From 5de02a8e89ce7905281a0ef6d40f82ef04d426d6 Mon Sep 17 00:00:00 2001 From: vrouvrea Date: Tue, 30 May 2017 11:14:43 +0000 Subject: Typo git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/persistence_representation_integration@2472 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 457b970258b8a99519db664358c19d0dee80d879 --- .../test/CMakeLists.txt | 90 + src/Persistence_representations/test/data/aaaa | 104 + src/Persistence_representations/test/data/average | 148611 ++++++++++++++++++ .../test/data/average_of_persistence_vectors | 1 + .../test/data/average_on_a_grid | 104 + .../test/data/difference | 148611 ++++++++++++++++++ .../test/data/difference_on_grid_test | 104 + .../test/data/file_with_diagram | 45 + .../test/data/file_with_diagram_1 | 660 + .../test/data/file_with_diagram_2 | 435 + .../file_with_landscape_from_file_with_diagram | 817 + .../file_with_landscape_from_file_with_diagram_1 | 147820 +++++++++++++++++ .../test/data/heat_map_difference | 1001 + .../test/data/heat_map_multiply_by_scalar | 1001 + .../test/data/heat_map_sum | 1001 + .../test/data/landscape_from_file_with_diagram_1 | 104 + .../test/data/multiply_by_scalar | 817 + .../test/data/multiply_by_scalar_on_grid_test | 104 + .../persistence_file_with_four_entries_per_line | 11 + ...tence_file_with_four_entries_per_line_landscape | 8 + .../persistence_file_with_three_entries_per_line | 11 + .../persistence_file_with_two_entries_per_line | 8 + .../persistence_heat_map_from_file_with_diagram | 1001 + src/Persistence_representations/test/data/sum | 148611 ++++++++++++++++++ .../test/data/sum_on_grid_test | 104 + .../test/data/template_average_of_heat_maps | 1001 + .../test/data/template_median_of_heat_maps | 1001 + .../template_percentage_of_active_of_heat_maps | 1001 + .../test/persistence_heat_maps_test.cpp | 394 + .../test/persistence_intervals_test.cpp | 343 + .../persistence_intervals_with_distances_test.cpp | 70 + .../test/persistence_lanscapes_on_grid_test.cpp | 388 + .../test/persistence_lanscapes_test.cpp | 384 + .../test/read_persistence_from_file_test.cpp | 115 + .../test/vector_representation_test.cpp | 413 + 35 files changed, 606294 insertions(+) create mode 100644 src/Persistence_representations/test/CMakeLists.txt create mode 100644 src/Persistence_representations/test/data/aaaa create mode 100644 src/Persistence_representations/test/data/average create mode 100644 src/Persistence_representations/test/data/average_of_persistence_vectors create mode 100644 src/Persistence_representations/test/data/average_on_a_grid create mode 100644 src/Persistence_representations/test/data/difference create mode 100644 src/Persistence_representations/test/data/difference_on_grid_test create mode 100644 src/Persistence_representations/test/data/file_with_diagram create mode 100644 src/Persistence_representations/test/data/file_with_diagram_1 create mode 100644 src/Persistence_representations/test/data/file_with_diagram_2 create mode 100644 src/Persistence_representations/test/data/file_with_landscape_from_file_with_diagram create mode 100644 src/Persistence_representations/test/data/file_with_landscape_from_file_with_diagram_1 create mode 100644 src/Persistence_representations/test/data/heat_map_difference create mode 100644 src/Persistence_representations/test/data/heat_map_multiply_by_scalar create mode 100644 src/Persistence_representations/test/data/heat_map_sum create mode 100644 src/Persistence_representations/test/data/landscape_from_file_with_diagram_1 create mode 100644 src/Persistence_representations/test/data/multiply_by_scalar create mode 100644 src/Persistence_representations/test/data/multiply_by_scalar_on_grid_test create mode 100644 src/Persistence_representations/test/data/persistence_file_with_four_entries_per_line create mode 100644 src/Persistence_representations/test/data/persistence_file_with_four_entries_per_line_landscape create mode 100644 src/Persistence_representations/test/data/persistence_file_with_three_entries_per_line create mode 100644 src/Persistence_representations/test/data/persistence_file_with_two_entries_per_line create mode 100644 src/Persistence_representations/test/data/persistence_heat_map_from_file_with_diagram create mode 100644 src/Persistence_representations/test/data/sum create mode 100644 src/Persistence_representations/test/data/sum_on_grid_test create mode 100644 src/Persistence_representations/test/data/template_average_of_heat_maps create mode 100644 src/Persistence_representations/test/data/template_median_of_heat_maps create mode 100644 src/Persistence_representations/test/data/template_percentage_of_active_of_heat_maps create mode 100644 src/Persistence_representations/test/persistence_heat_maps_test.cpp create mode 100644 src/Persistence_representations/test/persistence_intervals_test.cpp create mode 100644 src/Persistence_representations/test/persistence_intervals_with_distances_test.cpp create mode 100644 src/Persistence_representations/test/persistence_lanscapes_on_grid_test.cpp create mode 100644 src/Persistence_representations/test/persistence_lanscapes_test.cpp create mode 100644 src/Persistence_representations/test/read_persistence_from_file_test.cpp create mode 100644 src/Persistence_representations/test/vector_representation_test.cpp (limited to 'src/Persistence_representations/test') diff --git a/src/Persistence_representations/test/CMakeLists.txt b/src/Persistence_representations/test/CMakeLists.txt new file mode 100644 index 00000000..7b6de74e --- /dev/null +++ b/src/Persistence_representations/test/CMakeLists.txt @@ -0,0 +1,90 @@ +cmake_minimum_required(VERSION 2.6) +project(GUDHI_STAT_CCUT) + +if (GCOVR_PATH) + # for gcovr to make coverage reports - Corbera Jenkins plugin + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fprofile-arcs -ftest-coverage") + set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -fprofile-arcs -ftest-coverage") + set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -fprofile-arcs -ftest-coverage") +endif() +if (GPROF_PATH) + # for gprof to make coverage reports - Jenkins + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pg") + set(CMAKE_CXX_FLAGS_DEBUG "${CMAKE_CXX_FLAGS_DEBUG} -pg") + set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -pg") +endif() + +# copy data directory for tests purpose. QUESTION -- DOEST IT WORK IF WE CREATE A NEW FOLDER FOR EACH TEST? i THINK THAT WE SHOULD MAKE THS COPYING TO EACH TEST FOLDER. +file(COPY data DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/) +add_executable ( persistence_intervals_test persistence_intervals_test.cpp ) +target_link_libraries(persistence_intervals_test ${Boost_SYSTEM_LIBRARY} ${Boost_UNIT_TEST_FRAMEWORK_LIBRARY}) + + +# Unitary tests +add_test(NAME persistence_intervals_test + COMMAND ${CMAKE_CURRENT_BINARY_DIR}/persistence_intervals_test + # XML format for Jenkins xUnit plugin + --log_format=XML --log_sink=${CMAKE_SOURCE_DIR}/persistence_intervals_UT.xml --log_level=test_suite --report_level=no) + +add_executable ( vector_representation_test vector_representation_test.cpp ) +target_link_libraries(vector_representation_test ${Boost_SYSTEM_LIBRARY} ${Boost_UNIT_TEST_FRAMEWORK_LIBRARY}) + +# Unitary tests +add_test(NAME vector_representation_test + COMMAND ${CMAKE_CURRENT_BINARY_DIR}/vector_representation_test + # XML format for Jenkins xUnit plugin + --log_format=XML --log_sink=${CMAKE_SOURCE_DIR}/vector_representation_UT.xml --log_level=test_suite --report_level=no) + +add_executable ( persistence_lanscapes_test persistence_lanscapes_test.cpp ) +target_link_libraries(persistence_lanscapes_test ${Boost_SYSTEM_LIBRARY} ${Boost_UNIT_TEST_FRAMEWORK_LIBRARY}) + +# Unitary tests +add_test(NAME persistence_lanscapes_test + COMMAND ${CMAKE_CURRENT_BINARY_DIR}/persistence_lanscapes_test + # XML format for Jenkins xUnit plugin + --log_format=XML --log_sink=${CMAKE_SOURCE_DIR}/persistence_lanscapes_UT.xml --log_level=test_suite --report_level=no) + +add_executable ( persistence_lanscapes_on_grid_test persistence_lanscapes_on_grid_test.cpp ) +target_link_libraries(persistence_lanscapes_on_grid_test ${Boost_SYSTEM_LIBRARY} ${Boost_UNIT_TEST_FRAMEWORK_LIBRARY}) + +# Unitary tests +add_test(NAME persistence_lanscapes_on_grid_test + COMMAND ${CMAKE_CURRENT_BINARY_DIR}/persistence_lanscapes_on_grid_test + # XML format for Jenkins xUnit plugin + --log_format=XML --log_sink=${CMAKE_SOURCE_DIR}/persistence_lanscapes_on_grid_UT.xml --log_level=test_suite --report_level=no) + +add_executable ( persistence_heat_maps_test persistence_heat_maps_test.cpp ) +target_link_libraries(persistence_heat_maps_test ${Boost_SYSTEM_LIBRARY} ${Boost_UNIT_TEST_FRAMEWORK_LIBRARY}) + +# Unitary tests +add_test(NAME persistence_heat_maps_test + COMMAND ${CMAKE_CURRENT_BINARY_DIR}/persistence_heat_maps_test + # XML format for Jenkins xUnit plugin + --log_format=XML --log_sink=${CMAKE_SOURCE_DIR}/persistence_heat_maps_UT.xml --log_level=test_suite --report_level=no) + +add_executable ( read_persistence_from_file_test read_persistence_from_file_test.cpp ) +target_link_libraries(read_persistence_from_file_test ${Boost_SYSTEM_LIBRARY} ${Boost_UNIT_TEST_FRAMEWORK_LIBRARY}) + +# Unitary tests +add_test(NAME read_persistence_from_file_test + COMMAND ${CMAKE_CURRENT_BINARY_DIR}/read_persistence_from_file_test + # XML format for Jenkins xUnit plugin + --log_format=XML --log_sink=${CMAKE_SOURCE_DIR}/read_persistence_from_file_UT.xml --log_level=test_suite --report_level=no) + + + +if (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.8.1) +add_executable ( persistence_intervals_with_distances_test persistence_intervals_with_distances_test.cpp ) +target_link_libraries(persistence_intervals_with_distances_test ${Boost_SYSTEM_LIBRARY} ${Boost_UNIT_TEST_FRAMEWORK_LIBRARY}) +if (TBB_FOUND) +target_link_libraries(persistence_intervals_with_distances_test ${TBB_LIBRARIES}) +endif(TBB_FOUND) +# Unitary tests +add_test(NAME persistence_intervals_with_distances_test + COMMAND ${CMAKE_CURRENT_BINARY_DIR}/persistence_intervals_with_distances_test + # XML format for Jenkins xUnit plugin + --log_format=XML --log_sink=${CMAKE_SOURCE_DIR}/persistence_intervals_with_distances_test_UT.xml --log_level=test_suite --report_level=no) +endif (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.8.1) + + + diff --git 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2.49807e-05 3.10588e-05 3.8274e-05 4.6748e-05 5.65928e-05 6.79047e-05 8.07565e-05 9.51907e-05 0.000111212 0.00012878 0.000147803 0.000168136 0.000189572 0.000211851 0.000234652 0.000257608 0.000280306 0.000302305 0.000323146 0.000342367 0.000359521 0.000374193 0.000386017 0.000394692 0.000399989 0.000401771 0.000399989 0.000394692 0.000386017 0.000374193 0.000359521 0.000342367 0.000323146 0.000302305 0.000280306 0.000257608 0.000234652 0.000211851 0.000189572 0.000168136 0.000147803 0.00012878 0.000111212 9.51907e-05 8.07565e-05 6.79047e-05 5.65928e-05 4.6748e-05 3.8274e-05 3.10588e-05 2.49807e-05 1.99143e-05 1.57349e-05 1.23226e-05 9.56494e-06 7.35869e-06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3.93084e-05 5.10937e-05 6.58246e-05 8.40522e-05 0.000106377 0.000133441 0.000165909 0.000204451 0.000249717 0.000302305 0.000362731 0.000431382 0.000508486 0.000594068 0.000687912 0.00078953 0.000898141 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5.4616e-05 6.4378e-05 7.52132e-05 8.70945e-05 9.99601e-05 0.000113711 0.000128209 0.000143276 0.000158697 0.000174221 0.000189572 0.000204451 0.000218545 0.000231544 0.000243146 0.000253069 0.000261066 0.000266932 0.000270515 0.00027172 0.000270515 0.000266932 0.000261066 0.000253069 0.000243146 0.000231544 0.000218545 0.000204451 0.000189572 0.000174221 0.000158697 0.000143276 0.000128209 0.000113711 9.99601e-05 8.70945e-05 7.52132e-05 6.4378e-05 5.4616e-05 4.59243e-05 3.8274e-05 3.16159e-05 2.58849e-05 2.10052e-05 1.68946e-05 1.34681e-05 1.06416e-05 8.33386e-06 6.46882e-06 