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CMAKE_INSTALL_PREFIX "${CMAKE_INSTALL_PREFIX}") + +# Set the install configuration name. +IF(NOT DEFINED CMAKE_INSTALL_CONFIG_NAME) + IF(BUILD_TYPE) + STRING(REGEX REPLACE "^[^A-Za-z0-9_]+" "" + CMAKE_INSTALL_CONFIG_NAME "${BUILD_TYPE}") + ELSE(BUILD_TYPE) + SET(CMAKE_INSTALL_CONFIG_NAME "Release") + ENDIF(BUILD_TYPE) + MESSAGE(STATUS "Install configuration: \"${CMAKE_INSTALL_CONFIG_NAME}\"") +ENDIF(NOT DEFINED CMAKE_INSTALL_CONFIG_NAME) + +# Set the component getting installed. +IF(NOT CMAKE_INSTALL_COMPONENT) + IF(COMPONENT) + MESSAGE(STATUS "Install component: \"${COMPONENT}\"") + SET(CMAKE_INSTALL_COMPONENT "${COMPONENT}") + ELSE(COMPONENT) + SET(CMAKE_INSTALL_COMPONENT) + ENDIF(COMPONENT) +ENDIF(NOT CMAKE_INSTALL_COMPONENT) + +# Install shared libraries without execute permission? +IF(NOT DEFINED CMAKE_INSTALL_SO_NO_EXE) + SET(CMAKE_INSTALL_SO_NO_EXE "1") +ENDIF(NOT DEFINED CMAKE_INSTALL_SO_NO_EXE) + diff --git a/src/Gudhi_stat/example/difference 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100755 index 00000000..d6b69822 Binary files /dev/null and b/src/Gudhi_stat/example/persistence_landscape differ diff --git a/src/Gudhi_stat/example/persistence_landscape.cpp b/src/Gudhi_stat/example/persistence_landscape.cpp new file mode 100644 index 00000000..d080cd09 --- /dev/null +++ b/src/Gudhi_stat/example/persistence_landscape.cpp @@ -0,0 +1,169 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include + + +int main( int argc , char** argv ) +{ + + if ( argc != 2 ) + { + std::cerr << "To run this program, please provide a name of a file with persistence landscape \n"; + //return 1; + } + //char* filename = argv[1]; + char* filename = (char*)"../test/data/file_with_diagram"; + Persistence_landscape p(filename); + + 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 < to_average; + to_average.push_back( &p ); + to_average.push_back( &q ); + Persistence_landscape av; + av.compute_average( to_average ); + + 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 , -1 ) << 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; + + } + + return 0; +} diff --git a/src/Gudhi_stat/example/sum b/src/Gudhi_stat/example/sum new file mode 100644 index 00000000..79480306 --- /dev/null +++ b/src/Gudhi_stat/example/sum @@ -0,0 +1,148611 @@ +#lambda_0 +0.00115996 0 +0.0290362 0.0278763 +0.0705916 0.110987 +0.0707351 0.110987 +0.273076 0.515668 +0.276873 0.515668 +0.297446 0.556814 +0.299309 0.556815 +0.329297 0.61679 +0.36328 0.61679 +0.443232 0.776693 +0.462177 0.776692 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persistence_intervals.s + +# target to generate assembly for a file +persistence_intervals.cpp.s: + cd /home/pawel/Dropbox/gudhi/gudhi_stat && $(MAKE) -f src/Gudhi_stat/example/CMakeFiles/persistence_intervals.dir/build.make src/Gudhi_stat/example/CMakeFiles/persistence_intervals.dir/persistence_intervals.cpp.s +.PHONY : persistence_intervals.cpp.s + persistence_landscape.o: persistence_landscape.cpp.o .PHONY : persistence_landscape.o @@ -146,6 +198,30 @@ persistence_landscape.cpp.s: cd /home/pawel/Dropbox/gudhi/gudhi_stat && $(MAKE) -f src/Gudhi_stat/example/CMakeFiles/persistence_landscape.dir/build.make src/Gudhi_stat/example/CMakeFiles/persistence_landscape.dir/persistence_landscape.cpp.s .PHONY : persistence_landscape.cpp.s +vector_representation.o: vector_representation.cpp.o +.PHONY : vector_representation.o + +# target to build an object file +vector_representation.cpp.o: + cd /home/pawel/Dropbox/gudhi/gudhi_stat && $(MAKE) -f src/Gudhi_stat/example/CMakeFiles/vector_representation.dir/build.make src/Gudhi_stat/example/CMakeFiles/vector_representation.dir/vector_representation.cpp.o +.PHONY : vector_representation.cpp.o + +vector_representation.i: vector_representation.cpp.i +.PHONY : vector_representation.i + +# target to preprocess a source file +vector_representation.cpp.i: + cd /home/pawel/Dropbox/gudhi/gudhi_stat && $(MAKE) -f src/Gudhi_stat/example/CMakeFiles/vector_representation.dir/build.make src/Gudhi_stat/example/CMakeFiles/vector_representation.dir/vector_representation.cpp.i +.PHONY : vector_representation.cpp.i + +vector_representation.s: vector_representation.cpp.s +.PHONY : vector_representation.s + +# target to generate assembly for a file +vector_representation.cpp.s: + cd /home/pawel/Dropbox/gudhi/gudhi_stat && $(MAKE) -f src/Gudhi_stat/example/CMakeFiles/vector_representation.dir/build.make src/Gudhi_stat/example/CMakeFiles/vector_representation.dir/vector_representation.cpp.s +.PHONY : vector_representation.cpp.s + # Help Target help: @echo "The following are some of the valid targets for this Makefile:" @@ -153,12 +229,20 @@ help: @echo "... clean" @echo "... depend" @echo "... edit_cache" + @echo "... persistence_intervals" @echo "... persistence_landscape" @echo "... rebuild_cache" @echo "... test" + @echo "... vector_representation" + @echo "... persistence_intervals.o" + @echo "... persistence_intervals.i" + @echo "... persistence_intervals.s" @echo "... persistence_landscape.o" @echo "... persistence_landscape.i" @echo "... persistence_landscape.s" + @echo "... vector_representation.o" + @echo "... vector_representation.i" + @echo "... vector_representation.s" .PHONY : help diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h index 626c962b..bcabadac 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h @@ -375,17 +375,19 @@ void Vector_distances_in_diagram::compute_average( std::vector< Abs_Topologic return; } - Vector_distances_in_diagram* base = (Vector_distances_in_diagram*)to_average[0]; - for ( size_t i = 1 ; i != to_average.size() ; ++i ) + size_t maximal_length_of_vector = 0; + for ( size_t i = 0 ; i != to_average.size() ; ++i ) { Vector_distances_in_diagram* current = (Vector_distances_in_diagram*)to_average[i]; - if ( current->sorted_vector_of_distnaces.size() != base->sorted_vector_of_distnaces.size() ) + if ( current->sorted_vector_of_distnaces.size() > maximal_length_of_vector ) { - throw "Not compatible sizes of Vector_distances_in_diagram in the method Vector_distances_in_diagram::compute_average"; + maximal_length_of_vector = current->sorted_vector_of_distnaces.size(); } } - std::vector< double > av( base->sorted_vector_of_distnaces.size() , 0 ); + //cerr << "maximal_length_of_vector : " << maximal_length_of_vector << endl; + + std::vector< double > av( maximal_length_of_vector , 0 ); for ( size_t i = 0 ; i != to_average.size() ; ++i ) { Vector_distances_in_diagram* current = (Vector_distances_in_diagram*)to_average[i]; @@ -395,12 +397,12 @@ void Vector_distances_in_diagram::compute_average( std::vector< Abs_Topologic } } - for ( size_t i = 0 ; i != to_average.size() ; ++i ) + for ( size_t i = 0 ; i != maximal_length_of_vector ; ++i ) { av[i] /= (double)to_average.size(); } - - (*this) = Vector_distances_in_diagram( av ); + this->sorted_vector_of_distnaces = av; + this->where_to_cut = av.size(); } template diff --git a/src/Gudhi_stat/test/CMakeFiles/persistence_intervals_test.dir/progress.make b/src/Gudhi_stat/test/CMakeFiles/persistence_intervals_test.dir/progress.make index a3100dd4..044b5ab3 100644 --- a/src/Gudhi_stat/test/CMakeFiles/persistence_intervals_test.dir/progress.make +++ b/src/Gudhi_stat/test/CMakeFiles/persistence_intervals_test.dir/progress.make @@ -1,2 +1,2 @@ -CMAKE_PROGRESS_1 = 31 +CMAKE_PROGRESS_1 = 32 diff --git a/src/Gudhi_stat/test/CMakeFiles/persistence_lanscapes_test.dir/progress.make b/src/Gudhi_stat/test/CMakeFiles/persistence_lanscapes_test.dir/progress.make index 51133726..49a8b316 100644 --- a/src/Gudhi_stat/test/CMakeFiles/persistence_lanscapes_test.dir/progress.make +++ b/src/Gudhi_stat/test/CMakeFiles/persistence_lanscapes_test.dir/progress.make @@ -1,2 +1,2 @@ -CMAKE_PROGRESS_1 = 33 +CMAKE_PROGRESS_1 = 34 diff --git a/src/Gudhi_stat/test/CMakeFiles/vector_representation_test.dir/progress.make b/src/Gudhi_stat/test/CMakeFiles/vector_representation_test.dir/progress.make index 109d64a8..049132e5 100644 --- a/src/Gudhi_stat/test/CMakeFiles/vector_representation_test.dir/progress.make +++ b/src/Gudhi_stat/test/CMakeFiles/vector_representation_test.dir/progress.make @@ -1,2 +1,2 @@ -CMAKE_PROGRESS_1 = 43 +CMAKE_PROGRESS_1 = 45 -- cgit v1.2.3 From 84b00d7416872cbec6317f6b3ed00ea0245aae10 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Thu, 30 Jun 2016 06:45:30 +0000 Subject: trying to delete some files... git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1357 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 28be974caa5e625b5f8a5a909bfd951891307093 --- .../file_with_landscape_from_file_with_diagram | 817 - .../file_with_landscape_from_file_with_diagram_1 | 147820 ----------------- src/Gudhi_stat/example/multiply_by_scalar | 817 - src/Gudhi_stat/example/persistence_landscape | Bin 116237 -> 0 bytes src/Gudhi_stat/example/sum | 148611 ------------------ 5 files changed, 298065 deletions(-) delete mode 100644 src/Gudhi_stat/example/file_with_landscape_from_file_with_diagram delete mode 100644 src/Gudhi_stat/example/file_with_landscape_from_file_with_diagram_1 delete mode 100644 src/Gudhi_stat/example/multiply_by_scalar delete mode 100755 src/Gudhi_stat/example/persistence_landscape delete mode 100644 src/Gudhi_stat/example/sum (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/file_with_landscape_from_file_with_diagram b/src/Gudhi_stat/example/file_with_landscape_from_file_with_diagram deleted file mode 100644 index c5c492c9..00000000 --- a/src/Gudhi_stat/example/file_with_landscape_from_file_with_diagram +++ /dev/null @@ -1,817 +0,0 @@ -#lambda_0 -0.0290362 0 -0.273076 0.24404 -0.276873 0.240242 -0.329297 0.292665 -0.36328 0.258682 -0.485629 0.38103 -0.490689 0.375971 -0.54603 0.431313 -0.631171 0.346172 -0.63642 0.351422 -0.640956 0.346887 -0.644303 0.350234 -0.994537 0 -#lambda_1 -0.0307676 0 -0.133967 0.103199 -0.136898 0.100267 -0.276873 0.240242 -0.310857 0.206258 -0.36328 0.258682 -0.36834 0.253622 -0.490689 0.375971 -0.500148 0.366511 -0.534084 0.400446 -0.590941 0.343589 -0.612036 0.364684 -0.630859 0.345861 -0.631171 0.346172 -0.635706 0.341637 -0.640956 0.346887 -0.879378 0.108465 -0.88052 0.109607 -0.990127 0 -#lambda_2 -0.0366312 0 -0.136898 0.100267 -0.145814 0.0913521 -0.188411 0.13395 -0.21348 0.108881 -0.310857 0.206258 -0.315917 0.201199 -0.36834 0.253622 -0.372727 0.249235 -0.376471 0.252978 -0.381543 0.247906 -0.500148 0.366511 -0.508229 0.358431 -0.528049 0.37825 -0.549487 0.356812 -0.551764 0.359089 -0.579102 0.33175 -0.590941 0.343589 -0.609764 0.324766 -0.630859 0.345861 -0.635394 0.341325 -0.635706 0.341637 -0.816147 0.161196 -0.81754 0.162589 -0.875521 0.104608 -0.879378 0.108465 -0.987842 0 -#lambda_3 -0.0544614 0 -0.145814 0.0913521 -0.170882 0.0662834 -0.21348 0.108881 -0.21854 0.103822 -0.315917 0.201199 -0.320304 0.196811 -0.372727 0.249235 -0.3778 0.244162 -0.381543 0.247906 -0.389624 0.239826 -0.508229 0.358431 -0.529248 0.337412 -0.546034 0.354197 -0.546453 0.353778 -0.549487 0.356812 -0.576826 0.329474 -0.579102 0.33175 -0.597925 0.312927 -0.609764 0.324766 -0.6143 0.320231 -0.635394 0.341325 -0.815835 0.160884 -0.816147 0.161196 -0.874128 0.103215 -0.875521 0.104608 -0.980129 0 -#lambda_4 -0.0920033 0 -0.162167 0.0701632 -0.168464 0.0638655 -0.170882 0.0662834 -0.175942 0.061224 -0.21854 0.103822 -0.222927 0.0994343 -0.320304 0.196811 -0.325376 0.191739 -0.3778 0.244162 -0.38588 0.236082 -0.389624 0.239826 -0.410259 0.21919 -0.490951 0.299882 -0.491334 0.299498 -0.529248 0.337412 -0.529667 0.336992 -0.546453 0.353778 -0.573792 0.32644 -0.576826 0.329474 -0.595649 0.31065 -0.597925 0.312927 -0.60246 0.308392 -0.6143 0.320231 -0.652776 0.281755 -0.659416 0.288395 -0.746537 0.201275 -0.752208 0.206946 -0.807053 0.152102 -0.815835 0.160884 -0.873816 0.102903 -0.874128 0.103215 -0.977343 0 -#lambda_5 -0.104599 0 -0.168464 0.0638655 -0.173524 0.058806 -0.175942 0.061224 -0.180329 0.0568366 -0.222927 0.0994343 -0.227999 0.0943619 -0.325376 0.191739 -0.333457 0.183659 -0.38588 0.236082 -0.406516 0.215446 -0.410259 0.21919 -0.410391 0.219058 -0.45834 0.267007 -0.458592 0.266755 -0.491334 0.299498 -0.491754 0.299079 -0.529667 0.336992 -0.557006 0.309654 -0.573792 0.32644 -0.592615 0.307616 -0.595649 0.31065 -0.600184 0.306115 -0.60246 0.308392 -0.640936 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0.127326 -0.375837 0.141279 -0.382234 0.134882 -0.417289 0.169937 -0.427324 0.159903 -0.444691 0.177271 -0.445028 0.176934 -0.448771 0.180678 -0.457086 0.172364 -0.485947 0.201225 -0.486085 0.201087 -0.503511 0.218512 -0.508046 0.213977 -0.509708 0.215639 -0.52425 0.201097 -0.556992 0.23384 -0.580927 0.209906 -0.612345 0.241324 -0.699465 0.154203 -0.705961 0.160699 -0.760805 0.105854 -0.772274 0.117323 -0.830255 0.0593421 -0.835572 0.064659 -0.874768 0.0254633 -0.876576 0.0272714 -0.888372 0.0154756 -0.889598 0.0167015 -0.906299 0 -#lambda_13 -0.191333 0 -0.205618 0.0142844 -0.205869 0.0140328 -0.212083 0.0202468 -0.212502 0.0198274 -0.21492 0.0222454 -0.222865 0.0143007 -0.243649 0.0350847 -0.24858 0.0301542 -0.270393 0.0519679 -0.27846 0.0439015 -0.361884 0.127326 -0.368281 0.120929 -0.382234 0.134882 -0.392268 0.124847 -0.427324 0.159903 -0.42766 0.159567 -0.445028 0.176934 -0.453342 0.16862 -0.457086 0.172364 -0.457224 0.172226 -0.486085 0.201087 -0.49062 0.196551 -0.508046 0.213977 -0.522588 0.199435 -0.52425 0.201097 -0.548184 0.177163 -0.580927 0.209906 -0.668047 0.122785 -0.699465 0.154203 -0.75431 0.0993589 -0.760805 0.105854 -0.818786 0.0478731 -0.830255 0.0593421 -0.869451 0.0201464 -0.874768 0.0254633 -0.886564 0.0136675 -0.888372 0.0154756 -0.903847 0 -#lambda_14 -0.191836 0 -0.205869 0.0140328 -0.206288 0.0136135 -0.212502 0.0198274 -0.220447 0.0118827 -0.222865 0.0143007 -0.227796 0.00937014 -0.24858 0.0301542 -0.256646 0.0220878 -0.27846 0.0439015 -0.284857 0.0375047 -0.368281 0.120929 -0.378315 0.110894 -0.392268 0.124847 -0.392604 0.124511 -0.42766 0.159567 -0.435974 0.151253 -0.453342 0.16862 -0.45348 0.168482 -0.457224 0.172226 -0.461759 0.16769 -0.49062 0.196551 -0.496732 0.190439 -0.501661 0.195368 -0.510091 0.186939 -0.522588 0.199435 -0.546522 0.175501 -0.548184 0.177163 -0.635305 0.0900423 -0.668047 0.122785 -0.69674 0.0940929 -0.711929 0.109282 -0.738081 0.0831299 -0.75431 0.0993589 -0.812291 0.0413778 -0.818786 0.0478731 -0.857982 0.00867738 -0.869451 0.0201464 -0.881247 0.00835057 -0.886564 0.0136675 -0.900231 0 -#lambda_15 -0.192675 0 -0.206288 0.0136135 -0.214233 0.00566879 -0.220447 0.0118827 -0.225378 0.00695217 -0.227796 0.00937014 -0.235862 0.00130373 -0.256646 0.0220878 -0.263043 0.015691 -0.284857 0.0375047 -0.294891 0.0274702 -0.378315 0.110894 -0.378651 0.110558 -0.392604 0.124511 -0.400919 0.116197 -0.435974 0.151253 -0.436113 0.151114 -0.45348 0.168482 -0.458015 0.163947 -0.461759 0.16769 -0.467871 0.161578 -0.496732 0.190439 -0.505162 0.18201 -0.510091 0.186939 -0.534025 0.163005 -0.546522 0.175501 -0.633643 0.0883803 -0.635305 0.0900423 -0.663997 0.0613501 -0.69674 0.0940929 -0.722892 0.0679409 -0.738081 0.0831299 -0.796062 0.0251487 -0.812291 0.0413778 -0.851487 0.00218203 -0.857982 0.00867738 -0.866659 0 -0.872896 0 -0.881247 0.00835057 -0.889597 0 -#lambda_16 -0.208564 0 -0.214233 0.00566879 -0.219164 0.000738249 -0.225378 0.00695217 -0.23233 0 -0.234558 0 -0.235862 0.00130373 -0.237166 0 -0.247352 0 -0.263043 0.015691 -0.273077 0.00565653 -0.294891 0.0274702 -0.295227 0.0271341 -0.378651 0.110558 -0.386966 0.102244 -0.400919 0.116197 -0.401057 0.116059 -0.436113 0.151114 -0.440648 0.146579 -0.458015 0.163947 -0.464127 0.157834 -0.467871 0.161578 -0.476301 0.153149 -0.505162 0.18201 -0.529096 0.158075 -0.534025 0.163005 -0.621146 0.0758838 -0.633643 0.0883803 -0.662335 0.0596881 -0.663997 0.0613501 -0.690149 0.035198 -0.722892 0.0679409 -0.780873 0.00995978 -0.796062 0.0251487 -0.821211 0 -0.849305 0 -0.851487 0.00218203 -0.853669 0 -#lambda_17 -0.218425 0 -0.219164 0.000738249 -0.219902 0 -0.267421 0 -0.273077 0.00565653 -0.273413 0.00532039 -0.295227 0.0271341 -0.303541 0.0188198 -0.386966 0.102244 -0.387104 0.102106 -0.401057 0.116059 -0.405592 0.111523 -0.440648 0.146579 -0.44676 0.140467 -0.464127 0.157834 -0.472557 0.149405 -0.476301 0.153149 -0.500235 0.129214 -0.529096 0.158075 -0.616217 0.0709547 -0.621146 0.0758838 -0.645033 0.0519969 -0.647105 0.0540688 -0.65191 0.0492634 -0.662335 0.0596881 -0.686402 0.035621 -0.686539 0.0357586 -0.688624 0.0336736 -0.690149 0.035198 -0.704418 0.0209288 -0.720922 0.0374331 -0.758355 0 -0.770913 0 -0.780873 0.00995978 -0.790833 0 -#lambda_18 -0.268093 0 -0.273413 0.00532039 -0.278734 0 -0.284722 0 -0.303541 0.0188198 -0.30368 0.0186815 -0.387104 0.102106 -0.391639 0.0975703 -0.405592 0.111523 -0.411704 0.105411 -0.44676 0.140467 -0.45519 0.132037 -0.472557 0.149405 -0.496491 0.125471 -0.500235 0.129214 -0.500922 0.128527 -0.510982 0.138587 -0.597416 0.0521537 -0.616217 0.0709547 -0.640104 0.0470677 -0.645033 0.0519969 -0.649838 0.0471916 -0.65191 0.0492634 -0.675977 0.0251964 -0.686402 0.035621 -0.688487 0.033536 -0.688624 0.0336736 -0.702894 0.0194043 -0.704418 0.0209288 -0.721485 0.00386195 -0.724166 0.00654325 -0.73071 0 -#lambda_19 -0.284998 0 -0.30368 0.0186815 -0.308215 0.0141462 -0.391639 0.0975703 -0.397751 0.0914582 -0.411704 0.105411 -0.420134 0.0969815 -0.45519 0.132037 -0.479124 0.108103 -0.496491 0.125471 -0.497179 0.124783 -0.500922 0.128527 -0.587356 0.0420936 -0.597416 0.0521537 -0.621303 0.0282668 -0.640104 0.0470677 -0.644909 0.0422624 -0.649838 0.0471916 -0.673905 0.0231246 -0.675977 0.0251964 -0.678062 0.0231114 -0.688487 0.033536 -0.702756 0.0192668 -0.702894 0.0194043 -0.71996 0.00233748 -0.721485 0.00386195 -0.725347 0 -#lambda_20 -0.294069 0 -0.308215 0.0141462 -0.314327 0.00803414 -0.397751 0.0914582 -0.406181 0.0830285 -0.420134 0.0969815 -0.444068 0.0730472 -0.479124 0.108103 -0.479811 0.107416 -0.497179 0.124783 -0.583612 0.0383499 -0.587356 0.0420936 -0.611243 0.0182066 -0.621303 0.0282668 -0.626108 0.0234615 -0.644909 0.0422624 -0.668976 0.0181954 -0.673905 0.0231246 -0.67599 0.0210396 -0.678062 0.0231114 -0.692331 0.00884218 -0.702756 0.0192668 -0.719823 0.00219994 -0.71996 0.00233748 -0.722298 0 -#lambda_21 -0.306293 0 -0.314327 0.00803414 -0.322361 0 -0.323152 0 -0.406181 0.0830285 -0.430115 0.0590942 -0.444068 0.0730472 -0.444755 0.07236 -0.479811 0.107416 -0.566245 0.0209823 -0.583612 0.0383499 -0.607499 0.0144629 -0.611243 0.0182066 -0.616048 0.0134013 -0.626108 0.0234615 -0.64957 0 -0.650781 0 -0.668976 0.0181954 -0.671061 0.0161104 -0.67599 0.0210396 -0.69026 0.00677034 -0.692331 0.00884218 -0.701174 0 -0.717623 0 -0.719823 0.00219994 -0.722023 0 -#lambda_22 -0.371021 0 -0.430115 0.0590942 -0.430802 0.0584071 -0.444755 0.07236 -0.476326 0.0407894 -0.484101 0.0485642 -0.532665 0 -0.545262 0 -0.566245 0.0209823 -0.587227 0 -0.593036 0 -0.607499 0.0144629 -0.612304 0.0096576 -0.616048 0.0134013 -0.617247 0.0122027 -0.620882 0.0158375 -0.636719 0 -0.654951 0 -0.671061 0.0161104 -0.68533 0.00184115 -0.69026 0.00677034 -0.69703 0 -#lambda_23 -0.372395 0 -0.430802 0.0584071 -0.462373 0.0268364 -0.476326 0.0407894 -0.500342 0.0167732 -0.502883 0.0193141 -0.522197 0 -0.602647 0 -0.612304 0.0096576 -0.613503 0.00845896 -0.617247 0.0122027 -0.629449 0 -0.683489 0 -0.68533 0.00184115 -0.687172 0 -#lambda_24 -0.387744 0 -0.425327 0.0375838 -0.449224 0.0136873 -0.462373 0.0268364 -0.486389 0.00282021 -0.500342 0.0167732 -0.517115 0 -0.605044 0 -0.613503 0.00845896 -0.621962 0 -#lambda_25 -0.435537 0 -0.449224 0.0136873 -0.462911 0 -0.483569 0 -0.486389 0.00282021 -0.489209 0 diff --git a/src/Gudhi_stat/example/file_with_landscape_from_file_with_diagram_1 b/src/Gudhi_stat/example/file_with_landscape_from_file_with_diagram_1 deleted file mode 100644 index 075dbd8a..00000000 --- a/src/Gudhi_stat/example/file_with_landscape_from_file_with_diagram_1 +++ /dev/null @@ -1,147820 +0,0 @@ -#lambda_0 -0.00115996 0 -0.0705916 0.0694316 -0.0707351 0.0692881 -0.297446 0.295999 -0.299309 0.294137 -0.443232 0.43806 -0.462177 0.419114 -0.507542 0.464478 -0.536031 0.435989 -0.547048 0.447006 -0.571679 0.422374 -0.573069 0.423764 -0.636462 0.360371 -0.637257 0.361165 -0.967347 0.0310745 -0.96765 0.031377 -0.999027 0 -#lambda_1 -0.00144702 0 -0.0707351 0.0692881 -0.0725442 0.067479 -0.292533 0.287468 -0.292586 0.287414 -0.299309 0.294137 -0.30002 0.293425 -0.399923 0.393327 -0.399925 0.393325 -0.429631 0.423031 -0.43268 0.419982 -0.444423 0.431725 -0.445313 0.430835 -0.447291 0.432814 -0.461584 0.418521 -0.462177 0.419114 -0.466162 0.415129 -0.469657 0.418624 -0.476828 0.411452 -0.515923 0.450547 -0.533256 0.433214 -0.536031 0.435989 -0.544472 0.427548 -0.552128 0.435203 -0.562598 0.424733 -0.56277 0.424905 -0.56849 0.419185 -0.571679 0.422374 -0.635073 0.358981 -0.636462 0.360371 -0.758486 0.238348 -0.758779 0.238642 -0.966847 0.030574 -0.967347 0.0310745 -0.998422 0 -#lambda_2 -0.00267455 0 -0.00722998 0.00455543 -0.00737515 0.00441026 -0.0201887 0.0172238 -0.0212389 0.0161737 -0.0725442 0.067479 -0.0725976 0.0674256 -0.292586 0.287414 -0.293298 0.286702 -0.30002 0.293425 -0.300023 0.293422 -0.399925 0.393325 -0.402974 0.390276 -0.43268 0.419982 -0.43357 0.419092 -0.445313 0.430835 -0.459606 0.416542 -0.461584 0.418521 -0.465569 0.414536 -0.466162 0.415129 -0.473334 0.407958 -0.476828 0.411452 -0.479777 0.408504 -0.517273 0.446 -0.531657 0.431615 -0.533256 0.433214 -0.541697 0.424773 -0.544472 0.427548 -0.554943 0.417077 -0.562598 0.424733 -0.568318 0.419013 -0.56849 0.419185 -0.581603 0.406072 -0.583463 0.407932 -0.633743 0.357651 -0.635073 0.358981 -0.67059 0.323463 -0.671354 0.324227 -0.757859 0.237721 -0.758486 0.238348 -0.966553 0.0302801 -0.966847 0.030574 -0.997421 0 -#lambda_3 -0.00296489 0 -0.00737515 0.00441026 -0.00842527 0.00336013 -0.0212389 0.0161737 -0.0212923 0.0161203 -0.0725976 0.0674256 -0.0726998 0.0673234 -0.171718 0.166341 -0.172327 0.165732 -0.293298 0.286702 -0.2933 0.2867 -0.300023 0.293422 -0.303072 0.290373 -0.402974 0.390276 -0.403864 0.389386 -0.43357 0.419092 -0.447863 0.404799 -0.459606 0.416542 -0.463591 0.412557 -0.465569 0.414536 -0.472741 0.407365 -0.473334 0.407958 -0.476282 0.405009 -0.479777 0.408504 -0.488307 0.399973 -0.504029 0.415694 -0.509882 0.409841 -0.531657 0.431615 -0.540099 0.423174 -0.541697 0.424773 -0.552168 0.414302 -0.554943 0.417077 -0.560392 0.411628 -0.566359 0.417595 -0.566629 0.417324 -0.568318 0.419013 -0.581431 0.4059 -0.581603 0.406072 -0.631883 0.355792 -0.633743 0.357651 -0.669261 0.322134 -0.67059 0.323463 -0.757096 0.236958 -0.757859 0.237721 -0.965927 0.0296537 -0.966553 0.0302801 -0.996833 0 -#lambda_4 -0.00506514 0 -0.00842527 0.00336013 -0.0084787 0.0033067 -0.0212923 0.0161203 -0.0213945 0.0160181 -0.0726998 0.0673234 -0.0733093 0.0667139 -0.172327 0.165732 -0.17233 0.165729 -0.2933 0.2867 -0.296349 0.283651 -0.303072 0.290373 -0.303615 0.289831 -0.347829 0.334045 -0.348176 0.333698 -0.403864 0.389386 -0.418157 0.375093 -0.447863 0.404799 -0.451848 0.400814 -0.463591 0.412557 -0.470762 0.405386 -0.472741 0.407365 -0.475689 0.404416 -0.476282 0.405009 -0.480844 0.400447 -0.481994 0.401596 -0.485962 0.397628 -0.488307 0.399973 -0.489664 0.398616 -0.502837 0.411789 -0.507334 0.407292 -0.509882 0.409841 -0.517945 0.401778 -0.519617 0.40345 -0.519996 0.403071 -0.540099 0.423174 -0.550569 0.412704 -0.552168 0.414302 -0.557617 0.408853 -0.560392 0.411628 -0.560663 0.411357 -0.566629 0.417324 -0.579742 0.404211 -0.581431 0.4059 -0.631711 0.355619 -0.631883 0.355792 -0.651446 0.336228 -0.65299 0.337772 -0.668945 0.321818 -0.669261 0.322134 -0.730257 0.261137 -0.731195 0.262075 -0.756704 0.236566 -0.757096 0.236958 -0.939787 0.0542663 -0.940188 0.0546669 -0.965564 0.0292908 -0.965927 0.0296537 -0.99558 0 -#lambda_5 -0.005172 0 -0.0084787 0.0033067 -0.00858089 0.00320452 -0.0213945 0.0160181 -0.022004 0.0154086 -0.0733093 0.0667139 -0.0733119 0.0667113 -0.17233 0.165729 -0.172611 0.165448 -0.218037 0.210874 -0.220805 0.208106 -0.296349 0.283651 -0.296892 0.283108 -0.303615 0.289831 -0.303961 0.289484 -0.348176 0.333698 -0.349208 0.332666 -0.365193 0.348651 -0.366784 0.34706 -0.371799 0.352074 -0.3775 0.346373 -0.409323 0.378196 -0.410706 0.376813 -0.411742 0.377849 -0.416327 0.373264 -0.418157 0.375093 -0.419187 0.374063 -0.431725 0.3866 -0.434679 0.383646 -0.451848 0.400814 -0.453922 0.39874 -0.456869 0.401687 -0.461966 0.39659 -0.470762 0.405386 -0.47371 0.402438 -0.475689 0.404416 -0.480251 0.399854 -0.480844 0.400447 -0.484813 0.396479 -0.485962 0.397628 -0.487319 0.396271 -0.489664 0.398616 -0.491816 0.396465 -0.501371 0.406021 -0.503717 0.403675 -0.507334 0.407292 -0.515397 0.399229 -0.517945 0.401778 -0.518324 0.401399 -0.519996 0.403071 -0.520813 0.402253 -0.534608 0.416048 -0.544261 0.406396 -0.550569 0.412704 -0.556018 0.407254 -0.557617 0.408853 -0.557888 0.408582 -0.560663 0.411357 -0.573776 0.398244 -0.579742 0.404211 -0.591169 0.392784 -0.592845 0.39446 -0.631698 0.355606 -0.631711 0.355619 -0.651274 0.336056 -0.651446 0.336228 -0.667401 0.320274 -0.668945 0.321818 -0.729941 0.260821 -0.730257 0.261137 -0.755766 0.235628 -0.756704 0.236566 -0.939395 0.0538746 -0.939787 0.0542663 -0.965163 0.0288902 -0.965564 0.0292908 -0.994855 0 -#lambda_6 -0.00537637 0 -0.00858089 0.00320452 -0.00919041 0.00259499 -0.022004 0.0154086 -0.0220066 0.015406 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0.00371895 -0.529881 0.00430577 -0.531014 0.00317274 -0.531075 0.00323314 -0.532616 0.00169162 -0.532735 0.00180985 -0.533839 0.000705105 -0.534089 0.000954577 -0.535043 0 -0.535061 0 -0.535446 0.000384389 -0.535642 0.000188521 -0.53735 0.00189653 -0.53808 0.00116678 -0.538674 0.00176137 -0.538691 0.00174471 -0.539722 0.00277602 -0.54174 0.000758243 -0.542417 0.00143563 -0.543544 0.000308931 -0.545144 0.00190941 -0.547054 0 -0.548766 0 -0.549815 0.00104824 -0.549895 0.000968181 -0.550058 0.00113164 -0.550102 0.00108733 -0.550439 0.00142426 -0.551864 0 -0.560537 0 -0.560804 0.000266933 -0.561071 0 -0.562089 0 -0.562203 0.000114 -0.562317 0 -#lambda_345 -0.522534 0 -0.522923 0.000389508 -0.523269 4.32882e-05 -0.526065 0.00283847 -0.526257 0.00264567 -0.527093 0.00348159 -0.527929 0.00264532 -0.528815 0.00353108 -0.528961 0.00338538 -0.529295 0.00371895 -0.530428 0.00258592 -0.531014 0.00317274 -0.532556 0.00163122 -0.532616 0.00169162 -0.533721 0.000586878 -0.533839 0.000705105 -0.534544 0 -0.535453 0 -0.535642 0.000188521 -0.53583 0 -0.536913 0 -0.53808 0.00116678 -0.538096 0.00115012 -0.538691 0.00174471 -0.540435 0 -0.540982 0 -0.54174 0.000758243 -0.542498 0 -0.543235 0 -0.543544 0.000308931 -0.543853 0 -0.548927 0 -0.549895 0.000968181 -0.549939 0.000923868 -0.550102 0.00108733 -0.55119 0 -#lambda_346 -0.523226 0 -0.523269 4.32882e-05 -0.523313 0 -0.523612 0 -0.526257 0.00264567 -0.527094 0.0018094 -0.527929 0.00264532 -0.528075 0.00249962 -0.528961 0.00338538 -0.530094 0.00225235 -0.530428 0.00258592 -0.531969 0.0010444 -0.532556 0.00163122 -0.533661 0.00052648 -0.533721 0.000586878 -0.534308 0 -0.536946 0 -0.538096 0.00115012 -0.539246 0 -0.549015 0 -0.549939 0.000923868 -0.550863 0 -#lambda_347 -0.525284 0 -0.527094 0.0018094 -0.527239 0.00166371 -0.528075 0.00249962 -0.529208 0.00136659 -0.530094 0.00225235 -0.531635 0.000710835 -0.531969 0.0010444 -0.533013 0 -0.533134 0 -0.533661 0.00052648 -0.534187 0 -#lambda_348 -0.525576 0 -0.527239 0.00166371 -0.528372 0.000530677 -0.529208 0.00136659 -0.530575 0 -0.530925 0 -0.531635 0.000710835 -0.532346 0 -#lambda_349 -0.527842 0 -0.528372 0.000530677 -0.528903 0 diff --git a/src/Gudhi_stat/example/multiply_by_scalar b/src/Gudhi_stat/example/multiply_by_scalar deleted file mode 100644 index 924d696a..00000000 --- a/src/Gudhi_stat/example/multiply_by_scalar +++ /dev/null @@ -1,817 +0,0 @@ -#lambda_0 -0.0290362 0 -0.273076 2.4404 -0.276873 2.40242 -0.329297 2.92665 -0.36328 2.58682 -0.485629 3.8103 -0.490689 3.75971 -0.54603 4.31313 -0.631171 3.46172 -0.63642 3.51422 -0.640956 3.46887 -0.644303 3.50234 -0.994537 0 -#lambda_1 -0.0307676 0 -0.133967 1.03199 -0.136898 1.00267 -0.276873 2.40242 -0.310857 2.06258 -0.36328 2.58682 -0.36834 2.53622 -0.490689 3.75971 -0.500148 3.66511 -0.534084 4.00446 -0.590941 3.43589 -0.612036 3.64684 -0.630859 3.45861 -0.631171 3.46172 -0.635706 3.41637 -0.640956 3.46887 -0.879378 1.08465 -0.88052 1.09607 -0.990127 0 -#lambda_2 -0.0366312 0 -0.136898 1.00267 -0.145814 0.913521 -0.188411 1.3395 -0.21348 1.08881 -0.310857 2.06258 -0.315917 2.01199 -0.36834 2.53622 -0.372727 2.49235 -0.376471 2.52978 -0.381543 2.47906 -0.500148 3.66511 -0.508229 3.58431 -0.528049 3.7825 -0.549487 3.56812 -0.551764 3.59089 -0.579102 3.3175 -0.590941 3.43589 -0.609764 3.24766 -0.630859 3.45861 -0.635394 3.41325 -0.635706 3.41637 -0.816147 1.61196 -0.81754 1.62589 -0.875521 1.04608 -0.879378 1.08465 -0.987842 0 -#lambda_3 -0.0544614 0 -0.145814 0.913521 -0.170882 0.662834 -0.21348 1.08881 -0.21854 1.03822 -0.315917 2.01199 -0.320304 1.96811 -0.372727 2.49235 -0.3778 2.44162 -0.381543 2.47906 -0.389624 2.39826 -0.508229 3.58431 -0.529248 3.37412 -0.546034 3.54197 -0.546453 3.53778 -0.549487 3.56812 -0.576826 3.29474 -0.579102 3.3175 -0.597925 3.12927 -0.609764 3.24766 -0.6143 3.20231 -0.635394 3.41325 -0.815835 1.60884 -0.816147 1.61196 -0.874128 1.03215 -0.875521 1.04608 -0.980129 0 -#lambda_4 -0.0920033 0 -0.162167 0.701632 -0.168464 0.638655 -0.170882 0.662834 -0.175942 0.61224 -0.21854 1.03822 -0.222927 0.994343 -0.320304 1.96811 -0.325376 1.91739 -0.3778 2.44162 -0.38588 2.36082 -0.389624 2.39826 -0.410259 2.1919 -0.490951 2.99882 -0.491334 2.99498 -0.529248 3.37412 -0.529667 3.36992 -0.546453 3.53778 -0.573792 3.2644 -0.576826 3.29474 -0.595649 3.1065 -0.597925 3.12927 -0.60246 3.08392 -0.6143 3.20231 -0.652776 2.81755 -0.659416 2.88395 -0.746537 2.01275 -0.752208 2.06946 -0.807053 1.52102 -0.815835 1.60884 -0.873816 1.02903 -0.874128 1.03215 -0.977343 0 -#lambda_5 -0.104599 0 -0.168464 0.638655 -0.173524 0.58806 -0.175942 0.61224 -0.180329 0.568366 -0.222927 0.994343 -0.227999 0.943619 -0.325376 1.91739 -0.333457 1.83659 -0.38588 2.36082 -0.406516 2.15446 -0.410259 2.1919 -0.410391 2.19058 -0.45834 2.67007 -0.458592 2.66755 -0.491334 2.99498 -0.491754 2.99079 -0.529667 3.36992 -0.557006 3.09654 -0.573792 3.2644 -0.592615 3.07616 -0.595649 3.1065 -0.600184 3.06115 -0.60246 3.08392 -0.640936 2.69916 -0.652776 2.81755 -0.739896 1.94634 -0.746537 2.01275 -0.801381 1.4643 -0.807053 1.52102 -0.865034 0.941206 -0.873816 1.02903 -0.976719 0 -#lambda_6 -0.114718 0 -0.173524 0.58806 -0.177911 0.544186 -0.180329 0.568366 -0.185402 0.517641 -0.227999 0.943619 -0.23608 0.862815 -0.333457 1.83659 -0.354092 1.63023 -0.406516 2.15446 -0.406648 2.15314 -0.410391 2.19058 -0.410643 2.18807 -0.458592 2.66755 -0.459011 2.66336 -0.491754 2.99079 -0.519092 2.7174 -0.557006 3.09654 -0.56704 2.99619 -0.578509 3.11088 -0.587298 3.023 -0.592615 3.07616 -0.59715 3.03081 -0.600184 3.06115 -0.63866 2.67639 -0.640936 2.69916 -0.728057 1.82795 -0.739896 1.94634 -0.794741 1.3979 -0.801381 1.4643 -0.859362 0.884492 -0.865034 0.941206 -0.916025 0.431291 -0.924275 0.513791 -0.975654 0 -#lambda_7 -0.117379 0 -0.127589 0.102096 -0.130645 0.0715284 -0.177911 0.544186 -0.182984 0.493461 -0.185402 0.517641 -0.193482 0.436837 -0.23608 0.862815 -0.240402 0.819591 -0.323826 1.65383 -0.340139 1.4907 -0.354092 1.63023 -0.354224 1.62891 -0.406648 2.15314 -0.406899 2.15063 -0.410643 2.18807 -0.411062 2.18387 -0.459011 2.66336 -0.486349 2.38998 -0.519092 2.7174 -0.529127 2.61706 -0.56704 2.99619 -0.575829 2.90831 -0.587298 3.023 -0.591833 2.97764 -0.59715 3.03081 -0.611692 2.88539 -0.6135 2.90348 -0.637434 2.66413 -0.63866 2.67639 -0.725781 1.80518 -0.728057 1.82795 -0.782901 1.27951 -0.794741 1.3979 -0.852722 0.818087 -0.859362 0.884492 -0.910354 0.374576 -0.916025 0.431291 -0.959154 0 -#lambda_8 -0.123493 0 -0.130645 0.0715284 -0.135718 0.0208036 -0.182984 0.493461 -0.191064 0.412657 -0.193482 0.436837 -0.197804 0.393613 -0.240402 0.819591 -0.256715 0.65646 -0.340139 1.4907 -0.340271 1.48938 -0.354224 1.62891 -0.354476 1.6264 -0.406899 2.15063 -0.407318 2.14643 -0.411062 2.18387 -0.432004 1.97446 -0.478291 2.43732 -0.484687 2.37336 -0.486349 2.38998 -0.496384 2.28963 -0.529127 2.61706 -0.537777 2.53055 -0.569195 2.84473 -0.569333 2.84335 -0.575829 2.90831 -0.580364 2.86295 -0.591833 2.97764 -0.606375 2.83223 -0.611692 2.88539 -0.635626 2.64605 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0.322402 -0.189172 0.307294 -0.195386 0.369434 -0.211699 0.206303 -0.214117 0.230483 -0.214249 0.229162 -0.256847 0.65514 -0.257099 0.652625 -0.340523 1.48687 -0.340942 1.48267 -0.354895 1.6222 -0.36777 1.49345 -0.402826 1.84401 -0.410893 1.76334 -0.42826 1.93702 -0.434657 1.87305 -0.438401 1.91049 -0.448435 1.81014 -0.494722 2.27301 -0.503372 2.18651 -0.505034 2.20313 -0.505173 2.20174 -0.537915 2.52917 -0.542451 2.48382 -0.573869 2.798 -0.58841 2.65258 -0.594906 2.71754 -0.61884 2.47819 -0.630309 2.59288 -0.71743 1.72168 -0.722747 1.77484 -0.777591 1.2264 -0.779399 1.24448 -0.83738 0.664671 -0.838606 0.67693 -0.877802 0.284973 -0.880078 0.307738 -0.891874 0.189779 -0.903713 0.308171 -0.93453 0 -#lambda_11 -0.158443 0 -0.189172 0.307294 -0.205486 0.144164 -0.211699 0.206303 -0.211832 0.204983 -0.214249 0.229162 -0.214501 0.226647 -0.257099 0.652625 -0.257518 0.648432 -0.340942 1.48267 -0.353817 1.35392 -0.36777 1.49345 -0.375837 1.41279 -0.410893 1.76334 -0.417289 1.69937 -0.434657 1.87305 -0.444691 1.77271 -0.448435 1.81014 -0.448771 1.80678 -0.477632 2.09539 -0.485947 2.01225 -0.503372 2.18651 -0.503511 2.18512 -0.505173 2.20174 -0.509708 2.15639 -0.542451 2.48382 -0.556992 2.3384 -0.58841 2.65258 -0.612345 2.41324 -0.61884 2.47819 -0.705961 1.60699 -0.71743 1.72168 -0.772274 1.17323 -0.777591 1.2264 -0.835572 0.64659 -0.83738 0.664671 -0.876576 0.272714 -0.877802 0.284973 -0.889598 0.167015 -0.891874 0.189779 -0.910852 0 -#lambda_12 -0.176956 0 -0.180095 0.0313879 -0.183234 0 -0.191069 0 -0.205486 0.144164 -0.205618 0.142844 -0.211832 0.204983 -0.212083 0.202468 -0.214501 0.226647 -0.21492 0.222454 -0.257518 0.648432 -0.270393 0.519679 -0.353817 1.35392 -0.361884 1.27326 -0.375837 1.41279 -0.382234 1.34882 -0.417289 1.69937 -0.427324 1.59903 -0.444691 1.77271 -0.445028 1.76934 -0.448771 1.80678 -0.457086 1.72364 -0.485947 2.01225 -0.486085 2.01087 -0.503511 2.18512 -0.508046 2.13977 -0.509708 2.15639 -0.52425 2.01097 -0.556992 2.3384 -0.580927 2.09906 -0.612345 2.41324 -0.699465 1.54203 -0.705961 1.60699 -0.760805 1.05854 -0.772274 1.17323 -0.830255 0.593421 -0.835572 0.64659 -0.874768 0.254633 -0.876576 0.272714 -0.888372 0.154756 -0.889598 0.167015 -0.906299 0 -#lambda_13 -0.191333 0 -0.205618 0.142844 -0.205869 0.140328 -0.212083 0.202468 -0.212502 0.198274 -0.21492 0.222454 -0.222865 0.143007 -0.243649 0.350847 -0.24858 0.301542 -0.270393 0.519679 -0.27846 0.439015 -0.361884 1.27326 -0.368281 1.20929 -0.382234 1.34882 -0.392268 1.24847 -0.427324 1.59903 -0.42766 1.59567 -0.445028 1.76934 -0.453342 1.6862 -0.457086 1.72364 -0.457224 1.72226 -0.486085 2.01087 -0.49062 1.96551 -0.508046 2.13977 -0.522588 1.99435 -0.52425 2.01097 -0.548184 1.77163 -0.580927 2.09906 -0.668047 1.22785 -0.699465 1.54203 -0.75431 0.993589 -0.760805 1.05854 -0.818786 0.478731 -0.830255 0.593421 -0.869451 0.201464 -0.874768 0.254633 -0.886564 0.136675 -0.888372 0.154756 -0.903847 0 -#lambda_14 -0.191836 0 -0.205869 0.140328 -0.206288 0.136135 -0.212502 0.198274 -0.220447 0.118827 -0.222865 0.143007 -0.227796 0.0937014 -0.24858 0.301542 -0.256646 0.220878 -0.27846 0.439015 -0.284857 0.375047 -0.368281 1.20929 -0.378315 1.10894 -0.392268 1.24847 -0.392604 1.24511 -0.42766 1.59567 -0.435974 1.51253 -0.453342 1.6862 -0.45348 1.68482 -0.457224 1.72226 -0.461759 1.6769 -0.49062 1.96551 -0.496732 1.90439 -0.501661 1.95368 -0.510091 1.86939 -0.522588 1.99435 -0.546522 1.75501 -0.548184 1.77163 -0.635305 0.900423 -0.668047 1.22785 -0.69674 0.940929 -0.711929 1.09282 -0.738081 0.831299 -0.75431 0.993589 -0.812291 0.413778 -0.818786 0.478731 -0.857982 0.0867738 -0.869451 0.201464 -0.881247 0.0835057 -0.886564 0.136675 -0.900231 0 -#lambda_15 -0.192675 0 -0.206288 0.136135 -0.214233 0.0566879 -0.220447 0.118827 -0.225378 0.0695217 -0.227796 0.0937014 -0.235862 0.0130373 -0.256646 0.220878 -0.263043 0.15691 -0.284857 0.375047 -0.294891 0.274702 -0.378315 1.10894 -0.378651 1.10558 -0.392604 1.24511 -0.400919 1.16197 -0.435974 1.51253 -0.436113 1.51114 -0.45348 1.68482 -0.458015 1.63947 -0.461759 1.6769 -0.467871 1.61578 -0.496732 1.90439 -0.505162 1.8201 -0.510091 1.86939 -0.534025 1.63005 -0.546522 1.75501 -0.633643 0.883803 -0.635305 0.900423 -0.663997 0.613501 -0.69674 0.940929 -0.722892 0.679409 -0.738081 0.831299 -0.796062 0.251487 -0.812291 0.413778 -0.851487 0.0218203 -0.857982 0.0867738 -0.866659 0 -0.872896 0 -0.881247 0.0835057 -0.889597 0 -#lambda_16 -0.208564 0 -0.214233 0.0566879 -0.219164 0.00738249 -0.225378 0.0695217 -0.23233 0 -0.234558 0 -0.235862 0.0130373 -0.237166 0 -0.247352 0 -0.263043 0.15691 -0.273077 0.0565653 -0.294891 0.274702 -0.295227 0.271341 -0.378651 1.10558 -0.386966 1.02244 -0.400919 1.16197 -0.401057 1.16059 -0.436113 1.51114 -0.440648 1.46579 -0.458015 1.63947 -0.464127 1.57834 -0.467871 1.61578 -0.476301 1.53149 -0.505162 1.8201 -0.529096 1.58075 -0.534025 1.63005 -0.621146 0.758838 -0.633643 0.883803 -0.662335 0.596881 -0.663997 0.613501 -0.690149 0.35198 -0.722892 0.679409 -0.780873 0.0995978 -0.796062 0.251487 -0.821211 0 -0.849305 0 -0.851487 0.0218203 -0.853669 0 -#lambda_17 -0.218425 0 -0.219164 0.00738249 -0.219902 0 -0.267421 0 -0.273077 0.0565653 -0.273413 0.0532039 -0.295227 0.271341 -0.303541 0.188198 -0.386966 1.02244 -0.387104 1.02106 -0.401057 1.16059 -0.405592 1.11523 -0.440648 1.46579 -0.44676 1.40467 -0.464127 1.57834 -0.472557 1.49405 -0.476301 1.53149 -0.500235 1.29214 -0.529096 1.58075 -0.616217 0.709547 -0.621146 0.758838 -0.645033 0.519969 -0.647105 0.540688 -0.65191 0.492634 -0.662335 0.596881 -0.686402 0.35621 -0.686539 0.357586 -0.688624 0.336736 -0.690149 0.35198 -0.704418 0.209288 -0.720922 0.374331 -0.758355 0 -0.770913 0 -0.780873 0.0995978 -0.790833 0 -#lambda_18 -0.268093 0 -0.273413 0.0532039 -0.278734 0 -0.284722 0 -0.303541 0.188198 -0.30368 0.186815 -0.387104 1.02106 -0.391639 0.975703 -0.405592 1.11523 -0.411704 1.05411 -0.44676 1.40467 -0.45519 1.32037 -0.472557 1.49405 -0.496491 1.25471 -0.500235 1.29214 -0.500922 1.28527 -0.510982 1.38587 -0.597416 0.521537 -0.616217 0.709547 -0.640104 0.470677 -0.645033 0.519969 -0.649838 0.471916 -0.65191 0.492634 -0.675977 0.251964 -0.686402 0.35621 -0.688487 0.33536 -0.688624 0.336736 -0.702894 0.194043 -0.704418 0.209288 -0.721485 0.0386195 -0.724166 0.0654325 -0.73071 0 -#lambda_19 -0.284998 0 -0.30368 0.186815 -0.308215 0.141462 -0.391639 0.975703 -0.397751 0.914582 -0.411704 1.05411 -0.420134 0.969815 -0.45519 1.32037 -0.479124 1.08103 -0.496491 1.25471 -0.497179 1.24783 -0.500922 1.28527 -0.587356 0.420936 -0.597416 0.521537 -0.621303 0.282668 -0.640104 0.470677 -0.644909 0.422624 -0.649838 0.471916 -0.673905 0.231246 -0.675977 0.251964 -0.678062 0.231114 -0.688487 0.33536 -0.702756 0.192668 -0.702894 0.194043 -0.71996 0.0233748 -0.721485 0.0386195 -0.725347 0 -#lambda_20 -0.294069 0 -0.308215 0.141462 -0.314327 0.0803414 -0.397751 0.914582 -0.406181 0.830285 -0.420134 0.969815 -0.444068 0.730472 -0.479124 1.08103 -0.479811 1.07416 -0.497179 1.24783 -0.583612 0.383499 -0.587356 0.420936 -0.611243 0.182066 -0.621303 0.282668 -0.626108 0.234615 -0.644909 0.422624 -0.668976 0.181954 -0.673905 0.231246 -0.67599 0.210396 -0.678062 0.231114 -0.692331 0.0884218 -0.702756 0.192668 -0.719823 0.0219994 -0.71996 0.0233748 -0.722298 0 -#lambda_21 -0.306293 0 -0.314327 0.0803414 -0.322361 0 -0.323152 0 -0.406181 0.830285 -0.430115 0.590942 -0.444068 0.730472 -0.444755 0.7236 -0.479811 1.07416 -0.566245 0.209823 -0.583612 0.383499 -0.607499 0.144629 -0.611243 0.182066 -0.616048 0.134013 -0.626108 0.234615 -0.64957 0 -0.650781 0 -0.668976 0.181954 -0.671061 0.161104 -0.67599 0.210396 -0.69026 0.0677034 -0.692331 0.0884218 -0.701174 0 -0.717623 0 -0.719823 0.0219994 -0.722023 0 -#lambda_22 -0.371021 0 -0.430115 0.590942 -0.430802 0.584071 -0.444755 0.7236 -0.476326 0.407894 -0.484101 0.485642 -0.532665 0 -0.545262 0 -0.566245 0.209823 -0.587227 0 -0.593036 0 -0.607499 0.144629 -0.612304 0.096576 -0.616048 0.134013 -0.617247 0.122027 -0.620882 0.158375 -0.636719 0 -0.654951 0 -0.671061 0.161104 -0.68533 0.0184115 -0.69026 0.0677034 -0.69703 0 -#lambda_23 -0.372395 0 -0.430802 0.584071 -0.462373 0.268364 -0.476326 0.407894 -0.500342 0.167732 -0.502883 0.193141 -0.522197 0 -0.602647 0 -0.612304 0.096576 -0.613503 0.0845896 -0.617247 0.122027 -0.629449 0 -0.683489 0 -0.68533 0.0184115 -0.687172 0 -#lambda_24 -0.387744 0 -0.425327 0.375838 -0.449224 0.136873 -0.462373 0.268364 -0.486389 0.0282021 -0.500342 0.167732 -0.517115 0 -0.605044 0 -0.613503 0.0845896 -0.621962 0 -#lambda_25 -0.435537 0 -0.449224 0.136873 -0.462911 0 -0.483569 0 -0.486389 0.0282021 -0.489209 0 diff --git a/src/Gudhi_stat/example/persistence_landscape b/src/Gudhi_stat/example/persistence_landscape deleted file mode 100755 index d6b69822..00000000 Binary files a/src/Gudhi_stat/example/persistence_landscape and /dev/null differ diff --git a/src/Gudhi_stat/example/sum b/src/Gudhi_stat/example/sum deleted file mode 100644 index 79480306..00000000 --- a/src/Gudhi_stat/example/sum +++ /dev/null @@ -1,148611 +0,0 @@ -#lambda_0 -0.00115996 0 -0.0290362 0.0278763 -0.0705916 0.110987 -0.0707351 0.110987 -0.273076 0.515668 -0.276873 0.515668 -0.297446 0.556814 -0.299309 0.556815 -0.329297 0.61679 -0.36328 0.61679 -0.443232 0.776693 -0.462177 0.776692 -0.485629 0.823596 -0.490689 0.823596 -0.507542 0.857302 -0.536031 0.857302 -0.54603 0.877301 -0.547048 0.877301 -0.571679 0.828038 -0.573069 0.828038 -0.631171 0.711835 -0.63642 0.711835 -0.636462 0.711751 -0.637257 0.71175 -0.640956 0.704353 -0.644303 0.704353 -0.967347 0.0582646 -0.96765 0.0582641 -0.994537 0.00448995 -0.999027 0 -#lambda_1 -0.00144702 0 -0.0307676 0.0293206 -0.0707351 0.109256 -0.0725442 0.109256 -0.133967 0.232101 -0.136898 0.232101 -0.276873 0.51205 -0.292533 0.51205 -0.292586 0.511943 -0.299309 0.511943 -0.30002 0.51052 -0.310857 0.51052 -0.36328 0.615366 -0.36834 0.615366 -0.399923 0.678532 -0.399925 0.678532 -0.429631 0.737944 -0.43268 0.737944 -0.444423 0.76143 -0.445313 0.76143 -0.447291 0.765387 -0.461584 0.765387 -0.462177 0.766573 -0.466162 0.766573 -0.469657 0.773563 -0.476828 0.773562 -0.490689 0.801283 -0.500148 0.801283 -0.515923 0.832832 -0.533256 0.832832 -0.534084 0.834488 -0.536031 0.834488 -0.544472 0.817606 -0.552128 0.817605 -0.562598 0.796665 -0.56277 0.796665 -0.56849 0.785225 -0.571679 0.785225 -0.590941 0.746701 -0.612036 0.746702 -0.630859 0.709056 -0.631171 0.709056 -0.635073 0.701251 -0.635706 0.701251 -0.636462 0.702764 -0.640956 0.702764 -0.758486 0.467704 -0.758779 0.467705 -0.879378 0.226508 -0.88052 0.226508 -0.966847 0.0538541 -0.967347 0.0538546 -0.990127 0.00829479 -0.998422 0 -#lambda_2 -0.00267455 0 -0.00722998 0.00455543 -0.00737515 0.00441026 -0.0201887 0.0172238 -0.0212389 0.0161737 -0.0366312 0.031566 -0.0725442 0.103392 -0.0725976 0.103392 -0.136898 0.231994 -0.145814 0.231994 -0.188411 0.317189 -0.21348 0.317189 -0.292586 0.475401 -0.293298 0.475401 -0.30002 0.488846 -0.300023 0.488846 -0.310857 0.510514 -0.315917 0.510514 -0.36834 0.615362 -0.372727 0.615362 -0.376471 0.622849 -0.381543 0.622849 -0.399925 0.659612 -0.402974 0.659612 -0.43268 0.719024 -0.43357 0.719024 -0.445313 0.74251 -0.459606 0.74251 -0.461584 0.746467 -0.465569 0.746467 -0.466162 0.747653 -0.473334 0.747654 -0.476828 0.754642 -0.479777 0.754643 -0.500148 0.795386 -0.508229 0.795386 -0.517273 0.813475 -0.528049 0.813474 -0.531657 0.806257 -0.533256 0.806257 -0.541697 0.789375 -0.544472 0.789375 -0.549487 0.779345 -0.551764 0.779345 -0.554943 0.772986 -0.562598 0.772987 -0.568318 0.761547 -0.56849 0.761547 -0.579102 0.740323 -0.581603 0.740323 -0.583463 0.744043 -0.590941 0.744043 -0.609764 0.706396 -0.630859 0.706396 -0.633743 0.700627 -0.635073 0.700627 -0.635394 0.699985 -0.635706 0.699985 -0.67059 0.630216 -0.671354 0.630216 -0.757859 0.457205 -0.758486 0.457205 -0.816147 0.341883 -0.81754 0.341883 -0.875521 0.22592 -0.879378 0.22592 -0.966553 0.0515693 -0.966847 0.0515692 -0.987842 0.00957878 -0.997421 0 -#lambda_3 -0.00296489 0 -0.00737515 0.00441026 -0.00842527 0.00336013 -0.0212389 0.0161737 -0.0212923 0.0161203 -0.0544614 0.0492894 -0.0725976 0.0855618 -0.0726998 0.0855618 -0.145814 0.231789 -0.170882 0.231789 -0.171718 0.23346 -0.172327 0.23346 -0.21348 0.315766 -0.21854 0.315766 -0.293298 0.465282 -0.2933 0.465282 -0.300023 0.478727 -0.303072 0.478727 -0.315917 0.504416 -0.320304 0.504416 -0.372727 0.609264 -0.3778 0.609264 -0.381543 0.616751 -0.389624 0.616751 -0.402974 0.643452 -0.403864 0.643452 -0.43357 0.702864 -0.447863 0.702864 -0.459606 0.72635 -0.463591 0.72635 -0.465569 0.730307 -0.472741 0.730308 -0.473334 0.731494 -0.476282 0.731493 -0.479777 0.738483 -0.488307 0.738482 -0.504029 0.769925 -0.508229 0.769925 -0.509882 0.766618 -0.529248 0.766617 -0.531657 0.771436 -0.540099 0.771437 -0.541697 0.774634 -0.546034 0.774634 -0.546453 0.773795 -0.549487 0.773795 -0.552168 0.768433 -0.554943 0.768433 -0.560392 0.757535 -0.566359 0.757535 -0.566629 0.756994 -0.568318 0.756994 -0.576826 0.739979 -0.579102 0.739979 -0.581431 0.735321 -0.581603 0.735321 -0.597925 0.702677 -0.609764 0.702677 -0.6143 0.693606 -0.631883 0.693606 -0.633743 0.697325 -0.635394 0.697325 -0.669261 0.629592 -0.67059 0.629592 -0.757096 0.456581 -0.757859 0.456581 -0.815835 0.340629 -0.816147 0.340629 -0.874128 0.224667 -0.875521 0.224667 -0.965927 0.0438553 -0.966553 0.0438557 -0.980129 0.0167045 -0.996833 0 -#lambda_4 -0.00506514 0 -0.00842527 0.00336013 -0.0084787 0.0033067 -0.0212923 0.0161203 -0.0213945 0.0160181 -0.0726998 0.0673234 -0.0733093 0.0667139 -0.0920033 0.085408 -0.162167 0.225735 -0.168464 0.225735 -0.170882 0.230571 -0.172327 0.230571 -0.17233 0.230565 -0.175942 0.230565 -0.21854 0.315761 -0.222927 0.315761 -0.2933 0.456507 -0.296349 0.456507 -0.303072 0.469952 -0.303615 0.469953 -0.320304 0.503331 -0.325376 0.503331 -0.347829 0.548236 -0.348176 0.548236 -0.3778 0.607484 -0.38588 0.607484 -0.389624 0.614971 -0.403864 0.614971 -0.410259 0.602181 -0.418157 0.602181 -0.447863 0.661593 -0.451848 0.661593 -0.463591 0.685079 -0.470762 0.685079 -0.472741 0.689037 -0.475689 0.689036 -0.476282 0.690222 -0.480844 0.690222 -0.481994 0.692521 -0.485962 0.692521 -0.488307 0.697211 -0.489664 0.697211 -0.490951 0.699785 -0.491334 0.699785 -0.502837 0.72279 -0.507334 0.72279 -0.509882 0.727887 -0.517945 0.727887 -0.519617 0.731231 -0.519996 0.731231 -0.529248 0.749734 -0.529667 0.749734 -0.540099 0.770598 -0.546453 0.770598 -0.550569 0.762366 -0.552168 0.762365 -0.557617 0.751467 -0.560392 0.751467 -0.560663 0.750925 -0.566629 0.750926 -0.573792 0.736601 -0.576826 0.736601 -0.579742 0.730768 -0.581431 0.730768 -0.595649 0.702332 -0.597925 0.702332 -0.60246 0.693262 -0.6143 0.693262 -0.631711 0.658438 -0.631883 0.658439 -0.651446 0.619312 -0.652776 0.619312 -0.65299 0.619741 -0.659416 0.619742 -0.668945 0.600685 -0.669261 0.600685 -0.730257 0.478692 -0.731195 0.478692 -0.746537 0.448008 -0.752208 0.448008 -0.756704 0.439016 -0.757096 0.439016 -0.807053 0.339103 -0.815835 0.339103 -0.873816 0.22314 -0.874128 0.22314 -0.939787 0.0918221 -0.940188 0.0918217 -0.965564 0.0410696 -0.965927 0.0410695 -0.977343 0.0182376 -0.99558 0 -#lambda_5 -0.005172 0 -0.0084787 0.0033067 -0.00858089 0.00320452 -0.0213945 0.0160181 -0.022004 0.0154086 -0.0733093 0.0667139 -0.0733119 0.0667113 -0.104599 0.0979981 -0.168464 0.225729 -0.17233 0.225729 -0.172611 0.225167 -0.173524 0.225167 -0.175942 0.230003 -0.180329 0.230003 -0.218037 0.305418 -0.220805 0.305418 -0.222927 0.309662 -0.227999 0.309662 -0.296349 0.446362 -0.296892 0.446362 -0.303615 0.459808 -0.303961 0.459807 -0.325376 0.502638 -0.333457 0.502638 -0.348176 0.532076 -0.349208 0.532076 -0.365193 0.564046 -0.366784 0.564046 -0.371799 0.574075 -0.3775 0.574075 -0.38588 0.590835 -0.406516 0.590835 -0.409323 0.59645 -0.410259 0.59645 -0.410391 0.596186 -0.410706 0.596186 -0.411742 0.598258 -0.416327 0.598258 -0.418157 0.601917 -0.419187 0.601917 -0.431725 0.626992 -0.434679 0.626992 -0.451848 0.661329 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svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1358 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 0e9d6a12249ef1890bfd3db26e15ff01b716eca2 --- src/Gudhi_stat/example/persistence_intervals.cpp | 118 +++++++++++++++++++++++ src/Gudhi_stat/example/vector_representation.cpp | 78 +++++++++++++++ 2 files changed, 196 insertions(+) create mode 100644 src/Gudhi_stat/example/persistence_intervals.cpp create mode 100644 src/Gudhi_stat/example/vector_representation.cpp (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/persistence_intervals.cpp b/src/Gudhi_stat/example/persistence_intervals.cpp new file mode 100644 index 00000000..296b4944 --- /dev/null +++ b/src/Gudhi_stat/example/persistence_intervals.cpp @@ -0,0 +1,118 @@ +/* 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 Sophia-Saclay (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 "gudhi/concretizations/persistence_intervals.h" + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + + +double epsilon = 0.0000005; + +using namespace std; + + +int main( int argc , char** argv ) +{ + if ( argc != 2 ) + { + cout << "To run this program, please provide the name of a file with persistence diagram \n"; + return 1; + } + + Persistence_intervals p( argv[1] ); + std::pair min_max_ = p.min_max(); + + cout << "Birth-death range : " << min_max_.first << " " << min_max_.second << endl; + + + std::vector dominant_ten_intervals_length = p.length_of_dominant_intervals(10); + cout << "Lendth of ten dominant intervals : " << endl; + for ( size_t i = 0 ; i != dominant_ten_intervals_length.size() ; ++i ) + { + cout << dominant_ten_intervals_length[i] << endl; + } + std::vector< std::pair > ten_dominant_intervals = p.dominant_intervals( 10 ); + + cout << "Here are the dominant intervals : " << endl; + for ( size_t i = 0 ; i != ten_dominant_intervals.size() ; ++i ) + { + cout << "( " << ten_dominant_intervals[i].first<< "," << ten_dominant_intervals[i].second << endl; + } + + std::vector< size_t > histogram = p.histograms_of_lengths( 10 ); + cout << "Here is the histogram of barcode's length : " << endl; + for ( size_t i = 0 ; i != histogram.size() ; ++i ) + { + cout << histogram[i] << " "; + } + cout << endl; + + + std::vector< size_t > cumulative_histogram = p.cumulative_histograms_of_lengths( 10 ); + cout<< "Cumuative histogram : " << endl; + for ( size_t i = 0 ; i != cumulative_histogram.size() ; ++i ) + { + cout << cumulative_histogram[i] << " "; + } + cout << endl; + + std::vector< double > char_funct_diag = p.characteristic_function_of_diagram( min_max_.first , min_max_.second ); + cout << "Characteristic function of diagram : " << endl; + for ( size_t i = 0 ; i != char_funct_diag.size() ; ++i ) + { + cout << char_funct_diag[i] << " "; + } + cout << endl; + + std::vector< double > cumul_char_funct_diag = p.cumulative_characteristic_function_of_diagram( min_max_.first , min_max_.second ); + cout << "Cumulative characteristic function of diagram : " << endl; + for ( size_t i = 0 ; i != cumul_char_funct_diag.size() ; ++i ) + { + cout << cumul_char_funct_diag[i] << " "; + } + cout << endl; + + cout << "Persistence Betti numbers \n"; + std::vector< std::pair< double , size_t > > pbns = p.compute_persistent_betti_numbers(); + for ( size_t i = 0 ; i != pbns.size() ; ++i ) + { + cout << pbns[i].first << " " << pbns[i].second << endl; + } + + return 0; +} + + + + + + + diff --git a/src/Gudhi_stat/example/vector_representation.cpp b/src/Gudhi_stat/example/vector_representation.cpp new file mode 100644 index 00000000..4e9cd1a6 --- /dev/null +++ b/src/Gudhi_stat/example/vector_representation.cpp @@ -0,0 +1,78 @@ +/* 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 Sophia-Saclay (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 +#include +#include +#include + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +using namespace std; + + +double epsilon = 0.000005; + + + +int main( int argc , char** argv ) +{ + if ( argc < 2 ) + { + cout << "To run this program, please provide the name of a file with persistence diagram. If you provide two files, we will do distance, scalar produc and average computations \n"; + return 1; + } + + Vector_distances_in_diagram< euclidean_distance > p( argv[1] , 100 ); + + cout << "This is a vector corresponding to the input persistence diagram : \n"; + cout << p << endl; + + + + if ( argc == 3 ) + { + Vector_distances_in_diagram< euclidean_distance > p_prime( argv[2] , 100); + + cout << "p_prime : " < to_average; + to_average.push_back( (Abs_Topological_data_with_averages*)(&p) ); + to_average.push_back( (Abs_Topological_data_with_averages*)(&p_prime) ); + + Vector_distances_in_diagram< euclidean_distance > average; + average.compute_average( to_average ); + + cout << "Here is an average : " << average << endl; + } + return 0; +} + + -- cgit v1.2.3 From bef47576f91c005417ac589b91f6c236fa5a1b60 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Thu, 30 Jun 2016 07:59:24 +0000 Subject: removing files again git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1361 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 9d7b3d461e8de61bed508754106ed3d8f2af0aab --- CMakeLists.txt | 3 + src/Gudhi_stat/example/Makefile | 259 - src/Gudhi_stat/example/average | 148611 -------------------------- src/Gudhi_stat/example/cmake_install.cmake | 34 - src/Gudhi_stat/example/difference | 148611 -------------------------- 5 files changed, 3 insertions(+), 297515 deletions(-) delete mode 100644 src/Gudhi_stat/example/Makefile delete mode 100644 src/Gudhi_stat/example/average delete mode 100644 src/Gudhi_stat/example/cmake_install.cmake delete mode 100644 src/Gudhi_stat/example/difference (limited to 'src/Gudhi_stat/example') diff --git a/CMakeLists.txt b/CMakeLists.txt index 9e85be8a..e22be07b 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -111,6 +111,7 @@ endif() include_directories(src/Simplex_tree/include/) include_directories(src/Skeleton_blocker/include/) include_directories(src/Witness_complex/include/) + include_directories(src/Gudhi_stat/include/) add_subdirectory(src/common/example) add_subdirectory(src/common/test) @@ -127,6 +128,8 @@ endif() add_subdirectory(src/Bitmap_cubical_complex/example) add_subdirectory(src/Alpha_complex/example) add_subdirectory(src/Alpha_complex/test) + add_subdirectory(src/Gudhi_stat/test) + add_subdirectory(src/Gudhi_stat/example) # data points generator add_subdirectory(data/points/generator) diff --git a/src/Gudhi_stat/example/Makefile b/src/Gudhi_stat/example/Makefile deleted file mode 100644 index 523396e5..00000000 --- a/src/Gudhi_stat/example/Makefile +++ /dev/null @@ -1,259 +0,0 @@ -# CMAKE generated file: DO NOT EDIT! -# Generated by "Unix Makefiles" Generator, CMake Version 2.8 - -# Default target executed when no arguments are given to make. -default_target: all -.PHONY : default_target - -#============================================================================= -# Special targets 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-0.549015 0 -0.549939 0.000461934 -0.550863 0 -#lambda_347 -0.525284 0 -0.527094 0.000904701 -0.527239 0.000831853 -0.528075 0.00124981 -0.529208 0.000683295 -0.530094 0.00112618 -0.531635 0.000355417 -0.531969 0.000522202 -0.533013 0 -0.533134 0 -0.533661 0.00026324 -0.534187 0 -#lambda_348 -0.525576 0 -0.527239 0.000831853 -0.528372 0.000265338 -0.529208 0.000683295 -0.530575 0 -0.530925 0 -0.531635 0.000355417 -0.532346 0 -#lambda_349 -0.527842 0 -0.528372 0.000265338 -0.528903 0 diff --git a/src/Gudhi_stat/example/cmake_install.cmake b/src/Gudhi_stat/example/cmake_install.cmake deleted file mode 100644 index 1c2a5bf5..00000000 --- a/src/Gudhi_stat/example/cmake_install.cmake +++ /dev/null @@ -1,34 +0,0 @@ -# Install script for directory: /home/pawel/Dropbox/gudhi/gudhi_stat/src/Gudhi_stat/example - -# Set the install prefix -IF(NOT DEFINED CMAKE_INSTALL_PREFIX) - SET(CMAKE_INSTALL_PREFIX "/usr/local") -ENDIF(NOT DEFINED CMAKE_INSTALL_PREFIX) -STRING(REGEX REPLACE "/$" "" CMAKE_INSTALL_PREFIX "${CMAKE_INSTALL_PREFIX}") - -# Set the install configuration name. -IF(NOT DEFINED CMAKE_INSTALL_CONFIG_NAME) - IF(BUILD_TYPE) - STRING(REGEX REPLACE "^[^A-Za-z0-9_]+" "" - CMAKE_INSTALL_CONFIG_NAME "${BUILD_TYPE}") - ELSE(BUILD_TYPE) - SET(CMAKE_INSTALL_CONFIG_NAME "Release") - ENDIF(BUILD_TYPE) - MESSAGE(STATUS "Install configuration: \"${CMAKE_INSTALL_CONFIG_NAME}\"") -ENDIF(NOT DEFINED CMAKE_INSTALL_CONFIG_NAME) - -# Set the component getting installed. -IF(NOT CMAKE_INSTALL_COMPONENT) - IF(COMPONENT) - MESSAGE(STATUS "Install component: \"${COMPONENT}\"") - SET(CMAKE_INSTALL_COMPONENT "${COMPONENT}") - ELSE(COMPONENT) - SET(CMAKE_INSTALL_COMPONENT) - ENDIF(COMPONENT) -ENDIF(NOT CMAKE_INSTALL_COMPONENT) - -# Install shared libraries without execute permission? -IF(NOT DEFINED CMAKE_INSTALL_SO_NO_EXE) - SET(CMAKE_INSTALL_SO_NO_EXE "1") -ENDIF(NOT DEFINED CMAKE_INSTALL_SO_NO_EXE) - diff --git a/src/Gudhi_stat/example/difference b/src/Gudhi_stat/example/difference deleted file mode 100644 index aab93608..00000000 --- a/src/Gudhi_stat/example/difference +++ /dev/null @@ -1,148611 +0,0 @@ -#lambda_0 -0.00115996 0 -0.0290362 -0.0278763 -0.0705916 -0.0278762 -0.0707351 -0.0275892 -0.273076 -0.0275892 -0.276873 -0.0351842 -0.297446 -0.0351842 -0.299309 -0.0314592 -0.329297 -0.0314592 -0.36328 -0.0994268 -0.443232 -0.0994268 -0.462177 -0.0615358 -0.485629 -0.0615353 -0.490689 -0.0716542 -0.507542 -0.0716538 -0.536031 -0.0146758 -0.54603 -0.0146758 -0.547048 -0.0167112 -0.571679 -0.0167102 -0.573069 -0.0194902 -0.631171 -0.0194902 -0.63642 -0.00899078 -0.636462 -0.00899078 -0.637257 -0.0105798 -0.640956 -0.0105798 -0.644303 -0.00388494 -0.967347 -0.00388445 -0.96765 -0.00448995 -0.994537 -0.00448995 -0.999027 0 -#lambda_1 -0.00144702 0 -0.0307676 -0.0293206 -0.0707351 -0.0293206 -0.0725442 -0.0257024 -0.133967 -0.0257025 -0.136898 -0.031566 -0.276873 -0.0315662 -0.292533 -0.0628857 -0.292586 -0.0628847 -0.299309 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-0.528372 -0.000530677 -0.529208 -0.00136659 -0.530575 0 -0.530925 0 -0.531635 -0.000710835 -0.532346 0 -#lambda_349 -0.527842 0 -0.528372 -0.000530677 -0.528903 0 -- cgit v1.2.3 From 219a6e98fa3dbb3a2bd3b9e7f174d5e3acbeb1b7 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Thu, 30 Jun 2016 08:02:57 +0000 Subject: other small changes. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1362 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 5effa37d67053c2932411bdc9b00993490bf9182 --- src/Gudhi_stat/example/persistence_intervals.cpp | 2 +- .../gudhi/concretizations/Persistence_landscapes.h | 280 ++++++++++----------- src/Gudhi_stat/test/persistence_intervals_test.cpp | 2 +- 3 files changed, 142 insertions(+), 142 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/persistence_intervals.cpp b/src/Gudhi_stat/example/persistence_intervals.cpp index 296b4944..0f374b07 100644 --- a/src/Gudhi_stat/example/persistence_intervals.cpp +++ b/src/Gudhi_stat/example/persistence_intervals.cpp @@ -24,7 +24,7 @@ #include #include -#include "gudhi/concretizations/persistence_intervals.h" +#include "gudhi/concretizations/Persistence_intervals.h" #include diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes.h index 15e5e361..cd399a41 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes.h @@ -46,9 +46,9 @@ using namespace std; -namespace Gudhi +namespace Gudhi { -namespace Gudhi_stat +namespace Gudhi_stat { @@ -59,7 +59,7 @@ double epsi = 0.000005; /** - * A procedure used to compare doubles. Typically gien two doubles A and B, comparing A == B is not good idea. In this case, we use the procedure almostEqual with the epsi defined at + * A procedure used to compare doubles. Typically gien two doubles A and B, comparing A == B is not good idea. In this case, we use the procedure almostEqual with the epsi defined at * the top of the file. Setting up the epsi give the user a tolerance on what should be consider equal. **/ inline bool almost_equal( double a , double b ) @@ -71,7 +71,7 @@ inline bool almost_equal( double a , double b ) /** - * Extra functions needed in construction of barcodes. + * Extra functions needed in construction of barcodes. **/ double minus_length( std::pair a ) { @@ -85,8 +85,8 @@ double birth_plus_deaths( std::pair a ) /** - * Given two points in R^2, the procedure compute the parameters A and B of the line y = Ax + B that crosses those two points. -**/ + * Given two points in R^2, the procedure compute the parameters A and B of the line y = Ax + B that crosses those two points. +**/ std::pair compute_parameters_of_a_line( std::pair p1 , std::pair p2 ) { double a = (p2.second-p1.second)/( p2.first - p1.first ); @@ -95,8 +95,8 @@ std::pair compute_parameters_of_a_line( std::pair } /** - * This procedure given two points which lies on the opposide sides of x axis, compute x for which the line connecting those two points crosses x axis. -**/ + * This procedure given two points which lies on the opposide sides of x axis, compute x for which the line connecting those two points crosses x axis. +**/ double find_zero_of_a_line_segment_between_those_two_points ( std::pair p1, std::pair p2 ) { if ( p1.first == p2.first )return p1.first; @@ -120,8 +120,8 @@ double find_zero_of_a_line_segment_between_those_two_points ( std::pair f, std::pair s ) { if ( f.first < s.first ) @@ -163,114 +163,114 @@ double function_value ( std::pair p1, std::pair p2 /** - *Function internally used for operations on persistence landascapes. -**/ + *Function internally used for operations on persistence landascapes. +**/ inline double add(double x, double y){return x+y;} inline double sub(double x, double y){return x-y;} /** * A clas implementing persistence landascpes data structures. For theroretical desciritpion, please consult a paper ''Statistical topological data analysis using persistence landscapes'' by Peter Bubenik. - * For details of algorithms, please consult ''A persistence landscapes toolbox for topological statistics'' by Peter Bubenik and Pawel Dlotko. + * For details of algorithms, please consult ''A persistence landscapes toolbox for topological statistics'' by Peter Bubenik and Pawel Dlotko. * Persistence landscapes allow vertorization, computations of distances, computations of projections to Real, computations of averages and scalar products. Therefore they implement suitable interfaces. -**/ -class Persistence_landscape : - public Abs_Vectorized_topological_data , - public Abs_Topological_data_with_distances, - public Abs_Real_valued_topological_data, - public Abs_Topological_data_with_averages, +**/ +class Persistence_landscape : + public Abs_Vectorized_topological_data , + public Abs_Topological_data_with_distances, + public Abs_Real_valued_topological_data, + public Abs_Topological_data_with_averages, public Abs_Topological_data_with_scalar_product { public: /** * Default constructor. - **/ + **/ Persistence_landscape() { this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); } - + /** * Constructor that takes as an input a vector of birth-death pairs. - **/ + **/ Persistence_landscape( const std::vector< std::pair< double , double > >& p ); - + /** * Assignement operator. - **/ + **/ Persistence_landscape operator=( const Persistence_landscape& org ); - + /** * Copy constructor. - **/ + **/ Persistence_landscape(const Persistence_landscape&); - + /** - * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed - * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. - **/ + * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed + * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. + **/ Persistence_landscape(const char* filename); - - - + + + /** - * This procedure loads a landscape from file. It erase all the data that was previously stored in this landscape. - **/ + * This procedure loads a landscape from file. It erase all the data that was previously stored in this landscape. + **/ void load_landscape_from_file( const char* filename ); - - + + /** * The procedure stores a landscape to a file. The file can be later used by a procedure load_landscape_from_file. - **/ + **/ void print_to_file( const char* filename )const; - + /** * This function compute integral of the landscape (defined formally as sum of integrals on R of all landscape functions) - **/ + **/ double compute_integral_of_landscape()const; - - + + /** * This function compute integral of the 'level'-level of a landscape. - **/ + **/ double compute_integral_of_landscape( size_t level )const; - - + + /** * This function compute integral of the landscape p-th power of a landscape (defined formally as sum of integrals on R of p-th powers of all landscape functions) - **/ + **/ double compute_integral_of_landscape( double p )const;//this function compute integral of p-th power of landscape. - - + + /** - * A function that computes the value of a landscape at a given point. The parameters of the function are: unsigned level and double x. + * A function that computes the value of a landscape at a given point. The parameters of the function are: unsigned level and double x. * The procedure will compute the value of the level-landscape at the point x. **/ double compute_value_at_a_given_point( unsigned level , double x )const; - + /** - * Writing landscape into a stream. A i-th level landscape starts with a string "lambda_i". Then the discontinuity points of the landscapes follows. + * Writing landscape into a stream. A i-th level landscape starts with a string "lambda_i". Then the discontinuity points of the landscapes follows. * Shall those points be joined with lines, we will obtain the i-th landscape function. - **/ + **/ friend std::ostream& operator<<(std::ostream& out, Persistence_landscape& land ); - - + + /** * A function that compute sum of two landscapes. - **/ + **/ friend Persistence_landscape add_two_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 ) { return operation_on_pair_of_landscapes(land1,land2,add); } - + /** * A function that compute difference of two landscapes. - **/ + **/ friend Persistence_landscape subtract_two_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 ) { return operation_on_pair_of_landscapes(land1,land2,sub); @@ -278,7 +278,7 @@ public: /** * An operator +, that compute sum of two landscapes. - **/ + **/ friend Persistence_landscape operator+( const Persistence_landscape& first , const Persistence_landscape& second ) { return add_two_landscapes( first,second ); @@ -286,7 +286,7 @@ public: /** * An operator -, that compute difference of two landscapes. - **/ + **/ friend Persistence_landscape operator-( const Persistence_landscape& first , const Persistence_landscape& second ) { return subtract_two_landscapes( first,second ); @@ -294,7 +294,7 @@ public: /** * An operator * that allows multipilication of a landscape by a real number. - **/ + **/ friend Persistence_landscape operator*( const Persistence_landscape& first , double con ) { return first.multiply_lanscape_by_real_number_not_overwrite(con); @@ -302,7 +302,7 @@ public: /** * An operator * that allows multipilication of a landscape by a real number (order of parameters swapped). - **/ + **/ friend Persistence_landscape operator*( double con , const Persistence_landscape& first ) { return first.multiply_lanscape_by_real_number_not_overwrite(con); @@ -310,7 +310,7 @@ public: /** * Operator +=. The second parameter is persistnece landwscape. - **/ + **/ Persistence_landscape operator += ( const Persistence_landscape& rhs ) { *this = *this + rhs; @@ -319,7 +319,7 @@ public: /** * Operator -=. The second parameter is persistnece landwscape. - **/ + **/ Persistence_landscape operator -= ( const Persistence_landscape& rhs ) { *this = *this - rhs; @@ -329,7 +329,7 @@ public: /** * Operator *=. The second parameter is a real number. - **/ + **/ Persistence_landscape operator *= ( double x ) { *this = *this*x; @@ -338,7 +338,7 @@ public: /** * Operator /=. The second parameter is a real number. - **/ + **/ Persistence_landscape operator /= ( double x ) { if ( x == 0 )throw( "In operator /=, division by 0. Program terminated." ); @@ -347,14 +347,14 @@ public: } /** - * An operator to compare two persistence landscapes. - **/ + * An operator to compare two persistence landscapes. + **/ bool operator == ( const Persistence_landscape& rhs )const; - - + + /** - * An operator to compare two persistence landscapes. - **/ + * An operator to compare two persistence landscapes. + **/ bool operator != ( const Persistence_landscape& rhs )const { return !((*this) == rhs); @@ -363,7 +363,7 @@ public: /** * Computations of maximum (y) value of landscape. - **/ + **/ double compute_maximum()const { double maxValue = 0; @@ -380,7 +380,7 @@ public: /** * Computations of a L^i norm of landscape, where i is the input parameter. - **/ + **/ double compute_norm_of_landscape( int i ) { Persistence_landscape l; @@ -394,59 +394,59 @@ public: } } - /** + /** * An operator to compute the value of a landscape in the level 'level' at the argument 'x'. - **/ + **/ double operator()(unsigned level,double x)const{return this->compute_value_at_a_given_point(level,x);} /** * Computations of L^{\infty} distance between two landscapes. - **/ + **/ friend double compute_max_norm_discance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second ); //friend double compute_max_norm_discance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second , unsigned& nrOfLand , double&x , double& y1, double& y2 ); /** * Computations of L^{p} distance between two landscapes. p is the parameter of the procedure. - **/ + **/ friend double compute_discance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second , int p ); - - + + /** * Function to compute absolute value of a PL function. The representation of persistence landscapes allow to store general PL-function. When computing distance betwen two landscapes, we compute difference between * them. In this case, a general PL-function with negative value can appear as a result. Then in order to compute distance, we need to take its absolute value. This is the purpose of this procedure. - **/ + **/ Persistence_landscape abs(); /** * Computes the number of landscape functions. - **/ + **/ size_t size()const{return this->land.size(); } /** - * Computate maximal value of lambda-level landscape. - **/ + * Computate maximal value of lambda-level landscape. + **/ double find_max( unsigned lambda )const; - + /** * Function to compute inner (scalar) product of two landscapes. **/ friend double compute_inner_product( const Persistence_landscape& l1 , const Persistence_landscape& l2 ); - - + + //concretization of abstract functions: - + /** - * The number of projections to R is defined to the number of nonzero landscape functions. I-th projection is an integral of i-th landscape function over whole R. - **/ + * The number of projections to R is defined to the number of nonzero landscape functions. I-th projection is an integral of i-th landscape function over whole R. + **/ double project_to_R( int number_of_function ) { return this->compute_integral_of_landscape( (size_t)number_of_function ); } - + std::vector vectorize( int number_of_function ) { //TODO, think of something smarter over here @@ -454,7 +454,7 @@ public: if ( (size_t)number_of_function > this->land.size() ) { return v; - } + } v.reserve( this->land[number_of_function].size() ); for ( size_t i = 0 ; i != this->land[number_of_function].size() ; ++i ) { @@ -464,16 +464,16 @@ public: } void compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ) { - bool dbg = false; - + bool dbg = false; + std::vector< Persistence_landscape* > nextLevelMerge( to_average.size() ); for ( size_t i = 0 ; i != to_average.size() ; ++i ) { nextLevelMerge[i] = (Persistence_landscape*)to_average[i]; } bool is_this_first_level = true;//in the loop, we will create dynamically a unmber of intermediate complexes. We have to clean that up, but we cannot erase the initial andscapes we have - //to average. In this case, we simply check if the nextLevelMerge are the input landscapes or the ones created in that loop by usig this extra variable. - + //to average. In this case, we simply check if the nextLevelMerge are the input landscapes or the ones created in that loop by usig this extra variable. + while ( nextLevelMerge.size() != 1 ) { if ( dbg ){cerr << "nextLevelMerge.size() : " << nextLevelMerge.size() << endl;} @@ -490,27 +490,27 @@ public: else { (*l) = *nextLevelMerge[i]; - } + } nextNextLevelMerge.push_back( l ); } if ( dbg ){cerr << "After this iteration \n";} - + if ( !is_this_first_level ) { //deallocate the memory if the vector nextLevelMerge do not consist of the initial landscapes for ( size_t i = 0 ; i != nextLevelMerge.size() ; ++i ) { delete nextLevelMerge[i]; - } + } } - is_this_first_level = false; - nextLevelMerge.swap(nextNextLevelMerge); + is_this_first_level = false; + nextLevelMerge.swap(nextNextLevelMerge); } (*this) = (*nextLevelMerge[0]); (*this) *= 1/( (double)to_average.size() ); } - - + + double distance( const Abs_Topological_data_with_distances* second , double power = 1 ) { if ( power != -1 ) @@ -522,31 +522,31 @@ public: return compute_max_norm_discance_of_landscapes( *this , *((Persistence_landscape*)second) ); } } - - + + double compute_scalar_product( const Abs_Topological_data_with_scalar_product* second ) { return compute_inner_product( (*this) , *((Persistence_landscape*)second) ); } - - + + std::vector< std::vector< std::pair > > output_for_visualization() { return this->land; } - - + + private: - std::vector< std::vector< std::pair > > land; - + std::vector< std::vector< std::pair > > land; + void construct_persistence_landscape_from_barcode( const std::vector< std::pair< double , double > > & p ); Persistence_landscape multiply_lanscape_by_real_number_not_overwrite( double x )const; void multiply_lanscape_by_real_number_overwrite( double x ); friend Persistence_landscape operation_on_pair_of_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 , double (*oper)(double,double) ); friend double compute_maximal_distance_non_symmetric( const Persistence_landscape& pl1, const Persistence_landscape& pl2 ); - + void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() - { + { //warning, this function can be only called after filling in the intervals vector. this->number_of_functions_for_vectorization = this->land.size(); this->number_of_functions_for_projections_to_reals = this->land.size(); @@ -556,14 +556,14 @@ private: Persistence_landscape::Persistence_landscape(const Persistence_landscape& oryginal) { - //std::cerr << "Running copy constructor \n"; + //std::cerr << "Running copy constructor \n"; std::vector< std::vector< std::pair > > land( oryginal.land.size() ); for ( size_t i = 0 ; i != oryginal.land.size() ; ++i ) { land[i].insert( land[i].end() , oryginal.land[i].begin() , oryginal.land[i].end() ); - } - this->land = land; - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); + } + this->land = land; + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); } @@ -571,7 +571,7 @@ Persistence_landscape::Persistence_landscape(const Persistence_landscape& orygin Persistence_landscape::Persistence_landscape(const char* filename) -{ +{ bool dbg = false; if ( dbg ) @@ -582,7 +582,7 @@ Persistence_landscape::Persistence_landscape(const char* filename) //this constructor reads persistence landscape form a file. This file have to be created by this software beforehead std::ifstream in; in.open( filename ); - + std::string line; std::vector< std::pair > barcode; @@ -607,10 +607,10 @@ Persistence_landscape::Persistence_landscape(const char* filename) { std::cerr << beginn << " , " << endd << std::endl; } - } + } } in.close(); - + this->construct_persistence_landscape_from_barcode( barcode ); this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); } @@ -635,7 +635,7 @@ bool Persistence_landscape::operator == ( const Persistence_landscape& rhs )con } for ( size_t i = 0 ; i != this->land[level].size() ; ++i ) { - if ( !( almost_equal(this->land[level][i].first , rhs.land[level][i].first) && almost_equal(this->land[level][i].second , rhs.land[level][i].second) ) ) + if ( !( almost_equal(this->land[level][i].first , rhs.land[level][i].first) && almost_equal(this->land[level][i].second , rhs.land[level][i].second) ) ) { //cerr<< this->land[level][i].first << " , " << rhs.land[level][i].first << " and " << this->land[level][i].second << " , " << rhs.land[level][i].second << endl; if (operatorEqualDbg)std::cerr << "this->land[level][i] : " << this->land[level][i].first << " " << this->land[level][i].second << "\n"; @@ -650,13 +650,13 @@ bool Persistence_landscape::operator == ( const Persistence_landscape& rhs )con Persistence_landscape Persistence_landscape::operator=( const Persistence_landscape& oryginal ) -{ +{ std::vector< std::vector< std::pair > > land( oryginal.land.size() ); for ( size_t i = 0 ; i != oryginal.land.size() ; ++i ) { land[i].insert( land[i].end() , oryginal.land[i].begin() , oryginal.land[i].end() ); - } - this->land = land; + } + this->land = land; return *this; } @@ -673,8 +673,8 @@ void Persistence_landscape::construct_persistence_landscape_from_barcode( const { bool dbg = false; if ( dbg ){cerr << "Persistence_landscape::Persistence_landscape( const std::vector< std::pair< double , double > >& p )" << endl;} - - //this is a general algorithm to construct persistence landscapes. + + //this is a general algorithm to construct persistence landscapes. std::vector< std::pair > bars; bars.insert( bars.begin() , p.begin() , p.end() ); std::sort( bars.begin() , bars.end() , compare_points_sorting ); @@ -734,7 +734,7 @@ void Persistence_landscape::construct_persistence_landscape_from_barcode( const if ( dbg ) - { + { std::cerr << "characteristicPoints[i+p] : " << characteristicPoints[i+p].first << " " << characteristicPoints[i+p].second << "\n"; std::cerr << "point : " << point.first << " " << point.second << "\n"; getchar(); @@ -765,7 +765,7 @@ void Persistence_landscape::construct_persistence_landscape_from_barcode( const if (dbg) { std::cerr << "characteristicPoints[i+p] : " << characteristicPoints[i+p].first << " " << characteristicPoints[i+p].second << "\n"; - std::cerr << "point : " << point.first << " " << point.second << "\n"; + std::cerr << "point : " << point.first << " " << point.second << "\n"; std::cerr << "characteristicPoints[i+p] birth and death : " << minus_length(characteristicPoints[i+p]) << " , " << birth_plus_deaths(characteristicPoints[i+p]) << "\n"; std::cerr << "point birth and death : " << minus_length(point) << " , " << birth_plus_deaths(point) << "\n"; @@ -804,8 +804,8 @@ void Persistence_landscape::construct_persistence_landscape_from_barcode( const } lambda_n.push_back( std::make_pair(birth_plus_deaths(lambda_n[lambda_n.size()-1]),0) ); lambda_n.push_back( std::make_pair( std::numeric_limits::max() , 0 ) ); - - characteristicPoints = newCharacteristicPoints; + + characteristicPoints = newCharacteristicPoints; lambda_n.erase(std::unique(lambda_n.begin(), lambda_n.end()), lambda_n.end()); this->land.push_back( lambda_n ); @@ -851,13 +851,13 @@ double Persistence_landscape::compute_integral_of_landscape( size_t level )cons } //also negative landscapes are assumed to be zero. if ( level < 0 )return 0; - + for ( size_t nr = 2 ; nr != this->land[ level ].size()-1 ; ++nr ) { //it suffices to compute every planar integral and then sum them ap for each lambda_n result += 0.5*( this->land[ level ][nr].first - this->land[ level ][nr-1].first )*(this->land[ level ][nr].second + this->land[ level ][nr-1].second); } - + return result; } @@ -1061,7 +1061,7 @@ Persistence_landscape Persistence_landscape::multiply_lanscape_by_real_number_no } result[dim] = lambda_dim; } - Persistence_landscape res; + Persistence_landscape res; //CHANGE //res.land = result; res.land.swap(result); @@ -1070,9 +1070,9 @@ Persistence_landscape Persistence_landscape::multiply_lanscape_by_real_number_no void Persistence_landscape::print_to_file( const char* filename )const -{ +{ std::ofstream write; - write.open(filename); + write.open(filename); for ( size_t dim = 0 ; dim != this->land.size() ; ++dim ) { write << "#lambda_" << dim << std::endl; @@ -1089,8 +1089,8 @@ void Persistence_landscape::load_landscape_from_file( const char* filename ) bool dbg = false; //removing the current content of the persistence landscape. this->land.clear(); - - + + //this constructor reads persistence landscape form a file. This file have to be created by this software beforehead std::ifstream in; in.open( filename ); @@ -1100,7 +1100,7 @@ void Persistence_landscape::load_landscape_from_file( const char* filename ) throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; } - std::string line; + std::string line; std::vector< std::pair > landscapeAtThisLevel; bool isThisAFirsLine = true; @@ -1108,12 +1108,12 @@ void Persistence_landscape::load_landscape_from_file( const char* filename ) { getline(in,line); if ( !(line.length() == 0 || line[0] == '#') ) - { + { std::stringstream lineSS; lineSS << line; double beginn, endd; lineSS >> beginn; - lineSS >> endd; + lineSS >> endd; landscapeAtThisLevel.push_back( std::make_pair( beginn , endd ) ); if (dbg){std::cerr << "Reading a pont : " << beginn << " , " << endd << std::endl;} } diff --git a/src/Gudhi_stat/test/persistence_intervals_test.cpp b/src/Gudhi_stat/test/persistence_intervals_test.cpp index 2a2b0fa8..70e20ed0 100644 --- a/src/Gudhi_stat/test/persistence_intervals_test.cpp +++ b/src/Gudhi_stat/test/persistence_intervals_test.cpp @@ -27,7 +27,7 @@ #include #include #include -#include "gudhi/concretizations/persistence_intervals.h" +#include "gudhi/concretizations/Persistence_intervals.h" #include -- cgit v1.2.3 From c5bc4b47a409d98bd517156dc8d25f318d944c2c Mon Sep 17 00:00:00 2001 From: pdlotko Date: Thu, 30 Jun 2016 19:59:01 +0000 Subject: Adding Marc's comments. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1372 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 69203954cddee77e64669e381f349bdc28163e20 --- src/Gudhi_stat/example/persistence_landscape.cpp | 6 ++-- .../gudhi/concretizations/Persistence_landscapes.h | 37 ++++++++++++---------- src/Gudhi_stat/test/persistence_lanscapes_test.cpp | 27 ++++++---------- 3 files changed, 32 insertions(+), 38 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/persistence_landscape.cpp b/src/Gudhi_stat/example/persistence_landscape.cpp index d080cd09..7bd04b4d 100644 --- a/src/Gudhi_stat/example/persistence_landscape.cpp +++ b/src/Gudhi_stat/example/persistence_landscape.cpp @@ -40,10 +40,8 @@ int main( int argc , char** argv ) { std::cerr << "To run this program, please provide a name of a file with persistence landscape \n"; //return 1; - } - //char* filename = argv[1]; - char* filename = (char*)"../test/data/file_with_diagram"; - Persistence_landscape p(filename); + } + Persistence_landscape p("../test/data/file_with_diagram"); Persistence_landscape q; q.load_landscape_from_file( "file_with_landscape_from_file_with_diagram" ); diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes.h index cd399a41..f728bfbe 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes.h @@ -120,7 +120,7 @@ double find_zero_of_a_line_segment_between_those_two_points ( std::pair f, std::pair s ) { @@ -162,11 +162,7 @@ double function_value ( std::pair p1, std::pair p2 } -/** - *Function internally used for operations on persistence landascapes. -**/ -inline double add(double x, double y){return x+y;} -inline double sub(double x, double y){return x-y;} + /** @@ -198,7 +194,7 @@ public: /** * Assignement operator. **/ - Persistence_landscape operator=( const Persistence_landscape& org ); + Persistence_landscape& operator=( const Persistence_landscape& org ); /** * Copy constructor. @@ -265,7 +261,7 @@ public: **/ friend Persistence_landscape add_two_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 ) { - return operation_on_pair_of_landscapes(land1,land2,add); + return operation_on_pair_of_landscapes< std::plus >(land1,land2); } /** @@ -273,7 +269,7 @@ public: **/ friend Persistence_landscape subtract_two_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 ) { - return operation_on_pair_of_landscapes(land1,land2,sub); + return operation_on_pair_of_landscapes< std::minus >(land1,land2); } /** @@ -328,7 +324,7 @@ public: /** - * Operator *=. The second parameter is a real number. + * Operator *=. The second parameter is a real number by which the y values of all landscape functions are multiplied. The x-values remain unchanged. **/ Persistence_landscape operator *= ( double x ) { @@ -381,7 +377,7 @@ public: /** * Computations of a L^i norm of landscape, where i is the input parameter. **/ - double compute_norm_of_landscape( int i ) + double compute_norm_of_landscape( double i ) { Persistence_landscape l; if ( i != -1 ) @@ -542,7 +538,7 @@ private: void construct_persistence_landscape_from_barcode( const std::vector< std::pair< double , double > > & p ); Persistence_landscape multiply_lanscape_by_real_number_not_overwrite( double x )const; void multiply_lanscape_by_real_number_overwrite( double x ); - friend Persistence_landscape operation_on_pair_of_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 , double (*oper)(double,double) ); + template < typename oper > friend Persistence_landscape operation_on_pair_of_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 ); friend double compute_maximal_distance_non_symmetric( const Persistence_landscape& pl1, const Persistence_landscape& pl2 ); void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() @@ -649,7 +645,7 @@ bool Persistence_landscape::operator == ( const Persistence_landscape& rhs )con } -Persistence_landscape Persistence_landscape::operator=( const Persistence_landscape& oryginal ) +Persistence_landscape& Persistence_landscape::operator=( const Persistence_landscape& oryginal ) { std::vector< std::vector< std::pair > > land( oryginal.land.size() ); for ( size_t i = 0 ; i != oryginal.land.size() ; ++i ) @@ -1146,13 +1142,15 @@ void Persistence_landscape::load_landscape_from_file( const char* filename ) } -bool operation_on_pair_of_landscapesDBG = false; -Persistence_landscape operation_on_pair_of_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 , double (*oper)(double,double) ) +template < typename T > +Persistence_landscape operation_on_pair_of_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 ) { + bool operation_on_pair_of_landscapesDBG = false; if ( operation_on_pair_of_landscapesDBG ){std::cout << "operation_on_pair_of_landscapes\n";std::cin.ignore();} Persistence_landscape result; std::vector< std::vector< std::pair > > land( std::max( land1.land.size() , land2.land.size() ) ); result.land = land; + T oper; for ( size_t i = 0 ; i != std::min( land1.land.size() , land2.land.size() ) ; ++i ) { @@ -1175,9 +1173,14 @@ Persistence_landscape operation_on_pair_of_landscapes ( const Persistence_landsc { std::cout << "first \n"; std::cout << " function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) : "<< function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) << "\n"; - std::cout << "oper( " << land1.land[i][p].second <<"," << function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) << " : " << oper( land1.land[i][p].second , function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) ) << "\n"; + //std::cout << "oper( " << land1.land[i][p].second <<"," << function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) << " : " << oper( land1.land[i][p].second , function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) ) << "\n"; } - lambda_n.push_back( std::make_pair( land1.land[i][p].first , oper( land1.land[i][p].second , function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) ) ) ); + lambda_n.push_back( + std::make_pair( + land1.land[i][p].first , + oper( (double)land1.land[i][p].second , function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) ) + ) + ); ++p; continue; } diff --git a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp index 71363832..2e4369ab 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp @@ -44,9 +44,8 @@ using namespace std; BOOST_AUTO_TEST_CASE(check_construction_of_landscape) -{ - char* filename = (char*)"data/file_with_diagram"; - Persistence_landscape p(filename); +{ + Persistence_landscape p( "data/file_with_diagram" ); Persistence_landscape q; q.load_landscape_from_file( "data/file_with_landscape_from_file_with_diagram" ); @@ -57,8 +56,7 @@ BOOST_AUTO_TEST_CASE(check_construction_of_landscape) BOOST_AUTO_TEST_CASE(check_computations_of_integrals) { - char* filename = (char*)"data/file_with_diagram"; - Persistence_landscape p(filename); + Persistence_landscape p( "data/file_with_diagram" ); double integral = p.compute_integral_of_landscape(); //cerr << integral << " " << 2.34992 << endl; BOOST_CHECK( fabs( integral - 2.34992 ) <= 0.00001 ); @@ -67,8 +65,7 @@ BOOST_AUTO_TEST_CASE(check_computations_of_integrals) BOOST_AUTO_TEST_CASE(check_computations_of_integrals_for_each_level_separatelly) { - char* filename = (char*)"data/file_with_diagram"; - Persistence_landscape p(filename); + Persistence_landscape p( "data/file_with_diagram" ); std::vector< double > integrals_fir_different_levels; integrals_fir_different_levels.push_back( 0.216432 ); @@ -111,8 +108,7 @@ BOOST_AUTO_TEST_CASE(check_computations_of_integrals_for_each_level_separatelly) BOOST_AUTO_TEST_CASE(check_computations_of_integrals_of_powers_of_landscape) { - char* filename = (char*)"data/file_with_diagram"; - Persistence_landscape p(filename); + Persistence_landscape p( "data/file_with_diagram" ); std::vector integrals_fir_different_powers; integrals_fir_different_powers.push_back( 0.216432 ); @@ -130,8 +126,7 @@ BOOST_AUTO_TEST_CASE(check_computations_of_integrals_of_powers_of_landscape) BOOST_AUTO_TEST_CASE(check_computations_of_values_on_different_points) { - char* filename = (char*)"data/file_with_diagram"; - Persistence_landscape p(filename); + Persistence_landscape p( "data/file_with_diagram" ); BOOST_CHECK( fabs( p.compute_value_at_a_given_point(1,0.0) ) <= 0.00001 ); @@ -150,9 +145,8 @@ BOOST_AUTO_TEST_CASE(check_computations_of_values_on_different_points) BOOST_AUTO_TEST_CASE(check_computations_sum_differences_and_multiplications) -{ - char* filename = (char*)"data/file_with_diagram"; - Persistence_landscape p(filename); +{ + Persistence_landscape p( "data/file_with_diagram" ); Persistence_landscape second; second.load_landscape_from_file("data/file_with_landscape_from_file_with_diagram_1" ); @@ -178,9 +172,8 @@ BOOST_AUTO_TEST_CASE(check_computations_sum_differences_and_multiplications) BOOST_AUTO_TEST_CASE(check_computations_of_maxima_and_norms) -{ - char* filename = (char*)"data/file_with_diagram"; - Persistence_landscape p(filename); +{ + Persistence_landscape p( "data/file_with_diagram" ); Persistence_landscape second; second.load_landscape_from_file("data/file_with_landscape_from_file_with_diagram_1" ); Persistence_landscape sum = p + second; -- cgit v1.2.3 From c7697cbc6bb80b18d3319c0310d3cf4afe58e8ef Mon Sep 17 00:00:00 2001 From: pdlotko Date: Tue, 26 Jul 2016 07:13:08 +0000 Subject: aaa git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1395 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 0adfec650245761402f8a062f0682c4f7afd6513 --- src/CMakeLists.txt | 3 +- src/Gudhi_stat/example/CMakeLists.txt | 11 + src/Gudhi_stat/example/persistence_intervals.cpp | 2 +- .../gudhi/concretizations/Persistence_intervals.h | 1234 ++++++++++---------- .../gudhi/concretizations/Persistence_landscapes.h | 95 +- .../concretizations/Vector_distances_in_diagram.h | 25 +- 6 files changed, 713 insertions(+), 657 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/CMakeLists.txt b/src/CMakeLists.txt index e1db3a3b..fcf38a51 100644 --- a/src/CMakeLists.txt +++ b/src/CMakeLists.txt @@ -92,7 +92,8 @@ else() add_subdirectory(example/Bitmap_cubical_complex) add_subdirectory(example/Witness_complex) add_subdirectory(example/Alpha_complex) - add_subdirectory(example/Gudhi_stat) + add_subdirectory(example/Bottleneck) + # data points generator add_subdirectory(data/points/generator) diff --git a/src/Gudhi_stat/example/CMakeLists.txt b/src/Gudhi_stat/example/CMakeLists.txt index ec2afc09..aadfc83b 100644 --- a/src/Gudhi_stat/example/CMakeLists.txt +++ b/src/Gudhi_stat/example/CMakeLists.txt @@ -4,10 +4,21 @@ project(GUDHI_STAT) add_executable ( persistence_landscape persistence_landscape.cpp ) target_link_libraries(persistence_landscape ${Boost_SYSTEM_LIBRARY}) +add_executable ( average_landscapes average_landscapes.cpp ) +target_link_libraries(average_landscapes ${Boost_SYSTEM_LIBRARY}) + +add_executable ( create_landscapes create_landscapes.cpp ) +target_link_libraries(create_landscapes ${Boost_SYSTEM_LIBRARY}) + +add_executable ( plot_landscapes plot_landscapes.cpp ) +target_link_libraries(plot_landscapes ${Boost_SYSTEM_LIBRARY}) + add_executable ( persistence_intervals persistence_intervals.cpp ) target_link_libraries(persistence_intervals ${Boost_SYSTEM_LIBRARY}) +add_executable ( plot_persistence_intervals plot_persistence_intervals.cpp ) +target_link_libraries( plot_persistence_intervals ${Boost_SYSTEM_LIBRARY}) add_executable ( vector_representation vector_representation.cpp ) target_link_libraries(vector_representation ${Boost_SYSTEM_LIBRARY}) diff --git a/src/Gudhi_stat/example/persistence_intervals.cpp b/src/Gudhi_stat/example/persistence_intervals.cpp index 0f374b07..cf8c37c6 100644 --- a/src/Gudhi_stat/example/persistence_intervals.cpp +++ b/src/Gudhi_stat/example/persistence_intervals.cpp @@ -24,7 +24,7 @@ #include #include -#include "gudhi/concretizations/Persistence_intervals.h" +#include #include diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h index a2d16aa0..ecb69a2f 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h @@ -1,599 +1,637 @@ -/* 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 Sophia-Saclay (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 . - */ - -#ifndef Persistence_intervals_H_ -#define Persistence_intervals_H_ - -#include -#include -#include -#include -#include -#include -#include -#include -#include -#include - -namespace Gudhi -{ -namespace Gudhi_stat -{ - -class Persistence_intervals : public Abs_Vectorized_topological_data , public Abs_Topological_data_with_distances, public Abs_Real_valued_topological_data -{ -public: - /** - * This is a constructor of a class Persistence_intervals from a text file. Each line of the input file is supposed to contain two numbers of a type doube (or convertable to double) - * representing the birth and the death of the persistence interval. If the pairs are not sorted so that birth <= death, then the constructor will sort then that way. - **/ - Persistence_intervals( const char* filename ); - - /** - * This is a constructor of a class Persistence_intervals from a vector of pairs. Each pair is assumed to represent a persistence interval. We assume that the first elemnets of pairs - * are smaller or equal the second elements of pairs. - **/ - Persistence_intervals( const std::vector< std::pair< double,double > >& intervals ); - - /** - * The procedure returns a pair the first element of which is the leftmost end of the interval, and the second element of which is the rightmost end of the interval. - **/ - std::pair min_max(); - - /** - * Procedure that compute the vector of lengths of the dominant (i.e. the longest) persistence intervals. The list is truncated at the parameter of the call where_to_cut (set by default to 100). - **/ - std::vector length_of_dominant_intervals( size_t where_to_cut = 100 ); - - - /** - * Procedure that compute the vector of the dominant (i.e. the longest) persistence intervals. The parameter of the procedure (set by default to 100) is the number of dominant intervals returned by the procedure. - **/ - std::vector< std::pair > dominant_intervals( size_t where_to_cut = 100 ); - - /** - * Procedure to compute a histogram of interva's length. A histogram is a block plot. The number of blocks is determined by the first parameter of the function (set by default to 10). - * For the sake of argument let us assume that the length of the longest interval is 1 and the number of bins is 10. In this case the i-th block correspond to a range between i-1/10 and i10. - * The vale of a block supported at the interval is the number of persistence intervals of a length between x_0 and x_1. - **/ - std::vector< size_t > histograms_of_lengths( size_t number_of_bins = 10 ); - - /** - * Based on a histogram of intervals lengts computed by the function histograms_of_lengths H the procedure below computes the cumulative histogram. The i-th position of the resulting histogram - * is the sume of values of H for the positions from 0 to i. - **/ - std::vector< size_t > cumulative_histograms_of_lengths( size_t number_of_bins = 10 ); - - /** - * In this procedure we assume that each barcode is a characteristic function of a hight equal to its length. The persistence diagram is a sum of such a functions. The procedure below construct a function being a - * sum of the characteristic functions of persistence intervals. The first two parameters are the range in which the function is to be computed and the last parameter is the number of bins in - * the discretization of the interval [_min,_max]. - **/ - std::vector< double > characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins = 10 ); - - /** - * Cumulative version of the function characteristic_function_of_diagram - **/ - std::vector< double > cumulative_characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins = 10 ); - - /** - * Compute the funtion of persistence Betti numbers. The returned value is a vector of pair. First element of each pair is a place where persistence Betti numbers change. - * Second element of each pair is the value of Persistence Betti numbers at that point. - **/ - std::vector< std::pair< double , size_t > > compute_persistent_betti_numbers(); - - /** - *This is a non optimal procedure that compute vector of distances from each point of diagram to its k-th nearest neighbor (k is a parameted of the program). The resulting vector is by default truncated to 10 - *elements (this value can be changed by using the second parameter of the program). The points are returned in order from the ones which are farthest away from their k-th nearest neighbors. - **/ - std::vector< double > k_n_n( size_t k , size_t where_to_cut = 10 ); - - /** - * Operator that send the diagram to a stream. - **/ - - friend ostream& operator << ( ostream& out , const Persistence_intervals& intervals ) - { - for ( size_t i = 0 ; i != intervals.intervals.size() ; ++i ) - { - out << intervals.intervals[i].first << " " << intervals.intervals[i].second << endl; - } - return out; - } - - - /** - * Return a familly of vectors obtained from the persistence diagram. The i-th vector consist of the lenfth of i dominant persistence intervals. - **/ - std::vector vectorize( int number_of_function )//comment: in this case, number_of_functions (a static member of Abs_Vectorized_topological_data cannot be set a priori. - //In this cas, maybe it is better not to make this parameter static. - { - return this->length_of_dominant_intervals( number_of_function ); - } - - /** - * Retun numbr of points in the diagram. - **/ - size_t size()const{return this->intervals.size();} - - /** - * Return the persistence interval at the given position. Note that intervals are not sorted with respect to their lengths. - **/ - inline std::pair< double,double > operator [](size_t i) - { - if ( i >= this->intervals.size() )throw("Index out of range! Operator [], one_d_gaussians class\n"); - return this->intervals[i]; - } - - /** - *Computations of distance from the current persistnce diagram to the persistence diagram given as a parameter of this function. - *The last parameter, power, is here in case we would like to compute p=th Wasserstein distance. At the moment, for the bottleneck distances, it will be ignored. - **/ - double distance( const Abs_Topological_data_with_distances* second , double power = 1) - { - return 1; - //waiting for Francois Godi for the code. We will compute here the Bottleneck distnace. - } - - /** - * This is a simple function projectig the persistence intervals to a real number. The function we use here is a sum of squared lendgths of intervals. It can be naturally interpreted as - * sum of step function, where the step hight it equal to the length of the interval. - **/ - double project_to_R( int number_of_function ); - - - //For visualization use output from vectorize and build histograms. - std::vector< std::pair< double,double > > output_for_visualization() - { - return this->intervals; - } - -protected: - - void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() - { - //warning, this function can be only called after filling in the intervals vector. - this->number_of_functions_for_vectorization = this->intervals.size(); - this->number_of_functions_for_projections_to_reals = 1; - } - - std::vector< std::pair< double,double > > intervals; -}; - - -Persistence_intervals::Persistence_intervals( const char* filename ) -{ - bool dbg = false; - ifstream in; - in.open( filename ); - - if ( !in.good() ) - { - throw("File with the persistence diagram do not exist, the program will now terminate.\n"); - } - - while ( true ) - { - double first; - double second; - in >> first >> second; - - if ( first > second ) - { - double buf = first; - first = second; - second = buf; - } - - if ( in.eof() )break; - this->intervals.push_back( std::make_pair( first,second ) ); - if ( dbg ) - { - cerr << "Adding interval [ " << first << " , " << second << " ]\n"; - getchar(); - } - } - in.close(); - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); -}//Persistence_intervals - - -Persistence_intervals::Persistence_intervals( const std::vector< std::pair< double , double > >& intervals_ ) -{ - std::vector< std::pair< double,double > > aaa( intervals_ ); - this->intervals = aaa; - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); -} - - -std::vector< double > Persistence_intervals::length_of_dominant_intervals( size_t where_to_cut ) -{ - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); - std::vector< double > result( this->intervals.size() ); - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - result[i] = this->intervals[i].second - this->intervals[i].first; - } - std::sort( result.begin() , result.end() , std::greater() ); - - - result.resize( std::min(where_to_cut,result.size()) ); +/* 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 Sophia-Saclay (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 . + */ + +#ifndef Persistence_intervals_H_ +#define Persistence_intervals_H_ + +//gudhi include +#include +#include +#include +#include + +//standard include +#include +#include +#include +#include +#include +#include +#include + +namespace Gudhi +{ +namespace Gudhi_stat +{ + +class Persistence_intervals : public Abs_Vectorized_topological_data , public Abs_Topological_data_with_distances, public Abs_Real_valued_topological_data +{ +public: + /** + * This is a constructor of a class Persistence_intervals from a text file. Each line of the input file is supposed to contain two numbers of a type doube (or convertable to double) + * representing the birth and the death of the persistence interval. If the pairs are not sorted so that birth <= death, then the constructor will sort then that way. + **/ + Persistence_intervals( const char* filename ); + + /** + * This is a constructor of a class Persistence_intervals from a vector of pairs. Each pair is assumed to represent a persistence interval. We assume that the first elemnets of pairs + * are smaller or equal the second elements of pairs. + **/ + Persistence_intervals( const std::vector< std::pair< double,double > >& intervals ); + + /** + * The procedure returns a pair the first element of which is the leftmost end of the interval, and the second element of which is the rightmost end of the interval. + **/ + std::pair min_max(); + + /** + * Procedure that compute the vector of lengths of the dominant (i.e. the longest) persistence intervals. The list is truncated at the parameter of the call where_to_cut (set by default to 100). + **/ + std::vector length_of_dominant_intervals( size_t where_to_cut = 100 ); + + + /** + * Procedure that compute the vector of the dominant (i.e. the longest) persistence intervals. The parameter of the procedure (set by default to 100) is the number of dominant intervals returned by the procedure. + **/ + std::vector< std::pair > dominant_intervals( size_t where_to_cut = 100 ); + + /** + * Procedure to compute a histogram of interva's length. A histogram is a block plot. The number of blocks is determined by the first parameter of the function (set by default to 10). + * For the sake of argument let us assume that the length of the longest interval is 1 and the number of bins is 10. In this case the i-th block correspond to a range between i-1/10 and i10. + * The vale of a block supported at the interval is the number of persistence intervals of a length between x_0 and x_1. + **/ + std::vector< size_t > histograms_of_lengths( size_t number_of_bins = 10 ); + + /** + * Based on a histogram of intervals lengts computed by the function histograms_of_lengths H the procedure below computes the cumulative histogram. The i-th position of the resulting histogram + * is the sume of values of H for the positions from 0 to i. + **/ + std::vector< size_t > cumulative_histograms_of_lengths( size_t number_of_bins = 10 ); + + /** + * In this procedure we assume that each barcode is a characteristic function of a hight equal to its length. The persistence diagram is a sum of such a functions. The procedure below construct a function being a + * sum of the characteristic functions of persistence intervals. The first two parameters are the range in which the function is to be computed and the last parameter is the number of bins in + * the discretization of the interval [_min,_max]. + **/ + std::vector< double > characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins = 10 ); + + /** + * Cumulative version of the function characteristic_function_of_diagram + **/ + std::vector< double > cumulative_characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins = 10 ); + + /** + * Compute the funtion of persistence Betti numbers. The returned value is a vector of pair. First element of each pair is a place where persistence Betti numbers change. + * Second element of each pair is the value of Persistence Betti numbers at that point. + **/ + std::vector< std::pair< double , size_t > > compute_persistent_betti_numbers(); + + /** + *This is a non optimal procedure that compute vector of distances from each point of diagram to its k-th nearest neighbor (k is a parameted of the program). The resulting vector is by default truncated to 10 + *elements (this value can be changed by using the second parameter of the program). The points are returned in order from the ones which are farthest away from their k-th nearest neighbors. + **/ + std::vector< double > k_n_n( size_t k , size_t where_to_cut = 10 ); + + /** + * Operator that send the diagram to a stream. + **/ + friend ostream& operator << ( ostream& out , const Persistence_intervals& intervals ) + { + for ( size_t i = 0 ; i != intervals.intervals.size() ; ++i ) + { + out << intervals.intervals[i].first << " " << intervals.intervals[i].second << endl; + } + return out; + } + + /** + * Generating gnuplot script to plot the interval. + **/ + void plot( const char* filename ) + { + //this program create a gnuplot script file that allows to plot persistence diagram. + ofstream out; + + std::ostringstream nameSS; + nameSS << filename << "_GnuplotScript"; + std::string nameStr = nameSS.str(); + out.open( (char*)nameStr.c_str() ); + std::pair min_max_values = this->min_max(); + out << "set xrange [" << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " : " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " ]" << endl; + out << "set yrange [" << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " : " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " ]" << endl; + out << "plot '-' using 1:2 notitle \"" << filename << "\", \\" << endl; + out << " '-' using 1:2 notitle with lp" << endl; + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + out << this->intervals[i].first << " " << this->intervals[i].second << endl; + } + out << "EOF" << endl; + out << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " " << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << endl; + out << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << endl; + + out.close(); + + cout << "Gnuplot script to visualize persistence diagram written to the file: " << nameStr << ". Type load '" << nameStr << "' in gnuplot to visualize." << endl; + } + + /** + * Return a familly of vectors obtained from the persistence diagram. The i-th vector consist of the lenfth of i dominant persistence intervals. + **/ + std::vector vectorize( int number_of_function )//comment: in this case, number_of_functions (a static member of Abs_Vectorized_topological_data cannot be set a priori. + //In this cas, maybe it is better not to make this parameter static. + { + return this->length_of_dominant_intervals( number_of_function ); + } + + /** + * Retun numbr of points in the diagram. + **/ + size_t size()const{return this->intervals.size();} + + /** + * Return the persistence interval at the given position. Note that intervals are not sorted with respect to their lengths. + **/ + inline std::pair< double,double > operator [](size_t i) + { + if ( i >= this->intervals.size() )throw("Index out of range! Operator [], one_d_gaussians class\n"); + return this->intervals[i]; + } + + /** + *Computations of distance from the current persistnce diagram to the persistence diagram given as a parameter of this function. + *The last parameter, power, is here in case we would like to compute p=th Wasserstein distance. At the moment, for the bottleneck distances, it will be ignored. + **/ + double distance( const Abs_Topological_data_with_distances* second , double power = 1) + { + return 1; + //waiting for Francois Godi for the code. We will compute here the Bottleneck distnace. + } + + /** + * This is a simple function projectig the persistence intervals to a real number. The function we use here is a sum of squared lendgths of intervals. It can be naturally interpreted as + * sum of step function, where the step hight it equal to the length of the interval. + **/ + double project_to_R( int number_of_function ); + + + //For visualization use output from vectorize and build histograms. + std::vector< std::pair< double,double > > output_for_visualization() + { + return this->intervals; + } + +protected: + + void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() + { + //warning, this function can be only called after filling in the intervals vector. + this->number_of_functions_for_vectorization = this->intervals.size(); + this->number_of_functions_for_projections_to_reals = 1; + } + + std::vector< std::pair< double,double > > intervals; +}; + + +Persistence_intervals::Persistence_intervals( const char* filename ) +{ + //bool dbg = false; + //ifstream in; + //in.open( filename ); + + //if ( !in.good() ) + //{ + // throw("File with the persistence diagram do not exist, the program will now terminate.\n"); + //} + + //while ( true ) + //{ + // double first; + // double second; + // in >> first >> second; + + // if ( first > second ) + // { + // double buf = first; + // first = second; + // second = buf; + // } + + // if ( in.eof() )break; + // this->intervals.push_back( std::make_pair( first,second ) ); + // if ( dbg ) + // { + // cerr << "Adding interval [ " << first << " , " << second << " ]\n"; + // getchar(); + // } + //} + //in.close(); + //standard file with barcode + std::vector< std::pair< double , double > > barcode = read_standard_file( filename ); + //gudhi file with barcode + //std::vector< std::pair< double , double > > barcode = read_gudhi_file( filename , dimension ); + + this->intervals = barcode; + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); +}//Persistence_intervals + + +Persistence_intervals::Persistence_intervals( const std::vector< std::pair< double , double > >& intervals_ ) +{ + std::vector< std::pair< double,double > > aaa( intervals_ ); + this->intervals = aaa; + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); +} + + +std::vector< double > Persistence_intervals::length_of_dominant_intervals( size_t where_to_cut ) +{ + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); + std::vector< double > result( this->intervals.size() ); + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + result[i] = this->intervals[i].second - this->intervals[i].first; + } + std::sort( result.begin() , result.end() , std::greater() ); + + + result.resize( std::min(where_to_cut,result.size()) ); + return result; +}//length_of_dominant_intervals + + + +bool compare( const std::pair< size_t , double >& first , const std::pair< size_t , double >& second ) +{ + return first.second > second.second; +} + + +std::vector< std::pair > Persistence_intervals::dominant_intervals( size_t where_to_cut ) +{ + bool dbg = false; + std::vector< std::pair< size_t , double > > position_length_vector( this->intervals.size() ); + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + position_length_vector[i] = std::make_pair( i , this->intervals[i].second - this->intervals[i].first ); + } + + std::sort( position_length_vector.begin() , position_length_vector.end() , compare ); + + std::vector< std::pair > result; + result.reserve( std::min( where_to_cut , position_length_vector.size() ) ); + + for ( size_t i = 0 ; i != std::min( where_to_cut , position_length_vector.size() ) ; ++i ) + { + result.push_back( this->intervals[ position_length_vector[i].first ] ); + if ( dbg )cerr << "Position : " << position_length_vector[i].first << " length : " << position_length_vector[i].second << endl; + } + + return result; +}//dominant_intervals + + +std::vector< size_t > Persistence_intervals::histograms_of_lengths( size_t number_of_bins ) +{ + bool dbg = false; + + if ( dbg )cerr << "this->intervals.size() : " << this->intervals.size() << endl; + //first find the length of the longest interval: + double lengthOfLongest = 0; + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + if ( (this->intervals[i].second - this->intervals[i].first) > lengthOfLongest ) + { + lengthOfLongest = this->intervals[i].second - this->intervals[i].first; + } + } + + if ( dbg ){cerr << "lengthOfLongest : " << lengthOfLongest << endl;} + + //this is a container we will use to store the resulting histogram + std::vector< size_t > result( number_of_bins + 1 , 0 ); + + //for every persistence interval in our collection. + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + //compute its length relative to the length of the dominant interval: + double relative_length_of_this_interval = (this->intervals[i].second - this->intervals[i].first)/lengthOfLongest; + + //given the relative length (between 0 and 1) compute to which bin should it contribute. + size_t position = (size_t)(relative_length_of_this_interval*number_of_bins); + + + ++result[position]; + + if ( dbg ) + { + cerr << "i : " << i << endl; + cerr << "Interval : [" << this->intervals[i].first << " , " << this->intervals[i].second << " ] \n"; + cerr << "relative_length_of_this_interval : " << relative_length_of_this_interval << endl; + cerr << "position : " << position << endl; + getchar(); + } + } + + + if ( dbg ){for ( size_t i = 0 ; i != result.size() ; ++i )cerr << result[i] << endl;} + return result; +} + + +std::vector< size_t > Persistence_intervals::cumulative_histograms_of_lengths( size_t number_of_bins ) +{ + std::vector< size_t > histogram = this->histograms_of_lengths( number_of_bins ); + std::vector< size_t > result( histogram.size() ); + + size_t sum = 0; + for ( size_t i = 0 ; i != histogram.size() ; ++i ) + { + sum += histogram[i]; + result[i] = sum; + } + return result; +} + + +std::vector< double > Persistence_intervals::characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins ) +{ + bool dbg = false; + + std::vector< double > result( number_of_bins ); + std::fill( result.begin() , result.end() , 0 ); + + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + if ( dbg ) + { + cerr << "Interval : " << this->intervals[i].first << " , " << this->intervals[i].second << endl; + } + + size_t beginIt = 0; + if ( this->intervals[i].first < x_min )beginIt = 0; + if ( this->intervals[i].first >= x_max )beginIt = result.size(); + if ( ( this->intervals[i].first > x_min ) && ( this->intervals[i].first < x_max ) ) + { + beginIt = number_of_bins*(this->intervals[i].first-x_min)/(x_max - x_min); + } + + size_t endIt; + if ( this->intervals[i].second < x_min )endIt = 0; + if ( this->intervals[i].second >= x_max )endIt = result.size(); + if ( ( this->intervals[i].second > x_min ) && ( this->intervals[i].second < x_max ) ) + { + endIt = number_of_bins*( this->intervals[i].second - x_min )/(x_max - x_min); + } + + if ( beginIt > endIt ){beginIt = endIt;} + + if ( dbg ) + { + cerr << "beginIt : " << beginIt << endl; + cerr << "endIt : " << endIt << endl; + } + + + for ( size_t pos = beginIt ; pos != endIt ; ++pos ) + { + result[pos] += ( (x_max - x_min)/(double)number_of_bins ) * ( this->intervals[i].second - this->intervals[i].first ); + } + //cerr << "x_max : " << x_max << " x_min : " << x_min << " , number_of_bins : " << number_of_bins << " this->intervals[i].second : " << this->intervals[i].second << " this->intervals[i].first : " << this->intervals[i].first << endl; + if ( dbg ) + { + cerr << "Result at this stage \n"; + for ( size_t aa = 0 ; aa != result.size() ; ++aa ) + { + cerr << result[aa] << " "; + } + cerr << endl; + //getchar(); + } + } + return result; +}//characteristic_function_of_diagram + + + +std::vector< double > Persistence_intervals::cumulative_characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins ) +{ + std::vector< double > intsOfBars = this->characteristic_function_of_diagram( x_min , x_max , number_of_bins ); + std::vector< double > result( intsOfBars.size() ); + double sum = 0; + for ( size_t i = 0 ; i != intsOfBars.size() ; ++i ) + { + sum += intsOfBars[i]; + result[i] = sum; + } + return result; +}//cumulative_characteristic_function_of_diagram + + +template +bool compare_first_element_of_pair( const std::pair< T , bool >& f, const std::pair< T , bool >& s ) +{ + return (f.first < s.first); +} + + +std::vector< std::pair< double , size_t > > Persistence_intervals::compute_persistent_betti_numbers() +{ + std::vector< std::pair< double , bool > > places_where_pbs_change( 2*this->intervals.size() ); + + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + places_where_pbs_change[2*i] = std::make_pair( this->intervals[i].first , true ); + places_where_pbs_change[2*i+1] = std::make_pair( this->intervals[i].second , false ); + } + + std::sort( places_where_pbs_change.begin() , places_where_pbs_change.end() , compare_first_element_of_pair ); + size_t pbn = 0; + std::vector< std::pair< double , size_t > > pbns( places_where_pbs_change.size() ); + for ( size_t i = 0 ; i != places_where_pbs_change.size() ; ++i ) + { + if ( places_where_pbs_change[i].second == true ) + { + ++pbn; + } + else + { + --pbn; + } + pbns[i] = std::make_pair( places_where_pbs_change[i].first , pbn ); + } + return pbns; +} + + + + + + +inline double compute_euclidean_distance( const std::pair< double,double > & f , const std::pair< double,double > & s ) +{ + return sqrt( (f.first-s.first)*(f.first-s.first) + (f.second-s.second)*(f.second-s.second) ); +} + + +std::vector< double > Persistence_intervals::k_n_n( size_t k , size_t where_to_cut ) +{ + bool dbg = false; + if ( dbg ) + { + cerr << "Here are the intervals : \n"; + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + cerr << "[ " << this->intervals[i].first << " , " << this->intervals[i].second << "] \n"; + } + getchar(); + } + + std::vector< double > result; + //compute all to all distance between point in the diagram. Also, consider points in the diagonal with the infinite multiplicity. + std::vector< std::vector< double > > distances( this->intervals.size() ); + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + std::vector aa(this->intervals.size()); + std::fill( aa.begin() , aa.end() , 0 ); + distances[i] = aa; + } + std::vector< double > distances_from_diagonal( this->intervals.size() ); + std::fill( distances_from_diagonal.begin() , distances_from_diagonal.end() , 0 ); + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + std::vector< double > distancesFromI; + for ( size_t j = i+1 ; j != this->intervals.size() ; ++j ) + { + distancesFromI.push_back( compute_euclidean_distance( this->intervals[i] , this->intervals[j] ) ); + } + //distances.push_back( distancesFromI ); + //also add a distance from this guy to daigonal: + double distanceToDiagonal = compute_euclidean_distance( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first + this->intervals[i].second) , 0.5*(this->intervals[i].first + this->intervals[i].second) ) ); + distances_from_diagonal[i] = distanceToDiagonal; + + if ( dbg ) + { + cerr << "Here are the distances form the point : [" << this->intervals[i].first << " , " << this->intervals[i].second << "] in the diagram \n"; + for ( size_t aa = 0 ; aa != distancesFromI.size() ; ++aa ) + { + cerr << "To : " << i+aa << " : " << distancesFromI[aa] << " "; + } + cerr << endl; + getchar(); + } + + //filling in the distances matrix: + for ( size_t j = i+1 ; j != this->intervals.size() ; ++j ) + { + distances[i][j] = distancesFromI[j-i-1]; + distances[j][i] = distancesFromI[j-i-1]; + } + } + if ( dbg ) + { + cerr << "Here is the distance matrix : \n"; + for ( size_t i = 0 ; i != distances.size() ; ++i ) + { + for ( size_t j = 0 ; j != distances.size() ; ++j ) + { + cerr << distances[i][j] << " "; + } + cerr << endl; + } + cerr << endl << endl << "And here are the distances to the diagonal : " << endl; + for ( size_t i = 0 ; i != distances_from_diagonal. size() ; ++i ) + { + cerr << distances_from_diagonal[i] << " "; + } + cerr << endl << endl; + getchar(); + } + + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + std::vector< double > distancesFromI = distances[i]; + distancesFromI.push_back( distances_from_diagonal[i] ); + + //sort it: + std::sort( distancesFromI.begin() , distancesFromI.end() , std::greater() ); + + if ( k > distancesFromI.size() ) + { + if ( dbg ) + { + cerr << "There are not enough neighbors in your set. We set the result to plus infty \n"; + } + result.push_back( std::numeric_limits::max() ); + } + else + { + if ( distances_from_diagonal[i] > distancesFromI[k] ) + { + if ( dbg ) + { + cerr << "The k-th n.n. is on a diagonal. Therefore we set up a distance to diagonal \n"; + } + result.push_back( distances_from_diagonal[i] ); + } + else + { + result.push_back( distancesFromI[k] ); + } + } + } + std::sort( result.begin() , result.end() , std::greater() ); + result.resize( std::min( result.size() , where_to_cut ) ); + return result; -}//length_of_dominant_intervals - - - -bool compare( const std::pair< size_t , double >& first , const std::pair< size_t , double >& second ) -{ - return first.second > second.second; -} - - -std::vector< std::pair > Persistence_intervals::dominant_intervals( size_t where_to_cut ) -{ - bool dbg = false; - std::vector< std::pair< size_t , double > > position_length_vector( this->intervals.size() ); - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - position_length_vector[i] = std::make_pair( i , this->intervals[i].second - this->intervals[i].first ); - } - - std::sort( position_length_vector.begin() , position_length_vector.end() , compare ); - - std::vector< std::pair > result; - result.reserve( std::min( where_to_cut , position_length_vector.size() ) ); - - for ( size_t i = 0 ; i != std::min( where_to_cut , position_length_vector.size() ) ; ++i ) - { - result.push_back( this->intervals[ position_length_vector[i].first ] ); - if ( dbg )cerr << "Position : " << position_length_vector[i].first << " length : " << position_length_vector[i].second << endl; - } - - return result; -}//dominant_intervals - - -std::vector< size_t > Persistence_intervals::histograms_of_lengths( size_t number_of_bins ) -{ - bool dbg = false; - - if ( dbg )cerr << "this->intervals.size() : " << this->intervals.size() << endl; - //first find the length of the longest interval: - double lengthOfLongest = 0; - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - if ( (this->intervals[i].second - this->intervals[i].first) > lengthOfLongest ) - { - lengthOfLongest = this->intervals[i].second - this->intervals[i].first; - } - } - - if ( dbg ){cerr << "lengthOfLongest : " << lengthOfLongest << endl;} - - //this is a container we will use to store the resulting histogram - std::vector< size_t > result( number_of_bins + 1 , 0 ); - - //for every persistence interval in our collection. - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - //compute its length relative to the length of the dominant interval: - double relative_length_of_this_interval = (this->intervals[i].second - this->intervals[i].first)/lengthOfLongest; - - //given the relative length (between 0 and 1) compute to which bin should it contribute. - size_t position = (size_t)(relative_length_of_this_interval*number_of_bins); - - - ++result[position]; - - if ( dbg ) - { - cerr << "i : " << i << endl; - cerr << "Interval : [" << this->intervals[i].first << " , " << this->intervals[i].second << " ] \n"; - cerr << "relative_length_of_this_interval : " << relative_length_of_this_interval << endl; - cerr << "position : " << position << endl; - getchar(); - } - } - - - if ( dbg ){for ( size_t i = 0 ; i != result.size() ; ++i )cerr << result[i] << endl;} - return result; -} - - -std::vector< size_t > Persistence_intervals::cumulative_histograms_of_lengths( size_t number_of_bins ) -{ - std::vector< size_t > histogram = this->histograms_of_lengths( number_of_bins ); - std::vector< size_t > result( histogram.size() ); - - size_t sum = 0; - for ( size_t i = 0 ; i != histogram.size() ; ++i ) - { - sum += histogram[i]; - result[i] = sum; - } - return result; -} - - -std::vector< double > Persistence_intervals::characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins ) -{ - bool dbg = false; - - std::vector< double > result( number_of_bins ); - std::fill( result.begin() , result.end() , 0 ); - - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - if ( dbg ) - { - cerr << "Interval : " << this->intervals[i].first << " , " << this->intervals[i].second << endl; - } - - size_t beginIt = 0; - if ( this->intervals[i].first < x_min )beginIt = 0; - if ( this->intervals[i].first >= x_max )beginIt = result.size(); - if ( ( this->intervals[i].first > x_min ) && ( this->intervals[i].first < x_max ) ) - { - beginIt = number_of_bins*(this->intervals[i].first-x_min)/(x_max - x_min); - } - - size_t endIt; - if ( this->intervals[i].second < x_min )endIt = 0; - if ( this->intervals[i].second >= x_max )endIt = result.size(); - if ( ( this->intervals[i].second > x_min ) && ( this->intervals[i].second < x_max ) ) - { - endIt = number_of_bins*( this->intervals[i].second - x_min )/(x_max - x_min); - } - - if ( beginIt > endIt ){beginIt = endIt;} - - if ( dbg ) - { - cerr << "beginIt : " << beginIt << endl; - cerr << "endIt : " << endIt << endl; - } - - - for ( size_t pos = beginIt ; pos != endIt ; ++pos ) - { - result[pos] += ( (x_max - x_min)/(double)number_of_bins ) * ( this->intervals[i].second - this->intervals[i].first ); - } - //cerr << "x_max : " << x_max << " x_min : " << x_min << " , number_of_bins : " << number_of_bins << " this->intervals[i].second : " << this->intervals[i].second << " this->intervals[i].first : " << this->intervals[i].first << endl; - if ( dbg ) - { - cerr << "Result at this stage \n"; - for ( size_t aa = 0 ; aa != result.size() ; ++aa ) - { - cerr << result[aa] << " "; - } - cerr << endl; - //getchar(); - } - } - return result; -}//characteristic_function_of_diagram - - - -std::vector< double > Persistence_intervals::cumulative_characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins ) -{ - std::vector< double > intsOfBars = this->characteristic_function_of_diagram( x_min , x_max , number_of_bins ); - std::vector< double > result( intsOfBars.size() ); - double sum = 0; - for ( size_t i = 0 ; i != intsOfBars.size() ; ++i ) - { - sum += intsOfBars[i]; - result[i] = sum; - } - return result; -}//cumulative_characteristic_function_of_diagram - - -template -bool compare_first_element_of_pair( const std::pair< T , bool >& f, const std::pair< T , bool >& s ) -{ - return (f.first < s.first); -} - - -std::vector< std::pair< double , size_t > > Persistence_intervals::compute_persistent_betti_numbers() -{ - std::vector< std::pair< double , bool > > places_where_pbs_change( 2*this->intervals.size() ); - - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - places_where_pbs_change[2*i] = std::make_pair( this->intervals[i].first , true ); - places_where_pbs_change[2*i+1] = std::make_pair( this->intervals[i].second , false ); - } - - std::sort( places_where_pbs_change.begin() , places_where_pbs_change.end() , compare_first_element_of_pair ); - size_t pbn = 0; - std::vector< std::pair< double , size_t > > pbns( places_where_pbs_change.size() ); - for ( size_t i = 0 ; i != places_where_pbs_change.size() ; ++i ) - { - if ( places_where_pbs_change[i].second == true ) - { - ++pbn; - } - else - { - --pbn; - } - pbns[i] = std::make_pair( places_where_pbs_change[i].first , pbn ); - } - return pbns; -} - - - - - - -inline double compute_euclidean_distance( const std::pair< double,double > & f , const std::pair< double,double > & s ) -{ - return sqrt( (f.first-s.first)*(f.first-s.first) + (f.second-s.second)*(f.second-s.second) ); -} - - -std::vector< double > Persistence_intervals::k_n_n( size_t k , size_t where_to_cut ) -{ - bool dbg = false; - if ( dbg ) - { - cerr << "Here are the intervals : \n"; - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - cerr << "[ " << this->intervals[i].first << " , " << this->intervals[i].second << "] \n"; - } - getchar(); - } - - std::vector< double > result; - //compute all to all distance between point in the diagram. Also, consider points in the diagonal with the infinite multiplicity. - std::vector< std::vector< double > > distances( this->intervals.size() ); - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - std::vector aa(this->intervals.size()); - std::fill( aa.begin() , aa.end() , 0 ); - distances[i] = aa; - } - std::vector< double > distances_from_diagonal( this->intervals.size() ); - std::fill( distances_from_diagonal.begin() , distances_from_diagonal.end() , 0 ); - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - std::vector< double > distancesFromI; - for ( size_t j = i+1 ; j != this->intervals.size() ; ++j ) - { - distancesFromI.push_back( compute_euclidean_distance( this->intervals[i] , this->intervals[j] ) ); - } - //distances.push_back( distancesFromI ); - //also add a distance from this guy to daigonal: - double distanceToDiagonal = compute_euclidean_distance( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first + this->intervals[i].second) , 0.5*(this->intervals[i].first + this->intervals[i].second) ) ); - distances_from_diagonal[i] = distanceToDiagonal; - - if ( dbg ) - { - cerr << "Here are the distances form the point : [" << this->intervals[i].first << " , " << this->intervals[i].second << "] in the diagram \n"; - for ( size_t aa = 0 ; aa != distancesFromI.size() ; ++aa ) - { - cerr << "To : " << i+aa << " : " << distancesFromI[aa] << " "; - } - cerr << endl; - getchar(); - } - - //filling in the distances matrix: - for ( size_t j = i+1 ; j != this->intervals.size() ; ++j ) - { - distances[i][j] = distancesFromI[j-i-1]; - distances[j][i] = distancesFromI[j-i-1]; - } - } - if ( dbg ) - { - cerr << "Here is the distance matrix : \n"; - for ( size_t i = 0 ; i != distances.size() ; ++i ) - { - for ( size_t j = 0 ; j != distances.size() ; ++j ) - { - cerr << distances[i][j] << " "; - } - cerr << endl; - } - cerr << endl << endl << "And here are the distances to the diagonal : " << endl; - for ( size_t i = 0 ; i != distances_from_diagonal. size() ; ++i ) - { - cerr << distances_from_diagonal[i] << " "; - } - cerr << endl << endl; - getchar(); - } - - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - std::vector< double > distancesFromI = distances[i]; - distancesFromI.push_back( distances_from_diagonal[i] ); - - //sort it: - std::sort( distancesFromI.begin() , distancesFromI.end() , std::greater() ); - - if ( k > distancesFromI.size() ) - { - if ( dbg ) - { - cerr << "There are not enough neighbors in your set. We set the result to plus infty \n"; - } - result.push_back( std::numeric_limits::max() ); - } - else - { - if ( distances_from_diagonal[i] > distancesFromI[k] ) - { - if ( dbg ) - { - cerr << "The k-th n.n. is on a diagonal. Therefore we set up a distance to diagonal \n"; - } - result.push_back( distances_from_diagonal[i] ); - } - else - { - result.push_back( distancesFromI[k] ); - } - } - } - std::sort( result.begin() , result.end() , std::greater() ); - result.resize( std::min( result.size() , where_to_cut ) ); - - return result; -} - - -std::pair Persistence_intervals::min_max() -{ - double min_ = INT_MAX; - double max_ = -INT_MAX; - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - if ( this->intervals[i].first < min_ )min_ = this->intervals[i].first; - if ( this->intervals[i].second > max_ )max_ = this->intervals[i].second; - } - return std::make_pair( min_ , max_ ); -} - -double Persistence_intervals::project_to_R( int number_of_function ) -{ - double result = 0; - - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - result += ( this->intervals[i].second - this->intervals[i].first )*( this->intervals[i].second - this->intervals[i].first ); - } - - return result; -} - - -}//namespace gudhi stat -}//namespace gudhi - -#endif +} + + +std::pair Persistence_intervals::min_max() +{ + double min_ = INT_MAX; + double max_ = -INT_MAX; + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + if ( this->intervals[i].first < min_ )min_ = this->intervals[i].first; + if ( this->intervals[i].second > max_ )max_ = this->intervals[i].second; + } + return std::make_pair( min_ , max_ ); +} + +double Persistence_intervals::project_to_R( int number_of_function ) +{ + double result = 0; + + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + result += ( this->intervals[i].second - this->intervals[i].first )*( this->intervals[i].second - this->intervals[i].first ); + } + + return result; +} + + +}//namespace gudhi stat +}//namespace gudhi + +#endif diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes.h index f728bfbe..403ca455 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes.h @@ -24,7 +24,7 @@ #ifndef Persistence_landscapes_H #define Persistence_landscapes_H - +//standard include #include #include #include @@ -35,12 +35,13 @@ #include - +//gudhi include #include #include #include #include #include +#include using namespace std; @@ -205,7 +206,7 @@ public: * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. **/ - Persistence_landscape(const char* filename); + Persistence_landscape(const char* filename , size_t dimension = 0); @@ -530,6 +531,10 @@ public: { return this->land; } + + + //a function used to create a gnuplot script for visualization of landscapes + void plot( const char* filename ,int from = -1, int to = -1 , double xRangeBegin = -1 , double xRangeEnd = -1 , double yRangeBegin = -1 , double yRangeEnd = -1 ); private: @@ -566,47 +571,18 @@ Persistence_landscape::Persistence_landscape(const Persistence_landscape& orygin -Persistence_landscape::Persistence_landscape(const char* filename) +Persistence_landscape::Persistence_landscape(const char* filename , size_t dimension) { bool dbg = false; if ( dbg ) { std::cerr << "Using constructor : Persistence_landscape(char* filename)" << std::endl; - } - - //this constructor reads persistence landscape form a file. This file have to be created by this software beforehead - std::ifstream in; - in.open( filename ); - - std::string line; - std::vector< std::pair > barcode; - - while (!in.eof()) - { - getline(in,line); - if ( !(line.length() == 0 || line[0] == '#') ) - { - std::stringstream lineSS; - lineSS << line; - double beginn, endd; - lineSS >> beginn; - lineSS >> endd; - if ( beginn > endd ) - { - double b = beginn; - beginn = endd; - endd = b; - } - barcode.push_back( std::make_pair( beginn , endd ) ); - if (dbg) - { - std::cerr << beginn << " , " << endd << std::endl; - } - } - } - in.close(); - + } + //standard file with barcode + //std::vector< std::pair< double , double > > barcode = read_standard_file( filename ); + //gudhi file with barcode + std::vector< std::pair< double , double > > barcode = read_gudhi_file( filename , dimension ); this->construct_persistence_landscape_from_barcode( barcode ); this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); } @@ -1473,6 +1449,49 @@ double compute_inner_product( const Persistence_landscape& l1 , const Persistenc } +void Persistence_landscape::plot( const char* filename , int from, int to , double xRangeBegin , double xRangeEnd , double yRangeBegin , double yRangeEnd ) +{ + //this program create a gnuplot script file that allows to plot persistence diagram. + ofstream out; + + std::ostringstream nameSS; + nameSS << filename << "_GnuplotScript"; + std::string nameStr = nameSS.str(); + out.open( (char*)nameStr.c_str() ); + + if ( (xRangeBegin != -1) || (xRangeEnd != -1) || (yRangeBegin != -1) || (yRangeEnd != -1) ) + { + out << "set xrange [" << xRangeBegin << " : " << xRangeEnd << "]" << endl; + out << "set yrange [" << yRangeBegin << " : " << yRangeEnd << "]" << endl; + } + + if ( from == -1 ){from = 0;} + if ( to == -1 ){to = this->land.size();} + + out << "plot "; + for ( size_t lambda= std::min((size_t)from,this->land.size()) ; lambda != std::min((size_t)to,this->land.size()) ; ++lambda ) + { + out << " '-' using 1:2 title 'l" << lambda << "' with lp"; + if ( lambda+1 != std::min((size_t)to,this->land.size()) ) + { + out << ", \\"; + } + out << endl; + } + + for ( size_t lambda= std::min((size_t)from,this->land.size()) ; lambda != std::min((size_t)to,this->land.size()) ; ++lambda ) + { + for ( size_t i = 1 ; i != this->land[lambda].size()-1 ; ++i ) + { + out << this->land[lambda][i].first << " " << this->land[lambda][i].second << endl; + } + out << "EOF" << endl; + } + cout << "Gnuplot script to visualize persistence diagram written to the file: " << nameStr << ". Type load '" << nameStr << "' in gnuplot to visualize." << endl; +} + + + }//namespace gudhi stat }//namespace gudhi diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h index bcabadac..ce111426 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h @@ -37,6 +37,7 @@ #include #include #include +#include using namespace std; namespace Gudhi @@ -203,27 +204,13 @@ Vector_distances_in_diagram& Vector_distances_in_diagram::operator =( cons template Vector_distances_in_diagram::Vector_distances_in_diagram( const char* filename , size_t where_to_cut ):Abs_Vectorized_topological_data(where_to_cut) -{ - std::vector< std::pair< double , double > > intervals; - ifstream in; - in.open( filename ); - - if ( !in.good() ) - { - std::cerr << "File : " << filename << " do not exist. The program will now terminate \n"; - throw("File with the persistence diagram do not exist, the program will now terminate.\n"); - } +{ + //standard file with barcode + std::vector< std::pair< double , double > > intervals = read_standard_file( filename ); + //gudhi file with barcode + //std::vector< std::pair< double , double > > intervals = read_gudhi_file( filename , dimension ); - while ( true ) - { - double first; - double second; - in >> first >> second; - if ( in.eof() )break; - intervals.push_back( std::make_pair( first,second ) ); - } this->intervals = intervals; - in.close(); this->compute_sorted_vector_of_distnaces_via_heap( where_to_cut ); set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); } -- cgit v1.2.3 From 18ff095793e71b7653a390cc56dfdf1d5b7514eb Mon Sep 17 00:00:00 2001 From: pdlotko Date: Tue, 13 Sep 2016 13:30:54 +0000 Subject: a few modification to the code to compute persistence landscapes on a grid git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1493 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 6adb9cecf2465330c121e44236ad1d7c4bce2d07 --- src/Gudhi_stat/example/CMakeLists.txt | 4 +- .../gudhi/concretizations/Persistence_heat_maps.h | 293 +++++++++------------ .../gudhi/concretizations/Persistence_intervals.h | 4 +- src/Gudhi_stat/test/CMakeLists.txt | 12 + 4 files changed, 146 insertions(+), 167 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/CMakeLists.txt b/src/Gudhi_stat/example/CMakeLists.txt index aadfc83b..0229ba7c 100644 --- a/src/Gudhi_stat/example/CMakeLists.txt +++ b/src/Gudhi_stat/example/CMakeLists.txt @@ -1,6 +1,9 @@ cmake_minimum_required(VERSION 2.6) project(GUDHI_STAT) +add_executable ( persistence_landscape_on_grid persistence_landscape_on_grid.cpp ) +target_link_libraries(persistence_landscape_on_grid ${Boost_SYSTEM_LIBRARY}) + add_executable ( persistence_landscape persistence_landscape.cpp ) target_link_libraries(persistence_landscape ${Boost_SYSTEM_LIBRARY}) @@ -13,7 +16,6 @@ target_link_libraries(create_landscapes ${Boost_SYSTEM_LIBRARY}) add_executable ( plot_landscapes plot_landscapes.cpp ) target_link_libraries(plot_landscapes ${Boost_SYSTEM_LIBRARY}) - add_executable ( persistence_intervals persistence_intervals.cpp ) target_link_libraries(persistence_intervals ${Boost_SYSTEM_LIBRARY}) diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h index a0a74eba..c3c665b2 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h @@ -20,35 +20,6 @@ * along with this program. If not, see . */ - - /* -I would not say that homology is rovust when you speak about invariance with respect to continuous deformation. -* -Definition of simplicial compelx is redundant. There is no need to include vertices separatell. -* -term 'codimension' used without being defined. -* -"because boundary of boundary is always empty' -- in an intro survey one should not assume it. -* -*what you call 'simple homotopies' in the literature is called 'free face collapses'. They are based on a simple homotopy theory, but this is not how they are called. -* -* "hovewer when 1 \neq -1 ... -- not clear for people who do not know what you are talking about. -* -* It is a urban legend that Cech complexes are difficult. They are not, one use exactly the same algorithm as in Rips complex construction and use minibal to check the intersection. -* -* correlations or measures of dissimilarity are typically not distances. -* -* topological inference means soemthing else than you say in section 4 ????????????????????????????????? -* -* Definition of persistence is wrong. Authors in the next paragraph are trying to provide a 'refined and ultimately more useful' definition which takes into account that classes can merge. -* This is a very clumzy and extremally confusing and in my opinion useless. What is the aim of providing wrong definition and then trying to fix it in informal text? Now it is not clear what do -* they mean by birth and death later in the paper. -* In the previous iteration the feedback on this was given by both reviewers. Still, the authors failed to copy-pasted the correct definition -* from vast literature. The fact that despite critical comments in the previous review none of many authors of the paper have found a problem in definition clearly indicate that authors are not -* experts in persistent homology. In my opinion such a type of survey should be written by scientists who are more experiences in a field. -* -* - */ //standard include @@ -57,20 +28,73 @@ term 'codimension' used without being defined. #include //gudhi include -#include "persistence_intervals.h" +#include "read_persitence_from_file.h" #include "Distances_of_points_in_diagram.h" -#include "read_files_names.h" using namespace std; -template +std::vector< std::vector > create_Gaussian_filter( size_t pixel_radius , double sigma ) +{ + //we are computing the kernel mask to 2 standard deviations away from the center. We discretize it in a grid of a size 2*pixel_radius times 2*pixel_radius. + + double r = 0; + double sigma_sqr = sigma * sigma; + + // sum is for normalization + double sum = 0; + + //initialization of a kernel: + std::vector< std::vector > kernel( 2*pixel_radius ); + for ( size_t i = 0 ; i != 2*pixel_radius ; ++i ) + { + std::vector v( 2*pixel_radius , 0 ); + kernel[i] = v; + } + + for (int x = -pixel_radius; x <= pixel_radius; x++) + { + for(int y = -pixel_radius; y <= pixel_radius; y++) + { + double real_x = 2*sigma*x/pixel_radius; + double real_y = 2*sigma*y/pixel_radius; + r = sqrt(real_x*real_x + real_y*real_y); + kernel[x + pixel_radius][y + pixel_radius] = (exp(-(r*r)/sigma_sqr))/(3.141592 * sigma_sqr); + sum += gKernel[x + pixel_radius][y + pixel_radius]; + } + } + + // normalize the kernel + for(int i = 0; i != kernel.size() ; ++i) + { + for(int j = 0; j != kernel[i].size() ; ++j) + { + gKernel[i][j] /= sum; + } + + } + return kernel; +} + +double constant_function( std::pair< double , double >& point_in_diagram ) +{ + return 1; +} + + + class Persistence_heat_maps { public: - Persistence_heat_maps(){}; - Persistence_heat_maps( Persistence_intervals& interval , int number_of_pixels = 1000 , int diameter_of_gaussian = 4 , T min_ = -1 , T max_ = -1 ); - Persistence_heat_maps( char* name_of_file_with_names_of_files_with_intervals , int number_of_pixels = 1000 , int diameter_of_gaussian = 4 , T min_ = -1 , T max_ = -1 ); + Persistence_heat_maps() + { + this->scalling_function_with_respect_to_distance_from_diagonal = constant_function; + this->erase_below_diagonal = false; + this->filter = create_Gaussian_filter(5,1); + this->min_ = this->max_ = 0; + }; + Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , int number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); + Persistence_heat_maps( const char* name_of_file_with_names_of_files_with_interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , int number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); void load_mean( const std::vector& maps ); @@ -85,44 +109,37 @@ public: void plot( const char* filename ); private: - std::vector< std::vector > check_and_initialize_maps( const std::vector& maps ); - void construct( const Persistence_intervals& intervals_ , T min_ = -1 , T max_ = -1); - const Persistence_intervals& intervals; - int number_of_pixels; - //int diameter_of_gaussian; - //we should keep here the Gaussian filter - - //here we should have the scalling function + //private methods + std::vector< std::vector > check_and_initialize_maps( const std::vector& maps ); + void construct( const std::vector< std::pair >& intervals_ , double min_ = -1 , double max_ = -1); - //here we should have the info if we cut out everything below diagonal or not - - T min_; - T max_; - std::vector< std::vector > heat_map; + //data + std::vector< std::vector > filter; + double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ); + bool erase_below_diagonal; + double min_; + double max_; + std::vector< std::vector< double > > heat_map; }; -template -void Persistence_heat_maps::construct( std::vector< Persistence_intervals* > intervals_ , T min_ , T max_ ) +//if min_ == max_, then the program is requested to set up the values itself based on persistence intervals +void Persistence_heat_maps::construct( const std::vector< std::pair >& intervals_ , double min_ , double max_ ) { bool dbg = false; - for ( size_t i = 0 ; i != intervals_.size() ; ++i ) - { - this->intervals.push_back( intervals_[i] ); - } - if ( min_ == max_ ) { //in this case, we want the program to set up the min_ and max_ values by itself. min_ = INT_MAX; max_ = -INT_MAX; + + for ( size_t i = 0 ; i != intervals_.size() ; ++i ) { - std::pair min_max = intervals_[i]->min_max(); - if ( min_max.first < min_ )min_ = min_max.first; - if ( min_max.second > max_ )max_ = min_max.second; - } + if ( intervals_[i].first < min_ )min_ = min_max.first; + if ( intervals_[i].second > max_ )max_ = min_max.second; + } //now we have the structure filled in, and moreover we know min_ and max_ values of the interval, so we know the range. //add some more space: @@ -130,104 +147,53 @@ void Persistence_heat_maps::construct( std::vector< Persistence_intervals* max_ += fabs(max_ - min_)/100; } - - cerr << "min_ : " << min_ << endl; - cerr << "max_ : " << max_ << endl; + if ( dng ) + { + cerr << "min_ : " << min_ << endl; + cerr << "max_ : " << max_ << endl; + } this->min_ = min_; this->max_ = max_; //initialization of the structure heat_map - std::vector< std::vector< std::vector > > heat_map_; + std::vector< std::vector > heat_map_; for ( size_t i = 0 ; i != this->number_of_pixels ; ++i ) - { - std::vector< std::vector > row; - for ( size_t j = 0 ; j != this->number_of_pixels ; ++j ) - { - std::vector v( this->intervals.size() ); - std::fill( v.begin() , v.end() , 0 ); - row.push_back( v ); - } - heat_map_.push_back( row ); + { + std::vector v( this->number_of_pixels , 0 ); + heat_map_.push_back( v ); } this->heat_map = heat_map_; if (dbg)cerr << "Done creating of the heat map, now we will fill in the structure \n"; - //and filling-in the structure: - //for every persistence diagram: - for ( size_t diag_no = 0 ; diag_no != this->intervals.size() ; ++diag_no ) - { - //for every point in this diagram: - for ( size_t point_no = 0 ; point_no != this->intervals[diag_no]->intervals.size() ; ++point_no ) - { - //take the coordinates of this->intervals[diag_no][point_no] - //this->heat_map[diag_no] - size_t x_position_matrix = ((this->intervals[diag_no]->intervals[point_no].first-min_)/( max_ - min_ )) * this->number_of_pixels; - size_t y_position_matrix = ((this->intervals[diag_no]->intervals[point_no].second-min_)/( max_ - min_ )) * this->number_of_pixels; - - if ( (x_position_matrix > this->number_of_pixels) || (y_position_matrix > this->number_of_pixels) ) - { - cerr << "Points coords out of range : (" << this->intervals[diag_no]->intervals[point_no].first << " , " << this->intervals[diag_no]->intervals[point_no].second << "). This is probably due to wrong values of min and max being setup. This point will be disregarded \n"; - continue; - } - - if ( dbg ) - { - cerr << "The coords of the point are : (" << this->intervals[diag_no]->intervals[point_no].first << " , " << this->intervals[diag_no]->intervals[point_no].second << ") \n"; - cerr << "The matrix coords are : (" << x_position_matrix << " , " << y_position_matrix << ") \n"; - getchar(); - } - - if ( x_position_matrix == y_position_matrix )continue; - - size_t lower_side = (size_t)std::max( (int)(y_position_matrix-this->diameter_of_gaussian) , (int)0 ); - size_t upper_side = (size_t)std::min( (int)(y_position_matrix+this->diameter_of_gaussian) , (int)(this->number_of_pixels-1) ); - size_t left_side = (size_t)std::max( (int)(x_position_matrix - this->diameter_of_gaussian) , (int)0 ); - size_t right_side = (size_t)std::min( (int)(x_position_matrix + this->diameter_of_gaussian) , (int)(this->number_of_pixels-1) ); - - if ( dbg ) - { - cerr << "lower_side : " << lower_side << endl; - cerr << "upper_side : " << upper_side << endl; - cerr << "left_side : " << left_side << endl; - cerr << "right_side : " << right_side << endl; - } + //we will use this extra data structure to store the information about points in the diagram and their weights with respect to the weighting function. + std::vector< std::vector< std::vector< double > > > weights_of_points; + for ( aaa ) + - for ( size_t y = lower_side ; y <= upper_side ; ++y ) - { - for ( size_t x = left_side ; x <= right_side ; ++x ) - { - //cerr << "(" << x << "," << y << ")"; - //make it more ambitious: - this->heat_map[x][y][diag_no]++; - } - //cerr << endl; - } - //getchar(); - } - } + for ( size_t i = 0 ; i != this->number_of_pixels ; ++i ) + { + for ( size_t j = 0 ; j != this->number_of_pixels ; ++j ) + { + //compute the value of a heat map at a point [i,j]. + aaa, todo + } + } }//construct -template -Persistence_heat_maps::Persistence_heat_maps( std::vector< Persistence_intervals* > intervals_ , int number_of_pixels_ , int diameter_of_gaussian_ , T min_ , T max_ ):number_of_pixels(number_of_pixels_),diameter_of_gaussian(diameter_of_gaussian_) +todo +Persistence_heat_maps::Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , int number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ) { this->construct( intervals_ , min_ , max_ ); } -template -Persistence_heat_maps::Persistence_heat_maps( char* name_of_file_with_names_of_files_with_intervals , int number_of_pixels_ , int diameter_of_gaussian_ , T min_ , T max_):number_of_pixels(number_of_pixels_),diameter_of_gaussian(diameter_of_gaussian_) -{ - std::vector< Persistence_intervals* > intervals; - std::vector names = readFileNames( name_of_file_with_names_of_files_with_intervals ); - for ( size_t file_no = 0 ; file_no != names.size() ; ++file_no ) - { - cout << "Reading file : " << names[file_no] << endl; - Persistence_intervals* interval = new Persistence_intervals( (char*)names[file_no].c_str() ); - intervals.push_back( interval ); - } - this->construct( intervals , min_ , max_); +todo +Persistence_heat_maps::Persistence_heat_maps( const char* name_of_file_with_names_of_files_with_interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , int number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ) +{ + std::vector< std::pair< double , double > > interval = read_standard_file( name_of_file_with_names_of_files_with_interval ); + this->construct( interval , min_ , max_); } @@ -248,8 +214,8 @@ double vector_median(std::vector vec) } } -template -std::vector< std::vector > Persistence_heat_maps::check_and_initialize_maps( const std::vector& maps ) + +std::vector< std::vector > Persistence_heat_maps::check_and_initialize_maps( const std::vector& maps ) { //checking if all the heat maps are of the same size: for ( size_t i = 0 ; i != maps.heat_maps.size() ; ++i ) @@ -265,21 +231,21 @@ std::vector< std::vector > Persistence_heat_maps::check_and_initialize_map throw "Sizes of Persistence_heat_maps are not compatible. The program will terminate now \n"; } } - std::vector< std::vector > heat_maps( maps.heat_maps.size() ); + std::vector< std::vector > heat_maps( maps.heat_maps.size() ); for ( size_t i = 0 ; i != maps.heat_maps.size() ; ++i ) { - std::vector v( maps.heat_maps[0].size() , 0 ); + std::vector v( maps.heat_maps[0].size() , 0 ); heat_maps[i] = v; } return heat_maps; } -template -void Persistence_heat_maps::load_median( const std::vector& maps ) + +void Persistence_heat_maps::load_median( const std::vector& maps ) { - std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); + std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); - std::vector to_compute_median( maps.size() ); + std::vector to_compute_median( maps.size() ); for ( size_t i = 0 ; i != heat_map.size() ; ++i ) { for ( size_t j = 0 ; j != heat_map[i].size() ; ++j ) @@ -295,22 +261,22 @@ void Persistence_heat_maps::load_median( const std::vector -void Persistence_heat_maps::load_mean( const std::vector& maps ) + +void Persistence_heat_maps::load_mean( const std::vector& maps ) { - std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); + std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); - std::vector to_compute_median( maps.size() ); + std::vector to_compute_median( maps.size() ); for ( size_t i = 0 ; i != heat_map.size() ; ++i ) { for ( size_t j = 0 ; j != heat_map[i].size() ; ++j ) { - T mean = 0; + double mean = 0; for ( size_t aa = 0 ; aa != maps.size() ; ++aa ) { mean += maps[i][j]; } - heat_maps[i][j] = mean/(T)maps.size(); + heat_maps[i][j] = mean/(double)maps.size(); } } this->heat_map = heat_maps; @@ -319,10 +285,10 @@ void Persistence_heat_maps::load_mean( const std::vector -void Persistence_heat_maps::load_percentage_of_active( const std::vector maps , size_t cutoff ) + +void Persistence_heat_maps::load_percentage_of_active( const std::vector maps , size_t cutoff ) { - std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); + std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) { @@ -343,13 +309,12 @@ void Persistence_heat_maps::load_percentage_of_active( const std::vectorheat_map = heat_maps; } -template -void Persistence_heat_maps::plot( const char* filename ) + +void Persistence_heat_maps::plot( const char* filename ) { ofstream out; out.open( filename ); @@ -367,8 +332,8 @@ void Persistence_heat_maps::plot( const char* filename ) } -template -void Persistence_heat_maps::write_to_file( const char* filename ) + +void Persistence_heat_maps::write_to_file( const char* filename ) { ofstream out; out.open( filename ); @@ -383,8 +348,8 @@ void Persistence_heat_maps::write_to_file( const char* filename ) out.close(); } -template -Persistence_heat_maps::Persistence_heat_maps( const char* filename ) + +Persistence_heat_maps::Persistence_heat_maps( const char* filename ) { bool dbg = true; @@ -407,10 +372,10 @@ Persistence_heat_maps::Persistence_heat_maps( const char* filename ) std::stringstream lineSS; lineSS << line; - std::vector< std::vector > line_of_heat_map; + std::vector< std::vector > line_of_heat_map; while ( lineSS.good() ) { - T point; + double point; lineSS >> point; line_of_heat_map.push_back( point ); if ( dbg ) diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h index ecb69a2f..e0db0070 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h @@ -608,8 +608,8 @@ std::vector< double > Persistence_intervals::k_n_n( size_t k , size_t where_to_c std::pair Persistence_intervals::min_max() { - double min_ = INT_MAX; - double max_ = -INT_MAX; + double min_ = std::numeric_limits::max(); + double max_ = -std::numeric_limits::max(); for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) { if ( this->intervals[i].first < min_ )min_ = this->intervals[i].first; diff --git a/src/Gudhi_stat/test/CMakeLists.txt b/src/Gudhi_stat/test/CMakeLists.txt index 7975e68a..6d728fd8 100644 --- a/src/Gudhi_stat/test/CMakeLists.txt +++ b/src/Gudhi_stat/test/CMakeLists.txt @@ -58,3 +58,15 @@ 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_test.