0.959942 0.174342 0.219356 0.380706 0.397592 +-0.185713 0.916928 -1.335980 -0.959942 0.174342 0.219356 0.372526 0.400376 +-0.177663 0.938632 -1.318002 -0.959942 0.174342 0.219356 0.389305 0.400594 +-0.177663 0.938632 -1.318002 -0.876792 0.476301 0.066138 0.389305 0.400594 +-0.170085 0.954521 -1.331967 -0.876792 0.476301 0.066138 0.402524 0.402330 +-0.184075 0.929744 -1.338998 -0.876792 0.476301 0.066138 0.380706 0.397592 +-0.179601 0.939125 -1.347243 -0.876792 0.476298 0.066147 0.388511 0.398617 +-0.184075 0.929744 -1.338998 -0.876792 0.476298 0.066147 0.380706 0.397592 +-0.170085 0.954521 -1.331967 -0.876792 0.476298 0.066147 0.402524 0.402330 +-0.170085 0.954521 -1.331967 -0.732770 0.650641 -0.199283 0.402524 0.402330 +-0.159733 0.960337 -1.351043 -0.732770 0.650641 -0.199283 0.411565 0.410049 +-0.179601 0.939125 -1.347243 -0.732770 0.650641 -0.199283 0.388511 0.398617 +-0.173488 0.942559 -1.358508 -0.732769 0.650638 -0.199300 0.393850 0.403175 +-0.179601 0.939125 -1.347243 -0.732769 0.650638 -0.199300 0.388511 0.398617 +-0.159733 0.960337 -1.351043 -0.732769 0.650638 -0.199300 0.411565 0.410049 +-0.135179 0.965356 -1.337718 -0.028655 0.951706 -0.305669 0.353059 0.362771 +-0.123630 0.958868 -1.359001 -0.028655 0.951706 -0.305669 0.365613 0.367051 +-0.159733 0.960337 -1.351043 -0.028655 0.951706 -0.305669 0.326369 0.366083 +-0.149381 0.954521 -1.370119 -0.028665 0.951692 -0.305712 0.337621 0.369919 +-0.159733 0.960337 -1.351043 -0.028665 0.951692 -0.305712 0.326369 0.366083 +-0.123630 0.958868 -1.359001 -0.028665 0.951692 -0.305712 0.365613 0.367051 +-0.123630 0.958868 -1.359001 0.181982 0.696694 -0.693902 0.365613 0.367051 +-0.115175 0.941142 -1.374581 0.181982 0.696694 -0.693902 0.374803 0.378745 +-0.149381 0.954521 -1.370119 0.181982 0.696694 -0.693902 0.337621 0.369919 +-0.141802 0.938632 -1.384084 0.181978 0.696688 -0.693909 0.345859 0.380401 +-0.149381 0.954521 -1.370119 0.181978 0.696688 -0.693909 0.337621 0.369919 +-0.115175 0.941142 -1.374581 0.181978 0.696688 -0.693909 0.374803 0.378745 +-0.115175 0.941142 -1.374581 0.303607 0.254991 -0.918043 0.374803 0.378745 +-0.112080 0.916928 -1.380283 0.303607 0.254991 -0.918043 0.378167 0.394720 +-0.141802 0.938632 -1.384084 0.303607 0.254991 -0.918043 0.345859 0.380401 +-0.139028 0.916928 -1.389196 0.303635 0.255034 -0.918021 0.348874 0.394720 +-0.141802 0.938632 -1.384084 0.303635 0.255034 -0.918021 0.345859 0.380401 +-0.112080 0.916928 -1.380283 0.303635 0.255034 -0.918021 0.378167 0.394720 +-0.112080 0.916928 -1.380283 0.303639 -0.254993 -0.918032 0.378167 0.394720 +-0.115175 0.892714 -1.374581 0.303639 -0.254993 -0.918032 0.374803 0.410694 +-0.139028 0.916928 -1.389196 0.303639 -0.254993 -0.918032 0.348874 0.394720 +-0.141802 0.895224 -1.384084 0.303600 -0.255032 -0.918034 0.345859 0.409038 +-0.139028 0.916928 -1.389196 0.303600 -0.255032 -0.918034 0.348874 0.394720 +-0.115175 0.892714 -1.374581 0.303600 -0.255032 -0.918034 0.374803 0.410694 +-0.115175 0.892714 -1.374581 0.181977 -0.696694 -0.693904 0.374803 0.410694 +-0.123630 0.874988 -1.359001 0.181977 -0.696694 -0.693904 0.365613 0.422388 +-0.141802 0.895224 -1.384084 0.181977 -0.696694 -0.693904 0.345859 0.409038 +-0.149381 0.879335 -1.370119 0.181986 -0.696689 -0.693906 0.337621 0.419520 +-0.141802 0.895224 -1.384084 0.181986 -0.696689 -0.693906 0.345859 0.409038 +-0.123630 0.874988 -1.359001 0.181986 -0.696689 -0.693906 0.365613 0.422388 +-0.123630 0.874988 -1.359001 -0.028677 -0.951702 -0.305683 0.365613 0.422388 +-0.135179 0.868500 -1.337718 -0.028677 -0.951702 -0.305683 0.353059 0.426669 +-0.149381 0.879335 -1.370119 -0.028677 -0.951702 -0.305683 0.337621 0.419520 +-0.159733 0.873520 -1.351043 -0.028689 -0.951703 -0.305678 0.326369 0.423357 +-0.149381 0.879335 -1.370119 -0.028689 -0.951703 -0.305678 0.337621 0.419520 +-0.135179 0.868500 -1.337718 -0.028689 -0.951703 -0.305678 0.353059 0.426669 +-0.135179 0.868500 -1.337718 -0.271934 -0.951699 0.142553 0.353059 0.426669 +-0.146729 0.874988 -1.316436 -0.271934 -0.951699 0.142553 0.340504 0.422388 +-0.159733 0.873520 -1.351043 -0.271934 -0.951699 0.142553 0.326369 0.423357 +-0.170085 0.879335 -1.331967 -0.271918 -0.951704 0.142547 0.315116 0.419520 +-0.159733 0.873520 -1.351043 -0.271918 -0.951704 0.142547 0.326369 0.423357 +-0.146729 0.874988 -1.316436 -0.271918 -0.951704 0.142547 0.340504 0.422388 +-0.146729 0.874988 -1.316436 -0.482610 -0.696684 0.530771 0.370356 0.450939 +-0.155183 0.892714 -1.300856 -0.482610 -0.696684 0.530771 0.375723 0.437067 +-0.170085 0.879335 -1.331967 -0.482610 -0.696684 0.530771 0.359867 0.427641 +-0.177663 0.895224 -1.318002 -0.482618 -0.696678 0.530772 0.364678 0.415207 +-0.170085 0.879335 -1.331967 -0.482618 -0.696678 0.530772 0.359867 0.427641 +-0.155183 0.892714 -1.300856 -0.482618 -0.696678 0.530772 0.375723 0.437067 +-0.155183 0.892714 -1.300856 -0.604245 -0.255000 0.754893 0.375723 0.437067 +-0.158278 0.916928 -1.295154 -0.604245 -0.255000 0.754893 0.387745 0.426023 +-0.177663 0.895224 -1.318002 -0.604245 -0.255000 0.754893 0.364678 0.415207 +-0.180437 0.916928 -1.312890 -0.604223 -0.255027 0.754901 0.375453 0.405308 +-0.177663 0.895224 -1.318002 -0.604223 -0.255027 0.754901 0.364678 0.415207 +-0.158278 0.916928 -1.295154 -0.604223 -0.255027 0.754901 0.387745 0.426023 +-0.158278 0.916928 -1.295154 -0.604228 0.255000 0.754906 0.387745 0.426023 +-0.155183 0.941142 -1.300856 -0.604228 0.255000 0.754906 0.403199 0.420764 +-0.180437 0.916928 -1.312890 -0.604228 0.255000 0.754906 0.375453 0.405308 +-0.177663 0.938632 -1.318002 -0.604243 0.255026 0.754886 0.389305 0.400594 +-0.180437 0.916928 -1.312890 -0.604243 0.255026 0.754886 0.375453 0.405308 +-0.155183 0.941142 -1.300856 -0.604243 0.255026 0.754886 0.403199 0.420764 +-0.155183 0.941142 -1.300856 -0.482616 0.696684 0.530767 0.403199 0.420764 +-0.146729 0.958868 -1.316436 -0.482616 0.696684 0.530767 0.417946 0.422700 +-0.177663 0.938632 -1.318002 -0.482616 0.696684 0.530767 0.389305 0.400594 +-0.170085 0.954521 -1.331967 -0.482614 0.696679 0.530775 0.402524 0.402330 +-0.177663 0.938632 -1.318002 -0.482614 0.696679 0.530775 0.389305 0.400594 +-0.146729 0.958868 -1.316436 -0.482614 0.696679 0.530775 0.417946 0.422700 +-0.146729 0.958868 -1.316436 -0.271926 0.951701 0.142555 0.340504 0.367051 +-0.135179 0.965356 -1.337718 -0.271926 0.951701 0.142555 0.353059 0.362771 +-0.170085 0.954521 -1.331967 -0.271926 0.951701 0.142555 0.315116 0.369919 +-0.159733 0.960337 -1.351043 -0.271918 0.951697 0.142596 0.326369 0.366083 +-0.170085 0.954521 -1.331967 -0.271918 0.951697 0.142596 0.315116 0.369919 +-0.135179 0.965356 -1.337718 -0.271918 0.951697 0.142596 0.353059 0.362771 +-0.249671 1.176748 -1.449145 0.893153 0.002660 0.449746 0.484458 0.253119 +-0.258912 1.174341 -1.430779 0.893153 0.002660 0.449746 0.477966 0.245290 +-0.258485 1.170118 -1.431602 0.893153 0.002660 0.449746 0.475807 0.247111 +-0.249671 1.176748 -1.449145 0.824090 -0.523594 0.216159 0.484458 0.253119 +-0.258485 1.170118 -1.431602 0.824090 -0.523594 0.216159 0.475807 0.247111 +-0.259865 1.166871 -1.434206 0.824090 -0.523594 0.216159 0.473200 0.246914 +-0.249671 1.176748 -1.449145 0.538532 -0.823769 -0.177164 0.484458 0.253119 +-0.259865 1.166871 -1.434206 0.538532 -0.823769 -0.177164 0.473200 0.246914 +-0.262486 1.165891 -1.437617 0.538532 -0.823769 -0.177164 0.471190 0.244794 +-0.249671 1.176748 -1.449145 0.108815 -0.781182 -0.614747 0.484458 0.253119 +-0.262486 1.165891 -1.437617 0.108815 -0.781182 -0.614747 0.471190 0.244794 +-0.265684 1.167361 -1.440051 0.108815 -0.781182 -0.614747 0.470250 0.241309 +-0.249671 1.176748 -1.449145 -0.287402 -0.366873 -0.884762 0.484458 0.253119 +-0.265684 1.167361 -1.440051 -0.287402 -0.366873 -0.884762 0.470250 0.241309 +-0.268306 1.170797 -1.440624 -0.287402 -0.366873 -0.884762 0.470745 0.237701 +-0.249671 1.176748 -1.449145 -0.456481 0.182566 -0.870801 0.484458 0.253119 +-0.268306 1.170797 -1.440624 -0.456481 0.182566 -0.870801 0.470745 0.237701 +-0.269087 1.175026 -1.439328 -0.456481 0.182566 -0.870801 0.472711 0.235548 +-0.249671 1.176748 -1.449145 -0.375544 0.686837 -0.622272 0.484458 0.253119 +-0.269087 1.175026 -1.439328 -0.375544 0.686837 -0.622272 0.472711 0.235548 +-0.267857 1.178335 -1.436418 -0.375544 0.686837 -0.622272 0.475271 0.235583 +-0.249671 1.176748 -1.449145 -0.087199 0.965593 -0.245002 0.484458 0.253119 +-0.267857 1.178335 -1.436418 -0.087199 0.965593 -0.245002 0.475271 0.235583 +-0.264932 1.179409 -1.433226 -0.087199 0.965593 -0.245002 0.477503 0.237956 +-0.249671 1.176748 -1.449145 0.323580 0.933559 0.154154 0.484458 0.253119 +-0.264932 1.179409 -1.433226 0.323580 0.933559 0.154154 0.477503 0.237956 +-0.261355 1.177856 -1.431329 0.323580 0.933559 0.154154 0.478606 0.241823 +-0.249671 1.176748 -1.449145 0.708505 0.559691 0.429844 0.484458 0.253119 +-0.261355 1.177856 -1.431329 0.708505 0.559691 0.429844 0.478606 0.241823 +-0.258912 1.174341 -1.430779 0.708505 0.559691 0.429844 0.477966 0.245290 +-0.280601 1.147629 -1.383995 0.940903 0.331974 0.067046 0.450780 0.234007 +-0.284070 1.157102 -1.382217 0.940903 0.331974 0.067046 0.454231 0.227575 +-0.277886 1.135619 -1.362630 0.940903 0.331974 0.067046 0.445473 0.240588 +-0.283686 1.147220 -1.359002 0.902135 0.402161 0.156267 0.448838 0.231261 +-0.277886 1.135619 -1.362630 0.902135 0.402161 0.156267 0.445473 0.240588 +-0.284070 1.157102 -1.382217 0.902135 0.402161 0.156267 0.454231 0.227575 +-0.282084 1.140100 -1.390649 0.987336 -0.067669 -0.143485 0.445686 0.235155 +-0.280601 1.147629 -1.383995 0.987336 -0.067669 -0.143485 0.450780 0.234007 +-0.280020 1.123823 -1.368770 0.987336 -0.067669 -0.143485 0.437596 0.242564 +-0.277886 1.135619 -1.362630 0.980955 -0.087094 -0.173615 0.445473 0.240588 +-0.280020 1.123823 -1.368770 0.980955 -0.087094 -0.173615 0.437596 0.242564 +-0.280601 1.147629 -1.383995 0.980955 -0.087094 -0.173615 0.450780 0.234007 +-0.287731 1.137627 -1.399218 0.787470 -0.486387 -0.378575 0.441151 0.230708 +-0.282084 1.140100 -1.390649 0.787470 -0.486387 -0.378575 0.445686 0.235155 +-0.289273 1.116339 -1.375075 0.787470 -0.486387 -0.378575 0.428218 0.236434 +-0.280020 1.123823 -1.368770 0.726549 -0.516695 -0.452938 0.437596 0.242564 +-0.289273 1.116339 -1.375075 0.726549 -0.516695 -0.452938 0.428218 0.236434 +-0.282084 1.140100 -1.390649 0.726549 -0.516695 -0.452938 0.445686 0.235155 +-0.294990 1.140857 -1.406136 0.256684 -0.744126 -0.616758 0.438957 0.222836 +-0.287731 1.137627 -1.399218 0.256684 -0.744126 -0.616758 0.441151 0.230708 +-0.302110 1.116024 -1.379138 0.256684 -0.744126 -0.616758 0.420919 0.224540 +-0.289273 1.116339 -1.375075 0.219818 -0.738639 -0.637254 0.428218 0.236434 +-0.302110 1.116024 -1.379138 0.219818 -0.738639 -0.637254 0.420919 0.224540 +-0.287731 1.137627 -1.399218 0.219818 -0.738639 -0.637254 0.441151 0.230708 +-0.301114 1.148293 -1.408959 -0.411014 -0.599290 -0.686964 0.439779 0.214607 +-0.294990 1.140857 -1.406136 -0.411014 -0.599290 -0.686964 0.438957 0.222836 +-0.313628 1.122999 -1.379406 -0.411014 -0.599290 -0.686964 0.418487 0.211424 +-0.302110 1.116024 -1.379138 -0.368071 -0.633945 -0.680175 0.420919 0.224540 +-0.313628 1.122999 -1.379406 -0.368071 -0.633945 -0.680175 0.418487 0.211424 +-0.294990 1.140857 -1.406136 -0.368071 -0.633945 -0.680175 0.438957 0.222836 +-0.304027 1.157166 -1.406916 -0.836878 -0.153787 -0.525342 0.443197 0.208897 +-0.301114 1.148293 -1.408959 -0.836878 -0.153787 -0.525342 0.439779 0.214607 +-0.319427 1.134601 -1.375778 -0.836878 -0.153787 -0.525342 0.421852 0.202097 +-0.313628 1.122999 -1.379406 -0.807150 -0.233946 -0.542013 0.418487 0.211424 +-0.319427 1.134601 -1.375778 -0.807150 -0.233946 -0.542013 0.421852 0.202097 +-0.301114 1.148293 -1.408959 -0.807150 -0.233946 -0.542013 0.439779 0.214607 +-0.302810 1.164291 -1.400832 -0.910818 0.346789 -0.223939 0.447915 0.207636 +-0.304027 1.157166 -1.406916 -0.910818 0.346789 -0.223939 0.443197 0.208897 +-0.317293 1.146396 -1.369638 -0.910818 0.346789 -0.223939 0.429728 0.200121 +-0.319427 1.134601 -1.375778 -0.924120 0.294151 -0.243880 0.421852 0.202097 +-0.317293 1.146396 -1.369638 -0.924120 0.294151 -0.243880 0.429728 0.200121 +-0.304027 1.157166 -1.406916 -0.924120 0.294151 -0.243880 0.443197 0.208897 +-0.297857 1.167120 -1.392846 -0.634576 0.762961 0.123301 0.452267 0.211314 +-0.302810 1.164291 -1.400832 -0.634576 0.762961 0.123301 0.447915 0.207636 +-0.308040 1.153881 -1.363333 -0.634576 0.762961 0.123301 0.439107 0.206251 +-0.317293 1.146396 -1.369638 -0.669503 0.734539 0.110539 0.429728 0.200121 +-0.308040 1.153881 -1.363333 -0.669503 0.734539 0.110539 0.439107 0.206251 +-0.302810 1.164291 -1.400832 -0.669503 0.734539 0.110539 0.447915 0.207636 +-0.290769 1.164499 -1.385752 -0.015671 0.932721 0.360258 0.454712 0.218823 +-0.297857 1.167120 -1.392846 -0.015671 0.932721 0.360258 0.452267 0.211314 +-0.295204 1.154196 -1.359270 -0.015671 0.932721 0.360258 0.446406 0.218145 +-0.308040 1.153881 -1.363333 -0.138216 0.920584 0.365269 0.439107 0.206251 +-0.295204 1.154196 -1.359270 -0.138216 0.920584 0.365269 0.446406 0.218145 +-0.297857 1.167120 -1.392846 -0.138216 0.920584 0.365269 0.452267 0.211314 +-0.284070 1.157102 -1.382217 0.634410 0.714967 0.293848 0.454231 0.227575 +-0.290769 1.164499 -1.385752 0.634410 0.714967 0.293848 0.454712 0.218823 +-0.283686 1.147220 -1.359002 0.634410 0.714967 0.293848 0.448838 0.231261 +-0.295204 1.154196 -1.359270 0.471024 0.792578 0.387242 0.446406 0.218145 +-0.283686 1.147220 -1.359002 0.471024 0.792578 0.387242 0.448838 0.231261 +-0.290769 1.164499 -1.385752 0.471024 0.792578 0.387242 0.454712 0.218823 +-0.277886 1.135619 -1.362630 0.867325 0.477532 -0.140393 0.445473 0.240588 +-0.283686 1.147220 -1.359002 0.867325 0.477532 -0.140393 0.448838 0.231261 +-0.269323 1.125993 -1.342471 0.867325 0.477532 -0.140393 0.444762 0.251834 +-0.279711 1.133962 -1.332219 0.720604 0.657938 0.218740 0.443520 0.239439 +-0.269323 1.125993 -1.342471 0.720604 0.657938 0.218740 0.444762 0.251834 +-0.283686 1.147220 -1.359002 0.720604 0.657938 0.218740 0.448838 0.231261 +-0.280020 1.123823 -1.368770 0.820851 0.139752 -0.553780 0.437596 0.242564 +-0.277886 1.135619 -1.362630 0.820851 0.139752 -0.553780 0.445473 0.240588 +-0.267450 1.113072 -1.352851 0.820851 0.139752 -0.553780 0.438470 0.257934 +-0.269323 1.125993 -1.342471 0.916884 0.322193 -0.235619 0.444762 0.251834 +-0.267450 1.113072 -1.352851 0.916884 0.322193 -0.235619 0.438470 0.257934 +-0.277886 1.135619 -1.362630 0.916884 0.322193 -0.235619 0.445473 0.240588 +-0.289273 1.116339 -1.375075 0.634877 -0.145728 -0.758745 0.428218 0.236434 +-0.280020 1.123823 -1.368770 0.634877 -0.145728 -0.758745 0.437596 0.242564 +-0.274699 1.099968 -1.359736 0.634877 -0.145728 -0.758745 0.427014 0.255569 +-0.267450 1.113072 -1.352851 0.756455 -0.077226 -0.649470 0.438470 0.257934 +-0.274699 1.099968 -1.359736 0.756455 -0.077226 -0.649470 0.427014 0.255569 +-0.280020 1.123823 -1.368770 0.756455 -0.077226 -0.649470 0.437596 0.242564 +-0.302110 1.116024 -1.379138 0.275587 -0.478705 -0.833603 0.420919 0.224540 +-0.289273 1.116339 -1.375075 0.275587 -0.478705 -0.833603 0.428218 0.236434 +-0.288424 1.091233 -1.360377 0.275587 -0.478705 -0.833603 0.414445 0.245679 +-0.274699 1.099968 -1.359736 0.335680 -0.467432 -0.817818 0.427014 0.255569 +-0.288424 1.091233 -1.360377 0.335680 -0.467432 -0.817818 0.414445 0.245679 +-0.289273 1.116339 -1.375075 0.335680 -0.467432 -0.817818 0.428218 0.236434 +-0.313628 1.122999 -1.379406 -0.367175 -0.632532 -0.681972 0.418487 0.211424 +-0.302110 1.116024 -1.379138 -0.367175 -0.632532 -0.681972 0.420919 0.224540 +-0.303655 1.090079 -1.354242 -0.367175 -0.632532 -0.681972 0.405342 0.231829 +-0.288424 1.091233 -1.360377 -0.234865 -0.665685 -0.708310 0.414445 0.245679 +-0.303655 1.090079 -1.354242 -0.234865 -0.665685 -0.708310 0.405342 0.231829 +-0.302110 1.116024 -1.379138 -0.234865 -0.665685 -0.708310 0.420919 0.224540 +-0.319427 1.134601 -1.375778 -0.890699 -0.357314 -0.281039 0.421852 0.202097 +-0.313628 1.122999 -1.379406 -0.890699 -0.357314 -0.281039 0.418487 0.211424 +-0.314641 1.097327 -1.343556 -0.890699 -0.357314 -0.281039 0.403360 0.219119 +-0.303655 1.090079 -1.354242 -0.743784 -0.533324 -0.402928 0.405342 0.231829 +-0.314641 1.097327 -1.343556 -0.743784 -0.533324 -0.402928 0.403360 0.219119 +-0.313628 1.122999 -1.379406 -0.743784 -0.533324 -0.402928 0.418487 0.211424 +-0.317293 1.146396 -1.369638 -0.985890 0.115101 0.121546 0.429728 0.200121 +-0.319427 1.134601 -1.375778 -0.985890 0.115101 0.121546 0.421852 0.202097 +-0.316908 1.110568 -1.332587 -0.985890 0.115101 0.121546 0.409615 0.212543 +-0.314641 1.097327 -1.343556 -0.988589 -0.148547 -0.024999 0.403360 0.219119 +-0.316908 1.110568 -1.332587 -0.988589 -0.148547 -0.024999 0.409615 0.212543 +-0.319427 1.134601 -1.375778 -0.988589 -0.148547 -0.024999 0.421852 0.202097 +-0.308040 1.153881 -1.363333 -0.725880 0.554303 0.407243 0.439107 0.206251 +-0.317293 1.146396 -1.369638 -0.725880 0.554303 0.407243 0.429728 0.200121 +-0.309341 1.124591 -1.325785 -0.725880 0.554303 0.407243 0.421768 0.214895 +-0.316908 1.110568 -1.332587 -0.889581 0.323711 0.322269 0.409615 0.212543 +-0.309341 1.124591 -1.325785 -0.889581 0.323711 0.322269 0.421768 0.214895 +-0.317293 1.146396 -1.369638 -0.889581 0.323711 0.322269 0.429728 0.200121 +-0.295204 1.154196 -1.359270 -0.183846 0.836668 0.515933 0.446406 0.218145 +-0.308040 1.153881 -1.363333 -0.183846 0.836668 0.515933 0.439107 0.206251 +-0.294992 1.133573 -1.325751 -0.183846 0.836668 0.515933 0.434823 0.225286 +-0.309341 1.124591 -1.325785 -0.447367 0.712626 0.540396 0.421768 0.214895 +-0.294992 1.133573 -1.325751 -0.447367 0.712626 0.540396 0.434823 0.225286 +-0.308040 1.153881 -1.363333 -0.447367 0.712626 0.540396 0.439107 0.206251 +-0.283686 1.147220 -1.359002 0.483469 0.810914 0.329660 0.448838 0.231261 +-0.295204 1.154196 -1.359270 0.483469 0.810914 0.329660 0.446406 0.218145 +-0.279711 1.133962 -1.332219 0.483469 0.810914 0.329660 0.443520 0.239439 +-0.294992 1.133573 -1.325751 0.195854 0.835763 0.512974 0.434823 0.225286 +-0.279711 1.133962 -1.332219 0.195854 0.835763 0.512974 0.443520 0.239439 +-0.295204 1.154196 -1.359270 0.195854 0.835763 0.512974 0.446406 0.218145 +-0.254991 1.115359 -1.321908 0.221138 0.966627 -0.129341 0.446678 0.268811 +-0.268611 1.120257 -1.308589 0.221138 0.966627 -0.129341 0.441902 0.254430 +-0.242521 1.114672 -1.305722 0.221138 0.966627 -0.129341 0.453205 0.280699 +-0.258017 1.110665 -1.289274 0.155482 0.916070 0.369651 0.442336 0.267562 +-0.242521 1.114672 -1.305722 0.155482 0.916070 0.369651 0.453205 0.280699 +-0.268611 1.120257 -1.308589 0.155482 0.916070 0.369651 0.441902 0.254430 +-0.249913 1.102068 -1.335757 0.312775 0.739982 -0.595482 0.441954 0.278033 +-0.254991 1.115359 -1.321908 0.312775 0.739982 -0.595482 0.446678 0.268811 +-0.230654 1.104962 -1.322045 0.312775 0.739982 -0.595482 0.454279 0.295062 +-0.242521 1.114672 -1.305722 0.378763 0.889947 -0.254033 0.453205 0.280699 +-0.230654 1.104962 -1.322045 0.378763 0.889947 -0.254033 0.454279 0.295062 +-0.254991 1.115359 -1.321908 0.378763 0.889947 -0.254033 0.446678 0.268811 +-0.254575 1.085416 -1.344734 0.393977 0.348246 -0.850592 0.429921 0.279280 +-0.249913 1.102068 -1.335757 0.393977 0.348246 -0.850592 0.441954 0.278033 +-0.226949 1.085243 -1.332009 0.393977 0.348246 -0.850592 0.445146 0.305164 +-0.230654 1.104962 -1.322045 0.465096 0.467306 -0.751871 0.454279 0.295062 +-0.226949 1.085243 -1.332009 0.465096 0.467306 -0.751871 0.445146 0.305164 +-0.249913 1.102068 -1.335757 0.465096 0.467306 -0.751871 0.441954 0.278033 +-0.268398 1.071792 -1.346147 0.316126 -0.225161 -0.921611 0.414523 0.270945 +-0.254575 1.085416 -1.344734 0.316126 -0.225161 -0.921611 0.429921 0.279280 +-0.232821 1.063047 -1.331807 0.316126 -0.225161 -0.921611 0.429297 0.307148 +-0.226949 1.085243 -1.332009 0.414838 -0.117955 -0.902217 0.445146 0.305164 +-0.232821 1.063047 -1.331807 0.414838 -0.117955 -0.902217 0.429297 0.307148 +-0.254575 1.085416 -1.344734 0.414838 -0.117955 -0.902217 0.429921 0.279280 +-0.286584 1.068407 -1.340647 -0.052853 -0.762935 -0.644311 0.402515 0.255084 +-0.268398 1.071792 -1.346147 -0.052853 -0.762935 -0.644311 0.414523 0.270945 +-0.242675 1.050723 -1.323309 -0.052853 -0.762935 -0.644311 0.416838 0.302084 +-0.232821 1.063047 -1.331807 0.147429 -0.638654 -0.755239 0.429297 0.307148 +-0.242675 1.050723 -1.323309 0.147429 -0.638654 -0.755239 0.416838 0.302084 +-0.268398 1.071792 -1.346147 0.147429 -0.638654 -0.755239 0.414523 0.270945 +-0.303199 1.075418 -1.329213 -0.455414 -0.882027 -0.120944 0.397276 0.237191 +-0.286584 1.068407 -1.340647 -0.455414 -0.882027 -0.120944 0.402515 0.255084 +-0.254444 1.046883 -1.304698 -0.455414 -0.882027 -0.120944 0.408132 0.292375 +-0.242675 1.050723 -1.323309 -0.234469 -0.912044 -0.336451 0.416838 0.302084 +-0.254444 1.046883 -1.304698 -0.234469 -0.912044 -0.336451 0.408132 0.292375 +-0.286584 1.068407 -1.340647 -0.234469 -0.912044 -0.336451 0.402515 0.255084 +-0.308545 1.089215 -1.316096 -0.706274 -0.611992 0.355868 0.402139 0.227549 +-0.303199 1.075418 -1.329213 -0.706274 -0.611992 0.355868 0.397276 0.237191 +-0.266311 1.056594 -1.288375 -0.706274 -0.611992 0.355868 0.407058 0.278012 +-0.254444 1.046883 -1.304698 -0.540683 -0.834825 0.103580 0.408132 0.292375 +-0.266311 1.056594 -1.288375 -0.540683 -0.834825 0.103580 0.407058 0.278012 +-0.303199 1.075418 -1.329213 -0.540683 -0.834825 0.103580 0.397276 0.237191 +-0.301231 1.104480 -1.305795 -0.714617 -0.122365 0.688730 0.414857 0.229247 +-0.308545 1.089215 -1.316096 -0.714617 -0.122365 0.688730 0.402139 0.227549 +-0.270016 1.076313 -1.278411 -0.714617 -0.122365 0.688730 0.416191 0.267910 +-0.266311 1.056594 -1.288375 -0.702236 -0.421766 0.573566 0.407058 0.278012 +-0.270016 1.076313 -1.278411 -0.702236 -0.421766 0.573566 0.416191 0.267910 +-0.308545 1.089215 -1.316096 -0.702236 -0.421766 0.573566 0.402139 0.227549 +-0.285179 1.116210 -1.302507 -0.481960 0.448574 0.752659 0.430416 0.240304 +-0.301231 1.104480 -1.305795 -0.481960 0.448574 0.752659 0.414857 0.229247 +-0.267872 1.098341 -1.280775 -0.481960 0.448574 0.752659 0.429878 0.262499 +-0.270016 1.076313 -1.278411 -0.576979 0.142464 0.804238 0.416191 0.267910 +-0.267872 1.098341 -1.280775 -0.576979 0.142464 0.804238 0.429878 0.262499 +-0.301231 1.104480 -1.305795 -0.576979 0.142464 0.804238 0.414857 0.229247 +-0.268611 1.120257 -1.308589 -0.045625 0.884511 0.464283 0.441902 0.254430 +-0.285179 1.116210 -1.302507 -0.045625 0.884511 0.464283 0.430416 0.240304 +-0.258017 1.110665 -1.289274 -0.045625 0.884511 0.464283 0.442336 0.267562 +-0.267872 1.098341 -1.280775 -0.213284 0.664484 0.716220 0.429878 0.262499 +-0.258017 1.110665 -1.289274 -0.213284 0.664484 0.716220 0.442336 0.267562 +-0.285179 1.116210 -1.302507 -0.213284 0.664484 0.716220 0.430416 0.240304 +-0.242521 1.114672 -1.305722 -0.268968 0.962965 -0.018807 0.453205 0.280699 +-0.258017 1.110665 -1.289274 -0.268968 0.962965 -0.018807 0.442336 0.267562 +-0.236955 1.116675 -1.282762 -0.268968 0.962965 -0.018807 0.457430 0.285229 +-0.246879 1.101758 -1.260431 -0.363757 0.841134 0.400219 0.443462 0.280974 +-0.236955 1.116675 -1.282762 -0.363757 0.841134 0.400219 0.457430 0.285229 +-0.258017 1.110665 -1.289274 -0.363757 0.841134 0.400219 0.442336 0.267562 +-0.230654 1.104962 -1.322045 -0.047587 0.842879 -0.535995 0.454279 0.295062 +-0.242521 1.114672 -1.305722 -0.047587 0.842879 -0.535995 0.453205 0.280699 +-0.222890 1.114574 -1.307619 -0.047587 0.842879 -0.535995 0.464039 0.299085 +-0.236955 1.116675 -1.282762 -0.003348 0.996280 -0.086106 0.457430 0.285229 +-0.222890 1.114574 -1.307619 -0.003348 0.996280 -0.086106 0.464039 0.299085 +-0.242521 1.114672 -1.305722 -0.003348 0.996280 -0.086106 0.453205 0.280699 +-0.226949 1.085243 -1.332009 0.043830 0.457108 -0.888331 0.445146 0.305164 +-0.230654 1.104962 -1.322045 0.043830 0.457108 -0.888331 0.454279 0.295062 +-0.210056 1.096257 -1.325508 0.043830 0.457108 -0.888331 0.460766 0.317249 +-0.222890 1.114574 -1.307619 0.215131 0.755316 -0.619045 0.464039 0.299085 +-0.210056 1.096257 -1.325508 0.215131 0.755316 -0.619045 0.460766 0.317249 +-0.230654 1.104962 -1.322045 0.215131 0.755316 -0.619045 0.454279 0.295062 +-0.232821 1.063047 -1.331807 0.080644 -0.030399 -0.996279 0.429297 0.307148 +-0.226949 1.085243 -1.332009 0.080644 -0.030399 -0.996279 0.445146 0.305164 +-0.203355 1.068720 -1.329595 0.080644 -0.030399 -0.996279 0.448860 0.332783 +-0.210056 1.096257 -1.325508 0.236464 0.198703 -0.951106 0.460766 0.317249 +-0.203355 1.068720 -1.329595 0.236464 0.198703 -0.951106 0.448860 0.332783 +-0.226949 1.085243 -1.332009 0.236464 0.198703 -0.951106 0.445146 0.305164 +-0.242675 1.050723 -1.323309 -0.013078 -0.560517 -0.828039 0.416838 0.302084 +-0.232821 1.063047 -1.331807 -0.013078 -0.560517 -0.828039 0.429297 0.307148 +-0.205347 1.042482 -1.318320 -0.013078 -0.560517 -0.828039 0.432869 0.339754 +-0.203355 1.068720 -1.329595 0.144933 -0.399909 -0.905023 0.448860 0.332783 +-0.205347 1.042482 -1.318320 0.144933 -0.399909 -0.905023 0.432869 0.339754 +-0.232821 1.063047 -1.331807 0.144933 -0.399909 -0.905023 0.429297 0.307148 +-0.254444 1.046883 -1.304698 -0.336239 -0.857439 -0.389541 0.408132 0.292375 +-0.242675 1.050723 -1.323309 -0.336239 -0.857439 -0.389541 0.416838 0.302084 +-0.215271 1.027565 -1.295989 -0.336239 -0.857439 -0.389541 0.418901 0.335499 +-0.205347 1.042482 -1.318320 -0.100073 -0.806252 -0.583046 0.432869 0.339754 +-0.215271 1.027565 -1.295989 -0.100073 -0.806252 -0.583046 0.418901 0.335499 +-0.242675 1.050723 -1.323309 -0.100073 -0.806252 -0.583046 0.416838 0.302084 +-0.266311 1.056594 -1.288375 -0.600081 -0.798984 0.039074 0.407058 0.278012 +-0.254444 1.046883 -1.304698 -0.600081 -0.798984 0.039074 0.408132 0.292375 +-0.229336 1.029667 -1.271132 -0.600081 -0.798984 0.039074 0.412291 0.321643 +-0.215271 1.027565 -1.295989 -0.408925 -0.899249 -0.155340 0.418901 0.335499 +-0.229336 1.029667 -1.271132 -0.408925 -0.899249 -0.155340 0.412291 0.321643 +-0.254444 1.046883 -1.304698 -0.408925 -0.899249 -0.155340 0.408132 0.292375 +-0.270016 1.076313 -1.278411 -0.736990 -0.409997 0.537353 0.416191 0.267910 +-0.266311 1.056594 -1.288375 -0.736990 -0.409997 0.537353 0.407058 0.278012 +-0.239283 1.047984 -1.257875 -0.736990 -0.409997 0.537353 0.417166 0.306178 +-0.229336 1.029667 -1.271132 -0.654065 -0.643257 0.398019 0.412291 0.321643 +-0.239283 1.047984 -1.257875 -0.654065 -0.643257 0.398019 0.417166 0.306178 +-0.266311 1.056594 -1.288375 -0.654065 -0.643257 0.398019 0.407058 0.278012 +-0.267872 1.098341 -1.280775 -0.705953 0.143149 0.693641 0.429878 0.262499 +-0.270016 1.076313 -1.278411 -0.705953 0.143149 0.693641 0.416191 0.267910 +-0.245983 1.075521 -1.253788 -0.705953 0.143149 0.693641 0.429072 0.290643 +-0.239283 1.047984 -1.257875 -0.693743 -0.268011 0.668499 0.417166 0.306178 +-0.245983 1.075521 -1.253788 -0.693743 -0.268011 0.668499 0.429072 0.290643 +-0.270016 1.076313 -1.278411 -0.693743 -0.268011 0.668499 0.416191 0.267910 +-0.258017 1.110665 -1.289274 -0.535939 0.725883 0.431118 0.442336 0.267562 +-0.267872 1.098341 -1.280775 -0.535939 0.725883 0.431118 0.429878 0.262499 +-0.246879 1.101758 -1.260431 -0.535939 0.725883 0.431118 0.443462 0.280974 +-0.245983 1.075521 -1.253788 -0.700464 0.152602 0.697182 0.429072 0.290643 +-0.246879 1.101758 -1.260431 -0.700464 0.152602 0.697182 0.443462 0.280974 +-0.267872 1.098341 -1.280775 -0.700464 0.152602 0.697182 0.429878 0.262499 +-0.269323 1.125993 -1.342471 0.603487 0.797330 -0.008282 0.444762 0.251834 +-0.279711 1.133962 -1.332219 0.603487 0.797330 -0.008282 0.443520 0.239439 +-0.254991 1.115359 -1.321908 0.603487 0.797330 -0.008282 0.446678 0.268811 +-0.268611 1.120257 -1.308589 0.521555 0.821262 0.231322 0.441902 0.254430 +-0.254991 1.115359 -1.321908 0.521555 0.821262 0.231322 0.446678 0.268811 +-0.279711 1.133962 -1.332219 0.521555 0.821262 0.231322 0.443520 0.239439 +-0.267450 1.113072 -1.352851 0.748292 0.477994 -0.459980 0.438470 0.257934 +-0.269323 1.125993 -1.342471 0.748292 0.477994 -0.459980 0.444762 0.251834 +-0.249913 1.102068 -1.335757 0.748292 0.477994 -0.459980 0.441954 0.278033 +-0.254991 1.115359 -1.321908 0.784701 0.565151 -0.254655 0.446678 0.268811 +-0.249913 1.102068 -1.335757 0.784701 0.565151 -0.254655 0.441954 0.278033 +-0.269323 1.125993 -1.342471 0.784701 0.565151 -0.254655 0.444762 0.251834 +-0.274699 1.099968 -1.359736 0.625288 0.062792 -0.777864 0.427014 0.255569 +-0.267450 1.113072 -1.352851 0.625288 0.062792 -0.777864 0.438470 0.257934 +-0.254575 1.085416 -1.344734 0.625288 0.062792 -0.777864 0.429921 0.279280 +-0.249913 1.102068 -1.335757 0.736639 0.149344 -0.659590 0.441954 0.278033 +-0.254575 1.085416 -1.344734 0.736639 0.149344 -0.659590 0.429921 0.279280 +-0.267450 1.113072 -1.352851 0.736639 0.149344 -0.659590 0.438470 0.257934 +-0.288424 1.091233 -1.360377 0.275095 -0.367043 -0.888596 0.414445 0.245679 +-0.274699 1.099968 -1.359736 0.275095 -0.367043 -0.888596 0.427014 0.255569 +-0.268398 1.071792 -1.346147 0.275095 -0.367043 -0.888596 0.414523 0.270945 +-0.254575 1.085416 -1.344734 0.404968 -0.322136 -0.855704 0.429921 0.279280 +-0.268398 1.071792 -1.346147 0.404968 -0.322136 -0.855704 0.414523 0.270945 +-0.274699 1.099968 -1.359736 0.404968 -0.322136 -0.855704 0.427014 0.255569 +-0.303655 1.090079 -1.354242 -0.242774 -0.645499 -0.724149 0.405342 0.231829 +-0.288424 1.091233 -1.360377 -0.242774 -0.645499 -0.724149 0.414445 0.245679 +-0.286584 1.068407 -1.340647 -0.242774 -0.645499 -0.724149 0.402515 0.255084 +-0.268398 1.071792 -1.346147 -0.104344 -0.655167 -0.748243 0.414523 0.270945 +-0.286584 1.068407 -1.340647 -0.104344 -0.655167 -0.748243 0.402515 0.255084 +-0.288424 1.091233 -1.360377 -0.104344 -0.655167 -0.748243 0.414445 0.245679 +-0.314641 1.097327 -1.343556 -0.724921 -0.600049 -0.338277 0.403360 0.219119 +-0.303655 1.090079 -1.354242 -0.724921 -0.600049 -0.338277 0.405342 0.231829 +-0.303199 1.075418 -1.329213 -0.724921 -0.600049 -0.338277 0.397276 0.237191 +-0.286584 1.068407 -1.340647 -0.577643 -0.708895 -0.404718 0.402515 0.255084 +-0.303199 1.075418 -1.329213 -0.577643 -0.708895 -0.404718 0.397276 0.237191 +-0.303655 1.090079 -1.354242 -0.577643 -0.708895 -0.404718 0.405342 0.231829 +-0.316908 1.110568 -1.332587 -0.953307 -0.271974 0.131286 0.409615 0.212543 +-0.314641 1.097327 -1.343556 -0.953307 -0.271974 0.131286 0.403360 0.219119 +-0.308545 1.089215 -1.316096 -0.953307 -0.271974 0.131286 0.402139 0.227549 +-0.303199 1.075418 -1.329213 -0.903357 -0.422130 0.075840 0.397276 0.237191 +-0.308545 1.089215 -1.316096 -0.903357 -0.422130 0.075840 0.402139 0.227549 +-0.314641 1.097327 -1.343556 -0.903357 -0.422130 0.075840 0.403360 0.219119 +-0.309341 1.124591 -1.325785 -0.827755 0.190710 0.527685 0.421768 0.214895 +-0.316908 1.110568 -1.332587 -0.827755 0.190710 0.527685 0.409615 0.212543 +-0.301231 1.104480 -1.305795 -0.827755 0.190710 0.527685 0.414857 0.229247 +-0.308545 1.089215 -1.316096 -0.855159 0.062489 0.514585 0.402139 0.227549 +-0.301231 1.104480 -1.305795 -0.855159 0.062489 0.514585 0.414857 0.229247 +-0.316908 1.110568 -1.332587 -0.855159 0.062489 0.514585 0.409615 0.212543 +-0.294992 1.133573 -1.325751 -0.403972 0.642882 0.650776 0.434823 0.225286 +-0.309341 1.124591 -1.325785 -0.403972 0.642882 0.650776 0.421768 0.214895 +-0.285179 1.116210 -1.302507 -0.403972 0.642882 0.650776 0.430416 0.240304 +-0.301231 1.104480 -1.305795 -0.506952 0.496176 0.704847 0.414857 0.229247 +-0.285179 1.116210 -1.302507 -0.506952 0.496176 0.704847 0.430416 0.240304 +-0.309341 1.124591 -1.325785 -0.506952 0.496176 0.704847 0.421768 0.214895 +-0.279711 1.133962 -1.332219 0.162390 0.884751 0.436859 0.443520 0.239439 +-0.294992 1.133573 -1.325751 0.162390 0.884751 0.436859 0.434823 0.225286 +-0.268611 1.120257 -1.308589 0.162390 0.884751 0.436859 0.441902 0.254430 +-0.285179 1.116210 -1.302507 0.020876 0.805185 0.592656 0.430416 0.240304 +-0.268611 1.120257 -1.308589 0.020876 0.805185 0.592656 0.441902 0.254430 +-0.294992 1.133573 -1.325751 0.020876 0.805185 0.592656 0.434823 0.225286 +-0.258485 1.170118 -1.431602 0.905292 0.008769 0.424699 0.475807 0.247111 +-0.258912 1.174341 -1.430779 0.905292 0.008769 0.424699 0.477966 0.245290 +-0.280601 1.147629 -1.383995 0.905292 0.008769 0.424699 0.450780 0.234007 +-0.284070 1.157102 -1.382217 0.835444 0.210667 0.507595 0.454231 0.227575 +-0.280601 1.147629 -1.383995 0.835444 0.210667 0.507595 0.450780 0.234007 +-0.258912 1.174341 -1.430779 0.835444 0.210667 0.507595 0.477966 0.245290 +-0.259865 1.166871 -1.434206 0.863884 -0.482659 0.144027 0.473200 0.246914 +-0.258485 1.170118 -1.431602 0.863884 -0.482659 0.144027 0.475807 0.247111 +-0.282084 1.140100 -1.390649 0.863884 -0.482659 0.144027 0.445686 0.235155 +-0.280601 1.147629 -1.383995 0.893575 -0.382983 0.234197 0.450780 0.234007 +-0.282084 1.140100 -1.390649 0.893575 -0.382983 0.234197 0.445686 0.235155 +-0.258485 1.170118 -1.431602 0.893575 -0.382983 0.234197 0.475807 0.247111 +-0.262486 1.165891 -1.437617 0.570090 -0.794324 -0.209873 0.471190 0.244794 +-0.259865 1.166871 -1.434206 0.570090 -0.794324 -0.209873 0.473200 0.246914 +-0.287731 1.137627 -1.399218 0.570090 -0.794324 -0.209873 0.441151 0.230708 +-0.282084 1.140100 -1.390649 0.602264 -0.779566 -0.171913 0.445686 0.235155 +-0.287731 1.137627 -1.399218 0.602264 -0.779566 -0.171913 0.441151 0.230708 +-0.259865 1.166871 -1.434206 0.602264 -0.779566 -0.171913 0.473200 0.246914 +-0.265684 1.167361 -1.440051 0.066295 -0.813190 -0.578211 0.470250 0.241309 +-0.262486 1.165891 -1.437617 0.066295 -0.813190 -0.578211 0.471190 0.244794 +-0.294990 1.140857 -1.406136 0.066295 -0.813190 -0.578211 0.438957 0.222836 +-0.287731 1.137627 -1.399218 0.132128 -0.837775 -0.529788 0.441151 0.230708 +-0.294990 1.140857 -1.406136 0.132128 -0.837775 -0.529788 0.438957 0.222836 +-0.262486 1.165891 -1.437617 0.132128 -0.837775 -0.529788 0.471190 0.244794 +-0.268306 1.170797 -1.440624 -0.432995 -0.459727 -0.775349 0.470745 0.237701 +-0.265684 1.167361 -1.440051 -0.432995 -0.459727 -0.775349 0.470250 0.241309 +-0.301114 1.148293 -1.408959 -0.432995 -0.459727 -0.775349 0.439779 0.214607 +-0.294990 1.140857 -1.406136 -0.347599 -0.569152 -0.745145 0.438957 0.222836 +-0.301114 1.148293 -1.408959 -0.347599 -0.569152 -0.745145 0.439779 0.214607 +-0.265684 1.167361 -1.440051 -0.347599 -0.569152 -0.745145 0.470250 0.241309 +-0.269087 1.175026 -1.439328 -0.701128 0.087390 -0.707660 0.472711 0.235548 +-0.268306 1.170797 -1.440624 -0.701128 0.087390 -0.707660 0.470745 0.237701 +-0.304027 1.157166 -1.406916 -0.701128 0.087390 -0.707660 0.443197 0.208897 +-0.301114 1.148293 -1.408959 -0.674810 -0.052040 -0.736154 0.439779 0.214607 +-0.304027 1.157166 -1.406916 -0.674810 -0.052040 -0.736154 0.443197 0.208897 +-0.268306 1.170797 -1.440624 -0.674810 -0.052040 -0.736154 0.470745 0.237701 +-0.267857 1.178335 -1.436418 -0.670261 0.614752 -0.415728 0.475271 0.235583 +-0.269087 1.175026 -1.439328 -0.670261 0.614752 -0.415728 0.472711 0.235548 +-0.302810 1.164291 -1.400832 -0.670261 0.614752 -0.415728 0.447915 0.207636 +-0.304027 1.157166 -1.406916 -0.707392 0.524965 -0.473294 0.443197 0.208897 +-0.302810 1.164291 -1.400832 -0.707392 0.524965 -0.473294 0.447915 0.207636 +-0.269087 1.175026 -1.439328 -0.707392 0.524965 -0.473294 0.472711 0.235548 +-0.264932 1.179409 -1.433226 -0.347049 0.937844 0.002442 0.477503 0.237956 +-0.267857 1.178335 -1.436418 -0.347049 0.937844 0.002442 0.475271 0.235583 +-0.297857 1.167120 -1.392846 -0.347049 0.937844 0.002442 0.452267 0.211314 +-0.302810 1.164291 -1.400832 -0.422672 0.904410 -0.058230 0.447915 0.207636 +-0.297857 1.167120 -1.392846 -0.422672 0.904410 -0.058230 0.452267 0.211314 +-0.267857 1.178335 -1.436418 -0.422672 0.904410 -0.058230 0.475271 0.235583 +-0.261355 1.177856 -1.431329 0.187600 0.903309 0.385797 0.478606 0.241823 +-0.264932 1.179409 -1.433226 0.187600 0.903309 0.385797 0.477503 0.237956 +-0.290769 1.164499 -1.385752 0.187600 0.903309 0.385797 0.454712 0.218823 +-0.297857 1.167120 -1.392846 0.034025 0.948059 0.316271 0.452267 0.211314 +-0.290769 1.164499 -1.385752 0.034025 0.948059 0.316271 0.454712 0.218823 +-0.264932 1.179409 -1.433226 0.034025 0.948059 0.316271 0.477503 0.237956 +-0.258912 1.174341 -1.430779 0.654984 0.538226 0.530385 0.477966 0.245290 +-0.261355 1.177856 -1.431329 0.654984 0.538226 0.530385 0.478606 0.241823 +-0.284070 1.157102 -1.382217 0.654984 0.538226 0.530385 0.454231 0.227575 +-0.290769 1.164499 -1.385752 0.492978 0.695966 0.522114 0.454712 0.218823 +-0.284070 1.157102 -1.382217 0.492978 0.695966 0.522114 0.454231 0.227575 +-0.261355 1.177856 -1.431329 0.492978 0.695966 0.522114 0.478606 0.241823 +-0.343303 1.072610 -1.163795 -0.466137 0.729245 -0.500917 0.474717 0.293624 +-0.361312 1.063353 -1.160513 -0.466137 0.729245 -0.500917 0.476417 0.273189 +-0.355943 1.088021 -1.129597 -0.466137 0.729245 -0.500917 0.489304 0.284714 +-0.372936 1.083700 -1.126281 -0.305150 0.769516 -0.561007 0.493606 0.266526 +-0.355943 1.088021 -1.129597 -0.305150 0.769516 -0.561007 0.489304 0.284714 +-0.361312 1.063353 -1.160513 -0.305150 0.769516 -0.561007 0.476417 0.273189 +-0.265898 1.016200 -1.184636 0.128338 -0.189686 -0.973421 0.408602 0.357603 +-0.285302 0.993891 -1.182847 0.128338 -0.189686 -0.973421 0.402893 0.332525 +-0.279853 1.025279 -1.188245 0.128338 -0.189686 -0.973421 0.419855 0.345798 +-0.305398 1.009541 -1.183834 -0.073590 -0.156608 -0.984915 0.420672 0.316164 +-0.279853 1.025279 -1.188245 -0.073590 -0.156608 -0.984915 0.419855 0.345798 +-0.285302 0.993891 -1.182847 -0.073590 -0.156608 -0.984915 0.402893 0.332525 +-0.292839 1.027903 -1.167308 -0.785836 -0.555264 0.272292 0.376065 0.262871 +-0.285725 1.030960 -1.140543 -0.785836 -0.555264 0.272292 0.381746 0.268493 +-0.312037 1.057184 -1.163003 -0.785836 -0.555264 0.272292 0.382029 0.235068 +-0.307133 1.061830 -1.138480 -0.784424 -0.561581 0.263261 0.387385 0.238088 +-0.312037 1.057184 -1.163003 -0.784424 -0.561581 0.263261 0.382029 0.235068 +-0.285725 1.030960 -1.140543 -0.784424 -0.561581 0.263261 0.381746 0.268493 +-0.279442 1.009008 -1.091644 0.382963 0.098756 0.918470 0.372777 0.281756 +-0.269348 1.000723 -1.094962 0.382963 0.098756 0.918470 0.373675 0.293982 +-0.261838 1.030667 -1.101313 0.382963 0.098756 0.918470 0.394830 0.290922 +-0.250012 1.022424 -1.105224 0.375304 0.101288 0.921351 0.396713 0.304752 +-0.261838 1.030667 -1.101313 0.375304 0.101288 0.921351 0.394830 0.290922 +-0.269348 1.000723 -1.094962 0.375304 0.101288 0.921351 0.373675 0.293982 +-0.241888 1.038826 -1.154453 0.580636 0.661155 -0.475117 0.410525 0.306825 +-0.248887 1.033533 -1.170372 0.580636 0.661155 -0.475117 0.403640 0.302064 +-0.251003 1.047842 -1.153046 0.580636 0.661155 -0.475117 0.410584 0.295268 +-0.259299 1.043556 -1.170908 0.632604 0.633318 -0.445781 0.403551 0.288956 +-0.251003 1.047842 -1.153046 0.632604 0.633318 -0.445781 0.410584 0.295268 +-0.248887 1.033533 -1.170372 0.632604 0.633318 -0.445781 0.403640 0.302064 +-0.311104 1.084190 -1.142927 -0.081909 0.850296 -0.519892 0.397869 0.226849 +-0.310089 1.072658 -1.161948 -0.081909 0.850296 -0.519892 0.391889 0.231680 +-0.355943 1.088021 -1.129597 -0.081909 0.850296 -0.519892 0.375170 0.183641 +-0.343303 1.072610 -1.163795 0.021161 0.914405 -0.404247 0.373438 0.200646 +-0.355943 1.088021 -1.129597 0.021161 0.914405 -0.404247 0.375170 0.183641 +-0.310089 1.072658 -1.161948 0.021161 0.914405 -0.404247 0.391889 0.231680 +-0.279853 1.025279 -1.188245 0.427421 0.321011 -0.845141 0.381780 0.275895 +-0.259299 1.043556 -1.170908 0.427421 0.321011 -0.845141 0.403551 0.288956 +-0.265898 1.016200 -1.184636 0.427421 0.321011 -0.845141 0.384370 0.291997 +-0.248887 1.033533 -1.170372 0.373931 0.342352 -0.861957 0.403640 0.302064 +-0.265898 1.016200 -1.184636 0.373931 0.342352 -0.861957 0.384370 0.291997 +-0.259299 1.043556 -1.170908 0.373931 0.342352 -0.861957 0.403551 0.288956 +-0.261838 1.030667 -1.101313 0.588629 0.574773 0.568465 0.394830 0.290922 +-0.250012 1.022424 -1.105224 0.588629 0.574773 0.568465 0.396713 0.304752 +-0.248231 1.043317 -1.128193 0.588629 0.574773 0.568465 0.409555 0.299384 +-0.241348 1.036225 -1.130242 0.683256 0.512998 0.519611 0.409349 0.308205 +-0.248231 1.043317 -1.128193 0.683256 0.512998 0.519611 0.409555 0.299384 +-0.250012 1.022424 -1.105224 0.683256 0.512998 0.519611 0.396713 0.304752 +-0.285725 1.030960 -1.140543 -0.729031 -0.630758 0.265816 0.381746 0.268493 +-0.292839 1.027903 -1.167308 -0.729031 -0.630758 0.265816 0.376065 0.262871 +-0.258653 0.997343 -1.146065 -0.729031 -0.630758 0.265816 0.377690 0.305118 +-0.269625 0.996001 -1.163410 -0.729169 -0.469791 0.497603 0.370843 0.295313 +-0.258653 0.997343 -1.146065 -0.729169 -0.469791 0.497603 0.377690 0.305118 +-0.292839 1.027903 -1.167308 -0.729169 -0.469791 0.497603 0.376065 0.262871 +-0.361312 1.063353 -1.160513 -0.653678 -0.727008 0.210156 0.476417 0.273189 +-0.357764 1.061677 -1.155275 -0.653678 -0.727008 0.210156 0.473943 0.276347 +-0.372936 1.083700 -1.126281 -0.653678 -0.727008 0.210156 0.493606 0.266526 +-0.363313 1.076717 -1.128177 -0.509013 -0.792605 0.335683 0.485405 0.274487 +-0.372936 1.083700 -1.126281 -0.509013 -0.792605 0.335683 0.493606 0.266526 +-0.357764 1.061677 -1.155275 -0.509013 -0.792605 0.335683 0.473943 0.276347 +-0.305398 1.009541 -1.183834 -0.606869 -0.765871 0.212488 0.420672 0.316164 +-0.285302 0.993891 -1.182847 -0.606869 -0.765871 0.212488 0.402893 0.332525 +-0.305743 1.011915 -1.176263 -0.606869 -0.765871 0.212488 0.422265 0.316405 +-0.275683 0.990842 -1.171798 -0.577665 -0.762022 0.292619 0.397099 0.341457 +-0.305743 1.011915 -1.176263 -0.577665 -0.762022 0.292619 0.422265 0.316405 +-0.285302 0.993891 -1.182847 -0.577665 -0.762022 0.292619 0.402893 0.332525 +-0.267289 0.996575 -1.108005 -0.626953 -0.765541 0.144489 0.372464 0.297303 +-0.269348 1.000723 -1.094962 -0.626953 -0.765541 0.144489 0.373675 0.293982 +-0.288607 1.015810 -1.098594 -0.626953 -0.765541 0.144489 0.371552 0.270899 +-0.279442 1.009008 -1.091644 -0.622276 -0.780759 0.056469 0.372777 0.281756 +-0.288607 1.015810 -1.098594 -0.622276 -0.780759 0.056469 0.371552 0.270899 +-0.269348 1.000723 -1.094962 -0.622276 -0.780759 0.056469 0.373675 0.293982 +-0.285725 1.030960 -1.140543 -0.782033 -0.620879 -0.054170 0.381746 0.268493 +-0.258653 0.997343 -1.146065 -0.782033 -0.620879 -0.054170 0.377690 0.305118 +-0.285797 1.028553 -1.111916 -0.782033 -0.620879 -0.054170 0.380341 0.269236 +-0.262797 0.998651 -1.123355 -0.808089 -0.577890 -0.114171 0.376133 0.300803 +-0.285797 1.028553 -1.111916 -0.808089 -0.577890 -0.114171 0.380341 0.269236 +-0.258653 0.997343 -1.146065 -0.808089 -0.577890 -0.114171 0.377690 0.305118 +-0.307133 1.061830 -1.138480 -0.822299 -0.568320 -0.028935 0.387385 0.238088 +-0.285725 1.030960 -1.140543 -0.822299 -0.568320 -0.028935 0.381746 0.268493 +-0.305048 1.057337 -1.109485 -0.822299 -0.568320 -0.028935 0.385992 0.241549 +-0.285797 1.028553 -1.111916 -0.832138 -0.552441 -0.048542 0.380341 0.269236 +-0.305048 1.057337 -1.109485 -0.832138 -0.552441 -0.048542 0.385992 0.241549 +-0.285725 1.030960 -1.140543 -0.832138 -0.552441 -0.048542 0.381746 0.268493 +-0.363313 1.076717 -1.128177 -0.584867 -0.810926 0.018167 0.485405 0.274487 +-0.348236 1.066348 -1.105636 -0.584867 -0.810926 0.018167 0.472905 0.287102 +-0.372936 1.083700 -1.126281 -0.584867 -0.810926 0.018167 0.493606 0.266526 +-0.351197 1.069294 -1.098160 -0.611246 -0.788461 0.068609 0.475916 0.284851 +-0.372936 1.083700 -1.126281 -0.611246 -0.788461 0.068609 0.493606 0.266526 +-0.348236 1.066348 -1.105636 -0.611246 -0.788461 0.068609 0.472905 0.287102 +-0.355943 1.088021 -1.129597 -0.119850 0.856531 0.501986 0.489304 0.284714 +-0.372936 1.083700 -1.126281 -0.119850 0.856531 0.501986 0.493606 0.266526 +-0.332530 1.077487 -1.106033 -0.119850 0.856531 0.501986 0.473296 0.305685 +-0.351197 1.069294 -1.098160 -0.140011 0.833142 0.535043 0.475916 0.284851 +-0.332530 1.077487 -1.106033 -0.140011 0.833142 0.535043 0.473296 0.305685 +-0.372936 1.083700 -1.126281 -0.140011 0.833142 0.535043 0.493606 0.266526 +-0.311104 1.084190 -1.142927 0.185755 0.913349 0.362337 0.397869 0.226849 +-0.355943 1.088021 -1.129597 0.185755 0.913349 0.362337 0.375170 0.183641 +-0.302553 1.073390 -1.120087 0.185755 0.913349 0.362337 0.396485 0.238478 +-0.332530 1.077487 -1.106033 0.225136 0.953079 0.202371 0.382180 0.209075 +-0.302553 1.073390 -1.120087 0.225136 0.953079 0.202371 0.396485 0.238478 +-0.355943 1.088021 -1.129597 0.225136 0.953079 0.202371 0.375170 0.183641 +-0.251003 1.047842 -1.153046 0.706240 0.706218 0.049812 0.410584 0.295268 +-0.248231 1.043317 -1.128193 0.706240 0.706218 0.049812 0.409555 0.299384 +-0.241888 1.038826 -1.154453 0.706240 0.706218 0.049812 0.410525 0.306825 +-0.241348 1.036225 -1.130242 0.724677 0.686677 0.057607 0.409349 0.308205 +-0.241888 1.038826 -1.154453 0.724677 0.686677 0.057607 0.410525 0.306825 +-0.248231 1.043317 -1.128193 0.724677 0.686677 0.057607 0.409555 0.299384 +-0.310452 1.035124 -1.086322 -0.572346 -0.775152 -0.267504 0.370393 0.243975 +-0.351197 1.069294 -1.098160 -0.572346 -0.775152 -0.267504 0.367178 0.194383 +-0.311671 1.038957 -1.094821 -0.572346 -0.775152 -0.267504 0.371891 0.241545 +-0.348236 1.066348 -1.105636 -0.611065 -0.788591 0.068731 0.367149 0.198142 +-0.311671 1.038957 -1.094821 -0.611065 -0.788591 0.068731 0.371891 0.241545 +-0.351197 1.069294 -1.098160 -0.611065 -0.788591 0.068731 0.367178 0.194383 +-0.305048 1.057337 -1.109485 -0.366682 -0.923003 -0.116659 0.385992 0.241549 +-0.336214 1.070677 -1.117070 -0.366682 -0.923003 -0.116659 0.376273 0.207924 +-0.307133 1.061830 -1.138480 -0.366682 -0.923003 -0.116659 0.387385 0.238088 +-0.348472 1.076251 -1.131245 -0.340070 -0.937441 -0.074547 0.372636 0.194588 +-0.307133 1.061830 -1.138480 -0.340070 -0.937441 -0.074547 0.387385 0.238088 +-0.336214 1.070677 -1.117070 -0.340070 -0.937441 -0.074547 0.376273 0.207924 +-0.312037 1.057184 -1.163003 -0.275495 -0.932927 0.231842 0.382029 0.235068 +-0.307133 1.061830 -1.138480 -0.275495 -0.932927 0.231842 0.387385 0.238088 +-0.338613 1.069065 -1.146774 -0.275495 -0.932927 0.231842 0.374028 0.206223 +-0.348472 1.076251 -1.131245 -0.279250 -0.926687 0.251536 0.372636 0.194588 +-0.338613 1.069065 -1.146774 -0.279250 -0.926687 0.251536 0.374028 0.206223 +-0.307133 1.061830 -1.138480 -0.279250 -0.926687 0.251536 0.387385 0.238088 +-0.357764 1.061677 -1.155275 -0.608388 -0.776592 0.163614 0.473943 0.276347 +-0.361312 1.063353 -1.160513 -0.608388 -0.776592 0.163614 0.476417 0.273189 +-0.329556 1.035929 -1.172598 -0.608388 -0.776592 0.163614 0.446676 0.298374 +-0.331995 1.031806 -1.180665 -0.442404 -0.737285 0.510578 0.445152 0.294895 +-0.329556 1.035929 -1.172598 -0.442404 -0.737285 0.510578 0.446676 0.298374 +-0.361312 1.063353 -1.160513 -0.442404 -0.737285 0.510578 0.476417 0.273189 +-0.304381 1.045494 -1.184538 -0.276991 0.300565 -0.912654 0.442235 0.326104 +-0.331995 1.031806 -1.180665 -0.276991 0.300565 -0.912654 0.445152 0.294895 +-0.343303 1.072610 -1.163795 -0.276991 0.300565 -0.912654 0.474717 0.293624 +-0.361312 1.063353 -1.160513 -0.312793 0.287578 -0.905240 0.476417 0.273189 +-0.343303 1.072610 -1.163795 -0.312793 0.287578 -0.905240 0.474717 0.293624 +-0.331995 1.031806 -1.180665 -0.312793 0.287578 -0.905240 0.445152 0.294895 +-0.269799 1.053666 -1.171450 0.129792 0.649978 -0.748787 0.403462 0.275737 +-0.304381 1.045494 -1.184538 0.129792 0.649978 -0.748787 0.379643 0.246160 +-0.310089 1.072658 -1.161948 0.129792 0.649978 -0.748787 0.391889 0.231680 +-0.343303 1.072610 -1.163795 0.041551 0.644000 -0.763896 0.373438 0.200646 +-0.310089 1.072658 -1.161948 0.041551 0.644000 -0.763896 0.391889 0.231680 +-0.304381 1.045494 -1.184538 0.041551 0.644000 -0.763896 0.379643 0.246160 +-0.269799 1.053666 -1.171450 0.316672 0.865725 -0.387608 0.403462 0.275737 +-0.310089 1.072658 -1.161948 0.316672 0.865725 -0.387608 0.391889 0.231680 +-0.263265 1.060025 -1.151909 0.316672 0.865725 -0.387608 0.410695 0.279704 +-0.311104 1.084190 -1.142927 0.322871 0.816856 -0.478017 0.397869 0.226849 +-0.263265 1.060025 -1.151909 0.322871 0.816856 -0.478017 0.410695 0.279704 +-0.310089 1.072658 -1.161948 0.322871 0.816856 -0.478017 0.391889 0.231680 +-0.260030 1.055475 -1.124678 0.395733 0.912295 0.105421 0.409908 0.284261 +-0.263265 1.060025 -1.151909 0.395733 0.912295 0.105421 0.410695 0.279704 +-0.302553 1.073390 -1.120087 0.395733 0.912295 0.105421 0.396485 0.238478 +-0.311104 1.084190 -1.142927 0.472676 0.851812 0.225819 0.397869 0.226849 +-0.302553 1.073390 -1.120087 0.472676 0.851812 0.225819 0.396485 0.238478 +-0.263265 1.060025 -1.151909 0.472676 0.851812 0.225819 0.410695 0.279704 +-0.260030 1.055475 -1.124678 0.379378 0.768419 0.515368 0.409908 0.284261 +-0.302553 1.073390 -1.120087 0.379378 0.768419 0.515368 0.396485 0.238478 +-0.287615 1.050728 -1.097294 0.379378 0.768419 0.515368 0.391913 0.260072 +-0.332530 1.077487 -1.106033 0.354545 0.768876 0.532097 0.382180 0.209075 +-0.287615 1.050728 -1.097294 0.354545 0.768876 0.532097 0.391913 0.260072 +-0.302553 1.073390 -1.120087 0.354545 0.768876 0.532097 0.396485 0.238478 +-0.287615 1.050728 -1.097294 0.105404 0.464139 0.879469 0.391913 0.260072 +-0.332530 1.077487 -1.106033 0.105404 0.464139 0.879469 0.382180 0.209075 +-0.310452 1.035124 -1.086322 0.105404 0.464139 0.879469 0.370393 0.243975 +-0.351197 1.069294 -1.098160 0.152816 0.481258 0.863156 0.367178 0.194383 +-0.310452 1.035124 -1.086322 0.152816 0.481258 0.863156 0.370393 0.243975 +-0.332530 1.077487 -1.106033 0.152816 0.481258 0.863156 0.382180 0.209075 +-0.275683 0.990842 -1.171798 -0.582565 -0.755964 0.298557 0.397099 0.341457 +-0.285302 0.993891 -1.182847 -0.582565 -0.755964 0.298557 0.402893 0.332525 +-0.264614 0.984473 -1.166326 -0.582565 -0.755964 0.298557 0.388682 0.351028 +-0.245808 0.979229 -1.173403 -0.314772 -0.938648 -0.140923 0.377791 0.368670 +-0.264614 0.984473 -1.166326 -0.314772 -0.938648 -0.140923 0.388682 0.351028 +-0.285302 0.993891 -1.182847 -0.314772 -0.938648 -0.140923 0.402893 0.332525 +-0.256785 0.988089 -1.119221 -0.248297 -0.870094 0.425777 0.373476 0.309979 +-0.246537 0.985145 -1.119261 -0.248297 -0.870094 0.425777 0.377490 0.320550 +-0.267289 0.996575 -1.108005 -0.248297 -0.870094 0.425777 0.372464 0.297303 +-0.269348 1.000723 -1.094962 -0.372277 -0.899833 0.227401 0.373675 0.293982 +-0.267289 0.996575 -1.108005 -0.372277 -0.899833 0.227401 0.372464 0.297303 +-0.246537 0.985145 -1.119261 -0.372277 -0.899833 0.227401 0.377490 0.320550 +-0.250012 1.022424 -1.105224 0.688333 -0.301276 0.659872 0.396713 0.304752 +-0.269348 1.000723 -1.094962 0.688333 -0.301276 0.659872 0.373675 0.293982 +-0.238407 1.004741 -1.125403 0.688333 -0.301276 0.659872 0.393118 0.321554 +-0.246537 0.985145 -1.119261 0.704220 -0.070744 0.706448 0.377490 0.320550 +-0.238407 1.004741 -1.125403 0.704220 -0.070744 0.706448 0.393118 0.321554 +-0.269348 1.000723 -1.094962 0.704220 -0.070744 0.706448 0.373675 0.293982 +-0.258528 0.981235 -1.145483 -0.494831 -0.868937 0.009497 0.368621 0.310658 +-0.264614 0.984473 -1.166326 -0.494831 -0.868937 0.009497 0.367082 0.303878 +-0.249225 0.975926 -1.146517 -0.494831 -0.868937 0.009497 0.370769 0.321141 +-0.245808 0.979229 -1.173403 -0.319171 -0.934867 -0.155414 0.374538 0.323224 +-0.249225 0.975926 -1.146517 -0.319171 -0.934867 -0.155414 0.370769 0.321141 +-0.264614 0.984473 -1.166326 -0.319171 -0.934867 -0.155414 0.367082 0.303878 +-0.285302 0.993891 -1.182847 0.152811 -0.210346 -0.965610 0.402893 0.332525 +-0.265898 1.016200 -1.184636 0.152811 -0.210346 -0.965610 0.408602 0.357603 +-0.245808 0.979229 -1.173403 0.152811 -0.210346 -0.965610 0.377791 0.368670 +-0.239201 0.997346 -1.174720 0.243554 -0.158381 -0.956868 0.386166 0.379818 +-0.245808 0.979229 -1.173403 0.243554 -0.158381 -0.956868 0.377791 0.368670 +-0.265898 1.016200 -1.184636 0.243554 -0.158381 -0.956868 0.408602 0.357603 +-0.265898 1.016200 -1.184636 0.477245 0.229661 -0.848229 0.384370 0.291997 +-0.248887 1.033533 -1.170372 0.477245 0.229661 -0.848229 0.403640 0.302064 +-0.239201 0.997346 -1.174720 0.477245 0.229661 -0.848229 0.388482 0.323302 +-0.236921 1.012875 -1.166535 0.675791 0.263594 -0.688349 0.398557 0.320204 +-0.239201 0.997346 -1.174720 0.675791 0.263594 -0.688349 0.388482 0.323302 +-0.248887 1.033533 -1.170372 0.675791 0.263594 -0.688349 0.403640 0.302064 +-0.241348 1.036225 -1.130242 0.909278 0.139794 0.392010 0.409349 0.308205 +-0.250012 1.022424 -1.105224 0.909278 0.139794 0.392010 0.396713 0.304752 +-0.234143 1.016009 -1.139745 0.909278 0.139794 0.392010 0.401876 0.321747 +-0.238407 1.004741 -1.125403 0.908467 0.151847 0.389397 0.393118 0.321554 +-0.234143 1.016009 -1.139745 0.908467 0.151847 0.389397 0.401876 0.321747 +-0.250012 1.022424 -1.105224 0.908467 0.151847 0.389397 0.396713 0.304752 +-0.241888 1.038826 -1.154453 0.952500 0.304322 0.011449 0.410525 0.306825 +-0.241348 1.036225 -1.130242 0.952500 0.304322 0.011449 0.409349 0.308205 +-0.234969 1.017211 -1.155538 0.952500 0.304322 0.011449 0.402100 0.320569 +-0.234143 1.016009 -1.139745 0.938280 0.345124 -0.022807 0.401876 0.321747 +-0.234969 1.017211 -1.155538 0.938280 0.345124 -0.022807 0.402100 0.320569 +-0.241348 1.036225 -1.130242 0.938280 0.345124 -0.022807 0.409349 0.308205 +-0.258528 0.981235 -1.145483 -0.458201 -0.852139 0.252806 0.368621 0.310658 +-0.249225 0.975926 -1.146517 -0.458201 -0.852139 0.252806 0.370769 0.321141 +-0.256785 0.988089 -1.119221 -0.458201 -0.852139 0.252806 0.373476 0.309979 +-0.246537 0.985145 -1.119261 -0.259223 -0.906853 0.332296 0.377490 0.320550 +-0.256785 0.988089 -1.119221 -0.259223 -0.906853 0.332296 0.373476 0.309979 +-0.249225 0.975926 -1.146517 -0.259223 -0.906853 0.332296 0.370769 0.321141 +-0.248887 1.033533 -1.170372 0.797015 0.373512 -0.474611 0.403640 0.302064 +-0.241888 1.038826 -1.154453 0.797015 0.373512 -0.474611 0.410525 0.306825 +-0.236921 1.012875 -1.166535 0.797015 0.373512 -0.474611 0.398557 0.320204 +-0.234969 1.017211 -1.155538 0.909592 0.305308 -0.281833 0.402100 0.320569 +-0.236921 1.012875 -1.166535 0.909592 0.305308 -0.281833 0.398557 0.320204 +-0.241888 1.038826 -1.154453 0.909592 0.305308 -0.281833 0.410525 0.306825 +-0.329556 1.035929 -1.172598 -0.573812 -0.645865 0.503585 0.446676 0.298374 +-0.331995 1.031806 -1.180665 -0.573812 -0.645865 0.503585 0.445152 0.294895 +-0.305743 1.011915 -1.176263 -0.573812 -0.645865 0.503585 0.422265 0.316405 +-0.305398 1.009541 -1.183834 -0.612555 -0.761762 0.210941 0.420672 0.316164 +-0.305743 1.011915 -1.176263 -0.612555 -0.761762 0.210941 0.422265 0.316405 +-0.331995 1.031806 -1.180665 -0.612555 -0.761762 0.210941 0.445152 0.294895 +-0.279853 1.025279 -1.188245 -0.161305 -0.014761 -0.986794 0.419855 0.345798 +-0.305398 1.009541 -1.183834 -0.161305 -0.014761 -0.986794 0.420672 0.316164 +-0.304381 1.045494 -1.184538 -0.161305 -0.014761 -0.986794 0.442235 0.326104 +-0.331995 1.031806 -1.180665 -0.131242 -0.015698 -0.991226 0.445152 0.294895 +-0.304381 1.045494 -1.184538 -0.131242 -0.015698 -0.991226 0.442235 0.326104 +-0.305398 1.009541 -1.183834 -0.131242 -0.015698 -0.991226 0.420672 0.316164 +-0.259299 1.043556 -1.170908 0.391917 0.361680 -0.845924 0.403551 0.288956 +-0.279853 1.025279 -1.188245 0.391917 0.361680 -0.845924 0.381780 0.275895 +-0.269799 1.053666 -1.171450 0.391917 0.361680 -0.845924 0.403462 0.275737 +-0.304381 1.045494 -1.184538 0.226930 0.435129 -0.871301 0.379643 0.246160 +-0.269799 1.053666 -1.171450 0.226930 0.435129 -0.871301 0.403462 0.275737 +-0.279853 1.025279 -1.188245 0.226930 0.435129 -0.871301 0.381780 0.275895 +-0.251003 1.047842 -1.153046 0.611451 0.656629 -0.441550 0.410584 0.295268 +-0.259299 1.043556 -1.170908 0.611451 0.656629 -0.441550 0.403551 0.288956 +-0.263265 1.060025 -1.151909 0.611451 0.656629 -0.441550 0.410695 0.279704 +-0.269799 1.053666 -1.171450 0.639795 0.641806 -0.422785 0.403462 0.275737 +-0.263265 1.060025 -1.151909 0.639795 0.641806 -0.422785 0.410695 0.279704 +-0.259299 1.043556 -1.170908 0.639795 0.641806 -0.422785 0.403551 0.288956 +-0.248231 1.043317 -1.128193 0.723342 0.689036 0.044776 0.409555 0.299384 +-0.251003 1.047842 -1.153046 0.723342 0.689036 0.044776 0.410584 0.295268 +-0.260030 1.055475 -1.124678 0.723342 0.689036 0.044776 0.409908 0.284261 +-0.263265 1.060025 -1.151909 0.706001 0.707379 0.034323 0.410695 0.279704 +-0.260030 1.055475 -1.124678 0.706001 0.707379 0.034323 0.409908 0.284261 +-0.251003 1.047842 -1.153046 0.706001 0.707379 0.034323 0.410584 0.295268 +-0.248231 1.043317 -1.128193 0.667459 0.484188 0.565739 0.409555 0.299384 +-0.260030 1.055475 -1.124678 0.667459 0.484188 0.565739 0.409908 0.284261 +-0.261838 1.030667 -1.101313 0.667459 0.484188 0.565739 0.394830 0.290922 +-0.287615 1.050728 -1.097294 0.533840 0.558806 0.634627 0.391913 0.260072 +-0.261838 1.030667 -1.101313 0.533840 0.558806 0.634627 0.394830 0.290922 +-0.260030 1.055475 -1.124678 0.533840 0.558806 0.634627 0.409908 0.284261 +-0.261838 1.030667 -1.101313 0.289603 0.183939 0.939306 0.394830 0.290922 +-0.287615 1.050728 -1.097294 0.289603 0.183939 0.939306 0.391913 0.260072 +-0.279442 1.009008 -1.091644 0.289603 0.183939 0.939306 0.372777 0.281756 +-0.310452 1.035124 -1.086322 0.317922 0.188127 0.929265 0.370393 0.243975 +-0.279442 1.009008 -1.091644 0.317922 0.188127 0.929265 0.372777 0.281756 +-0.287615 1.050728 -1.097294 0.317922 0.188127 0.929265 0.391913 0.260072 +-0.279442 1.009008 -1.091644 -0.633615 -0.769213 0.082724 0.372777 0.281756 +-0.310452 1.035124 -1.086322 -0.633615 -0.769213 0.082724 0.370393 0.243975 +-0.288607 1.015810 -1.098594 -0.633615 -0.769213 0.082724 0.371552 0.270899 +-0.311671 1.038957 -1.094821 -0.710015 -0.674485 -0.202358 0.371891 0.241545 +-0.288607 1.015810 -1.098594 -0.710015 -0.674485 -0.202358 0.371552 0.270899 +-0.310452 1.035124 -1.086322 -0.710015 -0.674485 -0.202358 0.370393 0.243975 +-0.348236 1.066348 -1.105636 -0.043449 -0.918347 -0.393385 0.472905 0.287102 +-0.363313 1.076717 -1.128177 -0.043449 -0.918347 -0.393385 0.485405 0.274487 +-0.336214 1.070677 -1.117070 -0.043449 -0.918347 -0.393385 0.470638 0.300286 +-0.348472 1.076251 -1.131245 -0.090918 -0.951052 -0.295355 0.479055 0.289320 +-0.336214 1.070677 -1.117070 -0.090918 -0.951052 -0.295355 0.470638 0.300286 +-0.363313 1.076717 -1.128177 -0.090918 -0.951052 -0.295355 0.485405 0.274487 +-0.311671 1.038957 -1.094821 -0.190097 -0.569518 -0.799695 0.371891 0.241545 +-0.348236 1.066348 -1.105636 -0.190097 -0.569518 -0.799695 0.367149 0.198142 +-0.305048 1.057337 -1.109485 -0.190097 -0.569518 -0.799695 0.385992 0.241549 +-0.336214 1.070677 -1.117070 -0.217871 -0.814628 -0.537507 0.376273 0.207924 +-0.305048 1.057337 -1.109485 -0.217871 -0.814628 -0.537507 0.385992 0.241549 +-0.348236 1.066348 -1.105636 -0.217871 -0.814628 -0.537507 0.367149 0.198142 +-0.288607 1.015810 -1.098594 -0.607819 -0.505868 -0.612089 0.371552 0.270899 +-0.311671 1.038957 -1.094821 -0.607819 -0.505868 -0.612089 0.371891 0.241545 +-0.285797 1.028553 -1.111916 -0.607819 -0.505868 -0.612089 0.380341 0.269236 +-0.305048 1.057337 -1.109485 -0.610179 -0.347983 -0.711751 0.385992 0.241549 +-0.285797 1.028553 -1.111916 -0.610179 -0.347983 -0.711751 0.380341 0.269236 +-0.311671 1.038957 -1.094821 -0.610179 -0.347983 -0.711751 0.371891 0.241545 +-0.288607 1.015810 -1.098594 -0.671392 -0.459678 -0.581316 0.371552 0.270899 +-0.285797 1.028553 -1.111916 -0.671392 -0.459678 -0.581316 0.380341 0.269236 +-0.267289 0.996575 -1.108005 -0.671392 -0.459678 -0.581316 0.372464 0.297303 +-0.262797 0.998651 -1.123355 -0.807728 -0.504748 -0.304639 0.376133 0.300803 +-0.267289 0.996575 -1.108005 -0.807728 -0.504748 -0.304639 0.372464 0.297303 +-0.285797 1.028553 -1.111916 -0.807728 -0.504748 -0.304639 0.380341 0.269236 +-0.256785 0.988089 -1.119221 -0.772999 -0.558082 -0.301689 0.373476 0.309979 +-0.267289 0.996575 -1.108005 -0.772999 -0.558082 -0.301689 0.372464 0.297303 +-0.262797 0.998651 -1.123355 -0.772999 -0.558082 -0.301689 0.376133 0.300803 +-0.256785 0.988089 -1.119221 -0.883552 -0.435488 0.172296 0.373476 0.309979 +-0.262797 0.998651 -1.123355 -0.883552 -0.435488 0.172296 0.376133 0.300803 +-0.258528 0.981235 -1.145483 -0.883552 -0.435488 0.172296 0.368621 0.310658 +-0.258653 0.997343 -1.146065 -0.983801 -0.014092 -0.178707 0.377690 0.305118 +-0.258528 0.981235 -1.145483 -0.983801 -0.014092 -0.178707 0.368621 0.310658 +-0.262797 0.998651 -1.123355 -0.983801 -0.014092 -0.178707 0.376133 0.300803 +-0.264614 0.984473 -1.166326 -0.881793 -0.431475 0.190447 0.367082 0.303878 +-0.258528 0.981235 -1.145483 -0.881793 -0.431475 0.190447 0.368621 0.310658 +-0.269625 0.996001 -1.163410 -0.881793 -0.431475 0.190447 0.370843 0.295313 +-0.258653 0.997343 -1.146065 -0.845484 0.012726 0.533848 0.377690 0.305118 +-0.269625 0.996001 -1.163410 -0.845484 0.012726 0.533848 0.370843 0.295313 +-0.258528 0.981235 -1.145483 -0.845484 0.012726 0.533848 0.368621 0.310658 +-0.275683 0.990842 -1.171798 -0.586426 -0.428748 0.687226 0.364555 0.291386 +-0.264614 0.984473 -1.166326 -0.586426 -0.428748 0.687226 0.367082 0.303878 +-0.269625 0.996001 -1.163410 -0.586426 -0.428748 0.687226 0.370843 0.295313 +-0.305743 1.011915 -1.176263 -0.315712 -0.256812 0.913441 0.422265 0.316405 +-0.275683 0.990842 -1.171798 -0.315712 -0.256812 0.913441 0.397099 0.341457 +-0.292839 1.027903 -1.167308 -0.315712 -0.256812 0.913441 0.426765 0.333367 +-0.269625 0.996001 -1.163410 -0.627772 -0.373353 0.683015 0.397776 0.348839 +-0.292839 1.027903 -1.167308 -0.627772 -0.373353 0.683015 0.426765 0.333367 +-0.275683 0.990842 -1.171798 -0.627772 -0.373353 0.683015 0.397099 0.341457 +-0.305743 1.011915 -1.176263 -0.207353 -0.345308 0.915296 0.422265 0.316405 +-0.292839 1.027903 -1.167308 -0.207353 -0.345308 0.915296 0.426765 0.333367 +-0.329556 1.035929 -1.172598 -0.207353 -0.345308 0.915296 0.446676 0.298374 +-0.312037 1.057184 -1.163003 -0.194209 -0.266147 0.944166 0.452510 0.321292 +-0.329556 1.035929 -1.172598 -0.194209 -0.266147 0.944166 0.446676 0.298374 +-0.292839 1.027903 -1.167308 -0.194209 -0.266147 0.944166 0.426765 0.333367 +-0.329556 1.035929 -1.172598 0.100672 -0.477099 0.873064 0.446676 0.298374 +-0.312037 1.057184 -1.163003 0.100672 -0.477099 0.873064 0.452510 0.321292 +-0.357764 1.061677 -1.155275 0.100672 -0.477099 0.873064 0.473943 0.276347 +-0.338613 1.069065 -1.146774 0.027624 -0.784477 0.619542 0.470634 0.297469 +-0.357764 1.061677 -1.155275 0.027624 -0.784477 0.619542 0.473943 0.276347 +-0.312037 1.057184 -1.163003 0.027624 -0.784477 0.619542 0.452510 0.321292 +-0.357764 1.061677 -1.155275 0.109817 -0.859354 0.499451 0.473943 0.276347 +-0.338613 1.069065 -1.146774 0.109817 -0.859354 0.499451 0.470634 0.297469 +-0.363313 1.076717 -1.128177 0.109817 -0.859354 0.499451 0.485405 0.274487 +-0.348472 1.076251 -1.131245 0.065760 -0.889011 0.453139 0.479055 0.289320 +-0.363313 1.076717 -1.128177 0.065760 -0.889011 0.453139 0.485405 0.274487 +-0.338613 1.069065 -1.146774 0.065760 -0.889011 0.453139 0.470634 0.297469 +3 0 1 2 +3 3 4 5 +3 6 7 8 +3 9 10 11 +3 12 13 14 +3 15 16 17 +3 18 19 20 +3 21 22 23 +3 24 25 26 +3 27 28 29 +3 30 31 32 +3 33 34 35 +3 36 37 38 +3 39 40 41 +3 42 43 44 +3 45 46 47 +3 48 49 50 +3 51 52 53 +3 54 55 56 +3 57 58 59 +3 60 61 62 +3 63 64 65 +3 66 67 68 +3 69 70 71 +3 72 73 74 +3 75 76 77 +3 78 79 80 +3 81 82 83 +3 84 85 86 +3 87 88 89 +3 90 91 92 +3 93 94 95 +3 96 97 98 +3 99 100 101 +3 102 103 104 +3 105 106 107 +3 108 109 110 +3 111 112 113 +3 114 115 116 +3 117 118 119 +3 120 121 122 +3 123 124 125 +3 126 127 128 +3 129 130 131 +3 132 133 134 +3 135 136 137 +3 138 139 140 +3 141 142 143 +3 144 145 146 +3 147 148 149 +3 150 151 152 +3 153 154 155 +3 156 157 158 +3 159 160 161 +3 162 163 164 +3 165 166 167 +3 168 169 170 +3 171 172 173 +3 174 175 176 +3 177 178 179 +3 180 181 182 +3 183 184 185 +3 186 187 188 +3 189 190 191 +3 192 193 194 +3 195 196 197 +3 198 199 200 +3 201 202 203 +3 204 205 206 +3 207 208 209 +3 210 211 212 +3 213 214 215 +3 216 217 218 +3 219 220 221 +3 222 223 224 +3 225 226 227 +3 228 229 230 +3 231 232 233 +3 234 235 236 +3 237 238 239 +3 240 241 242 +3 243 244 245 +3 246 247 248 +3 249 250 251 +3 252 253 254 +3 255 256 257 +3 258 259 260 +3 261 262 263 +3 264 265 266 +3 267 268 269 +3 270 271 272 +3 273 274 275 +3 276 277 278 +3 279 280 281 +3 282 283 284 +3 285 286 287 +3 288 289 290 +3 291 292 293 +3 294 295 296 +3 297 298 299 +3 300 301 302 +3 303 304 305 +3 306 307 308 +3 309 310 311 +3 312 313 314 +3 315 316 317 +3 318 319 320 +3 321 322 323 +3 324 325 326 +3 327 328 329 +3 330 331 332 +3 333 334 335 +3 336 337 338 +3 339 340 341 +3 342 343 344 +3 345 346 347 +3 348 349 350 +3 351 352 353 +3 354 355 356 +3 357 358 359 +3 360 361 362 +3 363 364 365 +3 366 367 368 +3 369 370 371 +3 372 373 374 +3 375 376 377 +3 378 379 380 +3 381 382 383 +3 384 385 386 +3 387 388 389 +3 390 391 392 +3 393 394 395 +3 396 397 398 +3 399 400 401 +3 402 403 404 +3 405 406 407 +3 408 409 410 +3 411 412 413 +3 414 415 416 +3 417 418 419 +3 420 421 422 +3 423 424 425 +3 426 427 428 +3 429 430 431 +3 432 433 434 +3 435 436 437 +3 438 439 440 +3 441 442 443 +3 444 445 446 +3 447 448 449 +3 450 451 452 +3 453 454 455 +3 456 457 458 +3 459 460 461 +3 462 463 464 +3 465 466 467 +3 468 469 470 +3 471 472 473 +3 474 475 476 +3 477 478 479 +3 480 481 482 +3 483 484 485 +3 486 487 488 +3 489 490 491 +3 492 493 494 +3 495 496 497 +3 498 499 500 +3 501 502 503 +3 504 505 506 +3 507 508 509 +3 510 511 512 +3 513 514 515 +3 516 517 518 +3 519 520 521 +3 522 523 524 +3 525 526 527 +3 528 529 530 +3 531 532 533 +3 534 535 536 +3 537 538 539 +3 540 541 542 +3 543 544 545 +3 546 547 548 +3 549 550 551 +3 552 553 554 +3 555 556 557 +3 558 559 560 +3 561 562 563 +3 564 565 566 +3 567 568 569 +3 570 571 572 +3 573 574 575 +3 576 577 578 +3 579 580 581 +3 582 583 584 +3 585 586 587 +3 588 589 590 +3 591 592 593 +3 594 595 596 +3 597 598 599 +3 600 601 602 +3 603 604 605 +3 606 607 608 +3 609 610 611 +3 612 613 614 +3 615 616 617 +3 618 619 620 +3 621 622 623 +3 624 625 626 +3 627 628 629 +3 630 631 632 +3 633 634 635 +3 636 637 638 +3 639 640 641 +3 642 643 644 +3 645 646 647 +3 648 649 650 +3 651 652 653 +3 654 655 656 +3 657 658 659 +3 660 661 662 +3 663 664 665 +3 666 667 668 +3 669 670 671 +3 672 673 674 +3 675 676 677 +3 678 679 680 +3 681 682 683 +3 684 685 686 +3 687 688 689 +3 690 691 692 +3 693 694 695 +3 696 697 698 +3 699 700 701 +3 702 703 704 +3 705 706 707 +3 708 709 710 +3 711 712 713 +3 714 715 716 +3 717 718 719 +3 720 721 722 +3 723 724 725 +3 726 727 728 +3 729 730 731 +3 732 733 734 +3 735 736 737 +3 738 739 740 +3 741 742 743 +3 744 745 746 +3 747 748 749 +3 750 751 752 +3 753 754 755 +3 756 757 758 +3 759 760 761 +3 762 763 764 +3 765 766 767 +3 768 769 770 +3 771 772 773 +3 774 775 776 +3 777 778 779 +3 780 781 782 +3 783 784 785 +3 786 787 788 +3 789 790 791 +3 792 793 794 +3 795 796 797 +3 798 799 800 +3 801 802 803 +3 804 805 806 +3 807 808 809 +3 810 811 812 +3 813 814 815 +3 816 817 818 +3 819 820 821 +3 822 823 824 +3 825 826 827 +3 828 829 830 +3 831 832 833 +3 834 835 836 +3 837 838 839 +3 840 841 842 +3 843 844 845 +3 846 847 848 +3 849 850 851 +3 852 853 854 +3 855 856 857 +3 858 859 860 +3 861 862 863 +3 864 865 866 +3 867 868 869 +3 870 871 872 +3 873 874 875 +3 876 877 878 +3 879 880 881 +3 882 883 884 +3 885 886 887 +3 888 889 890 +3 891 892 893 +3 894 895 896 +3 897 898 899 +3 900 901 902 +3 903 904 905 +3 906 907 908 +3 909 910 911 +3 912 913 914 +3 915 916 917 +3 918 919 920 +3 921 922 923 +3 924 925 926 +3 927 928 929 +3 930 931 932 +3 933 934 935 +3 936 937 938 +3 939 940 941 +3 942 943 944 +3 945 946 947 +3 948 949 950 +3 951 952 953 +3 954 955 956 +3 957 958 959 +3 960 961 962 +3 963 964 965 +3 966 967 968 +3 969 970 971 +3 972 973 974 +3 975 976 977 +3 978 979 980 +3 981 982 983 +3 984 985 986 +3 987 988 989 +3 990 991 992 +3 993 994 995 +3 996 997 998 +3 999 1000 1001 +3 1002 1003 1004 +3 1005 1006 1007 +3 1008 1009 1010 +3 1011 1012 1013 +3 1014 1015 1016 +3 1017 1018 1019 +3 1020 1021 1022 +3 1023 1024 1025 +3 1026 1027 1028 +3 1029 1030 1031 +3 1032 1033 1034 +3 1035 1036 1037 +3 1038 1039 1040 +3 1041 1042 1043 +3 1044 1045 1046 +3 1047 1048 1049 +3 1050 1051 1052 +3 1053 1054 1055 +3 1056 1057 1058 +3 1059 1060 1061 +3 1062 1063 1064 +3 1065 1066 1067 +3 1068 1069 1070 +3 1071 1072 1073 +3 1074 1075 1076 +3 1077 1078 1079 +3 1080 1081 1082 +3 1083 1084 1085 +3 1086 1087 1088 +3 1089 1090 1091 +3 1092 1093 1094 +3 1095 1096 1097 +3 1098 1099 1100 +3 1101 1102 1103 +3 1104 1105 1106 +3 1107 1108 1109 +3 1110 1111 1112 +3 1113 1114 1115 +3 1116 1117 1118 +3 1119 1120 1121 +3 1122 1123 1124 +3 1125 1126 1127 +3 1128 1129 1130 +3 1131 1132 1133 +3 1134 1135 1136 +3 1137 1138 1139 +3 1140 1141 1142 +3 1143 1144 1145 +3 1146 1147 1148 +3 1149 1150 1151 +3 1152 1153 1154 +3 1155 1156 1157 +3 1158 1159 1160 +3 1161 1162 1163 +3 1164 1165 1166 +3 1167 1168 1169 +3 1170 1171 1172 +3 1173 1174 1175 +3 1176 1177 1178 +3 1179 1180 1181 +3 1182 1183 1184 +3 1185 1186 1187 +3 1188 1189 1190 +3 1191 1192 1193 +3 1194 1195 1196 +3 1197 1198 1199 +3 1200 1201 1202 +3 1203 1204 1205 +3 1206 1207 1208 +3 1209 1210 1211 +3 1212 1213 1214 +3 1215 1216 1217 +3 1218 1219 1220 +3 1221 1222 1223 +3 1224 1225 1226 +3 1227 1228 1229 +3 1230 1231 1232 +3 1233 1234 1235 +3 1236 1237 1238 +3 1239 1240 1241 +3 1242 1243 1244 +3 1245 1246 1247 +3 1248 1249 1250 +3 1251 1252 1253 +3 1254 1255 1256 +3 1257 1258 1259 +3 1260 1261 1262 +3 1263 1264 1265 +3 1266 1267 1268 +3 1269 1270 1271 +3 1272 1273 1274 +3 1275 1276 1277 +3 1278 1279 1280 +3 1281 1282 1283 +3 1284 1285 1286 +3 1287 1288 1289 +3 1290 1291 1292 +3 1293 1294 1295 +3 1296 1297 1298 +3 1299 1300 1301 +3 1302 1303 1304 +3 1305 1306 1307 +3 1308 1309 1310 +3 1311 1312 1313 +3 1314 1315 1316 +3 1317 1318 1319 +3 1320 1321 1322 +3 1323 1324 1325 +3 1326 1327 1328 +3 1329 1330 1331 +3 1332 1333 1334 +3 1335 1336 1337 +3 1338 1339 1340 +3 1341 1342 1343 +3 1344 1345 1346 +3 1347 1348 1349 +3 1350 1351 1352 +3 1353 1354 1355 +3 1356 1357 1358 +3 1359 1360 1361 +3 1362 1363 1364 +3 1365 1366 1367 +3 1368 1369 1370 +3 1371 1372 1373 +3 1374 1375 1376 +3 1377 1378 1379 +3 1380 1381 1382 +3 1383 1384 1385 +3 1386 1387 1388 +3 1389 1390 1391 +3 1392 1393 1394 +3 1395 1396 1397 +3 1398 1399 1400 +3 1401 1402 1403 +3 1404 1405 1406 +3 1407 1408 1409 +3 1410 1411 1412 +3 1413 1414 1415 +3 1416 1417 1418 +3 1419 1420 1421 +3 1422 1423 1424 +3 1425 1426 1427 +3 1428 1429 1430 +3 1431 1432 1433 +3 1434 1435 1436 +3 1437 1438 1439 +3 1440 1441 1442 +3 1443 1444 1445 +3 1446 1447 1448 +3 1449 1450 1451 +3 1452 1453 1454 +3 1455 1456 1457 +3 1458 1459 1460 +3 1461 1462 1463 +3 1464 1465 1466 +3 1467 1468 1469 +3 1470 1471 1472 +3 1473 1474 1475 +3 1476 1477 1478 +3 1479 1480 1481 +3 1482 1483 1484 +3 1485 1486 1487 +3 1488 1489 1490 +3 1491 1492 1493 +3 1494 1495 1496 +3 1497 1498 1499 +3 1500 1501 1502 +3 1503 1504 1505 +3 1506 1507 1508 +3 1509 1510 1511 +3 1512 1513 1514 +3 1515 1516 1517 +3 1518 1519 1520 +3 1521 1522 1523 +3 1524 1525 1526 +3 1527 1528 1529 +3 1530 1531 1532 +3 1533 1534 1535 +3 1536 1537 1538 +3 1539 1540 1541 +3 1542 1543 1544 +3 1545 1546 1547 +3 1548 1549 1550 +3 1551 1552 1553 +3 1554 1555 1556 +3 1557 1558 1559 +3 1560 1561 1562 +3 1563 1564 1565 +3 1566 1567 1568 +3 1569 1570 1571 +3 1572 1573 1574 +3 1575 1576 1577 +3 1578 1579 1580 +3 1581 1582 1583 +3 1584 1585 1586 +3 1587 1588 1589 +3 1590 1591 1592 +3 1593 1594 1595 +3 1596 1597 1598 +3 1599 1600 1601 +3 1602 1603 1604 +3 1605 1606 1607 +3 1608 1609 1610 +3 1611 1612 1613 +3 1614 1615 1616 +3 1617 1618 1619 +3 1620 1621 1622 +3 1623 1624 1625 +3 1626 1627 1628 +3 1629 1630 1631 +3 1632 1633 1634 +3 1635 1636 1637 +3 1638 1639 1640 +3 1641 1642 1643 +3 1644 1645 1646 +3 1647 1648 1649 +3 1650 1651 1652 +3 1653 1654 1655 +3 1656 1657 1658 +3 1659 1660 1661 +3 1662 1663 1664 +3 1665 1666 1667 +3 1668 1669 1670 +3 1671 1672 1673 +3 1674 1675 1676 +3 1677 1678 1679 +3 1680 1681 1682 +3 1683 1684 1685 +3 1686 1687 1688 +3 1689 1690 1691 +3 1692 1693 1694 +3 1695 1696 1697 +3 1698 1699 1700 +3 1701 1702 1703 +3 1704 1705 1706 +3 1707 1708 1709 +3 1710 1711 1712 +3 1713 1714 1715 +3 1716 1717 1718 +3 1719 1720 1721 +3 1722 1723 1724 +3 1725 1726 1727 +3 1728 1729 1730 +3 1731 1732 1733 +3 1734 1735 1736 +3 1737 1738 1739 +3 1740 1741 1742 +3 1743 1744 1745 +3 1746 1747 1748 +3 1749 1750 1751 +3 1752 1753 1754 +3 1755 1756 1757 +3 1758 1759 1760 +3 1761 1762 1763 +3 1764 1765 1766 +3 1767 1768 1769 +3 1770 1771 1772 +3 1773 1774 1775 +3 1776 1777 1778 +3 1779 1780 1781 +3 1782 1783 1784 +3 1785 1786 1787 +3 1788 1789 1790 +3 1791 1792 1793 +3 1794 1795 1796 +3 1797 1798 1799 +3 1800 1801 1802 +3 1803 1804 1805 +3 1806 1807 1808 +3 1809 1810 1811 +3 1812 1813 1814 +3 1815 1816 1817 +3 1818 1819 1820 +3 1821 1822 1823 +3 1824 1825 1826 +3 1827 1828 1829 +3 1830 1831 1832 +3 1833 1834 1835 +3 1836 1837 1838 +3 1839 1840 1841 +3 1842 1843 1844 +3 1845 1846 1847 +3 1848 1849 1850 +3 1851 1852 1853 +3 1854 1855 1856 +3 1857 1858 1859 +3 1860 1861 1862 +3 1863 1864 1865 +3 1866 1867 1868 +3 1869 1870 1871 +3 1872 1873 1874 +3 1875 1876 1877 +3 1878 1879 1880 +3 1881 1882 1883 +3 1884 1885 1886 +3 1887 1888 1889 +3 1890 1891 1892 +3 1893 1894 1895 +3 1896 1897 1898 +3 1899 1900 1901 +3 1902 1903 1904 +3 1905 1906 1907 +3 1908 1909 1910 +3 1911 1912 1913 +3 1914 1915 1916 +3 1917 1918 1919 +3 1920 1921 1922 +3 1923 1924 1925 +3 1926 1927 1928 +3 1929 1930 1931 +3 1932 1933 1934 +3 1935 1936 1937 +3 1938 1939 1940 +3 1941 1942 1943 +3 1944 1945 1946 +3 1947 1948 1949 +3 1950 1951 1952 +3 1953 1954 1955 +3 1956 1957 1958 +3 1959 1960 1961 +3 1962 1963 1964 +3 1965 1966 1967 +3 1968 1969 1970 +3 1971 1972 1973 +3 1974 1975 1976 +3 1977 1978 1979 +3 1980 1981 1982 +3 1983 1984 1985 +3 1986 1987 1988 +3 1989 1990 1991 +3 1992 1993 1994 +3 1995 1996 1997 +3 1998 1999 2000 +3 2001 2002 2003 +3 2004 2005 2006 +3 2007 2008 2009 +3 2010 2011 2012 +3 2013 2014 2015 +3 2016 2017 2018 +3 2019 2020 2021 +3 2022 2023 2024 +3 2025 2026 2027 +3 2028 2029 2030 +3 2031 2032 2033 +3 2034 2035 2036 +3 2037 2038 2039 +3 2040 2041 2042 +3 2043 2044 2045 +3 2046 2047 2048 +3 2049 2050 2051 +3 2052 2053 2054 +3 2055 2056 2057 +3 2058 2059 2060 +3 2061 2062 2063 +3 2064 2065 2066 +3 2067 2068 2069 +3 2070 2071 2072 +3 2073 2074 2075 +3 2076 2077 2078 +3 2079 2080 2081 +3 2082 2083 2084 +3 2085 2086 2087 +3 2088 2089 2090 +3 2091 2092 2093 +3 2094 2095 2096 +3 2097 2098 2099 +3 2100 2101 2102 +3 2103 2104 2105 +3 2106 2107 2108 +3 2109 2110 2111 +3 2112 2113 2114 +3 2115 2116 2117 +3 2118 2119 2120 +3 2121 2122 2123 +3 2124 2125 2126 +3 2127 2128 2129 +3 2130 2131 2132 +3 2133 2134 2135 +3 2136 2137 2138 +3 2139 2140 2141 +3 2142 2143 2144 +3 2145 2146 2147 +3 2148 2149 2150 +3 2151 2152 2153 +3 2154 2155 2156 +3 2157 2158 2159 +3 2160 2161 2162 +3 2163 2164 2165 +3 2166 2167 2168 +3 2169 2170 2171 +3 2172 2173 2174 +3 2175 2176 2177 +3 2178 2179 2180 +3 2181 2182 2183 +3 2184 2185 2186 +3 2187 2188 2189 +3 2190 2191 2192 +3 2193 2194 2195 +3 2196 2197 2198 +3 2199 2200 2201 +3 2202 2203 2204 +3 2205 2206 2207 +3 2208 2209 2210 +3 2211 2212 2213 +3 2214 2215 2216 +3 2217 2218 2219 +3 2220 2221 2222 +3 2223 2224 2225 +3 2226 2227 2228 +3 2229 2230 2231 +3 2232 2233 2234 +3 2235 2236 2237 +3 2238 2239 2240 +3 2241 2242 2243 +3 2244 2245 2246 +3 2247 2248 2249 +3 2250 2251 2252 +3 2253 2254 2255 +3 2256 2257 2258 +3 2259 2260 2261 +3 2262 2263 2264 +3 2265 2266 2267 +3 2268 2269 2270 +3 2271 2272 2273 +3 2274 2275 2276 +3 2277 2278 2279 +3 2280 2281 2282 +3 2283 2284 2285 +3 2286 2287 2288 +3 2289 2290 2291 +3 2292 2293 2294 +3 2295 2296 2297 +3 2298 2299 2300 +3 2301 2302 2303 +3 2304 2305 2306 +3 2307 2308 2309 +3 2310 2311 2312 +3 2313 2314 2315 +3 2316 2317 2318 +3 2319 2320 2321 +3 2322 2323 2324 +3 2325 2326 2327 +3 2328 2329 2330 +3 2331 2332 2333 +3 2334 2335 2336 +3 2337 2338 2339 +3 2340 2341 2342 +3 2343 2344 2345 +3 2346 2347 2348 +3 2349 2350 2351 +3 2352 2353 2354 +3 2355 2356 2357 +3 2358 2359 2360 +3 2361 2362 2363 +3 2364 2365 2366 +3 2367 2368 2369 +3 2370 2371 2372 +3 2373 2374 2375 +3 2376 2377 2378 +3 2379 2380 2381 +3 2382 2383 2384 +3 2385 2386 2387 +3 2388 2389 2390 +3 2391 2392 2393 +3 2394 2395 2396 +3 2397 2398 2399 +3 2400 2401 2402 +3 2403 2404 2405 +3 2406 2407 2408 +3 2409 2410 2411 +3 2412 2413 2414 +3 2415 2416 2417 +3 2418 2419 2420 +3 2421 2422 2423 +3 2424 2425 2426 +3 2427 2428 2429 +3 2430 2431 2432 +3 2433 2434 2435 +3 2436 2437 2438 +3 2439 2440 2441 +3 2442 2443 2444 +3 2445 2446 2447 +3 2448 2449 2450 +3 2451 2452 2453 +3 2454 2455 2456 +3 2457 2458 2459 +3 2460 2461 2462 +3 2463 2464 2465 +3 2466 2467 2468 +3 2469 2470 2471 +3 2472 2473 2474 +3 2475 2476 2477 +3 2478 2479 2480 +3 2481 2482 2483 +3 2484 2485 2486 +3 2487 2488 2489 +3 2490 2491 2492 +3 2493 2494 2495 +3 2496 2497 2498 +3 2499 2500 2501 +3 2502 2503 2504 +3 2505 2506 2507 +3 2508 2509 2510 +3 2511 2512 2513 +3 2514 2515 2516 +3 2517 2518 2519 +3 2520 2521 2522 +3 2523 2524 2525 +3 2526 2527 2528 +3 2529 2530 2531 +3 2532 2533 2534 +3 2535 2536 2537 +3 2538 2539 2540 +3 2541 2542 2543 +3 2544 2545 2546 +3 2547 2548 2549 +3 2550 2551 2552 +3 2553 2554 2555 +3 2556 2557 2558 +3 2559 2560 2561 +3 2562 2563 2564 +3 2565 2566 2567 +3 2568 2569 2570 +3 2571 2572 2573 +3 2574 2575 2576 +3 2577 2578 2579 +3 2580 2581 2582 +3 2583 2584 2585 +3 2586 2587 2588 +3 2589 2590 2591 +3 2592 2593 2594 +3 2595 2596 2597 +3 2598 2599 2600 +3 2601 2602 2603 +3 2604 2605 2606 +3 2607 2608 2609 +3 2610 2611 2612 +3 2613 2614 2615 +3 2616 2617 2618 +3 2619 2620 2621 +3 2622 2623 2624 +3 2625 2626 2627 +3 2628 2629 2630 +3 2631 2632 2633 +3 2634 2635 2636 +3 2637 2638 2639 +3 2640 2641 2642 +3 2643 2644 2645 +3 2646 2647 2648 +3 2649 2650 2651 +3 2652 2653 2654 +3 2655 2656 2657 +3 2658 2659 2660 +3 2661 2662 2663 +3 2664 2665 2666 +3 2667 2668 2669 +3 2670 2671 2672 +3 2673 2674 2675 +3 2676 2677 2678 +3 2679 2680 2681 +3 2682 2683 2684 +3 2685 2686 2687 +3 2688 2689 2690 +3 2691 2692 2693 +3 2694 2695 2696 +3 2697 2698 2699 +3 2700 2701 2702 +3 2703 2704 2705 +3 2706 2707 2708 +3 2709 2710 2711 +3 2712 2713 2714 +3 2715 2716 2717 +3 2718 2719 2720 +3 2721 2722 2723 +3 2724 2725 2726 +3 2727 2728 2729 +3 2730 2731 2732 +3 2733 2734 2735 +3 2736 2737 2738 +3 2739 2740 2741 +3 2742 2743 2744 +3 2745 2746 2747 +3 2748 2749 2750 +3 2751 2752 2753 +3 2754 2755 2756 +3 2757 2758 2759 +3 2760 2761 2762 +3 2763 2764 2765 +3 2766 2767 2768 +3 2769 2770 2771 +3 2772 2773 2774 +3 2775 2776 2777 +3 2778 2779 2780 +3 2781 2782 2783 +3 2784 2785 2786 +3 2787 2788 2789 +3 2790 2791 2792 +3 2793 2794 2795 +3 2796 2797 2798 +3 2799 2800 2801 +3 2802 2803 2804 +3 2805 2806 2807 +3 2808 2809 2810 +3 2811 2812 2813 +3 2814 2815 2816 +3 2817 2818 2819 +3 2820 2821 2822 +3 2823 2824 2825 +3 2826 2827 2828 +3 2829 2830 2831 +3 2832 2833 2834 +3 2835 2836 2837 +3 2838 2839 2840 +3 2841 2842 2843 +3 2844 2845 2846 +3 2847 2848 2849 +3 2850 2851 2852 +3 2853 2854 2855 +3 2856 2857 2858 +3 2859 2860 2861 +3 2862 2863 2864 +3 2865 2866 2867 +3 2868 2869 2870 +3 2871 2872 2873 +3 2874 2875 2876 +3 2877 2878 2879 +3 2880 2881 2882 +3 2883 2884 2885 +3 2886 2887 2888 +3 2889 2890 2891 +3 2892 2893 2894 +3 2895 2896 2897 +3 2898 2899 2900 +3 2901 2902 2903 +3 2904 2905 2906 +3 2907 2908 2909 +3 2910 2911 2912 +3 2913 2914 2915 +3 2916 2917 2918 +3 2919 2920 2921 +3 2922 2923 2924 +3 2925 2926 2927 +3 2928 2929 2930 +3 2931 2932 2933 +3 2934 2935 2936 +3 2937 2938 2939 +3 2940 2941 2942 +3 2943 2944 2945 +3 2946 2947 2948 +3 2949 2950 2951 +3 2952 2953 2954 +3 2955 2956 2957 +3 2958 2959 2960 +3 2961 2962 2963 +3 2964 2965 2966 +3 2967 2968 2969 +3 2970 2971 2972 +3 2973 2974 2975 +3 2976 2977 2978 +3 2979 2980 2981 +3 2982 2983 2984 +3 2985 2986 2987 +3 2988 2989 2990 +3 2991 2992 2993 +3 2994 2995 2996 +3 2997 2998 2999 +3 3000 3001 3002 +3 3003 3004 3005 +3 3006 3007 3008 +3 3009 3010 3011 +3 3012 3013 3014 +3 3015 3016 3017 +3 3018 3019 3020 +3 3021 3022 3023 +3 3024 3025 3026 +3 3027 3028 3029 +3 3030 3031 3032 +3 3033 3034 3035 +3 3036 3037 3038 +3 3039 3040 3041 +3 3042 3043 3044 +3 3045 3046 3047 +3 3048 3049 3050 +3 3051 3052 3053 +3 3054 3055 3056 +3 3057 3058 3059 +3 3060 3061 3062 +3 3063 3064 3065 +3 3066 3067 3068 +3 3069 3070 3071 +3 3072 3073 3074 +3 3075 3076 3077 +3 3078 3079 3080 +3 3081 3082 3083 +3 3084 3085 3086 +3 3087 3088 3089 +3 3090 3091 3092 +3 3093 3094 3095 +3 3096 3097 3098 +3 3099 3100 3101 +3 3102 3103 3104 +3 3105 3106 3107 +3 3108 3109 3110 +3 3111 3112 3113 +3 3114 3115 3116 +3 3117 3118 3119 +3 3120 3121 3122 +3 3123 3124 3125 +3 3126 3127 3128 +3 3129 3130 3131 +3 3132 3133 3134 +3 3135 3136 3137 +3 3138 3139 3140 +3 3141 3142 3143 +3 3144 3145 3146 +3 3147 3148 3149 +3 3150 3151 3152 +3 3153 3154 3155 +3 3156 3157 3158 +3 3159 3160 3161 +3 3162 3163 3164 +3 3165 3166 3167 +3 3168 3169 3170 +3 3171 3172 3173 +3 3174 3175 3176 +3 3177 3178 3179 +3 3180 3181 3182 +3 3183 3184 3185 +3 3186 3187 3188 +3 3189 3190 3191 +3 3192 3193 3194 +3 3195 3196 3197 +3 3198 3199 3200 +3 3201 3202 3203 +3 3204 3205 3206 +3 3207 3208 3209 +3 3210 3211 3212 +3 3213 3214 3215 +3 3216 3217 3218 +3 3219 3220 3221 +3 3222 3223 3224 +3 3225 3226 3227 +3 3228 3229 3230 +3 3231 3232 3233 +3 3234 3235 3236 +3 3237 3238 3239 +3 3240 3241 3242 +3 3243 3244 3245 +3 3246 3247 3248 +3 3249 3250 3251 +3 3252 3253 3254 +3 3255 3256 3257 +3 3258 3259 3260 +3 3261 3262 3263 +3 3264 3265 3266 +3 3267 3268 3269 +3 3270 3269 3271 +3 3269 3268 3271 +3 3272 3271 3273 +3 3274 3275 3276 +3 3277 3278 3279 +3 3280 3281 3282 +3 3283 3284 3285 +3 3286 3287 3288 +3 3289 3290 3291 +3 3292 3293 3294 +3 3295 3296 3297 +3 3298 3299 3300 +3 3301 3302 3303 +3 3304 3305 3306 +3 3307 3308 3309 +3 3310 3311 3312 +3 3313 3314 3315 +3 3316 3317 3318 +3 3319 3320 3321 +3 3322 3323 3324 +3 3325 3326 3327 +3 3328 3329 3330 +3 3331 3332 3333 +3 3334 3335 3336 +3 3337 3338 3339 +3 3340 3341 3342 +3 3343 3344 3345 +3 3346 3347 3348 +3 3349 3350 3351 +3 3352 3353 3354 +3 3355 3356 3357 +3 3358 3359 3360 +3 3361 3362 3363 +3 3364 3365 3366 +3 3367 3368 3369 +3 3370 3371 3372 +3 3373 3374 3375 +3 3376 3377 3378 +3 3379 3380 3381 +3 3382 3383 3384 +3 3385 3386 3387 +3 3388 3389 3390 +3 3391 3392 3393 +3 3394 3395 3396 +3 3397 3398 3399 +3 3400 3401 3402 +3 3403 3404 3405 +3 3406 3407 3408 +3 3409 3410 3411 +3 3412 3413 3414 +3 3415 3416 3417 +3 3418 3419 3420 +3 3421 3422 3423 +3 3424 3425 3426 +3 3427 3428 3429 +3 3430 3431 3432 +3 3433 3434 3435 +3 3436 3437 3438 +3 3439 3440 3441 +3 3442 3443 3444 +3 3445 3446 3447 +3 3448 3449 3450 +3 3451 3452 3453 +3 3454 3455 3456 +3 3457 3458 3459 +3 3460 3461 3462 +3 3463 3464 3465 +3 3466 3467 3468 +3 3469 3470 3471 +3 3472 3473 3474 +3 3475 3476 3477 +3 3478 3479 3480 +3 3481 3482 3483 +3 3484 3485 3486 +3 3487 3488 3489 +3 3490 3491 3492 +3 3493 3494 3495 +3 3496 3497 3498 +3 3499 3500 3501 +3 3502 3503 3504 +3 3505 3506 3507 +3 3508 3509 3510 +3 3511 3512 3513 +3 3514 3515 3516 +3 3517 3518 3519 +3 3520 3521 3522 +3 3523 3524 3525 +3 3526 3527 3528 +3 3529 3530 3531 +3 3532 3533 3534 +3 3535 3536 3537 +3 3538 3539 3540 +3 3541 3542 3543 +3 3544 3545 3546 +3 3547 3548 3549 +3 3550 3551 3552 +3 3553 3554 3555 +3 3556 3557 3558 +3 3559 3560 3561 +3 3562 3563 3564 +3 3565 3566 3567 +3 3568 3569 3570 +3 3571 3572 3573 +3 3574 3575 3576 +3 3577 3578 3579 +3 3580 3581 3582 +3 3583 3584 3585 +3 3586 3587 3588 +3 3589 3590 3591 +3 3592 3593 3594 +3 3595 3596 3597 +3 3598 3599 3600 +3 3601 3602 3603 +3 3604 3605 3606 +3 3607 3608 3609 +3 3610 3611 3612 +3 3613 3614 3615 +3 3616 3617 3618 +3 3619 3620 3621 +3 3622 3623 3624 +3 3625 3626 3627 +3 3628 3629 3630 +3 3631 3632 3633 +3 3634 3635 3636 +3 3637 3638 3639 +3 3640 3641 3642 +3 3643 3644 3645 +3 3646 3647 3648 +3 3649 3650 3651 +3 3652 3653 3654 +3 3655 3656 3657 +3 3658 3659 3660 +3 3661 3662 3663 +3 3664 3665 3666 +3 3667 3668 3669 +3 3670 3671 3672 +3 3673 3674 3675 +3 3676 3677 3678 +3 3679 3680 3681 +3 3682 3683 3684 +3 3685 3686 3687 +3 3688 3689 3690 +3 3691 3692 3693 +3 3694 3695 3696 +3 3697 3698 3699 +3 3700 3701 3702 +3 3703 3704 3705 +3 3706 3707 3708 +3 3709 3710 3711 +3 3712 3713 3714 +3 3715 3716 3717 +3 3718 3719 3720 +3 3721 3722 3723 +3 3724 3725 3726 +3 3727 3728 3729 +3 3730 3731 3732 +3 3733 3734 3735 +3 3736 3737 3738 +3 3739 3740 3741 +3 3742 3743 3744 +3 3745 3746 3747 +3 3748 3749 3750 +3 3751 3752 3753 +3 3754 3755 3756 +3 3757 3758 3759 +3 3760 3761 3762 +3 3763 3764 3765 +3 3766 3767 3768 +3 3769 3770 3771 +3 3772 3773 3774 +3 3775 3776 3777 +3 3778 3779 3780 +3 3781 3782 3783 +3 3784 3785 3786 +3 3787 3788 3789 +3 3790 3791 3792 +3 3793 3794 3795 +3 3796 3797 3798 +3 3799 3800 3801 +3 3802 3803 3804 +3 3805 3806 3807 +3 3808 3809 3810 +3 3811 3812 3813 +3 3814 3815 3816 +3 3817 3818 3819 +3 3820 3821 3822 +3 3823 3824 3825 +3 3826 3827 3828 +3 3829 3830 3831 +3 3832 3833 3834 +3 3835 3836 3837 +3 3838 3839 3840 +3 3841 3842 3843 +3 3844 3845 3846 +3 3847 3848 3849 +3 3850 3851 3852 +3 3853 3854 3855 +3 3856 3857 3858 +3 3859 3860 3861 +3 3862 3863 3864 +3 3865 3866 3867 +3 3868 3869 3870 +3 3871 3872 3873 +3 3874 3875 3876 +3 3877 3878 3879 +3 3880 3881 3882 +3 3883 3884 3885 +3 3886 3887 3888 +3 3889 3890 3891 +3 3892 3893 3894 +3 3895 3896 3897 +3 3898 3899 3900 +3 3901 3902 3903 +3 3904 3905 3906 +3 3907 3908 3909 +3 3910 3911 3912 +3 3913 3914 3915 +3 3916 3917 3918 +3 3919 3920 3921 +3 3922 3923 3924 +3 3925 3926 3927 +3 3928 3929 3930 +3 3931 3932 3933 +3 3934 3935 3936 +3 3937 3938 3939 +3 3940 3941 3942 +3 3943 3944 3945 +3 3946 3947 3948 +3 3949 3950 3951 +3 3952 3953 3954 +3 3955 3956 3957 +3 3958 3959 3960 +3 3961 3962 3963 +3 3964 3965 3966 +3 3967 3968 3969 +3 3970 3971 3972 +3 3973 3974 3975 +3 3976 3977 3978 +3 3979 3980 3981 +3 3982 3983 3984 +3 3985 3986 3987 +3 3988 3989 3990 +3 3991 3992 3993 +3 3994 3995 3996 +3 3997 3998 3999 +3 4000 4001 4002 +3 4003 4004 4005 +3 4006 4007 4008 +3 4009 4010 4011 +3 4012 4013 4014 +3 4015 4016 4017 +3 4018 4019 4020 +3 4021 4022 4023 +3 4024 4025 4026 +3 4027 4028 4029 +3 4030 4031 4032 +3 4033 4034 4035 +3 4036 4037 4038 +3 4039 4040 4041 +3 4042 4043 4044 +3 4045 4046 4047 +3 4048 4049 4050 +3 4051 4052 4053 +3 4054 4055 4056 +3 4057 4058 4059 +3 4060 4061 4062 +3 4063 4064 4065 +3 4066 4067 4068 +3 4069 4070 4071 +3 4072 4073 4074 +3 4075 4076 4077 +3 4078 4079 4080 +3 4081 4082 4083 +3 4084 4085 4086 +3 4087 4088 4089 +3 4090 4091 4092 +3 4093 4094 4095 +3 4096 4097 4098 +3 4099 4100 4101 +3 4102 4103 4104 +3 4105 4106 4107 +3 4108 4109 4110 +3 4111 4112 4113 +3 4114 4115 4116 +3 4117 4118 4119 +3 4120 4121 4122 +3 4123 4124 4125 +3 4126 4127 4128 +3 4129 4130 4131 +3 4132 4133 4134 +3 4135 4136 4137 +3 4138 4139 4140 +3 4141 4142 4143 +3 4144 4145 4146 +3 4147 4148 4149 +3 4150 4151 4152 +3 4153 4154 4155 +3 4156 4157 4158 +3 4159 4160 4161 +3 4162 4163 4164 +3 4165 4166 4167 +3 4168 4169 4170 +3 4171 4172 4173 +3 4174 4175 4176 +3 4177 4178 4179 +3 4180 4181 4182 +3 4183 4184 4185 +3 4186 4187 4188 +3 4189 4190 4191 +3 4192 4193 4194 +3 4195 4196 4197 +3 4198 4199 4200 +3 4201 4202 4203 +3 4204 4205 4206 +3 4207 4208 4209 +3 4210 4211 4212 +3 4213 4214 4215 +3 4216 4217 4218 +3 4219 4220 4221 +3 4222 4223 4224 +3 4225 4226 4227 +3 4228 4229 4230 +3 4231 4232 4233 +3 4234 4235 4236 +3 4237 4238 4239 +3 4240 4241 4242 +3 4243 4244 4245 +3 4246 4247 4248 +3 4249 4250 4251 +3 4252 4253 4254 +3 4255 4256 4257 +3 4258 4259 4260 +3 4261 4262 4263 +3 4264 4265 4266 +3 4267 4268 4269 +3 4270 4271 4272 +3 4273 4274 4275 +3 4276 4277 4278 +3 4279 4280 4281 +3 4282 4283 4284 +3 4285 4286 4287 +3 4288 4289 4290 +3 4291 4292 4293 +3 4294 4295 4296 +3 4297 4298 4299 +3 4300 4301 4302 +3 4303 4304 4305 +3 4306 4307 4308 +3 4309 4305 4310 +3 4311 4312 4313 +3 4314 4315 4316 +3 4317 4318 4319 +3 4320 4321 4322 +3 4323 4324 4325 +3 4326 4327 4328 +3 4329 4330 4331 +3 4332 4333 4334 +3 4335 4336 4337 +3 4338 4339 4340 +3 4341 4342 4343 +3 4344 4345 4346 +3 4347 4348 4349 +3 4350 4351 4352 +3 4353 4354 4355 +3 4356 4357 4358 +3 4359 4360 4361 +3 4362 4363 4364 +3 4365 4366 4367 +3 4368 4369 4370 +3 4371 4372 4373 +3 4374 4375 4376 +3 4377 4378 4379 +3 4380 4381 4382 +3 4383 4384 4385 +3 4386 4387 4388 +3 4389 4390 4391 +3 4392 4393 4394 +3 4395 4396 4397 +3 4398 4399 4400 +3 4401 4402 4403 +3 4404 4405 4406 +3 4407 4408 4409 +3 4410 4411 4412 +3 4413 4414 4415 +3 4416 4417 4418 +3 4419 4420 4421 +3 4422 4423 4424 +3 4425 4426 4427 +3 4428 4429 4430 +3 4431 4432 4433 +3 4434 4435 4436 +3 4437 4438 4439 +3 4440 4441 4442 +3 4443 4444 4445 +3 4446 4447 4448 +3 4449 4450 4451 +3 4452 4453 4454 +3 4455 4456 4457 +3 4458 4459 4460 +3 4461 4462 4463 +3 4464 4465 4466 +3 4467 4468 4469 +3 4470 4471 4472 +3 4473 4474 4475 +3 4476 4477 4478 +3 4479 4480 4481 +3 4482 4483 4484 +3 4485 4486 4487 +3 4488 4489 4490 +3 4491 4492 4493 +3 4494 4495 4496 +3 4497 4498 4499 +3 4500 4501 4502 +3 4503 4504 4505 +3 4506 4507 4508 +3 4509 4510 4511 +3 4512 4513 4514 +3 4515 4516 4517 +3 4518 4519 4520 +3 4521 4522 4523 +3 4524 4525 4526 +3 4527 4528 4529 +3 4530 4531 4532 +3 4533 4534 4535 +3 4536 4537 4538 +3 4539 4540 4541 +3 4542 4543 4544 +3 4545 4546 4547 +3 4548 4549 4550 +3 4551 4552 4553 +3 4554 4555 4556 +3 4557 4558 4559 +3 4560 4561 4562 +3 4563 4564 4565 +3 4566 4567 4568 +3 4569 4570 4571 +3 4572 4573 4574 +3 4575 4576 4577 +3 4578 4579 4580 +3 4581 4582 4583 +3 4584 4585 4586 +3 4587 4588 4589 +3 4590 4591 4592 +3 4593 4594 4595 +3 4596 4597 4598 +3 4599 4600 4601 +3 4602 4603 4604 +3 4605 4606 4607 +3 4608 4609 4610 +3 4611 4612 4613 +3 4614 4615 4616 +3 4617 4618 4619 +3 4620 4621 4622 +3 4623 4624 4625 +3 4626 4627 4628 +3 4629 4630 4631 +3 4632 4633 4634 +3 4635 4636 4637 +3 4638 4639 4640 +3 4641 4642 4643 +3 4644 4645 4646 +3 4647 4648 4649 +3 4650 4651 4652 +3 4653 4654 4655 +3 4656 4657 4658 +3 4659 4660 4661 +3 4662 4663 4664 +3 4665 4666 4667 +3 4668 4669 4670 +3 4671 4672 4673 +3 4674 4675 4676 +3 4677 4678 4679 +3 4680 4681 4682 +3 4683 4684 4685 +3 4686 4687 4688 +3 4689 4690 4691 +3 4692 4693 4694 +3 4695 4696 4697 +3 4698 4699 4700 +3 4701 4702 4703 +3 4704 4705 4706 +3 4707 4708 4709 +3 4710 4711 4712 +3 4713 4714 4715 +3 4716 4717 4718 +3 4719 4720 4721 +3 4722 4723 4724 +3 4725 4726 4727 +3 4728 4729 4730 +3 4731 4732 4733 +3 4734 4735 4736 +3 4737 4738 4739 +3 4740 4741 4742 +3 4743 4744 4745 +3 4746 4747 4748 +3 4749 4750 4751 +3 4752 4753 4754 +3 4755 4756 4757 +3 4758 4759 4760 +3 4761 4762 4763 +3 4764 4765 4766 +3 4767 4768 4769 +3 4770 4771 4772 +3 4773 4774 4775 +3 4776 4777 4778 +3 4779 4780 4781 +3 4782 4783 4784 +3 4785 4786 4787 +3 4788 4789 4790 +3 4791 4792 4793 +3 4794 4795 4796 +3 4797 4798 4799 +3 4800 4801 4802 +3 4803 4804 4805 +3 4806 4807 4808 +3 4809 4810 4811 +3 4812 4813 4814 +3 4815 4816 4817 +3 4818 4819 4820 +3 4821 4822 4823 +3 4824 4825 4826 +3 4827 4828 4829 +3 4830 4831 4832 +3 4833 4834 4835 +3 4836 4837 4838 +3 4839 4840 4841 +3 4842 4843 4844 +3 4845 4846 4847 +3 4848 4849 4850 +3 4851 4852 4853 +3 4854 4855 4856 +3 4857 4858 4859 +3 4860 4861 4862 +3 4863 4864 4865 +3 4866 4867 4868 +3 4869 4870 4871 +3 4872 4873 4874 +3 4875 4876 4877 +3 4878 4879 4880 +3 4881 4882 4883 +3 4884 4885 4886 +3 4887 4888 4889 +3 4890 4891 4892 +3 4893 4894 4895 +3 4896 4897 4898 +3 4899 4900 4901 +3 4902 4903 4904 +3 4905 4906 4907 +3 4908 4909 4910 +3 4911 4912 4913 +3 4914 4915 4916 +3 4917 4918 4919 +3 4920 4921 4922 +3 4923 4924 4925 +3 4926 4927 4928 +3 4929 4930 4931 +3 4932 4933 4934 +3 4935 4936 4937 +3 4938 4939 4940 +3 4941 4942 4943 +3 4944 4945 4946 +3 4947 4948 4949 +3 4950 4951 4952 +3 4953 4954 4955 +3 4956 4957 4958 +3 4959 4960 4961 +3 4962 4963 4964 +3 4965 4966 4967 +3 4968 4969 4970 +3 4971 4972 4973 +3 4974 4975 4976 +3 4977 4978 4979 +3 4980 4981 4982 +3 4983 4984 4985 +3 4986 4987 4988 +3 4989 4990 4991 +3 4992 4993 4994 +3 4995 4996 4997 +3 4998 4999 5000 +3 5001 5002 5003 +3 5004 5005 5006 +3 5007 5008 5009 +3 5010 5011 5012 +3 5013 5014 5015 +3 5016 5017 5018 +3 5019 5020 5021 +3 5022 5023 5024 +3 5025 5026 5027 +3 5028 5029 5030 +3 5031 5032 5033 +3 5034 5035 5036 +3 5037 5038 5039 +3 5040 5041 5042 +3 5043 5044 5045 +3 5046 5047 5048 +3 5049 5050 5051 +3 5052 5053 5054 +3 5055 5056 5057 +3 5058 5059 5060 +3 5061 5062 5063 +3 5064 5065 5066 +3 5067 5068 5069 +3 5070 5071 5072 +3 5073 5074 5075 +3 5076 5077 5078 +3 5079 5080 5081 +3 5082 5083 5084 +3 5085 5086 5087 +3 5088 5089 5090 +3 5091 5092 5093 +3 5094 5095 5096 +3 5097 5098 5099 +3 5100 5101 5102 +3 5103 5104 5105 +3 5106 5107 5108 +3 5109 5110 5111 +3 5112 5113 5114 +3 5115 5116 5117 +3 5118 5119 5120 +3 5121 5122 5123 +3 5124 5125 5126 +3 5127 5128 5129 +3 5130 5131 5132 +3 5133 5134 5135 +3 5136 5137 5138 +3 5139 5140 5141 +3 5142 5143 5144 +3 5145 5146 5147 +3 5148 5149 5150 +3 5151 5152 5153 +3 5154 5155 5156 +3 5157 5158 5159 +3 5160 5161 5162 +3 5163 5164 5165 +3 5166 5167 5168 +3 5169 5170 5171 +3 5172 5173 5174 +3 5175 5176 5177 +3 5178 5179 5180 +3 5181 5182 5183 +3 5184 5185 5186 +3 5187 5188 5189 +3 5190 5191 5192 +3 5193 5194 5195 +3 5196 5197 5198 +3 5199 5200 5201 +3 5202 5203 5204 +3 5205 5206 5207 +3 5208 5209 5210 +3 5211 5212 5213 +3 5214 5215 5216 +3 5217 5218 5219 +3 5220 5221 5222 +3 5223 5224 5225 +3 5226 5227 5228 +3 5229 5230 5231 +3 5232 5233 5234 +3 5235 5236 5237 +3 5238 5239 5240 +3 5241 5242 5243 +3 5244 5245 5246 +3 5247 5248 5249 +3 5250 5251 5252 +3 5253 5254 5255 +3 5256 5257 5258 +3 5259 5260 5261 +3 5262 5263 5264 +3 5265 5266 5267 +3 5268 5269 5270 +3 5271 5272 5273 +3 5274 5275 5276 +3 5277 5278 5279 +3 5280 5281 5282 +3 5283 5284 5285 +3 5286 5287 5288 +3 5289 5290 5291 +3 5292 5293 5294 +3 5295 5296 5297 +3 5298 5299 5300 +3 5301 5302 5303 +3 5304 5305 5306 +3 5307 5308 5309 +3 5310 5311 5312 +3 5313 5314 5315 +3 5316 5317 5318 +3 5319 5320 5321 +3 5322 5323 5324 +3 5325 5326 5327 +3 5328 5329 5330 +3 5331 5332 5333 +3 5334 5335 5336 +3 5337 5338 5339 +3 5340 5341 5342 +3 5343 5344 5345 +3 5346 5347 5348 +3 5349 5350 5351 +3 5352 5353 5354 +3 5355 5356 5357 +3 5358 5359 5360 +3 5361 5362 5363 +3 5364 5365 5366 +3 5367 5368 5369 +3 5370 5371 5372 +3 5373 5374 5375 +3 5376 5377 5378 +3 5379 5380 5381 +3 5382 5383 5384 +3 5385 5386 5387 +3 5388 5389 5390 +3 5391 5392 5393 +3 5394 5395 5396 +3 5397 5398 5399 +3 5400 5401 5402 +3 5403 5404 5405 +3 5406 5407 5408 +3 5409 5410 5411 +3 5412 5413 5414 +3 5415 5416 5417 +3 5418 5419 5420 +3 5421 5422 5423 +3 5424 5425 5426 +3 5427 5428 5429 +3 5430 5431 5432 +3 5433 5434 5435 +3 5436 5437 5438 +3 5439 5440 5441 +3 5442 5443 5444 +3 5445 5446 5447 +3 5448 5449 5450 +3 5451 5452 5453 +3 5454 5455 5456 +3 5457 5458 5459 +3 5460 5461 5462 +3 5463 5464 5465 +3 5466 5467 5468 +3 5469 5470 5471 +3 5472 5473 5474 +3 5475 5476 5477 +3 5478 5479 5480 +3 5481 5482 5483 +3 5484 5485 5486 +3 5487 5488 5489 +3 5490 5491 5492 +3 5493 5494 5495 +3 5496 5497 5498 +3 5499 5500 5501 +3 5502 5503 5504 +3 5505 5506 5507 +3 5508 5509 5510 +3 5511 5512 5513 +3 5514 5515 5516 +3 5517 5518 5519 +3 5520 5521 5522 +3 5523 5524 5525 +3 5526 5527 5528 +3 5529 5530 5531 +3 5532 5533 5534 +3 5535 5536 5537 +3 5538 5539 5540 +3 5541 5542 5543 +3 5544 5545 5546 +3 5547 5548 5549 +3 5550 5551 5552 +3 5553 5554 5555 +3 5556 5557 5558 +3 5559 5560 5561 +3 5562 5563 5564 +3 5565 5566 5567 +3 5568 5569 5570 +3 5571 5572 5573 +3 5574 5575 5576 +3 5577 5578 5579 +3 5580 5581 5582 +3 5583 5584 5585 +3 5586 5587 5588 +3 5589 5590 5591 +3 5592 5593 5594 +3 5595 5596 5597 +3 5598 5599 5600 +3 5601 5602 5603 +3 5604 5605 5606 +3 5607 5608 5609 +3 5610 5611 5612 +3 5613 5614 5615 +3 5616 5617 5618 +3 5619 5620 5621 +3 5622 5623 5624 +3 5625 5626 5627 +3 5628 5629 5630 +3 5631 5632 5633 +3 5634 5635 5636 +3 5637 5638 5639 +3 5640 5641 5642 +3 5643 5644 5645 +3 5646 5647 5648 +3 5649 5650 5651 +3 5652 5653 5654 +3 5655 5656 5657 +3 5658 5659 5660 +3 5661 5662 5663 +3 5664 5665 5666 +3 5667 5668 5669 +3 5670 5671 5672 +3 5673 5674 5675 +3 5676 5677 5678 +3 5679 5680 5681 +3 5682 5683 5684 +3 5685 5686 5687 +3 5688 5689 5690 +3 5691 5692 5693 +3 5694 5695 5696 +3 5697 5698 5699 +3 5700 5701 5702 +3 5703 5704 5705 +3 5706 5707 5708 +3 5709 5710 5711 +3 5712 5713 5714 +3 5715 5716 5717 +3 5718 5719 5720 +3 5721 5722 5723 +3 5724 5725 5726 +3 5727 5728 5729 +3 5730 5731 5732 +3 5733 5734 5735 +3 5736 5737 5738 +3 5739 5740 5741 +3 5742 5743 5744 +3 5745 5746 5747 +3 5748 5749 5750 +3 5751 5752 5753 +3 5754 5755 5756 +3 5757 5758 5759 +3 5760 5761 5762 +3 5763 5764 5765 +3 5766 5767 5768 +3 5769 5770 5771 +3 5772 5773 5774 +3 5775 5776 5777 +3 5778 5779 5780 +3 5781 5782 5783 +3 5784 5785 5786 +3 5787 5788 5789 +3 5790 5791 5792 +3 5793 5794 5795 +3 5796 5797 5798 +3 5799 5800 5801 +3 5802 5803 5804 +3 5805 5806 5807 +3 5808 5809 5810 +3 5811 5812 5813 +3 5814 5815 5816 +3 5817 5818 5819 +3 5820 5821 5822 +3 5823 5824 5825 +3 5826 5827 5828 +3 5829 5830 5831 +3 5832 5833 5834 +3 5835 5836 5837 +3 5838 5839 5840 +3 5841 5842 5843 +3 5844 5845 5846 +3 5847 5848 5849 +3 5850 5851 5852 +3 5853 5854 5855 +3 5856 5857 5858 +3 5859 5860 5861 +3 5862 5863 5864 +3 5865 5866 5867 +3 5868 5869 5870 +3 5871 5872 5873 +3 5874 5875 5876 +3 5877 5878 5879 +3 5880 5881 5882 +3 5883 5884 5885 +3 5886 5887 5888 +3 5889 5890 5891 +3 5892 5893 5894 +3 5895 5896 5897 +3 5898 5899 5900 +3 5901 5902 5903 +3 5904 5905 5906 +3 5907 5908 5909 +3 5910 5911 5912 +3 5913 5914 5915 +3 5916 5917 5918 +3 5919 5920 5921 +3 5922 5923 5924 +3 5925 5926 5927 +3 5928 5929 5930 +3 5931 5932 5933 +3 5934 5935 5936 +3 5937 5938 5939 +3 5940 5941 5942 +3 5943 5944 5945 +3 5946 5947 5948 +3 5949 5950 5951 +3 5952 5953 5954 +3 5955 5956 5957 +3 5958 5959 5960 +3 5961 5962 5963 +3 5964 5965 5966 +3 5967 5968 5969 +3 5970 5971 5972 +3 5973 5974 5975 +3 5976 5977 5978 +3 5979 5980 5981 +3 5982 5983 5984 +3 5985 5986 5987 +3 5988 5989 5990 +3 5991 5992 5993 +3 5994 5995 5996 +3 5997 5998 5999 +3 6000 6001 6002 +3 6003 6004 6005 +3 6006 6007 6008 +3 6009 6010 6011 +3 6012 6013 6014 +3 6015 6016 6017 +3 6018 6019 6020 +3 6021 6022 6023 +3 6024 6025 6026 +3 6027 6028 6029 +3 6030 6031 6032 +3 6033 6034 6035 +3 6036 6037 6038 +3 6039 6040 6041 +3 6042 6043 6044 +3 6045 6046 6047 +3 6048 6049 6050 +3 6051 6052 6053 +3 6054 6055 6056 +3 6057 6058 6059 +3 6060 6061 6062 +3 6063 6064 6065 +3 6066 6067 6068 +3 6069 6070 6071 +3 6072 6073 6074 +3 6075 6076 6077 +3 6078 6079 6080 +3 6081 6082 6083 +3 6084 6085 6086 +3 6087 6088 6089 +3 6090 6091 6092 +3 6093 6094 6095 +3 6096 6097 6098 +3 6099 6100 6101 +3 6102 6103 6104 +3 6105 6106 6107 +3 6108 6109 6110 +3 6111 6112 6113 +3 6114 6115 6116 +3 6117 6118 6119 +3 6120 6121 6122 +3 6123 6124 6125 +3 6126 6127 6128 +3 6129 6130 6131 +3 6132 6133 6134 +3 6135 6136 6137 +3 6138 6139 6140 +3 6141 6142 6143 +3 6144 6145 6146 +3 6147 6148 6149 +3 6150 6151 6152 +3 6153 6154 6155 +3 6156 6157 6158 +3 6159 6160 6161 +3 6162 6163 6164 +3 6165 6166 6167 +3 6168 6169 6170 +3 6171 6172 6173 +3 6174 6175 6176 +3 6177 6178 6179 +3 6180 6181 6182 +3 6183 6184 6185 +3 6186 6187 6188 +3 6189 6190 6191 +3 6192 6193 6194 +3 6195 6196 6197 +3 6198 6199 6200 +3 6201 6202 6203 +3 6204 6205 6206 +3 6207 6208 6209 +3 6210 6211 6212 +3 6213 6214 6215 +3 6216 6217 6218 +3 6219 6220 6221 +3 6222 6223 6224 +3 6225 6226 6227 +3 6228 6229 6230 +3 6231 6232 6233 +3 6234 6235 6236 +3 6237 6238 6239 +3 6240 6241 6242 +3 6243 6244 6245 +3 6246 6247 6248 +3 6249 6250 6251 +3 6252 6253 6254 +3 6255 6256 6257 +3 6258 6259 6260 +3 6261 6262 6263 +3 6264 6265 6266 +3 6267 6268 6269 +3 6270 6271 6272 +3 6273 6274 6275 +3 6276 6277 6278 +3 6279 6280 6281 +3 6282 6283 6284 +3 6285 6286 6287 +3 6288 6289 6290 +3 6291 6292 6293 +3 6294 6295 6296 +3 6297 6298 6299 +3 6300 6301 6302 +3 6303 6304 6305 +3 6306 6307 6308 +3 6309 6310 6311 +3 6312 6313 6314 +3 6315 6316 6317 +3 6318 6319 6320 +3 6321 6322 6323 +3 6324 6325 6326 +3 6327 6328 6329 +3 6330 6331 6332 +3 6333 6334 6335 +3 6336 6337 6338 +3 6339 6340 6341 +3 6342 6343 6344 +3 6345 6346 6347 +3 6348 6349 6350 +3 6351 6352 6353 +3 6354 6355 6356 +3 6357 6358 6359 +3 6360 6361 6362 +3 6363 6364 6365 +3 6366 6367 6368 +3 6369 6370 6371 +3 6372 6373 6374 +3 6375 6376 6377 +3 6378 6379 6380 +3 6381 6382 6383 +3 6384 6385 6386 +3 6387 6388 6389 +3 6390 6391 6392 +3 6393 6394 6395 +3 6396 6397 6398 +3 6399 6400 6401 +3 6402 6403 6404 +3 6405 6406 6407 +3 6408 6409 6410 +3 6411 6412 6413 +3 6414 6415 6416 +3 6417 6418 6419 +3 6420 6421 6422 +3 6423 6424 6425 +3 6426 6427 6428 +3 6429 6430 6431 +3 6432 6433 6434 +3 6435 6436 6437 +3 6438 6439 6440 +3 6441 6442 6443 +3 6444 6445 6446 +3 6447 6448 6449 +3 6450 6451 6452 +3 6453 6454 6455 +3 6456 6457 6458 +3 6459 6460 6461 +3 6462 6463 6464 +3 6465 6466 6467 +3 6468 6469 6470 +3 6471 6472 6473 +3 6474 6475 6476 +3 6477 6478 6479 +3 6480 6481 6482 +3 6483 6484 6485 +3 6486 6487 6488 +3 6489 6490 6491 +3 6492 6493 6494 +3 6495 6496 6497 +3 6498 6499 6500 +3 6501 6502 6503 +3 6504 6505 6506 +3 6507 6508 6509 +3 6510 6511 6512 +3 6513 6514 6515 +3 6516 6517 6518 +3 6519 6520 6521 +3 6522 6523 6524 +3 6525 6526 6527 +3 6528 6529 6530 +3 6531 6532 6533 +3 6534 6535 6536 +3 6537 6538 6539 +3 6540 6541 6542 +3 6543 6544 6545 +3 6546 6547 6548 +3 6549 6550 6551 +3 6552 6553 6554 +3 6555 6556 6557 +3 6558 6559 6560 +3 6561 6562 6563 +3 6564 6565 6566 +3 6567 6568 6569 +3 6570 6571 6572 +3 6573 6574 6575 +3 6576 6577 6578 +3 6579 6580 6581 +3 6582 6583 6584 +3 6585 6586 6587 +3 6588 6589 6590 +3 6591 6592 6593 +3 6594 6595 6596 +3 6597 6598 6599 +3 6600 6601 6602 +3 6603 6604 6605 +3 6606 6607 6608 +3 6609 6610 6611 +3 6612 6613 6614 +3 6615 6616 6617 +3 6618 6619 6620 +3 6621 6622 6623 +3 6624 6625 6626 +3 6627 6628 6629 +3 6630 6631 6632 +3 6633 6634 6635 +3 6636 6637 6638 +3 6639 6640 6641 +3 6642 6643 6644 +3 6645 6646 6647 +3 6648 6649 6650 +3 6651 6652 6653 +3 6654 6655 6656 +3 6657 6658 6659 +3 6660 6661 6662 +3 6663 6664 6665 +3 6666 6667 6668 +3 6669 6670 6671 +3 6672 6673 6674 +3 6675 6676 6677 +3 6678 6679 6680 +3 6681 6682 6683 +3 6684 6685 6686 +3 6687 6688 6689 +3 6690 6691 6692 +3 6693 6694 6695 +3 6696 6697 6698 +3 6699 6700 6701 +3 6702 6703 6704 +3 6705 6706 6707 +3 6708 6709 6710 +3 6711 6712 6713 +3 6714 6715 6716 +3 6717 6718 6719 +3 6720 6721 6722 +3 6723 6724 6725 +3 6726 6727 6728 +3 6729 6730 6731 +3 6732 6733 6734 +3 6735 6736 6737 +3 6738 6739 6740 +3 6741 6742 6743 +3 6744 6745 6746 +3 6747 6748 6749 +3 6750 6751 6752 +3 6753 6754 6755 +3 6756 6757 6758 +3 6759 6760 6761 +3 6762 6763 6764 +3 6765 6766 6767 +3 6768 6769 6770 +3 6771 6772 6773 +3 6774 6775 6776 +3 6777 6778 6779 +3 6780 6781 6782 +3 6783 6784 6785 +3 6786 6787 6788 +3 6789 6790 6791 +3 6792 6793 6794 +3 6795 6796 6797 +3 6798 6799 6800 +3 6801 6802 6803 +3 6804 6805 6806 +3 6807 6808 6809 +3 6810 6811 6812 +3 6813 6814 6815 +3 6816 6817 6818 +3 6819 6820 6821 +3 6822 6823 6824 +3 6825 6826 6827 +3 6828 6829 6830 +3 6831 6832 6833 +3 6834 6835 6836 +3 6837 6838 6839 +3 6840 6841 6842 +3 6843 6844 6845 +3 6846 6847 6848 +3 6849 6850 6851 +3 6852 6853 6854 +3 6855 6856 6857 +3 6858 6859 6860 +3 6861 6862 6863 +3 6864 6865 6866 +3 6867 6868 6869 +3 6870 6871 6872 +3 6873 6874 6875 +3 6876 6877 6878 +3 6879 6880 6881 +3 6882 6883 6884 +3 6885 6886 6887 +3 6888 6889 6890 +3 6891 6892 6893 +3 6894 6895 6896 +3 6897 6898 6899 +3 6900 6901 6902 +3 6903 6904 6905 +3 6906 6907 6908 +3 6909 6910 6911 +3 6912 6913 6914 +3 6915 6916 6917 +3 6918 6919 6920 +3 6921 6922 6923 +3 6924 6925 6926 +3 6927 6928 6929 +3 6930 6931 6932 +3 6933 6934 6935 +3 6936 6937 6938 +3 6939 6940 6941 +3 6942 6943 6944 +3 6945 6946 6947 +3 6948 6949 6950 +3 6951 6952 6953 +3 6954 6955 6956 +3 6957 6958 6959 +3 6960 6961 6962 +3 6963 6964 6965 +3 6966 6967 6968 +3 6969 6970 6971 +3 6972 6973 6974 +3 6975 6976 6977 +3 6978 6979 6980 +3 6981 6982 6983 +3 6984 6985 6986 +3 6987 6988 6989 +3 6990 6991 6992 +3 6993 6994 6995 +3 6996 6997 6998 +3 6999 7000 7001 +3 7002 7003 7004 +3 7005 7006 7007 +3 7008 7009 7010 +3 7011 7012 7013 +3 7014 7015 7016 +3 7017 7018 7019 +3 7020 7021 7022 +3 7023 7024 7025 +3 7026 7027 7028 +3 7029 7030 7031 +3 7032 7033 7034 +3 7035 7036 7037 +3 7038 7039 7040 +3 7041 7042 7043 +3 7044 7045 7046 +3 7047 7048 7049 +3 7050 7051 7052 +3 7053 7054 7055 +3 7056 7057 7058 +3 7059 7060 7061 +3 7062 7063 7064 +3 7065 7066 7067 +3 7068 7069 7070 +3 7071 7072 7073 +3 7074 7075 7076 +3 7077 7078 7079 +3 7080 7081 7082 +3 7083 7084 7085 +3 7086 7087 7088 +3 7089 7090 7091 +3 7092 7093 7094 +3 7095 7096 7097 +3 7098 7099 7100 +3 7101 7102 7103 +3 7104 7105 7106 +3 7107 7108 7109 +3 7110 7111 7112 +3 7113 7114 7115 +3 7116 7117 7118 +3 7119 7120 7121 +3 7122 7123 7124 +3 7125 7126 7127 +3 7128 7129 7130 +3 7131 7132 7133 +3 7134 7135 7136 +3 7137 7138 7139 +3 7140 7141 7142 +3 7143 7144 7145 +3 7146 7147 7148 +3 7149 7150 7151 +3 7152 7153 7154 +3 7155 7156 7157 +3 7158 7159 7160 +3 7161 7162 7163 +3 7164 7165 7166 +3 7167 7168 7169 +3 7170 7171 7172 +3 7173 7174 7175 +3 7176 7177 7178 +3 7179 7180 7181 +3 7182 7183 7184 +3 7185 7186 7187 +3 7188 7189 7190 +3 7191 7192 7193 +3 7194 7195 7196 +3 7197 7198 7199 +3 7200 7201 7202 +3 7203 7204 7205 +3 7206 7207 7208 +3 7209 7210 7211 +3 7212 7213 7214 +3 7215 7216 7217 +3 7218 7219 7220 +3 7221 7222 7223 +3 7224 7225 7226 +3 7227 7228 7229 +3 7230 7231 7232 +3 7233 7234 7235 +3 7236 7237 7238 +3 7239 7240 7241 +3 7242 7243 7244 +3 7245 7246 7247 +3 7248 7249 7250 +3 7251 7252 7253 +3 7254 7255 7256 +3 7257 7258 7259 +3 7260 7261 7262 +3 7263 7264 7265 +3 7266 7267 7268 +3 7269 7270 7271 +3 7272 7273 7274 +3 7275 7276 7277 +3 7278 7279 7280 +3 7281 7282 7283 +3 7284 7285 7286 +3 7287 7288 7289 +3 7290 7291 7292 +3 7293 7294 7295 +3 7296 7297 7298 +3 7299 7300 7301 +3 7302 7303 7304 +3 7305 7306 7307 +3 7308 7309 7310 +3 7311 7312 7313 +3 7314 7315 7316 +3 7317 7318 7319 +3 7320 7321 7322 +3 7323 7324 7325 +3 7326 7327 7328 +3 7329 7330 7331 +3 7332 7333 7334 +3 7335 7336 7337 +3 7338 7339 7340 +3 7341 7342 7343 +3 7344 7345 7346 +3 7347 7348 7349 +3 7350 7351 7352 +3 7353 7354 7355 +3 7356 7357 7358 +3 7359 7360 7361 +3 7362 7363 7364 +3 7365 7366 7367 +3 7368 7369 7370 +3 7371 7372 7373 +3 7374 7375 7376 +3 7377 7378 7379 +3 7380 7381 7382 +3 7383 7384 7385 +3 7386 7387 7388 +3 7389 7390 7391 +3 7392 7393 7394 +3 7395 7396 7397 +3 7398 7399 7400 +3 7401 7402 7403 +3 7404 7405 7406 +3 7407 7408 7409 +3 7410 7411 7412 +3 7413 7414 7415 +3 7416 7417 7418 +3 7419 7420 7421 +3 7422 7423 7424 +3 7425 7426 7427 +3 7428 7429 7430 +3 7431 7432 7433 +3 7434 7435 7436 +3 7437 7438 7439 +3 7440 7441 7442 +3 7443 7444 7445 +3 7446 7447 7448 +3 7449 7450 7451 +3 7452 7453 7454 +3 7455 7456 7457 +3 7458 7459 7460 +3 7461 7462 7463 +3 7464 7465 7466 +3 7467 7468 7469 +3 7470 7471 7472 +3 7473 7474 7475 +3 7476 7477 7478 +3 7479 7480 7481 +3 7482 7483 7484 +3 7485 7486 7487 +3 7488 7489 7490 +3 7491 7492 7493 +3 7494 7495 7496 +3 7497 7498 7499 +3 7500 7501 7502 +3 7503 7504 7505 +3 7506 7507 7508 +3 7509 7510 7511 +3 7512 7513 7514 +3 7515 7516 7517 +3 7518 7519 7520 +3 7521 7522 7523 +3 7524 7525 7526 +3 7527 7528 7529 +3 7530 7531 7532 +3 7533 7534 7535 +3 7536 7537 7538 +3 7539 7540 7541 +3 7542 7543 7544 +3 7545 7546 7547 +3 7548 7549 7550 +3 7551 7552 7553 +3 7554 7555 7556 +3 7557 7558 7559 +3 7560 7561 7562 +3 7563 7564 7565 +3 7566 7567 7568 +3 7569 7570 7571 +3 7572 7573 7574 +3 7575 7576 7577 +3 7578 7579 7580 +3 7581 7582 7583 +3 7584 7585 7586 +3 7587 7588 7589 +3 7590 7591 7592 +3 7593 7594 7595 +3 7596 7597 7598 +3 7599 7600 7601 +3 7602 7603 7604 +3 7605 7606 7607 +3 7608 7609 7610 +3 7611 7612 7613 +3 7614 7615 7616 +3 7617 7618 7619 +3 7620 7621 7622 +3 7623 7624 7625 +3 7626 7627 7628 +3 7629 7630 7631 +3 7632 7633 7634 +3 7635 7636 7637 +3 7638 7639 7640 +3 7641 7642 7643 +3 7644 7645 7646 +3 7647 7648 7649 +3 7650 7651 7652 +3 7653 7654 7655 +3 7656 7657 7658 +3 7659 7660 7661 +3 7662 7663 7664 +3 7665 7666 7667 +3 7668 7669 7670 +3 7671 7672 7673 +3 7674 7675 7676 +3 7677 7678 7679 +3 7680 7681 7682 +3 7683 7684 7685 +3 7686 7687 7688 +3 7689 7690 7691 +3 7692 7693 7694 +3 7695 7696 7697 +3 7698 7699 7700 +3 7701 7702 7703 +3 7704 7705 7706 +3 7707 7708 7709 +3 7710 7711 7712 +3 7713 7714 7715 +3 7716 7717 7718 +3 7719 7720 7721 +3 7722 7723 7724 +3 7725 7726 7727 +3 7728 7729 7730 +3 7731 7732 7733 +3 7734 7735 7736 +3 7737 7738 7739 +3 7740 7741 7742 +3 7743 7744 7745 +3 7746 7747 7748 +3 7749 7750 7751 +3 7752 7753 7754 +3 7755 7756 7757 +3 7758 7759 7760 +3 7761 7762 7763 +3 7764 7765 7766 +3 7767 7768 7769 +3 7770 7771 7772 +3 7773 7774 7775 +3 7776 7777 7778 +3 7779 7780 7781 +3 7782 7783 7784 +3 7785 7786 7787 +3 7788 7789 7790 +3 7791 7792 7793 +3 7794 7795 7796 +3 7797 7798 7799 +3 7800 7801 7802 +3 7803 7804 7805 +3 7806 7807 7808 +3 7809 7810 7811 +3 7812 7813 7814 +3 7815 7816 7817 +3 7818 7819 7820 +3 7821 7822 7823 +3 7824 7825 7826 +3 7827 7828 7829 +3 7830 7831 7832 +3 7833 7834 7835 +3 7836 7837 7838 +3 7839 7840 7841 +3 7842 7843 7844 +3 7845 7846 7847 +3 7848 7849 7850 +3 7851 7852 7853 +3 7854 7855 7856 +3 7857 7858 7859 +3 7860 7861 7862 +3 7863 7864 7865 +3 7866 7867 7868 +3 7869 7870 7871 +3 7872 7873 7874 +3 7875 7876 7877 +3 7878 7879 7880 +3 7881 7882 7883 +3 7884 7885 7886 +3 7887 7888 7889 +3 7890 7891 7892 +3 7893 7894 7895 +3 7896 7897 7898 +3 7899 7900 7901 +3 7902 7903 7904 +3 7905 7906 7907 +3 7908 7909 7910 +3 7911 7912 7913 +3 7914 7915 7916 +3 7917 7918 7919 +3 7920 7921 7922 +3 7923 7924 7925 +3 7926 7927 7928 +3 7929 7930 7931 +3 7932 7933 7934 +3 7935 7936 7937 +3 7938 7939 7940 +3 7941 7942 7943 +3 7944 7945 7946 +3 7947 7948 7949 +3 7950 7951 7952 +3 7953 7954 7955 +3 7956 7957 7958 +3 7959 7960 7961 +3 7962 7963 7964 +3 7965 7966 7967 +3 7968 7969 7970 +3 7971 7972 7973 +3 7974 7975 7976 +3 7977 7978 7979 +3 7980 7981 7982 +3 7983 7984 7985 +3 7986 7987 7988 +3 7989 7990 7991 +3 7992 7993 7994 +3 7995 7996 7997 +3 7998 7999 8000 +3 8001 8002 8003 +3 8004 8005 8006 +3 8007 8008 8009 +3 8010 8011 8012 +3 8013 8014 8015 +3 8016 8017 8018 +3 8019 8020 8021 +3 8022 8023 8024 +3 8025 8026 8027 +3 8028 8029 8030 +3 8031 8032 8033 +3 8034 8035 8036 +3 8037 8038 8039 +3 8040 8041 8042 +3 8043 8044 8045 +3 8046 8047 8048 +3 8049 8050 8051 +3 8052 8053 8054 +3 8055 8056 8057 +3 8058 8059 8060 +3 8061 8062 8063 +3 8064 8065 8066 +3 8067 8068 8069 +3 8070 8071 8072 +3 8073 8074 8075 +3 8076 8077 8078 +3 8079 8080 8081 +3 8082 8083 8084 +3 8085 8086 8087 +3 8088 8089 8090 +3 8091 8092 8093 +3 8094 8095 8096 +3 8097 8098 8099 +3 8100 8101 8102 +3 8103 8104 8105 +3 8106 8107 8108 +3 8109 8110 8111 +3 8112 8113 8114 +3 8115 8116 8117 +3 8118 8119 8120 +3 8121 8122 8123 +3 8124 8125 8126 +3 8127 8128 8129 +3 8130 8131 8132 +3 8133 8134 8135 +3 8136 8137 8138 +3 8139 8140 8141 +3 8142 8143 8144 +3 8145 8146 8147 +3 8148 8149 8150 +3 8151 8152 8153 +3 8154 8155 8156 +3 8157 8158 8159 +3 8160 8161 8162 +3 8163 8164 8165 +3 8166 8167 8168 +3 8169 8170 8171 +3 8172 8173 8174 +3 8175 8176 8177 +3 8178 8179 8180 +3 8181 8182 8183 +3 8184 8185 8186 +3 8187 8188 8189 +3 8190 8191 8192 +3 8193 8194 8195 +3 8196 8197 8198 +3 8199 8195 8200 +3 8201 8200 8202 +3 8200 8195 8202 +3 8203 8204 8205 +3 8206 8207 8208 +3 8209 8210 8211 +3 8212 8213 8214 +3 8215 8216 8217 +3 8218 8219 8220 +3 8221 8222 8223 +3 8224 8225 8226 +3 8227 8228 8229 +3 8230 8231 8232 +3 8233 8234 8235 +3 8236 8237 8238 +3 8239 8240 8241 +3 8242 8243 8244 +3 8245 8246 8247 +3 8248 8249 8250 +3 8251 8252 8253 +3 8254 8255 8256 +3 8257 8258 8259 +3 8260 8261 8262 +3 8263 8264 8265 +3 8266 8267 8268 +3 8269 8270 8271 +3 8272 8273 8274 +3 8275 8276 8277 +3 8278 8279 8280 +3 8281 8282 8283 +3 8284 8285 8286 +3 8287 8288 8289 +3 8290 8291 8292 +3 8293 8294 8295 +3 8296 8297 8298 +3 8299 8300 8301 +3 8302 8303 8304 +3 8305 8306 8307 +3 8308 8309 8310 +3 8311 8312 8313 +3 8314 8315 8316 +3 8317 8318 8319 +3 8320 8321 8322 +3 8323 8324 8325 +3 8326 8327 8328 +3 8329 8330 8331 +3 8332 8333 8334 +3 8335 8336 8337 +3 8338 8339 8340 +3 8341 8342 8343 +3 8344 8345 8346 +3 8347 8348 8349 +3 8350 8351 8352 +3 8353 8354 8355 +3 8356 8357 8358 +3 8359 8360 8361 +3 8362 8363 8364 +3 8365 8366 8367 +3 8368 8369 8370 +3 8371 8372 8373 +3 8374 8375 8376 +3 8377 8378 8379 +3 8380 8381 8382 +3 8383 8384 8385 +3 8386 8387 8388 +3 8389 8390 8391 +3 8392 8393 8394 +3 8395 8396 8397 +3 8398 8399 8400 +3 8401 8402 8403 +3 8404 8405 8406 +3 8407 8408 8409 +3 8410 8411 8412 +3 8413 8414 8415 +3 8416 8417 8418 +3 8419 8420 8421 +3 8422 8423 8424 +3 8425 8426 8427 +3 8428 8429 8430 +3 8431 8432 8433 +3 8434 8435 8436 +3 8437 8438 8439 +3 8440 8441 8442 +3 8443 8444 8445 +3 8446 8447 8448 +3 8449 8450 8451 +3 8452 8453 8454 +3 8455 8456 8457 +3 8458 8459 8460 +3 8461 8462 8463 +3 8464 8465 8466 +3 8467 8468 8469 +3 8470 8471 8472 +3 8473 8474 8475 +3 8476 8477 8478 +3 8479 8480 8481 +3 8482 8483 8484 +3 8485 8486 8487 +3 8488 8489 8490 +3 8491 8492 8493 +3 8494 8495 8496 +3 8497 8498 8499 +3 8500 8501 8502 +3 8503 8504 8505 +3 8506 8507 8508 +3 8509 8510 8511 +3 8512 8513 8514 +3 8515 8516 8517 +3 8518 8519 8520 +3 8521 8522 8523 +3 8524 8525 8526 +3 8527 8528 8529 +3 8530 8531 8532 +3 8533 8534 8535 +3 8536 8537 8538 +3 8539 8540 8541 +3 8542 8543 