mirror of
https://gitlab.com/libeigen/eigen.git
synced 2025-04-23 18:19:34 +08:00
let eigen2 tests use the same ei_add_test macro, which required to prefix them with eigen2_ ; rename buildtests_eigen2 to eigen2_buildtests, etc.
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@ -12,7 +12,11 @@ macro(ei_add_test_internal testname testname_with_suffix)
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set(filename ${testname}.cpp)
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add_executable(${targetname} ${filename})
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add_dependencies(buildtests ${targetname})
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if (targetname MATCHES "^eigen2_")
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add_dependencies(eigen2_buildtests ${targetname})
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else()
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add_dependencies(buildtests ${targetname})
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endif()
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if(EIGEN_NO_ASSERTION_CHECKING)
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ei_add_target_property(${targetname} COMPILE_FLAGS "-DEIGEN_NO_ASSERTION_CHECKING=1")
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@ -1,132 +1,58 @@
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add_custom_target(buildtests_eigen2)
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add_custom_target(check_eigen2 COMMAND "ctest")
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add_dependencies(check_eigen2 buildtests_eigen2)
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add_custom_target(eigen2_buildtests)
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add_custom_target(eigen2_check COMMAND "ctest -R eigen2")
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add_dependencies(eigen2_check eigen2_buildtests)
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add_dependencies(buildtests eigen2_buildtests)
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add_definitions("-DEIGEN2_SUPPORT_STAGE10_FULL_EIGEN2_API")
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# Macro to add a test
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#
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# the unique parameter testname must correspond to a file
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# <testname>.cpp which follows this pattern:
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#
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# #include "main.h"
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# void test_<testname>() { ... }
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#
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# this macro add an executable test_<testname> as well as a ctest test
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# named <testname>
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#
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# On platforms with bash simply run:
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# "ctest -V" or "ctest -V -R <testname>"
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# On other platform use ctest as usual
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#
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macro(ei_add_test_eigen2 testname)
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set(targetname test_eigen2_${testname})
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set(filename ${testname}.cpp)
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add_executable(${targetname} ${filename})
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add_dependencies(buildtests_eigen2 ${targetname})
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if(NOT EIGEN_NO_ASSERTION_CHECKING)
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if(MSVC)
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set_target_properties(${targetname} PROPERTIES COMPILE_FLAGS "/EHsc")
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else(MSVC)
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set_target_properties(${targetname} PROPERTIES COMPILE_FLAGS "-fexceptions")
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endif(MSVC)
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option(EIGEN_DEBUG_ASSERTS "Enable debuging of assertions" OFF)
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if(EIGEN_DEBUG_ASSERTS)
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set_target_properties(${targetname} PROPERTIES COMPILE_DEFINITIONS "EIGEN_DEBUG_ASSERTS=1")
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endif(EIGEN_DEBUG_ASSERTS)
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endif(NOT EIGEN_NO_ASSERTION_CHECKING)
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if(${ARGC} GREATER 1)
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ei_add_target_property(${targetname} COMPILE_FLAGS "${ARGV1}")
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endif(${ARGC} GREATER 1)
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ei_add_target_property(${targetname} COMPILE_FLAGS "-DEIGEN_TEST_FUNC=${testname}")
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if(TEST_LIB)
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target_link_libraries(${targetname} Eigen2)
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endif(TEST_LIB)
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if(EIGEN_STANDARD_LIBRARIES_TO_LINK_TO)
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target_link_libraries(${targetname} ${EIGEN_STANDARD_LIBRARIES_TO_LINK_TO})
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endif()
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target_link_libraries(${targetname} ${EXTERNAL_LIBS})
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if(${ARGC} GREATER 2)
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string(STRIP "${ARGV2}" ARGV2_stripped)
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string(LENGTH "${ARGV2_stripped}" ARGV2_stripped_length)
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if(${ARGV2_stripped_length} GREATER 0)
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target_link_libraries(${targetname} ${ARGV2})
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endif(${ARGV2_stripped_length} GREATER 0)
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endif(${ARGC} GREATER 2)
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if(WIN32)
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add_test(${testname} "${targetname}")
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else(WIN32)
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add_test(${testname} "${CMAKE_CURRENT_SOURCE_DIR}/runtest.sh" "${testname}")
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endif(WIN32)
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endmacro(ei_add_test_eigen2)