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_test.xml --log_level=test_suite --report_level=no) -- cgit v1.2.3 From f32f0023bf794d7cc590df56b14cf57ea98003d2 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Thu, 15 Sep 2016 11:31:44 +0000 Subject: this time with the proper files... git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1501 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 8082cace6b3b8775a20c185c921bf9a37279f1be --- .../example/persistence_landscape_on_grid | Bin 0 -> 76816 bytes .../example/persistence_landscape_on_grid.cpp | 142 +++ .../Persistence_landscapes_on_grid.h | 1221 ++++++++++++++++++++ src/Gudhi_stat/test/data/aaaa | 104 ++ src/Gudhi_stat/test/data/average_on_a_grid | 104 ++ src/Gudhi_stat/test/data/difference_on_grid_test | 104 ++ .../test/data/landscape_from_file_with_diagram_1 | 104 ++ .../test/data/multiply_by_scalar_on_grid_test | 104 ++ src/Gudhi_stat/test/data/sum_on_grid_test | 104 ++ .../test/persistence_lanscapes_on_grid_test.cpp | 253 ++++ 10 files changed, 2240 insertions(+) create mode 100755 src/Gudhi_stat/example/persistence_landscape_on_grid create mode 100644 src/Gudhi_stat/example/persistence_landscape_on_grid.cpp create mode 100644 src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes_on_grid.h create mode 100644 src/Gudhi_stat/test/data/aaaa create mode 100644 src/Gudhi_stat/test/data/average_on_a_grid create mode 100644 src/Gudhi_stat/test/data/difference_on_grid_test create mode 100644 src/Gudhi_stat/test/data/landscape_from_file_with_diagram_1 create mode 100644 src/Gudhi_stat/test/data/multiply_by_scalar_on_grid_test create mode 100644 src/Gudhi_stat/test/data/sum_on_grid_test create mode 100644 src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/persistence_landscape_on_grid b/src/Gudhi_stat/example/persistence_landscape_on_grid new file mode 100755 index 00000000..c65856d8 Binary files /dev/null and b/src/Gudhi_stat/example/persistence_landscape_on_grid differ diff --git a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp new file mode 100644 index 00000000..d5b0808b --- /dev/null +++ b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp @@ -0,0 +1,142 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include + + +int main( int argc , char** argv ) +{ + /* + 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_discance_of_landscapes_on_grid(p,sum,1) << endl; + cerr << compute_discance_of_landscapes_on_grid(p,sum,2) << endl; + cerr << compute_discance_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 ); + std::vector< Abs_Topological_data_with_averages* > to_average; + to_average.push_back( &p ); + to_average.push_back( &q ); + Persistence_landscape_on_grid av; + av.compute_average( to_average ); + 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 , -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 ); + cerr << p.compute_scalar_product( &q ) << endl; + + + return 0; +} diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes_on_grid.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes_on_grid.h new file mode 100644 index 00000000..5d2ccef9 --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes_on_grid.h @@ -0,0 +1,1221 @@ +/* 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 Sophia-Saclay (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 . + */ + +#pragma once +#ifndef Persistence_landscape_on_grid_on_grid_H +#define Persistence_landscape_on_grid_on_grid_H + +//standard include +#include +#include +#include +#include +#include +#include +#include +#include + + +//gudhi include +#include +#include +#include +#include +#include +#include + + + +using namespace std; + + +namespace Gudhi +{ +namespace Gudhi_stat +{ + +/** + * Given two points in R^2, the procedure compute the parameters A and B of the line y = Ax + B that crosses those two points. +**/ +std::pair compute_parameters_of_a_line( std::pair p1 , std::pair p2 ) +{ + double a = (p2.second-p1.second)/( p2.first - p1.first ); + double b = p1.second - a*p1.first; + return std::make_pair(a,b); +} + +struct greater +{ + template + bool operator()(T const &a, T const &b) const { return a > b; } +}; + +//double epsi = std::numeric_limits::epsilon(); +double epsi = 0.000005; + + +/** + * A procedure used to compare doubles. Typically gien two doubles A and B, comparing A == B is not good idea. In this case, we use the procedure almostEqual with the epsi defined at + * the top of the file. Setting up the epsi give the user a tolerance on what should be consider equal. +**/ +inline bool almost_equal( double a , double b ) +{ + if ( fabs(a-b) < epsi ) + return true; + return false; +} + + + + +class Persistence_landscape_on_grid : + public Abs_Vectorized_topological_data , + public Abs_Topological_data_with_distances, + public Abs_Real_valued_topological_data, + public Abs_Topological_data_with_averages, + public Abs_Topological_data_with_scalar_product +{ +public: + /** + * Default constructor. + **/ + Persistence_landscape_on_grid() + { + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); + this->grid_min = this->grid_max = 0; + } + + /** + * Constructor that takes as an input a vector of birth-death pairs. + **/ + Persistence_landscape_on_grid( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_ ); + + /** + * Assignement operator. + **/ + Persistence_landscape_on_grid& operator=( const Persistence_landscape_on_grid& org ); + + /** + * Copy constructor. + **/ + Persistence_landscape_on_grid(const Persistence_landscape_on_grid&); + + /** + * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed + * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. The additional parameters of this procedure are: ranges of grid, resoltion of a grid + * and the dimension of intervals that are need to be read from a file (in case of Gudhi format files). + **/ + Persistence_landscape_on_grid(const char* filename , double grid_min_, double grid_max_ , size_t number_of_points_ , size_t dimension_ = 0 ); + + /** + * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed + * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. The additional parameter is the resoution of a grid. The remaning parameters are + * calculated based on data. + **/ + Persistence_landscape_on_grid(const char* filename , size_t number_of_points ); + + + /** + * This procedure loads a landscape from file. It erase all the data that was previously stored in this landscape. + **/ + void load_landscape_from_file( const char* filename ); + + + /** + * The procedure stores a landscape to a file. The file can be later used by a procedure load_landscape_from_file. + **/ + void print_to_file( const char* filename )const; + + + + /** + * This function compute integral of the landscape (defined formally as sum of integrals on R of all landscape functions) + **/ + double compute_integral_of_landscape()const + { + size_t maximal_level = this->number_of_nonzero_levels(); + double result = 0; + for ( size_t i = 0 ; i != maximal_level ; ++i ) + { + result += this->compute_integral_of_landscape(i); + } + return result; + } + + + /** + * This function compute integral of the 'level'-level of a landscape. + **/ + double compute_integral_of_landscape( size_t level )const + { + bool dbg = false; + double result = 0; + double dx = (this->grid_max - this->grid_min)/(double)(this->values_of_landscapes.size()-1); + + if ( dbg ) + { + cerr << "this->grid_max : " << this->grid_max << endl; + cerr << "this->grid_min : " << this->grid_min << endl; + cerr << "this->values_of_landscapes.size() : " << this->values_of_landscapes.size() << endl; + getchar(); + } + + + double previous_x = this->grid_min-dx; + double previous_y = 0; + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + double current_x = previous_x + dx; + double current_y = 0; + if ( this->values_of_landscapes[i].size() > level )current_y = this->values_of_landscapes[i][level]; + + if ( dbg ) + { + cerr << "this->values_of_landscapes[i].size() : " << this->values_of_landscapes[i].size() << " , level : " << level << endl; + if ( this->values_of_landscapes[i].size() > level )cerr << "this->values_of_landscapes[i][level] : " << this->values_of_landscapes[i][level] << endl; + cerr << "previous_y : " << previous_y << endl; + cerr << "current_y : " << current_y << endl; + cerr << "dx : " << dx << endl; + cerr << "0.5*dx*( previous_y + current_y ); " << 0.5*dx*( previous_y + current_y ) << endl; + } + + result += 0.5*dx*( previous_y + current_y ); + previous_x = current_x; + previous_y = current_y; + } + return result; + } + + /** + * This function compute integral of the landscape p-th power of a landscape (defined formally as sum of integrals on R of p-th powers of all landscape functions) + **/ + double compute_integral_of_landscape( double p )const + { + size_t maximal_level = this->number_of_nonzero_levels(); + double result = 0; + for ( size_t i = 0 ; i != maximal_level ; ++i ) + { + result += this->compute_integral_of_landscape(p,i); + } + return result; + } + + /** + * This function compute integral of the landscape p-th power of a level of a landscape (defined formally as sum of integrals on R of p-th powers of all landscape functions) + **/ + double compute_integral_of_landscape( double p , size_t level )const + { + bool dbg = false; + + double result = 0; + double dx = (this->grid_max - this->grid_min)/(double)(this->values_of_landscapes.size()-1); + double previous_x = this->grid_min; + double previous_y = 0; + if ( this->values_of_landscapes[0].size() > level )previous_y = this->values_of_landscapes[0][level]; + + if ( dbg ) + { + cerr << "dx : " << dx << endl; + cerr << "previous_x : " << previous_x << endl; + cerr << "previous_y : " << previous_y << endl; + cerr << "power : " << p << endl; + getchar(); + } + + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + double current_x = previous_x + dx; + double current_y = 0; + if ( this->values_of_landscapes[i].size() > level )current_y = this->values_of_landscapes[i][level]; + + if ( dbg )cerr << "current_y : " << current_y << endl; + + if ( current_y == previous_y )continue; + + std::pair coef = compute_parameters_of_a_line( std::make_pair( previous_x , previous_y ) , std::make_pair( current_x , current_y ) ); + double a = coef.first; + double b = coef.second; + + if ( dbg ) + { + cerr << "A line passing through points : (" << previous_x << "," << previous_y << ") and (" << current_x << "," << current_y << ") is : " << a << "x+" << b << endl; + } + + //In this interval, the landscape has a form f(x) = ax+b. We want to compute integral of (ax+b)^p = 1/a * (ax+b)^{p+1}/(p+1) + double value_to_add = 0; + if ( a != 0 ) + { + value_to_add = 1/(a*(p+1)) * ( pow((a*current_x+b),p+1) - pow((a*previous_x+b),p+1)); + } + else + { + value_to_add = ( current_x - previous_x )*( pow(b,p) ); + } + result += value_to_add; + if ( dbg ) + { + cerr << "Increasing result by : " << value_to_add << endl; + cerr << "restult : " << result << endl; + getchar(); + } + previous_x = current_x; + previous_y = current_y; + } + if ( dbg )cerr << "The total result is : " << result << endl; + return result; + } + + /** + * Writing landscape into a stream. A i-th level landscape starts with a string "lambda_i". Then the discontinuity points of the landscapes follows. + * Shall those points be joined with lines, we will obtain the i-th landscape function. + **/ + friend std::ostream& operator<<(std::ostream& out, const Persistence_landscape_on_grid& land ) + { + double dx = (land.grid_max - land.grid_min)/(double)(land.values_of_landscapes.size()-1); + double x = land.grid_min; + for ( size_t i = 0 ; i != land.values_of_landscapes.size() ; ++i ) + { + out << x << " : "; + for ( size_t j = 0 ; j != land.values_of_landscapes[i].size() ; ++j ) + { + out << land.values_of_landscapes[i][j] << " "; + } + out << endl; + x += dx; + } + return out; + } + + + /** + * A function that computes the value of a landscape at a given point. The parameters of the function are: unsigned level and double x. + * The procedure will compute the value of the level-landscape at the point x. + **/ + double compute_value_at_a_given_point( unsigned level , double x )const + { + bool dbg = false; + if ( (x < this->grid_min) || (x > this->grid_max) )return 0; + + //find a position of a vector closest to x: + double dx = (this->grid_max - this->grid_min)/(double)(this->values_of_landscapes.size()-1); + size_t position = size_t((x-this->grid_min)/dx); + + if ( dbg ) + { + std::cerr << "This is a procedure compute_value_at_a_given_point \n"; + std::cerr << "level : " << level << endl; + std::cerr << "x : " << x << endl; + std::cerr << "psoition : " << position << endl; + } + //check if we are not exacly in the grid point: + if ( almost_equal( position*dx+ this->grid_min , x) ) + { + if ( this->values_of_landscapes[position].size() < level ) + { + return this->values_of_landscapes[position][level]; + } + else + { + return 0; + } + } + //in the other case, approximate with a line: + std::pair line; + if ( (this->values_of_landscapes[position].size() > level) && (this->values_of_landscapes[position+1].size() > level) ) + { + line = compute_parameters_of_a_line( std::make_pair( position*dx+ this->grid_min , this->values_of_landscapes[position][level] ) , std::make_pair( (position+1)*dx+ this->grid_min , this->values_of_landscapes[position+1][level] ) ); + } + else + { + if ( (this->values_of_landscapes[position].size() > level) || (this->values_of_landscapes[position+1].size() > level) ) + { + if ( (this->values_of_landscapes[position].size() > level) ) + { + line = compute_parameters_of_a_line( std::make_pair( position*dx+ this->grid_min , this->values_of_landscapes[position][level] ) , std::make_pair( (position+1)*dx+ this->grid_min , 0 ) ); + } + else + { + //(this->values_of_landscapes[position+1].size() > level) + line = compute_parameters_of_a_line( std::make_pair( position*dx+ this->grid_min , 0 ) , std::make_pair( (position+1)*dx+ this->grid_min , this->values_of_landscapes[position+1][level] ) ); + } + } + else + { + return 0; + } + } + //compute the value of the linear function parametrized by line on a point x: + return line.first*x+line.second; + } + + + /** + * A function that compute sum of two landscapes. + **/ + friend Persistence_landscape_on_grid add_two_landscapes ( const Persistence_landscape_on_grid& land1 , const Persistence_landscape_on_grid& land2 ) + { + return operation_on_pair_of_landscapes_on_grid< std::plus >(land1,land2); + } + + /** + * A function that compute difference of two landscapes. + **/ + friend Persistence_landscape_on_grid subtract_two_landscapes ( const Persistence_landscape_on_grid& land1 , const Persistence_landscape_on_grid& land2 ) + { + return operation_on_pair_of_landscapes_on_grid< std::minus >(land1,land2); + } + + /** + * An operator +, that compute sum of two landscapes. + **/ + friend Persistence_landscape_on_grid operator+( const Persistence_landscape_on_grid& first , const Persistence_landscape_on_grid& second ) + { + return add_two_landscapes( first,second ); + } + + /** + * An operator -, that compute difference of two landscapes. + **/ + friend Persistence_landscape_on_grid operator-( const Persistence_landscape_on_grid& first , const Persistence_landscape_on_grid& second ) + { + return subtract_two_landscapes( first,second ); + } + + /** + * An operator * that allows multipilication of a landscape by a real number. + **/ + friend Persistence_landscape_on_grid operator*( const Persistence_landscape_on_grid& first , double con ) + { + return first.multiply_lanscape_by_real_number_not_overwrite(con); + } + + /** + * An operator * that allows multipilication of a landscape by a real number (order of parameters swapped). + **/ + friend Persistence_landscape_on_grid operator*( double con , const Persistence_landscape_on_grid& first ) + { + return first.multiply_lanscape_by_real_number_not_overwrite(con); + } + + friend bool check_if_defined_on_the_same_domain( const Persistence_landscape_on_grid& land1, const Persistence_landscape_on_grid& land2 ) + { + if ( land1.values_of_landscapes.size() != land2.values_of_landscapes.size() )return false; + if ( land1.grid_min != land2.grid_min )return false; + if ( land1.grid_max != land2.grid_max )return false; + return true; + } + + /** + * Operator +=. The second parameter is persistnece landwscape. + **/ + Persistence_landscape_on_grid operator += ( const Persistence_landscape_on_grid& rhs ) + { + *this = *this + rhs; + return *this; + } + + /** + * Operator -=. The second parameter is persistnece landwscape. + **/ + Persistence_landscape_on_grid operator -= ( const Persistence_landscape_on_grid& rhs ) + { + *this = *this - rhs; + return *this; + } + + + /** + * Operator *=. The second parameter is a real number by which the y values of all landscape functions are multiplied. The x-values remain unchanged. + **/ + Persistence_landscape_on_grid operator *= ( double x ) + { + *this = *this*x; + return *this; + } + + /** + * Operator /=. The second parameter is a real number. + **/ + Persistence_landscape_on_grid operator /= ( double x ) + { + if ( x == 0 )throw( "In operator /=, division by 0. Program terminated." ); + *this = *this * (1/x); + return *this; + } + + /** + * An operator to compare two persistence landscapes. + **/ + bool operator == ( const Persistence_landscape_on_grid& rhs )const + { + bool dbg = true; + if ( ! this->values_of_landscapes.size() == rhs.values_of_landscapes.size() ) + { + if (dbg) cerr << "values_of_landscapes of incompatable sizes\n"; + return false; + } + if ( !almost_equal( this->grid_min , rhs.grid_min ) ) + { + if (dbg) cerr << "grid_min not equal\n"; + return false; + } + if ( !almost_equal(this->grid_max,rhs.grid_max ) ) + { + if (dbg) cerr << "grid_max not equal\n"; + return false; + } + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + for ( size_t aa = 0 ; aa != this->values_of_landscapes[i].size() ; ++aa ) + { + if ( !almost_equal( this->values_of_landscapes[i][aa] , rhs.values_of_landscapes[i][aa] ) ) + { + if (dbg) + { + cerr << "Problem in the position : " << i << " of values_of_landscapes. \n"; + cerr << this->values_of_landscapes[i][aa] << " " << rhs.values_of_landscapes[i][aa] << endl; + } + return false; + } + } + } + return true; + } + + + /** + * An operator to compare two persistence landscapes. + **/ + bool operator != ( const Persistence_landscape_on_grid& rhs )const + { + return !((*this) == rhs); + } + + + /** + * Computations of maximum (y) value of landscape. + **/ + double compute_maximum()const + { + //since the function can only be entirely positive or negative, the maximal value will be an extremal value in the arrays: + double max_value = -std::numeric_limits::max(); + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + if ( this->values_of_landscapes[i].size() ) + { + if ( this->values_of_landscapes[i][0] > max_value )max_value = this->values_of_landscapes[i][0]; + if ( this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ] > max_value )max_value = this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ]; + } + } + return max_value; + } + + /** + * Computations of minimum and maximum value of landscape. + **/ + std::pair compute_minimum_maximum()const + { + //since the function can only be entirely positive or negative, the maximal value will be an extremal value in the arrays: + double max_value = -std::numeric_limits::max(); + double min_value = 0; + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + if ( this->values_of_landscapes[i].size() ) + { + if ( this->values_of_landscapes[i][0] > max_value )max_value = this->values_of_landscapes[i][0]; + if ( this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ] > max_value )max_value = this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ]; + + if ( this->values_of_landscapes[i][0] < min_value )min_value = this->values_of_landscapes[i][0]; + if ( this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ] < min_value )min_value = this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ]; + } + } + return std::make_pair(min_value , max_value); + } + + /** + * This function computes maximal lambda for which lambda-level landscape is nonzero. + **/ + size_t number_of_nonzero_levels()const + { + size_t result = 0; + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + if ( this->values_of_landscapes[i].size() > result )result = this->values_of_landscapes[i].size(); + } + return result; + } + + /** + * Computations of a L^i norm of landscape, where i is the input parameter. + **/ + double compute_norm_of_landscape( double i ) + { + std::vector< std::pair< double , double > > p; + Persistence_landscape_on_grid l(p,this->grid_min,this->grid_max,this->values_of_landscapes.size()-1); + + if ( i != -1 ) + { + return compute_discance_of_landscapes_on_grid(*this,l,i); + } + else + { + return compute_max_norm_discance_of_landscapes(*this,l); + } + } + + /** + * An operator to compute the value of a landscape in the level 'level' at the argument 'x'. + **/ + double operator()(unsigned level,double x)const{return this->compute_value_at_a_given_point(level,x);} + + /** + * Computations of L^{\infty} distance between two landscapes. + **/ + friend double compute_max_norm_discance_of_landscapes( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second ); + //friend double compute_max_norm_discance_of_landscapes( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second , unsigned& nrOfLand , double&x , double& y1, double& y2 ); + + + + + /** + * Function to compute absolute value of a PL function. The representation of persistence landscapes allow to store general PL-function. When computing distance betwen two landscapes, we compute difference between + * them. In this case, a general PL-function with negative value can appear as a result. Then in order to compute distance, we need to take its absolute value. This is the purpose of this procedure. + **/ + void abs() + { + //Be careful here. We assume that the functions are either entirely positive or negative. They do not change signs. That is why I can implemnt abs in the way presented below: + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->values_of_landscapes[i].size() ; ++j ) + { + this->values_of_landscapes[i][j] = std::abs( this->values_of_landscapes[i][j] ); + } + } + } + + /** + * Computes the number of landscape functions. + **/ + size_t size()const{return this->number_of_nonzero_levels(); } + + /** + * Computate maximal value of lambda-level landscape. + **/ + double find_max( unsigned lambda )const + { + double max_value = -std::numeric_limits::max(); + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + if ( this->values_of_landscapes[i].size() > lambda ) + { + if ( this->values_of_landscapes[i][lambda] > max_value )max_value = this->values_of_landscapes[i][lambda]; + } + } + return max_value; + } + + /** + * Function to compute inner (scalar) product of two landscapes. + **/ + friend double compute_inner_product( const Persistence_landscape_on_grid& l1 , const Persistence_landscape_on_grid& l2 ) + { + if ( !check_if_defined_on_the_same_domain(l1,l2) )throw "Landscapes are not defined on the same grid, the program will now terminate"; + size_t maximal_level = l1.number_of_nonzero_levels(); + double result = 0; + for ( size_t i = 0 ; i != maximal_level ; ++i ) + { + result += compute_inner_product(l1,l2,i); + } + return result; + } + + + +//SOMETHIND IS WRONG OVER HERE!!! THE SCALAR PRODUC DEPENDS A LOT ON THE RESOLUTION OF A GRID> THIS SHOULD NOT BE LIKE THIS!!! + /** + * Function to compute inner (scalar) product of given levels of two landscapes. + **/ + friend double compute_inner_product( const Persistence_landscape_on_grid& l1 , const Persistence_landscape_on_grid& l2 , size_t level ) + { + if ( !check_if_defined_on_the_same_domain(l1,l2) )throw "Landscapes are not defined on the same grid, the program will now terminate"; + double result = 0; + + double dx = (l1.grid_max - l1.grid_min)/(double)(l1.values_of_landscapes.size()-1); + + double previous_x = l1.grid_min-dx; + double previous_y_l1 = 0; + double previous_y_l2 = 0; + for ( size_t i = 0 ; i != l1.values_of_landscapes.size() ; ++i ) + { + double current_x = previous_x + dx; + double current_y_l1 = 0; + if ( l1.values_of_landscapes[i].size() > level )current_y_l1 = l1.values_of_landscapes[i][level]; + + double current_y_l2 = 0; + if ( l2.values_of_landscapes[i].size() > level )current_y_l2 = l2.values_of_landscapes[i][level]; + + std::pair l1_coords = compute_parameters_of_a_line( std::make_pair( previous_x , previous_y_l1 ) , std::make_pair( current_x , current_y_l1 ) ); + std::pair l2_coords = compute_parameters_of_a_line( std::make_pair( previous_x , previous_y_l2 ) , std::make_pair( current_x , current_y_l2 ) ); + + //let us assume that the first line is of a form y = ax+b, and the second one is of a form y = cx + d. Then here are a,b,c,d: + double a = l1_coords.first; + double b = l1_coords.second; + + double c = l2_coords.first; + double d = l2_coords.second; + + //now, to compute the inner product in this interval we need to compute the integral of (ax+b)(cx+d) = acx^2 + (ad+bc)x + bd in the interval from previous_x to current_x: + //The integal is ac/3*x^3 + (ac+bd)/2*x^2 + bd*x + + result += a*c/3*current_x*current_x*current_x + (a*c+b*d)/2*current_x*current_x + b*d*current_x- + a*c/3*previous_x*previous_x*previous_x + (a*c+b*d)/2*previous_x*previous_x + b*d*previous_x; + + previous_x = current_x; + previous_y_l1 = current_y_l1; + previous_y_l2 = current_y_l2; + + } + return result; + } + + + + + //concretization of abstract functions: + + /** + * The number of projections to R is defined to the number of nonzero landscape functions. I-th projection is an integral of i-th landscape function over whole R. + **/ + double project_to_R( int number_of_function ) + { + return this->compute_integral_of_landscape( (size_t)number_of_function ); + } + + std::vector vectorize( int number_of_function ) + { + //TODO, think of something smarter over here + if ( ( number_of_function < 0 ) || ( (size_t)number_of_function >= this->values_of_landscapes.size() ) ) + { + throw "Wrong number of function\n"; + } + std::vector v = this->values_of_landscapes[ number_of_function ]; + return v; + } + void compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ) + { + + bool dbg = false; + //After execution of this procedure, the average is supposed to be in the current object. To make sure that this is the case, we need to do some cleaning first. + this->values_of_landscapes.clear(); + this->grid_min = this->grid_max = 0; + + //if there is nothing to averate, then the average is a zero landscape. + if ( to_average.size() == 0 )return; + + //now we need to check if the grids in all objects of to_average are the same: + for ( size_t i = 0 ; i != to_average.size() ; ++i ) + { + if ( !check_if_defined_on_the_same_domain(*((Persistence_landscape_on_grid*)(to_average[0])),*((Persistence_landscape_on_grid*)(to_average[i]))) )throw "Two grids are not compatible"; + } + + this->values_of_landscapes = std::vector< std::vector >( ((Persistence_landscape_on_grid*)(to_average[0]))->values_of_landscapes.size() ); + this->grid_min = ((Persistence_landscape_on_grid*)(to_average[0]))->grid_min; + this->grid_max = ((Persistence_landscape_on_grid*)(to_average[0]))->grid_max; + + if ( dbg ) + { + cerr << "Computations of average. The data from the current landscape have been cleared. We are ready to do the computations. \n"; + } + + //for every point in the grid: + for ( size_t grid_point = 0 ; grid_point != ((Persistence_landscape_on_grid*)(to_average[0]))->values_of_landscapes.size() ; ++grid_point ) + { + + //set up a vector of the correct size: + size_t maximal_size_of_vector = 0; + for ( size_t land_no = 0 ; land_no != to_average.size() ; ++land_no ) + { + if ( ((Persistence_landscape_on_grid*)(to_average[land_no]))->values_of_landscapes[grid_point].size() > maximal_size_of_vector ) + maximal_size_of_vector = ((Persistence_landscape_on_grid*)(to_average[land_no]))->values_of_landscapes[grid_point].size(); + } + this->values_of_landscapes[grid_point] = std::vector( maximal_size_of_vector ); + + if ( dbg ) + { + cerr << "We are considering the point : " << grid_point << " of the grid. In this point, there are at most : " << maximal_size_of_vector << " nonzero landscape functions \n"; + } + + //and compute an arythmetic average: + for ( size_t land_no = 0 ; land_no != to_average.size() ; ++land_no ) + { + //summing: + for ( size_t i = 0 ; i != ((Persistence_landscape_on_grid*)(to_average[land_no]))->values_of_landscapes[grid_point].size() ; ++i ) + { + //compute the average in a smarter way. + this->values_of_landscapes[grid_point][i] += ((Persistence_landscape_on_grid*)(to_average[land_no]))->values_of_landscapes[grid_point][i]; + } + } + //normalizing: + for ( size_t i = 0 ; i != this->values_of_landscapes[grid_point].size() ; ++i ) + { + this->values_of_landscapes[grid_point][i] /= (double)to_average.size(); + } + } + }//compute_average + + + /** + * Computations of L^{p} distance between two landscapes on a grid. p is the parameter of the procedure. + **/ + friend double compute_discance_of_landscapes_on_grid( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second , int p ) + { + bool dbg = false; + //This is what we want to compute: (\int_{- \infty}^{+\infty}| first-second |^p)^(1/p). We will do it one step at a time: + + if ( dbg ) + { + cerr << "first : " << first << endl; + cerr << "second : " << second << endl; + getchar(); + } + + //first-second : + Persistence_landscape_on_grid lan = first-second; + + if ( dbg ) + { + cerr << "Difference : " << lan << endl; + } + + //| first-second |: + lan.abs(); + + if ( dbg ) + { + cerr << "Abs : " << lan << endl; + } + + if ( p != -1 ) + { + //\int_{- \infty}^{+\infty}| first-second |^p + double result; + if ( p != 1 ) + { + if (dbg){cerr << "p : " << p << endl; getchar();} + result = lan.compute_integral_of_landscape( (double)p ); + if (dbg){cerr << "integral : " << result << endl;getchar();} + } + else + { + result = lan.compute_integral_of_landscape(); + if (dbg){cerr << "integral, wihtout power : " << result << endl;getchar();} + } + //(\int_{- \infty}^{+\infty}| first-second |^p)^(1/p) + return pow( result , 1/(double)p ); + } + else + { + //p == -1 + return lan.compute_maximum(); + } + } + + + double distance( const Abs_Topological_data_with_distances* second , double power = 1 ) + { + if ( power != -1 ) + { + return compute_discance_of_landscapes_on_grid( *this , *((Persistence_landscape_on_grid*)second) , power ); + } + else + { + return compute_max_norm_discance_of_landscapes( *this , *((Persistence_landscape_on_grid*)second) ); + } + } + + + double compute_scalar_product( const Abs_Topological_data_with_scalar_product* second ) + { + return compute_inner_product( (*this) , *((Persistence_landscape_on_grid*)second) ); + } + + + std::vector< std::vector< double > > output_for_visualization() + { + return this->values_of_landscapes; + } + + + //a function used to create a gnuplot script for visualization of landscapes + void plot( const char* filename , size_t from_ = std::numeric_limits::max(), size_t to_ = std::numeric_limits::max() ); + + +private: + double grid_min; + double grid_max; + std::vector< std::vector< double > > values_of_landscapes; + + void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() + { + //warning, this function can be only called after filling in the values_of_landscapes vector. + this->number_of_functions_for_vectorization = this->values_of_landscapes.size(); + this->number_of_functions_for_projections_to_reals = this->values_of_landscapes.size(); + } + + void set_up_values_of_landscapes( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_ ); + template < typename oper > friend Persistence_landscape_on_grid operation_on_pair_of_landscapes_on_grid( const Persistence_landscape_on_grid& land1 , const Persistence_landscape_on_grid& land2 ); + Persistence_landscape_on_grid multiply_lanscape_by_real_number_not_overwrite( double x )const; +}; + + +void Persistence_landscape_on_grid::set_up_values_of_landscapes( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_ ) +{ + bool dbg = false; + if ( dbg ) + { + std::cerr << "Here is the procedure : set_up_values_of_landscapes. The parameters are : grid_min_ : " << grid_min_ << ", grid_max_ : " << grid_max_ << ", number_of_points_ : " << number_of_points_ << endl; + //getchar(); + std::cerr << "Here are the intervals at our disposal : \n"; + for ( size_t i = 0 ; i != p.size() ; ++i ) + { + std::cerr << p[i].first << " , " << p[i].second << endl; + } + } + + this->values_of_landscapes = std::vector< std::vector< double > >( number_of_points_+1 ); + this->grid_min = grid_min_; + this->grid_max = grid_max_; + + if ( grid_max_ <= grid_min_ ) + { + throw "Wrong parameters of grid_min and grid_max given to the procedure. THe grid have negative, or zero size. The program will now terminate.\n"; + } + + double dx = ( grid_max_ - grid_min_ )/(double)(number_of_points_); + //for every interval in the diagram: + for ( size_t int_no = 0 ; int_no != p.size() ; ++int_no ) + { + size_t grid_interval_begin = (p[int_no].first-grid_min_)/dx; + size_t grid_interval_end = (p[int_no].second-grid_min_)/dx; + size_t grid_interval_midpoint = (size_t)(0.5*(grid_interval_begin+grid_interval_end)); + + if ( dbg ) + { + cerr << "Considering an interval : " << p[int_no].first << "," << p[int_no].second << endl; + + std::cerr << "grid_interval_begin : " << grid_interval_begin << std::endl; + std::cerr << "grid_interval_end : " << grid_interval_end << std::endl; + std::cerr << "grid_interval_midpoint : " << grid_interval_midpoint << std::endl; + } + + double landscape_value = dx; + for ( size_t i = grid_interval_begin+1 ; i < grid_interval_midpoint ; ++i ) + { + if ( dbg ) + { + std::cerr << "Adding landscape value (going up) for a point : " << i << " equal : " << landscape_value << std::endl; + } + this->values_of_landscapes[i].push_back( landscape_value ); + landscape_value += dx; + } + for ( size_t i = grid_interval_midpoint ; i <= grid_interval_end ; ++i ) + { + if ( landscape_value > 0 ) + { + this->values_of_landscapes[i].push_back( landscape_value ); + if ( dbg ) + { + std::cerr << "AAdding landscape value (going down) for a point : " << i << " equal : " << landscape_value << std::endl; + } + } + landscape_value -= dx; + } + } + + //and now we need to sort the valuesL + for ( size_t pt = 0 ; pt != this->values_of_landscapes.size() ; ++pt ) + { + std::sort( this->values_of_landscapes[pt].begin() , this->values_of_landscapes[pt].end() , greater() ); + } +}//set_up_values_of_landscapes + +Persistence_landscape_on_grid::Persistence_landscape_on_grid( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_ ) +{ + this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ ); +}//Persistence_landscape_on_grid + +Persistence_landscape_on_grid& Persistence_landscape_on_grid::operator=( const Persistence_landscape_on_grid& org ) +{ + this->grid_min = org.grid_min; + this->grid_max = org.grid_max; + this->values_of_landscapes = org.values_of_landscapes; + return (*this); +}//operator= + +Persistence_landscape_on_grid::Persistence_landscape_on_grid(const Persistence_landscape_on_grid& org) +{ + this->grid_min = org.grid_min; + this->grid_max = org.grid_max; + this->values_of_landscapes = org.values_of_landscapes; +}//copy constructor + +Persistence_landscape_on_grid::Persistence_landscape_on_grid(const char* filename , double grid_min_, double grid_max_ , size_t number_of_points_ , size_t dimension ) +{ + //standard file with barcode + std::vector< std::pair< double , double > > p = read_standard_file( filename ); + //gudhi file with barcode + //std::vector< std::pair< double , double > > p = read_gudhi_file( filename , dimension ); + + this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ ); +} + +Persistence_landscape_on_grid::Persistence_landscape_on_grid(const char* filename , size_t number_of_points_ ) +{ + //standard file with barcode + std::vector< std::pair< double , double > > p = read_standard_file( filename ); + //gudhi file with barcode + //std::vector< std::pair< double , double > > p = read_gudhi_file( filename , dimension ); + + double grid_min_ = std::numeric_limits::max(); + double grid_max_ = -std::numeric_limits::max(); + for ( size_t i = 0 ; i != p.size() ; ++i ) + { + if ( p[i].first < grid_min_ )grid_min_ = p[i].first; + if ( p[i].second > grid_max_ )grid_max_ = p[i].second; + } + this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ ); +} + +void Persistence_landscape_on_grid::load_landscape_from_file( const char* filename ) +{ + //check if the file exist. + if ( !( access( filename, F_OK ) != -1 ) ) + { + cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; + } + std::ifstream in; + in.open( filename ); + + size_t number_of_points_in_the_grid = 0; + in >> this->grid_min >> this->grid_max >> number_of_points_in_the_grid; + + std::vector< std::vector< double > > v(number_of_points_in_the_grid); + std::string line; + std::getline(in, line); + double number; + for ( size_t i = 0 ; i != number_of_points_in_the_grid ; ++i ) + { + //read a line of a file and convert it to a vector. + std::vector< double > vv; + std::getline(in, line); + //cerr << "Reading line : " << line << endl;getchar(); + std::istringstream stream(line); + while (stream >> number) + { + vv.push_back(number); + } + v[i] = vv; + } + this->values_of_landscapes = v; + in.close(); +} + +void Persistence_landscape_on_grid::print_to_file( const char* filename )const +{ + std::ofstream out; + out.open( filename ); + + //first we store the parameters of the grid: + out << grid_min << std::endl << grid_max << std::endl << this->values_of_landscapes.size() << std::endl; + + //and now in the following lines, the values of this->values_of_landscapes for the following arguments: + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->values_of_landscapes[i].size() ; ++j ) + { + out << this->values_of_landscapes[i][j] << " "; + } + out << std::endl; + } + + out.close(); +} + +void Persistence_landscape_on_grid::plot( const char* filename , size_t from_ , size_t to_ ) +{ + //this program create a gnuplot script file that allows to plot persistence diagram. + ofstream out; + + std::ostringstream nameSS; + nameSS << filename << "_GnuplotScript"; + std::string nameStr = nameSS.str(); + out.open( (char*)nameStr.c_str() ); + + std::pair min_max = compute_minimum_maximum(); + out << "set xrange [" << this->grid_min << " : " << this->grid_max << "]" << endl; + out << "set yrange [" << min_max.first << " : " << min_max.second << "]" << endl; + + size_t number_of_nonzero_levels = this->number_of_nonzero_levels(); + double dx = ( this->grid_max - this->grid_min )/((double)this->values_of_landscapes.size()-1); + + + size_t from = 0; + if ( from_ != std::numeric_limits::max() ) + { + if ( from_ < number_of_nonzero_levels ) + { + from = from_; + } + else + { + return; + } + } + size_t to = number_of_nonzero_levels; + if ( to_ != std::numeric_limits::max() ) + { + if ( to_ < number_of_nonzero_levels ) + { + to = to_; + } + } + + + out << "plot "; + for ( size_t lambda= from ; lambda != to ; ++lambda ) + { + //out << " '-' using 1:2 title 'l" << lambda << "' with lp"; + out << " '-' using 1:2 notitle with lp"; + if ( lambda+1 != to ) + { + out << ", \\"; + } + out << endl; + } + + for ( size_t lambda = from ; lambda != to ; ++lambda ) + { + double point = this->grid_min; + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + double value = 0; + if ( this->values_of_landscapes[i].size() > lambda ) + { + value = this->values_of_landscapes[i][lambda]; + } + out << point << " " << value << endl; + point += dx; + } + out << "EOF" << endl; + } + cout << "Gnuplot script to visualize persistence diagram written to the file: " << nameStr << ". Type load '" << nameStr << "' in gnuplot to visualize." << endl; +} + +template < typename T > +Persistence_landscape_on_grid operation_on_pair_of_landscapes_on_grid ( const Persistence_landscape_on_grid& land1 , const Persistence_landscape_on_grid& land2 ) +{ + //first we need to check if the domains are the same: + if ( !check_if_defined_on_the_same_domain(land1,land2) )throw "Two grids are not compatible"; + + T oper; + Persistence_landscape_on_grid result; + result.values_of_landscapes = std::vector< std::vector< double > >( land1.values_of_landscapes.size() ); + result.grid_min = land1.grid_min; + result.grid_max = land1.grid_max; + + //now we perorm the operations: + for ( size_t grid_point = 0 ; grid_point != land1.values_of_landscapes.size() ; ++grid_point ) + { + result.values_of_landscapes[grid_point] = std::vector< double >( std::max( land1.values_of_landscapes[grid_point].size() , land2.values_of_landscapes[grid_point].size() ) ); + for ( size_t lambda = 0 ; lambda != std::max( land1.values_of_landscapes[grid_point].size() , land2.values_of_landscapes[grid_point].size() ) ; ++lambda ) + { + double value1 = 0; + double value2 = 0; + if ( lambda < land1.values_of_landscapes[grid_point].size() )value1 = land1.values_of_landscapes[grid_point][lambda]; + if ( lambda < land2.values_of_landscapes[grid_point].size() )value2 = land2.values_of_landscapes[grid_point][lambda]; + result.values_of_landscapes[grid_point][lambda] = oper( value1 , value2 ); + } + } + + return result; +} + +Persistence_landscape_on_grid Persistence_landscape_on_grid::multiply_lanscape_by_real_number_not_overwrite( double x )const +{ + Persistence_landscape_on_grid result; + result.values_of_landscapes = std::vector< std::vector< double > >( this->values_of_landscapes.size() ); + result.grid_min = this->grid_min; + result.grid_max = this->grid_max; + + for ( size_t grid_point = 0 ; grid_point != this->values_of_landscapes.size() ; ++grid_point ) + { + result.values_of_landscapes[grid_point] = std::vector< double >( this->values_of_landscapes[grid_point].size() ); + for ( size_t i = 0 ; i != this->values_of_landscapes[grid_point].size() ; ++i ) + { + result.values_of_landscapes[grid_point][i] = x*this->values_of_landscapes[grid_point][i]; + } + } + + return result; +} + +double compute_max_norm_discance_of_landscapes( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second ) +{ + double result = 0; + + //first we need to check if first and second is defined on the same domain" + if ( !check_if_defined_on_the_same_domain(first, second) )throw "Two grids are not compatible"; + + for ( size_t i = 0 ; i != first.values_of_landscapes.size() ; ++i ) + { + for ( size_t j = 0 ; j != std::min( first.values_of_landscapes[i].size() , second.values_of_landscapes[i].size() ) ; ++j ) + { + if ( result < abs( first.values_of_landscapes[i][j] - second.values_of_landscapes[i][j] ) ) + { + result = abs( first.values_of_landscapes[i][j] - second.values_of_landscapes[i][j] ); + } + } + if ( first.values_of_landscapes[i].size() == std::min( first.values_of_landscapes[i].size() , second.values_of_landscapes[i].size() ) ) + { + for ( size_t j = first.values_of_landscapes[i].size() ; j != second.values_of_landscapes[i].size() ; ++j ) + { + if ( result < second.values_of_landscapes[i][j] )result = second.values_of_landscapes[i][j]; + } + } + if ( second.values_of_landscapes[i].size() == std::min( first.values_of_landscapes[i].size() , second.values_of_landscapes[i].size() ) ) + { + for ( size_t j = second.values_of_landscapes[i].size() ; j != first.values_of_landscapes[i].size() ; ++j ) + { + if ( result < first.values_of_landscapes[i][j] )result = first.values_of_landscapes[i][j]; + } + } + } + return result; +} + + + +}//namespace Gudhi_stat +}//namespace Gudhi + +#endif diff --git a/src/Gudhi_stat/test/data/aaaa b/src/Gudhi_stat/test/data/aaaa new file mode 100644 index 00000000..41069a90 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-0.0199573 -0.0199573 -0.0199573 +0.0199573 0.0199573 0.0199573 0.0199573 0.0199573 -6.93889e-18 -6.93889e-18 -6.93889e-18 -6.93889e-18 -6.245e-17 -6.245e-17 -6.245e-17 -6.245e-17 -6.245e-17 -6.245e-17 -6.245e-17 -0.0199573 -0.0199573 -0.0199573 -0.0199573 -0.0199573 -0.0199573 -0.0199573 -0.0199573 -0.0199573 +-6.93889e-18 -6.245e-17 -6.245e-17 -6.245e-17 -6.245e-17 -0.0199573 -0.0199573 -0.0199573 -0.0199573 -0.0199573 +-0.0199573 diff --git a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp new file mode 100644 index 00000000..3f19d14d --- /dev/null +++ b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp @@ -0,0 +1,253 @@ +/* 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 Sophia-Saclay (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 "gudhi_stat" +#include +#include +#include +#include + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + + +double epsilon = 0.0000005; + +using namespace std; + + + + +BOOST_AUTO_TEST_CASE(check_construction_of_landscape) +{ + Persistence_landscape_on_grid l( "data/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" ); + + BOOST_CHECK( l == g ); +} + + +BOOST_AUTO_TEST_CASE(check_computations_of_integrals) +{ + Persistence_landscape_on_grid p( "data/file_with_diagram_1" , 100 ); + 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::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::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::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 ); + Persistence_landscape_on_grid second("data/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; ; + + + 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_discance_of_landscapes_on_grid(p,sum,1) << endl; + //cerr << compute_discance_of_landscapes_on_grid(p,sum,2) << endl; + //cerr << compute_discance_of_landscapes_on_grid(p,sum,-1) << 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_discance_of_landscapes_on_grid(p,sum,1) - 16.8519 ) <= 0.00005 ); + BOOST_CHECK( fabs( compute_discance_of_landscapes_on_grid(p,sum,2) - 1.44542 ) <= 0.00001 ); + BOOST_CHECK( fabs(compute_discance_of_landscapes_on_grid(p,sum,-1) - 0.45 ) <= 0.00001 ); +} + + + + +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 ); + std::vector< Abs_Topological_data_with_averages* > to_average; + to_average.push_back( &p ); + to_average.push_back( &q ); + Persistence_landscape_on_grid av; + av.compute_average( to_average ); + + 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 , -1 )-0.359 ) <= 0.00001 ); +} + + +BOOST_AUTO_TEST_CASE(check_computations_of_scalar_product) +{ + Persistence_landscape p( "data/file_with_diagram" ); + Persistence_landscape q( "data/file_with_diagram_1" ); + BOOST_CHECK( fabs( p.compute_scalar_product( &q ) - 0.754498 ) <= 0.00001 ); +} + + -- cgit v1.2.3 From 4b8808e1f5c31634d00e7440d3d93cb37da0bf6f Mon Sep 17 00:00:00 2001 From: pdlotko Date: Wed, 21 Sep 2016 10:57:55 +0000 Subject: First compiling version of the implementation of heat maps. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1524 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 406f6c793ee240b5cfbd99c0391b2fe327148dc0 --- src/Gudhi_stat/example/CMakeLists.txt | 2 + .../gudhi/concretizations/Persistence_heat_maps.h | 410 ++++++++++++++++----- 2 files changed, 329 insertions(+), 83 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/CMakeLists.txt b/src/Gudhi_stat/example/CMakeLists.txt index 0229ba7c..1e6062fb 100644 --- a/src/Gudhi_stat/example/CMakeLists.txt +++ b/src/Gudhi_stat/example/CMakeLists.txt @@ -25,3 +25,5 @@ target_link_libraries( plot_persistence_intervals ${Boost_SYSTEM_LIBRARY}) add_executable ( vector_representation vector_representation.cpp ) target_link_libraries(vector_representation ${Boost_SYSTEM_LIBRARY}) +add_executable ( persistence_heat_maps persistence_heat_maps.cpp ) +target_link_libraries(persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h index c3c665b2..c1151ae4 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h @@ -20,22 +20,36 @@ * along with this program. If not, see . */ - - //standard include #include #include #include +#include //gudhi include -#include "read_persitence_from_file.h" -#include "Distances_of_points_in_diagram.h" +#include +#include +#include +#include +#include +#include + using namespace std; +namespace Gudhi +{ +namespace Gudhi_stat +{ + + +/** + * This is a simple procedure to create n by n (or 2*pixel_radius times 2*pixel_radius. +**/ std::vector< std::vector > create_Gaussian_filter( size_t pixel_radius , double sigma ) { + bool dbg = false; //we are computing the kernel mask to 2 standard deviations away from the center. We discretize it in a grid of a size 2*pixel_radius times 2*pixel_radius. double r = 0; @@ -45,31 +59,39 @@ std::vector< std::vector > create_Gaussian_filter( size_t pixel_radius , double sum = 0; //initialization of a kernel: - std::vector< std::vector > kernel( 2*pixel_radius ); - for ( size_t i = 0 ; i != 2*pixel_radius ; ++i ) + std::vector< std::vector > kernel( 2*pixel_radius +1 ); + for ( size_t i = 0 ; i != kernel.size() ; ++i ) { - std::vector v( 2*pixel_radius , 0 ); + std::vector v( 2*pixel_radius +1 , 0 ); kernel[i] = v; } + + if ( dbg ) + { + std::cerr << "Kernel initalize \n"; + cerr << "pixel_radius : " << pixel_radius << endl; + std::cerr << "kernel.size() : " << kernel.size() << endl; + getchar(); + } - for (int x = -pixel_radius; x <= pixel_radius; x++) + for (int x = -pixel_radius; x <= (int)pixel_radius; x++) { - for(int y = -pixel_radius; y <= pixel_radius; y++) - { + for(int y = -pixel_radius; y <= (int)pixel_radius; y++) + { double real_x = 2*sigma*x/pixel_radius; double real_y = 2*sigma*y/pixel_radius; - r = sqrt(real_x*real_x + real_y*real_y); + r = sqrt(real_x*real_x + real_y*real_y); kernel[x + pixel_radius][y + pixel_radius] = (exp(-(r*r)/sigma_sqr))/(3.141592 * sigma_sqr); - sum += gKernel[x + pixel_radius][y + pixel_radius]; + sum += kernel[x + pixel_radius][y + pixel_radius]; } } // normalize the kernel - for(int i = 0; i != kernel.size() ; ++i) + for( size_t i = 0; i != kernel.size() ; ++i) { - for(int j = 0; j != kernel[i].size() ; ++j) + for( size_t j = 0; j != kernel[i].size() ; ++j) { - gKernel[i][j] /= sum; + kernel[i][j] /= sum; } } @@ -83,9 +105,17 @@ double constant_function( std::pair< double , double >& point_in_diagram ) -class Persistence_heat_maps +class Persistence_heat_maps : + public Abs_Vectorized_topological_data , + public Abs_Topological_data_with_distances , + public Abs_Real_valued_topological_data, + public Abs_Topological_data_with_averages, + public Abs_Topological_data_with_scalar_product { public: + /** + * The default constructor. A scaling function from the diagonal is set up to a constant function. The image is not erased below the diagonal. The gaussian have diameter 5. + **/ Persistence_heat_maps() { this->scalling_function_with_respect_to_distance_from_diagonal = constant_function; @@ -93,25 +123,193 @@ public: this->filter = create_Gaussian_filter(5,1); this->min_ = this->max_ = 0; }; - Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , int number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); - Persistence_heat_maps( const char* name_of_file_with_names_of_files_with_interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , int number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); + + /** + * Construction that takes at the input the following parameters: + * (1) A vector of pairs of doubles (representing persistence intervals). All other parameters are optional. They are: + * (2) a Gausian filter generated by create_Gaussian_filter filter (the default value of this vaiable is a Gaussian filter of a radius 5), + * (3) a scaling function (constant by default). This function allows to put a different weights to points depending on their position, in particular, depending on their distance from diagonal, + * (4) a boolean value which determines if the area of image below diagonal should, or should not be erased (it will be erased by default). + * (5) a number of pixels in each direction (set to 1000 by default). + * (6) a min x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data, + * (6) a max x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data. + **/ + Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); + + /** + * Construction that takes at the input a name of a file with persistence intervals, a filter (radius 5 by default), a scaling function (constant by default), a boolean value which determines if the area of image below diagonal should, or should not be erased (should by default). The next parameter is the number of pixels in each direction (set to 1000 by default). and min and max values of images (both set to -1 by defaulet. If this is the case, the program will pick the right values based on the data). + **/ + /** + * Construction that takes at the input the following parameters: + * (1) A a name of a file with persistence intervals. The file shold be readable by the function read_standard_file. All other parameters are optional. They are: + * (2) a Gausian filter generated by create_Gaussian_filter filter (the default value of this vaiable is a Gaussian filter of a radius 5), + * (3) a scaling function (constant by default). This function allows to put a different weights to points depending on their position, in particular, depending on their distance from diagonal, + * (4) a boolean value which determines if the area of image below diagonal should, or should not be erased (it will be erased by default). + * (5) a number of pixels in each direction (set to 1000 by default). + * (6) a min x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data, + * (6) a max x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data. + **/ + Persistence_heat_maps( const char* name_of_file_with_names_of_files_with_interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); - void load_mean( const std::vector& maps ); - void load_median( const std::vector& maps ); - void load_percentage_of_active( const std::vector& maps ); + /** + * Compute a mean value of a collection of heat maps and store it in the current object. Note that all the persistence maps send in a vector to this procedure need to have the same parameters. + * If this is not the case, the program will throw an exception. + **/ + void compute_mean( const std::vector& maps ); + + /** + * Compute a median value of a collection of heat maps and store it in the current object. Note that all the persistence maps send in a vector to this procedure need to have the same parameters. + * If this is not the case, the program will throw an exception. + **/ + void compute_median( const std::vector& maps ); + + /** + * Compute a percentage of active (i.e) values above the cutoff of a collection of heat maps. + **/ + void compute_percentage_of_active( const std::vector& maps , size_t cutoff = 1 ); //put to file subroutine + /** + * The function outputs the perssitence image to a text file. The format as follow: + * In the first line, the values min and max of the image are stored + * In the next lines, we have the persistence images in a form of a bitmap image. + **/ void write_to_file( const char* filename ); - //read from file subroutine + /** + * A constructor based on a data from file. It is assumed that the file is provided in a format as crated by write_to_file function. + **/ Persistence_heat_maps( const char* filename ); + + /** + * The procedure checks if min_, max_ and this->heat_maps sizes are the same. + **/ + inline bool check_if_the_same( const Persistence_heat_maps* second ) + { + if ( this->heat_map.size() != second->heat_map.size() )return false; + if ( this->min_ != second->min_ )return false; + if ( this->max_ != second->max_ )return false; + //in the other case we may assume that the persistence images are defined on the same domain. + return true; + } + + + /** + * A function to generate a gnuplot script to vizualize the persistent image. + **/ void plot( const char* filename ); + + + //Concretizations of virtual methods: + std::vector vectorize( int number_of_function ) + { + //convert this->heat_map into one large vector: + size_t size_of_result = 0; + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + size_of_result += this->heat_map[i].size(); + } + + std::vector< double > result; + result.reserve( size_of_result ); + + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + result.push_back( this->heat_map[i][j] ); + } + } + + return result; + } + + double distance( const Abs_Topological_data_with_distances* second_ , double power = 1) + { + Persistence_heat_maps* second = (Persistence_heat_maps*)second_; + + //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: + if ( !this->check_if_the_same(second) ) + { + std::cerr << "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; + throw "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; + } + + //if we are here, we know that the two persistence iomages are defined on the same domain, so we can start computing their distances: + + double distance = 0; + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + distance += pow( abs(this->heat_map[i][j] - second->heat_map[i][j]) , power ); + } + } + return distance; + } + + double project_to_R( int number_of_function ) + { + double result = 0; + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + result += this->heat_map[i][j]; + } + } + return result; + } + + void compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ) + { + std::vector maps; + maps.reserve( to_average.size() ); + for ( size_t i = 0 ; i != to_average.size() ; ++i ) + { + maps.push_back( (Persistence_heat_maps*)to_average[i] ); + } + this->compute_mean( maps ); + } + + double compute_scalar_product( const Abs_Topological_data_with_scalar_product* second_ ) + { + Persistence_heat_maps* second = (Persistence_heat_maps*)second_; + + //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: + if ( !this->check_if_the_same(second) ) + { + std::cerr << "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; + throw "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; + } + + //if we are here, we know that the two persistence iomages are defined on the same domain, so we can start computing their scalar product: + double scalar_prod = 0; + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + scalar_prod += this->heat_map[i][j]*second->heat_map[i][j]; + } + } + return scalar_prod; + } + private: //private methods std::vector< std::vector > check_and_initialize_maps( const std::vector& maps ); - void construct( const std::vector< std::pair >& intervals_ , double min_ = -1 , double max_ = -1); + void construct( const std::vector< std::pair >& intervals_ , + std::vector< std::vector > filter = create_Gaussian_filter(5,1), + double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ) = constant_function, + bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); + + void set_up_parameters_for_basic_classes() + { + this->number_of_functions_for_vectorization = 1; + this->number_of_functions_for_projections_to_reals = 1; + } //data std::vector< std::vector > filter; @@ -124,9 +322,13 @@ private: //if min_ == max_, then the program is requested to set up the values itself based on persistence intervals -void Persistence_heat_maps::construct( const std::vector< std::pair >& intervals_ , double min_ , double max_ ) +void Persistence_heat_maps::construct( const std::vector< std::pair >& intervals_ , + std::vector< std::vector > filter, + double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ), + bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) { - bool dbg = false; + bool dbg = false; + if ( dbg )std::cerr << "Eneterring construct procedure \n"; if ( min_ == max_ ) { @@ -137,8 +339,8 @@ void Persistence_heat_maps::construct( const std::vector< std::pair max_ )max_ = min_max.second; + if ( intervals_[i].first < min_ )min_ = intervals_[i].first; + if ( intervals_[i].second > max_ )max_ = intervals_[i].second; } //now we have the structure filled in, and moreover we know min_ and max_ values of the interval, so we know the range. @@ -147,7 +349,7 @@ void Persistence_heat_maps::construct( const std::vector< std::pairmin_ = min_; this->max_ = max_; + this->filter = filter; //initialization of the structure heat_map std::vector< std::vector > heat_map_; - for ( size_t i = 0 ; i != this->number_of_pixels ; ++i ) + for ( size_t i = 0 ; i != number_of_pixels ; ++i ) { - std::vector v( this->number_of_pixels , 0 ); + std::vector v( number_of_pixels , 0 ); heat_map_.push_back( v ); } this->heat_map = heat_map_; if (dbg)cerr << "Done creating of the heat map, now we will fill in the structure \n"; - //we will use this extra data structure to store the information about points in the diagram and their weights with respect to the weighting function. - std::vector< std::vector< std::vector< double > > > weights_of_points; - for ( aaa ) + for ( size_t pt_nr = 0 ; pt_nr != intervals_.size() ; ++pt_nr ) + { + //compute the value of intervals_[pt_nr] in the grid: + int x_grid = (int)(intervals_[pt_nr].first - this->min_)/( this->max_-this->min_ )*this->heat_map.size(); + int y_grid = (int)(intervals_[pt_nr].second - this->min_)/( this->max_-this->min_ )*this->heat_map.size(); + + if ( dbg ) + { + std::cerr << "point : " << intervals_[pt_nr].first << " , " << intervals_[pt_nr].second << endl; + std::cerr << "x_grid : " << x_grid << endl; + std::cerr << "y_grid : " << y_grid << endl; + } + + //x_grid and y_grid gives a center of the kernel. We want to have its lower left cordner. To get this, we need to shift x_grid and y_grid by a grid diameter. + x_grid -= this->filter.size()/2; + y_grid -= this->filter.size()/2; + //note that the numbers x_grid and y_grid may be negative. + + + for ( size_t i = 0 ; i != this->filter.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->filter.size() ; ++j ) + { + //if the point (x_grid+i,y_grid+j) is the correct point in the grid. + if ( + ((x_grid+i)>=0) && (x_grid+iheat_map.size()) + && + ((y_grid+j)>=0) && (y_grid+jheat_map.size()) + ) + { + this->heat_map[ y_grid+j ][ x_grid+i ] += this->filter[i][j]; + if ( dbg ) + { + std::cerr << "Position : (" << x_grid+i << "," << y_grid+j << ") got increased by the value : " << this->filter[i][j] << std::endl; + } + } + } + } + + } - - for ( size_t i = 0 ; i != this->number_of_pixels ; ++i ) + //now it remains to cut everything below diagonal if the user wants us to. + if ( erase_below_diagonal ) { - for ( size_t j = 0 ; j != this->number_of_pixels ; ++j ) + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) { - //compute the value of a heat map at a point [i,j]. - aaa, todo + for ( size_t j = i ; j != this->heat_map.size() ; ++j ) + { + this->heat_map[i][j] = 0; + } } } }//construct -todo -Persistence_heat_maps::Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , int number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ) + +Persistence_heat_maps::Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , + std::vector< std::vector > filter, + double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ), + bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) { - this->construct( intervals_ , min_ , max_ ); + this->construct( interval , filter , constant_function, erase_below_diagonal , number_of_pixels , min_ , max_ ); + this->set_up_parameters_for_basic_classes(); } -todo -Persistence_heat_maps::Persistence_heat_maps( const char* name_of_file_with_names_of_files_with_interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , int number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ) + +Persistence_heat_maps::Persistence_heat_maps( const char* name_of_file_with_names_of_files_with_interval , + std::vector< std::vector > filter, + double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ), + bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) { - std::vector< std::pair< double , double > > interval = read_standard_file( name_of_file_with_names_of_files_with_interval ); - this->construct( interval , min_ , max_); + std::vector< std::pair< double , double > > intervals_ = read_standard_file( name_of_file_with_names_of_files_with_interval ); + this->construct( intervals_ , filter , constant_function, erase_below_diagonal , number_of_pixels , min_ , max_ ); + this->set_up_parameters_for_basic_classes(); } -double vector_median(std::vector vec) -{ - if(vec.empty()) return 0; - else - { - std::sort(vec.begin(), vec.end()); - if(vec.size() % 2 == 0) - { - return (vec[vec.size()/2 - 1] + vec[vec.size()/2]) / 2; - } - else - { - return vec[vec.size()/2]; - } - } -} - std::vector< std::vector > Persistence_heat_maps::check_and_initialize_maps( const std::vector& maps ) { //checking if all the heat maps are of the same size: - for ( size_t i = 0 ; i != maps.heat_maps.size() ; ++i ) + for ( size_t i = 0 ; i != maps.size() ; ++i ) { - if ( maps.heat_maps[i].size() != maps.heat_maps[0].size() ) + if ( maps[i]->heat_map.size() != maps[0]->heat_map.size() ) { std::cerr << "Sizes of Persistence_heat_maps are not compatible. The program will terminate now \n"; throw "Sizes of Persistence_heat_maps are not compatible. The program will terminate now \n"; } - if ( maps.heat_maps[i][0].size() != maps.heat_maps[0][0].size() ) + if ( maps[i]->heat_map[0].size() != maps[0]->heat_map[0].size() ) { std::cerr << "Sizes of Persistence_heat_maps are not compatible. The program will terminate now \n"; throw "Sizes of Persistence_heat_maps are not compatible. The program will terminate now \n"; } } - std::vector< std::vector > heat_maps( maps.heat_maps.size() ); - for ( size_t i = 0 ; i != maps.heat_maps.size() ; ++i ) + std::vector< std::vector > heat_maps( maps[0]->heat_map.size() ); + for ( size_t i = 0 ; i != maps[0]->heat_map.size() ; ++i ) { - std::vector v( maps.heat_maps[0].size() , 0 ); + std::vector v( maps[0]->heat_map[0].size() , 0 ); heat_maps[i] = v; } return heat_maps; } -void Persistence_heat_maps::load_median( const std::vector& maps ) +void Persistence_heat_maps::compute_median( const std::vector& maps ) { std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); @@ -250,11 +483,12 @@ void Persistence_heat_maps::load_median( const std::vectorheat_map[i][j]; } - heat_maps[i][j] = std::nth_element(to_compute_median.begin(), to_compute_median.begin() + to_compute_median.size()/2, to_compute_median.end()); + std::nth_element(to_compute_median.begin(), to_compute_median.begin() + to_compute_median.size()/2, to_compute_median.end()); + heat_maps[i][j] = to_compute_median[ to_compute_median.size()/2 ]; } } this->heat_map = heat_maps; @@ -262,7 +496,7 @@ void Persistence_heat_maps::load_median( const std::vector& maps ) +void Persistence_heat_maps::compute_mean( const std::vector& maps ) { std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); @@ -272,9 +506,9 @@ void Persistence_heat_maps::load_mean( const std::vector for ( size_t j = 0 ; j != heat_map[i].size() ; ++j ) { double mean = 0; - for ( size_t aa = 0 ; aa != maps.size() ; ++aa ) + for ( size_t map_no = 0 ; map_no != maps.size() ; ++map_no ) { - mean += maps[i][j]; + mean += maps[map_no]->heat_map[i][j]; } heat_maps[i][j] = mean/(double)maps.size(); } @@ -286,7 +520,7 @@ void Persistence_heat_maps::load_mean( const std::vector -void Persistence_heat_maps::load_percentage_of_active( const std::vector maps , size_t cutoff ) +void Persistence_heat_maps::compute_percentage_of_active( const std::vector& maps , size_t cutoff ) { std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); @@ -294,14 +528,14 @@ void Persistence_heat_maps::load_percentage_of_active( const std::vectorheat_map[i].size() ; ++j ) { - int number_of_active_levels = 0; - for ( size_t k = 0 ; k != this->heat_map[j][i].size() ; ++k ) + size_t number_of_active_levels = 0; + for ( size_t map_no = 0 ; map_no != maps.size() ; ++map_no ) { - if ( this->heat_map[j][i][k] ) number_of_active_levels++; + if ( maps[map_no]->heat_map[i][j] ) number_of_active_levels++; } if ( number_of_active_levels > cutoff ) { - heat_maps[i][j] =number_of_active_levels; + heat_maps[i][j] = number_of_active_levels; } else { @@ -316,7 +550,7 @@ void Persistence_heat_maps::load_percentage_of_active( const std::vectorheat_map.size() ; ++i ) @@ -337,6 +571,9 @@ void Persistence_heat_maps::write_to_file( const char* filename ) { ofstream out; out.open( filename ); + + //First we store this->min_ and this->max_ values: + out << this->min_ << this->max_ << std::endl; for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) { for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) @@ -351,7 +588,7 @@ void Persistence_heat_maps::write_to_file( const char* filename ) Persistence_heat_maps::Persistence_heat_maps( const char* filename ) { - bool dbg = true; + bool dbg = false; ifstream in; in.open( filename ); @@ -368,14 +605,16 @@ Persistence_heat_maps::Persistence_heat_maps( const char* filename ) while (!in.eof()) { + in >> this->min_ >> this->max_; getline(in,line); std::stringstream lineSS; lineSS << line; - std::vector< std::vector > line_of_heat_map; + std::vector line_of_heat_map; while ( lineSS.good() ) { double point; + lineSS >> point; line_of_heat_map.push_back( point ); if ( dbg ) @@ -393,3 +632,8 @@ Persistence_heat_maps::Persistence_heat_maps( const char* filename ) in.close(); if ( dbg )std::cout << "Done \n"; } + + + +}//namespace Gudhi_stat +}//namespace Gudhi -- cgit v1.2.3 From 048eb8b5decf397d1d1f193d50049bcc6ca308c2 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Wed, 21 Sep 2016 12:52:57 +0000 Subject: A few more changes for persistence heat maps. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1527 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 91bbfb521a74b0c8683bac4a605d50cf672638c8 --- src/Gudhi_stat/example/persistence_heat_maps.cpp | 108 +++ .../gudhi/concretizations/Persistence_heat_maps.h | 95 +- .../gudhi/concretizations/Persistence_landscapes.h | 15 +- src/Gudhi_stat/test/CMakeLists.txt | 20 + .../persistence_heat_map_from_file_with_diagram | 1001 ++++++++++++++++++++ src/Gudhi_stat/test/persistence_heat_maps_test.cpp | 56 ++ .../test/persistence_lanscapes_on_grid_test.cpp | 5 +- 7 files changed, 1254 insertions(+), 46 deletions(-) create mode 100644 src/Gudhi_stat/example/persistence_heat_maps.cpp create mode 100644 src/Gudhi_stat/test/data/persistence_heat_map_from_file_with_diagram create mode 100644 src/Gudhi_stat/test/persistence_heat_maps_test.cpp (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/persistence_heat_maps.cpp b/src/Gudhi_stat/example/persistence_heat_maps.cpp new file mode 100644 index 00000000..475569c8 --- /dev/null +++ b/src/Gudhi_stat/example/persistence_heat_maps.cpp @@ -0,0 +1,108 @@ +/* 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 Sophia-Saclay (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 + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + + +double epsilon = 0.0000005; + +using namespace std; + + +int main( int argc , char** argv ) +{ + //if ( argc != 2 ) + //{ + // cout << "To run this program, please provide the name of a file with persistence diagram \n"; + // return 1; + //} + +/* + 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.write_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; +*/ + + + + + + + + return 0; +} + + + + + + + diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h index c1151ae4..f6b17915 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h @@ -33,6 +33,7 @@ #include #include #include +#include @@ -119,9 +120,9 @@ public: Persistence_heat_maps() { this->scalling_function_with_respect_to_distance_from_diagonal = constant_function; - this->erase_below_diagonal = false; - this->filter = create_Gaussian_filter(5,1); + this->erase_below_diagonal = false; this->min_ = this->max_ = 0; + this->set_up_parameters_for_basic_classes(); }; /** @@ -178,22 +179,46 @@ public: void write_to_file( const char* filename ); /** - * A constructor based on a data from file. It is assumed that the file is provided in a format as crated by write_to_file function. + * A function that load a heat map from file to the current object (and arase qhatever was stored in the current object before). **/ - Persistence_heat_maps( const char* filename ); + void load_from_file( const char* filename ); /** * The procedure checks if min_, max_ and this->heat_maps sizes are the same. **/ - inline bool check_if_the_same( const Persistence_heat_maps* second ) + inline bool check_if_the_same( const Persistence_heat_maps& second ) { - if ( this->heat_map.size() != second->heat_map.size() )return false; - if ( this->min_ != second->min_ )return false; - if ( this->max_ != second->max_ )return false; + if ( this->heat_map.size() != second.heat_map.size() )return false; + if ( this->min_ != second.min_ )return false; + if ( this->max_ != second.max_ )return false; //in the other case we may assume that the persistence images are defined on the same domain. return true; } + + /** + * Operator == to check if to persistence heat maps are the same. + **/ + bool operator == ( const Persistence_heat_maps& rhs ) + { + if ( !this->check_if_the_same(rhs) ) return false;//in this case, the domains are not the same, so the maps cannot be the same. + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + if ( !almost_equal(this->heat_map[i][j] , rhs.heat_map[i][j]) )return false; + } + } + return true; + } + + /** + * Operator != to check if to persistence heat maps are different. + **/ + bool operator != ( const Persistence_heat_maps& rhs ) + { + return !( (*this) == rhs ); + } /** @@ -231,7 +256,7 @@ public: Persistence_heat_maps* second = (Persistence_heat_maps*)second_; //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: - if ( !this->check_if_the_same(second) ) + if ( !this->check_if_the_same(*second) ) { std::cerr << "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; throw "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; @@ -279,7 +304,7 @@ public: Persistence_heat_maps* second = (Persistence_heat_maps*)second_; //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: - if ( !this->check_if_the_same(second) ) + if ( !this->check_if_the_same(*second) ) { std::cerr << "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; throw "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; @@ -311,8 +336,7 @@ private: this->number_of_functions_for_projections_to_reals = 1; } - //data - std::vector< std::vector > filter; + //data double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ); bool erase_below_diagonal; double min_; @@ -353,11 +377,12 @@ void Persistence_heat_maps::construct( const std::vector< std::pairmin_ = min_; - this->max_ = max_; - this->filter = filter; + this->max_ = max_; //initialization of the structure heat_map @@ -374,8 +399,8 @@ void Persistence_heat_maps::construct( const std::vector< std::pairmin_)/( this->max_-this->min_ )*this->heat_map.size(); - int y_grid = (int)(intervals_[pt_nr].second - this->min_)/( this->max_-this->min_ )*this->heat_map.size(); + int x_grid = (int)((intervals_[pt_nr].first - this->min_)/( this->max_-this->min_ )*number_of_pixels); + int y_grid = (int)((intervals_[pt_nr].second - this->min_)/( this->max_-this->min_ )*number_of_pixels); if ( dbg ) { @@ -385,14 +410,14 @@ void Persistence_heat_maps::construct( const std::vector< std::pairfilter.size()/2; - y_grid -= this->filter.size()/2; + x_grid -= filter.size()/2; + y_grid -= filter.size()/2; //note that the numbers x_grid and y_grid may be negative. - for ( size_t i = 0 ; i != this->filter.size() ; ++i ) + for ( size_t i = 0 ; i != filter.size() ; ++i ) { - for ( size_t j = 0 ; j != this->filter.size() ; ++j ) + for ( size_t j = 0 ; j != filter.size() ; ++j ) { //if the point (x_grid+i,y_grid+j) is the correct point in the grid. if ( @@ -401,10 +426,10 @@ void Persistence_heat_maps::construct( const std::vector< std::pair=0) && (y_grid+jheat_map.size()) ) { - this->heat_map[ y_grid+j ][ x_grid+i ] += this->filter[i][j]; + this->heat_map[ y_grid+j ][ x_grid+i ] += filter[i][j]; if ( dbg ) { - std::cerr << "Position : (" << x_grid+i << "," << y_grid+j << ") got increased by the value : " << this->filter[i][j] << std::endl; + std::cerr << "Position : (" << x_grid+i << "," << y_grid+j << ") got increased by the value : " << filter[i][j] << std::endl; } } } @@ -573,7 +598,7 @@ void Persistence_heat_maps::write_to_file( const char* filename ) out.open( filename ); //First we store this->min_ and this->max_ values: - out << this->min_ << this->max_ << std::endl; + out << this->min_ << " " << this->max_ << std::endl; for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) { for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) @@ -586,9 +611,9 @@ void Persistence_heat_maps::write_to_file( const char* filename ) } -Persistence_heat_maps::Persistence_heat_maps( const char* filename ) +void Persistence_heat_maps::load_from_file( const char* filename ) { - bool dbg = false; + bool dbg = false; ifstream in; in.open( filename ); @@ -601,14 +626,23 @@ Persistence_heat_maps::Persistence_heat_maps( const char* filename ) } //now we read the file one by one. - std::string line; + + + in >> this->min_ >> this->max_; + if ( dbg ) + { + std::cerr << "Reading the following values of min and max : " << this->min_ << " , " << this->max_ << std::endl; + } + + std::string temp; + std::getline(in, temp); + while (!in.eof()) { - in >> this->min_ >> this->max_; - getline(in,line); + std::getline(in, temp); std::stringstream lineSS; - lineSS << line; + lineSS << temp; std::vector line_of_heat_map; while ( lineSS.good() ) @@ -625,9 +659,10 @@ Persistence_heat_maps::Persistence_heat_maps( const char* filename ) if ( dbg ) { std::cout << std::endl; + getchar(); } - this->heat_map.push_back( line_of_heat_map ); + if ( in.good() )this->heat_map.push_back( line_of_heat_map ); } in.close(); if ( dbg )std::cout << "Done \n"; diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes.h index be31768e..b6266375 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscapes.h @@ -42,6 +42,7 @@ #include #include #include +#include using namespace std; @@ -55,20 +56,6 @@ namespace Gudhi_stat -//double epsi = std::numeric_limits::epsilon(); -double epsi = 0.000005; - - -/** - * A procedure used to compare doubles. Typically gien two doubles A and B, comparing A == B is not good idea. In this case, we use the procedure almostEqual with the epsi defined at - * the top of the file. Setting up the epsi give the user a tolerance on what should be consider equal. -**/ -inline bool almost_equal( double a , double b ) -{ - if ( fabs(a-b) < epsi ) - return true; - return false; -} /** diff --git a/src/Gudhi_stat/test/CMakeLists.txt b/src/Gudhi_stat/test/CMakeLists.txt index 6d728fd8..6fb4310f 100644 --- a/src/Gudhi_stat/test/CMakeLists.txt +++ b/src/Gudhi_stat/test/CMakeLists.txt @@ -70,3 +70,23 @@ 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_test.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_test.xml --log_level=test_suite --report_level=no) \ No newline at end of file diff --git a/src/Gudhi_stat/test/data/persistence_heat_map_from_file_with_diagram b/src/Gudhi_stat/test/data/persistence_heat_map_from_file_with_diagram new file mode 100644 index 00000000..c4903ebe --- /dev/null +++ b/src/Gudhi_stat/test/data/persistence_heat_map_from_file_with_diagram @@ -0,0 +1,1001 @@ +0 1 +0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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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1.02246e-05 8.95044e-06 8.40564e-06 7.88768e-06 7.39573e-06 6.92891e-06 6.48637e-06 6.06723e-06 5.67064e-06 5.29574e-06 4.94167e-06 4.60758e-06 4.29264e-06 3.99603e-06 3.71695e-06 3.45459e-06 3.20818e-06 2.97696e-06 2.7602e-06 2.55717e-06 2.36719e-06 2.18956e-06 2.02365e-06 1.86881e-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 diff --git a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp new file mode 100644 index 00000000..c05aff35 --- /dev/null +++ b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp @@ -0,0 +1,56 @@ +/* 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 Sophia-Saclay (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 "gudhi_stat" +#include +#include +#include +#include + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +using namespace std; + + + + +BOOST_AUTO_TEST_CASE(check_construction_of_landscape) +{ + std::vector< std::vector > filter = create_Gaussian_filter(100,1); + Persistence_heat_maps p( "data/file_with_diagram" , filter , constant_function, false , 1000 , 0 , 1 ); + p.write_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 ); +} diff --git a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp index 3f19d14d..f7e58fe4 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp @@ -242,12 +242,13 @@ BOOST_AUTO_TEST_CASE(check_computations_of_distances) BOOST_CHECK( fabs( p.distance( &q , -1 )-0.359 ) <= 0.00001 ); } - +/* + * TODO BOOST_AUTO_TEST_CASE(check_computations_of_scalar_product) { Persistence_landscape p( "data/file_with_diagram" ); Persistence_landscape q( "data/file_with_diagram_1" ); BOOST_CHECK( fabs( p.compute_scalar_product( &q ) - 0.754498 ) <= 0.00001 ); -} +}*/ -- cgit v1.2.3 From 13d96b6f11e2a5da764a46b55b5b1182b686e648 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Thu, 22 Sep 2016 08:21:27 +0000 Subject: Adding tests to the implementation of persitence heat maps. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1532 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 065fdfed0c7000ff00bc4b1752239fedb2cdc9e4 --- src/Gudhi_stat/example/persistence_heat_maps.cpp | 88 +++++++ .../gudhi/concretizations/Persistence_heat_maps.h | 270 ++++++++++++--------- src/Gudhi_stat/test/persistence_heat_maps_test.cpp | 186 +++++++++++++- 3 files changed, 432 insertions(+), 112 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/persistence_heat_maps.cpp b/src/Gudhi_stat/example/persistence_heat_maps.cpp index 475569c8..fc9e31a0 100644 --- a/src/Gudhi_stat/example/persistence_heat_maps.cpp +++ b/src/Gudhi_stat/example/persistence_heat_maps.cpp @@ -89,10 +89,98 @@ int main( int argc , char** argv ) 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" ); + + + std::vector< Abs_Topological_data_with_averages* > to_average; + to_average.push_back( (Abs_Topological_data_with_averages*)(&p) ); + to_average.push_back( (Abs_Topological_data_with_averages*)(&q) ); + Persistence_heat_maps av; + av.compute_average( to_average ); + 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 ); + + std::vector< Abs_Topological_data_with_averages* > to_average; + to_average.push_back( (Abs_Topological_data_with_averages*)(&p) ); + to_average.push_back( (Abs_Topological_data_with_averages*)(&q) ); + to_average.push_back( (Abs_Topological_data_with_averages*)(&r) ); + Persistence_heat_maps av; + av.compute_average( to_average ); + + av.write_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" ); + + std::vector< Persistence_heat_maps* > to_compute_median; + to_compute_median.push_back( &p ); + to_compute_median.push_back( &q ); + Persistence_heat_maps median; + median.compute_median( to_compute_median ); + 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 ); + 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 ); + median.write_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 ); + + 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 ); + + percentage_of_active.write_to_file( "template_percentage_of_active_of_heat_maps" ); + //percentage_of_active.plot( "template_percentage_of_active_of_heat_maps" ); diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h index f6b17915..0910ae71 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h @@ -189,24 +189,62 @@ public: **/ inline bool check_if_the_same( const Persistence_heat_maps& second ) { - if ( this->heat_map.size() != second.heat_map.size() )return false; - if ( this->min_ != second.min_ )return false; - if ( this->max_ != second.max_ )return false; + bool dbg = false; + if ( this->heat_map.size() != second.heat_map.size() ) + { + if ( dbg )std::cerr << "this->heat_map.size() : " << this->heat_map.size() << " \n second.heat_map.size() : " << second.heat_map.size() << std::endl; + return false; + } + if ( this->min_ != second.min_ ) + { + if ( dbg )std::cerr << "this->min_ : " << this->min_ << ", second.min_ : " << second.min_ << std::endl; + return false; + } + if ( this->max_ != second.max_ ) + { + if ( dbg )std::cerr << "this->max_ : " << this->max_ << ", second.max_ : " << second.max_ << std::endl; + return false; + } //in the other case we may assume that the persistence images are defined on the same domain. return true; } + + /** + * Return minimal range value of persistent image. + **/ + inline double gimme_min(){return this->min_;} + + /** + * Return maximal range value of persistent image. + **/ + inline double gimme_max(){return this->max_;} + + /** * Operator == to check if to persistence heat maps are the same. **/ bool operator == ( const Persistence_heat_maps& rhs ) { - if ( !this->check_if_the_same(rhs) ) return false;//in this case, the domains are not the same, so the maps cannot be the same. + bool dbg = false; + if ( !this->check_if_the_same(rhs) ) + { + if ( dbg )std::cerr << "The domains are not the same \n"; + return false;//in this case, the domains are not the same, so the maps cannot be the same. + } for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) { for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) { - if ( !almost_equal(this->heat_map[i][j] , rhs.heat_map[i][j]) )return false; + if ( !almost_equal(this->heat_map[i][j] , rhs.heat_map[i][j]) ) + { + if ( dbg ) + { + std::cerr << "this->heat_map[" << i << "][" << j << "] = " << this->heat_map[i][j] << std::endl; + std::cerr << "rhs.heat_map[" << i << "][" << j << "] = " << rhs.heat_map[i][j] << std::endl; + } + return false; + } } } return true; @@ -228,99 +266,11 @@ public: //Concretizations of virtual methods: - std::vector vectorize( int number_of_function ) - { - //convert this->heat_map into one large vector: - size_t size_of_result = 0; - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) - { - size_of_result += this->heat_map[i].size(); - } - - std::vector< double > result; - result.reserve( size_of_result ); - - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) - { - for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) - { - result.push_back( this->heat_map[i][j] ); - } - } - - return result; - } - - double distance( const Abs_Topological_data_with_distances* second_ , double power = 1) - { - Persistence_heat_maps* second = (Persistence_heat_maps*)second_; - - //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: - if ( !this->check_if_the_same(*second) ) - { - std::cerr << "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; - throw "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; - } - - //if we are here, we know that the two persistence iomages are defined on the same domain, so we can start computing their distances: - - double distance = 0; - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) - { - for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) - { - distance += pow( abs(this->heat_map[i][j] - second->heat_map[i][j]) , power ); - } - } - return distance; - } - - double project_to_R( int number_of_function ) - { - double result = 0; - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) - { - for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) - { - result += this->heat_map[i][j]; - } - } - return result; - } - - void compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ) - { - std::vector maps; - maps.reserve( to_average.size() ); - for ( size_t i = 0 ; i != to_average.size() ; ++i ) - { - maps.push_back( (Persistence_heat_maps*)to_average[i] ); - } - this->compute_mean( maps ); - } - - double compute_scalar_product( const Abs_Topological_data_with_scalar_product* second_ ) - { - Persistence_heat_maps* second = (Persistence_heat_maps*)second_; - - //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: - if ( !this->check_if_the_same(*second) ) - { - std::cerr << "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; - throw "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; - } - - //if we are here, we know that the two persistence iomages are defined on the same domain, so we can start computing their scalar product: - double scalar_prod = 0; - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) - { - for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) - { - scalar_prod += this->heat_map[i][j]*second->heat_map[i][j]; - } - } - return scalar_prod; - } + std::vector vectorize( int number_of_function ); + double distance( const Abs_Topological_data_with_distances* second_ , double power = 1); + double project_to_R( int number_of_function ); + void compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ); + double compute_scalar_product( const Abs_Topological_data_with_scalar_product* second_ ); private: //private methods @@ -352,7 +302,7 @@ void Persistence_heat_maps::construct( const std::vector< std::pair > heat_maps = this->check_and_initialize_maps( maps ); std::vector to_compute_median( maps.size() ); - for ( size_t i = 0 ; i != heat_map.size() ; ++i ) + for ( size_t i = 0 ; i != heat_maps.size() ; ++i ) { - for ( size_t j = 0 ; j != heat_map[i].size() ; ++j ) + for ( size_t j = 0 ; j != heat_maps[i].size() ; ++j ) { for ( size_t map_no = 0 ; map_no != maps.size() ; ++map_no ) { @@ -517,6 +467,8 @@ void Persistence_heat_maps::compute_median( const std::vectorheat_map = heat_maps; + this->min_= maps[0]->min_; + this->max_= maps[0]->max_; } @@ -524,34 +476,33 @@ void Persistence_heat_maps::compute_median( const std::vector& maps ) { std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); - - std::vector to_compute_median( maps.size() ); - for ( size_t i = 0 ; i != heat_map.size() ; ++i ) + for ( size_t i = 0 ; i != heat_maps.size() ; ++i ) { - for ( size_t j = 0 ; j != heat_map[i].size() ; ++j ) + for ( size_t j = 0 ; j != heat_maps[i].size() ; ++j ) { double mean = 0; for ( size_t map_no = 0 ; map_no != maps.size() ; ++map_no ) - { + { mean += maps[map_no]->heat_map[i][j]; - } + } heat_maps[i][j] = mean/(double)maps.size(); } } this->heat_map = heat_maps; + this->min_ = maps[0]->min_; + this->max_ = maps[0]->max_; } - void Persistence_heat_maps::compute_percentage_of_active( const std::vector& maps , size_t cutoff ) { std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + for ( size_t i = 0 ; i != heat_maps.size() ; ++i ) { - for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + for ( size_t j = 0 ; j != heat_maps[i].size() ; ++j ) { size_t number_of_active_levels = 0; for ( size_t map_no = 0 ; map_no != maps.size() ; ++map_no ) @@ -569,6 +520,8 @@ void Persistence_heat_maps::compute_percentage_of_active( const std::vectorheat_map = heat_maps; + this->min_ = maps[0]->min_; + this->max_ = maps[0]->max_; } @@ -669,6 +622,103 @@ void Persistence_heat_maps::load_from_file( const char* filename ) } +//Concretizations of virtual methods: +std::vector Persistence_heat_maps::vectorize( int number_of_function ) +{ + //convert this->heat_map into one large vector: + size_t size_of_result = 0; + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + size_of_result += this->heat_map[i].size(); + } + + std::vector< double > result; + result.reserve( size_of_result ); + + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + result.push_back( this->heat_map[i][j] ); + } + } + + return result; +} + +double Persistence_heat_maps::distance( const Abs_Topological_data_with_distances* second_ , double power ) +{ + Persistence_heat_maps* second = (Persistence_heat_maps*)second_; + + //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: + if ( !this->check_if_the_same(*second) ) + { + std::cerr << "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; + throw "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; + } + + //if we are here, we know that the two persistence iomages are defined on the same domain, so we can start computing their distances: + + double distance = 0; + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + distance += pow( abs(this->heat_map[i][j] - second->heat_map[i][j]) , power ); + } + } + return distance; +} + +double Persistence_heat_maps::project_to_R( int number_of_function ) +{ + double result = 0; + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + result += this->heat_map[i][j]; + } + } + return result; +} + +void Persistence_heat_maps::compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ) +{ + std::vector maps; + maps.reserve( to_average.size() ); + for ( size_t i = 0 ; i != to_average.size() ; ++i ) + { + maps.push_back( (Persistence_heat_maps*)to_average[i] ); + } + this->compute_mean( maps ); +} + +double Persistence_heat_maps::compute_scalar_product( const Abs_Topological_data_with_scalar_product* second_ ) +{ + Persistence_heat_maps* second = (Persistence_heat_maps*)second_; + + //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: + if ( !this->check_if_the_same(*second) ) + { + std::cerr << "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; + throw "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; + } + + //if we are here, we know that the two persistence iomages are defined on the same domain, so we can start computing their scalar product: + double scalar_prod = 0; + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + scalar_prod += this->heat_map[i][j]*second->heat_map[i][j]; + } + } + return scalar_prod; +} + + + }//namespace Gudhi_stat }//namespace Gudhi diff --git a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp index c05aff35..78297cea 100644 --- a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp +++ b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp @@ -41,7 +41,7 @@ using namespace std; -BOOST_AUTO_TEST_CASE(check_construction_of_landscape) +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 , constant_function, false , 1000 , 0 , 1 ); @@ -49,8 +49,190 @@ BOOST_AUTO_TEST_CASE(check_construction_of_landscape) 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 , constant_function, false , 1000 , 0 , 10 ); + Persistence_heat_maps q( "data/file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 10 ); + Persistence_heat_maps r( "data/file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 10 ); + std::vector< Abs_Topological_data_with_averages* > to_average; + to_average.push_back( (Abs_Topological_data_with_averages*)(&p) ); + to_average.push_back( (Abs_Topological_data_with_averages*)(&q) ); + to_average.push_back( (Abs_Topological_data_with_averages*)(&r) ); + Persistence_heat_maps av; + av.compute_average( to_average ); + 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 , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps q( "data/file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps r( "data/file_with_diagram_2" , filter , constant_function, 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 , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps q( "data/file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps r( "data/file_with_diagram_2" , filter , constant_function, 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 , constant_function, 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 , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps q( "data/file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps r( "data/file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 1 ); + + //cerr << p.distance( (Abs_Topological_data_with_distances*)&p ) << endl; + //cerr << p.distance( (Abs_Topological_data_with_distances*)&q ) << endl; + //cerr << p.distance( (Abs_Topological_data_with_distances*)&r ) << endl; + //cerr << q.distance( (Abs_Topological_data_with_distances*)&p ) << endl; + //cerr << q.distance( (Abs_Topological_data_with_distances*)&q ) << endl; + //cerr << q.distance( (Abs_Topological_data_with_distances*)&r ) << endl; + //cerr << r.distance( (Abs_Topological_data_with_distances*)&p ) << endl; + //cerr << r.distance( (Abs_Topological_data_with_distances*)&q ) << endl; + //cerr << r.distance( (Abs_Topological_data_with_distances*)&r ) << endl; + //0 624.183 415.815 + //624.183 0 528.06Z + //415.815 528.066 0 + + BOOST_CHECK( fabs( p.distance( (Abs_Topological_data_with_distances*)&p ) - 0) < 0.0005); + BOOST_CHECK( fabs( p.distance( (Abs_Topological_data_with_distances*)&q ) - 624.183)< 0.0005); + BOOST_CHECK( fabs( p.distance( (Abs_Topological_data_with_distances*)&r ) - 415.815)< 0.0005); + BOOST_CHECK( fabs( q.distance( (Abs_Topological_data_with_distances*)&p ) - 624.183)< 0.0005); + BOOST_CHECK( fabs( q.distance( (Abs_Topological_data_with_distances*)&q ) - 0)< 0.0005); + BOOST_CHECK( fabs( q.distance( (Abs_Topological_data_with_distances*)&r ) - 528.066)< 0.0005); + BOOST_CHECK( fabs( r.distance( (Abs_Topological_data_with_distances*)&p ) - 415.815)< 0.0005); + BOOST_CHECK( fabs( r.distance( (Abs_Topological_data_with_distances*)&q ) - 528.066)< 0.0005); + BOOST_CHECK( fabs( r.distance( (Abs_Topological_data_with_distances*)&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 , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps q( "data/file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps r( "data/file_with_diagram_2" , filter , constant_function, 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 , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps q( "data/file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); + Persistence_heat_maps r( "data/file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 1 ); + + //cerr << p.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&p ) << endl; + //cerr << p.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&q ) << endl; + //cerr << p.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&r ) << endl; + //cerr << q.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&p ) << endl; + //cerr << q.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&q ) << endl; + //cerr << q.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&r ) << endl; + //cerr << r.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&p ) << endl; + //cerr << r.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&q ) << endl; + //cerr << r.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&r ) << endl; + + + BOOST_CHECK( fabs( p.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&p ) - 0.0345687 )< 0.0005); + BOOST_CHECK( fabs( p.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&q ) - 0.0509357 )< 0.0005); + BOOST_CHECK( fabs( p.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&r ) - 0.0375608 )< 0.0005); + BOOST_CHECK( fabs( q.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&p ) - 0.0509357 )< 0.0005); + BOOST_CHECK( fabs( q.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&q ) - 1.31293 )< 0.0005); + BOOST_CHECK( fabs( q.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&r ) - 0.536799)< 0.0005); + BOOST_CHECK( fabs( r.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&p ) - 0.0375608)< 0.0005); + BOOST_CHECK( fabs( r.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&q ) - 0.536799)< 0.0005); + BOOST_CHECK( fabs( r.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&r ) - 0.672907)< 0.0005); - BOOST_CHECK( p == q ); } -- cgit v1.2.3 From 1df5ef4350bd17588bf431eb809fff6818bff93e Mon Sep 17 00:00:00 2001 From: pdlotko Date: Thu, 22 Sep 2016 14:23:20 +0000 Subject: a few utilities to gudhi stat git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1539 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: f7828137943b97025df785ff0db02ba03e7ee1dc --- src/Gudhi_stat/example/CMakeLists.txt | 50 ++++++++--- src/Gudhi_stat/example/persistence_intervals.cpp | 8 +- .../example/utilities/persistence_intervals/aaa | 2 + .../persistence_intervals/aaa_Gnuplot_script | 12 +++ ...ompute_birth_death_range_in_persistence_diagram | Bin 0 -> 57077 bytes ...te_birth_death_range_in_persistence_diagram.cpp | 51 +++++++++++ .../compute_number_of_dominant_intervals | Bin 0 -> 57320 bytes .../compute_number_of_dominant_intervals.cpp | 57 +++++++++++++ .../plot_histogram_of_intervals_lengths | Bin 0 -> 61940 bytes .../plot_histogram_of_intervals_lengths.cpp | 69 +++++++++++++++ .../plot_persistence_Betti_numebrs | Bin 0 -> 62043 bytes .../plot_persistence_Betti_numebrs.cpp | 93 +++++++++++++++++++++ .../plot_persistence_intervals | Bin 0 -> 66379 bytes .../plot_persistence_intervals.cpp | 59 +++++++++++++ .../persistence_landscapes/average_landscapes | Bin 0 -> 100003 bytes .../persistence_landscapes/average_landscapes.cpp | 74 ++++++++++++++++ .../persistence_landscapes/create_landscapes | Bin 0 -> 103822 bytes .../persistence_landscapes/create_landscapes.cpp | 56 +++++++++++++ .../persistence_landscapes/plot_landscapes | Bin 0 -> 99665 bytes .../persistence_landscapes/plot_landscapes.cpp | 50 +++++++++++ 20 files changed, 563 insertions(+), 18 deletions(-) create mode 100644 src/Gudhi_stat/example/utilities/persistence_intervals/aaa create mode 100644 src/Gudhi_stat/example/utilities/persistence_intervals/aaa_Gnuplot_script create mode 100755 src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram create mode 100644 src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp create mode 100755 src/Gudhi_stat/example/utilities/persistence_intervals/compute_number_of_dominant_intervals create mode 100644 src/Gudhi_stat/example/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp create mode 100755 src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths create mode 100644 src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp create mode 100755 src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs create mode 100644 src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp create mode 100755 src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_intervals create mode 100644 src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_intervals.cpp create mode 100755 src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes create mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes.cpp create mode 100755 src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes create mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes.cpp create mode 100755 src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes create mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes.cpp (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/CMakeLists.txt b/src/Gudhi_stat/example/CMakeLists.txt index 1e6062fb..a0390875 100644 --- a/src/Gudhi_stat/example/CMakeLists.txt +++ b/src/Gudhi_stat/example/CMakeLists.txt @@ -7,23 +7,49 @@ target_link_libraries(persistence_landscape_on_grid ${Boost_SYSTEM_LIBRARY}) add_executable ( persistence_landscape persistence_landscape.cpp ) target_link_libraries(persistence_landscape ${Boost_SYSTEM_LIBRARY}) -add_executable ( average_landscapes average_landscapes.cpp ) -target_link_libraries(average_landscapes ${Boost_SYSTEM_LIBRARY}) - -add_executable ( create_landscapes create_landscapes.cpp ) -target_link_libraries(create_landscapes ${Boost_SYSTEM_LIBRARY}) - -add_executable ( plot_landscapes plot_landscapes.cpp ) -target_link_libraries(plot_landscapes ${Boost_SYSTEM_LIBRARY}) - add_executable ( persistence_intervals persistence_intervals.cpp ) target_link_libraries(persistence_intervals ${Boost_SYSTEM_LIBRARY}) -add_executable ( plot_persistence_intervals plot_persistence_intervals.cpp ) -target_link_libraries( plot_persistence_intervals ${Boost_SYSTEM_LIBRARY}) - add_executable ( vector_representation vector_representation.cpp ) target_link_libraries(vector_representation ${Boost_SYSTEM_LIBRARY}) add_executable ( persistence_heat_maps persistence_heat_maps.cpp ) target_link_libraries(persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) + + +##UTILITIES: + +#persitence diagrams +add_executable ( utilities/persistence_intervals/plot_persistence_intervals utilities/persistence_intervals/plot_persistence_intervals.cpp ) +target_link_libraries( utilities/persistence_intervals/plot_persistence_intervals ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp ) +target_link_libraries( utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_intervals/compute_number_of_dominant_intervals utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp ) +target_link_libraries( utilities/persistence_intervals/compute_number_of_dominant_intervals ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_intervals/plot_histogram_of_intervals_lengths utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp ) +target_link_libraries( utilities/persistence_intervals/plot_histogram_of_intervals_lengths ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_intervals/plot_persistence_Betti_numebrs utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp ) +target_link_libraries( utilities/persistence_intervals/plot_persistence_Betti_numebrs ${Boost_SYSTEM_LIBRARY}) + +#when we have bottleneck and wasserstein distance computations, add suitable programs here. + + +#persitence landscapes +add_executable ( utilities/persistence_landscapes/average_landscapes utilities/persistence_landscapes/average_landscapes.cpp ) +target_link_libraries(utilities/persistence_landscapes/average_landscapes ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_landscapes/create_landscapes utilities/persistence_landscapes/create_landscapes.cpp ) +target_link_libraries(utilities/persistence_landscapes/create_landscapes ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_landscapes/plot_landscapes utilities/persistence_landscapes/plot_landscapes.cpp ) +target_link_libraries(utilities/persistence_landscapes/plot_landscapes ${Boost_SYSTEM_LIBRARY}) + +#persitence landscapes on a grid + +#persitence images + +#persitence vectors diff --git a/src/Gudhi_stat/example/persistence_intervals.cpp b/src/Gudhi_stat/example/persistence_intervals.cpp index cf8c37c6..cbd4020d 100644 --- a/src/Gudhi_stat/example/persistence_intervals.cpp +++ b/src/Gudhi_stat/example/persistence_intervals.cpp @@ -33,9 +33,6 @@ using namespace Gudhi; using namespace Gudhi::Gudhi_stat; - -double epsilon = 0.0000005; - using namespace std; @@ -48,8 +45,7 @@ int main( int argc , char** argv ) } Persistence_intervals p( argv[1] ); - std::pair min_max_ = p.min_max(); - + std::pair min_max_ = p.min_max(); cout << "Birth-death range : " << min_max_.first << " " << min_max_.second << endl; @@ -59,8 +55,8 @@ int main( int argc , char** argv ) { cout << dominant_ten_intervals_length[i] << endl; } - std::vector< std::pair > ten_dominant_intervals = p.dominant_intervals( 10 ); + std::vector< std::pair > ten_dominant_intervals = p.dominant_intervals( 10 ); cout << "Here are the dominant intervals : " << endl; for ( size_t i = 0 ; i != ten_dominant_intervals.size() ; ++i ) { diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/aaa b/src/Gudhi_stat/example/utilities/persistence_intervals/aaa new file mode 100644 index 00000000..c0db80ab --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_intervals/aaa @@ -0,0 +1,2 @@ +1 2 +5 6 \ No newline at end of file diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/aaa_Gnuplot_script b/src/Gudhi_stat/example/utilities/persistence_intervals/aaa_Gnuplot_script new file mode 100644 index 00000000..af68b9b9 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_intervals/aaa_Gnuplot_script @@ -0,0 +1,12 @@ +set xrange [0.95 : 6.0505] +set yrange [0 : 1.01] +plot '-' using 1:2 notitle with lp +1 0 +1 1 +2 1 +2 0 +5 0 +5 1 +6 1 +6 0 + diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram b/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram new file mode 100755 index 00000000..8c0ac6f0 Binary files /dev/null and b/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram differ diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp b/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp new file mode 100644 index 00000000..6ae605d2 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp @@ -0,0 +1,51 @@ +/* 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 Sophia-Saclay (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 + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +using namespace std; + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute minimum birth and the maximum death time for a collection of persistence intervals \n"; + if ( argc != 2 ) + { + cout << "To run this program, please provide the name of a file with persistence diagram \n"; + return 1; + } + + Persistence_intervals p( argv[1] ); + std::pair min_max_ = p.min_max(); + cout << "Birth-death range : min: " << min_max_.first << ", max: " << min_max_.second << endl; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/compute_number_of_dominant_intervals b/src/Gudhi_stat/example/utilities/persistence_intervals/compute_number_of_dominant_intervals new file mode 100755 index 00000000..9be7cfad Binary files /dev/null and b/src/Gudhi_stat/example/utilities/persistence_intervals/compute_number_of_dominant_intervals differ diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp b/src/Gudhi_stat/example/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp new file mode 100644 index 00000000..6e6a9c88 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp @@ -0,0 +1,57 @@ +/* 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 Sophia-Saclay (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 + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +using namespace std; + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute the dominant intervals. A number of intervals to be displayed is a parameter of this program. \n"; + if ( argc != 3 ) + { + cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n"; + return 1; + } + + Persistence_intervals p( argv[1] ); + std::vector< std::pair > dominant_intervals = p.dominant_intervals( atoi( argv[2] ) ); + cout << "Here are the dominant intervals : " << endl; + for ( size_t i = 0 ; i != dominant_intervals.size() ; ++i ) + { + cout << " " << dominant_intervals[i].first<< "," << dominant_intervals[i].second << " "<< endl; + } + + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths new file mode 100755 index 00000000..d1e6d1a4 Binary files /dev/null and b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths differ diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp new file mode 100644 index 00000000..88c916d8 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp @@ -0,0 +1,69 @@ +/* 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 Sophia-Saclay (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 + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +using namespace std; + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute a histogram of barcode's length. A number of bins in the histogram is a parameter of this program. \n"; + if ( argc != 3 ) + { + cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n"; + return 1; + } + + Persistence_intervals p( argv[1] ); + std::vector< std::pair > dominant_intervals = p.dominant_intervals( atoi( argv[2] ) ); + std::vector< size_t > histogram = p.histograms_of_lengths( 10 ); + + std::stringstream gnuplot_script; + gnuplot_script << argv[1] << "_Gnuplot_script"; + ofstream out; + out.open( gnuplot_script.str().c_str() ); + + out << "set style data histogram" << std::endl; + out << "set style histogram cluster gap 1" << std::endl; + out << "set style fill solid border -1" << std::endl; + out << "plot '-' notitle" << std::endl; + for ( size_t i = 0 ; i != histogram.size() ; ++i ) + { + out << histogram[i] << std::endl; + } + out << endl; + std::cout << "To vizualize, open gnuplot and type: \'load " << gnuplot_script.str().c_str() << "\'" << std::endl; + out.close(); + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs new file mode 100755 index 00000000..1cf0465f Binary files /dev/null and b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs differ diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp new file mode 100644 index 00000000..49c0f601 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp @@ -0,0 +1,93 @@ +/* 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 Sophia-Saclay (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 + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +using namespace std; + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute a plot of persistence Betti numbers. The input parameter is a file with persistence intervals. \n"; + if ( argc != 2 ) + { + cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n"; + return 1; + } + + + + std::stringstream gnuplot_script; + gnuplot_script << argv[1] << "_Gnuplot_script"; + ofstream out; + out.open( gnuplot_script.str().c_str() ); + + Persistence_intervals p( argv[1] ); + std::vector< std::pair< double , size_t > > pbns = p.compute_persistent_betti_numbers(); + + //set up the ranges so that we see the image well. + double xRangeBegin = pbns[0].first; + double xRangeEnd = pbns[ pbns.size()-1 ].first; + double yRangeBegin = 0; + double yRangeEnd = 0; + for ( size_t i = 0 ; i != pbns.size() ; ++i ) + { + if ( pbns[i].second > yRangeEnd )yRangeEnd = pbns[i].second; + } + xRangeBegin -= (xRangeEnd -xRangeBegin)/100.0; + xRangeEnd += (xRangeEnd -xRangeBegin)/100.0; + yRangeEnd += yRangeEnd/100; + + + out << "set xrange [" << xRangeBegin << " : " << xRangeEnd << "]" << endl; + out << "set yrange [" << yRangeBegin << " : " << yRangeEnd << "]" << endl; + out << "plot '-' using 1:2 notitle with lp " << std::endl; + double previous_y = 0; + for ( size_t i = 0 ; i != pbns.size() ; ++i ) + { + out << pbns[i].first << " " << previous_y << endl; + out << pbns[i].first << " " << pbns[i].second << std::endl; + previous_y = pbns[i].second; + } + out << endl; + out.close(); + + for ( size_t i = 0 ; i != pbns.size() ; ++i ) + { + cout << pbns[i].first << " " << pbns[i].second << std::endl; + } + + std::cout << "To vizualize, open gnuplot and type: \'load " << gnuplot_script.str().c_str() << "\'" << std::endl; + + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_intervals b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_intervals new file mode 100755 index 00000000..95e85258 Binary files /dev/null and b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_intervals differ diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_intervals.cpp b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_intervals.cpp new file mode 100644 index 00000000..c4dd7284 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_intervals.cpp @@ -0,0 +1,59 @@ +/* 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 Sophia-Saclay (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 + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + + +double epsilon = 0.0000005; + +using namespace std; + + +int main( int argc , char** argv ) +{ + if ( argc != 2 ) + { + cout << "To run this program, please provide the name of a file with persistence diagram \n"; + return 1; + } + Persistence_intervals b( argv[1] ); + b.plot( argv[1] ); + return 0; +} + + + + + + + diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes b/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes new file mode 100755 index 00000000..fdc8552e Binary files /dev/null and b/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes differ diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes.cpp new file mode 100644 index 00000000..ac3b6432 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes.cpp @@ -0,0 +1,74 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program computes average persistence landscape of persistence landscapes created based on persistence diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; + std::vector< const char* > filenames; + + if ( argc == 1 ) + { + std::cout << "No input files given, the program will now terminate \n"; + return 1; + } + + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Creating persistence landscapes...\n"; + std::vector< Abs_Topological_data_with_averages* > lands; + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + Persistence_landscape* l = new Persistence_landscape; + l->load_landscape_from_file( filenames[i] ); + lands.push_back( (Abs_Topological_data_with_averages*)l ); + } + + Persistence_landscape av; + av.compute_average( lands ); + + av.print_to_file( "average" ); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + delete lands[i]; + } + + std::cout << "Done \n"; + + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes b/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes new file mode 100755 index 00000000..c82b0e7e Binary files /dev/null and b/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes differ diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes.cpp new file mode 100644 index 00000000..0a5df3b9 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes.cpp @@ -0,0 +1,56 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates persistence landscapes of diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; + std::vector< const char* > filenames; + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Creating persistence landscapes...\n"; + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + Persistence_landscape l( filenames[i] , 1 ); + std::stringstream ss; + ss << filenames[i] << ".land"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes b/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes new file mode 100755 index 00000000..ff049c9a Binary files /dev/null and b/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes differ diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes.cpp new file mode 100644 index 00000000..55575b97 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes.cpp @@ -0,0 +1,50 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program plot persistence landscape stored in a file (the file needs to be created beforehand). Please call the code with the name of a landsape file \n"; + Persistence_landscape l; + l.load_landscape_from_file( argv[1] ); + + std::stringstream ss; + ss << argv[1] << "_gnuplot_script"; + l.plot( ss.str().c_str() ); + + std::cout << "Done \n"; + + return 0; +} -- cgit v1.2.3 From 5719bcccd6b09eadcae8de8d9b8f1aa4983c56b3 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Fri, 23 Sep 2016 13:18:09 +0000 Subject: Finished adding utitilites. Note that they are still not tested!!! git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1553 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 61243549302b6e87376c7c725240949be67d44ac --- src/Gudhi_stat/example/CMakeLists.txt | 49 +++++++++- src/Gudhi_stat/example/persistence_heat_maps.cpp | 8 +- src/Gudhi_stat/example/persistence_landscape.cpp | 2 +- .../example/persistence_landscape_on_grid.cpp | 2 +- .../average_persistence_heat_maps.cpp | 73 ++++++++++++++ .../compute_distance_of_persistence_heat_maps.cpp | 107 +++++++++++++++++++++ ...ute_scalar_product_of_persistence_heat_maps.cpp | 91 ++++++++++++++++++ .../create_persistence_heat_maps.cpp | 76 +++++++++++++++ .../plot_persistence_heat_map.cpp | 50 ++++++++++ .../persistence_landscapes/average_landscapes.cpp | 2 +- .../persistence_landscapes/create_landscapes.cpp | 2 +- .../persistence_landscapes/plot_landscapes.cpp | 2 +- .../average_landscapes_on_grid.cpp | 74 ++++++++++++++ .../compute_distance_of_landscapes_on_grid.cpp | 107 +++++++++++++++++++++ ...ompute_scalar_product_of_landscapes_on_grid.cpp | 91 ++++++++++++++++++ .../create_landscapes_on_grid.cpp | 79 +++++++++++++++ .../plot_landscapes_on_grid.cpp | 50 ++++++++++ .../average_persistence_vectors.cpp | 74 ++++++++++++++ .../compute_distance_of_persistence_vectors.cpp | 107 +++++++++++++++++++++ ...mpute_scalar_product_of_persistence_vectors.cpp | 97 +++++++++++++++++++ .../create_persistence_vectors.cpp | 56 +++++++++++ src/Gudhi_stat/example/vector_representation.cpp | 1 - .../gudhi/concretizations/Persistence_heat_maps.h | 56 ++++++++--- .../concretizations/Vector_distances_in_diagram.h | 38 +++++++- src/Gudhi_stat/test/persistence_heat_maps_test.cpp | 2 +- .../test/persistence_lanscapes_on_grid_test.cpp | 2 +- src/Gudhi_stat/test/persistence_lanscapes_test.cpp | 2 +- 27 files changed, 1272 insertions(+), 28 deletions(-) create mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_vectors/average_persistence_vectors.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_vectors/create_persistence_vectors.cpp (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/CMakeLists.txt b/src/Gudhi_stat/example/CMakeLists.txt index a0390875..0dd35dd6 100644 --- a/src/Gudhi_stat/example/CMakeLists.txt +++ b/src/Gudhi_stat/example/CMakeLists.txt @@ -48,8 +48,55 @@ target_link_libraries(utilities/persistence_landscapes/create_landscapes ${Boost add_executable ( utilities/persistence_landscapes/plot_landscapes utilities/persistence_landscapes/plot_landscapes.cpp ) target_link_libraries(utilities/persistence_landscapes/plot_landscapes ${Boost_SYSTEM_LIBRARY}) +add_executable ( utilities/persistence_landscapes/compute_distance_of_landscapes utilities/persistence_landscapes/compute_distance_of_landscapes.cpp ) +target_link_libraries(utilities/persistence_landscapes/compute_distance_of_landscapes ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_landscapes/compute_scalar_product_of_landscapes utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp ) +target_link_libraries(utilities/persistence_landscapes/compute_scalar_product_of_landscapes ${Boost_SYSTEM_LIBRARY}) + #persitence landscapes on a grid +add_executable ( utilities/persistence_landscapes_on_grid/average_landscapes_on_grid utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp ) +target_link_libraries(utilities/persistence_landscapes_on_grid/average_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_landscapes_on_grid/create_landscapes_on_grid utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp ) +target_link_libraries(utilities/persistence_landscapes_on_grid/create_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp ) +target_link_libraries(utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp ) +target_link_libraries(utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp ) +target_link_libraries(utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) + +#persitence heat maps +add_executable ( utilities/persistence_heat_maps/average_persistence_heat_maps utilities/persistence_heat_maps/average_persistence_heat_maps.cpp ) +target_link_libraries(utilities/persistence_heat_maps/average_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_heat_maps/create_persistence_heat_maps utilities/persistence_heat_maps/create_persistence_heat_maps.cpp ) +target_link_libraries(utilities/persistence_heat_maps/create_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) -#persitence images +add_executable ( utilities/persistence_heat_maps/plot_persistence_heat_map utilities/persistence_heat_maps/plot_persistence_heat_map.cpp ) +target_link_libraries(utilities/persistence_heat_maps/plot_persistence_heat_map ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp ) +target_link_libraries(utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp ) +target_link_libraries(utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) #persitence vectors +add_executable ( utilities/persistence_vectors/average_persistence_vectors utilities/persistence_vectors/average_persistence_vectors.cpp ) +target_link_libraries(utilities/persistence_vectors/average_persistence_vectors ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_vectors/create_persistence_vectors utilities/persistence_vectors/create_persistence_vectors.cpp ) +target_link_libraries(utilities/persistence_vectors/create_persistence_vectors ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_vectors/compute_distance_of_persistence_vectors utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp ) +target_link_libraries(utilities/persistence_vectors/compute_distance_of_persistence_vectors ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp ) +target_link_libraries(utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors ${Boost_SYSTEM_LIBRARY}) + + diff --git a/src/Gudhi_stat/example/persistence_heat_maps.cpp b/src/Gudhi_stat/example/persistence_heat_maps.cpp index fc9e31a0..cd0c4113 100644 --- a/src/Gudhi_stat/example/persistence_heat_maps.cpp +++ b/src/Gudhi_stat/example/persistence_heat_maps.cpp @@ -83,7 +83,7 @@ int main( int argc , char** argv ) //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.write_to_file( "persistence_heat_map_from_file_with_diagram" ); + 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" ); @@ -126,7 +126,7 @@ int main( int argc , char** argv ) Persistence_heat_maps av; av.compute_average( to_average ); - av.write_to_file( "template_average_of_heat_maps" ); + av.print_to_file( "template_average_of_heat_maps" ); */ /* @@ -162,7 +162,7 @@ int main( int argc , char** argv ) Persistence_heat_maps median; median.compute_median( to_compute_median ); - median.write_to_file( "template_median_of_heat_maps" ); + median.print_to_file( "template_median_of_heat_maps" ); */ @@ -179,7 +179,7 @@ int main( int argc , char** argv ) Persistence_heat_maps percentage_of_active; percentage_of_active.compute_percentage_of_active( to_compute_percentage_of_active , 0.1 ); - percentage_of_active.write_to_file( "template_percentage_of_active_of_heat_maps" ); + 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/Gudhi_stat/example/persistence_landscape.cpp b/src/Gudhi_stat/example/persistence_landscape.cpp index 7bd04b4d..ab58886a 100644 --- a/src/Gudhi_stat/example/persistence_landscape.cpp +++ b/src/Gudhi_stat/example/persistence_landscape.cpp @@ -23,7 +23,7 @@ #include -#include +#include diff --git a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp index d5b0808b..7781493b 100644 --- a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp +++ b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp @@ -23,7 +23,7 @@ #include -#include +#include diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp new file mode 100644 index 00000000..a7359a02 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp @@ -0,0 +1,73 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program computes average persistence landscape of persistence landscapes created based on persistence diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; + std::vector< const char* > filenames; + + if ( argc == 1 ) + { + std::cout << "No input files given, the program will now terminate \n"; + return 1; + } + + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Creating persistence landscapes...\n"; + std::vector< Abs_Topological_data_with_averages* > maps; + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + Persistence_heat_maps* l = new Persistence_heat_maps; + l->load_from_file( filenames[i] ); + maps.push_back( (Abs_Topological_data_with_averages*)l ); + } + + Persistence_heat_maps av; + av.compute_average( maps ); + + av.print_to_file( "average" ); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + delete maps[i]; + } + + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp new file mode 100644 index 00000000..8164a93e --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp @@ -0,0 +1,107 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute dsitance of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The first parameter of a program is an interger p. The program compute L^p distance of the two landscapes. For L^infty distance choose p = -1. \n"; + std::cout << "The remaining parameters of this programs are names of files with persistence landscapes."; + + if ( argc < 3 ) + { + std::cout << "Wrong number of parameters, the program will now terminate \n"; + return 1; + } + + int p = atoi( argv[3] ); + + std::vector< const char* > filenames; + for ( int i = 2 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Abs_Topological_data_with_distances* > maps; + maps.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + Persistence_heat_maps* l = new Persistence_heat_maps; + l->load_from_file( filenames[file_no] ); + maps.push_back( (Abs_Topological_data_with_distances*)l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > distance( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + distance[i] = v; + } + + //and now we can compute the distnaces: + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + for ( size_t j = i ; j != filenames.size() ; ++j ) + { + distance[i][j] = distance[j][i] = ((Persistence_heat_maps*)maps[i])->distance( maps[j] , p ) ; + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "distance" ); + for ( size_t i = 0 ; i != distance.size() ; ++i ) + { + for ( size_t j = 0 ; j != distance.size() ; ++j ) + { + cout << distance[i][j] << " "; + out << distance[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + return 0; +} + + + + + + + diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp new file mode 100644 index 00000000..82fe207e --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp @@ -0,0 +1,91 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute scalar product of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The parameters of this programs are names of files with persistence landscapes."; + + std::vector< const char* > filenames; + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Persistence_heat_maps* > maps; + maps.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + Persistence_heat_maps* l = new Persistence_heat_maps; + l->load_from_file( filenames[file_no] ); + maps.push_back( l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > scalar_product( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + scalar_product[i] = v; + } + + //and now we can compute the scalar product: + for ( size_t i = 0 ; i != maps.size() ; ++i ) + { + for ( size_t j = i ; j != maps.size() ; ++j ) + { + scalar_product[i][j] = scalar_product[j][i] = ((Persistence_heat_maps*)maps[i])->compute_scalar_product( maps[j] ) ; + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "scalar_product" ); + for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) + { + for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) + { + cout << scalar_product[i][j] << " "; + out << scalar_product[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp new file mode 100644 index 00000000..152a1616 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp @@ -0,0 +1,76 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates persistence landscape on grid of diagrams provided as an input.\n"; + std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; + std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; + std::cout << "The remoaning parameters are the names of files with persistence diagrams. \n"; + + if ( argc < 4 ) + { + std::cout << "Wrong parameter list, the program will now terminate \n"; + return 1; + } + + size_t size_of_grid = (size_t)atoi( argv[1] ); + double min_ = atof( argv[2] ); + double max_ = atof( argv[3] ); + + std::vector< const char* > filenames; + for ( int i = 4 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + + + + std::cout << "Creating persistence heat maps...\n"; + std::vector< std::vector > filter = create_Gaussian_filter(10,1); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + Persistence_heat_maps l( filenames[i] , filter, constant_function, false , size_of_grid , min_ , max_ ); + std::stringstream ss; + ss << filenames[i] << ".land"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp new file mode 100644 index 00000000..d163aba6 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp @@ -0,0 +1,50 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program plot persistence landscape stored in a file (the file needs to be created beforehand). Please call the code with the name of a landsape file \n"; + Persistence_heat_maps l; + l.load_from_file( argv[1] ); + + std::stringstream ss; + ss << argv[1] << "_gnuplot_script"; + l.plot( ss.str().c_str() ); + + std::cout << "Done \n"; + + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes.cpp index ac3b6432..47c3f150 100644 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes.cpp @@ -23,7 +23,7 @@ #include -#include +#include diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes.cpp index 0a5df3b9..5152a033 100644 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes.cpp @@ -23,7 +23,7 @@ #include -#include +#include diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes.cpp index 55575b97..559fc096 100644 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes.cpp @@ -23,7 +23,7 @@ #include -#include +#include diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp new file mode 100644 index 00000000..497e2c7c --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp @@ -0,0 +1,74 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program computes average persistence landscape on grid of persistence landscapes on grid created based on persistence diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; + std::vector< const char* > filenames; + + if ( argc == 1 ) + { + std::cout << "No input files given, the program will now terminate \n"; + return 1; + } + + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Creating persistence landscapes...\n"; + std::vector< Abs_Topological_data_with_averages* > lands; + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + Persistence_landscape_on_grid* l = new Persistence_landscape_on_grid; + l->load_landscape_from_file( filenames[i] ); + lands.push_back( (Abs_Topological_data_with_averages*)l ); + } + + Persistence_landscape_on_grid av; + av.compute_average( lands ); + + av.print_to_file( "average" ); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + delete lands[i]; + } + + std::cout << "Done \n"; + + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp new file mode 100644 index 00000000..355b7976 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp @@ -0,0 +1,107 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute dsitance of persistence landscapes on grid stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The first parameter of a program is an interger p. The program compute L^p distance of the two landscapes on grid. For L^infty distance choose p = -1. \n"; + std::cout << "The remaining parameters of this programs are names of files with persistence landscapes on grid."; + + if ( argc < 3 ) + { + std::cout << "Wrong number of parameters, the program will now terminate \n"; + return 1; + } + + int p = atoi( argv[3] ); + + std::vector< const char* > filenames; + for ( int i = 2 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Persistence_landscape_on_grid > landscaspes; + landscaspes.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + Persistence_landscape_on_grid l; + l.load_landscape_from_file( filenames[file_no] ); + landscaspes.push_back( l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > distance( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + distance[i] = v; + } + + //and now we can compute the scalar product: + for ( size_t i = 0 ; i != landscaspes.size() ; ++i ) + { + for ( size_t j = i ; j != landscaspes.size() ; ++j ) + { + distance[i][j] = distance[j][i] = compute_discance_of_landscapes_on_grid( landscaspes[i], landscaspes[j] , p ) ; + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "distance" ); + for ( size_t i = 0 ; i != distance.size() ; ++i ) + { + for ( size_t j = 0 ; j != distance.size() ; ++j ) + { + cout << distance[i][j] << " "; + out << distance[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + return 0; +} + + + + + + + diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp new file mode 100644 index 00000000..4f6f2f5a --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp @@ -0,0 +1,91 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute scalar product of persistence landscapes on grid stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The parameters of this programs are names of files with persistence landscapes on grid."; + + std::vector< const char* > filenames; + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Persistence_landscape_on_grid > landscaspes; + landscaspes.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + Persistence_landscape_on_grid l; + l.load_landscape_from_file( filenames[file_no] ); + landscaspes.push_back( l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > scalar_product( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + scalar_product[i] = v; + } + + //and now we can compute the scalar product: + for ( size_t i = 0 ; i != landscaspes.size() ; ++i ) + { + for ( size_t j = i ; j != landscaspes.size() ; ++j ) + { + scalar_product[i][j] = scalar_product[j][i] = compute_inner_product( landscaspes[i], landscaspes[j] ) ; + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "scalar_product" ); + for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) + { + for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) + { + cout << scalar_product[i][j] << " "; + out << scalar_product[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp new file mode 100644 index 00000000..096f1036 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp @@ -0,0 +1,79 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates persistence landscape on grid of diagrams provided as an input.\n"; + std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; + std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; + std::cout << "The remoaning parameters are the names of files with persistence diagrams. \n"; + + if ( argc < 4 ) + { + std::cout << "Wrong parameter list, the program will now terminate \n"; + return 1; + } + + size_t size_of_grid = (size_t)atoi( argv[1] ); + double min_ = atof( argv[2] ); + double max_ = atof( argv[3] ); + + std::vector< const char* > filenames; + for ( int i = 4 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Creating persistence landscapes...\n"; + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + Persistence_landscape_on_grid l; + if ( (min_ != -1) || (max_ != -1) ) + { + l = Persistence_landscape_on_grid( filenames[i] , min_ , max_ , size_of_grid ); + } + else + { + //(min_ == -1) && (max_ == -1), in this case the program will find min_ and max_ based on the data. + l = Persistence_landscape_on_grid( filenames[i] , size_of_grid ); + } + std::stringstream ss; + ss << filenames[i] << ".land"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp new file mode 100644 index 00000000..21d2c014 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp @@ -0,0 +1,50 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program plot persistence landscape on grid stored in a file (the file needs to be created beforehand). Please call the code with the name of a landsape on grid file \n"; + Persistence_landscape_on_grid l; + l.load_landscape_from_file( argv[1] ); + + std::stringstream ss; + ss << argv[1] << "_gnuplot_script"; + l.plot( ss.str().c_str() ); + + std::cout << "Done \n"; + + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_vectors/average_persistence_vectors.cpp b/src/Gudhi_stat/example/utilities/persistence_vectors/average_persistence_vectors.cpp new file mode 100644 index 00000000..f0c0ba61 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_vectors/average_persistence_vectors.cpp @@ -0,0 +1,74 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program computes average persistence landscape of persistence landscapes created based on persistence diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; + std::vector< const char* > filenames; + + if ( argc == 1 ) + { + std::cout << "No input files given, the program will now terminate \n"; + return 1; + } + + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Creating persistence landscapes...\n"; + std::vector< Abs_Topological_data_with_averages* > lands; + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + Vector_distances_in_diagram< euclidean_distance >* l = new Vector_distances_in_diagram< euclidean_distance >; + l->load_from_file( filenames[i] ); + lands.push_back( (Abs_Topological_data_with_averages*)l ); + } + + Vector_distances_in_diagram< euclidean_distance > av; + av.compute_average( lands ); + + av.print_to_file( "average" ); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + delete lands[i]; + } + + std::cout << "Done \n"; + + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp b/src/Gudhi_stat/example/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp new file mode 100644 index 00000000..f93c910a --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp @@ -0,0 +1,107 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute dsitance of persistence vectors stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The first parameter of a program is an interger p. The program compute l^p distance of the vectors. For L^infty distance choose p = -1. \n"; + std::cout << "The remaining parameters of this programs are names of files with persistence vectors."; + + if ( argc < 3 ) + { + std::cout << "Wrong number of parameters, the program will now terminate \n"; + return 1; + } + + int p = atoi( argv[3] ); + + std::vector< const char* > filenames; + for ( int i = 2 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Vector_distances_in_diagram< euclidean_distance >* > vectors; + vectors.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + Vector_distances_in_diagram< euclidean_distance >* l = new Vector_distances_in_diagram< euclidean_distance >; + l->load_from_file( filenames[file_no] ); + vectors.push_back( l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > distance( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + distance[i] = v; + } + + //and now we can compute the distances: + for ( size_t i = 0 ; i != vectors.size() ; ++i ) + { + for ( size_t j = i ; j != vectors.size() ; ++j ) + { + distance[i][j] = distance[j][i] = ((Vector_distances_in_diagram< euclidean_distance >*)vectors[i])->distance( vectors[j] , p ) ; + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "distance" ); + for ( size_t i = 0 ; i != distance.size() ; ++i ) + { + for ( size_t j = 0 ; j != distance.size() ; ++j ) + { + cout << distance[i][j] << " "; + out << distance[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + return 0; +} + + + + + + + diff --git a/src/Gudhi_stat/example/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp b/src/Gudhi_stat/example/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp new file mode 100644 index 00000000..c886d076 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp @@ -0,0 +1,97 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute scalar product of persistence vectors stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The parameters of this programs are names of files with persistence vectors."; + + std::vector< const char* > filenames; + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Vector_distances_in_diagram< euclidean_distance >* > vectors; + vectors.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + Vector_distances_in_diagram< euclidean_distance >* l = new Vector_distances_in_diagram< euclidean_distance >; + l->load_from_file( filenames[file_no] ); + vectors.push_back( l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > scalar_product( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + scalar_product[i] = v; + } + + //and now we can compute the scalar product: + for ( size_t i = 0 ; i != vectors.size() ; ++i ) + { + for ( size_t j = i ; j != vectors.size() ; ++j ) + { + scalar_product[i][j] = scalar_product[j][i] = ((Vector_distances_in_diagram< euclidean_distance >*)vectors[i])->compute_scalar_product( vectors[j] ) ; + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "scalar_product" ); + for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) + { + for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) + { + cout << scalar_product[i][j] << " "; + out << scalar_product[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + //cleaning up + for ( size_t i = 0 ; i != vectors.size() ; ++i ) + { + delete vectors[i]; + } + + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_vectors/create_persistence_vectors.cpp b/src/Gudhi_stat/example/utilities/persistence_vectors/create_persistence_vectors.cpp new file mode 100644 index 00000000..b800c872 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_vectors/create_persistence_vectors.cpp @@ -0,0 +1,56 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates persistence vectors of diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; + std::vector< const char* > filenames; + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Creating persistence vectors...\n"; + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + Vector_distances_in_diagram< euclidean_distance > l( filenames[i] , -1 ); + std::stringstream ss; + ss << filenames[i] << ".vect"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/example/vector_representation.cpp b/src/Gudhi_stat/example/vector_representation.cpp index 4e9cd1a6..358de1b0 100644 --- a/src/Gudhi_stat/example/vector_representation.cpp +++ b/src/Gudhi_stat/example/vector_representation.cpp @@ -50,7 +50,6 @@ int main( int argc , char** argv ) } Vector_distances_in_diagram< euclidean_distance > p( argv[1] , 100 ); - cout << "This is a vector corresponding to the input persistence diagram : \n"; cout << p << endl; diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h index 0910ae71..e758b30a 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h @@ -25,6 +25,9 @@ #include #include #include +#include +#include +#include //gudhi include #include @@ -99,11 +102,37 @@ std::vector< std::vector > create_Gaussian_filter( size_t pixel_radius , return kernel; } -double constant_function( std::pair< double , double >& point_in_diagram ) + +/** + * There are various options to scale the poits depending on their location. One can for instance: + * (1) do nothing (scale all of them with the weight 1), as in the function constant_function + * (2) Scale them by the distance to the diagonal. This is implemented in function + * (3) Scale them with the square of their distance to diagonal. This is implemented in function + * (4) Scale them with +**/ + +double constant_function( const std::pair< double , double >& point_in_diagram ) { return 1; } +double distance_from_diagonal( const std::pair< double , double >& point_in_diagram ) +{ + //(point_in_diagram.first+point_in_diagram.second)/2.0 + return sqrt( pow((point_in_diagram.first-(point_in_diagram.first+point_in_diagram.second)/2.0),2) + pow((point_in_diagram.second-(point_in_diagram.first+point_in_diagram.second)/2.0),2) ); +} + +double squared_distance_from_diagonal( const std::pair< double , double >& point_in_diagram ) +{ + return pow((point_in_diagram.first-(point_in_diagram.first+point_in_diagram.second)/2.0),2) + pow((point_in_diagram.second-(point_in_diagram.first+point_in_diagram.second)/2.0),2); +} + +double arc_tan_of_persistence_of_point( const std::pair< double , double >& point_in_diagram ) +{ + return atan( point_in_diagram.second - point_in_diagram.first ); +} + + class Persistence_heat_maps : @@ -135,7 +164,7 @@ public: * (6) a min x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data, * (6) a max x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data. **/ - Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); + Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); /** * Construction that takes at the input a name of a file with persistence intervals, a filter (radius 5 by default), a scaling function (constant by default), a boolean value which determines if the area of image below diagonal should, or should not be erased (should by default). The next parameter is the number of pixels in each direction (set to 1000 by default). and min and max values of images (both set to -1 by defaulet. If this is the case, the program will pick the right values based on the data). @@ -150,7 +179,7 @@ public: * (6) a min x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data, * (6) a max x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data. **/ - Persistence_heat_maps( const char* name_of_file_with_names_of_files_with_interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); + Persistence_heat_maps( const char* name_of_file_with_names_of_files_with_interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); /** @@ -176,7 +205,7 @@ public: * In the first line, the values min and max of the image are stored * In the next lines, we have the persistence images in a form of a bitmap image. **/ - void write_to_file( const char* filename ); + void print_to_file( const char* filename ); /** * A function that load a heat map from file to the current object (and arase qhatever was stored in the current object before). @@ -277,7 +306,7 @@ private: std::vector< std::vector > check_and_initialize_maps( const std::vector& maps ); void construct( const std::vector< std::pair >& intervals_ , std::vector< std::vector > filter = create_Gaussian_filter(5,1), - double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ) = constant_function, + double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); void set_up_parameters_for_basic_classes() @@ -287,7 +316,7 @@ private: } //data - double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ); + double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ); bool erase_below_diagonal; double min_; double max_; @@ -298,7 +327,7 @@ private: //if min_ == max_, then the program is requested to set up the values itself based on persistence intervals void Persistence_heat_maps::construct( const std::vector< std::pair >& intervals_ , std::vector< std::vector > filter, - double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ), + double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ), bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) { bool dbg = false; @@ -307,8 +336,8 @@ void Persistence_heat_maps::construct( const std::vector< std::pair::max(); + max_ = -std::numeric_limits::max(); for ( size_t i = 0 ; i != intervals_.size() ; ++i ) @@ -364,6 +393,7 @@ void Persistence_heat_maps::construct( const std::vector< std::pairscalling_function_with_respect_to_distance_from_diagonal(intervals_[pt_nr]); for ( size_t i = 0 ; i != filter.size() ; ++i ) { @@ -376,7 +406,7 @@ void Persistence_heat_maps::construct( const std::vector< std::pair=0) && (y_grid+jheat_map.size()) ) { - this->heat_map[ y_grid+j ][ x_grid+i ] += filter[i][j]; + this->heat_map[ y_grid+j ][ x_grid+i ] += scaling_value * filter[i][j]; if ( dbg ) { std::cerr << "Position : (" << x_grid+i << "," << y_grid+j << ") got increased by the value : " << filter[i][j] << std::endl; @@ -403,7 +433,7 @@ void Persistence_heat_maps::construct( const std::vector< std::pair > & interval , std::vector< std::vector > filter, - double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ), + double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ), bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) { this->construct( interval , filter , constant_function, erase_below_diagonal , number_of_pixels , min_ , max_ ); @@ -413,7 +443,7 @@ Persistence_heat_maps::Persistence_heat_maps( const std::vector< std::pair< doub Persistence_heat_maps::Persistence_heat_maps( const char* name_of_file_with_names_of_files_with_interval , std::vector< std::vector > filter, - double (*scalling_function_with_respect_to_distance_from_diagonal)( std::pair< double , double >& point_in_diagram ), + double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ), bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) { std::vector< std::pair< double , double > > intervals_ = read_standard_file( name_of_file_with_names_of_files_with_interval ); @@ -545,7 +575,7 @@ void Persistence_heat_maps::plot( const char* filename ) -void Persistence_heat_maps::write_to_file( const char* filename ) +void Persistence_heat_maps::print_to_file( const char* filename ) { ofstream out; out.open( filename ); diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h index ce111426..56fad188 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h @@ -66,7 +66,8 @@ struct maximum_distance /** -* This is an implementation of idea presented in the paper by Steve, Matthew and Max. +* This is an implementation of idea presented in the paper by Steve, Matthew and Max. The parameter of the class is the class that computes distance used to construct the vectors. The typical function is +* either Eucludean of maximum (Manhattan) distance. **/ template @@ -136,6 +137,19 @@ public: **/ void write_to_file( const char* filename ); + /** + * Write a vector to a file. + **/ + void print_to_file( const char* filename ) + { + this->write_to_file(filename); + } + + /** + * Loading a vector to a file. + **/ + void load_from_file( const char* filename ); + //concretization of abstract methods: double project_to_R( int number_of_function ); std::vector vectorize( int number_of_function ); @@ -454,6 +468,28 @@ void Vector_distances_in_diagram::write_to_file( const char* filename ) out.close(); } +template < typename F> +void Vector_distances_in_diagram::load_from_file( const char* filename ) +{ + //check if the file exist. + if ( !( access( filename, F_OK ) != -1 ) ) + { + cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; + } + std::ifstream in; + in.open( filename ); + + double number; + while ( true ) + { + in >> number; + if ( in.eof() )break; + this->sorted_vector_of_distnaces.push_back(number); + } + in.close(); +} + template < typename F> double Vector_distances_in_diagram::compute_scalar_product( const Abs_Topological_data_with_scalar_product* second ) { diff --git a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp index 78297cea..505b1912 100644 --- a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp +++ b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp @@ -45,7 +45,7 @@ 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 , constant_function, false , 1000 , 0 , 1 ); - p.write_to_file( "data/persistence_heat_map_from_file_with_diagram" ); + 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" ); diff --git a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp index f7e58fe4..fb95b9d1 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp @@ -27,7 +27,7 @@ #include #include #include -#include +#include #include diff --git a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp index 2e4369ab..8a7d0ce1 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp @@ -27,7 +27,7 @@ #include #include #include -#include +#include #include -- cgit v1.2.3 From 48a10aa15e5ccde24f39837b2a0f0776b6ac21b7 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Sat, 24 Sep 2016 19:31:43 +0000 Subject: after tests of utilities for scalar products. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1556 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 529fc7963626fdab93284c27a3b6f03457d80c5c --- .../average_persistence_heat_maps.cpp | 2 +- .../compute_distance_of_persistence_heat_maps.cpp | 4 ++-- .../compute_scalar_product_of_persistence_heat_maps.cpp | 2 +- .../create_persistence_heat_maps.cpp | 17 ++++++++++------- .../persistence_heat_maps/plot_persistence_heat_map.cpp | 10 ++-------- 5 files changed, 16 insertions(+), 19 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp index a7359a02..d90e78e1 100644 --- a/src/Gudhi_stat/example/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp @@ -61,7 +61,7 @@ int main( int argc , char** argv ) Persistence_heat_maps av; av.compute_average( maps ); - av.print_to_file( "average" ); + av.print_to_file( "average.mps" ); for ( size_t i = 0 ; i != filenames.size() ; ++i ) { diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp index 8164a93e..10d6f04c 100644 --- a/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp @@ -38,7 +38,7 @@ int main( int argc , char** argv ) { std::cout << "This program compute dsitance of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; std::cout << "The first parameter of a program is an interger p. The program compute L^p distance of the two landscapes. For L^infty distance choose p = -1. \n"; - std::cout << "The remaining parameters of this programs are names of files with persistence landscapes."; + std::cout << "The remaining parameters of this programs are names of files with persistence landscapes.\n"; if ( argc < 3 ) { @@ -46,7 +46,7 @@ int main( int argc , char** argv ) return 1; } - int p = atoi( argv[3] ); + int p = atoi( argv[1] ); std::vector< const char* > filenames; for ( int i = 2 ; i < argc ; ++i ) diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp index 82fe207e..cd529f10 100644 --- a/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp @@ -37,7 +37,7 @@ using namespace Gudhi::Gudhi_stat; int main( int argc , char** argv ) { std::cout << "This program compute scalar product of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; - std::cout << "The parameters of this programs are names of files with persistence landscapes."; + std::cout << "The parameters of this programs are names of files with persistence landscapes.\n"; std::vector< const char* > filenames; for ( int i = 1 ; i < argc ; ++i ) diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp index 152a1616..14a25918 100644 --- a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp @@ -40,9 +40,10 @@ int main( int argc , char** argv ) std::cout << "This program creates persistence landscape on grid of diagrams provided as an input.\n"; std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; - std::cout << "The remoaning parameters are the names of files with persistence diagrams. \n"; + std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; + std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; - if ( argc < 4 ) + if ( argc < 5 ) { std::cout << "Wrong parameter list, the program will now terminate \n"; return 1; @@ -51,24 +52,26 @@ int main( int argc , char** argv ) size_t size_of_grid = (size_t)atoi( argv[1] ); double min_ = atof( argv[2] ); double max_ = atof( argv[3] ); + size_t stdiv = atof( argv[4] ); std::vector< const char* > filenames; - for ( int i = 4 ; i < argc ; ++i ) + for ( int i = 5 ; i < argc ; ++i ) { filenames.push_back( argv[i] ); } - std::cout << "Creating persistence heat maps...