8544 +3 8545 8546 8547 +3 8548 8549 8550 +3 8551 8552 8553 +3 8554 8555 8556 +3 8557 8558 8559 +3 8560 8561 8562 +3 8563 8564 8565 +3 8566 8567 8568 +3 8569 8570 8571 +3 8572 8573 8574 +3 8575 8576 8577 +3 8578 8579 8580 +3 8581 8582 8583 +3 8584 8585 8586 +3 8587 8588 8589 +3 8590 8591 8592 +3 8593 8594 8595 +3 8596 8597 8598 +3 8599 8600 8601 +3 8602 8603 8604 +3 8605 8606 8607 +3 8608 8609 8610 +3 8611 8612 8613 +3 8614 8615 8616 +3 8617 8618 8619 +3 8620 8621 8622 +3 8623 8624 8625 +3 8626 8627 8628 +3 8629 8630 8631 +3 8632 8633 8634 +3 8635 8636 8637 +3 8638 8639 8640 +3 8641 8642 8643 +3 8644 8645 8646 +3 8647 8648 8649 +3 8650 8651 8652 +3 8653 8654 8655 +3 8656 8657 8658 +3 8659 8660 8661 +3 8662 8663 8664 +3 8665 8666 8667 +3 8668 8669 8670 +3 8671 8672 8673 +3 8674 8675 8676 +3 8677 8678 8679 +3 8680 8681 8682 +3 8683 8684 8685 +3 8686 8687 8688 +3 8689 8690 8691 +3 8692 8693 8694 +3 8695 8696 8697 +3 8698 8699 8700 +3 8701 8702 8703 +3 8704 8705 8706 +3 8707 8708 8709 +3 8710 8711 8712 +3 8713 8714 8715 +3 8716 8717 8718 +3 8719 8720 8721 +3 8722 8723 8724 +3 8725 8726 8727 +3 8728 8729 8730 +3 8731 8732 8733 +3 8734 8735 8736 +3 8737 8738 8739 +3 8740 8741 8742 +3 8743 8744 8745 +3 8746 8747 8748 +3 8749 8750 8751 +3 8752 8753 8754 +3 8755 8756 8757 +3 8758 8759 8760 +3 8761 8762 8763 +3 8764 8765 8766 +3 8767 8768 8769 +3 8770 8771 8772 +3 8773 8774 8775 +3 8776 8777 8778 +3 8779 8780 8781 +3 8782 8783 8784 +3 8785 8786 8787 +3 8788 8789 8790 +3 8791 8792 8793 +3 8794 8795 8796 +3 8797 8798 8799 +3 8800 8801 8802 +3 8803 8804 8805 +3 8806 8807 8808 +3 8809 8810 8811 +3 8812 8813 8814 +3 8815 8816 8817 +3 8818 8819 8820 +3 8821 8822 8823 +3 8824 8825 8826 +3 8827 8828 8829 +3 8830 8831 8832 +3 8833 8834 8835 +3 8836 8837 8838 +3 8839 8840 8841 +3 8842 8843 8844 +3 8845 8846 8847 +3 8848 8849 8850 +3 8851 8852 8853 +3 8854 8855 8856 +3 8857 8858 8859 +3 8860 8861 8862 +3 8863 8864 8865 +3 8866 8867 8868 +3 8869 8870 8871 +3 8872 8873 8874 +3 8875 8876 8877 +3 8878 8879 8880 +3 8881 8882 8883 +3 8884 8885 8886 +3 8887 8888 8889 +3 8890 8891 8892 +3 8893 8894 8895 +3 8896 8897 8898 +3 8899 8900 8901 +3 8902 8903 8904 +3 8905 8906 8907 +3 8908 8909 8910 +3 8911 8912 8913 +3 8914 8915 8916 +3 8917 8918 8919 +3 8920 8921 8922 +3 8923 8924 8925 +3 8926 8927 8928 +3 8929 8930 8931 +3 8932 8933 8934 +3 8935 8936 8937 +3 8938 8939 8940 +3 8941 8942 8943 +3 8944 8945 8946 +3 8947 8948 8949 +3 8950 8951 8952 +3 8953 8954 8955 +3 8956 8957 8958 +3 8959 8960 8961 +3 8962 8963 8964 +3 8965 8966 8967 +3 8968 8969 8970 +3 8971 8972 8973 +3 8974 8975 8976 +3 8977 8978 8979 +3 8980 8981 8982 +3 8983 8984 8985 +3 8986 8987 8988 +3 8989 8990 8991 +3 8992 8993 8994 +3 8995 8996 8997 +3 8998 8999 9000 +3 9001 9002 9003 +3 9004 9005 9006 +3 9007 9008 9009 +3 9010 9011 9012 +3 9013 9014 9015 +3 9016 9017 9018 +3 9019 9020 9021 +3 9022 9023 9024 +3 9025 9026 9027 +3 9028 9029 9030 +3 9031 9032 9033 +3 9034 9035 9036 +3 9037 9038 9039 +3 9040 9041 9042 +3 9043 9044 9045 +3 9046 9047 9048 +3 9049 9050 9051 +3 9052 9053 9054 +3 9055 9056 9057 +3 9058 9059 9060 +3 9061 9062 9063 +3 9064 9065 9066 +3 9067 9068 9069 +3 9070 9071 9072 +3 9073 9074 9075 +3 9076 9077 9078 +3 9079 9080 9081 +3 9082 9083 9084 +3 9085 9086 9087 +3 9088 9089 9090 +3 9091 9092 9093 +3 9094 9095 9096 +3 9097 9098 9099 +3 9100 9101 9102 +3 9103 9104 9105 +3 9106 9107 9108 +3 9109 9110 9111 +3 9112 9113 9114 +3 9115 9116 9117 +3 9118 9119 9120 +3 9121 9122 9123 +3 9124 9125 9126 +3 9127 9128 9129 +3 9130 9131 9132 +3 9133 9134 9135 +3 9136 9137 9138 +3 9139 9140 9141 +3 9142 9143 9144 +3 9145 9146 9147 +3 9148 9149 9150 +3 9151 9152 9153 +3 9154 9155 9156 +3 9157 9158 9159 +3 9160 9161 9162 +3 9163 9164 9165 +3 9166 9167 9168 +3 9169 9170 9171 +3 9172 9173 9174 +3 9175 9176 9177 +3 9178 9179 9180 +3 9181 9182 9183 +3 9184 9185 9186 +3 9187 9188 9189 +3 9190 9191 9192 +3 9193 9194 9195 +3 9196 9197 9198 +3 9199 9200 9201 +3 9202 9203 9204 +3 9205 9206 9207 +3 9208 9209 9210 +3 9211 9212 9213 +3 9214 9215 9216 +3 9217 9218 9219 +3 9220 9221 9222 +3 9223 9224 9225 +3 9226 9227 9228 +3 9229 9230 9231 +3 9232 9228 9233 +3 9234 9235 9236 +3 9237 9238 9239 +3 9240 9241 9242 +3 9243 9244 9245 +3 9246 9247 9248 +3 9249 9250 9251 +3 9252 9253 9254 +3 9255 9256 9257 +3 9258 9259 9260 +3 9261 9262 9263 +3 9264 9265 9266 +3 9267 9268 9269 +3 9270 9271 9272 +3 9273 9274 9275 +3 9276 9277 9278 +3 9279 9280 9281 +3 9282 9283 9284 +3 9285 9286 9287 +3 9288 9289 9290 +3 9291 9292 9293 +3 9294 9295 9296 +3 9297 9298 9299 +3 9300 9301 9302 +3 9303 9304 9305 +3 9306 9307 9308 +3 9309 9310 9311 +3 9312 9313 9314 +3 9315 9316 9317 +3 9318 9319 9320 +3 9321 9322 9323 +3 9324 9325 9326 +3 9327 9328 9329 +3 9330 9331 9332 +3 9333 9334 9335 +3 9336 9337 9338 +3 9339 9340 9341 +3 9342 9343 9344 +3 9345 9346 9347 +3 9348 9349 9350 +3 9351 9352 9353 +3 9354 9355 9356 +3 9357 9358 9359 +3 9360 9361 9362 +3 9363 9364 9365 +3 9366 9367 9368 +3 9369 9370 9371 +3 9372 9373 9374 +3 9375 9376 9377 +3 9378 9379 9380 +3 9381 9382 9383 +3 9384 9385 9386 +3 9387 9388 9389 +3 9390 9391 9392 +3 9393 9394 9395 +3 9396 9397 9398 +3 9399 9400 9401 +3 9402 9403 9404 +3 9405 9406 9407 +3 9408 9409 9410 +3 9411 9412 9413 +3 9414 9415 9416 +3 9417 9418 9419 +3 9420 9421 9422 +3 9423 9424 9425 +3 9426 9427 9428 +3 9429 9430 9431 +3 9432 9433 9434 +3 9435 9436 9437 +3 9438 9439 9440 +3 9441 9442 9443 +3 9444 9445 9446 +3 9447 9448 9449 +3 9450 9451 9452 +3 9453 9454 9455 +3 9456 9457 9458 +3 9459 9460 9461 +3 9462 9463 9464 +3 9465 9466 9467 +3 9468 9469 9470 +3 9471 9472 9473 +3 9474 9475 9476 +3 9477 9478 9479 +3 9480 9481 9482 +3 9483 9484 9485 +3 9486 9487 9488 +3 9489 9490 9491 +3 9492 9493 9494 +3 9495 9496 9497 +3 9498 9499 9500 +3 9501 9502 9503 +3 9504 9505 9506 +3 9507 9508 9509 +3 9510 9511 9512 +3 9513 9514 9515 +3 9516 9517 9518 +3 9519 9520 9521 +3 9522 9523 9524 +3 9525 9526 9527 +3 9528 9529 9530 +3 9531 9532 9533 +3 9534 9535 9536 +3 9537 9538 9539 +3 9540 9541 9542 +3 9543 9544 9545 +3 9546 9547 9548 +3 9549 9550 9551 +3 9552 9553 9554 +3 9555 9556 9557 +3 9558 9559 9560 +3 9561 9562 9563 +3 9564 9565 9566 +3 9567 9568 9569 +3 9570 9571 9572 +3 9573 9574 9575 +3 9576 9577 9578 +3 9579 9580 9581 +3 9582 9583 9584 +3 9585 9586 9587 +3 9588 9589 9590 +3 9591 9592 9593 +3 9594 9595 9596 +3 9597 9598 9599 +3 9600 9601 9602 +3 9603 9604 9605 +3 9606 9607 9608 +3 9609 9610 9611 +3 9612 9613 9614 +3 9615 9616 9617 +3 9618 9619 9620 +3 9621 9622 9623 +3 9624 9625 9626 +3 9627 9628 9629 +3 9630 9631 9632 +3 9633 9634 9635 +3 9636 9637 9638 +3 9639 9640 9641 +3 9642 9643 9644 +3 9645 9646 9647 +3 9648 9649 9650 +3 9651 9652 9653 +3 9654 9655 9656 +3 9657 9658 9659 +3 9660 9661 9662 +3 9663 9664 9665 +3 9666 9667 9668 +3 9669 9670 9671 +3 9672 9673 9674 +3 9675 9676 9677 +3 9678 9679 9680 +3 9681 9682 9683 +3 9684 9685 9686 +3 9687 9688 9689 +3 9690 9691 9692 +3 9693 9694 9695 +3 9696 9697 9698 +3 9699 9700 9701 +3 9702 9703 9704 +3 9705 9706 9707 +3 9708 9709 9710 +3 9711 9712 9713 +3 9714 9715 9716 +3 9717 9718 9719 +3 9720 9721 9722 +3 9723 9724 9725 +3 9726 9727 9728 +3 9729 9730 9731 +3 9732 9733 9734 +3 9735 9736 9737 +3 9738 9739 9740 +3 9741 9742 9743 +3 9744 9745 9746 +3 9747 9748 9749 +3 9750 9751 9752 +3 9753 9754 9755 +3 9756 9757 9758 +3 9759 9760 9761 +3 9762 9763 9764 +3 9765 9766 9767 +3 9768 9769 9770 +3 9771 9772 9773 +3 9774 9775 9776 +3 9777 9778 9779 +3 9780 9781 9782 +3 9783 9784 9785 +3 9786 9787 9788 +3 9789 9790 9791 +3 9792 9793 9794 +3 9795 9796 9797 +3 9798 9799 9800 +3 9801 9802 9803 +3 9804 9805 9806 +3 9807 9808 9809 +3 9810 9811 9812 +3 9813 9814 9815 +3 9816 9817 9818 +3 9819 9820 9821 +3 9822 9823 9824 +3 9825 9826 9827 +3 9828 9829 9830 +3 9831 9832 9833 +3 9834 9835 9836 +3 9837 9838 9839 +3 9840 9841 9842 +3 9843 9844 9845 +3 9846 9847 9848 +3 9849 9850 9851 +3 9852 9853 9854 +3 9855 9856 9857 +3 9858 9859 9860 +3 9861 9862 9863 +3 9864 9865 9866 +3 9867 9868 9869 +3 9870 9871 9872 +3 9873 9874 9875 +3 9876 9877 9878 +3 9879 9880 9881 +3 9882 9883 9884 +3 9885 9886 9887 +3 9888 9889 9890 +3 9891 9892 9893 +3 9894 9895 9896 +3 9897 9898 9899 +3 9900 9901 9902 +3 9903 9904 9905 +3 9906 9907 9908 +3 9909 9910 9911 +3 9912 9913 9914 +3 9915 9916 9917 +3 9918 9919 9920 +3 9921 9922 9923 +3 9924 9925 9926 +3 9927 9928 9929 +3 9930 9931 9932 +3 9933 9934 9935 +3 9936 9937 9938 +3 9939 9940 9941 +3 9942 9943 9944 +3 9945 9946 9947 +3 9948 9949 9950 +3 9951 9952 9953 +3 9954 9955 9956 +3 9957 9958 9959 +3 9960 9961 9962 +3 9963 9964 9965 +3 9966 9967 9968 +3 9969 9970 9971 +3 9972 9973 9974 +3 9975 9976 9977 +3 9978 9979 9980 +3 9981 9982 9983 +3 9984 9985 9986 +3 9987 9988 9989 +3 9990 9991 9992 +3 9993 9994 9995 +3 9996 9997 9998 +3 9999 10000 10001 +3 10002 10003 10004 +3 10005 10006 10007 +3 10008 10009 10010 +3 10011 10012 10013 +3 10014 10015 10016 +3 10017 10018 10019 +3 10020 10021 10022 +3 10023 10024 10025 +3 10026 10027 10028 +3 10029 10030 10031 +3 10032 10033 10034 +3 10035 10036 10037 +3 10038 10039 10040 +3 10041 10042 10043 +3 10044 10045 10046 +3 10047 10048 10049 +3 10050 10051 10052 +3 10053 10054 10055 +3 10056 10057 10058 +3 10059 10060 10061 +3 10062 10063 10064 +3 10065 10066 10067 +3 10068 10069 10070 +3 10071 10072 10073 +3 10074 10075 10076 +3 10077 10078 10079 +3 10080 10081 10082 +3 10083 10084 10085 +3 10086 10087 10088 +3 10089 10090 10091 +3 10092 10093 10094 +3 10095 10096 10097 +3 10098 10099 10100 +3 10101 10102 10103 +3 10104 10105 10106 +3 10107 10108 10109 +3 10110 10111 10112 +3 10113 10114 10115 +3 10116 10117 10118 +3 10119 10120 10121 +3 10122 10123 10124 +3 10125 10126 10127 +3 10128 10129 10130 +3 10131 10132 10133 +3 10134 10135 10136 +3 10137 10138 10139 +3 10140 10141 10142 +3 10143 10144 10145 +3 10146 10147 10148 +3 10149 10150 10151 +3 10152 10153 10154 +3 10155 10156 10157 +3 10158 10159 10160 +3 10161 10162 10163 +3 10164 10165 10166 +3 10167 10168 10169 +3 10170 10171 10172 +3 10173 10174 10175 +3 10176 10177 10178 +3 10179 10180 10181 +3 10182 10183 10184 +3 10185 10186 10187 +3 10188 10189 10190 +3 10191 10192 10193 +3 10194 10195 10196 +3 10197 10198 10199 +3 10200 10201 10202 +3 10203 10204 10205 +3 10206 10207 10208 +3 10209 10210 10211 +3 10212 10213 10214 +3 10215 10216 10217 +3 10218 10219 10220 +3 10221 10222 10223 +3 10224 10225 10226 +3 10227 10228 10229 +3 10230 10231 10232 +3 10233 10234 10235 +3 10236 10237 10238 +3 10239 10240 10241 +3 10242 10243 10244 +3 10245 10246 10247 +3 10248 10249 10250 +3 10251 10252 10253 +3 10254 10255 10256 +3 10257 10258 10259 +3 10260 10261 10262 +3 10263 10264 10265 +3 10266 10267 10268 +3 10269 10270 10271 +3 10272 10273 10274 +3 10275 10276 10277 +3 10278 10279 10280 +3 10281 10282 10283 +3 10284 10285 10286 +3 10287 10288 10289 +3 10290 10291 10292 +3 10293 10294 10295 +3 10296 10297 10298 +3 10299 10300 10301 +3 10302 10303 10304 +3 10305 10306 10307 +3 10308 10309 10310 +3 10311 10312 10313 +3 10314 10315 10316 +3 10317 10318 10319 +3 10320 10321 10322 +3 10323 10324 10325 +3 10326 10327 10328 +3 10329 10330 10331 +3 10332 10333 10334 +3 10335 10336 10337 +3 10338 10339 10340 +3 10341 10342 10343 +3 10344 10345 10346 +3 10347 10348 10349 +3 10350 10351 10352 +3 10353 10354 10355 +3 10356 10357 10358 +3 10359 10360 10361 +3 10362 10363 10364 +3 10365 10366 10367 +3 10368 10369 10370 +3 10371 10372 10373 +3 10374 10375 10376 +3 10377 10378 10379 +3 10380 10381 10382 +3 10383 10384 10385 +3 10386 10387 10388 +3 10389 10390 10391 +3 10392 10393 10394 +3 10395 10396 10397 +3 10398 10399 10400 +3 10401 10402 10403 +3 10404 10405 10406 +3 10407 10408 10409 +3 10410 10411 10412 +3 10413 10414 10415 +3 10416 10417 10418 +3 10419 10420 10421 +3 10422 10423 10424 +3 10425 10426 10427 +3 10428 10429 10430 +3 10431 10432 10433 +3 10434 10435 10436 +3 10437 10438 10439 +3 10440 10441 10442 +3 10443 10444 10445 +3 10446 10447 10448 +3 10449 10450 10451 +3 10452 10453 10454 +3 10455 10456 10457 +3 10458 10459 10460 +3 10461 10462 10463 +3 10464 10465 10466 +3 10467 10468 10469 +3 10470 10471 10472 +3 10473 10474 10475 +3 10476 10477 10478 +3 10479 10480 10481 +3 10482 10483 10484 +3 10485 10486 10487 +3 10488 10489 10490 +3 10491 10492 10493 +3 10494 10495 10496 +3 10497 10498 10499 +3 10500 10501 10502 +3 10503 10504 10505 +3 10506 10507 10508 +3 10509 10510 10511 +3 10512 10513 10514 +3 10515 10516 10517 +3 10518 10519 10520 +3 10521 10522 10523 +3 10524 10525 10526 +3 10527 10528 10529 +3 10530 10531 10532 +3 10533 10534 10535 +3 10536 10537 10538 +3 10539 10540 10541 +3 10542 10543 10544 +3 10545 10546 10547 +3 10548 10549 10550 +3 10551 10552 10553 +3 10554 10555 10556 +3 10557 10558 10559 +3 10560 10561 10562 +3 10563 10564 10565 +3 10566 10567 10568 +3 10569 10570 10571 +3 10572 10573 10574 +3 10575 10576 10577 +3 10578 10579 10580 +3 10581 10582 10583 +3 10584 10585 10586 +3 10587 10588 10589 +3 10590 10591 10592 +3 10593 10594 10595 +3 10596 10597 10598 +3 10599 10600 10601 +3 10602 10603 10604 +3 10605 10606 10607 +3 10608 10609 10610 +3 10611 10612 10613 +3 10614 10615 10616 +3 10617 10618 10619 +3 10620 10621 10622 +3 10623 10624 10625 +3 10626 10627 10628 +3 10629 10630 10631 +3 10632 10633 10634 +3 10635 10636 10637 +3 10638 10639 10640 +3 10641 10642 10643 +3 10644 10645 10646 +3 10647 10648 10649 +3 10650 10651 10652 +3 10653 10654 10655 +3 10656 10657 10658 +3 10659 10660 10661 +3 10662 10663 10664 +3 10665 10666 10667 +3 10668 10669 10670 +3 10671 10672 10673 +3 10674 10675 10676 +3 10677 10678 10679 +3 10680 10681 10682 +3 10683 10684 10685 +3 10686 10687 10688 +3 10689 10690 10691 +3 10692 10693 10694 +3 10695 10696 10697 +3 10698 10699 10700 +3 10701 10702 10703 +3 10704 10705 10706 +3 10707 10708 10709 +3 10710 10711 10712 +3 10713 10714 10715 +3 10716 10717 10718 +3 10719 10720 10721 +3 10722 10723 10724 +3 10725 10726 10727 +3 10728 10729 10730 +3 10731 10732 10733 +3 10734 10735 10736 +3 10737 10738 10739 +3 10740 10741 10742 +3 10743 10744 10745 +3 10746 10747 10748 +3 10749 10750 10751 +3 10752 10753 10754 +3 10755 10756 10757 +3 10758 10759 10760 +3 10761 10762 10763 +3 10764 10765 10766 +3 10767 10768 10769 +3 10770 10771 10772 +3 10773 10774 10775 +3 10776 10777 10778 +3 10779 10780 10781 +3 10782 10783 10784 +3 10785 10786 10787 +3 10788 10789 10790 +3 10791 10792 10793 +3 10794 10795 10796 +3 10797 10798 10799 +3 10800 10801 10802 +3 10803 10804 10805 +3 10806 10807 10808 +3 10809 10810 10811 +3 10812 10813 10814 +3 10815 10816 10817 +3 10818 10819 10820 +3 10821 10822 10823 +3 10824 10825 10826 +3 10827 10828 10829 +3 10830 10831 10832 +3 10833 10834 10835 +3 10836 10837 10838 +3 10839 10840 10841 +3 10842 10843 10844 +3 10845 10846 10847 +3 10848 10849 10850 +3 10851 10852 10853 +3 10854 10855 10856 +3 10857 10858 10859 +3 10860 10861 10862 +3 10863 10864 10865 +3 10866 10867 10868 +3 10869 10870 10871 +3 10872 10873 10874 +3 10875 10876 10877 +3 10878 10879 10880 +3 10881 10882 10883 +3 10884 10885 10886 +3 10887 10888 10889 +3 10890 10891 10892 +3 10893 10894 10895 +3 10896 10897 10898 +3 10899 10900 10901 +3 10902 10903 10904 +3 10905 10906 10907 +3 10908 10909 10910 +3 10911 10912 10913 +3 10914 10915 10916 +3 10917 10918 10919 +3 10920 10921 10922 +3 10923 10924 10925 +3 10926 10927 10928 +3 10929 10930 10931 +3 10932 10933 10934 +3 10935 10936 10937 +3 10938 10939 10940 +3 10941 10942 10943 +3 10944 10945 10946 +3 10947 10948 10949 +3 10950 10951 10952 +3 10953 10954 10955 +3 10956 10957 10958 +3 10959 10960 10961 +3 10962 10963 10964 +3 10965 10966 10967 +3 10968 10969 10970 +3 10971 10972 10973 +3 10974 10975 10976 +3 10977 10978 10979 +3 10980 10981 10982 +3 10983 10984 10985 +3 10986 10987 10988 +3 10989 10990 10991 +3 10992 10993 10994 +3 10995 10996 10997 +3 10998 10999 11000 +3 11001 11002 11003 +3 11004 11005 11006 +3 11007 11008 11009 +3 11010 11011 11012 +3 11013 11014 11015 +3 11016 11017 11018 +3 11019 11020 11021 +3 11022 11023 11024 +3 11025 11026 11027 +3 11028 11029 11030 +3 11031 11032 11033 +3 11034 11035 11036 +3 11037 11038 11039 +3 11040 11041 11042 +3 11043 11044 11045 +3 11046 11047 11048 +3 11049 11050 11051 +3 11052 11053 11054 +3 11055 11056 11057 +3 11058 11059 11060 +3 11061 11062 11063 +3 11064 11065 11066 +3 11067 11068 11069 +3 11070 11071 11072 +3 11073 11074 11075 +3 11076 11077 11078 +3 11079 11080 11081 +3 11082 11083 11084 +3 11085 11086 11087 +3 11088 11089 11090 +3 11091 11092 11093 +3 11094 11095 11096 +3 11097 11098 11099 +3 11100 11101 11102 +3 11103 11104 11105 +3 11106 11107 11108 +3 11109 11110 11111 +3 11112 11113 11114 +3 11115 11116 11117 +3 11118 11119 11120 +3 11121 11122 11123 +3 11124 11125 11126 +3 11127 11128 11129 +3 11130 11131 11132 +3 11133 11134 11135 +3 11136 11137 11138 +3 11139 11140 11141 +3 11142 11143 11144 +3 11145 11146 11147 +3 11148 11149 11150 +3 11151 11152 11153 +3 11154 11155 11156 +3 11157 11158 11159 +3 11160 11161 11162 +3 11163 11164 11165 +3 11166 11167 11168 +3 11169 11170 11171 +3 11172 11173 11174 +3 11175 11176 11177 +3 11178 11179 11180 +3 11181 11182 11183 diff --git a/examples/DDCAD/ref/Ref_BHV_Boxing_Toes.txt b/examples/DDCAD/ref/Ref_BHV_Boxing_Toes.txt new file mode 100644 index 000000000..a25edb1e0 --- /dev/null +++ b/examples/DDCAD/ref/Ref_BHV_Boxing_Toes.txt @@ -0,0 +1,140 @@ +ShapeCheck[0] TGeoTessellated 137 Mesh-points: +TGeoTessellated CAD_Shape N(mesh)=137 N(vert)=137 N(seg)=420 N(pols)=140 +TGeoTessellated 0 Local ( 0.00, 0.00, 0.83) Global ( 0.00, 0.00, 0.83) +TGeoTessellated 1 Local ( 0.00, 8.27, -0.00) Global ( 0.00, 8.27, -0.00) +TGeoTessellated 2 Local ( -0.83, 0.00, 0.00) Global ( -0.83, 0.00, 0.00) +TGeoTessellated 3 Local ( 0.00, 0.00, -0.83) Global ( 0.00, 0.00, -0.83) +TGeoTessellated 4 Local ( 0.83, 0.00, 0.00) Global ( 0.83, 0.00, 0.00) +TGeoTessellated 5 Local ( 0.00, 0.00, -1.20) Global ( 0.00, 0.00, -1.20) +TGeoTessellated 6 Local ( 12.00, 0.00, 0.00) Global ( 12.00, 0.00, 0.00) +TGeoTessellated 7 Local ( 0.00, -1.20, 0.00) Global ( 0.00, -1.20, 0.00) +TGeoTessellated 8 Local ( 0.00, 0.00, 1.20) Global ( 0.00, 0.00, 1.20) +TGeoTessellated 9 Local ( 0.00, 1.20, 0.00) Global ( 0.00, 1.20, 0.00) +TGeoTessellated 10 Local ( -12.00, 0.00, 0.00) Global ( -12.00, 0.00, 0.00) +TGeoTessellated 11 Local ( 0.00, 8.27, 2.24) Global ( 0.00, 8.27, 2.24) +TGeoTessellated 12 Local ( -0.00, 30.69, -0.00) Global ( -0.00, 30.69, -0.00) +TGeoTessellated 13 Local ( -2.24, 8.27, 0.00) Global ( -2.24, 8.27, 0.00) +TGeoTessellated 14 Local ( 0.00, 8.27, -2.24) Global ( 0.00, 8.27, -2.24) +TGeoTessellated 15 Local ( 2.24, 8.27, 0.00) Global ( 2.24, 8.27, 0.00) +TGeoTessellated 16 Local ( 0.00, 30.69, 2.24) Global ( 0.00, 30.69, 2.24) +TGeoTessellated 17 Local ( 0.00, 53.10, 0.00) Global ( 0.00, 53.10, 0.00) +TGeoTessellated 18 Local ( -2.24, 30.69, 0.00) Global ( -2.24, 30.69, 0.00) +TGeoTessellated 19 Local ( 0.00, 30.69, -2.24) Global ( 0.00, 30.69, -2.24) +TGeoTessellated 20 Local ( 2.24, 30.69, 0.00) Global ( 2.24, 30.69, 0.00) +TGeoTessellated 21 Local ( 0.00, 53.10, 1.10) Global ( 0.00, 53.10, 1.10) +TGeoTessellated 22 Local ( 0.00, 64.10, 0.00) Global ( 0.00, 64.10, 0.00) +TGeoTessellated 23 Local ( -1.10, 53.10, 0.00) Global ( -1.10, 53.10, 0.00) +TGeoTessellated 24 Local ( 0.00, 53.10, -1.10) Global ( 0.00, 53.10, -1.10) +TGeoTessellated 25 Local ( 1.10, 53.10, 0.00) Global ( 1.10, 53.10, 0.00) +TGeoTessellated 26 Local ( 0.00, 64.10, 1.70) Global ( 0.00, 64.10, 1.70) +TGeoTessellated 27 Local ( 0.00, 81.10, 0.00) Global ( 0.00, 81.10, 0.00) +TGeoTessellated 28 Local ( -1.70, 64.10, 0.00) Global ( -1.70, 64.10, 0.00) +TGeoTessellated 29 Local ( 0.00, 64.10, -1.70) Global ( 0.00, 64.10, -1.70) +TGeoTessellated 30 Local ( 1.70, 64.10, 0.00) Global ( 1.70, 64.10, 0.00) +TGeoTessellated 31 Local ( -3.06, 81.10, 0.00) Global ( -3.06, 81.10, 0.00) +TGeoTessellated 32 Local ( 0.00, 84.16, 0.00) Global ( 0.00, 84.16, 0.00) +TGeoTessellated 33 Local ( 0.00, 81.10, -3.06) Global ( 0.00, 81.10, -3.06) +TGeoTessellated 34 Local ( 3.06, 81.10, 0.00) Global ( 3.06, 81.10, 0.00) +TGeoTessellated 35 Local ( 0.00, 78.04, 0.00) Global ( 0.00, 78.04, 0.00) +TGeoTessellated 36 Local ( 0.00, 81.10, 3.06) Global ( 0.00, 81.10, 3.06) +TGeoTessellated 37 Local ( 0.00, 53.10, -2.00) Global ( 0.00, 53.10, -2.00) +TGeoTessellated 38 Local ( 20.00, 53.10, 0.00) Global ( 20.00, 53.10, 0.00) +TGeoTessellated 39 Local ( 0.00, 51.10, 0.00) Global ( 0.00, 51.10, 0.00) +TGeoTessellated 40 Local ( 0.00, 53.10, 2.00) Global ( 0.00, 53.10, 2.00) +TGeoTessellated 41 Local ( 0.00, 55.10, 0.00) Global ( 0.00, 55.10, 0.00) +TGeoTessellated 42 Local ( 20.00, 53.10, -2.56) Global ( 20.00, 53.10, -2.56) +TGeoTessellated 43 Local ( 45.59, 53.10, 0.00) Global ( 45.59, 53.10, 0.00) +TGeoTessellated 44 Local ( 20.00, 50.54, -0.00) Global ( 20.00, 50.54, -0.00) +TGeoTessellated 45 Local ( 20.00, 53.10, 2.56) Global ( 20.00, 53.10, 2.56) +TGeoTessellated 46 Local ( 20.00, 55.66, 0.00) Global ( 20.00, 55.66, 0.00) +TGeoTessellated 47 Local ( 45.59, 53.10, -2.35) Global ( 45.59, 53.10, -2.35) +TGeoTessellated 48 Local ( 69.04, 53.10, 0.00) Global ( 69.04, 53.10, 0.00) +TGeoTessellated 49 Local ( 45.59, 50.76, -0.00) Global ( 45.59, 50.76, -0.00) +TGeoTessellated 50 Local ( 45.59, 53.10, 2.35) Global ( 45.59, 53.10, 2.35) +TGeoTessellated 51 Local ( 45.59, 55.45, 0.00) Global ( 45.59, 55.45, 0.00) +TGeoTessellated 52 Local ( 69.04, 53.10, -1.50) Global ( 69.04, 53.10, -1.50) +TGeoTessellated 53 Local ( 84.04, 53.10, 0.00) Global ( 84.04, 53.10, 0.00) +TGeoTessellated 54 Local ( 69.04, 51.60, -0.00) Global ( 69.04, 51.60, -0.00) +TGeoTessellated 55 Local ( 69.04, 53.10, 1.50) Global ( 69.04, 53.10, 1.50) +TGeoTessellated 56 Local ( 69.04, 54.60, 0.00) Global ( 69.04, 54.60, 0.00) +TGeoTessellated 57 Local ( 81.34, 53.10, 0.00) Global ( 81.34, 53.10, 0.00) +TGeoTessellated 58 Local ( 84.04, 55.80, 0.00) Global ( 84.04, 55.80, 0.00) +TGeoTessellated 59 Local ( 84.04, 53.10, -2.70) Global ( 84.04, 53.10, -2.70) +TGeoTessellated 60 Local ( 86.74, 53.10, 0.00) Global ( 86.74, 53.10, 0.00) +TGeoTessellated 61 Local ( 84.04, 50.40, 0.00) Global ( 84.04, 50.40, 0.00) +TGeoTessellated 62 Local ( 84.04, 53.10, 2.70) Global ( 84.04, 53.10, 2.70) +TGeoTessellated 63 Local ( -20.00, 53.10, 0.00) Global ( -20.00, 53.10, 0.00) +TGeoTessellated 64 Local ( -20.00, 53.10, 2.56) Global ( -20.00, 53.10, 2.56) +TGeoTessellated 65 Local ( -45.59, 53.10, 0.00) Global ( -45.59, 53.10, 0.00) +TGeoTessellated 66 Local ( -20.00, 50.54, 0.00) Global ( -20.00, 50.54, 0.00) +TGeoTessellated 67 Local ( -20.00, 53.10, -2.56) Global ( -20.00, 53.10, -2.56) +TGeoTessellated 68 Local ( -20.00, 55.66, 0.00) Global ( -20.00, 55.66, 0.00) +TGeoTessellated 69 Local ( -45.59, 53.10, 2.35) Global ( -45.59, 53.10, 2.35) +TGeoTessellated 70 Local ( -69.04, 53.10, 0.00) Global ( -69.04, 53.10, 0.00) +TGeoTessellated 71 Local ( -45.59, 50.76, 0.00) Global ( -45.59, 50.76, 0.00) +TGeoTessellated 72 Local ( -45.59, 53.10, -2.35) Global ( -45.59, 53.10, -2.35) +TGeoTessellated 73 Local ( -45.59, 55.45, 0.00) Global ( -45.59, 55.45, 0.00) +TGeoTessellated 74 Local ( -69.04, 53.10, 1.50) Global ( -69.04, 53.10, 1.50) +TGeoTessellated 75 Local ( -84.04, 53.10, 0.00) Global ( -84.04, 53.10, 0.00) +TGeoTessellated 76 Local ( -69.04, 51.60, 0.00) Global ( -69.04, 51.60, 0.00) +TGeoTessellated 77 Local ( -69.04, 53.10, -1.50) Global ( -69.04, 53.10, -1.50) +TGeoTessellated 78 Local ( -69.04, 54.60, 0.00) Global ( -69.04, 54.60, 0.00) +TGeoTessellated 79 Local ( -86.74, 53.10, 0.00) Global ( -86.74, 53.10, 0.00) +TGeoTessellated 80 Local ( -84.04, 55.80, 0.00) Global ( -84.04, 55.80, 0.00) +TGeoTessellated 81 Local ( -84.04, 53.10, -2.70) Global ( -84.04, 53.10, -2.70) +TGeoTessellated 82 Local ( -81.34, 53.10, 0.00) Global ( -81.34, 53.10, 0.00) +TGeoTessellated 83 Local ( -84.04, 50.40, 0.00) Global ( -84.04, 50.40, 0.00) +TGeoTessellated 84 Local ( -84.04, 53.10, 2.70) Global ( -84.04, 53.10, 2.70) +TGeoTessellated 85 Local ( 12.00, 0.00, -4.22) Global ( 12.00, 0.00, -4.22) +TGeoTessellated 86 Local ( 12.00, -42.22, 0.00) Global ( 12.00, -42.22, 0.00) +TGeoTessellated 87 Local ( 7.78, 0.00, 0.00) Global ( 7.78, 0.00, 0.00) +TGeoTessellated 88 Local ( 12.00, 0.00, 4.22) Global ( 12.00, 0.00, 4.22) +TGeoTessellated 89 Local ( 16.22, 0.00, 0.00) Global ( 16.22, 0.00, 0.00) +TGeoTessellated 90 Local ( 12.00, -42.22, -4.34) Global ( 12.00, -42.22, -4.34) +TGeoTessellated 91 Local ( 12.00, -85.65, 0.00) Global ( 12.00, -85.65, 0.00) +TGeoTessellated 92 Local ( 7.66, -42.22, 0.00) Global ( 7.66, -42.22, 0.00) +TGeoTessellated 93 Local ( 12.00, -42.22, 4.34) Global ( 12.00, -42.22, 4.34) +TGeoTessellated 94 Local ( 16.34, -42.22, 0.00) Global ( 16.34, -42.22, 0.00) +TGeoTessellated 95 Local ( 12.00, -87.15, -0.65) Global ( 12.00, -87.15, -0.65) +TGeoTessellated 96 Local ( 12.00, -92.15, 15.00) Global ( 12.00, -92.15, 15.00) +TGeoTessellated 97 Local ( 10.37, -85.65, 0.00) Global ( 10.37, -85.65, 0.00) +TGeoTessellated 98 Local ( 12.00, -84.15, 0.65) Global ( 12.00, -84.15, 0.65) +TGeoTessellated 99 Local ( 13.63, -85.65, 0.00) Global ( 13.63, -85.65, 0.00) +TGeoTessellated 100 Local ( 12.00, -93.15, 15.00) Global ( 12.00, -93.15, 15.00) +TGeoTessellated 101 Local ( 12.00, -92.15, 25.00) Global ( 12.00, -92.15, 25.00) +TGeoTessellated 102 Local ( 11.00, -92.15, 15.00) Global ( 11.00, -92.15, 15.00) +TGeoTessellated 103 Local ( 12.00, -91.15, 15.00) Global ( 12.00, -91.15, 15.00) +TGeoTessellated 104 Local ( 13.00, -92.15, 15.00) Global ( 13.00, -92.15, 15.00) +TGeoTessellated 105 Local ( 10.20, -92.15, 25.00) Global ( 10.20, -92.15, 25.00) +TGeoTessellated 106 Local ( 12.00, -90.35, 25.00) Global ( 12.00, -90.35, 25.00) +TGeoTessellated 107 Local ( 12.00, -92.15, 23.20) Global ( 12.00, -92.15, 23.20) +TGeoTessellated 108 Local ( 13.80, -92.15, 25.00) Global ( 13.80, -92.15, 25.00) +TGeoTessellated 109 Local ( 12.00, -93.95, 25.00) Global ( 12.00, -93.95, 25.00) +TGeoTessellated 110 Local ( 12.00, -92.15, 26.80) Global ( 12.00, -92.15, 26.80) +TGeoTessellated 111 Local ( -12.00, 0.00, -4.22) Global ( -12.00, 0.00, -4.22) +TGeoTessellated 112 Local ( -12.00, -42.22, 0.00) Global ( -12.00, -42.22, 0.00) +TGeoTessellated 113 Local ( -16.22, 0.00, 0.00) Global ( -16.22, 0.00, 0.00) +TGeoTessellated 114 Local ( -12.00, 0.00, 4.22) Global ( -12.00, 0.00, 4.22) +TGeoTessellated 115 Local ( -7.78, 0.00, 0.00) Global ( -7.78, 0.00, 0.00) +TGeoTessellated 116 Local ( -12.00, -42.22, -4.34) Global ( -12.00, -42.22, -4.34) +TGeoTessellated 117 Local ( -12.00, -85.65, 0.00) Global ( -12.00, -85.65, 0.00) +TGeoTessellated 118 Local ( -16.34, -42.22, 0.00) Global ( -16.34, -42.22, 0.00) +TGeoTessellated 119 Local ( -12.00, -42.22, 4.34) Global ( -12.00, -42.22, 4.34) +TGeoTessellated 120 Local ( -7.66, -42.22, 0.00) Global ( -7.66, -42.22, 0.00) +TGeoTessellated 121 Local ( -12.00, -87.15, -0.65) Global ( -12.00, -87.15, -0.65) +TGeoTessellated 122 Local ( -12.00, -92.15, 15.00) Global ( -12.00, -92.15, 15.00) +TGeoTessellated 123 Local ( -13.63, -85.65, 0.00) Global ( -13.63, -85.65, 0.00) +TGeoTessellated 124 Local ( -12.00, -84.15, 0.65) Global ( -12.00, -84.15, 0.65) +TGeoTessellated 125 Local ( -10.37, -85.65, 0.00) Global ( -10.37, -85.65, 0.00) +TGeoTessellated 126 Local ( -12.00, -93.15, 15.00) Global ( -12.00, -93.15, 15.00) +TGeoTessellated 127 Local ( -12.00, -92.15, 25.00) Global ( -12.00, -92.15, 25.00) +TGeoTessellated 128 Local ( -13.00, -92.15, 15.00) Global ( -13.00, -92.15, 15.00) +TGeoTessellated 129 Local ( -12.00, -91.15, 15.00) Global ( -12.00, -91.15, 15.00) +TGeoTessellated 130 Local ( -11.00, -92.15, 15.00) Global ( -11.00, -92.15, 15.00) +TGeoTessellated 131 Local ( -13.80, -92.15, 25.00) Global ( -13.80, -92.15, 25.00) +TGeoTessellated 132 Local ( -12.00, -90.35, 25.00) Global ( -12.00, -90.35, 25.00) +TGeoTessellated 133 Local ( -12.00, -92.15, 23.20) Global ( -12.00, -92.15, 23.20) +TGeoTessellated 134 Local ( -10.20, -92.15, 25.00) Global ( -10.20, -92.15, 25.00) +TGeoTessellated 135 Local ( -12.00, -93.95, 25.00) Global ( -12.00, -93.95, 25.00) +TGeoTessellated 136 Local ( -12.00, -92.15, 26.80) Global ( -12.00, -92.15, 26.80) +TGeoTessellated Bounding box: dx= 86.74 dy= 89.06 dz= 15.57 Origin: x= 0.00 y= -4.90 z= 11.23 diff --git a/examples/DDCAD/ref/Ref_BLEND_HUMAN.txt b/examples/DDCAD/ref/Ref_BLEND_HUMAN.txt new file mode 100644 index 000000000..73ab6cdef --- /dev/null +++ b/examples/DDCAD/ref/Ref_BLEND_HUMAN.txt @@ -0,0 +1,4420 @@ +ShapeCheck[0] TGeoTessellated 2207 Mesh-points: +TGeoTessellated CAD_Shape N(mesh)=2207 N(vert)=2207 N(seg)=12840 N(pols)=4280 +TGeoTessellated 0 Local ( 0.86, -0.46, 1.36) Global ( 0.86, -0.46, 1.36) +TGeoTessellated 1 Local ( 0.82, -0.52, 1.35) Global ( 0.82, -0.52, 1.35) +TGeoTessellated 2 Local ( 0.84, -0.50, 0.98) Global ( 0.84, -0.50, 0.98) +TGeoTessellated 3 Local ( 0.89, -0.45, 1.00) Global ( 0.89, -0.45, 1.00) +TGeoTessellated 4 Local ( 0.92, -0.38, 1.03) Global ( 0.92, -0.38, 1.03) +TGeoTessellated 5 Local ( 0.90, -0.38, 1.38) Global ( 0.90, -0.38, 1.38) +TGeoTessellated 6 Local ( 0.89, -0.37, 1.72) Global ( 0.89, -0.37, 1.72) +TGeoTessellated 7 Local ( 0.86, -0.45, 1.72) Global ( 0.86, -0.45, 1.72) +TGeoTessellated 8 Local ( 0.81, -0.51, 1.71) Global ( 0.81, -0.51, 1.71) +TGeoTessellated 9 Local ( 0.76, -0.56, 1.34) Global ( 0.76, -0.56, 1.34) +TGeoTessellated 10 Local ( 0.78, -0.55, 0.95) Global ( 0.78, -0.55, 0.95) +TGeoTessellated 11 Local ( 0.76, -0.56, 1.71) Global ( 0.76, -0.56, 1.71) +TGeoTessellated 12 Local ( 0.69, -0.61, 1.71) Global ( 0.69, -0.61, 1.71) +TGeoTessellated 13 Local ( 0.69, -0.60, 1.32) Global ( 0.69, -0.60, 1.32) +TGeoTessellated 14 Local ( 0.71, -0.59, 0.93) Global ( 0.71, -0.59, 0.93) +TGeoTessellated 15 Local ( 0.81, -0.52, 0.60) Global ( 0.81, -0.52, 0.60) +TGeoTessellated 16 Local ( 0.87, -0.48, 0.63) Global ( 0.87, -0.48, 0.63) +TGeoTessellated 17 Local ( 0.73, -0.56, 0.56) Global ( 0.73, -0.56, 0.56) +TGeoTessellated 18 Local ( 0.75, -0.52, 0.26) Global ( 0.75, -0.52, 0.26) +TGeoTessellated 19 Local ( 0.83, -0.48, 0.30) Global ( 0.83, -0.48, 0.30) +TGeoTessellated 20 Local ( 0.90, -0.44, 0.34) Global ( 0.90, -0.44, 0.34) +TGeoTessellated 21 Local ( 0.92, -0.42, 0.67) Global ( 0.92, -0.42, 0.67) +TGeoTessellated 22 Local ( 0.95, -0.39, 0.39) Global ( 0.95, -0.39, 0.39) +TGeoTessellated 23 Local ( 0.99, -0.31, 0.44) Global ( 0.99, -0.31, 0.44) +TGeoTessellated 24 Local ( 0.96, -0.35, 0.71) Global ( 0.96, -0.35, 0.71) +TGeoTessellated 25 Local ( 0.61, -0.64, 1.31) Global ( 0.61, -0.64, 1.31) +TGeoTessellated 26 Local ( 0.51, -0.67, 1.31) Global ( 0.51, -0.67, 1.31) +TGeoTessellated 27 Local ( 0.53, -0.65, 0.90) Global ( 0.53, -0.65, 0.90) +TGeoTessellated 28 Local ( 0.62, -0.62, 0.91) Global ( 0.62, -0.62, 0.91) +TGeoTessellated 29 Local ( 0.60, -0.65, 1.70) Global ( 0.60, -0.65, 1.70) +TGeoTessellated 30 Local ( 0.51, -0.68, 1.70) Global ( 0.51, -0.68, 1.70) +TGeoTessellated 31 Local ( 0.42, -0.69, 1.30) Global ( 0.42, -0.69, 1.30) +TGeoTessellated 32 Local ( 0.43, -0.67, 0.89) Global ( 0.43, -0.67, 0.89) +TGeoTessellated 33 Local ( 0.42, -0.71, 1.70) Global ( 0.42, -0.71, 1.70) +TGeoTessellated 34 Local ( 0.32, -0.73, 1.70) Global ( 0.32, -0.73, 1.70) +TGeoTessellated 35 Local ( 0.32, -0.71, 1.30) Global ( 0.32, -0.71, 1.30) +TGeoTessellated 36 Local ( 0.33, -0.69, 0.88) Global ( 0.33, -0.69, 0.88) +TGeoTessellated 37 Local ( 0.43, -0.63, 0.49) Global ( 0.43, -0.63, 0.49) +TGeoTessellated 38 Local ( 0.54, -0.61, 0.51) Global ( 0.54, -0.61, 0.51) +TGeoTessellated 39 Local ( 0.33, -0.65, 0.48) Global ( 0.33, -0.65, 0.48) +TGeoTessellated 40 Local ( 0.33, -0.61, 0.14) Global ( 0.33, -0.61, 0.14) +TGeoTessellated 41 Local ( 0.43, -0.59, 0.16) Global ( 0.43, -0.59, 0.16) +TGeoTessellated 42 Local ( 0.54, -0.57, 0.19) Global ( 0.54, -0.57, 0.19) +TGeoTessellated 43 Local ( 0.64, -0.59, 0.54) Global ( 0.64, -0.59, 0.54) +TGeoTessellated 44 Local ( 0.65, -0.55, 0.22) Global ( 0.65, -0.55, 0.22) +TGeoTessellated 45 Local ( 0.24, -0.73, 1.30) Global ( 0.24, -0.73, 1.30) +TGeoTessellated 46 Local ( 0.16, -0.73, 1.30) Global ( 0.16, -0.73, 1.30) +TGeoTessellated 47 Local ( 0.16, -0.71, 0.88) Global ( 0.16, -0.71, 0.88) +TGeoTessellated 48 Local ( 0.24, -0.70, 0.88) Global ( 0.24, -0.70, 0.88) +TGeoTessellated 49 Local ( 0.24, -0.74, 1.70) Global ( 0.24, -0.74, 1.70) +TGeoTessellated 50 Local ( 0.15, -0.75, 1.70) Global ( 0.15, -0.75, 1.70) +TGeoTessellated 51 Local ( 0.08, -0.74, 1.30) Global ( 0.08, -0.74, 1.30) +TGeoTessellated 52 Local ( 0.08, -0.72, 0.89) Global ( 0.08, -0.72, 0.89) +TGeoTessellated 53 Local ( 0.08, -0.75, 1.70) Global ( 0.08, -0.75, 1.70) +TGeoTessellated 54 Local ( -0.00, -0.75, 1.70) Global ( -0.00, -0.75, 1.70) +TGeoTessellated 55 Local ( 0.00, -0.74, 1.30) Global ( 0.00, -0.74, 1.30) +TGeoTessellated 56 Local ( 0.00, -0.72, 0.89) Global ( 0.00, -0.72, 0.89) +TGeoTessellated 57 Local ( 0.08, -0.69, 0.49) Global ( 0.08, -0.69, 0.49) +TGeoTessellated 58 Local ( 0.16, -0.68, 0.48) Global ( 0.16, -0.68, 0.48) +TGeoTessellated 59 Local ( 0.00, -0.69, 0.49) Global ( 0.00, -0.69, 0.49) +TGeoTessellated 60 Local ( 0.00, -0.65, 0.15) Global ( 0.00, -0.65, 0.15) +TGeoTessellated 61 Local ( 0.07, -0.65, 0.14) Global ( 0.07, -0.65, 0.14) +TGeoTessellated 62 Local ( 0.15, -0.64, 0.14) Global ( 0.15, -0.64, 0.14) +TGeoTessellated 63 Local ( 0.24, -0.67, 0.48) Global ( 0.24, -0.67, 0.48) +TGeoTessellated 64 Local ( 0.24, -0.62, 0.13) Global ( 0.24, -0.62, 0.13) +TGeoTessellated 65 Local ( 0.86, 0.54, 1.11) Global ( 0.86, 0.54, 1.11) +TGeoTessellated 66 Local ( 0.81, 0.57, 1.11) Global ( 0.81, 0.57, 1.11) +TGeoTessellated 67 Local ( 0.80, 0.52, 1.31) Global ( 0.80, 0.52, 1.31) +TGeoTessellated 68 Local ( 0.84, 0.49, 1.30) Global ( 0.84, 0.49, 1.30) +TGeoTessellated 69 Local ( 0.89, 0.44, 1.29) Global ( 0.89, 0.44, 1.29) +TGeoTessellated 70 Local ( 0.90, 0.48, 1.09) Global ( 0.90, 0.48, 1.09) +TGeoTessellated 71 Local ( 0.93, 0.53, 0.91) Global ( 0.93, 0.53, 0.91) +TGeoTessellated 72 Local ( 0.88, 0.59, 0.93) Global ( 0.88, 0.59, 0.93) +TGeoTessellated 73 Local ( 0.82, 0.62, 0.93) Global ( 0.82, 0.62, 0.93) +TGeoTessellated 74 Local ( 0.75, 0.59, 1.11) Global ( 0.75, 0.59, 1.11) +TGeoTessellated 75 Local ( 0.74, 0.54, 1.31) Global ( 0.74, 0.54, 1.31) +TGeoTessellated 76 Local ( 0.76, 0.64, 0.93) Global ( 0.76, 0.64, 0.93) +TGeoTessellated 77 Local ( 0.68, 0.66, 0.92) Global ( 0.68, 0.66, 0.92) +TGeoTessellated 78 Local ( 0.68, 0.60, 1.11) Global ( 0.68, 0.60, 1.11) +TGeoTessellated 79 Local ( 0.67, 0.55, 1.31) Global ( 0.67, 0.55, 1.31) +TGeoTessellated 80 Local ( 0.73, 0.51, 1.51) Global ( 0.73, 0.51, 1.51) +TGeoTessellated 81 Local ( 0.79, 0.50, 1.51) Global ( 0.79, 0.50, 1.51) +TGeoTessellated 82 Local ( 0.67, 0.52, 1.51) Global ( 0.67, 0.52, 1.51) +TGeoTessellated 83 Local ( 0.67, 0.52, 1.73) Global ( 0.67, 0.52, 1.73) +TGeoTessellated 84 Local ( 0.74, 0.51, 1.73) Global ( 0.74, 0.51, 1.73) +TGeoTessellated 85 Local ( 0.80, 0.49, 1.73) Global ( 0.80, 0.49, 1.73) +TGeoTessellated 86 Local ( 0.84, 0.47, 1.51) Global ( 0.84, 0.47, 1.51) +TGeoTessellated 87 Local ( 0.84, 0.46, 1.74) Global ( 0.84, 0.46, 1.74) +TGeoTessellated 88 Local ( 0.88, 0.42, 1.74) Global ( 0.88, 0.42, 1.74) +TGeoTessellated 89 Local ( 0.87, 0.42, 1.51) Global ( 0.87, 0.42, 1.51) +TGeoTessellated 90 Local ( 0.59, 0.61, 1.11) Global ( 0.59, 0.61, 1.11) +TGeoTessellated 91 Local ( 0.50, 0.62, 1.10) Global ( 0.50, 0.62, 1.10) +TGeoTessellated 92 Local ( 0.50, 0.57, 1.30) Global ( 0.50, 0.57, 1.30) +TGeoTessellated 93 Local ( 0.59, 0.56, 1.31) Global ( 0.59, 0.56, 1.31) +TGeoTessellated 94 Local ( 0.60, 0.66, 0.91) Global ( 0.60, 0.66, 0.91) +TGeoTessellated 95 Local ( 0.50, 0.67, 0.90) Global ( 0.50, 0.67, 0.90) +TGeoTessellated 96 Local ( 0.41, 0.62, 1.10) Global ( 0.41, 0.62, 1.10) +TGeoTessellated 97 Local ( 0.41, 0.57, 1.30) Global ( 0.41, 0.57, 1.30) +TGeoTessellated 98 Local ( 0.40, 0.67, 0.89) Global ( 0.40, 0.67, 0.89) +TGeoTessellated 99 Local ( 0.31, 0.67, 0.89) Global ( 0.31, 0.67, 0.89) +TGeoTessellated 100 Local ( 0.31, 0.62, 1.10) Global ( 0.31, 0.62, 1.10) +TGeoTessellated 101 Local ( 0.31, 0.57, 1.30) Global ( 0.31, 0.57, 1.30) +TGeoTessellated 102 Local ( 0.40, 0.55, 1.51) Global ( 0.40, 0.55, 1.51) +TGeoTessellated 103 Local ( 0.50, 0.54, 1.51) Global ( 0.50, 0.54, 1.51) +TGeoTessellated 104 Local ( 0.31, 0.55, 1.51) Global ( 0.31, 0.55, 1.51) +TGeoTessellated 105 Local ( 0.32, 0.55, 1.72) Global ( 0.32, 0.55, 1.72) +TGeoTessellated 106 Local ( 0.41, 0.55, 1.72) Global ( 0.41, 0.55, 1.72) +TGeoTessellated 107 Local ( 0.50, 0.54, 1.72) Global ( 0.50, 0.54, 1.72) +TGeoTessellated 108 Local ( 0.59, 0.53, 1.51) Global ( 0.59, 0.53, 1.51) +TGeoTessellated 109 Local ( 0.59, 0.53, 1.72) Global ( 0.59, 0.53, 1.72) +TGeoTessellated 110 Local ( 0.23, 0.61, 1.09) Global ( 0.23, 0.61, 1.09) +TGeoTessellated 111 Local ( 0.15, 0.61, 1.09) Global ( 0.15, 0.61, 1.09) +TGeoTessellated 112 Local ( 0.15, 0.56, 1.30) Global ( 0.15, 0.56, 1.30) +TGeoTessellated 113 Local ( 0.23, 0.57, 1.30) Global ( 0.23, 0.57, 1.30) +TGeoTessellated 114 Local ( 0.23, 0.66, 0.88) Global ( 0.23, 0.66, 0.88) +TGeoTessellated 115 Local ( 0.15, 0.66, 0.88) Global ( 0.15, 0.66, 0.88) +TGeoTessellated 116 Local ( 0.07, 0.60, 1.09) Global ( 0.07, 0.60, 1.09) +TGeoTessellated 117 Local ( 0.07, 0.56, 1.30) Global ( 0.07, 0.56, 1.30) +TGeoTessellated 118 Local ( 0.07, 0.65, 0.88) Global ( 0.07, 0.65, 0.88) +TGeoTessellated 119 Local ( -0.00, 0.65, 0.88) Global ( -0.00, 0.65, 0.88) +TGeoTessellated 120 Local ( 0.00, 0.60, 1.09) Global ( 0.00, 0.60, 1.09) +TGeoTessellated 121 Local ( 0.00, 0.56, 1.30) Global ( 0.00, 0.56, 1.30) +TGeoTessellated 122 Local ( 0.07, 0.53, 1.51) Global ( 0.07, 0.53, 1.51) +TGeoTessellated 123 Local ( 0.15, 0.54, 1.51) Global ( 0.15, 0.54, 1.51) +TGeoTessellated 124 Local ( 0.00, 0.53, 1.51) Global ( 0.00, 0.53, 1.51) +TGeoTessellated 125 Local ( 0.00, 0.53, 1.72) Global ( 0.00, 0.53, 1.72) +TGeoTessellated 126 Local ( 0.07, 0.53, 1.72) Global ( 0.07, 0.53, 1.72) +TGeoTessellated 127 Local ( 0.15, 0.54, 1.72) Global ( 0.15, 0.54, 1.72) +TGeoTessellated 128 Local ( 0.23, 0.54, 1.51) Global ( 0.23, 0.54, 1.51) +TGeoTessellated 129 Local ( 0.23, 0.54, 1.72) Global ( 0.23, 0.54, 1.72) +TGeoTessellated 130 Local ( 0.08, -0.75, 2.04) Global ( 0.08, -0.75, 2.04) +TGeoTessellated 131 Local ( 0.16, -0.75, 2.04) Global ( 0.16, -0.75, 2.04) +TGeoTessellated 132 Local ( 0.17, -0.74, 2.33) Global ( 0.17, -0.74, 2.33) +TGeoTessellated 133 Local ( 0.08, -0.75, 2.33) Global ( 0.08, -0.75, 2.33) +TGeoTessellated 134 Local ( 0.00, -0.75, 2.33) Global ( 0.00, -0.75, 2.33) +TGeoTessellated 135 Local ( 0.00, -0.75, 2.04) Global ( 0.00, -0.75, 2.04) +TGeoTessellated 136 Local ( 0.24, -0.74, 2.04) Global ( 0.24, -0.74, 2.04) +TGeoTessellated 137 Local ( 0.26, -0.74, 2.33) Global ( 0.26, -0.74, 2.33) +TGeoTessellated 138 Local ( 0.33, -0.73, 2.04) Global ( 0.33, -0.73, 2.04) +TGeoTessellated 139 Local ( 0.35, -0.72, 2.33) Global ( 0.35, -0.72, 2.33) +TGeoTessellated 140 Local ( 0.27, -0.72, 2.59) Global ( 0.27, -0.72, 2.59) +TGeoTessellated 141 Local ( 0.18, -0.72, 2.59) Global ( 0.18, -0.72, 2.59) +TGeoTessellated 142 Local ( 0.37, -0.70, 2.59) Global ( 0.37, -0.70, 2.59) +TGeoTessellated 143 Local ( 0.39, -0.66, 2.82) Global ( 0.39, -0.66, 2.82) +TGeoTessellated 144 Local ( 0.29, -0.68, 2.81) Global ( 0.29, -0.68, 2.81) +TGeoTessellated 145 Local ( 0.19, -0.69, 2.81) Global ( 0.19, -0.69, 2.81) +TGeoTessellated 146 Local ( 0.09, -0.73, 2.59) Global ( 0.09, -0.73, 2.59) +TGeoTessellated 147 Local ( 0.09, -0.69, 2.81) Global ( 0.09, -0.69, 2.81) +TGeoTessellated 148 Local ( -0.00, -0.69, 2.81) Global ( -0.00, -0.69, 2.81) +TGeoTessellated 149 Local ( 0.00, -0.73, 2.59) Global ( 0.00, -0.73, 2.59) +TGeoTessellated 150 Local ( 0.43, -0.71, 2.04) Global ( 0.43, -0.71, 2.04) +TGeoTessellated 151 Local ( 0.53, -0.68, 2.04) Global ( 0.53, -0.68, 2.04) +TGeoTessellated 152 Local ( 0.55, -0.66, 2.33) Global ( 0.55, -0.66, 2.33) +TGeoTessellated 153 Local ( 0.45, -0.70, 2.33) Global ( 0.45, -0.70, 2.33) +TGeoTessellated 154 Local ( 0.62, -0.64, 2.04) Global ( 0.62, -0.64, 2.04) +TGeoTessellated 155 Local ( 0.65, -0.62, 2.33) Global ( 0.65, -0.62, 2.33) +TGeoTessellated 156 Local ( 0.71, -0.60, 2.04) Global ( 0.71, -0.60, 2.04) +TGeoTessellated 157 Local ( 0.74, -0.57, 2.33) Global ( 0.74, -0.57, 2.33) +TGeoTessellated 158 Local ( 0.69, -0.59, 2.59) Global ( 0.69, -0.59, 2.59) +TGeoTessellated 159 Local ( 0.58, -0.63, 2.59) Global ( 0.58, -0.63, 2.59) +TGeoTessellated 160 Local ( 0.78, -0.53, 2.59) Global ( 0.78, -0.53, 2.59) +TGeoTessellated 161 Local ( 0.83, -0.48, 2.82) Global ( 0.83, -0.48, 2.82) +TGeoTessellated 162 Local ( 0.73, -0.54, 2.82) Global ( 0.73, -0.54, 2.82) +TGeoTessellated 163 Local ( 0.62, -0.59, 2.82) Global ( 0.62, -0.59, 2.82) +TGeoTessellated 164 Local ( 0.48, -0.67, 2.59) Global ( 0.48, -0.67, 2.59) +TGeoTessellated 165 Local ( 0.50, -0.63, 2.82) Global ( 0.50, -0.63, 2.82) +TGeoTessellated 166 Local ( 0.78, -0.54, 2.04) Global ( 0.78, -0.54, 2.04) +TGeoTessellated 167 Local ( 0.83, -0.49, 2.04) Global ( 0.83, -0.49, 2.04) +TGeoTessellated 168 Local ( 0.87, -0.45, 2.33) Global ( 0.87, -0.45, 2.33) +TGeoTessellated 169 Local ( 0.81, -0.51, 2.33) Global ( 0.81, -0.51, 2.33) +TGeoTessellated 170 Local ( 0.88, -0.42, 2.04) Global ( 0.88, -0.42, 2.04) +TGeoTessellated 171 Local ( 0.92, -0.37, 2.32) Global ( 0.92, -0.37, 2.32) +TGeoTessellated 172 Local ( 0.91, -0.34, 2.03) Global ( 0.91, -0.34, 2.03) +TGeoTessellated 173 Local ( 0.96, -0.29, 2.30) Global ( 0.96, -0.29, 2.30) +TGeoTessellated 174 Local ( 0.98, -0.31, 2.56) Global ( 0.98, -0.31, 2.56) +TGeoTessellated 175 Local ( 0.92, -0.40, 2.58) Global ( 0.92, -0.40, 2.58) +TGeoTessellated 176 Local ( 1.02, -0.22, 2.52) Global ( 1.02, -0.22, 2.52) +TGeoTessellated 177 Local ( 1.10, -0.15, 2.68) Global ( 1.10, -0.15, 2.68) +TGeoTessellated 178 Local ( 1.04, -0.26, 2.76) Global ( 1.04, -0.26, 2.76) +TGeoTessellated 179 Local ( 0.98, -0.35, 2.80) Global ( 0.98, -0.35, 2.80) +TGeoTessellated 180 Local ( 0.86, -0.47, 2.59) Global ( 0.86, -0.47, 2.59) +TGeoTessellated 181 Local ( 0.91, -0.42, 2.82) Global ( 0.91, -0.42, 2.82) +TGeoTessellated 182 Local ( 0.87, 0.50, 1.98) Global ( 0.87, 0.50, 1.98) +TGeoTessellated 183 Local ( 0.82, 0.53, 1.97) Global ( 0.82, 0.53, 1.97) +TGeoTessellated 184 Local ( 0.86, 0.59, 2.21) Global ( 0.86, 0.59, 2.21) +TGeoTessellated 185 Local ( 0.90, 0.55, 2.22) Global ( 0.90, 0.55, 2.22) +TGeoTessellated 186 Local ( 0.94, 0.50, 2.22) Global ( 0.94, 0.50, 2.22) +TGeoTessellated 187 Local ( 0.90, 0.45, 1.98) Global ( 0.90, 0.45, 1.98) +TGeoTessellated 188 Local ( 0.76, 0.55, 1.96) Global ( 0.76, 0.55, 1.96) +TGeoTessellated 189 Local ( 0.80, 0.61, 2.20) Global ( 0.80, 0.61, 2.20) +TGeoTessellated 190 Local ( 0.69, 0.56, 1.95) Global ( 0.69, 0.56, 1.95) +TGeoTessellated 191 Local ( 0.72, 0.62, 2.19) Global ( 0.72, 0.62, 2.19) +TGeoTessellated 192 Local ( 0.84, 0.67, 2.45) Global ( 0.84, 0.67, 2.45) +TGeoTessellated 193 Local ( 0.90, 0.65, 2.46) Global ( 0.90, 0.65, 2.46) +TGeoTessellated 194 Local ( 0.76, 0.68, 2.43) Global ( 0.76, 0.68, 2.43) +TGeoTessellated 195 Local ( 0.80, 0.73, 2.68) Global ( 0.80, 0.73, 2.68) +TGeoTessellated 196 Local ( 0.89, 0.71, 2.69) Global ( 0.89, 0.71, 2.69) +TGeoTessellated 197 Local ( 0.96, 0.69, 2.69) Global ( 0.96, 0.69, 2.69) +TGeoTessellated 198 Local ( 0.96, 0.62, 2.45) Global ( 0.96, 0.62, 2.45) +TGeoTessellated 199 Local ( 1.02, 0.67, 2.67) Global ( 1.02, 0.67, 2.67) +TGeoTessellated 200 Local ( 1.08, 0.64, 2.61) Global ( 1.08, 0.64, 2.61) +TGeoTessellated 201 Local ( 1.00, 0.57, 2.44) Global ( 1.00, 0.57, 2.44) +TGeoTessellated 202 Local ( 0.61, 0.57, 1.95) Global ( 0.61, 0.57, 1.95) +TGeoTessellated 203 Local ( 0.51, 0.58, 1.94) Global ( 0.51, 0.58, 1.94) +TGeoTessellated 204 Local ( 0.54, 0.65, 2.17) Global ( 0.54, 0.65, 2.17) +TGeoTessellated 205 Local ( 0.63, 0.63, 2.18) Global ( 0.63, 0.63, 2.18) +TGeoTessellated 206 Local ( 0.42, 0.59, 1.94) Global ( 0.42, 0.59, 1.94) +TGeoTessellated 207 Local ( 0.44, 0.66, 2.16) Global ( 0.44, 0.66, 2.16) +TGeoTessellated 208 Local ( 0.32, 0.59, 1.93) Global ( 0.32, 0.59, 1.93) +TGeoTessellated 209 Local ( 0.34, 0.66, 2.16) Global ( 0.34, 0.66, 2.16) +TGeoTessellated 210 Local ( 0.46, 0.73, 2.40) Global ( 0.46, 0.73, 2.40) +TGeoTessellated 211 Local ( 0.57, 0.72, 2.41) Global ( 0.57, 0.72, 2.41) +TGeoTessellated 212 Local ( 0.36, 0.74, 2.39) Global ( 0.36, 0.74, 2.39) +TGeoTessellated 213 Local ( 0.38, 0.80, 2.63) Global ( 0.38, 0.80, 2.63) +TGeoTessellated 214 Local ( 0.49, 0.79, 2.64) Global ( 0.49, 0.79, 2.64) +TGeoTessellated 215 Local ( 0.60, 0.77, 2.65) Global ( 0.60, 0.77, 2.65) +TGeoTessellated 216 Local ( 0.67, 0.70, 2.42) Global ( 0.67, 0.70, 2.42) +TGeoTessellated 217 Local ( 0.71, 0.75, 2.66) Global ( 0.71, 0.75, 2.66) +TGeoTessellated 218 Local ( 0.24, 0.59, 1.93) Global ( 0.24, 0.59, 1.93) +TGeoTessellated 219 Local ( 0.16, 0.59, 1.93) Global ( 0.16, 0.59, 1.93) +TGeoTessellated 220 Local ( 0.16, 0.66, 2.15) Global ( 0.16, 0.66, 2.15) +TGeoTessellated 221 Local ( 0.25, 0.66, 2.16) Global ( 0.25, 0.66, 2.16) +TGeoTessellated 222 Local ( 0.08, 0.58, 1.93) Global ( 0.08, 0.58, 1.93) +TGeoTessellated 223 Local ( 0.08, 0.65, 2.15) Global ( 0.08, 0.65, 2.15) +TGeoTessellated 224 Local ( 0.00, 0.58, 1.93) Global ( 0.00, 0.58, 1.93) +TGeoTessellated 225 Local ( 0.00, 0.65, 2.15) Global ( 0.00, 0.65, 2.15) +TGeoTessellated 226 Local ( 0.08, 0.72, 2.38) Global ( 0.08, 0.72, 2.38) +TGeoTessellated 227 Local ( 0.17, 0.73, 2.38) Global ( 0.17, 0.73, 2.38) +TGeoTessellated 228 Local ( 0.00, 0.72, 2.38) Global ( 0.00, 0.72, 2.38) +TGeoTessellated 229 Local ( 0.00, 0.78, 2.62) Global ( 0.00, 0.78, 2.62) +TGeoTessellated 230 Local ( 0.09, 0.79, 2.62) Global ( 0.09, 0.79, 2.62) +TGeoTessellated 231 Local ( 0.18, 0.79, 2.62) Global ( 0.18, 0.79, 2.62) +TGeoTessellated 232 Local ( 0.26, 0.74, 2.39) Global ( 0.26, 0.74, 2.39) +TGeoTessellated 233 Local ( 0.28, 0.80, 2.63) Global ( 0.28, 0.80, 2.63) +TGeoTessellated 234 Local ( 1.08, 0.69, 2.88) Global ( 1.08, 0.69, 2.88) +TGeoTessellated 235 Local ( 1.01, 0.71, 2.92) Global ( 1.01, 0.71, 2.92) +TGeoTessellated 236 Local ( 1.06, 0.71, 3.13) Global ( 1.06, 0.71, 3.13) +TGeoTessellated 237 Local ( 1.14, 0.69, 3.06) Global ( 1.14, 0.69, 3.06) +TGeoTessellated 238 Local ( 1.20, 0.68, 2.93) Global ( 1.20, 0.68, 2.93) +TGeoTessellated 239 Local ( 1.14, 0.68, 2.77) Global ( 1.14, 0.68, 2.77) +TGeoTessellated 240 Local ( 0.94, 0.73, 2.93) Global ( 0.94, 0.73, 2.93) +TGeoTessellated 241 Local ( 0.98, 0.73, 3.15) Global ( 0.98, 0.73, 3.15) +TGeoTessellated 242 Local ( 0.85, 0.75, 2.92) Global ( 0.85, 0.75, 2.92) +TGeoTessellated 243 Local ( 0.89, 0.75, 3.16) Global ( 0.89, 0.75, 3.16) +TGeoTessellated 244 Local ( 1.02, 0.69, 3.36) Global ( 1.02, 0.69, 3.36) +TGeoTessellated 245 Local ( 1.11, 0.67, 3.31) Global ( 1.11, 0.67, 3.31) +TGeoTessellated 246 Local ( 0.91, 0.71, 3.38) Global ( 0.91, 0.71, 3.38) +TGeoTessellated 247 Local ( 0.92, 0.64, 3.59) Global ( 0.92, 0.64, 3.59) +TGeoTessellated 248 Local ( 1.05, 0.63, 3.52) Global ( 1.05, 0.63, 3.52) +TGeoTessellated 249 Local ( 1.15, 0.62, 3.45) Global ( 1.15, 0.62, 3.45) +TGeoTessellated 250 Local ( 1.19, 0.66, 3.22) Global ( 1.19, 0.66, 3.22) +TGeoTessellated 251 Local ( 1.23, 0.61, 3.35) Global ( 1.23, 0.61, 3.35) +TGeoTessellated 252 Local ( 1.31, 0.60, 3.18) Global ( 1.31, 0.60, 3.18) +TGeoTessellated 253 Local ( 1.26, 0.65, 3.07) Global ( 1.26, 0.65, 3.07) +TGeoTessellated 254 Local ( 0.74, 0.78, 2.91) Global ( 0.74, 0.78, 2.91) +TGeoTessellated 255 Local ( 0.63, 0.80, 2.90) Global ( 0.63, 0.80, 2.90) +TGeoTessellated 256 Local ( 0.66, 0.80, 3.14) Global ( 0.66, 0.80, 3.14) +TGeoTessellated 257 Local ( 0.78, 0.77, 3.15) Global ( 0.78, 0.77, 3.15) +TGeoTessellated 258 Local ( 0.51, 0.81, 2.89) Global ( 0.51, 0.81, 2.89) +TGeoTessellated 259 Local ( 0.53, 0.81, 3.13) Global ( 0.53, 0.81, 3.13) +TGeoTessellated 260 Local ( 0.40, 0.82, 2.88) Global ( 0.40, 0.82, 2.88) +TGeoTessellated 261 Local ( 0.42, 0.82, 3.12) Global ( 0.42, 0.82, 3.12) +TGeoTessellated 262 Local ( 0.54, 0.79, 3.35) Global ( 0.54, 0.79, 3.35) +TGeoTessellated 263 Local ( 0.67, 0.77, 3.36) Global ( 0.67, 0.77, 3.36) +TGeoTessellated 264 Local ( 0.42, 0.80, 3.34) Global ( 0.42, 0.80, 3.34) +TGeoTessellated 265 Local ( 0.42, 0.76, 3.53) Global ( 0.42, 0.76, 3.53) +TGeoTessellated 266 Local ( 0.54, 0.75, 3.54) Global ( 0.54, 0.75, 3.54) +TGeoTessellated 267 Local ( 0.66, 0.73, 3.55) Global ( 0.66, 0.73, 3.55) +TGeoTessellated 268 Local ( 0.80, 0.74, 3.37) Global ( 0.80, 0.74, 3.37) +TGeoTessellated 269 Local ( 0.78, 0.69, 3.56) Global ( 0.78, 0.69, 3.56) +TGeoTessellated 270 Local ( 0.29, 0.82, 2.87) Global ( 0.29, 0.82, 2.87) +TGeoTessellated 271 Local ( 0.19, 0.82, 2.87) Global ( 0.19, 0.82, 2.87) +TGeoTessellated 272 Local ( 0.20, 0.82, 3.11) Global ( 0.20, 0.82, 3.11) +TGeoTessellated 273 Local ( 0.30, 0.82, 3.11) Global ( 0.30, 0.82, 3.11) +TGeoTessellated 274 Local ( 0.09, 0.81, 2.87) Global ( 0.09, 0.81, 2.87) +TGeoTessellated 275 Local ( 0.10, 0.81, 3.11) Global ( 0.10, 0.81, 3.11) +TGeoTessellated 276 Local ( 0.00, 0.81, 2.87) Global ( 0.00, 0.81, 2.87) +TGeoTessellated 277 Local ( -0.00, 0.81, 3.11) Global ( -0.00, 0.81, 3.11) +TGeoTessellated 278 Local ( 0.10, 0.79, 3.33) Global ( 0.10, 0.79, 3.33) +TGeoTessellated 279 Local ( 0.20, 0.80, 3.33) Global ( 0.20, 0.80, 3.33) +TGeoTessellated 280 Local ( 0.00, 0.78, 3.33) Global ( 0.00, 0.78, 3.33) +TGeoTessellated 281 Local ( 0.00, 0.74, 3.52) Global ( 0.00, 0.74, 3.52) +TGeoTessellated 282 Local ( 0.10, 0.75, 3.52) Global ( 0.10, 0.75, 3.52) +TGeoTessellated 283 Local ( 0.20, 0.76, 3.52) Global ( 0.20, 0.76, 3.52) +TGeoTessellated 284 Local ( 0.31, 0.80, 3.34) Global ( 0.31, 0.80, 3.34) +TGeoTessellated 285 Local ( 0.31, 0.76, 3.53) Global ( 0.31, 0.76, 3.53) +TGeoTessellated 286 Local ( 0.10, -0.65, 3.02) Global ( 0.10, -0.65, 3.02) +TGeoTessellated 287 Local ( 0.20, -0.64, 3.02) Global ( 0.20, -0.64, 3.02) +TGeoTessellated 288 Local ( 0.20, -0.59, 3.21) Global ( 0.20, -0.59, 3.21) +TGeoTessellated 289 Local ( 0.10, -0.59, 3.21) Global ( 0.10, -0.59, 3.21) +TGeoTessellated 290 Local ( 0.00, -0.59, 3.21) Global ( 0.00, -0.59, 3.21) +TGeoTessellated 291 Local ( 0.00, -0.65, 3.02) Global ( 0.00, -0.65, 3.02) +TGeoTessellated 292 Local ( 0.30, -0.64, 3.02) Global ( 0.30, -0.64, 3.02) +TGeoTessellated 293 Local ( 0.31, -0.58, 3.21) Global ( 0.31, -0.58, 3.21) +TGeoTessellated 294 Local ( 0.41, -0.62, 3.03) Global ( 0.41, -0.62, 3.03) +TGeoTessellated 295 Local ( 0.42, -0.56, 3.22) Global ( 0.42, -0.56, 3.22) +TGeoTessellated 296 Local ( 0.32, -0.51, 3.38) Global ( 0.32, -0.51, 3.38) +TGeoTessellated 297 Local ( 0.21, -0.52, 3.38) Global ( 0.21, -0.52, 3.38) +TGeoTessellated 298 Local ( 0.43, -0.49, 3.39) Global ( 0.43, -0.49, 3.39) +TGeoTessellated 299 Local ( 0.42, -0.41, 3.53) Global ( 0.42, -0.41, 3.53) +TGeoTessellated 300 Local ( 0.31, -0.43, 3.53) Global ( 0.31, -0.43, 3.53) +TGeoTessellated 301 Local ( 0.21, -0.44, 3.53) Global ( 0.21, -0.44, 3.53) +TGeoTessellated 302 Local ( 0.10, -0.52, 3.38) Global ( 0.10, -0.52, 3.38) +TGeoTessellated 303 Local ( 0.10, -0.44, 3.53) Global ( 0.10, -0.44, 3.53) +TGeoTessellated 304 Local ( 0.00, -0.44, 3.53) Global ( 0.00, -0.44, 3.53) +TGeoTessellated 305 Local ( 0.00, -0.52, 3.38) Global ( 0.00, -0.52, 3.38) +TGeoTessellated 306 Local ( 0.53, -0.58, 3.03) Global ( 0.53, -0.58, 3.03) +TGeoTessellated 307 Local ( 0.65, -0.54, 3.03) Global ( 0.65, -0.54, 3.03) +TGeoTessellated 308 Local ( 0.67, -0.47, 3.22) Global ( 0.67, -0.47, 3.22) +TGeoTessellated 309 Local ( 0.54, -0.52, 3.22) Global ( 0.54, -0.52, 3.22) +TGeoTessellated 310 Local ( 0.76, -0.49, 3.03) Global ( 0.76, -0.49, 3.03) +TGeoTessellated 311 Local ( 0.79, -0.42, 3.23) Global ( 0.79, -0.42, 3.23) +TGeoTessellated 312 Local ( 0.87, -0.43, 3.03) Global ( 0.87, -0.43, 3.03) +TGeoTessellated 313 Local ( 0.90, -0.36, 3.22) Global ( 0.90, -0.36, 3.22) +TGeoTessellated 314 Local ( 0.80, -0.35, 3.40) Global ( 0.80, -0.35, 3.40) +TGeoTessellated 315 Local ( 0.68, -0.40, 3.40) Global ( 0.68, -0.40, 3.40) +TGeoTessellated 316 Local ( 0.92, -0.29, 3.40) Global ( 0.92, -0.29, 3.40) +TGeoTessellated 317 Local ( 0.93, -0.19, 3.57) Global ( 0.93, -0.19, 3.57) +TGeoTessellated 318 Local ( 0.79, -0.27, 3.56) Global ( 0.79, -0.27, 3.56) +TGeoTessellated 319 Local ( 0.66, -0.33, 3.54) Global ( 0.66, -0.33, 3.54) +TGeoTessellated 320 Local ( 0.55, -0.45, 3.39) Global ( 0.55, -0.45, 3.39) +TGeoTessellated 321 Local ( 0.54, -0.38, 3.54) Global ( 0.54, -0.38, 3.54) +TGeoTessellated 322 Local ( 0.95, -0.37, 3.02) Global ( 0.95, -0.37, 3.02) +TGeoTessellated 323 Local ( 1.03, -0.30, 3.00) Global ( 1.03, -0.30, 3.00) +TGeoTessellated 324 Local ( 1.08, -0.26, 3.18) Global ( 1.08, -0.26, 3.18) +TGeoTessellated 325 Local ( 1.00, -0.31, 3.21) Global ( 1.00, -0.31, 3.21) +TGeoTessellated 326 Local ( 1.10, -0.23, 2.94) Global ( 1.10, -0.23, 2.94) +TGeoTessellated 327 Local ( 1.15, -0.20, 3.10) Global ( 1.15, -0.20, 3.10) +TGeoTessellated 328 Local ( 1.16, -0.15, 2.82) Global ( 1.16, -0.15, 2.82) +TGeoTessellated 329 Local ( 1.22, -0.14, 2.95) Global ( 1.22, -0.14, 2.95) +TGeoTessellated 330 Local ( 1.20, -0.16, 3.23) Global ( 1.20, -0.16, 3.23) +TGeoTessellated 331 Local ( 1.12, -0.21, 3.32) Global ( 1.12, -0.21, 3.32) +TGeoTessellated 332 Local ( 1.27, -0.11, 3.07) Global ( 1.27, -0.11, 3.07) +TGeoTessellated 333 Local ( 1.31, -0.07, 3.16) Global ( 1.31, -0.07, 3.16) +TGeoTessellated 334 Local ( 1.24, -0.11, 3.33) Global ( 1.24, -0.11, 3.33) +TGeoTessellated 335 Local ( 1.15, -0.14, 3.44) Global ( 1.15, -0.14, 3.44) +TGeoTessellated 336 Local ( 1.03, -0.25, 3.38) Global ( 1.03, -0.25, 3.38) +TGeoTessellated 337 Local ( 1.06, -0.17, 3.51) Global ( 1.06, -0.17, 3.51) +TGeoTessellated 338 Local ( 1.23, -0.06, 2.62) Global ( 1.23, -0.06, 2.62) +TGeoTessellated 339 Local ( 1.31, 0.01, 2.34) Global ( 1.31, 0.01, 2.34) +TGeoTessellated 340 Local ( 1.36, 0.00, 2.42) Global ( 1.36, 0.00, 2.42) +TGeoTessellated 341 Local ( 1.28, -0.06, 2.72) Global ( 1.28, -0.06, 2.72) +TGeoTessellated 342 Local ( 1.18, -0.03, 2.52) Global ( 1.18, -0.03, 2.52) +TGeoTessellated 343 Local ( 1.26, 0.04, 2.27) Global ( 1.26, 0.04, 2.27) +TGeoTessellated 344 Local ( 1.40, 0.05, 2.01) Global ( 1.40, 0.05, 2.01) +TGeoTessellated 345 Local ( 1.45, 0.04, 2.08) Global ( 1.45, 0.04, 2.08) +TGeoTessellated 346 Local ( 1.35, 0.08, 1.95) Global ( 1.35, 0.08, 1.95) +TGeoTessellated 347 Local ( 1.47, 0.07, 1.60) Global ( 1.47, 0.07, 1.60) +TGeoTessellated 348 Local ( 1.52, 0.05, 1.65) Global ( 1.52, 0.05, 1.65) +TGeoTessellated 349 Local ( 1.57, 0.04, 1.70) Global ( 1.57, 0.04, 1.70) +TGeoTessellated 350 Local ( 1.51, 0.05, 2.14) Global ( 1.51, 0.05, 2.14) +TGeoTessellated 351 Local ( 1.42, 0.01, 2.50) Global ( 1.42, 0.01, 2.50) +TGeoTessellated 352 Local ( 1.63, 0.04, 1.75) Global ( 1.63, 0.04, 1.75) +TGeoTessellated 353 Local ( 1.68, 0.07, 1.80) Global ( 1.68, 0.07, 1.80) +TGeoTessellated 354 Local ( 1.56, 0.07, 2.20) Global ( 1.56, 0.07, 2.20) +TGeoTessellated 355 Local ( 1.46, 0.04, 2.57) Global ( 1.46, 0.04, 2.57) +TGeoTessellated 356 Local ( 1.34, -0.05, 2.82) Global ( 1.34, -0.05, 2.82) +TGeoTessellated 357 Local ( 1.38, -0.01, 2.90) Global ( 1.38, -0.01, 2.90) +TGeoTessellated 358 Local ( 1.68, -0.02, 1.27) Global ( 1.68, -0.02, 1.27) +TGeoTessellated 359 Local ( 1.85, -0.12, 0.91) Global ( 1.85, -0.12, 0.91) +TGeoTessellated 360 Local ( 1.90, -0.13, 0.95) Global ( 1.90, -0.13, 0.95) +TGeoTessellated 361 Local ( 1.73, -0.03, 1.32) Global ( 1.73, -0.03, 1.32) +TGeoTessellated 362 Local ( 1.63, 0.01, 1.22) Global ( 1.63, 0.01, 1.22) +TGeoTessellated 363 Local ( 1.80, -0.09, 0.88) Global ( 1.80, -0.09, 0.88) +TGeoTessellated 364 Local ( 2.00, -0.21, 0.62) Global ( 2.00, -0.21, 0.62) +TGeoTessellated 365 Local ( 2.05, -0.22, 0.65) Global ( 2.05, -0.22, 0.65) +TGeoTessellated 366 Local ( 1.95, -0.18, 0.60) Global ( 1.95, -0.18, 0.60) +TGeoTessellated 367 Local ( 2.06, -0.23, 0.44) Global ( 2.06, -0.23, 0.44) +TGeoTessellated 368 Local ( 2.12, -0.27, 0.40) Global ( 2.12, -0.27, 0.40) +TGeoTessellated 369 Local ( 2.18, -0.29, 0.41) Global ( 2.18, -0.29, 0.41) +TGeoTessellated 370 Local ( 2.08, -0.21, 0.71) Global ( 2.08, -0.21, 0.71) +TGeoTessellated 371 Local ( 1.94, -0.12, 1.00) Global ( 1.94, -0.12, 1.00) +TGeoTessellated 372 Local ( 2.20, -0.28, 0.48) Global ( 2.20, -0.28, 0.48) +TGeoTessellated 373 Local ( 2.19, -0.24, 0.58) Global ( 2.19, -0.24, 0.58) +TGeoTessellated 374 Local ( 2.11, -0.18, 0.76) Global ( 2.11, -0.18, 0.76) +TGeoTessellated 375 Local ( 1.99, -0.10, 1.05) Global ( 1.99, -0.10, 1.05) +TGeoTessellated 376 Local ( 1.78, -0.03, 1.36) Global ( 1.78, -0.03, 1.36) +TGeoTessellated 377 Local ( 1.83, -0.00, 1.40) Global ( 1.83, -0.00, 1.40) +TGeoTessellated 378 Local ( 1.33, 0.65, 2.82) Global ( 1.33, 0.65, 2.82) +TGeoTessellated 379 Local ( 1.41, 0.64, 2.51) Global ( 1.41, 0.64, 2.51) +TGeoTessellated 380 Local ( 1.35, 0.66, 2.41) Global ( 1.35, 0.66, 2.41) +TGeoTessellated 381 Local ( 1.27, 0.67, 2.70) Global ( 1.27, 0.67, 2.70) +TGeoTessellated 382 Local ( 1.38, 0.60, 2.92) Global ( 1.38, 0.60, 2.92) +TGeoTessellated 383 Local ( 1.46, 0.60, 2.59) Global ( 1.46, 0.60, 2.59) +TGeoTessellated 384 Local ( 1.50, 0.61, 2.15) Global ( 1.50, 0.61, 2.15) +TGeoTessellated 385 Local ( 1.44, 0.63, 2.07) Global ( 1.44, 0.63, 2.07) +TGeoTessellated 386 Local ( 1.56, 0.57, 2.21) Global ( 1.56, 0.57, 2.21) +TGeoTessellated 387 Local ( 1.68, 0.52, 1.81) Global ( 1.68, 0.52, 1.81) +TGeoTessellated 388 Local ( 1.62, 0.56, 1.76) Global ( 1.62, 0.56, 1.76) +TGeoTessellated 389 Local ( 1.56, 0.58, 1.69) Global ( 1.56, 0.58, 1.69) +TGeoTessellated 390 Local ( 1.38, 0.64, 1.99) Global ( 1.38, 0.64, 1.99) +TGeoTessellated 391 Local ( 1.29, 0.66, 2.31) Global ( 1.29, 0.66, 2.31) +TGeoTessellated 392 Local ( 1.50, 0.58, 1.63) Global ( 1.50, 0.58, 1.63) +TGeoTessellated 393 Local ( 1.45, 0.56, 1.57) Global ( 1.45, 0.56, 1.57) +TGeoTessellated 394 Local ( 1.33, 0.62, 1.93) Global ( 1.33, 0.62, 1.93) +TGeoTessellated 395 Local ( 1.24, 0.64, 2.23) Global ( 1.24, 0.64, 2.23) +TGeoTessellated 396 Local ( 1.21, 0.67, 2.58) Global ( 1.21, 0.67, 2.58) +TGeoTessellated 397 Local ( 1.16, 0.65, 2.47) Global ( 1.16, 0.65, 2.47) +TGeoTessellated 398 Local ( 1.78, 0.47, 1.37) Global ( 1.78, 0.47, 1.37) +TGeoTessellated 399 Local ( 1.94, 0.35, 1.01) Global ( 1.94, 0.35, 1.01) +TGeoTessellated 400 Local ( 1.89, 0.37, 0.95) Global ( 1.89, 0.37, 0.95) +TGeoTessellated 401 Local ( 1.72, 0.48, 1.31) Global ( 1.72, 0.48, 1.31) +TGeoTessellated 402 Local ( 1.83, 0.43, 1.42) Global ( 1.83, 0.43, 1.42) +TGeoTessellated 403 Local ( 1.99, 0.32, 1.06) Global ( 1.99, 0.32, 1.06) +TGeoTessellated 404 Local ( 2.08, 0.24, 0.71) Global ( 2.08, 0.24, 0.71) +TGeoTessellated 405 Local ( 2.04, 0.25, 0.64) Global ( 2.04, 0.25, 0.64) +TGeoTessellated 406 Local ( 2.11, 0.22, 0.77) Global ( 2.11, 0.22, 0.77) +TGeoTessellated 407 Local ( 2.19, 0.15, 0.59) Global ( 2.19, 0.15, 0.59) +TGeoTessellated 408 Local ( 2.19, 0.14, 0.48) Global ( 2.19, 0.14, 0.48) +TGeoTessellated 409 Local ( 2.17, 0.14, 0.40) Global ( 2.17, 0.14, 0.40) +TGeoTessellated 410 Local ( 1.99, 0.26, 0.61) Global ( 1.99, 0.26, 0.61) +TGeoTessellated 411 Local ( 1.83, 0.37, 0.90) Global ( 1.83, 0.37, 0.90) +TGeoTessellated 412 Local ( 2.11, 0.15, 0.39) Global ( 2.11, 0.15, 0.39) +TGeoTessellated 413 Local ( 2.04, 0.17, 0.43) Global ( 2.04, 0.17, 0.43) +TGeoTessellated 414 Local ( 1.94, 0.25, 0.58) Global ( 1.94, 0.25, 0.58) +TGeoTessellated 415 Local ( 1.78, 0.36, 0.86) Global ( 1.78, 0.36, 0.86) +TGeoTessellated 416 Local ( 1.66, 0.49, 1.25) Global ( 1.66, 0.49, 1.25) +TGeoTessellated 417 Local ( 1.61, 0.47, 1.20) Global ( 1.61, 0.47, 1.20) +TGeoTessellated 418 Local ( 0.22, -0.56, -0.12) Global ( 0.22, -0.56, -0.12) +TGeoTessellated 419 Local ( 0.14, -0.58, -0.12) Global ( 0.14, -0.58, -0.12) +TGeoTessellated 420 Local ( 0.12, -0.51, -0.29) Global ( 0.12, -0.51, -0.29) +TGeoTessellated 421 Local ( 0.19, -0.49, -0.30) Global ( 0.19, -0.49, -0.30) +TGeoTessellated 422 Local ( 0.28, -0.48, -0.30) Global ( 0.28, -0.48, -0.30) +TGeoTessellated 423 Local ( 0.31, -0.55, -0.10) Global ( 0.31, -0.55, -0.10) +TGeoTessellated 424 Local ( 0.07, -0.59, -0.11) Global ( 0.07, -0.59, -0.11) +TGeoTessellated 425 Local ( 0.06, -0.52, -0.29) Global ( 0.06, -0.52, -0.29) +TGeoTessellated 426 Local ( 0.00, -0.60, -0.11) Global ( 0.00, -0.60, -0.11) +TGeoTessellated 427 Local ( 0.00, -0.53, -0.28) Global ( 0.00, -0.53, -0.28) +TGeoTessellated 428 Local ( 0.05, -0.44, -0.39) Global ( 0.05, -0.44, -0.39) +TGeoTessellated 429 Local ( 0.10, -0.42, -0.41) Global ( 0.10, -0.42, -0.41) +TGeoTessellated 430 Local ( 0.00, -0.44, -0.39) Global ( 0.00, -0.44, -0.39) +TGeoTessellated 431 Local ( 0.00, -0.34, -0.45) Global ( 0.00, -0.34, -0.45) +TGeoTessellated 432 Local ( 0.04, -0.34, -0.45) Global ( 0.04, -0.34, -0.45) +TGeoTessellated 433 Local ( 0.08, -0.32, -0.48) Global ( 0.08, -0.32, -0.48) +TGeoTessellated 434 Local ( 0.16, -0.41, -0.45) Global ( 0.16, -0.41, -0.45) +TGeoTessellated 435 Local ( 0.14, -0.30, -0.55) Global ( 0.14, -0.30, -0.55) +TGeoTessellated 436 Local ( 0.23, -0.28, -0.72) Global ( 0.23, -0.28, -0.72) +TGeoTessellated 437 Local ( 0.25, -0.39, -0.48) Global ( 0.25, -0.39, -0.48) +TGeoTessellated 438 Local ( 0.65, -0.50, 0.01) Global ( 0.65, -0.50, 0.01) +TGeoTessellated 439 Local ( 0.54, -0.52, -0.04) Global ( 0.54, -0.52, -0.04) +TGeoTessellated 440 Local ( 0.52, -0.46, -0.22) Global ( 0.52, -0.46, -0.22) +TGeoTessellated 441 Local ( 0.65, -0.44, -0.16) Global ( 0.65, -0.44, -0.16) +TGeoTessellated 442 Local ( 0.76, -0.42, -0.11) Global ( 0.76, -0.42, -0.11) +TGeoTessellated 443 Local ( 0.76, -0.47, 0.06) Global ( 0.76, -0.47, 0.06) +TGeoTessellated 444 Local ( 0.42, -0.53, -0.08) Global ( 0.42, -0.53, -0.08) +TGeoTessellated 445 Local ( 0.40, -0.47, -0.27) Global ( 0.40, -0.47, -0.27) +TGeoTessellated 446 Local ( 0.38, -0.39, -0.46) Global ( 0.38, -0.39, -0.46) +TGeoTessellated 447 Local ( 0.51, -0.39, -0.42) Global ( 0.51, -0.39, -0.42) +TGeoTessellated 448 Local ( 0.38, -0.32, -0.73) Global ( 0.38, -0.32, -0.73) +TGeoTessellated 449 Local ( 0.52, -0.33, -0.69) Global ( 0.52, -0.33, -0.69) +TGeoTessellated 450 Local ( 0.65, -0.39, -0.36) Global ( 0.65, -0.39, -0.36) +TGeoTessellated 451 Local ( 0.66, -0.33, -0.64) Global ( 0.66, -0.33, -0.64) +TGeoTessellated 452 Local ( 0.78, -0.31, -0.58) Global ( 0.78, -0.31, -0.58) +TGeoTessellated 453 Local ( 0.77, -0.37, -0.30) Global ( 0.77, -0.37, -0.30) +TGeoTessellated 454 Local ( 0.98, -0.34, 0.19) Global ( 0.98, -0.34, 0.19) +TGeoTessellated 455 Local ( 0.92, -0.40, 0.15) Global ( 0.92, -0.40, 0.15) +TGeoTessellated 456 Local ( 0.94, -0.34, -0.02) Global ( 0.94, -0.34, -0.02) +TGeoTessellated 457 Local ( 1.00, -0.29, 0.02) Global ( 1.00, -0.29, 0.02) +TGeoTessellated 458 Local ( 1.05, -0.21, 0.07) Global ( 1.05, -0.21, 0.07) +TGeoTessellated 459 Local ( 1.02, -0.27, 0.24) Global ( 1.02, -0.27, 0.24) +TGeoTessellated 460 Local ( 0.85, -0.44, 0.10) Global ( 0.85, -0.44, 0.10) +TGeoTessellated 461 Local ( 0.86, -0.39, -0.06) Global ( 0.86, -0.39, -0.06) +TGeoTessellated 462 Local ( 0.87, -0.34, -0.25) Global ( 0.87, -0.34, -0.25) +TGeoTessellated 463 Local ( 0.96, -0.29, -0.22) Global ( 0.96, -0.29, -0.22) +TGeoTessellated 464 Local ( 0.88, -0.29, -0.54) Global ( 0.88, -0.29, -0.54) +TGeoTessellated 465 Local ( 0.97, -0.25, -0.51) Global ( 0.97, -0.25, -0.51) +TGeoTessellated 466 Local ( 1.02, -0.24, -0.18) Global ( 1.02, -0.24, -0.18) +TGeoTessellated 467 Local ( 1.04, -0.19, -0.48) Global ( 1.04, -0.19, -0.48) +TGeoTessellated 468 Local ( 1.09, -0.12, -0.45) Global ( 1.09, -0.12, -0.45) +TGeoTessellated 469 Local ( 1.07, -0.16, -0.14) Global ( 1.07, -0.16, -0.14) +TGeoTessellated 470 Local ( 0.07, 0.69, 0.65) Global ( 0.07, 0.69, 0.65) +TGeoTessellated 471 Local ( 0.14, 0.70, 0.65) Global ( 0.14, 0.70, 0.65) +TGeoTessellated 472 Local ( 0.13, 0.72, 0.43) Global ( 0.13, 0.72, 0.43) +TGeoTessellated 473 Local ( 0.06, 0.71, 0.43) Global ( 0.06, 0.71, 0.43) +TGeoTessellated 474 Local ( 0.00, 0.71, 0.43) Global ( 0.00, 0.71, 0.43) +TGeoTessellated 475 Local ( 0.00, 0.69, 0.65) Global ( 0.00, 0.69, 0.65) +TGeoTessellated 476 Local ( 0.22, 0.70, 0.66) Global ( 0.22, 0.70, 0.66) +TGeoTessellated 477 Local ( 0.20, 0.73, 0.42) Global ( 0.20, 0.73, 0.42) +TGeoTessellated 478 Local ( 0.30, 0.71, 0.67) Global ( 0.30, 0.71, 0.67) +TGeoTessellated 479 Local ( 0.28, 0.73, 0.42) Global ( 0.28, 0.73, 0.42) +TGeoTessellated 480 Local ( 0.18, 0.72, 0.17) Global ( 0.18, 0.72, 0.17) +TGeoTessellated 481 Local ( 0.12, 0.72, 0.21) Global ( 0.12, 0.72, 0.21) +TGeoTessellated 482 Local ( 0.27, 0.74, 0.13) Global ( 0.27, 0.74, 0.13) +TGeoTessellated 483 Local ( 0.26, 0.69, -0.26) Global ( 0.26, 0.69, -0.26) +TGeoTessellated 484 Local ( 0.17, 0.69, -0.07) Global ( 0.17, 0.69, -0.07) +TGeoTessellated 485 Local ( 0.10, 0.68, 0.01) Global ( 0.10, 0.68, 0.01) +TGeoTessellated 486 Local ( 0.06, 0.71, 0.22) Global ( 0.06, 0.71, 0.22) +TGeoTessellated 487 Local ( 0.05, 0.67, 0.04) Global ( 0.05, 0.67, 0.04) +TGeoTessellated 488 Local ( 0.00, 0.67, 0.04) Global ( 0.00, 0.67, 0.04) +TGeoTessellated 489 Local ( 0.00, 0.71, 0.22) Global ( 0.00, 0.71, 0.22) +TGeoTessellated 490 Local ( 0.39, 0.71, 0.68) Global ( 0.39, 0.71, 0.68) +TGeoTessellated 491 Local ( 0.49, 0.72, 0.70) Global ( 0.49, 0.72, 0.70) +TGeoTessellated 492 Local ( 0.48, 0.75, 0.47) Global ( 0.48, 0.75, 0.47) +TGeoTessellated 493 Local ( 0.38, 0.74, 0.44) Global ( 0.38, 0.74, 0.44) +TGeoTessellated 494 Local ( 0.59, 0.72, 0.72) Global ( 0.59, 0.72, 0.72) +TGeoTessellated 495 Local ( 0.58, 0.76, 0.50) Global ( 0.58, 0.76, 0.50) +TGeoTessellated 496 Local ( 0.68, 0.71, 0.74) Global ( 0.68, 0.71, 0.74) +TGeoTessellated 497 Local ( 0.68, 0.75, 0.53) Global ( 0.68, 0.75, 0.53) +TGeoTessellated 498 Local ( 0.58, 0.78, 0.20) Global ( 0.58, 0.78, 0.20) +TGeoTessellated 499 Local ( 0.47, 0.77, 0.17) Global ( 0.47, 0.77, 0.17) +TGeoTessellated 500 Local ( 0.68, 0.78, 0.24) Global ( 0.68, 0.78, 0.24) +TGeoTessellated 501 Local ( 0.68, 0.79, -0.15) Global ( 0.68, 0.79, -0.15) +TGeoTessellated 502 Local ( 0.58, 0.78, -0.20) Global ( 0.58, 0.78, -0.20) +TGeoTessellated 503 Local ( 0.48, 0.76, -0.24) Global ( 0.48, 0.76, -0.24) +TGeoTessellated 504 Local ( 0.37, 0.75, 0.14) Global ( 0.37, 0.75, 0.14) +TGeoTessellated 505 Local ( 0.37, 0.74, -0.26) Global ( 0.37, 0.74, -0.26) +TGeoTessellated 506 Local ( 0.76, 0.70, 0.76) Global ( 0.76, 0.70, 0.76) +TGeoTessellated 507 Local ( 0.83, 0.67, 0.77) Global ( 0.83, 0.67, 0.77) +TGeoTessellated 508 Local ( 0.84, 0.72, 0.57) Global ( 0.84, 0.72, 0.57) +TGeoTessellated 509 Local ( 0.77, 0.74, 0.56) Global ( 0.77, 0.74, 0.56) +TGeoTessellated 510 Local ( 0.90, 0.64, 0.77) Global ( 0.90, 0.64, 0.77) +TGeoTessellated 511 Local ( 0.91, 0.68, 0.58) Global ( 0.91, 0.68, 0.58) +TGeoTessellated 512 Local ( 0.95, 0.58, 0.75) Global ( 0.95, 0.58, 0.75) +TGeoTessellated 513 Local ( 0.97, 0.62, 0.56) Global ( 0.97, 0.62, 0.56) +TGeoTessellated 514 Local ( 0.92, 0.71, 0.31) Global ( 0.92, 0.71, 0.31) +TGeoTessellated 515 Local ( 0.85, 0.75, 0.30) Global ( 0.85, 0.75, 0.30) +TGeoTessellated 516 Local ( 0.99, 0.65, 0.31) Global ( 0.99, 0.65, 0.31) +TGeoTessellated 517 Local ( 1.01, 0.66, -0.07) Global ( 1.01, 0.66, -0.07) +TGeoTessellated 518 Local ( 0.94, 0.72, -0.07) Global ( 0.94, 0.72, -0.07) +TGeoTessellated 519 Local ( 0.86, 0.76, -0.09) Global ( 0.86, 0.76, -0.09) +TGeoTessellated 520 Local ( 0.77, 0.77, 0.28) Global ( 0.77, 0.77, 0.28) +TGeoTessellated 521 Local ( 0.78, 0.78, -0.11) Global ( 0.78, 0.78, -0.11) +TGeoTessellated 522 Local ( 0.79, 0.76, -0.66) Global ( 0.79, 0.76, -0.66) +TGeoTessellated 523 Local ( 0.88, 0.74, -0.64) Global ( 0.88, 0.74, -0.64) +TGeoTessellated 524 Local ( 0.90, 0.71, -1.30) Global ( 0.90, 0.71, -1.30) +TGeoTessellated 525 Local ( 0.82, 0.73, -1.32) Global ( 0.82, 0.73, -1.32) +TGeoTessellated 526 Local ( 0.73, 0.73, -1.34) Global ( 0.73, 0.73, -1.34) +TGeoTessellated 527 Local ( 0.70, 0.77, -0.70) Global ( 0.70, 0.77, -0.70) +TGeoTessellated 528 Local ( 0.96, 0.70, -0.62) Global ( 0.96, 0.70, -0.62) +TGeoTessellated 529 Local ( 0.97, 0.67, -1.29) Global ( 0.97, 0.67, -1.29) +TGeoTessellated 530 Local ( 1.02, 0.65, -0.62) Global ( 1.02, 0.65, -0.62) +TGeoTessellated 531 Local ( 1.04, 0.62, -1.28) Global ( 1.04, 0.62, -1.28) +TGeoTessellated 532 Local ( 0.99, 0.64, -2.00) Global ( 0.99, 0.64, -2.00) +TGeoTessellated 533 Local ( 0.92, 0.67, -2.01) Global ( 0.92, 0.67, -2.01) +TGeoTessellated 534 Local ( 1.05, 0.59, -2.00) Global ( 1.05, 0.59, -2.00) +TGeoTessellated 535 Local ( 1.05, 0.56, -2.72) Global ( 1.05, 0.56, -2.72) +TGeoTessellated 536 Local ( 1.00, 0.61, -2.72) Global ( 1.00, 0.61, -2.72) +TGeoTessellated 537 Local ( 0.93, 0.64, -2.72) Global ( 0.93, 0.64, -2.72) +TGeoTessellated 538 Local ( 0.84, 0.69, -2.02) Global ( 0.84, 0.69, -2.02) +TGeoTessellated 539 Local ( 0.86, 0.65, -2.73) Global ( 0.86, 0.65, -2.73) +TGeoTessellated 540 Local ( 0.79, 0.65, -2.73) Global ( 0.79, 0.65, -2.73) +TGeoTessellated 541 Local ( 0.76, 0.68, -2.04) Global ( 0.76, 0.68, -2.04) +TGeoTessellated 542 Local ( 0.42, 0.69, -0.81) Global ( 0.42, 0.69, -0.81) +TGeoTessellated 543 Local ( 0.51, 0.73, -0.78) Global ( 0.51, 0.73, -0.78) +TGeoTessellated 544 Local ( 0.56, 0.68, -1.41) Global ( 0.56, 0.68, -1.41) +TGeoTessellated 545 Local ( 0.48, 0.63, -1.44) Global ( 0.48, 0.63, -1.44) +TGeoTessellated 546 Local ( 0.41, 0.57, -1.48) Global ( 0.41, 0.57, -1.48) +TGeoTessellated 547 Local ( 0.33, 0.63, -0.85) Global ( 0.33, 0.63, -0.85) +TGeoTessellated 548 Local ( 0.61, 0.75, -0.74) Global ( 0.61, 0.75, -0.74) +TGeoTessellated 549 Local ( 0.64, 0.71, -1.37) Global ( 0.64, 0.71, -1.37) +TGeoTessellated 550 Local ( 0.68, 0.66, -2.06) Global ( 0.68, 0.66, -2.06) +TGeoTessellated 551 Local ( 0.60, 0.62, -2.08) Global ( 0.60, 0.62, -2.08) +TGeoTessellated 552 Local ( 0.72, 0.62, -2.74) Global ( 0.72, 0.62, -2.74) +TGeoTessellated 553 Local ( 0.65, 0.58, -2.76) Global ( 0.65, 0.58, -2.76) +TGeoTessellated 554 Local ( 0.54, 0.57, -2.10) Global ( 0.54, 0.57, -2.10) +TGeoTessellated 555 Local ( 0.59, 0.53, -2.77) Global ( 0.59, 0.53, -2.77) +TGeoTessellated 556 Local ( 0.54, 0.47, -2.78) Global ( 0.54, 0.47, -2.78) +TGeoTessellated 557 Local ( 0.48, 0.51, -2.13) Global ( 0.48, 0.51, -2.13) +TGeoTessellated 558 Local ( 1.05, -0.16, -0.94) Global ( 1.05, -0.16, -0.94) +TGeoTessellated 559 Local ( 0.98, -0.21, -0.96) Global ( 0.98, -0.21, -0.96) +TGeoTessellated 560 Local ( 1.00, -0.17, -1.52) Global ( 1.00, -0.17, -1.52) +TGeoTessellated 561 Local ( 1.06, -0.13, -1.51) Global ( 1.06, -0.13, -1.51) +TGeoTessellated 562 Local ( 1.11, -0.07, -1.49) Global ( 1.11, -0.07, -1.49) +TGeoTessellated 563 Local ( 1.10, -0.09, -0.92) Global ( 1.10, -0.09, -0.92) +TGeoTessellated 564 Local ( 0.90, -0.24, -0.98) Global ( 0.90, -0.24, -0.98) +TGeoTessellated 565 Local ( 0.92, -0.20, -1.54) Global ( 0.92, -0.20, -1.54) +TGeoTessellated 566 Local ( 0.80, -0.26, -1.02) Global ( 0.80, -0.26, -1.02) +TGeoTessellated 567 Local ( 0.82, -0.21, -1.56) Global ( 0.82, -0.21, -1.56) +TGeoTessellated 568 Local ( 0.93, -0.15, -2.15) Global ( 0.93, -0.15, -2.15) +TGeoTessellated 569 Local ( 1.01, -0.13, -2.14) Global ( 1.01, -0.13, -2.14) +TGeoTessellated 570 Local ( 0.85, -0.16, -2.17) Global ( 0.85, -0.16, -2.17) +TGeoTessellated 571 Local ( 0.87, -0.10, -2.80) Global ( 0.87, -0.10, -2.80) +TGeoTessellated 572 Local ( 0.94, -0.10, -2.79) Global ( 0.94, -0.10, -2.79) +TGeoTessellated 573 Local ( 1.01, -0.09, -2.79) Global ( 1.01, -0.09, -2.79) +TGeoTessellated 574 Local ( 1.07, -0.10, -2.14) Global ( 1.07, -0.10, -2.14) +TGeoTessellated 575 Local ( 1.07, -0.06, -2.78) Global ( 1.07, -0.06, -2.78) +TGeoTessellated 576 Local ( 1.11, -0.02, -2.78) Global ( 1.11, -0.02, -2.78) +TGeoTessellated 577 Local ( 1.12, -0.05, -2.13) Global ( 1.12, -0.05, -2.13) +TGeoTessellated 578 Local ( 0.68, -0.27, -1.06) Global ( 0.68, -0.27, -1.06) +TGeoTessellated 579 Local ( 0.55, -0.27, -1.12) Global ( 0.55, -0.27, -1.12) +TGeoTessellated 580 Local ( 0.60, -0.21, -1.64) Global ( 0.60, -0.21, -1.64) +TGeoTessellated 581 Local ( 0.72, -0.22, -1.60) Global ( 0.72, -0.22, -1.60) +TGeoTessellated 582 Local ( 0.43, -0.25, -1.15) Global ( 0.43, -0.25, -1.15) +TGeoTessellated 583 Local ( 0.50, -0.18, -1.67) Global ( 0.50, -0.18, -1.67) +TGeoTessellated 584 Local ( 0.32, -0.20, -1.18) Global ( 0.32, -0.20, -1.18) +TGeoTessellated 585 Local ( 0.41, -0.14, -1.70) Global ( 0.41, -0.14, -1.70) +TGeoTessellated 586 Local ( 0.56, -0.12, -2.24) Global ( 0.56, -0.12, -2.24) +TGeoTessellated 587 Local ( 0.65, -0.15, -2.22) Global ( 0.65, -0.15, -2.22) +TGeoTessellated 588 Local ( 0.49, -0.08, -2.26) Global ( 0.49, -0.08, -2.26) +TGeoTessellated 589 Local ( 0.56, -0.03, -2.85) Global ( 0.56, -0.03, -2.85) +TGeoTessellated 590 Local ( 0.62, -0.07, -2.84) Global ( 0.62, -0.07, -2.84) +TGeoTessellated 591 Local ( 0.70, -0.09, -2.83) Global ( 0.70, -0.09, -2.83) +TGeoTessellated 592 Local ( 0.75, -0.16, -2.19) Global ( 0.75, -0.16, -2.19) +TGeoTessellated 593 Local ( 0.78, -0.10, -2.81) Global ( 0.78, -0.10, -2.81) +TGeoTessellated 594 Local ( 0.80, -0.04, -3.41) Global ( 0.80, -0.04, -3.41) +TGeoTessellated 595 Local ( 0.73, -0.03, -3.42) Global ( 0.73, -0.03, -3.42) +TGeoTessellated 596 Local ( 0.75, 0.04, -3.96) Global ( 0.75, 0.04, -3.96) +TGeoTessellated 597 Local ( 0.81, 0.03, -3.96) Global ( 0.81, 0.03, -3.96) +TGeoTessellated 598 Local ( 0.88, 0.02, -3.96) Global ( 0.88, 0.02, -3.96) +TGeoTessellated 599 Local ( 0.88, -0.04, -3.41) Global ( 0.88, -0.04, -3.41) +TGeoTessellated 600 Local ( 0.66, -0.00, -3.42) Global ( 0.66, -0.00, -3.42) +TGeoTessellated 601 Local ( 0.69, 0.06, -3.95) Global ( 0.69, 0.06, -3.95) +TGeoTessellated 602 Local ( 0.60, 0.03, -3.43) Global ( 0.60, 0.03, -3.43) +TGeoTessellated 603 Local ( 0.64, 0.08, -3.95) Global ( 0.64, 0.08, -3.95) +TGeoTessellated 604 Local ( 0.71, 0.11, -4.38) Global ( 0.71, 0.11, -4.38) +TGeoTessellated 605 Local ( 0.76, 0.10, -4.42) Global ( 0.76, 0.10, -4.42) +TGeoTessellated 606 Local ( 0.66, 0.13, -4.36) Global ( 0.66, 0.13, -4.36) +TGeoTessellated 607 Local ( 0.68, 0.16, -4.60) Global ( 0.68, 0.16, -4.60) +TGeoTessellated 608 Local ( 0.71, 0.16, -4.70) Global ( 0.71, 0.16, -4.70) +TGeoTessellated 609 Local ( 0.76, 0.16, -4.77) Global ( 0.76, 0.16, -4.77) +TGeoTessellated 610 Local ( 0.82, 0.09, -4.43) Global ( 0.82, 0.09, -4.43) +TGeoTessellated 611 Local ( 0.81, 0.15, -4.80) Global ( 0.81, 0.15, -4.80) +TGeoTessellated 612 Local ( 0.87, 0.15, -4.80) Global ( 0.87, 0.15, -4.80) +TGeoTessellated 613 Local ( 0.88, 0.09, -4.43) Global ( 0.88, 0.09, -4.43) +TGeoTessellated 614 Local ( 1.06, -0.01, -3.40) Global ( 1.06, -0.01, -3.40) +TGeoTessellated 615 Local ( 1.01, -0.03, -3.40) Global ( 1.01, -0.03, -3.40) +TGeoTessellated 616 Local ( 0.99, 0.03, -3.96) Global ( 0.99, 0.03, -3.96) +TGeoTessellated 617 Local ( 1.04, 0.04, -3.95) Global ( 1.04, 0.04, -3.95) +TGeoTessellated 618 Local ( 1.08, 0.07, -3.94) Global ( 1.08, 0.07, -3.94) +TGeoTessellated 619 Local ( 1.10, 0.03, -3.40) Global ( 1.10, 0.03, -3.40) +TGeoTessellated 620 Local ( 0.94, -0.04, -3.40) Global ( 0.94, -0.04, -3.40) +TGeoTessellated 621 Local ( 0.94, 0.02, -3.96) Global ( 0.94, 0.02, -3.96) +TGeoTessellated 622 Local ( 0.93, 0.09, -4.43) Global ( 0.93, 0.09, -4.43) +TGeoTessellated 623 Local ( 0.98, 0.09, -4.42) Global ( 0.98, 0.09, -4.42) +TGeoTessellated 624 Local ( 0.92, 0.15, -4.80) Global ( 0.92, 0.15, -4.80) +TGeoTessellated 625 Local ( 0.97, 0.15, -4.77) Global ( 0.97, 0.15, -4.77) +TGeoTessellated 626 Local ( 1.02, 0.10, -4.38) Global ( 1.02, 0.10, -4.38) +TGeoTessellated 627 Local ( 1.01, 0.16, -4.70) Global ( 1.01, 0.16, -4.70) +TGeoTessellated 628 Local ( 1.04, 0.16, -4.60) Global ( 1.04, 0.16, -4.60) +TGeoTessellated 629 Local ( 1.06, 0.12, -4.36) Global ( 1.06, 0.12, -4.36) +TGeoTessellated 630 Local ( 0.63, 0.51, -3.39) Global ( 0.63, 0.51, -3.39) +TGeoTessellated 631 Local ( 0.68, 0.56, -3.39) Global ( 0.68, 0.56, -3.39) +TGeoTessellated 632 Local ( 0.70, 0.55, -3.95) Global ( 0.70, 0.55, -3.95) +TGeoTessellated 633 Local ( 0.66, 0.50, -3.95) Global ( 0.66, 0.50, -3.95) +TGeoTessellated 634 Local ( 0.62, 0.45, -3.94) Global ( 0.62, 0.45, -3.94) +TGeoTessellated 635 Local ( 0.58, 0.45, -3.40) Global ( 0.58, 0.45, -3.40) +TGeoTessellated 636 Local ( 0.74, 0.60, -3.38) Global ( 0.74, 0.60, -3.38) +TGeoTessellated 637 Local ( 0.76, 0.59, -3.96) Global ( 0.76, 0.59, -3.96) +TGeoTessellated 638 Local ( 0.80, 0.62, -3.38) Global ( 0.80, 0.62, -3.38) +TGeoTessellated 639 Local ( 0.81, 0.61, -3.95) Global ( 0.81, 0.61, -3.95) +TGeoTessellated 640 Local ( 0.77, 0.58, -4.43) Global ( 0.77, 0.58, -4.43) +TGeoTessellated 641 Local ( 0.72, 0.54, -4.42) Global ( 0.72, 0.54, -4.42) +TGeoTessellated 642 Local ( 0.82, 0.60, -4.43) Global ( 0.82, 0.60, -4.43) +TGeoTessellated 643 Local ( 0.82, 0.58, -4.80) Global ( 0.82, 0.58, -4.80) +TGeoTessellated 644 Local ( 0.77, 0.56, -4.80) Global ( 0.77, 0.56, -4.80) +TGeoTessellated 645 Local ( 0.73, 0.53, -4.77) Global ( 0.73, 0.53, -4.77) +TGeoTessellated 646 Local ( 0.67, 0.50, -4.38) Global ( 0.67, 0.50, -4.38) +TGeoTessellated 647 Local ( 0.68, 0.50, -4.70) Global ( 0.68, 0.50, -4.70) +TGeoTessellated 648 Local ( 0.66, 0.47, -4.60) Global ( 0.66, 0.47, -4.60) +TGeoTessellated 649 Local ( 0.64, 0.46, -4.36) Global ( 0.64, 0.46, -4.36) +TGeoTessellated 650 Local ( 0.87, 0.63, -3.38) Global ( 0.87, 0.63, -3.38) +TGeoTessellated 651 Local ( 0.93, 0.62, -3.37) Global ( 0.93, 0.62, -3.37) +TGeoTessellated 652 Local ( 0.93, 0.61, -3.95) Global ( 0.93, 0.61, -3.95) +TGeoTessellated 653 Local ( 0.87, 0.62, -3.95) Global ( 0.87, 0.62, -3.95) +TGeoTessellated 654 Local ( 0.99, 0.59, -3.37) Global ( 0.99, 0.59, -3.37) +TGeoTessellated 655 Local ( 0.98, 0.59, -3.94) Global ( 0.98, 0.59, -3.94) +TGeoTessellated 656 Local ( 1.04, 0.55, -3.38) Global ( 1.04, 0.55, -3.38) +TGeoTessellated 657 Local ( 1.03, 0.55, -3.94) Global ( 1.03, 0.55, -3.94) +TGeoTessellated 658 Local ( 0.97, 0.58, -4.38) Global ( 0.97, 0.58, -4.38) +TGeoTessellated 659 Local ( 0.93, 0.60, -4.42) Global ( 0.93, 0.60, -4.42) +TGeoTessellated 660 Local ( 1.01, 0.55, -4.36) Global ( 1.01, 0.55, -4.36) +TGeoTessellated 661 Local ( 1.00, 0.55, -4.60) Global ( 1.00, 0.55, -4.60) +TGeoTessellated 662 Local ( 0.97, 0.56, -4.70) Global ( 0.97, 0.56, -4.70) +TGeoTessellated 663 Local ( 0.92, 0.58, -4.77) Global ( 0.92, 0.58, -4.77) +TGeoTessellated 664 Local ( 0.87, 0.61, -4.43) Global ( 0.87, 0.61, -4.43) +TGeoTessellated 665 Local ( 0.87, 0.59, -4.80) Global ( 0.87, 0.59, -4.80) +TGeoTessellated 666 Local ( 0.10, -0.36, 3.65) Global ( 0.10, -0.36, 3.65) +TGeoTessellated 667 Local ( 0.20, -0.36, 3.65) Global ( 0.20, -0.36, 3.65) +TGeoTessellated 668 Local ( 0.19, -0.29, 3.74) Global ( 0.19, -0.29, 3.74) +TGeoTessellated 669 Local ( 0.09, -0.29, 3.74) Global ( 0.09, -0.29, 3.74) +TGeoTessellated 670 Local ( 0.00, -0.29, 3.74) Global ( 0.00, -0.29, 3.74) +TGeoTessellated 671 Local ( 0.00, -0.36, 3.65) Global ( 0.00, -0.36, 3.65) +TGeoTessellated 672 Local ( 0.30, -0.36, 3.65) Global ( 0.30, -0.36, 3.65) +TGeoTessellated 673 Local ( 0.28, -0.28, 3.75) Global ( 0.28, -0.28, 3.75) +TGeoTessellated 674 Local ( 0.40, -0.34, 3.65) Global ( 0.40, -0.34, 3.65) +TGeoTessellated 675 Local ( 0.37, -0.27, 3.75) Global ( 0.37, -0.27, 3.75) +TGeoTessellated 676 Local ( 0.26, -0.21, 3.82) Global ( 0.26, -0.21, 3.82) +TGeoTessellated 677 Local ( 0.17, -0.22, 3.82) Global ( 0.17, -0.22, 3.82) +TGeoTessellated 678 Local ( 0.34, -0.20, 3.83) Global ( 0.34, -0.20, 3.83) +TGeoTessellated 679 Local ( 0.30, -0.15, 3.89) Global ( 0.30, -0.15, 3.89) +TGeoTessellated 680 Local ( 0.24, -0.16, 3.89) Global ( 0.24, -0.16, 3.89) +TGeoTessellated 681 Local ( 0.16, -0.17, 3.89) Global ( 0.16, -0.17, 3.89) +TGeoTessellated 682 Local ( 0.09, -0.22, 3.82) Global ( 0.09, -0.22, 3.82) +TGeoTessellated 683 Local ( 0.08, -0.17, 3.89) Global ( 0.08, -0.17, 3.89) +TGeoTessellated 684 Local ( -0.00, -0.17, 3.89) Global ( -0.00, -0.17, 3.89) +TGeoTessellated 685 Local ( 0.00, -0.22, 3.82) Global ( 0.00, -0.22, 3.82) +TGeoTessellated 686 Local ( 0.51, -0.31, 3.66) Global ( 0.51, -0.31, 3.66) +TGeoTessellated 687 Local ( 0.61, -0.26, 3.66) Global ( 0.61, -0.26, 3.66) +TGeoTessellated 688 Local ( 0.55, -0.20, 3.76) Global ( 0.55, -0.20, 3.76) +TGeoTessellated 689 Local ( 0.46, -0.24, 3.75) Global ( 0.46, -0.24, 3.75) +TGeoTessellated 690 Local ( 0.72, -0.21, 3.67) Global ( 0.72, -0.21, 3.67) +TGeoTessellated 691 Local ( 0.62, -0.15, 3.77) Global ( 0.62, -0.15, 3.77) +TGeoTessellated 692 Local ( 0.80, -0.14, 3.69) Global ( 0.80, -0.14, 3.69) +TGeoTessellated 693 Local ( 0.69, -0.09, 3.78) Global ( 0.69, -0.09, 3.78) +TGeoTessellated 694 Local ( 0.53, -0.11, 3.85) Global ( 0.53, -0.11, 3.85) +TGeoTessellated 695 Local ( 0.48, -0.15, 3.84) Global ( 0.48, -0.15, 3.84) +TGeoTessellated 696 Local ( 0.58, -0.06, 3.86) Global ( 0.58, -0.06, 3.86) +TGeoTessellated 697 Local ( 0.49, -0.04, 3.92) Global ( 0.49, -0.04, 3.92) +TGeoTessellated 698 Local ( 0.46, -0.08, 3.91) Global ( 0.46, -0.08, 3.91) +TGeoTessellated 699 Local ( 0.42, -0.11, 3.90) Global ( 0.42, -0.11, 3.90) +TGeoTessellated 700 Local ( 0.41, -0.18, 3.83) Global ( 0.41, -0.18, 3.83) +TGeoTessellated 701 Local ( 0.36, -0.13, 3.90) Global ( 0.36, -0.13, 3.90) +TGeoTessellated 702 Local ( 0.30, 0.71, 3.67) Global ( 0.30, 0.71, 3.67) +TGeoTessellated 703 Local ( 0.20, 0.70, 3.67) Global ( 0.20, 0.70, 3.67) +TGeoTessellated 704 Local ( 0.19, 0.65, 3.78) Global ( 0.19, 0.65, 3.78) +TGeoTessellated 705 Local ( 0.28, 0.65, 3.78) Global ( 0.28, 0.65, 3.78) +TGeoTessellated 706 Local ( 0.37, 0.65, 3.78) Global ( 0.37, 0.65, 3.78) +TGeoTessellated 707 Local ( 0.40, 0.71, 3.67) Global ( 0.40, 0.71, 3.67) +TGeoTessellated 708 Local ( 0.10, 0.70, 3.67) Global ( 0.10, 0.70, 3.67) +TGeoTessellated 709 Local ( 0.09, 0.64, 3.78) Global ( 0.09, 0.64, 3.78) +TGeoTessellated 710 Local ( 0.00, 0.69, 3.67) Global ( 0.00, 0.69, 3.67) +TGeoTessellated 711 Local ( 0.00, 0.64, 3.78) Global ( 0.00, 0.64, 3.78) +TGeoTessellated 712 Local ( 0.09, 0.58, 3.86) Global ( 0.09, 0.58, 3.86) +TGeoTessellated 713 Local ( 0.18, 0.59, 3.86) Global ( 0.18, 0.59, 3.86) +TGeoTessellated 714 Local ( 0.00, 0.58, 3.86) Global ( 0.00, 0.58, 3.86) +TGeoTessellated 715 Local ( 0.00, 0.53, 3.93) Global ( 0.00, 0.53, 3.93) +TGeoTessellated 716 Local ( 0.08, 0.54, 3.93) Global ( 0.08, 0.54, 3.93) +TGeoTessellated 717 Local ( 0.16, 0.54, 3.93) Global ( 0.16, 0.54, 3.93) +TGeoTessellated 718 Local ( 0.26, 0.59, 3.86) Global ( 0.26, 0.59, 3.86) +TGeoTessellated 719 Local ( 0.24, 0.54, 3.94) Global ( 0.24, 0.54, 3.94) +TGeoTessellated 720 Local ( 0.31, 0.54, 3.94) Global ( 0.31, 0.54, 3.94) +TGeoTessellated 721 Local ( 0.34, 0.59, 3.86) Global ( 0.34, 0.59, 3.86) +TGeoTessellated 722 Local ( 0.72, 0.63, 3.70) Global ( 0.72, 0.63, 3.70) +TGeoTessellated 723 Local ( 0.61, 0.67, 3.69) Global ( 0.61, 0.67, 3.69) +TGeoTessellated 724 Local ( 0.55, 0.61, 3.79) Global ( 0.55, 0.61, 3.79) +TGeoTessellated 725 Local ( 0.62, 0.57, 3.80) Global ( 0.62, 0.57, 3.80) +TGeoTessellated 726 Local ( 0.68, 0.52, 3.81) Global ( 0.68, 0.52, 3.81) +TGeoTessellated 727 Local ( 0.80, 0.58, 3.72) Global ( 0.80, 0.58, 3.72) +TGeoTessellated 728 Local ( 0.51, 0.69, 3.68) Global ( 0.51, 0.69, 3.68) +TGeoTessellated 729 Local ( 0.46, 0.63, 3.78) Global ( 0.46, 0.63, 3.78) +TGeoTessellated 730 Local ( 0.41, 0.57, 3.87) Global ( 0.41, 0.57, 3.87) +TGeoTessellated 731 Local ( 0.48, 0.55, 3.87) Global ( 0.48, 0.55, 3.87) +TGeoTessellated 732 Local ( 0.37, 0.52, 3.94) Global ( 0.37, 0.52, 3.94) +TGeoTessellated 733 Local ( 0.42, 0.49, 3.94) Global ( 0.42, 0.49, 3.94) +TGeoTessellated 734 Local ( 0.54, 0.51, 3.88) Global ( 0.54, 0.51, 3.88) +TGeoTessellated 735 Local ( 0.46, 0.46, 3.94) Global ( 0.46, 0.46, 3.94) +TGeoTessellated 736 Local ( 0.49, 0.41, 3.95) Global ( 0.49, 0.41, 3.95) +TGeoTessellated 737 Local ( 0.58, 0.46, 3.89) Global ( 0.58, 0.46, 3.89) +TGeoTessellated 738 Local ( 1.00, 0.19, 0.97) Global ( 1.00, 0.19, 0.97) +TGeoTessellated 739 Local ( 0.97, 0.30, 1.02) Global ( 0.97, 0.30, 1.02) +TGeoTessellated 740 Local ( 0.95, 0.27, 1.24) Global ( 0.95, 0.27, 1.24) +TGeoTessellated 741 Local ( 0.97, 0.16, 1.21) Global ( 0.97, 0.16, 1.21) +TGeoTessellated 742 Local ( 0.98, 0.04, 1.17) Global ( 0.98, 0.04, 1.17) +TGeoTessellated 743 Local ( 1.01, 0.07, 0.91) Global ( 1.01, 0.07, 0.91) +TGeoTessellated 744 Local ( 1.04, 0.12, 0.69) Global ( 1.04, 0.12, 0.69) +TGeoTessellated 745 Local ( 1.03, 0.24, 0.76) Global ( 1.03, 0.24, 0.76) +TGeoTessellated 746 Local ( 1.00, 0.35, 0.82) Global ( 1.00, 0.35, 0.82) +TGeoTessellated 747 Local ( 0.94, 0.40, 1.06) Global ( 0.94, 0.40, 1.06) +TGeoTessellated 748 Local ( 0.92, 0.36, 1.27) Global ( 0.92, 0.36, 1.27) +TGeoTessellated 749 Local ( 0.97, 0.45, 0.87) Global ( 0.97, 0.45, 0.87) +TGeoTessellated 750 Local ( 0.91, 0.34, 1.50) Global ( 0.91, 0.34, 1.50) +TGeoTessellated 751 Local ( 0.93, 0.25, 1.48) Global ( 0.93, 0.25, 1.48) +TGeoTessellated 752 Local ( 0.91, 0.34, 1.74) Global ( 0.91, 0.34, 1.74) +TGeoTessellated 753 Local ( 0.93, 0.25, 1.73) Global ( 0.93, 0.25, 1.73) +TGeoTessellated 754 Local ( 0.95, 0.14, 1.46) Global ( 0.95, 0.14, 1.46) +TGeoTessellated 755 Local ( 0.95, 0.14, 1.73) Global ( 0.95, 0.14, 1.73) +TGeoTessellated 756 Local ( 0.96, 0.03, 1.73) Global ( 0.96, 0.03, 1.73) +TGeoTessellated 757 Local ( 0.96, 0.03, 1.45) Global ( 0.96, 0.03, 1.45) +TGeoTessellated 758 Local ( 0.96, -0.09, 1.43) Global ( 0.96, -0.09, 1.43) +TGeoTessellated 759 Local ( 0.95, -0.20, 1.41) Global ( 0.95, -0.20, 1.41) +TGeoTessellated 760 Local ( 0.97, -0.19, 1.10) Global ( 0.97, -0.19, 1.10) +TGeoTessellated 761 Local ( 0.98, -0.07, 1.13) Global ( 0.98, -0.07, 1.13) +TGeoTessellated 762 Local ( 0.95, -0.08, 1.72) Global ( 0.95, -0.08, 1.72) +TGeoTessellated 763 Local ( 0.94, -0.18, 1.72) Global ( 0.94, -0.18, 1.72) +TGeoTessellated 764 Local ( 0.93, -0.30, 1.39) Global ( 0.93, -0.30, 1.39) +TGeoTessellated 765 Local ( 0.95, -0.29, 1.06) Global ( 0.95, -0.29, 1.06) +TGeoTessellated 766 Local ( 0.92, -0.28, 1.72) Global ( 0.92, -0.28, 1.72) +TGeoTessellated 767 Local ( 0.99, -0.26, 0.76) Global ( 0.99, -0.26, 0.76) +TGeoTessellated 768 Local ( 1.00, -0.16, 0.81) Global ( 1.00, -0.16, 0.81) +TGeoTessellated 769 Local ( 1.02, -0.22, 0.49) Global ( 1.02, -0.22, 0.49) +TGeoTessellated 770 Local ( 1.04, -0.12, 0.56) Global ( 1.04, -0.12, 0.56) +TGeoTessellated 771 Local ( 1.01, -0.05, 0.86) Global ( 1.01, -0.05, 0.86) +TGeoTessellated 772 Local ( 1.05, -0.00, 0.62) Global ( 1.05, -0.00, 0.62) +TGeoTessellated 773 Local ( 0.94, -0.25, 2.02) Global ( 0.94, -0.25, 2.02) +TGeoTessellated 774 Local ( 0.96, -0.15, 2.01) Global ( 0.96, -0.15, 2.01) +TGeoTessellated 775 Local ( 0.99, -0.09, 2.26) Global ( 0.99, -0.09, 2.26) +TGeoTessellated 776 Local ( 0.98, -0.19, 2.28) Global ( 0.98, -0.19, 2.28) +TGeoTessellated 777 Local ( 0.97, -0.04, 2.00) Global ( 0.97, -0.04, 2.00) +TGeoTessellated 778 Local ( 1.00, 0.01, 2.24) Global ( 1.00, 0.01, 2.24) +TGeoTessellated 779 Local ( 0.97, 0.07, 2.00) Global ( 0.97, 0.07, 2.00) +TGeoTessellated 780 Local ( 1.00, 0.12, 2.23) Global ( 1.00, 0.12, 2.23) +TGeoTessellated 781 Local ( 1.04, 0.08, 2.40) Global ( 1.04, 0.08, 2.40) +TGeoTessellated 782 Local ( 1.04, -0.02, 2.42) Global ( 1.04, -0.02, 2.42) +TGeoTessellated 783 Local ( 1.04, 0.19, 2.38) Global ( 1.04, 0.19, 2.38) +TGeoTessellated 784 Local ( 1.09, 0.25, 2.43) Global ( 1.09, 0.25, 2.43) +TGeoTessellated 785 Local ( 1.09, 0.15, 2.44) Global ( 1.09, 0.15, 2.44) +TGeoTessellated 786 Local ( 1.09, 0.05, 2.48) Global ( 1.09, 0.05, 2.48) +TGeoTessellated 787 Local ( 1.03, -0.13, 2.47) Global ( 1.03, -0.13, 2.47) +TGeoTessellated 788 Local ( 1.10, -0.05, 2.54) Global ( 1.10, -0.05, 2.54) +TGeoTessellated 789 Local ( 0.96, 0.18, 1.99) Global ( 0.96, 0.18, 1.99) +TGeoTessellated 790 Local ( 0.95, 0.28, 1.99) Global ( 0.95, 0.28, 1.99) +TGeoTessellated 791 Local ( 0.99, 0.34, 2.22) Global ( 0.99, 0.34, 2.22) +TGeoTessellated 792 Local ( 1.00, 0.23, 2.22) Global ( 1.00, 0.23, 2.22) +TGeoTessellated 793 Local ( 0.93, 0.37, 1.99) Global ( 0.93, 0.37, 1.99) +TGeoTessellated 794 Local ( 0.97, 0.43, 2.22) Global ( 0.97, 0.43, 2.22) +TGeoTessellated 795 Local ( 1.02, 0.49, 2.41) Global ( 1.02, 0.49, 2.41) +TGeoTessellated 796 Local ( 1.03, 0.40, 2.38) Global ( 1.03, 0.40, 2.38) +TGeoTessellated 797 Local ( 1.08, 0.55, 2.49) Global ( 1.08, 0.55, 2.49) +TGeoTessellated 798 Local ( 1.08, 0.46, 2.44) Global ( 1.08, 0.46, 2.44) +TGeoTessellated 799 Local ( 1.04, 0.29, 2.37) Global ( 1.04, 0.29, 2.37) +TGeoTessellated 800 Local ( 1.08, 0.35, 2.42) Global ( 1.08, 0.35, 2.42) +TGeoTessellated 801 Local ( 1.08, 0.55, 3.61) Global ( 1.08, 0.55, 3.61) +TGeoTessellated 802 Local ( 1.10, 0.45, 3.65) Global ( 1.10, 0.45, 3.65) +TGeoTessellated 803 Local ( 1.20, 0.45, 3.58) Global ( 1.20, 0.45, 3.58) +TGeoTessellated 804 Local ( 1.18, 0.54, 3.54) Global ( 1.18, 0.54, 3.54) +TGeoTessellated 805 Local ( 0.97, 0.54, 3.67) Global ( 0.97, 0.54, 3.67) +TGeoTessellated 806 Local ( 1.00, 0.44, 3.71) Global ( 1.00, 0.44, 3.71) +TGeoTessellated 807 Local ( 1.12, 0.34, 3.67) Global ( 1.12, 0.34, 3.67) +TGeoTessellated 808 Local ( 1.21, 0.35, 3.60) Global ( 1.21, 0.35, 3.60) +TGeoTessellated 809 Local ( 1.01, 0.34, 3.72) Global ( 1.01, 0.34, 3.72) +TGeoTessellated 810 Local ( 1.01, 0.23, 3.72) Global ( 1.01, 0.23, 3.72) +TGeoTessellated 811 Local ( 1.12, 0.24, 3.67) Global ( 1.12, 0.24, 3.67) +TGeoTessellated 812 Local ( 1.21, 0.24, 3.60) Global ( 1.21, 0.24, 3.60) +TGeoTessellated 813 Local ( 1.30, 0.35, 3.48) Global ( 1.30, 0.35, 3.48) +TGeoTessellated 814 Local ( 1.29, 0.45, 3.47) Global ( 1.29, 0.45, 3.47) +TGeoTessellated 815 Local ( 1.30, 0.25, 3.48) Global ( 1.30, 0.25, 3.48) +TGeoTessellated 816 Local ( 1.38, 0.26, 3.30) Global ( 1.38, 0.26, 3.30) +TGeoTessellated 817 Local ( 1.38, 0.36, 3.30) Global ( 1.38, 0.36, 3.30) +TGeoTessellated 818 Local ( 1.37, 0.45, 3.29) Global ( 1.37, 0.45, 3.29) +TGeoTessellated 819 Local ( 1.26, 0.53, 3.43) Global ( 1.26, 0.53, 3.43) +TGeoTessellated 820 Local ( 1.34, 0.53, 3.25) Global ( 1.34, 0.53, 3.25) +TGeoTessellated 821 Local ( 1.12, 0.13, 3.66) Global ( 1.12, 0.13, 3.66) +TGeoTessellated 822 Local ( 1.10, 0.03, 3.63) Global ( 1.10, 0.03, 3.63) +TGeoTessellated 823 Local ( 1.20, 0.03, 3.56) Global ( 1.20, 0.03, 3.56) +TGeoTessellated 824 Local ( 1.21, 0.13, 3.59) Global ( 1.21, 0.13, 3.59) +TGeoTessellated 825 Local ( 1.01, 0.13, 3.71) Global ( 1.01, 0.13, 3.71) +TGeoTessellated 826 Local ( 1.00, 0.03, 3.69) Global ( 1.00, 0.03, 3.69) +TGeoTessellated 827 Local ( 1.08, -0.07, 3.59) Global ( 1.08, -0.07, 3.59) +TGeoTessellated 828 Local ( 1.18, -0.06, 3.52) Global ( 1.18, -0.06, 3.52) +TGeoTessellated 829 Local ( 0.97, -0.07, 3.65) Global ( 0.97, -0.07, 3.65) +TGeoTessellated 830 Local ( 1.27, -0.04, 3.41) Global ( 1.27, -0.04, 3.41) +TGeoTessellated 831 Local ( 1.29, 0.05, 3.45) Global ( 1.29, 0.05, 3.45) +TGeoTessellated 832 Local ( 1.34, -0.01, 3.23) Global ( 1.34, -0.01, 3.23) +TGeoTessellated 833 Local ( 1.37, 0.07, 3.27) Global ( 1.37, 0.07, 3.27) +TGeoTessellated 834 Local ( 1.30, 0.14, 3.47) Global ( 1.30, 0.14, 3.47) +TGeoTessellated 835 Local ( 1.38, 0.16, 3.29) Global ( 1.38, 0.16, 3.29) +TGeoTessellated 836 Local ( 2.19, -0.29, 0.26) Global ( 2.19, -0.29, 0.26) +TGeoTessellated 837 Local ( 2.23, -0.27, 0.18) Global ( 2.23, -0.27, 0.18) +TGeoTessellated 838 Local ( 2.30, -0.29, 0.18) Global ( 2.30, -0.29, 0.18) +TGeoTessellated 839 Local ( 2.26, -0.31, 0.26) Global ( 2.26, -0.31, 0.26) +TGeoTessellated 840 Local ( 2.08, -0.23, 0.35) Global ( 2.08, -0.23, 0.35) +TGeoTessellated 841 Local ( 2.10, -0.21, 0.28) Global ( 2.10, -0.21, 0.28) +TGeoTessellated 842 Local ( 2.24, -0.21, 0.14) Global ( 2.24, -0.21, 0.14) +TGeoTessellated 843 Local ( 2.32, -0.24, 0.15) Global ( 2.32, -0.24, 0.15) +TGeoTessellated 844 Local ( 2.11, -0.15, 0.25) Global ( 2.11, -0.15, 0.25) +TGeoTessellated 845 Local ( 2.11, -0.08, 0.24) Global ( 2.11, -0.08, 0.24) +TGeoTessellated 846 Local ( 2.24, -0.15, 0.14) Global ( 2.24, -0.15, 0.14) +TGeoTessellated 847 Local ( 2.32, -0.17, 0.15) Global ( 2.32, -0.17, 0.15) +TGeoTessellated 848 Local ( 2.34, -0.22, 0.26) Global ( 2.34, -0.22, 0.26) +TGeoTessellated 849 Local ( 2.32, -0.27, 0.29) Global ( 2.32, -0.27, 0.29) +TGeoTessellated 850 Local ( 2.35, -0.16, 0.26) Global ( 2.35, -0.16, 0.26) +TGeoTessellated 851 Local ( 2.31, -0.10, 0.46) Global ( 2.31, -0.10, 0.46) +TGeoTessellated 852 Local ( 2.31, -0.17, 0.46) Global ( 2.31, -0.17, 0.46) +TGeoTessellated 853 Local ( 2.29, -0.22, 0.48) Global ( 2.29, -0.22, 0.48) +TGeoTessellated 854 Local ( 2.28, -0.29, 0.35) Global ( 2.28, -0.29, 0.35) +TGeoTessellated 855 Local ( 2.24, -0.24, 0.52) Global ( 2.24, -0.24, 0.52) +TGeoTessellated 856 Local ( 2.23, -0.08, 0.14) Global ( 2.23, -0.08, 0.14) +TGeoTessellated 857 Local ( 2.22, -0.01, 0.17) Global ( 2.22, -0.01, 0.17) +TGeoTessellated 858 Local ( 2.30, -0.03, 0.18) Global ( 2.30, -0.03, 0.18) +TGeoTessellated 859 Local ( 2.31, -0.11, 0.15) Global ( 2.31, -0.11, 0.15) +TGeoTessellated 860 Local ( 2.10, -0.02, 0.24) Global ( 2.10, -0.02, 0.24) +TGeoTessellated 861 Local ( 2.09, 0.05, 0.27) Global ( 2.09, 0.05, 0.27) +TGeoTessellated 862 Local ( 2.18, 0.07, 0.25) Global ( 2.18, 0.07, 0.25) +TGeoTessellated 863 Local ( 2.25, 0.04, 0.26) Global ( 2.25, 0.04, 0.26) +TGeoTessellated 864 Local ( 2.07, 0.12, 0.34) Global ( 2.07, 0.12, 0.34) +TGeoTessellated 865 Local ( 2.27, 0.05, 0.35) Global ( 2.27, 0.05, 0.35) +TGeoTessellated 866 Local ( 2.32, -0.02, 0.29) Global ( 2.32, -0.02, 0.29) +TGeoTessellated 867 Local ( 2.24, 0.09, 0.53) Global ( 2.24, 0.09, 0.53) +TGeoTessellated 868 Local ( 2.29, 0.02, 0.48) Global ( 2.29, 0.02, 0.48) +TGeoTessellated 869 Local ( 2.34, -0.09, 0.26) Global ( 2.34, -0.09, 0.26) +TGeoTessellated 870 Local ( 2.31, -0.04, 0.47) Global ( 2.31, -0.04, 0.47) +TGeoTessellated 871 Local ( 1.60, 0.12, 2.23) Global ( 1.60, 0.12, 2.23) +TGeoTessellated 872 Local ( 1.62, 0.18, 2.26) Global ( 1.62, 0.18, 2.26) +TGeoTessellated 873 Local ( 1.53, 0.16, 2.65) Global ( 1.53, 0.16, 2.65) +TGeoTessellated 874 Local ( 1.50, 0.09, 2.62) Global ( 1.50, 0.09, 2.62) +TGeoTessellated 875 Local ( 1.72, 0.11, 1.83) Global ( 1.72, 0.11, 1.83) +TGeoTessellated 876 Local ( 1.74, 0.16, 1.85) Global ( 1.74, 0.16, 1.85) +TGeoTessellated 877 Local ( 1.64, 0.24, 2.27) Global ( 1.64, 0.24, 2.27) +TGeoTessellated 878 Local ( 1.54, 0.23, 2.66) Global ( 1.54, 0.23, 2.66) +TGeoTessellated 879 Local ( 1.76, 0.22, 1.86) Global ( 1.76, 0.22, 1.86) +TGeoTessellated 880 Local ( 1.77, 0.29, 1.87) Global ( 1.77, 0.29, 1.87) +TGeoTessellated 881 Local ( 1.65, 0.32, 2.28) Global ( 1.65, 0.32, 2.28) +TGeoTessellated 882 Local ( 1.55, 0.31, 2.67) Global ( 1.55, 0.31, 2.67) +TGeoTessellated 883 Local ( 1.46, 0.20, 3.01) Global ( 1.46, 0.20, 3.01) +TGeoTessellated 884 Local ( 1.44, 0.11, 2.99) Global ( 1.44, 0.11, 2.99) +TGeoTessellated 885 Local ( 1.46, 0.29, 3.02) Global ( 1.46, 0.29, 3.02) +TGeoTessellated 886 Local ( 1.42, 0.04, 2.96) Global ( 1.42, 0.04, 2.96) +TGeoTessellated 887 Local ( 1.64, 0.39, 2.28) Global ( 1.64, 0.39, 2.28) +TGeoTessellated 888 Local ( 1.63, 0.46, 2.27) Global ( 1.63, 0.46, 2.27) +TGeoTessellated 889 Local ( 1.53, 0.47, 2.66) Global ( 1.53, 0.47, 2.66) +TGeoTessellated 890 Local ( 1.54, 0.39, 2.67) Global ( 1.54, 0.39, 2.67) +TGeoTessellated 891 Local ( 1.76, 0.35, 1.87) Global ( 1.76, 0.35, 1.87) +TGeoTessellated 892 Local ( 1.75, 0.42, 1.86) Global ( 1.75, 0.42, 1.86) +TGeoTessellated 893 Local ( 1.60, 0.52, 2.25) Global ( 1.60, 0.52, 2.25) +TGeoTessellated 894 Local ( 1.50, 0.54, 2.64) Global ( 1.50, 0.54, 2.64) +TGeoTessellated 895 Local ( 1.72, 0.47, 1.85) Global ( 1.72, 0.47, 1.85) +TGeoTessellated 896 Local ( 1.42, 0.54, 2.98) Global ( 1.42, 0.54, 2.98) +TGeoTessellated 897 Local ( 1.44, 0.46, 3.01) Global ( 1.44, 0.46, 3.01) +TGeoTessellated 898 Local ( 1.46, 0.37, 3.02) Global ( 1.46, 0.37, 3.02) +TGeoTessellated 899 Local ( 2.15, -0.16, 0.76) Global ( 2.15, -0.16, 0.76) +TGeoTessellated 900 Local ( 2.19, -0.13, 0.74) Global ( 2.19, -0.13, 0.74) +TGeoTessellated 901 Local ( 2.05, -0.02, 1.07) Global ( 2.05, -0.02, 1.07) +TGeoTessellated 902 Local ( 2.02, -0.06, 1.07) Global ( 2.02, -0.06, 1.07) +TGeoTessellated 903 Local ( 2.21, -0.07, 0.74) Global ( 2.21, -0.07, 0.74) +TGeoTessellated 904 Local ( 2.07, 0.04, 1.08) Global ( 2.07, 0.04, 1.08) +TGeoTessellated 905 Local ( 2.21, -0.01, 0.74) Global ( 2.21, -0.01, 0.74) +TGeoTessellated 906 Local ( 2.08, 0.10, 1.08) Global ( 2.08, 0.10, 1.08) +TGeoTessellated 907 Local ( 1.91, 0.14, 1.46) Global ( 1.91, 0.14, 1.46) +TGeoTessellated 908 Local ( 1.90, 0.09, 1.45) Global ( 1.90, 0.09, 1.45) +TGeoTessellated 909 Local ( 1.92, 0.21, 1.46) Global ( 1.92, 0.21, 1.46) +TGeoTessellated 910 Local ( 1.87, 0.04, 1.43) Global ( 1.87, 0.04, 1.43) +TGeoTessellated 911 Local ( 2.21, 0.05, 0.75) Global ( 2.21, 0.05, 0.75) +TGeoTessellated 912 Local ( 2.19, 0.11, 0.75) Global ( 2.19, 0.11, 0.75) +TGeoTessellated 913 Local ( 2.06, 0.22, 1.08) Global ( 2.06, 0.22, 1.08) +TGeoTessellated 914 Local ( 2.07, 0.16, 1.08) Global ( 2.07, 0.16, 1.08) +TGeoTessellated 915 Local ( 2.16, 0.17, 0.77) Global ( 2.16, 0.17, 0.77) +TGeoTessellated 916 Local ( 2.03, 0.28, 1.08) Global ( 2.03, 0.28, 1.08) +TGeoTessellated 917 Local ( 1.87, 0.39, 1.44) Global ( 1.87, 0.39, 1.44) +TGeoTessellated 918 Local ( 1.90, 0.33, 1.46) Global ( 1.90, 0.33, 1.46) +TGeoTessellated 919 Local ( 1.91, 0.27, 1.46) Global ( 1.91, 0.27, 1.46) +TGeoTessellated 920 Local ( 1.29, 0.57, 1.88) Global ( 1.29, 0.57, 1.88) +TGeoTessellated 921 Local ( 1.27, 0.51, 1.86) Global ( 1.27, 0.51, 1.86) +TGeoTessellated 922 Local ( 1.19, 0.52, 2.15) Global ( 1.19, 0.52, 2.15) +TGeoTessellated 923 Local ( 1.21, 0.59, 2.18) Global ( 1.21, 0.59, 2.18) +TGeoTessellated 924 Local ( 1.41, 0.52, 1.54) Global ( 1.41, 0.52, 1.54) +TGeoTessellated 925 Local ( 1.39, 0.46, 1.52) Global ( 1.39, 0.46, 1.52) +TGeoTessellated 926 Local ( 1.26, 0.43, 1.85) Global ( 1.26, 0.43, 1.85) +TGeoTessellated 927 Local ( 1.18, 0.43, 2.14) Global ( 1.18, 0.43, 2.14) +TGeoTessellated 928 Local ( 1.38, 0.39, 1.51) Global ( 1.38, 0.39, 1.51) +TGeoTessellated 929 Local ( 1.38, 0.32, 1.51) Global ( 1.38, 0.32, 1.51) +TGeoTessellated 930 Local ( 1.27, 0.35, 1.86) Global ( 1.27, 0.35, 1.86) +TGeoTessellated 931 Local ( 1.19, 0.34, 2.14) Global ( 1.19, 0.34, 2.14) +TGeoTessellated 932 Local ( 1.13, 0.40, 2.34) Global ( 1.13, 0.40, 2.34) +TGeoTessellated 933 Local ( 1.13, 0.50, 2.35) Global ( 1.13, 0.50, 2.35) +TGeoTessellated 934 Local ( 1.13, 0.31, 2.34) Global ( 1.13, 0.31, 2.34) +TGeoTessellated 935 Local ( 1.14, 0.58, 2.39) Global ( 1.14, 0.58, 2.39) +TGeoTessellated 936 Local ( 1.27, 0.27, 1.87) Global ( 1.27, 0.27, 1.87) +TGeoTessellated 937 Local ( 1.29, 0.20, 1.88) Global ( 1.29, 0.20, 1.88) +TGeoTessellated 938 Local ( 1.21, 0.17, 2.17) Global ( 1.21, 0.17, 2.17) +TGeoTessellated 939 Local ( 1.19, 0.26, 2.15) Global ( 1.19, 0.26, 2.15) +TGeoTessellated 940 Local ( 1.39, 0.25, 1.52) Global ( 1.39, 0.25, 1.52) +TGeoTessellated 941 Local ( 1.41, 0.18, 1.54) Global ( 1.41, 0.18, 1.54) +TGeoTessellated 942 Local ( 1.31, 0.13, 1.91) Global ( 1.31, 0.13, 1.91) +TGeoTessellated 943 Local ( 1.23, 0.10, 2.21) Global ( 1.23, 0.10, 2.21) +TGeoTessellated 944 Local ( 1.43, 0.12, 1.56) Global ( 1.43, 0.12, 1.56) +TGeoTessellated 945 Local ( 1.16, 0.03, 2.44) Global ( 1.16, 0.03, 2.44) +TGeoTessellated 946 Local ( 1.14, 0.12, 2.38) Global ( 1.14, 0.12, 2.38) +TGeoTessellated 947 Local ( 1.13, 0.21, 2.35) Global ( 1.13, 0.21, 2.35) +TGeoTessellated 948 Local ( 1.93, 0.21, 0.53) Global ( 1.93, 0.21, 0.53) +TGeoTessellated 949 Local ( 1.93, 0.15, 0.49) Global ( 1.93, 0.15, 0.49) +TGeoTessellated 950 Local ( 1.74, 0.26, 0.79) Global ( 1.74, 0.26, 0.79) +TGeoTessellated 951 Local ( 1.76, 0.32, 0.82) Global ( 1.76, 0.32, 0.82) +TGeoTessellated 952 Local ( 1.93, 0.08, 0.47) Global ( 1.93, 0.08, 0.47) +TGeoTessellated 953 Local ( 1.74, 0.20, 0.78) Global ( 1.74, 0.20, 0.78) +TGeoTessellated 954 Local ( 1.93, 0.02, 0.47) Global ( 1.93, 0.02, 0.47) +TGeoTessellated 955 Local ( 1.74, 0.13, 0.78) Global ( 1.74, 0.13, 0.78) +TGeoTessellated 956 Local ( 1.55, 0.31, 1.14) Global ( 1.55, 0.31, 1.14) +TGeoTessellated 957 Local ( 1.56, 0.37, 1.15) Global ( 1.56, 0.37, 1.15) +TGeoTessellated 958 Local ( 1.55, 0.24, 1.14) Global ( 1.55, 0.24, 1.14) +TGeoTessellated 959 Local ( 1.57, 0.43, 1.17) Global ( 1.57, 0.43, 1.17) +TGeoTessellated 960 Local ( 1.94, -0.05, 0.47) Global ( 1.94, -0.05, 0.47) +TGeoTessellated 961 Local ( 1.94, -0.11, 0.50) Global ( 1.94, -0.11, 0.50) +TGeoTessellated 962 Local ( 1.76, 0.00, 0.81) Global ( 1.76, 0.00, 0.81) +TGeoTessellated 963 Local ( 1.75, 0.06, 0.79) Global ( 1.75, 0.06, 0.79) +TGeoTessellated 964 Local ( 1.94, -0.15, 0.55) Global ( 1.94, -0.15, 0.55) +TGeoTessellated 965 Local ( 1.77, -0.05, 0.84) Global ( 1.77, -0.05, 0.84) +TGeoTessellated 966 Local ( 1.60, 0.05, 1.19) Global ( 1.60, 0.05, 1.19) +TGeoTessellated 967 Local ( 1.57, 0.10, 1.17) Global ( 1.57, 0.10, 1.17) +TGeoTessellated 968 Local ( 1.56, 0.17, 1.15) Global ( 1.56, 0.17, 1.15) +TGeoTessellated 969 Local ( 0.99, 0.50, 0.71) Global ( 0.99, 0.50, 0.71) +TGeoTessellated 970 Local ( 1.03, 0.40, 0.66) Global ( 1.03, 0.40, 0.66) +TGeoTessellated 971 Local ( 1.05, 0.44, 0.48) Global ( 1.05, 0.44, 0.48) +TGeoTessellated 972 Local ( 1.02, 0.54, 0.53) Global ( 1.02, 0.54, 0.53) +TGeoTessellated 973 Local ( 1.05, 0.28, 0.59) Global ( 1.05, 0.28, 0.59) +TGeoTessellated 974 Local ( 1.08, 0.33, 0.41) Global ( 1.08, 0.33, 0.41) +TGeoTessellated 975 Local ( 1.07, 0.16, 0.52) Global ( 1.07, 0.16, 0.52) +TGeoTessellated 976 Local ( 1.10, 0.21, 0.34) Global ( 1.10, 0.21, 0.34) +TGeoTessellated 977 Local ( 1.11, 0.36, 0.17) Global ( 1.11, 0.36, 0.17) +TGeoTessellated 978 Local ( 1.08, 0.47, 0.23) Global ( 1.08, 0.47, 0.23) +TGeoTessellated 979 Local ( 1.12, 0.25, 0.10) Global ( 1.12, 0.25, 0.10) +TGeoTessellated 980 Local ( 1.14, 0.28, -0.24) Global ( 1.14, 0.28, -0.24) +TGeoTessellated 981 Local ( 1.13, 0.38, -0.19) Global ( 1.13, 0.38, -0.19) +TGeoTessellated 982 Local ( 1.10, 0.49, -0.14) Global ( 1.10, 0.49, -0.14) +TGeoTessellated 983 Local ( 1.04, 0.57, 0.28) Global ( 1.04, 0.57, 0.28) +TGeoTessellated 984 Local ( 1.06, 0.58, -0.10) Global ( 1.06, 0.58, -0.10) +TGeoTessellated 985 Local ( 1.08, 0.04, 0.45) Global ( 1.08, 0.04, 0.45) +TGeoTessellated 986 Local ( 1.07, -0.07, 0.37) Global ( 1.07, -0.07, 0.37) +TGeoTessellated 987 Local ( 1.10, -0.02, 0.20) Global ( 1.10, -0.02, 0.20) +TGeoTessellated 988 Local ( 1.11, 0.09, 0.27) Global ( 1.11, 0.09, 0.27) +TGeoTessellated 989 Local ( 1.05, -0.18, 0.30) Global ( 1.05, -0.18, 0.30) +TGeoTessellated 990 Local ( 1.08, -0.12, 0.13) Global ( 1.08, -0.12, 0.13) +TGeoTessellated 991 Local ( 1.10, -0.07, -0.09) Global ( 1.10, -0.07, -0.09) +TGeoTessellated 992 Local ( 1.12, 0.03, -0.03) Global ( 1.12, 0.03, -0.03) +TGeoTessellated 993 Local ( 1.12, -0.04, -0.41) Global ( 1.12, -0.04, -0.41) +TGeoTessellated 994 Local ( 1.14, 0.06, -0.36) Global ( 1.14, 0.06, -0.36) +TGeoTessellated 995 Local ( 1.13, 0.14, 0.04) Global ( 1.13, 0.14, 0.04) +TGeoTessellated 996 Local ( 1.15, 0.17, -0.30) Global ( 1.15, 0.17, -0.30) +TGeoTessellated 997 Local ( 0.03, -0.21, -0.46) Global ( 0.03, -0.21, -0.46) +TGeoTessellated 998 Local ( 0.03, -0.08, -0.45) Global ( 0.03, -0.08, -0.45) +TGeoTessellated 999 Local ( 0.06, -0.06, -0.49) Global ( 0.06, -0.06, -0.49) +TGeoTessellated 1000 Local ( 0.07, -0.20, -0.50) Global ( 0.07, -0.20, -0.50) +TGeoTessellated 1001 Local ( 0.00, -0.22, -0.46) Global ( 0.00, -0.22, -0.46) +TGeoTessellated 1002 Local ( 0.00, -0.08, -0.45) Global ( 0.00, -0.08, -0.45) +TGeoTessellated 1003 Local ( 0.02, 0.07, -0.41) Global ( 0.02, 0.07, -0.41) +TGeoTessellated 1004 Local ( 0.05, 0.08, -0.45) Global ( 0.05, 0.08, -0.45) +TGeoTessellated 1005 Local ( 0.00, 0.06, -0.41) Global ( 0.00, 0.06, -0.41) +TGeoTessellated 1006 Local ( 0.00, 0.21, -0.35) Global ( 0.00, 0.21, -0.35) +TGeoTessellated 1007 Local ( 0.03, 0.22, -0.35) Global ( 0.03, 0.22, -0.35) +TGeoTessellated 1008 Local ( 0.06, 0.22, -0.39) Global ( 0.06, 0.22, -0.39) +TGeoTessellated 1009 Local ( 0.09, 0.09, -0.57) Global ( 0.09, 0.09, -0.57) +TGeoTessellated 1010 Local ( 0.10, -0.05, -0.60) Global ( 0.10, -0.05, -0.60) +TGeoTessellated 1011 Local ( 0.10, 0.23, -0.51) Global ( 0.10, 0.23, -0.51) +TGeoTessellated 1012 Local ( 0.15, 0.23, -0.75) Global ( 0.15, 0.23, -0.75) +TGeoTessellated 1013 Local ( 0.15, 0.10, -0.80) Global ( 0.15, 0.10, -0.80) +TGeoTessellated 1014 Local ( 0.16, -0.03, -0.83) Global ( 0.16, -0.03, -0.83) +TGeoTessellated 1015 Local ( 0.11, -0.18, -0.60) Global ( 0.11, -0.18, -0.60) +TGeoTessellated 1016 Local ( 0.18, -0.15, -0.82) Global ( 0.18, -0.15, -0.82) +TGeoTessellated 1017 Local ( 0.03, 0.36, -0.29) Global ( 0.03, 0.36, -0.29) +TGeoTessellated 1018 Local ( 0.03, 0.49, -0.21) Global ( 0.03, 0.49, -0.21) +TGeoTessellated 1019 Local ( 0.07, 0.49, -0.25) Global ( 0.07, 0.49, -0.25) +TGeoTessellated 1020 Local ( 0.06, 0.36, -0.33) Global ( 0.06, 0.36, -0.33) +TGeoTessellated 1021 Local ( 0.00, 0.36, -0.29) Global ( 0.00, 0.36, -0.29) +TGeoTessellated 1022 Local ( 0.00, 0.49, -0.21) Global ( 0.00, 0.49, -0.21) +TGeoTessellated 1023 Local ( 0.04, 0.60, -0.10) Global ( 0.04, 0.60, -0.10) +TGeoTessellated 1024 Local ( 0.09, 0.60, -0.14) Global ( 0.09, 0.60, -0.14) +TGeoTessellated 1025 Local ( 0.00, 0.59, -0.10) Global ( 0.00, 0.59, -0.10) +TGeoTessellated 1026 Local ( 0.14, 0.60, -0.24) Global ( 0.14, 0.60, -0.24) +TGeoTessellated 1027 Local ( 0.12, 0.49, -0.36) Global ( 0.12, 0.49, -0.36) +TGeoTessellated 1028 Local ( 0.21, 0.59, -0.48) Global ( 0.21, 0.59, -0.48) +TGeoTessellated 1029 Local ( 0.18, 0.48, -0.61) Global ( 0.18, 0.48, -0.61) +TGeoTessellated 1030 Local ( 0.11, 0.36, -0.45) Global ( 0.11, 0.36, -0.45) +TGeoTessellated 1031 Local ( 0.16, 0.36, -0.69) Global ( 0.16, 0.36, -0.69) +TGeoTessellated 1032 Local ( 0.26, -0.11, -1.20) Global ( 0.26, -0.11, -1.20) +TGeoTessellated 1033 Local ( 0.23, -0.01, -1.21) Global ( 0.23, -0.01, -1.21) +TGeoTessellated 1034 Local ( 0.32, 0.02, -1.70) Global ( 0.32, 0.02, -1.70) +TGeoTessellated 1035 Local ( 0.35, -0.07, -1.71) Global ( 0.35, -0.07, -1.71) +TGeoTessellated 1036 Local ( 0.22, 0.11, -1.18) Global ( 0.22, 0.11, -1.18) +TGeoTessellated 1037 Local ( 0.30, 0.11, -1.68) Global ( 0.30, 0.11, -1.68) +TGeoTessellated 1038 Local ( 0.22, 0.22, -1.14) Global ( 0.22, 0.22, -1.14) +TGeoTessellated 1039 Local ( 0.30, 0.21, -1.65) Global ( 0.30, 0.21, -1.65) +TGeoTessellated 1040 Local ( 0.38, 0.12, -2.25) Global ( 0.38, 0.12, -2.25) +TGeoTessellated 1041 Local ( 0.40, 0.05, -2.26) Global ( 0.40, 0.05, -2.26) +TGeoTessellated 1042 Local ( 0.38, 0.21, -2.23) Global ( 0.38, 0.21, -2.23) +TGeoTessellated 1043 Local ( 0.45, 0.21, -2.84) Global ( 0.45, 0.21, -2.84) +TGeoTessellated 1044 Local ( 0.46, 0.14, -2.85) Global ( 0.46, 0.14, -2.85) +TGeoTessellated 1045 Local ( 0.48, 0.08, -2.85) Global ( 0.48, 0.08, -2.85) +TGeoTessellated 1046 Local ( 0.43, -0.03, -2.27) Global ( 0.43, -0.03, -2.27) +TGeoTessellated 1047 Local ( 0.51, 0.02, -2.85) Global ( 0.51, 0.02, -2.85) +TGeoTessellated 1048 Local ( 0.23, 0.34, -1.09) Global ( 0.23, 0.34, -1.09) +TGeoTessellated 1049 Local ( 0.25, 0.44, -1.03) Global ( 0.25, 0.44, -1.03) +TGeoTessellated 1050 Local ( 0.33, 0.40, -1.57) Global ( 0.33, 0.40, -1.57) +TGeoTessellated 1051 Local ( 0.31, 0.31, -1.61) Global ( 0.31, 0.31, -1.61) +TGeoTessellated 1052 Local ( 0.28, 0.55, -0.94) Global ( 0.28, 0.55, -0.94) +TGeoTessellated 1053 Local ( 0.36, 0.49, -1.52) Global ( 0.36, 0.49, -1.52) +TGeoTessellated 1054 Local ( 0.43, 0.44, -2.15) Global ( 0.43, 0.44, -2.15) +TGeoTessellated 1055 Local ( 0.40, 0.37, -2.18) Global ( 0.40, 0.37, -2.18) +TGeoTessellated 1056 Local ( 0.50, 0.41, -2.80) Global ( 0.50, 0.41, -2.80) +TGeoTessellated 1057 Local ( 0.47, 0.34, -2.81) Global ( 0.47, 0.34, -2.81) +TGeoTessellated 1058 Local ( 0.39, 0.29, -2.20) Global ( 0.39, 0.29, -2.20) +TGeoTessellated 1059 Local ( 0.46, 0.28, -2.82) Global ( 0.46, 0.28, -2.82) +TGeoTessellated 1060 Local ( 1.08, 0.57, -0.64) Global ( 1.08, 0.57, -0.64) +TGeoTessellated 1061 Local ( 1.12, 0.48, -0.67) Global ( 1.12, 0.48, -0.67) +TGeoTessellated 1062 Local ( 1.13, 0.47, -1.32) Global ( 1.13, 0.47, -1.32) +TGeoTessellated 1063 Local ( 1.09, 0.55, -1.30) Global ( 1.09, 0.55, -1.30) +TGeoTessellated 1064 Local ( 1.14, 0.39, -0.71) Global ( 1.14, 0.39, -0.71) +TGeoTessellated 1065 Local ( 1.15, 0.38, -1.35) Global ( 1.15, 0.38, -1.35) +TGeoTessellated 1066 Local ( 1.16, 0.28, -0.75) Global ( 1.16, 0.28, -0.75) +TGeoTessellated 1067 Local ( 1.17, 0.28, -1.38) Global ( 1.17, 0.28, -1.38) +TGeoTessellated 1068 Local ( 1.16, 0.36, -2.04) Global ( 1.16, 0.36, -2.04) +TGeoTessellated 1069 Local ( 1.13, 0.45, -2.02) Global ( 1.13, 0.45, -2.02) +TGeoTessellated 1070 Local ( 1.17, 0.27, -2.06) Global ( 1.17, 0.27, -2.06) +TGeoTessellated 1071 Local ( 1.17, 0.27, -2.75) Global ( 1.17, 0.27, -2.75) +TGeoTessellated 1072 Local ( 1.15, 0.36, -2.74) Global ( 1.15, 0.36, -2.74) +TGeoTessellated 1073 Local ( 1.13, 0.43, -2.73) Global ( 1.13, 0.43, -2.73) +TGeoTessellated 1074 Local ( 1.10, 0.52, -2.01) Global ( 1.10, 0.52, -2.01) +TGeoTessellated 1075 Local ( 1.10, 0.50, -2.72) Global ( 1.10, 0.50, -2.72) +TGeoTessellated 1076 Local ( 1.16, 0.18, -0.80) Global ( 1.16, 0.18, -0.80) +TGeoTessellated 1077 Local ( 1.16, 0.08, -0.84) Global ( 1.16, 0.08, -0.84) +TGeoTessellated 1078 Local ( 1.17, 0.09, -1.44) Global ( 1.17, 0.09, -1.44) +TGeoTessellated 1079 Local ( 1.17, 0.18, -1.41) Global ( 1.17, 0.18, -1.41) +TGeoTessellated 1080 Local ( 1.14, -0.01, -0.88) Global ( 1.14, -0.01, -0.88) +TGeoTessellated 1081 Local ( 1.15, 0.00, -1.47) Global ( 1.15, 0.00, -1.47) +TGeoTessellated 1082 Local ( 1.15, 0.02, -2.11) Global ( 1.15, 0.02, -2.11) +TGeoTessellated 1083 Local ( 1.17, 0.10, -2.10) Global ( 1.17, 0.10, -2.10) +TGeoTessellated 1084 Local ( 1.14, 0.04, -2.78) Global ( 1.14, 0.04, -2.78) +TGeoTessellated 1085 Local ( 1.16, 0.11, -2.77) Global ( 1.16, 0.11, -2.77) +TGeoTessellated 1086 Local ( 1.18, 0.18, -2.08) Global ( 1.18, 0.18, -2.08) +TGeoTessellated 1087 Local ( 1.17, 0.19, -2.76) Global ( 1.17, 0.19, -2.76) +TGeoTessellated 1088 Local ( 1.09, 0.50, -3.38) Global ( 1.09, 0.50, -3.38) +TGeoTessellated 1089 Local ( 1.12, 0.43, -3.39) Global ( 1.12, 0.43, -3.39) +TGeoTessellated 1090 Local ( 1.10, 0.45, -3.96) Global ( 1.10, 0.45, -3.96) +TGeoTessellated 1091 Local ( 1.07, 0.50, -3.95) Global ( 1.07, 0.50, -3.95) +TGeoTessellated 1092 Local ( 1.14, 0.36, -3.39) Global ( 1.14, 0.36, -3.39) +TGeoTessellated 1093 Local ( 1.12, 0.38, -3.97) Global ( 1.12, 0.38, -3.97) +TGeoTessellated 1094 Local ( 1.15, 0.29, -3.40) Global ( 1.15, 0.29, -3.40) +TGeoTessellated 1095 Local ( 1.13, 0.31, -3.98) Global ( 1.13, 0.31, -3.98) +TGeoTessellated 1096 Local ( 1.08, 0.40, -4.46) Global ( 1.08, 0.40, -4.46) +TGeoTessellated 1097 Local ( 1.07, 0.46, -4.44) Global ( 1.07, 0.46, -4.44) +TGeoTessellated 1098 Local ( 1.09, 0.34, -4.46) Global ( 1.09, 0.34, -4.46) +TGeoTessellated 1099 Local ( 1.05, 0.37, -4.82) Global ( 1.05, 0.37, -4.82) +TGeoTessellated 1100 Local ( 1.04, 0.42, -4.82) Global ( 1.04, 0.42, -4.82) +TGeoTessellated 1101 Local ( 1.03, 0.48, -4.79) Global ( 1.03, 0.48, -4.79) +TGeoTessellated 1102 Local ( 1.04, 0.51, -4.39) Global ( 1.04, 0.51, -4.39) +TGeoTessellated 1103 Local ( 1.01, 0.52, -4.70) Global ( 1.01, 0.52, -4.70) +TGeoTessellated 1104 Local ( 1.15, 0.21, -3.40) Global ( 1.15, 0.21, -3.40) +TGeoTessellated 1105 Local ( 1.15, 0.14, -3.40) Global ( 1.15, 0.14, -3.40) +TGeoTessellated 1106 Local ( 1.12, 0.18, -3.97) Global ( 1.12, 0.18, -3.97) +TGeoTessellated 1107 Local ( 1.13, 0.24, -3.97) Global ( 1.13, 0.24, -3.97) +TGeoTessellated 1108 Local ( 1.13, 0.08, -3.40) Global ( 1.13, 0.08, -3.40) +TGeoTessellated 1109 Local ( 1.11, 0.12, -3.95) Global ( 1.11, 0.12, -3.95) +TGeoTessellated 1110 Local ( 1.08, 0.16, -4.39) Global ( 1.08, 0.16, -4.39) +TGeoTessellated 1111 Local ( 1.09, 0.22, -4.44) Global ( 1.09, 0.22, -4.44) +TGeoTessellated 1112 Local ( 1.05, 0.20, -4.70) Global ( 1.05, 0.20, -4.70) +TGeoTessellated 1113 Local ( 1.05, 0.25, -4.79) Global ( 1.05, 0.25, -4.79) +TGeoTessellated 1114 Local ( 1.09, 0.28, -4.46) Global ( 1.09, 0.28, -4.46) +TGeoTessellated 1115 Local ( 1.05, 0.31, -4.82) Global ( 1.05, 0.31, -4.82) +TGeoTessellated 1116 Local ( 0.56, 0.07, -3.43) Global ( 0.56, 0.07, -3.43) +TGeoTessellated 1117 Local ( 0.53, 0.12, -3.44) Global ( 0.53, 0.12, -3.44) +TGeoTessellated 1118 Local ( 0.57, 0.16, -3.98) Global ( 0.57, 0.16, -3.98) +TGeoTessellated 1119 