4.97672e-06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5.13212e-05 6.67081e-05 8.59409e-05 0.000109739 0.000138887 0.000174221 0.000216611 0.000266932 0.000326031 0.000394692 0.000473583 0.000563214 0.000663882 0.000775618 0.000898141 0.00103081 0.00117262 0.00132212 0.0014775 0.00163652 0.00179662 0.00195492 0.00210835 0.0022537 0.00238775 0.00250738 0.00260971 0.00269218 0.00275267 0.00278962 0.00280204 0.00278962 0.00275267 0.00269218 0.00260971 0.00250738 0.00238775 0.0022537 0.00210835 0.00195492 0.00179662 0.00163652 0.0014775 0.00132212 0.00117262 0.00103081 0.000898141 0.000775618 0.000663882 0.000563214 0.000473583 0.000394692 0.000326031 0.000266932 0.000216611 0.000174221 0.000138887 0.000109739 8.59409e-05 6.67081e-05 5.13212e-05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3.93084e-05 5.10937e-05 6.58246e-05 8.40522e-05 0.000106377 0.000133441 0.000165909 0.000204451 0.000249717 0.000302305 0.000362731 0.000431382 0.000508486 0.000594068 0.000687912 0.00078953 0.000898141 0.00101265 0.00113166 0.00125346 0.00137608 0.00149733 0.00161484 0.00172617 0.00182884 0.00192047 0.00199885 0.00206201 0.00210835 0.00213665 0.00214617 0.00213665 0.00210835 0.00206201 0.00199885 0.00192047 0.00182884 0.00172617 0.00161484 0.00149733 0.00137608 0.00125346 0.00113166 0.00101265 0.000898141 0.00078953 0.000687912 0.000594068 0.000508486 0.000431382 0.000362731 0.000302305 0.000249717 0.000204451 0.000165909 0.000133441 0.000106377 8.40522e-05 6.58246e-05 5.10937e-05 3.93084e-05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4.20183e-05 5.4616e-05 7.03625e-05 8.98467e-05 0.000113711 0.00014264 0.000177346 0.000218545 0.000266932 0.000323146 0.000387737 0.000461121 0.000543541 0.000635022 0.000735336 0.00084396 0.000960058 0.00108246 0.00120967 0.00133987 0.00147094 0.00160055 0.00172617 0.00184517 0.00195492 0.00205287 0.00213665 0.00220417 0.0022537 0.00228395 0.00229412 0.00228395 0.0022537 0.00220417 0.00213665 0.00205287 0.00195492 0.00184517 0.00172617 0.00160055 0.00147094 0.00133987 0.00120967 0.00108246 0.000960058 0.00084396 0.000735336 0.000635022 0.000543541 0.000461121 0.000387737 0.000323146 0.000266932 0.000218545 0.000177346 0.00014264 0.000113711 8.98467e-05 7.03625e-05 5.4616e-05 4.20183e-05 0 0 0 0 0 0 0 0 0 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9.51907e-05 7.45476e-05 5.78645e-05 4.45175e-05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4.20183e-05 5.4616e-05 7.03625e-05 8.98467e-05 0.000113711 0.00014264 0.000177346 0.000218545 0.000266932 0.000323146 0.000387737 0.000461121 0.000543541 0.000635022 0.000735336 0.00084396 0.000960058 0.00108246 0.00120967 0.00133987 0.00147094 0.00160055 0.00172617 0.00184517 0.00195492 0.00205287 0.00213665 0.00220417 0.0022537 0.00228395 0.00229412 0.00228395 0.0022537 0.00220417 0.00213665 0.00205287 0.00195492 0.00189383 0.00178941 0.00168203 0.00157498 0.00147154 0.00137485 0.00128782 0.00121313 0.00115306 0.00110953 0.00111452 0.00111716 0.00114162 0.00118831 0.00125721 0.00134779 0.00145904 0.0015895 0.00173723 0.00189989 0.00207471 0.00225859 0.00244816 0.00263979 0.0027977 0.00299 0.00317132 0.00333838 0.00348811 0.00361768 0.00372464 0.00380698 0.00386316 0.00389222 0.00389373 0.00386785 0.00381526 0.0037372 0.00363537 0.00351188 0.00336918 0.00321001 0.00303728 0.00285401 0.00266324 0.00246797 0.00227106 0.0020752 0.00188286 0.0016962 0.00151711 0.00134714 0.0011875 0.0010391 0.000902507 0.000778014 0.000665637 0.00056516 0.000476169 0.000398086 0.000330211 0.000234652 0.000193832 0.000158697 0.00012878 0.000103578 8.25711e-05 6.52421e-05 5.10937e-05 3.96594e-05 3.05115e-05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4.03854e-06 5.24935e-06 6.76281e-06 8.63551e-06 1.09292e-05 1.37097e-05 1.70454e-05 2.10052e-05 2.56558e-05 3.10588e-05 3.72669e-05 4.43201e-05 5.22418e-05 6.10344e-05 7.06759e-05 8.11162e-05 9.22748e-05 0.00010404 0.000116266 0.00012878 0.000141378 0.000153835 0.000165909 0.000177346 0.000187895 0.000197309 0.000205361 0.000211851 0.000216611 0.000219519 0.000220497 0.000219519 0.000216611 0.000211851 0.000205361 0.000197309 0.000187895 0.000177346 0.000165909 0.000153835 0.000141378 0.00012878 0.000116266 0.00010404 9.22748e-05 8.11162e-05 7.06759e-05 6.10344e-05 5.22418e-05 4.43201e-05 3.72669e-05 3.10588e-05 2.56558e-05 2.10052e-05 1.70454e-05 1.37097e-05 1.09292e-05 8.63551e-06 6.76281e-06 5.24935e-06 4.03854e-06 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5.01933e-05 6.52421e-05 8.40522e-05 0.000107327 0.000135835 0.000170393 0.000211851 0.000261066 0.000318866 0.000386017 0.000463175 0.000550837 0.000649292 0.000758572 0.000878402 0.00100816 0.00114685 0.00129307 0.00144503 0.00160055 0.00175713 0.00191196 0.00206201 0.00220417 0.00233527 0.00245227 0.00255235 0.00263301 0.00269218 0.00272831 0.00274046 0.00272831 0.00269218 0.00263301 0.00255235 0.00245227 0.00233527 0.00220417 0.00206201 0.00191196 0.00175713 0.00160055 0.00144503 0.00129307 0.00114685 0.00100816 0.000878402 0.000758572 0.000649292 0.000550837 0.000463175 0.000386017 0.000318866 0.000261066 0.000211851 0.000170393 0.000135835 0.000107327 8.40522e-05 6.52421e-05 5.01933e-05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4.20183e-05 5.4616e-05 7.03625e-05 8.98467e-05 0.000113711 0.00014264 0.000177346 0.000218545 0.000266932 0.000323146 0.000387737 0.000461121 0.000543541 0.000635022 0.000735336 0.00084396 0.000960058 0.00108246 0.00120967 0.00133987 0.00147094 0.00160055 0.00172617 0.00184517 0.00195492 0.00205287 0.00213665 0.00220417 0.0022537 0.00228395 0.00229412 0.00228395 0.0022537 0.00220417 0.00213665 0.00205287 0.00195492 0.00184517 0.00172617 0.00160055 0.00147094 0.00133987 0.00120967 0.00108246 0.000960058 0.00084396 0.000735336 0.000635022 0.000543541 0.000461121 0.000387737 0.000323146 0.000266932 0.000218545 0.000177346 0.00014264 0.000113711 8.98467e-05 7.03625e-05 5.4616e-05 4.20183e-05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3.93084e-05 5.10937e-05 6.58246e-05 8.40522e-05 0.000106377 0.000133441 0.000165909 0.000204451 0.000249717 0.000302305 0.000362731 0.000431382 0.000508486 0.000594068 0.000687912 0.00078953 0.000898141 0.00101265 0.00113166 0.00125346 0.00137608 0.00149733 0.00161484 0.00172617 0.00182884 0.00192047 0.00199885 0.00206201 0.00210835 0.00213665 0.00214617 0.00213665 0.00210835 0.00206201 0.00199885 0.00192047 0.00182884 0.00172617 0.00161484 0.00149733 0.00137608 0.00125346 0.00113166 0.00101265 0.000898141 0.00078953 0.000687912 0.000594068 0.000508486 0.000431382 0.000362731 0.000302305 0.000249717 0.000204451 0.000165909 0.000133441 0.000106377 8.40522e-05 6.58246e-05 5.10937e-05 3.93084e-05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3.93084e-05 5.10937e-05 6.58246e-05 8.40522e-05 0.000106377 0.000133441 0.000165909 0.000204451 0.000249717 0.000302305 0.000362731 0.000431382 0.000508486 0.000594068 0.000687912 0.00078953 0.000898141 0.00101265 0.00113166 0.00125346 0.00137608 0.00149733 0.00161484 0.00172617 0.00182884 0.00192047 0.00199885 0.00206201 0.00210835 0.00213665 0.00214617 0.00213665 0.00210835 0.00206201 0.00199885 0.00192047 0.00182884 0.00177636 0.00168009 0.00158138 0.00148341 0.00138929 0.00130205 0.0012245 0.00115921 0.0011084 0.00107393 0.00109074 0.00110286 0.00113677 0.00119293 0.00127136 0.00137159 0.00149268 0.0016332 0.00179126 0.00196454 0.00215028 0.00234538 0.00254641 0.00274971 0.00292147 0.00312507 0.0033177 0.00349593 0.00365651 0.00379644 0.00391308 0.00400425 0.00406825 0.00410395 0.00411079 0.00408879 0.00403858 0.0039613 0.00385863 0.00373269 0.00358597 0.00342128 0.00324164 0.0030502 0.00285015 0.00264468 0.00243684 0.00222952 0.00202537 0.00182678 0.00163579 0.00145414 0.0012832 0.00112399 0.000977196 0.000843186 0.000722034 0.000613559 0.000517356 0.000432841 0.000359292 0.000257608 0.000212795 0.000174221 0.000141378 0.000113711 9.06489e-05 7.16246e-05 5.6092e-05 4.35391e-05 3.34964e-05 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3.24821e-06 4.22208e-06 5.43935e-06 6.94557e-06 8.7904e-06 1.10268e-05 1.37097e-05 1.68946e-05 2.06351e-05 2.49807e-05 2.99739e-05 3.56468e-05 4.20183e-05 4.90902e-05 5.68449e-05 6.52421e-05 7.4217e-05 8.36795e-05 9.35134e-05 0.000103578 0.000113711 0.00012373 0.000133441 0.00014264 0.000151125 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1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 +0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 +0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 diff --git a/src/Persistence_representations/test/persistence_heat_maps_test.cpp b/src/Persistence_representations/test/persistence_heat_maps_test.cpp new file mode 100644 index 00000000..b997382e --- /dev/null +++ b/src/Persistence_representations/test/persistence_heat_maps_test.cpp @@ -0,0 +1,394 @@ +/* This file is part of the Gudhi Library. The Gudhi library + * (Geometric Understanding in Higher Dimensions) is a generic C++ + * library for computational topology. + * + * Author(s): Pawel Dlotko + * + * Copyright (C) 2015 INRIA (France) + * + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + + + +#define BOOST_TEST_DYN_LINK +#define BOOST_TEST_MODULE "Persistence_representations" +#include +#include +#include + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Persistence_representations; + + + + + +BOOST_AUTO_TEST_CASE(check_construction_of_heat_maps) +{ + std::vector< std::vector > filter = create_Gaussian_filter(100,1); + Persistence_heat_maps p( "data/file_with_diagram" , filter , false , 1000 , 0 , 1 ); + p.print_to_file( "data/persistence_heat_map_from_file_with_diagram" ); + + Persistence_heat_maps q; + q.load_from_file( "data/persistence_heat_map_from_file_with_diagram" ); + + BOOST_CHECK( p == q ); +} + + +BOOST_AUTO_TEST_CASE(check_averages_of_heat_maps) +{ + std::vector< std::vector > filter = create_Gaussian_filter(30,1); + Persistence_heat_maps p( "data/file_with_diagram" , filter , false , 1000 , 0 , 10 ); + Persistence_heat_maps q( "data/file_with_diagram_1" , filter , false , 1000 , 0 , 10 ); + Persistence_heat_maps r( "data/file_with_diagram_2" , filter , false , 1000 , 0 , 10 ); + + Persistence_heat_maps av; + av.compute_average( {&p,&q,&r} ); + + Persistence_heat_maps template_average; + template_average.load_from_file( "data/template_average_of_heat_maps" ); + + BOOST_CHECK( av == template_average ); +} + + +BOOST_AUTO_TEST_CASE(check_median_of_heat_maps) +{ + std::vector< std::vector > filter = create_Gaussian_filter(30,1); + Persistence_heat_maps p( "data/file_with_diagram" , filter , false , 1000 , 0 , 1 ); + Persistence_heat_maps q( "data/file_with_diagram_1" , filter , false , 1000 , 0 , 1 ); + Persistence_heat_maps r( "data/file_with_diagram_2" , filter , false , 1000 , 0 , 1 ); + + std::vector< Persistence_heat_maps* > to_compute_median; + to_compute_median.push_back( &p ); + to_compute_median.push_back( &q ); + to_compute_median.push_back( &r ); + Persistence_heat_maps median; + median.compute_median( to_compute_median ); + + Persistence_heat_maps template_median; + template_median.load_from_file( "data/template_median_of_heat_maps" ); + + BOOST_CHECK( median == template_median ); +} + + +BOOST_AUTO_TEST_CASE(check_compute_percentage_of_active_of_heat_maps) +{ + std::vector< std::vector > filter = create_Gaussian_filter(30,1); + Persistence_heat_maps p( "data/file_with_diagram" , filter , false , 1000 , 0 , 1 ); + Persistence_heat_maps q( "data/file_with_diagram_1" , filter , false , 1000 , 0 , 1 ); + Persistence_heat_maps r( "data/file_with_diagram_2" , filter , false , 1000 , 0 , 1 ); + + std::vector< Persistence_heat_maps* > to_compute_percentage_of_active; + to_compute_percentage_of_active.push_back( &p ); + to_compute_percentage_of_active.push_back( &q ); + to_compute_percentage_of_active.push_back( &r ); + Persistence_heat_maps percentage_of_active; + percentage_of_active.compute_percentage_of_active( to_compute_percentage_of_active , 0.1 ); + + Persistence_heat_maps template_percentage_of_active; + template_percentage_of_active.load_from_file( "data/template_percentage_of_active_of_heat_maps" ); + + BOOST_CHECK( percentage_of_active == template_percentage_of_active ); +} + +BOOST_AUTO_TEST_CASE(check_vectorize_for_heat_maps) +{ + std::vector< std::vector > filter = create_Gaussian_filter(30,1); + Persistence_heat_maps p( "data/file_with_diagram" , filter , false , 5 , 0 , 1 ); + + std::vector p_vect_template; + + p_vect_template.push_back(0.0606728); + p_vect_template.push_back(0.0610023); + p_vect_template.push_back(0.0607978 ); + p_vect_template.push_back(0.0600647 ); + p_vect_template.push_back(0.0588224 ); + p_vect_template.push_back(0.0619829 ); + p_vect_template.push_back(0.0623218 ); + p_vect_template.push_back(0.0621152 ); + p_vect_template.push_back(0.0613686 ); + p_vect_template.push_back(0.0601016 ); + p_vect_template.push_back(0.0627679 ); + p_vect_template.push_back(0.0631134 ); + p_vect_template.push_back(0.0629066 ); + p_vect_template.push_back(0.0621528 ); + p_vect_template.push_back(0.0608719 ); + p_vect_template.push_back(0.0630073 ); + p_vect_template.push_back(0.0633564 ); + p_vect_template.push_back(0.0631511 ); + p_vect_template.push_back(0.0623968 ); + p_vect_template.push_back(0.0611132 ); + p_vect_template.push_back(0.0626947 ); + p_vect_template.push_back(0.0630445 ); + p_vect_template.push_back(0.0628425 ); + p_vect_template.push_back(0.0620941 ); + p_vect_template.push_back(0.060819); + + std::vector p_vect = p.vectorize(0); + for ( size_t i = 0 ; i != p_vect.size() ; ++i ) + { + BOOST_CHECK( almost_equal( p_vect_template[i] , p_vect[i] ) ); + } +} + + +BOOST_AUTO_TEST_CASE(check_distance_for_heat_maps) +{ + std::vector< std::vector > filter = create_Gaussian_filter(30,1); + Persistence_heat_maps p( "data/file_with_diagram" , filter , false , 1000 , 0 , 1 ); + Persistence_heat_maps q( "data/file_with_diagram_1" , filter , false , 1000 , 0 , 1 ); + Persistence_heat_maps r( "data/file_with_diagram_2" , filter , false , 1000 , 0 , 1 ); + + //cerr << p.distance( p ) << endl; + //cerr << p.distance( q ) << endl; + //cerr << p.distance( r ) << endl; + //cerr << q.distance( p ) << endl; + //cerr << q.distance( q ) << endl; + //cerr << q.distance( r ) << endl; + //cerr << r.distance( p ) << endl; + //cerr << r.distance( q ) << endl; + //cerr << r.distance( r ) << endl; + //0 624.183 415.815 + //624.183 0 528.06Z + //415.815 528.066 0 + + BOOST_CHECK( fabs( p.distance( p ) - 0) < 0.0005); + BOOST_CHECK( fabs( p.distance( q ) - 624.183)< 0.0005); + BOOST_CHECK( fabs( p.distance( r ) - 415.815)< 0.0005); + BOOST_CHECK( fabs( q.distance( p ) - 624.183)< 0.0005); + BOOST_CHECK( fabs( q.distance( q ) - 0)< 0.0005); + BOOST_CHECK( fabs( q.distance( r ) - 528.066)< 0.0005); + BOOST_CHECK( fabs( r.distance( p ) - 415.815)< 0.0005); + BOOST_CHECK( fabs( r.distance( q ) - 528.066)< 0.0005); + BOOST_CHECK( fabs( r.distance( r ) - 0)< 0.0005); +} + + + +BOOST_AUTO_TEST_CASE(check_projections_to_R_for_heat_maps) +{ + std::vector< std::vector > filter = create_Gaussian_filter(30,1); + Persistence_heat_maps p( "data/file_with_diagram" , filter , false , 1000 , 0 , 1 ); + Persistence_heat_maps q( "data/file_with_diagram_1" , filter , false , 1000 , 0 , 1 ); + Persistence_heat_maps r( "data/file_with_diagram_2" , filter , false , 1000 , 0 , 1 ); + + //cerr << p.project_to_R(0) << endl; + //cerr << q.project_to_R(0) << endl; + //cerr << r.project_to_R(0) << endl; + + BOOST_CHECK( fabs( p.project_to_R(0) - 44.3308 )< 0.0005); + BOOST_CHECK( fabs( q.project_to_R(0) - 650.568 )< 0.0005); + BOOST_CHECK( fabs( r.project_to_R(0) - 429.287 )< 0.0005); +} + + +BOOST_AUTO_TEST_CASE(check_scalar_products_for_heat_maps) +{ + std::vector< std::vector > filter = create_Gaussian_filter(30,1); + Persistence_heat_maps p( "data/file_with_diagram" , filter , false , 1000 , 0 , 1 ); + Persistence_heat_maps q( "data/file_with_diagram_1" , filter , false , 1000 , 0 , 1 ); + Persistence_heat_maps r( "data/file_with_diagram_2" , filter , false , 1000 , 0 , 1 ); + + //cerr << p.compute_scalar_product( p ) << endl; + //cerr << p.compute_scalar_product( q ) << endl; + //cerr << p.compute_scalar_product( r ) << endl; + //cerr << q.compute_scalar_product( p ) << endl; + //cerr << q.compute_scalar_product( q ) << endl; + //cerr << q.compute_scalar_product( r ) << endl; + //cerr << r.compute_scalar_product( p ) << endl; + //cerr << r.compute_scalar_product( q ) << endl; + //cerr << r.compute_scalar_product( r ) << endl; + + + BOOST_CHECK( fabs( p.compute_scalar_product( p ) - 0.0345687 )< 0.0005); + BOOST_CHECK( fabs( p.compute_scalar_product( q ) - 0.0509357 )< 0.0005); + BOOST_CHECK( fabs( p.compute_scalar_product( r ) - 0.0375608 )< 0.0005); + BOOST_CHECK( fabs( q.compute_scalar_product( p ) - 0.0509357 )< 0.0005); + BOOST_CHECK( fabs( q.compute_scalar_product( q ) - 1.31293 )< 0.0005); + BOOST_CHECK( fabs( q.compute_scalar_product( r ) - 0.536799)< 0.0005); + BOOST_CHECK( fabs( r.compute_scalar_product( p ) - 0.0375608)< 0.0005); + BOOST_CHECK( fabs( r.compute_scalar_product( q ) - 0.536799)< 0.0005); + BOOST_CHECK( fabs( r.compute_scalar_product( r ) - 0.672907)< 0.0005); + +} + + + +BOOST_AUTO_TEST_CASE(check_arythmetic_operations_for_heat_maps) +{ + std::vector< std::vector > filter = create_Gaussian_filter(30,1); + Persistence_heat_maps p( "data/file_with_diagram" , filter , false , 1000 , 0 , 1 ); + Persistence_heat_maps q( "data/file_with_diagram_1" , filter , false , 1000 , 0 , 1 ); + + Persistence_heat_maps sum = p + q; + Persistence_heat_maps difference = p - q; + Persistence_heat_maps multiply_by_scalar = 2*p; + + //sum.print_to_file( "sum" ); + //difference.print_to_file( "difference" ); + //multiply_by_scalar.print_to_file( "multiply_by_scalar" ); + + Persistence_heat_maps sum_template; + sum_template.load_from_file( "data/heat_map_sum" ); + Persistence_heat_maps difference_template; + difference_template.load_from_file( "data/heat_map_difference" ); + Persistence_heat_maps multiply_by_scalar_template; + multiply_by_scalar_template.load_from_file( "data/heat_map_multiply_by_scalar" ); + + BOOST_CHECK( sum == sum_template ); +} + +BOOST_AUTO_TEST_CASE(check_distance_of_heat_maps_infinite_power_parameters) +{ + std::vector< std::vector > filter = create_Gaussian_filter(100,1); + Persistence_heat_maps p( "data/file_with_diagram" , filter , false , 1000 , 0 , 1 ); + + std::vector< std::vector > filter_2 = create_Gaussian_filter(150,1); + Persistence_heat_maps q( "data/file_with_diagram" , filter_2 , true , 1000 , 0 , 1 ); + + double distance_max_double_parameter = p.distance( q , std::numeric_limits::max() ); + double distance_inf_double_parameter = p.distance( q , std::numeric_limits::infinity() ); + + //std::cerr << "distance_max_double_parameter: " << distance_max_double_parameter << std::endl; + //std::cerr << "distance_inf_double_parameter: " << distance_inf_double_parameter << std::endl; + + BOOST_CHECK( distance_max_double_parameter == distance_inf_double_parameter ); +} + + + + +//Below I am storing the code used to generate tests for that functionality. +/* + std::vector< std::pair< double,double > > intervals; + intervals.push_back( std::make_pair(0.5,0.5) ); + std::vector< std::vector > filter = create_Gaussian_filter(5,1); + Persistence_heat_maps p( intervals , filter , constant_function, false , 100 , 0 , 1 ); + p.plot( "heat_map_1" ); + + + std::vector< std::pair< double,double > > intervals2; + intervals2.push_back( std::make_pair(7,12) ); + Persistence_heat_maps q( intervals2 , filter , constant_function, false , 100 , 0 , 10 ); + q.plot( "heat_map_2" ); +*/ +/* + std::vector< std::pair< double,double > > intervals; + intervals.push_back( std::make_pair(0.5,0.5) ); + std::vector< std::vector > filter = create_Gaussian_filter(5,1); + Persistence_heat_maps p( intervals , filter , constant_function, false , 10 , 0 , 1 ); + p.write_to_file( "aaa" ); + + Persistence_heat_maps q; + q.load_from_file( "aaa" ); + + cerr << ( p == q ) << endl; + */ + +/* + std::vector< std::vector > filter = create_Gaussian_filter(30,1); + Persistence_heat_maps p( "file_with_diagram" , filter , constant_function, false , 100 , 0 , 1 ); + p.plot( "heat_map_1" ); +*/ + +/* + //test to construct persistence heat map: + std::vector< std::vector > filter = create_Gaussian_filter(100,1); + Persistence_heat_maps p( "file_with_diagram" , filter , constant_function, false , 1000 , 0 , 1 ); + p.print_to_file( "persistence_heat_map_from_file_with_diagram" ); + + Persistence_heat_maps q; + q.load_from_file( "persistence_heat_map_from_file_with_diagram" ); + + cerr << (p == q) << endl; +*/ +/* + //test of computations of a mean: + std::vector< std::pair< double,double > > intervals; + intervals.push_back( std::make_pair(5,5) ); + std::vector< std::vector > filter = create_Gaussian_filter(5,1); + Persistence_heat_maps p( intervals , filter , constant_function, false , 100 , 0 , 10 ); + p.plot( "heat_map_1" ); + + + std::vector< std::pair< double,double > > intervals2; + intervals2.push_back( std::make_pair(7,7) ); + Persistence_heat_maps q( intervals2 , filter , constant_function, false , 100 , 0 , 10 ); + q.plot( "heat_map_2" ); + + + Persistence_heat_maps av; + av.compute_average( { &P , &q } ); + av.plot( "average" ); +*/ + +/* + std::vector< std::vector > filter = create_Gaussian_filter(30,1); + Persistence_heat_maps p( "file_with_diagram" , filter , constant_function, false , 1000 , 0 , 10 ); + Persistence_heat_maps q( "file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 10 ); + Persistence_heat_maps r( "file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 10 ); + Persistence_heat_maps av; + av.compute_average( {&p,&q,&r} ); + + av.print_to_file( "template_average_of_heat_maps" ); +*/ + +/* + std::vector< std::pair< double,double > > intervals; + intervals.push_back( std::make_pair(5,5) ); + std::vector< std::vector > filter = create_Gaussian_filter(5,1); + Persistence_heat_maps p( intervals , filter , constant_function, false , 10 , 0 , 10 ); + p.plot( "heat_map_1" ); + + std::vector< std::pair< double,double > > intervals2; + intervals2.push_back( std::make_pair(7,7) ); + Persistence_heat_maps q( intervals2 , filter , constant_function, false , 10 , 0 , 10 ); + q.plot( "heat_map_2" ); + + Persistence_heat_maps median; + median.compute_median( {&p,&q} ); + median.plot( "median" ); +*/ + +/* + std::vector< std::vector > filter = create_Gaussian_filter(30,1); + Persistence_heat_maps p( "file_with_diagram" , filter , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps q( "file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps r( "file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps median; + median.compute_median( {&p,&q,&r} ); + median.print_to_file( "template_median_of_heat_maps" ); +*/ + + +/* + std::vector< std::vector > filter = create_Gaussian_filter(30,1); + Persistence_heat_maps p( "file_with_diagram" , filter , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps q( "file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps r( "file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 1 ); + + Persistence_heat_maps percentage_of_active; + percentage_of_active.compute_percentage_of_active( {&p,&q,&r} , 0.1 ); + + percentage_of_active.print_to_file( "template_percentage_of_active_of_heat_maps" ); + //percentage_of_active.plot( "template_percentage_of_active_of_heat_maps" ); +*/ diff --git a/src/Persistence_representations/test/persistence_intervals_test.cpp b/src/Persistence_representations/test/persistence_intervals_test.cpp new file mode 100644 index 00000000..8bad499a --- /dev/null +++ b/src/Persistence_representations/test/persistence_intervals_test.cpp @@ -0,0 +1,343 @@ +/* This file is part of the Gudhi Library. The Gudhi library + * (Geometric Understanding in Higher