\n"; - std::vector< std::vector > filter = create_Gaussian_filter(10,1); + std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); for ( size_t i = 0 ; i != filenames.size() ; ++i ) { - Persistence_heat_maps l( filenames[i] , filter, constant_function, false , size_of_grid , min_ , max_ ); + std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; + Persistence_heat_maps l( filenames[i] , filter, constant_function, false , size_of_grid , min_ , max_ ); + std::stringstream ss; - ss << filenames[i] << ".land"; + ss << filenames[i] << ".mps"; l.print_to_file( ss.str().c_str() ); } std::cout << "Done \n"; diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp index d163aba6..b85a502b 100644 --- a/src/Gudhi_stat/example/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp @@ -38,13 +38,7 @@ int main( int argc , char** argv ) { std::cout << "This program plot persistence landscape stored in a file (the file needs to be created beforehand). Please call the code with the name of a landsape file \n"; Persistence_heat_maps l; - l.load_from_file( argv[1] ); - - std::stringstream ss; - ss << argv[1] << "_gnuplot_script"; - l.plot( ss.str().c_str() ); - - std::cout << "Done \n"; - + l.load_from_file( argv[1] ); + l.plot( argv[1] ); return 0; } -- cgit v1.2.3 From 0b325e9a9cfdfd543b9c5c823116d7b58ca5d8b7 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Sat, 24 Sep 2016 19:44:54 +0000 Subject: the same check done for diagrams... git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1557 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 9ea9034edfd88bc1ca910963f321ad943e196464 --- ...ompute_birth_death_range_in_persistence_diagram | Bin 57077 -> 61596 bytes ...te_birth_death_range_in_persistence_diagram.cpp | 37 ++++++++++++++++----- .../plot_histogram_of_intervals_lengths | Bin 61940 -> 61940 bytes .../plot_histogram_of_intervals_lengths.cpp | 2 +- .../plot_persistence_Betti_numebrs | Bin 62043 -> 62043 bytes .../plot_persistence_Betti_numebrs.cpp | 10 +++--- 6 files changed, 35 insertions(+), 14 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram b/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram index 8c0ac6f0..c4955d0e 100755 Binary files a/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram and b/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram differ diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp b/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp index 6ae605d2..dba0984a 100644 --- a/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp @@ -27,6 +27,8 @@ #include #include +#include +#include @@ -38,14 +40,33 @@ using namespace std; int main( int argc , char** argv ) { - std::cout << "This program compute minimum birth and the maximum death time for a collection of persistence intervals \n"; - if ( argc != 2 ) + //std::cout << "This program compute minimum birth and the maximum death time for a collection of persistence intervals \n"; + //if ( argc != 2 ) + //{ + // cout << "To run this program, please provide the name of a file with persistence diagram \n"; + // return 1; + //} + //Persistence_intervals p( argv[1] ); + //std::pair min_max_ = p.min_max(); + //cout << "Birth-death range : min: " << min_max_.first << ", max: " << min_max_.second << endl; + + std::vector< const char* > filenames; + for ( int i = 1 ; i < argc ; ++i ) { - cout << "To run this program, please provide the name of a file with persistence diagram \n"; - return 1; + filenames.push_back( argv[i] ); } - - Persistence_intervals p( argv[1] ); - std::pair min_max_ = p.min_max(); - cout << "Birth-death range : min: " << min_max_.first << ", max: " << min_max_.second << endl; + + double min_ = std::numeric_limits::max(); + double max_ = -std::numeric_limits::max(); + + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + std::cout << "Creating diagram based on a file : " << filenames[file_no] << std::endl; + Persistence_intervals p( filenames[file_no] ); + std::pair min_max_ = p.min_max(); + if ( min_max_.first < min_ )min_ = min_max_.first; + if ( min_max_.second > max_ )max_ = min_max_.second; + } + cout << "Birth-death range : min: " << min_ << ", max: " << max_ << endl; + return 0; } diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths index d1e6d1a4..5d063bc1 100755 Binary files a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths and b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths differ diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp index 88c916d8..dd2f3f99 100644 --- a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp @@ -63,7 +63,7 @@ int main( int argc , char** argv ) out << histogram[i] << std::endl; } out << endl; - std::cout << "To vizualize, open gnuplot and type: \'load " << gnuplot_script.str().c_str() << "\'" << std::endl; + std::cout << "To vizualize, open gnuplot and type: load \'" << gnuplot_script.str().c_str() << "\'" << std::endl; out.close(); return 0; } diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs index 1cf0465f..664ac49f 100755 Binary files a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs and b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs differ diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp index 49c0f601..33ff7bce 100644 --- a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp @@ -82,12 +82,12 @@ int main( int argc , char** argv ) out << endl; out.close(); - for ( size_t i = 0 ; i != pbns.size() ; ++i ) - { - cout << pbns[i].first << " " << pbns[i].second << std::endl; - } + //for ( size_t i = 0 ; i != pbns.size() ; ++i ) + //{ + // cout << pbns[i].first << " " << pbns[i].second << std::endl; + //} - std::cout << "To vizualize, open gnuplot and type: \'load " << gnuplot_script.str().c_str() << "\'" << std::endl; + std::cout << "To vizualize, open gnuplot and type: load \'" << gnuplot_script.str().c_str() << "\'" << std::endl; return 0; } -- cgit v1.2.3 From 8716c180924d7751f0467fe409294604a19fc02a Mon Sep 17 00:00:00 2001 From: pdlotko Date: Sun, 25 Sep 2016 18:52:39 +0000 Subject: After testing utylities for persistence landscapes. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1558 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: bf12d3ce9ac4c3154ee2ae1ab00e23bbd1c6538a --- .../persistence_landscapes/average_landscapes | Bin 100003 -> 99922 bytes .../persistence_landscapes/average_landscapes.cpp | 5 +++-- .../persistence_landscapes/create_landscapes | Bin 103822 -> 99645 bytes .../persistence_landscapes/plot_landscapes | Bin 99665 -> 99584 bytes 4 files changed, 3 insertions(+), 2 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes b/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes index fdc8552e..c0314c43 100755 Binary files a/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes and b/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes differ diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes.cpp index 47c3f150..418244d2 100644 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes.cpp @@ -35,7 +35,8 @@ using namespace Gudhi::Gudhi_stat; int main( int argc , char** argv ) { - std::cout << "This program computes average persistence landscape of persistence landscapes created based on persistence diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; + std::cout << "This program computes average persistence landscape of persistence landscapes created based on persistence diagrams provided as an input (you must create them first).\n"; + std::cout << "Please call this program with the names of files with persistence landscapes. The program will create a persistence landscape which will be their average \n"; std::vector< const char* > filenames; if ( argc == 1 ) @@ -61,7 +62,7 @@ int main( int argc , char** argv ) Persistence_landscape av; av.compute_average( lands ); - av.print_to_file( "average" ); + av.print_to_file( "average.land" ); for ( size_t i = 0 ; i != filenames.size() ; ++i ) { diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes b/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes index c82b0e7e..f6a5c292 100755 Binary files a/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes and b/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes differ diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes b/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes index ff049c9a..c2cf5d4f 100755 Binary files a/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes and b/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes differ -- cgit v1.2.3 From 23e3211c569229709a75f735724c4d3d4ffdbc23 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Sun, 25 Sep 2016 19:05:38 +0000 Subject: the same for landscapes on a grid. Be careful, we still have a problem with scalar product!!! git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1559 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 12056d1024edecc295772352751e4762777a6a67 --- .../persistence_landscapes_on_grid/average_landscapes_on_grid.cpp | 2 +- .../compute_distance_of_landscapes_on_grid.cpp | 6 +++--- .../compute_scalar_product_of_landscapes_on_grid.cpp | 2 +- .../persistence_landscapes_on_grid/create_landscapes_on_grid.cpp | 5 +++-- .../persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp | 5 +++++ 5 files changed, 13 insertions(+), 7 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp index 497e2c7c..7c3b8db2 100644 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp @@ -61,7 +61,7 @@ int main( int argc , char** argv ) Persistence_landscape_on_grid av; av.compute_average( lands ); - av.print_to_file( "average" ); + av.print_to_file( "average.g_land" ); for ( size_t i = 0 ; i != filenames.size() ; ++i ) { diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp index 355b7976..20cb52c9 100644 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp @@ -37,8 +37,8 @@ using namespace Gudhi::Gudhi_stat; int main( int argc , char** argv ) { std::cout << "This program compute dsitance of persistence landscapes on grid stored in a file (the file needs to be created beforehand). \n"; - std::cout << "The first parameter of a program is an interger p. The program compute L^p distance of the two landscapes on grid. For L^infty distance choose p = -1. \n"; - std::cout << "The remaining parameters of this programs are names of files with persistence landscapes on grid."; + std::cout << "The first parameter of a program is an interger p. The program compute L^p distance of the the landscapes on grid. For L^infty distance choose p = -1. \n"; + std::cout << "The remaining parameters of this programs are names of files with persistence landscapes on grid.\n"; if ( argc < 3 ) { @@ -46,7 +46,7 @@ int main( int argc , char** argv ) return 1; } - int p = atoi( argv[3] ); + int p = atoi( argv[1] ); std::vector< const char* > filenames; for ( int i = 2 ; i < argc ; ++i ) diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp index 4f6f2f5a..056710ff 100644 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp @@ -37,7 +37,7 @@ using namespace Gudhi::Gudhi_stat; int main( int argc , char** argv ) { std::cout << "This program compute scalar product of persistence landscapes on grid stored in a file (the file needs to be created beforehand). \n"; - std::cout << "The parameters of this programs are names of files with persistence landscapes on grid."; + std::cout << "The parameters of this programs are names of files with persistence landscapes on grid.\n"; std::vector< const char* > filenames; for ( int i = 1 ; i < argc ; ++i ) diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp index 096f1036..2ac74eb3 100644 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp @@ -39,7 +39,7 @@ int main( int argc , char** argv ) std::cout << "This program creates persistence landscape on grid of diagrams provided as an input.\n"; std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; - std::cout << "The remoaning parameters are the names of files with persistence diagrams. \n"; + std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; if ( argc < 4 ) { @@ -60,6 +60,7 @@ int main( int argc , char** argv ) std::cout << "Creating persistence landscapes...\n"; for ( size_t i = 0 ; i != filenames.size() ; ++i ) { + std::cout << "Creating persistence landscape on a grid based on a file : " << filenames[i] << std::endl; Persistence_landscape_on_grid l; if ( (min_ != -1) || (max_ != -1) ) { @@ -71,7 +72,7 @@ int main( int argc , char** argv ) l = Persistence_landscape_on_grid( filenames[i] , size_of_grid ); } std::stringstream ss; - ss << filenames[i] << ".land"; + ss << filenames[i] << ".g_land"; l.print_to_file( ss.str().c_str() ); } std::cout << "Done \n"; diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp index 21d2c014..54b8367b 100644 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp @@ -37,6 +37,11 @@ using namespace Gudhi::Gudhi_stat; int main( int argc , char** argv ) { std::cout << "This program plot persistence landscape on grid stored in a file (the file needs to be created beforehand). Please call the code with the name of a landsape on grid file \n"; + if ( argc == 1 ) + { + std::cout << "Wrong parameters of a program call, the program will now terminate \n"; + return 1; + } Persistence_landscape_on_grid l; l.load_landscape_from_file( argv[1] ); -- cgit v1.2.3 From 8e1a39e80fe3399d6b446264d08562fcadd4df65 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Mon, 26 Sep 2016 07:55:16 +0000 Subject: A few more modifications to the Gudhi stat. Now all the utilities are tested, and some corrections to the tests are added. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1561 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 5032a8c66a13764ee929a76ac301667f4d67de45 --- .../average_persistence_vectors.cpp | 9 +- .../compute_distance_of_persistence_vectors.cpp | 13 +- ...mpute_scalar_product_of_persistence_vectors.cpp | 2 +- .../create_persistence_vectors.cpp | 5 +- .../gudhi/concretizations/Persistence_heat_maps.h | 43 +- .../concretizations/Vector_distances_in_diagram.h | 128 ++++-- .../test/data/average_of_persistence_vectors | 1 + src/Gudhi_stat/test/vector_representation_test.cpp | 457 +++++++++++---------- 8 files changed, 382 insertions(+), 276 deletions(-) create mode 100644 src/Gudhi_stat/test/data/average_of_persistence_vectors (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/utilities/persistence_vectors/average_persistence_vectors.cpp b/src/Gudhi_stat/example/utilities/persistence_vectors/average_persistence_vectors.cpp index f0c0ba61..1b269e9c 100644 --- a/src/Gudhi_stat/example/utilities/persistence_vectors/average_persistence_vectors.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_vectors/average_persistence_vectors.cpp @@ -35,7 +35,8 @@ using namespace Gudhi::Gudhi_stat; int main( int argc , char** argv ) { - std::cout << "This program computes average persistence landscape of persistence landscapes created based on persistence diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; + std::cout << "This program computes average persistence vector of persistence vectors created based on persistence diagrams provided as an input. \n"; + std::cout << "Please call this program with the names of files with persistence diagrams \n"; std::vector< const char* > filenames; if ( argc == 1 ) @@ -49,10 +50,10 @@ int main( int argc , char** argv ) filenames.push_back( argv[i] ); } - std::cout << "Creating persistence landscapes...\n"; + std::cout << "Reading persistence vectors...\n"; std::vector< Abs_Topological_data_with_averages* > lands; for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { + { Vector_distances_in_diagram< euclidean_distance >* l = new Vector_distances_in_diagram< euclidean_distance >; l->load_from_file( filenames[i] ); lands.push_back( (Abs_Topological_data_with_averages*)l ); @@ -61,7 +62,7 @@ int main( int argc , char** argv ) Vector_distances_in_diagram< euclidean_distance > av; av.compute_average( lands ); - av.print_to_file( "average" ); + av.print_to_file( "average.vect" ); for ( size_t i = 0 ; i != filenames.size() ; ++i ) { diff --git a/src/Gudhi_stat/example/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp b/src/Gudhi_stat/example/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp index f93c910a..72026497 100644 --- a/src/Gudhi_stat/example/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp @@ -36,9 +36,9 @@ using namespace Gudhi::Gudhi_stat; int main( int argc , char** argv ) { - std::cout << "This program compute dsitance of persistence vectors stored in a file (the file needs to be created beforehand). \n"; - std::cout << "The first parameter of a program is an interger p. The program compute l^p distance of the vectors. For L^infty distance choose p = -1. \n"; - std::cout << "The remaining parameters of this programs are names of files with persistence vectors."; + std::cout << "This program compute distance of persistence vectors stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The first parameter of a program is an interger p. The program compute l^p distance of the vectors. For l^infty distance choose p = -1. \n"; + std::cout << "The remaining parameters of this programs are names of files with persistence vectors.\n"; if ( argc < 3 ) { @@ -46,7 +46,7 @@ int main( int argc , char** argv ) return 1; } - int p = atoi( argv[3] ); + int p = atoi( argv[1] ); std::vector< const char* > filenames; for ( int i = 2 ; i < argc ; ++i ) @@ -57,6 +57,7 @@ int main( int argc , char** argv ) vectors.reserve( filenames.size() ); for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) { + //cerr << filenames[file_no] << endl; Vector_distances_in_diagram< euclidean_distance >* l = new Vector_distances_in_diagram< euclidean_distance >; l->load_from_file( filenames[file_no] ); vectors.push_back( l ); @@ -71,11 +72,11 @@ int main( int argc , char** argv ) std::vector< double > v( filenames.size() , 0 ); distance[i] = v; } - + //and now we can compute the distances: for ( size_t i = 0 ; i != vectors.size() ; ++i ) { - for ( size_t j = i ; j != vectors.size() ; ++j ) + for ( size_t j = i+1 ; j != vectors.size() ; ++j ) { distance[i][j] = distance[j][i] = ((Vector_distances_in_diagram< euclidean_distance >*)vectors[i])->distance( vectors[j] , p ) ; } diff --git a/src/Gudhi_stat/example/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp b/src/Gudhi_stat/example/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp index c886d076..16192d52 100644 --- a/src/Gudhi_stat/example/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp @@ -37,7 +37,7 @@ using namespace Gudhi::Gudhi_stat; int main( int argc , char** argv ) { std::cout << "This program compute scalar product of persistence vectors stored in a file (the file needs to be created beforehand). \n"; - std::cout << "The parameters of this programs are names of files with persistence vectors."; + std::cout << "The parameters of this programs are names of files with persistence vectors.\n"; std::vector< const char* > filenames; for ( int i = 1 ; i < argc ; ++i ) diff --git a/src/Gudhi_stat/example/utilities/persistence_vectors/create_persistence_vectors.cpp b/src/Gudhi_stat/example/utilities/persistence_vectors/create_persistence_vectors.cpp index b800c872..99015e41 100644 --- a/src/Gudhi_stat/example/utilities/persistence_vectors/create_persistence_vectors.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_vectors/create_persistence_vectors.cpp @@ -43,10 +43,10 @@ int main( int argc , char** argv ) filenames.push_back( argv[i] ); } - std::cout << "Creating persistence vectors...\n"; for ( size_t i = 0 ; i != filenames.size() ; ++i ) { - Vector_distances_in_diagram< euclidean_distance > l( filenames[i] , -1 ); + std::cerr << "Creatign persistence vectors based on a file : " << filenames[i] << std::endl; + Vector_distances_in_diagram< euclidean_distance > l( filenames[i] , -1 ); std::stringstream ss; ss << filenames[i] << ".vect"; l.print_to_file( ss.str().c_str() ); @@ -54,3 +54,4 @@ int main( int argc , char** argv ) std::cout << "Done \n"; return 0; } + diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h index e758b30a..6d06ac8e 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h @@ -88,7 +88,7 @@ std::vector< std::vector > create_Gaussian_filter( size_t pixel_radius , kernel[x + pixel_radius][y + pixel_radius] = (exp(-(r*r)/sigma_sqr))/(3.141592 * sigma_sqr); sum += kernel[x + pixel_radius][y + pixel_radius]; } - } + } // normalize the kernel for( size_t i = 0; i != kernel.size() ; ++i) @@ -99,6 +99,19 @@ std::vector< std::vector > create_Gaussian_filter( size_t pixel_radius , } } + + if ( dbg ) + { + std::cerr << "Here is the kernel : \n"; + for( size_t i = 0; i != kernel.size() ; ++i) + { + for( size_t j = 0; j != kernel[i].size() ; ++j) + { + std::cerr << kernel[i][j] << " "; + } + std::cerr << std::endl; + } + } return kernel; } @@ -112,7 +125,7 @@ std::vector< std::vector > create_Gaussian_filter( size_t pixel_radius , **/ double constant_function( const std::pair< double , double >& point_in_diagram ) -{ +{ return 1; } @@ -179,7 +192,7 @@ public: * (6) a min x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data, * (6) a max x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data. **/ - Persistence_heat_maps( const char* name_of_file_with_names_of_files_with_interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); + Persistence_heat_maps( const char* filename , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); /** @@ -362,6 +375,7 @@ void Persistence_heat_maps::construct( const std::vector< std::pairmin_ = min_; this->max_ = max_; + this->scalling_function_with_respect_to_distance_from_diagonal = scalling_function_with_respect_to_distance_from_diagonal; //initialization of the structure heat_map @@ -393,12 +407,20 @@ void Persistence_heat_maps::construct( const std::vector< std::pairscalling_function_with_respect_to_distance_from_diagonal(intervals_[pt_nr]); + for ( size_t i = 0 ; i != filter.size() ; ++i ) { for ( size_t j = 0 ; j != filter.size() ; ++j ) - { + { //if the point (x_grid+i,y_grid+j) is the correct point in the grid. if ( ((x_grid+i)>=0) && (x_grid+iheat_map.size()) @@ -406,6 +428,7 @@ void Persistence_heat_maps::construct( const std::vector< std::pair=0) && (y_grid+jheat_map.size()) ) { + if ( dbg ){std::cerr << y_grid+j << " " << x_grid+i << std::endl;} this->heat_map[ y_grid+j ][ x_grid+i ] += scaling_value * filter[i][j]; if ( dbg ) { @@ -441,12 +464,12 @@ Persistence_heat_maps::Persistence_heat_maps( const std::vector< std::pair< doub } -Persistence_heat_maps::Persistence_heat_maps( const char* name_of_file_with_names_of_files_with_interval , +Persistence_heat_maps::Persistence_heat_maps( const char* filename , std::vector< std::vector > filter, double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ), bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) { - std::vector< std::pair< double , double > > intervals_ = read_standard_file( name_of_file_with_names_of_files_with_interval ); + std::vector< std::pair< double , double > > intervals_ = read_standard_file( filename ); this->construct( intervals_ , filter , constant_function, erase_below_diagonal , number_of_pixels , min_ , max_ ); this->set_up_parameters_for_basic_classes(); } @@ -559,7 +582,10 @@ void Persistence_heat_maps::compute_percentage_of_active( const std::vectorheat_map.size() ; ++i ) { @@ -569,14 +595,15 @@ void Persistence_heat_maps::plot( const char* filename ) } out << endl; } - out.close(); + std::cout << "Gnuplot script have been created. Open gnuplot and type load \'" << ss.str().c_str() << "\' to see the picture." << std::endl; } void Persistence_heat_maps::print_to_file( const char* filename ) { + ofstream out; out.open( filename ); diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h index 56fad188..8c3d0f37 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h @@ -38,6 +38,7 @@ #include #include #include +#include using namespace std; namespace Gudhi @@ -137,19 +138,37 @@ public: **/ void write_to_file( const char* filename ); - /** + /** * Write a vector to a file. **/ void print_to_file( const char* filename ) { - this->write_to_file(filename); - } + this->write_to_file( filename ); + } /** * Loading a vector to a file. **/ void load_from_file( const char* filename ); + /** + * Comparision operators: + **/ + bool operator == ( const Vector_distances_in_diagram& second ) + { + if ( this->sorted_vector_of_distnaces.size() != second.sorted_vector_of_distnaces.size() )return false; + for ( size_t i = 0 ; i != this->sorted_vector_of_distnaces.size() ; ++i ) + { + if ( !almost_equal(this->sorted_vector_of_distnaces[i] , second.sorted_vector_of_distnaces[i]) )return false; + } + return true; + } + + bool operator != ( const Vector_distances_in_diagram& second ) + { + return !( *this == second ); + } + //concretization of abstract methods: double project_to_R( int number_of_function ); std::vector vectorize( int number_of_function ); @@ -190,7 +209,8 @@ Vector_distances_in_diagram::Vector_distances_in_diagram( std::vector< std::p { std::vector< std::pair< double,double > > i( intervals_ ); this->intervals = i; - this->compute_sorted_vector_of_distnaces_via_heap( where_to_cut ); + //this->compute_sorted_vector_of_distnaces_via_heap( where_to_cut ); + this->compute_sorted_vector_of_distnaces_via_vector_sorting(where_to_cut); this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); } @@ -218,15 +238,16 @@ Vector_distances_in_diagram& Vector_distances_in_diagram::operator =( cons template Vector_distances_in_diagram::Vector_distances_in_diagram( const char* filename , size_t where_to_cut ):Abs_Vectorized_topological_data(where_to_cut) -{ +{ //standard file with barcode std::vector< std::pair< double , double > > intervals = read_standard_file( filename ); //gudhi file with barcode - //std::vector< std::pair< double , double > > intervals = read_gudhi_file( filename , dimension ); - + //std::vector< std::pair< double , double > > intervals = read_gudhi_file( filename , dimension ); + this->intervals = intervals; this->compute_sorted_vector_of_distnaces_via_heap( where_to_cut ); - set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); + //this->compute_sorted_vector_of_distnaces_via_vector_sorting( where_to_cut ); + set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); } template < typename F> @@ -241,10 +262,10 @@ void Vector_distances_in_diagram::compute_sorted_vector_of_distnaces_via_heap { cerr << this->intervals[i].first << " , " << this->intervals[i].second << endl; } - } + } + where_to_cut = std::min(where_to_cut , (size_t)(0.5 * this->intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size())); - std::vector< double > heap( where_to_cut ); - std::fill( heap.begin() , heap.end() , std::numeric_limits::max() ); + std::vector< double > heap( where_to_cut , std::numeric_limits::max() ); std::make_heap (heap.begin(),heap.end()); F f; @@ -252,7 +273,7 @@ void Vector_distances_in_diagram::compute_sorted_vector_of_distnaces_via_heap for ( size_t i = 0 ; i < this->intervals.size() ; ++i ) { for ( size_t j = i+1 ; j < this->intervals.size() ; ++j ) - { + { double value = std::min( f( this->intervals[i] , this->intervals[j] ), std::min( @@ -261,13 +282,16 @@ void Vector_distances_in_diagram::compute_sorted_vector_of_distnaces_via_heap ) ); - //cerr << "Value : " << value << endl; - //cerr << "heap.front() : " << heap.front() << endl; - //getchar(); + if ( dbg ) + { + cerr << "Value : " << value << endl; + cerr << "heap.front() : " << heap.front() << endl; + getchar(); + } if ( -value < heap.front() ) { - //cerr << "Replacing : " << heap.front() << " with : " << -value << endl;getchar(); + if ( dbg ){cerr << "Replacing : " << heap.front() << " with : " << -value << endl;getchar();} //remove the first element from the heap std::pop_heap (heap.begin(),heap.end()); //heap.pop_back(); @@ -309,6 +333,16 @@ void Vector_distances_in_diagram::compute_sorted_vector_of_distnaces_via_heap heap[i] *= -1; } } + + if ( dbg ) + { + std::cerr << "This is the heap after all the operations :\n"; + for ( size_t i = 0 ; i != heap.size() ; ++i ) + { + std::cout << heap[i] << " "; + } + std::cout << endl; + } this->sorted_vector_of_distnaces = heap; } @@ -318,11 +352,9 @@ void Vector_distances_in_diagram::compute_sorted_vector_of_distnaces_via_heap template < typename F> void Vector_distances_in_diagram::compute_sorted_vector_of_distnaces_via_vector_sorting( size_t where_to_cut ) -{ - bool dbg = false; - - std::vector< double > distances; - distances.reserve( 0.5 * this->intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size() ); +{ + std::vector< double > distances; + distances.reserve( (size_t)(0.5 * this->intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size()) ); F f; //for every pair of points in the diagram, compute the minimum of their distance, and distance of those points from diagonal @@ -343,8 +375,8 @@ void Vector_distances_in_diagram::compute_sorted_vector_of_distnaces_via_vect } } - std::sort( distances.begin() , distances.end() , std::greater() ); - distances.resize( where_to_cut ); + std::sort( distances.begin() , distances.end() , std::greater() ); + if ( distances.size() > where_to_cut )distances.resize( where_to_cut ); this->sorted_vector_of_distnaces = distances; } @@ -410,28 +442,58 @@ template double Vector_distances_in_diagram::distance( const Abs_Topological_data_with_distances* second , double power ) { bool dbg = false; - if ( this->sorted_vector_of_distnaces.size() != ((Vector_distances_in_diagram*)second)->sorted_vector_of_distnaces.size() )throw "Incompatible sizes of sorted_vector_of_distnaces in the method Vector_distances_in_diagram::distance"; + + if ( dbg ) + { + std::cerr << "Entering double Vector_distances_in_diagram::distance( const Abs_Topological_data_with_distances* second , double power ) procedure \n"; + std::cerr << "Power : " << power << std::endl; + std::cerr << "This : " << *this << std::endl; + std::cerr << "second : " << *((Vector_distances_in_diagram*)second) << std::endl; + } + + Vector_distances_in_diagram* second_ = ((Vector_distances_in_diagram*)second); + double result = 0; - for ( size_t i = 0 ; i != this->sorted_vector_of_distnaces.size() ; ++i ) + for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distnaces.size(), second_->sorted_vector_of_distnaces.size()) ; ++i ) { if ( power == 1 ) { if ( dbg ) { - cerr << "|" << this->sorted_vector_of_distnaces[i] << " - " << ((Vector_distances_in_diagram*)second)->sorted_vector_of_distnaces[i] << " | : " << fabs( this->sorted_vector_of_distnaces[i] - ((Vector_distances_in_diagram*)second)->sorted_vector_of_distnaces[i] ) << endl; + cerr << "|" << this->sorted_vector_of_distnaces[i] << " - " << second_->sorted_vector_of_distnaces[i] << " | : " << fabs( this->sorted_vector_of_distnaces[i] - second_->sorted_vector_of_distnaces[i] ) << endl; } - result += fabs( this->sorted_vector_of_distnaces[i] - ((Vector_distances_in_diagram*)second)->sorted_vector_of_distnaces[i] ); + result += fabs( this->sorted_vector_of_distnaces[i] - second_->sorted_vector_of_distnaces[i] ); } else { - result += std::pow( fabs( this->sorted_vector_of_distnaces[i] - ((Vector_distances_in_diagram*)second)->sorted_vector_of_distnaces[i] ) , power ); + result += std::pow( fabs( this->sorted_vector_of_distnaces[i] - second_->sorted_vector_of_distnaces[i] ) , power ); if ( dbg ) { - cerr << "| " << this->sorted_vector_of_distnaces[i] << " - " << ((Vector_distances_in_diagram*)second)->sorted_vector_of_distnaces[i] << " : " << fabs( this->sorted_vector_of_distnaces[i] - ((Vector_distances_in_diagram*)second)->sorted_vector_of_distnaces[i] ) << endl; + cerr << "| " << this->sorted_vector_of_distnaces[i] << " - " << second_->sorted_vector_of_distnaces[i] << " : " << fabs( this->sorted_vector_of_distnaces[i] - second_->sorted_vector_of_distnaces[i] ) << endl; } } } + if ( this->sorted_vector_of_distnaces.size() != second_->sorted_vector_of_distnaces.size() ) + { + if ( this->sorted_vector_of_distnaces.size() > second_->sorted_vector_of_distnaces.size() ) + { + for ( size_t i = second_->sorted_vector_of_distnaces.size() ; i != this->sorted_vector_of_distnaces.size() ; ++i ) + { + result += fabs( this->sorted_vector_of_distnaces[i] ); + } + } + else + { + //this->sorted_vector_of_distnaces.size() < second_->sorted_vector_of_distnaces.size() + for ( size_t i = this->sorted_vector_of_distnaces.size() ; i != second_->sorted_vector_of_distnaces.size() ; ++i ) + { + result += fabs( second_->sorted_vector_of_distnaces[i] ); + } + } + } + + if ( power != 1 ) { result = std::pow( result , (1.0/power) ); @@ -494,13 +556,9 @@ template < typename F> double Vector_distances_in_diagram::compute_scalar_product( const Abs_Topological_data_with_scalar_product* second ) { Vector_distances_in_diagram* second_vector = (Vector_distances_in_diagram*)second; - if ( this->sorted_vector_of_distnaces.size() != second_vector->sorted_vector_of_distnaces.size() ) - { - std::cerr << "Non compatible sizes of sorted vectors of distances. The program will now terminate \n"; - throw "Non compatible sizes of sorted vectors of distances. The program will now terminate"; - } + double result = 0; - for ( size_t i = 0 ; i != this->sorted_vector_of_distnaces.size() ; ++i ) + for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distnaces.size(),second_vector->sorted_vector_of_distnaces.size()) ; ++i ) { result += this->sorted_vector_of_distnaces[i] * second_vector->sorted_vector_of_distnaces[i]; } diff --git a/src/Gudhi_stat/test/data/average_of_persistence_vectors b/src/Gudhi_stat/test/data/average_of_persistence_vectors new file mode 100644 index 00000000..c7078160 --- /dev/null +++ b/src/Gudhi_stat/test/data/average_of_persistence_vectors @@ -0,0 +1 @@ +3.53553 3.53553 2.82843 0.707107 0.707107 0.707107 \ No newline at end of file diff --git a/src/Gudhi_stat/test/vector_representation_test.cpp b/src/Gudhi_stat/test/vector_representation_test.cpp index bbbca93b..e87d1b23 100644 --- a/src/Gudhi_stat/test/vector_representation_test.cpp +++ b/src/Gudhi_stat/test/vector_representation_test.cpp @@ -21,8 +21,8 @@ */ - #include +#include #include #define BOOST_TEST_DYN_LINK @@ -33,139 +33,155 @@ #include #include + using namespace Gudhi; using namespace Gudhi::Gudhi_stat; using namespace std; -double epsilon = 0.000005; +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(0.534927); - sortev_vector_distances_template.push_back(0.534927); - sortev_vector_distances_template.push_back(0.534927); - sortev_vector_distances_template.push_back(0.515741); - sortev_vector_distances_template.push_back(0.515741); - sortev_vector_distances_template.push_back(0.515741); - sortev_vector_distances_template.push_back(0.515741); - sortev_vector_distances_template.push_back(0.507828); - sortev_vector_distances_template.push_back(0.507828); - sortev_vector_distances_template.push_back(0.507828); - sortev_vector_distances_template.push_back(0.500911); - sortev_vector_distances_template.push_back(0.500911); - sortev_vector_distances_template.push_back(0.500911); - sortev_vector_distances_template.push_back(0.500911); - sortev_vector_distances_template.push_back(0.500911); - sortev_vector_distances_template.push_back(0.496986); - sortev_vector_distances_template.push_back(0.496986); - sortev_vector_distances_template.push_back(0.496986); - sortev_vector_distances_template.push_back(0.496986); - sortev_vector_distances_template.push_back(0.495306); - sortev_vector_distances_template.push_back(0.495306); - sortev_vector_distances_template.push_back(0.495306); - sortev_vector_distances_template.push_back(0.495306); - sortev_vector_distances_template.push_back(0.439945); - sortev_vector_distances_template.push_back(0.439945); - sortev_vector_distances_template.push_back(0.439945); - sortev_vector_distances_template.push_back(0.439945); - sortev_vector_distances_template.push_back(0.439945); - sortev_vector_distances_template.push_back(0.439945); - sortev_vector_distances_template.push_back(0.439945); - sortev_vector_distances_template.push_back(0.424097); - sortev_vector_distances_template.push_back(0.424097); - sortev_vector_distances_template.push_back(0.424097); - sortev_vector_distances_template.push_back(0.424097); - 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(0.413891); - 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(0.410613); - sortev_vector_distances_template.push_back(0.410613); - sortev_vector_distances_template.push_back(0.410613); - sortev_vector_distances_template.push_back(0.410613); - 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(0.407853); - sortev_vector_distances_template.push_back(0.407853); - 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(0.402306); - sortev_vector_distances_template.push_back(0.402306); - sortev_vector_distances_template.push_back(0.402306); - 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(0.377605); - sortev_vector_distances_template.push_back(0.377605); - sortev_vector_distances_template.push_back(0.377605); - 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(0.357765); - 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(0.357765); - 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(0.345124); - 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(0.345124); - sortev_vector_distances_template.push_back(0.34469); - sortev_vector_distances_template.push_back(0.34469); + + 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( fabs ( sortev_vector_distances_template[i] - aa[i] ) <= epsilon ); + { + 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 ); @@ -175,108 +191,106 @@ BOOST_AUTO_TEST_CASE(check_projections_to_R) proj.push_back( 1.176284775 ); proj.push_back( 1.715142954 ); proj.push_back( 2.25006986 ); - proj.push_back( 2.784996767 ); - proj.push_back( 3.319923673 ); - proj.push_back( 3.854850579 ); - proj.push_back( 4.370591225 ); - proj.push_back( 4.886331872 ); - proj.push_back( 5.402072518 ); - proj.push_back( 5.917813164 ); - proj.push_back( 6.425641089 ); - proj.push_back( 6.933469014 ); - proj.push_back( 7.441296939 ); - proj.push_back( 7.942207817 ); - proj.push_back( 8.443118694 ); - proj.push_back( 8.944029572 ); - proj.push_back( 9.44494045 ); - proj.push_back( 9.945851328 ); - proj.push_back( 10.44283706 ); - proj.push_back( 10.93982279 ); - proj.push_back( 11.43680853 ); - proj.push_back( 11.93379426 ); - proj.push_back( 12.42910009 ); - proj.push_back( 12.92440592 ); - proj.push_back( 13.41971176 ); - proj.push_back( 13.91501759 ); - proj.push_back( 14.35496286 ); - proj.push_back( 14.79490814 ); - proj.push_back( 15.23485341 ); - proj.push_back( 15.67479869 ); - proj.push_back( 16.11474396 ); - proj.push_back( 16.55468923 ); - proj.push_back( 16.99463451 ); - proj.push_back( 17.41873131 ); - proj.push_back( 17.84282811 ); - proj.push_back( 18.26692491 ); - proj.push_back( 18.69102171 ); - proj.push_back( 19.11511851 ); - proj.push_back( 19.52900989 ); - proj.push_back( 19.94290127 ); - proj.push_back( 20.35679265 ); - proj.push_back( 20.77068403 ); - proj.push_back( 21.18457541 ); - proj.push_back( 21.59846679 ); - proj.push_back( 22.01235817 ); - proj.push_back( 22.42297162 ); - proj.push_back( 22.83358506 ); - proj.push_back( 23.2441985 ); - proj.push_back( 23.65481194 ); - proj.push_back( 24.06542538 ); - proj.push_back( 24.47327795 ); - proj.push_back( 24.88113051 ); - proj.push_back( 25.28898308 ); - proj.push_back( 25.69683564 ); - proj.push_back( 26.1046882 ); - proj.push_back( 26.51254077 ); - proj.push_back( 26.91484703 ); - proj.push_back( 27.3171533 ); - proj.push_back( 27.71945957 ); - proj.push_back( 28.12176583 ); - proj.push_back( 28.5240721 ); - proj.push_back( 28.92600955 ); - proj.push_back( 29.30361425 ); - proj.push_back( 29.68121895 ); - proj.push_back( 30.05882365 ); - proj.push_back( 30.43642834 ); - proj.push_back( 30.81403304 ); - proj.push_back( 31.17789162 ); - proj.push_back( 31.53565711 ); - proj.push_back( 31.89342259 ); - proj.push_back( 32.25118808 ); - proj.push_back( 32.60895356 ); - proj.push_back( 32.96671905 ); - proj.push_back( 33.32448454 ); - proj.push_back( 33.68225002 ); - proj.push_back( 34.04001551 ); - proj.push_back( 34.397781 ); - proj.push_back( 34.75554648 ); - proj.push_back( 35.11331197 ); - proj.push_back( 35.47107745 ); - proj.push_back( 35.82884294 ); - proj.push_back( 36.18660843 ); - proj.push_back( 36.53173245 ); - proj.push_back( 36.87685646 ); - proj.push_back( 37.22198048 ); - proj.push_back( 37.5671045 ); - proj.push_back( 37.91222852 ); - proj.push_back( 38.25735254 ); - proj.push_back( 38.60247656 ); - proj.push_back( 38.94760057 ); - proj.push_back( 39.29272459 ); - proj.push_back( 39.63784861 ); - proj.push_back( 39.98297263 ); - proj.push_back( 40.32809665 ); - proj.push_back( 40.67322067 ); - proj.push_back( 41.01834468 ); - proj.push_back( 41.3634687 ); - proj.push_back( 41.70815824 ); - - + 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( fabs ( p.project_to_R(proj_no) - proj[proj_no] ) <= epsilon ); + BOOST_CHECK( almost_equal( p.project_to_R(proj_no) , proj[proj_no] ) ); } } @@ -299,8 +313,9 @@ BOOST_AUTO_TEST_CASE(check_distance_computations) 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 ); - BOOST_CHECK( fabs ( p_prime.distance( (Abs_Topological_data_with_distances*)(&p_bis) , 1 ) - 1.669 ) <= epsilon ); + 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( (Abs_Topological_data_with_distances*)(&p_bis) , 1 ) , 1.86428 ) ); } @@ -311,16 +326,16 @@ BOOST_AUTO_TEST_CASE(check_compute_average) //compute average std::vector< std::pair > i1(3); i1[0] = std::pair( 1,2 ); - i1[1] = std::pair( 3,4 ); - i1[2] = std::pair( 5,6 ); + i1[1] = std::pair( 3,8 ); + i1[2] = std::pair( 1,6 ); std::vector< std::pair > i2(3); - i2[0] = std::pair( 2,3 ); - i2[1] = std::pair( 4,5); - i2[2] = std::pair( 6,7 ); + 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 , 3 ); - Vector_distances_in_diagram< euclidean_distance > B( i1 , 3 ); + Vector_distances_in_diagram< euclidean_distance > A( i1 , -1 ); + Vector_distances_in_diagram< euclidean_distance > B( i1 , -1 ); std::vector< Abs_Topological_data_with_averages* > to_average; to_average.push_back( (Abs_Topological_data_with_averages*)(&A) ); @@ -329,8 +344,10 @@ BOOST_AUTO_TEST_CASE(check_compute_average) Vector_distances_in_diagram< euclidean_distance > average; average.compute_average( to_average ); - - std::vector< double > vect = average.output_for_visualization(); + Vector_distances_in_diagram< euclidean_distance > template_average; + template_average.load_from_file( "data/average_of_persistence_vectors" ); + + BOOST_CHECK( template_average == average ); } -- cgit v1.2.3 From 8dd721b679fa47fba3fed14cf06b8cc64f3c2e1b Mon Sep 17 00:00:00 2001 From: pdlotko Date: Mon, 26 Sep 2016 08:43:03 +0000 Subject: scalar product for persistence landscapes o a grid have been corrected. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1562 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 4c9acc20802a6c147daea30200124fceba39cfdd --- src/Gudhi_stat/example/persistence_landscape.cpp | 4 ++-- .../example/persistence_landscape_on_grid | Bin 76816 -> 76816 bytes .../example/persistence_landscape_on_grid.cpp | 9 +++++++-- .../persistence_landscapes/average_landscapes | Bin 99922 -> 99922 bytes .../persistence_landscapes/create_landscapes | Bin 99645 -> 99645 bytes .../persistence_landscapes/plot_landscapes | Bin 99584 -> 99584 bytes .../test/persistence_lanscapes_on_grid_test.cpp | 12 ++++++------ 7 files changed, 15 insertions(+), 10 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/persistence_landscape.cpp b/src/Gudhi_stat/example/persistence_landscape.cpp index ab58886a..a5b726c7 100644 --- a/src/Gudhi_stat/example/persistence_landscape.cpp +++ b/src/Gudhi_stat/example/persistence_landscape.cpp @@ -159,9 +159,9 @@ int main( int argc , char** argv ) { 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; - + cout << "Scalar product : " << p.compute_scalar_product( &q ) << endl; } + return 0; } diff --git a/src/Gudhi_stat/example/persistence_landscape_on_grid b/src/Gudhi_stat/example/persistence_landscape_on_grid index c65856d8..0a0603da 100755 Binary files a/src/Gudhi_stat/example/persistence_landscape_on_grid and b/src/Gudhi_stat/example/persistence_landscape_on_grid differ diff --git a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp index 7781493b..2807d76f 100644 --- a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp +++ b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp @@ -133,8 +133,13 @@ int main( int argc , char** argv ) */ - 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 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/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes b/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes index c0314c43..b941b19a 100755 Binary files a/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes and b/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes differ diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes b/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes index f6a5c292..3136aab1 100755 Binary files a/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes and b/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes differ diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes b/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes index c2cf5d4f..5e63470e 100755 Binary files a/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes and b/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes differ diff --git a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp index fb95b9d1..7d0b58a5 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp @@ -242,13 +242,13 @@ BOOST_AUTO_TEST_CASE(check_computations_of_distances) BOOST_CHECK( fabs( p.distance( &q , -1 )-0.359 ) <= 0.00001 ); } -/* - * TODO + BOOST_AUTO_TEST_CASE(check_computations_of_scalar_product) { - Persistence_landscape p( "data/file_with_diagram" ); - Persistence_landscape q( "data/file_with_diagram_1" ); - BOOST_CHECK( fabs( p.compute_scalar_product( &q ) - 0.754498 ) <= 0.00001 ); -}*/ + 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 ) , p.compute_scalar_product( &q ) ) ); +} -- cgit v1.2.3 From adfad214ae49658a3ad5578a2bcba7bb323849ef Mon Sep 17 00:00:00 2001 From: pdlotko Date: Mon, 26 Sep 2016 09:05:10 +0000 Subject: adding vizialuzation subroutine for persistence vectors. Now the list of utilities is the same for all representations of persistence. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1563 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: a84a0ab5d9951b8f140b4d86b632b2e91aefe6b8 --- src/Gudhi_stat/example/CMakeLists.txt | 2 + .../concretizations/Vector_distances_in_diagram.h | 45 +++++++++++++++++++++- 2 files changed, 46 insertions(+), 1 deletion(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/CMakeLists.txt b/src/Gudhi_stat/example/CMakeLists.txt index 0dd35dd6..e7573cc6 100644 --- a/src/Gudhi_stat/example/CMakeLists.txt +++ b/src/Gudhi_stat/example/CMakeLists.txt @@ -99,4 +99,6 @@ target_link_libraries(utilities/persistence_vectors/compute_distance_of_persiste add_executable ( utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp ) target_link_libraries(utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors ${Boost_SYSTEM_LIBRARY}) +add_executable ( utilities/persistence_vectors/plot_persistence_vectors utilities/persistence_vectors/plot_persistence_vectors.cpp ) +target_link_libraries(utilities/persistence_vectors/plot_persistence_vectors ${Boost_SYSTEM_LIBRARY}) diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h index 8c3d0f37..5870c652 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h @@ -170,17 +170,60 @@ public: } //concretization of abstract methods: + /** + * Compute projection to real numbers of persistence vector. + **/ double project_to_R( int number_of_function ); + + /** + * Compute a vectorization of a persistent vectors. + **/ std::vector vectorize( int number_of_function ); + + /** + * Compute a average of two persistent vectors. + **/ void compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ); + + /** + * Compute a distance of two persistent vectors. + **/ double distance( const Abs_Topological_data_with_distances* second , double power = 1); + + /** + * Compute a scalar product of two persistent vectors. + **/ double compute_scalar_product( const Abs_Topological_data_with_scalar_product* second ); - //For visualization use output from vectorize and build histograms. + /** + * For visualization use output from vectorize and build histograms. + **/ std::vector< double > output_for_visualization() { return this->sorted_vector_of_distnaces; } + + /** + * Create a gnuplot script to vizualize the data structure. + **/ + void plot( const char* filename ) + { + std::stringstream gnuplot_script; + gnuplot_script << filename << "_Gnuplot_script"; + ofstream out; + out.open( gnuplot_script.str().c_str() ); + out << "set style data histogram" << std::endl; + out << "set style histogram cluster gap 1" << std::endl; + out << "set style fill solid border -1" << std::endl; + out << "plot '-' notitle" << std::endl; + for ( size_t i = 0 ; i != this->sorted_vector_of_distnaces.size() ; ++i ) + { + out << this->sorted_vector_of_distnaces[i] << std::endl; + } + out << endl; + out.close(); + std::cout << "To vizualize, open gnuplot and type: load \'" << gnuplot_script.str().c_str() << "\'" << std::endl; + } private: -- cgit v1.2.3 From 6a08b0fac072722441bff1e36ad7d5f291ac1b1d Mon Sep 17 00:00:00 2001 From: pdlotko Date: Mon, 26 Sep 2016 09:05:46 +0000 Subject: this time with a file... git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1564 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 2d78c8680926eb9c409b8e09e62ea6d082d5665f --- .../plot_persistence_vectors.cpp | 51 ++++++++++++++++++++++ 1 file changed, 51 insertions(+) create mode 100644 src/Gudhi_stat/example/utilities/persistence_vectors/plot_persistence_vectors.cpp (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/utilities/persistence_vectors/plot_persistence_vectors.cpp b/src/Gudhi_stat/example/utilities/persistence_vectors/plot_persistence_vectors.cpp new file mode 100644 index 00000000..ad6c06e2 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_vectors/plot_persistence_vectors.cpp @@ -0,0 +1,51 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program create a Gnuplot script to plot persistence vector. Please call this program with the name of file with persistence vector. \n"; + if ( argc != 2 ) + { + std::cout << "Wrong number of parameters, the program will now terminate. \n"; + return 1; + } + Vector_distances_in_diagram< euclidean_distance > l; + l.load_from_file( argv[1] ); + l.plot( argv[1] ); + + return 0; +} + -- cgit v1.2.3 From a70ddca72229b72db355b1bd1c04afc272084e6b Mon Sep 17 00:00:00 2001 From: pdlotko Date: Mon, 26 Sep 2016 11:15:27 +0000 Subject: Adding PSSK implmentation (based on persistent heat maps). git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1565 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 2b5a6fc2fa34d098cc53b53e6cee0d3dd65193db --- src/Gudhi_stat/example/CMakeLists.txt | 17 ++ .../example/utilities/PSSK/average_pssk.cpp | 73 +++++++++ .../utilities/PSSK/compute_distance_of_pssk.cpp | 107 +++++++++++++ .../PSSK/compute_scalar_product_of_pssk.cpp | 90 +++++++++++ .../example/utilities/PSSK/create_pssk.cpp | 77 +++++++++ .../example/utilities/PSSK/plot_pssk.cpp | 44 ++++++ .../create_persistence_heat_maps.cpp | 2 +- .../include/gudhi/concretizations/PSSK.h | 173 +++++++++++++++++++++ .../gudhi/concretizations/Persistence_heat_maps.h | 2 +- 9 files changed, 583 insertions(+), 2 deletions(-) create mode 100644 src/Gudhi_stat/example/utilities/PSSK/average_pssk.cpp create mode 100644 src/Gudhi_stat/example/utilities/PSSK/compute_distance_of_pssk.cpp create mode 100644 src/Gudhi_stat/example/utilities/PSSK/compute_scalar_product_of_pssk.cpp create mode 100644 src/Gudhi_stat/example/utilities/PSSK/create_pssk.cpp create mode 100644 src/Gudhi_stat/example/utilities/PSSK/plot_pssk.cpp create mode 100644 src/Gudhi_stat/include/gudhi/concretizations/PSSK.h (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/CMakeLists.txt b/src/Gudhi_stat/example/CMakeLists.txt index e7573cc6..b0c3b15f 100644 --- a/src/Gudhi_stat/example/CMakeLists.txt +++ b/src/Gudhi_stat/example/CMakeLists.txt @@ -102,3 +102,20 @@ target_link_libraries(utilities/persistence_vectors/compute_scalar_product_of_pe add_executable ( utilities/persistence_vectors/plot_persistence_vectors utilities/persistence_vectors/plot_persistence_vectors.cpp ) target_link_libraries(utilities/persistence_vectors/plot_persistence_vectors ${Boost_SYSTEM_LIBRARY}) + +#PSSK +add_executable ( utilities/PSSK/average_pssk utilities/PSSK/average_pssk.cpp ) +target_link_libraries(utilities/PSSK/average_pssk ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/PSSK/create_pssk utilities/PSSK/create_pssk.cpp ) +target_link_libraries(utilities/PSSK/create_pssk ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/PSSK/plot_pssk utilities/PSSK/plot_pssk.cpp ) +target_link_libraries(utilities/PSSK/plot_pssk ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/PSSK/compute_distance_of_pssk utilities/PSSK/compute_distance_of_pssk.cpp ) +target_link_libraries(utilities/PSSK/compute_distance_of_pssk ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/PSSK/compute_scalar_product_of_pssk utilities/PSSK/compute_scalar_product_of_pssk.cpp ) +target_link_libraries(utilities/PSSK/compute_scalar_product_of_pssk ${Boost_SYSTEM_LIBRARY}) + diff --git a/src/Gudhi_stat/example/utilities/PSSK/average_pssk.cpp b/src/Gudhi_stat/example/utilities/PSSK/average_pssk.cpp new file mode 100644 index 00000000..08ea60d3 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/PSSK/average_pssk.cpp @@ -0,0 +1,73 @@ +/* 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 Sophia-Saclay (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 . + */ + + + +//gudhi include +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program computes average persistence landscape of persistence landscapes created based on persistence diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; + std::vector< const char* > filenames; + + if ( argc == 1 ) + { + std::cout << "No input files given, the program will now terminate \n"; + return 1; + } + + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Creating persistence landscapes...\n"; + std::vector< Abs_Topological_data_with_averages* > maps; + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + PSSK* l = new PSSK; + l->load_from_file( filenames[i] ); + maps.push_back( (Abs_Topological_data_with_averages*)l ); + } + + PSSK av; + av.compute_average( maps ); + + av.print_to_file( "average.pssk" ); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + delete maps[i]; + } + + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/PSSK/compute_distance_of_pssk.cpp b/src/Gudhi_stat/example/utilities/PSSK/compute_distance_of_pssk.cpp new file mode 100644 index 00000000..8eacbd70 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/PSSK/compute_distance_of_pssk.cpp @@ -0,0 +1,107 @@ +/* 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 Sophia-Saclay (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 . + */ + + + +//gudhi include +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute dsitance of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The first parameter of a program is an interger p. The program compute L^p distance of the two landscapes. For L^infty distance choose p = -1. \n"; + std::cout << "The remaining parameters of this programs are names of files with persistence landscapes.\n"; + + if ( argc < 3 ) + { + std::cout << "Wrong number of parameters, the program will now terminate \n"; + return 1; + } + + int p = atoi( argv[1] ); + + std::vector< const char* > filenames; + for ( int i = 2 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Abs_Topological_data_with_distances* > maps; + maps.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + PSSK* l = new PSSK; + l->load_from_file( filenames[file_no] ); + maps.push_back( (Abs_Topological_data_with_distances*)l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > distance( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + distance[i] = v; + } + + //and now we can compute the distnaces: + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + for ( size_t j = i ; j != filenames.size() ; ++j ) + { + distance[i][j] = distance[j][i] = ((Persistence_heat_maps*)maps[i])->distance( maps[j] , p ) ; + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "distance" ); + for ( size_t i = 0 ; i != distance.size() ; ++i ) + { + for ( size_t j = 0 ; j != distance.size() ; ++j ) + { + cout << distance[i][j] << " "; + out << distance[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + return 0; +} + + + + + + + diff --git a/src/Gudhi_stat/example/utilities/PSSK/compute_scalar_product_of_pssk.cpp b/src/Gudhi_stat/example/utilities/PSSK/compute_scalar_product_of_pssk.cpp new file mode 100644 index 00000000..048b581c --- /dev/null +++ b/src/Gudhi_stat/example/utilities/PSSK/compute_scalar_product_of_pssk.cpp @@ -0,0 +1,90 @@ +/* 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 Sophia-Saclay (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 . + */ + + +//gudhi include +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute scalar product of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The parameters of this programs are names of files with persistence landscapes.\n"; + + std::vector< const char* > filenames; + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< PSSK* > maps; + maps.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + PSSK* l = new PSSK; + l->load_from_file( filenames[file_no] ); + maps.push_back( l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > scalar_product( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + scalar_product[i] = v; + } + + //and now we can compute the scalar product: + for ( size_t i = 0 ; i != maps.size() ; ++i ) + { + for ( size_t j = i ; j != maps.size() ; ++j ) + { + scalar_product[i][j] = scalar_product[j][i] = ((Persistence_heat_maps*)maps[i])->compute_scalar_product( maps[j] ) ; + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "scalar_product" ); + for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) + { + for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) + { + cout << scalar_product[i][j] << " "; + out << scalar_product[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/PSSK/create_pssk.cpp b/src/Gudhi_stat/example/utilities/PSSK/create_pssk.cpp new file mode 100644 index 00000000..ccd884ec --- /dev/null +++ b/src/Gudhi_stat/example/utilities/PSSK/create_pssk.cpp @@ -0,0 +1,77 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates PSSK of diagrams provided as an input.\n"; + std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; + std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; + std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; + std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; + + if ( argc < 5 ) + { + std::cout << "Wrong parameter list, the program will now terminate \n"; + return 1; + } + + size_t size_of_grid = (size_t)atoi( argv[1] ); + double min_ = atof( argv[2] ); + double max_ = atof( argv[3] ); + size_t stdiv = atof( argv[4] ); + + std::vector< const char* > filenames; + for ( int i = 5 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Creating persistence heat maps...\n"; + std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; + PSSK l( filenames[i] , filter , size_of_grid , min_ , max_ ); + + std::stringstream ss; + ss << filenames[i] << ".pssk"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/PSSK/plot_pssk.cpp b/src/Gudhi_stat/example/utilities/PSSK/plot_pssk.cpp new file mode 100644 index 00000000..141024a5 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/PSSK/plot_pssk.cpp @@ -0,0 +1,44 @@ +/* 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 Sophia-Saclay (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 . + */ + + + +//gudhi include +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program plot persistence landscape stored in a file (the file needs to be created beforehand). Please call the code with the name of a landsape file \n"; + PSSK l; + l.load_from_file( argv[1] ); + l.plot( argv[1] ); + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp index 14a25918..3d8dc2e8 100644 --- a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp @@ -37,7 +37,7 @@ using namespace Gudhi::Gudhi_stat; int main( int argc , char** argv ) { - std::cout << "This program creates persistence landscape on grid of diagrams provided as an input.\n"; + std::cout << "This program creates persistence heat map of diagrams provided as an input.\n"; std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; diff --git a/src/Gudhi_stat/include/gudhi/concretizations/PSSK.h b/src/Gudhi_stat/include/gudhi/concretizations/PSSK.h new file mode 100644 index 00000000..61597ee2 --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/concretizations/PSSK.h @@ -0,0 +1,173 @@ +/* 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 Sophia-Saclay (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 . + */ + +#pragma once +#ifndef PSSK_H +#define PSSK_H + +//gudhi include +#include + + +namespace Gudhi +{ +namespace Gudhi_stat +{ + +/** +* This is a version of a representation presented in https://arxiv.org/abs/1412.6821 +* In that paper the authors are using the representation just to compute kernel. Over here, we extend the usability by far. +* Note that the version presented here is not exact, since we are discretizing the kernel. +* The only difference with respect to the original class is the method of creation. We have full (square) image, and for every point (p,q), we add a kernel at (p,q) and the negative kernel +* at (q,p) +**/ + +class PSSK : public Persistence_heat_maps +{ +public: + PSSK():Persistence_heat_maps(){} + + PSSK(const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ) + :Persistence_heat_maps() + { + this->construct( interval , filter , number_of_pixels , min_ , max_ ); + } + + + PSSK( const char* filename , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ): + Persistence_heat_maps() + { + std::vector< std::pair< double , double > > intervals_ = read_standard_file( filename ); + this->construct( intervals_ , filter , number_of_pixels , min_ , max_ ); + } + +protected: + void construct( const std::vector< std::pair >& intervals_ , + std::vector< std::vector > filter = create_Gaussian_filter(5,1), + size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); +}; + +//if min_ == max_, then the program is requested to set up the values itself based on persistence intervals +void PSSK::construct( const std::vector< std::pair >& intervals_ , + std::vector< std::vector > filter, + size_t number_of_pixels , double min_ , double max_ ) +{ + bool dbg = false; + if ( dbg ){std::cerr << "Entering construct procedure \n";getchar();} + + if ( min_ == max_ ) + { + //in this case, we want the program to set up the min_ and max_ values by itself. + min_ = std::numeric_limits::max(); + max_ = -std::numeric_limits::max(); + + + for ( size_t i = 0 ; i != intervals_.size() ; ++i ) + { + if ( intervals_[i].first < min_ )min_ = intervals_[i].first; + if ( intervals_[i].second > max_ )max_ = intervals_[i].second; + } + //now we have the structure filled in, and moreover we know min_ and max_ values of the interval, so we know the range. + + //add some more space: + min_ -= fabs(max_ - min_)/100; + max_ += fabs(max_ - min_)/100; + } + + if ( dbg ) + { + cerr << "min_ : " << min_ << endl; + cerr << "max_ : " << max_ << endl; + cerr << "number_of_pixels : " << number_of_pixels << endl; + getchar(); + } + + this->min_ = min_; + this->max_ = max_; + this->scalling_function_with_respect_to_distance_from_diagonal = scalling_function_with_respect_to_distance_from_diagonal; + + + //initialization of the structure heat_map + std::vector< std::vector > heat_map_; + for ( size_t i = 0 ; i != number_of_pixels ; ++i ) + { + std::vector v( number_of_pixels , 0 ); + heat_map_.push_back( v ); + } + this->heat_map = heat_map_; + + if (dbg)cerr << "Done creating of the heat map, now we will fill in the structure \n"; + + for ( size_t pt_nr = 0 ; pt_nr != intervals_.size() ; ++pt_nr ) + { + //compute the value of intervals_[pt_nr] in the grid: + int x_grid = (int)((intervals_[pt_nr].first - this->min_)/( this->max_-this->min_ )*number_of_pixels); + int y_grid = (int)((intervals_[pt_nr].second - this->min_)/( this->max_-this->min_ )*number_of_pixels); + + if ( dbg ) + { + std::cerr << "point : " << intervals_[pt_nr].first << " , " << intervals_[pt_nr].second << endl; + std::cerr << "x_grid : " << x_grid << endl; + std::cerr << "y_grid : " << y_grid << endl; + } + + //x_grid and y_grid gives a center of the kernel. We want to have its lower left cordner. To get this, we need to shift x_grid and y_grid by a grid diameter. + x_grid -= filter.size()/2; + y_grid -= filter.size()/2; + //note that the numbers x_grid and y_grid may be negative. + + if ( dbg ) + { + std::cerr << "After shift : \n";; + std::cerr << "x_grid : " << x_grid << endl; + std::cerr << "y_grid : " << y_grid << endl; + std::cerr << "filter.size() : " << filter.size() << std::endl; + getchar(); + } + + + for ( size_t i = 0 ; i != filter.size() ; ++i ) + { + for ( size_t j = 0 ; j != filter.size() ; ++j ) + { + //if the point (x_grid+i,y_grid+j) is the correct point in the grid. + if ( + ((x_grid+i)>=0) && (x_grid+iheat_map.size()) + && + ((y_grid+j)>=0) && (y_grid+jheat_map.size()) + ) + { + if ( dbg ){std::cerr << y_grid+j << " " << x_grid+i << std::endl;} + this->heat_map[ y_grid+j ][ x_grid+i ] += filter[i][j]; + this->heat_map[ x_grid+i ][ y_grid+j ] += -filter[i][j]; + } + } + } + + } +}//construct + + +#endif + +}//namespace Gudhi_stat +}//namespace Gudhi diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h index 6d06ac8e..9d00a221 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h @@ -314,7 +314,7 @@ public: void compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ); double compute_scalar_product( const Abs_Topological_data_with_scalar_product* second_ ); -private: +protected: //private methods std::vector< std::vector > check_and_initialize_maps( const std::vector& maps ); void construct( const std::vector< std::pair >& intervals_ , -- cgit v1.2.3 From f07fc696dbb57d162b383f509619b99340f600d2 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Wed, 28 Sep 2016 12:51:57 +0000 Subject: a few modifications to persisntence heat maps. Removing PSSK, since it is not needed. PSSk is exactluy the same as any other heat map. The difference is the way it is created. Comparision, averaging or scalar products are the same. That is why I have removed PSSK folder, and add a few other ways of creating heat maps in persistence_heat_maps folder. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1580 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 2f8f2bde0fdbe69b582d0afdbb5bf6e4fe3fff31 --- .../example/utilities/PSSK/average_pssk.cpp | 73 ------- .../utilities/PSSK/compute_distance_of_pssk.cpp | 107 ---------- .../PSSK/compute_scalar_product_of_pssk.cpp | 90 --------- .../example/utilities/PSSK/create_pssk.cpp | 77 -------- .../example/utilities/PSSK/plot_pssk.cpp | 44 ----- ...at_maps_weighted_by_arctan_of_their_persistence | Bin 0 -> 80766 bytes ...aps_weighted_by_arctan_of_their_persistence.cpp | 79 ++++++++ ...eat_maps_weighted_by_distance_from_diagonal.cpp | 79 ++++++++ ..._weighted_by_squared_distance_from_diagonal.cpp | 79 ++++++++ .../persistence_heat_maps/create_pssk.cpp | 77 ++++++++ .../example/utilities/persistence_intervals/aaa | 53 ++++- .../persistence_intervals/aaa_Gnuplot_script | 216 ++++++++++++++++++++- 12 files changed, 571 insertions(+), 403 deletions(-) delete mode 100644 src/Gudhi_stat/example/utilities/PSSK/average_pssk.cpp delete mode 100644 src/Gudhi_stat/example/utilities/PSSK/compute_distance_of_pssk.cpp delete mode 100644 src/Gudhi_stat/example/utilities/PSSK/compute_scalar_product_of_pssk.cpp delete mode 100644 src/Gudhi_stat/example/utilities/PSSK/create_pssk.cpp delete mode 100644 src/Gudhi_stat/example/utilities/PSSK/plot_pssk.cpp create mode 100755 src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence create mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/create_pssk.cpp (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/utilities/PSSK/average_pssk.cpp b/src/Gudhi_stat/example/utilities/PSSK/average_pssk.cpp deleted file mode 100644 index 08ea60d3..00000000 --- a/src/Gudhi_stat/example/utilities/PSSK/average_pssk.cpp +++ /dev/null @@ -1,73 +0,0 @@ -/* 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 Sophia-Saclay (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 . - */ - - - -//gudhi include -#include - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program computes average persistence landscape of persistence landscapes created based on persistence diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; - std::vector< const char* > filenames; - - if ( argc == 1 ) - { - std::cout << "No input files given, the program will now terminate \n"; - return 1; - } - - for ( int i = 1 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - - std::cout << "Creating persistence landscapes...\n"; - std::vector< Abs_Topological_data_with_averages* > maps; - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - PSSK* l = new PSSK; - l->load_from_file( filenames[i] ); - maps.push_back( (Abs_Topological_data_with_averages*)l ); - } - - PSSK av; - av.compute_average( maps ); - - av.print_to_file( "average.pssk" ); - - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - delete maps[i]; - } - - std::cout << "Done \n"; - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/PSSK/compute_distance_of_pssk.cpp b/src/Gudhi_stat/example/utilities/PSSK/compute_distance_of_pssk.cpp deleted file mode 100644 index 8eacbd70..00000000 --- a/src/Gudhi_stat/example/utilities/PSSK/compute_distance_of_pssk.cpp +++ /dev/null @@ -1,107 +0,0 @@ -/* 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 Sophia-Saclay (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 . - */ - - - -//gudhi include -#include - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program compute dsitance of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; - std::cout << "The first parameter of a program is an interger p. The program compute L^p distance of the two landscapes. For L^infty distance choose p = -1. \n"; - std::cout << "The remaining parameters of this programs are names of files with persistence landscapes.\n"; - - if ( argc < 3 ) - { - std::cout << "Wrong number of parameters, the program will now terminate \n"; - return 1; - } - - int p = atoi( argv[1] ); - - std::vector< const char* > filenames; - for ( int i = 2 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - std::vector< Abs_Topological_data_with_distances* > maps; - maps.reserve( filenames.size() ); - for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) - { - PSSK* l = new PSSK; - l->load_from_file( filenames[file_no] ); - maps.push_back( (Abs_Topological_data_with_distances*)l ); - } - - //and now we will compute the scalar product of landscapes. - - //first we prepare an array: - std::vector< std::vector< double > > distance( filenames.size() ); - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::vector< double > v( filenames.size() , 0 ); - distance[i] = v; - } - - //and now we can compute the distnaces: - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - for ( size_t j = i ; j != filenames.size() ; ++j ) - { - distance[i][j] = distance[j][i] = ((Persistence_heat_maps*)maps[i])->distance( maps[j] , p ) ; - } - } - - //and now output the result to the screen and a file: - ofstream out; - out.open( "distance" ); - for ( size_t i = 0 ; i != distance.size() ; ++i ) - { - for ( size_t j = 0 ; j != distance.size() ; ++j ) - { - cout << distance[i][j] << " "; - out << distance[i][j] << " "; - } - cout << endl; - out << endl; - } - out.close(); - - return 0; -} - - - - - - - diff --git a/src/Gudhi_stat/example/utilities/PSSK/compute_scalar_product_of_pssk.cpp b/src/Gudhi_stat/example/utilities/PSSK/compute_scalar_product_of_pssk.cpp deleted file mode 100644 index 048b581c..00000000 --- a/src/Gudhi_stat/example/utilities/PSSK/compute_scalar_product_of_pssk.cpp +++ /dev/null @@ -1,90 +0,0 @@ -/* 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 Sophia-Saclay (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 . - */ - - -//gudhi include -#include - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program compute scalar product of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; - std::cout << "The parameters of this programs are names of files with persistence landscapes.\n"; - - std::vector< const char* > filenames; - for ( int i = 1 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - std::vector< PSSK* > maps; - maps.reserve( filenames.size() ); - for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) - { - PSSK* l = new PSSK; - l->load_from_file( filenames[file_no] ); - maps.push_back( l ); - } - - //and now we will compute the scalar product of landscapes. - - //first we prepare an array: - std::vector< std::vector< double > > scalar_product( filenames.size() ); - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::vector< double > v( filenames.size() , 0 ); - scalar_product[i] = v; - } - - //and now we can compute the scalar product: - for ( size_t i = 0 ; i != maps.size() ; ++i ) - { - for ( size_t j = i ; j != maps.size() ; ++j ) - { - scalar_product[i][j] = scalar_product[j][i] = ((Persistence_heat_maps*)maps[i])->compute_scalar_product( maps[j] ) ; - } - } - - //and now output the result to the screen and a file: - ofstream out; - out.open( "scalar_product" ); - for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) - { - for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) - { - cout << scalar_product[i][j] << " "; - out << scalar_product[i][j] << " "; - } - cout << endl; - out << endl; - } - out.close(); - - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/PSSK/create_pssk.cpp b/src/Gudhi_stat/example/utilities/PSSK/create_pssk.cpp deleted file mode 100644 index ccd884ec..00000000 --- a/src/Gudhi_stat/example/utilities/PSSK/create_pssk.cpp +++ /dev/null @@ -1,77 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - - -int main( int argc , char** argv ) -{ - std::cout << "This program creates PSSK of diagrams provided as an input.\n"; - std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; - std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; - std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; - std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; - - if ( argc < 5 ) - { - std::cout << "Wrong parameter list, the program will now terminate \n"; - return 1; - } - - size_t size_of_grid = (size_t)atoi( argv[1] ); - double min_ = atof( argv[2] ); - double max_ = atof( argv[3] ); - size_t stdiv = atof( argv[4] ); - - std::vector< const char* > filenames; - for ( int i = 5 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - - std::cout << "Creating persistence heat maps...\n"; - std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); - - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; - PSSK l( filenames[i] , filter , size_of_grid , min_ , max_ ); - - std::stringstream ss; - ss << filenames[i] << ".pssk"; - l.print_to_file( ss.str().c_str() ); - } - std::cout << "Done \n"; - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/PSSK/plot_pssk.cpp b/src/Gudhi_stat/example/utilities/PSSK/plot_pssk.cpp deleted file mode 100644 index 141024a5..00000000 --- a/src/Gudhi_stat/example/utilities/PSSK/plot_pssk.cpp +++ /dev/null @@ -1,44 +0,0 @@ -/* 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 Sophia-Saclay (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 . - */ - - - -//gudhi include -#include - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program plot persistence landscape stored in a file (the file needs to be created beforehand). Please call the code with the name of a landsape file \n"; - PSSK l; - l.load_from_file( argv[1] ); - l.plot( argv[1] ); - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence new file mode 100755 index 00000000..08e53590 Binary files /dev/null and b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence differ diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp new file mode 100644 index 00000000..253320ff --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp @@ -0,0 +1,79 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates persistence heat map of diagrams provided as an input. The Gaussian kernels are weighted by the arcus tangens of their persistence.\n"; + std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; + std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; + std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; + std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; + + if ( argc < 5 ) + { + std::cout << "Wrong parameter list, the program will now terminate \n"; + return 1; + } + + size_t size_of_grid = (size_t)atoi( argv[1] ); + double min_ = atof( argv[2] ); + double max_ = atof( argv[3] ); + size_t stdiv = atof( argv[4] ); + + std::vector< const char* > filenames; + for ( int i = 5 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + + + std::cout << "Creating persistence heat maps...\n"; + std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; + Persistence_heat_maps l( filenames[i] , filter, arc_tan_of_persistence_of_point, false , size_of_grid , min_ , max_ ); + + std::stringstream ss; + ss << filenames[i] << ".mps"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp new file mode 100644 index 00000000..d7f4fbdd --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp @@ -0,0 +1,79 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates persistence heat map of diagrams provided as an input. The Gaussian kernels are weighted by the distance of a center from the diagonal.\n"; + std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; + std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; + std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; + std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; + + if ( argc < 5 ) + { + std::cout << "Wrong parameter list, the program will now terminate \n"; + return 1; + } + + size_t size_of_grid = (size_t)atoi( argv[1] ); + double min_ = atof( argv[2] ); + double max_ = atof( argv[3] ); + size_t stdiv = atof( argv[4] ); + + std::vector< const char* > filenames; + for ( int i = 5 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + + + std::cout << "Creating persistence heat maps...\n"; + std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; + Persistence_heat_maps l( filenames[i] , filter, distance_from_diagonal, false , size_of_grid , min_ , max_ ); + + std::stringstream ss; + ss << filenames[i] << ".mps"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp new file mode 100644 index 00000000..eac0d067 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp @@ -0,0 +1,79 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates persistence heat map of diagrams provided as an input. The Gaussian kernels are weighted by the square of distance of a center from the diagonal.\n"; + std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; + std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; + std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; + std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; + + if ( argc < 5 ) + { + std::cout << "Wrong parameter list, the program will now terminate \n"; + return 1; + } + + size_t size_of_grid = (size_t)atoi( argv[1] ); + double min_ = atof( argv[2] ); + double max_ = atof( argv[3] ); + size_t stdiv = atof( argv[4] ); + + std::vector< const char* > filenames; + for ( int i = 5 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + + + std::cout << "Creating persistence heat maps...\n"; + std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; + Persistence_heat_maps l( filenames[i] , filter, squared_distance_from_diagonal, false , size_of_grid , min_ , max_ ); + + std::stringstream ss; + ss << filenames[i] << ".mps"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_pssk.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_pssk.cpp new file mode 100644 index 00000000..ccd884ec --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_pssk.cpp @@ -0,0 +1,77 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates PSSK of diagrams provided as an input.\n"; + std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; + std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; + std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; + std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; + + if ( argc < 5 ) + { + std::cout << "Wrong parameter list, the program will now terminate \n"; + return 1; + } + + size_t size_of_grid = (size_t)atoi( argv[1] ); + double min_ = atof( argv[2] ); + double max_ = atof( argv[3] ); + size_t stdiv = atof( argv[4] ); + + std::vector< const char* > filenames; + for ( int i = 5 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Creating persistence heat maps...\n"; + std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; + PSSK l( filenames[i] , filter , size_of_grid , min_ , max_ ); + + std::stringstream ss; + ss << filenames[i] << ".pssk"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/aaa b/src/Gudhi_stat/example/utilities/persistence_intervals/aaa index c0db80ab..5aed2ec0 100644 --- a/src/Gudhi_stat/example/utilities/persistence_intervals/aaa +++ b/src/Gudhi_stat/example/utilities/persistence_intervals/aaa @@ -1,2 +1,51 @@ -1 2 -5 6 \ No newline at end of file +0.254583 0.837489 +0.25491 0.410985 +0.262238 0.405964 +0.233498 0.338685 +0.253282 0.344571 +0.249923 0.339748 +0.179532 0.263873 +0.247402 0.323782 +0.181315 0.249492 +0.160746 0.22547 +0.170367 0.232149 +0.192048 0.253065 +0.27298 0.333994 +0.202383 0.260308 +0.278325 0.329157 +0.176624 0.226215 +0.200184 0.249281 +0.275607 0.323516 +0.178408 0.224032 +0.319435 0.362706 +0.184347 0.226301 +0.19342 0.23356 +0.143554 0.180648 +0.313975 0.34917 +0.260887 0.29465 +0.206395 0.23344 +0.272846 0.298156 +0.222294 0.246925 +0.272951 0.295696 +0.235421 0.257957 +0.277907 0.29913 +0.16591 0.186925 +0.223042 0.243167 +0.435025 0.454885 +0.151992 0.169807 +0.138011 0.155776 +0.218083 0.235837 +0.219364 0.237079 +0.297063 0.313899 +0.282666 0.298727 +0.24199 0.256381 +0.302722 0.316677 +0.160453 0.174076 +0.157689 0.169984 +0.192957 0.204705 +0.153738 0.165306 +0.226448 0.237898 +0.243627 0.252613 +0.210126 0.21907 +0.172082 0.177708 +0.232291 0.234521 diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/aaa_Gnuplot_script b/src/Gudhi_stat/example/utilities/persistence_intervals/aaa_Gnuplot_script index af68b9b9..3ff83e9c 100644 --- a/src/Gudhi_stat/example/utilities/persistence_intervals/aaa_Gnuplot_script +++ b/src/Gudhi_stat/example/utilities/persistence_intervals/aaa_Gnuplot_script @@ -1,12 +1,208 @@ -set xrange [0.95 : 6.0505] -set yrange [0 : 1.01] +set xrange [0.131016 : 0.844554] +set yrange [0 : 16.16] plot '-' using 1:2 notitle with lp -1 0 -1 1 -2 1 -2 0 -5 0 -5 1 -6 1 -6 0 +0.138011 0 +0.138011 1 +0.143554 1 +0.143554 2 +0.151992 2 +0.151992 3 +0.153738 3 +0.153738 4 +0.155776 4 +0.155776 3 +0.157689 3 +0.157689 4 +0.160453 4 +0.160453 5 +0.160746 5 +0.160746 6 +0.165306 6 +0.165306 5 +0.16591 5 +0.16591 6 +0.169807 6 +0.169807 5 +0.169984 5 +0.169984 4 +0.170367 4 +0.170367 5 +0.172082 5 +0.172082 6 +0.174076 6 +0.174076 5 +0.176624 5 +0.176624 6 +0.177708 6 +0.177708 5 +0.178408 5 +0.178408 6 +0.179532 6 +0.179532 7 +0.180648 7 +0.180648 6 +0.181315 6 +0.181315 7 +0.184347 7 +0.184347 8 +0.186925 8 +0.186925 7 +0.192048 7 +0.192048 8 +0.192957 8 +0.192957 9 +0.19342 9 +0.19342 10 +0.200184 10 +0.200184 11 +0.202383 11 +0.202383 12 +0.204705 12 +0.204705 11 +0.206395 11 +0.206395 12 +0.210126 12 +0.210126 13 +0.218083 13 +0.218083 14 +0.21907 14 +0.21907 13 +0.219364 13 +0.219364 14 +0.222294 14 +0.222294 15 +0.223042 15 +0.223042 16 +0.224032 16 +0.224032 15 +0.22547 15 +0.22547 14 +0.226215 14 +0.226215 13 +0.226301 13 +0.226301 12 +0.226448 12 +0.226448 13 +0.232149 13 +0.232149 12 +0.232291 12 +0.232291 13 +0.23344 13 +0.23344 12 +0.233498 12 +0.233498 13 +0.23356 13 +0.23356 12 +0.234521 12 +0.234521 11 +0.235421 11 +0.235421 12 +0.235837 12 +0.235837 11 +0.237079 11 +0.237079 10 +0.237898 10 +0.237898 9 +0.24199 9 +0.24199 10 +0.243167 10 +0.243167 9 +0.243627 9 +0.243627 10 +0.246925 10 +0.246925 9 +0.247402 9 +0.247402 10 +0.249281 10 +0.249281 9 +0.249492 9 +0.249492 8 +0.249923 8 +0.249923 9 +0.252613 9 +0.252613 8 +0.253065 8 +0.253065 7 +0.253282 7 +0.253282 8 +0.254583 8 +0.254583 9 +0.25491 9 +0.25491 10 +0.256381 10 +0.256381 9 +0.257957 9 +0.257957 8 +0.260308 8 +0.260308 7 +0.260887 7 +0.260887 8 +0.262238 8 +0.262238 9 +0.263873 9 +0.263873 8 +0.272846 8 +0.272846 9 +0.272951 9 +0.272951 10 +0.27298 10 +0.27298 11 +0.275607 11 +0.275607 12 +0.277907 12 +0.277907 13 +0.278325 13 +0.278325 14 +0.282666 14 +0.282666 15 +0.29465 15 +0.29465 14 +0.295696 14 +0.295696 13 +0.297063 13 +0.297063 14 +0.298156 14 +0.298156 13 +0.298727 13 +0.298727 12 +0.29913 12 +0.29913 11 +0.302722 11 +0.302722 12 +0.313899 12 +0.313899 11 +0.313975 11 +0.313975 12 +0.316677 12 +0.316677 11 +0.319435 11 +0.319435 12 +0.323516 12 +0.323516 11 +0.323782 11 +0.323782 10 +0.329157 10 +0.329157 9 +0.333994 9 +0.333994 8 +0.338685 8 +0.338685 7 +0.339748 7 +0.339748 6 +0.344571 6 +0.344571 5 +0.34917 5 +0.34917 4 +0.362706 4 +0.362706 3 +0.405964 3 +0.405964 2 +0.410985 2 +0.410985 1 +0.435025 1 +0.435025 2 +0.454885 2 +0.454885 1 +0.837489 1 +0.837489 0 -- cgit v1.2.3 From 0bc84c554a2e7ea970e3758f15e0540f4f5a7f41 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Wed, 28 Sep 2016 12:53:03 +0000 Subject: adding cmakefile + a few changes into .h files of thelibrary. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1581 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 97c6cfeb7e11e7ab4a02db022b11c909ce47307a --- src/Gudhi_stat/example/CMakeLists.txt | 30 ++++++++++++++++------ .../gudhi/concretizations/Persistence_heat_maps.h | 4 +-- 2 files changed, 24 insertions(+), 10 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/CMakeLists.txt b/src/Gudhi_stat/example/CMakeLists.txt index b0c3b15f..d963259c 100644 --- a/src/Gudhi_stat/example/CMakeLists.txt +++ b/src/Gudhi_stat/example/CMakeLists.txt @@ -86,6 +86,19 @@ target_link_libraries(utilities/persistence_heat_maps/compute_distance_of_persis add_executable ( utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp ) target_link_libraries(utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) +add_executable ( utilities/persistence_heat_maps/create_pssk utilities/persistence_heat_maps/create_pssk.cpp ) +target_link_libraries(utilities/persistence_heat_maps/create_pssk ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp ) +target_link_libraries(utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp ) +target_link_libraries(utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal ${Boost_SYSTEM_LIBRARY}) + +add_executable ( utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp ) +target_link_libraries(utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence ${Boost_SYSTEM_LIBRARY}) + + #persitence vectors add_executable ( utilities/persistence_vectors/average_persistence_vectors utilities/persistence_vectors/average_persistence_vectors.cpp ) target_link_libraries(utilities/persistence_vectors/average_persistence_vectors ${Boost_SYSTEM_LIBRARY}) @@ -104,17 +117,18 @@ target_link_libraries(utilities/persistence_vectors/plot_persistence_vectors ${B #PSSK -add_executable ( utilities/PSSK/average_pssk utilities/PSSK/average_pssk.cpp ) -target_link_libraries(utilities/PSSK/average_pssk ${Boost_SYSTEM_LIBRARY}) +#seems that this is not needed, since the only difference is the creation. The rest works the same as in the persitence heat maps. So, I have moved the creation of PSSK into the persitence heat maps folder, and use the methos from over there. +#add_executable ( utilities/PSSK/average_pssk utilities/PSSK/average_pssk.cpp ) +#target_link_libraries(utilities/PSSK/average_pssk ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/PSSK/create_pssk utilities/PSSK/create_pssk.cpp ) -target_link_libraries(utilities/PSSK/create_pssk ${Boost_SYSTEM_LIBRARY}) +#add_executable ( utilities/PSSK/create_pssk utilities/PSSK/create_pssk.cpp ) +#target_link_libraries(utilities/PSSK/create_pssk ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/PSSK/plot_pssk utilities/PSSK/plot_pssk.cpp ) -target_link_libraries(utilities/PSSK/plot_pssk ${Boost_SYSTEM_LIBRARY}) +#add_executable ( utilities/PSSK/plot_pssk utilities/PSSK/plot_pssk.cpp ) +#target_link_libraries(utilities/PSSK/plot_pssk ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/PSSK/compute_distance_of_pssk utilities/PSSK/compute_distance_of_pssk.cpp ) -target_link_libraries(utilities/PSSK/compute_distance_of_pssk ${Boost_SYSTEM_LIBRARY}) +#add_executable ( utilities/PSSK/compute_distance_of_pssk utilities/PSSK/compute_distance_of_pssk.cpp ) +#target_link_libraries(utilities/PSSK/compute_distance_of_pssk ${Boost_SYSTEM_LIBRARY}) add_executable ( utilities/PSSK/compute_scalar_product_of_pssk utilities/PSSK/compute_scalar_product_of_pssk.cpp ) target_link_libraries(utilities/PSSK/compute_scalar_product_of_pssk ${Boost_SYSTEM_LIBRARY}) diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h index 9d00a221..afb0da87 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h @@ -459,7 +459,7 @@ Persistence_heat_maps::Persistence_heat_maps( const std::vector< std::pair< doub double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ), bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) { - this->construct( interval , filter , constant_function, erase_below_diagonal , number_of_pixels , min_ , max_ ); + this->construct( interval , filter , scalling_function_with_respect_to_distance_from_diagonal, erase_below_diagonal , number_of_pixels , min_ , max_ ); this->set_up_parameters_for_basic_classes(); } @@ -470,7 +470,7 @@ Persistence_heat_maps::Persistence_heat_maps( const char* filename , bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) { std::vector< std::pair< double , double > > intervals_ = read_standard_file( filename ); - this->construct( intervals_ , filter , constant_function, erase_below_diagonal , number_of_pixels , min_ , max_ ); + this->construct( intervals_ , filter , scalling_function_with_respect_to_distance_from_diagonal, erase_below_diagonal , number_of_pixels , min_ , max_ ); this->set_up_parameters_for_basic_classes(); } -- cgit v1.2.3 From bb5705be2727f9e614950255ef4ae29942bb2668 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Tue, 4 Oct 2016 09:55:48 +0000 Subject: hopefully I am adding now all the missing files.... git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1615 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 076a4a371bbb8277d0f97df97a10a1e6567addc2 --- src/Gudhi_stat/example/CMakeLists.txt | 16 --------- .../persistence_landscapes/average_landscapes | Bin 99922 -> 99922 bytes .../persistence_landscapes/create_landscapes | Bin 99645 -> 99645 bytes .../persistence_landscapes/plot_landscapes | Bin 99584 -> 99584 bytes src/Gudhi_stat/include/gudhi/common.h | 39 +++++++++++++++++++++ src/Persistent_cohomology/example/CMakeLists.txt | 4 +-- .../example/alpha_complex_3d_persistence.cpp | 28 ++++++--------- 7 files changed, 52 insertions(+), 35 deletions(-) create mode 100644 src/Gudhi_stat/include/gudhi/common.h (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/CMakeLists.txt b/src/Gudhi_stat/example/CMakeLists.txt index d963259c..5716ff31 100644 --- a/src/Gudhi_stat/example/CMakeLists.txt +++ b/src/Gudhi_stat/example/CMakeLists.txt @@ -116,20 +116,4 @@ add_executable ( utilities/persistence_vectors/plot_persistence_vectors utilitie target_link_libraries(utilities/persistence_vectors/plot_persistence_vectors ${Boost_SYSTEM_LIBRARY}) -#PSSK -#seems that this is not needed, since the only difference is the creation. The rest works the same as in the persitence heat maps. So, I have moved the creation of PSSK into the persitence heat maps folder, and use the methos from over there. -#add_executable ( utilities/PSSK/average_pssk utilities/PSSK/average_pssk.cpp ) -#target_link_libraries(utilities/PSSK/average_pssk ${Boost_SYSTEM_LIBRARY}) - -#add_executable ( utilities/PSSK/create_pssk utilities/PSSK/create_pssk.cpp ) -#target_link_libraries(utilities/PSSK/create_pssk ${Boost_SYSTEM_LIBRARY}) - -#add_executable ( utilities/PSSK/plot_pssk utilities/PSSK/plot_pssk.cpp ) -#target_link_libraries(utilities/PSSK/plot_pssk ${Boost_SYSTEM_LIBRARY}) - -#add_executable ( utilities/PSSK/compute_distance_of_pssk utilities/PSSK/compute_distance_of_pssk.cpp ) -#target_link_libraries(utilities/PSSK/compute_distance_of_pssk ${Boost_SYSTEM_LIBRARY}) - -add_executable ( utilities/PSSK/compute_scalar_product_of_pssk utilities/PSSK/compute_scalar_product_of_pssk.cpp ) -target_link_libraries(utilities/PSSK/compute_scalar_product_of_pssk ${Boost_SYSTEM_LIBRARY}) diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes b/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes index b941b19a..b2a88191 100755 Binary files a/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes and b/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes differ diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes b/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes index 3136aab1..6be64214 100755 Binary files a/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes and b/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes differ diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes b/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes index 5e63470e..2352c96b 100755 Binary files a/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes and b/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes differ diff --git a/src/Gudhi_stat/include/gudhi/common.h b/src/Gudhi_stat/include/gudhi/common.h new file mode 100644 index 00000000..d573a92a --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/common.h @@ -0,0 +1,39 @@ +/* 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 Sophia-Saclay (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 . + */ + +#pragma once + //this file contain an implementation of some common procedures used in Gudhi_stat. + + //double epsi = std::numeric_limits::epsilon(); +double epsi = 0.000005; + + +/** + * A procedure used to compare doubles. Typically gien two doubles A and B, comparing A == B is not good idea. In this case, we use the procedure almostEqual with the epsi defined at + * the top of the file. Setting up the epsi give the user a tolerance on what should be consider equal. +**/ +inline bool almost_equal( double a , double b ) +{ + if ( fabs(a-b) < epsi ) + return true; + return false; +} diff --git a/src/Persistent_cohomology/example/CMakeLists.txt b/src/Persistent_cohomology/example/CMakeLists.txt index b823d658..222606d6 100644 --- a/src/Persistent_cohomology/example/CMakeLists.txt +++ b/src/Persistent_cohomology/example/CMakeLists.txt @@ -74,8 +74,8 @@ endif(GMP_FOUND) message(STATUS "Eigen3 version: ${EIGEN3_VERSION}.") include( ${EIGEN3_USE_FILE} ) - add_executable (alpha_complex_persistence alpha_complex_persistence.cpp) - target_link_libraries(alpha_complex_persistence ${Boost_SYSTEM_LIBRARY} ${CGAL_LIBRARY} ${Boost_PROGRAM_OPTIONS_LIBRARY}) + #add_executable (alpha_complex_persistence alpha_complex_persistence.cpp) + #target_link_libraries(alpha_complex_persistence ${Boost_SYSTEM_LIBRARY} ${CGAL_LIBRARY} ${Boost_PROGRAM_OPTIONS_LIBRARY}) add_executable(periodic_alpha_complex_3d_persistence periodic_alpha_complex_3d_persistence.cpp) target_link_libraries(periodic_alpha_complex_3d_persistence ${Boost_SYSTEM_LIBRARY} ${CGAL_LIBRARY}) diff --git a/src/Persistent_cohomology/example/alpha_complex_3d_persistence.cpp b/src/Persistent_cohomology/example/alpha_complex_3d_persistence.cpp index 48fbb91a..20142ab2 100644 --- a/src/Persistent_cohomology/example/alpha_complex_3d_persistence.cpp +++ b/src/Persistent_cohomology/example/alpha_complex_3d_persistence.cpp @@ -22,11 +22,11 @@ #include #include -#include #include #include -#include +#include +#include #include #include @@ -41,10 +41,11 @@ // Alpha_shape_3 templates type definitions typedef CGAL::Exact_predicates_inexact_constructions_kernel Kernel; -typedef CGAL::Alpha_shape_vertex_base_3 Vb; -typedef CGAL::Alpha_shape_cell_base_3 Fb; +typedef CGAL::Regular_triangulation_euclidean_traits_3 Gt; +typedef CGAL::Alpha_shape_vertex_base_3 Vb; +typedef CGAL::Alpha_shape_cell_base_3 Fb; typedef CGAL::Triangulation_data_structure_3 Tds; -typedef CGAL::Delaunay_triangulation_3 Triangulation_3; +typedef CGAL::Regular_triangulation_3 Triangulation_3; typedef CGAL::Alpha_shape_3 Alpha_shape_3; // From file type definition @@ -138,18 +139,11 @@ int main(int argc, char * const argv[]) { usage(argv[0]); } - // Read points from file - std::string offInputFile(argv[1]); - // Read the OFF file (input file name given as parameter) and triangulate points - Gudhi::Points_3D_off_reader off_reader(offInputFile); - // Check the read operation was correct - if (!off_reader.is_valid()) { - std::cerr << "Unable to read file " << offInputFile << std::endl; - usage(argv[0]); - } - - // Retrieve the triangulation - std::vector lp = off_reader.get_point_cloud(); + std::vector lp; + lp.emplace_back(Point_3(0,0,0),0); + lp.emplace_back(Point_3(0,0,1),0); + lp.emplace_back(Point_3(0,1,0),.2); + lp.emplace_back(Point_3(1,0,0),0); // alpha shape construction from points. CGAL has a strange behavior in REGULARIZED mode. Alpha_shape_3 as(lp.begin(), lp.end(), 0, Alpha_shape_3::GENERAL); -- cgit v1.2.3 From 683d39989fafdd1be7408b0b1c4e9d0f00930ac8 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Tue, 4 Oct 2016 11:55:38 +0000 Subject: adding the missing files from utylities/persistence_landscapes git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1616 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: c0e1a9cfe0581a9f6f84d328236e1ee0d409e10b --- .../persistence_landscapes/average_landscapes | Bin 99922 -> 0 bytes .../compute_distance_of_landscapes.cpp | 109 +++++++++++++++++++++ .../compute_scalar_product_of_landscapes.cpp | 92 +++++++++++++++++ .../persistence_landscapes/create_landscapes | Bin 99645 -> 0 bytes .../persistence_landscapes/plot_landscapes | Bin 99584 -> 0 bytes 5 files changed, 201 insertions(+) delete mode 100755 src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes create mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp create mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp delete mode 100755 src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes delete mode 100755 src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes b/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes deleted file mode 100755 index b2a88191..00000000 Binary files a/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes and /dev/null differ diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp new file mode 100644 index 00000000..12a4b3bd --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp @@ -0,0 +1,109 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute distance of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The first parameter of a program is an interger p. The program compute L^p distance of the given landscapes. For L^infty distance choose p = -1. \n"; + std::cout << "The remaining parameters of this programs are names of files with persistence landscapes."; + + if ( argc < 3 ) + { + std::cout << "Wrong number of parameters, the program will now terminate \n"; + return 1; + } + + int p = atoi( argv[1] ); + + std::vector< const char* > filenames; + for ( int i = 2 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Persistence_landscape > landscaspes; + landscaspes.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + std::cout << "Loading persistence landscape from a file : " << filenames[file_no] << std::endl; + Persistence_landscape l; + l.load_landscape_from_file( filenames[file_no] ); + landscaspes.push_back( l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > distance( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + distance[i] = v; + } + + //and now we can compute the distances: + for ( size_t i = 0 ; i != landscaspes.size() ; ++i ) + { + for ( size_t j = i ; j != landscaspes.size() ; ++j ) + { + distance[i][j] = distance[j][i] = compute_discance_of_landscapes( landscaspes[i], landscaspes[j] , p ) ; + + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "distance" ); + for ( size_t i = 0 ; i != distance.size() ; ++i ) + { + for ( size_t j = 0 ; j != distance.size() ; ++j ) + { + cout << distance[i][j] << " "; + out << distance[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + return 0; +} + + + + + + + diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp new file mode 100644 index 00000000..ac64a798 --- /dev/null +++ b/src/Gudhi_stat/example/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp @@ -0,0 +1,92 @@ +/* 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 Sophia-Saclay (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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute scalar product of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The parameters of this programs are names of files with persistence landscapes.\n"; + + std::vector< const char* > filenames; + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Persistence_landscape > landscaspes; + landscaspes.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + std::cout << "Reading persistence landscape from a file : " << filenames[file_no] << std::endl; + Persistence_landscape l; + l.load_landscape_from_file( filenames[file_no] ); + landscaspes.push_back( l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > scalar_product( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + scalar_product[i] = v; + } + + //and now we can compute the scalar product: + for ( size_t i = 0 ; i != landscaspes.size() ; ++i ) + { + for ( size_t j = i ; j != landscaspes.size() ; ++j ) + { + scalar_product[i][j] = scalar_product[j][i] = compute_inner_product( landscaspes[i], landscaspes[j] ) ; + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "scalar_product" ); + for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) + { + for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) + { + cout << scalar_product[i][j] << " "; + out << scalar_product[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + return 0; +} diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes b/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes deleted file mode 100755 index 6be64214..00000000 Binary files a/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes and /dev/null differ diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes b/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes deleted file mode 100755 index 2352c96b..00000000 Binary files a/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes and /dev/null differ -- cgit v1.2.3 From 4fb5e83405fc505b5f515cf173ba028f699a1444 Mon Sep 17 00:00:00 2001 From: vrouvrea Date: Tue, 4 Oct 2016 19:15:40 +0000 Subject: Remove executables Fix cmake issues git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1634 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: b3a59a1b6c68ed79603da65017af142b917bd898 --- src/Gudhi_stat/example/CMakeLists.txt | 116 ++++++++++----------- .../example/persistence_landscape_on_grid | Bin 76816 -> 0 bytes ...at_maps_weighted_by_arctan_of_their_persistence | Bin 80766 -> 0 bytes ...ompute_birth_death_range_in_persistence_diagram | Bin 61596 -> 0 bytes .../compute_number_of_dominant_intervals | Bin 57320 -> 0 bytes .../plot_histogram_of_intervals_lengths | Bin 61940 -> 0 bytes .../plot_persistence_Betti_numebrs | Bin 62043 -> 0 bytes .../plot_persistence_intervals | Bin 66379 -> 0 bytes src/Gudhi_stat/test/CMakeLists.txt | 49 +++------ src/Persistent_cohomology/example/CMakeLists.txt | 4 +- 10 files changed, 72 insertions(+), 97 deletions(-) delete mode 100755 src/Gudhi_stat/example/persistence_landscape_on_grid delete mode 100755 src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence delete mode 100755 src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram delete mode 100755 src/Gudhi_stat/example/utilities/persistence_intervals/compute_number_of_dominant_intervals delete mode 100755 src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths delete mode 100755 src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs delete mode 100755 src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_intervals (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/CMakeLists.txt b/src/Gudhi_stat/example/CMakeLists.txt index 5716ff31..613e4d26 100644 --- a/src/Gudhi_stat/example/CMakeLists.txt +++ b/src/Gudhi_stat/example/CMakeLists.txt @@ -20,100 +20,100 @@ target_link_libraries(persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) ##UTILITIES: #persitence diagrams -add_executable ( utilities/persistence_intervals/plot_persistence_intervals utilities/persistence_intervals/plot_persistence_intervals.cpp ) -target_link_libraries( utilities/persistence_intervals/plot_persistence_intervals ${Boost_SYSTEM_LIBRARY}) +add_executable ( plot_persistence_intervals utilities/persistence_intervals/plot_persistence_intervals.cpp ) +target_link_libraries( plot_persistence_intervals ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp ) -target_link_libraries( utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram ${Boost_SYSTEM_LIBRARY}) +add_executable ( compute_birth_death_range_in_persistence_diagram utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp ) +target_link_libraries( compute_birth_death_range_in_persistence_diagram ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_intervals/compute_number_of_dominant_intervals utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp ) -target_link_libraries( utilities/persistence_intervals/compute_number_of_dominant_intervals ${Boost_SYSTEM_LIBRARY}) +add_executable ( compute_number_of_dominant_intervals utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp ) +target_link_libraries( compute_number_of_dominant_intervals ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_intervals/plot_histogram_of_intervals_lengths utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp ) -target_link_libraries( utilities/persistence_intervals/plot_histogram_of_intervals_lengths ${Boost_SYSTEM_LIBRARY}) +add_executable ( plot_histogram_of_intervals_lengths utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp ) +target_link_libraries( plot_histogram_of_intervals_lengths ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_intervals/plot_persistence_Betti_numebrs utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp ) -target_link_libraries( utilities/persistence_intervals/plot_persistence_Betti_numebrs ${Boost_SYSTEM_LIBRARY}) +add_executable ( plot_persistence_Betti_numebrs utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp ) +target_link_libraries( plot_persistence_Betti_numebrs ${Boost_SYSTEM_LIBRARY}) #when we have bottleneck and wasserstein distance computations, add suitable programs here. #persitence landscapes -add_executable ( utilities/persistence_landscapes/average_landscapes utilities/persistence_landscapes/average_landscapes.cpp ) -target_link_libraries(utilities/persistence_landscapes/average_landscapes ${Boost_SYSTEM_LIBRARY}) +add_executable ( average_landscapes utilities/persistence_landscapes/average_landscapes.cpp ) +target_link_libraries(average_landscapes ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_landscapes/create_landscapes utilities/persistence_landscapes/create_landscapes.cpp ) -target_link_libraries(utilities/persistence_landscapes/create_landscapes ${Boost_SYSTEM_LIBRARY}) +add_executable ( create_landscapes utilities/persistence_landscapes/create_landscapes.cpp ) +target_link_libraries(create_landscapes ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_landscapes/plot_landscapes utilities/persistence_landscapes/plot_landscapes.cpp ) -target_link_libraries(utilities/persistence_landscapes/plot_landscapes ${Boost_SYSTEM_LIBRARY}) +add_executable ( plot_landscapes utilities/persistence_landscapes/plot_landscapes.cpp ) +target_link_libraries(plot_landscapes ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_landscapes/compute_distance_of_landscapes utilities/persistence_landscapes/compute_distance_of_landscapes.cpp ) -target_link_libraries(utilities/persistence_landscapes/compute_distance_of_landscapes ${Boost_SYSTEM_LIBRARY}) +add_executable ( compute_distance_of_landscapes utilities/persistence_landscapes/compute_distance_of_landscapes.cpp ) +target_link_libraries(compute_distance_of_landscapes ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_landscapes/compute_scalar_product_of_landscapes utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp ) -target_link_libraries(utilities/persistence_landscapes/compute_scalar_product_of_landscapes ${Boost_SYSTEM_LIBRARY}) +add_executable ( compute_scalar_product_of_landscapes utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp ) +target_link_libraries(compute_scalar_product_of_landscapes ${Boost_SYSTEM_LIBRARY}) #persitence landscapes on a grid -add_executable ( utilities/persistence_landscapes_on_grid/average_landscapes_on_grid utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp ) -target_link_libraries(utilities/persistence_landscapes_on_grid/average_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) +add_executable ( average_landscapes_on_grid utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp ) +target_link_libraries(average_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_landscapes_on_grid/create_landscapes_on_grid utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp ) -target_link_libraries(utilities/persistence_landscapes_on_grid/create_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) +add_executable ( create_landscapes_on_grid utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp ) +target_link_libraries(create_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp ) -target_link_libraries(utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) +add_executable ( plot_landscapes_on_grid utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp ) +target_link_libraries(plot_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp ) -target_link_libraries(utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) +add_executable ( compute_distance_of_landscapes_on_grid utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp ) +target_link_libraries(compute_distance_of_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp ) -target_link_libraries(utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) +add_executable ( compute_scalar_product_of_landscapes_on_grid utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp ) +target_link_libraries(compute_scalar_product_of_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) #persitence heat maps -add_executable ( utilities/persistence_heat_maps/average_persistence_heat_maps utilities/persistence_heat_maps/average_persistence_heat_maps.cpp ) -target_link_libraries(utilities/persistence_heat_maps/average_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) +add_executable ( average_persistence_heat_maps utilities/persistence_heat_maps/average_persistence_heat_maps.cpp ) +target_link_libraries(average_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_heat_maps/create_persistence_heat_maps utilities/persistence_heat_maps/create_persistence_heat_maps.cpp ) -target_link_libraries(utilities/persistence_heat_maps/create_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) +add_executable ( create_persistence_heat_maps utilities/persistence_heat_maps/create_persistence_heat_maps.cpp ) +target_link_libraries(create_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_heat_maps/plot_persistence_heat_map utilities/persistence_heat_maps/plot_persistence_heat_map.cpp ) -target_link_libraries(utilities/persistence_heat_maps/plot_persistence_heat_map ${Boost_SYSTEM_LIBRARY}) +add_executable ( plot_persistence_heat_map utilities/persistence_heat_maps/plot_persistence_heat_map.cpp ) +target_link_libraries(plot_persistence_heat_map ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp ) -target_link_libraries(utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) +add_executable ( compute_distance_of_persistence_heat_maps utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp ) +target_link_libraries(compute_distance_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp ) -target_link_libraries(utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) +add_executable ( compute_scalar_product_of_persistence_heat_maps utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp ) +target_link_libraries(compute_scalar_product_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_heat_maps/create_pssk utilities/persistence_heat_maps/create_pssk.cpp ) -target_link_libraries(utilities/persistence_heat_maps/create_pssk ${Boost_SYSTEM_LIBRARY}) +add_executable ( create_pssk utilities/persistence_heat_maps/create_pssk.cpp ) +target_link_libraries(create_pssk ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp ) -target_link_libraries(utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal ${Boost_SYSTEM_LIBRARY}) +add_executable ( create_persistence_heat_maps_weighted_by_distance_from_diagonal utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp ) +target_link_libraries(create_persistence_heat_maps_weighted_by_distance_from_diagonal ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp ) -target_link_libraries(utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal ${Boost_SYSTEM_LIBRARY}) +add_executable ( create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp ) +target_link_libraries(create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp ) -target_link_libraries(utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence ${Boost_SYSTEM_LIBRARY}) +add_executable ( create_persistence_heat_maps_weighted_by_arctan_of_their_persistence utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp ) +target_link_libraries(create_persistence_heat_maps_weighted_by_arctan_of_their_persistence ${Boost_SYSTEM_LIBRARY}) #persitence vectors -add_executable ( utilities/persistence_vectors/average_persistence_vectors utilities/persistence_vectors/average_persistence_vectors.cpp ) -target_link_libraries(utilities/persistence_vectors/average_persistence_vectors ${Boost_SYSTEM_LIBRARY}) +add_executable ( average_persistence_vectors utilities/persistence_vectors/average_persistence_vectors.cpp ) +target_link_libraries(average_persistence_vectors ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_vectors/create_persistence_vectors utilities/persistence_vectors/create_persistence_vectors.cpp ) -target_link_libraries(utilities/persistence_vectors/create_persistence_vectors ${Boost_SYSTEM_LIBRARY}) +add_executable ( create_persistence_vectors utilities/persistence_vectors/create_persistence_vectors.cpp ) +target_link_libraries(create_persistence_vectors ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_vectors/compute_distance_of_persistence_vectors utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp ) -target_link_libraries(utilities/persistence_vectors/compute_distance_of_persistence_vectors ${Boost_SYSTEM_LIBRARY}) +add_executable ( compute_distance_of_persistence_vectors utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp ) +target_link_libraries(compute_distance_of_persistence_vectors ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp ) -target_link_libraries(utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors ${Boost_SYSTEM_LIBRARY}) +add_executable ( compute_scalar_product_of_persistence_vectors utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp ) +target_link_libraries(compute_scalar_product_of_persistence_vectors ${Boost_SYSTEM_LIBRARY}) -add_executable ( utilities/persistence_vectors/plot_persistence_vectors utilities/persistence_vectors/plot_persistence_vectors.cpp ) -target_link_libraries(utilities/persistence_vectors/plot_persistence_vectors ${Boost_SYSTEM_LIBRARY}) +add_executable ( plot_persistence_vectors utilities/persistence_vectors/plot_persistence_vectors.cpp ) +target_link_libraries(plot_persistence_vectors ${Boost_SYSTEM_LIBRARY}) diff --git a/src/Gudhi_stat/example/persistence_landscape_on_grid b/src/Gudhi_stat/example/persistence_landscape_on_grid deleted file mode 100755 index 0a0603da..00000000 Binary files a/src/Gudhi_stat/example/persistence_landscape_on_grid and /dev/null differ diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence deleted file mode 100755 index 08e53590..00000000 Binary files a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence and /dev/null differ diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram b/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram deleted file mode 100755 index c4955d0e..00000000 Binary files a/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram and /dev/null differ diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/compute_number_of_dominant_intervals b/src/Gudhi_stat/example/utilities/persistence_intervals/compute_number_of_dominant_intervals deleted file mode 100755 index 9be7cfad..00000000 Binary files a/src/Gudhi_stat/example/utilities/persistence_intervals/compute_number_of_dominant_intervals and /dev/null differ diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths deleted file mode 100755 index 5d063bc1..00000000 Binary files a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths and /dev/null differ diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs deleted file mode 100755 index 664ac49f..00000000 Binary files a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs and /dev/null differ diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_intervals b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_intervals deleted file mode 100755 index 95e85258..00000000 Binary files a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_intervals and /dev/null differ diff --git a/src/Gudhi_stat/test/CMakeLists.txt b/src/Gudhi_stat/test/CMakeLists.txt index 6fb4310f..292549f8 100644 --- a/src/Gudhi_stat/test/CMakeLists.txt +++ b/src/Gudhi_stat/test/CMakeLists.txt @@ -14,11 +14,8 @@ if (GPROF_PATH) set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} -pg") endif() - - - - - +# copy data directory for tests purpose +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}) @@ -26,16 +23,8 @@ target_link_libraries(persistence_intervals_test ${Boost_SYSTEM_LIBRARY} ${Boost # 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_test.xml --log_level=test_suite --report_level=no) - - - - - - - - + # 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 ) @@ -44,10 +33,8 @@ target_link_libraries(vector_representation_test ${Boost_SYSTEM_LIBRARY} ${Boost # 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_test.xml --log_level=test_suite --report_level=no) - - + # 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 ) @@ -56,10 +43,8 @@ target_link_libraries(persistence_lanscapes_test ${Boost_SYSTEM_LIBRARY} ${Boost # 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_test.xml --log_level=test_suite --report_level=no) - - + # 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 ) @@ -68,18 +53,8 @@ target_link_libraries(persistence_lanscapes_on_grid_test ${Boost_SYSTEM_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_test.xml --log_level=test_suite --report_level=no) - - - - - - - - - - + # 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 ) @@ -88,5 +63,5 @@ target_link_libraries(persistence_heat_maps_test ${Boost_SYSTEM_LIBRARY} ${Boost # 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_test.xml --log_level=test_suite --report_level=no) \ No newline at end of file + # 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) diff --git a/src/Persistent_cohomology/example/CMakeLists.txt b/src/Persistent_cohomology/example/CMakeLists.txt index 222606d6..b823d658 100644 --- a/src/Persistent_cohomology/example/CMakeLists.txt +++ b/src/Persistent_cohomology/example/CMakeLists.txt @@ -74,8 +74,8 @@ endif(GMP_FOUND) message(STATUS "Eigen3 version: ${EIGEN3_VERSION}.") include( ${EIGEN3_USE_FILE} ) - #add_executable (alpha_complex_persistence alpha_complex_persistence.cpp) - #target_link_libraries(alpha_complex_persistence ${Boost_SYSTEM_LIBRARY} ${CGAL_LIBRARY} ${Boost_PROGRAM_OPTIONS_LIBRARY}) + add_executable (alpha_complex_persistence alpha_complex_persistence.cpp) + target_link_libraries(alpha_complex_persistence ${Boost_SYSTEM_LIBRARY} ${CGAL_LIBRARY} ${Boost_PROGRAM_OPTIONS_LIBRARY}) add_executable(periodic_alpha_complex_3d_persistence periodic_alpha_complex_3d_persistence.cpp) target_link_libraries(periodic_alpha_complex_3d_persistence ${Boost_SYSTEM_LIBRARY} ${CGAL_LIBRARY}) -- cgit v1.2.3 From 7a6ebbd6c26306bca806bbc8c08f74a13c63fca6 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Tue, 11 Oct 2016 07:43:50 +0000 Subject: adding answert to Vincent's comments git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1688 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 3e90519425010bfedae7af946238188fee6cf420 --- CMakeLists.txt | 1 + src/Gudhi_stat/example/CMakeLists.txt | 98 ---------- src/Gudhi_stat/example/persistence_heat_maps.cpp | 2 +- src/Gudhi_stat/example/persistence_intervals.cpp | 2 +- src/Gudhi_stat/example/persistence_landscape.cpp | 2 +- .../example/persistence_landscape_on_grid.cpp | 2 +- .../average_persistence_heat_maps.cpp | 73 -------- .../compute_distance_of_persistence_heat_maps.cpp | 107 ----------- ...ute_scalar_product_of_persistence_heat_maps.cpp | 91 --------- .../create_persistence_heat_maps.cpp | 79 -------- ...aps_weighted_by_arctan_of_their_persistence.cpp | 79 -------- ...eat_maps_weighted_by_distance_from_diagonal.cpp | 79 -------- ..._weighted_by_squared_distance_from_diagonal.cpp | 79 -------- .../persistence_heat_maps/create_pssk.cpp | 77 -------- .../plot_persistence_heat_map.cpp | 44 ----- .../example/utilities/persistence_intervals/aaa | 51 ----- .../persistence_intervals/aaa_Gnuplot_script | 208 --------------------- ...te_birth_death_range_in_persistence_diagram.cpp | 72 ------- .../compute_number_of_dominant_intervals.cpp | 57 ------ .../plot_histogram_of_intervals_lengths.cpp | 69 ------- .../plot_persistence_Betti_numebrs.cpp | 93 --------- .../plot_persistence_intervals.cpp | 59 ------ .../persistence_landscapes/average_landscapes.cpp | 75 -------- .../compute_distance_of_landscapes.cpp | 109 ----------- .../compute_scalar_product_of_landscapes.cpp | 92 --------- .../persistence_landscapes/create_landscapes.cpp | 56 ------ .../persistence_landscapes/plot_landscapes.cpp | 50 ----- .../average_landscapes_on_grid.cpp | 74 -------- .../compute_distance_of_landscapes_on_grid.cpp | 107 ----------- ...ompute_scalar_product_of_landscapes_on_grid.cpp | 91 --------- .../create_landscapes_on_grid.cpp | 80 -------- .../plot_landscapes_on_grid.cpp | 55 ------ .../average_persistence_vectors.cpp | 75 -------- .../compute_distance_of_persistence_vectors.cpp | 108 ----------- ...mpute_scalar_product_of_persistence_vectors.cpp | 97 ---------- .../create_persistence_vectors.cpp | 57 ------ .../plot_persistence_vectors.cpp | 51 ----- src/Gudhi_stat/example/vector_representation.cpp | 2 +- .../Abs_Real_valued_topological_data.h | 2 +- .../gudhi/abstract_classes/Abs_Topological_data.h | 10 +- .../Abs_Topological_data_with_averages.h | 9 +- .../Abs_Topological_data_with_distances.h | 9 +- .../Abs_Topological_data_with_scalar_product.h | 7 +- .../Abs_Vectorized_topological_data.h | 10 +- .../include/gudhi/concretizations/PSSK.h | 2 +- .../gudhi/concretizations/Persistence_heat_maps.h | 14 +- .../gudhi/concretizations/Persistence_intervals.h | 7 +- .../gudhi/concretizations/Persistence_landscape.h | 6 +- .../Persistence_landscape_on_grid.h | 42 +++-- .../concretizations/Vector_distances_in_diagram.h | 124 ++++++------ .../concretizations/read_persitence_from_file.h | 20 +- src/Gudhi_stat/test/persistence_heat_maps_test.cpp | 2 +- src/Gudhi_stat/test/persistence_intervals_test.cpp | 2 +- .../test/persistence_lanscapes_on_grid_test.cpp | 2 +- src/Gudhi_stat/test/persistence_lanscapes_test.cpp | 2 +- src/Gudhi_stat/test/vector_representation_test.cpp | 4 +- src/Gudhi_stat/utilities/CMakeLists.txt | 103 ++++++++++ .../average_persistence_heat_maps.cpp | 73 ++++++++ .../compute_distance_of_persistence_heat_maps.cpp | 107 +++++++++++ ...ute_scalar_product_of_persistence_heat_maps.cpp | 91 +++++++++ .../create_persistence_heat_maps.cpp | 79 ++++++++ ...aps_weighted_by_arctan_of_their_persistence.cpp | 79 ++++++++ ...eat_maps_weighted_by_distance_from_diagonal.cpp | 79 ++++++++ ..._weighted_by_squared_distance_from_diagonal.cpp | 79 ++++++++ .../persistence_heat_maps/create_pssk.cpp | 77 ++++++++ .../plot_persistence_heat_map.cpp | 44 +++++ ...te_birth_death_range_in_persistence_diagram.cpp | 72 +++++++ .../compute_number_of_dominant_intervals.cpp | 57 ++++++ .../plot_histogram_of_intervals_lengths.cpp | 69 +++++++ .../plot_persistence_Betti_numebrs.cpp | 93 +++++++++ .../plot_persistence_intervals.cpp | 59 ++++++ .../persistence_landscapes/average_landscapes.cpp | 75 ++++++++ .../compute_distance_of_landscapes.cpp | 109 +++++++++++ .../compute_scalar_product_of_landscapes.cpp | 92 +++++++++ .../persistence_landscapes/create_landscapes.cpp | 56 ++++++ .../persistence_landscapes/plot_landscapes.cpp | 50 +++++ .../average_landscapes_on_grid.cpp | 74 ++++++++ .../compute_distance_of_landscapes_on_grid.cpp | 107 +++++++++++ ...ompute_scalar_product_of_landscapes_on_grid.cpp | 91 +++++++++ .../create_landscapes_on_grid.cpp | 80 ++++++++ .../plot_landscapes_on_grid.cpp | 55 ++++++ .../average_persistence_vectors.cpp | 75 ++++++++ .../compute_distance_of_persistence_vectors.cpp | 108 +++++++++++ ...mpute_scalar_product_of_persistence_vectors.cpp | 97 ++++++++++ .../create_persistence_vectors.cpp | 57 ++++++ .../plot_persistence_vectors.cpp | 51 +++++ 86 files changed, 2494 insertions(+), 2721 deletions(-) delete mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/create_pssk.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_intervals/aaa delete mode 100644 src/Gudhi_stat/example/utilities/persistence_intervals/aaa_Gnuplot_script delete mode 100644 src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_intervals.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_vectors/average_persistence_vectors.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_vectors/create_persistence_vectors.cpp delete mode 100644 src/Gudhi_stat/example/utilities/persistence_vectors/plot_persistence_vectors.cpp create mode 100644 src/Gudhi_stat/utilities/CMakeLists.txt create mode 100644 src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_landscapes/average_landscapes.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_landscapes/create_landscapes.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_landscapes/plot_landscapes.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp create mode 100644 src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp (limited to 'src/Gudhi_stat/example') diff --git a/CMakeLists.txt b/CMakeLists.txt index d7078489..488f1d62 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -145,6 +145,7 @@ else() add_subdirectory(src/Alpha_complex/test) add_subdirectory(src/Gudhi_stat/test) add_subdirectory(src/Gudhi_stat/example) + add_subdirectory(src/Gudhi_stat/utilities) # data points generator add_subdirectory(data/points/generator) diff --git a/src/Gudhi_stat/example/CMakeLists.txt b/src/Gudhi_stat/example/CMakeLists.txt index 613e4d26..5ae6cd6a 100644 --- a/src/Gudhi_stat/example/CMakeLists.txt +++ b/src/Gudhi_stat/example/CMakeLists.txt @@ -17,103 +17,5 @@ add_executable ( persistence_heat_maps persistence_heat_maps.cpp ) target_link_libraries(persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) -##UTILITIES: - -#persitence diagrams -add_executable ( plot_persistence_intervals utilities/persistence_intervals/plot_persistence_intervals.cpp ) -target_link_libraries( plot_persistence_intervals ${Boost_SYSTEM_LIBRARY}) - -add_executable ( compute_birth_death_range_in_persistence_diagram utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp ) -target_link_libraries( compute_birth_death_range_in_persistence_diagram ${Boost_SYSTEM_LIBRARY}) - -add_executable ( compute_number_of_dominant_intervals utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp ) -target_link_libraries( compute_number_of_dominant_intervals ${Boost_SYSTEM_LIBRARY}) - -add_executable ( plot_histogram_of_intervals_lengths utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp ) -target_link_libraries( plot_histogram_of_intervals_lengths ${Boost_SYSTEM_LIBRARY}) - -add_executable ( plot_persistence_Betti_numebrs utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp ) -target_link_libraries( plot_persistence_Betti_numebrs ${Boost_SYSTEM_LIBRARY}) - -#when we have bottleneck and wasserstein distance computations, add suitable programs here. - - -#persitence landscapes -add_executable ( average_landscapes utilities/persistence_landscapes/average_landscapes.cpp ) -target_link_libraries(average_landscapes ${Boost_SYSTEM_LIBRARY}) - -add_executable ( create_landscapes utilities/persistence_landscapes/create_landscapes.cpp ) -target_link_libraries(create_landscapes ${Boost_SYSTEM_LIBRARY}) - -add_executable ( plot_landscapes utilities/persistence_landscapes/plot_landscapes.cpp ) -target_link_libraries(plot_landscapes ${Boost_SYSTEM_LIBRARY}) - -add_executable ( compute_distance_of_landscapes utilities/persistence_landscapes/compute_distance_of_landscapes.cpp ) -target_link_libraries(compute_distance_of_landscapes ${Boost_SYSTEM_LIBRARY}) - -add_executable ( compute_scalar_product_of_landscapes utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp ) -target_link_libraries(compute_scalar_product_of_landscapes ${Boost_SYSTEM_LIBRARY}) - -#persitence landscapes on a grid -add_executable ( average_landscapes_on_grid utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp ) -target_link_libraries(average_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) - -add_executable ( create_landscapes_on_grid utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp ) -target_link_libraries(create_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) - -add_executable ( plot_landscapes_on_grid utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp ) -target_link_libraries(plot_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) - -add_executable ( compute_distance_of_landscapes_on_grid utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp ) -target_link_libraries(compute_distance_of_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) - -add_executable ( compute_scalar_product_of_landscapes_on_grid utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp ) -target_link_libraries(compute_scalar_product_of_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) - -#persitence heat maps -add_executable ( average_persistence_heat_maps utilities/persistence_heat_maps/average_persistence_heat_maps.cpp ) -target_link_libraries(average_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) - -add_executable ( create_persistence_heat_maps utilities/persistence_heat_maps/create_persistence_heat_maps.cpp ) -target_link_libraries(create_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) - -add_executable ( plot_persistence_heat_map utilities/persistence_heat_maps/plot_persistence_heat_map.cpp ) -target_link_libraries(plot_persistence_heat_map ${Boost_SYSTEM_LIBRARY}) - -add_executable ( compute_distance_of_persistence_heat_maps utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp ) -target_link_libraries(compute_distance_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) - -add_executable ( compute_scalar_product_of_persistence_heat_maps utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp ) -target_link_libraries(compute_scalar_product_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) - -add_executable ( create_pssk utilities/persistence_heat_maps/create_pssk.cpp ) -target_link_libraries(create_pssk ${Boost_SYSTEM_LIBRARY}) - -add_executable ( create_persistence_heat_maps_weighted_by_distance_from_diagonal utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp ) -target_link_libraries(create_persistence_heat_maps_weighted_by_distance_from_diagonal ${Boost_SYSTEM_LIBRARY}) - -add_executable ( create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp ) -target_link_libraries(create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal ${Boost_SYSTEM_LIBRARY}) - -add_executable ( create_persistence_heat_maps_weighted_by_arctan_of_their_persistence utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp ) -target_link_libraries(create_persistence_heat_maps_weighted_by_arctan_of_their_persistence ${Boost_SYSTEM_LIBRARY}) - - -#persitence vectors -add_executable ( average_persistence_vectors utilities/persistence_vectors/average_persistence_vectors.cpp ) -target_link_libraries(average_persistence_vectors ${Boost_SYSTEM_LIBRARY}) - -add_executable ( create_persistence_vectors utilities/persistence_vectors/create_persistence_vectors.cpp ) -target_link_libraries(create_persistence_vectors ${Boost_SYSTEM_LIBRARY}) - -add_executable ( compute_distance_of_persistence_vectors utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp ) -target_link_libraries(compute_distance_of_persistence_vectors ${Boost_SYSTEM_LIBRARY}) - -add_executable ( compute_scalar_product_of_persistence_vectors utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp ) -target_link_libraries(compute_scalar_product_of_persistence_vectors ${Boost_SYSTEM_LIBRARY}) - -add_executable ( plot_persistence_vectors utilities/persistence_vectors/plot_persistence_vectors.cpp ) -target_link_libraries(plot_persistence_vectors ${Boost_SYSTEM_LIBRARY}) - diff --git a/src/Gudhi_stat/example/persistence_heat_maps.cpp b/src/Gudhi_stat/example/persistence_heat_maps.cpp index cd0c4113..e336ab44 100644 --- a/src/Gudhi_stat/example/persistence_heat_maps.cpp +++ b/src/Gudhi_stat/example/persistence_heat_maps.cpp @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 diff --git a/src/Gudhi_stat/example/persistence_intervals.cpp b/src/Gudhi_stat/example/persistence_intervals.cpp index cbd4020d..5357def7 100644 --- a/src/Gudhi_stat/example/persistence_intervals.cpp +++ b/src/Gudhi_stat/example/persistence_intervals.cpp @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 diff --git a/src/Gudhi_stat/example/persistence_landscape.cpp b/src/Gudhi_stat/example/persistence_landscape.cpp index a5b726c7..3204148b 100644 --- a/src/Gudhi_stat/example/persistence_landscape.cpp +++ b/src/Gudhi_stat/example/persistence_landscape.cpp @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 diff --git a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp index 2807d76f..e1a0ba5d 100644 --- a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp +++ b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp deleted file mode 100644 index d90e78e1..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp +++ /dev/null @@ -1,73 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program computes average persistence landscape of persistence landscapes created based on persistence diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; - std::vector< const char* > filenames; - - if ( argc == 1 ) - { - std::cout << "No input files given, the program will now terminate \n"; - return 1; - } - - for ( int i = 1 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - - std::cout << "Creating persistence landscapes...\n"; - std::vector< Abs_Topological_data_with_averages* > maps; - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - Persistence_heat_maps* l = new Persistence_heat_maps; - l->load_from_file( filenames[i] ); - maps.push_back( (Abs_Topological_data_with_averages*)l ); - } - - Persistence_heat_maps av; - av.compute_average( maps ); - - av.print_to_file( "average.mps" ); - - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - delete maps[i]; - } - - std::cout << "Done \n"; - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp deleted file mode 100644 index 10d6f04c..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp +++ /dev/null @@ -1,107 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program compute dsitance of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; - std::cout << "The first parameter of a program is an interger p. The program compute L^p distance of the two landscapes. For L^infty distance choose p = -1. \n"; - std::cout << "The remaining parameters of this programs are names of files with persistence landscapes.\n"; - - if ( argc < 3 ) - { - std::cout << "Wrong number of parameters, the program will now terminate \n"; - return 1; - } - - int p = atoi( argv[1] ); - - std::vector< const char* > filenames; - for ( int i = 2 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - std::vector< Abs_Topological_data_with_distances* > maps; - maps.reserve( filenames.size() ); - for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) - { - Persistence_heat_maps* l = new Persistence_heat_maps; - l->load_from_file( filenames[file_no] ); - maps.push_back( (Abs_Topological_data_with_distances*)l ); - } - - //and now we will compute the scalar product of landscapes. - - //first we prepare an array: - std::vector< std::vector< double > > distance( filenames.size() ); - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::vector< double > v( filenames.size() , 0 ); - distance[i] = v; - } - - //and now we can compute the distnaces: - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - for ( size_t j = i ; j != filenames.size() ; ++j ) - { - distance[i][j] = distance[j][i] = ((Persistence_heat_maps*)maps[i])->distance( maps[j] , p ) ; - } - } - - //and now output the result to the screen and a file: - ofstream out; - out.open( "distance" ); - for ( size_t i = 0 ; i != distance.size() ; ++i ) - { - for ( size_t j = 0 ; j != distance.size() ; ++j ) - { - cout << distance[i][j] << " "; - out << distance[i][j] << " "; - } - cout << endl; - out << endl; - } - out.close(); - - return 0; -} - - - - - - - diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp deleted file mode 100644 index cd529f10..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp +++ /dev/null @@ -1,91 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program compute scalar product of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; - std::cout << "The parameters of this programs are names of files with persistence landscapes.\n"; - - std::vector< const char* > filenames; - for ( int i = 1 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - std::vector< Persistence_heat_maps* > maps; - maps.reserve( filenames.size() ); - for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) - { - Persistence_heat_maps* l = new Persistence_heat_maps; - l->load_from_file( filenames[file_no] ); - maps.push_back( l ); - } - - //and now we will compute the scalar product of landscapes. - - //first we prepare an array: - std::vector< std::vector< double > > scalar_product( filenames.size() ); - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::vector< double > v( filenames.size() , 0 ); - scalar_product[i] = v; - } - - //and now we can compute the scalar product: - for ( size_t i = 0 ; i != maps.size() ; ++i ) - { - for ( size_t j = i ; j != maps.size() ; ++j ) - { - scalar_product[i][j] = scalar_product[j][i] = ((Persistence_heat_maps*)maps[i])->compute_scalar_product( maps[j] ) ; - } - } - - //and now output the result to the screen and a file: - ofstream out; - out.open( "scalar_product" ); - for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) - { - for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) - { - cout << scalar_product[i][j] << " "; - out << scalar_product[i][j] << " "; - } - cout << endl; - out << endl; - } - out.close(); - - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp deleted file mode 100644 index 3d8dc2e8..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp +++ /dev/null @@ -1,79 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - - -int main( int argc , char** argv ) -{ - std::cout << "This program creates persistence heat map of diagrams provided as an input.\n"; - std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; - std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; - std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; - std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; - - if ( argc < 5 ) - { - std::cout << "Wrong parameter list, the program will now terminate \n"; - return 1; - } - - size_t size_of_grid = (size_t)atoi( argv[1] ); - double min_ = atof( argv[2] ); - double max_ = atof( argv[3] ); - size_t stdiv = atof( argv[4] ); - - std::vector< const char* > filenames; - for ( int i = 5 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - - - - std::cout << "Creating persistence heat maps...\n"; - std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); - - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; - Persistence_heat_maps l( filenames[i] , filter, constant_function, false , size_of_grid , min_ , max_ ); - - std::stringstream ss; - ss << filenames[i] << ".mps"; - l.print_to_file( ss.str().c_str() ); - } - std::cout << "Done \n"; - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp deleted file mode 100644 index 253320ff..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp +++ /dev/null @@ -1,79 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - - -int main( int argc , char** argv ) -{ - std::cout << "This program creates persistence heat map of diagrams provided as an input. The Gaussian kernels are weighted by the arcus tangens of their persistence.\n"; - std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; - std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; - std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; - std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; - - if ( argc < 5 ) - { - std::cout << "Wrong parameter list, the program will now terminate \n"; - return 1; - } - - size_t size_of_grid = (size_t)atoi( argv[1] ); - double min_ = atof( argv[2] ); - double max_ = atof( argv[3] ); - size_t stdiv = atof( argv[4] ); - - std::vector< const char* > filenames; - for ( int i = 5 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - - - - std::cout << "Creating persistence heat maps...\n"; - std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); - - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; - Persistence_heat_maps l( filenames[i] , filter, arc_tan_of_persistence_of_point, false , size_of_grid , min_ , max_ ); - - std::stringstream ss; - ss << filenames[i] << ".mps"; - l.print_to_file( ss.str().c_str() ); - } - std::cout << "Done \n"; - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp deleted file mode 100644 index d7f4fbdd..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp +++ /dev/null @@ -1,79 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - - -int main( int argc , char** argv ) -{ - std::cout << "This program creates persistence heat map of diagrams provided as an input. The Gaussian kernels are weighted by the distance of a center from the diagonal.\n"; - std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; - std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; - std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; - std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; - - if ( argc < 5 ) - { - std::cout << "Wrong parameter list, the program will now terminate \n"; - return 1; - } - - size_t size_of_grid = (size_t)atoi( argv[1] ); - double min_ = atof( argv[2] ); - double max_ = atof( argv[3] ); - size_t stdiv = atof( argv[4] ); - - std::vector< const char* > filenames; - for ( int i = 5 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - - - - std::cout << "Creating persistence heat maps...\n"; - std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); - - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; - Persistence_heat_maps l( filenames[i] , filter, distance_from_diagonal, false , size_of_grid , min_ , max_ ); - - std::stringstream ss; - ss << filenames[i] << ".mps"; - l.print_to_file( ss.str().c_str() ); - } - std::cout << "Done \n"; - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp deleted file mode 100644 index eac0d067..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp +++ /dev/null @@ -1,79 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - - -int main( int argc , char** argv ) -{ - std::cout << "This program creates persistence heat map of diagrams provided as an input. The Gaussian kernels are weighted by the square of distance of a center from the diagonal.\n"; - std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; - std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; - std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; - std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; - - if ( argc < 5 ) - { - std::cout << "Wrong parameter list, the program will now terminate \n"; - return 1; - } - - size_t size_of_grid = (size_t)atoi( argv[1] ); - double min_ = atof( argv[2] ); - double max_ = atof( argv[3] ); - size_t stdiv = atof( argv[4] ); - - std::vector< const char* > filenames; - for ( int i = 5 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - - - - std::cout << "Creating persistence heat maps...\n"; - std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); - - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; - Persistence_heat_maps l( filenames[i] , filter, squared_distance_from_diagonal, false , size_of_grid , min_ , max_ ); - - std::stringstream ss; - ss << filenames[i] << ".mps"; - l.print_to_file( ss.str().c_str() ); - } - std::cout << "Done \n"; - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_pssk.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_pssk.cpp deleted file mode 100644 index ccd884ec..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_heat_maps/create_pssk.cpp +++ /dev/null @@ -1,77 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - - -int main( int argc , char** argv ) -{ - std::cout << "This program creates PSSK of diagrams provided as an input.\n"; - std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; - std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; - std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; - std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; - - if ( argc < 5 ) - { - std::cout << "Wrong parameter list, the program will now terminate \n"; - return 1; - } - - size_t size_of_grid = (size_t)atoi( argv[1] ); - double min_ = atof( argv[2] ); - double max_ = atof( argv[3] ); - size_t stdiv = atof( argv[4] ); - - std::vector< const char* > filenames; - for ( int i = 5 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - - std::cout << "Creating persistence heat maps...\n"; - std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); - - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; - PSSK l( filenames[i] , filter , size_of_grid , min_ , max_ ); - - std::stringstream ss; - ss << filenames[i] << ".pssk"; - l.print_to_file( ss.str().c_str() ); - } - std::cout << "Done \n"; - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp b/src/Gudhi_stat/example/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp deleted file mode 100644 index b85a502b..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp +++ /dev/null @@ -1,44 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program plot persistence landscape stored in a file (the file needs to be created beforehand). Please call the code with the name of a landsape file \n"; - Persistence_heat_maps l; - l.load_from_file( argv[1] ); - l.plot( argv[1] ); - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/aaa b/src/Gudhi_stat/example/utilities/persistence_intervals/aaa deleted file mode 100644 index 5aed2ec0..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_intervals/aaa +++ /dev/null @@ -1,51 +0,0 @@ -0.254583 0.837489 -0.25491 0.410985 -0.262238 0.405964 -0.233498 0.338685 -0.253282 0.344571 -0.249923 0.339748 -0.179532 0.263873 -0.247402 0.323782 -0.181315 0.249492 -0.160746 0.22547 -0.170367 0.232149 -0.192048 0.253065 -0.27298 0.333994 -0.202383 0.260308 -0.278325 0.329157 -0.176624 0.226215 -0.200184 0.249281 -0.275607 0.323516 -0.178408 0.224032 -0.319435 0.362706 -0.184347 0.226301 -0.19342 0.23356 -0.143554 0.180648 -0.313975 0.34917 -0.260887 0.29465 -0.206395 0.23344 -0.272846 0.298156 -0.222294 0.246925 -0.272951 0.295696 -0.235421 0.257957 -0.277907 0.29913 -0.16591 0.186925 -0.223042 0.243167 -0.435025 0.454885 -0.151992 0.169807 -0.138011 0.155776 -0.218083 0.235837 -0.219364 0.237079 -0.297063 0.313899 -0.282666 0.298727 -0.24199 0.256381 -0.302722 0.316677 -0.160453 0.174076 -0.157689 0.169984 -0.192957 0.204705 -0.153738 0.165306 -0.226448 0.237898 -0.243627 0.252613 -0.210126 0.21907 -0.172082 0.177708 -0.232291 0.234521 diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/aaa_Gnuplot_script b/src/Gudhi_stat/example/utilities/persistence_intervals/aaa_Gnuplot_script deleted file mode 100644 index 3ff83e9c..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_intervals/aaa_Gnuplot_script +++ /dev/null @@ -1,208 +0,0 @@ -set xrange [0.131016 : 0.844554] -set yrange [0 : 16.16] -plot '-' using 1:2 notitle with lp -0.138011 0 -0.138011 1 -0.143554 1 -0.143554 2 -0.151992 2 -0.151992 3 -0.153738 3 -0.153738 4 -0.155776 4 -0.155776 3 -0.157689 3 -0.157689 4 -0.160453 4 -0.160453 5 -0.160746 5 -0.160746 6 -0.165306 6 -0.165306 5 -0.16591 5 -0.16591 6 -0.169807 6 -0.169807 5 -0.169984 5 -0.169984 4 -0.170367 4 -0.170367 5 -0.172082 5 -0.172082 6 -0.174076 6 -0.174076 5 -0.176624 5 -0.176624 6 -0.177708 6 -0.177708 5 -0.178408 5 -0.178408 6 -0.179532 6 -0.179532 7 -0.180648 7 -0.180648 6 -0.181315 6 -0.181315 7 -0.184347 7 -0.184347 8 -0.186925 8 -0.186925 7 -0.192048 7 -0.192048 8 -0.192957 8 -0.192957 9 -0.19342 9 -0.19342 10 -0.200184 10 -0.200184 11 -0.202383 11 -0.202383 12 -0.204705 12 -0.204705 11 -0.206395 11 -0.206395 12 -0.210126 12 -0.210126 13 -0.218083 13 -0.218083 14 -0.21907 14 -0.21907 13 -0.219364 13 -0.219364 14 -0.222294 14 -0.222294 15 -0.223042 15 -0.223042 16 -0.224032 16 -0.224032 15 -0.22547 15 -0.22547 14 -0.226215 14 -0.226215 13 -0.226301 13 -0.226301 12 -0.226448 12 -0.226448 13 -0.232149 13 -0.232149 12 -0.232291 12 -0.232291 13 -0.23344 13 -0.23344 12 -0.233498 12 -0.233498 13 -0.23356 13 -0.23356 12 -0.234521 12 -0.234521 11 -0.235421 11 -0.235421 12 -0.235837 12 -0.235837 11 -0.237079 11 -0.237079 10 -0.237898 10 -0.237898 9 -0.24199 9 -0.24199 10 -0.243167 10 -0.243167 9 -0.243627 9 -0.243627 10 -0.246925 10 -0.246925 9 -0.247402 9 -0.247402 10 -0.249281 10 -0.249281 9 -0.249492 9 -0.249492 8 -0.249923 8 -0.249923 9 -0.252613 9 -0.252613 8 -0.253065 8 -0.253065 7 -0.253282 7 -0.253282 8 -0.254583 8 -0.254583 9 -0.25491 9 -0.25491 10 -0.256381 10 -0.256381 9 -0.257957 9 -0.257957 8 -0.260308 8 -0.260308 7 -0.260887 7 -0.260887 8 -0.262238 8 -0.262238 9 -0.263873 9 -0.263873 8 -0.272846 8 -0.272846 9 -0.272951 9 -0.272951 10 -0.27298 10 -0.27298 11 -0.275607 11 -0.275607 12 -0.277907 12 -0.277907 13 -0.278325 13 -0.278325 14 -0.282666 14 -0.282666 15 -0.29465 15 -0.29465 14 -0.295696 14 -0.295696 13 -0.297063 13 -0.297063 14 -0.298156 14 -0.298156 13 -0.298727 13 -0.298727 12 -0.29913 12 -0.29913 11 -0.302722 11 -0.302722 12 -0.313899 12 -0.313899 11 -0.313975 11 -0.313975 12 -0.316677 12 -0.316677 11 -0.319435 11 -0.319435 12 -0.323516 12 -0.323516 11 -0.323782 11 -0.323782 10 -0.329157 10 -0.329157 9 -0.333994 9 -0.333994 8 -0.338685 8 -0.338685 7 -0.339748 7 -0.339748 6 -0.344571 6 -0.344571 5 -0.34917 5 -0.34917 4 -0.362706 4 -0.362706 3 -0.405964 3 -0.405964 2 -0.410985 2 -0.410985 1 -0.435025 1 -0.435025 2 -0.454885 2 -0.454885 1 -0.837489 1 -0.837489 0 - diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp b/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp deleted file mode 100644 index dba0984a..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp +++ /dev/null @@ -1,72 +0,0 @@ -/* 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 Sophia-Saclay (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 - -#include -#include -#include - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -using namespace std; - - -int main( int argc , char** argv ) -{ - //std::cout << "This program compute minimum birth and the maximum death time for a collection of persistence intervals \n"; - //if ( argc != 2 ) - //{ - // cout << "To run this program, please provide the name of a file with persistence diagram \n"; - // return 1; - //} - //Persistence_intervals p( argv[1] ); - //std::pair min_max_ = p.min_max(); - //cout << "Birth-death range : min: " << min_max_.first << ", max: " << min_max_.second << endl; - - std::vector< const char* > filenames; - for ( int i = 1 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - - double min_ = std::numeric_limits::max(); - double max_ = -std::numeric_limits::max(); - - for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) - { - std::cout << "Creating diagram based on a file : " << filenames[file_no] << std::endl; - Persistence_intervals p( filenames[file_no] ); - std::pair min_max_ = p.min_max(); - if ( min_max_.first < min_ )min_ = min_max_.first; - if ( min_max_.second > max_ )max_ = min_max_.second; - } - cout << "Birth-death range : min: " << min_ << ", max: " << max_ << endl; - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp b/src/Gudhi_stat/example/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp deleted file mode 100644 index 6e6a9c88..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp +++ /dev/null @@ -1,57 +0,0 @@ -/* 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 Sophia-Saclay (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 - -#include - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -using namespace std; - - -int main( int argc , char** argv ) -{ - std::cout << "This program compute the dominant intervals. A number of intervals to be displayed is a parameter of this program. \n"; - if ( argc != 3 ) - { - cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n"; - return 1; - } - - Persistence_intervals p( argv[1] ); - std::vector< std::pair > dominant_intervals = p.dominant_intervals( atoi( argv[2] ) ); - cout << "Here are the dominant intervals : " << endl; - for ( size_t i = 0 ; i != dominant_intervals.size() ; ++i ) - { - cout << " " << dominant_intervals[i].first<< "," << dominant_intervals[i].second << " "<< endl; - } - - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp deleted file mode 100644 index dd2f3f99..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp +++ /dev/null @@ -1,69 +0,0 @@ -/* 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 Sophia-Saclay (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 - -#include - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -using namespace std; - - -int main( int argc , char** argv ) -{ - std::cout << "This program compute a histogram of barcode's length. A number of bins in the histogram is a parameter of this program. \n"; - if ( argc != 3 ) - { - cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n"; - return 1; - } - - Persistence_intervals p( argv[1] ); - std::vector< std::pair > dominant_intervals = p.dominant_intervals( atoi( argv[2] ) ); - std::vector< size_t > histogram = p.histograms_of_lengths( 10 ); - - std::stringstream gnuplot_script; - gnuplot_script << argv[1] << "_Gnuplot_script"; - ofstream out; - out.open( gnuplot_script.str().c_str() ); - - out << "set style data histogram" << std::endl; - out << "set style histogram cluster gap 1" << std::endl; - out << "set style fill solid border -1" << std::endl; - out << "plot '-' notitle" << std::endl; - for ( size_t i = 0 ; i != histogram.size() ; ++i ) - { - out << histogram[i] << std::endl; - } - out << endl; - std::cout << "To vizualize, open gnuplot and type: load \'" << gnuplot_script.str().c_str() << "\'" << std::endl; - out.close(); - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp deleted file mode 100644 index 33ff7bce..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp +++ /dev/null @@ -1,93 +0,0 @@ -/* 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 Sophia-Saclay (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 - -#include - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -using namespace std; - - -int main( int argc , char** argv ) -{ - std::cout << "This program compute a plot of persistence Betti numbers. The input parameter is a file with persistence intervals. \n"; - if ( argc != 2 ) - { - cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n"; - return 1; - } - - - - std::stringstream gnuplot_script; - gnuplot_script << argv[1] << "_Gnuplot_script"; - ofstream out; - out.open( gnuplot_script.str().c_str() ); - - Persistence_intervals p( argv[1] ); - std::vector< std::pair< double , size_t > > pbns = p.compute_persistent_betti_numbers(); - - //set up the ranges so that we see the image well. - double xRangeBegin = pbns[0].first; - double xRangeEnd = pbns[ pbns.size()-1 ].first; - double yRangeBegin = 0; - double yRangeEnd = 0; - for ( size_t i = 0 ; i != pbns.size() ; ++i ) - { - if ( pbns[i].second > yRangeEnd )yRangeEnd = pbns[i].second; - } - xRangeBegin -= (xRangeEnd -xRangeBegin)/100.0; - xRangeEnd += (xRangeEnd -xRangeBegin)/100.0; - yRangeEnd += yRangeEnd/100; - - - out << "set xrange [" << xRangeBegin << " : " << xRangeEnd << "]" << endl; - out << "set yrange [" << yRangeBegin << " : " << yRangeEnd << "]" << endl; - out << "plot '-' using 1:2 notitle with lp " << std::endl; - double previous_y = 0; - for ( size_t i = 0 ; i != pbns.size() ; ++i ) - { - out << pbns[i].first << " " << previous_y << endl; - out << pbns[i].first << " " << pbns[i].second << std::endl; - previous_y = pbns[i].second; - } - out << endl; - out.close(); - - //for ( size_t i = 0 ; i != pbns.size() ; ++i ) - //{ - // cout << pbns[i].first << " " << pbns[i].second << std::endl; - //} - - std::cout << "To vizualize, open gnuplot and type: load \'" << gnuplot_script.str().c_str() << "\'" << std::endl; - - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_intervals.cpp b/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_intervals.cpp deleted file mode 100644 index c4dd7284..