Local ( 0.60, 0.12, -3.96) Global ( 0.60, 0.12, -3.96) +TGeoTessellated 1120 Local ( 0.51, 0.17, -3.44) Global ( 0.51, 0.17, -3.44) +TGeoTessellated 1121 Local ( 0.56, 0.21, -3.99) Global ( 0.56, 0.21, -3.99) +TGeoTessellated 1122 Local ( 0.51, 0.23, -3.43) Global ( 0.51, 0.23, -3.43) +TGeoTessellated 1123 Local ( 0.55, 0.26, -3.99) Global ( 0.55, 0.26, -3.99) +TGeoTessellated 1124 Local ( 0.60, 0.25, -4.46) Global ( 0.60, 0.25, -4.46) +TGeoTessellated 1125 Local ( 0.61, 0.20, -4.44) Global ( 0.61, 0.20, -4.44) +TGeoTessellated 1126 Local ( 0.59, 0.29, -4.46) Global ( 0.59, 0.29, -4.46) +TGeoTessellated 1127 Local ( 0.63, 0.32, -4.83) Global ( 0.63, 0.32, -4.83) +TGeoTessellated 1128 Local ( 0.64, 0.28, -4.82) Global ( 0.64, 0.28, -4.82) +TGeoTessellated 1129 Local ( 0.65, 0.24, -4.79) Global ( 0.65, 0.24, -4.79) +TGeoTessellated 1130 Local ( 0.63, 0.16, -4.39) Global ( 0.63, 0.16, -4.39) +TGeoTessellated 1131 Local ( 0.67, 0.19, -4.70) Global ( 0.67, 0.19, -4.70) +TGeoTessellated 1132 Local ( 0.51, 0.28, -3.43) Global ( 0.51, 0.28, -3.43) +TGeoTessellated 1133 Local ( 0.52, 0.34, -3.42) Global ( 0.52, 0.34, -3.42) +TGeoTessellated 1134 Local ( 0.57, 0.36, -3.97) Global ( 0.57, 0.36, -3.97) +TGeoTessellated 1135 Local ( 0.55, 0.31, -3.98) Global ( 0.55, 0.31, -3.98) +TGeoTessellated 1136 Local ( 0.55, 0.40, -3.41) Global ( 0.55, 0.40, -3.41) +TGeoTessellated 1137 Local ( 0.59, 0.40, -3.96) Global ( 0.59, 0.40, -3.96) +TGeoTessellated 1138 Local ( 0.62, 0.42, -4.39) Global ( 0.62, 0.42, -4.39) +TGeoTessellated 1139 Local ( 0.60, 0.38, -4.44) Global ( 0.60, 0.38, -4.44) +TGeoTessellated 1140 Local ( 0.65, 0.44, -4.70) Global ( 0.65, 0.44, -4.70) +TGeoTessellated 1141 Local ( 0.64, 0.41, -4.79) Global ( 0.64, 0.41, -4.79) +TGeoTessellated 1142 Local ( 0.59, 0.34, -4.46) Global ( 0.59, 0.34, -4.46) +TGeoTessellated 1143 Local ( 0.63, 0.37, -4.82) Global ( 0.63, 0.37, -4.82) +TGeoTessellated 1144 Local ( 0.97, 0.53, -4.89) Global ( 0.97, 0.53, -4.89) +TGeoTessellated 1145 Local ( 0.99, 0.49, -5.00) Global ( 0.99, 0.49, -5.00) +TGeoTessellated 1146 Local ( 0.94, 0.50, -5.11) Global ( 0.94, 0.50, -5.11) +TGeoTessellated 1147 Local ( 0.93, 0.55, -4.99) Global ( 0.93, 0.55, -4.99) +TGeoTessellated 1148 Local ( 1.00, 0.44, -5.04) Global ( 1.00, 0.44, -5.04) +TGeoTessellated 1149 Local ( 0.95, 0.45, -5.15) Global ( 0.95, 0.45, -5.15) +TGeoTessellated 1150 Local ( 1.01, 0.38, -5.04) Global ( 1.01, 0.38, -5.04) +TGeoTessellated 1151 Local ( 0.96, 0.39, -5.16) Global ( 0.96, 0.39, -5.16) +TGeoTessellated 1152 Local ( 0.89, 0.45, -5.19) Global ( 0.89, 0.45, -5.19) +TGeoTessellated 1153 Local ( 0.89, 0.51, -5.14) Global ( 0.89, 0.51, -5.14) +TGeoTessellated 1154 Local ( 0.90, 0.39, -5.20) Global ( 0.90, 0.39, -5.20) +TGeoTessellated 1155 Local ( 0.85, 0.39, -5.20) Global ( 0.85, 0.39, -5.20) +TGeoTessellated 1156 Local ( 0.84, 0.45, -5.19) Global ( 0.84, 0.45, -5.19) +TGeoTessellated 1157 Local ( 0.83, 0.50, -5.14) Global ( 0.83, 0.50, -5.14) +TGeoTessellated 1158 Local ( 0.88, 0.55, -5.02) Global ( 0.88, 0.55, -5.02) +TGeoTessellated 1159 Local ( 0.83, 0.55, -5.02) Global ( 0.83, 0.55, -5.02) +TGeoTessellated 1160 Local ( 1.01, 0.32, -5.04) Global ( 1.01, 0.32, -5.04) +TGeoTessellated 1161 Local ( 1.01, 0.27, -5.00) Global ( 1.01, 0.27, -5.00) +TGeoTessellated 1162 Local ( 0.96, 0.27, -5.11) Global ( 0.96, 0.27, -5.11) +TGeoTessellated 1163 Local ( 0.96, 0.33, -5.15) Global ( 0.96, 0.33, -5.15) +TGeoTessellated 1164 Local ( 1.01, 0.21, -4.89) Global ( 1.01, 0.21, -4.89) +TGeoTessellated 1165 Local ( 0.97, 0.21, -4.99) Global ( 0.97, 0.21, -4.99) +TGeoTessellated 1166 Local ( 0.92, 0.21, -5.02) Global ( 0.92, 0.21, -5.02) +TGeoTessellated 1167 Local ( 0.91, 0.28, -5.14) Global ( 0.91, 0.28, -5.14) +TGeoTessellated 1168 Local ( 0.86, 0.21, -5.02) Global ( 0.86, 0.21, -5.02) +TGeoTessellated 1169 Local ( 0.86, 0.27, -5.14) Global ( 0.86, 0.27, -5.14) +TGeoTessellated 1170 Local ( 0.91, 0.33, -5.19) Global ( 0.91, 0.33, -5.19) +TGeoTessellated 1171 Local ( 0.85, 0.33, -5.19) Global ( 0.85, 0.33, -5.19) +TGeoTessellated 1172 Local ( 0.71, 0.21, -4.89) Global ( 0.71, 0.21, -4.89) +TGeoTessellated 1173 Local ( 0.70, 0.26, -5.00) Global ( 0.70, 0.26, -5.00) +TGeoTessellated 1174 Local ( 0.75, 0.27, -5.11) Global ( 0.75, 0.27, -5.11) +TGeoTessellated 1175 Local ( 0.76, 0.21, -4.99) Global ( 0.76, 0.21, -4.99) +TGeoTessellated 1176 Local ( 0.69, 0.30, -5.04) Global ( 0.69, 0.30, -5.04) +TGeoTessellated 1177 Local ( 0.74, 0.32, -5.15) Global ( 0.74, 0.32, -5.15) +TGeoTessellated 1178 Local ( 0.68, 0.35, -5.05) Global ( 0.68, 0.35, -5.05) +TGeoTessellated 1179 Local ( 0.73, 0.37, -5.16) Global ( 0.73, 0.37, -5.16) +TGeoTessellated 1180 Local ( 0.80, 0.33, -5.19) Global ( 0.80, 0.33, -5.19) +TGeoTessellated 1181 Local ( 0.80, 0.27, -5.14) Global ( 0.80, 0.27, -5.14) +TGeoTessellated 1182 Local ( 0.79, 0.38, -5.20) Global ( 0.79, 0.38, -5.20) +TGeoTessellated 1183 Local ( 0.81, 0.21, -5.02) Global ( 0.81, 0.21, -5.02) +TGeoTessellated 1184 Local ( 0.68, 0.40, -5.04) Global ( 0.68, 0.40, -5.04) +TGeoTessellated 1185 Local ( 0.68, 0.44, -5.00) Global ( 0.68, 0.44, -5.00) +TGeoTessellated 1186 Local ( 0.73, 0.47, -5.11) Global ( 0.73, 0.47, -5.11) +TGeoTessellated 1187 Local ( 0.73, 0.42, -5.15) Global ( 0.73, 0.42, -5.15) +TGeoTessellated 1188 Local ( 0.69, 0.47, -4.89) Global ( 0.69, 0.47, -4.89) +TGeoTessellated 1189 Local ( 0.73, 0.50, -4.99) Global ( 0.73, 0.50, -4.99) +TGeoTessellated 1190 Local ( 0.78, 0.53, -5.02) Global ( 0.78, 0.53, -5.02) +TGeoTessellated 1191 Local ( 0.78, 0.49, -5.14) Global ( 0.78, 0.49, -5.14) +TGeoTessellated 1192 Local ( 0.78, 0.44, -5.19) Global ( 0.78, 0.44, -5.19) +TGeoTessellated 1193 Local ( 0.85, -0.05, 3.72) Global ( 0.85, -0.05, 3.72) +TGeoTessellated 1194 Local ( 0.87, 0.04, 3.75) Global ( 0.87, 0.04, 3.75) +TGeoTessellated 1195 Local ( 0.75, 0.05, 3.82) Global ( 0.75, 0.05, 3.82) +TGeoTessellated 1196 Local ( 0.72, -0.03, 3.80) Global ( 0.72, -0.03, 3.80) +TGeoTessellated 1197 Local ( 0.88, 0.13, 3.77) Global ( 0.88, 0.13, 3.77) +TGeoTessellated 1198 Local ( 0.76, 0.13, 3.84) Global ( 0.76, 0.13, 3.84) +TGeoTessellated 1199 Local ( 0.89, 0.23, 3.78) Global ( 0.89, 0.23, 3.78) +TGeoTessellated 1200 Local ( 0.76, 0.21, 3.84) Global ( 0.76, 0.21, 3.84) +TGeoTessellated 1201 Local ( 0.64, 0.13, 3.90) Global ( 0.64, 0.13, 3.90) +TGeoTessellated 1202 Local ( 0.63, 0.06, 3.89) Global ( 0.63, 0.06, 3.89) +TGeoTessellated 1203 Local ( 0.64, 0.20, 3.91) Global ( 0.64, 0.20, 3.91) +TGeoTessellated 1204 Local ( 0.54, 0.18, 3.97) Global ( 0.54, 0.18, 3.97) +TGeoTessellated 1205 Local ( 0.53, 0.12, 3.96) Global ( 0.53, 0.12, 3.96) +TGeoTessellated 1206 Local ( 0.53, 0.06, 3.95) Global ( 0.53, 0.06, 3.95) +TGeoTessellated 1207 Local ( 0.61, -0.00, 3.87) Global ( 0.61, -0.00, 3.87) +TGeoTessellated 1208 Local ( 0.51, 0.01, 3.93) Global ( 0.51, 0.01, 3.93) +TGeoTessellated 1209 Local ( 0.88, 0.32, 3.78) Global ( 0.88, 0.32, 3.78) +TGeoTessellated 1210 Local ( 0.87, 0.41, 3.77) Global ( 0.87, 0.41, 3.77) +TGeoTessellated 1211 Local ( 0.75, 0.38, 3.84) Global ( 0.75, 0.38, 3.84) +TGeoTessellated 1212 Local ( 0.76, 0.30, 3.84) Global ( 0.76, 0.30, 3.84) +TGeoTessellated 1213 Local ( 0.85, 0.50, 3.75) Global ( 0.85, 0.50, 3.75) +TGeoTessellated 1214 Local ( 0.72, 0.45, 3.83) Global ( 0.72, 0.45, 3.83) +TGeoTessellated 1215 Local ( 0.61, 0.40, 3.89) Global ( 0.61, 0.40, 3.89) +TGeoTessellated 1216 Local ( 0.63, 0.34, 3.90) Global ( 0.63, 0.34, 3.90) +TGeoTessellated 1217 Local ( 0.51, 0.36, 3.96) Global ( 0.51, 0.36, 3.96) +TGeoTessellated 1218 Local ( 0.53, 0.30, 3.96) Global ( 0.53, 0.30, 3.96) +TGeoTessellated 1219 Local ( 0.64, 0.27, 3.91) Global ( 0.64, 0.27, 3.91) +TGeoTessellated 1220 Local ( 0.53, 0.24, 3.97) Global ( 0.53, 0.24, 3.97) +TGeoTessellated 1221 Local ( 0.21, 0.20, 5.46) Global ( 0.21, 0.20, 5.46) +TGeoTessellated 1222 Local ( 0.20, 0.15, 5.49) Global ( 0.20, 0.15, 5.49) +TGeoTessellated 1223 Local ( 0.24, 0.14, 5.47) Global ( 0.24, 0.14, 5.47) +TGeoTessellated 1224 Local ( 0.25, 0.19, 5.45) Global ( 0.25, 0.19, 5.45) +TGeoTessellated 1225 Local ( 0.26, 0.23, 5.42) Global ( 0.26, 0.23, 5.42) +TGeoTessellated 1226 Local ( 0.23, 0.26, 5.43) Global ( 0.23, 0.26, 5.43) +TGeoTessellated 1227 Local ( 0.19, 0.28, 5.43) Global ( 0.19, 0.28, 5.43) +TGeoTessellated 1228 Local ( 0.17, 0.22, 5.47) Global ( 0.17, 0.22, 5.47) +TGeoTessellated 1229 Local ( 0.16, 0.16, 5.49) Global ( 0.16, 0.16, 5.49) +TGeoTessellated 1230 Local ( 0.18, 0.09, 5.50) Global ( 0.18, 0.09, 5.50) +TGeoTessellated 1231 Local ( 0.23, 0.08, 5.48) Global ( 0.23, 0.08, 5.48) +TGeoTessellated 1232 Local ( 0.14, 0.10, 5.51) Global ( 0.14, 0.10, 5.51) +TGeoTessellated 1233 Local ( 0.13, 0.03, 5.51) Global ( 0.13, 0.03, 5.51) +TGeoTessellated 1234 Local ( 0.17, 0.03, 5.50) Global ( 0.17, 0.03, 5.50) +TGeoTessellated 1235 Local ( 0.22, 0.02, 5.48) Global ( 0.22, 0.02, 5.48) +TGeoTessellated 1236 Local ( 0.28, 0.08, 5.46) Global ( 0.28, 0.08, 5.46) +TGeoTessellated 1237 Local ( 0.28, 0.13, 5.45) Global ( 0.28, 0.13, 5.45) +TGeoTessellated 1238 Local ( 0.28, 0.02, 5.45) Global ( 0.28, 0.02, 5.45) +TGeoTessellated 1239 Local ( 0.32, 0.03, 5.42) Global ( 0.32, 0.03, 5.42) +TGeoTessellated 1240 Local ( 0.32, 0.07, 5.42) Global ( 0.32, 0.07, 5.42) +TGeoTessellated 1241 Local ( 0.31, 0.12, 5.42) Global ( 0.31, 0.12, 5.42) +TGeoTessellated 1242 Local ( 0.28, 0.17, 5.44) Global ( 0.28, 0.17, 5.44) +TGeoTessellated 1243 Local ( 0.31, 0.16, 5.41) Global ( 0.31, 0.16, 5.41) +TGeoTessellated 1244 Local ( 0.30, 0.19, 5.40) Global ( 0.30, 0.19, 5.40) +TGeoTessellated 1245 Local ( 0.28, 0.21, 5.41) Global ( 0.28, 0.21, 5.41) +TGeoTessellated 1246 Local ( 0.17, -0.04, 5.49) Global ( 0.17, -0.04, 5.49) +TGeoTessellated 1247 Local ( 0.16, -0.10, 5.47) Global ( 0.16, -0.10, 5.47) +TGeoTessellated 1248 Local ( 0.22, -0.09, 5.45) Global ( 0.22, -0.09, 5.45) +TGeoTessellated 1249 Local ( 0.22, -0.04, 5.47) Global ( 0.22, -0.04, 5.47) +TGeoTessellated 1250 Local ( 0.12, -0.04, 5.50) Global ( 0.12, -0.04, 5.50) +TGeoTessellated 1251 Local ( 0.12, -0.11, 5.48) Global ( 0.12, -0.11, 5.48) +TGeoTessellated 1252 Local ( 0.16, -0.16, 5.44) Global ( 0.16, -0.16, 5.44) +TGeoTessellated 1253 Local ( 0.21, -0.15, 5.42) Global ( 0.21, -0.15, 5.42) +TGeoTessellated 1254 Local ( 0.12, -0.17, 5.45) Global ( 0.12, -0.17, 5.45) +TGeoTessellated 1255 Local ( 0.12, -0.23, 5.42) Global ( 0.12, -0.23, 5.42) +TGeoTessellated 1256 Local ( 0.16, -0.22, 5.41) Global ( 0.16, -0.22, 5.41) +TGeoTessellated 1257 Local ( 0.21, -0.20, 5.39) Global ( 0.21, -0.20, 5.39) +TGeoTessellated 1258 Local ( 0.27, -0.14, 5.39) Global ( 0.27, -0.14, 5.39) +TGeoTessellated 1259 Local ( 0.27, -0.08, 5.42) Global ( 0.27, -0.08, 5.42) +TGeoTessellated 1260 Local ( 0.27, -0.19, 5.37) Global ( 0.27, -0.19, 5.37) +TGeoTessellated 1261 Local ( 0.32, -0.17, 5.32) Global ( 0.32, -0.17, 5.32) +TGeoTessellated 1262 Local ( 0.32, -0.12, 5.36) Global ( 0.32, -0.12, 5.36) +TGeoTessellated 1263 Local ( 0.32, -0.07, 5.38) Global ( 0.32, -0.07, 5.38) +TGeoTessellated 1264 Local ( 0.27, -0.03, 5.44) Global ( 0.27, -0.03, 5.44) +TGeoTessellated 1265 Local ( 0.32, -0.02, 5.40) Global ( 0.32, -0.02, 5.40) +TGeoTessellated 1266 Local ( 0.05, 0.27, 5.48) Global ( 0.05, 0.27, 5.48) +TGeoTessellated 1267 Local ( 0.04, 0.19, 5.50) Global ( 0.04, 0.19, 5.50) +TGeoTessellated 1268 Local ( 0.08, 0.19, 5.50) Global ( 0.08, 0.19, 5.50) +TGeoTessellated 1269 Local ( 0.09, 0.26, 5.48) Global ( 0.09, 0.26, 5.48) +TGeoTessellated 1270 Local ( 0.10, 0.32, 5.44) Global ( 0.10, 0.32, 5.44) +TGeoTessellated 1271 Local ( 0.05, 0.34, 5.44) Global ( 0.05, 0.34, 5.44) +TGeoTessellated 1272 Local ( 0.00, 0.34, 5.44) Global ( 0.00, 0.34, 5.44) +TGeoTessellated 1273 Local ( 0.00, 0.27, 5.48) Global ( 0.00, 0.27, 5.48) +TGeoTessellated 1274 Local ( 0.00, 0.20, 5.51) Global ( 0.00, 0.20, 5.51) +TGeoTessellated 1275 Local ( 0.03, 0.12, 5.52) Global ( 0.03, 0.12, 5.52) +TGeoTessellated 1276 Local ( 0.07, 0.11, 5.52) Global ( 0.07, 0.11, 5.52) +TGeoTessellated 1277 Local ( 0.00, 0.12, 5.52) Global ( 0.00, 0.12, 5.52) +TGeoTessellated 1278 Local ( 0.00, 0.04, 5.52) Global ( 0.00, 0.04, 5.52) +TGeoTessellated 1279 Local ( 0.03, 0.04, 5.52) Global ( 0.03, 0.04, 5.52) +TGeoTessellated 1280 Local ( 0.06, 0.04, 5.52) Global ( 0.06, 0.04, 5.52) +TGeoTessellated 1281 Local ( 0.10, 0.10, 5.51) Global ( 0.10, 0.10, 5.51) +TGeoTessellated 1282 Local ( 0.12, 0.17, 5.50) Global ( 0.12, 0.17, 5.50) +TGeoTessellated 1283 Local ( 0.09, 0.03, 5.52) Global ( 0.09, 0.03, 5.52) +TGeoTessellated 1284 Local ( 0.13, 0.24, 5.47) Global ( 0.13, 0.24, 5.47) +TGeoTessellated 1285 Local ( 0.15, 0.30, 5.44) Global ( 0.15, 0.30, 5.44) +TGeoTessellated 1286 Local ( 0.02, -0.04, 5.51) Global ( 0.02, -0.04, 5.51) +TGeoTessellated 1287 Local ( 0.02, -0.11, 5.49) Global ( 0.02, -0.11, 5.49) +TGeoTessellated 1288 Local ( 0.05, -0.11, 5.49) Global ( 0.05, -0.11, 5.49) +TGeoTessellated 1289 Local ( 0.05, -0.04, 5.51) Global ( 0.05, -0.04, 5.51) +TGeoTessellated 1290 Local ( 0.00, -0.04, 5.51) Global ( 0.00, -0.04, 5.51) +TGeoTessellated 1291 Local ( 0.00, -0.11, 5.49) Global ( 0.00, -0.11, 5.49) +TGeoTessellated 1292 Local ( 0.02, -0.19, 5.47) Global ( 0.02, -0.19, 5.47) +TGeoTessellated 1293 Local ( 0.05, -0.18, 5.46) Global ( 0.05, -0.18, 5.46) +TGeoTessellated 1294 Local ( 0.00, -0.19, 5.47) Global ( 0.00, -0.19, 5.47) +TGeoTessellated 1295 Local ( 0.00, -0.25, 5.43) Global ( 0.00, -0.25, 5.43) +TGeoTessellated 1296 Local ( 0.02, -0.25, 5.43) Global ( 0.02, -0.25, 5.43) +TGeoTessellated 1297 Local ( 0.05, -0.25, 5.43) Global ( 0.05, -0.25, 5.43) +TGeoTessellated 1298 Local ( 0.08, -0.18, 5.46) Global ( 0.08, -0.18, 5.46) +TGeoTessellated 1299 Local ( 0.08, -0.11, 5.49) Global ( 0.08, -0.11, 5.49) +TGeoTessellated 1300 Local ( 0.08, -0.24, 5.43) Global ( 0.08, -0.24, 5.43) +TGeoTessellated 1301 Local ( 0.08, -0.04, 5.51) Global ( 0.08, -0.04, 5.51) +TGeoTessellated 1302 Local ( 0.09, -0.23, 4.22) Global ( 0.09, -0.23, 4.22) +TGeoTessellated 1303 Local ( 0.08, -0.28, 4.23) Global ( 0.08, -0.28, 4.23) +TGeoTessellated 1304 Local ( 0.05, -0.30, 4.22) Global ( 0.05, -0.30, 4.22) +TGeoTessellated 1305 Local ( 0.06, -0.25, 4.21) Global ( 0.06, -0.25, 4.21) +TGeoTessellated 1306 Local ( 0.06, -0.20, 4.20) Global ( 0.06, -0.20, 4.20) +TGeoTessellated 1307 Local ( 0.10, -0.19, 4.21) Global ( 0.10, -0.19, 4.21) +TGeoTessellated 1308 Local ( 0.14, -0.17, 4.22) Global ( 0.14, -0.17, 4.22) +TGeoTessellated 1309 Local ( 0.12, -0.21, 4.23) Global ( 0.12, -0.21, 4.23) +TGeoTessellated 1310 Local ( 0.11, -0.26, 4.24) Global ( 0.11, -0.26, 4.24) +TGeoTessellated 1311 Local ( 0.08, -0.34, 4.23) Global ( 0.08, -0.34, 4.23) +TGeoTessellated 1312 Local ( 0.05, -0.35, 4.22) Global ( 0.05, -0.35, 4.22) +TGeoTessellated 1313 Local ( 0.11, -0.31, 4.24) Global ( 0.11, -0.31, 4.24) +TGeoTessellated 1314 Local ( 0.10, -0.36, 4.24) Global ( 0.10, -0.36, 4.24) +TGeoTessellated 1315 Local ( 0.07, -0.38, 4.22) Global ( 0.07, -0.38, 4.22) +TGeoTessellated 1316 Local ( 0.05, -0.40, 4.22) Global ( 0.05, -0.40, 4.22) +TGeoTessellated 1317 Local ( 0.02, -0.36, 4.21) Global ( 0.02, -0.36, 4.21) +TGeoTessellated 1318 Local ( 0.02, -0.31, 4.21) Global ( 0.02, -0.31, 4.21) +TGeoTessellated 1319 Local ( 0.02, -0.41, 4.21) Global ( 0.02, -0.41, 4.21) +TGeoTessellated 1320 Local ( 0.00, -0.41, 4.21) Global ( 0.00, -0.41, 4.21) +TGeoTessellated 1321 Local ( 0.00, -0.37, 4.21) Global ( 0.00, -0.37, 4.21) +TGeoTessellated 1322 Local ( 0.00, -0.31, 4.21) Global ( 0.00, -0.31, 4.21) +TGeoTessellated 1323 Local ( 0.03, -0.26, 4.21) Global ( 0.03, -0.26, 4.21) +TGeoTessellated 1324 Local ( 0.00, -0.26, 4.21) Global ( 0.00, -0.26, 4.21) +TGeoTessellated 1325 Local ( -0.00, -0.21, 4.20) Global ( -0.00, -0.21, 4.20) +TGeoTessellated 1326 Local ( 0.03, -0.21, 4.20) Global ( 0.03, -0.21, 4.20) +TGeoTessellated 1327 Local ( 0.25, -0.12, 4.27) Global ( 0.25, -0.12, 4.27) +TGeoTessellated 1328 Local ( 0.24, -0.16, 4.29) Global ( 0.24, -0.16, 4.29) +TGeoTessellated 1329 Local ( 0.20, -0.20, 4.27) Global ( 0.20, -0.20, 4.27) +TGeoTessellated 1330 Local ( 0.21, -0.15, 4.26) Global ( 0.21, -0.15, 4.26) +TGeoTessellated 1331 Local ( 0.22, -0.12, 4.24) Global ( 0.22, -0.12, 4.24) +TGeoTessellated 1332 Local ( 0.26, -0.09, 4.25) Global ( 0.26, -0.09, 4.25) +TGeoTessellated 1333 Local ( 0.30, -0.05, 4.27) Global ( 0.30, -0.05, 4.27) +TGeoTessellated 1334 Local ( 0.29, -0.08, 4.29) Global ( 0.29, -0.08, 4.29) +TGeoTessellated 1335 Local ( 0.29, -0.11, 4.32) Global ( 0.29, -0.11, 4.32) +TGeoTessellated 1336 Local ( 0.23, -0.20, 4.30) Global ( 0.23, -0.20, 4.30) +TGeoTessellated 1337 Local ( 0.19, -0.24, 4.27) Global ( 0.19, -0.24, 4.27) +TGeoTessellated 1338 Local ( 0.28, -0.15, 4.33) Global ( 0.28, -0.15, 4.33) +TGeoTessellated 1339 Local ( 0.28, -0.18, 4.34) Global ( 0.28, -0.18, 4.34) +TGeoTessellated 1340 Local ( 0.23, -0.23, 4.31) Global ( 0.23, -0.23, 4.31) +TGeoTessellated 1341 Local ( 0.18, -0.28, 4.28) Global ( 0.18, -0.28, 4.28) +TGeoTessellated 1342 Local ( 0.15, -0.28, 4.25) Global ( 0.15, -0.28, 4.25) +TGeoTessellated 1343 Local ( 0.15, -0.23, 4.25) Global ( 0.15, -0.23, 4.25) +TGeoTessellated 1344 Local ( 0.14, -0.32, 4.25) Global ( 0.14, -0.32, 4.25) +TGeoTessellated 1345 Local ( 0.17, -0.18, 4.24) Global ( 0.17, -0.18, 4.24) +TGeoTessellated 1346 Local ( 0.18, -0.14, 4.23) Global ( 0.18, -0.14, 4.23) +TGeoTessellated 1347 Local ( 0.06, 0.49, 4.42) Global ( 0.06, 0.49, 4.42) +TGeoTessellated 1348 Local ( 0.06, 0.52, 4.47) Global ( 0.06, 0.52, 4.47) +TGeoTessellated 1349 Local ( 0.12, 0.50, 4.48) Global ( 0.12, 0.50, 4.48) +TGeoTessellated 1350 Local ( 0.12, 0.48, 4.43) Global ( 0.12, 0.48, 4.43) +TGeoTessellated 1351 Local ( 0.12, 0.46, 4.38) Global ( 0.12, 0.46, 4.38) +TGeoTessellated 1352 Local ( 0.06, 0.47, 4.38) Global ( 0.06, 0.47, 4.38) +TGeoTessellated 1353 Local ( 0.00, 0.47, 4.38) Global ( 0.00, 0.47, 4.38) +TGeoTessellated 1354 Local ( 0.00, 0.50, 4.42) Global ( 0.00, 0.50, 4.42) +TGeoTessellated 1355 Local ( 0.00, 0.52, 4.47) Global ( 0.00, 0.52, 4.47) +TGeoTessellated 1356 Local ( 0.06, 0.55, 4.53) Global ( 0.06, 0.55, 4.53) +TGeoTessellated 1357 Local ( 0.13, 0.53, 4.53) Global ( 0.13, 0.53, 4.53) +TGeoTessellated 1358 Local ( 0.00, 0.55, 4.53) Global ( 0.00, 0.55, 4.53) +TGeoTessellated 1359 Local ( -0.00, 0.58, 4.59) Global ( -0.00, 0.58, 4.59) +TGeoTessellated 1360 Local ( 0.06, 0.58, 4.59) Global ( 0.06, 0.58, 4.59) +TGeoTessellated 1361 Local ( 0.13, 0.56, 4.60) Global ( 0.13, 0.56, 4.60) +TGeoTessellated 1362 Local ( 0.18, 0.50, 4.54) Global ( 0.18, 0.50, 4.54) +TGeoTessellated 1363 Local ( 0.18, 0.48, 4.48) Global ( 0.18, 0.48, 4.48) +TGeoTessellated 1364 Local ( 0.19, 0.52, 4.60) Global ( 0.19, 0.52, 4.60) +TGeoTessellated 1365 Local ( 0.24, 0.49, 4.61) Global ( 0.24, 0.49, 4.61) +TGeoTessellated 1366 Local ( 0.24, 0.47, 4.55) Global ( 0.24, 0.47, 4.55) +TGeoTessellated 1367 Local ( 0.23, 0.45, 4.49) Global ( 0.23, 0.45, 4.49) +TGeoTessellated 1368 Local ( 0.18, 0.46, 4.43) Global ( 0.18, 0.46, 4.43) +TGeoTessellated 1369 Local ( 0.23, 0.43, 4.44) Global ( 0.23, 0.43, 4.44) +TGeoTessellated 1370 Local ( 0.23, 0.42, 4.39) Global ( 0.23, 0.42, 4.39) +TGeoTessellated 1371 Local ( 0.18, 0.44, 4.39) Global ( 0.18, 0.44, 4.39) +TGeoTessellated 1372 Local ( 0.06, 0.60, 4.67) Global ( 0.06, 0.60, 4.67) +TGeoTessellated 1373 Local ( 0.06, 0.62, 4.75) Global ( 0.06, 0.62, 4.75) +TGeoTessellated 1374 Local ( 0.13, 0.60, 4.76) Global ( 0.13, 0.60, 4.76) +TGeoTessellated 1375 Local ( 0.13, 0.58, 4.67) Global ( 0.13, 0.58, 4.67) +TGeoTessellated 1376 Local ( 0.00, 0.61, 4.67) Global ( 0.00, 0.61, 4.67) +TGeoTessellated 1377 Local ( 0.00, 0.62, 4.75) Global ( 0.00, 0.62, 4.75) +TGeoTessellated 1378 Local ( 0.07, 0.63, 4.84) Global ( 0.07, 0.63, 4.84) +TGeoTessellated 1379 Local ( 0.13, 0.61, 4.84) Global ( 0.13, 0.61, 4.84) +TGeoTessellated 1380 Local ( 0.00, 0.63, 4.84) Global ( 0.00, 0.63, 4.84) +TGeoTessellated 1381 Local ( 0.00, 0.64, 4.93) Global ( 0.00, 0.64, 4.93) +TGeoTessellated 1382 Local ( 0.07, 0.63, 4.93) Global ( 0.07, 0.63, 4.93) +TGeoTessellated 1383 Local ( 0.13, 0.61, 4.93) Global ( 0.13, 0.61, 4.93) +TGeoTessellated 1384 Local ( 0.19, 0.57, 4.85) Global ( 0.19, 0.57, 4.85) +TGeoTessellated 1385 Local ( 0.19, 0.56, 4.76) Global ( 0.19, 0.56, 4.76) +TGeoTessellated 1386 Local ( 0.19, 0.58, 4.93) Global ( 0.19, 0.58, 4.93) +TGeoTessellated 1387 Local ( 0.25, 0.53, 4.93) Global ( 0.25, 0.53, 4.93) +TGeoTessellated 1388 Local ( 0.25, 0.53, 4.85) Global ( 0.25, 0.53, 4.85) +TGeoTessellated 1389 Local ( 0.25, 0.52, 4.77) Global ( 0.25, 0.52, 4.77) +TGeoTessellated 1390 Local ( 0.19, 0.55, 4.68) Global ( 0.19, 0.55, 4.68) +TGeoTessellated 1391 Local ( 0.25, 0.50, 4.68) Global ( 0.25, 0.50, 4.68) +TGeoTessellated 1392 Local ( 0.07, 0.62, 5.01) Global ( 0.07, 0.62, 5.01) +TGeoTessellated 1393 Local ( 0.07, 0.61, 5.08) Global ( 0.07, 0.61, 5.08) +TGeoTessellated 1394 Local ( 0.13, 0.59, 5.08) Global ( 0.13, 0.59, 5.08) +TGeoTessellated 1395 Local ( 0.13, 0.60, 5.01) Global ( 0.13, 0.60, 5.01) +TGeoTessellated 1396 Local ( 0.00, 0.63, 5.01) Global ( 0.00, 0.63, 5.01) +TGeoTessellated 1397 Local ( 0.00, 0.62, 5.08) Global ( 0.00, 0.62, 5.08) +TGeoTessellated 1398 Local ( 0.07, 0.59, 5.15) Global ( 0.07, 0.59, 5.15) +TGeoTessellated 1399 Local ( 0.13, 0.56, 5.15) Global ( 0.13, 0.56, 5.15) +TGeoTessellated 1400 Local ( 0.00, 0.59, 5.15) Global ( 0.00, 0.59, 5.15) +TGeoTessellated 1401 Local ( 0.00, 0.56, 5.22) Global ( 0.00, 0.56, 5.22) +TGeoTessellated 1402 Local ( 0.06, 0.55, 5.22) Global ( 0.06, 0.55, 5.22) +TGeoTessellated 1403 Local ( 0.13, 0.53, 5.22) Global ( 0.13, 0.53, 5.22) +TGeoTessellated 1404 Local ( 0.19, 0.53, 5.15) Global ( 0.19, 0.53, 5.15) +TGeoTessellated 1405 Local ( 0.19, 0.55, 5.08) Global ( 0.19, 0.55, 5.08) +TGeoTessellated 1406 Local ( 0.19, 0.50, 5.21) Global ( 0.19, 0.50, 5.21) +TGeoTessellated 1407 Local ( 0.24, 0.46, 5.21) Global ( 0.24, 0.46, 5.21) +TGeoTessellated 1408 Local ( 0.24, 0.49, 5.15) Global ( 0.24, 0.49, 5.15) +TGeoTessellated 1409 Local ( 0.25, 0.51, 5.08) Global ( 0.25, 0.51, 5.08) +TGeoTessellated 1410 Local ( 0.19, 0.57, 5.01) Global ( 0.19, 0.57, 5.01) +TGeoTessellated 1411 Local ( 0.25, 0.52, 5.01) Global ( 0.25, 0.52, 5.01) +TGeoTessellated 1412 Local ( 0.06, 0.51, 5.28) Global ( 0.06, 0.51, 5.28) +TGeoTessellated 1413 Local ( 0.06, 0.46, 5.34) Global ( 0.06, 0.46, 5.34) +TGeoTessellated 1414 Local ( 0.12, 0.44, 5.34) Global ( 0.12, 0.44, 5.34) +TGeoTessellated 1415 Local ( 0.12, 0.49, 5.28) Global ( 0.12, 0.49, 5.28) +TGeoTessellated 1416 Local ( 0.00, 0.52, 5.28) Global ( 0.00, 0.52, 5.28) +TGeoTessellated 1417 Local ( 0.00, 0.47, 5.34) Global ( 0.00, 0.47, 5.34) +TGeoTessellated 1418 Local ( 0.06, 0.40, 5.39) Global ( 0.06, 0.40, 5.39) +TGeoTessellated 1419 Local ( 0.11, 0.39, 5.39) Global ( 0.11, 0.39, 5.39) +TGeoTessellated 1420 Local ( 0.00, 0.41, 5.40) Global ( 0.00, 0.41, 5.40) +TGeoTessellated 1421 Local ( 0.16, 0.36, 5.39) Global ( 0.16, 0.36, 5.39) +TGeoTessellated 1422 Local ( 0.17, 0.41, 5.34) Global ( 0.17, 0.41, 5.34) +TGeoTessellated 1423 Local ( 0.21, 0.33, 5.39) Global ( 0.21, 0.33, 5.39) +TGeoTessellated 1424 Local ( 0.22, 0.38, 5.33) Global ( 0.22, 0.38, 5.33) +TGeoTessellated 1425 Local ( 0.18, 0.46, 5.28) Global ( 0.18, 0.46, 5.28) +TGeoTessellated 1426 Local ( 0.23, 0.42, 5.27) Global ( 0.23, 0.42, 5.27) +TGeoTessellated 1427 Local ( 0.27, 0.40, 4.44) Global ( 0.27, 0.40, 4.44) +TGeoTessellated 1428 Local ( 0.27, 0.41, 4.49) Global ( 0.27, 0.41, 4.49) +TGeoTessellated 1429 Local ( 0.31, 0.37, 4.49) Global ( 0.31, 0.37, 4.49) +TGeoTessellated 1430 Local ( 0.30, 0.37, 4.44) Global ( 0.30, 0.37, 4.44) +TGeoTessellated 1431 Local ( 0.29, 0.36, 4.38) Global ( 0.29, 0.36, 4.38) +TGeoTessellated 1432 Local ( 0.26, 0.39, 4.39) Global ( 0.26, 0.39, 4.39) +TGeoTessellated 1433 Local ( 0.28, 0.43, 4.55) Global ( 0.28, 0.43, 4.55) +TGeoTessellated 1434 Local ( 0.32, 0.38, 4.56) Global ( 0.32, 0.38, 4.56) +TGeoTessellated 1435 Local ( 0.29, 0.44, 4.62) Global ( 0.29, 0.44, 4.62) +TGeoTessellated 1436 Local ( 0.33, 0.39, 4.62) Global ( 0.33, 0.39, 4.62) +TGeoTessellated 1437 Local ( 0.36, 0.34, 4.56) Global ( 0.36, 0.34, 4.56) +TGeoTessellated 1438 Local ( 0.34, 0.33, 4.49) Global ( 0.34, 0.33, 4.49) +TGeoTessellated 1439 Local ( 0.37, 0.34, 4.63) Global ( 0.37, 0.34, 4.63) +TGeoTessellated 1440 Local ( 0.40, 0.29, 4.63) Global ( 0.40, 0.29, 4.63) +TGeoTessellated 1441 Local ( 0.39, 0.29, 4.56) Global ( 0.39, 0.29, 4.56) +TGeoTessellated 1442 Local ( 0.37, 0.29, 4.49) Global ( 0.37, 0.29, 4.49) +TGeoTessellated 1443 Local ( 0.33, 0.33, 4.43) Global ( 0.33, 0.33, 4.43) +TGeoTessellated 1444 Local ( 0.35, 0.29, 4.43) Global ( 0.35, 0.29, 4.43) +TGeoTessellated 1445 Local ( 0.34, 0.29, 4.37) Global ( 0.34, 0.29, 4.37) +TGeoTessellated 1446 Local ( 0.32, 0.33, 4.38) Global ( 0.32, 0.33, 4.38) +TGeoTessellated 1447 Local ( 0.30, 0.46, 4.69) Global ( 0.30, 0.46, 4.69) +TGeoTessellated 1448 Local ( 0.30, 0.47, 4.77) Global ( 0.30, 0.47, 4.77) +TGeoTessellated 1449 Local ( 0.35, 0.41, 4.77) Global ( 0.35, 0.41, 4.77) +TGeoTessellated 1450 Local ( 0.34, 0.40, 4.70) Global ( 0.34, 0.40, 4.70) +TGeoTessellated 1451 Local ( 0.30, 0.47, 4.85) Global ( 0.30, 0.47, 4.85) +TGeoTessellated 1452 Local ( 0.35, 0.41, 4.85) Global ( 0.35, 0.41, 4.85) +TGeoTessellated 1453 Local ( 0.30, 0.47, 4.93) Global ( 0.30, 0.47, 4.93) +TGeoTessellated 1454 Local ( 0.35, 0.41, 4.93) Global ( 0.35, 0.41, 4.93) +TGeoTessellated 1455 Local ( 0.39, 0.34, 4.85) Global ( 0.39, 0.34, 4.85) +TGeoTessellated 1456 Local ( 0.39, 0.35, 4.78) Global ( 0.39, 0.35, 4.78) +TGeoTessellated 1457 Local ( 0.39, 0.34, 4.93) Global ( 0.39, 0.34, 4.93) +TGeoTessellated 1458 Local ( 0.42, 0.28, 4.92) Global ( 0.42, 0.28, 4.92) +TGeoTessellated 1459 Local ( 0.42, 0.28, 4.85) Global ( 0.42, 0.28, 4.85) +TGeoTessellated 1460 Local ( 0.42, 0.28, 4.78) Global ( 0.42, 0.28, 4.78) +TGeoTessellated 1461 Local ( 0.38, 0.34, 4.70) Global ( 0.38, 0.34, 4.70) +TGeoTessellated 1462 Local ( 0.42, 0.29, 4.70) Global ( 0.42, 0.29, 4.70) +TGeoTessellated 1463 Local ( 0.30, 0.47, 5.00) Global ( 0.30, 0.47, 5.00) +TGeoTessellated 1464 Local ( 0.30, 0.45, 5.07) Global ( 0.30, 0.45, 5.07) +TGeoTessellated 1465 Local ( 0.34, 0.39, 5.07) Global ( 0.34, 0.39, 5.07) +TGeoTessellated 1466 Local ( 0.34, 0.40, 5.00) Global ( 0.34, 0.40, 5.00) +TGeoTessellated 1467 Local ( 0.29, 0.43, 5.14) Global ( 0.29, 0.43, 5.14) +TGeoTessellated 1468 Local ( 0.33, 0.37, 5.14) Global ( 0.33, 0.37, 5.14) +TGeoTessellated 1469 Local ( 0.28, 0.41, 5.21) Global ( 0.28, 0.41, 5.21) +TGeoTessellated 1470 Local ( 0.32, 0.35, 5.20) Global ( 0.32, 0.35, 5.20) +TGeoTessellated 1471 Local ( 0.36, 0.31, 5.13) Global ( 0.36, 0.31, 5.13) +TGeoTessellated 1472 Local ( 0.38, 0.32, 5.07) Global ( 0.38, 0.32, 5.07) +TGeoTessellated 1473 Local ( 0.35, 0.29, 5.20) Global ( 0.35, 0.29, 5.20) +TGeoTessellated 1474 Local ( 0.38, 0.24, 5.20) Global ( 0.38, 0.24, 5.20) +TGeoTessellated 1475 Local ( 0.39, 0.25, 5.13) Global ( 0.39, 0.25, 5.13) +TGeoTessellated 1476 Local ( 0.41, 0.26, 5.06) Global ( 0.41, 0.26, 5.06) +TGeoTessellated 1477 Local ( 0.38, 0.33, 5.00) Global ( 0.38, 0.33, 5.00) +TGeoTessellated 1478 Local ( 0.42, 0.27, 4.99) Global ( 0.42, 0.27, 4.99) +TGeoTessellated 1479 Local ( 0.27, 0.38, 5.27) Global ( 0.27, 0.38, 5.27) +TGeoTessellated 1480 Local ( 0.26, 0.34, 5.33) Global ( 0.26, 0.34, 5.33) +TGeoTessellated 1481 Local ( 0.29, 0.30, 5.33) Global ( 0.29, 0.30, 5.33) +TGeoTessellated 1482 Local ( 0.31, 0.33, 5.27) Global ( 0.31, 0.33, 5.27) +TGeoTessellated 1483 Local ( 0.24, 0.30, 5.38) Global ( 0.24, 0.30, 5.38) +TGeoTessellated 1484 Local ( 0.27, 0.27, 5.38) Global ( 0.27, 0.27, 5.38) +TGeoTessellated 1485 Local ( 0.30, 0.24, 5.38) Global ( 0.30, 0.24, 5.38) +TGeoTessellated 1486 Local ( 0.32, 0.26, 5.33) Global ( 0.32, 0.26, 5.33) +TGeoTessellated 1487 Local ( 0.32, 0.20, 5.37) Global ( 0.32, 0.20, 5.37) +TGeoTessellated 1488 Local ( 0.34, 0.21, 5.32) Global ( 0.34, 0.21, 5.32) +TGeoTessellated 1489 Local ( 0.33, 0.28, 5.27) Global ( 0.33, 0.28, 5.27) +TGeoTessellated 1490 Local ( 0.36, 0.23, 5.26) Global ( 0.36, 0.23, 5.26) +TGeoTessellated 1491 Local ( 0.38, 0.05, 4.37) Global ( 0.38, 0.05, 4.37) +TGeoTessellated 1492 Local ( 0.39, 0.04, 4.42) Global ( 0.39, 0.04, 4.42) +TGeoTessellated 1493 Local ( 0.36, -0.01, 4.38) Global ( 0.36, -0.01, 4.38) +TGeoTessellated 1494 Local ( 0.36, 0.01, 4.34) Global ( 0.36, 0.01, 4.34) +TGeoTessellated 1495 Local ( 0.36, 0.03, 4.30) Global ( 0.36, 0.03, 4.30) +TGeoTessellated 1496 Local ( 0.37, 0.07, 4.32) Global ( 0.37, 0.07, 4.32) +TGeoTessellated 1497 Local ( 0.38, 0.11, 4.33) Global ( 0.38, 0.11, 4.33) +TGeoTessellated 1498 Local ( 0.39, 0.10, 4.39) Global ( 0.39, 0.10, 4.39) +TGeoTessellated 1499 Local ( 0.41, 0.09, 4.45) Global ( 0.41, 0.09, 4.45) +TGeoTessellated 1500 Local ( 0.41, 0.02, 4.47) Global ( 0.41, 0.02, 4.47) +TGeoTessellated 1501 Local ( 0.37, -0.04, 4.42) Global ( 0.37, -0.04, 4.42) +TGeoTessellated 1502 Local ( 0.43, 0.08, 4.51) Global ( 0.43, 0.08, 4.51) +TGeoTessellated 1503 Local ( 0.46, 0.07, 4.59) Global ( 0.46, 0.07, 4.59) +TGeoTessellated 1504 Local ( 0.42, 0.00, 4.51) Global ( 0.42, 0.00, 4.51) +TGeoTessellated 1505 Local ( 0.38, -0.06, 4.45) Global ( 0.38, -0.06, 4.45) +TGeoTessellated 1506 Local ( 0.33, -0.10, 4.37) Global ( 0.33, -0.10, 4.37) +TGeoTessellated 1507 Local ( 0.33, -0.07, 4.35) Global ( 0.33, -0.07, 4.35) +TGeoTessellated 1508 Local ( 0.33, -0.12, 4.39) Global ( 0.33, -0.12, 4.39) +TGeoTessellated 1509 Local ( 0.33, -0.04, 4.32) Global ( 0.33, -0.04, 4.32) +TGeoTessellated 1510 Local ( 0.33, -0.01, 4.28) Global ( 0.33, -0.01, 4.28) +TGeoTessellated 1511 Local ( 0.37, 0.25, 4.42) Global ( 0.37, 0.25, 4.42) +TGeoTessellated 1512 Local ( 0.39, 0.24, 4.49) Global ( 0.39, 0.24, 4.49) +TGeoTessellated 1513 Local ( 0.41, 0.19, 4.48) Global ( 0.41, 0.19, 4.48) +TGeoTessellated 1514 Local ( 0.39, 0.20, 4.41) Global ( 0.39, 0.20, 4.41) +TGeoTessellated 1515 Local ( 0.37, 0.21, 4.35) Global ( 0.37, 0.21, 4.35) +TGeoTessellated 1516 Local ( 0.36, 0.25, 4.36) Global ( 0.36, 0.25, 4.36) +TGeoTessellated 1517 Local ( 0.41, 0.24, 4.56) Global ( 0.41, 0.24, 4.56) +TGeoTessellated 1518 Local ( 0.43, 0.19, 4.55) Global ( 0.43, 0.19, 4.55) +TGeoTessellated 1519 Local ( 0.43, 0.24, 4.63) Global ( 0.43, 0.24, 4.63) +TGeoTessellated 1520 Local ( 0.45, 0.18, 4.62) Global ( 0.45, 0.18, 4.62) +TGeoTessellated 1521 Local ( 0.44, 0.14, 4.54) Global ( 0.44, 0.14, 4.54) +TGeoTessellated 1522 Local ( 0.41, 0.14, 4.47) Global ( 0.41, 0.14, 4.47) +TGeoTessellated 1523 Local ( 0.46, 0.13, 4.61) Global ( 0.46, 0.13, 4.61) +TGeoTessellated 1524 Local ( 0.39, 0.15, 4.40) Global ( 0.39, 0.15, 4.40) +TGeoTessellated 1525 Local ( 0.38, 0.16, 4.35) Global ( 0.38, 0.16, 4.35) +TGeoTessellated 1526 Local ( 0.44, 0.23, 4.70) Global ( 0.44, 0.23, 4.70) +TGeoTessellated 1527 Local ( 0.45, 0.23, 4.78) Global ( 0.45, 0.23, 4.78) +TGeoTessellated 1528 Local ( 0.47, 0.18, 4.77) Global ( 0.47, 0.18, 4.77) +TGeoTessellated 1529 Local ( 0.46, 0.18, 4.70) Global ( 0.46, 0.18, 4.70) +TGeoTessellated 1530 Local ( 0.45, 0.22, 4.85) Global ( 0.45, 0.22, 4.85) +TGeoTessellated 1531 Local ( 0.47, 0.17, 4.85) Global ( 0.47, 0.17, 4.85) +TGeoTessellated 1532 Local ( 0.45, 0.22, 4.92) Global ( 0.45, 0.22, 4.92) +TGeoTessellated 1533 Local ( 0.47, 0.16, 4.92) Global ( 0.47, 0.16, 4.92) +TGeoTessellated 1534 Local ( 0.49, 0.12, 4.84) Global ( 0.49, 0.12, 4.84) +TGeoTessellated 1535 Local ( 0.48, 0.13, 4.77) Global ( 0.48, 0.13, 4.77) +TGeoTessellated 1536 Local ( 0.49, 0.12, 4.92) Global ( 0.49, 0.12, 4.92) +TGeoTessellated 1537 Local ( 0.50, 0.08, 4.91) Global ( 0.50, 0.08, 4.91) +TGeoTessellated 1538 Local ( 0.50, 0.09, 4.84) Global ( 0.50, 0.09, 4.84) +TGeoTessellated 1539 Local ( 0.49, 0.09, 4.77) Global ( 0.49, 0.09, 4.77) +TGeoTessellated 1540 Local ( 0.47, 0.13, 4.69) Global ( 0.47, 0.13, 4.69) +TGeoTessellated 1541 Local ( 0.48, 0.08, 4.69) Global ( 0.48, 0.08, 4.69) +TGeoTessellated 1542 Local ( 0.44, 0.21, 4.99) Global ( 0.44, 0.21, 4.99) +TGeoTessellated 1543 Local ( 0.43, 0.20, 5.06) Global ( 0.43, 0.20, 5.06) +TGeoTessellated 1544 Local ( 0.46, 0.15, 5.06) Global ( 0.46, 0.15, 5.06) +TGeoTessellated 1545 Local ( 0.47, 0.16, 4.99) Global ( 0.47, 0.16, 4.99) +TGeoTessellated 1546 Local ( 0.42, 0.19, 5.13) Global ( 0.42, 0.19, 5.13) +TGeoTessellated 1547 Local ( 0.44, 0.14, 5.12) Global ( 0.44, 0.14, 5.12) +TGeoTessellated 1548 Local ( 0.40, 0.19, 5.19) Global ( 0.40, 0.19, 5.19) +TGeoTessellated 1549 Local ( 0.43, 0.14, 5.19) Global ( 0.43, 0.14, 5.19) +TGeoTessellated 1550 Local ( 0.46, 0.10, 5.12) Global ( 0.46, 0.10, 5.12) +TGeoTessellated 1551 Local ( 0.47, 0.11, 5.05) Global ( 0.47, 0.11, 5.05) +TGeoTessellated 1552 Local ( 0.44, 0.09, 5.19) Global ( 0.44, 0.09, 5.19) +TGeoTessellated 1553 Local ( 0.45, 0.05, 5.18) Global ( 0.45, 0.05, 5.18) +TGeoTessellated 1554 Local ( 0.47, 0.06, 5.11) Global ( 0.47, 0.06, 5.11) +TGeoTessellated 1555 Local ( 0.48, 0.07, 5.05) Global ( 0.48, 0.07, 5.05) +TGeoTessellated 1556 Local ( 0.48, 0.11, 4.98) Global ( 0.48, 0.11, 4.98) +TGeoTessellated 1557 Local ( 0.49, 0.07, 4.98) Global ( 0.49, 0.07, 4.98) +TGeoTessellated 1558 Local ( 0.38, 0.18, 5.26) Global ( 0.38, 0.18, 5.26) +TGeoTessellated 1559 Local ( 0.36, 0.17, 5.32) Global ( 0.36, 0.17, 5.32) +TGeoTessellated 1560 Local ( 0.38, 0.12, 5.32) Global ( 0.38, 0.12, 5.32) +TGeoTessellated 1561 Local ( 0.40, 0.13, 5.26) Global ( 0.40, 0.13, 5.26) +TGeoTessellated 1562 Local ( 0.33, 0.16, 5.37) Global ( 0.33, 0.16, 5.37) +TGeoTessellated 1563 Local ( 0.35, 0.12, 5.38) Global ( 0.35, 0.12, 5.38) +TGeoTessellated 1564 Local ( 0.36, 0.08, 5.38) Global ( 0.36, 0.08, 5.38) +TGeoTessellated 1565 Local ( 0.39, 0.08, 5.32) Global ( 0.39, 0.08, 5.32) +TGeoTessellated 1566 Local ( 0.37, 0.03, 5.37) Global ( 0.37, 0.03, 5.37) +TGeoTessellated 1567 Local ( 0.40, 0.04, 5.31) Global ( 0.40, 0.04, 5.31) +TGeoTessellated 1568 Local ( 0.42, 0.09, 5.25) Global ( 0.42, 0.09, 5.25) +TGeoTessellated 1569 Local ( 0.43, 0.05, 5.25) Global ( 0.43, 0.05, 5.25) +TGeoTessellated 1570 Local ( 0.06, -0.49, 4.86) Global ( 0.06, -0.49, 4.86) +TGeoTessellated 1571 Local ( 0.06, -0.48, 4.89) Global ( 0.06, -0.48, 4.89) +TGeoTessellated 1572 Local ( 0.04, -0.50, 4.89) Global ( 0.04, -0.50, 4.89) +TGeoTessellated 1573 Local ( 0.04, -0.51, 4.86) Global ( 0.04, -0.51, 4.86) +TGeoTessellated 1574 Local ( 0.04, -0.53, 4.83) Global ( 0.04, -0.53, 4.83) +TGeoTessellated 1575 Local ( 0.06, -0.50, 4.83) Global ( 0.06, -0.50, 4.83) +TGeoTessellated 1576 Local ( 0.10, -0.47, 4.83) Global ( 0.10, -0.47, 4.83) +TGeoTessellated 1577 Local ( 0.09, -0.46, 4.86) Global ( 0.09, -0.46, 4.86) +TGeoTessellated 1578 Local ( 0.09, -0.45, 4.88) Global ( 0.09, -0.45, 4.88) +TGeoTessellated 1579 Local ( 0.06, -0.47, 4.92) Global ( 0.06, -0.47, 4.92) +TGeoTessellated 1580 Local ( 0.03, -0.49, 4.92) Global ( 0.03, -0.49, 4.92) +TGeoTessellated 1581 Local ( 0.09, -0.45, 4.91) Global ( 0.09, -0.45, 4.91) +TGeoTessellated 1582 Local ( 0.09, -0.45, 4.95) Global ( 0.09, -0.45, 4.95) +TGeoTessellated 1583 Local ( 0.06, -0.47, 4.95) Global ( 0.06, -0.47, 4.95) +TGeoTessellated 1584 Local ( 0.03, -0.49, 4.95) Global ( 0.03, -0.49, 4.95) +TGeoTessellated 1585 Local ( 0.02, -0.51, 4.92) Global ( 0.02, -0.51, 4.92) +TGeoTessellated 1586 Local ( 0.02, -0.52, 4.89) Global ( 0.02, -0.52, 4.89) +TGeoTessellated 1587 Local ( 0.02, -0.50, 4.95) Global ( 0.02, -0.50, 4.95) +TGeoTessellated 1588 Local ( -0.00, -0.50, 4.95) Global ( -0.00, -0.50, 4.95) +TGeoTessellated 1589 Local ( 0.00, -0.51, 4.92) Global ( 0.00, -0.51, 4.92) +TGeoTessellated 1590 Local ( 0.00, -0.52, 4.89) Global ( 0.00, -0.52, 4.89) +TGeoTessellated 1591 Local ( 0.02, -0.53, 4.86) Global ( 0.02, -0.53, 4.86) +TGeoTessellated 1592 Local ( 0.00, -0.54, 4.86) Global ( 0.00, -0.54, 4.86) +TGeoTessellated 1593 Local ( 0.00, -0.55, 4.83) Global ( 0.00, -0.55, 4.83) +TGeoTessellated 1594 Local ( 0.02, -0.55, 4.83) Global ( 0.02, -0.55, 4.83) +TGeoTessellated 1595 Local ( 0.06, -0.47, 4.98) Global ( 0.06, -0.47, 4.98) +TGeoTessellated 1596 Local ( 0.07, -0.47, 5.01) Global ( 0.07, -0.47, 5.01) +TGeoTessellated 1597 Local ( 0.04, -0.49, 5.01) Global ( 0.04, -0.49, 5.01) +TGeoTessellated 1598 Local ( 0.04, -0.49, 4.98) Global ( 0.04, -0.49, 4.98) +TGeoTessellated 1599 Local ( 0.09, -0.45, 4.98) Global ( 0.09, -0.45, 4.98) +TGeoTessellated 1600 Local ( 0.10, -0.45, 5.01) Global ( 0.10, -0.45, 5.01) +TGeoTessellated 1601 Local ( 0.07, -0.47, 5.04) Global ( 0.07, -0.47, 5.04) +TGeoTessellated 1602 Local ( 0.04, -0.49, 5.04) Global ( 0.04, -0.49, 5.04) +TGeoTessellated 1603 Local ( 0.11, -0.45, 5.04) Global ( 0.11, -0.45, 5.04) +TGeoTessellated 1604 Local ( 0.11, -0.45, 5.06) Global ( 0.11, -0.45, 5.06) +TGeoTessellated 1605 Local ( 0.07, -0.48, 5.07) Global ( 0.07, -0.48, 5.07) +TGeoTessellated 1606 Local ( 0.04, -0.49, 5.07) Global ( 0.04, -0.49, 5.07) +TGeoTessellated 1607 Local ( 0.02, -0.50, 5.04) Global ( 0.02, -0.50, 5.04) +TGeoTessellated 1608 Local ( 0.02, -0.49, 5.02) Global ( 0.02, -0.49, 5.02) +TGeoTessellated 1609 Local ( 0.02, -0.50, 5.07) Global ( 0.02, -0.50, 5.07) +TGeoTessellated 1610 Local ( 0.00, -0.50, 5.07) Global ( 0.00, -0.50, 5.07) +TGeoTessellated 1611 Local ( 0.00, -0.50, 5.05) Global ( 0.00, -0.50, 5.05) +TGeoTessellated 1612 Local ( 0.00, -0.50, 5.02) Global ( 0.00, -0.50, 5.02) +TGeoTessellated 1613 Local ( 0.02, -0.49, 4.98) Global ( 0.02, -0.49, 4.98) +TGeoTessellated 1614 Local ( 0.00, -0.50, 4.98) Global ( 0.00, -0.50, 4.98) +TGeoTessellated 1615 Local ( 0.08, -0.48, 5.08) Global ( 0.08, -0.48, 5.08) +TGeoTessellated 1616 Local ( 0.08, -0.48, 5.10) Global ( 0.08, -0.48, 5.10) +TGeoTessellated 1617 Local ( 0.05, -0.50, 5.10) Global ( 0.05, -0.50, 5.10) +TGeoTessellated 1618 Local ( 0.05, -0.50, 5.09) Global ( 0.05, -0.50, 5.09) +TGeoTessellated 1619 Local ( 0.12, -0.46, 5.08) Global ( 0.12, -0.46, 5.08) +TGeoTessellated 1620 Local ( 0.12, -0.46, 5.10) Global ( 0.12, -0.46, 5.10) +TGeoTessellated 1621 Local ( 0.08, -0.48, 5.12) Global ( 0.08, -0.48, 5.12) +TGeoTessellated 1622 Local ( 0.05, -0.50, 5.12) Global ( 0.05, -0.50, 5.12) +TGeoTessellated 1623 Local ( 0.12, -0.46, 5.12) Global ( 0.12, -0.46, 5.12) +TGeoTessellated 1624 Local ( 0.12, -0.46, 5.14) Global ( 0.12, -0.46, 5.14) +TGeoTessellated 1625 Local ( 0.08, -0.48, 5.14) Global ( 0.08, -0.48, 5.14) +TGeoTessellated 1626 Local ( 0.05, -0.49, 5.14) Global ( 0.05, -0.49, 5.14) +TGeoTessellated 1627 Local ( 0.02, -0.50, 5.12) Global ( 0.02, -0.50, 5.12) +TGeoTessellated 1628 Local ( 0.02, -0.50, 5.10) Global ( 0.02, -0.50, 5.10) +TGeoTessellated 1629 Local ( 0.02, -0.49, 5.14) Global ( 0.02, -0.49, 5.14) +TGeoTessellated 1630 Local ( 0.00, -0.49, 5.14) Global ( 0.00, -0.49, 5.14) +TGeoTessellated 1631 Local ( 0.00, -0.50, 5.12) Global ( 0.00, -0.50, 5.12) +TGeoTessellated 1632 Local ( 0.00, -0.50, 5.10) Global ( 0.00, -0.50, 5.10) +TGeoTessellated 1633 Local ( 0.02, -0.50, 5.09) Global ( 0.02, -0.50, 5.09) +TGeoTessellated 1634 Local ( 0.00, -0.50, 5.09) Global ( 0.00, -0.50, 5.09) +TGeoTessellated 1635 Local ( 0.22, -0.36, 4.87) Global ( 0.22, -0.36, 4.87) +TGeoTessellated 1636 Local ( 0.22, -0.35, 4.89) Global ( 0.22, -0.35, 4.89) +TGeoTessellated 1637 Local ( 0.17, -0.39, 4.89) Global ( 0.17, -0.39, 4.89) +TGeoTessellated 1638 Local ( 0.18, -0.39, 4.86) Global ( 0.18, -0.39, 4.86) +TGeoTessellated 1639 Local ( 0.18, -0.39, 4.84) Global ( 0.18, -0.39, 4.84) +TGeoTessellated 1640 Local ( 0.22, -0.36, 4.84) Global ( 0.22, -0.36, 4.84) +TGeoTessellated 1641 Local ( 0.25, -0.34, 4.85) Global ( 0.25, -0.34, 4.85) +TGeoTessellated 1642 Local ( 0.26, -0.33, 4.87) Global ( 0.26, -0.33, 4.87) +TGeoTessellated 1643 Local ( 0.26, -0.33, 4.90) Global ( 0.26, -0.33, 4.90) +TGeoTessellated 1644 Local ( 0.22, -0.35, 4.92) Global ( 0.22, -0.35, 4.92) +TGeoTessellated 1645 Local ( 0.17, -0.38, 4.92) Global ( 0.17, -0.38, 4.92) +TGeoTessellated 1646 Local ( 0.25, -0.33, 4.92) Global ( 0.25, -0.33, 4.92) +TGeoTessellated 1647 Local ( 0.25, -0.33, 4.94) Global ( 0.25, -0.33, 4.94) +TGeoTessellated 1648 Local ( 0.22, -0.35, 4.94) Global ( 0.22, -0.35, 4.94) +TGeoTessellated 1649 Local ( 0.18, -0.38, 4.95) Global ( 0.18, -0.38, 4.95) +TGeoTessellated 1650 Local ( 0.13, -0.42, 4.91) Global ( 0.13, -0.42, 4.91) +TGeoTessellated 1651 Local ( 0.13, -0.42, 4.89) Global ( 0.13, -0.42, 4.89) +TGeoTessellated 1652 Local ( 0.13, -0.42, 4.95) Global ( 0.13, -0.42, 4.95) +TGeoTessellated 1653 Local ( 0.13, -0.42, 4.86) Global ( 0.13, -0.42, 4.86) +TGeoTessellated 1654 Local ( 0.14, -0.43, 4.83) Global ( 0.14, -0.43, 4.83) +TGeoTessellated 1655 Local ( 0.23, -0.35, 4.97) Global ( 0.23, -0.35, 4.97) +TGeoTessellated 1656 Local ( 0.25, -0.34, 5.00) Global ( 0.25, -0.34, 5.00) +TGeoTessellated 1657 Local ( 0.20, -0.38, 5.01) Global ( 0.20, -0.38, 5.01) +TGeoTessellated 1658 Local ( 0.19, -0.38, 4.98) Global ( 0.19, -0.38, 4.98) +TGeoTessellated 1659 Local ( 0.27, -0.32, 4.96) Global ( 0.27, -0.32, 4.96) +TGeoTessellated 1660 Local ( 0.29, -0.31, 4.98) Global ( 0.29, -0.31, 4.98) +TGeoTessellated 1661 Local ( 0.27, -0.32, 5.03) Global ( 0.27, -0.32, 5.03) +TGeoTessellated 1662 Local ( 0.21, -0.37, 5.04) Global ( 0.21, -0.37, 5.04) +TGeoTessellated 1663 Local ( 0.32, -0.28, 5.01) Global ( 0.32, -0.28, 5.01) +TGeoTessellated 1664 Local ( 0.36, -0.25, 5.06) Global ( 0.36, -0.25, 5.06) +TGeoTessellated 1665 Local ( 0.29, -0.32, 5.06) Global ( 0.29, -0.32, 5.06) +TGeoTessellated 1666 Local ( 0.23, -0.37, 5.06) Global ( 0.23, -0.37, 5.06) +TGeoTessellated 1667 Local ( 0.16, -0.41, 5.04) Global ( 0.16, -0.41, 5.04) +TGeoTessellated 1668 Local ( 0.15, -0.41, 5.01) Global ( 0.15, -0.41, 5.01) +TGeoTessellated 1669 Local ( 0.17, -0.42, 5.06) Global ( 0.17, -0.42, 5.06) +TGeoTessellated 1670 Local ( 0.14, -0.41, 4.98) Global ( 0.14, -0.41, 4.98) +TGeoTessellated 1671 Local ( 0.29, -0.32, 5.09) Global ( 0.29, -0.32, 5.09) +TGeoTessellated 1672 Local ( 0.28, -0.34, 5.11) Global ( 0.28, -0.34, 5.11) +TGeoTessellated 1673 Local ( 0.23, -0.38, 5.10) Global ( 0.23, -0.38, 5.10) +TGeoTessellated 1674 Local ( 0.23, -0.38, 5.08) Global ( 0.23, -0.38, 5.08) +TGeoTessellated 1675 Local ( 0.33, -0.28, 5.10) Global ( 0.33, -0.28, 5.10) +TGeoTessellated 1676 Local ( 0.32, -0.30, 5.13) Global ( 0.32, -0.30, 5.13) +TGeoTessellated 1677 Local ( 0.27, -0.35, 5.12) Global ( 0.27, -0.35, 5.12) +TGeoTessellated 1678 Local ( 0.22, -0.39, 5.12) Global ( 0.22, -0.39, 5.12) +TGeoTessellated 1679 Local ( 0.30, -0.32, 5.14) Global ( 0.30, -0.32, 5.14) +TGeoTessellated 1680 Local ( 0.29, -0.34, 5.15) Global ( 0.29, -0.34, 5.15) +TGeoTessellated 1681 Local ( 0.26, -0.36, 5.14) Global ( 0.26, -0.36, 5.14) +TGeoTessellated 1682 Local ( 0.22, -0.39, 5.14) Global ( 0.22, -0.39, 5.14) +TGeoTessellated 1683 Local ( 0.17, -0.43, 5.12) Global ( 0.17, -0.43, 5.12) +TGeoTessellated 1684 Local ( 0.17, -0.43, 5.10) Global ( 0.17, -0.43, 5.10) +TGeoTessellated 1685 Local ( 0.17, -0.43, 5.14) Global ( 0.17, -0.43, 5.14) +TGeoTessellated 1686 Local ( 0.17, -0.42, 5.08) Global ( 0.17, -0.42, 5.08) +TGeoTessellated 1687 Local ( 0.08, -0.47, 5.17) Global ( 0.08, -0.47, 5.17) +TGeoTessellated 1688 Local ( 0.08, -0.45, 5.20) Global ( 0.08, -0.45, 5.20) +TGeoTessellated 1689 Local ( 0.05, -0.46, 5.21) Global ( 0.05, -0.46, 5.21) +TGeoTessellated 1690 Local ( 0.05, -0.48, 5.17) Global ( 0.05, -0.48, 5.17) +TGeoTessellated 1691 Local ( 0.12, -0.45, 5.17) Global ( 0.12, -0.45, 5.17) +TGeoTessellated 1692 Local ( 0.12, -0.44, 5.20) Global ( 0.12, -0.44, 5.20) +TGeoTessellated 1693 Local ( 0.08, -0.43, 5.24) Global ( 0.08, -0.43, 5.24) +TGeoTessellated 1694 Local ( 0.05, -0.44, 5.25) Global ( 0.05, -0.44, 5.25) +TGeoTessellated 1695 Local ( 0.12, -0.42, 5.24) Global ( 0.12, -0.42, 5.24) +TGeoTessellated 1696 Local ( 0.12, -0.39, 5.28) Global ( 0.12, -0.39, 5.28) +TGeoTessellated 1697 Local ( 0.08, -0.40, 5.29) Global ( 0.08, -0.40, 5.29) +TGeoTessellated 1698 Local ( 0.05, -0.41, 5.29) Global ( 0.05, -0.41, 5.29) +TGeoTessellated 1699 Local ( 0.02, -0.44, 5.25) Global ( 0.02, -0.44, 5.25) +TGeoTessellated 1700 Local ( 0.02, -0.46, 5.21) Global ( 0.02, -0.46, 5.21) +TGeoTessellated 1701 Local ( 0.02, -0.41, 5.29) Global ( 0.02, -0.41, 5.29) +TGeoTessellated 1702 Local ( 0.00, -0.41, 5.29) Global ( 0.00, -0.41, 5.29) +TGeoTessellated 1703 Local ( 0.00, -0.44, 5.25) Global ( 0.00, -0.44, 5.25) +TGeoTessellated 1704 Local ( 0.00, -0.46, 5.21) Global ( 0.00, -0.46, 5.21) +TGeoTessellated 1705 Local ( 0.02, -0.48, 5.17) Global ( 0.02, -0.48, 5.17) +TGeoTessellated 1706 Local ( 0.00, -0.48, 5.17) Global ( 0.00, -0.48, 5.17) +TGeoTessellated 1707 Local ( 0.08, -0.37, 5.32) Global ( 0.08, -0.37, 5.32) +TGeoTessellated 1708 Local ( 0.08, -0.34, 5.36) Global ( 0.08, -0.34, 5.36) +TGeoTessellated 1709 Local ( 0.05, -0.34, 5.36) Global ( 0.05, -0.34, 5.36) +TGeoTessellated 1710 Local ( 0.05, -0.38, 5.33) Global ( 0.05, -0.38, 5.33) +TGeoTessellated 1711 Local ( 0.12, -0.36, 5.32) Global ( 0.12, -0.36, 5.32) +TGeoTessellated 1712 Local ( 0.12, -0.33, 5.35) Global ( 0.12, -0.33, 5.35) +TGeoTessellated 1713 Local ( 0.08, -0.29, 5.40) Global ( 0.08, -0.29, 5.40) +TGeoTessellated 1714 Local ( 0.05, -0.30, 5.40) Global ( 0.05, -0.30, 5.40) +TGeoTessellated 1715 Local ( 0.12, -0.28, 5.39) Global ( 0.12, -0.28, 5.39) +TGeoTessellated 1716 Local ( 0.02, -0.30, 5.40) Global ( 0.02, -0.30, 5.40) +TGeoTessellated 1717 Local ( 0.02, -0.34, 5.37) Global ( 0.02, -0.34, 5.37) +TGeoTessellated 1718 Local ( 0.00, -0.30, 5.40) Global ( 0.00, -0.30, 5.40) +TGeoTessellated 1719 Local ( 0.00, -0.34, 5.37) Global ( 0.00, -0.34, 5.37) +TGeoTessellated 1720 Local ( 0.02, -0.38, 5.33) Global ( 0.02, -0.38, 5.33) +TGeoTessellated 1721 Local ( 0.00, -0.38, 5.33) Global ( 0.00, -0.38, 5.33) +TGeoTessellated 1722 Local ( 0.26, -0.36, 5.16) Global ( 0.26, -0.36, 5.16) +TGeoTessellated 1723 Local ( 0.26, -0.35, 5.19) Global ( 0.26, -0.35, 5.19) +TGeoTessellated 1724 Local ( 0.21, -0.38, 5.20) Global ( 0.21, -0.38, 5.20) +TGeoTessellated 1725 Local ( 0.21, -0.39, 5.16) Global ( 0.21, -0.39, 5.16) +TGeoTessellated 1726 Local ( 0.29, -0.33, 5.17) Global ( 0.29, -0.33, 5.17) +TGeoTessellated 1727 Local ( 0.29, -0.32, 5.19) Global ( 0.29, -0.32, 5.19) +TGeoTessellated 1728 Local ( 0.25, -0.34, 5.23) Global ( 0.25, -0.34, 5.23) +TGeoTessellated 1729 Local ( 0.21, -0.37, 5.23) Global ( 0.21, -0.37, 5.23) +TGeoTessellated 1730 Local ( 0.28, -0.31, 5.23) Global ( 0.28, -0.31, 5.23) +TGeoTessellated 1731 Local ( 0.27, -0.31, 5.25) Global ( 0.27, -0.31, 5.25) +TGeoTessellated 1732 Local ( 0.25, -0.33, 5.26) Global ( 0.25, -0.33, 5.26) +TGeoTessellated 1733 Local ( 0.21, -0.35, 5.27) Global ( 0.21, -0.35, 5.27) +TGeoTessellated 1734 Local ( 0.16, -0.40, 5.24) Global ( 0.16, -0.40, 5.24) +TGeoTessellated 1735 Local ( 0.16, -0.41, 5.20) Global ( 0.16, -0.41, 5.20) +TGeoTessellated 1736 Local ( 0.16, -0.37, 5.27) Global ( 0.16, -0.37, 5.27) +TGeoTessellated 1737 Local ( 0.16, -0.42, 5.16) Global ( 0.16, -0.42, 5.16) +TGeoTessellated 1738 Local ( 0.25, -0.30, 5.29) Global ( 0.25, -0.30, 5.29) +TGeoTessellated 1739 Local ( 0.25, -0.27, 5.31) Global ( 0.25, -0.27, 5.31) +TGeoTessellated 1740 Local ( 0.21, -0.29, 5.33) Global ( 0.21, -0.29, 5.33) +TGeoTessellated 1741 Local ( 0.21, -0.32, 5.30) Global ( 0.21, -0.32, 5.30) +TGeoTessellated 1742 Local ( 0.28, -0.29, 5.26) Global ( 0.28, -0.29, 5.26) +TGeoTessellated 1743 Local ( 0.29, -0.26, 5.28) Global ( 0.29, -0.26, 5.28) +TGeoTessellated 1744 Local ( 0.26, -0.23, 5.34) Global ( 0.26, -0.23, 5.34) +TGeoTessellated 1745 Local ( 0.21, -0.25, 5.36) Global ( 0.21, -0.25, 5.36) +TGeoTessellated 1746 Local ( 0.30, -0.22, 5.30) Global ( 0.30, -0.22, 5.30) +TGeoTessellated 1747 Local ( 0.16, -0.27, 5.38) Global ( 0.16, -0.27, 5.38) +TGeoTessellated 1748 Local ( 0.16, -0.31, 5.35) Global ( 0.16, -0.31, 5.35) +TGeoTessellated 1749 Local ( 0.16, -0.34, 5.31) Global ( 0.16, -0.34, 5.31) +TGeoTessellated 1750 Local ( 0.09, -0.44, 4.29) Global ( 0.09, -0.44, 4.29) +TGeoTessellated 1751 Local ( 0.10, -0.44, 4.33) Global ( 0.10, -0.44, 4.33) +TGeoTessellated 1752 Local ( 0.06, -0.46, 4.32) Global ( 0.06, -0.46, 4.32) +TGeoTessellated 1753 Local ( 0.06, -0.45, 4.28) Global ( 0.06, -0.45, 4.28) +TGeoTessellated 1754 Local ( 0.05, -0.45, 4.25) Global ( 0.05, -0.45, 4.25) +TGeoTessellated 1755 Local ( 0.08, -0.43, 4.26) Global ( 0.08, -0.43, 4.26) +TGeoTessellated 1756 Local ( 0.11, -0.41, 4.27) Global ( 0.11, -0.41, 4.27) +TGeoTessellated 1757 Local ( 0.12, -0.41, 4.30) Global ( 0.12, -0.41, 4.30) +TGeoTessellated 1758 Local ( 0.13, -0.42, 4.34) Global ( 0.13, -0.42, 4.34) +TGeoTessellated 1759 Local ( 0.11, -0.45, 4.38) Global ( 0.11, -0.45, 4.38) +TGeoTessellated 1760 Local ( 0.07, -0.46, 4.37) Global ( 0.07, -0.46, 4.37) +TGeoTessellated 1761 Local ( 0.14, -0.42, 4.39) Global ( 0.14, -0.42, 4.39) +TGeoTessellated 1762 Local ( 0.15, -0.43, 4.44) Global ( 0.15, -0.43, 4.44) +TGeoTessellated 1763 Local ( 0.11, -0.45, 4.43) Global ( 0.11, -0.45, 4.43) +TGeoTessellated 1764 Local ( 0.07, -0.47, 4.42) Global ( 0.07, -0.47, 4.42) +TGeoTessellated 1765 Local ( 0.03, -0.47, 4.36) Global ( 0.03, -0.47, 4.36) +TGeoTessellated 1766 Local ( 0.03, -0.47, 4.32) Global ( 0.03, -0.47, 4.32) +TGeoTessellated 1767 Local ( 0.04, -0.48, 4.42) Global ( 0.04, -0.48, 4.42) +TGeoTessellated 1768 Local ( -0.00, -0.48, 4.42) Global ( -0.00, -0.48, 4.42) +TGeoTessellated 1769 Local ( 0.00, -0.48, 4.36) Global ( 0.00, -0.48, 4.36) +TGeoTessellated 1770 Local ( 0.00, -0.47, 4.32) Global ( 0.00, -0.47, 4.32) +TGeoTessellated 1771 Local ( 0.03, -0.46, 4.28) Global ( 0.03, -0.46, 4.28) +TGeoTessellated 1772 Local ( 0.00, -0.47, 4.28) Global ( 0.00, -0.47, 4.28) +TGeoTessellated 1773 Local ( 0.00, -0.46, 4.25) Global ( 0.00, -0.46, 4.25) +TGeoTessellated 1774 Local ( 0.02, -0.46, 4.25) Global ( 0.02, -0.46, 4.25) +TGeoTessellated 1775 Local ( 0.07, -0.54, 4.74) Global ( 0.07, -0.54, 4.74) +TGeoTessellated 1776 Local ( 0.07, -0.53, 4.77) Global ( 0.07, -0.53, 4.77) +TGeoTessellated 1777 Local ( 0.04, -0.56, 4.77) Global ( 0.04, -0.56, 4.77) +TGeoTessellated 1778 Local ( 0.04, -0.56, 4.74) Global ( 0.04, -0.56, 4.74) +TGeoTessellated 1779 Local ( 0.04, -0.57, 4.71) Global ( 0.04, -0.57, 4.71) +TGeoTessellated 1780 Local ( 0.07, -0.54, 4.71) Global ( 0.07, -0.54, 4.71) +TGeoTessellated 1781 Local ( 0.11, -0.51, 4.72) Global ( 0.11, -0.51, 4.72) +TGeoTessellated 1782 Local ( 0.11, -0.50, 4.74) Global ( 0.11, -0.50, 4.74) +TGeoTessellated 1783 Local ( 0.10, -0.49, 4.77) Global ( 0.10, -0.49, 4.77) +TGeoTessellated 1784 Local ( 0.07, -0.51, 4.80) Global ( 0.07, -0.51, 4.80) +TGeoTessellated 1785 Local ( 0.04, -0.54, 4.80) Global ( 0.04, -0.54, 4.80) +TGeoTessellated 1786 Local ( 0.10, -0.48, 4.80) Global ( 0.10, -0.48, 4.80) +TGeoTessellated 1787 Local ( 0.02, -0.56, 4.80) Global ( 0.02, -0.56, 4.80) +TGeoTessellated 1788 Local ( 0.02, -0.57, 4.77) Global ( 0.02, -0.57, 4.77) +TGeoTessellated 1789 Local ( 0.00, -0.57, 4.80) Global ( 0.00, -0.57, 4.80) +TGeoTessellated 1790 Local ( 0.00, -0.58, 4.77) Global ( 0.00, -0.58, 4.77) +TGeoTessellated 1791 Local ( 0.02, -0.58, 4.74) Global ( 0.02, -0.58, 4.74) +TGeoTessellated 1792 Local ( 0.00, -0.59, 4.74) Global ( 0.00, -0.59, 4.74) +TGeoTessellated 1793 Local ( 0.00, -0.59, 4.71) Global ( 0.00, -0.59, 4.71) +TGeoTessellated 1794 Local ( 0.02, -0.58, 4.71) Global ( 0.02, -0.58, 4.71) +TGeoTessellated 1795 Local ( 0.24, -0.30, 4.37) Global ( 0.24, -0.30, 4.37) +TGeoTessellated 1796 Local ( 0.25, -0.31, 4.40) Global ( 0.25, -0.31, 4.40) +TGeoTessellated 1797 Local ( 0.21, -0.35, 4.37) Global ( 0.21, -0.35, 4.37) +TGeoTessellated 1798 Local ( 0.20, -0.34, 4.34) Global ( 0.20, -0.34, 4.34) +TGeoTessellated 1799 Local ( 0.19, -0.33, 4.31) Global ( 0.19, -0.33, 4.31) +TGeoTessellated 1800 Local ( 0.23, -0.29, 4.35) Global ( 0.23, -0.29, 4.35) +TGeoTessellated 1801 Local ( 0.28, -0.24, 4.39) Global ( 0.28, -0.24, 4.39) +TGeoTessellated 1802 Local ( 0.29, -0.26, 4.41) Global ( 0.29, -0.26, 4.41) +TGeoTessellated 1803 Local ( 0.29, -0.28, 4.44) Global ( 0.29, -0.28, 4.44) +TGeoTessellated 1804 Local ( 0.26, -0.33, 4.44) Global ( 0.26, -0.33, 4.44) +TGeoTessellated 1805 Local ( 0.22, -0.36, 4.42) Global ( 0.22, -0.36, 4.42) +TGeoTessellated 1806 Local ( 0.29, -0.30, 4.47) Global ( 0.29, -0.30, 4.47) +TGeoTessellated 1807 Local ( 0.29, -0.31, 4.49) Global ( 0.29, -0.31, 4.49) +TGeoTessellated 1808 Local ( 0.27, -0.34, 4.48) Global ( 0.27, -0.34, 4.48) +TGeoTessellated 1809 Local ( 0.23, -0.37, 4.46) Global ( 0.23, -0.37, 4.46) +TGeoTessellated 1810 Local ( 0.18, -0.40, 4.40) Global ( 0.18, -0.40, 4.40) +TGeoTessellated 1811 Local ( 0.17, -0.39, 4.36) Global ( 0.17, -0.39, 4.36) +TGeoTessellated 1812 Local ( 0.19, -0.40, 4.45) Global ( 0.19, -0.40, 4.45) +TGeoTessellated 1813 Local ( 0.16, -0.38, 4.32) Global ( 0.16, -0.38, 4.32) +TGeoTessellated 1814 Local ( 0.15, -0.37, 4.29) Global ( 0.15, -0.37, 4.29) +TGeoTessellated 1815 Local ( 0.26, -0.35, 4.78) Global ( 0.26, -0.35, 4.78) +TGeoTessellated 1816 Local ( 0.25, -0.35, 4.80) Global ( 0.25, -0.35, 4.80) +TGeoTessellated 1817 Local ( 0.20, -0.40, 4.79) Global ( 0.20, -0.40, 4.79) +TGeoTessellated 1818 Local ( 0.21, -0.40, 4.76) Global ( 0.21, -0.40, 4.76) +TGeoTessellated 1819 Local ( 0.21, -0.41, 4.74) Global ( 0.21, -0.41, 4.74) +TGeoTessellated 1820 Local ( 0.26, -0.35, 4.75) Global ( 0.26, -0.35, 4.75) +TGeoTessellated 1821 Local ( 0.33, -0.28, 4.75) Global ( 0.33, -0.28, 4.75) +TGeoTessellated 1822 Local ( 0.31, -0.30, 4.80) Global ( 0.31, -0.30, 4.80) +TGeoTessellated 1823 Local ( 0.29, -0.31, 4.83) Global ( 0.29, -0.31, 4.83) +TGeoTessellated 1824 Local ( 0.24, -0.35, 4.82) Global ( 0.24, -0.35, 4.82) +TGeoTessellated 1825 Local ( 0.19, -0.39, 4.81) Global ( 0.19, -0.39, 4.81) +TGeoTessellated 1826 Local ( 0.27, -0.33, 4.84) Global ( 0.27, -0.33, 4.84) +TGeoTessellated 1827 Local ( 0.15, -0.44, 4.80) Global ( 0.15, -0.44, 4.80) +TGeoTessellated 1828 Local ( 0.15, -0.45, 4.78) Global ( 0.15, -0.45, 4.78) +TGeoTessellated 1829 Local ( 0.15, -0.46, 4.75) Global ( 0.15, -0.46, 4.75) +TGeoTessellated 1830 Local ( 0.15, -0.46, 4.73) Global ( 0.15, -0.46, 4.73) +TGeoTessellated 1831 Local ( 0.11, -0.46, 4.48) Global ( 0.11, -0.46, 4.48) +TGeoTessellated 1832 Local ( 0.11, -0.47, 4.54) Global ( 0.11, -0.47, 4.54) +TGeoTessellated 1833 Local ( 0.07, -0.49, 4.53) Global ( 0.07, -0.49, 4.53) +TGeoTessellated 1834 Local ( 0.07, -0.48, 4.48) Global ( 0.07, -0.48, 4.48) +TGeoTessellated 1835 Local ( 0.15, -0.44, 4.49) Global ( 0.15, -0.44, 4.49) +TGeoTessellated 1836 Local ( 0.15, -0.44, 4.55) Global ( 0.15, -0.44, 4.55) +TGeoTessellated 1837 Local ( 0.10, -0.48, 4.59) Global ( 0.10, -0.48, 4.59) +TGeoTessellated 1838 Local ( 0.06, -0.50, 4.59) Global ( 0.06, -0.50, 4.59) +TGeoTessellated 1839 Local ( 0.14, -0.45, 4.60) Global ( 0.14, -0.45, 4.60) +TGeoTessellated 1840 Local ( 0.13, -0.46, 4.64) Global ( 0.13, -0.46, 4.64) +TGeoTessellated 1841 Local ( 0.09, -0.49, 4.63) Global ( 0.09, -0.49, 4.63) +TGeoTessellated 1842 Local ( 0.06, -0.51, 4.63) Global ( 0.06, -0.51, 4.63) +TGeoTessellated 1843 Local ( 0.03, -0.51, 4.58) Global ( 0.03, -0.51, 4.58) +TGeoTessellated 1844 Local ( 0.03, -0.50, 4.53) Global ( 0.03, -0.50, 4.53) +TGeoTessellated 1845 Local ( 0.03, -0.52, 4.62) Global ( 0.03, -0.52, 4.62) +TGeoTessellated 1846 Local ( 0.00, -0.53, 4.62) Global ( 0.00, -0.53, 4.62) +TGeoTessellated 1847 Local ( 0.00, -0.51, 4.58) Global ( 0.00, -0.51, 4.58) +TGeoTessellated 1848 Local ( 0.00, -0.50, 4.53) Global ( 0.00, -0.50, 4.53) +TGeoTessellated 1849 Local ( 0.04, -0.49, 4.47) Global ( 0.04, -0.49, 4.47) +TGeoTessellated 1850 Local ( 0.00, -0.49, 4.47) Global ( 0.00, -0.49, 4.47) +TGeoTessellated 1851 Local ( 0.08, -0.51, 4.66) Global ( 0.08, -0.51, 4.66) +TGeoTessellated 1852 Local ( 0.08, -0.53, 4.68) Global ( 0.08, -0.53, 4.68) +TGeoTessellated 1853 Local ( 0.05, -0.55, 4.68) Global ( 0.05, -0.55, 4.68) +TGeoTessellated 1854 Local ( 0.05, -0.53, 4.66) Global ( 0.05, -0.53, 4.66) +TGeoTessellated 1855 Local ( 0.12, -0.48, 4.67) Global ( 0.12, -0.48, 4.67) +TGeoTessellated 1856 Local ( 0.11, -0.50, 4.69) Global ( 0.11, -0.50, 4.69) +TGeoTessellated 1857 Local ( 0.07, -0.54, 4.70) Global ( 0.07, -0.54, 4.70) +TGeoTessellated 1858 Local ( 0.05, -0.56, 4.69) Global ( 0.05, -0.56, 4.69) +TGeoTessellated 1859 Local ( 0.11, -0.51, 4.70) Global ( 0.11, -0.51, 4.70) +TGeoTessellated 1860 Local ( 0.02, -0.57, 4.69) Global ( 0.02, -0.57, 4.69) +TGeoTessellated 1861 Local ( 0.02, -0.56, 4.67) Global ( 0.02, -0.56, 4.67) +TGeoTessellated 1862 Local ( 0.00, -0.58, 4.69) Global ( 0.00, -0.58, 4.69) +TGeoTessellated 1863 Local ( 0.00, -0.56, 4.67) Global ( 0.00, -0.56, 4.67) +TGeoTessellated 1864 Local ( 0.03, -0.54, 4.65) Global ( 0.03, -0.54, 4.65) +TGeoTessellated 1865 Local ( 0.00, -0.54, 4.65) Global ( 0.00, -0.54, 4.65) +TGeoTessellated 1866 Local ( 0.15, -0.47, 4.71) Global ( 0.15, -0.47, 4.71) +TGeoTessellated 1867 Local ( 0.15, -0.46, 4.70) Global ( 0.15, -0.46, 4.70) +TGeoTessellated 1868 Local ( 0.18, -0.43, 4.71) Global ( 0.18, -0.43, 4.71) +TGeoTessellated 1869 Local ( 0.20, -0.42, 4.72) Global ( 0.20, -0.42, 4.72) +TGeoTessellated 1870 Local ( 0.16, -0.45, 4.68) Global ( 0.16, -0.45, 4.68) +TGeoTessellated 1871 Local ( 0.20, -0.41, 4.70) Global ( 0.20, -0.41, 4.70) +TGeoTessellated 1872 Local ( 0.18, -0.43, 4.66) Global ( 0.18, -0.43, 4.66) +TGeoTessellated 1873 Local ( 0.22, -0.39, 4.68) Global ( 0.22, -0.39, 4.68) +TGeoTessellated 1874 Local ( 0.24, -0.37, 4.72) Global ( 0.24, -0.37, 4.72) +TGeoTessellated 1875 Local ( 0.27, -0.34, 4.70) Global ( 0.27, -0.34, 4.70) +TGeoTessellated 1876 Local ( 0.33, 0.48, 4.01) Global ( 0.33, 0.48, 4.01) +TGeoTessellated 1877 Local ( 0.31, 0.45, 4.07) Global ( 0.31, 0.45, 4.07) +TGeoTessellated 1878 Local ( 0.35, 0.42, 4.07) Global ( 0.35, 0.42, 4.07) +TGeoTessellated 1879 Local ( 0.38, 0.45, 4.01) Global ( 0.38, 0.45, 4.01) +TGeoTessellated 1880 Local ( 0.28, 0.50, 4.01) Global ( 0.28, 0.50, 4.01) +TGeoTessellated 1881 Local ( 0.27, 0.47, 4.08) Global ( 0.27, 0.47, 4.08) +TGeoTessellated 1882 Local ( 0.30, 0.43, 4.14) Global ( 0.30, 0.43, 4.14) +TGeoTessellated 1883 Local ( 0.33, 0.40, 4.13) Global ( 0.33, 0.40, 4.13) +TGeoTessellated 1884 Local ( 0.25, 0.45, 4.14) Global ( 0.25, 0.45, 4.14) +TGeoTessellated 1885 Local ( 0.24, 0.43, 4.20) Global ( 0.24, 0.43, 4.20) +TGeoTessellated 1886 Local ( 0.28, 0.41, 4.20) Global ( 0.28, 0.41, 4.20) +TGeoTessellated 1887 Local ( 0.31, 0.39, 4.19) Global ( 0.31, 0.39, 4.19) +TGeoTessellated 1888 Local ( 0.35, 0.37, 4.13) Global ( 0.35, 0.37, 4.13) +TGeoTessellated 1889 Local ( 0.37, 0.39, 4.07) Global ( 0.37, 0.39, 4.07) +TGeoTessellated 1890 Local ( 0.34, 0.36, 4.18) Global ( 0.34, 0.36, 4.18) +TGeoTessellated 1891 Local ( 0.35, 0.32, 4.17) Global ( 0.35, 0.32, 4.17) +TGeoTessellated 1892 Local ( 0.37, 0.33, 4.12) Global ( 0.37, 0.33, 4.12) +TGeoTessellated 1893 Local ( 0.39, 0.35, 4.07) Global ( 0.39, 0.35, 4.07) +TGeoTessellated 1894 Local ( 0.41, 0.42, 4.01) Global ( 0.41, 0.42, 4.01) +TGeoTessellated 1895 Local ( 0.43, 0.38, 4.01) Global ( 0.43, 0.38, 4.01) +TGeoTessellated 1896 Local ( 0.27, 0.40, 4.25) Global ( 0.27, 0.40, 4.25) +TGeoTessellated 1897 Local ( 0.27, 0.39, 4.30) Global ( 0.27, 0.39, 4.30) +TGeoTessellated 1898 Local ( 0.30, 0.37, 4.29) Global ( 0.30, 0.37, 4.29) +TGeoTessellated 1899 Local ( 0.30, 0.38, 4.24) Global ( 0.30, 0.38, 4.24) +TGeoTessellated 1900 Local ( 0.24, 0.42, 4.25) Global ( 0.24, 0.42, 4.25) +TGeoTessellated 1901 Local ( 0.23, 0.42, 4.30) Global ( 0.23, 0.42, 4.30) +TGeoTessellated 1902 Local ( 0.26, 0.39, 4.34) Global ( 0.26, 0.39, 4.34) +TGeoTessellated 1903 Local ( 0.29, 0.36, 4.33) Global ( 0.29, 0.36, 4.33) +TGeoTessellated 1904 Local ( 0.23, 0.41, 4.35) Global ( 0.23, 0.41, 4.35) +TGeoTessellated 1905 Local ( 0.31, 0.33, 4.33) Global ( 0.31, 0.33, 4.33) +TGeoTessellated 1906 Local ( 0.32, 0.34, 4.28) Global ( 0.32, 0.34, 4.28) +TGeoTessellated 1907 Local ( 0.33, 0.30, 4.32) Global ( 0.33, 0.30, 4.32) +TGeoTessellated 1908 Local ( 0.33, 0.30, 4.27) Global ( 0.33, 0.30, 4.27) +TGeoTessellated 1909 Local ( 0.32, 0.35, 4.23) Global ( 0.32, 0.35, 4.23) +TGeoTessellated 1910 Local ( 0.34, 0.31, 4.22) Global ( 0.34, 0.31, 4.22) +TGeoTessellated 1911 Local ( 0.08, 0.50, 4.01) Global ( 0.08, 0.50, 4.01) +TGeoTessellated 1912 Local ( 0.07, 0.48, 4.08) Global ( 0.07, 0.48, 4.08) +TGeoTessellated 1913 Local ( 0.15, 0.48, 4.08) Global ( 0.15, 0.48, 4.08) +TGeoTessellated 1914 Local ( 0.15, 0.50, 4.01) Global ( 0.15, 0.50, 4.01) +TGeoTessellated 1915 Local ( 0.00, 0.50, 4.01) Global ( 0.00, 0.50, 4.01) +TGeoTessellated 1916 Local ( 0.00, 0.48, 4.08) Global ( 0.00, 0.48, 4.08) +TGeoTessellated 1917 Local ( 0.07, 0.46, 4.14) Global ( 0.07, 0.46, 4.14) +TGeoTessellated 1918 Local ( 0.14, 0.46, 4.14) Global ( 0.14, 0.46, 4.14) +TGeoTessellated 1919 Local ( 0.00, 0.46, 4.14) Global ( 0.00, 0.46, 4.14) +TGeoTessellated 1920 Local ( -0.00, 0.45, 4.20) Global ( -0.00, 0.45, 4.20) +TGeoTessellated 1921 Local ( 0.07, 0.45, 4.20) Global ( 0.07, 0.45, 4.20) +TGeoTessellated 1922 Local ( 0.13, 0.45, 4.20) Global ( 0.13, 0.45, 4.20) +TGeoTessellated 1923 Local ( 0.20, 0.46, 4.14) Global ( 0.20, 0.46, 4.14) +TGeoTessellated 1924 Local ( 0.21, 0.48, 4.08) Global ( 0.21, 0.48, 4.08) +TGeoTessellated 1925 Local ( 0.19, 0.44, 4.20) Global ( 0.19, 0.44, 4.20) +TGeoTessellated 1926 Local ( 0.22, 0.50, 4.01) Global ( 0.22, 0.50, 4.01) +TGeoTessellated 1927 Local ( 0.07, 0.45, 4.25) Global ( 0.07, 0.45, 4.25) +TGeoTessellated 1928 Local ( 0.06, 0.45, 4.30) Global ( 0.06, 0.45, 4.30) +TGeoTessellated 1929 Local ( 0.13, 0.44, 4.30) Global ( 0.13, 0.44, 4.30) +TGeoTessellated 1930 Local ( 0.13, 0.44, 4.26) Global ( 0.13, 0.44, 4.26) +TGeoTessellated 1931 Local ( 0.00, 0.45, 4.25) Global ( 0.00, 0.45, 4.25) +TGeoTessellated 1932 Local ( 0.00, 0.45, 4.30) Global ( 0.00, 0.45, 4.30) +TGeoTessellated 1933 Local ( 0.06, 0.45, 4.34) Global ( 0.06, 0.45, 4.34) +TGeoTessellated 1934 Local ( 0.12, 0.45, 4.34) Global ( 0.12, 0.45, 4.34) +TGeoTessellated 1935 Local ( 0.00, 0.46, 4.34) Global ( 0.00, 0.46, 4.34) +TGeoTessellated 1936 Local ( 0.18, 0.43, 4.35) Global ( 0.18, 0.43, 4.35) +TGeoTessellated 1937 Local ( 0.18, 0.43, 4.30) Global ( 0.18, 0.43, 4.30) +TGeoTessellated 1938 Local ( 0.19, 0.44, 4.26) Global ( 0.19, 0.44, 4.26) +TGeoTessellated 1939 Local ( 0.40, -0.06, 3.97) Global ( 0.40, -0.06, 3.97) +TGeoTessellated 1940 Local ( 0.37, -0.05, 4.02) Global ( 0.37, -0.05, 4.02) +TGeoTessellated 1941 Local ( 0.34, -0.08, 4.01) Global ( 0.34, -0.08, 4.01) +TGeoTessellated 1942 Local ( 0.37, -0.09, 3.96) Global ( 0.37, -0.09, 3.96) +TGeoTessellated 1943 Local ( 0.43, -0.02, 3.98) Global ( 0.43, -0.02, 3.98) +TGeoTessellated 1944 Local ( 0.39, -0.02, 4.02) Global ( 0.39, -0.02, 4.02) +TGeoTessellated 1945 Local ( 0.34, -0.05, 4.06) Global ( 0.34, -0.05, 4.06) +TGeoTessellated 1946 Local ( 0.31, -0.08, 4.05) Global ( 0.31, -0.08, 4.05) +TGeoTessellated 1947 Local ( 0.36, -0.02, 4.07) Global ( 0.36, -0.02, 4.07) +TGeoTessellated 1948 Local ( 0.35, -0.02, 4.11) Global ( 0.35, -0.02, 4.11) +TGeoTessellated 1949 Local ( 0.32, -0.05, 4.10) Global ( 0.32, -0.05, 4.10) +TGeoTessellated 1950 Local ( 0.29, -0.08, 4.10) Global ( 0.29, -0.08, 4.10) +TGeoTessellated 1951 Local ( 0.28, -0.10, 4.05) Global ( 0.28, -0.10, 4.05) +TGeoTessellated 1952 Local ( 0.30, -0.10, 4.00) Global ( 0.30, -0.10, 4.00) +TGeoTessellated 1953 Local ( 0.26, -0.10, 4.09) Global ( 0.26, -0.10, 4.09) +TGeoTessellated 1954 Local ( 0.22, -0.12, 4.09) Global ( 0.22, -0.12, 4.09) +TGeoTessellated 1955 Local ( 0.24, -0.11, 4.05) Global ( 0.24, -0.11, 4.05) +TGeoTessellated 1956 Local ( 0.26, -0.11, 4.00) Global ( 0.26, -0.11, 4.00) +TGeoTessellated 1957 Local ( 0.33, -0.11, 3.95) Global ( 0.33, -0.11, 3.95) +TGeoTessellated 1958 Local ( 0.28, -0.12, 3.95) Global ( 0.28, -0.12, 3.95) +TGeoTessellated 1959 Local ( 0.31, -0.06, 4.15) Global ( 0.31, -0.06, 4.15) +TGeoTessellated 1960 Local ( 0.29, -0.06, 4.19) Global ( 0.29, -0.06, 4.19) +TGeoTessellated 1961 Local ( 0.26, -0.08, 4.18) Global ( 0.26, -0.08, 4.18) +TGeoTessellated 1962 Local ( 0.27, -0.08, 4.14) Global ( 0.27, -0.08, 4.14) +TGeoTessellated 1963 Local ( 0.33, -0.03, 4.16) Global ( 0.33, -0.03, 4.16) +TGeoTessellated 1964 Local ( 0.32, -0.03, 4.20) Global ( 0.32, -0.03, 4.20) +TGeoTessellated 1965 Local ( 0.28, -0.07, 4.22) Global ( 0.28, -0.07, 4.22) +TGeoTessellated 1966 Local ( 0.24, -0.10, 4.21) Global ( 0.24, -0.10, 4.21) +TGeoTessellated 1967 Local ( 0.31, -0.04, 4.23) Global ( 0.31, -0.04, 4.23) +TGeoTessellated 1968 Local ( 0.20, -0.12, 4.20) Global ( 0.20, -0.12, 4.20) +TGeoTessellated 1969 Local ( 0.22, -0.11, 4.17) Global ( 0.22, -0.11, 4.17) +TGeoTessellated 1970 Local ( 0.15, -0.14, 4.19) Global ( 0.15, -0.14, 4.19) +TGeoTessellated 1971 Local ( 0.17, -0.13, 4.16) Global ( 0.17, -0.13, 4.16) +TGeoTessellated 1972 Local ( 0.24, -0.10, 4.13) Global ( 0.24, -0.10, 4.13) +TGeoTessellated 1973 Local ( 0.20, -0.12, 4.13) Global ( 0.20, -0.12, 4.13) +TGeoTessellated 1974 Local ( 0.22, -0.13, 3.95) Global ( 0.22, -0.13, 3.95) +TGeoTessellated 1975 Local ( 0.20, -0.12, 4.00) Global ( 0.20, -0.12, 4.00) +TGeoTessellated 1976 Local ( 0.14, -0.13, 4.00) Global ( 0.14, -0.13, 4.00) +TGeoTessellated 1977 Local ( 0.15, -0.14, 3.95) Global ( 0.15, -0.14, 3.95) +TGeoTessellated 1978 Local ( 0.18, -0.12, 4.04) Global ( 0.18, -0.12, 4.04) +TGeoTessellated 1979 Local ( 0.13, -0.13, 4.04) Global ( 0.13, -0.13, 4.04) +TGeoTessellated 1980 Local ( 0.17, -0.13, 4.08) Global ( 0.17, -0.13, 4.08) +TGeoTessellated 1981 Local ( 0.11, -0.13, 4.08) Global ( 0.11, -0.13, 4.08) +TGeoTessellated 1982 Local ( 0.06, -0.13, 4.04) Global ( 0.06, -0.13, 4.04) +TGeoTessellated 1983 Local ( 0.07, -0.13, 4.00) Global ( 0.07, -0.13, 4.00) +TGeoTessellated 1984 Local ( 0.06, -0.13, 4.08) Global ( 0.06, -0.13, 4.08) +TGeoTessellated 1985 Local ( 0.00, -0.13, 4.08) Global ( 0.00, -0.13, 4.08) +TGeoTessellated 1986 Local ( 0.00, -0.13, 4.04) Global ( 0.00, -0.13, 4.04) +TGeoTessellated 1987 Local ( -0.00, -0.13, 4.00) Global ( -0.00, -0.13, 4.00) +TGeoTessellated 1988 Local ( 0.08, -0.14, 3.95) Global ( 0.08, -0.14, 3.95) +TGeoTessellated 1989 Local ( 0.00, -0.14, 3.95) Global ( 0.00, -0.14, 3.95) +TGeoTessellated 1990 Local ( 0.15, -0.13, 4.12) Global ( 0.15, -0.13, 4.12) +TGeoTessellated 1991 Local ( 0.13, -0.14, 4.16) Global ( 0.13, -0.14, 4.16) +TGeoTessellated 1992 Local ( 0.09, -0.15, 4.15) Global ( 0.09, -0.15, 4.15) +TGeoTessellated 1993 Local ( 0.10, -0.14, 4.12) Global ( 0.10, -0.14, 4.12) +TGeoTessellated 1994 Local ( 0.11, -0.16, 4.19) Global ( 0.11, -0.16, 4.19) +TGeoTessellated 1995 Local ( 0.08, -0.17, 4.18) Global ( 0.08, -0.17, 4.18) +TGeoTessellated 1996 Local ( 0.04, -0.17, 4.18) Global ( 0.04, -0.17, 4.18) +TGeoTessellated 1997 Local ( 0.04, -0.15, 4.15) Global ( 0.04, -0.15, 4.15) +TGeoTessellated 1998 Local ( 0.00, -0.18, 4.18) Global ( 0.00, -0.18, 4.18) +TGeoTessellated 1999 Local ( 0.00, -0.16, 4.15) Global ( 0.00, -0.16, 4.15) +TGeoTessellated 2000 Local ( 0.05, -0.14, 4.12) Global ( 0.05, -0.14, 4.12) +TGeoTessellated 2001 Local ( 0.00, -0.14, 4.12) Global ( 0.00, -0.14, 4.12) +TGeoTessellated 2002 Local ( 0.47, 0.12, 4.01) Global ( 0.47, 0.12, 4.01) +TGeoTessellated 2003 Local ( 0.42, 0.11, 4.06) Global ( 0.42, 0.11, 4.06) +TGeoTessellated 2004 Local ( 0.42, 0.06, 4.05) Global ( 0.42, 0.06, 4.05) +TGeoTessellated 2005 Local ( 0.46, 0.06, 4.00) Global ( 0.46, 0.06, 4.00) +TGeoTessellated 2006 Local ( 0.47, 0.17, 4.02) Global ( 0.47, 0.17, 4.02) +TGeoTessellated 2007 Local ( 0.42, 0.16, 4.07) Global ( 0.42, 0.16, 4.07) +TGeoTessellated 2008 Local ( 0.40, 0.10, 4.11) Global ( 0.40, 0.10, 4.11) +TGeoTessellated 2009 Local ( 0.39, 0.06, 4.10) Global ( 0.39, 0.06, 4.10) +TGeoTessellated 2010 Local ( 0.40, 0.15, 4.12) Global ( 0.40, 0.15, 4.12) +TGeoTessellated 2011 Local ( 0.38, 0.14, 4.16) Global ( 0.38, 0.14, 4.16) +TGeoTessellated 2012 Local ( 0.38, 0.09, 4.15) Global ( 0.38, 0.09, 4.15) +TGeoTessellated 2013 Local ( 0.37, 0.05, 4.14) Global ( 0.37, 0.05, 4.14) +TGeoTessellated 2014 Local ( 0.38, 0.01, 4.08) Global ( 0.38, 0.01, 4.08) +TGeoTessellated 2015 Local ( 0.40, 0.02, 4.04) Global ( 0.40, 0.02, 4.04) +TGeoTessellated 2016 Local ( 0.36, 0.01, 4.13) Global ( 0.36, 0.01, 4.13) +TGeoTessellated 2017 Local ( 0.45, 0.02, 3.99) Global ( 0.45, 0.02, 3.99) +TGeoTessellated 2018 Local ( 0.37, 0.09, 4.19) Global ( 0.37, 0.09, 4.19) +TGeoTessellated 2019 Local ( 0.37, 0.08, 4.23) Global ( 0.37, 0.08, 4.23) +TGeoTessellated 2020 Local ( 0.36, 0.04, 4.22) Global ( 0.36, 0.04, 4.22) +TGeoTessellated 2021 Local ( 0.36, 0.05, 4.18) Global ( 0.36, 0.05, 4.18) +TGeoTessellated 2022 Local ( 0.37, 0.13, 4.20) Global ( 0.37, 0.13, 4.20) +TGeoTessellated 2023 Local ( 0.37, 0.13, 4.24) Global ( 0.37, 0.13, 4.24) +TGeoTessellated 2024 Local ( 0.37, 0.08, 4.27) Global ( 0.37, 0.08, 4.27) +TGeoTessellated 2025 Local ( 0.35, 0.04, 4.26) Global ( 0.35, 0.04, 4.26) +TGeoTessellated 2026 Local ( 0.37, 0.12, 4.29) Global ( 0.37, 0.12, 4.29) +TGeoTessellated 2027 Local ( 0.34, -0.00, 4.25) Global ( 0.34, -0.00, 4.25) +TGeoTessellated 2028 Local ( 0.34, 0.01, 4.21) Global ( 0.34, 0.01, 4.21) +TGeoTessellated 2029 Local ( 0.35, 0.01, 4.17) Global ( 0.35, 0.01, 4.17) +TGeoTessellated 2030 Local ( 0.45, 0.33, 4.01) Global ( 0.45, 0.33, 4.01) +TGeoTessellated 2031 Local ( 0.41, 0.31, 4.07) Global ( 0.41, 0.31, 4.07) +TGeoTessellated 2032 Local ( 0.42, 0.26, 4.07) Global ( 0.42, 0.26, 4.07) +TGeoTessellated 2033 Local ( 0.46, 0.28, 4.02) Global ( 0.46, 0.28, 4.02) +TGeoTessellated 2034 Local ( 0.38, 0.29, 4.12) Global ( 0.38, 0.29, 4.12) +TGeoTessellated 2035 Local ( 0.39, 0.24, 4.12) Global ( 0.39, 0.24, 4.12) +TGeoTessellated 2036 Local ( 0.36, 0.28, 4.17) Global ( 0.36, 0.28, 4.17) +TGeoTessellated 2037 Local ( 0.37, 0.23, 4.17) Global ( 0.37, 0.23, 4.17) +TGeoTessellated 2038 Local ( 0.40, 0.20, 4.12) Global ( 0.40, 0.20, 4.12) +TGeoTessellated 2039 Local ( 0.42, 0.21, 4.07) Global ( 0.42, 0.21, 4.07) +TGeoTessellated 2040 Local ( 0.38, 0.19, 4.16) Global ( 0.38, 0.19, 4.16) +TGeoTessellated 2041 Local ( 0.47, 0.22, 4.02) Global ( 0.47, 0.22, 4.02) +TGeoTessellated 2042 Local ( 0.35, 0.27, 4.22) Global ( 0.35, 0.27, 4.22) +TGeoTessellated 2043 Local ( 0.35, 0.26, 4.26) Global ( 0.35, 0.26, 4.26) +TGeoTessellated 2044 Local ( 0.36, 0.22, 4.26) Global ( 0.36, 0.22, 4.26) +TGeoTessellated 2045 Local ( 0.36, 0.22, 4.21) Global ( 0.36, 0.22, 4.21) +TGeoTessellated 2046 Local ( 0.35, 0.26, 4.31) Global ( 0.35, 0.26, 4.31) +TGeoTessellated 2047 Local ( 0.36, 0.21, 4.30) Global ( 0.36, 0.21, 4.30) +TGeoTessellated 2048 Local ( 0.37, 0.17, 4.29) Global ( 0.37, 0.17, 4.29) +TGeoTessellated 2049 Local ( 0.37, 0.17, 4.25) Global ( 0.37, 0.17, 4.25) +TGeoTessellated 2050 Local ( 0.37, 0.18, 4.21) Global ( 0.37, 0.18, 4.21) +TGeoTessellated 2051 Local ( 0.07, -0.43, 4.24) Global ( 0.07, -0.43, 4.24) +TGeoTessellated 2052 Local ( 0.05, -0.45, 4.23) Global ( 0.05, -0.45, 4.23) +TGeoTessellated 2053 Local ( 0.04, -0.44, 4.22) Global ( 0.04, -0.44, 4.22) +TGeoTessellated 2054 Local ( 0.07, -0.42, 4.23) Global ( 0.07, -0.42, 4.23) +TGeoTessellated 2055 Local ( 0.10, -0.40, 4.24) Global ( 0.10, -0.40, 4.24) +TGeoTessellated 2056 Local ( 0.10, -0.40, 4.26) Global ( 0.10, -0.40, 4.26) +TGeoTessellated 2057 Local ( 0.02, -0.46, 4.23) Global ( 0.02, -0.46, 4.23) +TGeoTessellated 2058 Local ( 0.02, -0.45, 4.22) Global ( 0.02, -0.45, 4.22) +TGeoTessellated 2059 Local ( 0.00, -0.46, 4.23) Global ( 0.00, -0.46, 4.23) +TGeoTessellated 2060 Local ( 0.00, -0.45, 4.21) Global ( 0.00, -0.45, 4.21) +TGeoTessellated 2061 Local ( 0.02, -0.44, 4.21) Global ( 0.02, -0.44, 4.21) +TGeoTessellated 2062 Local ( 0.04, -0.43, 4.22) Global ( 0.04, -0.43, 4.22) +TGeoTessellated 2063 Local ( 0.00, -0.44, 4.21) Global ( 0.00, -0.44, 4.21) +TGeoTessellated 2064 Local ( 0.07, -0.41, 4.23) Global ( 0.07, -0.41, 4.23) +TGeoTessellated 2065 Local ( 0.10, -0.38, 4.24) Global ( 0.10, -0.38, 4.24) +TGeoTessellated 2066 Local ( 0.48, 0.05, 4.69) Global ( 0.48, 0.05, 4.69) +TGeoTessellated 2067 Local ( 0.49, 0.05, 4.77) Global ( 0.49, 0.05, 4.77) +TGeoTessellated 2068 Local ( 0.49, 0.03, 4.77) Global ( 0.49, 0.03, 4.77) +TGeoTessellated 2069 Local ( 0.48, 0.02, 4.69) Global ( 0.48, 0.02, 4.69) +TGeoTessellated 2070 Local ( 0.46, -0.00, 4.62) Global ( 0.46, -0.00, 4.62) +TGeoTessellated 2071 Local ( 0.46, 0.03, 4.61) Global ( 0.46, 0.03, 4.61) +TGeoTessellated 2072 Local ( 0.50, 0.05, 4.84) Global ( 0.50, 0.05, 4.84) +TGeoTessellated 2073 Local ( 0.50, 0.02, 4.84) Global ( 0.50, 0.02, 4.84) +TGeoTessellated 2074 Local ( 0.50, 0.05, 4.91) Global ( 0.50, 0.05, 4.91) +TGeoTessellated 2075 Local ( 0.50, 0.02, 4.91) Global ( 0.50, 0.02, 4.91) +TGeoTessellated 2076 Local ( 0.49, -0.01, 4.85) Global ( 0.49, -0.01, 4.85) +TGeoTessellated 2077 Local ( 0.48, -0.00, 4.78) Global ( 0.48, -0.00, 4.78) +TGeoTessellated 2078 Local ( 0.49, -0.01, 4.92) Global ( 0.49, -0.01, 4.92) +TGeoTessellated 2079 Local ( 0.47, -0.04, 4.93) Global ( 0.47, -0.04, 4.93) +TGeoTessellated 2080 Local ( 0.47, -0.04, 4.86) Global ( 0.47, -0.04, 4.86) +TGeoTessellated 2081 Local ( 0.47, -0.04, 4.79) Global ( 0.47, -0.04, 4.79) +TGeoTessellated 2082 Local ( 0.47, -0.01, 4.70) Global ( 0.47, -0.01, 4.70) +TGeoTessellated 2083 Local ( 0.46, -0.05, 4.72) Global ( 0.46, -0.05, 4.72) +TGeoTessellated 2084 Local ( 0.44, -0.06, 4.64) Global ( 0.44, -0.06, 4.64) +TGeoTessellated 2085 Local ( 0.45, -0.03, 4.63) Global ( 0.45, -0.03, 4.63) +TGeoTessellated 2086 Local ( 0.50, 0.04, 4.98) Global ( 0.50, 0.04, 4.98) +TGeoTessellated 2087 Local ( 0.49, 0.04, 5.04) Global ( 0.49, 0.04, 5.04) +TGeoTessellated 2088 Local ( 0.49, 0.01, 5.04) Global ( 0.49, 0.01, 5.04) +TGeoTessellated 2089 Local ( 0.49, 0.01, 4.98) Global ( 0.49, 0.01, 4.98) +TGeoTessellated 2090 Local ( 0.48, 0.03, 5.11) Global ( 0.48, 0.03, 5.11) +TGeoTessellated 2091 Local ( 0.48, -0.00, 5.10) Global ( 0.48, -0.00, 5.10) +TGeoTessellated 2092 Local ( 0.46, 0.02, 5.17) Global ( 0.46, 0.02, 5.17) +TGeoTessellated 2093 Local ( 0.46, -0.01, 5.16) Global ( 0.46, -0.01, 5.16) +TGeoTessellated 2094 Local ( 0.47, -0.03, 5.10) Global ( 0.47, -0.03, 5.10) +TGeoTessellated 2095 Local ( 0.48, -0.02, 5.05) Global ( 0.48, -0.02, 5.05) +TGeoTessellated 2096 Local ( 0.45, -0.03, 5.16) Global ( 0.45, -0.03, 5.16) +TGeoTessellated 2097 Local ( 0.45, -0.05, 5.15) Global ( 0.45, -0.05, 5.15) +TGeoTessellated 2098 Local ( 0.45, -0.05, 5.11) Global ( 0.45, -0.05, 5.11) +TGeoTessellated 2099 Local ( 0.46, -0.05, 5.06) Global ( 0.46, -0.05, 5.06) +TGeoTessellated 2100 Local ( 0.48, -0.02, 4.98) Global ( 0.48, -0.02, 4.98) +TGeoTessellated 2101 Local ( 0.47, -0.05, 5.00) Global ( 0.47, -0.05, 5.00) +TGeoTessellated 2102 Local ( 0.32, -0.17, 4.42) Global ( 0.32, -0.17, 4.42) +TGeoTessellated 2103 Local ( 0.32, -0.16, 4.41) Global ( 0.32, -0.16, 4.41) +TGeoTessellated 2104 Local ( 0.37, -0.10, 4.48) Global ( 0.37, -0.10, 4.48) +TGeoTessellated 2105 Local ( 0.37, -0.12, 4.49) Global ( 0.37, -0.12, 4.49) +TGeoTessellated 2106 Local ( 0.37, -0.14, 4.50) Global ( 0.37, -0.14, 4.50) +TGeoTessellated 2107 Local ( 0.32, -0.19, 4.44) Global ( 0.32, -0.19, 4.44) +TGeoTessellated 2108 Local ( 0.27, -0.23, 4.37) Global ( 0.27, -0.23, 4.37) +TGeoTessellated 2109 Local ( 0.27, -0.21, 4.36) Global ( 0.27, -0.21, 4.36) +TGeoTessellated 2110 Local ( 0.33, -0.14, 4.40) Global ( 0.33, -0.14, 4.40) +TGeoTessellated 2111 Local ( 0.38, -0.08, 4.46) Global ( 0.38, -0.08, 4.46) +TGeoTessellated 2112 Local ( 0.27, -0.20, 4.35) Global ( 0.27, -0.20, 4.35) +TGeoTessellated 2113 Local ( 0.42, -0.02, 4.53) Global ( 0.42, -0.02, 4.53) +TGeoTessellated 2114 Local ( 0.42, -0.04, 4.54) Global ( 0.42, -0.04, 4.54) +TGeoTessellated 2115 Local ( 0.41, -0.07, 4.56) Global ( 0.41, -0.07, 4.56) +TGeoTessellated 2116 Local ( 0.41, -0.10, 4.57) Global ( 0.41, -0.10, 4.57) +TGeoTessellated 2117 Local ( 0.23, -0.28, 4.33) Global ( 0.23, -0.28, 4.33) +TGeoTessellated 2118 Local ( 0.18, -0.33, 4.30) Global ( 0.18, -0.33, 4.30) +TGeoTessellated 2119 Local ( 0.18, -0.32, 4.29) Global ( 0.18, -0.32, 4.29) +TGeoTessellated 2120 Local ( 0.22, -0.27, 4.32) Global ( 0.22, -0.27, 4.32) +TGeoTessellated 2121 Local ( 0.14, -0.37, 4.27) Global ( 0.14, -0.37, 4.27) +TGeoTessellated 2122 Local ( 0.14, -0.36, 4.26) Global ( 0.14, -0.36, 4.26) +TGeoTessellated 2123 Local ( 0.14, -0.35, 4.26) Global ( 0.14, -0.35, 4.26) +TGeoTessellated 2124 Local ( 0.18, -0.31, 4.28) Global ( 0.18, -0.31, 4.28) +TGeoTessellated 2125 Local ( 0.23, -0.26, 4.31) Global ( 0.23, -0.26, 4.31) +TGeoTessellated 2126 Local ( 0.29, -0.31, 4.87) Global ( 0.29, -0.31, 4.87) +TGeoTessellated 2127 Local ( 0.31, -0.29, 4.86) Global ( 0.31, -0.29, 4.86) +TGeoTessellated 2128 Local ( 0.32, -0.28, 4.91) Global ( 0.32, -0.28, 4.91) +TGeoTessellated 2129 Local ( 0.29, -0.30, 4.90) Global ( 0.29, -0.30, 4.90) +TGeoTessellated 2130 Local ( 0.34, -0.27, 4.85) Global ( 0.34, -0.27, 4.85) +TGeoTessellated 2131 Local ( 0.35, -0.26, 4.91) Global ( 0.35, -0.26, 4.91) +TGeoTessellated 2132 Local ( 0.36, -0.24, 4.83) Global ( 0.36, -0.24, 4.83) +TGeoTessellated 2133 Local ( 0.37, -0.23, 4.90) Global ( 0.37, -0.23, 4.90) +TGeoTessellated 2134 Local ( 0.34, -0.26, 4.96) Global ( 0.34, -0.26, 4.96) +TGeoTessellated 2135 Local ( 0.31, -0.29, 4.95) Global ( 0.31, -0.29, 4.95) +TGeoTessellated 2136 Local ( 0.37, -0.23, 4.97) Global ( 0.37, -0.23, 4.97) +TGeoTessellated 2137 Local ( 0.29, -0.31, 4.93) Global ( 0.29, -0.31, 4.93) +TGeoTessellated 2138 Local ( 0.40, -0.18, 4.95) Global ( 0.40, -0.18, 4.95) +TGeoTessellated 2139 Local ( 0.40, -0.18, 4.87) Global ( 0.40, -0.18, 4.87) +TGeoTessellated 2140 Local ( 0.43, -0.13, 4.84) Global ( 0.43, -0.13, 4.84) +TGeoTessellated 2141 Local ( 0.43, -0.13, 4.92) Global ( 0.43, -0.13, 4.92) +TGeoTessellated 2142 Local ( 0.43, -0.13, 4.99) Global ( 0.43, -0.13, 4.99) +TGeoTessellated 2143 Local ( 0.40, -0.18, 5.02) Global ( 0.40, -0.18, 5.02) +TGeoTessellated 2144 Local ( 0.39, -0.19, 4.80) Global ( 0.39, -0.19, 4.80) +TGeoTessellated 2145 Local ( 0.42, -0.14, 4.77) Global ( 0.42, -0.14, 4.77) +TGeoTessellated 2146 Local ( 0.38, -0.21, 4.72) Global ( 0.38, -0.21, 4.72) +TGeoTessellated 2147 Local ( 0.40, -0.15, 4.70) Global ( 0.40, -0.15, 4.70) +TGeoTessellated 2148 Local ( 0.44, -0.09, 4.74) Global ( 0.44, -0.09, 4.74) +TGeoTessellated 2149 Local ( 0.45, -0.08, 4.81) Global ( 0.45, -0.08, 4.81) +TGeoTessellated 2150 Local ( 0.42, -0.11, 4.67) Global ( 0.42, -0.11, 4.67) +TGeoTessellated 2151 Local ( 0.46, -0.08, 4.89) Global ( 0.46, -0.08, 4.89) +TGeoTessellated 2152 Local ( 0.45, -0.08, 4.96) Global ( 0.45, -0.08, 4.96) +TGeoTessellated 2153 Local ( 0.37, -0.09, 5.31) Global ( 0.37, -0.09, 5.31) +TGeoTessellated 2154 Local ( 0.40, -0.07, 5.26) Global ( 0.40, -0.07, 5.26) +TGeoTessellated 2155 Local ( 0.41, -0.04, 5.28) Global ( 0.41, -0.04, 5.28) +TGeoTessellated 2156 Local ( 0.37, -0.06, 5.34) Global ( 0.37, -0.06, 5.34) +TGeoTessellated 2157 Local ( 0.37, -0.13, 5.27) Global ( 0.37, -0.13, 5.27) +TGeoTessellated 2158 Local ( 0.40, -0.09, 5.23) Global ( 0.40, -0.09, 5.23) +TGeoTessellated 2159 Local ( 0.43, -0.05, 5.21) Global ( 0.43, -0.05, 5.21) +TGeoTessellated 2160 Local ( 0.44, -0.02, 5.22) Global ( 0.44, -0.02, 5.22) +TGeoTessellated 2161 Local ( 0.43, -0.07, 5.18) Global ( 0.43, -0.07, 5.18) +TGeoTessellated 2162 Local ( 0.44, 0.01, 5.24) Global ( 0.44, 0.01, 5.24) +TGeoTessellated 2163 Local ( 0.41, -0.00, 5.30) Global ( 0.41, -0.00, 5.30) +TGeoTessellated 2164 Local ( 0.37, -0.01, 5.36) Global ( 0.37, -0.01, 5.36) +TGeoTessellated 2165 Local ( 0.38, -0.15, 5.22) Global ( 0.38, -0.15, 5.22) +TGeoTessellated 2166 Local ( 0.39, -0.16, 5.16) Global ( 0.39, -0.16, 5.16) +TGeoTessellated 2167 Local ( 0.42, -0.12, 5.12) Global ( 0.42, -0.12, 5.12) +TGeoTessellated 2168 Local ( 0.41, -0.11, 5.18) Global ( 0.41, -0.11, 5.18) +TGeoTessellated 2169 Local ( 0.35, -0.18, 5.25) Global ( 0.35, -0.18, 5.25) +TGeoTessellated 2170 Local ( 0.37, -0.20, 5.19) Global ( 0.37, -0.20, 5.19) +TGeoTessellated 2171 Local ( 0.40, -0.17, 5.09) Global ( 0.40, -0.17, 5.09) +TGeoTessellated 2172 Local ( 0.43, -0.13, 5.06) Global ( 0.43, -0.13, 5.06) +TGeoTessellated 2173 Local ( 0.37, -0.22, 5.12) Global ( 0.37, -0.22, 5.12) +TGeoTessellated 2174 Local ( 0.45, -0.08, 5.03) Global ( 0.45, -0.08, 5.03) +TGeoTessellated 2175 Local ( 0.44, -0.08, 5.09) Global ( 0.44, -0.08, 5.09) +TGeoTessellated 2176 Local ( 0.44, -0.08, 5.14) Global ( 0.44, -0.08, 5.14) +TGeoTessellated 2177 Local ( 0.32, -0.30, 5.16) Global ( 0.32, -0.30, 5.16) +TGeoTessellated 2178 Local ( 0.34, -0.28, 5.16) Global ( 0.34, -0.28, 5.16) +TGeoTessellated 2179 Local ( 0.34, -0.26, 5.20) Global ( 0.34, -0.26, 5.20) +TGeoTessellated 2180 Local ( 0.32, -0.29, 5.20) Global ( 0.32, -0.29, 5.20) +TGeoTessellated 2181 Local ( 0.35, -0.25, 5.15) Global ( 0.35, -0.25, 5.15) +TGeoTessellated 2182 Local ( 0.35, -0.23, 5.20) Global ( 0.35, -0.23, 5.20) +TGeoTessellated 2183 Local ( 0.33, -0.22, 5.25) Global ( 0.33, -0.22, 5.25) +TGeoTessellated 2184 Local ( 0.32, -0.26, 5.24) Global ( 0.32, -0.26, 5.24) +TGeoTessellated 2185 Local ( 0.31, -0.29, 5.23) Global ( 0.31, -0.29, 5.23) +TGeoTessellated 2186 Local ( 0.33, -0.21, 4.46) Global ( 0.33, -0.21, 4.46) +TGeoTessellated 2187 Local ( 0.36, -0.17, 4.52) Global ( 0.36, -0.17, 4.52) +TGeoTessellated 2188 Local ( 0.36, -0.21, 4.55) Global ( 0.36, -0.21, 4.55) +TGeoTessellated 2189 Local ( 0.33, -0.24, 4.49) Global ( 0.33, -0.24, 4.49) +TGeoTessellated 2190 Local ( 0.40, -0.13, 4.59) Global ( 0.40, -0.13, 4.59) +TGeoTessellated 2191 Local ( 0.38, -0.18, 4.62) Global ( 0.38, -0.18, 4.62) +TGeoTessellated 2192 Local ( 0.36, -0.23, 4.65) Global ( 0.36, -0.23, 4.65) +TGeoTessellated 2193 Local ( 0.34, -0.25, 4.58) Global ( 0.34, -0.25, 4.58) +TGeoTessellated 2194 Local ( 0.33, -0.28, 4.66) Global ( 0.33, -0.28, 4.66) +TGeoTessellated 2195 Local ( 0.32, -0.29, 4.59) Global ( 0.32, -0.29, 4.59) +TGeoTessellated 2196 Local ( 0.32, -0.27, 4.52) Global ( 0.32, -0.27, 4.52) +TGeoTessellated 2197 Local ( 0.30, -0.30, 4.53) Global ( 0.30, -0.30, 4.53) +TGeoTessellated 2198 Local ( 0.28, -0.34, 4.53) Global ( 0.28, -0.34, 4.53) +TGeoTessellated 2199 Local ( 0.28, -0.33, 4.59) Global ( 0.28, -0.33, 4.59) +TGeoTessellated 2200 Local ( 0.24, -0.37, 4.58) Global ( 0.24, -0.37, 4.58) +TGeoTessellated 2201 Local ( 0.24, -0.37, 4.52) Global ( 0.24, -0.37, 4.52) +TGeoTessellated 2202 Local ( 0.29, -0.33, 4.65) Global ( 0.29, -0.33, 4.65) +TGeoTessellated 2203 Local ( 0.24, -0.38, 4.63) Global ( 0.24, -0.38, 4.63) +TGeoTessellated 2204 Local ( 0.19, -0.42, 4.61) Global ( 0.19, -0.42, 4.61) +TGeoTessellated 2205 Local ( 0.19, -0.41, 4.56) Global ( 0.19, -0.41, 4.56) +TGeoTessellated 2206 Local ( 0.20, -0.41, 4.51) Global ( 0.20, -0.41, 4.51) +TGeoTessellated Bounding box: dx= 1.17 dy= 0.79 dz= 5.36 Origin: x= 1.17 y= 0.04 z= 0.16 +ShapeCheck[1] TGeoTessellated 2207 Mesh-points: +TGeoTessellated CAD_Shape N(mesh)=2207 N(vert)=2207 N(seg)=12840 N(pols)=4280 +TGeoTessellated 0 Local ( -0.92, -0.42, 0.67) Global ( -0.92, -0.42, 0.67) +TGeoTessellated 1 Local ( -0.87, -0.48, 0.63) Global ( -0.87, -0.48, 0.63) +TGeoTessellated 2 Local ( -0.84, -0.50, 0.98) Global ( -0.84, -0.50, 0.98) +TGeoTessellated 3 Local ( -0.89, -0.45, 1.00) Global ( -0.89, -0.45, 1.00) +TGeoTessellated 4 Local ( -0.92, -0.38, 1.03) Global ( -0.92, -0.38, 1.03) +TGeoTessellated 5 Local ( -0.96, -0.35, 0.71) Global ( -0.96, -0.35, 0.71) +TGeoTessellated 6 Local ( -0.99, -0.31, 0.44) Global ( -0.99, -0.31, 0.44) +TGeoTessellated 7 Local ( -0.95, -0.39, 0.39) Global ( -0.95, -0.39, 0.39) +TGeoTessellated 8 Local ( -0.90, -0.44, 0.34) Global ( -0.90, -0.44, 0.34) +TGeoTessellated 9 Local ( -0.81, -0.52, 0.60) Global ( -0.81, -0.52, 0.60) +TGeoTessellated 10 Local ( -0.78, -0.55, 0.95) Global ( -0.78, -0.55, 0.95) +TGeoTessellated 11 Local ( -0.83, -0.48, 0.30) Global ( -0.83, -0.48, 0.30) +TGeoTessellated 12 Local ( -0.75, -0.52, 0.26) Global ( -0.75, -0.52, 0.26) +TGeoTessellated 13 Local ( -0.73, -0.56, 0.56) Global ( -0.73, -0.56, 0.56) +TGeoTessellated 14 Local ( -0.71, -0.59, 0.93) Global ( -0.71, -0.59, 0.93) +TGeoTessellated 15 Local ( -0.76, -0.56, 1.34) Global ( -0.76, -0.56, 1.34) +TGeoTessellated 16 Local ( -0.82, -0.52, 1.35) Global ( -0.82, -0.52, 1.35) +TGeoTessellated 17 Local ( -0.69, -0.60, 1.32) Global ( -0.69, -0.60, 1.32) +TGeoTessellated 18 Local ( -0.69, -0.61, 1.71) Global ( -0.69, -0.61, 1.71) +TGeoTessellated 19 Local ( -0.76, -0.56, 1.71) Global ( -0.76, -0.56, 1.71) +TGeoTessellated 20 Local ( -0.81, -0.51, 1.71) Global ( -0.81, -0.51, 1.71) +TGeoTessellated 21 Local ( -0.86, -0.46, 1.36) Global ( -0.86, -0.46, 1.36) +TGeoTessellated 22 Local ( -0.86, -0.45, 1.72) Global ( -0.86, -0.45, 1.72) +TGeoTessellated 23 Local ( -0.89, -0.37, 1.72) Global ( -0.89, -0.37, 1.72) +TGeoTessellated 24 Local ( -0.90, -0.38, 1.38) Global ( -0.90, -0.38, 1.38) +TGeoTessellated 25 Local ( -0.64, -0.59, 0.54) Global ( -0.64, -0.59, 0.54) +TGeoTessellated 26 Local ( -0.54, -0.61, 0.51) Global ( -0.54, -0.61, 0.51) +TGeoTessellated 27 Local ( -0.53, -0.65, 0.90) Global ( -0.53, -0.65, 0.90) +TGeoTessellated 28 Local ( -0.62, -0.62, 0.91) Global ( -0.62, -0.62, 0.91) +TGeoTessellated 29 Local ( -0.65, -0.55, 0.22) Global ( -0.65, -0.55, 0.22) +TGeoTessellated 30 Local ( -0.54, -0.57, 0.19) Global ( -0.54, -0.57, 0.19) +TGeoTessellated 31 Local ( -0.43, -0.63, 0.49) Global ( -0.43, -0.63, 0.49) +TGeoTessellated 32 Local ( -0.43, -0.67, 0.89) Global ( -0.43, -0.67, 0.89) +TGeoTessellated 33 Local ( -0.43, -0.59, 0.16) Global ( -0.43, -0.59, 0.16) +TGeoTessellated 34 Local ( -0.33, -0.61, 0.14) Global ( -0.33, -0.61, 0.14) +TGeoTessellated 35 Local ( -0.33, -0.65, 0.48) Global ( -0.33, -0.65, 0.48) +TGeoTessellated 36 Local ( -0.33, -0.69, 0.88) Global ( -0.33, -0.69, 0.88) +TGeoTessellated 37 Local ( -0.42, -0.69, 1.30) Global ( -0.42, -0.69, 1.30) +TGeoTessellated 38 Local ( -0.51, -0.67, 1.31) Global ( -0.51, -0.67, 1.31) +TGeoTessellated 39 Local ( -0.32, -0.71, 1.30) Global ( -0.32, -0.71, 1.30) +TGeoTessellated 40 Local ( -0.32, -0.73, 1.70) Global ( -0.32, -0.73, 1.70) +TGeoTessellated 41 Local ( -0.42, -0.71, 1.70) Global ( -0.42, -0.71, 1.70) +TGeoTessellated 42 Local ( -0.51, -0.68, 1.70) Global ( -0.51, -0.68, 1.70) +TGeoTessellated 43 Local ( -0.61, -0.64, 1.31) Global ( -0.61, -0.64, 1.31) +TGeoTessellated 44 Local ( -0.60, -0.65, 1.70) Global ( -0.60, -0.65, 1.70) +TGeoTessellated 45 Local ( -0.24, -0.67, 0.48) Global ( -0.24, -0.67, 0.48) +TGeoTessellated 46 Local ( -0.16, -0.68, 0.48) Global ( -0.16, -0.68, 0.48) +TGeoTessellated 47 Local ( -0.16, -0.71, 0.88) Global ( -0.16, -0.71, 0.88) +TGeoTessellated 48 Local ( -0.24, -0.70, 0.88) Global ( -0.24, -0.70, 0.88) +TGeoTessellated 49 Local ( -0.24, -0.62, 0.13) Global ( -0.24, -0.62, 0.13) +TGeoTessellated 50 Local ( -0.15, -0.64, 0.14) Global ( -0.15, -0.64, 0.14) +TGeoTessellated 51 Local ( -0.08, -0.69, 0.49) Global ( -0.08, -0.69, 0.49) +TGeoTessellated 52 Local ( -0.08, -0.72, 0.89) Global ( -0.08, -0.72, 0.89) +TGeoTessellated 53 Local ( -0.07, -0.65, 0.14) Global ( -0.07, -0.65, 0.14) +TGeoTessellated 54 Local ( 0.00, -0.65, 0.15) Global ( 0.00, -0.65, 0.15) +TGeoTessellated 55 Local ( 0.00, -0.69, 0.49) Global ( 0.00, -0.69, 0.49) +TGeoTessellated 56 Local ( 0.00, -0.72, 0.89) Global ( 0.00, -0.72, 0.89) +TGeoTessellated 57 Local ( -0.08, -0.74, 1.30) Global ( -0.08, -0.74, 1.30) +TGeoTessellated 58 Local ( -0.16, -0.73, 1.30) Global ( -0.16, -0.73, 1.30) +TGeoTessellated 59 Local ( 0.00, -0.74, 1.30) Global ( 0.00, -0.74, 1.30) +TGeoTessellated 60 Local ( -0.00, -0.75, 1.70) Global ( -0.00, -0.75, 1.70) +TGeoTessellated 61 Local ( -0.08, -0.75, 1.70) Global ( -0.08, -0.75, 1.70) +TGeoTessellated 62 Local ( -0.15, -0.75, 1.70) Global ( -0.15, -0.75, 1.70) +TGeoTessellated 63 Local ( -0.24, -0.73, 1.30) Global ( -0.24, -0.73, 1.30) +TGeoTessellated 64 Local ( -0.24, -0.74, 1.70) Global ( -0.24, -0.74, 1.70) +TGeoTessellated 65 Local ( -0.84, 0.47, 1.51) Global ( -0.84, 0.47, 1.51) +TGeoTessellated 66 Local ( -0.79, 0.50, 1.51) Global ( -0.79, 0.50, 1.51) +TGeoTessellated 67 Local ( -0.80, 0.52, 1.31) Global ( -0.80, 0.52, 1.31) +TGeoTessellated 68 Local ( -0.84, 0.49, 1.30) Global ( -0.84, 0.49, 1.30) +TGeoTessellated 69 Local ( -0.89, 0.44, 1.29) Global ( -0.89, 0.44, 1.29) +TGeoTessellated 70 Local ( -0.87, 0.42, 1.51) Global ( -0.87, 0.42, 1.51) +TGeoTessellated 71 Local ( -0.88, 0.42, 1.74) Global ( -0.88, 0.42, 1.74) +TGeoTessellated 72 Local ( -0.84, 0.46, 1.74) Global ( -0.84, 0.46, 1.74) +TGeoTessellated 73 Local ( -0.80, 0.49, 1.73) Global ( -0.80, 0.49, 1.73) +TGeoTessellated 74 Local ( -0.73, 0.51, 1.51) Global ( -0.73, 0.51, 1.51) +TGeoTessellated 75 Local ( -0.74, 0.54, 1.31) Global ( -0.74, 0.54, 1.31) +TGeoTessellated 76 Local ( -0.74, 0.51, 1.73) Global ( -0.74, 0.51, 1.73) +TGeoTessellated 77 Local ( -0.67, 0.52, 1.73) Global ( -0.67, 0.52, 1.73) +TGeoTessellated 78 Local ( -0.67, 0.52, 1.51) Global ( -0.67, 0.52, 1.51) +TGeoTessellated 79 Local ( -0.67, 0.55, 1.31) Global ( -0.67, 0.55, 1.31) +TGeoTessellated 80 Local ( -0.75, 0.59, 1.11) Global ( -0.75, 0.59, 1.11) +TGeoTessellated 81 Local ( -0.81, 0.57, 1.11) Global ( -0.81, 0.57, 1.11) +TGeoTessellated 82 Local ( -0.68, 0.60, 1.11) Global ( -0.68, 0.60, 1.11) +TGeoTessellated 83 Local ( -0.68, 0.66, 0.92) Global ( -0.68, 0.66, 0.92) +TGeoTessellated 84 Local ( -0.76, 0.64, 0.93) Global ( -0.76, 0.64, 0.93) +TGeoTessellated 85 Local ( -0.82, 0.62, 0.93) Global ( -0.82, 0.62, 0.93) +TGeoTessellated 86 Local ( -0.86, 0.54, 1.11) Global ( -0.86, 0.54, 1.11) +TGeoTessellated 87 Local ( -0.88, 0.59, 0.93) Global ( -0.88, 0.59, 0.93) +TGeoTessellated 88 Local ( -0.93, 0.53, 0.91) Global ( -0.93, 0.53, 0.91) +TGeoTessellated 89 Local ( -0.90, 0.48, 1.09) Global ( -0.90, 0.48, 1.09) +TGeoTessellated 90 Local ( -0.59, 0.53, 1.51) Global ( -0.59, 0.53, 1.51) +TGeoTessellated 91 Local ( -0.50, 0.54, 1.51) Global ( -0.50, 0.54, 1.51) +TGeoTessellated 92 Local ( -0.50, 0.57, 1.30) Global ( -0.50, 0.57, 1.30) +TGeoTessellated 93 Local ( -0.59, 0.56, 1.31) Global ( -0.59, 0.56, 1.31) +TGeoTessellated 94 Local ( -0.59, 0.53, 1.72) Global ( -0.59, 0.53, 1.72) +TGeoTessellated 95 Local ( -0.50, 0.54, 1.72) Global ( -0.50, 0.54, 1.72) +TGeoTessellated 96 Local ( -0.40, 0.55, 1.51) Global ( -0.40, 0.55, 1.51) +TGeoTessellated 97 Local ( -0.41, 0.57, 1.30) Global ( -0.41, 0.57, 1.30) +TGeoTessellated 98 Local ( -0.41, 0.55, 1.72) Global ( -0.41, 0.55, 1.72) +TGeoTessellated 99 Local ( -0.32, 0.55, 1.72) Global ( -0.32, 0.55, 1.72) +TGeoTessellated 100 Local ( -0.31, 0.55, 1.51) Global ( -0.31, 0.55, 1.51) +TGeoTessellated 101 Local ( -0.31, 0.57, 1.30) Global ( -0.31, 0.57, 1.30) +TGeoTessellated 102 Local ( -0.41, 0.62, 1.10) Global ( -0.41, 0.62, 1.10) +TGeoTessellated 103 Local ( -0.50, 0.62, 1.10) Global ( -0.50, 0.62, 1.10) +TGeoTessellated 104 Local ( -0.31, 0.62, 1.10) Global ( -0.31, 0.62, 1.10) +TGeoTessellated 105 Local ( -0.31, 0.67, 0.89) Global ( -0.31, 0.67, 0.89) +TGeoTessellated 106 Local ( -0.40, 0.67, 0.89) Global ( -0.40, 0.67, 0.89) +TGeoTessellated 107 Local ( -0.50, 0.67, 0.90) Global ( -0.50, 0.67, 0.90) +TGeoTessellated 108 Local ( -0.59, 0.61, 1.11) Global ( -0.59, 0.61, 1.11) +TGeoTessellated 109 Local ( -0.60, 0.66, 0.91) Global ( -0.60, 0.66, 0.91) +TGeoTessellated 110 Local ( -0.23, 0.54, 1.51) Global ( -0.23, 0.54, 1.51) +TGeoTessellated 111 Local ( -0.15, 0.54, 1.51) Global ( -0.15, 0.54, 1.51) +TGeoTessellated 112 Local ( -0.15, 0.56, 1.30) Global ( -0.15, 0.56, 1.30) +TGeoTessellated 113 Local ( -0.23, 0.57, 1.30) Global ( -0.23, 0.57, 1.30) +TGeoTessellated 114 Local ( -0.23, 0.54, 1.72) Global ( -0.23, 0.54, 1.72) +TGeoTessellated 115 Local ( -0.15, 0.54, 1.72) Global ( -0.15, 0.54, 1.72) +TGeoTessellated 116 Local ( -0.07, 0.53, 1.51) Global ( -0.07, 0.53, 1.51) +TGeoTessellated 117 Local ( -0.07, 0.56, 1.30) Global ( -0.07, 0.56, 1.30) +TGeoTessellated 118 Local ( -0.07, 0.53, 1.72) Global ( -0.07, 0.53, 1.72) +TGeoTessellated 119 Local ( 0.00, 0.53, 1.72) Global ( 0.00, 0.53, 1.72) +TGeoTessellated 120 Local ( 0.00, 0.53, 1.51) Global ( 0.00, 0.53, 1.51) +TGeoTessellated 121 Local ( 0.00, 0.56, 1.30) Global ( 0.00, 0.56, 1.30) +TGeoTessellated 122 Local ( -0.07, 0.60, 1.09) Global ( -0.07, 0.60, 1.09) +TGeoTessellated 123 Local ( -0.15, 0.61, 1.09) Global ( -0.15, 0.61, 1.09) +TGeoTessellated 124 Local ( 0.00, 0.60, 1.09) Global ( 0.00, 0.60, 1.09) +TGeoTessellated 125 Local ( -0.00, 0.65, 0.88) Global ( -0.00, 0.65, 0.88) +TGeoTessellated 126 Local ( -0.07, 0.65, 0.88) Global ( -0.07, 0.65, 0.88) +TGeoTessellated 127 Local ( -0.15, 0.66, 0.88) Global ( -0.15, 0.66, 0.88) +TGeoTessellated 128 Local ( -0.23, 0.61, 1.09) Global ( -0.23, 0.61, 1.09) +TGeoTessellated 129 Local ( -0.23, 0.66, 0.88) Global ( -0.23, 0.66, 0.88) +TGeoTessellated 130 Local ( -0.09, -0.73, 2.59) Global ( -0.09, -0.73, 2.59) +TGeoTessellated 131 Local ( -0.18, -0.72, 2.59) Global ( -0.18, -0.72, 2.59) +TGeoTessellated 132 Local ( -0.17, -0.74, 2.33) Global ( -0.17, -0.74, 2.33) +TGeoTessellated 133 Local ( -0.08, -0.75, 2.33) Global ( -0.08, -0.75, 2.33) +TGeoTessellated 134 Local ( 0.00, -0.75, 2.33) Global ( 0.00, -0.75, 2.33) +TGeoTessellated 135 Local ( 0.00, -0.73, 2.59) Global ( 0.00, -0.73, 2.59) +TGeoTessellated 136 Local ( -0.00, -0.69, 2.81) Global ( -0.00, -0.69, 2.81) +TGeoTessellated 137 Local ( -0.09, -0.69, 2.81) Global ( -0.09, -0.69, 2.81) +TGeoTessellated 138 Local ( -0.19, -0.69, 2.81) Global ( -0.19, -0.69, 2.81) +TGeoTessellated 139 Local ( -0.27, -0.72, 2.59) Global ( -0.27, -0.72, 2.59) +TGeoTessellated 140 Local ( -0.26, -0.74, 2.33) Global ( -0.26, -0.74, 2.33) +TGeoTessellated 141 Local ( -0.29, -0.68, 2.81) Global ( -0.29, -0.68, 2.81) +TGeoTessellated 142 Local ( -0.39, -0.66, 2.82) Global ( -0.39, -0.66, 2.82) +TGeoTessellated 143 Local ( -0.37, -0.70, 2.59) Global ( -0.37, -0.70, 2.59) +TGeoTessellated 144 Local ( -0.35, -0.72, 2.33) Global ( -0.35, -0.72, 2.33) +TGeoTessellated 145 Local ( -0.24, -0.74, 2.04) Global ( -0.24, -0.74, 2.04) +TGeoTessellated 146 Local ( -0.16, -0.75, 2.04) Global ( -0.16, -0.75, 2.04) +TGeoTessellated 147 Local ( -0.33, -0.73, 2.04) Global ( -0.33, -0.73, 2.04) +TGeoTessellated 148 Local ( -0.08, -0.75, 2.04) Global ( -0.08, -0.75, 2.04) +TGeoTessellated 149 Local ( 0.00, -0.75, 2.04) Global ( 0.00, -0.75, 2.04) +TGeoTessellated 150 Local ( -0.48, -0.67, 2.59) Global ( -0.48, -0.67, 2.59) +TGeoTessellated 151 Local ( -0.58, -0.63, 2.59) Global ( -0.58, -0.63, 2.59) +TGeoTessellated 152 Local ( -0.55, -0.66, 2.33) Global ( -0.55, -0.66, 2.33) +TGeoTessellated 153 Local ( -0.45, -0.70, 2.33) Global ( -0.45, -0.70, 2.33) +TGeoTessellated 154 Local ( -0.50, -0.63, 2.82) Global ( -0.50, -0.63, 2.82) +TGeoTessellated 155 Local ( -0.62, -0.59, 2.82) Global ( -0.62, -0.59, 2.82) +TGeoTessellated 156 Local ( -0.69, -0.59, 2.59) Global ( -0.69, -0.59, 2.59) +TGeoTessellated 157 Local ( -0.65, -0.62, 2.33) Global ( -0.65, -0.62, 2.33) +TGeoTessellated 158 Local ( -0.73, -0.54, 2.82) Global ( -0.73, -0.54, 2.82) +TGeoTessellated 159 Local ( -0.83, -0.48, 2.82) Global ( -0.83, -0.48, 2.82) +TGeoTessellated 160 Local ( -0.78, -0.53, 2.59) Global ( -0.78, -0.53, 2.59) +TGeoTessellated 161 Local ( -0.74, -0.57, 2.33) Global ( -0.74, -0.57, 2.33) +TGeoTessellated 162 Local ( -0.62, -0.64, 2.04) Global ( -0.62, -0.64, 2.04) +TGeoTessellated 163 Local ( -0.53, -0.68, 2.04) Global ( -0.53, -0.68, 2.04) +TGeoTessellated 164 Local ( -0.71, -0.60, 2.04) Global ( -0.71, -0.60, 2.04) +TGeoTessellated 165 Local ( -0.43, -0.71, 2.04) Global ( -0.43, -0.71, 2.04) +TGeoTessellated 166 Local ( -0.86, -0.47, 2.59) Global ( -0.86, -0.47, 2.59) +TGeoTessellated 167 Local ( -0.92, -0.40, 2.58) Global ( -0.92, -0.40, 2.58) +TGeoTessellated 168 Local ( -0.87, -0.45, 2.33) Global ( -0.87, -0.45, 2.33) +TGeoTessellated 169 Local ( -0.81, -0.51, 2.33) Global ( -0.81, -0.51, 2.33) +TGeoTessellated 170 Local ( -0.91, -0.42, 2.82) Global ( -0.91, -0.42, 2.82) +TGeoTessellated 171 Local ( -0.98, -0.35, 2.80) Global ( -0.98, -0.35, 2.80) +TGeoTessellated 172 Local ( -0.98, -0.31, 2.56) Global ( -0.98, -0.31, 2.56) +TGeoTessellated 173 Local ( -0.92, -0.37, 2.32) Global ( -0.92, -0.37, 2.32) +TGeoTessellated 174 Local ( -1.04, -0.26, 2.76) Global ( -1.04, -0.26, 2.76) +TGeoTessellated 175 Local ( -1.10, -0.15, 2.68) Global ( -1.10, -0.15, 2.68) +TGeoTessellated 176 Local ( -1.02, -0.22, 2.52) Global ( -1.02, -0.22, 2.52) +TGeoTessellated 177 Local ( -0.96, -0.29, 2.30) Global ( -0.96, -0.29, 2.30) +TGeoTessellated 178 Local ( -0.88, -0.42, 2.04) Global ( -0.88, -0.42, 2.04) +TGeoTessellated 179 Local ( -0.83, -0.49, 2.04) Global ( -0.83, -0.49, 2.04) +TGeoTessellated 180 Local ( -0.91, -0.34, 2.03) Global ( -0.91, -0.34, 2.03) +TGeoTessellated 181 Local ( -0.78, -0.54, 2.04) Global ( -0.78, -0.54, 2.04) +TGeoTessellated 182 Local ( -0.96, 0.62, 2.45) Global ( -0.96, 0.62, 2.45) +TGeoTessellated 183 Local ( -0.90, 0.65, 2.46) Global ( -0.90, 0.65, 2.46) +TGeoTessellated 184 Local ( -0.86, 0.59, 2.21) Global ( -0.86, 0.59, 2.21) +TGeoTessellated 185 Local ( -0.90, 0.55, 2.22) Global ( -0.90, 0.55, 2.22) +TGeoTessellated 186 Local ( -0.94, 0.50, 2.22) Global ( -0.94, 0.50, 2.22) +TGeoTessellated 187 Local ( -1.00, 0.57, 2.44) Global ( -1.00, 0.57, 2.44) +TGeoTessellated 188 Local ( -1.08, 0.64, 2.61) Global ( -1.08, 0.64, 2.61) +TGeoTessellated 189 Local ( -1.02, 0.67, 2.67) Global ( -1.02, 0.67, 2.67) +TGeoTessellated 190 Local ( -0.96, 0.69, 2.69) Global ( -0.96, 0.69, 2.69) +TGeoTessellated 191 Local ( -0.84, 0.67, 2.45) Global ( -0.84, 0.67, 2.45) +TGeoTessellated 192 Local ( -0.80, 0.61, 2.20) Global ( -0.80, 0.61, 2.20) +TGeoTessellated 193 Local ( -0.89, 0.71, 2.69) Global ( -0.89, 0.71, 2.69) +TGeoTessellated 194 Local ( -0.80, 0.73, 2.68) Global ( -0.80, 0.73, 2.68) +TGeoTessellated 195 Local ( -0.76, 0.68, 2.43) Global ( -0.76, 0.68, 2.43) +TGeoTessellated 196 Local ( -0.72, 0.62, 2.19) Global ( -0.72, 0.62, 2.19) +TGeoTessellated 197 Local ( -0.76, 0.55, 1.96) Global ( -0.76, 0.55, 1.96) +TGeoTessellated 198 Local ( -0.82, 0.53, 1.97) Global ( -0.82, 0.53, 1.97) +TGeoTessellated 199 Local ( -0.69, 0.56, 1.95) Global ( -0.69, 0.56, 1.95) +TGeoTessellated 200 Local ( -0.87, 0.50, 1.98) Global ( -0.87, 0.50, 1.98) +TGeoTessellated 201 Local ( -0.90, 0.45, 1.98) Global ( -0.90, 0.45, 1.98) +TGeoTessellated 202 Local ( -0.67, 0.70, 2.42) Global ( -0.67, 0.70, 2.42) +TGeoTessellated 203 Local ( -0.57, 0.72, 2.41) Global ( -0.57, 0.72, 2.41) +TGeoTessellated 204 Local ( -0.54, 0.65, 2.17) Global ( -0.54, 0.65, 2.17) +TGeoTessellated 205 Local ( -0.63, 0.63, 2.18) Global ( -0.63, 0.63, 2.18) +TGeoTessellated 206 Local ( -0.71, 0.75, 2.66) Global ( -0.71, 0.75, 2.66) +TGeoTessellated 207 Local ( -0.60, 0.77, 2.65) Global ( -0.60, 0.77, 2.65) +TGeoTessellated 208 Local ( -0.46, 0.73, 2.40) Global ( -0.46, 0.73, 2.40) +TGeoTessellated 209 Local ( -0.44, 0.66, 2.16) Global ( -0.44, 0.66, 2.16) +TGeoTessellated 210 Local ( -0.49, 0.79, 2.64) Global ( -0.49, 0.79, 2.64) +TGeoTessellated 211 Local ( -0.38, 0.80, 2.63) Global ( -0.38, 0.80, 2.63) +TGeoTessellated 212 Local ( -0.36, 0.74, 2.39) Global ( -0.36, 0.74, 2.39) +TGeoTessellated 213 Local ( -0.34, 0.66, 2.16) Global ( -0.34, 0.66, 2.16) +TGeoTessellated 214 Local ( -0.42, 0.59, 1.94) Global ( -0.42, 0.59, 1.94) +TGeoTessellated 215 Local ( -0.51, 0.58, 1.94) Global ( -0.51, 0.58, 1.94) +TGeoTessellated 216 Local ( -0.32, 0.59, 1.93) Global ( -0.32, 0.59, 1.93) +TGeoTessellated 217 Local ( -0.61, 0.57, 1.95) Global ( -0.61, 0.57, 1.95) +TGeoTessellated 218 Local ( -0.26, 0.74, 2.39) Global ( -0.26, 0.74, 2.39) +TGeoTessellated 219 Local ( -0.17, 0.73, 2.38) Global ( -0.17, 0.73, 2.38) +TGeoTessellated 220 Local ( -0.16, 0.66, 2.15) Global ( -0.16, 0.66, 2.15) +TGeoTessellated 221 Local ( -0.25, 0.66, 2.16) Global ( -0.25, 0.66, 2.16) +TGeoTessellated 222 Local ( -0.28, 0.80, 2.63) Global ( -0.28, 0.80, 2.63) +TGeoTessellated 223 Local ( -0.18, 0.79, 2.62) Global ( -0.18, 0.79, 2.62) +TGeoTessellated 224 Local ( -0.08, 0.72, 2.38) Global ( -0.08, 0.72, 2.38) +TGeoTessellated 225 Local ( -0.08, 0.65, 2.15) Global ( -0.08, 0.65, 2.15) +TGeoTessellated 226 Local ( -0.09, 0.79, 2.62) Global ( -0.09, 0.79, 2.62) +TGeoTessellated 227 Local ( 0.00, 0.78, 2.62) Global ( 0.00, 0.78, 2.62) +TGeoTessellated 228 Local ( 0.00, 0.72, 2.38) Global ( 0.00, 0.72, 2.38) +TGeoTessellated 229 Local ( 0.00, 0.65, 2.15) Global ( 0.00, 0.65, 2.15) +TGeoTessellated 230 Local ( -0.08, 0.58, 1.93) Global ( -0.08, 0.58, 1.93) +TGeoTessellated 231 Local ( -0.16, 0.59, 1.93) Global ( -0.16, 0.59, 1.93) +TGeoTessellated 232 Local ( 0.00, 0.58, 1.93) Global ( 0.00, 0.58, 1.93) +TGeoTessellated 233 Local ( -0.24, 0.59, 1.93) Global ( -0.24, 0.59, 1.93) +TGeoTessellated 234 Local ( -1.19, 0.66, 3.22) Global ( -1.19, 0.66, 3.22) +TGeoTessellated 235 Local ( -1.11, 0.67, 3.31) Global ( -1.11, 0.67, 3.31) +TGeoTessellated 236 Local ( -1.06, 0.71, 3.13) Global ( -1.06, 0.71, 3.13) +TGeoTessellated 237 Local ( -1.14, 0.69, 3.06) Global ( -1.14, 0.69, 3.06) +TGeoTessellated 238 Local ( -1.20, 0.68, 2.93) Global ( -1.20, 0.68, 2.93) +TGeoTessellated 239 Local ( -1.26, 0.65, 3.07) Global ( -1.26, 0.65, 3.07) +TGeoTessellated 240 Local ( -1.31, 0.60, 3.18) Global ( -1.31, 0.60, 3.18) +TGeoTessellated 241 Local ( -1.23, 0.61, 3.35) Global ( -1.23, 0.61, 3.35) +TGeoTessellated 242 Local ( -1.15, 0.62, 3.45) Global ( -1.15, 0.62, 3.45) +TGeoTessellated 243 Local ( -1.02, 0.69, 3.36) Global ( -1.02, 0.69, 3.36) +TGeoTessellated 244 Local ( -0.98, 0.73, 3.15) Global ( -0.98, 0.73, 3.15) +TGeoTessellated 245 Local ( -1.05, 0.63, 3.52) Global ( -1.05, 0.63, 3.52) +TGeoTessellated 246 Local ( -0.92, 0.64, 3.59) Global ( -0.92, 0.64, 3.59) +TGeoTessellated 247 Local ( -0.91, 0.71, 3.38) Global ( -0.91, 0.71, 3.38) +TGeoTessellated 248 Local ( -0.89, 0.75, 3.16) Global ( -0.89, 0.75, 3.16) +TGeoTessellated 249 Local ( -0.94, 0.73, 2.93) Global ( -0.94, 0.73, 2.93) +TGeoTessellated 250 Local ( -1.01, 0.71, 2.92) Global ( -1.01, 0.71, 2.92) +TGeoTessellated 251 Local ( -0.85, 0.75, 2.92) Global ( -0.85, 0.75, 2.92) +TGeoTessellated 252 Local ( -1.08, 0.69, 2.88) Global ( -1.08, 0.69, 2.88) +TGeoTessellated 253 Local ( -1.14, 0.68, 2.77) Global ( -1.14, 0.68, 2.77) +TGeoTessellated 254 Local ( -0.80, 0.74, 3.37) Global ( -0.80, 0.74, 3.37) +TGeoTessellated 255 Local ( -0.67, 0.77, 3.36) Global ( -0.67, 0.77, 3.36) +TGeoTessellated 256 Local ( -0.66, 0.80, 3.14) Global ( -0.66, 0.80, 3.14) +TGeoTessellated 257 Local ( -0.78, 0.77, 3.15) Global ( -0.78, 0.77, 3.15) +TGeoTessellated 258 Local ( -0.78, 0.69, 3.56) Global ( -0.78, 0.69, 3.56) +TGeoTessellated 259 Local ( -0.66, 0.73, 3.55) Global ( -0.66, 0.73, 3.55) +TGeoTessellated 260 Local ( -0.54, 0.79, 3.35) Global ( -0.54, 0.79, 3.35) +TGeoTessellated 261 Local ( -0.53, 0.81, 3.13) Global ( -0.53, 0.81, 3.13) +TGeoTessellated 262 Local ( -0.54, 0.75, 3.54) Global ( -0.54, 0.75, 3.54) +TGeoTessellated 263 Local ( -0.42, 0.76, 3.53) Global ( -0.42, 0.76, 3.53) +TGeoTessellated 264 Local ( -0.42, 0.80, 3.34) Global ( -0.42, 0.80, 3.34) +TGeoTessellated 265 Local ( -0.42, 0.82, 3.12) Global ( -0.42, 0.82, 3.12) +TGeoTessellated 266 Local ( -0.51, 0.81, 2.89) Global ( -0.51, 0.81, 2.89) +TGeoTessellated 267 Local ( -0.63, 0.80, 2.90) Global ( -0.63, 0.80, 2.90) +TGeoTessellated 268 Local ( -0.40, 0.82, 2.88) Global ( -0.40, 0.82, 2.88) +TGeoTessellated 269 Local ( -0.74, 0.78, 2.91) Global ( -0.74, 0.78, 2.91) +TGeoTessellated 270 Local ( -0.31, 0.80, 3.34) Global ( -0.31, 0.80, 3.34) +TGeoTessellated 271 Local ( -0.20, 0.80, 3.33) Global ( -0.20, 0.80, 3.33) +TGeoTessellated 272 Local ( -0.20, 0.82, 3.11) Global ( -0.20, 0.82, 3.11) +TGeoTessellated 273 Local ( -0.30, 0.82, 3.11) Global ( -0.30, 0.82, 3.11) +TGeoTessellated 274 Local ( -0.31, 0.76, 3.53) Global ( -0.31, 0.76, 3.53) +TGeoTessellated 275 Local ( -0.20, 0.76, 3.52) Global ( -0.20, 0.76, 3.52) +TGeoTessellated 276 Local ( -0.10, 0.79, 3.33) Global ( -0.10, 0.79, 3.33) +TGeoTessellated 277 Local ( -0.10, 0.81, 3.11) Global ( -0.10, 0.81, 3.11) +TGeoTessellated 278 Local ( -0.10, 0.75, 3.52) Global ( -0.10, 0.75, 3.52) +TGeoTessellated 279 Local ( 0.00, 0.74, 3.52) Global ( 0.00, 0.74, 3.52) +TGeoTessellated 280 Local ( 0.00, 0.78, 3.33) Global ( 0.00, 0.78, 3.33) +TGeoTessellated 281 Local ( -0.00, 0.81, 3.11) Global ( -0.00, 0.81, 3.11) +TGeoTessellated 282 Local ( -0.09, 0.81, 2.87) Global ( -0.09, 0.81, 2.87) +TGeoTessellated 283 Local ( -0.19, 0.82, 2.87) Global ( -0.19, 0.82, 2.87) +TGeoTessellated 284 Local ( 0.00, 0.81, 2.87) Global ( 0.00, 0.81, 2.87) +TGeoTessellated 285 Local ( -0.29, 0.82, 2.87) Global ( -0.29, 0.82, 2.87) +TGeoTessellated 286 Local ( -0.10, -0.52, 3.38) Global ( -0.10, -0.52, 3.38) +TGeoTessellated 287 Local ( -0.21, -0.52, 3.38) Global ( -0.21, -0.52, 3.38) +TGeoTessellated 288 Local ( -0.20, -0.59, 3.21) Global ( -0.20, -0.59, 3.21) +TGeoTessellated 289 Local ( -0.10, -0.59, 3.21) Global ( -0.10, -0.59, 3.21) +TGeoTessellated 290 Local ( 0.00, -0.59, 3.21) Global ( 0.00, -0.59, 3.21) +TGeoTessellated 291 Local ( 0.00, -0.52, 3.38) Global ( 0.00, -0.52, 3.38) +TGeoTessellated 292 Local ( 0.00, -0.44, 3.53) Global ( 0.00, -0.44, 3.53) +TGeoTessellated 293 Local ( -0.10, -0.44, 3.53) Global ( -0.10, -0.44, 3.53) +TGeoTessellated 294 Local ( -0.21, -0.44, 3.53) Global ( -0.21, -0.44, 3.53) +TGeoTessellated 295 Local ( -0.32, -0.51, 3.38) Global ( -0.32, -0.51, 3.38) +TGeoTessellated 296 Local ( -0.31, -0.58, 3.21) Global ( -0.31, -0.58, 3.21) +TGeoTessellated 297 Local ( -0.31, -0.43, 3.53) Global ( -0.31, -0.43, 3.53) +TGeoTessellated 298 Local ( -0.42, -0.41, 3.53) Global ( -0.42, -0.41, 3.53) +TGeoTessellated 299 Local ( -0.43, -0.49, 3.39) Global ( -0.43, -0.49, 3.39) +TGeoTessellated 300 Local ( -0.42, -0.56, 3.22) Global ( -0.42, -0.56, 3.22) +TGeoTessellated 301 Local ( -0.30, -0.64, 3.02) Global ( -0.30, -0.64, 3.02) +TGeoTessellated 302 Local ( -0.20, -0.64, 3.02) Global ( -0.20, -0.64, 3.02) +TGeoTessellated 303 Local ( -0.41, -0.62, 3.03) Global ( -0.41, -0.62, 3.03) +TGeoTessellated 304 Local ( -0.10, -0.65, 3.02) Global ( -0.10, -0.65, 3.02) +TGeoTessellated 305 Local ( 0.00, -0.65, 3.02) Global ( 0.00, -0.65, 3.02) +TGeoTessellated 306 Local ( -0.55, -0.45, 3.39) Global ( -0.55, -0.45, 3.39) +TGeoTessellated 307 Local ( -0.68, -0.40, 3.40) Global ( -0.68, -0.40, 3.40) +TGeoTessellated 308 Local ( -0.67, -0.47, 3.22) Global ( -0.67, -0.47, 3.22) +TGeoTessellated 309 Local ( -0.54, -0.52, 3.22) Global ( -0.54, -0.52, 3.22) +TGeoTessellated 310 Local ( -0.54, -0.38, 3.54) Global ( -0.54, -0.38, 3.54) +TGeoTessellated 311 Local ( -0.66, -0.33, 3.54) Global ( -0.66, -0.33, 3.54) +TGeoTessellated 312 Local ( -0.80, -0.35, 3.40) Global ( -0.80, -0.35, 3.40) +TGeoTessellated 313 Local ( -0.79, -0.42, 3.23) Global ( -0.79, -0.42, 3.23) +TGeoTessellated 314 Local ( -0.79, -0.27, 3.56) Global ( -0.79, -0.27, 3.56) +TGeoTessellated 315 Local ( -0.93, -0.19, 3.57) Global ( -0.93, -0.19, 3.57) +TGeoTessellated 316 Local ( -0.92, -0.29, 3.40) Global ( -0.92, -0.29, 3.40) +TGeoTessellated 317 Local ( -0.90, -0.36, 3.22) Global ( -0.90, -0.36, 3.22) +TGeoTessellated 318 Local ( -0.76, -0.49, 3.03) Global ( -0.76, -0.49, 3.03) +TGeoTessellated 319 Local ( -0.65, -0.54, 3.03) Global ( -0.65, -0.54, 3.03) +TGeoTessellated 320 Local ( -0.87, -0.43, 3.03) Global ( -0.87, -0.43, 3.03) +TGeoTessellated 321 Local ( -0.53, -0.58, 3.03) Global ( -0.53, -0.58, 3.03) +TGeoTessellated 322 Local ( -1.03, -0.25, 3.38) Global ( -1.03, -0.25, 3.38) +TGeoTessellated 323 Local ( -1.12, -0.21, 3.32) Global ( -1.12, -0.21, 3.32) +TGeoTessellated 324 Local ( -1.08, -0.26, 3.18) Global ( -1.08, -0.26, 3.18) +TGeoTessellated 325 Local ( -1.00, -0.31, 3.21) Global ( -1.00, -0.31, 3.21) +TGeoTessellated 326 Local ( -1.06, -0.17, 3.51) Global ( -1.06, -0.17, 3.51) +TGeoTessellated 327 Local ( -1.15, -0.14, 3.44) Global ( -1.15, -0.14, 3.44) +TGeoTessellated 328 Local ( -1.20, -0.16, 3.23) Global ( -1.20, -0.16, 3.23) +TGeoTessellated 329 Local ( -1.15, -0.20, 3.10) Global ( -1.15, -0.20, 3.10) +TGeoTessellated 330 Local ( -1.24, -0.11, 3.33) Global ( -1.24, -0.11, 3.33) +TGeoTessellated 331 Local ( -1.31, -0.07, 3.16) Global ( -1.31, -0.07, 3.16) +TGeoTessellated 332 Local ( -1.27, -0.11, 3.07) Global ( -1.27, -0.11, 3.07) +TGeoTessellated 333 Local ( -1.22, -0.14, 2.95) Global ( -1.22, -0.14, 2.95) +TGeoTessellated 334 Local ( -1.10, -0.23, 2.94) Global ( -1.10, -0.23, 2.94) +TGeoTessellated 335 Local ( -1.03, -0.30, 3.00) Global ( -1.03, -0.30, 3.00) +TGeoTessellated 336 Local ( -1.16, -0.15, 2.82) Global ( -1.16, -0.15, 2.82) +TGeoTessellated 337 Local ( -0.95, -0.37, 3.02) Global ( -0.95, -0.37, 3.02) +TGeoTessellated 338 Local ( -1.34, -0.05, 2.82) Global ( -1.34, -0.05, 2.82) +TGeoTessellated 339 Local ( -1.42, 0.01, 2.50) Global ( -1.42, 0.01, 2.50) +TGeoTessellated 340 Local ( -1.36, 0.00, 2.42) Global ( -1.36, 0.00, 2.42) +TGeoTessellated 341 Local ( -1.28, -0.06, 2.72) Global ( -1.28, -0.06, 2.72) +TGeoTessellated 342 Local ( -1.38, -0.01, 2.90) Global ( -1.38, -0.01, 2.90) +TGeoTessellated 343 Local ( -1.46, 0.04, 2.57) Global ( -1.46, 0.04, 2.57) +TGeoTessellated 344 Local ( -1.51, 0.05, 2.14) Global ( -1.51, 0.05, 2.14) +TGeoTessellated 345 Local ( -1.45, 0.04, 2.08) Global ( -1.45, 0.04, 2.08) +TGeoTessellated 346 Local ( -1.56, 0.07, 2.20) Global ( -1.56, 0.07, 2.20) +TGeoTessellated 347 Local ( -1.68, 0.07, 1.80) Global ( -1.68, 0.07, 1.80) +TGeoTessellated 348 Local ( -1.63, 0.04, 1.75) Global ( -1.63, 0.04, 1.75) +TGeoTessellated 349 Local ( -1.57, 0.04, 1.70) Global ( -1.57, 0.04, 1.70) +TGeoTessellated 350 Local ( -1.40, 0.05, 2.01) Global ( -1.40, 0.05, 2.01) +TGeoTessellated 351 Local ( -1.31, 0.01, 2.34) Global ( -1.31, 0.01, 2.34) +TGeoTessellated 352 Local ( -1.52, 0.05, 1.65) Global ( -1.52, 0.05, 1.65) +TGeoTessellated 353 Local ( -1.47, 0.07, 1.60) Global ( -1.47, 0.07, 1.60) +TGeoTessellated 354 Local ( -1.35, 0.08, 1.95) Global ( -1.35, 0.08, 1.95) +TGeoTessellated 355 Local ( -1.26, 0.04, 2.27) Global ( -1.26, 0.04, 2.27) +TGeoTessellated 356 Local ( -1.23, -0.06, 2.62) Global ( -1.23, -0.06, 2.62) +TGeoTessellated 357 Local ( -1.18, -0.03, 2.52) Global ( -1.18, -0.03, 2.52) +TGeoTessellated 358 Local ( -1.78, -0.03, 1.36) Global ( -1.78, -0.03, 1.36) +TGeoTessellated 359 Local ( -1.94, -0.12, 1.00) Global ( -1.94, -0.12, 1.00) +TGeoTessellated 360 Local ( -1.90, -0.13, 0.95) Global ( -1.90, -0.13, 0.95) +TGeoTessellated 361 Local ( -1.73, -0.03, 1.32) Global ( -1.73, -0.03, 1.32) +TGeoTessellated 362 Local ( -1.83, -0.00, 1.40) Global ( -1.83, -0.00, 1.40) +TGeoTessellated 363 Local ( -1.99, -0.10, 1.05) Global ( -1.99, -0.10, 1.05) +TGeoTessellated 364 Local ( -2.08, -0.21, 0.71) Global ( -2.08, -0.21, 0.71) +TGeoTessellated 365 Local ( -2.05, -0.22, 0.65) Global ( -2.05, -0.22, 0.65) +TGeoTessellated 366 Local ( -2.11, -0.18, 0.76) Global ( -2.11, -0.18, 0.76) +TGeoTessellated 367 Local ( -2.19, -0.24, 0.58) Global ( -2.19, -0.24, 0.58) +TGeoTessellated 368 Local ( -2.20, -0.28, 0.48) Global ( -2.20, -0.28, 0.48) +TGeoTessellated 369 Local ( -2.18, -0.29, 0.41) Global ( -2.18, -0.29, 0.41) +TGeoTessellated 370 Local ( -2.00, -0.21, 0.62) Global ( -2.00, -0.21, 0.62) +TGeoTessellated 371 Local ( -1.85, -0.12, 0.91) Global ( -1.85, -0.12, 0.91) +TGeoTessellated 372 Local ( -2.12, -0.27, 0.40) Global ( -2.12, -0.27, 0.40) +TGeoTessellated 373 Local ( -2.06, -0.23, 0.44) Global ( -2.06, -0.23, 0.44) +TGeoTessellated 374 Local ( -1.95, -0.18, 0.60) Global ( -1.95, -0.18, 0.60) +TGeoTessellated 375 Local ( -1.80, -0.09, 0.88) Global ( -1.80, -0.09, 0.88) +TGeoTessellated 376 Local ( -1.68, -0.02, 1.27) Global ( -1.68, -0.02, 1.27) +TGeoTessellated 377 Local ( -1.63, 0.01, 1.22) Global ( -1.63, 0.01, 1.22) +TGeoTessellated 378 Local ( -1.21, 0.67, 2.58) Global ( -1.21, 0.67, 2.58) +TGeoTessellated 379 Local ( -1.29, 0.66, 2.31) Global ( -1.29, 0.66, 2.31) +TGeoTessellated 380 Local ( -1.35, 0.66, 2.41) Global ( -1.35, 0.66, 2.41) +TGeoTessellated 381 Local ( -1.27, 0.67, 2.70) Global ( -1.27, 0.67, 2.70) +TGeoTessellated 382 Local ( -1.16, 0.65, 2.47) Global ( -1.16, 0.65, 2.47) +TGeoTessellated 383 Local ( -1.24, 0.64, 2.23) Global ( -1.24, 0.64, 2.23) +TGeoTessellated 384 Local ( -1.38, 0.64, 1.99) Global ( -1.38, 0.64, 1.99) +TGeoTessellated 385 Local ( -1.44, 0.63, 2.07) Global ( -1.44, 0.63, 2.07) +TGeoTessellated 386 Local ( -1.33, 0.62, 1.93) Global ( -1.33, 0.62, 1.93) +TGeoTessellated 387 Local ( -1.45, 0.56, 1.57) Global ( -1.45, 0.56, 1.57) +TGeoTessellated 388 