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enable_testing()
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if(TEST_LIB)
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add_definitions("-DEIGEN_EXTERN_INSTANTIATIONS=1")
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endif(TEST_LIB)
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ei_add_test_eigen2(meta)
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ei_add_test_eigen2(sizeof)
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ei_add_test_eigen2(dynalloc)
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ei_add_test_eigen2(nomalloc)
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ei_add_test_eigen2(first_aligned)
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ei_add_test_eigen2(mixingtypes)
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ei_add_test_eigen2(packetmath)
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ei_add_test_eigen2(unalignedassert)
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#ei_add_test_eigen2(vectorization_logic)
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ei_add_test_eigen2(basicstuff)
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ei_add_test_eigen2(linearstructure)
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ei_add_test_eigen2(cwiseop)
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ei_add_test_eigen2(sum)
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ei_add_test_eigen2(product_small)
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ei_add_test_eigen2(product_large ${EI_OFLAG})
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ei_add_test_eigen2(adjoint)
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ei_add_test_eigen2(submatrices)
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ei_add_test_eigen2(miscmatrices)
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ei_add_test_eigen2(commainitializer)
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ei_add_test_eigen2(smallvectors)
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ei_add_test_eigen2(map)
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ei_add_test_eigen2(array)
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ei_add_test_eigen2(triangular)
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ei_add_test_eigen2(cholesky " " "${GSL_LIBRARIES}")
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ei_add_test_eigen2(lu ${EI_OFLAG})
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ei_add_test_eigen2(determinant ${EI_OFLAG})
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ei_add_test_eigen2(inverse)
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ei_add_test_eigen2(qr)
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ei_add_test_eigen2(eigensolver " " "${GSL_LIBRARIES}")
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ei_add_test_eigen2(svd)
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ei_add_test_eigen2(geometry)
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ei_add_test_eigen2(hyperplane)
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ei_add_test_eigen2(parametrizedline)
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ei_add_test_eigen2(alignedbox)
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ei_add_test_eigen2(regression)
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ei_add_test_eigen2(stdvector)
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ei_add_test_eigen2(newstdvector)
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ei_add_test(eigen2_meta)
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ei_add_test(eigen2_sizeof)
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ei_add_test(eigen2_dynalloc)
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ei_add_test(eigen2_nomalloc)
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ei_add_test(eigen2_first_aligned)
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ei_add_test(eigen2_mixingtypes)
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ei_add_test(eigen2_packetmath)
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ei_add_test(eigen2_unalignedassert)
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#ei_add_test(eigen2_vectorization_logic)
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ei_add_test(eigen2_basicstuff)
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ei_add_test(eigen2_linearstructure)
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ei_add_test(eigen2_cwiseop)
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ei_add_test(eigen2_sum)
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ei_add_test(eigen2_product_small)
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ei_add_test(eigen2_product_large ${EI_OFLAG})
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ei_add_test(eigen2_adjoint)
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ei_add_test(eigen2_submatrices)
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ei_add_test(eigen2_miscmatrices)
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ei_add_test(eigen2_commainitializer)
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ei_add_test(eigen2_smallvectors)
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ei_add_test(eigen2_map)
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ei_add_test(eigen2_array)
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ei_add_test(eigen2_triangular)
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ei_add_test(eigen2_cholesky " " "${GSL_LIBRARIES}")
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ei_add_test(eigen2_lu ${EI_OFLAG})
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ei_add_test(eigen2_determinant ${EI_OFLAG})
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ei_add_test(eigen2_inverse)
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ei_add_test(eigen2_qr)
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ei_add_test(eigen2_eigensolver " " "${GSL_LIBRARIES}")
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ei_add_test(eigen2_svd)
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ei_add_test(eigen2_geometry)
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ei_add_test(eigen2_hyperplane)
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ei_add_test(eigen2_parametrizedline)
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ei_add_test(eigen2_alignedbox)
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ei_add_test(eigen2_regression)
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ei_add_test(eigen2_stdvector)
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ei_add_test(eigen2_newstdvector)
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if(QT4_FOUND)
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ei_add_test_eigen2(qtvector " " "${QT_QTCORE_LIBRARY}")
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ei_add_test(eigen2_qtvector " " "${QT_QTCORE_LIBRARY}")
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endif(QT4_FOUND)
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if(NOT EIGEN_DEFAULT_TO_ROW_MAJOR)