Dimensions) is a generic C++ + * library for computational topology. + * + * Author(s): Pawel Dlotko + * + * Copyright (C) 2015 INRIA (France) + * + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + + + +#define BOOST_TEST_DYN_LINK +#define BOOST_TEST_MODULE "Persistence_representations" +#include +#include +#include "gudhi/Persistence_intervals.h" + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Persistence_representations; + + +double epsilon = 0.0000005; + + + + + +//cout << "Left most end of the interval : " << min_max_.first << std::endl; +//cout << "Right most end of the interval : " << min_max_.second << std::endl; +BOOST_AUTO_TEST_CASE(check_min_max_function) +{ + Persistence_intervals p( "data/file_with_diagram" ); + std::pair min_max_ = p.get_x_range(); + + //cout << min_max_.first << " " << min_max_.second << std::endl;getchar(); + + BOOST_CHECK( fabs ( min_max_.first - 0.0290362 ) <= epsilon ); + BOOST_CHECK( fabs ( min_max_.second - 0.994537 ) <= epsilon ); +} + + + + + +BOOST_AUTO_TEST_CASE(check_length_of_dominant_intervals) +{ + Persistence_intervals p( "data/file_with_diagram" ); + std::vector dominant_ten_intervals_length = p.length_of_dominant_intervals(10); + std::vector< double > dominant_intervals_length; + dominant_intervals_length.push_back(0.862625); + dominant_intervals_length.push_back(0.800893); + dominant_intervals_length.push_back(0.762061); + dominant_intervals_length.push_back(0.756501); + dominant_intervals_length.push_back(0.729367); + dominant_intervals_length.push_back(0.718177); + dominant_intervals_length.push_back(0.708395); + dominant_intervals_length.push_back(0.702844); + dominant_intervals_length.push_back(0.700468); + dominant_intervals_length.push_back(0.622177); + for ( size_t i = 0 ; i != dominant_ten_intervals_length.size() ; ++i ) + { + BOOST_CHECK( fabs ( dominant_ten_intervals_length[i] - dominant_intervals_length[i] ) <= epsilon ); + } +} +BOOST_AUTO_TEST_CASE(check_dominant_intervals) +{ + Persistence_intervals p( "data/file_with_diagram" ); + std::vector< std::pair > ten_dominant_intervals = p.dominant_intervals( 10 ); + + std::vector< std::pair > templ; + templ.push_back( std::pair( 0.114718,0.977343) ); + templ.push_back( std::pair( 0.133638,0.93453) ); + templ.push_back( std::pair( 0.104599,0.866659) ); + templ.push_back( std::pair( 0.149798,0.906299) ); + templ.push_back( std::pair( 0.247352,0.976719) ); + templ.push_back( std::pair( 0.192675,0.910852) ); + templ.push_back( std::pair( 0.191836,0.900231) ); + templ.push_back( std::pair( 0.284998,0.987842) ); + templ.push_back( std::pair( 0.294069,0.994537) ); + templ.push_back( std::pair( 0.267421,0.889597) ); + + for ( size_t i = 0 ; i != ten_dominant_intervals.size() ; ++i ) + { + BOOST_CHECK( fabs ( ten_dominant_intervals[i].first - templ[i].first ) <= epsilon ); + BOOST_CHECK( fabs ( ten_dominant_intervals[i].second - templ[i].second ) <= epsilon ); + } +} + +BOOST_AUTO_TEST_CASE(check_histogram_of_lengths) +{ + Persistence_intervals p( "data/file_with_diagram" ); + std::vector< size_t > histogram = p.histogram_of_lengths( 10 ); + std::vector< size_t > template_histogram; + template_histogram.push_back(10); + template_histogram.push_back(5); + template_histogram.push_back(3); + template_histogram.push_back(4); + template_histogram.push_back(4); + template_histogram.push_back(3); + template_histogram.push_back(6); + template_histogram.push_back(1); + template_histogram.push_back(7); + template_histogram.push_back(1); + template_histogram.push_back(1); + for ( size_t i = 0 ; i != histogram.size() ; ++i ) + { + BOOST_CHECK( fabs ( histogram[i] - template_histogram[i] ) <= epsilon ); + } +} + +BOOST_AUTO_TEST_CASE(check_cumulative_histograms_of_lengths) +{ + Persistence_intervals p( "data/file_with_diagram" ); + std::vector< size_t > cumulative_histogram = p.cumulative_histogram_of_lengths( 10 ); + std::vector< size_t > template_cumulative_histogram; + template_cumulative_histogram.push_back(10); + template_cumulative_histogram.push_back(15); + template_cumulative_histogram.push_back(18); + template_cumulative_histogram.push_back(22); + template_cumulative_histogram.push_back(26); + template_cumulative_histogram.push_back(29); + template_cumulative_histogram.push_back(35); + template_cumulative_histogram.push_back(36); + template_cumulative_histogram.push_back(43); + template_cumulative_histogram.push_back(44); + template_cumulative_histogram.push_back(45); + + for ( size_t i = 0 ; i != cumulative_histogram.size() ; ++i ) + { + BOOST_CHECK( fabs ( cumulative_histogram[i] - template_cumulative_histogram[i] ) <= epsilon ); + } +} +BOOST_AUTO_TEST_CASE(check_characteristic_function_of_diagram) +{ + Persistence_intervals p( "data/file_with_diagram" ); + std::pair min_max_ = p.get_x_range(); + std::vector< double > char_funct_diag = p.characteristic_function_of_diagram( min_max_.first , min_max_.second ); + std::vector< double > template_char_funct_diag; + template_char_funct_diag.push_back( 0.370665 ); + template_char_funct_diag.push_back( 0.84058 ); + template_char_funct_diag.push_back( 1.24649 ); + template_char_funct_diag.push_back( 1.3664 ); + template_char_funct_diag.push_back( 1.34032 ); + template_char_funct_diag.push_back( 1.31904 ); + template_char_funct_diag.push_back( 1.14076 ); + template_char_funct_diag.push_back( 0.991259 ); + template_char_funct_diag.push_back( 0.800714 ); + template_char_funct_diag.push_back( 0.0676303 ); + + for ( size_t i = 0 ; i != char_funct_diag.size() ; ++i ) + { + //cout << char_funct_diag[i] << std::endl; + if ( fabs ( char_funct_diag[i] - template_char_funct_diag[i] ) >= 0.0001 ) + { + std::cout << "Boost test fail check_characteristic_function_of_diagram : " << std::endl; + std::cerr << char_funct_diag[i] << " " << template_char_funct_diag[i] << std::endl; + std::cerr << fabs ( char_funct_diag[i] - template_char_funct_diag[i] ) << std::endl; + std::cerr << 0.0001 << std::endl; + getchar(); + } + BOOST_CHECK( fabs ( char_funct_diag[i] - template_char_funct_diag[i] ) <= 0.0001 ); + } +} + + +BOOST_AUTO_TEST_CASE(check_cumulative_characteristic_function_of_diagram) +{ + Persistence_intervals p( "data/file_with_diagram" ); + std::pair min_max_ = p.get_x_range(); + std::vector< double > cumul_char_funct_diag = p.cumulative_characteristic_function_of_diagram( min_max_.first , min_max_.second ); + std::vector< double > template_char_funct_diag_cumul; + + template_char_funct_diag_cumul.push_back(0.370665); + template_char_funct_diag_cumul.push_back(1.21125); + template_char_funct_diag_cumul.push_back(2.45774); + template_char_funct_diag_cumul.push_back(3.82414); + template_char_funct_diag_cumul.push_back(5.16446); + template_char_funct_diag_cumul.push_back(6.4835); + template_char_funct_diag_cumul.push_back(7.62426); + template_char_funct_diag_cumul.push_back(8.61552); + template_char_funct_diag_cumul.push_back(9.41623); + template_char_funct_diag_cumul.push_back(9.48386); + + for ( size_t i = 0 ; i != cumul_char_funct_diag.size() ; ++i ) + { + //cout << cumul_char_funct_diag[i] << std::endl; + BOOST_CHECK( fabs (cumul_char_funct_diag[i] - template_char_funct_diag_cumul[i] ) <= 0.0001 ); + } +} + + +BOOST_AUTO_TEST_CASE(check_compute_persistent_betti_numbers) +{ + Persistence_intervals p( "data/file_with_diagram" ); + std::vector< std::pair< double , double > > pbns; + pbns.push_back(std::pair( 0.0290362,1 )); + pbns.push_back(std::pair( 0.0307676,2 )); + pbns.push_back(std::pair( 0.0366312,3 )); + pbns.push_back(std::pair( 0.0544614,4 )); + pbns.push_back(std::pair( 0.0920033,5 )); + pbns.push_back(std::pair( 0.104599,6 )); + pbns.push_back(std::pair( 0.114718,7 )); + pbns.push_back(std::pair( 0.117379,8 )); + pbns.push_back(std::pair( 0.123493,9 )); + pbns.push_back(std::pair( 0.133638,10 )); + pbns.push_back(std::pair( 0.137798,9 )); + pbns.push_back(std::pair( 0.149798,10 )); + pbns.push_back(std::pair( 0.155421,11 )); + pbns.push_back(std::pair( 0.158443,12 )); + pbns.push_back(std::pair( 0.176956,13 )); + pbns.push_back(std::pair( 0.183234,12 )); + pbns.push_back(std::pair( 0.191069,13 )); + pbns.push_back(std::pair( 0.191333,14 )); + pbns.push_back(std::pair( 0.191836,15 )); + pbns.push_back(std::pair( 0.192675,16 )); + pbns.push_back(std::pair( 0.208564,17 )); + pbns.push_back(std::pair( 0.218425,18 )); + pbns.push_back(std::pair( 0.219902,17 )); + pbns.push_back(std::pair( 0.23233,16 )); + pbns.push_back(std::pair( 0.234558,17 )); + pbns.push_back(std::pair( 0.237166,16 )); + pbns.push_back(std::pair( 0.247352,17 )); + pbns.push_back(std::pair( 0.267421,18 )); + pbns.push_back(std::pair( 0.268093,19 )); + pbns.push_back(std::pair( 0.278734,18 )); + pbns.push_back(std::pair( 0.284722,19 )); + pbns.push_back(std::pair( 0.284998,20 )); + pbns.push_back(std::pair( 0.294069,21 )); + pbns.push_back(std::pair( 0.306293,22 )); + pbns.push_back(std::pair( 0.322361,21 )); + pbns.push_back(std::pair( 0.323152,22 )); + pbns.push_back(std::pair( 0.371021,23 )); + pbns.push_back(std::pair( 0.372395,24 )); + pbns.push_back(std::pair( 0.387744,25 )); + pbns.push_back(std::pair( 0.435537,26 )); + pbns.push_back(std::pair( 0.462911,25 )); + pbns.push_back(std::pair( 0.483569,26 )); + pbns.push_back(std::pair( 0.489209,25 )); + pbns.push_back(std::pair( 0.517115,24 )); + pbns.push_back(std::pair( 0.522197,23 )); + pbns.push_back(std::pair( 0.532665,22 )); + pbns.push_back(std::pair( 0.545262,23 )); + pbns.push_back(std::pair( 0.587227,22 )); + pbns.push_back(std::pair( 0.593036,23 )); + pbns.push_back(std::pair( 0.602647,24 )); + pbns.push_back(std::pair( 0.605044,25 )); + pbns.push_back(std::pair( 0.621962,24 )); + pbns.push_back(std::pair( 0.629449,23 )); + pbns.push_back(std::pair( 0.636719,22 )); + pbns.push_back(std::pair( 0.64957,21 )); + pbns.push_back(std::pair( 0.650781,22 )); + pbns.push_back(std::pair( 0.654951,23 )); + pbns.push_back(std::pair( 0.683489,24 )); + pbns.push_back(std::pair( 0.687172,23 )); + pbns.push_back(std::pair( 0.69703,22 )); + pbns.push_back(std::pair( 0.701174,21 )); + pbns.push_back(std::pair( 0.717623,22 )); + pbns.push_back(std::pair( 0.722023,21 )); + pbns.push_back(std::pair( 0.722298,20 )); + pbns.push_back(std::pair( 0.725347,19 )); + pbns.push_back(std::pair( 0.73071,18 )); + pbns.push_back(std::pair( 0.758355,17 )); + pbns.push_back(std::pair( 0.770913,18 )); + pbns.push_back(std::pair( 0.790833,17 )); + pbns.push_back(std::pair( 0.821211,16 )); + pbns.push_back(std::pair( 0.849305,17 )); + pbns.push_back(std::pair( 0.853669,16 )); + pbns.push_back(std::pair( 0.866659,15 )); + pbns.push_back(std::pair( 0.872896,16 )); + pbns.push_back(std::pair( 0.889597,15 )); + pbns.push_back(std::pair( 0.900231,14 )); + pbns.push_back(std::pair( 0.903847,13 )); + pbns.push_back(std::pair( 0.906299,12 )); + pbns.push_back(std::pair( 0.910852,11 )); + pbns.push_back(std::pair( 0.93453,10 )); + pbns.push_back(std::pair( 0.944757,9 )); + pbns.push_back(std::pair( 0.947812,8 )); + pbns.push_back(std::pair( 0.959154,7 )); + pbns.push_back(std::pair( 0.975654,6 )); + pbns.push_back(std::pair( 0.976719,5 )); + pbns.push_back(std::pair( 0.977343,4 )); + pbns.push_back(std::pair( 0.980129,3 )); + pbns.push_back(std::pair( 0.987842,2 )); + pbns.push_back(std::pair( 0.990127,1 )); + pbns.push_back(std::pair( 0.994537,0 )); + + + + + std::vector< std::pair< double , size_t > > pbns_new = p.compute_persistent_betti_numbers(); + for ( size_t i = 0 ; i != pbns.size() ; ++i ) + { + //cout << pbns_new[i].first << "," << pbns_new[i].second << std::endl; + BOOST_CHECK( fabs ( pbns[i].first - pbns_new[i].first ) <= epsilon ); + BOOST_CHECK( fabs ( pbns[i].second - pbns_new[i].second ) <= epsilon ); + } +} + + + +BOOST_AUTO_TEST_CASE(check_k_n_n) +{ + Persistence_intervals p( "data/file_with_diagram" ); + std::vector< double > knn = p.k_n_n( 5 ); + std::vector< double > knn_template; + knn_template.push_back( 1.04208 ); + knn_template.push_back( 