Local ( -1.50, 0.58, 1.63) Global ( -1.50, 0.58, 1.63) +TGeoTessellated 389 Local ( -1.56, 0.58, 1.69) Global ( -1.56, 0.58, 1.69) +TGeoTessellated 390 Local ( -1.50, 0.61, 2.15) Global ( -1.50, 0.61, 2.15) +TGeoTessellated 391 Local ( -1.41, 0.64, 2.51) Global ( -1.41, 0.64, 2.51) +TGeoTessellated 392 Local ( -1.62, 0.56, 1.76) Global ( -1.62, 0.56, 1.76) +TGeoTessellated 393 Local ( -1.68, 0.52, 1.81) Global ( -1.68, 0.52, 1.81) +TGeoTessellated 394 Local ( -1.56, 0.57, 2.21) Global ( -1.56, 0.57, 2.21) +TGeoTessellated 395 Local ( -1.46, 0.60, 2.59) Global ( -1.46, 0.60, 2.59) +TGeoTessellated 396 Local ( -1.33, 0.65, 2.82) Global ( -1.33, 0.65, 2.82) +TGeoTessellated 397 Local ( -1.38, 0.60, 2.92) Global ( -1.38, 0.60, 2.92) +TGeoTessellated 398 Local ( -1.66, 0.49, 1.25) Global ( -1.66, 0.49, 1.25) +TGeoTessellated 399 Local ( -1.83, 0.37, 0.90) Global ( -1.83, 0.37, 0.90) +TGeoTessellated 400 Local ( -1.89, 0.37, 0.95) Global ( -1.89, 0.37, 0.95) +TGeoTessellated 401 Local ( -1.72, 0.48, 1.31) Global ( -1.72, 0.48, 1.31) +TGeoTessellated 402 Local ( -1.61, 0.47, 1.20) Global ( -1.61, 0.47, 1.20) +TGeoTessellated 403 Local ( -1.78, 0.36, 0.86) Global ( -1.78, 0.36, 0.86) +TGeoTessellated 404 Local ( -1.99, 0.26, 0.61) Global ( -1.99, 0.26, 0.61) +TGeoTessellated 405 Local ( -2.04, 0.25, 0.64) Global ( -2.04, 0.25, 0.64) +TGeoTessellated 406 Local ( -1.94, 0.25, 0.58) Global ( -1.94, 0.25, 0.58) +TGeoTessellated 407 Local ( -2.04, 0.17, 0.43) Global ( -2.04, 0.17, 0.43) +TGeoTessellated 408 Local ( -2.11, 0.15, 0.39) Global ( -2.11, 0.15, 0.39) +TGeoTessellated 409 Local ( -2.17, 0.14, 0.40) Global ( -2.17, 0.14, 0.40) +TGeoTessellated 410 Local ( -2.08, 0.24, 0.71) Global ( -2.08, 0.24, 0.71) +TGeoTessellated 411 Local ( -1.94, 0.35, 1.01) Global ( -1.94, 0.35, 1.01) +TGeoTessellated 412 Local ( -2.19, 0.14, 0.48) Global ( -2.19, 0.14, 0.48) +TGeoTessellated 413 Local ( -2.19, 0.15, 0.59) Global ( -2.19, 0.15, 0.59) +TGeoTessellated 414 Local ( -2.11, 0.22, 0.77) Global ( -2.11, 0.22, 0.77) +TGeoTessellated 415 Local ( -1.99, 0.32, 1.06) Global ( -1.99, 0.32, 1.06) +TGeoTessellated 416 Local ( -1.78, 0.47, 1.37) Global ( -1.78, 0.47, 1.37) +TGeoTessellated 417 Local ( -1.83, 0.43, 1.42) Global ( -1.83, 0.43, 1.42) +TGeoTessellated 418 Local ( -0.16, -0.41, -0.45) Global ( -0.16, -0.41, -0.45) +TGeoTessellated 419 Local ( -0.10, -0.42, -0.41) Global ( -0.10, -0.42, -0.41) +TGeoTessellated 420 Local ( -0.12, -0.51, -0.29) Global ( -0.12, -0.51, -0.29) +TGeoTessellated 421 Local ( -0.19, -0.49, -0.30) Global ( -0.19, -0.49, -0.30) +TGeoTessellated 422 Local ( -0.28, -0.48, -0.30) Global ( -0.28, -0.48, -0.30) +TGeoTessellated 423 Local ( -0.25, -0.39, -0.48) Global ( -0.25, -0.39, -0.48) +TGeoTessellated 424 Local ( -0.23, -0.28, -0.72) Global ( -0.23, -0.28, -0.72) +TGeoTessellated 425 Local ( -0.14, -0.30, -0.55) Global ( -0.14, -0.30, -0.55) +TGeoTessellated 426 Local ( -0.08, -0.32, -0.48) Global ( -0.08, -0.32, -0.48) +TGeoTessellated 427 Local ( -0.05, -0.44, -0.39) Global ( -0.05, -0.44, -0.39) +TGeoTessellated 428 Local ( -0.06, -0.52, -0.29) Global ( -0.06, -0.52, -0.29) +TGeoTessellated 429 Local ( -0.04, -0.34, -0.45) Global ( -0.04, -0.34, -0.45) +TGeoTessellated 430 Local ( 0.00, -0.34, -0.45) Global ( 0.00, -0.34, -0.45) +TGeoTessellated 431 Local ( 0.00, -0.44, -0.39) Global ( 0.00, -0.44, -0.39) +TGeoTessellated 432 Local ( 0.00, -0.53, -0.28) Global ( 0.00, -0.53, -0.28) +TGeoTessellated 433 Local ( -0.07, -0.59, -0.11) Global ( -0.07, -0.59, -0.11) +TGeoTessellated 434 Local ( -0.14, -0.58, -0.12) Global ( -0.14, -0.58, -0.12) +TGeoTessellated 435 Local ( 0.00, -0.60, -0.11) Global ( 0.00, -0.60, -0.11) +TGeoTessellated 436 Local ( -0.22, -0.56, -0.12) Global ( -0.22, -0.56, -0.12) +TGeoTessellated 437 Local ( -0.31, -0.55, -0.10) Global ( -0.31, -0.55, -0.10) +TGeoTessellated 438 Local ( -0.65, -0.39, -0.36) Global ( -0.65, -0.39, -0.36) +TGeoTessellated 439 Local ( -0.51, -0.39, -0.42) Global ( -0.51, -0.39, -0.42) +TGeoTessellated 440 Local ( -0.52, -0.46, -0.22) Global ( -0.52, -0.46, -0.22) +TGeoTessellated 441 Local ( -0.65, -0.44, -0.16) Global ( -0.65, -0.44, -0.16) +TGeoTessellated 442 Local ( -0.76, -0.42, -0.11) Global ( -0.76, -0.42, -0.11) +TGeoTessellated 443 Local ( -0.77, -0.37, -0.30) Global ( -0.77, -0.37, -0.30) +TGeoTessellated 444 Local ( -0.78, -0.31, -0.58) Global ( -0.78, -0.31, -0.58) +TGeoTessellated 445 Local ( -0.66, -0.33, -0.64) Global ( -0.66, -0.33, -0.64) +TGeoTessellated 446 Local ( -0.52, -0.33, -0.69) Global ( -0.52, -0.33, -0.69) +TGeoTessellated 447 Local ( -0.38, -0.39, -0.46) Global ( -0.38, -0.39, -0.46) +TGeoTessellated 448 Local ( -0.40, -0.47, -0.27) Global ( -0.40, -0.47, -0.27) +TGeoTessellated 449 Local ( -0.38, -0.32, -0.73) Global ( -0.38, -0.32, -0.73) +TGeoTessellated 450 Local ( -0.42, -0.53, -0.08) Global ( -0.42, -0.53, -0.08) +TGeoTessellated 451 Local ( -0.54, -0.52, -0.04) Global ( -0.54, -0.52, -0.04) +TGeoTessellated 452 Local ( -0.65, -0.50, 0.01) Global ( -0.65, -0.50, 0.01) +TGeoTessellated 453 Local ( -0.76, -0.47, 0.06) Global ( -0.76, -0.47, 0.06) +TGeoTessellated 454 Local ( -1.02, -0.24, -0.18) Global ( -1.02, -0.24, -0.18) +TGeoTessellated 455 Local ( -0.96, -0.29, -0.22) Global ( -0.96, -0.29, -0.22) +TGeoTessellated 456 Local ( -0.94, -0.34, -0.02) Global ( -0.94, -0.34, -0.02) +TGeoTessellated 457 Local ( -1.00, -0.29, 0.02) Global ( -1.00, -0.29, 0.02) +TGeoTessellated 458 Local ( -1.05, -0.21, 0.07) Global ( -1.05, -0.21, 0.07) +TGeoTessellated 459 Local ( -1.07, -0.16, -0.14) Global ( -1.07, -0.16, -0.14) +TGeoTessellated 460 Local ( -1.09, -0.12, -0.45) Global ( -1.09, -0.12, -0.45) +TGeoTessellated 461 Local ( -1.04, -0.19, -0.48) Global ( -1.04, -0.19, -0.48) +TGeoTessellated 462 Local ( -0.97, -0.25, -0.51) Global ( -0.97, -0.25, -0.51) +TGeoTessellated 463 Local ( -0.87, -0.34, -0.25) Global ( -0.87, -0.34, -0.25) +TGeoTessellated 464 Local ( -0.86, -0.39, -0.06) Global ( -0.86, -0.39, -0.06) +TGeoTessellated 465 Local ( -0.88, -0.29, -0.54) Global ( -0.88, -0.29, -0.54) +TGeoTessellated 466 Local ( -0.85, -0.44, 0.10) Global ( -0.85, -0.44, 0.10) +TGeoTessellated 467 Local ( -0.92, -0.40, 0.15) Global ( -0.92, -0.40, 0.15) +TGeoTessellated 468 Local ( -0.98, -0.34, 0.19) Global ( -0.98, -0.34, 0.19) +TGeoTessellated 469 Local ( -1.02, -0.27, 0.24) Global ( -1.02, -0.27, 0.24) +TGeoTessellated 470 Local ( -0.06, 0.71, 0.22) Global ( -0.06, 0.71, 0.22) +TGeoTessellated 471 Local ( -0.12, 0.72, 0.21) Global ( -0.12, 0.72, 0.21) +TGeoTessellated 472 Local ( -0.13, 0.72, 0.43) Global ( -0.13, 0.72, 0.43) +TGeoTessellated 473 Local ( -0.06, 0.71, 0.43) Global ( -0.06, 0.71, 0.43) +TGeoTessellated 474 Local ( 0.00, 0.71, 0.43) Global ( 0.00, 0.71, 0.43) +TGeoTessellated 475 Local ( 0.00, 0.71, 0.22) Global ( 0.00, 0.71, 0.22) +TGeoTessellated 476 Local ( 0.00, 0.67, 0.04) Global ( 0.00, 0.67, 0.04) +TGeoTessellated 477 Local ( -0.05, 0.67, 0.04) Global ( -0.05, 0.67, 0.04) +TGeoTessellated 478 Local ( -0.10, 0.68, 0.01) Global ( -0.10, 0.68, 0.01) +TGeoTessellated 479 Local ( -0.18, 0.72, 0.17) Global ( -0.18, 0.72, 0.17) +TGeoTessellated 480 Local ( -0.20, 0.73, 0.42) Global ( -0.20, 0.73, 0.42) +TGeoTessellated 481 Local ( -0.17, 0.69, -0.07) Global ( -0.17, 0.69, -0.07) +TGeoTessellated 482 Local ( -0.26, 0.69, -0.26) Global ( -0.26, 0.69, -0.26) +TGeoTessellated 483 Local ( -0.27, 0.74, 0.13) Global ( -0.27, 0.74, 0.13) +TGeoTessellated 484 Local ( -0.28, 0.73, 0.42) Global ( -0.28, 0.73, 0.42) +TGeoTessellated 485 Local ( -0.22, 0.70, 0.66) Global ( -0.22, 0.70, 0.66) +TGeoTessellated 486 Local ( -0.14, 0.70, 0.65) Global ( -0.14, 0.70, 0.65) +TGeoTessellated 487 Local ( -0.30, 0.71, 0.67) Global ( -0.30, 0.71, 0.67) +TGeoTessellated 488 Local ( -0.07, 0.69, 0.65) Global ( -0.07, 0.69, 0.65) +TGeoTessellated 489 Local ( 0.00, 0.69, 0.65) Global ( 0.00, 0.69, 0.65) +TGeoTessellated 490 Local ( -0.37, 0.75, 0.14) Global ( -0.37, 0.75, 0.14) +TGeoTessellated 491 Local ( -0.47, 0.77, 0.17) Global ( -0.47, 0.77, 0.17) +TGeoTessellated 492 Local ( -0.48, 0.75, 0.47) Global ( -0.48, 0.75, 0.47) +TGeoTessellated 493 Local ( -0.38, 0.74, 0.44) Global ( -0.38, 0.74, 0.44) +TGeoTessellated 494 Local ( -0.37, 0.74, -0.26) Global ( -0.37, 0.74, -0.26) +TGeoTessellated 495 Local ( -0.48, 0.76, -0.24) Global ( -0.48, 0.76, -0.24) +TGeoTessellated 496 Local ( -0.58, 0.78, 0.20) Global ( -0.58, 0.78, 0.20) +TGeoTessellated 497 Local ( -0.58, 0.76, 0.50) Global ( -0.58, 0.76, 0.50) +TGeoTessellated 498 Local ( -0.58, 0.78, -0.20) Global ( -0.58, 0.78, -0.20) +TGeoTessellated 499 Local ( -0.68, 0.79, -0.15) Global ( -0.68, 0.79, -0.15) +TGeoTessellated 500 Local ( -0.68, 0.78, 0.24) Global ( -0.68, 0.78, 0.24) +TGeoTessellated 501 Local ( -0.68, 0.75, 0.53) Global ( -0.68, 0.75, 0.53) +TGeoTessellated 502 Local ( -0.59, 0.72, 0.72) Global ( -0.59, 0.72, 0.72) +TGeoTessellated 503 Local ( -0.49, 0.72, 0.70) Global ( -0.49, 0.72, 0.70) +TGeoTessellated 504 Local ( -0.68, 0.71, 0.74) Global ( -0.68, 0.71, 0.74) +TGeoTessellated 505 Local ( -0.39, 0.71, 0.68) Global ( -0.39, 0.71, 0.68) +TGeoTessellated 506 Local ( -0.77, 0.77, 0.28) Global ( -0.77, 0.77, 0.28) +TGeoTessellated 507 Local ( -0.85, 0.75, 0.30) Global ( -0.85, 0.75, 0.30) +TGeoTessellated 508 Local ( -0.84, 0.72, 0.57) Global ( -0.84, 0.72, 0.57) +TGeoTessellated 509 Local ( -0.77, 0.74, 0.56) Global ( -0.77, 0.74, 0.56) +TGeoTessellated 510 Local ( -0.78, 0.78, -0.11) Global ( -0.78, 0.78, -0.11) +TGeoTessellated 511 Local ( -0.86, 0.76, -0.09) Global ( -0.86, 0.76, -0.09) +TGeoTessellated 512 Local ( -0.92, 0.71, 0.31) Global ( -0.92, 0.71, 0.31) +TGeoTessellated 513 Local ( -0.91, 0.68, 0.58) Global ( -0.91, 0.68, 0.58) +TGeoTessellated 514 Local ( -0.94, 0.72, -0.07) Global ( -0.94, 0.72, -0.07) +TGeoTessellated 515 Local ( -1.01, 0.66, -0.07) Global ( -1.01, 0.66, -0.07) +TGeoTessellated 516 Local ( -0.99, 0.65, 0.31) Global ( -0.99, 0.65, 0.31) +TGeoTessellated 517 Local ( -0.97, 0.62, 0.56) Global ( -0.97, 0.62, 0.56) +TGeoTessellated 518 Local ( -0.90, 0.64, 0.77) Global ( -0.90, 0.64, 0.77) +TGeoTessellated 519 Local ( -0.83, 0.67, 0.77) Global ( -0.83, 0.67, 0.77) +TGeoTessellated 520 Local ( -0.95, 0.58, 0.75) Global ( -0.95, 0.58, 0.75) +TGeoTessellated 521 Local ( -0.76, 0.70, 0.76) Global ( -0.76, 0.70, 0.76) +TGeoTessellated 522 Local ( -0.84, 0.69, -2.02) Global ( -0.84, 0.69, -2.02) +TGeoTessellated 523 Local ( -0.92, 0.67, -2.01) Global ( -0.92, 0.67, -2.01) +TGeoTessellated 524 Local ( -0.90, 0.71, -1.30) Global ( -0.90, 0.71, -1.30) +TGeoTessellated 525 Local ( -0.82, 0.73, -1.32) Global ( -0.82, 0.73, -1.32) +TGeoTessellated 526 Local ( -0.73, 0.73, -1.34) Global ( -0.73, 0.73, -1.34) +TGeoTessellated 527 Local ( -0.76, 0.68, -2.04) Global ( -0.76, 0.68, -2.04) +TGeoTessellated 528 Local ( -0.79, 0.65, -2.73) Global ( -0.79, 0.65, -2.73) +TGeoTessellated 529 Local ( -0.86, 0.65, -2.73) Global ( -0.86, 0.65, -2.73) +TGeoTessellated 530 Local ( -0.93, 0.64, -2.72) Global ( -0.93, 0.64, -2.72) +TGeoTessellated 531 Local ( -0.99, 0.64, -2.00) Global ( -0.99, 0.64, -2.00) +TGeoTessellated 532 Local ( -0.97, 0.67, -1.29) Global ( -0.97, 0.67, -1.29) +TGeoTessellated 533 Local ( -1.00, 0.61, -2.72) Global ( -1.00, 0.61, -2.72) +TGeoTessellated 534 Local ( -1.05, 0.56, -2.72) Global ( -1.05, 0.56, -2.72) +TGeoTessellated 535 Local ( -1.05, 0.59, -2.00) Global ( -1.05, 0.59, -2.00) +TGeoTessellated 536 Local ( -1.04, 0.62, -1.28) Global ( -1.04, 0.62, -1.28) +TGeoTessellated 537 Local ( -0.96, 0.70, -0.62) Global ( -0.96, 0.70, -0.62) +TGeoTessellated 538 Local ( -0.88, 0.74, -0.64) Global ( -0.88, 0.74, -0.64) +TGeoTessellated 539 Local ( -1.02, 0.65, -0.62) Global ( -1.02, 0.65, -0.62) +TGeoTessellated 540 Local ( -0.79, 0.76, -0.66) Global ( -0.79, 0.76, -0.66) +TGeoTessellated 541 Local ( -0.70, 0.77, -0.70) Global ( -0.70, 0.77, -0.70) +TGeoTessellated 542 Local ( -0.54, 0.57, -2.10) Global ( -0.54, 0.57, -2.10) +TGeoTessellated 543 Local ( -0.60, 0.62, -2.08) Global ( -0.60, 0.62, -2.08) +TGeoTessellated 544 Local ( -0.56, 0.68, -1.41) Global ( -0.56, 0.68, -1.41) +TGeoTessellated 545 Local ( -0.48, 0.63, -1.44) Global ( -0.48, 0.63, -1.44) +TGeoTessellated 546 Local ( -0.41, 0.57, -1.48) Global ( -0.41, 0.57, -1.48) +TGeoTessellated 547 Local ( -0.48, 0.51, -2.13) Global ( -0.48, 0.51, -2.13) +TGeoTessellated 548 Local ( -0.54, 0.47, -2.78) Global ( -0.54, 0.47, -2.78) +TGeoTessellated 549 Local ( -0.59, 0.53, -2.77) Global ( -0.59, 0.53, -2.77) +TGeoTessellated 550 Local ( -0.65, 0.58, -2.76) Global ( -0.65, 0.58, -2.76) +TGeoTessellated 551 Local ( -0.68, 0.66, -2.06) Global ( -0.68, 0.66, -2.06) +TGeoTessellated 552 Local ( -0.64, 0.71, -1.37) Global ( -0.64, 0.71, -1.37) +TGeoTessellated 553 Local ( -0.72, 0.62, -2.74) Global ( -0.72, 0.62, -2.74) +TGeoTessellated 554 Local ( -0.61, 0.75, -0.74) Global ( -0.61, 0.75, -0.74) +TGeoTessellated 555 Local ( -0.51, 0.73, -0.78) Global ( -0.51, 0.73, -0.78) +TGeoTessellated 556 Local ( -0.42, 0.69, -0.81) Global ( -0.42, 0.69, -0.81) +TGeoTessellated 557 Local ( -0.33, 0.63, -0.85) Global ( -0.33, 0.63, -0.85) +TGeoTessellated 558 Local ( -1.07, -0.10, -2.14) Global ( -1.07, -0.10, -2.14) +TGeoTessellated 559 Local ( -1.01, -0.13, -2.14) Global ( -1.01, -0.13, -2.14) +TGeoTessellated 560 Local ( -1.00, -0.17, -1.52) Global ( -1.00, -0.17, -1.52) +TGeoTessellated 561 Local ( -1.06, -0.13, -1.51) Global ( -1.06, -0.13, -1.51) +TGeoTessellated 562 Local ( -1.11, -0.07, -1.49) Global ( -1.11, -0.07, -1.49) +TGeoTessellated 563 Local ( -1.12, -0.05, -2.13) Global ( -1.12, -0.05, -2.13) +TGeoTessellated 564 Local ( -1.11, -0.02, -2.78) Global ( -1.11, -0.02, -2.78) +TGeoTessellated 565 Local ( -1.07, -0.06, -2.78) Global ( -1.07, -0.06, -2.78) +TGeoTessellated 566 Local ( -1.01, -0.09, -2.79) Global ( -1.01, -0.09, -2.79) +TGeoTessellated 567 Local ( -0.93, -0.15, -2.15) Global ( -0.93, -0.15, -2.15) +TGeoTessellated 568 Local ( -0.92, -0.20, -1.54) Global ( -0.92, -0.20, -1.54) +TGeoTessellated 569 Local ( -0.94, -0.10, -2.79) Global ( -0.94, -0.10, -2.79) +TGeoTessellated 570 Local ( -0.87, -0.10, -2.80) Global ( -0.87, -0.10, -2.80) +TGeoTessellated 571 Local ( -0.85, -0.16, -2.17) Global ( -0.85, -0.16, -2.17) +TGeoTessellated 572 Local ( -0.82, -0.21, -1.56) Global ( -0.82, -0.21, -1.56) +TGeoTessellated 573 Local ( -0.90, -0.24, -0.98) Global ( -0.90, -0.24, -0.98) +TGeoTessellated 574 Local ( -0.98, -0.21, -0.96) Global ( -0.98, -0.21, -0.96) +TGeoTessellated 575 Local ( -0.80, -0.26, -1.02) Global ( -0.80, -0.26, -1.02) +TGeoTessellated 576 Local ( -1.05, -0.16, -0.94) Global ( -1.05, -0.16, -0.94) +TGeoTessellated 577 Local ( -1.10, -0.09, -0.92) Global ( -1.10, -0.09, -0.92) +TGeoTessellated 578 Local ( -0.75, -0.16, -2.19) Global ( -0.75, -0.16, -2.19) +TGeoTessellated 579 Local ( -0.65, -0.15, -2.22) Global ( -0.65, -0.15, -2.22) +TGeoTessellated 580 Local ( -0.60, -0.21, -1.64) Global ( -0.60, -0.21, -1.64) +TGeoTessellated 581 Local ( -0.72, -0.22, -1.60) Global ( -0.72, -0.22, -1.60) +TGeoTessellated 582 Local ( -0.78, -0.10, -2.81) Global ( -0.78, -0.10, -2.81) +TGeoTessellated 583 Local ( -0.70, -0.09, -2.83) Global ( -0.70, -0.09, -2.83) +TGeoTessellated 584 Local ( -0.56, -0.12, -2.24) Global ( -0.56, -0.12, -2.24) +TGeoTessellated 585 Local ( -0.50, -0.18, -1.67) Global ( -0.50, -0.18, -1.67) +TGeoTessellated 586 Local ( -0.62, -0.07, -2.84) Global ( -0.62, -0.07, -2.84) +TGeoTessellated 587 Local ( -0.56, -0.03, -2.85) Global ( -0.56, -0.03, -2.85) +TGeoTessellated 588 Local ( -0.49, -0.08, -2.26) Global ( -0.49, -0.08, -2.26) +TGeoTessellated 589 Local ( -0.41, -0.14, -1.70) Global ( -0.41, -0.14, -1.70) +TGeoTessellated 590 Local ( -0.43, -0.25, -1.15) Global ( -0.43, -0.25, -1.15) +TGeoTessellated 591 Local ( -0.55, -0.27, -1.12) Global ( -0.55, -0.27, -1.12) +TGeoTessellated 592 Local ( -0.32, -0.20, -1.18) Global ( -0.32, -0.20, -1.18) +TGeoTessellated 593 Local ( -0.68, -0.27, -1.06) Global ( -0.68, -0.27, -1.06) +TGeoTessellated 594 Local ( -0.82, 0.09, -4.43) Global ( -0.82, 0.09, -4.43) +TGeoTessellated 595 Local ( -0.76, 0.10, -4.42) Global ( -0.76, 0.10, -4.42) +TGeoTessellated 596 Local ( -0.75, 0.04, -3.96) Global ( -0.75, 0.04, -3.96) +TGeoTessellated 597 Local ( -0.81, 0.03, -3.96) Global ( -0.81, 0.03, -3.96) +TGeoTessellated 598 Local ( -0.88, 0.02, -3.96) Global ( -0.88, 0.02, -3.96) +TGeoTessellated 599 Local ( -0.88, 0.09, -4.43) Global ( -0.88, 0.09, -4.43) +TGeoTessellated 600 Local ( -0.87, 0.15, -4.80) Global ( -0.87, 0.15, -4.80) +TGeoTessellated 601 Local ( -0.81, 0.15, -4.80) Global ( -0.81, 0.15, -4.80) +TGeoTessellated 602 Local ( -0.76, 0.16, -4.77) Global ( -0.76, 0.16, -4.77) +TGeoTessellated 603 Local ( -0.71, 0.11, -4.38) Global ( -0.71, 0.11, -4.38) +TGeoTessellated 604 Local ( -0.69, 0.06, -3.95) Global ( -0.69, 0.06, -3.95) +TGeoTessellated 605 Local ( -0.71, 0.16, -4.70) Global ( -0.71, 0.16, -4.70) +TGeoTessellated 606 Local ( -0.68, 0.16, -4.60) Global ( -0.68, 0.16, -4.60) +TGeoTessellated 607 Local ( -0.66, 0.13, -4.36) Global ( -0.66, 0.13, -4.36) +TGeoTessellated 608 Local ( -0.64, 0.08, -3.95) Global ( -0.64, 0.08, -3.95) +TGeoTessellated 609 Local ( -0.66, -0.00, -3.42) Global ( -0.66, -0.00, -3.42) +TGeoTessellated 610 Local ( -0.73, -0.03, -3.42) Global ( -0.73, -0.03, -3.42) +TGeoTessellated 611 Local ( -0.60, 0.03, -3.43) Global ( -0.60, 0.03, -3.43) +TGeoTessellated 612 Local ( -0.80, -0.04, -3.41) Global ( -0.80, -0.04, -3.41) +TGeoTessellated 613 Local ( -0.88, -0.04, -3.41) Global ( -0.88, -0.04, -3.41) +TGeoTessellated 614 Local ( -1.02, 0.10, -4.38) Global ( -1.02, 0.10, -4.38) +TGeoTessellated 615 Local ( -0.98, 0.09, -4.42) Global ( -0.98, 0.09, -4.42) +TGeoTessellated 616 Local ( -0.99, 0.03, -3.96) Global ( -0.99, 0.03, -3.96) +TGeoTessellated 617 Local ( -1.04, 0.04, -3.95) Global ( -1.04, 0.04, -3.95) +TGeoTessellated 618 Local ( -1.08, 0.07, -3.94) Global ( -1.08, 0.07, -3.94) +TGeoTessellated 619 Local ( -1.06, 0.12, -4.36) Global ( -1.06, 0.12, -4.36) +TGeoTessellated 620 Local ( -1.04, 0.16, -4.60) Global ( -1.04, 0.16, -4.60) +TGeoTessellated 621 Local ( -1.01, 0.16, -4.70) Global ( -1.01, 0.16, -4.70) +TGeoTessellated 622 Local ( -0.97, 0.15, -4.77) Global ( -0.97, 0.15, -4.77) +TGeoTessellated 623 Local ( -0.93, 0.09, -4.43) Global ( -0.93, 0.09, -4.43) +TGeoTessellated 624 Local ( -0.94, 0.02, -3.96) Global ( -0.94, 0.02, -3.96) +TGeoTessellated 625 Local ( -0.92, 0.15, -4.80) Global ( -0.92, 0.15, -4.80) +TGeoTessellated 626 Local ( -0.94, -0.04, -3.40) Global ( -0.94, -0.04, -3.40) +TGeoTessellated 627 Local ( -1.01, -0.03, -3.40) Global ( -1.01, -0.03, -3.40) +TGeoTessellated 628 Local ( -1.06, -0.01, -3.40) Global ( -1.06, -0.01, -3.40) +TGeoTessellated 629 Local ( -1.10, 0.03, -3.40) Global ( -1.10, 0.03, -3.40) +TGeoTessellated 630 Local ( -0.67, 0.50, -4.38) Global ( -0.67, 0.50, -4.38) +TGeoTessellated 631 Local ( -0.72, 0.54, -4.42) Global ( -0.72, 0.54, -4.42) +TGeoTessellated 632 Local ( -0.70, 0.55, -3.95) Global ( -0.70, 0.55, -3.95) +TGeoTessellated 633 Local ( -0.66, 0.50, -3.95) Global ( -0.66, 0.50, -3.95) +TGeoTessellated 634 Local ( -0.62, 0.45, -3.94) Global ( -0.62, 0.45, -3.94) +TGeoTessellated 635 Local ( -0.64, 0.46, -4.36) Global ( -0.64, 0.46, -4.36) +TGeoTessellated 636 Local ( -0.66, 0.47, -4.60) Global ( -0.66, 0.47, -4.60) +TGeoTessellated 637 Local ( -0.68, 0.50, -4.70) Global ( -0.68, 0.50, -4.70) +TGeoTessellated 638 Local ( -0.73, 0.53, -4.77) Global ( -0.73, 0.53, -4.77) +TGeoTessellated 639 Local ( -0.77, 0.58, -4.43) Global ( -0.77, 0.58, -4.43) +TGeoTessellated 640 Local ( -0.76, 0.59, -3.96) Global ( -0.76, 0.59, -3.96) +TGeoTessellated 641 Local ( -0.77, 0.56, -4.80) Global ( -0.77, 0.56, -4.80) +TGeoTessellated 642 Local ( -0.82, 0.58, -4.80) Global ( -0.82, 0.58, -4.80) +TGeoTessellated 643 Local ( -0.82, 0.60, -4.43) Global ( -0.82, 0.60, -4.43) +TGeoTessellated 644 Local ( -0.81, 0.61, -3.95) Global ( -0.81, 0.61, -3.95) +TGeoTessellated 645 Local ( -0.74, 0.60, -3.38) Global ( -0.74, 0.60, -3.38) +TGeoTessellated 646 Local ( -0.68, 0.56, -3.39) Global ( -0.68, 0.56, -3.39) +TGeoTessellated 647 Local ( -0.80, 0.62, -3.38) Global ( -0.80, 0.62, -3.38) +TGeoTessellated 648 Local ( -0.63, 0.51, -3.39) Global ( -0.63, 0.51, -3.39) +TGeoTessellated 649 Local ( -0.58, 0.45, -3.40) Global ( -0.58, 0.45, -3.40) +TGeoTessellated 650 Local ( -0.87, 0.61, -4.43) Global ( -0.87, 0.61, -4.43) +TGeoTessellated 651 Local ( -0.93, 0.60, -4.42) Global ( -0.93, 0.60, -4.42) +TGeoTessellated 652 Local ( -0.93, 0.61, -3.95) Global ( -0.93, 0.61, -3.95) +TGeoTessellated 653 Local ( -0.87, 0.62, -3.95) Global ( -0.87, 0.62, -3.95) +TGeoTessellated 654 Local ( -0.87, 0.59, -4.80) Global ( -0.87, 0.59, -4.80) +TGeoTessellated 655 Local ( -0.92, 0.58, -4.77) Global ( -0.92, 0.58, -4.77) +TGeoTessellated 656 Local ( -0.97, 0.58, -4.38) Global ( -0.97, 0.58, -4.38) +TGeoTessellated 657 Local ( -0.98, 0.59, -3.94) Global ( -0.98, 0.59, -3.94) +TGeoTessellated 658 Local ( -0.97, 0.56, -4.70) Global ( -0.97, 0.56, -4.70) +TGeoTessellated 659 Local ( -1.00, 0.55, -4.60) Global ( -1.00, 0.55, -4.60) +TGeoTessellated 660 Local ( -1.01, 0.55, -4.36) Global ( -1.01, 0.55, -4.36) +TGeoTessellated 661 Local ( -1.03, 0.55, -3.94) Global ( -1.03, 0.55, -3.94) +TGeoTessellated 662 Local ( -0.99, 0.59, -3.37) Global ( -0.99, 0.59, -3.37) +TGeoTessellated 663 Local ( -0.93, 0.62, -3.37) Global ( -0.93, 0.62, -3.37) +TGeoTessellated 664 Local ( -1.04, 0.55, -3.38) Global ( -1.04, 0.55, -3.38) +TGeoTessellated 665 Local ( -0.87, 0.63, -3.38) Global ( -0.87, 0.63, -3.38) +TGeoTessellated 666 Local ( -0.09, -0.22, 3.82) Global ( -0.09, -0.22, 3.82) +TGeoTessellated 667 Local ( -0.17, -0.22, 3.82) Global ( -0.17, -0.22, 3.82) +TGeoTessellated 668 Local ( -0.19, -0.29, 3.74) Global ( -0.19, -0.29, 3.74) +TGeoTessellated 669 Local ( -0.09, -0.29, 3.74) Global ( -0.09, -0.29, 3.74) +TGeoTessellated 670 Local ( 0.00, -0.29, 3.74) Global ( 0.00, -0.29, 3.74) +TGeoTessellated 671 Local ( 0.00, -0.22, 3.82) Global ( 0.00, -0.22, 3.82) +TGeoTessellated 672 Local ( -0.00, -0.17, 3.89) Global ( -0.00, -0.17, 3.89) +TGeoTessellated 673 Local ( -0.08, -0.17, 3.89) Global ( -0.08, -0.17, 3.89) +TGeoTessellated 674 Local ( -0.16, -0.17, 3.89) Global ( -0.16, -0.17, 3.89) +TGeoTessellated 675 Local ( -0.26, -0.21, 3.82) Global ( -0.26, -0.21, 3.82) +TGeoTessellated 676 Local ( -0.28, -0.28, 3.75) Global ( -0.28, -0.28, 3.75) +TGeoTessellated 677 Local ( -0.24, -0.16, 3.89) Global ( -0.24, -0.16, 3.89) +TGeoTessellated 678 Local ( -0.30, -0.15, 3.89) Global ( -0.30, -0.15, 3.89) +TGeoTessellated 679 Local ( -0.34, -0.20, 3.83) Global ( -0.34, -0.20, 3.83) +TGeoTessellated 680 Local ( -0.37, -0.27, 3.75) Global ( -0.37, -0.27, 3.75) +TGeoTessellated 681 Local ( -0.30, -0.36, 3.65) Global ( -0.30, -0.36, 3.65) +TGeoTessellated 682 Local ( -0.20, -0.36, 3.65) Global ( -0.20, -0.36, 3.65) +TGeoTessellated 683 Local ( -0.40, -0.34, 3.65) Global ( -0.40, -0.34, 3.65) +TGeoTessellated 684 Local ( -0.10, -0.36, 3.65) Global ( -0.10, -0.36, 3.65) +TGeoTessellated 685 Local ( 0.00, -0.36, 3.65) Global ( 0.00, -0.36, 3.65) +TGeoTessellated 686 Local ( -0.41, -0.18, 3.83) Global ( -0.41, -0.18, 3.83) +TGeoTessellated 687 Local ( -0.48, -0.15, 3.84) Global ( -0.48, -0.15, 3.84) +TGeoTessellated 688 Local ( -0.55, -0.20, 3.76) Global ( -0.55, -0.20, 3.76) +TGeoTessellated 689 Local ( -0.46, -0.24, 3.75) Global ( -0.46, -0.24, 3.75) +TGeoTessellated 690 Local ( -0.36, -0.13, 3.90) Global ( -0.36, -0.13, 3.90) +TGeoTessellated 691 Local ( -0.42, -0.11, 3.90) Global ( -0.42, -0.11, 3.90) +TGeoTessellated 692 Local ( -0.53, -0.11, 3.85) Global ( -0.53, -0.11, 3.85) +TGeoTessellated 693 Local ( -0.62, -0.15, 3.77) Global ( -0.62, -0.15, 3.77) +TGeoTessellated 694 Local ( -0.46, -0.08, 3.91) Global ( -0.46, -0.08, 3.91) +TGeoTessellated 695 Local ( -0.49, -0.04, 3.92) Global ( -0.49, -0.04, 3.92) +TGeoTessellated 696 Local ( -0.58, -0.06, 3.86) Global ( -0.58, -0.06, 3.86) +TGeoTessellated 697 Local ( -0.69, -0.09, 3.78) Global ( -0.69, -0.09, 3.78) +TGeoTessellated 698 Local ( -0.72, -0.21, 3.67) Global ( -0.72, -0.21, 3.67) +TGeoTessellated 699 Local ( -0.61, -0.26, 3.66) Global ( -0.61, -0.26, 3.66) +TGeoTessellated 700 Local ( -0.80, -0.14, 3.69) Global ( -0.80, -0.14, 3.69) +TGeoTessellated 701 Local ( -0.51, -0.31, 3.66) Global ( -0.51, -0.31, 3.66) +TGeoTessellated 702 Local ( -0.26, 0.59, 3.86) Global ( -0.26, 0.59, 3.86) +TGeoTessellated 703 Local ( -0.18, 0.59, 3.86) Global ( -0.18, 0.59, 3.86) +TGeoTessellated 704 Local ( -0.19, 0.65, 3.78) Global ( -0.19, 0.65, 3.78) +TGeoTessellated 705 Local ( -0.28, 0.65, 3.78) Global ( -0.28, 0.65, 3.78) +TGeoTessellated 706 Local ( -0.37, 0.65, 3.78) Global ( -0.37, 0.65, 3.78) +TGeoTessellated 707 Local ( -0.34, 0.59, 3.86) Global ( -0.34, 0.59, 3.86) +TGeoTessellated 708 Local ( -0.31, 0.54, 3.94) Global ( -0.31, 0.54, 3.94) +TGeoTessellated 709 Local ( -0.24, 0.54, 3.94) Global ( -0.24, 0.54, 3.94) +TGeoTessellated 710 Local ( -0.16, 0.54, 3.93) Global ( -0.16, 0.54, 3.93) +TGeoTessellated 711 Local ( -0.09, 0.58, 3.86) Global ( -0.09, 0.58, 3.86) +TGeoTessellated 712 Local ( -0.09, 0.64, 3.78) Global ( -0.09, 0.64, 3.78) +TGeoTessellated 713 Local ( -0.08, 0.54, 3.93) Global ( -0.08, 0.54, 3.93) +TGeoTessellated 714 Local ( 0.00, 0.53, 3.93) Global ( 0.00, 0.53, 3.93) +TGeoTessellated 715 Local ( 0.00, 0.58, 3.86) Global ( 0.00, 0.58, 3.86) +TGeoTessellated 716 Local ( 0.00, 0.64, 3.78) Global ( 0.00, 0.64, 3.78) +TGeoTessellated 717 Local ( -0.10, 0.70, 3.67) Global ( -0.10, 0.70, 3.67) +TGeoTessellated 718 Local ( -0.20, 0.70, 3.67) Global ( -0.20, 0.70, 3.67) +TGeoTessellated 719 Local ( 0.00, 0.69, 3.67) Global ( 0.00, 0.69, 3.67) +TGeoTessellated 720 Local ( -0.30, 0.71, 3.67) Global ( -0.30, 0.71, 3.67) +TGeoTessellated 721 Local ( -0.40, 0.71, 3.67) Global ( -0.40, 0.71, 3.67) +TGeoTessellated 722 Local ( -0.54, 0.51, 3.88) Global ( -0.54, 0.51, 3.88) +TGeoTessellated 723 Local ( -0.48, 0.55, 3.87) Global ( -0.48, 0.55, 3.87) +TGeoTessellated 724 Local ( -0.55, 0.61, 3.79) Global ( -0.55, 0.61, 3.79) +TGeoTessellated 725 Local ( -0.62, 0.57, 3.80) Global ( -0.62, 0.57, 3.80) +TGeoTessellated 726 Local ( -0.68, 0.52, 3.81) Global ( -0.68, 0.52, 3.81) +TGeoTessellated 727 Local ( -0.58, 0.46, 3.89) Global ( -0.58, 0.46, 3.89) +TGeoTessellated 728 Local ( -0.49, 0.41, 3.95) Global ( -0.49, 0.41, 3.95) +TGeoTessellated 729 Local ( -0.46, 0.46, 3.94) Global ( -0.46, 0.46, 3.94) +TGeoTessellated 730 Local ( -0.42, 0.49, 3.94) Global ( -0.42, 0.49, 3.94) +TGeoTessellated 731 Local ( -0.41, 0.57, 3.87) Global ( -0.41, 0.57, 3.87) +TGeoTessellated 732 Local ( -0.46, 0.63, 3.78) Global ( -0.46, 0.63, 3.78) +TGeoTessellated 733 Local ( -0.37, 0.52, 3.94) Global ( -0.37, 0.52, 3.94) +TGeoTessellated 734 Local ( -0.51, 0.69, 3.68) Global ( -0.51, 0.69, 3.68) +TGeoTessellated 735 Local ( -0.61, 0.67, 3.69) Global ( -0.61, 0.67, 3.69) +TGeoTessellated 736 Local ( -0.72, 0.63, 3.70) Global ( -0.72, 0.63, 3.70) +TGeoTessellated 737 Local ( -0.80, 0.58, 3.72) Global ( -0.80, 0.58, 3.72) +TGeoTessellated 738 Local ( -0.95, 0.14, 1.46) Global ( -0.95, 0.14, 1.46) +TGeoTessellated 739 Local ( -0.93, 0.25, 1.48) Global ( -0.93, 0.25, 1.48) +TGeoTessellated 740 Local ( -0.95, 0.27, 1.24) Global ( -0.95, 0.27, 1.24) +TGeoTessellated 741 Local ( -0.97, 0.16, 1.21) Global ( -0.97, 0.16, 1.21) +TGeoTessellated 742 Local ( -0.98, 0.04, 1.17) Global ( -0.98, 0.04, 1.17) +TGeoTessellated 743 Local ( -0.96, 0.03, 1.45) Global ( -0.96, 0.03, 1.45) +TGeoTessellated 744 Local ( -0.96, 0.03, 1.73) Global ( -0.96, 0.03, 1.73) +TGeoTessellated 745 Local ( -0.95, 0.14, 1.73) Global ( -0.95, 0.14, 1.73) +TGeoTessellated 746 Local ( -0.93, 0.25, 1.73) Global ( -0.93, 0.25, 1.73) +TGeoTessellated 747 Local ( -0.91, 0.34, 1.50) Global ( -0.91, 0.34, 1.50) +TGeoTessellated 748 Local ( -0.92, 0.36, 1.27) Global ( -0.92, 0.36, 1.27) +TGeoTessellated 749 Local ( -0.91, 0.34, 1.74) Global ( -0.91, 0.34, 1.74) +TGeoTessellated 750 Local ( -0.94, 0.40, 1.06) Global ( -0.94, 0.40, 1.06) +TGeoTessellated 751 Local ( -0.97, 0.30, 1.02) Global ( -0.97, 0.30, 1.02) +TGeoTessellated 752 Local ( -0.97, 0.45, 0.87) Global ( -0.97, 0.45, 0.87) +TGeoTessellated 753 Local ( -1.00, 0.35, 0.82) Global ( -1.00, 0.35, 0.82) +TGeoTessellated 754 Local ( -1.00, 0.19, 0.97) Global ( -1.00, 0.19, 0.97) +TGeoTessellated 755 Local ( -1.03, 0.24, 0.76) Global ( -1.03, 0.24, 0.76) +TGeoTessellated 756 Local ( -1.04, 0.12, 0.69) Global ( -1.04, 0.12, 0.69) +TGeoTessellated 757 Local ( -1.01, 0.07, 0.91) Global ( -1.01, 0.07, 0.91) +TGeoTessellated 758 Local ( -1.01, -0.05, 0.86) Global ( -1.01, -0.05, 0.86) +TGeoTessellated 759 Local ( -1.00, -0.16, 0.81) Global ( -1.00, -0.16, 0.81) +TGeoTessellated 760 Local ( -0.97, -0.19, 1.10) Global ( -0.97, -0.19, 1.10) +TGeoTessellated 761 Local ( -0.98, -0.07, 1.13) Global ( -0.98, -0.07, 1.13) +TGeoTessellated 762 Local ( -1.05, -0.00, 0.62) Global ( -1.05, -0.00, 0.62) +TGeoTessellated 763 Local ( -1.04, -0.12, 0.56) Global ( -1.04, -0.12, 0.56) +TGeoTessellated 764 Local ( -0.99, -0.26, 0.76) Global ( -0.99, -0.26, 0.76) +TGeoTessellated 765 Local ( -0.95, -0.29, 1.06) Global ( -0.95, -0.29, 1.06) +TGeoTessellated 766 Local ( -1.02, -0.22, 0.49) Global ( -1.02, -0.22, 0.49) +TGeoTessellated 767 Local ( -0.93, -0.30, 1.39) Global ( -0.93, -0.30, 1.39) +TGeoTessellated 768 Local ( -0.95, -0.20, 1.41) Global ( -0.95, -0.20, 1.41) +TGeoTessellated 769 Local ( -0.92, -0.28, 1.72) Global ( -0.92, -0.28, 1.72) +TGeoTessellated 770 Local ( -0.94, -0.18, 1.72) Global ( -0.94, -0.18, 1.72) +TGeoTessellated 771 Local ( -0.96, -0.09, 1.43) Global ( -0.96, -0.09, 1.43) +TGeoTessellated 772 Local ( -0.95, -0.08, 1.72) Global ( -0.95, -0.08, 1.72) +TGeoTessellated 773 Local ( -1.03, -0.13, 2.47) Global ( -1.03, -0.13, 2.47) +TGeoTessellated 774 Local ( -1.04, -0.02, 2.42) Global ( -1.04, -0.02, 2.42) +TGeoTessellated 775 Local ( -0.99, -0.09, 2.26) Global ( -0.99, -0.09, 2.26) +TGeoTessellated 776 Local ( -0.98, -0.19, 2.28) Global ( -0.98, -0.19, 2.28) +TGeoTessellated 777 Local ( -1.10, -0.05, 2.54) Global ( -1.10, -0.05, 2.54) +TGeoTessellated 778 Local ( -1.09, 0.05, 2.48) Global ( -1.09, 0.05, 2.48) +TGeoTessellated 779 Local ( -1.04, 0.08, 2.40) Global ( -1.04, 0.08, 2.40) +TGeoTessellated 780 Local ( -1.00, 0.01, 2.24) Global ( -1.00, 0.01, 2.24) +TGeoTessellated 781 Local ( -1.09, 0.15, 2.44) Global ( -1.09, 0.15, 2.44) +TGeoTessellated 782 Local ( -1.09, 0.25, 2.43) Global ( -1.09, 0.25, 2.43) +TGeoTessellated 783 Local ( -1.04, 0.19, 2.38) Global ( -1.04, 0.19, 2.38) +TGeoTessellated 784 Local ( -1.00, 0.12, 2.23) Global ( -1.00, 0.12, 2.23) +TGeoTessellated 785 Local ( -0.97, -0.04, 2.00) Global ( -0.97, -0.04, 2.00) +TGeoTessellated 786 Local ( -0.96, -0.15, 2.01) Global ( -0.96, -0.15, 2.01) +TGeoTessellated 787 Local ( -0.97, 0.07, 2.00) Global ( -0.97, 0.07, 2.00) +TGeoTessellated 788 Local ( -0.94, -0.25, 2.02) Global ( -0.94, -0.25, 2.02) +TGeoTessellated 789 Local ( -1.04, 0.29, 2.37) Global ( -1.04, 0.29, 2.37) +TGeoTessellated 790 Local ( -1.03, 0.40, 2.38) Global ( -1.03, 0.40, 2.38) +TGeoTessellated 791 Local ( -0.99, 0.34, 2.22) Global ( -0.99, 0.34, 2.22) +TGeoTessellated 792 Local ( -1.00, 0.23, 2.22) Global ( -1.00, 0.23, 2.22) +TGeoTessellated 793 Local ( -1.08, 0.35, 2.42) Global ( -1.08, 0.35, 2.42) +TGeoTessellated 794 Local ( -1.08, 0.46, 2.44) Global ( -1.08, 0.46, 2.44) +TGeoTessellated 795 Local ( -1.02, 0.49, 2.41) Global ( -1.02, 0.49, 2.41) +TGeoTessellated 796 Local ( -0.97, 0.43, 2.22) Global ( -0.97, 0.43, 2.22) +TGeoTessellated 797 Local ( -1.08, 0.55, 2.49) Global ( -1.08, 0.55, 2.49) +TGeoTessellated 798 Local ( -0.93, 0.37, 1.99) Global ( -0.93, 0.37, 1.99) +TGeoTessellated 799 Local ( -0.95, 0.28, 1.99) Global ( -0.95, 0.28, 1.99) +TGeoTessellated 800 Local ( -0.96, 0.18, 1.99) Global ( -0.96, 0.18, 1.99) +TGeoTessellated 801 Local ( -1.26, 0.53, 3.43) Global ( -1.26, 0.53, 3.43) +TGeoTessellated 802 Local ( -1.29, 0.45, 3.47) Global ( -1.29, 0.45, 3.47) +TGeoTessellated 803 Local ( -1.20, 0.45, 3.58) Global ( -1.20, 0.45, 3.58) +TGeoTessellated 804 Local ( -1.18, 0.54, 3.54) Global ( -1.18, 0.54, 3.54) +TGeoTessellated 805 Local ( -1.34, 0.53, 3.25) Global ( -1.34, 0.53, 3.25) +TGeoTessellated 806 Local ( -1.37, 0.45, 3.29) Global ( -1.37, 0.45, 3.29) +TGeoTessellated 807 Local ( -1.30, 0.35, 3.48) Global ( -1.30, 0.35, 3.48) +TGeoTessellated 808 Local ( -1.21, 0.35, 3.60) Global ( -1.21, 0.35, 3.60) +TGeoTessellated 809 Local ( -1.38, 0.36, 3.30) Global ( -1.38, 0.36, 3.30) +TGeoTessellated 810 Local ( -1.38, 0.26, 3.30) Global ( -1.38, 0.26, 3.30) +TGeoTessellated 811 Local ( -1.30, 0.25, 3.48) Global ( -1.30, 0.25, 3.48) +TGeoTessellated 812 Local ( -1.21, 0.24, 3.60) Global ( -1.21, 0.24, 3.60) +TGeoTessellated 813 Local ( -1.12, 0.34, 3.67) Global ( -1.12, 0.34, 3.67) +TGeoTessellated 814 Local ( -1.10, 0.45, 3.65) Global ( -1.10, 0.45, 3.65) +TGeoTessellated 815 Local ( -1.12, 0.24, 3.67) Global ( -1.12, 0.24, 3.67) +TGeoTessellated 816 Local ( -1.01, 0.23, 3.72) Global ( -1.01, 0.23, 3.72) +TGeoTessellated 817 Local ( -1.01, 0.34, 3.72) Global ( -1.01, 0.34, 3.72) +TGeoTessellated 818 Local ( -1.00, 0.44, 3.71) Global ( -1.00, 0.44, 3.71) +TGeoTessellated 819 Local ( -1.08, 0.55, 3.61) Global ( -1.08, 0.55, 3.61) +TGeoTessellated 820 Local ( -0.97, 0.54, 3.67) Global ( -0.97, 0.54, 3.67) +TGeoTessellated 821 Local ( -1.30, 0.14, 3.47) Global ( -1.30, 0.14, 3.47) +TGeoTessellated 822 Local ( -1.29, 0.05, 3.45) Global ( -1.29, 0.05, 3.45) +TGeoTessellated 823 Local ( -1.20, 0.03, 3.56) Global ( -1.20, 0.03, 3.56) +TGeoTessellated 824 Local ( -1.21, 0.13, 3.59) Global ( -1.21, 0.13, 3.59) +TGeoTessellated 825 Local ( -1.38, 0.16, 3.29) Global ( -1.38, 0.16, 3.29) +TGeoTessellated 826 Local ( -1.37, 0.07, 3.27) Global ( -1.37, 0.07, 3.27) +TGeoTessellated 827 Local ( -1.27, -0.04, 3.41) Global ( -1.27, -0.04, 3.41) +TGeoTessellated 828 Local ( -1.18, -0.06, 3.52) Global ( -1.18, -0.06, 3.52) +TGeoTessellated 829 Local ( -1.34, -0.01, 3.23) Global ( -1.34, -0.01, 3.23) +TGeoTessellated 830 Local ( -1.08, -0.07, 3.59) Global ( -1.08, -0.07, 3.59) +TGeoTessellated 831 Local ( -1.10, 0.03, 3.63) Global ( -1.10, 0.03, 3.63) +TGeoTessellated 832 Local ( -0.97, -0.07, 3.65) Global ( -0.97, -0.07, 3.65) +TGeoTessellated 833 Local ( -1.00, 0.03, 3.69) Global ( -1.00, 0.03, 3.69) +TGeoTessellated 834 Local ( -1.12, 0.13, 3.66) Global ( -1.12, 0.13, 3.66) +TGeoTessellated 835 Local ( -1.01, 0.13, 3.71) Global ( -1.01, 0.13, 3.71) +TGeoTessellated 836 Local ( -2.28, -0.29, 0.35) Global ( -2.28, -0.29, 0.35) +TGeoTessellated 837 Local ( -2.32, -0.27, 0.29) Global ( -2.32, -0.27, 0.29) +TGeoTessellated 838 Local ( -2.30, -0.29, 0.18) Global ( -2.30, -0.29, 0.18) +TGeoTessellated 839 Local ( -2.26, -0.31, 0.26) Global ( -2.26, -0.31, 0.26) +TGeoTessellated 840 Local ( -2.24, -0.24, 0.52) Global ( -2.24, -0.24, 0.52) +TGeoTessellated 841 Local ( -2.29, -0.22, 0.48) Global ( -2.29, -0.22, 0.48) +TGeoTessellated 842 Local ( -2.34, -0.22, 0.26) Global ( -2.34, -0.22, 0.26) +TGeoTessellated 843 Local ( -2.32, -0.24, 0.15) Global ( -2.32, -0.24, 0.15) +TGeoTessellated 844 Local ( -2.31, -0.17, 0.46) Global ( -2.31, -0.17, 0.46) +TGeoTessellated 845 Local ( -2.31, -0.10, 0.46) Global ( -2.31, -0.10, 0.46) +TGeoTessellated 846 Local ( -2.35, -0.16, 0.26) Global ( -2.35, -0.16, 0.26) +TGeoTessellated 847 Local ( -2.32, -0.17, 0.15) Global ( -2.32, -0.17, 0.15) +TGeoTessellated 848 Local ( -2.24, -0.21, 0.14) Global ( -2.24, -0.21, 0.14) +TGeoTessellated 849 Local ( -2.23, -0.27, 0.18) Global ( -2.23, -0.27, 0.18) +TGeoTessellated 850 Local ( -2.24, -0.15, 0.14) Global ( -2.24, -0.15, 0.14) +TGeoTessellated 851 Local ( -2.11, -0.08, 0.24) Global ( -2.11, -0.08, 0.24) +TGeoTessellated 852 Local ( -2.11, -0.15, 0.25) Global ( -2.11, -0.15, 0.25) +TGeoTessellated 853 Local ( -2.10, -0.21, 0.28) Global ( -2.10, -0.21, 0.28) +TGeoTessellated 854 Local ( -2.19, -0.29, 0.26) Global ( -2.19, -0.29, 0.26) +TGeoTessellated 855 Local ( -2.08, -0.23, 0.35) Global ( -2.08, -0.23, 0.35) +TGeoTessellated 856 Local ( -2.34, -0.09, 0.26) Global ( -2.34, -0.09, 0.26) +TGeoTessellated 857 Local ( -2.32, -0.02, 0.29) Global ( -2.32, -0.02, 0.29) +TGeoTessellated 858 Local ( -2.30, -0.03, 0.18) Global ( -2.30, -0.03, 0.18) +TGeoTessellated 859 Local ( -2.31, -0.11, 0.15) Global ( -2.31, -0.11, 0.15) +TGeoTessellated 860 Local ( -2.31, -0.04, 0.47) Global ( -2.31, -0.04, 0.47) +TGeoTessellated 861 Local ( -2.29, 0.02, 0.48) Global ( -2.29, 0.02, 0.48) +TGeoTessellated 862 Local ( -2.27, 0.05, 0.35) Global ( -2.27, 0.05, 0.35) +TGeoTessellated 863 Local ( -2.25, 0.04, 0.26) Global ( -2.25, 0.04, 0.26) +TGeoTessellated 864 Local ( -2.24, 0.09, 0.53) Global ( -2.24, 0.09, 0.53) +TGeoTessellated 865 Local ( -2.18, 0.07, 0.25) Global ( -2.18, 0.07, 0.25) +TGeoTessellated 866 Local ( -2.22, -0.01, 0.17) Global ( -2.22, -0.01, 0.17) +TGeoTessellated 867 Local ( -2.07, 0.12, 0.34) Global ( -2.07, 0.12, 0.34) +TGeoTessellated 868 Local ( -2.09, 0.05, 0.27) Global ( -2.09, 0.05, 0.27) +TGeoTessellated 869 Local ( -2.23, -0.08, 0.14) Global ( -2.23, -0.08, 0.14) +TGeoTessellated 870 Local ( -2.10, -0.02, 0.24) Global ( -2.10, -0.02, 0.24) +TGeoTessellated 871 Local ( -1.42, 0.04, 2.96) Global ( -1.42, 0.04, 2.96) +TGeoTessellated 872 Local ( -1.44, 0.11, 2.99) Global ( -1.44, 0.11, 2.99) +TGeoTessellated 873 Local ( -1.53, 0.16, 2.65) Global ( -1.53, 0.16, 2.65) +TGeoTessellated 874 Local ( -1.50, 0.09, 2.62) Global ( -1.50, 0.09, 2.62) +TGeoTessellated 875 Local ( -1.46, 0.20, 3.01) Global ( -1.46, 0.20, 3.01) +TGeoTessellated 876 Local ( -1.54, 0.23, 2.66) Global ( -1.54, 0.23, 2.66) +TGeoTessellated 877 Local ( -1.46, 0.29, 3.02) Global ( -1.46, 0.29, 3.02) +TGeoTessellated 878 Local ( -1.55, 0.31, 2.67) Global ( -1.55, 0.31, 2.67) +TGeoTessellated 879 Local ( -1.64, 0.24, 2.27) Global ( -1.64, 0.24, 2.27) +TGeoTessellated 880 Local ( -1.62, 0.18, 2.26) Global ( -1.62, 0.18, 2.26) +TGeoTessellated 881 Local ( -1.65, 0.32, 2.28) Global ( -1.65, 0.32, 2.28) +TGeoTessellated 882 Local ( -1.77, 0.29, 1.87) Global ( -1.77, 0.29, 1.87) +TGeoTessellated 883 Local ( -1.76, 0.22, 1.86) Global ( -1.76, 0.22, 1.86) +TGeoTessellated 884 Local ( -1.74, 0.16, 1.85) Global ( -1.74, 0.16, 1.85) +TGeoTessellated 885 Local ( -1.60, 0.12, 2.23) Global ( -1.60, 0.12, 2.23) +TGeoTessellated 886 Local ( -1.72, 0.11, 1.83) Global ( -1.72, 0.11, 1.83) +TGeoTessellated 887 Local ( -1.46, 0.37, 3.02) Global ( -1.46, 0.37, 3.02) +TGeoTessellated 888 Local ( -1.44, 0.46, 3.01) Global ( -1.44, 0.46, 3.01) +TGeoTessellated 889 Local ( -1.53, 0.47, 2.66) Global ( -1.53, 0.47, 2.66) +TGeoTessellated 890 Local ( -1.54, 0.39, 2.67) Global ( -1.54, 0.39, 2.67) +TGeoTessellated 891 Local ( -1.42, 0.54, 2.98) Global ( -1.42, 0.54, 2.98) +TGeoTessellated 892 Local ( -1.50, 0.54, 2.64) Global ( -1.50, 0.54, 2.64) +TGeoTessellated 893 Local ( -1.60, 0.52, 2.25) Global ( -1.60, 0.52, 2.25) +TGeoTessellated 894 Local ( -1.63, 0.46, 2.27) Global ( -1.63, 0.46, 2.27) +TGeoTessellated 895 Local ( -1.72, 0.47, 1.85) Global ( -1.72, 0.47, 1.85) +TGeoTessellated 896 Local ( -1.75, 0.42, 1.86) Global ( -1.75, 0.42, 1.86) +TGeoTessellated 897 Local ( -1.64, 0.39, 2.28) Global ( -1.64, 0.39, 2.28) +TGeoTessellated 898 Local ( -1.76, 0.35, 1.87) Global ( -1.76, 0.35, 1.87) +TGeoTessellated 899 Local ( -1.87, 0.04, 1.43) Global ( -1.87, 0.04, 1.43) +TGeoTessellated 900 Local ( -1.90, 0.09, 1.45) Global ( -1.90, 0.09, 1.45) +TGeoTessellated 901 Local ( -2.05, -0.02, 1.07) Global ( -2.05, -0.02, 1.07) +TGeoTessellated 902 Local ( -2.02, -0.06, 1.07) Global ( -2.02, -0.06, 1.07) +TGeoTessellated 903 Local ( -1.91, 0.14, 1.46) Global ( -1.91, 0.14, 1.46) +TGeoTessellated 904 Local ( -2.07, 0.04, 1.08) Global ( -2.07, 0.04, 1.08) +TGeoTessellated 905 Local ( -1.92, 0.21, 1.46) Global ( -1.92, 0.21, 1.46) +TGeoTessellated 906 Local ( -2.08, 0.10, 1.08) Global ( -2.08, 0.10, 1.08) +TGeoTessellated 907 Local ( -2.21, -0.07, 0.74) Global ( -2.21, -0.07, 0.74) +TGeoTessellated 908 Local ( -2.19, -0.13, 0.74) Global ( -2.19, -0.13, 0.74) +TGeoTessellated 909 Local ( -2.21, -0.01, 0.74) Global ( -2.21, -0.01, 0.74) +TGeoTessellated 910 Local ( -2.15, -0.16, 0.76) Global ( -2.15, -0.16, 0.76) +TGeoTessellated 911 Local ( -1.91, 0.27, 1.46) Global ( -1.91, 0.27, 1.46) +TGeoTessellated 912 Local ( -1.90, 0.33, 1.46) Global ( -1.90, 0.33, 1.46) +TGeoTessellated 913 Local ( -2.06, 0.22, 1.08) Global ( -2.06, 0.22, 1.08) +TGeoTessellated 914 Local ( -2.07, 0.16, 1.08) Global ( -2.07, 0.16, 1.08) +TGeoTessellated 915 Local ( -1.87, 0.39, 1.44) Global ( -1.87, 0.39, 1.44) +TGeoTessellated 916 Local ( -2.03, 0.28, 1.08) Global ( -2.03, 0.28, 1.08) +TGeoTessellated 917 Local ( -2.16, 0.17, 0.77) Global ( -2.16, 0.17, 0.77) +TGeoTessellated 918 Local ( -2.19, 0.11, 0.75) Global ( -2.19, 0.11, 0.75) +TGeoTessellated 919 Local ( -2.21, 0.05, 0.75) Global ( -2.21, 0.05, 0.75) +TGeoTessellated 920 Local ( -1.14, 0.58, 2.39) Global ( -1.14, 0.58, 2.39) +TGeoTessellated 921 Local ( -1.13, 0.50, 2.35) Global ( -1.13, 0.50, 2.35) +TGeoTessellated 922 Local ( -1.19, 0.52, 2.15) Global ( -1.19, 0.52, 2.15) +TGeoTessellated 923 Local ( -1.21, 0.59, 2.18) Global ( -1.21, 0.59, 2.18) +TGeoTessellated 924 Local ( -1.13, 0.40, 2.34) Global ( -1.13, 0.40, 2.34) +TGeoTessellated 925 Local ( -1.18, 0.43, 2.14) Global ( -1.18, 0.43, 2.14) +TGeoTessellated 926 Local ( -1.13, 0.31, 2.34) Global ( -1.13, 0.31, 2.34) +TGeoTessellated 927 Local ( -1.19, 0.34, 2.14) Global ( -1.19, 0.34, 2.14) +TGeoTessellated 928 Local ( -1.26, 0.43, 1.85) Global ( -1.26, 0.43, 1.85) +TGeoTessellated 929 Local ( -1.27, 0.51, 1.86) Global ( -1.27, 0.51, 1.86) +TGeoTessellated 930 Local ( -1.27, 0.35, 1.86) Global ( -1.27, 0.35, 1.86) +TGeoTessellated 931 Local ( -1.38, 0.32, 1.51) Global ( -1.38, 0.32, 1.51) +TGeoTessellated 932 Local ( -1.38, 0.39, 1.51) Global ( -1.38, 0.39, 1.51) +TGeoTessellated 933 Local ( -1.39, 0.46, 1.52) Global ( -1.39, 0.46, 1.52) +TGeoTessellated 934 Local ( -1.29, 0.57, 1.88) Global ( -1.29, 0.57, 1.88) +TGeoTessellated 935 Local ( -1.41, 0.52, 1.54) Global ( -1.41, 0.52, 1.54) +TGeoTessellated 936 Local ( -1.13, 0.21, 2.35) Global ( -1.13, 0.21, 2.35) +TGeoTessellated 937 Local ( -1.14, 0.12, 2.38) Global ( -1.14, 0.12, 2.38) +TGeoTessellated 938 Local ( -1.21, 0.17, 2.17) Global ( -1.21, 0.17, 2.17) +TGeoTessellated 939 Local ( -1.19, 0.26, 2.15) Global ( -1.19, 0.26, 2.15) +TGeoTessellated 940 Local ( -1.16, 0.03, 2.44) Global ( -1.16, 0.03, 2.44) +TGeoTessellated 941 Local ( -1.23, 0.10, 2.21) Global ( -1.23, 0.10, 2.21) +TGeoTessellated 942 Local ( -1.31, 0.13, 1.91) Global ( -1.31, 0.13, 1.91) +TGeoTessellated 943 Local ( -1.29, 0.20, 1.88) Global ( -1.29, 0.20, 1.88) +TGeoTessellated 944 Local ( -1.43, 0.12, 1.56) Global ( -1.43, 0.12, 1.56) +TGeoTessellated 945 Local ( -1.41, 0.18, 1.54) Global ( -1.41, 0.18, 1.54) +TGeoTessellated 946 Local ( -1.27, 0.27, 1.87) Global ( -1.27, 0.27, 1.87) +TGeoTessellated 947 Local ( -1.39, 0.25, 1.52) Global ( -1.39, 0.25, 1.52) +TGeoTessellated 948 Local ( -1.57, 0.43, 1.17) Global ( -1.57, 0.43, 1.17) +TGeoTessellated 949 Local ( -1.56, 0.37, 1.15) Global ( -1.56, 0.37, 1.15) +TGeoTessellated 950 Local ( -1.74, 0.26, 0.79) Global ( -1.74, 0.26, 0.79) +TGeoTessellated 951 Local ( -1.76, 0.32, 0.82) Global ( -1.76, 0.32, 0.82) +TGeoTessellated 952 Local ( -1.55, 0.31, 1.14) Global ( -1.55, 0.31, 1.14) +TGeoTessellated 953 Local ( -1.74, 0.20, 0.78) Global ( -1.74, 0.20, 0.78) +TGeoTessellated 954 Local ( -1.55, 0.24, 1.14) Global ( -1.55, 0.24, 1.14) +TGeoTessellated 955 Local ( -1.74, 0.13, 0.78) Global ( -1.74, 0.13, 0.78) +TGeoTessellated 956 Local ( -1.93, 0.08, 0.47) Global ( -1.93, 0.08, 0.47) +TGeoTessellated 957 Local ( -1.93, 0.15, 0.49) Global ( -1.93, 0.15, 0.49) +TGeoTessellated 958 Local ( -1.93, 0.02, 0.47) Global ( -1.93, 0.02, 0.47) +TGeoTessellated 959 Local ( -1.93, 0.21, 0.53) Global ( -1.93, 0.21, 0.53) +TGeoTessellated 960 Local ( -1.56, 0.17, 1.15) Global ( -1.56, 0.17, 1.15) +TGeoTessellated 961 Local ( -1.57, 0.10, 1.17) Global ( -1.57, 0.10, 1.17) +TGeoTessellated 962 Local ( -1.76, 0.00, 0.81) Global ( -1.76, 0.00, 0.81) +TGeoTessellated 963 Local ( -1.75, 0.06, 0.79) Global ( -1.75, 0.06, 0.79) +TGeoTessellated 964 Local ( -1.60, 0.05, 1.19) Global ( -1.60, 0.05, 1.19) +TGeoTessellated 965 Local ( -1.77, -0.05, 0.84) Global ( -1.77, -0.05, 0.84) +TGeoTessellated 966 Local ( -1.94, -0.15, 0.55) Global ( -1.94, -0.15, 0.55) +TGeoTessellated 967 Local ( -1.94, -0.11, 0.50) Global ( -1.94, -0.11, 0.50) +TGeoTessellated 968 Local ( -1.94, -0.05, 0.47) Global ( -1.94, -0.05, 0.47) +TGeoTessellated 969 Local ( -1.04, 0.57, 0.28) Global ( -1.04, 0.57, 0.28) +TGeoTessellated 970 Local ( -1.08, 0.47, 0.23) Global ( -1.08, 0.47, 0.23) +TGeoTessellated 971 Local ( -1.05, 0.44, 0.48) Global ( -1.05, 0.44, 0.48) +TGeoTessellated 972 Local ( -1.02, 0.54, 0.53) Global ( -1.02, 0.54, 0.53) +TGeoTessellated 973 Local ( -1.06, 0.58, -0.10) Global ( -1.06, 0.58, -0.10) +TGeoTessellated 974 Local ( -1.10, 0.49, -0.14) Global ( -1.10, 0.49, -0.14) +TGeoTessellated 975 Local ( -1.11, 0.36, 0.17) Global ( -1.11, 0.36, 0.17) +TGeoTessellated 976 Local ( -1.08, 0.33, 0.41) Global ( -1.08, 0.33, 0.41) +TGeoTessellated 977 Local ( -1.13, 0.38, -0.19) Global ( -1.13, 0.38, -0.19) +TGeoTessellated 978 Local ( -1.14, 0.28, -0.24) Global ( -1.14, 0.28, -0.24) +TGeoTessellated 979 Local ( -1.12, 0.25, 0.10) Global ( -1.12, 0.25, 0.10) +TGeoTessellated 980 Local ( -1.10, 0.21, 0.34) Global ( -1.10, 0.21, 0.34) +TGeoTessellated 981 Local ( -1.05, 0.28, 0.59) Global ( -1.05, 0.28, 0.59) +TGeoTessellated 982 Local ( -1.03, 0.40, 0.66) Global ( -1.03, 0.40, 0.66) +TGeoTessellated 983 Local ( -1.07, 0.16, 0.52) Global ( -1.07, 0.16, 0.52) +TGeoTessellated 984 Local ( -0.99, 0.50, 0.71) Global ( -0.99, 0.50, 0.71) +TGeoTessellated 985 Local ( -1.13, 0.14, 0.04) Global ( -1.13, 0.14, 0.04) +TGeoTessellated 986 Local ( -1.12, 0.03, -0.03) Global ( -1.12, 0.03, -0.03) +TGeoTessellated 987 Local ( -1.10, -0.02, 0.20) Global ( -1.10, -0.02, 0.20) +TGeoTessellated 988 Local ( -1.11, 0.09, 0.27) Global ( -1.11, 0.09, 0.27) +TGeoTessellated 989 Local ( -1.15, 0.17, -0.30) Global ( -1.15, 0.17, -0.30) +TGeoTessellated 990 Local ( -1.14, 0.06, -0.36) Global ( -1.14, 0.06, -0.36) +TGeoTessellated 991 Local ( -1.10, -0.07, -0.09) Global ( -1.10, -0.07, -0.09) +TGeoTessellated 992 Local ( -1.08, -0.12, 0.13) Global ( -1.08, -0.12, 0.13) +TGeoTessellated 993 Local ( -1.12, -0.04, -0.41) Global ( -1.12, -0.04, -0.41) +TGeoTessellated 994 Local ( -1.05, -0.18, 0.30) Global ( -1.05, -0.18, 0.30) +TGeoTessellated 995 Local ( -1.07, -0.07, 0.37) Global ( -1.07, -0.07, 0.37) +TGeoTessellated 996 Local ( -1.08, 0.04, 0.45) Global ( -1.08, 0.04, 0.45) +TGeoTessellated 997 Local ( -0.11, -0.18, -0.60) Global ( -0.11, -0.18, -0.60) +TGeoTessellated 998 Local ( -0.10, -0.05, -0.60) Global ( -0.10, -0.05, -0.60) +TGeoTessellated 999 Local ( -0.06, -0.06, -0.49) Global ( -0.06, -0.06, -0.49) +TGeoTessellated 1000 Local ( -0.07, -0.20, -0.50) Global ( -0.07, -0.20, -0.50) +TGeoTessellated 1001 Local ( -0.18, -0.15, -0.82) Global ( -0.18, -0.15, -0.82) +TGeoTessellated 1002 Local ( -0.16, -0.03, -0.83) Global ( -0.16, -0.03, -0.83) +TGeoTessellated 1003 Local ( -0.09, 0.09, -0.57) Global ( -0.09, 0.09, -0.57) +TGeoTessellated 1004 Local ( -0.05, 0.08, -0.45) Global ( -0.05, 0.08, -0.45) +TGeoTessellated 1005 Local ( -0.15, 0.10, -0.80) Global ( -0.15, 0.10, -0.80) +TGeoTessellated 1006 Local ( -0.15, 0.23, -0.75) Global ( -0.15, 0.23, -0.75) +TGeoTessellated 1007 Local ( -0.10, 0.23, -0.51) Global ( -0.10, 0.23, -0.51) +TGeoTessellated 1008 Local ( -0.06, 0.22, -0.39) Global ( -0.06, 0.22, -0.39) +TGeoTessellated 1009 Local ( -0.02, 0.07, -0.41) Global ( -0.02, 0.07, -0.41) +TGeoTessellated 1010 Local ( -0.03, -0.08, -0.45) Global ( -0.03, -0.08, -0.45) +TGeoTessellated 1011 Local ( -0.03, 0.22, -0.35) Global ( -0.03, 0.22, -0.35) +TGeoTessellated 1012 Local ( 0.00, 0.21, -0.35) Global ( 0.00, 0.21, -0.35) +TGeoTessellated 1013 Local ( 0.00, 0.06, -0.41) Global ( 0.00, 0.06, -0.41) +TGeoTessellated 1014 Local ( 0.00, -0.08, -0.45) Global ( 0.00, -0.08, -0.45) +TGeoTessellated 1015 Local ( -0.03, -0.21, -0.46) Global ( -0.03, -0.21, -0.46) +TGeoTessellated 1016 Local ( 0.00, -0.22, -0.46) Global ( 0.00, -0.22, -0.46) +TGeoTessellated 1017 Local ( -0.11, 0.36, -0.45) Global ( -0.11, 0.36, -0.45) +TGeoTessellated 1018 Local ( -0.12, 0.49, -0.36) Global ( -0.12, 0.49, -0.36) +TGeoTessellated 1019 Local ( -0.07, 0.49, -0.25) Global ( -0.07, 0.49, -0.25) +TGeoTessellated 1020 Local ( -0.06, 0.36, -0.33) Global ( -0.06, 0.36, -0.33) +TGeoTessellated 1021 Local ( -0.16, 0.36, -0.69) Global ( -0.16, 0.36, -0.69) +TGeoTessellated 1022 Local ( -0.18, 0.48, -0.61) Global ( -0.18, 0.48, -0.61) +TGeoTessellated 1023 Local ( -0.14, 0.60, -0.24) Global ( -0.14, 0.60, -0.24) +TGeoTessellated 1024 Local ( -0.09, 0.60, -0.14) Global ( -0.09, 0.60, -0.14) +TGeoTessellated 1025 Local ( -0.21, 0.59, -0.48) Global ( -0.21, 0.59, -0.48) +TGeoTessellated 1026 Local ( -0.04, 0.60, -0.10) Global ( -0.04, 0.60, -0.10) +TGeoTessellated 1027 Local ( -0.03, 0.49, -0.21) Global ( -0.03, 0.49, -0.21) +TGeoTessellated 1028 Local ( 0.00, 0.59, -0.10) Global ( 0.00, 0.59, -0.10) +TGeoTessellated 1029 Local ( 0.00, 0.49, -0.21) Global ( 0.00, 0.49, -0.21) +TGeoTessellated 1030 Local ( -0.03, 0.36, -0.29) Global ( -0.03, 0.36, -0.29) +TGeoTessellated 1031 Local ( 0.00, 0.36, -0.29) Global ( 0.00, 0.36, -0.29) +TGeoTessellated 1032 Local ( -0.43, -0.03, -2.27) Global ( -0.43, -0.03, -2.27) +TGeoTessellated 1033 Local ( -0.40, 0.05, -2.26) Global ( -0.40, 0.05, -2.26) +TGeoTessellated 1034 Local ( -0.32, 0.02, -1.70) Global ( -0.32, 0.02, -1.70) +TGeoTessellated 1035 Local ( -0.35, -0.07, -1.71) Global ( -0.35, -0.07, -1.71) +TGeoTessellated 1036 Local ( -0.51, 0.02, -2.85) Global ( -0.51, 0.02, -2.85) +TGeoTessellated 1037 Local ( -0.48, 0.08, -2.85) Global ( -0.48, 0.08, -2.85) +TGeoTessellated 1038 Local ( -0.38, 0.12, -2.25) Global ( -0.38, 0.12, -2.25) +TGeoTessellated 1039 Local ( -0.30, 0.11, -1.68) Global ( -0.30, 0.11, -1.68) +TGeoTessellated 1040 Local ( -0.46, 0.14, -2.85) Global ( -0.46, 0.14, -2.85) +TGeoTessellated 1041 Local ( -0.45, 0.21, -2.84) Global ( -0.45, 0.21, -2.84) +TGeoTessellated 1042 Local ( -0.38, 0.21, -2.23) Global ( -0.38, 0.21, -2.23) +TGeoTessellated 1043 Local ( -0.30, 0.21, -1.65) Global ( -0.30, 0.21, -1.65) +TGeoTessellated 1044 Local ( -0.22, 0.11, -1.18) Global ( -0.22, 0.11, -1.18) +TGeoTessellated 1045 Local ( -0.23, -0.01, -1.21) Global ( -0.23, -0.01, -1.21) +TGeoTessellated 1046 Local ( -0.22, 0.22, -1.14) Global ( -0.22, 0.22, -1.14) +TGeoTessellated 1047 Local ( -0.26, -0.11, -1.20) Global ( -0.26, -0.11, -1.20) +TGeoTessellated 1048 Local ( -0.39, 0.29, -2.20) Global ( -0.39, 0.29, -2.20) +TGeoTessellated 1049 Local ( -0.40, 0.37, -2.18) Global ( -0.40, 0.37, -2.18) +TGeoTessellated 1050 Local ( -0.33, 0.40, -1.57) Global ( -0.33, 0.40, -1.57) +TGeoTessellated 1051 Local ( -0.31, 0.31, -1.61) Global ( -0.31, 0.31, -1.61) +TGeoTessellated 1052 Local ( -0.46, 0.28, -2.82) Global ( -0.46, 0.28, -2.82) +TGeoTessellated 1053 Local ( -0.47, 0.34, -2.81) Global ( -0.47, 0.34, -2.81) +TGeoTessellated 1054 Local ( -0.43, 0.44, -2.15) Global ( -0.43, 0.44, -2.15) +TGeoTessellated 1055 Local ( -0.36, 0.49, -1.52) Global ( -0.36, 0.49, -1.52) +TGeoTessellated 1056 Local ( -0.50, 0.41, -2.80) Global ( -0.50, 0.41, -2.80) +TGeoTessellated 1057 Local ( -0.28, 0.55, -0.94) Global ( -0.28, 0.55, -0.94) +TGeoTessellated 1058 Local ( -0.25, 0.44, -1.03) Global ( -0.25, 0.44, -1.03) +TGeoTessellated 1059 Local ( -0.23, 0.34, -1.09) Global ( -0.23, 0.34, -1.09) +TGeoTessellated 1060 Local ( -1.10, 0.52, -2.01) Global ( -1.10, 0.52, -2.01) +TGeoTessellated 1061 Local ( -1.13, 0.45, -2.02) Global ( -1.13, 0.45, -2.02) +TGeoTessellated 1062 Local ( -1.13, 0.47, -1.32) Global ( -1.13, 0.47, -1.32) +TGeoTessellated 1063 Local ( -1.09, 0.55, -1.30) Global ( -1.09, 0.55, -1.30) +TGeoTessellated 1064 Local ( -1.10, 0.50, -2.72) Global ( -1.10, 0.50, -2.72) +TGeoTessellated 1065 Local ( -1.13, 0.43, -2.73) Global ( -1.13, 0.43, -2.73) +TGeoTessellated 1066 Local ( -1.16, 0.36, -2.04) Global ( -1.16, 0.36, -2.04) +TGeoTessellated 1067 Local ( -1.15, 0.38, -1.35) Global ( -1.15, 0.38, -1.35) +TGeoTessellated 1068 Local ( -1.15, 0.36, -2.74) Global ( -1.15, 0.36, -2.74) +TGeoTessellated 1069 Local ( -1.17, 0.27, -2.75) Global ( -1.17, 0.27, -2.75) +TGeoTessellated 1070 Local ( -1.17, 0.27, -2.06) Global ( -1.17, 0.27, -2.06) +TGeoTessellated 1071 Local ( -1.17, 0.28, -1.38) Global ( -1.17, 0.28, -1.38) +TGeoTessellated 1072 Local ( -1.14, 0.39, -0.71) Global ( -1.14, 0.39, -0.71) +TGeoTessellated 1073 Local ( -1.12, 0.48, -0.67) Global ( -1.12, 0.48, -0.67) +TGeoTessellated 1074 Local ( -1.16, 0.28, -0.75) Global ( -1.16, 0.28, -0.75) +TGeoTessellated 1075 Local ( -1.08, 0.57, -0.64) Global ( -1.08, 0.57, -0.64) +TGeoTessellated 1076 Local ( -1.18, 0.18, -2.08) Global ( -1.18, 0.18, -2.08) +TGeoTessellated 1077 Local ( -1.17, 0.10, -2.10) Global ( -1.17, 0.10, -2.10) +TGeoTessellated 1078 Local ( -1.17, 0.09, -1.44) Global ( -1.17, 0.09, -1.44) +TGeoTessellated 1079 Local ( -1.17, 0.18, -1.41) Global ( -1.17, 0.18, -1.41) +TGeoTessellated 1080 Local ( -1.17, 0.19, -2.76) Global ( -1.17, 0.19, -2.76) +TGeoTessellated 1081 Local ( -1.16, 0.11, -2.77) Global ( -1.16, 0.11, -2.77) +TGeoTessellated 1082 Local ( -1.15, 0.02, -2.11) Global ( -1.15, 0.02, -2.11) +TGeoTessellated 1083 Local ( -1.15, 0.00, -1.47) Global ( -1.15, 0.00, -1.47) +TGeoTessellated 1084 Local ( -1.14, 0.04, -2.78) Global ( -1.14, 0.04, -2.78) +TGeoTessellated 1085 Local ( -1.14, -0.01, -0.88) Global ( -1.14, -0.01, -0.88) +TGeoTessellated 1086 Local ( -1.16, 0.08, -0.84) Global ( -1.16, 0.08, -0.84) +TGeoTessellated 1087 Local ( -1.16, 0.18, -0.80) Global ( -1.16, 0.18, -0.80) +TGeoTessellated 1088 Local ( -1.04, 0.51, -4.39) Global ( -1.04, 0.51, -4.39) +TGeoTessellated 1089 Local ( -1.07, 0.46, -4.44) Global ( -1.07, 0.46, -4.44) +TGeoTessellated 1090 Local ( -1.10, 0.45, -3.96) Global ( -1.10, 0.45, -3.96) +TGeoTessellated 1091 Local ( -1.07, 0.50, -3.95) Global ( -1.07, 0.50, -3.95) +TGeoTessellated 1092 Local ( -1.01, 0.52, -4.70) Global ( -1.01, 0.52, -4.70) +TGeoTessellated 1093 Local ( -1.03, 0.48, -4.79) Global ( -1.03, 0.48, -4.79) +TGeoTessellated 1094 Local ( -1.08, 0.40, -4.46) Global ( -1.08, 0.40, -4.46) +TGeoTessellated 1095 Local ( -1.12, 0.38, -3.97) Global ( -1.12, 0.38, -3.97) +TGeoTessellated 1096 Local ( -1.04, 0.42, -4.82) Global ( -1.04, 0.42, -4.82) +TGeoTessellated 1097 Local ( -1.05, 0.37, -4.82) Global ( -1.05, 0.37, -4.82) +TGeoTessellated 1098 Local ( -1.09, 0.34, -4.46) Global ( -1.09, 0.34, -4.46) +TGeoTessellated 1099 Local ( -1.13, 0.31, -3.98) Global ( -1.13, 0.31, -3.98) +TGeoTessellated 1100 Local ( -1.14, 0.36, -3.39) Global ( -1.14, 0.36, -3.39) +TGeoTessellated 1101 Local ( -1.12, 0.43, -3.39) Global ( -1.12, 0.43, -3.39) +TGeoTessellated 1102 Local ( -1.15, 0.29, -3.40) Global ( -1.15, 0.29, -3.40) +TGeoTessellated 1103 Local ( -1.09, 0.50, -3.38) Global ( -1.09, 0.50, -3.38) +TGeoTessellated 1104 Local ( -1.09, 0.28, -4.46) Global ( -1.09, 0.28, -4.46) +TGeoTessellated 1105 Local ( -1.09, 0.22, -4.44) Global ( -1.09, 0.22, -4.44) +TGeoTessellated 1106 Local ( -1.12, 0.18, -3.97) Global ( -1.12, 0.18, -3.97) +TGeoTessellated 1107 Local ( -1.13, 0.24, -3.97) Global ( -1.13, 0.24, -3.97) +TGeoTessellated 1108 Local ( -1.05, 0.31, -4.82) Global ( -1.05, 0.31, -4.82) +TGeoTessellated 1109 Local ( -1.05, 0.25, -4.79) Global ( -1.05, 0.25, -4.79) +TGeoTessellated 1110 Local ( -1.08, 0.16, -4.39) Global ( -1.08, 0.16, -4.39) +TGeoTessellated 1111 Local ( -1.11, 0.12, -3.95) Global ( -1.11, 0.12, -3.95) +TGeoTessellated 1112 Local ( -1.05, 0.20, -4.70) Global ( -1.05, 0.20, -4.70) +TGeoTessellated 1113 Local ( -1.13, 0.08, -3.40) Global ( -1.13, 0.08, -3.40) +TGeoTessellated 1114 Local ( -1.15, 0.14, -3.40) Global ( -1.15, 0.14, -3.40) +TGeoTessellated 1115 Local ( -1.15, 0.21, -3.40) Global ( -1.15, 0.21, -3.40) +TGeoTessellated 1116 Local ( -0.63, 0.16, -4.39) Global ( -0.63, 0.16, -4.39) +TGeoTessellated 1117 Local ( -0.61, 0.20, -4.44) Global ( -0.61, 0.20, -4.44) +TGeoTessellated 1118 Local ( -0.57, 0.16, -3.98) Global ( -0.57, 0.16, -3.98) +TGeoTessellated 1119 Local ( -0.60, 0.12, -3.96) Global ( -0.60, 0.12, -3.96) +TGeoTessellated 1120 Local ( -0.67, 0.19, -4.70) Global ( -0.67, 0.19, -4.70) +TGeoTessellated 1121 Local ( -0.65, 0.24, -4.79) Global ( -0.65, 0.24, -4.79) +TGeoTessellated 1122 Local ( -0.60, 0.25, -4.46) Global ( -0.60, 0.25, -4.46) +TGeoTessellated 1123 Local ( -0.56, 0.21, -3.99) Global ( -0.56, 0.21, -3.99) +TGeoTessellated 1124 Local ( -0.64, 0.28, -4.82) Global ( -0.64, 0.28, -4.82) +TGeoTessellated 1125 Local ( -0.63, 0.32, -4.83) Global ( -0.63, 0.32, -4.83) +TGeoTessellated 1126 Local ( -0.59, 0.29, -4.46) Global ( -0.59, 0.29, -4.46) +TGeoTessellated 1127 Local ( -0.55, 0.26, -3.99) Global ( -0.55, 0.26, -3.99) +TGeoTessellated 1128 Local ( -0.51, 0.17, -3.44) Global ( -0.51, 0.17, -3.44) +TGeoTessellated 1129 Local ( -0.53, 0.12, -3.44) Global ( -0.53, 0.12, -3.44) +TGeoTessellated 1130 Local ( -0.51, 0.23, -3.43) Global ( -0.51, 0.23, -3.43) +TGeoTessellated 1131 Local ( -0.56, 0.07, -3.43) Global ( -0.56, 0.07, -3.43) +TGeoTessellated 1132 Local ( -0.59, 0.34, -4.46) Global ( -0.59, 0.34, -4.46) +TGeoTessellated 1133 Local ( -0.60, 0.38, -4.44) Global ( -0.60, 0.38, -4.44) +TGeoTessellated 1134 Local ( -0.57, 0.36, -3.97) Global ( -0.57, 0.36, -3.97) +TGeoTessellated 1135 Local ( -0.55, 0.31, -3.98) Global ( -0.55, 0.31, -3.98) +TGeoTessellated 1136 Local ( -0.63, 0.37, -4.82) Global ( -0.63, 0.37, -4.82) +TGeoTessellated 1137 Local ( -0.64, 0.41, -4.79) Global ( -0.64, 0.41, -4.79) +TGeoTessellated 1138 Local ( -0.62, 0.42, -4.39) Global ( -0.62, 0.42, -4.39) +TGeoTessellated 1139 Local ( -0.59, 0.40, -3.96) Global ( -0.59, 0.40, -3.96) +TGeoTessellated 1140 Local ( -0.65, 0.44, -4.70) Global ( -0.65, 0.44, -4.70) +TGeoTessellated 1141 Local ( -0.55, 0.40, -3.41) Global ( -0.55, 0.40, -3.41) +TGeoTessellated 1142 Local ( -0.52, 0.34, -3.42) Global ( -0.52, 0.34, -3.42) +TGeoTessellated 1143 Local ( -0.51, 0.28, -3.43) Global ( -0.51, 0.28, -3.43) +TGeoTessellated 1144 Local ( -0.88, 0.55, -5.02) Global ( -0.88, 0.55, -5.02) +TGeoTessellated 1145 Local ( -0.89, 0.51, -5.14) Global ( -0.89, 0.51, -5.14) +TGeoTessellated 1146 Local ( -0.94, 0.50, -5.11) Global ( -0.94, 0.50, -5.11) +TGeoTessellated 1147 Local ( -0.93, 0.55, -4.99) Global ( -0.93, 0.55, -4.99) +TGeoTessellated 1148 Local ( -0.83, 0.55, -5.02) Global ( -0.83, 0.55, -5.02) +TGeoTessellated 1149 Local ( -0.83, 0.50, -5.14) Global ( -0.83, 0.50, -5.14) +TGeoTessellated 1150 Local ( -0.89, 0.45, -5.19) Global ( -0.89, 0.45, -5.19) +TGeoTessellated 1151 Local ( -0.95, 0.45, -5.15) Global ( -0.95, 0.45, -5.15) +TGeoTessellated 1152 Local ( -0.84, 0.45, -5.19) Global ( -0.84, 0.45, -5.19) +TGeoTessellated 1153 Local ( -0.85, 0.39, -5.20) Global ( -0.85, 0.39, -5.20) +TGeoTessellated 1154 Local ( -0.90, 0.39, -5.20) Global ( -0.90, 0.39, -5.20) +TGeoTessellated 1155 Local ( -0.96, 0.39, -5.16) Global ( -0.96, 0.39, -5.16) +TGeoTessellated 1156 Local ( -1.00, 0.44, -5.04) Global ( -1.00, 0.44, -5.04) +TGeoTessellated 1157 Local ( -0.99, 0.49, -5.00) Global ( -0.99, 0.49, -5.00) +TGeoTessellated 1158 Local ( -1.01, 0.38, -5.04) Global ( -1.01, 0.38, -5.04) +TGeoTessellated 1159 Local ( -0.97, 0.53, -4.89) Global ( -0.97, 0.53, -4.89) +TGeoTessellated 1160 Local ( -0.91, 0.33, -5.19) Global ( -0.91, 0.33, -5.19) +TGeoTessellated 1161 Local ( -0.91, 0.28, -5.14) Global ( -0.91, 0.28, -5.14) +TGeoTessellated 1162 Local ( -0.96, 0.27, -5.11) Global ( -0.96, 0.27, -5.11) +TGeoTessellated 1163 Local ( -0.96, 0.33, -5.15) Global ( -0.96, 0.33, -5.15) +TGeoTessellated 1164 Local ( -0.85, 0.33, -5.19) Global ( -0.85, 0.33, -5.19) +TGeoTessellated 1165 Local ( -0.86, 0.27, -5.14) Global ( -0.86, 0.27, -5.14) +TGeoTessellated 1166 Local ( -0.92, 0.21, -5.02) Global ( -0.92, 0.21, -5.02) +TGeoTessellated 1167 Local ( -0.97, 0.21, -4.99) Global ( -0.97, 0.21, -4.99) +TGeoTessellated 1168 Local ( -0.86, 0.21, -5.02) Global ( -0.86, 0.21, -5.02) +TGeoTessellated 1169 Local ( -1.01, 0.21, -4.89) Global ( -1.01, 0.21, -4.89) +TGeoTessellated 1170 Local ( -1.01, 0.27, -5.00) Global ( -1.01, 0.27, -5.00) +TGeoTessellated 1171 Local ( -1.01, 0.32, -5.04) Global ( -1.01, 0.32, -5.04) +TGeoTessellated 1172 Local ( -0.81, 0.21, -5.02) Global ( -0.81, 0.21, -5.02) +TGeoTessellated 1173 Local ( -0.80, 0.27, -5.14) Global ( -0.80, 0.27, -5.14) +TGeoTessellated 1174 Local ( -0.75, 0.27, -5.11) Global ( -0.75, 0.27, -5.11) +TGeoTessellated 1175 Local ( -0.76, 0.21, -4.99) Global ( -0.76, 0.21, -4.99) +TGeoTessellated 1176 Local ( -0.80, 0.33, -5.19) Global ( -0.80, 0.33, -5.19) +TGeoTessellated 1177 Local ( -0.74, 0.32, -5.15) Global ( -0.74, 0.32, -5.15) +TGeoTessellated 1178 Local ( -0.79, 0.38, -5.20) Global ( -0.79, 0.38, -5.20) +TGeoTessellated 1179 Local ( -0.73, 0.37, -5.16) Global ( -0.73, 0.37, -5.16) +TGeoTessellated 1180 Local ( -0.69, 0.30, -5.04) Global ( -0.69, 0.30, -5.04) +TGeoTessellated 1181 Local ( -0.70, 0.26, -5.00) Global ( -0.70, 0.26, -5.00) +TGeoTessellated 1182 Local ( -0.68, 0.35, -5.05) Global ( -0.68, 0.35, -5.05) +TGeoTessellated 1183 Local ( -0.71, 0.21, -4.89) Global ( -0.71, 0.21, -4.89) +TGeoTessellated 1184 Local ( -0.78, 0.44, -5.19) Global ( -0.78, 0.44, -5.19) +TGeoTessellated 1185 Local ( -0.78, 0.49, -5.14) Global ( -0.78, 0.49, -5.14) +TGeoTessellated 1186 Local ( -0.73, 0.47, -5.11) Global ( -0.73, 0.47, -5.11) +TGeoTessellated 1187 Local ( -0.73, 0.42, -5.15) Global ( -0.73, 0.42, -5.15) +TGeoTessellated 1188 Local ( -0.78, 0.53, -5.02) Global ( -0.78, 0.53, -5.02) +TGeoTessellated 1189 Local ( -0.73, 0.50, -4.99) Global ( -0.73, 0.50, -4.99) +TGeoTessellated 1190 Local ( -0.69, 0.47, -4.89) Global ( -0.69, 0.47, -4.89) +TGeoTessellated 1191 Local ( -0.68, 0.44, -5.00) Global ( -0.68, 0.44, -5.00) +TGeoTessellated 1192 Local ( -0.68, 0.40, -5.04) Global ( -0.68, 0.40, -5.04) +TGeoTessellated 1193 Local ( -0.61, -0.00, 3.87) Global ( -0.61, -0.00, 3.87) +TGeoTessellated 1194 Local ( -0.63, 0.06, 3.89) Global ( -0.63, 0.06, 3.89) +TGeoTessellated 1195 Local ( -0.75, 0.05, 3.82) Global ( -0.75, 0.05, 3.82) +TGeoTessellated 1196 Local ( -0.72, -0.03, 3.80) Global ( -0.72, -0.03, 3.80) +TGeoTessellated 1197 Local ( -0.51, 0.01, 3.93) Global ( -0.51, 0.01, 3.93) +TGeoTessellated 1198 Local ( -0.53, 0.06, 3.95) Global ( -0.53, 0.06, 3.95) +TGeoTessellated 1199 Local ( -0.64, 0.13, 3.90) Global ( -0.64, 0.13, 3.90) +TGeoTessellated 1200 Local ( -0.76, 0.13, 3.84) Global ( -0.76, 0.13, 3.84) +TGeoTessellated 1201 Local ( -0.53, 0.12, 3.96) Global ( -0.53, 0.12, 3.96) +TGeoTessellated 1202 Local ( -0.54, 0.18, 3.97) Global ( -0.54, 0.18, 3.97) +TGeoTessellated 1203 Local ( -0.64, 0.20, 3.91) Global ( -0.64, 0.20, 3.91) +TGeoTessellated 1204 Local ( -0.76, 0.21, 3.84) Global ( -0.76, 0.21, 3.84) +TGeoTessellated 1205 Local ( -0.88, 0.13, 3.77) Global ( -0.88, 0.13, 3.77) +TGeoTessellated 1206 Local ( -0.87, 0.04, 3.75) Global ( -0.87, 0.04, 3.75) +TGeoTessellated 1207 Local ( -0.89, 0.23, 3.78) Global ( -0.89, 0.23, 3.78) +TGeoTessellated 1208 Local ( -0.85, -0.05, 3.72) Global ( -0.85, -0.05, 3.72) +TGeoTessellated 1209 Local ( -0.64, 0.27, 3.91) Global ( -0.64, 0.27, 3.91) +TGeoTessellated 1210 Local ( -0.63, 0.34, 3.90) Global ( -0.63, 0.34, 3.90) +TGeoTessellated 1211 Local ( -0.75, 0.38, 3.84) Global ( -0.75, 0.38, 3.84) +TGeoTessellated 1212 Local ( -0.76, 0.30, 3.84) Global ( -0.76, 0.30, 3.84) +TGeoTessellated 1213 Local ( -0.53, 0.24, 3.97) Global ( -0.53, 0.24, 3.97) +TGeoTessellated 1214 Local ( -0.53, 0.30, 3.96) Global ( -0.53, 0.30, 3.96) +TGeoTessellated 1215 Local ( -0.61, 0.40, 3.89) Global ( -0.61, 0.40, 3.89) +TGeoTessellated 1216 Local ( -0.72, 0.45, 3.83) Global ( -0.72, 0.45, 3.83) +TGeoTessellated 1217 Local ( -0.51, 0.36, 3.96) Global ( -0.51, 0.36, 3.96) +TGeoTessellated 1218 Local ( -0.85, 0.50, 3.75) Global ( -0.85, 0.50, 3.75) +TGeoTessellated 1219 Local ( -0.87, 0.41, 3.77) Global ( -0.87, 0.41, 3.77) +TGeoTessellated 1220 Local ( -0.88, 0.32, 3.78) Global ( -0.88, 0.32, 3.78) +TGeoTessellated 1221 Local ( -0.28, 0.17, 5.44) Global ( -0.28, 0.17, 5.44) +TGeoTessellated 1222 Local ( -0.28, 0.13, 5.45) Global ( -0.28, 0.13, 5.45) +TGeoTessellated 1223 Local ( -0.24, 0.14, 5.47) Global ( -0.24, 0.14, 5.47) +TGeoTessellated 1224 Local ( -0.25, 0.19, 5.45) Global ( -0.25, 0.19, 5.45) +TGeoTessellated 1225 Local ( -0.26, 0.23, 5.42) Global ( -0.26, 0.23, 5.42) +TGeoTessellated 1226 Local ( -0.28, 0.21, 5.41) Global ( -0.28, 0.21, 5.41) +TGeoTessellated 1227 Local ( -0.30, 0.19, 5.40) Global ( -0.30, 0.19, 5.40) +TGeoTessellated 1228 Local ( -0.31, 0.16, 5.41) Global ( -0.31, 0.16, 5.41) +TGeoTessellated 1229 Local ( -0.31, 0.12, 5.42) Global ( -0.31, 0.12, 5.42) +TGeoTessellated 1230 Local ( -0.28, 0.08, 5.46) Global ( -0.28, 0.08, 5.46) +TGeoTessellated 1231 Local ( -0.23, 0.08, 5.48) Global ( -0.23, 0.08, 5.48) +TGeoTessellated 1232 Local ( -0.32, 0.07, 5.42) Global ( -0.32, 0.07, 5.42) +TGeoTessellated 1233 Local ( -0.32, 0.03, 5.42) Global ( -0.32, 0.03, 5.42) +TGeoTessellated 1234 Local ( -0.28, 0.02, 5.45) Global ( -0.28, 0.02, 5.45) +TGeoTessellated 1235 Local ( -0.22, 0.02, 5.48) Global ( -0.22, 0.02, 5.48) +TGeoTessellated 1236 Local ( -0.18, 0.09, 5.50) Global ( -0.18, 0.09, 5.50) +TGeoTessellated 1237 Local ( -0.20, 0.15, 5.49) Global ( -0.20, 0.15, 5.49) +TGeoTessellated 1238 Local ( -0.17, 0.03, 5.50) Global ( -0.17, 0.03, 5.50) +TGeoTessellated 1239 Local ( -0.13, 0.03, 5.51) Global ( -0.13, 0.03, 5.51) +TGeoTessellated 1240 Local ( -0.14, 0.10, 5.51) Global ( -0.14, 0.10, 5.51) +TGeoTessellated 1241 Local ( -0.16, 0.16, 5.49) Global ( -0.16, 0.16, 5.49) +TGeoTessellated 1242 Local ( -0.21, 0.20, 5.46) Global ( -0.21, 0.20, 5.46) +TGeoTessellated 1243 Local ( -0.17, 0.22, 5.47) Global ( -0.17, 0.22, 5.47) +TGeoTessellated 1244 Local ( -0.19, 0.28, 5.43) Global ( -0.19, 0.28, 5.43) +TGeoTessellated 1245 Local ( -0.23, 0.26, 5.43) Global ( -0.23, 0.26, 5.43) +TGeoTessellated 1246 Local ( -0.27, -0.03, 5.44) Global ( -0.27, -0.03, 5.44) +TGeoTessellated 1247 Local ( -0.27, -0.08, 5.42) Global ( -0.27, -0.08, 5.42) +TGeoTessellated 1248 Local ( -0.22, -0.09, 5.45) Global ( -0.22, -0.09, 5.45) +TGeoTessellated 1249 Local ( -0.22, -0.04, 5.47) Global ( -0.22, -0.04, 5.47) +TGeoTessellated 1250 Local ( -0.32, -0.02, 5.40) Global ( -0.32, -0.02, 5.40) +TGeoTessellated 1251 Local ( -0.32, -0.07, 5.38) Global ( -0.32, -0.07, 5.38) +TGeoTessellated 1252 Local ( -0.27, -0.14, 5.39) Global ( -0.27, -0.14, 5.39) +TGeoTessellated 1253 Local ( -0.21, -0.15, 5.42) Global ( -0.21, -0.15, 5.42) +TGeoTessellated 1254 Local ( -0.32, -0.12, 5.36) Global ( -0.32, -0.12, 5.36) +TGeoTessellated 1255 Local ( -0.32, -0.17, 5.32) Global ( -0.32, -0.17, 5.32) +TGeoTessellated 1256 Local ( -0.27, -0.19, 5.37) Global ( -0.27, -0.19, 5.37) +TGeoTessellated 1257 Local ( -0.21, -0.20, 5.39) Global ( -0.21, -0.20, 5.39) +TGeoTessellated 1258 Local ( -0.16, -0.16, 5.44) Global ( -0.16, -0.16, 5.44) +TGeoTessellated 1259 Local ( -0.16, -0.10, 5.47) Global ( -0.16, -0.10, 5.47) +TGeoTessellated 1260 Local ( -0.16, -0.22, 5.41) Global ( -0.16, -0.22, 5.41) +TGeoTessellated 1261 Local ( -0.12, -0.23, 5.42) Global ( -0.12, -0.23, 5.42) +TGeoTessellated 1262 Local ( -0.12, -0.17, 5.45) Global ( -0.12, -0.17, 5.45) +TGeoTessellated 1263 Local ( -0.12, -0.11, 5.48) Global ( -0.12, -0.11, 5.48) +TGeoTessellated 1264 Local ( -0.17, -0.04, 5.49) Global ( -0.17, -0.04, 5.49) +TGeoTessellated 1265 Local ( -0.12, -0.04, 5.50) Global ( -0.12, -0.04, 5.50) +TGeoTessellated 1266 Local ( -0.13, 0.24, 5.47) Global ( -0.13, 0.24, 5.47) +TGeoTessellated 1267 Local ( -0.12, 0.17, 5.50) Global ( -0.12, 0.17, 5.50) +TGeoTessellated 1268 Local ( -0.08, 0.19, 5.50) Global ( -0.08, 0.19, 5.50) +TGeoTessellated 1269 Local ( -0.09, 0.26, 5.48) Global ( -0.09, 0.26, 5.48) +TGeoTessellated 1270 Local ( -0.10, 0.32, 5.44) Global ( -0.10, 0.32, 5.44) +TGeoTessellated 1271 Local ( -0.15, 0.30, 5.44) Global ( -0.15, 0.30, 5.44) +TGeoTessellated 1272 Local ( -0.10, 0.10, 5.51) Global ( -0.10, 0.10, 5.51) +TGeoTessellated 1273 Local ( -0.07, 0.11, 5.52) Global ( -0.07, 0.11, 5.52) +TGeoTessellated 1274 Local ( -0.09, 0.03, 5.52) Global ( -0.09, 0.03, 5.52) +TGeoTessellated 1275 Local ( -0.06, 0.04, 5.52) Global ( -0.06, 0.04, 5.52) +TGeoTessellated 1276 Local ( -0.03, 0.12, 5.52) Global ( -0.03, 0.12, 5.52) +TGeoTessellated 1277 Local ( -0.04, 0.19, 5.50) Global ( -0.04, 0.19, 5.50) +TGeoTessellated 1278 Local ( -0.03, 0.04, 5.52) Global ( -0.03, 0.04, 5.52) +TGeoTessellated 1279 Local ( 0.00, 0.04, 5.52) Global ( 0.00, 0.04, 5.52) +TGeoTessellated 1280 Local ( 0.00, 0.12, 5.52) Global ( 0.00, 0.12, 5.52) +TGeoTessellated 1281 Local ( 0.00, 0.20, 5.51) Global ( 0.00, 0.20, 5.51) +TGeoTessellated 1282 Local ( -0.05, 0.27, 5.48) Global ( -0.05, 0.27, 5.48) +TGeoTessellated 1283 Local ( 0.00, 0.27, 5.48) Global ( 0.00, 0.27, 5.48) +TGeoTessellated 1284 Local ( 0.00, 0.34, 5.44) Global ( 0.00, 0.34, 5.44) +TGeoTessellated 1285 Local ( -0.05, 0.34, 5.44) Global ( -0.05, 0.34, 5.44) +TGeoTessellated 1286 Local ( -0.08, -0.04, 5.51) Global ( -0.08, -0.04, 5.51) +TGeoTessellated 1287 Local ( -0.08, -0.11, 5.49) Global ( -0.08, -0.11, 5.49) +TGeoTessellated 1288 Local ( -0.05, -0.11, 5.49) Global ( -0.05, -0.11, 5.49) +TGeoTessellated 1289 Local ( -0.05, -0.04, 5.51) Global ( -0.05, -0.04, 5.51) +TGeoTessellated 1290 Local ( -0.08, -0.18, 5.46) Global ( -0.08, -0.18, 5.46) +TGeoTessellated 1291 Local ( -0.05, -0.18, 5.46) Global ( -0.05, -0.18, 5.46) +TGeoTessellated 1292 Local ( -0.08, -0.24, 5.43) Global ( -0.08, -0.24, 5.43) +TGeoTessellated 1293 Local ( -0.05, -0.25, 5.43) Global ( -0.05, -0.25, 5.43) +TGeoTessellated 1294 Local ( -0.02, -0.19, 5.47) Global ( -0.02, -0.19, 5.47) +TGeoTessellated 1295 Local ( -0.02, -0.11, 5.49) Global ( -0.02, -0.11, 5.49) +TGeoTessellated 1296 Local ( -0.02, -0.25, 5.43) Global ( -0.02, -0.25, 5.43) +TGeoTessellated 1297 Local ( 0.00, -0.25, 5.43) Global ( 0.00, -0.25, 5.43) +TGeoTessellated 1298 Local ( 0.00, -0.19, 5.47) Global ( 0.00, -0.19, 5.47) +TGeoTessellated 1299 Local ( 0.00, -0.11, 5.49) Global ( 0.00, -0.11, 5.49) +TGeoTessellated 1300 Local ( -0.02, -0.04, 5.51) Global ( -0.02, -0.04, 5.51) +TGeoTessellated 1301 Local ( 0.00, -0.04, 5.51) Global ( 0.00, -0.04, 5.51) +TGeoTessellated 1302 Local ( -0.03, -0.26, 4.21) Global ( -0.03, -0.26, 4.21) +TGeoTessellated 1303 Local ( -0.02, -0.31, 4.21) Global ( -0.02, -0.31, 4.21) +TGeoTessellated 1304 Local ( -0.05, -0.30, 4.22) Global ( -0.05, -0.30, 4.22) +TGeoTessellated 1305 Local ( -0.06, -0.25, 4.21) Global ( -0.06, -0.25, 4.21) +TGeoTessellated 1306 Local ( -0.06, -0.20, 4.20) Global ( -0.06, -0.20, 4.20) +TGeoTessellated 1307 Local ( -0.03, -0.21, 4.20) Global ( -0.03, -0.21, 4.20) +TGeoTessellated 1308 Local ( -0.00, -0.21, 4.20) Global ( -0.00, -0.21, 4.20) +TGeoTessellated 1309 Local ( 0.00, -0.26, 4.21) Global ( 0.00, -0.26, 4.21) +TGeoTessellated 1310 Local ( 0.00, -0.31, 4.21) Global ( 0.00, -0.31, 4.21) +TGeoTessellated 1311 Local ( -0.02, -0.36, 4.21) Global ( -0.02, -0.36, 4.21) +TGeoTessellated 1312 Local ( -0.05, -0.35, 4.22) Global ( -0.05, -0.35, 4.22) +TGeoTessellated 1313 Local ( 0.00, -0.37, 4.21) Global ( 0.00, -0.37, 4.21) +TGeoTessellated 1314 Local ( 0.00, -0.41, 4.21) Global ( 0.00, -0.41, 4.21) +TGeoTessellated 1315 Local ( -0.02, -0.41, 4.21) Global ( -0.02, -0.41, 4.21) +TGeoTessellated 1316 Local ( -0.05, -0.40, 4.22) Global ( -0.05, -0.40, 4.22) +TGeoTessellated 1317 Local ( -0.08, -0.34, 4.23) Global ( -0.08, -0.34, 4.23) +TGeoTessellated 1318 Local ( -0.08, -0.28, 4.23) Global ( -0.08, -0.28, 4.23) +TGeoTessellated 1319 Local ( -0.07, -0.38, 4.22) Global ( -0.07, -0.38, 4.22) +TGeoTessellated 1320 Local ( -0.10, -0.36, 4.24) Global ( -0.10, -0.36, 4.24) +TGeoTessellated 1321 Local ( -0.11, -0.31, 4.24) Global ( -0.11, -0.31, 4.24) +TGeoTessellated 1322 Local ( -0.11, -0.26, 4.24) Global ( -0.11, -0.26, 4.24) +TGeoTessellated 1323 Local ( -0.09, -0.23, 4.22) Global ( -0.09, -0.23, 4.22) +TGeoTessellated 1324 Local ( -0.12, -0.21, 4.23) Global ( -0.12, -0.21, 4.23) +TGeoTessellated 1325 Local ( -0.14, -0.17, 4.22) Global ( -0.14, -0.17, 4.22) +TGeoTessellated 1326 Local ( -0.10, -0.19, 4.21) Global ( -0.10, -0.19, 4.21) +TGeoTessellated 1327 Local ( -0.17, -0.18, 4.24) Global ( -0.17, -0.18, 4.24) +TGeoTessellated 1328 Local ( -0.15, -0.23, 4.25) Global ( -0.15, -0.23, 4.25) +TGeoTessellated 1329 Local ( -0.20, -0.20, 4.27) Global ( -0.20, -0.20, 4.27) +TGeoTessellated 1330 Local ( -0.21, -0.15, 4.26) Global ( -0.21, -0.15, 4.26) +TGeoTessellated 1331 Local ( -0.22, -0.12, 4.24) Global ( -0.22, -0.12, 4.24) +TGeoTessellated 1332 Local ( -0.18, -0.14, 4.23) Global ( -0.18, -0.14, 4.23) +TGeoTessellated 1333 Local ( -0.15, -0.28, 4.25) Global ( -0.15, -0.28, 4.25) +TGeoTessellated 1334 Local ( -0.19, -0.24, 4.27) Global ( -0.19, -0.24, 4.27) +TGeoTessellated 1335 Local ( -0.14, -0.32, 4.25) Global ( -0.14, -0.32, 4.25) +TGeoTessellated 1336 Local ( -0.18, -0.28, 4.28) Global ( -0.18, -0.28, 4.28) +TGeoTessellated 1337 Local ( -0.23, -0.20, 4.30) Global ( -0.23, -0.20, 4.30) +TGeoTessellated 1338 Local ( -0.24, -0.16, 4.29) Global ( -0.24, -0.16, 4.29) +TGeoTessellated 1339 Local ( -0.23, -0.23, 4.31) Global ( -0.23, -0.23, 4.31) +TGeoTessellated 1340 Local ( -0.28, -0.18, 4.34) Global ( -0.28, -0.18, 4.34) +TGeoTessellated 1341 Local ( -0.28, -0.15, 4.33) Global ( -0.28, -0.15, 4.33) +TGeoTessellated 1342 Local ( -0.29, -0.11, 4.32) Global ( -0.29, -0.11, 4.32) +TGeoTessellated 1343 Local ( -0.25, -0.12, 4.27) Global ( -0.25, -0.12, 4.27) +TGeoTessellated 1344 Local ( -0.29, -0.08, 4.29) Global ( -0.29, -0.08, 4.29) +TGeoTessellated 1345 Local ( -0.30, -0.05, 4.27) Global ( -0.30, -0.05, 4.27) +TGeoTessellated 1346 Local ( -0.26, -0.09, 4.25) Global ( -0.26, -0.09, 4.25) +TGeoTessellated 1347 Local ( -0.18, 0.46, 4.43) Global ( -0.18, 0.46, 4.43) +TGeoTessellated 1348 Local ( -0.18, 0.48, 4.48) Global ( -0.18, 0.48, 4.48) +TGeoTessellated 1349 Local ( -0.12, 0.50, 4.48) Global ( -0.12, 0.50, 4.48) +TGeoTessellated 1350 Local ( -0.12, 0.48, 4.43) Global ( -0.12, 0.48, 4.43) +TGeoTessellated 1351 Local ( -0.12, 0.46, 4.38) Global ( -0.12, 0.46, 4.38) +TGeoTessellated 1352 Local ( -0.18, 0.44, 4.39) Global ( -0.18, 0.44, 4.39) +TGeoTessellated 1353 Local ( -0.23, 0.42, 4.39) Global ( -0.23, 0.42, 4.39) +TGeoTessellated 1354 Local ( -0.23, 0.43, 4.44) Global ( -0.23, 0.43, 4.44) +TGeoTessellated 1355 Local ( -0.23, 0.45, 4.49) Global ( -0.23, 0.45, 4.49) +TGeoTessellated 1356 Local ( -0.18, 0.50, 4.54) Global ( -0.18, 0.50, 4.54) +TGeoTessellated 1357 Local ( -0.13, 0.53, 4.53) Global ( -0.13, 0.53, 4.53) +TGeoTessellated 1358 Local ( -0.24, 0.47, 4.55) Global ( -0.24, 0.47, 4.55) +TGeoTessellated 1359 Local ( -0.24, 0.49, 4.61) Global ( -0.24, 0.49, 4.61) +TGeoTessellated 1360 Local ( -0.19, 0.52, 4.60) Global ( -0.19, 0.52, 4.60) +TGeoTessellated 1361 Local ( -0.13, 0.56, 4.60) Global ( -0.13, 0.56, 4.60) +TGeoTessellated 1362 Local ( -0.06, 0.55, 4.53) Global ( -0.06, 0.55, 4.53) +TGeoTessellated 1363 Local ( -0.06, 0.52, 4.47) Global ( -0.06, 0.52, 4.47) +TGeoTessellated 1364 Local ( -0.06, 0.58, 4.59) Global ( -0.06, 0.58, 4.59) +TGeoTessellated 1365 Local ( -0.00, 0.58, 4.59) Global ( -0.00, 0.58, 4.59) +TGeoTessellated 1366 Local ( 0.00, 0.55, 4.53) Global ( 0.00, 0.55, 4.53) +TGeoTessellated 1367 Local ( 0.00, 0.52, 4.47) Global ( 0.00, 0.52, 4.47) +TGeoTessellated 1368 Local ( -0.06, 0.49, 4.42) Global ( -0.06, 0.49, 4.42) +TGeoTessellated 1369 Local ( 0.00, 0.50, 4.42) Global ( 0.00, 0.50, 4.42) +TGeoTessellated 1370 Local ( 0.00, 0.47, 4.38) Global ( 0.00, 0.47, 4.38) +TGeoTessellated 1371 Local ( -0.06, 0.47, 4.38) Global ( -0.06, 0.47, 4.38) +TGeoTessellated 1372 Local ( -0.19, 0.55, 4.68) Global ( -0.19, 0.55, 4.68) +TGeoTessellated 1373 Local ( -0.19, 0.56, 4.76) Global ( -0.19, 0.56, 4.76) +TGeoTessellated 1374 Local ( -0.13, 0.60, 4.76) Global ( -0.13, 0.60, 4.76) +TGeoTessellated 1375 Local ( -0.13, 0.58, 4.67) Global ( -0.13, 0.58, 4.67) +TGeoTessellated 1376 Local ( -0.25, 0.50, 4.68) Global ( -0.25, 0.50, 4.68) +TGeoTessellated 1377 Local ( -0.25, 0.52, 4.77) Global ( -0.25, 0.52, 4.77) +TGeoTessellated 1378 Local ( -0.19, 0.57, 4.85) Global ( -0.19, 0.57, 4.85) +TGeoTessellated 1379 Local ( -0.13, 0.61, 4.84) Global ( -0.13, 0.61, 4.84) +TGeoTessellated 1380 Local ( -0.25, 0.53, 4.85) Global ( -0.25, 0.53, 4.85) +TGeoTessellated 1381 Local ( -0.25, 0.53, 4.93) Global ( -0.25, 0.53, 4.93) +TGeoTessellated 1382 Local ( -0.19, 0.58, 4.93) Global ( -0.19, 0.58, 4.93) +TGeoTessellated 1383 Local ( -0.13, 0.61, 4.93) Global ( -0.13, 0.61, 4.93) +TGeoTessellated 1384 Local ( -0.07, 0.63, 4.84) Global ( -0.07, 0.63, 4.84) +TGeoTessellated 1385 Local ( -0.06, 0.62, 4.75) Global ( -0.06, 0.62, 4.75) +TGeoTessellated 1386 Local ( -0.07, 0.63, 4.93) Global ( -0.07, 0.63, 4.93) +TGeoTessellated 1387 Local ( 0.00, 0.64, 4.93) Global ( 0.00, 0.64, 4.93) +TGeoTessellated 1388 Local ( 0.00, 0.63, 4.84) Global ( 0.00, 0.63, 4.84) +TGeoTessellated 1389 Local ( 0.00, 0.62, 4.75) Global ( 0.00, 0.62, 4.75) +TGeoTessellated 1390 Local ( -0.06, 0.60, 4.67) Global ( -0.06, 0.60, 4.67) +TGeoTessellated 1391 Local ( 0.00, 0.61, 4.67) Global ( 0.00, 0.61, 4.67) +TGeoTessellated 1392 Local ( -0.19, 0.57, 5.01) Global ( -0.19, 0.57, 5.01) +TGeoTessellated 1393 Local ( -0.19, 0.55, 5.08) Global ( -0.19, 0.55, 5.08) +TGeoTessellated 1394 Local ( -0.13, 0.59, 5.08) Global ( -0.13, 0.59, 5.08) +TGeoTessellated 1395 Local ( -0.13, 0.60, 5.01) Global ( -0.13, 0.60, 5.01) +TGeoTessellated 1396 Local ( -0.25, 0.52, 5.01) Global ( -0.25, 0.52, 5.01) +TGeoTessellated 1397 Local ( -0.25, 0.51, 5.08) Global ( -0.25, 0.51, 5.08) +TGeoTessellated 1398 Local ( -0.19, 0.53, 5.15) Global ( -0.19, 0.53, 5.15) +TGeoTessellated 1399 Local ( -0.13, 0.56, 5.15) Global ( -0.13, 0.56, 5.15) +TGeoTessellated 1400 Local ( -0.24, 0.49, 5.15) Global ( -0.24, 0.49, 5.15) +TGeoTessellated 1401 Local ( -0.24, 0.46, 5.21) Global ( -0.24, 0.46, 5.21) +TGeoTessellated 1402 Local ( -0.19, 0.50, 5.21) Global ( -0.19, 0.50, 5.21) +TGeoTessellated 1403 Local ( -0.13, 0.53, 5.22) Global ( -0.13, 0.53, 5.22) +TGeoTessellated 1404 Local ( -0.07, 0.59, 5.15) Global ( -0.07, 0.59, 5.15) +TGeoTessellated 1405 Local ( -0.07, 0.61, 5.08) Global ( -0.07, 0.61, 5.08) +TGeoTessellated 1406 Local ( -0.06, 0.55, 5.22) Global ( -0.06, 0.55, 5.22) +TGeoTessellated 1407 Local ( 0.00, 0.56, 5.22) Global ( 0.00, 0.56, 5.22) +TGeoTessellated 1408 Local ( 0.00, 0.59, 5.15) Global ( 0.00, 0.59, 5.15) +TGeoTessellated 1409 Local ( 0.00, 0.62, 5.08) Global ( 0.00, 0.62, 5.08) +TGeoTessellated 1410 Local ( -0.07, 0.62, 5.01) Global ( -0.07, 0.62, 5.01) +TGeoTessellated 1411 Local ( 0.00, 0.63, 5.01) Global ( 0.00, 0.63, 5.01) +TGeoTessellated 1412 Local ( -0.18, 0.46, 5.28) Global ( -0.18, 0.46, 5.28) +TGeoTessellated 1413 Local ( -0.17, 0.41, 5.34) Global ( -0.17, 0.41, 5.34) +TGeoTessellated 1414 Local ( -0.12, 0.44, 5.34) Global ( -0.12, 0.44, 5.34) +TGeoTessellated 1415 Local ( -0.12, 0.49, 5.28) Global ( -0.12, 0.49, 5.28) +TGeoTessellated 1416 Local ( -0.23, 0.42, 5.27) Global ( -0.23, 0.42, 5.27) +TGeoTessellated 1417 Local ( -0.22, 0.38, 5.33) Global ( -0.22, 0.38, 5.33) +TGeoTessellated 1418 Local ( -0.16, 0.36, 5.39) Global ( -0.16, 0.36, 5.39) +TGeoTessellated 1419 Local ( -0.11, 0.39, 5.39) Global ( -0.11, 0.39, 5.39) +TGeoTessellated 1420 Local ( -0.21, 0.33, 5.39) Global ( -0.21, 0.33, 5.39) +TGeoTessellated 1421 Local ( -0.06, 0.40, 5.39) Global ( -0.06, 0.40, 5.39) +TGeoTessellated 1422 Local ( -0.06, 0.46, 5.34) Global ( -0.06, 0.46, 5.34) +TGeoTessellated 1423 Local ( 0.00, 0.41, 5.40) Global ( 0.00, 0.41, 5.40) +TGeoTessellated 1424 Local ( 0.00, 0.47, 5.34) Global ( 0.00, 0.47, 5.34) +TGeoTessellated 1425 Local ( -0.06, 0.51, 5.28) Global ( -0.06, 0.51, 5.28) +TGeoTessellated 1426 Local ( 0.00, 0.52, 5.28) Global ( 0.00, 0.52, 5.28) +TGeoTessellated 1427 Local ( -0.33, 0.33, 4.43) Global ( -0.33, 0.33, 4.43) +TGeoTessellated 1428 Local ( -0.34, 0.33, 4.49) Global ( -0.34, 0.33, 4.49) +TGeoTessellated 1429 Local ( -0.31, 0.37, 4.49) Global ( -0.31, 0.37, 4.49) +TGeoTessellated 1430 Local ( -0.30, 0.37, 4.44) Global ( -0.30, 0.37, 4.44) +TGeoTessellated 1431 Local ( -0.29, 0.36, 4.38) Global ( -0.29, 0.36, 4.38) +TGeoTessellated 1432 Local ( -0.32, 0.33, 4.38) Global ( -0.32, 0.33, 4.38) +TGeoTessellated 1433 Local ( -0.34, 0.29, 4.37) Global ( -0.34, 0.29, 4.37) +TGeoTessellated 1434 Local ( -0.35, 0.29, 4.43) Global ( -0.35, 0.29, 4.43) +TGeoTessellated 1435 Local ( -0.37, 0.29, 4.49) Global ( -0.37, 0.29, 4.49) +TGeoTessellated 1436 Local ( -0.36, 0.34, 4.56) Global ( -0.36, 0.34, 4.56) +TGeoTessellated 1437 Local ( -0.32, 0.38, 4.56) Global ( -0.32, 0.38, 4.56) +TGeoTessellated 1438 Local ( -0.39, 0.29, 4.56) Global ( -0.39, 0.29, 4.56) +TGeoTessellated 1439 Local ( -0.40, 0.29, 4.63) Global ( -0.40, 0.29, 4.63) +TGeoTessellated 1440 Local ( -0.37, 0.34, 4.63) Global ( -0.37, 0.34, 4.63) +TGeoTessellated 1441 Local ( -0.33, 0.39, 4.62) Global ( -0.33, 0.39, 4.62) +TGeoTessellated 1442 Local ( -0.28, 0.43, 4.55) Global ( -0.28, 0.43, 4.55) +TGeoTessellated 1443 Local ( -0.27, 0.41, 4.49) Global ( -0.27, 0.41, 4.49) +TGeoTessellated 1444 Local ( -0.29, 0.44, 4.62) Global ( -0.29, 0.44, 4.62) +TGeoTessellated 1445 Local ( -0.27, 0.40, 4.44) Global ( -0.27, 0.40, 4.44) +TGeoTessellated 1446 Local ( -0.26, 0.39, 4.39) Global ( -0.26, 0.39, 4.39) +TGeoTessellated 1447 Local ( -0.38, 0.34, 4.70) Global ( -0.38, 0.34, 4.70) +TGeoTessellated 1448 Local ( -0.39, 0.35, 4.78) Global ( -0.39, 0.35, 4.78) +TGeoTessellated 1449 Local ( -0.35, 0.41, 4.77) Global ( -0.35, 0.41, 4.77) +TGeoTessellated 1450 Local ( -0.34, 0.40, 4.70) Global ( -0.34, 0.40, 4.70) +TGeoTessellated 1451 Local ( -0.42, 0.29, 4.70) Global ( -0.42, 0.29, 4.70) +TGeoTessellated 1452 Local ( -0.42, 0.28, 4.78) Global ( -0.42, 0.28, 4.78) +TGeoTessellated 1453 Local ( -0.39, 0.34, 4.85) Global ( -0.39, 0.34, 4.85) +TGeoTessellated 1454 Local ( -0.35, 0.41, 4.85) Global ( -0.35, 0.41, 4.85) +TGeoTessellated 1455 Local ( -0.42, 0.28, 4.85) Global ( -0.42, 0.28, 4.85) +TGeoTessellated 1456 Local ( -0.42, 0.28, 4.92) Global ( -0.42, 0.28, 4.92) +TGeoTessellated 1457 Local ( -0.39, 0.34, 4.93) Global ( -0.39, 0.34, 4.93) +TGeoTessellated 1458 Local ( -0.35, 0.41, 4.93) Global ( -0.35, 0.41, 4.93) +TGeoTessellated 1459 Local ( -0.30, 0.47, 4.85) Global ( -0.30, 0.47, 4.85) +TGeoTessellated 1460 Local ( -0.30, 0.47, 4.77) Global ( -0.30, 0.47, 4.77) +TGeoTessellated 1461 Local ( -0.30, 0.47, 4.93) Global ( -0.30, 0.47, 4.93) +TGeoTessellated 1462 Local ( -0.30, 0.46, 4.69) Global ( -0.30, 0.46, 4.69) +TGeoTessellated 1463 Local ( -0.38, 0.33, 5.00) Global ( -0.38, 0.33, 5.00) +TGeoTessellated 1464 Local ( -0.38, 0.32, 5.07) Global ( -0.38, 0.32, 5.07) +TGeoTessellated 1465 Local ( -0.34, 0.39, 5.07) Global ( -0.34, 0.39, 5.07) +TGeoTessellated 1466 Local ( -0.34, 0.40, 5.00) Global ( -0.34, 0.40, 5.00) +TGeoTessellated 1467 Local ( -0.42, 0.27, 4.99) Global ( -0.42, 0.27, 4.99) +TGeoTessellated 1468 Local ( -0.41, 0.26, 5.06) Global ( -0.41, 0.26, 5.06) +TGeoTessellated 1469 Local ( -0.36, 0.31, 5.13) Global ( -0.36, 0.31, 5.13) +TGeoTessellated 1470 Local ( -0.33, 0.37, 5.14) Global ( -0.33, 0.37, 5.14) +TGeoTessellated 1471 Local ( -0.39, 0.25, 5.13) Global ( -0.39, 0.25, 5.13) +TGeoTessellated 1472 Local ( -0.38, 0.24, 5.20) Global ( -0.38, 0.24, 5.20) +TGeoTessellated 1473 Local ( -0.35, 0.29, 5.20) Global ( -0.35, 0.29, 5.20) +TGeoTessellated 1474 Local ( -0.32, 0.35, 5.20) Global ( -0.32, 0.35, 5.20) +TGeoTessellated 1475 Local ( -0.29, 0.43, 5.14) Global ( -0.29, 0.43, 5.14) +TGeoTessellated 1476 Local ( -0.30, 0.45, 5.07) Global ( -0.30, 0.45, 5.07) +TGeoTessellated 1477 Local ( -0.28, 0.41, 5.21) Global ( -0.28, 0.41, 5.21) +TGeoTessellated 1478 Local ( -0.30, 0.47, 5.00) Global ( -0.30, 0.47, 5.00) +TGeoTessellated 1479 Local ( -0.33, 0.28, 5.27) Global ( -0.33, 0.28, 5.27) +TGeoTessellated 1480 Local ( -0.32, 0.26, 5.33) Global ( -0.32, 0.26, 5.33) +TGeoTessellated 1481 Local ( -0.29, 0.30, 5.33) Global ( -0.29, 0.30, 5.33) +TGeoTessellated 1482 Local ( -0.31, 0.33, 5.27) Global ( -0.31, 0.33, 5.27) +TGeoTessellated 1483 Local ( -0.36, 0.23, 5.26) Global ( -0.36, 0.23, 5.26) +TGeoTessellated 1484 Local ( -0.34, 0.21, 5.32) Global ( -0.34, 0.21, 5.32) +TGeoTessellated 1485 Local ( -0.30, 0.24, 5.38) Global ( -0.30, 0.24, 5.38) +TGeoTessellated 1486 Local ( -0.27, 0.27, 5.38) Global ( -0.27, 0.27, 5.38) +TGeoTessellated 1487 Local ( -0.32, 0.20, 5.37) Global ( -0.32, 0.20, 5.37) +TGeoTessellated 1488 Local ( -0.24, 0.30, 5.38) Global ( -0.24, 0.30, 5.38) +TGeoTessellated 1489 Local ( -0.26, 0.34, 5.33) Global ( -0.26, 0.34, 5.33) +TGeoTessellated 1490 Local ( -0.27, 0.38, 5.27) Global ( -0.27, 0.38, 5.27) +TGeoTessellated 1491 Local ( -0.33, -0.04, 4.32) Global ( -0.33, -0.04, 4.32) +TGeoTessellated 1492 Local ( -0.33, -0.07, 4.35) Global ( -0.33, -0.07, 4.35) +TGeoTessellated 1493 Local ( -0.36, -0.01, 4.38) Global ( -0.36, -0.01, 4.38) +TGeoTessellated 1494 Local ( -0.36, 0.01, 4.34) Global ( -0.36, 0.01, 4.34) +TGeoTessellated 1495 Local ( -0.36, 0.03, 4.30) Global ( -0.36, 0.03, 4.30) +TGeoTessellated 1496 Local ( -0.33, -0.01, 4.28) Global ( -0.33, -0.01, 4.28) +TGeoTessellated 1497 Local ( -0.33, -0.10, 4.37) Global ( -0.33, -0.10, 4.37) +TGeoTessellated 1498 Local ( -0.37, -0.04, 4.42) Global ( -0.37, -0.04, 4.42) +TGeoTessellated 1499 Local ( -0.33, -0.12, 4.39) Global ( -0.33, -0.12, 4.39) +TGeoTessellated 1500 Local ( -0.38, -0.06, 4.45) Global ( -0.38, -0.06, 4.45) +TGeoTessellated 1501 Local ( -0.41, 0.02, 4.47) Global ( -0.41, 0.02, 4.47) +TGeoTessellated 1502 Local ( -0.39, 0.04, 4.42) Global ( -0.39, 0.04, 4.42) +TGeoTessellated 1503 Local ( -0.42, 0.00, 4.51) Global ( -0.42, 0.00, 4.51) +TGeoTessellated 1504 Local ( -0.46, 0.07, 4.59) Global ( -0.46, 0.07, 4.59) +TGeoTessellated 1505 Local ( -0.43, 0.08, 4.51) Global ( -0.43, 0.08, 4.51) +TGeoTessellated 1506 Local ( -0.41, 0.09, 4.45) Global ( -0.41, 0.09, 4.45) +TGeoTessellated 1507 Local ( -0.38, 0.05, 4.37) Global ( -0.38, 0.05, 4.37) +TGeoTessellated 1508 Local ( -0.39, 0.10, 4.39) Global ( -0.39, 0.10, 4.39) +TGeoTessellated 1509 Local ( -0.38, 0.11, 4.33) Global ( -0.38, 0.11, 4.33) +TGeoTessellated 1510 Local ( -0.37, 0.07, 4.32) Global ( -0.37, 0.07, 4.32) +TGeoTessellated 1511 Local ( -0.39, 0.15, 4.40) Global ( -0.39, 0.15, 4.40) +TGeoTessellated 1512 Local ( -0.41, 0.14, 4.47) Global ( -0.41, 0.14, 4.47) +TGeoTessellated 1513 Local ( -0.41, 0.19, 4.48) Global ( -0.41, 0.19, 4.48) +TGeoTessellated 1514 Local ( -0.39, 0.20, 4.41) Global ( -0.39, 0.20, 4.41) +TGeoTessellated 1515 Local ( -0.37, 0.21, 4.35) Global ( -0.37, 0.21, 4.35) +TGeoTessellated 1516 Local ( -0.38, 0.16, 4.35) Global ( -0.38, 0.16, 4.35) +TGeoTessellated 1517 Local ( -0.44, 0.14, 4.54) Global ( -0.44, 0.14, 4.54) +TGeoTessellated 1518 Local ( -0.43, 0.19, 4.55) Global ( -0.43, 0.19, 4.55) +TGeoTessellated 1519 Local ( -0.46, 0.13, 4.61) Global ( -0.46, 0.13, 4.61) +TGeoTessellated 1520 Local ( -0.45, 0.18, 4.62) Global ( -0.45, 0.18, 4.62) +TGeoTessellated 1521 Local ( -0.41, 0.24, 4.56) Global ( -0.41, 0.24, 4.56) +TGeoTessellated 1522 Local ( -0.39, 0.24, 4.49) Global ( -0.39, 0.24, 4.49) +TGeoTessellated 1523 Local ( -0.43, 0.24, 4.63) Global ( -0.43, 0.24, 4.63) +TGeoTessellated 1524 Local ( -0.37, 0.25, 4.42) Global ( -0.37, 0.25, 4.42) +TGeoTessellated 1525 Local ( -0.36, 0.25, 4.36) Global ( -0.36, 0.25, 4.36) +TGeoTessellated 1526 Local ( -0.47, 0.13, 4.69) Global ( -0.47, 0.13, 4.69) +TGeoTessellated 1527 Local ( -0.48, 0.13, 4.77) Global ( -0.48, 0.13, 4.77) +TGeoTessellated 1528 Local ( -0.47, 0.18, 4.77) Global ( -0.47, 0.18, 4.77) +TGeoTessellated 1529 Local ( -0.46, 0.18, 4.70) Global ( -0.46, 0.18, 4.70) +TGeoTessellated 1530 Local ( -0.48, 0.08, 4.69) Global ( -0.48, 0.08, 4.69) +TGeoTessellated 1531 Local ( -0.49, 0.09, 4.77) Global ( -0.49, 0.09, 4.77) +TGeoTessellated 1532 Local ( -0.49, 0.12, 4.84) Global ( -0.49, 0.12, 4.84) +TGeoTessellated 1533 Local ( -0.47, 0.17, 4.85) Global ( -0.47, 0.17, 4.85) +TGeoTessellated 1534 Local ( -0.50, 0.09, 4.84) Global ( -0.50, 0.09, 4.84) +TGeoTessellated 1535 Local ( -0.50, 0.08, 4.91) Global ( -0.50, 0.08, 4.91) +TGeoTessellated 1536 Local ( -0.49, 0.12, 4.92) Global ( -0.49, 0.12, 4.92) +TGeoTessellated 1537 Local ( -0.47, 0.16, 4.92) Global ( -0.47, 0.16, 4.92) +TGeoTessellated 1538 Local ( -0.45, 0.22, 4.85) Global ( -0.45, 0.22, 4.85) +TGeoTessellated 1539 Local ( -0.45, 0.23, 4.78) Global ( -0.45, 0.23, 4.78) +TGeoTessellated 1540 Local ( -0.45, 0.22, 4.92) Global ( -0.45, 0.22, 4.92) +TGeoTessellated 1541 Local ( -0.44, 0.23, 4.70) Global ( -0.44, 0.23, 4.70) +TGeoTessellated 1542 Local ( -0.48, 0.11, 4.98) Global ( -0.48, 0.11, 4.98) +TGeoTessellated 1543 Local ( -0.47, 0.11, 5.05) Global ( -0.47, 0.11, 5.05) +TGeoTessellated 1544 Local ( -0.46, 0.15, 5.06) Global ( -0.46, 0.15, 5.06) +TGeoTessellated 1545 Local ( -0.47, 0.16, 4.99) Global ( -0.47, 0.16, 4.99) +TGeoTessellated 1546 Local ( -0.49, 0.07, 4.98) Global ( -0.49, 0.07, 4.98) +TGeoTessellated 1547 Local ( -0.48, 0.07, 5.05) Global ( -0.48, 0.07, 5.05) +TGeoTessellated 1548 Local ( -0.46, 0.10, 5.12) Global ( -0.46, 0.10, 5.12) +TGeoTessellated 1549 Local ( -0.44, 0.14, 5.12) Global ( -0.44, 0.14, 5.12) +TGeoTessellated 1550 Local ( -0.47, 0.06, 5.11) Global ( -0.47, 0.06, 5.11) +TGeoTessellated 1551 Local ( -0.45, 0.05, 5.18) Global ( -0.45, 0.05, 5.18) +TGeoTessellated 1552 Local ( -0.44, 0.09, 5.19) Global ( -0.44, 0.09, 5.19) +TGeoTessellated 1553 Local ( -0.43, 0.14, 5.19) Global ( -0.43, 0.14, 5.19) +TGeoTessellated 1554 Local ( -0.42, 0.19, 5.13) Global ( -0.42, 0.19, 5.13) +TGeoTessellated 1555 Local ( -0.43, 0.20, 5.06) Global ( -0.43, 0.20, 5.06) +TGeoTessellated 1556 Local ( -0.40, 0.19, 5.19) Global ( -0.40, 0.19, 5.19) +TGeoTessellated 1557 Local ( -0.44, 0.21, 4.99) Global ( -0.44, 0.21, 4.99) +TGeoTessellated 1558 Local ( -0.42, 0.09, 5.25) Global ( -0.42, 0.09, 5.25) +TGeoTessellated 1559 Local ( -0.39, 0.08, 5.32) Global ( -0.39, 0.08, 5.32) +TGeoTessellated 1560 Local ( -0.38, 0.12, 5.32) Global ( -0.38, 0.12, 5.32) +TGeoTessellated 1561 Local ( -0.40, 0.13, 5.26) Global ( -0.40, 0.13, 5.26) +TGeoTessellated 1562 Local ( -0.43, 0.05, 5.25) Global ( -0.43, 0.05, 5.25) +TGeoTessellated 1563 Local ( -0.40, 0.04, 5.31) Global ( -0.40, 0.04, 5.31) +TGeoTessellated 1564 Local ( -0.36, 0.08, 5.38) Global ( -0.36, 0.08, 5.38) +TGeoTessellated 1565 Local ( -0.35, 0.12, 5.38) Global ( -0.35, 0.12, 5.38) +TGeoTessellated 1566 Local ( -0.37, 0.03, 5.37) Global ( -0.37, 0.03, 5.37) +TGeoTessellated 1567 Local ( -0.33, 0.16, 5.37) Global ( -0.33, 0.16, 5.37) +TGeoTessellated 1568 Local ( -0.36, 0.17, 5.32) Global ( -0.36, 0.17, 5.32) +TGeoTessellated 1569 Local ( -0.38, 0.18, 5.26) Global ( -0.38, 0.18, 5.26) +TGeoTessellated 1570 Local ( -0.02, -0.53, 4.86) Global ( -0.02, -0.53, 4.86) +TGeoTessellated 1571 Local ( -0.02, -0.52, 4.89) Global ( -0.02, -0.52, 4.89) +TGeoTessellated 1572 Local ( -0.04, -0.50, 4.89) Global ( -0.04, -0.50, 4.89) +TGeoTessellated 1573 Local ( -0.04, -0.51, 4.86) Global ( -0.04, -0.51, 4.86) +TGeoTessellated 1574 Local ( -0.04, -0.53, 4.83) Global ( -0.04, -0.53, 4.83) +TGeoTessellated 1575 Local ( -0.02, -0.55, 4.83) Global ( -0.02, -0.55, 4.83) +TGeoTessellated 1576 Local ( 0.00, -0.55, 4.83) Global ( 0.00, -0.55, 4.83) +TGeoTessellated 1577 Local ( 0.00, -0.54, 4.86) Global ( 0.00, -0.54, 4.86) +TGeoTessellated 1578 Local ( 0.00, -0.52, 4.89) Global ( 0.00, -0.52, 4.89) +TGeoTessellated 1579 Local ( -0.02, -0.51, 4.92) Global ( -0.02, -0.51, 4.92) +TGeoTessellated 1580 Local ( -0.03, -0.49, 4.92) Global ( -0.03, -0.49, 4.92) +TGeoTessellated 1581 Local ( 0.00, -0.51, 4.92) Global ( 0.00, -0.51, 4.92) +TGeoTessellated 1582 Local ( -0.00, -0.50, 4.95) Global ( -0.00, -0.50, 4.95) +TGeoTessellated 1583 Local ( -0.02, -0.50, 4.95) Global ( -0.02, -0.50, 4.95) +TGeoTessellated 1584 Local ( -0.03, -0.49, 4.95) Global ( -0.03, -0.49, 4.95) +TGeoTessellated 1585 Local ( -0.06, -0.47, 4.92) Global ( -0.06, -0.47, 4.92) +TGeoTessellated 1586 Local ( -0.06, -0.48, 4.89) Global ( -0.06, -0.48, 4.89) +TGeoTessellated 1587 Local ( -0.06, -0.47, 4.95) Global ( -0.06, -0.47, 4.95) +TGeoTessellated 1588 Local ( -0.09, -0.45, 4.95) Global ( -0.09, -0.45, 4.95) +TGeoTessellated 1589 Local ( -0.09, -0.45, 4.91) Global ( -0.09, -0.45, 4.91) +TGeoTessellated 1590 Local ( -0.09, -0.45, 4.88) Global ( -0.09, -0.45, 4.88) +TGeoTessellated 1591 Local ( -0.06, -0.49, 4.86) Global ( -0.06, -0.49, 4.86) +TGeoTessellated 1592 Local ( -0.09, -0.46, 4.86) Global ( -0.09, -0.46, 4.86) +TGeoTessellated 1593 Local ( -0.10, -0.47, 4.83) Global ( -0.10, -0.47, 4.83) +TGeoTessellated 1594 Local ( -0.06, -0.50, 4.83) Global ( -0.06, -0.50, 4.83) +TGeoTessellated 1595 Local ( -0.02, -0.49, 4.98) Global ( -0.02, -0.49, 4.98) +TGeoTessellated 1596 Local ( -0.02, -0.49, 5.02) Global ( -0.02, -0.49, 5.02) +TGeoTessellated 1597 Local ( -0.04, -0.49, 5.01) Global ( -0.04, -0.49, 5.01) +TGeoTessellated 1598 Local ( -0.04, -0.49, 4.98) Global ( -0.04, -0.49, 4.98) +TGeoTessellated 1599 Local ( 0.00, -0.50, 4.98) Global ( 0.00, -0.50, 4.98) +TGeoTessellated 1600 Local ( 0.00, -0.50, 5.02) Global ( 0.00, -0.50, 5.02) +TGeoTessellated 1601 Local ( -0.02, -0.50, 5.04) Global ( -0.02, -0.50, 5.04) +TGeoTessellated 1602 Local ( -0.04, -0.49, 5.04) Global ( -0.04, -0.49, 5.04) +TGeoTessellated 1603 Local ( 0.00, -0.50, 5.05) Global ( 0.00, -0.50, 5.05) +TGeoTessellated 1604 Local ( 0.00, -0.50, 5.07) Global ( 0.00, -0.50, 5.07) +TGeoTessellated 1605 Local ( -0.02, -0.50, 5.07) Global ( -0.02, -0.50, 5.07) +TGeoTessellated 1606 Local ( -0.04, -0.49, 5.07) Global ( -0.04, -0.49, 5.07) +TGeoTessellated 1607 Local ( -0.07, -0.47, 5.04) Global ( -0.07, -0.47, 5.04) +TGeoTessellated 1608 Local ( -0.07, -0.47, 5.01) Global ( -0.07, -0.47, 5.01) +TGeoTessellated 1609 Local ( -0.07, -0.48, 5.07) Global ( -0.07, -0.48, 5.07) +TGeoTessellated 1610 Local ( -0.11, -0.45, 5.06) Global ( -0.11, -0.45, 5.06) +TGeoTessellated 1611 Local ( -0.11, -0.45, 5.04) Global ( -0.11, -0.45, 5.04) +TGeoTessellated 1612 Local ( -0.10, -0.45, 5.01) Global ( -0.10, -0.45, 5.01) +TGeoTessellated 1613 Local ( -0.06, -0.47, 4.98) Global ( -0.06, -0.47, 4.98) +TGeoTessellated 1614 Local ( -0.09, -0.45, 4.98) Global ( -0.09, -0.45, 4.98) +TGeoTessellated 1615 Local ( -0.02, -0.50, 5.09) Global ( -0.02, -0.50, 5.09) +TGeoTessellated 1616 Local ( -0.02, -0.50, 5.10) Global ( -0.02, -0.50, 5.10) +TGeoTessellated 1617 Local ( -0.05, -0.50, 5.10) Global ( -0.05, -0.50, 5.10) +TGeoTessellated 1618 Local ( -0.05, -0.50, 5.09) Global ( -0.05, -0.50, 5.09) +TGeoTessellated 1619 Local ( 0.00, -0.50, 5.09) Global ( 0.00, -0.50, 5.09) +TGeoTessellated 1620 Local ( 0.00, -0.50, 5.10) Global ( 0.00, -0.50, 5.10) +TGeoTessellated 1621 Local ( -0.02, -0.50, 5.12) Global ( -0.02, -0.50, 5.12) +TGeoTessellated 1622 Local ( -0.05, -0.50, 5.12) Global ( -0.05, -0.50, 5.12) +TGeoTessellated 1623 Local ( 0.00, -0.50, 5.12) Global ( 0.00, -0.50, 5.12) +TGeoTessellated 1624 Local ( 0.00, -0.49, 5.14) Global ( 0.00, -0.49, 5.14) +TGeoTessellated 1625 Local ( -0.02, -0.49, 5.14) Global ( -0.02, -0.49, 5.14) +TGeoTessellated 1626 Local ( -0.05, -0.49, 5.14) Global ( -0.05, -0.49, 5.14) +TGeoTessellated 1627 Local ( -0.08, -0.48, 5.12) Global ( -0.08, -0.48, 5.12) +TGeoTessellated 1628 Local ( -0.08, -0.48, 5.10) Global ( -0.08, -0.48, 5.10) +TGeoTessellated 1629 Local ( -0.08, -0.48, 5.14) Global ( -0.08, -0.48, 5.14) +TGeoTessellated 1630 Local ( -0.12, -0.46, 5.14) Global ( -0.12, -0.46, 5.14) +TGeoTessellated 1631 Local ( -0.12, -0.46, 5.12) Global ( -0.12, -0.46, 5.12) +TGeoTessellated 1632 Local ( -0.12, -0.46, 5.10) Global ( -0.12, -0.46, 5.10) +TGeoTessellated 1633 Local ( -0.08, -0.48, 5.08) Global ( -0.08, -0.48, 5.08) +TGeoTessellated 1634 Local ( -0.12, -0.46, 5.08) Global ( -0.12, -0.46, 5.08) +TGeoTessellated 1635 Local ( -0.13, -0.42, 4.86) Global ( -0.13, -0.42, 4.86) +TGeoTessellated 1636 Local ( -0.13, -0.42, 4.89) Global ( -0.13, -0.42, 4.89) +TGeoTessellated 1637 Local ( -0.17, -0.39, 4.89) Global ( -0.17, -0.39, 4.89) +TGeoTessellated 1638 Local ( -0.18, -0.39, 4.86) Global ( -0.18, -0.39, 4.86) +TGeoTessellated 1639 Local ( -0.18, -0.39, 4.84) Global ( -0.18, -0.39, 4.84) +TGeoTessellated 1640 Local ( -0.14, -0.43, 4.83) Global ( -0.14, -0.43, 4.83) +TGeoTessellated 1641 Local ( -0.13, -0.42, 4.91) Global ( -0.13, -0.42, 4.91) +TGeoTessellated 1642 Local ( -0.17, -0.38, 4.92) Global ( -0.17, -0.38, 4.92) +TGeoTessellated 1643 Local ( -0.13, -0.42, 4.95) Global ( -0.13, -0.42, 4.95) +TGeoTessellated 1644 Local ( -0.18, -0.38, 4.95) Global ( -0.18, -0.38, 4.95) +TGeoTessellated 1645 Local ( -0.22, -0.35, 4.92) Global ( -0.22, -0.35, 4.92) +TGeoTessellated 1646 Local ( -0.22, -0.35, 4.89) Global ( -0.22, -0.35, 4.89) +TGeoTessellated 1647 Local ( -0.22, -0.35, 4.94) Global ( -0.22, -0.35, 4.94) +TGeoTessellated 1648 Local ( -0.25, -0.33, 4.94) Global ( -0.25, -0.33, 4.94) +TGeoTessellated 1649 Local ( -0.25, -0.33, 4.92) Global ( -0.25, -0.33, 4.92) +TGeoTessellated 1650 Local ( -0.26, -0.33, 4.90) Global ( -0.26, -0.33, 4.90) +TGeoTessellated 1651 Local ( -0.22, -0.36, 4.87) Global ( -0.22, -0.36, 4.87) +TGeoTessellated 1652 Local ( -0.26, -0.33, 4.87) Global ( -0.26, -0.33, 4.87) +TGeoTessellated 1653 Local ( -0.25, -0.34, 4.85) Global ( -0.25, -0.34, 4.85) +TGeoTessellated 1654 Local ( -0.22, -0.36, 4.84) Global ( -0.22, -0.36, 4.84) +TGeoTessellated 1655 Local ( -0.14, -0.41, 4.98) Global ( -0.14, -0.41, 4.98) +TGeoTessellated 1656 Local ( -0.15, -0.41, 5.01) Global ( -0.15, -0.41, 5.01) +TGeoTessellated 1657 Local ( -0.20, -0.38, 5.01) Global ( -0.20, -0.38, 5.01) +TGeoTessellated 1658 Local ( -0.19, -0.38, 4.98) Global ( -0.19, -0.38, 4.98) +TGeoTessellated 1659 Local ( -0.16, -0.41, 5.04) Global ( -0.16, -0.41, 5.04) +TGeoTessellated 1660 Local ( -0.21, -0.37, 5.04) Global ( -0.21, -0.37, 5.04) +TGeoTessellated 1661 Local ( -0.17, -0.42, 5.06) Global ( -0.17, -0.42, 5.06) +TGeoTessellated 1662 Local ( -0.23, -0.37, 5.06) Global ( -0.23, -0.37, 5.06) +TGeoTessellated 1663 Local ( -0.27, -0.32, 5.03) Global ( -0.27, -0.32, 5.03) +TGeoTessellated 1664 Local ( -0.25, -0.34, 5.00) Global ( -0.25, -0.34, 5.00) +TGeoTessellated 1665 Local ( -0.29, -0.32, 5.06) Global ( -0.29, -0.32, 5.06) +TGeoTessellated 1666 Local ( -0.36, -0.25, 5.06) Global ( -0.36, -0.25, 5.06) +TGeoTessellated 1667 Local ( -0.32, -0.28, 5.01) Global ( -0.32, -0.28, 5.01) +TGeoTessellated 1668 Local ( -0.29, -0.31, 4.98) Global ( -0.29, -0.31, 4.98) +TGeoTessellated 1669 Local ( -0.23, -0.35, 4.97) Global ( -0.23, -0.35, 4.97) +TGeoTessellated 1670 Local ( -0.27, -0.32, 4.96) Global ( -0.27, -0.32, 4.96) +TGeoTessellated 1671 Local ( -0.17, -0.42, 5.08) Global ( -0.17, -0.42, 5.08) +TGeoTessellated 1672 Local ( -0.17, -0.43, 5.10) Global ( -0.17, -0.43, 5.10) +TGeoTessellated 1673 Local ( -0.23, -0.38, 5.10) Global ( -0.23, -0.38, 5.10) +TGeoTessellated 1674 Local ( -0.23, -0.38, 5.08) Global ( -0.23, -0.38, 5.08) +TGeoTessellated 1675 Local ( -0.17, -0.43, 5.12) Global ( -0.17, -0.43, 5.12) +TGeoTessellated 1676 Local ( -0.22, -0.39, 5.12) Global ( -0.22, -0.39, 5.12) +TGeoTessellated 1677 Local ( -0.17, -0.43, 5.14) Global ( -0.17, -0.43, 5.14) +TGeoTessellated 1678 Local ( -0.22, -0.39, 5.14) Global ( -0.22, -0.39, 5.14) +TGeoTessellated 1679 Local ( -0.27, -0.35, 5.12) Global ( -0.27, -0.35, 5.12) +TGeoTessellated 1680 Local ( -0.28, -0.34, 5.11) Global ( -0.28, -0.34, 5.11) +TGeoTessellated 1681 Local ( -0.26, -0.36, 5.14) Global ( -0.26, -0.36, 5.14) +TGeoTessellated 1682 Local ( -0.29, -0.34, 5.15) Global ( -0.29, -0.34, 5.15) +TGeoTessellated 1683 Local ( -0.30, -0.32, 5.14) Global ( -0.30, -0.32, 5.14) +TGeoTessellated 1684 Local ( -0.32, -0.30, 5.13) Global ( -0.32, -0.30, 5.13) +TGeoTessellated 1685 Local ( -0.29, -0.32, 5.09) Global ( -0.29, -0.32, 5.09) +TGeoTessellated 1686 Local ( -0.33, -0.28, 5.10) Global ( -0.33, -0.28, 5.10) +TGeoTessellated 1687 Local ( -0.02, -0.48, 5.17) Global ( -0.02, -0.48, 5.17) +TGeoTessellated 1688 Local ( -0.02, -0.46, 5.21) Global ( -0.02, -0.46, 5.21) +TGeoTessellated 1689 Local ( -0.05, -0.46, 5.21) Global ( -0.05, -0.46, 5.21) +TGeoTessellated 1690 Local ( -0.05, -0.48, 5.17) Global ( -0.05, -0.48, 5.17) +TGeoTessellated 1691 Local ( 0.00, -0.48, 5.17) Global ( 0.00, -0.48, 5.17) +TGeoTessellated 1692 Local ( 0.00, -0.46, 5.21) Global ( 0.00, -0.46, 5.21) +TGeoTessellated 1693 Local ( -0.02, -0.44, 5.25) Global ( -0.02, -0.44, 5.25) +TGeoTessellated 1694 Local ( -0.05, -0.44, 5.25) Global ( -0.05, -0.44, 5.25) +TGeoTessellated 1695 Local ( 0.00, -0.44, 5.25) Global ( 0.00, -0.44, 5.25) +TGeoTessellated 1696 Local ( 0.00, -0.41, 5.29) Global ( 0.00, -0.41, 5.29) +TGeoTessellated 1697 Local ( -0.02, -0.41, 5.29) Global ( -0.02, -0.41, 5.29) +TGeoTessellated 1698 Local ( -0.05, -0.41, 5.29) Global ( -0.05, -0.41, 5.29) +TGeoTessellated 1699 Local ( -0.08, -0.43, 5.24) Global ( -0.08, -0.43, 5.24) +TGeoTessellated 1700 Local ( -0.08, -0.45, 5.20) Global ( -0.08, -0.45, 5.20) +TGeoTessellated 1701 Local ( -0.08, -0.40, 5.29) Global ( -0.08, -0.40, 5.29) +TGeoTessellated 1702 Local ( -0.12, -0.39, 5.28) Global ( -0.12, -0.39, 5.28) +TGeoTessellated 1703 Local ( -0.12, -0.42, 5.24) Global ( -0.12, -0.42, 5.24) +TGeoTessellated 1704 Local ( -0.12, -0.44, 5.20) Global ( -0.12, -0.44, 5.20) +TGeoTessellated 1705 Local ( -0.08, -0.47, 5.17) Global ( -0.08, -0.47, 5.17) +TGeoTessellated 1706 Local ( -0.12, -0.45, 5.17) Global ( -0.12, -0.45, 5.17) +TGeoTessellated 1707 Local ( -0.02, -0.38, 5.33) Global ( -0.02, -0.38, 5.33) +TGeoTessellated 1708 Local ( -0.02, -0.34, 5.37) Global ( -0.02, -0.34, 5.37) +TGeoTessellated 1709 Local ( -0.05, -0.34, 5.36) Global ( -0.05, -0.34, 5.36) +TGeoTessellated 1710 Local ( -0.05, -0.38, 5.33) Global ( -0.05, -0.38, 5.33) +TGeoTessellated 1711 Local ( 0.00, -0.38, 5.33) Global ( 0.00, -0.38, 5.33) +TGeoTessellated 1712 Local ( 0.00, -0.34, 5.37) Global ( 0.00, -0.34, 5.37) +TGeoTessellated 1713 Local ( -0.02, -0.30, 5.40) Global ( -0.02, -0.30, 5.40) +TGeoTessellated 1714 Local ( -0.05, -0.30, 5.40) Global ( -0.05, -0.30, 5.40) +TGeoTessellated 1715 Local ( 0.00, -0.30, 5.40) Global ( 0.00, -0.30, 5.40) +TGeoTessellated 1716 Local ( -0.08, -0.29, 5.40) Global ( -0.08, -0.29, 5.40) +TGeoTessellated 1717 Local ( -0.08, -0.34, 5.36) Global ( -0.08, -0.34, 5.36) +TGeoTessellated 1718 Local ( -0.12, -0.28, 5.39) Global ( -0.12, -0.28, 5.39) +TGeoTessellated 1719 Local ( -0.12, -0.33, 5.35) Global ( -0.12, -0.33, 5.35) +TGeoTessellated 1720 Local ( -0.08, -0.37, 5.32) Global ( -0.08, -0.37, 5.32) +TGeoTessellated 1721 Local ( -0.12, -0.36, 5.32) Global ( -0.12, -0.36, 5.32) +TGeoTessellated 1722 Local ( -0.16, -0.42, 5.16) Global ( -0.16, -0.42, 5.16) +TGeoTessellated 1723 Local ( -0.16, -0.41, 5.20) Global ( -0.16, -0.41, 5.20) +TGeoTessellated 1724 Local ( -0.21, -0.38, 5.20) Global ( -0.21, -0.38, 5.20) +TGeoTessellated 1725 Local ( -0.21, -0.39, 5.16) Global ( -0.21, -0.39, 5.16) +TGeoTessellated 1726 Local ( -0.16, -0.40, 5.24) Global ( -0.16, -0.40, 5.24) +TGeoTessellated 1727 Local ( -0.21, -0.37, 5.23) Global ( -0.21, -0.37, 5.23) +TGeoTessellated 1728 Local ( -0.16, -0.37, 5.27) Global ( -0.16, -0.37, 5.27) +TGeoTessellated 1729 Local ( -0.21, -0.35, 5.27) Global ( -0.21, -0.35, 5.27) +TGeoTessellated 1730 Local ( -0.25, -0.34, 5.23) Global ( -0.25, -0.34, 5.23) +TGeoTessellated 1731 Local ( -0.26, -0.35, 5.19) Global ( -0.26, -0.35, 5.19) +TGeoTessellated 1732 Local ( -0.25, -0.33, 5.26) Global ( -0.25, -0.33, 5.26) +TGeoTessellated 1733 Local ( -0.27, -0.31, 5.25) Global ( -0.27, -0.31, 5.25) +TGeoTessellated 1734 Local ( -0.28, -0.31, 5.23) Global ( -0.28, -0.31, 5.23) +TGeoTessellated 1735 Local ( -0.29, -0.32, 5.19) Global ( -0.29, -0.32, 5.19) +TGeoTessellated 1736 Local ( -0.26, -0.36, 5.16) Global ( -0.26, -0.36, 5.16) +TGeoTessellated 1737 Local ( -0.29, -0.33, 5.17) Global ( -0.29, -0.33, 5.17) +TGeoTessellated 1738 Local ( -0.16, -0.34, 5.31) Global ( -0.16, -0.34, 5.31) +TGeoTessellated 1739 Local ( -0.16, -0.31, 5.35) Global ( -0.16, -0.31, 5.35) +TGeoTessellated 1740 Local ( -0.21, -0.29, 5.33) Global ( -0.21, -0.29, 5.33) +TGeoTessellated 1741 Local ( -0.21, -0.32, 5.30) Global ( -0.21, -0.32, 5.30) +TGeoTessellated 1742 Local ( -0.16, -0.27, 5.38) Global ( -0.16, -0.27, 5.38) +TGeoTessellated 1743 Local ( -0.21, -0.25, 5.36) Global ( -0.21, -0.25, 5.36) +TGeoTessellated 1744 Local ( -0.26, -0.23, 5.34) Global ( -0.26, -0.23, 5.34) +TGeoTessellated 1745 Local ( -0.25, -0.27, 5.31) Global ( -0.25, -0.27, 5.31) +TGeoTessellated 1746 Local ( -0.30, -0.22, 5.30) Global ( -0.30, -0.22, 5.30) +TGeoTessellated 1747 Local ( -0.29, -0.26, 5.28) Global ( -0.29, -0.26, 5.28) +TGeoTessellated 1748 Local ( -0.25, -0.30, 5.29) Global ( -0.25, -0.30, 5.29) +TGeoTessellated 1749 Local ( -0.28, -0.29, 5.26) Global ( -0.28, -0.29, 5.26) +TGeoTessellated 1750 Local ( -0.03, -0.46, 4.28) Global ( -0.03, -0.46, 4.28) +TGeoTessellated 1751 Local ( -0.03, -0.47, 4.32) Global ( -0.03, -0.47, 4.32) +TGeoTessellated 1752 Local ( -0.06, -0.46, 4.32) Global ( -0.06, -0.46, 4.32) +TGeoTessellated 1753 Local ( -0.06, -0.45, 4.28) Global ( -0.06, -0.45, 4.28) +TGeoTessellated 1754 Local ( -0.05, -0.45, 4.25) Global ( -0.05, -0.45, 4.25) +TGeoTessellated 1755 Local ( -0.02, -0.46, 4.25) Global ( -0.02, -0.46, 4.25) +TGeoTessellated 1756 Local ( 0.00, -0.46, 4.25) Global ( 0.00, -0.46, 4.25) +TGeoTessellated 1757 Local ( 0.00, -0.47, 4.28) Global ( 0.00, -0.47, 4.28) +TGeoTessellated 1758 Local ( 0.00, -0.47, 4.32) Global ( 0.00, -0.47, 4.32) +TGeoTessellated 1759 Local ( -0.03, -0.47, 4.36) Global ( -0.03, -0.47, 4.36) +TGeoTessellated 1760 Local ( -0.07, -0.46, 4.37) Global ( -0.07, -0.46, 4.37) +TGeoTessellated 1761 Local ( 0.00, -0.48, 4.36) Global ( 0.00, -0.48, 4.36) +TGeoTessellated 1762 Local ( -0.00, -0.48, 4.42) Global ( -0.00, -0.48, 4.42) +TGeoTessellated 1763 Local ( -0.04, -0.48, 4.42) Global ( -0.04, -0.48, 4.42) +TGeoTessellated 1764 Local ( -0.07, -0.47, 4.42) Global ( -0.07, -0.47, 4.42) +TGeoTessellated 1765 Local ( -0.11, -0.45, 4.38) Global ( -0.11, -0.45, 4.38) +TGeoTessellated 1766 Local ( -0.10, -0.44, 4.33) Global ( -0.10, -0.44, 4.33) +TGeoTessellated 1767 Local ( -0.11, -0.45, 4.43) Global ( -0.11, -0.45, 4.43) +TGeoTessellated 1768 Local ( -0.15, -0.43, 4.44) Global ( -0.15, -0.43, 4.44) +TGeoTessellated 1769 Local ( -0.14, -0.42, 4.39) Global ( -0.14, -0.42, 4.39) +TGeoTessellated 1770 Local ( -0.13, -0.42, 4.34) Global ( -0.13, -0.42, 4.34) +TGeoTessellated 1771 Local ( -0.09, -0.44, 4.29) Global ( -0.09, -0.44, 4.29) +TGeoTessellated 1772 Local ( -0.12, -0.41, 4.30) Global ( -0.12, -0.41, 4.30) +TGeoTessellated 1773 Local ( -0.11, -0.41, 4.27) Global ( -0.11, -0.41, 4.27) +TGeoTessellated 1774 Local ( -0.08, -0.43, 4.26) Global ( -0.08, -0.43, 4.26) +TGeoTessellated 1775 Local ( -0.02, -0.58, 4.74) Global ( -0.02, -0.58, 4.74) +TGeoTessellated 1776 Local ( -0.02, -0.57, 4.77) Global ( -0.02, -0.57, 4.77) +TGeoTessellated 1777 Local ( -0.04, -0.56, 4.77) Global ( -0.04, -0.56, 4.77) +TGeoTessellated 1778 Local ( -0.04, -0.56, 4.74) Global ( -0.04, -0.56, 4.74) +TGeoTessellated 1779 Local ( -0.04, -0.57, 4.71) Global ( -0.04, -0.57, 4.71) +TGeoTessellated 1780 Local ( -0.02, -0.58, 4.71) Global ( -0.02, -0.58, 4.71) +TGeoTessellated 1781 Local ( 0.00, -0.59, 4.71) Global ( 0.00, -0.59, 4.71) +TGeoTessellated 1782 Local ( 0.00, -0.59, 4.74) Global ( 0.00, -0.59, 4.74) +TGeoTessellated 1783 Local ( 0.00, -0.58, 4.77) Global ( 0.00, -0.58, 4.77) +TGeoTessellated 1784 Local ( -0.02, -0.56, 4.80) Global ( -0.02, -0.56, 4.80) +TGeoTessellated 1785 Local ( -0.04, -0.54, 4.80) Global ( -0.04, -0.54, 4.80) +TGeoTessellated 1786 Local ( 0.00, -0.57, 4.80) Global ( 0.00, -0.57, 4.80) +TGeoTessellated 1787 Local ( -0.07, -0.51, 4.80) Global ( -0.07, -0.51, 4.80) +TGeoTessellated 1788 Local ( -0.07, -0.53, 4.77) Global ( -0.07, -0.53, 4.77) +TGeoTessellated 1789 Local ( -0.10, -0.48, 4.80) Global ( -0.10, -0.48, 4.80) +TGeoTessellated 1790 Local ( -0.10, -0.49, 4.77) Global ( -0.10, -0.49, 4.77) +TGeoTessellated 1791 Local ( -0.07, -0.54, 4.74) Global ( -0.07, -0.54, 4.74) +TGeoTessellated 1792 Local ( -0.11, -0.50, 4.74) Global ( -0.11, -0.50, 4.74) +TGeoTessellated 1793 Local ( -0.11, -0.51, 4.72) Global ( -0.11, -0.51, 4.72) +TGeoTessellated 1794 Local ( -0.07, -0.54, 4.71) Global ( -0.07, -0.54, 4.71) +TGeoTessellated 1795 Local ( -0.16, -0.38, 4.32) Global ( -0.16, -0.38, 4.32) +TGeoTessellated 1796 Local ( -0.17, -0.39, 4.36) Global ( -0.17, -0.39, 4.36) +TGeoTessellated 1797 Local ( -0.21, -0.35, 4.37) Global ( -0.21, -0.35, 4.37) +TGeoTessellated 1798 Local ( -0.20, -0.34, 4.34) Global ( -0.20, -0.34, 4.34) +TGeoTessellated 1799 Local ( -0.19, -0.33, 4.31) Global ( -0.19, -0.33, 4.31) +TGeoTessellated 1800 Local ( -0.15, -0.37, 4.29) Global ( -0.15, -0.37, 4.29) +TGeoTessellated 1801 Local ( -0.18, -0.40, 4.40) Global ( -0.18, -0.40, 4.40) +TGeoTessellated 1802 Local ( -0.22, -0.36, 4.42) Global ( -0.22, -0.36, 4.42) +TGeoTessellated 1803 Local ( -0.19, -0.40, 4.45) Global ( -0.19, -0.40, 4.45) +TGeoTessellated 1804 Local ( -0.23, -0.37, 4.46) Global ( -0.23, -0.37, 4.46) +TGeoTessellated 1805 Local ( -0.26, -0.33, 4.44) Global ( -0.26, -0.33, 4.44) +TGeoTessellated 1806 Local ( -0.25, -0.31, 4.40) Global ( -0.25, -0.31, 4.40) +TGeoTessellated 1807 Local ( -0.27, -0.34, 4.48) Global ( -0.27, -0.34, 4.48) +TGeoTessellated 1808 Local ( -0.29, -0.31, 4.49) Global ( -0.29, -0.31, 4.49) +TGeoTessellated 1809 Local ( -0.29, -0.30, 4.47) Global ( -0.29, -0.30, 4.47) +TGeoTessellated 1810 Local ( -0.29, -0.28, 4.44) Global ( -0.29, -0.28, 4.44) +TGeoTessellated 1811 Local ( -0.24, -0.30, 4.37) Global ( -0.24, -0.30, 4.37) +TGeoTessellated 1812 Local ( -0.29, -0.26, 4.41) Global ( -0.29, -0.26, 4.41) +TGeoTessellated 1813 Local ( -0.28, -0.24, 4.39) Global ( -0.28, -0.24, 4.39) +TGeoTessellated 1814 Local ( -0.23, -0.29, 4.35) Global ( -0.23, -0.29, 4.35) +TGeoTessellated 1815 Local ( -0.15, -0.46, 4.75) Global ( -0.15, -0.46, 4.75) +TGeoTessellated 1816 Local ( -0.15, -0.45, 4.78) Global ( -0.15, -0.45, 4.78) +TGeoTessellated 1817 Local ( -0.20, -0.40, 4.79) Global ( -0.20, -0.40, 4.79) +TGeoTessellated 1818 Local ( -0.21, -0.40, 4.76) Global ( -0.21, -0.40, 4.76) +TGeoTessellated 1819 Local ( -0.21, -0.41, 4.74) Global ( -0.21, -0.41, 4.74) +TGeoTessellated 1820 Local ( -0.15, -0.46, 4.73) Global ( -0.15, -0.46, 4.73) +TGeoTessellated 1821 Local ( -0.15, -0.44, 4.80) Global ( -0.15, -0.44, 4.80) +TGeoTessellated 1822 Local ( -0.19, -0.39, 4.81) Global ( -0.19, -0.39, 4.81) +TGeoTessellated 1823 Local ( -0.24, -0.35, 4.82) Global ( -0.24, -0.35, 4.82) +TGeoTessellated 1824 Local ( -0.25, -0.35, 4.80) Global ( -0.25, -0.35, 4.80) +TGeoTessellated 1825 Local ( -0.27, -0.33, 4.84) Global ( -0.27, -0.33, 4.84) +TGeoTessellated 1826 Local ( -0.29, -0.31, 4.83) Global ( -0.29, -0.31, 4.83) +TGeoTessellated 1827 Local ( -0.26, -0.35, 4.78) Global ( -0.26, -0.35, 4.78) +TGeoTessellated 1828 Local ( -0.31, -0.30, 4.80) Global ( -0.31, -0.30, 4.80) +TGeoTessellated 1829 Local ( -0.33, -0.28, 4.75) Global ( -0.33, -0.28, 4.75) +TGeoTessellated 1830 Local ( -0.26, -0.35, 4.75) Global ( -0.26, -0.35, 4.75) +TGeoTessellated 1831 Local ( -0.04, -0.49, 4.47) Global ( -0.04, -0.49, 4.47) +TGeoTessellated 1832 Local ( -0.03, -0.50, 4.53) Global ( -0.03, -0.50, 4.53) +TGeoTessellated 1833 Local ( -0.07, -0.49, 4.53) Global ( -0.07, -0.49, 4.53) +TGeoTessellated 1834 Local ( -0.07, -0.48, 4.48) Global ( -0.07, -0.48, 4.48) +TGeoTessellated 1835 Local ( 0.00, -0.49, 4.47) Global ( 0.00, -0.49, 4.47) +TGeoTessellated 1836 Local ( 0.00, -0.50, 4.53) Global ( 0.00, -0.50, 4.53) +TGeoTessellated 1837 Local ( -0.03, -0.51, 4.58) Global ( -0.03, -0.51, 4.58) +TGeoTessellated 1838 Local ( -0.06, -0.50, 4.59) Global ( -0.06, -0.50, 