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_intervals/plot_persistence_intervals.cpp +++ /dev/null @@ -1,59 +0,0 @@ -/* 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 Sophia-Saclay (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 - -#include - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - - -double epsilon = 0.0000005; - -using namespace std; - - -int main( int argc , char** argv ) -{ - if ( argc != 2 ) - { - cout << "To run this program, please provide the name of a file with persistence diagram \n"; - return 1; - } - Persistence_intervals b( argv[1] ); - b.plot( argv[1] ); - return 0; -} - - - - - - - diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes.cpp deleted file mode 100644 index 418244d2..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes/average_landscapes.cpp +++ /dev/null @@ -1,75 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program computes average persistence landscape of persistence landscapes created based on persistence diagrams provided as an input (you must create them first).\n"; - std::cout << "Please call this program with the names of files with persistence landscapes. The program will create a persistence landscape which will be their average \n"; - std::vector< const char* > filenames; - - if ( argc == 1 ) - { - std::cout << "No input files given, the program will now terminate \n"; - return 1; - } - - for ( int i = 1 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - - std::cout << "Creating persistence landscapes...\n"; - std::vector< Abs_Topological_data_with_averages* > lands; - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - Persistence_landscape* l = new Persistence_landscape; - l->load_landscape_from_file( filenames[i] ); - lands.push_back( (Abs_Topological_data_with_averages*)l ); - } - - Persistence_landscape av; - av.compute_average( lands ); - - av.print_to_file( "average.land" ); - - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - delete lands[i]; - } - - std::cout << "Done \n"; - - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp deleted file mode 100644 index 12a4b3bd..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp +++ /dev/null @@ -1,109 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program compute distance of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; - std::cout << "The first parameter of a program is an interger p. The program compute L^p distance of the given landscapes. For L^infty distance choose p = -1. \n"; - std::cout << "The remaining parameters of this programs are names of files with persistence landscapes."; - - if ( argc < 3 ) - { - std::cout << "Wrong number of parameters, the program will now terminate \n"; - return 1; - } - - int p = atoi( argv[1] ); - - std::vector< const char* > filenames; - for ( int i = 2 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - std::vector< Persistence_landscape > landscaspes; - landscaspes.reserve( filenames.size() ); - for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) - { - std::cout << "Loading persistence landscape from a file : " << filenames[file_no] << std::endl; - Persistence_landscape l; - l.load_landscape_from_file( filenames[file_no] ); - landscaspes.push_back( l ); - } - - //and now we will compute the scalar product of landscapes. - - //first we prepare an array: - std::vector< std::vector< double > > distance( filenames.size() ); - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::vector< double > v( filenames.size() , 0 ); - distance[i] = v; - } - - //and now we can compute the distances: - for ( size_t i = 0 ; i != landscaspes.size() ; ++i ) - { - for ( size_t j = i ; j != landscaspes.size() ; ++j ) - { - distance[i][j] = distance[j][i] = compute_discance_of_landscapes( landscaspes[i], landscaspes[j] , p ) ; - - } - } - - //and now output the result to the screen and a file: - ofstream out; - out.open( "distance" ); - for ( size_t i = 0 ; i != distance.size() ; ++i ) - { - for ( size_t j = 0 ; j != distance.size() ; ++j ) - { - cout << distance[i][j] << " "; - out << distance[i][j] << " "; - } - cout << endl; - out << endl; - } - out.close(); - - return 0; -} - - - - - - - diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp deleted file mode 100644 index ac64a798..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp +++ /dev/null @@ -1,92 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program compute scalar product of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; - std::cout << "The parameters of this programs are names of files with persistence landscapes.\n"; - - std::vector< const char* > filenames; - for ( int i = 1 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - std::vector< Persistence_landscape > landscaspes; - landscaspes.reserve( filenames.size() ); - for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) - { - std::cout << "Reading persistence landscape from a file : " << filenames[file_no] << std::endl; - Persistence_landscape l; - l.load_landscape_from_file( filenames[file_no] ); - landscaspes.push_back( l ); - } - - //and now we will compute the scalar product of landscapes. - - //first we prepare an array: - std::vector< std::vector< double > > scalar_product( filenames.size() ); - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::vector< double > v( filenames.size() , 0 ); - scalar_product[i] = v; - } - - //and now we can compute the scalar product: - for ( size_t i = 0 ; i != landscaspes.size() ; ++i ) - { - for ( size_t j = i ; j != landscaspes.size() ; ++j ) - { - scalar_product[i][j] = scalar_product[j][i] = compute_inner_product( landscaspes[i], landscaspes[j] ) ; - } - } - - //and now output the result to the screen and a file: - ofstream out; - out.open( "scalar_product" ); - for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) - { - for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) - { - cout << scalar_product[i][j] << " "; - out << scalar_product[i][j] << " "; - } - cout << endl; - out << endl; - } - out.close(); - - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes.cpp deleted file mode 100644 index 5152a033..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes/create_landscapes.cpp +++ /dev/null @@ -1,56 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program creates persistence landscapes of diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; - std::vector< const char* > filenames; - for ( int i = 1 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - - std::cout << "Creating persistence landscapes...\n"; - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - Persistence_landscape l( filenames[i] , 1 ); - std::stringstream ss; - ss << filenames[i] << ".land"; - l.print_to_file( ss.str().c_str() ); - } - std::cout << "Done \n"; - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes.cpp deleted file mode 100644 index 559fc096..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes/plot_landscapes.cpp +++ /dev/null @@ -1,50 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program plot persistence landscape stored in a file (the file needs to be created beforehand). Please call the code with the name of a landsape file \n"; - Persistence_landscape l; - l.load_landscape_from_file( argv[1] ); - - std::stringstream ss; - ss << argv[1] << "_gnuplot_script"; - l.plot( ss.str().c_str() ); - - std::cout << "Done \n"; - - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp deleted file mode 100644 index 7c3b8db2..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp +++ /dev/null @@ -1,74 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program computes average persistence landscape on grid of persistence landscapes on grid created based on persistence diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; - std::vector< const char* > filenames; - - if ( argc == 1 ) - { - std::cout << "No input files given, the program will now terminate \n"; - return 1; - } - - for ( int i = 1 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - - std::cout << "Creating persistence landscapes...\n"; - std::vector< Abs_Topological_data_with_averages* > lands; - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - Persistence_landscape_on_grid* l = new Persistence_landscape_on_grid; - l->load_landscape_from_file( filenames[i] ); - lands.push_back( (Abs_Topological_data_with_averages*)l ); - } - - Persistence_landscape_on_grid av; - av.compute_average( lands ); - - av.print_to_file( "average.g_land" ); - - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - delete lands[i]; - } - - std::cout << "Done \n"; - - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp deleted file mode 100644 index 20cb52c9..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp +++ /dev/null @@ -1,107 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program compute dsitance of persistence landscapes on grid stored in a file (the file needs to be created beforehand). \n"; - std::cout << "The first parameter of a program is an interger p. The program compute L^p distance of the the landscapes on grid. For L^infty distance choose p = -1. \n"; - std::cout << "The remaining parameters of this programs are names of files with persistence landscapes on grid.\n"; - - if ( argc < 3 ) - { - std::cout << "Wrong number of parameters, the program will now terminate \n"; - return 1; - } - - int p = atoi( argv[1] ); - - std::vector< const char* > filenames; - for ( int i = 2 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - std::vector< Persistence_landscape_on_grid > landscaspes; - landscaspes.reserve( filenames.size() ); - for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) - { - Persistence_landscape_on_grid l; - l.load_landscape_from_file( filenames[file_no] ); - landscaspes.push_back( l ); - } - - //and now we will compute the scalar product of landscapes. - - //first we prepare an array: - std::vector< std::vector< double > > distance( filenames.size() ); - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::vector< double > v( filenames.size() , 0 ); - distance[i] = v; - } - - //and now we can compute the scalar product: - for ( size_t i = 0 ; i != landscaspes.size() ; ++i ) - { - for ( size_t j = i ; j != landscaspes.size() ; ++j ) - { - distance[i][j] = distance[j][i] = compute_discance_of_landscapes_on_grid( landscaspes[i], landscaspes[j] , p ) ; - } - } - - //and now output the result to the screen and a file: - ofstream out; - out.open( "distance" ); - for ( size_t i = 0 ; i != distance.size() ; ++i ) - { - for ( size_t j = 0 ; j != distance.size() ; ++j ) - { - cout << distance[i][j] << " "; - out << distance[i][j] << " "; - } - cout << endl; - out << endl; - } - out.close(); - - return 0; -} - - - - - - - diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp deleted file mode 100644 index 056710ff..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp +++ /dev/null @@ -1,91 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program compute scalar product of persistence landscapes on grid stored in a file (the file needs to be created beforehand). \n"; - std::cout << "The parameters of this programs are names of files with persistence landscapes on grid.\n"; - - std::vector< const char* > filenames; - for ( int i = 1 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - std::vector< Persistence_landscape_on_grid > landscaspes; - landscaspes.reserve( filenames.size() ); - for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) - { - Persistence_landscape_on_grid l; - l.load_landscape_from_file( filenames[file_no] ); - landscaspes.push_back( l ); - } - - //and now we will compute the scalar product of landscapes. - - //first we prepare an array: - std::vector< std::vector< double > > scalar_product( filenames.size() ); - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::vector< double > v( filenames.size() , 0 ); - scalar_product[i] = v; - } - - //and now we can compute the scalar product: - for ( size_t i = 0 ; i != landscaspes.size() ; ++i ) - { - for ( size_t j = i ; j != landscaspes.size() ; ++j ) - { - scalar_product[i][j] = scalar_product[j][i] = compute_inner_product( landscaspes[i], landscaspes[j] ) ; - } - } - - //and now output the result to the screen and a file: - ofstream out; - out.open( "scalar_product" ); - for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) - { - for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) - { - cout << scalar_product[i][j] << " "; - out << scalar_product[i][j] << " "; - } - cout << endl; - out << endl; - } - out.close(); - - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp deleted file mode 100644 index 2ac74eb3..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp +++ /dev/null @@ -1,80 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program creates persistence landscape on grid of diagrams provided as an input.\n"; - std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; - std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; - std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; - - if ( argc < 4 ) - { - std::cout << "Wrong parameter list, the program will now terminate \n"; - return 1; - } - - size_t size_of_grid = (size_t)atoi( argv[1] ); - double min_ = atof( argv[2] ); - double max_ = atof( argv[3] ); - - std::vector< const char* > filenames; - for ( int i = 4 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - - std::cout << "Creating persistence landscapes...\n"; - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::cout << "Creating persistence landscape on a grid based on a file : " << filenames[i] << std::endl; - Persistence_landscape_on_grid l; - if ( (min_ != -1) || (max_ != -1) ) - { - l = Persistence_landscape_on_grid( filenames[i] , min_ , max_ , size_of_grid ); - } - else - { - //(min_ == -1) && (max_ == -1), in this case the program will find min_ and max_ based on the data. - l = Persistence_landscape_on_grid( filenames[i] , size_of_grid ); - } - std::stringstream ss; - ss << filenames[i] << ".g_land"; - l.print_to_file( ss.str().c_str() ); - } - std::cout << "Done \n"; - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp b/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp deleted file mode 100644 index 54b8367b..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp +++ /dev/null @@ -1,55 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program plot persistence landscape on grid stored in a file (the file needs to be created beforehand). Please call the code with the name of a landsape on grid file \n"; - if ( argc == 1 ) - { - std::cout << "Wrong parameters of a program call, the program will now terminate \n"; - return 1; - } - Persistence_landscape_on_grid l; - l.load_landscape_from_file( argv[1] ); - - std::stringstream ss; - ss << argv[1] << "_gnuplot_script"; - l.plot( ss.str().c_str() ); - - std::cout << "Done \n"; - - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_vectors/average_persistence_vectors.cpp b/src/Gudhi_stat/example/utilities/persistence_vectors/average_persistence_vectors.cpp deleted file mode 100644 index 1b269e9c..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_vectors/average_persistence_vectors.cpp +++ /dev/null @@ -1,75 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program computes average persistence vector of persistence vectors created based on persistence diagrams provided as an input. \n"; - std::cout << "Please call this program with the names of files with persistence diagrams \n"; - std::vector< const char* > filenames; - - if ( argc == 1 ) - { - std::cout << "No input files given, the program will now terminate \n"; - return 1; - } - - for ( int i = 1 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - - std::cout << "Reading persistence vectors...\n"; - std::vector< Abs_Topological_data_with_averages* > lands; - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - Vector_distances_in_diagram< euclidean_distance >* l = new Vector_distances_in_diagram< euclidean_distance >; - l->load_from_file( filenames[i] ); - lands.push_back( (Abs_Topological_data_with_averages*)l ); - } - - Vector_distances_in_diagram< euclidean_distance > av; - av.compute_average( lands ); - - av.print_to_file( "average.vect" ); - - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - delete lands[i]; - } - - std::cout << "Done \n"; - - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp b/src/Gudhi_stat/example/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp deleted file mode 100644 index 72026497..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp +++ /dev/null @@ -1,108 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program compute distance of persistence vectors stored in a file (the file needs to be created beforehand). \n"; - std::cout << "The first parameter of a program is an interger p. The program compute l^p distance of the vectors. For l^infty distance choose p = -1. \n"; - std::cout << "The remaining parameters of this programs are names of files with persistence vectors.\n"; - - if ( argc < 3 ) - { - std::cout << "Wrong number of parameters, the program will now terminate \n"; - return 1; - } - - int p = atoi( argv[1] ); - - std::vector< const char* > filenames; - for ( int i = 2 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - std::vector< Vector_distances_in_diagram< euclidean_distance >* > vectors; - vectors.reserve( filenames.size() ); - for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) - { - //cerr << filenames[file_no] << endl; - Vector_distances_in_diagram< euclidean_distance >* l = new Vector_distances_in_diagram< euclidean_distance >; - l->load_from_file( filenames[file_no] ); - vectors.push_back( l ); - } - - //and now we will compute the scalar product of landscapes. - - //first we prepare an array: - std::vector< std::vector< double > > distance( filenames.size() ); - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::vector< double > v( filenames.size() , 0 ); - distance[i] = v; - } - - //and now we can compute the distances: - for ( size_t i = 0 ; i != vectors.size() ; ++i ) - { - for ( size_t j = i+1 ; j != vectors.size() ; ++j ) - { - distance[i][j] = distance[j][i] = ((Vector_distances_in_diagram< euclidean_distance >*)vectors[i])->distance( vectors[j] , p ) ; - } - } - - //and now output the result to the screen and a file: - ofstream out; - out.open( "distance" ); - for ( size_t i = 0 ; i != distance.size() ; ++i ) - { - for ( size_t j = 0 ; j != distance.size() ; ++j ) - { - cout << distance[i][j] << " "; - out << distance[i][j] << " "; - } - cout << endl; - out << endl; - } - out.close(); - - return 0; -} - - - - - - - diff --git a/src/Gudhi_stat/example/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp b/src/Gudhi_stat/example/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp deleted file mode 100644 index 16192d52..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp +++ /dev/null @@ -1,97 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program compute scalar product of persistence vectors stored in a file (the file needs to be created beforehand). \n"; - std::cout << "The parameters of this programs are names of files with persistence vectors.\n"; - - std::vector< const char* > filenames; - for ( int i = 1 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - std::vector< Vector_distances_in_diagram< euclidean_distance >* > vectors; - vectors.reserve( filenames.size() ); - for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) - { - Vector_distances_in_diagram< euclidean_distance >* l = new Vector_distances_in_diagram< euclidean_distance >; - l->load_from_file( filenames[file_no] ); - vectors.push_back( l ); - } - - //and now we will compute the scalar product of landscapes. - - //first we prepare an array: - std::vector< std::vector< double > > scalar_product( filenames.size() ); - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::vector< double > v( filenames.size() , 0 ); - scalar_product[i] = v; - } - - //and now we can compute the scalar product: - for ( size_t i = 0 ; i != vectors.size() ; ++i ) - { - for ( size_t j = i ; j != vectors.size() ; ++j ) - { - scalar_product[i][j] = scalar_product[j][i] = ((Vector_distances_in_diagram< euclidean_distance >*)vectors[i])->compute_scalar_product( vectors[j] ) ; - } - } - - //and now output the result to the screen and a file: - ofstream out; - out.open( "scalar_product" ); - for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) - { - for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) - { - cout << scalar_product[i][j] << " "; - out << scalar_product[i][j] << " "; - } - cout << endl; - out << endl; - } - out.close(); - - //cleaning up - for ( size_t i = 0 ; i != vectors.size() ; ++i ) - { - delete vectors[i]; - } - - return 0; -} diff --git a/src/Gudhi_stat/example/utilities/persistence_vectors/create_persistence_vectors.cpp b/src/Gudhi_stat/example/utilities/persistence_vectors/create_persistence_vectors.cpp deleted file mode 100644 index 99015e41..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_vectors/create_persistence_vectors.cpp +++ /dev/null @@ -1,57 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program creates persistence vectors of diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; - std::vector< const char* > filenames; - for ( int i = 1 ; i < argc ; ++i ) - { - filenames.push_back( argv[i] ); - } - - for ( size_t i = 0 ; i != filenames.size() ; ++i ) - { - std::cerr << "Creatign persistence vectors based on a file : " << filenames[i] << std::endl; - Vector_distances_in_diagram< euclidean_distance > l( filenames[i] , -1 ); - std::stringstream ss; - ss << filenames[i] << ".vect"; - l.print_to_file( ss.str().c_str() ); - } - std::cout << "Done \n"; - return 0; -} - diff --git a/src/Gudhi_stat/example/utilities/persistence_vectors/plot_persistence_vectors.cpp b/src/Gudhi_stat/example/utilities/persistence_vectors/plot_persistence_vectors.cpp deleted file mode 100644 index ad6c06e2..00000000 --- a/src/Gudhi_stat/example/utilities/persistence_vectors/plot_persistence_vectors.cpp +++ /dev/null @@ -1,51 +0,0 @@ -/* 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 Sophia-Saclay (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 - - - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - -#include -#include - - -int main( int argc , char** argv ) -{ - std::cout << "This program create a Gnuplot script to plot persistence vector. Please call this program with the name of file with persistence vector. \n"; - if ( argc != 2 ) - { - std::cout << "Wrong number of parameters, the program will now terminate. \n"; - return 1; - } - Vector_distances_in_diagram< euclidean_distance > l; - l.load_from_file( argv[1] ); - l.plot( argv[1] ); - - return 0; -} - diff --git a/src/Gudhi_stat/example/vector_representation.cpp b/src/Gudhi_stat/example/vector_representation.cpp index 358de1b0..0581baf4 100644 --- a/src/Gudhi_stat/example/vector_representation.cpp +++ b/src/Gudhi_stat/example/vector_representation.cpp @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 diff --git a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Real_valued_topological_data.h b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Real_valued_topological_data.h index 9b313e62..09c2cf85 100644 --- a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Real_valued_topological_data.h +++ b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Real_valued_topological_data.h @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 diff --git a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data.h b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data.h index 0e3db722..e38ae2df 100644 --- a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data.h +++ b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data.h @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 @@ -20,10 +20,10 @@ * along with this program. If not, see . */ -//#ifndef ABS_Topological_data_H_ -//#define ABS_Topological_data_H_ +#ifndef ABS_Topological_data_H_ +#define ABS_Topological_data_H_ + -#pragma once namespace Gudhi { @@ -44,4 +44,4 @@ class Abs_Topological_data }//namespace Gudhi_stat }//namespace Gudhi -//#endif +#endif diff --git a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_averages.h b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_averages.h index 88220e73..8585a62c 100644 --- a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_averages.h +++ b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_averages.h @@ -5,7 +5,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 @@ -23,14 +23,13 @@ #ifndef Abs_Topological_data_with_averages_H_ #define Abs_Topological_data_with_averages_H_ +#include + namespace Gudhi { namespace Gudhi_stat { - -#include - /** * This is an abstract container to store topological information. Most typically, this information will be some representation of persistent homology. @@ -46,7 +45,7 @@ public: //2) Function returns Abs_Topological_data*, and compute the average of all the objects in the vector, plus (*this). //virtual Abs_Topological_data* compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ) = 0; //At the moment I will try to implement option (1). - virtual void compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ) = 0; + virtual void compute_average( const std::vector< Abs_Topological_data_with_averages* >& to_average ) = 0; virtual ~Abs_Topological_data_with_averages(){} protected: }; diff --git a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_distances.h b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_distances.h index 2725c2c6..5b683268 100644 --- a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_distances.h +++ b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_distances.h @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 @@ -23,14 +23,15 @@ #ifndef Abs_Topological_data_with_distances_H_ #define Abs_Topological_data_with_distances_H_ +//#include "Abs_Topological_data.h" +#include + + namespace Gudhi { namespace Gudhi_stat { -//with this path it do not find the files -//#include -#include "Abs_Topological_data.h" /** * This is an abstract container to store topological information. Most typically, this information will be some representation of persistent homology. diff --git a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_scalar_product.h b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_scalar_product.h index b5e5b175..819b1376 100644 --- a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_scalar_product.h +++ b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_scalar_product.h @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 @@ -23,13 +23,14 @@ #ifndef Abs_Topological_data_with_scalar_product_H #define Abs_Topological_data_with_scalar_product_H_ +#include + + namespace Gudhi { namespace Gudhi_stat { -#include - /** * This is an abstract container to store topological information. Most typically, this information will be some representation of persistent homology. **/ diff --git a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Vectorized_topological_data.h b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Vectorized_topological_data.h index df423688..2f352428 100644 --- a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Vectorized_topological_data.h +++ b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Vectorized_topological_data.h @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 @@ -24,17 +24,13 @@ #define Abs_Vectorized_topological_data_H_ #include +#include "Abs_Topological_data.h" +#include namespace Gudhi { namespace Gudhi_stat { - -//with this path it do not find the files -//#include -#include "Abs_Topological_data.h" -#include - using namespace std; /** diff --git a/src/Gudhi_stat/include/gudhi/concretizations/PSSK.h b/src/Gudhi_stat/include/gudhi/concretizations/PSSK.h index 61597ee2..8168b7a7 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/PSSK.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/PSSK.h @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h index afb0da87..89254f16 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 @@ -19,6 +19,9 @@ * You should have received a copy of the GNU General Public License * along with this program. If not, see . */ + +#ifndef Persistence_heat_maps_H +#define Persistence_heat_maps_H //standard include #include @@ -36,7 +39,7 @@ #include #include #include -#include +#include @@ -311,7 +314,7 @@ public: std::vector vectorize( int number_of_function ); double distance( const Abs_Topological_data_with_distances* second_ , double power = 1); double project_to_R( int number_of_function ); - void compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ); + void compute_average( const std::vector< Abs_Topological_data_with_averages* >& to_average ); double compute_scalar_product( const Abs_Topological_data_with_scalar_product* second_ ); protected: @@ -740,7 +743,7 @@ double Persistence_heat_maps::project_to_R( int number_of_function ) return result; } -void Persistence_heat_maps::compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ) +void Persistence_heat_maps::compute_average( const std::vector< Abs_Topological_data_with_averages* >& to_average ) { std::vector maps; maps.reserve( to_average.size() ); @@ -779,3 +782,6 @@ double Persistence_heat_maps::compute_scalar_product( const Abs_Topological_data }//namespace Gudhi_stat }//namespace Gudhi + + +#endif diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h index e0db0070..f694541b 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 @@ -517,7 +517,8 @@ std::vector< double > Persistence_intervals::k_n_n( size_t k , size_t where_to_c } std::vector< double > distances_from_diagonal( this->intervals.size() ); std::fill( distances_from_diagonal.begin() , distances_from_diagonal.end() , 0 ); - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) { std::vector< double > distancesFromI; for ( size_t j = i+1 ; j != this->intervals.size() ; ++j ) @@ -602,7 +603,7 @@ std::vector< double > Persistence_intervals::k_n_n( size_t k , size_t where_to_c std::sort( result.begin() , result.end() , std::greater() ); result.resize( std::min( result.size() , where_to_cut ) ); - return result; + return result; } diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h index 82ee5878..f5f96d34 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 @@ -42,7 +42,7 @@ #include #include #include -#include +#include using namespace std; @@ -446,7 +446,7 @@ public: } return v; } - void compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ) + void compute_average( const std::vector< Abs_Topological_data_with_averages* >& to_average ) { bool dbg = false; diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h index 7afd515d..8afab347 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h @@ -1,3 +1,25 @@ +/* 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 . + */ + #ifndef Persistence_landscape_on_grid_H_ #define Persistence_landscape_on_grid_H_ @@ -20,6 +42,7 @@ #include #include #include +#include @@ -47,23 +70,6 @@ struct greater bool operator()(T const &a, T const &b) const { return a > b; } }; -//double epsi = std::numeric_limits::epsilon(); -double epsi = 0.000005; - - -/** - * A procedure used to compare doubles. Typically gien two doubles A and B, comparing A == B is not good idea. In this case, we use the procedure almostEqual with the epsi defined at - * the top of the file. Setting up the epsi give the user a tolerance on what should be consider equal. -**/ -inline bool almost_equal( double a , double b ) -{ - if ( fabs(a-b) < epsi ) - return true; - return false; -} - - - class Persistence_landscape_on_grid : public Abs_Vectorized_topological_data , @@ -739,7 +745,7 @@ public: /** * A function to compute averaged persistence landscape on a grid, based on vector of persistence landscapes on grid (projected to Abs_Topological_data_with_averages*, since this is a concretization of a virtual method. **/ - void compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ) + void compute_average( const std::vector< Abs_Topological_data_with_averages* >& to_average ) { bool dbg = false; diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h index 5870c652..951d8717 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#pragma once + #ifndef Vector_distances_in_diagram_H #define Vector_distances_in_diagram_H @@ -38,7 +38,7 @@ #include #include #include -#include +#include using namespace std; namespace Gudhi @@ -88,7 +88,7 @@ public: /** * The constructor that takes as an input a multiset of persistence intervals (given as vector of birth-death pairs). The second parameter is the desiered length of the output vectors. **/ - Vector_distances_in_diagram( std::vector< std::pair< double , double > > intervals , size_t where_to_cut ); + Vector_distances_in_diagram( const std::vector< std::pair< double , double > >& intervals , size_t where_to_cut ); /** * The constructor taking as an input a file with birth-death pairs. The second parameter is the desiered length of the output vectors. @@ -112,9 +112,9 @@ public: template friend ostream& operator << ( ostream& out , const Vector_distances_in_diagram& d ) { - for ( size_t i = 0 ; i != std::min( d.sorted_vector_of_distnaces.size() , d.where_to_cut) ; ++i ) + for ( size_t i = 0 ; i != std::min( d.sorted_vector_of_distances.size() , d.where_to_cut) ; ++i ) { - out << d.sorted_vector_of_distnaces[i] << " "; + out << d.sorted_vector_of_distances[i] << " "; } return out; } @@ -124,14 +124,14 @@ public: **/ inline double vector_in_position( size_t position ) { - if ( position >= this->sorted_vector_of_distnaces.size() )throw("Wrong position in accessing Vector_distances_in_diagram::sorted_vector_of_distnaces\n"); - return this->sorted_vector_of_distnaces[position]; + if ( position >= this->sorted_vector_of_distances.size() )throw("Wrong position in accessing Vector_distances_in_diagram::sorted_vector_of_distances\n"); + return this->sorted_vector_of_distances[position]; } /** * Return a size of a vector. **/ - inline size_t size()const{return this->sorted_vector_of_distnaces.size();} + inline size_t size()const{return this->sorted_vector_of_distances.size();} /** * Write a vector to a file. @@ -156,10 +156,10 @@ public: **/ bool operator == ( const Vector_distances_in_diagram& second ) { - if ( this->sorted_vector_of_distnaces.size() != second.sorted_vector_of_distnaces.size() )return false; - for ( size_t i = 0 ; i != this->sorted_vector_of_distnaces.size() ; ++i ) + if ( this->sorted_vector_of_distances.size() != second.sorted_vector_of_distances.size() )return false; + for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) { - if ( !almost_equal(this->sorted_vector_of_distnaces[i] , second.sorted_vector_of_distnaces[i]) )return false; + if ( !almost_equal(this->sorted_vector_of_distances[i] , second.sorted_vector_of_distances[i]) )return false; } return true; } @@ -183,7 +183,7 @@ public: /** * Compute a average of two persistent vectors. **/ - void compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ); + void compute_average( const std::vector< Abs_Topological_data_with_averages* >& to_average ); /** * Compute a distance of two persistent vectors. @@ -200,7 +200,7 @@ public: **/ std::vector< double > output_for_visualization() { - return this->sorted_vector_of_distnaces; + return this->sorted_vector_of_distances; } /** @@ -216,9 +216,9 @@ public: out << "set style histogram cluster gap 1" << std::endl; out << "set style fill solid border -1" << std::endl; out << "plot '-' notitle" << std::endl; - for ( size_t i = 0 ; i != this->sorted_vector_of_distnaces.size() ; ++i ) + for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) { - out << this->sorted_vector_of_distnaces[i] << std::endl; + out << this->sorted_vector_of_distances[i] << std::endl; } out << endl; out.close(); @@ -228,12 +228,12 @@ public: private: std::vector< std::pair< double , double > > intervals; - std::vector< double > sorted_vector_of_distnaces; + std::vector< double > sorted_vector_of_distances; - void compute_sorted_vector_of_distnaces_via_heap( size_t where_to_cut ); - void compute_sorted_vector_of_distnaces_via_vector_sorting( size_t where_to_cut ); + void compute_sorted_vector_of_distances_via_heap( size_t where_to_cut ); + void compute_sorted_vector_of_distances_via_vector_sorting( size_t where_to_cut ); - Vector_distances_in_diagram( const std::vector< double >& sorted_vector_of_distnaces_ ):sorted_vector_of_distnaces(sorted_vector_of_distnaces_) + Vector_distances_in_diagram( const std::vector< double >& sorted_vector_of_distances_ ):sorted_vector_of_distances(sorted_vector_of_distances_) { this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); } @@ -241,19 +241,19 @@ private: void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() { //warning, this function can be only called after filling in the intervals vector. - this->number_of_functions_for_vectorization = this->sorted_vector_of_distnaces.size(); - this->number_of_functions_for_projections_to_reals = this->sorted_vector_of_distnaces.size(); + this->number_of_functions_for_vectorization = this->sorted_vector_of_distances.size(); + this->number_of_functions_for_projections_to_reals = this->sorted_vector_of_distances.size(); } }; template -Vector_distances_in_diagram::Vector_distances_in_diagram( std::vector< std::pair< double,double > > intervals_ , size_t where_to_cut ):Abs_Vectorized_topological_data(where_to_cut) +Vector_distances_in_diagram::Vector_distances_in_diagram( const std::vector< std::pair< double,double > >& intervals_ , size_t where_to_cut ):Abs_Vectorized_topological_data(where_to_cut) { std::vector< std::pair< double,double > > i( intervals_ ); this->intervals = i; - //this->compute_sorted_vector_of_distnaces_via_heap( where_to_cut ); - this->compute_sorted_vector_of_distnaces_via_vector_sorting(where_to_cut); + //this->compute_sorted_vector_of_distances_via_heap( where_to_cut ); + this->compute_sorted_vector_of_distances_via_vector_sorting(where_to_cut); this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); } @@ -262,8 +262,8 @@ Vector_distances_in_diagram::Vector_distances_in_diagram( const Vector_distan { std::vector< std::pair< double,double > > inter( org.intervals ); this->intervals = inter; - std::vector< double > sorted_vector_of_distnaces( org.sorted_vector_of_distnaces ); - this->sorted_vector_of_distnaces = sorted_vector_of_distnaces; + std::vector< double > sorted_vector_of_distances( org.sorted_vector_of_distances ); + this->sorted_vector_of_distances = sorted_vector_of_distances; set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); } @@ -273,8 +273,8 @@ Vector_distances_in_diagram& Vector_distances_in_diagram::operator =( cons { std::vector< std::pair< double , double > > inter( org.intervals ); this->intervals = inter; - std::vector< double > sorted_vector_of_distnaces( org.sorted_vector_of_distnaces ); - this->sorted_vector_of_distnaces = sorted_vector_of_distnaces; + std::vector< double > sorted_vector_of_distances( org.sorted_vector_of_distances ); + this->sorted_vector_of_distances = sorted_vector_of_distances; return *this; } @@ -288,13 +288,13 @@ Vector_distances_in_diagram::Vector_distances_in_diagram( const char* filenam //std::vector< std::pair< double , double > > intervals = read_gudhi_file( filename , dimension ); this->intervals = intervals; - this->compute_sorted_vector_of_distnaces_via_heap( where_to_cut ); - //this->compute_sorted_vector_of_distnaces_via_vector_sorting( where_to_cut ); + this->compute_sorted_vector_of_distances_via_heap( where_to_cut ); + //this->compute_sorted_vector_of_distances_via_vector_sorting( where_to_cut ); set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); } template < typename F> -void Vector_distances_in_diagram::compute_sorted_vector_of_distnaces_via_heap( size_t where_to_cut ) +void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_heap( size_t where_to_cut ) { bool dbg = false; @@ -387,14 +387,14 @@ void Vector_distances_in_diagram::compute_sorted_vector_of_distnaces_via_heap std::cout << endl; } - this->sorted_vector_of_distnaces = heap; + this->sorted_vector_of_distances = heap; } template < typename F> -void Vector_distances_in_diagram::compute_sorted_vector_of_distnaces_via_vector_sorting( size_t where_to_cut ) +void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_vector_sorting( size_t where_to_cut ) { std::vector< double > distances; distances.reserve( (size_t)(0.5 * this->intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size()) ); @@ -421,7 +421,7 @@ void Vector_distances_in_diagram::compute_sorted_vector_of_distnaces_via_vect std::sort( distances.begin() , distances.end() , std::greater() ); if ( distances.size() > where_to_cut )distances.resize( where_to_cut ); - this->sorted_vector_of_distnaces = distances; + this->sorted_vector_of_distances = distances; } @@ -436,13 +436,13 @@ double Vector_distances_in_diagram::project_to_R( int number_of_function ) double result = 0; for ( size_t i = 0 ; i != number_of_function ; ++i ) { - result += sorted_vector_of_distnaces[i]; + result += sorted_vector_of_distances[i]; } return result; } template -void Vector_distances_in_diagram::compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ) +void Vector_distances_in_diagram::compute_average( const std::vector< Abs_Topological_data_with_averages* >& to_average ) { if ( to_average.size() == 0 ) @@ -455,9 +455,9 @@ void Vector_distances_in_diagram::compute_average( std::vector< Abs_Topologic for ( size_t i = 0 ; i != to_average.size() ; ++i ) { Vector_distances_in_diagram* current = (Vector_distances_in_diagram*)to_average[i]; - if ( current->sorted_vector_of_distnaces.size() > maximal_length_of_vector ) + if ( current->sorted_vector_of_distances.size() > maximal_length_of_vector ) { - maximal_length_of_vector = current->sorted_vector_of_distnaces.size(); + maximal_length_of_vector = current->sorted_vector_of_distances.size(); } } @@ -467,9 +467,9 @@ void Vector_distances_in_diagram::compute_average( std::vector< Abs_Topologic for ( size_t i = 0 ; i != to_average.size() ; ++i ) { Vector_distances_in_diagram* current = (Vector_distances_in_diagram*)to_average[i]; - for ( size_t j = 0 ; j != current->sorted_vector_of_distnaces.size() ; ++j ) + for ( size_t j = 0 ; j != current->sorted_vector_of_distances.size() ; ++j ) { - av[j] += current->sorted_vector_of_distnaces[j]; + av[j] += current->sorted_vector_of_distances[j]; } } @@ -477,7 +477,7 @@ void Vector_distances_in_diagram::compute_average( std::vector< Abs_Topologic { av[i] /= (double)to_average.size(); } - this->sorted_vector_of_distnaces = av; + this->sorted_vector_of_distances = av; this->where_to_cut = av.size(); } @@ -498,40 +498,40 @@ double Vector_distances_in_diagram::distance( const Abs_Topological_data_with double result = 0; - for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distnaces.size(), second_->sorted_vector_of_distnaces.size()) ; ++i ) + for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(), second_->sorted_vector_of_distances.size()) ; ++i ) { if ( power == 1 ) { if ( dbg ) { - cerr << "|" << this->sorted_vector_of_distnaces[i] << " - " << second_->sorted_vector_of_distnaces[i] << " | : " << fabs( this->sorted_vector_of_distnaces[i] - second_->sorted_vector_of_distnaces[i] ) << endl; + cerr << "|" << this->sorted_vector_of_distances[i] << " - " << second_->sorted_vector_of_distances[i] << " | : " << fabs( this->sorted_vector_of_distances[i] - second_->sorted_vector_of_distances[i] ) << endl; } - result += fabs( this->sorted_vector_of_distnaces[i] - second_->sorted_vector_of_distnaces[i] ); + result += fabs( this->sorted_vector_of_distances[i] - second_->sorted_vector_of_distances[i] ); } else { - result += std::pow( fabs( this->sorted_vector_of_distnaces[i] - second_->sorted_vector_of_distnaces[i] ) , power ); + result += std::pow( fabs( this->sorted_vector_of_distances[i] - second_->sorted_vector_of_distances[i] ) , power ); if ( dbg ) { - cerr << "| " << this->sorted_vector_of_distnaces[i] << " - " << second_->sorted_vector_of_distnaces[i] << " : " << fabs( this->sorted_vector_of_distnaces[i] - second_->sorted_vector_of_distnaces[i] ) << endl; + cerr << "| " << this->sorted_vector_of_distances[i] << " - " << second_->sorted_vector_of_distances[i] << " : " << fabs( this->sorted_vector_of_distances[i] - second_->sorted_vector_of_distances[i] ) << endl; } } } - if ( this->sorted_vector_of_distnaces.size() != second_->sorted_vector_of_distnaces.size() ) + if ( this->sorted_vector_of_distances.size() != second_->sorted_vector_of_distances.size() ) { - if ( this->sorted_vector_of_distnaces.size() > second_->sorted_vector_of_distnaces.size() ) + if ( this->sorted_vector_of_distances.size() > second_->sorted_vector_of_distances.size() ) { - for ( size_t i = second_->sorted_vector_of_distnaces.size() ; i != this->sorted_vector_of_distnaces.size() ; ++i ) + for ( size_t i = second_->sorted_vector_of_distances.size() ; i != this->sorted_vector_of_distances.size() ; ++i ) { - result += fabs( this->sorted_vector_of_distnaces[i] ); + result += fabs( this->sorted_vector_of_distances[i] ); } } else { - //this->sorted_vector_of_distnaces.size() < second_->sorted_vector_of_distnaces.size() - for ( size_t i = this->sorted_vector_of_distnaces.size() ; i != second_->sorted_vector_of_distnaces.size() ; ++i ) + //this->sorted_vector_of_distances.size() < second_->sorted_vector_of_distances.size() + for ( size_t i = this->sorted_vector_of_distances.size() ; i != second_->sorted_vector_of_distances.size() ; ++i ) { - result += fabs( second_->sorted_vector_of_distnaces[i] ); + result += fabs( second_->sorted_vector_of_distances[i] ); } } } @@ -550,10 +550,10 @@ std::vector Vector_distances_in_diagram::vectorize( int number_of_fun if ( number_of_function > this->number_of_functions_for_vectorization )throw "Wrong index of a function in a method Vector_distances_in_diagram::vectorize"; if ( number_of_function < 0 )throw "Wrong index of a function in a method Vector_distances_in_diagram::vectorize"; - std::vector< double > result( std::min( (size_t)number_of_function , this->sorted_vector_of_distnaces.size() ) ); - for ( size_t i = 0 ; i != std::min( (size_t)number_of_function , this->sorted_vector_of_distnaces.size() ) ; ++i ) + std::vector< double > result( std::min( (size_t)number_of_function , this->sorted_vector_of_distances.size() ) ); + for ( size_t i = 0 ; i != std::min( (size_t)number_of_function , this->sorted_vector_of_distances.size() ) ; ++i ) { - result[i] = this->sorted_vector_of_distnaces[i]; + result[i] = this->sorted_vector_of_distances[i]; } return result; } @@ -565,9 +565,9 @@ void Vector_distances_in_diagram::write_to_file( const char* filename ) std::ofstream out; out.open( filename ); - for ( size_t i = 0 ; i != this->sorted_vector_of_distnaces.size() ; ++i ) + for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) { - out << this->sorted_vector_of_distnaces[i] << " "; + out << this->sorted_vector_of_distances[i] << " "; } out.close(); @@ -590,7 +590,7 @@ void Vector_distances_in_diagram::load_from_file( const char* filename ) { in >> number; if ( in.eof() )break; - this->sorted_vector_of_distnaces.push_back(number); + this->sorted_vector_of_distances.push_back(number); } in.close(); } @@ -601,9 +601,9 @@ double Vector_distances_in_diagram::compute_scalar_product( const Abs_Topolog Vector_distances_in_diagram* second_vector = (Vector_distances_in_diagram*)second; double result = 0; - for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distnaces.size(),second_vector->sorted_vector_of_distnaces.size()) ; ++i ) + for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(),second_vector->sorted_vector_of_distances.size()) ; ++i ) { - result += this->sorted_vector_of_distnaces[i] * second_vector->sorted_vector_of_distnaces[i]; + result += this->sorted_vector_of_distances[i] * second_vector->sorted_vector_of_distances[i]; } return result; } diff --git a/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h b/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h index d2e6ec3c..03446289 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 @@ -35,7 +35,12 @@ namespace Gudhi namespace Gudhi_stat { - +/** + * This method reads persistence from standalone file. The format of the file is as follows: + * In every line there are two numbers which denotes birth and death of a persistence interval. The file is not supposed to contains any nonwhite characters excet from digits. In particular symbols + * like 'inf' are not allowed. + * If begin of the interval is greater than the end of the interval, those two numbers are swapped. +**/ std::vector< std::pair< double , double > > read_standard_file( const char* filename ) { bool dbg = false; @@ -78,6 +83,17 @@ std::vector< std::pair< double , double > > read_standard_file( const char* file return barcode; }//read_standard_file + + +/** + * This procedure reads Gudhi style file. The format of a Gudhi style file is as follows: + * Each line consist of the following information: + * A prime number p indicating that the class is nontrivial over Z_p field. + * A positive numebr, being a dimension of a persistence class + * A birth and a death time of a class. + * Death time may be infitnity, in which case a string 'inf' is used. + * If begin of the interval is greater than the end of the interval, those two numbers are swapped. +**/ std::vector< std::pair< double , double > > read_gudhi_file( const char* filename , size_t dimension = 0 ) { bool dbg = false; diff --git a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp index 505b1912..c4c97d72 100644 --- a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp +++ b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 diff --git a/src/Gudhi_stat/test/persistence_intervals_test.cpp b/src/Gudhi_stat/test/persistence_intervals_test.cpp index 70e20ed0..f86300fa 100644 --- a/src/Gudhi_stat/test/persistence_intervals_test.cpp +++ b/src/Gudhi_stat/test/persistence_intervals_test.cpp @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 diff --git a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp index 7d0b58a5..d7d72d6b 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 diff --git a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp index 8a7d0ce1..9506410a 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 diff --git a/src/Gudhi_stat/test/vector_representation_test.cpp b/src/Gudhi_stat/test/vector_representation_test.cpp index e87d1b23..44801ad9 100644 --- a/src/Gudhi_stat/test/vector_representation_test.cpp +++ b/src/Gudhi_stat/test/vector_representation_test.cpp @@ -4,7 +4,7 @@ * * Author(s): Pawel Dlotko * - * Copyright (C) 2015 INRIA Sophia-Saclay (France) + * 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 @@ -22,7 +22,7 @@ #include -#include +#include #include #define BOOST_TEST_DYN_LINK diff --git a/src/Gudhi_stat/utilities/CMakeLists.txt b/src/Gudhi_stat/utilities/CMakeLists.txt new file mode 100644 index 00000000..d75acc43 --- /dev/null +++ b/src/Gudhi_stat/utilities/CMakeLists.txt @@ -0,0 +1,103 @@ +cmake_minimum_required(VERSION 2.6) +project(GUDHI_STAT) + + + +#persitence diagrams +add_executable ( persistence_intervals/plot_persistence_intervals persistence_intervals/plot_persistence_intervals.cpp ) +target_link_libraries( persistence_intervals/plot_persistence_intervals ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_intervals/compute_birth_death_range_in_persistence_diagram persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp ) +target_link_libraries( persistence_intervals/compute_birth_death_range_in_persistence_diagram ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_intervals/compute_number_of_dominant_intervals persistence_intervals/compute_number_of_dominant_intervals.cpp ) +target_link_libraries( persistence_intervals/compute_number_of_dominant_intervals ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_intervals/plot_histogram_of_intervals_lengths persistence_intervals/plot_histogram_of_intervals_lengths.cpp ) +target_link_libraries( persistence_intervals/plot_histogram_of_intervals_lengths ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_intervals/plot_persistence_Betti_numebrs persistence_intervals/plot_persistence_Betti_numebrs.cpp ) +target_link_libraries( persistence_intervals/plot_persistence_Betti_numebrs ${Boost_SYSTEM_LIBRARY}) + +#when we have bottleneck and wasserstein distance computations, add suitable programs here. + + +#persitence landscapes +add_executable ( persistence_landscapes/average_landscapes persistence_landscapes/average_landscapes.cpp ) +target_link_libraries(persistence_landscapes/average_landscapes ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_landscapes/create_landscapes persistence_landscapes/create_landscapes.cpp ) +target_link_libraries(persistence_landscapes/create_landscapes ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_landscapes/plot_landscapes persistence_landscapes/plot_landscapes.cpp ) +target_link_libraries(persistence_landscapes/plot_landscapes ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_landscapes/compute_distance_of_landscapes persistence_landscapes/compute_distance_of_landscapes.cpp ) +target_link_libraries(persistence_landscapes/compute_distance_of_landscapes ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_landscapes/compute_scalar_product_of_landscapes persistence_landscapes/compute_scalar_product_of_landscapes.cpp ) +target_link_libraries(persistence_landscapes/compute_scalar_product_of_landscapes ${Boost_SYSTEM_LIBRARY}) + +#persitence landscapes on a grid +add_executable ( persistence_landscapes_on_grid/average_landscapes_on_grid persistence_landscapes_on_grid/average_landscapes_on_grid.cpp ) +target_link_libraries(persistence_landscapes_on_grid/average_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_landscapes_on_grid/create_landscapes_on_grid persistence_landscapes_on_grid/create_landscapes_on_grid.cpp ) +target_link_libraries(persistence_landscapes_on_grid/create_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_landscapes_on_grid/plot_landscapes_on_grid persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp ) +target_link_libraries(persistence_landscapes_on_grid/plot_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp ) +target_link_libraries(persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp ) +target_link_libraries(persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) + +#persitence heat maps +add_executable ( persistence_heat_maps/average_persistence_heat_maps persistence_heat_maps/average_persistence_heat_maps.cpp ) +target_link_libraries(persistence_heat_maps/average_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_heat_maps/create_persistence_heat_maps persistence_heat_maps/create_persistence_heat_maps.cpp ) +target_link_libraries(persistence_heat_maps/create_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_heat_maps/plot_persistence_heat_map persistence_heat_maps/plot_persistence_heat_map.cpp ) +target_link_libraries(persistence_heat_maps/plot_persistence_heat_map ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_heat_maps/compute_distance_of_persistence_heat_maps persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp ) +target_link_libraries(persistence_heat_maps/compute_distance_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp ) +target_link_libraries(persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_heat_maps/create_pssk persistence_heat_maps/create_pssk.cpp ) +target_link_libraries(persistence_heat_maps/create_pssk ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp ) +target_link_libraries(persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp ) +target_link_libraries(persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp ) +target_link_libraries(persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence ${Boost_SYSTEM_LIBRARY}) + + +#persitence vectors +add_executable ( persistence_vectors/average_persistence_vectors persistence_vectors/average_persistence_vectors.cpp ) +target_link_libraries(persistence_vectors/average_persistence_vectors ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_vectors/create_persistence_vectors persistence_vectors/create_persistence_vectors.cpp ) +target_link_libraries(persistence_vectors/create_persistence_vectors ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_vectors/compute_distance_of_persistence_vectors persistence_vectors/compute_distance_of_persistence_vectors.cpp ) +target_link_libraries(persistence_vectors/compute_distance_of_persistence_vectors ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_vectors/compute_scalar_product_of_persistence_vectors persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp ) +target_link_libraries(persistence_vectors/compute_scalar_product_of_persistence_vectors ${Boost_SYSTEM_LIBRARY}) + +add_executable ( persistence_vectors/plot_persistence_vectors persistence_vectors/plot_persistence_vectors.cpp ) +target_link_libraries(persistence_vectors/plot_persistence_vectors ${Boost_SYSTEM_LIBRARY}) + + + diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp new file mode 100644 index 00000000..811e4557 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp @@ -0,0 +1,73 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program computes average persistence landscape of persistence landscapes created based on persistence diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; + std::vector< const char* > filenames; + + if ( argc == 1 ) + { + std::cout << "No input files given, the program will now terminate \n"; + return 1; + } + + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Creating persistence landscapes...\n"; + std::vector< Abs_Topological_data_with_averages* > maps; + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + Persistence_heat_maps* l = new Persistence_heat_maps; + l->load_from_file( filenames[i] ); + maps.push_back( (Abs_Topological_data_with_averages*)l ); + } + + Persistence_heat_maps av; + av.compute_average( maps ); + + av.print_to_file( "average.mps" ); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + delete maps[i]; + } + + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp new file mode 100644 index 00000000..e462f009 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp @@ -0,0 +1,107 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute dsitance of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The first parameter of a program is an interger p. The program compute L^p distance of the two landscapes. For L^infty distance choose p = -1. \n"; + std::cout << "The remaining parameters of this programs are names of files with persistence landscapes.\n"; + + if ( argc < 3 ) + { + std::cout << "Wrong number of parameters, the program will now terminate \n"; + return 1; + } + + int p = atoi( argv[1] ); + + std::vector< const char* > filenames; + for ( int i = 2 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Abs_Topological_data_with_distances* > maps; + maps.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + Persistence_heat_maps* l = new Persistence_heat_maps; + l->load_from_file( filenames[file_no] ); + maps.push_back( (Abs_Topological_data_with_distances*)l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > distance( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + distance[i] = v; + } + + //and now we can compute the distnaces: + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + for ( size_t j = i ; j != filenames.size() ; ++j ) + { + distance[i][j] = distance[j][i] = ((Persistence_heat_maps*)maps[i])->distance( maps[j] , p ) ; + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "distance" ); + for ( size_t i = 0 ; i != distance.size() ; ++i ) + { + for ( size_t j = 0 ; j != distance.size() ; ++j ) + { + cout << distance[i][j] << " "; + out << distance[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + return 0; +} + + + + + + + diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp new file mode 100644 index 00000000..c9ffa22e --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp @@ -0,0 +1,91 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute scalar product of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The parameters of this programs are names of files with persistence landscapes.\n"; + + std::vector< const char* > filenames; + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Persistence_heat_maps* > maps; + maps.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + Persistence_heat_maps* l = new Persistence_heat_maps; + l->load_from_file( filenames[file_no] ); + maps.push_back( l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > scalar_product( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + scalar_product[i] = v; + } + + //and now we can compute the scalar product: + for ( size_t i = 0 ; i != maps.size() ; ++i ) + { + for ( size_t j = i ; j != maps.size() ; ++j ) + { + scalar_product[i][j] = scalar_product[j][i] = ((Persistence_heat_maps*)maps[i])->compute_scalar_product( maps[j] ) ; + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "scalar_product" ); + for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) + { + for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) + { + cout << scalar_product[i][j] << " "; + out << scalar_product[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp new file mode 100644 index 00000000..2cc00b87 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp @@ -0,0 +1,79 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates persistence heat map of diagrams provided as an input.\n"; + std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; + std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; + std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; + std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; + + if ( argc < 5 ) + { + std::cout << "Wrong parameter list, the program will now terminate \n"; + return 1; + } + + size_t size_of_grid = (size_t)atoi( argv[1] ); + double min_ = atof( argv[2] ); + double max_ = atof( argv[3] ); + size_t stdiv = atof( argv[4] ); + + std::vector< const char* > filenames; + for ( int i = 5 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + + + std::cout << "Creating persistence heat maps...\n"; + std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; + Persistence_heat_maps l( filenames[i] , filter, constant_function, false , size_of_grid , min_ , max_ ); + + std::stringstream ss; + ss << filenames[i] << ".mps"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp new file mode 100644 index 00000000..ae579329 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp @@ -0,0 +1,79 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates persistence heat map of diagrams provided as an input. The Gaussian kernels are weighted by the arcus tangens of their persistence.\n"; + std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; + std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; + std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; + std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; + + if ( argc < 5 ) + { + std::cout << "Wrong parameter list, the program will now terminate \n"; + return 1; + } + + size_t size_of_grid = (size_t)atoi( argv[1] ); + double min_ = atof( argv[2] ); + double max_ = atof( argv[3] ); + size_t stdiv = atof( argv[4] ); + + std::vector< const char* > filenames; + for ( int i = 5 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + + + std::cout << "Creating persistence heat maps...\n"; + std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; + Persistence_heat_maps l( filenames[i] , filter, arc_tan_of_persistence_of_point, false , size_of_grid , min_ , max_ ); + + std::stringstream ss; + ss << filenames[i] << ".mps"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp new file mode 100644 index 00000000..7877d699 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp @@ -0,0 +1,79 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates persistence heat map of diagrams provided as an input. The Gaussian kernels are weighted by the distance of a center from the diagonal.\n"; + std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; + std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; + std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; + std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; + + if ( argc < 5 ) + { + std::cout << "Wrong parameter list, the program will now terminate \n"; + return 1; + } + + size_t size_of_grid = (size_t)atoi( argv[1] ); + double min_ = atof( argv[2] ); + double max_ = atof( argv[3] ); + size_t stdiv = atof( argv[4] ); + + std::vector< const char* > filenames; + for ( int i = 5 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + + + std::cout << "Creating persistence heat maps...\n"; + std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; + Persistence_heat_maps l( filenames[i] , filter, distance_from_diagonal, false , size_of_grid , min_ , max_ ); + + std::stringstream ss; + ss << filenames[i] << ".mps"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp new file mode 100644 index 00000000..67972afe --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp @@ -0,0 +1,79 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates persistence heat map of diagrams provided as an input. The Gaussian kernels are weighted by the square of distance of a center from the diagonal.\n"; + std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; + std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; + std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; + std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; + + if ( argc < 5 ) + { + std::cout << "Wrong parameter list, the program will now terminate \n"; + return 1; + } + + size_t size_of_grid = (size_t)atoi( argv[1] ); + double min_ = atof( argv[2] ); + double max_ = atof( argv[3] ); + size_t stdiv = atof( argv[4] ); + + std::vector< const char* > filenames; + for ( int i = 5 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + + + std::cout << "Creating persistence heat maps...\n"; + std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; + Persistence_heat_maps l( filenames[i] , filter, squared_distance_from_diagonal, false , size_of_grid , min_ , max_ ); + + std::stringstream ss; + ss << filenames[i] << ".mps"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp new file mode 100644 index 00000000..1fc9d263 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp @@ -0,0 +1,77 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates PSSK of diagrams provided as an input.\n"; + std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; + std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; + std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; + std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; + + if ( argc < 5 ) + { + std::cout << "Wrong parameter list, the program will now terminate \n"; + return 1; + } + + size_t size_of_grid = (size_t)atoi( argv[1] ); + double min_ = atof( argv[2] ); + double max_ = atof( argv[3] ); + size_t stdiv = atof( argv[4] ); + + std::vector< const char* > filenames; + for ( int i = 5 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Creating persistence heat maps...\n"; + std::vector< std::vector > filter = create_Gaussian_filter(stdiv,1); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; + PSSK l( filenames[i] , filter , size_of_grid , min_ , max_ ); + + std::stringstream ss; + ss << filenames[i] << ".pssk"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp new file mode 100644 index 00000000..6b67ea57 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp @@ -0,0 +1,44 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program plot persistence landscape stored in a file (the file needs to be created beforehand). Please call the code with the name of a landsape file \n"; + Persistence_heat_maps l; + l.load_from_file( argv[1] ); + l.plot( argv[1] ); + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp b/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp new file mode 100644 index 00000000..2c55a806 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp @@ -0,0 +1,72 @@ +/* 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 + +#include +#include +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +using namespace std; + + +int main( int argc , char** argv ) +{ + //std::cout << "This program compute minimum birth and the maximum death time for a collection of persistence intervals \n"; + //if ( argc != 2 ) + //{ + // cout << "To run this program, please provide the name of a file with persistence diagram \n"; + // return 1; + //} + //Persistence_intervals p( argv[1] ); + //std::pair min_max_ = p.min_max(); + //cout << "Birth-death range : min: " << min_max_.first << ", max: " << min_max_.second << endl; + + std::vector< const char* > filenames; + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + double min_ = std::numeric_limits::max(); + double max_ = -std::numeric_limits::max(); + + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + std::cout << "Creating diagram based on a file : " << filenames[file_no] << std::endl; + Persistence_intervals p( filenames[file_no] ); + std::pair min_max_ = p.min_max(); + if ( min_max_.first < min_ )min_ = min_max_.first; + if ( min_max_.second > max_ )max_ = min_max_.second; + } + cout << "Birth-death range : min: " << min_ << ", max: " << max_ << endl; + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp b/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp new file mode 100644 index 00000000..b29aea3a --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp @@ -0,0 +1,57 @@ +/* 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 + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +using namespace std; + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute the dominant intervals. A number of intervals to be displayed is a parameter of this program. \n"; + if ( argc != 3 ) + { + cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n"; + return 1; + } + + Persistence_intervals p( argv[1] ); + std::vector< std::pair > dominant_intervals = p.dominant_intervals( atoi( argv[2] ) ); + cout << "Here are the dominant intervals : " << endl; + for ( size_t i = 0 ; i != dominant_intervals.size() ; ++i ) + { + cout << " " << dominant_intervals[i].first<< "," << dominant_intervals[i].second << " "<< endl; + } + + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp new file mode 100644 index 00000000..99f7e640 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp @@ -0,0 +1,69 @@ +/* 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 + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +using namespace std; + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute a histogram of barcode's length. A number of bins in the histogram is a parameter of this program. \n"; + if ( argc != 3 ) + { + cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n"; + return 1; + } + + Persistence_intervals p( argv[1] ); + std::vector< std::pair > dominant_intervals = p.dominant_intervals( atoi( argv[2] ) ); + std::vector< size_t > histogram = p.histograms_of_lengths( 10 ); + + std::stringstream gnuplot_script; + gnuplot_script << argv[1] << "_Gnuplot_script"; + ofstream out; + out.open( gnuplot_script.str().c_str() ); + + out << "set style data histogram" << std::endl; + out << "set style histogram cluster gap 1" << std::endl; + out << "set style fill solid border -1" << std::endl; + out << "plot '-' notitle" << std::endl; + for ( size_t i = 0 ; i != histogram.size() ; ++i ) + { + out << histogram[i] << std::endl; + } + out << endl; + std::cout << "To vizualize, open gnuplot and type: load \'" << gnuplot_script.str().c_str() << "\'" << std::endl; + out.close(); + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp new file mode 100644 index 00000000..e23a4f20 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp @@ -0,0 +1,93 @@ +/* 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 + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +using namespace std; + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute a plot of persistence Betti numbers. The input parameter is a file with persistence intervals. \n"; + if ( argc != 2 ) + { + cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n"; + return 1; + } + + + + std::stringstream gnuplot_script; + gnuplot_script << argv[1] << "_Gnuplot_script"; + ofstream out; + out.open( gnuplot_script.str().c_str() ); + + Persistence_intervals p( argv[1] ); + std::vector< std::pair< double , size_t > > pbns = p.compute_persistent_betti_numbers(); + + //set up the ranges so that we see the image well. + double xRangeBegin = pbns[0].first; + double xRangeEnd = pbns[ pbns.size()-1 ].first; + double yRangeBegin = 0; + double yRangeEnd = 0; + for ( size_t i = 0 ; i != pbns.size() ; ++i ) + { + if ( pbns[i].second > yRangeEnd )yRangeEnd = pbns[i].second; + } + xRangeBegin -= (xRangeEnd -xRangeBegin)/100.0; + xRangeEnd += (xRangeEnd -xRangeBegin)/100.0; + yRangeEnd += yRangeEnd/100; + + + out << "set xrange [" << xRangeBegin << " : " << xRangeEnd << "]" << endl; + out << "set yrange [" << yRangeBegin << " : " << yRangeEnd << "]" << endl; + out << "plot '-' using 1:2 notitle with lp " << std::endl; + double previous_y = 0; + for ( size_t i = 0 ; i != pbns.size() ; ++i ) + { + out << pbns[i].first << " " << previous_y << endl; + out << pbns[i].first << " " << pbns[i].second << std::endl; + previous_y = pbns[i].second; + } + out << endl; + out.close(); + + //for ( size_t i = 0 ; i != pbns.size() ; ++i ) + //{ + // cout << pbns[i].first << " " << pbns[i].second << std::endl; + //} + + std::cout << "To vizualize, open gnuplot and type: load \'" << gnuplot_script.str().c_str() << "\'" << std::endl; + + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp new file mode 100644 index 00000000..5950240e --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp @@ -0,0 +1,59 @@ +/* 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 + +#include + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + + +double epsilon = 0.0000005; + +using namespace std; + + +int main( int argc , char** argv ) +{ + if ( argc != 2 ) + { + cout << "To run this program, please provide the name of a file with persistence diagram \n"; + return 1; + } + Persistence_intervals b( argv[1] ); + b.plot( argv[1] ); + return 0; +} + + + + + + + diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/average_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/average_landscapes.cpp new file mode 100644 index 00000000..895146f5 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_landscapes/average_landscapes.cpp @@ -0,0 +1,75 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program computes average persistence landscape of persistence landscapes created based on persistence diagrams provided as an input (you must create them first).\n"; + std::cout << "Please call this program with the names of files with persistence landscapes. The program will create a persistence landscape which will be their average \n"; + std::vector< const char* > filenames; + + if ( argc == 1 ) + { + std::cout << "No input files given, the program will now terminate \n"; + return 1; + } + + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Creating persistence landscapes...\n"; + std::vector< Abs_Topological_data_with_averages* > lands; + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + Persistence_landscape* l = new Persistence_landscape; + l->load_landscape_from_file( filenames[i] ); + lands.push_back( (Abs_Topological_data_with_averages*)l ); + } + + Persistence_landscape av; + av.compute_average( lands ); + + av.print_to_file( "average.land" ); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + delete lands[i]; + } + + std::cout << "Done \n"; + + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp new file mode 100644 index 00000000..34ec0bfa --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp @@ -0,0 +1,109 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute distance of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The first parameter of a program is an interger p. The program compute L^p distance of the given landscapes. For L^infty distance choose p = -1. \n"; + std::cout << "The remaining parameters of this programs are names of files with persistence landscapes."; + + if ( argc < 3 ) + { + std::cout << "Wrong number of parameters, the program will now terminate \n"; + return 1; + } + + int p = atoi( argv[1] ); + + std::vector< const char* > filenames; + for ( int i = 2 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Persistence_landscape > landscaspes; + landscaspes.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + std::cout << "Loading persistence landscape from a file : " << filenames[file_no] << std::endl; + Persistence_landscape l; + l.load_landscape_from_file( filenames[file_no] ); + landscaspes.push_back( l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > distance( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + distance[i] = v; + } + + //and now we can compute the distances: + for ( size_t i = 0 ; i != landscaspes.size() ; ++i ) + { + for ( size_t j = i ; j != landscaspes.size() ; ++j ) + { + distance[i][j] = distance[j][i] = compute_discance_of_landscapes( landscaspes[i], landscaspes[j] , p ) ; + + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "distance" ); + for ( size_t i = 0 ; i != distance.size() ; ++i ) + { + for ( size_t j = 0 ; j != distance.size() ; ++j ) + { + cout << distance[i][j] << " "; + out << distance[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + return 0; +} + + + + + + + diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp new file mode 100644 index 00000000..443240ff --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp @@ -0,0 +1,92 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute scalar product of persistence landscapes stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The parameters of this programs are names of files with persistence landscapes.\n"; + + std::vector< const char* > filenames; + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Persistence_landscape > landscaspes; + landscaspes.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + std::cout << "Reading persistence landscape from a file : " << filenames[file_no] << std::endl; + Persistence_landscape l; + l.load_landscape_from_file( filenames[file_no] ); + landscaspes.push_back( l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > scalar_product( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + scalar_product[i] = v; + } + + //and now we can compute the scalar product: + for ( size_t i = 0 ; i != landscaspes.size() ; ++i ) + { + for ( size_t j = i ; j != landscaspes.size() ; ++j ) + { + scalar_product[i][j] = scalar_product[j][i] = compute_inner_product( landscaspes[i], landscaspes[j] ) ; + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "scalar_product" ); + for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) + { + for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) + { + cout << scalar_product[i][j] << " "; + out << scalar_product[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/create_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/create_landscapes.cpp new file mode 100644 index 00000000..fe96a067 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_landscapes/create_landscapes.cpp @@ -0,0 +1,56 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates persistence landscapes of diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; + std::vector< const char* > filenames; + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Creating persistence landscapes...\n"; + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + Persistence_landscape l( filenames[i] , 1 ); + std::stringstream ss; + ss << filenames[i] << ".land"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/plot_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/plot_landscapes.cpp new file mode 100644 index 00000000..e035e4aa --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_landscapes/plot_landscapes.cpp @@ -0,0 +1,50 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program plot persistence landscape stored in a file (the file needs to be created beforehand). Please call the code with the name of a landsape file \n"; + Persistence_landscape l; + l.load_landscape_from_file( argv[1] ); + + std::stringstream ss; + ss << argv[1] << "_gnuplot_script"; + l.plot( ss.str().c_str() ); + + std::cout << "Done \n"; + + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp new file mode 100644 index 00000000..3b580181 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp @@ -0,0 +1,74 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program computes average persistence landscape on grid of persistence landscapes on grid created based on persistence diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; + std::vector< const char* > filenames; + + if ( argc == 1 ) + { + std::cout << "No input files given, the program will now terminate \n"; + return 1; + } + + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Creating persistence landscapes...\n"; + std::vector< Abs_Topological_data_with_averages* > lands; + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + Persistence_landscape_on_grid* l = new Persistence_landscape_on_grid; + l->load_landscape_from_file( filenames[i] ); + lands.push_back( (Abs_Topological_data_with_averages*)l ); + } + + Persistence_landscape_on_grid av; + av.compute_average( lands ); + + av.print_to_file( "average.g_land" ); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + delete lands[i]; + } + + std::cout << "Done \n"; + + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp new file mode 100644 index 00000000..1813e297 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp @@ -0,0 +1,107 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute dsitance of persistence landscapes on grid stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The first parameter of a program is an interger p. The program compute L^p distance of the the landscapes on grid. For L^infty distance choose p = -1. \n"; + std::cout << "The remaining parameters of this programs are names of files with persistence landscapes on grid.\n"; + + if ( argc < 3 ) + { + std::cout << "Wrong number of parameters, the program will now terminate \n"; + return 1; + } + + int p = atoi( argv[1] ); + + std::vector< const char* > filenames; + for ( int i = 2 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Persistence_landscape_on_grid > landscaspes; + landscaspes.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + Persistence_landscape_on_grid l; + l.load_landscape_from_file( filenames[file_no] ); + landscaspes.push_back( l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > distance( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + distance[i] = v; + } + + //and now we can compute the scalar product: + for ( size_t i = 0 ; i != landscaspes.size() ; ++i ) + { + for ( size_t j = i ; j != landscaspes.size() ; ++j ) + { + distance[i][j] = distance[j][i] = compute_discance_of_landscapes_on_grid( landscaspes[i], landscaspes[j] , p ) ; + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "distance" ); + for ( size_t i = 0 ; i != distance.size() ; ++i ) + { + for ( size_t j = 0 ; j != distance.size() ; ++j ) + { + cout << distance[i][j] << " "; + out << distance[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + return 0; +} + + + + + + + diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp new file mode 100644 index 00000000..33e111d5 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp @@ -0,0 +1,91 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute scalar product of persistence landscapes on grid stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The parameters of this programs are names of files with persistence landscapes on grid.\n"; + + std::vector< const char* > filenames; + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Persistence_landscape_on_grid > landscaspes; + landscaspes.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + Persistence_landscape_on_grid l; + l.load_landscape_from_file( filenames[file_no] ); + landscaspes.push_back( l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > scalar_product( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + scalar_product[i] = v; + } + + //and now we can compute the scalar product: + for ( size_t i = 0 ; i != landscaspes.size() ; ++i ) + { + for ( size_t j = i ; j != landscaspes.size() ; ++j ) + { + scalar_product[i][j] = scalar_product[j][i] = compute_inner_product( landscaspes[i], landscaspes[j] ) ; + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "scalar_product" ); + for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) + { + for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) + { + cout << scalar_product[i][j] << " "; + out << scalar_product[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp new file mode 100644 index 00000000..f6545e44 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp @@ -0,0 +1,80 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates persistence landscape on grid of diagrams provided as an input.\n"; + std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; + std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; + std::cout << "The remaining parameters are the names of files with persistence diagrams. \n"; + + if ( argc < 4 ) + { + std::cout << "Wrong parameter list, the program will now terminate \n"; + return 1; + } + + size_t size_of_grid = (size_t)atoi( argv[1] ); + double min_ = atof( argv[2] ); + double max_ = atof( argv[3] ); + + std::vector< const char* > filenames; + for ( int i = 4 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Creating persistence landscapes...\n"; + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::cout << "Creating persistence landscape on a grid based on a file : " << filenames[i] << std::endl; + Persistence_landscape_on_grid l; + if ( (min_ != -1) || (max_ != -1) ) + { + l = Persistence_landscape_on_grid( filenames[i] , min_ , max_ , size_of_grid ); + } + else + { + //(min_ == -1) && (max_ == -1), in this case the program will find min_ and max_ based on the data. + l = Persistence_landscape_on_grid( filenames[i] , size_of_grid ); + } + std::stringstream ss; + ss << filenames[i] << ".g_land"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp new file mode 100644 index 00000000..c12c3862 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp @@ -0,0 +1,55 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program plot persistence landscape on grid stored in a file (the file needs to be created beforehand). Please call the code with the name of a landsape on grid file \n"; + if ( argc == 1 ) + { + std::cout << "Wrong parameters of a program call, the program will now terminate \n"; + return 1; + } + Persistence_landscape_on_grid l; + l.load_landscape_from_file( argv[1] ); + + std::stringstream ss; + ss << argv[1] << "_gnuplot_script"; + l.plot( ss.str().c_str() ); + + std::cout << "Done \n"; + + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp new file mode 100644 index 00000000..3262b157 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp @@ -0,0 +1,75 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program computes average persistence vector of persistence vectors created based on persistence diagrams provided as an input. \n"; + std::cout << "Please call this program with the names of files with persistence diagrams \n"; + std::vector< const char* > filenames; + + if ( argc == 1 ) + { + std::cout << "No input files given, the program will now terminate \n"; + return 1; + } + + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + std::cout << "Reading persistence vectors...\n"; + std::vector< Abs_Topological_data_with_averages* > lands; + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + Vector_distances_in_diagram< euclidean_distance >* l = new Vector_distances_in_diagram< euclidean_distance >; + l->load_from_file( filenames[i] ); + lands.push_back( (Abs_Topological_data_with_averages*)l ); + } + + Vector_distances_in_diagram< euclidean_distance > av; + av.compute_average( lands ); + + av.print_to_file( "average.vect" ); + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + delete lands[i]; + } + + std::cout << "Done \n"; + + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp new file mode 100644 index 00000000..33d92a72 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp @@ -0,0 +1,108 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute distance of persistence vectors stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The first parameter of a program is an interger p. The program compute l^p distance of the vectors. For l^infty distance choose p = -1. \n"; + std::cout << "The remaining parameters of this programs are names of files with persistence vectors.\n"; + + if ( argc < 3 ) + { + std::cout << "Wrong number of parameters, the program will now terminate \n"; + return 1; + } + + int p = atoi( argv[1] ); + + std::vector< const char* > filenames; + for ( int i = 2 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Vector_distances_in_diagram< euclidean_distance >* > vectors; + vectors.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + //cerr << filenames[file_no] << endl; + Vector_distances_in_diagram< euclidean_distance >* l = new Vector_distances_in_diagram< euclidean_distance >; + l->load_from_file( filenames[file_no] ); + vectors.push_back( l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > distance( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + distance[i] = v; + } + + //and now we can compute the distances: + for ( size_t i = 0 ; i != vectors.size() ; ++i ) + { + for ( size_t j = i+1 ; j != vectors.size() ; ++j ) + { + distance[i][j] = distance[j][i] = ((Vector_distances_in_diagram< euclidean_distance >*)vectors[i])->distance( vectors[j] , p ) ; + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "distance" ); + for ( size_t i = 0 ; i != distance.size() ; ++i ) + { + for ( size_t j = 0 ; j != distance.size() ; ++j ) + { + cout << distance[i][j] << " "; + out << distance[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + return 0; +} + + + + + + + diff --git a/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp new file mode 100644 index 00000000..5bea2765 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp @@ -0,0 +1,97 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program compute scalar product of persistence vectors stored in a file (the file needs to be created beforehand). \n"; + std::cout << "The parameters of this programs are names of files with persistence vectors.\n"; + + std::vector< const char* > filenames; + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + std::vector< Vector_distances_in_diagram< euclidean_distance >* > vectors; + vectors.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + Vector_distances_in_diagram< euclidean_distance >* l = new Vector_distances_in_diagram< euclidean_distance >; + l->load_from_file( filenames[file_no] ); + vectors.push_back( l ); + } + + //and now we will compute the scalar product of landscapes. + + //first we prepare an array: + std::vector< std::vector< double > > scalar_product( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< double > v( filenames.size() , 0 ); + scalar_product[i] = v; + } + + //and now we can compute the scalar product: + for ( size_t i = 0 ; i != vectors.size() ; ++i ) + { + for ( size_t j = i ; j != vectors.size() ; ++j ) + { + scalar_product[i][j] = scalar_product[j][i] = ((Vector_distances_in_diagram< euclidean_distance >*)vectors[i])->compute_scalar_product( vectors[j] ) ; + } + } + + //and now output the result to the screen and a file: + ofstream out; + out.open( "scalar_product" ); + for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) + { + for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) + { + cout << scalar_product[i][j] << " "; + out << scalar_product[i][j] << " "; + } + cout << endl; + out << endl; + } + out.close(); + + //cleaning up + for ( size_t i = 0 ; i != vectors.size() ; ++i ) + { + delete vectors[i]; + } + + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp new file mode 100644 index 00000000..8e309b11 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp @@ -0,0 +1,57 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program creates persistence vectors of diagrams provided as an input. Please call this program with the names of files with persistence diagrams \n"; + std::vector< const char* > filenames; + for ( int i = 1 ; i < argc ; ++i ) + { + filenames.push_back( argv[i] ); + } + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::cerr << "Creatign persistence vectors based on a file : " << filenames[i] << std::endl; + Vector_distances_in_diagram< euclidean_distance > l( filenames[i] , -1 ); + std::stringstream ss; + ss << filenames[i] << ".vect"; + l.print_to_file( ss.str().c_str() ); + } + std::cout << "Done \n"; + return 0; +} + diff --git a/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp new file mode 100644 index 00000000..53f53654 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp @@ -0,0 +1,51 @@ +/* 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 + + + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +#include +#include + + +int main( int argc , char** argv ) +{ + std::cout << "This program create a Gnuplot script to plot persistence vector. Please call this program with the name of file with persistence vector. \n"; + if ( argc != 2 ) + { + std::cout << "Wrong number of parameters, the program will now terminate. \n"; + return 1; + } + Vector_distances_in_diagram< euclidean_distance > l; + l.load_from_file( argv[1] ); + l.plot( argv[1] ); + + return 0; +} + -- cgit v1.2.3 From 6775c536373f8288021cb20854cd06d40edf8f82 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Tue, 11 Oct 2016 10:38:55 +0000 Subject: adding better examples in /example folder. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1691 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 78b3c03fdc58cebe5bfae75bf624ab982702d7dc --- src/Gudhi_stat/example/persistence_heat_maps.cpp | 78 ++++++++++++++++------ src/Gudhi_stat/example/persistence_landscape.cpp | 72 ++++++++++++++++++-- .../example/persistence_landscape_on_grid.cpp | 67 +++++++++++++++++-- src/Gudhi_stat/example/vector_representation.cpp | 56 ++++++++++++++-- 4 files changed, 233 insertions(+), 40 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/persistence_heat_maps.cpp b/src/Gudhi_stat/example/persistence_heat_maps.cpp index e336ab44..7f5580da 100644 --- a/src/Gudhi_stat/example/persistence_heat_maps.cpp +++ b/src/Gudhi_stat/example/persistence_heat_maps.cpp @@ -27,6 +27,7 @@ #include #include +#include @@ -40,13 +41,62 @@ using namespace std; int main( int argc , char** argv ) -{ - //if ( argc != 2 ) - //{ - // cout << "To run this program, please provide the name of a file with persistence diagram \n"; - // return 1; - //} +{ + //create two simple vectors with birth--death pairs: + + std::vector< std::pair< double , double > > persistence1; + std::vector< std::pair< double , double > > persistence2; + + persistence1.push_back( std::make_pair(1,2) ); + persistence1.push_back( std::make_pair(6,8) ); + persistence1.push_back( std::make_pair(0,4) ); + persistence1.push_back( std::make_pair(3,8) ); + + persistence2.push_back( std::make_pair(2,9) ); + persistence2.push_back( std::make_pair(1,6) ); + persistence2.push_back( std::make_pair(3,5) ); + persistence2.push_back( std::make_pair(6,10) ); + + //over here we define a function we sill put on a top on every birth--death pair in the persistence interval. It can be anything. Over here we will use standarg Gaussian + std::vector< std::vector > filter = create_Gaussian_filter(5,1); + + //creating two heat maps. + Persistence_heat_maps hm1( persistence1 , filter , constant_function, false , 20 , 0 , 11 ); + Persistence_heat_maps hm2( persistence2 , filter , constant_function, false , 20 , 0 , 11 ); + + std::vector vector_of_maps; + vector_of_maps.push_back( &hm1 ); + vector_of_maps.push_back( &hm2 ); + + //compute median/mean of a vector of heat maps: + Persistence_heat_maps mean; + mean.compute_mean( vector_of_maps ); + Persistence_heat_maps median; + median.compute_median( vector_of_maps ); + + //to compute L^1 disance between hm1 and hm2: + std::cout << "The L^1 distance is : " << hm1.distance( (Abs_Topological_data_with_distances*)(&hm2) , 1 ) << std::endl; + + //to average of hm1 and hm2: + std::vector< Abs_Topological_data_with_averages* > to_average; + to_average.push_back( (Abs_Topological_data_with_averages*)(&hm1) ); + to_average.push_back( (Abs_Topological_data_with_averages*)(&hm2) ); + Persistence_heat_maps av; + av.compute_average( to_average ); + //to compute scalar product of hm1 and hm2: + std::cout << "Scalar product is : " << hm1.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)(&hm2) ) << std::endl; + + return 0; +} + + + + + + + +//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) ); @@ -166,7 +216,7 @@ int main( int argc , char** argv ) */ - +/* 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 ); @@ -181,16 +231,4 @@ int main( int argc , char** argv ) percentage_of_active.print_to_file( "template_percentage_of_active_of_heat_maps" ); //percentage_of_active.plot( "template_percentage_of_active_of_heat_maps" ); - - - - - return 0; -} - - - - - - - +*/ diff --git a/src/Gudhi_stat/example/persistence_landscape.cpp b/src/Gudhi_stat/example/persistence_landscape.cpp index 3204148b..f5110153 100644 --- a/src/Gudhi_stat/example/persistence_landscape.cpp +++ b/src/Gudhi_stat/example/persistence_landscape.cpp @@ -34,9 +34,70 @@ using namespace Gudhi::Gudhi_stat; int main( int argc , char** argv ) -{ - - if ( argc != 2 ) +{ + //create two simple vectors with birth--death pairs: + + std::vector< std::pair< double , double > > persistence1; + std::vector< std::pair< double , double > > persistence2; + + persistence1.push_back( std::make_pair(1,2) ); + persistence1.push_back( std::make_pair(6,8) ); + persistence1.push_back( std::make_pair(0,4) ); + persistence1.push_back( std::make_pair(3,8) ); + + persistence2.push_back( std::make_pair(2,9) ); + persistence2.push_back( std::make_pair(1,6) ); + persistence2.push_back( std::make_pair(3,5) ); + persistence2.push_back( std::make_pair(6,10) ); + + //create two persistence landscapes based on persistence1 and persistence2: + Persistence_landscape l1( persistence1 ); + Persistence_landscape l2( persistence2 ); + + //This is how to compute integral of landscapes: + std::cout << "Integral of the first landscape : " << l1.compute_integral_of_landscape() << endl; + std::cout << "Integral of the second landscape : " << l2.compute_integral_of_landscape() << endl; + + //And here how to write landscapes to stream: + std::cout << "l1 : " << l1 << std::endl; + std::cout << "l2 : " << l2 << std::endl; + + //Arythmetic operations on landscapes: + Persistence_landscape sum = l1+l2; + std::cout << "sum : " << sum << std::endl; + + //here are the maxima of the functions: + std::cout << "Maximum of l1 : " << l1.compute_maximum() << std::endl; + std::cout << "Maximum of l2 : " << l2.compute_maximum() << std::endl; + + //here are the norms of landscapes: + std::cout << "L^1 Norm of l1 : " << l1.compute_norm_of_landscape( 1. ) << std::endl; + std::cout << "L^1 Norm of l2 : " << l2.compute_norm_of_landscape( 1. ) << std::endl; + + //here is the average of landscapes: + Persistence_landscape average; + std::vector< Abs_Topological_data_with_averages* > to_average; + to_average.push_back( (Abs_Topological_data_with_averages*)(&l1) ); + to_average.push_back( (Abs_Topological_data_with_averages*)(&l2) ); + average.compute_average( to_average ); + std::cout << "average : " << average << std::endl; + + //here is the distance of landscapes: + std::cout << "Distance : " << l1.distance( (Abs_Topological_data_with_distances*)(&l2) ) << std::endl; + + //here is the scalar product of landscapes: + std::cout << "Scalar product : " << l1.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)(&l2) ) << std::endl; + + //here is how to create a file which is suitable for vizualization via gnuplot: + average.plot( "average_landscape" ); + + return 0; +} + + +//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; @@ -161,7 +222,4 @@ int main( int argc , char** argv ) Persistence_landscape q( "../test/data/file_with_diagram_1" ); cout << "Scalar product : " << p.compute_scalar_product( &q ) << endl; } - - - return 0; -} +*/ diff --git a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp index e1a0ba5d..ddda78d2 100644 --- a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp +++ b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp @@ -35,7 +35,65 @@ using namespace Gudhi::Gudhi_stat; int main( int argc , char** argv ) { - /* + //create two simple vectors with birth--death pairs: + + std::vector< std::pair< double , double > > persistence1; + std::vector< std::pair< double , double > > persistence2; + + persistence1.push_back( std::make_pair(1,2) ); + persistence1.push_back( std::make_pair(6,8) ); + persistence1.push_back( std::make_pair(0,4) ); + persistence1.push_back( std::make_pair(3,8) ); + + persistence2.push_back( std::make_pair(2,9) ); + persistence2.push_back( std::make_pair(1,6) ); + persistence2.push_back( std::make_pair(3,5) ); + persistence2.push_back( std::make_pair(6,10) ); + + //create two persistence landscapes based on persistence1 and persistence2: + Persistence_landscape_on_grid l1( persistence1 , 0 , 11 , 20 ); + Persistence_landscape_on_grid l2( persistence2 , 0 , 11 , 20 ); + + //This is how to compute integral of landscapes: + std::cout << "Integral of the first landscape : " << l1.compute_integral_of_landscape() << endl; + std::cout << "Integral of the second landscape : " << l2.compute_integral_of_landscape() << endl; + + //And here how to write landscapes to stream: + std::cout << "l1 : " << l1 << std::endl; + std::cout << "l2 : " << l2 << std::endl; + + //here are the maxima of the functions: + std::cout << "Maximum of l1 : " << l1.compute_maximum() << std::endl; + std::cout << "Maximum of l2 : " << l2.compute_maximum() << std::endl; + + //here are the norms of landscapes: + std::cout << "L^1 Norm of l1 : " << l1.compute_norm_of_landscape( 1. ) << std::endl; + std::cout << "L^1 Norm of l2 : " << l2.compute_norm_of_landscape( 1. ) << std::endl; + + //here is the average of landscapes: + Persistence_landscape_on_grid average; + std::vector< Abs_Topological_data_with_averages* > to_average; + to_average.push_back( (Abs_Topological_data_with_averages*)(&l1) ); + to_average.push_back( (Abs_Topological_data_with_averages*)(&l2) ); + average.compute_average( to_average ); + std::cout << "average : " << average << std::endl; + + //here is the distance of landscapes: + std::cout << "Distance : " << l1.distance( (Abs_Topological_data_with_distances*)(&l2) ) << std::endl; + + //here is the scalar product of landscapes: + std::cout << "Scalar product : " << l1.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)(&l2) ) << std::endl; + + //here is how to create a file which is suitable for vizualization via gnuplot: + average.plot( "average_landscape" ); + + + return 0; +} + + +//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" ); @@ -132,7 +190,7 @@ int main( int argc , char** argv ) cerr << p.distance( &q , -1 ) << endl; */ - +/* Persistence_landscape_on_grid p( "file_with_diagram", 0,1,10000 ); Persistence_landscape_on_grid q( "file_with_diagram_1", 0,1,10000 ); @@ -141,7 +199,4 @@ int main( int argc , char** argv ) //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; - - - return 0; -} +*/ diff --git a/src/Gudhi_stat/example/vector_representation.cpp b/src/Gudhi_stat/example/vector_representation.cpp index 0581baf4..773c60fa 100644 --- a/src/Gudhi_stat/example/vector_representation.cpp +++ b/src/Gudhi_stat/example/vector_representation.cpp @@ -37,13 +37,58 @@ using namespace Gudhi::Gudhi_stat; using namespace std; -double epsilon = 0.000005; - int main( int argc , char** argv ) { - if ( argc < 2 ) + //create two simple vectors with birth--death pairs: + + std::vector< std::pair< double , double > > persistence1; + std::vector< std::pair< double , double > > persistence2; + + persistence1.push_back( std::make_pair(1,2) ); + persistence1.push_back( std::make_pair(6,8) ); + persistence1.push_back( std::make_pair(0,4) ); + persistence1.push_back( std::make_pair(3,8) ); + + persistence2.push_back( std::make_pair(2,9) ); + persistence2.push_back( std::make_pair(1,6) ); + persistence2.push_back( std::make_pair(3,5) ); + persistence2.push_back( std::make_pair(6,10) ); + + //create two persistence vectors based on persistence1 and persistence2: + Vector_distances_in_diagram > v1 = Vector_distances_in_diagram >( persistence1 , std::numeric_limits::max() ); + Vector_distances_in_diagram > v2 = Vector_distances_in_diagram >( persistence2 , std::numeric_limits::max() ); + + //writing to a stream: + std::cout << "v1 : " << v1 << std::endl; + std::cout << "v2 : " << v2 << std::endl; + + //averages: + Vector_distances_in_diagram > average; + std::vector< Abs_Topological_data_with_averages* > to_average; + to_average.push_back( (Abs_Topological_data_with_averages*)(&v1) ); + to_average.push_back( (Abs_Topological_data_with_averages*)(&v2) ); + average.compute_average( to_average ); + std::cout << "Average : " << average << std::endl; + + //computations of distances: + std::cout << "l^1 distance : " << v1.distance( (Abs_Topological_data_with_distances*)(&v2) ) << std::endl; + + //computations of scalar product: + std::cout << "Scalar product of l1 and l2 : " << v1.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)(&v2) ) << std::endl; + + //create a file with a gnuplot script: + v1.plot( "plot_of_vector_representation" ); + + return 0; +} + + + + +/* + if ( argc < 2 ) { cout << "To run this program, please provide the name of a file with persistence diagram. If you provide two files, we will do distance, scalar produc and average computations \n"; return 1; @@ -71,7 +116,4 @@ int main( int argc , char** argv ) cout << "Here is an average : " << average << endl; } - return 0; -} - - +*/ -- cgit v1.2.3 From 19451e20b6d47b6a84d5ad89d99497e0e60cd377 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Fri, 21 Oct 2016 12:26:22 +0000 Subject: The library changed from inherritance to templates. Are the files from include/abstract removed? git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1741 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 6f768b08a7a900a56278adcf371a31840916d3ba --- .../concept/Real_valued_topological_data.h | 38 ++++ .../concept/Topological_data_with_averages.h | 35 ++++ .../concept/Topological_data_with_distances.h | 31 +++ .../concept/Topological_data_with_scalar_product.h | 31 +++ .../concept/Vectorized_topological_data.h | 39 ++++ src/Gudhi_stat/example/persistence_heat_maps.cpp | 10 +- src/Gudhi_stat/example/persistence_landscape.cpp | 10 +- .../example/persistence_landscape_on_grid.cpp | 10 +- src/Gudhi_stat/example/vector_representation.cpp | 10 +- .../gudhi/concretizations/Persistence_heat_maps.h | 101 +++++---- .../gudhi/concretizations/Persistence_intervals.h | 163 +++++++++------ .../gudhi/concretizations/Persistence_landscape.h | 127 +++++++++--- .../Persistence_landscape_on_grid.h | 230 ++++++++++++++------- .../concretizations/Vector_distances_in_diagram.h | 139 +++++++------ .../concretizations/read_persitence_from_file.h | 5 +- src/Gudhi_stat/include/gudhi/permutation_test.h | 80 +++++++ src/Gudhi_stat/include/gudhi/topological_process.h | 101 +++++++++ src/Gudhi_stat/test/persistence_heat_maps_test.cpp | 84 ++++---- .../test/persistence_lanscapes_on_grid_test.cpp | 12 +- src/Gudhi_stat/test/persistence_lanscapes_test.cpp | 10 +- src/Gudhi_stat/test/vector_representation_test.cpp | 8 +- src/Gudhi_stat/utilities/CMakeLists.txt | 4 +- src/Gudhi_stat/utilities/permutation_test.cpp | 84 ++++++++ .../average_persistence_heat_maps.cpp | 5 +- .../compute_distance_of_persistence_heat_maps.cpp | 12 +- ...ute_scalar_product_of_persistence_heat_maps.cpp | 10 +- .../create_persistence_heat_maps.cpp | 1 - ...aps_weighted_by_arctan_of_their_persistence.cpp | 1 - ...eat_maps_weighted_by_distance_from_diagonal.cpp | 2 - ..._weighted_by_squared_distance_from_diagonal.cpp | 2 - .../persistence_heat_maps/create_pssk.cpp | 3 - .../plot_persistence_heat_map.cpp | 2 - ...te_birth_death_range_in_persistence_diagram.cpp | 1 - .../compute_number_of_dominant_intervals.cpp | 1 - .../plot_histogram_of_intervals_lengths.cpp | 1 - .../plot_persistence_Betti_numebrs.cpp | 1 - .../plot_persistence_intervals.cpp | 1 - .../persistence_landscapes/average_landscapes.cpp | 5 +- .../compute_distance_of_landscapes.cpp | 3 - .../compute_scalar_product_of_landscapes.cpp | 3 - .../persistence_landscapes/create_landscapes.cpp | 3 - .../persistence_landscapes/plot_landscapes.cpp | 3 - .../average_landscapes_on_grid.cpp | 7 +- .../compute_distance_of_landscapes_on_grid.cpp | 3 - ...ompute_scalar_product_of_landscapes_on_grid.cpp | 2 - .../create_landscapes_on_grid.cpp | 3 - .../plot_landscapes_on_grid.cpp | 3 - .../average_persistence_vectors.cpp | 6 +- .../compute_distance_of_persistence_vectors.cpp | 11 +- ...mpute_scalar_product_of_persistence_vectors.cpp | 20 +- .../create_persistence_vectors.cpp | 3 - .../plot_persistence_vectors.cpp | 3 - 52 files changed, 1047 insertions(+), 436 deletions(-) create mode 100644 src/Gudhi_stat/concept/Real_valued_topological_data.h create mode 100644 src/Gudhi_stat/concept/Topological_data_with_averages.h create mode 100644 src/Gudhi_stat/concept/Topological_data_with_distances.h create mode 100644 src/Gudhi_stat/concept/Topological_data_with_scalar_product.h create mode 100644 src/Gudhi_stat/concept/Vectorized_topological_data.h create mode 100644 src/Gudhi_stat/include/gudhi/permutation_test.h create mode 100644 src/Gudhi_stat/include/gudhi/topological_process.h create mode 100644 src/Gudhi_stat/utilities/permutation_test.cpp (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/concept/Real_valued_topological_data.h b/src/Gudhi_stat/concept/Real_valued_topological_data.h new file mode 100644 index 00000000..ead22bf4 --- /dev/null +++ b/src/Gudhi_stat/concept/Real_valued_topological_data.h @@ -0,0 +1,38 @@ +/* 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 . + */ + +/** \brief The concept Real_valued_topological_data describes the requirements + * for a type to implement a container that allows computations of its projections to R. + */ +class Real_valued_topological_data +{ +public: + /** + * Typically there are various ways data can be projected to R. This function give us the number of functions for vectorization provided by a given class. + **/ + size_t number_of_projections_to_R(); + /** + * This is a function to compute the projection from this container to reals. The parameter of a function have to be between 0 and the value returned by number_of_projections_to_R(). + **/ + double project_to_R; +}; + diff --git a/src/Gudhi_stat/concept/Topological_data_with_averages.h b/src/Gudhi_stat/concept/Topological_data_with_averages.h new file mode 100644 index 00000000..67433860 --- /dev/null +++ b/src/Gudhi_stat/concept/Topological_data_with_averages.h @@ -0,0 +1,35 @@ + +/* 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 . + */ + + + +/** \brief The concept Topological_data_with_averages describes the requirements + * for a type to implement a container that allows computations of averages. + */ +class Topological_data_with_averages +{ +public: + void compute_average( const std::vector< Topological_data_with_averages* >& to_average ); +}; + + diff --git a/src/Gudhi_stat/concept/Topological_data_with_distances.h b/src/Gudhi_stat/concept/Topological_data_with_distances.h new file mode 100644 index 00000000..536ae821 --- /dev/null +++ b/src/Gudhi_stat/concept/Topological_data_with_distances.h @@ -0,0 +1,31 @@ +/* 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 . + */ + +/** \brief The concept Topological_data_with_distances describes the requirements + * for a type to implement a container that allows computations of distance to another contained of that type. + */ +class Topological_data_with_distances +{ +public: + double distance( const Topological_data_with_distances& second , double power = 1); +}; + diff --git a/src/Gudhi_stat/concept/Topological_data_with_scalar_product.h b/src/Gudhi_stat/concept/Topological_data_with_scalar_product.h new file mode 100644 index 00000000..f32271c7 --- /dev/null +++ b/src/Gudhi_stat/concept/Topological_data_with_scalar_product.h @@ -0,0 +1,31 @@ +/* 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 . + */ + + +/** \brief The concept Topological_data_with_scalar_product describes the requirements + * for a type to implement a container that allows computations of scalar products. + */ +class Topological_data_with_scalar_product +{ +public: + double compute_scalar_product( const Topological_data_with_scalar_product& second ); +}; diff --git a/src/Gudhi_stat/concept/Vectorized_topological_data.h b/src/Gudhi_stat/concept/Vectorized_topological_data.h new file mode 100644 index 00000000..2dd966fd --- /dev/null +++ b/src/Gudhi_stat/concept/Vectorized_topological_data.h @@ -0,0 +1,39 @@ +/* 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 . + */ + + +/** \brief The concept Vectorized_topological_data describes the requirements + * for a type to implement a container that allows vectorization. + */ +class Vectorized_topological_data +{ +public: + /** + * There are various ways data can be verctorized. This function give us the number of functions for vectorization provided by a given class. + **/ + size_t number_of_vectorize_functions(); + /** + * This is a function to vectorize given container. The parameter of a function have to be between 0 and the value returned by number_of_vectorize_functions(). + **/ + std::vector vectorize( int number_of_function ); +}; + diff --git a/src/Gudhi_stat/example/persistence_heat_maps.cpp b/src/Gudhi_stat/example/persistence_heat_maps.cpp index 7f5580da..645f63f7 100644 --- a/src/Gudhi_stat/example/persistence_heat_maps.cpp +++ b/src/Gudhi_stat/example/persistence_heat_maps.cpp @@ -75,17 +75,17 @@ int main( int argc , char** argv ) median.compute_median( vector_of_maps ); //to compute L^1 disance between hm1 and hm2: - std::cout << "The L^1 distance is : " << hm1.distance( (Abs_Topological_data_with_distances*)(&hm2) , 1 ) << std::endl; + std::cout << "The L^1 distance is : " << hm1.distance( hm2 , 1 ) << std::endl; //to average of hm1 and hm2: - std::vector< Abs_Topological_data_with_averages* > to_average; - to_average.push_back( (Abs_Topological_data_with_averages*)(&hm1) ); - to_average.push_back( (Abs_Topological_data_with_averages*)(&hm2) ); + std::vector< Persistence_heat_maps* > to_average; + to_average.push_back( &hm1 ); + to_average.push_back( &hm2 ); Persistence_heat_maps av; av.compute_average( to_average ); //to compute scalar product of hm1 and hm2: - std::cout << "Scalar product is : " << hm1.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)(&hm2) ) << std::endl; + std::cout << "Scalar product is : " << hm1.compute_scalar_product( hm2 ) << std::endl; return 0; } diff --git a/src/Gudhi_stat/example/persistence_landscape.cpp b/src/Gudhi_stat/example/persistence_landscape.cpp index f5110153..106864c0 100644 --- a/src/Gudhi_stat/example/persistence_landscape.cpp +++ b/src/Gudhi_stat/example/persistence_landscape.cpp @@ -76,17 +76,17 @@ int main( int argc , char** argv ) //here is the average of landscapes: Persistence_landscape average; - std::vector< Abs_Topological_data_with_averages* > to_average; - to_average.push_back( (Abs_Topological_data_with_averages*)(&l1) ); - to_average.push_back( (Abs_Topological_data_with_averages*)(&l2) ); + std::vector< Persistence_landscape* > to_average; + to_average.push_back( &l1 ); + to_average.push_back( &l2 ); average.compute_average( to_average ); std::cout << "average : " << average << std::endl; //here is the distance of landscapes: - std::cout << "Distance : " << l1.distance( (Abs_Topological_data_with_distances*)(&l2) ) << std::endl; + std::cout << "Distance : " << l1.distance( l2 ) << std::endl; //here is the scalar product of landscapes: - std::cout << "Scalar product : " << l1.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)(&l2) ) << std::endl; + std::cout << "Scalar product : " << l1.compute_scalar_product( l2 ) << std::endl; //here is how to create a file which is suitable for vizualization via gnuplot: average.plot( "average_landscape" ); diff --git a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp index ddda78d2..223c9d50 100644 --- a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp +++ b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp @@ -72,17 +72,17 @@ int main( int argc , char** argv ) //here is the average of landscapes: Persistence_landscape_on_grid average; - std::vector< Abs_Topological_data_with_averages* > to_average; - to_average.push_back( (Abs_Topological_data_with_averages*)(&l1) ); - to_average.push_back( (Abs_Topological_data_with_averages*)(&l2) ); + std::vector< Persistence_landscape_on_grid* > to_average; + to_average.push_back( &l1 ); + to_average.push_back( &l2 ); average.compute_average( to_average ); std::cout << "average : " << average << std::endl; //here is the distance of landscapes: - std::cout << "Distance : " << l1.distance( (Abs_Topological_data_with_distances*)(&l2) ) << std::endl; + std::cout << "Distance : " << l1.distance( l2 ) << std::endl; //here is the scalar product of landscapes: - std::cout << "Scalar product : " << l1.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)(&l2) ) << std::endl; + std::cout << "Scalar product : " << l1.compute_scalar_product( l2 ) << std::endl; //here is how to create a file which is suitable for vizualization via gnuplot: average.plot( "average_landscape" ); diff --git a/src/Gudhi_stat/example/vector_representation.cpp b/src/Gudhi_stat/example/vector_representation.cpp index 773c60fa..835b52f9 100644 --- a/src/Gudhi_stat/example/vector_representation.cpp +++ b/src/Gudhi_stat/example/vector_representation.cpp @@ -66,17 +66,17 @@ int main( int argc , char** argv ) //averages: Vector_distances_in_diagram > average; - std::vector< Abs_Topological_data_with_averages* > to_average; - to_average.push_back( (Abs_Topological_data_with_averages*)(&v1) ); - to_average.push_back( (Abs_Topological_data_with_averages*)(&v2) ); + std::vector< Vector_distances_in_diagram >* > to_average; + to_average.push_back( &v1 ); + to_average.push_back( &v2 ); average.compute_average( to_average ); std::cout << "Average : " << average << std::endl; //computations of distances: - std::cout << "l^1 distance : " << v1.distance( (Abs_Topological_data_with_distances*)(&v2) ) << std::endl; + std::cout << "l^1 distance : " << v1.distance( v2 ) << std::endl; //computations of scalar product: - std::cout << "Scalar product of l1 and l2 : " << v1.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)(&v2) ) << std::endl; + std::cout << "Scalar product of l1 and l2 : " << v1.compute_scalar_product( v2 ) << std::endl; //create a file with a gnuplot script: v1.plot( "plot_of_vector_representation" ); diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h index e9175af9..d2c1bfc9 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h @@ -33,11 +33,6 @@ #include //gudhi include -#include -#include -#include -#include -#include #include #include @@ -161,13 +156,10 @@ private: }; - -class Persistence_heat_maps : - public Abs_Vectorized_topological_data , - public Abs_Topological_data_with_distances , - public Abs_Real_valued_topological_data, - public Abs_Topological_data_with_averages, - public Abs_Topological_data_with_scalar_product +/** + * This class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product +**/ +class Persistence_heat_maps { public: /** @@ -321,16 +313,59 @@ public: void plot( const char* filename ); - //Concretizations of virtual methods: - std::vector vectorize( int number_of_function ); - double distance( const Abs_Topological_data_with_distances* second_ , double power = 1); + //Implementations of functions for various concepts. + + /** + * This function produce a vector of doubles based on a persisence heat map. It is required in a concept Vectorized_topological_data + */ + std::vector vectorize( int number_of_function ); + /** + * This function return the number of functions that allows vectorization of persistence heat map. It is required in a concept Vectorized_topological_data. + **/ + size_t number_of_vectorize_functions() + { + return this->number_of_functions_for_vectorization; + } + + /** + * This function is required by the Real_valued_topological_data concept. It returns various projections od the persistence heat map to a real line. + **/ double project_to_R( int number_of_function ); - void compute_average( const std::vector< Abs_Topological_data_with_averages* >& to_average ); - double compute_scalar_product( const Abs_Topological_data_with_scalar_product* second_ ); + /** + * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. + **/ + size_t number_of_projections_to_R() + { + return this->number_of_functions_for_projections_to_reals; + } + + /** + * A function to compute distance between persistence heat maps. + * The parameter of this function is a const reference to an object of a class Persistence_heat_maps. + * This function is required in Topological_data_with_distances concept. + **/ + double distance( const Persistence_heat_maps& second_ , double power = 1); + + /** + * A function to compute averaged persistence heat map, based on vector of persistence heat maps. + * This function is required by Topological_data_with_averages concept. + **/ + void compute_average( const std::vector< Persistence_heat_maps* >& to_average ); + + /** + * A function to compute scalar product of persistence heat maps. + * The parameter of this functionis a const reference to an object of a class Persistence_heat_maps. + * This function is required in Topological_data_with_scalar_product concept. + **/ + double compute_scalar_product( const Persistence_heat_maps& second_ ); + + //end of implementation of functions needed for concepts. protected: //private methods std::vector< std::vector > check_and_initialize_maps( const std::vector& maps ); + size_t number_of_functions_for_vectorization; + size_t number_of_functions_for_projections_to_reals; void construct( const std::vector< std::pair >& intervals_ , std::vector< std::vector > filter = create_Gaussian_filter(5,1), double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ) = constant_function, @@ -717,12 +752,10 @@ std::vector Persistence_heat_maps::vectorize( int number_of_function ) return result; } -double Persistence_heat_maps::distance( const Abs_Topological_data_with_distances* second_ , double power ) -{ - Persistence_heat_maps* second = (Persistence_heat_maps*)second_; - +double Persistence_heat_maps::distance( const Persistence_heat_maps& second , double power ) +{ //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: - if ( !this->check_if_the_same(*second) ) + if ( !this->check_if_the_same(second) ) { std::cerr << "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; throw "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; @@ -735,7 +768,7 @@ double Persistence_heat_maps::distance( const Abs_Topological_data_with_distance { for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) { - distance += pow( abs(this->heat_map[i][j] - second->heat_map[i][j]) , power ); + distance += pow( abs(this->heat_map[i][j] - second.heat_map[i][j]) , power ); } } return distance; @@ -754,23 +787,15 @@ double Persistence_heat_maps::project_to_R( int number_of_function ) return result; } -void Persistence_heat_maps::compute_average( const std::vector< Abs_Topological_data_with_averages* >& to_average ) -{ - std::vector maps; - maps.reserve( to_average.size() ); - for ( size_t i = 0 ; i != to_average.size() ; ++i ) - { - maps.push_back( (Persistence_heat_maps*)to_average[i] ); - } - this->compute_mean( maps ); +void Persistence_heat_maps::compute_average( const std::vector< Persistence_heat_maps* >& to_average ) +{ + this->compute_mean( to_average ); } -double Persistence_heat_maps::compute_scalar_product( const Abs_Topological_data_with_scalar_product* second_ ) -{ - Persistence_heat_maps* second = (Persistence_heat_maps*)second_; - +double Persistence_heat_maps::compute_scalar_product( const Persistence_heat_maps& second ) +{ //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: - if ( !this->check_if_the_same(*second) ) + if ( !this->check_if_the_same(second) ) { std::cerr << "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; throw "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; @@ -782,7 +807,7 @@ double Persistence_heat_maps::compute_scalar_product( const Abs_Topological_data { for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) { - scalar_prod += this->heat_map[i][j]*second->heat_map[i][j]; + scalar_prod += this->heat_map[i][j]*second.heat_map[i][j]; } } return scalar_prod; diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h index f694541b..5d21ba97 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h @@ -24,9 +24,6 @@ #define Persistence_intervals_H_ //gudhi include -#include -#include -#include #include //standard include @@ -43,7 +40,10 @@ namespace Gudhi namespace Gudhi_stat { -class Persistence_intervals : public Abs_Vectorized_topological_data , public Abs_Topological_data_with_distances, public Abs_Real_valued_topological_data +/** + * This class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data +**/ +class Persistence_intervals { public: /** @@ -114,11 +114,11 @@ public: /** * Operator that send the diagram to a stream. **/ - friend ostream& operator << ( ostream& out , const Persistence_intervals& intervals ) + friend std::ostream& operator << ( std::ostream& out , const Persistence_intervals& intervals ) { for ( size_t i = 0 ; i != intervals.intervals.size() ; ++i ) { - out << intervals.intervals[i].first << " " << intervals.intervals[i].second << endl; + out << intervals.intervals[i].first << " " << intervals.intervals[i].second << std::endl; } return out; } @@ -129,38 +129,30 @@ public: void plot( const char* filename ) { //this program create a gnuplot script file that allows to plot persistence diagram. - ofstream out; + std::ofstream out; std::ostringstream nameSS; nameSS << filename << "_GnuplotScript"; std::string nameStr = nameSS.str(); out.open( (char*)nameStr.c_str() ); std::pair min_max_values = this->min_max(); - out << "set xrange [" << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " : " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " ]" << endl; - out << "set yrange [" << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " : " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " ]" << endl; - out << "plot '-' using 1:2 notitle \"" << filename << "\", \\" << endl; - out << " '-' using 1:2 notitle with lp" << endl; + out << "set xrange [" << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " : " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " ]" << std::endl; + out << "set yrange [" << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " : " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " ]" << std::endl; + out << "plot '-' using 1:2 notitle \"" << filename << "\", \\" << std::endl; + out << " '-' using 1:2 notitle with lp" << std::endl; for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) { - out << this->intervals[i].first << " " << this->intervals[i].second << endl; + out << this->intervals[i].first << " " << this->intervals[i].second << std::endl; } - out << "EOF" << endl; - out << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " " << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << endl; - out << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << endl; + out << "EOF" << std::endl; + out << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " " << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << std::endl; + out << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << std::endl; out.close(); - cout << "Gnuplot script to visualize persistence diagram written to the file: " << nameStr << ". Type load '" << nameStr << "' in gnuplot to visualize." << endl; + std::cout << "Gnuplot script to visualize persistence diagram written to the file: " << nameStr << ". Type load '" << nameStr << "' in gnuplot to visualize." << std::endl; } - /** - * Return a familly of vectors obtained from the persistence diagram. The i-th vector consist of the lenfth of i dominant persistence intervals. - **/ - std::vector vectorize( int number_of_function )//comment: in this case, number_of_functions (a static member of Abs_Vectorized_topological_data cannot be set a priori. - //In this cas, maybe it is better not to make this parameter static. - { - return this->length_of_dominant_intervals( number_of_function ); - } /** * Retun numbr of points in the diagram. @@ -176,22 +168,71 @@ public: return this->intervals[i]; } + + + + + + + + + + + + + + + //Implementations of functions for various concepts. + /** + * This is a simple function projectig the persistence intervals to a real number. The function we use here is a sum of squared lendgths of intervals. It can be naturally interpreted as + * sum of step function, where the step hight it equal to the length of the interval. + **/ + double project_to_R( int number_of_function ); + /** + * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. + **/ + size_t number_of_projections_to_R() + { + return this->number_of_functions_for_projections_to_reals; + } + + /** + * Return a familly of vectors obtained from the persistence diagram. The i-th vector consist of the lenfth of i dominant persistence intervals. + **/ + std::vector vectorize( int number_of_function ) + { + return this->length_of_dominant_intervals( number_of_function ); + } + /** + * This function return the number of functions that allows vectorization of a persisence diagram. It is required in a concept Vectorized_topological_data. + **/ + size_t number_of_vectorize_functions() + { + return this->number_of_functions_for_vectorization; + } + /** *Computations of distance from the current persistnce diagram to the persistence diagram given as a parameter of this function. *The last parameter, power, is here in case we would like to compute p=th Wasserstein distance. At the moment, for the bottleneck distances, it will be ignored. **/ - double distance( const Abs_Topological_data_with_distances* second , double power = 1) + double distance( const Persistence_intervals& second , double power = 1) { return 1; //waiting for Francois Godi for the code. We will compute here the Bottleneck distnace. } + //end of implementation of functions needed for concepts. - /** - * This is a simple function projectig the persistence intervals to a real number. The function we use here is a sum of squared lendgths of intervals. It can be naturally interpreted as - * sum of step function, where the step hight it equal to the length of the interval. - **/ - double project_to_R( int number_of_function ); - + + + + + + + + + + + //For visualization use output from vectorize and build histograms. std::vector< std::pair< double,double > > output_for_visualization() @@ -208,7 +249,9 @@ protected: this->number_of_functions_for_projections_to_reals = 1; } - std::vector< std::pair< double,double > > intervals; + std::vector< std::pair< double,double > > intervals; + size_t number_of_functions_for_vectorization; + size_t number_of_functions_for_projections_to_reals; }; @@ -240,7 +283,7 @@ Persistence_intervals::Persistence_intervals( const char* filename ) // this->intervals.push_back( std::make_pair( first,second ) ); // if ( dbg ) // { - // cerr << "Adding interval [ " << first << " , " << second << " ]\n"; + // std::cerr << "Adding interval [ " << first << " , " << second << " ]\n"; // getchar(); // } //} @@ -303,7 +346,7 @@ std::vector< std::pair > Persistence_intervals::dominant_interval for ( size_t i = 0 ; i != std::min( where_to_cut , position_length_vector.size() ) ; ++i ) { result.push_back( this->intervals[ position_length_vector[i].first ] ); - if ( dbg )cerr << "Position : " << position_length_vector[i].first << " length : " << position_length_vector[i].second << endl; + if ( dbg )std::cerr << "Position : " << position_length_vector[i].first << " length : " << position_length_vector[i].second << std::endl; } return result; @@ -314,7 +357,7 @@ std::vector< size_t > Persistence_intervals::histograms_of_lengths( size_t numbe { bool dbg = false; - if ( dbg )cerr << "this->intervals.size() : " << this->intervals.size() << endl; + if ( dbg )std::cerr << "this->intervals.size() : " << this->intervals.size() << std::endl; //first find the length of the longest interval: double lengthOfLongest = 0; for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) @@ -325,7 +368,7 @@ std::vector< size_t > Persistence_intervals::histograms_of_lengths( size_t numbe } } - if ( dbg ){cerr << "lengthOfLongest : " << lengthOfLongest << endl;} + if ( dbg ){std::cerr << "lengthOfLongest : " << lengthOfLongest << std::endl;} //this is a container we will use to store the resulting histogram std::vector< size_t > result( number_of_bins + 1 , 0 ); @@ -344,16 +387,16 @@ std::vector< size_t > Persistence_intervals::histograms_of_lengths( size_t numbe if ( dbg ) { - cerr << "i : " << i << endl; - cerr << "Interval : [" << this->intervals[i].first << " , " << this->intervals[i].second << " ] \n"; - cerr << "relative_length_of_this_interval : " << relative_length_of_this_interval << endl; - cerr << "position : " << position << endl; + std::cerr << "i : " << i << std::endl; + std::cerr << "Interval : [" << this->intervals[i].first << " , " << this->intervals[i].second << " ] \n"; + std::cerr << "relative_length_of_this_interval : " << relative_length_of_this_interval << std::endl; + std::cerr << "position : " << position << std::endl; getchar(); } } - if ( dbg ){for ( size_t i = 0 ; i != result.size() ; ++i )cerr << result[i] << endl;} + if ( dbg ){for ( size_t i = 0 ; i != result.size() ; ++i )std::cerr << result[i] << std::endl;} return result; } @@ -384,7 +427,7 @@ std::vector< double > Persistence_intervals::characteristic_function_of_diagram( { if ( dbg ) { - cerr << "Interval : " << this->intervals[i].first << " , " << this->intervals[i].second << endl; + std::cerr << "Interval : " << this->intervals[i].first << " , " << this->intervals[i].second << std::endl; } size_t beginIt = 0; @@ -407,8 +450,8 @@ std::vector< double > Persistence_intervals::characteristic_function_of_diagram( if ( dbg ) { - cerr << "beginIt : " << beginIt << endl; - cerr << "endIt : " << endIt << endl; + std::cerr << "beginIt : " << beginIt << std::endl; + std::cerr << "endIt : " << endIt << std::endl; } @@ -419,12 +462,12 @@ std::vector< double > Persistence_intervals::characteristic_function_of_diagram( //cerr << "x_max : " << x_max << " x_min : " << x_min << " , number_of_bins : " << number_of_bins << " this->intervals[i].second : " << this->intervals[i].second << " this->intervals[i].first : " << this->intervals[i].first << endl; if ( dbg ) { - cerr << "Result at this stage \n"; + std::cerr << "Result at this stage \n"; for ( size_t aa = 0 ; aa != result.size() ; ++aa ) { - cerr << result[aa] << " "; + std::cerr << result[aa] << " "; } - cerr << endl; + std::cerr << std::endl; //getchar(); } } @@ -498,10 +541,10 @@ std::vector< double > Persistence_intervals::k_n_n( size_t k , size_t where_to_c bool dbg = false; if ( dbg ) { - cerr << "Here are the intervals : \n"; + std::cerr << "Here are the intervals : \n"; for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) { - cerr << "[ " << this->intervals[i].first << " , " << this->intervals[i].second << "] \n"; + std::cerr << "[ " << this->intervals[i].first << " , " << this->intervals[i].second << "] \n"; } getchar(); } @@ -532,12 +575,12 @@ std::vector< double > Persistence_intervals::k_n_n( size_t k , size_t where_to_c if ( dbg ) { - cerr << "Here are the distances form the point : [" << this->intervals[i].first << " , " << this->intervals[i].second << "] in the diagram \n"; + std::cerr << "Here are the distances form the point : [" << this->intervals[i].first << " , " << this->intervals[i].second << "] in the diagram \n"; for ( size_t aa = 0 ; aa != distancesFromI.size() ; ++aa ) { - cerr << "To : " << i+aa << " : " << distancesFromI[aa] << " "; + std::cerr << "To : " << i+aa << " : " << distancesFromI[aa] << " "; } - cerr << endl; + std::cerr << std::endl; getchar(); } @@ -550,21 +593,21 @@ std::vector< double > Persistence_intervals::k_n_n( size_t k , size_t where_to_c } if ( dbg ) { - cerr << "Here is the distance matrix : \n"; + std::cerr << "Here is the distance matrix : \n"; for ( size_t i = 0 ; i != distances.size() ; ++i ) { for ( size_t j = 0 ; j != distances.size() ; ++j ) { - cerr << distances[i][j] << " "; + std::cerr << distances[i][j] << " "; } - cerr << endl; + std::cerr << std::endl; } - cerr << endl << endl << "And here are the distances to the diagonal : " << endl; + std::cerr << std::endl << std::endl << "And here are the distances to the diagonal : " << std::endl; for ( size_t i = 0 ; i != distances_from_diagonal. size() ; ++i ) { - cerr << distances_from_diagonal[i] << " "; + std::cerr << distances_from_diagonal[i] << " "; } - cerr << endl << endl; + std::cerr << std::endl << std::endl; getchar(); } @@ -580,7 +623,7 @@ std::vector< double > Persistence_intervals::k_n_n( size_t k , size_t where_to_c { if ( dbg ) { - cerr << "There are not enough neighbors in your set. We set the result to plus infty \n"; + std::cerr << "There are not enough neighbors in your set. We set the result to plus infty \n"; } result.push_back( std::numeric_limits::max() ); } @@ -590,7 +633,7 @@ std::vector< double > Persistence_intervals::k_n_n( size_t k , size_t where_to_c { if ( dbg ) { - cerr << "The k-th n.n. is on a diagonal. Therefore we set up a distance to diagonal \n"; + std::cerr << "The k-th n.n. is on a diagonal. Therefore we set up a distance to diagonal \n"; } result.push_back( distances_from_diagonal[i] ); } diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h index aa74514e..b3caaedc 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h @@ -36,11 +36,6 @@ //gudhi include -#include -#include -#include -#include -#include #include #include using namespace std; @@ -62,13 +57,9 @@ namespace Gudhi_stat * A clas implementing persistence landascpes data structures. For theroretical desciritpion, please consult a paper ''Statistical topological data analysis using persistence landscapes'' by Peter Bubenik. * For details of algorithms, please consult ''A persistence landscapes toolbox for topological statistics'' by Peter Bubenik and Pawel Dlotko. * Persistence landscapes allow vertorization, computations of distances, computations of projections to Real, computations of averages and scalar products. Therefore they implement suitable interfaces. + * It implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product **/ -class Persistence_landscape : - public Abs_Vectorized_topological_data , - public Abs_Topological_data_with_distances, - public Abs_Real_valued_topological_data, - public Abs_Topological_data_with_averages, - public Abs_Topological_data_with_scalar_product +class Persistence_landscape { public: /** @@ -326,16 +317,39 @@ public: - //concretization of abstract functions: + + + + + + + + + + + + //Implementations of functions for various concepts. /** * The number of projections to R is defined to the number of nonzero landscape functions. I-th projection is an integral of i-th landscape function over whole R. + * This function is required by the Real_valued_topological_data concept. **/ double project_to_R( int number_of_function ) { return this->compute_integral_of_landscape( (size_t)number_of_function ); } + + /** + * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. + **/ + size_t number_of_projections_to_R() + { + return this->number_of_functions_for_projections_to_reals; + } + /** + * This function produce a vector of doubles based on a landscape. It is required in a concept Vectorized_topological_data + */ std::vector vectorize( int number_of_function ) { //TODO, think of something smarter over here @@ -351,14 +365,28 @@ public: } return v; } - void compute_average( const std::vector< Abs_Topological_data_with_averages* >& to_average ) + /** + * This function return the number of functions that allows vectorization of persistence laandscape. It is required in a concept Vectorized_topological_data. + **/ + size_t number_of_vectorize_functions() + { + return this->number_of_functions_for_vectorization; + } + + /** + * A function to compute averaged persistence landscape, based on vector of persistence landscapes. + * This function is required by Topological_data_with_averages concept. + **/ + void compute_average( const std::vector< Persistence_landscape* >& to_average ) { - bool dbg = false; + bool dbg = false; + + if ( dbg ){std::cerr << "to_average.size() : " << to_average.size() << std::endl;} std::vector< Persistence_landscape* > nextLevelMerge( to_average.size() ); for ( size_t i = 0 ; i != to_average.size() ; ++i ) { - nextLevelMerge[i] = (Persistence_landscape*)to_average[i]; + nextLevelMerge[i] = to_average[i]; } bool is_this_first_level = true;//in the loop, we will create dynamically a unmber of intermediate complexes. We have to clean that up, but we cannot erase the initial andscapes we have //to average. In this case, we simply check if the nextLevelMerge are the input landscapes or the ones created in that loop by usig this extra variable. @@ -373,8 +401,8 @@ public: if ( dbg ){cerr << "i : " << i << endl;} Persistence_landscape* l = new Persistence_landscape; if ( i+1 != nextLevelMerge.size() ) - { - (*l) = (*nextLevelMerge[i])+(*nextLevelMerge[i+1]); + { + (*l) = (*nextLevelMerge[i])+(*nextLevelMerge[i+1]); } else { @@ -382,7 +410,7 @@ public: } nextNextLevelMerge.push_back( l ); } - if ( dbg ){cerr << "After this iteration \n";} + if ( dbg ){cerr << "After this iteration \n";getchar();} if ( !is_this_first_level ) { @@ -400,23 +428,53 @@ public: } - double distance( const Abs_Topological_data_with_distances* second , double power = 1 ) + /** + * A function to compute distance between persistence landscape. + * The parameter of this functionis a Persistence_landscape. + * This function is required in Topological_data_with_distances concept. + **/ + double distance( const Persistence_landscape& second , double power = 1 ) { if ( power != -1 ) { - return compute_discance_of_landscapes( *this , *((Persistence_landscape*)second) , power ); + return compute_discance_of_landscapes( *this , second , power ); } else { - return compute_max_norm_discance_of_landscapes( *this , *((Persistence_landscape*)second) ); + return compute_max_norm_discance_of_landscapes( *this , second ); } } - double compute_scalar_product( const Abs_Topological_data_with_scalar_product* second ) + /** + * A function to compute scalar product of persistence landscapes. + * The parameter of this functionis a Persistence_landscape. + * This function is required in Topological_data_with_scalar_product concept. + **/ + double compute_scalar_product( const Persistence_landscape& second ) { - return compute_inner_product( (*this) , *((Persistence_landscape*)second) ); - } + return compute_inner_product( (*this) , second ); + } + //end of implementation of functions needed for concepts. + + + + + + + + + + + + + + + + + + + std::vector< std::vector< std::pair > > output_for_visualization() @@ -431,6 +489,8 @@ public: protected: std::vector< std::vector< std::pair > > land; + size_t number_of_functions_for_vectorization; + size_t number_of_functions_for_projections_to_reals; void construct_persistence_landscape_from_barcode( const std::vector< std::pair< double , double > > & p ); Persistence_landscape multiply_lanscape_by_real_number_not_overwrite( double x )const; @@ -1019,6 +1079,16 @@ Persistence_landscape operation_on_pair_of_landscapes ( const Persistence_landsc std::vector< std::vector< std::pair > > land( std::max( land1.land.size() , land2.land.size() ) ); result.land = land; T oper; + + if ( operation_on_pair_of_landscapesDBG ) + { + for ( size_t i = 0 ; i != std::min( land1.land.size() , land2.land.size() ) ; ++i ) + { + std::cerr << "land1.land[" << i << "].size() : " << land1.land[i].size() << std::endl; + std::cerr << "land2.land[" << i << "].size() : " << land2.land[i].size() << std::endl; + } + getchar(); + } for ( size_t i = 0 ; i != std::min( land1.land.size() , land2.land.size() ) ; ++i ) { @@ -1031,8 +1101,13 @@ Persistence_landscape operation_on_pair_of_landscapes ( const Persistence_landsc { std::cerr << "p : " << p << "\n"; std::cerr << "q : " << q << "\n"; + std::cerr << "land1.land.size() : " << land1.land.size() << std::endl; + std::cerr << "land2.land.size() : " << land2.land.size() << std::endl; + std::cerr << "land1.land[" << i << "].size() : " << land1.land[i].size() << std::endl; + std::cerr << "land2.land[" << i << "].size() : " << land2.land[i].size() << std::endl; std::cout << "land1.land[i][p].first : " << land1.land[i][p].first << "\n"; std::cout << "land2.land[i][q].first : " << land2.land[i][q].first << "\n"; + //getchar(); } if ( land1.land[i][p].first < land2.land[i][q].first ) @@ -1070,7 +1145,7 @@ Persistence_landscape operation_on_pair_of_landscapes ( const Persistence_landsc lambda_n.push_back( std::make_pair( land2.land[i][q].first , oper( land1.land[i][p].second , land2.land[i][q].second ) ) ); ++p;++q; } - if (operation_on_pair_of_landscapesDBG){std::cout << "Next iteration \n";getchar();} + if (operation_on_pair_of_landscapesDBG){std::cout << "Next iteration \n";} } while ( (p+1 < land1.land[i].size())&&(q+1 >= land2.land[i].size()) ) { @@ -1125,7 +1200,7 @@ Persistence_landscape operation_on_pair_of_landscapes ( const Persistence_landsc result.land[i].swap(lambda_n); } } - if ( operation_on_pair_of_landscapesDBG ){std::cout << "operation_on_pair_of_landscapes\n";std::cin.ignore();} + if ( operation_on_pair_of_landscapesDBG ){std::cout << "operation_on_pair_of_landscapes END\n";std::cin.ignore();} return result; }//operation_on_pair_of_landscapes diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h index 988c9f16..80c6628d 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h @@ -36,11 +36,7 @@ //gudhi include -#include -#include -#include -#include -#include + #include #include @@ -54,12 +50,9 @@ namespace Gudhi namespace Gudhi_stat { -class Persistence_landscape_on_grid : - public Abs_Vectorized_topological_data , - public Abs_Topological_data_with_distances, - public Abs_Real_valued_topological_data, - public Abs_Topological_data_with_averages, - public Abs_Topological_data_with_scalar_product + +//this class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product +class Persistence_landscape_on_grid { public: /** @@ -700,20 +693,120 @@ public: } return result; } + + + /** + * Computations of L^{p} distance between two landscapes on a grid. p is the parameter of the procedure. + **/ + friend double compute_discance_of_landscapes_on_grid( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second , int p ) + { + bool dbg = false; + //This is what we want to compute: (\int_{- \infty}^{+\infty}| first-second |^p)^(1/p). We will do it one step at a time: + + if ( dbg ) + { + cerr << "first : " << first << endl; + cerr << "second : " << second << endl; + getchar(); + } + + //first-second : + Persistence_landscape_on_grid lan = first-second; + + if ( dbg ) + { + cerr << "Difference : " << lan << endl; + } + + //| first-second |: + lan.abs(); + + if ( dbg ) + { + cerr << "Abs : " << lan << endl; + } + + if ( p != -1 ) + { + //\int_{- \infty}^{+\infty}| first-second |^p + double result; + if ( p != 1 ) + { + if (dbg){cerr << "p : " << p << endl; getchar();} + result = lan.compute_integral_of_landscape( (double)p ); + if (dbg){cerr << "integral : " << result << endl;getchar();} + } + else + { + result = lan.compute_integral_of_landscape(); + if (dbg){cerr << "integral, wihtout power : " << result << endl;getchar();} + } + //(\int_{- \infty}^{+\infty}| first-second |^p)^(1/p) + return pow( result , 1/(double)p ); + } + else + { + //p == -1 + return lan.compute_maximum(); + } + } + + + + + + + + + - //concretization of abstract functions: + + + + + + + + + + + + + + + + + + + + //Functions that are needed for that class to implement the concept. /** * The number of projections to R is defined to the number of nonzero landscape functions. I-th projection is an integral of i-th landscape function over whole R. + * This function is required by the Real_valued_topological_data concept. **/ double project_to_R( int number_of_function ) { return this->compute_integral_of_landscape( (size_t)number_of_function ); } + + /** + * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. + **/ + size_t number_of_projections_to_R() + { + return number_of_functions_for_projections_to_reals; + } + + + + /** + * This function produce a vector of doubles based on a landscape. It is required in a concept Vectorized_topological_data + */ std::vector vectorize( int number_of_function ) { //TODO, think of something smarter over here @@ -726,14 +819,27 @@ public: } /** - * A function to compute averaged persistence landscape on a grid, based on vector of persistence landscapes on grid (projected to Abs_Topological_data_with_averages*, since this is a concretization of a virtual method. + * This function return the number of functions that allows vectorization of persistence laandscape. It is required in a concept Vectorized_topological_data. + **/ + size_t number_of_vectorize_functions() + { + return number_of_functions_for_vectorization; + } + + + + + + /** + * A function to compute averaged persistence landscape on a grid, based on vector of persistence landscapes on grid. + * This function is required by Topological_data_with_averages concept. **/ - void compute_average( const std::vector< Abs_Topological_data_with_averages* >& to_average ) + void compute_average( const std::vector< Persistence_landscape_on_grid* >& to_average ) { bool dbg = false; //After execution of this procedure, the average is supposed to be in the current object. To make sure that this is the case, we need to do some cleaning first. - this->values_of_landscapes.clear(); + this->values_of_landscapes .clear(); this->grid_min = this->grid_max = 0; //if there is nothing to averate, then the average is a zero landscape. @@ -791,87 +897,53 @@ public: }//compute_average - /** - * Computations of L^{p} distance between two landscapes on a grid. p is the parameter of the procedure. - **/ - friend double compute_discance_of_landscapes_on_grid( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second , int p ) - { - bool dbg = false; - //This is what we want to compute: (\int_{- \infty}^{+\infty}| first-second |^p)^(1/p). We will do it one step at a time: - - if ( dbg ) - { - cerr << "first : " << first << endl; - cerr << "second : " << second << endl; - getchar(); - } - - //first-second : - Persistence_landscape_on_grid lan = first-second; - - if ( dbg ) - { - cerr << "Difference : " << lan << endl; - } - - //| first-second |: - lan.abs(); - - if ( dbg ) - { - cerr << "Abs : " << lan << endl; - } - - if ( p != -1 ) - { - //\int_{- \infty}^{+\infty}| first-second |^p - double result; - if ( p != 1 ) - { - if (dbg){cerr << "p : " << p << endl; getchar();} - result = lan.compute_integral_of_landscape( (double)p ); - if (dbg){cerr << "integral : " << result << endl;getchar();} - } - else - { - result = lan.compute_integral_of_landscape(); - if (dbg){cerr << "integral, wihtout power : " << result << endl;getchar();} - } - //(\int_{- \infty}^{+\infty}| first-second |^p)^(1/p) - return pow( result , 1/(double)p ); - } - else - { - //p == -1 - return lan.compute_maximum(); - } - } - /** * A function to compute distance between persistence landscape on a grid. - * The parameter of this functionis a persistence landscapes on grid (projected to Abs_Topological_data_with_averages*, since this is a concretization of a virtual method. + * The parameter of this functionis a Persistence_landscape_on_grid. + * This function is required in Topological_data_with_distances concept. **/ - double distance( const Abs_Topological_data_with_distances* second , double power = 1 ) + double distance( const Persistence_landscape_on_grid& second , double power = 1 ) { if ( power != -1 ) { - return compute_discance_of_landscapes_on_grid( *this , *((Persistence_landscape_on_grid*)second) , power ); + return compute_discance_of_landscapes_on_grid( *this , second , power ); } else { - return compute_max_norm_discance_of_landscapes( *this , *((Persistence_landscape_on_grid*)second) ); + return compute_max_norm_discance_of_landscapes( *this , second ); } } /** * A function to compute scalar product of persistence landscape on a grid. - * The parameter of this functionis a persistence landscapes on grid (projected to Abs_Topological_data_with_averages*, since this is a concretization of a virtual method. + * The parameter of this functionis a Persistence_landscape_on_grid. + * This function is required in Topological_data_with_scalar_product concept. **/ - double compute_scalar_product( const Abs_Topological_data_with_scalar_product* second ) + double compute_scalar_product( const Persistence_landscape_on_grid& second ) { - return compute_inner_product( (*this) , *((Persistence_landscape_on_grid*)second) ); + return compute_inner_product( (*this) , second ); } + //end of implementation of functions needed for concepts. + + + + + + + + + + + + + + + + + + + /** * A function that returns values of landsapes. It can be used for vizualization @@ -891,6 +963,8 @@ protected: double grid_min; double grid_max; std::vector< std::vector< double > > values_of_landscapes; + size_t number_of_functions_for_vectorization; + size_t number_of_functions_for_projections_to_reals; void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() { diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h index bb350040..7211f6eb 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h @@ -30,12 +30,7 @@ #include #include - -#include -#include -#include -#include -#include +//gudhi include #include #include using namespace std; @@ -67,16 +62,13 @@ struct maximum_distance /** * This is an implementation of idea presented in the paper by Steve, Matthew and Max. The parameter of the class is the class that computes distance used to construct the vectors. The typical function is -* either Eucludean of maximum (Manhattan) distance. +* either Eucludean of maximum (Manhattan) distance. +* This class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product +* **/ template -class Vector_distances_in_diagram : - public Abs_Vectorized_topological_data, - public Abs_Topological_data_with_distances, - public Abs_Real_valued_topological_data, - public Abs_Topological_data_with_averages, - public Abs_Topological_data_with_scalar_product +class Vector_distances_in_diagram { public: /** @@ -168,31 +160,66 @@ public: return !