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ei_add_test_eigen2(sparse_vector)
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ei_add_test_eigen2(sparse_basic)
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ei_add_test_eigen2(sparse_solvers " " "${SPARSE_LIBS}")
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ei_add_test_eigen2(sparse_product)
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ei_add_test(eigen2_sparse_vector)
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ei_add_test(eigen2_sparse_basic)
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ei_add_test(eigen2_sparse_solvers " " "${SPARSE_LIBS}")
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ei_add_test(eigen2_sparse_product)
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endif()
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ei_add_test_eigen2(swap)
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ei_add_test_eigen2(visitor)
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ei_add_test_eigen2(bug_132)
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ei_add_test(eigen2_swap)
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ei_add_test(eigen2_visitor)
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ei_add_test(eigen2_bug_132)
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ei_add_test_eigen2(prec_inverse_4x4 ${EI_OFLAG})
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ei_add_test(eigen2_prec_inverse_4x4 ${EI_OFLAG})
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@ -100,7 +100,7 @@ template<typename MatrixType> void adjoint(const MatrixType& m)
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}
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void test_adjoint()
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void test_eigen2_adjoint()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( adjoint(Matrix<float, 1, 1>()) );
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@ -65,7 +65,7 @@ template<typename BoxType> void alignedbox(const BoxType& _box)
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VERIFY_IS_APPROX(hp1d.template cast<Scalar>(),b0);
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}
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void test_alignedbox()
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void test_eigen2_alignedbox()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( alignedbox(AlignedBox<float,2>()) );
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@ -129,7 +129,7 @@ template<typename VectorType> void lpNorm(const VectorType& v)
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VERIFY_IS_APPROX(ei_pow(u.template lpNorm<5>(), typename VectorType::RealScalar(5)), u.cwise().abs().cwise().pow(5).sum());
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}
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void test_array()
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void test_eigen2_array()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( array(Matrix<float, 1, 1>()) );
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@ -109,7 +109,7 @@ template<typename MatrixType> void basicStuff(const MatrixType& m)
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}
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}
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void test_basicstuff()
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void test_eigen2_basicstuff()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( basicStuff(Matrix<float, 1, 1>()) );
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@ -24,7 +24,7 @@
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#include "main.h"
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void test_bug_132() {
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void test_eigen2_bug_132() {
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enum { size = 100 };
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MatrixXd A(size, size);
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VectorXd b(size), c(size);
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@ -113,7 +113,7 @@ template<typename MatrixType> void cholesky(const MatrixType& m)
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#endif
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}
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void test_cholesky()
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void test_eigen2_cholesky()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( cholesky(Matrix<double,1,1>()) );
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@ -24,7 +24,7 @@
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#include "main.h"
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void test_commainitializer()
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void test_eigen2_commainitializer()
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{
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Matrix3d m3;
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Matrix4d m4;
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@ -160,7 +160,7 @@ template<typename MatrixType> void cwiseops(const MatrixType& m)
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VERIFY( !(m1.cwise()>m1.unaryExpr(bind2nd(plus<Scalar>(), Scalar(1)))).any() );
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}
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void test_cwiseop()
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void test_eigen2_cwiseop()
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{
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for(int i = 0; i < g_repeat ; i++) {
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CALL_SUBTEST( cwiseops(Matrix<float, 1, 1>()) );
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@ -62,7 +62,7 @@ template<typename MatrixType> void determinant(const MatrixType& m)
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VERIFY_IS_APPROX(m2.determinant(), m1.determinant() * x);
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}
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void test_determinant()
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void test_eigen2_determinant()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( determinant(Matrix<float, 1, 1>()) );
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@ -102,7 +102,7 @@ template<typename T> void check_dynaligned()
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delete obj;
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}
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void test_dynalloc()
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void test_eigen2_dynalloc()
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{
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// low level dynamic memory allocation
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CALL_SUBTEST(check_handmade_aligned_malloc());