4.59) +TGeoTessellated 1839 Local ( 0.00, -0.51, 4.58) Global ( 0.00, -0.51, 4.58) +TGeoTessellated 1840 Local ( 0.00, -0.53, 4.62) Global ( 0.00, -0.53, 4.62) +TGeoTessellated 1841 Local ( -0.03, -0.52, 4.62) Global ( -0.03, -0.52, 4.62) +TGeoTessellated 1842 Local ( -0.06, -0.51, 4.63) Global ( -0.06, -0.51, 4.63) +TGeoTessellated 1843 Local ( -0.10, -0.48, 4.59) Global ( -0.10, -0.48, 4.59) +TGeoTessellated 1844 Local ( -0.11, -0.47, 4.54) Global ( -0.11, -0.47, 4.54) +TGeoTessellated 1845 Local ( -0.09, -0.49, 4.63) Global ( -0.09, -0.49, 4.63) +TGeoTessellated 1846 Local ( -0.13, -0.46, 4.64) Global ( -0.13, -0.46, 4.64) +TGeoTessellated 1847 Local ( -0.14, -0.45, 4.60) Global ( -0.14, -0.45, 4.60) +TGeoTessellated 1848 Local ( -0.15, -0.44, 4.55) Global ( -0.15, -0.44, 4.55) +TGeoTessellated 1849 Local ( -0.11, -0.46, 4.48) Global ( -0.11, -0.46, 4.48) +TGeoTessellated 1850 Local ( -0.15, -0.44, 4.49) Global ( -0.15, -0.44, 4.49) +TGeoTessellated 1851 Local ( -0.03, -0.54, 4.65) Global ( -0.03, -0.54, 4.65) +TGeoTessellated 1852 Local ( -0.02, -0.56, 4.67) Global ( -0.02, -0.56, 4.67) +TGeoTessellated 1853 Local ( -0.05, -0.55, 4.68) Global ( -0.05, -0.55, 4.68) +TGeoTessellated 1854 Local ( -0.05, -0.53, 4.66) Global ( -0.05, -0.53, 4.66) +TGeoTessellated 1855 Local ( 0.00, -0.54, 4.65) Global ( 0.00, -0.54, 4.65) +TGeoTessellated 1856 Local ( 0.00, -0.56, 4.67) Global ( 0.00, -0.56, 4.67) +TGeoTessellated 1857 Local ( -0.02, -0.57, 4.69) Global ( -0.02, -0.57, 4.69) +TGeoTessellated 1858 Local ( -0.05, -0.56, 4.69) Global ( -0.05, -0.56, 4.69) +TGeoTessellated 1859 Local ( 0.00, -0.58, 4.69) Global ( 0.00, -0.58, 4.69) +TGeoTessellated 1860 Local ( -0.07, -0.54, 4.70) Global ( -0.07, -0.54, 4.70) +TGeoTessellated 1861 Local ( -0.08, -0.53, 4.68) Global ( -0.08, -0.53, 4.68) +TGeoTessellated 1862 Local ( -0.11, -0.51, 4.70) Global ( -0.11, -0.51, 4.70) +TGeoTessellated 1863 Local ( -0.11, -0.50, 4.69) Global ( -0.11, -0.50, 4.69) +TGeoTessellated 1864 Local ( -0.08, -0.51, 4.66) Global ( -0.08, -0.51, 4.66) +TGeoTessellated 1865 Local ( -0.12, -0.48, 4.67) Global ( -0.12, -0.48, 4.67) +TGeoTessellated 1866 Local ( -0.24, -0.37, 4.72) Global ( -0.24, -0.37, 4.72) +TGeoTessellated 1867 Local ( -0.20, -0.41, 4.70) Global ( -0.20, -0.41, 4.70) +TGeoTessellated 1868 Local ( -0.18, -0.43, 4.71) Global ( -0.18, -0.43, 4.71) +TGeoTessellated 1869 Local ( -0.20, -0.42, 4.72) Global ( -0.20, -0.42, 4.72) +TGeoTessellated 1870 Local ( -0.27, -0.34, 4.70) Global ( -0.27, -0.34, 4.70) +TGeoTessellated 1871 Local ( -0.22, -0.39, 4.68) Global ( -0.22, -0.39, 4.68) +TGeoTessellated 1872 Local ( -0.16, -0.45, 4.68) Global ( -0.16, -0.45, 4.68) +TGeoTessellated 1873 Local ( -0.15, -0.46, 4.70) Global ( -0.15, -0.46, 4.70) +TGeoTessellated 1874 Local ( -0.18, -0.43, 4.66) Global ( -0.18, -0.43, 4.66) +TGeoTessellated 1875 Local ( -0.15, -0.47, 4.71) Global ( -0.15, -0.47, 4.71) +TGeoTessellated 1876 Local ( -0.41, 0.42, 4.01) Global ( -0.41, 0.42, 4.01) +TGeoTessellated 1877 Local ( -0.37, 0.39, 4.07) Global ( -0.37, 0.39, 4.07) +TGeoTessellated 1878 Local ( -0.35, 0.42, 4.07) Global ( -0.35, 0.42, 4.07) +TGeoTessellated 1879 Local ( -0.38, 0.45, 4.01) Global ( -0.38, 0.45, 4.01) +TGeoTessellated 1880 Local ( -0.43, 0.38, 4.01) Global ( -0.43, 0.38, 4.01) +TGeoTessellated 1881 Local ( -0.39, 0.35, 4.07) Global ( -0.39, 0.35, 4.07) +TGeoTessellated 1882 Local ( -0.35, 0.37, 4.13) Global ( -0.35, 0.37, 4.13) +TGeoTessellated 1883 Local ( -0.33, 0.40, 4.13) Global ( -0.33, 0.40, 4.13) +TGeoTessellated 1884 Local ( -0.37, 0.33, 4.12) Global ( -0.37, 0.33, 4.12) +TGeoTessellated 1885 Local ( -0.35, 0.32, 4.17) Global ( -0.35, 0.32, 4.17) +TGeoTessellated 1886 Local ( -0.34, 0.36, 4.18) Global ( -0.34, 0.36, 4.18) +TGeoTessellated 1887 Local ( -0.31, 0.39, 4.19) Global ( -0.31, 0.39, 4.19) +TGeoTessellated 1888 Local ( -0.30, 0.43, 4.14) Global ( -0.30, 0.43, 4.14) +TGeoTessellated 1889 Local ( -0.31, 0.45, 4.07) Global ( -0.31, 0.45, 4.07) +TGeoTessellated 1890 Local ( -0.28, 0.41, 4.20) Global ( -0.28, 0.41, 4.20) +TGeoTessellated 1891 Local ( -0.24, 0.43, 4.20) Global ( -0.24, 0.43, 4.20) +TGeoTessellated 1892 Local ( -0.25, 0.45, 4.14) Global ( -0.25, 0.45, 4.14) +TGeoTessellated 1893 Local ( -0.27, 0.47, 4.08) Global ( -0.27, 0.47, 4.08) +TGeoTessellated 1894 Local ( -0.33, 0.48, 4.01) Global ( -0.33, 0.48, 4.01) +TGeoTessellated 1895 Local ( -0.28, 0.50, 4.01) Global ( -0.28, 0.50, 4.01) +TGeoTessellated 1896 Local ( -0.32, 0.35, 4.23) Global ( -0.32, 0.35, 4.23) +TGeoTessellated 1897 Local ( -0.32, 0.34, 4.28) Global ( -0.32, 0.34, 4.28) +TGeoTessellated 1898 Local ( -0.30, 0.37, 4.29) Global ( -0.30, 0.37, 4.29) +TGeoTessellated 1899 Local ( -0.30, 0.38, 4.24) Global ( -0.30, 0.38, 4.24) +TGeoTessellated 1900 Local ( -0.34, 0.31, 4.22) Global ( -0.34, 0.31, 4.22) +TGeoTessellated 1901 Local ( -0.33, 0.30, 4.27) Global ( -0.33, 0.30, 4.27) +TGeoTessellated 1902 Local ( -0.31, 0.33, 4.33) Global ( -0.31, 0.33, 4.33) +TGeoTessellated 1903 Local ( -0.29, 0.36, 4.33) Global ( -0.29, 0.36, 4.33) +TGeoTessellated 1904 Local ( -0.33, 0.30, 4.32) Global ( -0.33, 0.30, 4.32) +TGeoTessellated 1905 Local ( -0.26, 0.39, 4.34) Global ( -0.26, 0.39, 4.34) +TGeoTessellated 1906 Local ( -0.27, 0.39, 4.30) Global ( -0.27, 0.39, 4.30) +TGeoTessellated 1907 Local ( -0.23, 0.41, 4.35) Global ( -0.23, 0.41, 4.35) +TGeoTessellated 1908 Local ( -0.23, 0.42, 4.30) Global ( -0.23, 0.42, 4.30) +TGeoTessellated 1909 Local ( -0.27, 0.40, 4.25) Global ( -0.27, 0.40, 4.25) +TGeoTessellated 1910 Local ( -0.24, 0.42, 4.25) Global ( -0.24, 0.42, 4.25) +TGeoTessellated 1911 Local ( -0.22, 0.50, 4.01) Global ( -0.22, 0.50, 4.01) +TGeoTessellated 1912 Local ( -0.21, 0.48, 4.08) Global ( -0.21, 0.48, 4.08) +TGeoTessellated 1913 Local ( -0.15, 0.48, 4.08) Global ( -0.15, 0.48, 4.08) +TGeoTessellated 1914 Local ( -0.15, 0.50, 4.01) Global ( -0.15, 0.50, 4.01) +TGeoTessellated 1915 Local ( -0.20, 0.46, 4.14) Global ( -0.20, 0.46, 4.14) +TGeoTessellated 1916 Local ( -0.14, 0.46, 4.14) Global ( -0.14, 0.46, 4.14) +TGeoTessellated 1917 Local ( -0.19, 0.44, 4.20) Global ( -0.19, 0.44, 4.20) +TGeoTessellated 1918 Local ( -0.13, 0.45, 4.20) Global ( -0.13, 0.45, 4.20) +TGeoTessellated 1919 Local ( -0.07, 0.46, 4.14) Global ( -0.07, 0.46, 4.14) +TGeoTessellated 1920 Local ( -0.07, 0.48, 4.08) Global ( -0.07, 0.48, 4.08) +TGeoTessellated 1921 Local ( -0.07, 0.45, 4.20) Global ( -0.07, 0.45, 4.20) +TGeoTessellated 1922 Local ( -0.00, 0.45, 4.20) Global ( -0.00, 0.45, 4.20) +TGeoTessellated 1923 Local ( 0.00, 0.46, 4.14) Global ( 0.00, 0.46, 4.14) +TGeoTessellated 1924 Local ( 0.00, 0.48, 4.08) Global ( 0.00, 0.48, 4.08) +TGeoTessellated 1925 Local ( -0.08, 0.50, 4.01) Global ( -0.08, 0.50, 4.01) +TGeoTessellated 1926 Local ( 0.00, 0.50, 4.01) Global ( 0.00, 0.50, 4.01) +TGeoTessellated 1927 Local ( -0.19, 0.44, 4.26) Global ( -0.19, 0.44, 4.26) +TGeoTessellated 1928 Local ( -0.18, 0.43, 4.30) Global ( -0.18, 0.43, 4.30) +TGeoTessellated 1929 Local ( -0.13, 0.44, 4.30) Global ( -0.13, 0.44, 4.30) +TGeoTessellated 1930 Local ( -0.13, 0.44, 4.26) Global ( -0.13, 0.44, 4.26) +TGeoTessellated 1931 Local ( -0.18, 0.43, 4.35) Global ( -0.18, 0.43, 4.35) +TGeoTessellated 1932 Local ( -0.12, 0.45, 4.34) Global ( -0.12, 0.45, 4.34) +TGeoTessellated 1933 Local ( -0.06, 0.45, 4.34) Global ( -0.06, 0.45, 4.34) +TGeoTessellated 1934 Local ( -0.06, 0.45, 4.30) Global ( -0.06, 0.45, 4.30) +TGeoTessellated 1935 Local ( 0.00, 0.46, 4.34) Global ( 0.00, 0.46, 4.34) +TGeoTessellated 1936 Local ( 0.00, 0.45, 4.30) Global ( 0.00, 0.45, 4.30) +TGeoTessellated 1937 Local ( -0.07, 0.45, 4.25) Global ( -0.07, 0.45, 4.25) +TGeoTessellated 1938 Local ( 0.00, 0.45, 4.25) Global ( 0.00, 0.45, 4.25) +TGeoTessellated 1939 Local ( -0.33, -0.11, 3.95) Global ( -0.33, -0.11, 3.95) +TGeoTessellated 1940 Local ( -0.30, -0.10, 4.00) Global ( -0.30, -0.10, 4.00) +TGeoTessellated 1941 Local ( -0.34, -0.08, 4.01) Global ( -0.34, -0.08, 4.01) +TGeoTessellated 1942 Local ( -0.37, -0.09, 3.96) Global ( -0.37, -0.09, 3.96) +TGeoTessellated 1943 Local ( -0.28, -0.12, 3.95) Global ( -0.28, -0.12, 3.95) +TGeoTessellated 1944 Local ( -0.26, -0.11, 4.00) Global ( -0.26, -0.11, 4.00) +TGeoTessellated 1945 Local ( -0.28, -0.10, 4.05) Global ( -0.28, -0.10, 4.05) +TGeoTessellated 1946 Local ( -0.31, -0.08, 4.05) Global ( -0.31, -0.08, 4.05) +TGeoTessellated 1947 Local ( -0.24, -0.11, 4.05) Global ( -0.24, -0.11, 4.05) +TGeoTessellated 1948 Local ( -0.22, -0.12, 4.09) Global ( -0.22, -0.12, 4.09) +TGeoTessellated 1949 Local ( -0.26, -0.10, 4.09) Global ( -0.26, -0.10, 4.09) +TGeoTessellated 1950 Local ( -0.29, -0.08, 4.10) Global ( -0.29, -0.08, 4.10) +TGeoTessellated 1951 Local ( -0.34, -0.05, 4.06) Global ( -0.34, -0.05, 4.06) +TGeoTessellated 1952 Local ( -0.37, -0.05, 4.02) Global ( -0.37, -0.05, 4.02) +TGeoTessellated 1953 Local ( -0.32, -0.05, 4.10) Global ( -0.32, -0.05, 4.10) +TGeoTessellated 1954 Local ( -0.35, -0.02, 4.11) Global ( -0.35, -0.02, 4.11) +TGeoTessellated 1955 Local ( -0.36, -0.02, 4.07) Global ( -0.36, -0.02, 4.07) +TGeoTessellated 1956 Local ( -0.39, -0.02, 4.02) Global ( -0.39, -0.02, 4.02) +TGeoTessellated 1957 Local ( -0.40, -0.06, 3.97) Global ( -0.40, -0.06, 3.97) +TGeoTessellated 1958 Local ( -0.43, -0.02, 3.98) Global ( -0.43, -0.02, 3.98) +TGeoTessellated 1959 Local ( -0.24, -0.10, 4.13) Global ( -0.24, -0.10, 4.13) +TGeoTessellated 1960 Local ( -0.22, -0.11, 4.17) Global ( -0.22, -0.11, 4.17) +TGeoTessellated 1961 Local ( -0.26, -0.08, 4.18) Global ( -0.26, -0.08, 4.18) +TGeoTessellated 1962 Local ( -0.27, -0.08, 4.14) Global ( -0.27, -0.08, 4.14) +TGeoTessellated 1963 Local ( -0.20, -0.12, 4.13) Global ( -0.20, -0.12, 4.13) +TGeoTessellated 1964 Local ( -0.17, -0.13, 4.16) Global ( -0.17, -0.13, 4.16) +TGeoTessellated 1965 Local ( -0.20, -0.12, 4.20) Global ( -0.20, -0.12, 4.20) +TGeoTessellated 1966 Local ( -0.24, -0.10, 4.21) Global ( -0.24, -0.10, 4.21) +TGeoTessellated 1967 Local ( -0.15, -0.14, 4.19) Global ( -0.15, -0.14, 4.19) +TGeoTessellated 1968 Local ( -0.28, -0.07, 4.22) Global ( -0.28, -0.07, 4.22) +TGeoTessellated 1969 Local ( -0.29, -0.06, 4.19) Global ( -0.29, -0.06, 4.19) +TGeoTessellated 1970 Local ( -0.31, -0.04, 4.23) Global ( -0.31, -0.04, 4.23) +TGeoTessellated 1971 Local ( -0.32, -0.03, 4.20) Global ( -0.32, -0.03, 4.20) +TGeoTessellated 1972 Local ( -0.31, -0.06, 4.15) Global ( -0.31, -0.06, 4.15) +TGeoTessellated 1973 Local ( -0.33, -0.03, 4.16) Global ( -0.33, -0.03, 4.16) +TGeoTessellated 1974 Local ( -0.08, -0.14, 3.95) Global ( -0.08, -0.14, 3.95) +TGeoTessellated 1975 Local ( -0.07, -0.13, 4.00) Global ( -0.07, -0.13, 4.00) +TGeoTessellated 1976 Local ( -0.14, -0.13, 4.00) Global ( -0.14, -0.13, 4.00) +TGeoTessellated 1977 Local ( -0.15, -0.14, 3.95) Global ( -0.15, -0.14, 3.95) +TGeoTessellated 1978 Local ( 0.00, -0.14, 3.95) Global ( 0.00, -0.14, 3.95) +TGeoTessellated 1979 Local ( -0.00, -0.13, 4.00) Global ( -0.00, -0.13, 4.00) +TGeoTessellated 1980 Local ( -0.06, -0.13, 4.04) Global ( -0.06, -0.13, 4.04) +TGeoTessellated 1981 Local ( -0.13, -0.13, 4.04) Global ( -0.13, -0.13, 4.04) +TGeoTessellated 1982 Local ( 0.00, -0.13, 4.04) Global ( 0.00, -0.13, 4.04) +TGeoTessellated 1983 Local ( 0.00, -0.13, 4.08) Global ( 0.00, -0.13, 4.08) +TGeoTessellated 1984 Local ( -0.06, -0.13, 4.08) Global ( -0.06, -0.13, 4.08) +TGeoTessellated 1985 Local ( -0.11, -0.13, 4.08) Global ( -0.11, -0.13, 4.08) +TGeoTessellated 1986 Local ( -0.18, -0.12, 4.04) Global ( -0.18, -0.12, 4.04) +TGeoTessellated 1987 Local ( -0.20, -0.12, 4.00) Global ( -0.20, -0.12, 4.00) +TGeoTessellated 1988 Local ( -0.17, -0.13, 4.08) Global ( -0.17, -0.13, 4.08) +TGeoTessellated 1989 Local ( -0.22, -0.13, 3.95) Global ( -0.22, -0.13, 3.95) +TGeoTessellated 1990 Local ( -0.05, -0.14, 4.12) Global ( -0.05, -0.14, 4.12) +TGeoTessellated 1991 Local ( -0.04, -0.15, 4.15) Global ( -0.04, -0.15, 4.15) +TGeoTessellated 1992 Local ( -0.09, -0.15, 4.15) Global ( -0.09, -0.15, 4.15) +TGeoTessellated 1993 Local ( -0.10, -0.14, 4.12) Global ( -0.10, -0.14, 4.12) +TGeoTessellated 1994 Local ( 0.00, -0.14, 4.12) Global ( 0.00, -0.14, 4.12) +TGeoTessellated 1995 Local ( 0.00, -0.16, 4.15) Global ( 0.00, -0.16, 4.15) +TGeoTessellated 1996 Local ( -0.04, -0.17, 4.18) Global ( -0.04, -0.17, 4.18) +TGeoTessellated 1997 Local ( -0.08, -0.17, 4.18) Global ( -0.08, -0.17, 4.18) +TGeoTessellated 1998 Local ( 0.00, -0.18, 4.18) Global ( 0.00, -0.18, 4.18) +TGeoTessellated 1999 Local ( -0.11, -0.16, 4.19) Global ( -0.11, -0.16, 4.19) +TGeoTessellated 2000 Local ( -0.13, -0.14, 4.16) Global ( -0.13, -0.14, 4.16) +TGeoTessellated 2001 Local ( -0.15, -0.13, 4.12) Global ( -0.15, -0.13, 4.12) +TGeoTessellated 2002 Local ( -0.45, 0.02, 3.99) Global ( -0.45, 0.02, 3.99) +TGeoTessellated 2003 Local ( -0.40, 0.02, 4.04) Global ( -0.40, 0.02, 4.04) +TGeoTessellated 2004 Local ( -0.42, 0.06, 4.05) Global ( -0.42, 0.06, 4.05) +TGeoTessellated 2005 Local ( -0.46, 0.06, 4.00) Global ( -0.46, 0.06, 4.00) +TGeoTessellated 2006 Local ( -0.38, 0.01, 4.08) Global ( -0.38, 0.01, 4.08) +TGeoTessellated 2007 Local ( -0.39, 0.06, 4.10) Global ( -0.39, 0.06, 4.10) +TGeoTessellated 2008 Local ( -0.36, 0.01, 4.13) Global ( -0.36, 0.01, 4.13) +TGeoTessellated 2009 Local ( -0.37, 0.05, 4.14) Global ( -0.37, 0.05, 4.14) +TGeoTessellated 2010 Local ( -0.40, 0.10, 4.11) Global ( -0.40, 0.10, 4.11) +TGeoTessellated 2011 Local ( -0.42, 0.11, 4.06) Global ( -0.42, 0.11, 4.06) +TGeoTessellated 2012 Local ( -0.38, 0.09, 4.15) Global ( -0.38, 0.09, 4.15) +TGeoTessellated 2013 Local ( -0.38, 0.14, 4.16) Global ( -0.38, 0.14, 4.16) +TGeoTessellated 2014 Local ( -0.40, 0.15, 4.12) Global ( -0.40, 0.15, 4.12) +TGeoTessellated 2015 Local ( -0.42, 0.16, 4.07) Global ( -0.42, 0.16, 4.07) +TGeoTessellated 2016 Local ( -0.47, 0.12, 4.01) Global ( -0.47, 0.12, 4.01) +TGeoTessellated 2017 Local ( -0.47, 0.17, 4.02) Global ( -0.47, 0.17, 4.02) +TGeoTessellated 2018 Local ( -0.35, 0.01, 4.17) Global ( -0.35, 0.01, 4.17) +TGeoTessellated 2019 Local ( -0.34, 0.01, 4.21) Global ( -0.34, 0.01, 4.21) +TGeoTessellated 2020 Local ( -0.36, 0.04, 4.22) Global ( -0.36, 0.04, 4.22) +TGeoTessellated 2021 Local ( -0.36, 0.05, 4.18) Global ( -0.36, 0.05, 4.18) +TGeoTessellated 2022 Local ( -0.34, -0.00, 4.25) Global ( -0.34, -0.00, 4.25) +TGeoTessellated 2023 Local ( -0.35, 0.04, 4.26) Global ( -0.35, 0.04, 4.26) +TGeoTessellated 2024 Local ( -0.37, 0.08, 4.27) Global ( -0.37, 0.08, 4.27) +TGeoTessellated 2025 Local ( -0.37, 0.08, 4.23) Global ( -0.37, 0.08, 4.23) +TGeoTessellated 2026 Local ( -0.37, 0.12, 4.29) Global ( -0.37, 0.12, 4.29) +TGeoTessellated 2027 Local ( -0.37, 0.13, 4.24) Global ( -0.37, 0.13, 4.24) +TGeoTessellated 2028 Local ( -0.37, 0.09, 4.19) Global ( -0.37, 0.09, 4.19) +TGeoTessellated 2029 Local ( -0.37, 0.13, 4.20) Global ( -0.37, 0.13, 4.20) +TGeoTessellated 2030 Local ( -0.47, 0.22, 4.02) Global ( -0.47, 0.22, 4.02) +TGeoTessellated 2031 Local ( -0.42, 0.21, 4.07) Global ( -0.42, 0.21, 4.07) +TGeoTessellated 2032 Local ( -0.42, 0.26, 4.07) Global ( -0.42, 0.26, 4.07) +TGeoTessellated 2033 Local ( -0.46, 0.28, 4.02) Global ( -0.46, 0.28, 4.02) +TGeoTessellated 2034 Local ( -0.40, 0.20, 4.12) Global ( -0.40, 0.20, 4.12) +TGeoTessellated 2035 Local ( -0.39, 0.24, 4.12) Global ( -0.39, 0.24, 4.12) +TGeoTessellated 2036 Local ( -0.38, 0.19, 4.16) Global ( -0.38, 0.19, 4.16) +TGeoTessellated 2037 Local ( -0.37, 0.23, 4.17) Global ( -0.37, 0.23, 4.17) +TGeoTessellated 2038 Local ( -0.38, 0.29, 4.12) Global ( -0.38, 0.29, 4.12) +TGeoTessellated 2039 Local ( -0.41, 0.31, 4.07) Global ( -0.41, 0.31, 4.07) +TGeoTessellated 2040 Local ( -0.36, 0.28, 4.17) Global ( -0.36, 0.28, 4.17) +TGeoTessellated 2041 Local ( -0.45, 0.33, 4.01) Global ( -0.45, 0.33, 4.01) +TGeoTessellated 2042 Local ( -0.37, 0.18, 4.21) Global ( -0.37, 0.18, 4.21) +TGeoTessellated 2043 Local ( -0.37, 0.17, 4.25) Global ( -0.37, 0.17, 4.25) +TGeoTessellated 2044 Local ( -0.36, 0.22, 4.26) Global ( -0.36, 0.22, 4.26) +TGeoTessellated 2045 Local ( -0.36, 0.22, 4.21) Global ( -0.36, 0.22, 4.21) +TGeoTessellated 2046 Local ( -0.37, 0.17, 4.29) Global ( -0.37, 0.17, 4.29) +TGeoTessellated 2047 Local ( -0.36, 0.21, 4.30) Global ( -0.36, 0.21, 4.30) +TGeoTessellated 2048 Local ( -0.35, 0.26, 4.31) Global ( -0.35, 0.26, 4.31) +TGeoTessellated 2049 Local ( -0.35, 0.26, 4.26) Global ( -0.35, 0.26, 4.26) +TGeoTessellated 2050 Local ( -0.35, 0.27, 4.22) Global ( -0.35, 0.27, 4.22) +TGeoTessellated 2051 Local ( -0.07, -0.41, 4.23) Global ( -0.07, -0.41, 4.23) +TGeoTessellated 2052 Local ( -0.04, -0.43, 4.22) Global ( -0.04, -0.43, 4.22) +TGeoTessellated 2053 Local ( -0.04, -0.44, 4.22) Global ( -0.04, -0.44, 4.22) +TGeoTessellated 2054 Local ( -0.07, -0.42, 4.23) Global ( -0.07, -0.42, 4.23) +TGeoTessellated 2055 Local ( -0.10, -0.40, 4.24) Global ( -0.10, -0.40, 4.24) +TGeoTessellated 2056 Local ( -0.10, -0.38, 4.24) Global ( -0.10, -0.38, 4.24) +TGeoTessellated 2057 Local ( -0.02, -0.44, 4.21) Global ( -0.02, -0.44, 4.21) +TGeoTessellated 2058 Local ( -0.02, -0.45, 4.22) Global ( -0.02, -0.45, 4.22) +TGeoTessellated 2059 Local ( 0.00, -0.44, 4.21) Global ( 0.00, -0.44, 4.21) +TGeoTessellated 2060 Local ( 0.00, -0.45, 4.21) Global ( 0.00, -0.45, 4.21) +TGeoTessellated 2061 Local ( -0.02, -0.46, 4.23) Global ( -0.02, -0.46, 4.23) +TGeoTessellated 2062 Local ( -0.05, -0.45, 4.23) Global ( -0.05, -0.45, 4.23) +TGeoTessellated 2063 Local ( 0.00, -0.46, 4.23) Global ( 0.00, -0.46, 4.23) +TGeoTessellated 2064 Local ( -0.07, -0.43, 4.24) Global ( -0.07, -0.43, 4.24) +TGeoTessellated 2065 Local ( -0.10, -0.40, 4.26) Global ( -0.10, -0.40, 4.26) +TGeoTessellated 2066 Local ( -0.47, -0.01, 4.70) Global ( -0.47, -0.01, 4.70) +TGeoTessellated 2067 Local ( -0.48, -0.00, 4.78) Global ( -0.48, -0.00, 4.78) +TGeoTessellated 2068 Local ( -0.49, 0.03, 4.77) Global ( -0.49, 0.03, 4.77) +TGeoTessellated 2069 Local ( -0.48, 0.02, 4.69) Global ( -0.48, 0.02, 4.69) +TGeoTessellated 2070 Local ( -0.46, -0.00, 4.62) Global ( -0.46, -0.00, 4.62) +TGeoTessellated 2071 Local ( -0.45, -0.03, 4.63) Global ( -0.45, -0.03, 4.63) +TGeoTessellated 2072 Local ( -0.44, -0.06, 4.64) Global ( -0.44, -0.06, 4.64) +TGeoTessellated 2073 Local ( -0.46, -0.05, 4.72) Global ( -0.46, -0.05, 4.72) +TGeoTessellated 2074 Local ( -0.47, -0.04, 4.79) Global ( -0.47, -0.04, 4.79) +TGeoTessellated 2075 Local ( -0.49, -0.01, 4.85) Global ( -0.49, -0.01, 4.85) +TGeoTessellated 2076 Local ( -0.50, 0.02, 4.84) Global ( -0.50, 0.02, 4.84) +TGeoTessellated 2077 Local ( -0.47, -0.04, 4.86) Global ( -0.47, -0.04, 4.86) +TGeoTessellated 2078 Local ( -0.47, -0.04, 4.93) Global ( -0.47, -0.04, 4.93) +TGeoTessellated 2079 Local ( -0.49, -0.01, 4.92) Global ( -0.49, -0.01, 4.92) +TGeoTessellated 2080 Local ( -0.50, 0.02, 4.91) Global ( -0.50, 0.02, 4.91) +TGeoTessellated 2081 Local ( -0.50, 0.05, 4.84) Global ( -0.50, 0.05, 4.84) +TGeoTessellated 2082 Local ( -0.49, 0.05, 4.77) Global ( -0.49, 0.05, 4.77) +TGeoTessellated 2083 Local ( -0.50, 0.05, 4.91) Global ( -0.50, 0.05, 4.91) +TGeoTessellated 2084 Local ( -0.48, 0.05, 4.69) Global ( -0.48, 0.05, 4.69) +TGeoTessellated 2085 Local ( -0.46, 0.03, 4.61) Global ( -0.46, 0.03, 4.61) +TGeoTessellated 2086 Local ( -0.48, -0.02, 4.98) Global ( -0.48, -0.02, 4.98) +TGeoTessellated 2087 Local ( -0.48, -0.02, 5.05) Global ( -0.48, -0.02, 5.05) +TGeoTessellated 2088 Local ( -0.49, 0.01, 5.04) Global ( -0.49, 0.01, 5.04) +TGeoTessellated 2089 Local ( -0.49, 0.01, 4.98) Global ( -0.49, 0.01, 4.98) +TGeoTessellated 2090 Local ( -0.47, -0.05, 5.00) Global ( -0.47, -0.05, 5.00) +TGeoTessellated 2091 Local ( -0.46, -0.05, 5.06) Global ( -0.46, -0.05, 5.06) +TGeoTessellated 2092 Local ( -0.47, -0.03, 5.10) Global ( -0.47, -0.03, 5.10) +TGeoTessellated 2093 Local ( -0.48, -0.00, 5.10) Global ( -0.48, -0.00, 5.10) +TGeoTessellated 2094 Local ( -0.45, -0.05, 5.11) Global ( -0.45, -0.05, 5.11) +TGeoTessellated 2095 Local ( -0.45, -0.05, 5.15) Global ( -0.45, -0.05, 5.15) +TGeoTessellated 2096 Local ( -0.45, -0.03, 5.16) Global ( -0.45, -0.03, 5.16) +TGeoTessellated 2097 Local ( -0.46, -0.01, 5.16) Global ( -0.46, -0.01, 5.16) +TGeoTessellated 2098 Local ( -0.48, 0.03, 5.11) Global ( -0.48, 0.03, 5.11) +TGeoTessellated 2099 Local ( -0.49, 0.04, 5.04) Global ( -0.49, 0.04, 5.04) +TGeoTessellated 2100 Local ( -0.46, 0.02, 5.17) Global ( -0.46, 0.02, 5.17) +TGeoTessellated 2101 Local ( -0.50, 0.04, 4.98) Global ( -0.50, 0.04, 4.98) +TGeoTessellated 2102 Local ( -0.41, -0.07, 4.56) Global ( -0.41, -0.07, 4.56) +TGeoTessellated 2103 Local ( -0.42, -0.04, 4.54) Global ( -0.42, -0.04, 4.54) +TGeoTessellated 2104 Local ( -0.37, -0.10, 4.48) Global ( -0.37, -0.10, 4.48) +TGeoTessellated 2105 Local ( -0.37, -0.12, 4.49) Global ( -0.37, -0.12, 4.49) +TGeoTessellated 2106 Local ( -0.37, -0.14, 4.50) Global ( -0.37, -0.14, 4.50) +TGeoTessellated 2107 Local ( -0.41, -0.10, 4.57) Global ( -0.41, -0.10, 4.57) +TGeoTessellated 2108 Local ( -0.42, -0.02, 4.53) Global ( -0.42, -0.02, 4.53) +TGeoTessellated 2109 Local ( -0.38, -0.08, 4.46) Global ( -0.38, -0.08, 4.46) +TGeoTessellated 2110 Local ( -0.33, -0.14, 4.40) Global ( -0.33, -0.14, 4.40) +TGeoTessellated 2111 Local ( -0.32, -0.16, 4.41) Global ( -0.32, -0.16, 4.41) +TGeoTessellated 2112 Local ( -0.27, -0.20, 4.35) Global ( -0.27, -0.20, 4.35) +TGeoTessellated 2113 Local ( -0.27, -0.21, 4.36) Global ( -0.27, -0.21, 4.36) +TGeoTessellated 2114 Local ( -0.32, -0.17, 4.42) Global ( -0.32, -0.17, 4.42) +TGeoTessellated 2115 Local ( -0.27, -0.23, 4.37) Global ( -0.27, -0.23, 4.37) +TGeoTessellated 2116 Local ( -0.32, -0.19, 4.44) Global ( -0.32, -0.19, 4.44) +TGeoTessellated 2117 Local ( -0.23, -0.26, 4.31) Global ( -0.23, -0.26, 4.31) +TGeoTessellated 2118 Local ( -0.18, -0.31, 4.28) Global ( -0.18, -0.31, 4.28) +TGeoTessellated 2119 Local ( -0.18, -0.32, 4.29) Global ( -0.18, -0.32, 4.29) +TGeoTessellated 2120 Local ( -0.22, -0.27, 4.32) Global ( -0.22, -0.27, 4.32) +TGeoTessellated 2121 Local ( -0.14, -0.35, 4.26) Global ( -0.14, -0.35, 4.26) +TGeoTessellated 2122 Local ( -0.14, -0.36, 4.26) Global ( -0.14, -0.36, 4.26) +TGeoTessellated 2123 Local ( -0.14, -0.37, 4.27) Global ( -0.14, -0.37, 4.27) +TGeoTessellated 2124 Local ( -0.18, -0.33, 4.30) Global ( -0.18, -0.33, 4.30) +TGeoTessellated 2125 Local ( -0.23, -0.28, 4.33) Global ( -0.23, -0.28, 4.33) +TGeoTessellated 2126 Local ( -0.29, -0.31, 4.93) Global ( -0.29, -0.31, 4.93) +TGeoTessellated 2127 Local ( -0.31, -0.29, 4.95) Global ( -0.31, -0.29, 4.95) +TGeoTessellated 2128 Local ( -0.32, -0.28, 4.91) Global ( -0.32, -0.28, 4.91) +TGeoTessellated 2129 Local ( -0.29, -0.30, 4.90) Global ( -0.29, -0.30, 4.90) +TGeoTessellated 2130 Local ( -0.34, -0.26, 4.96) Global ( -0.34, -0.26, 4.96) +TGeoTessellated 2131 Local ( -0.35, -0.26, 4.91) Global ( -0.35, -0.26, 4.91) +TGeoTessellated 2132 Local ( -0.37, -0.23, 4.97) Global ( -0.37, -0.23, 4.97) +TGeoTessellated 2133 Local ( -0.37, -0.23, 4.90) Global ( -0.37, -0.23, 4.90) +TGeoTessellated 2134 Local ( -0.34, -0.27, 4.85) Global ( -0.34, -0.27, 4.85) +TGeoTessellated 2135 Local ( -0.31, -0.29, 4.86) Global ( -0.31, -0.29, 4.86) +TGeoTessellated 2136 Local ( -0.36, -0.24, 4.83) Global ( -0.36, -0.24, 4.83) +TGeoTessellated 2137 Local ( -0.29, -0.31, 4.87) Global ( -0.29, -0.31, 4.87) +TGeoTessellated 2138 Local ( -0.46, -0.08, 4.89) Global ( -0.46, -0.08, 4.89) +TGeoTessellated 2139 Local ( -0.45, -0.08, 4.81) Global ( -0.45, -0.08, 4.81) +TGeoTessellated 2140 Local ( -0.43, -0.13, 4.84) Global ( -0.43, -0.13, 4.84) +TGeoTessellated 2141 Local ( -0.43, -0.13, 4.92) Global ( -0.43, -0.13, 4.92) +TGeoTessellated 2142 Local ( -0.43, -0.13, 4.99) Global ( -0.43, -0.13, 4.99) +TGeoTessellated 2143 Local ( -0.45, -0.08, 4.96) Global ( -0.45, -0.08, 4.96) +TGeoTessellated 2144 Local ( -0.44, -0.09, 4.74) Global ( -0.44, -0.09, 4.74) +TGeoTessellated 2145 Local ( -0.42, -0.14, 4.77) Global ( -0.42, -0.14, 4.77) +TGeoTessellated 2146 Local ( -0.42, -0.11, 4.67) Global ( -0.42, -0.11, 4.67) +TGeoTessellated 2147 Local ( -0.40, -0.15, 4.70) Global ( -0.40, -0.15, 4.70) +TGeoTessellated 2148 Local ( -0.39, -0.19, 4.80) Global ( -0.39, -0.19, 4.80) +TGeoTessellated 2149 Local ( -0.40, -0.18, 4.87) Global ( -0.40, -0.18, 4.87) +TGeoTessellated 2150 Local ( -0.38, -0.21, 4.72) Global ( -0.38, -0.21, 4.72) +TGeoTessellated 2151 Local ( -0.40, -0.18, 4.95) Global ( -0.40, -0.18, 4.95) +TGeoTessellated 2152 Local ( -0.40, -0.18, 5.02) Global ( -0.40, -0.18, 5.02) +TGeoTessellated 2153 Local ( -0.37, -0.01, 5.36) Global ( -0.37, -0.01, 5.36) +TGeoTessellated 2154 Local ( -0.41, -0.00, 5.30) Global ( -0.41, -0.00, 5.30) +TGeoTessellated 2155 Local ( -0.41, -0.04, 5.28) Global ( -0.41, -0.04, 5.28) +TGeoTessellated 2156 Local ( -0.37, -0.06, 5.34) Global ( -0.37, -0.06, 5.34) +TGeoTessellated 2157 Local ( -0.44, 0.01, 5.24) Global ( -0.44, 0.01, 5.24) +TGeoTessellated 2158 Local ( -0.44, -0.02, 5.22) Global ( -0.44, -0.02, 5.22) +TGeoTessellated 2159 Local ( -0.43, -0.05, 5.21) Global ( -0.43, -0.05, 5.21) +TGeoTessellated 2160 Local ( -0.40, -0.07, 5.26) Global ( -0.40, -0.07, 5.26) +TGeoTessellated 2161 Local ( -0.43, -0.07, 5.18) Global ( -0.43, -0.07, 5.18) +TGeoTessellated 2162 Local ( -0.40, -0.09, 5.23) Global ( -0.40, -0.09, 5.23) +TGeoTessellated 2163 Local ( -0.37, -0.09, 5.31) Global ( -0.37, -0.09, 5.31) +TGeoTessellated 2164 Local ( -0.37, -0.13, 5.27) Global ( -0.37, -0.13, 5.27) +TGeoTessellated 2165 Local ( -0.44, -0.08, 5.14) Global ( -0.44, -0.08, 5.14) +TGeoTessellated 2166 Local ( -0.44, -0.08, 5.09) Global ( -0.44, -0.08, 5.09) +TGeoTessellated 2167 Local ( -0.42, -0.12, 5.12) Global ( -0.42, -0.12, 5.12) +TGeoTessellated 2168 Local ( -0.41, -0.11, 5.18) Global ( -0.41, -0.11, 5.18) +TGeoTessellated 2169 Local ( -0.45, -0.08, 5.03) Global ( -0.45, -0.08, 5.03) +TGeoTessellated 2170 Local ( -0.43, -0.13, 5.06) Global ( -0.43, -0.13, 5.06) +TGeoTessellated 2171 Local ( -0.40, -0.17, 5.09) Global ( -0.40, -0.17, 5.09) +TGeoTessellated 2172 Local ( -0.39, -0.16, 5.16) Global ( -0.39, -0.16, 5.16) +TGeoTessellated 2173 Local ( -0.37, -0.22, 5.12) Global ( -0.37, -0.22, 5.12) +TGeoTessellated 2174 Local ( -0.37, -0.20, 5.19) Global ( -0.37, -0.20, 5.19) +TGeoTessellated 2175 Local ( -0.38, -0.15, 5.22) Global ( -0.38, -0.15, 5.22) +TGeoTessellated 2176 Local ( -0.35, -0.18, 5.25) Global ( -0.35, -0.18, 5.25) +TGeoTessellated 2177 Local ( -0.31, -0.29, 5.23) Global ( -0.31, -0.29, 5.23) +TGeoTessellated 2178 Local ( -0.32, -0.26, 5.24) Global ( -0.32, -0.26, 5.24) +TGeoTessellated 2179 Local ( -0.34, -0.26, 5.20) Global ( -0.34, -0.26, 5.20) +TGeoTessellated 2180 Local ( -0.32, -0.29, 5.20) Global ( -0.32, -0.29, 5.20) +TGeoTessellated 2181 Local ( -0.33, -0.22, 5.25) Global ( -0.33, -0.22, 5.25) +TGeoTessellated 2182 Local ( -0.35, -0.23, 5.20) Global ( -0.35, -0.23, 5.20) +TGeoTessellated 2183 Local ( -0.35, -0.25, 5.15) Global ( -0.35, -0.25, 5.15) +TGeoTessellated 2184 Local ( -0.34, -0.28, 5.16) Global ( -0.34, -0.28, 5.16) +TGeoTessellated 2185 Local ( -0.32, -0.30, 5.16) Global ( -0.32, -0.30, 5.16) +TGeoTessellated 2186 Local ( -0.32, -0.27, 4.52) Global ( -0.32, -0.27, 4.52) +TGeoTessellated 2187 Local ( -0.34, -0.25, 4.58) Global ( -0.34, -0.25, 4.58) +TGeoTessellated 2188 Local ( -0.36, -0.21, 4.55) Global ( -0.36, -0.21, 4.55) +TGeoTessellated 2189 Local ( -0.33, -0.24, 4.49) Global ( -0.33, -0.24, 4.49) +TGeoTessellated 2190 Local ( -0.30, -0.30, 4.53) Global ( -0.30, -0.30, 4.53) +TGeoTessellated 2191 Local ( -0.32, -0.29, 4.59) Global ( -0.32, -0.29, 4.59) +TGeoTessellated 2192 Local ( -0.36, -0.23, 4.65) Global ( -0.36, -0.23, 4.65) +TGeoTessellated 2193 Local ( -0.38, -0.18, 4.62) Global ( -0.38, -0.18, 4.62) +TGeoTessellated 2194 Local ( -0.33, -0.28, 4.66) Global ( -0.33, -0.28, 4.66) +TGeoTessellated 2195 Local ( -0.40, -0.13, 4.59) Global ( -0.40, -0.13, 4.59) +TGeoTessellated 2196 Local ( -0.36, -0.17, 4.52) Global ( -0.36, -0.17, 4.52) +TGeoTessellated 2197 Local ( -0.33, -0.21, 4.46) Global ( -0.33, -0.21, 4.46) +TGeoTessellated 2198 Local ( -0.20, -0.41, 4.51) Global ( -0.20, -0.41, 4.51) +TGeoTessellated 2199 Local ( -0.19, -0.41, 4.56) Global ( -0.19, -0.41, 4.56) +TGeoTessellated 2200 Local ( -0.24, -0.37, 4.58) Global ( -0.24, -0.37, 4.58) +TGeoTessellated 2201 Local ( -0.24, -0.37, 4.52) Global ( -0.24, -0.37, 4.52) +TGeoTessellated 2202 Local ( -0.19, -0.42, 4.61) Global ( -0.19, -0.42, 4.61) +TGeoTessellated 2203 Local ( -0.24, -0.38, 4.63) Global ( -0.24, -0.38, 4.63) +TGeoTessellated 2204 Local ( -0.29, -0.33, 4.65) Global ( -0.29, -0.33, 4.65) +TGeoTessellated 2205 Local ( -0.28, -0.33, 4.59) Global ( -0.28, -0.33, 4.59) +TGeoTessellated 2206 Local ( -0.28, -0.34, 4.53) Global ( -0.28, -0.34, 4.53) +TGeoTessellated Bounding box: dx= 1.17 dy= 0.79 dz= 5.36 Origin: x= -1.17 y= 0.04 z= 0.16 diff --git a/examples/DDCAD/ref/Ref_COB_dwarf.txt b/examples/DDCAD/ref/Ref_COB_dwarf.txt new file mode 100644 index 000000000..37441a80a --- /dev/null +++ b/examples/DDCAD/ref/Ref_COB_dwarf.txt @@ -0,0 +1,862 @@ +ShapeCheck[0] TGeoTessellated 859 Mesh-points: +TGeoTessellated CAD_Shape N(mesh)=859 N(vert)=859 N(seg)=4992 N(pols)=1664 +TGeoTessellated 0 Local ( -9.15, -2.99, 53.51) Global ( -9.15, -2.99, 53.51) +TGeoTessellated 1 Local ( -9.23, -6.26, 50.24) Global ( -9.23, -6.26, 50.24) +TGeoTessellated 2 Local ( -4.40, -7.25, 50.42) Global ( -4.40, -7.25, 50.42) +TGeoTessellated 3 Local ( -3.62, -3.57, 53.37) Global ( -3.62, -3.57, 53.37) +TGeoTessellated 4 Local ( -9.15, 1.89, 53.03) Global ( -9.15, 1.89, 53.03) +TGeoTessellated 5 Local ( -4.68, 1.85, 52.61) Global ( -4.68, 1.85, 52.61) +TGeoTessellated 6 Local ( -9.08, 5.43, 48.21) Global ( -9.08, 5.43, 48.21) +TGeoTessellated 7 Local ( -4.68, 5.12, 47.54) Global ( -4.68, 5.12, 47.54) +TGeoTessellated 8 Local ( -9.15, -3.13, 54.29) Global ( -9.15, -3.13, 54.29) +TGeoTessellated 9 Local ( -9.23, -6.63, 50.90) Global ( -9.23, -6.63, 50.90) +TGeoTessellated 10 Local ( -11.71, -5.28, 51.36) Global ( -11.71, -5.28, 51.36) +TGeoTessellated 11 Local ( -14.40, -2.85, 53.28) Global ( -14.40, -2.85, 53.28) +TGeoTessellated 12 Local ( -9.15, 2.38, 53.71) Global ( -9.15, 2.38, 53.71) +TGeoTessellated 13 Local ( -14.60, 2.13, 52.78) Global ( -14.60, 2.13, 52.78) +TGeoTessellated 14 Local ( -9.08, 6.09, 48.58) Global ( -9.08, 6.09, 48.58) +TGeoTessellated 15 Local ( -12.53, 5.27, 50.26) Global ( -12.53, 5.27, 50.26) +TGeoTessellated 16 Local ( -11.73, -4.91, 50.71) Global ( -11.73, -4.91, 50.71) +TGeoTessellated 17 Local ( -3.65, -3.71, 54.16) Global ( -3.65, -3.71, 54.16) +TGeoTessellated 18 Local ( -4.38, -7.62, 51.08) Global ( -4.38, -7.62, 51.08) +TGeoTessellated 19 Local ( -14.38, -2.71, 52.50) Global ( -14.38, -2.71, 52.50) +TGeoTessellated 20 Local ( -4.70, 2.33, 53.29) Global ( -4.70, 2.33, 53.29) +TGeoTessellated 21 Local ( -14.57, 1.64, 52.10) Global ( -14.57, 1.64, 52.10) +TGeoTessellated 22 Local ( -4.65, 5.78, 47.90) Global ( -4.65, 5.78, 47.90) +TGeoTessellated 23 Local ( -12.55, 4.61, 49.90) Global ( -12.55, 4.61, 49.90) +TGeoTessellated 24 Local ( 3.85, -7.25, 50.42) Global ( 3.85, -7.25, 50.42) +TGeoTessellated 25 Local ( 8.68, -6.26, 50.24) Global ( 8.68, -6.26, 50.24) +TGeoTessellated 26 Local ( 8.60, -2.99, 53.51) Global ( 8.60, -2.99, 53.51) +TGeoTessellated 27 Local ( 3.07, -3.57, 53.37) Global ( 3.07, -3.57, 53.37) +TGeoTessellated 28 Local ( 8.60, 1.89, 53.03) Global ( 8.60, 1.89, 53.03) +TGeoTessellated 29 Local ( 4.13, 1.85, 52.61) Global ( 4.13, 1.85, 52.61) +TGeoTessellated 30 Local ( 8.53, 5.43, 48.21) Global ( 8.53, 5.43, 48.21) +TGeoTessellated 31 Local ( 4.13, 5.12, 47.54) Global ( 4.13, 5.12, 47.54) +TGeoTessellated 32 Local ( 11.16, -5.28, 51.36) Global ( 11.16, -5.28, 51.36) +TGeoTessellated 33 Local ( 8.68, -6.63, 50.90) Global ( 8.68, -6.63, 50.90) +TGeoTessellated 34 Local ( 8.60, -3.13, 54.29) Global ( 8.60, -3.13, 54.29) +TGeoTessellated 35 Local ( 13.85, -2.85, 53.28) Global ( 13.85, -2.85, 53.28) +TGeoTessellated 36 Local ( 8.60, 2.38, 53.71) Global ( 8.60, 2.38, 53.71) +TGeoTessellated 37 Local ( 14.05, 2.13, 52.78) Global ( 14.05, 2.13, 52.78) +TGeoTessellated 38 Local ( 8.53, 6.09, 48.58) Global ( 8.53, 6.09, 48.58) +TGeoTessellated 39 Local ( 11.98, 5.27, 50.26) Global ( 11.98, 5.27, 50.26) +TGeoTessellated 40 Local ( 11.18, -4.91, 50.71) Global ( 11.18, -4.91, 50.71) +TGeoTessellated 41 Local ( 3.10, -3.71, 54.16) Global ( 3.10, -3.71, 54.16) +TGeoTessellated 42 Local ( 3.83, -7.62, 51.08) Global ( 3.83, -7.62, 51.08) +TGeoTessellated 43 Local ( 13.83, -2.71, 52.50) Global ( 13.83, -2.71, 52.50) +TGeoTessellated 44 Local ( 4.15, 2.33, 53.29) Global ( 4.15, 2.33, 53.29) +TGeoTessellated 45 Local ( 14.02, 1.65, 52.10) Global ( 14.02, 1.65, 52.10) +TGeoTessellated 46 Local ( 4.10, 5.78, 47.90) Global ( 4.10, 5.78, 47.90) +TGeoTessellated 47 Local ( 12.00, 4.61, 49.90) Global ( 12.00, 4.61, 49.90) +TGeoTessellated 48 Local ( -4.23, 0.30, 58.90) Global ( -4.23, 0.30, 58.90) +TGeoTessellated 49 Local ( -1.71, -1.44, 59.07) Global ( -1.71, -1.44, 59.07) +TGeoTessellated 50 Local ( -1.71, -1.25, 56.34) Global ( -1.71, -1.25, 56.34) +TGeoTessellated 51 Local ( -4.12, 0.50, 56.17) Global ( -4.12, 0.50, 56.17) +TGeoTessellated 52 Local ( -4.60, 1.79, 58.78) Global ( -4.60, 1.79, 58.78) +TGeoTessellated 53 Local ( -4.43, 1.38, 58.17) Global ( -4.43, 1.38, 58.17) +TGeoTessellated 54 Local ( -5.06, 3.59, 57.53) Global ( -5.06, 3.59, 57.53) +TGeoTessellated 55 Local ( -5.18, 3.01, 58.68) Global ( -5.18, 3.01, 58.68) +TGeoTessellated 56 Local ( -2.35, 7.99, 56.49) Global ( -2.35, 7.99, 56.49) +TGeoTessellated 57 Local ( -2.38, 8.15, 57.11) Global ( -2.38, 8.15, 57.11) +TGeoTessellated 58 Local ( -3.43, 7.61, 56.67) Global ( -3.43, 7.61, 56.67) +TGeoTessellated 59 Local ( -1.41, 8.13, 56.72) Global ( -1.41, 8.13, 56.72) +TGeoTessellated 60 Local ( -1.95, 9.17, 57.29) Global ( -1.95, 9.17, 57.29) +TGeoTessellated 61 Local ( -3.29, 8.39, 57.43) Global ( -3.29, 8.39, 57.43) +TGeoTessellated 62 Local ( -0.90, 8.41, 56.75) Global ( -0.90, 8.41, 56.75) +TGeoTessellated 63 Local ( -0.19, 9.06, 56.95) Global ( -0.19, 9.06, 56.95) +TGeoTessellated 64 Local ( -0.19, 9.52, 57.28) Global ( -0.19, 9.52, 57.28) +TGeoTessellated 65 Local ( -0.55, 9.04, 56.73) Global ( -0.55, 9.04, 56.73) +TGeoTessellated 66 Local ( -0.19, 9.83, 55.60) Global ( -0.19, 9.83, 55.60) +TGeoTessellated 67 Local ( -0.70, 9.59, 55.54) Global ( -0.70, 9.59, 55.54) +TGeoTessellated 68 Local ( -4.41, 6.77, 57.26) Global ( -4.41, 6.77, 57.26) +TGeoTessellated 69 Local ( -1.10, 9.20, 55.49) Global ( -1.10, 9.20, 55.49) +TGeoTessellated 70 Local ( -0.19, 9.69, 54.95) Global ( -0.19, 9.69, 54.95) +TGeoTessellated 71 Local ( -0.57, 9.53, 54.94) Global ( -0.57, 9.53, 54.94) +TGeoTessellated 72 Local ( -0.88, 9.05, 54.84) Global ( -0.88, 9.05, 54.84) +TGeoTessellated 73 Local ( -1.41, 9.11, 55.40) Global ( -1.41, 9.11, 55.40) +TGeoTessellated 74 Local ( -1.55, 8.47, 55.64) Global ( -1.55, 8.47, 55.64) +TGeoTessellated 75 Local ( -1.49, 8.44, 54.74) Global ( -1.49, 8.44, 54.74) +TGeoTessellated 76 Local ( -1.24, 8.94, 54.89) Global ( -1.24, 8.94, 54.89) +TGeoTessellated 77 Local ( -1.40, 8.47, 55.73) Global ( -1.40, 8.47, 55.73) +TGeoTessellated 78 Local ( -3.42, 8.26, 58.09) Global ( -3.42, 8.26, 58.09) +TGeoTessellated 79 Local ( -4.61, 6.71, 58.27) Global ( -4.61, 6.71, 58.27) +TGeoTessellated 80 Local ( -1.88, 9.16, 58.04) Global ( -1.88, 9.16, 58.04) +TGeoTessellated 81 Local ( -0.19, 9.59, 58.02) Global ( -0.19, 9.59, 58.02) +TGeoTessellated 82 Local ( -0.19, 8.93, 54.56) Global ( -0.19, 8.93, 54.56) +TGeoTessellated 83 Local ( -1.33, 8.44, 54.67) Global ( -1.33, 8.44, 54.67) +TGeoTessellated 84 Local ( -0.77, 8.44, 54.58) Global ( -0.77, 8.44, 54.58) +TGeoTessellated 85 Local ( -1.56, 7.94, 55.64) Global ( -1.56, 7.94, 55.64) +TGeoTessellated 86 Local ( -1.56, 7.95, 54.70) Global ( -1.56, 7.95, 54.70) +TGeoTessellated 87 Local ( -1.85, 7.99, 54.85) Global ( -1.85, 7.99, 54.85) +TGeoTessellated 88 Local ( -1.87, 7.97, 55.49) Global ( -1.87, 7.97, 55.49) +TGeoTessellated 89 Local ( -2.32, 7.81, 55.68) Global ( -2.32, 7.81, 55.68) +TGeoTessellated 90 Local ( -2.46, 7.60, 54.35) Global ( -2.46, 7.60, 54.35) +TGeoTessellated 91 Local ( -3.36, 7.42, 55.78) Global ( -3.36, 7.42, 55.78) +TGeoTessellated 92 Local ( -3.36, 7.37, 53.88) Global ( -3.36, 7.37, 53.88) +TGeoTessellated 93 Local ( -4.29, 6.10, 55.95) Global ( -4.29, 6.10, 55.95) +TGeoTessellated 94 Local ( -3.98, 5.61, 54.75) Global ( -3.98, 5.61, 54.75) +TGeoTessellated 95 Local ( -4.89, 5.14, 58.48) Global ( -4.89, 5.14, 58.48) +TGeoTessellated 96 Local ( -4.78, 5.02, 57.29) Global ( -4.78, 5.02, 57.29) +TGeoTessellated 97 Local ( -4.61, 5.06, 56.06) Global ( -4.61, 5.06, 56.06) +TGeoTessellated 98 Local ( -1.24, 8.42, 53.38) Global ( -1.24, 8.42, 53.38) +TGeoTessellated 99 Local ( -1.62, 7.78, 53.13) Global ( -1.62, 7.78, 53.13) +TGeoTessellated 100 Local ( -1.48, 7.89, 52.77) Global ( -1.48, 7.89, 52.77) +TGeoTessellated 101 Local ( -1.07, 8.41, 52.78) Global ( -1.07, 8.41, 52.78) +TGeoTessellated 102 Local ( -0.19, 8.94, 53.49) Global ( -0.19, 8.94, 53.49) +TGeoTessellated 103 Local ( -0.19, 8.88, 52.90) Global ( -0.19, 8.88, 52.90) +TGeoTessellated 104 Local ( -0.19, 9.30, 54.42) Global ( -0.19, 9.30, 54.42) +TGeoTessellated 105 Local ( -0.94, 8.90, 54.47) Global ( -0.94, 8.90, 54.47) +TGeoTessellated 106 Local ( -1.31, 8.82, 53.70) Global ( -1.31, 8.82, 53.70) +TGeoTessellated 107 Local ( -0.19, 9.28, 53.78) Global ( -0.19, 9.28, 53.78) +TGeoTessellated 108 Local ( -1.64, 8.42, 54.53) Global ( -1.64, 8.42, 54.53) +TGeoTessellated 109 Local ( -1.86, 8.47, 53.33) Global ( -1.86, 8.47, 53.33) +TGeoTessellated 110 Local ( -2.47, 8.07, 54.16) Global ( -2.47, 8.07, 54.16) +TGeoTessellated 111 Local ( -1.88, 7.33, 52.71) Global ( -1.88, 7.33, 52.71) +TGeoTessellated 112 Local ( -2.99, 8.05, 53.63) Global ( -2.99, 8.05, 53.63) +TGeoTessellated 113 Local ( -2.40, 8.34, 52.71) Global ( -2.40, 8.34, 52.71) +TGeoTessellated 114 Local ( -4.28, 7.39, 52.37) Global ( -4.28, 7.39, 52.37) +TGeoTessellated 115 Local ( -4.59, 6.85, 52.56) Global ( -4.59, 6.85, 52.56) +TGeoTessellated 116 Local ( -3.34, 8.52, 51.47) Global ( -3.34, 8.52, 51.47) +TGeoTessellated 117 Local ( -3.15, 7.70, 51.30) Global ( -3.15, 7.70, 51.30) +TGeoTessellated 118 Local ( -2.82, 8.85, 51.29) Global ( -2.82, 8.85, 51.29) +TGeoTessellated 119 Local ( -1.42, 8.86, 52.30) Global ( -1.42, 8.86, 52.30) +TGeoTessellated 120 Local ( -0.19, 9.37, 52.44) Global ( -0.19, 9.37, 52.44) +TGeoTessellated 121 Local ( -4.25, 9.03, 50.42) Global ( -4.25, 9.03, 50.42) +TGeoTessellated 122 Local ( -0.19, 9.76, 50.29) Global ( -0.19, 9.76, 50.29) +TGeoTessellated 123 Local ( -1.27, 9.89, 50.10) Global ( -1.27, 9.89, 50.10) +TGeoTessellated 124 Local ( -0.19, 6.68, 47.88) Global ( -0.19, 6.68, 47.88) +TGeoTessellated 125 Local ( -0.89, 8.04, 46.44) Global ( -0.89, 8.04, 46.44) +TGeoTessellated 126 Local ( -2.38, 10.49, 49.14) Global ( -2.38, 10.49, 49.14) +TGeoTessellated 127 Local ( -5.14, 4.09, 49.37) Global ( -5.14, 4.09, 49.37) +TGeoTessellated 128 Local ( -5.47, 9.79, 48.09) Global ( -5.47, 9.79, 48.09) +TGeoTessellated 129 Local ( -3.51, 10.67, 46.61) Global ( -3.51, 10.67, 46.61) +TGeoTessellated 130 Local ( -2.22, 8.43, 45.16) Global ( -2.22, 8.43, 45.16) +TGeoTessellated 131 Local ( -5.85, 9.47, 45.65) Global ( -5.85, 9.47, 45.65) +TGeoTessellated 132 Local ( -6.05, 6.07, 46.68) Global ( -6.05, 6.07, 46.68) +TGeoTessellated 133 Local ( -5.81, 8.38, 45.33) Global ( -5.81, 8.38, 45.33) +TGeoTessellated 134 Local ( -4.76, 10.35, 45.19) Global ( -4.76, 10.35, 45.19) +TGeoTessellated 135 Local ( -4.10, 9.38, 44.64) Global ( -4.10, 9.38, 44.64) +TGeoTessellated 136 Local ( -5.07, 2.79, 53.16) Global ( -5.07, 2.79, 53.16) +TGeoTessellated 137 Local ( -5.07, 3.32, 55.52) Global ( -5.07, 3.32, 55.52) +TGeoTessellated 138 Local ( -6.27, 9.64, 44.91) Global ( -6.27, 9.64, 44.91) +TGeoTessellated 139 Local ( -6.22, 8.55, 44.59) Global ( -6.22, 8.55, 44.59) +TGeoTessellated 140 Local ( -5.18, 10.52, 44.46) Global ( -5.18, 10.52, 44.46) +TGeoTessellated 141 Local ( -4.52, 9.55, 43.90) Global ( -4.52, 9.55, 43.90) +TGeoTessellated 142 Local ( -7.74, 9.98, 44.24) Global ( -7.74, 9.98, 44.24) +TGeoTessellated 143 Local ( -7.65, 7.86, 43.62) Global ( -7.65, 7.86, 43.62) +TGeoTessellated 144 Local ( -5.62, 11.69, 43.37) Global ( -5.62, 11.69, 43.37) +TGeoTessellated 145 Local ( -4.35, 9.79, 42.28) Global ( -4.35, 9.79, 42.28) +TGeoTessellated 146 Local ( -7.98, 10.10, 41.21) Global ( -7.98, 10.10, 41.21) +TGeoTessellated 147 Local ( -7.93, 8.81, 40.71) Global ( -7.93, 8.81, 40.71) +TGeoTessellated 148 Local ( -6.70, 11.13, 40.56) Global ( -6.70, 11.13, 40.56) +TGeoTessellated 149 Local ( -5.92, 9.98, 39.90) Global ( -5.92, 9.98, 39.90) +TGeoTessellated 150 Local ( -7.67, 10.72, 37.47) Global ( -7.67, 10.72, 37.47) +TGeoTessellated 151 Local ( -0.19, -1.44, 59.07) Global ( -0.19, -1.44, 59.07) +TGeoTessellated 152 Local ( -0.19, -1.25, 56.34) Global ( -0.19, -1.25, 56.34) +TGeoTessellated 153 Local ( -4.39, 1.37, 56.55) Global ( -4.39, 1.37, 56.55) +TGeoTessellated 154 Local ( -4.42, 1.93, 55.62) Global ( -4.42, 1.93, 55.62) +TGeoTessellated 155 Local ( -0.19, -2.62, 54.14) Global ( -0.19, -2.62, 54.14) +TGeoTessellated 156 Local ( -2.41, -1.68, 53.94) Global ( -2.41, -1.68, 53.94) +TGeoTessellated 157 Local ( -4.09, -0.44, 53.15) Global ( -4.09, -0.44, 53.15) +TGeoTessellated 158 Local ( -4.91, 1.06, 51.46) Global ( -4.91, 1.06, 51.46) +TGeoTessellated 159 Local ( -0.19, -3.60, 51.67) Global ( -0.19, -3.60, 51.67) +TGeoTessellated 160 Local ( -2.53, -2.71, 50.85) Global ( -2.53, -2.71, 50.85) +TGeoTessellated 161 Local ( -4.27, -1.26, 49.86) Global ( -4.27, -1.26, 49.86) +TGeoTessellated 162 Local ( -5.33, 1.06, 48.48) Global ( -5.33, 1.06, 48.48) +TGeoTessellated 163 Local ( -5.33, 3.39, 47.04) Global ( -5.33, 3.39, 47.04) +TGeoTessellated 164 Local ( -0.19, -2.04, 59.31) Global ( -0.19, -2.04, 59.31) +TGeoTessellated 165 Local ( -1.87, -2.04, 59.31) Global ( -1.87, -2.04, 59.31) +TGeoTessellated 166 Local ( -5.01, -0.10, 59.12) Global ( -5.01, -0.10, 59.12) +TGeoTessellated 167 Local ( -5.42, 1.55, 58.98) Global ( -5.42, 1.55, 58.98) +TGeoTessellated 168 Local ( -6.06, 2.91, 58.87) Global ( -6.06, 2.91, 58.87) +TGeoTessellated 169 Local ( -5.74, 5.28, 58.65) Global ( -5.74, 5.28, 58.65) +TGeoTessellated 170 Local ( -5.43, 7.02, 58.41) Global ( -5.43, 7.02, 58.41) +TGeoTessellated 171 Local ( -4.11, 8.74, 58.22) Global ( -4.11, 8.74, 58.22) +TGeoTessellated 172 Local ( -2.06, 9.74, 58.16) Global ( -2.06, 9.74, 58.16) +TGeoTessellated 173 Local ( -0.19, 10.22, 58.13) Global ( -0.19, 10.22, 58.13) +TGeoTessellated 174 Local ( -0.19, -1.94, 60.28) Global ( -0.19, -1.94, 60.28) +TGeoTessellated 175 Local ( -1.86, -1.94, 60.28) Global ( -1.86, -1.94, 60.28) +TGeoTessellated 176 Local ( -5.00, -0.00, 60.09) Global ( -5.00, -0.00, 60.09) +TGeoTessellated 177 Local ( -5.40, 1.64, 59.95) Global ( -5.40, 1.64, 59.95) +TGeoTessellated 178 Local ( -6.04, 2.99, 59.84) Global ( -6.04, 2.99, 59.84) +TGeoTessellated 179 Local ( -5.72, 5.39, 59.62) Global ( -5.72, 5.39, 59.62) +TGeoTessellated 180 Local ( -5.41, 7.13, 59.38) Global ( -5.41, 7.13, 59.38) +TGeoTessellated 181 Local ( -4.12, 8.83, 59.19) Global ( -4.12, 8.83, 59.19) +TGeoTessellated 182 Local ( -2.07, 9.82, 59.13) Global ( -2.07, 9.82, 59.13) +TGeoTessellated 183 Local ( -0.19, 10.30, 59.11) Global ( -0.19, 10.30, 59.11) +TGeoTessellated 184 Local ( -0.19, -1.30, 62.08) Global ( -0.19, -1.30, 62.08) +TGeoTessellated 185 Local ( -2.11, -1.31, 62.08) Global ( -2.11, -1.31, 62.08) +TGeoTessellated 186 Local ( -4.30, 0.46, 61.91) Global ( -4.30, 0.46, 61.91) +TGeoTessellated 187 Local ( -4.62, 1.96, 61.77) Global ( -4.62, 1.96, 61.77) +TGeoTessellated 188 Local ( -5.15, 3.20, 61.65) Global ( -5.15, 3.20, 61.65) +TGeoTessellated 189 Local ( -4.87, 5.44, 61.43) Global ( -4.87, 5.44, 61.43) +TGeoTessellated 190 Local ( -4.62, 7.07, 61.27) Global ( -4.62, 7.07, 61.27) +TGeoTessellated 191 Local ( -3.60, 8.59, 61.13) Global ( -3.60, 8.59, 61.13) +TGeoTessellated 192 Local ( -2.31, 9.48, 61.04) Global ( -2.31, 9.48, 61.04) +TGeoTessellated 193 Local ( -0.19, 9.93, 61.00) Global ( -0.19, 9.93, 61.00) +TGeoTessellated 194 Local ( -0.19, 0.38, 63.52) Global ( -0.19, 0.38, 63.52) +TGeoTessellated 195 Local ( -1.26, 0.38, 63.52) Global ( -1.26, 0.38, 63.52) +TGeoTessellated 196 Local ( -2.92, 1.66, 63.40) Global ( -2.92, 1.66, 63.40) +TGeoTessellated 197 Local ( -3.16, 2.75, 63.29) Global ( -3.16, 2.75, 63.29) +TGeoTessellated 198 Local ( -3.56, 3.66, 63.21) Global ( -3.56, 3.66, 63.21) +TGeoTessellated 199 Local ( -3.35, 5.29, 63.05) Global ( -3.35, 5.29, 63.05) +TGeoTessellated 200 Local ( -3.16, 6.47, 62.93) Global ( -3.16, 6.47, 62.93) +TGeoTessellated 201 Local ( -2.39, 7.58, 62.83) Global ( -2.39, 7.58, 62.83) +TGeoTessellated 202 Local ( -1.41, 8.22, 62.76) Global ( -1.41, 8.22, 62.76) +TGeoTessellated 203 Local ( -0.19, 8.55, 62.73) Global ( -0.19, 8.55, 62.73) +TGeoTessellated 204 Local ( -0.19, 4.78, 64.12) Global ( -0.19, 4.78, 64.12) +TGeoTessellated 205 Local ( 1.34, -1.44, 59.07) Global ( 1.34, -1.44, 59.07) +TGeoTessellated 206 Local ( 3.86, 0.30, 58.90) Global ( 3.86, 0.30, 58.90) +TGeoTessellated 207 Local ( 3.75, 0.50, 56.17) Global ( 3.75, 0.50, 56.17) +TGeoTessellated 208 Local ( 1.34, -1.25, 56.34) Global ( 1.34, -1.25, 56.34) +TGeoTessellated 209 Local ( 4.06, 1.38, 58.17) Global ( 4.06, 1.38, 58.17) +TGeoTessellated 210 Local ( 4.23, 1.79, 58.78) Global ( 4.23, 1.79, 58.78) +TGeoTessellated 211 Local ( 4.81, 3.01, 58.68) Global ( 4.81, 3.01, 58.68) +TGeoTessellated 212 Local ( 4.69, 3.59, 57.53) Global ( 4.69, 3.59, 57.53) +TGeoTessellated 213 Local ( 3.06, 7.61, 56.67) Global ( 3.06, 7.61, 56.67) +TGeoTessellated 214 Local ( 2.01, 8.15, 57.11) Global ( 2.01, 8.15, 57.11) +TGeoTessellated 215 Local ( 1.98, 7.99, 56.49) Global ( 1.98, 7.99, 56.49) +TGeoTessellated 216 Local ( 1.04, 8.13, 56.72) Global ( 1.04, 8.13, 56.72) +TGeoTessellated 217 Local ( 2.92, 8.39, 57.43) Global ( 2.92, 8.39, 57.43) +TGeoTessellated 218 Local ( 1.58, 9.17, 57.29) Global ( 1.58, 9.17, 57.29) +TGeoTessellated 219 Local ( 0.53, 8.41, 56.75) Global ( 0.53, 8.41, 56.75) +TGeoTessellated 220 Local ( 0.18, 9.04, 56.73) Global ( 0.18, 9.04, 56.73) +TGeoTessellated 221 Local ( 0.33, 9.59, 55.54) Global ( 0.33, 9.59, 55.54) +TGeoTessellated 222 Local ( 4.04, 6.77, 57.26) Global ( 4.04, 6.77, 57.26) +TGeoTessellated 223 Local ( 0.73, 9.20, 55.49) Global ( 0.73, 9.20, 55.49) +TGeoTessellated 224 Local ( 0.20, 9.53, 54.94) Global ( 0.20, 9.53, 54.94) +TGeoTessellated 225 Local ( 0.51, 9.05, 54.84) Global ( 0.51, 9.05, 54.84) +TGeoTessellated 226 Local ( 1.18, 8.47, 55.64) Global ( 1.18, 8.47, 55.64) +TGeoTessellated 227 Local ( 1.04, 9.11, 55.40) Global ( 1.04, 9.11, 55.40) +TGeoTessellated 228 Local ( 0.87, 8.94, 54.89) Global ( 0.87, 8.94, 54.89) +TGeoTessellated 229 Local ( 1.12, 8.44, 54.74) Global ( 1.12, 8.44, 54.74) +TGeoTessellated 230 Local ( 1.03, 8.47, 55.73) Global ( 1.03, 8.47, 55.73) +TGeoTessellated 231 Local ( 4.24, 6.71, 58.27) Global ( 4.24, 6.71, 58.27) +TGeoTessellated 232 Local ( 3.05, 8.26, 58.09) Global ( 3.05, 8.26, 58.09) +TGeoTessellated 233 Local ( 1.51, 9.16, 58.04) Global ( 1.51, 9.16, 58.04) +TGeoTessellated 234 Local ( 0.40, 8.44, 54.58) Global ( 0.40, 8.44, 54.58) +TGeoTessellated 235 Local ( 0.96, 8.44, 54.67) Global ( 0.96, 8.44, 54.67) +TGeoTessellated 236 Local ( 1.19, 7.95, 54.70) Global ( 1.19, 7.95, 54.70) +TGeoTessellated 237 Local ( 1.19, 7.94, 55.64) Global ( 1.19, 7.94, 55.64) +TGeoTessellated 238 Local ( 1.50, 7.97, 55.49) Global ( 1.50, 7.97, 55.49) +TGeoTessellated 239 Local ( 1.48, 7.99, 54.85) Global ( 1.48, 7.99, 54.85) +TGeoTessellated 240 Local ( 1.95, 7.81, 55.68) Global ( 1.95, 7.81, 55.68) +TGeoTessellated 241 Local ( 2.09, 7.60, 54.35) Global ( 2.09, 7.60, 54.35) +TGeoTessellated 242 Local ( 2.99, 7.42, 55.78) Global ( 2.99, 7.42, 55.78) +TGeoTessellated 243 Local ( 2.99, 7.37, 53.88) Global ( 2.99, 7.37, 53.88) +TGeoTessellated 244 Local ( 3.92, 6.10, 55.95) Global ( 3.92, 6.10, 55.95) +TGeoTessellated 245 Local ( 3.61, 5.61, 54.75) Global ( 3.61, 5.61, 54.75) +TGeoTessellated 246 Local ( 4.52, 5.14, 58.48) Global ( 4.52, 5.14, 58.48) +TGeoTessellated 247 Local ( 4.41, 5.02, 57.29) Global ( 4.41, 5.02, 57.29) +TGeoTessellated 248 Local ( 4.24, 5.06, 56.06) Global ( 4.24, 5.06, 56.06) +TGeoTessellated 249 Local ( 1.25, 7.78, 53.13) Global ( 1.25, 7.78, 53.13) +TGeoTessellated 250 Local ( 0.87, 8.42, 53.38) Global ( 0.87, 8.42, 53.38) +TGeoTessellated 251 Local ( 0.69, 8.41, 52.78) Global ( 0.69, 8.41, 52.78) +TGeoTessellated 252 Local ( 1.11, 7.89, 52.77) Global ( 1.11, 7.89, 52.77) +TGeoTessellated 253 Local ( 0.57, 8.90, 54.47) Global ( 0.57, 8.90, 54.47) +TGeoTessellated 254 Local ( 0.94, 8.82, 53.70) Global ( 0.94, 8.82, 53.70) +TGeoTessellated 255 Local ( 1.27, 8.42, 54.53) Global ( 1.27, 8.42, 54.53) +TGeoTessellated 256 Local ( 1.49, 8.47, 53.33) Global ( 1.49, 8.47, 53.33) +TGeoTessellated 257 Local ( 2.10, 8.07, 54.16) Global ( 2.10, 8.07, 54.16) +TGeoTessellated 258 Local ( 1.51, 7.33, 52.71) Global ( 1.51, 7.33, 52.71) +TGeoTessellated 259 Local ( 2.03, 8.34, 52.71) Global ( 2.03, 8.34, 52.71) +TGeoTessellated 260 Local ( 2.62, 8.05, 53.63) Global ( 2.62, 8.05, 53.63) +TGeoTessellated 261 Local ( 3.91, 7.39, 52.37) Global ( 3.91, 7.39, 52.37) +TGeoTessellated 262 Local ( 4.22, 6.85, 52.56) Global ( 4.22, 6.85, 52.56) +TGeoTessellated 263 Local ( 2.97, 8.52, 51.47) Global ( 2.97, 8.52, 51.47) +TGeoTessellated 264 Local ( 2.78, 7.70, 51.30) Global ( 2.78, 7.70, 51.30) +TGeoTessellated 265 Local ( 1.05, 8.86, 52.30) Global ( 1.05, 8.86, 52.30) +TGeoTessellated 266 Local ( 2.45, 8.85, 51.29) Global ( 2.45, 8.85, 51.29) +TGeoTessellated 267 Local ( 3.88, 9.03, 50.42) Global ( 3.88, 9.03, 50.42) +TGeoTessellated 268 Local ( 0.90, 9.89, 50.10) Global ( 0.90, 9.89, 50.10) +TGeoTessellated 269 Local ( 0.52, 8.04, 46.44) Global ( 0.52, 8.04, 46.44) +TGeoTessellated 270 Local ( 2.01, 10.49, 49.14) Global ( 2.01, 10.49, 49.14) +TGeoTessellated 271 Local ( 4.77, 4.09, 49.37) Global ( 4.77, 4.09, 49.37) +TGeoTessellated 272 Local ( 5.10, 9.79, 48.09) Global ( 5.10, 9.79, 48.09) +TGeoTessellated 273 Local ( 3.14, 10.67, 46.61) Global ( 3.14, 10.67, 46.61) +TGeoTessellated 274 Local ( 1.85, 8.43, 45.16) Global ( 1.85, 8.43, 45.16) +TGeoTessellated 275 Local ( 5.48, 9.47, 45.65) Global ( 5.48, 9.47, 45.65) +TGeoTessellated 276 Local ( 5.43, 8.38, 45.33) Global ( 5.43, 8.38, 45.33) +TGeoTessellated 277 Local ( 5.68, 6.07, 46.68) Global ( 5.68, 6.07, 46.68) +TGeoTessellated 278 Local ( 4.39, 10.35, 45.19) Global ( 4.39, 10.35, 45.19) +TGeoTessellated 279 Local ( 3.73, 9.38, 44.64) Global ( 3.73, 9.38, 44.64) +TGeoTessellated 280 Local ( 4.70, 2.79, 53.16) Global ( 4.70, 2.79, 53.16) +TGeoTessellated 281 Local ( 4.70, 3.32, 55.52) Global ( 4.70, 3.32, 55.52) +TGeoTessellated 282 Local ( 5.90, 9.64, 44.91) Global ( 5.90, 9.64, 44.91) +TGeoTessellated 283 Local ( 5.85, 8.55, 44.59) Global ( 5.85, 8.55, 44.59) +TGeoTessellated 284 Local ( 4.81, 10.52, 44.46) Global ( 4.81, 10.52, 44.46) +TGeoTessellated 285 Local ( 4.15, 9.55, 43.90) Global ( 4.15, 9.55, 43.90) +TGeoTessellated 286 Local ( 7.37, 9.98, 44.24) Global ( 7.37, 9.98, 44.24) +TGeoTessellated 287 Local ( 7.28, 7.86, 43.62) Global ( 7.28, 7.86, 43.62) +TGeoTessellated 288 Local ( 5.25, 11.69, 43.37) Global ( 5.25, 11.69, 43.37) +TGeoTessellated 289 Local ( 3.97, 9.79, 42.28) Global ( 3.97, 9.79, 42.28) +TGeoTessellated 290 Local ( 7.61, 10.10, 41.21) Global ( 7.61, 10.10, 41.21) +TGeoTessellated 291 Local ( 7.56, 8.81, 40.71) Global ( 7.56, 8.81, 40.71) +TGeoTessellated 292 Local ( 6.33, 11.13, 40.56) Global ( 6.33, 11.13, 40.56) +TGeoTessellated 293 Local ( 5.55, 9.98, 39.90) Global ( 5.55, 9.98, 39.90) +TGeoTessellated 294 Local ( 7.30, 10.72, 37.47) Global ( 7.30, 10.72, 37.47) +TGeoTessellated 295 Local ( 4.05, 1.93, 55.62) Global ( 4.05, 1.93, 55.62) +TGeoTessellated 296 Local ( 4.02, 1.37, 56.55) Global ( 4.02, 1.37, 56.55) +TGeoTessellated 297 Local ( 2.04, -1.68, 53.94) Global ( 2.04, -1.68, 53.94) +TGeoTessellated 298 Local ( 4.54, 1.06, 51.46) Global ( 4.54, 1.06, 51.46) +TGeoTessellated 299 Local ( 3.72, -0.44, 53.15) Global ( 3.72, -0.44, 53.15) +TGeoTessellated 300 Local ( 2.16, -2.71, 50.85) Global ( 2.16, -2.71, 50.85) +TGeoTessellated 301 Local ( 3.90, -1.26, 49.86) Global ( 3.90, -1.26, 49.86) +TGeoTessellated 302 Local ( 4.96, 1.06, 48.48) Global ( 4.96, 1.06, 48.48) +TGeoTessellated 303 Local ( 4.96, 3.39, 47.04) Global ( 4.96, 3.39, 47.04) +TGeoTessellated 304 Local ( 1.50, -2.04, 59.31) Global ( 1.50, -2.04, 59.31) +TGeoTessellated 305 Local ( 4.64, -0.10, 59.12) Global ( 4.64, -0.10, 59.12) +TGeoTessellated 306 Local ( 5.05, 1.55, 58.98) Global ( 5.05, 1.55, 58.98) +TGeoTessellated 307 Local ( 5.69, 2.91, 58.87) Global ( 5.69, 2.91, 58.87) +TGeoTessellated 308 Local ( 5.37, 5.28, 58.65) Global ( 5.37, 5.28, 58.65) +TGeoTessellated 309 Local ( 5.06, 7.02, 58.41) Global ( 5.06, 7.02, 58.41) +TGeoTessellated 310 Local ( 3.74, 8.74, 58.22) Global ( 3.74, 8.74, 58.22) +TGeoTessellated 311 Local ( 1.69, 9.74, 58.16) Global ( 1.69, 9.74, 58.16) +TGeoTessellated 312 Local ( 1.49, -1.94, 60.28) Global ( 1.49, -1.94, 60.28) +TGeoTessellated 313 Local ( 4.63, -0.00, 60.09) Global ( 4.63, -0.00, 60.09) +TGeoTessellated 314 Local ( 5.03, 1.64, 59.95) Global ( 5.03, 1.64, 59.95) +TGeoTessellated 315 Local ( 5.67, 2.99, 59.84) Global ( 5.67, 2.99, 59.84) +TGeoTessellated 316 Local ( 5.35, 5.39, 59.62) Global ( 5.35, 5.39, 59.62) +TGeoTessellated 317 Local ( 5.04, 7.13, 59.38) Global ( 5.04, 7.13, 59.38) +TGeoTessellated 318 Local ( 3.75, 8.83, 59.19) Global ( 3.75, 8.83, 59.19) +TGeoTessellated 319 Local ( 1.70, 9.82, 59.13) Global ( 1.70, 9.82, 59.13) +TGeoTessellated 320 Local ( 1.74, -1.31, 62.08) Global ( 1.74, -1.31, 62.08) +TGeoTessellated 321 Local ( 3.93, 0.46, 61.91) Global ( 3.93, 0.46, 61.91) +TGeoTessellated 322 Local ( 4.25, 1.96, 61.77) Global ( 4.25, 1.96, 61.77) +TGeoTessellated 323 Local ( 4.78, 3.20, 61.65) Global ( 4.78, 3.20, 61.65) +TGeoTessellated 324 Local ( 4.50, 5.44, 61.43) Global ( 4.50, 5.44, 61.43) +TGeoTessellated 325 Local ( 4.25, 7.07, 61.27) Global ( 4.25, 7.07, 61.27) +TGeoTessellated 326 Local ( 3.22, 8.59, 61.13) Global ( 3.22, 8.59, 61.13) +TGeoTessellated 327 Local ( 1.93, 9.48, 61.04) Global ( 1.93, 9.48, 61.04) +TGeoTessellated 328 Local ( 0.89, 0.38, 63.52) Global ( 0.89, 0.38, 63.52) +TGeoTessellated 329 Local ( 2.55, 1.66, 63.40) Global ( 2.55, 1.66, 63.40) +TGeoTessellated 330 Local ( 2.79, 2.75, 63.29) Global ( 2.79, 2.75, 63.29) +TGeoTessellated 331 Local ( 3.19, 3.66, 63.21) Global ( 3.19, 3.66, 63.21) +TGeoTessellated 332 Local ( 2.98, 5.29, 63.05) Global ( 2.98, 5.29, 63.05) +TGeoTessellated 333 Local ( 2.79, 6.47, 62.93) Global ( 2.79, 6.47, 62.93) +TGeoTessellated 334 Local ( 2.02, 7.58, 62.83) Global ( 2.02, 7.58, 62.83) +TGeoTessellated 335 Local ( 1.04, 8.22, 62.76) Global ( 1.04, 8.22, 62.76) +TGeoTessellated 336 Local ( 0.20, 3.73, 64.88) Global ( 0.20, 3.73, 64.88) +TGeoTessellated 337 Local ( 0.63, 4.46, 64.81) Global ( 0.63, 4.46, 64.81) +TGeoTessellated 338 Local ( 0.03, 4.36, 63.69) Global ( 0.03, 4.36, 63.69) +TGeoTessellated 339 Local ( -0.10, 4.14, 63.71) Global ( -0.10, 4.14, 63.71) +TGeoTessellated 340 Local ( -0.22, 4.72, 67.30) Global ( -0.22, 4.72, 67.30) +TGeoTessellated 341 Local ( -0.65, 3.73, 64.88) Global ( -0.65, 3.73, 64.88) +TGeoTessellated 342 Local ( -0.35, 4.14, 63.71) Global ( -0.35, 4.14, 63.71) +TGeoTessellated 343 Local ( -1.07, 4.46, 64.81) Global ( -1.07, 4.46, 64.81) +TGeoTessellated 344 Local ( -0.47, 4.36, 63.69) Global ( -0.47, 4.36, 63.69) +TGeoTessellated 345 Local ( -0.65, 5.20, 64.74) Global ( -0.65, 5.20, 64.74) +TGeoTessellated 346 Local ( -0.35, 4.57, 63.67) Global ( -0.35, 4.57, 63.67) +TGeoTessellated 347 Local ( 0.20, 5.20, 64.74) Global ( 0.20, 5.20, 64.74) +TGeoTessellated 348 Local ( -0.10, 4.57, 63.67) Global ( -0.10, 4.57, 63.67) +TGeoTessellated 349 Local ( -7.31, 3.37, 63.31) Global ( -7.31, 3.37, 63.31) +TGeoTessellated 350 Local ( -7.04, 5.17, 63.33) Global ( -7.04, 5.17, 63.33) +TGeoTessellated 351 Local ( -2.74, 4.83, 62.63) Global ( -2.74, 4.83, 62.63) +TGeoTessellated 352 Local ( -2.81, 3.01, 62.57) Global ( -2.81, 3.01, 62.57) +TGeoTessellated 353 Local ( -7.85, 2.66, 61.86) Global ( -7.85, 2.66, 61.86) +TGeoTessellated 354 Local ( -2.69, 2.08, 60.62) Global ( -2.69, 2.08, 60.62) +TGeoTessellated 355 Local ( -8.12, 3.77, 60.43) Global ( -8.12, 3.77, 60.43) +TGeoTessellated 356 Local ( -2.76, 3.16, 59.16) Global ( -2.76, 3.16, 59.16) +TGeoTessellated 357 Local ( -7.85, 5.58, 60.45) Global ( -7.85, 5.58, 60.45) +TGeoTessellated 358 Local ( -2.69, 4.98, 59.22) Global ( -2.69, 4.98, 59.22) +TGeoTessellated 359 Local ( -7.31, 6.28, 61.90) Global ( -7.31, 6.28, 61.90) +TGeoTessellated 360 Local ( -2.81, 5.92, 61.16) Global ( -2.81, 5.92, 61.16) +TGeoTessellated 361 Local ( -9.17, 5.44, 63.88) Global ( -9.17, 5.44, 63.88) +TGeoTessellated 362 Local ( -9.62, 4.49, 64.11) Global ( -9.62, 4.49, 64.11) +TGeoTessellated 363 Local ( -10.52, 4.31, 63.72) Global ( -10.52, 4.31, 63.72) +TGeoTessellated 364 Local ( -10.97, 5.07, 63.11) Global ( -10.97, 5.07, 63.11) +TGeoTessellated 365 Local ( -10.52, 6.02, 62.89) Global ( -10.52, 6.02, 62.89) +TGeoTessellated 366 Local ( -9.62, 6.20, 63.28) Global ( -9.62, 6.20, 63.28) +TGeoTessellated 367 Local ( -10.86, 6.45, 66.54) Global ( -10.86, 6.45, 66.54) +TGeoTessellated 368 Local ( -11.11, 5.99, 66.72) Global ( -11.11, 5.99, 66.72) +TGeoTessellated 369 Local ( -11.62, 5.96, 66.66) Global ( -11.62, 5.96, 66.66) +TGeoTessellated 370 Local ( -11.88, 6.39, 66.42) Global ( -11.88, 6.39, 66.42) +TGeoTessellated 371 Local ( -11.62, 6.84, 66.23) Global ( -11.62, 6.84, 66.23) +TGeoTessellated 372 Local ( -11.11, 6.87, 66.29) Global ( -11.11, 6.87, 66.29) +TGeoTessellated 373 Local ( -10.76, 8.08, 70.19) Global ( -10.76, 8.08, 70.19) +TGeoTessellated 374 Local ( 2.19, 4.83, 62.63) Global ( 2.19, 4.83, 62.63) +TGeoTessellated 375 Local ( 6.49, 5.17, 63.33) Global ( 6.49, 5.17, 63.33) +TGeoTessellated 376 Local ( 6.76, 3.37, 63.31) Global ( 6.76, 3.37, 63.31) +TGeoTessellated 377 Local ( 2.26, 3.01, 62.57) Global ( 2.26, 3.01, 62.57) +TGeoTessellated 378 Local ( 7.30, 2.66, 61.86) Global ( 7.30, 2.66, 61.86) +TGeoTessellated 379 Local ( 2.14, 2.08, 60.62) Global ( 2.14, 2.08, 60.62) +TGeoTessellated 380 Local ( 7.57, 3.77, 60.43) Global ( 7.57, 3.77, 60.43) +TGeoTessellated 381 Local ( 2.21, 3.16, 59.16) Global ( 2.21, 3.16, 59.16) +TGeoTessellated 382 Local ( 7.30, 5.58, 60.45) Global ( 7.30, 5.58, 60.45) +TGeoTessellated 383 Local ( 2.14, 4.98, 59.22) Global ( 2.14, 4.98, 59.22) +TGeoTessellated 384 Local ( 6.76, 6.28, 61.90) Global ( 6.76, 6.28, 61.90) +TGeoTessellated 385 Local ( 2.26, 5.92, 61.16) Global ( 2.26, 5.92, 61.16) +TGeoTessellated 386 Local ( 8.62, 5.44, 63.88) Global ( 8.62, 5.44, 63.88) +TGeoTessellated 387 Local ( 9.07, 4.49, 64.11) Global ( 9.07, 4.49, 64.11) +TGeoTessellated 388 Local ( 9.97, 4.31, 63.72) Global ( 9.97, 4.31, 63.72) +TGeoTessellated 389 Local ( 10.42, 5.07, 63.11) Global ( 10.42, 5.07, 63.11) +TGeoTessellated 390 Local ( 9.97, 6.02, 62.89) Global ( 9.97, 6.02, 62.89) +TGeoTessellated 391 Local ( 9.07, 6.20, 63.28) Global ( 9.07, 6.20, 63.28) +TGeoTessellated 392 Local ( 10.31, 6.45, 66.54) Global ( 10.31, 6.45, 66.54) +TGeoTessellated 393 Local ( 10.56, 5.99, 66.72) Global ( 10.56, 5.99, 66.72) +TGeoTessellated 394 Local ( 11.07, 5.96, 66.66) Global ( 11.07, 5.96, 66.66) +TGeoTessellated 395 Local ( 11.33, 6.39, 66.42) Global ( 11.33, 6.39, 66.42) +TGeoTessellated 396 Local ( 11.07, 6.84, 66.23) Global ( 11.07, 6.84, 66.23) +TGeoTessellated 397 Local ( 10.56, 6.87, 66.29) Global ( 10.56, 6.87, 66.29) +TGeoTessellated 398 Local ( 10.21, 8.08, 70.19) Global ( 10.21, 8.08, 70.19) +TGeoTessellated 399 Local ( -9.27, -5.81, 43.71) Global ( -9.27, -5.81, 43.71) +TGeoTessellated 400 Local ( -3.26, -9.93, 44.89) Global ( -3.26, -9.93, 44.89) +TGeoTessellated 401 Local ( -3.72, -10.31, 37.12) Global ( -3.72, -10.31, 37.12) +TGeoTessellated 402 Local ( -8.56, -6.63, 37.96) Global ( -8.56, -6.63, 37.96) +TGeoTessellated 403 Local ( -3.06, -2.22, 53.97) Global ( -3.06, -2.22, 53.97) +TGeoTessellated 404 Local ( -0.05, 1.50, 53.15) Global ( -0.05, 1.50, 53.15) +TGeoTessellated 405 Local ( -1.62, -3.69, 54.17) Global ( -1.62, -3.69, 54.17) +TGeoTessellated 406 Local ( -10.36, -0.51, 42.89) Global ( -10.36, -0.51, 42.89) +TGeoTessellated 407 Local ( -10.58, 0.52, 38.85) Global ( -10.58, 0.52, 38.85) +TGeoTessellated 408 Local ( -4.20, 1.33, 53.05) Global ( -4.20, 1.33, 53.05) +TGeoTessellated 409 Local ( -8.56, 4.94, 41.73) Global ( -8.56, 4.94, 41.73) +TGeoTessellated 410 Local ( -8.56, 5.28, 40.03) Global ( -8.56, 5.28, 40.03) +TGeoTessellated 411 Local ( -3.11, 3.00, 51.94) Global ( -3.11, 3.00, 51.94) +TGeoTessellated 412 Local ( -3.26, 8.22, 40.95) Global ( -3.26, 8.22, 40.95) +TGeoTessellated 413 Local ( -3.26, 8.72, 40.32) Global ( -3.26, 8.72, 40.32) +TGeoTessellated 414 Local ( -1.67, 4.50, 51.19) Global ( -1.67, 4.50, 51.19) +TGeoTessellated 415 Local ( -0.05, 8.72, 40.32) Global ( -0.05, 8.72, 40.32) +TGeoTessellated 416 Local ( -0.05, 8.22, 40.95) Global ( -0.05, 8.22, 40.95) +TGeoTessellated 417 Local ( -8.08, -5.95, 48.12) Global ( -8.08, -5.95, 48.12) +TGeoTessellated 418 Local ( -4.02, -8.03, 49.41) Global ( -4.02, -8.03, 49.41) +TGeoTessellated 419 Local ( -7.49, 4.75, 46.08) Global ( -7.49, 4.75, 46.08) +TGeoTessellated 420 Local ( -9.26, 1.68, 46.34) Global ( -9.26, 1.68, 46.34) +TGeoTessellated 421 Local ( -2.85, 7.17, 45.94) Global ( -2.85, 7.17, 45.94) +TGeoTessellated 422 Local ( -0.05, 7.17, 45.94) Global ( -0.05, 7.17, 45.94) +TGeoTessellated 423 Local ( -6.30, -3.62, 52.93) Global ( -6.30, -3.62, 52.93) +TGeoTessellated 424 Local ( -2.25, -5.81, 52.50) Global ( -2.25, -5.81, 52.50) +TGeoTessellated 425 Local ( -6.30, 3.38, 50.59) Global ( -6.30, 3.38, 50.59) +TGeoTessellated 426 Local ( -7.70, 2.03, 51.58) Global ( -7.70, 2.03, 51.58) +TGeoTessellated 427 Local ( -2.25, 5.39, 48.95) Global ( -2.25, 5.39, 48.95) +TGeoTessellated 428 Local ( -0.05, -3.69, 54.17) Global ( -0.05, -3.69, 54.17) +TGeoTessellated 429 Local ( -0.05, -5.73, 52.88) Global ( -0.05, -5.73, 52.88) +TGeoTessellated 430 Local ( -0.05, -9.93, 44.89) Global ( -0.05, -9.93, 44.89) +TGeoTessellated 431 Local ( -0.05, -10.31, 37.12) Global ( -0.05, -10.31, 37.12) +TGeoTessellated 432 Local ( -0.05, 4.50, 51.19) Global ( -0.05, 4.50, 51.19) +TGeoTessellated 433 Local ( -0.05, -8.02, 49.41) Global ( -0.05, -8.02, 49.41) +TGeoTessellated 434 Local ( -0.05, 5.59, 48.98) Global ( -0.05, 5.59, 48.98) +TGeoTessellated 435 Local ( -10.46, -3.04, 52.48) Global ( -10.46, -3.04, 52.48) +TGeoTessellated 436 Local ( -11.23, 1.09, 50.99) Global ( -11.23, 1.09, 50.99) +TGeoTessellated 437 Local ( 3.61, -10.31, 37.12) Global ( 3.61, -10.31, 37.12) +TGeoTessellated 438 Local ( 3.15, -9.93, 44.89) Global ( 3.15, -9.93, 44.89) +TGeoTessellated 439 Local ( 9.16, -5.81, 43.71) Global ( 9.16, -5.81, 43.71) +TGeoTessellated 440 Local ( 8.45, -6.63, 37.96) Global ( 8.45, -6.63, 37.96) +TGeoTessellated 441 Local ( 1.52, -3.69, 54.17) Global ( 1.52, -3.69, 54.17) +TGeoTessellated 442 Local ( 2.96, -2.22, 53.97) Global ( 2.96, -2.22, 53.97) +TGeoTessellated 443 Local ( 10.26, -0.51, 42.89) Global ( 10.26, -0.51, 42.89) +TGeoTessellated 444 Local ( 10.47, 0.52, 38.85) Global ( 10.47, 0.52, 38.85) +TGeoTessellated 445 Local ( 4.10, 1.33, 53.05) Global ( 4.10, 1.33, 53.05) +TGeoTessellated 446 Local ( 8.45, 4.94, 41.73) Global ( 8.45, 4.94, 41.73) +TGeoTessellated 447 Local ( 8.45, 5.28, 40.03) Global ( 8.45, 5.28, 40.03) +TGeoTessellated 448 Local ( 3.00, 3.00, 51.94) Global ( 3.00, 3.00, 51.94) +TGeoTessellated 449 Local ( 3.15, 8.22, 40.95) Global ( 3.15, 8.22, 40.95) +TGeoTessellated 450 Local ( 3.15, 8.72, 40.32) Global ( 3.15, 8.72, 40.32) +TGeoTessellated 451 Local ( 1.56, 4.50, 51.19) Global ( 1.56, 4.50, 51.19) +TGeoTessellated 452 Local ( 3.91, -8.03, 49.41) Global ( 3.91, -8.03, 49.41) +TGeoTessellated 453 Local ( 7.98, -5.95, 48.12) Global ( 7.98, -5.95, 48.12) +TGeoTessellated 454 Local ( 9.15, 1.68, 46.34) Global ( 9.15, 1.68, 46.34) +TGeoTessellated 455 Local ( 7.38, 4.75, 46.08) Global ( 7.38, 4.75, 46.08) +TGeoTessellated 456 Local ( 2.74, 7.17, 45.94) Global ( 2.74, 7.17, 45.94) +TGeoTessellated 457 Local ( 2.14, -5.81, 52.50) Global ( 2.14, -5.81, 52.50) +TGeoTessellated 458 Local ( 6.19, -3.62, 52.93) Global ( 6.19, -3.62, 52.93) +TGeoTessellated 459 Local ( 7.59, 2.03, 51.58) Global ( 7.59, 2.03, 51.58) +TGeoTessellated 460 Local ( 6.19, 3.38, 50.59) Global ( 6.19, 3.38, 50.59) +TGeoTessellated 461 Local ( 2.14, 5.39, 48.95) Global ( 2.14, 5.39, 48.95) +TGeoTessellated 462 Local ( 9.45, -3.03, 52.47) Global ( 9.45, -3.03, 52.47) +TGeoTessellated 463 Local ( 10.31, 1.15, 51.14) Global ( 10.31, 1.15, 51.14) +TGeoTessellated 464 Local ( -20.30, 1.36, 29.40) Global ( -20.30, 1.36, 29.40) +TGeoTessellated 465 Local ( -22.30, 2.15, 31.14) Global ( -22.30, 2.15, 31.14) +TGeoTessellated 466 Local ( -22.48, 2.71, 29.33) Global ( -22.48, 2.71, 29.33) +TGeoTessellated 467 Local ( -21.08, 2.57, 28.46) Global ( -21.08, 2.57, 28.46) +TGeoTessellated 468 Local ( -21.30, 0.04, 27.33) Global ( -21.30, 0.04, 27.33) +TGeoTessellated 469 Local ( -20.80, -4.02, 32.07) Global ( -20.80, -4.02, 32.07) +TGeoTessellated 470 Local ( -18.73, -3.51, 31.06) Global ( -18.73, -3.51, 31.06) +TGeoTessellated 471 Local ( -21.63, -2.78, 26.79) Global ( -21.63, -2.78, 26.79) +TGeoTessellated 472 Local ( -23.30, -3.00, 27.39) Global ( -23.30, -3.00, 27.39) +TGeoTessellated 473 Local ( -22.27, -2.71, 33.52) Global ( -22.27, -2.71, 33.52) +TGeoTessellated 474 Local ( -19.63, 0.63, 26.35) Global ( -19.63, 0.63, 26.35) +TGeoTessellated 475 Local ( -20.17, 0.79, 24.94) Global ( -20.17, 0.79, 24.94) +TGeoTessellated 476 Local ( -20.12, -1.05, 24.74) Global ( -20.12, -1.05, 24.74) +TGeoTessellated 477 Local ( -19.83, -1.34, 25.56) Global ( -19.83, -1.34, 25.56) +TGeoTessellated 478 Local ( -18.71, -0.99, 31.38) Global ( -18.71, -0.99, 31.38) +TGeoTessellated 479 Local ( -22.70, -0.78, 33.48) Global ( -22.70, -0.78, 33.48) +TGeoTessellated 480 Local ( -20.91, 0.81, 33.48) Global ( -20.91, 0.81, 33.48) +TGeoTessellated 481 Local ( -19.84, 2.57, 27.09) Global ( -19.84, 2.57, 27.09) +TGeoTessellated 482 Local ( -20.21, 3.06, 26.49) Global ( -20.21, 3.06, 26.49) +TGeoTessellated 483 Local ( -19.29, 1.53, 31.42) Global ( -19.29, 1.53, 31.42) +TGeoTessellated 484 Local ( -21.30, 3.04, 31.46) Global ( -21.30, 3.04, 31.46) +TGeoTessellated 485 Local ( -20.06, 3.91, 30.99) Global ( -20.06, 3.91, 30.99) +TGeoTessellated 486 Local ( -18.63, 2.43, 31.13) Global ( -18.63, 2.43, 31.13) +TGeoTessellated 487 Local ( -18.93, 0.07, 31.78) Global ( -18.93, 0.07, 31.78) +TGeoTessellated 488 Local ( -23.98, -0.83, 28.23) Global ( -23.98, -0.83, 28.23) +TGeoTessellated 489 Local ( -21.20, 3.15, 29.53) Global ( -21.20, 3.15, 29.53) +TGeoTessellated 490 Local ( -18.98, 2.13, 29.06) Global ( -18.98, 2.13, 29.06) +TGeoTessellated 491 Local ( -16.92, 4.38, 28.31) Global ( -16.92, 4.38, 28.31) +TGeoTessellated 492 Local ( -17.94, 5.00, 28.60) Global ( -17.94, 5.00, 28.60) +TGeoTessellated 493 Local ( -18.92, 4.00, 28.00) Global ( -18.92, 4.00, 28.00) +TGeoTessellated 494 Local ( -17.96, 3.62, 27.65) Global ( -17.96, 3.62, 27.65) +TGeoTessellated 495 Local ( -19.73, 3.25, 28.93) Global ( -19.73, 3.25, 28.93) +TGeoTessellated 496 Local ( -18.83, 4.35, 30.31) Global ( -18.83, 4.35, 30.31) +TGeoTessellated 497 Local ( -17.68, 2.98, 30.49) Global ( -17.68, 2.98, 30.49) +TGeoTessellated 498 Local ( -22.99, 0.47, 25.03) Global ( -22.99, 0.47, 25.03) +TGeoTessellated 499 Local ( -22.93, -1.81, 24.90) Global ( -22.93, -1.81, 24.90) +TGeoTessellated 500 Local ( -21.90, -2.22, 25.97) Global ( -21.90, -2.22, 25.97) +TGeoTessellated 501 Local ( -22.08, 0.10, 27.41) Global ( -22.08, 0.10, 27.41) +TGeoTessellated 502 Local ( -22.98, 3.22, 27.37) Global ( -22.98, 3.22, 27.37) +TGeoTessellated 503 Local ( -22.34, 2.46, 28.42) Global ( -22.34, 2.46, 28.42) +TGeoTessellated 504 Local ( -6.74, -8.01, 0.06) Global ( -6.74, -8.01, 0.06) +TGeoTessellated 505 Local ( -5.42, -3.22, 0.10) Global ( -5.42, -3.22, 0.10) +TGeoTessellated 506 Local ( -12.24, -3.30, 0.10) Global ( -12.24, -3.30, 0.10) +TGeoTessellated 507 Local ( -5.30, -2.92, 0.91) Global ( -5.30, -2.92, 0.91) +TGeoTessellated 508 Local ( -12.00, -2.92, 0.75) Global ( -12.00, -2.92, 0.75) +TGeoTessellated 509 Local ( -4.83, 6.58, 0.43) Global ( -4.83, 6.58, 0.43) +TGeoTessellated 510 Local ( -7.18, 8.20, 0.05) Global ( -7.18, 8.20, 0.05) +TGeoTessellated 511 Local ( -10.43, 8.28, 0.19) Global ( -10.43, 8.28, 0.19) +TGeoTessellated 512 Local ( -5.89, -0.02, 0.18) Global ( -5.89, -0.02, 0.18) +TGeoTessellated 513 Local ( -11.82, 6.79, 0.06) Global ( -11.82, 6.79, 0.06) +TGeoTessellated 514 Local ( -12.23, -0.37, 0.19) Global ( -12.23, -0.37, 0.19) +TGeoTessellated 515 Local ( -6.74, -7.86, 1.59) Global ( -6.74, -7.86, 1.59) +TGeoTessellated 516 Local ( -5.30, -3.52, 1.53) Global ( -5.30, -3.52, 1.53) +TGeoTessellated 517 Local ( -10.31, -8.24, 0.34) Global ( -10.31, -8.24, 0.34) +TGeoTessellated 518 Local ( -10.31, -8.09, 1.87) Global ( -10.31, -8.09, 1.87) +TGeoTessellated 519 Local ( -12.00, -3.52, 1.37) Global ( -12.00, -3.52, 1.37) +TGeoTessellated 520 Local ( -7.18, 8.20, 0.89) Global ( -7.18, 8.20, 0.89) +TGeoTessellated 521 Local ( -10.43, 8.28, 1.03) Global ( -10.43, 8.28, 1.03) +TGeoTessellated 522 Local ( -4.84, 6.58, 1.27) Global ( -4.84, 6.58, 1.27) +TGeoTessellated 523 Local ( -11.82, 6.79, 0.90) Global ( -11.82, 6.79, 0.90) +TGeoTessellated 524 Local ( -5.89, -0.01, 1.02) Global ( -5.89, -0.01, 1.02) +TGeoTessellated 525 Local ( -12.23, -0.37, 1.03) Global ( -12.23, -0.37, 1.03) +TGeoTessellated 526 Local ( -8.07, 7.58, 3.71) Global ( -8.07, 7.58, 3.71) +TGeoTessellated 527 Local ( -11.42, 6.44, 3.04) Global ( -11.42, 6.44, 3.04) +TGeoTessellated 528 Local ( -5.46, 6.00, 3.18) Global ( -5.46, 6.00, 3.18) +TGeoTessellated 529 Local ( -5.23, 2.54, 3.10) Global ( -5.23, 2.54, 3.10) +TGeoTessellated 530 Local ( -11.92, 3.15, 2.81) Global ( -11.92, 3.15, 2.81) +TGeoTessellated 531 Local ( -8.59, 0.51, 5.95) Global ( -8.59, 0.51, 5.95) +TGeoTessellated 532 Local ( -11.12, -1.39, 5.83) Global ( -11.12, -1.39, 5.83) +TGeoTessellated 533 Local ( -8.13, 4.47, 4.41) Global ( -8.13, 4.47, 4.41) +TGeoTessellated 534 Local ( -8.21, 2.77, 5.05) Global ( -8.21, 2.77, 5.05) +TGeoTessellated 535 Local ( -11.89, -3.51, 5.85) Global ( -11.89, -3.51, 5.85) +TGeoTessellated 536 Local ( -5.85, -1.06, 5.82) Global ( -5.85, -1.06, 5.82) +TGeoTessellated 537 Local ( -4.94, -3.74, 5.83) Global ( -4.94, -3.74, 5.83) +TGeoTessellated 538 Local ( -5.59, -6.46, 5.84) Global ( -5.59, -6.46, 5.84) +TGeoTessellated 539 Local ( -7.25, -6.39, 5.81) Global ( -7.25, -6.39, 5.81) +TGeoTessellated 540 Local ( -10.55, -6.22, 5.85) Global ( -10.55, -6.22, 5.85) +TGeoTessellated 541 Local ( -3.70, -5.89, 19.34) Global ( -3.70, -5.89, 19.34) +TGeoTessellated 542 Local ( -2.38, -1.62, 19.03) Global ( -2.38, -1.62, 19.03) +TGeoTessellated 543 Local ( -2.65, -1.98, 17.37) Global ( -2.65, -1.98, 17.37) +TGeoTessellated 544 Local ( -3.97, -5.80, 17.26) Global ( -3.97, -5.80, 17.26) +TGeoTessellated 545 Local ( -6.09, -7.50, 19.45) Global ( -6.09, -7.50, 19.45) +TGeoTessellated 546 Local ( -6.10, -7.38, 17.16) Global ( -6.10, -7.38, 17.16) +TGeoTessellated 547 Local ( -9.14, -6.60, 20.15) Global ( -9.14, -6.60, 20.15) +TGeoTessellated 548 Local ( -9.38, -5.80, 17.15) Global ( -9.38, -5.80, 17.15) +TGeoTessellated 549 Local ( -12.28, -1.62, 20.31) Global ( -12.28, -1.62, 20.31) +TGeoTessellated 550 Local ( -12.01, -1.98, 17.74) Global ( -12.01, -1.98, 17.74) +TGeoTessellated 551 Local ( -9.14, 2.75, 20.00) Global ( -9.14, 2.75, 20.00) +TGeoTessellated 552 Local ( -9.03, 1.84, 17.15) Global ( -9.03, 1.84, 17.15) +TGeoTessellated 553 Local ( -6.09, 4.71, 19.30) Global ( -6.09, 4.71, 19.30) +TGeoTessellated 554 Local ( -6.61, 3.42, 17.16) Global ( -6.61, 3.42, 17.16) +TGeoTessellated 555 Local ( -3.56, 2.75, 19.19) Global ( -3.56, 2.75, 19.19) +TGeoTessellated 556 Local ( -3.73, 1.84, 17.26) Global ( -3.73, 1.84, 17.26) +TGeoTessellated 557 Local ( -2.73, -7.26, 22.00) Global ( -2.73, -7.26, 22.00) +TGeoTessellated 558 Local ( -0.77, -2.00, 21.73) Global ( -0.77, -2.00, 21.73) +TGeoTessellated 559 Local ( -5.30, -9.20, 23.41) Global ( -5.30, -9.20, 23.41) +TGeoTessellated 560 Local ( -8.94, -7.67, 24.86) Global ( -8.94, -7.67, 24.86) +TGeoTessellated 561 Local ( -12.00, -1.98, 25.46) Global ( -12.00, -1.98, 25.46) +TGeoTessellated 562 Local ( -8.94, 3.65, 24.38) Global ( -8.94, 3.65, 24.38) +TGeoTessellated 563 Local ( -5.30, 6.18, 22.93) Global ( -5.30, 6.18, 22.93) +TGeoTessellated 564 Local ( -2.62, 3.63, 21.67) Global ( -2.62, 3.63, 21.67) +TGeoTessellated 565 Local ( -1.55, -8.22, 23.87) Global ( -1.55, -8.22, 23.87) +TGeoTessellated 566 Local ( -0.05, -1.79, 23.37) Global ( -0.05, -1.79, 23.37) +TGeoTessellated 567 Local ( -9.42, -7.74, 28.04) Global ( -9.42, -7.74, 28.04) +TGeoTessellated 568 Local ( -8.47, 4.57, 28.90) Global ( -8.47, 4.57, 28.90) +TGeoTessellated 569 Local ( -11.02, -0.49, 30.41) Global ( -11.02, -0.49, 30.41) +TGeoTessellated 570 Local ( -3.80, 6.90, 27.06) Global ( -3.80, 6.90, 27.06) +TGeoTessellated 571 Local ( -0.05, 4.19, 24.29) Global ( -0.05, 4.19, 24.29) +TGeoTessellated 572 Local ( -13.69, 0.23, 49.96) Global ( -13.69, 0.23, 49.96) +TGeoTessellated 573 Local ( -13.61, -3.39, 50.67) Global ( -13.61, -3.39, 50.67) +TGeoTessellated 574 Local ( -15.07, -3.96, 48.15) Global ( -15.07, -3.96, 48.15) +TGeoTessellated 575 Local ( -15.73, -1.01, 47.56) Global ( -15.73, -1.01, 47.56) +TGeoTessellated 576 Local ( -9.36, -7.07, 37.45) Global ( -9.36, -7.07, 37.45) +TGeoTessellated 577 Local ( -4.02, -10.87, 36.46) Global ( -4.02, -10.87, 36.46) +TGeoTessellated 578 Local ( -11.58, 0.61, 38.47) Global ( -11.58, 0.61, 38.47) +TGeoTessellated 579 Local ( -9.37, 5.89, 39.72) Global ( -9.37, 5.89, 39.72) +TGeoTessellated 580 Local ( -3.57, 9.66, 40.02) Global ( -3.57, 9.66, 40.02) +TGeoTessellated 581 Local ( -0.05, 9.66, 40.02) Global ( -0.05, 9.66, 40.02) +TGeoTessellated 582 Local ( -8.94, -6.79, 33.80) Global ( -8.94, -6.79, 33.80) +TGeoTessellated 583 Local ( -4.20, -11.12, 33.91) Global ( -4.20, -11.12, 33.91) +TGeoTessellated 584 Local ( -11.14, 0.60, 32.21) Global ( -11.14, 0.60, 32.21) +TGeoTessellated 585 Local ( -9.59, 5.89, 31.27) Global ( -9.59, 5.89, 31.27) +TGeoTessellated 586 Local ( -3.46, 9.46, 30.27) Global ( -3.46, 9.46, 30.27) +TGeoTessellated 587 Local ( -0.05, 9.46, 30.27) Global ( -0.05, 9.46, 30.27) +TGeoTessellated 588 Local ( -8.32, -6.51, 33.22) Global ( -8.32, -6.51, 33.22) +TGeoTessellated 589 Local ( -3.96, -10.52, 33.27) Global ( -3.96, -10.52, 33.27) +TGeoTessellated 590 Local ( -10.87, 0.48, 31.59) Global ( -10.87, 0.48, 31.59) +TGeoTessellated 591 Local ( -8.38, 5.41, 30.91) Global ( -8.38, 5.41, 30.91) +TGeoTessellated 592 Local ( -3.22, 8.73, 29.80) Global ( -3.22, 8.73, 29.80) +TGeoTessellated 593 Local ( -0.05, 8.73, 29.80) Global ( -0.05, 8.73, 29.80) +TGeoTessellated 594 Local ( -8.75, -7.04, 31.25) Global ( -8.75, -7.04, 31.25) +TGeoTessellated 595 Local ( -0.05, 6.03, 25.88) Global ( -0.05, 6.03, 25.88) +TGeoTessellated 596 Local ( -0.05, -10.87, 36.46) Global ( -0.05, -10.87, 36.46) +TGeoTessellated 597 Local ( -0.05, -11.12, 33.91) Global ( -0.05, -11.12, 33.91) +TGeoTessellated 598 Local ( -0.05, -10.52, 33.27) Global ( -0.05, -10.52, 33.27) +TGeoTessellated 599 Local ( -0.05, -8.76, 24.11) Global ( -0.05, -8.76, 24.11) +TGeoTessellated 600 Local ( -0.05, -10.28, 25.26) Global ( -0.05, -10.28, 25.26) +TGeoTessellated 601 Local ( -0.05, -10.97, 31.52) Global ( -0.05, -10.97, 31.52) +TGeoTessellated 602 Local ( -4.71, -10.28, 31.51) Global ( -4.71, -10.28, 31.51) +TGeoTessellated 603 Local ( -0.05, -11.63, 27.99) Global ( -0.05, -11.63, 27.99) +TGeoTessellated 604 Local ( -5.05, -10.77, 27.19) Global ( -5.05, -10.77, 27.19) +TGeoTessellated 605 Local ( -3.28, -8.69, 13.63) Global ( -3.28, -8.69, 13.63) +TGeoTessellated 606 Local ( -2.00, -2.48, 13.28) Global ( -2.00, -2.48, 13.28) +TGeoTessellated 607 Local ( -7.38, -9.54, 13.06) Global ( -7.38, -9.54, 13.06) +TGeoTessellated 608 Local ( -9.58, -8.54, 13.12) Global ( -9.58, -8.54, 13.12) +TGeoTessellated 609 Local ( -13.92, -2.06, 13.72) Global ( -13.92, -2.06, 13.72) +TGeoTessellated 610 Local ( -11.24, 3.19, 12.68) Global ( -11.24, 3.19, 12.68) +TGeoTessellated 611 Local ( -7.68, 4.89, 12.93) Global ( -7.68, 4.89, 12.93) +TGeoTessellated 612 Local ( -3.28, 3.34, 13.11) Global ( -3.28, 3.34, 13.11) +TGeoTessellated 613 Local ( -4.90, -6.83, 14.33) Global ( -4.90, -6.83, 14.33) +TGeoTessellated 614 Local ( -3.44, -2.40, 14.03) Global ( -3.44, -2.40, 14.03) +TGeoTessellated 615 Local ( -7.32, -7.25, 13.91) Global ( -7.32, -7.25, 13.91) +TGeoTessellated 616 Local ( -8.63, -6.64, 14.21) Global ( -8.63, -6.64, 14.21) +TGeoTessellated 617 Local ( -12.04, -1.85, 14.40) Global ( -12.04, -1.85, 14.40) +TGeoTessellated 618 Local ( -10.97, 1.64, 13.87) Global ( -10.97, 1.64, 13.87) +TGeoTessellated 619 Local ( -7.72, 2.74, 13.88) Global ( -7.72, 2.74, 13.88) +TGeoTessellated 620 Local ( -4.95, 1.90, 13.94) Global ( -4.95, 1.90, 13.94) +TGeoTessellated 621 Local ( -4.61, -7.35, 12.09) Global ( -4.61, -7.35, 12.09) +TGeoTessellated 622 Local ( -3.69, -2.89, 12.08) Global ( -3.69, -2.89, 12.08) +TGeoTessellated 623 Local ( -7.18, -7.70, 12.08) Global ( -7.18, -7.70, 12.08) +TGeoTessellated 624 Local ( -9.85, -6.94, 12.10) Global ( -9.85, -6.94, 12.10) +TGeoTessellated 625 Local ( -12.65, -2.30, 12.92) Global ( -12.65, -2.30, 12.92) +TGeoTessellated 626 Local ( -11.54, 0.57, 11.71) Global ( -11.54, 0.57, 11.71) +TGeoTessellated 627 Local ( -7.71, 1.83, 10.88) Global ( -7.71, 1.83, 10.88) +TGeoTessellated 628 Local ( -4.99, 0.93, 10.88) Global ( -4.99, 0.93, 10.88) +TGeoTessellated 629 Local ( -12.09, -6.21, 46.57) Global ( -12.09, -6.21, 46.57) +TGeoTessellated 630 Local ( -12.37, 2.06, 44.47) Global ( -12.37, 2.06, 44.47) +TGeoTessellated 631 Local ( -14.08, -7.01, 44.01) Global ( -14.08, -7.01, 44.01) +TGeoTessellated 632 Local ( -11.45, -5.75, 41.16) Global ( -11.45, -5.75, 41.16) +TGeoTessellated 633 Local ( -12.24, -2.08, 40.57) Global ( -12.24, -2.08, 40.57) +TGeoTessellated 634 Local ( -14.41, 0.53, 42.10) Global ( -14.41, 0.53, 42.10) +TGeoTessellated 635 Local ( -16.29, -4.77, 45.44) Global ( -16.29, -4.77, 45.44) +TGeoTessellated 636 Local ( -16.94, -1.80, 44.97) Global ( -16.94, -1.80, 44.97) +TGeoTessellated 637 Local ( -15.38, -7.01, 41.22) Global ( -15.38, -7.01, 41.22) +TGeoTessellated 638 Local ( -12.39, -5.17, 39.71) Global ( -12.39, -5.17, 39.71) +TGeoTessellated 639 Local ( -13.20, -1.68, 40.98) Global ( -13.20, -1.68, 40.98) +TGeoTessellated 640 Local ( -15.64, -1.20, 42.85) Global ( -15.64, -1.20, 42.85) +TGeoTessellated 641 Local ( -17.85, -6.23, 43.01) Global ( -17.85, -6.23, 43.01) +TGeoTessellated 642 Local ( -18.50, -3.40, 44.04) Global ( -18.50, -3.40, 44.04) +TGeoTessellated 643 Local ( -16.18, -8.28, 38.59) Global ( -16.18, -8.28, 38.59) +TGeoTessellated 644 Local ( -11.35, -5.29, 36.17) Global ( -11.35, -5.29, 36.17) +TGeoTessellated 645 Local ( -12.67, 0.40, 38.24) Global ( -12.67, 0.40, 38.24) +TGeoTessellated 646 Local ( -16.60, 1.20, 41.26) Global ( -16.60, 1.20, 41.26) +TGeoTessellated 647 Local ( -20.15, -6.99, 41.50) Global ( -20.15, -6.99, 41.50) +TGeoTessellated 648 Local ( -21.22, -2.38, 43.18) Global ( -21.22, -2.38, 43.18) +TGeoTessellated 649 Local ( -16.18, -7.45, 38.80) Global ( -16.18, -7.45, 38.80) +TGeoTessellated 650 Local ( -12.12, -4.95, 36.77) Global ( -12.12, -4.95, 36.77) +TGeoTessellated 651 Local ( -13.22, -0.29, 38.45) Global ( -13.22, -0.29, 38.45) +TGeoTessellated 652 Local ( -16.52, 0.38, 41.02) Global ( -16.52, 0.38, 41.02) +TGeoTessellated 653 Local ( -19.58, -6.35, 41.30) Global ( -19.58, -6.35, 41.30) +TGeoTessellated 654 Local ( -20.44, -2.65, 42.63) Global ( -20.44, -2.65, 42.63) +TGeoTessellated 655 Local ( -17.74, -6.45, 36.54) Global ( -17.74, -6.45, 36.54) +TGeoTessellated 656 Local ( -14.17, -4.24, 34.76) Global ( -14.17, -4.24, 34.76) +TGeoTessellated 657 Local ( -15.15, -0.09, 36.26) Global ( -15.15, -0.09, 36.26) +TGeoTessellated 658 Local ( -18.04, 0.80, 38.62) Global ( -18.04, 0.80, 38.62) +TGeoTessellated 659 Local ( -20.72, -5.45, 38.74) Global ( -20.72, -5.45, 38.74) +TGeoTessellated 660 Local ( -21.49, -2.16, 39.92) Global ( -21.49, -2.16, 39.92) +TGeoTessellated 661 Local ( -19.62, -4.50, 34.03) Global ( -19.62, -4.50, 34.03) +TGeoTessellated 662 Local ( -17.38, -3.11, 32.92) Global ( -17.38, -3.11, 32.92) +TGeoTessellated 663 Local ( -19.26, 0.10, 35.00) Global ( -19.26, 0.10, 35.00) +TGeoTessellated 664 Local ( -18.00, -0.46, 33.87) Global ( -18.00, -0.46, 33.87) +TGeoTessellated 665 Local ( -21.48, -3.85, 35.41) Global ( -21.48, -3.85, 35.41) +TGeoTessellated 666 Local ( -21.98, -1.75, 36.17) Global ( -21.98, -1.75, 36.17) +TGeoTessellated 667 Local ( -19.76, 0.32, 35.45) Global ( -19.76, 0.32, 35.45) +TGeoTessellated 668 Local ( 20.90, 4.31, 29.79) Global ( 20.90, 4.31, 29.79) +TGeoTessellated 669 Local ( 20.91, 3.54, 31.54) Global ( 20.91, 3.54, 31.54) +TGeoTessellated 670 Local ( 18.78, 2.88, 29.90) Global ( 18.78, 2.88, 29.90) +TGeoTessellated 671 Local ( 19.43, 4.22, 29.05) Global ( 19.43, 4.22, 29.05) +TGeoTessellated 672 Local ( 19.62, 1.86, 27.60) Global ( 19.62, 1.86, 27.60) +TGeoTessellated 673 Local ( 19.98, -0.86, 26.70) Global ( 19.98, -0.86, 26.70) +TGeoTessellated 674 Local ( 17.53, -2.22, 31.09) Global ( 17.53, -2.22, 31.09) +TGeoTessellated 675 Local ( 19.70, -2.75, 31.84) Global ( 19.70, -2.75, 31.84) +TGeoTessellated 676 Local ( 21.71, -1.08, 27.11) Global ( 21.71, -1.08, 27.11) +TGeoTessellated 677 Local ( 21.25, -1.56, 33.30) Global ( 21.25, -1.56, 33.30) +TGeoTessellated 678 Local ( 18.40, 1.37, 24.32) Global ( 18.40, 1.37, 24.32) +TGeoTessellated 679 Local ( 18.52, 3.18, 24.75) Global ( 18.52, 3.18, 24.75) +TGeoTessellated 680 Local ( 17.74, 2.91, 26.02) Global ( 17.74, 2.91, 26.02) +TGeoTessellated 681 Local ( 17.95, 1.03, 25.04) Global ( 17.95, 1.03, 25.04) +TGeoTessellated 682 Local ( 17.46, 0.24, 31.71) Global ( 17.46, 0.24, 31.71) +TGeoTessellated 683 Local ( 19.79, 1.87, 33.81) Global ( 19.79, 1.87, 33.81) +TGeoTessellated 684 Local ( 21.62, 0.37, 33.45) Global ( 21.62, 0.37, 33.45) +TGeoTessellated 685 Local ( 18.44, 5.25, 26.56) Global ( 18.44, 5.25, 26.56) +TGeoTessellated 686 Local ( 17.93, 4.73, 27.02) Global ( 17.93, 4.73, 27.02) +TGeoTessellated 687 Local ( 19.40, 4.86, 31.86) Global ( 19.40, 4.86, 31.86) +TGeoTessellated 688 Local ( 20.28, 3.76, 32.58) Global ( 20.28, 3.76, 32.58) +TGeoTessellated 689 Local ( 18.23, 2.61, 31.67) Global ( 18.23, 2.61, 31.67) +TGeoTessellated 690 Local ( 17.83, 3.63, 31.31) Global ( 17.83, 3.63, 31.31) +TGeoTessellated 691 Local ( 17.69, 1.26, 32.22) Global ( 17.69, 1.26, 32.22) +TGeoTessellated 692 Local ( 22.40, 1.00, 28.15) Global ( 22.40, 1.00, 28.15) +TGeoTessellated 693 Local ( 20.87, 4.06, 30.77) Global ( 20.87, 4.06, 30.77) +TGeoTessellated 694 Local ( 18.85, 3.46, 29.45) Global ( 18.85, 3.46, 29.45) +TGeoTessellated 695 Local ( 19.40, 5.41, 28.70) Global ( 19.40, 5.41, 28.70) +TGeoTessellated 696 Local ( 18.41, 6.49, 29.08) Global ( 18.41, 6.49, 29.08) +TGeoTessellated 697 Local ( 17.48, 6.08, 28.38) Global ( 17.48, 6.08, 28.38) +TGeoTessellated 698 Local ( 18.58, 5.21, 28.01) Global ( 18.58, 5.21, 28.01) +TGeoTessellated 699 Local ( 18.55, 5.56, 30.87) Global ( 18.55, 5.56, 30.87) +TGeoTessellated 700 Local ( 19.73, 4.45, 29.73) Global ( 19.73, 4.45, 29.73) +TGeoTessellated 701 Local ( 17.25, 4.39, 30.48) Global ( 17.25, 4.39, 30.48) +TGeoTessellated 702 Local ( 21.26, 2.60, 25.27) Global ( 21.26, 2.60, 25.27) +TGeoTessellated 703 Local ( 21.08, 0.37, 24.85) Global ( 21.08, 0.37, 24.85) +TGeoTessellated 704 Local ( 19.85, -0.07, 25.68) Global ( 19.85, -0.07, 25.68) +TGeoTessellated 705 Local ( 19.92, 2.05, 27.40) Global ( 19.92, 2.05, 27.40) +TGeoTessellated 706 Local ( 21.01, 5.07, 27.90) Global ( 21.01, 5.07, 27.90) +TGeoTessellated 707 Local ( 20.15, 4.26, 28.73) Global ( 20.15, 4.26, 28.73) +TGeoTessellated 708 Local ( 12.13, -3.30, 0.10) Global ( 12.13, -3.30, 0.10) +TGeoTessellated 709 Local ( 5.31, -3.22, 0.10) Global ( 5.31, -3.22, 0.10) +TGeoTessellated 710 Local ( 6.64, -8.01, 0.06) Global ( 6.64, -8.01, 0.06) +TGeoTessellated 711 Local ( 11.89, -2.92, 0.75) Global ( 11.89, -2.92, 0.75) +TGeoTessellated 712 Local ( 5.19, -2.92, 0.91) Global ( 5.19, -2.92, 0.91) +TGeoTessellated 713 Local ( 10.33, 8.28, 0.19) Global ( 10.33, 8.28, 0.19) +TGeoTessellated 714 Local ( 7.08, 8.20, 0.05) Global ( 7.08, 8.20, 0.05) +TGeoTessellated 715 Local ( 4.73, 6.58, 0.43) Global ( 4.73, 6.58, 0.43) +TGeoTessellated 716 Local ( 11.72, 6.79, 0.06) Global ( 11.72, 6.79, 0.06) +TGeoTessellated 717 Local ( 5.78, -0.02, 0.18) Global ( 5.78, -0.02, 0.18) +TGeoTessellated 718 Local ( 12.12, -0.37, 0.19) Global ( 12.12, -0.37, 0.19) +TGeoTessellated 719 Local ( 5.19, -3.52, 1.53) Global ( 5.19, -3.52, 1.53) +TGeoTessellated 720 Local ( 6.64, -7.86, 1.59) Global ( 6.64, -7.86, 1.59) +TGeoTessellated 721 Local ( 10.21, -8.09, 1.87) Global ( 10.21, -8.09, 1.87) +TGeoTessellated 722 Local ( 10.21, -8.24, 0.34) Global ( 10.21, -8.24, 0.34) +TGeoTessellated 723 Local ( 11.89, -3.52, 1.37) Global ( 11.89, -3.52, 1.37) +TGeoTessellated 724 Local ( 10.33, 8.28, 1.03) Global ( 10.33, 8.28, 1.03) +TGeoTessellated 725 Local ( 7.08, 8.20, 0.89) Global ( 7.08, 8.20, 0.89) +TGeoTessellated 726 Local ( 4.73, 6.58, 1.27) Global ( 4.73, 6.58, 1.27) +TGeoTessellated 727 Local ( 11.72, 6.79, 0.90) Global ( 11.72, 6.79, 0.90) +TGeoTessellated 728 Local ( 5.78, -0.01, 1.02) Global ( 5.78, -0.01, 1.02) +TGeoTessellated 729 Local ( 12.13, -0.37, 1.03) Global ( 12.13, -0.37, 1.03) +TGeoTessellated 730 Local ( 11.31, 6.44, 3.04) Global ( 11.31, 6.44, 3.04) +TGeoTessellated 731 Local ( 7.96, 7.58, 3.71) Global ( 7.96, 7.58, 3.71) +TGeoTessellated 732 Local ( 5.35, 6.00, 3.18) Global ( 5.35, 6.00, 3.18) +TGeoTessellated 733 Local ( 5.12, 2.54, 3.10) Global ( 5.12, 2.54, 3.10) +TGeoTessellated 734 Local ( 11.82, 3.15, 2.81) Global ( 11.82, 3.15, 2.81) +TGeoTessellated 735 Local ( 11.02, -1.39, 5.83) Global ( 11.02, -1.39, 5.83) +TGeoTessellated 736 Local ( 8.49, 0.51, 5.95) Global ( 8.49, 0.51, 5.95) +TGeoTessellated 737 Local ( 8.11, 2.77, 5.05) Global ( 8.11, 2.77, 5.05) +TGeoTessellated 738 Local ( 8.02, 4.47, 4.41) Global ( 8.02, 4.47, 4.41) +TGeoTessellated 739 Local ( 11.78, -3.51, 5.85) Global ( 11.78, -3.51, 5.85) +TGeoTessellated 740 Local ( 5.75, -1.06, 5.82) Global ( 5.75, -1.06, 5.82) +TGeoTessellated 741 Local ( 4.84, -3.74, 5.83) Global ( 4.84, -3.74, 5.83) +TGeoTessellated 742 Local ( 5.49, -6.46, 5.84) Global ( 5.49, -6.46, 5.84) +TGeoTessellated 743 Local ( 7.14, -6.39, 5.81) Global ( 7.14, -6.39, 5.81) +TGeoTessellated 744 Local ( 10.45, -6.22, 5.85) Global ( 10.45, -6.22, 5.85) +TGeoTessellated 745 Local ( 2.55, -1.98, 17.37) Global ( 2.55, -1.98, 17.37) +TGeoTessellated 746 Local ( 2.28, -1.62, 19.03) Global ( 2.28, -1.62, 19.03) +TGeoTessellated 747 Local ( 3.60, -5.89, 19.34) Global ( 3.60, -5.89, 19.34) +TGeoTessellated 748 Local ( 3.86, -5.80, 17.26) Global ( 3.86, -5.80, 17.26) +TGeoTessellated 749 Local ( 5.98, -7.50, 19.45) Global ( 5.98, -7.50, 19.45) +TGeoTessellated 750 Local ( 5.99, -7.38, 17.16) Global ( 5.99, -7.38, 17.16) +TGeoTessellated 751 Local ( 9.03, -6.60, 20.15) Global ( 9.03, -6.60, 20.15) +TGeoTessellated 752 Local ( 9.27, -5.80, 17.15) Global ( 9.27, -5.80, 17.15) +TGeoTessellated 753 Local ( 12.18, -1.62, 20.31) Global ( 12.18, -1.62, 20.31) +TGeoTessellated 754 Local ( 11.91, -1.98, 17.74) Global ( 11.91, -1.98, 17.74) +TGeoTessellated 755 Local ( 9.03, 2.75, 20.00) Global ( 9.03, 2.75, 20.00) +TGeoTessellated 756 Local ( 8.93, 1.84, 17.15) Global ( 8.93, 1.84, 17.15) +TGeoTessellated 757 Local ( 5.98, 4.71, 19.30) Global ( 5.98, 4.71, 19.30) +TGeoTessellated 758 Local ( 6.50, 3.42, 17.16) Global ( 6.50, 3.42, 17.16) +TGeoTessellated 759 Local ( 3.45, 2.75, 19.19) Global ( 3.45, 2.75, 19.19) +TGeoTessellated 760 Local ( 3.63, 1.84, 17.26) Global ( 3.63, 1.84, 17.26) +TGeoTessellated 761 Local ( 0.67, -2.00, 21.73) Global ( 0.67, -2.00, 21.73) +TGeoTessellated 762 Local ( 2.63, -7.26, 22.00) Global ( 2.63, -7.26, 22.00) +TGeoTessellated 763 Local ( 5.20, -9.20, 23.41) Global ( 5.20, -9.20, 23.41) +TGeoTessellated 764 Local ( 8.83, -7.67, 24.86) Global ( 8.83, -7.67, 24.86) +TGeoTessellated 765 Local ( 11.89, -1.98, 25.46) Global ( 11.89, -1.98, 25.46) +TGeoTessellated 766 Local ( 8.83, 3.65, 24.38) Global ( 8.83, 3.65, 24.38) +TGeoTessellated 767 Local ( 5.20, 6.18, 22.93) Global ( 5.20, 6.18, 22.93) +TGeoTessellated 768 Local ( 2.52, 3.63, 21.67) Global ( 2.52, 3.63, 21.67) +TGeoTessellated 769 Local ( 1.45, -8.22, 23.87) Global ( 1.45, -8.22, 23.87) +TGeoTessellated 770 Local ( 9.32, -7.74, 28.04) Global ( 9.32, -7.74, 28.04) +TGeoTessellated 771 Local ( 10.91, -0.49, 30.41) Global ( 10.91, -0.49, 30.41) +TGeoTessellated 772 Local ( 8.36, 4.57, 28.90) Global ( 8.36, 4.57, 28.90) +TGeoTessellated 773 Local ( 3.69, 6.90, 27.06) Global ( 3.69, 6.90, 27.06) +TGeoTessellated 774 Local ( 15.05, -3.95, 48.17) Global ( 15.05, -3.95, 48.17) +TGeoTessellated 775 Local ( 13.66, -3.38, 50.73) Global ( 13.66, -3.38, 50.73) +TGeoTessellated 776 Local ( 13.74, 0.24, 50.03) Global ( 13.74, 0.24, 50.03) +TGeoTessellated 777 Local ( 15.71, -1.00, 47.57) Global ( 15.71, -1.00, 47.57) +TGeoTessellated 778 Local ( 9.26, -7.07, 37.45) Global ( 9.26, -7.07, 37.45) +TGeoTessellated 779 Local ( 3.92, -10.87, 36.46) Global ( 3.92, -10.87, 36.46) +TGeoTessellated 780 Local ( 11.47, 0.61, 38.47) Global ( 11.47, 0.61, 38.47) +TGeoTessellated 781 Local ( 9.26, 5.89, 39.72) Global ( 9.26, 5.89, 39.72) +TGeoTessellated 782 Local ( 3.47, 9.66, 40.02) Global ( 3.47, 9.66, 40.02) +TGeoTessellated 783 Local ( 8.83, -6.79, 33.80) Global ( 8.83, -6.79, 33.80) +TGeoTessellated 784 Local ( 4.09, -11.12, 33.91) Global ( 4.09, -11.12, 33.91) +TGeoTessellated 785 Local ( 11.04, 0.60, 32.21) Global ( 11.04, 0.60, 32.21) +TGeoTessellated 786 Local ( 9.49, 5.89, 31.27) Global ( 9.49, 5.89, 31.27) +TGeoTessellated 787 Local ( 3.35, 9.46, 30.27) Global ( 3.35, 9.46, 30.27) +TGeoTessellated 788 Local ( 8.22, -6.51, 33.22) Global ( 8.22, -6.51, 33.22) +TGeoTessellated 789 Local ( 3.86, -10.52, 33.27) Global ( 3.86, -10.52, 33.27) +TGeoTessellated 790 Local ( 10.76, 0.48, 31.59) Global ( 10.76, 0.48, 31.59) +TGeoTessellated 791 Local ( 8.28, 5.41, 30.91) Global ( 8.28, 5.41, 30.91) +TGeoTessellated 792 Local ( 3.11, 8.73, 29.80) Global ( 3.11, 8.73, 29.80) +TGeoTessellated 793 Local ( 8.65, -7.04, 31.25) Global ( 8.65, -7.04, 31.25) +TGeoTessellated 794 Local ( 4.60, -10.28, 31.51) Global ( 4.60, -10.28, 31.51) +TGeoTessellated 795 Local ( 4.94, -10.77, 27.19) Global ( 4.94, -10.77, 27.19) +TGeoTessellated 796 Local ( 3.18, -8.69, 13.63) Global ( 3.18, -8.69, 13.63) +TGeoTessellated 797 Local ( 1.90, -2.48, 13.28) Global ( 1.90, -2.48, 13.28) +TGeoTessellated 798 Local ( 7.28, -9.54, 13.06) Global ( 7.28, -9.54, 13.06) +TGeoTessellated 799 Local ( 9.48, -8.54, 13.12) Global ( 9.48, -8.54, 13.12) +TGeoTessellated 800 Local ( 13.81, -2.06, 13.72) Global ( 13.81, -2.06, 13.72) +TGeoTessellated 801 Local ( 11.14, 3.19, 12.68) Global ( 11.14, 3.19, 12.68) +TGeoTessellated 802 Local ( 7.57, 4.89, 12.93) Global ( 7.57, 4.89, 12.93) +TGeoTessellated 803 Local ( 3.18, 3.34, 13.11) Global ( 3.18, 3.34, 13.11) +TGeoTessellated 804 Local ( 4.79, -6.83, 14.33) Global ( 4.79, -6.83, 14.33) +TGeoTessellated 805 Local ( 3.33, -2.40, 14.03) Global ( 3.33, -2.40, 14.03) +TGeoTessellated 806 Local ( 7.22, -7.25, 13.91) Global ( 7.22, -7.25, 13.91) +TGeoTessellated 807 Local ( 8.52, -6.64, 14.21) Global ( 8.52, -6.64, 14.21) +TGeoTessellated 808 Local ( 11.94, -1.85, 14.40) Global ( 11.94, -1.85, 14.40) +TGeoTessellated 809 Local ( 10.87, 1.64, 13.87) Global ( 10.87, 1.64, 13.87) +TGeoTessellated 810 Local ( 7.62, 2.74, 13.88) Global ( 7.62, 2.74, 13.88) +TGeoTessellated 811 Local ( 4.84, 1.90, 13.94) Global ( 4.84, 1.90, 13.94) +TGeoTessellated 812 Local ( 4.51, -7.35, 12.09) Global ( 4.51, -7.35, 12.09) +TGeoTessellated 813 Local ( 3.59, -2.89, 12.08) Global ( 3.59, -2.89, 12.08) +TGeoTessellated 814 Local ( 7.08, -7.70, 12.08) Global ( 7.08, -7.70, 12.08) +TGeoTessellated 815 Local ( 9.75, -6.94, 12.10) Global ( 9.75, -6.94, 12.10) +TGeoTessellated 816 Local ( 12.54, -2.30, 12.92) Global ( 12.54, -2.30, 12.92) +TGeoTessellated 817 Local ( 11.44, 0.57, 11.71) Global ( 11.44, 0.57, 11.71) +TGeoTessellated 818 Local ( 7.61, 1.83, 10.88) Global ( 7.61, 1.83, 10.88) +TGeoTessellated 819 Local ( 4.89, 0.93, 10.88) Global ( 4.89, 0.93, 10.88) +TGeoTessellated 820 Local ( 12.02, -6.18, 46.66) Global ( 12.02, -6.18, 46.66) +TGeoTessellated 821 Local ( 12.28, 2.09, 44.58) Global ( 12.28, 2.09, 44.58) +TGeoTessellated 822 Local ( 13.93, -6.98, 44.04) Global ( 13.93, -6.98, 44.04) +TGeoTessellated 823 Local ( 11.23, -5.70, 41.27) Global ( 11.23, -5.70, 41.27) +TGeoTessellated 824 Local ( 12.03, -2.03, 40.68) Global ( 12.03, -2.03, 40.68) +TGeoTessellated 825 Local ( 14.25, 0.56, 42.15) Global ( 14.25, 0.56, 42.15) +TGeoTessellated 826 Local ( 16.19, -4.76, 45.42) Global ( 16.19, -4.76, 45.42) +TGeoTessellated 827 Local ( 16.84, -1.79, 44.94) Global ( 16.84, -1.79, 44.94) +TGeoTessellated 828 Local ( 15.27, -7.04, 41.00) Global ( 15.27, -7.04, 41.00) +TGeoTessellated 829 Local ( 12.09, -5.16, 40.00) Global ( 12.09, -5.16, 40.00) +TGeoTessellated 830 Local ( 12.91, -1.82, 41.62) Global ( 12.91, -1.82, 41.62) +TGeoTessellated 831 Local ( 15.50, -1.46, 43.30) Global ( 15.50, -1.46, 43.30) +TGeoTessellated 832 Local ( 17.87, -6.38, 42.65) Global ( 17.87, -6.38, 42.65) +TGeoTessellated 833 Local ( 18.53, -3.67, 43.95) Global ( 18.53, -3.67, 43.95) +TGeoTessellated 834 Local ( 15.85, -7.95, 38.18) Global ( 15.85, -7.95, 38.18) +TGeoTessellated 835 Local ( 10.72, -4.91, 36.58) Global ( 10.72, -4.91, 36.58) +TGeoTessellated 836 Local ( 12.05, 0.55, 39.21) Global ( 12.05, 0.55, 39.21) +TGeoTessellated 837 Local ( 16.23, 1.15, 41.94) Global ( 16.23, 1.15, 41.94) +TGeoTessellated 838 Local ( 20.04, -6.85, 40.85) Global ( 20.04, -6.85, 40.85) +TGeoTessellated 839 Local ( 21.12, -2.43, 42.98) Global ( 21.12, -2.43, 42.98) +TGeoTessellated 840 Local ( 15.84, -7.16, 38.48) Global ( 15.84, -7.16, 38.48) +TGeoTessellated 841 Local ( 11.54, -4.61, 37.15) Global ( 11.54, -4.61, 37.15) +TGeoTessellated 842 Local ( 12.64, -0.14, 39.28) Global ( 12.64, -0.14, 39.28) +TGeoTessellated 843 Local ( 16.15, 0.36, 41.61) Global ( 16.15, 0.36, 41.61) +TGeoTessellated 844 Local ( 19.43, -6.21, 40.78) Global ( 19.43, -6.21, 40.78) +TGeoTessellated 845 Local ( 20.30, -2.67, 42.47) Global ( 20.30, -2.67, 42.47) +TGeoTessellated 846 Local ( 17.15, -5.83, 36.23) Global ( 17.15, -5.83, 36.23) +TGeoTessellated 847 Local ( 13.36, -3.58, 35.07) Global ( 13.36, -3.58, 35.07) +TGeoTessellated 848 Local ( 14.35, 0.40, 36.96) Global ( 14.35, 0.40, 36.96) +TGeoTessellated 849 Local ( 17.42, 1.13, 39.15) Global ( 17.42, 1.13, 39.15) +TGeoTessellated 850 Local ( 20.29, -4.97, 38.26) Global ( 20.29, -4.97, 38.26) +TGeoTessellated 851 Local ( 21.07, -1.82, 39.76) Global ( 21.07, -1.82, 39.76) +TGeoTessellated 852 Local ( 18.73, -3.52, 33.82) Global ( 18.73, -3.52, 33.82) +TGeoTessellated 853 Local ( 16.35, -2.10, 33.09) Global ( 16.35, -2.10, 33.09) +TGeoTessellated 854 Local ( 16.98, 0.45, 34.30) Global ( 16.98, 0.45, 34.30) +TGeoTessellated 855 Local ( 18.32, 0.92, 35.38) Global ( 18.32, 0.92, 35.38) +TGeoTessellated 856 Local ( 20.69, -2.96, 35.10) Global ( 20.69, -2.96, 35.10) +TGeoTessellated 857 Local ( 21.19, -0.94, 36.06) Global ( 21.19, -0.94, 36.06) +TGeoTessellated 858 Local ( 18.85, 1.10, 35.80) Global ( 18.85, 1.10, 35.80) +TGeoTessellated Bounding box: dx= 23.19 dy= 11.66 dz= 35.07 Origin: x= -0.79 y= 0.03 z= 35.12 diff --git a/examples/DDCAD/ref/Ref_Collada_duck.txt b/examples/DDCAD/ref/Ref_Collada_duck.txt new file mode 100644 index 000000000..e2e4a7a4a --- /dev/null +++ b/examples/DDCAD/ref/Ref_Collada_duck.txt @@ -0,0 +1,2111 @@ +ShapeCheck[0] TGeoTessellated 2108 Mesh-points: +TGeoTessellated CAD_Shape N(mesh)=2108 N(vert)=2108 N(seg)=12636 N(pols)=4212 +TGeoTessellated 0 Local ( -23.94, 11.54, 30.61) Global ( -23.94, 11.54, 30.61) +TGeoTessellated 1 Local ( -18.73, 10.11, 26.68) Global ( -18.73, 10.11, 26.68) +TGeoTessellated 2 Local ( -11.46, 10.04, 29.82) Global ( -11.46, 10.04, 29.82) +TGeoTessellated 3 Local ( -15.70, 11.43, 34.23) Global ( -15.70, 11.43, 34.23) +TGeoTessellated 4 Local ( -24.53, 10.11, 22.21) Global ( -24.53, 10.11, 22.21) +TGeoTessellated 5 Local ( -30.52, 11.63, 25.13) Global ( -30.52, 11.63, 25.13) +TGeoTessellated 6 Local ( -35.15, 11.68, 17.72) Global ( -35.15, 11.68, 17.72) +TGeoTessellated 7 Local ( -28.55, 10.18, 15.80) Global ( -28.55, 10.18, 15.80) +TGeoTessellated 8 Local ( -31.11, 10.17, 6.38) Global ( -31.11, 10.17, 6.38) +TGeoTessellated 9 Local ( -37.93, 11.78, 7.00) Global ( -37.93, 11.78, 7.00) +TGeoTessellated 10 Local ( 51.84, 17.71, 36.56) Global ( 51.84, 17.71, 36.56) +TGeoTessellated 11 Local ( 47.77, 14.12, 33.62) Global ( 47.77, 14.12, 33.62) +TGeoTessellated 12 Local ( 61.55, 14.27, 25.21) Global ( 61.55, 14.27, 25.21) +TGeoTessellated 13 Local ( 65.72, 18.37, 27.09) Global ( 65.72, 18.37, 27.09) +TGeoTessellated 14 Local ( 43.69, 11.43, 30.02) Global ( 43.69, 11.43, 30.02) +TGeoTessellated 15 Local ( 56.01, 11.43, 22.70) Global ( 56.01, 11.43, 22.70) +TGeoTessellated 16 Local ( -19.46, 14.31, 37.93) Global ( -19.46, 14.31, 37.93) +TGeoTessellated 17 Local ( -28.65, 14.41, 33.98) Global ( -28.65, 14.41, 33.98) +TGeoTessellated 18 Local ( -36.07, 14.51, 27.68) Global ( -36.07, 14.51, 27.68) +TGeoTessellated 19 Local ( -32.93, 18.56, 36.72) Global ( -32.93, 18.56, 36.72) +TGeoTessellated 20 Local ( -40.92, 18.63, 29.64) Global ( -40.92, 18.63, 29.64) +TGeoTessellated 21 Local ( -23.23, 18.15, 41.04) Global ( -23.23, 18.15, 41.04) +TGeoTessellated 22 Local ( -40.95, 14.64, 19.22) Global ( -40.95, 14.64, 19.22) +TGeoTessellated 23 Local ( -44.17, 14.66, 7.28) Global ( -44.17, 14.66, 7.28) +TGeoTessellated 24 Local ( -46.17, 18.66, 20.52) Global ( -46.17, 18.66, 20.52) +TGeoTessellated 25 Local ( -50.27, 18.39, 7.36) Global ( -50.27, 18.39, 7.36) +TGeoTessellated 26 Local ( 62.45, 11.40, 12.98) Global ( 62.45, 11.40, 12.98) +TGeoTessellated 27 Local ( 68.62, 14.20, 14.08) Global ( 68.62, 14.20, 14.08) +TGeoTessellated 28 Local ( 73.34, 18.35, 14.92) Global ( 73.34, 18.35, 14.92) +TGeoTessellated 29 Local ( 60.23, 28.19, 39.59) Global ( 60.23, 28.19, 39.59) +TGeoTessellated 30 Local ( 55.78, 22.50, 38.55) Global ( 55.78, 22.50, 38.55) +TGeoTessellated 31 Local ( 68.87, 23.41, 28.42) Global ( 68.87, 23.41, 28.42) +TGeoTessellated 32 Local ( 71.30, 29.04, 29.33) Global ( 71.30, 29.04, 29.33) +TGeoTessellated 33 Local ( -27.02, 23.47, 43.04) Global ( -27.02, 23.47, 43.04) +TGeoTessellated 34 Local ( -36.98, 23.74, 38.58) Global ( -36.98, 23.74, 38.58) +TGeoTessellated 35 Local ( -45.23, 23.66, 30.92) Global ( -45.23, 23.66, 30.92) +TGeoTessellated 36 Local ( -41.07, 29.33, 39.48) Global ( -41.07, 29.33, 39.48) +TGeoTessellated 37 Local ( -48.95, 28.94, 31.41) Global ( -48.95, 28.94, 31.41) +TGeoTessellated 38 Local ( -32.97, 29.69, 43.48) Global ( -32.97, 29.69, 43.48) +TGeoTessellated 39 Local ( 76.98, 23.47, 15.57) Global ( 76.98, 23.47, 15.57) +TGeoTessellated 40 Local ( 79.46, 29.19, 16.07) Global ( 79.46, 29.19, 16.07) +TGeoTessellated 41 Local ( 72.89, 35.12, 29.84) Global ( 72.89, 35.12, 29.84) +TGeoTessellated 42 Local ( 63.24, 34.56, 39.83) Global ( 63.24, 34.56, 39.83) +TGeoTessellated 43 Local ( 65.25, 41.40, 39.88) Global ( 65.25, 41.40, 39.88) +TGeoTessellated 44 Local ( 73.81, 41.74, 29.86) Global ( 73.81, 41.74, 29.86) +TGeoTessellated 45 Local ( 80.93, 35.39, 16.41) Global ( 80.93, 35.39, 16.41) +TGeoTessellated 46 Local ( 81.86, 42.11, 16.73) Global ( 81.86, 42.11, 16.73) +TGeoTessellated 47 Local ( 64.63, 55.48, 38.26) Global ( 64.63, 55.48, 38.26) +TGeoTessellated 48 Local ( 66.08, 48.56, 39.24) Global ( 66.08, 48.56, 39.24) +TGeoTessellated 49 Local ( 74.00, 48.53, 29.69) Global ( 74.00, 48.53, 29.69) +TGeoTessellated 50 Local ( 72.66, 55.00, 29.25) Global ( 72.66, 55.00, 29.25) +TGeoTessellated 51 Local ( 81.59, 48.84, 16.96) Global ( 81.59, 48.84, 16.96) +TGeoTessellated 52 Local ( 80.17, 55.19, 16.95) Global ( 80.17, 55.19, 16.95) +TGeoTessellated 53 Local ( 55.52, 67.73, 35.74) Global ( 55.52, 67.73, 35.74) +TGeoTessellated 54 Local ( 61.19, 62.01, 37.29) Global ( 61.19, 62.01, 37.29) +TGeoTessellated 55 Local ( 70.17, 61.02, 28.64) Global ( 70.17, 61.02, 28.64) +TGeoTessellated 56 Local ( 66.58, 66.42, 27.92) Global ( 66.58, 66.42, 27.92) +TGeoTessellated 57 Local ( 77.79, 61.02, 16.76) Global ( 77.79, 61.02, 16.76) +TGeoTessellated 58 Local ( 74.86, 66.33, 16.60) Global ( 74.86, 66.33, 16.60) +TGeoTessellated 59 Local ( 43.50, 75.70, 31.87) Global ( 43.50, 75.70, 31.87) +TGeoTessellated 60 Local ( 48.51, 72.15, 33.90) Global ( 48.51, 72.15, 33.90) +TGeoTessellated 61 Local ( 61.76, 71.04, 26.86) Global ( 61.76, 71.04, 26.86) +TGeoTessellated 62 Local ( 56.93, 75.00, 25.75) Global ( 56.93, 75.00, 25.75) +TGeoTessellated 63 Local ( 71.63, 71.18, 16.67) Global ( 71.63, 71.18, 16.67) +TGeoTessellated 64 Local ( 67.18, 75.45, 16.64) Global ( 67.18, 75.45, 16.64) +TGeoTessellated 65 Local ( -12.12, 74.00, 28.92) Global ( -12.12, 74.00, 28.92) +TGeoTessellated 66 Local ( 1.94, 72.84, 33.88) Global ( 1.94, 72.84, 33.88) +TGeoTessellated 67 Local ( 3.65, 75.91, 30.55) Global ( 3.65, 75.91, 30.55) +TGeoTessellated 68 Local ( -7.40, 76.16, 26.38) Global ( -7.40, 76.16, 26.38) +TGeoTessellated 69 Local ( 5.32, 78.43, 26.96) Global ( 5.32, 78.43, 26.96) +TGeoTessellated 70 Local ( -3.38, 78.06, 23.20) Global ( -3.38, 78.06, 23.20) +TGeoTessellated 71 Local ( 14.83, 76.31, 32.05) Global ( 14.83, 76.31, 32.05) +TGeoTessellated 72 Local ( 14.70, 78.85, 28.89) Global ( 14.70, 78.85, 28.89) +TGeoTessellated 73 Local ( 14.76, 73.87, 35.16) Global ( 14.76, 73.87, 35.16) +TGeoTessellated 74 Local ( -20.95, 75.01, 21.40) Global ( -20.95, 75.01, 21.40) +TGeoTessellated 75 Local ( -14.70, 76.61, 19.72) Global ( -14.70, 76.61, 19.72) +TGeoTessellated 76 Local ( -19.20, 77.81, 7.34) Global ( -19.20, 77.81, 7.34) +TGeoTessellated 77 Local ( -24.78, 78.23, 7.65) Global ( -24.78, 78.23, 7.65) +TGeoTessellated 78 Local ( -9.31, 78.09, 17.66) Global ( -9.31, 78.09, 17.66) +TGeoTessellated 79 Local ( -13.28, 78.28, 6.78) Global ( -13.28, 78.28, 6.78) +TGeoTessellated 80 Local ( 2.33, 81.27, 10.70) Global ( 2.33, 81.27, 10.70) +TGeoTessellated 81 Local ( 0.66, 81.07, 3.99) Global ( 0.66, 81.07, 3.99) +TGeoTessellated 82 Local ( 4.94, 81.43, 15.82) Global ( 4.94, 81.43, 15.82) +TGeoTessellated 83 Local ( -55.31, 81.48, 20.19) Global ( -55.31, 81.48, 20.19) +TGeoTessellated 84 Local ( -49.51, 83.88, 20.77) Global ( -49.51, 83.88, 20.77) +TGeoTessellated 85 Local ( -48.55, 92.27, 9.07) Global ( -48.55, 92.27, 9.07) +TGeoTessellated 86 Local ( -54.73, 89.98, 8.84) Global ( -54.73, 89.98, 8.84) +TGeoTessellated 87 Local ( -44.10, 82.88, 21.08) Global ( -44.10, 82.88, 21.08) +TGeoTessellated 88 Local ( -42.42, 91.53, 9.02) Global ( -42.42, 91.53, 9.02) +TGeoTessellated 89 Local ( -48.40, 77.26, 26.96) Global ( -48.40, 77.26, 26.96) +TGeoTessellated 90 Local ( -44.17, 77.89, 26.13) Global ( -44.17, 77.89, 26.13) +TGeoTessellated 91 Local ( -53.66, 74.74, 26.97) Global ( -53.66, 74.74, 26.97) +TGeoTessellated 92 Local ( -63.83, 69.84, 17.70) Global ( -63.83, 69.84, 17.70) +TGeoTessellated 93 Local ( -60.33, 76.36, 19.06) Global ( -60.33, 76.36, 19.06) +TGeoTessellated 94 Local ( -60.16, 84.41, 8.28) Global ( -60.16, 84.41, 8.28) +TGeoTessellated 95 Local ( -64.76, 73.90, 7.15) Global ( -64.76, 73.90, 7.15) +TGeoTessellated 96 Local ( -58.26, 70.64, 26.42) Global ( -58.26, 70.64, 26.42) +TGeoTessellated 97 Local ( -61.57, 65.70, 25.23) Global ( -61.57, 65.70, 25.23) +TGeoTessellated 98 Local ( -58.15, 60.41, 31.58) Global ( -58.15, 60.41, 31.58) +TGeoTessellated 99 Local ( -54.55, 64.88, 32.92) Global ( -54.55, 64.88, 32.92) +TGeoTessellated 100 Local ( -50.19, 68.78, 33.10) Global ( -50.19, 68.78, 33.10) +TGeoTessellated 101 Local ( -46.40, 55.56, 40.33) Global ( -46.40, 55.56, 40.33) +TGeoTessellated 102 Local ( -42.93, 61.25, 39.45) Global ( -42.93, 61.25, 39.45) +TGeoTessellated 103 Local ( -48.96, 49.26, 39.82) Global ( -48.96, 49.26, 39.82) +TGeoTessellated 104 Local ( -53.56, 46.16, 34.99) Global ( -53.56, 46.16, 34.99) +TGeoTessellated 105 Local ( -60.82, 56.00, 28.57) Global ( -60.82, 56.00, 28.57) +TGeoTessellated 106 Local ( -63.07, 52.73, 24.06) Global ( -63.07, 52.73, 24.06) +TGeoTessellated 107 Local ( -58.37, 43.95, 28.04) Global ( -58.37, 43.95, 28.04) +TGeoTessellated 108 Local ( -63.65, 60.79, 23.37) Global ( -63.65, 60.79, 23.37) +TGeoTessellated 109 Local ( -64.97, 57.27, 21.74) Global ( -64.97, 57.27, 21.74) +TGeoTessellated 110 Local ( -50.64, 23.50, 21.24) Global ( -50.64, 23.50, 21.24) +TGeoTessellated 111 Local ( -55.76, 23.04, 7.73) Global ( -55.76, 23.04, 7.73) +TGeoTessellated 112 Local ( -54.43, 28.54, 21.64) Global ( -54.43, 28.54, 21.64) +TGeoTessellated 113 Local ( -60.11, 28.24, 7.93) Global ( -60.11, 28.24, 7.93) +TGeoTessellated 114 Local ( -4.67, 35.73, 52.22) Global ( -4.67, 35.73, 52.22) +TGeoTessellated 115 Local ( -5.18, 39.36, 52.87) Global ( -5.18, 39.36, 52.87) +TGeoTessellated 116 Local ( -12.42, 39.25, 51.94) Global ( -12.42, 39.25, 51.94) +TGeoTessellated 117 Local ( -10.37, 36.32, 51.83) Global ( -10.37, 36.32, 51.83) +TGeoTessellated 118 Local ( -5.95, 43.39, 53.17) Global ( -5.95, 43.39, 53.17) +TGeoTessellated 119 Local ( -14.26, 43.48, 51.89) Global ( -14.26, 43.48, 51.89) +TGeoTessellated 120 Local ( -45.14, 35.18, 39.08) Global ( -45.14, 35.18, 39.08) +TGeoTessellated 121 Local ( -52.18, 34.10, 31.00) Global ( -52.18, 34.10, 31.00) +TGeoTessellated 122 Local ( -39.36, 37.18, 42.82) Global ( -39.36, 37.18, 42.82) +TGeoTessellated 123 Local ( -57.75, 33.54, 21.51) Global ( -57.75, 33.54, 21.51) +TGeoTessellated 124 Local ( -63.20, 33.36, 7.77) Global ( -63.20, 33.36, 7.77) +TGeoTessellated 125 Local ( -62.48, 42.77, 19.61) Global ( -62.48, 42.77, 19.61) +TGeoTessellated 126 Local ( -66.25, 42.38, 7.59) Global ( -66.25, 42.38, 7.59) +TGeoTessellated 127 Local ( -14.97, 48.10, 51.57) Global ( -14.97, 48.10, 51.57) +TGeoTessellated 128 Local ( -6.34, 47.53, 53.09) Global ( -6.34, 47.53, 53.09) +TGeoTessellated 129 Local ( -6.21, 51.43, 52.47) Global ( -6.21, 51.43, 52.47) +TGeoTessellated 130 Local ( -14.50, 52.27, 51.05) Global ( -14.50, 52.27, 51.05) +TGeoTessellated 131 Local ( -13.22, 68.16, 38.55) Global ( -13.22, 68.16, 38.55) +TGeoTessellated 132 Local ( -24.16, 66.80, 39.63) Global ( -24.16, 66.80, 39.63) +TGeoTessellated 133 Local ( -21.10, 64.58, 41.71) Global ( -21.10, 64.58, 41.71) +TGeoTessellated 134 Local ( -10.61, 65.58, 41.27) Global ( -10.61, 65.58, 41.27) +TGeoTessellated 135 Local ( -29.20, 79.66, 8.09) Global ( -29.20, 79.66, 8.09) +TGeoTessellated 136 Local ( -27.55, 73.69, 22.89) Global ( -27.55, 73.69, 22.89) +TGeoTessellated 137 Local ( -20.84, 71.93, 31.59) Global ( -20.84, 71.93, 31.59) +TGeoTessellated 138 Local ( -34.08, 73.66, 23.17) Global ( -34.08, 73.66, 23.17) +TGeoTessellated 139 Local ( -31.80, 70.84, 33.44) Global ( -31.80, 70.84, 33.44) +TGeoTessellated 140 Local ( -33.12, 82.33, 8.62) Global ( -33.12, 82.33, 8.62) +TGeoTessellated 141 Local ( 34.12, 80.57, 26.65) Global ( 34.12, 80.57, 26.65) +TGeoTessellated 142 Local ( 39.09, 77.65, 29.50) Global ( 39.09, 77.65, 29.50) +TGeoTessellated 143 Local ( 52.29, 78.29, 24.30) Global ( 52.29, 78.29, 24.30) +TGeoTessellated 144 Local ( 48.25, 81.08, 22.33) Global ( 48.25, 81.08, 22.33) +TGeoTessellated 145 Local ( 28.68, 75.05, 34.74) Global ( 28.68, 75.05, 34.74) +TGeoTessellated 146 Local ( 26.62, 76.96, 31.91) Global ( 26.62, 76.96, 31.91) +TGeoTessellated 147 Local ( 24.53, 79.42, 29.10) Global ( 24.53, 79.42, 29.10) +TGeoTessellated 148 Local ( 62.59, 78.86, 16.12) Global ( 62.59, 78.86, 16.12) +TGeoTessellated 149 Local ( 58.25, 81.65, 14.94) Global ( 58.25, 81.65, 14.94) +TGeoTessellated 150 Local ( 8.76, 81.56, 20.24) Global ( 8.76, 81.56, 20.24) +TGeoTessellated 151 Local ( 15.55, 81.38, 24.42) Global ( 15.55, 81.38, 24.42) +TGeoTessellated 152 Local ( -40.06, 73.31, 29.02) Global ( -40.06, 73.31, 29.02) +TGeoTessellated 153 Local ( -39.39, 77.91, 22.26) Global ( -39.39, 77.91, 22.26) +TGeoTessellated 154 Local ( -37.11, 88.18, 8.91) Global ( -37.11, 88.18, 8.91) +TGeoTessellated 155 Local ( -65.59, 51.67, 17.26) Global ( -65.59, 51.67, 17.26) +TGeoTessellated 156 Local ( -68.00, 51.58, 7.15) Global ( -68.00, 51.58, 7.15) +TGeoTessellated 157 Local ( -66.25, 57.77, 16.01) Global ( -66.25, 57.77, 16.01) +TGeoTessellated 158 Local ( -67.98, 58.51, 7.00) Global ( -67.98, 58.51, 7.00) +TGeoTessellated 159 Local ( -44.83, 71.33, 32.12) Global ( -44.83, 71.33, 32.12) +TGeoTessellated 160 Local ( -38.08, 66.61, 37.64) Global ( -38.08, 66.61, 37.64) +TGeoTessellated 161 Local ( -65.57, 63.55, 16.56) Global ( -65.57, 63.55, 16.56) +TGeoTessellated 162 Local ( -66.91, 65.62, 7.08) Global ( -66.91, 65.62, 7.08) +TGeoTessellated 163 Local ( 55.17, 83.73, 13.22) Global ( 55.17, 83.73, 13.22) +TGeoTessellated 164 Local ( 46.14, 83.29, 20.06) Global ( 46.14, 83.29, 20.06) +TGeoTessellated 165 Local ( 53.37, 85.56, 12.37) Global ( 53.37, 85.56, 12.37) +TGeoTessellated 166 Local ( 44.87, 85.20, 18.76) Global ( 44.87, 85.20, 18.76) +TGeoTessellated 167 Local ( 24.40, 81.24, 26.41) Global ( 24.40, 81.24, 26.41) +TGeoTessellated 168 Local ( 25.31, 83.16, 23.78) Global ( 25.31, 83.16, 23.78) +TGeoTessellated 169 Local ( 17.55, 83.23, 21.66) Global ( 17.55, 83.23, 21.66) +TGeoTessellated 170 Local ( 26.06, 84.94, 22.33) Global ( 26.06, 84.94, 22.33) +TGeoTessellated 171 Local ( 19.05, 85.01, 20.47) Global ( 19.05, 85.01, 20.47) +TGeoTessellated 172 Local ( 35.20, 83.04, 23.51) Global ( 35.20, 83.04, 23.51) +TGeoTessellated 173 Local ( 35.26, 84.98, 22.01) Global ( 35.26, 84.98, 22.01) +TGeoTessellated 174 Local ( 12.12, 83.24, 18.08) Global ( 12.12, 83.24, 18.08) +TGeoTessellated 175 Local ( 8.65, 83.15, 13.71) Global ( 8.65, 83.15, 13.71) +TGeoTessellated 176 Local ( 13.86, 85.02, 17.28) Global ( 13.86, 85.02, 17.28) +TGeoTessellated 177 Local ( 10.22, 84.96, 13.14) Global ( 10.22, 84.96, 13.14) +TGeoTessellated 178 Local ( 39.27, 10.00, 25.99) Global ( 39.27, 10.00, 25.99) +TGeoTessellated 179 Local ( 49.74, 10.00, 19.71) Global ( 49.74, 10.00, 19.71) +TGeoTessellated 180 Local ( 14.62, 10.01, 31.80) Global ( 14.62, 10.01, 31.80) +TGeoTessellated 181 Local ( 25.96, 10.03, 30.04) Global ( 25.96, 10.03, 30.04) +TGeoTessellated 182 Local ( 28.21, 11.43, 34.58) Global ( 28.21, 11.43, 34.58) +TGeoTessellated 183 Local ( 15.18, 11.41, 36.42) Global ( 15.18, 11.41, 36.42) +TGeoTessellated 184 Local ( -0.68, 10.02, 31.83) Global ( -0.68, 10.02, 31.83) +TGeoTessellated 185 Local ( -2.70, 11.34, 36.47) Global ( -2.70, 11.34, 36.47) +TGeoTessellated 186 Local ( 55.18, 10.03, 11.42) Global ( 55.18, 10.03, 11.42) +TGeoTessellated 187 Local ( 30.53, 14.10, 38.22) Global ( 30.53, 14.10, 38.22) +TGeoTessellated 188 Local ( 16.13, 13.98, 40.22) Global ( 16.13, 13.98, 40.22) +TGeoTessellated 189 Local ( 33.08, 17.73, 41.38) Global ( 33.08, 17.73, 41.38) +TGeoTessellated 190 Local ( 17.30, 17.37, 43.30) Global ( 17.30, 17.37, 43.30) +TGeoTessellated 191 Local ( -5.22, 14.08, 40.25) Global ( -5.22, 14.08, 40.25) +TGeoTessellated 192 Local ( -8.32, 17.87, 43.37) Global ( -8.32, 17.87, 43.37) +TGeoTessellated 193 Local ( 18.92, 36.20, 52.59) Global ( 18.92, 36.20, 52.59) +TGeoTessellated 194 Local ( 18.46, 39.99, 53.30) Global ( 18.46, 39.99, 53.30) +TGeoTessellated 195 Local ( 10.60, 39.65, 53.43) Global ( 10.60, 39.65, 53.43) +TGeoTessellated 196 Local ( 11.22, 35.62, 52.60) Global ( 11.22, 35.62, 52.60) +TGeoTessellated 197 Local ( 18.25, 44.31, 53.80) Global ( 18.25, 44.31, 53.80) +TGeoTessellated 198 Local ( 10.15, 43.83, 53.93) Global ( 10.15, 43.83, 53.93) +TGeoTessellated 199 Local ( 25.95, 40.00, 52.77) Global ( 25.95, 40.00, 52.77) +TGeoTessellated 200 Local ( 27.02, 44.56, 52.88) Global ( 27.02, 44.56, 52.88) +TGeoTessellated 