( *this == second ); } - //concretization of abstract methods: + + + + //Implementations of functions for various concepts. /** - * Compute projection to real numbers of persistence vector. + * Compute projection to real numbers of persistence vector. This function is required by the Real_valued_topological_data concept **/ double project_to_R( int number_of_function ); + /** + * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. + **/ + size_t number_of_projections_to_R() + { + return this->number_of_functions_for_projections_to_reals; + } /** - * Compute a vectorization of a persistent vectors. + * Compute a vectorization of a persistent vectors. It is required in a concept Vectorized_topological_data. **/ std::vector vectorize( int number_of_function ); + /** + * This function return the number of functions that allows vectorization of a persisence vector. It is required in a concept Vectorized_topological_data. + **/ + size_t number_of_vectorize_functions() + { + return this->number_of_functions_for_vectorization; + } /** - * Compute a average of two persistent vectors. + * Compute a average of two persistent vectors. This function is required by Topological_data_with_averages concept. **/ - void compute_average( const std::vector< Abs_Topological_data_with_averages* >& to_average ); + void compute_average( const std::vector< Vector_distances_in_diagram* >& to_average ); /** - * Compute a distance of two persistent vectors. + * Compute a distance of two persistent vectors. This function is required in Topological_data_with_distances concept. **/ - double distance( const Abs_Topological_data_with_distances* second , double power = 1); + double distance( const Vector_distances_in_diagram& second , double power = 1); /** - * Compute a scalar product of two persistent vectors. + * Compute a scalar product of two persistent vectors. This function is required in Topological_data_with_scalar_product concept. **/ - double compute_scalar_product( const Abs_Topological_data_with_scalar_product* second ); + double compute_scalar_product( const Vector_distances_in_diagram& second ); + //end of implementation of functions needed for concepts. + + + + + + + + + + + + + + + + + /** * For visualization use output from vectorize and build histograms. @@ -202,6 +229,7 @@ public: return this->sorted_vector_of_distances; } + /** * Create a gnuplot script to vizualize the data structure. **/ @@ -228,6 +256,9 @@ public: private: std::vector< std::pair< double , double > > intervals; std::vector< double > sorted_vector_of_distances; + size_t number_of_functions_for_vectorization; + size_t number_of_functions_for_projections_to_reals; + size_t where_to_cut; void compute_sorted_vector_of_distances_via_heap( size_t where_to_cut ); void compute_sorted_vector_of_distances_via_vector_sorting( size_t where_to_cut ); @@ -247,7 +278,7 @@ private: template -Vector_distances_in_diagram::Vector_distances_in_diagram( const std::vector< std::pair< double,double > >& intervals_ , size_t where_to_cut ):Abs_Vectorized_topological_data(where_to_cut) +Vector_distances_in_diagram::Vector_distances_in_diagram( const std::vector< std::pair< double,double > >& intervals_ , size_t where_to_cut_ ):where_to_cut(where_to_cut_) { std::vector< std::pair< double,double > > i( intervals_ ); this->intervals = i; @@ -279,7 +310,7 @@ Vector_distances_in_diagram& Vector_distances_in_diagram::operator =( cons template -Vector_distances_in_diagram::Vector_distances_in_diagram( const char* filename , size_t where_to_cut ):Abs_Vectorized_topological_data(where_to_cut) +Vector_distances_in_diagram::Vector_distances_in_diagram( const char* filename , size_t where_to_cut ):where_to_cut(where_to_cut) { //standard file with barcode std::vector< std::pair< double , double > > intervals = read_standard_file( filename ); @@ -425,7 +456,7 @@ void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_vect -//concretization of abstract methods: +//Implementations of functions for various concepts. template double Vector_distances_in_diagram::project_to_R( int number_of_function ) { @@ -441,7 +472,7 @@ double Vector_distances_in_diagram::project_to_R( int number_of_function ) } template -void Vector_distances_in_diagram::compute_average( const std::vector< Abs_Topological_data_with_averages* >& to_average ) +void Vector_distances_in_diagram::compute_average( const std::vector< Vector_distances_in_diagram* >& to_average ) { if ( to_average.size() == 0 ) @@ -452,23 +483,19 @@ void Vector_distances_in_diagram::compute_average( const std::vector< Abs_Top size_t maximal_length_of_vector = 0; for ( size_t i = 0 ; i != to_average.size() ; ++i ) - { - Vector_distances_in_diagram* current = (Vector_distances_in_diagram*)to_average[i]; - if ( current->sorted_vector_of_distances.size() > maximal_length_of_vector ) + { + if ( to_average[i]->sorted_vector_of_distances.size() > maximal_length_of_vector ) { - maximal_length_of_vector = current->sorted_vector_of_distances.size(); + maximal_length_of_vector = to_average[i]->sorted_vector_of_distances.size(); } - } - - //cerr << "maximal_length_of_vector : " << maximal_length_of_vector << endl; + } std::vector< double > av( maximal_length_of_vector , 0 ); for ( size_t i = 0 ; i != to_average.size() ; ++i ) - { - Vector_distances_in_diagram* current = (Vector_distances_in_diagram*)to_average[i]; - for ( size_t j = 0 ; j != current->sorted_vector_of_distances.size() ; ++j ) + { + for ( size_t j = 0 ; j != to_average[i]->sorted_vector_of_distances.size() ; ++j ) { - av[j] += current->sorted_vector_of_distances[j]; + av[j] += to_average[i]->sorted_vector_of_distances[j]; } } @@ -481,7 +508,7 @@ void Vector_distances_in_diagram::compute_average( const std::vector< Abs_Top } template -double Vector_distances_in_diagram::distance( const Abs_Topological_data_with_distances* second , double power ) +double Vector_distances_in_diagram::distance( const Vector_distances_in_diagram& second_ , double power ) { bool dbg = false; @@ -490,47 +517,45 @@ double Vector_distances_in_diagram::distance( const Abs_Topological_data_with std::cerr << "Entering double Vector_distances_in_diagram::distance( const Abs_Topological_data_with_distances* second , double power ) procedure \n"; std::cerr << "Power : " << power << std::endl; std::cerr << "This : " << *this << std::endl; - std::cerr << "second : " << *((Vector_distances_in_diagram*)second) << std::endl; - } - - Vector_distances_in_diagram* second_ = ((Vector_distances_in_diagram*)second); + std::cerr << "second : " << second_ << std::endl; + } double result = 0; - for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(), second_->sorted_vector_of_distances.size()) ; ++i ) + for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(), second_.sorted_vector_of_distances.size()) ; ++i ) { if ( power == 1 ) { if ( dbg ) { - cerr << "|" << this->sorted_vector_of_distances[i] << " - " << second_->sorted_vector_of_distances[i] << " | : " << fabs( this->sorted_vector_of_distances[i] - second_->sorted_vector_of_distances[i] ) << endl; + cerr << "|" << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " | : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) << endl; } - result += fabs( this->sorted_vector_of_distances[i] - second_->sorted_vector_of_distances[i] ); + result += fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ); } else { - result += std::pow( fabs( this->sorted_vector_of_distances[i] - second_->sorted_vector_of_distances[i] ) , power ); + result += std::pow( fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) , power ); if ( dbg ) { - cerr << "| " << this->sorted_vector_of_distances[i] << " - " << second_->sorted_vector_of_distances[i] << " : " << fabs( this->sorted_vector_of_distances[i] - second_->sorted_vector_of_distances[i] ) << endl; + cerr << "| " << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) << endl; } } } - if ( this->sorted_vector_of_distances.size() != second_->sorted_vector_of_distances.size() ) + if ( this->sorted_vector_of_distances.size() != second_.sorted_vector_of_distances.size() ) { - if ( this->sorted_vector_of_distances.size() > second_->sorted_vector_of_distances.size() ) + if ( this->sorted_vector_of_distances.size() > second_.sorted_vector_of_distances.size() ) { - for ( size_t i = second_->sorted_vector_of_distances.size() ; i != this->sorted_vector_of_distances.size() ; ++i ) + for ( size_t i = second_.sorted_vector_of_distances.size() ; i != this->sorted_vector_of_distances.size() ; ++i ) { result += fabs( this->sorted_vector_of_distances[i] ); } } else { - //this->sorted_vector_of_distances.size() < second_->sorted_vector_of_distances.size() - for ( size_t i = this->sorted_vector_of_distances.size() ; i != second_->sorted_vector_of_distances.size() ; ++i ) + //this->sorted_vector_of_distances.size() < second_.sorted_vector_of_distances.size() + for ( size_t i = this->sorted_vector_of_distances.size() ; i != second_.sorted_vector_of_distances.size() ; ++i ) { - result += fabs( second_->sorted_vector_of_distances[i] ); + result += fabs( second_.sorted_vector_of_distances[i] ); } } } @@ -595,14 +620,12 @@ void Vector_distances_in_diagram::load_from_file( const char* filename ) } template < typename F> -double Vector_distances_in_diagram::compute_scalar_product( const Abs_Topological_data_with_scalar_product* second ) +double Vector_distances_in_diagram::compute_scalar_product( const Vector_distances_in_diagram& second_vector ) { - Vector_distances_in_diagram* second_vector = (Vector_distances_in_diagram*)second; - double result = 0; - for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(),second_vector->sorted_vector_of_distances.size()) ; ++i ) + for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(),second_vector.sorted_vector_of_distances.size()) ; ++i ) { - result += this->sorted_vector_of_distances[i] * second_vector->sorted_vector_of_distances[i]; + result += this->sorted_vector_of_distances[i] * second_vector.sorted_vector_of_distances[i]; } return result; } diff --git a/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h b/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h index 519c44fa..0a740996 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h @@ -47,7 +47,7 @@ std::vector< std::pair< double,double > > read_file_names_that_may_contain_inf_s if ( !( access( filename, F_OK ) != -1 ) ) { - cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read do not exist. The program will now terminate \n"; } @@ -111,7 +111,7 @@ std::vector< std::string > readFileNames( char* filenameWithFilenames ) if ( !( access( filenameWithFilenames, F_OK ) != -1 ) ) { - cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + std::cerr << "The file : " << filenameWithFilenames << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read do not exist. The program will now terminate \n"; } @@ -174,6 +174,7 @@ std::vector< std::pair< double , double > > read_standard_file( const char* file double beginn, endd; lineSS >> beginn; lineSS >> endd; + if ( beginn == endd )continue; if ( beginn > endd ) { double b = beginn; diff --git a/src/Gudhi_stat/include/gudhi/permutation_test.h b/src/Gudhi_stat/include/gudhi/permutation_test.h new file mode 100644 index 00000000..18b94eab --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/permutation_test.h @@ -0,0 +1,80 @@ +/* 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 . + */ + +#ifndef PERMUTATION_TEST_H +#define PERMUTATION_TEST_H + + +//concretizations +#include +#include +#include +#include +#include + +using namespace std; + +namespace Gudhi +{ +namespace Gudhi_stat +{ + +template +double permutation_test( const std::vector& data_1 , const std::vector& data_2 , size_t number_of_permutations , double exponent = 1 ) +{ + try + { + Representation_of_persistence* av_1 = new Representation_of_persistence; + av_1->compute_average( data_1 ); + Representation_of_persistence* av_2 = new Representation_of_persistence; + av_2->compute_average( data_2 ); + double initial_distance = av_1->distance( *av_2 , exponent ); + double counter = 0; + + for ( size_t i = 0 ; i != number_of_permutations ; ++i ) + { + std::vector all_data; + all_data.insert(all_data.end() , data_1.begin() , data_1.end() ); + all_data.insert(all_data.end() , data_2.begin() , data_2.end() ); + std::random_shuffle( all_data.begin() , all_data.end() ); + + std::vector first_part(&all_data[0],&all_data[data_1.size()]); + std::vector second_part(&all_data[data_1.size()],&all_data[all_data.size()]); + + av_1->compute_average( first_part ); + av_2->compute_average( second_part ); + double distance_after_permutations = av_1->distance( *av_2 , exponent ); + if ( distance_after_permutations > initial_distance )++counter; + } + return counter / (double)number_of_permutations; + } + catch (...) + { + std::cout << "The data structure do not support the operations that are neccessay for a permutation test (averaging, distances) \n"; + } + return 0; +}//permutation_test + +}//Gudhi_stat +}//Gudhi + +#endif diff --git a/src/Gudhi_stat/include/gudhi/topological_process.h b/src/Gudhi_stat/include/gudhi/topological_process.h new file mode 100644 index 00000000..d8d8e696 --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/topological_process.h @@ -0,0 +1,101 @@ +/* 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 . + */ + +#ifndef PERMUTATION_TEST_H +#define PERMUTATION_TEST_H +//abstract classes: +#include +#include +#include + + +//concretizations +#include +#include +#include +#include + +//extras +#include + +namespace Gudhi +{ +namespace Gudhi_stat +{ + +template +class Topological_process +{ +public: + Topological_process(); + Topological_process( const std::vetor< Representation* >& data_ ):data(data_){} + Topological_process( const char* filename );//we assume that the filename contains a list of files with the diagrams. + double distance( const Topological_process& second ) + { + if ( this->data.size() != second.data.size() ) + { + throw "Incompatible lengths of topological processes, we cannot compute the distance in this case \n"; + } + double result = 0; + for ( size_t i = 0 ; i != this->data.size() ; ++i ) + { + result += this->data[i].distance( secod.data[i] ); + } + return result; + } + + compute_average( const std::vector< Representation* >& to_average ) + { + //since we will substitute whatever data we have in this object with an average, we clear the data in this object first: + this->data.clear(); + //then we need to check if all the topological processes in the vector to_average have the same length. + if ( to_average.size() == 0 )return; + for ( size_t i = 1 ; i != to_average.size() ; ++i ) + { + if ( to_average[0].data.size() != to_average[i].data.size ) + { + throw "Incompatible lengths of topological processes, the averages cannot be computed \n"; + } + } + } + //scalar products? + //confidence bounds? +private: + std::vetor< Representation* > data; +}; + +template +Topological_process::Topological_process( const char* filename ) +{ + std::vector< std::string > filenames = readFileNames( filename ); + this->data.reserve( filenames.size() ); + for ( size_t file = 0 ; file != filenames.size() ; ++file ) + { + std::vector< std::pair > intervals_in_this_file = read_file_names_that_may_contain_inf_string( filenames[i] ); + this-data[i] = new Representation( intervals_in_this_file ); + } +} + +}//Gudhi_stat +}//Gudhi + +#endif diff --git a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp index c4c97d72..d9cba466 100644 --- a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp +++ b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp @@ -61,10 +61,10 @@ BOOST_AUTO_TEST_CASE(check_averages_of_heat_maps) Persistence_heat_maps q( "data/file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 10 ); Persistence_heat_maps r( "data/file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 10 ); - std::vector< Abs_Topological_data_with_averages* > to_average; - to_average.push_back( (Abs_Topological_data_with_averages*)(&p) ); - to_average.push_back( (Abs_Topological_data_with_averages*)(&q) ); - to_average.push_back( (Abs_Topological_data_with_averages*)(&r) ); + std::vector< Persistence_heat_maps* > to_average; + to_average.push_back( &p ); + to_average.push_back( &q ); + to_average.push_back( &r ); Persistence_heat_maps av; av.compute_average( to_average ); @@ -164,28 +164,28 @@ BOOST_AUTO_TEST_CASE(check_distance_for_heat_maps) Persistence_heat_maps q( "data/file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); Persistence_heat_maps r( "data/file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 1 ); - //cerr << p.distance( (Abs_Topological_data_with_distances*)&p ) << endl; - //cerr << p.distance( (Abs_Topological_data_with_distances*)&q ) << endl; - //cerr << p.distance( (Abs_Topological_data_with_distances*)&r ) << endl; - //cerr << q.distance( (Abs_Topological_data_with_distances*)&p ) << endl; - //cerr << q.distance( (Abs_Topological_data_with_distances*)&q ) << endl; - //cerr << q.distance( (Abs_Topological_data_with_distances*)&r ) << endl; - //cerr << r.distance( (Abs_Topological_data_with_distances*)&p ) << endl; - //cerr << r.distance( (Abs_Topological_data_with_distances*)&q ) << endl; - //cerr << r.distance( (Abs_Topological_data_with_distances*)&r ) << endl; + //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( (Abs_Topological_data_with_distances*)&p ) - 0) < 0.0005); - BOOST_CHECK( fabs( p.distance( (Abs_Topological_data_with_distances*)&q ) - 624.183)< 0.0005); - BOOST_CHECK( fabs( p.distance( (Abs_Topological_data_with_distances*)&r ) - 415.815)< 0.0005); - BOOST_CHECK( fabs( q.distance( (Abs_Topological_data_with_distances*)&p ) - 624.183)< 0.0005); - BOOST_CHECK( fabs( q.distance( (Abs_Topological_data_with_distances*)&q ) - 0)< 0.0005); - BOOST_CHECK( fabs( q.distance( (Abs_Topological_data_with_distances*)&r ) - 528.066)< 0.0005); - BOOST_CHECK( fabs( r.distance( (Abs_Topological_data_with_distances*)&p ) - 415.815)< 0.0005); - BOOST_CHECK( fabs( r.distance( (Abs_Topological_data_with_distances*)&q ) - 528.066)< 0.0005); - BOOST_CHECK( fabs( r.distance( (Abs_Topological_data_with_distances*)&r ) - 0)< 0.0005); + 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); } @@ -214,25 +214,25 @@ BOOST_AUTO_TEST_CASE(check_scalar_products_for_heat_maps) Persistence_heat_maps q( "data/file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); Persistence_heat_maps r( "data/file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 1 ); - //cerr << p.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&p ) << endl; - //cerr << p.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&q ) << endl; - //cerr << p.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&r ) << endl; - //cerr << q.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&p ) << endl; - //cerr << q.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&q ) << endl; - //cerr << q.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&r ) << endl; - //cerr << r.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&p ) << endl; - //cerr << r.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&q ) << endl; - //cerr << r.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&r ) << endl; - - - BOOST_CHECK( fabs( p.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&p ) - 0.0345687 )< 0.0005); - BOOST_CHECK( fabs( p.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&q ) - 0.0509357 )< 0.0005); - BOOST_CHECK( fabs( p.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&r ) - 0.0375608 )< 0.0005); - BOOST_CHECK( fabs( q.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&p ) - 0.0509357 )< 0.0005); - BOOST_CHECK( fabs( q.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&q ) - 1.31293 )< 0.0005); - BOOST_CHECK( fabs( q.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&r ) - 0.536799)< 0.0005); - BOOST_CHECK( fabs( r.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&p ) - 0.0375608)< 0.0005); - BOOST_CHECK( fabs( r.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&q ) - 0.536799)< 0.0005); - BOOST_CHECK( fabs( r.compute_scalar_product( (Abs_Topological_data_with_scalar_product*)&r ) - 0.672907)< 0.0005); + //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); } diff --git a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp index d7d72d6b..17ed9fde 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp @@ -219,7 +219,7 @@ 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 ); - std::vector< Abs_Topological_data_with_averages* > to_average; + std::vector< Persistence_landscape_on_grid* > to_average; to_average.push_back( &p ); to_average.push_back( &q ); Persistence_landscape_on_grid av; @@ -237,9 +237,9 @@ 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 , -1 )-0.359 ) <= 0.00001 ); + 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 , -1 )-0.359 ) <= 0.00001 ); } @@ -247,8 +247,8 @@ 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 ) , p.compute_scalar_product( &q ) ) ); + //std::cerr << p.compute_scalar_product( q ) << std::endl; + BOOST_CHECK( almost_equal( p.compute_scalar_product( q ) , 0.754367 ) ); } diff --git a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp index 9506410a..9ec7f880 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp @@ -191,7 +191,7 @@ BOOST_AUTO_TEST_CASE(check_computations_of_averages) { Persistence_landscape p( "data/file_with_diagram" ); Persistence_landscape q( "data/file_with_diagram_1" ); - std::vector< Abs_Topological_data_with_averages* > to_average; + std::vector< Persistence_landscape* > to_average; to_average.push_back( &p ); to_average.push_back( &q ); Persistence_landscape av; @@ -209,9 +209,9 @@ BOOST_AUTO_TEST_CASE(check_computations_of_distances) { Persistence_landscape p( "data/file_with_diagram" ); Persistence_landscape q( "data/file_with_diagram_1" ); - 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 , -1 )-0.359068 ) <= 0.00001 ); + 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 , -1 )-0.359068 ) <= 0.00001 ); } @@ -219,6 +219,6 @@ BOOST_AUTO_TEST_CASE(check_computations_of_scalar_product) { Persistence_landscape p( "data/file_with_diagram" ); Persistence_landscape q( "data/file_with_diagram_1" ); - BOOST_CHECK( fabs( p.compute_scalar_product( &q ) - 0.754498 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.compute_scalar_product( q ) - 0.754498 ) <= 0.00001 ); } diff --git a/src/Gudhi_stat/test/vector_representation_test.cpp b/src/Gudhi_stat/test/vector_representation_test.cpp index 44801ad9..3e14bd59 100644 --- a/src/Gudhi_stat/test/vector_representation_test.cpp +++ b/src/Gudhi_stat/test/vector_representation_test.cpp @@ -315,7 +315,7 @@ BOOST_AUTO_TEST_CASE(check_distance_computations) 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( (Abs_Topological_data_with_distances*)(&p_bis) , 1 ) , 1.86428 ) ); + BOOST_CHECK( almost_equal ( p_prime.distance( p_bis , 1 ) , 1.86428 ) ); } @@ -337,9 +337,9 @@ BOOST_AUTO_TEST_CASE(check_compute_average) Vector_distances_in_diagram< euclidean_distance > A( i1 , -1 ); Vector_distances_in_diagram< euclidean_distance > B( i1 , -1 ); - std::vector< Abs_Topological_data_with_averages* > to_average; - to_average.push_back( (Abs_Topological_data_with_averages*)(&A) ); - to_average.push_back( (Abs_Topological_data_with_averages*)(&B) ); + std::vector< Vector_distances_in_diagram< euclidean_distance >* > to_average; + to_average.push_back( &A ); + to_average.push_back( &B ); Vector_distances_in_diagram< euclidean_distance > average; average.compute_average( to_average ); diff --git a/src/Gudhi_stat/utilities/CMakeLists.txt b/src/Gudhi_stat/utilities/CMakeLists.txt index 4fc11b57..e97c5708 100644 --- a/src/Gudhi_stat/utilities/CMakeLists.txt +++ b/src/Gudhi_stat/utilities/CMakeLists.txt @@ -101,6 +101,6 @@ target_link_libraries(persistence_vectors/plot_persistence_vectors ${Boost_SYSTE #some stat libraries: -#add_executable ( permutation_test permutation_test.cpp ) -#target_link_libraries(permutation_test ${Boost_SYSTEM_LIBRARY}) +add_executable ( permutation_test permutation_test.cpp ) +target_link_libraries(permutation_test ${Boost_SYSTEM_LIBRARY}) diff --git a/src/Gudhi_stat/utilities/permutation_test.cpp b/src/Gudhi_stat/utilities/permutation_test.cpp new file mode 100644 index 00000000..809802d7 --- /dev/null +++ b/src/Gudhi_stat/utilities/permutation_test.cpp @@ -0,0 +1,84 @@ +/* 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 +#include + +using namespace std; +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + +int main( int argc , char** argv ) +{ + + std::cout << "This program require the following parameters: \n"; + std::cout << "(1-2) Names of files each of them contains the names of files with persistence diagrams. The diagrams from a single file are assumed to be in the same group \n"; + std::cout << "Third parameter is an integer being the number of permutations to be made \n"; + std::cout << "The last parameter is a double, the power of a distance \n"; + if ( argc != 5 ) + { + std::cout << "Wrong number of parameters, the program will now terminat \n"; + return 1; + } + std::cout << "We will now read the data from files : " << argv[1] << " and " << argv[2] << std::endl; + size_t number_of_permutations = (size_t)(atoi(argv[3])); + size_t exponent = (double)atof( argv[4] ); + + std::vector< std::string > first_group = readFileNames( argv[1] ); + std::vector< std::string > second_group =readFileNames( argv[2] ); + + std::cout << "Here are the filenames in the first group :\n"; + for ( size_t i = 0 ; i != first_group.size() ; ++i ) + { + std::cout << first_group[i] << std::endl; + } + std::cout << "Here are the filenames in the second group :\n"; + for ( size_t i = 0 ; i != second_group.size() ; ++i ) + { + std::cout << second_group[i] << std::endl; + } + + std::vector< Persistence_landscape* > first_collection( first_group.size() ); + for ( size_t i = 0 ; i != first_group.size() ; ++i ) + { + std::vector< std::pair< double , double > > diag = read_standard_file( first_group[i].c_str() ); + Persistence_landscape* l = new Persistence_landscape( diag ); + first_collection[i] = l; + } + + std::vector< Persistence_landscape* > second_collection( second_group.size() ); + for ( size_t i = 0 ; i != second_group.size() ; ++i ) + { + std::vector< std::pair< double , double > > diag = read_standard_file( second_group[i].c_str() ); + Persistence_landscape* l = new Persistence_landscape( diag ); + second_collection[i] = l; + } + + std::cout << "The p-value form a permutation test is : " << permutation_test( first_collection , second_collection , number_of_permutations , exponent ) << std::endl; + + + + return 0; +} diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp index 811e4557..a3094e07 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp @@ -22,7 +22,6 @@ -#include #include @@ -50,12 +49,12 @@ int main( int argc , char** argv ) } std::cout << "Creating persistence landscapes...\n"; - std::vector< Abs_Topological_data_with_averages* > maps; + std::vector< Persistence_heat_maps* > maps; for ( size_t i = 0 ; i != filenames.size() ; ++i ) { Persistence_heat_maps* l = new Persistence_heat_maps; l->load_from_file( filenames[i] ); - maps.push_back( (Abs_Topological_data_with_averages*)l ); + maps.push_back( l ); } Persistence_heat_maps av; diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp index e462f009..bfe2a7ab 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp @@ -21,8 +21,6 @@ */ - -#include #include @@ -53,13 +51,13 @@ int main( int argc , char** argv ) { filenames.push_back( argv[i] ); } - std::vector< Abs_Topological_data_with_distances* > maps; + std::vector< Persistence_heat_maps > maps; maps.reserve( filenames.size() ); for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) { - Persistence_heat_maps* l = new Persistence_heat_maps; - l->load_from_file( filenames[file_no] ); - maps.push_back( (Abs_Topological_data_with_distances*)l ); + Persistence_heat_maps l; + l.load_from_file( filenames[file_no] ); + maps.push_back( l ); } //and now we will compute the scalar product of landscapes. @@ -77,7 +75,7 @@ int main( int argc , char** argv ) { for ( size_t j = i ; j != filenames.size() ; ++j ) { - distance[i][j] = distance[j][i] = ((Persistence_heat_maps*)maps[i])->distance( maps[j] , p ) ; + distance[i][j] = distance[j][i] = maps[i].distance( maps[j] , p ) ; } } diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp index c9ffa22e..d6899d1e 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp @@ -21,8 +21,6 @@ */ - -#include #include @@ -44,12 +42,12 @@ int main( int argc , char** argv ) { filenames.push_back( argv[i] ); } - std::vector< Persistence_heat_maps* > maps; + std::vector< Persistence_heat_maps > maps; maps.reserve( filenames.size() ); for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) { - Persistence_heat_maps* l = new Persistence_heat_maps; - l->load_from_file( filenames[file_no] ); + Persistence_heat_maps l; + l.load_from_file( filenames[file_no] ); maps.push_back( l ); } @@ -68,7 +66,7 @@ int main( int argc , char** argv ) { for ( size_t j = i ; j != maps.size() ; ++j ) { - scalar_product[i][j] = scalar_product[j][i] = ((Persistence_heat_maps*)maps[i])->compute_scalar_product( maps[j] ) ; + scalar_product[i][j] = scalar_product[j][i] = maps[i].compute_scalar_product( maps[j] ) ; } } diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp index 2cc00b87..b300d350 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp @@ -22,7 +22,6 @@ -#include #include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp index ae579329..3ce0fcec 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp @@ -22,7 +22,6 @@ -#include #include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp index 7877d699..4738d946 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp @@ -21,8 +21,6 @@ */ - -#include #include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp index 67972afe..8dab998a 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp @@ -21,8 +21,6 @@ */ - -#include #include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp index 1fc9d263..ec35f81c 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp @@ -20,9 +20,6 @@ * along with this program. If not, see . */ - - -#include #include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp index 6b67ea57..c4eed502 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp @@ -21,8 +21,6 @@ */ - -#include #include diff --git a/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp b/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp index 2c55a806..d73165b7 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp @@ -23,7 +23,6 @@ #include -#include #include #include diff --git a/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp b/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp index b29aea3a..d4949932 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp @@ -23,7 +23,6 @@ #include -#include #include #include diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp index 99f7e640..96e6fa47 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp @@ -23,7 +23,6 @@ #include -#include #include #include diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp index e23a4f20..e4efdf79 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp @@ -23,7 +23,6 @@ #include -#include #include #include diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp index 5950240e..6830a58b 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp @@ -23,7 +23,6 @@ #include -#include #include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/average_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/average_landscapes.cpp index 895146f5..35aec203 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/average_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/average_landscapes.cpp @@ -22,7 +22,6 @@ -#include #include @@ -51,12 +50,12 @@ int main( int argc , char** argv ) } std::cout << "Creating persistence landscapes...\n"; - std::vector< Abs_Topological_data_with_averages* > lands; + std::vector< Persistence_landscape* > lands; for ( size_t i = 0 ; i != filenames.size() ; ++i ) { Persistence_landscape* l = new Persistence_landscape; l->load_landscape_from_file( filenames[i] ); - lands.push_back( (Abs_Topological_data_with_averages*)l ); + lands.push_back( l ); } Persistence_landscape av; diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp index 34ec0bfa..e3c3a33e 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp @@ -20,9 +20,6 @@ * along with this program. If not, see . */ - - -#include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp index 443240ff..ef9de9c7 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp @@ -20,9 +20,6 @@ * along with this program. If not, see . */ - - -#include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/create_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/create_landscapes.cpp index fe96a067..212e6b16 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/create_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/create_landscapes.cpp @@ -20,9 +20,6 @@ * along with this program. If not, see . */ - - -#include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/plot_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/plot_landscapes.cpp index e035e4aa..0d72a17c 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/plot_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/plot_landscapes.cpp @@ -20,9 +20,6 @@ * along with this program. If not, see . */ - - -#include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp index 3b580181..2f6875b2 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp @@ -20,9 +20,6 @@ * along with this program. If not, see . */ - - -#include #include @@ -50,12 +47,12 @@ int main( int argc , char** argv ) } std::cout << "Creating persistence landscapes...\n"; - std::vector< Abs_Topological_data_with_averages* > lands; + std::vector< Persistence_landscape_on_grid* > lands; for ( size_t i = 0 ; i != filenames.size() ; ++i ) { Persistence_landscape_on_grid* l = new Persistence_landscape_on_grid; l->load_landscape_from_file( filenames[i] ); - lands.push_back( (Abs_Topological_data_with_averages*)l ); + lands.push_back( l ); } Persistence_landscape_on_grid av; diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp index 1813e297..ace5066a 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp @@ -20,9 +20,6 @@ * along with this program. If not, see . */ - - -#include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp index 33e111d5..a039a97a 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp @@ -21,8 +21,6 @@ */ - -#include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp index f6545e44..2b205513 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp @@ -20,9 +20,6 @@ * along with this program. If not, see . */ - - -#include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp index c12c3862..27946075 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp @@ -20,9 +20,6 @@ * along with this program. If not, see . */ - - -#include #include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp index 3262b157..cb3ea03d 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp @@ -21,8 +21,6 @@ */ - -#include #include @@ -51,12 +49,12 @@ int main( int argc , char** argv ) } std::cout << "Reading persistence vectors...\n"; - std::vector< Abs_Topological_data_with_averages* > lands; + std::vector< Vector_distances_in_diagram< euclidean_distance >* > lands; for ( size_t i = 0 ; i != filenames.size() ; ++i ) { Vector_distances_in_diagram< euclidean_distance >* l = new Vector_distances_in_diagram< euclidean_distance >; l->load_from_file( filenames[i] ); - lands.push_back( (Abs_Topological_data_with_averages*)l ); + lands.push_back(l ); } Vector_distances_in_diagram< euclidean_distance > av; diff --git a/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp index 33d92a72..5f8c6b52 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp @@ -20,9 +20,6 @@ * along with this program. If not, see . */ - - -#include #include @@ -53,13 +50,13 @@ int main( int argc , char** argv ) { filenames.push_back( argv[i] ); } - std::vector< Vector_distances_in_diagram< euclidean_distance >* > vectors; + std::vector< Vector_distances_in_diagram< euclidean_distance > > vectors; vectors.reserve( filenames.size() ); for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) { //cerr << filenames[file_no] << endl; - Vector_distances_in_diagram< euclidean_distance >* l = new Vector_distances_in_diagram< euclidean_distance >; - l->load_from_file( filenames[file_no] ); + Vector_distances_in_diagram< euclidean_distance > l; + l.load_from_file( filenames[file_no] ); vectors.push_back( l ); } @@ -78,7 +75,7 @@ int main( int argc , char** argv ) { for ( size_t j = i+1 ; j != vectors.size() ; ++j ) { - distance[i][j] = distance[j][i] = ((Vector_distances_in_diagram< euclidean_distance >*)vectors[i])->distance( vectors[j] , p ) ; + distance[i][j] = distance[j][i] = vectors[i].distance( vectors[j] , p ) ; } } diff --git a/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp index 5bea2765..a02cd078 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp @@ -20,9 +20,6 @@ * along with this program. If not, see . */ - - -#include #include @@ -44,12 +41,12 @@ int main( int argc , char** argv ) { filenames.push_back( argv[i] ); } - std::vector< Vector_distances_in_diagram< euclidean_distance >* > vectors; + std::vector< Vector_distances_in_diagram< euclidean_distance > > vectors; vectors.reserve( filenames.size() ); for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) { - Vector_distances_in_diagram< euclidean_distance >* l = new Vector_distances_in_diagram< euclidean_distance >; - l->load_from_file( filenames[file_no] ); + Vector_distances_in_diagram< euclidean_distance > l; + l.load_from_file( filenames[file_no] ); vectors.push_back( l ); } @@ -68,7 +65,7 @@ int main( int argc , char** argv ) { for ( size_t j = i ; j != vectors.size() ; ++j ) { - scalar_product[i][j] = scalar_product[j][i] = ((Vector_distances_in_diagram< euclidean_distance >*)vectors[i])->compute_scalar_product( vectors[j] ) ; + scalar_product[i][j] = scalar_product[j][i] = vectors[i].compute_scalar_product( vectors[j] ) ; } } @@ -85,13 +82,6 @@ int main( int argc , char** argv ) cout << endl; out << endl; } - out.close(); - - //cleaning up - for ( size_t i = 0 ; i != vectors.size() ; ++i ) - { - delete vectors[i]; - } - + out.close(); return 0; } diff --git a/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp index 657dd2d4..9f6b79cb 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp @@ -20,9 +20,6 @@ * along with this program. If not, see . */ - - -#include #include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp index 53f53654..de19a66d 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp @@ -20,9 +20,6 @@ * along with this program. If not, see . */ - - -#include #include -- cgit v1.2.3 From 754d26e6545b92f84017a618ac3813434f222bca Mon Sep 17 00:00:00 2001 From: pdlotko Date: Fri, 21 Oct 2016 20:10:53 +0000 Subject: adding a few corrections. Moreover I right now persisgence_heat_map is a template class. A template parameter is a class that gives the scaling of kernel with repsect to diagonal. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1742 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 37e4c01a95f5682f4acb3bba3145014671f95188 --- src/Gudhi_stat/example/persistence_heat_maps.cpp | 15 +-- src/Gudhi_stat/example/persistence_intervals.cpp | 1 - src/Gudhi_stat/example/persistence_landscape.cpp | 1 - .../example/persistence_landscape_on_grid.cpp | 1 - .../include/gudhi/concretizations/PSSK.h | 4 +- .../gudhi/concretizations/Persistence_heat_maps.h | 147 ++++++++++++--------- .../concretizations/read_persitence_from_file.h | 2 +- src/Gudhi_stat/include/gudhi/topological_process.h | 64 ++++++--- src/Gudhi_stat/test/persistence_heat_maps_test.cpp | 61 +++++---- src/Gudhi_stat/test/persistence_intervals_test.cpp | 1 - .../test/persistence_lanscapes_on_grid_test.cpp | 1 - src/Gudhi_stat/test/persistence_lanscapes_test.cpp | 1 - src/Gudhi_stat/utilities/CMakeLists.txt | 2 + .../average_persistence_heat_maps.cpp | 6 +- .../compute_distance_of_persistence_heat_maps.cpp | 4 +- ...ute_scalar_product_of_persistence_heat_maps.cpp | 4 +- .../create_persistence_heat_maps.cpp | 2 +- ...aps_weighted_by_arctan_of_their_persistence.cpp | 2 +- ...eat_maps_weighted_by_distance_from_diagonal.cpp | 2 +- ..._weighted_by_squared_distance_from_diagonal.cpp | 2 +- .../plot_persistence_heat_map.cpp | 2 +- 21 files changed, 180 insertions(+), 145 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/persistence_heat_maps.cpp b/src/Gudhi_stat/example/persistence_heat_maps.cpp index 645f63f7..1d7a131a 100644 --- a/src/Gudhi_stat/example/persistence_heat_maps.cpp +++ b/src/Gudhi_stat/example/persistence_heat_maps.cpp @@ -23,7 +23,6 @@ #include -#include #include #include @@ -61,27 +60,27 @@ int main( int argc , char** argv ) std::vector< std::vector > filter = create_Gaussian_filter(5,1); //creating two heat maps. - Persistence_heat_maps hm1( persistence1 , filter , constant_function, false , 20 , 0 , 11 ); - Persistence_heat_maps hm2( persistence2 , filter , constant_function, false , 20 , 0 , 11 ); + Persistence_heat_maps hm1( persistence1 , filter , false , 20 , 0 , 11 ); + Persistence_heat_maps hm2( persistence2 , filter , false , 20 , 0 , 11 ); - std::vector vector_of_maps; + std::vector*> vector_of_maps; vector_of_maps.push_back( &hm1 ); vector_of_maps.push_back( &hm2 ); //compute median/mean of a vector of heat maps: - Persistence_heat_maps mean; + Persistence_heat_maps mean; mean.compute_mean( vector_of_maps ); - Persistence_heat_maps median; + Persistence_heat_maps median; median.compute_median( vector_of_maps ); //to compute L^1 disance between hm1 and hm2: std::cout << "The L^1 distance is : " << hm1.distance( hm2 , 1 ) << std::endl; //to average of hm1 and hm2: - std::vector< Persistence_heat_maps* > to_average; + std::vector< Persistence_heat_maps* > to_average; to_average.push_back( &hm1 ); to_average.push_back( &hm2 ); - Persistence_heat_maps av; + Persistence_heat_maps av; av.compute_average( to_average ); //to compute scalar product of hm1 and hm2: diff --git a/src/Gudhi_stat/example/persistence_intervals.cpp b/src/Gudhi_stat/example/persistence_intervals.cpp index 5357def7..6e2b0ddb 100644 --- a/src/Gudhi_stat/example/persistence_intervals.cpp +++ b/src/Gudhi_stat/example/persistence_intervals.cpp @@ -23,7 +23,6 @@ #include -#include #include #include diff --git a/src/Gudhi_stat/example/persistence_landscape.cpp b/src/Gudhi_stat/example/persistence_landscape.cpp index 106864c0..7ba9387d 100644 --- a/src/Gudhi_stat/example/persistence_landscape.cpp +++ b/src/Gudhi_stat/example/persistence_landscape.cpp @@ -22,7 +22,6 @@ -#include #include diff --git a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp index 223c9d50..331ae4ae 100644 --- a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp +++ b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp @@ -22,7 +22,6 @@ -#include #include diff --git a/src/Gudhi_stat/include/gudhi/concretizations/PSSK.h b/src/Gudhi_stat/include/gudhi/concretizations/PSSK.h index 8168b7a7..e61711f4 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/PSSK.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/PSSK.h @@ -41,7 +41,7 @@ namespace Gudhi_stat * at (q,p) **/ -class PSSK : public Persistence_heat_maps +class PSSK : public Persistence_heat_maps { public: PSSK():Persistence_heat_maps(){} @@ -103,7 +103,7 @@ void PSSK::construct( const std::vector< std::pair >& intervals_ this->min_ = min_; this->max_ = max_; - this->scalling_function_with_respect_to_distance_from_diagonal = scalling_function_with_respect_to_distance_from_diagonal; + //initialization of the structure heat_map diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h index d2c1bfc9..f846ac08 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h @@ -122,26 +122,42 @@ std::vector< std::vector > create_Gaussian_filter( size_t pixel_radius , * (4) Scale them with **/ -double constant_function( const std::pair< double , double >& point_in_diagram ) -{ - return 1; -} +class constant_scaling_function +{ +public: + double operator()( const std::pair< double , double >& point_in_diagram ) + { + return 1; + } +}; -double distance_from_diagonal( const std::pair< double , double >& point_in_diagram ) +class distance_from_diagonal_scalling { - //(point_in_diagram.first+point_in_diagram.second)/2.0 - return sqrt( pow((point_in_diagram.first-(point_in_diagram.first+point_in_diagram.second)/2.0),2) + pow((point_in_diagram.second-(point_in_diagram.first+point_in_diagram.second)/2.0),2) ); -} +public: + double operator()( const std::pair< double , double >& point_in_diagram ) + { + //(point_in_diagram.first+point_in_diagram.second)/2.0 + return sqrt( pow((point_in_diagram.first-(point_in_diagram.first+point_in_diagram.second)/2.0),2) + pow((point_in_diagram.second-(point_in_diagram.first+point_in_diagram.second)/2.0),2) ); + } +}; -double squared_distance_from_diagonal( const std::pair< double , double >& point_in_diagram ) +class squared_distance_from_diagonal_scaling { - return pow((point_in_diagram.first-(point_in_diagram.first+point_in_diagram.second)/2.0),2) + pow((point_in_diagram.second-(point_in_diagram.first+point_in_diagram.second)/2.0),2); -} +public: + double operator()( const std::pair< double , double >& point_in_diagram ) + { + return pow((point_in_diagram.first-(point_in_diagram.first+point_in_diagram.second)/2.0),2) + pow((point_in_diagram.second-(point_in_diagram.first+point_in_diagram.second)/2.0),2); + } +}; -double arc_tan_of_persistence_of_point( const std::pair< double , double >& point_in_diagram ) +class arc_tan_of_persistence_of_point { - return atan( point_in_diagram.second - point_in_diagram.first ); -} +public: + double operator()( const std::pair< double , double >& point_in_diagram ) + { + return atan( point_in_diagram.second - point_in_diagram.first ); + } +}; class weight_by_setting_maximal_interval_to_have_length_one { @@ -159,6 +175,7 @@ private: /** * This class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product **/ +template class Persistence_heat_maps { public: @@ -167,7 +184,8 @@ public: **/ Persistence_heat_maps() { - this->scalling_function_with_respect_to_distance_from_diagonal = constant_function; + Scalling_of_kernels f; + this->f = f; this->erase_below_diagonal = false; this->min_ = this->max_ = 0; this->set_up_parameters_for_basic_classes(); @@ -177,13 +195,12 @@ public: * Construction that takes at the input the following parameters: * (1) A vector of pairs of doubles (representing persistence intervals). All other parameters are optional. They are: * (2) a Gausian filter generated by create_Gaussian_filter filter (the default value of this vaiable is a Gaussian filter of a radius 5), - * (3) a scaling function (constant by default). This function allows to put a different weights to points depending on their position, in particular, depending on their distance from diagonal, - * (4) a boolean value which determines if the area of image below diagonal should, or should not be erased (it will be erased by default). - * (5) a number of pixels in each direction (set to 1000 by default). - * (6) a min x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data, + * (3) a boolean value which determines if the area of image below diagonal should, or should not be erased (it will be erased by default). + * (4) a number of pixels in each direction (set to 1000 by default). + * (5) a min x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data, * (6) a max x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data. **/ - Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); + Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); /** * Construction that takes at the input a name of a file with persistence intervals, a filter (radius 5 by default), a scaling function (constant by default), a boolean value which determines if the area of image below diagonal should, or should not be erased (should by default). The next parameter is the number of pixels in each direction (set to 1000 by default). and min and max values of images (both set to -1 by defaulet. If this is the case, the program will pick the right values based on the data). @@ -191,14 +208,13 @@ public: /** * Construction that takes at the input the following parameters: * (1) A a name of a file with persistence intervals. The file shold be readable by the function read_standard_file. All other parameters are optional. They are: - * (2) a Gausian filter generated by create_Gaussian_filter filter (the default value of this vaiable is a Gaussian filter of a radius 5), - * (3) a scaling function (constant by default). This function allows to put a different weights to points depending on their position, in particular, depending on their distance from diagonal, - * (4) a boolean value which determines if the area of image below diagonal should, or should not be erased (it will be erased by default). - * (5) a number of pixels in each direction (set to 1000 by default). - * (6) a min x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data, + * (2) a Gausian filter generated by create_Gaussian_filter filter (the default value of this vaiable is a Gaussian filter of a radius 5), + * (3) a boolean value which determines if the area of image below diagonal should, or should not be erased (it will be erased by default). + * (4) a number of pixels in each direction (set to 1000 by default). + * (5) a min x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data, * (6) a max x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data. **/ - Persistence_heat_maps( const char* filename , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ) = constant_function, bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); + Persistence_heat_maps( const char* filename , std::vector< std::vector > filter = create_Gaussian_filter(5,1), bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); /** @@ -368,7 +384,7 @@ protected: size_t number_of_functions_for_projections_to_reals; void construct( const std::vector< std::pair >& intervals_ , std::vector< std::vector > filter = create_Gaussian_filter(5,1), - double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ) = constant_function, + bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); void set_up_parameters_for_basic_classes() @@ -378,7 +394,8 @@ protected: } //data - double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ); + //double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ); + Scalling_of_kernels f; bool erase_below_diagonal; double min_; double max_; @@ -387,13 +404,15 @@ protected: //if min_ == max_, then the program is requested to set up the values itself based on persistence intervals -void Persistence_heat_maps::construct( const std::vector< std::pair >& intervals_ , - std::vector< std::vector > filter, - double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ), +template +void Persistence_heat_maps::construct( const std::vector< std::pair >& intervals_ , + std::vector< std::vector > filter, bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) { bool dbg = false; if ( dbg )std::cerr << "Entering construct procedure \n"; + Scalling_of_kernels f; + this->f = f; if ( min_ == max_ ) { @@ -423,9 +442,7 @@ void Persistence_heat_maps::construct( const std::vector< std::pairmin_ = min_; - this->max_ = max_; - this->scalling_function_with_respect_to_distance_from_diagonal = scalling_function_with_respect_to_distance_from_diagonal; - + this->max_ = max_; //initialization of the structure heat_map std::vector< std::vector > heat_map_; @@ -463,7 +480,7 @@ void Persistence_heat_maps::construct( const std::vector< std::pairscalling_function_with_respect_to_distance_from_diagonal(intervals_[pt_nr]); + double scaling_value = this->f(intervals_[pt_nr]); for ( size_t i = 0 ; i != filter.size() ; ++i ) @@ -502,30 +519,29 @@ void Persistence_heat_maps::construct( const std::vector< std::pair > & interval , +template +Persistence_heat_maps::Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter, - double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ), bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) { - this->construct( interval , filter , scalling_function_with_respect_to_distance_from_diagonal, erase_below_diagonal , number_of_pixels , min_ , max_ ); + this->construct( interval , filter , erase_below_diagonal , number_of_pixels , min_ , max_ ); this->set_up_parameters_for_basic_classes(); } -Persistence_heat_maps::Persistence_heat_maps( const char* filename , - std::vector< std::vector > filter, - double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ), +template +Persistence_heat_maps::Persistence_heat_maps( const char* filename , + std::vector< std::vector > filter, bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) { std::vector< std::pair< double , double > > intervals_ = read_standard_file( filename ); - this->construct( intervals_ , filter , scalling_function_with_respect_to_distance_from_diagonal, erase_below_diagonal , number_of_pixels , min_ , max_ ); + this->construct( intervals_ , filter, erase_below_diagonal , number_of_pixels , min_ , max_ ); this->set_up_parameters_for_basic_classes(); } - -std::vector< std::vector > Persistence_heat_maps::check_and_initialize_maps( const std::vector& maps ) +template +std::vector< std::vector > Persistence_heat_maps::check_and_initialize_maps( const std::vector& maps ) { //checking if all the heat maps are of the same size: for ( size_t i = 0 ; i != maps.size() ; ++i ) @@ -550,8 +566,8 @@ std::vector< std::vector > Persistence_heat_maps::check_and_initialize_m return heat_maps; } - -void Persistence_heat_maps::compute_median( const std::vector& maps ) +template +void Persistence_heat_maps::compute_median( const std::vector& maps ) { std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); @@ -574,8 +590,8 @@ void Persistence_heat_maps::compute_median( const std::vector& maps ) +template +void Persistence_heat_maps::compute_mean( const std::vector& maps ) { std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); for ( size_t i = 0 ; i != heat_maps.size() ; ++i ) @@ -597,8 +613,8 @@ void Persistence_heat_maps::compute_mean( const std::vector& maps , size_t cutoff ) +template +void Persistence_heat_maps::compute_percentage_of_active( const std::vector& maps , size_t cutoff ) { std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); @@ -627,8 +643,8 @@ void Persistence_heat_maps::compute_percentage_of_active( const std::vector +void Persistence_heat_maps::plot( const char* filename ) { ofstream out; std::stringstream ss; @@ -649,8 +665,8 @@ void Persistence_heat_maps::plot( const char* filename ) } - -void Persistence_heat_maps::print_to_file( const char* filename ) +template +void Persistence_heat_maps::print_to_file( const char* filename ) { ofstream out; @@ -669,8 +685,8 @@ void Persistence_heat_maps::print_to_file( const char* filename ) out.close(); } - -void Persistence_heat_maps::load_from_file( const char* filename ) +template +void Persistence_heat_maps::load_from_file( const char* filename ) { bool dbg = false; @@ -728,8 +744,9 @@ void Persistence_heat_maps::load_from_file( const char* filename ) } -//Concretizations of virtual methods: -std::vector Persistence_heat_maps::vectorize( int number_of_function ) +//Concretizations of virtual methods: +template +std::vector Persistence_heat_maps::vectorize( int number_of_function ) { //convert this->heat_map into one large vector: size_t size_of_result = 0; @@ -752,7 +769,8 @@ std::vector Persistence_heat_maps::vectorize( int number_of_function ) return result; } -double Persistence_heat_maps::distance( const Persistence_heat_maps& second , double power ) +template +double Persistence_heat_maps::distance( const Persistence_heat_maps& second , double power ) { //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: if ( !this->check_if_the_same(second) ) @@ -774,7 +792,8 @@ double Persistence_heat_maps::distance( const Persistence_heat_maps& second , do return distance; } -double Persistence_heat_maps::project_to_R( int number_of_function ) +template +double Persistence_heat_maps::project_to_R( int number_of_function ) { double result = 0; for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) @@ -787,12 +806,14 @@ double Persistence_heat_maps::project_to_R( int number_of_function ) return result; } -void Persistence_heat_maps::compute_average( const std::vector< Persistence_heat_maps* >& to_average ) +template +void Persistence_heat_maps::compute_average( const std::vector< Persistence_heat_maps* >& to_average ) { this->compute_mean( to_average ); } -double Persistence_heat_maps::compute_scalar_product( const Persistence_heat_maps& second ) +template +double Persistence_heat_maps::compute_scalar_product( const Persistence_heat_maps& second ) { //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: if ( !this->check_if_the_same(second) ) diff --git a/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h b/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h index 0a740996..953547c7 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h @@ -105,7 +105,7 @@ std::vector< std::pair< double,double > > read_file_names_that_may_contain_inf_s /** * This procedure reads names of files which are stored in a file. **/ -std::vector< std::string > readFileNames( char* filenameWithFilenames ) +std::vector< std::string > readFileNames( const char* filenameWithFilenames ) { bool dbg = false; diff --git a/src/Gudhi_stat/include/gudhi/topological_process.h b/src/Gudhi_stat/include/gudhi/topological_process.h index d8d8e696..729ef2f8 100644 --- a/src/Gudhi_stat/include/gudhi/topological_process.h +++ b/src/Gudhi_stat/include/gudhi/topological_process.h @@ -20,12 +20,8 @@ * along with this program. If not, see . */ -#ifndef PERMUTATION_TEST_H -#define PERMUTATION_TEST_H -//abstract classes: -#include -#include -#include +#ifndef TOPOLOGICAL_PROCESS_H +#define TOPOLOGICAL_PROCESS_H //concretizations @@ -41,14 +37,48 @@ namespace Gudhi { namespace Gudhi_stat { + + +template +std::vector< Representation* > construct_representation_from_file( const char* filename ) +{ + bool dbg = false; + std::vector< std::string > files = readFileNames( filename ); + + std::cout << "Here are the filenames in the file : " << filename << std::endl; + for ( size_t i = 0 ; i != files.size() ; ++i ) + { + std::cout << files[i] << std::endl; + } + + std::vector< Representation* > result( files.size() ); + for ( size_t i = 0 ; i != files.size() ; ++i ) + { + std::vector< std::pair< double , double > > diag = read_standard_file( files[i].c_str() ); + + if ( dbg ) + { + std::cerr << "Here is a diagram from a file : " << files[i].c_str() << std::endl; + for ( size_t aa = 0 ; aa != diag.size() ; ++aa ) + { + std::cout << diag[aa].first << " " << diag[aa].second << std::endl; + } + getchar(); + } + + Representation* l = new Representation( diag ); + result[i] = l; + } + return result; +} + template class Topological_process { public: Topological_process(); - Topological_process( const std::vetor< Representation* >& data_ ):data(data_){} - Topological_process( const char* filename );//we assume that the filename contains a list of files with the diagrams. + Topological_process( const std::vector< Representation* >& data_ ):data(data_){} double distance( const Topological_process& second ) { if ( this->data.size() != second.data.size() ) @@ -58,12 +88,12 @@ public: double result = 0; for ( size_t i = 0 ; i != this->data.size() ; ++i ) { - result += this->data[i].distance( secod.data[i] ); + result += this->data[i]->distance( *second.data[i] ); } return result; } - compute_average( const std::vector< Representation* >& to_average ) + void compute_average( const std::vector< Representation* >& to_average ) { //since we will substitute whatever data we have in this object with an average, we clear the data in this object first: this->data.clear(); @@ -80,20 +110,10 @@ public: //scalar products? //confidence bounds? private: - std::vetor< Representation* > data; + std::vector< Representation* > data; }; -template -Topological_process::Topological_process( const char* filename ) -{ - std::vector< std::string > filenames = readFileNames( filename ); - this->data.reserve( filenames.size() ); - for ( size_t file = 0 ; file != filenames.size() ; ++file ) - { - std::vector< std::pair > intervals_in_this_file = read_file_names_that_may_contain_inf_string( filenames[i] ); - this-data[i] = new Representation( intervals_in_this_file ); - } -} + }//Gudhi_stat }//Gudhi diff --git a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp index d9cba466..e46e45d3 100644 --- a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp +++ b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp @@ -26,7 +26,6 @@ #define BOOST_TEST_MODULE "gudhi_stat" #include #include -#include #include #include @@ -44,10 +43,10 @@ using namespace std; 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 , constant_function, false , 1000 , 0 , 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; + Persistence_heat_maps q; q.load_from_file( "data/persistence_heat_map_from_file_with_diagram" ); BOOST_CHECK( p == q ); @@ -57,18 +56,18 @@ BOOST_AUTO_TEST_CASE(check_construction_of_heat_maps) 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 , constant_function, false , 1000 , 0 , 10 ); - Persistence_heat_maps q( "data/file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 10 ); - Persistence_heat_maps r( "data/file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 10 ); + 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 ); - std::vector< Persistence_heat_maps* > to_average; + std::vector< Persistence_heat_maps* > to_average; to_average.push_back( &p ); to_average.push_back( &q ); to_average.push_back( &r ); - Persistence_heat_maps av; + Persistence_heat_maps av; av.compute_average( to_average ); - Persistence_heat_maps template_average; + Persistence_heat_maps template_average; template_average.load_from_file( "data/template_average_of_heat_maps" ); BOOST_CHECK( av == template_average ); @@ -78,18 +77,18 @@ BOOST_AUTO_TEST_CASE(check_averages_of_heat_maps) 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 , constant_function, false , 1000 , 0 , 1 ); - Persistence_heat_maps q( "data/file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); - Persistence_heat_maps r( "data/file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 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; + 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; + Persistence_heat_maps median; median.compute_median( to_compute_median ); - Persistence_heat_maps template_median; + Persistence_heat_maps template_median; template_median.load_from_file( "data/template_median_of_heat_maps" ); BOOST_CHECK( median == template_median ); @@ -99,18 +98,18 @@ BOOST_AUTO_TEST_CASE(check_median_of_heat_maps) 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 , constant_function, false , 1000 , 0 , 1 ); - Persistence_heat_maps q( "data/file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); - Persistence_heat_maps r( "data/file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 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; + 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; + 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; + 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 ); @@ -119,7 +118,7 @@ BOOST_AUTO_TEST_CASE(check_compute_percentage_of_active_of_heat_maps) 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 , constant_function, false , 5 , 0 , 1 ); + Persistence_heat_maps p( "data/file_with_diagram" , filter , false , 5 , 0 , 1 ); std::vector p_vect_template; @@ -160,9 +159,9 @@ BOOST_AUTO_TEST_CASE(check_vectorize_for_heat_maps) 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 , constant_function, false , 1000 , 0 , 1 ); - Persistence_heat_maps q( "data/file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); - Persistence_heat_maps r( "data/file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 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; @@ -193,9 +192,9 @@ BOOST_AUTO_TEST_CASE(check_distance_for_heat_maps) 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 , constant_function, false , 1000 , 0 , 1 ); - Persistence_heat_maps q( "data/file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); - Persistence_heat_maps r( "data/file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 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; @@ -210,9 +209,9 @@ BOOST_AUTO_TEST_CASE(check_projections_to_R_for_heat_maps) 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 , constant_function, false , 1000 , 0 , 1 ); - Persistence_heat_maps q( "data/file_with_diagram_1" , filter , constant_function, false , 1000 , 0 , 1 ); - Persistence_heat_maps r( "data/file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 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; diff --git a/src/Gudhi_stat/test/persistence_intervals_test.cpp b/src/Gudhi_stat/test/persistence_intervals_test.cpp index f86300fa..02af8347 100644 --- a/src/Gudhi_stat/test/persistence_intervals_test.cpp +++ b/src/Gudhi_stat/test/persistence_intervals_test.cpp @@ -26,7 +26,6 @@ #define BOOST_TEST_MODULE "gudhi_stat" #include #include -#include #include "gudhi/concretizations/Persistence_intervals.h" #include diff --git a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp index 17ed9fde..87ed0241 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp @@ -26,7 +26,6 @@ #define BOOST_TEST_MODULE "gudhi_stat" #include #include -#include #include #include diff --git a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp index 9ec7f880..eb00a718 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp @@ -26,7 +26,6 @@ #define BOOST_TEST_MODULE "gudhi_stat" #include #include -#include #include #include diff --git a/src/Gudhi_stat/utilities/CMakeLists.txt b/src/Gudhi_stat/utilities/CMakeLists.txt index e97c5708..f94c47ea 100644 --- a/src/Gudhi_stat/utilities/CMakeLists.txt +++ b/src/Gudhi_stat/utilities/CMakeLists.txt @@ -104,3 +104,5 @@ target_link_libraries(persistence_vectors/plot_persistence_vectors ${Boost_SYSTE add_executable ( permutation_test permutation_test.cpp ) target_link_libraries(permutation_test ${Boost_SYSTEM_LIBRARY}) +add_executable ( topological_process topological_process.cpp ) +target_link_libraries(topological_process ${Boost_SYSTEM_LIBRARY}) diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp index a3094e07..3ef863c6 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp @@ -49,15 +49,15 @@ int main( int argc , char** argv ) } std::cout << "Creating persistence landscapes...\n"; - std::vector< Persistence_heat_maps* > maps; + std::vector< Persistence_heat_maps* > maps; for ( size_t i = 0 ; i != filenames.size() ; ++i ) { - Persistence_heat_maps* l = new Persistence_heat_maps; + Persistence_heat_maps* l = new Persistence_heat_maps; l->load_from_file( filenames[i] ); maps.push_back( l ); } - Persistence_heat_maps av; + Persistence_heat_maps av; av.compute_average( maps ); av.print_to_file( "average.mps" ); diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp index bfe2a7ab..efe4ec3d 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp @@ -51,11 +51,11 @@ int main( int argc , char** argv ) { filenames.push_back( argv[i] ); } - std::vector< Persistence_heat_maps > maps; + std::vector< Persistence_heat_maps > maps; maps.reserve( filenames.size() ); for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) { - Persistence_heat_maps l; + Persistence_heat_maps l; l.load_from_file( filenames[file_no] ); maps.push_back( l ); } diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp index d6899d1e..4caf30af 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp @@ -42,11 +42,11 @@ int main( int argc , char** argv ) { filenames.push_back( argv[i] ); } - std::vector< Persistence_heat_maps > maps; + std::vector< Persistence_heat_maps > maps; maps.reserve( filenames.size() ); for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) { - Persistence_heat_maps l; + Persistence_heat_maps l; l.load_from_file( filenames[file_no] ); maps.push_back( l ); } diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp index b300d350..d5f5d75f 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp @@ -67,7 +67,7 @@ int main( int argc , char** argv ) for ( size_t i = 0 ; i != filenames.size() ; ++i ) { std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; - Persistence_heat_maps l( filenames[i] , filter, constant_function, false , size_of_grid , min_ , max_ ); + Persistence_heat_maps l( filenames[i] , filter, false , size_of_grid , min_ , max_ ); std::stringstream ss; ss << filenames[i] << ".mps"; diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp index 3ce0fcec..6c306566 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp @@ -67,7 +67,7 @@ int main( int argc , char** argv ) for ( size_t i = 0 ; i != filenames.size() ; ++i ) { std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; - Persistence_heat_maps l( filenames[i] , filter, arc_tan_of_persistence_of_point, false , size_of_grid , min_ , max_ ); + Persistence_heat_maps l( filenames[i] , filter, false , size_of_grid , min_ , max_ ); std::stringstream ss; ss << filenames[i] << ".mps"; diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp index 4738d946..f2e19508 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp @@ -66,7 +66,7 @@ int main( int argc , char** argv ) for ( size_t i = 0 ; i != filenames.size() ; ++i ) { std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; - Persistence_heat_maps l( filenames[i] , filter, distance_from_diagonal, false , size_of_grid , min_ , max_ ); + Persistence_heat_maps l( filenames[i] , filter , size_of_grid , min_ , max_ ); std::stringstream ss; ss << filenames[i] << ".mps"; diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp index 8dab998a..91b3fb22 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp @@ -66,7 +66,7 @@ int main( int argc , char** argv ) for ( size_t i = 0 ; i != filenames.size() ; ++i ) { std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; - Persistence_heat_maps l( filenames[i] , filter, squared_distance_from_diagonal, false , size_of_grid , min_ , max_ ); + Persistence_heat_maps l( filenames[i] , filter, false , size_of_grid , min_ , max_ ); std::stringstream ss; ss << filenames[i] << ".mps"; diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp index c4eed502..39a46adb 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp @@ -35,7 +35,7 @@ using namespace Gudhi::Gudhi_stat; int main( int argc , char** argv ) { std::cout << "This program plot persistence landscape stored in a file (the file needs to be created beforehand). Please call the code with the name of a landsape file \n"; - Persistence_heat_maps l; + Persistence_heat_maps l; l.load_from_file( argv[1] ); l.plot( argv[1] ); return 0; -- cgit v1.2.3 From 05c4c86f272bfa4f50a512f3db112557e81eb30d Mon Sep 17 00:00:00 2001 From: pdlotko Date: Wed, 16 Nov 2016 10:26:46 +0000 Subject: multiplicative bootstrap once more git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1754 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 771b4fdaac86a54eaed1393ba66dd70e664376e4 --- src/Gudhi_stat/example/vector_representation.cpp | 14 +- src/Gudhi_stat/include/gudhi/Hausdorff_distances.h | 142 ++++++++++ .../Abs_Real_valued_topological_data.h | 54 ---- .../gudhi/abstract_classes/Abs_Topological_data.h | 47 ---- .../Abs_Topological_data_with_averages.h | 62 ----- .../Abs_Topological_data_with_distances.h | 52 ---- .../Abs_Topological_data_with_scalar_product.h | 50 ---- .../Abs_Vectorized_topological_data.h | 56 ---- src/Gudhi_stat/include/gudhi/bootstrap.h | 143 ++++++++++ .../gudhi/concretizations/Persistence_heat_maps.h | 58 ++-- .../gudhi/concretizations/Persistence_intervals.h | 100 ++++--- .../gudhi/concretizations/Persistence_landscape.h | 72 ++++- .../Persistence_landscape_on_grid.h | 92 ++++++- .../concretizations/Vector_distances_in_diagram.h | 75 ++++-- .../concretizations/read_persitence_from_file.h | 39 +++ .../include/gudhi/multiplicative_bootstrap.h | 140 ++++++++++ src/Gudhi_stat/include/gudhi/permutation_test.h | 31 ++- src/Gudhi_stat/include/gudhi/topological_process.h | 292 ++++++++++++++++++++- src/Gudhi_stat/test/vector_representation_test.cpp | 26 +- src/Gudhi_stat/utilities/CMakeLists.txt | 10 + src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp | 2 +- src/Gudhi_stat/utilities/Landscape_bootstrap.cpp | 2 +- .../utilities/Multiplicative_bootstrap.cpp | 69 +++++ 23 files changed, 1174 insertions(+), 454 deletions(-) create mode 100644 src/Gudhi_stat/include/gudhi/Hausdorff_distances.h delete mode 100644 src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Real_valued_topological_data.h delete mode 100644 src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data.h delete mode 100644 src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_averages.h delete mode 100644 src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_distances.h delete mode 100644 src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_scalar_product.h delete mode 100644 src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Vectorized_topological_data.h create mode 100644 src/Gudhi_stat/include/gudhi/bootstrap.h create mode 100644 src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h create mode 100644 src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/vector_representation.cpp b/src/Gudhi_stat/example/vector_representation.cpp index 835b52f9..bb4b5d01 100644 --- a/src/Gudhi_stat/example/vector_representation.cpp +++ b/src/Gudhi_stat/example/vector_representation.cpp @@ -57,16 +57,16 @@ int main( int argc , char** argv ) persistence2.push_back( std::make_pair(6,10) ); //create two persistence vectors based on persistence1 and persistence2: - Vector_distances_in_diagram > v1 = Vector_distances_in_diagram >( persistence1 , std::numeric_limits::max() ); - Vector_distances_in_diagram > v2 = Vector_distances_in_diagram >( persistence2 , std::numeric_limits::max() ); + Vector_distances_in_diagram > v1 = Vector_distances_in_diagram >( persistence1 , std::numeric_limits::max() ); + Vector_distances_in_diagram > v2 = Vector_distances_in_diagram >( persistence2 , std::numeric_limits::max() ); //writing to a stream: std::cout << "v1 : " << v1 << std::endl; std::cout << "v2 : " << v2 << std::endl; //averages: - Vector_distances_in_diagram > average; - std::vector< Vector_distances_in_diagram >* > to_average; + Vector_distances_in_diagram > average; + std::vector< Vector_distances_in_diagram >* > to_average; to_average.push_back( &v1 ); to_average.push_back( &v2 ); average.compute_average( to_average ); @@ -94,7 +94,7 @@ int main( int argc , char** argv ) return 1; } - Vector_distances_in_diagram< euclidean_distance > p( argv[1] , 100 ); + Vector_distances_in_diagram< Euclidean_distance > p( argv[1] , 100 ); cout << "This is a vector corresponding to the input persistence diagram : \n"; cout << p << endl; @@ -102,7 +102,7 @@ int main( int argc , char** argv ) if ( argc == 3 ) { - Vector_distances_in_diagram< euclidean_distance > p_prime( argv[2] , 100); + Vector_distances_in_diagram< Euclidean_distance > p_prime( argv[2] , 100); cout << "p_prime : " < > average; + Vector_distances_in_diagram< Euclidean_distance > average; average.compute_average( to_average ); cout << "Here is an average : " << average << endl; diff --git a/src/Gudhi_stat/include/gudhi/Hausdorff_distances.h b/src/Gudhi_stat/include/gudhi/Hausdorff_distances.h new file mode 100644 index 00000000..de39ad7d --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/Hausdorff_distances.h @@ -0,0 +1,142 @@ +/* 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 . + */ + +#ifndef HAUSDORFF_DISTANCES_H +#define HAUSDORFF_DISTANCES_H + +#include +#include +#include +#include +#include + + +/** + * This file contains various implementations of Hausrodff distances between collections of points. It contains various implementations that can be used for specific case. +**/ + +/** + * The implementation below works for a case of a metric space given by a distance matrix, and a subspace of a metric space. Our task is to find a Hausdorff distance between the subspace and the whole space. + * The input is a distance matrix (lower triangular part) and a vector of bools indicating a subspace (elementss set to true belongs to the space, the elements set to false do not). +**/ +class Hausdorff_distance_between_subspace_and_the_whole_metric_space +{ +public: + Hausdorff_distance_between_subspace_and_the_whole_metric_space( const std::vector< std::vector >& distance_matrix ):distance_matrix(distance_matrix){} + double operator()( const std::vector< bool >& is_subspace ) + { + double maximal_distance = -std::numeric_limits::max(); + for ( size_t j = 0 ; j != this->distance_matrix.size() ; ++j ) + { + double minimal_distance = std::numeric_limits::max(); + for ( size_t i = 0 ; i != this->distance_matrix.size() ; ++i ) + { + if ( !is_subspace[i] )continue; + double distance = 0; + if ( i < j ) + { + distance = this->distance_matrix[i][j]; + } + else + { + if ( i > j )distance = this->distance_matrix[j][i]; + } + if ( distance > minimal_distance )minimal_distance = distance; + } + if ( maximal_distance < minimal_distance )maximal_distance = minimal_distance; + } + return maximal_distance; + }//Hausdorff_distance_between_subspace_and_the_whole_metric_space + + double operator()( const std::vector< size_t >& subspace , const std::vector< size_t >& space = std::vector< size_t >() ) + { + bool dbg = false; + if ( dbg ) + { + std::cerr << "Calling double operator()( const std::vector< size_t >& subspace , const std::vector< size_t >& space = std::vector< size_t >() ) method \n"; + std::cerr << "subspace.size() : " << subspace.size() << std::endl; + } + double maximal_distance = -std::numeric_limits::max(); + for ( size_t j = 0 ; j != this->distance_matrix.size() ; ++j ) + { + double minimal_distance = std::numeric_limits::max(); + for ( size_t i = 0 ; i != subspace.size() ; ++i ) + { + double distance = 0; + if ( subspace[i] < j ) + { + distance = this->distance_matrix[ j ][ subspace[i] ]; + } + else + { + if ( subspace[i] > j )distance = this->distance_matrix[ subspace[i] ][ j ]; + } + if ( distance < minimal_distance )minimal_distance = distance; + } + if ( maximal_distance < minimal_distance )maximal_distance = minimal_distance; + } + if ( dbg ) + { + std::cerr << "maximal_distance : " << maximal_distance << std::endl; + getchar(); + } + return maximal_distance; + }//Hausdorff_distance_between_subspace_and_the_whole_metric_space +private: + const std::vector< std::vector >& distance_matrix; +}; + +template +std::vector< std::vector > compute_all_to_all_distance_matrix_between_points( const std::vector< PointType >& points ) +{ + bool dbg = false; + std::vector< std::vector > result; + result.reserve( points.size() ); + distanceFunction f; + for ( size_t i = 0 ; i != points.size() ; ++i ) + { + std::vector this_row; + this_row.reserve( i ); + for ( size_t j = 0 ; j != i ; ++j ) + { + double distance = f( points[i] , points[j] ); + if ( dbg ){std::cerr << "The distance between point : " << i << " and the point : " << j << " is :" << distance << std::endl;} + this_row.push_back( distance ); + } + result.push_back( this_row ); + } + return result; +}//compute_all_to_all_distance_matrix_between_points + +template +class identity +{ +public: + T& operator()( T& org ) + { + return org; + } +}; + + + +#endif diff --git a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Real_valued_topological_data.h b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Real_valued_topological_data.h deleted file mode 100644 index 09c2cf85..00000000 --- a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Real_valued_topological_data.h +++ /dev/null @@ -1,54 +0,0 @@ -/* 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 . - */ - -#ifndef Abs_Real_valued_topological_data_H_ -#define Abs_Real_valued_topological_data_H_ - -#include - -namespace Gudhi -{ -namespace Gudhi_stat -{ - - - -/** -* This is specialization of a topological data class allows computing various real-valued characterizations of topological data. -**/ - -class Abs_Real_valued_topological_data : public virtual Abs_Topological_data -{ -public: - Abs_Real_valued_topological_data():number_of_functions_for_projections_to_reals(0){} - Abs_Real_valued_topological_data( size_t number_of_functions_ ):number_of_functions_for_projections_to_reals(number_of_functions_){} - size_t number_of_projections_to_R(){return this->number_of_functions_for_projections_to_reals;}; - virtual double project_to_R( int number_of_function ) = 0; - virtual ~Abs_Real_valued_topological_data(){} -protected: - size_t number_of_functions_for_projections_to_reals; -}; - -}//namespace Gudhi_stat -}//namespace Gudhi - -#endif diff --git a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data.h b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data.h deleted file mode 100644 index e38ae2df..00000000 --- a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data.h +++ /dev/null @@ -1,47 +0,0 @@ -/* 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 . - */ - -#ifndef ABS_Topological_data_H_ -#define ABS_Topological_data_H_ - - - -namespace Gudhi -{ -namespace Gudhi_stat -{ - -/** -* This is an abstract container to store topological information. Most typically, this information will be some representation of persistent homology. -**/ - -class Abs_Topological_data -{ -//public: -// Abs_Topological_data(){}; -//protected: -}; - -}//namespace Gudhi_stat -}//namespace Gudhi - -#endif diff --git a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_averages.h b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_averages.h deleted file mode 100644 index cc2cd00f..00000000 --- a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_averages.h +++ /dev/null @@ -1,62 +0,0 @@ - -/* 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 . - */ - -#ifndef Abs_Topological_data_with_averages_H_ -#define Abs_Topological_data_with_averages_H_ -#include -#include - - -namespace Gudhi -{ -namespace Gudhi_stat -{ - -/** -* This is an abstract container to store topological information. Most typically, this information will be some representation of persistent homology. -**/ - -class Abs_Topological_data_with_averages : public virtual Abs_Topological_data -{ -public: - Abs_Topological_data_with_averages(){}; - - //options: - //1) Function returns void, take std::vector< Abs_Topological_data_with_averages* > and change the object underneeth to the average of this vector. - //2) Function returns Abs_Topological_data*, and compute the average of all the objects in the vector, plus (*this). - //virtual Abs_Topological_data* compute_average( std::vector< Abs_Topological_data_with_averages* > to_average ) = 0; - //At the moment I will try to implement option (1). - virtual void compute_average( const std::vector< Abs_Topological_data_with_averages* >& to_average ) = 0; - virtual ~Abs_Topological_data_with_averages(){} -protected: -}; - - -}//namespace Gudhi_stat -}//namespace Gudhi - - - - - -#endif diff --git a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_distances.h b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_distances.h deleted file mode 100644 index 5b683268..00000000 --- a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_distances.h +++ /dev/null @@ -1,52 +0,0 @@ -/* 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 . - */ - -#ifndef Abs_Topological_data_with_distances_H_ -#define Abs_Topological_data_with_distances_H_ - -//#include "Abs_Topological_data.h" -#include - - -namespace Gudhi -{ -namespace Gudhi_stat -{ - - -/** -* This is an abstract container to store topological information. Most typically, this information will be some representation of persistent homology. -**/ - -class Abs_Topological_data_with_distances : public virtual Abs_Topological_data -{ -public: - Abs_Topological_data_with_distances(){}; - virtual double distance( const Abs_Topological_data_with_distances* second , double power = 1) = 0; - virtual ~Abs_Topological_data_with_distances(){} -protected: -}; - -}//namespace Gudhi_stat -}//namespace Gudhi - -#endif diff --git a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_scalar_product.h b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_scalar_product.h deleted file mode 100644 index ccda5e63..00000000 --- a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Topological_data_with_scalar_product.h +++ /dev/null @@ -1,50 +0,0 @@ -/* 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 . - */ - -#ifndef Abs_Topological_data_with_scalar_product_H_ -#define Abs_Topological_data_with_scalar_product_H_ - -#include -#include - -namespace Gudhi -{ -namespace Gudhi_stat -{ - -/** -* This is an abstract container to store topological information. Most typically, this information will be some representation of persistent homology. -**/ - -class Abs_Topological_data_with_scalar_product : public virtual Abs_Topological_data -{ -public: - Abs_Topological_data_with_scalar_product(){}; - virtual double compute_scalar_product( const Abs_Topological_data_with_scalar_product* second ) = 0; - virtual ~Abs_Topological_data_with_scalar_product(){} -protected: -}; - -}//namespace Gudhi_stat -}//namespace Gudhi - -#endif diff --git a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Vectorized_topological_data.h b/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Vectorized_topological_data.h deleted file mode 100644 index 2f352428..00000000 --- a/src/Gudhi_stat/include/gudhi/abstract_classes/Abs_Vectorized_topological_data.h +++ /dev/null @@ -1,56 +0,0 @@ -/* 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 . - */ - -#ifndef Abs_Vectorized_topological_data_H_ -#define Abs_Vectorized_topological_data_H_ - -#include -#include "Abs_Topological_data.h" -#include - -namespace Gudhi -{ -namespace Gudhi_stat -{ -using namespace std; - -/** -* This is specialization of a topological data class that allows to create vectors based on topological data. -**/ - -class Abs_Vectorized_topological_data : public virtual Abs_Topological_data -{ -public: - Abs_Vectorized_topological_data():where_to_cut(10){} - Abs_Vectorized_topological_data( size_t where_to_cut ):where_to_cut(where_to_cut){} - size_t number_of_vectorize_functions(){return number_of_functions_for_vectorization;} - virtual std::vector vectorize( int number_of_function ) = 0; - virtual ~Abs_Vectorized_topological_data(){} -protected: - size_t number_of_functions_for_vectorization; - size_t where_to_cut; -}; - -}//namespace Gudhi_stat -}//namespace Gudhi - -#endif diff --git a/src/Gudhi_stat/include/gudhi/bootstrap.h b/src/Gudhi_stat/include/gudhi/bootstrap.h new file mode 100644 index 00000000..ca40f9c7 --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/bootstrap.h @@ -0,0 +1,143 @@ +/* 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 . + */ + +#ifndef BOOTSTRAP_H +#define BOOTSTRAP_H + +//concretizations +#include +#include +#include +#include + +#ifdef GUDHI_USE_TBB +#include +#endif + +#include +#include +#include +#include +#include + +/** +* This is a generic function to perform bootstrap. +* In this function we assume that there is a class to compute characteristic of collection of points (PointCloudCharacteristics) and that it stores coordinates of all points. It allows to compute the characteristic +* of the whole point cloud (by using CharacteristicFunction) or of it proper subset of the whole point cloud (given the list of numers of points in the subset). +* Both functionalities will be used in this implementation. +* The characteristic of point cloud, may be the poit cloud itself, its persistence diagram in a fixed dimension, or anything else. We only assume that space of points characteristics is a metric space +* and that we can compute a distance between two characteristics of collections of points by using DistanceBetweenPointsCharacteristics function. +**/ + + +template < typename PointCloudCharacteristics , typename CharacteristicFunction , typename DistanceBetweenPointsCharacteristics > +double bootstrap( size_t number_of_points , CharacteristicFunction f , DistanceBetweenPointsCharacteristics distance , size_t number_of_repetitions , size_t size_of_subsample , double quantile = 0.95 ) +{ + bool dbg = false; + + if ( size_of_subsample >= number_of_points ) + { + std::cerr << "Size of subsample is greater or equal to the number of points. The bootstrap procedure do not make sense in this case. \n"; + return 0; + } + + //initialization of a random number generator: + std::srand ( unsigned ( std::time(0) ) ); + + //we will shuffle the vector of numbers 0,1,2,...,points.size()-1 in order to pick a subset of a size size_of_subsample + std::vector< size_t > numbers_to_sample( number_of_points ); + for ( size_t i = 0 ; i != number_of_points ; ++i ) + { + numbers_to_sample[i] = i; + } + + //now we compute the characteristic od all the points: + PointCloudCharacteristics characteristic_of_all_points = f( numbers_to_sample ); + + //vector to keep the distances between characteristic_of_points and characteristic_of_subsample: + std::vector< double > vector_of_distances( number_of_repetitions , 0 ); + + + + #ifdef GUDHI_USE_TBB + tbb::parallel_for ( tbb::blocked_range(0, number_of_repetitions), [&](const tbb::blocked_range& range) + { + for ( size_t it_no = range.begin() ; it_no != range.end() ; ++it_no ) + #else + for ( size_t it_no = 0 ; it_no < number_of_repetitions ; ++it_no ) + #endif + { + if ( dbg ) + { + std::cout << "Still : " << number_of_repetitions-it_no << " tests to go. \n The subsampled vector consist of points number : "; + } + //do a random shuffle of vector_of_characteristics_of_poits + std::random_shuffle( numbers_to_sample.begin() , numbers_to_sample.end() ); + + //construct a vector< PointType > of a size size_of_subsample: + std::vector< size_t > subsampled_points; + subsampled_points.reserve( size_of_subsample ); + for ( size_t i = 0 ; i != size_of_subsample ; ++i ) + { + subsampled_points.push_back( numbers_to_sample[i] ); + if ( dbg )std::cout << numbers_to_sample[i] << " , "; + } + + + //now we can compute characteristic of subsampled_points: + PointCloudCharacteristics characteristic_of_subsampled_points = f( subsampled_points ); + if ( dbg )std::cout << std::endl << "Characteristic of subsampled points computed.\n"; + + //and now we compute distance between characteristic_of_points and characteristic_of_subsample. Note that subsampled points go first, and this is neded, since sometimes all points are not needed. + double dist = distance( characteristic_of_subsampled_points , characteristic_of_all_points ); + + if ( dbg ) std::cout << "The distance between characteristic of all points and the characteristic of subsample is : " << dist << std::endl; + + vector_of_distances[it_no] = dist; + } + #ifdef GUDHI_USE_TBB + } + ); + #endif + + size_t position_of_quantile = floor(quantile*vector_of_distances.size()); + if ( position_of_quantile ) --position_of_quantile; + if ( dbg ) + { + std::cout << "position_of_quantile : " << position_of_quantile << ", and here is the array : " << std::endl; + for ( size_t i = 0 ; i != vector_of_distances.size() ; ++i ) + { + std::cout << vector_of_distances[i] << std::endl; + } + std::cout << std::endl; + } + + //now we need to sort the vector_of_distances and find the quantile: + std::nth_element (vector_of_distances.begin(), vector_of_distances.begin()+position_of_quantile, vector_of_distances.end()); + + if ( dbg )std::cout << "Result : " << vector_of_distances[ position_of_quantile ] << std::endl; + + return vector_of_distances[ position_of_quantile ]; + +}//bootstrap + +#endif diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h index f846ac08..df7c97af 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h @@ -240,7 +240,7 @@ public: * In the first line, the values min and max of the image are stored * In the next lines, we have the persistence images in a form of a bitmap image. **/ - void print_to_file( const char* filename ); + void print_to_file( const char* filename )const; /** * A function that load a heat map from file to the current object (and arase qhatever was stored in the current object before). @@ -251,7 +251,7 @@ public: /** * The procedure checks if min_, max_ and this->heat_maps sizes are the same. **/ - inline bool check_if_the_same( const Persistence_heat_maps& second ) + inline bool check_if_the_same( const Persistence_heat_maps& second )const { bool dbg = false; if ( this->heat_map.size() != second.heat_map.size() ) @@ -277,18 +277,18 @@ public: /** * Return minimal range value of persistent image. **/ - inline double gimme_min(){return this->min_;} + inline double gimme_min()const{return this->min_;} /** * Return maximal range value of persistent image. **/ - inline double gimme_max(){return this->max_;} + inline double gimme_max()const{return this->max_;} /** * Operator == to check if to persistence heat maps are the same. **/ - bool operator == ( const Persistence_heat_maps& rhs ) + bool operator == ( const Persistence_heat_maps& rhs )const { bool dbg = false; if ( !this->check_if_the_same(rhs) ) @@ -317,7 +317,7 @@ public: /** * Operator != to check if to persistence heat maps are different. **/ - bool operator != ( const Persistence_heat_maps& rhs ) + bool operator != ( const Persistence_heat_maps& rhs )const { return !( (*this) == rhs ); } @@ -326,7 +326,7 @@ public: /** * A function to generate a gnuplot script to vizualize the persistent image. **/ - void plot( const char* filename ); + void plot( const char* filename )const; //Implementations of functions for various concepts. @@ -334,11 +334,11 @@ public: /** * This function produce a vector of doubles based on a persisence heat map. It is required in a concept Vectorized_topological_data */ - std::vector vectorize( int number_of_function ); + std::vector vectorize( int number_of_function )const; /** * This function return the number of functions that allows vectorization of persistence heat map. It is required in a concept Vectorized_topological_data. **/ - size_t number_of_vectorize_functions() + size_t number_of_vectorize_functions()const { return this->number_of_functions_for_vectorization; } @@ -346,7 +346,7 @@ public: /** * This function is required by the Real_valued_topological_data concept. It returns various projections od the persistence heat map to a real line. **/ - double project_to_R( int number_of_function ); + double project_to_R( int number_of_function )const; /** * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. **/ @@ -360,7 +360,7 @@ public: * The parameter of this function is a const reference to an object of a class Persistence_heat_maps. * This function is required in Topological_data_with_distances concept. **/ - double distance( const Persistence_heat_maps& second_ , double power = 1); + double distance( const Persistence_heat_maps& second_ , double power = 1)const; /** * A function to compute averaged persistence heat map, based on vector of persistence heat maps. @@ -373,10 +373,30 @@ public: * The parameter of this functionis a const reference to an object of a class Persistence_heat_maps. * This function is required in Topological_data_with_scalar_product concept. **/ - double compute_scalar_product( const Persistence_heat_maps& second_ ); + double compute_scalar_product( const Persistence_heat_maps& second_ )const; //end of implementation of functions needed for concepts. + + /** + * The x-range of the persistence heat map. + **/ + std::pair< double , double > gimme_x_range()const + { + return std::make_pair( this->min_ , this->max_ ); + } + + /** + * The y-range of the persistence heat map. + **/ + std::pair< double , double > gimme_y_range()const + { + return this->gimme_x_range(); + } + + + + protected: //private methods std::vector< std::vector > check_and_initialize_maps( const std::vector& maps ); @@ -644,11 +664,11 @@ void Persistence_heat_maps::compute_percentage_of_active( c template -void Persistence_heat_maps::plot( const char* filename ) +void Persistence_heat_maps::plot( const char* filename )const { ofstream out; std::stringstream ss; - ss << filename << "_Gnuplot_script"; + ss << filename << "_GnuplotScript"; out.open( ss.str().c_str() ); out << "plot '-' matrix with image" << std::endl; @@ -666,7 +686,7 @@ void Persistence_heat_maps::plot( const char* filename ) template -void Persistence_heat_maps::print_to_file( const char* filename ) +void Persistence_heat_maps::print_to_file( const char* filename )const { ofstream out; @@ -746,7 +766,7 @@ void Persistence_heat_maps::load_from_file( const char* fil //Concretizations of virtual methods: template -std::vector Persistence_heat_maps::vectorize( int number_of_function ) +std::vector Persistence_heat_maps::vectorize( int number_of_function )const { //convert this->heat_map into one large vector: size_t size_of_result = 0; @@ -770,7 +790,7 @@ std::vector Persistence_heat_maps::vectorize( int n } template -double Persistence_heat_maps::distance( const Persistence_heat_maps& second , double power ) +double Persistence_heat_maps::distance( const Persistence_heat_maps& second , double power )const { //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: if ( !this->check_if_the_same(second) ) @@ -793,7 +813,7 @@ double Persistence_heat_maps::distance( const Persistence_h } template -double Persistence_heat_maps::project_to_R( int number_of_function ) +double Persistence_heat_maps::project_to_R( int number_of_function )const { double result = 0; for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) @@ -813,7 +833,7 @@ void Persistence_heat_maps::compute_average( const std::vec } template -double Persistence_heat_maps::compute_scalar_product( const Persistence_heat_maps& second ) +double Persistence_heat_maps::compute_scalar_product( const Persistence_heat_maps& second )const { //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: if ( !this->check_if_the_same(second) ) diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h index 5d21ba97..b917de69 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h @@ -61,55 +61,85 @@ public: /** * The procedure returns a pair the first element of which is the leftmost end of the interval, and the second element of which is the rightmost end of the interval. **/ - std::pair min_max(); + std::pair min_max()const; + + /** + * This procedure returns x-range of a given persistence diagram. + **/ + std::pair< double , double > gimme_x_range()const + { + double min_ = std::numeric_limits::max(); + double max_ = -std::numeric_limits::max(); + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + if ( this->intervals[i].first < min_ )min_ = this->intervals[i].first; + if ( this->intervals[i].first > max_ )max_ = this->intervals[i].first; + } + return std::make_pair( min_ , max_ ); + } + + /** + * This procedure returns y-range of a given persistence diagram. + **/ + std::pair< double , double > gimme_y_range()const + { + double min_ = std::numeric_limits::max(); + double max_ = -std::numeric_limits::max(); + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + if ( this->intervals[i].second < min_ )min_ = this->intervals[i].second; + if ( this->intervals[i].second > max_ )max_ = this->intervals[i].second; + } + return std::make_pair( min_ , max_ ); + } /** * Procedure that compute the vector of lengths of the dominant (i.e. the longest) persistence intervals. The list is truncated at the parameter of the call where_to_cut (set by default to 100). **/ - std::vector length_of_dominant_intervals( size_t where_to_cut = 100 ); + std::vector length_of_dominant_intervals( size_t where_to_cut = 100 )const; /** * Procedure that compute the vector of the dominant (i.e. the longest) persistence intervals. The parameter of the procedure (set by default to 100) is the number of dominant intervals returned by the procedure. **/ - std::vector< std::pair > dominant_intervals( size_t where_to_cut = 100 ); + std::vector< std::pair > dominant_intervals( size_t where_to_cut = 100 )const; /** * Procedure to compute a histogram of interva's length. A histogram is a block plot. The number of blocks is determined by the first parameter of the function (set by default to 10). * For the sake of argument let us assume that the length of the longest interval is 1 and the number of bins is 10. In this case the i-th block correspond to a range between i-1/10 and i10. * The vale of a block supported at the interval is the number of persistence intervals of a length between x_0 and x_1. **/ - std::vector< size_t > histograms_of_lengths( size_t number_of_bins = 10 ); + std::vector< size_t > histograms_of_lengths( size_t number_of_bins = 10 )const; /** * Based on a histogram of intervals lengts computed by the function histograms_of_lengths H the procedure below computes the cumulative histogram. The i-th position of the resulting histogram * is the sume of values of H for the positions from 0 to i. **/ - std::vector< size_t > cumulative_histograms_of_lengths( size_t number_of_bins = 10 ); + std::vector< size_t > cumulative_histograms_of_lengths( size_t number_of_bins = 10 )const; /** * In this procedure we assume that each barcode is a characteristic function of a hight equal to its length. The persistence diagram is a sum of such a functions. The procedure below construct a function being a * sum of the characteristic functions of persistence intervals. The first two parameters are the range in which the function is to be computed and the last parameter is the number of bins in * the discretization of the interval [_min,_max]. **/ - std::vector< double > characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins = 10 ); + std::vector< double > characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins = 10 )const; /** * Cumulative version of the function characteristic_function_of_diagram **/ - std::vector< double > cumulative_characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins = 10 ); + std::vector< double > cumulative_characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins = 10 )const; /** * Compute the funtion of persistence Betti numbers. The returned value is a vector of pair. First element of each pair is a place where persistence Betti numbers change. * Second element of each pair is the value of Persistence Betti numbers at that point. **/ - std::vector< std::pair< double , size_t > > compute_persistent_betti_numbers(); + std::vector< std::pair< double , size_t > > compute_persistent_betti_numbers()const; /** *This is a non optimal procedure that compute vector of distances from each point of diagram to its k-th nearest neighbor (k is a parameted of the program). The resulting vector is by default truncated to 10 *elements (this value can be changed by using the second parameter of the program). The points are returned in order from the ones which are farthest away from their k-th nearest neighbors. **/ - std::vector< double > k_n_n( size_t k , size_t where_to_cut = 10 ); + std::vector< double > k_n_n( size_t k , size_t where_to_cut = 10 )const; /** * Operator that send the diagram to a stream. @@ -126,7 +156,7 @@ public: /** * Generating gnuplot script to plot the interval. **/ - void plot( const char* filename ) + void plot( const char* filename , double min_x = -1 , double max_x = -1 , double min_y = -1 , double max_y = -1 ) const { //this program create a gnuplot script file that allows to plot persistence diagram. std::ofstream out; @@ -135,9 +165,18 @@ public: nameSS << filename << "_GnuplotScript"; std::string nameStr = nameSS.str(); out.open( (char*)nameStr.c_str() ); + std::pair min_max_values = this->min_max(); - out << "set xrange [" << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " : " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " ]" << std::endl; - out << "set yrange [" << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " : " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " ]" << std::endl; + if ( min_x == max_x ) + { + out << "set xrange [" << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " : " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " ]" << std::endl; + out << "set yrange [" << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " : " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " ]" << std::endl; + } + else + { + out << "set xrange [" << min_x << " : " << max_x << " ]" << std::endl; + out << "set yrange [" << min_y << " : " << max_y << " ]" << std::endl; + } out << "plot '-' using 1:2 notitle \"" << filename << "\", \\" << std::endl; out << " '-' using 1:2 notitle with lp" << std::endl; for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) @@ -152,6 +191,8 @@ public: std::cout << "Gnuplot script to visualize persistence diagram written to the file: " << nameStr << ". Type load '" << nameStr << "' in gnuplot to visualize." << std::endl; } + + /** @@ -162,7 +203,7 @@ public: /** * Return the persistence interval at the given position. Note that intervals are not sorted with respect to their lengths. **/ - inline std::pair< double,double > operator [](size_t i) + inline std::pair< double,double > operator [](size_t i)const { if ( i >= this->intervals.size() )throw("Index out of range! Operator [], one_d_gaussians class\n"); return this->intervals[i]; @@ -187,11 +228,11 @@ public: * This is a simple function projectig the persistence intervals to a real number. The function we use here is a sum of squared lendgths of intervals. It can be naturally interpreted as * sum of step function, where the step hight it equal to the length of the interval. **/ - double project_to_R( int number_of_function ); + double project_to_R( int number_of_function )const; /** * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. **/ - size_t number_of_projections_to_R() + size_t number_of_projections_to_R()const { return this->number_of_functions_for_projections_to_reals; } @@ -199,14 +240,14 @@ public: /** * Return a familly of vectors obtained from the persistence diagram. The i-th vector consist of the lenfth of i dominant persistence intervals. **/ - std::vector vectorize( int number_of_function ) + std::vector vectorize( int number_of_function )const { return this->length_of_dominant_intervals( number_of_function ); } /** * This function return the number of functions that allows vectorization of a persisence diagram. It is required in a concept Vectorized_topological_data. **/ - size_t number_of_vectorize_functions() + size_t number_of_vectorize_functions()const { return this->number_of_functions_for_vectorization; } @@ -215,7 +256,7 @@ public: *Computations of distance from the current persistnce diagram to the persistence diagram given as a parameter of this function. *The last parameter, power, is here in case we would like to compute p=th Wasserstein distance. At the moment, for the bottleneck distances, it will be ignored. **/ - double distance( const Persistence_intervals& second , double power = 1) + double distance( const Persistence_intervals& second , double power = 1) const { return 1; //waiting for Francois Godi for the code. We will compute here the Bottleneck distnace. @@ -306,9 +347,8 @@ Persistence_intervals::Persistence_intervals( const std::vector< std::pair< doub } -std::vector< double > Persistence_intervals::length_of_dominant_intervals( size_t where_to_cut ) -{ - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); +std::vector< double > Persistence_intervals::length_of_dominant_intervals( size_t where_to_cut )const +{ std::vector< double > result( this->intervals.size() ); for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) { @@ -329,7 +369,7 @@ bool compare( const std::pair< size_t , double >& first , const std::pair< size_ } -std::vector< std::pair > Persistence_intervals::dominant_intervals( size_t where_to_cut ) +std::vector< std::pair > Persistence_intervals::dominant_intervals( size_t where_to_cut )const { bool dbg = false; std::vector< std::pair< size_t , double > > position_length_vector( this->intervals.size() ); @@ -353,7 +393,7 @@ std::vector< std::pair > Persistence_intervals::dominant_interval }//dominant_intervals -std::vector< size_t > Persistence_intervals::histograms_of_lengths( size_t number_of_bins ) +std::vector< size_t > Persistence_intervals::histograms_of_lengths( size_t number_of_bins )const { bool dbg = false; @@ -401,7 +441,7 @@ std::vector< size_t > Persistence_intervals::histograms_of_lengths( size_t numbe } -std::vector< size_t > Persistence_intervals::cumulative_histograms_of_lengths( size_t number_of_bins ) +std::vector< size_t > Persistence_intervals::cumulative_histograms_of_lengths( size_t number_of_bins )const { std::vector< size_t > histogram = this->histograms_of_lengths( number_of_bins ); std::vector< size_t > result( histogram.size() ); @@ -416,7 +456,7 @@ std::vector< size_t > Persistence_intervals::cumulative_histograms_of_lengths( s } -std::vector< double > Persistence_intervals::characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins ) +std::vector< double > Persistence_intervals::characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins )const { bool dbg = false; @@ -476,7 +516,7 @@ std::vector< double > Persistence_intervals::characteristic_function_of_diagram( -std::vector< double > Persistence_intervals::cumulative_characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins ) +std::vector< double > Persistence_intervals::cumulative_characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins )const { std::vector< double > intsOfBars = this->characteristic_function_of_diagram( x_min , x_max , number_of_bins ); std::vector< double > result( intsOfBars.size() ); @@ -497,7 +537,7 @@ bool compare_first_element_of_pair( const std::pair< T , bool >& f, const std::p } -std::vector< std::pair< double , size_t > > Persistence_intervals::compute_persistent_betti_numbers() +std::vector< std::pair< double , size_t > > Persistence_intervals::compute_persistent_betti_numbers()const { std::vector< std::pair< double , bool > > places_where_pbs_change( 2*this->intervals.size() ); @@ -536,7 +576,7 @@ inline double compute_euclidean_distance( const std::pair< double,double > & f , } -std::vector< double > Persistence_intervals::k_n_n( size_t k , size_t where_to_cut ) +std::vector< double > Persistence_intervals::k_n_n( size_t k , size_t where_to_cut )const { bool dbg = false; if ( dbg ) @@ -650,7 +690,7 @@ std::vector< double > Persistence_intervals::k_n_n( size_t k , size_t where_to_c } -std::pair Persistence_intervals::min_max() +std::pair Persistence_intervals::min_max()const { double min_ = std::numeric_limits::max(); double max_ = -std::numeric_limits::max(); @@ -662,7 +702,7 @@ std::pair Persistence_intervals::min_max() return std::make_pair( min_ , max_ ); } -double Persistence_intervals::project_to_R( int number_of_function ) +double Persistence_intervals::project_to_R( int number_of_function )const { double result = 0; diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h index b3caaedc..fd6837c0 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h @@ -257,6 +257,24 @@ public: } return maxValue; } + + + /** + * Computations of minimum (y) value of landscape. + **/ + double compute_minimum()const + { + double minValue = 0; + if ( this->land.size() ) + { + minValue = std::numeric_limits::max(); + for ( size_t i = 0 ; i != this->land[0].size() ; ++i ) + { + if ( this->land[0][i].second < minValue )minValue = this->land[0][i].second; + } + } + return minValue; + } /** * Computations of a L^i norm of landscape, where i is the input parameter. @@ -334,7 +352,7 @@ public: * The number of projections to R is defined to the number of nonzero landscape functions. I-th projection is an integral of i-th landscape function over whole R. * This function is required by the Real_valued_topological_data concept. **/ - double project_to_R( int number_of_function ) + double project_to_R( int number_of_function )const { return this->compute_integral_of_landscape( (size_t)number_of_function ); } @@ -342,7 +360,7 @@ public: /** * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. **/ - size_t number_of_projections_to_R() + size_t number_of_projections_to_R()const { return this->number_of_functions_for_projections_to_reals; } @@ -350,7 +368,7 @@ public: /** * This function produce a vector of doubles based on a landscape. It is required in a concept Vectorized_topological_data */ - std::vector vectorize( int number_of_function ) + std::vector vectorize( int number_of_function )const { //TODO, think of something smarter over here std::vector v; @@ -368,7 +386,7 @@ public: /** * This function return the number of functions that allows vectorization of persistence laandscape. It is required in a concept Vectorized_topological_data. **/ - size_t number_of_vectorize_functions() + size_t number_of_vectorize_functions()const { return this->number_of_functions_for_vectorization; } @@ -433,7 +451,7 @@ public: * The parameter of this functionis a Persistence_landscape. * This function is required in Topological_data_with_distances concept. **/ - double distance( const Persistence_landscape& second , double power = 1 ) + double distance( const Persistence_landscape& second , double power = 1 )const { if ( power != -1 ) { @@ -451,14 +469,50 @@ public: * The parameter of this functionis a Persistence_landscape. * This function is required in Topological_data_with_scalar_product concept. **/ - double compute_scalar_product( const Persistence_landscape& second ) + double compute_scalar_product( const Persistence_landscape& second )const { return compute_inner_product( (*this) , second ); } //end of implementation of functions needed for concepts. - + /** + * This procedure returns x-range of a given level persistence landscape. If a default value is used, the x-range + * of 0th level landscape is given (and this range contains the ranges of all other landscapes). + **/ + std::pair< double , double > gimme_x_range( size_t level = 0 )const + { + std::pair< double , double > result; + if ( level < this->land.size() ) + { + result = std::make_pair( this->land[level][1].first , this->land[level][ this->land[level].size() - 2 ].first ); + } + else + { + result = std::make_pair( 0,0 ); + } + return result; + } + + /** + * This procedure returns y-range of a given level persistence landscape. If a default value is used, the y-range + * of 0th level landscape is given (and this range contains the ranges of all other landscapes). + **/ + std::pair< double , double > gimme_y_range( size_t level = 0 )const + { + std::pair< double , double > result; + if ( level < this->land.size() ) + { + double maxx = this->compute_maximum(); + double minn = this->compute_minimum(); + result = std::make_pair( minn , maxx ); + } + else + { + result = std::make_pair( 0,0 ); + } + return result; + } @@ -484,7 +538,7 @@ public: //a function used to create a gnuplot script for visualization of landscapes - void plot( const char* filename ,int from = -1, int to = -1 , double xRangeBegin = -1 , double xRangeEnd = -1 , double yRangeBegin = -1 , double yRangeEnd = -1 ); + void plot( const char* filename, double xRangeBegin = -1 , double xRangeEnd = -1 , double yRangeBegin = -1 , double yRangeEnd = -1,int from = -1, int to = -1 ); protected: @@ -1436,7 +1490,7 @@ double compute_inner_product( const Persistence_landscape& l1 , const Persistenc } -void Persistence_landscape::plot( const char* filename , int from, int to , double xRangeBegin , double xRangeEnd , double yRangeBegin , double yRangeEnd ) +void Persistence_landscape::plot( const char* filename, double xRangeBegin , double xRangeEnd , double yRangeBegin , double yRangeEnd , int from , int to ) { //this program create a gnuplot script file that allows to plot persistence diagram. ofstream out; diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h index 80c6628d..6ac4deca 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h @@ -511,6 +511,56 @@ public: return std::make_pair(min_value , max_value); } + /** + * This procedure returns x-range of a given level persistence landscape. If a default value is used, the x-range + * of 0th level landscape is given (and this range contains the ranges of all other landscapes). + **/ + std::pair< double , double > gimme_x_range( size_t level = 0 )const + { + return std::make_pair( this->grid_min , this->grid_max ); + //std::pair< double , double > result; + //if ( level < this->land.size() ) + //{ + // double dx = (this->grid_max - this->grid_min)/(double)this->values_of_landscapes.size(); + // size_t first_nonzero = 0; + // while ( (first_nonzero != this->values_of_landscapes.size()) && (this->values_of_landscapes[level][first_nonzero] == 0) )++first_nonzero; + // + // if ( first_nonzero == 0 ) + // { + // return std::make_pair( 0,0 );//this landscape is empty. + // } + // + // size_t last_nonzero = 0; + // while ( (last_nonzero != 0) && (this->values_of_landscapes[level][last_nonzero] == 0) )--last_nonzero; + // + // result = std::make_pair( this->grid_min +first_nonzero*dx , this->grid_max - last_nonzero*dx ); + //} + //else + //{ + // result = std::make_pair( 0,0 ); + //} + //return result; + } + + /** + * This procedure returns y-range of a persistence landscape. If a default value is used, the y-range + * of 0th level landscape is given (and this range contains the ranges of all other landscapes). + **/ + std::pair< double , double > gimme_y_range( size_t level = 0 )const + { + return this->compute_minimum_maximum(); + //std::pair< double , double > result; + //if ( level < this->land.size() ) + //{ + // result = this->compute_minimum_maximum() + //} + //else + //{ + // result = std::make_pair( 0,0 ); + //} + //return result; + } + /** * This function computes maximal lambda for which lambda-level landscape is nonzero. **/ @@ -527,7 +577,7 @@ public: /** * Computations of a L^i norm of landscape, where i is the input parameter. **/ - double compute_norm_of_landscape( double i ) + double compute_norm_of_landscape( double i )const { std::vector< std::pair< double , double > > p; Persistence_landscape_on_grid l(p,this->grid_min,this->grid_max,this->values_of_landscapes.size()-1); @@ -788,7 +838,7 @@ public: * The number of projections to R is defined to the number of nonzero landscape functions. I-th projection is an integral of i-th landscape function over whole R. * This function is required by the Real_valued_topological_data concept. **/ - double project_to_R( int number_of_function ) + double project_to_R( int number_of_function )const { return this->compute_integral_of_landscape( (size_t)number_of_function ); } @@ -796,7 +846,7 @@ public: /** * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. **/ - size_t number_of_projections_to_R() + size_t number_of_projections_to_R()const { return number_of_functions_for_projections_to_reals; } @@ -807,7 +857,7 @@ public: /** * This function produce a vector of doubles based on a landscape. It is required in a concept Vectorized_topological_data */ - std::vector vectorize( int number_of_function ) + std::vector vectorize( int number_of_function )const { //TODO, think of something smarter over here if ( ( number_of_function < 0 ) || ( (size_t)number_of_function >= this->values_of_landscapes.size() ) ) @@ -821,7 +871,7 @@ public: /** * This function return the number of functions that allows vectorization of persistence laandscape. It is required in a concept Vectorized_topological_data. **/ - size_t number_of_vectorize_functions() + size_t number_of_vectorize_functions()const { return number_of_functions_for_vectorization; } @@ -902,7 +952,7 @@ public: * The parameter of this functionis a Persistence_landscape_on_grid. * This function is required in Topological_data_with_distances concept. **/ - double distance( const Persistence_landscape_on_grid& second , double power = 1 ) + double distance( const Persistence_landscape_on_grid& second , double power = 1 )const { if ( power != -1 ) { @@ -948,15 +998,23 @@ public: /** * A function that returns values of landsapes. It can be used for vizualization **/ - std::vector< std::vector< double > > output_for_visualization() + std::vector< std::vector< double > > output_for_visualization()const { return this->values_of_landscapes; } /** - * function used to create a gnuplot script for visualization of landscapes + * function used to create a gnuplot script for visualization of landscapes. Over here we need to specify which landscapes do we want to plot. **/ - void plot( const char* filename , size_t from_ = std::numeric_limits::max(), size_t to_ = std::numeric_limits::max() ); + void plot( const char* filename , size_t from_ , size_t to_ )const + { + this->plot( filename , from_ , to_ ); + } + + /** + * function used to create a gnuplot script for visualization of landscapes. Over here we can restrict also x and y range of the landscape. + **/ + void plot( const char* filename, double min_x = -1 , double max_x = -1 , double min_y = -1 , double max_y = -1 , size_t from_ = std::numeric_limits::max(), size_t to_= std::numeric_limits::max() )const; protected: @@ -1158,7 +1216,7 @@ void Persistence_landscape_on_grid::print_to_file( const char* filename )const out.close(); } -void Persistence_landscape_on_grid::plot( const char* filename , size_t from_ , size_t to_ ) +void Persistence_landscape_on_grid::plot( const char* filename, double min_x , double max_x , double min_y , double max_y, size_t from_ , size_t to_ )const { //this program create a gnuplot script file that allows to plot persistence diagram. ofstream out; @@ -1168,9 +1226,17 @@ void Persistence_landscape_on_grid::plot( const char* filename , size_t from_ , std::string nameStr = nameSS.str(); out.open( (char*)nameStr.c_str() ); - std::pair min_max = compute_minimum_maximum(); - out << "set xrange [" << this->grid_min << " : " << this->grid_max << "]" << endl; - out << "set yrange [" << min_max.first << " : " << min_max.second << "]" << endl; + if ( min_x == max_x ) + { + std::pair min_max = compute_minimum_maximum(); + out << "set xrange [" << this->grid_min << " : " << this->grid_max << "]" << endl; + out << "set yrange [" << min_max.first << " : " << min_max.second << "]" << endl; + } + else + { + out << "set xrange [" << min_x << " : " << max_x << "]" << endl; + out << "set yrange [" << min_y << " : " << max_y << "]" << endl; + } size_t number_of_nonzero_levels = this->number_of_nonzero_levels(); double dx = ( this->grid_max - this->grid_min )/((double)this->values_of_landscapes.size()-1); diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h index 7211f6eb..9d02e917 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h @@ -33,6 +33,7 @@ //gudhi include #include #include + using namespace std; namespace Gudhi @@ -42,16 +43,31 @@ namespace Gudhi_stat template -struct euclidean_distance +struct Euclidean_distance { double operator() ( const std::pair< T,T >& f , const std::pair& s ) { return sqrt( (f.first-s.first)*(f.first-s.first) + (f.second-s.second)*(f.second-s.second) ); } + double operator() ( const std::vector< T >& f , const std::vector < T >& s ) + { + if ( f.size() != s.size() ) + { + std::cerr << "Not compatible points dimensions in the procedure to compute Euclidean distance. The program will now terminate. \n"; + std::cout << f.size() << " , " << s.size() << std::endl; + throw "Not compatible points dimensions in the procedure to compute Euclidean distance. The program will now terminate. \n"; + } + double result = 0; + for ( size_t i = 0 ; i != f.size() ; ++i ) + { + result += ( f[i]-s[i] )*( f[i]-s[i] ); + } + return sqrt( result ); + } }; template -struct maximum_distance +struct Maximum_distance { double operator() ( const std::pair< T,T >& f , const std::pair& s ) { @@ -113,7 +129,7 @@ public: /** * This procedure gives the value of a vector on a given position. **/ - inline double vector_in_position( size_t position ) + inline double vector_in_position( size_t position )const { if ( position >= this->sorted_vector_of_distances.size() )throw("Wrong position in accessing Vector_distances_in_diagram::sorted_vector_of_distances\n"); return this->sorted_vector_of_distances[position]; @@ -127,12 +143,12 @@ public: /** * Write a vector to a file. **/ - void write_to_file( const char* filename ); + void write_to_file( const char* filename )const; /** * Write a vector to a file. **/ - void print_to_file( const char* filename ) + void print_to_file( const char* filename )const { this->write_to_file( filename ); } @@ -145,7 +161,7 @@ public: /** * Comparision operators: **/ - bool operator == ( const Vector_distances_in_diagram& second ) + bool operator == ( const Vector_distances_in_diagram& second )const { if ( this->sorted_vector_of_distances.size() != second.sorted_vector_of_distances.size() )return false; for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) @@ -155,7 +171,7 @@ public: return true; } - bool operator != ( const Vector_distances_in_diagram& second ) + bool operator != ( const Vector_distances_in_diagram& second )const { return !( *this == second ); } @@ -167,11 +183,11 @@ public: /** * Compute projection to real numbers of persistence vector. This function is required by the Real_valued_topological_data concept **/ - double project_to_R( int number_of_function ); + double project_to_R( int number_of_function )const; /** * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. **/ - size_t number_of_projections_to_R() + size_t number_of_projections_to_R()const { return this->number_of_functions_for_projections_to_reals; } @@ -179,11 +195,11 @@ public: /** * Compute a vectorization of a persistent vectors. It is required in a concept Vectorized_topological_data. **/ - std::vector vectorize( int number_of_function ); + std::vector vectorize( int number_of_function )const; /** * This function return the number of functions that allows vectorization of a persisence vector. It is required in a concept Vectorized_topological_data. **/ - size_t number_of_vectorize_functions() + size_t number_of_vectorize_functions()const { return this->number_of_functions_for_vectorization; } @@ -196,12 +212,12 @@ public: /** * Compute a distance of two persistent vectors. This function is required in Topological_data_with_distances concept. **/ - double distance( const Vector_distances_in_diagram& second , double power = 1); + double distance( const Vector_distances_in_diagram& second , double power = 1)const; /** * Compute a scalar product of two persistent vectors. This function is required in Topological_data_with_scalar_product concept. **/ - double compute_scalar_product( const Vector_distances_in_diagram& second ); + double compute_scalar_product( const Vector_distances_in_diagram& second )const; //end of implementation of functions needed for concepts. @@ -224,7 +240,7 @@ public: /** * For visualization use output from vectorize and build histograms. **/ - std::vector< double > output_for_visualization() + std::vector< double > output_for_visualization()const { return this->sorted_vector_of_distances; } @@ -233,10 +249,10 @@ public: /** * Create a gnuplot script to vizualize the data structure. **/ - void plot( const char* filename ) + void plot( const char* filename )const { std::stringstream gnuplot_script; - gnuplot_script << filename << "_Gnuplot_script"; + gnuplot_script << filename << "_GnuplotScript"; ofstream out; out.open( gnuplot_script.str().c_str() ); out << "set style data histogram" << std::endl; @@ -251,6 +267,23 @@ public: out.close(); std::cout << "To vizualize, open gnuplot and type: load \'" << gnuplot_script.str().c_str() << "\'" << std::endl; } + + /** + * The x-range of the persistence vector. + **/ + std::pair< double , double > gimme_x_range()const + { + return std::make_pair( 0 , this->sorted_vector_of_distances.size() ); + } + + /** + * The y-range of the persistence vector. + **/ + std::pair< double , double > gimme_y_range()const + { + if ( this->sorted_vector_of_distances.size() == 0 )return std::make_pair(0,0); + return std::make_pair( this->sorted_vector_of_distances[0] , 0); + } private: @@ -458,7 +491,7 @@ void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_vect //Implementations of functions for various concepts. template -double Vector_distances_in_diagram::project_to_R( int number_of_function ) +double Vector_distances_in_diagram::project_to_R( int number_of_function )const { if ( number_of_function > this->number_of_functions_for_projections_to_reals )throw "Wrong index of a function in a method Vector_distances_in_diagram::project_to_R"; if ( number_of_function < 0 )throw "Wrong index of a function in a method Vector_distances_in_diagram::project_to_R"; @@ -508,7 +541,7 @@ void Vector_distances_in_diagram::compute_average( const std::vector< Vector_ } template -double Vector_distances_in_diagram::distance( const Vector_distances_in_diagram& second_ , double power ) +double Vector_distances_in_diagram::distance( const Vector_distances_in_diagram& second_ , double power )const { bool dbg = false; @@ -569,7 +602,7 @@ double Vector_distances_in_diagram::distance( const Vector_distances_in_diagr } template < typename F> -std::vector Vector_distances_in_diagram::vectorize( int number_of_function ) +std::vector Vector_distances_in_diagram::vectorize( int number_of_function )const { if ( number_of_function > this->number_of_functions_for_vectorization )throw "Wrong index of a function in a method Vector_distances_in_diagram::vectorize"; if ( number_of_function < 0 )throw "Wrong index of a function in a method Vector_distances_in_diagram::vectorize"; @@ -584,7 +617,7 @@ std::vector Vector_distances_in_diagram::vectorize( int number_of_fun template < typename F> -void Vector_distances_in_diagram::write_to_file( const char* filename ) +void Vector_distances_in_diagram::write_to_file( const char* filename )const { std::ofstream out; out.open( filename ); @@ -620,7 +653,7 @@ void Vector_distances_in_diagram::load_from_file( const char* filename ) } template < typename F> -double Vector_distances_in_diagram::compute_scalar_product( const Vector_distances_in_diagram& second_vector ) +double Vector_distances_in_diagram::compute_scalar_product( const Vector_distances_in_diagram& second_vector )const { double result = 0; for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(),second_vector.sorted_vector_of_distances.size()) ; ++i ) diff --git a/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h b/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h index 953547c7..e16c1f20 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h @@ -27,6 +27,8 @@ #include #include #include +#include +#include #include @@ -252,6 +254,43 @@ std::vector< std::pair< double , double > > read_gudhi_file( const char* filenam return barcode; }//read_gudhi_file + +std::vector< std::vector< double > > read_numbers_from_file_line_by_line( const char* filename ) +{ + bool dbg = false; + if ( !( access( filename, F_OK ) != -1 ) ) + { + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; + } + + std::vector< std::vector< double > > result; + double number; + + std::ifstream in(filename); + std::string line; + while ( in.good() ) + { + std::getline(in,line); + std::stringstream ss; + ss << line; + + if ( dbg )std::cerr << "\n Reading line : " << line << std::endl; + + std::vector< double > this_line; + while ( ss.good() ) + { + ss >> number; + this_line.push_back( number ); + if ( dbg )std::cerr << number << " "; + } + if ( this_line.size() && in.good() ) result.push_back( this_line ); + } + in.close(); + + return result; +}//read_numbers_from_file_line_by_line + }//namespace Gudhi_stat }//namespace Gudhi diff --git a/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h b/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h new file mode 100644 index 00000000..fc7a8091 --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h @@ -0,0 +1,140 @@ +/* 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 . + */ + +#ifndef BOOTSTRAP_H +#define BOOTSTRAP_H + +//concretizations +#include +#include +#include +#include + +#ifdef GUDHI_USE_TBB +#include +#endif + +#include +#include +#include +#include +#include + +template < typename TopologicalObject > +class difference_of_objects +{ +public: + TopologicalObject operator()( const TopologicalObject& first, const TopologicalObject& second )const + { + return first-second; + } +}; + +template < typename TopologicalObject > +class norm_of_objects +{ +public: + double operator()( const TopologicalObject& obj )const + { + TopologicalObject* empty = new TopologicalObject; + double dist = empty->distance( obj ); + delete empty; + return dist; + } +}; + + + +/** +* This is a generic function to perform multiplicative bootstrap. +**/ + + +template < typename TopologicalObject , typename OperationOnObjects , typename NormOnObjects > +double multiplicative_bootstrap( const std::vector< TopologicalObject* >& topological_objects , size_t number_of_bootstrap_operations , const OperationOnObjects& oper , const NormOnObjects& norm , double quantile = 0.95 ) +{ + bool dbg = false; + + //initialization of a random number generator: + std::random_device rd; + std::mt19937 generator( time(NULL) ); + std::normal_distribution<> norm_distribution(0.,1.); + + + //first compute an average of topological_objects + TopologicalObject average; + average.compute_average( topological_objects ); + + std::vector< double > vector_of_intermediate_characteristics( number_of_bootstrap_operations , 0 ); + + + #ifdef GUDHI_USE_TBB + tbb::parallel_for ( tbb::blocked_range(0, number_of_bootstrap_operations), [&](const tbb::blocked_range& range) + { + for ( size_t it_no = range.begin() ; it_no != range.end() ; ++it_no ) + #else + for ( size_t it_no = 0 ; it_no < number_of_bootstrap_operations ; ++it_no ) + #endif + { + if ( dbg ) + { + std::cout << "Still : " << number_of_bootstrap_operations-it_no << " tests to go. \n The subsampled vector consist of points number : "; + } + //and compute the intermediate characteristic: + TopologicalObject result; + for ( size_t i = 0 ; i != topological_objects.size() ; ++i ) + { + double rand_variable = norm_distribution( generator ); + result += rand_variable*oper(*(topological_objects[i]) , average); + } + result = result*(1.0/sqrt( topological_objects.size() )); + vector_of_intermediate_characteristics[it_no] = norm(result); + } + #ifdef GUDHI_USE_TBB + } + ); + #endif + + + + size_t position_of_quantile = floor(quantile*vector_of_intermediate_characteristics.size()); + if ( position_of_quantile ) --position_of_quantile; + if ( dbg ) + { + std::cout << "position_of_quantile : " << position_of_quantile << ", and here is the array : " << std::endl; + for ( size_t i = 0 ; i != vector_of_intermediate_characteristics.size() ; ++i ) + { + std::cout << vector_of_intermediate_characteristics[i] << std::endl; + } + std::cout << std::endl; + } + + //now we need to sort the vector_of_distances and find the quantile: + std::nth_element (vector_of_intermediate_characteristics.begin(), vector_of_intermediate_characteristics.begin()+position_of_quantile, vector_of_intermediate_characteristics.end()); + double result = vector_of_intermediate_characteristics[ position_of_quantile ]/(sqrt( topological_objects.size() )); + if ( dbg )std::cout << "Result : " << result << std::endl; + + return result; + +}//bootstrap + +#endif diff --git a/src/Gudhi_stat/include/gudhi/permutation_test.h b/src/Gudhi_stat/include/gudhi/permutation_test.h index 18b94eab..ac3a7f53 100644 --- a/src/Gudhi_stat/include/gudhi/permutation_test.h +++ b/src/Gudhi_stat/include/gudhi/permutation_test.h @@ -41,13 +41,16 @@ namespace Gudhi_stat template double permutation_test( const std::vector& data_1 , const std::vector& data_2 , size_t number_of_permutations , double exponent = 1 ) { + bool dbg = true; try { - Representation_of_persistence* av_1 = new Representation_of_persistence; - av_1->compute_average( data_1 ); - Representation_of_persistence* av_2 = new Representation_of_persistence; - av_2->compute_average( data_2 ); - double initial_distance = av_1->distance( *av_2 , exponent ); + Representation_of_persistence av_1;// = new Representation_of_persistence; + av_1.compute_average( data_1 ); + Representation_of_persistence av_2;// = new Representation_of_persistence; + av_2.compute_average( data_2 ); + double initial_distance = av_1.distance( av_2 , exponent ); + + double counter = 0; for ( size_t i = 0 ; i != number_of_permutations ; ++i ) @@ -60,10 +63,22 @@ double permutation_test( const std::vector& data std::vector first_part(&all_data[0],&all_data[data_1.size()]); std::vector second_part(&all_data[data_1.size()],&all_data[all_data.size()]); - av_1->compute_average( first_part ); - av_2->compute_average( second_part ); - double distance_after_permutations = av_1->distance( *av_2 , exponent ); + + Representation_of_persistence av_1;// = new Representation_of_persistence; + Representation_of_persistence av_2;// = new Representation_of_persistence; + av_1.compute_average( first_part ); + av_2.compute_average( second_part ); + double distance_after_permutations = av_1.distance( av_2 , exponent ); + //delete av_1; + //delete av_2; if ( distance_after_permutations > initial_distance )++counter; + if ( dbg ) + { + std::cerr << "Permutation number : " << i << std::endl; + std::cerr << "distance_after_permutations : " << distance_after_permutations << std::endl; + std::cerr << "initial_distance : " << initial_distance << std::endl; + std::cerr << "counter : " << counter << std::endl; + } } return counter / (double)number_of_permutations; } diff --git a/src/Gudhi_stat/include/gudhi/topological_process.h b/src/Gudhi_stat/include/gudhi/topological_process.h index 729ef2f8..e7bd46de 100644 --- a/src/Gudhi_stat/include/gudhi/topological_process.h +++ b/src/Gudhi_stat/include/gudhi/topological_process.h @@ -28,6 +28,7 @@ #include #include #include +#include #include //extras @@ -38,11 +39,18 @@ namespace Gudhi namespace Gudhi_stat { +//over here we will need a few version of construct_representation_from_file procedure, since different representations may require different parameters. This is a procedure that in my +//oppinion cannot be standarize, since construction of representation cannot. But, the remaining part of the code in my opinion is free from any details of representation. -template -std::vector< Representation* > construct_representation_from_file( const char* filename ) + +//the reason I am separating the process of getting the intervals from the process of consstructing the represnetation is the following: for soem representations, we may need to ahve the same +//scale. To determine the scale, we need to know all the intervals before. So, we read the intervals first, then if needed, process them, to get the parametersof the representation, +//and only then construct the representations. +std::vector< std::vector< std::pair< double , double > > > read_persistence_pairs_from_file_with_names_of_files( const char* filename ) { bool dbg = false; + std::vector< std::vector< std::pair< double , double > > > result; + std::vector< std::string > files = readFileNames( filename ); std::cout << "Here are the filenames in the file : " << filename << std::endl; @@ -51,11 +59,10 @@ std::vector< Representation* > construct_representation_from_file( const char* f std::cout << files[i] << std::endl; } - std::vector< Representation* > result( files.size() ); for ( size_t i = 0 ; i != files.size() ; ++i ) { std::vector< std::pair< double , double > > diag = read_standard_file( files[i].c_str() ); - + result.push_back( diag ); if ( dbg ) { std::cerr << "Here is a diagram from a file : " << files[i].c_str() << std::endl; @@ -65,8 +72,134 @@ std::vector< Representation* > construct_representation_from_file( const char* f } getchar(); } - - Representation* l = new Representation( diag ); + } + return result; +} + +//When workign with time varying data, we tpically have a collection of files with intervals to produce one process. The intervals from all the files that constitute a single process can be read with +//the read_persistence_pairs_from_file_with_names_of_files procedure. +//But then, we also may need to read the persistence intervals of collection of proesses we may want to read the intervals first. This is what the procedre +std::vector< std::vector< std::vector< std::pair< double , double > > > > read_persistence_pairs_from_files_with_names_of_files( const std::vector& filenames ) +{ + std::vector< std::vector< std::vector< std::pair< double , double > > > > result; + result.reserve( filenames.size() ); + for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) + { + result.push_back( read_persistence_pairs_from_file_with_names_of_files( filenames[file_no] ) ); + } + return result; +}//read_persistence_pairs_from_files_with_names_of_files + + +std::pair< std::pair< double,double > , std::pair< double,double > > find_x_and_y_ranges_of_intervals( const std::vector< std::vector< std::pair< double , double > > >& intervals_from_file ) +{ + double min_x = std::numeric_limits< double >::max(); + double max_x = -std::numeric_limits< double >::max(); + double min_y = std::numeric_limits< double >::max(); + double max_y = -std::numeric_limits< double >::max(); + for ( size_t i = 0 ; i != intervals_from_file.size() ; ++i ) + { + for ( size_t j = 0 ; j != intervals_from_file[i].size() ; ++j ) + { + if ( min_x > intervals_from_file[i][j].first )min_x = intervals_from_file[i][j].first; + if ( max_x < intervals_from_file[i][j].first )max_x = intervals_from_file[i][j].first; + + if ( min_y > intervals_from_file[i][j].second )min_y = intervals_from_file[i][j].second; + if ( max_y < intervals_from_file[i][j].second )max_y = intervals_from_file[i][j].second; + } + } + return std::make_pair( std::make_pair( min_x,max_x ) , std::make_pair( min_y,max_y ) ); +}//find_x_and_y_ranges_of_intervals + + +std::pair< std::pair< double,double > , std::pair< double,double > > find_x_and_y_ranges_of_intervals( const std::vector< std::vector< std::vector< std::pair< double , double > > > >& intervals_from_files ) +{ + double min_x = std::numeric_limits< double >::max(); + double max_x = -std::numeric_limits< double >::max(); + double min_y = std::numeric_limits< double >::max(); + double max_y = -std::numeric_limits< double >::max(); + for ( size_t i = 0 ; i != intervals_from_files.size() ; ++i ) + { + std::pair< std::pair< double,double > , std::pair< double,double > > ranges = find_x_and_y_ranges_of_intervals( intervals_from_files[i] ); + if ( min_x > ranges.first.first ) min_x = ranges.first.first; + if ( max_x < ranges.first.second ) max_x = ranges.first.second; + if ( min_y > ranges.second.first ) min_y = ranges.second.first; + if ( max_y < ranges.second.second ) max_y = ranges.second.second; + } + return std::make_pair( std::make_pair( min_x,max_x ) , std::make_pair( min_y,max_y ) ); +} + + +template +std::vector< Representation* > construct_representation_from_file( const char* filename ) +{ + std::vector< std::vector< std::pair< double , double > > > intervals_from_file = read_persistence_pairs_from_file_with_names_of_files( filename ); + std::vector< Representation* > result( intervals_from_file.size() ); + for ( size_t i = 0 ; i != intervals_from_file.size() ; ++i ) + { + Representation* l = new Representation( intervals_from_file[i] ); + result[i] = l; + } + return result; +} + +//this one can be use for Persistence_intervals.h and Persistence_landscape.h +template +std::vector< Representation* > construct_representation_from_file( const std::vector< std::vector< std::pair< double , double > > >& intervals_from_file) +{ + + std::vector< Representation* > result( intervals_from_file.size() ); + for ( size_t i = 0 ; i != intervals_from_file.size() ; ++i ) + { + Representation* l = new Representation( intervals_from_file[i] ); + result[i] = l; + } + return result; +} + +//this one can be use for Persistence_heat_maps.h +template +std::vector< Representation* > construct_representation_from_file( const std::vector< std::vector< std::pair< double , double > > >& intervals_from_file , + std::vector< std::vector > filter = create_Gaussian_filter(5,1), + bool erase_below_diagonal = false , + size_t number_of_pixels = 1000 , + double min_ = -1 , double max_ = -1 ) +{ + std::vector< Representation* > result( intervals_from_file.size() ); + for ( size_t i = 0 ; i != intervals_from_file.size() ; ++i ) + { + Representation* l = new Representation( intervals_from_file[i] , filter , erase_below_diagonal , number_of_pixels , min_ , max_ ); + result[i] = l; + } + return result; +} + +//this one can be use for Persistence_landscape_on_grid.h +template +std::vector< Representation* > construct_representation_from_file( const std::vector< std::vector< std::pair< double , double > > >& intervals_from_file, + double grid_min_ , double grid_max_ , size_t number_of_points_ +) +{ + std::vector< Representation* > result( intervals_from_file.size() ); + for ( size_t i = 0 ; i != intervals_from_file.size() ; ++i ) + { + Representation* l = new Representation( intervals_from_file[i] , grid_min_ , grid_max_ , number_of_points_ ); + result[i] = l; + } + return result; +} + + +//this one can be use for Vector_distances_in_diagram.h +template +std::vector< Representation* > construct_representation_from_file( const std::vector< std::vector< std::pair< double , double > > >& intervals_from_file, + size_t where_to_cut +) +{ + std::vector< Representation* > result( intervals_from_file.size() ); + for ( size_t i = 0 ; i != intervals_from_file.size() ; ++i ) + { + Representation* l = new Representation( intervals_from_file[i] , where_to_cut ); result[i] = l; } return result; @@ -77,9 +210,33 @@ template class Topological_process { public: - Topological_process(); + Topological_process(){}; + ~Topological_process() + { + for ( size_t i = 0 ; i != this->data.size() ; ++i ) + { + delete this->data[i]; + } + } + Topological_process( const Topological_process& org ) + { + this->data = std::vector< Representation* >( org.data.size() ); + for ( size_t i = 0 ; i != org.data.size() ; ++i ) + { + this->data[i] = new Representation( *org.data[i] ); + } + } + Topological_process& operator = ( const Topological_process& rhs ) + { + for ( size_t i = 0 ; i != rhs.data.size() ; ++i ) + { + this->data[i] = new Representation( *rhs.data[i] ); + } + return *this; + } + Topological_process( const std::vector< Representation* >& data_ ):data(data_){} - double distance( const Topological_process& second ) + double distance( const Topological_process& second , double exponent = 1 ) { if ( this->data.size() != second.data.size() ) { @@ -88,12 +245,12 @@ public: double result = 0; for ( size_t i = 0 ; i != this->data.size() ; ++i ) { - result += this->data[i]->distance( *second.data[i] ); + result += this->data[i]->distance( *second.data[i] , exponent ); } return result; } - void compute_average( const std::vector< Representation* >& to_average ) + void compute_average( const std::vector< Topological_process* >& to_average ) { //since we will substitute whatever data we have in this object with an average, we clear the data in this object first: this->data.clear(); @@ -101,14 +258,127 @@ public: if ( to_average.size() == 0 )return; for ( size_t i = 1 ; i != to_average.size() ; ++i ) { - if ( to_average[0].data.size() != to_average[i].data.size ) + if ( to_average[0]->data.size() != to_average[i]->data.size() ) { throw "Incompatible lengths of topological processes, the averages cannot be computed \n"; } } + + this->data.reserve( to_average[0]->data.size() ); + + for ( size_t level = 0 ; level != to_average[0]->data.size() ; ++level ) + { + //now we will be averaging the level level: + std::vector< Representation* > to_average_at_this_level; + to_average_at_this_level.reserve( to_average.size() ); + for ( size_t i = 0 ; i != to_average.size() ; ++i ) + { + to_average_at_this_level.push_back( to_average[i]->data[level] ); + } + Representation* average_representation_on_this_level = new Representation; + average_representation_on_this_level->compute_average( to_average_at_this_level ); + this->data.push_back( average_representation_on_this_level ); + } + } + + std::pair< double , double > gimme_x_range()const + { + double min_x = std::numeric_limits< double >::max(); + double max_x = -std::numeric_limits< double >::max(); + for ( size_t i = 0 ; i != this->data.size() ; ++i ) + { + std::pair< double , double > xrange = this->data[i]->gimme_x_range(); + if ( min_x > xrange.first )min_x = xrange.first; + if ( max_x < xrange.second )max_x = xrange.second; + } + return std::make_pair( min_x , max_x ); + } + + std::pair< double , double > gimme_y_range()const + { + double min_y = std::numeric_limits< double >::max(); + double max_y = -std::numeric_limits< double >::max(); + for ( size_t i = 0 ; i != this->data.size() ; ++i ) + { + std::pair< double , double > yrange = this->data[i]->gimme_y_range(); + if ( min_y > yrange.first )min_y = yrange.first; + if ( max_y < yrange.second )max_y = yrange.second; + } + return std::make_pair( min_y , max_y ); + } + + /** + * The procedure checks if the ranges of data are the same for all of them. + **/ + bool are_the_data_aligned()const + { + if ( this->data.size() == 0 )return true;//empty collection is aligned + std::pair< double , double > x_range = this->data[0]->gimme_x_range(); + std::pair< double , double > y_range = this->data[0]->gimme_y_range(); + for ( size_t i = 1 ; i != this->data.size() ; ++i ) + { + if ( (x_range != this->data[i]->gimme_x_range()) || (y_range != this->data[i]->gimme_y_range()) ) + { + return false; + } + } + return true; } + + //scalar products? //confidence bounds? + + void plot( const char* filename , size_t delay = 30 , double min_x = -1 , double max_x = -1 , double min_y = -1 , double max_y = -1 ) + { + std::vector< std::string > filenames; + //over here we need to + for ( size_t i = 0 ; i != this->data.size() ; ++i ) + { + std::stringstream ss; + ss << filename << "_" << i; + if ( ( min_x != max_x ) && ( min_y != max_y ) ) + { + //in this case, we set up the uniform min and max values for pciture + //this->data[i]->plot( ss.str().c_str() , min_x , max_x , min_y , max_y ); + } + else + { + //in this case, we DO NOT set up the uniform min and max values for pciture + this->data[i]->plot( ss.str().c_str() ); + } + ss << "_GnuplotScript"; + filenames.push_back( ss.str() ); + } + //and now we have to call it somehow for all the files. We will create a script that will call all the other scripts and ceate a sequence of jpg/png files. + + + std::stringstream gif_file_name; + gif_file_name << filename << ".gif"; + std::stringstream gif_gnuplot_script_file_name; + gif_gnuplot_script_file_name << filename << "_gif_gnuplot_script"; + + ofstream out; + out.open( gif_gnuplot_script_file_name.str().c_str() ); + out << "set terminal gif animate delay " << delay << std::endl; + out << "set output '" << gif_file_name.str() << "'" << std::endl; + if ( min_x != max_x ) + { + out << "set xrange [" << min_x << ":" << max_x << "]" << std::endl; + out << "set yrange [" << min_y << ":" << max_y << "]" << std::endl; + } + + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + out << " load '" << filenames[i] << "'" << std::endl; + } + out.close(); + + std::cout << std::endl << std::endl << std::endl << "Open gnuplot terminal and type load '" << gif_gnuplot_script_file_name.str() << "' to create an animated gif \n"; + }//plot + + + std::vector< Representation* > gimme_data(){return this->data;} private: std::vector< Representation* > data; }; diff --git a/src/Gudhi_stat/test/vector_representation_test.cpp b/src/Gudhi_stat/test/vector_representation_test.cpp index 3e14bd59..2131ed29 100644 --- a/src/Gudhi_stat/test/vector_representation_test.cpp +++ b/src/Gudhi_stat/test/vector_representation_test.cpp @@ -51,10 +51,10 @@ BOOST_AUTO_TEST_CASE(check_read_write_to_files) 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 ); + 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; + Vector_distances_in_diagram< Euclidean_distance > q; q.load_from_file( "test_vector_representation_write_read" ); BOOST_CHECK( p == q ); @@ -64,7 +64,7 @@ BOOST_AUTO_TEST_CASE(check_read_write_to_files) BOOST_AUTO_TEST_CASE(check_sortev_vector_distances_template) { - Vector_distances_in_diagram< euclidean_distance > p( "data/file_with_diagram" , 100 ); + 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 ); @@ -184,7 +184,7 @@ BOOST_AUTO_TEST_CASE(check_sortev_vector_distances_template) BOOST_AUTO_TEST_CASE(check_projections_to_R) { - Vector_distances_in_diagram< euclidean_distance > p( "data/file_with_diagram" , 100 ); + 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 ); @@ -300,8 +300,8 @@ BOOST_AUTO_TEST_CASE(check_projections_to_R) 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 ); + 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 ); @@ -313,7 +313,7 @@ BOOST_AUTO_TEST_CASE(check_distance_computations) 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 ); + 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 ) ); } @@ -322,7 +322,7 @@ BOOST_AUTO_TEST_CASE(check_distance_computations) BOOST_AUTO_TEST_CASE(check_compute_average) { - Vector_distances_in_diagram< euclidean_distance > p( "data/file_with_diagram" , 100 ); + 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 ); @@ -334,17 +334,17 @@ BOOST_AUTO_TEST_CASE(check_compute_average) 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 > A( i1 , -1 ); + Vector_distances_in_diagram< Euclidean_distance > B( i1 , -1 ); - std::vector< Vector_distances_in_diagram< euclidean_distance >* > to_average; + std::vector< Vector_distances_in_diagram< Euclidean_distance >* > to_average; to_average.push_back( &A ); to_average.push_back( &B ); - Vector_distances_in_diagram< euclidean_distance > average; + Vector_distances_in_diagram< Euclidean_distance > average; average.compute_average( to_average ); - Vector_distances_in_diagram< euclidean_distance > template_average; + Vector_distances_in_diagram< Euclidean_distance > template_average; template_average.load_from_file( "data/average_of_persistence_vectors" ); BOOST_CHECK( template_average == average ); diff --git a/src/Gudhi_stat/utilities/CMakeLists.txt b/src/Gudhi_stat/utilities/CMakeLists.txt index f98bcecb..a26aa5c5 100644 --- a/src/Gudhi_stat/utilities/CMakeLists.txt +++ b/src/Gudhi_stat/utilities/CMakeLists.txt @@ -111,6 +111,9 @@ add_executable ( topological_process_2 topological_process_2.cpp ) target_link_libraries(topological_process_2 ${Boost_SYSTEM_LIBRARY}) add_executable ( Hausdorff_bootstrap Hausdorff_bootstrap.cpp ) +if (TBB_FOUND) +target_link_libraries(Hausdorff_bootstrap ${TBB_LIBRARIES}) +endif(TBB_FOUND) target_link_libraries(Hausdorff_bootstrap ${Boost_SYSTEM_LIBRARY}) @@ -120,3 +123,10 @@ target_link_libraries(Landscape_bootstrap ${TBB_LIBRARIES}) endif(TBB_FOUND) target_link_libraries(Landscape_bootstrap ${Boost_SYSTEM_LIBRARY}) + +add_executable ( Multiplicative_bootstrap Multiplicative_bootstrap.cpp ) +if (TBB_FOUND) +target_link_libraries(Multiplicative_bootstrap ${TBB_LIBRARIES}) +endif(TBB_FOUND) +target_link_libraries(Multiplicative_bootstrap ${Boost_SYSTEM_LIBRARY}) + diff --git a/src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp b/src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp index 95e1aa99..16c9b085 100644 --- a/src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp +++ b/src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp @@ -38,7 +38,7 @@ int main( int argc , char** argv ) std::cout << "(a) a name of a file with points," << std:: endl; std::cout << "(b) a number of repetitions of bootstrap (integer)," << std::endl; std::cout << "(c) a size of subsample (integer, smaller than the number of points," << std::endl; - std::cout << "(d) a squantile (real number between 0 and 1. If you do not know what to set, set it to 0.95." << std::endl; + std::cout << "(d) a quantile (real number between 0 and 1. If you do not know what to set, set it to 0.95." << std::endl; if ( argc != 5 ) { std::cerr << "Wrong number of parameters, the program will now terminate.\n"; diff --git a/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp b/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp index e9e39e50..5b3d0609 100644 --- a/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp +++ b/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp @@ -143,7 +143,7 @@ int main( int argc , char** argv ) std::cout << "(4) An real value p such that L^p distance is going to be computed. \n"; std::cout << "(5) A dimension of persistence that is to be taken into account (positive integer) \n"; std::cout << "(6) A maximal diameter to which complex is to be grown (positive integer) \n"; - std::cout << "(d) a squantile (real number between 0 and 1. If you do not know what to set, set it to 0.95." << std::endl; + std::cout << "(d) a quantile (real number between 0 and 1. If you do not know what to set, set it to 0.95." << std::endl; if ( argc != 8 ) { std::cerr << "Wrong number of parameters, the program will now terminate.\n"; diff --git a/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp b/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp new file mode 100644 index 00000000..489ad909 --- /dev/null +++ b/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp @@ -0,0 +1,69 @@ +/* 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 +#include + +using namespace std; +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + + + +int main( int argc , char** argv ) +{ + std::cout << "The parameters of this program are : " << std::endl; + std::cout << "(a) a name of a file with names of files with points," << std:: endl; + std::cout << "(b) a number of repetitions of bootstrap (integer)," << std::endl; + std::cout << "(c) a quantile (real number between 0 and 1. If you do not know what to set, set it to 0.95." << std::endl; + if ( argc != 4 ) + { + std::cerr << "Wrong number of parameters, the program will now terminate.\n"; + return 1; + } + + const char* file_with_filenames = argv[1]; + size_t number_of_repetitions_of_bootstrap = (size_t)atoi( argv[2] ); + double quantile = atof( argv[3] ); + + std::vector< std::string > filenames = readFileNames( file_with_filenames ); + std::vector< Persistence_landscape* > collection_of_landscapes( filenames.size() ); + for ( size_t i = 0 ; i != filenames.size() ; ++i ) + { + std::vector< std::pair< double , double > > diag = read_standard_file( filenames[i].c_str() ); + collection_of_landscapes[i] = new Persistence_landscape( diag ); + } + + //now we can run the bootstrap: + difference_of_objects diff; + norm_of_objects norm; + + double result = + multiplicative_bootstrap< Persistence_landscape , difference_of_objects , norm_of_objects >( collection_of_landscapes , number_of_repetitions_of_bootstrap , diff , norm , quantile ); + + std::cout << "result of bootstrap : " << result << std::endl; + return 0; +} + -- cgit v1.2.3 From b7b23c26b855b83d03870cfd90b001fa2dedfd86 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Fri, 9 Dec 2016 14:55:03 +0000 Subject: Fix to Marc's comments. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1841 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: c5be190621dcbb43433c027c78e782916cc6ae93 --- src/Gudhi_stat/example/persistence_intervals.cpp | 40 +-- src/Gudhi_stat/example/persistence_landscape.cpp | 18 +- .../example/persistence_landscape_on_grid.cpp | 20 +- src/Gudhi_stat/example/vector_representation.cpp | 13 +- src/Gudhi_stat/include/gudhi/Hausdorff_distances.h | 7 + src/Gudhi_stat/include/gudhi/bootstrap.h | 15 +- src/Gudhi_stat/include/gudhi/common.h | 6 +- src/Gudhi_stat/include/gudhi/common_gudhi_stat.h | 160 +++++++++++ .../include/gudhi/concretizations/PSSK.h | 18 +- .../gudhi/concretizations/Persistence_heat_maps.h | 98 ++++--- .../gudhi/concretizations/Persistence_intervals.h | 8 +- .../gudhi/concretizations/Persistence_landscape.h | 127 ++++----- .../Persistence_landscape_on_grid.h | 185 ++++++------- .../concretizations/Vector_distances_in_diagram.h | 76 ++---- .../concretizations/read_persitence_from_file.h | 300 --------------------- .../include/gudhi/fill_in_missing_data.h | 8 + .../include/gudhi/multiplicative_bootstrap.h | 10 +- src/Gudhi_stat/include/gudhi/permutation_test.h | 2 +- .../include/gudhi/read_persitence_from_file.h | 300 +++++++++++++++++++++ src/Gudhi_stat/include/gudhi/topological_process.h | 34 +-- src/Gudhi_stat/test/persistence_heat_maps_test.cpp | 8 +- .../test/persistence_lanscapes_on_grid_test.cpp | 21 +- src/Gudhi_stat/test/persistence_lanscapes_test.cpp | 13 +- src/Gudhi_stat/test/vector_representation_test.cpp | 11 +- src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp | 2 +- src/Gudhi_stat/utilities/Landscape_bootstrap.cpp | 2 +- .../utilities/Multiplicative_bootstrap.cpp | 2 +- .../compute_distance_of_persistence_heat_maps.cpp | 16 +- ...ute_scalar_product_of_persistence_heat_maps.cpp | 8 +- .../plot_persistence_intervals.cpp | 2 +- .../compute_distance_of_landscapes.cpp | 18 +- .../compute_scalar_product_of_landscapes.cpp | 8 +- .../compute_distance_of_landscapes_on_grid.cpp | 18 +- ...ompute_scalar_product_of_landscapes_on_grid.cpp | 8 +- .../compute_distance_of_persistence_vectors.cpp | 16 +- ...mpute_scalar_product_of_persistence_vectors.cpp | 8 +- 36 files changed, 856 insertions(+), 750 deletions(-) create mode 100644 src/Gudhi_stat/include/gudhi/common_gudhi_stat.h delete mode 100644 src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h create mode 100644 src/Gudhi_stat/include/gudhi/read_persitence_from_file.h (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/persistence_intervals.cpp b/src/Gudhi_stat/example/persistence_intervals.cpp index 6e2b0ddb..04a3d948 100644 --- a/src/Gudhi_stat/example/persistence_intervals.cpp +++ b/src/Gudhi_stat/example/persistence_intervals.cpp @@ -39,67 +39,67 @@ int main( int argc , char** argv ) { if ( argc != 2 ) { - cout << "To run this program, please provide the name of a file with persistence diagram \n"; + std::cout << "To run this program, please provide the name of a file with persistence diagram \n"; return 1; } Persistence_intervals p( argv[1] ); std::pair min_max_ = p.min_max(); - cout << "Birth-death range : " << min_max_.first << " " << min_max_.second << endl; + std::cout << "Birth-death range : " << min_max_.first << " " << min_max_.second << std::endl; std::vector dominant_ten_intervals_length = p.length_of_dominant_intervals(10); - cout << "Lendth of ten dominant intervals : " << endl; + std::cout << "Lendth of ten dominant intervals : " < > ten_dominant_intervals = p.dominant_intervals( 10 ); - cout << "Here are the dominant intervals : " << endl; + std::cout << "Here are the dominant intervals : " < histogram = p.histograms_of_lengths( 10 ); - cout << "Here is the histogram of barcode's length : " << endl; + std::cout << "Here is the histogram of barcode's length : " < cumulative_histogram = p.cumulative_histograms_of_lengths( 10 ); - cout<< "Cumuative histogram : " << endl; + std::cout<< "Cumuative histogram : " < char_funct_diag = p.characteristic_function_of_diagram( min_max_.first , min_max_.second ); - cout << "Characteristic function of diagram : " << endl; + std::cout << "Characteristic function of diagram : " < cumul_char_funct_diag = p.cumulative_characteristic_function_of_diagram( min_max_.first , min_max_.second ); - cout << "Cumulative characteristic function of diagram : " << endl; + std::cout << "Cumulative characteristic function of diagram : " < > pbns = p.compute_persistent_betti_numbers(); for ( size_t i = 0 ; i != pbns.size() ; ++i ) { - cout << pbns[i].first << " " << pbns[i].second << endl; + std::cout << pbns[i].first << " " << pbns[i].second < to_average; - to_average.push_back( &l1 ); - to_average.push_back( &l2 ); - average.compute_average( to_average ); + average.compute_average( {&l1,&l2} ); std::cout << "average : " << average << std::endl; //here is the distance of landscapes: @@ -187,16 +184,13 @@ if ( argc != 2 ) cout << "L^1 distance : " << compute_discance_of_landscapes(p,sum,1) << endl; cout << "L^2 distance : " << compute_discance_of_landscapes(p,sum,2) << endl; - cout << "L^infty distance : " << compute_discance_of_landscapes(p,sum,-1) << endl; + cout << "L^infty distance : " << compute_discance_of_landscapes(p,sum,std::numeric_limits::max() ) << endl; { Persistence_landscape p( "../test/data/file_with_diagram" ); Persistence_landscape q( "../test/data/file_with_diagram_1" ); - std::vector< Abs_Topological_data_with_averages* > to_average; - to_average.push_back( &p ); - to_average.push_back( &q ); Persistence_landscape av; - av.compute_average( to_average ); + av.compute_average( {&p,&q} ); Persistence_landscape template_average; template_average.load_landscape_from_file( "average" ); @@ -212,7 +206,7 @@ if ( argc != 2 ) 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 , -1 ) << endl; + cout << "L^infty distance : " << p.distance( &q , std::numeric_limits::max() ) << endl; } diff --git a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp index 331ae4ae..282acb2d 100644 --- a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp +++ b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp @@ -54,8 +54,8 @@ int main( int argc , char** argv ) Persistence_landscape_on_grid l2( persistence2 , 0 , 11 , 20 ); //This is how to compute integral of landscapes: - std::cout << "Integral of the first landscape : " << l1.compute_integral_of_landscape() << endl; - std::cout << "Integral of the second landscape : " << l2.compute_integral_of_landscape() << endl; + std::cout << "Integral of the first landscape : " << l1.compute_integral_of_landscape() << std::endl; + std::cout << "Integral of the second landscape : " << l2.compute_integral_of_landscape() << std::endl; //And here how to write landscapes to stream: std::cout << "l1 : " << l1 << std::endl; @@ -70,11 +70,8 @@ int main( int argc , char** argv ) std::cout << "L^1 Norm of l2 : " << l2.compute_norm_of_landscape( 1. ) << std::endl; //here is the average of landscapes: - Persistence_landscape_on_grid average; - std::vector< Persistence_landscape_on_grid* > to_average; - to_average.push_back( &l1 ); - to_average.push_back( &l2 ); - average.compute_average( to_average ); + Persistence_landscape_on_grid average; + average.compute_average( {&l1,&l2} ); std::cout << "average : " << average << std::endl; //here is the distance of landscapes: @@ -166,12 +163,9 @@ int main( int argc , char** argv ) /* Persistence_landscape_on_grid p( "file_with_diagram", 0,1,100 ); - Persistence_landscape_on_grid q( "file_with_diagram_1", 0,1,100 ); - std::vector< Abs_Topological_data_with_averages* > to_average; - to_average.push_back( &p ); - to_average.push_back( &q ); + Persistence_landscape_on_grid q( "file_with_diagram_1", 0,1,100 ); Persistence_landscape_on_grid av; - av.compute_average( to_average ); + av.compute_average( {&p,&q} ); av.print_to_file("average_on_a_grid"); Persistence_landscape_on_grid template_average; @@ -186,7 +180,7 @@ int main( int argc , char** argv ) 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 , -1 ) << endl; + cerr << p.distance( &q , std::numeric_limits::max() ) << endl; */ /* diff --git a/src/Gudhi_stat/example/vector_representation.cpp b/src/Gudhi_stat/example/vector_representation.cpp index bb4b5d01..e8963722 100644 --- a/src/Gudhi_stat/example/vector_representation.cpp +++ b/src/Gudhi_stat/example/vector_representation.cpp @@ -66,10 +66,7 @@ int main( int argc , char** argv ) //averages: Vector_distances_in_diagram > average; - std::vector< Vector_distances_in_diagram >* > to_average; - to_average.push_back( &v1 ); - to_average.push_back( &v2 ); - average.compute_average( to_average ); + average.compute_average( {&v1,&v2} ); std::cout << "Average : " << average << std::endl; //computations of distances: @@ -106,13 +103,9 @@ int main( int argc , char** argv ) cout << "p_prime : " < to_average; - to_average.push_back( (Abs_Topological_data_with_averages*)(&p) ); - to_average.push_back( (Abs_Topological_data_with_averages*)(&p_prime) ); - + cout << "Distance between input persistence diagrams : " << p.distance( (Abs_Topological_data_with_distances*)(&p_prime) ) << endl; Vector_distances_in_diagram< Euclidean_distance > average; - average.compute_average( to_average ); + average.compute_average( {&p,&p_prime} ); cout << "Here is an average : " << average << endl; } diff --git a/src/Gudhi_stat/include/gudhi/Hausdorff_distances.h b/src/Gudhi_stat/include/gudhi/Hausdorff_distances.h index de39ad7d..39de764e 100644 --- a/src/Gudhi_stat/include/gudhi/Hausdorff_distances.h +++ b/src/Gudhi_stat/include/gudhi/Hausdorff_distances.h @@ -29,6 +29,11 @@ #include #include +namespace Gudhi +{ +namespace Gudhi_stat +{ + /** * This file contains various implementations of Hausrodff distances between collections of points. It contains various implementations that can be used for specific case. @@ -138,5 +143,7 @@ public: }; +}//namespace Gudhi_stat +}//namespace Gudhi #endif diff --git a/src/Gudhi_stat/include/gudhi/bootstrap.h b/src/Gudhi_stat/include/gudhi/bootstrap.h index ca40f9c7..83edb2e1 100644 --- a/src/Gudhi_stat/include/gudhi/bootstrap.h +++ b/src/Gudhi_stat/include/gudhi/bootstrap.h @@ -23,11 +23,6 @@ #ifndef BOOTSTRAP_H #define BOOTSTRAP_H -//concretizations -#include -#include -#include -#include #ifdef GUDHI_USE_TBB #include @@ -39,6 +34,11 @@ #include #include +namespace Gudhi +{ +namespace Gudhi_stat +{ + /** * This is a generic function to perform bootstrap. * In this function we assume that there is a class to compute characteristic of collection of points (PointCloudCharacteristics) and that it stores coordinates of all points. It allows to compute the characteristic @@ -140,4 +140,9 @@ double bootstrap( size_t number_of_points , CharacteristicFunction f , DistanceB }//bootstrap + + +}//namespace Gudhi_stat +}//namespace Gudhi + #endif diff --git a/src/Gudhi_stat/include/gudhi/common.h b/src/Gudhi_stat/include/gudhi/common.h index d573a92a..916b4499 100644 --- a/src/Gudhi_stat/include/gudhi/common.h +++ b/src/Gudhi_stat/include/gudhi/common.h @@ -20,9 +20,13 @@ * along with this program. If not, see . */ -#pragma once +#ifndef HAUSDORFF_DISTANCES_H +#define HAUSDORFF_DISTANCES_H //this file contain an implementation of some common procedures used in Gudhi_stat. + + + //double epsi = std::numeric_limits::epsilon(); double epsi = 0.000005; diff --git a/src/Gudhi_stat/include/gudhi/common_gudhi_stat.h b/src/Gudhi_stat/include/gudhi/common_gudhi_stat.h new file mode 100644 index 00000000..1767b1be --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/common_gudhi_stat.h @@ -0,0 +1,160 @@ +/* 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 . + */ + +#ifndef common_gudhi_stat_H +#define common_gudhi_stat_H + + +namespace Gudhi +{ +namespace Gudhi_stat +{ + //this file contain an implementation of some common procedures used in Gudhi_stat. + + //double epsi = std::numeric_limits::epsilon(); +double epsi = 0.000005; + + +double plus_( double a,double b ){return a+b;} +double minus_( double a,double b ){return a-b;} + + + +/** + * A procedure used to compare doubles. Typically gien two doubles A and B, comparing A == B is not good idea. In this case, we use the procedure almostEqual with the epsi defined at + * the top of the file. Setting up the epsi give the user a tolerance on what should be consider equal. +**/ +inline bool almost_equal( double a , double b ) +{ + if ( fabs(a-b) < epsi ) + return true; + return false; +} + + + + +//landscapes +/** + * Extra functions needed in construction of barcodes. +**/ +double minus_length( std::pair a ) +{ + return a.first-a.second; +} +double birth_plus_deaths( std::pair a ) +{ + return a.first+a.second; +} + + +//landscapes +/** + * Given two points in R^2, the procedure compute the parameters A and B of the line y = Ax + B that crosses those two points. +**/ +std::pair compute_parameters_of_a_line( std::pair p1 , std::pair p2 ) +{ + double a = (p2.second-p1.second)/( p2.first - p1.first ); + double b = p1.second - a*p1.first; + return std::make_pair(a,b); +} + +//landscapes +/** + * This procedure given two points which lies on the opposide sides of x axis, compute x for which the line connecting those two points crosses x axis. +**/ +double find_zero_of_a_line_segment_between_those_two_points ( std::pair p1, std::pair p2 ) +{ + if ( p1.first == p2.first )return p1.first; + if ( p1.second*p2.second > 0 ) + { + std::ostringstream errMessage; + errMessage <<"In function find_zero_of_a_line_segment_between_those_two_points the agguments are: (" << p1.first << "," << p1.second << ") and (" << p2.first << "," << p2.second << "). There is no zero in line between those two points. Program terminated."; + std::string errMessageStr = errMessage.str(); + const char* err = errMessageStr.c_str(); + throw(err); + } + //we assume here, that x \in [ p1.first, p2.first ] and p1 and p2 are points between which we will put the line segment + double a = (p2.second - p1.second)/(p2.first - p1.first); + double b = p1.second - a*p1.first; + //cerr << "Line crossing points : (" << p1.first << "," << p1.second << ") oraz (" << p2.first << "," << p2.second << ") : \n"; + //cerr << "a : " << a << " , b : " << b << " , x : " << x << endl; + return -b/a; +} + + + +//landscapes +/** + * Lexicographical ordering of points . +**/ +bool compare_points_sorting( std::pair f, std::pair s ) +{ + if ( f.first < s.first ) + { + return true; + } + else + {//f.first >= s.first + if ( f.first > s.first ) + { + return false; + } + else + {//f.first == s.first + if ( f.second > s.second ) + { + return true; + } + else + { + return false; + } + } + } +} + + +//landscapes +/** + * This procedure takes two points in R^2 and a double value x. It conputes the line pasing through those two points and return the value of that linear function at x. +**/ +double function_value ( std::pair p1, std::pair p2 , double x ) +{ + //we assume here, that x \in [ p1.first, p2.first ] and p1 and p2 are points between which we will put the line segment + double a = (p2.second - p1.second)/(p2.first - p1.first); + double b = p1.second - a*p1.first; + return (a*x+b); +} + +//landscapes on a grid +struct greater_landscapes_on_grid +{ + template + bool operator()(T const &a, T const &b) const { return a > b; } +}; + + +}//namespace Gudhi_stat +}//namespace Gudhi + +#endif diff --git a/src/Gudhi_stat/include/gudhi/concretizations/PSSK.h b/src/Gudhi_stat/include/gudhi/concretizations/PSSK.h index e61711f4..89da2a2d 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/PSSK.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/PSSK.h @@ -95,9 +95,9 @@ void PSSK::construct( const std::vector< std::pair >& intervals_ if ( dbg ) { - cerr << "min_ : " << min_ << endl; - cerr << "max_ : " << max_ << endl; - cerr << "number_of_pixels : " << number_of_pixels << endl; + std::cerr << "min_ : " << min_ << std::endl; + std::cerr << "max_ : " << max_ << std::endl; + std::cerr << "number_of_pixels : " << number_of_pixels << std::endl; getchar(); } @@ -115,7 +115,7 @@ void PSSK::construct( const std::vector< std::pair >& intervals_ } this->heat_map = heat_map_; - if (dbg)cerr << "Done creating of the heat map, now we will fill in the structure \n"; + if (dbg)std::cerr << "Done creating of the heat map, now we will fill in the structure \n"; for ( size_t pt_nr = 0 ; pt_nr != intervals_.size() ; ++pt_nr ) { @@ -125,9 +125,9 @@ void PSSK::construct( const std::vector< std::pair >& intervals_ if ( dbg ) { - std::cerr << "point : " << intervals_[pt_nr].first << " , " << intervals_[pt_nr].second << endl; - std::cerr << "x_grid : " << x_grid << endl; - std::cerr << "y_grid : " << y_grid << endl; + std::cerr << "point : " << intervals_[pt_nr].first << " , " << intervals_[pt_nr].second << std::endl; + std::cerr << "x_grid : " << x_grid << std::endl; + std::cerr << "y_grid : " << y_grid << std::endl; } //x_grid and y_grid gives a center of the kernel. We want to have its lower left cordner. To get this, we need to shift x_grid and y_grid by a grid diameter. @@ -138,8 +138,8 @@ void PSSK::construct( const std::vector< std::pair >& intervals_ if ( dbg ) { std::cerr << "After shift : \n";; - std::cerr << "x_grid : " << x_grid << endl; - std::cerr << "y_grid : " << y_grid << endl; + std::cerr << "x_grid : " << x_grid << std::endl; + std::cerr << "y_grid : " << y_grid << std::endl; std::cerr << "filter.size() : " << filter.size() << std::endl; getchar(); } diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h index 83583a57..22df8d8e 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h @@ -33,12 +33,11 @@ #include //gudhi include -#include +#include #include -using namespace std; namespace Gudhi { @@ -71,8 +70,8 @@ std::vector< std::vector > create_Gaussian_filter( size_t pixel_radius , if ( dbg ) { std::cerr << "Kernel initalize \n"; - cerr << "pixel_radius : " << pixel_radius << endl; - std::cerr << "kernel.size() : " << kernel.size() << endl; + std::cerr << "pixel_radius : " << pixel_radius << std::endl; + std::cerr << "kernel.size() : " << kernel.size() << std::endl; getchar(); } @@ -277,12 +276,12 @@ public: /** * Return minimal range value of persistent image. **/ - inline double gimme_min()const{return this->min_;} + inline double give_me_min()const{return this->min_;} /** * Return maximal range value of persistent image. **/ - inline double gimme_max()const{return this->max_;} + inline double give_me_max()const{return this->max_;} /** @@ -329,8 +328,9 @@ public: void plot( const char* filename )const; - //implementation of arythmetic operations: - + /** + * Binary (arythmetic) operation on two Persistence_heat_maps. + **/ friend Persistence_heat_maps operation_on_pair_of_heat_maps( const Persistence_heat_maps& first , const Persistence_heat_maps& second , double (*opertion)( double,double ) ) { //first check if the heat maps are compatible @@ -356,6 +356,10 @@ public: return result; }//operation_on_pair_of_heat_maps + + /** + * Multiplication of Persistence_heat_maps by scalar (so that all values of the heat map gets multiplied by that scalar). + **/ Persistence_heat_maps multiply_by_scalar( double scalar )const { Persistence_heat_maps result; @@ -376,42 +380,42 @@ public: } /** - * This function computes a sum of two objects of a type Vector_distances_in_diagram. + * This function computes a sum of two objects of a type Persistence_heat_maps. **/ friend Persistence_heat_maps operator+( const Persistence_heat_maps& first , const Persistence_heat_maps& second ) { return operation_on_pair_of_heat_maps( first , second , plus_ ); } /** - * This function computes a difference of two objects of a type Vector_distances_in_diagram. + * This function computes a difference of two objects of a type Persistence_heat_maps. **/ friend Persistence_heat_maps operator-( const Persistence_heat_maps& first , const Persistence_heat_maps& second ) { return operation_on_pair_of_heat_maps( first , second , minus_ ); } /** - * This function computes a product of an object of a type Vector_distances_in_diagram with real number. + * This function computes a product of an object of a type Persistence_heat_maps with real number. **/ friend Persistence_heat_maps operator*( double scalar , const Persistence_heat_maps& A ) { return A.multiply_by_scalar( scalar ); } /** - * This function computes a product of an object of a type Vector_distances_in_diagram with real number. + * This function computes a product of an object of a type Persistence_heat_maps with real number. **/ friend Persistence_heat_maps operator*( const Persistence_heat_maps& A , double scalar ) { return A.multiply_by_scalar( scalar ); } /** - * This function computes a product of an object of a type Vector_distances_in_diagram with real number. + * This function computes a product of an object of a type Persistence_heat_maps with real number. **/ Persistence_heat_maps operator*( double scalar ) { return this->multiply_by_scalar( scalar ); } /** - * += operator for Vector_distances_in_diagram. + * += operator for Persistence_heat_maps. **/ Persistence_heat_maps operator += ( const Persistence_heat_maps& rhs ) { @@ -419,7 +423,7 @@ public: return *this; } /** - * -= operator for Vector_distances_in_diagram. + * -= operator for Persistence_heat_maps. **/ Persistence_heat_maps operator -= ( const Persistence_heat_maps& rhs ) { @@ -427,7 +431,7 @@ public: return *this; } /** - * *= operator for Vector_distances_in_diagram. + * *= operator for Persistence_heat_maps. **/ Persistence_heat_maps operator *= ( double x ) { @@ -435,7 +439,7 @@ public: return *this; } /** - * /= operator for Vector_distances_in_diagram. + * /= operator for Persistence_heat_maps. **/ Persistence_heat_maps operator /= ( double x ) { @@ -475,6 +479,7 @@ public: * A function to compute distance between persistence heat maps. * The parameter of this function is a const reference to an object of a class Persistence_heat_maps. * This function is required in Topological_data_with_distances concept. + * For max norm distance, set power to std::numeric_limits::max() **/ double distance( const Persistence_heat_maps& second_ , double power = 1)const; @@ -497,7 +502,7 @@ public: /** * The x-range of the persistence heat map. **/ - std::pair< double , double > gimme_x_range()const + std::pair< double , double > give_me_x_range()const { return std::make_pair( this->min_ , this->max_ ); } @@ -505,9 +510,9 @@ public: /** * The y-range of the persistence heat map. **/ - std::pair< double , double > gimme_y_range()const + std::pair< double , double > give_me_y_range()const { - return this->gimme_x_range(); + return this->give_me_x_range(); } @@ -571,9 +576,9 @@ void Persistence_heat_maps::construct( const std::vector< s if ( dbg ) { - cerr << "min_ : " << min_ << endl; - cerr << "max_ : " << max_ << endl; - cerr << "number_of_pixels : " << number_of_pixels << endl; + std::cerr << "min_ : " << min_ << std::endl; + std::cerr << "max_ : " << max_ << std::endl; + std::cerr << "number_of_pixels : " << number_of_pixels << std::endl; getchar(); } @@ -589,7 +594,7 @@ void Persistence_heat_maps::construct( const std::vector< s } this->heat_map = heat_map_; - if (dbg)cerr << "Done creating of the heat map, now we will fill in the structure \n"; + if (dbg)std::cerr << "Done creating of the heat map, now we will fill in the structure \n"; for ( size_t pt_nr = 0 ; pt_nr != intervals_.size() ; ++pt_nr ) { @@ -599,9 +604,9 @@ void Persistence_heat_maps::construct( const std::vector< s if ( dbg ) { - std::cerr << "point : " << intervals_[pt_nr].first << " , " << intervals_[pt_nr].second << endl; - std::cerr << "x_grid : " << x_grid << endl; - std::cerr << "y_grid : " << y_grid << endl; + std::cerr << "point : " << intervals_[pt_nr].first << " , " << intervals_[pt_nr].second << std::endl; + std::cerr << "x_grid : " << x_grid << std::endl; + std::cerr << "y_grid : " << y_grid << std::endl; } //x_grid and y_grid gives a center of the kernel. We want to have its lower left cordner. To get this, we need to shift x_grid and y_grid by a grid diameter. @@ -612,8 +617,8 @@ void Persistence_heat_maps::construct( const std::vector< s if ( dbg ) { std::cerr << "After shift : \n";; - std::cerr << "x_grid : " << x_grid << endl; - std::cerr << "y_grid : " << y_grid << endl; + std::cerr << "x_grid : " << x_grid << std::endl; + std::cerr << "y_grid : " << y_grid << std::endl; } double scaling_value = this->f(intervals_[pt_nr]); @@ -782,7 +787,7 @@ void Persistence_heat_maps::compute_percentage_of_active( c template void Persistence_heat_maps::plot( const char* filename )const { - ofstream out; + std::ofstream out; std::stringstream ss; ss << filename << "_GnuplotScript"; @@ -794,7 +799,7 @@ void Persistence_heat_maps::plot( const char* filename )con { out << this->heat_map[i][j] << " "; } - out << endl; + out << std::endl; } out.close(); std::cout << "Gnuplot script have been created. Open gnuplot and type load \'" << ss.str().c_str() << "\' to see the picture." << std::endl; @@ -805,7 +810,7 @@ template void Persistence_heat_maps::print_to_file( const char* filename )const { - ofstream out; + std::ofstream out; out.open( filename ); //First we store this->min_ and this->max_ values: @@ -816,7 +821,7 @@ void Persistence_heat_maps::print_to_file( const char* file { out << this->heat_map[i][j] << " "; } - out << endl; + out << std::endl; } out.close(); } @@ -826,13 +831,13 @@ void Persistence_heat_maps::load_from_file( const char* fil { bool dbg = false; - ifstream in; + std::ifstream in; in.open( filename ); //checking if the file exist / if it was open. if ( !( access( filename, F_OK ) != -1 ) ) { - cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; } @@ -918,11 +923,28 @@ double Persistence_heat_maps::distance( const Persistence_h //if we are here, we know that the two persistence iomages are defined on the same domain, so we can start computing their distances: double distance = 0; - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + if ( power != std::numeric_limits::max() ) { - for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + distance += pow( fabs(this->heat_map[i][j] - second.heat_map[i][j]) , power ); + } + } + } + else + { + //in this case, we compute max norm distance + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) { - distance += pow( abs(this->heat_map[i][j] - second.heat_map[i][j]) , power ); + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + if ( distance < fabs(this->heat_map[i][j] - second.heat_map[i][j]) ) + { + distance = fabs(this->heat_map[i][j] - second.heat_map[i][j]); + } + } } } return distance; diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h index b917de69..3bd98835 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h @@ -24,7 +24,7 @@ #define Persistence_intervals_H_ //gudhi include -#include +#include //standard include #include @@ -66,7 +66,7 @@ public: /** * This procedure returns x-range of a given persistence diagram. **/ - std::pair< double , double > gimme_x_range()const + std::pair< double , double > give_me_x_range()const { double min_ = std::numeric_limits::max(); double max_ = -std::numeric_limits::max(); @@ -81,7 +81,7 @@ public: /** * This procedure returns y-range of a given persistence diagram. **/ - std::pair< double , double > gimme_y_range()const + std::pair< double , double > give_me_y_range()const { double min_ = std::numeric_limits::max(); double max_ = -std::numeric_limits::max(); @@ -478,7 +478,7 @@ std::vector< double > Persistence_intervals::characteristic_function_of_diagram( beginIt = number_of_bins*(this->intervals[i].first-x_min)/(x_max - x_min); } - size_t endIt; + size_t endIt = 0; if ( this->intervals[i].second < x_min )endIt = 0; if ( this->intervals[i].second >= x_max )endIt = result.size(); if ( ( this->intervals[i].second > x_min ) && ( this->intervals[i].second < x_max ) ) diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h index fd6837c0..bd41e1bd 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h @@ -36,9 +36,8 @@ //gudhi include -#include +#include #include -using namespace std; @@ -75,16 +74,6 @@ public: **/ Persistence_landscape( const std::vector< std::pair< double , double > >& p ); - /** - * Assignement operator. - **/ - Persistence_landscape& operator=( const Persistence_landscape& org ); - - /** - * Copy constructor. - **/ - Persistence_landscape(const Persistence_landscape&); - /** * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. @@ -141,7 +130,7 @@ public: /** - * A function that compute sum of two landscapes. + *\private A function that compute sum of two landscapes. **/ friend Persistence_landscape add_two_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 ) { @@ -149,7 +138,7 @@ public: } /** - * A function that compute difference of two landscapes. + *\private A function that compute difference of two landscapes. **/ friend Persistence_landscape subtract_two_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 ) { @@ -189,7 +178,7 @@ public: } /** - * Operator +=. The second parameter is persistnece landwscape. + * Operator +=. The second parameter is persistence landscape. **/ Persistence_landscape operator += ( const Persistence_landscape& rhs ) { @@ -198,7 +187,7 @@ public: } /** - * Operator -=. The second parameter is persistnece landwscape. + * Operator -=. The second parameter is a persistence landscape. **/ Persistence_landscape operator -= ( const Persistence_landscape& rhs ) { @@ -282,13 +271,13 @@ public: double compute_norm_of_landscape( double i ) { Persistence_landscape l; - if ( i != -1 ) + if ( i != std::numeric_limits< double >::max() ) { - return compute_discance_of_landscapes(*this,l,i); + return compute_distance_of_landscapes(*this,l,i); } else { - return compute_max_norm_discance_of_landscapes(*this,l); + return compute_max_norm_distance_of_landscapes(*this,l); } } @@ -300,14 +289,14 @@ public: /** * Computations of L^{\infty} distance between two landscapes. **/ - friend double compute_max_norm_discance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second ); - //friend double compute_max_norm_discance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second , unsigned& nrOfLand , double&x , double& y1, double& y2 ); + friend double compute_max_norm_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second ); + //friend double compute_max_norm_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second , unsigned& nrOfLand , double&x , double& y1, double& y2 ); /** * Computations of L^{p} distance between two landscapes. p is the parameter of the procedure. **/ - friend double compute_discance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second , int p ); + friend double compute_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second , double p ); @@ -411,12 +400,12 @@ public: while ( nextLevelMerge.size() != 1 ) { - if ( dbg ){cerr << "nextLevelMerge.size() : " << nextLevelMerge.size() << endl;} + if ( dbg ){std::cerr << "nextLevelMerge.size() : " << nextLevelMerge.size() << std::endl;} std::vector< Persistence_landscape* > nextNextLevelMerge; nextNextLevelMerge.reserve( to_average.size() ); for ( size_t i = 0 ; i < nextLevelMerge.size() ; i=i+2 ) { - if ( dbg ){cerr << "i : " << i << endl;} + if ( dbg ){std::cerr << "i : " << i << std::endl;} Persistence_landscape* l = new Persistence_landscape; if ( i+1 != nextLevelMerge.size() ) { @@ -428,7 +417,7 @@ public: } nextNextLevelMerge.push_back( l ); } - if ( dbg ){cerr << "After this iteration \n";getchar();} + if ( dbg ){std::cerr << "After this iteration \n";getchar();} if ( !is_this_first_level ) { @@ -450,16 +439,17 @@ public: * A function to compute distance between persistence landscape. * The parameter of this functionis a Persistence_landscape. * This function is required in Topological_data_with_distances concept. + * For max norm distance, set power to std::numeric_limits::max() **/ double distance( const Persistence_landscape& second , double power = 1 )const { - if ( power != -1 ) + if ( power != std::numeric_limits::max() ) { - return compute_discance_of_landscapes( *this , second , power ); + return compute_distance_of_landscapes( *this , second , power ); } else { - return compute_max_norm_discance_of_landscapes( *this , second ); + return compute_max_norm_distance_of_landscapes( *this , second ); } } @@ -480,7 +470,7 @@ public: * This procedure returns x-range of a given level persistence landscape. If a default value is used, the x-range * of 0th level landscape is given (and this range contains the ranges of all other landscapes). **/ - std::pair< double , double > gimme_x_range( size_t level = 0 )const + std::pair< double , double > give_me_x_range( size_t level = 0 )const { std::pair< double , double > result; if ( level < this->land.size() ) @@ -498,7 +488,7 @@ public: * This procedure returns y-range of a given level persistence landscape. If a default value is used, the y-range * of 0th level landscape is given (and this range contains the ranges of all other landscapes). **/ - std::pair< double , double > gimme_y_range( size_t level = 0 )const + std::pair< double , double > give_me_y_range( size_t level = 0 )const { std::pair< double , double > result; if ( level < this->land.size() ) @@ -561,17 +551,7 @@ protected: }; -Persistence_landscape::Persistence_landscape(const Persistence_landscape& oryginal) -{ - //std::cerr << "Running copy constructor \n"; - std::vector< std::vector< std::pair > > land( oryginal.land.size() ); - for ( size_t i = 0 ; i != oryginal.land.size() ; ++i ) - { - land[i].insert( land[i].end() , oryginal.land[i].begin() , oryginal.land[i].end() ); - } - this->land = land; - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); -} + @@ -615,7 +595,7 @@ bool Persistence_landscape::operator == ( const Persistence_landscape& rhs )con { if ( !( almost_equal(this->land[level][i].first , rhs.land[level][i].first) && almost_equal(this->land[level][i].second , rhs.land[level][i].second) ) ) { - //cerr<< this->land[level][i].first << " , " << rhs.land[level][i].first << " and " << this->land[level][i].second << " , " << rhs.land[level][i].second << endl; + //std::cerr<< this->land[level][i].first << " , " << rhs.land[level][i].first << " and " << this->land[level][i].second << " , " << rhs.land[level][i].second << std::endl; if (operatorEqualDbg)std::cerr << "this->land[level][i] : " << this->land[level][i].first << " " << this->land[level][i].second << "\n"; if (operatorEqualDbg)std::cerr << "rhs.land[level][i] : " << rhs.land[level][i].first << " " << rhs.land[level][i].second << "\n"; if (operatorEqualDbg)std::cerr << "3\n"; @@ -627,17 +607,6 @@ bool Persistence_landscape::operator == ( const Persistence_landscape& rhs )con } -Persistence_landscape& Persistence_landscape::operator=( const Persistence_landscape& oryginal ) -{ - std::vector< std::vector< std::pair > > land( oryginal.land.size() ); - for ( size_t i = 0 ; i != oryginal.land.size() ; ++i ) - { - land[i].insert( land[i].end() , oryginal.land[i].begin() , oryginal.land[i].end() ); - } - this->land = land; - return *this; -} - Persistence_landscape::Persistence_landscape( const std::vector< std::pair< double , double > > & p ) @@ -650,7 +619,7 @@ Persistence_landscape::Persistence_landscape( const std::vector< std::pair< doub void Persistence_landscape::construct_persistence_landscape_from_barcode( const std::vector< std::pair< double , double > > & p ) { bool dbg = false; - if ( dbg ){cerr << "Persistence_landscape::Persistence_landscape( const std::vector< std::pair< double , double > >& p )" << endl;} + if ( dbg ){std::cerr << "Persistence_landscape::Persistence_landscape( const std::vector< std::pair< double , double > >& p )" << std::endl;} //this is a general algorithm to construct persistence landscapes. std::vector< std::pair > bars; @@ -889,7 +858,7 @@ double Persistence_landscape::compute_value_at_a_given_point( unsigned level , d if ( compute_value_at_a_given_pointDbg ) { - std::cerr << "Tutaj \n"; + std::cerr << "Here \n"; std::cerr << "x : " << x << "\n"; std::cerr << "this->land[level][coordBegin].first : " << this->land[level][coordBegin].first << "\n"; std::cerr << "this->land[level][coordEnd].first : " << this->land[level][coordEnd].first << "\n"; @@ -1074,7 +1043,7 @@ void Persistence_landscape::load_landscape_from_file( const char* filename ) in.open( filename ); if ( !( access( filename, F_OK ) != -1 ) ) { - cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; } @@ -1326,7 +1295,7 @@ double compute_maximal_distance_non_symmetric( const Persistence_landscape& pl1, -double compute_discance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second , int p ) +double compute_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second , double p ) { bool dbg = false; //This is what we want to compute: (\int_{- \infty}^{+\infty}| first-second |^p)^(1/p). We will do it one step at a time: @@ -1337,9 +1306,9 @@ double compute_discance_of_landscapes( const Persistence_landscape& first, const //| first-second |: lan = lan.abs(); - if ( dbg ){cerr << "Abs of difference ; " << lan << endl;getchar();} + if ( dbg ){std::cerr << "Abs of difference ; " << lan << std::endl;getchar();} - if ( p != -1 ) + if ( p != std::numeric_limits::max() ) { //\int_{- \infty}^{+\infty}| first-second |^p double result; @@ -1358,13 +1327,13 @@ double compute_discance_of_landscapes( const Persistence_landscape& first, const } else { - //p == -1 - if ( dbg )std::cerr << "Power = -1, compute maximum \n"; + //p == infty + if ( dbg )std::cerr << "Power = infty, compute maximum \n"; return lan.compute_maximum(); } } -double compute_max_norm_discance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second ) +double compute_max_norm_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second ) { return std::max( compute_maximal_distance_non_symmetric(first,second) , compute_maximal_distance_non_symmetric(second,first) ); } @@ -1385,7 +1354,7 @@ double compute_inner_product( const Persistence_landscape& l1 , const Persistenc for ( size_t level = 0 ; level != std::min( l1.size() , l2.size() ) ; ++level ) { - if ( dbg ){cerr << "Computing inner product for a level : " << level << endl;getchar();} + if ( dbg ){std::cerr << "Computing inner product for a level : " << level << std::endl;getchar();} if ( l1.land[level].size() * l2.land[level].size() == 0 )continue; //endpoints of the interval on which we will compute the inner product of two locally linear functions: @@ -1437,12 +1406,12 @@ double compute_inner_product( const Persistence_landscape& l1 , const Persistenc if ( dbg ) { - cerr << "[l1.land[level][l1It].first,l1.land[level][l1It+1].first] : " << l1.land[level][l1It].first << " , " << l1.land[level][l1It+1].first << endl; - cerr << "[l2.land[level][l2It].first,l2.land[level][l2It+1].first] : " << l2.land[level][l2It].first << " , " << l2.land[level][l2It+1].first << endl; - cerr << "a : " << a << ", b : " << b << " , c: " << c << ", d : " << d << endl; - cerr << "x1 : " << x1 << " , x2 : " << x2 << endl; - cerr << "contributionFromThisPart : " << contributionFromThisPart << endl; - cerr << "result : " << result << endl; + std::cerr << "[l1.land[level][l1It].first,l1.land[level][l1It+1].first] : " << l1.land[level][l1It].first << " , " << l1.land[level][l1It+1].first << std::endl; + std::cerr << "[l2.land[level][l2It].first,l2.land[level][l2It+1].first] : " << l2.land[level][l2It].first << " , " << l2.land[level][l2It+1].first << std::endl; + std::cerr << "a : " << a << ", b : " << b << " , c: " << c << ", d : " << d << std::endl; + std::cerr << "x1 : " << x1 << " , x2 : " << x2 << std::endl; + std::cerr << "contributionFromThisPart : " << contributionFromThisPart << std::endl; + std::cerr << "result : " << result << std::endl; getchar(); } @@ -1458,11 +1427,11 @@ double compute_inner_product( const Persistence_landscape& l1 , const Persistenc { //in this case, we increment both: ++l2It; - if ( dbg ){cerr << "Incrementing both \n";} + if ( dbg ){std::cerr << "Incrementing both \n";} } else { - if ( dbg ){cerr << "Incrementing first \n";} + if ( dbg ){std::cerr << "Incrementing first \n";} } ++l1It; } @@ -1470,7 +1439,7 @@ double compute_inner_product( const Persistence_landscape& l1 , const Persistenc { //in this case we increment l2It ++l2It; - if ( dbg ){cerr << "Incrementing second \n";} + if ( dbg ){std::cerr << "Incrementing second \n";} } //Now, we shift x1 and x2: x1 = x2; @@ -1493,7 +1462,7 @@ double compute_inner_product( const Persistence_landscape& l1 , const Persistenc void Persistence_landscape::plot( const char* filename, double xRangeBegin , double xRangeEnd , double yRangeBegin , double yRangeEnd , int from , int to ) { //this program create a gnuplot script file that allows to plot persistence diagram. - ofstream out; + std::ofstream out; std::ostringstream nameSS; nameSS << filename << "_GnuplotScript"; @@ -1502,8 +1471,8 @@ void Persistence_landscape::plot( const char* filename, double xRangeBegin , do if ( (xRangeBegin != -1) || (xRangeEnd != -1) || (yRangeBegin != -1) || (yRangeEnd != -1) ) { - out << "set xrange [" << xRangeBegin << " : " << xRangeEnd << "]" << endl; - out << "set yrange [" << yRangeBegin << " : " << yRangeEnd << "]" << endl; + out << "set xrange [" << xRangeBegin << " : " << xRangeEnd << "]" << std::endl; + out << "set yrange [" << yRangeBegin << " : " << yRangeEnd << "]" << std::endl; } if ( from == -1 ){from = 0;} @@ -1518,18 +1487,18 @@ void Persistence_landscape::plot( const char* filename, double xRangeBegin , do { out << ", \\"; } - out << endl; + out << std::endl; } for ( size_t lambda= std::min((size_t)from,this->land.size()) ; lambda != std::min((size_t)to,this->land.size()) ; ++lambda ) { for ( size_t i = 1 ; i != this->land[lambda].size()-1 ; ++i ) { - out << this->land[lambda][i].first << " " << this->land[lambda][i].second << endl; + out << this->land[lambda][i].first << " " << this->land[lambda][i].second << std::endl; } - out << "EOF" << endl; + out << "EOF" << std::endl; } - cout << "Gnuplot script to visualize persistence diagram written to the file: " << nameStr << ". Type load '" << nameStr << "' in gnuplot to visualize." << endl; + std::cout << "Gnuplot script to visualize persistence diagram written to the file: " << nameStr << ". Type load '" << nameStr << "' in gnuplot to visualize." << std::endl; } diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h index 6ac4deca..be60f858 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h @@ -1,7 +1,7 @@ /* This file is part of the Gudhi Library. The Gudhi library * (Geometric Understanding in Higher Dimensions) is a generic C++ * library for computational topology. - * + *h * Author(s): Pawel Dlotko * * Copyright (C) 2015 INRIA (France) @@ -37,14 +37,11 @@ //gudhi include -#include +#include #include -using namespace std; - - namespace Gudhi { namespace Gudhi_stat @@ -68,17 +65,7 @@ public: * Constructor that takes as an input a vector of birth-death pairs. **/ Persistence_landscape_on_grid( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_ ); - - /** - * Assignement operator. - **/ - Persistence_landscape_on_grid& operator=( const Persistence_landscape_on_grid& org ); - - /** - * Copy constructor. - **/ - Persistence_landscape_on_grid(const Persistence_landscape_on_grid&); - + /** * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. The additional parameters of this procedure are: ranges of grid, resoltion of a grid @@ -133,9 +120,9 @@ public: if ( dbg ) { - cerr << "this->grid_max : " << this->grid_max << endl; - cerr << "this->grid_min : " << this->grid_min << endl; - cerr << "this->values_of_landscapes.size() : " << this->values_of_landscapes.size() << endl; + std::cerr << "this->grid_max : " << this->grid_max << std::endl; + std::cerr << "this->grid_min : " << this->grid_min << std::endl; + std::cerr << "this->values_of_landscapes.size() : " << this->values_of_landscapes.size() << std::endl; getchar(); } @@ -150,12 +137,12 @@ public: if ( dbg ) { - cerr << "this->values_of_landscapes[i].size() : " << this->values_of_landscapes[i].size() << " , level : " << level << endl; - if ( this->values_of_landscapes[i].size() > level )cerr << "this->values_of_landscapes[i][level] : " << this->values_of_landscapes[i][level] << endl; - cerr << "previous_y : " << previous_y << endl; - cerr << "current_y : " << current_y << endl; - cerr << "dx : " << dx << endl; - cerr << "0.5*dx*( previous_y + current_y ); " << 0.5*dx*( previous_y + current_y ) << endl; + std::cerr << "this->values_of_landscapes[i].size() : " << this->values_of_landscapes[i].size() << " , level : " << level << std::endl; + if ( this->values_of_landscapes[i].size() > level )std::cerr << "this->values_of_landscapes[i][level] : " << this->values_of_landscapes[i][level] << std::endl; + std::cerr << "previous_y : " << previous_y << std::endl; + std::cerr << "current_y : " << current_y << std::endl; + std::cerr << "dx : " << dx << std::endl; + std::cerr << "0.5*dx*( previous_y + current_y ); " << 0.5*dx*( previous_y + current_y ) << std::endl; } result += 0.5*dx*( previous_y + current_y ); @@ -194,10 +181,10 @@ public: if ( dbg ) { - cerr << "dx : " << dx << endl; - cerr << "previous_x : " << previous_x << endl; - cerr << "previous_y : " << previous_y << endl; - cerr << "power : " << p << endl; + std::cerr << "dx : " << dx << std::endl; + std::cerr << "previous_x : " << previous_x << std::endl; + std::cerr << "previous_y : " << previous_y << std::endl; + std::cerr << "power : " << p << std::endl; getchar(); } @@ -207,7 +194,7 @@ public: double current_y = 0; if ( this->values_of_landscapes[i].size() > level )current_y = this->values_of_landscapes[i][level]; - if ( dbg )cerr << "current_y : " << current_y << endl; + if ( dbg )std::cerr << "current_y : " << current_y << std::endl; if ( current_y == previous_y )continue; @@ -217,7 +204,7 @@ public: if ( dbg ) { - cerr << "A line passing through points : (" << previous_x << "," << previous_y << ") and (" << current_x << "," << current_y << ") is : " << a << "x+" << b << endl; + std::cerr << "A line passing through points : (" << previous_x << "," << previous_y << ") and (" << current_x << "," << current_y << ") is : " << a << "x+" << b << std::endl; } //In this interval, the landscape has a form f(x) = ax+b. We want to compute integral of (ax+b)^p = 1/a * (ax+b)^{p+1}/(p+1) @@ -233,14 +220,14 @@ public: result += value_to_add; if ( dbg ) { - cerr << "Increasing result by : " << value_to_add << endl; - cerr << "restult : " << result << endl; + std::cerr << "Increasing result by : " << value_to_add << std::endl; + std::cerr << "restult : " << result << std::endl; getchar(); } previous_x = current_x; previous_y = current_y; } - if ( dbg )cerr << "The total result is : " << result << endl; + if ( dbg )std::cerr << "The total result is : " << result << std::endl; return result; } @@ -259,7 +246,7 @@ public: { out << land.values_of_landscapes[i][j] << " "; } - out << endl; + out << std::endl; x += dx; } return out; @@ -282,9 +269,9 @@ public: if ( dbg ) { std::cerr << "This is a procedure compute_value_at_a_given_point \n"; - std::cerr << "level : " << level << endl; - std::cerr << "x : " << x << endl; - std::cerr << "psoition : " << position << endl; + std::cerr << "level : " << level << std::endl; + std::cerr << "x : " << x << std::endl; + std::cerr << "psoition : " << position << std::endl; } //check if we are not exacly in the grid point: if ( almost_equal( position*dx+ this->grid_min , x) ) @@ -430,17 +417,17 @@ public: bool dbg = true; if ( ! this->values_of_landscapes.size() == rhs.values_of_landscapes.size() ) { - if (dbg) cerr << "values_of_landscapes of incompatable sizes\n"; + if (dbg) std::cerr << "values_of_landscapes of incompatable sizes\n"; return false; } if ( !almost_equal( this->grid_min , rhs.grid_min ) ) { - if (dbg) cerr << "grid_min not equal\n"; + if (dbg) std::cerr << "grid_min not equal\n"; return false; } if ( !almost_equal(this->grid_max,rhs.grid_max ) ) { - if (dbg) cerr << "grid_max not equal\n"; + if (dbg) std::cerr << "grid_max not equal\n"; return false; } for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) @@ -451,8 +438,8 @@ public: { if (dbg) { - cerr << "Problem in the position : " << i << " of values_of_landscapes. \n"; - cerr << this->values_of_landscapes[i][aa] << " " << rhs.values_of_landscapes[i][aa] << endl; + std::cerr << "Problem in the position : " << i << " of values_of_landscapes. \n"; + std::cerr << this->values_of_landscapes[i][aa] << " " << rhs.values_of_landscapes[i][aa] << std::endl; } return false; } @@ -515,7 +502,7 @@ public: * This procedure returns x-range of a given level persistence landscape. If a default value is used, the x-range * of 0th level landscape is given (and this range contains the ranges of all other landscapes). **/ - std::pair< double , double > gimme_x_range( size_t level = 0 )const + std::pair< double , double > give_me_x_range( size_t level = 0 )const { return std::make_pair( this->grid_min , this->grid_max ); //std::pair< double , double > result; @@ -546,7 +533,7 @@ public: * This procedure returns y-range of a persistence landscape. If a default value is used, the y-range * of 0th level landscape is given (and this range contains the ranges of all other landscapes). **/ - std::pair< double , double > gimme_y_range( size_t level = 0 )const + std::pair< double , double > give_me_y_range( size_t level = 0 )const { return this->compute_minimum_maximum(); //std::pair< double , double > result; @@ -582,13 +569,13 @@ public: std::vector< std::pair< double , double > > p; Persistence_landscape_on_grid l(p,this->grid_min,this->grid_max,this->values_of_landscapes.size()-1); - if ( i != -1 ) + if ( i != std::numeric_limits::max() ) { - return compute_discance_of_landscapes_on_grid(*this,l,i); + return compute_distance_of_landscapes_on_grid(*this,l,i); } else { - return compute_max_norm_discance_of_landscapes(*this,l); + return compute_max_norm_distance_of_landscapes(*this,l); } } @@ -600,8 +587,8 @@ public: /** * Computations of L^{\infty} distance between two landscapes. **/ - friend double compute_max_norm_discance_of_landscapes( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second ); - //friend double compute_max_norm_discance_of_landscapes( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second , unsigned& nrOfLand , double&x , double& y1, double& y2 ); + friend double compute_max_norm_distance_of_landscapes( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second ); + //friend double compute_max_norm_distance_of_landscapes( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second , unsigned& nrOfLand , double&x , double& y1, double& y2 ); @@ -611,8 +598,7 @@ public: * them. In this case, a general PL-function with negative value can appear as a result. Then in order to compute distance, we need to take its absolute value. This is the purpose of this procedure. **/ void abs() - { - //Be careful here. We assume that the functions are either entirely positive or negative. They do not change signs. That is why I can implemnt abs in the way presented below: + { for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) { for ( size_t j = 0 ; j != this->values_of_landscapes[i].size() ; ++j ) @@ -748,15 +734,15 @@ public: /** * Computations of L^{p} distance between two landscapes on a grid. p is the parameter of the procedure. **/ - friend double compute_discance_of_landscapes_on_grid( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second , int p ) + friend double compute_distance_of_landscapes_on_grid( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second , double p ) { bool dbg = false; //This is what we want to compute: (\int_{- \infty}^{+\infty}| first-second |^p)^(1/p). We will do it one step at a time: if ( dbg ) { - cerr << "first : " << first << endl; - cerr << "second : " << second << endl; + std::cerr << "first : " << first << std::endl; + std::cerr << "second : " << second << std::endl; getchar(); } @@ -765,7 +751,7 @@ public: if ( dbg ) { - cerr << "Difference : " << lan << endl; + std::cerr << "Difference : " << lan << std::endl; } //| first-second |: @@ -773,30 +759,30 @@ public: if ( dbg ) { - cerr << "Abs : " << lan << endl; + std::cerr << "Abs : " << lan << std::endl; } - if ( p != -1 ) + if ( p != std::numeric_limits< double >::max() ) { //\int_{- \infty}^{+\infty}| first-second |^p double result; if ( p != 1 ) { - if (dbg){cerr << "p : " << p << endl; getchar();} + if (dbg){std::cerr << "p : " << p << std::endl; getchar();} result = lan.compute_integral_of_landscape( (double)p ); - if (dbg){cerr << "integral : " << result << endl;getchar();} + if (dbg){std::cerr << "integral : " << result << std::endl;getchar();} } else { result = lan.compute_integral_of_landscape(); - if (dbg){cerr << "integral, wihtout power : " << result << endl;getchar();} + if (dbg){std::cerr << "integral, wihtout power : " << result << std::endl;getchar();} } //(\int_{- \infty}^{+\infty}| first-second |^p)^(1/p) return pow( result , 1/(double)p ); } else { - //p == -1 + //p == infty return lan.compute_maximum(); } } @@ -898,44 +884,44 @@ public: //now we need to check if the grids in all objects of to_average are the same: for ( size_t i = 0 ; i != to_average.size() ; ++i ) { - if ( !check_if_defined_on_the_same_domain(*((Persistence_landscape_on_grid*)(to_average[0])),*((Persistence_landscape_on_grid*)(to_average[i]))) )throw "Two grids are not compatible"; + if ( !check_if_defined_on_the_same_domain(*(to_average[0]),*(to_average[i])) )throw "Two grids are not compatible"; } - this->values_of_landscapes = std::vector< std::vector >( ((Persistence_landscape_on_grid*)(to_average[0]))->values_of_landscapes.size() ); - this->grid_min = ((Persistence_landscape_on_grid*)(to_average[0]))->grid_min; - this->grid_max = ((Persistence_landscape_on_grid*)(to_average[0]))->grid_max; + this->values_of_landscapes = std::vector< std::vector >( (to_average[0])->values_of_landscapes.size() ); + this->grid_min = (to_average[0])->grid_min; + this->grid_max = (to_average[0])->grid_max; if ( dbg ) { - cerr << "Computations of average. The data from the current landscape have been cleared. We are ready to do the computations. \n"; + std::cerr << "Computations of average. The data from the current landscape have been cleared. We are ready to do the computations. \n"; } //for every point in the grid: - for ( size_t grid_point = 0 ; grid_point != ((Persistence_landscape_on_grid*)(to_average[0]))->values_of_landscapes.size() ; ++grid_point ) + for ( size_t grid_point = 0 ; grid_point != (to_average[0])->values_of_landscapes.size() ; ++grid_point ) { //set up a vector of the correct size: size_t maximal_size_of_vector = 0; for ( size_t land_no = 0 ; land_no != to_average.size() ; ++land_no ) { - if ( ((Persistence_landscape_on_grid*)(to_average[land_no]))->values_of_landscapes[grid_point].size() > maximal_size_of_vector ) - maximal_size_of_vector = ((Persistence_landscape_on_grid*)(to_average[land_no]))->values_of_landscapes[grid_point].size(); + if ( (to_average[land_no])->values_of_landscapes[grid_point].size() > maximal_size_of_vector ) + maximal_size_of_vector = (to_average[land_no])->values_of_landscapes[grid_point].size(); } this->values_of_landscapes[grid_point] = std::vector( maximal_size_of_vector ); if ( dbg ) { - cerr << "We are considering the point : " << grid_point << " of the grid. In this point, there are at most : " << maximal_size_of_vector << " nonzero landscape functions \n"; + std::cerr << "We are considering the point : " << grid_point << " of the grid. In this point, there are at most : " << maximal_size_of_vector << " nonzero landscape functions \n"; } //and compute an arythmetic average: for ( size_t land_no = 0 ; land_no != to_average.size() ; ++land_no ) { //summing: - for ( size_t i = 0 ; i != ((Persistence_landscape_on_grid*)(to_average[land_no]))->values_of_landscapes[grid_point].size() ; ++i ) + for ( size_t i = 0 ; i != (to_average[land_no])->values_of_landscapes[grid_point].size() ; ++i ) { //compute the average in a smarter way. - this->values_of_landscapes[grid_point][i] += ((Persistence_landscape_on_grid*)(to_average[land_no]))->values_of_landscapes[grid_point][i]; + this->values_of_landscapes[grid_point][i] += (to_average[land_no])->values_of_landscapes[grid_point][i]; } } //normalizing: @@ -951,16 +937,17 @@ public: * A function to compute distance between persistence landscape on a grid. * The parameter of this functionis a Persistence_landscape_on_grid. * This function is required in Topological_data_with_distances concept. + * For max norm distance, set power to std::numeric_limits::max() **/ double distance( const Persistence_landscape_on_grid& second , double power = 1 )const { - if ( power != -1 ) + if ( power != std::numeric_limits::max() ) { - return compute_discance_of_landscapes_on_grid( *this , second , power ); + return compute_distance_of_landscapes_on_grid( *this , second , power ); } else { - return compute_max_norm_discance_of_landscapes( *this , second ); + return compute_max_norm_distance_of_landscapes( *this , second ); } } @@ -1008,7 +995,7 @@ public: **/ void plot( const char* filename , size_t from_ , size_t to_ )const { - this->plot( filename , from_ , to_ ); + this->plot( filename , -1 , -1 , -1 , -1 , from_ , to_ ); } /** @@ -1042,12 +1029,12 @@ void Persistence_landscape_on_grid::set_up_values_of_landscapes( const std::vect bool dbg = false; if ( dbg ) { - std::cerr << "Here is the procedure : set_up_values_of_landscapes. The parameters are : grid_min_ : " << grid_min_ << ", grid_max_ : " << grid_max_ << ", number_of_points_ : " << number_of_points_ << endl; + std::cerr << "Here is the procedure : set_up_values_of_landscapes. The parameters are : grid_min_ : " << grid_min_ << ", grid_max_ : " << grid_max_ << ", number_of_points_ : " << number_of_points_ << std::endl; //getchar(); std::cerr << "Here are the intervals at our disposal : \n"; for ( size_t i = 0 ; i != p.size() ; ++i ) { - std::cerr << p[i].first << " , " << p[i].second << endl; + std::cerr << p[i].first << " , " << p[i].second << std::endl; } } @@ -1075,7 +1062,7 @@ void Persistence_landscape_on_grid::set_up_values_of_landscapes( const std::vect if ( dbg ) { - cerr << "Considering an interval : " << p[int_no].first << "," << p[int_no].second << endl; + std::cerr << "Considering an interval : " << p[int_no].first << "," << p[int_no].second << std::endl; std::cerr << "grid_interval_begin : " << grid_interval_begin << std::endl; std::cerr << "grid_interval_end : " << grid_interval_end << std::endl; @@ -1118,20 +1105,6 @@ Persistence_landscape_on_grid::Persistence_landscape_on_grid( const std::vector< this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ ); }//Persistence_landscape_on_grid -Persistence_landscape_on_grid& Persistence_landscape_on_grid::operator=( const Persistence_landscape_on_grid& org ) -{ - this->grid_min = org.grid_min; - this->grid_max = org.grid_max; - this->values_of_landscapes = org.values_of_landscapes; - return (*this); -}//operator= - -Persistence_landscape_on_grid::Persistence_landscape_on_grid(const Persistence_landscape_on_grid& org) -{ - this->grid_min = org.grid_min; - this->grid_max = org.grid_max; - this->values_of_landscapes = org.values_of_landscapes; -}//copy constructor Persistence_landscape_on_grid::Persistence_landscape_on_grid(const char* filename , double grid_min_, double grid_max_ , size_t number_of_points_ , size_t dimension ) { @@ -1165,7 +1138,7 @@ void Persistence_landscape_on_grid::load_landscape_from_file( const char* filena //check if the file exist. if ( !( access( filename, F_OK ) != -1 ) ) { - cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; } std::ifstream in; @@ -1183,7 +1156,7 @@ void Persistence_landscape_on_grid::load_landscape_from_file( const char* filena //read a line of a file and convert it to a vector. std::vector< double > vv; std::getline(in, line); - //cerr << "Reading line : " << line << endl;getchar(); + //std::cerr << "Reading line : " << line << std::endl;getchar(); std::istringstream stream(line); while (stream >> number) { @@ -1219,7 +1192,7 @@ void Persistence_landscape_on_grid::print_to_file( const char* filename )const void Persistence_landscape_on_grid::plot( const char* filename, double min_x , double max_x , double min_y , double max_y, size_t from_ , size_t to_ )const { //this program create a gnuplot script file that allows to plot persistence diagram. - ofstream out; + std::ofstream out; std::ostringstream nameSS; nameSS << filename << "_GnuplotScript"; @@ -1229,13 +1202,13 @@ void Persistence_landscape_on_grid::plot( const char* filename, double min_x , d if ( min_x == max_x ) { std::pair min_max = compute_minimum_maximum(); - out << "set xrange [" << this->grid_min << " : " << this->grid_max << "]" << endl; - out << "set yrange [" << min_max.first << " : " << min_max.second << "]" << endl; + out << "set xrange [" << this->grid_min << " : " << this->grid_max << "]" << std::endl; + out << "set yrange [" << min_max.first << " : " << min_max.second << "]" << std::endl; } else { - out << "set xrange [" << min_x << " : " << max_x << "]" << endl; - out << "set yrange [" << min_y << " : " << max_y << "]" << endl; + out << "set xrange [" << min_x << " : " << max_x << "]" << std::endl; + out << "set yrange [" << min_y << " : " << max_y << "]" << std::endl; } size_t number_of_nonzero_levels = this->number_of_nonzero_levels(); @@ -1273,7 +1246,7 @@ void Persistence_landscape_on_grid::plot( const char* filename, double min_x , d { out << ", \\"; } - out << endl; + out << std::endl; } for ( size_t lambda = from ; lambda != to ; ++lambda ) @@ -1286,12 +1259,12 @@ void Persistence_landscape_on_grid::plot( const char* filename, double min_x , d { value = this->values_of_landscapes[i][lambda]; } - out << point << " " << value << endl; + out << point << " " << value << std::endl; point += dx; } - out << "EOF" << endl; + out << "EOF" << std::endl; } - cout << "Gnuplot script to visualize persistence diagram written to the file: " << nameStr << ". Type load '" << nameStr << "' in gnuplot to visualize." << endl; + std::cout << "Gnuplot script to visualize persistence diagram written to the file: " << nameStr << ". Type load '" << nameStr << "' in gnuplot to visualize." << std::endl; } template < typename T > @@ -1342,7 +1315,7 @@ Persistence_landscape_on_grid Persistence_landscape_on_grid::multiply_lanscape_b return result; } -double compute_max_norm_discance_of_landscapes( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second ) +double compute_max_norm_distance_of_landscapes( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second ) { double result = 0; diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h index 11e4b163..dc1df0c6 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h @@ -31,10 +31,9 @@ #include //gudhi include -#include +#include #include -using namespace std; namespace Gudhi { @@ -104,22 +103,12 @@ public: **/ Vector_distances_in_diagram( const char* filename , size_t where_to_cut ); - /** - * Assignement operator. - **/ - Vector_distances_in_diagram& operator =( const Vector_distances_in_diagram& org ); - - - /** - * Copy constructor. - **/ - Vector_distances_in_diagram( const Vector_distances_in_diagram& org ); /** * Writing to a stream. **/ template - friend ostream& operator << ( ostream& out , const Vector_distances_in_diagram& d ) + friend std::ostream& operator << ( std::ostream& out , const Vector_distances_in_diagram& d ) { for ( size_t i = 0 ; i != std::min( d.sorted_vector_of_distances.size() , d.where_to_cut) ; ++i ) { @@ -213,6 +202,7 @@ public: /** * Compute a distance of two persistent vectors. This function is required in Topological_data_with_distances concept. + * For max norm distance, set power to std::numeric_limits::max() **/ double distance( const Vector_distances_in_diagram& second , double power = 1)const; @@ -255,7 +245,7 @@ public: { std::stringstream gnuplot_script; gnuplot_script << filename << "_GnuplotScript"; - ofstream out; + std::ofstream out; out.open( gnuplot_script.str().c_str() ); out << "set style data histogram" << std::endl; out << "set style histogram cluster gap 1" << std::endl; @@ -265,7 +255,7 @@ public: { out << this->sorted_vector_of_distances[i] << std::endl; } - out << endl; + out < gimme_x_range()const + std::pair< double , double > give_me_x_range()const { return std::make_pair( 0 , this->sorted_vector_of_distances.size() ); } @@ -281,7 +271,7 @@ public: /** * The y-range of the persistence vector. **/ - std::pair< double , double > gimme_y_range()const + std::pair< double , double > give_me_y_range()const { if ( this->sorted_vector_of_distances.size() == 0 )return std::make_pair(0,0); return std::make_pair( this->sorted_vector_of_distances[0] , 0); @@ -440,28 +430,6 @@ Vector_distances_in_diagram::Vector_distances_in_diagram( const std::vector< this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); } -template -Vector_distances_in_diagram::Vector_distances_in_diagram( const Vector_distances_in_diagram& org ) -{ - std::vector< std::pair< double,double > > inter( org.intervals ); - this->intervals = inter; - std::vector< double > sorted_vector_of_distances( org.sorted_vector_of_distances ); - this->sorted_vector_of_distances = sorted_vector_of_distances; - set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); -} - - -template -Vector_distances_in_diagram& Vector_distances_in_diagram::operator =( const Vector_distances_in_diagram& org ) -{ - std::vector< std::pair< double , double > > inter( org.intervals ); - this->intervals = inter; - std::vector< double > sorted_vector_of_distances( org.sorted_vector_of_distances ); - this->sorted_vector_of_distances = sorted_vector_of_distances; - return *this; -} - - template Vector_distances_in_diagram::Vector_distances_in_diagram( const char* filename , size_t where_to_cut ):where_to_cut(where_to_cut) { @@ -483,10 +451,10 @@ void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_heap bool dbg = false; if ( dbg ) { - cerr << "Here are the intervals : \n"; + std::cerr << "Here are the intervals : \n"; for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) { - cerr << this->intervals[i].first << " , " << this->intervals[i].second << endl; + std::cerr << this->intervals[i].first << " , " << this->intervals[i].second <intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size())); @@ -510,14 +478,14 @@ void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_heap if ( dbg ) { - cerr << "Value : " << value << endl; - cerr << "heap.front() : " << heap.front() << endl; + std::cerr << "Value : " << value <::compute_sorted_vector_of_distances_via_heap double value = f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ); if ( -value < heap.front() ) { - //cerr << "Replacing : " << heap.front() << " with : " << -value << endl;getchar(); + //std::cerr << "Replacing : " << heap.front() << " with : " << -value <::compute_sorted_vector_of_distances_via_heap { std::cout << heap[i] << " "; } - std::cout << endl; + std::cout <sorted_vector_of_distances = heap; @@ -681,16 +649,24 @@ double Vector_distances_in_diagram::distance( const Vector_distances_in_diagr { if ( dbg ) { - cerr << "|" << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " | : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) << endl; + std::cerr << "|" << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " | : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) <sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ); } else { - result += std::pow( fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) , power ); + if ( power != std::numeric_limits::max() ) + { + result += std::pow( fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) , power ); + } + else + { + //nax morm + if ( result < fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) )result = fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ); + } if ( dbg ) { - cerr << "| " << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) << endl; + std::cerr << "| " << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) <::load_from_file( const char* filename ) //check if the file exist. if ( !( access( filename, F_OK ) != -1 ) ) { - cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; } std::ifstream in; diff --git a/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h b/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h deleted file mode 100644 index e16c1f20..00000000 --- a/src/Gudhi_stat/include/gudhi/concretizations/read_persitence_from_file.h +++ /dev/null @@ -1,300 +0,0 @@ -/* 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 . - */ - - -#ifndef Read_Persitence_From_File_H -#define Read_Persitence_From_File_H - -#include -#include -#include -#include -#include -#include - - -namespace Gudhi -{ -namespace Gudhi_stat -{ - - -/** - * This procedure reads birth-death dagta from a file. We assume that in the file, there may be one type of string 'inf' or 'Inf'. If the second parameter of the program is set to -1, - * then those vales are ignored. If the second parameter of this program is set to a positive value, then the infinite intervals will be substituted by that number. -**/ -std::vector< std::pair< double,double > > read_file_names_that_may_contain_inf_string( char* filename , double what_to_substitute_for_infinite_bar = -1 ) -{ - - bool dbg = true; - - if ( !( access( filename, F_OK ) != -1 ) ) - { - std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; - throw "The file from which you are trying to read do not exist. The program will now terminate \n"; - } - - std::string line; - std::vector< std::pair > barcode; - - std::ifstream in; - in.open( filename ); - while (!in.eof()) - { - getline(in,line); - if ( !(line.length() == 0 || line[0] == '#') ) - { - std::stringstream lineSS; - lineSS << line; - double beginn, endd; - if ( (line.find("inf") != std::string::npos) || (line.find("Inf") != std::string::npos) ) - { - if ( dbg ) - { - std::cerr << "This line: " << line << " contains infinite interval. We will skip it. \n"; - } - if ( what_to_substitute_for_infinite_bar != -1 ) - { - lineSS >> beginn; - endd = what_to_substitute_for_infinite_bar; - } - else - { - continue; - } - } - else - { - lineSS >> beginn; - lineSS >> endd; - } - if ( beginn > endd ) - { - double b = beginn; - beginn = endd; - endd = b; - } - if ( dbg ) - { - std::cerr << "Getting an interval : " << beginn << "," << endd << std::endl; - } - barcode.push_back( std::make_pair( beginn , endd ) ); - } - } - return barcode; -}//readFileNames - - -/** - * This procedure reads names of files which are stored in a file. -**/ -std::vector< std::string > readFileNames( const char* filenameWithFilenames ) -{ - bool dbg = false; - - if ( !( access( filenameWithFilenames, F_OK ) != -1 ) ) - { - std::cerr << "The file : " << filenameWithFilenames << " do not exist. The program will now terminate \n"; - throw "The file from which you are trying to read do not exist. The program will now terminate \n"; - } - - std::vector< std::string > result; - std::ifstream in; - in.open( filenameWithFilenames ); - std::string line; - while (!in.eof()) - { - getline(in,line); - line.erase( std::remove_if( line.begin(), line.end(), ::isspace) , line.end() ); - - if (dbg){std::cerr << "line : " << line << std::endl;} - - if ( (line.length() == 0) || (line[0] == '#') ) - { - //in this case we have a file name. First we should remove all the white spaces. - if ( dbg ){std::cerr << "This is a line with comment, it will be ignored n";} - } - else - { - result.push_back( line.c_str() ); - if (dbg){std::cerr << "Line after removing white spaces : " << line << std::endl;} - } - } - in.close(); - - return result; -}//readFileNames - - -/** - * This method reads persistence from standalone file. The format of the file is as follows: - * In every line there are two numbers which denotes birth and death of a persistence interval. The file is not supposed to contains any nonwhite characters excet from digits. In particular symbols - * like 'inf' are not allowed. - * If begin of the interval is greater than the end of the interval, those two numbers are swapped. -**/ -std::vector< std::pair< double , double > > read_standard_file( const char* filename ) -{ - bool dbg = false; - - std::ifstream in; - in.open( filename ); - if ( !( access( filename, F_OK ) != -1 ) ) - { - std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; - throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; - } - - std::string line; - std::vector< std::pair > barcode; - - while (!in.eof()) - { - getline(in,line); - if ( !(line.length() == 0 || line[0] == '#') ) - { - std::stringstream lineSS; - lineSS << line; - double beginn, endd; - lineSS >> beginn; - lineSS >> endd; - if ( beginn == endd )continue; - if ( beginn > endd ) - { - double b = beginn; - beginn = endd; - endd = b; - } - barcode.push_back( std::make_pair( beginn , endd ) ); - if (dbg) - { - std::cerr << beginn << " , " << endd << std::endl; - } - } - } - in.close(); - return barcode; -}//read_standard_file - - - -/** - * This procedure reads Gudhi style file. The format of a Gudhi style file is as follows: - * Each line consist of the following information: - * A prime number p indicating that the class is nontrivial over Z_p field. - * A positive numebr, being a dimension of a persistence class - * A birth and a death time of a class. - * Death time may be infitnity, in which case a string 'inf' is used. - * If begin of the interval is greater than the end of the interval, those two numbers are swapped. -**/ -std::vector< std::pair< double , double > > read_gudhi_file( const char* filename , size_t dimension = 0 ) -{ - bool dbg = false; - std::ifstream in; - in.open( filename ); - - std::string line; - std::vector< std::pair > barcode; - - while (!in.eof()) - { - getline(in,line); - if ( !(line.length() == 0 || line[0] == '#') ) - { - if ( line.find("inf") != std::string::npos ) - { - if ( dbg ) - { - std::cerr << "This line: " << line << " contains infinite interval. We will skip it. \n"; - } - continue; - } - std::stringstream lineSS; - lineSS << line; - double beginn, endd, field, dim; - lineSS >> field; - lineSS >> dim; - lineSS >> beginn; - lineSS >> endd; - if ( beginn > endd ) - { - double b = beginn; - beginn = endd; - endd = b; - } - if ( dim == dimension ) - { - barcode.push_back( std::make_pair( beginn , endd ) ); - if (dbg) - { - std::cerr << beginn << " , " << endd << std::endl; - } - } - } - } - in.close(); - return barcode; -}//read_gudhi_file - - -std::vector< std::vector< double > > read_numbers_from_file_line_by_line( const char* filename ) -{ - bool dbg = false; - if ( !( access( filename, F_OK ) != -1 ) ) - { - std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; - throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; - } - - std::vector< std::vector< double > > result; - double number; - - std::ifstream in(filename); - std::string line; - while ( in.good() ) - { - std::getline(in,line); - std::stringstream ss; - ss << line; - - if ( dbg )std::cerr << "\n Reading line : " << line << std::endl; - - std::vector< double > this_line; - while ( ss.good() ) - { - ss >> number; - this_line.push_back( number ); - if ( dbg )std::cerr << number << " "; - } - if ( this_line.size() && in.good() ) result.push_back( this_line ); - } - in.close(); - - return result; -}//read_numbers_from_file_line_by_line - -}//namespace Gudhi_stat -}//namespace Gudhi - - - - -#endif diff --git a/src/Gudhi_stat/include/gudhi/fill_in_missing_data.h b/src/Gudhi_stat/include/gudhi/fill_in_missing_data.h index eb948438..d6ae6fe1 100644 --- a/src/Gudhi_stat/include/gudhi/fill_in_missing_data.h +++ b/src/Gudhi_stat/include/gudhi/fill_in_missing_data.h @@ -23,6 +23,11 @@ #ifndef FILL_IN_MISSING_DATA_H #define FILL_IN_MISSING_DATA_H +namespace Gudhi +{ +namespace Gudhi_stat +{ + /** * Quite often in biological sciences we are facing a problem of missing data. We may have for instance a number of sequences of observations made in between times A and B in a discrete * collection of times A = t1, t2,...,tn = B. But quite typically some of the observations may be missing. Then quite often it is hard to estimate the values in the missing times. @@ -133,4 +138,7 @@ void fill_in_missing_data( std::vector< Representation_of_topology* >& data , st } }//fill_in_missing_data +}//namespace Gudhi_stat +}//namespace Gudhi + #endif diff --git a/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h b/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h index daac8f2a..627923fe 100644 --- a/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h +++ b/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h @@ -39,6 +39,11 @@ #include #include +namespace Gudhi +{ +namespace Gudhi_stat +{ + template < typename TopologicalObject > class difference_of_objects { @@ -138,6 +143,9 @@ double multiplicative_bootstrap( const std::vector< TopologicalObject* >& topolo return result; -}//bootstrap +}//multiplicative_bootstrap + +}//namespace Gudhi_stat +}//namespace Gudhi #endif diff --git a/src/Gudhi_stat/include/gudhi/permutation_test.h b/src/Gudhi_stat/include/gudhi/permutation_test.h index 7f8f7552..fa31c3c0 100644 --- a/src/Gudhi_stat/include/gudhi/permutation_test.h +++ b/src/Gudhi_stat/include/gudhi/permutation_test.h @@ -29,7 +29,7 @@ #include #include #include -#include +#include using namespace std; diff --git a/src/Gudhi_stat/include/gudhi/read_persitence_from_file.h b/src/Gudhi_stat/include/gudhi/read_persitence_from_file.h new file mode 100644 index 00000000..e16c1f20 --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/read_persitence_from_file.h @@ -0,0 +1,300 @@ +/* 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 . + */ + + +#ifndef Read_Persitence_From_File_H +#define Read_Persitence_From_File_H + +#include +#include +#include +#include +#include +#include + + +namespace Gudhi +{ +namespace Gudhi_stat +{ + + +/** + * This procedure reads birth-death dagta from a file. We assume that in the file, there may be one type of string 'inf' or 'Inf'. If the second parameter of the program is set to -1, + * then those vales are ignored. If the second parameter of this program is set to a positive value, then the infinite intervals will be substituted by that number. +**/ +std::vector< std::pair< double,double > > read_file_names_that_may_contain_inf_string( char* filename , double what_to_substitute_for_infinite_bar = -1 ) +{ + + bool dbg = true; + + if ( !( access( filename, F_OK ) != -1 ) ) + { + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + throw "The file from which you are trying to read do not exist. The program will now terminate \n"; + } + + std::string line; + std::vector< std::pair > barcode; + + std::ifstream in; + in.open( filename ); + while (!in.eof()) + { + getline(in,line); + if ( !(line.length() == 0 || line[0] == '#') ) + { + std::stringstream lineSS; + lineSS << line; + double beginn, endd; + if ( (line.find("inf") != std::string::npos) || (line.find("Inf") != std::string::npos) ) + { + if ( dbg ) + { + std::cerr << "This line: " << line << " contains infinite interval. We will skip it. \n"; + } + if ( what_to_substitute_for_infinite_bar != -1 ) + { + lineSS >> beginn; + endd = what_to_substitute_for_infinite_bar; + } + else + { + continue; + } + } + else + { + lineSS >> beginn; + lineSS >> endd; + } + if ( beginn > endd ) + { + double b = beginn; + beginn = endd; + endd = b; + } + if ( dbg ) + { + std::cerr << "Getting an interval : " << beginn << "," << endd << std::endl; + } + barcode.push_back( std::make_pair( beginn , endd ) ); + } + } + return barcode; +}//readFileNames + + +/** + * This procedure reads names of files which are stored in a file. +**/ +std::vector< std::string > readFileNames( const char* filenameWithFilenames ) +{ + bool dbg = false; + + if ( !( access( filenameWithFilenames, F_OK ) != -1 ) ) + { + std::cerr << "The file : " << filenameWithFilenames << " do not exist. The program will now terminate \n"; + throw "The file from which you are trying to read do not exist. The program will now terminate \n"; + } + + std::vector< std::string > result; + std::ifstream in; + in.open( filenameWithFilenames ); + std::string line; + while (!in.eof()) + { + getline(in,line); + line.erase( std::remove_if( line.begin(), line.end(), ::isspace) , line.end() ); + + if (dbg){std::cerr << "line : " << line << std::endl;} + + if ( (line.length() == 0) || (line[0] == '#') ) + { + //in this case we have a file name. First we should remove all the white spaces. + if ( dbg ){std::cerr << "This is a line with comment, it will be ignored n";} + } + else + { + result.push_back( line.c_str() ); + if (dbg){std::cerr << "Line after removing white spaces : " << line << std::endl;} + } + } + in.close(); + + return result; +}//readFileNames + + +/** + * This method reads persistence from standalone file. The format of the file is as follows: + * In every line there are two numbers which denotes birth and death of a persistence interval. The file is not supposed to contains any nonwhite characters excet from digits. In particular symbols + * like 'inf' are not allowed. + * If begin of the interval is greater than the end of the interval, those two numbers are swapped. +**/ +std::vector< std::pair< double , double > > read_standard_file( const char* filename ) +{ + bool dbg = false; + + std::ifstream in; + in.open( filename ); + if ( !( access( filename, F_OK ) != -1 ) ) + { + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; + } + + std::string line; + std::vector< std::pair > barcode; + + while (!in.eof()) + { + getline(in,line); + if ( !(line.length() == 0 || line[0] == '#') ) + { + std::stringstream lineSS; + lineSS << line; + double beginn, endd; + lineSS >> beginn; + lineSS >> endd; + if ( beginn == endd )continue; + if ( beginn > endd ) + { + double b = beginn; + beginn = endd; + endd = b; + } + barcode.push_back( std::make_pair( beginn , endd ) ); + if (dbg) + { + std::cerr << beginn << " , " << endd << std::endl; + } + } + } + in.close(); + return barcode; +}//read_standard_file + + + +/** + * This procedure reads Gudhi style file. The format of a Gudhi style file is as follows: + * Each line consist of the following information: + * A prime number p indicating that the class is nontrivial over Z_p field. + * A positive numebr, being a dimension of a persistence class + * A birth and a death time of a class. + * Death time may be infitnity, in which case a string 'inf' is used. + * If begin of the interval is greater than the end of the interval, those two numbers are swapped. +**/ +std::vector< std::pair< double , double > > read_gudhi_file( const char* filename , size_t dimension = 0 ) +{ + bool dbg = false; + std::ifstream in; + in.open( filename ); + + std::string line; + std::vector< std::pair > barcode; + + while (!in.eof()) + { + getline(in,line); + if ( !(line.length() == 0 || line[0] == '#') ) + { + if ( line.find("inf") != std::string::npos ) + { + if ( dbg ) + { + std::cerr << "This line: " << line << " contains infinite interval. We will skip it. \n"; + } + continue; + } + std::stringstream lineSS; + lineSS << line; + double beginn, endd, field, dim; + lineSS >> field; + lineSS >> dim; + lineSS >> beginn; + lineSS >> endd; + if ( beginn > endd ) + { + double b = beginn; + beginn = endd; + endd = b; + } + if ( dim == dimension ) + { + barcode.push_back( std::make_pair( beginn , endd ) ); + if (dbg) + { + std::cerr << beginn << " , " << endd << std::endl; + } + } + } + } + in.close(); + return barcode; +}//read_gudhi_file + + +std::vector< std::vector< double > > read_numbers_from_file_line_by_line( const char* filename ) +{ + bool dbg = false; + if ( !( access( filename, F_OK ) != -1 ) ) + { + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; + } + + std::vector< std::vector< double > > result; + double number; + + std::ifstream in(filename); + std::string line; + while ( in.good() ) + { + std::getline(in,line); + std::stringstream ss; + ss << line; + + if ( dbg )std::cerr << "\n Reading line : " << line << std::endl; + + std::vector< double > this_line; + while ( ss.good() ) + { + ss >> number; + this_line.push_back( number ); + if ( dbg )std::cerr << number << " "; + } + if ( this_line.size() && in.good() ) result.push_back( this_line ); + } + in.close(); + + return result; +}//read_numbers_from_file_line_by_line + +}//namespace Gudhi_stat +}//namespace Gudhi + + + + +#endif diff --git a/src/Gudhi_stat/include/gudhi/topological_process.h b/src/Gudhi_stat/include/gudhi/topological_process.h index e7bd46de..0cd8670a 100644 --- a/src/Gudhi_stat/include/gudhi/topological_process.h +++ b/src/Gudhi_stat/include/gudhi/topological_process.h @@ -218,22 +218,6 @@ public: delete this->data[i]; } } - Topological_process( const Topological_process& org ) - { - this->data = std::vector< Representation* >( org.data.size() ); - for ( size_t i = 0 ; i != org.data.size() ; ++i ) - { - this->data[i] = new Representation( *org.data[i] ); - } - } - Topological_process& operator = ( const Topological_process& rhs ) - { - for ( size_t i = 0 ; i != rhs.data.size() ; ++i ) - { - this->data[i] = new Representation( *rhs.data[i] ); - } - return *this; - } Topological_process( const std::vector< Representation* >& data_ ):data(data_){} double distance( const Topological_process& second , double exponent = 1 ) @@ -281,26 +265,26 @@ public: } } - std::pair< double , double > gimme_x_range()const + std::pair< double , double > give_me_x_range()const { double min_x = std::numeric_limits< double >::max(); double max_x = -std::numeric_limits< double >::max(); for ( size_t i = 0 ; i != this->data.size() ; ++i ) { - std::pair< double , double > xrange = this->data[i]->gimme_x_range(); + std::pair< double , double > xrange = this->data[i]->give_me_x_range(); if ( min_x > xrange.first )min_x = xrange.first; if ( max_x < xrange.second )max_x = xrange.second; } return std::make_pair( min_x , max_x ); } - std::pair< double , double > gimme_y_range()const + std::pair< double , double > give_me_y_range()const { double min_y = std::numeric_limits< double >::max(); double max_y = -std::numeric_limits< double >::max(); for ( size_t i = 0 ; i != this->data.size() ; ++i ) { - std::pair< double , double > yrange = this->data[i]->gimme_y_range(); + std::pair< double , double > yrange = this->data[i]->give_me_y_range(); if ( min_y > yrange.first )min_y = yrange.first; if ( max_y < yrange.second )max_y = yrange.second; } @@ -313,11 +297,11 @@ public: bool are_the_data_aligned()const { if ( this->data.size() == 0 )return true;//empty collection is aligned - std::pair< double , double > x_range = this->data[0]->gimme_x_range(); - std::pair< double , double > y_range = this->data[0]->gimme_y_range(); + std::pair< double , double > x_range = this->data[0]->give_me_x_range(); + std::pair< double , double > y_range = this->data[0]->give_me_y_range(); for ( size_t i = 1 ; i != this->data.size() ; ++i ) { - if ( (x_range != this->data[i]->gimme_x_range()) || (y_range != this->data[i]->gimme_y_range()) ) + if ( (x_range != this->data[i]->give_me_x_range()) || (y_range != this->data[i]->give_me_y_range()) ) { return false; } @@ -358,7 +342,7 @@ public: std::stringstream gif_gnuplot_script_file_name; gif_gnuplot_script_file_name << filename << "_gif_gnuplot_script"; - ofstream out; + std::ofstream out; out.open( gif_gnuplot_script_file_name.str().c_str() ); out << "set terminal gif animate delay " << delay << std::endl; out << "set output '" << gif_file_name.str() << "'" << std::endl; @@ -378,7 +362,7 @@ public: }//plot - std::vector< Representation* > gimme_data(){return this->data;} + std::vector< Representation* > give_me_data(){return this->data;} private: std::vector< Representation* > data; }; diff --git a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp index d1f4da76..ccfc208b 100644 --- a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp +++ b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp @@ -59,13 +59,9 @@ BOOST_AUTO_TEST_CASE(check_averages_of_heat_maps) 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 ); - - std::vector< Persistence_heat_maps* > to_average; - to_average.push_back( &p ); - to_average.push_back( &q ); - to_average.push_back( &r ); + Persistence_heat_maps av; - av.compute_average( to_average ); + av.compute_average( {&p,&q,&r} ); Persistence_heat_maps template_average; template_average.load_from_file( "data/template_average_of_heat_maps" ); diff --git a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp index 87ed0241..2e24f932 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp @@ -198,17 +198,17 @@ BOOST_AUTO_TEST_CASE(check_computations_of_maxima_and_norms) //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_discance_of_landscapes_on_grid(p,sum,1) << endl; - //cerr << compute_discance_of_landscapes_on_grid(p,sum,2) << endl; - //cerr << compute_discance_of_landscapes_on_grid(p,sum,-1) << 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_discance_of_landscapes_on_grid(p,sum,1) - 16.8519 ) <= 0.00005 ); - BOOST_CHECK( fabs( compute_discance_of_landscapes_on_grid(p,sum,2) - 1.44542 ) <= 0.00001 ); - BOOST_CHECK( fabs(compute_discance_of_landscapes_on_grid(p,sum,-1) - 0.45 ) <= 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 ); } @@ -217,12 +217,9 @@ BOOST_AUTO_TEST_CASE(check_computations_of_maxima_and_norms) 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 ); - std::vector< Persistence_landscape_on_grid* > to_average; - to_average.push_back( &p ); - to_average.push_back( &q ); + Persistence_landscape_on_grid q( "data/file_with_diagram_1", 0,1,100 ); Persistence_landscape_on_grid av; - av.compute_average( to_average ); + av.compute_average( {&p,&q} ); Persistence_landscape_on_grid template_average; template_average.load_landscape_from_file( "data/average_on_a_grid" ); @@ -238,7 +235,7 @@ BOOST_AUTO_TEST_CASE(check_computations_of_distances) 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 , -1 )-0.359 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.distance( q , std::numeric_limits::max() )-0.359 ) <= 0.00001 ); } diff --git a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp index eb00a718..d0a29588 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp @@ -181,20 +181,17 @@ BOOST_AUTO_TEST_CASE(check_computations_of_maxima_and_norms) 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_discance_of_landscapes(p,sum,1) - 27.9323 ) <= 0.00005 ); - BOOST_CHECK( fabs( compute_discance_of_landscapes(p,sum,2) - 2.35199 ) <= 0.00001 ); - BOOST_CHECK( fabs(compute_discance_of_landscapes(p,sum,-1) - 0.464478 ) <= 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_computations_of_averages) { Persistence_landscape p( "data/file_with_diagram" ); Persistence_landscape q( "data/file_with_diagram_1" ); - std::vector< Persistence_landscape* > to_average; - to_average.push_back( &p ); - to_average.push_back( &q ); Persistence_landscape av; - av.compute_average( to_average ); + av.compute_average( {&p,&q} ); Persistence_landscape template_average; template_average.load_landscape_from_file( "data/average" ); @@ -210,7 +207,7 @@ BOOST_AUTO_TEST_CASE(check_computations_of_distances) Persistence_landscape q( "data/file_with_diagram_1" ); 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 , -1 )-0.359068 ) <= 0.00001 ); + BOOST_CHECK( fabs( p.distance( q , std::numeric_limits::max() )-0.359068 ) <= 0.00001 ); } diff --git a/src/Gudhi_stat/test/vector_representation_test.cpp b/src/Gudhi_stat/test/vector_representation_test.cpp index 40409205..b38c5147 100644 --- a/src/Gudhi_stat/test/vector_representation_test.cpp +++ b/src/Gudhi_stat/test/vector_representation_test.cpp @@ -336,13 +336,9 @@ BOOST_AUTO_TEST_CASE(check_compute_average) Vector_distances_in_diagram< Euclidean_distance > A( i1 , -1 ); Vector_distances_in_diagram< Euclidean_distance > B( i1 , -1 ); - - std::vector< Vector_distances_in_diagram< Euclidean_distance >* > to_average; - to_average.push_back( &A ); - to_average.push_back( &B ); - + Vector_distances_in_diagram< Euclidean_distance > average; - average.compute_average( to_average ); + average.compute_average( {&A,&B} ); Vector_distances_in_diagram< Euclidean_distance > template_average; template_average.load_from_file( "data/average_of_persistence_vectors" ); @@ -354,8 +350,7 @@ BOOST_AUTO_TEST_CASE(check_compute_average) BOOST_AUTO_TEST_CASE(check_arythmetic_operations) -{ - //compute average +{ std::vector< std::pair > i1(3); i1[0] = std::pair( 1,2 ); i1[1] = std::pair( 3,8 ); diff --git a/src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp b/src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp index 16c9b085..9b8f539d 100644 --- a/src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp +++ b/src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp @@ -23,7 +23,7 @@ #include #include -#include +#include #include using namespace std; diff --git a/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp b/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp index 5b3d0609..f9757020 100644 --- a/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp +++ b/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp @@ -24,7 +24,7 @@ #include #include #include -#include +#include #include //persistence part: #include diff --git a/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp b/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp index d968b460..abcb3f55 100644 --- a/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp +++ b/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp @@ -23,7 +23,7 @@ #include #include -#include +#include #include using namespace std; diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp index efe4ec3d..631057af 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp @@ -44,7 +44,13 @@ int main( int argc , char** argv ) return 1; } - int p = atoi( argv[1] ); + int pp = atoi( argv[1] ); + double p = std::numeric_limits::max(); + if ( pp != -1 ) + { + p = pp; + } + std::vector< const char* > filenames; for ( int i = 2 ; i < argc ; ++i ) @@ -80,17 +86,17 @@ int main( int argc , char** argv ) } //and now output the result to the screen and a file: - ofstream out; + std::ofstream out; out.open( "distance" ); for ( size_t i = 0 ; i != distance.size() ; ++i ) { for ( size_t j = 0 ; j != distance.size() ; ++j ) { - cout << distance[i][j] << " "; + std::cout << distance[i][j] << " "; out << distance[i][j] << " "; } - cout << endl; - out << endl; + std::cout << std::endl; + out << std::endl; } out.close(); diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp index 4caf30af..46edbc28 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp @@ -71,17 +71,17 @@ int main( int argc , char** argv ) } //and now output the result to the screen and a file: - ofstream out; + std::ofstream out; out.open( "scalar_product" ); for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) { for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) { - cout << scalar_product[i][j] << " "; + std::cout << scalar_product[i][j] << " "; out << scalar_product[i][j] << " "; } - cout << endl; - out << endl; + std::cout << std::endl; + out << std::endl; } out.close(); diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp index 5f961332..2c398742 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp @@ -24,7 +24,7 @@ #include #include -#include +#include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp index e3c3a33e..937a902e 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp @@ -43,7 +43,13 @@ int main( int argc , char** argv ) return 1; } - int p = atoi( argv[1] ); + int pp = atoi( argv[1] ); + double p = std::numeric_limits::max(); + if ( pp != -1 ) + { + p = pp; + } + std::vector< const char* > filenames; for ( int i = 2 ; i < argc ; ++i ) @@ -75,23 +81,23 @@ int main( int argc , char** argv ) { for ( size_t j = i ; j != landscaspes.size() ; ++j ) { - distance[i][j] = distance[j][i] = compute_discance_of_landscapes( landscaspes[i], landscaspes[j] , p ) ; + distance[i][j] = distance[j][i] = compute_distance_of_landscapes( landscaspes[i], landscaspes[j] , p ) ; } } //and now output the result to the screen and a file: - ofstream out; + std::ofstream out; out.open( "distance" ); for ( size_t i = 0 ; i != distance.size() ; ++i ) { for ( size_t j = 0 ; j != distance.size() ; ++j ) { - cout << distance[i][j] << " "; + std::cout << distance[i][j] << " "; out << distance[i][j] << " "; } - cout << endl; - out << endl; + std::cout << std::endl; + out << std::endl; } out.close(); diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp index ef9de9c7..39772b9b 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp @@ -71,17 +71,17 @@ int main( int argc , char** argv ) } //and now output the result to the screen and a file: - ofstream out; + std::ofstream out; out.open( "scalar_product" ); for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) { for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) { - cout << scalar_product[i][j] << " "; + std::cout << scalar_product[i][j] << " "; out << scalar_product[i][j] << " "; } - cout << endl; - out << endl; + std::cout << std::endl; + out << std::endl; } out.close(); diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp index ace5066a..58c5ec47 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp @@ -43,7 +43,13 @@ int main( int argc , char** argv ) return 1; } - int p = atoi( argv[1] ); + int pp = atoi( argv[1] ); + double p = std::numeric_limits::max(); + if ( pp != -1 ) + { + p = pp; + } + std::vector< const char* > filenames; for ( int i = 2 ; i < argc ; ++i ) @@ -74,22 +80,22 @@ int main( int argc , char** argv ) { for ( size_t j = i ; j != landscaspes.size() ; ++j ) { - distance[i][j] = distance[j][i] = compute_discance_of_landscapes_on_grid( landscaspes[i], landscaspes[j] , p ) ; + distance[i][j] = distance[j][i] = compute_distance_of_landscapes_on_grid( landscaspes[i], landscaspes[j] , p ) ; } } //and now output the result to the screen and a file: - ofstream out; + std::ofstream out; out.open( "distance" ); for ( size_t i = 0 ; i != distance.size() ; ++i ) { for ( size_t j = 0 ; j != distance.size() ; ++j ) { - cout << distance[i][j] << " "; + std::cout << distance[i][j] << " "; out << distance[i][j] << " "; } - cout << endl; - out << endl; + std::cout << std::endl; + out << std::endl; } out.close(); diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp index a039a97a..e1a4788f 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp @@ -71,17 +71,17 @@ int main( int argc , char** argv ) } //and now output the result to the screen and a file: - ofstream out; + std::ofstream out; out.open( "scalar_product" ); for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) { for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) { - cout << scalar_product[i][j] << " "; + std::cout << scalar_product[i][j] << " "; out << scalar_product[i][j] << " "; } - cout << endl; - out << endl; + std::cout << std::endl; + out << std::endl; } out.close(); diff --git a/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp index 7b7faef0..2ca5989e 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp @@ -43,7 +43,13 @@ int main( int argc , char** argv ) return 1; } - int p = atoi( argv[1] ); + int pp = atoi( argv[1] ); + double p = std::numeric_limits::max(); + if ( pp != -1 ) + { + p = pp; + } + std::vector< const char* > filenames; for ( int i = 2 ; i < argc ; ++i ) @@ -80,17 +86,17 @@ int main( int argc , char** argv ) } //and now output the result to the screen and a file: - ofstream out; + std::ofstream out; out.open( "distance" ); for ( size_t i = 0 ; i != distance.size() ; ++i ) { for ( size_t j = 0 ; j != distance.size() ; ++j ) { - cout << distance[i][j] << " "; + std::cout << distance[i][j] << " "; out << distance[i][j] << " "; } - cout << endl; - out << endl; + std::cout << std::endl; + out << std::endl; } out.close(); diff --git a/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp index 74172712..78c6ab91 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp @@ -70,17 +70,17 @@ int main( int argc , char** argv ) } //and now output the result to the screen and a file: - ofstream out; + std::ofstream out; out.open( "scalar_product" ); for ( size_t i = 0 ; i != scalar_product.size() ; ++i ) { for ( size_t j = 0 ; j != scalar_product.size() ; ++j ) { - cout << scalar_product[i][j] << " "; + std::cout << scalar_product[i][j] << " "; out << scalar_product[i][j] << " "; } - cout << endl; - out << endl; + std::cout << std::endl; + out << std::endl; } out.close(); return 0; -- cgit v1.2.3 From 74ab2f3b7d7d616c78d4c116ab5e8c629a7fe9d6 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Fri, 9 Dec 2016 19:35:19 +0000 Subject: Ansvers to Marc's comments, part deux. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1842 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 361a254ad0837a344801c46049e09fb3b271bb0c --- .../concept/Real_valued_topological_data.h | 2 +- src/Gudhi_stat/doc/documentation.pdf | Bin 158173 -> 158097 bytes src/Gudhi_stat/doc/documentation.tex | 2 +- src/Gudhi_stat/example/persistence_heat_maps.cpp | 10 ++-- src/Gudhi_stat/example/vector_representation.cpp | 2 +- .../gudhi/concretizations/Persistence_heat_maps.h | 28 +++++----- .../gudhi/concretizations/Persistence_intervals.h | 10 ++-- .../gudhi/concretizations/Persistence_landscape.h | 59 +++++++-------------- .../Persistence_landscape_on_grid.h | 16 +++--- .../concretizations/Vector_distances_in_diagram.h | 6 +-- src/Gudhi_stat/include/gudhi/topological_process.h | 21 ++++---- src/Gudhi_stat/test/persistence_lanscapes_test.cpp | 16 +++--- 12 files changed, 77 insertions(+), 95 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/concept/Real_valued_topological_data.h b/src/Gudhi_stat/concept/Real_valued_topological_data.h index ead22bf4..4d4ee8d3 100644 --- a/src/Gudhi_stat/concept/Real_valued_topological_data.h +++ b/src/Gudhi_stat/concept/Real_valued_topological_data.h @@ -33,6 +33,6 @@ public: /** * This is a function to compute the projection from this container to reals. The parameter of a function have to be between 0 and the value returned by number_of_projections_to_R(). **/ - double project_to_R; + double project_to_R( size_t number_of_projection ); }; diff --git a/src/Gudhi_stat/doc/documentation.pdf b/src/Gudhi_stat/doc/documentation.pdf index 40bbea28..db8a7f1a 100644 Binary files a/src/Gudhi_stat/doc/documentation.pdf and b/src/Gudhi_stat/doc/documentation.pdf differ diff --git a/src/Gudhi_stat/doc/documentation.tex b/src/Gudhi_stat/doc/documentation.tex index a2430fc6..e89a8434 100644 --- a/src/Gudhi_stat/doc/documentation.tex +++ b/src/Gudhi_stat/doc/documentation.tex @@ -134,7 +134,7 @@ The detailed description of algorithms used to compute persistence landscapes ca \section{Persistence Landscapes on a grid} \label{sec:landscapes_on_grid} -This is an alternative, not--exact, representation of persistence landscapes defined in the Section~\ref{sec:persistence_landscapes}. Unlike in the Section~\ref{sec:persistence_landscapes} we build a representation of persistence landscape by sampling its values on a finite, equally distributed grid of points. Since, the persistence landscapes that originate from persistence diagrams have slope $1$ or $-1$, we have an estimate of a region between the grid points where the landscape cab be located. That allows to estimate an error make when performing various operations on landscape. Note that we do not have a similar estimation when a landscape is obtained as an average of collection of landscapes, since in this case the slopes of the lines can be arbitrary and we cannot determine the region where the average landscape is located. +This is an alternative, not--exact, representation of persistence landscapes defined in the Section~\ref{sec:persistence_landscapes}. Unlike in the Section~\ref{sec:persistence_landscapes} we build a representation of persistence landscape by sampling its values on a finite, equally distributed grid of points. Since, the persistence landscapes that originate from persistence diagrams have slope $1$ or $-1$, we have an estimate of a region between the grid points where the landscape cab be located. That allows to estimate an error make when performing various operations on landscape. Note that for average landscapes the slope is in range $[-1,1]$ and similar estimate can be used. Due to a lack of rigorous description of the algorithms to deal with this non--rigorous representaion of persistence landscapes in the literature, we are providing a short discussion of them in below. diff --git a/src/Gudhi_stat/example/persistence_heat_maps.cpp b/src/Gudhi_stat/example/persistence_heat_maps.cpp index 1d7a131a..2dd3d46d 100644 --- a/src/Gudhi_stat/example/persistence_heat_maps.cpp +++ b/src/Gudhi_stat/example/persistence_heat_maps.cpp @@ -155,8 +155,8 @@ int main( int argc , char** argv ) std::vector< Abs_Topological_data_with_averages* > to_average; - to_average.push_back( (Abs_Topological_data_with_averages*)(&p) ); - to_average.push_back( (Abs_Topological_data_with_averages*)(&q) ); + to_average.push_back( &p ); + to_average.push_back( &q ); Persistence_heat_maps av; av.compute_average( to_average ); av.plot( "average" ); @@ -169,9 +169,9 @@ int main( int argc , char** argv ) Persistence_heat_maps r( "file_with_diagram_2" , filter , constant_function, false , 1000 , 0 , 10 ); std::vector< Abs_Topological_data_with_averages* > to_average; - to_average.push_back( (Abs_Topological_data_with_averages*)(&p) ); - to_average.push_back( (Abs_Topological_data_with_averages*)(&q) ); - to_average.push_back( (Abs_Topological_data_with_averages*)(&r) ); + to_average.push_back( &p ); + to_average.push_back( &q ); + to_average.push_back( &r ); Persistence_heat_maps av; av.compute_average( to_average ); diff --git a/src/Gudhi_stat/example/vector_representation.cpp b/src/Gudhi_stat/example/vector_representation.cpp index e8963722..20d46d26 100644 --- a/src/Gudhi_stat/example/vector_representation.cpp +++ b/src/Gudhi_stat/example/vector_representation.cpp @@ -103,7 +103,7 @@ int main( int argc , char** argv ) cout << "p_prime : " < > average; average.compute_average( {&p,&p_prime} ); diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h index 22df8d8e..54f4076b 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_heat_maps.h @@ -196,13 +196,13 @@ public: * (2) a Gausian filter generated by create_Gaussian_filter filter (the default value of this vaiable is a Gaussian filter of a radius 5), * (3) a boolean value which determines if the area of image below diagonal should, or should not be erased (it will be erased by default). * (4) a number of pixels in each direction (set to 1000 by default). - * (5) a min x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data, - * (6) a max x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data. + * (5) a min x and y value of points that are to be taken into account. By default it is set to std::numeric_limits::max(), in which case the program compute the values based on the data, + * (6) a max x and y value of points that are to be taken into account. By default it is set to std::numeric_limits::max(), in which case the program compute the values based on the data. **/ - Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); + Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = std::numeric_limits::max() , double max_ = std::numeric_limits::max() ); /** - * Construction that takes at the input a name of a file with persistence intervals, a filter (radius 5 by default), a scaling function (constant by default), a boolean value which determines if the area of image below diagonal should, or should not be erased (should by default). The next parameter is the number of pixels in each direction (set to 1000 by default). and min and max values of images (both set to -1 by defaulet. If this is the case, the program will pick the right values based on the data). + * Construction that takes at the input a name of a file with persistence intervals, a filter (radius 5 by default), a scaling function (constant by default), a boolean value which determines if the area of image below diagonal should, or should not be erased (should by default). The next parameter is the number of pixels in each direction (set to 1000 by default). and min and max values of images (both set to std::numeric_limits::max() by defaulet. If this is the case, the program will pick the right values based on the data). **/ /** * Construction that takes at the input the following parameters: @@ -210,10 +210,10 @@ public: * (2) a Gausian filter generated by create_Gaussian_filter filter (the default value of this vaiable is a Gaussian filter of a radius 5), * (3) a boolean value which determines if the area of image below diagonal should, or should not be erased (it will be erased by default). * (4) a number of pixels in each direction (set to 1000 by default). - * (5) a min x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data, - * (6) a max x and y value of points that are to be taken into account. By default it is set to -1, in which case the program compute the values based on the data. + * (5) a min x and y value of points that are to be taken into account. By default it is set to std::numeric_limits::max(), in which case the program compute the values based on the data, + * (6) a max x and y value of points that are to be taken into account. By default it is set to std::numeric_limits::max(), in which case the program compute the values based on the data. **/ - Persistence_heat_maps( const char* filename , std::vector< std::vector > filter = create_Gaussian_filter(5,1), bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); + Persistence_heat_maps( const char* filename , std::vector< std::vector > filter = create_Gaussian_filter(5,1), bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = std::numeric_limits::max() , double max_ = std::numeric_limits::max() ); /** @@ -276,12 +276,12 @@ public: /** * Return minimal range value of persistent image. **/ - inline double give_me_min()const{return this->min_;} + inline double get_min()const{return this->min_;} /** * Return maximal range value of persistent image. **/ - inline double give_me_max()const{return this->max_;} + inline double get_max()const{return this->max_;} /** @@ -502,7 +502,7 @@ public: /** * The x-range of the persistence heat map. **/ - std::pair< double , double > give_me_x_range()const + std::pair< double , double > get_x_range()const { return std::make_pair( this->min_ , this->max_ ); } @@ -510,9 +510,9 @@ public: /** * The y-range of the persistence heat map. **/ - std::pair< double , double > give_me_y_range()const + std::pair< double , double > get_y_range()const { - return this->give_me_x_range(); + return this->get_x_range(); } @@ -526,7 +526,7 @@ protected: void construct( const std::vector< std::pair >& intervals_ , std::vector< std::vector > filter = create_Gaussian_filter(5,1), - bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); + bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = std::numeric_limits::max() , double max_ = std::numeric_limits::max() ); void set_up_parameters_for_basic_classes() { @@ -923,7 +923,7 @@ double Persistence_heat_maps::distance( const Persistence_h //if we are here, we know that the two persistence iomages are defined on the same domain, so we can start computing their distances: double distance = 0; - if ( power != std::numeric_limits::max() ) + if ( power < std::numeric_limits::max() ) { for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) { diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h index 3bd98835..c320b72d 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_intervals.h @@ -32,7 +32,7 @@ #include #include #include -#include +#include #include namespace Gudhi @@ -66,7 +66,7 @@ public: /** * This procedure returns x-range of a given persistence diagram. **/ - std::pair< double , double > give_me_x_range()const + std::pair< double , double > get_x_range()const { double min_ = std::numeric_limits::max(); double max_ = -std::numeric_limits::max(); @@ -81,7 +81,7 @@ public: /** * This procedure returns y-range of a given persistence diagram. **/ - std::pair< double , double > give_me_y_range()const + std::pair< double , double > get_y_range()const { double min_ = std::numeric_limits::max(); double max_ = -std::numeric_limits::max(); @@ -156,7 +156,7 @@ public: /** * Generating gnuplot script to plot the interval. **/ - void plot( const char* filename , double min_x = -1 , double max_x = -1 , double min_y = -1 , double max_y = -1 ) const + void plot( const char* filename , double min_x = std::numeric_limits::max() , double max_x = std::numeric_limits::max() , double min_y = std::numeric_limits::max() , double max_y = std::numeric_limits::max() ) const { //this program create a gnuplot script file that allows to plot persistence diagram. std::ofstream out; @@ -164,7 +164,7 @@ public: std::ostringstream nameSS; nameSS << filename << "_GnuplotScript"; std::string nameStr = nameSS.str(); - out.open( (char*)nameStr.c_str() ); + out.open( nameStr ); std::pair min_max_values = this->min_max(); if ( min_x == max_x ) diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h index bd41e1bd..26327744 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape.h @@ -104,7 +104,7 @@ public: /** * This function compute integral of the 'level'-level of a landscape. **/ - double compute_integral_of_landscape( size_t level )const; + double compute_integral_of_a_level_of_a_landscape( size_t level )const; /** @@ -249,7 +249,7 @@ public: /** - * Computations of minimum (y) value of landscape. + *\private Computations of minimum (y) value of landscape. **/ double compute_minimum()const { @@ -266,12 +266,12 @@ public: } /** - * Computations of a L^i norm of landscape, where i is the input parameter. + *\private Computations of a L^i norm of landscape, where i is the input parameter. **/ double compute_norm_of_landscape( double i ) { Persistence_landscape l; - if ( i != std::numeric_limits< double >::max() ) + if ( i < std::numeric_limits< double >::max() ) { return compute_distance_of_landscapes(*this,l,i); } @@ -287,14 +287,14 @@ public: double operator()(unsigned level,double x)const{return this->compute_value_at_a_given_point(level,x);} /** - * Computations of L^{\infty} distance between two landscapes. + *\private Computations of L^{\infty} distance between two landscapes. **/ friend double compute_max_norm_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second ); //friend double compute_max_norm_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second , unsigned& nrOfLand , double&x , double& y1, double& y2 ); /** - * Computations of L^{p} distance between two landscapes. p is the parameter of the procedure. + *\private Computations of L^{p} distance between two landscapes. p is the parameter of the procedure. **/ friend double compute_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second , double p ); @@ -317,7 +317,7 @@ public: double find_max( unsigned lambda )const; /** - * Function to compute inner (scalar) product of two landscapes. + *\private Function to compute inner (scalar) product of two landscapes. **/ friend double compute_inner_product( const Persistence_landscape& l1 , const Persistence_landscape& l2 ); @@ -343,7 +343,7 @@ public: **/ double project_to_R( int number_of_function )const { - return this->compute_integral_of_landscape( (size_t)number_of_function ); + return this->compute_integral_of_a_level_of_a_landscape( (size_t)number_of_function ); } /** @@ -443,7 +443,7 @@ public: **/ double distance( const Persistence_landscape& second , double power = 1 )const { - if ( power != std::numeric_limits::max() ) + if ( power < std::numeric_limits::max() ) { return compute_distance_of_landscapes( *this , second , power ); } @@ -470,7 +470,7 @@ public: * This procedure returns x-range of a given level persistence landscape. If a default value is used, the x-range * of 0th level landscape is given (and this range contains the ranges of all other landscapes). **/ - std::pair< double , double > give_me_x_range( size_t level = 0 )const + std::pair< double , double > get_x_range( size_t level = 0 )const { std::pair< double , double > result; if ( level < this->land.size() ) @@ -488,7 +488,7 @@ public: * This procedure returns y-range of a given level persistence landscape. If a default value is used, the y-range * of 0th level landscape is given (and this range contains the ranges of all other landscapes). **/ - std::pair< double , double > give_me_y_range( size_t level = 0 )const + std::pair< double , double > get_y_range( size_t level = 0 )const { std::pair< double , double > result; if ( level < this->land.size() ) @@ -504,31 +504,12 @@ public: return result; } - - - - - - - - - - - - - - - - - - std::vector< std::vector< std::pair > > output_for_visualization() - { - return this->land; - } //a function used to create a gnuplot script for visualization of landscapes - void plot( const char* filename, double xRangeBegin = -1 , double xRangeEnd = -1 , double yRangeBegin = -1 , double yRangeEnd = -1,int from = -1, int to = -1 ); + void plot( const char* filename, double xRangeBegin = std::numeric_limits::max() , double xRangeEnd = std::numeric_limits::max() , + double yRangeBegin = std::numeric_limits::max() , double yRangeEnd = std::numeric_limits::max(), + int from = std::numeric_limits::max(), int to = std::numeric_limits::max() ); protected: @@ -788,7 +769,7 @@ double Persistence_landscape::compute_integral_of_landscape()const return result; } -double Persistence_landscape::compute_integral_of_landscape( size_t level )const +double Persistence_landscape::compute_integral_of_a_level_of_a_landscape( size_t level )const { double result = 0; if ( level >= this->land.size() ) @@ -1308,7 +1289,7 @@ double compute_distance_of_landscapes( const Persistence_landscape& first, const if ( dbg ){std::cerr << "Abs of difference ; " << lan << std::endl;getchar();} - if ( p != std::numeric_limits::max() ) + if ( p < std::numeric_limits::max() ) { //\int_{- \infty}^{+\infty}| first-second |^p double result; @@ -1467,16 +1448,16 @@ void Persistence_landscape::plot( const char* filename, double xRangeBegin , do std::ostringstream nameSS; nameSS << filename << "_GnuplotScript"; std::string nameStr = nameSS.str(); - out.open( (char*)nameStr.c_str() ); + out.open( nameStr ); - if ( (xRangeBegin != -1) || (xRangeEnd != -1) || (yRangeBegin != -1) || (yRangeEnd != -1) ) + if ( (xRangeBegin != std::numeric_limits::max()) || (xRangeEnd != std::numeric_limits::max()) || (yRangeBegin != std::numeric_limits::max()) || (yRangeEnd != std::numeric_limits::max()) ) { out << "set xrange [" << xRangeBegin << " : " << xRangeEnd << "]" << std::endl; out << "set yrange [" << yRangeBegin << " : " << yRangeEnd << "]" << std::endl; } - if ( from == -1 ){from = 0;} - if ( to == -1 ){to = this->land.size();} + if ( from == std::numeric_limits::max() ){from = 0;} + if ( to == std::numeric_limits::max() ){to = this->land.size();} out << "plot "; for ( size_t lambda= std::min((size_t)from,this->land.size()) ; lambda != std::min((size_t)to,this->land.size()) ; ++lambda ) diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h index be60f858..08b93a0a 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h @@ -502,7 +502,7 @@ public: * This procedure returns x-range of a given level persistence landscape. If a default value is used, the x-range * of 0th level landscape is given (and this range contains the ranges of all other landscapes). **/ - std::pair< double , double > give_me_x_range( size_t level = 0 )const + std::pair< double , double > get_x_range( size_t level = 0 )const { return std::make_pair( this->grid_min , this->grid_max ); //std::pair< double , double > result; @@ -533,7 +533,7 @@ public: * This procedure returns y-range of a persistence landscape. If a default value is used, the y-range * of 0th level landscape is given (and this range contains the ranges of all other landscapes). **/ - std::pair< double , double > give_me_y_range( size_t level = 0 )const + std::pair< double , double > get_y_range( size_t level = 0 )const { return this->compute_minimum_maximum(); //std::pair< double , double > result; @@ -569,7 +569,7 @@ public: std::vector< std::pair< double , double > > p; Persistence_landscape_on_grid l(p,this->grid_min,this->grid_max,this->values_of_landscapes.size()-1); - if ( i != std::numeric_limits::max() ) + if ( i < std::numeric_limits::max() ) { return compute_distance_of_landscapes_on_grid(*this,l,i); } @@ -762,7 +762,7 @@ public: std::cerr << "Abs : " << lan << std::endl; } - if ( p != std::numeric_limits< double >::max() ) + if ( p < std::numeric_limits< double >::max() ) { //\int_{- \infty}^{+\infty}| first-second |^p double result; @@ -941,7 +941,7 @@ public: **/ double distance( const Persistence_landscape_on_grid& second , double power = 1 )const { - if ( power != std::numeric_limits::max() ) + if ( power < std::numeric_limits::max() ) { return compute_distance_of_landscapes_on_grid( *this , second , power ); } @@ -995,13 +995,13 @@ public: **/ void plot( const char* filename , size_t from_ , size_t to_ )const { - this->plot( filename , -1 , -1 , -1 , -1 , from_ , to_ ); + this->plot( filename , std::numeric_limits::max() , std::numeric_limits::max(), std::numeric_limits::max() , std::numeric_limits::max() , from_ , to_ ); } /** * function used to create a gnuplot script for visualization of landscapes. Over here we can restrict also x and y range of the landscape. **/ - void plot( const char* filename, double min_x = -1 , double max_x = -1 , double min_y = -1 , double max_y = -1 , size_t from_ = std::numeric_limits::max(), size_t to_= std::numeric_limits::max() )const; + void plot( const char* filename, double min_x = std::numeric_limits::max() , double max_x = std::numeric_limits::max() , double min_y = std::numeric_limits::max() , double max_y = std::numeric_limits::max() , size_t from_ = std::numeric_limits::max(), size_t to_= std::numeric_limits::max() )const; protected: @@ -1197,7 +1197,7 @@ void Persistence_landscape_on_grid::plot( const char* filename, double min_x , d std::ostringstream nameSS; nameSS << filename << "_GnuplotScript"; std::string nameStr = nameSS.str(); - out.open( (char*)nameStr.c_str() ); + out.open( nameStr ); if ( min_x == max_x ) { diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h index dc1df0c6..d44fa862 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Vector_distances_in_diagram.h @@ -263,7 +263,7 @@ public: /** * The x-range of the persistence vector. **/ - std::pair< double , double > give_me_x_range()const + std::pair< double , double > get_x_range()const { return std::make_pair( 0 , this->sorted_vector_of_distances.size() ); } @@ -271,7 +271,7 @@ public: /** * The y-range of the persistence vector. **/ - std::pair< double , double > give_me_y_range()const + std::pair< double , double > get_y_range()const { if ( this->sorted_vector_of_distances.size() == 0 )return std::make_pair(0,0); return std::make_pair( this->sorted_vector_of_distances[0] , 0); @@ -655,7 +655,7 @@ double Vector_distances_in_diagram::distance( const Vector_distances_in_diagr } else { - if ( power != std::numeric_limits::max() ) + if ( power < std::numeric_limits::max() ) { result += std::pow( fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) , power ); } diff --git a/src/Gudhi_stat/include/gudhi/topological_process.h b/src/Gudhi_stat/include/gudhi/topological_process.h index 0cd8670a..3b3f60e2 100644 --- a/src/Gudhi_stat/include/gudhi/topological_process.h +++ b/src/Gudhi_stat/include/gudhi/topological_process.h @@ -30,6 +30,7 @@ #include #include #include +#include //extras #include @@ -163,7 +164,7 @@ std::vector< Representation* > construct_representation_from_file( const std::ve std::vector< std::vector > filter = create_Gaussian_filter(5,1), bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , - double min_ = -1 , double max_ = -1 ) + double min_ = std::numeric_limits::max() , double max_ = std::numeric_limits::max() ) { std::vector< Representation* > result( intervals_from_file.size() ); for ( size_t i = 0 ; i != intervals_from_file.size() ; ++i ) @@ -265,26 +266,26 @@ public: } } - std::pair< double , double > give_me_x_range()const + std::pair< double , double > get_x_range()const { double min_x = std::numeric_limits< double >::max(); double max_x = -std::numeric_limits< double >::max(); for ( size_t i = 0 ; i != this->data.size() ; ++i ) { - std::pair< double , double > xrange = this->data[i]->give_me_x_range(); + std::pair< double , double > xrange = this->data[i]->get_x_range(); if ( min_x > xrange.first )min_x = xrange.first; if ( max_x < xrange.second )max_x = xrange.second; } return std::make_pair( min_x , max_x ); } - std::pair< double , double > give_me_y_range()const + std::pair< double , double > get_y_range()const { double min_y = std::numeric_limits< double >::max(); double max_y = -std::numeric_limits< double >::max(); for ( size_t i = 0 ; i != this->data.size() ; ++i ) { - std::pair< double , double > yrange = this->data[i]->give_me_y_range(); + std::pair< double , double > yrange = this->data[i]->get_y_range(); if ( min_y > yrange.first )min_y = yrange.first; if ( max_y < yrange.second )max_y = yrange.second; } @@ -297,11 +298,11 @@ public: bool are_the_data_aligned()const { if ( this->data.size() == 0 )return true;//empty collection is aligned - std::pair< double , double > x_range = this->data[0]->give_me_x_range(); - std::pair< double , double > y_range = this->data[0]->give_me_y_range(); + std::pair< double , double > x_range = this->data[0]->get_x_range(); + std::pair< double , double > y_range = this->data[0]->get_y_range(); for ( size_t i = 1 ; i != this->data.size() ; ++i ) { - if ( (x_range != this->data[i]->give_me_x_range()) || (y_range != this->data[i]->give_me_y_range()) ) + if ( (x_range != this->data[i]->get_x_range()) || (y_range != this->data[i]->get_y_range()) ) { return false; } @@ -313,7 +314,7 @@ public: //scalar products? //confidence bounds? - void plot( const char* filename , size_t delay = 30 , double min_x = -1 , double max_x = -1 , double min_y = -1 , double max_y = -1 ) + void plot( const char* filename , size_t delay = 30 , double min_x = std::numeric_limits::max() , double max_x = std::numeric_limits::max() , double min_y = std::numeric_limits::max() , double max_y = std::numeric_limits::max() ) { std::vector< std::string > filenames; //over here we need to @@ -362,7 +363,7 @@ public: }//plot - std::vector< Representation* > give_me_data(){return this->data;} + std::vector< Representation* > get_data(){return this->data;} private: std::vector< Representation* > data; }; diff --git a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp index d0a29588..30ebdba3 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp @@ -99,7 +99,7 @@ BOOST_AUTO_TEST_CASE(check_computations_of_integrals_for_each_level_separatelly) for ( size_t level = 0 ; level != p.size() ; ++level ) { - double integral = p.compute_integral_of_landscape( level ); + double integral = p.compute_integral_of_a_level_of_a_landscape( level ); BOOST_CHECK( fabs( integral - integrals_fir_different_levels[level] ) <= 0.00001 ); } @@ -110,16 +110,16 @@ BOOST_AUTO_TEST_CASE(check_computations_of_integrals_of_powers_of_landscape) Persistence_landscape p( "data/file_with_diagram" ); std::vector integrals_fir_different_powers; - integrals_fir_different_powers.push_back( 0.216432 ); - integrals_fir_different_powers.push_back( 0.204763 ); - integrals_fir_different_powers.push_back( 0.188793 ); - integrals_fir_different_powers.push_back( 0.178856 ); - integrals_fir_different_powers.push_back( 0.163142 ); + 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( power ); - BOOST_CHECK( fabs( integral - integrals_fir_different_powers[power] ) <= 0.00001 ); + double integral = p.compute_integral_of_landscape( (double)power ); + BOOST_CHECK( fabs( integral - integrals_fir_different_powers[power] ) <= 0.00005 ); } } -- cgit v1.2.3 From 2ae298359a9cf35392c075db3b83d3efeec94e4c Mon Sep 17 00:00:00 2001 From: pdlotko Date: Fri, 9 Dec 2016 20:02:35 +0000 Subject: Marc's comment (hopefuly last ones for today :) ). git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1843 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 5153630f5cdad616aa568db6f1540f26db473874 --- src/Gudhi_stat/example/persistence_heat_maps.cpp | 31 ++++-------------------- 1 file changed, 5 insertions(+), 26 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/persistence_heat_maps.cpp b/src/Gudhi_stat/example/persistence_heat_maps.cpp index 2dd3d46d..052b435f 100644 --- a/src/Gudhi_stat/example/persistence_heat_maps.cpp +++ b/src/Gudhi_stat/example/persistence_heat_maps.cpp @@ -154,11 +154,8 @@ int main( int argc , char** argv ) q.plot( "heat_map_2" ); - std::vector< Abs_Topological_data_with_averages* > to_average; - to_average.push_back( &p ); - to_average.push_back( &q ); Persistence_heat_maps av; - av.compute_average( to_average ); + av.compute_average( { &P , &q } ); av.plot( "average" ); */ @@ -167,13 +164,8 @@ int main( int argc , char** argv ) 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 ); - - std::vector< Abs_Topological_data_with_averages* > to_average; - to_average.push_back( &p ); - to_average.push_back( &q ); - to_average.push_back( &r ); Persistence_heat_maps av; - av.compute_average( to_average ); + av.compute_average( {&p,&q,&r} ); av.print_to_file( "template_average_of_heat_maps" ); */ @@ -190,11 +182,8 @@ int main( int argc , char** argv ) Persistence_heat_maps q( intervals2 , filter , constant_function, false , 10 , 0 , 10 ); q.plot( "heat_map_2" ); - std::vector< Persistence_heat_maps* > to_compute_median; - to_compute_median.push_back( &p ); - to_compute_median.push_back( &q ); Persistence_heat_maps median; - median.compute_median( to_compute_median ); + median.compute_median( {&p,&q} ); median.plot( "median" ); */ @@ -203,14 +192,8 @@ int main( int argc , char** argv ) 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 ); - - 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 ); - + median.compute_median( {&p,&q,&r} ); median.print_to_file( "template_median_of_heat_maps" ); */ @@ -221,12 +204,8 @@ int main( int argc , char** argv ) 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 ); - 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 ); + 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" ); -- cgit v1.2.3 From e2bb4a9ecc41619c48e808792bf33558f7fd5e53 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Sun, 11 Dec 2016 15:05:34 +0000 Subject: Answer to Marc's comment from Sunday. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1845 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: cb4c277633d435bfe9111150f40de46d2fa598c2 --- src/Gudhi_stat/example/persistence_heat_maps.cpp | 1 - src/Gudhi_stat/example/persistence_intervals.cpp | 2 - src/Gudhi_stat/example/vector_representation.cpp | 2 - .../Persistence_landscape_on_grid.h | 3 + .../include/gudhi/fill_in_missing_data.h | 8 +- src/Gudhi_stat/include/gudhi/permutation_test.h | 1 - src/Gudhi_stat/test/persistence_heat_maps_test.cpp | 1 - src/Gudhi_stat/test/persistence_intervals_test.cpp | 203 ++++++++++----------- .../test/persistence_lanscapes_on_grid_test.cpp | 1 - src/Gudhi_stat/test/persistence_lanscapes_test.cpp | 1 - src/Gudhi_stat/test/vector_representation_test.cpp | 1 - src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp | 2 +- src/Gudhi_stat/utilities/Landscape_bootstrap.cpp | 1 - .../utilities/Multiplicative_bootstrap.cpp | 1 - src/Gudhi_stat/utilities/permutation_test.cpp | 1 - ...te_birth_death_range_in_persistence_diagram.cpp | 8 +- .../compute_number_of_dominant_intervals.cpp | 8 +- .../plot_histogram_of_intervals_lengths.cpp | 8 +- .../plot_persistence_Betti_numebrs.cpp | 16 +- .../plot_persistence_intervals.cpp | 4 +- 20 files changed, 126 insertions(+), 147 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/persistence_heat_maps.cpp b/src/Gudhi_stat/example/persistence_heat_maps.cpp index 052b435f..c8dde3cd 100644 --- a/src/Gudhi_stat/example/persistence_heat_maps.cpp +++ b/src/Gudhi_stat/example/persistence_heat_maps.cpp @@ -36,7 +36,6 @@ using namespace Gudhi::Gudhi_stat; double epsilon = 0.0000005; -using namespace std; int main( int argc , char** argv ) diff --git a/src/Gudhi_stat/example/persistence_intervals.cpp b/src/Gudhi_stat/example/persistence_intervals.cpp index 04a3d948..044ba3c3 100644 --- a/src/Gudhi_stat/example/persistence_intervals.cpp +++ b/src/Gudhi_stat/example/persistence_intervals.cpp @@ -32,8 +32,6 @@ using namespace Gudhi; using namespace Gudhi::Gudhi_stat; -using namespace std; - int main( int argc , char** argv ) { diff --git a/src/Gudhi_stat/example/vector_representation.cpp b/src/Gudhi_stat/example/vector_representation.cpp index 20d46d26..981e63de 100644 --- a/src/Gudhi_stat/example/vector_representation.cpp +++ b/src/Gudhi_stat/example/vector_representation.cpp @@ -34,8 +34,6 @@ using namespace Gudhi; using namespace Gudhi::Gudhi_stat; -using namespace std; - diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h index 08b93a0a..d91b7431 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h @@ -992,6 +992,9 @@ public: /** * function used to create a gnuplot script for visualization of landscapes. Over here we need to specify which landscapes do we want to plot. + * In addition, the user may specify the range (min and max) where landscape is plot. The fefault values for min and max are std::numeric_limits::max(). If the procedure detect those + * values, it will determine the range so that the whole landscape is supported there. If at least one min or max value is different from std::numeric_limits::max(), then the values + * provided by the user will be used. **/ void plot( const char* filename , size_t from_ , size_t to_ )const { diff --git a/src/Gudhi_stat/include/gudhi/fill_in_missing_data.h b/src/Gudhi_stat/include/gudhi/fill_in_missing_data.h index d6ae6fe1..a9997aa2 100644 --- a/src/Gudhi_stat/include/gudhi/fill_in_missing_data.h +++ b/src/Gudhi_stat/include/gudhi/fill_in_missing_data.h @@ -70,7 +70,7 @@ void fill_in_missing_data( std::vector< Representation_of_topology* >& data , st while ( (is_the_position_filled_in[i+j] == false) && ( i+j != data.size() ) )++j; if ( dbg ) { - std::cout << "The position number : " << i << " is not filled in. The next filled-in position is : " << i+j << endl; + std::cout << "The position number : " << i << " is not filled in. The next filled-in position is : " << i+j << std::endl; } if ( i != 0 ) { @@ -86,7 +86,7 @@ void fill_in_missing_data( std::vector< Representation_of_topology* >& data , st is_the_position_filled_in[i+k] = true; if ( dbg ) { - cerr << "We fill in a position : " << i+k << " with: position " << i-1 << " with weight " << weight1 << " and position " << i+j << " with weight " << weight2 << endl; + std::cerr << "We fill in a position : " << i+k << " with: position " << i-1 << " with weight " << weight1 << " and position " << i+j << " with weight " << weight2 << std::endl; } } } @@ -115,7 +115,7 @@ void fill_in_missing_data( std::vector< Representation_of_topology* >& data , st is_the_position_filled_in[j-1] = true; if ( dbg ) { - cerr << "Filling in a position : " << j-1 << " by using: " << j << " and " << j+1 <& data , st is_the_position_filled_in[j] = true; if ( dbg ) { - cerr << "Filling in a position : " << j << " by using: " << j-1 << " and " << j-2 < #include -using namespace std; namespace Gudhi { diff --git a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp index ccfc208b..4447ba37 100644 --- a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp +++ b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp @@ -35,7 +35,6 @@ using namespace Gudhi; using namespace Gudhi::Gudhi_stat; -using namespace std; diff --git a/src/Gudhi_stat/test/persistence_intervals_test.cpp b/src/Gudhi_stat/test/persistence_intervals_test.cpp index 02af8347..7f18750a 100644 --- a/src/Gudhi_stat/test/persistence_intervals_test.cpp +++ b/src/Gudhi_stat/test/persistence_intervals_test.cpp @@ -38,19 +38,18 @@ using namespace Gudhi::Gudhi_stat; double epsilon = 0.0000005; -using namespace std; -//cout << "Left most end of the interval : " << min_max_.first << endl; -//cout << "Right most end of the interval : " << min_max_.second << endl; +//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.min_max(); - //cout << min_max_.first << " " << min_max_.second << endl;getchar(); + //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 ); @@ -167,13 +166,13 @@ BOOST_AUTO_TEST_CASE(check_characteristic_function_of_diagram) for ( size_t i = 0 ; i != char_funct_diag.size() ; ++i ) { - //cout << char_funct_diag[i] << endl; + //cout << char_funct_diag[i] << std::endl; if ( fabs ( char_funct_diag[i] - template_char_funct_diag[i] ) >= 0.0001 ) { - cout << "Boost test fail check_characteristic_function_of_diagram : " << endl; - cerr << char_funct_diag[i] << " " << template_char_funct_diag[i] << endl; - cerr << fabs ( char_funct_diag[i] - template_char_funct_diag[i] ) << endl; - cerr << 0.0001 << endl; + 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 ); @@ -201,7 +200,7 @@ BOOST_AUTO_TEST_CASE(check_cumulative_characteristic_function_of_diagram) for ( size_t i = 0 ; i != cumul_char_funct_diag.size() ; ++i ) { - //cout << cumul_char_funct_diag[i] << endl; + //cout << cumul_char_funct_diag[i] << std::endl; BOOST_CHECK( fabs (cumul_char_funct_diag[i] - template_char_funct_diag_cumul[i] ) <= 0.0001 ); } } @@ -211,96 +210,96 @@ 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(make_pair( 0.0290362,1 )); - pbns.push_back(make_pair( 0.0307676,2 )); - pbns.push_back(make_pair( 0.0366312,3 )); - pbns.push_back(make_pair( 0.0544614,4 )); - pbns.push_back(make_pair( 0.0920033,5 )); - pbns.push_back(make_pair( 0.104599,6 )); - pbns.push_back(make_pair( 0.114718,7 )); - pbns.push_back(make_pair( 0.117379,8 )); - pbns.push_back(make_pair( 0.123493,9 )); - pbns.push_back(make_pair( 0.133638,10 )); - pbns.push_back(make_pair( 0.137798,9 )); - pbns.push_back(make_pair( 0.149798,10 )); - pbns.push_back(make_pair( 0.155421,11 )); - pbns.push_back(make_pair( 0.158443,12 )); - pbns.push_back(make_pair( 0.176956,13 )); - pbns.push_back(make_pair( 0.183234,12 )); - pbns.push_back(make_pair( 0.191069,13 )); - pbns.push_back(make_pair( 0.191333,14 )); - pbns.push_back(make_pair( 0.191836,15 )); - pbns.push_back(make_pair( 0.192675,16 )); - pbns.push_back(make_pair( 0.208564,17 )); - pbns.push_back(make_pair( 0.218425,18 )); - pbns.push_back(make_pair( 0.219902,17 )); - pbns.push_back(make_pair( 0.23233,16 )); - pbns.push_back(make_pair( 0.234558,17 )); - pbns.push_back(make_pair( 0.237166,16 )); - pbns.push_back(make_pair( 0.247352,17 )); - pbns.push_back(make_pair( 0.267421,18 )); - pbns.push_back(make_pair( 0.268093,19 )); - pbns.push_back(make_pair( 0.278734,18 )); - pbns.push_back(make_pair( 0.284722,19 )); - pbns.push_back(make_pair( 0.284998,20 )); - pbns.push_back(make_pair( 0.294069,21 )); - pbns.push_back(make_pair( 0.306293,22 )); - pbns.push_back(make_pair( 0.322361,21 )); - pbns.push_back(make_pair( 0.323152,22 )); - pbns.push_back(make_pair( 0.371021,23 )); - pbns.push_back(make_pair( 0.372395,24 )); - pbns.push_back(make_pair( 0.387744,25 )); - pbns.push_back(make_pair( 0.435537,26 )); - pbns.push_back(make_pair( 0.462911,25 )); - pbns.push_back(make_pair( 0.483569,26 )); - pbns.push_back(make_pair( 0.489209,25 )); - pbns.push_back(make_pair( 0.517115,24 )); - pbns.push_back(make_pair( 0.522197,23 )); - pbns.push_back(make_pair( 0.532665,22 )); - pbns.push_back(make_pair( 0.545262,23 )); - pbns.push_back(make_pair( 0.587227,22 )); - pbns.push_back(make_pair( 0.593036,23 )); - pbns.push_back(make_pair( 0.602647,24 )); - pbns.push_back(make_pair( 0.605044,25 )); - pbns.push_back(make_pair( 0.621962,24 )); - pbns.push_back(make_pair( 0.629449,23 )); - pbns.push_back(make_pair( 0.636719,22 )); - pbns.push_back(make_pair( 0.64957,21 )); - pbns.push_back(make_pair( 0.650781,22 )); - pbns.push_back(make_pair( 0.654951,23 )); - pbns.push_back(make_pair( 0.683489,24 )); - pbns.push_back(make_pair( 0.687172,23 )); - pbns.push_back(make_pair( 0.69703,22 )); - pbns.push_back(make_pair( 0.701174,21 )); - pbns.push_back(make_pair( 0.717623,22 )); - pbns.push_back(make_pair( 0.722023,21 )); - pbns.push_back(make_pair( 0.722298,20 )); - pbns.push_back(make_pair( 0.725347,19 )); - pbns.push_back(make_pair( 0.73071,18 )); - pbns.push_back(make_pair( 0.758355,17 )); - pbns.push_back(make_pair( 0.770913,18 )); - pbns.push_back(make_pair( 0.790833,17 )); - pbns.push_back(make_pair( 0.821211,16 )); - pbns.push_back(make_pair( 0.849305,17 )); - pbns.push_back(make_pair( 0.853669,16 )); - pbns.push_back(make_pair( 0.866659,15 )); - pbns.push_back(make_pair( 0.872896,16 )); - pbns.push_back(make_pair( 0.889597,15 )); - pbns.push_back(make_pair( 0.900231,14 )); - pbns.push_back(make_pair( 0.903847,13 )); - pbns.push_back(make_pair( 0.906299,12 )); - pbns.push_back(make_pair( 0.910852,11 )); - pbns.push_back(make_pair( 0.93453,10 )); - pbns.push_back(make_pair( 0.944757,9 )); - pbns.push_back(make_pair( 0.947812,8 )); - pbns.push_back(make_pair( 0.959154,7 )); - pbns.push_back(make_pair( 0.975654,6 )); - pbns.push_back(make_pair( 0.976719,5 )); - pbns.push_back(make_pair( 0.977343,4 )); - pbns.push_back(make_pair( 0.980129,3 )); - pbns.push_back(make_pair( 0.987842,2 )); - pbns.push_back(make_pair( 0.990127,1 )); - pbns.push_back(make_pair( 0.994537,0 )); + pbns.push_back(std::make_pair( 0.0290362,1 )); + pbns.push_back(std::make_pair( 0.0307676,2 )); + pbns.push_back(std::make_pair( 0.0366312,3 )); + pbns.push_back(std::make_pair( 0.0544614,4 )); + pbns.push_back(std::make_pair( 0.0920033,5 )); + pbns.push_back(std::make_pair( 0.104599,6 )); + pbns.push_back(std::make_pair( 0.114718,7 )); + pbns.push_back(std::make_pair( 0.117379,8 )); + pbns.push_back(std::make_pair( 0.123493,9 )); + pbns.push_back(std::make_pair( 0.133638,10 )); + pbns.push_back(std::make_pair( 0.137798,9 )); + pbns.push_back(std::make_pair( 0.149798,10 )); + pbns.push_back(std::make_pair( 0.155421,11 )); + pbns.push_back(std::make_pair( 0.158443,12 )); + pbns.push_back(std::make_pair( 0.176956,13 )); + pbns.push_back(std::make_pair( 0.183234,12 )); + pbns.push_back(std::make_pair( 0.191069,13 )); + pbns.push_back(std::make_pair( 0.191333,14 )); + pbns.push_back(std::make_pair( 0.191836,15 )); + pbns.push_back(std::make_pair( 0.192675,16 )); + pbns.push_back(std::make_pair( 0.208564,17 )); + pbns.push_back(std::make_pair( 0.218425,18 )); + pbns.push_back(std::make_pair( 0.219902,17 )); + pbns.push_back(std::make_pair( 0.23233,16 )); + pbns.push_back(std::make_pair( 0.234558,17 )); + pbns.push_back(std::make_pair( 0.237166,16 )); + pbns.push_back(std::make_pair( 0.247352,17 )); + pbns.push_back(std::make_pair( 0.267421,18 )); + pbns.push_back(std::make_pair( 0.268093,19 )); + pbns.push_back(std::make_pair( 0.278734,18 )); + pbns.push_back(std::make_pair( 0.284722,19 )); + pbns.push_back(std::make_pair( 0.284998,20 )); + pbns.push_back(std::make_pair( 0.294069,21 )); + pbns.push_back(std::make_pair( 0.306293,22 )); + pbns.push_back(std::make_pair( 0.322361,21 )); + pbns.push_back(std::make_pair( 0.323152,22 )); + pbns.push_back(std::make_pair( 0.371021,23 )); + pbns.push_back(std::make_pair( 0.372395,24 )); + pbns.push_back(std::make_pair( 0.387744,25 )); + pbns.push_back(std::make_pair( 0.435537,26 )); + pbns.push_back(std::make_pair( 0.462911,25 )); + pbns.push_back(std::make_pair( 0.483569,26 )); + pbns.push_back(std::make_pair( 0.489209,25 )); + pbns.push_back(std::make_pair( 0.517115,24 )); + pbns.push_back(std::make_pair( 0.522197,23 )); + pbns.push_back(std::make_pair( 0.532665,22 )); + pbns.push_back(std::make_pair( 0.545262,23 )); + pbns.push_back(std::make_pair( 0.587227,22 )); + pbns.push_back(std::make_pair( 0.593036,23 )); + pbns.push_back(std::make_pair( 0.602647,24 )); + pbns.push_back(std::make_pair( 0.605044,25 )); + pbns.push_back(std::make_pair( 0.621962,24 )); + pbns.push_back(std::make_pair( 0.629449,23 )); + pbns.push_back(std::make_pair( 0.636719,22 )); + pbns.push_back(std::make_pair( 0.64957,21 )); + pbns.push_back(std::make_pair( 0.650781,22 )); + pbns.push_back(std::make_pair( 0.654951,23 )); + pbns.push_back(std::make_pair( 0.683489,24 )); + pbns.push_back(std::make_pair( 0.687172,23 )); + pbns.push_back(std::make_pair( 0.69703,22 )); + pbns.push_back(std::make_pair( 0.701174,21 )); + pbns.push_back(std::make_pair( 0.717623,22 )); + pbns.push_back(std::make_pair( 0.722023,21 )); + pbns.push_back(std::make_pair( 0.722298,20 )); + pbns.push_back(std::make_pair( 0.725347,19 )); + pbns.push_back(std::make_pair( 0.73071,18 )); + pbns.push_back(std::make_pair( 0.758355,17 )); + pbns.push_back(std::make_pair( 0.770913,18 )); + pbns.push_back(std::make_pair( 0.790833,17 )); + pbns.push_back(std::make_pair( 0.821211,16 )); + pbns.push_back(std::make_pair( 0.849305,17 )); + pbns.push_back(std::make_pair( 0.853669,16 )); + pbns.push_back(std::make_pair( 0.866659,15 )); + pbns.push_back(std::make_pair( 0.872896,16 )); + pbns.push_back(std::make_pair( 0.889597,15 )); + pbns.push_back(std::make_pair( 0.900231,14 )); + pbns.push_back(std::make_pair( 0.903847,13 )); + pbns.push_back(std::make_pair( 0.906299,12 )); + pbns.push_back(std::make_pair( 0.910852,11 )); + pbns.push_back(std::make_pair( 0.93453,10 )); + pbns.push_back(std::make_pair( 0.944757,9 )); + pbns.push_back(std::make_pair( 0.947812,8 )); + pbns.push_back(std::make_pair( 0.959154,7 )); + pbns.push_back(std::make_pair( 0.975654,6 )); + pbns.push_back(std::make_pair( 0.976719,5 )); + pbns.push_back(std::make_pair( 0.977343,4 )); + pbns.push_back(std::make_pair( 0.980129,3 )); + pbns.push_back(std::make_pair( 0.987842,2 )); + pbns.push_back(std::make_pair( 0.990127,1 )); + pbns.push_back(std::make_pair( 0.994537,0 )); @@ -308,7 +307,7 @@ BOOST_AUTO_TEST_CASE(check_compute_persistent_betti_numbers) 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 << endl; + //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 ); } @@ -334,7 +333,7 @@ BOOST_AUTO_TEST_CASE(check_k_n_n) for ( size_t i = 0 ; i != knn.size() ; ++i ) { - //cout << knn[i] << endl; + //cout << knn[i] << std::endl; BOOST_CHECK( fabs ( knn[i] - knn_template[i] ) <= 0.000005 ); } } diff --git a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp index 2e24f932..84b01f3e 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp @@ -38,7 +38,6 @@ using namespace Gudhi::Gudhi_stat; double epsilon = 0.0000005; -using namespace std; diff --git a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp index 30ebdba3..dd010174 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp @@ -38,7 +38,6 @@ using namespace Gudhi::Gudhi_stat; double epsilon = 0.0000005; -using namespace std; diff --git a/src/Gudhi_stat/test/vector_representation_test.cpp b/src/Gudhi_stat/test/vector_representation_test.cpp index b38c5147..dd84fc33 100644 --- a/src/Gudhi_stat/test/vector_representation_test.cpp +++ b/src/Gudhi_stat/test/vector_representation_test.cpp @@ -37,7 +37,6 @@ using namespace Gudhi; using namespace Gudhi::Gudhi_stat; -using namespace std; diff --git a/src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp b/src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp index 9b8f539d..a4eb73b8 100644 --- a/src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp +++ b/src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp @@ -26,7 +26,7 @@ #include #include -using namespace std; + using namespace Gudhi; using namespace Gudhi::Gudhi_stat; diff --git a/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp b/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp index f9757020..1cf4de94 100644 --- a/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp +++ b/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp @@ -35,7 +35,6 @@ -using namespace std; using namespace Gudhi; using namespace Gudhi::Gudhi_stat; using namespace Gudhi::persistent_cohomology; diff --git a/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp b/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp index abcb3f55..9981d5c4 100644 --- a/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp +++ b/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp @@ -26,7 +26,6 @@ #include #include -using namespace std; using namespace Gudhi; using namespace Gudhi::Gudhi_stat; diff --git a/src/Gudhi_stat/utilities/permutation_test.cpp b/src/Gudhi_stat/utilities/permutation_test.cpp index 809802d7..dfbe3129 100644 --- a/src/Gudhi_stat/utilities/permutation_test.cpp +++ b/src/Gudhi_stat/utilities/permutation_test.cpp @@ -26,7 +26,6 @@ #include #include -using namespace std; using namespace Gudhi; using namespace Gudhi::Gudhi_stat; diff --git a/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp b/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp index d73165b7..46711d27 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp @@ -34,20 +34,18 @@ using namespace Gudhi; using namespace Gudhi::Gudhi_stat; -using namespace std; - int main( int argc , char** argv ) { //std::cout << "This program compute minimum birth and the maximum death time for a collection of persistence intervals \n"; //if ( argc != 2 ) //{ - // cout << "To run this program, please provide the name of a file with persistence diagram \n"; + // std::cout << "To run this program, please provide the name of a file with persistence diagram \n"; // return 1; //} //Persistence_intervals p( argv[1] ); //std::pair min_max_ = p.min_max(); - //cout << "Birth-death range : min: " << min_max_.first << ", max: " << min_max_.second << endl; + //std::cout << "Birth-death range : min: " << min_max_.first << ", max: " << min_max_.second << endl; std::vector< const char* > filenames; for ( int i = 1 ; i < argc ; ++i ) @@ -66,6 +64,6 @@ int main( int argc , char** argv ) if ( min_max_.first < min_ )min_ = min_max_.first; if ( min_max_.second > max_ )max_ = min_max_.second; } - cout << "Birth-death range : min: " << min_ << ", max: " << max_ << endl; + std::cout << "Birth-death range : min: " << min_ << ", max: " << max_ << std::endl; return 0; } diff --git a/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp b/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp index d4949932..8c263705 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp @@ -32,24 +32,22 @@ using namespace Gudhi; using namespace Gudhi::Gudhi_stat; -using namespace std; - int main( int argc , char** argv ) { std::cout << "This program compute the dominant intervals. A number of intervals to be displayed is a parameter of this program. \n"; if ( argc != 3 ) { - cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n"; + std::cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n"; return 1; } Persistence_intervals p( argv[1] ); std::vector< std::pair > dominant_intervals = p.dominant_intervals( atoi( argv[2] ) ); - cout << "Here are the dominant intervals : " << endl; + std::cout << "Here are the dominant intervals : " << std::endl; for ( size_t i = 0 ; i != dominant_intervals.size() ; ++i ) { - cout << " " << dominant_intervals[i].first<< "," << dominant_intervals[i].second << " "<< endl; + std::cout << " " << dominant_intervals[i].first<< "," << dominant_intervals[i].second << " "<< std::endl; } return 0; diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp index 96e6fa47..f21afdd2 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp @@ -32,15 +32,13 @@ using namespace Gudhi; using namespace Gudhi::Gudhi_stat; -using namespace std; - int main( int argc , char** argv ) { std::cout << "This program compute a histogram of barcode's length. A number of bins in the histogram is a parameter of this program. \n"; if ( argc != 3 ) { - cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n"; + std::cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n"; return 1; } @@ -50,7 +48,7 @@ int main( int argc , char** argv ) std::stringstream gnuplot_script; gnuplot_script << argv[1] << "_Gnuplot_script"; - ofstream out; + std::ofstream out; out.open( gnuplot_script.str().c_str() ); out << "set style data histogram" << std::endl; @@ -61,7 +59,7 @@ int main( int argc , char** argv ) { out << histogram[i] << std::endl; } - out << endl; + out << std::endl; std::cout << "To vizualize, open gnuplot and type: load \'" << gnuplot_script.str().c_str() << "\'" << std::endl; out.close(); return 0; diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp index e4efdf79..d12c4605 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp @@ -32,15 +32,13 @@ using namespace Gudhi; using namespace Gudhi::Gudhi_stat; -using namespace std; - int main( int argc , char** argv ) { std::cout << "This program compute a plot of persistence Betti numbers. The input parameter is a file with persistence intervals. \n"; if ( argc != 2 ) { - cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n"; + std::cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n"; return 1; } @@ -48,7 +46,7 @@ int main( int argc , char** argv ) std::stringstream gnuplot_script; gnuplot_script << argv[1] << "_Gnuplot_script"; - ofstream out; + std::ofstream out; out.open( gnuplot_script.str().c_str() ); Persistence_intervals p( argv[1] ); @@ -68,22 +66,22 @@ int main( int argc , char** argv ) yRangeEnd += yRangeEnd/100; - out << "set xrange [" << xRangeBegin << " : " << xRangeEnd << "]" << endl; - out << "set yrange [" << yRangeBegin << " : " << yRangeEnd << "]" << endl; + out << "set xrange [" << xRangeBegin << " : " << xRangeEnd << "]" << std::endl; + out << "set yrange [" << yRangeBegin << " : " << yRangeEnd << "]" << std::endl; out << "plot '-' using 1:2 notitle with lp " << std::endl; double previous_y = 0; for ( size_t i = 0 ; i != pbns.size() ; ++i ) { - out << pbns[i].first << " " << previous_y << endl; + out << pbns[i].first << " " << previous_y << std::endl; out << pbns[i].first << " " << pbns[i].second << std::endl; previous_y = pbns[i].second; } - out << endl; + out << std::endl; out.close(); //for ( size_t i = 0 ; i != pbns.size() ; ++i ) //{ - // cout << pbns[i].first << " " << pbns[i].second << std::endl; + // std::cout << pbns[i].first << " " << pbns[i].second << std::endl; //} std::cout << "To vizualize, open gnuplot and type: load \'" << gnuplot_script.str().c_str() << "\'" << std::endl; diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp index 2c398742..d2e49ef3 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp @@ -36,14 +36,12 @@ using namespace Gudhi::Gudhi_stat; double epsilon = 0.0000005; -using namespace std; - int main( int argc , char** argv ) { if ( argc != 2 ) { - cout << "To run this program, please provide the name of a file with persistence diagram \n"; + std::cout << "To run this program, please provide the name of a file with persistence diagram \n"; return 1; } -- cgit v1.2.3 From 0234f4cfd97f6fb5dbf32ec165e85577b10db823 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Sun, 11 Dec 2016 19:14:25 +0000 Subject: a few more changes... git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@1846 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: adc13cd41fd36c3e0107b32c7e0431dbf217955e --- src/Gudhi_stat/example/persistence_landscape.cpp | 6 +- .../example/persistence_landscape_on_grid.cpp | 6 +- .../Persistence_landscape_on_grid.h | 2 +- src/Gudhi_stat/test/persistence_intervals_test.cpp | 180 ++++++++++----------- 4 files changed, 97 insertions(+), 97 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/persistence_landscape.cpp b/src/Gudhi_stat/example/persistence_landscape.cpp index 14cb1a51..bb1cecea 100644 --- a/src/Gudhi_stat/example/persistence_landscape.cpp +++ b/src/Gudhi_stat/example/persistence_landscape.cpp @@ -182,9 +182,9 @@ if ( argc != 2 ) cout << "L^3 norm : " << p.compute_norm_of_landscape(3) << endl; - cout << "L^1 distance : " << compute_discance_of_landscapes(p,sum,1) << endl; - cout << "L^2 distance : " << compute_discance_of_landscapes(p,sum,2) << endl; - cout << "L^infty distance : " << compute_discance_of_landscapes(p,sum,std::numeric_limits::max() ) << endl; + cout << "L^1 distance : " << compute_distance_of_landscapes(p,sum,1) << endl; + cout << "L^2 distance : " << compute_distance_of_landscapes(p,sum,2) << endl; + cout << "L^infty distance : " << compute_distance_of_landscapes(p,sum,std::numeric_limits::max() ) << endl; { Persistence_landscape p( "../test/data/file_with_diagram" ); diff --git a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp index 282acb2d..9133944d 100644 --- a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp +++ b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp @@ -156,9 +156,9 @@ int main( int argc , char** argv ) cerr << "2-norm : " << p.compute_norm_of_landscape(2) << endl; cerr << "3-norm : " << p.compute_norm_of_landscape(3) << endl; - cerr << compute_discance_of_landscapes_on_grid(p,sum,1) << endl; - cerr << compute_discance_of_landscapes_on_grid(p,sum,2) << endl; - cerr << compute_discance_of_landscapes_on_grid(p,sum,-1) << 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; */ /* diff --git a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h index d91b7431..369d4a64 100644 --- a/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h +++ b/src/Gudhi_stat/include/gudhi/concretizations/Persistence_landscape_on_grid.h @@ -726,7 +726,7 @@ public: previous_y_l1 = current_y_l1; previous_y_l2 = current_y_l2; - } + } return result; } diff --git a/src/Gudhi_stat/test/persistence_intervals_test.cpp b/src/Gudhi_stat/test/persistence_intervals_test.cpp index 7f18750a..96d913e0 100644 --- a/src/Gudhi_stat/test/persistence_intervals_test.cpp +++ b/src/Gudhi_stat/test/persistence_intervals_test.cpp @@ -210,96 +210,96 @@ 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::make_pair( 0.0290362,1 )); - pbns.push_back(std::make_pair( 0.0307676,2 )); - pbns.push_back(std::make_pair( 0.0366312,3 )); - pbns.push_back(std::make_pair( 0.0544614,4 )); - pbns.push_back(std::make_pair( 0.0920033,5 )); - pbns.push_back(std::make_pair( 0.104599,6 )); - pbns.push_back(std::make_pair( 0.114718,7 )); - pbns.push_back(std::make_pair( 0.117379,8 )); - pbns.push_back(std::make_pair( 0.123493,9 )); - pbns.push_back(std::make_pair( 0.133638,10 )); - pbns.push_back(std::make_pair( 0.137798,9 )); - pbns.push_back(std::make_pair( 0.149798,10 )); - pbns.push_back(std::make_pair( 0.155421,11 )); - pbns.push_back(std::make_pair( 0.158443,12 )); - pbns.push_back(std::make_pair( 0.176956,13 )); - pbns.push_back(std::make_pair( 0.183234,12 )); - pbns.push_back(std::make_pair( 0.191069,13 )); - pbns.push_back(std::make_pair( 0.191333,14 )); - pbns.push_back(std::make_pair( 0.191836,15 )); - pbns.push_back(std::make_pair( 0.192675,16 )); - pbns.push_back(std::make_pair( 0.208564,17 )); - pbns.push_back(std::make_pair( 0.218425,18 )); - pbns.push_back(std::make_pair( 0.219902,17 )); - pbns.push_back(std::make_pair( 0.23233,16 )); - pbns.push_back(std::make_pair( 0.234558,17 )); - pbns.push_back(std::make_pair( 0.237166,16 )); - pbns.push_back(std::make_pair( 0.247352,17 )); - pbns.push_back(std::make_pair( 0.267421,18 )); - pbns.push_back(std::make_pair( 0.268093,19 )); - pbns.push_back(std::make_pair( 0.278734,18 )); - pbns.push_back(std::make_pair( 0.284722,19 )); - pbns.push_back(std::make_pair( 0.284998,20 )); - pbns.push_back(std::make_pair( 0.294069,21 )); - pbns.push_back(std::make_pair( 0.306293,22 )); - pbns.push_back(std::make_pair( 0.322361,21 )); - pbns.push_back(std::make_pair( 0.323152,22 )); - pbns.push_back(std::make_pair( 0.371021,23 )); - pbns.push_back(std::make_pair( 0.372395,24 )); - pbns.push_back(std::make_pair( 0.387744,25 )); - pbns.push_back(std::make_pair( 0.435537,26 )); - pbns.push_back(std::make_pair( 0.462911,25 )); - pbns.push_back(std::make_pair( 0.483569,26 )); - pbns.push_back(std::make_pair( 0.489209,25 )); - pbns.push_back(std::make_pair( 0.517115,24 )); - pbns.push_back(std::make_pair( 0.522197,23 )); - pbns.push_back(std::make_pair( 0.532665,22 )); - pbns.push_back(std::make_pair( 0.545262,23 )); - pbns.push_back(std::make_pair( 0.587227,22 )); - pbns.push_back(std::make_pair( 0.593036,23 )); - pbns.push_back(std::make_pair( 0.602647,24 )); - pbns.push_back(std::make_pair( 0.605044,25 )); - pbns.push_back(std::make_pair( 0.621962,24 )); - pbns.push_back(std::make_pair( 0.629449,23 )); - pbns.push_back(std::make_pair( 0.636719,22 )); - pbns.push_back(std::make_pair( 0.64957,21 )); - pbns.push_back(std::make_pair( 0.650781,22 )); - pbns.push_back(std::make_pair( 0.654951,23 )); - pbns.push_back(std::make_pair( 0.683489,24 )); - pbns.push_back(std::make_pair( 0.687172,23 )); - pbns.push_back(std::make_pair( 0.69703,22 )); - pbns.push_back(std::make_pair( 0.701174,21 )); - pbns.push_back(std::make_pair( 0.717623,22 )); - pbns.push_back(std::make_pair( 0.722023,21 )); - pbns.push_back(std::make_pair( 0.722298,20 )); - pbns.push_back(std::make_pair( 0.725347,19 )); - pbns.push_back(std::make_pair( 0.73071,18 )); - pbns.push_back(std::make_pair( 0.758355,17 )); - pbns.push_back(std::make_pair( 0.770913,18 )); - pbns.push_back(std::make_pair( 0.790833,17 )); - pbns.push_back(std::make_pair( 0.821211,16 )); - pbns.push_back(std::make_pair( 0.849305,17 )); - pbns.push_back(std::make_pair( 0.853669,16 )); - pbns.push_back(std::make_pair( 0.866659,15 )); - pbns.push_back(std::make_pair( 0.872896,16 )); - pbns.push_back(std::make_pair( 0.889597,15 )); - pbns.push_back(std::make_pair( 0.900231,14 )); - pbns.push_back(std::make_pair( 0.903847,13 )); - pbns.push_back(std::make_pair( 0.906299,12 )); - pbns.push_back(std::make_pair( 0.910852,11 )); - pbns.push_back(std::make_pair( 0.93453,10 )); - pbns.push_back(std::make_pair( 0.944757,9 )); - pbns.push_back(std::make_pair( 0.947812,8 )); - pbns.push_back(std::make_pair( 0.959154,7 )); - pbns.push_back(std::make_pair( 0.975654,6 )); - pbns.push_back(std::make_pair( 0.976719,5 )); - pbns.push_back(std::make_pair( 0.977343,4 )); - pbns.push_back(std::make_pair( 0.980129,3 )); - pbns.push_back(std::make_pair( 0.987842,2 )); - pbns.push_back(std::make_pair( 0.990127,1 )); - pbns.push_back(std::make_pair( 0.994537,0 )); + 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 )); -- cgit v1.2.3 From ee086a78f61f1ac6dd14ecab6e34d6710c971f64 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Fri, 24 Mar 2017 20:22:47 +0000 Subject: Answer to Marc's comments. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@2240 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 20c02d536373553322a3e10eb4aacc2959db654a --- .../concept/Topological_data_with_averages.h | 1 + .../concept/Topological_data_with_distances.h | 4 + src/Gudhi_stat/example/persistence_heat_maps.cpp | 120 +------------------ src/Gudhi_stat/example/persistence_intervals.cpp | 2 +- src/Gudhi_stat/example/persistence_landscape.cpp | 128 +------------------- .../example/persistence_landscape_on_grid.cpp | 109 +---------------- src/Gudhi_stat/example/vector_representation.cpp | 32 +---- .../include/gudhi/multiplicative_bootstrap.h | 8 +- src/Gudhi_stat/include/gudhi/topological_process.h | 8 +- src/Gudhi_stat/test/persistence_heat_maps_test.cpp | 120 ++++++++++++++++++- src/Gudhi_stat/test/persistence_intervals_test.cpp | 2 +- .../test/persistence_lanscapes_on_grid_test.cpp | 109 ++++++++++++++++- src/Gudhi_stat/test/persistence_lanscapes_test.cpp | 129 ++++++++++++++++++++- src/Gudhi_stat/test/vector_representation_test.cpp | 2 +- src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp | 2 +- src/Gudhi_stat/utilities/Landscape_bootstrap.cpp | 4 +- .../utilities/Multiplicative_bootstrap.cpp | 2 +- src/Gudhi_stat/utilities/permutation_test.cpp | 2 +- .../average_persistence_heat_maps.cpp | 2 +- .../compute_distance_of_persistence_heat_maps.cpp | 2 +- ...ute_scalar_product_of_persistence_heat_maps.cpp | 2 +- .../create_persistence_heat_maps.cpp | 2 +- ...aps_weighted_by_arctan_of_their_persistence.cpp | 2 +- ...eat_maps_weighted_by_distance_from_diagonal.cpp | 2 +- ..._weighted_by_squared_distance_from_diagonal.cpp | 2 +- .../persistence_heat_maps/create_pssk.cpp | 2 +- .../plot_persistence_heat_map.cpp | 2 +- ...te_birth_death_range_in_persistence_diagram.cpp | 2 +- .../compute_number_of_dominant_intervals.cpp | 2 +- .../plot_histogram_of_intervals_lengths.cpp | 4 +- .../plot_persistence_Betti_numebrs.cpp | 2 +- .../plot_persistence_intervals.cpp | 2 +- .../persistence_landscapes/average_landscapes.cpp | 2 +- .../compute_distance_of_landscapes.cpp | 2 +- .../compute_scalar_product_of_landscapes.cpp | 2 +- .../persistence_landscapes/create_landscapes.cpp | 6 +- .../persistence_landscapes/plot_landscapes.cpp | 2 +- .../average_landscapes_on_grid.cpp | 2 +- .../compute_distance_of_landscapes_on_grid.cpp | 2 +- ...ompute_scalar_product_of_landscapes_on_grid.cpp | 2 +- .../create_landscapes_on_grid.cpp | 2 +- .../plot_landscapes_on_grid.cpp | 2 +- .../average_persistence_vectors.cpp | 2 +- .../compute_distance_of_persistence_vectors.cpp | 2 +- ...mpute_scalar_product_of_persistence_vectors.cpp | 2 +- .../create_persistence_vectors.cpp | 2 +- .../plot_persistence_vectors.cpp | 2 +- 47 files changed, 412 insertions(+), 436 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/concept/Topological_data_with_averages.h b/src/Gudhi_stat/concept/Topological_data_with_averages.h index 67433860..aeeb94f0 100644 --- a/src/Gudhi_stat/concept/Topological_data_with_averages.h +++ b/src/Gudhi_stat/concept/Topological_data_with_averages.h @@ -25,6 +25,7 @@ /** \brief The concept Topological_data_with_averages describes the requirements * for a type to implement a container that allows computations of averages. + * Note that the average object after being computed is stored in *this. */ class Topological_data_with_averages { diff --git a/src/Gudhi_stat/concept/Topological_data_with_distances.h b/src/Gudhi_stat/concept/Topological_data_with_distances.h index 536ae821..1318b9d1 100644 --- a/src/Gudhi_stat/concept/Topological_data_with_distances.h +++ b/src/Gudhi_stat/concept/Topological_data_with_distances.h @@ -22,6 +22,10 @@ /** \brief The concept Topological_data_with_distances describes the requirements * for a type to implement a container that allows computations of distance to another contained of that type. + * The second parameter of the distance function allow to declare power of a distance. The exact meaning of that + * number will be different for different distances. A few examples are given below: + * In case of p-Wasserstein distance, the power is equal to p. power = std::limit::max() for bottleneck distance. + * In case of L^p landscape distance, the power is equal to p. s */ class Topological_data_with_distances { diff --git a/src/Gudhi_stat/example/persistence_heat_maps.cpp b/src/Gudhi_stat/example/persistence_heat_maps.cpp index c8dde3cd..0e5f7b79 100644 --- a/src/Gudhi_stat/example/persistence_heat_maps.cpp +++ b/src/Gudhi_stat/example/persistence_heat_maps.cpp @@ -23,7 +23,7 @@ #include -#include +#include #include #include @@ -91,121 +91,3 @@ int main( int argc , char** argv ) - - - -//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/Gudhi_stat/example/persistence_intervals.cpp b/src/Gudhi_stat/example/persistence_intervals.cpp index 044ba3c3..04c758e6 100644 --- a/src/Gudhi_stat/example/persistence_intervals.cpp +++ b/src/Gudhi_stat/example/persistence_intervals.cpp @@ -23,7 +23,7 @@ #include -#include +#include #include diff --git a/src/Gudhi_stat/example/persistence_landscape.cpp b/src/Gudhi_stat/example/persistence_landscape.cpp index bb1cecea..9385c408 100644 --- a/src/Gudhi_stat/example/persistence_landscape.cpp +++ b/src/Gudhi_stat/example/persistence_landscape.cpp @@ -22,7 +22,7 @@ -#include +#include @@ -90,129 +90,3 @@ int main( int argc , char** argv ) return 0; } - -//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/Gudhi_stat/example/persistence_landscape_on_grid.cpp b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp index 9133944d..d432d757 100644 --- a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp +++ b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp @@ -22,7 +22,7 @@ -#include +#include @@ -86,110 +86,3 @@ int main( int argc , char** argv ) return 0; } - - -//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/Gudhi_stat/example/vector_representation.cpp b/src/Gudhi_stat/example/vector_representation.cpp index 981e63de..476deeba 100644 --- a/src/Gudhi_stat/example/vector_representation.cpp +++ b/src/Gudhi_stat/example/vector_representation.cpp @@ -22,7 +22,7 @@ -#include +#include #include @@ -78,33 +78,3 @@ int main( int argc , char** argv ) return 0; } - - - - -/* - if ( argc < 2 ) - { - cout << "To run this program, please provide the name of a file with persistence diagram. If you provide two files, we will do distance, scalar produc and average computations \n"; - return 1; - } - - Vector_distances_in_diagram< Euclidean_distance > p( argv[1] , 100 ); - cout << "This is a vector corresponding to the input persistence diagram : \n"; - cout << p << endl; - - - - if ( argc == 3 ) - { - Vector_distances_in_diagram< Euclidean_distance > p_prime( argv[2] , 100); - - cout << "p_prime : " < > average; - average.compute_average( {&p,&p_prime} ); - - cout << "Here is an average : " << average << endl; - } -*/ diff --git a/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h b/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h index b38536d9..c350349c 100644 --- a/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h +++ b/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h @@ -24,10 +24,10 @@ #define BOOTSTRAP_H //concretizations -#include -#include -#include -#include +#include +#include +#include +#include #ifdef GUDHI_USE_TBB #include diff --git a/src/Gudhi_stat/include/gudhi/topological_process.h b/src/Gudhi_stat/include/gudhi/topological_process.h index ac658aee..4a41c0a7 100644 --- a/src/Gudhi_stat/include/gudhi/topological_process.h +++ b/src/Gudhi_stat/include/gudhi/topological_process.h @@ -25,10 +25,10 @@ //concretizations -#include -#include -#include -#include +#include +#include +#include +#include #include #include diff --git a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp index 4447ba37..fb094912 100644 --- a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp +++ b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp @@ -26,7 +26,7 @@ #define BOOST_TEST_MODULE "gudhi_stat" #include #include -#include +#include #include @@ -258,3 +258,121 @@ BOOST_AUTO_TEST_CASE(check_arythmetic_operations_for_heat_maps) } + + + +//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/Gudhi_stat/test/persistence_intervals_test.cpp b/src/Gudhi_stat/test/persistence_intervals_test.cpp index 96d913e0..d46d009b 100644 --- a/src/Gudhi_stat/test/persistence_intervals_test.cpp +++ b/src/Gudhi_stat/test/persistence_intervals_test.cpp @@ -26,7 +26,7 @@ #define BOOST_TEST_MODULE "gudhi_stat" #include #include -#include "gudhi/concretizations/Persistence_intervals.h" +#include "gudhi/persistence_representations/Persistence_intervals.h" #include diff --git a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp index 84b01f3e..2e4ba8d9 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp @@ -26,7 +26,7 @@ #define BOOST_TEST_MODULE "gudhi_stat" #include #include -#include +#include #include @@ -247,3 +247,110 @@ BOOST_AUTO_TEST_CASE(check_computations_of_scalar_product) } + + +//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/Gudhi_stat/test/persistence_lanscapes_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp index dd010174..9b9f9d7b 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp @@ -26,7 +26,7 @@ #define BOOST_TEST_MODULE "gudhi_stat" #include #include -#include +#include #include @@ -217,3 +217,130 @@ BOOST_AUTO_TEST_CASE(check_computations_of_scalar_product) 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/Gudhi_stat/test/vector_representation_test.cpp b/src/Gudhi_stat/test/vector_representation_test.cpp index dd84fc33..f69673dd 100644 --- a/src/Gudhi_stat/test/vector_representation_test.cpp +++ b/src/Gudhi_stat/test/vector_representation_test.cpp @@ -21,7 +21,7 @@ */ -#include +#include #include #include diff --git a/src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp b/src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp index 78c75bd4..7fd665c3 100644 --- a/src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp +++ b/src/Gudhi_stat/utilities/Hausdorff_bootstrap.cpp @@ -24,7 +24,7 @@ #include #include #include -#include +#include using namespace Gudhi; diff --git a/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp b/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp index 1b24771a..0827bfdf 100644 --- a/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp +++ b/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp @@ -23,9 +23,9 @@ //stat part: #include #include -#include +#include #include -#include +#include //persistence part: #include #include diff --git a/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp b/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp index 92020c21..9a607251 100644 --- a/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp +++ b/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp @@ -24,7 +24,7 @@ #include #include #include -#include +#include using namespace Gudhi; using namespace Gudhi::Gudhi_stat; diff --git a/src/Gudhi_stat/utilities/permutation_test.cpp b/src/Gudhi_stat/utilities/permutation_test.cpp index dfbe3129..94f92d29 100644 --- a/src/Gudhi_stat/utilities/permutation_test.cpp +++ b/src/Gudhi_stat/utilities/permutation_test.cpp @@ -22,7 +22,7 @@ #include -#include +#include #include #include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp index 3ef863c6..901f1a03 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp @@ -22,7 +22,7 @@ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp index cb094dff..e4f5fca6 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp @@ -21,7 +21,7 @@ */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp index 46edbc28..cdeba692 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp @@ -21,7 +21,7 @@ */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp index d5f5d75f..5d2100aa 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp @@ -22,7 +22,7 @@ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp index 6c306566..8496e33e 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp @@ -22,7 +22,7 @@ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp index 6ac9e40c..83d4f3bc 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp @@ -21,7 +21,7 @@ */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp index 91b3fb22..f62615f5 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp @@ -21,7 +21,7 @@ */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp index ec35f81c..d38bb8b9 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp index 39a46adb..59b14fe8 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp @@ -21,7 +21,7 @@ */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp b/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp index 46711d27..145040fe 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp @@ -23,7 +23,7 @@ #include -#include +#include #include #include diff --git a/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp b/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp index 8c263705..eeda703a 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp @@ -23,7 +23,7 @@ #include -#include +#include #include diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp index f21afdd2..db9c3f98 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp @@ -23,7 +23,7 @@ #include -#include +#include #include @@ -44,7 +44,7 @@ int main( int argc , char** argv ) Persistence_intervals p( argv[1] ); std::vector< std::pair > dominant_intervals = p.dominant_intervals( atoi( argv[2] ) ); - std::vector< size_t > histogram = p.histograms_of_lengths( 10 ); + std::vector< size_t > histogram = p.histogram_of_lengths( 10 ); std::stringstream gnuplot_script; gnuplot_script << argv[1] << "_Gnuplot_script"; diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp index d12c4605..cb89f6b9 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numebrs.cpp @@ -23,7 +23,7 @@ #include -#include +#include #include diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp index d2e49ef3..40f6fbaf 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp @@ -23,7 +23,7 @@ #include -#include +#include #include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/average_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/average_landscapes.cpp index 35aec203..2a50acd8 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/average_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/average_landscapes.cpp @@ -22,7 +22,7 @@ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp index 937a902e..0b16ac26 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp index 39772b9b..16a15174 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/create_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/create_landscapes.cpp index b67ec566..5485bf2a 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/create_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/create_landscapes.cpp @@ -20,8 +20,7 @@ * along with this program. If not, see . */ -#include - +#include using namespace Gudhi; @@ -43,7 +42,8 @@ int main( int argc , char** argv ) std::cout << "Creating persistence landscapes...\n"; for ( size_t i = 0 ; i != filenames.size() ; ++i ) { - Persistence_landscape l( filenames[i] , 0 ); + //std::vector< std::pair< double , double > > pers = read_standard_file( filename ); + Persistence_landscape l( filenames[i] , 1 ); std::stringstream ss; ss << filenames[i] << ".land"; l.print_to_file( ss.str().c_str() ); diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/plot_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/plot_landscapes.cpp index 0d72a17c..aad8e147 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/plot_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/plot_landscapes.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp index 2f6875b2..d3851734 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp index 58c5ec47..29c37159 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp index e1a4788f..326e5587 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp @@ -21,7 +21,7 @@ */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp index 2b205513..4f36f02d 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp index 27946075..b5687ea2 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp index 3f6409c6..822d0e2a 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp @@ -21,7 +21,7 @@ */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp index 2ca5989e..6d242cd1 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp index 78c6ab91..e4c62194 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp index f3cf7289..926e46fd 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp index 06411283..0ef30be8 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include -- cgit v1.2.3 From 09ab60e46ad251fe216c7958ac81eec34d21ed27 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Mon, 27 Mar 2017 20:29:21 +0000 Subject: Adding answers to Marc's comments. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@2258 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 4ad10b1ec977bb1fcfdab43c4d9ee9ed6ef120f5 --- src/Gudhi_stat/example/persistence_intervals.cpp | 4 +- .../Persistence_intervals.h | 3 +- .../Persistence_landscape.h | 36 +++++------ .../include/gudhi/read_persitence_from_file.h | 71 +++++++++++----------- src/Gudhi_stat/test/persistence_intervals_test.cpp | 6 +- 5 files changed, 60 insertions(+), 60 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/persistence_intervals.cpp b/src/Gudhi_stat/example/persistence_intervals.cpp index 04c758e6..60d5a811 100644 --- a/src/Gudhi_stat/example/persistence_intervals.cpp +++ b/src/Gudhi_stat/example/persistence_intervals.cpp @@ -60,7 +60,7 @@ int main( int argc , char** argv ) std::cout << "( " << ten_dominant_intervals[i].first<< "," << ten_dominant_intervals[i].second < histogram = p.histograms_of_lengths( 10 ); + std::vector< size_t > histogram = p.histogram_of_lengths( 10 ); std::cout << "Here is the histogram of barcode's length : " < cumulative_histogram = p.cumulative_histograms_of_lengths( 10 ); + std::vector< size_t > cumulative_histogram = p.cumulative_histogram_of_lengths( 10 ); std::cout<< "Cumuative histogram : " < >& intervals_ ) +Persistence_intervals::Persistence_intervals( const std::vector< std::pair< double , double > >& intervals_ ):intervals(intervals_) { - this->intervals = intervals_; this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); } diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape.h index c71eb3d2..ef487cbe 100644 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape.h +++ b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape.h @@ -57,6 +57,8 @@ namespace Gudhi_stat * For details of algorithms, please consult ''A persistence landscapes toolbox for topological statistics'' by Peter Bubenik and Pawel Dlotko. * Persistence landscapes allow vertorization, computations of distances, computations of projections to Real, computations of averages and scalar products. Therefore they implement suitable interfaces. * It implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product + * Note that at the moment, due to roundoff errors during the construction of persistence landscapes, elements which are different by 0.000005 are considered the same. If the scale in your persistence diagrams + * is comparable to this value, please rescale them before use this code. **/ class Persistence_landscape { @@ -466,23 +468,23 @@ public: //end of implementation of functions needed for concepts. - /** - * This procedure returns x-range of a given level persistence landscape. If a default value is used, the x-range - * of 0th level landscape is given (and this range contains the ranges of all other landscapes). - **/ - std::pair< double , double > get_x_range( size_t level = 0 )const - { - std::pair< double , double > result; - if ( level < this->land.size() ) - { - result = std::make_pair( this->land[level][1].first , this->land[level][ this->land[level].size() - 2 ].first ); - } - else - { - result = std::make_pair( 0,0 ); - } - return result; - } + // + // This procedure returns x-range of a given level persistence landscape. If a default value is used, the x-range + //of 0th level landscape is given (and this range contains the ranges of all other landscapes). + // + //std::pair< double , double > get_x_range( size_t level = 0 )const + //{ + // std::pair< double , double > result; + // if ( level < this->land.size() ) + // { + // result = std::make_pair( this->land[level][1].first , this->land[level][ this->land[level].size() - 2 ].first ); + // } + // else + // { + // result = std::make_pair( 0,0 ); + // } + // return result; + //} /** * This procedure returns y-range of a given level persistence landscape. If a default value is used, the y-range diff --git a/src/Gudhi_stat/include/gudhi/read_persitence_from_file.h b/src/Gudhi_stat/include/gudhi/read_persitence_from_file.h index e16c1f20..c2fb7875 100644 --- a/src/Gudhi_stat/include/gudhi/read_persitence_from_file.h +++ b/src/Gudhi_stat/include/gudhi/read_persitence_from_file.h @@ -42,7 +42,7 @@ namespace Gudhi_stat * This procedure reads birth-death dagta from a file. We assume that in the file, there may be one type of string 'inf' or 'Inf'. If the second parameter of the program is set to -1, * then those vales are ignored. If the second parameter of this program is set to a positive value, then the infinite intervals will be substituted by that number. **/ -std::vector< std::pair< double,double > > read_file_names_that_may_contain_inf_string( char* filename , double what_to_substitute_for_infinite_bar = -1 ) +std::vector< std::pair< double,double > > read_file_that_may_contain_inf_string( char* filename , double what_to_substitute_for_infinite_bar = -1 ) { bool dbg = true; @@ -63,8 +63,7 @@ std::vector< std::pair< double,double > > read_file_names_that_may_contain_inf_s getline(in,line); if ( !(line.length() == 0 || line[0] == '#') ) { - std::stringstream lineSS; - lineSS << line; + std::stringstream lineSS(line); double beginn, endd; if ( (line.find("inf") != std::string::npos) || (line.find("Inf") != std::string::npos) ) { @@ -171,8 +170,7 @@ std::vector< std::pair< double , double > > read_standard_file( const char* file getline(in,line); if ( !(line.length() == 0 || line[0] == '#') ) { - std::stringstream lineSS; - lineSS << line; + std::stringstream lineSS(line); double beginn, endd; lineSS >> beginn; lineSS >> endd; @@ -204,21 +202,23 @@ std::vector< std::pair< double , double > > read_standard_file( const char* file * A birth and a death time of a class. * Death time may be infitnity, in which case a string 'inf' is used. * If begin of the interval is greater than the end of the interval, those two numbers are swapped. + * Note that this procedure reads persistence in a single dimension. The dimension of intervals that + * are to be read are determined by the second parameter of the function. **/ std::vector< std::pair< double , double > > read_gudhi_file( const char* filename , size_t dimension = 0 ) { bool dbg = false; std::ifstream in; - in.open( filename ); + in.open( filename ); - std::string line; - std::vector< std::pair > barcode; + std::string line; + std::vector< std::pair > barcode; - while (!in.eof()) - { - getline(in,line); - if ( !(line.length() == 0 || line[0] == '#') ) - { + while (!in.eof()) + { + getline(in,line); + if ( !(line.length() == 0 || line[0] == '#') ) + { if ( line.find("inf") != std::string::npos ) { if ( dbg ) @@ -227,28 +227,27 @@ std::vector< std::pair< double , double > > read_gudhi_file( const char* filenam } continue; } - std::stringstream lineSS; - lineSS << line; - double beginn, endd, field, dim; - lineSS >> field; - lineSS >> dim; - lineSS >> beginn; - lineSS >> endd; - if ( beginn > endd ) - { - double b = beginn; - beginn = endd; - endd = b; - } - if ( dim == dimension ) - { + std::stringstream lineSS(line); + double beginn, endd, field, dim; + lineSS >> field; + lineSS >> dim; + lineSS >> beginn; + lineSS >> endd; + if ( beginn > endd ) + { + double b = beginn; + beginn = endd; + endd = b; + } + if ( dim == dimension ) + { barcode.push_back( std::make_pair( beginn , endd ) ); if (dbg) { std::cerr << beginn << " , " << endd << std::endl; } } - } + } } in.close(); return barcode; @@ -263,20 +262,19 @@ std::vector< std::vector< double > > read_numbers_from_file_line_by_line( const std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; } - + std::vector< std::vector< double > > result; double number; - + std::ifstream in(filename); std::string line; while ( in.good() ) { std::getline(in,line); - std::stringstream ss; - ss << line; - + std::stringstream ss(line); + if ( dbg )std::cerr << "\n Reading line : " << line << std::endl; - + std::vector< double > this_line; while ( ss.good() ) { @@ -287,7 +285,7 @@ std::vector< std::vector< double > > read_numbers_from_file_line_by_line( const if ( this_line.size() && in.good() ) result.push_back( this_line ); } in.close(); - + return result; }//read_numbers_from_file_line_by_line @@ -298,3 +296,4 @@ std::vector< std::vector< double > > read_numbers_from_file_line_by_line( const #endif + diff --git a/src/Gudhi_stat/test/persistence_intervals_test.cpp b/src/Gudhi_stat/test/persistence_intervals_test.cpp index d46d009b..6dec1bb7 100644 --- a/src/Gudhi_stat/test/persistence_intervals_test.cpp +++ b/src/Gudhi_stat/test/persistence_intervals_test.cpp @@ -103,10 +103,10 @@ BOOST_AUTO_TEST_CASE(check_dominant_intervals) } } -BOOST_AUTO_TEST_CASE(check_histograms_of_lengths) +BOOST_AUTO_TEST_CASE(check_histogram_of_lengths) { Persistence_intervals p( "data/file_with_diagram" ); - std::vector< size_t > histogram = p.histograms_of_lengths( 10 ); + 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); @@ -128,7 +128,7 @@ BOOST_AUTO_TEST_CASE(check_histograms_of_lengths) BOOST_AUTO_TEST_CASE(check_cumulative_histograms_of_lengths) { Persistence_intervals p( "data/file_with_diagram" ); - std::vector< size_t > cumulative_histogram = p.cumulative_histograms_of_lengths( 10 ); + 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); -- cgit v1.2.3 From 8252d6eb78c9fe355a2167ad68e9106fcaa8fcdb Mon Sep 17 00:00:00 2001 From: pdlotko Date: Thu, 6 Apr 2017 15:36:53 +0000 Subject: Answering MG3 comments. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@2313 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 3bae7a55d05831af55a5b1c3e0d2695383af325f --- src/Gudhi_stat/example/vector_representation.cpp | 6 +- src/Gudhi_stat/include/gudhi/bootstrap.h | 3 + .../gudhi/persistence_representations/PSSK.h | 2 +- .../Persistence_heat_maps.h | 4 +- .../Persistence_intervals.h | 25 +++++-- .../Persistence_landscape.h | 4 +- .../Persistence_landscape_on_grid.h | 8 +-- .../Vector_distances_in_diagram.h | 14 ++-- .../gudhi/persistence_representations/coo_kernel.h | 79 ---------------------- .../include/gudhi/read_persitence_from_file.h | 41 +++++++---- src/Gudhi_stat/include/gudhi/topological_process.h | 2 +- src/Gudhi_stat/test/persistence_lanscapes_test.cpp | 26 +++---- src/Gudhi_stat/test/vector_representation_test.cpp | 36 +++++----- src/Gudhi_stat/utilities/Hausdorff_subsampling.cpp | 29 +++++++- .../utilities/Multiplicative_bootstrap.cpp | 2 +- src/Gudhi_stat/utilities/permutation_test.cpp | 4 +- .../plot_persistence_intervals.cpp | 2 +- .../average_persistence_vectors.cpp | 6 +- .../compute_distance_of_persistence_vectors.cpp | 4 +- ...mpute_scalar_product_of_persistence_vectors.cpp | 4 +- .../create_persistence_vectors.cpp | 4 +- .../plot_persistence_vectors.cpp | 2 +- src/common/include/gudhi/distance_functions.h | 7 +- 23 files changed, 151 insertions(+), 163 deletions(-) delete mode 100644 src/Gudhi_stat/include/gudhi/persistence_representations/coo_kernel.h (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/vector_representation.cpp b/src/Gudhi_stat/example/vector_representation.cpp index 476deeba..e1225726 100644 --- a/src/Gudhi_stat/example/vector_representation.cpp +++ b/src/Gudhi_stat/example/vector_representation.cpp @@ -55,15 +55,15 @@ int main( int argc , char** argv ) persistence2.push_back( std::make_pair(6,10) ); //create two persistence vectors based on persistence1 and persistence2: - Vector_distances_in_diagram > v1 = Vector_distances_in_diagram >( persistence1 , std::numeric_limits::max() ); - Vector_distances_in_diagram > v2 = Vector_distances_in_diagram >( persistence2 , std::numeric_limits::max() ); + Vector_distances_in_diagram v1 = Vector_distances_in_diagram( persistence1 , std::numeric_limits::max() ); + Vector_distances_in_diagram v2 = Vector_distances_in_diagram( persistence2 , std::numeric_limits::max() ); //writing to a stream: std::cout << "v1 : " << v1 << std::endl; std::cout << "v2 : " << v2 << std::endl; //averages: - Vector_distances_in_diagram > average; + Vector_distances_in_diagram average; average.compute_average( {&v1,&v2} ); std::cout << "Average : " << average << std::endl; diff --git a/src/Gudhi_stat/include/gudhi/bootstrap.h b/src/Gudhi_stat/include/gudhi/bootstrap.h index f88cc8e7..d2ab35d5 100644 --- a/src/Gudhi_stat/include/gudhi/bootstrap.h +++ b/src/Gudhi_stat/include/gudhi/bootstrap.h @@ -137,6 +137,9 @@ double bootstrap( size_t number_of_points , CharacteristicFunction f , DistanceB size_t position_of_quantile = floor(quantile*vector_of_distances.size()); if ( position_of_quantile ) --position_of_quantile; + + + if ( dbg ) { std::cerr << "quantile : " << quantile << std::endl; diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/PSSK.h b/src/Gudhi_stat/include/gudhi/persistence_representations/PSSK.h index 22513097..7a299a86 100644 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/PSSK.h +++ b/src/Gudhi_stat/include/gudhi/persistence_representations/PSSK.h @@ -56,7 +56,7 @@ public: PSSK( const char* filename , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ): Persistence_heat_maps() { - std::vector< std::pair< double , double > > intervals_ = read_standard_file( filename ); + std::vector< std::pair< double , double > > intervals_ = read_standard_persistence_file( filename ); this->construct( intervals_ , filter , number_of_pixels , min_ , max_ ); } diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_heat_maps.h index dd95fbec..d12f37fa 100644 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_heat_maps.h +++ b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_heat_maps.h @@ -206,7 +206,7 @@ public: **/ /** * Construction that takes at the input the following parameters: - * (1) A a name of a file with persistence intervals. The file shold be readable by the function read_standard_file. All other parameters are optional. They are: + * (1) A a name of a file with persistence intervals. The file shold be readable by the function read_standard_persistence_file. All other parameters are optional. They are: * (2) a Gausian filter generated by create_Gaussian_filter filter (the default value of this vaiable is a Gaussian filter of a radius 5), * (3) a boolean value which determines if the area of image below diagonal should, or should not be erased (it will be erased by default). * (4) a number of pixels in each direction (set to 1000 by default). @@ -676,7 +676,7 @@ Persistence_heat_maps::Persistence_heat_maps( const char* f std::vector< std::vector > filter, bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) { - std::vector< std::pair< double , double > > intervals_ = read_standard_file( filename ); + std::vector< std::pair< double , double > > intervals_ = read_standard_persistence_file( filename ); this->construct( intervals_ , filter, erase_below_diagonal , number_of_pixels , min_ , max_ ); this->set_up_parameters_for_basic_classes(); } diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals.h index 0ecc0b63..43135b41 100644 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals.h +++ b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals.h @@ -25,6 +25,8 @@ //gudhi include #include +//Bottleneck distance: +//#include //standard include #include @@ -247,14 +249,25 @@ public: /** *Computations of distance from the current persistnce diagram to the persistence diagram given as a parameter of this function. - *The last parameter, power, is here in case we would like to compute p=th Wasserstein distance. At the moment, for the bottleneck distances, it will be ignored. + *The last parameter, power, is here in case we would like to compute p=th Wasserstein distance. At the moment, this method only implement Bottleneck distance, + * which is infinity Wasserstein distance. Therefore any power which is not the default std::numeric_limits< double >::max() will be ignored and an + * exception will be thrown. **/ - double distance( const Persistence_intervals& second , double power = 1) const + double distance( const Persistence_intervals& second , double power = std::numeric_limits< double >::max() , double tolerance = 0.00000001 ) const { - return 1; - //waiting for Francois Godi for the code. We will compute here the Bottleneck distnace. + if ( power == std::numeric_limits< double >::max() ) + { + //return Gudhi::persistence_diagram::bottleneck_distance(this->intervals, second.intervals, tolerance); + return 1; + } + else + { + std::cerr << "At the moment Gudhi do not support Wasserstein distances. We only support Bottleneck distance." << std::endl; + throw "At the moment Gudhi do not support Wasserstein distances. We only support Bottleneck distance."; + } } //end of implementation of functions needed for concepts. + //end of implementation of functions needed for concepts. @@ -323,9 +336,9 @@ Persistence_intervals::Persistence_intervals( const char* filename ) //} //in.close(); //standard file with barcode - this->intervals = read_standard_file( filename ); + this->intervals = read_standard_persistence_file( filename ); //gudhi file with barcode - //this->intervals = read_gudhi_file( filename , dimension ); + //this->intervals = read_gudhi_persistence_file_in_one_dimension( filename , dimension ); this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); }//Persistence_intervals diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape.h index ef487cbe..a0f8cbd2 100644 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape.h +++ b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape.h @@ -549,9 +549,9 @@ Persistence_landscape::Persistence_landscape(const char* filename , size_t dimen std::cerr << "Using constructor : Persistence_landscape(char* filename)" << std::endl; } //standard file with barcode - //std::vector< std::pair< double , double > > barcode = read_standard_file( filename ); + //std::vector< std::pair< double , double > > barcode = read_standard_persistence_file( filename ); //gudhi file with barcode - std::vector< std::pair< double , double > > barcode = read_gudhi_file( filename , dimension ); + std::vector< std::pair< double , double > > barcode = read_gudhi_persistence_file_in_one_dimension( filename , dimension ); this->construct_persistence_landscape_from_barcode( barcode ); this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); } diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape_on_grid.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape_on_grid.h index d29a51ab..07e80447 100644 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape_on_grid.h +++ b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape_on_grid.h @@ -1115,9 +1115,9 @@ Persistence_landscape_on_grid::Persistence_landscape_on_grid( const std::vector< Persistence_landscape_on_grid::Persistence_landscape_on_grid(const char* filename , double grid_min_, double grid_max_ , size_t number_of_points_ , size_t dimension ) { //standard file with barcode - std::vector< std::pair< double , double > > p = read_standard_file( filename ); + std::vector< std::pair< double , double > > p = read_standard_persistence_file( filename ); //gudhi file with barcode - //std::vector< std::pair< double , double > > p = read_gudhi_file( filename , dimension ); + //std::vector< std::pair< double , double > > p = read_gudhi_persistence_file_in_one_dimension( filename , dimension ); this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ ); } @@ -1125,9 +1125,9 @@ Persistence_landscape_on_grid::Persistence_landscape_on_grid(const char* filenam Persistence_landscape_on_grid::Persistence_landscape_on_grid(const char* filename , size_t number_of_points_ ) { //standard file with barcode - std::vector< std::pair< double , double > > p = read_standard_file( filename ); + std::vector< std::pair< double , double > > p = read_standard_persistence_file( filename ); //gudhi file with barcode - //std::vector< std::pair< double , double > > p = read_gudhi_file( filename , dimension ); + //std::vector< std::pair< double , double > > p = read_gudhi_persistence_file_in_one_dimension( filename , dimension ); double grid_min_ = std::numeric_limits::max(); double grid_max_ = -std::numeric_limits::max(); diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Vector_distances_in_diagram.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Vector_distances_in_diagram.h index 7021e262..0e512bd3 100644 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Vector_distances_in_diagram.h +++ b/src/Gudhi_stat/include/gudhi/persistence_representations/Vector_distances_in_diagram.h @@ -33,6 +33,7 @@ //gudhi include #include #include +#include namespace Gudhi @@ -40,7 +41,7 @@ namespace Gudhi namespace Gudhi_stat { - +/* template struct Euclidean_distance { @@ -64,13 +65,14 @@ struct Euclidean_distance return sqrt( result ); } }; +* */ template struct Maximum_distance { double operator() ( const std::pair< T,T >& f , const std::pair& s ) { - return std::min( fabs( f.first - s.first ) , fabs( f.second - s.second ) ); + return std::max( fabs( f.first - s.first ) , fabs( f.second - s.second ) ); } }; @@ -78,7 +80,9 @@ struct Maximum_distance /** -* This is an implementation of idea presented in the paper by Steve, Matthew and Max. The parameter of the class is the class that computes distance used to construct the vectors. The typical function is +* This is an implementation of idea presented in the paper 'Stable Topological Signatures for Points on 3D Shapes' by +* M. Carriere, S. Y. Oudot and M. Ovsjanikov published in Computer Graphics Forum (proc. SGP 2015). +* The parameter of the class is the class that computes distance used to construct the vectors. The typical function is * either Eucludean of maximum (Manhattan) distance. * This class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product * @@ -434,9 +438,9 @@ template Vector_distances_in_diagram::Vector_distances_in_diagram( const char* filename , size_t where_to_cut ):where_to_cut(where_to_cut) { //standard file with barcode - std::vector< std::pair< double , double > > intervals = read_standard_file( filename ); + std::vector< std::pair< double , double > > intervals = read_standard_persistence_file( filename ); //gudhi file with barcode - //std::vector< std::pair< double , double > > intervals = read_gudhi_file( filename , dimension ); + //std::vector< std::pair< double , double > > intervals = read_gudhi_persistence_file( filename , dimension ); this->intervals = intervals; this->compute_sorted_vector_of_distances_via_heap( where_to_cut ); diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/coo_kernel.h b/src/Gudhi_stat/include/gudhi/persistence_representations/coo_kernel.h deleted file mode 100644 index 02c9527a..00000000 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/coo_kernel.h +++ /dev/null @@ -1,79 +0,0 @@ -//this is an implementation of a kernel by Mathieu Carrière, -//Steve Y. Oudot, and Maksim Ovsjanikov presended in Stable Topological -//Signatures for Points on 3D Shapes. Proc. Sympos. on Geometry Processing, 2015 - -#pragma once -#include -#include - -#include "persistence_intervals.h" -#include "kernel.h" -#include "Distances_of_points_in_diagram.h" - -template -class coo_kernel : public Persistence_kernel -{ -public: - //Distances_of_points_in_diagram( std::vector< std::pair< T , T > > intervals , F f , size_t where_to_cut ); - //Distances_of_points_in_diagram( char* filename , F f , size_t where_to_cut ); - - coo_kernel( std::vector< Persistence_intervals >& intervals , F f , size_t where_to_cut = 100 ); - coo_kernel( char* filename , F f , size_t where_to_cut = 100 ); - - //i tutaj pojawia sie problem, bo reprezentacja jest liczona wielokrotnie, strata czasu. - double compute_scalar_product( size_t number_of_first_barcode , size_t number_of_second_barcode ); -private: - //in this case, we will construct the representation of diagrams in the vector space. That is why, we store here some more stuff compared to - //the Persistence_kernel class. - std::vector< Distances_of_points_in_diagram > representation; - void constuct_representation( std::vector< Persistence_intervals >& intervals , F f , size_t where_to_cut); -}; - -template -coo_kernel::coo_kernel( std::vector< Persistence_intervals >& intervals , F f , size_t where_to_cut ):Persistence_kernel(intervals) -{ - this->constuct_representation(intervals, f , where_to_cut); -} - -template -coo_kernel::coo_kernel( char* filename , F f , size_t where_to_cut ) -{ - cerr << "Constuct representation \n"; - std::vector< Persistence_intervals > intervals; - std::vector names = readFileNames( filename ); - for ( size_t file_no = 0 ; file_no != names.size() ; ++file_no ) - { - cout << "Reading file : " << names[file_no] << endl; - Persistence_intervals interval( (char*)names[file_no].c_str() ); - intervals.push_back( interval ); - } - this->constuct_representation(intervals, f , where_to_cut); -} - -template -void coo_kernel::constuct_representation( std::vector< Persistence_intervals >& intervals , F f , size_t where_to_cut) -{ - std::vector< Distances_of_points_in_diagram > representation( intervals.size() ); - this->representation = representation; - #pragma omp parallel for - for ( size_t i = 0 ; i < intervals.size() ; ++i ) - { - this->representation[i] = Distances_of_points_in_diagram( intervals[i].intervals , f , where_to_cut ); - - } - this->number_of_intervals = intervals.size(); -} - -template -double coo_kernel::compute_scalar_product( size_t number_of_first_barcode , size_t number_of_second_barcode ) -{ - double result = 0; - size_t range = std::min( this->representation[number_of_first_barcode].size() , this->representation[number_of_second_barcode].size() ); - for ( size_t i = 0 ; i != range ; ++i ) - { - result += this->representation[number_of_first_barcode].vector_in_position(i)*this->representation[number_of_second_barcode].vector_in_position(i); - } - return result; -} - - diff --git a/src/Gudhi_stat/include/gudhi/read_persitence_from_file.h b/src/Gudhi_stat/include/gudhi/read_persitence_from_file.h index c2fb7875..38cdecd5 100644 --- a/src/Gudhi_stat/include/gudhi/read_persitence_from_file.h +++ b/src/Gudhi_stat/include/gudhi/read_persitence_from_file.h @@ -42,7 +42,7 @@ namespace Gudhi_stat * This procedure reads birth-death dagta from a file. We assume that in the file, there may be one type of string 'inf' or 'Inf'. If the second parameter of the program is set to -1, * then those vales are ignored. If the second parameter of this program is set to a positive value, then the infinite intervals will be substituted by that number. **/ -std::vector< std::pair< double,double > > read_file_that_may_contain_inf_string( char* filename , double what_to_substitute_for_infinite_bar = -1 ) +std::vector< std::pair< double,double > > read_persistence_file_that_may_contain_inf_string( char* filename , double what_to_substitute_for_infinite_bar = -1 ) { bool dbg = true; @@ -88,9 +88,7 @@ std::vector< std::pair< double,double > > read_file_that_may_contain_inf_string( } if ( beginn > endd ) { - double b = beginn; - beginn = endd; - endd = b; + std::swap(beginn,endd); } if ( dbg ) { @@ -150,7 +148,7 @@ std::vector< std::string > readFileNames( const char* filenameWithFilenames ) * like 'inf' are not allowed. * If begin of the interval is greater than the end of the interval, those two numbers are swapped. **/ -std::vector< std::pair< double , double > > read_standard_file( const char* filename ) +std::vector< std::pair< double , double > > read_standard_persistence_file( const char* filename ) { bool dbg = false; @@ -177,9 +175,7 @@ std::vector< std::pair< double , double > > read_standard_file( const char* file if ( beginn == endd )continue; if ( beginn > endd ) { - double b = beginn; - beginn = endd; - endd = b; + std::swap(beginn,endd); } barcode.push_back( std::make_pair( beginn , endd ) ); if (dbg) @@ -205,7 +201,7 @@ std::vector< std::pair< double , double > > read_standard_file( const char* file * Note that this procedure reads persistence in a single dimension. The dimension of intervals that * are to be read are determined by the second parameter of the function. **/ -std::vector< std::pair< double , double > > read_gudhi_file( const char* filename , size_t dimension = 0 ) +std::vector< std::pair< double , double > > read_gudhi_persistence_file_in_one_dimension( const char* filename , size_t dimension = 0 , double what_to_substitute_for_infinite_bar = -1) { bool dbg = false; std::ifstream in; @@ -225,6 +221,29 @@ std::vector< std::pair< double , double > > read_gudhi_file( const char* filenam { std::cerr << "This line: " << line << " contains infinite interval. We will skip it. \n"; } + if ( what_to_substitute_for_infinite_bar != -1 ) + { + double beginn, field, dim; + std::stringstream lineSS(line); + lineSS >> field; + lineSS >> dim; + lineSS >> beginn; + if ( dim == dimension ) + { + if ( beginn > what_to_substitute_for_infinite_bar ) + { + barcode.push_back( std::make_pair( what_to_substitute_for_infinite_bar , beginn ) ); + } + else + { + barcode.push_back( std::make_pair( beginn , what_to_substitute_for_infinite_bar ) ); + } + if (dbg) + { + std::cerr << beginn << " , " << what_to_substitute_for_infinite_bar << std::endl; + } + } + } continue; } std::stringstream lineSS(line); @@ -235,9 +254,7 @@ std::vector< std::pair< double , double > > read_gudhi_file( const char* filenam lineSS >> endd; if ( beginn > endd ) { - double b = beginn; - beginn = endd; - endd = b; + std::swap(beginn,endd); } if ( dim == dimension ) { diff --git a/src/Gudhi_stat/include/gudhi/topological_process.h b/src/Gudhi_stat/include/gudhi/topological_process.h index 4a41c0a7..17bea5ab 100644 --- a/src/Gudhi_stat/include/gudhi/topological_process.h +++ b/src/Gudhi_stat/include/gudhi/topological_process.h @@ -62,7 +62,7 @@ std::vector< std::vector< std::pair< double , double > > > read_persistence_pair for ( size_t i = 0 ; i != files.size() ; ++i ) { - std::vector< std::pair< double , double > > diag = read_standard_file( files[i].c_str() ); + std::vector< std::pair< double , double > > diag = read_standard_persistence_file( files[i].c_str() ); result.push_back( diag ); if ( dbg ) { diff --git a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp index 957ddbfb..266be4de 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp @@ -43,7 +43,7 @@ double epsilon = 0.0000005; BOOST_AUTO_TEST_CASE(check_construction_of_landscape) { - std::vector< std::pair< double , double > > diag = read_standard_file( "data/file_with_diagram" ); + std::vector< std::pair< double , double > > diag = read_standard_persistence_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" ); @@ -53,7 +53,7 @@ BOOST_AUTO_TEST_CASE(check_construction_of_landscape) BOOST_AUTO_TEST_CASE(check_computations_of_integrals) { - std::vector< std::pair< double , double > > diag = read_standard_file( "data/file_with_diagram" ); + std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); double integral = p.compute_integral_of_landscape(); //cerr << integral << " " << 2.34992 << endl; @@ -63,7 +63,7 @@ BOOST_AUTO_TEST_CASE(check_computations_of_integrals) BOOST_AUTO_TEST_CASE(check_computations_of_integrals_for_each_level_separatelly) { - std::vector< std::pair< double , double > > diag = read_standard_file( "data/file_with_diagram" ); + std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); std::vector< double > integrals_fir_different_levels; @@ -107,7 +107,7 @@ BOOST_AUTO_TEST_CASE(check_computations_of_integrals_for_each_level_separatelly) BOOST_AUTO_TEST_CASE(check_computations_of_integrals_of_powers_of_landscape) { - std::vector< std::pair< double , double > > diag = read_standard_file( "data/file_with_diagram" ); + std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); std::vector integrals_fir_different_powers; @@ -126,7 +126,7 @@ BOOST_AUTO_TEST_CASE(check_computations_of_integrals_of_powers_of_landscape) BOOST_AUTO_TEST_CASE(check_computations_of_values_on_different_points) { - std::vector< std::pair< double , double > > diag = read_standard_file( "data/file_with_diagram" ); + std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); @@ -147,7 +147,7 @@ BOOST_AUTO_TEST_CASE(check_computations_of_values_on_different_points) BOOST_AUTO_TEST_CASE(check_computations_sum_differences_and_multiplications) { - std::vector< std::pair< double , double > > diag = read_standard_file( "data/file_with_diagram" ); + std::vector< std::pair< double , double > > diag = read_standard_persistence_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" ); @@ -175,7 +175,7 @@ BOOST_AUTO_TEST_CASE(check_computations_sum_differences_and_multiplications) BOOST_AUTO_TEST_CASE(check_computations_of_maxima_and_norms) { - std::vector< std::pair< double , double > > diag = read_standard_file( "data/file_with_diagram" ); + std::vector< std::pair< double , double > > diag = read_standard_persistence_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" ); @@ -192,9 +192,9 @@ BOOST_AUTO_TEST_CASE(check_computations_of_maxima_and_norms) BOOST_AUTO_TEST_CASE(check_computations_of_averages) { - std::vector< std::pair< double , double > > diag = read_standard_file( "data/file_with_diagram" ); + std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); - std::vector< std::pair< double , double > > diag2 = read_standard_file( "data/file_with_diagram_1" ); + std::vector< std::pair< double , double > > diag2 = read_standard_persistence_file( "data/file_with_diagram_1" ); Persistence_landscape q( diag2 ); Persistence_landscape av; av.compute_average( {&p,&q} ); @@ -209,9 +209,9 @@ BOOST_AUTO_TEST_CASE(check_computations_of_averages) BOOST_AUTO_TEST_CASE(check_computations_of_distances) { - std::vector< std::pair< double , double > > diag = read_standard_file( "data/file_with_diagram" ); + std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); - std::vector< std::pair< double , double > > diag2 = read_standard_file( "data/file_with_diagram_1" ); + std::vector< std::pair< double , double > > diag2 = read_standard_persistence_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 ); @@ -221,9 +221,9 @@ BOOST_AUTO_TEST_CASE(check_computations_of_distances) BOOST_AUTO_TEST_CASE(check_computations_of_scalar_product) { - std::vector< std::pair< double , double > > diag = read_standard_file( "data/file_with_diagram" ); + std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); - std::vector< std::pair< double , double > > diag2 = read_standard_file( "data/file_with_diagram_1" ); + std::vector< std::pair< double , double > > diag2 = read_standard_persistence_file( "data/file_with_diagram_1" ); Persistence_landscape q( diag2 ); BOOST_CHECK( fabs( p.compute_scalar_product( q ) - 0.754498 ) <= 0.00001 ); } diff --git a/src/Gudhi_stat/test/vector_representation_test.cpp b/src/Gudhi_stat/test/vector_representation_test.cpp index f69673dd..fd512a8c 100644 --- a/src/Gudhi_stat/test/vector_representation_test.cpp +++ b/src/Gudhi_stat/test/vector_representation_test.cpp @@ -50,10 +50,10 @@ BOOST_AUTO_TEST_CASE(check_read_write_to_files) 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 ); + 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; + Vector_distances_in_diagram< Euclidean_distance > q; q.load_from_file( "test_vector_representation_write_read" ); BOOST_CHECK( p == q ); @@ -63,7 +63,7 @@ BOOST_AUTO_TEST_CASE(check_read_write_to_files) BOOST_AUTO_TEST_CASE(check_sortev_vector_distances_template) { - Vector_distances_in_diagram< Euclidean_distance > p( "data/file_with_diagram" , 100 ); + 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 ); @@ -183,7 +183,7 @@ BOOST_AUTO_TEST_CASE(check_sortev_vector_distances_template) BOOST_AUTO_TEST_CASE(check_projections_to_R) { - Vector_distances_in_diagram< Euclidean_distance > p( "data/file_with_diagram" , 100 ); + 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 ); @@ -299,8 +299,8 @@ BOOST_AUTO_TEST_CASE(check_projections_to_R) 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 ); + 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 ); @@ -312,7 +312,7 @@ BOOST_AUTO_TEST_CASE(check_distance_computations) 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 ); + 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 ) ); } @@ -321,7 +321,7 @@ BOOST_AUTO_TEST_CASE(check_distance_computations) BOOST_AUTO_TEST_CASE(check_compute_average) { - Vector_distances_in_diagram< Euclidean_distance > p( "data/file_with_diagram" , 100 ); + 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 ); @@ -333,13 +333,13 @@ BOOST_AUTO_TEST_CASE(check_compute_average) 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 > A( i1 , -1 ); + Vector_distances_in_diagram< Euclidean_distance > B( i1 , -1 ); - Vector_distances_in_diagram< Euclidean_distance > average; + Vector_distances_in_diagram< Euclidean_distance > average; average.compute_average( {&A,&B} ); - Vector_distances_in_diagram< Euclidean_distance > template_average; + Vector_distances_in_diagram< Euclidean_distance > template_average; template_average.load_from_file( "data/average_of_persistence_vectors" ); BOOST_CHECK( template_average == average ); @@ -360,11 +360,11 @@ BOOST_AUTO_TEST_CASE(check_arythmetic_operations) 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 > 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; + 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) ); @@ -380,7 +380,7 @@ BOOST_AUTO_TEST_CASE(check_arythmetic_operations) 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; + 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) ); @@ -388,7 +388,7 @@ BOOST_AUTO_TEST_CASE(check_arythmetic_operations) 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; + 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) ); diff --git a/src/Gudhi_stat/utilities/Hausdorff_subsampling.cpp b/src/Gudhi_stat/utilities/Hausdorff_subsampling.cpp index 5c3be0cc..b05a7adb 100644 --- a/src/Gudhi_stat/utilities/Hausdorff_subsampling.cpp +++ b/src/Gudhi_stat/utilities/Hausdorff_subsampling.cpp @@ -73,17 +73,42 @@ int main( int argc , char** argv ) points.push_back( point4 ); size_of_subsample = 2; */ -// std::vector< std::vector > all_to_all_distance_matrix_between_points = compute_all_to_all_distance_matrix_between_points< std::vector , Euclidean_distance >( points ); +// std::vector< std::vector > all_to_all_distance_matrix_between_points = compute_all_to_all_distance_matrix_between_points< std::vector , Euclidean_distance >( points ); // Hausdorff_distance_between_subspace_and_the_whole_metric_space distance( all_to_all_distance_matrix_between_points ); std::cout << "Read : " << points.size() << " points.\n"; //comute all-to-all distance matrix: - std::vector< std::vector > all_to_all_distance_matrix_between_points = compute_all_to_all_distance_matrix_between_points< std::vector , Euclidean_distance >( points ); + std::vector< std::vector > all_to_all_distance_matrix_between_points = compute_all_to_all_distance_matrix_between_points< std::vector , Euclidean_distance >( points ); Hausdorff_distance_between_subspace_and_the_whole_metric_space distance( all_to_all_distance_matrix_between_points ); identity< std::vector > identity_char; + + double max = -1; + for ( size_t i = 0 ; i != all_to_all_distance_matrix_between_points.size() ; ++i ) + { + double min = 10000000; + for ( size_t j = 0 ; j != all_to_all_distance_matrix_between_points.size() ; ++j ) + { + double distance = 0; + if ( i > j ) + { + distance = all_to_all_distance_matrix_between_points[i][j]; + } + else + { + if ( i < j )distance = all_to_all_distance_matrix_between_points[j][i]; + } + if ( (distance < min)&&(distance != 0) )min = distance; + } + std::cerr << "min : " << min << std::endl; + //getchar(); + if ( min > max )max = min; + } + std::cerr << "Max element in distance matrix : " << max << std::endl; + getchar(); + // std::vector characteristic_of_all_points = {0,1,2,3}; // std::vector characteristic_of_subsampled_points = {2,3}; // std::cerr << "DISTANCE BETWEEN SAMPLE AND SUBSAMPLE: " << distance( characteristic_of_subsampled_points , characteristic_of_all_points ) << std::endl; diff --git a/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp b/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp index 9a607251..33b6c9dc 100644 --- a/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp +++ b/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp @@ -51,7 +51,7 @@ int main( int argc , char** argv ) std::vector< Persistence_landscape* > collection_of_landscapes( filenames.size() ); for ( size_t i = 0 ; i != filenames.size() ; ++i ) { - std::vector< std::pair< double , double > > diag = read_gudhi_file( filenames[i].c_str() , 1 );//read_standard_file( filenames[i].c_str() ); + std::vector< std::pair< double , double > > diag = read_gudhi_persistence_file_in_one_dimension( filenames[i].c_str() , 1 );//read_standard_persistence_file( filenames[i].c_str() ); collection_of_landscapes[i] = new Persistence_landscape( diag ); } diff --git a/src/Gudhi_stat/utilities/permutation_test.cpp b/src/Gudhi_stat/utilities/permutation_test.cpp index 94f92d29..e431026f 100644 --- a/src/Gudhi_stat/utilities/permutation_test.cpp +++ b/src/Gudhi_stat/utilities/permutation_test.cpp @@ -62,7 +62,7 @@ int main( int argc , char** argv ) std::vector< Persistence_landscape* > first_collection( first_group.size() ); for ( size_t i = 0 ; i != first_group.size() ; ++i ) { - std::vector< std::pair< double , double > > diag = read_standard_file( first_group[i].c_str() ); + std::vector< std::pair< double , double > > diag = read_standard_persistence_file( first_group[i].c_str() ); Persistence_landscape* l = new Persistence_landscape( diag ); first_collection[i] = l; } @@ -70,7 +70,7 @@ int main( int argc , char** argv ) std::vector< Persistence_landscape* > second_collection( second_group.size() ); for ( size_t i = 0 ; i != second_group.size() ; ++i ) { - std::vector< std::pair< double , double > > diag = read_standard_file( second_group[i].c_str() ); + std::vector< std::pair< double , double > > diag = read_standard_persistence_file( second_group[i].c_str() ); Persistence_landscape* l = new Persistence_landscape( diag ); second_collection[i] = l; } diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp index 04a05caa..6df31a6f 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp @@ -44,7 +44,7 @@ int main( int argc , char** argv ) std::cout << "To run this program, please provide the name of a file with persistence diagram \n"; return 1; } - std::vector< std::pair< double , double > > intervals = read_gudhi_file( argv[1] , 2 ); + std::vector< std::pair< double , double > > intervals = read_gudhi_persistence_file_in_one_dimension( argv[1] , 2 ); Persistence_intervals b( intervals ); b.plot( argv[1] ); return 0; diff --git a/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp index 822d0e2a..b6b11211 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp @@ -49,15 +49,15 @@ int main( int argc , char** argv ) } std::cout << "Reading persistence vectors...\n"; - std::vector< Vector_distances_in_diagram< Euclidean_distance >* > lands; + std::vector< Vector_distances_in_diagram< Euclidean_distance >* > lands; for ( size_t i = 0 ; i != filenames.size() ; ++i ) { - Vector_distances_in_diagram< Euclidean_distance >* l = new Vector_distances_in_diagram< Euclidean_distance >; + Vector_distances_in_diagram< Euclidean_distance >* l = new Vector_distances_in_diagram< Euclidean_distance >; l->load_from_file( filenames[i] ); lands.push_back(l ); } - Vector_distances_in_diagram< Euclidean_distance > av; + Vector_distances_in_diagram< Euclidean_distance > av; av.compute_average( lands ); av.print_to_file( "average.vect" ); diff --git a/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp index 6d242cd1..d61c6753 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp @@ -56,12 +56,12 @@ int main( int argc , char** argv ) { filenames.push_back( argv[i] ); } - std::vector< Vector_distances_in_diagram< Euclidean_distance > > vectors; + std::vector< Vector_distances_in_diagram< Euclidean_distance > > vectors; vectors.reserve( filenames.size() ); for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) { //cerr << filenames[file_no] << endl; - Vector_distances_in_diagram< Euclidean_distance > l; + Vector_distances_in_diagram< Euclidean_distance > l; l.load_from_file( filenames[file_no] ); vectors.push_back( l ); } diff --git a/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp index e4c62194..7607c518 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp @@ -41,11 +41,11 @@ int main( int argc , char** argv ) { filenames.push_back( argv[i] ); } - std::vector< Vector_distances_in_diagram< Euclidean_distance > > vectors; + std::vector< Vector_distances_in_diagram< Euclidean_distance > > vectors; vectors.reserve( filenames.size() ); for ( size_t file_no = 0 ; file_no != filenames.size() ; ++file_no ) { - Vector_distances_in_diagram< Euclidean_distance > l; + Vector_distances_in_diagram< Euclidean_distance > l; l.load_from_file( filenames[file_no] ); vectors.push_back( l ); } diff --git a/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp index 926e46fd..b016f2e2 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp @@ -43,8 +43,8 @@ int main( int argc , char** argv ) for ( size_t i = 0 ; i != filenames.size() ; ++i ) { std::cerr << "Creatign persistence vectors based on a file : " << filenames[i] << std::endl; - //std::vector< std::pair< double , double > > persistence_pairs = read_gudhi_file( filenames[i] , size_t dimension = 0 ) - Vector_distances_in_diagram< Euclidean_distance > l( filenames[i] , -1 ); + //std::vector< std::pair< double , double > > persistence_pairs = read_gudhi_persistence_file_in_one_dimension( filenames[i] , size_t dimension = 0 ) + Vector_distances_in_diagram< Euclidean_distance > l( filenames[i] , -1 ); std::stringstream ss; ss << filenames[i] << ".vect"; l.print_to_file( ss.str().c_str() ); diff --git a/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp index 0ef30be8..4f19877c 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp @@ -39,7 +39,7 @@ int main( int argc , char** argv ) std::cout << "Wrong number of parameters, the program will now terminate. \n"; return 1; } - Vector_distances_in_diagram< Euclidean_distance > l; + Vector_distances_in_diagram< Euclidean_distance > l; l.load_from_file( argv[1] ); l.plot( argv[1] ); diff --git a/src/common/include/gudhi/distance_functions.h b/src/common/include/gudhi/distance_functions.h index 22747637..7f33a804 100644 --- a/src/common/include/gudhi/distance_functions.h +++ b/src/common/include/gudhi/distance_functions.h @@ -35,7 +35,7 @@ * have the same dimension. */ class Euclidean_distance { public: - template< typename Point > + template< typename Point > auto operator()(const Point& p1, const Point& p2) const -> typename std::decay::type { auto it1 = p1.begin(); auto it2 = p2.begin(); @@ -46,6 +46,11 @@ class Euclidean_distance { } return std::sqrt(dist); } + template< typename T > + T operator() ( const std::pair< T,T >& f , const std::pair< T,T >& s ) + { + return sqrt( (f.first-s.first)*(f.first-s.first) + (f.second-s.second)*(f.second-s.second) ); + } }; #endif // DISTANCE_FUNCTIONS_H_ -- cgit v1.2.3 From 85b1a1b1befa27b288ec410e1e308ed2277abf47 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Fri, 7 Apr 2017 10:45:13 +0000 Subject: Answers to Marc's comments. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@2319 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 51b36668541a99c43ad801a9449d7208135f83b7 --- src/Gudhi_stat/example/CMakeLists.txt | 4 +- src/Gudhi_stat/example/persistence_vectors.cpp | 80 +++ src/Gudhi_stat/example/vector_representation.cpp | 80 --- .../include/gudhi/multiplicative_bootstrap.h | 2 +- .../Persistence_landscape_on_grid.h | 6 +- .../Vector_distances_in_diagram.h | 771 --------------------- .../persistence_vectors.h | 771 +++++++++++++++++++++ .../include/gudhi/read_persitence_from_file.h | 154 +++- src/Gudhi_stat/test/vector_representation_test.cpp | 2 +- src/Gudhi_stat/utilities/Hausdorff_subsampling.cpp | 2 +- src/Gudhi_stat/utilities/Landscape_bootstrap.cpp | 2 +- .../utilities/Multiplicative_bootstrap.cpp | 2 +- .../average_persistence_vectors.cpp | 2 +- .../compute_distance_of_persistence_vectors.cpp | 2 +- ...mpute_scalar_product_of_persistence_vectors.cpp | 2 +- .../create_persistence_vectors.cpp | 2 +- .../plot_persistence_vectors.cpp | 2 +- 17 files changed, 1018 insertions(+), 868 deletions(-) create mode 100644 src/Gudhi_stat/example/persistence_vectors.cpp delete mode 100644 src/Gudhi_stat/example/vector_representation.cpp delete mode 100644 src/Gudhi_stat/include/gudhi/persistence_representations/Vector_distances_in_diagram.h create mode 100644 src/Gudhi_stat/include/gudhi/persistence_representations/persistence_vectors.h (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/CMakeLists.txt b/src/Gudhi_stat/example/CMakeLists.txt index 5ae6cd6a..61ea6d4f 100644 --- a/src/Gudhi_stat/example/CMakeLists.txt +++ b/src/Gudhi_stat/example/CMakeLists.txt @@ -10,8 +10,8 @@ target_link_libraries(persistence_landscape ${Boost_SYSTEM_LIBRARY}) add_executable ( persistence_intervals persistence_intervals.cpp ) target_link_libraries(persistence_intervals ${Boost_SYSTEM_LIBRARY}) -add_executable ( vector_representation vector_representation.cpp ) -target_link_libraries(vector_representation ${Boost_SYSTEM_LIBRARY}) +add_executable ( persistence_vectors persistence_vectors.cpp ) +target_link_libraries(persistence_vectors ${Boost_SYSTEM_LIBRARY}) add_executable ( persistence_heat_maps persistence_heat_maps.cpp ) target_link_libraries(persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) diff --git a/src/Gudhi_stat/example/persistence_vectors.cpp b/src/Gudhi_stat/example/persistence_vectors.cpp new file mode 100644 index 00000000..9373dcf0 --- /dev/null +++ b/src/Gudhi_stat/example/persistence_vectors.cpp @@ -0,0 +1,80 @@ +/* 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 +#include +#include +#include + +using namespace Gudhi; +using namespace Gudhi::Gudhi_stat; + + + + +int main( int argc , char** argv ) +{ + //create two simple vectors with birth--death pairs: + + std::vector< std::pair< double , double > > persistence1; + std::vector< std::pair< double , double > > persistence2; + + persistence1.push_back( std::make_pair(1,2) ); + persistence1.push_back( std::make_pair(6,8) ); + persistence1.push_back( std::make_pair(0,4) ); + persistence1.push_back( std::make_pair(3,8) ); + + persistence2.push_back( std::make_pair(2,9) ); + persistence2.push_back( std::make_pair(1,6) ); + persistence2.push_back( std::make_pair(3,5) ); + persistence2.push_back( std::make_pair(6,10) ); + + //create two persistence vectors based on persistence1 and persistence2: + Vector_distances_in_diagram v1 = Vector_distances_in_diagram( persistence1 , std::numeric_limits::max() ); + Vector_distances_in_diagram v2 = Vector_distances_in_diagram( persistence2 , std::numeric_limits::max() ); + + //writing to a stream: + std::cout << "v1 : " << v1 << std::endl; + std::cout << "v2 : " << v2 << std::endl; + + //averages: + Vector_distances_in_diagram average; + average.compute_average( {&v1,&v2} ); + std::cout << "Average : " << average << std::endl; + + //computations of distances: + std::cout << "l^1 distance : " << v1.distance( v2 ) << std::endl; + + //computations of scalar product: + std::cout << "Scalar product of l1 and l2 : " << v1.compute_scalar_product( v2 ) << std::endl; + + //create a file with a gnuplot script: + v1.plot( "plot_of_vector_representation" ); + + return 0; +} diff --git a/src/Gudhi_stat/example/vector_representation.cpp b/src/Gudhi_stat/example/vector_representation.cpp deleted file mode 100644 index e1225726..00000000 --- a/src/Gudhi_stat/example/vector_representation.cpp +++ /dev/null @@ -1,80 +0,0 @@ -/* 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 -#include -#include -#include - -using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; - - - - -int main( int argc , char** argv ) -{ - //create two simple vectors with birth--death pairs: - - std::vector< std::pair< double , double > > persistence1; - std::vector< std::pair< double , double > > persistence2; - - persistence1.push_back( std::make_pair(1,2) ); - persistence1.push_back( std::make_pair(6,8) ); - persistence1.push_back( std::make_pair(0,4) ); - persistence1.push_back( std::make_pair(3,8) ); - - persistence2.push_back( std::make_pair(2,9) ); - persistence2.push_back( std::make_pair(1,6) ); - persistence2.push_back( std::make_pair(3,5) ); - persistence2.push_back( std::make_pair(6,10) ); - - //create two persistence vectors based on persistence1 and persistence2: - Vector_distances_in_diagram v1 = Vector_distances_in_diagram( persistence1 , std::numeric_limits::max() ); - Vector_distances_in_diagram v2 = Vector_distances_in_diagram( persistence2 , std::numeric_limits::max() ); - - //writing to a stream: - std::cout << "v1 : " << v1 << std::endl; - std::cout << "v2 : " << v2 << std::endl; - - //averages: - Vector_distances_in_diagram average; - average.compute_average( {&v1,&v2} ); - std::cout << "Average : " << average << std::endl; - - //computations of distances: - std::cout << "l^1 distance : " << v1.distance( v2 ) << std::endl; - - //computations of scalar product: - std::cout << "Scalar product of l1 and l2 : " << v1.compute_scalar_product( v2 ) << std::endl; - - //create a file with a gnuplot script: - v1.plot( "plot_of_vector_representation" ); - - return 0; -} diff --git a/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h b/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h index c350349c..d6f39cd8 100644 --- a/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h +++ b/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h @@ -24,7 +24,7 @@ #define BOOTSTRAP_H //concretizations -#include +#include #include #include #include diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape_on_grid.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape_on_grid.h index b70ef1d9..51f432c6 100644 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape_on_grid.h +++ b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape_on_grid.h @@ -1,7 +1,7 @@ -/* This file is part of the Gudhi Library. The Gudhi library +/** This file is part of the Gudhi Library. The Gudhi library * (Geometric Understanding in Higher Dimensions) is a generic C++ * library for computational topology. - *h + * * Author(s): Pawel Dlotko * * Copyright (C) 2015 INRIA (France) @@ -18,7 +18,7 @@ * * You should have received a copy of the GNU General Public License * along with this program. If not, see . - */ + **/ #ifndef Persistence_landscape_on_grid_H_ #define Persistence_landscape_on_grid_H_ diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Vector_distances_in_diagram.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Vector_distances_in_diagram.h deleted file mode 100644 index 83402d0f..00000000 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Vector_distances_in_diagram.h +++ /dev/null @@ -1,771 +0,0 @@ -/* 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 . - */ - - -#ifndef Vector_distances_in_diagram_H -#define Vector_distances_in_diagram_H - -#include -#include -#include -#include -#include - -//gudhi include -#include -#include -#include - - -namespace Gudhi -{ -namespace Gudhi_stat -{ - -/* -template -struct Euclidean_distance -{ - double operator() ( const std::pair< T,T >& f , const std::pair& s ) - { - return sqrt( (f.first-s.first)*(f.first-s.first) + (f.second-s.second)*(f.second-s.second) ); - } - double operator() ( const std::vector< T >& f , const std::vector < T >& s ) - { - if ( f.size() != s.size() ) - { - std::cerr << "Not compatible points dimensions in the procedure to compute Euclidean distance. The program will now terminate. \n"; - std::cout << f.size() << " , " << s.size() << std::endl; - throw "Not compatible points dimensions in the procedure to compute Euclidean distance. The program will now terminate. \n"; - } - double result = 0; - for ( size_t i = 0 ; i != f.size() ; ++i ) - { - result += ( f[i]-s[i] )*( f[i]-s[i] ); - } - return sqrt( result ); - } -}; -* */ - -template -struct Maximum_distance -{ - double operator() ( const std::pair< T,T >& f , const std::pair& s ) - { - return std::max( fabs( f.first - s.first ) , fabs( f.second - s.second ) ); - } -}; - - - - -/** -* This is an implementation of idea presented in the paper 'Stable Topological Signatures for Points on 3D Shapes' by -* M. Carriere, S. Y. Oudot and M. Ovsjanikov published in Computer Graphics Forum (proc. SGP 2015). -* The parameter of the class is the class that computes distance used to construct the vectors. The typical function is -* either Eucludean of maximum (Manhattan) distance. -* This class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product -* -**/ - -template -class Vector_distances_in_diagram -{ -public: - /** - * The default constructor. - **/ - Vector_distances_in_diagram(){}; - - /** - * The constructor that takes as an input a multiset of persistence intervals (given as vector of birth-death pairs). The second parameter is the desiered length of the output vectors. - **/ - Vector_distances_in_diagram( const std::vector< std::pair< double , double > >& intervals , size_t where_to_cut ); - - /** - * The constructor taking as an input a file with birth-death pairs. The second parameter is the desiered length of the output vectors. - **/ - Vector_distances_in_diagram( const char* filename , size_t where_to_cut ); - - - /** - * Writing to a stream. - **/ - template - friend std::ostream& operator << ( std::ostream& out , const Vector_distances_in_diagram& d ) - { - for ( size_t i = 0 ; i != std::min( d.sorted_vector_of_distances.size() , d.where_to_cut) ; ++i ) - { - out << d.sorted_vector_of_distances[i] << " "; - } - return out; - } - - /** - * This procedure gives the value of a vector on a given position. - **/ - inline double vector_in_position( size_t position )const - { - if ( position >= this->sorted_vector_of_distances.size() )throw("Wrong position in accessing Vector_distances_in_diagram::sorted_vector_of_distances\n"); - return this->sorted_vector_of_distances[position]; - } - - /** - * Return a size of a vector. - **/ - inline size_t size()const{return this->sorted_vector_of_distances.size();} - - /** - * Write a vector to a file. - **/ - void write_to_file( const char* filename )const; - - /** - * Write a vector to a file. - **/ - void print_to_file( const char* filename )const - { - this->write_to_file( filename ); - } - - /** - * Loading a vector to a file. - **/ - void load_from_file( const char* filename ); - - /** - * Comparision operators: - **/ - bool operator == ( const Vector_distances_in_diagram& second )const - { - if ( this->sorted_vector_of_distances.size() != second.sorted_vector_of_distances.size() )return false; - for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) - { - if ( !almost_equal(this->sorted_vector_of_distances[i] , second.sorted_vector_of_distances[i]) )return false; - } - return true; - } - - bool operator != ( const Vector_distances_in_diagram& second )const - { - return !( *this == second ); - } - - - - - //Implementations of functions for various concepts. - /** - * Compute projection to real numbers of persistence vector. This function is required by the Real_valued_topological_data concept - **/ - double project_to_R( int number_of_function )const; - /** - * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. - **/ - size_t number_of_projections_to_R()const - { - return this->number_of_functions_for_projections_to_reals; - } - - /** - * Compute a vectorization of a persistent vectors. It is required in a concept Vectorized_topological_data. - **/ - std::vector vectorize( int number_of_function )const; - /** - * This function return the number of functions that allows vectorization of a persisence vector. It is required in a concept Vectorized_topological_data. - **/ - size_t number_of_vectorize_functions()const - { - return this->number_of_functions_for_vectorization; - } - - /** - * Compute a average of two persistent vectors. This function is required by Topological_data_with_averages concept. - **/ - void compute_average( const std::vector< Vector_distances_in_diagram* >& to_average ); - - /** - * Compute a distance of two persistent vectors. This function is required in Topological_data_with_distances concept. - * For max norm distance, set power to std::numeric_limits::max() - **/ - double distance( const Vector_distances_in_diagram& second , double power = 1)const; - - /** - * Compute a scalar product of two persistent vectors. This function is required in Topological_data_with_scalar_product concept. - **/ - double compute_scalar_product( const Vector_distances_in_diagram& second )const; - //end of implementation of functions needed for concepts. - - - - - - - - - - - - - - - - - - - /** - * For visualization use output from vectorize and build histograms. - **/ - std::vector< double > output_for_visualization()const - { - return this->sorted_vector_of_distances; - } - - - /** - * Create a gnuplot script to vizualize the data structure. - **/ - void plot( const char* filename )const - { - std::stringstream gnuplot_script; - gnuplot_script << filename << "_GnuplotScript"; - std::ofstream out; - out.open( gnuplot_script.str().c_str() ); - out << "set style data histogram" << std::endl; - out << "set style histogram cluster gap 1" << std::endl; - out << "set style fill solid border -1" << std::endl; - out << "plot '-' notitle" << std::endl; - for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) - { - out << this->sorted_vector_of_distances[i] << std::endl; - } - out < get_x_range()const - { - return std::make_pair( 0 , this->sorted_vector_of_distances.size() ); - } - - /** - * The y-range of the persistence vector. - **/ - std::pair< double , double > get_y_range()const - { - if ( this->sorted_vector_of_distances.size() == 0 )return std::make_pair(0,0); - return std::make_pair( this->sorted_vector_of_distances[0] , 0); - } - - //arythmetic operations: - template < typename Operation_type > - friend Vector_distances_in_diagram operation_on_pair_of_vectors( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second , Operation_type opertion ) - { - Vector_distances_in_diagram result; - //Operation_type operation; - result.sorted_vector_of_distances.reserve(std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ); - for ( size_t i = 0 ; i != std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) - { - result.sorted_vector_of_distances.push_back( opertion( first.sorted_vector_of_distances[i] , second.sorted_vector_of_distances[i]) ); - } - if ( first.sorted_vector_of_distances.size() == std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ) - { - for ( size_t i = std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; - i != std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) - { - result.sorted_vector_of_distances.push_back( opertion(0,second.sorted_vector_of_distances[i]) ); - } - } - else - { - for ( size_t i = std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; - i != std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) - { - result.sorted_vector_of_distances.push_back( opertion(first.sorted_vector_of_distances[i],0) ); - } - } - return result; - }//operation_on_pair_of_vectors - - /** - * This function implements an operation of multiplying Vector_distances_in_diagram by a scalar. - **/ - Vector_distances_in_diagram multiply_by_scalar( double scalar )const - { - Vector_distances_in_diagram result; - result.sorted_vector_of_distances.reserve( this->sorted_vector_of_distances.size() ); - for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) - { - result.sorted_vector_of_distances.push_back( scalar * this->sorted_vector_of_distances[i] ); - } - return result; - }//multiply_by_scalar - - - - /** - * This function computes a sum of two objects of a type Vector_distances_in_diagram. - **/ - friend Vector_distances_in_diagram operator+( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second ) - { - return operation_on_pair_of_vectors( first , second , std::plus() ); - } - /** - * This function computes a difference of two objects of a type Vector_distances_in_diagram. - **/ - friend Vector_distances_in_diagram operator-( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second ) - { - return operation_on_pair_of_vectors( first , second , std::minus() ); - } - /** - * This function computes a product of an object of a type Vector_distances_in_diagram with real number. - **/ - friend Vector_distances_in_diagram operator*( double scalar , const Vector_distances_in_diagram& A ) - { - return A.multiply_by_scalar( scalar ); - } - /** - * This function computes a product of an object of a type Vector_distances_in_diagram with real number. - **/ - friend Vector_distances_in_diagram operator*( const Vector_distances_in_diagram& A , double scalar ) - { - return A.multiply_by_scalar( scalar ); - } - /** - * This function computes a product of an object of a type Vector_distances_in_diagram with real number. - **/ - Vector_distances_in_diagram operator*( double scalar ) - { - return this->multiply_by_scalar( scalar ); - } - /** - * += operator for Vector_distances_in_diagram. - **/ - Vector_distances_in_diagram operator += ( const Vector_distances_in_diagram& rhs ) - { - *this = *this + rhs; - return *this; - } - /** - * -= operator for Vector_distances_in_diagram. - **/ - Vector_distances_in_diagram operator -= ( const Vector_distances_in_diagram& rhs ) - { - *this = *this - rhs; - return *this; - } - /** - * *= operator for Vector_distances_in_diagram. - **/ - Vector_distances_in_diagram operator *= ( double x ) - { - *this = *this*x; - return *this; - } - /** - * /= operator for Vector_distances_in_diagram. - **/ - Vector_distances_in_diagram operator /= ( double x ) - { - if ( x == 0 )throw( "In operator /=, division by 0. Program terminated." ); - *this = *this * (1/x); - return *this; - } - - -private: - std::vector< std::pair< double , double > > intervals; - std::vector< double > sorted_vector_of_distances; - size_t number_of_functions_for_vectorization; - size_t number_of_functions_for_projections_to_reals; - size_t where_to_cut; - - void compute_sorted_vector_of_distances_via_heap( size_t where_to_cut ); - void compute_sorted_vector_of_distances_via_vector_sorting( size_t where_to_cut ); - - Vector_distances_in_diagram( const std::vector< double >& sorted_vector_of_distances_ ):sorted_vector_of_distances(sorted_vector_of_distances_) - { - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); - } - - void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() - { - //warning, this function can be only called after filling in the intervals vector. - this->number_of_functions_for_vectorization = this->sorted_vector_of_distances.size(); - this->number_of_functions_for_projections_to_reals = this->sorted_vector_of_distances.size(); - } -}; - - -template -Vector_distances_in_diagram::Vector_distances_in_diagram( const std::vector< std::pair< double,double > >& intervals_ , size_t where_to_cut_ ):where_to_cut(where_to_cut_) -{ - std::vector< std::pair< double,double > > i( intervals_ ); - this->intervals = i; - //this->compute_sorted_vector_of_distances_via_heap( where_to_cut ); - this->compute_sorted_vector_of_distances_via_vector_sorting(where_to_cut); - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); -} - -template -Vector_distances_in_diagram::Vector_distances_in_diagram( const char* filename , size_t where_to_cut ):where_to_cut(where_to_cut) -{ - //standard file with barcode - std::vector< std::pair< double , double > > intervals = read_standard_persistence_file( filename ); - //gudhi file with barcode - //std::vector< std::pair< double , double > > intervals = read_gudhi_persistence_file( filename , dimension ); - - this->intervals = intervals; - this->compute_sorted_vector_of_distances_via_heap( where_to_cut ); - //this->compute_sorted_vector_of_distances_via_vector_sorting( where_to_cut ); - set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); -} - -template < typename F> -void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_heap( size_t where_to_cut ) -{ - - bool dbg = false; - if ( dbg ) - { - std::cerr << "Here are the intervals : \n"; - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - std::cerr << this->intervals[i].first << " , " << this->intervals[i].second <intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size())); - - std::vector< double > heap( where_to_cut , std::numeric_limits::max() ); - std::make_heap (heap.begin(),heap.end()); - F f; - - //for every pair of points in the diagram, compute the minimum of their distance, and distance of those points from diagonal - for ( size_t i = 0 ; i < this->intervals.size() ; ++i ) - { - for ( size_t j = i+1 ; j < this->intervals.size() ; ++j ) - { - double value = std::min( - f( this->intervals[i] , this->intervals[j] ), - std::min( - f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ), - f( this->intervals[j] , std::make_pair( 0.5*(this->intervals[j].first+this->intervals[j].second) , 0.5*(this->intervals[j].first+this->intervals[j].second) ) ) - ) - ); - - if ( dbg ) - { - std::cerr << "Value : " << value <intervals.size() ; ++i ) - { - double value = f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ); - if ( -value < heap.front() ) - { - //std::cerr << "Replacing : " << heap.front() << " with : " << -value <::max() ) - { - heap[i] = 0; - } - else - { - heap[i] *= -1; - } - } - - if ( dbg ) - { - std::cerr << "This is the heap after all the operations :\n"; - for ( size_t i = 0 ; i != heap.size() ; ++i ) - { - std::cout << heap[i] << " "; - } - std::cout <sorted_vector_of_distances = heap; -} - - - - -template < typename F> -void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_vector_sorting( size_t where_to_cut ) -{ - std::vector< double > distances; - distances.reserve( (size_t)(0.5 * this->intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size()) ); - F f; - - //for every pair of points in the diagram, compute the minimum of their distance, and distance of those points from diagonal - for ( size_t i = 0 ; i < this->intervals.size() ; ++i ) - { - //add distance of i-th point in the diagram from the diagonal to the distances vector - distances.push_back( f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ) ); - for ( size_t j = i+1 ; j < this->intervals.size() ; ++j ) - { - double value = std::min( - f( this->intervals[i] , this->intervals[j] ), - std::min( - f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ), - f( this->intervals[j] , std::make_pair( 0.5*(this->intervals[j].first+this->intervals[j].second) , 0.5*(this->intervals[j].first+this->intervals[j].second) ) ) - ) - ); - distances.push_back( value ); - - } - } - std::sort( distances.begin() , distances.end() , std::greater() ); - if ( distances.size() > where_to_cut )distances.resize( where_to_cut ); - - this->sorted_vector_of_distances = distances; -} - - - -//Implementations of functions for various concepts. -template -double Vector_distances_in_diagram::project_to_R( int number_of_function )const -{ - if ( (size_t)number_of_function > this->number_of_functions_for_projections_to_reals )throw "Wrong index of a function in a method Vector_distances_in_diagram::project_to_R"; - if ( number_of_function < 0 )throw "Wrong index of a function in a method Vector_distances_in_diagram::project_to_R"; - - double result = 0; - for ( size_t i = 0 ; i != (size_t)number_of_function ; ++i ) - { - result += sorted_vector_of_distances[i]; - } - return result; -} - -template -void Vector_distances_in_diagram::compute_average( const std::vector< Vector_distances_in_diagram* >& to_average ) -{ - - if ( to_average.size() == 0 ) - { - (*this) = Vector_distances_in_diagram(); - return; - } - - size_t maximal_length_of_vector = 0; - for ( size_t i = 0 ; i != to_average.size() ; ++i ) - { - if ( to_average[i]->sorted_vector_of_distances.size() > maximal_length_of_vector ) - { - maximal_length_of_vector = to_average[i]->sorted_vector_of_distances.size(); - } - } - - std::vector< double > av( maximal_length_of_vector , 0 ); - for ( size_t i = 0 ; i != to_average.size() ; ++i ) - { - for ( size_t j = 0 ; j != to_average[i]->sorted_vector_of_distances.size() ; ++j ) - { - av[j] += to_average[i]->sorted_vector_of_distances[j]; - } - } - - for ( size_t i = 0 ; i != maximal_length_of_vector ; ++i ) - { - av[i] /= (double)to_average.size(); - } - this->sorted_vector_of_distances = av; - this->where_to_cut = av.size(); -} - -template -double Vector_distances_in_diagram::distance( const Vector_distances_in_diagram& second_ , double power )const -{ - bool dbg = false; - - if ( dbg ) - { - std::cerr << "Entering double Vector_distances_in_diagram::distance( const Abs_Topological_data_with_distances* second , double power ) procedure \n"; - std::cerr << "Power : " << power << std::endl; - std::cerr << "This : " << *this << std::endl; - std::cerr << "second : " << second_ << std::endl; - } - - - double result = 0; - for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(), second_.sorted_vector_of_distances.size()) ; ++i ) - { - if ( power == 1 ) - { - if ( dbg ) - { - std::cerr << "|" << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " | : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) <sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ); - } - else - { - if ( power < std::numeric_limits::max() ) - { - result += std::pow( fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) , power ); - } - else - { - //nax morm - if ( result < fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) )result = fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ); - } - if ( dbg ) - { - std::cerr << "| " << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) <sorted_vector_of_distances.size() != second_.sorted_vector_of_distances.size() ) - { - if ( this->sorted_vector_of_distances.size() > second_.sorted_vector_of_distances.size() ) - { - for ( size_t i = second_.sorted_vector_of_distances.size() ; i != this->sorted_vector_of_distances.size() ; ++i ) - { - result += fabs( this->sorted_vector_of_distances[i] ); - } - } - else - { - //this->sorted_vector_of_distances.size() < second_.sorted_vector_of_distances.size() - for ( size_t i = this->sorted_vector_of_distances.size() ; i != second_.sorted_vector_of_distances.size() ; ++i ) - { - result += fabs( second_.sorted_vector_of_distances[i] ); - } - } - } - - - if ( power != 1 ) - { - result = std::pow( result , (1.0/power) ); - } - return result; -} - -template < typename F> -std::vector Vector_distances_in_diagram::vectorize( int number_of_function )const -{ - if ( (size_t)number_of_function > this->number_of_functions_for_vectorization )throw "Wrong index of a function in a method Vector_distances_in_diagram::vectorize"; - if ( number_of_function < 0 )throw "Wrong index of a function in a method Vector_distances_in_diagram::vectorize"; - - std::vector< double > result( std::min( (size_t)number_of_function , this->sorted_vector_of_distances.size() ) ); - for ( size_t i = 0 ; i != std::min( (size_t)number_of_function , this->sorted_vector_of_distances.size() ) ; ++i ) - { - result[i] = this->sorted_vector_of_distances[i]; - } - return result; -} - - -template < typename F> -void Vector_distances_in_diagram::write_to_file( const char* filename )const -{ - std::ofstream out; - out.open( filename ); - - for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) - { - out << this->sorted_vector_of_distances[i] << " "; - } - - out.close(); -} - -template < typename F> -void Vector_distances_in_diagram::load_from_file( const char* filename ) -{ - //check if the file exist. - if ( !( access( filename, F_OK ) != -1 ) ) - { - std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; - throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; - } - std::ifstream in; - in.open( filename ); - - double number; - while ( true ) - { - in >> number; - if ( in.eof() )break; - this->sorted_vector_of_distances.push_back(number); - } - in.close(); -} - -template < typename F> -double Vector_distances_in_diagram::compute_scalar_product( const Vector_distances_in_diagram& second_vector )const -{ - double result = 0; - for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(),second_vector.sorted_vector_of_distances.size()) ; ++i ) - { - result += this->sorted_vector_of_distances[i] * second_vector.sorted_vector_of_distances[i]; - } - return result; -} - - - - - -}//namespace Gudhi_stat -}//namespace Gudhi - - -#endif // Vector_distances_in_diagram_H diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/persistence_vectors.h b/src/Gudhi_stat/include/gudhi/persistence_representations/persistence_vectors.h new file mode 100644 index 00000000..83402d0f --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/persistence_representations/persistence_vectors.h @@ -0,0 +1,771 @@ +/* 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 . + */ + + +#ifndef Vector_distances_in_diagram_H +#define Vector_distances_in_diagram_H + +#include +#include +#include +#include +#include + +//gudhi include +#include +#include +#include + + +namespace Gudhi +{ +namespace Gudhi_stat +{ + +/* +template +struct Euclidean_distance +{ + double operator() ( const std::pair< T,T >& f , const std::pair& s ) + { + return sqrt( (f.first-s.first)*(f.first-s.first) + (f.second-s.second)*(f.second-s.second) ); + } + double operator() ( const std::vector< T >& f , const std::vector < T >& s ) + { + if ( f.size() != s.size() ) + { + std::cerr << "Not compatible points dimensions in the procedure to compute Euclidean distance. The program will now terminate. \n"; + std::cout << f.size() << " , " << s.size() << std::endl; + throw "Not compatible points dimensions in the procedure to compute Euclidean distance. The program will now terminate. \n"; + } + double result = 0; + for ( size_t i = 0 ; i != f.size() ; ++i ) + { + result += ( f[i]-s[i] )*( f[i]-s[i] ); + } + return sqrt( result ); + } +}; +* */ + +template +struct Maximum_distance +{ + double operator() ( const std::pair< T,T >& f , const std::pair& s ) + { + return std::max( fabs( f.first - s.first ) , fabs( f.second - s.second ) ); + } +}; + + + + +/** +* This is an implementation of idea presented in the paper 'Stable Topological Signatures for Points on 3D Shapes' by +* M. Carriere, S. Y. Oudot and M. Ovsjanikov published in Computer Graphics Forum (proc. SGP 2015). +* The parameter of the class is the class that computes distance used to construct the vectors. The typical function is +* either Eucludean of maximum (Manhattan) distance. +* This class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product +* +**/ + +template +class Vector_distances_in_diagram +{ +public: + /** + * The default constructor. + **/ + Vector_distances_in_diagram(){}; + + /** + * The constructor that takes as an input a multiset of persistence intervals (given as vector of birth-death pairs). The second parameter is the desiered length of the output vectors. + **/ + Vector_distances_in_diagram( const std::vector< std::pair< double , double > >& intervals , size_t where_to_cut ); + + /** + * The constructor taking as an input a file with birth-death pairs. The second parameter is the desiered length of the output vectors. + **/ + Vector_distances_in_diagram( const char* filename , size_t where_to_cut ); + + + /** + * Writing to a stream. + **/ + template + friend std::ostream& operator << ( std::ostream& out , const Vector_distances_in_diagram& d ) + { + for ( size_t i = 0 ; i != std::min( d.sorted_vector_of_distances.size() , d.where_to_cut) ; ++i ) + { + out << d.sorted_vector_of_distances[i] << " "; + } + return out; + } + + /** + * This procedure gives the value of a vector on a given position. + **/ + inline double vector_in_position( size_t position )const + { + if ( position >= this->sorted_vector_of_distances.size() )throw("Wrong position in accessing Vector_distances_in_diagram::sorted_vector_of_distances\n"); + return this->sorted_vector_of_distances[position]; + } + + /** + * Return a size of a vector. + **/ + inline size_t size()const{return this->sorted_vector_of_distances.size();} + + /** + * Write a vector to a file. + **/ + void write_to_file( const char* filename )const; + + /** + * Write a vector to a file. + **/ + void print_to_file( const char* filename )const + { + this->write_to_file( filename ); + } + + /** + * Loading a vector to a file. + **/ + void load_from_file( const char* filename ); + + /** + * Comparision operators: + **/ + bool operator == ( const Vector_distances_in_diagram& second )const + { + if ( this->sorted_vector_of_distances.size() != second.sorted_vector_of_distances.size() )return false; + for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) + { + if ( !almost_equal(this->sorted_vector_of_distances[i] , second.sorted_vector_of_distances[i]) )return false; + } + return true; + } + + bool operator != ( const Vector_distances_in_diagram& second )const + { + return !( *this == second ); + } + + + + + //Implementations of functions for various concepts. + /** + * Compute projection to real numbers of persistence vector. This function is required by the Real_valued_topological_data concept + **/ + double project_to_R( int number_of_function )const; + /** + * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. + **/ + size_t number_of_projections_to_R()const + { + return this->number_of_functions_for_projections_to_reals; + } + + /** + * Compute a vectorization of a persistent vectors. It is required in a concept Vectorized_topological_data. + **/ + std::vector vectorize( int number_of_function )const; + /** + * This function return the number of functions that allows vectorization of a persisence vector. It is required in a concept Vectorized_topological_data. + **/ + size_t number_of_vectorize_functions()const + { + return this->number_of_functions_for_vectorization; + } + + /** + * Compute a average of two persistent vectors. This function is required by Topological_data_with_averages concept. + **/ + void compute_average( const std::vector< Vector_distances_in_diagram* >& to_average ); + + /** + * Compute a distance of two persistent vectors. This function is required in Topological_data_with_distances concept. + * For max norm distance, set power to std::numeric_limits::max() + **/ + double distance( const Vector_distances_in_diagram& second , double power = 1)const; + + /** + * Compute a scalar product of two persistent vectors. This function is required in Topological_data_with_scalar_product concept. + **/ + double compute_scalar_product( const Vector_distances_in_diagram& second )const; + //end of implementation of functions needed for concepts. + + + + + + + + + + + + + + + + + + + /** + * For visualization use output from vectorize and build histograms. + **/ + std::vector< double > output_for_visualization()const + { + return this->sorted_vector_of_distances; + } + + + /** + * Create a gnuplot script to vizualize the data structure. + **/ + void plot( const char* filename )const + { + std::stringstream gnuplot_script; + gnuplot_script << filename << "_GnuplotScript"; + std::ofstream out; + out.open( gnuplot_script.str().c_str() ); + out << "set style data histogram" << std::endl; + out << "set style histogram cluster gap 1" << std::endl; + out << "set style fill solid border -1" << std::endl; + out << "plot '-' notitle" << std::endl; + for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) + { + out << this->sorted_vector_of_distances[i] << std::endl; + } + out < get_x_range()const + { + return std::make_pair( 0 , this->sorted_vector_of_distances.size() ); + } + + /** + * The y-range of the persistence vector. + **/ + std::pair< double , double > get_y_range()const + { + if ( this->sorted_vector_of_distances.size() == 0 )return std::make_pair(0,0); + return std::make_pair( this->sorted_vector_of_distances[0] , 0); + } + + //arythmetic operations: + template < typename Operation_type > + friend Vector_distances_in_diagram operation_on_pair_of_vectors( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second , Operation_type opertion ) + { + Vector_distances_in_diagram result; + //Operation_type operation; + result.sorted_vector_of_distances.reserve(std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ); + for ( size_t i = 0 ; i != std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) + { + result.sorted_vector_of_distances.push_back( opertion( first.sorted_vector_of_distances[i] , second.sorted_vector_of_distances[i]) ); + } + if ( first.sorted_vector_of_distances.size() == std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ) + { + for ( size_t i = std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; + i != std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) + { + result.sorted_vector_of_distances.push_back( opertion(0,second.sorted_vector_of_distances[i]) ); + } + } + else + { + for ( size_t i = std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; + i != std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) + { + result.sorted_vector_of_distances.push_back( opertion(first.sorted_vector_of_distances[i],0) ); + } + } + return result; + }//operation_on_pair_of_vectors + + /** + * This function implements an operation of multiplying Vector_distances_in_diagram by a scalar. + **/ + Vector_distances_in_diagram multiply_by_scalar( double scalar )const + { + Vector_distances_in_diagram result; + result.sorted_vector_of_distances.reserve( this->sorted_vector_of_distances.size() ); + for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) + { + result.sorted_vector_of_distances.push_back( scalar * this->sorted_vector_of_distances[i] ); + } + return result; + }//multiply_by_scalar + + + + /** + * This function computes a sum of two objects of a type Vector_distances_in_diagram. + **/ + friend Vector_distances_in_diagram operator+( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second ) + { + return operation_on_pair_of_vectors( first , second , std::plus() ); + } + /** + * This function computes a difference of two objects of a type Vector_distances_in_diagram. + **/ + friend Vector_distances_in_diagram operator-( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second ) + { + return operation_on_pair_of_vectors( first , second , std::minus() ); + } + /** + * This function computes a product of an object of a type Vector_distances_in_diagram with real number. + **/ + friend Vector_distances_in_diagram operator*( double scalar , const Vector_distances_in_diagram& A ) + { + return A.multiply_by_scalar( scalar ); + } + /** + * This function computes a product of an object of a type Vector_distances_in_diagram with real number. + **/ + friend Vector_distances_in_diagram operator*( const Vector_distances_in_diagram& A , double scalar ) + { + return A.multiply_by_scalar( scalar ); + } + /** + * This function computes a product of an object of a type Vector_distances_in_diagram with real number. + **/ + Vector_distances_in_diagram operator*( double scalar ) + { + return this->multiply_by_scalar( scalar ); + } + /** + * += operator for Vector_distances_in_diagram. + **/ + Vector_distances_in_diagram operator += ( const Vector_distances_in_diagram& rhs ) + { + *this = *this + rhs; + return *this; + } + /** + * -= operator for Vector_distances_in_diagram. + **/ + Vector_distances_in_diagram operator -= ( const Vector_distances_in_diagram& rhs ) + { + *this = *this - rhs; + return *this; + } + /** + * *= operator for Vector_distances_in_diagram. + **/ + Vector_distances_in_diagram operator *= ( double x ) + { + *this = *this*x; + return *this; + } + /** + * /= operator for Vector_distances_in_diagram. + **/ + Vector_distances_in_diagram operator /= ( double x ) + { + if ( x == 0 )throw( "In operator /=, division by 0. Program terminated." ); + *this = *this * (1/x); + return *this; + } + + +private: + std::vector< std::pair< double , double > > intervals; + std::vector< double > sorted_vector_of_distances; + size_t number_of_functions_for_vectorization; + size_t number_of_functions_for_projections_to_reals; + size_t where_to_cut; + + void compute_sorted_vector_of_distances_via_heap( size_t where_to_cut ); + void compute_sorted_vector_of_distances_via_vector_sorting( size_t where_to_cut ); + + Vector_distances_in_diagram( const std::vector< double >& sorted_vector_of_distances_ ):sorted_vector_of_distances(sorted_vector_of_distances_) + { + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); + } + + void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() + { + //warning, this function can be only called after filling in the intervals vector. + this->number_of_functions_for_vectorization = this->sorted_vector_of_distances.size(); + this->number_of_functions_for_projections_to_reals = this->sorted_vector_of_distances.size(); + } +}; + + +template +Vector_distances_in_diagram::Vector_distances_in_diagram( const std::vector< std::pair< double,double > >& intervals_ , size_t where_to_cut_ ):where_to_cut(where_to_cut_) +{ + std::vector< std::pair< double,double > > i( intervals_ ); + this->intervals = i; + //this->compute_sorted_vector_of_distances_via_heap( where_to_cut ); + this->compute_sorted_vector_of_distances_via_vector_sorting(where_to_cut); + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); +} + +template +Vector_distances_in_diagram::Vector_distances_in_diagram( const char* filename , size_t where_to_cut ):where_to_cut(where_to_cut) +{ + //standard file with barcode + std::vector< std::pair< double , double > > intervals = read_standard_persistence_file( filename ); + //gudhi file with barcode + //std::vector< std::pair< double , double > > intervals = read_gudhi_persistence_file( filename , dimension ); + + this->intervals = intervals; + this->compute_sorted_vector_of_distances_via_heap( where_to_cut ); + //this->compute_sorted_vector_of_distances_via_vector_sorting( where_to_cut ); + set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); +} + +template < typename F> +void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_heap( size_t where_to_cut ) +{ + + bool dbg = false; + if ( dbg ) + { + std::cerr << "Here are the intervals : \n"; + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + std::cerr << this->intervals[i].first << " , " << this->intervals[i].second <intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size())); + + std::vector< double > heap( where_to_cut , std::numeric_limits::max() ); + std::make_heap (heap.begin(),heap.end()); + F f; + + //for every pair of points in the diagram, compute the minimum of their distance, and distance of those points from diagonal + for ( size_t i = 0 ; i < this->intervals.size() ; ++i ) + { + for ( size_t j = i+1 ; j < this->intervals.size() ; ++j ) + { + double value = std::min( + f( this->intervals[i] , this->intervals[j] ), + std::min( + f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ), + f( this->intervals[j] , std::make_pair( 0.5*(this->intervals[j].first+this->intervals[j].second) , 0.5*(this->intervals[j].first+this->intervals[j].second) ) ) + ) + ); + + if ( dbg ) + { + std::cerr << "Value : " << value <intervals.size() ; ++i ) + { + double value = f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ); + if ( -value < heap.front() ) + { + //std::cerr << "Replacing : " << heap.front() << " with : " << -value <::max() ) + { + heap[i] = 0; + } + else + { + heap[i] *= -1; + } + } + + if ( dbg ) + { + std::cerr << "This is the heap after all the operations :\n"; + for ( size_t i = 0 ; i != heap.size() ; ++i ) + { + std::cout << heap[i] << " "; + } + std::cout <sorted_vector_of_distances = heap; +} + + + + +template < typename F> +void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_vector_sorting( size_t where_to_cut ) +{ + std::vector< double > distances; + distances.reserve( (size_t)(0.5 * this->intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size()) ); + F f; + + //for every pair of points in the diagram, compute the minimum of their distance, and distance of those points from diagonal + for ( size_t i = 0 ; i < this->intervals.size() ; ++i ) + { + //add distance of i-th point in the diagram from the diagonal to the distances vector + distances.push_back( f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ) ); + for ( size_t j = i+1 ; j < this->intervals.size() ; ++j ) + { + double value = std::min( + f( this->intervals[i] , this->intervals[j] ), + std::min( + f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ), + f( this->intervals[j] , std::make_pair( 0.5*(this->intervals[j].first+this->intervals[j].second) , 0.5*(this->intervals[j].first+this->intervals[j].second) ) ) + ) + ); + distances.push_back( value ); + + } + } + std::sort( distances.begin() , distances.end() , std::greater() ); + if ( distances.size() > where_to_cut )distances.resize( where_to_cut ); + + this->sorted_vector_of_distances = distances; +} + + + +//Implementations of functions for various concepts. +template +double Vector_distances_in_diagram::project_to_R( int number_of_function )const +{ + if ( (size_t)number_of_function > this->number_of_functions_for_projections_to_reals )throw "Wrong index of a function in a method Vector_distances_in_diagram::project_to_R"; + if ( number_of_function < 0 )throw "Wrong index of a function in a method Vector_distances_in_diagram::project_to_R"; + + double result = 0; + for ( size_t i = 0 ; i != (size_t)number_of_function ; ++i ) + { + result += sorted_vector_of_distances[i]; + } + return result; +} + +template +void Vector_distances_in_diagram::compute_average( const std::vector< Vector_distances_in_diagram* >& to_average ) +{ + + if ( to_average.size() == 0 ) + { + (*this) = Vector_distances_in_diagram(); + return; + } + + size_t maximal_length_of_vector = 0; + for ( size_t i = 0 ; i != to_average.size() ; ++i ) + { + if ( to_average[i]->sorted_vector_of_distances.size() > maximal_length_of_vector ) + { + maximal_length_of_vector = to_average[i]->sorted_vector_of_distances.size(); + } + } + + std::vector< double > av( maximal_length_of_vector , 0 ); + for ( size_t i = 0 ; i != to_average.size() ; ++i ) + { + for ( size_t j = 0 ; j != to_average[i]->sorted_vector_of_distances.size() ; ++j ) + { + av[j] += to_average[i]->sorted_vector_of_distances[j]; + } + } + + for ( size_t i = 0 ; i != maximal_length_of_vector ; ++i ) + { + av[i] /= (double)to_average.size(); + } + this->sorted_vector_of_distances = av; + this->where_to_cut = av.size(); +} + +template +double Vector_distances_in_diagram::distance( const Vector_distances_in_diagram& second_ , double power )const +{ + bool dbg = false; + + if ( dbg ) + { + std::cerr << "Entering double Vector_distances_in_diagram::distance( const Abs_Topological_data_with_distances* second , double power ) procedure \n"; + std::cerr << "Power : " << power << std::endl; + std::cerr << "This : " << *this << std::endl; + std::cerr << "second : " << second_ << std::endl; + } + + + double result = 0; + for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(), second_.sorted_vector_of_distances.size()) ; ++i ) + { + if ( power == 1 ) + { + if ( dbg ) + { + std::cerr << "|" << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " | : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) <sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ); + } + else + { + if ( power < std::numeric_limits::max() ) + { + result += std::pow( fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) , power ); + } + else + { + //nax morm + if ( result < fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) )result = fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ); + } + if ( dbg ) + { + std::cerr << "| " << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) <sorted_vector_of_distances.size() != second_.sorted_vector_of_distances.size() ) + { + if ( this->sorted_vector_of_distances.size() > second_.sorted_vector_of_distances.size() ) + { + for ( size_t i = second_.sorted_vector_of_distances.size() ; i != this->sorted_vector_of_distances.size() ; ++i ) + { + result += fabs( this->sorted_vector_of_distances[i] ); + } + } + else + { + //this->sorted_vector_of_distances.size() < second_.sorted_vector_of_distances.size() + for ( size_t i = this->sorted_vector_of_distances.size() ; i != second_.sorted_vector_of_distances.size() ; ++i ) + { + result += fabs( second_.sorted_vector_of_distances[i] ); + } + } + } + + + if ( power != 1 ) + { + result = std::pow( result , (1.0/power) ); + } + return result; +} + +template < typename F> +std::vector Vector_distances_in_diagram::vectorize( int number_of_function )const +{ + if ( (size_t)number_of_function > this->number_of_functions_for_vectorization )throw "Wrong index of a function in a method Vector_distances_in_diagram::vectorize"; + if ( number_of_function < 0 )throw "Wrong index of a function in a method Vector_distances_in_diagram::vectorize"; + + std::vector< double > result( std::min( (size_t)number_of_function , this->sorted_vector_of_distances.size() ) ); + for ( size_t i = 0 ; i != std::min( (size_t)number_of_function , this->sorted_vector_of_distances.size() ) ; ++i ) + { + result[i] = this->sorted_vector_of_distances[i]; + } + return result; +} + + +template < typename F> +void Vector_distances_in_diagram::write_to_file( const char* filename )const +{ + std::ofstream out; + out.open( filename ); + + for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) + { + out << this->sorted_vector_of_distances[i] << " "; + } + + out.close(); +} + +template < typename F> +void Vector_distances_in_diagram::load_from_file( const char* filename ) +{ + //check if the file exist. + if ( !( access( filename, F_OK ) != -1 ) ) + { + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; + } + std::ifstream in; + in.open( filename ); + + double number; + while ( true ) + { + in >> number; + if ( in.eof() )break; + this->sorted_vector_of_distances.push_back(number); + } + in.close(); +} + +template < typename F> +double Vector_distances_in_diagram::compute_scalar_product( const Vector_distances_in_diagram& second_vector )const +{ + double result = 0; + for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(),second_vector.sorted_vector_of_distances.size()) ; ++i ) + { + result += this->sorted_vector_of_distances[i] * second_vector.sorted_vector_of_distances[i]; + } + return result; +} + + + + + +}//namespace Gudhi_stat +}//namespace Gudhi + + +#endif // Vector_distances_in_diagram_H diff --git a/src/Gudhi_stat/include/gudhi/read_persitence_from_file.h b/src/Gudhi_stat/include/gudhi/read_persitence_from_file.h index 38cdecd5..a340b40c 100644 --- a/src/Gudhi_stat/include/gudhi/read_persitence_from_file.h +++ b/src/Gudhi_stat/include/gudhi/read_persitence_from_file.h @@ -42,7 +42,7 @@ namespace Gudhi_stat * This procedure reads birth-death dagta from a file. We assume that in the file, there may be one type of string 'inf' or 'Inf'. If the second parameter of the program is set to -1, * then those vales are ignored. If the second parameter of this program is set to a positive value, then the infinite intervals will be substituted by that number. **/ -std::vector< std::pair< double,double > > read_persistence_file_that_may_contain_inf_string( char* filename , double what_to_substitute_for_infinite_bar = -1 ) +std::vector< std::pair< double,double > > read_persistence_file_that_may_contain_inf_string( const char* filename , double what_to_substitute_for_infinite_bar = -1 ) { bool dbg = true; @@ -203,7 +203,12 @@ std::vector< std::pair< double , double > > read_standard_persistence_file( cons **/ std::vector< std::pair< double , double > > read_gudhi_persistence_file_in_one_dimension( const char* filename , size_t dimension = 0 , double what_to_substitute_for_infinite_bar = -1) { - bool dbg = false; + bool dbg = false; + if ( !( access( filename, F_OK ) != -1 ) ) + { + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; + } std::ifstream in; in.open( filename ); @@ -306,6 +311,151 @@ std::vector< std::vector< double > > read_numbers_from_file_line_by_line( const return result; }//read_numbers_from_file_line_by_line + +/** + * Universal procedure to read files with persistence. It ignores the lines starting from # (treat them as comments). + * It reads the fist line which is not a comment and assume that there are some numerical entries over there. The program assume + * that each other line in the file, which is not a comment, have the same number of numerical entries. + * If there are two numerical entries per line, then the function assume that they are birth/death coordinates. + * If there are three numerical entries per line, then the function assume that they are: dimension and birth/death coordinates. + * If there are four numerical entries per line, then the function assume that they are: thc characteristic of a filed over which + * persistence was computed, dimension and birth/death coordinates. + * The procedure returns vector of persistence pairs. +**/ +std::vector> read_persistence_intervals_in_one_dimension_from_file(std::string const& filename, int dimension=-1 , double what_to_substitute_for_infinite_bar = -1 ) +{ + bool dbg = false; + + //checking if the file exist: + if ( !( access( filename.c_str() , F_OK ) != -1 ) ) + { + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; + } + + + std::ifstream in; + in.open( filename ); + + std::string line; + std::vector< std::pair > barcode; + + int number_of_entries_per_line = -1; + + while (!in.eof()) + { + getline(in,line); + if ( dbg )std::cerr << "Reading line : " << line << std::endl; + if ( !(line.length() == 0 || line[0] == '#') ) + { + if ( number_of_entries_per_line == -1 ) + { + //check how many entries we have in the line. + std::stringstream ss( line ); + int number; + std::vector this_line; + while ( ss >> number ) + { + this_line.push_back( number ); + } + number_of_entries_per_line = (int)this_line.size(); + //if thie line contains 'inf' string, then we need to increment number_of_entries_per_line + if ( line.find("inf") != std::string::npos )++number_of_entries_per_line; + if ( dbg ) + { + std::cerr << "number_of_entries_per_line : " << number_of_entries_per_line << ". This number was obtained by analyzing this line : " << line << std::endl; + } + if ( (number_of_entries_per_line < 2) || ( number_of_entries_per_line > 4 ) ) + { + std::cerr << "The input file you have provided have wrong number of numerical entries per line. The program will now terminate. \n"; + throw "The input file you have provided have wrong number of numerical entries per line. The program will now terminate. \n"; + } + } + if ( line.find("inf") != std::string::npos ) + { + if ( dbg ) + { + std::cerr << "This line: " << line << " contains infinite interval. \n"; + } + if ( what_to_substitute_for_infinite_bar != -1 ) + { + double beginn, field, dim; + std::stringstream lineSS(line); + if ( number_of_entries_per_line == 4 )lineSS >> field; + if ( number_of_entries_per_line >= 3 ) + { + lineSS >> dim; + } + else + { + dim = dimension; + } + lineSS >> beginn; + if ( dim == dimension ) + { + if ( beginn > what_to_substitute_for_infinite_bar ) + { + barcode.push_back( std::make_pair( what_to_substitute_for_infinite_bar , beginn ) ); + } + else + { + barcode.push_back( std::make_pair( beginn , what_to_substitute_for_infinite_bar ) ); + } + if (dbg) + { + std::cerr << "this is the line that is going to the output : " << beginn << " , " << what_to_substitute_for_infinite_bar << std::endl; + } + } + } + else + { + if ( dbg ) + { + std::cerr << "We will skip it \n"; + } + } + continue; + } + std::stringstream lineSS(line); + double beginn, endd, field, dim; + if ( number_of_entries_per_line == 4 )lineSS >> field; + if ( number_of_entries_per_line >= 3 ) + { + lineSS >> dim; + } + else + { + dim = dimension; + } + lineSS >> beginn; + lineSS >> endd; + if ( beginn > endd ) + { + std::swap(beginn,endd); + } + if ( dim == dimension ) + { + barcode.push_back( std::make_pair( beginn , endd ) ); + if (dbg) + { + std::cerr << "This is a line that is going to the output : " << beginn << " , " << endd << std::endl; + } + } + } + else + { + if ( dbg ) + { + std::cerr << "This is a comment line \n"; + } + } + } + in.close(); + if ( dbg )std::cerr << "End of reading \n"; + + return barcode; +}//read_persistence_intervals_in_one_dimension_from_file + }//namespace Gudhi_stat }//namespace Gudhi diff --git a/src/Gudhi_stat/test/vector_representation_test.cpp b/src/Gudhi_stat/test/vector_representation_test.cpp index fd512a8c..c3b15d05 100644 --- a/src/Gudhi_stat/test/vector_representation_test.cpp +++ b/src/Gudhi_stat/test/vector_representation_test.cpp @@ -21,7 +21,7 @@ */ -#include +#include #include #include diff --git a/src/Gudhi_stat/utilities/Hausdorff_subsampling.cpp b/src/Gudhi_stat/utilities/Hausdorff_subsampling.cpp index b05a7adb..e80caaec 100644 --- a/src/Gudhi_stat/utilities/Hausdorff_subsampling.cpp +++ b/src/Gudhi_stat/utilities/Hausdorff_subsampling.cpp @@ -24,7 +24,7 @@ #include #include #include -#include +#include using namespace Gudhi; diff --git a/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp b/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp index e6e96e68..53552184 100644 --- a/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp +++ b/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp @@ -25,7 +25,7 @@ #include #include #include -#include +#include //persistence part: #include #include diff --git a/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp b/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp index 33b6c9dc..5a0a7b23 100644 --- a/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp +++ b/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp @@ -24,7 +24,7 @@ #include #include #include -#include +#include using namespace Gudhi; using namespace Gudhi::Gudhi_stat; diff --git a/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp index b6b11211..245676cd 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp @@ -21,7 +21,7 @@ */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp index d61c6753..feba2429 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp index 7607c518..775f4913 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp index b016f2e2..fc434ba8 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp index 4f19877c..c642d22d 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include -- cgit v1.2.3 From 564deeab5f8c3b6251016e08cbecf1c47c7f5610 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Thu, 13 Apr 2017 20:09:43 +0000 Subject: Answer to Marc's comments (MG5) git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@2344 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 5d2cd22cb13d74b1ca99892eb8773d8db2e7db2b --- src/Gudhi_stat/example/persistence_intervals.cpp | 2 +- .../Persistence_intervals.h | 28 +++++++--------------- .../Persistence_intervals_with_distances.h | 13 +--------- src/Gudhi_stat/test/persistence_intervals_test.cpp | 6 ++--- ...te_birth_death_range_in_persistence_diagram.cpp | 2 +- 5 files changed, 15 insertions(+), 36 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/persistence_intervals.cpp b/src/Gudhi_stat/example/persistence_intervals.cpp index 60d5a811..33d45485 100644 --- a/src/Gudhi_stat/example/persistence_intervals.cpp +++ b/src/Gudhi_stat/example/persistence_intervals.cpp @@ -42,7 +42,7 @@ int main( int argc , char** argv ) } Persistence_intervals p( argv[1] ); - std::pair min_max_ = p.min_max(); + std::pair min_max_ = p.get_x_range(); std::cout << "Birth-death range : " << min_max_.first << " " << min_max_.second << std::endl; diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals.h index 2ff4d7f7..64d8c502 100644 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals.h +++ b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals.h @@ -58,18 +58,20 @@ public: * are smaller or equal the second elements of pairs. **/ Persistence_intervals( const std::vector< std::pair< double,double > >& intervals ); - - /** - * The procedure returns a pair the first element of which is the leftmost end of the interval, and the second element of which is the rightmost end of the interval. - **/ - std::pair min_max()const; /** * This procedure returns x-range of a given persistence diagram. **/ std::pair< double , double > get_x_range()const { - return this->min_max(); + double min_ = std::numeric_limits::max(); + double max_ = -std::numeric_limits::max(); + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + if ( this->intervals[i].first < min_ )min_ = this->intervals[i].first; + if ( this->intervals[i].second > max_ )max_ = this->intervals[i].second; + } + return std::make_pair( min_ , max_ ); } /** @@ -160,7 +162,7 @@ public: std::string nameStr = nameSS.str(); out.open( nameStr ); - std::pair min_max_values = this->min_max(); + std::pair min_max_values = this->get_x_range(); if ( min_x == max_x ) { out << "set xrange [" << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " : " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " ]" << std::endl; @@ -676,18 +678,6 @@ std::vector< double > Persistence_intervals::k_n_n( size_t k , size_t where_to_c } -std::pair Persistence_intervals::min_max()const -{ - double min_ = std::numeric_limits::max(); - double max_ = -std::numeric_limits::max(); - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - if ( this->intervals[i].first < min_ )min_ = this->intervals[i].first; - if ( this->intervals[i].second > max_ )max_ = this->intervals[i].second; - } - return std::make_pair( min_ , max_ ); -} - double Persistence_intervals::project_to_R( int number_of_function )const { double result = 0; diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals_with_distances.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals_with_distances.h index 84a95e95..3c1d8a45 100644 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals_with_distances.h +++ b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals_with_distances.h @@ -35,18 +35,7 @@ namespace Gudhi_stat class Persistence_intervals_with_distances : public Persistence_intervals { public: - /** - * This is a constructor of a class Persistence_intervals_with_distances from a text file. Each line of the input file is supposed to contain two numbers of a type doube (or convertable to double) - * representing the birth and the death of the persistence interval. If the pairs are not sorted so that birth <= death, then the constructor will sort then that way. - * The second parameter of a constructor is a dimension of intervals to be read from a file. If your file contains only birt-death pairs, use the default value. - **/ - Persistence_intervals_with_distances( const char* filename , unsigned dimension = std::numeric_limits::max() ):Persistence_intervals( filename , dimension ){} - - /** - * This is a constructor of a class Persistence_intervals_with_distances from a vector of pairs. Each pair is assumed to represent a persistence interval. We assume that the first elemnets of pairs - * are smaller or equal the second elements of pairs. - **/ - Persistence_intervals_with_distances( const std::vector< std::pair< double,double > >& intervals ):Persistence_intervals( intervals ){} + using Persistence_intervals::Persistence_intervals; /** *Computations of distance from the current persistnce diagram to the persistence diagram given as a parameter of this function. diff --git a/src/Gudhi_stat/test/persistence_intervals_test.cpp b/src/Gudhi_stat/test/persistence_intervals_test.cpp index 6dec1bb7..4fb73da1 100644 --- a/src/Gudhi_stat/test/persistence_intervals_test.cpp +++ b/src/Gudhi_stat/test/persistence_intervals_test.cpp @@ -47,7 +47,7 @@ double epsilon = 0.0000005; BOOST_AUTO_TEST_CASE(check_min_max_function) { Persistence_intervals p( "data/file_with_diagram" ); - std::pair min_max_ = p.min_max(); + std::pair min_max_ = p.get_x_range(); //cout << min_max_.first << " " << min_max_.second << std::endl;getchar(); @@ -150,7 +150,7 @@ BOOST_AUTO_TEST_CASE(check_cumulative_histograms_of_lengths) BOOST_AUTO_TEST_CASE(check_characteristic_function_of_diagram) { Persistence_intervals p( "data/file_with_diagram" ); - std::pair min_max_ = p.min_max(); + 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 ); @@ -183,7 +183,7 @@ BOOST_AUTO_TEST_CASE(check_characteristic_function_of_diagram) BOOST_AUTO_TEST_CASE(check_cumulative_characteristic_function_of_diagram) { Persistence_intervals p( "data/file_with_diagram" ); - std::pair min_max_ = p.min_max(); + 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; diff --git a/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp b/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp index a3e19400..291bd557 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp @@ -62,7 +62,7 @@ int main( int argc , char** argv ) { std::cout << "Creating diagram based on a file : " << filenames[file_no] << std::endl; Persistence_intervals p( filenames[file_no] , dimension ); - std::pair min_max_ = p.min_max(); + std::pair min_max_ = p.get_x_range(); if ( min_max_.first < min_ )min_ = min_max_.first; if ( min_max_.second > max_ )max_ = min_max_.second; } -- cgit v1.2.3 From 399033b54b3f84ae1860665ca2071436ff010582 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Fri, 14 Apr 2017 07:44:21 +0000 Subject: Answer to Vincent's comments. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@2348 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 14d2d7d14089c17e4e7949b1f8e46990d0b16181 --- src/Gudhi_stat/doc/gudhi_stat_doc.h | 4 + src/Gudhi_stat/example/CMakeLists.txt | 5 + src/Gudhi_stat/example/simple_diagram.txt | 4 + .../Persistence_heat_maps.h | 14 ++- .../Persistence_landscape.h | 7 +- .../Persistence_landscape_on_grid.h | 10 +- .../persistence_vectors.h | 8 +- .../include/gudhi/read_persistence_from_file.h | 42 ++++----- .../utilities/persistence_heat_maps/CMakeLists.txt | 34 ++++--- ...eat_maps_weighted_by_distance_from_diagonal.cpp | 6 +- .../persistence_heat_maps/create_pssk.cpp | 1 - .../persistence_heat_maps/simple_diagram.txt.mps | 11 +++ .../utilities/persistence_intervals/CMakeLists.txt | 7 +- .../compute_bottleneck_distance.cpp | 4 +- .../plot_histogram_of_intervals_lengths.cpp | 2 +- .../persistence_landscapes/CMakeLists.txt | 11 ++- .../persistence_landscapes/simple_diagram.txt.land | 13 +++ .../persistence_landscapes_on_grid/CMakeLists.txt | 11 ++- .../simple_diagram.txt.g_land | 104 +++++++++++++++++++++ .../utilities/persistence_vectors/CMakeLists.txt | 11 ++- .../persistence_vectors/simple_diagram.txt.vect | 1 + .../utilities/sliding_window_embedding.cpp | 1 - 22 files changed, 244 insertions(+), 67 deletions(-) create mode 100644 src/Gudhi_stat/example/simple_diagram.txt create mode 100644 src/Gudhi_stat/utilities/persistence_heat_maps/simple_diagram.txt.mps create mode 100644 src/Gudhi_stat/utilities/persistence_landscapes/simple_diagram.txt.land create mode 100644 src/Gudhi_stat/utilities/persistence_landscapes_on_grid/simple_diagram.txt.g_land create mode 100644 src/Gudhi_stat/utilities/persistence_vectors/simple_diagram.txt.vect (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/doc/gudhi_stat_doc.h b/src/Gudhi_stat/doc/gudhi_stat_doc.h index cbff56d6..b2162c49 100644 --- a/src/Gudhi_stat/doc/gudhi_stat_doc.h +++ b/src/Gudhi_stat/doc/gudhi_stat_doc.h @@ -81,6 +81,7 @@ namespace Gudhi_stat { *Below we are discussing the representations which are currently implemented in Gudhi\_stat: * *\section sec_persistence_landscapes Persistence Landscapes + * Reference manual: \ref Gudhi::Gudhi_stat::Persistence_landscape *Persistence landscapes were originally proposed by Bubenik in \cite bubenik_landscapes_2015. Efficient algorithms to compute them rigorously were proposed by Bubenik and Dlotko in \cite bubenik_dlotko_landscapes_2016. The idea of * persistence landscapes is shortly summarized in below. * @@ -119,6 +120,7 @@ namespace Gudhi_stat { * * *\section sec_landscapes_on_grid Persistence Landscapes on a grid + * Reference manual: \ref Gudhi::Gudhi_stat::Persistence_landscape_on_grid *This is an alternative, not--exact, representation of persistence landscapes defined in the Section \ref sec_persistence_landscapes. Unlike in the Section \ref sec_persistence_landscapes we build a * representation of persistence landscape by sampling its values on a finite, equally distributed grid of points. * Since, the persistence landscapes that originate from persistence diagrams have slope \f$1\f$ or \f$-1\f$, we have an estimate of a region between the grid points where the landscape cab be located. @@ -151,6 +153,7 @@ namespace Gudhi_stat { *Note that the same representation is used in TDA R-package \cite Fasy_Kim_Lecci_Maria_tda. * *\section sec_persistence_heat_maps Persistence heat maps + * Reference manual: \ref Gudhi::Gudhi_stat::Persistence heat maps *This is a general class of discrete structures which are based on idea of placing a kernel in the points of persistence diagrams. *This idea appeared in work by many authors over the last 15 years. As far as we know this idea was firstly described in the work of Bologna group in \cite Ferri_Frosini_comparision_sheme_1 and \cite Ferri_Frosini_comparision_sheme_2. *Later it has been described by Colorado State University group in \cite Persistence_Images_2017. The presented paper in the first time provide a discussion of stability of the representation. @@ -174,6 +177,7 @@ namespace Gudhi_stat { * * *\section sec_persistence_vectors Persistence vectors + * Reference manual: \ref Gudhi::Gudhi_stat::Persistence vectors *This is a representation of persistent homology in a form of a vector which was designed for an application in 3d graphic in \cite Carriere_Oudot_Ovsjanikov_top_signatures_3d. Below we provide a short description of this representation. * *Given a persistence diagram \f$D = \{ (b_i,d_i) \}\f$, for every pair of birth--death points \f$(b_1,d_1)\f$ and \f$(b_2,d_2)\f$ we compute the following three distances: diff --git a/src/Gudhi_stat/example/CMakeLists.txt b/src/Gudhi_stat/example/CMakeLists.txt index 61ea6d4f..2df9d5a4 100644 --- a/src/Gudhi_stat/example/CMakeLists.txt +++ b/src/Gudhi_stat/example/CMakeLists.txt @@ -3,18 +3,23 @@ project(GUDHI_STAT) add_executable ( persistence_landscape_on_grid persistence_landscape_on_grid.cpp ) target_link_libraries(persistence_landscape_on_grid ${Boost_SYSTEM_LIBRARY}) +add_test ( persistence_landscape_on_grid ${CMAKE_CURRENT_BINARY_DIR}/persistence_landscape_on_grid ) add_executable ( persistence_landscape persistence_landscape.cpp ) target_link_libraries(persistence_landscape ${Boost_SYSTEM_LIBRARY}) +add_test ( persistence_landscape ${CMAKE_CURRENT_BINARY_DIR}/persistence_landscape ) add_executable ( persistence_intervals persistence_intervals.cpp ) target_link_libraries(persistence_intervals ${Boost_SYSTEM_LIBRARY}) +add_test ( persistence_intervals ${CMAKE_CURRENT_BINARY_DIR}/persistence_intervals simple_diagram.txt ) add_executable ( persistence_vectors persistence_vectors.cpp ) target_link_libraries(persistence_vectors ${Boost_SYSTEM_LIBRARY}) +add_test ( persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/persistence_vectors ) add_executable ( persistence_heat_maps persistence_heat_maps.cpp ) target_link_libraries(persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) +add_test ( persistence_heat_maps ${CMAKE_CURRENT_BINARY_DIR}/persistence_heat_maps ) diff --git a/src/Gudhi_stat/example/simple_diagram.txt b/src/Gudhi_stat/example/simple_diagram.txt new file mode 100644 index 00000000..2f199fd4 --- /dev/null +++ b/src/Gudhi_stat/example/simple_diagram.txt @@ -0,0 +1,4 @@ +1 2 +3 4 +5 6 +7 8 \ No newline at end of file diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_heat_maps.h index 3cfd52f5..56890267 100644 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_heat_maps.h +++ b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_heat_maps.h @@ -576,9 +576,12 @@ void Persistence_heat_maps::construct( const std::vector< s if ( dbg )std::cerr << "Entering construct procedure \n"; Scalling_of_kernels f; this->f = f; + + if ( dbg )std::cerr << "min and max passed to construct() procedure: " << min_ << " " << max_ << std::endl; if ( min_ == max_ ) { + if (dbg)std::cerr << "min and max parameters will be etermined based on intervals \n"; //in this case, we want the program to set up the min_ and max_ values by itself. min_ = std::numeric_limits::max(); max_ = -std::numeric_limits::max(); @@ -705,8 +708,13 @@ Persistence_heat_maps::Persistence_heat_maps( const char* f else { intervals_ = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); - } - this->construct( intervals_ , filter, erase_below_diagonal , number_of_pixels , min_ , max_ ); + } + //std::cerr << "intervals_.size() : " << intervals_.size() << std::endl; + //for ( size_t i = 0 ; i != intervals_.size() ; ++i ) + //{ + // std::cerr << intervals_[i].first << " " << intervals_[i].second << std::endl; + //} + this->construct( intervals_ , filter, erase_below_diagonal , number_of_pixels , min_ , max_ ); this->set_up_parameters_for_basic_classes(); } @@ -865,7 +873,7 @@ void Persistence_heat_maps::load_from_file( const char* fil in.open( filename ); //checking if the file exist / if it was open. - if ( !( access( filename, F_OK ) != -1 ) ) + if ( !in.good() ) { std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape.h index 925d784f..c274a81f 100644 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape.h +++ b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape.h @@ -32,7 +32,6 @@ #include #include #include -#include //gudhi include @@ -1028,9 +1027,9 @@ void Persistence_landscape::load_landscape_from_file( const char* filename ) //this constructor reads persistence landscape form a file. This file have to be created by this software beforehead - std::ifstream in; - in.open( filename ); - if ( !( access( filename, F_OK ) != -1 ) ) + std::ifstream in; + in.open( filename ); + if ( !in.good() ) { std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape_on_grid.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape_on_grid.h index 3103172d..3d51c0a7 100644 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape_on_grid.h +++ b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape_on_grid.h @@ -31,7 +31,6 @@ #include #include #include -#include #include #include @@ -1018,7 +1017,7 @@ public: - + @@ -1328,16 +1327,17 @@ Persistence_landscape_on_grid::Persistence_landscape_on_grid(const char* filenam this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ , number_of_levels_of_landscape ); } + void Persistence_landscape_on_grid::load_landscape_from_file( const char* filename ) { + std::ifstream in; + in.open( filename ); //check if the file exist. - if ( !( access( filename, F_OK ) != -1 ) ) + if ( !in.good() ) { std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; } - std::ifstream in; - in.open( filename ); size_t number_of_points_in_the_grid = 0; in >> this->grid_min >> this->grid_max >> number_of_points_in_the_grid; diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/persistence_vectors.h b/src/Gudhi_stat/include/gudhi/persistence_representations/persistence_vectors.h index aa1f23c2..d56f92c4 100644 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/persistence_vectors.h +++ b/src/Gudhi_stat/include/gudhi/persistence_representations/persistence_vectors.h @@ -734,15 +734,15 @@ void Vector_distances_in_diagram::write_to_file( const char* filename )const template < typename F> void Vector_distances_in_diagram::load_from_file( const char* filename ) { + std::ifstream in; + in.open( filename ); //check if the file exist. - if ( !( access( filename, F_OK ) != -1 ) ) + if ( !in.good() ) { std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; } - std::ifstream in; - in.open( filename ); - + double number; while ( true ) { diff --git a/src/Gudhi_stat/include/gudhi/read_persistence_from_file.h b/src/Gudhi_stat/include/gudhi/read_persistence_from_file.h index a340b40c..5042826c 100644 --- a/src/Gudhi_stat/include/gudhi/read_persistence_from_file.h +++ b/src/Gudhi_stat/include/gudhi/read_persistence_from_file.h @@ -29,7 +29,7 @@ #include #include #include -#include + namespace Gudhi @@ -47,7 +47,8 @@ std::vector< std::pair< double,double > > read_persistence_file_that_may_contain bool dbg = true; - if ( !( access( filename, F_OK ) != -1 ) ) + std::ifstream in(filename); + if ( !in.good() ) { std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read do not exist. The program will now terminate \n"; @@ -55,9 +56,7 @@ std::vector< std::pair< double,double > > read_persistence_file_that_may_contain std::string line; std::vector< std::pair > barcode; - - std::ifstream in; - in.open( filename ); + while (!in.eof()) { getline(in,line); @@ -108,15 +107,14 @@ std::vector< std::string > readFileNames( const char* filenameWithFilenames ) { bool dbg = false; - if ( !( access( filenameWithFilenames, F_OK ) != -1 ) ) + std::ifstream in(filenameWithFilenames); + if ( !in.good() ) { std::cerr << "The file : " << filenameWithFilenames << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read do not exist. The program will now terminate \n"; } - std::vector< std::string > result; - std::ifstream in; - in.open( filenameWithFilenames ); + std::vector< std::string > result; std::string line; while (!in.eof()) { @@ -154,7 +152,7 @@ std::vector< std::pair< double , double > > read_standard_persistence_file( cons std::ifstream in; in.open( filename ); - if ( !( access( filename, F_OK ) != -1 ) ) + if ( !in.good() ) { std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; @@ -204,13 +202,14 @@ std::vector< std::pair< double , double > > read_standard_persistence_file( cons std::vector< std::pair< double , double > > read_gudhi_persistence_file_in_one_dimension( const char* filename , size_t dimension = 0 , double what_to_substitute_for_infinite_bar = -1) { bool dbg = false; - if ( !( access( filename, F_OK ) != -1 ) ) + std::ifstream in; + in.open( filename ); + if ( !in.good() ) { std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; } - std::ifstream in; - in.open( filename ); + std::string line; std::vector< std::pair > barcode; @@ -279,7 +278,8 @@ std::vector< std::pair< double , double > > read_gudhi_persistence_file_in_one_d std::vector< std::vector< double > > read_numbers_from_file_line_by_line( const char* filename ) { bool dbg = false; - if ( !( access( filename, F_OK ) != -1 ) ) + std::ifstream in(filename); + if ( !in.good() ) { std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; @@ -288,7 +288,7 @@ std::vector< std::vector< double > > read_numbers_from_file_line_by_line( const std::vector< std::vector< double > > result; double number; - std::ifstream in(filename); + std::string line; while ( in.good() ) { @@ -325,17 +325,17 @@ std::vector< std::vector< double > > read_numbers_from_file_line_by_line( const std::vector> read_persistence_intervals_in_one_dimension_from_file(std::string const& filename, int dimension=-1 , double what_to_substitute_for_infinite_bar = -1 ) { bool dbg = false; - + std::ifstream in; + in.open( filename ); //checking if the file exist: - if ( !( access( filename.c_str() , F_OK ) != -1 ) ) + if ( !in.good() ) { std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; } - std::ifstream in; - in.open( filename ); + std::string line; std::vector< std::pair > barcode; @@ -352,8 +352,8 @@ std::vector> read_persistence_intervals_in_one_dimensio { //check how many entries we have in the line. std::stringstream ss( line ); - int number; - std::vector this_line; + double number; + std::vector this_line; while ( ss >> number ) { this_line.push_back( number ); diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/CMakeLists.txt b/src/Gudhi_stat/utilities/persistence_heat_maps/CMakeLists.txt index 39240db2..07903dda 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/CMakeLists.txt +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/CMakeLists.txt @@ -2,30 +2,40 @@ cmake_minimum_required(VERSION 2.6) project(GUDHI_STAT) #persitence heat maps -add_executable ( average_persistence_heat_maps average_persistence_heat_maps.cpp ) -target_link_libraries(average_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) add_executable ( create_persistence_heat_maps create_persistence_heat_maps.cpp ) target_link_libraries(create_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) - -add_executable ( plot_persistence_heat_map plot_persistence_heat_map.cpp ) -target_link_libraries(plot_persistence_heat_map ${Boost_SYSTEM_LIBRARY}) - -add_executable ( compute_distance_of_persistence_heat_maps compute_distance_of_persistence_heat_maps.cpp ) -target_link_libraries(compute_distance_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) - -add_executable ( compute_scalar_product_of_persistence_heat_maps compute_scalar_product_of_persistence_heat_maps.cpp ) -target_link_libraries(compute_scalar_product_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) +add_test ( create_persistence_heat_maps ${CMAKE_CURRENT_BINARY_DIR}/create_persistence_heat_maps 10 -1 -1 4 -1 ../../example/simple_diagram.txt ) add_executable ( create_pssk create_pssk.cpp ) target_link_libraries(create_pssk ${Boost_SYSTEM_LIBRARY}) +add_test ( create_pssk ${CMAKE_CURRENT_BINARY_DIR}/create_pssk 10 -1 -1 4 -1 ../../example/simple_diagram.txt ) -add_executable ( create_persistence_heat_maps_weighted_by_distance_from_diagonal create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp ) +add_executable ( create_persistence_heat_maps_weighted_by_distance_from_diagonal create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp ) target_link_libraries(create_persistence_heat_maps_weighted_by_distance_from_diagonal ${Boost_SYSTEM_LIBRARY}) +add_test ( create_persistence_heat_maps_weighted_by_distance_from_diagonal ${CMAKE_CURRENT_BINARY_DIR}/create_persistence_heat_maps_weighted_by_distance_from_diagonal 10 -1 -1 4 -1 ../../example/simple_diagram.txt ) add_executable ( create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp ) target_link_libraries(create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal ${Boost_SYSTEM_LIBRARY}) +add_test ( create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal ${CMAKE_CURRENT_BINARY_DIR}/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal 10 -1 -1 4 -1 ../../example/simple_diagram.txt ) add_executable ( create_persistence_heat_maps_weighted_by_arctan_of_their_persistence create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp ) target_link_libraries(create_persistence_heat_maps_weighted_by_arctan_of_their_persistence ${Boost_SYSTEM_LIBRARY}) +add_test ( create_persistence_heat_maps_weighted_by_arctan_of_their_persistence ${CMAKE_CURRENT_BINARY_DIR}/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence 10 -1 -1 4 -1 ../../example/simple_diagram.txt ) + +add_executable ( average_persistence_heat_maps average_persistence_heat_maps.cpp ) +target_link_libraries(average_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) +add_test ( average_persistence_heat_maps ${CMAKE_CURRENT_BINARY_DIR}/average_persistence_heat_maps simple_diagram.txt.mps simple_diagram.txt.mps ) + +add_executable ( plot_persistence_heat_map plot_persistence_heat_map.cpp ) +target_link_libraries(plot_persistence_heat_map ${Boost_SYSTEM_LIBRARY}) +add_test ( plot_persistence_heat_map ${CMAKE_CURRENT_BINARY_DIR}/plot_persistence_heat_map simple_diagram.txt.mps ) + +add_executable ( compute_distance_of_persistence_heat_maps compute_distance_of_persistence_heat_maps.cpp ) +target_link_libraries(compute_distance_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) +add_test ( compute_distance_of_persistence_heat_maps ${CMAKE_CURRENT_BINARY_DIR}/compute_distance_of_persistence_heat_maps 1 simple_diagram.txt.mps simple_diagram.txt.mps ) + +add_executable ( compute_scalar_product_of_persistence_heat_maps compute_scalar_product_of_persistence_heat_maps.cpp ) +target_link_libraries(compute_scalar_product_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) +add_test ( compute_scalar_product_of_persistence_heat_maps ${CMAKE_CURRENT_BINARY_DIR}/compute_scalar_product_of_persistence_heat_maps simple_diagram.txt.mps simple_diagram.txt.mps ) diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp index ecef449a..351cfd6f 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp @@ -62,8 +62,10 @@ int main( int argc , char** argv ) dimension = (unsigned)dim; } + //std::cout << "Parameters of the program : size_of_grid : " << size_of_grid << ", min_ : " << min_ << ", max_ : " << max_ << ", stdiv: " << stdiv << ", dim : " << dim << std::endl; + std::vector< const char* > filenames; - for ( int i = 6 ; i < argc ; ++i ) + for ( int i = 6 ; i != argc ; ++i ) { filenames.push_back( argv[i] ); } @@ -76,7 +78,7 @@ int main( int argc , char** argv ) for ( size_t i = 0 ; i != filenames.size() ; ++i ) { std::cout << "Creating a heat map based on a file : " << filenames[i] << std::endl; - Persistence_heat_maps l( filenames[i] , filter , size_of_grid , min_ , max_ , dimension ); + Persistence_heat_maps l( filenames[i] , filter , false , size_of_grid , min_ , max_ , dimension ); std::stringstream ss; ss << filenames[i] << ".mps"; diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp index 78989ccc..dfab5cdb 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp @@ -38,7 +38,6 @@ int main( int argc , char** argv ) std::cout << "The first parameter of a program is an integer, a size of a grid.\n"; std::cout << "The second and third parameters are min and max of the grid. If you want those numbers to be computed based on the data, set them both to -1 \n"; std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; - std::cerr << "The fourth parameter is an integer, the standard deviation of a gaussian kernel expressed in a number of pixels \n"; std::cout << "The fifth parameter of this program is a dimension of persistence that will be used in creation of the persistence heat maps."; std::cout << "If our input files contain persistence pairs of various dimension, as a fifth parameter of the procedure please provide the dimension of persistence you want to use."; std::cout << "If in your file there are only birth-death pairs of the same dimension, set the first parameter to -1." << std::endl; diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/simple_diagram.txt.mps b/src/Gudhi_stat/utilities/persistence_heat_maps/simple_diagram.txt.mps new file mode 100644 index 00000000..b7643887 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/simple_diagram.txt.mps @@ -0,0 +1,11 @@ +0.93 8.0707 +0.0492104 0.03889 0.0190956 0.00603584 0.00131569 0.000120934 2.10152e-05 0 0 0 +0.0650745 0.0539306 0.0296488 0.011745 0.00357642 0.000695928 0.000120934 0 0 0 +0.0572665 0.0559446 0.0409942 0.0230905 0.00937173 0.00242903 0.000422102 0 0 0 +0.0409942 0.0559656 0.0573874 0.0408475 0.0192639 0.00628964 0.00178718 0.000422102 0.000120934 2.10152e-05 +0.0296488 0.0540515 0.0657704 0.0519133 0.0283092 0.0132056 0.00628964 0.00242903 0.000695928 0.000120934 +0.0190956 0.0393121 0.0516395 0.0465955 0.0359385 0.0283092 0.0192639 0.00937173 0.00357642 0.00131569 +0.00847814 0.0188418 0.0281882 0.0358964 0.0465955 0.0519133 0.0408475 0.0230905 0.011745 0.00603584 +0.00242903 0.00628964 0.0132056 0.0281882 0.0516395 0.0657704 0.0573874 0.0409942 0.0296488 0.0190956 +0.000422102 0.00178718 0.00628964 0.0188418 0.0393121 0.0540515 0.0559656 0.0559446 0.0539306 0.03889 +0 0.000422102 0.00242903 0.00847814 0.0190956 0.0296488 0.0409942 0.0572665 0.0650745 0.0492104 diff --git a/src/Gudhi_stat/utilities/persistence_intervals/CMakeLists.txt b/src/Gudhi_stat/utilities/persistence_intervals/CMakeLists.txt index 9420a8ea..a317bd67 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/CMakeLists.txt +++ b/src/Gudhi_stat/utilities/persistence_intervals/CMakeLists.txt @@ -4,18 +4,23 @@ project(GUDHI_STAT) #persitence diagrams add_executable ( plot_persistence_intervals plot_persistence_intervals.cpp ) target_link_libraries( plot_persistence_intervals ${Boost_SYSTEM_LIBRARY}) +add_test ( plot_persistence_intervals ${CMAKE_CURRENT_BINARY_DIR}/plot_persistence_intervals ../../example/simple_diagram.txt ) add_executable ( compute_birth_death_range_in_persistence_diagram compute_birth_death_range_in_persistence_diagram.cpp ) target_link_libraries( compute_birth_death_range_in_persistence_diagram ${Boost_SYSTEM_LIBRARY}) +add_test ( compute_birth_death_range_in_persistence_diagram ${CMAKE_CURRENT_BINARY_DIR}/compute_birth_death_range_in_persistence_diagram -1 ../../example/simple_diagram.txt ) add_executable ( compute_number_of_dominant_intervals compute_number_of_dominant_intervals.cpp ) target_link_libraries( compute_number_of_dominant_intervals ${Boost_SYSTEM_LIBRARY}) +add_test ( compute_number_of_dominant_intervals ${CMAKE_CURRENT_BINARY_DIR}/compute_number_of_dominant_intervals ../../example/simple_diagram.txt -1 2 ) add_executable ( plot_histogram_of_intervals_lengths plot_histogram_of_intervals_lengths.cpp ) target_link_libraries( plot_histogram_of_intervals_lengths ${Boost_SYSTEM_LIBRARY}) +add_test ( plot_histogram_of_intervals_lengths ${CMAKE_CURRENT_BINARY_DIR}/plot_histogram_of_intervals_lengths ../../example/simple_diagram.txt 2 ) add_executable ( plot_persistence_Betti_numbers plot_persistence_Betti_numbers.cpp ) target_link_libraries( plot_persistence_Betti_numbers ${Boost_SYSTEM_LIBRARY}) +add_test ( plot_persistence_Betti_numbers ${CMAKE_CURRENT_BINARY_DIR}/plot_persistence_Betti_numbers ../../example/simple_diagram.txt ) if (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.8.1) add_executable ( compute_bottleneck_distance compute_bottleneck_distance.cpp ) @@ -23,5 +28,5 @@ target_link_libraries( compute_bottleneck_distance ${Boost_SYSTEM_LIBRARY}) if (TBB_FOUND) target_link_libraries(compute_bottleneck_distance ${TBB_LIBRARIES}) endif(TBB_FOUND) - +add_test ( compute_bottleneck_distance ${CMAKE_CURRENT_BINARY_DIR}/compute_bottleneck_distance ../../example/simple_diagram.txt ../../example/simple_diagram.txt ) endif (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.8.1) diff --git a/src/Gudhi_stat/utilities/persistence_intervals/compute_bottleneck_distance.cpp b/src/Gudhi_stat/utilities/persistence_intervals/compute_bottleneck_distance.cpp index d8b533cf..43929695 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/compute_bottleneck_distance.