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@ -145,7 +145,7 @@ template<typename MatrixType> void eigensolver(const MatrixType& m)
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}
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void test_eigensolver()
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void test_eigen2_eigensolver()
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{
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for(int i = 0; i < g_repeat; i++) {
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// very important to test a 3x3 matrix since we provide a special path for it
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@ -25,21 +25,21 @@
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#include "main.h"
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template<typename Scalar>
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void test_first_aligned_helper(Scalar *array, int size)
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void test_eigen2_first_aligned_helper(Scalar *array, int size)
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{
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const int packet_size = sizeof(Scalar) * ei_packet_traits<Scalar>::size;
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VERIFY(((std::size_t(array) + sizeof(Scalar) * ei_alignmentOffset(array, size)) % packet_size) == 0);
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}
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template<typename Scalar>
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void test_none_aligned_helper(Scalar *array, int size)
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void test_eigen2_none_aligned_helper(Scalar *array, int size)
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{
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VERIFY(ei_packet_traits<Scalar>::size == 1 || ei_alignmentOffset(array, size) == size);
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}
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struct some_non_vectorizable_type { float x; };
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void test_first_aligned()
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void test_eigen2_first_aligned()
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{
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EIGEN_ALIGN_128 float array_float[100];
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test_first_aligned_helper(array_float, 50);
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@ -437,7 +437,7 @@ template<typename Scalar> void geometry(void)
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}
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void test_geometry()
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void test_eigen2_geometry()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( geometry<float>() );
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@ -128,7 +128,7 @@ template<typename Scalar> void lines()
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}
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}
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void test_hyperplane()
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void test_eigen2_hyperplane()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( hyperplane(Hyperplane<float,2>()) );
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@ -65,7 +65,7 @@ template<typename MatrixType> void inverse(const MatrixType& m)
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VERIFY_IS_APPROX(m1.transpose().inverse(), m1.inverse().transpose());
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}
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void test_inverse()
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void test_eigen2_inverse()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( inverse(Matrix<double,1,1>()) );
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@ -84,7 +84,7 @@ template<typename MatrixType> void linearStructure(const MatrixType& m)
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VERIFY_IS_APPROX(m1.block(0,0,rows,cols) * s1, m1 * s1);
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}
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void test_linearstructure()
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void test_eigen2_linearstructure()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( linearStructure(Matrix<float, 1, 1>()) );
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@ -120,7 +120,7 @@ template<typename MatrixType> void lu_invertible()
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VERIFY(lu.solve(m3, &m2));
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}
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void test_lu()
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void test_eigen2_lu()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( lu_non_invertible<MatrixXf>() );
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@ -105,7 +105,7 @@ template<typename VectorType> void map_static_methods(const VectorType& m)
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}
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void test_map()
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void test_eigen2_map()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( map_class_vector(Matrix<float, 1, 1>()) );
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@ -24,7 +24,7 @@
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#include "main.h"
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void test_meta()
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void test_eigen2_meta()
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{
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typedef float & FloatRef;
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typedef const float & ConstFloatRef;
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@ -51,7 +51,7 @@ template<typename MatrixType> void miscMatrices(const MatrixType& m)
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VERIFY_IS_APPROX(square, MatrixType::Identity(rows, rows));
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}
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void test_miscmatrices()
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void test_eigen2_miscmatrices()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( miscMatrices(Matrix<float, 1, 1>()) );
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@ -79,7 +79,7 @@ template<int SizeAtCompileType> void mixingtypes(int size = SizeAtCompileType)
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VERIFY_RAISES_ASSERT(vcf.dot(vf)); // yeah eventually we should allow this but i'm too lazy to make that change now in Dot.h
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} // especially as that might be rewritten as cwise product .sum() which would make that automatic.