201 Local ( 24.57, 36.92, 52.47) Global ( 24.57, 36.92, 52.47) +TGeoTessellated 202 Local ( 17.69, 48.99, 53.82) Global ( 17.69, 48.99, 53.82) +TGeoTessellated 203 Local ( 9.74, 48.09, 53.88) Global ( 9.74, 48.09, 53.88) +TGeoTessellated 204 Local ( 16.92, 53.60, 53.29) Global ( 16.92, 53.60, 53.29) +TGeoTessellated 205 Local ( 9.35, 52.18, 53.51) Global ( 9.35, 52.18, 53.51) +TGeoTessellated 206 Local ( 26.87, 49.87, 52.70) Global ( 26.87, 49.87, 52.70) +TGeoTessellated 207 Local ( 25.44, 55.09, 52.07) Global ( 25.44, 55.09, 52.07) +TGeoTessellated 208 Local ( 16.14, 57.60, 52.32) Global ( 16.14, 57.60, 52.32) +TGeoTessellated 209 Local ( 9.13, 55.87, 52.72) Global ( 9.13, 55.87, 52.72) +TGeoTessellated 210 Local ( 15.98, 60.87, 50.85) Global ( 15.98, 60.87, 50.85) +TGeoTessellated 211 Local ( 9.23, 59.26, 51.21) Global ( 9.23, 59.26, 51.21) +TGeoTessellated 212 Local ( 23.24, 59.21, 51.20) Global ( 23.24, 59.21, 51.20) +TGeoTessellated 213 Local ( 21.28, 61.64, 50.39) Global ( 21.28, 61.64, 50.39) +TGeoTessellated 214 Local ( 15.20, 70.93, 38.49) Global ( 15.20, 70.93, 38.49) +TGeoTessellated 215 Local ( 32.26, 71.41, 37.97) Global ( 32.26, 71.41, 37.97) +TGeoTessellated 216 Local ( 43.86, 67.79, 39.87) Global ( 43.86, 67.79, 39.87) +TGeoTessellated 217 Local ( 51.44, 62.68, 41.46) Global ( 51.44, 62.68, 41.46) +TGeoTessellated 218 Local ( 55.98, 56.16, 42.78) Global ( 55.98, 56.16, 42.78) +TGeoTessellated 219 Local ( 57.64, 48.92, 43.84) Global ( 57.64, 48.92, 43.84) +TGeoTessellated 220 Local ( 56.42, 41.76, 44.44) Global ( 56.42, 41.76, 44.44) +TGeoTessellated 221 Local ( 52.92, 35.06, 44.58) Global ( 52.92, 35.06, 44.58) +TGeoTessellated 222 Local ( 46.96, 29.01, 44.24) Global ( 46.96, 29.01, 44.24) +TGeoTessellated 223 Local ( 36.22, 23.15, 43.91) Global ( 36.22, 23.15, 43.91) +TGeoTessellated 224 Local ( 18.04, 21.34, 45.42) Global ( 18.04, 21.34, 45.42) +TGeoTessellated 225 Local ( -13.07, 23.55, 45.65) Global ( -13.07, 23.55, 45.65) +TGeoTessellated 226 Local ( -24.26, 29.76, 46.47) Global ( -24.26, 29.76, 46.47) +TGeoTessellated 227 Local ( -31.77, 36.62, 45.78) Global ( -31.77, 36.62, 45.78) +TGeoTessellated 228 Local ( -37.13, 44.65, 44.43) Global ( -37.13, 44.65, 44.43) +TGeoTessellated 229 Local ( -37.83, 51.57, 43.69) Global ( -37.83, 51.57, 43.69) +TGeoTessellated 230 Local ( -35.87, 57.90, 42.73) Global ( -35.87, 57.90, 42.73) +TGeoTessellated 231 Local ( -31.47, 63.29, 41.29) Global ( -31.47, 63.29, 41.29) +TGeoTessellated 232 Local ( -5.74, 54.68, 51.82) Global ( -5.74, 54.68, 51.82) +TGeoTessellated 233 Local ( -12.93, 55.44, 50.66) Global ( -12.93, 55.44, 50.66) +TGeoTessellated 234 Local ( -5.55, 57.47, 50.65) Global ( -5.55, 57.47, 50.65) +TGeoTessellated 235 Local ( -11.06, 57.33, 50.30) Global ( -11.06, 57.33, 50.30) +TGeoTessellated 236 Local ( 1.38, 69.26, 38.59) Global ( 1.38, 69.26, 38.59) +TGeoTessellated 237 Local ( -27.95, 36.47, 46.64) Global ( -27.95, 36.47, 46.64) +TGeoTessellated 238 Local ( -32.01, 43.32, 45.76) Global ( -32.01, 43.32, 45.76) +TGeoTessellated 239 Local ( -23.85, 36.65, 48.76) Global ( -23.85, 36.65, 48.76) +TGeoTessellated 240 Local ( -27.30, 42.89, 48.07) Global ( -27.30, 42.89, 48.07) +TGeoTessellated 241 Local ( -29.81, 42.97, 46.54) Global ( -29.81, 42.97, 46.54) +TGeoTessellated 242 Local ( -25.96, 36.56, 47.28) Global ( -25.96, 36.56, 47.28) +TGeoTessellated 243 Local ( -16.44, 32.22, 49.31) Global ( -16.44, 32.22, 49.31) +TGeoTessellated 244 Local ( -18.66, 31.18, 47.83) Global ( -18.66, 31.18, 47.83) +TGeoTessellated 245 Local ( -20.60, 30.61, 47.06) Global ( -20.60, 30.61, 47.06) +TGeoTessellated 246 Local ( -33.33, 50.13, 44.86) Global ( -33.33, 50.13, 44.86) +TGeoTessellated 247 Local ( -32.14, 56.49, 43.83) Global ( -32.14, 56.49, 43.83) +TGeoTessellated 248 Local ( -28.75, 49.27, 47.29) Global ( -28.75, 49.27, 47.29) +TGeoTessellated 249 Local ( -27.89, 55.04, 46.52) Global ( -27.89, 55.04, 46.52) +TGeoTessellated 250 Local ( -30.27, 55.84, 44.70) Global ( -30.27, 55.84, 44.70) +TGeoTessellated 251 Local ( -31.27, 49.65, 45.66) Global ( -31.27, 49.65, 45.66) +TGeoTessellated 252 Local ( 29.93, 25.90, 46.52) Global ( 29.93, 25.90, 46.52) +TGeoTessellated 253 Local ( 16.40, 23.93, 47.06) Global ( 16.40, 23.93, 47.06) +TGeoTessellated 254 Local ( 23.96, 29.55, 49.91) Global ( 23.96, 29.55, 49.91) +TGeoTessellated 255 Local ( 13.63, 28.06, 50.00) Global ( 13.63, 28.06, 50.00) +TGeoTessellated 256 Local ( 14.95, 25.71, 48.39) Global ( 14.95, 25.71, 48.39) +TGeoTessellated 257 Local ( 26.75, 27.51, 48.12) Global ( 26.75, 27.51, 48.12) +TGeoTessellated 258 Local ( 32.39, 32.72, 49.87) Global ( 32.39, 32.72, 49.87) +TGeoTessellated 259 Local ( 36.29, 31.22, 48.06) Global ( 36.29, 31.22, 48.06) +TGeoTessellated 260 Local ( 40.11, 30.27, 46.51) Global ( 40.11, 30.27, 46.51) +TGeoTessellated 261 Local ( -9.84, 26.13, 47.15) Global ( -9.84, 26.13, 47.15) +TGeoTessellated 262 Local ( -7.16, 29.40, 49.71) Global ( -7.16, 29.40, 49.71) +TGeoTessellated 263 Local ( -8.43, 27.46, 48.23) Global ( -8.43, 27.46, 48.23) +TGeoTessellated 264 Local ( 46.82, 35.82, 46.58) Global ( 46.82, 35.82, 46.58) +TGeoTessellated 265 Local ( 38.16, 37.51, 49.78) Global ( 38.16, 37.51, 49.78) +TGeoTessellated 266 Local ( 42.66, 36.52, 48.06) Global ( 42.66, 36.52, 48.06) +TGeoTessellated 267 Local ( 41.39, 43.44, 49.47) Global ( 41.39, 43.44, 49.47) +TGeoTessellated 268 Local ( 46.51, 42.78, 47.79) Global ( 46.51, 42.78, 47.79) +TGeoTessellated 269 Local ( 50.78, 42.28, 46.35) Global ( 50.78, 42.28, 46.35) +TGeoTessellated 270 Local ( 52.06, 49.31, 45.77) Global ( 52.06, 49.31, 45.77) +TGeoTessellated 271 Local ( 42.27, 49.91, 48.88) Global ( 42.27, 49.91, 48.88) +TGeoTessellated 272 Local ( 47.73, 49.64, 47.18) Global ( 47.73, 49.64, 47.18) +TGeoTessellated 273 Local ( 40.47, 56.34, 48.03) Global ( 40.47, 56.34, 48.03) +TGeoTessellated 274 Local ( 45.66, 56.47, 46.26) Global ( 45.66, 56.47, 46.26) +TGeoTessellated 275 Local ( 50.13, 56.40, 44.76) Global ( 50.13, 56.40, 44.76) +TGeoTessellated 276 Local ( 26.49, 69.26, 41.30) Global ( 26.49, 69.26, 41.30) +TGeoTessellated 277 Local ( 37.12, 66.94, 42.35) Global ( 37.12, 66.94, 42.35) +TGeoTessellated 278 Local ( 20.51, 66.24, 45.90) Global ( 20.51, 66.24, 45.90) +TGeoTessellated 279 Local ( 28.97, 65.04, 46.39) Global ( 28.97, 65.04, 46.39) +TGeoTessellated 280 Local ( 32.85, 66.17, 44.30) Global ( 32.85, 66.17, 44.30) +TGeoTessellated 281 Local ( 23.21, 67.81, 43.55) Global ( 23.21, 67.81, 43.55) +TGeoTessellated 282 Local ( 11.05, 65.66, 45.69) Global ( 11.05, 65.66, 45.69) +TGeoTessellated 283 Local ( 12.36, 67.26, 43.22) Global ( 12.36, 67.26, 43.22) +TGeoTessellated 284 Local ( 13.71, 68.77, 41.11) Global ( 13.71, 68.77, 41.11) +TGeoTessellated 285 Local ( 45.06, 62.56, 43.56) Global ( 45.06, 62.56, 43.56) +TGeoTessellated 286 Local ( 35.83, 61.69, 47.14) Global ( 35.83, 61.69, 47.14) +TGeoTessellated 287 Local ( 40.56, 62.25, 45.24) Global ( 40.56, 62.25, 45.24) +TGeoTessellated 288 Local ( -28.27, 61.60, 42.68) Global ( -28.27, 61.60, 42.68) +TGeoTessellated 289 Local ( -24.70, 59.53, 45.89) Global ( -24.70, 59.53, 45.89) +TGeoTessellated 290 Local ( -18.58, 62.39, 45.60) Global ( -18.58, 62.39, 45.60) +TGeoTessellated 291 Local ( -20.18, 63.84, 42.60) Global ( -20.18, 63.84, 42.60) +TGeoTessellated 292 Local ( -26.75, 60.75, 43.67) Global ( -26.75, 60.75, 43.67) +TGeoTessellated 293 Local ( -8.96, 63.26, 45.58) Global ( -8.96, 63.26, 45.58) +TGeoTessellated 294 Local ( -9.81, 64.58, 42.53) Global ( -9.81, 64.58, 42.53) +TGeoTessellated 295 Local ( 1.32, 64.15, 45.66) Global ( 1.32, 64.15, 45.66) +TGeoTessellated 296 Local ( 1.56, 65.45, 43.03) Global ( 1.56, 65.45, 43.03) +TGeoTessellated 297 Local ( -22.39, 43.33, 49.85) Global ( -22.39, 43.33, 49.85) +TGeoTessellated 298 Local ( -19.15, 38.15, 50.40) Global ( -19.15, 38.15, 50.40) +TGeoTessellated 299 Local ( -13.34, 34.45, 50.77) Global ( -13.34, 34.45, 50.77) +TGeoTessellated 300 Local ( -22.83, 53.82, 48.60) Global ( -22.83, 53.82, 48.60) +TGeoTessellated 301 Local ( -23.66, 48.88, 49.22) Global ( -23.66, 48.88, 49.22) +TGeoTessellated 302 Local ( 12.30, 31.64, 51.47) Global ( 12.30, 31.64, 51.47) +TGeoTessellated 303 Local ( 21.10, 32.74, 51.48) Global ( 21.10, 32.74, 51.48) +TGeoTessellated 304 Local ( 28.20, 34.97, 51.49) Global ( 28.20, 34.97, 51.49) +TGeoTessellated 305 Local ( -5.70, 32.44, 51.11) Global ( -5.70, 32.44, 51.11) +TGeoTessellated 306 Local ( 32.43, 38.97, 51.46) Global ( 32.43, 38.97, 51.46) +TGeoTessellated 307 Local ( 34.93, 44.16, 51.26) Global ( 34.93, 44.16, 51.26) +TGeoTessellated 308 Local ( 35.25, 50.04, 50.78) Global ( 35.25, 50.04, 50.78) +TGeoTessellated 309 Local ( 33.73, 55.90, 50.05) Global ( 33.73, 55.90, 50.05) +TGeoTessellated 310 Local ( 24.85, 63.37, 48.61) Global ( 24.85, 63.37, 48.61) +TGeoTessellated 311 Local ( 17.92, 63.78, 48.44) Global ( 17.92, 63.78, 48.44) +TGeoTessellated 312 Local ( 9.96, 62.89, 48.40) Global ( 9.96, 62.89, 48.40) +TGeoTessellated 313 Local ( 30.02, 60.60, 49.25) Global ( 30.02, 60.60, 49.25) +TGeoTessellated 314 Local ( -15.02, 59.75, 48.01) Global ( -15.02, 59.75, 48.01) +TGeoTessellated 315 Local ( -20.42, 57.64, 48.13) Global ( -20.42, 57.64, 48.13) +TGeoTessellated 316 Local ( -7.11, 60.55, 48.21) Global ( -7.11, 60.55, 48.21) +TGeoTessellated 317 Local ( 1.52, 61.50, 48.36) Global ( 1.52, 61.50, 48.36) +TGeoTessellated 318 Local ( 1.77, 58.02, 51.01) Global ( 1.77, 58.02, 51.01) +TGeoTessellated 319 Local ( 1.70, 54.83, 52.48) Global ( 1.70, 54.83, 52.48) +TGeoTessellated 320 Local ( 1.64, 51.39, 53.30) Global ( 1.64, 51.39, 53.30) +TGeoTessellated 321 Local ( 1.76, 47.52, 53.79) Global ( 1.76, 47.52, 53.79) +TGeoTessellated 322 Local ( 2.11, 43.44, 53.83) Global ( 2.11, 43.44, 53.83) +TGeoTessellated 323 Local ( 2.61, 39.40, 53.30) Global ( 2.61, 39.40, 53.30) +TGeoTessellated 324 Local ( 3.03, 35.46, 52.47) Global ( 3.03, 35.46, 52.47) +TGeoTessellated 325 Local ( 3.11, 31.64, 51.33) Global ( 3.11, 31.64, 51.33) +TGeoTessellated 326 Local ( 3.08, 28.23, 49.94) Global ( 3.08, 28.23, 49.94) +TGeoTessellated 327 Local ( 3.09, 25.90, 48.48) Global ( 3.09, 25.90, 48.48) +TGeoTessellated 328 Local ( 3.12, 24.06, 47.28) Global ( 3.12, 24.06, 47.28) +TGeoTessellated 329 Local ( 3.03, 21.45, 45.90) Global ( 3.03, 21.45, 45.90) +TGeoTessellated 330 Local ( 4.08, 17.39, 43.94) Global ( 4.08, 17.39, 43.94) +TGeoTessellated 331 Local ( 4.48, 13.92, 40.96) Global ( 4.48, 13.92, 40.96) +TGeoTessellated 332 Local ( 4.63, 11.35, 37.06) Global ( 4.63, 11.35, 37.06) +TGeoTessellated 333 Local ( 4.96, 10.00, 32.39) Global ( 4.96, 10.00, 32.39) +TGeoTessellated 334 Local ( 70.64, 14.39, 2.93) Global ( 70.64, 14.39, 2.93) +TGeoTessellated 335 Local ( 75.83, 18.39, 2.94) Global ( 75.83, 18.39, 2.94) +TGeoTessellated 336 Local ( 64.28, 11.66, 2.66) Global ( 64.28, 11.66, 2.66) +TGeoTessellated 337 Local ( 79.94, 23.41, 2.94) Global ( 79.94, 23.41, 2.94) +TGeoTessellated 338 Local ( 82.81, 29.14, 2.94) Global ( 82.81, 29.14, 2.94) +TGeoTessellated 339 Local ( 84.58, 35.35, 2.94) Global ( 84.58, 35.35, 2.94) +TGeoTessellated 340 Local ( 85.87, 42.14, 2.94) Global ( 85.87, 42.14, 2.94) +TGeoTessellated 341 Local ( 85.96, 48.86, 3.26) Global ( 85.96, 48.86, 3.26) +TGeoTessellated 342 Local ( 84.91, 55.21, 3.26) Global ( 84.91, 55.21, 3.26) +TGeoTessellated 343 Local ( 82.83, 61.02, 3.26) Global ( 82.83, 61.02, 3.26) +TGeoTessellated 344 Local ( 79.94, 66.20, 3.26) Global ( 79.94, 66.20, 3.26) +TGeoTessellated 345 Local ( 76.75, 71.34, 3.26) Global ( 76.75, 71.34, 3.26) +TGeoTessellated 346 Local ( 72.92, 75.66, 3.12) Global ( 72.92, 75.66, 3.12) +TGeoTessellated 347 Local ( 69.01, 79.15, 3.01) Global ( 69.01, 79.15, 3.01) +TGeoTessellated 348 Local ( 64.96, 82.12, 2.89) Global ( 64.96, 82.12, 2.89) +TGeoTessellated 349 Local ( 61.56, 84.21, 2.52) Global ( 61.56, 84.21, 2.52) +TGeoTessellated 350 Local ( 59.15, 85.83, 2.12) Global ( 59.15, 85.83, 2.12) +TGeoTessellated 351 Local ( 57.08, 10.15, 2.29) Global ( 57.08, 10.15, 2.29) +TGeoTessellated 352 Local ( 6.64, 83.07, 8.64) Global ( 6.64, 83.07, 8.64) +TGeoTessellated 353 Local ( 5.66, 83.02, 2.97) Global ( 5.66, 83.02, 2.97) +TGeoTessellated 354 Local ( 7.92, 84.75, 8.18) Global ( 7.92, 84.75, 8.18) +TGeoTessellated 355 Local ( 6.73, 84.53, 2.84) Global ( 6.73, 84.53, 2.84) +TGeoTessellated 356 Local ( 10.35, 87.40, 13.99) Global ( 10.35, 87.40, 13.99) +TGeoTessellated 357 Local ( 7.67, 86.76, 8.64) Global ( 7.67, 86.76, 8.64) +TGeoTessellated 358 Local ( 6.17, 86.35, 3.34) Global ( 6.17, 86.35, 3.34) +TGeoTessellated 359 Local ( 5.99, 89.57, 10.11) Global ( 5.99, 89.57, 10.11) +TGeoTessellated 360 Local ( 4.33, 88.70, 4.58) Global ( 4.33, 88.70, 4.58) +TGeoTessellated 361 Local ( 9.23, 91.54, 17.10) Global ( 9.23, 91.54, 17.10) +TGeoTessellated 362 Local ( 19.52, 87.10, 20.65) Global ( 19.52, 87.10, 20.65) +TGeoTessellated 363 Local ( 14.40, 87.27, 17.87) Global ( 14.40, 87.27, 17.87) +TGeoTessellated 364 Local ( 14.53, 90.47, 20.58) Global ( 14.53, 90.47, 20.58) +TGeoTessellated 365 Local ( 19.57, 89.72, 22.49) Global ( 19.57, 89.72, 22.49) +TGeoTessellated 366 Local ( 26.21, 86.94, 22.17) Global ( 26.21, 86.94, 22.17) +TGeoTessellated 367 Local ( 25.84, 89.32, 23.56) Global ( 25.84, 89.32, 23.56) +TGeoTessellated 368 Local ( 35.03, 86.95, 21.92) Global ( 35.03, 86.95, 21.92) +TGeoTessellated 369 Local ( 35.02, 89.39, 23.37) Global ( 35.02, 89.39, 23.37) +TGeoTessellated 370 Local ( 44.43, 87.17, 18.66) Global ( 44.43, 87.17, 18.66) +TGeoTessellated 371 Local ( 45.06, 89.42, 19.82) Global ( 45.06, 89.42, 19.82) +TGeoTessellated 372 Local ( 52.85, 87.52, 12.33) Global ( 52.85, 87.52, 12.33) +TGeoTessellated 373 Local ( 54.15, 90.20, 13.14) Global ( 54.15, 90.20, 13.14) +TGeoTessellated 374 Local ( 58.58, 87.60, 2.23) Global ( 58.58, 87.60, 2.23) +TGeoTessellated 375 Local ( 59.10, 90.03, 3.38) Global ( 59.10, 90.03, 3.38) +TGeoTessellated 376 Local ( 1.58, 66.81, 41.24) Global ( 1.58, 66.81, 41.24) +TGeoTessellated 377 Local ( -38.80, 11.69, -1.94) Global ( -38.80, 11.69, -1.94) +TGeoTessellated 378 Local ( -31.80, 10.09, -1.97) Global ( -31.80, 10.09, -1.97) +TGeoTessellated 379 Local ( -45.25, 14.54, -1.98) Global ( -45.25, 14.54, -1.98) +TGeoTessellated 380 Local ( -51.56, 18.20, -2.11) Global ( -51.56, 18.20, -2.11) +TGeoTessellated 381 Local ( 70.78, 14.23, -10.51) Global ( 70.78, 14.23, -10.51) +TGeoTessellated 382 Local ( 75.93, 18.27, -10.62) Global ( 75.93, 18.27, -10.62) +TGeoTessellated 383 Local ( 64.37, 11.53, -10.13) Global ( 64.37, 11.53, -10.13) +TGeoTessellated 384 Local ( 79.94, 23.36, -10.64) Global ( 79.94, 23.36, -10.64) +TGeoTessellated 385 Local ( 82.70, 29.13, -10.75) Global ( 82.70, 29.13, -10.75) +TGeoTessellated 386 Local ( 84.37, 35.37, -11.07) Global ( 84.37, 35.37, -11.07) +TGeoTessellated 387 Local ( 85.61, 42.14, -11.53) Global ( 85.61, 42.14, -11.53) +TGeoTessellated 388 Local ( 85.80, 48.93, -12.03) Global ( 85.80, 48.93, -12.03) +TGeoTessellated 389 Local ( 84.79, 55.35, -12.41) Global ( 84.79, 55.35, -12.41) +TGeoTessellated 390 Local ( 82.71, 61.21, -12.69) Global ( 82.71, 61.21, -12.69) +TGeoTessellated 391 Local ( 79.63, 66.40, -12.92) Global ( 79.63, 66.40, -12.92) +TGeoTessellated 392 Local ( 76.02, 71.43, -13.39) Global ( 76.02, 71.43, -13.39) +TGeoTessellated 393 Local ( 71.67, 75.63, -12.71) Global ( 71.67, 75.63, -12.71) +TGeoTessellated 394 Local ( -25.02, 78.69, -1.82) Global ( -25.02, 78.69, -1.82) +TGeoTessellated 395 Local ( -19.73, 77.90, -1.94) Global ( -19.73, 77.90, -1.94) +TGeoTessellated 396 Local ( -20.26, 77.99, -11.22) Global ( -20.26, 77.99, -11.22) +TGeoTessellated 397 Local ( -25.26, 79.15, -11.30) Global ( -25.26, 79.15, -11.30) +TGeoTessellated 398 Local ( -13.82, 78.32, -1.90) Global ( -13.82, 78.32, -1.90) +TGeoTessellated 399 Local ( -14.36, 78.37, -10.58) Global ( -14.36, 78.37, -10.58) +TGeoTessellated 400 Local ( 0.60, 81.10, -1.11) Global ( 0.60, 81.10, -1.11) +TGeoTessellated 401 Local ( 0.54, 81.12, -6.22) Global ( 0.54, 81.12, -6.22) +TGeoTessellated 402 Local ( -48.97, 94.38, -3.43) Global ( -48.97, 94.38, -3.43) +TGeoTessellated 403 Local ( -55.45, 92.48, -3.39) Global ( -55.45, 92.48, -3.39) +TGeoTessellated 404 Local ( -43.19, 92.02, -14.97) Global ( -43.19, 92.02, -14.97) +TGeoTessellated 405 Local ( -49.38, 92.98, -15.32) Global ( -49.38, 92.98, -15.32) +TGeoTessellated 406 Local ( -42.74, 92.75, -3.24) Global ( -42.74, 92.75, -3.24) +TGeoTessellated 407 Local ( -61.63, 86.68, -2.96) Global ( -61.63, 86.68, -2.96) +TGeoTessellated 408 Local ( -66.31, 75.48, -2.12) Global ( -66.31, 75.48, -2.12) +TGeoTessellated 409 Local ( -56.84, 22.92, -2.04) Global ( -56.84, 22.92, -2.04) +TGeoTessellated 410 Local ( -64.35, 34.25, -11.17) Global ( -64.35, 34.25, -11.17) +TGeoTessellated 411 Local ( -61.04, 28.05, -11.31) Global ( -61.04, 28.05, -11.31) +TGeoTessellated 412 Local ( -61.33, 28.17, -2.00) Global ( -61.33, 28.17, -2.00) +TGeoTessellated 413 Local ( -64.68, 34.16, -1.93) Global ( -64.68, 34.16, -1.93) +TGeoTessellated 414 Local ( -32.86, 83.51, -1.95) Global ( -32.86, 83.51, -1.95) +TGeoTessellated 415 Local ( -29.17, 80.37, -1.68) Global ( -29.17, 80.37, -1.68) +TGeoTessellated 416 Local ( -29.13, 81.09, -11.44) Global ( -29.13, 81.09, -11.44) +TGeoTessellated 417 Local ( -32.61, 84.69, -12.53) Global ( -32.61, 84.69, -12.53) +TGeoTessellated 418 Local ( 67.58, 79.11, -12.27) Global ( 67.58, 79.11, -12.27) +TGeoTessellated 419 Local ( 63.49, 82.01, -11.54) Global ( 63.49, 82.01, -11.54) +TGeoTessellated 420 Local ( -37.14, 88.95, -2.98) Global ( -37.14, 88.95, -2.98) +TGeoTessellated 421 Local ( -37.32, 89.30, -14.53) Global ( -37.32, 89.30, -14.53) +TGeoTessellated 422 Local ( -69.30, 52.04, -1.98) Global ( -69.30, 52.04, -1.98) +TGeoTessellated 423 Local ( -67.72, 42.68, -1.89) Global ( -67.72, 42.68, -1.89) +TGeoTessellated 424 Local ( -69.08, 59.07, -1.99) Global ( -69.08, 59.07, -1.99) +TGeoTessellated 425 Local ( -68.01, 66.59, -1.96) Global ( -68.01, 66.59, -1.96) +TGeoTessellated 426 Local ( 60.00, 84.01, -10.74) Global ( 60.00, 84.01, -10.74) +TGeoTessellated 427 Local ( 57.76, 85.61, -10.35) Global ( 57.76, 85.61, -10.35) +TGeoTessellated 428 Local ( 5.69, 83.03, -0.73) Global ( 5.69, 83.03, -0.73) +TGeoTessellated 429 Local ( 5.72, 83.04, -4.43) Global ( 5.72, 83.04, -4.43) +TGeoTessellated 430 Local ( 6.51, 84.44, -0.97) Global ( 6.51, 84.44, -0.97) +TGeoTessellated 431 Local ( 6.36, 84.38, -3.72) Global ( 6.36, 84.38, -3.72) +TGeoTessellated 432 Local ( 57.09, 10.09, -9.59) Global ( 57.09, 10.09, -9.59) +TGeoTessellated 433 Local ( 5.73, 86.21, -0.33) Global ( 5.73, 86.21, -0.33) +TGeoTessellated 434 Local ( 5.46, 86.12, -3.26) Global ( 5.46, 86.12, -3.26) +TGeoTessellated 435 Local ( 3.74, 88.53, 1.11) Global ( 3.74, 88.53, 1.11) +TGeoTessellated 436 Local ( 3.25, 88.58, -2.72) Global ( 3.25, 88.58, -2.72) +TGeoTessellated 437 Local ( 56.49, 87.46, -10.08) Global ( 56.49, 87.46, -10.08) +TGeoTessellated 438 Local ( 56.93, 89.78, -10.54) Global ( 56.93, 89.78, -10.54) +TGeoTessellated 439 Local ( -24.34, 11.44, -38.36) Global ( -24.34, 11.44, -38.36) +TGeoTessellated 440 Local ( -16.19, 11.41, -41.82) Global ( -16.19, 11.41, -41.82) +TGeoTessellated 441 Local ( -12.05, 9.99, -37.47) Global ( -12.05, 9.99, -37.47) +TGeoTessellated 442 Local ( -19.18, 9.97, -34.56) Global ( -19.18, 9.97, -34.56) +TGeoTessellated 443 Local ( -25.12, 9.93, -30.19) Global ( -25.12, 9.93, -30.19) +TGeoTessellated 444 Local ( -31.11, 11.48, -32.97) Global ( -31.11, 11.48, -32.97) +TGeoTessellated 445 Local ( -35.47, 11.63, -25.68) Global ( -35.47, 11.63, -25.68) +TGeoTessellated 446 Local ( -29.01, 10.05, -23.97) Global ( -29.01, 10.05, -23.97) +TGeoTessellated 447 Local ( -30.97, 10.16, -17.00) Global ( -30.97, 10.16, -17.00) +TGeoTessellated 448 Local ( -37.84, 11.72, -17.94) Global ( -37.84, 11.72, -17.94) +TGeoTessellated 449 Local ( 51.11, 17.83, -43.78) Global ( 51.11, 17.83, -43.78) +TGeoTessellated 450 Local ( 65.42, 18.37, -34.67) Global ( 65.42, 18.37, -34.67) +TGeoTessellated 451 Local ( 61.00, 14.30, -32.69) Global ( 61.00, 14.30, -32.69) +TGeoTessellated 452 Local ( 46.97, 14.21, -40.79) Global ( 46.97, 14.21, -40.79) +TGeoTessellated 453 Local ( 55.54, 11.47, -30.24) Global ( 55.54, 11.47, -30.24) +TGeoTessellated 454 Local ( 42.98, 11.51, -37.42) Global ( 42.98, 11.51, -37.42) +TGeoTessellated 455 Local ( -19.52, 14.35, -45.39) Global ( -19.52, 14.35, -45.39) +TGeoTessellated 456 Local ( -29.00, 14.38, -41.64) Global ( -29.00, 14.38, -41.64) +TGeoTessellated 457 Local ( -36.49, 14.46, -35.36) Global ( -36.49, 14.46, -35.36) +TGeoTessellated 458 Local ( -41.23, 18.63, -37.22) Global ( -41.23, 18.63, -37.22) +TGeoTessellated 459 Local ( -33.19, 18.57, -44.23) Global ( -33.19, 18.57, -44.23) +TGeoTessellated 460 Local ( -22.71, 18.38, -48.17) Global ( -22.71, 18.38, -48.17) +TGeoTessellated 461 Local ( -41.43, 14.43, -27.14) Global ( -41.43, 14.43, -27.14) +TGeoTessellated 462 Local ( -44.12, 14.44, -18.70) Global ( -44.12, 14.44, -18.70) +TGeoTessellated 463 Local ( -49.91, 18.13, -19.45) Global ( -49.91, 18.13, -19.45) +TGeoTessellated 464 Local ( -46.66, 18.39, -28.28) Global ( -46.66, 18.39, -28.28) +TGeoTessellated 465 Local ( 62.09, 11.42, -20.54) Global ( 62.09, 11.42, -20.54) +TGeoTessellated 466 Local ( 68.27, 14.21, -21.66) Global ( 68.27, 14.21, -21.66) +TGeoTessellated 467 Local ( 73.04, 18.35, -22.50) Global ( 73.04, 18.35, -22.50) +TGeoTessellated 468 Local ( 59.31, 28.46, -46.54) Global ( 59.31, 28.46, -46.54) +TGeoTessellated 469 Local ( 70.93, 29.04, -36.85) Global ( 70.93, 29.04, -36.85) +TGeoTessellated 470 Local ( 68.57, 23.41, -36.00) Global ( 68.57, 23.41, -36.00) +TGeoTessellated 471 Local ( 54.84, 22.71, -45.72) Global ( 54.84, 22.71, -45.72) +TGeoTessellated 472 Local ( -26.88, 23.69, -50.14) Global ( -26.88, 23.69, -50.14) +TGeoTessellated 473 Local ( -37.17, 23.75, -45.89) Global ( -37.17, 23.75, -45.89) +TGeoTessellated 474 Local ( -45.53, 23.66, -38.51) Global ( -45.53, 23.66, -38.51) +TGeoTessellated 475 Local ( -49.36, 28.88, -39.02) Global ( -49.36, 28.88, -39.02) +TGeoTessellated 476 Local ( -41.37, 29.34, -46.77) Global ( -41.37, 29.34, -46.77) +TGeoTessellated 477 Local ( -33.20, 29.87, -50.71) Global ( -33.20, 29.87, -50.71) +TGeoTessellated 478 Local ( 76.68, 23.47, -23.16) Global ( 76.68, 23.47, -23.16) +TGeoTessellated 479 Local ( 79.16, 29.19, -23.65) Global ( 79.16, 29.19, -23.65) +TGeoTessellated 480 Local ( 72.56, 35.13, -37.39) Global ( 72.56, 35.13, -37.39) +TGeoTessellated 481 Local ( 62.52, 34.81, -46.66) Global ( 62.52, 34.81, -46.66) +TGeoTessellated 482 Local ( 64.62, 41.59, -46.59) Global ( 64.62, 41.59, -46.59) +TGeoTessellated 483 Local ( 73.48, 41.76, -37.35) Global ( 73.48, 41.76, -37.35) +TGeoTessellated 484 Local ( 80.63, 35.39, -23.99) Global ( 80.63, 35.39, -23.99) +TGeoTessellated 485 Local ( 81.56, 42.11, -24.31) Global ( 81.56, 42.11, -24.31) +TGeoTessellated 486 Local ( 63.93, 55.22, -45.57) Global ( 63.93, 55.22, -45.57) +TGeoTessellated 487 Local ( 72.91, 55.10, -37.03) Global ( 72.91, 55.10, -37.03) +TGeoTessellated 488 Local ( 73.84, 48.56, -37.30) Global ( 73.84, 48.56, -37.30) +TGeoTessellated 489 Local ( 65.21, 48.55, -46.11) Global ( 65.21, 48.55, -46.11) +TGeoTessellated 490 Local ( 81.67, 48.90, -24.63) Global ( 81.67, 48.90, -24.63) +TGeoTessellated 491 Local ( 80.69, 55.35, -24.81) Global ( 80.69, 55.35, -24.81) +TGeoTessellated 492 Local ( 55.80, 66.77, -44.17) Global ( 55.80, 66.77, -44.17) +TGeoTessellated 493 Local ( 67.31, 66.43, -36.12) Global ( 67.31, 66.43, -36.12) +TGeoTessellated 494 Local ( 70.78, 61.12, -36.79) Global ( 70.78, 61.12, -36.79) +TGeoTessellated 495 Local ( 60.80, 61.45, -45.03) Global ( 60.80, 61.45, -45.03) +TGeoTessellated 496 Local ( 78.61, 61.26, -24.80) Global ( 78.61, 61.26, -24.80) +TGeoTessellated 497 Local ( 75.55, 66.52, -24.62) Global ( 75.55, 66.52, -24.62) +TGeoTessellated 498 Local ( 43.96, 74.66, -39.81) Global ( 43.96, 74.66, -39.81) +TGeoTessellated 499 Local ( 57.83, 75.24, -34.14) Global ( 57.83, 75.24, -34.14) +TGeoTessellated 500 Local ( 62.99, 71.05, -35.20) Global ( 62.99, 71.05, -35.20) +TGeoTessellated 501 Local ( 49.19, 70.95, -42.35) Global ( 49.19, 70.95, -42.35) +TGeoTessellated 502 Local ( 71.48, 71.20, -24.45) Global ( 71.48, 71.20, -24.45) +TGeoTessellated 503 Local ( 66.86, 75.46, -24.43) Global ( 66.86, 75.46, -24.43) +TGeoTessellated 504 Local ( -12.22, 73.88, -36.44) Global ( -12.22, 73.88, -36.44) +TGeoTessellated 505 Local ( -6.86, 76.13, -33.30) Global ( -6.86, 76.13, -33.30) +TGeoTessellated 506 Local ( 4.10, 75.84, -37.45) Global ( 4.10, 75.84, -37.45) +TGeoTessellated 507 Local ( 2.20, 72.88, -41.23) Global ( 2.20, 72.88, -41.23) +TGeoTessellated 508 Local ( -2.04, 78.41, -29.48) Global ( -2.04, 78.41, -29.48) +TGeoTessellated 509 Local ( 6.19, 78.52, -33.44) Global ( 6.19, 78.52, -33.44) +TGeoTessellated 510 Local ( 15.40, 78.80, -35.51) Global ( 15.40, 78.80, -35.51) +TGeoTessellated 511 Local ( 15.39, 76.12, -38.92) Global ( 15.39, 76.12, -38.92) +TGeoTessellated 512 Local ( 15.54, 73.19, -42.51) Global ( 15.54, 73.19, -42.51) +TGeoTessellated 513 Local ( -20.67, 74.99, -28.82) Global ( -20.67, 74.99, -28.82) +TGeoTessellated 514 Local ( -24.79, 76.58, -19.73) Global ( -24.79, 76.58, -19.73) +TGeoTessellated 515 Local ( -18.66, 77.18, -18.97) Global ( -18.66, 77.18, -18.97) +TGeoTessellated 516 Local ( -14.56, 76.61, -27.01) Global ( -14.56, 76.61, -27.01) +TGeoTessellated 517 Local ( -12.53, 78.29, -17.67) Global ( -12.53, 78.29, -17.67) +TGeoTessellated 518 Local ( -8.32, 78.35, -24.27) Global ( -8.32, 78.35, -24.27) +TGeoTessellated 519 Local ( 0.73, 81.19, -12.41) Global ( 0.73, 81.19, -12.41) +TGeoTessellated 520 Local ( 1.96, 81.26, -18.35) Global ( 1.96, 81.26, -18.35) +TGeoTessellated 521 Local ( 4.34, 81.12, -24.16) Global ( 4.34, 81.12, -24.16) +TGeoTessellated 522 Local ( -55.84, 81.31, -28.55) Global ( -55.84, 81.31, -28.55) +TGeoTessellated 523 Local ( -55.82, 87.24, -22.08) Global ( -55.82, 87.24, -22.08) +TGeoTessellated 524 Local ( -49.63, 89.35, -22.46) Global ( -49.63, 89.35, -22.46) +TGeoTessellated 525 Local ( -49.89, 83.61, -28.99) Global ( -49.89, 83.61, -28.99) +TGeoTessellated 526 Local ( -43.70, 88.35, -22.32) Global ( -43.70, 88.35, -22.32) +TGeoTessellated 527 Local ( -44.45, 82.60, -28.97) Global ( -44.45, 82.60, -28.97) +TGeoTessellated 528 Local ( -44.49, 77.88, -33.66) Global ( -44.49, 77.88, -33.66) +TGeoTessellated 529 Local ( -48.68, 77.23, -34.53) Global ( -48.68, 77.23, -34.53) +TGeoTessellated 530 Local ( -54.13, 74.79, -34.63) Global ( -54.13, 74.79, -34.63) +TGeoTessellated 531 Local ( -64.31, 69.66, -25.90) Global ( -64.31, 69.66, -25.90) +TGeoTessellated 532 Local ( -65.51, 72.59, -18.50) Global ( -65.51, 72.59, -18.50) +TGeoTessellated 533 Local ( -61.71, 81.90, -20.98) Global ( -61.71, 81.90, -20.98) +TGeoTessellated 534 Local ( -61.12, 76.11, -27.27) Global ( -61.12, 76.11, -27.27) +TGeoTessellated 535 Local ( -58.78, 70.71, -34.11) Global ( -58.78, 70.71, -34.11) +TGeoTessellated 536 Local ( -61.96, 65.75, -32.96) Global ( -61.96, 65.75, -32.96) +TGeoTessellated 537 Local ( -58.45, 60.39, -39.17) Global ( -58.45, 60.39, -39.17) +TGeoTessellated 538 Local ( -55.06, 65.03, -40.52) Global ( -55.06, 65.03, -40.52) +TGeoTessellated 539 Local ( -50.51, 68.78, -40.68) Global ( -50.51, 68.78, -40.68) +TGeoTessellated 540 Local ( -43.46, 60.45, -47.49) Global ( -43.46, 60.45, -47.49) +TGeoTessellated 541 Local ( -46.72, 55.35, -48.10) Global ( -46.72, 55.35, -48.10) +TGeoTessellated 542 Local ( -49.21, 49.20, -47.37) Global ( -49.21, 49.20, -47.37) +TGeoTessellated 543 Local ( -54.18, 45.99, -42.28) Global ( -54.18, 45.99, -42.28) +TGeoTessellated 544 Local ( -58.97, 43.72, -35.59) Global ( -58.97, 43.72, -35.59) +TGeoTessellated 545 Local ( -63.85, 52.57, -32.01) Global ( -63.85, 52.57, -32.01) +TGeoTessellated 546 Local ( -61.30, 55.83, -36.30) Global ( -61.30, 55.83, -36.30) +TGeoTessellated 547 Local ( -65.20, 57.07, -29.51) Global ( -65.20, 57.07, -29.51) +TGeoTessellated 548 Local ( -63.93, 60.73, -31.17) Global ( -63.93, 60.73, -31.17) +TGeoTessellated 549 Local ( -51.20, 23.17, -29.08) Global ( -51.20, 23.17, -29.08) +TGeoTessellated 550 Local ( -54.96, 22.81, -19.98) Global ( -54.96, 22.81, -19.98) +TGeoTessellated 551 Local ( -59.27, 27.91, -20.24) Global ( -59.27, 27.91, -20.24) +TGeoTessellated 552 Local ( -55.15, 28.21, -29.55) Global ( -55.15, 28.21, -29.55) +TGeoTessellated 553 Local ( -3.96, 36.04, -59.51) Global ( -3.96, 36.04, -59.51) +TGeoTessellated 554 Local ( -9.33, 36.67, -59.05) Global ( -9.33, 36.67, -59.05) +TGeoTessellated 555 Local ( -11.20, 39.41, -59.03) Global ( -11.20, 39.41, -59.03) +TGeoTessellated 556 Local ( -4.38, 39.58, -59.84) Global ( -4.38, 39.58, -59.84) +TGeoTessellated 557 Local ( -13.09, 43.34, -58.85) Global ( -13.09, 43.34, -58.85) +TGeoTessellated 558 Local ( -5.22, 43.47, -59.88) Global ( -5.22, 43.47, -59.88) +TGeoTessellated 559 Local ( -53.08, 34.28, -38.52) Global ( -53.08, 34.28, -38.52) +TGeoTessellated 560 Local ( -45.85, 35.44, -46.31) Global ( -45.85, 35.44, -46.31) +TGeoTessellated 561 Local ( -39.75, 37.34, -50.20) Global ( -39.75, 37.34, -50.20) +TGeoTessellated 562 Local ( -63.13, 33.46, -20.15) Global ( -63.13, 33.46, -20.15) +TGeoTessellated 563 Local ( -58.69, 33.69, -29.41) Global ( -58.69, 33.69, -29.41) +TGeoTessellated 564 Local ( -66.34, 42.19, -19.44) Global ( -66.34, 42.19, -19.44) +TGeoTessellated 565 Local ( -63.13, 42.55, -27.85) Global ( -63.13, 42.55, -27.85) +TGeoTessellated 566 Local ( -14.21, 47.72, -58.49) Global ( -14.21, 47.72, -58.49) +TGeoTessellated 567 Local ( -14.22, 51.90, -58.05) Global ( -14.22, 51.90, -58.05) +TGeoTessellated 568 Local ( -6.01, 51.36, -59.05) Global ( -6.01, 51.36, -59.05) +TGeoTessellated 569 Local ( -5.84, 47.51, -59.60) Global ( -5.84, 47.51, -59.60) +TGeoTessellated 570 Local ( -13.94, 67.83, -45.92) Global ( -13.94, 67.83, -45.92) +TGeoTessellated 571 Local ( -11.13, 65.49, -48.70) Global ( -11.13, 65.49, -48.70) +TGeoTessellated 572 Local ( -21.74, 64.01, -49.29) Global ( -21.74, 64.01, -49.29) +TGeoTessellated 573 Local ( -25.06, 65.91, -47.29) Global ( -25.06, 65.91, -47.29) +TGeoTessellated 574 Local ( -30.07, 77.32, -20.57) Global ( -30.07, 77.32, -20.57) +TGeoTessellated 575 Local ( -27.31, 73.89, -30.33) Global ( -27.31, 73.89, -30.33) +TGeoTessellated 576 Local ( -21.58, 71.29, -39.39) Global ( -21.58, 71.29, -39.39) +TGeoTessellated 577 Local ( -33.13, 69.39, -41.47) Global ( -33.13, 69.39, -41.47) +TGeoTessellated 578 Local ( -34.26, 73.90, -30.84) Global ( -34.26, 73.90, -30.84) +TGeoTessellated 579 Local ( -34.49, 80.03, -21.56) Global ( -34.49, 80.03, -21.56) +TGeoTessellated 580 Local ( 34.24, 80.57, -34.25) Global ( 34.24, 80.57, -34.25) +TGeoTessellated 581 Local ( 48.70, 81.19, -30.87) Global ( 48.70, 81.19, -30.87) +TGeoTessellated 582 Local ( 52.79, 78.48, -32.87) Global ( 52.79, 78.48, -32.87) +TGeoTessellated 583 Local ( 39.22, 77.65, -37.08) Global ( 39.22, 77.65, -37.08) +TGeoTessellated 584 Local ( 29.71, 73.73, -42.05) Global ( 29.71, 73.73, -42.05) +TGeoTessellated 585 Local ( 27.13, 76.73, -38.88) Global ( 27.13, 76.73, -38.88) +TGeoTessellated 586 Local ( 25.22, 79.31, -35.81) Global ( 25.22, 79.31, -35.81) +TGeoTessellated 587 Local ( 62.39, 78.92, -24.24) Global ( 62.39, 78.92, -24.24) +TGeoTessellated 588 Local ( 57.94, 81.72, -23.22) Global ( 57.94, 81.72, -23.22) +TGeoTessellated 589 Local ( 9.52, 81.07, -28.80) Global ( 9.52, 81.07, -28.80) +TGeoTessellated 590 Local ( 16.58, 81.12, -31.90) Global ( 16.58, 81.12, -31.90) +TGeoTessellated 591 Local ( -40.39, 73.32, -36.58) Global ( -40.39, 73.32, -36.58) +TGeoTessellated 592 Local ( -39.64, 78.07, -29.83) Global ( -39.64, 78.07, -29.83) +TGeoTessellated 593 Local ( -38.63, 84.63, -22.15) Global ( -38.63, 84.63, -22.15) +TGeoTessellated 594 Local ( -68.04, 51.26, -18.39) Global ( -68.04, 51.26, -18.39) +TGeoTessellated 595 Local ( -66.13, 51.34, -25.83) Global ( -66.13, 51.34, -25.83) +TGeoTessellated 596 Local ( -68.02, 58.21, -17.82) Global ( -68.02, 58.21, -17.82) +TGeoTessellated 597 Local ( -66.69, 57.59, -24.69) Global ( -66.69, 57.59, -24.69) +TGeoTessellated 598 Local ( -39.19, 64.81, -45.71) Global ( -39.19, 64.81, -45.71) +TGeoTessellated 599 Local ( -45.14, 71.29, -39.69) Global ( -45.14, 71.29, -39.69) +TGeoTessellated 600 Local ( -65.85, 63.42, -25.01) Global ( -65.85, 63.42, -25.01) +TGeoTessellated 601 Local ( -67.08, 65.10, -17.91) Global ( -67.08, 65.10, -17.91) +TGeoTessellated 602 Local ( 46.10, 83.25, -28.64) Global ( 46.10, 83.25, -28.64) +TGeoTessellated 603 Local ( 54.47, 83.66, -21.55) Global ( 54.47, 83.66, -21.55) +TGeoTessellated 604 Local ( 44.19, 85.12, -26.79) Global ( 44.19, 85.12, -26.79) +TGeoTessellated 605 Local ( 52.19, 85.36, -20.40) Global ( 52.19, 85.36, -20.40) +TGeoTessellated 606 Local ( 25.25, 81.07, -33.36) Global ( 25.25, 81.07, -33.36) +TGeoTessellated 607 Local ( 17.92, 83.20, -29.02) Global ( 17.92, 83.20, -29.02) +TGeoTessellated 608 Local ( 25.85, 83.14, -30.88) Global ( 25.85, 83.14, -30.88) +TGeoTessellated 609 Local ( 19.02, 85.03, -27.48) Global ( 19.02, 85.03, -27.48) +TGeoTessellated 610 Local ( 26.16, 85.06, -29.33) Global ( 26.16, 85.06, -29.33) +TGeoTessellated 611 Local ( 34.77, 85.04, -29.42) Global ( 34.77, 85.04, -29.42) +TGeoTessellated 612 Local ( 35.03, 83.07, -31.27) Global ( 35.03, 83.07, -31.27) +TGeoTessellated 613 Local ( 12.15, 83.20, -25.59) Global ( 12.15, 83.20, -25.59) +TGeoTessellated 614 Local ( 8.38, 83.18, -21.11) Global ( 8.38, 83.18, -21.11) +TGeoTessellated 615 Local ( 9.94, 84.92, -20.07) Global ( 9.94, 84.92, -20.07) +TGeoTessellated 616 Local ( 13.72, 84.98, -24.25) Global ( 13.72, 84.98, -24.25) +TGeoTessellated 617 Local ( 49.39, 10.03, -27.32) Global ( 49.39, 10.03, -27.32) +TGeoTessellated 618 Local ( 38.80, 10.05, -33.61) Global ( 38.80, 10.05, -33.61) +TGeoTessellated 619 Local ( 14.19, 9.94, -39.56) Global ( 14.19, 9.94, -39.56) +TGeoTessellated 620 Local ( 14.78, 11.38, -44.02) Global ( 14.78, 11.38, -44.02) +TGeoTessellated 621 Local ( 27.74, 11.43, -42.15) Global ( 27.74, 11.43, -42.15) +TGeoTessellated 622 Local ( 25.48, 9.94, -38.00) Global ( 25.48, 9.94, -38.00) +TGeoTessellated 623 Local ( -3.26, 11.39, -43.97) Global ( -3.26, 11.39, -43.97) +TGeoTessellated 624 Local ( -0.93, 9.96, -39.57) Global ( -0.93, 9.96, -39.57) +TGeoTessellated 625 Local ( 55.04, 10.02, -19.00) Global ( 55.04, 10.02, -19.00) +TGeoTessellated 626 Local ( 15.64, 13.95, -47.86) Global ( 15.64, 13.95, -47.86) +TGeoTessellated 627 Local ( 30.08, 14.10, -45.77) Global ( 30.08, 14.10, -45.77) +TGeoTessellated 628 Local ( 16.92, 17.45, -50.81) Global ( 16.92, 17.45, -50.81) +TGeoTessellated 629 Local ( 32.80, 17.80, -48.81) Global ( 32.80, 17.80, -48.81) +TGeoTessellated 630 Local ( -5.98, 14.21, -47.59) Global ( -5.98, 14.21, -47.59) +TGeoTessellated 631 Local ( -9.06, 18.16, -50.57) Global ( -9.06, 18.16, -50.57) +TGeoTessellated 632 Local ( 18.85, 36.27, -60.56) Global ( 18.85, 36.27, -60.56) +TGeoTessellated 633 Local ( 11.39, 35.74, -60.28) Global ( 11.39, 35.74, -60.28) +TGeoTessellated 634 Local ( 10.86, 39.79, -60.90) Global ( 10.86, 39.79, -60.90) +TGeoTessellated 635 Local ( 18.45, 40.06, -61.23) Global ( 18.45, 40.06, -61.23) +TGeoTessellated 636 Local ( 10.45, 43.91, -61.09) Global ( 10.45, 43.91, -61.09) +TGeoTessellated 637 Local ( 18.39, 44.32, -61.33) Global ( 18.39, 44.32, -61.33) +TGeoTessellated 638 Local ( 26.59, 44.65, -61.01) Global ( 26.59, 44.65, -61.01) +TGeoTessellated 639 Local ( 25.57, 40.15, -60.92) Global ( 25.57, 40.15, -60.92) +TGeoTessellated 640 Local ( 24.25, 37.06, -60.55) Global ( 24.25, 37.06, -60.55) +TGeoTessellated 641 Local ( 9.98, 48.04, -60.78) Global ( 9.98, 48.04, -60.78) +TGeoTessellated 642 Local ( 17.99, 48.76, -61.06) Global ( 17.99, 48.76, -61.06) +TGeoTessellated 643 Local ( 9.46, 52.00, -60.03) Global ( 9.46, 52.00, -60.03) +TGeoTessellated 644 Local ( 17.17, 53.03, -60.17) Global ( 17.17, 53.03, -60.17) +TGeoTessellated 645 Local ( 25.46, 54.49, -59.53) Global ( 25.46, 54.49, -59.53) +TGeoTessellated 646 Local ( 26.71, 49.70, -60.62) Global ( 26.71, 49.70, -60.62) +TGeoTessellated 647 Local ( 9.02, 55.63, -58.88) Global ( 9.02, 55.63, -58.88) +TGeoTessellated 648 Local ( 16.23, 56.77, -58.87) Global ( 16.23, 56.77, -58.87) +TGeoTessellated 649 Local ( 9.01, 58.99, -57.28) Global ( 9.01, 58.99, -57.28) +TGeoTessellated 650 Local ( 15.97, 59.97, -57.33) Global ( 15.97, 59.97, -57.33) +TGeoTessellated 651 Local ( 21.34, 60.56, -57.21) Global ( 21.34, 60.56, -57.21) +TGeoTessellated 652 Local ( 23.28, 58.23, -58.21) Global ( 23.28, 58.23, -58.21) +TGeoTessellated 653 Local ( 15.59, 70.04, -46.08) Global ( 15.59, 70.04, -46.08) +TGeoTessellated 654 Local ( 32.92, 70.05, -45.60) Global ( 32.92, 70.05, -45.60) +TGeoTessellated 655 Local ( 44.14, 66.48, -47.44) Global ( 44.14, 66.48, -47.44) +TGeoTessellated 656 Local ( 51.25, 61.66, -48.75) Global ( 51.25, 61.66, -48.75) +TGeoTessellated 657 Local ( 55.54, 55.52, -49.77) Global ( 55.54, 55.52, -49.77) +TGeoTessellated 658 Local ( 57.07, 48.81, -50.57) Global ( 57.07, 48.81, -50.57) +TGeoTessellated 659 Local ( 56.01, 41.96, -51.28) Global ( 56.01, 41.96, -51.28) +TGeoTessellated 660 Local ( 52.57, 35.33, -51.60) Global ( 52.57, 35.33, -51.60) +TGeoTessellated 661 Local ( 46.51, 29.23, -51.51) Global ( 46.51, 29.23, -51.51) +TGeoTessellated 662 Local ( 17.51, 21.40, -53.14) Global ( 17.51, 21.40, -53.14) +TGeoTessellated 663 Local ( 35.75, 23.26, -51.42) Global ( 35.75, 23.26, -51.42) +TGeoTessellated 664 Local ( -13.59, 23.93, -52.61) Global ( -13.59, 23.93, -52.61) +TGeoTessellated 665 Local ( -24.87, 30.36, -52.88) Global ( -24.87, 30.36, -52.88) +TGeoTessellated 666 Local ( -32.39, 37.06, -52.64) Global ( -32.39, 37.06, -52.64) +TGeoTessellated 667 Local ( -37.60, 44.68, -51.76) Global ( -37.60, 44.68, -51.76) +TGeoTessellated 668 Local ( -36.32, 56.55, -50.61) Global ( -36.32, 56.55, -50.61) +TGeoTessellated 669 Local ( -38.09, 50.86, -51.42) Global ( -38.09, 50.86, -51.42) +TGeoTessellated 670 Local ( -32.28, 62.02, -49.21) Global ( -32.28, 62.02, -49.21) +TGeoTessellated 671 Local ( -13.03, 55.23, -57.57) Global ( -13.03, 55.23, -57.57) +TGeoTessellated 672 Local ( -5.76, 54.71, -58.26) Global ( -5.76, 54.71, -58.26) +TGeoTessellated 673 Local ( -5.66, 57.55, -57.08) Global ( -5.66, 57.55, -57.08) +TGeoTessellated 674 Local ( -11.20, 57.27, -56.97) Global ( -11.20, 57.27, -56.97) +TGeoTessellated 675 Local ( 1.38, 68.98, -45.96) Global ( 1.38, 68.98, -45.96) +TGeoTessellated 676 Local ( -32.29, 43.14, -53.14) Global ( -32.29, 43.14, -53.14) +TGeoTessellated 677 Local ( -27.83, 36.86, -53.86) Global ( -27.83, 36.86, -53.86) +TGeoTessellated 678 Local ( -26.22, 42.69, -55.60) Global ( -26.22, 42.69, -55.60) +TGeoTessellated 679 Local ( -21.69, 37.49, -56.28) Global ( -21.69, 37.49, -56.28) +TGeoTessellated 680 Local ( -24.87, 37.04, -54.85) Global ( -24.87, 37.04, -54.85) +TGeoTessellated 681 Local ( -29.60, 42.73, -54.05) Global ( -29.60, 42.73, -54.05) +TGeoTessellated 682 Local ( -15.09, 33.34, -56.79) Global ( -15.09, 33.34, -56.79) +TGeoTessellated 683 Local ( -17.72, 32.11, -55.40) Global ( -17.72, 32.11, -55.40) +TGeoTessellated 684 Local ( -20.39, 31.23, -54.28) Global ( -20.39, 31.23, -54.28) +TGeoTessellated 685 Local ( -32.83, 55.37, -51.43) Global ( -32.83, 55.37, -51.43) +TGeoTessellated 686 Local ( -33.74, 49.30, -52.40) Global ( -33.74, 49.30, -52.40) +TGeoTessellated 687 Local ( -28.59, 54.46, -53.89) Global ( -28.59, 54.46, -53.89) +TGeoTessellated 688 Local ( -28.52, 48.55, -54.78) Global ( -28.52, 48.55, -54.78) +TGeoTessellated 689 Local ( -31.52, 48.83, -53.17) Global ( -31.52, 48.83, -53.17) +TGeoTessellated 690 Local ( -31.05, 54.95, -52.16) Global ( -31.05, 54.95, -52.16) +TGeoTessellated 691 Local ( 15.89, 23.92, -54.73) Global ( 15.89, 23.92, -54.73) +TGeoTessellated 692 Local ( 29.50, 26.05, -54.08) Global ( 29.50, 26.05, -54.08) +TGeoTessellated 693 Local ( 13.36, 27.78, -57.72) Global ( 13.36, 27.78, -57.72) +TGeoTessellated 694 Local ( 23.75, 29.46, -57.67) Global ( 23.75, 29.46, -57.67) +TGeoTessellated 695 Local ( 26.43, 27.51, -55.66) Global ( 26.43, 27.51, -55.66) +TGeoTessellated 696 Local ( 14.48, 25.64, -55.98) Global ( 14.48, 25.64, -55.98) +TGeoTessellated 697 Local ( 31.81, 33.12, -57.68) Global ( 31.81, 33.12, -57.68) +TGeoTessellated 698 Local ( 35.66, 31.63, -55.65) Global ( 35.66, 31.63, -55.65) +TGeoTessellated 699 Local ( 39.68, 30.56, -53.88) Global ( 39.68, 30.56, -53.88) +TGeoTessellated 700 Local ( -10.05, 26.59, -54.51) Global ( -10.05, 26.59, -54.51) +TGeoTessellated 701 Local ( -6.80, 30.10, -57.21) Global ( -6.80, 30.10, -57.21) +TGeoTessellated 702 Local ( -8.34, 28.16, -55.75) Global ( -8.34, 28.16, -55.75) +TGeoTessellated 703 Local ( 46.25, 36.21, -53.79) Global ( 46.25, 36.21, -53.79) +TGeoTessellated 704 Local ( 37.03, 38.11, -57.72) Global ( 37.03, 38.11, -57.72) +TGeoTessellated 705 Local ( 41.69, 37.05, -55.67) Global ( 41.69, 37.05, -55.67) +TGeoTessellated 706 Local ( 39.81, 43.95, -57.54) Global ( 39.81, 43.95, -57.54) +TGeoTessellated 707 Local ( 45.08, 43.24, -55.48) Global ( 45.08, 43.24, -55.48) +TGeoTessellated 708 Local ( 50.01, 42.55, -53.54) Global ( 50.01, 42.55, -53.54) +TGeoTessellated 709 Local ( 51.14, 49.25, -52.96) Global ( 51.14, 49.25, -52.96) +TGeoTessellated 710 Local ( 40.61, 50.16, -57.03) Global ( 40.61, 50.16, -57.03) +TGeoTessellated 711 Local ( 46.11, 49.76, -54.96) Global ( 46.11, 49.76, -54.96) +TGeoTessellated 712 Local ( 38.92, 56.15, -56.09) Global ( 38.92, 56.15, -56.09) +TGeoTessellated 713 Local ( 44.27, 56.13, -54.07) Global ( 44.27, 56.13, -54.07) +TGeoTessellated 714 Local ( 49.32, 55.83, -52.08) Global ( 49.32, 55.83, -52.08) +TGeoTessellated 715 Local ( 37.14, 65.79, -49.83) Global ( 37.14, 65.79, -49.83) +TGeoTessellated 716 Local ( 26.73, 68.03, -48.78) Global ( 26.73, 68.03, -48.78) +TGeoTessellated 717 Local ( 28.53, 64.34, -53.87) Global ( 28.53, 64.34, -53.87) +TGeoTessellated 718 Local ( 20.44, 65.79, -53.14) Global ( 20.44, 65.79, -53.14) +TGeoTessellated 719 Local ( 23.26, 67.02, -50.88) Global ( 23.26, 67.02, -50.88) +TGeoTessellated 720 Local ( 32.61, 65.35, -51.81) Global ( 32.61, 65.35, -51.81) +TGeoTessellated 721 Local ( 10.88, 65.26, -52.86) Global ( 10.88, 65.26, -52.86) +TGeoTessellated 722 Local ( 12.26, 66.67, -50.32) Global ( 12.26, 66.67, -50.32) +TGeoTessellated 723 Local ( 13.63, 67.87, -48.64) Global ( 13.63, 67.87, -48.64) +TGeoTessellated 724 Local ( 44.62, 61.62, -51.01) Global ( 44.62, 61.62, -51.01) +TGeoTessellated 725 Local ( 34.86, 61.18, -54.92) Global ( 34.86, 61.18, -54.92) +TGeoTessellated 726 Local ( 39.66, 61.56, -52.94) Global ( 39.66, 61.56, -52.94) +TGeoTessellated 727 Local ( -29.24, 60.79, -50.26) Global ( -29.24, 60.79, -50.26) +TGeoTessellated 728 Local ( -18.83, 61.99, -52.89) Global ( -18.83, 61.99, -52.89) +TGeoTessellated 729 Local ( -25.46, 59.18, -53.19) Global ( -25.46, 59.18, -53.19) +TGeoTessellated 730 Local ( -27.63, 60.13, -51.12) Global ( -27.63, 60.13, -51.12) +TGeoTessellated 731 Local ( -20.48, 63.20, -50.30) Global ( -20.48, 63.20, -50.30) +TGeoTessellated 732 Local ( -9.18, 63.11, -52.82) Global ( -9.18, 63.11, -52.82) +TGeoTessellated 733 Local ( -10.16, 64.45, -50.04) Global ( -10.16, 64.45, -50.04) +TGeoTessellated 734 Local ( 1.10, 63.91, -52.87) Global ( 1.10, 63.91, -52.87) +TGeoTessellated 735 Local ( 1.48, 65.03, -50.27) Global ( 1.48, 65.03, -50.27) +TGeoTessellated 736 Local ( -16.88, 38.55, -57.78) Global ( -16.88, 38.55, -57.78) +TGeoTessellated 737 Local ( -20.35, 43.07, -57.31) Global ( -20.35, 43.07, -57.31) +TGeoTessellated 738 Local ( -12.11, 35.04, -58.17) Global ( -12.11, 35.04, -58.17) +TGeoTessellated 739 Local ( -22.28, 48.16, -56.69) Global ( -22.28, 48.16, -56.69) +TGeoTessellated 740 Local ( -22.24, 53.13, -56.02) Global ( -22.24, 53.13, -56.02) +TGeoTessellated 741 Local ( 20.96, 32.76, -59.40) Global ( 20.96, 32.76, -59.40) +TGeoTessellated 742 Local ( 12.29, 31.72, -59.20) Global ( 12.29, 31.72, -59.20) +TGeoTessellated 743 Local ( 27.76, 35.20, -59.50) Global ( 27.76, 35.20, -59.50) +TGeoTessellated 744 Local ( -5.16, 32.90, -58.57) Global ( -5.16, 32.90, -58.57) +TGeoTessellated 745 Local ( 31.79, 39.29, -59.63) Global ( 31.79, 39.29, -59.63) +TGeoTessellated 746 Local ( 33.90, 44.50, -59.53) Global ( 33.90, 44.50, -59.53) +TGeoTessellated 747 Local ( 34.25, 50.17, -58.99) Global ( 34.25, 50.17, -58.99) +TGeoTessellated 748 Local ( 32.75, 55.60, -58.00) Global ( 32.75, 55.60, -58.00) +TGeoTessellated 749 Local ( 17.77, 63.14, -55.40) Global ( 17.77, 63.14, -55.40) +TGeoTessellated 750 Local ( 24.57, 62.53, -55.82) Global ( 24.57, 62.53, -55.82) +TGeoTessellated 751 Local ( 9.69, 62.32, -55.26) Global ( 9.69, 62.32, -55.26) +TGeoTessellated 752 Local ( 29.40, 59.93, -56.79) Global ( 29.40, 59.93, -56.79) +TGeoTessellated 753 Local ( -19.99, 57.08, -55.48) Global ( -19.99, 57.08, -55.48) +TGeoTessellated 754 Local ( -14.92, 59.38, -55.22) Global ( -14.92, 59.38, -55.22) +TGeoTessellated 755 Local ( -7.24, 60.36, -55.20) Global ( -7.24, 60.36, -55.20) +TGeoTessellated 756 Local ( 1.25, 61.22, -55.23) Global ( 1.25, 61.22, -55.23) +TGeoTessellated 757 Local ( 1.54, 58.12, -57.20) Global ( 1.54, 58.12, -57.20) +TGeoTessellated 758 Local ( 1.64, 54.92, -58.66) Global ( 1.64, 54.92, -58.66) +TGeoTessellated 759 Local ( 1.81, 51.44, -59.65) Global ( 1.81, 51.44, -59.65) +TGeoTessellated 760 Local ( 2.15, 47.62, -60.28) Global ( 2.15, 47.62, -60.28) +TGeoTessellated 761 Local ( 2.64, 43.63, -60.52) Global ( 2.64, 43.63, -60.52) +TGeoTessellated 762 Local ( 3.14, 39.62, -60.43) Global ( 3.14, 39.62, -60.43) +TGeoTessellated 763 Local ( 3.45, 35.68, -59.90) Global ( 3.45, 35.68, -59.90) +TGeoTessellated 764 Local ( 3.32, 31.83, -58.91) Global ( 3.32, 31.83, -58.91) +TGeoTessellated 765 Local ( 3.02, 28.33, -57.53) Global ( 3.02, 28.33, -57.53) +TGeoTessellated 766 Local ( 2.82, 25.93, -56.01) Global ( 2.82, 25.93, -56.01) +TGeoTessellated 767 Local ( 2.55, 21.61, -53.39) Global ( 2.55, 21.61, -53.39) +TGeoTessellated 768 Local ( 2.73, 24.18, -54.83) Global ( 2.73, 24.18, -54.83) +TGeoTessellated 769 Local ( 3.62, 17.58, -51.25) Global ( 3.62, 17.58, -51.25) +TGeoTessellated 770 Local ( 4.28, 14.02, -48.35) Global ( 4.28, 14.02, -48.35) +TGeoTessellated 771 Local ( 4.57, 11.41, -44.54) Global ( 4.57, 11.41, -44.54) +TGeoTessellated 772 Local ( 4.60, 9.98, -40.09) Global ( 4.60, 9.98, -40.09) +TGeoTessellated 773 Local ( -38.79, 11.78, -10.39) Global ( -38.79, 11.78, -10.39) +TGeoTessellated 774 Local ( -31.79, 10.17, -9.98) Global ( -31.79, 10.17, -9.98) +TGeoTessellated 775 Local ( -45.29, 14.50, -10.83) Global ( -45.29, 14.50, -10.83) +TGeoTessellated 776 Local ( -51.38, 18.21, -11.13) Global ( -51.38, 18.21, -11.13) +TGeoTessellated 777 Local ( -55.42, 91.14, -15.16) Global ( -55.42, 91.14, -15.16) +TGeoTessellated 778 Local ( -65.54, 74.79, -11.16) Global ( -65.54, 74.79, -11.16) +TGeoTessellated 779 Local ( -60.87, 85.60, -14.22) Global ( -60.87, 85.60, -14.22) +TGeoTessellated 780 Local ( -56.49, 22.88, -11.22) Global ( -56.49, 22.88, -11.22) +TGeoTessellated 781 Local ( -67.28, 42.48, -10.91) Global ( -67.28, 42.48, -10.91) +TGeoTessellated 782 Local ( -69.01, 51.63, -10.62) Global ( -69.01, 51.63, -10.62) +TGeoTessellated 783 Local ( -68.88, 58.68, -10.44) Global ( -68.88, 58.68, -10.44) +TGeoTessellated 784 Local ( -67.65, 66.18, -10.49) Global ( -67.65, 66.18, -10.49) +TGeoTessellated 785 Local ( 5.18, 83.01, -10.50) Global ( 5.18, 83.01, -10.50) +TGeoTessellated 786 Local ( 6.31, 84.62, -9.59) Global ( 6.31, 84.62, -9.59) +TGeoTessellated 787 Local ( 6.04, 83.07, -16.13) Global ( 6.04, 83.07, -16.13) +TGeoTessellated 788 Local ( 7.46, 84.82, -15.14) Global ( 7.46, 84.82, -15.14) +TGeoTessellated 789 Local ( 5.53, 86.67, -9.24) Global ( 5.53, 86.67, -9.24) +TGeoTessellated 790 Local ( 2.39, 90.37, -9.86) Global ( 2.39, 90.37, -9.86) +TGeoTessellated 791 Local ( 9.92, 86.94, -19.95) Global ( 9.92, 86.94, -19.95) +TGeoTessellated 792 Local ( 7.12, 86.90, -15.01) Global ( 7.12, 86.90, -15.01) +TGeoTessellated 793 Local ( 5.26, 89.82, -16.20) Global ( 5.26, 89.82, -16.20) +TGeoTessellated 794 Local ( 8.68, 89.57, -20.99) Global ( 8.68, 89.57, -20.99) +TGeoTessellated 795 Local ( 19.17, 86.98, -27.18) Global ( 19.17, 86.98, -27.18) +TGeoTessellated 796 Local ( 13.89, 86.94, -24.06) Global ( 13.89, 86.94, -24.06) +TGeoTessellated 797 Local ( 12.96, 89.42, -24.91) Global ( 12.96, 89.42, -24.91) +TGeoTessellated 798 Local ( 18.35, 89.42, -27.97) Global ( 18.35, 89.42, -27.97) +TGeoTessellated 799 Local ( 25.98, 87.10, -28.96) Global ( 25.98, 87.10, -28.96) +TGeoTessellated 800 Local ( 25.05, 89.56, -29.95) Global ( 25.05, 89.56, -29.95) +TGeoTessellated 801 Local ( 32.80, 89.72, -30.42) Global ( 32.80, 89.72, -30.42) +TGeoTessellated 802 Local ( 34.04, 87.12, -29.03) Global ( 34.04, 87.12, -29.03) +TGeoTessellated 803 Local ( 41.36, 90.17, -28.71) Global ( 41.36, 90.17, -28.71) +TGeoTessellated 804 Local ( 42.83, 87.24, -26.58) Global ( 42.83, 87.24, -26.58) +TGeoTessellated 805 Local ( 50.95, 87.31, -20.60) Global ( 50.95, 87.31, -20.60) +TGeoTessellated 806 Local ( 50.87, 90.67, -23.65) Global ( 50.87, 90.67, -23.65) +TGeoTessellated 807 Local ( -11.60, 122.78, 8.68) Global ( -11.60, 122.78, 8.68) +TGeoTessellated 808 Local ( -11.30, 122.69, 9.70) Global ( -11.30, 122.69, 9.70) +TGeoTessellated 809 Local ( -10.49, 127.77, 10.45) Global ( -10.49, 127.77, 10.45) +TGeoTessellated 810 Local ( -11.10, 127.94, 8.42) Global ( -11.10, 127.94, 8.42) +TGeoTessellated 811 Local ( -10.98, 122.37, 10.69) Global ( -10.98, 122.37, 10.69) +TGeoTessellated 812 Local ( -9.86, 127.12, 12.42) Global ( -9.86, 127.12, 12.42) +TGeoTessellated 813 Local ( -10.67, 121.82, 11.59) Global ( -10.67, 121.82, 11.59) +TGeoTessellated 814 Local ( -9.25, 126.04, 14.21) Global ( -9.25, 126.04, 14.21) +TGeoTessellated 815 Local ( -10.38, 121.08, 12.34) Global ( -10.38, 121.08, 12.34) +TGeoTessellated 816 Local ( -8.68, 124.56, 15.73) Global ( -8.68, 124.56, 15.73) +TGeoTessellated 817 Local ( -10.12, 120.18, 12.93) Global ( -10.12, 120.18, 12.93) +TGeoTessellated 818 Local ( -8.19, 122.76, 16.89) Global ( -8.19, 122.76, 16.89) +TGeoTessellated 819 Local ( -9.92, 119.16, 13.31) Global ( -9.92, 119.16, 13.31) +TGeoTessellated 820 Local ( -7.79, 120.73, 17.66) Global ( -7.79, 120.73, 17.66) +TGeoTessellated 821 Local ( -9.77, 118.07, 13.48) Global ( -9.77, 118.07, 13.48) +TGeoTessellated 822 Local ( -7.49, 118.56, 17.97) Global ( -7.49, 118.56, 17.97) +TGeoTessellated 823 Local ( -9.69, 116.96, 13.42) Global ( -9.69, 116.96, 13.42) +TGeoTessellated 824 Local ( -7.33, 116.36, 17.85) Global ( -7.33, 116.36, 17.85) +TGeoTessellated 825 Local ( -9.67, 115.89, 13.13) Global ( -9.67, 115.89, 13.13) +TGeoTessellated 826 Local ( -7.31, 114.23, 17.27) Global ( -7.31, 114.23, 17.27) +TGeoTessellated 827 Local ( -9.72, 114.90, 12.64) Global ( -9.72, 114.90, 12.64) +TGeoTessellated 828 Local ( -7.42, 112.27, 16.27) Global ( -7.42, 112.27, 16.27) +TGeoTessellated 829 Local ( -9.86, 114.02, 11.89) Global ( -9.86, 114.02, 11.89) +TGeoTessellated 830 Local ( -7.70, 110.53, 14.79) Global ( -7.70, 110.53, 14.79) +TGeoTessellated 831 Local ( -10.14, 113.25, 10.71) Global ( -10.14, 113.25, 10.71) +TGeoTessellated 832 Local ( -8.28, 109.03, 12.47) Global ( -8.28, 109.03, 12.47) +TGeoTessellated 833 Local ( -10.72, 112.91, 8.72) Global ( -10.72, 112.91, 8.72) +TGeoTessellated 834 Local ( -9.36, 108.08, 8.54) Global ( -9.36, 108.08, 8.54) +TGeoTessellated 835 Local ( -8.85, 108.39, 10.42) Global ( -8.85, 108.39, 10.42) +TGeoTessellated 836 Local ( -10.44, 113.01, 9.68) Global ( -10.44, 113.01, 9.68) +TGeoTessellated 837 Local ( -9.05, 132.74, 10.98) Global ( -9.05, 132.74, 10.98) +TGeoTessellated 838 Local ( -9.96, 133.00, 7.96) Global ( -9.96, 133.00, 7.96) +TGeoTessellated 839 Local ( -8.11, 131.78, 13.91) Global ( -8.11, 131.78, 13.91) +TGeoTessellated 840 Local ( -7.20, 130.17, 16.56) Global ( -7.20, 130.17, 16.56) +TGeoTessellated 841 Local ( -6.37, 127.99, 18.81) Global ( -6.37, 127.99, 18.81) +TGeoTessellated 842 Local ( -5.64, 125.33, 20.55) Global ( -5.64, 125.33, 20.55) +TGeoTessellated 843 Local ( -5.06, 122.32, 21.70) Global ( -5.06, 122.32, 21.70) +TGeoTessellated 844 Local ( -4.65, 119.10, 22.20) Global ( -4.65, 119.10, 22.20) +TGeoTessellated 845 Local ( -4.42, 115.82, 22.02) Global ( -4.42, 115.82, 22.02) +TGeoTessellated 846 Local ( -4.40, 112.65, 21.18) Global ( -4.40, 112.65, 21.18) +TGeoTessellated 847 Local ( -4.56, 109.75, 19.69) Global ( -4.56, 109.75, 19.69) +TGeoTessellated 848 Local ( -4.97, 107.21, 17.39) Global ( -4.97, 107.21, 17.39) +TGeoTessellated 849 Local ( -5.83, 104.99, 14.02) Global ( -5.83, 104.99, 14.02) +TGeoTessellated 850 Local ( -6.72, 103.89, 10.98) Global ( -6.72, 103.89, 10.98) +TGeoTessellated 851 Local ( -7.01, 137.54, 11.30) Global ( -7.01, 137.54, 11.30) +TGeoTessellated 852 Local ( -8.20, 137.88, 7.34) Global ( -8.20, 137.88, 7.34) +TGeoTessellated 853 Local ( -5.79, 136.28, 15.14) Global ( -5.79, 136.28, 15.14) +TGeoTessellated 854 Local ( -4.60, 134.18, 18.61) Global ( -4.60, 134.18, 18.61) +TGeoTessellated 855 Local ( -3.50, 131.31, 21.56) Global ( -3.50, 131.31, 21.56) +TGeoTessellated 856 Local ( -2.55, 127.83, 23.84) Global ( -2.55, 127.83, 23.84) +TGeoTessellated 857 Local ( -1.78, 123.88, 25.34) Global ( -1.78, 123.88, 25.34) +TGeoTessellated 858 Local ( -1.25, 119.66, 26.01) Global ( -1.25, 119.66, 26.01) +TGeoTessellated 859 Local ( -0.96, 115.37, 25.80) Global ( -0.96, 115.37, 25.80) +TGeoTessellated 860 Local ( -0.93, 111.20, 24.70) Global ( -0.93, 111.20, 24.70) +TGeoTessellated 861 Local ( -1.16, 107.41, 22.70) Global ( -1.16, 107.41, 22.70) +TGeoTessellated 862 Local ( -1.72, 104.09, 19.68) Global ( -1.72, 104.09, 19.68) +TGeoTessellated 863 Local ( -2.86, 101.14, 15.32) Global ( -2.86, 101.14, 15.32) +TGeoTessellated 864 Local ( -4.01, 99.67, 11.32) Global ( -4.01, 99.67, 11.32) +TGeoTessellated 865 Local ( -4.42, 142.10, 11.40) Global ( -4.42, 142.10, 11.40) +TGeoTessellated 866 Local ( -5.87, 142.52, 6.55) Global ( -5.87, 142.52, 6.55) +TGeoTessellated 867 Local ( -2.92, 140.57, 16.09) Global ( -2.92, 140.57, 16.09) +TGeoTessellated 868 Local ( -1.46, 137.99, 20.33) Global ( -1.46, 137.99, 20.33) +TGeoTessellated 869 Local ( -0.12, 134.49, 23.93) Global ( -0.12, 134.49, 23.93) +TGeoTessellated 870 Local ( 1.04, 130.23, 26.72) Global ( 1.04, 130.23, 26.72) +TGeoTessellated 871 Local ( 1.98, 125.41, 28.56) Global ( 1.98, 125.41, 28.56) +TGeoTessellated 872 Local ( 2.63, 120.25, 29.37) Global ( 2.63, 120.25, 29.37) +TGeoTessellated 873 Local ( 2.98, 115.00, 29.12) Global ( 2.98, 115.00, 29.12) +TGeoTessellated 874 Local ( 3.01, 109.90, 27.80) Global ( 3.01, 109.90, 27.80) +TGeoTessellated 875 Local ( 2.72, 105.25, 25.38) Global ( 2.72, 105.25, 25.38) +TGeoTessellated 876 Local ( 2.00, 101.32, 21.49) Global ( 2.00, 101.32, 21.49) +TGeoTessellated 877 Local ( 0.69, 97.92, 16.32) Global ( 0.69, 97.92, 16.32) +TGeoTessellated 878 Local ( -0.81, 95.83, 11.36) Global ( -0.81, 95.83, 11.36) +TGeoTessellated 879 Local ( -1.30, 146.35, 11.27) Global ( -1.30, 146.35, 11.27) +TGeoTessellated 880 Local ( -3.00, 146.84, 5.61) Global ( -3.00, 146.84, 5.61) +TGeoTessellated 881 Local ( 0.46, 144.56, 16.75) Global ( 0.46, 144.56, 16.75) +TGeoTessellated 882 Local ( 2.15, 141.56, 21.70) Global ( 2.15, 141.56, 21.70) +TGeoTessellated 883 Local ( 3.72, 137.47, 25.91) Global ( 3.72, 137.47, 25.91) +TGeoTessellated 884 Local ( 5.08, 132.50, 29.16) Global ( 5.08, 132.50, 29.16) +TGeoTessellated 885 Local ( 6.17, 126.87, 31.31) Global ( 6.17, 126.87, 31.31) +TGeoTessellated 886 Local ( 6.93, 120.85, 32.26) Global ( 6.93, 120.85, 32.26) +TGeoTessellated 887 Local ( 7.34, 114.72, 31.96) Global ( 7.34, 114.72, 31.96) +TGeoTessellated 888 Local ( 7.38, 108.76, 30.42) Global ( 7.38, 108.76, 30.42) +TGeoTessellated 889 Local ( 7.03, 103.33, 27.59) Global ( 7.03, 103.33, 27.59) +TGeoTessellated 890 Local ( 6.16, 98.81, 22.92) Global ( 6.16, 98.81, 22.92) +TGeoTessellated 891 Local ( 4.67, 94.87, 16.91) Global ( 4.67, 94.87, 16.91) +TGeoTessellated 892 Local ( 2.74, 92.58, 10.98) Global ( 2.74, 92.58, 10.98) +TGeoTessellated 893 Local ( 2.30, 150.24, 10.92) Global ( 2.30, 150.24, 10.92) +TGeoTessellated 894 Local ( 0.38, 150.79, 4.53) Global ( 0.38, 150.79, 4.53) +TGeoTessellated 895 Local ( 4.28, 148.22, 17.11) Global ( 4.28, 148.22, 17.11) +TGeoTessellated 896 Local ( 6.20, 144.82, 22.70) Global ( 6.20, 144.82, 22.70) +TGeoTessellated 897 Local ( 7.96, 140.21, 27.44) Global ( 7.96, 140.21, 27.44) +TGeoTessellated 898 Local ( 9.50, 134.60, 31.12) Global ( 9.50, 134.60, 31.12) +TGeoTessellated 899 Local ( 10.73, 128.25, 33.54) Global ( 10.73, 128.25, 33.54) +TGeoTessellated 900 Local ( 11.59, 121.45, 34.61) Global ( 11.59, 121.45, 34.61) +TGeoTessellated 901 Local ( 12.05, 114.53, 34.27) Global ( 12.05, 114.53, 34.27) +TGeoTessellated 902 Local ( 12.09, 107.81, 32.54) Global ( 12.09, 107.81, 32.54) +TGeoTessellated 903 Local ( 11.70, 101.63, 29.45) Global ( 11.70, 101.63, 29.45) +TGeoTessellated 904 Local ( 10.75, 96.47, 24.17) Global ( 10.75, 96.47, 24.17) +TGeoTessellated 905 Local ( 6.33, 153.70, 10.36) Global ( 6.33, 153.70, 10.36) +TGeoTessellated 906 Local ( 4.21, 154.30, 3.33) Global ( 4.21, 154.30, 3.33) +TGeoTessellated 907 Local ( 8.50, 151.48, 17.16) Global ( 8.50, 151.48, 17.16) +TGeoTessellated 908 Local ( 10.61, 147.75, 23.31) Global ( 10.61, 147.75, 23.31) +TGeoTessellated 909 Local ( 12.55, 142.68, 28.53) Global ( 12.55, 142.68, 28.53) +TGeoTessellated 910 Local ( 14.24, 136.51, 32.56) Global ( 14.24, 136.51, 32.56) +TGeoTessellated 911 Local ( 15.59, 129.52, 35.23) Global ( 15.59, 129.52, 35.23) +TGeoTessellated 912 Local ( 16.54, 122.05, 36.41) Global ( 16.54, 122.05, 36.41) +TGeoTessellated 913 Local ( 17.05, 114.44, 36.03) Global ( 17.05, 114.44, 36.03) +TGeoTessellated 914 Local ( 17.09, 107.05, 34.13) Global ( 17.09, 107.05, 34.13) +TGeoTessellated 915 Local ( 16.66, 100.26, 30.74) Global ( 16.66, 100.26, 30.74) +TGeoTessellated 916 Local ( 15.72, 94.73, 25.79) Global ( 15.72, 94.73, 25.79) +TGeoTessellated 917 Local ( 10.72, 156.69, 9.59) Global ( 10.72, 156.69, 9.59) +TGeoTessellated 918 Local ( 8.45, 157.34, 2.02) Global ( 8.45, 157.34, 2.02) +TGeoTessellated 919 Local ( 13.06, 154.30, 16.91) Global ( 13.06, 154.30, 16.91) +TGeoTessellated 920 Local ( 15.33, 150.28, 23.52) Global ( 15.33, 150.28, 23.52) +TGeoTessellated 921 Local ( 17.42, 144.83, 29.13) Global ( 17.42, 144.83, 29.13) +TGeoTessellated 922 Local ( 19.23, 138.19, 33.48) Global ( 19.23, 138.19, 33.48) +TGeoTessellated 923 Local ( 20.69, 130.67, 36.35) Global ( 20.69, 130.67, 36.35) +TGeoTessellated 924 Local ( 21.71, 122.63, 37.61) Global ( 21.71, 122.63, 37.61) +TGeoTessellated 925 Local ( 22.26, 114.44, 37.21) Global ( 22.26, 114.44, 37.21) +TGeoTessellated 926 Local ( 22.30, 106.50, 35.16) Global ( 22.30, 106.50, 35.16) +TGeoTessellated 927 Local ( 21.83, 99.22, 31.49) Global ( 21.83, 99.22, 31.49) +TGeoTessellated 928 Local ( 20.83, 93.40, 26.60) Global ( 20.83, 93.40, 26.60) +TGeoTessellated 929 Local ( 15.42, 159.15, 8.62) Global ( 15.42, 159.15, 8.62) +TGeoTessellated 930 Local ( 13.01, 159.84, 0.63) Global ( 13.01, 159.84, 0.63) +TGeoTessellated 931 Local ( 17.89, 156.63, 16.35) Global ( 17.89, 156.63, 16.35) +TGeoTessellated 932 Local ( 20.28, 152.39, 23.34) Global ( 20.28, 152.39, 23.34) +TGeoTessellated 933 Local ( 22.49, 146.63, 29.26) Global ( 22.49, 146.63, 29.26) +TGeoTessellated 934 Local ( 24.41, 139.62, 33.85) Global ( 24.41, 139.62, 33.85) +TGeoTessellated 935 Local ( 25.94, 131.68, 36.88) Global ( 25.94, 131.68, 36.88) +TGeoTessellated 936 Local ( 27.02, 123.19, 38.22) Global ( 27.02, 123.19, 38.22) +TGeoTessellated 937 Local ( 27.60, 114.55, 37.79) Global ( 27.60, 114.55, 37.79) +TGeoTessellated 938 Local ( 27.65, 106.15, 35.63) Global ( 27.65, 106.15, 35.63) +TGeoTessellated 939 Local ( 27.16, 98.42, 31.81) Global ( 27.16, 98.42, 31.81) +TGeoTessellated 940 Local ( 26.20, 92.34, 26.79) Global ( 26.20, 92.34, 26.79) +TGeoTessellated 941 Local ( 20.35, 161.07, 7.48) Global ( 20.35, 161.07, 7.48) +TGeoTessellated 942 Local ( 17.85, 161.78, -0.83) Global ( 17.85, 161.78, -0.83) +TGeoTessellated 943 Local ( 22.91, 158.45, 15.50) Global ( 22.91, 158.45, 15.50) +TGeoTessellated 944 Local ( 25.40, 154.04, 22.75) Global ( 25.40, 154.04, 22.75) +TGeoTessellated 945 Local ( 27.69, 148.06, 28.91) Global ( 27.69, 148.06, 28.91) +TGeoTessellated 946 Local ( 29.68, 140.78, 33.67) Global ( 29.68, 140.78, 33.67) +TGeoTessellated 947 Local ( 31.27, 132.54, 36.82) Global ( 31.27, 132.54, 36.82) +TGeoTessellated 948 Local ( 32.40, 123.72, 38.20) Global ( 32.40, 123.72, 38.20) +TGeoTessellated 949 Local ( 33.04, 114.73, 37.78) Global ( 33.04, 114.73, 37.78) +TGeoTessellated 950 Local ( 33.14, 106.00, 35.55) Global ( 33.14, 106.00, 35.55) +TGeoTessellated 951 Local ( 32.59, 97.97, 31.59) Global ( 32.59, 97.97, 31.59) +TGeoTessellated 952 Local ( 31.97, 91.37, 26.23) Global ( 31.97, 91.37, 26.23) +TGeoTessellated 953 Local ( 28.03, 162.76, 5.43) Global ( 28.03, 162.76, 5.43) +TGeoTessellated 954 Local ( 25.47, 163.49, -3.09) Global ( 25.47, 163.49, -3.09) +TGeoTessellated 955 Local ( 30.67, 160.07, 13.66) Global ( 30.67, 160.07, 13.66) +TGeoTessellated 956 Local ( 33.22, 155.56, 21.11) Global ( 33.22, 155.56, 21.11) +TGeoTessellated 957 Local ( 35.57, 149.42, 27.42) Global ( 35.57, 149.42, 27.42) +TGeoTessellated 958 Local ( 37.61, 141.94, 32.31) Global ( 37.61, 141.94, 32.31) +TGeoTessellated 959 Local ( 39.25, 133.49, 35.54) Global ( 39.25, 133.49, 35.54) +TGeoTessellated 960 Local ( 40.38, 124.44, 36.89) Global ( 40.38, 124.44, 36.89) +TGeoTessellated 961 Local ( 41.08, 115.18, 36.36) Global ( 41.08, 115.18, 36.36) +TGeoTessellated 962 Local ( 41.37, 106.25, 34.34) Global ( 41.37, 106.25, 34.34) +TGeoTessellated 963 Local ( 40.57, 98.01, 30.10) Global ( 40.57, 98.01, 30.10) +TGeoTessellated 964 Local ( 39.48, 90.84, 24.59) Global ( 39.48, 90.84, 24.59) +TGeoTessellated 965 Local ( 35.82, 163.24, 3.12) Global ( 35.82, 163.24, 3.12) +TGeoTessellated 966 Local ( 33.26, 163.97, -5.38) Global ( 33.26, 163.97, -5.38) +TGeoTessellated 967 Local ( 38.44, 160.56, 11.32) Global ( 38.44, 160.56, 11.32) +TGeoTessellated 968 Local ( 40.99, 156.06, 18.74) Global ( 40.99, 156.06, 18.74) +TGeoTessellated 969 Local ( 45.56, 150.16, 24.15) Global ( 45.56, 150.16, 24.15) +TGeoTessellated 970 Local ( 46.96, 143.51, 28.53) Global ( 46.96, 143.51, 28.53) +TGeoTessellated 971 Local ( 48.77, 136.14, 30.98) Global ( 48.77, 136.14, 30.98) +TGeoTessellated 972 Local ( 48.13, 125.11, 34.17) Global ( 48.13, 125.11, 34.17) +TGeoTessellated 973 Local ( 49.53, 116.29, 34.25) Global ( 49.53, 116.29, 34.25) +TGeoTessellated 974 Local ( 49.92, 107.11, 32.43) Global ( 49.92, 107.11, 32.43) +TGeoTessellated 975 Local ( 48.69, 98.82, 27.83) Global ( 48.69, 98.82, 27.83) +TGeoTessellated 976 Local ( 47.22, 91.63, 22.18) Global ( 47.22, 91.63, 22.18) +TGeoTessellated 977 Local ( 40.95, 162.74, 1.43) Global ( 40.95, 162.74, 1.43) +TGeoTessellated 978 Local ( 38.45, 163.46, -6.88) Global ( 38.45, 163.46, -6.88) +TGeoTessellated 979 Local ( 43.52, 160.12, 9.45) Global ( 43.52, 160.12, 9.45) +TGeoTessellated 980 Local ( 47.80, 155.17, 17.39) Global ( 47.80, 155.17, 17.39) +TGeoTessellated 981 Local ( 53.19, 129.39, 30.46) Global ( 53.19, 129.39, 30.46) +TGeoTessellated 982 Local ( 57.44, 120.19, 30.35) Global ( 57.44, 120.19, 30.35) +TGeoTessellated 983 Local ( 57.76, 108.88, 29.20) Global ( 57.76, 108.88, 29.20) +TGeoTessellated 984 Local ( 56.50, 100.35, 24.89) Global ( 56.50, 100.35, 24.89) +TGeoTessellated 985 Local ( 54.44, 93.49, 18.65) Global ( 54.44, 93.49, 18.65) +TGeoTessellated 986 Local ( 45.95, 161.64, -0.34) Global ( 45.95, 161.64, -0.34) +TGeoTessellated 987 Local ( 43.54, 162.32, -8.34) Global ( 43.54, 162.32, -8.34) +TGeoTessellated 988 Local ( 50.42, 158.12, 9.95) Global ( 50.42, 158.12, 9.95) +TGeoTessellated 989 Local ( 50.73, 159.94, -2.15) Global ( 50.73, 159.94, -2.15) +TGeoTessellated 990 Local ( 48.45, 160.59, -9.73) Global ( 48.45, 160.59, -9.73) +TGeoTessellated 991 Local ( 54.32, 157.61, 6.23) Global ( 54.32, 157.61, 6.23) +TGeoTessellated 992 Local ( 63.91, 110.06, 24.72) Global ( 63.91, 110.06, 24.72) +TGeoTessellated 993 Local ( 63.80, 119.57, 25.39) Global ( 63.80, 119.57, 25.39) +TGeoTessellated 994 Local ( 62.90, 102.22, 20.90) Global ( 62.90, 102.22, 20.90) +TGeoTessellated 995 Local ( 60.77, 96.09, 14.71) Global ( 60.77, 96.09, 14.71) +TGeoTessellated 996 Local ( 55.23, 157.68, -3.99) Global ( 55.23, 157.68, -3.99) +TGeoTessellated 997 Local ( 53.12, 158.28, -11.04) Global ( 53.12, 158.28, -11.04) +TGeoTessellated 998 Local ( 58.19, 155.87, 2.81) Global ( 58.19, 155.87, 2.81) +TGeoTessellated 999 Local ( 67.75, 111.25, 20.00) Global ( 67.75, 111.25, 20.00) +TGeoTessellated 1000 Local ( 67.30, 119.57, 21.04) Global ( 67.30, 119.57, 21.04) +TGeoTessellated 1001 Local ( 67.37, 103.92, 17.15) Global ( 67.37, 103.92, 17.15) +TGeoTessellated 1002 Local ( 65.04, 98.14, 11.52) Global ( 65.04, 98.14, 11.52) +TGeoTessellated 1003 Local ( 59.39, 154.88, -5.83) Global ( 59.39, 154.88, -5.83) +TGeoTessellated 1004 Local ( 57.47, 155.43, -12.24) Global ( 57.47, 155.43, -12.24) +TGeoTessellated 1005 Local ( 62.19, 152.98, 0.10) Global ( 62.19, 152.98, 0.10) +TGeoTessellated 1006 Local ( 70.81, 112.27, 15.65) Global ( 70.81, 112.27, 15.65) +TGeoTessellated 1007 Local ( 69.70, 119.85, 16.60) Global ( 69.70, 119.85, 16.60) +TGeoTessellated 1008 Local ( 70.44, 106.04, 12.90) Global ( 70.44, 106.04, 12.90) +TGeoTessellated 1009 Local ( 68.54, 100.72, 8.20) Global ( 68.54, 100.72, 8.20) +TGeoTessellated 1010 Local ( 63.15, 151.59, -7.64) Global ( 63.15, 151.59, -7.64) +TGeoTessellated 1011 Local ( 61.44, 152.08, -13.33) Global ( 61.44, 152.08, -13.33) +TGeoTessellated 1012 Local ( 65.78, 149.43, -2.04) Global ( 65.78, 149.43, -2.04) +TGeoTessellated 1013 Local ( 72.82, 119.94, 10.92) Global ( 72.82, 119.94, 10.92) +TGeoTessellated 1014 Local ( 72.99, 113.56, 10.19) Global ( 72.99, 113.56, 10.19) +TGeoTessellated 1015 Local ( 72.61, 109.12, 7.23) Global ( 72.61, 109.12, 7.23) +TGeoTessellated 1016 Local ( 71.65, 104.99, 0.68) Global ( 71.65, 104.99, 0.68) +TGeoTessellated 1017 Local ( 66.34, 95.24, 0.15) Global ( 66.34, 95.24, 0.15) +TGeoTessellated 1018 Local ( 71.42, 102.69, -5.94) Global ( 71.42, 102.69, -5.94) +TGeoTessellated 1019 Local ( 64.35, 94.80, -12.51) Global ( 64.35, 94.80, -12.51) +TGeoTessellated 1020 Local ( 62.31, 92.59, 2.93) Global ( 62.31, 92.59, 2.93) +TGeoTessellated 1021 Local ( 60.04, 91.40, -11.08) Global ( 60.04, 91.40, -11.08) +TGeoTessellated 1022 Local ( 67.63, 145.66, -8.87) Global ( 67.63, 145.66, -8.87) +TGeoTessellated 1023 Local ( 66.12, 146.31, -14.56) Global ( 66.12, 146.31, -14.56) +TGeoTessellated 1024 Local ( 68.94, 144.64, -4.73) Global ( 68.94, 144.64, -4.73) +TGeoTessellated 1025 Local ( 67.97, 143.19, -15.02) Global ( 67.97, 143.19, -15.02) +TGeoTessellated 1026 Local ( 69.84, 141.84, -9.31) Global ( 69.84, 141.84, -9.31) +TGeoTessellated 1027 Local ( 71.88, 138.75, -9.69) Global ( 71.88, 138.75, -9.69) +TGeoTessellated 1028 Local ( 69.99, 140.17, -15.54) Global ( 69.99, 140.17, -15.54) +TGeoTessellated 1029 Local ( -11.38, 117.63, 8.78) Global ( -11.38, 117.63, 8.78) +TGeoTessellated 1030 Local ( 61.77, 138.74, 16.95) Global ( 61.77, 138.74, 16.95) +TGeoTessellated 1031 Local ( 63.45, 140.11, 15.30) Global ( 63.45, 140.11, 15.30) +TGeoTessellated 1032 Local ( 62.35, 141.45, 15.19) Global ( 62.35, 141.45, 15.19) +TGeoTessellated 1033 Local ( 60.77, 140.45, 16.66) Global ( 60.77, 140.45, 16.66) +TGeoTessellated 1034 Local ( 59.61, 139.75, 17.59) Global ( 59.61, 139.75, 17.59) +TGeoTessellated 1035 Local ( 60.56, 137.58, 18.00) Global ( 60.56, 137.58, 18.00) +TGeoTessellated 1036 Local ( 60.12, 142.07, 15.98) Global ( 60.12, 142.07, 15.98) +TGeoTessellated 1037 Local ( 59.18, 141.82, 16.54) Global ( 59.18, 141.82, 16.54) +TGeoTessellated 1038 Local ( 61.45, 142.59, 14.91) Global ( 61.45, 142.59, 14.91) +TGeoTessellated 1039 Local ( 64.11, 135.62, 16.42) Global ( 64.11, 135.62, 16.42) +TGeoTessellated 1040 Local ( 65.59, 137.24, 14.98) Global ( 65.59, 137.24, 14.98) +TGeoTessellated 1041 Local ( 64.57, 138.67, 15.22) Global ( 64.57, 138.67, 15.22) +TGeoTessellated 1042 Local ( 62.94, 137.10, 16.87) Global ( 62.94, 137.10, 16.87) +TGeoTessellated 1043 Local ( 61.75, 135.58, 17.82) Global ( 61.75, 135.58, 17.82) +TGeoTessellated 1044 Local ( 63.04, 133.98, 17.15) Global ( 63.04, 133.98, 17.15) +TGeoTessellated 1045 Local ( 65.95, 133.39, 14.72) Global ( 65.95, 133.39, 14.72) +TGeoTessellated 1046 Local ( 66.80, 134.63, 14.13) Global ( 66.80, 134.63, 14.13) +TGeoTessellated 1047 Local ( 66.35, 135.86, 14.60) Global ( 66.35, 135.86, 14.60) +TGeoTessellated 1048 Local ( 65.12, 134.36, 15.65) Global ( 65.12, 134.36, 15.65) +TGeoTessellated 1049 Local ( 64.34, 132.87, 16.12) Global ( 64.34, 132.87, 16.12) +TGeoTessellated 1050 Local ( 65.42, 132.10, 14.91) Global ( 65.42, 132.10, 14.91) +TGeoTessellated 1051 Local ( 67.29, 132.94, 12.87) Global ( 67.29, 132.94, 12.87) +TGeoTessellated 1052 Local ( 67.39, 133.65, 13.20) Global ( 67.39, 133.65, 13.20) +TGeoTessellated 1053 Local ( 66.95, 133.71, 13.82) Global ( 66.95, 133.71, 13.82) +TGeoTessellated 1054 Local ( 66.60, 132.83, 13.80) Global ( 66.60, 132.83, 13.80) +TGeoTessellated 1055 Local ( 66.37, 131.79, 13.67) Global ( 66.37, 131.79, 13.67) +TGeoTessellated 1056 Local ( 67.22, 132.02, 12.45) Global ( 67.22, 132.02, 12.45) +TGeoTessellated 1057 Local ( 67.91, 133.73, 12.05) Global ( 67.91, 133.73, 12.05) +TGeoTessellated 1058 Local ( 67.97, 132.89, 11.32) Global ( 67.97, 132.89, 11.32) +TGeoTessellated 1059 Local ( 68.52, 134.31, 10.32) Global ( 68.52, 134.31, 10.32) +TGeoTessellated 1060 Local ( 68.28, 135.01, 11.50) Global ( 68.28, 135.01, 11.50) +TGeoTessellated 1061 Local ( 67.74, 135.28, 12.87) Global ( 67.74, 135.28, 12.87) +TGeoTessellated 1062 Local ( 67.79, 134.28, 12.74) Global ( 67.79, 134.28, 12.74) +TGeoTessellated 1063 Local ( 67.76, 138.35, 10.80) Global ( 67.76, 138.35, 10.80) +TGeoTessellated 1064 Local ( 66.89, 138.19, 12.97) Global ( 66.89, 138.19, 12.97) +TGeoTessellated 1065 Local ( 67.49, 136.67, 12.93) Global ( 67.49, 136.67, 12.93) +TGeoTessellated 1066 Local ( 68.25, 136.62, 11.07) Global ( 68.25, 136.62, 11.07) +TGeoTessellated 1067 Local ( 68.67, 136.09, 9.51) Global ( 68.67, 136.09, 9.51) +TGeoTessellated 1068 Local ( 68.29, 138.06, 8.97) Global ( 68.29, 138.06, 8.97) +TGeoTessellated 1069 Local ( 65.65, 141.68, 10.92) Global ( 65.65, 141.68, 10.92) +TGeoTessellated 1070 Local ( 64.82, 141.13, 13.15) Global ( 64.82, 141.13, 13.15) +TGeoTessellated 1071 Local ( 65.94, 139.69, 13.03) Global ( 65.94, 139.69, 13.03) +TGeoTessellated 1072 Local ( 66.87, 140.08, 10.74) Global ( 66.87, 140.08, 10.74) +TGeoTessellated 1073 Local ( 67.36, 140.04, 8.78) Global ( 67.36, 140.04, 8.78) +TGeoTessellated 1074 Local ( 66.01, 141.89, 9.06) Global ( 66.01, 141.89, 9.06) +TGeoTessellated 1075 Local ( 62.86, 143.97, 11.73) Global ( 62.86, 143.97, 11.73) +TGeoTessellated 1076 Local ( 62.52, 143.34, 13.25) Global ( 62.52, 143.34, 13.25) +TGeoTessellated 1077 Local ( 63.61, 142.37, 13.23) Global ( 63.61, 142.37, 13.23) +TGeoTessellated 1078 Local ( 64.26, 143.01, 11.26) Global ( 64.26, 143.01, 11.26) +TGeoTessellated 1079 Local ( 64.42, 143.37, 9.70) Global ( 64.42, 143.37, 9.70) +TGeoTessellated 1080 Local ( 62.78, 144.36, 10.60) Global ( 62.78, 144.36, 10.60) +TGeoTessellated 1081 Local ( 60.61, 144.20, 13.62) Global ( 60.61, 144.20, 13.62) +TGeoTessellated 1082 Local ( 61.07, 143.95, 13.85) Global ( 61.07, 143.95, 13.85) +TGeoTessellated 1083 Local ( 61.78, 144.01, 13.14) Global ( 61.78, 144.01, 13.14) +TGeoTessellated 1084 Local ( 61.62, 144.40, 12.44) Global ( 61.62, 144.40, 12.44) +TGeoTessellated 1085 Local ( 61.32, 144.77, 11.77) Global ( 61.32, 144.77, 11.77) +TGeoTessellated 1086 Local ( 60.11, 144.46, 13.34) Global ( 60.11, 144.46, 13.34) +TGeoTessellated 1087 Local ( 60.80, 143.34, 14.69) Global ( 60.80, 143.34, 14.69) +TGeoTessellated 1088 Local ( 60.04, 143.35, 14.94) Global ( 60.04, 143.35, 14.94) +TGeoTessellated 1089 Local ( 59.33, 143.46, 15.08) Global ( 59.33, 143.46, 15.08) +TGeoTessellated 1090 Local ( 59.95, 137.58, 21.20) Global ( 59.95, 137.58, 21.20) +TGeoTessellated 1091 Local ( 61.53, 134.53, 20.66) Global ( 61.53, 134.53, 20.66) +TGeoTessellated 1092 Local ( 61.88, 134.83, 19.59) Global ( 61.88, 134.83, 19.59) +TGeoTessellated 1093 Local ( 60.46, 137.46, 20.04) Global ( 60.46, 137.46, 20.04) +TGeoTessellated 1094 Local ( 63.58, 133.45, 17.78) Global ( 63.58, 133.45, 17.78) +TGeoTessellated 1095 Local ( 62.22, 135.13, 18.52) Global ( 62.22, 135.13, 18.52) +TGeoTessellated 1096 Local ( 63.48, 132.86, 18.77) Global ( 63.48, 132.86, 18.77) +TGeoTessellated 1097 Local ( 60.60, 148.73, 14.56) Global ( 60.60, 148.73, 14.56) +TGeoTessellated 1098 Local ( 59.51, 147.33, 17.31) Global ( 59.51, 147.33, 17.31) +TGeoTessellated 1099 Local ( 59.76, 145.79, 16.51) Global ( 59.76, 145.79, 16.51) +TGeoTessellated 1100 Local ( 60.75, 147.03, 14.12) Global ( 60.75, 147.03, 14.12) +TGeoTessellated 1101 Local ( 59.60, 142.39, 17.39) Global ( 59.60, 142.39, 17.39) +TGeoTessellated 1102 Local ( 60.02, 144.25, 15.71) Global ( 60.02, 144.25, 15.71) +TGeoTessellated 1103 Local ( 59.19, 143.59, 18.44) Global ( 59.19, 143.59, 18.44) +TGeoTessellated 1104 Local ( 58.79, 144.78, 19.48) Global ( 58.79, 144.78, 19.48) +TGeoTessellated 1105 Local ( 58.83, 141.20, 20.81) Global ( 58.83, 141.20, 20.81) +TGeoTessellated 1106 Local ( 59.41, 140.57, 19.66) Global ( 59.41, 140.57, 19.66) +TGeoTessellated 1107 Local ( 60.97, 137.35, 18.88) Global ( 60.97, 137.35, 18.88) +TGeoTessellated 1108 Local ( 59.98, 139.93, 18.52) Global ( 59.98, 139.93, 18.52) +TGeoTessellated 1109 Local ( 63.36, 132.24, 19.78) Global ( 63.36, 132.24, 19.78) +TGeoTessellated 1110 Local ( 65.37, 130.71, 18.63) Global ( 65.37, 130.71, 18.63) +TGeoTessellated 1111 Local ( 65.17, 131.50, 17.70) Global ( 65.17, 131.50, 17.70) +TGeoTessellated 1112 Local ( 66.14, 131.52, 15.50) Global ( 66.14, 131.52, 15.50) +TGeoTessellated 1113 Local ( 64.93, 132.28, 16.79) Global ( 64.93, 132.28, 16.79) +TGeoTessellated 1114 Local ( 66.57, 130.65, 16.18) Global ( 66.57, 130.65, 16.18) +TGeoTessellated 1115 Local ( 67.01, 129.76, 16.88) Global ( 67.01, 129.76, 16.88) +TGeoTessellated 1116 Local ( 68.30, 129.39, 14.76) Global ( 68.30, 129.39, 14.76) +TGeoTessellated 1117 Local ( 67.74, 130.32, 14.39) Global ( 67.74, 130.32, 14.39) +TGeoTessellated 1118 Local ( 68.10, 131.47, 12.48) Global ( 68.10, 131.47, 12.48) +TGeoTessellated 1119 Local ( 67.18, 131.24, 14.02) Global ( 67.18, 131.24, 14.02) +TGeoTessellated 1120 Local ( 68.80, 130.58, 12.53) Global ( 68.80, 130.58, 12.53) +TGeoTessellated 1121 Local ( 69.53, 133.88, 9.65) Global ( 69.53, 133.88, 9.65) +TGeoTessellated 1122 Local ( 68.90, 132.34, 10.99) Global ( 68.90, 132.34, 10.99) +TGeoTessellated 1123 Local ( 69.82, 131.74, 10.69) Global ( 69.82, 131.74, 10.69) +TGeoTessellated 1124 Local ( 70.62, 133.64, 9.00) Global ( 70.62, 133.64, 9.00) +TGeoTessellated 1125 Local ( 69.50, 129.71, 12.57) Global ( 69.50, 129.71, 12.57) +TGeoTessellated 1126 Local ( 70.76, 131.10, 10.31) Global ( 70.76, 131.10, 10.31) +TGeoTessellated 1127 Local ( 71.58, 133.39, 8.20) Global ( 71.58, 133.39, 8.20) +TGeoTessellated 1128 Local ( 71.44, 136.08, 6.67) Global ( 71.44, 136.08, 6.67) +TGeoTessellated 1129 Local ( 70.65, 135.98, 7.71) Global ( 70.65, 135.98, 7.71) +TGeoTessellated 1130 Local ( 69.42, 138.27, 7.76) Global ( 69.42, 138.27, 7.76) +TGeoTessellated 1131 Local ( 69.77, 135.95, 8.51) Global ( 69.77, 135.95, 8.51) +TGeoTessellated 1132 Local ( 70.03, 138.53, 6.88) Global ( 70.03, 138.53, 6.88) +TGeoTessellated 1133 Local ( 70.62, 138.85, 5.83) Global ( 70.62, 138.85, 5.83) +TGeoTessellated 1134 Local ( 69.18, 141.70, 5.63) Global ( 69.18, 141.70, 5.63) +TGeoTessellated 1135 Local ( 68.79, 141.11, 6.63) Global ( 68.79, 141.11, 6.63) +TGeoTessellated 1136 Local ( 66.84, 142.63, 8.00) Global ( 66.84, 142.63, 8.00) +TGeoTessellated 1137 Local ( 68.38, 140.57, 7.56) Global ( 68.38, 140.57, 7.56) +TGeoTessellated 1138 Local ( 67.08, 143.51, 7.14) Global ( 67.08, 143.51, 7.14) +TGeoTessellated 1139 Local ( 67.32, 144.40, 6.28) Global ( 67.32, 144.40, 6.28) +TGeoTessellated 1140 Local ( 65.22, 146.71, 7.64) Global ( 65.22, 146.71, 7.64) +TGeoTessellated 1141 Local ( 65.10, 145.46, 8.28) Global ( 65.10, 145.46, 8.28) +TGeoTessellated 1142 Local ( 63.34, 145.24, 10.19) Global ( 63.34, 145.24, 10.19) +TGeoTessellated 1143 Local ( 64.99, 144.21, 8.93) Global ( 64.99, 144.21, 8.93) +TGeoTessellated 1144 Local ( 63.41, 146.81, 9.84) Global ( 63.41, 146.81, 9.84) +TGeoTessellated 1145 Local ( 63.48, 148.38, 9.50) Global ( 63.48, 148.38, 9.50) +TGeoTessellated 1146 Local ( 61.95, 149.10, 11.82) Global ( 61.95, 149.10, 11.82) +TGeoTessellated 1147 Local ( 61.97, 147.35, 11.78) Global ( 61.97, 147.35, 11.78) +TGeoTessellated 1148 Local ( 60.90, 145.33, 13.67) Global ( 60.90, 145.33, 13.67) +TGeoTessellated 1149 Local ( 62.00, 145.61, 11.75) Global ( 62.00, 145.61, 11.75) +TGeoTessellated 1150 Local ( 64.19, 132.05, 16.37) Global ( 64.19, 132.05, 16.37) +TGeoTessellated 1151 Local ( 65.38, 131.32, 15.03) Global ( 65.38, 131.32, 15.03) +TGeoTessellated 1152 Local ( 62.82, 133.18, 17.46) Global ( 62.82, 133.18, 17.46) +TGeoTessellated 1153 Local ( 59.21, 139.49, 18.06) Global ( 59.21, 139.49, 18.06) +TGeoTessellated 1154 Local ( 60.17, 137.06, 18.46) Global ( 60.17, 137.06, 18.46) +TGeoTessellated 1155 Local ( 58.81, 141.77, 16.84) Global ( 58.81, 141.77, 16.84) +TGeoTessellated 1156 Local ( 61.41, 134.89, 18.19) Global ( 61.41, 134.89, 18.19) +TGeoTessellated 1157 Local ( 66.41, 131.05, 13.61) Global ( 66.41, 131.05, 13.61) +TGeoTessellated 1158 Local ( 67.31, 131.31, 12.19) Global ( 67.31, 131.31, 12.19) +TGeoTessellated 1159 Local ( 59.04, 143.57, 15.17) Global ( 59.04, 143.57, 15.17) +TGeoTessellated 1160 Local ( 59.90, 144.63, 13.21) Global ( 59.90, 144.63, 13.21) +TGeoTessellated 1161 Local ( 68.08, 132.19, 10.83) Global ( 68.08, 132.19, 10.83) +TGeoTessellated 1162 Local ( 68.69, 133.70, 9.63) Global ( 68.69, 133.70, 9.63) +TGeoTessellated 1163 Local ( 61.15, 144.97, 11.43) Global ( 61.15, 144.97, 11.43) +TGeoTessellated 1164 Local ( 62.68, 144.57, 10.01) Global ( 62.68, 144.57, 10.01) +TGeoTessellated 1165 Local ( 68.95, 135.62, 8.62) Global ( 68.95, 135.62, 8.62) +TGeoTessellated 1166 Local ( 68.59, 137.78, 7.94) Global ( 68.59, 137.78, 7.94) +TGeoTessellated 1167 Local ( 64.39, 143.53, 8.86) Global ( 64.39, 143.53, 8.86) +TGeoTessellated 1168 Local ( 66.14, 141.97, 8.03) Global ( 66.14, 141.97, 8.03) +TGeoTessellated 1169 Local ( 67.58, 139.95, 7.73) Global ( 67.58, 139.95, 7.73) +TGeoTessellated 1170 Local ( 71.75, 130.02, 9.57) Global ( 71.75, 130.02, 9.57) +TGeoTessellated 1171 Local ( 72.52, 132.98, 6.71) Global ( 72.52, 132.98, 6.71) +TGeoTessellated 1172 Local ( 70.30, 128.19, 12.73) Global ( 70.30, 128.19, 12.73) +TGeoTessellated 1173 Local ( 72.12, 136.32, 4.77) Global ( 72.12, 136.32, 4.77) +TGeoTessellated 1174 Local ( 70.89, 139.70, 3.88) Global ( 70.89, 139.70, 3.88) +TGeoTessellated 1175 Local ( 59.29, 134.20, 23.82) Global ( 59.29, 134.20, 23.82) +TGeoTessellated 1176 Local ( 62.35, 131.16, 22.75) Global ( 62.35, 131.16, 22.75) +TGeoTessellated 1177 Local ( 57.32, 138.17, 24.47) Global ( 57.32, 138.17, 24.47) +TGeoTessellated 1178 Local ( 65.08, 149.36, 5.97) Global ( 65.08, 149.36, 5.97) +TGeoTessellated 1179 Local ( 62.69, 151.57, 8.16) Global ( 62.69, 151.57, 8.16) +TGeoTessellated 1180 Local ( 67.39, 146.28, 4.41) Global ( 67.39, 146.28, 4.41) +TGeoTessellated 1181 Local ( 56.95, 150.41, 18.54) Global ( 56.95, 150.41, 18.54) +TGeoTessellated 1182 Local ( 56.01, 147.33, 21.70) Global ( 56.01, 147.33, 21.70) +TGeoTessellated 1183 Local ( 58.54, 152.15, 14.79) Global ( 58.54, 152.15, 14.79) +TGeoTessellated 1184 Local ( 56.13, 142.95, 23.79) Global ( 56.13, 142.95, 23.79) +TGeoTessellated 1185 Local ( 65.21, 129.28, 20.99) Global ( 65.21, 129.28, 20.99) +TGeoTessellated 1186 Local ( 67.42, 128.20, 18.57) Global ( 67.42, 128.20, 18.57) +TGeoTessellated 1187 Local ( 68.96, 127.78, 15.80) Global ( 68.96, 127.78, 15.80) +TGeoTessellated 1188 Local ( 69.30, 142.99, 3.70) Global ( 69.30, 142.99, 3.70) +TGeoTessellated 1189 Local ( 60.55, 152.61, 11.19) Global ( 60.55, 152.61, 11.19) +TGeoTessellated 1190 Local ( 72.60, 127.57, 8.48) Global ( 72.60, 127.57, 8.48) +TGeoTessellated 1191 Local ( 72.95, 131.63, 4.33) Global ( 72.95, 131.63, 4.33) +TGeoTessellated 1192 Local ( 71.36, 125.34, 12.61) Global ( 71.36, 125.34, 12.61) +TGeoTessellated 1193 Local ( 72.40, 136.10, 1.70) Global ( 72.40, 136.10, 1.70) +TGeoTessellated 1194 Local ( 70.90, 140.29, 0.80) Global ( 70.90, 140.29, 0.80) +TGeoTessellated 1195 Local ( 56.52, 132.61, 27.69) Global ( 56.52, 132.61, 27.69) +TGeoTessellated 1196 Local ( 60.41, 128.49, 25.35) Global ( 60.41, 128.49, 25.35) +TGeoTessellated 1197 Local ( 53.36, 137.37, 28.10) Global ( 53.36, 137.37, 28.10) +TGeoTessellated 1198 Local ( 63.69, 151.68, 3.09) Global ( 63.69, 151.68, 3.09) +TGeoTessellated 1199 Local ( 60.18, 154.45, 5.66) Global ( 60.18, 154.45, 5.66) +TGeoTessellated 1200 Local ( 66.85, 148.15, 1.55) Global ( 66.85, 148.15, 1.55) +TGeoTessellated 1201 Local ( 52.02, 153.01, 18.93) Global ( 52.02, 153.01, 18.93) +TGeoTessellated 1202 Local ( 50.46, 149.32, 23.46) Global ( 50.46, 149.32, 23.46) +TGeoTessellated 1203 Local ( 54.48, 155.19, 14.10) Global ( 54.48, 155.19, 14.10) +TGeoTessellated 1204 Local ( 51.12, 144.23, 26.84) Global ( 51.12, 144.23, 26.84) +TGeoTessellated 1205 Local ( 63.99, 126.51, 22.52) Global ( 63.99, 126.51, 22.52) +TGeoTessellated 1206 Local ( 66.81, 125.61, 19.64) Global ( 66.81, 125.61, 19.64) +TGeoTessellated 1207 Local ( 69.22, 125.24, 16.53) Global ( 69.22, 125.24, 16.53) +TGeoTessellated 1208 Local ( 69.05, 144.32, 0.69) Global ( 69.05, 144.32, 0.69) +TGeoTessellated 1209 Local ( 57.22, 155.66, 9.56) Global ( 57.22, 155.66, 9.56) +TGeoTessellated 1210 Local ( 73.82, 124.05, 6.89) Global ( 73.82, 124.05, 6.89) +TGeoTessellated 1211 Local ( 73.96, 129.87, 0.96) Global ( 73.96, 129.87, 0.96) +TGeoTessellated 1212 Local ( 72.93, 135.43, -3.25) Global ( 72.93, 135.43, -3.25) +TGeoTessellated 1213 Local ( 71.12, 140.24, -3.87) Global ( 71.12, 140.24, -3.87) +TGeoTessellated 1214 Local ( 75.92, 117.53, -9.43) Global ( 75.92, 117.53, -9.43) +TGeoTessellated 1215 Local ( 76.16, 116.57, -8.83) Global ( 76.16, 116.57, -8.83) +TGeoTessellated 1216 Local ( 74.96, 116.55, -9.74) Global ( 74.96, 116.55, -9.74) +TGeoTessellated 1217 Local ( 75.08, 116.37, -9.04) Global ( 75.08, 116.37, -9.04) +TGeoTessellated 1218 Local ( 75.97, 116.04, -9.92) Global ( 75.97, 116.04, -9.92) +TGeoTessellated 1219 Local ( 74.68, 117.23, -13.30) Global ( 74.68, 117.23, -13.30) +TGeoTessellated 1220 Local ( 75.42, 115.88, -13.85) Global ( 75.42, 115.88, -13.85) +TGeoTessellated 1221 Local ( 74.87, 115.81, -16.40) Global ( 74.87, 115.81, -16.40) +TGeoTessellated 1222 Local ( 74.04, 117.16, -16.16) Global ( 74.04, 117.16, -16.16) +TGeoTessellated 1223 Local ( 75.71, 115.89, -11.71) Global ( 75.71, 115.89, -11.71) +TGeoTessellated 1224 Local ( 74.75, 116.96, -11.25) Global ( 74.75, 116.96, -11.25) +TGeoTessellated 1225 Local ( 76.05, 119.44, -12.66) Global ( 76.05, 119.44, -12.66) +TGeoTessellated 1226 Local ( 75.74, 118.73, -10.87) Global ( 75.74, 118.73, -10.87) +TGeoTessellated 1227 Local ( 77.82, 121.53, -17.39) Global ( 77.82, 121.53, -17.39) +TGeoTessellated 1228 Local ( 78.80, 121.53, -13.66) Global ( 78.80, 121.53, -13.66) +TGeoTessellated 1229 Local ( 75.05, 119.16, -16.44) Global ( 75.05, 119.16, -16.44) +TGeoTessellated 1230 Local ( 76.96, 122.21, 2.94) Global ( 76.96, 122.21, 2.94) +TGeoTessellated 1231 Local ( 78.17, 127.11, -4.46) Global ( 78.17, 127.11, -4.46) +TGeoTessellated 1232 Local ( 76.61, 127.50, -3.81) Global ( 76.61, 127.50, -3.81) +TGeoTessellated 1233 Local ( 75.63, 121.86, 3.66) Global ( 75.63, 121.86, 3.66) +TGeoTessellated 1234 Local ( 75.23, 128.38, -2.76) Global ( 75.23, 128.38, -2.76) +TGeoTessellated 1235 Local ( 74.99, 120.81, 6.20) Global ( 74.99, 120.81, 6.20) +TGeoTessellated 1236 Local ( 75.84, 108.16, -4.46) Global ( 75.84, 108.16, -4.46) +TGeoTessellated 1237 Local ( 72.50, 108.22, -2.09) Global ( 72.50, 108.22, -2.09) +TGeoTessellated 1238 Local ( 73.04, 106.88, -10.31) Global ( 73.04, 106.88, -10.31) +TGeoTessellated 1239 Local ( 75.87, 107.34, -11.00) Global ( 75.87, 107.34, -11.00) +TGeoTessellated 1240 Local ( 75.21, 106.53, -16.28) Global ( 75.21, 106.53, -16.28) +TGeoTessellated 1241 Local ( 72.32, 105.97, -15.26) Global ( 72.32, 105.97, -15.26) +TGeoTessellated 1242 Local ( 75.65, 131.46, -7.42) Global ( 75.65, 131.46, -7.42) +TGeoTessellated 1243 Local ( 74.29, 131.79, -6.84) Global ( 74.29, 131.79, -6.84) +TGeoTessellated 1244 Local ( 74.17, 134.77, -11.96) Global ( 74.17, 134.77, -11.96) +TGeoTessellated 1245 Local ( 73.01, 134.72, -11.63) Global ( 73.01, 134.72, -11.63) +TGeoTessellated 1246 Local ( 77.67, 130.92, -7.97) Global ( 77.67, 130.92, -7.97) +TGeoTessellated 1247 Local ( 75.99, 134.18, -12.44) Global ( 75.99, 134.18, -12.44) +TGeoTessellated 1248 Local ( 81.60, 122.87, 0.83) Global ( 81.60, 122.87, 0.83) +TGeoTessellated 1249 Local ( 81.77, 127.62, -5.91) Global ( 81.77, 127.62, -5.91) +TGeoTessellated 1250 Local ( 79.95, 127.38, -5.13) Global ( 79.95, 127.38, -5.13) +TGeoTessellated 1251 Local ( 79.60, 122.78, 2.00) Global ( 79.60, 122.78, 2.00) +TGeoTessellated 1252 Local ( 76.42, 117.36, 7.50) Global ( 76.42, 117.36, 7.50) +TGeoTessellated 1253 Local ( 79.50, 117.66, 6.73) Global ( 79.50, 117.66, 6.73) +TGeoTessellated 1254 Local ( 79.61, 120.36, 4.89) Global ( 79.61, 120.36, 4.89) +TGeoTessellated 1255 Local ( 76.63, 120.21, 6.08) Global ( 76.63, 120.21, 6.08) +TGeoTessellated 1256 Local ( 82.19, 117.11, 4.67) Global ( 82.19, 117.11, 4.67) +TGeoTessellated 1257 Local ( 82.39, 119.94, 3.28) Global ( 82.39, 119.94, 3.28) +TGeoTessellated 1258 Local ( 79.55, 114.31, 5.91) Global ( 79.55, 114.31, 5.91) +TGeoTessellated 1259 Local ( 76.68, 114.04, 7.20) Global ( 76.68, 114.04, 7.20) +TGeoTessellated 1260 Local ( 78.35, 108.47, -5.80) Global ( 78.35, 108.47, -5.80) +TGeoTessellated 1261 Local ( 79.03, 110.01, 1.66) Global ( 79.03, 110.01, 1.66) +TGeoTessellated 1262 Local ( 76.44, 109.88, 3.39) Global ( 76.44, 109.88, 3.39) +TGeoTessellated 1263 Local ( 81.46, 110.90, -0.30) Global ( 81.46, 110.90, -0.30) +TGeoTessellated 1264 Local ( 80.73, 108.79, -7.13) Global ( 80.73, 108.79, -7.13) +TGeoTessellated 1265 Local ( 78.01, 107.64, -12.02) Global ( 78.01, 107.64, -12.02) +TGeoTessellated 1266 Local ( 80.12, 108.12, -13.62) Global ( 80.12, 108.12, -13.62) +TGeoTessellated 1267 Local ( 77.35, 106.90, -16.91) Global ( 77.35, 106.90, -16.91) +TGeoTessellated 1268 Local ( 79.86, 107.31, -17.66) Global ( 79.86, 107.31, -17.66) +TGeoTessellated 1269 Local ( 77.85, 133.56, -12.95) Global ( 77.85, 133.56, -12.95) +TGeoTessellated 1270 Local ( 79.53, 130.76, -8.48) Global ( 79.53, 130.76, -8.48) +TGeoTessellated 1271 Local ( 81.34, 130.61, -9.06) Global ( 81.34, 130.61, -9.06) +TGeoTessellated 1272 Local ( 80.13, 132.84, -13.58) Global ( 80.13, 132.84, -13.58) +TGeoTessellated 1273 Local ( 83.48, 116.15, 2.63) Global ( 83.48, 116.15, 2.63) +TGeoTessellated 1274 Local ( 83.51, 117.68, 2.47) Global ( 83.51, 117.68, 2.47) +TGeoTessellated 1275 Local ( 83.00, 114.03, 3.50) Global ( 83.00, 114.03, 3.50) +TGeoTessellated 1276 Local ( 91.17, 112.26, -10.12) Global ( 91.17, 112.26, -10.12) +TGeoTessellated 1277 Local ( 90.38, 110.63, -9.16) Global ( 90.38, 110.63, -9.16) +TGeoTessellated 1278 Local ( 91.76, 108.67, -14.13) Global ( 91.76, 108.67, -14.13) +TGeoTessellated 1279 Local ( 92.43, 111.04, -14.80) Global ( 92.43, 111.04, -14.80) +TGeoTessellated 1280 Local ( 88.86, 109.10, -9.27) Global ( 88.86, 109.10, -9.27) +TGeoTessellated 1281 Local ( 89.26, 107.90, -12.78) Global ( 89.26, 107.90, -12.78) +TGeoTessellated 1282 Local ( 92.13, 109.89, -18.01) Global ( 92.13, 109.89, -18.01) +TGeoTessellated 1283 Local ( 91.32, 107.27, -17.68) Global ( 91.32, 107.27, -17.68) +TGeoTessellated 1284 Local ( 90.47, 107.07, -20.74) Global ( 90.47, 107.07, -20.74) +TGeoTessellated 1285 Local ( 91.39, 109.46, -21.10) Global ( 91.39, 109.46, -21.10) +TGeoTessellated 1286 Local ( 88.98, 106.67, -16.75) Global ( 88.98, 106.67, -16.75) +TGeoTessellated 1287 Local ( 88.30, 106.16, -20.08) Global ( 88.30, 106.16, -20.08) +TGeoTessellated 1288 Local ( 94.40, 138.40, -17.18) Global ( 94.40, 138.40, -17.18) +TGeoTessellated 1289 Local ( 94.35, 135.80, -11.37) Global ( 94.35, 135.80, -11.37) +TGeoTessellated 1290 Local ( 96.18, 134.04, -11.49) Global ( 96.18, 134.04, -11.49) +TGeoTessellated 1291 Local ( 96.10, 136.79, -17.48) Global ( 96.10, 136.79, -17.48) +TGeoTessellated 1292 Local ( 93.88, 131.65, -7.45) Global ( 93.88, 131.65, -7.45) +TGeoTessellated 1293 Local ( 95.40, 129.40, -7.58) Global ( 95.40, 129.40, -7.58) +TGeoTessellated 1294 Local ( 81.97, 117.71, -6.58) Global ( 81.97, 117.71, -6.58) +TGeoTessellated 1295 Local ( 79.20, 116.40, -7.75) Global ( 79.20, 116.40, -7.75) +TGeoTessellated 1296 Local ( 78.98, 118.66, -9.34) Global ( 78.98, 118.66, -9.34) +TGeoTessellated 1297 Local ( 82.34, 119.58, -9.27) Global ( 82.34, 119.58, -9.27) +TGeoTessellated 1298 Local ( 81.62, 116.03, -5.37) Global ( 81.62, 116.03, -5.37) +TGeoTessellated 1299 Local ( 82.39, 115.79, -3.40) Global ( 82.39, 115.79, -3.40) +TGeoTessellated 1300 Local ( 78.27, 115.77, -9.79) Global ( 78.27, 115.77, -9.79) +TGeoTessellated 1301 Local ( 80.84, 115.37, -9.65) Global ( 80.84, 115.37, -9.65) +TGeoTessellated 1302 Local ( 79.87, 114.49, -14.89) Global ( 79.87, 114.49, -14.89) +TGeoTessellated 1303 Local ( 77.42, 115.06, -14.40) Global ( 77.42, 115.06, -14.40) +TGeoTessellated 1304 Local ( 77.81, 115.26, -12.08) Global ( 77.81, 115.26, -12.08) +TGeoTessellated 1305 Local ( 80.32, 114.82, -12.48) Global ( 80.32, 114.82, -12.48) +TGeoTessellated 1306 Local ( 76.83, 114.94, -16.96) Global ( 76.83, 114.94, -16.96) +TGeoTessellated 1307 Local ( 79.30, 114.29, -17.66) Global ( 79.30, 114.29, -17.66) +TGeoTessellated 1308 Local ( 83.18, 123.38, -0.57) Global ( 83.18, 123.38, -0.57) +TGeoTessellated 1309 Local ( 83.54, 128.01, -6.79) Global ( 83.54, 128.01, -6.79) +TGeoTessellated 1310 Local ( 85.26, 124.59, -1.81) Global ( 85.26, 124.59, -1.81) +TGeoTessellated 1311 Local ( 84.83, 129.21, -7.48) Global ( 84.83, 129.21, -7.48) +TGeoTessellated 1312 Local ( 83.54, 116.90, -3.10) Global ( 83.54, 116.90, -3.10) +TGeoTessellated 1313 Local ( 84.13, 118.57, -6.36) Global ( 84.13, 118.57, -6.36) +TGeoTessellated 1314 Local ( 86.27, 119.31, -6.66) Global ( 86.27, 119.31, -6.66) +TGeoTessellated 1315 Local ( 85.75, 117.81, -3.53) Global ( 85.75, 117.81, -3.53) +TGeoTessellated 1316 Local ( 84.77, 120.48, -9.37) Global ( 84.77, 120.48, -9.37) +TGeoTessellated 1317 Local ( 86.82, 121.41, -9.53) Global ( 86.82, 121.41, -9.53) +TGeoTessellated 1318 Local ( 85.72, 117.81, -1.10) Global ( 85.72, 117.81, -1.10) +TGeoTessellated 1319 Local ( 83.39, 117.03, -0.32) Global ( 83.39, 117.03, -0.32) +TGeoTessellated 1320 Local ( 82.83, 116.07, -0.24) Global ( 82.83, 116.07, -0.24) +TGeoTessellated 1321 Local ( 82.88, 115.66, -0.54) Global ( 82.88, 115.66, -0.54) +TGeoTessellated 1322 Local ( 84.04, 118.31, 1.25) Global ( 84.04, 118.31, 1.25) +TGeoTessellated 1323 Local ( 85.91, 118.89, 0.33) Global ( 85.91, 118.89, 0.33) +TGeoTessellated 1324 Local ( 82.48, 122.05, -11.60) Global ( 82.48, 122.05, -11.60) +TGeoTessellated 1325 Local ( 85.07, 123.22, -11.87) Global ( 85.07, 123.22, -11.87) +TGeoTessellated 1326 Local ( 87.12, 124.40, -12.00) Global ( 87.12, 124.40, -12.00) +TGeoTessellated 1327 Local ( 84.65, 124.02, -15.16) Global ( 84.65, 124.02, -15.16) +TGeoTessellated 1328 Local ( 86.44, 124.91, -15.61) Global ( 86.44, 124.91, -15.61) +TGeoTessellated 1329 Local ( 82.48, 123.01, -14.51) Global ( 82.48, 123.01, -14.51) +TGeoTessellated 1330 Local ( 87.20, 131.78, -9.16) Global ( 87.20, 131.78, -9.16) +TGeoTessellated 1331 Local ( 88.82, 128.27, -4.57) Global ( 88.82, 128.27, -4.57) +TGeoTessellated 1332 Local ( 90.20, 130.71, -6.47) Global ( 90.20, 130.71, -6.47) +TGeoTessellated 1333 Local ( 88.10, 133.23, -10.20) Global ( 88.10, 133.23, -10.20) +TGeoTessellated 1334 Local ( 91.20, 133.42, -9.01) Global ( 91.20, 133.42, -9.01) +TGeoTessellated 1335 Local ( 88.75, 134.42, -11.11) Global ( 88.75, 134.42, -11.11) +TGeoTessellated 1336 Local ( 92.29, 123.82, -7.20) Global ( 92.29, 123.82, -7.20) +TGeoTessellated 1337 Local ( 91.81, 124.33, -9.03) Global ( 91.81, 124.33, -9.03) +TGeoTessellated 1338 Local ( 93.42, 126.82, -10.89) Global ( 93.42, 126.82, -10.89) +TGeoTessellated 1339 Local ( 94.25, 126.99, -9.63) Global ( 94.25, 126.99, -9.63) +TGeoTessellated 1340 Local ( 91.57, 125.30, -11.05) Global ( 91.57, 125.30, -11.05) +TGeoTessellated 1341 Local ( 92.78, 126.84, -11.88) Global ( 92.78, 126.84, -11.88) +TGeoTessellated 1342 Local ( 89.94, 122.25, -7.90) Global ( 89.94, 122.25, -7.90) +TGeoTessellated 1343 Local ( 89.96, 123.62, -10.28) Global ( 89.96, 123.62, -10.28) +TGeoTessellated 1344 Local ( 90.10, 121.34, -5.79) Global ( 90.10, 121.34, -5.79) +TGeoTessellated 1345 Local ( 90.48, 121.46, -4.06) Global ( 90.48, 121.46, -4.06) +TGeoTessellated 1346 Local ( 92.97, 124.05, -5.59) Global ( 92.97, 124.05, -5.59) +TGeoTessellated 1347 Local ( 93.44, 125.36, -4.56) Global ( 93.44, 125.36, -4.56) +TGeoTessellated 1348 Local ( 90.81, 122.54, -2.94) Global ( 90.81, 122.54, -2.94) +TGeoTessellated 1349 Local ( 95.05, 127.86, -8.42) Global ( 95.05, 127.86, -8.42) +TGeoTessellated 1350 Local ( 86.61, 133.60, -11.53) Global ( 86.61, 133.60, -11.53) +TGeoTessellated 1351 Local ( 87.55, 134.78, -12.31) Global ( 87.55, 134.78, -12.31) +TGeoTessellated 1352 Local ( 86.87, 135.11, -15.85) Global ( 86.87, 135.11, -15.85) +TGeoTessellated 1353 Local ( 85.95, 134.02, -15.37) Global ( 85.95, 134.02, -15.37) +TGeoTessellated 1354 Local ( 88.57, 135.85, -12.93) Global ( 88.57, 135.85, -12.93) +TGeoTessellated 1355 Local ( 88.02, 136.33, -16.41) Global ( 88.02, 136.33, -16.41) +TGeoTessellated 1356 Local ( 89.82, 126.46, -12.64) Global ( 89.82, 126.46, -12.64) +TGeoTessellated 1357 Local ( 91.39, 127.81, -13.29) Global ( 91.39, 127.81, -13.29) +TGeoTessellated 1358 Local ( 92.91, 128.82, -13.91) Global ( 92.91, 128.82, -13.91) +TGeoTessellated 1359 Local ( 90.98, 128.48, -16.89) Global ( 90.98, 128.48, -16.89) +TGeoTessellated 1360 Local ( 92.84, 130.02, -17.54) Global ( 92.84, 130.02, -17.54) +TGeoTessellated 1361 Local ( 89.29, 126.97, -16.36) Global ( 89.29, 126.97, -16.36) +TGeoTessellated 1362 Local ( 91.54, 136.54, -12.26) Global ( 91.54, 136.54, -12.26) +TGeoTessellated 1363 Local ( 91.31, 138.58, -16.93) Global ( 91.31, 138.58, -16.93) +TGeoTessellated 1364 Local ( 95.04, 130.34, -13.29) Global ( 95.04, 130.34, -13.29) +TGeoTessellated 1365 Local ( 94.09, 129.46, -13.83) Global ( 94.09, 129.46, -13.83) +TGeoTessellated 1366 Local ( 94.37, 131.25, -17.94) Global ( 94.37, 131.25, -17.94) +TGeoTessellated 1367 Local ( 95.40, 132.76, -17.88) Global ( 95.40, 132.76, -17.88) +TGeoTessellated 1368 Local ( 82.93, 109.01, -8.36) Global ( 82.93, 109.01, -8.36) +TGeoTessellated 1369 Local ( 83.69, 111.07, -2.07) Global ( 83.69, 111.07, -2.07) +TGeoTessellated 1370 Local ( 85.74, 110.72, -3.64) Global ( 85.74, 110.72, -3.64) +TGeoTessellated 1371 Local ( 84.83, 108.86, -9.64) Global ( 84.83, 108.86, -9.64) +TGeoTessellated 1372 Local ( 83.96, 114.93, -0.73) Global ( 83.96, 114.93, -0.73) +TGeoTessellated 1373 Local ( 83.69, 113.91, 0.10) Global ( 83.69, 113.91, 0.10) +TGeoTessellated 1374 Local ( 85.67, 113.38, -2.09) Global ( 85.67, 113.38, -2.09) +TGeoTessellated 1375 Local ( 86.01, 114.75, -2.77) Global ( 86.01, 114.75, -2.77) +TGeoTessellated 1376 Local ( 83.64, 115.59, -6.23) Global ( 83.64, 115.59, -6.23) +TGeoTessellated 1377 Local ( 83.23, 115.12, -10.34) Global ( 83.23, 115.12, -10.34) +TGeoTessellated 1378 Local ( 85.53, 114.68, -10.76) Global ( 85.53, 114.68, -10.76) +TGeoTessellated 1379 Local ( 85.18, 114.14, -13.58) Global ( 85.18, 114.14, -13.58) +TGeoTessellated 1380 Local ( 82.74, 114.62, -13.03) Global ( 82.74, 114.62, -13.03) +TGeoTessellated 1381 Local ( 82.23, 108.14, -14.02) Global ( 82.23, 108.14, -14.02) +TGeoTessellated 1382 Local ( 84.15, 107.99, -14.62) Global ( 84.15, 107.99, -14.62) +TGeoTessellated 1383 Local ( 81.87, 106.98, -18.23) Global ( 81.87, 106.98, -18.23) +TGeoTessellated 1384 Local ( 83.60, 107.06, -18.73) Global ( 83.60, 107.06, -18.73) +TGeoTessellated 1385 Local ( 82.26, 114.11, -15.38) Global ( 82.26, 114.11, -15.38) +TGeoTessellated 1386 Local ( 81.83, 113.71, -18.32) Global ( 81.83, 113.71, -18.32) +TGeoTessellated 1387 Local ( 84.67, 113.83, -16.02) Global ( 84.67, 113.83, -16.02) +TGeoTessellated 1388 Local ( 84.11, 113.46, -18.99) Global ( 84.11, 113.46, -18.99) +TGeoTessellated 1389 Local ( 86.58, 108.16, -11.06) Global ( 86.58, 108.16, -11.06) +TGeoTessellated 1390 Local ( 87.56, 110.07, -6.38) Global ( 87.56, 110.07, -6.38) +TGeoTessellated 1391 Local ( 88.16, 112.31, -5.21) Global ( 88.16, 112.31, -5.21) +TGeoTessellated 1392 Local ( 88.66, 113.95, -5.64) Global ( 88.66, 113.95, -5.64) +TGeoTessellated 1393 Local ( 88.22, 114.08, -11.25) Global ( 88.22, 114.08, -11.25) +TGeoTessellated 1394 Local ( 88.54, 113.91, -14.36) Global ( 88.54, 113.91, -14.36) +TGeoTessellated 1395 Local ( 85.40, 106.49, -19.24) Global ( 85.40, 106.49, -19.24) +TGeoTessellated 1396 Local ( 85.95, 107.44, -15.36) Global ( 85.95, 107.44, -15.36) +TGeoTessellated 1397 Local ( 88.26, 113.46, -17.11) Global ( 88.26, 113.46, -17.11) +TGeoTessellated 1398 Local ( 87.60, 113.17, -20.06) Global ( 87.60, 113.17, -20.06) +TGeoTessellated 1399 Local ( 82.06, 132.39, -14.16) Global ( 82.06, 132.39, -14.16) +TGeoTessellated 1400 Local ( 83.12, 130.61, -9.82) Global ( 83.12, 130.61, -9.82) +TGeoTessellated 1401 Local ( 84.49, 131.43, -10.29) Global ( 84.49, 131.43, -10.29) +TGeoTessellated 1402 Local ( 83.94, 132.49, -14.64) Global ( 83.94, 132.49, -14.64) +TGeoTessellated 1403 Local ( 87.89, 125.82, -15.96) Global ( 87.89, 125.82, -15.96) +TGeoTessellated 1404 Local ( 88.52, 125.33, -12.23) Global ( 88.52, 125.33, -12.23) +TGeoTessellated 1405 Local ( 88.47, 122.41, -9.79) Global ( 88.47, 122.41, -9.79) +TGeoTessellated 1406 Local ( 90.74, 125.10, -2.54) Global ( 90.74, 125.10, -2.54) +TGeoTessellated 1407 Local ( 88.56, 122.72, -0.99) Global ( 88.56, 122.72, -0.99) +TGeoTessellated 1408 Local ( 88.44, 120.15, -1.07) Global ( 88.44, 120.15, -1.07) +TGeoTessellated 1409 Local ( 86.00, 121.32, 0.56) Global ( 86.00, 121.32, 0.56) +TGeoTessellated 1410 Local ( 87.21, 126.23, -3.03) Global ( 87.21, 126.23, -3.03) +TGeoTessellated 1411 Local ( 86.11, 130.43, -8.26) Global ( 86.11, 130.43, -8.26) +TGeoTessellated 1412 Local ( 87.83, 118.87, -4.43) Global ( 87.83, 118.87, -4.43) +TGeoTessellated 1413 Local ( 88.12, 120.57, -7.14) Global ( 88.12, 120.57, -7.14) +TGeoTessellated 1414 Local ( 92.41, 128.09, -4.47) Global ( 92.41, 128.09, -4.47) +TGeoTessellated 1415 Local ( 83.74, 120.62, 1.78) Global ( 83.74, 120.62, 1.78) +TGeoTessellated 1416 Local ( 74.37, 117.29, 7.88) Global ( 74.37, 117.29, 7.88) +TGeoTessellated 1417 Local ( 80.16, 112.30, 4.15) Global ( 80.16, 112.30, 4.15) +TGeoTessellated 1418 Local ( 72.85, 136.46, -16.45) Global ( 72.85, 136.46, -16.45) +TGeoTessellated 1419 Local ( 71.66, 136.11, -15.94) Global ( 71.66, 136.11, -15.94) +TGeoTessellated 1420 Local ( 74.36, 135.88, -16.72) Global ( 74.36, 135.88, -16.72) +TGeoTessellated 1421 Local ( 76.62, 135.17, -17.36) Global ( 76.62, 135.17, -17.36) +TGeoTessellated 1422 Local ( 78.96, 134.30, -18.02) Global ( 78.96, 134.30, -18.02) +TGeoTessellated 1423 Local ( 81.07, 133.56, -18.62) Global ( 81.07, 133.56, -18.62) +TGeoTessellated 1424 Local ( 82.95, 133.13, -19.16) Global ( 82.95, 133.13, -19.16) +TGeoTessellated 1425 Local ( 85.14, 133.11, -14.99) Global ( 85.14, 133.11, -14.99) +TGeoTessellated 1426 Local ( 84.13, 133.48, -19.51) Global ( 84.13, 133.48, -19.51) +TGeoTessellated 1427 Local ( 84.92, 134.25, -19.76) Global ( 84.92, 134.25, -19.76) +TGeoTessellated 1428 Local ( 85.79, 135.22, -20.04) Global ( 85.79, 135.22, -20.04) +TGeoTessellated 1429 Local ( 86.99, 136.68, -20.42) Global ( 86.99, 136.68, -20.42) +TGeoTessellated 1430 Local ( 90.49, 139.43, -21.51) Global ( 90.49, 139.43, -21.51) +TGeoTessellated 1431 Local ( 93.71, 139.45, -22.45) Global ( 93.71, 139.45, -22.45) +TGeoTessellated 1432 Local ( 96.09, 134.72, -17.64) Global ( 96.09, 134.72, -17.64) +TGeoTessellated 1433 Local ( 95.60, 136.01, -22.92) Global ( 95.60, 136.01, -22.92) +TGeoTessellated 1434 Local ( 95.50, 138.02, -22.94) Global ( 95.50, 138.02, -22.94) +TGeoTessellated 1435 Local ( 95.00, 133.97, -22.70) Global ( 95.00, 133.97, -22.70) +TGeoTessellated 1436 Local ( 93.80, 132.21, -22.31) Global ( 93.80, 132.21, -22.31) +TGeoTessellated 1437 Local ( 92.10, 130.54, -21.77) Global ( 92.10, 130.54, -21.77) +TGeoTessellated 1438 Local ( 90.13, 128.60, -21.15) Global ( 90.13, 128.60, -21.15) +TGeoTessellated 1439 Local ( 88.36, 126.83, -20.59) Global ( 88.36, 126.83, -20.59) +TGeoTessellated 1440 Local ( 87.02, 125.69, -20.17) Global ( 87.02, 125.69, -20.17) +TGeoTessellated 1441 Local ( 85.66, 124.96, -19.76) Global ( 85.66, 124.96, -19.76) +TGeoTessellated 1442 Local ( 83.77, 124.17, -19.19) Global ( 83.77, 124.17, -19.19) +TGeoTessellated 1443 Local ( 81.45, 123.06, -18.49) Global ( 81.45, 123.06, -18.49) +TGeoTessellated 1444 Local ( 91.64, 111.58, -17.94) Global ( 91.64, 111.58, -17.94) +TGeoTessellated 1445 Local ( 91.90, 112.49, -14.92) Global ( 91.90, 112.49, -14.92) +TGeoTessellated 1446 Local ( 90.92, 111.20, -21.01) Global ( 90.92, 111.20, -21.01) +TGeoTessellated 1447 Local ( 84.30, 115.52, -2.50) Global ( 84.30, 115.52, -2.50) +TGeoTessellated 1448 Local ( 83.00, 115.28, 1.77) Global ( 83.00, 115.28, 1.77) +TGeoTessellated 1449 Local ( 86.28, 115.19, -4.50) Global ( 86.28, 115.19, -4.50) +TGeoTessellated 1450 Local ( 85.75, 115.13, -7.31) Global ( 85.75, 115.13, -7.31) +TGeoTessellated 1451 Local ( 88.58, 114.45, -6.97) Global ( 88.58, 114.45, -6.97) +TGeoTessellated 1452 Local ( 87.63, 114.62, -8.45) Global ( 87.63, 114.62, -8.45) +TGeoTessellated 1453 Local ( 88.08, 118.98, -2.26) Global ( 88.08, 118.98, -2.26) +TGeoTessellated 1454 Local ( 90.92, 113.20, -10.81) Global ( 90.92, 113.20, -10.81) +TGeoTessellated 1455 Local ( 95.84, 131.91, -12.44) Global ( 95.84, 131.91, -12.44) +TGeoTessellated 1456 Local ( 78.53, 120.45, -11.38) Global ( 78.53, 120.45, -11.38) +TGeoTessellated 1457 Local ( 85.73, 132.48, -10.78) Global ( 85.73, 132.48, -10.78) +TGeoTessellated 1458 Local ( 71.33, 137.73, -15.88) Global ( 71.33, 137.73, -15.88) +TGeoTessellated 1459 Local ( 72.97, 136.29, -10.68) Global ( 72.97, 136.29, -10.68) +TGeoTessellated 1460 Local ( 74.16, 133.10, -5.28) Global ( 74.16, 133.10, -5.28) +TGeoTessellated 1461 Local ( 75.21, 128.82, -1.40) Global ( 75.21, 128.82, -1.40) +TGeoTessellated 1462 Local ( 75.07, 122.12, 6.21) Global ( 75.07, 122.12, 6.21) +TGeoTessellated 1463 Local ( 74.29, 118.62, 8.84) Global ( 74.29, 118.62, 8.84) +TGeoTessellated 1464 Local ( 74.00, 114.29, 7.00) Global ( 74.00, 114.29, 7.00) +TGeoTessellated 1465 Local ( 74.01, 114.13, 7.99) Global ( 74.01, 114.13, 7.99) +TGeoTessellated 1466 Local ( 73.46, 110.35, 4.92) Global ( 73.46, 110.35, 4.92) +TGeoTessellated 1467 Local ( 73.11, 110.85, 3.56) Global ( 73.11, 110.85, 3.56) +TGeoTessellated 1468 Local ( 69.46, 100.73, -14.47) Global ( 69.46, 100.73, -14.47) +TGeoTessellated 1469 Local ( 71.40, 104.18, -15.11) Global ( 71.40, 104.18, -15.11) +TGeoTessellated 1470 Local ( 72.78, 105.38, -7.26) Global ( 72.78, 105.38, -7.26) +TGeoTessellated 1471 Local ( 72.82, 106.93, -0.97) Global ( 72.82, 106.93, -0.97) +TGeoTessellated 1472 Local ( 82.46, 113.29, 2.18) Global ( 82.46, 113.29, 2.18) +TGeoTessellated 1473 Local ( 79.57, 111.52, 3.26) Global ( 79.57, 111.52, 3.26) +TGeoTessellated 1474 Local ( -11.68, 127.67, 6.39) Global ( -11.68, 127.67, 6.39) +TGeoTessellated 1475 Local ( -11.89, 122.64, 7.67) Global ( -11.89, 122.64, 7.67) +TGeoTessellated 1476 Local ( -12.20, 126.93, 4.41) Global ( -12.20, 126.93, 4.41) +TGeoTessellated 1477 Local ( -12.15, 122.27, 6.68) Global ( -12.15, 122.27, 6.68) +TGeoTessellated 1478 Local ( -12.63, 125.76, 2.62) Global ( -12.63, 125.76, 2.62) +TGeoTessellated 1479 Local ( -12.36, 121.68, 5.78) Global ( -12.36, 121.68, 5.78) +TGeoTessellated 1480 Local ( -12.95, 124.22, 1.10) Global ( -12.95, 124.22, 1.10) +TGeoTessellated 1481 Local ( -12.53, 120.91, 5.02) Global ( -12.53, 120.91, 5.02) +TGeoTessellated 1482 Local ( -13.15, 122.37, -0.07) Global ( -13.15, 122.37, -0.07) +TGeoTessellated 1483 Local ( -12.63, 119.98, 4.43) Global ( -12.63, 119.98, 4.43) +TGeoTessellated 1484 Local ( -13.21, 120.30, -0.85) Global ( -13.21, 120.30, -0.85) +TGeoTessellated 1485 Local ( -12.65, 118.94, 4.04) Global ( -12.65, 118.94, 4.04) +TGeoTessellated 1486 Local ( -13.12, 118.11, -1.19) Global ( -13.12, 118.11, -1.19) +TGeoTessellated 1487 Local ( -12.60, 117.84, 3.87) Global ( -12.60, 117.84, 3.87) +TGeoTessellated 1488 Local ( -12.90, 115.91, -1.07) Global ( -12.90, 115.91, -1.07) +TGeoTessellated 1489 Local ( -12.48, 116.73, 3.93) Global ( -12.48, 116.73, 3.93) +TGeoTessellated 1490 Local ( -12.54, 113.80, -0.51) Global ( -12.54, 113.80, -0.51) +TGeoTessellated 1491 Local ( -12.30, 115.67, 4.21) Global ( -12.30, 115.67, 4.21) +TGeoTessellated 1492 Local ( -12.08, 111.88, 0.47) Global ( -12.08, 111.88, 0.47) +TGeoTessellated 1493 Local ( -12.06, 114.71, 4.70) Global ( -12.06, 114.71, 4.70) +TGeoTessellated 1494 Local ( -11.51, 110.20, 1.91) Global ( -11.51, 110.20, 1.91) +TGeoTessellated 1495 Local ( -11.77, 113.86, 5.43) Global ( -11.77, 113.86, 5.43) +TGeoTessellated 1496 Local ( -10.73, 108.68, 4.36) Global ( -10.73, 108.68, 4.36) +TGeoTessellated 1497 Local ( -11.36, 113.13, 6.63) Global ( -11.36, 113.13, 6.63) +TGeoTessellated 1498 Local ( -10.17, 108.26, 6.22) Global ( -10.17, 108.26, 6.22) +TGeoTessellated 1499 Local ( -11.07, 112.96, 7.58) Global ( -11.07, 112.96, 7.58) +TGeoTessellated 1500 Local ( -10.81, 132.60, 4.95) Global ( -10.81, 132.60, 4.95) +TGeoTessellated 1501 Local ( -11.58, 131.50, 2.02) Global ( -11.58, 131.50, 2.02) +TGeoTessellated 1502 Local ( -12.22, 129.77, -0.63) Global ( -12.22, 129.77, -0.63) +TGeoTessellated 1503 Local ( -12.70, 127.48, -2.88) Global ( -12.70, 127.48, -2.88) +TGeoTessellated 1504 Local ( -12.99, 124.74, -4.62) Global ( -12.99, 124.74, -4.62) +TGeoTessellated 1505 Local ( -13.08, 121.67, -5.77) Global ( -13.08, 121.67, -5.77) +TGeoTessellated 1506 Local ( -12.96, 118.43, -6.28) Global ( -12.96, 118.43, -6.28) +TGeoTessellated 1507 Local ( -12.65, 115.16, -6.12) Global ( -12.65, 115.16, -6.12) +TGeoTessellated 1508 Local ( -12.15, 112.02, -5.30) Global ( -12.15, 112.02, -5.30) +TGeoTessellated 1509 Local ( -11.46, 109.17, -3.84) Global ( -11.46, 109.17, -3.84) +TGeoTessellated 1510 Local ( -10.64, 106.69, -1.74) Global ( -10.64, 106.69, -1.74) +TGeoTessellated 1511 Local ( -9.45, 104.40, 1.95) Global ( -9.45, 104.40, 1.95) +TGeoTessellated 1512 Local ( -8.62, 103.71, 4.74) Global ( -8.62, 103.71, 4.74) +TGeoTessellated 1513 Local ( -9.33, 137.35, 3.38) Global ( -9.33, 137.35, 3.38) +TGeoTessellated 1514 Local ( -10.34, 135.92, -0.46) Global ( -10.34, 135.92, -0.46) +TGeoTessellated 1515 Local ( -11.18, 133.65, -3.94) Global ( -11.18, 133.65, -3.94) +TGeoTessellated 1516 Local ( -11.80, 130.65, -6.88) Global ( -11.80, 130.65, -6.88) +TGeoTessellated 1517 Local ( -12.18, 127.05, -9.16) Global ( -12.18, 127.05, -9.16) +TGeoTessellated 1518 Local ( -12.30, 123.04, -10.67) Global ( -12.30, 123.04, -10.67) +TGeoTessellated 1519 Local ( -12.15, 118.79, -11.34) Global ( -12.15, 118.79, -11.34) +TGeoTessellated 1520 Local ( -11.74, 114.50, -11.13) Global ( -11.74, 114.50, -11.13) +TGeoTessellated 1521 Local ( -11.09, 110.38, -10.06) Global ( -11.09, 110.38, -10.06) +TGeoTessellated 1522 Local ( -10.19, 106.65, -8.13) Global ( -10.19, 106.65, -8.13) +TGeoTessellated 1523 Local ( -9.11, 103.42, -5.39) Global ( -9.11, 103.42, -5.39) +TGeoTessellated 1524 Local ( -7.56, 100.49, -0.63) Global ( -7.56, 100.49, -0.63) +TGeoTessellated 1525 Local ( -6.45, 99.50, 2.95) Global ( -6.45, 99.50, 2.95) +TGeoTessellated 1526 Local ( -7.25, 141.87, 1.70) Global ( -7.25, 141.87, 1.70) +TGeoTessellated 1527 Local ( -8.49, 140.12, -2.99) Global ( -8.49, 140.12, -2.99) +TGeoTessellated 1528 Local ( -9.51, 137.34, -7.24) Global ( -9.51, 137.34, -7.24) +TGeoTessellated 1529 Local ( -10.27, 133.67, -10.84) Global ( -10.27, 133.67, -10.84) +TGeoTessellated 1530 Local ( -10.73, 129.28, -13.63) Global ( -10.73, 129.28, -13.63) +TGeoTessellated 1531 Local ( -10.88, 124.38, -15.47) Global ( -10.88, 124.38, -15.47) +TGeoTessellated 1532 Local ( -10.70, 119.18, -16.28) Global ( -10.70, 119.18, -16.28) +TGeoTessellated 1533 Local ( -10.19, 113.94, -16.03) Global ( -10.19, 113.94, -16.03) +TGeoTessellated 1534 Local ( -9.38, 108.92, -14.69) Global ( -9.38, 108.92, -14.69) +TGeoTessellated 1535 Local ( -8.24, 104.41, -12.26) Global ( -8.24, 104.41, -12.26) +TGeoTessellated 1536 Local ( -6.81, 100.55, -8.66) Global ( -6.81, 100.55, -8.66) +TGeoTessellated 1537 Local ( -5.07, 97.21, -3.47) Global ( -5.07, 97.21, -3.47) +TGeoTessellated 1538 Local ( -3.73, 95.70, 0.99) Global ( -3.73, 95.70, 0.99) +TGeoTessellated 1539 Local ( -4.60, 146.09, -0.05) Global ( -4.60, 146.09, -0.05) +TGeoTessellated 1540 Local ( -6.05, 144.04, -5.53) Global ( -6.05, 144.04, -5.53) +TGeoTessellated 1541 Local ( -7.24, 140.80, -10.49) Global ( -7.24, 140.80, -10.49) +TGeoTessellated 1542 Local ( -8.13, 136.52, -14.69) Global ( -8.13, 136.52, -14.69) +TGeoTessellated 1543 Local ( -8.67, 131.39, -17.95) Global ( -8.67, 131.39, -17.95) +TGeoTessellated 1544 Local ( -8.84, 125.66, -20.10) Global ( -8.84, 125.66, -20.10) +TGeoTessellated 1545 Local ( -8.63, 119.60, -21.05) Global ( -8.63, 119.60, -21.05) +TGeoTessellated 1546 Local ( -8.04, 113.48, -20.75) Global ( -8.04, 113.48, -20.75) +TGeoTessellated 1547 Local ( -7.09, 107.62, -19.18) Global ( -7.09, 107.62, -19.18) +TGeoTessellated 1548 Local ( -5.78, 102.35, -16.36) Global ( -5.78, 102.35, -16.36) +TGeoTessellated 1549 Local ( -4.13, 97.82, -12.28) Global ( -4.13, 97.82, -12.28) +TGeoTessellated 1550 Local ( -1.88, 93.95, -6.39) Global ( -1.88, 93.95, -6.39) +TGeoTessellated 1551 Local ( -0.48, 91.82, -0.50) Global ( -0.48, 91.82, -0.50) +TGeoTessellated 1552 Local ( -1.43, 149.94, -1.87) Global ( -1.43, 149.94, -1.87) +TGeoTessellated 1553 Local ( -3.06, 147.63, -8.05) Global ( -3.06, 147.63, -8.05) +TGeoTessellated 1554 Local ( -4.41, 143.97, -13.64) Global ( -4.41, 143.97, -13.64) +TGeoTessellated 1555 Local ( -5.41, 139.14, -18.39) Global ( -5.41, 139.14, -18.39) +TGeoTessellated 1556 Local ( -6.03, 133.35, -22.06) Global ( -6.03, 133.35, -22.06) +TGeoTessellated 1557 Local ( -6.21, 126.89, -24.49) Global ( -6.21, 126.89, -24.49) +TGeoTessellated 1558 Local ( -5.97, 120.04, -25.56) Global ( -5.97, 120.04, -25.56) +TGeoTessellated 1559 Local ( -5.31, 113.14, -25.23) Global ( -5.31, 113.14, -25.23) +TGeoTessellated 1560 Local ( -4.25, 106.51, -23.48) Global ( -4.25, 106.51, -23.48) +TGeoTessellated 1561 Local ( -2.81, 100.51, -20.36) Global ( -2.81, 100.51, -20.36) +TGeoTessellated 1562 Local ( -0.86, 95.39, -15.92) Global ( -0.86, 95.39, -15.92) +TGeoTessellated 1563 Local ( 0.44, 91.51, 2.82) Global ( 0.44, 91.51, 2.82) +TGeoTessellated 1564 Local ( 2.22, 153.37, -3.71) Global ( 2.22, 153.37, -3.71) +TGeoTessellated 1565 Local ( 0.43, 150.83, -10.50) Global ( 0.43, 150.83, -10.50) +TGeoTessellated 1566 Local ( -1.06, 146.81, -16.66) Global ( -1.06, 146.81, -16.66) +TGeoTessellated 1567 Local ( -2.16, 141.50, -21.87) Global ( -2.16, 141.50, -21.87) +TGeoTessellated 1568 Local ( -2.83, 135.13, -25.91) Global ( -2.83, 135.13, -25.91) +TGeoTessellated 1569 Local ( -3.04, 128.02, -28.58) Global ( -3.04, 128.02, -28.58) +TGeoTessellated 1570 Local ( -2.77, 120.50, -29.76) Global ( -2.77, 120.50, -29.76) +TGeoTessellated 1571 Local ( -2.05, 112.91, -29.39) Global ( -2.05, 112.91, -29.39) +TGeoTessellated 1572 Local ( -0.90, 105.61, -27.50) Global ( -0.90, 105.61, -27.50) +TGeoTessellated 