1.00344 ); + knn_template.push_back( 0.979395 ); + knn_template.push_back( 0.890643 ); + knn_template.push_back( 0.874769 ); + knn_template.push_back( 0.845787 ); + knn_template.push_back( 0.819713 ); + knn_template.push_back( 0.803984 ); + knn_template.push_back( 0.799864 ); + knn_template.push_back( 0.786945 ); + + for ( size_t i = 0 ; i != knn.size() ; ++i ) + { + //cout << knn[i] << std::endl; + BOOST_CHECK( fabs ( knn[i] - knn_template[i] ) <= 0.000005 ); + } +} + + + + diff --git a/src/Persistence_representations/test/persistence_intervals_with_distances_test.cpp b/src/Persistence_representations/test/persistence_intervals_with_distances_test.cpp new file mode 100644 index 00000000..703b5011 --- /dev/null +++ b/src/Persistence_representations/test/persistence_intervals_with_distances_test.cpp @@ -0,0 +1,70 @@ +/* This file is part of the Gudhi Library. The Gudhi library + * (Geometric Understanding in Higher Dimensions) is a generic C++ + * library for computational topology. + * + * Author(s): Pawel Dlotko + * + * Copyright (C) 2015 INRIA (France) + * + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + +#define BOOST_TEST_DYN_LINK +#define BOOST_TEST_MODULE "Persistence_representations" +#include +#include +#include "gudhi/Persistence_intervals_with_distances.h" +#include "gudhi/common_persistence_representations.h" + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Persistence_representations; + + +BOOST_AUTO_TEST_CASE(check_bottleneck_distances_computation) +{ + Persistence_intervals_with_distances p( "data/file_with_diagram" ); + Persistence_intervals_with_distances q( "data/file_with_diagram_1" ); + + double dist = p.distance( q ); + + //std::cout << "dist : " << dist << std::endl; + + BOOST_CHECK( almost_equal(dist,0.389043) ); +} + + +BOOST_AUTO_TEST_CASE(check_default_parameters_in_distance) +{ + Persistence_intervals_with_distances p( "data/file_with_diagram" ); + Persistence_intervals_with_distances q( "data/file_with_diagram_1" ); + + double default_parameter_distance = p.distance( q ); + double max_parameter_distance = p.distance( q , std::numeric_limits< double >::max() ); + double inf_parameter_distance = p.distance( q , std::numeric_limits::infinity() ); + + //std::cout << "default_parameter_distance : " << default_parameter_distance << std::endl; + //std::cout << "max_parameter_distance : " << max_parameter_distance << std::endl; + //std::cout << "inf_parameter_distance : " << inf_parameter_distance << std::endl; + + BOOST_CHECK( default_parameter_distance == max_parameter_distance ); + BOOST_CHECK( inf_parameter_distance == max_parameter_distance ); + BOOST_CHECK( inf_parameter_distance == max_parameter_distance ); +} + + + diff --git a/src/Persistence_representations/test/persistence_lanscapes_on_grid_test.cpp b/src/Persistence_representations/test/persistence_lanscapes_on_grid_test.cpp new file mode 100644 index 00000000..865a8280 --- /dev/null +++ b/src/Persistence_representations/test/persistence_lanscapes_on_grid_test.cpp @@ -0,0 +1,388 @@ +/* This file is part of the Gudhi Library. The Gudhi library + * (Geometric Understanding in Higher Dimensions) is a generic C++ + * library for computational topology. + * + * Author(s): Pawel Dlotko + * + * Copyright (C) 2015 INRIA (France) + * + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + + + +#define BOOST_TEST_DYN_LINK +#define BOOST_TEST_MODULE "Persistence_representations" +#include +#include +#include + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Persistence_representations; + + + + +BOOST_AUTO_TEST_CASE(check_construction_of_landscape) +{ + Persistence_landscape_on_grid l( "data/file_with_diagram_1" , 100 , std::numeric_limits::max()); + l.print_to_file( "landscape_from_file_with_diagram_1" ); + + Persistence_landscape_on_grid g; + g.load_landscape_from_file( "landscape_from_file_with_diagram_1" ); + + BOOST_CHECK( l == g ); +} + +BOOST_AUTO_TEST_CASE(check_construction_of_landscape_using_only_ten_levels) +{ + //TODO + unsigned number = 10; + Persistence_landscape_on_grid l( "data/file_with_diagram_1" , 100 , number ); + Persistence_landscape_on_grid g( "data/file_with_diagram_1" , 100 , std::numeric_limits::max()); + //cut all the elements of order > 10 in g. + + for ( size_t level = 0 ; level != number ; ++level ) + { + std::vector v1 = l.vectorize(level); + std::vector v2 = g.vectorize(level); + BOOST_CHECK( v1.size() == v2.size() ); + for ( size_t i = 0 ; i != v1.size() ; ++i ) + { + BOOST_CHECK( v1[i] == v2[i] ); + } + } + } + + + +BOOST_AUTO_TEST_CASE(check_computations_of_integrals) +{ + Persistence_landscape_on_grid p( "data/file_with_diagram_1" , 100 , std::numeric_limits::max()); + double integral = p.compute_integral_of_landscape(); + //cerr << "integral : " << integral << endl;getchar(); + BOOST_CHECK( fabs( integral - 27.343 ) <= 0.00005 ); +} + + +BOOST_AUTO_TEST_CASE(check_computations_of_integrals_for_each_level_separatelly) +{ + Persistence_landscape_on_grid p( "data/file_with_diagram_1" , 100, std::numeric_limits::max() ); + + std::vector< double > integrals_fir_different_levels; + //integrals_fir_different_levels.push_back(); + integrals_fir_different_levels.push_back(0.241168); + integrals_fir_different_levels.push_back(0.239276); + integrals_fir_different_levels.push_back(0.237882); + integrals_fir_different_levels.push_back(0.235193); + integrals_fir_different_levels.push_back(0.230115); + integrals_fir_different_levels.push_back(0.227626); + integrals_fir_different_levels.push_back(0.226132); + integrals_fir_different_levels.push_back(0.223643); + integrals_fir_different_levels.push_back(0.221651); + integrals_fir_different_levels.push_back(0.220556); + integrals_fir_different_levels.push_back(0.21727); + integrals_fir_different_levels.push_back(0.215976); + integrals_fir_different_levels.push_back(0.213685); + integrals_fir_different_levels.push_back(0.211993); + integrals_fir_different_levels.push_back(0.2102); + integrals_fir_different_levels.push_back(0.208707); + integrals_fir_different_levels.push_back(0.207014); + integrals_fir_different_levels.push_back(0.205122); + integrals_fir_different_levels.push_back(0.204226); + integrals_fir_different_levels.push_back(0.202633); + + + for ( size_t level = 0 ; level != integrals_fir_different_levels.size() ; ++level ) + { + double integral = p.compute_integral_of_landscape( level ); + //cerr << integral << endl; + BOOST_CHECK( fabs( integral - integrals_fir_different_levels[level] ) <= 0.00005 ); + } + +} + + + +BOOST_AUTO_TEST_CASE(check_computations_of_integrals_of_powers_of_landscape) +{ + Persistence_landscape_on_grid p( "data/file_with_diagram_1" , 100, std::numeric_limits::max() ); + + std::vector integrals_fir_different_powers; + integrals_fir_different_powers.push_back( 0.241168); + integrals_fir_different_powers.push_back( 0.239276); + integrals_fir_different_powers.push_back( 0.237882); + integrals_fir_different_powers.push_back( 0.235193); + integrals_fir_different_powers.push_back( 0.23011); + + for ( size_t power = 0 ; power != 5 ; ++power ) + { + double integral = p.compute_integral_of_landscape( power ); + //cerr << integral << endl; + BOOST_CHECK( fabs( integral - integrals_fir_different_powers[power] ) <= 0.00001 ); + } +} + + +BOOST_AUTO_TEST_CASE(check_computations_of_values_on_different_points) +{ + Persistence_landscape_on_grid p( "data/file_with_diagram_1" , 100, std::numeric_limits::max() ); + + std::vector< double > results_level_0; + results_level_0.push_back(0.00997867); + results_level_0.push_back(0.0521921); + results_level_0.push_back(0.104312); + results_level_0.push_back(0.156432); + results_level_0.push_back(0.208552); + results_level_0.push_back(0.260672); + results_level_0.push_back(0.312792); + results_level_0.push_back(0.364912); + results_level_0.push_back(0.417032); + results_level_0.push_back(0.429237); + + std::vector< double > results_level_10; + results_level_10.push_back(7.21433e-05); + results_level_10.push_back(0.0422135); + results_level_10.push_back(0.0943335); + results_level_10.push_back(0.146453); + results_level_10.push_back(0.198573); + results_level_10.push_back(0.240715); + results_level_10.push_back(0.272877); + results_level_10.push_back(0.324997); + results_level_10.push_back(0.359232); + results_level_10.push_back(0.379344); + + double x = 0.0012321; + double dx = 0.05212; + for ( size_t i = 0 ; i != 10 ; ++i ) + { + BOOST_CHECK( almost_equal( p.compute_value_at_a_given_point(0,x) , results_level_0[i] ) ); + BOOST_CHECK( almost_equal( p.compute_value_at_a_given_point(10,x) , results_level_10[i] ) ); + x += dx; + } +} + + +BOOST_AUTO_TEST_CASE(check_computations_sum_differences_and_multiplications) +{ + Persistence_landscape_on_grid p( "data/file_with_diagram_1" ,100 , std::numeric_limits::max()); + Persistence_landscape_on_grid second("data/file_with_diagram_1" , 100, std::numeric_limits::max() ); + + Persistence_landscape_on_grid sum = p + second; + Persistence_landscape_on_grid difference = p - second; + Persistence_landscape_on_grid multiply_by_scalar = 10*p; ; + + + Persistence_landscape_on_grid template_sum; + template_sum.load_landscape_from_file( "data/sum_on_grid_test" ); + + Persistence_landscape_on_grid template_difference; + template_difference.load_landscape_from_file( "data/difference_on_grid_test" ); + + Persistence_landscape_on_grid template_multiply_by_scalar; + template_multiply_by_scalar.load_landscape_from_file( "data/multiply_by_scalar_on_grid_test" ); + + BOOST_CHECK( sum == template_sum ); + BOOST_CHECK( difference == template_difference ); + BOOST_CHECK( multiply_by_scalar == template_multiply_by_scalar ); +} + + + +BOOST_AUTO_TEST_CASE(check_computations_of_maxima_and_norms) +{ + Persistence_landscape_on_grid p( "data/file_with_diagram_1" , 0. , 1. , 100 ); + Persistence_landscape_on_grid second("data/file_with_diagram_2" , 0. , 1. , 100 ); + Persistence_landscape_on_grid sum = p + second; + + //cerr << p.compute_maximum() << endl; + //cerr << p.compute_norm_of_landscape(1) << endl; + //cerr << p.compute_norm_of_landscape(2) << endl; + //cerr << p.compute_norm_of_landscape(3) << endl; + //cerr << compute_distance_of_landscapes_on_grid(p,sum,1) << endl; + //cerr << compute_distance_of_landscapes_on_grid(p,sum,2) << endl; + //cerr << compute_distance_of_landscapes_on_grid(p,sum,std::numeric_limits::max()) << endl; + + BOOST_CHECK( fabs( p.compute_maximum() - 0.46 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_norm_of_landscape(1) - 27.3373 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_norm_of_landscape(2) - 1.84143 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_norm_of_landscape(3) - 0.927067 ) <= 0.00001 ); + BOOST_CHECK( fabs( compute_distance_of_landscapes_on_grid(p,sum,1) - 16.8519 ) <= 0.00005 ); + BOOST_CHECK( fabs( compute_distance_of_landscapes_on_grid(p,sum,2) - 1.44542 ) <= 0.00001 ); + BOOST_CHECK( fabs(compute_distance_of_landscapes_on_grid(p,sum,std::numeric_limits::max()) - 0.45 ) <= 0.00001 ); +} + +BOOST_AUTO_TEST_CASE(check_default_parameters_of_distances ) +{ + std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); + Persistence_landscape_on_grid p( diag , 0. , 1. , 100 ); + + std::vector< std::pair< double , double > > diag1 = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram_1" ); + Persistence_landscape_on_grid q( diag1 , 0. , 1. , 100 ); + + double dist_numeric_limit_max = p.distance( q,std::numeric_limits::max() ); + double dist_infinity = p.distance( q,std::numeric_limits::infinity() ); + + BOOST_CHECK( dist_numeric_limit_max == dist_infinity ); +} + + + + +BOOST_AUTO_TEST_CASE(check_computations_of_averages) +{ + Persistence_landscape_on_grid p( "data/file_with_diagram", 0.,1.,100 ); + Persistence_landscape_on_grid q( "data/file_with_diagram_1", 0.,1.,100 ); + Persistence_landscape_on_grid av; + av.compute_average( {&p,&q} ); + + Persistence_landscape_on_grid