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void test_mixingtypes()
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void test_eigen2_mixingtypes()
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{
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// check that our operator new is indeed called:
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CALL_SUBTEST(mixingtypes<3>());
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@ -133,7 +133,7 @@ void check_stdvector_quaternion(const QuaternionType&)
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}
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}
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void test_newstdvector()
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void test_eigen2_newstdvector()
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{
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// some non vectorizable fixed sizes
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CALL_SUBTEST(check_stdvector_matrix(Vector2f()));
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@ -68,7 +68,7 @@ template<typename MatrixType> void nomalloc(const MatrixType& m)
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VERIFY_IS_APPROX((m1*m1.transpose())*m2, m1*(m1.transpose()*m2));
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}
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void test_nomalloc()
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void test_eigen2_nomalloc()
|
||||
{
|
||||
// check that our operator new is indeed called:
|
||||
VERIFY_RAISES_ASSERT(MatrixXd dummy = MatrixXd::Random(3,3));
|
@ -136,7 +136,7 @@ template<typename Scalar> void packetmath()
|
||||
VERIFY(areApprox(ref, data2, PacketSize) && "ei_preduxp");
|
||||
}
|
||||
|
||||
void test_packetmath()
|
||||
void test_eigen2_packetmath()
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
CALL_SUBTEST( packetmath<float>() );
|
@ -66,7 +66,7 @@ template<typename LineType> void parametrizedline(const LineType& _line)
|
||||
VERIFY_IS_APPROX(hp1d.template cast<Scalar>(),l0);
|
||||
}
|
||||
|
||||
void test_parametrizedline()
|
||||
void test_eigen2_parametrizedline()
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
CALL_SUBTEST( parametrizedline(ParametrizedLine<float,2>()) );
|
@ -86,7 +86,7 @@ template<typename MatrixType> void inverse_general_4x4(int repeat)
|
||||
VERIFY(error_max < (NumTraits<Scalar>::IsComplex ? 64.0 : 20.0));
|
||||
}
|
||||
|
||||
void test_prec_inverse_4x4()
|
||||
void test_eigen2_prec_inverse_4x4()
|
||||
{
|
||||
CALL_SUBTEST((inverse_permutation_4x4<Matrix4f>()));
|
||||
CALL_SUBTEST(( inverse_general_4x4<Matrix4f>(200000 * g_repeat) ));
|
@ -24,7 +24,7 @@
|
||||
|
||||
#include "product.h"
|
||||
|
||||
void test_product_large()
|
||||
void test_eigen2_product_large()
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
CALL_SUBTEST( product(MatrixXf(ei_random<int>(1,320), ei_random<int>(1,320))) );
|
@ -25,7 +25,7 @@
|
||||
#define EIGEN_NO_STATIC_ASSERT
|
||||
#include "product.h"
|
||||
|
||||
void test_product_small()
|
||||
void test_eigen2_product_small()
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
CALL_SUBTEST( product(Matrix<float, 3, 2>()) );
|
@ -57,7 +57,7 @@ template<typename MatrixType> void qr(const MatrixType& m)
|
||||
VERIFY_IS_APPROX(b, hess.matrixQ() * hess.matrixH() * hess.matrixQ().adjoint());
|
||||
}
|
||||
|
||||
void test_qr()
|
||||
void test_eigen2_qr()
|
||||
{
|
||||
for(int i = 0; i < 1; i++) {
|
||||
CALL_SUBTEST( qr(Matrix2f()) );
|
@ -142,7 +142,7 @@ void check_qtvector_quaternion(const QuaternionType&)
|
||||
}
|
||||
}
|
||||
|
||||
void test_qtvector()
|
||||
void test_eigen2_qtvector()
|
||||
{
|
||||
// some non vectorizable fixed sizes
|
||||
CALL_SUBTEST(check_qtvector_matrix(Vector2f()));
|
@ -91,7 +91,7 @@ void check_fitHyperplane(int numPoints,
|
||||
VERIFY(ei_abs(error) < ei_abs(tolerance));
|
||||
}
|
||||
|
||||
void test_regression()
|
||||
void test_eigen2_regression()
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++)
|
||||
{
|
@ -33,7 +33,7 @@ template<typename MatrixType> void verifySizeOf(const MatrixType&)