1573 Local ( 0.66, 99.00, -24.11) Global ( 0.66, 99.00, -24.11) +TGeoTessellated 1574 Local ( 2.67, 93.73, -19.76) Global ( 2.67, 93.73, -19.76) +TGeoTessellated 1575 Local ( 6.30, 156.33, -5.55) Global ( 6.30, 156.33, -5.55) +TGeoTessellated 1576 Local ( 4.37, 153.60, -12.86) Global ( 4.37, 153.60, -12.86) +TGeoTessellated 1577 Local ( 2.77, 149.27, -19.48) Global ( 2.77, 149.27, -19.48) +TGeoTessellated 1578 Local ( 1.59, 143.56, -25.10) Global ( 1.59, 143.56, -25.10) +TGeoTessellated 1579 Local ( 0.87, 136.71, -29.44) Global ( 0.87, 136.71, -29.44) +TGeoTessellated 1580 Local ( 0.64, 129.06, -32.31) Global ( 0.64, 129.06, -32.31) +TGeoTessellated 1581 Local ( 0.93, 120.96, -33.58) Global ( 0.93, 120.96, -33.58) +TGeoTessellated 1582 Local ( 1.71, 112.80, -33.19) Global ( 1.71, 112.80, -33.19) +TGeoTessellated 1583 Local ( 2.95, 104.94, -31.14) Global ( 2.95, 104.94, -31.14) +TGeoTessellated 1584 Local ( 4.64, 97.94, -27.49) Global ( 4.64, 97.94, -27.49) +TGeoTessellated 1585 Local ( 6.69, 92.90, -23.47) Global ( 6.69, 92.90, -23.47) +TGeoTessellated 1586 Local ( 10.75, 158.78, -7.37) Global ( 10.75, 158.78, -7.37) +TGeoTessellated 1587 Local ( 8.71, 155.90, -15.09) Global ( 8.71, 155.90, -15.09) +TGeoTessellated 1588 Local ( 7.03, 151.33, -22.08) Global ( 7.03, 151.33, -22.08) +TGeoTessellated 1589 Local ( 5.77, 145.29, -28.01) Global ( 5.77, 145.29, -28.01) +TGeoTessellated 1590 Local ( 5.01, 138.06, -32.60) Global ( 5.01, 138.06, -32.60) +TGeoTessellated 1591 Local ( 4.77, 129.98, -35.63) Global ( 4.77, 129.98, -35.63) +TGeoTessellated 1592 Local ( 5.07, 121.43, -36.97) Global ( 5.07, 121.43, -36.97) +TGeoTessellated 1593 Local ( 5.90, 112.81, -36.55) Global ( 5.90, 112.81, -36.55) +TGeoTessellated 1594 Local ( 7.20, 104.51, -34.39) Global ( 7.20, 104.51, -34.39) +TGeoTessellated 1595 Local ( 9.05, 97.29, -30.56) Global ( 9.05, 97.29, -30.56) +TGeoTessellated 1596 Local ( 11.24, 92.58, -26.97) Global ( 11.24, 92.58, -26.97) +TGeoTessellated 1597 Local ( 15.50, 160.68, -9.13) Global ( 15.50, 160.68, -9.13) +TGeoTessellated 1598 Local ( 13.38, 157.68, -17.15) Global ( 13.38, 157.68, -17.15) +TGeoTessellated 1599 Local ( 11.63, 152.94, -24.41) Global ( 11.63, 152.94, -24.41) +TGeoTessellated 1600 Local ( 10.33, 146.67, -30.57) Global ( 10.33, 146.67, -30.57) +TGeoTessellated 1601 Local ( 9.54, 139.16, -35.33) Global ( 9.54, 139.16, -35.33) +TGeoTessellated 1602 Local ( 9.29, 130.77, -38.48) Global ( 9.29, 130.77, -38.48) +TGeoTessellated 1603 Local ( 9.61, 121.89, -39.87) Global ( 9.61, 121.89, -39.87) +TGeoTessellated 1604 Local ( 10.46, 112.94, -39.44) Global ( 10.46, 112.94, -39.44) +TGeoTessellated 1605 Local ( 11.82, 104.33, -37.20) Global ( 11.82, 104.33, -37.20) +TGeoTessellated 1606 Local ( 14.06, 96.95, -33.35) Global ( 14.06, 96.95, -33.35) +TGeoTessellated 1607 Local ( 16.64, 92.47, -29.97) Global ( 16.64, 92.47, -29.97) +TGeoTessellated 1608 Local ( 23.05, 162.36, -11.62) Global ( 23.05, 162.36, -11.62) +TGeoTessellated 1609 Local ( 20.88, 159.29, -19.85) Global ( 20.88, 159.29, -19.85) +TGeoTessellated 1610 Local ( 19.09, 154.42, -27.30) Global ( 19.09, 154.42, -27.30) +TGeoTessellated 1611 Local ( 17.75, 147.99, -33.61) Global ( 17.75, 147.99, -33.61) +TGeoTessellated 1612 Local ( 16.94, 140.28, -38.50) Global ( 16.94, 140.28, -38.50) +TGeoTessellated 1613 Local ( 16.69, 131.68, -41.74) Global ( 16.69, 131.68, -41.74) +TGeoTessellated 1614 Local ( 17.01, 122.56, -43.16) Global ( 17.01, 122.56, -43.16) +TGeoTessellated 1615 Local ( 17.89, 113.37, -42.72) Global ( 17.89, 113.37, -42.72) +TGeoTessellated 1616 Local ( 19.28, 104.54, -40.42) Global ( 19.28, 104.54, -40.42) +TGeoTessellated 1617 Local ( 21.21, 97.01, -36.26) Global ( 21.21, 97.01, -36.26) +TGeoTessellated 1618 Local ( 23.42, 92.71, -32.41) Global ( 23.42, 92.71, -32.41) +TGeoTessellated 1619 Local ( 30.86, 162.84, -13.88) Global ( 30.86, 162.84, -13.88) +TGeoTessellated 1620 Local ( 28.69, 159.78, -22.08) Global ( 28.69, 159.78, -22.08) +TGeoTessellated 1621 Local ( 26.91, 154.93, -29.50) Global ( 26.91, 154.93, -29.50) +TGeoTessellated 1622 Local ( 27.92, 148.75, -36.26) Global ( 27.92, 148.75, -36.26) +TGeoTessellated 1623 Local ( 26.83, 141.90, -40.41) Global ( 26.83, 141.90, -40.41) +TGeoTessellated 1624 Local ( 27.13, 134.40, -43.16) Global ( 27.13, 134.40, -43.16) +TGeoTessellated 1625 Local ( 24.83, 123.19, -45.31) Global ( 24.83, 123.19, -45.31) +TGeoTessellated 1626 Local ( 25.71, 114.03, -44.86) Global ( 25.71, 114.03, -44.86) +TGeoTessellated 1627 Local ( 27.10, 105.23, -42.57) Global ( 27.10, 105.23, -42.57) +TGeoTessellated 1628 Local ( 28.98, 97.78, -38.32) Global ( 28.98, 97.78, -38.32) +TGeoTessellated 1629 Local ( 31.01, 93.18, -33.75) Global ( 31.01, 93.18, -33.75) +TGeoTessellated 1630 Local ( 36.10, 162.35, -15.19) Global ( 36.10, 162.35, -15.19) +TGeoTessellated 1631 Local ( 33.98, 159.36, -23.21) Global ( 33.98, 159.36, -23.21) +TGeoTessellated 1632 Local ( 33.38, 154.01, -31.99) Global ( 33.38, 154.01, -31.99) +TGeoTessellated 1633 Local ( 31.20, 127.80, -45.19) Global ( 31.20, 127.80, -45.19) +TGeoTessellated 1634 Local ( 34.11, 118.08, -46.72) Global ( 34.11, 118.08, -46.72) +TGeoTessellated 1635 Local ( 35.27, 106.96, -44.72) Global ( 35.27, 106.96, -44.72) +TGeoTessellated 1636 Local ( 36.88, 99.30, -39.47) Global ( 36.88, 99.30, -39.47) +TGeoTessellated 1637 Local ( 38.94, 94.26, -33.77) Global ( 38.94, 94.26, -33.77) +TGeoTessellated 1638 Local ( 41.27, 161.26, -16.35) Global ( 41.27, 161.26, -16.35) +TGeoTessellated 1639 Local ( 39.55, 157.25, -27.26) Global ( 39.55, 157.25, -27.26) +TGeoTessellated 1640 Local ( 46.30, 159.58, -17.32) Global ( 46.30, 159.58, -17.32) +TGeoTessellated 1641 Local ( 44.85, 156.85, -26.20) Global ( 44.85, 156.85, -26.20) +TGeoTessellated 1642 Local ( 42.98, 108.59, -45.30) Global ( 42.98, 108.59, -45.30) +TGeoTessellated 1643 Local ( 42.57, 117.52, -46.69) Global ( 42.57, 117.52, -46.69) +TGeoTessellated 1644 Local ( 44.50, 100.95, -40.62) Global ( 44.50, 100.95, -40.62) +TGeoTessellated 1645 Local ( 47.29, 94.87, -33.43) Global ( 47.29, 94.87, -33.43) +TGeoTessellated 1646 Local ( 51.12, 157.35, -18.09) Global ( 51.12, 157.35, -18.09) +TGeoTessellated 1647 Local ( 49.98, 155.21, -25.33) Global ( 49.98, 155.21, -25.33) +TGeoTessellated 1648 Local ( 48.72, 109.96, -44.09) Global ( 48.72, 109.96, -44.09) +TGeoTessellated 1649 Local ( 48.21, 117.71, -45.76) Global ( 48.21, 117.71, -45.76) +TGeoTessellated 1650 Local ( 50.36, 102.51, -40.03) Global ( 50.36, 102.51, -40.03) +TGeoTessellated 1651 Local ( 53.48, 96.75, -32.92) Global ( 53.48, 96.75, -32.92) +TGeoTessellated 1652 Local ( 55.65, 154.58, -18.66) Global ( 55.65, 154.58, -18.66) +TGeoTessellated 1653 Local ( 54.84, 152.39, -25.08) Global ( 54.84, 152.39, -25.08) +TGeoTessellated 1654 Local ( 53.62, 111.35, -41.29) Global ( 53.62, 111.35, -41.29) +TGeoTessellated 1655 Local ( 52.79, 118.21, -43.26) Global ( 52.79, 118.21, -43.26) +TGeoTessellated 1656 Local ( 55.24, 104.66, -38.04) Global ( 55.24, 104.66, -38.04) +TGeoTessellated 1657 Local ( 58.74, 99.47, -31.82) Global ( 58.74, 99.47, -31.82) +TGeoTessellated 1658 Local ( 59.83, 151.32, -19.01) Global ( 59.83, 151.32, -19.01) +TGeoTessellated 1659 Local ( 59.07, 148.89, -25.05) Global ( 59.07, 148.89, -25.05) +TGeoTessellated 1660 Local ( 58.35, 118.74, -38.28) Global ( 58.35, 118.74, -38.28) +TGeoTessellated 1661 Local ( 58.64, 112.65, -37.22) Global ( 58.64, 112.65, -37.22) +TGeoTessellated 1662 Local ( 60.02, 108.36, -34.35) Global ( 60.02, 108.36, -34.35) +TGeoTessellated 1663 Local ( 63.66, 103.16, -29.62) Global ( 63.66, 103.16, -29.62) +TGeoTessellated 1664 Local ( 66.74, 101.21, -23.21) Global ( 66.74, 101.21, -23.21) +TGeoTessellated 1665 Local ( 61.92, 96.67, -23.35) Global ( 61.92, 96.67, -23.35) +TGeoTessellated 1666 Local ( 56.81, 93.35, -23.33) Global ( 56.81, 93.35, -23.33) +TGeoTessellated 1667 Local ( 64.35, 145.39, -20.13) Global ( 64.35, 145.39, -20.13) +TGeoTessellated 1668 Local ( 63.29, 144.17, -24.23) Global ( 63.29, 144.17, -24.23) +TGeoTessellated 1669 Local ( 68.45, 138.29, -21.53) Global ( 68.45, 138.29, -21.53) +TGeoTessellated 1670 Local ( 66.48, 141.60, -20.86) Global ( 66.48, 141.60, -20.86) +TGeoTessellated 1671 Local ( 45.60, 137.44, -38.42) Global ( 45.60, 137.44, -38.42) +TGeoTessellated 1672 Local ( 44.89, 139.17, -37.71) Global ( 44.89, 139.17, -37.71) +TGeoTessellated 1673 Local ( 47.01, 140.21, -37.37) Global ( 47.01, 140.21, -37.37) +TGeoTessellated 1674 Local ( 47.89, 138.86, -37.99) Global ( 47.89, 138.86, -37.99) +TGeoTessellated 1675 Local ( 44.03, 136.25, -38.62) Global ( 44.03, 136.25, -38.62) +TGeoTessellated 1676 Local ( 43.43, 138.45, -37.84) Global ( 43.43, 138.45, -37.84) +TGeoTessellated 1677 Local ( 44.69, 140.83, -36.86) Global ( 44.69, 140.83, -36.86) +TGeoTessellated 1678 Local ( 43.60, 140.56, -36.82) Global ( 43.60, 140.56, -36.82) +TGeoTessellated 1679 Local ( 46.38, 141.38, -36.70) Global ( 46.38, 141.38, -36.70) +TGeoTessellated 1680 Local ( 47.89, 134.32, -39.13) Global ( 47.89, 134.32, -39.13) +TGeoTessellated 1681 Local ( 46.65, 135.79, -38.92) Global ( 46.65, 135.79, -38.92) +TGeoTessellated 1682 Local ( 48.90, 137.41, -38.46) Global ( 48.90, 137.41, -38.46) +TGeoTessellated 1683 Local ( 49.90, 135.98, -38.76) Global ( 49.90, 135.98, -38.76) +TGeoTessellated 1684 Local ( 46.61, 132.66, -39.16) Global ( 46.61, 132.66, -39.16) +TGeoTessellated 1685 Local ( 45.14, 134.25, -39.06) Global ( 45.14, 134.25, -39.06) +TGeoTessellated 1686 Local ( 50.38, 132.13, -38.62) Global ( 50.38, 132.13, -38.62) +TGeoTessellated 1687 Local ( 49.17, 133.08, -38.99) Global ( 49.17, 133.08, -38.99) +TGeoTessellated 1688 Local ( 50.76, 134.61, -38.78) Global ( 50.76, 134.61, -38.78) +TGeoTessellated 1689 Local ( 51.41, 133.40, -38.59) Global ( 51.41, 133.40, -38.59) +TGeoTessellated 1690 Local ( 49.84, 130.85, -38.44) Global ( 49.84, 130.85, -38.44) +TGeoTessellated 1691 Local ( 48.25, 131.57, -38.93) Global ( 48.25, 131.57, -38.93) +TGeoTessellated 1692 Local ( 52.52, 131.75, -37.73) Global ( 52.52, 131.75, -37.73) +TGeoTessellated 1693 Local ( 51.44, 131.61, -38.17) Global ( 51.44, 131.61, -38.17) +TGeoTessellated 1694 Local ( 51.71, 132.49, -38.38) Global ( 51.71, 132.49, -38.38) +TGeoTessellated 1695 Local ( 52.42, 132.45, -38.08) Global ( 52.42, 132.45, -38.08) +TGeoTessellated 1696 Local ( 52.69, 130.85, -37.30) Global ( 52.69, 130.85, -37.30) +TGeoTessellated 1697 Local ( 51.31, 130.57, -37.89) Global ( 51.31, 130.57, -37.89) +TGeoTessellated 1698 Local ( 53.48, 132.57, -37.39) Global ( 53.48, 132.57, -37.39) +TGeoTessellated 1699 Local ( 54.07, 133.87, -37.17) Global ( 54.07, 133.87, -37.17) +TGeoTessellated 1700 Local ( 54.91, 133.21, -36.28) Global ( 54.91, 133.21, -36.28) +TGeoTessellated 1701 Local ( 53.93, 131.77, -36.76) Global ( 53.93, 131.77, -36.76) +TGeoTessellated 1702 Local ( 53.00, 133.10, -37.93) Global ( 53.00, 133.10, -37.93) +TGeoTessellated 1703 Local ( 52.88, 134.09, -38.05) Global ( 52.88, 134.09, -38.05) +TGeoTessellated 1704 Local ( 53.97, 137.25, -36.45) Global ( 53.97, 137.25, -36.45) +TGeoTessellated 1705 Local ( 54.25, 135.50, -36.86) Global ( 54.25, 135.50, -36.86) +TGeoTessellated 1706 Local ( 52.62, 135.48, -38.02) Global ( 52.62, 135.48, -38.02) +TGeoTessellated 1707 Local ( 52.07, 137.00, -37.80) Global ( 52.07, 137.00, -37.80) +TGeoTessellated 1708 Local ( 55.40, 137.02, -35.17) Global ( 55.40, 137.02, -35.17) +TGeoTessellated 1709 Local ( 55.46, 135.03, -35.76) Global ( 55.46, 135.03, -35.76) +TGeoTessellated 1710 Local ( 52.09, 140.60, -35.55) Global ( 52.09, 140.60, -35.55) +TGeoTessellated 1711 Local ( 53.23, 138.98, -35.99) Global ( 53.23, 138.98, -35.99) +TGeoTessellated 1712 Local ( 51.22, 138.51, -37.41) Global ( 51.22, 138.51, -37.41) +TGeoTessellated 1713 Local ( 50.19, 139.95, -36.96) Global ( 50.19, 139.95, -36.96) +TGeoTessellated 1714 Local ( 53.39, 140.88, -34.20) Global ( 53.39, 140.88, -34.20) +TGeoTessellated 1715 Local ( 54.69, 139.02, -34.61) Global ( 54.69, 139.02, -34.61) +TGeoTessellated 1716 Local ( 49.26, 142.88, -34.84) Global ( 49.26, 142.88, -34.84) +TGeoTessellated 1717 Local ( 50.71, 141.93, -35.16) Global ( 50.71, 141.93, -35.16) +TGeoTessellated 1718 Local ( 49.11, 141.20, -36.43) Global ( 49.11, 141.20, -36.43) +TGeoTessellated 1719 Local ( 48.17, 142.19, -35.91) Global ( 48.17, 142.19, -35.91) +TGeoTessellated 1720 Local ( 49.81, 143.32, -33.86) Global ( 49.81, 143.32, -33.86) +TGeoTessellated 1721 Local ( 51.68, 142.35, -33.94) Global ( 51.68, 142.35, -33.94) +TGeoTessellated 1722 Local ( 46.35, 143.05, -35.23) Global ( 46.35, 143.05, -35.23) +TGeoTessellated 1723 Local ( 47.83, 143.29, -34.79) Global ( 47.83, 143.29, -34.79) +TGeoTessellated 1724 Local ( 47.60, 142.87, -35.45) Global ( 47.60, 142.87, -35.45) +TGeoTessellated 1725 Local ( 46.61, 142.79, -35.66) Global ( 46.61, 142.79, -35.66) +TGeoTessellated 1726 Local ( 46.08, 143.34, -34.74) Global ( 46.08, 143.34, -34.74) +TGeoTessellated 1727 Local ( 47.94, 143.70, -34.08) Global ( 47.94, 143.70, -34.08) +TGeoTessellated 1728 Local ( 45.17, 142.15, -36.00) Global ( 45.17, 142.15, -36.00) +TGeoTessellated 1729 Local ( 45.95, 142.15, -36.19) Global ( 45.95, 142.15, -36.19) +TGeoTessellated 1730 Local ( 44.50, 142.27, -35.74) Global ( 44.50, 142.27, -35.74) +TGeoTessellated 1731 Local ( 43.42, 133.06, -41.39) Global ( 43.42, 133.06, -41.39) +TGeoTessellated 1732 Local ( 41.80, 136.12, -41.01) Global ( 41.80, 136.12, -41.01) +TGeoTessellated 1733 Local ( 42.85, 136.05, -40.29) Global ( 42.85, 136.05, -40.29) +TGeoTessellated 1734 Local ( 44.30, 133.41, -40.65) Global ( 44.30, 133.41, -40.65) +TGeoTessellated 1735 Local ( 45.17, 133.75, -39.91) Global ( 45.17, 133.75, -39.91) +TGeoTessellated 1736 Local ( 46.73, 132.09, -39.98) Global ( 46.73, 132.09, -39.98) +TGeoTessellated 1737 Local ( 46.09, 131.45, -40.76) Global ( 46.09, 131.45, -40.76) +TGeoTessellated 1738 Local ( 43.39, 146.04, -37.88) Global ( 43.39, 146.04, -37.88) +TGeoTessellated 1739 Local ( 45.77, 147.54, -36.21) Global ( 45.77, 147.54, -36.21) +TGeoTessellated 1740 Local ( 46.16, 145.86, -35.84) Global ( 46.16, 145.86, -35.84) +TGeoTessellated 1741 Local ( 44.06, 144.53, -37.28) Global ( 44.06, 144.53, -37.28) +TGeoTessellated 1742 Local ( 44.73, 143.02, -36.67) Global ( 44.73, 143.02, -36.67) +TGeoTessellated 1743 Local ( 43.49, 141.10, -37.79) Global ( 43.49, 141.10, -37.79) +TGeoTessellated 1744 Local ( 42.57, 142.25, -38.50) Global ( 42.57, 142.25, -38.50) +TGeoTessellated 1745 Local ( 41.03, 139.77, -40.19) Global ( 41.03, 139.77, -40.19) +TGeoTessellated 1746 Local ( 41.65, 143.40, -39.21) Global ( 41.65, 143.40, -39.21) +TGeoTessellated 1747 Local ( 42.13, 139.18, -39.51) Global ( 42.13, 139.18, -39.51) +TGeoTessellated 1748 Local ( 43.24, 138.58, -38.83) Global ( 43.24, 138.58, -38.83) +TGeoTessellated 1749 Local ( 43.91, 135.98, -39.58) Global ( 43.91, 135.98, -39.58) +TGeoTessellated 1750 Local ( 47.78, 129.31, -41.59) Global ( 47.78, 129.31, -41.59) +TGeoTessellated 1751 Local ( 45.45, 130.81, -41.55) Global ( 45.45, 130.81, -41.55) +TGeoTessellated 1752 Local ( 48.09, 130.14, -40.70) Global ( 48.09, 130.14, -40.70) +TGeoTessellated 1753 Local ( 48.40, 130.97, -39.81) Global ( 48.40, 130.97, -39.81) +TGeoTessellated 1754 Local ( 50.12, 130.24, -39.32) Global ( 50.12, 130.24, -39.32) +TGeoTessellated 1755 Local ( 50.11, 129.34, -40.12) Global ( 50.11, 129.34, -40.12) +TGeoTessellated 1756 Local ( 52.35, 128.12, -39.76) Global ( 52.35, 128.12, -39.76) +TGeoTessellated 1757 Local ( 50.10, 128.43, -40.91) Global ( 50.10, 128.43, -40.91) +TGeoTessellated 1758 Local ( 52.08, 129.07, -39.19) Global ( 52.08, 129.07, -39.19) +TGeoTessellated 1759 Local ( 51.81, 130.01, -38.61) Global ( 51.81, 130.01, -38.61) +TGeoTessellated 1760 Local ( 53.42, 130.29, -37.79) Global ( 53.42, 130.29, -37.79) +TGeoTessellated 1761 Local ( 53.99, 129.38, -38.17) Global ( 53.99, 129.38, -38.17) +TGeoTessellated 1762 Local ( 54.90, 131.21, -36.98) Global ( 54.90, 131.21, -36.98) +TGeoTessellated 1763 Local ( 56.14, 132.81, -36.25) Global ( 56.14, 132.81, -36.25) +TGeoTessellated 1764 Local ( 57.28, 132.64, -36.24) Global ( 57.28, 132.64, -36.24) +TGeoTessellated 1765 Local ( 55.85, 130.62, -37.19) Global ( 55.85, 130.62, -37.19) +TGeoTessellated 1766 Local ( 56.87, 130.00, -37.37) Global ( 56.87, 130.00, -37.37) +TGeoTessellated 1767 Local ( 54.56, 128.49, -38.56) Global ( 54.56, 128.49, -38.56) +TGeoTessellated 1768 Local ( 59.27, 135.12, -34.81) Global ( 59.27, 135.12, -34.81) +TGeoTessellated 1769 Local ( 58.57, 132.38, -36.06) Global ( 58.57, 132.38, -36.06) +TGeoTessellated 1770 Local ( 58.01, 135.00, -35.28) Global ( 58.01, 135.00, -35.28) +TGeoTessellated 1771 Local ( 56.94, 134.93, -35.53) Global ( 56.94, 134.93, -35.53) +TGeoTessellated 1772 Local ( 57.04, 137.29, -34.82) Global ( 57.04, 137.29, -34.82) +TGeoTessellated 1773 Local ( 57.98, 137.57, -34.37) Global ( 57.98, 137.57, -34.37) +TGeoTessellated 1774 Local ( 57.95, 140.75, -33.04) Global ( 57.95, 140.75, -33.04) +TGeoTessellated 1775 Local ( 59.01, 137.96, -33.79) Global ( 59.01, 137.96, -33.79) +TGeoTessellated 1776 Local ( 57.08, 140.17, -33.59) Global ( 57.08, 140.17, -33.59) +TGeoTessellated 1777 Local ( 56.21, 139.60, -34.15) Global ( 56.21, 139.60, -34.15) +TGeoTessellated 1778 Local ( 54.64, 141.65, -33.77) Global ( 54.64, 141.65, -33.77) +TGeoTessellated 1779 Local ( 55.30, 142.57, -33.22) Global ( 55.30, 142.57, -33.22) +TGeoTessellated 1780 Local ( 53.42, 145.77, -32.78) Global ( 53.42, 145.77, -32.78) +TGeoTessellated 1781 Local ( 55.95, 143.48, -32.67) Global ( 55.95, 143.48, -32.67) +TGeoTessellated 1782 Local ( 52.99, 144.49, -33.21) Global ( 52.99, 144.49, -33.21) +TGeoTessellated 1783 Local ( 52.56, 143.21, -33.63) Global ( 52.56, 143.21, -33.63) +TGeoTessellated 1784 Local ( 50.48, 144.21, -33.85) Global ( 50.48, 144.21, -33.85) +TGeoTessellated 1785 Local ( 50.71, 145.79, -33.67) Global ( 50.71, 145.79, -33.67) +TGeoTessellated 1786 Local ( 48.39, 148.01, -34.64) Global ( 48.39, 148.01, -34.64) +TGeoTessellated 1787 Local ( 50.93, 147.38, -33.48) Global ( 50.93, 147.38, -33.48) +TGeoTessellated 1788 Local ( 48.45, 146.27, -34.55) Global ( 48.45, 146.27, -34.55) +TGeoTessellated 1789 Local ( 48.51, 144.53, -34.46) Global ( 48.51, 144.53, -34.46) +TGeoTessellated 1790 Local ( 46.55, 144.18, -35.48) Global ( 46.55, 144.18, -35.48) +TGeoTessellated 1791 Local ( 49.73, 130.06, -38.47) Global ( 49.73, 130.06, -38.47) +TGeoTessellated 1792 Local ( 48.00, 130.76, -39.01) Global ( 48.00, 130.76, -39.01) +TGeoTessellated 1793 Local ( 46.24, 131.85, -39.27) Global ( 46.24, 131.85, -39.27) +TGeoTessellated 1794 Local ( 43.46, 135.72, -38.77) Global ( 43.46, 135.72, -38.77) +TGeoTessellated 1795 Local ( 42.84, 138.17, -38.01) Global ( 42.84, 138.17, -38.01) +TGeoTessellated 1796 Local ( 43.13, 140.51, -36.87) Global ( 43.13, 140.51, -36.87) +TGeoTessellated 1797 Local ( 44.66, 133.54, -39.19) Global ( 44.66, 133.54, -39.19) +TGeoTessellated 1798 Local ( 52.91, 130.14, -37.09) Global ( 52.91, 130.14, -37.09) +TGeoTessellated 1799 Local ( 51.38, 129.85, -37.82) Global ( 51.38, 129.85, -37.82) +TGeoTessellated 1800 Local ( 44.20, 142.38, -35.66) Global ( 44.20, 142.38, -35.66) +TGeoTessellated 1801 Local ( 45.97, 143.51, -34.52) Global ( 45.97, 143.51, -34.52) +TGeoTessellated 1802 Local ( 55.44, 132.64, -35.77) Global ( 55.44, 132.64, -35.77) +TGeoTessellated 1803 Local ( 54.30, 131.08, -36.39) Global ( 54.30, 131.08, -36.39) +TGeoTessellated 1804 Local ( 47.98, 143.92, -33.70) Global ( 47.98, 143.92, -33.70) +TGeoTessellated 1805 Local ( 50.03, 143.56, -33.32) Global ( 50.03, 143.56, -33.32) +TGeoTessellated 1806 Local ( 56.22, 136.78, -34.46) Global ( 56.22, 136.78, -34.46) +TGeoTessellated 1807 Local ( 56.18, 134.60, -35.13) Global ( 56.18, 134.60, -35.13) +TGeoTessellated 1808 Local ( 52.10, 142.55, -33.23) Global ( 52.10, 142.55, -33.23) +TGeoTessellated 1809 Local ( 54.04, 141.00, -33.40) Global ( 54.04, 141.00, -33.40) +TGeoTessellated 1810 Local ( 55.45, 138.97, -33.83) Global ( 55.45, 138.97, -33.83) +TGeoTessellated 1811 Local ( 60.06, 131.81, -35.25) Global ( 60.06, 131.81, -35.25) +TGeoTessellated 1812 Local ( 58.22, 128.91, -37.33) Global ( 58.22, 128.91, -37.33) +TGeoTessellated 1813 Local ( 55.08, 126.96, -39.04) Global ( 55.08, 126.96, -39.04) +TGeoTessellated 1814 Local ( 60.33, 138.87, -32.42) Global ( 60.33, 138.87, -32.42) +TGeoTessellated 1815 Local ( 60.82, 135.30, -33.58) Global ( 60.82, 135.30, -33.58) +TGeoTessellated 1816 Local ( 42.95, 129.62, -43.65) Global ( 42.95, 129.62, -43.65) +TGeoTessellated 1817 Local ( 39.82, 132.63, -42.88) Global ( 39.82, 132.63, -42.88) +TGeoTessellated 1818 Local ( 37.81, 136.60, -42.37) Global ( 37.81, 136.60, -42.37) +TGeoTessellated 1819 Local ( 50.94, 150.63, -32.07) Global ( 50.94, 150.63, -32.07) +TGeoTessellated 1820 Local ( 54.17, 148.48, -31.42) Global ( 54.17, 148.48, -31.42) +TGeoTessellated 1821 Local ( 57.01, 145.45, -31.23) Global ( 57.01, 145.45, -31.23) +TGeoTessellated 1822 Local ( 38.09, 145.89, -39.69) Global ( 38.09, 145.89, -39.69) +TGeoTessellated 1823 Local ( 40.54, 149.09, -37.67) Global ( 40.54, 149.09, -37.67) +TGeoTessellated 1824 Local ( 43.87, 150.98, -35.44) Global ( 43.87, 150.98, -35.44) +TGeoTessellated 1825 Local ( 37.12, 141.42, -41.33) Global ( 37.12, 141.42, -41.33) +TGeoTessellated 1826 Local ( 49.51, 126.80, -42.69) Global ( 49.51, 126.80, -42.69) +TGeoTessellated 1827 Local ( 46.31, 127.80, -43.68) Global ( 46.31, 127.80, -43.68) +TGeoTessellated 1828 Local ( 52.32, 126.48, -40.99) Global ( 52.32, 126.48, -40.99) +TGeoTessellated 1829 Local ( 59.12, 142.13, -31.55) Global ( 59.12, 142.13, -31.55) +TGeoTessellated 1830 Local ( 47.50, 151.56, -33.51) Global ( 47.50, 151.56, -33.51) +TGeoTessellated 1831 Local ( 61.93, 130.28, -33.60) Global ( 61.93, 130.28, -33.60) +TGeoTessellated 1832 Local ( 59.47, 126.10, -36.86) Global ( 59.47, 126.10, -36.86) +TGeoTessellated 1833 Local ( 55.98, 124.21, -39.81) Global ( 55.98, 124.21, -39.81) +TGeoTessellated 1834 Local ( 61.94, 139.51, -29.85) Global ( 61.94, 139.51, -29.85) +TGeoTessellated 1835 Local ( 62.77, 134.92, -31.15) Global ( 62.77, 134.92, -31.15) +TGeoTessellated 1836 Local ( 40.05, 127.16, -44.88) Global ( 40.05, 127.16, -44.88) +TGeoTessellated 1837 Local ( 35.34, 130.92, -44.75) Global ( 35.34, 130.92, -44.75) +TGeoTessellated 1838 Local ( 32.53, 135.69, -43.26) Global ( 32.53, 135.69, -43.26) +TGeoTessellated 1839 Local ( 50.14, 153.65, -28.73) Global ( 50.14, 153.65, -28.73) +TGeoTessellated 1840 Local ( 54.52, 150.95, -28.34) Global ( 54.52, 150.95, -28.34) +TGeoTessellated 1841 Local ( 58.07, 147.46, -28.60) Global ( 58.07, 147.46, -28.60) +TGeoTessellated 1842 Local ( 32.44, 147.87, -38.28) Global ( 32.44, 147.87, -38.28) +TGeoTessellated 1843 Local ( 36.14, 151.73, -35.46) Global ( 36.14, 151.73, -35.46) +TGeoTessellated 1844 Local ( 40.79, 154.09, -32.81) Global ( 40.79, 154.09, -32.81) +TGeoTessellated 1845 Local ( 31.25, 142.63, -41.26) Global ( 31.25, 142.63, -41.26) +TGeoTessellated 1846 Local ( 48.55, 123.89, -44.25) Global ( 48.55, 123.89, -44.25) +TGeoTessellated 1847 Local ( 44.48, 124.75, -45.07) Global ( 44.48, 124.75, -45.07) +TGeoTessellated 1848 Local ( 52.22, 123.77, -42.08) Global ( 52.22, 123.77, -42.08) +TGeoTessellated 1849 Local ( 60.35, 143.74, -29.03) Global ( 60.35, 143.74, -29.03) +TGeoTessellated 1850 Local ( 45.53, 154.72, -30.48) Global ( 45.53, 154.72, -30.48) +TGeoTessellated 1851 Local ( 64.83, 128.14, -31.05) Global ( 64.83, 128.14, -31.05) +TGeoTessellated 1852 Local ( 61.41, 121.34, -36.02) Global ( 61.41, 121.34, -36.02) +TGeoTessellated 1853 Local ( 64.61, 139.56, -25.90) Global ( 64.61, 139.56, -25.90) +TGeoTessellated 1854 Local ( 66.02, 134.24, -27.22) Global ( 66.02, 134.24, -27.22) +TGeoTessellated 1855 Local ( 72.66, 116.37, -23.63) Global ( 72.66, 116.37, -23.63) +TGeoTessellated 1856 Local ( 72.24, 116.44, -22.33) Global ( 72.24, 116.44, -22.33) +TGeoTessellated 1857 Local ( 72.02, 116.24, -22.90) Global ( 72.02, 116.24, -22.90) +TGeoTessellated 1858 Local ( 72.89, 115.88, -22.64) Global ( 72.89, 115.88, -22.64) +TGeoTessellated 1859 Local ( 73.39, 117.14, -19.01) Global ( 73.39, 117.14, -19.01) +TGeoTessellated 1860 Local ( 74.06, 115.74, -18.88) Global ( 74.06, 115.74, -18.88) +TGeoTessellated 1861 Local ( 73.59, 115.84, -21.00) Global ( 73.59, 115.84, -21.00) +TGeoTessellated 1862 Local ( 72.75, 116.86, -20.96) Global ( 72.75, 116.86, -20.96) +TGeoTessellated 1863 Local ( 73.41, 118.58, -21.89) Global ( 73.41, 118.58, -21.89) +TGeoTessellated 1864 Local ( 74.35, 119.37, -20.33) Global ( 74.35, 119.37, -20.33) +TGeoTessellated 1865 Local ( 76.67, 121.46, -21.13) Global ( 76.67, 121.46, -21.13) +TGeoTessellated 1866 Local ( 66.28, 120.96, -33.92) Global ( 66.28, 120.96, -33.92) +TGeoTessellated 1867 Local ( 64.78, 120.52, -33.75) Global ( 64.78, 120.52, -33.75) +TGeoTessellated 1868 Local ( 69.75, 125.89, -28.12) Global ( 69.75, 125.89, -28.12) +TGeoTessellated 1869 Local ( 71.39, 125.79, -28.37) Global ( 71.39, 125.79, -28.37) +TGeoTessellated 1870 Local ( 67.95, 126.83, -28.51) Global ( 67.95, 126.83, -28.51) +TGeoTessellated 1871 Local ( 62.67, 119.62, -35.74) Global ( 62.67, 119.62, -35.74) +TGeoTessellated 1872 Local ( 69.36, 107.64, -26.64) Global ( 69.36, 107.64, -26.64) +TGeoTessellated 1873 Local ( 72.92, 107.10, -21.11) Global ( 72.92, 107.10, -21.11) +TGeoTessellated 1874 Local ( 70.17, 106.64, -20.15) Global ( 70.17, 106.64, -20.15) +TGeoTessellated 1875 Local ( 65.43, 107.53, -26.92) Global ( 65.43, 107.53, -26.92) +TGeoTessellated 1876 Local ( 69.20, 130.48, -24.81) Global ( 69.20, 130.48, -24.81) +TGeoTessellated 1877 Local ( 70.68, 130.25, -24.98) Global ( 70.68, 130.25, -24.98) +TGeoTessellated 1878 Local ( 70.51, 134.32, -20.27) Global ( 70.51, 134.32, -20.27) +TGeoTessellated 1879 Local ( 71.67, 134.36, -20.76) Global ( 71.67, 134.36, -20.76) +TGeoTessellated 1880 Local ( 73.48, 133.88, -21.13) Global ( 73.48, 133.88, -21.13) +TGeoTessellated 1881 Local ( 72.70, 129.90, -25.48) Global ( 72.70, 129.90, -25.48) +TGeoTessellated 1882 Local ( 71.26, 121.99, -34.78) Global ( 71.26, 121.99, -34.78) +TGeoTessellated 1883 Local ( 69.00, 121.60, -34.56) Global ( 69.00, 121.60, -34.56) +TGeoTessellated 1884 Local ( 73.17, 126.29, -28.81) Global ( 73.17, 126.29, -28.81) +TGeoTessellated 1885 Local ( 75.05, 126.76, -29.21) Global ( 75.05, 126.76, -29.21) +TGeoTessellated 1886 Local ( 63.15, 116.36, -37.35) Global ( 63.15, 116.36, -37.35) +TGeoTessellated 1887 Local ( 64.21, 119.21, -36.47) Global ( 64.21, 119.21, -36.47) +TGeoTessellated 1888 Local ( 67.37, 119.36, -37.05) Global ( 67.37, 119.36, -37.05) +TGeoTessellated 1889 Local ( 66.32, 116.56, -38.42) Global ( 66.32, 116.56, -38.42) +TGeoTessellated 1890 Local ( 70.60, 118.96, -37.17) Global ( 70.60, 118.96, -37.17) +TGeoTessellated 1891 Local ( 69.72, 116.04, -38.08) Global ( 69.72, 116.04, -38.08) +TGeoTessellated 1892 Local ( 66.79, 113.29, -37.59) Global ( 66.79, 113.29, -37.59) +TGeoTessellated 1893 Local ( 63.53, 113.12, -36.96) Global ( 63.53, 113.12, -36.96) +TGeoTessellated 1894 Local ( 72.20, 107.98, -26.87) Global ( 72.20, 107.98, -26.87) +TGeoTessellated 1895 Local ( 65.59, 109.03, -33.60) Global ( 65.59, 109.03, -33.60) +TGeoTessellated 1896 Local ( 68.74, 109.18, -33.59) Global ( 68.74, 109.18, -33.59) +TGeoTessellated 1897 Local ( 71.83, 110.13, -33.29) Global ( 71.83, 110.13, -33.29) +TGeoTessellated 1898 Local ( 74.91, 108.32, -27.05) Global ( 74.91, 108.32, -27.05) +TGeoTessellated 1899 Local ( 77.90, 107.94, -21.22) Global ( 77.90, 107.94, -21.22) +TGeoTessellated 1900 Local ( 75.27, 107.42, -21.42) Global ( 75.27, 107.42, -21.42) +TGeoTessellated 1901 Local ( 75.34, 133.30, -21.63) Global ( 75.34, 133.30, -21.63) +TGeoTessellated 1902 Local ( 77.62, 132.46, -22.23) Global ( 77.62, 132.46, -22.23) +TGeoTessellated 1903 Local ( 76.32, 129.88, -26.48) Global ( 76.32, 129.88, -26.48) +TGeoTessellated 1904 Local ( 74.52, 129.92, -26.01) Global ( 74.52, 129.92, -26.01) +TGeoTessellated 1905 Local ( 72.00, 116.74, -36.99) Global ( 72.00, 116.74, -36.99) +TGeoTessellated 1906 Local ( 71.90, 115.22, -37.06) Global ( 71.90, 115.22, -37.06) +TGeoTessellated 1907 Local ( 71.05, 113.07, -37.45) Global ( 71.05, 113.07, -37.45) +TGeoTessellated 1908 Local ( 85.29, 111.65, -30.20) Global ( 85.29, 111.65, -30.20) +TGeoTessellated 1909 Local ( 88.81, 110.58, -26.95) Global ( 88.81, 110.58, -26.95) +TGeoTessellated 1910 Local ( 87.98, 108.37, -27.08) Global ( 87.98, 108.37, -27.08) +TGeoTessellated 1911 Local ( 84.12, 110.13, -30.61) Global ( 84.12, 110.13, -30.61) +TGeoTessellated 1912 Local ( 85.16, 107.57, -26.84) Global ( 85.16, 107.57, -26.84) +TGeoTessellated 1913 Local ( 82.92, 108.63, -29.63) Global ( 82.92, 108.63, -29.63) +TGeoTessellated 1914 Local ( 90.36, 109.79, -24.12) Global ( 90.36, 109.79, -24.12) +TGeoTessellated 1915 Local ( 89.53, 107.12, -23.79) Global ( 89.53, 107.12, -23.79) +TGeoTessellated 1916 Local ( 87.06, 106.51, -23.29) Global ( 87.06, 106.51, -23.29) +TGeoTessellated 1917 Local ( 91.47, 138.16, -27.22) Global ( 91.47, 138.16, -27.22) +TGeoTessellated 1918 Local ( 93.09, 136.55, -27.80) Global ( 93.09, 136.55, -27.80) +TGeoTessellated 1919 Local ( 89.97, 133.54, -32.77) Global ( 89.97, 133.54, -32.77) +TGeoTessellated 1920 Local ( 88.34, 135.32, -31.97) Global ( 88.34, 135.32, -31.97) +TGeoTessellated 1921 Local ( 87.27, 128.75, -35.45) Global ( 87.27, 128.75, -35.45) +TGeoTessellated 1922 Local ( 85.89, 131.00, -34.83) Global ( 85.89, 131.00, -34.83) +TGeoTessellated 1923 Local ( 75.38, 117.26, -28.63) Global ( 75.38, 117.26, -28.63) +TGeoTessellated 1924 Local ( 77.58, 118.91, -26.62) Global ( 77.58, 118.91, -26.62) +TGeoTessellated 1925 Local ( 74.26, 118.27, -24.90) Global ( 74.26, 118.27, -24.90) +TGeoTessellated 1926 Local ( 74.14, 115.95, -26.06) Global ( 74.14, 115.95, -26.06) +TGeoTessellated 1927 Local ( 72.66, 117.28, -23.10) Global ( 72.66, 117.28, -23.10) +TGeoTessellated 1928 Local ( 74.72, 115.20, -29.28) Global ( 74.72, 115.20, -29.28) +TGeoTessellated 1929 Local ( 74.18, 115.01, -31.42) Global ( 74.18, 115.01, -31.42) +TGeoTessellated 1930 Local ( 74.51, 115.56, -23.92) Global ( 74.51, 115.56, -23.92) +TGeoTessellated 1931 Local ( 76.22, 114.98, -25.40) Global ( 76.22, 114.98, -25.40) +TGeoTessellated 1932 Local ( 78.27, 114.41, -20.27) Global ( 78.27, 114.41, -20.27) +TGeoTessellated 1933 Local ( 77.32, 114.67, -22.64) Global ( 77.32, 114.67, -22.64) +TGeoTessellated 1934 Local ( 75.21, 115.16, -21.70) Global ( 75.21, 115.16, -21.70) +TGeoTessellated 1935 Local ( 75.96, 114.95, -19.44) Global ( 75.96, 114.95, -19.44) +TGeoTessellated 1936 Local ( 76.94, 127.34, -29.54) Global ( 76.94, 127.34, -29.54) +TGeoTessellated 1937 Local ( 73.32, 122.63, -34.52) Global ( 73.32, 122.63, -34.52) +TGeoTessellated 1938 Local ( 75.68, 123.82, -34.65) Global ( 75.68, 123.82, -34.65) +TGeoTessellated 1939 Local ( 78.30, 128.69, -29.84) Global ( 78.30, 128.69, -29.84) +TGeoTessellated 1940 Local ( 74.99, 116.19, -32.30) Global ( 74.99, 116.19, -32.30) +TGeoTessellated 1941 Local ( 77.08, 117.10, -33.17) Global ( 77.08, 117.10, -33.17) +TGeoTessellated 1942 Local ( 79.23, 118.61, -30.87) Global ( 79.23, 118.61, -30.87) +TGeoTessellated 1943 Local ( 77.14, 118.11, -30.00) Global ( 77.14, 118.11, -30.00) +TGeoTessellated 1944 Local ( 81.29, 120.82, -28.87) Global ( 81.29, 120.82, -28.87) +TGeoTessellated 1945 Local ( 79.75, 119.59, -27.75) Global ( 79.75, 119.59, -27.75) +TGeoTessellated 1946 Local ( 75.76, 117.01, -35.20) Global ( 75.76, 117.01, -35.20) +TGeoTessellated 1947 Local ( 73.39, 116.23, -34.56) Global ( 73.39, 116.23, -34.56) +TGeoTessellated 1948 Local ( 72.89, 115.27, -34.29) Global ( 72.89, 115.27, -34.29) +TGeoTessellated 1949 Local ( 73.10, 114.87, -34.04) Global ( 73.10, 114.87, -34.04) +TGeoTessellated 1950 Local ( 73.09, 117.44, -36.29) Global ( 73.09, 117.44, -36.29) +TGeoTessellated 1951 Local ( 75.15, 118.02, -36.55) Global ( 75.15, 118.02, -36.55) +TGeoTessellated 1952 Local ( 78.86, 122.15, -25.11) Global ( 78.86, 122.15, -25.11) +TGeoTessellated 1953 Local ( 81.00, 123.12, -26.16) Global ( 81.00, 123.12, -26.16) +TGeoTessellated 1954 Local ( 82.73, 124.08, -27.07) Global ( 82.73, 124.08, -27.07) +TGeoTessellated 1955 Local ( 84.08, 124.72, -23.68) Global ( 84.08, 124.72, -23.68) +TGeoTessellated 1956 Local ( 82.34, 123.83, -23.05) Global ( 82.34, 123.83, -23.05) +TGeoTessellated 1957 Local ( 80.19, 122.83, -22.40) Global ( 80.19, 122.83, -22.40) +TGeoTessellated 1958 Local ( 81.17, 131.29, -29.81) Global ( 81.17, 131.29, -29.81) +TGeoTessellated 1959 Local ( 82.47, 132.78, -29.48) Global ( 82.47, 132.78, -29.48) +TGeoTessellated 1960 Local ( 82.26, 130.07, -33.64) Global ( 82.26, 130.07, -33.64) +TGeoTessellated 1961 Local ( 80.11, 127.58, -34.40) Global ( 80.11, 127.58, -34.40) +TGeoTessellated 1962 Local ( 84.44, 132.88, -32.16) Global ( 84.44, 132.88, -32.16) +TGeoTessellated 1963 Local ( 83.49, 133.99, -29.12) Global ( 83.49, 133.99, -29.12) +TGeoTessellated 1964 Local ( 84.51, 123.19, -33.85) Global ( 84.51, 123.19, -33.85) +TGeoTessellated 1965 Local ( 87.43, 126.44, -33.00) Global ( 87.43, 126.44, -33.00) +TGeoTessellated 1966 Local ( 87.41, 126.34, -31.48) Global ( 87.41, 126.34, -31.48) +TGeoTessellated 1967 Local ( 85.08, 123.79, -32.07) Global ( 85.08, 123.79, -32.07) +TGeoTessellated 1968 Local ( 87.40, 126.40, -30.31) Global ( 87.40, 126.40, -30.31) +TGeoTessellated 1969 Local ( 85.95, 124.85, -30.28) Global ( 85.95, 124.85, -30.28) +TGeoTessellated 1970 Local ( 84.20, 123.16, -30.00) Global ( 84.20, 123.16, -30.00) +TGeoTessellated 1971 Local ( 82.92, 121.69, -31.93) Global ( 82.92, 121.69, -31.93) +TGeoTessellated 1972 Local ( 81.94, 120.68, -33.76) Global ( 81.94, 120.68, -33.76) +TGeoTessellated 1973 Local ( 81.32, 120.72, -35.43) Global ( 81.32, 120.72, -35.43) +TGeoTessellated 1974 Local ( 80.99, 121.75, -36.59) Global ( 80.99, 121.75, -36.59) +TGeoTessellated 1975 Local ( 84.04, 124.60, -36.77) Global ( 84.04, 124.60, -36.77) +TGeoTessellated 1976 Local ( 84.21, 123.34, -35.58) Global ( 84.21, 123.34, -35.58) +TGeoTessellated 1977 Local ( 87.44, 127.25, -34.49) Global ( 87.44, 127.25, -34.49) +TGeoTessellated 1978 Local ( 81.92, 133.22, -27.57) Global ( 81.92, 133.22, -27.57) +TGeoTessellated 1979 Local ( 83.43, 133.82, -24.00) Global ( 83.43, 133.82, -24.00) +TGeoTessellated 1980 Local ( 84.45, 134.91, -24.14) Global ( 84.45, 134.91, -24.14) +TGeoTessellated 1981 Local ( 83.13, 134.43, -27.48) Global ( 83.13, 134.43, -27.48) +TGeoTessellated 1982 Local ( 85.70, 136.14, -24.35) Global ( 85.70, 136.14, -24.35) +TGeoTessellated 1983 Local ( 84.30, 135.51, -27.55) Global ( 84.30, 135.51, -27.55) +TGeoTessellated 1984 Local ( 85.32, 126.10, -28.06) Global ( 85.32, 126.10, -28.06) +TGeoTessellated 1985 Local ( 86.98, 127.45, -28.41) Global ( 86.98, 127.45, -28.41) +TGeoTessellated 1986 Local ( 88.58, 128.47, -28.75) Global ( 88.58, 128.47, -28.75) +TGeoTessellated 1987 Local ( 90.46, 129.83, -25.72) Global ( 90.46, 129.83, -25.72) +TGeoTessellated 1988 Local ( 88.55, 128.28, -25.19) Global ( 88.55, 128.28, -25.19) +TGeoTessellated 1989 Local ( 86.87, 126.78, -24.67) Global ( 86.87, 126.78, -24.67) +TGeoTessellated 1990 Local ( 86.44, 136.13, -29.74) Global ( 86.44, 136.13, -29.74) +TGeoTessellated 1991 Local ( 88.73, 138.38, -25.77) Global ( 88.73, 138.38, -25.77) +TGeoTessellated 1992 Local ( 90.02, 129.94, -30.48) Global ( 90.02, 129.94, -30.48) +TGeoTessellated 1993 Local ( 92.76, 132.55, -26.92) Global ( 92.76, 132.55, -26.92) +TGeoTessellated 1994 Local ( 91.95, 131.06, -26.25) Global ( 91.95, 131.06, -26.25) +TGeoTessellated 1995 Local ( 89.52, 129.10, -29.48) Global ( 89.52, 129.10, -29.48) +TGeoTessellated 1996 Local ( 77.43, 108.57, -27.20) Global ( 77.43, 108.57, -27.20) +TGeoTessellated 1997 Local ( 74.67, 110.35, -32.99) Global ( 74.67, 110.35, -32.99) +TGeoTessellated 1998 Local ( 77.24, 110.04, -32.77) Global ( 77.24, 110.04, -32.77) +TGeoTessellated 1999 Local ( 79.72, 108.45, -27.14) Global ( 79.72, 108.45, -27.14) +TGeoTessellated 2000 Local ( 74.12, 114.11, -34.43) Global ( 74.12, 114.11, -34.43) +TGeoTessellated 2001 Local ( 76.85, 113.74, -33.77) Global ( 76.85, 113.74, -33.77) +TGeoTessellated 2002 Local ( 76.31, 112.62, -34.14) Global ( 76.31, 112.62, -34.14) +TGeoTessellated 2003 Local ( 73.46, 113.09, -34.95) Global ( 73.46, 113.09, -34.95) +TGeoTessellated 2004 Local ( 78.52, 114.75, -26.07) Global ( 78.52, 114.75, -26.07) +TGeoTessellated 2005 Local ( 76.82, 114.89, -29.55) Global ( 76.82, 114.89, -29.55) +TGeoTessellated 2006 Local ( 80.90, 114.64, -26.72) Global ( 80.90, 114.64, -26.72) +TGeoTessellated 2007 Local ( 79.68, 114.36, -23.37) Global ( 79.68, 114.36, -23.37) +TGeoTessellated 2008 Local ( 82.07, 114.02, -24.10) Global ( 82.07, 114.02, -24.10) +TGeoTessellated 2009 Local ( 81.84, 107.81, -22.54) Global ( 81.84, 107.81, -22.54) +TGeoTessellated 2010 Local ( 79.89, 107.96, -22.03) Global ( 79.89, 107.96, -22.03) +TGeoTessellated 2011 Local ( 80.61, 114.07, -21.05) Global ( 80.61, 114.07, -21.05) +TGeoTessellated 2012 Local ( 82.84, 113.48, -21.75) Global ( 82.84, 113.48, -21.75) +TGeoTessellated 2013 Local ( 81.97, 107.79, -26.85) Global ( 81.97, 107.79, -26.85) +TGeoTessellated 2014 Local ( 80.25, 109.49, -31.41) Global ( 80.25, 109.49, -31.41) +TGeoTessellated 2015 Local ( 80.69, 113.20, -32.75) Global ( 80.69, 113.20, -32.75) +TGeoTessellated 2016 Local ( 80.10, 111.67, -32.81) Global ( 80.10, 111.67, -32.81) +TGeoTessellated 2017 Local ( 83.37, 113.70, -27.68) Global ( 83.37, 113.70, -27.68) +TGeoTessellated 2018 Local ( 85.15, 113.31, -25.26) Global ( 85.15, 113.31, -25.26) +TGeoTessellated 2019 Local ( 83.76, 107.26, -22.86) Global ( 83.76, 107.26, -22.86) +TGeoTessellated 2020 Local ( 86.50, 113.19, -22.88) Global ( 86.50, 113.19, -22.88) +TGeoTessellated 2021 Local ( 79.55, 132.05, -22.77) Global ( 79.55, 132.05, -22.77) +TGeoTessellated 2022 Local ( 81.37, 132.28, -23.47) Global ( 81.37, 132.28, -23.47) +TGeoTessellated 2023 Local ( 79.50, 131.02, -27.39) Global ( 79.50, 131.02, -27.39) +TGeoTessellated 2024 Local ( 78.17, 130.03, -26.87) Global ( 78.17, 130.03, -26.87) +TGeoTessellated 2025 Local ( 85.48, 125.62, -24.20) Global ( 85.48, 125.62, -24.20) +TGeoTessellated 2026 Local ( 84.02, 124.97, -27.66) Global ( 84.02, 124.97, -27.66) +TGeoTessellated 2027 Local ( 82.71, 121.90, -29.56) Global ( 82.71, 121.90, -29.56) +TGeoTessellated 2028 Local ( 80.68, 124.29, -37.00) Global ( 80.68, 124.29, -37.00) +TGeoTessellated 2029 Local ( 78.01, 119.31, -36.79) Global ( 78.01, 119.31, -36.79) +TGeoTessellated 2030 Local ( 78.04, 121.87, -37.03) Global ( 78.04, 121.87, -37.03) +TGeoTessellated 2031 Local ( 75.06, 120.44, -36.90) Global ( 75.06, 120.44, -36.90) +TGeoTessellated 2032 Local ( 79.79, 129.93, -29.92) Global ( 79.79, 129.93, -29.92) +TGeoTessellated 2033 Local ( 77.96, 125.48, -34.73) Global ( 77.96, 125.48, -34.73) +TGeoTessellated 2034 Local ( 79.32, 118.19, -33.58) Global ( 79.32, 118.19, -33.58) +TGeoTessellated 2035 Local ( 81.00, 119.95, -31.53) Global ( 81.00, 119.95, -31.53) +TGeoTessellated 2036 Local ( 83.09, 127.34, -36.40) Global ( 83.09, 127.34, -36.40) +TGeoTessellated 2037 Local ( 72.54, 119.71, -36.66) Global ( 72.54, 119.71, -36.66) +TGeoTessellated 2038 Local ( 61.12, 116.29, -36.46) Global ( 61.12, 116.29, -36.46) +TGeoTessellated 2039 Local ( 68.34, 111.33, -36.37) Global ( 68.34, 111.33, -36.37) +TGeoTessellated 2040 Local ( 82.55, 132.91, -23.85) Global ( 82.55, 132.91, -23.85) +TGeoTessellated 2041 Local ( 93.19, 134.49, -27.58) Global ( 93.19, 134.49, -27.58) +TGeoTessellated 2042 Local ( 88.42, 111.98, -26.64) Global ( 88.42, 111.98, -26.64) +TGeoTessellated 2043 Local ( 89.87, 111.46, -23.98) Global ( 89.87, 111.46, -23.98) +TGeoTessellated 2044 Local ( 71.96, 114.39, -36.04) Global ( 71.96, 114.39, -36.04) +TGeoTessellated 2045 Local ( 75.28, 114.47, -33.13) Global ( 75.28, 114.47, -33.13) +TGeoTessellated 2046 Local ( 79.22, 114.86, -29.73) Global ( 79.22, 114.86, -29.73) +TGeoTessellated 2047 Local ( 78.04, 114.26, -32.47) Global ( 78.04, 114.26, -32.47) +TGeoTessellated 2048 Local ( 81.39, 113.88, -31.56) Global ( 81.39, 113.88, -31.56) +TGeoTessellated 2049 Local ( 81.42, 114.44, -29.78) Global ( 81.42, 114.44, -29.78) +TGeoTessellated 2050 Local ( 78.37, 118.20, -35.54) Global ( 78.37, 118.20, -35.54) +TGeoTessellated 2051 Local ( 85.43, 112.54, -29.52) Global ( 85.43, 112.54, -29.52) +TGeoTessellated 2052 Local ( 90.21, 131.46, -31.70) Global ( 90.21, 131.46, -31.70) +TGeoTessellated 2053 Local ( 75.24, 120.86, -23.29) Global ( 75.24, 120.86, -23.29) +TGeoTessellated 2054 Local ( 80.80, 132.08, -27.69) Global ( 80.80, 132.08, -27.69) +TGeoTessellated 2055 Local ( 69.94, 135.89, -21.16) Global ( 69.94, 135.89, -21.16) +TGeoTessellated 2056 Local ( 68.24, 131.67, -26.20) Global ( 68.24, 131.67, -26.20) +TGeoTessellated 2057 Local ( 62.81, 120.69, -35.99) Global ( 62.81, 120.69, -35.99) +TGeoTessellated 2058 Local ( 67.44, 127.14, -29.52) Global ( 67.44, 127.14, -29.52) +TGeoTessellated 2059 Local ( 60.58, 117.65, -37.39) Global ( 60.58, 117.65, -37.39) +TGeoTessellated 2060 Local ( 61.20, 113.46, -35.28) Global ( 61.20, 113.46, -35.28) +TGeoTessellated 2061 Local ( 62.60, 110.08, -31.86) Global ( 62.60, 110.08, -31.86) +TGeoTessellated 2062 Local ( 62.09, 109.56, -33.15) Global ( 62.09, 109.56, -33.15) +TGeoTessellated 2063 Local ( 60.78, 113.25, -36.20) Global ( 60.78, 113.25, -36.20) +TGeoTessellated 2064 Local ( 68.47, 104.81, -22.54) Global ( 68.47, 104.81, -22.54) +TGeoTessellated 2065 Local ( 65.24, 105.93, -28.18) Global ( 65.24, 105.93, -28.18) +TGeoTessellated 2066 Local ( 71.31, 112.39, -36.01) Global ( 71.31, 112.39, -36.01) +TGeoTessellated 2067 Local ( 68.32, 110.62, -35.29) Global ( 68.32, 110.62, -35.29) +TGeoTessellated 2068 Local ( 1.54, 66.23, -48.73) Global ( 1.54, 66.23, -48.73) +TGeoTessellated 2069 Local ( -9.80, 108.13, 7.22) Global ( -9.80, 108.13, 7.22) +TGeoTessellated 2070 Local ( -10.93, 112.93, 8.03) Global ( -10.93, 112.93, 8.03) +TGeoTessellated 2071 Local ( -8.04, 103.46, 6.34) Global ( -8.04, 103.46, 6.34) +TGeoTessellated 2072 Local ( -5.67, 99.12, 5.27) Global ( -5.67, 99.12, 5.27) +TGeoTessellated 2073 Local ( -2.82, 95.16, 4.05) Global ( -2.82, 95.16, 4.05) +TGeoTessellated 2074 Local ( 1.31, 91.53, 5.92) Global ( 1.31, 91.53, 5.92) +TGeoTessellated 2075 Local ( -7.42, 103.38, 8.22) Global ( -7.42, 103.38, 8.22) +TGeoTessellated 2076 Local ( -4.91, 99.02, 7.75) Global ( -4.91, 99.02, 7.75) +TGeoTessellated 2077 Local ( -1.90, 95.15, 7.09) Global ( -1.90, 95.15, 7.09) +TGeoTessellated 2078 Local ( 59.19, 91.80, 8.95) Global ( 59.19, 91.80, 8.95) +TGeoTessellated 2079 Local ( -11.54, 10.15, 19.92) Global ( -11.54, 10.15, 19.92) +TGeoTessellated 2080 Local ( -5.50, 10.14, 21.82) Global ( -5.50, 10.14, 21.82) +TGeoTessellated 2081 Local ( -15.93, 10.16, 16.38) Global ( -15.93, 10.16, 16.38) +TGeoTessellated 2082 Local ( -19.33, 10.17, 11.64) Global ( -19.33, 10.17, 11.64) +TGeoTessellated 2083 Local ( -22.54, 10.17, 4.40) Global ( -22.54, 10.17, 4.40) +TGeoTessellated 2084 Local ( 32.72, 10.13, 18.53) Global ( 32.72, 10.13, 18.53) +TGeoTessellated 2085 Local ( 40.27, 10.12, 13.67) Global ( 40.27, 10.12, 13.67) +TGeoTessellated 2086 Local ( 14.23, 10.14, 23.05) Global ( 14.23, 10.14, 23.05) +TGeoTessellated 2087 Local ( 22.80, 10.13, 21.70) Global ( 22.80, 10.13, 21.70) +TGeoTessellated 2088 Local ( 2.70, 10.14, 23.12) Global ( 2.70, 10.14, 23.12) +TGeoTessellated 2089 Local ( 44.42, 10.13, 7.57) Global ( 44.42, 10.13, 7.57) +TGeoTessellated 2090 Local ( 6.82, 10.14, 23.64) Global ( 6.82, 10.14, 23.64) +TGeoTessellated 2091 Local ( 46.58, 10.16, 0.80) Global ( 46.58, 10.16, 0.80) +TGeoTessellated 2092 Local ( -25.15, 10.16, -2.21) Global ( -25.15, 10.16, -2.21) +TGeoTessellated 2093 Local ( 46.54, 10.15, -8.36) Global ( 46.54, 10.15, -8.36) +TGeoTessellated 2094 Local ( -6.57, 10.14, -30.08) Global ( -6.57, 10.14, -30.08) +TGeoTessellated 2095 Local ( -12.60, 10.15, -28.27) Global ( -12.60, 10.15, -28.27) +TGeoTessellated 2096 Local ( -18.50, 10.16, -25.61) Global ( -18.50, 10.16, -25.61) +TGeoTessellated 2097 Local ( -21.70, 10.17, -20.53) Global ( -21.70, 10.17, -20.53) +TGeoTessellated 2098 Local ( -21.65, 10.16, -14.29) Global ( -21.65, 10.16, -14.29) +TGeoTessellated 2099 Local ( 40.66, 10.14, -21.95) Global ( 40.66, 10.14, -21.95) +TGeoTessellated 2100 Local ( 32.96, 10.15, -27.16) Global ( 32.96, 10.15, -27.16) +TGeoTessellated 2101 Local ( 22.96, 10.16, -31.83) Global ( 22.96, 10.16, -31.83) +TGeoTessellated 2102 Local ( 13.84, 10.16, -33.65) Global ( 13.84, 10.16, -33.65) +TGeoTessellated 2103 Local ( 2.12, 10.15, -32.44) Global ( 2.12, 10.15, -32.44) +TGeoTessellated 2104 Local ( 44.77, 10.13, -15.51) Global ( 44.77, 10.13, -15.51) +TGeoTessellated 2105 Local ( 6.04, 10.15, -32.53) Global ( 6.04, 10.15, -32.53) +TGeoTessellated 2106 Local ( -22.73, 10.17, -8.80) Global ( -22.73, 10.17, -8.80) +TGeoTessellated 2107 Local ( 12.59, 10.17, -3.81) Global ( 12.59, 10.17, -3.81) +TGeoTessellated Bounding box: dx= 82.74 dy= 77.02 dz= 57.63 Origin: x= 13.44 y= 86.95 z= -3.70 diff --git a/examples/DDCAD/ref/Ref_PLY_Wuson.txt b/examples/DDCAD/ref/Ref_PLY_Wuson.txt new file mode 100644 index 000000000..49aceffab --- /dev/null +++ b/examples/DDCAD/ref/Ref_PLY_Wuson.txt @@ -0,0 +1,2120 @@ +ShapeCheck[0] TGeoTessellated 2117 Mesh-points: +TGeoTessellated CAD_Shape N(mesh)=2117 N(vert)=2117 N(seg)=11196 N(pols)=3732 +TGeoTessellated 0 Local ( 0.16, 0.54, -0.27) Global ( 30.16, 30.54, 29.73) +TGeoTessellated 1 Local ( 0.00, 0.50, -0.28) Global ( 30.00, 30.50, 29.72) +TGeoTessellated 2 Local ( 0.14, 0.52, -0.37) Global ( 30.14, 30.52, 29.63) +TGeoTessellated 3 Local ( 0.00, 0.45, -0.37) Global ( 30.00, 30.45, 29.63) +TGeoTessellated 4 Local ( 0.11, 1.46, -0.36) Global ( 30.11, 31.46, 29.64) +TGeoTessellated 5 Local ( 0.11, 1.48, -0.52) Global ( 30.11, 31.48, 29.48) +TGeoTessellated 6 Local ( 0.00, 1.49, -0.36) Global ( 30.00, 31.49, 29.64) +TGeoTessellated 7 Local ( 0.00, 1.52, -0.53) Global ( 30.00, 31.52, 29.47) +TGeoTessellated 8 Local ( 0.43, 0.89, -0.12) Global ( 30.43, 30.89, 29.88) +TGeoTessellated 9 Local ( 0.44, 0.91, 0.02) Global ( 30.44, 30.91, 30.02) +TGeoTessellated 10 Local ( 0.41, 0.71, -0.13) Global ( 30.41, 30.71, 29.87) +TGeoTessellated 11 Local ( 0.40, 0.72, 0.02) Global ( 30.40, 30.72, 30.02) +TGeoTessellated 12 Local ( 0.06, 1.06, 0.90) Global ( 30.06, 31.06, 30.90) +TGeoTessellated 13 Local ( 0.00, 1.07, 0.88) Global ( 30.00, 31.07, 30.88) +TGeoTessellated 14 Local ( 0.02, 0.86, 0.80) Global ( 30.02, 30.86, 30.80) +TGeoTessellated 15 Local ( 0.00, 0.87, 0.79) Global ( 30.00, 30.87, 30.79) +TGeoTessellated 16 Local ( 0.01, 0.76, 0.69) Global ( 30.01, 30.76, 30.69) +TGeoTessellated 17 Local ( 0.00, 0.77, 0.69) Global ( 30.00, 30.77, 30.69) +TGeoTessellated 18 Local ( 0.00, 0.48, -0.82) Global ( 30.00, 30.48, 29.18) +TGeoTessellated 19 Local ( 0.08, 0.50, -0.81) Global ( 30.08, 30.50, 29.19) +TGeoTessellated 20 Local ( 0.00, 0.43, -0.74) Global ( 30.00, 30.43, 29.26) +TGeoTessellated 21 Local ( 0.08, 0.46, -0.74) Global ( 30.08, 30.46, 29.26) +TGeoTessellated 22 Local ( 0.11, 1.39, -0.83) Global ( 30.11, 31.39, 29.17) +TGeoTessellated 23 Local ( 0.08, 1.30, -0.94) Global ( 30.08, 31.30, 29.06) +TGeoTessellated 24 Local ( 0.00, 1.40, -0.85) Global ( 30.00, 31.40, 29.15) +TGeoTessellated 25 Local ( 0.00, 1.31, -0.95) Global ( 30.00, 31.31, 29.05) +TGeoTessellated 26 Local ( 0.25, 1.10, -0.89) Global ( 30.25, 31.10, 29.11) +TGeoTessellated 27 Local ( 0.16, 1.23, -0.93) Global ( 30.16, 31.23, 29.07) +TGeoTessellated 28 Local ( 0.32, 1.18, -0.76) Global ( 30.32, 31.18, 29.24) +TGeoTessellated 29 Local ( 0.20, 1.32, -0.79) Global ( 30.20, 31.32, 29.21) +TGeoTessellated 30 Local ( 0.00, 0.54, 0.22) Global ( 30.00, 30.54, 30.22) +TGeoTessellated 31 Local ( 0.00, 0.51, -0.00) Global ( 30.00, 30.51, 30.00) +TGeoTessellated 32 Local ( 0.16, 0.56, 0.22) Global ( 30.16, 30.56, 30.22) +TGeoTessellated 33 Local ( 0.18, 0.52, 0.00) Global ( 30.18, 30.52, 30.00) +TGeoTessellated 34 Local ( 0.41, 0.93, 0.19) Global ( 30.41, 30.93, 30.19) +TGeoTessellated 35 Local ( 0.36, 0.94, 0.31) Global ( 30.36, 30.94, 30.31) +TGeoTessellated 36 Local ( 0.37, 0.76, 0.22) Global ( 30.37, 30.76, 30.22) +TGeoTessellated 37 Local ( 0.34, 0.80, 0.32) Global ( 30.34, 30.80, 30.32) +TGeoTessellated 38 Local ( 0.00, 1.34, 0.38) Global ( 30.00, 31.34, 30.38) +TGeoTessellated 39 Local ( 0.11, 1.30, 0.36) Global ( 30.11, 31.30, 30.36) +TGeoTessellated 40 Local ( 0.00, 1.37, 0.12) Global ( 30.00, 31.37, 30.12) +TGeoTessellated 41 Local ( 0.12, 1.34, 0.13) Global ( 30.12, 31.34, 30.13) +TGeoTessellated 42 Local ( 0.00, 0.41, -0.68) Global ( 30.00, 30.41, 29.32) +TGeoTessellated 43 Local ( 0.07, 0.43, -0.67) Global ( 30.07, 30.43, 29.33) +TGeoTessellated 44 Local ( 0.00, 0.41, -0.52) Global ( 30.00, 30.41, 29.48) +TGeoTessellated 45 Local ( 0.09, 0.45, -0.53) Global ( 30.09, 30.45, 29.47) +TGeoTessellated 46 Local ( 0.00, 1.48, -0.69) Global ( 30.00, 31.48, 29.31) +TGeoTessellated 47 Local ( 0.12, 1.45, -0.68) Global ( 30.12, 31.45, 29.32) +TGeoTessellated 48 Local ( 0.22, 1.38, -0.64) Global ( 30.22, 31.38, 29.36) +TGeoTessellated 49 Local ( 0.22, 1.39, -0.51) Global ( 30.22, 31.39, 29.49) +TGeoTessellated 50 Local ( 0.35, 1.20, -0.61) Global ( 30.35, 31.20, 29.39) +TGeoTessellated 51 Local ( 0.34, 1.22, -0.48) Global ( 30.34, 31.22, 29.52) +TGeoTessellated 52 Local ( 0.27, 1.28, -0.17) Global ( 30.27, 31.28, 29.83) +TGeoTessellated 53 Local ( 0.28, 1.27, -0.02) Global ( 30.28, 31.27, 29.98) +TGeoTessellated 54 Local ( 0.33, 1.17, -0.15) Global ( 30.33, 31.17, 29.85) +TGeoTessellated 55 Local ( 0.33, 1.17, -0.01) Global ( 30.33, 31.17, 29.99) +TGeoTessellated 56 Local ( 0.00, 1.25, 0.80) Global ( 30.00, 31.25, 30.80) +TGeoTessellated 57 Local ( 0.00, 1.20, 0.84) Global ( 30.00, 31.20, 30.84) +TGeoTessellated 58 Local ( 0.09, 1.28, 0.80) Global ( 30.09, 31.28, 30.80) +TGeoTessellated 59 Local ( 0.12, 1.20, 0.87) Global ( 30.12, 31.20, 30.87) +TGeoTessellated 60 Local ( 0.20, 1.30, 0.68) Global ( 30.20, 31.30, 30.68) +TGeoTessellated 61 Local ( 0.19, 1.27, 0.79) Global ( 30.19, 31.27, 30.79) +TGeoTessellated 62 Local ( 0.28, 1.23, 0.67) Global ( 30.28, 31.23, 30.67) +TGeoTessellated 63 Local ( 0.23, 1.23, 0.79) Global ( 30.23, 31.23, 30.79) +TGeoTessellated 64 Local ( 0.26, 1.26, 0.14) Global ( 30.26, 31.26, 30.14) +TGeoTessellated 65 Local ( 0.23, 1.26, 0.33) Global ( 30.23, 31.26, 30.33) +TGeoTessellated 66 Local ( 0.32, 1.17, 0.16) Global ( 30.32, 31.17, 30.16) +TGeoTessellated 67 Local ( 0.28, 1.16, 0.31) Global ( 30.28, 31.16, 30.31) +TGeoTessellated 68 Local ( 0.42, 0.89, -0.28) Global ( 30.42, 30.89, 29.72) +TGeoTessellated 69 Local ( 0.41, 0.91, -0.36) Global ( 30.41, 30.91, 29.64) +TGeoTessellated 70 Local ( 0.40, 1.04, -0.29) Global ( 30.40, 31.04, 29.71) +TGeoTessellated 71 Local ( 0.41, 1.05, -0.46) Global ( 30.41, 31.05, 29.54) +TGeoTessellated 72 Local ( 0.37, 1.06, 0.17) Global ( 30.37, 31.06, 30.17) +TGeoTessellated 73 Local ( 0.39, 1.06, 0.01) Global ( 30.39, 31.06, 30.01) +TGeoTessellated 74 Local ( 0.00, 0.52, -0.88) Global ( 30.00, 30.52, 29.12) +TGeoTessellated 75 Local ( 0.07, 0.54, -0.88) Global ( 30.07, 30.54, 29.12) +TGeoTessellated 76 Local ( 0.23, 0.57, -0.37) Global ( 30.23, 30.57, 29.63) +TGeoTessellated 77 Local ( 0.35, 0.68, -0.36) Global ( 30.35, 30.68, 29.64) +TGeoTessellated 78 Local ( 0.31, 0.60, -0.26) Global ( 30.31, 30.60, 29.74) +TGeoTessellated 79 Local ( 0.39, 0.71, -0.26) Global ( 30.39, 30.71, 29.74) +TGeoTessellated 80 Local ( 0.32, 0.66, 0.22) Global ( 30.32, 30.66, 30.22) +TGeoTessellated 81 Local ( 0.34, 0.61, 0.01) Global ( 30.34, 30.61, 30.01) +TGeoTessellated 82 Local ( 0.09, 1.34, 0.54) Global ( 30.09, 31.34, 30.54) +TGeoTessellated 83 Local ( 0.00, 1.33, 0.53) Global ( 30.00, 31.33, 30.53) +TGeoTessellated 84 Local ( 0.08, 1.33, 0.67) Global ( 30.08, 31.33, 30.67) +TGeoTessellated 85 Local ( 0.04, 1.34, 0.67) Global ( 30.04, 31.34, 30.67) +TGeoTessellated 86 Local ( 0.00, 1.34, 0.68) Global ( 30.00, 31.34, 30.68) +TGeoTessellated 87 Local ( 0.28, 1.22, 0.52) Global ( 30.28, 31.22, 30.52) +TGeoTessellated 88 Local ( 0.21, 1.31, 0.51) Global ( 30.21, 31.31, 30.51) +TGeoTessellated 89 Local ( 0.00, 0.72, 0.58) Global ( 30.00, 30.72, 30.58) +TGeoTessellated 90 Local ( 0.00, 0.67, 0.47) Global ( 30.00, 30.67, 30.47) +TGeoTessellated 91 Local ( 0.01, 0.72, 0.58) Global ( 30.01, 30.72, 30.58) +TGeoTessellated 92 Local ( 0.04, 0.68, 0.46) Global ( 30.04, 30.68, 30.46) +TGeoTessellated 93 Local ( 0.24, 1.32, -0.34) Global ( 30.24, 31.32, 29.66) +TGeoTessellated 94 Local ( 0.13, 1.37, -0.07) Global ( 30.13, 31.37, 29.93) +TGeoTessellated 95 Local ( 0.08, 1.30, 0.78) Global ( 30.08, 31.30, 30.78) +TGeoTessellated 96 Local ( 0.22, 0.69, 0.34) Global ( 30.22, 30.69, 30.34) +TGeoTessellated 97 Local ( 0.11, 0.63, 0.36) Global ( 30.11, 30.63, 30.36) +TGeoTessellated 98 Local ( 0.33, 0.59, -0.15) Global ( 30.33, 30.59, 29.85) +TGeoTessellated 99 Local ( 0.17, 0.53, -0.17) Global ( 30.17, 30.53, 29.83) +TGeoTessellated 100 Local ( 0.19, 0.55, -0.80) Global ( 30.19, 30.55, 29.20) +TGeoTessellated 101 Local ( 0.13, 0.60, -0.87) Global ( 30.13, 30.60, 29.13) +TGeoTessellated 102 Local ( 0.00, 0.50, -0.18) Global ( 30.00, 30.50, 29.82) +TGeoTessellated 103 Local ( 0.12, 1.42, -0.20) Global ( 30.12, 31.42, 29.80) +TGeoTessellated 104 Local ( 0.00, 1.46, -0.21) Global ( 30.00, 31.46, 29.79) +TGeoTessellated 105 Local ( 0.32, 1.17, -0.32) Global ( 30.32, 31.17, 29.68) +TGeoTessellated 106 Local ( 0.39, 1.05, -0.12) Global ( 30.39, 31.05, 29.88) +TGeoTessellated 107 Local ( 0.00, 0.61, 0.36) Global ( 30.00, 30.61, 30.36) +TGeoTessellated 108 Local ( 0.00, 1.40, -0.09) Global ( 30.00, 31.40, 29.91) +TGeoTessellated 109 Local ( 0.33, 1.06, 0.32) Global ( 30.33, 31.06, 30.32) +TGeoTessellated 110 Local ( 0.30, 0.98, -0.87) Global ( 30.30, 30.98, 29.13) +TGeoTessellated 111 Local ( 0.38, 1.06, -0.75) Global ( 30.38, 31.06, 29.25) +TGeoTessellated 112 Local ( 0.42, 1.07, -0.60) Global ( 30.42, 31.07, 29.40) +TGeoTessellated 113 Local ( 0.12, 0.49, -0.44) Global ( 30.12, 30.49, 29.56) +TGeoTessellated 114 Local ( 0.00, 0.42, -0.43) Global ( 30.00, 30.42, 29.57) +TGeoTessellated 115 Local ( 0.25, 0.95, -1.09) Global ( 30.25, 30.95, 28.91) +TGeoTessellated 116 Local ( 0.26, 0.94, -0.95) Global ( 30.26, 30.94, 29.05) +TGeoTessellated 117 Local ( 0.24, 0.90, -1.10) Global ( 30.24, 30.90, 28.90) +TGeoTessellated 118 Local ( 0.26, 0.86, -0.97) Global ( 30.26, 30.86, 29.03) +TGeoTessellated 119 Local ( 0.07, 0.66, -1.24) Global ( 30.07, 30.66, 28.76) +TGeoTessellated 120 Local ( 0.04, 0.67, -1.24) Global ( 30.04, 30.67, 28.76) +TGeoTessellated 121 Local ( 0.07, 0.69, -1.25) Global ( 30.07, 30.69, 28.75) +TGeoTessellated 122 Local ( 0.04, 0.70, -1.24) Global ( 30.04, 30.70, 28.76) +TGeoTessellated 123 Local ( 0.15, 1.21, -1.28) Global ( 30.15, 31.21, 28.72) +TGeoTessellated 124 Local ( 0.09, 1.22, -1.29) Global ( 30.09, 31.22, 28.71) +TGeoTessellated 125 Local ( 0.15, 1.22, -1.18) Global ( 30.15, 31.22, 28.82) +TGeoTessellated 126 Local ( 0.08, 1.23, -1.18) Global ( 30.08, 31.23, 28.82) +TGeoTessellated 127 Local ( 0.07, 1.07, -1.45) Global ( 30.07, 31.07, 28.55) +TGeoTessellated 128 Local ( 0.08, 1.15, -1.41) Global ( 30.08, 31.15, 28.59) +TGeoTessellated 129 Local ( 0.12, 1.06, -1.43) Global ( 30.12, 31.06, 28.57) +TGeoTessellated 130 Local ( 0.14, 1.14, -1.39) Global ( 30.14, 31.14, 28.61) +TGeoTessellated 131 Local ( 0.02, 0.64, -1.59) Global ( 30.02, 30.64, 28.41) +TGeoTessellated 132 Local ( 0.05, 0.65, -1.59) Global ( 30.05, 30.65, 28.41) +TGeoTessellated 133 Local ( 0.02, 0.63, -1.57) Global ( 30.02, 30.63, 28.43) +TGeoTessellated 134 Local ( 0.04, 0.64, -1.57) Global ( 30.04, 30.64, 28.43) +TGeoTessellated 135 Local ( 0.14, 1.20, -1.08) Global ( 30.14, 31.20, 28.92) +TGeoTessellated 136 Local ( 0.06, 1.23, -1.08) Global ( 30.06, 31.23, 28.92) +TGeoTessellated 137 Local ( 0.16, 1.21, -1.01) Global ( 30.16, 31.21, 28.99) +TGeoTessellated 138 Local ( 0.06, 1.26, -1.01) Global ( 30.06, 31.26, 28.99) +TGeoTessellated 139 Local ( 0.05, 0.53, -1.37) Global ( 30.05, 30.53, 28.63) +TGeoTessellated 140 Local ( 0.02, 0.52, -1.37) Global ( 30.02, 30.52, 28.63) +TGeoTessellated 141 Local ( 0.04, 0.54, -1.39) Global ( 30.04, 30.54, 28.61) +TGeoTessellated 142 Local ( 0.01, 0.53, -1.40) Global ( 30.01, 30.53, 28.60) +TGeoTessellated 143 Local ( 0.28, 0.84, -0.92) Global ( 30.28, 30.84, 29.08) +TGeoTessellated 144 Local ( 0.23, 1.17, -1.18) Global ( 30.23, 31.17, 28.82) +TGeoTessellated 145 Local ( 0.26, 1.12, -1.18) Global ( 30.26, 31.12, 28.82) +TGeoTessellated 146 Local ( 0.23, 1.17, -1.27) Global ( 30.23, 31.17, 28.73) +TGeoTessellated 147 Local ( 0.25, 1.11, -1.23) Global ( 30.25, 31.11, 28.77) +TGeoTessellated 148 Local ( 0.10, 0.68, -1.56) Global ( 30.10, 30.68, 28.44) +TGeoTessellated 149 Local ( 0.09, 0.67, -1.56) Global ( 30.09, 30.67, 28.44) +TGeoTessellated 150 Local ( 0.08, 0.67, -1.58) Global ( 30.08, 30.67, 28.42) +TGeoTessellated 151 Local ( 0.07, 0.65, -1.56) Global ( 30.07, 30.65, 28.44) +TGeoTessellated 152 Local ( 0.21, 1.15, -1.09) Global ( 30.21, 31.15, 28.91) +TGeoTessellated 153 Local ( 0.19, 1.14, -1.02) Global ( 30.19, 31.14, 28.98) +TGeoTessellated 154 Local ( 0.24, 1.10, -1.11) Global ( 30.24, 31.10, 28.89) +TGeoTessellated 155 Local ( 0.23, 1.07, -1.04) Global ( 30.23, 31.07, 28.96) +TGeoTessellated 156 Local ( 0.08, 0.55, -1.32) Global ( 30.08, 30.55, 28.68) +TGeoTessellated 157 Local ( 0.08, 0.54, -1.35) Global ( 30.08, 30.54, 28.65) +TGeoTessellated 158 Local ( 0.10, 0.56, -1.34) Global ( 30.10, 30.56, 28.66) +TGeoTessellated 159 Local ( 0.07, 0.55, -1.38) Global ( 30.07, 30.55, 28.62) +TGeoTessellated 160 Local ( 0.06, 0.79, -1.55) Global ( 30.06, 30.79, 28.45) +TGeoTessellated 161 Local ( 0.03, 0.79, -1.57) Global ( 30.03, 30.79, 28.43) +TGeoTessellated 162 Local ( 0.08, 0.88, -1.49) Global ( 30.08, 30.88, 28.51) +TGeoTessellated 163 Local ( 0.04, 0.88, -1.53) Global ( 30.04, 30.88, 28.47) +TGeoTessellated 164 Local ( 0.09, 0.79, -1.51) Global ( 30.09, 30.79, 28.49) +TGeoTessellated 165 Local ( 0.12, 0.88, -1.45) Global ( 30.12, 30.88, 28.55) +TGeoTessellated 166 Local ( 0.11, 0.79, -1.46) Global ( 30.11, 30.79, 28.54) +TGeoTessellated 167 Local ( 0.15, 0.87, -1.40) Global ( 30.15, 30.87, 28.60) +TGeoTessellated 168 Local ( 0.16, 0.63, -1.28) Global ( 30.16, 30.63, 28.72) +TGeoTessellated 169 Local ( 0.20, 0.66, -1.21) Global ( 30.20, 30.66, 28.79) +TGeoTessellated 170 Local ( 0.16, 0.63, -1.24) Global ( 30.16, 30.63, 28.76) +TGeoTessellated 171 Local ( 0.13, 0.66, -1.12) Global ( 30.13, 30.66, 28.88) +TGeoTessellated 172 Local ( 0.08, 0.64, -1.09) Global ( 30.08, 30.64, 28.91) +TGeoTessellated 173 Local ( 0.09, 0.64, -1.00) Global ( 30.09, 30.64, 29.00) +TGeoTessellated 174 Local ( 0.04, 0.62, -1.07) Global ( 30.04, 30.62, 28.93) +TGeoTessellated 175 Local ( 0.05, 0.61, -0.98) Global ( 30.05, 30.61, 29.02) +TGeoTessellated 176 Local ( 0.22, 1.00, -1.26) Global ( 30.22, 31.00, 28.74) +TGeoTessellated 177 Local ( 0.24, 1.05, -1.24) Global ( 30.24, 31.05, 28.76) +TGeoTessellated 178 Local ( 0.23, 1.00, -1.20) Global ( 30.23, 31.00, 28.80) +TGeoTessellated 179 Local ( 0.24, 1.05, -1.19) Global ( 30.24, 31.05, 28.81) +TGeoTessellated 180 Local ( 0.19, 0.84, -1.29) Global ( 30.19, 30.84, 28.71) +TGeoTessellated 181 Local ( 0.20, 0.80, -1.23) Global ( 30.20, 30.80, 28.77) +TGeoTessellated 182 Local ( 0.16, 0.76, -1.36) Global ( 30.16, 30.76, 28.64) +TGeoTessellated 183 Local ( 0.18, 0.68, -1.33) Global ( 30.18, 30.68, 28.67) +TGeoTessellated 184 Local ( 0.13, 0.63, -1.44) Global ( 30.13, 30.63, 28.56) +TGeoTessellated 185 Local ( 0.12, 0.60, -1.44) Global ( 30.12, 30.60, 28.56) +TGeoTessellated 186 Local ( 0.13, 0.64, -1.49) Global ( 30.13, 30.64, 28.51) +TGeoTessellated 187 Local ( 0.12, 0.62, -1.50) Global ( 30.12, 30.62, 28.50) +TGeoTessellated 188 Local ( 0.05, 0.62, -1.29) Global ( 30.05, 30.62, 28.71) +TGeoTessellated 189 Local ( 0.03, 0.63, -1.31) Global ( 30.03, 30.63, 28.69) +TGeoTessellated 190 Local ( 0.12, 0.66, -1.32) Global ( 30.12, 30.66, 28.68) +TGeoTessellated 191 Local ( 0.14, 0.62, -1.33) Global ( 30.14, 30.62, 28.67) +TGeoTessellated 192 Local ( 0.12, 0.68, -1.28) Global ( 30.12, 30.68, 28.72) +TGeoTessellated 193 Local ( 0.14, 0.64, -1.31) Global ( 30.14, 30.64, 28.69) +TGeoTessellated 194 Local ( 0.07, 0.69, -1.28) Global ( 30.07, 30.69, 28.72) +TGeoTessellated 195 Local ( 0.04, 0.70, -1.27) Global ( 30.04, 30.70, 28.73) +TGeoTessellated 196 Local ( 0.07, 0.67, -1.33) Global ( 30.07, 30.67, 28.67) +TGeoTessellated 197 Local ( 0.04, 0.67, -1.33) Global ( 30.04, 30.67, 28.67) +TGeoTessellated 198 Local ( 0.10, 0.65, -1.26) Global ( 30.10, 30.65, 28.74) +TGeoTessellated 199 Local ( 0.10, 0.67, -1.26) Global ( 30.10, 30.67, 28.74) +TGeoTessellated 200 Local ( 0.13, 0.64, -1.29) Global ( 30.13, 30.64, 28.71) +TGeoTessellated 201 Local ( 0.13, 0.64, -1.30) Global ( 30.13, 30.64, 28.70) +TGeoTessellated 202 Local ( 0.08, 0.62, -1.29) Global ( 30.08, 30.62, 28.71) +TGeoTessellated 203 Local ( 0.20, 0.68, -1.28) Global ( 30.20, 30.68, 28.72) +TGeoTessellated 204 Local ( 0.22, 0.69, -1.24) Global ( 30.22, 30.69, 28.76) +TGeoTessellated 205 Local ( 0.14, 0.64, -1.30) Global ( 30.14, 30.64, 28.70) +TGeoTessellated 206 Local ( 0.14, 0.63, -1.29) Global ( 30.14, 30.63, 28.71) +TGeoTessellated 207 Local ( 0.09, 0.59, -1.50) Global ( 30.09, 30.59, 28.50) +TGeoTessellated 208 Local ( 0.09, 0.58, -1.45) Global ( 30.09, 30.58, 28.55) +TGeoTessellated 209 Local ( 0.02, 0.58, -1.50) Global ( 30.02, 30.58, 28.50) +TGeoTessellated 210 Local ( 0.06, 0.58, -1.50) Global ( 30.06, 30.58, 28.50) +TGeoTessellated 211 Local ( 0.03, 0.58, -1.47) Global ( 30.03, 30.58, 28.53) +TGeoTessellated 212 Local ( 0.06, 0.58, -1.46) Global ( 30.06, 30.58, 28.54) +TGeoTessellated 213 Local ( 0.01, 0.55, -1.40) Global ( 30.01, 30.55, 28.60) +TGeoTessellated 214 Local ( 0.04, 0.55, -1.39) Global ( 30.04, 30.55, 28.61) +TGeoTessellated 215 Local ( 0.07, 0.57, -1.38) Global ( 30.07, 30.57, 28.62) +TGeoTessellated 216 Local ( 0.09, 0.57, -1.37) Global ( 30.09, 30.57, 28.63) +TGeoTessellated 217 Local ( 0.10, 0.58, -1.35) Global ( 30.10, 30.58, 28.65) +TGeoTessellated 218 Local ( 0.08, 0.57, -1.29) Global ( 30.08, 30.57, 28.71) +TGeoTessellated 219 Local ( 0.11, 0.58, -1.32) Global ( 30.11, 30.58, 28.68) +TGeoTessellated 220 Local ( 0.02, 0.54, -1.32) Global ( 30.02, 30.54, 28.68) +TGeoTessellated 221 Local ( 0.06, 0.54, -1.32) Global ( 30.06, 30.54, 28.68) +TGeoTessellated 222 Local ( 0.03, 0.56, -1.28) Global ( 30.03, 30.56, 28.72) +TGeoTessellated 223 Local ( 0.06, 0.56, -1.28) Global ( 30.06, 30.56, 28.72) +TGeoTessellated 224 Local ( 0.02, 0.58, -1.36) Global ( 30.02, 30.58, 28.64) +TGeoTessellated 225 Local ( 0.04, 0.58, -1.35) Global ( 30.04, 30.58, 28.65) +TGeoTessellated 226 Local ( 0.07, 0.59, -1.34) Global ( 30.07, 30.59, 28.66) +TGeoTessellated 227 Local ( 0.11, 0.61, -1.33) Global ( 30.11, 30.61, 28.67) +TGeoTessellated 228 Local ( 0.13, 0.62, -1.30) Global ( 30.13, 30.62, 28.70) +TGeoTessellated 229 Local ( 0.14, 0.62, -1.27) Global ( 30.14, 30.62, 28.73) +TGeoTessellated 230 Local ( 0.11, 0.61, -1.21) Global ( 30.11, 30.61, 28.79) +TGeoTessellated 231 Local ( 0.07, 0.60, -1.20) Global ( 30.07, 30.60, 28.80) +TGeoTessellated 232 Local ( 0.03, 0.59, -1.19) Global ( 30.03, 30.59, 28.81) +TGeoTessellated 233 Local ( 0.15, 1.17, -1.34) Global ( 30.15, 31.17, 28.66) +TGeoTessellated 234 Local ( 0.09, 1.18, -1.35) Global ( 30.09, 31.18, 28.65) +TGeoTessellated 235 Local ( 0.18, 0.86, -1.35) Global ( 30.18, 30.86, 28.65) +TGeoTessellated 236 Local ( 0.13, 0.78, -1.41) Global ( 30.13, 30.78, 28.59) +TGeoTessellated 237 Local ( 0.11, 0.65, -1.54) Global ( 30.11, 30.65, 28.46) +TGeoTessellated 238 Local ( 0.11, 0.67, -1.53) Global ( 30.11, 30.67, 28.47) +TGeoTessellated 239 Local ( 0.09, 0.62, -1.54) Global ( 30.09, 30.62, 28.46) +TGeoTessellated 240 Local ( 0.06, 0.61, -1.55) Global ( 30.06, 30.61, 28.45) +TGeoTessellated 241 Local ( 0.02, 0.61, -1.55) Global ( 30.02, 30.61, 28.45) +TGeoTessellated 242 Local ( 0.05, 0.98, -1.49) Global ( 30.05, 30.98, 28.51) +TGeoTessellated 243 Local ( 0.05, 1.00, -1.48) Global ( 30.05, 31.00, 28.52) +TGeoTessellated 244 Local ( 0.12, 0.96, -1.46) Global ( 30.12, 30.96, 28.54) +TGeoTessellated 245 Local ( 0.11, 0.99, -1.46) Global ( 30.11, 30.99, 28.54) +TGeoTessellated 246 Local ( 0.24, 1.03, -0.98) Global ( 30.24, 31.03, 29.02) +TGeoTessellated 247 Local ( 0.19, 0.95, -1.37) Global ( 30.19, 30.95, 28.63) +TGeoTessellated 248 Local ( 0.18, 0.94, -1.38) Global ( 30.18, 30.94, 28.62) +TGeoTessellated 249 Local ( 0.16, 0.95, -1.39) Global ( 30.16, 30.95, 28.61) +TGeoTessellated 250 Local ( 0.15, 0.94, -1.41) Global ( 30.15, 30.94, 28.59) +TGeoTessellated 251 Local ( 0.19, 0.93, -1.30) Global ( 30.19, 30.93, 28.70) +TGeoTessellated 252 Local ( 0.20, 0.94, -1.28) Global ( 30.20, 30.94, 28.72) +TGeoTessellated 253 Local ( 0.22, 0.91, -1.22) Global ( 30.22, 30.91, 28.78) +TGeoTessellated 254 Local ( 0.22, 0.94, -1.21) Global ( 30.22, 30.94, 28.79) +TGeoTessellated 255 Local ( 0.20, 0.94, -1.33) Global ( 30.20, 30.94, 28.67) +TGeoTessellated 256 Local ( 0.21, 0.95, -1.33) Global ( 30.21, 30.95, 28.67) +TGeoTessellated 257 Local ( 0.02, 0.73, -1.61) Global ( 30.02, 30.73, 28.39) +TGeoTessellated 258 Local ( 0.05, 0.74, -1.60) Global ( 30.05, 30.74, 28.40) +TGeoTessellated 259 Local ( 0.09, 0.74, -1.56) Global ( 30.09, 30.74, 28.44) +TGeoTessellated 260 Local ( 0.11, 0.75, -1.52) Global ( 30.11, 30.75, 28.48) +TGeoTessellated 261 Local ( 0.14, 0.72, -1.43) Global ( 30.14, 30.72, 28.57) +TGeoTessellated 262 Local ( 0.12, 0.73, -1.48) Global ( 30.12, 30.73, 28.52) +TGeoTessellated 263 Local ( 0.15, 0.68, -1.38) Global ( 30.15, 30.68, 28.62) +TGeoTessellated 264 Local ( 0.16, 0.63, -1.33) Global ( 30.16, 30.63, 28.67) +TGeoTessellated 265 Local ( 0.15, 0.62, -1.33) Global ( 30.15, 30.62, 28.67) +TGeoTessellated 266 Local ( 0.16, 0.62, -1.36) Global ( 30.16, 30.62, 28.64) +TGeoTessellated 267 Local ( 0.14, 0.61, -1.36) Global ( 30.14, 30.61, 28.64) +TGeoTessellated 268 Local ( 0.04, 0.92, -1.50) Global ( 30.04, 30.92, 28.50) +TGeoTessellated 269 Local ( 0.05, 0.95, -1.49) Global ( 30.05, 30.95, 28.51) +TGeoTessellated 270 Local ( 0.10, 0.92, -1.48) Global ( 30.10, 30.92, 28.52) +TGeoTessellated 271 Local ( 0.11, 0.94, -1.46) Global ( 30.11, 30.94, 28.54) +TGeoTessellated 272 Local ( 0.13, 0.91, -1.43) Global ( 30.13, 30.91, 28.57) +TGeoTessellated 273 Local ( 0.14, 0.93, -1.42) Global ( 30.14, 30.93, 28.58) +TGeoTessellated 274 Local ( 0.16, 0.90, -1.39) Global ( 30.16, 30.90, 28.61) +TGeoTessellated 275 Local ( 0.15, 0.92, -1.40) Global ( 30.15, 30.92, 28.60) +TGeoTessellated 276 Local ( 0.19, 0.90, -1.31) Global ( 30.19, 30.90, 28.69) +TGeoTessellated 277 Local ( 0.22, 0.88, -1.22) Global ( 30.22, 30.88, 28.78) +TGeoTessellated 278 Local ( 0.26, 0.81, -0.98) Global ( 30.26, 30.81, 29.02) +TGeoTessellated 279 Local ( 0.24, 0.86, -1.12) Global ( 30.24, 30.86, 28.88) +TGeoTessellated 280 Local ( 0.26, 0.76, -0.91) Global ( 30.26, 30.76, 29.09) +TGeoTessellated 281 Local ( 0.18, 0.88, -1.35) Global ( 30.18, 30.88, 28.65) +TGeoTessellated 282 Local ( 0.25, 0.81, -1.15) Global ( 30.25, 30.81, 28.85) +TGeoTessellated 283 Local ( 0.24, 0.78, -1.03) Global ( 30.24, 30.78, 28.97) +TGeoTessellated 284 Local ( 0.20, 0.70, -0.97) Global ( 30.20, 30.70, 29.03) +TGeoTessellated 285 Local ( 0.02, 0.67, -1.61) Global ( 30.02, 30.67, 28.39) +TGeoTessellated 286 Local ( 0.02, 0.70, -1.62) Global ( 30.02, 30.70, 28.38) +TGeoTessellated 287 Local ( 0.05, 0.68, -1.61) Global ( 30.05, 30.68, 28.39) +TGeoTessellated 288 Local ( 0.05, 0.71, -1.61) Global ( 30.05, 30.71, 28.39) +TGeoTessellated 289 Local ( 0.08, 0.72, -1.58) Global ( 30.08, 30.72, 28.42) +TGeoTessellated 290 Local ( 0.11, 0.73, -1.54) Global ( 30.11, 30.73, 28.46) +TGeoTessellated 291 Local ( 0.08, 0.69, -1.59) Global ( 30.08, 30.69, 28.41) +TGeoTessellated 292 Local ( 0.11, 0.69, -1.56) Global ( 30.11, 30.69, 28.44) +TGeoTessellated 293 Local ( 0.13, 0.70, -1.45) Global ( 30.13, 30.70, 28.55) +TGeoTessellated 294 Local ( 0.13, 0.67, -1.47) Global ( 30.13, 30.67, 28.53) +TGeoTessellated 295 Local ( 0.12, 0.71, -1.50) Global ( 30.12, 30.71, 28.50) +TGeoTessellated 296 Local ( 0.12, 0.68, -1.51) Global ( 30.12, 30.68, 28.49) +TGeoTessellated 297 Local ( 0.13, 0.65, -1.44) Global ( 30.13, 30.65, 28.56) +TGeoTessellated 298 Local ( 0.14, 0.67, -1.41) Global ( 30.14, 30.67, 28.59) +TGeoTessellated 299 Local ( 0.14, 0.62, -1.41) Global ( 30.14, 30.62, 28.59) +TGeoTessellated 300 Local ( 0.13, 0.60, -1.41) Global ( 30.13, 30.60, 28.59) +TGeoTessellated 301 Local ( 0.12, 0.60, -1.41) Global ( 30.12, 30.60, 28.59) +TGeoTessellated 302 Local ( 0.10, 0.61, -1.41) Global ( 30.10, 30.61, 28.59) +TGeoTessellated 303 Local ( 0.03, 0.63, -1.42) Global ( 30.03, 30.63, 28.58) +TGeoTessellated 304 Local ( 0.07, 0.62, -1.42) Global ( 30.07, 30.62, 28.58) +TGeoTessellated 305 Local ( -0.00, 1.06, -1.46) Global ( 30.00, 31.06, 28.54) +TGeoTessellated 306 Local ( -0.00, 1.14, -1.40) Global ( 30.00, 31.14, 28.60) +TGeoTessellated 307 Local ( -0.00, 1.23, -1.17) Global ( 30.00, 31.23, 28.83) +TGeoTessellated 308 Local ( -0.00, 1.21, -1.29) Global ( 30.00, 31.21, 28.71) +TGeoTessellated 309 Local ( -0.00, 0.54, -1.31) Global ( 30.00, 30.54, 28.69) +TGeoTessellated 310 Local ( 0.00, 0.56, -1.28) Global ( 30.00, 30.56, 28.72) +TGeoTessellated 311 Local ( -0.00, 0.63, -1.57) Global ( 30.00, 30.63, 28.43) +TGeoTessellated 312 Local ( -0.00, 0.64, -1.60) Global ( 30.00, 30.64, 28.40) +TGeoTessellated 313 Local ( 0.00, 1.27, -1.01) Global ( 30.00, 31.27, 28.99) +TGeoTessellated 314 Local ( 0.00, 1.23, -1.09) Global ( 30.00, 31.23, 28.91) +TGeoTessellated 315 Local ( -0.00, 0.53, -1.40) Global ( 30.00, 30.53, 28.60) +TGeoTessellated 316 Local ( -0.00, 0.52, -1.37) Global ( 30.00, 30.52, 28.63) +TGeoTessellated 317 Local ( -0.00, 0.87, -1.54) Global ( 30.00, 30.87, 28.46) +TGeoTessellated 318 Local ( -0.00, 0.78, -1.58) Global ( 30.00, 30.78, 28.42) +TGeoTessellated 319 Local ( -0.00, 0.71, -1.27) Global ( 30.00, 30.71, 28.73) +TGeoTessellated 320 Local ( -0.00, 0.70, -1.23) Global ( 30.00, 30.70, 28.77) +TGeoTessellated 321 Local ( -0.00, 0.58, -1.51) Global ( 30.00, 30.58, 28.49) +TGeoTessellated 322 Local ( -0.00, 0.61, -1.55) Global ( 30.00, 30.61, 28.45) +TGeoTessellated 323 Local ( -0.00, 0.68, -1.23) Global ( 30.00, 30.68, 28.77) +TGeoTessellated 324 Local ( -0.00, 0.63, -1.31) Global ( 30.00, 30.63, 28.69) +TGeoTessellated 325 Local ( -0.00, 0.58, -1.48) Global ( 30.00, 30.58, 28.52) +TGeoTessellated 326 Local ( -0.00, 0.63, -1.42) Global ( 30.00, 30.63, 28.58) +TGeoTessellated 327 Local ( -0.00, 0.55, -1.40) Global ( 30.00, 30.55, 28.60) +TGeoTessellated 328 Local ( 0.00, 0.59, -1.19) Global ( 30.00, 30.59, 28.81) +TGeoTessellated 329 Local ( -0.00, 0.58, -1.37) Global ( 30.00, 30.58, 28.63) +TGeoTessellated 330 Local ( 0.00, 0.61, -1.06) Global ( 30.00, 30.61, 28.94) +TGeoTessellated 331 Local ( -0.00, 1.18, -1.35) Global ( 30.00, 31.18, 28.65) +TGeoTessellated 332 Local ( -0.00, 1.01, -1.49) Global ( 30.00, 31.01, 28.51) +TGeoTessellated 333 Local ( -0.00, 0.99, -1.49) Global ( 30.00, 30.99, 28.51) +TGeoTessellated 334 Local ( -0.00, 0.73, -1.62) Global ( 30.00, 30.73, 28.38) +TGeoTessellated 335 Local ( -0.00, 0.67, -1.34) Global ( 30.00, 30.67, 28.66) +TGeoTessellated 336 Local ( -0.00, 0.95, -1.49) Global ( 30.00, 30.95, 28.51) +TGeoTessellated 337 Local ( -0.00, 0.92, -1.51) Global ( 30.00, 30.92, 28.49) +TGeoTessellated 338 Local ( -0.00, 0.70, -1.62) Global ( 30.00, 30.70, 28.38) +TGeoTessellated 339 Local ( -0.00, 0.67, -1.62) Global ( 30.00, 30.67, 28.38) +TGeoTessellated 340 Local ( 0.00, 0.59, -0.99) Global ( 30.00, 30.59, 29.01) +TGeoTessellated 341 Local ( 0.16, 1.04, -1.39) Global ( 30.16, 31.04, 28.61) +TGeoTessellated 342 Local ( 0.18, 1.01, -1.35) Global ( 30.18, 31.01, 28.65) +TGeoTessellated 343 Local ( 0.20, 1.00, -1.31) Global ( 30.20, 31.00, 28.69) +TGeoTessellated 344 Local ( 0.24, 0.75, -1.17) Global ( 30.24, 30.75, 28.83) +TGeoTessellated 345 Local ( 0.23, 0.71, -1.12) Global ( 30.23, 30.71, 28.88) +TGeoTessellated 346 Local ( 0.17, 0.68, -1.04) Global ( 30.17, 30.68, 28.96) +TGeoTessellated 347 Local ( 0.11, 0.63, -0.93) Global ( 30.11, 30.63, 29.07) +TGeoTessellated 348 Local ( 0.05, 0.58, -0.92) Global ( 30.05, 30.58, 29.08) +TGeoTessellated 349 Local ( 0.00, 0.55, -0.93) Global ( 30.00, 30.55, 29.07) +TGeoTessellated 350 Local ( 0.15, 0.63, -1.31) Global ( 30.15, 30.63, 28.69) +TGeoTessellated 351 Local ( 0.16, 0.64, -1.29) Global ( 30.16, 30.64, 28.71) +TGeoTessellated 352 Local ( 0.16, 0.63, -1.30) Global ( 30.16, 30.63, 28.70) +TGeoTessellated 353 Local ( 0.19, 1.12, -1.37) Global ( 30.19, 31.12, 28.63) +TGeoTessellated 354 Local ( 0.21, 1.15, -1.32) Global ( 30.21, 31.15, 28.68) +TGeoTessellated 355 Local ( 0.16, 0.90, -1.38) Global ( 30.16, 30.90, 28.62) +TGeoTessellated 356 Local ( 0.14, 0.92, -1.39) Global ( 30.14, 30.92, 28.61) +TGeoTessellated 357 Local ( 0.17, 0.89, -1.35) Global ( 30.17, 30.89, 28.65) +TGeoTessellated 358 Local ( 0.18, 0.90, -1.32) Global ( 30.18, 30.90, 28.68) +TGeoTessellated 359 Local ( 0.18, 0.92, -1.31) Global ( 30.18, 30.92, 28.69) +TGeoTessellated 360 Local ( 0.18, 0.93, -1.34) Global ( 30.18, 30.93, 28.66) +TGeoTessellated 361 Local ( 0.17, 0.93, -1.37) Global ( 30.17, 30.93, 28.63) +TGeoTessellated 362 Local ( 0.13, 0.91, -1.35) Global ( 30.13, 30.91, 28.65) +TGeoTessellated 363 Local ( 0.13, 0.61, -1.36) Global ( 30.13, 30.61, 28.64) +TGeoTessellated 364 Local ( 0.26, 1.17, -1.43) Global ( 30.26, 31.17, 28.57) +TGeoTessellated 365 Local ( 0.26, 1.17, -1.43) Global ( 30.26, 31.17, 28.57) +TGeoTessellated 366 Local ( 0.25, 1.18, -1.45) Global ( 30.25, 31.18, 28.55) +TGeoTessellated 367 Local ( 0.26, 1.17, -1.43) Global ( 30.26, 31.17, 28.57) +TGeoTessellated 368 Local ( 0.26, 1.17, -1.44) Global ( 30.26, 31.17, 28.56) +TGeoTessellated 369 Local ( 0.27, 1.17, -1.44) Global ( 30.27, 31.17, 28.56) +TGeoTessellated 370 Local ( 0.27, 1.17, -1.44) Global ( 30.27, 31.17, 28.56) +TGeoTessellated 371 Local ( 0.27, 1.18, -1.44) Global ( 30.27, 31.18, 28.56) +TGeoTessellated 372 Local ( 0.27, 1.18, -1.44) Global ( 30.27, 31.18, 28.56) +TGeoTessellated 373 Local ( 0.26, 1.18, -1.43) Global ( 30.26, 31.18, 28.57) +TGeoTessellated 374 Local ( 0.26, 1.18, -1.43) Global ( 30.26, 31.18, 28.57) +TGeoTessellated 375 Local ( 0.28, 1.15, -1.36) Global ( 30.28, 31.15, 28.64) +TGeoTessellated 376 Local ( 0.28, 1.16, -1.38) Global ( 30.28, 31.16, 28.62) +TGeoTessellated 377 Local ( 0.28, 1.14, -1.36) Global ( 30.28, 31.14, 28.64) +TGeoTessellated 378 Local ( 0.28, 1.15, -1.38) Global ( 30.28, 31.15, 28.62) +TGeoTessellated 379 Local ( 0.28, 1.12, -1.37) Global ( 30.28, 31.12, 28.63) +TGeoTessellated 380 Local ( 0.28, 1.14, -1.39) Global ( 30.28, 31.14, 28.61) +TGeoTessellated 381 Local ( 0.29, 1.12, -1.38) Global ( 30.29, 31.12, 28.62) +TGeoTessellated 382 Local ( 0.29, 1.14, -1.40) Global ( 30.29, 31.14, 28.60) +TGeoTessellated 383 Local ( 0.30, 1.12, -1.38) Global ( 30.30, 31.12, 28.62) +TGeoTessellated 384 Local ( 0.29, 1.14, -1.41) Global ( 30.29, 31.14, 28.59) +TGeoTessellated 385 Local ( 0.31, 1.12, -1.38) Global ( 30.31, 31.12, 28.62) +TGeoTessellated 386 Local ( 0.30, 1.15, -1.41) Global ( 30.30, 31.15, 28.59) +TGeoTessellated 387 Local ( 0.32, 1.13, -1.38) Global ( 30.32, 31.13, 28.62) +TGeoTessellated 388 Local ( 0.30, 1.16, -1.41) Global ( 30.30, 31.16, 28.59) +TGeoTessellated 389 Local ( 0.32, 1.15, -1.37) Global ( 30.32, 31.15, 28.63) +TGeoTessellated 390 Local ( 0.30, 1.16, -1.40) Global ( 30.30, 31.16, 28.60) +TGeoTessellated 391 Local ( 0.31, 1.15, -1.36) Global ( 30.31, 31.15, 28.64) +TGeoTessellated 392 Local ( 0.30, 1.17, -1.39) Global ( 30.30, 31.17, 28.61) +TGeoTessellated 393 Local ( 0.30, 1.15, -1.36) Global ( 30.30, 31.15, 28.64) +TGeoTessellated 394 Local ( 0.29, 1.16, -1.39) Global ( 30.29, 31.16, 28.61) +TGeoTessellated 395 Local ( 0.28, 1.13, -1.33) Global ( 30.28, 31.13, 28.67) +TGeoTessellated 396 Local ( 0.27, 1.13, -1.34) Global ( 30.27, 31.13, 28.66) +TGeoTessellated 397 Local ( 0.27, 1.11, -1.35) Global ( 30.27, 31.11, 28.65) +TGeoTessellated 398 Local ( 0.27, 1.10, -1.36) Global ( 30.27, 31.10, 28.64) +TGeoTessellated 399 Local ( 0.29, 1.09, -1.36) Global ( 30.29, 31.09, 28.64) +TGeoTessellated 400 Local ( 0.30, 1.09, -1.35) Global ( 30.30, 31.09, 28.65) +TGeoTessellated 401 Local ( 0.31, 1.10, -1.34) Global ( 30.31, 31.10, 28.66) +TGeoTessellated 402 Local ( 0.32, 1.11, -1.33) Global ( 30.32, 31.11, 28.67) +TGeoTessellated 403 Local ( 0.31, 1.12, -1.33) Global ( 30.31, 31.12, 28.67) +TGeoTessellated 404 Local ( 0.29, 1.13, -1.33) Global ( 30.29, 31.13, 28.67) +TGeoTessellated 405 Local ( 0.26, 1.11, -1.29) Global ( 30.26, 31.11, 28.71) +TGeoTessellated 406 Local ( 0.27, 1.12, -1.31) Global ( 30.27, 31.12, 28.69) +TGeoTessellated 407 Local ( 0.24, 1.11, -1.31) Global ( 30.24, 31.11, 28.69) +TGeoTessellated 408 Local ( 0.25, 1.12, -1.32) Global ( 30.25, 31.12, 28.68) +TGeoTessellated 409 Local ( 0.23, 1.10, -1.32) Global ( 30.23, 31.10, 28.68) +TGeoTessellated 410 Local ( 0.25, 1.10, -1.34) Global ( 30.25, 31.10, 28.66) +TGeoTessellated 411 Local ( 0.23, 1.09, -1.33) Global ( 30.23, 31.09, 28.67) +TGeoTessellated 412 Local ( 0.25, 1.09, -1.34) Global ( 30.25, 31.09, 28.66) +TGeoTessellated 413 Local ( 0.23, 1.06, -1.33) Global ( 30.23, 31.06, 28.67) +TGeoTessellated 414 Local ( 0.27, 1.07, -1.35) Global ( 30.27, 31.07, 28.65) +TGeoTessellated 415 Local ( 0.24, 1.05, -1.32) Global ( 30.24, 31.05, 28.68) +TGeoTessellated 416 Local ( 0.29, 1.07, -1.34) Global ( 30.29, 31.07, 28.66) +TGeoTessellated 417 Local ( 0.25, 1.05, -1.30) Global ( 30.25, 31.05, 28.70) +TGeoTessellated 418 Local ( 0.30, 1.08, -1.33) Global ( 30.30, 31.08, 28.67) +TGeoTessellated 419 Local ( 0.27, 1.06, -1.29) Global ( 30.27, 31.06, 28.71) +TGeoTessellated 420 Local ( 0.31, 1.09, -1.32) Global ( 30.31, 31.09, 28.68) +TGeoTessellated 421 Local ( 0.27, 1.08, -1.28) Global ( 30.27, 31.08, 28.72) +TGeoTessellated 422 Local ( 0.30, 1.10, -1.31) Global ( 30.30, 31.10, 28.69) +TGeoTessellated 423 Local ( 0.27, 1.10, -1.28) Global ( 30.27, 31.10, 28.72) +TGeoTessellated 424 Local ( 0.29, 1.12, -1.30) Global ( 30.29, 31.12, 28.70) +TGeoTessellated 425 Local ( 0.25, 1.10, -1.26) Global ( 30.25, 31.10, 28.74) +TGeoTessellated 426 Local ( 0.24, 1.12, -1.28) Global ( 30.24, 31.12, 28.72) +TGeoTessellated 427 Local ( 0.22, 1.11, -1.31) Global ( 30.22, 31.11, 28.69) +TGeoTessellated 428 Local ( 0.21, 1.10, -1.33) Global ( 30.21, 31.10, 28.67) +TGeoTessellated 429 Local ( 0.20, 1.07, -1.33) Global ( 30.20, 31.07, 28.67) +TGeoTessellated 430 Local ( 0.21, 1.04, -1.32) Global ( 30.21, 31.04, 28.68) +TGeoTessellated 431 Local ( 0.22, 1.03, -1.30) Global ( 30.22, 31.03, 28.70) +TGeoTessellated 432 Local ( 0.23, 1.03, -1.27) Global ( 30.23, 31.03, 28.73) +TGeoTessellated 433 Local ( 0.24, 1.05, -1.26) Global ( 30.24, 31.05, 28.74) +TGeoTessellated 434 Local ( 0.25, 1.08, -1.25) Global ( 30.25, 31.08, 28.75) +TGeoTessellated 435 Local ( 0.37, 1.08, -1.13) Global ( 30.37, 31.08, 28.87) +TGeoTessellated 436 Local ( 0.36, 1.06, -1.16) Global ( 30.36, 31.06, 28.84) +TGeoTessellated 437 Local ( 0.36, 1.09, -1.13) Global ( 30.36, 31.09, 28.87) +TGeoTessellated 438 Local ( 0.34, 1.07, -1.16) Global ( 30.34, 31.07, 28.84) +TGeoTessellated 439 Local ( 0.31, 1.01, -1.18) Global ( 30.31, 31.01, 28.82) +TGeoTessellated 440 Local ( 0.29, 0.99, -1.18) Global ( 30.29, 30.99, 28.82) +TGeoTessellated 441 Local ( 0.28, 1.03, -1.19) Global ( 30.28, 31.03, 28.81) +TGeoTessellated 442 Local ( 0.27, 1.02, -1.18) Global ( 30.27, 31.02, 28.82) +TGeoTessellated 443 Local ( 0.31, 1.06, -1.14) Global ( 30.31, 31.06, 28.86) +TGeoTessellated 444 Local ( 0.29, 1.03, -1.14) Global ( 30.29, 31.03, 28.86) +TGeoTessellated 445 Local ( 0.31, 1.06, -1.16) Global ( 30.31, 31.06, 28.84) +TGeoTessellated 446 Local ( 0.29, 1.03, -1.17) Global ( 30.29, 31.03, 28.83) +TGeoTessellated 447 Local ( 0.25, 1.02, -1.11) Global ( 30.25, 31.02, 28.89) +TGeoTessellated 448 Local ( 0.27, 1.00, -1.09) Global ( 30.27, 31.00, 28.91) +TGeoTessellated 449 Local ( 0.26, 1.03, -1.10) Global ( 30.26, 31.03, 28.90) +TGeoTessellated 450 Local ( 0.28, 1.01, -1.09) Global ( 30.28, 31.01, 28.91) +TGeoTessellated 451 Local ( 0.26, 1.04, -1.17) Global ( 30.26, 31.04, 28.83) +TGeoTessellated 452 Local ( 0.25, 1.03, -1.17) Global ( 30.25, 31.03, 28.83) +TGeoTessellated 453 Local ( 0.25, 1.05, -1.15) Global ( 30.25, 31.05, 28.85) +TGeoTessellated 454 Local ( 0.24, 1.04, -1.15) Global ( 30.24, 31.04, 28.85) +TGeoTessellated 455 Local ( 0.31, 1.07, -1.16) Global ( 30.31, 31.07, 28.84) +TGeoTessellated 456 Local ( 0.31, 1.08, -1.14) Global ( 30.31, 31.08, 28.86) +TGeoTessellated 457 Local ( 0.24, 1.04, -1.13) Global ( 30.24, 31.04, 28.87) +TGeoTessellated 458 Local ( 0.25, 1.04, -1.13) Global ( 30.25, 31.04, 28.87) +TGeoTessellated 459 Local ( 0.27, 1.00, -1.16) Global ( 30.27, 31.00, 28.84) +TGeoTessellated 460 Local ( 0.26, 1.00, -1.15) Global ( 30.26, 31.00, 28.85) +TGeoTessellated 461 Local ( 0.36, 1.08, -1.13) Global ( 30.36, 31.08, 28.87) +TGeoTessellated 462 Local ( 0.36, 1.06, -1.16) Global ( 30.36, 31.06, 28.84) +TGeoTessellated 463 Local ( 0.28, 0.99, -1.17) Global ( 30.28, 30.99, 28.83) +TGeoTessellated 464 Local ( 0.31, 1.01, -1.18) Global ( 30.31, 31.01, 28.82) +TGeoTessellated 465 Local ( 0.29, 1.02, -1.10) Global ( 30.29, 31.02, 28.90) +TGeoTessellated 466 Local ( 0.27, 1.00, -1.11) Global ( 30.27, 31.00, 28.89) +TGeoTessellated 467 Local ( 0.26, 1.00, -1.12) Global ( 30.26, 31.00, 28.88) +TGeoTessellated 468 Local ( 0.29, 1.03, -1.11) Global ( 30.29, 31.03, 28.89) +TGeoTessellated 469 Local ( 0.31, 1.06, -1.11) Global ( 30.31, 31.06, 28.89) +TGeoTessellated 470 Local ( 0.35, 1.07, -1.10) Global ( 30.35, 31.07, 28.90) +TGeoTessellated 471 Local ( 0.35, 1.07, -1.11) Global ( 30.35, 31.07, 28.89) +TGeoTessellated 472 Local ( 0.33, 1.08, -1.11) Global ( 30.33, 31.08, 28.89) +TGeoTessellated 473 Local ( 0.30, 1.07, -1.12) Global ( 30.30, 31.07, 28.88) +TGeoTessellated 474 Local ( 0.31, 1.04, -1.09) Global ( 30.31, 31.04, 28.91) +TGeoTessellated 475 Local ( 0.31, 1.04, -1.09) Global ( 30.31, 31.04, 28.91) +TGeoTessellated 476 Local ( 0.35, 1.08, -1.13) Global ( 30.35, 31.08, 28.87) +TGeoTessellated 477 Local ( 0.34, 1.07, -1.12) Global ( 30.34, 31.07, 28.88) +TGeoTessellated 478 Local ( 0.34, 1.07, -1.15) Global ( 30.34, 31.07, 28.85) +TGeoTessellated 479 Local ( 0.33, 1.03, -1.18) Global ( 30.33, 31.03, 28.82) +TGeoTessellated 480 Local ( 0.33, 1.04, -1.17) Global ( 30.33, 31.04, 28.83) +TGeoTessellated 481 Local ( 0.30, 1.05, -1.18) Global ( 30.30, 31.05, 28.82) +TGeoTessellated 482 Local ( 0.27, 1.05, -1.17) Global ( 30.27, 31.05, 28.83) +TGeoTessellated 483 Local ( 0.26, 1.06, -1.15) Global ( 30.26, 31.06, 28.85) +TGeoTessellated 484 Local ( 0.26, 1.06, -1.12) Global ( 30.26, 31.06, 28.88) +TGeoTessellated 485 Local ( 0.29, 1.05, -1.10) Global ( 30.29, 31.05, 28.90) +TGeoTessellated 486 Local ( 0.25, 0.98, -1.17) Global ( 30.25, 30.98, 28.83) +TGeoTessellated 487 Local ( 0.26, 0.98, -1.17) Global ( 30.26, 30.98, 28.83) +TGeoTessellated 488 Local ( 0.25, 0.99, -1.12) Global ( 30.25, 30.99, 28.88) +TGeoTessellated 489 Local ( 0.26, 0.99, -1.12) Global ( 30.26, 30.99, 28.88) +TGeoTessellated 490 Local ( 0.24, 1.00, -1.13) Global ( 30.24, 31.00, 28.87) +TGeoTessellated 491 Local ( 0.25, 0.98, -1.15) Global ( 30.25, 30.98, 28.85) +TGeoTessellated 492 Local ( 0.26, 0.98, -1.15) Global ( 30.26, 30.98, 28.85) +TGeoTessellated 493 Local ( 0.24, 1.00, -1.17) Global ( 30.24, 31.00, 28.83) +TGeoTessellated 494 Local ( 0.24, 1.01, -1.17) Global ( 30.24, 31.01, 28.83) +TGeoTessellated 495 Local ( 0.23, 1.02, -1.14) Global ( 30.23, 31.02, 28.86) +TGeoTessellated 496 Local ( 0.23, 1.02, -1.16) Global ( 30.23, 31.02, 28.84) +TGeoTessellated 497 Local ( 0.25, 1.08, -1.19) Global ( 30.25, 31.08, 28.81) +TGeoTessellated 498 Local ( 0.24, 1.08, -1.23) Global ( 30.24, 31.08, 28.77) +TGeoTessellated 499 Local ( 0.25, 0.99, -1.07) Global ( 30.25, 30.99, 28.93) +TGeoTessellated 500 Local ( 0.25, 1.02, -1.08) Global ( 30.25, 31.02, 28.92) +TGeoTessellated 501 Local ( 0.25, 1.07, -1.12) Global ( 30.25, 31.07, 28.88) +TGeoTessellated 502 Local ( 0.25, 1.05, -1.15) Global ( 30.25, 31.05, 28.85) +TGeoTessellated 503 Local ( 0.26, 0.39, 0.64) Global ( 30.26, 30.39, 30.64) +TGeoTessellated 504 Local ( 0.27, 0.39, 0.61) Global ( 30.27, 30.39, 30.61) +TGeoTessellated 505 Local ( 0.29, 0.49, 0.64) Global ( 30.29, 30.49, 30.64) +TGeoTessellated 506 Local ( 0.30, 0.49, 0.59) Global ( 30.30, 30.49, 30.59) +TGeoTessellated 507 Local ( 0.18, 0.41, 0.73) Global ( 30.18, 30.41, 30.73) +TGeoTessellated 508 Local ( 0.20, 0.41, 0.75) Global ( 30.20, 30.41, 30.75) +TGeoTessellated 509 Local ( 0.17, 0.47, 0.72) Global ( 30.17, 30.47, 30.72) +TGeoTessellated 510 Local ( 0.21, 0.47, 0.72) Global ( 30.21, 30.47, 30.72) +TGeoTessellated 511 Local ( 0.16, 0.40, 0.69) Global ( 30.16, 30.40, 30.69) +TGeoTessellated 512 Local ( 0.13, 0.48, 0.69) Global ( 30.13, 30.48, 30.69) +TGeoTessellated 513 Local ( 0.17, 0.39, 0.58) Global ( 30.17, 30.39, 30.58) +TGeoTessellated 514 Local ( 0.14, 0.40, 0.62) Global ( 30.14, 30.40, 30.62) +TGeoTessellated 515 Local ( 0.15, 0.49, 0.56) Global ( 30.15, 30.49, 30.56) +TGeoTessellated 516 Local ( 0.12, 0.49, 0.61) Global ( 30.12, 30.49, 30.61) +TGeoTessellated 517 Local ( 0.26, 0.49, 0.54) Global ( 30.26, 30.49, 30.54) +TGeoTessellated 518 Local ( 0.24, 0.39, 0.58) Global ( 30.24, 30.39, 30.58) +TGeoTessellated 519 Local ( 0.20, 0.47, 0.53) Global ( 30.20, 30.47, 30.53) +TGeoTessellated 520 Local ( 0.21, 0.39, 0.56) Global ( 30.21, 30.39, 30.56) +TGeoTessellated 521 Local ( 0.39, 0.91, 0.57) Global ( 30.39, 30.91, 30.57) +TGeoTessellated 522 Local ( 0.38, 0.85, 0.48) Global ( 30.38, 30.85, 30.48) +TGeoTessellated 523 Local ( 0.34, 1.09, 0.54) Global ( 30.34, 31.09, 30.54) +TGeoTessellated 524 Local ( 0.35, 0.97, 0.44) Global ( 30.35, 30.97, 30.44) +TGeoTessellated 525 Local ( 0.19, 0.81, 0.84) Global ( 30.19, 30.81, 30.84) +TGeoTessellated 526 Local ( 0.26, 0.86, 0.83) Global ( 30.26, 30.86, 30.83) +TGeoTessellated 527 Local ( 0.17, 0.93, 0.88) Global ( 30.17, 30.93, 30.88) +TGeoTessellated 528 Local ( 0.25, 1.03, 0.84) Global ( 30.25, 31.03, 30.84) +TGeoTessellated 529 Local ( 0.09, 0.73, 0.77) Global ( 30.09, 30.73, 30.77) +TGeoTessellated 530 Local ( 0.09, 0.77, 0.78) Global ( 30.09, 30.77, 30.78) +TGeoTessellated 531 Local ( 0.09, 0.70, 0.48) Global ( 30.09, 30.70, 30.48) +TGeoTessellated 532 Local ( 0.10, 0.69, 0.49) Global ( 30.10, 30.69, 30.49) +TGeoTessellated 533 Local ( 0.03, 0.71, 0.58) Global ( 30.03, 30.71, 30.58) +TGeoTessellated 534 Local ( 0.05, 0.69, 0.58) Global ( 30.05, 30.69, 30.58) +TGeoTessellated 535 Local ( 0.32, 0.83, 0.40) Global ( 30.32, 30.83, 30.40) +TGeoTessellated 536 Local ( 0.31, 0.74, 0.43) Global ( 30.31, 30.74, 30.43) +TGeoTessellated 537 Local ( 0.19, 0.71, 0.39) Global ( 30.19, 30.71, 30.39) +TGeoTessellated 538 Local ( 0.19, 0.68, 0.41) Global ( 30.19, 30.68, 30.41) +TGeoTessellated 539 Local ( 0.34, 0.67, 0.53) Global ( 30.34, 30.67, 30.53) +TGeoTessellated 540 Local ( 0.35, 0.68, 0.61) Global ( 30.35, 30.68, 30.61) +TGeoTessellated 541 Local ( 0.23, 0.67, 0.78) Global ( 30.23, 30.67, 30.78) +TGeoTessellated 542 Local ( 0.17, 0.66, 0.77) Global ( 30.17, 30.66, 30.77) +TGeoTessellated 543 Local ( 0.10, 0.65, 0.74) Global ( 30.10, 30.65, 30.74) +TGeoTessellated 544 Local ( 0.07, 0.64, 0.59) Global ( 30.07, 30.64, 30.59) +TGeoTessellated 545 Local ( 0.12, 0.65, 0.51) Global ( 30.12, 30.65, 30.51) +TGeoTessellated 546 Local ( 0.29, 0.65, 0.47) Global ( 30.29, 30.65, 30.47) +TGeoTessellated 547 Local ( 0.20, 0.61, 0.45) Global ( 30.20, 30.61, 30.45) +TGeoTessellated 548 Local ( 0.26, 0.33, 0.65) Global ( 30.26, 30.33, 30.65) +TGeoTessellated 549 Local ( 0.27, 0.33, 0.62) Global ( 30.27, 30.33, 30.62) +TGeoTessellated 550 Local ( 0.18, 0.33, 0.71) Global ( 30.18, 30.33, 30.71) +TGeoTessellated 551 Local ( 0.20, 0.34, 0.73) Global ( 30.20, 30.34, 30.73) +TGeoTessellated 552 Local ( 0.16, 0.33, 0.68) Global ( 30.16, 30.33, 30.68) +TGeoTessellated 553 Local ( 0.18, 0.33, 0.58) Global ( 30.18, 30.33, 30.58) +TGeoTessellated 554 Local ( 0.15, 0.33, 0.61) Global ( 30.15, 30.33, 30.61) +TGeoTessellated 555 Local ( 0.25, 0.32, 0.59) Global ( 30.25, 30.32, 30.59) +TGeoTessellated 556 Local ( 0.21, 0.33, 0.58) Global ( 30.21, 30.33, 30.58) +TGeoTessellated 557 Local ( 0.28, 0.16, 0.56) Global ( 30.28, 30.16, 30.56) +TGeoTessellated 558 Local ( 0.28, 0.16, 0.59) Global ( 30.28, 30.16, 30.59) +TGeoTessellated 559 Local ( 0.19, 0.15, 0.65) Global ( 30.19, 30.15, 30.65) +TGeoTessellated 560 Local ( 0.21, 0.15, 0.67) Global ( 30.21, 30.15, 30.67) +TGeoTessellated 561 Local ( 0.17, 0.16, 0.62) Global ( 30.17, 30.16, 30.62) +TGeoTessellated 562 Local ( 0.21, 0.17, 0.53) Global ( 30.21, 30.17, 30.53) +TGeoTessellated 563 Local ( 0.18, 0.16, 0.55) Global ( 30.18, 30.16, 30.55) +TGeoTessellated 564 Local ( 0.25, 0.17, 0.54) Global ( 30.25, 30.17, 30.54) +TGeoTessellated 565 Local ( 0.23, 0.17, 0.54) Global ( 30.23, 30.17, 30.54) +TGeoTessellated 566 Local ( 0.23, 0.33, 0.71) Global ( 30.23, 30.33, 30.71) +TGeoTessellated 567 Local ( 0.23, 0.15, 0.66) Global ( 30.23, 30.15, 30.66) +TGeoTessellated 568 Local ( 0.25, 0.33, 0.68) Global ( 30.25, 30.33, 30.68) +TGeoTessellated 569 Local ( 0.27, 0.16, 0.63) Global ( 30.27, 30.16, 30.63) +TGeoTessellated 570 Local ( 0.24, 0.40, 0.72) Global ( 30.24, 30.40, 30.72) +TGeoTessellated 571 Local ( 0.25, 0.40, 0.68) Global ( 30.25, 30.40, 30.68) +TGeoTessellated 572 Local ( 0.25, 0.48, 0.70) Global ( 30.25, 30.48, 30.70) +TGeoTessellated 573 Local ( 0.27, 0.48, 0.68) Global ( 30.27, 30.48, 30.68) +TGeoTessellated 574 Local ( 0.31, 0.90, 0.79) Global ( 30.31, 30.90, 30.79) +TGeoTessellated 575 Local ( 0.28, 0.68, 0.76) Global ( 30.28, 30.68, 30.76) +TGeoTessellated 576 Local ( 0.36, 0.93, 0.69) Global ( 30.36, 30.93, 30.69) +TGeoTessellated 577 Local ( 0.31, 0.69, 0.69) Global ( 30.31, 30.69, 30.69) +TGeoTessellated 578 Local ( 0.32, 1.09, 0.76) Global ( 30.32, 31.09, 30.76) +TGeoTessellated 579 Local ( 0.34, 1.11, 0.68) Global ( 30.34, 31.11, 30.68) +TGeoTessellated 580 Local ( 0.32, -0.00, 0.49) Global ( 30.32, 30.00, 30.49) +TGeoTessellated 581 Local ( 0.31, 0.05, 0.50) Global ( 30.31, 30.05, 30.50) +TGeoTessellated 582 Local ( 0.32, -0.00, 0.53) Global ( 30.32, 30.00, 30.53) +TGeoTessellated 583 Local ( 0.31, 0.04, 0.54) Global ( 30.31, 30.04, 30.54) +TGeoTessellated 584 Local ( 0.19, 0.03, 0.61) Global ( 30.19, 30.03, 30.61) +TGeoTessellated 585 Local ( 0.19, -0.00, 0.61) Global ( 30.19, 30.00, 30.61) +TGeoTessellated 586 Local ( 0.22, 0.03, 0.62) Global ( 30.22, 30.03, 30.62) +TGeoTessellated 587 Local ( 0.22, -0.00, 0.61) Global ( 30.22, 30.00, 30.61) +TGeoTessellated 588 Local ( 0.15, -0.00, 0.56) Global ( 30.15, 30.00, 30.56) +TGeoTessellated 589 Local ( 0.16, 0.04, 0.56) Global ( 30.16, 30.04, 30.56) +TGeoTessellated 590 Local ( 0.22, -0.00, 0.44) Global ( 30.22, 30.00, 30.44) +TGeoTessellated 591 Local ( 0.17, -0.00, 0.46) Global ( 30.17, 30.00, 30.46) +TGeoTessellated 592 Local ( 0.22, 0.05, 0.46) Global ( 30.22, 30.05, 30.46) +TGeoTessellated 593 Local ( 0.17, 0.05, 0.48) Global ( 30.17, 30.05, 30.48) +TGeoTessellated 594 Local ( 0.27, -0.00, 0.45) Global ( 30.27, 30.00, 30.45) +TGeoTessellated 595 Local ( 0.24, -0.00, 0.47) Global ( 30.24, 30.00, 30.47) +TGeoTessellated 596 Local ( 0.26, 0.05, 0.47) Global ( 30.26, 30.05, 30.47) +TGeoTessellated 597 Local ( 0.24, 0.05, 0.47) Global ( 30.24, 30.05, 30.47) +TGeoTessellated 598 Local ( 0.31, -0.00, 0.57) Global ( 30.31, 30.00, 30.57) +TGeoTessellated 599 Local ( 0.31, 0.04, 0.58) Global ( 30.31, 30.04, 30.58) +TGeoTessellated 600 Local ( 0.25, -0.00, 0.62) Global ( 30.25, 30.00, 30.62) +TGeoTessellated 601 Local ( 0.25, 0.04, 0.62) Global ( 30.25, 30.04, 30.62) +TGeoTessellated 602 Local ( 0.29, 0.09, 0.52) Global ( 30.29, 30.09, 30.52) +TGeoTessellated 603 Local ( 0.29, 0.08, 0.57) Global ( 30.29, 30.08, 30.57) +TGeoTessellated 604 Local ( 0.19, 0.08, 0.65) Global ( 30.19, 30.08, 30.65) +TGeoTessellated 605 Local ( 0.21, 0.08, 0.65) Global ( 30.21, 30.08, 30.65) +TGeoTessellated 606 Local ( 0.16, 0.08, 0.59) Global ( 30.16, 30.08, 30.59) +TGeoTessellated 607 Local ( 0.22, 0.09, 0.49) Global ( 30.22, 30.09, 30.49) +TGeoTessellated 608 Local ( 0.18, 0.09, 0.51) Global ( 30.18, 30.09, 30.51) +TGeoTessellated 609 Local ( 0.25, 0.09, 0.49) Global ( 30.25, 30.09, 30.49) +TGeoTessellated 610 Local ( 0.24, 0.09, 0.50) Global ( 30.24, 30.09, 30.50) +TGeoTessellated 611 Local ( 0.29, 0.08, 0.61) Global ( 30.29, 30.08, 30.61) +TGeoTessellated 612 Local ( 0.24, 0.08, 0.65) Global ( 30.24, 30.08, 30.65) +TGeoTessellated 613 Local ( 0.28, 0.12, 0.55) Global ( 30.28, 30.12, 30.55) +TGeoTessellated 614 Local ( 0.28, 0.11, 0.58) Global ( 30.28, 30.11, 30.58) +TGeoTessellated 615 Local ( 0.19, 0.10, 0.66) Global ( 30.19, 30.10, 30.66) +TGeoTessellated 616 Local ( 0.21, 0.10, 0.68) Global ( 30.21, 30.10, 30.68) +TGeoTessellated 617 Local ( 0.16, 0.11, 0.60) Global ( 30.16, 30.11, 30.60) +TGeoTessellated 618 Local ( 0.21, 0.13, 0.52) Global ( 30.21, 30.13, 30.52) +TGeoTessellated 619 Local ( 0.18, 0.12, 0.53) Global ( 30.18, 30.12, 30.53) +TGeoTessellated 620 Local ( 0.25, 0.13, 0.52) Global ( 30.25, 30.13, 30.52) +TGeoTessellated 621 Local ( 0.23, 0.13, 0.52) Global ( 30.23, 30.13, 30.52) +TGeoTessellated 622 Local ( 0.28, 0.11, 0.62) Global ( 30.28, 30.11, 30.62) +TGeoTessellated 623 Local ( 0.23, 0.10, 0.66) Global ( 30.23, 30.10, 30.66) +TGeoTessellated 624 Local ( 0.05, 0.70, 0.68) Global ( 30.05, 30.70, 30.68) +TGeoTessellated 625 Local ( 0.04, 0.73, 0.69) Global ( 30.04, 30.73, 30.69) +TGeoTessellated 626 Local ( 0.07, 0.65, 0.67) Global ( 30.07, 30.65, 30.67) +TGeoTessellated 627 Local ( 0.14, 0.40, 0.65) Global ( 30.14, 30.40, 30.65) +TGeoTessellated 628 Local ( 0.12, 0.49, 0.65) Global ( 30.12, 30.49, 30.65) +TGeoTessellated 629 Local ( 0.14, 0.33, 0.65) Global ( 30.14, 30.33, 30.65) +TGeoTessellated 630 Local ( 0.17, 0.16, 0.59) Global ( 30.17, 30.16, 30.59) +TGeoTessellated 631 Local ( 0.17, 0.12, 0.57) Global ( 30.17, 30.12, 30.57) +TGeoTessellated 632 Local ( 0.16, 0.08, 0.55) Global ( 30.16, 30.08, 30.55) +TGeoTessellated 633 Local ( 0.15, 0.05, 0.52) Global ( 30.15, 30.05, 30.52) +TGeoTessellated 634 Local ( 0.15, -0.00, 0.50) Global ( 30.15, 30.00, 30.50) +TGeoTessellated 635 Local ( 0.26, 0.55, 0.71) Global ( 30.26, 30.55, 30.71) +TGeoTessellated 636 Local ( 0.29, 0.56, 0.68) Global ( 30.29, 30.56, 30.68) +TGeoTessellated 637 Local ( 0.17, 0.54, 0.72) Global ( 30.17, 30.54, 30.72) +TGeoTessellated 638 Local ( 0.22, 0.54, 0.73) Global ( 30.22, 30.54, 30.73) +TGeoTessellated 639 Local ( 0.11, 0.56, 0.71) Global ( 30.11, 30.56, 30.71) +TGeoTessellated 640 Local ( 0.13, 0.56, 0.54) Global ( 30.13, 30.56, 30.54) +TGeoTessellated 641 Local ( 0.10, 0.56, 0.60) Global ( 30.10, 30.56, 30.60) +TGeoTessellated 642 Local ( 0.27, 0.56, 0.51) Global ( 30.27, 30.56, 30.51) +TGeoTessellated 643 Local ( 0.20, 0.53, 0.49) Global ( 30.20, 30.53, 30.49) +TGeoTessellated 644 Local ( 0.32, 0.57, 0.56) Global ( 30.32, 30.57, 30.56) +TGeoTessellated 645 Local ( 0.31, 0.56, 0.63) Global ( 30.31, 30.56, 30.63) +TGeoTessellated 646 Local ( 0.10, 0.56, 0.66) Global ( 30.10, 30.56, 30.66) +TGeoTessellated 647 Local ( 0.31, 1.16, 0.53) Global ( 30.31, 31.16, 30.53) +TGeoTessellated 648 Local ( 0.32, 1.18, 0.67) Global ( 30.32, 31.18, 30.67) +TGeoTessellated 649 Local ( 0.33, 1.01, 0.40) Global ( 30.33, 31.01, 30.40) +TGeoTessellated 650 Local ( 0.28, 1.16, 0.78) Global ( 30.28, 31.16, 30.78) +TGeoTessellated 651 Local ( 0.20, 1.13, 0.85) Global ( 30.20, 31.13, 30.85) +TGeoTessellated 652 Local ( 0.30, 0.82, 0.36) Global ( 30.30, 30.82, 30.36) +TGeoTessellated 653 Local ( 0.11, 1.00, 0.90) Global ( 30.11, 31.00, 30.90) +TGeoTessellated 654 Local ( 0.06, 0.83, 0.81) Global ( 30.06, 30.83, 30.81) +TGeoTessellated 655 Local ( 0.03, 0.75, 0.69) Global ( 30.03, 30.75, 30.69) +TGeoTessellated 656 Local ( 0.02, 0.72, 0.58) Global ( 30.02, 30.72, 30.58) +TGeoTessellated 657 Local ( 0.07, 0.70, 0.46) Global ( 30.07, 30.70, 30.46) +TGeoTessellated 658 Local ( 0.19, 0.72, 0.37) Global ( 30.19, 30.72, 30.37) +TGeoTessellated 659 Local ( 0.33, 0.24, -0.54) Global ( 30.33, 30.24, 29.46) +TGeoTessellated 660 Local ( 0.32, 0.15, -0.58) Global ( 30.32, 30.15, 29.42) +TGeoTessellated 661 Local ( 0.32, 0.25, -0.57) Global ( 30.32, 30.25, 29.43) +TGeoTessellated 662 Local ( 0.32, 0.15, -0.61) Global ( 30.32, 30.15, 29.39) +TGeoTessellated 663 Local ( 0.28, 0.24, -0.51) Global ( 30.28, 30.24, 29.49) +TGeoTessellated 664 Local ( 0.28, 0.14, -0.54) Global ( 30.28, 30.14, 29.46) +TGeoTessellated 665 Local ( 0.31, 0.24, -0.52) Global ( 30.31, 30.24, 29.48) +TGeoTessellated 666 Local ( 0.30, 0.14, -0.55) Global ( 30.30, 30.14, 29.45) +TGeoTessellated 667 Local ( 0.23, 0.24, -0.55) Global ( 30.23, 30.24, 29.45) +TGeoTessellated 668 Local ( 0.23, 0.15, -0.60) Global ( 30.23, 30.15, 29.40) +TGeoTessellated 669 Local ( 0.25, 0.24, -0.53) Global ( 30.25, 30.24, 29.47) +TGeoTessellated 670 Local ( 0.25, 0.14, -0.55) Global ( 30.25, 30.14, 29.45) +TGeoTessellated 671 Local ( 0.28, 0.26, -0.63) Global ( 30.28, 30.26, 29.37) +TGeoTessellated 672 Local ( 0.27, 0.16, -0.65) Global ( 30.27, 30.16, 29.35) +TGeoTessellated 673 Local ( 0.26, 0.26, -0.63) Global ( 30.26, 30.26, 29.37) +TGeoTessellated 674 Local ( 0.26, 0.15, -0.65) Global ( 30.26, 30.15, 29.35) +TGeoTessellated 675 Local ( 0.29, 0.15, -0.65) Global ( 30.29, 30.15, 29.35) +TGeoTessellated 676 Local ( 0.30, 0.25, -0.61) Global ( 30.30, 30.25, 29.39) +TGeoTessellated 677 Local ( 0.31, 0.15, -0.63) Global ( 30.31, 30.15, 29.37) +TGeoTessellated 678 Local ( 0.32, 0.25, -0.59) Global ( 30.32, 30.25, 29.41) +TGeoTessellated 679 Local ( 0.45, 0.93, -0.47) Global ( 30.45, 30.93, 29.53) +TGeoTessellated 680 Local ( 0.45, 0.79, -0.49) Global ( 30.45, 30.79, 29.51) +TGeoTessellated 681 Local ( 0.44, 0.98, -0.61) Global ( 30.44, 30.98, 29.39) +TGeoTessellated 682 Local ( 0.46, 0.81, -0.60) Global ( 30.46, 30.81, 29.40) +TGeoTessellated 683 Local ( 0.32, 0.60, -0.38) Global ( 30.32, 30.60, 29.62) +TGeoTessellated 684 Local ( 0.41, 0.71, -0.42) Global ( 30.41, 30.71, 29.58) +TGeoTessellated 685 Local ( 0.34, 0.65, -0.38) Global ( 30.34, 30.65, 29.62) +TGeoTessellated 686 Local ( 0.40, 0.80, -0.41) Global ( 30.40, 30.80, 29.59) +TGeoTessellated 687 Local ( 0.15, 0.46, -0.53) Global ( 30.15, 30.46, 29.47) +TGeoTessellated 688 Local ( 0.21, 0.50, -0.44) Global ( 30.21, 30.50, 29.56) +TGeoTessellated 689 Local ( 0.13, 0.50, -0.53) Global ( 30.13, 30.50, 29.47) +TGeoTessellated 690 Local ( 0.19, 0.54, -0.45) Global ( 30.19, 30.54, 29.55) +TGeoTessellated 691 Local ( 0.27, 0.65, -0.83) Global ( 30.27, 30.65, 29.17) +TGeoTessellated 692 Local ( 0.29, 0.62, -0.79) Global ( 30.29, 30.62, 29.21) +TGeoTessellated 693 Local ( 0.23, 0.51, -0.75) Global ( 30.23, 30.51, 29.25) +TGeoTessellated 694 Local ( 0.43, 0.81, -0.71) Global ( 30.43, 30.81, 29.29) +TGeoTessellated 695 Local ( 0.37, 0.73, -0.78) Global ( 30.37, 30.73, 29.22) +TGeoTessellated 696 Local ( 0.42, 0.94, -0.73) Global ( 30.42, 30.94, 29.27) +TGeoTessellated 697 Local ( 0.33, 0.78, -0.85) Global ( 30.33, 30.78, 29.15) +TGeoTessellated 698 Local ( 0.41, 0.50, -0.50) Global ( 30.41, 30.50, 29.50) +TGeoTessellated 699 Local ( 0.38, 0.39, -0.51) Global ( 30.38, 30.39, 29.49) +TGeoTessellated 700 Local ( 0.40, 0.49, -0.56) Global ( 30.40, 30.49, 29.44) +TGeoTessellated 701 Local ( 0.38, 0.39, -0.55) Global ( 30.38, 30.39, 29.45) +TGeoTessellated 702 Local ( 0.31, 0.45, -0.39) Global ( 30.31, 30.45, 29.61) +TGeoTessellated 703 Local ( 0.29, 0.36, -0.42) Global ( 30.29, 30.36, 29.58) +TGeoTessellated 704 Local ( 0.36, 0.47, -0.42) Global ( 30.36, 30.47, 29.58) +TGeoTessellated 705 Local ( 0.34, 0.38, -0.45) Global ( 30.34, 30.38, 29.55) +TGeoTessellated 706 Local ( 0.22, 0.41, -0.44) Global ( 30.22, 30.41, 29.56) +TGeoTessellated 707 Local ( 0.17, 0.40, -0.52) Global ( 30.17, 30.40, 29.48) +TGeoTessellated 708 Local ( 0.22, 0.37, -0.44) Global ( 30.22, 30.37, 29.56) +TGeoTessellated 709 Local ( 0.18, 0.38, -0.52) Global ( 30.18, 30.38, 29.48) +TGeoTessellated 710 Local ( 0.29, 0.44, -0.68) Global ( 30.29, 30.44, 29.32) +TGeoTessellated 711 Local ( 0.28, 0.38, -0.66) Global ( 30.28, 30.38, 29.34) +TGeoTessellated 712 Local ( 0.24, 0.43, -0.70) Global ( 30.24, 30.43, 29.30) +TGeoTessellated 713 Local ( 0.25, 0.38, -0.67) Global ( 30.25, 30.38, 29.33) +TGeoTessellated 714 Local ( 0.35, 0.46, -0.65) Global ( 30.35, 30.46, 29.35) +TGeoTessellated 715 Local ( 0.33, 0.38, -0.63) Global ( 30.33, 30.38, 29.37) +TGeoTessellated 716 Local ( 0.39, 0.48, -0.60) Global ( 30.39, 30.48, 29.40) +TGeoTessellated 717 Local ( 0.37, 0.38, -0.59) Global ( 30.37, 30.38, 29.41) +TGeoTessellated 718 Local ( 0.44, 0.66, -0.58) Global ( 30.44, 30.66, 29.42) +TGeoTessellated 719 Local ( 0.43, 0.65, -0.50) Global ( 30.43, 30.65, 29.50) +TGeoTessellated 720 Local ( 0.39, 0.61, -0.42) Global ( 30.39, 30.61, 29.58) +TGeoTessellated 721 Local ( 0.33, 0.55, -0.38) Global ( 30.33, 30.55, 29.62) +TGeoTessellated 722 Local ( 0.21, 0.48, -0.44) Global ( 30.21, 30.48, 29.56) +TGeoTessellated 723 Local ( 0.15, 0.45, -0.53) Global ( 30.15, 30.45, 29.47) +TGeoTessellated 724 Local ( 0.29, 0.56, -0.75) Global ( 30.29, 30.56, 29.25) +TGeoTessellated 725 Local ( 0.23, 0.49, -0.73) Global ( 30.23, 30.49, 29.27) +TGeoTessellated 726 Local ( 0.35, 0.59, -0.72) Global ( 30.35, 30.59, 29.28) +TGeoTessellated 727 Local ( 0.40, 0.64, -0.66) Global ( 30.40, 30.64, 29.34) +TGeoTessellated 728 Local ( 0.15, 0.46, -0.63) Global ( 30.15, 30.46, 29.37) +TGeoTessellated 729 Local ( 0.13, 0.48, -0.64) Global ( 30.13, 30.48, 29.36) +TGeoTessellated 730 Local ( 0.16, 0.46, -0.71) Global ( 30.16, 30.46, 29.29) +TGeoTessellated 731 Local ( 0.14, 0.49, -0.73) Global ( 30.14, 30.49, 29.27) +TGeoTessellated 732 Local ( 0.16, 0.45, -0.62) Global ( 30.16, 30.45, 29.38) +TGeoTessellated 733 Local ( 0.17, 0.45, -0.69) Global ( 30.17, 30.45, 29.31) +TGeoTessellated 734 Local ( 0.18, 0.38, -0.60) Global ( 30.18, 30.38, 29.40) +TGeoTessellated 735 Local ( 0.17, 0.40, -0.60) Global ( 30.17, 30.40, 29.40) +TGeoTessellated 736 Local ( 0.20, 0.38, -0.65) Global ( 30.20, 30.38, 29.35) +TGeoTessellated 737 Local ( 0.19, 0.41, -0.65) Global ( 30.19, 30.41, 29.35) +TGeoTessellated 738 Local ( 0.23, 0.25, -0.60) Global ( 30.23, 30.25, 29.40) +TGeoTessellated 739 Local ( 0.24, 0.26, -0.61) Global ( 30.24, 30.26, 29.39) +TGeoTessellated 740 Local ( 0.23, 0.15, -0.63) Global ( 30.23, 30.15, 29.37) +TGeoTessellated 741 Local ( 0.24, 0.15, -0.64) Global ( 30.24, 30.15, 29.36) +TGeoTessellated 742 Local ( 0.36, 0.31, -0.51) Global ( 30.36, 30.31, 29.49) +TGeoTessellated 743 Local ( 0.35, 0.31, -0.55) Global ( 30.35, 30.31, 29.45) +TGeoTessellated 744 Local ( 0.28, 0.30, -0.46) Global ( 30.28, 30.30, 29.54) +TGeoTessellated 745 Local ( 0.34, 0.31, -0.49) Global ( 30.34, 30.31, 29.51) +TGeoTessellated 746 Local ( 0.20, 0.30, -0.53) Global ( 30.20, 30.30, 29.47) +TGeoTessellated 747 Local ( 0.24, 0.30, -0.49) Global ( 30.24, 30.30, 29.51) +TGeoTessellated 748 Local ( 0.28, 0.33, -0.64) Global ( 30.28, 30.33, 29.36) +TGeoTessellated 749 Local ( 0.25, 0.33, -0.64) Global ( 30.25, 30.33, 29.36) +TGeoTessellated 750 Local ( 0.32, 0.32, -0.61) Global ( 30.32, 30.32, 29.39) +TGeoTessellated 751 Local ( 0.34, 0.32, -0.58) Global ( 30.34, 30.32, 29.42) +TGeoTessellated 752 Local ( 0.22, 0.33, -0.64) Global ( 30.22, 30.33, 29.36) +TGeoTessellated 753 Local ( 0.20, 0.31, -0.60) Global ( 30.20, 30.31, 29.40) +TGeoTessellated 754 Local ( 0.33, -0.00, -0.73) Global ( 30.33, 30.00, 29.27) +TGeoTessellated 755 Local ( 0.33, 0.04, -0.71) Global ( 30.33, 30.04, 29.29) +TGeoTessellated 756 Local ( 0.35, 0.00, -0.70) Global ( 30.35, 30.00, 29.30) +TGeoTessellated 757 Local ( 0.35, 0.04, -0.67) Global ( 30.35, 30.04, 29.33) +TGeoTessellated 758 Local ( 0.35, 0.00, -0.66) Global ( 30.35, 30.00, 29.34) +TGeoTessellated 759 Local ( 0.34, 0.04, -0.63) Global ( 30.34, 30.04, 29.37) +TGeoTessellated 760 Local ( 0.34, 0.00, -0.62) Global ( 30.34, 30.00, 29.38) +TGeoTessellated 761 Local ( 0.32, 0.03, -0.59) Global ( 30.32, 30.03, 29.41) +TGeoTessellated 762 Local ( 0.28, 0.00, -0.59) Global ( 30.28, 30.00, 29.41) +TGeoTessellated 763 Local ( 0.28, 0.03, -0.58) Global ( 30.28, 30.03, 29.42) +TGeoTessellated 764 Local ( 0.22, 0.00, -0.61) Global ( 30.22, 30.00, 29.39) +TGeoTessellated 765 Local ( 0.24, 0.03, -0.60) Global ( 30.24, 30.03, 29.40) +TGeoTessellated 766 Local ( 0.20, 0.00, -0.64) Global ( 30.20, 30.00, 29.36) +TGeoTessellated 767 Local ( 0.21, 0.04, -0.63) Global ( 30.21, 30.04, 29.37) +TGeoTessellated 768 Local ( 0.19, 0.00, -0.70) Global ( 30.19, 30.00, 29.30) +TGeoTessellated 769 Local ( 0.20, 0.04, -0.68) Global ( 30.20, 30.04, 29.32) +TGeoTessellated 770 Local ( 0.27, 0.00, -0.74) Global ( 30.27, 30.00, 29.26) +TGeoTessellated 771 Local ( 0.27, 0.04, -0.72) Global ( 30.27, 30.04, 29.28) +TGeoTessellated 772 Local ( 0.30, -0.00, -0.75) Global ( 30.30, 30.00, 29.25) +TGeoTessellated 773 Local ( 0.29, 0.05, -0.73) Global ( 30.29, 30.05, 29.27) +TGeoTessellated 774 Local ( 0.21, 0.00, -0.74) Global ( 30.21, 30.00, 29.26) +TGeoTessellated 775 Local ( 0.22, 0.05, -0.73) Global ( 30.22, 30.05, 29.27) +TGeoTessellated 776 Local ( 0.25, 0.00, -0.76) Global ( 30.25, 30.00, 29.24) +TGeoTessellated 777 Local ( 0.25, 0.05, -0.73) Global ( 30.25, 30.05, 29.27) +TGeoTessellated 778 Local ( 0.33, 0.27, -0.54) Global ( 30.33, 30.27, 29.46) +TGeoTessellated 779 Local ( 0.33, 0.28, -0.56) Global ( 30.33, 30.28, 29.44) +TGeoTessellated 780 Local ( 0.28, 0.27, -0.50) Global ( 30.28, 30.27, 29.50) +TGeoTessellated 781 Local ( 0.32, 0.27, -0.51) Global ( 30.32, 30.27, 29.49) +TGeoTessellated 782 Local ( 0.22, 0.27, -0.55) Global ( 30.22, 30.27, 29.45) +TGeoTessellated 783 Local ( 0.25, 0.27, -0.52) Global ( 30.25, 30.27, 29.48) +TGeoTessellated 784 Local ( 0.28, 0.29, -0.62) Global ( 30.28, 30.29, 29.38) +TGeoTessellated 785 Local ( 0.26, 0.29, -0.62) Global ( 30.26, 30.29, 29.38) +TGeoTessellated 786 Local ( 0.31, 0.28, -0.61) Global ( 30.31, 30.28, 29.39) +TGeoTessellated 787 Local ( 0.32, 0.28, -0.59) Global ( 30.32, 30.28, 29.41) +TGeoTessellated 788 Local ( 0.23, 0.28, -0.61) Global ( 30.23, 30.28, 29.39) +TGeoTessellated 789 Local ( 0.22, 0.28, -0.59) Global ( 30.22, 30.28, 29.41) +TGeoTessellated 790 Local ( 0.32, 0.08, -0.69) Global ( 30.32, 30.08, 29.31) +TGeoTessellated 791 Local ( 0.34, 0.08, -0.65) Global ( 30.34, 30.08, 29.35) +TGeoTessellated 792 Local ( 0.34, 0.08, -0.60) Global ( 30.34, 30.08, 29.40) +TGeoTessellated 793 Local ( 0.31, 0.07, -0.57) Global ( 30.31, 30.07, 29.43) +TGeoTessellated 794 Local ( 0.28, 0.06, -0.56) Global ( 30.28, 30.06, 29.44) +TGeoTessellated 795 Local ( 0.24, 0.07, -0.57) Global ( 30.24, 30.07, 29.43) +TGeoTessellated 796 Local ( 0.21, 0.08, -0.62) Global ( 30.21, 30.08, 29.38) +TGeoTessellated 797 Local ( 0.21, 0.08, -0.67) Global ( 30.21, 30.08, 29.33) +TGeoTessellated 798 Local ( 0.27, 0.08, -0.71) Global ( 30.27, 30.08, 29.29) +TGeoTessellated 799 Local ( 0.29, 0.08, -0.70) Global ( 30.29, 30.08, 29.30) +TGeoTessellated 800 Local ( 0.23, 0.08, -0.70) Global ( 30.23, 30.08, 29.30) +TGeoTessellated 801 Local ( 0.26, 0.08, -0.71) Global ( 30.26, 30.08, 29.29) +TGeoTessellated 802 Local ( 0.31, 0.11, -0.66) Global ( 30.31, 30.11, 29.34) +TGeoTessellated 803 Local ( 0.33, 0.11, -0.63) Global ( 30.33, 30.11, 29.37) +TGeoTessellated 804 Local ( 0.33, 0.11, -0.59) Global ( 30.33, 30.11, 29.41) +TGeoTessellated 805 Local ( 0.31, 0.09, -0.55) Global ( 30.31, 30.09, 29.45) +TGeoTessellated 806 Local ( 0.28, 0.09, -0.53) Global ( 30.28, 30.09, 29.47) +TGeoTessellated 807 Local ( 0.25, 0.09, -0.55) Global ( 30.25, 30.09, 29.45) +TGeoTessellated 808 Local ( 0.22, 0.11, -0.61) Global ( 30.22, 30.11, 29.39) +TGeoTessellated 809 Local ( 0.22, 0.11, -0.65) Global ( 30.22, 30.11, 29.35) +TGeoTessellated 810 Local ( 0.27, 0.11, -0.68) Global ( 30.27, 30.11, 29.32) +TGeoTessellated 811 Local ( 0.29, 0.11, -0.67) Global ( 30.29, 30.11, 29.33) +TGeoTessellated 812 Local ( 0.23, 0.11, -0.67) Global ( 30.23, 30.11, 29.33) +TGeoTessellated 813 Local ( 0.26, 0.11, -0.68) Global ( 30.26, 30.11, 29.32) +TGeoTessellated 814 Local ( 0.22, 0.69, -0.89) Global ( 30.22, 30.69, 29.11) +TGeoTessellated 815 Local ( 0.03, 1.28, 0.78) Global ( 30.03, 31.28, 30.78) +TGeoTessellated 816 Local ( 0.05, 1.29, 0.75) Global ( 30.05, 31.29, 30.75) +TGeoTessellated 817 Local ( 0.08, 1.31, 0.75) Global ( 30.08, 31.31, 30.75) +TGeoTessellated 818 Local ( 0.01, 1.31, 1.58) Global ( 30.01, 31.31, 31.58) +TGeoTessellated 819 Local ( 0.00, 1.30, 1.62) Global ( 30.00, 31.30, 31.62) +TGeoTessellated 820 Local ( 0.02, 1.30, 1.58) Global ( 30.02, 31.30, 31.58) +TGeoTessellated 821 Local ( 0.00, 1.31, 1.58) Global ( 30.00, 31.31, 31.58) +TGeoTessellated 822 Local ( 0.01, 1.29, 1.58) Global ( 30.01, 31.29, 31.58) +TGeoTessellated 823 Local ( 0.00, 1.28, 1.58) Global ( 30.00, 31.28, 31.58) +TGeoTessellated 824 Local ( 0.04, 1.30, 0.81) Global ( 30.04, 31.30, 30.81) +TGeoTessellated 825 Local ( 0.06, 1.32, 0.73) Global ( 30.06, 31.32, 30.73) +TGeoTessellated 826 Local ( 0.03, 1.33, 0.81) Global ( 30.03, 31.33, 30.81) +TGeoTessellated 827 Local ( 0.03, 1.34, 0.73) Global ( 30.03, 31.34, 30.73) +TGeoTessellated 828 Local ( 0.00, 1.34, 0.81) Global ( 30.00, 31.34, 30.81) +TGeoTessellated 829 Local ( 0.00, 1.34, 0.73) Global ( 30.00, 31.34, 30.73) +TGeoTessellated 830 Local ( 0.03, 1.27, 0.81) Global ( 30.03, 31.27, 30.81) +TGeoTessellated 831 Local ( 0.00, 1.26, 0.81) Global ( 30.00, 31.26, 30.81) +TGeoTessellated 832 Local ( 0.00, 1.26, 0.78) Global ( 30.00, 31.26, 30.78) +TGeoTessellated 833 Local ( 0.02, 1.32, 1.17) Global ( 30.02, 31.32, 31.17) +TGeoTessellated 834 Local ( 0.02, 1.32, 1.25) Global ( 30.02, 31.32, 31.25) +TGeoTessellated 835 Local ( 0.03, 1.30, 1.17) Global ( 30.03, 31.30, 31.17) +TGeoTessellated 836 Local ( 0.03, 1.30, 1.25) Global ( 30.03, 31.30, 31.25) +TGeoTessellated 837 Local ( 0.00, 1.33, 1.17) Global ( 30.00, 31.33, 31.17) +TGeoTessellated 838 Local ( 0.00, 1.33, 1.25) Global ( 30.00, 31.33, 31.25) +TGeoTessellated 839 Local ( 0.02, 1.27, 1.17) Global ( 30.02, 31.27, 31.17) +TGeoTessellated 840 Local ( 0.02, 1.28, 1.25) Global ( 30.02, 31.28, 31.25) +TGeoTessellated 841 Local ( 0.00, 1.26, 1.17) Global ( 30.00, 31.26, 31.17) +TGeoTessellated 842 Local ( 0.00, 1.26, 1.25) Global ( 30.00, 31.26, 31.25) +TGeoTessellated 843 Local ( 0.02, 1.32, 1.44) Global ( 30.02, 31.32, 31.44) +TGeoTessellated 844 Local ( 0.01, 1.31, 1.52) Global ( 30.01, 31.31, 31.52) +TGeoTessellated 845 Local ( 0.03, 1.30, 1.44) Global ( 30.03, 31.30, 31.44) +TGeoTessellated 846 Local ( 0.02, 1.30, 1.52) Global ( 30.02, 31.30, 31.52) +TGeoTessellated 847 Local ( 0.00, 1.32, 1.44) Global ( 30.00, 31.32, 31.44) +TGeoTessellated 848 Local ( 0.00, 1.32, 1.52) Global ( 30.00, 31.32, 31.52) +TGeoTessellated 849 Local ( 0.02, 1.28, 1.44) Global ( 30.02, 31.28, 31.44) +TGeoTessellated 850 Local ( 0.01, 1.28, 1.52) Global ( 30.01, 31.28, 31.52) +TGeoTessellated 851 Local ( 0.00, 1.27, 1.44) Global ( 30.00, 31.27, 31.44) +TGeoTessellated 852 Local ( 0.00, 1.27, 1.52) Global ( 30.00, 31.27, 31.52) +TGeoTessellated 853 Local ( 0.02, 1.32, 0.99) Global ( 30.02, 31.32, 30.99) +TGeoTessellated 854 Local ( 0.02, 1.32, 1.08) Global ( 30.02, 31.32, 31.08) +TGeoTessellated 855 Local ( 0.03, 1.30, 0.99) Global ( 30.03, 31.30, 30.99) +TGeoTessellated 856 Local ( 0.03, 1.30, 1.08) Global ( 30.03, 31.30, 31.08) +TGeoTessellated 857 Local ( 0.00, 1.33, 0.99) Global ( 30.00, 31.33, 30.99) +TGeoTessellated 858 Local ( 0.00, 1.33, 1.08) Global ( 30.00, 31.33, 31.08) +TGeoTessellated 859 Local ( 0.02, 1.27, 0.99) Global ( 30.02, 31.27, 30.99) +TGeoTessellated 860 Local ( 0.02, 1.27, 1.08) Global ( 30.02, 31.27, 31.08) +TGeoTessellated 861 Local ( 0.00, 1.26, 0.99) Global ( 30.00, 31.26, 30.99) +TGeoTessellated 862 Local ( 0.00, 1.26, 1.08) Global ( 30.00, 31.26, 31.08) +TGeoTessellated 863 Local ( 0.02, 1.32, 1.35) Global ( 30.02, 31.32, 31.35) +TGeoTessellated 864 Local ( 0.03, 1.30, 1.35) Global ( 30.03, 31.30, 31.35) +TGeoTessellated 865 Local ( 0.00, 1.33, 1.35) Global ( 30.00, 31.33, 31.35) +TGeoTessellated 