template_average; + template_average.load_landscape_from_file( "data/average_on_a_grid" ); + BOOST_CHECK ( template_average == av ); +} + + + + +BOOST_AUTO_TEST_CASE(check_computations_of_distances) +{ + Persistence_landscape_on_grid p( "data/file_with_diagram", 0.,1.,10000 ); + Persistence_landscape_on_grid q( "data/file_with_diagram_1", 0.,1.,10000 ); + BOOST_CHECK( fabs( p.distance( q )- 25.5779) <= 0.00005 ); + BOOST_CHECK( fabs( p.distance( q , 2) - 2.04891) <= 0.00001 ); + BOOST_CHECK( fabs( p.distance( q , std::numeric_limits::max() )-0.359 ) <= 0.00001 ); +} + + +BOOST_AUTO_TEST_CASE(check_computations_of_scalar_product) +{ + Persistence_landscape_on_grid p( "data/file_with_diagram" , 0.,1.,10000); + Persistence_landscape_on_grid q( "data/file_with_diagram_1", 0.,1.,10000 ); + //std::cerr << p.compute_scalar_product( q ) << std::endl; + BOOST_CHECK( almost_equal( p.compute_scalar_product( q ) , 0.754367 ) ); +} + + + + +//Below I am storing the code used to generate tests for that functionality. +/* + Persistence_landscape_on_grid l( "file_with_diagram_1" , 100 ); + l.print_to_file( "landscape_from_file_with_diagram_1" ); + + Persistence_landscape_on_grid g; + g.load_landscape_from_file( "landscape_from_file_with_diagram_1" ); + + cerr << ( l == g ); + */ + + /* + Persistence_landscape_on_grid l( "file_with_diagram_1" , 100 ); + cerr << l << endl; + cerr << l.compute_integral_of_landscape() << endl; + */ + + /* + Persistence_landscape_on_grid p( "file_with_diagram_1" , 100 ); + for ( size_t level = 0 ; level != 30 ; ++level ) + { + double integral = p.compute_integral_of_landscape( level ); + cerr << integral << endl; + } + */ + + /* + Persistence_landscape_on_grid p( "file_with_diagram_1" , 100 ); + for ( size_t power = 0 ; power != 5 ; ++power ) + { + double integral = p.compute_integral_of_landscape( (double)power ); + cerr << integral << endl; + } + */ + + /* + Persistence_landscape_on_grid p( "file_with_diagram_1" , 100 ); + double x = 0.0012321; + double dx = 0.05212; + for ( size_t i = 0 ; i != 10 ; ++i ) + { + cerr << p.compute_value_at_a_given_point(10,x) << endl; + x += dx; + } + */ + + /* + Persistence_landscape_on_grid p( "file_with_diagram_1",100 ); + Persistence_landscape_on_grid second("file_with_diagram_1",100 ); + Persistence_landscape_on_grid sum = p + second; + Persistence_landscape_on_grid difference = p - second; + Persistence_landscape_on_grid multiply_by_scalar = 10*p; + sum.print_to_file( "sum_on_grid_test" ); + difference.print_to_file( "difference_on_grid_test" ); + multiply_by_scalar.print_to_file( "multiply_by_scalar_on_grid_test" ); + */ + + + /* + Persistence_landscape_on_grid p( "file_with_diagram_1" , 0 , 1 , 100 ); + Persistence_landscape_on_grid second("file_with_diagram_1", 0 , 1 , 100 ); + Persistence_landscape_on_grid sum = p + second; + + cerr << "max : " << p.compute_maximum() << endl; + cerr << "1-norm : " << p.compute_norm_of_landscape(1) << endl; + cerr << "2-norm : " << p.compute_norm_of_landscape(2) << endl; + cerr << "3-norm : " << p.compute_norm_of_landscape(3) << endl; + + cerr << compute_distance_of_landscapes_on_grid(p,sum,1) << endl; + cerr << compute_distance_of_landscapes_on_grid(p,sum,2) << endl; + cerr << compute_distance_of_landscapes_on_grid(p,sum,-1) << endl; + */ + + /* + Persistence_landscape_on_grid p( "file_with_diagram", 0,1,100 ); + Persistence_landscape_on_grid q( "file_with_diagram_1", 0,1,100 ); + Persistence_landscape_on_grid av; + av.compute_average( {&p,&q} ); + av.print_to_file("average_on_a_grid"); + + Persistence_landscape_on_grid template_average; + template_average.load_landscape_from_file( "average_on_a_grid" ); + if ( template_average == av ) + { + cerr << "OK OK \n"; + }*/ + + /* + Persistence_landscape_on_grid p( "file_with_diagram" , 0,1,10000); + Persistence_landscape_on_grid q( "file_with_diagram_1" , 0,1,10000); + cerr << p.distance( &q )<< endl; + cerr << p.distance( &q , 2 ) << endl; + cerr << p.distance( &q , std::numeric_limits::max() ) << endl; + */ + +/* + Persistence_landscape_on_grid p( "file_with_diagram", 0,1,10000 ); + Persistence_landscape_on_grid q( "file_with_diagram_1", 0,1,10000 ); + + //std::vector< std::pair< double,double > > aa; + //aa.push_back( std::make_pair( 0,1 ) ); + //Persistence_landscape_on_grid p( aa, 0,1,10 ); + //Persistence_landscape_on_grid q( aa, 0,1,10 ); + cerr << p.compute_scalar_product( &q ) << endl; +*/ + diff --git a/src/Persistence_representations/test/persistence_lanscapes_test.cpp b/src/Persistence_representations/test/persistence_lanscapes_test.cpp new file mode 100644 index 00000000..c1e24b1c --- /dev/null +++ b/src/Persistence_representations/test/persistence_lanscapes_test.cpp @@ -0,0 +1,384 @@ +/* This file is part of the Gudhi Library. The Gudhi library + * (Geometric Understanding in Higher Dimensions) is a generic C++ + * library for computational topology. + * + * Author(s): Pawel Dlotko + * + * Copyright (C) 2015 INRIA (France) + * + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + + + +#define BOOST_TEST_DYN_LINK +#define BOOST_TEST_MODULE "Persistence_representations" +#include +#include +#include + +#include +#include + + + +using namespace Gudhi; +using namespace Gudhi::Persistence_representations; + + +double epsilon = 0.0000005; + + + + +BOOST_AUTO_TEST_CASE(check_construction_of_landscape) +{ + std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); + Persistence_landscape p( diag ); + Persistence_landscape q; + q.load_landscape_from_file( "data/file_with_landscape_from_file_with_diagram" ); + BOOST_CHECK( p == q ); +} + + +BOOST_AUTO_TEST_CASE(check_construction_of_landscape_form_gudhi_style_file) +{ + Persistence_landscape p( "data/persistence_file_with_four_entries_per_line" , 1 ); + //p.print_to_file("persistence_file_with_four_entries_per_line_landscape"); + Persistence_landscape q; + q.load_landscape_from_file( "data/persistence_file_with_four_entries_per_line_landscape" ); + BOOST_CHECK( p == q ); +} + + +BOOST_AUTO_TEST_CASE(check_computations_of_integrals) +{ + std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); + Persistence_landscape p( diag ); + double integral = p.compute_integral_of_landscape(); + //cerr << integral << " " << 2.34992 << endl; + BOOST_CHECK( fabs( integral - 2.34992 ) <= 0.00001 ); +} + + +BOOST_AUTO_TEST_CASE(check_computations_of_integrals_for_each_level_separatelly) +{ + std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); + Persistence_landscape p( diag ); + + std::vector< double > integrals_fir_different_levels; + integrals_fir_different_levels.push_back( 0.216432 ); + integrals_fir_different_levels.push_back( 0.204763 ); + integrals_fir_different_levels.push_back( 0.188793 ); + integrals_fir_different_levels.push_back( 0.178856 ); + integrals_fir_different_levels.push_back( 0.163142 ); + integrals_fir_different_levels.push_back( 0.155015 ); + integrals_fir_different_levels.push_back( 0.143046 ); + integrals_fir_different_levels.push_back( 0.133765 ); + integrals_fir_different_levels.push_back( 0.123531 ); + integrals_fir_different_levels.push_back( 0.117393 ); + integrals_fir_different_levels.push_back( 0.111269 ); + integrals_fir_different_levels.push_back( 0.104283 ); + integrals_fir_different_levels.push_back( 0.0941308 ); + integrals_fir_different_levels.push_back( 0.0811208 ); + integrals_fir_different_levels.push_back( 0.0679001 ); + integrals_fir_different_levels.push_back( 0.0580801 ); + integrals_fir_different_levels.push_back( 0.0489647 ); + integrals_fir_different_levels.push_back( 0.0407936 ); + integrals_fir_different_levels.push_back( 0.0342599 ); + integrals_fir_different_levels.push_back( 0.02896 ); + integrals_fir_different_levels.push_back( 0.0239881 ); + integrals_fir_different_levels.push_back( 0.0171792 ); + integrals_fir_different_levels.push_back( 0.0071511 ); + integrals_fir_different_levels.push_back( 0.00462067 ); + integrals_fir_different_levels.push_back( 0.00229033 ); + integrals_fir_different_levels.push_back( 0.000195296 ); + + + + + for ( size_t level = 0 ; level != p.size() ; ++level ) + { + double integral = p.compute_integral_of_a_level_of_a_landscape( level ); + BOOST_CHECK( fabs( integral - integrals_fir_different_levels[level] ) <= 0.00001 ); + } + +} + +BOOST_AUTO_TEST_CASE(check_computations_of_integrals_of_powers_of_landscape) +{ + std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); + Persistence_landscape p( diag ); + + std::vector integrals_fir_different_powers; + integrals_fir_different_powers.push_back( 17.1692 ); + integrals_fir_different_powers.push_back( 2.34992 ); + integrals_fir_different_powers.push_back( 0.49857 ); + integrals_fir_different_powers.push_back( 0.126405 ); + integrals_fir_different_powers.push_back( 0.0355235 ); + + for ( size_t power = 0 ; power != 5 ; ++power ) + { + double integral = p.compute_integral_of_landscape( (double)power ); + BOOST_CHECK( fabs( integral - integrals_fir_different_powers[power] ) <= 0.00005 ); + } +} + +BOOST_AUTO_TEST_CASE(check_computations_of_values_on_different_points) +{ + std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); + Persistence_landscape p( diag ); + + + BOOST_CHECK( fabs( p.compute_value_at_a_given_point(1,0.0) ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_value_at_a_given_point(1,0.1) - 0.0692324 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_value_at_a_given_point(1,0.2) - 0.163369 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_value_at_a_given_point(1,0.3) - 0.217115 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_value_at_a_given_point(2,0.0) ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_value_at_a_given_point(2,0.1) - 0.0633688 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_value_at_a_given_point(2,0.2) - 0.122361 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_value_at_a_given_point(2,0.3) - 0.195401 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_value_at_a_given_point(3,0.0) ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_value_at_a_given_point(3,0.1) - 0.0455386 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_value_at_a_given_point(3,0.2) - 0.0954012 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_value_at_a_given_point(3,0.3) - 0.185282 ) <= 0.00001 ); +} + + +BOOST_AUTO_TEST_CASE(check_computations_sum_differences_and_multiplications) +{ + std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); + Persistence_landscape p( diag ); + Persistence_landscape second; + second.load_landscape_from_file("data/file_with_landscape_from_file_with_diagram_1" ); + + Persistence_landscape sum = p + second; + Persistence_landscape difference = p - second; + Persistence_landscape multiply_by_scalar = 10*p; + + + Persistence_landscape template_sum; + template_sum.load_landscape_from_file( "data/sum" ); + + Persistence_landscape template_difference; + template_difference.load_landscape_from_file( "data/difference" ); + + Persistence_landscape template_multiply_by_scalar; + template_multiply_by_scalar.load_landscape_from_file( "data/multiply_by_scalar" ); + + BOOST_CHECK( sum == template_sum ); + BOOST_CHECK( difference == template_difference ); + BOOST_CHECK( multiply_by_scalar == template_multiply_by_scalar ); +} + + + +BOOST_AUTO_TEST_CASE(check_computations_of_maxima_and_norms) +{ + std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); + Persistence_landscape p( diag ); + Persistence_landscape second; + second.load_landscape_from_file("data/file_with_landscape_from_file_with_diagram_1" ); + Persistence_landscape sum = p + second; + + BOOST_CHECK( fabs( p.compute_maximum() - 0.431313 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_norm_of_landscape(1) - 2.34992 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_norm_of_landscape(2) - 0.706095 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_norm_of_landscape(3) - 0.501867 ) <= 0.00001 ); + BOOST_CHECK( fabs( compute_distance_of_landscapes(p,sum,1) - 