|
||||
VERIFY(sizeof(MatrixType)==sizeof(Scalar*) + 2 * sizeof(typename MatrixType::Index));
|
||||
}
|
||||
|
||||
void test_sizeof()
|
||||
void test_eigen2_sizeof()
|
||||
{
|
||||
CALL_SUBTEST( verifySizeOf(Matrix<float, 1, 1>()) );
|
||||
CALL_SUBTEST( verifySizeOf(Matrix4d()) );
|
@ -47,7 +47,7 @@ template<typename Scalar> void smallVectors()
|
||||
VERIFY_IS_APPROX(x4, v4.w());
|
||||
}
|
||||
|
||||
void test_smallvectors()
|
||||
void test_eigen2_smallvectors()
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
CALL_SUBTEST( smallVectors<int>() );
|
@ -320,7 +320,7 @@ template<typename SparseMatrixType> void sparse_basic(const SparseMatrixType& re
|
||||
}
|
||||
}
|
||||
|
||||
void test_sparse_basic()
|
||||
void test_eigen2_sparse_basic()
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
CALL_SUBTEST( sparse_basic(SparseMatrix<double>(8, 8)) );
|
@ -118,7 +118,7 @@ template<typename SparseMatrixType> void sparse_product(const SparseMatrixType&
|
||||
|
||||
}
|
||||
|
||||
void test_sparse_product()
|
||||
void test_eigen2_sparse_product()
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
CALL_SUBTEST( sparse_product(SparseMatrix<double>(8, 8)) );
|
@ -205,7 +205,7 @@ template<typename Scalar> void sparse_solvers(int rows, int cols)
|
||||
|
||||
}
|
||||
|
||||
void test_sparse_solvers()
|
||||
void test_eigen2_sparse_solvers()
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
CALL_SUBTEST( sparse_solvers<double>(8, 8) );
|
@ -88,7 +88,7 @@ template<typename Scalar> void sparse_vector(int rows, int cols)
|
||||
|
||||
}
|
||||
|
||||
void test_sparse_vector()
|
||||
void test_eigen2_sparse_vector()
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
CALL_SUBTEST( sparse_vector<double>(8, 8) );
|
@ -132,7 +132,7 @@ void check_stdvector_quaternion(const QuaternionType&)
|
||||
}
|
||||
}
|
||||
|
||||
void test_stdvector()
|
||||
void test_eigen2_stdvector()
|
||||
{
|
||||
// some non vectorizable fixed sizes
|
||||
CALL_SUBTEST(check_stdvector_matrix(Vector2f()));
|
@ -150,7 +150,7 @@ template<typename MatrixType> void submatrices(const MatrixType& m)
|
||||
VERIFY(ei_real(ones.row(r1).dot(ones.row(r2))) == RealScalar(cols));
|
||||
}
|
||||
|
||||
void test_submatrices()
|
||||
void test_eigen2_submatrices()
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
CALL_SUBTEST( submatrices(Matrix<float, 1, 1>()) );
|
@ -68,7 +68,7 @@ template<typename VectorType> void vectorSum(const VectorType& w)
|
||||
}
|
||||
}
|
||||
|
||||
void test_sum()
|
||||
void test_eigen2_sum()
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
CALL_SUBTEST( matrixSum(Matrix<float, 1, 1>()) );
|
@ -85,7 +85,7 @@ template<typename MatrixType> void svd(const MatrixType& m)
|
||||
}
|
||||
}
|
||||
|
||||
void test_svd()
|
||||
void test_eigen2_svd()
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
CALL_SUBTEST( svd(Matrix3f()) );
|
@ -89,7 +89,7 @@ template<typename MatrixType> void swap(const MatrixType& m)
|
||||
VERIFY_RAISES_ASSERT(m1.row(0).swap(m1));
|
||||
}
|
||||
|
||||
void test_swap()
|
||||
void test_eigen2_swap()
|
||||
{
|
||||
CALL_SUBTEST( swap(Matrix3f()) ); // fixed size, no vectorization
|
||||
CALL_SUBTEST( swap(Matrix4d()) ); // fixed size, possible vectorization
|
@ -124,7 +124,7 @@ template<typename MatrixType> void triangular(const MatrixType& m)
|
||||
|
||||
}
|
||||
|
||||
void test_triangular()
|
||||
void test_eigen2_triangular()
|
||||
{
|
||||
for(int i = 0; i < g_repeat ; i++) {
|
||||
CALL_SUBTEST( triangular(Matrix<float, 1, 1>()) );
|
@ -125,7 +125,7 @@ void unalignedassert()
|
||||
#endif
|
||||
}
|
||||
|
||||
void test_unalignedassert()
|
||||
void test_eigen2_unalignedassert()
|
||||
{
|
||||
CALL_SUBTEST(unalignedassert());
|
||||
}
|
@ -112,7 +112,7 @@ template<typename VectorType> void vectorVisitor(const VectorType& w)
|
||||
VERIFY_IS_APPROX(maxc, v.maxCoeff());
|
||||
}
|
||||
|
||||
void test_visitor()
|
||||
void test_eigen2_visitor()
|
||||
{
|
||||
for(int i = 0; i < g_repeat; i++) {
|
||||
CALL_SUBTEST( matrixVisitor(Matrix<float, 1, 1>()) );
|
Loading…
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Reference in New Issue
Block a user