866 Local ( 0.02, 1.28, 1.35) Global ( 30.02, 31.28, 31.35) +TGeoTessellated 867 Local ( 0.00, 1.27, 1.35) Global ( 30.00, 31.27, 31.35) +TGeoTessellated 868 Local ( 0.03, 1.32, 0.91) Global ( 30.03, 31.32, 30.91) +TGeoTessellated 869 Local ( 0.04, 1.30, 0.91) Global ( 30.04, 31.30, 30.91) +TGeoTessellated 870 Local ( 0.00, 1.34, 0.91) Global ( 30.00, 31.34, 30.91) +TGeoTessellated 871 Local ( 0.02, 1.27, 0.91) Global ( 30.02, 31.27, 30.91) +TGeoTessellated 872 Local ( 0.00, 1.26, 0.91) Global ( 30.00, 31.26, 30.91) +TGeoTessellated 873 Local ( 0.17, 0.94, -1.36) Global ( 30.17, 30.94, 28.64) +TGeoTessellated 874 Local ( 0.18, 0.92, -1.36) Global ( 30.18, 30.92, 28.64) +TGeoTessellated 875 Local ( 0.17, 0.94, -1.37) Global ( 30.17, 30.94, 28.63) +TGeoTessellated 876 Local ( 0.16, 0.93, -1.38) Global ( 30.16, 30.93, 28.62) +TGeoTessellated 877 Local ( 0.16, 0.92, -1.38) Global ( 30.16, 30.92, 28.62) +TGeoTessellated 878 Local ( 0.16, 0.90, -1.38) Global ( 30.16, 30.90, 28.62) +TGeoTessellated 879 Local ( 0.17, 0.89, -1.37) Global ( 30.17, 30.89, 28.63) +TGeoTessellated 880 Local ( 0.17, 0.89, -1.36) Global ( 30.17, 30.89, 28.64) +TGeoTessellated 881 Local ( 0.18, 0.89, -1.35) Global ( 30.18, 30.89, 28.65) +TGeoTessellated 882 Local ( 0.18, 0.90, -1.34) Global ( 30.18, 30.90, 28.66) +TGeoTessellated 883 Local ( 0.19, 0.92, -1.34) Global ( 30.19, 30.92, 28.66) +TGeoTessellated 884 Local ( 0.18, 0.93, -1.34) Global ( 30.18, 30.93, 28.66) +TGeoTessellated 885 Local ( 0.18, 0.94, -1.35) Global ( 30.18, 30.94, 28.65) +TGeoTessellated 886 Local ( 0.15, 0.95, -1.37) Global ( 30.15, 30.95, 28.63) +TGeoTessellated 887 Local ( 0.16, 0.96, -1.35) Global ( 30.16, 30.96, 28.65) +TGeoTessellated 888 Local ( 0.14, 0.94, -1.38) Global ( 30.14, 30.94, 28.62) +TGeoTessellated 889 Local ( 0.14, 0.92, -1.39) Global ( 30.14, 30.92, 28.61) +TGeoTessellated 890 Local ( 0.14, 0.90, -1.38) Global ( 30.14, 30.90, 28.62) +TGeoTessellated 891 Local ( 0.15, 0.88, -1.37) Global ( 30.15, 30.88, 28.63) +TGeoTessellated 892 Local ( 0.16, 0.87, -1.35) Global ( 30.16, 30.87, 28.65) +TGeoTessellated 893 Local ( 0.17, 0.88, -1.33) Global ( 30.17, 30.88, 28.67) +TGeoTessellated 894 Local ( 0.18, 0.90, -1.32) Global ( 30.18, 30.90, 28.68) +TGeoTessellated 895 Local ( 0.18, 0.92, -1.31) Global ( 30.18, 30.92, 28.69) +TGeoTessellated 896 Local ( 0.18, 0.94, -1.32) Global ( 30.18, 30.94, 28.68) +TGeoTessellated 897 Local ( 0.17, 0.95, -1.33) Global ( 30.17, 30.95, 28.67) +TGeoTessellated 898 Local ( 0.12, 0.96, -1.36) Global ( 30.12, 30.96, 28.64) +TGeoTessellated 899 Local ( 0.14, 0.97, -1.34) Global ( 30.14, 30.97, 28.66) +TGeoTessellated 900 Local ( 0.12, 0.94, -1.37) Global ( 30.12, 30.94, 28.63) +TGeoTessellated 901 Local ( 0.11, 0.92, -1.38) Global ( 30.11, 30.92, 28.62) +TGeoTessellated 902 Local ( 0.12, 0.89, -1.37) Global ( 30.12, 30.89, 28.63) +TGeoTessellated 903 Local ( 0.12, 0.87, -1.36) Global ( 30.12, 30.87, 28.64) +TGeoTessellated 904 Local ( 0.14, 0.87, -1.34) Global ( 30.14, 30.87, 28.66) +TGeoTessellated 905 Local ( 0.15, 0.87, -1.32) Global ( 30.15, 30.87, 28.68) +TGeoTessellated 906 Local ( 0.16, 0.89, -1.30) Global ( 30.16, 30.89, 28.70) +TGeoTessellated 907 Local ( 0.16, 0.92, -1.30) Global ( 30.16, 30.92, 28.70) +TGeoTessellated 908 Local ( 0.16, 0.94, -1.30) Global ( 30.16, 30.94, 28.70) +TGeoTessellated 909 Local ( 0.15, 0.96, -1.32) Global ( 30.15, 30.96, 28.68) +TGeoTessellated 910 Local ( -0.26, 0.86, -0.97) Global ( 29.74, 30.86, 29.03) +TGeoTessellated 911 Local ( -0.26, 0.94, -0.95) Global ( 29.74, 30.94, 29.05) +TGeoTessellated 912 Local ( -0.24, 0.90, -1.10) Global ( 29.76, 30.90, 28.90) +TGeoTessellated 913 Local ( -0.25, 0.95, -1.09) Global ( 29.75, 30.95, 28.91) +TGeoTessellated 914 Local ( -0.04, 0.70, -1.24) Global ( 29.96, 30.70, 28.76) +TGeoTessellated 915 Local ( -0.04, 0.67, -1.24) Global ( 29.96, 30.67, 28.76) +TGeoTessellated 916 Local ( -0.07, 0.69, -1.25) Global ( 29.93, 30.69, 28.75) +TGeoTessellated 917 Local ( -0.07, 0.66, -1.24) Global ( 29.93, 30.66, 28.76) +TGeoTessellated 918 Local ( -0.08, 1.23, -1.18) Global ( 29.92, 31.23, 28.82) +TGeoTessellated 919 Local ( -0.09, 1.22, -1.29) Global ( 29.91, 31.22, 28.71) +TGeoTessellated 920 Local ( -0.15, 1.22, -1.18) Global ( 29.85, 31.22, 28.82) +TGeoTessellated 921 Local ( -0.15, 1.21, -1.28) Global ( 29.85, 31.21, 28.72) +TGeoTessellated 922 Local ( -0.14, 1.14, -1.39) Global ( 29.86, 31.14, 28.61) +TGeoTessellated 923 Local ( -0.08, 1.15, -1.41) Global ( 29.92, 31.15, 28.59) +TGeoTessellated 924 Local ( -0.12, 1.06, -1.43) Global ( 29.88, 31.06, 28.57) +TGeoTessellated 925 Local ( -0.07, 1.07, -1.45) Global ( 29.93, 31.07, 28.55) +TGeoTessellated 926 Local ( -0.04, 0.64, -1.57) Global ( 29.96, 30.64, 28.43) +TGeoTessellated 927 Local ( -0.05, 0.65, -1.59) Global ( 29.95, 30.65, 28.41) +TGeoTessellated 928 Local ( -0.02, 0.63, -1.57) Global ( 29.98, 30.63, 28.43) +TGeoTessellated 929 Local ( -0.02, 0.64, -1.59) Global ( 29.98, 30.64, 28.41) +TGeoTessellated 930 Local ( -0.01, 0.53, -1.40) Global ( 29.99, 30.53, 28.60) +TGeoTessellated 931 Local ( -0.02, 0.52, -1.37) Global ( 29.98, 30.52, 28.63) +TGeoTessellated 932 Local ( -0.04, 0.54, -1.39) Global ( 29.96, 30.54, 28.61) +TGeoTessellated 933 Local ( -0.05, 0.53, -1.37) Global ( 29.95, 30.53, 28.63) +TGeoTessellated 934 Local ( -0.25, 1.11, -1.23) Global ( 29.75, 31.11, 28.77) +TGeoTessellated 935 Local ( -0.26, 1.12, -1.18) Global ( 29.74, 31.12, 28.82) +TGeoTessellated 936 Local ( -0.23, 1.17, -1.27) Global ( 29.77, 31.17, 28.73) +TGeoTessellated 937 Local ( -0.23, 1.17, -1.18) Global ( 29.77, 31.17, 28.82) +TGeoTessellated 938 Local ( -0.07, 0.65, -1.56) Global ( 29.93, 30.65, 28.44) +TGeoTessellated 939 Local ( -0.09, 0.67, -1.56) Global ( 29.91, 30.67, 28.44) +TGeoTessellated 940 Local ( -0.08, 0.67, -1.58) Global ( 29.92, 30.67, 28.42) +TGeoTessellated 941 Local ( -0.10, 0.68, -1.56) Global ( 29.90, 30.68, 28.44) +TGeoTessellated 942 Local ( -0.07, 0.55, -1.38) Global ( 29.93, 30.55, 28.62) +TGeoTessellated 943 Local ( -0.08, 0.54, -1.35) Global ( 29.92, 30.54, 28.65) +TGeoTessellated 944 Local ( -0.10, 0.56, -1.34) Global ( 29.90, 30.56, 28.66) +TGeoTessellated 945 Local ( -0.08, 0.55, -1.32) Global ( 29.92, 30.55, 28.68) +TGeoTessellated 946 Local ( -0.04, 0.88, -1.53) Global ( 29.96, 30.88, 28.47) +TGeoTessellated 947 Local ( -0.03, 0.79, -1.57) Global ( 29.97, 30.79, 28.43) +TGeoTessellated 948 Local ( -0.08, 0.88, -1.49) Global ( 29.92, 30.88, 28.51) +TGeoTessellated 949 Local ( -0.06, 0.79, -1.55) Global ( 29.94, 30.79, 28.45) +TGeoTessellated 950 Local ( -0.15, 0.87, -1.40) Global ( 29.85, 30.87, 28.60) +TGeoTessellated 951 Local ( -0.12, 0.88, -1.45) Global ( 29.88, 30.88, 28.55) +TGeoTessellated 952 Local ( -0.11, 0.79, -1.46) Global ( 29.89, 30.79, 28.54) +TGeoTessellated 953 Local ( -0.09, 0.79, -1.51) Global ( 29.91, 30.79, 28.49) +TGeoTessellated 954 Local ( -0.13, 0.66, -1.12) Global ( 29.87, 30.66, 28.88) +TGeoTessellated 955 Local ( -0.20, 0.66, -1.21) Global ( 29.80, 30.66, 28.79) +TGeoTessellated 956 Local ( -0.16, 0.63, -1.24) Global ( 29.84, 30.63, 28.76) +TGeoTessellated 957 Local ( -0.16, 0.63, -1.28) Global ( 29.84, 30.63, 28.72) +TGeoTessellated 958 Local ( -0.04, 0.61, -0.98) Global ( 29.96, 30.61, 29.02) +TGeoTessellated 959 Local ( -0.09, 0.64, -1.00) Global ( 29.91, 30.64, 29.00) +TGeoTessellated 960 Local ( -0.04, 0.62, -1.07) Global ( 29.96, 30.62, 28.93) +TGeoTessellated 961 Local ( -0.08, 0.64, -1.09) Global ( 29.92, 30.64, 28.91) +TGeoTessellated 962 Local ( -0.24, 1.05, -1.19) Global ( 29.76, 31.05, 28.81) +TGeoTessellated 963 Local ( -0.24, 1.05, -1.24) Global ( 29.76, 31.05, 28.76) +TGeoTessellated 964 Local ( -0.23, 1.00, -1.20) Global ( 29.77, 31.00, 28.80) +TGeoTessellated 965 Local ( -0.22, 1.00, -1.26) Global ( 29.78, 31.00, 28.74) +TGeoTessellated 966 Local ( -0.18, 0.68, -1.33) Global ( 29.82, 30.68, 28.67) +TGeoTessellated 967 Local ( -0.20, 0.80, -1.23) Global ( 29.80, 30.80, 28.77) +TGeoTessellated 968 Local ( -0.16, 0.76, -1.36) Global ( 29.84, 30.76, 28.64) +TGeoTessellated 969 Local ( -0.19, 0.84, -1.29) Global ( 29.81, 30.84, 28.71) +TGeoTessellated 970 Local ( -0.12, 0.62, -1.50) Global ( 29.88, 30.62, 28.50) +TGeoTessellated 971 Local ( -0.12, 0.60, -1.44) Global ( 29.88, 30.60, 28.56) +TGeoTessellated 972 Local ( -0.13, 0.64, -1.49) Global ( 29.87, 30.64, 28.51) +TGeoTessellated 973 Local ( -0.13, 0.63, -1.44) Global ( 29.87, 30.63, 28.56) +TGeoTessellated 974 Local ( -0.03, 0.63, -1.31) Global ( 29.97, 30.63, 28.69) +TGeoTessellated 975 Local ( -0.05, 0.62, -1.29) Global ( 29.95, 30.62, 28.71) +TGeoTessellated 976 Local ( -0.14, 0.64, -1.31) Global ( 29.86, 30.64, 28.69) +TGeoTessellated 977 Local ( -0.14, 0.62, -1.33) Global ( 29.86, 30.62, 28.67) +TGeoTessellated 978 Local ( -0.12, 0.68, -1.28) Global ( 29.88, 30.68, 28.72) +TGeoTessellated 979 Local ( -0.12, 0.66, -1.32) Global ( 29.88, 30.66, 28.68) +TGeoTessellated 980 Local ( -0.04, 0.67, -1.33) Global ( 29.96, 30.67, 28.67) +TGeoTessellated 981 Local ( -0.04, 0.70, -1.27) Global ( 29.96, 30.70, 28.73) +TGeoTessellated 982 Local ( -0.07, 0.67, -1.33) Global ( 29.93, 30.67, 28.67) +TGeoTessellated 983 Local ( -0.07, 0.69, -1.28) Global ( 29.93, 30.69, 28.72) +TGeoTessellated 984 Local ( -0.13, 0.64, -1.30) Global ( 29.87, 30.64, 28.70) +TGeoTessellated 985 Local ( -0.10, 0.67, -1.26) Global ( 29.90, 30.67, 28.74) +TGeoTessellated 986 Local ( -0.13, 0.64, -1.29) Global ( 29.87, 30.64, 28.71) +TGeoTessellated 987 Local ( -0.10, 0.65, -1.26) Global ( 29.90, 30.65, 28.74) +TGeoTessellated 988 Local ( -0.08, 0.62, -1.29) Global ( 29.92, 30.62, 28.71) +TGeoTessellated 989 Local ( -0.22, 0.69, -1.24) Global ( 29.78, 30.69, 28.76) +TGeoTessellated 990 Local ( -0.20, 0.68, -1.28) Global ( 29.80, 30.68, 28.72) +TGeoTessellated 991 Local ( -0.14, 0.63, -1.29) Global ( 29.86, 30.63, 28.71) +TGeoTessellated 992 Local ( -0.14, 0.64, -1.30) Global ( 29.86, 30.64, 28.70) +TGeoTessellated 993 Local ( -0.09, 0.58, -1.45) Global ( 29.91, 30.58, 28.55) +TGeoTessellated 994 Local ( -0.09, 0.59, -1.50) Global ( 29.91, 30.59, 28.50) +TGeoTessellated 995 Local ( -0.06, 0.58, -1.46) Global ( 29.94, 30.58, 28.54) +TGeoTessellated 996 Local ( -0.06, 0.58, -1.50) Global ( 29.94, 30.58, 28.50) +TGeoTessellated 997 Local ( -0.03, 0.58, -1.47) Global ( 29.97, 30.58, 28.53) +TGeoTessellated 998 Local ( -0.02, 0.58, -1.50) Global ( 29.98, 30.58, 28.50) +TGeoTessellated 999 Local ( -0.04, 0.55, -1.39) Global ( 29.96, 30.55, 28.61) +TGeoTessellated 1000 Local ( -0.01, 0.55, -1.40) Global ( 29.99, 30.55, 28.60) +TGeoTessellated 1001 Local ( -0.09, 0.57, -1.37) Global ( 29.91, 30.57, 28.63) +TGeoTessellated 1002 Local ( -0.07, 0.57, -1.38) Global ( 29.93, 30.57, 28.62) +TGeoTessellated 1003 Local ( -0.10, 0.58, -1.35) Global ( 29.90, 30.58, 28.65) +TGeoTessellated 1004 Local ( -0.11, 0.58, -1.32) Global ( 29.89, 30.58, 28.68) +TGeoTessellated 1005 Local ( -0.08, 0.57, -1.29) Global ( 29.92, 30.57, 28.71) +TGeoTessellated 1006 Local ( -0.06, 0.56, -1.28) Global ( 29.94, 30.56, 28.72) +TGeoTessellated 1007 Local ( -0.06, 0.54, -1.32) Global ( 29.94, 30.54, 28.68) +TGeoTessellated 1008 Local ( -0.03, 0.56, -1.28) Global ( 29.97, 30.56, 28.72) +TGeoTessellated 1009 Local ( -0.02, 0.54, -1.32) Global ( 29.98, 30.54, 28.68) +TGeoTessellated 1010 Local ( -0.04, 0.58, -1.35) Global ( 29.96, 30.58, 28.65) +TGeoTessellated 1011 Local ( -0.02, 0.58, -1.36) Global ( 29.98, 30.58, 28.64) +TGeoTessellated 1012 Local ( -0.11, 0.61, -1.33) Global ( 29.89, 30.61, 28.67) +TGeoTessellated 1013 Local ( -0.07, 0.59, -1.34) Global ( 29.93, 30.59, 28.66) +TGeoTessellated 1014 Local ( -0.13, 0.62, -1.30) Global ( 29.87, 30.62, 28.70) +TGeoTessellated 1015 Local ( -0.11, 0.61, -1.21) Global ( 29.89, 30.61, 28.79) +TGeoTessellated 1016 Local ( -0.14, 0.62, -1.27) Global ( 29.86, 30.62, 28.73) +TGeoTessellated 1017 Local ( -0.03, 0.59, -1.19) Global ( 29.97, 30.59, 28.81) +TGeoTessellated 1018 Local ( -0.07, 0.60, -1.20) Global ( 29.93, 30.60, 28.80) +TGeoTessellated 1019 Local ( -0.09, 1.18, -1.35) Global ( 29.91, 31.18, 28.65) +TGeoTessellated 1020 Local ( -0.15, 1.17, -1.34) Global ( 29.85, 31.17, 28.66) +TGeoTessellated 1021 Local ( -0.13, 0.78, -1.41) Global ( 29.87, 30.78, 28.59) +TGeoTessellated 1022 Local ( -0.18, 0.86, -1.35) Global ( 29.82, 30.86, 28.65) +TGeoTessellated 1023 Local ( -0.11, 0.67, -1.53) Global ( 29.89, 30.67, 28.47) +TGeoTessellated 1024 Local ( -0.11, 0.65, -1.54) Global ( 29.89, 30.65, 28.46) +TGeoTessellated 1025 Local ( -0.09, 0.62, -1.54) Global ( 29.91, 30.62, 28.46) +TGeoTessellated 1026 Local ( -0.02, 0.61, -1.55) Global ( 29.98, 30.61, 28.45) +TGeoTessellated 1027 Local ( -0.06, 0.61, -1.55) Global ( 29.94, 30.61, 28.45) +TGeoTessellated 1028 Local ( -0.11, 0.99, -1.46) Global ( 29.89, 30.99, 28.54) +TGeoTessellated 1029 Local ( -0.05, 1.00, -1.48) Global ( 29.95, 31.00, 28.52) +TGeoTessellated 1030 Local ( -0.12, 0.96, -1.46) Global ( 29.88, 30.96, 28.54) +TGeoTessellated 1031 Local ( -0.05, 0.98, -1.49) Global ( 29.95, 30.98, 28.51) +TGeoTessellated 1032 Local ( -0.15, 0.94, -1.41) Global ( 29.85, 30.94, 28.59) +TGeoTessellated 1033 Local ( -0.18, 0.94, -1.38) Global ( 29.82, 30.94, 28.62) +TGeoTessellated 1034 Local ( -0.16, 0.95, -1.39) Global ( 29.84, 30.95, 28.61) +TGeoTessellated 1035 Local ( -0.19, 0.95, -1.37) Global ( 29.81, 30.95, 28.63) +TGeoTessellated 1036 Local ( -0.22, 0.94, -1.21) Global ( 29.78, 30.94, 28.79) +TGeoTessellated 1037 Local ( -0.20, 0.94, -1.28) Global ( 29.80, 30.94, 28.72) +TGeoTessellated 1038 Local ( -0.22, 0.91, -1.22) Global ( 29.78, 30.91, 28.78) +TGeoTessellated 1039 Local ( -0.19, 0.93, -1.30) Global ( 29.81, 30.93, 28.70) +TGeoTessellated 1040 Local ( -0.21, 0.95, -1.33) Global ( 29.79, 30.95, 28.67) +TGeoTessellated 1041 Local ( -0.20, 0.94, -1.33) Global ( 29.80, 30.94, 28.67) +TGeoTessellated 1042 Local ( -0.05, 0.74, -1.60) Global ( 29.95, 30.74, 28.40) +TGeoTessellated 1043 Local ( -0.02, 0.73, -1.61) Global ( 29.98, 30.73, 28.39) +TGeoTessellated 1044 Local ( -0.11, 0.75, -1.52) Global ( 29.89, 30.75, 28.48) +TGeoTessellated 1045 Local ( -0.09, 0.74, -1.56) Global ( 29.91, 30.74, 28.44) +TGeoTessellated 1046 Local ( -0.12, 0.73, -1.48) Global ( 29.88, 30.73, 28.52) +TGeoTessellated 1047 Local ( -0.14, 0.72, -1.43) Global ( 29.86, 30.72, 28.57) +TGeoTessellated 1048 Local ( -0.15, 0.68, -1.38) Global ( 29.85, 30.68, 28.62) +TGeoTessellated 1049 Local ( -0.14, 0.61, -1.36) Global ( 29.86, 30.61, 28.64) +TGeoTessellated 1050 Local ( -0.15, 0.62, -1.33) Global ( 29.85, 30.62, 28.67) +TGeoTessellated 1051 Local ( -0.16, 0.62, -1.36) Global ( 29.84, 30.62, 28.64) +TGeoTessellated 1052 Local ( -0.16, 0.63, -1.33) Global ( 29.84, 30.63, 28.67) +TGeoTessellated 1053 Local ( -0.11, 0.94, -1.46) Global ( 29.89, 30.94, 28.54) +TGeoTessellated 1054 Local ( -0.05, 0.95, -1.49) Global ( 29.95, 30.95, 28.51) +TGeoTessellated 1055 Local ( -0.10, 0.92, -1.48) Global ( 29.90, 30.92, 28.52) +TGeoTessellated 1056 Local ( -0.04, 0.92, -1.50) Global ( 29.96, 30.92, 28.50) +TGeoTessellated 1057 Local ( -0.15, 0.92, -1.40) Global ( 29.85, 30.92, 28.60) +TGeoTessellated 1058 Local ( -0.14, 0.93, -1.42) Global ( 29.86, 30.93, 28.58) +TGeoTessellated 1059 Local ( -0.16, 0.90, -1.39) Global ( 29.84, 30.90, 28.61) +TGeoTessellated 1060 Local ( -0.13, 0.91, -1.43) Global ( 29.87, 30.91, 28.57) +TGeoTessellated 1061 Local ( -0.22, 0.88, -1.22) Global ( 29.78, 30.88, 28.78) +TGeoTessellated 1062 Local ( -0.19, 0.90, -1.31) Global ( 29.81, 30.90, 28.69) +TGeoTessellated 1063 Local ( -0.24, 0.86, -1.12) Global ( 29.76, 30.86, 28.88) +TGeoTessellated 1064 Local ( -0.26, 0.81, -0.98) Global ( 29.74, 30.81, 29.02) +TGeoTessellated 1065 Local ( -0.18, 0.88, -1.35) Global ( 29.82, 30.88, 28.65) +TGeoTessellated 1066 Local ( -0.24, 0.78, -1.03) Global ( 29.76, 30.78, 28.97) +TGeoTessellated 1067 Local ( -0.25, 0.81, -1.15) Global ( 29.75, 30.81, 28.85) +TGeoTessellated 1068 Local ( -0.14, 1.20, -1.08) Global ( 29.86, 31.20, 28.92) +TGeoTessellated 1069 Local ( -0.06, 1.23, -1.08) Global ( 29.94, 31.23, 28.92) +TGeoTessellated 1070 Local ( -0.24, 1.10, -1.11) Global ( 29.76, 31.10, 28.89) +TGeoTessellated 1071 Local ( -0.21, 1.15, -1.09) Global ( 29.79, 31.15, 28.91) +TGeoTessellated 1072 Local ( -0.05, 0.71, -1.61) Global ( 29.95, 30.71, 28.39) +TGeoTessellated 1073 Local ( -0.02, 0.70, -1.62) Global ( 29.98, 30.70, 28.38) +TGeoTessellated 1074 Local ( -0.05, 0.68, -1.61) Global ( 29.95, 30.68, 28.39) +TGeoTessellated 1075 Local ( -0.02, 0.67, -1.61) Global ( 29.98, 30.67, 28.39) +TGeoTessellated 1076 Local ( -0.11, 0.69, -1.56) Global ( 29.89, 30.69, 28.44) +TGeoTessellated 1077 Local ( -0.11, 0.73, -1.54) Global ( 29.89, 30.73, 28.46) +TGeoTessellated 1078 Local ( -0.08, 0.69, -1.59) Global ( 29.92, 30.69, 28.41) +TGeoTessellated 1079 Local ( -0.08, 0.72, -1.58) Global ( 29.92, 30.72, 28.42) +TGeoTessellated 1080 Local ( -0.12, 0.68, -1.51) Global ( 29.88, 30.68, 28.49) +TGeoTessellated 1081 Local ( -0.13, 0.67, -1.47) Global ( 29.87, 30.67, 28.53) +TGeoTessellated 1082 Local ( -0.12, 0.71, -1.50) Global ( 29.88, 30.71, 28.50) +TGeoTessellated 1083 Local ( -0.13, 0.70, -1.45) Global ( 29.87, 30.70, 28.55) +TGeoTessellated 1084 Local ( -0.14, 0.67, -1.41) Global ( 29.86, 30.67, 28.59) +TGeoTessellated 1085 Local ( -0.13, 0.65, -1.44) Global ( 29.87, 30.65, 28.56) +TGeoTessellated 1086 Local ( -0.13, 0.60, -1.41) Global ( 29.87, 30.60, 28.59) +TGeoTessellated 1087 Local ( -0.14, 0.62, -1.41) Global ( 29.86, 30.62, 28.59) +TGeoTessellated 1088 Local ( -0.10, 0.61, -1.41) Global ( 29.90, 30.61, 28.59) +TGeoTessellated 1089 Local ( -0.12, 0.60, -1.41) Global ( 29.88, 30.60, 28.59) +TGeoTessellated 1090 Local ( -0.07, 0.62, -1.42) Global ( 29.93, 30.62, 28.58) +TGeoTessellated 1091 Local ( -0.03, 0.63, -1.42) Global ( 29.97, 30.63, 28.58) +TGeoTessellated 1092 Local ( -0.18, 1.01, -1.35) Global ( 29.82, 31.01, 28.65) +TGeoTessellated 1093 Local ( -0.16, 1.04, -1.39) Global ( 29.84, 31.04, 28.61) +TGeoTessellated 1094 Local ( -0.20, 1.00, -1.31) Global ( 29.80, 31.00, 28.69) +TGeoTessellated 1095 Local ( -0.24, 0.75, -1.17) Global ( 29.76, 30.75, 28.83) +TGeoTessellated 1096 Local ( -0.23, 0.71, -1.12) Global ( 29.77, 30.71, 28.88) +TGeoTessellated 1097 Local ( -0.17, 0.68, -1.04) Global ( 29.83, 30.68, 28.96) +TGeoTessellated 1098 Local ( -0.15, 0.63, -1.31) Global ( 29.85, 30.63, 28.69) +TGeoTessellated 1099 Local ( -0.16, 0.64, -1.29) Global ( 29.84, 30.64, 28.71) +TGeoTessellated 1100 Local ( -0.16, 0.63, -1.30) Global ( 29.84, 30.63, 28.70) +TGeoTessellated 1101 Local ( -0.19, 1.12, -1.37) Global ( 29.81, 31.12, 28.63) +TGeoTessellated 1102 Local ( -0.20, 0.70, -0.97) Global ( 29.80, 30.70, 29.03) +TGeoTessellated 1103 Local ( -0.11, 0.63, -0.93) Global ( 29.89, 30.63, 29.07) +TGeoTessellated 1104 Local ( -0.21, 1.15, -1.32) Global ( 29.79, 31.15, 28.68) +TGeoTessellated 1105 Local ( -0.14, 0.92, -1.39) Global ( 29.86, 30.92, 28.61) +TGeoTessellated 1106 Local ( -0.16, 0.90, -1.38) Global ( 29.84, 30.90, 28.62) +TGeoTessellated 1107 Local ( -0.17, 0.89, -1.35) Global ( 29.83, 30.89, 28.65) +TGeoTessellated 1108 Local ( -0.18, 0.90, -1.32) Global ( 29.82, 30.90, 28.68) +TGeoTessellated 1109 Local ( -0.18, 0.92, -1.31) Global ( 29.82, 30.92, 28.69) +TGeoTessellated 1110 Local ( -0.18, 0.93, -1.34) Global ( 29.82, 30.93, 28.66) +TGeoTessellated 1111 Local ( -0.17, 0.93, -1.37) Global ( 29.83, 30.93, 28.63) +TGeoTessellated 1112 Local ( -0.13, 0.91, -1.35) Global ( 29.87, 30.91, 28.65) +TGeoTessellated 1113 Local ( -0.13, 0.61, -1.36) Global ( 29.87, 30.61, 28.64) +TGeoTessellated 1114 Local ( -0.20, 1.07, -1.33) Global ( 29.80, 31.07, 28.67) +TGeoTessellated 1115 Local ( -0.21, 1.04, -1.32) Global ( 29.79, 31.04, 28.68) +TGeoTessellated 1116 Local ( -0.22, 1.03, -1.30) Global ( 29.78, 31.03, 28.70) +TGeoTessellated 1117 Local ( -0.23, 1.03, -1.27) Global ( 29.77, 31.03, 28.73) +TGeoTessellated 1118 Local ( -0.21, 1.10, -1.33) Global ( 29.79, 31.10, 28.67) +TGeoTessellated 1119 Local ( -0.22, 1.11, -1.31) Global ( 29.78, 31.11, 28.69) +TGeoTessellated 1120 Local ( -0.24, 1.12, -1.28) Global ( 29.76, 31.12, 28.72) +TGeoTessellated 1121 Local ( -0.25, 0.98, -1.17) Global ( 29.75, 30.98, 28.83) +TGeoTessellated 1122 Local ( -0.24, 1.00, -1.17) Global ( 29.76, 31.00, 28.83) +TGeoTessellated 1123 Local ( -0.25, 0.98, -1.15) Global ( 29.75, 30.98, 28.85) +TGeoTessellated 1124 Local ( -0.24, 1.08, -1.23) Global ( 29.76, 31.08, 28.77) +TGeoTessellated 1125 Local ( -0.25, 1.08, -1.19) Global ( 29.75, 31.08, 28.81) +TGeoTessellated 1126 Local ( -0.24, 1.05, -1.26) Global ( 29.76, 31.05, 28.74) +TGeoTessellated 1127 Local ( -0.24, 1.01, -1.17) Global ( 29.76, 31.01, 28.83) +TGeoTessellated 1128 Local ( -0.25, 1.08, -1.25) Global ( 29.75, 31.08, 28.75) +TGeoTessellated 1129 Local ( -0.25, 1.10, -1.26) Global ( 29.75, 31.10, 28.74) +TGeoTessellated 1130 Local ( -0.25, 0.99, -1.07) Global ( 29.75, 30.99, 28.93) +TGeoTessellated 1131 Local ( -0.24, 1.03, -0.98) Global ( 29.76, 31.03, 29.02) +TGeoTessellated 1132 Local ( -0.25, 1.02, -1.08) Global ( 29.75, 31.02, 28.92) +TGeoTessellated 1133 Local ( -0.23, 1.07, -1.04) Global ( 29.77, 31.07, 28.96) +TGeoTessellated 1134 Local ( -0.25, 0.99, -1.12) Global ( 29.75, 30.99, 28.88) +TGeoTessellated 1135 Local ( -0.25, 1.07, -1.12) Global ( 29.75, 31.07, 28.88) +TGeoTessellated 1136 Local ( -0.24, 1.00, -1.13) Global ( 29.76, 31.00, 28.87) +TGeoTessellated 1137 Local ( -0.25, 1.05, -1.15) Global ( 29.75, 31.05, 28.85) +TGeoTessellated 1138 Local ( -0.23, 1.02, -1.14) Global ( 29.77, 31.02, 28.86) +TGeoTessellated 1139 Local ( -0.23, 1.02, -1.16) Global ( 29.77, 31.02, 28.84) +TGeoTessellated 1140 Local ( -0.05, 0.58, -0.92) Global ( 29.95, 30.58, 29.08) +TGeoTessellated 1141 Local ( 0.02, 0.48, -1.17) Global ( 30.02, 30.48, 28.83) +TGeoTessellated 1142 Local ( 0.00, 0.45, -1.25) Global ( 30.00, 30.45, 28.75) +TGeoTessellated 1143 Local ( 0.03, 0.59, -1.19) Global ( 30.03, 30.59, 28.81) +TGeoTessellated 1144 Local ( 0.00, 0.56, -1.28) Global ( 30.00, 30.56, 28.72) +TGeoTessellated 1145 Local ( 0.03, 0.49, -1.05) Global ( 30.03, 30.49, 28.95) +TGeoTessellated 1146 Local ( 0.04, 0.62, -1.07) Global ( 30.04, 30.62, 28.93) +TGeoTessellated 1147 Local ( 0.04, 0.47, -0.99) Global ( 30.04, 30.47, 29.01) +TGeoTessellated 1148 Local ( 0.05, 0.61, -0.98) Global ( 30.05, 30.61, 29.02) +TGeoTessellated 1149 Local ( 0.04, 0.45, -0.92) Global ( 30.04, 30.45, 29.08) +TGeoTessellated 1150 Local ( 0.05, 0.58, -0.92) Global ( 30.05, 30.58, 29.08) +TGeoTessellated 1151 Local ( 0.04, 0.43, -0.87) Global ( 30.04, 30.43, 29.13) +TGeoTessellated 1152 Local ( 0.07, 0.54, -0.88) Global ( 30.07, 30.54, 29.12) +TGeoTessellated 1153 Local ( 0.04, 0.41, -0.81) Global ( 30.04, 30.41, 29.19) +TGeoTessellated 1154 Local ( 0.04, 0.38, -0.74) Global ( 30.04, 30.38, 29.26) +TGeoTessellated 1155 Local ( 0.08, 0.46, -0.74) Global ( 30.08, 30.46, 29.26) +TGeoTessellated 1156 Local ( 0.04, 0.35, -0.67) Global ( 30.04, 30.35, 29.33) +TGeoTessellated 1157 Local ( 0.04, 0.32, -0.52) Global ( 30.04, 30.32, 29.48) +TGeoTessellated 1158 Local ( 0.09, 0.45, -0.53) Global ( 30.09, 30.45, 29.47) +TGeoTessellated 1159 Local ( 0.04, 0.34, -0.42) Global ( 30.04, 30.34, 29.58) +TGeoTessellated 1160 Local ( 0.12, 0.49, -0.44) Global ( 30.12, 30.49, 29.56) +TGeoTessellated 1161 Local ( 0.14, 0.52, -0.37) Global ( 30.14, 30.52, 29.63) +TGeoTessellated 1162 Local ( 0.04, 0.38, -0.34) Global ( 30.04, 30.38, 29.66) +TGeoTessellated 1163 Local ( 0.05, 0.40, -0.27) Global ( 30.05, 30.40, 29.73) +TGeoTessellated 1164 Local ( 0.16, 0.54, -0.27) Global ( 30.16, 30.54, 29.73) +TGeoTessellated 1165 Local ( 0.04, 0.41, -0.18) Global ( 30.04, 30.41, 29.82) +TGeoTessellated 1166 Local ( 0.17, 0.53, -0.17) Global ( 30.17, 30.53, 29.83) +TGeoTessellated 1167 Local ( 0.01, 0.45, -0.01) Global ( 30.01, 30.45, 29.99) +TGeoTessellated 1168 Local ( -0.00, 0.44, -1.16) Global ( 30.00, 30.44, 28.84) +TGeoTessellated 1169 Local ( -0.00, 0.43, -1.25) Global ( 30.00, 30.43, 28.75) +TGeoTessellated 1170 Local ( 0.00, 0.59, -1.19) Global ( 30.00, 30.59, 28.81) +TGeoTessellated 1171 Local ( 0.00, 0.56, -1.28) Global ( 30.00, 30.56, 28.72) +TGeoTessellated 1172 Local ( -0.00, 0.44, -1.05) Global ( 30.00, 30.44, 28.95) +TGeoTessellated 1173 Local ( 0.00, 0.61, -1.06) Global ( 30.00, 30.61, 28.94) +TGeoTessellated 1174 Local ( -0.00, 0.43, -0.99) Global ( 30.00, 30.43, 29.01) +TGeoTessellated 1175 Local ( 0.00, 0.59, -0.99) Global ( 30.00, 30.59, 29.01) +TGeoTessellated 1176 Local ( -0.00, 0.42, -0.93) Global ( 30.00, 30.42, 29.07) +TGeoTessellated 1177 Local ( 0.00, 0.55, -0.93) Global ( 30.00, 30.55, 29.07) +TGeoTessellated 1178 Local ( -0.00, 0.40, -0.88) Global ( 30.00, 30.40, 29.12) +TGeoTessellated 1179 Local ( 0.00, 0.52, -0.88) Global ( 30.00, 30.52, 29.12) +TGeoTessellated 1180 Local ( -0.00, 0.37, -0.82) Global ( 30.00, 30.37, 29.18) +TGeoTessellated 1181 Local ( 0.00, 0.48, -0.82) Global ( 30.00, 30.48, 29.18) +TGeoTessellated 1182 Local ( -0.00, 0.34, -0.74) Global ( 30.00, 30.34, 29.26) +TGeoTessellated 1183 Local ( 0.00, 0.43, -0.74) Global ( 30.00, 30.43, 29.26) +TGeoTessellated 1184 Local ( -0.00, 0.32, -0.68) Global ( 30.00, 30.32, 29.32) +TGeoTessellated 1185 Local ( 0.00, 0.41, -0.68) Global ( 30.00, 30.41, 29.32) +TGeoTessellated 1186 Local ( -0.00, 0.29, -0.52) Global ( 30.00, 30.29, 29.48) +TGeoTessellated 1187 Local ( 0.00, 0.41, -0.52) Global ( 30.00, 30.41, 29.48) +TGeoTessellated 1188 Local ( -0.00, 0.32, -0.42) Global ( 30.00, 30.32, 29.58) +TGeoTessellated 1189 Local ( 0.00, 0.45, -0.37) Global ( 30.00, 30.45, 29.63) +TGeoTessellated 1190 Local ( -0.00, 0.34, -0.34) Global ( 30.00, 30.34, 29.66) +TGeoTessellated 1191 Local ( -0.00, 0.37, -0.28) Global ( 30.00, 30.37, 29.72) +TGeoTessellated 1192 Local ( 0.00, 0.50, -0.28) Global ( 30.00, 30.50, 29.72) +TGeoTessellated 1193 Local ( -0.00, 0.42, -0.00) Global ( 30.00, 30.42, 30.00) +TGeoTessellated 1194 Local ( -0.00, 0.38, -0.18) Global ( 30.00, 30.38, 29.82) +TGeoTessellated 1195 Local ( 0.00, 0.50, -0.18) Global ( 30.00, 30.50, 29.82) +TGeoTessellated 1196 Local ( 0.02, 1.32, 1.19) Global ( 30.02, 31.32, 31.19) +TGeoTessellated 1197 Local ( 0.00, 1.33, 1.19) Global ( 30.00, 31.33, 31.19) +TGeoTessellated 1198 Local ( 0.03, 1.33, 1.32) Global ( 30.03, 31.33, 31.32) +TGeoTessellated 1199 Local ( 0.00, 1.34, 1.33) Global ( 30.00, 31.34, 31.33) +TGeoTessellated 1200 Local ( 0.04, 1.31, 1.33) Global ( 30.04, 31.31, 31.33) +TGeoTessellated 1201 Local ( 0.03, 1.30, 1.19) Global ( 30.03, 31.30, 31.19) +TGeoTessellated 1202 Local ( 0.03, 1.30, 1.19) Global ( 30.03, 31.30, 31.19) +TGeoTessellated 1203 Local ( 0.02, 1.32, 1.19) Global ( 30.02, 31.32, 31.19) +TGeoTessellated 1204 Local ( 0.04, 1.30, 1.32) Global ( 30.04, 31.30, 31.32) +TGeoTessellated 1205 Local ( 0.03, 1.33, 1.33) Global ( 30.03, 31.33, 31.33) +TGeoTessellated 1206 Local ( 0.03, 1.27, 1.33) Global ( 30.03, 31.27, 31.33) +TGeoTessellated 1207 Local ( 0.02, 1.27, 1.19) Global ( 30.02, 31.27, 31.19) +TGeoTessellated 1208 Local ( 0.02, 1.32, 1.28) Global ( 30.02, 31.32, 31.28) +TGeoTessellated 1209 Local ( 0.00, 1.33, 1.28) Global ( 30.00, 31.33, 31.28) +TGeoTessellated 1210 Local ( 0.03, 1.34, 1.41) Global ( 30.03, 31.34, 31.41) +TGeoTessellated 1211 Local ( 0.00, 1.35, 1.41) Global ( 30.00, 31.35, 31.41) +TGeoTessellated 1212 Local ( 0.05, 1.31, 1.41) Global ( 30.05, 31.31, 31.41) +TGeoTessellated 1213 Local ( 0.03, 1.30, 1.28) Global ( 30.03, 31.30, 31.28) +TGeoTessellated 1214 Local ( 0.03, 1.30, 1.28) Global ( 30.03, 31.30, 31.28) +TGeoTessellated 1215 Local ( 0.02, 1.32, 1.28) Global ( 30.02, 31.32, 31.28) +TGeoTessellated 1216 Local ( 0.04, 1.30, 1.41) Global ( 30.04, 31.30, 31.41) +TGeoTessellated 1217 Local ( 0.03, 1.33, 1.41) Global ( 30.03, 31.33, 31.41) +TGeoTessellated 1218 Local ( 0.03, 1.27, 1.41) Global ( 30.03, 31.27, 31.41) +TGeoTessellated 1219 Local ( 0.02, 1.27, 1.28) Global ( 30.02, 31.27, 31.28) +TGeoTessellated 1220 Local ( 0.02, 1.32, 1.35) Global ( 30.02, 31.32, 31.35) +TGeoTessellated 1221 Local ( 0.00, 1.33, 1.35) Global ( 30.00, 31.33, 31.35) +TGeoTessellated 1222 Local ( 0.03, 1.34, 1.45) Global ( 30.03, 31.34, 31.45) +TGeoTessellated 1223 Local ( 0.00, 1.35, 1.46) Global ( 30.00, 31.35, 31.46) +TGeoTessellated 1224 Local ( 0.04, 1.31, 1.46) Global ( 30.04, 31.31, 31.46) +TGeoTessellated 1225 Local ( 0.03, 1.30, 1.35) Global ( 30.03, 31.30, 31.35) +TGeoTessellated 1226 Local ( 0.03, 1.30, 1.35) Global ( 30.03, 31.30, 31.35) +TGeoTessellated 1227 Local ( 0.02, 1.32, 1.35) Global ( 30.02, 31.32, 31.35) +TGeoTessellated 1228 Local ( 0.04, 1.30, 1.45) Global ( 30.04, 31.30, 31.45) +TGeoTessellated 1229 Local ( 0.04, 1.33, 1.46) Global ( 30.04, 31.33, 31.46) +TGeoTessellated 1230 Local ( 0.04, 1.26, 1.46) Global ( 30.04, 31.26, 31.46) +TGeoTessellated 1231 Local ( 0.02, 1.28, 1.35) Global ( 30.02, 31.28, 31.35) +TGeoTessellated 1232 Local ( 0.02, 1.32, 1.39) Global ( 30.02, 31.32, 31.39) +TGeoTessellated 1233 Local ( 0.00, 1.33, 1.39) Global ( 30.00, 31.33, 31.39) +TGeoTessellated 1234 Local ( 0.03, 1.34, 1.50) Global ( 30.03, 31.34, 31.50) +TGeoTessellated 1235 Local ( 0.00, 1.35, 1.50) Global ( 30.00, 31.35, 31.50) +TGeoTessellated 1236 Local ( 0.04, 1.31, 1.50) Global ( 30.04, 31.31, 31.50) +TGeoTessellated 1237 Local ( 0.03, 1.30, 1.39) Global ( 30.03, 31.30, 31.39) +TGeoTessellated 1238 Local ( 0.03, 1.30, 1.39) Global ( 30.03, 31.30, 31.39) +TGeoTessellated 1239 Local ( 0.02, 1.32, 1.39) Global ( 30.02, 31.32, 31.39) +TGeoTessellated 1240 Local ( 0.04, 1.30, 1.50) Global ( 30.04, 31.30, 31.50) +TGeoTessellated 1241 Local ( 0.03, 1.33, 1.50) Global ( 30.03, 31.33, 31.50) +TGeoTessellated 1242 Local ( 0.03, 1.26, 1.50) Global ( 30.03, 31.26, 31.50) +TGeoTessellated 1243 Local ( 0.02, 1.28, 1.39) Global ( 30.02, 31.28, 31.39) +TGeoTessellated 1244 Local ( 0.03, 1.30, 1.44) Global ( 30.03, 31.30, 31.44) +TGeoTessellated 1245 Local ( 0.02, 1.32, 1.44) Global ( 30.02, 31.32, 31.44) +TGeoTessellated 1246 Local ( 0.04, 1.30, 1.53) Global ( 30.04, 31.30, 31.53) +TGeoTessellated 1247 Local ( 0.03, 1.33, 1.54) Global ( 30.03, 31.33, 31.54) +TGeoTessellated 1248 Local ( 0.03, 1.26, 1.54) Global ( 30.03, 31.26, 31.54) +TGeoTessellated 1249 Local ( 0.02, 1.28, 1.44) Global ( 30.02, 31.28, 31.44) +TGeoTessellated 1250 Local ( 0.02, 1.32, 1.44) Global ( 30.02, 31.32, 31.44) +TGeoTessellated 1251 Local ( 0.00, 1.32, 1.44) Global ( 30.00, 31.32, 31.44) +TGeoTessellated 1252 Local ( 0.03, 1.33, 1.53) Global ( 30.03, 31.33, 31.53) +TGeoTessellated 1253 Local ( 0.00, 1.34, 1.54) Global ( 30.00, 31.34, 31.54) +TGeoTessellated 1254 Local ( 0.04, 1.30, 1.54) Global ( 30.04, 31.30, 31.54) +TGeoTessellated 1255 Local ( 0.02, 1.29, 1.44) Global ( 30.02, 31.29, 31.44) +TGeoTessellated 1256 Local ( 0.03, 1.30, 1.48) Global ( 30.03, 31.30, 31.48) +TGeoTessellated 1257 Local ( 0.02, 1.32, 1.48) Global ( 30.02, 31.32, 31.48) +TGeoTessellated 1258 Local ( 0.03, 1.30, 1.57) Global ( 30.03, 31.30, 31.57) +TGeoTessellated 1259 Local ( 0.03, 1.33, 1.57) Global ( 30.03, 31.33, 31.57) +TGeoTessellated 1260 Local ( 0.03, 1.27, 1.57) Global ( 30.03, 31.27, 31.57) +TGeoTessellated 1261 Local ( 0.02, 1.28, 1.48) Global ( 30.02, 31.28, 31.48) +TGeoTessellated 1262 Local ( 0.02, 1.32, 1.48) Global ( 30.02, 31.32, 31.48) +TGeoTessellated 1263 Local ( 0.00, 1.32, 1.48) Global ( 30.00, 31.32, 31.48) +TGeoTessellated 1264 Local ( 0.02, 1.33, 1.57) Global ( 30.02, 31.33, 31.57) +TGeoTessellated 1265 Local ( 0.00, 1.34, 1.57) Global ( 30.00, 31.34, 31.57) +TGeoTessellated 1266 Local ( 0.03, 1.30, 1.57) Global ( 30.03, 31.30, 31.57) +TGeoTessellated 1267 Local ( 0.02, 1.29, 1.48) Global ( 30.02, 31.29, 31.48) +TGeoTessellated 1268 Local ( 0.02, 1.30, 1.52) Global ( 30.02, 31.30, 31.52) +TGeoTessellated 1269 Local ( 0.01, 1.31, 1.52) Global ( 30.01, 31.31, 31.52) +TGeoTessellated 1270 Local ( 0.03, 1.30, 1.60) Global ( 30.03, 31.30, 31.60) +TGeoTessellated 1271 Local ( 0.02, 1.32, 1.60) Global ( 30.02, 31.32, 31.60) +TGeoTessellated 1272 Local ( 0.02, 1.27, 1.60) Global ( 30.02, 31.27, 31.60) +TGeoTessellated 1273 Local ( 0.01, 1.28, 1.52) Global ( 30.01, 31.28, 31.52) +TGeoTessellated 1274 Local ( 0.01, 1.31, 1.52) Global ( 30.01, 31.31, 31.52) +TGeoTessellated 1275 Local ( 0.00, 1.32, 1.52) Global ( 30.00, 31.32, 31.52) +TGeoTessellated 1276 Local ( 0.02, 1.32, 1.60) Global ( 30.02, 31.32, 31.60) +TGeoTessellated 1277 Local ( 0.00, 1.33, 1.60) Global ( 30.00, 31.33, 31.60) +TGeoTessellated 1278 Local ( 0.03, 1.30, 1.60) Global ( 30.03, 31.30, 31.60) +TGeoTessellated 1279 Local ( 0.02, 1.30, 1.52) Global ( 30.02, 31.30, 31.52) +TGeoTessellated 1280 Local ( 0.01, 1.31, 1.58) Global ( 30.01, 31.31, 31.58) +TGeoTessellated 1281 Local ( 0.00, 1.31, 1.58) Global ( 30.00, 31.31, 31.58) +TGeoTessellated 1282 Local ( 0.01, 1.31, 1.61) Global ( 30.01, 31.31, 31.61) +TGeoTessellated 1283 Local ( 0.00, 1.32, 1.61) Global ( 30.00, 31.32, 31.61) +TGeoTessellated 1284 Local ( 0.02, 1.30, 1.61) Global ( 30.02, 31.30, 31.61) +TGeoTessellated 1285 Local ( 0.02, 1.30, 1.58) Global ( 30.02, 31.30, 31.58) +TGeoTessellated 1286 Local ( 0.02, 1.30, 1.58) Global ( 30.02, 31.30, 31.58) +TGeoTessellated 1287 Local ( 0.00, 1.31, 1.58) Global ( 30.00, 31.31, 31.58) +TGeoTessellated 1288 Local ( 0.02, 1.30, 1.61) Global ( 30.02, 31.30, 31.61) +TGeoTessellated 1289 Local ( 0.01, 1.31, 1.61) Global ( 30.01, 31.31, 31.61) +TGeoTessellated 1290 Local ( 0.01, 1.28, 1.61) Global ( 30.01, 31.28, 31.61) +TGeoTessellated 1291 Local ( 0.01, 1.29, 1.58) Global ( 30.01, 31.29, 31.58) +TGeoTessellated 1292 Local ( 0.00, 1.25, 1.33) Global ( 30.00, 31.25, 31.33) +TGeoTessellated 1293 Local ( 0.00, 1.26, 1.19) Global ( 30.00, 31.26, 31.19) +TGeoTessellated 1294 Local ( 0.03, 1.26, 1.32) Global ( 30.03, 31.26, 31.32) +TGeoTessellated 1295 Local ( 0.02, 1.27, 1.19) Global ( 30.02, 31.27, 31.19) +TGeoTessellated 1296 Local ( 0.03, 1.30, 1.19) Global ( 30.03, 31.30, 31.19) +TGeoTessellated 1297 Local ( 0.04, 1.29, 1.33) Global ( 30.04, 31.29, 31.33) +TGeoTessellated 1298 Local ( 0.00, 1.25, 1.41) Global ( 30.00, 31.25, 31.41) +TGeoTessellated 1299 Local ( 0.00, 1.27, 1.28) Global ( 30.00, 31.27, 31.28) +TGeoTessellated 1300 Local ( 0.03, 1.26, 1.41) Global ( 30.03, 31.26, 31.41) +TGeoTessellated 1301 Local ( 0.02, 1.27, 1.28) Global ( 30.02, 31.27, 31.28) +TGeoTessellated 1302 Local ( 0.03, 1.30, 1.28) Global ( 30.03, 31.30, 31.28) +TGeoTessellated 1303 Local ( 0.05, 1.29, 1.41) Global ( 30.05, 31.29, 31.41) +TGeoTessellated 1304 Local ( 0.00, 1.25, 1.46) Global ( 30.00, 31.25, 31.46) +TGeoTessellated 1305 Local ( 0.00, 1.27, 1.35) Global ( 30.00, 31.27, 31.35) +TGeoTessellated 1306 Local ( 0.03, 1.26, 1.45) Global ( 30.03, 31.26, 31.45) +TGeoTessellated 1307 Local ( 0.02, 1.28, 1.35) Global ( 30.02, 31.28, 31.35) +TGeoTessellated 1308 Local ( 0.03, 1.30, 1.35) Global ( 30.03, 31.30, 31.35) +TGeoTessellated 1309 Local ( 0.04, 1.29, 1.46) Global ( 30.04, 31.29, 31.46) +TGeoTessellated 1310 Local ( 0.00, 1.25, 1.50) Global ( 30.00, 31.25, 31.50) +TGeoTessellated 1311 Local ( 0.00, 1.27, 1.39) Global ( 30.00, 31.27, 31.39) +TGeoTessellated 1312 Local ( 0.03, 1.26, 1.50) Global ( 30.03, 31.26, 31.50) +TGeoTessellated 1313 Local ( 0.02, 1.28, 1.39) Global ( 30.02, 31.28, 31.39) +TGeoTessellated 1314 Local ( 0.03, 1.30, 1.39) Global ( 30.03, 31.30, 31.39) +TGeoTessellated 1315 Local ( 0.04, 1.29, 1.50) Global ( 30.04, 31.29, 31.50) +TGeoTessellated 1316 Local ( 0.00, 1.25, 1.54) Global ( 30.00, 31.25, 31.54) +TGeoTessellated 1317 Local ( 0.00, 1.27, 1.44) Global ( 30.00, 31.27, 31.44) +TGeoTessellated 1318 Local ( 0.03, 1.26, 1.53) Global ( 30.03, 31.26, 31.53) +TGeoTessellated 1319 Local ( 0.02, 1.28, 1.44) Global ( 30.02, 31.28, 31.44) +TGeoTessellated 1320 Local ( 0.02, 1.30, 1.44) Global ( 30.02, 31.30, 31.44) +TGeoTessellated 1321 Local ( 0.04, 1.30, 1.54) Global ( 30.04, 31.30, 31.54) +TGeoTessellated 1322 Local ( 0.00, 1.26, 1.57) Global ( 30.00, 31.26, 31.57) +TGeoTessellated 1323 Local ( 0.00, 1.27, 1.48) Global ( 30.00, 31.27, 31.48) +TGeoTessellated 1324 Local ( 0.02, 1.27, 1.57) Global ( 30.02, 31.27, 31.57) +TGeoTessellated 1325 Local ( 0.02, 1.28, 1.48) Global ( 30.02, 31.28, 31.48) +TGeoTessellated 1326 Local ( 0.02, 1.30, 1.48) Global ( 30.02, 31.30, 31.48) +TGeoTessellated 1327 Local ( 0.03, 1.30, 1.57) Global ( 30.03, 31.30, 31.57) +TGeoTessellated 1328 Local ( 0.00, 1.26, 1.60) Global ( 30.00, 31.26, 31.60) +TGeoTessellated 1329 Local ( 0.00, 1.27, 1.52) Global ( 30.00, 31.27, 31.52) +TGeoTessellated 1330 Local ( 0.02, 1.27, 1.60) Global ( 30.02, 31.27, 31.60) +TGeoTessellated 1331 Local ( 0.01, 1.28, 1.52) Global ( 30.01, 31.28, 31.52) +TGeoTessellated 1332 Local ( 0.02, 1.30, 1.52) Global ( 30.02, 31.30, 31.52) +TGeoTessellated 1333 Local ( 0.03, 1.29, 1.60) Global ( 30.03, 31.29, 31.60) +TGeoTessellated 1334 Local ( 0.00, 1.28, 1.61) Global ( 30.00, 31.28, 31.61) +TGeoTessellated 1335 Local ( 0.00, 1.28, 1.58) Global ( 30.00, 31.28, 31.58) +TGeoTessellated 1336 Local ( 0.01, 1.28, 1.61) Global ( 30.01, 31.28, 31.61) +TGeoTessellated 1337 Local ( 0.01, 1.29, 1.58) Global ( 30.01, 31.29, 31.58) +TGeoTessellated 1338 Local ( 0.02, 1.30, 1.58) Global ( 30.02, 31.30, 31.58) +TGeoTessellated 1339 Local ( 0.02, 1.29, 1.61) Global ( 30.02, 31.29, 31.61) +TGeoTessellated 1340 Local ( -0.14, 0.52, -0.37) Global ( 29.86, 30.52, 29.63) +TGeoTessellated 1341 Local ( -0.16, 0.54, -0.27) Global ( 29.84, 30.54, 29.73) +TGeoTessellated 1342 Local ( -0.11, 1.48, -0.52) Global ( 29.89, 31.48, 29.48) +TGeoTessellated 1343 Local ( -0.11, 1.46, -0.36) Global ( 29.89, 31.46, 29.64) +TGeoTessellated 1344 Local ( -0.40, 0.72, 0.02) Global ( 29.60, 30.72, 30.02) +TGeoTessellated 1345 Local ( -0.44, 0.91, 0.02) Global ( 29.56, 30.91, 30.02) +TGeoTessellated 1346 Local ( -0.41, 0.71, -0.13) Global ( 29.59, 30.71, 29.87) +TGeoTessellated 1347 Local ( -0.43, 0.89, -0.12) Global ( 29.57, 30.89, 29.88) +TGeoTessellated 1348 Local ( -0.02, 0.86, 0.80) Global ( 29.98, 30.86, 30.80) +TGeoTessellated 1349 Local ( -0.06, 1.06, 0.90) Global ( 29.94, 31.06, 30.90) +TGeoTessellated 1350 Local ( -0.01, 0.76, 0.69) Global ( 29.99, 30.76, 30.69) +TGeoTessellated 1351 Local ( -0.08, 0.46, -0.74) Global ( 29.92, 30.46, 29.26) +TGeoTessellated 1352 Local ( -0.08, 0.50, -0.81) Global ( 29.92, 30.50, 29.19) +TGeoTessellated 1353 Local ( -0.08, 1.30, -0.94) Global ( 29.92, 31.30, 29.06) +TGeoTessellated 1354 Local ( -0.11, 1.39, -0.83) Global ( 29.89, 31.39, 29.17) +TGeoTessellated 1355 Local ( -0.20, 1.32, -0.79) Global ( 29.80, 31.32, 29.21) +TGeoTessellated 1356 Local ( -0.16, 1.23, -0.93) Global ( 29.84, 31.23, 29.07) +TGeoTessellated 1357 Local ( -0.32, 1.18, -0.76) Global ( 29.68, 31.18, 29.24) +TGeoTessellated 1358 Local ( -0.25, 1.10, -0.89) Global ( 29.75, 31.10, 29.11) +TGeoTessellated 1359 Local ( -0.18, 0.52, 0.00) Global ( 29.82, 30.52, 30.00) +TGeoTessellated 1360 Local ( -0.16, 0.56, 0.22) Global ( 29.84, 30.56, 30.22) +TGeoTessellated 1361 Local ( -0.34, 0.80, 0.32) Global ( 29.66, 30.80, 30.32) +TGeoTessellated 1362 Local ( -0.36, 0.94, 0.31) Global ( 29.64, 30.94, 30.31) +TGeoTessellated 1363 Local ( -0.37, 0.76, 0.22) Global ( 29.63, 30.76, 30.22) +TGeoTessellated 1364 Local ( -0.41, 0.93, 0.19) Global ( 29.59, 30.93, 30.19) +TGeoTessellated 1365 Local ( -0.12, 1.34, 0.13) Global ( 29.88, 31.34, 30.13) +TGeoTessellated 1366 Local ( -0.11, 1.30, 0.36) Global ( 29.89, 31.30, 30.36) +TGeoTessellated 1367 Local ( -0.09, 0.45, -0.53) Global ( 29.91, 30.45, 29.47) +TGeoTessellated 1368 Local ( -0.07, 0.43, -0.67) Global ( 29.93, 30.43, 29.33) +TGeoTessellated 1369 Local ( -0.12, 1.45, -0.68) Global ( 29.88, 31.45, 29.32) +TGeoTessellated 1370 Local ( -0.34, 1.22, -0.48) Global ( 29.66, 31.22, 29.52) +TGeoTessellated 1371 Local ( -0.22, 1.39, -0.51) Global ( 29.78, 31.39, 29.49) +TGeoTessellated 1372 Local ( -0.35, 1.20, -0.61) Global ( 29.65, 31.20, 29.39) +TGeoTessellated 1373 Local ( -0.22, 1.38, -0.64) Global ( 29.78, 31.38, 29.36) +TGeoTessellated 1374 Local ( -0.33, 1.17, -0.01) Global ( 29.67, 31.17, 29.99) +TGeoTessellated 1375 Local ( -0.28, 1.27, -0.02) Global ( 29.72, 31.27, 29.98) +TGeoTessellated 1376 Local ( -0.33, 1.17, -0.15) Global ( 29.67, 31.17, 29.85) +TGeoTessellated 1377 Local ( -0.27, 1.28, -0.17) Global ( 29.73, 31.28, 29.83) +TGeoTessellated 1378 Local ( -0.12, 1.20, 0.87) Global ( 29.88, 31.20, 30.87) +TGeoTessellated 1379 Local ( -0.09, 1.28, 0.80) Global ( 29.91, 31.28, 30.80) +TGeoTessellated 1380 Local ( -0.23, 1.23, 0.79) Global ( 29.77, 31.23, 30.79) +TGeoTessellated 1381 Local ( -0.19, 1.27, 0.79) Global ( 29.81, 31.27, 30.79) +TGeoTessellated 1382 Local ( -0.28, 1.23, 0.67) Global ( 29.72, 31.23, 30.67) +TGeoTessellated 1383 Local ( -0.20, 1.30, 0.68) Global ( 29.80, 31.30, 30.68) +TGeoTessellated 1384 Local ( -0.28, 1.16, 0.31) Global ( 29.72, 31.16, 30.31) +TGeoTessellated 1385 Local ( -0.23, 1.26, 0.33) Global ( 29.77, 31.26, 30.33) +TGeoTessellated 1386 Local ( -0.32, 1.17, 0.16) Global ( 29.68, 31.17, 30.16) +TGeoTessellated 1387 Local ( -0.26, 1.26, 0.14) Global ( 29.74, 31.26, 30.14) +TGeoTessellated 1388 Local ( -0.41, 1.05, -0.46) Global ( 29.59, 31.05, 29.54) +TGeoTessellated 1389 Local ( -0.41, 0.91, -0.36) Global ( 29.59, 30.91, 29.64) +TGeoTessellated 1390 Local ( -0.40, 1.04, -0.29) Global ( 29.60, 31.04, 29.71) +TGeoTessellated 1391 Local ( -0.42, 0.89, -0.28) Global ( 29.58, 30.89, 29.72) +TGeoTessellated 1392 Local ( -0.39, 1.06, 0.01) Global ( 29.61, 31.06, 30.01) +TGeoTessellated 1393 Local ( -0.37, 1.06, 0.17) Global ( 29.63, 31.06, 30.17) +TGeoTessellated 1394 Local ( -0.07, 0.54, -0.88) Global ( 29.93, 30.54, 29.12) +TGeoTessellated 1395 Local ( -0.39, 0.71, -0.26) Global ( 29.61, 30.71, 29.74) +TGeoTessellated 1396 Local ( -0.35, 0.68, -0.36) Global ( 29.65, 30.68, 29.64) +TGeoTessellated 1397 Local ( -0.31, 0.60, -0.26) Global ( 29.69, 30.60, 29.74) +TGeoTessellated 1398 Local ( -0.23, 0.57, -0.37) Global ( 29.77, 30.57, 29.63) +TGeoTessellated 1399 Local ( -0.34, 0.61, 0.01) Global ( 29.66, 30.61, 30.01) +TGeoTessellated 1400 Local ( -0.32, 0.66, 0.22) Global ( 29.68, 30.66, 30.22) +TGeoTessellated 1401 Local ( -0.09, 1.34, 0.54) Global ( 29.91, 31.34, 30.54) +TGeoTessellated 1402 Local ( -0.08, 1.33, 0.67) Global ( 29.92, 31.33, 30.67) +TGeoTessellated 1403 Local ( -0.04, 1.34, 0.67) Global ( 29.96, 31.34, 30.67) +TGeoTessellated 1404 Local ( -0.21, 1.31, 0.51) Global ( 29.79, 31.31, 30.51) +TGeoTessellated 1405 Local ( -0.28, 1.22, 0.52) Global ( 29.72, 31.22, 30.52) +TGeoTessellated 1406 Local ( -0.04, 0.68, 0.46) Global ( 29.96, 30.68, 30.46) +TGeoTessellated 1407 Local ( -0.01, 0.72, 0.58) Global ( 29.99, 30.72, 30.58) +TGeoTessellated 1408 Local ( -0.24, 1.32, -0.34) Global ( 29.76, 31.32, 29.66) +TGeoTessellated 1409 Local ( -0.13, 1.37, -0.07) Global ( 29.87, 31.37, 29.93) +TGeoTessellated 1410 Local ( -0.08, 1.30, 0.78) Global ( 29.92, 31.30, 30.78) +TGeoTessellated 1411 Local ( -0.11, 0.63, 0.36) Global ( 29.89, 30.63, 30.36) +TGeoTessellated 1412 Local ( -0.22, 0.69, 0.34) Global ( 29.78, 30.69, 30.34) +TGeoTessellated 1413 Local ( -0.17, 0.53, -0.17) Global ( 29.83, 30.53, 29.83) +TGeoTessellated 1414 Local ( -0.33, 0.59, -0.15) Global ( 29.67, 30.59, 29.85) +TGeoTessellated 1415 Local ( -0.13, 0.60, -0.87) Global ( 29.87, 30.60, 29.13) +TGeoTessellated 1416 Local ( -0.19, 0.55, -0.80) Global ( 29.81, 30.55, 29.20) +TGeoTessellated 1417 Local ( -0.12, 1.42, -0.20) Global ( 29.88, 31.42, 29.80) +TGeoTessellated 1418 Local ( -0.32, 1.17, -0.32) Global ( 29.68, 31.17, 29.68) +TGeoTessellated 1419 Local ( -0.39, 1.05, -0.12) Global ( 29.61, 31.05, 29.88) +TGeoTessellated 1420 Local ( -0.33, 1.06, 0.32) Global ( 29.67, 31.06, 30.32) +TGeoTessellated 1421 Local ( -0.38, 1.06, -0.75) Global ( 29.62, 31.06, 29.25) +TGeoTessellated 1422 Local ( -0.30, 0.98, -0.87) Global ( 29.70, 30.98, 29.13) +TGeoTessellated 1423 Local ( -0.42, 1.07, -0.60) Global ( 29.58, 31.07, 29.40) +TGeoTessellated 1424 Local ( -0.12, 0.49, -0.44) Global ( 29.88, 30.49, 29.56) +TGeoTessellated 1425 Local ( -0.06, 1.26, -1.01) Global ( 29.94, 31.26, 28.99) +TGeoTessellated 1426 Local ( -0.16, 1.21, -1.01) Global ( 29.84, 31.21, 28.99) +TGeoTessellated 1427 Local ( -0.28, 0.84, -0.92) Global ( 29.72, 30.84, 29.08) +TGeoTessellated 1428 Local ( -0.19, 1.14, -1.02) Global ( 29.81, 31.14, 28.98) +TGeoTessellated 1429 Local ( -0.26, 0.76, -0.91) Global ( 29.74, 30.76, 29.09) +TGeoTessellated 1430 Local ( -0.30, 0.49, 0.59) Global ( 29.70, 30.49, 30.59) +TGeoTessellated 1431 Local ( -0.27, 0.39, 0.61) Global ( 29.73, 30.39, 30.61) +TGeoTessellated 1432 Local ( -0.29, 0.49, 0.64) Global ( 29.71, 30.49, 30.64) +TGeoTessellated 1433 Local ( -0.26, 0.39, 0.64) Global ( 29.74, 30.39, 30.64) +TGeoTessellated 1434 Local ( -0.21, 0.47, 0.72) Global ( 29.79, 30.47, 30.72) +TGeoTessellated 1435 Local ( -0.20, 0.41, 0.75) Global ( 29.80, 30.41, 30.75) +TGeoTessellated 1436 Local ( -0.17, 0.47, 0.72) Global ( 29.83, 30.47, 30.72) +TGeoTessellated 1437 Local ( -0.18, 0.41, 0.73) Global ( 29.82, 30.41, 30.73) +TGeoTessellated 1438 Local ( -0.13, 0.48, 0.69) Global ( 29.87, 30.48, 30.69) +TGeoTessellated 1439 Local ( -0.16, 0.40, 0.69) Global ( 29.84, 30.40, 30.69) +TGeoTessellated 1440 Local ( -0.12, 0.49, 0.61) Global ( 29.88, 30.49, 30.61) +TGeoTessellated 1441 Local ( -0.14, 0.40, 0.62) Global ( 29.86, 30.40, 30.62) +TGeoTessellated 1442 Local ( -0.15, 0.49, 0.56) Global ( 29.85, 30.49, 30.56) +TGeoTessellated 1443 Local ( -0.17, 0.39, 0.58) Global ( 29.83, 30.39, 30.58) +TGeoTessellated 1444 Local ( -0.21, 0.39, 0.56) Global ( 29.79, 30.39, 30.56) +TGeoTessellated 1445 Local ( -0.24, 0.39, 0.58) Global ( 29.76, 30.39, 30.58) +TGeoTessellated 1446 Local ( -0.20, 0.47, 0.53) Global ( 29.80, 30.47, 30.53) +TGeoTessellated 1447 Local ( -0.26, 0.49, 0.54) Global ( 29.74, 30.49, 30.54) +TGeoTessellated 1448 Local ( -0.35, 0.97, 0.44) Global ( 29.65, 30.97, 30.44) +TGeoTessellated 1449 Local ( -0.38, 0.85, 0.48) Global ( 29.62, 30.85, 30.48) +TGeoTessellated 1450 Local ( -0.34, 1.09, 0.54) Global ( 29.66, 31.09, 30.54) +TGeoTessellated 1451 Local ( -0.39, 0.91, 0.57) Global ( 29.61, 30.91, 30.57) +TGeoTessellated 1452 Local ( -0.25, 1.03, 0.84) Global ( 29.75, 31.03, 30.84) +TGeoTessellated 1453 Local ( -0.26, 0.86, 0.83) Global ( 29.74, 30.86, 30.83) +TGeoTessellated 1454 Local ( -0.17, 0.93, 0.88) Global ( 29.83, 30.93, 30.88) +TGeoTessellated 1455 Local ( -0.19, 0.81, 0.84) Global ( 29.81, 30.81, 30.84) +TGeoTessellated 1456 Local ( -0.09, 0.77, 0.78) Global ( 29.91, 30.77, 30.78) +TGeoTessellated 1457 Local ( -0.09, 0.73, 0.77) Global ( 29.91, 30.73, 30.77) +TGeoTessellated 1458 Local ( -0.05, 0.69, 0.58) Global ( 29.95, 30.69, 30.58) +TGeoTessellated 1459 Local ( -0.10, 0.69, 0.49) Global ( 29.90, 30.69, 30.49) +TGeoTessellated 1460 Local ( -0.03, 0.71, 0.58) Global ( 29.97, 30.71, 30.58) +TGeoTessellated 1461 Local ( -0.09, 0.70, 0.48) Global ( 29.91, 30.70, 30.48) +TGeoTessellated 1462 Local ( -0.19, 0.68, 0.41) Global ( 29.81, 30.68, 30.41) +TGeoTessellated 1463 Local ( -0.31, 0.74, 0.43) Global ( 29.69, 30.74, 30.43) +TGeoTessellated 1464 Local ( -0.19, 0.71, 0.39) Global ( 29.81, 30.71, 30.39) +TGeoTessellated 1465 Local ( -0.32, 0.83, 0.40) Global ( 29.68, 30.83, 30.40) +TGeoTessellated 1466 Local ( -0.35, 0.68, 0.61) Global ( 29.65, 30.68, 30.61) +TGeoTessellated 1467 Local ( -0.34, 0.67, 0.53) Global ( 29.66, 30.67, 30.53) +TGeoTessellated 1468 Local ( -0.17, 0.66, 0.77) Global ( 29.83, 30.66, 30.77) +TGeoTessellated 1469 Local ( -0.23, 0.67, 0.78) Global ( 29.77, 30.67, 30.78) +TGeoTessellated 1470 Local ( -0.10, 0.65, 0.74) Global ( 29.90, 30.65, 30.74) +TGeoTessellated 1471 Local ( -0.12, 0.65, 0.51) Global ( 29.88, 30.65, 30.51) +TGeoTessellated 1472 Local ( -0.07, 0.64, 0.59) Global ( 29.93, 30.64, 30.59) +TGeoTessellated 1473 Local ( -0.20, 0.61, 0.45) Global ( 29.80, 30.61, 30.45) +TGeoTessellated 1474 Local ( -0.29, 0.65, 0.47) Global ( 29.71, 30.65, 30.47) +TGeoTessellated 1475 Local ( -0.27, 0.33, 0.62) Global ( 29.73, 30.33, 30.62) +TGeoTessellated 1476 Local ( -0.26, 0.33, 0.65) Global ( 29.74, 30.33, 30.65) +TGeoTessellated 1477 Local ( -0.20, 0.34, 0.73) Global ( 29.80, 30.34, 30.73) +TGeoTessellated 1478 Local ( -0.18, 0.33, 0.71) Global ( 29.82, 30.33, 30.71) +TGeoTessellated 1479 Local ( -0.16, 0.33, 0.68) Global ( 29.84, 30.33, 30.68) +TGeoTessellated 1480 Local ( -0.15, 0.33, 0.61) Global ( 29.85, 30.33, 30.61) +TGeoTessellated 1481 Local ( -0.18, 0.33, 0.58) Global ( 29.82, 30.33, 30.58) +TGeoTessellated 1482 Local ( -0.21, 0.33, 0.58) Global ( 29.79, 30.33, 30.58) +TGeoTessellated 1483 Local ( -0.25, 0.32, 0.59) Global ( 29.75, 30.32, 30.59) +TGeoTessellated 1484 Local ( -0.28, 0.16, 0.59) Global ( 29.72, 30.16, 30.59) +TGeoTessellated 1485 Local ( -0.28, 0.16, 0.56) Global ( 29.72, 30.16, 30.56) +TGeoTessellated 1486 Local ( -0.21, 0.15, 0.67) Global ( 29.79, 30.15, 30.67) +TGeoTessellated 1487 Local ( -0.19, 0.15, 0.65) Global ( 29.81, 30.15, 30.65) +TGeoTessellated 1488 Local ( -0.17, 0.16, 0.62) Global ( 29.83, 30.16, 30.62) +TGeoTessellated 1489 Local ( -0.18, 0.16, 0.55) Global ( 29.82, 30.16, 30.55) +TGeoTessellated 1490 Local ( -0.21, 0.17, 0.53) Global ( 29.79, 30.17, 30.53) +TGeoTessellated 1491 Local ( -0.23, 0.17, 0.54) Global ( 29.77, 30.17, 30.54) +TGeoTessellated 1492 Local ( -0.25, 0.17, 0.54) Global ( 29.75, 30.17, 30.54) +TGeoTessellated 1493 Local ( -0.27, 0.16, 0.63) Global ( 29.73, 30.16, 30.63) +TGeoTessellated 1494 Local ( -0.23, 0.15, 0.66) Global ( 29.77, 30.15, 30.66) +TGeoTessellated 1495 Local ( -0.25, 0.33, 0.68) Global ( 29.75, 30.33, 30.68) +TGeoTessellated 1496 Local ( -0.23, 0.33, 0.71) Global ( 29.77, 30.33, 30.71) +TGeoTessellated 1497 Local ( -0.25, 0.40, 0.68) Global ( 29.75, 30.40, 30.68) +TGeoTessellated 1498 Local ( -0.24, 0.40, 0.72) Global ( 29.76, 30.40, 30.72) +TGeoTessellated 1499 Local ( -0.27, 0.48, 0.68) Global ( 29.73, 30.48, 30.68) +TGeoTessellated 1500 Local ( -0.25, 0.48, 0.70) Global ( 29.75, 30.48, 30.70) +TGeoTessellated 1501 Local ( -0.31, 0.69, 0.69) Global ( 29.69, 30.69, 30.69) +TGeoTessellated 1502 Local ( -0.28, 0.68, 0.76) Global ( 29.72, 30.68, 30.76) +TGeoTessellated 1503 Local ( -0.36, 0.93, 0.69) Global ( 29.64, 30.93, 30.69) +TGeoTessellated 1504 Local ( -0.31, 0.90, 0.79) Global ( 29.69, 30.90, 30.79) +TGeoTessellated 1505 Local ( -0.34, 1.11, 0.68) Global ( 29.66, 31.11, 30.68) +TGeoTessellated 1506 Local ( -0.32, 1.09, 0.76) Global ( 29.68, 31.09, 30.76) +TGeoTessellated 1507 Local ( -0.31, 0.04, 0.54) Global ( 29.69, 30.04, 30.54) +TGeoTessellated 1508 Local ( -0.31, 0.05, 0.50) Global ( 29.69, 30.05, 30.50) +TGeoTessellated 1509 Local ( -0.32, -0.00, 0.53) Global ( 29.68, 30.00, 30.53) +TGeoTessellated 1510 Local ( -0.32, -0.00, 0.49) Global ( 29.68, 30.00, 30.49) +TGeoTessellated 1511 Local ( -0.22, -0.00, 0.61) Global ( 29.78, 30.00, 30.61) +TGeoTessellated 1512 Local ( -0.19, -0.00, 0.61) Global ( 29.81, 30.00, 30.61) +TGeoTessellated 1513 Local ( -0.22, 0.03, 0.62) Global ( 29.78, 30.03, 30.62) +TGeoTessellated 1514 Local ( -0.19, 0.03, 0.61) Global ( 29.81, 30.03, 30.61) +TGeoTessellated 1515 Local ( -0.16, 0.04, 0.56) Global ( 29.84, 30.04, 30.56) +TGeoTessellated 1516 Local ( -0.15, -0.00, 0.56) Global ( 29.85, 30.00, 30.56) +TGeoTessellated 1517 Local ( -0.17, 0.05, 0.48) Global ( 29.83, 30.05, 30.48) +TGeoTessellated 1518 Local ( -0.17, -0.00, 0.46) Global ( 29.83, 30.00, 30.46) +TGeoTessellated 1519 Local ( -0.22, 0.05, 0.46) Global ( 29.78, 30.05, 30.46) +TGeoTessellated 1520 Local ( -0.22, -0.00, 0.44) Global ( 29.78, 30.00, 30.44) +TGeoTessellated 1521 Local ( -0.24, 0.05, 0.47) Global ( 29.76, 30.05, 30.47) +TGeoTessellated 1522 Local ( -0.24, -0.00, 0.47) Global ( 29.76, 30.00, 30.47) +TGeoTessellated 1523 Local ( -0.26, 0.05, 0.47) Global ( 29.74, 30.05, 30.47) +TGeoTessellated 1524 Local ( -0.27, -0.00, 0.45) Global ( 29.73, 30.00, 30.45) +TGeoTessellated 1525 Local ( -0.25, 0.04, 0.62) Global ( 29.75, 30.04, 30.62) +TGeoTessellated 1526 Local ( -0.31, 0.04, 0.58) Global ( 29.69, 30.04, 30.58) +TGeoTessellated 1527 Local ( -0.25, -0.00, 0.62) Global ( 29.75, 30.00, 30.62) +TGeoTessellated 1528 Local ( -0.31, -0.00, 0.57) Global ( 29.69, 30.00, 30.57) +TGeoTessellated 1529 Local ( -0.29, 0.08, 0.57) Global ( 29.71, 30.08, 30.57) +TGeoTessellated 1530 Local ( -0.29, 0.09, 0.52) Global ( 29.71, 30.09, 30.52) +TGeoTessellated 1531 Local ( -0.21, 0.08, 0.65) Global ( 29.79, 30.08, 30.65) +TGeoTessellated 1532 Local ( -0.19, 0.08, 0.65) Global ( 29.81, 30.08, 30.65) +TGeoTessellated 1533 Local ( -0.16, 0.08, 0.59) Global ( 29.84, 30.08, 30.59) +TGeoTessellated 1534 Local ( -0.18, 0.09, 0.51) Global ( 29.82, 30.09, 30.51) +TGeoTessellated 1535 Local ( -0.22, 0.09, 0.49) Global ( 29.78, 30.09, 30.49) +TGeoTessellated 1536 Local ( -0.24, 0.09, 0.50) Global ( 29.76, 30.09, 30.50) +TGeoTessellated 1537 Local ( -0.25, 0.09, 0.49) Global ( 29.75, 30.09, 30.49) +TGeoTessellated 1538 Local ( -0.24, 0.08, 0.65) Global ( 29.76, 30.08, 30.65) +TGeoTessellated 1539 Local ( -0.29, 0.08, 0.61) Global ( 29.71, 30.08, 30.61) +TGeoTessellated 1540 Local ( -0.28, 0.11, 0.58) Global ( 29.72, 30.11, 30.58) +TGeoTessellated 1541 Local ( -0.28, 0.12, 0.55) Global ( 29.72, 30.12, 30.55) +TGeoTessellated 1542 Local ( -0.21, 0.10, 0.68) Global ( 29.79, 30.10, 30.68) +TGeoTessellated 1543 Local ( -0.19, 0.10, 0.66) Global ( 29.81, 30.10, 30.66) +TGeoTessellated 1544 Local ( -0.16, 0.11, 0.60) Global ( 29.84, 30.11, 30.60) +TGeoTessellated 1545 Local ( -0.18, 0.12, 0.53) Global ( 29.82, 30.12, 30.53) +TGeoTessellated 1546 Local ( -0.21, 0.13, 0.52) Global ( 29.79, 30.13, 30.52) +TGeoTessellated 1547 Local ( -0.23, 0.13, 0.52) Global ( 29.77, 30.13, 30.52) +TGeoTessellated 1548 Local ( -0.25, 0.13, 0.52) Global ( 29.75, 30.13, 30.52) +TGeoTessellated 1549 Local ( -0.23, 0.10, 0.66) Global ( 29.77, 30.10, 30.66) +TGeoTessellated 1550 Local ( -0.28, 0.11, 0.62) Global ( 29.72, 30.11, 30.62) +TGeoTessellated 1551 Local ( -0.04, 0.73, 0.69) Global ( 29.96, 30.73, 30.69) +TGeoTessellated 1552 Local ( -0.05, 0.70, 0.68) Global ( 29.95, 30.70, 30.68) +TGeoTessellated 1553 Local ( -0.07, 0.65, 0.67) Global ( 29.93, 30.65, 30.67) +TGeoTessellated 1554 Local ( -0.12, 0.49, 0.65) Global ( 29.88, 30.49, 30.65) +TGeoTessellated 1555 Local ( -0.14, 0.40, 0.65) Global ( 29.86, 30.40, 30.65) +TGeoTessellated 1556 Local ( -0.14, 0.33, 0.65) Global ( 29.86, 30.33, 30.65) +TGeoTessellated 1557 Local ( -0.17, 0.16, 0.59) Global ( 29.83, 30.16, 30.59) +TGeoTessellated 1558 Local ( -0.16, 0.08, 0.55) Global ( 29.84, 30.08, 30.55) +TGeoTessellated 1559 Local ( -0.17, 0.12, 0.57) Global ( 29.83, 30.12, 30.57) +TGeoTessellated 1560 Local ( -0.15, 0.05, 0.52) Global ( 29.85, 30.05, 30.52) +TGeoTessellated 1561 Local ( -0.15, -0.00, 0.50) Global ( 29.85, 30.00, 30.50) +TGeoTessellated 1562 Local ( -0.29, 0.56, 0.68) Global ( 29.71, 30.56, 30.68) +TGeoTessellated 1563 Local ( -0.26, 0.55, 0.71) Global ( 29.74, 30.55, 30.71) +TGeoTessellated 1564 Local ( -0.22, 0.54, 0.73) Global ( 29.78, 30.54, 30.73) +TGeoTessellated 1565 Local ( -0.17, 0.54, 0.72) Global ( 29.83, 30.54, 30.72) +TGeoTessellated 1566 Local ( -0.11, 0.56, 0.71) Global ( 29.89, 30.56, 30.71) +TGeoTessellated 1567 Local ( -0.10, 0.56, 0.60) Global ( 29.90, 30.56, 30.60) +TGeoTessellated 1568 Local ( -0.13, 0.56, 0.54) Global ( 29.87, 30.56, 30.54) +TGeoTessellated 1569 Local ( -0.20, 0.53, 0.49) Global ( 29.80, 30.53, 30.49) +TGeoTessellated 1570 Local ( -0.27, 0.56, 0.51) Global ( 29.73, 30.56, 30.51) +TGeoTessellated 1571 Local ( -0.32, 0.57, 0.56) Global ( 29.68, 30.57, 30.56) +TGeoTessellated 1572 Local ( -0.31, 0.56, 0.63) Global ( 29.69, 30.56, 30.63) +TGeoTessellated 1573 Local ( -0.10, 0.56, 0.66) Global ( 29.90, 30.56, 30.66) +TGeoTessellated 1574 Local ( -0.32, 1.18, 0.67) Global ( 29.68, 31.18, 30.67) +TGeoTessellated 1575 Local ( -0.31, 1.16, 0.53) Global ( 29.69, 31.16, 30.53) +TGeoTessellated 1576 Local ( -0.33, 1.01, 0.40) Global ( 29.67, 31.01, 30.40) +TGeoTessellated 1577 Local ( -0.28, 1.16, 0.78) Global ( 29.72, 31.16, 30.78) +TGeoTessellated 1578 Local ( -0.20, 1.13, 0.85) Global ( 29.80, 31.13, 30.85) +TGeoTessellated 1579 Local ( -0.30, 0.82, 0.36) Global ( 29.70, 30.82, 30.36) +TGeoTessellated 1580 Local ( -0.11, 1.00, 0.90) Global ( 29.89, 31.00, 30.90) +TGeoTessellated 1581 Local ( -0.06, 0.83, 0.81) Global ( 29.94, 30.83, 30.81) +TGeoTessellated 1582 Local ( -0.03, 0.75, 0.69) Global ( 29.97, 30.75, 30.69) +TGeoTessellated 1583 Local ( -0.02, 0.72, 0.58) Global ( 29.98, 30.72, 30.58) +TGeoTessellated 1584 Local ( -0.07, 0.70, 0.46) Global ( 29.93, 30.70, 30.46) +TGeoTessellated 1585 Local ( -0.19, 0.72, 0.37) Global ( 29.81, 30.72, 30.37) +TGeoTessellated 1586 Local ( -0.32, 0.15, -0.61) Global ( 29.68, 30.15, 29.39) +TGeoTessellated 1587 Local ( -0.32, 0.15, -0.58) Global ( 29.68, 30.15, 29.42) +TGeoTessellated 1588 Local ( -0.32, 0.25, -0.57) Global ( 29.68, 30.25, 29.43) +TGeoTessellated 1589 Local ( -0.33, 0.24, -0.54) Global ( 29.67, 30.24, 29.46) +TGeoTessellated 1590 Local ( -0.30, 0.14, -0.55) Global ( 29.70, 30.14, 29.45) +TGeoTessellated 1591 Local ( -0.28, 0.14, -0.54) Global ( 29.72, 30.14, 29.46) +TGeoTessellated 1592 Local ( -0.31, 0.24, -0.52) Global ( 29.69, 30.24, 29.48) +TGeoTessellated 1593 Local ( -0.28, 0.24, -0.51) Global ( 29.72, 30.24, 29.49) +TGeoTessellated 1594 Local ( -0.25, 0.14, -0.55) Global ( 29.75, 30.14, 29.45) +TGeoTessellated 1595 Local ( -0.23, 0.15, -0.60) Global ( 29.77, 30.15, 29.40) +TGeoTessellated 1596 Local ( -0.25, 0.24, -0.53) Global ( 29.75, 30.24, 29.47) +TGeoTessellated 1597 Local ( -0.23, 0.24, -0.55) Global ( 29.77, 30.24, 29.45) +TGeoTessellated 1598 Local ( -0.26, 0.15, -0.65) Global ( 29.74, 30.15, 29.35) +TGeoTessellated 1599 Local ( -0.27, 0.16, -0.65) Global ( 29.73, 30.16, 29.35) +TGeoTessellated 1600 Local ( -0.26, 0.26, -0.63) Global ( 29.74, 30.26, 29.37) +TGeoTessellated 1601 Local ( -0.28, 0.26, -0.63) Global ( 29.72, 30.26, 29.37) +TGeoTessellated 1602 Local ( -0.30, 0.25, -0.61) Global ( 29.70, 30.25, 29.39) +TGeoTessellated 1603 Local ( -0.29, 0.15, -0.65) Global ( 29.71, 30.15, 29.35) +TGeoTessellated 1604 Local ( -0.32, 0.25, -0.59) Global ( 29.68, 30.25, 29.41) +TGeoTessellated 1605 Local ( -0.31, 0.15, -0.63) Global ( 29.69, 30.15, 29.37) +TGeoTessellated 1606 Local ( -0.46, 0.81, -0.60) Global ( 29.54, 30.81, 29.40) +TGeoTessellated 1607 Local ( -0.45, 0.79, -0.49) Global ( 29.55, 30.79, 29.51) +TGeoTessellated 1608 Local ( -0.44, 0.98, -0.61) Global ( 29.56, 30.98, 29.39) +TGeoTessellated 1609 Local ( -0.45, 0.93, -0.47) Global ( 29.55, 30.93, 29.53) +TGeoTessellated 1610 Local ( -0.40, 0.80, -0.41) Global ( 29.60, 30.80, 29.59) +TGeoTessellated 1611 Local ( -0.41, 0.71, -0.42) Global ( 29.59, 30.71, 29.58) +TGeoTessellated 1612 Local ( -0.34, 0.65, -0.38) Global ( 29.66, 30.65, 29.62) +TGeoTessellated 1613 Local ( -0.32, 0.60, -0.38) Global ( 29.68, 30.60, 29.62) +TGeoTessellated 1614 Local ( -0.19, 0.54, -0.45) Global ( 29.81, 30.54, 29.55) +TGeoTessellated 1615 Local ( -0.21, 0.50, -0.44) Global ( 29.79, 30.50, 29.56) +TGeoTessellated 1616 Local ( -0.13, 0.50, -0.53) Global ( 29.87, 30.50, 29.47) +TGeoTessellated 1617 Local ( -0.15, 0.46, -0.53) Global ( 29.85, 30.46, 29.47) +TGeoTessellated 1618 Local ( -0.23, 0.51, -0.75) Global ( 29.77, 30.51, 29.25) +TGeoTessellated 1619 Local ( -0.29, 0.62, -0.79) Global ( 29.71, 30.62, 29.21) +TGeoTessellated 1620 Local ( -0.27, 0.65, -0.83) Global ( 29.73, 30.65, 29.17) +TGeoTessellated 1621 Local ( -0.33, 0.78, -0.85) Global ( 29.67, 30.78, 29.15) +TGeoTessellated 1622 Local ( -0.37, 0.73, -0.78) Global ( 29.63, 30.73, 29.22) +TGeoTessellated 1623 Local ( -0.42, 0.94, -0.73) Global ( 29.58, 30.94, 29.27) +TGeoTessellated 1624 Local ( -0.43, 0.81, -0.71) Global ( 29.57, 30.81, 29.29) +TGeoTessellated 1625 Local ( -0.38, 0.39, -0.55) Global ( 29.62, 30.39, 29.45) +TGeoTessellated 1626 Local ( -0.38, 0.39, -0.51) Global ( 29.62, 30.39, 29.49) +TGeoTessellated 1627 Local ( -0.40, 0.49, -0.56) Global ( 29.60, 30.49, 29.44) +TGeoTessellated 1628 Local ( -0.41, 0.50, -0.50) Global ( 29.59, 30.50, 29.50) +TGeoTessellated 1629 Local ( -0.34, 0.38, -0.45) Global ( 29.66, 30.38, 29.55) +TGeoTessellated 1630 Local ( -0.29, 0.36, -0.42) Global ( 29.71, 30.36, 29.58) +TGeoTessellated 1631 Local ( -0.36, 0.47, -0.42) Global ( 29.64, 30.47, 29.58) +TGeoTessellated 1632 Local ( -0.31, 0.45, -0.39) Global ( 29.69, 30.45, 29.61) +TGeoTessellated 1633 Local ( -0.18, 0.38, -0.52) Global ( 29.82, 30.38, 29.48) +TGeoTessellated 1634 Local ( -0.17, 0.40, -0.52) Global ( 29.83, 30.40, 29.48) +TGeoTessellated 1635 Local ( -0.22, 0.37, -0.44) Global ( 29.78, 30.37, 29.56) +TGeoTessellated 1636 Local ( -0.22, 0.41, -0.44) Global ( 29.78, 30.41, 29.56) +TGeoTessellated 1637 Local ( -0.25, 0.38, -0.67) Global ( 29.75, 30.38, 29.33) +TGeoTessellated 1638 Local ( -0.28, 0.38, -0.66) Global ( 29.72, 30.38, 29.34) +TGeoTessellated 1639 Local ( -0.24, 0.43, -0.70) Global ( 29.76, 30.43, 29.30) +TGeoTessellated 1640 Local ( -0.29, 0.44, -0.68) Global ( 29.71, 30.44, 29.32) +TGeoTessellated 1641 Local ( -0.33, 0.38, -0.63) Global ( 29.67, 30.38, 29.37) +TGeoTessellated 1642 Local ( -0.35, 0.46, -0.65) Global ( 29.65, 30.46, 29.35) +TGeoTessellated 1643 Local ( -0.37, 0.38, -0.59) Global ( 29.63, 30.38, 29.41) +TGeoTessellated 1644 Local ( -0.39, 0.48, -0.60) Global ( 29.61, 30.48, 29.40) +TGeoTessellated 1645 Local ( -0.43, 0.65, -0.50) Global ( 29.57, 30.65, 29.50) +TGeoTessellated 1646 Local ( -0.44, 0.66, -0.58) Global ( 29.56, 30.66, 29.42) +TGeoTessellated 1647 Local ( -0.33, 0.55, -0.38) Global ( 29.67, 30.55, 29.62) +TGeoTessellated 1648 Local ( -0.39, 0.61, -0.42) Global ( 29.61, 30.61, 29.58) +TGeoTessellated 1649 Local ( -0.15, 0.45, -0.53) Global ( 29.85, 30.45, 29.47) +TGeoTessellated 1650 Local ( -0.21, 0.48, -0.44) Global ( 29.79, 30.48, 29.56) +TGeoTessellated 1651 Local ( -0.23, 0.49, -0.73) Global ( 29.77, 30.49, 29.27) +TGeoTessellated 1652 Local ( -0.29, 0.56, -0.75) Global ( 29.71, 30.56, 29.25) +TGeoTessellated 1653 Local ( -0.35, 0.59, -0.72) Global ( 29.65, 30.59, 29.28) +TGeoTessellated 1654 Local ( -0.40, 0.64, -0.66) Global ( 29.60, 30.64, 29.34) +TGeoTessellated 1655 Local ( -0.14, 0.49, -0.73) Global ( 29.86, 30.49, 29.27) +TGeoTessellated 1656 Local ( -0.13, 0.48, -0.64) Global ( 29.87, 30.48, 29.36) +TGeoTessellated 1657 Local ( -0.16, 0.46, -0.71) Global ( 29.84, 30.46, 29.29) +TGeoTessellated 1658 Local ( -0.15, 0.46, -0.63) Global ( 29.85, 30.46, 29.37) +TGeoTessellated 1659 Local ( -0.17, 0.45, -0.69) Global ( 29.83, 30.45, 29.31) +TGeoTessellated 1660 Local ( -0.16, 0.45, -0.62) Global ( 29.84, 30.45, 29.38) +TGeoTessellated 1661 Local ( -0.19, 0.41, -0.65) Global ( 29.81, 30.41, 29.35) +TGeoTessellated 1662 Local ( -0.17, 0.40, -0.60) Global ( 29.83, 30.40, 29.40) +TGeoTessellated 1663 Local ( -0.20, 0.38, -0.65) Global ( 29.80, 30.38, 29.35) +TGeoTessellated 1664 Local ( -0.18, 0.38, -0.60) Global ( 29.82, 30.38, 29.40) +TGeoTessellated 1665 Local ( -0.24, 0.15, -0.64) Global ( 29.76, 30.15, 29.36) +TGeoTessellated 1666 Local ( -0.24, 0.26, -0.61) Global ( 29.76, 30.26, 29.39) +TGeoTessellated 1667 Local ( -0.23, 0.15, -0.63) Global ( 29.77, 30.15, 29.37) +TGeoTessellated 1668 Local ( -0.23, 0.25, -0.60) Global ( 29.77, 30.25, 29.40) +TGeoTessellated 1669 Local ( -0.35, 0.31, -0.55) Global ( 29.65, 30.31, 29.45) +TGeoTessellated 1670 Local ( -0.36, 0.31, -0.51) Global ( 29.64, 30.31, 29.49) +TGeoTessellated 1671 Local ( -0.34, 0.31, -0.49) Global ( 29.66, 30.31, 29.51) +TGeoTessellated 1672 Local ( -0.28, 0.30, -0.46) Global ( 29.72, 30.30, 29.54) +TGeoTessellated 1673 Local ( -0.24, 0.30, -0.49) Global ( 29.76, 30.30, 29.51) +TGeoTessellated 1674 Local ( -0.20, 0.30, -0.53) Global ( 29.80, 30.30, 29.47) +TGeoTessellated 1675 Local ( -0.25, 0.33, -0.64) Global ( 29.75, 30.33, 29.36) +TGeoTessellated 1676 Local ( -0.28, 0.33, -0.64) Global ( 29.72, 30.33, 29.36) +TGeoTessellated 1677 Local ( -0.32, 0.32, -0.61) Global ( 29.68, 30.32, 29.39) +TGeoTessellated 1678 Local ( -0.34, 0.32, -0.58) Global ( 29.66, 30.32, 29.42) +TGeoTessellated 1679 Local ( -0.20, 0.31, -0.60) Global ( 29.80, 30.31, 29.40) +TGeoTessellated 1680 Local ( -0.22, 0.33, -0.64) Global ( 29.78, 30.33, 29.36) +TGeoTessellated 1681 Local ( -0.35, 0.04, -0.67) Global ( 29.65, 30.04, 29.33) +TGeoTessellated 1682 Local ( -0.33, 0.04, -0.71) Global ( 29.67, 30.04, 29.29) +TGeoTessellated 1683 Local ( -0.35, 0.00, -0.70) Global ( 29.65, 30.00, 29.30) +TGeoTessellated 1684 Local ( -0.33, -0.00, -0.73) Global ( 29.67, 30.00, 29.27) +TGeoTessellated 1685 Local ( -0.32, 0.03, -0.59) Global ( 29.68, 30.03, 29.41) +TGeoTessellated 1686 Local ( -0.34, 0.04, -0.63) Global ( 29.66, 30.04, 29.37) +TGeoTessellated 1687 Local ( -0.34, 0.00, -0.62) Global ( 29.66, 30.00, 29.38) +TGeoTessellated 1688 Local ( -0.35, 0.00, -0.66) Global ( 29.65, 30.00, 29.34) +TGeoTessellated 1689 Local ( -0.24, 0.03, -0.60) Global ( 29.76, 30.03, 29.40) +TGeoTessellated 1690 Local ( -0.28, 0.03, -0.58) Global ( 29.72, 30.03, 29.42) +TGeoTessellated 1691 Local ( -0.22, 0.00, -0.61) Global ( 29.78, 30.00, 29.39) +TGeoTessellated 1692 Local ( -0.28, 0.00, -0.59) Global ( 29.72, 30.00, 29.41) +TGeoTessellated 1693 Local ( -0.20, 0.04, -0.68) Global ( 29.80, 30.04, 29.32) +TGeoTessellated 1694 Local ( -0.21, 0.04, -0.63) Global ( 29.79, 30.04, 29.37) +TGeoTessellated 1695 Local ( -0.19, 0.00, -0.70) Global ( 29.81, 30.00, 29.30) +TGeoTessellated 1696 Local ( -0.20, 0.00, -0.64) Global ( 29.80, 30.00, 29.36) +TGeoTessellated 1697 Local ( -0.29, 0.05, -0.73) Global ( 29.71, 30.05, 29.27) +TGeoTessellated 1698 Local ( -0.27, 0.04, -0.72) Global ( 29.73, 30.04, 29.28) +TGeoTessellated 1699 Local ( -0.30, -0.00, -0.75) Global ( 29.70, 30.00, 29.25) +TGeoTessellated 1700 Local ( -0.27, 0.00, -0.74) Global ( 29.73, 30.00, 29.26) +TGeoTessellated 1701 Local ( -0.25, 0.05, -0.73) Global ( 29.75, 30.05, 29.27) +TGeoTessellated 1702 Local ( -0.22, 0.05, -0.73) Global ( 29.78, 30.05, 29.27) +TGeoTessellated 1703 Local ( -0.25, 0.00, -0.76) Global ( 29.75, 30.00, 29.24) +TGeoTessellated 1704 Local ( -0.21, 0.00, -0.74) Global ( 29.79, 30.00, 29.26) +TGeoTessellated 1705 Local ( -0.33, 0.28, -0.56) Global ( 29.67, 30.28, 29.44) +TGeoTessellated 1706 Local ( -0.33, 0.27, -0.54) Global ( 29.67, 30.27, 29.46) +TGeoTessellated 1707 Local ( -0.32, 0.27, -0.51) Global ( 29.68, 30.27, 29.49) +TGeoTessellated 1708 Local ( -0.28, 0.27, -0.50) Global ( 29.72, 30.27, 29.50) +TGeoTessellated 1709 Local ( -0.25, 0.27, -0.52) Global ( 29.75, 30.27, 29.48) +TGeoTessellated 1710 Local ( -0.22, 0.27, -0.55) Global ( 29.78, 30.27, 29.45) +TGeoTessellated 1711 Local ( -0.26, 0.29, -0.62) Global ( 29.74, 30.29, 29.38) +TGeoTessellated 1712 Local ( -0.28, 0.29, -0.62) Global ( 29.72, 30.29, 29.38) +TGeoTessellated 1713 Local ( -0.31, 0.28, -0.61) Global ( 29.69, 30.28, 29.39) +TGeoTessellated 1714 Local ( -0.32, 0.28, -0.59) Global ( 29.68, 30.28, 29.41) +TGeoTessellated 1715 Local ( -0.22, 0.28, -0.59) Global ( 29.78, 30.28, 29.41) +TGeoTessellated 1716 Local ( -0.23, 0.28, -0.61) Global ( 29.77, 30.28, 29.39) +TGeoTessellated 1717 Local ( -0.34, 0.08, -0.65) Global ( 29.66, 30.08, 29.35) +TGeoTessellated 1718 Local ( -0.32, 0.08, -0.69) Global ( 29.68, 30.08, 29.31) +TGeoTessellated 1719 Local ( -0.31, 0.07, -0.57) Global ( 29.69, 30.07, 29.43) +TGeoTessellated 1720 Local ( -0.34, 0.08, -0.60) Global ( 29.66, 30.08, 29.40) +TGeoTessellated 1721 Local ( -0.24, 0.07, -0.57) Global ( 29.76, 30.07, 29.43) +TGeoTessellated 1722 Local ( -0.28, 0.06, -0.56) Global ( 29.72, 30.06, 29.44) +TGeoTessellated 1723 Local ( -0.21, 0.08, -0.67) Global ( 29.79, 30.08, 29.33) +TGeoTessellated 1724 Local ( -0.21, 0.08, -0.62) Global ( 29.79, 30.08, 29.38) +TGeoTessellated 1725 Local ( -0.29, 0.08, -0.70) Global ( 29.71, 30.08, 29.30) +TGeoTessellated 1726 Local ( -0.27, 0.08, -0.71) Global ( 29.73, 30.08, 29.29) +TGeoTessellated 1727 Local ( -0.26, 0.08, -0.71) Global ( 29.74, 30.08, 29.29) +TGeoTessellated 1728 Local ( -0.23, 0.08, -0.70) Global ( 29.77, 30.08, 29.30) +TGeoTessellated 1729 Local ( -0.33, 0.11, -0.63) Global ( 29.67, 30.11, 29.37) +TGeoTessellated 1730 Local ( -0.31, 0.11, -0.66) Global ( 29.69, 30.11, 29.34) +TGeoTessellated 1731 Local ( -0.31, 0.09, -0.55) Global ( 29.69, 30.09, 29.45) +TGeoTessellated 1732 Local ( -0.33, 0.11, -0.59) Global ( 29.67, 30.11, 29.41) +TGeoTessellated 1733 Local ( -0.25, 0.09, -0.55) Global ( 29.75, 30.09, 29.45) +TGeoTessellated 1734 Local ( -0.28, 0.09, -0.53) Global ( 29.72, 30.09, 29.47) +TGeoTessellated 1735 Local ( -0.22, 0.11, -0.65) Global ( 29.78, 30.11, 29.35) +TGeoTessellated 1736 Local ( -0.22, 0.11, -0.61) Global ( 29.78, 30.11, 29.39) +TGeoTessellated 1737 Local ( -0.29, 0.11, -0.67) Global ( 29.71, 30.11, 29.33) +TGeoTessellated 1738 Local ( -0.27, 0.11, -0.68) Global ( 29.73, 30.11, 29.32) +TGeoTessellated 1739 Local ( -0.26, 0.11, -0.68) Global ( 29.74, 30.11, 29.32) +TGeoTessellated 1740 Local ( -0.23, 0.11, -0.67) Global ( 29.77, 30.11, 29.33) +TGeoTessellated 1741 Local ( -0.22, 0.69, -0.89) Global ( 29.78, 30.69, 29.11) +TGeoTessellated 1742 Local ( -0.08, 1.31, 0.75) Global ( 29.92, 31.31, 30.75) +TGeoTessellated 1743 Local ( -0.05, 1.29, 0.75) Global ( 29.95, 31.29, 30.75) +TGeoTessellated 1744 Local ( -0.03, 1.28, 0.78) Global ( 29.97, 31.28, 30.78) +TGeoTessellated 1745 Local ( -0.02, 1.30, 1.58) Global ( 29.98, 31.30, 31.58) +TGeoTessellated 1746 Local ( -0.01, 1.31, 1.58) Global ( 29.99, 31.31, 31.58) +TGeoTessellated 1747 Local ( -0.01, 1.29, 1.58) Global ( 29.99, 31.29, 31.58) +TGeoTessellated 1748 Local ( -0.03, 1.34, 0.73) Global ( 29.97, 31.34, 30.73) +TGeoTessellated 1749 Local ( -0.06, 1.32, 0.73) Global ( 29.94, 31.32, 30.73) +TGeoTessellated 1750 Local ( -0.03, 1.33, 0.81) Global ( 29.97, 31.33, 30.81) +TGeoTessellated 1751 Local ( -0.04, 1.30, 0.81) Global ( 29.96, 31.30, 30.81) +TGeoTessellated 1752 Local ( -0.03, 1.27, 0.81) Global ( 29.97, 31.27, 30.81) +TGeoTessellated 1753 Local ( -0.03, 1.30, 1.25) Global ( 29.97, 31.30, 31.25) +TGeoTessellated 1754 Local ( -0.02, 1.32, 1.25) Global ( 29.98, 31.32, 31.25) +TGeoTessellated 1755 Local ( -0.03, 1.30, 1.17) Global ( 29.97, 31.30, 31.17) +TGeoTessellated 1756 Local ( -0.02, 1.32, 1.17) Global ( 29.98, 31.32, 31.17) +TGeoTessellated 1757 Local ( -0.02, 1.28, 1.25) Global ( 29.98, 31.28, 31.25) +TGeoTessellated 1758 Local ( -0.02, 1.27, 1.17) Global ( 29.98, 31.27, 31.17) +TGeoTessellated 1759 Local ( -0.02, 1.30, 1.52) Global ( 29.98, 31.30, 31.52) +TGeoTessellated 1760 Local ( -0.01, 1.31, 1.52) Global ( 29.99, 31.31, 31.52) +TGeoTessellated 1761 Local ( -0.03, 1.30, 1.44) Global ( 29.97, 31.30, 31.44) +TGeoTessellated 1762 Local ( -0.02, 1.32, 1.44) Global ( 29.98, 31.32, 31.44) +TGeoTessellated 1763 Local ( -0.01, 1.28, 1.52) Global ( 29.99, 31.28, 31.52) +TGeoTessellated 1764 Local ( -0.02, 1.28, 1.44) Global ( 29.98, 31.28, 31.44) +TGeoTessellated 1765 Local ( -0.03, 1.30, 1.08) Global ( 29.97, 31.30, 31.08) +TGeoTessellated 1766 Local ( -0.02, 1.32, 1.08) Global ( 29.98, 31.32, 31.08) +TGeoTessellated 1767 Local ( -0.03, 1.30, 0.99) Global ( 29.97, 31.30, 30.99) +TGeoTessellated 1768 Local ( -0.02, 1.32, 0.99) Global ( 29.98, 31.32, 30.99) +TGeoTessellated 1769 Local ( -0.02, 1.27, 1.08) Global ( 29.98, 31.27, 31.08) +TGeoTessellated 1770 Local ( -0.02, 1.27, 0.99) Global ( 29.98, 31.27, 30.99) +TGeoTessellated 1771 Local ( -0.03, 1.30, 1.35) Global ( 29.97, 31.30, 31.35) +TGeoTessellated 1772 Local ( -0.02, 1.32, 1.35) Global ( 29.98, 31.32, 31.35) +TGeoTessellated 1773 Local ( -0.02, 1.28, 1.35) Global ( 29.98, 31.28, 31.35) +TGeoTessellated 1774 Local ( -0.04, 1.30, 0.91) Global ( 29.96, 31.30, 30.91) +TGeoTessellated 1775 Local ( -0.03, 1.32, 0.91) Global ( 29.97, 31.32, 30.91) +TGeoTessellated 1776 Local ( -0.02, 1.27, 0.91) Global ( 29.98, 31.27, 30.91) +TGeoTessellated 1777 Local ( -0.00, 0.45, -1.25) Global ( 30.00, 30.45, 28.75) +TGeoTessellated 1778 Local ( -0.03, 0.59, -1.19) Global ( 29.97, 30.59, 28.81) +TGeoTessellated 1779 Local ( -0.02, 0.48, -1.17) Global ( 29.98, 30.48, 28.83) +TGeoTessellated 1780 Local ( -0.04, 0.62, -1.07) Global ( 29.96, 30.62, 28.93) +TGeoTessellated 1781 Local ( -0.03, 0.49, -1.05) Global ( 29.97, 30.49, 28.95) +TGeoTessellated 1782 Local ( -0.05, 0.61, -0.98) Global ( 29.95, 30.61, 29.02) +TGeoTessellated 1783 Local ( -0.04, 0.47, -0.99) Global ( 29.96, 30.47, 29.01) +TGeoTessellated 1784 Local ( -0.05, 0.58, -0.92) Global ( 29.95, 30.58, 29.08) +TGeoTessellated 1785 Local ( -0.04, 0.45, -0.92) Global ( 29.96, 30.45, 29.08) +TGeoTessellated 1786 Local ( -0.07, 0.54, -0.88) Global ( 29.93, 30.54, 29.12) +TGeoTessellated 1787 Local ( -0.04, 0.43, -0.87) Global ( 29.96, 30.43, 29.13) +TGeoTessellated 1788 Local ( -0.08, 0.50, -0.81) Global ( 29.92, 30.50, 29.19) +TGeoTessellated 1789 Local ( -0.04, 0.41, -0.81) Global ( 29.96, 30.41, 29.19) +TGeoTessellated 1790 Local ( -0.08, 0.46, -0.74) Global ( 29.92, 30.46, 29.26) +TGeoTessellated 1791 Local ( -0.04, 0.38, -0.74) Global ( 29.96, 30.38, 29.26) +TGeoTessellated 1792 Local ( -0.04, 0.35, -0.67) Global ( 29.96, 30.35, 29.33) +TGeoTessellated 1793 Local ( -0.09, 0.45, -0.53) Global ( 29.91, 30.45, 29.47) +TGeoTessellated 1794 Local ( -0.04, 0.32, -0.52) Global ( 29.96, 30.32, 29.48) +TGeoTessellated 1795 Local ( -0.12, 0.49, -0.44) Global ( 29.88, 30.49, 29.56) +TGeoTessellated 1796 Local ( -0.04, 0.34, -0.42) Global ( 29.96, 30.34, 29.58) +TGeoTessellated 1797 Local ( -0.04, 0.38, -0.34) Global ( 29.96, 30.38, 29.66) +TGeoTessellated 1798 Local ( -0.14, 0.52, -0.37) Global ( 29.86, 30.52, 29.63) +TGeoTessellated 1799 Local ( -0.16, 0.54, -0.27) Global ( 29.84, 30.54, 29.73) +TGeoTessellated 1800 Local ( -0.05, 0.40, -0.27) Global ( 29.95, 30.40, 29.73) +TGeoTessellated 1801 Local ( -0.17, 0.53, -0.17) Global ( 29.83, 30.53, 29.83) +TGeoTessellated 1802 Local ( -0.01, 0.45, -0.01) Global ( 29.99, 30.45, 29.99) +TGeoTessellated 1803 Local ( -0.04, 0.41, -0.18) Global ( 29.96, 30.41, 29.82) +TGeoTessellated 1804 Local ( 0.00, 0.43, -1.25) Global ( 30.00, 30.43, 28.75) +TGeoTessellated 1805 Local ( 0.00, 0.44, -1.16) Global ( 30.00, 30.44, 28.84) +TGeoTessellated 1806 Local ( 0.00, 0.61, -1.06) Global ( 30.00, 30.61, 28.94) +TGeoTessellated 1807 Local ( 0.00, 0.44, -1.05) Global ( 30.00, 30.44, 28.95) +TGeoTessellated 1808 Local ( 0.00, 0.43, -0.99) Global ( 30.00, 30.43, 29.01) +TGeoTessellated 1809 Local ( 0.00, 0.42, -0.93) Global ( 30.00, 30.42, 29.07) +TGeoTessellated 1810 Local ( 0.00, 0.40, -0.88) Global ( 30.00, 30.40, 29.12) +TGeoTessellated 1811 Local ( 0.00, 0.37, -0.82) Global ( 30.00, 30.37, 29.18) +TGeoTessellated 1812 Local ( 0.00, 0.34, -0.74) Global ( 30.00, 30.34, 29.26) +TGeoTessellated 1813 Local ( 0.00, 0.32, -0.68) Global ( 30.00, 30.32, 29.32) +TGeoTessellated 1814 Local ( 0.00, 0.29, -0.52) Global ( 30.00, 30.29, 29.48) +TGeoTessellated 1815 Local ( 0.00, 0.32, -0.42) Global ( 30.00, 30.32, 29.58) +TGeoTessellated 1816 Local ( 0.00, 0.34, -0.34) Global ( 30.00, 30.34, 29.66) +TGeoTessellated 1817 Local ( 0.00, 0.37, -0.28) Global ( 30.00, 30.37, 29.72) +TGeoTessellated 1818 Local ( 0.00, 0.50, -0.18) Global ( 30.00, 30.50, 29.82) +TGeoTessellated 1819 Local ( 0.00, 0.38, -0.18) Global ( 30.00, 30.38, 29.82) +TGeoTessellated 1820 Local ( 0.00, 0.42, -0.00) Global ( 30.00, 30.42, 30.00) +TGeoTessellated 1821 Local ( -0.00, 1.34, 1.33) Global ( 30.00, 31.34, 31.33) +TGeoTessellated 1822 Local ( -0.00, 1.33, 1.19) Global ( 30.00, 31.33, 31.19) +TGeoTessellated 1823 Local ( -0.03, 1.33, 1.32) Global ( 29.97, 31.33, 31.32) +TGeoTessellated 1824 Local ( -0.02, 1.32, 1.19) Global ( 29.98, 31.32, 31.19) +TGeoTessellated 1825 Local ( -0.03, 1.30, 1.19) Global ( 29.97, 31.30, 31.19) +TGeoTessellated 1826 Local ( -0.04, 1.31, 1.33) Global ( 29.96, 31.31, 31.33) +TGeoTessellated 1827 Local ( -0.03, 1.33, 1.33) Global ( 29.97, 31.33, 31.33) +TGeoTessellated 1828 Local ( -0.02, 1.32, 1.19) Global ( 29.98, 31.32, 31.19) +TGeoTessellated 1829 Local ( -0.04, 1.30, 1.32) Global ( 29.96, 31.30, 31.32) +TGeoTessellated 1830 Local ( -0.03, 1.30, 1.19) Global ( 29.97, 31.30, 31.19) +TGeoTessellated 1831 Local ( -0.02, 1.27, 1.19) Global ( 29.98, 31.27, 31.19) +TGeoTessellated 1832 Local ( -0.03, 1.27, 1.33) Global ( 29.97, 31.27, 31.33) +TGeoTessellated 1833 Local ( -0.00, 1.35, 1.41) Global ( 30.00, 31.35, 31.41) +TGeoTessellated 1834 Local ( -0.00, 1.33, 1.28) Global ( 30.00, 31.33, 31.28) +TGeoTessellated 1835 Local ( -0.03, 1.34, 1.41) Global ( 29.97, 31.34, 31.41) +TGeoTessellated 1836 Local ( -0.02, 1.32, 1.28) Global ( 29.98, 31.32, 31.28) +TGeoTessellated 1837 Local ( -0.03, 1.30, 1.28) Global ( 29.97, 31.30, 31.28) +TGeoTessellated 1838 Local ( -0.05, 1.31, 1.41) Global ( 29.95, 31.31, 31.41) +TGeoTessellated 1839 Local ( -0.03, 1.33, 1.41) Global ( 29.97, 31.33, 31.41) +TGeoTessellated 1840 Local ( -0.02, 1.32, 1.28) Global ( 29.98, 31.32, 31.28) +TGeoTessellated 1841 Local ( -0.04, 1.30, 1.41) Global ( 29.96, 31.30, 31.41) +TGeoTessellated 1842 Local ( -0.03, 1.30, 1.28) Global ( 29.97, 31.30, 31.28) +TGeoTessellated 1843 Local ( -0.02, 1.27, 1.28) Global ( 29.98, 31.27, 31.28) +TGeoTessellated 1844 Local ( -0.03, 1.27, 1.41) Global ( 29.97, 31.27, 31.41) +TGeoTessellated 1845 Local ( -0.00, 1.35, 1.46) Global ( 30.00, 31.35, 31.46) +TGeoTessellated 1846 Local ( -0.00, 1.33, 1.35) Global ( 30.00, 31.33, 31.35) +TGeoTessellated 1847 Local ( -0.03, 1.34, 1.45) Global ( 29.97, 31.34, 31.45) +TGeoTessellated 1848 Local ( -0.02, 1.32, 1.35) Global ( 29.98, 31.32, 31.35) +TGeoTessellated 1849 Local ( -0.03, 1.30, 1.35) Global ( 29.97, 31.30, 31.35) +TGeoTessellated 1850 Local ( -0.04, 1.31, 1.46) Global ( 29.96, 31.31, 31.46) +TGeoTessellated 1851 Local ( -0.04, 1.33, 1.46) Global ( 29.96, 31.33, 31.46) +TGeoTessellated 1852 Local ( -0.02, 1.32, 1.35) Global ( 29.98, 31.32, 31.35) +TGeoTessellated 1853 Local ( -0.04, 1.30, 1.45) Global ( 29.96, 31.30, 31.45) +TGeoTessellated 1854 Local ( -0.03, 1.30, 1.35) Global ( 29.97, 31.30, 31.35) +TGeoTessellated 1855 Local ( -0.02, 1.28, 1.35) Global ( 29.98, 31.28, 31.35) +TGeoTessellated 1856 Local ( -0.04, 1.26, 1.46) Global ( 29.96, 31.26, 31.46) +TGeoTessellated 1857 Local ( -0.00, 1.35, 1.50) Global ( 30.00, 31.35, 31.50) +TGeoTessellated 1858 Local ( -0.00, 1.33, 1.39) Global ( 30.00, 31.33, 31.39) +TGeoTessellated 1859 Local ( -0.03, 1.34, 1.50) Global ( 29.97, 31.34, 31.50) +TGeoTessellated 1860 Local ( -0.02, 1.32, 1.39) Global ( 29.98, 31.32, 31.39) +TGeoTessellated 1861 Local ( -0.03, 1.30, 1.39) Global ( 29.97, 31.30, 31.39) +TGeoTessellated 1862 Local ( -0.04, 1.31, 1.50) Global ( 29.96, 31.31, 31.50) +TGeoTessellated 1863 Local ( -0.03, 1.33, 1.50) Global ( 29.97, 31.33, 31.50) +TGeoTessellated 1864 Local ( -0.02, 1.32, 1.39) Global ( 29.98, 31.32, 31.39) +TGeoTessellated 1865 Local ( -0.04, 1.30, 1.50) Global ( 29.96, 31.30, 31.50) +TGeoTessellated 1866 Local ( -0.03, 1.30, 1.39) Global ( 29.97, 31.30, 31.39) +TGeoTessellated 1867 Local ( -0.02, 1.28, 1.39) Global ( 29.98, 31.28, 31.39) +TGeoTessellated 1868 Local ( -0.03, 1.26, 1.50) Global ( 29.97, 31.26, 31.50) +TGeoTessellated 1869 Local ( -0.03, 1.33, 1.54) Global ( 29.97, 31.33, 31.54) +TGeoTessellated 1870 Local ( -0.02, 1.32, 1.44) Global ( 29.98, 31.32, 31.44) +TGeoTessellated 1871 Local ( -0.04, 1.30, 1.53) Global ( 29.96, 31.30, 31.53) +TGeoTessellated 1872 Local ( -0.03, 1.30, 1.44) Global ( 29.97, 31.30, 31.44) +TGeoTessellated 1873 Local ( -0.02, 1.28, 1.44) Global ( 29.98, 31.28, 31.44) +TGeoTessellated 1874 Local ( -0.03, 1.26, 1.54) Global ( 29.97, 31.26, 31.54) +TGeoTessellated 1875 Local ( -0.00, 1.34, 1.54) Global ( 30.00, 31.34, 31.54) +TGeoTessellated 1876 Local ( -0.00, 1.32, 1.44) Global ( 30.00, 31.32, 31.44) +TGeoTessellated 1877 Local ( -0.03, 1.33, 1.53) Global ( 29.97, 31.33, 31.53) +TGeoTessellated 1878 Local ( -0.02, 1.32, 1.44) Global ( 29.98, 31.32, 31.44) +TGeoTessellated 1879 Local ( -0.02, 1.29, 1.44) Global ( 29.98, 31.29, 31.44) +TGeoTessellated 1880 Local ( -0.04, 1.30, 1.54) Global ( 29.96, 31.30, 31.54) +TGeoTessellated 1881 Local ( -0.03, 1.33, 1.57) Global ( 29.97, 31.33, 31.57) +TGeoTessellated 1882 Local ( -0.02, 1.32, 1.48) Global ( 29.98, 31.32, 31.48) +TGeoTessellated 1883 Local ( -0.03, 1.30, 1.57) Global ( 29.97, 31.30, 31.57) +TGeoTessellated 1884 Local ( -0.03, 1.30, 1.48) Global ( 29.97, 31.30, 31.48) +TGeoTessellated 1885 Local ( -0.02, 1.28, 1.48) Global ( 29.98, 31.28, 31.48) +TGeoTessellated 1886 Local ( -0.03, 1.27, 1.57) Global ( 29.97, 31.27, 31.57) +TGeoTessellated 1887 Local ( -0.00, 1.34, 1.57) Global ( 30.00, 31.34, 31.57) +TGeoTessellated 1888 Local ( -0.00, 1.32, 1.48) Global ( 30.00, 31.32, 31.48) +TGeoTessellated 1889 Local ( -0.02, 1.33, 1.57) Global ( 29.98, 31.33, 31.57) +TGeoTessellated 1890 Local ( -0.02, 1.32, 1.48) Global ( 29.98, 31.32, 31.48) +TGeoTessellated 1891 Local ( -0.02, 1.29, 1.48) Global ( 29.98, 31.29, 31.48) +TGeoTessellated 1892 Local ( -0.03, 1.30, 1.57) Global ( 29.97, 31.30, 31.57) +TGeoTessellated 1893 Local ( -0.02, 1.32, 1.60) Global ( 29.98, 31.32, 31.60) +TGeoTessellated 1894 Local ( -0.01, 1.31, 1.52) Global ( 29.99, 31.31, 31.52) +TGeoTessellated 1895 Local ( -0.03, 1.30, 1.60) Global ( 29.97, 31.30, 31.60) +TGeoTessellated 1896 Local ( -0.02, 1.30, 1.52) Global ( 29.98, 31.30, 31.52) +TGeoTessellated 1897 Local ( -0.01, 1.28, 1.52) Global ( 29.99, 31.28, 31.52) +TGeoTessellated 1898 Local ( -0.02, 1.27, 1.60) Global ( 29.98, 31.27, 31.60) +TGeoTessellated 1899 Local ( -0.00, 1.33, 1.60) Global ( 30.00, 31.33, 31.60) +TGeoTessellated 1900 Local ( -0.00, 1.32, 1.52) Global ( 30.00, 31.32, 31.52) +TGeoTessellated 1901 Local ( -0.02, 1.32, 1.60) Global ( 29.98, 31.32, 31.60) +TGeoTessellated 1902 Local ( -0.01, 1.31, 1.52) Global ( 29.99, 31.31, 31.52) +TGeoTessellated 1903 Local ( -0.02, 1.30, 1.52) Global ( 29.98, 31.30, 31.52) +TGeoTessellated 1904 Local ( -0.03, 1.30, 1.60) Global ( 29.97, 31.30, 31.60) +TGeoTessellated 1905 Local ( -0.00, 1.32, 1.61) Global ( 30.00, 31.32, 31.61) +TGeoTessellated 1906 Local ( -0.00, 1.31, 1.58) Global ( 30.00, 31.31, 31.58) +TGeoTessellated 1907 Local ( -0.01, 1.31, 1.61) Global ( 29.99, 31.31, 31.61) +TGeoTessellated 1908 Local ( -0.01, 1.31, 1.58) Global ( 29.99, 31.31, 31.58) +TGeoTessellated 1909 Local ( -0.02, 1.30, 1.58) Global ( 29.98, 31.30, 31.58) +TGeoTessellated 1910 Local ( -0.02, 1.30, 1.61) Global ( 29.98, 31.30, 31.61) +TGeoTessellated 1911 Local ( -0.01, 1.31, 1.61) Global ( 29.99, 31.31, 31.61) +TGeoTessellated 1912 Local ( -0.00, 1.31, 1.58) Global ( 30.00, 31.31, 31.58) +TGeoTessellated 1913 Local ( -0.02, 1.30, 1.61) Global ( 29.98, 31.30, 31.61) +TGeoTessellated 1914 Local ( -0.02, 1.30, 1.58) Global ( 29.98, 31.30, 31.58) +TGeoTessellated 1915 Local ( -0.01, 1.29, 1.58) Global ( 29.99, 31.29, 31.58) +TGeoTessellated 1916 Local ( -0.01, 1.28, 1.61) Global ( 29.99, 31.28, 31.61) +TGeoTessellated 1917 Local ( -0.02, 1.27, 1.19) Global ( 29.98, 31.27, 31.19) +TGeoTessellated 1918 Local ( -0.00, 1.26, 1.19) Global ( 30.00, 31.26, 31.19) +TGeoTessellated 1919 Local ( -0.03, 1.26, 1.32) Global ( 29.97, 31.26, 31.32) +TGeoTessellated 1920 Local ( -0.00, 1.25, 1.33) Global ( 30.00, 31.25, 31.33) +TGeoTessellated 1921 Local ( -0.04, 1.29, 1.33) Global ( 29.96, 31.29, 31.33) +TGeoTessellated 1922 Local ( -0.03, 1.30, 1.19) Global ( 29.97, 31.30, 31.19) +TGeoTessellated 1923 Local ( -0.02, 1.27, 1.28) Global ( 29.98, 31.27, 31.28) +TGeoTessellated 1924 Local ( -0.00, 1.27, 1.28) Global ( 30.00, 31.27, 31.28) +TGeoTessellated 1925 Local ( -0.03, 1.26, 1.41) Global ( 29.97, 31.26, 31.41) +TGeoTessellated 1926 Local ( -0.00, 1.25, 1.41) Global ( 30.00, 31.25, 31.41) +TGeoTessellated 1927 Local ( -0.05, 1.29, 1.41) Global ( 29.95, 31.29, 31.41) +TGeoTessellated 1928 Local ( -0.03, 1.30, 1.28) Global ( 29.97, 31.30, 31.28) +TGeoTessellated 1929 Local ( -0.02, 1.28, 1.35) Global ( 29.98, 31.28, 31.35) +TGeoTessellated 1930 Local ( -0.00, 1.27, 1.35) Global ( 30.00, 31.27, 31.35) +TGeoTessellated 1931 Local ( -0.03, 1.26, 1.45) Global ( 29.97, 31.26, 31.45) +TGeoTessellated 1932 Local ( -0.00, 1.25, 1.46) Global ( 30.00, 31.25, 31.46) +TGeoTessellated 1933 Local ( -0.04, 1.29, 1.46) Global ( 29.96, 31.29, 31.46) +TGeoTessellated 1934 Local ( -0.03, 1.30, 1.35) Global ( 29.97, 31.30, 31.35) +TGeoTessellated 1935 Local ( -0.02, 1.28, 1.39) Global ( 29.98, 31.28, 31.39) +TGeoTessellated 1936 Local ( -0.00, 1.27, 1.39) Global ( 30.00, 31.27, 31.39) +TGeoTessellated 1937 Local ( -0.03, 1.26, 1.50) Global ( 29.97, 31.26, 31.50) +TGeoTessellated 1938 Local ( -0.00, 1.25, 1.50) Global ( 30.00, 31.25, 31.50) +TGeoTessellated 1939 Local ( -0.04, 1.29, 1.50) Global ( 29.96, 31.29, 31.50) +TGeoTessellated 1940 Local ( -0.03, 1.30, 1.39) Global ( 29.97, 31.30, 31.39) +TGeoTessellated 1941 Local ( -0.02, 1.28, 1.44) Global ( 29.98, 31.28, 31.44) +TGeoTessellated 1942 Local ( -0.00, 1.27, 1.44) Global ( 30.00, 31.27, 31.44) +TGeoTessellated 1943 Local ( -0.03, 1.26, 1.53) Global ( 29.97, 31.26, 31.53) +TGeoTessellated 1944 Local ( -0.00, 1.25, 1.54) Global ( 30.00, 31.25, 31.54) +TGeoTessellated 1945 Local ( -0.04, 1.30, 1.54) Global ( 29.96, 31.30, 31.54) +TGeoTessellated 1946 Local ( -0.02, 1.30, 1.44) Global ( 29.98, 31.30, 31.44) +TGeoTessellated 1947 Local ( -0.02, 1.28, 1.48) Global ( 29.98, 31.28, 31.48) +TGeoTessellated 1948 Local ( -0.00, 1.27, 1.48) Global ( 30.00, 31.27, 31.48) +TGeoTessellated 1949 Local ( -0.02, 1.27, 1.57) Global ( 29.98, 31.27, 31.57) +TGeoTessellated 1950 Local ( -0.00, 1.26, 1.57) Global ( 30.00, 31.26, 31.57) +TGeoTessellated 1951 Local ( -0.03, 1.30, 1.57) Global ( 29.97, 31.30, 31.57) +TGeoTessellated 1952 Local ( -0.02, 1.30, 1.48) Global ( 29.98, 31.30, 31.48) +TGeoTessellated 1953 Local ( -0.01, 1.28, 1.52) Global ( 29.99, 31.28, 31.52) +TGeoTessellated 1954 Local ( -0.00, 1.27, 1.52) Global ( 30.00, 31.27, 31.52) +TGeoTessellated 1955 Local ( -0.02, 1.27, 1.60) Global ( 29.98, 31.27, 31.60) +TGeoTessellated 1956 Local ( -0.00, 1.26, 1.60) Global ( 30.00, 31.26, 31.60) +TGeoTessellated 1957 Local ( -0.03, 1.29, 1.60) Global ( 29.97, 31.29, 31.60) +TGeoTessellated 1958 Local ( -0.02, 1.30, 1.52) Global ( 29.98, 31.30, 31.52) +TGeoTessellated 1959 Local ( -0.01, 1.29, 1.58) Global ( 29.99, 31.29, 31.58) +TGeoTessellated 1960 Local ( -0.00, 1.28, 1.58) Global ( 30.00, 31.28, 31.58) +TGeoTessellated 1961 Local ( -0.01, 1.28, 1.61) Global ( 29.99, 31.28, 31.61) +TGeoTessellated 1962 Local ( -0.00, 1.28, 1.61) Global ( 30.00, 31.28, 31.61) +TGeoTessellated 1963 Local ( -0.02, 1.29, 1.61) Global ( 29.98, 31.29, 31.61) +TGeoTessellated 1964 Local ( -0.02, 1.30, 1.58) Global ( 29.98, 31.30, 31.58) +TGeoTessellated 1965 Local ( -0.17, 0.94, -1.37) Global ( 29.83, 30.94, 28.63) +TGeoTessellated 1966 Local ( -0.18, 0.92, -1.36) Global ( 29.82, 30.92, 28.64) +TGeoTessellated 1967 Local ( -0.17, 0.94, -1.36) Global ( 29.83, 30.94, 28.64) +TGeoTessellated 1968 Local ( -0.16, 0.93, -1.38) Global ( 29.84, 30.93, 28.62) +TGeoTessellated 1969 Local ( -0.16, 0.92, -1.38) Global ( 29.84, 30.92, 28.62) +TGeoTessellated 1970 Local ( -0.16, 0.90, -1.38) Global ( 29.84, 30.90, 28.62) +TGeoTessellated 1971 Local ( -0.17, 0.89, -1.37) Global ( 29.83, 30.89, 28.63) +TGeoTessellated 1972 Local ( -0.17, 0.89, -1.36) Global ( 29.83, 30.89, 28.64) +TGeoTessellated 1973 Local ( -0.18, 0.89, -1.35) Global ( 29.82, 30.89, 28.65) +TGeoTessellated 1974 Local ( -0.18, 0.90, -1.34) Global ( 29.82, 30.90, 28.66) +TGeoTessellated 1975 Local ( -0.19, 0.92, -1.34) Global ( 29.81, 30.92, 28.66) +TGeoTessellated 1976 Local ( -0.18, 0.93, -1.34) Global ( 29.82, 30.93, 28.66) +TGeoTessellated 1977 Local ( -0.18, 0.94, -1.35) Global ( 29.82, 30.94, 28.65) +TGeoTessellated 1978 Local ( -0.16, 0.96, -1.35) Global ( 29.84, 30.96, 28.65) +TGeoTessellated 1979 Local ( -0.15, 0.95, -1.37) Global ( 29.85, 30.95, 28.63) +TGeoTessellated 1980 Local ( -0.14, 0.94, -1.38) Global ( 29.86, 30.94, 28.62) +TGeoTessellated 1981 Local ( -0.14, 0.92, -1.39) Global ( 29.86, 30.92, 28.61) +TGeoTessellated 1982 Local ( -0.14, 0.90, -1.38) Global ( 29.86, 30.90, 28.62) +TGeoTessellated 1983 Local ( -0.15, 0.88, -1.37) Global ( 29.85, 30.88, 28.63) +TGeoTessellated 1984 Local ( -0.16, 0.87, -1.35) Global ( 29.84, 30.87, 28.65) +TGeoTessellated 1985 Local ( -0.17, 0.88, -1.33) Global ( 29.83, 30.88, 28.67) +TGeoTessellated 1986 Local ( -0.18, 0.90, -1.32) Global ( 29.82, 30.90, 28.68) +TGeoTessellated 1987 Local ( -0.18, 0.92, -1.31) Global ( 29.82, 30.92, 28.69) +TGeoTessellated 1988 Local ( -0.18, 0.94, -1.32) Global ( 29.82, 30.94, 28.68) +TGeoTessellated 1989 Local ( -0.17, 0.95, -1.33) Global ( 29.83, 30.95, 28.67) +TGeoTessellated 1990 Local ( -0.14, 0.97, -1.34) Global ( 29.86, 30.97, 28.66) +TGeoTessellated 1991 Local ( -0.12, 0.96, -1.36) Global ( 29.88, 30.96, 28.64) +TGeoTessellated 1992 Local ( -0.12, 0.94, -1.37) Global ( 29.88, 30.94, 28.63) +TGeoTessellated 1993 Local ( -0.11, 0.92, -1.38) Global ( 29.89, 30.92, 28.62) +TGeoTessellated 1994 Local ( -0.12, 0.89, -1.37) Global ( 29.88, 30.89, 28.63) +TGeoTessellated 1995 Local ( -0.12, 0.87, -1.36) Global ( 29.88, 30.87, 28.64) +TGeoTessellated 1996 Local ( -0.14, 0.87, -1.34) Global ( 29.86, 30.87, 28.66) +TGeoTessellated 1997 Local ( -0.15, 0.87, -1.32) Global ( 29.85, 30.87, 28.68) +TGeoTessellated 1998 Local ( -0.16, 0.89, -1.30) Global ( 29.84, 30.89, 28.70) +TGeoTessellated 1999 Local ( -0.16, 0.92, -1.30) Global ( 29.84, 30.92, 28.70) +TGeoTessellated 2000 Local ( -0.16, 0.94, -1.30) Global ( 29.84, 30.94, 28.70) +TGeoTessellated 2001 Local ( -0.15, 0.96, -1.32) Global ( 29.85, 30.96, 28.68) +TGeoTessellated 2002 Local ( -0.25, 1.18, -1.45) Global ( 29.75, 31.18, 28.55) +TGeoTessellated 2003 Local ( -0.26, 1.17, -1.43) Global ( 29.74, 31.17, 28.57) +TGeoTessellated 2004 Local ( -0.26, 1.17, -1.43) Global ( 29.74, 31.17, 28.57) +TGeoTessellated 2005 Local ( -0.26, 1.17, -1.43) Global ( 29.74, 31.17, 28.57) +TGeoTessellated 2006 Local ( -0.26, 1.17, -1.44) Global ( 29.74, 31.17, 28.56) +TGeoTessellated 2007 Local ( -0.27, 1.17, -1.44) Global ( 29.73, 31.17, 28.56) +TGeoTessellated 2008 Local ( -0.27, 1.17, -1.44) Global ( 29.73, 31.17, 28.56) +TGeoTessellated 2009 Local ( -0.27, 1.18, -1.44) Global ( 29.73, 31.18, 28.56) +TGeoTessellated 2010 Local ( -0.27, 1.18, -1.44) Global ( 29.73, 31.18, 28.56) +TGeoTessellated 2011 Local ( -0.26, 1.18, -1.43) Global ( 29.74, 31.18, 28.57) +TGeoTessellated 2012 Local ( -0.26, 1.18, -1.43) Global ( 29.74, 31.18, 28.57) +TGeoTessellated 2013 Local ( -0.28, 1.15, -1.38) Global ( 29.72, 31.15, 28.62) +TGeoTessellated 2014 Local ( -0.28, 1.16, -1.38) Global ( 29.72, 31.16, 28.62) +TGeoTessellated 2015 Local ( -0.28, 1.14, -1.36) Global ( 29.72, 31.14, 28.64) +TGeoTessellated 2016 Local ( -0.28, 1.15, -1.36) Global ( 29.72, 31.15, 28.64) +TGeoTessellated 2017 Local ( -0.28, 1.14, -1.39) Global ( 29.72, 31.14, 28.61) +TGeoTessellated 2018 Local ( -0.28, 1.12, -1.37) Global ( 29.72, 31.12, 28.63) +TGeoTessellated 2019 Local ( -0.29, 1.14, -1.40) Global ( 29.71, 31.14, 28.60) +TGeoTessellated 2020 Local ( -0.29, 1.12, -1.38) Global ( 29.71, 31.12, 28.62) +TGeoTessellated 2021 Local ( -0.29, 1.14, -1.41) Global ( 29.71, 31.14, 28.59) +TGeoTessellated 2022 Local ( -0.30, 1.12, -1.38) Global ( 29.70, 31.12, 28.62) +TGeoTessellated 2023 Local ( -0.30, 1.15, -1.41) Global ( 29.70, 31.15, 28.59) +TGeoTessellated 2024 Local ( -0.31, 1.12, -1.38) Global ( 29.69, 31.12, 28.62) +TGeoTessellated 2025 Local ( -0.30, 1.16, -1.41) Global ( 29.70, 31.16, 28.59) +TGeoTessellated 2026 Local ( -0.32, 1.13, -1.38) Global ( 29.68, 31.13, 28.62) +TGeoTessellated 2027 Local ( -0.30, 1.16, -1.40) Global ( 29.70, 31.16, 28.60) +TGeoTessellated 2028 Local ( -0.32, 1.15, -1.37) Global ( 29.68, 31.15, 28.63) +TGeoTessellated 2029 Local ( -0.30, 1.17, -1.39) Global ( 29.70, 31.17, 28.61) +TGeoTessellated 2030 Local ( -0.31, 1.15, -1.36) Global ( 29.69, 31.15, 28.64) +TGeoTessellated 2031 Local ( -0.29, 1.16, -1.39) Global ( 29.71, 31.16, 28.61) +TGeoTessellated 2032 Local ( -0.30, 1.15, -1.36) Global ( 29.70, 31.15, 28.64) +TGeoTessellated 2033 Local ( -0.27, 1.13, -1.34) Global ( 29.73, 31.13, 28.66) +TGeoTessellated 2034 Local ( -0.28, 1.13, -1.33) Global ( 29.72, 31.13, 28.67) +TGeoTessellated 2035 Local ( -0.27, 1.11, -1.35) Global ( 29.73, 31.11, 28.65) +TGeoTessellated 2036 Local ( -0.27, 1.10, -1.36) Global ( 29.73, 31.10, 28.64) +TGeoTessellated 2037 Local ( -0.29, 1.09, -1.36) Global ( 29.71, 31.09, 28.64) +TGeoTessellated 2038 Local ( -0.30, 1.09, -1.35) Global ( 29.70, 31.09, 28.65) +TGeoTessellated 2039 Local ( -0.31, 1.10, -1.34) Global ( 29.69, 31.10, 28.66) +TGeoTessellated 2040 Local ( -0.32, 1.11, -1.33) Global ( 29.68, 31.11, 28.67) +TGeoTessellated 2041 Local ( -0.31, 1.12, -1.33) Global ( 29.69, 31.12, 28.67) +TGeoTessellated 2042 Local ( -0.29, 1.13, -1.33) Global ( 29.71, 31.13, 28.67) +TGeoTessellated 2043 Local ( -0.25, 1.12, -1.32) Global ( 29.75, 31.12, 28.68) +TGeoTessellated 2044 Local ( -0.27, 1.12, -1.31) Global ( 29.73, 31.12, 28.69) +TGeoTessellated 2045 Local ( -0.24, 1.11, -1.31) Global ( 29.76, 31.11, 28.69) +TGeoTessellated 2046 Local ( -0.26, 1.11, -1.29) Global ( 29.74, 31.11, 28.71) +TGeoTessellated 2047 Local ( -0.25, 1.10, -1.34) Global ( 29.75, 31.10, 28.66) +TGeoTessellated 2048 Local ( -0.23, 1.10, -1.32) Global ( 29.77, 31.10, 28.68) +TGeoTessellated 2049 Local ( -0.25, 1.09, -1.34) Global ( 29.75, 31.09, 28.66) +TGeoTessellated 2050 Local ( -0.23, 1.09, -1.33) Global ( 29.77, 31.09, 28.67) +TGeoTessellated 2051 Local ( -0.27, 1.07, -1.35) Global ( 29.73, 31.07, 28.65) +TGeoTessellated 2052 Local ( -0.23, 1.06, -1.33) Global ( 29.77, 31.06, 28.67) +TGeoTessellated 2053 Local ( -0.29, 1.07, -1.34) Global ( 29.71, 31.07, 28.66) +TGeoTessellated 2054 Local ( -0.24, 1.05, -1.32) Global ( 29.76, 31.05, 28.68) +TGeoTessellated 2055 Local ( -0.30, 1.08, -1.33) Global ( 29.70, 31.08, 28.67) +TGeoTessellated 2056 Local ( -0.25, 1.05, -1.30) Global ( 29.75, 31.05, 28.70) +TGeoTessellated 2057 Local ( -0.31, 1.09, -1.32) Global ( 29.69, 31.09, 28.68) +TGeoTessellated 2058 Local ( -0.27, 1.06, -1.29) Global ( 29.73, 31.06, 28.71) +TGeoTessellated 2059 Local ( -0.30, 1.10, -1.31) Global ( 29.70, 31.10, 28.69) +TGeoTessellated 2060 Local ( -0.27, 1.08, -1.28) Global ( 29.73, 31.08, 28.72) +TGeoTessellated 2061 Local ( -0.29, 1.12, -1.30) Global ( 29.71, 31.12, 28.70) +TGeoTessellated 2062 Local ( -0.27, 1.10, -1.28) Global ( 29.73, 31.10, 28.72) +TGeoTessellated 2063 Local ( -0.34, 1.07, -1.16) Global ( 29.66, 31.07, 28.84) +TGeoTessellated 2064 Local ( -0.36, 1.06, -1.16) Global ( 29.64, 31.06, 28.84) +TGeoTessellated 2065 Local ( -0.36, 1.09, -1.13) Global ( 29.64, 31.09, 28.87) +TGeoTessellated 2066 Local ( -0.37, 1.08, -1.13) Global ( 29.63, 31.08, 28.87) +TGeoTessellated 2067 Local ( -0.27, 1.02, -1.18) Global ( 29.73, 31.02, 28.82) +TGeoTessellated 2068 Local ( -0.29, 0.99, -1.18) Global ( 29.71, 30.99, 28.82) +TGeoTessellated 2069 Local ( -0.28, 1.03, -1.19) Global ( 29.72, 31.03, 28.81) +TGeoTessellated 2070 Local ( -0.31, 1.01, -1.18) Global ( 29.69, 31.01, 28.82) +TGeoTessellated 2071 Local ( -0.29, 1.03, -1.17) Global ( 29.71, 31.03, 28.83) +TGeoTessellated 2072 Local ( -0.29, 1.03, -1.14) Global ( 29.71, 31.03, 28.86) +TGeoTessellated 2073 Local ( -0.31, 1.06, -1.16) Global ( 29.69, 31.06, 28.84) +TGeoTessellated 2074 Local ( -0.31, 1.06, -1.14) Global ( 29.69, 31.06, 28.86) +TGeoTessellated 2075 Local ( -0.28, 1.01, -1.09) Global ( 29.72, 31.01, 28.91) +TGeoTessellated 2076 Local ( -0.27, 1.00, -1.09) Global ( 29.73, 31.00, 28.91) +TGeoTessellated 2077 Local ( -0.26, 1.03, -1.10) Global ( 29.74, 31.03, 28.90) +TGeoTessellated 2078 Local ( -0.25, 1.02, -1.11) Global ( 29.75, 31.02, 28.89) +TGeoTessellated 2079 Local ( -0.24, 1.04, -1.15) Global ( 29.76, 31.04, 28.85) +TGeoTessellated 2080 Local ( -0.25, 1.03, -1.17) Global ( 29.75, 31.03, 28.83) +TGeoTessellated 2081 Local ( -0.25, 1.05, -1.15) Global ( 29.75, 31.05, 28.85) +TGeoTessellated 2082 Local ( -0.26, 1.04, -1.17) Global ( 29.74, 31.04, 28.83) +TGeoTessellated 2083 Local ( -0.31, 1.08, -1.14) Global ( 29.69, 31.08, 28.86) +TGeoTessellated 2084 Local ( -0.31, 1.07, -1.16) Global ( 29.69, 31.07, 28.84) +TGeoTessellated 2085 Local ( -0.25, 1.04, -1.13) Global ( 29.75, 31.04, 28.87) +TGeoTessellated 2086 Local ( -0.24, 1.04, -1.13) Global ( 29.76, 31.04, 28.87) +TGeoTessellated 2087 Local ( -0.26, 1.00, -1.15) Global ( 29.74, 31.00, 28.85) +TGeoTessellated 2088 Local ( -0.27, 1.00, -1.16) Global ( 29.73, 31.00, 28.84) +TGeoTessellated 2089 Local ( -0.36, 1.06, -1.16) Global ( 29.64, 31.06, 28.84) +TGeoTessellated 2090 Local ( -0.36, 1.08, -1.13) Global ( 29.64, 31.08, 28.87) +TGeoTessellated 2091 Local ( -0.31, 1.01, -1.18) Global ( 29.69, 31.01, 28.82) +TGeoTessellated 2092 Local ( -0.28, 0.99, -1.17) Global ( 29.72, 30.99, 28.83) +TGeoTessellated 2093 Local ( -0.27, 1.00, -1.11) Global ( 29.73, 31.00, 28.89) +TGeoTessellated 2094 Local ( -0.29, 1.02, -1.10) Global ( 29.71, 31.02, 28.90) +TGeoTessellated 2095 Local ( -0.29, 1.03, -1.11) Global ( 29.71, 31.03, 28.89) +TGeoTessellated 2096 Local ( -0.26, 1.00, -1.12) Global ( 29.74, 31.00, 28.88) +TGeoTessellated 2097 Local ( -0.31, 1.06, -1.11) Global ( 29.69, 31.06, 28.89) +TGeoTessellated 2098 Local ( -0.35, 1.07, -1.11) Global ( 29.65, 31.07, 28.89) +TGeoTessellated 2099 Local ( -0.35, 1.07, -1.10) Global ( 29.65, 31.07, 28.90) +TGeoTessellated 2100 Local ( -0.33, 1.08, -1.11) Global ( 29.67, 31.08, 28.89) +TGeoTessellated 2101 Local ( -0.30, 1.07, -1.12) Global ( 29.70, 31.07, 28.88) +TGeoTessellated 2102 Local ( -0.31, 1.04, -1.09) Global ( 29.69, 31.04, 28.91) +TGeoTessellated 2103 Local ( -0.31, 1.04, -1.09) Global ( 29.69, 31.04, 28.91) +TGeoTessellated 2104 Local ( -0.34, 1.07, -1.12) Global ( 29.66, 31.07, 28.88) +TGeoTessellated 2105 Local ( -0.35, 1.08, -1.13) Global ( 29.65, 31.08, 28.87) +TGeoTessellated 2106 Local ( -0.34, 1.07, -1.15) Global ( 29.66, 31.07, 28.85) +TGeoTessellated 2107 Local ( -0.33, 1.04, -1.17) Global ( 29.67, 31.04, 28.83) +TGeoTessellated 2108 Local ( -0.33, 1.03, -1.18) Global ( 29.67, 31.03, 28.82) +TGeoTessellated 2109 Local ( -0.30, 1.05, -1.18) Global ( 29.70, 31.05, 28.82) +TGeoTessellated 2110 Local ( -0.27, 1.05, -1.17) Global ( 29.73, 31.05, 28.83) +TGeoTessellated 2111 Local ( -0.26, 1.06, -1.15) Global ( 29.74, 31.06, 28.85) +TGeoTessellated 2112 Local ( -0.26, 1.06, -1.12) Global ( 29.74, 31.06, 28.88) +TGeoTessellated 2113 Local ( -0.29, 1.05, -1.10) Global ( 29.71, 31.05, 28.90) +TGeoTessellated 2114 Local ( -0.26, 0.98, -1.17) Global ( 29.74, 30.98, 28.83) +TGeoTessellated 2115 Local ( -0.26, 0.99, -1.12) Global ( 29.74, 30.99, 28.88) +TGeoTessellated 2116 Local ( -0.26, 0.98, -1.15) Global ( 29.74, 30.98, 28.85) +TGeoTessellated Bounding box: dx= 0.46 dy= 0.76 dz= 1.62 Origin: x= 0.00 y= 0.76 z= 0.00 diff --git a/examples/DDCMS/CMakeLists.txt b/examples/DDCMS/CMakeLists.txt index 12acee372..eda773331 100644 --- a/examples/DDCMS/CMakeLists.txt +++ b/examples/DDCMS/CMakeLists.txt @@ -46,12 +46,17 @@ dd4hep_configure_output () # If need arises, this can be changed easily. # #---DDCMS plugin library ------------------------------------------------------- -dd4hep_add_plugin ( DDCMS SOURCES src/*.cpp src/plugins/*.cpp - USES DD4hep::DDParsers DD4hep::DDCore DD4hep::DDAlign DD4hep::DDCond ROOT::Core ROOT::Geom ROOT::GenVector CLHEP::CLHEP +dd4hep_add_plugin ( DDCMS + SOURCES src/*.cpp src/plugins/*.cpp + USES DD4hep::DDCore DD4hep::DDAlign DD4hep::DDCond + ROOT::Core ROOT::Geom ROOT::GenVector CLHEP::CLHEP ) -install(TARGETS DDCMS LIBRARY DESTINATION lib) target_include_directories(DDCMS PUBLIC include) +# +# +install(TARGETS DDCMS LIBRARY DESTINATION lib) install(DIRECTORY include/DDCMS DESTINATION include) +# #---Package installation procedure(s) ----------------------------------------- install(DIRECTORY data eve scripts DESTINATION ${CMAKE_INSTALL_PREFIX}/examples/DDCMS ) # diff --git a/examples/DDCMS/include/DDCMS/DDShapes.h b/examples/DDCMS/include/DDCMS/DDShapes.h new file mode 100644 index 000000000..8f7208e16 --- /dev/null +++ b/examples/DDCMS/include/DDCMS/DDShapes.h @@ -0,0 +1,106 @@ +//========================================================================== +// AIDA Detector description implementation +//-------------------------------------------------------------------------- +// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) +// All rights reserved. +// +// For the licensing terms see $DD4hepINSTALL/LICENSE. +// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. +// +// Author : M.Frank +// +//========================================================================== +// +// DDCMS is a detector description convention developed by the CMS experiment. +// +//========================================================================== +#ifndef DD4HEP_DDCMS_DDSHAPES_H +#define DD4HEP_DDCMS_DDSHAPES_H + +// Framework includes +#include <DD4hep/Shapes.h> + +/// C/C++ include files +#include <vector> + +/// Namespace for the AIDA detector description toolkit +namespace dd4hep { + + /// Namespace of DDCMS conversion namespace + namespace cms { + + /// Class describing a box shape + /** + * \author M.Frank + * \version 1.0 + * \ingroup DD4HEP_EXAMPLES + */ + class DDBox : public Solid_type<TGeoBBox> { + public: + /// Default constructor + DDBox() = default; + /// Move constructor + DDBox(DDBox&& e) = default; + /// Copy constructor + DDBox(const DDBox& e) = default; + /// Constructor to be used with an existing object + template <typename Q> DDBox(const Q* p) : Solid_type<TGeoBBox>(p) { } + /// Copy Constructor to be used with an existing object handle + template <typename Q> DDBox(const Handle<Q>& e) : Solid_type<TGeoBBox>(e) { } + /// Optional: special constructor with object creation + DDBox(const std::string& nam, double dx, double dy, double dz); + + /// Move Assignment operator + DDBox& operator=(DDBox&& copy) = default; + /// Copy Assignment operator + DDBox& operator=(const DDBox& copy) = default; + /// Access half "length" of the box + double halfX() const { return access()->GetDX(); } + /// Access half "width" of the box + double halfY() const { return access()->GetDY(); } + /// Access half "depth" of the box + double halfZ() const { return access()->GetDZ(); } + }; + + /// Class describing a polycone shape + /** + * + * \author M.Frank + * \version 1.0 + * \ingroup DD4HEP_EXAMPLES + */ + class DDPolycone : public Solid_type<TGeoPcon> { + public: + /// Default constructor + DDPolycone() = default; + /// Move Constructor + DDPolycone(DDPolycone&& e) = default; + /// Copy Constructor + DDPolycone(const DDPolycone& e) = default; + /// Constructor to be used with an existing object + template <typename Q> DDPolycone(const Q* p) : Solid_type<Object>(p) { } + /// Constructor to be used when passing an already created object + template <typename Q> DDPolycone(const Handle<Q>& e) : Solid_type<Object>(e) { } + + /// Optional: special constructor with object creation + DDPolycone(const std::string& nam, + double start_phi, double delta_phi, + const std::vector<double>& z, + const std::vector<double>& rmin, + const std::vector<double>& rmax); + + /// Move Assignment operator + DDPolycone& operator=(DDPolycone&& copy) = default; + /// Copy Assignment operator + DDPolycone& operator=(const DDPolycone& copy) = default; + + double startPhi() const; + double deltaPhi() const; + std::vector<double> zVec() const; + std::vector<double> rMinVec() const; + std::vector<double> rMaxVec() const; + }; + + } /* End namespace cms */ +} /* End namespace dd4hep */ +#endif /* DD4HEP_DDCMS_DDSHAPES_H */ diff --git a/examples/DDCMS/src/DDCMS.cpp b/examples/DDCMS/src/DDCMS.cpp index bc1261213..9526686b8 100644 --- a/examples/DDCMS/src/DDCMS.cpp +++ b/examples/DDCMS/src/DDCMS.cpp @@ -19,7 +19,7 @@ #include "DD4hep/Path.h" #include "DD4hep/Printout.h" #include "DD4hep/Detector.h" -#include "DD4hep/BasicGrammar.h" +#include "DD4hep/Grammar.h" #include "DDCMS/DDCMS.h" #include <TClass.h> diff --git a/examples/DDCMS/src/DDShapes.cpp b/examples/DDCMS/src/DDShapes.cpp new file mode 100644 index 000000000..00b9c7e37 --- /dev/null +++ b/examples/DDCMS/src/DDShapes.cpp @@ -0,0 +1,68 @@ +//========================================================================== +// AIDA Detector description implementation +//-------------------------------------------------------------------------- +// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) +// All rights reserved. +// +// For the licensing terms see $DD4hepINSTALL/LICENSE. +// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. +// +// Author : M.Frank +// +//========================================================================== +// +// DDCMS is a detector description convention developed by the CMS experiment. +// +//========================================================================== + +// Framework include files +#include <DDCMS/DDShapes.h> +#include <DD4hep/DD4hepUnits.h> + +using namespace dd4hep::cms; +namespace units = dd4hep; + + +/// Optional: special constructor with object creation +DDBox::DDBox(const std::string& nam, double dx, double dy, double dz) { + m_element = dd4hep::Box(nam, dx, dy, dz).ptr(); +} + +/// Optional: special constructor with object creation +DDPolycone::DDPolycone(const std::string& nam, + double start_phi, double delta_phi, + const std::vector<double>& z, + const std::vector<double>& rmin, + const std::vector<double>& rmax) +{ + dd4hep::Polycone pcone(nam, start_phi, delta_phi); + pcone.addZPlanes(rmin, rmax, z); + m_element = pcone.ptr(); +} + +double DDPolycone::startPhi() const { + return access()->GetPhi1()*units::deg/units::rad; +} + +double DDPolycone::deltaPhi() const { + return access()->GetDphi()*units::deg/units::rad; +} + +std::vector<double> DDPolycone::zVec() const { + const auto* p = access(); + const double* v = p->GetZ(); + return {v, v+p->GetNz()}; +} + +std::vector<double> DDPolycone::rMinVec() const { + const auto* p = access(); + const double* v = p->GetRmin(); + return {v, v+p->GetNz()}; +} + +std::vector<double> DDPolycone::rMaxVec() const { + const auto* p = access(); + const double* v = p->GetRmax(); + return {v, v+p->GetNz()}; +} + diff --git a/examples/DDCMS/src/plugins/DDShapeTest.cpp b/examples/DDCMS/src/plugins/DDShapeTest.cpp new file mode 100644 index 000000000..7cdf3c96c --- /dev/null +++ b/examples/DDCMS/src/plugins/DDShapeTest.cpp @@ -0,0 +1,99 @@ +//========================================================================== +// AIDA Detector description implementation +//-------------------------------------------------------------------------- +// Copyright (C) Organisation europeenne pour la Recherche nucleaire (CERN) +// All rights reserved. +// +// For the licensing terms see $DD4hepINSTALL/LICENSE. +// For the list of contributors see $DD4hepINSTALL/doc/CREDITS. +// +// Author : M.Frank +// +//========================================================================== +// +// Specialized generic detector constructor +// +//========================================================================== +#include <DD4hep/World.h> +#include <DD4hep/Detector.h> +#include <DD4hep/DetFactoryHelper.h> +#include <DD4hep/GeoHandler.h> +#include <DD4hep/Printout.h> +#include <DDCMS/DDShapes.h> + +#include "TClass.h" + +#include <sstream> + +/// Namespace for the AIDA detector description toolkit +namespace dd4hep { + + /// Namespace for implementation details of the AIDA detector description toolkit + namespace cms { + + /// Geometry to screen dump action + /** + * \author M.Frank + * \version 1.0 + * \ingroup DD4HEP_CORE + */ + class ShapeDump: public detail::GeoHandler { + public: + ShapeDump() = default; + /// Standard destructor + virtual ~ShapeDump() = default; + /// Dump solid in GDML format to output stream + virtual void* handleSolid(const std::string& name, const TGeoShape* volume) const; + }; + } // End namespace detail +} // End namespace dd4hep + +/// Dump solid in GDML format to output stream +void* dd4hep::cms::ShapeDump::handleSolid(const std::string& name, const TGeoShape* shape) const { + if (shape) { + Solid solid(shape); + Box box = solid; // Every shape implements a TGeoBBox + if (shape->IsA() == TGeoCompositeShape::Class()) { + } + else { + const TClass* isa = shape->IsA(); + cms::DDBox ddbox = solid; + + if (isa == TGeoBBox::Class()) { + printout(INFO, "ShapeDump","Got shape '%s' of type:%-16s -> DDBox:%p dx:%7.2f [cm] dy:%7.2f [cm] dz:%7.2f [cm]", + name.c_str(), isa->GetName(), ddbox.ptr(), ddbox.halfX(), ddbox.halfY(), ddbox.halfZ()); + } + else if (isa == TGeoTube::Class()) { + } + else if (isa == TGeoTubeSeg::Class()) { + } + else if (isa == TGeoTrd1::Class()) { + } + else if (isa == TGeoTrd2::Class()) { + } + else if (isa == TGeoPgon::Class()) { + printout(INFO, "ShapeDump","Got shape '%s' of type:%-16s -> DDBox:%p dx:%7.2f [cm] dy:%7.2f [cm] dz:%7.2f [cm]", + name.c_str(), isa->GetName(), ddbox.ptr(), ddbox.halfX(), ddbox.halfY(), ddbox.halfZ()); + } + else if (isa == TGeoPcon::Class()) { + cms::DDPolycone pcon = box; + printout(INFO, "ShapeDump","Got shape '%s' of type:%-16s", name.c_str(), isa->GetName()); + printout(INFO, "ShapeDump"," DDBox: %p dx:%7.2f [cm] dy:%7.2f [cm] dz:%7.2f [cm]", + ddbox.ptr(), ddbox.halfX(), ddbox.halfY(), ddbox.halfZ()); + printout(INFO, "ShapeDump"," DDPolycone:%p phi-start: %7.2f [rad] delta:%7.2f [rad] zplanes: N_z:%ld N_rmin:%ld N_rmax:%ld", + pcon.ptr(), pcon.startPhi(), pcon.deltaPhi(), pcon.zVec().size(), pcon.rMinVec().size(), pcon.rMaxVec().size()); + } + } + } + return 0; +} + +static long exec_ShapeDump(dd4hep::Detector& description, int, char**) { + dd4hep::cms::ShapeDump dmp; + dd4hep::detail::GeoHandlerTypes::GeometryInfo geo; + dmp.collect(description.world(), geo); + for (const auto s : geo.solids ) + dmp.handleSolid(s->GetName(), s); + return 1; +} +DECLARE_APPLY(DDCMS_DDShapeDump,exec_ShapeDump) diff --git a/examples/DDDB/include/DDDB/DDDBConversion.h b/examples/DDDB/include/DDDB/DDDBConversion.h index 913c218e0..63c273862 100644 --- a/examples/DDDB/include/DDDB/DDDBConversion.h +++ b/examples/DDDB/include/DDDB/DDDBConversion.h @@ -20,9 +20,9 @@ #define DD4HEP_DDDB_DDDBCONVERSION_H /// Framework include files -#include "DD4hep/Objects.h" -#include "DD4hep/ConditionsData.h" -#include "DDDB/DDDBReaderContext.h" +#include <DD4hep/Objects.h> +#include <DD4hep/ConditionsData.h> +#include <DDDB/DDDBReaderContext.h> /// C/C++ include files #include <string> diff --git a/examples/DDDB/src/plugins/CondDB2DDDB.cpp b/examples/DDDB/src/plugins/CondDB2DDDB.cpp index 72cc95099..92a900213 100644 --- a/examples/DDDB/src/plugins/CondDB2DDDB.cpp +++ b/examples/DDDB/src/plugins/CondDB2DDDB.cpp @@ -21,6 +21,7 @@ #include "DD4hep/Path.h" #include "DD4hep/Alignments.h" #include "DD4hep/OpaqueDataBinder.h" +#include "DD4hep/detail/ConditionsInterna.h" #include "DDDB/DDDBTags.h" #include "DDDB/DDDBHelper.h" #include "DDDB/DDDBReader.h" diff --git a/examples/DDDB/src/plugins/DDDB2Objects.cpp b/examples/DDDB/src/plugins/DDDB2Objects.cpp index 2ef7adf77..113f946b3 100644 --- a/examples/DDDB/src/plugins/DDDB2Objects.cpp +++ b/examples/DDDB/src/plugins/DDDB2Objects.cpp @@ -31,6 +31,7 @@ #include "DD4hep/ConditionsData.h" #include "DD4hep/DetectorTools.h" #include "DD4hep/InstanceCount.h" +#include "DD4hep/detail/ConditionsInterna.h" #include "DDCond/ConditionsPool.h" diff --git a/examples/DDG4_MySensDet/CMakeLists.txt b/examples/DDG4_MySensDet/CMakeLists.txt index f743a1c96..27e6fd7f1 100644 --- a/examples/DDG4_MySensDet/CMakeLists.txt +++ b/examples/DDG4_MySensDet/CMakeLists.txt @@ -39,6 +39,7 @@ if (DD4HEP_USE_GEANT4) SOURCES ${DD4hep_DIR}/include/ROOT/Warnings.h src/MyTrackerHit.h LINKDEF ${DD4hep_DIR}/include/ROOT/LinkDef.h OUTPUT ${LIBRARY_OUTPUT_PATH} + USES DD4hep::DDCore DD4hep::DDG4 Geant4::Interface ) #---- Example of a client library with user defined plugins -------------------- diff --git a/examples/Persistency/src/PersistencySetup.h b/examples/Persistency/src/PersistencySetup.h index 6d8f68f25..921f0fb87 100644 --- a/examples/Persistency/src/PersistencySetup.h +++ b/examples/Persistency/src/PersistencySetup.h @@ -18,7 +18,7 @@ #include "DD4hep/Primitives.h" #include "DD4hep/Conditions.h" #include "DD4hep/Alignments.h" -#include "DD4hep/BasicGrammar.h" +#include "DD4hep/Grammar.h" #include "DD4hep/AlignmentData.h" #include "DD4hep/detail/AlignmentsInterna.h" #include "DD4hep/detail/ConditionsInterna.h" -- GitLab