27.9323 ) <= 0.00005 ); + BOOST_CHECK( fabs( compute_distance_of_landscapes(p,sum,2) - 2.35199 ) <= 0.00001 ); + BOOST_CHECK( fabs(compute_distance_of_landscapes( p , sum , std::numeric_limits::max() ) - 0.464478 ) <= 0.00001 ); +} + + +BOOST_AUTO_TEST_CASE(check_default_parameters_of_distances ) +{ + std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); + Persistence_landscape p( diag ); + + std::vector< std::pair< double , double > > diag1 = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram_1" ); + Persistence_landscape q( diag1 ); + + double dist_numeric_limit_max = p.distance( q,std::numeric_limits::max() ); + double dist_infinity = p.distance( q,std::numeric_limits::infinity() ); + + BOOST_CHECK( dist_numeric_limit_max == dist_infinity ); +} + +BOOST_AUTO_TEST_CASE(check_computations_of_averages) +{ + std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); + Persistence_landscape p( diag ); + std::vector< std::pair< double , double > > diag2 = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram_1" ); + Persistence_landscape q( diag2 ); + Persistence_landscape av; + av.compute_average( {&p,&q} ); + + Persistence_landscape template_average; + template_average.load_landscape_from_file( "data/average" ); + BOOST_CHECK ( template_average == av ); +} + + + + +BOOST_AUTO_TEST_CASE(check_computations_of_distances) +{ + std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); + Persistence_landscape p( diag ); + std::vector< std::pair< double , double > > diag2 = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram_1" ); + Persistence_landscape q( diag2 ); + BOOST_CHECK( fabs( p.distance( q )- 25.5824) <= 0.00005 ); + BOOST_CHECK( fabs( p.distance( q , 2) - 2.12636 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.distance( q , std::numeric_limits::max() )-0.359068 ) <= 0.00001 ); + std::cerr << "p.distance( q , std::numeric_limits::max() ) : " << p.distance( q , std::numeric_limits::max() ) << std::endl; +} + + +BOOST_AUTO_TEST_CASE(check_computations_of_scalar_product) +{ + std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); + Persistence_landscape p( diag ); + std::vector< std::pair< double , double > > diag2 = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram_1" ); + Persistence_landscape q( diag2 ); + BOOST_CHECK( fabs( p.compute_scalar_product( q ) - 0.754498 ) <= 0.00001 ); +} + + + +//Below I am storing the code used to generate tests for that functionality. +/* +if ( argc != 2 ) + { + std::cerr << "To run this program, please provide a name of a file with persistence landscape \n"; + //return 1; + } + Persistence_landscape p("../test/data/file_with_diagram"); + + Persistence_landscape q; + q.load_landscape_from_file( "file_with_landscape_from_file_with_diagram" ); + + if ( p != q ) + { + cout << "Not equal \n"; + } + + double integral = p.compute_integral_of_landscape(); + cout << "integral : " << integral <::max() ) << endl; + + { + Persistence_landscape p( "../test/data/file_with_diagram" ); + Persistence_landscape q( "../test/data/file_with_diagram_1" ); + Persistence_landscape av; + av.compute_average( {&p,&q} ); + + Persistence_landscape template_average; + template_average.load_landscape_from_file( "average" ); + if ( template_average != av ) + { + cerr << "We have a problem with average \n"; + } + } + + + { + Persistence_landscape p( "../test/data/file_with_diagram" ); + Persistence_landscape q( "../test/data/file_with_diagram_1" ); + cout << "L^1 distance : " << p.distance( &q ) << endl; + cout << "L^2 distance : " << p.distance( &q , 2) << endl; + cout << "L^infty distance : " << p.distance( &q , std::numeric_limits::max() ) << endl; + } + + + { + Persistence_landscape p( "../test/data/file_with_diagram" ); + Persistence_landscape q( "../test/data/file_with_diagram_1" ); + cout << "Scalar product : " << p.compute_scalar_product( &q ) << endl; + } +*/ diff --git a/src/Persistence_representations/test/read_persistence_from_file_test.cpp b/src/Persistence_representations/test/read_persistence_from_file_test.cpp new file mode 100644 index 00000000..69493efb --- /dev/null +++ b/src/Persistence_representations/test/read_persistence_from_file_test.cpp @@ -0,0 +1,115 @@ +/* This file is part of the Gudhi Library. The Gudhi library + * (Geometric Understanding in Higher Dimensions) is a generic C++ + * library for computational topology. + * + * Author(s): Pawel Dlotko + * + * Copyright (C) 2015 INRIA (France) + * + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + + + +#define BOOST_TEST_DYN_LINK +#define BOOST_TEST_MODULE "Persistence_representations" +#include +#include +#include + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Persistence_representations; + + + + + +BOOST_AUTO_TEST_CASE(test_read_file_with_four_elements_per_line) +{ + std::vector< std::pair< double,double > > what_we_should_get; + what_we_should_get.push_back( std::make_pair( 0 , 2 ) ); + what_we_should_get.push_back( std::make_pair( 10 , 1000 ) ); + what_we_should_get.push_back( std::make_pair( 10 , 90 ) ); + what_we_should_get.push_back( std::make_pair( 4 , 4 ) ); + std::vector > what_we_get = read_persistence_intervals_in_one_dimension_from_file("data/persistence_file_with_four_entries_per_line" , 1 , 1000 ); + + + //for ( size_t i = 0 ; i != what_we_get.size() ; ++i ) + //{ + // std::cerr << what_we_get[i].first << " , " << what_we_get[i].second << std::endl; + //} + + BOOST_CHECK( what_we_should_get.size() == what_we_get.size() ); + + for ( size_t i = 0 ; i != what_we_get.size() ; ++i ) + { + BOOST_CHECK( what_we_should_get[i] == what_we_get[i] ); + } +} + + +BOOST_AUTO_TEST_CASE(test_read_file_with_three_elements_per_line) +{ + std::vector< std::pair< double,double > > what_we_should_get; + what_we_should_get.push_back( std::make_pair( 4 , 9999 ) ); + what_we_should_get.push_back( std::make_pair( 0 , 1 ) ); + what_we_should_get.push_back( std::make_pair( 1 , 9999 ) ); + what_we_should_get.push_back( std::make_pair( 10 , 90 ) ); + what_we_should_get.push_back( std::make_pair( 4 , 4 ) ); + + std::vector > what_we_get = read_persistence_intervals_in_one_dimension_from_file("data/persistence_file_with_three_entries_per_line" , 1 , 9999 ); + + + //for ( size_t i = 0 ; i != what_we_get.size() ; ++i ) + //{ + // std::cerr << what_we_get[i].first << " , " << what_we_get[i].second << std::endl; + //} + + BOOST_CHECK( what_we_should_get.size() == what_we_get.size() ); + + for ( size_t i = 0 ; i != what_we_get.size() ; ++i ) + { + BOOST_CHECK( what_we_should_get[i] == what_we_get[i] ); + } +} + + +BOOST_AUTO_TEST_CASE(test_read_file_with_two_elements_per_line) +{ + std::vector< std::pair< double,double > > what_we_should_get; + what_we_should_get.push_back( std::make_pair( 4 , 10 ) ); + what_we_should_get.push_back( std::make_pair( 4 , 9999 ) ); + what_we_should_get.push_back( std::make_pair( 0 , 1 ) ); + what_we_should_get.push_back( std::make_pair( 1 , 4 ) ); + + std::vector > what_we_get = read_persistence_intervals_in_one_dimension_from_file("data/persistence_file_with_two_entries_per_line" , 1 , 9999 ); + + + //for ( size_t i = 0 ; i != what_we_get.size() ; ++i ) + //{ + // std::cerr << what_we_get[i].first << " , " << what_we_get[i].second << std::endl; + //} + + BOOST_CHECK( what_we_should_get.size() == what_we_get.size() ); + + for ( size_t i = 0 ; i != what_we_get.size() ; ++i ) + { + BOOST_CHECK( what_we_should_get[i] == what_we_get[i] ); + } +} + diff --git a/src/Persistence_representations/test/vector_representation_test.cpp b/src/Persistence_representations/test/vector_representation_test.cpp new file mode 100644 index 00000000..5e185445 --- /dev/null +++ b/src/Persistence_representations/test/vector_representation_test.cpp @@ -0,0 +1,413 @@ +/* This file is part of the Gudhi Library. The Gudhi library + * (Geometric Understanding in Higher Dimensions) is a generic C++ + * library for computational topology. + * + * Author(s): Pawel Dlotko + * + * Copyright (C) 2015 INRIA (France) + * + * This program is free software: you can redistribute it and/or modify + * it under the terms of the GNU General Public License as published by + * the Free Software Foundation, either version 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ + + +#include +#include +#include + +#define BOOST_TEST_DYN_LINK +#define BOOST_TEST_MODULE "Persistence_representations" +#include +#include +#include +#include +#include + + +using namespace Gudhi; +using namespace Gudhi::Persistence_representations; + + + + + + + +BOOST_AUTO_TEST_CASE(check_read_write_to_files) +{ + std::vector< std::pair > intervals; + intervals.push_back( std::make_pair(2,3) ); + intervals.push_back( std::make_pair(4,7) ); + intervals.push_back( std::make_pair(9,10) ); + intervals.push_back( std::make_pair(3,11) ); + Vector_distances_in_diagram< Euclidean_distance > p( intervals , -1 ); + p.write_to_file( "test_vector_representation_write_read" ); + + Vector_distances_in_diagram< Euclidean_distance > q; + q.load_from_file( "test_vector_representation_write_read" ); + + BOOST_CHECK( p == q ); + +} + + +BOOST_AUTO_TEST_CASE(check_sortev_vector_distances_template) +{ + Vector_distances_in_diagram< Euclidean_distance > p( "data/file_with_diagram" , 100 ); + std::vector< double > sortev_vector_distances_template; + + sortev_vector_distances_template.push_back( 0.609968 ); + sortev_vector_distances_template.push_back( 0.566317 ); + sortev_vector_distances_template.push_back( 0.538858 ); + sortev_vector_distances_template.push_back( 0.534927 ); + sortev_vector_distances_template.push_back( 0.515741 ); + sortev_vector_distances_template.push_back( 0.507828 ); + sortev_vector_distances_template.push_back( 0.500911 ); + sortev_vector_distances_template.push_back( 0.496986 ); + sortev_vector_distances_template.push_back( 0.495306 ); + sortev_vector_distances_template.push_back( 0.439945 ); + sortev_vector_distances_template.push_back( 0.424097 ); + sortev_vector_distances_template.push_back( 0.413891 ); + sortev_vector_distances_template.push_back( 0.413891 ); + sortev_vector_distances_template.push_back( 0.413891 ); + sortev_vector_distances_template.push_back( 0.412621 ); + sortev_vector_distances_template.push_back( 0.410613 ); + sortev_vector_distances_template.push_back( 0.407853 ); + sortev_vector_distances_template.push_back( 0.407853 ); + sortev_vector_distances_template.push_back( 0.402306 ); + sortev_vector_distances_template.push_back( 0.401937 ); + sortev_vector_distances_template.push_back( 0.377605 ); + sortev_vector_distances_template.push_back( 0.363859 ); + sortev_vector_distances_template.push_back( 0.357765 ); + sortev_vector_distances_template.push_back( 0.357765 ); + sortev_vector_distances_template.push_back( 0.357765 ); + sortev_vector_distances_template.push_back( 0.357765 ); + sortev_vector_distances_template.push_back( 0.357765 ); + sortev_vector_distances_template.push_back( 0.353401 ); + sortev_vector_distances_template.push_back( 0.348004 ); + sortev_vector_distances_template.push_back( 0.345124 ); + sortev_vector_distances_template.push_back( 0.345124 ); + sortev_vector_distances_template.push_back( 0.345124 ); + sortev_vector_distances_template.push_back( 0.345124 ); + sortev_vector_distances_template.push_back( 0.345124 ); + sortev_vector_distances_template.push_back( 0.345124 ); + sortev_vector_distances_template.push_back( 0.345124 ); + sortev_vector_distances_template.push_back( 0.345124 ); + sortev_vector_distances_template.push_back( 0.345124 ); + sortev_vector_distances_template.push_back( 0.345124 ); + sortev_vector_distances_template.push_back( 0.345124 ); + sortev_vector_distances_template.push_back( 0.345124 ); + sortev_vector_distances_template.push_back( 0.345124 ); + sortev_vector_distances_template.push_back( 0.345124 ); + sortev_vector_distances_template.push_back( 0.34469 ); + sortev_vector_distances_template.push_back( 0.339466 ); + sortev_vector_distances_template.push_back( 0.33935 ); + sortev_vector_distances_template.push_back( 0.32834 ); + sortev_vector_distances_template.push_back( 0.327276 ); + sortev_vector_distances_template.push_back( 0.318626 ); + sortev_vector_distances_template.push_back( 0.318082 ); + sortev_vector_distances_template.push_back( 0.30603 ); + sortev_vector_distances_template.push_back( 0.30525 ); + sortev_vector_distances_template.push_back( 0.297308 ); + sortev_vector_distances_template.push_back( 0.296333 ); + sortev_vector_distances_template.push_back( 0.296333 ); + sortev_vector_distances_template.push_back( 0.296333 ); + sortev_vector_distances_template.push_back( 0.296333 ); + sortev_vector_distances_template.push_back( 0.293372 ); + sortev_vector_distances_template.push_back( 0.292666 ); + sortev_vector_distances_template.push_back( 0.292666 ); + sortev_vector_distances_template.push_back( 0.292666 ); + sortev_vector_distances_template.push_back( 0.292666 ); + sortev_vector_distances_template.push_back( 0.292666 ); + sortev_vector_distances_template.push_back( 0.292666 ); + sortev_vector_distances_template.push_back( 0.292666 ); + sortev_vector_distances_template.push_back( 0.292666 ); + sortev_vector_distances_template.push_back( 0.292666 ); + sortev_vector_distances_template.push_back( 0.292666 ); + sortev_vector_distances_template.push_back( 0.292666 ); + sortev_vector_distances_template.push_back( 0.292666 ); + sortev_vector_distances_template.push_back( 0.292666 ); + sortev_vector_distances_template.push_back( 0.292666 ); + sortev_vector_distances_template.push_back( 0.292666 ); + sortev_vector_distances_template.push_back( 0.29029 ); + sortev_vector_distances_template.push_back( 0.290218 ); + sortev_vector_distances_template.push_back( 0.289782 ); + sortev_vector_distances_template.push_back( 0.288128 ); + sortev_vector_distances_template.push_back( 0.286416 ); + sortev_vector_distances_template.push_back( 0.285969 ); + sortev_vector_distances_template.push_back( 0.282046 ); + sortev_vector_distances_template.push_back( 0.28154 ); + sortev_vector_distances_template.push_back( 0.281085 ); + sortev_vector_distances_template.push_back( 0.280227 ); + sortev_vector_distances_template.push_back( 0.279273 ); + sortev_vector_distances_template.push_back( 0.278936 ); + sortev_vector_distances_template.push_back( 0.278706 ); + sortev_vector_distances_template.push_back( 0.278507 ); + sortev_vector_distances_template.push_back( 0.278097 ); + sortev_vector_distances_template.push_back( 0.276293 ); + sortev_vector_distances_template.push_back( 0.276293 ); + sortev_vector_distances_template.push_back( 0.276293 ); + sortev_vector_distances_template.push_back( 0.276293 ); + sortev_vector_distances_template.push_back( 0.276293 ); + sortev_vector_distances_template.push_back( 0.276293 ); + sortev_vector_distances_template.push_back( 0.276293 ); + sortev_vector_distances_template.push_back( 0.276293 ); + sortev_vector_distances_template.push_back( 0.276293 ); + sortev_vector_distances_template.push_back( 0.276169 ); + sortev_vector_distances_template.push_back( 0.270563 ); + sortev_vector_distances_template.push_back( 0.264009 ); + + + + size_t proj_no = p.number_of_vectorize_functions(); + std::vector< double > aa = p.vectorize(proj_no); + + for ( size_t i = 0 ; i != aa.size() ; ++i ) + { + BOOST_CHECK( almost_equal( sortev_vector_distances_template[i] , aa[i] ) ); + } +} + + + + +BOOST_AUTO_TEST_CASE(check_projections_to_R) +{ + Vector_distances_in_diagram< Euclidean_distance > p( "data/file_with_diagram" , 100 ); + std::vector< double > proj; + proj.push_back( 0 ); + proj.push_back( 0.6099679993 ); + proj.push_back( 1.176284775 ); + proj.push_back( 1.715142954 ); + proj.push_back( 2.25006986 ); + proj.push_back( 2.765810506 ); + proj.push_back( 3.273638431 ); + proj.push_back( 3.774549309 ); + proj.push_back( 4.271535042 ); + proj.push_back( 4.766840875 ); + proj.push_back( 5.206786149 ); + proj.push_back( 5.63088295 ); + proj.push_back( 6.04477433 ); + proj.push_back( 6.45866571 ); + proj.push_back( 6.87255709 ); + proj.push_back( 7.285177939 ); + proj.push_back( 7.695791381 ); + proj.push_back( 8.103643945 ); + proj.push_back( 8.511496508 ); + proj.push_back( 8.913802775 ); + proj.push_back( 9.315740229 ); + proj.push_back( 9.693344927 ); + proj.push_back( 10.0572035 ); + proj.push_back( 10.41496899 ); + proj.push_back( 10.77273448 ); + proj.push_back( 11.13049996 ); + proj.push_back( 11.48826545 ); + proj.push_back( 11.84603094 ); + proj.push_back( 12.19943233 ); + proj.push_back( 12.5474364 ); + proj.push_back( 12.89256042 ); + proj.push_back( 13.23768444 ); + proj.push_back( 13.58280846 ); + proj.push_back( 13.92793248 ); + proj.push_back( 14.2730565 ); + proj.push_back( 14.61818051 ); + proj.push_back( 14.96330453 ); + proj.push_back( 15.30842855 ); + proj.push_back( 15.65355257 ); + proj.push_back( 15.99867659 ); + proj.push_back( 16.34380061 ); + proj.push_back( 16.68892462 ); + proj.push_back( 17.03404864 ); + proj.push_back( 17.37917266 ); + proj.push_back( 17.7238622 ); + proj.push_back( 18.06332781 ); + proj.push_back( 18.40267754 ); + proj.push_back( 18.73101759 ); + proj.push_back( 19.05829313 ); + proj.push_back( 19.3769189 ); + proj.push_back( 19.69500045 ); + proj.push_back( 20.0010306 ); + proj.push_back( 20.30628026 ); + proj.push_back( 20.60358868 ); + proj.push_back( 20.89992192 ); + proj.push_back( 21.19625516 ); + proj.push_back( 21.4925884 ); + proj.push_back( 21.78892164 ); + proj.push_back( 22.08229394 ); + proj.push_back( 22.37495987 ); + proj.push_back( 22.66762581 ); + proj.push_back( 22.96029174 ); + proj.push_back( 23.25295768 ); + proj.push_back( 23.54562361 ); + proj.push_back( 23.83828955 ); + proj.push_back( 24.13095549 ); + proj.push_back( 24.42362142 ); + proj.push_back( 24.71628736 ); + proj.push_back( 25.00895329 ); + proj.push_back( 25.30161923 ); + proj.push_back( 25.59428516 ); + proj.push_back( 25.8869511 ); + proj.push_back( 26.17961703 ); + proj.push_back( 26.47228297 ); + proj.push_back( 26.76257262 ); + proj.push_back( 27.05279049 ); + proj.push_back( 27.34257265 ); + proj.push_back( 27.63070097 ); + proj.push_back( 27.91711687 ); + proj.push_back( 28.20308566 ); + proj.push_back( 28.48513176 ); + proj.push_back( 28.76667161 ); + proj.push_back( 29.04775635 ); + proj.push_back( 29.32798359 ); + proj.push_back( 29.60725702 ); + proj.push_back( 29.88619335 ); + proj.push_back( 30.16489915 ); + proj.push_back( 30.44340655 ); + proj.push_back( 30.72150329 ); + proj.push_back( 30.99779604 ); + proj.push_back( 31.27408878 ); + proj.push_back( 31.55038153 ); + proj.push_back( 31.82667427 ); + proj.push_back( 32.10296702 ); + proj.push_back( 32.37925976 ); + proj.push_back( 32.6555525 ); + proj.push_back( 32.93184525 ); + proj.push_back( 33.20813799 ); + proj.push_back( 33.48430662 ); + proj.push_back( 33.7548692 ); + + for ( size_t proj_no = 0 ; proj_no != p.number_of_projections_to_R() ; ++proj_no ) + { + //cout << std::setprecision(10) << p.project_to_R(proj_no) << endl; + BOOST_CHECK( almost_equal( p.project_to_R(proj_no) , proj[proj_no] ) ); + } +} + + + + + +BOOST_AUTO_TEST_CASE(check_distance_computations) +{ + Vector_distances_in_diagram< Euclidean_distance > p( "data/file_with_diagram" , 100 ); + Vector_distances_in_diagram< Euclidean_distance > p_prime( "data/file_with_diagram" , 10 ); + std::vector< std::pair > intervals(10); + intervals[0] = std::pair( 1,2 ); + intervals[1] = std::pair( 3,4 ); + intervals[2] = std::pair( 5,6 ); + intervals[3] = std::pair( 7,8 ); + intervals[4] = std::pair( 9,10 ); + intervals[5] = std::pair( 11,12 ); + intervals[6] = std::pair( 13,14 ); + intervals[7] = std::pair( 15,16 ); + intervals[8] = std::pair( 17,18 ); + intervals[9] = std::pair( 19,20 ); + Vector_distances_in_diagram< Euclidean_distance > p_bis( intervals , 10 ); + //cerr << "p_prime.distance( (Abs_Topological_data_with_distances*)(&p_bis) , 1 ) : " << p_prime.distance( (Abs_Topological_data_with_distances*)(&p_bis) , 1 ) << endl; + BOOST_CHECK( almost_equal ( p_prime.distance( p_bis , 1 ) , 1.86428 ) ); +} + +BOOST_AUTO_TEST_CASE(check_default_parameters_of_distances ) +{ + std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); + Vector_distances_in_diagram< Euclidean_distance > p( diag , 100 ); + + std::vector< std::pair< double , double > > diag1 = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram_1" ); + Vector_distances_in_diagram< Euclidean_distance > q( diag1 , 100 ); + + double dist_numeric_limit_max = p.distance( q,std::numeric_limits::max() ); + double dist_infinity = p.distance( q,std::numeric_limits::infinity() ); + + BOOST_CHECK( dist_numeric_limit_max == dist_infinity ); +} + + + +BOOST_AUTO_TEST_CASE(check_compute_average) +{ + Vector_distances_in_diagram< Euclidean_distance > p( "data/file_with_diagram" , 100 ); + //compute average + std::vector< std::pair > i1(3); + i1[0] = std::pair( 1,2 ); + i1[1] = std::pair( 3,8 ); + i1[2] = std::pair( 1,6 ); + + std::vector< std::pair > i2(3); + i2[0] = std::pair( 2,9 ); + i2[1] = std::pair( 2,15); + i2[2] = std::pair( 6,17 ); + + Vector_distances_in_diagram< Euclidean_distance > A( i1 , -1 ); + Vector_distances_in_diagram< Euclidean_distance > B( i1 , -1 ); + + Vector_distances_in_diagram< Euclidean_distance > average; + average.compute_average( {&A,&B} ); + + Vector_distances_in_diagram< Euclidean_distance > template_average; + template_average.load_from_file( "data/average_of_persistence_vectors" ); + + BOOST_CHECK( template_average == average ); + +} + + + +BOOST_AUTO_TEST_CASE(check_arythmetic_operations) +{ + std::vector< std::pair > i1(3); + i1[0] = std::pair( 1,2 ); + i1[1] = std::pair( 3,8 ); + i1[2] = std::pair( 1,6 ); + + std::vector< std::pair > i2(3); + i2[0] = std::pair( 2,9 ); + i2[1] = std::pair( 2,15); + i2[2] = std::pair( 6,17 ); + + Vector_distances_in_diagram< Euclidean_distance > A( i1 , -1 ); + Vector_distances_in_diagram< Euclidean_distance > B( i1 , -1 ); + + Vector_distances_in_diagram< Euclidean_distance > sum = A+B; + Vector_distances_in_diagram< Euclidean_distance > difference = A-B; + + BOOST_CHECK( almost_equal( sum.vector_in_position(0) , 7.07107) ); + BOOST_CHECK( almost_equal( sum.vector_in_position(1) , 7.07107) ); + BOOST_CHECK( almost_equal( sum.vector_in_position(2) , 5.65685) ); + BOOST_CHECK( almost_equal( sum.vector_in_position(3) , 1.41421) ); + BOOST_CHECK( almost_equal( sum.vector_in_position(4) , 1.41421) ); + BOOST_CHECK( almost_equal( sum.vector_in_position(5) , 1.41421) ); + + BOOST_CHECK( almost_equal( difference.vector_in_position(0) , 0) ); + BOOST_CHECK( almost_equal( difference.vector_in_position(1) , 0) ); + BOOST_CHECK( almost_equal( difference.vector_in_position(2) , 0) ); + BOOST_CHECK( almost_equal( difference.vector_in_position(3) , 0) ); + BOOST_CHECK( almost_equal( difference.vector_in_position(4) , 0) ); + BOOST_CHECK( almost_equal( difference.vector_in_position(5) , 0) ); + + Vector_distances_in_diagram< Euclidean_distance > prod = 2.*A; + BOOST_CHECK( almost_equal( prod.vector_in_position(0) , 7.07107) ); + BOOST_CHECK( almost_equal( prod.vector_in_position(1) , 7.07107) ); + BOOST_CHECK( almost_equal( prod.vector_in_position(2) , 5.65685) ); + BOOST_CHECK( almost_equal( prod.vector_in_position(3) , 1.41421) ); + BOOST_CHECK( almost_equal( prod.vector_in_position(4) , 1.41421) ); + BOOST_CHECK( almost_equal( prod.vector_in_position(5) , 1.41421) ); + + Vector_distances_in_diagram< Euclidean_distance > prod1 = A*2; + BOOST_CHECK( almost_equal( prod1.vector_in_position(0) , 7.07107) ); + BOOST_CHECK( almost_equal( prod1.vector_in_position(1) , 7.07107) ); + BOOST_CHECK( almost_equal( prod1.vector_in_position(2) , 5.65685) ); + BOOST_CHECK( almost_equal( prod1.vector_in_position(3) , 1.41421) ); + BOOST_CHECK( almost_equal( prod1.vector_in_position(4) , 1.41421) ); + BOOST_CHECK( almost_equal( prod1.vector_in_position(5) , 1.41421) ); + +} -- cgit v1.2.3