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/compute_bottleneck_distance.cpp @@ -64,9 +64,7 @@ int main( int argc , char** argv ) std::vector< Persistence_intervals_with_distances > persistence_intervals; for ( size_t i = 0 ; i != filenames.size() ; ++i ) { - Persistence_intervals_with_distances pers(filenames[i] , dimension ); - std::cerr << "perss : " << pers << std::endl; - getchar(); + Persistence_intervals_with_distances pers(filenames[i] , dimension ); persistence_intervals.push_back( pers ); } diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp index acfb0eed..994c6913 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp @@ -39,7 +39,7 @@ int main( int argc , char** argv ) if ( argc != 3 ) { std::cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n"; - std::cout << "The second parameter of a program is the dimension of the persistence that is to be used. If your file contains only birth-death pairs, you can skip this parameter\n"; + std::cout << "The third parameter of a program is the dimension of the persistence that is to be used. If your file contains only birth-death pairs, you can skip this parameter\n"; return 1; } unsigned dimension = std::numeric_limits::max(); diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/CMakeLists.txt b/src/Gudhi_stat/utilities/persistence_landscapes/CMakeLists.txt index 9caf73f6..9eda94a2 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/CMakeLists.txt +++ b/src/Gudhi_stat/utilities/persistence_landscapes/CMakeLists.txt @@ -4,18 +4,23 @@ project(GUDHI_STAT) #persitence landscapes -add_executable ( average_landscapes average_landscapes.cpp ) -target_link_libraries(average_landscapes ${Boost_SYSTEM_LIBRARY}) - add_executable ( create_landscapes create_landscapes.cpp ) target_link_libraries(create_landscapes ${Boost_SYSTEM_LIBRARY}) +add_test ( create_landscapes ${CMAKE_CURRENT_BINARY_DIR}/create_landscapes -1 ../../example/simple_diagram.txt ) + +add_executable ( average_landscapes average_landscapes.cpp ) +target_link_libraries(average_landscapes ${Boost_SYSTEM_LIBRARY}) +add_test ( average_landscapes ${CMAKE_CURRENT_BINARY_DIR}/average_landscapes simple_diagram.txt.land simple_diagram.txt.land simple_diagram.txt.land ) add_executable ( plot_landscapes plot_landscapes.cpp ) target_link_libraries(plot_landscapes ${Boost_SYSTEM_LIBRARY}) +add_test ( plot_landscapes ${CMAKE_CURRENT_BINARY_DIR}/plot_landscapes simple_diagram.txt.land ) add_executable ( compute_distance_of_landscapes compute_distance_of_landscapes.cpp ) target_link_libraries(compute_distance_of_landscapes ${Boost_SYSTEM_LIBRARY}) +add_test ( compute_distance_of_landscapes ${CMAKE_CURRENT_BINARY_DIR}/compute_distance_of_landscapes 1 simple_diagram.txt.land simple_diagram.txt.land ) add_executable ( compute_scalar_product_of_landscapes compute_scalar_product_of_landscapes.cpp ) target_link_libraries(compute_scalar_product_of_landscapes ${Boost_SYSTEM_LIBRARY}) +add_test ( compute_scalar_product_of_landscapes ${CMAKE_CURRENT_BINARY_DIR}/compute_scalar_product_of_landscapes simple_diagram.txt.land simple_diagram.txt.land ) diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/simple_diagram.txt.land b/src/Gudhi_stat/utilities/persistence_landscapes/simple_diagram.txt.land new file mode 100644 index 00000000..b99d2f62 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_landscapes/simple_diagram.txt.land @@ -0,0 +1,13 @@ +#lambda_0 +1 0 +1.5 0.5 +2 0 +3 0 +3.5 0.5 +4 0 +5 0 +5.5 0.5 +6 0 +7 0 +7.5 0.5 +8 0 diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/CMakeLists.txt b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/CMakeLists.txt index bb7c3987..639b3d3d 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/CMakeLists.txt +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/CMakeLists.txt @@ -5,18 +5,23 @@ project(GUDHI_STAT) #persitence landscapes on a grid -add_executable ( average_landscapes_on_grid average_landscapes_on_grid.cpp ) -target_link_libraries(average_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) - add_executable ( create_landscapes_on_grid create_landscapes_on_grid.cpp ) target_link_libraries(create_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) +add_test ( create_landscapes_on_grid ${CMAKE_CURRENT_BINARY_DIR}/create_landscapes_on_grid 100 -1 -1 -1 ../../example/simple_diagram.txt ) + +add_executable ( average_landscapes_on_grid average_landscapes_on_grid.cpp ) +target_link_libraries(average_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) +add_test ( average_landscapes_on_grid ${CMAKE_CURRENT_BINARY_DIR}/average_landscapes_on_grid simple_diagram.txt.g_land simple_diagram.txt.g_land ) add_executable ( plot_landscapes_on_grid plot_landscapes_on_grid.cpp ) target_link_libraries(plot_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) +add_test ( plot_landscapes_on_grid ${CMAKE_CURRENT_BINARY_DIR}/plot_landscapes_on_grid simple_diagram.txt.g_land simple_diagram.txt.g_land ) add_executable ( compute_distance_of_landscapes_on_grid compute_distance_of_landscapes_on_grid.cpp ) target_link_libraries(compute_distance_of_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) +add_test ( compute_distance_of_landscapes_on_grids ${CMAKE_CURRENT_BINARY_DIR}/compute_distance_of_landscapes_on_grid simple_diagram.txt.g_land simple_diagram.txt.g_land ) add_executable ( compute_scalar_product_of_landscapes_on_grid compute_scalar_product_of_landscapes_on_grid.cpp ) target_link_libraries(compute_scalar_product_of_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) +add_test ( compute_scalar_product_of_landscapes_on_grid ${CMAKE_CURRENT_BINARY_DIR}/compute_scalar_product_of_landscapes_on_grid simple_diagram.txt.g_land simple_diagram.txt.g_land ) diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/simple_diagram.txt.g_land b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/simple_diagram.txt.g_land new file mode 100644 index 00000000..dc53b932 --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/simple_diagram.txt.g_land @@ -0,0 +1,104 @@ +1 +8 +101 + +0.07 +0.14 +0.21 +0.28 +0.35 +0.42 +0.49 +0.42 +0.35 +0.28 +0.21 +0.14 +0.07 + + + + + + + + + + + + + + + +0.07 +0.14 +0.21 +0.28 +0.35 +0.42 +0.49 +0.42 +0.35 +0.28 +0.21 +0.14 +0.07 + + + + + + + + + + + + + + + + +0.07 +0.14 +0.21 +0.28 +0.35 +0.42 +0.49 +0.42 +0.35 +0.28 +0.21 +0.14 +0.07 + + + + + + + + + + + + + + + +0.07 +0.14 +0.21 +0.28 +0.35 +0.42 +0.49 +0.42 +0.35 +0.28 +0.21 +0.14 +0.07 + + diff --git a/src/Gudhi_stat/utilities/persistence_vectors/CMakeLists.txt b/src/Gudhi_stat/utilities/persistence_vectors/CMakeLists.txt index ebf4898e..25742c2e 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/CMakeLists.txt +++ b/src/Gudhi_stat/utilities/persistence_vectors/CMakeLists.txt @@ -2,19 +2,24 @@ cmake_minimum_required(VERSION 2.6) project(GUDHI_STAT) #persitence vectors -add_executable ( average_persistence_vectors average_persistence_vectors.cpp ) -target_link_libraries(average_persistence_vectors ${Boost_SYSTEM_LIBRARY}) - add_executable ( create_persistence_vectors create_persistence_vectors.cpp ) target_link_libraries(create_persistence_vectors ${Boost_SYSTEM_LIBRARY}) +add_test ( create_persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/create_persistence_vectors -1 ../../example/simple_diagram.txt ) + +add_executable ( average_persistence_vectors average_persistence_vectors.cpp ) +target_link_libraries(average_persistence_vectors ${Boost_SYSTEM_LIBRARY}) +add_test ( average_persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/average_persistence_vectors simple_diagram.txt.vect simple_diagram.txt.vect ) add_executable ( compute_distance_of_persistence_vectors compute_distance_of_persistence_vectors.cpp ) target_link_libraries(compute_distance_of_persistence_vectors ${Boost_SYSTEM_LIBRARY}) +add_test ( compute_distance_of_persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/compute_distance_of_persistence_vectors -1 simple_diagram.txt.vect simple_diagram.txt.vect ) add_executable ( compute_scalar_product_of_persistence_vectors compute_scalar_product_of_persistence_vectors.cpp ) target_link_libraries(compute_scalar_product_of_persistence_vectors ${Boost_SYSTEM_LIBRARY}) +add_test ( compute_scalar_product_of_persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/compute_scalar_product_of_persistence_vectors simple_diagram.txt.vect simple_diagram.txt.vect ) add_executable ( plot_persistence_vectors plot_persistence_vectors.cpp ) target_link_libraries(plot_persistence_vectors ${Boost_SYSTEM_LIBRARY}) +add_test ( plot_persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/plot_persistence_vectors simple_diagram.txt.vect ) diff --git a/src/Gudhi_stat/utilities/persistence_vectors/simple_diagram.txt.vect b/src/Gudhi_stat/utilities/persistence_vectors/simple_diagram.txt.vect new file mode 100644 index 00000000..1d4eeaaf --- /dev/null +++ b/src/Gudhi_stat/utilities/persistence_vectors/simple_diagram.txt.vect @@ -0,0 +1 @@ +0.707107 0.707107 0.707107 0.707107 0.707107 0.707107 0.707107 0.707107 0.707107 0.707107 \ No newline at end of file diff --git a/src/Gudhi_stat/utilities/sliding_window_embedding.cpp b/src/Gudhi_stat/utilities/sliding_window_embedding.cpp index 1373b52c..84e8f827 100644 --- a/src/Gudhi_stat/utilities/sliding_window_embedding.cpp +++ b/src/Gudhi_stat/utilities/sliding_window_embedding.cpp @@ -5,7 +5,6 @@ #include #include #include -#include #include #include -- cgit v1.2.3 From 468f2721cd2f466281684982e7ac061f4fd568cf Mon Sep 17 00:00:00 2001 From: pdlotko Date: Thu, 20 Apr 2017 13:38:43 +0000 Subject: fising the problems with tests. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@2371 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 77267b782ab7fa52172d10d84885a43ec182e436 --- src/Gudhi_stat/example/CMakeLists.txt | 5 +++++ src/Gudhi_stat/test/CMakeLists.txt | 11 ++++++----- .../test/data/average_of_persistence_vectors | 2 +- .../utilities/persistence_heat_maps/CMakeLists.txt | 19 ++++++++++--------- .../utilities/persistence_intervals/CMakeLists.txt | 12 ++++++------ .../utilities/persistence_landscapes/CMakeLists.txt | 10 +++++----- .../persistence_landscapes_on_grid/CMakeLists.txt | 10 +++++----- .../utilities/persistence_vectors/CMakeLists.txt | 10 +++++----- 8 files changed, 43 insertions(+), 36 deletions(-) (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/CMakeLists.txt b/src/Gudhi_stat/example/CMakeLists.txt index 2df9d5a4..3c783d36 100644 --- a/src/Gudhi_stat/example/CMakeLists.txt +++ b/src/Gudhi_stat/example/CMakeLists.txt @@ -1,22 +1,27 @@ cmake_minimum_required(VERSION 2.6) project(GUDHI_STAT) +file(COPY "simple_diagram.txt" DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/) add_executable ( persistence_landscape_on_grid persistence_landscape_on_grid.cpp ) target_link_libraries(persistence_landscape_on_grid ${Boost_SYSTEM_LIBRARY}) add_test ( persistence_landscape_on_grid ${CMAKE_CURRENT_BINARY_DIR}/persistence_landscape_on_grid ) +file(COPY "simple_diagram.txt" DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/) add_executable ( persistence_landscape persistence_landscape.cpp ) target_link_libraries(persistence_landscape ${Boost_SYSTEM_LIBRARY}) add_test ( persistence_landscape ${CMAKE_CURRENT_BINARY_DIR}/persistence_landscape ) +file(COPY "simple_diagram.txt" DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/) add_executable ( persistence_intervals persistence_intervals.cpp ) target_link_libraries(persistence_intervals ${Boost_SYSTEM_LIBRARY}) add_test ( persistence_intervals ${CMAKE_CURRENT_BINARY_DIR}/persistence_intervals simple_diagram.txt ) +file(COPY "simple_diagram.txt" DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/) add_executable ( persistence_vectors persistence_vectors.cpp ) target_link_libraries(persistence_vectors ${Boost_SYSTEM_LIBRARY}) add_test ( persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/persistence_vectors ) +file(COPY "simple_diagram.txt" DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/) add_executable ( persistence_heat_maps persistence_heat_maps.cpp ) target_link_libraries(persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) add_test ( persistence_heat_maps ${CMAKE_CURRENT_BINARY_DIR}/persistence_heat_maps ) diff --git a/src/Gudhi_stat/test/CMakeLists.txt b/src/Gudhi_stat/test/CMakeLists.txt index f621efe0..35231e83 100644 --- a/src/Gudhi_stat/test/CMakeLists.txt +++ b/src/Gudhi_stat/test/CMakeLists.txt @@ -19,6 +19,7 @@ file(COPY data DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/) # Do not forget to copy test files in current binary dir file(COPY "${CMAKE_SOURCE_DIR}/src/Gudhi_stat/test/data" DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/) +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} ${Boost_UNIT_TEST_FRAMEWORK_LIBRARY}) @@ -30,7 +31,7 @@ add_test(NAME persistence_intervals_test # XML format for Jenkins xUnit plugin --log_format=XML --log_sink=${CMAKE_SOURCE_DIR}/persistence_intervals_UT.xml --log_level=test_suite --report_level=no) - +file(COPY data DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/) add_executable ( vector_representation_test vector_representation_test.cpp ) target_link_libraries(vector_representation_test ${Boost_SYSTEM_LIBRARY} ${Boost_UNIT_TEST_FRAMEWORK_LIBRARY}) @@ -41,7 +42,7 @@ add_test(NAME vector_representation_test # XML format for Jenkins xUnit plugin --log_format=XML --log_sink=${CMAKE_SOURCE_DIR}/vector_representation_UT.xml --log_level=test_suite --report_level=no) - +file(COPY data DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/) add_executable ( persistence_lanscapes_test persistence_lanscapes_test.cpp ) target_link_libraries(persistence_lanscapes_test ${Boost_SYSTEM_LIBRARY} ${Boost_UNIT_TEST_FRAMEWORK_LIBRARY}) @@ -52,7 +53,7 @@ add_test(NAME persistence_lanscapes_test # XML format for Jenkins xUnit plugin --log_format=XML --log_sink=${CMAKE_SOURCE_DIR}/persistence_lanscapes_UT.xml --log_level=test_suite --report_level=no) - +file(COPY data DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/) add_executable ( persistence_lanscapes_on_grid_test persistence_lanscapes_on_grid_test.cpp ) target_link_libraries(persistence_lanscapes_on_grid_test ${Boost_SYSTEM_LIBRARY} ${Boost_UNIT_TEST_FRAMEWORK_LIBRARY}) @@ -63,7 +64,7 @@ add_test(NAME persistence_lanscapes_on_grid_test # XML format for Jenkins xUnit plugin --log_format=XML --log_sink=${CMAKE_SOURCE_DIR}/persistence_lanscapes_on_grid_UT.xml --log_level=test_suite --report_level=no) - +file(COPY data DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/) add_executable ( persistence_heat_maps_test persistence_heat_maps_test.cpp ) target_link_libraries(persistence_heat_maps_test ${Boost_SYSTEM_LIBRARY} ${Boost_UNIT_TEST_FRAMEWORK_LIBRARY}) @@ -74,7 +75,7 @@ add_test(NAME persistence_heat_maps_test # XML format for Jenkins xUnit plugin --log_format=XML --log_sink=${CMAKE_SOURCE_DIR}/persistence_heat_maps_UT.xml --log_level=test_suite --report_level=no) - +file(COPY data DESTINATION ${CMAKE_CURRENT_BINARY_DIR}/) 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}) diff --git a/src/Gudhi_stat/test/data/average_of_persistence_vectors b/src/Gudhi_stat/test/data/average_of_persistence_vectors index c7078160..e95181d4 100644 --- a/src/Gudhi_stat/test/data/average_of_persistence_vectors +++ b/src/Gudhi_stat/test/data/average_of_persistence_vectors @@ -1 +1 @@ -3.53553 3.53553 2.82843 0.707107 0.707107 0.707107 \ No newline at end of file +3.53553 3.53553 2.82843 0.707107 0.707107 0.707107 diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/CMakeLists.txt b/src/Gudhi_stat/utilities/persistence_heat_maps/CMakeLists.txt index 07903dda..eaec61a7 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/CMakeLists.txt +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/CMakeLists.txt @@ -5,37 +5,38 @@ project(GUDHI_STAT) add_executable ( create_persistence_heat_maps create_persistence_heat_maps.cpp ) target_link_libraries(create_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) -add_test ( create_persistence_heat_maps ${CMAKE_CURRENT_BINARY_DIR}/create_persistence_heat_maps 10 -1 -1 4 -1 ../../example/simple_diagram.txt ) +#add_test ( create_persistence_heat_maps ${CMAKE_CURRENT_BINARY_DIR}/create_persistence_heat_maps 10 -1 -1 4 -1 simple_diagram.txt ) +add_test ( create_persistence_heat_maps ${CMAKE_CURRENT_BINARY_DIR}/create_persistence_heat_maps 10 -1 -1 4 -1 "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" ) add_executable ( create_pssk create_pssk.cpp ) target_link_libraries(create_pssk ${Boost_SYSTEM_LIBRARY}) -add_test ( create_pssk ${CMAKE_CURRENT_BINARY_DIR}/create_pssk 10 -1 -1 4 -1 ../../example/simple_diagram.txt ) +add_test ( create_pssk ${CMAKE_CURRENT_BINARY_DIR}/create_pssk 10 -1 -1 4 -1 "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" ) add_executable ( create_persistence_heat_maps_weighted_by_distance_from_diagonal create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp ) target_link_libraries(create_persistence_heat_maps_weighted_by_distance_from_diagonal ${Boost_SYSTEM_LIBRARY}) -add_test ( create_persistence_heat_maps_weighted_by_distance_from_diagonal ${CMAKE_CURRENT_BINARY_DIR}/create_persistence_heat_maps_weighted_by_distance_from_diagonal 10 -1 -1 4 -1 ../../example/simple_diagram.txt ) +add_test ( create_persistence_heat_maps_weighted_by_distance_from_diagonal ${CMAKE_CURRENT_BINARY_DIR}/create_persistence_heat_maps_weighted_by_distance_from_diagonal 10 -1 -1 4 -1 "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" ) add_executable ( create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp ) target_link_libraries(create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal ${Boost_SYSTEM_LIBRARY}) -add_test ( create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal ${CMAKE_CURRENT_BINARY_DIR}/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal 10 -1 -1 4 -1 ../../example/simple_diagram.txt ) +add_test ( create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal ${CMAKE_CURRENT_BINARY_DIR}/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal 10 -1 -1 4 -1 "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" ) add_executable ( create_persistence_heat_maps_weighted_by_arctan_of_their_persistence create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp ) target_link_libraries(create_persistence_heat_maps_weighted_by_arctan_of_their_persistence ${Boost_SYSTEM_LIBRARY}) -add_test ( create_persistence_heat_maps_weighted_by_arctan_of_their_persistence ${CMAKE_CURRENT_BINARY_DIR}/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence 10 -1 -1 4 -1 ../../example/simple_diagram.txt ) +add_test ( create_persistence_heat_maps_weighted_by_arctan_of_their_persistence ${CMAKE_CURRENT_BINARY_DIR}/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence 10 -1 -1 4 -1 "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" ) add_executable ( average_persistence_heat_maps average_persistence_heat_maps.cpp ) target_link_libraries(average_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) -add_test ( average_persistence_heat_maps ${CMAKE_CURRENT_BINARY_DIR}/average_persistence_heat_maps simple_diagram.txt.mps simple_diagram.txt.mps ) +add_test ( average_persistence_heat_maps ${CMAKE_CURRENT_BINARY_DIR}/average_persistence_heat_maps "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" ) add_executable ( plot_persistence_heat_map plot_persistence_heat_map.cpp ) target_link_libraries(plot_persistence_heat_map ${Boost_SYSTEM_LIBRARY}) -add_test ( plot_persistence_heat_map ${CMAKE_CURRENT_BINARY_DIR}/plot_persistence_heat_map simple_diagram.txt.mps ) +add_test ( plot_persistence_heat_map ${CMAKE_CURRENT_BINARY_DIR}/plot_persistence_heat_map "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" ) add_executable ( compute_distance_of_persistence_heat_maps compute_distance_of_persistence_heat_maps.cpp ) target_link_libraries(compute_distance_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) -add_test ( compute_distance_of_persistence_heat_maps ${CMAKE_CURRENT_BINARY_DIR}/compute_distance_of_persistence_heat_maps 1 simple_diagram.txt.mps simple_diagram.txt.mps ) +add_test ( compute_distance_of_persistence_heat_maps ${CMAKE_CURRENT_BINARY_DIR}/compute_distance_of_persistence_heat_maps 1 "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" ) add_executable ( compute_scalar_product_of_persistence_heat_maps compute_scalar_product_of_persistence_heat_maps.cpp ) target_link_libraries(compute_scalar_product_of_persistence_heat_maps ${Boost_SYSTEM_LIBRARY}) -add_test ( compute_scalar_product_of_persistence_heat_maps ${CMAKE_CURRENT_BINARY_DIR}/compute_scalar_product_of_persistence_heat_maps simple_diagram.txt.mps simple_diagram.txt.mps ) +add_test ( compute_scalar_product_of_persistence_heat_maps ${CMAKE_CURRENT_BINARY_DIR}/compute_scalar_product_of_persistence_heat_maps "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" ) diff --git a/src/Gudhi_stat/utilities/persistence_intervals/CMakeLists.txt b/src/Gudhi_stat/utilities/persistence_intervals/CMakeLists.txt index a317bd67..b5c5928d 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/CMakeLists.txt +++ b/src/Gudhi_stat/utilities/persistence_intervals/CMakeLists.txt @@ -4,23 +4,23 @@ project(GUDHI_STAT) #persitence diagrams add_executable ( plot_persistence_intervals plot_persistence_intervals.cpp ) target_link_libraries( plot_persistence_intervals ${Boost_SYSTEM_LIBRARY}) -add_test ( plot_persistence_intervals ${CMAKE_CURRENT_BINARY_DIR}/plot_persistence_intervals ../../example/simple_diagram.txt ) +add_test ( plot_persistence_intervals ${CMAKE_CURRENT_BINARY_DIR}/plot_persistence_intervals "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" ) add_executable ( compute_birth_death_range_in_persistence_diagram compute_birth_death_range_in_persistence_diagram.cpp ) target_link_libraries( compute_birth_death_range_in_persistence_diagram ${Boost_SYSTEM_LIBRARY}) -add_test ( compute_birth_death_range_in_persistence_diagram ${CMAKE_CURRENT_BINARY_DIR}/compute_birth_death_range_in_persistence_diagram -1 ../../example/simple_diagram.txt ) +add_test ( compute_birth_death_range_in_persistence_diagram ${CMAKE_CURRENT_BINARY_DIR}/compute_birth_death_range_in_persistence_diagram -1 "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" ) add_executable ( compute_number_of_dominant_intervals compute_number_of_dominant_intervals.cpp ) target_link_libraries( compute_number_of_dominant_intervals ${Boost_SYSTEM_LIBRARY}) -add_test ( compute_number_of_dominant_intervals ${CMAKE_CURRENT_BINARY_DIR}/compute_number_of_dominant_intervals ../../example/simple_diagram.txt -1 2 ) +add_test ( compute_number_of_dominant_intervals ${CMAKE_CURRENT_BINARY_DIR}/compute_number_of_dominant_intervals "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" -1 2 ) add_executable ( plot_histogram_of_intervals_lengths plot_histogram_of_intervals_lengths.cpp ) target_link_libraries( plot_histogram_of_intervals_lengths ${Boost_SYSTEM_LIBRARY}) -add_test ( plot_histogram_of_intervals_lengths ${CMAKE_CURRENT_BINARY_DIR}/plot_histogram_of_intervals_lengths ../../example/simple_diagram.txt 2 ) +add_test ( plot_histogram_of_intervals_lengths ${CMAKE_CURRENT_BINARY_DIR}/plot_histogram_of_intervals_lengths "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" 2 ) add_executable ( plot_persistence_Betti_numbers plot_persistence_Betti_numbers.cpp ) target_link_libraries( plot_persistence_Betti_numbers ${Boost_SYSTEM_LIBRARY}) -add_test ( plot_persistence_Betti_numbers ${CMAKE_CURRENT_BINARY_DIR}/plot_persistence_Betti_numbers ../../example/simple_diagram.txt ) +add_test ( plot_persistence_Betti_numbers ${CMAKE_CURRENT_BINARY_DIR}/plot_persistence_Betti_numbers "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" ) if (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.8.1) add_executable ( compute_bottleneck_distance compute_bottleneck_distance.cpp ) @@ -28,5 +28,5 @@ target_link_libraries( compute_bottleneck_distance ${Boost_SYSTEM_LIBRARY}) if (TBB_FOUND) target_link_libraries(compute_bottleneck_distance ${TBB_LIBRARIES}) endif(TBB_FOUND) -add_test ( compute_bottleneck_distance ${CMAKE_CURRENT_BINARY_DIR}/compute_bottleneck_distance ../../example/simple_diagram.txt ../../example/simple_diagram.txt ) +add_test ( compute_bottleneck_distance ${CMAKE_CURRENT_BINARY_DIR}/compute_bottleneck_distance "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" ) endif (NOT CGAL_WITH_EIGEN3_VERSION VERSION_LESS 4.8.1) diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/CMakeLists.txt b/src/Gudhi_stat/utilities/persistence_landscapes/CMakeLists.txt index 9eda94a2..43533102 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/CMakeLists.txt +++ b/src/Gudhi_stat/utilities/persistence_landscapes/CMakeLists.txt @@ -6,21 +6,21 @@ project(GUDHI_STAT) #persitence landscapes add_executable ( create_landscapes create_landscapes.cpp ) target_link_libraries(create_landscapes ${Boost_SYSTEM_LIBRARY}) -add_test ( create_landscapes ${CMAKE_CURRENT_BINARY_DIR}/create_landscapes -1 ../../example/simple_diagram.txt ) +add_test ( create_landscapes ${CMAKE_CURRENT_BINARY_DIR}/create_landscapes -1 "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" ) add_executable ( average_landscapes average_landscapes.cpp ) target_link_libraries(average_landscapes ${Boost_SYSTEM_LIBRARY}) -add_test ( average_landscapes ${CMAKE_CURRENT_BINARY_DIR}/average_landscapes simple_diagram.txt.land simple_diagram.txt.land simple_diagram.txt.land ) +add_test ( average_landscapes ${CMAKE_CURRENT_BINARY_DIR}/average_landscapes "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.land" "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.land" ) add_executable ( plot_landscapes plot_landscapes.cpp ) target_link_libraries(plot_landscapes ${Boost_SYSTEM_LIBRARY}) -add_test ( plot_landscapes ${CMAKE_CURRENT_BINARY_DIR}/plot_landscapes simple_diagram.txt.land ) +add_test ( plot_landscapes ${CMAKE_CURRENT_BINARY_DIR}/plot_landscapes "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.land" ) add_executable ( compute_distance_of_landscapes compute_distance_of_landscapes.cpp ) target_link_libraries(compute_distance_of_landscapes ${Boost_SYSTEM_LIBRARY}) -add_test ( compute_distance_of_landscapes ${CMAKE_CURRENT_BINARY_DIR}/compute_distance_of_landscapes 1 simple_diagram.txt.land simple_diagram.txt.land ) +add_test ( compute_distance_of_landscapes ${CMAKE_CURRENT_BINARY_DIR}/compute_distance_of_landscapes 1 "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.land" "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.land" ) add_executable ( compute_scalar_product_of_landscapes compute_scalar_product_of_landscapes.cpp ) target_link_libraries(compute_scalar_product_of_landscapes ${Boost_SYSTEM_LIBRARY}) -add_test ( compute_scalar_product_of_landscapes ${CMAKE_CURRENT_BINARY_DIR}/compute_scalar_product_of_landscapes simple_diagram.txt.land simple_diagram.txt.land ) +add_test ( compute_scalar_product_of_landscapes ${CMAKE_CURRENT_BINARY_DIR}/compute_scalar_product_of_landscapes "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.land" "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.land" ) diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/CMakeLists.txt b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/CMakeLists.txt index 639b3d3d..f1ef144b 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/CMakeLists.txt +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/CMakeLists.txt @@ -7,21 +7,21 @@ project(GUDHI_STAT) #persitence landscapes on a grid add_executable ( create_landscapes_on_grid create_landscapes_on_grid.cpp ) target_link_libraries(create_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) -add_test ( create_landscapes_on_grid ${CMAKE_CURRENT_BINARY_DIR}/create_landscapes_on_grid 100 -1 -1 -1 ../../example/simple_diagram.txt ) +add_test ( create_landscapes_on_grid ${CMAKE_CURRENT_BINARY_DIR}/create_landscapes_on_grid 100 -1 -1 -1 "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" ) add_executable ( average_landscapes_on_grid average_landscapes_on_grid.cpp ) target_link_libraries(average_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) -add_test ( average_landscapes_on_grid ${CMAKE_CURRENT_BINARY_DIR}/average_landscapes_on_grid simple_diagram.txt.g_land simple_diagram.txt.g_land ) +add_test ( average_landscapes_on_grid ${CMAKE_CURRENT_BINARY_DIR}/average_landscapes_on_grid "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.g_land" "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.g_land" ) add_executable ( plot_landscapes_on_grid plot_landscapes_on_grid.cpp ) target_link_libraries(plot_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) -add_test ( plot_landscapes_on_grid ${CMAKE_CURRENT_BINARY_DIR}/plot_landscapes_on_grid simple_diagram.txt.g_land simple_diagram.txt.g_land ) +add_test ( plot_landscapes_on_grid ${CMAKE_CURRENT_BINARY_DIR}/plot_landscapes_on_grid "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.g_land" ) add_executable ( compute_distance_of_landscapes_on_grid compute_distance_of_landscapes_on_grid.cpp ) target_link_libraries(compute_distance_of_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) -add_test ( compute_distance_of_landscapes_on_grids ${CMAKE_CURRENT_BINARY_DIR}/compute_distance_of_landscapes_on_grid simple_diagram.txt.g_land simple_diagram.txt.g_land ) +add_test ( compute_distance_of_landscapes_on_grids ${CMAKE_CURRENT_BINARY_DIR}/compute_distance_of_landscapes_on_grid "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.g_land" "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.g_land" ) add_executable ( compute_scalar_product_of_landscapes_on_grid compute_scalar_product_of_landscapes_on_grid.cpp ) target_link_libraries(compute_scalar_product_of_landscapes_on_grid ${Boost_SYSTEM_LIBRARY}) -add_test ( compute_scalar_product_of_landscapes_on_grid ${CMAKE_CURRENT_BINARY_DIR}/compute_scalar_product_of_landscapes_on_grid simple_diagram.txt.g_land simple_diagram.txt.g_land ) +add_test ( compute_scalar_product_of_landscapes_on_grid ${CMAKE_CURRENT_BINARY_DIR}/compute_scalar_product_of_landscapes_on_grid "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.g_land" "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.g_land" ) diff --git a/src/Gudhi_stat/utilities/persistence_vectors/CMakeLists.txt b/src/Gudhi_stat/utilities/persistence_vectors/CMakeLists.txt index 25742c2e..8033e27a 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/CMakeLists.txt +++ b/src/Gudhi_stat/utilities/persistence_vectors/CMakeLists.txt @@ -4,22 +4,22 @@ project(GUDHI_STAT) #persitence vectors add_executable ( create_persistence_vectors create_persistence_vectors.cpp ) target_link_libraries(create_persistence_vectors ${Boost_SYSTEM_LIBRARY}) -add_test ( create_persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/create_persistence_vectors -1 ../../example/simple_diagram.txt ) +add_test ( create_persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/create_persistence_vectors -1 "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt" ) add_executable ( average_persistence_vectors average_persistence_vectors.cpp ) target_link_libraries(average_persistence_vectors ${Boost_SYSTEM_LIBRARY}) -add_test ( average_persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/average_persistence_vectors simple_diagram.txt.vect simple_diagram.txt.vect ) +add_test ( average_persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/average_persistence_vectors "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.vect" "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.vect" ) add_executable ( compute_distance_of_persistence_vectors compute_distance_of_persistence_vectors.cpp ) target_link_libraries(compute_distance_of_persistence_vectors ${Boost_SYSTEM_LIBRARY}) -add_test ( compute_distance_of_persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/compute_distance_of_persistence_vectors -1 simple_diagram.txt.vect simple_diagram.txt.vect ) +add_test ( compute_distance_of_persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/compute_distance_of_persistence_vectors -1 "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.vect" "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.vect" ) add_executable ( compute_scalar_product_of_persistence_vectors compute_scalar_product_of_persistence_vectors.cpp ) target_link_libraries(compute_scalar_product_of_persistence_vectors ${Boost_SYSTEM_LIBRARY}) -add_test ( compute_scalar_product_of_persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/compute_scalar_product_of_persistence_vectors simple_diagram.txt.vect simple_diagram.txt.vect ) +add_test ( compute_scalar_product_of_persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/compute_scalar_product_of_persistence_vectors "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.vect" "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.vect" ) add_executable ( plot_persistence_vectors plot_persistence_vectors.cpp ) target_link_libraries(plot_persistence_vectors ${Boost_SYSTEM_LIBRARY}) -add_test ( plot_persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/plot_persistence_vectors simple_diagram.txt.vect ) +add_test ( plot_persistence_vectors ${CMAKE_CURRENT_BINARY_DIR}/plot_persistence_vectors "${CMAKE_SOURCE_DIR}/data/persistence_diagram/simple_diagram.txt.vect" ) -- cgit v1.2.3 From aa2c2318ea1c6f8eef50aee6f98ade3ea0ae5ca1 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Thu, 27 Apr 2017 14:41:27 +0000 Subject: initial preparation to change the name of the package. git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@2382 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 3648a6470eca09c85b60802148cc1e2462b92f79 --- .../doc/Persistence_representations_doc.h | 202 +++ src/Gudhi_stat/doc/gudhi_stat_doc.h | 202 --- src/Gudhi_stat/example/persistence_heat_maps.cpp | 4 +- src/Gudhi_stat/example/persistence_intervals.cpp | 4 +- src/Gudhi_stat/example/persistence_landscape.cpp | 4 +- .../example/persistence_landscape_on_grid.cpp | 4 +- src/Gudhi_stat/example/persistence_vectors.cpp | 4 +- src/Gudhi_stat/include/gudhi/PSSK.h | 181 +++ .../include/gudhi/Persistence_heat_maps.h | 1040 +++++++++++++ .../include/gudhi/Persistence_intervals.h | 697 +++++++++ .../gudhi/Persistence_intervals_with_distances.h | 65 + .../include/gudhi/Persistence_landscape.h | 1503 +++++++++++++++++++ .../include/gudhi/Persistence_landscape_on_grid.h | 1560 ++++++++++++++++++++ src/Gudhi_stat/include/gudhi/common_gudhi_stat.h | 154 -- .../gudhi/common_persistence_representations.h | 154 ++ .../include/gudhi/multiplicative_bootstrap.h | 8 +- .../gudhi/persistence_representations/PSSK.h | 181 --- .../Persistence_heat_maps.h | 1040 ------------- .../Persistence_intervals.h | 697 --------- .../Persistence_intervals_with_distances.h | 65 - .../Persistence_landscape.h | 1503 ------------------- .../Persistence_landscape_on_grid.h | 1560 -------------------- .../persistence_vectors.h | 775 ---------- src/Gudhi_stat/include/gudhi/persistence_vectors.h | 775 ++++++++++ .../include/gudhi/read_persistence_from_file.h | 2 +- src/Gudhi_stat/include/gudhi/topological_process.h | 12 +- src/Gudhi_stat/test/persistence_heat_maps_test.cpp | 4 +- src/Gudhi_stat/test/persistence_intervals_test.cpp | 4 +- .../test/persistence_lanscapes_on_grid_test.cpp | 4 +- src/Gudhi_stat/test/persistence_lanscapes_test.cpp | 4 +- .../test/read_persistence_from_file_test.cpp | 2 +- src/Gudhi_stat/test/vector_representation_test.cpp | 6 +- src/Gudhi_stat/utilities/Hausdorff_subsampling.cpp | 3 +- src/Gudhi_stat/utilities/Landscape_bootstrap.cpp | 11 +- .../utilities/Multiplicative_bootstrap.cpp | 3 +- src/Gudhi_stat/utilities/permutation_test.cpp | 3 +- .../average_persistence_heat_maps.cpp | 4 +- .../compute_distance_of_persistence_heat_maps.cpp | 4 +- ...ute_scalar_product_of_persistence_heat_maps.cpp | 4 +- .../create_persistence_heat_maps.cpp | 4 +- ...aps_weighted_by_arctan_of_their_persistence.cpp | 4 +- ...eat_maps_weighted_by_distance_from_diagonal.cpp | 4 +- ..._weighted_by_squared_distance_from_diagonal.cpp | 4 +- .../persistence_heat_maps/create_pssk.cpp | 4 +- .../plot_persistence_heat_map.cpp | 4 +- ...te_birth_death_range_in_persistence_diagram.cpp | 4 +- .../compute_bottleneck_distance.cpp | 4 +- .../compute_number_of_dominant_intervals.cpp | 4 +- .../plot_histogram_of_intervals_lengths.cpp | 4 +- .../plot_persistence_Betti_numbers.cpp | 4 +- .../plot_persistence_intervals.cpp | 11 +- .../persistence_landscapes/average_landscapes.cpp | 4 +- .../compute_distance_of_landscapes.cpp | 4 +- .../compute_scalar_product_of_landscapes.cpp | 4 +- .../persistence_landscapes/create_landscapes.cpp | 4 +- .../persistence_landscapes/plot_landscapes.cpp | 4 +- .../average_landscapes_on_grid.cpp | 4 +- .../compute_distance_of_landscapes_on_grid.cpp | 4 +- ...ompute_scalar_product_of_landscapes_on_grid.cpp | 4 +- .../create_landscapes_on_grid.cpp | 4 +- .../plot_landscapes_on_grid.cpp | 4 +- .../average_persistence_vectors.cpp | 4 +- .../compute_distance_of_persistence_vectors.cpp | 4 +- ...mpute_scalar_product_of_persistence_vectors.cpp | 4 +- .../create_persistence_vectors.cpp | 4 +- .../plot_persistence_vectors.cpp | 4 +- 66 files changed, 6284 insertions(+), 6283 deletions(-) create mode 100644 src/Gudhi_stat/doc/Persistence_representations_doc.h delete mode 100644 src/Gudhi_stat/doc/gudhi_stat_doc.h create mode 100644 src/Gudhi_stat/include/gudhi/PSSK.h create mode 100644 src/Gudhi_stat/include/gudhi/Persistence_heat_maps.h create mode 100644 src/Gudhi_stat/include/gudhi/Persistence_intervals.h create mode 100644 src/Gudhi_stat/include/gudhi/Persistence_intervals_with_distances.h create mode 100644 src/Gudhi_stat/include/gudhi/Persistence_landscape.h create mode 100644 src/Gudhi_stat/include/gudhi/Persistence_landscape_on_grid.h delete mode 100644 src/Gudhi_stat/include/gudhi/common_gudhi_stat.h create mode 100644 src/Gudhi_stat/include/gudhi/common_persistence_representations.h delete mode 100644 src/Gudhi_stat/include/gudhi/persistence_representations/PSSK.h delete mode 100644 src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_heat_maps.h delete mode 100644 src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals.h delete mode 100644 src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals_with_distances.h delete mode 100644 src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape.h delete mode 100644 src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape_on_grid.h delete mode 100644 src/Gudhi_stat/include/gudhi/persistence_representations/persistence_vectors.h create mode 100644 src/Gudhi_stat/include/gudhi/persistence_vectors.h (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/doc/Persistence_representations_doc.h b/src/Gudhi_stat/doc/Persistence_representations_doc.h new file mode 100644 index 00000000..215616a0 --- /dev/null +++ b/src/Gudhi_stat/doc/Persistence_representations_doc.h @@ -0,0 +1,202 @@ +/* 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 Sophia-Saclay (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 . + */ + + +#ifndef DOC_GUDHI_STAT_H_ +#define DOC_GUDHI_STAT_H_ + +namespace Gudhi { + +namespace Persistence_representations { + +/** \defgroup Persistence_representations Persistence_representations + * + * \author Pawel Dlotko + * + * @{ + *\section idea Idea + + *In order to perform most of the statistical tests and machine learning algorithms on a data one need to be able to perform only a very limited number of operations on them. Let us fix a representation of + * data of a type A. To perform most of the statistical and machine learning operations one need to be able to compute average of objects of type A (so that the averaged object is also of a type A), to + * compute distance between objects of a type A, to vectorize object of a type A and to compute scalar product of a pair objects of a type A. + * + *To put this statement into a context, let us assume we have two collections \f$ c_1,\ldots,c_n\f$ and \f$d_1,...,d_n\f$ of objects of a type A. We want to verify if the average of those two collections + * are different by performing a permutation test. + *First of all, we compute averages of those two collections: C average of \f$ c_1,\ldots,c_n \f$ and D average of \f$d_1,\ldots,d_n\f$. Note that both C and D are of a type A. Then we compute \f$d(C,D)\f$, + * a distance between C and D. + *Later we put the two collections into one bin: + *\f[B = \{ c_1,...,c_n,d_1,...,d_n \}\f] + *Then we shuffle B, and we divide the shuffled version of B into two classes: \f$B_1\f$ and \f$B_2\f$ (in this case, of the same cardinality). Then we compute averages \f$\hat{B_1}\f$ and \f$\hat{B_2}\f$ + * of elements in \f$B_1\f$ and \f$B_2\f$. Note that again, \f$\hat{B_1}\f$ and \f$\hat{B_2}\f$ are of a type A. + *Then we compute their distance \f$d(\hat{B_1},\hat{B_2})\f$. The procedure of shuffling and dividing the set \f$B\f$ is repeated \f$N\f$ times (where \f$N\f$ is reasonably large number). + *Then the p-value of a statement that the averages of \f$c_1,...,c_n\f$ and \f$d_1,...,d_n\f$ is approximated by the number of times \f$d(\hat{B_1},\hat{B_2}) > d(C,D)\f$ divided by \f$N\f$. + * + *The permutation test reminded above can be performed for any type A which can be averaged, and which allows for computations of distances. + * + *The Persistence\_representations contains a collection of various representations of persistent homology that implements various concepts described below: + * + *\li Concept of a representation of persistence that allows averaging (so that the average object is of the same type). + *\li Concept of representation of persistence that allows computations of distances. + *\li Concept of representation of persistence that allows computations of scalar products. + *\li Concept of representation of persistence that allows vectorization. + *\li Concept of representation of persistence that allows computations of real--valued characteristics of objects. + * + * + *At the moment an implementation of the following representations of persistence are available (further details of those representations will be discussed later): + * + *\li Exact persistence landscapes (allow averaging, computation of distances, scalar products, vectorizations and real value characteristics). + *\li Persistence landscapes on a grid (allow averaging, computation of distances scalar products, vectorizations and real value characteristics). + *\li Persistence heat maps – various representations where one put some weighted or not Gaussian kernel for each point of diagram (allow averaging, computation of distances, scalar products, + * vectorizations and real value characteristics). + *\li Persistence vectors (allow averaging, computation of distances, scalar products, vectorizations and real value characteristics). + *\li Persistence diagrams / barcodes (allow computation of distances, vectorizations and real value characteristics). + * + * + *Note that at the while functionalities like averaging, distances and scalar products are fixed, there is no canonical way of vectorizing and computing real valued characteristics of objects. Therefore the + * vectorizations and computation of real value characteristics procedures are quite likely to evolve in the furthering versions of the library. + * + *The main aim of this implementation is to be able to implement various statistical methods, both on the level of C++ and on the level of python. The methods will operate on the functionalities offered + * by concepts. That means that the statistical and ML methods will be able to operate on any representation that implement the required concept (including the ones that are not in the library at the moment). + * That gives provides a framework, that is very easy to extend, for topological statistics. + * + *Below we are discussing the representations which are currently implemented in Persistence\_representations package: + * + *\section sec_persistence_landscapes Persistence Landscapes + * Reference manual: \ref Gudhi::Persistence_representations::Persistence_landscape + *Persistence landscapes were originally proposed by Bubenik in \cite bubenik_landscapes_2015. Efficient algorithms to compute them rigorously were proposed by Bubenik and Dlotko in \cite bubenik_dlotko_landscapes_2016. The idea of + * persistence landscapes is shortly summarized in below. + * + *To begin with, suppose we are given a point \f$(b,d) \in \mathbb{R}^2\f$ in a + *persistence diagram. With this point, we associate a piecewise + *linear function \f$f_{(b,d)} : \mathbb{R} \rightarrow [0,\infty)\f$, which is + *defined as + * + * \f[f_{(b,d)}(x) = + * \left\{ \begin{array}{ccl} + * 0 & \mbox{ if } & x \not\in (b, d) \; , \\ + * x - b & \mbox{ if } & x \in \left( b, \frac{b+d}{2} + * \right] \; , \\ + * d - x & \mbox{ if } & x \in \left(\frac{b+d}{2}, + * d \right) \; . + * \end{array} \right. + *\f] + * + *A persistence landscape of the birth-death + *pairs \f$(b_i , d_i)\f$, where \f$i = 1,\ldots,m\f$, which constitute the given + *persistence diagram is the sequence of functions \f$\lambda_k : \mathbb{R} \rightarrow [0,\infty)\f$ for \f$k \in \mathbb{N}\f$, where \f$\lambda_k(x)\f$ + *denotes the \f$k^{\rm th}\f$ largest value of the numbers \f$f_{(b_i,d_i)}(x)\f$, + *for \f$i = 1, \ldots, m\f$, and we define \f$\lambda_k(x) = 0\f$ if \f$k > m\f$. + *Equivalently, this sequence of functions can be combined into a single + *function \f$L : \mathbb{N} \times \mathbb{R} \to [0,\infty)\f$ of two + *variables, if we define \f$L(k,t) = \lambda_k(t)\f$. + * + *The detailed description of algorithms used to compute persistence landscapes can be found in \cite bubenik_dlotko_landscapes_2016. + * Note that this implementation provides exact representation of landscapes. That have many advantages, but also a few drawbacks. For instance, as discussed + * in \cite bubenik_dlotko_landscapes_2016, the exact representation of landscape may be of quadratic size with respect to the input persistence diagram. It may therefore happen + * that, for very large diagrams, using this representation may be memory--prohibitive. In such a case, there are two possible ways to proceed: + * + *\li Use non exact representation on a grid described in the Section \ref sec_landscapes_on_grid. + *\li Compute just a number of initial nonzero landscapes. This option is available from C++ level. + * + * + * + *\section sec_landscapes_on_grid Persistence Landscapes on a grid + * Reference manual: \ref Gudhi::Persistence_representations::Persistence_landscape_on_grid + *This is an alternative, not--exact, representation of persistence landscapes defined in the Section \ref sec_persistence_landscapes. Unlike in the Section \ref sec_persistence_landscapes we build a + * representation of persistence landscape by sampling its values on a finite, equally distributed grid of points. + * Since, the persistence landscapes that originate from persistence diagrams have slope \f$1\f$ or \f$-1\f$, we have an estimate of a region between the grid points where the landscape cab be located. + * That allows to estimate an error make when performing various operations on landscape. Note that for average landscapes the slope is in range \f$[-1,1]\f$ and similar estimate can be used. + * + *Due to a lack of rigorous description of the algorithms to deal with this non--rigorous representaion of persistence landscapes in the literature, we are providing a short discussion of them in below. + * + *Let us assume that we want to compute persistence landscape on a interval \f$[x,y]\f$. Let us assume that we want to use \f$N\f$ grid points for that purpose. + * Then we will sample the persistence landscape on points \f$x_1 = x , x_2 = x + \frac{y-x}{N}, \ldots , x_{N} = y\f$. Persistence landscapes are represented as a vector of + * vectors of real numbers. Assume that i-th vector consist of \f$n_i\f$ numbers sorted from larger to smaller. They represent the values of the functions + \f$\lambda_1,\ldots,\lambda_{n_i}\f$ ,\f$\lambda_{n_i+1}\f$ and the functions with larger indices are then zero functions) on the i-th point of a grid, i.e. \f$x + i \frac{y-x}{N}\f$. + * + *When averaging two persistence landscapes represented by a grid we need to make sure that they are defined in a compatible grids. I.e. the intervals \f$[x,y]\f$ on which they are defined are + * the same, and the numbers of grid points \f$N\f$ are the same in both cases. If this is the case, we simply compute point-wise averages of the entries of corresponding + * vectors (In this whole section we assume that if one vector of numbers is shorter than another, we extend the shorter one with zeros so that they have the same length.) + * + *Computations of distances between two persistence landscapes on a grid is not much different than in the rigorous case. In this case, we sum up the distances between the same levels of + * corresponding landscapes. For fixed level, we approximate the landscapes between the corresponding constitutive points of landscapes by linear functions, and compute the \f$L^p\f$ distance between them. + * + *Similarly as in case of distance, when computing the scalar product of two persistence landscapes on a grid, we sum up the scalar products of corresponding levels of landscapes. For each level, + * we assume that the persistence landscape on a grid between two grid points is approximated by linear function. Therefore to compute scalar product of two corresponding levels of landscapes, + * we sum up the integrals of products of line segments for every pair of constitutive grid points. + * + *Note that for this representation we need to specify a few parameters: + * + *\li Begin and end point of a grid -- the interval \f$[x,y]\f$ (real numbers). + *\li Number of points in a grid (positive integer \f$N\f$). + * + * + *Note that the same representation is used in TDA R-package \cite Fasy_Kim_Lecci_Maria_tda. + * + *\section sec_persistence_heat_maps Persistence heat maps + * Reference manual: \ref Gudhi::Persistence_representations::Persistence heat maps + *This is a general class of discrete structures which are based on idea of placing a kernel in the points of persistence diagrams. + *This idea appeared in work by many authors over the last 15 years. As far as we know this idea was firstly described in the work of Bologna group in \cite Ferri_Frosini_comparision_sheme_1 and \cite Ferri_Frosini_comparision_sheme_2. + *Later it has been described by Colorado State University group in \cite Persistence_Images_2017. The presented paper in the first time provide a discussion of stability of the representation. + *Also, the same ideas are used in construction of two recent kernels used for machine learning: \cite Kusano_Fukumizu_Hiraoka_PWGK and \cite Reininghaus_Huber_ALL_PSSK. Both the kernel's construction uses interesting ideas to + *ensure stability of the representation with respect to Wasserstein metric. In the kernel presented in \cite Kusano_Fukumizu_Hiraoka_PWGK, a scaling function is used to multiply the Gaussian kernel in the + *way that the points close to diagonal got low weight and consequently do not have a big influence on the resulting distribution. In \cite Reininghaus_Huber_ALL_PSSK for every point \f$(b,d)\f$ two Gaussian kernels + *are added: first, with a weight 1 in a point \f$(b,d)\f$, and the second, with the weight -1 for a point \f$(b,d)\f$. In both cases, the representations are stable with respect to 1-Wasserstein distance. + * + *In Persistence\_representations package we currently implement a discretization of the distributions described above. The base of this implementation is 2-dimensional array of pixels. Each pixel have assigned a real value which + * is a sum of values of distributions induced by each point of the persistence diagram. At the moment we compute the sum of values on a center of a pixels. It can be easily extended to any other function + * (like for instance sum of integrals of the intermediate distribution on a pixel). + * + *The parameters that determine the structure are the following: + * + *\li A positive integer k determining the size of the kernel we used (we always assume that the kernels are square). + *\li A filter: in practice a square matrix of a size \f$2k+1 \times 2k+1\f$. By default, this is a discretization of N(0,1) kernel. + *\li The box \f$[x_0,x_1]\times [y_0,y_1]\f$ bounding the domain of the persistence image. + *\li Scaling function. Each Gaussian kernel at point \f$(p,q)\f$ gets multiplied by the value of this function at the point \f$(p,q)\f$. + *\li A boolean value determining if the space below diagonal should be erased or not. To be precise: when points close to diagonal are given then sometimes the kernel have support that reaches the region + *below the diagonal. If the value of this parameter is true, then the values below diagonal can be erased. + * + * + *\section sec_persistence_vectors Persistence vectors + * Reference manual: \ref Gudhi::Persistence_representations::Persistence vectors + *This is a representation of persistent homology in a form of a vector which was designed for an application in 3d graphic in \cite Carriere_Oudot_Ovsjanikov_top_signatures_3d. Below we provide a short description of this representation. + * + *Given a persistence diagram \f$D = \{ (b_i,d_i) \}\f$, for every pair of birth--death points \f$(b_1,d_1)\f$ and \f$(b_2,d_2)\f$ we compute the following three distances: + * + *\li \f$d( (b_1,d_1) , (b_2,d_2) )\f$. + *\li \f$d( (b_1,d_1) , (\frac{b_1,d_1}{2},\frac{b_1,d_1}{2}) )\f$. + *\li \f$d( (b_2,d_2) , (\frac{b_2,d_2}{2},\frac{b_2,d_2}{2}) )\f$. + * + *We pick the smallest of those and add it to a vector. The obtained vector of numbers is then sorted in decreasing order. This way we obtain a persistence vector representing the diagram. + * + *Given two persistence vectors, the computation of distances, averages and scalar products is straightforward. Average is simply a coordinate-wise average of a collection of vectors. In this section we + * assume that the vectors are extended by zeros if they are of a different size. To compute distances we compute absolute value of differences between coordinates. A scalar product is a sum of products of + * values at the corresponding positions of two vectors. + * + * \copyright GNU General Public License v3. + */ +/** @} */ // end defgroup Persistence_representations + +} // namespace Persistence_representations +} // namespace Gudhi + +#endif // Persistence_representations diff --git a/src/Gudhi_stat/doc/gudhi_stat_doc.h b/src/Gudhi_stat/doc/gudhi_stat_doc.h deleted file mode 100644 index b2162c49..00000000 --- a/src/Gudhi_stat/doc/gudhi_stat_doc.h +++ /dev/null @@ -1,202 +0,0 @@ -/* 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 Sophia-Saclay (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 . - */ - - -#ifndef DOC_GUDHI_STAT_H_ -#define DOC_GUDHI_STAT_H_ - -namespace Gudhi { - -namespace Gudhi_stat { - -/** \defgroup Gudhi_stat Gudhi_stat - * - * \author Pawel Dlotko - * - * @{ - *\section idea Idea - - *In order to perform most of the statistical tests and machine learning algorithms on a data one need to be able to perform only a very limited number of operations on them. Let us fix a representation of - * data of a type A. To perform most of the statistical and machine learning operations one need to be able to compute average of objects of type A (so that the averaged object is also of a type A), to - * compute distance between objects of a type A, to vectorize object of a type A and to compute scalar product of a pair objects of a type A. - * - *To put this statement into a context, let us assume we have two collections \f$ c_1,\ldots,c_n\f$ and \f$d_1,...,d_n\f$ of objects of a type A. We want to verify if the average of those two collections - * are different by performing a permutation test. - *First of all, we compute averages of those two collections: C average of \f$ c_1,\ldots,c_n \f$ and D average of \f$d_1,\ldots,d_n\f$. Note that both C and D are of a type A. Then we compute \f$d(C,D)\f$, - * a distance between C and D. - *Later we put the two collections into one bin: - *\f[B = \{ c_1,...,c_n,d_1,...,d_n \}\f] - *Then we shuffle B, and we divide the shuffled version of B into two classes: \f$B_1\f$ and \f$B_2\f$ (in this case, of the same cardinality). Then we compute averages \f$\hat{B_1}\f$ and \f$\hat{B_2}\f$ - * of elements in \f$B_1\f$ and \f$B_2\f$. Note that again, \f$\hat{B_1}\f$ and \f$\hat{B_2}\f$ are of a type A. - *Then we compute their distance \f$d(\hat{B_1},\hat{B_2})\f$. The procedure of shuffling and dividing the set \f$B\f$ is repeated \f$N\f$ times (where \f$N\f$ is reasonably large number). - *Then the p-value of a statement that the averages of \f$c_1,...,c_n\f$ and \f$d_1,...,d_n\f$ is approximated by the number of times \f$d(\hat{B_1},\hat{B_2}) > d(C,D)\f$ divided by \f$N\f$. - * - *The permutation test reminded above can be performed for any type A which can be averaged, and which allows for computations of distances. - * - *The Gudhi\_stat contains a collection of various representations of persistent homology that implements various concepts described below: - * - *\li Concept of a representation of persistence that allows averaging (so that the average object is of the same type). - *\li Concept of representation of persistence that allows computations of distances. - *\li Concept of representation of persistence that allows computations of scalar products. - *\li Concept of representation of persistence that allows vectorization. - *\li Concept of representation of persistence that allows computations of real--valued characteristics of objects. - * - * - *At the moment an implementation of the following representations of persistence are available (further details of those representations will be discussed later): - * - *\li Exact persistence landscapes (allow averaging, computation of distances, scalar products, vectorizations and real value characteristics). - *\li Persistence landscapes on a grid (allow averaging, computation of distances scalar products, vectorizations and real value characteristics). - *\li Persistence heat maps – various representations where one put some weighted or not Gaussian kernel for each point of diagram (allow averaging, computation of distances, scalar products, - * vectorizations and real value characteristics). - *\li Persistence vectors (allow averaging, computation of distances, scalar products, vectorizations and real value characteristics). - *\li Persistence diagrams / barcodes (allow computation of distances, vectorizations and real value characteristics). - * - * - *Note that at the while functionalities like averaging, distances and scalar products are fixed, there is no canonical way of vectorizing and computing real valued characteristics of objects. Therefore the - * vectorizations and computation of real value characteristics procedures are quite likely to evolve in the furthering versions of the library. - * - *The main aim of this implementation is to be able to implement various statistical methods, both on the level of C++ and on the level of python. The methods will operate on the functionalities offered - * by concepts. That means that the statistical and ML methods will be able to operate on any representation that implement the required concept (including the ones that are not in the library at the moment). - * That gives provides a framework, that is very easy to extend, for topological statistics. - * - *Below we are discussing the representations which are currently implemented in Gudhi\_stat: - * - *\section sec_persistence_landscapes Persistence Landscapes - * Reference manual: \ref Gudhi::Gudhi_stat::Persistence_landscape - *Persistence landscapes were originally proposed by Bubenik in \cite bubenik_landscapes_2015. Efficient algorithms to compute them rigorously were proposed by Bubenik and Dlotko in \cite bubenik_dlotko_landscapes_2016. The idea of - * persistence landscapes is shortly summarized in below. - * - *To begin with, suppose we are given a point \f$(b,d) \in \mathbb{R}^2\f$ in a - *persistence diagram. With this point, we associate a piecewise - *linear function \f$f_{(b,d)} : \mathbb{R} \rightarrow [0,\infty)\f$, which is - *defined as - * - * \f[f_{(b,d)}(x) = - * \left\{ \begin{array}{ccl} - * 0 & \mbox{ if } & x \not\in (b, d) \; , \\ - * x - b & \mbox{ if } & x \in \left( b, \frac{b+d}{2} - * \right] \; , \\ - * d - x & \mbox{ if } & x \in \left(\frac{b+d}{2}, - * d \right) \; . - * \end{array} \right. - *\f] - * - *A persistence landscape of the birth-death - *pairs \f$(b_i , d_i)\f$, where \f$i = 1,\ldots,m\f$, which constitute the given - *persistence diagram is the sequence of functions \f$\lambda_k : \mathbb{R} \rightarrow [0,\infty)\f$ for \f$k \in \mathbb{N}\f$, where \f$\lambda_k(x)\f$ - *denotes the \f$k^{\rm th}\f$ largest value of the numbers \f$f_{(b_i,d_i)}(x)\f$, - *for \f$i = 1, \ldots, m\f$, and we define \f$\lambda_k(x) = 0\f$ if \f$k > m\f$. - *Equivalently, this sequence of functions can be combined into a single - *function \f$L : \mathbb{N} \times \mathbb{R} \to [0,\infty)\f$ of two - *variables, if we define \f$L(k,t) = \lambda_k(t)\f$. - * - *The detailed description of algorithms used to compute persistence landscapes can be found in \cite bubenik_dlotko_landscapes_2016. - * Note that this implementation provides exact representation of landscapes. That have many advantages, but also a few drawbacks. For instance, as discussed - * in \cite bubenik_dlotko_landscapes_2016, the exact representation of landscape may be of quadratic size with respect to the input persistence diagram. It may therefore happen - * that, for very large diagrams, using this representation may be memory--prohibitive. In such a case, there are two possible ways to proceed: - * - *\li Use non exact representation on a grid described in the Section \ref sec_landscapes_on_grid. - *\li Compute just a number of initial nonzero landscapes. This option is available from C++ level. - * - * - * - *\section sec_landscapes_on_grid Persistence Landscapes on a grid - * Reference manual: \ref Gudhi::Gudhi_stat::Persistence_landscape_on_grid - *This is an alternative, not--exact, representation of persistence landscapes defined in the Section \ref sec_persistence_landscapes. Unlike in the Section \ref sec_persistence_landscapes we build a - * representation of persistence landscape by sampling its values on a finite, equally distributed grid of points. - * Since, the persistence landscapes that originate from persistence diagrams have slope \f$1\f$ or \f$-1\f$, we have an estimate of a region between the grid points where the landscape cab be located. - * That allows to estimate an error make when performing various operations on landscape. Note that for average landscapes the slope is in range \f$[-1,1]\f$ and similar estimate can be used. - * - *Due to a lack of rigorous description of the algorithms to deal with this non--rigorous representaion of persistence landscapes in the literature, we are providing a short discussion of them in below. - * - *Let us assume that we want to compute persistence landscape on a interval \f$[x,y]\f$. Let us assume that we want to use \f$N\f$ grid points for that purpose. - * Then we will sample the persistence landscape on points \f$x_1 = x , x_2 = x + \frac{y-x}{N}, \ldots , x_{N} = y\f$. Persistence landscapes are represented as a vector of - * vectors of real numbers. Assume that i-th vector consist of \f$n_i\f$ numbers sorted from larger to smaller. They represent the values of the functions - \f$\lambda_1,\ldots,\lambda_{n_i}\f$ ,\f$\lambda_{n_i+1}\f$ and the functions with larger indices are then zero functions) on the i-th point of a grid, i.e. \f$x + i \frac{y-x}{N}\f$. - * - *When averaging two persistence landscapes represented by a grid we need to make sure that they are defined in a compatible grids. I.e. the intervals \f$[x,y]\f$ on which they are defined are - * the same, and the numbers of grid points \f$N\f$ are the same in both cases. If this is the case, we simply compute point-wise averages of the entries of corresponding - * vectors (In this whole section we assume that if one vector of numbers is shorter than another, we extend the shorter one with zeros so that they have the same length.) - * - *Computations of distances between two persistence landscapes on a grid is not much different than in the rigorous case. In this case, we sum up the distances between the same levels of - * corresponding landscapes. For fixed level, we approximate the landscapes between the corresponding constitutive points of landscapes by linear functions, and compute the \f$L^p\f$ distance between them. - * - *Similarly as in case of distance, when computing the scalar product of two persistence landscapes on a grid, we sum up the scalar products of corresponding levels of landscapes. For each level, - * we assume that the persistence landscape on a grid between two grid points is approximated by linear function. Therefore to compute scalar product of two corresponding levels of landscapes, - * we sum up the integrals of products of line segments for every pair of constitutive grid points. - * - *Note that for this representation we need to specify a few parameters: - * - *\li Begin and end point of a grid -- the interval \f$[x,y]\f$ (real numbers). - *\li Number of points in a grid (positive integer \f$N\f$). - * - * - *Note that the same representation is used in TDA R-package \cite Fasy_Kim_Lecci_Maria_tda. - * - *\section sec_persistence_heat_maps Persistence heat maps - * Reference manual: \ref Gudhi::Gudhi_stat::Persistence heat maps - *This is a general class of discrete structures which are based on idea of placing a kernel in the points of persistence diagrams. - *This idea appeared in work by many authors over the last 15 years. As far as we know this idea was firstly described in the work of Bologna group in \cite Ferri_Frosini_comparision_sheme_1 and \cite Ferri_Frosini_comparision_sheme_2. - *Later it has been described by Colorado State University group in \cite Persistence_Images_2017. The presented paper in the first time provide a discussion of stability of the representation. - *Also, the same ideas are used in construction of two recent kernels used for machine learning: \cite Kusano_Fukumizu_Hiraoka_PWGK and \cite Reininghaus_Huber_ALL_PSSK. Both the kernel's construction uses interesting ideas to - *ensure stability of the representation with respect to Wasserstein metric. In the kernel presented in \cite Kusano_Fukumizu_Hiraoka_PWGK, a scaling function is used to multiply the Gaussian kernel in the - *way that the points close to diagonal got low weight and consequently do not have a big influence on the resulting distribution. In \cite Reininghaus_Huber_ALL_PSSK for every point \f$(b,d)\f$ two Gaussian kernels - *are added: first, with a weight 1 in a point \f$(b,d)\f$, and the second, with the weight -1 for a point \f$(b,d)\f$. In both cases, the representations are stable with respect to 1-Wasserstein distance. - * - *In Gudhi\_stat we currently implement a discretization of the distributions described above. The base of this implementation is 2-dimensional array of pixels. Each pixel have assigned a real value which - * is a sum of values of distributions induced by each point of the persistence diagram. At the moment we compute the sum of values on a center of a pixels. It can be easily extended to any other function - * (like for instance sum of integrals of the intermediate distribution on a pixel). - * - *The parameters that determine the structure are the following: - * - *\li A positive integer k determining the size of the kernel we used (we always assume that the kernels are square). - *\li A filter: in practice a square matrix of a size \f$2k+1 \times 2k+1\f$. By default, this is a discretization of N(0,1) kernel. - *\li The box \f$[x_0,x_1]\times [y_0,y_1]\f$ bounding the domain of the persistence image. - *\li Scaling function. Each Gaussian kernel at point \f$(p,q)\f$ gets multiplied by the value of this function at the point \f$(p,q)\f$. - *\li A boolean value determining if the space below diagonal should be erased or not. To be precise: when points close to diagonal are given then sometimes the kernel have support that reaches the region - *below the diagonal. If the value of this parameter is true, then the values below diagonal can be erased. - * - * - *\section sec_persistence_vectors Persistence vectors - * Reference manual: \ref Gudhi::Gudhi_stat::Persistence vectors - *This is a representation of persistent homology in a form of a vector which was designed for an application in 3d graphic in \cite Carriere_Oudot_Ovsjanikov_top_signatures_3d. Below we provide a short description of this representation. - * - *Given a persistence diagram \f$D = \{ (b_i,d_i) \}\f$, for every pair of birth--death points \f$(b_1,d_1)\f$ and \f$(b_2,d_2)\f$ we compute the following three distances: - * - *\li \f$d( (b_1,d_1) , (b_2,d_2) )\f$. - *\li \f$d( (b_1,d_1) , (\frac{b_1,d_1}{2},\frac{b_1,d_1}{2}) )\f$. - *\li \f$d( (b_2,d_2) , (\frac{b_2,d_2}{2},\frac{b_2,d_2}{2}) )\f$. - * - *We pick the smallest of those and add it to a vector. The obtained vector of numbers is then sorted in decreasing order. This way we obtain a persistence vector representing the diagram. - * - *Given two persistence vectors, the computation of distances, averages and scalar products is straightforward. Average is simply a coordinate-wise average of a collection of vectors. In this section we - * assume that the vectors are extended by zeros if they are of a different size. To compute distances we compute absolute value of differences between coordinates. A scalar product is a sum of products of - * values at the corresponding positions of two vectors. - * - * \copyright GNU General Public License v3. - */ -/** @} */ // end defgroup Gudhi_stat - -} // namespace cubical_complex -} // namespace Gudhi - -#endif // DOC_GUDHI_STAT_H_ diff --git a/src/Gudhi_stat/example/persistence_heat_maps.cpp b/src/Gudhi_stat/example/persistence_heat_maps.cpp index 0e5f7b79..da87486d 100644 --- a/src/Gudhi_stat/example/persistence_heat_maps.cpp +++ b/src/Gudhi_stat/example/persistence_heat_maps.cpp @@ -23,7 +23,7 @@ #include -#include +#include #include #include @@ -31,7 +31,7 @@ using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; double epsilon = 0.0000005; diff --git a/src/Gudhi_stat/example/persistence_intervals.cpp b/src/Gudhi_stat/example/persistence_intervals.cpp index 33d45485..ed5b4e34 100644 --- a/src/Gudhi_stat/example/persistence_intervals.cpp +++ b/src/Gudhi_stat/example/persistence_intervals.cpp @@ -23,14 +23,14 @@ #include -#include +#include #include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; int main( int argc , char** argv ) diff --git a/src/Gudhi_stat/example/persistence_landscape.cpp b/src/Gudhi_stat/example/persistence_landscape.cpp index 9385c408..40fb7d32 100644 --- a/src/Gudhi_stat/example/persistence_landscape.cpp +++ b/src/Gudhi_stat/example/persistence_landscape.cpp @@ -22,12 +22,12 @@ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include diff --git a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp index d432d757..b38ac3d9 100644 --- a/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp +++ b/src/Gudhi_stat/example/persistence_landscape_on_grid.cpp @@ -22,12 +22,12 @@ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include diff --git a/src/Gudhi_stat/example/persistence_vectors.cpp b/src/Gudhi_stat/example/persistence_vectors.cpp index 9373dcf0..70163fec 100644 --- a/src/Gudhi_stat/example/persistence_vectors.cpp +++ b/src/Gudhi_stat/example/persistence_vectors.cpp @@ -22,7 +22,7 @@ -#include +#include #include @@ -32,7 +32,7 @@ #include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; diff --git a/src/Gudhi_stat/include/gudhi/PSSK.h b/src/Gudhi_stat/include/gudhi/PSSK.h new file mode 100644 index 00000000..bd142c02 --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/PSSK.h @@ -0,0 +1,181 @@ +/* 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 . + */ + +#pragma once +#ifndef PSSK_H +#define PSSK_H + +//gudhi include +#include + + +namespace Gudhi +{ +namespace Persistence_representations +{ + +/** +* This is a version of a representation presented in https://arxiv.org/abs/1412.6821 +* In that paper the authors are using the representation just to compute kernel. Over here, we extend the usability by far. +* Note that the version presented here is not exact, since we are discretizing the kernel. +* The only difference with respect to the original class is the method of creation. We have full (square) image, and for every point (p,q), we add a kernel at (p,q) and the negative kernel +* at (q,p) +**/ + +class PSSK : public Persistence_heat_maps +{ +public: + PSSK():Persistence_heat_maps(){} + + PSSK(const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ) + :Persistence_heat_maps() + { + this->construct( interval , filter , number_of_pixels , min_ , max_ ); + } + + + PSSK( const char* filename , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 , unsigned dimension = std::numeric_limits::max() ): + Persistence_heat_maps() + { + std::vector< std::pair< double , double > > intervals_; + if ( dimension == std::numeric_limits::max() ) + { + intervals_ = read_persistence_intervals_in_one_dimension_from_file( filename ); + } + else + { + intervals_ = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); + } + this->construct( intervals_ , filter , number_of_pixels , min_ , max_ ); + } + +protected: + void construct( const std::vector< std::pair >& intervals_ , + std::vector< std::vector > filter = create_Gaussian_filter(5,1), + size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); +}; + +//if min_ == max_, then the program is requested to set up the values itself based on persistence intervals +void PSSK::construct( const std::vector< std::pair >& intervals_ , + std::vector< std::vector > filter, + size_t number_of_pixels , double min_ , double max_ ) +{ + bool dbg = false; + if ( dbg ){std::cerr << "Entering construct procedure \n";getchar();} + + if ( min_ == max_ ) + { + //in this case, we want the program to set up the min_ and max_ values by itself. + min_ = std::numeric_limits::max(); + max_ = -std::numeric_limits::max(); + + + for ( size_t i = 0 ; i != intervals_.size() ; ++i ) + { + if ( intervals_[i].first < min_ )min_ = intervals_[i].first; + if ( intervals_[i].second > max_ )max_ = intervals_[i].second; + } + //now we have the structure filled in, and moreover we know min_ and max_ values of the interval, so we know the range. + + //add some more space: + min_ -= fabs(max_ - min_)/100; + max_ += fabs(max_ - min_)/100; + } + + if ( dbg ) + { + std::cerr << "min_ : " << min_ << std::endl; + std::cerr << "max_ : " << max_ << std::endl; + std::cerr << "number_of_pixels : " << number_of_pixels << std::endl; + getchar(); + } + + this->min_ = min_; + this->max_ = max_; + + + + //initialization of the structure heat_map + std::vector< std::vector > heat_map_; + for ( size_t i = 0 ; i != number_of_pixels ; ++i ) + { + std::vector v( number_of_pixels , 0 ); + heat_map_.push_back( v ); + } + this->heat_map = heat_map_; + + if (dbg)std::cerr << "Done creating of the heat map, now we will fill in the structure \n"; + + for ( size_t pt_nr = 0 ; pt_nr != intervals_.size() ; ++pt_nr ) + { + //compute the value of intervals_[pt_nr] in the grid: + int x_grid = (int)((intervals_[pt_nr].first - this->min_)/( this->max_-this->min_ )*number_of_pixels); + int y_grid = (int)((intervals_[pt_nr].second - this->min_)/( this->max_-this->min_ )*number_of_pixels); + + if ( dbg ) + { + std::cerr << "point : " << intervals_[pt_nr].first << " , " << intervals_[pt_nr].second << std::endl; + std::cerr << "x_grid : " << x_grid << std::endl; + std::cerr << "y_grid : " << y_grid << std::endl; + } + + //x_grid and y_grid gives a center of the kernel. We want to have its lower left cordner. To get this, we need to shift x_grid and y_grid by a grid diameter. + x_grid -= filter.size()/2; + y_grid -= filter.size()/2; + //note that the numbers x_grid and y_grid may be negative. + + if ( dbg ) + { + std::cerr << "After shift : \n";; + std::cerr << "x_grid : " << x_grid << std::endl; + std::cerr << "y_grid : " << y_grid << std::endl; + std::cerr << "filter.size() : " << filter.size() << std::endl; + getchar(); + } + + + for ( size_t i = 0 ; i != filter.size() ; ++i ) + { + for ( size_t j = 0 ; j != filter.size() ; ++j ) + { + //if the point (x_grid+i,y_grid+j) is the correct point in the grid. + if ( + ((x_grid+i)>=0) && (x_grid+iheat_map.size()) + && + ((y_grid+j)>=0) && (y_grid+jheat_map.size()) + ) + { + if ( dbg ){std::cerr << y_grid+j << " " << x_grid+i << std::endl;} + this->heat_map[ y_grid+j ][ x_grid+i ] += filter[i][j]; + this->heat_map[ x_grid+i ][ y_grid+j ] += -filter[i][j]; + } + } + } + + } +}//construct + + +#endif + +}//namespace Gudhi_stat +}//namespace Gudhi diff --git a/src/Gudhi_stat/include/gudhi/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/Persistence_heat_maps.h new file mode 100644 index 00000000..78cbed20 --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/Persistence_heat_maps.h @@ -0,0 +1,1040 @@ +/* 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 . + */ + +#ifndef Persistence_heat_maps_H +#define Persistence_heat_maps_H + +//standard include +#include +#include +#include +#include +#include +#include +#include + +//gudhi include +#include +#include + + + + +namespace Gudhi +{ +namespace Persistence_representations +{ + + +/** + * This is a simple procedure to create n by n (or 2*pixel_radius times 2*pixel_radius cubical approximation of a Gaussian kernel. +**/ +std::vector< std::vector > create_Gaussian_filter( size_t pixel_radius , double sigma ) +{ + bool dbg = false; + //we are computing the kernel mask to 2 standard deviations away from the center. We discretize it in a grid of a size 2*pixel_radius times 2*pixel_radius. + + double r = 0; + double sigma_sqr = sigma * sigma; + + // sum is for normalization + double sum = 0; + + //initialization of a kernel: + std::vector< std::vector > kernel( 2*pixel_radius +1 ); + for ( size_t i = 0 ; i != kernel.size() ; ++i ) + { + std::vector v( 2*pixel_radius +1 , 0 ); + kernel[i] = v; + } + + if ( dbg ) + { + std::cerr << "Kernel initalize \n"; + std::cerr << "pixel_radius : " << pixel_radius << std::endl; + std::cerr << "kernel.size() : " << kernel.size() << std::endl; + getchar(); + } + + for (int x = -pixel_radius; x <= (int)pixel_radius; x++) + { + for(int y = -pixel_radius; y <= (int)pixel_radius; y++) + { + double real_x = 2*sigma*x/pixel_radius; + double real_y = 2*sigma*y/pixel_radius; + r = sqrt(real_x*real_x + real_y*real_y); + kernel[x + pixel_radius][y + pixel_radius] = (exp(-(r*r)/sigma_sqr))/(3.141592 * sigma_sqr); + sum += kernel[x + pixel_radius][y + pixel_radius]; + } + } + + // normalize the kernel + for( size_t i = 0; i != kernel.size() ; ++i) + { + for( size_t j = 0; j != kernel[i].size() ; ++j) + { + kernel[i][j] /= sum; + } + + } + + if ( dbg ) + { + std::cerr << "Here is the kernel : \n"; + for( size_t i = 0; i != kernel.size() ; ++i) + { + for( size_t j = 0; j != kernel[i].size() ; ++j) + { + std::cerr << kernel[i][j] << " "; + } + std::cerr << std::endl; + } + } + return kernel; +} + + +/* +* There are various options to scale the poits depending on their location. One can for instance: +* (1) do nothing (scale all of them with the weight 1), as in the function constant_function +* (2) Scale them by the distance to the diagonal. This is implemented in function +* (3) Scale them with the square of their distance to diagonal. This is implemented in function +* (4) Scale them with +*/ + + +/** + * This is one of a scaling functions used to weight poits depending on their persistence and/or location in the diagram. + * This particular functiona is a finction which always assign value 1 to a point in the diagram. +**/ +class constant_scaling_function +{ +public: + double operator()( const std::pair< double , double >& point_in_diagram ) + { + return 1; + } +}; + + +/** + * This is one of a scaling functions used to weight poits depending on their persistence and/or location in the diagram. + * The scaling given by this function to a point (b,d) is Euclidean distance of (b,d) from diagonal. +**/ +class distance_from_diagonal_scaling +{ +public: + double operator()( const std::pair< double , double >& point_in_diagram ) + { + //(point_in_diagram.first+point_in_diagram.second)/2.0 + return sqrt( pow((point_in_diagram.first-(point_in_diagram.first+point_in_diagram.second)/2.0),2) + pow((point_in_diagram.second-(point_in_diagram.first+point_in_diagram.second)/2.0),2) ); + } +}; + +/** + * This is one of a scaling functions used to weight poits depending on their persistence and/or location in the diagram. + * The scaling given by this function to a point (b,d) is a square of Euclidean distance of (b,d) from diagonal. +**/ +class squared_distance_from_diagonal_scaling +{ +public: + double operator()( const std::pair< double , double >& point_in_diagram ) + { + return pow((point_in_diagram.first-(point_in_diagram.first+point_in_diagram.second)/2.0),2) + pow((point_in_diagram.second-(point_in_diagram.first+point_in_diagram.second)/2.0),2); + } +}; + +/** + * This is one of a scaling functions used to weight poits depending on their persistence and/or location in the diagram. + * The scaling given by this function to a point (b,d) is an arctan of a persistence of a point (i.e. arctan( b-d ). +**/ +class arc_tan_of_persistence_of_point +{ +public: + double operator()( const std::pair< double , double >& point_in_diagram ) + { + return atan( point_in_diagram.second - point_in_diagram.first ); + } +}; + +/** + * This is one of a scaling functions used to weight poits depending on their persistence and/or location in the diagram. + * This scaling function do not only depend on a point (p,d) in the diagram, but it depends on the whole diagram. + * The longest persistence pair get a scaling 1. Any other pair get a scaling belong to [0,1], which is proportional + * to the persistence of that pair. +**/ +class weight_by_setting_maximal_interval_to_have_length_one +{ +public: + weight_by_setting_maximal_interval_to_have_length_one( double len ):letngth_of_maximal_interval(len){} + double operator()( const std::pair< double , double >& point_in_diagram ) + { + return (point_in_diagram.second-point_in_diagram.first)/this->letngth_of_maximal_interval; + } +private: + double letngth_of_maximal_interval; +}; + + +/** + * This class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product +**/ +template +class Persistence_heat_maps +{ +public: + /** + * The default constructor. A scaling function from the diagonal is set up to a constant function. The image is not erased below the diagonal. The gaussian have diameter 5. + **/ + Persistence_heat_maps() + { + Scalling_of_kernels f; + this->f = f; + this->erase_below_diagonal = false; + this->min_ = this->max_ = 0; + this->set_up_parameters_for_basic_classes(); + }; + + /** + * Construction that takes at the input the following parameters: + * (1) A vector of pairs of doubles (representing persistence intervals). All other parameters are optional. They are: + * (2) a Gausian filter generated by create_Gaussian_filter filter (the default value of this vaiable is a Gaussian filter of a radius 5), + * (3) a boolean value which determines if the area of image below diagonal should, or should not be erased (it will be erased by default). + * (4) a number of pixels in each direction (set to 1000 by default). + * (5) a min x and y value of points that are to be taken into account. By default it is set to std::numeric_limits::max(), in which case the program compute the values based on the data, + * (6) a max x and y value of points that are to be taken into account. By default it is set to std::numeric_limits::max(), in which case the program compute the values based on the data. + **/ + Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = std::numeric_limits::max() , double max_ = std::numeric_limits::max() ); + + /** + * Construction that takes at the input a name of a file with persistence intervals, a filter (radius 5 by default), a scaling function (constant by default), a boolean value which determines if the area of image below diagonal should, or should not be erased (should by default). The next parameter is the number of pixels in each direction (set to 1000 by default). and min and max values of images (both set to std::numeric_limits::max() by defaulet. If this is the case, the program will pick the right values based on the data). + **/ + /** + * Construction that takes at the input the following parameters: + * (1) A a name of a file with persistence intervals. The file shold be readable by the function read_persistence_intervals_in_one_dimension_from_file. All other parameters are optional. They are: + * (2) a Gausian filter generated by create_Gaussian_filter filter (the default value of this vaiable is a Gaussian filter of a radius 5), + * (3) a boolean value which determines if the area of image below diagonal should, or should not be erased (it will be erased by default). + * (4) a number of pixels in each direction (set to 1000 by default). + * (5) a min x and y value of points that are to be taken into account. By default it is set to std::numeric_limits::max(), in which case the program compute the values based on the data, + * (6) a max x and y value of points that are to be taken into account. By default it is set to std::numeric_limits::max(), in which case the program compute the values based on the data. + **/ + Persistence_heat_maps( const char* filename , std::vector< std::vector > filter = create_Gaussian_filter(5,1), bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = std::numeric_limits::max() , double max_ = std::numeric_limits::max() , unsigned dimension = std::numeric_limits::max() ); + + + /** + * Compute a mean value of a collection of heat maps and store it in the current object. Note that all the persistence maps send in a vector to this procedure need to have the same parameters. + * If this is not the case, the program will throw an exception. + **/ + void compute_mean( const std::vector& maps ); + + /** + * Compute a median value of a collection of heat maps and store it in the current object. Note that all the persistence maps send in a vector to this procedure need to have the same parameters. + * If this is not the case, the program will throw an exception. + **/ + void compute_median( const std::vector& maps ); + + /** + * Compute a percentage of active (i.e) values above the cutoff of a collection of heat maps. + **/ + void compute_percentage_of_active( const std::vector& maps , size_t cutoff = 1 ); + + //put to file subroutine + /** + * The function outputs the perssitence image to a text file. The format as follow: + * In the first line, the values min and max of the image are stored + * In the next lines, we have the persistence images in a form of a bitmap image. + **/ + void print_to_file( const char* filename )const; + + /** + * A function that load a heat map from file to the current object (and arase qhatever was stored in the current object before). + **/ + void load_from_file( const char* filename ); + + + /** + * The procedure checks if min_, max_ and this->heat_maps sizes are the same. + **/ + inline bool check_if_the_same( const Persistence_heat_maps& second )const + { + bool dbg = false; + if ( this->heat_map.size() != second.heat_map.size() ) + { + if ( dbg )std::cerr << "this->heat_map.size() : " << this->heat_map.size() << " \n second.heat_map.size() : " << second.heat_map.size() << std::endl; + return false; + } + if ( this->min_ != second.min_ ) + { + if ( dbg )std::cerr << "this->min_ : " << this->min_ << ", second.min_ : " << second.min_ << std::endl; + return false; + } + if ( this->max_ != second.max_ ) + { + if ( dbg )std::cerr << "this->max_ : " << this->max_ << ", second.max_ : " << second.max_ << std::endl; + return false; + } + //in the other case we may assume that the persistence images are defined on the same domain. + return true; + } + + + /** + * Return minimal range value of persistent image. + **/ + inline double get_min()const{return this->min_;} + + /** + * Return maximal range value of persistent image. + **/ + inline double get_max()const{return this->max_;} + + + /** + * Operator == to check if to persistence heat maps are the same. + **/ + bool operator == ( const Persistence_heat_maps& rhs )const + { + bool dbg = false; + if ( !this->check_if_the_same(rhs) ) + { + if ( dbg )std::cerr << "The domains are not the same \n"; + return false;//in this case, the domains are not the same, so the maps cannot be the same. + } + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + if ( !almost_equal(this->heat_map[i][j] , rhs.heat_map[i][j]) ) + { + if ( dbg ) + { + std::cerr << "this->heat_map[" << i << "][" << j << "] = " << this->heat_map[i][j] << std::endl; + std::cerr << "rhs.heat_map[" << i << "][" << j << "] = " << rhs.heat_map[i][j] << std::endl; + } + return false; + } + } + } + return true; + } + + /** + * Operator != to check if to persistence heat maps are different. + **/ + bool operator != ( const Persistence_heat_maps& rhs )const + { + return !( (*this) == rhs ); + } + + + /** + * A function to generate a gnuplot script to vizualize the persistent image. + **/ + void plot( const char* filename )const; + + + template + friend Persistence_heat_maps operation_on_pair_of_heat_maps( const Persistence_heat_maps& first , const Persistence_heat_maps& second , Operation_type operation ) + { + //first check if the heat maps are compatible + if ( !first.check_if_the_same( second ) ) + { + std::cerr << "Sizes of the heat maps are not compatible. The program will now terminate \n"; + throw "Sizes of the heat maps are not compatible. The program will now terminate \n"; + } + Persistence_heat_maps result; + result.min_ = first.min_; + result.max_ = first.max_; + result.heat_map.reserve( first.heat_map.size() ); + for ( size_t i = 0 ; i != first.heat_map.size() ; ++i ) + { + std::vector< double > v; + v.reserve( first.heat_map[i].size() ); + for ( size_t j = 0 ; j != first.heat_map[i].size() ; ++j ) + { + v.push_back( operation( first.heat_map[i][j] , second.heat_map[i][j] ) ); + } + result.heat_map.push_back( v ); + } + return result; + }//operation_on_pair_of_heat_maps + + + /** + * Multiplication of Persistence_heat_maps by scalar (so that all values of the heat map gets multiplied by that scalar). + **/ + Persistence_heat_maps multiply_by_scalar( double scalar )const + { + Persistence_heat_maps result; + result.min_ = this->min_; + result.max_ = this->max_; + result.heat_map.reserve( this->heat_map.size() ); + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + std::vector< double > v; + v.reserve( this->heat_map[i].size() ); + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + v.push_back( this->heat_map[i][j] * scalar ); + } + result.heat_map.push_back( v ); + } + return result; + } + + /** + * This function computes a sum of two objects of a type Persistence_heat_maps. + **/ + friend Persistence_heat_maps operator+( const Persistence_heat_maps& first , const Persistence_heat_maps& second ) + { + return operation_on_pair_of_heat_maps( first , second , std::plus() ); + } + /** + * This function computes a difference of two objects of a type Persistence_heat_maps. + **/ + friend Persistence_heat_maps operator-( const Persistence_heat_maps& first , const Persistence_heat_maps& second ) + { + return operation_on_pair_of_heat_maps( first , second , std::minus() ); + } + /** + * This function computes a product of an object of a type Persistence_heat_maps with real number. + **/ + friend Persistence_heat_maps operator*( double scalar , const Persistence_heat_maps& A ) + { + return A.multiply_by_scalar( scalar ); + } + /** + * This function computes a product of an object of a type Persistence_heat_maps with real number. + **/ + friend Persistence_heat_maps operator*( const Persistence_heat_maps& A , double scalar ) + { + return A.multiply_by_scalar( scalar ); + } + /** + * This function computes a product of an object of a type Persistence_heat_maps with real number. + **/ + Persistence_heat_maps operator*( double scalar ) + { + return this->multiply_by_scalar( scalar ); + } + /** + * += operator for Persistence_heat_maps. + **/ + Persistence_heat_maps operator += ( const Persistence_heat_maps& rhs ) + { + *this = *this + rhs; + return *this; + } + /** + * -= operator for Persistence_heat_maps. + **/ + Persistence_heat_maps operator -= ( const Persistence_heat_maps& rhs ) + { + *this = *this - rhs; + return *this; + } + /** + * *= operator for Persistence_heat_maps. + **/ + Persistence_heat_maps operator *= ( double x ) + { + *this = *this*x; + return *this; + } + /** + * /= operator for Persistence_heat_maps. + **/ + Persistence_heat_maps operator /= ( double x ) + { + if ( x == 0 )throw( "In operator /=, division by 0. Program terminated." ); + *this = *this * (1/x); + return *this; + } + + + //Implementations of functions for various concepts. + + /** + * This function produce a vector of doubles based on a persisence heat map. It is required in a concept Vectorized_topological_data + */ + std::vector vectorize( int number_of_function )const; + /** + * This function return the number of functions that allows vectorization of persistence heat map. It is required in a concept Vectorized_topological_data. + **/ + size_t number_of_vectorize_functions()const + { + return this->number_of_functions_for_vectorization; + } + + /** + * This function is required by the Real_valued_topological_data concept. It returns various projections od the persistence heat map to a real line. + **/ + double project_to_R( int number_of_function )const; + /** + * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. + **/ + size_t number_of_projections_to_R()const + { + return this->number_of_functions_for_projections_to_reals; + } + + /** + * A function to compute distance between persistence heat maps. + * The parameter of this function is a const reference to an object of a class Persistence_heat_maps. + * This function is required in Topological_data_with_distances concept. + * For max norm distance, set power to std::numeric_limits::max() + **/ + double distance( const Persistence_heat_maps& second_ , double power = 1)const; + + /** + * A function to compute averaged persistence heat map, based on vector of persistence heat maps. + * This function is required by Topological_data_with_averages concept. + **/ + void compute_average( const std::vector< Persistence_heat_maps* >& to_average ); + + /** + * A function to compute scalar product of persistence heat maps. + * The parameter of this functionis a const reference to an object of a class Persistence_heat_maps. + * This function is required in Topological_data_with_scalar_product concept. + **/ + double compute_scalar_product( const Persistence_heat_maps& second_ )const; + + //end of implementation of functions needed for concepts. + + + /** + * The x-range of the persistence heat map. + **/ + std::pair< double , double > get_x_range()const + { + return std::make_pair( this->min_ , this->max_ ); + } + + /** + * The y-range of the persistence heat map. + **/ + std::pair< double , double > get_y_range()const + { + return this->get_x_range(); + } + + + + +protected: + //private methods + std::vector< std::vector > check_and_initialize_maps( const std::vector& maps ); + size_t number_of_functions_for_vectorization; + size_t number_of_functions_for_projections_to_reals; + void construct( const std::vector< std::pair >& intervals_ , + std::vector< std::vector > filter = create_Gaussian_filter(5,1), + + bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = std::numeric_limits::max() , double max_ = std::numeric_limits::max() ); + + void set_up_parameters_for_basic_classes() + { + this->number_of_functions_for_vectorization = 1; + this->number_of_functions_for_projections_to_reals = 1; + } + + //data + //double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ); + Scalling_of_kernels f; + bool erase_below_diagonal; + double min_; + double max_; + std::vector< std::vector< double > > heat_map; +}; + + +//if min_ == max_, then the program is requested to set up the values itself based on persistence intervals +template +void Persistence_heat_maps::construct( const std::vector< std::pair >& intervals_ , + std::vector< std::vector > filter, + bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) +{ + bool dbg = false; + if ( dbg )std::cerr << "Entering construct procedure \n"; + Scalling_of_kernels f; + this->f = f; + + if ( dbg )std::cerr << "min and max passed to construct() procedure: " << min_ << " " << max_ << std::endl; + + if ( min_ == max_ ) + { + if (dbg)std::cerr << "min and max parameters will be etermined based on intervals \n"; + //in this case, we want the program to set up the min_ and max_ values by itself. + min_ = std::numeric_limits::max(); + max_ = -std::numeric_limits::max(); + + + for ( size_t i = 0 ; i != intervals_.size() ; ++i ) + { + if ( intervals_[i].first < min_ )min_ = intervals_[i].first; + if ( intervals_[i].second > max_ )max_ = intervals_[i].second; + } + //now we have the structure filled in, and moreover we know min_ and max_ values of the interval, so we know the range. + + //add some more space: + min_ -= fabs(max_ - min_)/100; + max_ += fabs(max_ - min_)/100; + } + + if ( dbg ) + { + std::cerr << "min_ : " << min_ << std::endl; + std::cerr << "max_ : " << max_ << std::endl; + std::cerr << "number_of_pixels : " << number_of_pixels << std::endl; + getchar(); + } + + this->min_ = min_; + this->max_ = max_; + + //initialization of the structure heat_map + std::vector< std::vector > heat_map_; + for ( size_t i = 0 ; i != number_of_pixels ; ++i ) + { + std::vector v( number_of_pixels , 0 ); + heat_map_.push_back( v ); + } + this->heat_map = heat_map_; + + if (dbg)std::cerr << "Done creating of the heat map, now we will fill in the structure \n"; + + for ( size_t pt_nr = 0 ; pt_nr != intervals_.size() ; ++pt_nr ) + { + //compute the value of intervals_[pt_nr] in the grid: + int x_grid = (int)((intervals_[pt_nr].first - this->min_)/( this->max_-this->min_ )*number_of_pixels); + int y_grid = (int)((intervals_[pt_nr].second - this->min_)/( this->max_-this->min_ )*number_of_pixels); + + if ( dbg ) + { + std::cerr << "point : " << intervals_[pt_nr].first << " , " << intervals_[pt_nr].second << std::endl; + std::cerr << "x_grid : " << x_grid << std::endl; + std::cerr << "y_grid : " << y_grid << std::endl; + } + + //x_grid and y_grid gives a center of the kernel. We want to have its lower left cordner. To get this, we need to shift x_grid and y_grid by a grid diameter. + x_grid -= filter.size()/2; + y_grid -= filter.size()/2; + //note that the numbers x_grid and y_grid may be negative. + + if ( dbg ) + { + std::cerr << "After shift : \n";; + std::cerr << "x_grid : " << x_grid << std::endl; + std::cerr << "y_grid : " << y_grid << std::endl; + } + + double scaling_value = this->f(intervals_[pt_nr]); + + + for ( size_t i = 0 ; i != filter.size() ; ++i ) + { + for ( size_t j = 0 ; j != filter.size() ; ++j ) + { + //if the point (x_grid+i,y_grid+j) is the correct point in the grid. + if ( + ((x_grid+i)>=0) && (x_grid+iheat_map.size()) + && + ((y_grid+j)>=0) && (y_grid+jheat_map.size()) + ) + { + if ( dbg ){std::cerr << y_grid+j << " " << x_grid+i << std::endl;} + this->heat_map[ y_grid+j ][ x_grid+i ] += scaling_value * filter[i][j]; + if ( dbg ) + { + std::cerr << "Position : (" << x_grid+i << "," << y_grid+j << ") got increased by the value : " << filter[i][j] << std::endl; + } + } + } + } + + } + + //now it remains to cut everything below diagonal if the user wants us to. + if ( erase_below_diagonal ) + { + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = i ; j != this->heat_map.size() ; ++j ) + { + this->heat_map[i][j] = 0; + } + } + } +}//construct + +template +Persistence_heat_maps::Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , + std::vector< std::vector > filter, + bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) +{ + this->construct( interval , filter , erase_below_diagonal , number_of_pixels , min_ , max_ ); + this->set_up_parameters_for_basic_classes(); +} + + +template +Persistence_heat_maps::Persistence_heat_maps( const char* filename , + std::vector< std::vector > filter, + bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ , unsigned dimension ) +{ + std::vector< std::pair< double , double > > intervals_; + if ( dimension == std::numeric_limits::max() ) + { + intervals_ = read_persistence_intervals_in_one_dimension_from_file( filename ); + } + else + { + intervals_ = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); + } + //std::cerr << "intervals_.size() : " << intervals_.size() << std::endl; + //for ( size_t i = 0 ; i != intervals_.size() ; ++i ) + //{ + // std::cerr << intervals_[i].first << " " << intervals_[i].second << std::endl; + //} + this->construct( intervals_ , filter, erase_below_diagonal , number_of_pixels , min_ , max_ ); + this->set_up_parameters_for_basic_classes(); +} + + +template +std::vector< std::vector > Persistence_heat_maps::check_and_initialize_maps( const std::vector& maps ) +{ + //checking if all the heat maps are of the same size: + for ( size_t i = 0 ; i != maps.size() ; ++i ) + { + if ( maps[i]->heat_map.size() != maps[0]->heat_map.size() ) + { + std::cerr << "Sizes of Persistence_heat_maps are not compatible. The program will terminate now \n"; + throw "Sizes of Persistence_heat_maps are not compatible. The program will terminate now \n"; + } + if ( maps[i]->heat_map[0].size() != maps[0]->heat_map[0].size() ) + { + std::cerr << "Sizes of Persistence_heat_maps are not compatible. The program will terminate now \n"; + throw "Sizes of Persistence_heat_maps are not compatible. The program will terminate now \n"; + } + } + std::vector< std::vector > heat_maps( maps[0]->heat_map.size() ); + for ( size_t i = 0 ; i != maps[0]->heat_map.size() ; ++i ) + { + std::vector v( maps[0]->heat_map[0].size() , 0 ); + heat_maps[i] = v; + } + return heat_maps; +} + +template +void Persistence_heat_maps::compute_median( const std::vector& maps ) +{ + std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); + + std::vector to_compute_median( maps.size() ); + for ( size_t i = 0 ; i != heat_maps.size() ; ++i ) + { + for ( size_t j = 0 ; j != heat_maps[i].size() ; ++j ) + { + for ( size_t map_no = 0 ; map_no != maps.size() ; ++map_no ) + { + to_compute_median[map_no] = maps[map_no]->heat_map[i][j]; + } + std::nth_element(to_compute_median.begin(), to_compute_median.begin() + to_compute_median.size()/2, to_compute_median.end()); + heat_maps[i][j] = to_compute_median[ to_compute_median.size()/2 ]; + } + } + this->heat_map = heat_maps; + this->min_= maps[0]->min_; + this->max_= maps[0]->max_; +} + + +template +void Persistence_heat_maps::compute_mean( const std::vector& maps ) +{ + std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); + for ( size_t i = 0 ; i != heat_maps.size() ; ++i ) + { + for ( size_t j = 0 ; j != heat_maps[i].size() ; ++j ) + { + double mean = 0; + for ( size_t map_no = 0 ; map_no != maps.size() ; ++map_no ) + { + mean += maps[map_no]->heat_map[i][j]; + } + heat_maps[i][j] = mean/(double)maps.size(); + } + } + this->heat_map = heat_maps; + this->min_ = maps[0]->min_; + this->max_ = maps[0]->max_; +} + + + +template +void Persistence_heat_maps::compute_percentage_of_active( const std::vector& maps , size_t cutoff ) +{ + std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); + + for ( size_t i = 0 ; i != heat_maps.size() ; ++i ) + { + for ( size_t j = 0 ; j != heat_maps[i].size() ; ++j ) + { + size_t number_of_active_levels = 0; + for ( size_t map_no = 0 ; map_no != maps.size() ; ++map_no ) + { + if ( maps[map_no]->heat_map[i][j] ) number_of_active_levels++; + } + if ( number_of_active_levels > cutoff ) + { + heat_maps[i][j] = number_of_active_levels; + } + else + { + heat_maps[i][j] = 0; + } + } + } + this->heat_map = heat_maps; + this->min_ = maps[0]->min_; + this->max_ = maps[0]->max_; +} + + +template +void Persistence_heat_maps::plot( const char* filename )const +{ + std::ofstream out; + std::stringstream ss; + ss << filename << "_GnuplotScript"; + + out.open( ss.str().c_str() ); + out << "plot '-' matrix with image" << std::endl; + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + out << this->heat_map[i][j] << " "; + } + out << std::endl; + } + out.close(); + std::cout << "Gnuplot script have been created. Open gnuplot and type load \'" << ss.str().c_str() << "\' to see the picture." << std::endl; +} + + +template +void Persistence_heat_maps::print_to_file( const char* filename )const +{ + + std::ofstream out; + out.open( filename ); + + //First we store this->min_ and this->max_ values: + out << this->min_ << " " << this->max_ << std::endl; + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + out << this->heat_map[i][j] << " "; + } + out << std::endl; + } + out.close(); +} + +template +void Persistence_heat_maps::load_from_file( const char* filename ) +{ + bool dbg = false; + + std::ifstream in; + in.open( filename ); + + //checking if the file exist / if it was open. + if ( !in.good() ) + { + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; + } + + //now we read the file one by one. + + + + in >> this->min_ >> this->max_; + if ( dbg ) + { + std::cerr << "Reading the following values of min and max : " << this->min_ << " , " << this->max_ << std::endl; + } + + std::string temp; + std::getline(in, temp); + + while (!in.eof()) + { + std::getline(in, temp); + std::stringstream lineSS; + lineSS << temp; + + std::vector line_of_heat_map; + while ( lineSS.good() ) + { + double point; + + lineSS >> point; + line_of_heat_map.push_back( point ); + if ( dbg ) + { + std::cout << point << " "; + } + } + if ( dbg ) + { + std::cout << std::endl; + getchar(); + } + + if ( in.good() )this->heat_map.push_back( line_of_heat_map ); + } + in.close(); + if ( dbg )std::cout << "Done \n"; +} + + +//Concretizations of virtual methods: +template +std::vector Persistence_heat_maps::vectorize( int number_of_function )const +{ + //convert this->heat_map into one large vector: + size_t size_of_result = 0; + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + size_of_result += this->heat_map[i].size(); + } + + std::vector< double > result; + result.reserve( size_of_result ); + + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + result.push_back( this->heat_map[i][j] ); + } + } + + return result; +} + +template +double Persistence_heat_maps::distance( const Persistence_heat_maps& second , double power )const +{ + //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: + if ( !this->check_if_the_same(second) ) + { + std::cerr << "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; + throw "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; + } + + //if we are here, we know that the two persistence iomages are defined on the same domain, so we can start computing their distances: + + double distance = 0; + if ( power < std::numeric_limits::max() ) + { + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + distance += pow( fabs(this->heat_map[i][j] - second.heat_map[i][j]) , power ); + } + } + } + else + { + //in this case, we compute max norm distance + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + if ( distance < fabs(this->heat_map[i][j] - second.heat_map[i][j]) ) + { + distance = fabs(this->heat_map[i][j] - second.heat_map[i][j]); + } + } + } + } + return distance; +} + +template +double Persistence_heat_maps::project_to_R( int number_of_function )const +{ + double result = 0; + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + result += this->heat_map[i][j]; + } + } + return result; +} + +template +void Persistence_heat_maps::compute_average( const std::vector< Persistence_heat_maps* >& to_average ) +{ + this->compute_mean( to_average ); +} + +template +double Persistence_heat_maps::compute_scalar_product( const Persistence_heat_maps& second )const +{ + //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: + if ( !this->check_if_the_same(second) ) + { + std::cerr << "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; + throw "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; + } + + //if we are here, we know that the two persistence iomages are defined on the same domain, so we can start computing their scalar product: + double scalar_prod = 0; + for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) + { + scalar_prod += this->heat_map[i][j]*second.heat_map[i][j]; + } + } + return scalar_prod; +} + + + + +}//namespace Gudhi_stat +}//namespace Gudhi + + +#endif diff --git a/src/Gudhi_stat/include/gudhi/Persistence_intervals.h b/src/Gudhi_stat/include/gudhi/Persistence_intervals.h new file mode 100644 index 00000000..95e6ae91 --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/Persistence_intervals.h @@ -0,0 +1,697 @@ +/* This file is part of the Gudhi hiLibrary. 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 . + */ + +#ifndef Persistence_intervals_H_ +#define Persistence_intervals_H_ + +//gudhi include +#include + +//standard include +#include +#include +#include +#include +#include +#include +#include + +namespace Gudhi +{ +namespace Persistence_representations +{ + +/** + * This class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data +**/ +class Persistence_intervals +{ +public: + /** + * This is a constructor of a class Persistence_intervals from a text file. Each line of the input file is supposed to contain two numbers of a type doube (or convertable to double) + * representing the birth and the death of the persistence interval. If the pairs are not sorted so that birth <= death, then the constructor will sort then that way. + * * The second parameter of a constructor is a dimension of intervals to be read from a file. If your file contains only birt-death pairs, use the default value. + **/ + Persistence_intervals( const char* filename , unsigned dimension = std::numeric_limits::max() ); + + /** + * This is a constructor of a class Persistence_intervals from a vector of pairs. Each pair is assumed to represent a persistence interval. We assume that the first elemnets of pairs + * are smaller or equal the second elements of pairs. + **/ + Persistence_intervals( const std::vector< std::pair< double,double > >& intervals ); + + /** + * This procedure returns x-range of a given persistence diagram. + **/ + std::pair< double , double > get_x_range()const + { + double min_ = std::numeric_limits::max(); + double max_ = -std::numeric_limits::max(); + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + if ( this->intervals[i].first < min_ )min_ = this->intervals[i].first; + if ( this->intervals[i].second > max_ )max_ = this->intervals[i].second; + } + return std::make_pair( min_ , max_ ); + } + + /** + * This procedure returns y-range of a given persistence diagram. + **/ + std::pair< double , double > get_y_range()const + { + double min_ = std::numeric_limits::max(); + double max_ = -std::numeric_limits::max(); + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + if ( this->intervals[i].second < min_ )min_ = this->intervals[i].second; + if ( this->intervals[i].second > max_ )max_ = this->intervals[i].second; + } + return std::make_pair( min_ , max_ ); + } + + /** + * Procedure that compute the vector of lengths of the dominant (i.e. the longest) persistence intervals. The list is truncated at the parameter of the call where_to_cut (set by default to 100). + **/ + std::vector length_of_dominant_intervals( size_t where_to_cut = 100 )const; + + + /** + * Procedure that compute the vector of the dominant (i.e. the longest) persistence intervals. The parameter of the procedure (set by default to 100) is the number of dominant intervals returned by the procedure. + **/ + std::vector< std::pair > dominant_intervals( size_t where_to_cut = 100 )const; + + /** + * Procedure to compute a histogram of interva's length. A histogram is a block plot. The number of blocks is determined by the first parameter of the function (set by default to 10). + * For the sake of argument let us assume that the length of the longest interval is 1 and the number of bins is 10. In this case the i-th block correspond to a range between i-1/10 and i10. + * The vale of a block supported at the interval is the number of persistence intervals of a length between x_0 and x_1. + **/ + std::vector< size_t > histogram_of_lengths( size_t number_of_bins = 10 )const; + + /** + * Based on a histogram of intervals lengts computed by the function histogram_of_lengths H the procedure below computes the cumulative histogram. The i-th position of the resulting histogram + * is the sume of values of H for the positions from 0 to i. + **/ + std::vector< size_t > cumulative_histogram_of_lengths( size_t number_of_bins = 10 )const; + + /** + * In this procedure we assume that each barcode is a characteristic function of a hight equal to its length. The persistence diagram is a sum of such a functions. The procedure below construct a function being a + * sum of the characteristic functions of persistence intervals. The first two parameters are the range in which the function is to be computed and the last parameter is the number of bins in + * the discretization of the interval [_min,_max]. + **/ + std::vector< double > characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins = 10 )const; + + /** + * Cumulative version of the function characteristic_function_of_diagram + **/ + std::vector< double > cumulative_characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins = 10 )const; + + /** + * Compute the funtion of persistence Betti numbers. The returned value is a vector of pair. First element of each pair is a place where persistence Betti numbers change. + * Second element of each pair is the value of Persistence Betti numbers at that point. + **/ + std::vector< std::pair< double , size_t > > compute_persistent_betti_numbers()const; + + /** + *This is a non optimal procedure that compute vector of distances from each point of diagram to its k-th nearest neighbor (k is a parameted of the program). The resulting vector is by default truncated to 10 + *elements (this value can be changed by using the second parameter of the program). The points are returned in order from the ones which are farthest away from their k-th nearest neighbors. + **/ + std::vector< double > k_n_n( size_t k , size_t where_to_cut = 10 )const; + + /** + * Operator that send the diagram to a stream. + **/ + friend std::ostream& operator << ( std::ostream& out , const Persistence_intervals& intervals ) + { + for ( size_t i = 0 ; i != intervals.intervals.size() ; ++i ) + { + out << intervals.intervals[i].first << " " << intervals.intervals[i].second << std::endl; + } + return out; + } + + /** + * Generating gnuplot script to plot the interval. + **/ + void plot( const char* filename , double min_x = std::numeric_limits::max() , double max_x = std::numeric_limits::max() , double min_y = std::numeric_limits::max() , double max_y = std::numeric_limits::max() ) const + { + //this program create a gnuplot script file that allows to plot persistence diagram. + std::ofstream out; + + std::ostringstream nameSS; + nameSS << filename << "_GnuplotScript"; + std::string nameStr = nameSS.str(); + out.open( nameStr ); + + std::pair min_max_values = this->get_x_range(); + if ( min_x == max_x ) + { + out << "set xrange [" << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " : " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " ]" << std::endl; + out << "set yrange [" << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " : " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " ]" << std::endl; + } + else + { + out << "set xrange [" << min_x << " : " << max_x << " ]" << std::endl; + out << "set yrange [" << min_y << " : " << max_y << " ]" << std::endl; + } + out << "plot '-' using 1:2 notitle \"" << filename << "\", \\" << std::endl; + out << " '-' using 1:2 notitle with lp" << std::endl; + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + out << this->intervals[i].first << " " << this->intervals[i].second << std::endl; + } + out << "EOF" << std::endl; + out << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " " << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << std::endl; + out << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << std::endl; + + out.close(); + + std::cout << "Gnuplot script to visualize persistence diagram written to the file: " << nameStr << ". Type load '" << nameStr << "' in gnuplot to visualize." << std::endl; + } + + + + + /** + * Retun numbr of points in the diagram. + **/ + size_t size()const{return this->intervals.size();} + + /** + * Return the persistence interval at the given position. Note that intervals are not sorted with respect to their lengths. + **/ + inline std::pair< double,double > operator [](size_t i)const + { + if ( i >= this->intervals.size() )throw("Index out of range! Operator [], one_d_gaussians class\n"); + return this->intervals[i]; + } + + + + + + + + + + + + + + + + //Implementations of functions for various concepts. + /** + * This is a simple function projectig the persistence intervals to a real number. The function we use here is a sum of squared lendgths of intervals. It can be naturally interpreted as + * sum of step function, where the step hight it equal to the length of the interval. + **/ + double project_to_R( int number_of_function )const; + /** + * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. + **/ + size_t number_of_projections_to_R()const + { + return this->number_of_functions_for_projections_to_reals; + } + + /** + * Return a familly of vectors obtained from the persistence diagram. The i-th vector consist of the lenfth of i dominant persistence intervals. + **/ + std::vector vectorize( int number_of_function )const + { + return this->length_of_dominant_intervals( number_of_function ); + } + /** + * This function return the number of functions that allows vectorization of a persisence diagram. It is required in a concept Vectorized_topological_data. + **/ + size_t number_of_vectorize_functions()const + { + return this->number_of_functions_for_vectorization; + } + + //end of implementation of functions needed for concepts. + //end of implementation of functions needed for concepts. + + + + + + + + + + + + + + //For visualization use output from vectorize and build histograms. + std::vector< std::pair< double,double > > output_for_visualization() + { + return this->intervals; + } + +protected: + + void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() + { + //warning, this function can be only called after filling in the intervals vector. + this->number_of_functions_for_vectorization = this->intervals.size(); + this->number_of_functions_for_projections_to_reals = 1; + } + + std::vector< std::pair< double,double > > intervals; + size_t number_of_functions_for_vectorization; + size_t number_of_functions_for_projections_to_reals; +}; + + +Persistence_intervals::Persistence_intervals( const char* filename , unsigned dimension ) +{ + //bool dbg = false; + //ifstream in; + //in.open( filename ); + + //if ( !in.good() ) + //{ + // throw("File with the persistence diagram do not exist, the program will now terminate.\n"); + //} + + //while ( true ) + //{ + // double first; + // double second; + // in >> first >> second; + + // if ( first > second ) + // { + // double buf = first; + // first = second; + // second = buf; + // } + + // if ( in.eof() )break; + // this->intervals.push_back( std::make_pair( first,second ) ); + // if ( dbg ) + // { + // std::cerr << "Adding interval [ " << first << " , " << second << " ]\n"; + // getchar(); + // } + //} + //in.close(); + if ( dimension == std::numeric_limits::max() ) + { + this->intervals = read_persistence_intervals_in_one_dimension_from_file( filename ); + } + else + { + this->intervals = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); + } + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); +}//Persistence_intervals + + +Persistence_intervals::Persistence_intervals( const std::vector< std::pair< double , double > >& intervals_ ):intervals(intervals_) +{ + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); +} + + +std::vector< double > Persistence_intervals::length_of_dominant_intervals( size_t where_to_cut )const +{ + std::vector< double > result( this->intervals.size() ); + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + result[i] = this->intervals[i].second - this->intervals[i].first; + } + std::sort( result.begin() , result.end() , std::greater() ); + + + result.resize( std::min(where_to_cut,result.size()) ); + return result; +}//length_of_dominant_intervals + + + +bool compare( const std::pair< size_t , double >& first , const std::pair< size_t , double >& second ) +{ + return first.second > second.second; +} + + +std::vector< std::pair > Persistence_intervals::dominant_intervals( size_t where_to_cut )const +{ + bool dbg = false; + std::vector< std::pair< size_t , double > > position_length_vector( this->intervals.size() ); + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + position_length_vector[i] = std::make_pair( i , this->intervals[i].second - this->intervals[i].first ); + } + + std::sort( position_length_vector.begin() , position_length_vector.end() , compare ); + + std::vector< std::pair > result; + result.reserve( std::min( where_to_cut , position_length_vector.size() ) ); + + for ( size_t i = 0 ; i != std::min( where_to_cut , position_length_vector.size() ) ; ++i ) + { + result.push_back( this->intervals[ position_length_vector[i].first ] ); + if ( dbg )std::cerr << "Position : " << position_length_vector[i].first << " length : " << position_length_vector[i].second << std::endl; + } + + return result; +}//dominant_intervals + + +std::vector< size_t > Persistence_intervals::histogram_of_lengths( size_t number_of_bins )const +{ + bool dbg = false; + + if ( dbg )std::cerr << "this->intervals.size() : " << this->intervals.size() << std::endl; + //first find the length of the longest interval: + double lengthOfLongest = 0; + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + if ( (this->intervals[i].second - this->intervals[i].first) > lengthOfLongest ) + { + lengthOfLongest = this->intervals[i].second - this->intervals[i].first; + } + } + + if ( dbg ){std::cerr << "lengthOfLongest : " << lengthOfLongest << std::endl;} + + //this is a container we will use to store the resulting histogram + std::vector< size_t > result( number_of_bins + 1 , 0 ); + + //for every persistence interval in our collection. + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + //compute its length relative to the length of the dominant interval: + double relative_length_of_this_interval = (this->intervals[i].second - this->intervals[i].first)/lengthOfLongest; + + //given the relative length (between 0 and 1) compute to which bin should it contribute. + size_t position = (size_t)(relative_length_of_this_interval*number_of_bins); + + + ++result[position]; + + if ( dbg ) + { + std::cerr << "i : " << i << std::endl; + std::cerr << "Interval : [" << this->intervals[i].first << " , " << this->intervals[i].second << " ] \n"; + std::cerr << "relative_length_of_this_interval : " << relative_length_of_this_interval << std::endl; + std::cerr << "position : " << position << std::endl; + getchar(); + } + } + + + if ( dbg ){for ( size_t i = 0 ; i != result.size() ; ++i )std::cerr << result[i] << std::endl;} + return result; +} + + +std::vector< size_t > Persistence_intervals::cumulative_histogram_of_lengths( size_t number_of_bins )const +{ + std::vector< size_t > histogram = this->histogram_of_lengths( number_of_bins ); + std::vector< size_t > result( histogram.size() ); + + size_t sum = 0; + for ( size_t i = 0 ; i != histogram.size() ; ++i ) + { + sum += histogram[i]; + result[i] = sum; + } + return result; +} + + +std::vector< double > Persistence_intervals::characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins )const +{ + bool dbg = false; + + std::vector< double > result( number_of_bins ); + std::fill( result.begin() , result.end() , 0 ); + + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + if ( dbg ) + { + std::cerr << "Interval : " << this->intervals[i].first << " , " << this->intervals[i].second << std::endl; + } + + size_t beginIt = 0; + if ( this->intervals[i].first < x_min )beginIt = 0; + if ( this->intervals[i].first >= x_max )beginIt = result.size(); + if ( ( this->intervals[i].first > x_min ) && ( this->intervals[i].first < x_max ) ) + { + beginIt = number_of_bins*(this->intervals[i].first-x_min)/(x_max - x_min); + } + + size_t endIt = 0; + if ( this->intervals[i].second < x_min )endIt = 0; + if ( this->intervals[i].second >= x_max )endIt = result.size(); + if ( ( this->intervals[i].second > x_min ) && ( this->intervals[i].second < x_max ) ) + { + endIt = number_of_bins*( this->intervals[i].second - x_min )/(x_max - x_min); + } + + if ( beginIt > endIt ){beginIt = endIt;} + + if ( dbg ) + { + std::cerr << "beginIt : " << beginIt << std::endl; + std::cerr << "endIt : " << endIt << std::endl; + } + + + for ( size_t pos = beginIt ; pos != endIt ; ++pos ) + { + result[pos] += ( (x_max - x_min)/(double)number_of_bins ) * ( this->intervals[i].second - this->intervals[i].first ); + } + //cerr << "x_max : " << x_max << " x_min : " << x_min << " , number_of_bins : " << number_of_bins << " this->intervals[i].second : " << this->intervals[i].second << " this->intervals[i].first : " << this->intervals[i].first << endl; + if ( dbg ) + { + std::cerr << "Result at this stage \n"; + for ( size_t aa = 0 ; aa != result.size() ; ++aa ) + { + std::cerr << result[aa] << " "; + } + std::cerr << std::endl; + //getchar(); + } + } + return result; +}//characteristic_function_of_diagram + + + +std::vector< double > Persistence_intervals::cumulative_characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins )const +{ + std::vector< double > intsOfBars = this->characteristic_function_of_diagram( x_min , x_max , number_of_bins ); + std::vector< double > result( intsOfBars.size() ); + double sum = 0; + for ( size_t i = 0 ; i != intsOfBars.size() ; ++i ) + { + sum += intsOfBars[i]; + result[i] = sum; + } + return result; +}//cumulative_characteristic_function_of_diagram + + +template +bool compare_first_element_of_pair( const std::pair< T , bool >& f, const std::pair< T , bool >& s ) +{ + return (f.first < s.first); +} + + +std::vector< std::pair< double , size_t > > Persistence_intervals::compute_persistent_betti_numbers()const +{ + std::vector< std::pair< double , bool > > places_where_pbs_change( 2*this->intervals.size() ); + + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + places_where_pbs_change[2*i] = std::make_pair( this->intervals[i].first , true ); + places_where_pbs_change[2*i+1] = std::make_pair( this->intervals[i].second , false ); + } + + std::sort( places_where_pbs_change.begin() , places_where_pbs_change.end() , compare_first_element_of_pair ); + size_t pbn = 0; + std::vector< std::pair< double , size_t > > pbns( places_where_pbs_change.size() ); + for ( size_t i = 0 ; i != places_where_pbs_change.size() ; ++i ) + { + if ( places_where_pbs_change[i].second == true ) + { + ++pbn; + } + else + { + --pbn; + } + pbns[i] = std::make_pair( places_where_pbs_change[i].first , pbn ); + } + return pbns; +} + + + + + + +inline double compute_euclidean_distance( const std::pair< double,double > & f , const std::pair< double,double > & s ) +{ + return sqrt( (f.first-s.first)*(f.first-s.first) + (f.second-s.second)*(f.second-s.second) ); +} + + +std::vector< double > Persistence_intervals::k_n_n( size_t k , size_t where_to_cut )const +{ + bool dbg = false; + if ( dbg ) + { + std::cerr << "Here are the intervals : \n"; + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + std::cerr << "[ " << this->intervals[i].first << " , " << this->intervals[i].second << "] \n"; + } + getchar(); + } + + std::vector< double > result; + //compute all to all distance between point in the diagram. Also, consider points in the diagonal with the infinite multiplicity. + std::vector< std::vector< double > > distances( this->intervals.size() ); + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + std::vector aa(this->intervals.size()); + std::fill( aa.begin() , aa.end() , 0 ); + distances[i] = aa; + } + std::vector< double > distances_from_diagonal( this->intervals.size() ); + std::fill( distances_from_diagonal.begin() , distances_from_diagonal.end() , 0 ); + + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + std::vector< double > distancesFromI; + for ( size_t j = i+1 ; j != this->intervals.size() ; ++j ) + { + distancesFromI.push_back( compute_euclidean_distance( this->intervals[i] , this->intervals[j] ) ); + } + //distances.push_back( distancesFromI ); + //also add a distance from this guy to daigonal: + double distanceToDiagonal = compute_euclidean_distance( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first + this->intervals[i].second) , 0.5*(this->intervals[i].first + this->intervals[i].second) ) ); + distances_from_diagonal[i] = distanceToDiagonal; + + if ( dbg ) + { + std::cerr << "Here are the distances form the point : [" << this->intervals[i].first << " , " << this->intervals[i].second << "] in the diagram \n"; + for ( size_t aa = 0 ; aa != distancesFromI.size() ; ++aa ) + { + std::cerr << "To : " << i+aa << " : " << distancesFromI[aa] << " "; + } + std::cerr << std::endl; + getchar(); + } + + //filling in the distances matrix: + for ( size_t j = i+1 ; j != this->intervals.size() ; ++j ) + { + distances[i][j] = distancesFromI[j-i-1]; + distances[j][i] = distancesFromI[j-i-1]; + } + } + if ( dbg ) + { + std::cerr << "Here is the distance matrix : \n"; + for ( size_t i = 0 ; i != distances.size() ; ++i ) + { + for ( size_t j = 0 ; j != distances.size() ; ++j ) + { + std::cerr << distances[i][j] << " "; + } + std::cerr << std::endl; + } + std::cerr << std::endl << std::endl << "And here are the distances to the diagonal : " << std::endl; + for ( size_t i = 0 ; i != distances_from_diagonal. size() ; ++i ) + { + std::cerr << distances_from_diagonal[i] << " "; + } + std::cerr << std::endl << std::endl; + getchar(); + } + + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + std::vector< double > distancesFromI = distances[i]; + distancesFromI.push_back( distances_from_diagonal[i] ); + + //sort it: + std::sort( distancesFromI.begin() , distancesFromI.end() , std::greater() ); + + if ( k > distancesFromI.size() ) + { + if ( dbg ) + { + std::cerr << "There are not enough neighbors in your set. We set the result to plus infty \n"; + } + result.push_back( std::numeric_limits::max() ); + } + else + { + if ( distances_from_diagonal[i] > distancesFromI[k] ) + { + if ( dbg ) + { + std::cerr << "The k-th n.n. is on a diagonal. Therefore we set up a distance to diagonal \n"; + } + result.push_back( distances_from_diagonal[i] ); + } + else + { + result.push_back( distancesFromI[k] ); + } + } + } + std::sort( result.begin() , result.end() , std::greater() ); + result.resize( std::min( result.size() , where_to_cut ) ); + + return result; +} + + +double Persistence_intervals::project_to_R( int number_of_function )const +{ + double result = 0; + + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + result += ( this->intervals[i].second - this->intervals[i].first )*( this->intervals[i].second - this->intervals[i].first ); + } + + return result; +} + + +}//namespace gudhi stat +}//namespace gudhi + +#endif diff --git a/src/Gudhi_stat/include/gudhi/Persistence_intervals_with_distances.h b/src/Gudhi_stat/include/gudhi/Persistence_intervals_with_distances.h new file mode 100644 index 00000000..60343dc1 --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/Persistence_intervals_with_distances.h @@ -0,0 +1,65 @@ +/* This file is part of the Gudhi hiLibrary. 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 . + */ + +#ifndef Persistence_intervals_WITH_DISTANCES_H_ +#define Persistence_intervals_WITH_DISTANCES_H_ + + +#include +#include + +namespace Gudhi +{ +namespace Persistence_representations +{ + +class Persistence_intervals_with_distances : public Persistence_intervals +{ +public: + using Persistence_intervals::Persistence_intervals; + + /** + *Computations of distance from the current persistnce diagram to the persistence diagram given as a parameter of this function. + *The last but one parameter, power, is here in case we would like to compute p=th Wasserstein distance. At the moment, this method only implement Bottleneck distance, + * which is infinity Wasserstein distance. Therefore any power which is not the default std::numeric_limits< double >::max() will be ignored and an + * exception will be thrown. + * The last parameter, tolerance, it is an additiv error of the approimation, set by default to zero. + **/ + double distance( const Persistence_intervals_with_distances& second , double power = std::numeric_limits< double >::max() , double tolerance = 0) const + { + if ( power >= std::numeric_limits< double >::max() ) + { + return Gudhi::persistence_diagram::bottleneck_distance(this->intervals, second.intervals, tolerance); + } + else + { + std::cerr << "At the moment Gudhi do not support Wasserstein distances. We only support Bottleneck distance." << std::endl; + throw "At the moment Gudhi do not support Wasserstein distances. We only support Bottleneck distance."; + } + } +}; + + +}//namespace gudhi stat +}//namespace gudhi + +#endif diff --git a/src/Gudhi_stat/include/gudhi/Persistence_landscape.h b/src/Gudhi_stat/include/gudhi/Persistence_landscape.h new file mode 100644 index 00000000..9150e507 --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/Persistence_landscape.h @@ -0,0 +1,1503 @@ +/* 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 . + */ + + +#ifndef Persistence_landscapes_H +#define Persistence_landscapes_H + +//standard include +#include +#include +#include +#include +#include +#include +#include + + +//gudhi include +#include +#include + + + + +namespace Gudhi +{ +namespace Persistence_representations +{ + + + +//predeclaration +class Persistence_landscape; +template < typename operation > +Persistence_landscape operation_on_pair_of_landscapes( const Persistence_landscape& land1 , const Persistence_landscape& land2 ); + + + +/** + * A clas implementing persistence landascpes data structures. For theroretical desciritpion, please consult a paper ''Statistical topological data analysis using persistence landscapes'' by Peter Bubenik. + * For details of algorithms, please consult ''A persistence landscapes toolbox for topological statistics'' by Peter Bubenik and Pawel Dlotko. + * Persistence landscapes allow vertorization, computations of distances, computations of projections to Real, computations of averages and scalar products. Therefore they implement suitable interfaces. + * It implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product + * Note that at the moment, due to roundoff errors during the construction of persistence landscapes, elements which are different by 0.000005 are considered the same. If the scale in your persistence diagrams + * is comparable to this value, please rescale them before use this code. +**/ +class Persistence_landscape +{ +public: + /** + * Default constructor. + **/ + Persistence_landscape() + { + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); + } + + /** + * Constructor that takes as an input a vector of birth-death pairs. + **/ + Persistence_landscape( const std::vector< std::pair< double , double > >& p ); + + /** + * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed + * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. + **/ + Persistence_landscape(const char* filename , size_t dimension = std::numeric_limits::max() ); + + + + /** + * This procedure loads a landscape from file. It erase all the data that was previously stored in this landscape. + **/ + void load_landscape_from_file( const char* filename ); + + + /** + * The procedure stores a landscape to a file. The file can be later used by a procedure load_landscape_from_file. + **/ + void print_to_file( const char* filename )const; + + + + /** + * This function compute integral of the landscape (defined formally as sum of integrals on R of all landscape functions) + **/ + double compute_integral_of_landscape()const; + + + /** + * This function compute integral of the 'level'-level of a landscape. + **/ + double compute_integral_of_a_level_of_a_landscape( size_t level )const; + + + /** + * This function compute integral of the landscape p-th power of a landscape (defined formally as sum of integrals on R of p-th powers of all landscape functions) + **/ + double compute_integral_of_landscape( double p )const;//this function compute integral of p-th power of landscape. + + + /** + * A function that computes the value of a landscape at a given point. The parameters of the function are: unsigned level and double x. + * The procedure will compute the value of the level-landscape at the point x. + **/ + double compute_value_at_a_given_point( unsigned level , double x )const; + + /** + * Writing landscape into a stream. A i-th level landscape starts with a string "lambda_i". Then the discontinuity points of the landscapes follows. + * Shall those points be joined with lines, we will obtain the i-th landscape function. + **/ + friend std::ostream& operator<<(std::ostream& out, Persistence_landscape& land ); + + template < typename operation > + friend Persistence_landscape operation_on_pair_of_landscapes( const Persistence_landscape& land1 , const Persistence_landscape& land2 ); + + + + + /** + *\private A function that compute sum of two landscapes. + **/ + friend Persistence_landscape add_two_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 ) + { + return operation_on_pair_of_landscapes< std::plus >(land1,land2); + } + + /** + *\private A function that compute difference of two landscapes. + **/ + friend Persistence_landscape subtract_two_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 ) + { + return operation_on_pair_of_landscapes< std::minus >(land1,land2); + } + + /** + * An operator +, that compute sum of two landscapes. + **/ + friend Persistence_landscape operator+( const Persistence_landscape& first , const Persistence_landscape& second ) + { + return add_two_landscapes( first,second ); + } + + /** + * An operator -, that compute difference of two landscapes. + **/ + friend Persistence_landscape operator-( const Persistence_landscape& first , const Persistence_landscape& second ) + { + return subtract_two_landscapes( first,second ); + } + + /** + * An operator * that allows multipilication of a landscape by a real number. + **/ + friend Persistence_landscape operator*( const Persistence_landscape& first , double con ) + { + return first.multiply_lanscape_by_real_number_not_overwrite(con); + } + + /** + * An operator * that allows multipilication of a landscape by a real number (order of parameters swapped). + **/ + friend Persistence_landscape operator*( double con , const Persistence_landscape& first ) + { + return first.multiply_lanscape_by_real_number_not_overwrite(con); + } + + /** + * Operator +=. The second parameter is persistence landscape. + **/ + Persistence_landscape operator += ( const Persistence_landscape& rhs ) + { + *this = *this + rhs; + return *this; + } + + /** + * Operator -=. The second parameter is a persistence landscape. + **/ + Persistence_landscape operator -= ( const Persistence_landscape& rhs ) + { + *this = *this - rhs; + return *this; + } + + + /** + * Operator *=. The second parameter is a real number by which the y values of all landscape functions are multiplied. The x-values remain unchanged. + **/ + Persistence_landscape operator *= ( double x ) + { + *this = *this*x; + return *this; + } + + /** + * Operator /=. The second parameter is a real number. + **/ + Persistence_landscape operator /= ( double x ) + { + if ( x == 0 )throw( "In operator /=, division by 0. Program terminated." ); + *this = *this * (1/x); + return *this; + } + + /** + * An operator to compare two persistence landscapes. + **/ + bool operator == ( const Persistence_landscape& rhs )const; + + + /** + * An operator to compare two persistence landscapes. + **/ + bool operator != ( const Persistence_landscape& rhs )const + { + return !((*this) == rhs); + } + + + /** + * Computations of maximum (y) value of landscape. + **/ + double compute_maximum()const + { + double maxValue = 0; + if ( this->land.size() ) + { + maxValue = -std::numeric_limits::max(); + for ( size_t i = 0 ; i != this->land[0].size() ; ++i ) + { + if ( this->land[0][i].second > maxValue )maxValue = this->land[0][i].second; + } + } + return maxValue; + } + + + /** + *\private Computations of minimum (y) value of landscape. + **/ + double compute_minimum()const + { + double minValue = 0; + if ( this->land.size() ) + { + minValue = std::numeric_limits::max(); + for ( size_t i = 0 ; i != this->land[0].size() ; ++i ) + { + if ( this->land[0][i].second < minValue )minValue = this->land[0][i].second; + } + } + return minValue; + } + + /** + *\private Computations of a \f$L^i\f$ norm of landscape, where i is the input parameter. + **/ + double compute_norm_of_landscape( double i ) + { + Persistence_landscape l; + if ( i < std::numeric_limits< double >::max() ) + { + return compute_distance_of_landscapes(*this,l,i); + } + else + { + return compute_max_norm_distance_of_landscapes(*this,l); + } + } + + /** + * An operator to compute the value of a landscape in the level 'level' at the argument 'x'. + **/ + double operator()(unsigned level,double x)const{return this->compute_value_at_a_given_point(level,x);} + + /** + *\private Computations of \f$L^{\infty}\f$ distance between two landscapes. + **/ + friend double compute_max_norm_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second ); + //friend double compute_max_norm_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second , unsigned& nrOfLand , double&x , double& y1, double& y2 ); + + + /** + *\private Computations of \f$L^{p}\f$ distance between two landscapes. p is the parameter of the procedure. + **/ + friend double compute_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second , double p ); + + + + /** + * Function to compute absolute value of a PL function. The representation of persistence landscapes allow to store general PL-function. When computing distance betwen two landscapes, we compute difference between + * them. In this case, a general PL-function with negative value can appear as a result. Then in order to compute distance, we need to take its absolute value. This is the purpose of this procedure. + **/ + Persistence_landscape abs(); + + /** + * Computes the number of landscape functions. + **/ + size_t size()const{return this->land.size(); } + + /** + * Computate maximal value of lambda-level landscape. + **/ + double find_max( unsigned lambda )const; + + /** + *\private Function to compute inner (scalar) product of two landscapes. + **/ + friend double compute_inner_product( const Persistence_landscape& l1 , const Persistence_landscape& l2 ); + + + + + + + + + + + + + + + + //Implementations of functions for various concepts. + + /** + * The number of projections to R is defined to the number of nonzero landscape functions. I-th projection is an integral of i-th landscape function over whole R. + * This function is required by the Real_valued_topological_data concept. + **/ + double project_to_R( int number_of_function )const + { + return this->compute_integral_of_a_level_of_a_landscape( (size_t)number_of_function ); + } + + /** + * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. + **/ + size_t number_of_projections_to_R()const + { + return this->number_of_functions_for_projections_to_reals; + } + + /** + * This function produce a vector of doubles based on a landscape. It is required in a concept Vectorized_topological_data + */ + std::vector vectorize( int number_of_function )const + { + //TODO, think of something smarter over here + std::vector v; + if ( (size_t)number_of_function > this->land.size() ) + { + return v; + } + v.reserve( this->land[number_of_function].size() ); + for ( size_t i = 0 ; i != this->land[number_of_function].size() ; ++i ) + { + v.push_back( this->land[number_of_function][i].second ); + } + return v; + } + /** + * This function return the number of functions that allows vectorization of persistence laandscape. It is required in a concept Vectorized_topological_data. + **/ + size_t number_of_vectorize_functions()const + { + return this->number_of_functions_for_vectorization; + } + + /** + * A function to compute averaged persistence landscape, based on vector of persistence landscapes. + * This function is required by Topological_data_with_averages concept. + **/ + void compute_average( const std::vector< Persistence_landscape* >& to_average ) + { + bool dbg = false; + + if ( dbg ){std::cerr << "to_average.size() : " << to_average.size() << std::endl;} + + std::vector< Persistence_landscape* > nextLevelMerge( to_average.size() ); + for ( size_t i = 0 ; i != to_average.size() ; ++i ) + { + nextLevelMerge[i] = to_average[i]; + } + bool is_this_first_level = true;//in the loop, we will create dynamically a unmber of intermediate complexes. We have to clean that up, but we cannot erase the initial andscapes we have + //to average. In this case, we simply check if the nextLevelMerge are the input landscapes or the ones created in that loop by usig this extra variable. + + while ( nextLevelMerge.size() != 1 ) + { + if ( dbg ){std::cerr << "nextLevelMerge.size() : " << nextLevelMerge.size() << std::endl;} + std::vector< Persistence_landscape* > nextNextLevelMerge; + nextNextLevelMerge.reserve( to_average.size() ); + for ( size_t i = 0 ; i < nextLevelMerge.size() ; i=i+2 ) + { + if ( dbg ){std::cerr << "i : " << i << std::endl;} + Persistence_landscape* l = new Persistence_landscape; + if ( i+1 != nextLevelMerge.size() ) + { + (*l) = (*nextLevelMerge[i])+(*nextLevelMerge[i+1]); + } + else + { + (*l) = *nextLevelMerge[i]; + } + nextNextLevelMerge.push_back( l ); + } + if ( dbg ){std::cerr << "After this iteration \n";getchar();} + + if ( !is_this_first_level ) + { + //deallocate the memory if the vector nextLevelMerge do not consist of the initial landscapes + for ( size_t i = 0 ; i != nextLevelMerge.size() ; ++i ) + { + delete nextLevelMerge[i]; + } + } + is_this_first_level = false; + nextLevelMerge.swap(nextNextLevelMerge); + } + (*this) = (*nextLevelMerge[0]); + (*this) *= 1/( (double)to_average.size() ); + } + + + /** + * A function to compute distance between persistence landscape. + * The parameter of this functionis a Persistence_landscape. + * This function is required in Topological_data_with_distances concept. + * For max norm distance, set power to std::numeric_limits::max() + **/ + double distance( const Persistence_landscape& second , double power = 1 )const + { + if ( power < std::numeric_limits::max() ) + { + return compute_distance_of_landscapes( *this , second , power ); + } + else + { + return compute_max_norm_distance_of_landscapes( *this , second ); + } + } + + + /** + * A function to compute scalar product of persistence landscapes. + * The parameter of this functionis a Persistence_landscape. + * This function is required in Topological_data_with_scalar_product concept. + **/ + double compute_scalar_product( const Persistence_landscape& second )const + { + return compute_inner_product( (*this) , second ); + } + //end of implementation of functions needed for concepts. + + + // + // This procedure returns x-range of a given level persistence landscape. If a default value is used, the x-range + //of 0th level landscape is given (and this range contains the ranges of all other landscapes). + // + //std::pair< double , double > get_x_range( size_t level = 0 )const + //{ + // std::pair< double , double > result; + // if ( level < this->land.size() ) + // { + // result = std::make_pair( this->land[level][1].first , this->land[level][ this->land[level].size() - 2 ].first ); + // } + // else + // { + // result = std::make_pair( 0,0 ); + // } + // return result; + //} + + /** + * This procedure returns y-range of a given level persistence landscape. If a default value is used, the y-range + * of 0th level landscape is given (and this range contains the ranges of all other landscapes). + **/ + std::pair< double , double > get_y_range( size_t level = 0 )const + { + std::pair< double , double > result; + if ( level < this->land.size() ) + { + double maxx = this->compute_maximum(); + double minn = this->compute_minimum(); + result = std::make_pair( minn , maxx ); + } + else + { + result = std::make_pair( 0,0 ); + } + return result; + } + + + + //a function used to create a gnuplot script for visualization of landscapes + void plot( const char* filename, double xRangeBegin = std::numeric_limits::max() , double xRangeEnd = std::numeric_limits::max() , + double yRangeBegin = std::numeric_limits::max() , double yRangeEnd = std::numeric_limits::max(), + int from = std::numeric_limits::max(), int to = std::numeric_limits::max() ); + + +protected: + std::vector< std::vector< std::pair > > land; + size_t number_of_functions_for_vectorization; + size_t number_of_functions_for_projections_to_reals; + + void construct_persistence_landscape_from_barcode( const std::vector< std::pair< double , double > > & p ); + Persistence_landscape multiply_lanscape_by_real_number_not_overwrite( double x )const; + void multiply_lanscape_by_real_number_overwrite( double x ); + friend double compute_maximal_distance_non_symmetric( const Persistence_landscape& pl1, const Persistence_landscape& pl2 ); + + void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() + { + //warning, this function can be only called after filling in the intervals vector. + this->number_of_functions_for_vectorization = this->land.size(); + this->number_of_functions_for_projections_to_reals = this->land.size(); + } +}; + + + + + + + + +Persistence_landscape::Persistence_landscape(const char* filename , size_t dimension) +{ + bool dbg = false; + + if ( dbg ) + { + std::cerr << "Using constructor : Persistence_landscape(char* filename)" << std::endl; + } + std::vector< std::pair< double , double > > barcode; + if ( dimension == std::numeric_limits::max() ) + { + barcode = read_persistence_intervals_in_one_dimension_from_file( filename ); + } + else + { + barcode = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); + } + this->construct_persistence_landscape_from_barcode( barcode ); + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); +} + + +bool operatorEqualDbg = false; +bool Persistence_landscape::operator == ( const Persistence_landscape& rhs )const +{ + if ( this->land.size() != rhs.land.size() ) + { + if (operatorEqualDbg)std::cerr << "1\n"; + return false; + } + for ( size_t level = 0 ; level != this->land.size() ; ++level ) + { + if ( this->land[level].size() != rhs.land[level].size() ) + { + if (operatorEqualDbg)std::cerr << "this->land[level].size() : " << this->land[level].size() << "\n"; + if (operatorEqualDbg)std::cerr << "rhs.land[level].size() : " << rhs.land[level].size() << "\n"; + if (operatorEqualDbg)std::cerr << "2\n"; + return false; + } + for ( size_t i = 0 ; i != this->land[level].size() ; ++i ) + { + if ( !( almost_equal(this->land[level][i].first , rhs.land[level][i].first) && almost_equal(this->land[level][i].second , rhs.land[level][i].second) ) ) + { + //std::cerr<< this->land[level][i].first << " , " << rhs.land[level][i].first << " and " << this->land[level][i].second << " , " << rhs.land[level][i].second << std::endl; + if (operatorEqualDbg)std::cerr << "this->land[level][i] : " << this->land[level][i].first << " " << this->land[level][i].second << "\n"; + if (operatorEqualDbg)std::cerr << "rhs.land[level][i] : " << rhs.land[level][i].first << " " << rhs.land[level][i].second << "\n"; + if (operatorEqualDbg)std::cerr << "3\n"; + return false; + } + } + } + return true; +} + + + + +Persistence_landscape::Persistence_landscape( const std::vector< std::pair< double , double > > & p ) +{ + this->construct_persistence_landscape_from_barcode( p ); + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); +} + + +void Persistence_landscape::construct_persistence_landscape_from_barcode( const std::vector< std::pair< double , double > > & p ) +{ + bool dbg = false; + if ( dbg ){std::cerr << "Persistence_landscape::Persistence_landscape( const std::vector< std::pair< double , double > >& p )" << std::endl;} + + //this is a general algorithm to construct persistence landscapes. + std::vector< std::pair > bars; + bars.insert( bars.begin() , p.begin() , p.end() ); + std::sort( bars.begin() , bars.end() , compare_points_sorting ); + + if (dbg) + { + std::cerr << "Bars : \n"; + for ( size_t i = 0 ; i != bars.size() ; ++i ) + { + std::cerr << bars[i].first << " " << bars[i].second << "\n"; + } + getchar(); + } + + std::vector< std::pair > characteristicPoints(p.size()); + for ( size_t i = 0 ; i != bars.size() ; ++i ) + { + characteristicPoints[i] = std::make_pair((bars[i].first+bars[i].second)/2.0 , (bars[i].second - bars[i].first)/2.0); + } + std::vector< std::vector< std::pair > > Persistence_landscape; + while ( !characteristicPoints.empty() ) + { + if(dbg) + { + for ( size_t i = 0 ; i != characteristicPoints.size() ; ++i ) + { + std::cout << "(" << characteristicPoints[i].first << " " << characteristicPoints[i].second << ")\n"; + } + std::cin.ignore(); + } + + std::vector< std::pair > lambda_n; + lambda_n.push_back( std::make_pair( -std::numeric_limits::max() , 0 ) ); + lambda_n.push_back( std::make_pair(minus_length(characteristicPoints[0]),0) ); + lambda_n.push_back( characteristicPoints[0] ); + + if (dbg) + { + std::cerr << "1 Adding to lambda_n : (" << -std::numeric_limits::max() << " " << 0 << ") , (" << minus_length(characteristicPoints[0]) << " " << 0 << ") , (" << characteristicPoints[0].first << " " << characteristicPoints[0].second << ") \n"; + } + + size_t i = 1; + std::vector< std::pair > newCharacteristicPoints; + while ( i < characteristicPoints.size() ) + { + size_t p = 1; + if ( (minus_length(characteristicPoints[i]) >= minus_length(lambda_n[lambda_n.size()-1])) && (birth_plus_deaths(characteristicPoints[i]) > birth_plus_deaths(lambda_n[lambda_n.size()-1])) ) + { + if ( minus_length(characteristicPoints[i]) < birth_plus_deaths(lambda_n[lambda_n.size()-1]) ) + { + std::pair point = std::make_pair( (minus_length(characteristicPoints[i])+birth_plus_deaths(lambda_n[lambda_n.size()-1]))/2 , (birth_plus_deaths(lambda_n[lambda_n.size()-1])-minus_length(characteristicPoints[i]))/2 ); + lambda_n.push_back( point ); + if (dbg) + { + std::cerr << "2 Adding to lambda_n : (" << point.first << " " << point.second << ")\n"; + } + + + if ( dbg ) + { + std::cerr << "characteristicPoints[i+p] : " << characteristicPoints[i+p].first << " " << characteristicPoints[i+p].second << "\n"; + std::cerr << "point : " << point.first << " " << point.second << "\n"; + getchar(); + } + + while ( (i+p < characteristicPoints.size() ) && ( almost_equal(minus_length(point),minus_length(characteristicPoints[i+p])) ) && ( birth_plus_deaths(point) <= birth_plus_deaths(characteristicPoints[i+p]) ) ) + { + newCharacteristicPoints.push_back( characteristicPoints[i+p] ); + if (dbg) + { + std::cerr << "3.5 Adding to newCharacteristicPoints : (" << characteristicPoints[i+p].first << " " << characteristicPoints[i+p].second << ")\n"; + getchar(); + } + ++p; + } + + + newCharacteristicPoints.push_back( point ); + if (dbg) + { + std::cerr << "4 Adding to newCharacteristicPoints : (" << point.first << " " << point.second << ")\n"; + } + + + while ( (i+p < characteristicPoints.size() ) && ( minus_length(point) <= minus_length(characteristicPoints[i+p]) ) && (birth_plus_deaths(point)>=birth_plus_deaths(characteristicPoints[i+p])) ) + { + newCharacteristicPoints.push_back( characteristicPoints[i+p] ); + if (dbg) + { + std::cerr << "characteristicPoints[i+p] : " << characteristicPoints[i+p].first << " " << characteristicPoints[i+p].second << "\n"; + std::cerr << "point : " << point.first << " " << point.second << "\n"; + std::cerr << "characteristicPoints[i+p] birth and death : " << minus_length(characteristicPoints[i+p]) << " , " << birth_plus_deaths(characteristicPoints[i+p]) << "\n"; + std::cerr << "point birth and death : " << minus_length(point) << " , " << birth_plus_deaths(point) << "\n"; + + std::cerr << "3 Adding to newCharacteristicPoints : (" << characteristicPoints[i+p].first << " " << characteristicPoints[i+p].second << ")\n"; + getchar(); + } + ++p; + } + + } + else + { + lambda_n.push_back( std::make_pair( birth_plus_deaths(lambda_n[lambda_n.size()-1]) , 0 ) ); + lambda_n.push_back( std::make_pair( minus_length(characteristicPoints[i]) , 0 ) ); + if (dbg) + { + std::cerr << "5 Adding to lambda_n : (" << birth_plus_deaths(lambda_n[lambda_n.size()-1]) << " " << 0 << ")\n"; + std::cerr << "5 Adding to lambda_n : (" << minus_length(characteristicPoints[i]) << " " << 0 << ")\n"; + } + } + lambda_n.push_back( characteristicPoints[i] ); + if (dbg) + { + std::cerr << "6 Adding to lambda_n : (" << characteristicPoints[i].first << " " << characteristicPoints[i].second << ")\n"; + } + } + else + { + newCharacteristicPoints.push_back( characteristicPoints[i] ); + if (dbg) + { + std::cerr << "7 Adding to newCharacteristicPoints : (" << characteristicPoints[i].first << " " << characteristicPoints[i].second << ")\n"; + } + } + i = i+p; + } + lambda_n.push_back( std::make_pair(birth_plus_deaths(lambda_n[lambda_n.size()-1]),0) ); + lambda_n.push_back( std::make_pair( std::numeric_limits::max() , 0 ) ); + + characteristicPoints = newCharacteristicPoints; + + lambda_n.erase(std::unique(lambda_n.begin(), lambda_n.end()), lambda_n.end()); + this->land.push_back( lambda_n ); + } +} + + + +//this function find maximum of lambda_n +double Persistence_landscape::find_max( unsigned lambda )const +{ + if ( this->land.size() < lambda )return 0; + double maximum = -std::numeric_limits::max(); + for ( size_t i = 0 ; i != this->land[lambda].size() ; ++i ) + { + if ( this->land[lambda][i].second > maximum )maximum = this->land[lambda][i].second; + } + return maximum; +} + + +double Persistence_landscape::compute_integral_of_landscape()const +{ + double result = 0; + for ( size_t i = 0 ; i != this->land.size() ; ++i ) + { + for ( size_t nr = 2 ; nr != this->land[i].size()-1 ; ++nr ) + { + //it suffices to compute every planar integral and then sum them ap for each lambda_n + result += 0.5*( this->land[i][nr].first - this->land[i][nr-1].first )*(this->land[i][nr].second + this->land[i][nr-1].second); + } + } + return result; +} + +double Persistence_landscape::compute_integral_of_a_level_of_a_landscape( size_t level )const +{ + double result = 0; + if ( level >= this->land.size() ) + { + //this landscape function is constantly equal 0, so is the intergral. + return result; + } + //also negative landscapes are assumed to be zero. + if ( level < 0 )return 0; + + for ( size_t nr = 2 ; nr != this->land[ level ].size()-1 ; ++nr ) + { + //it suffices to compute every planar integral and then sum them ap for each lambda_n + result += 0.5*( this->land[ level ][nr].first - this->land[ level ][nr-1].first )*(this->land[ level ][nr].second + this->land[ level ][nr-1].second); + } + + return result; +} + + +double Persistence_landscape::compute_integral_of_landscape( double p )const +{ + bool dbg = false; + double result = 0; + for ( size_t i = 0 ; i != this->land.size() ; ++i ) + { + for ( size_t nr = 2 ; nr != this->land[i].size()-1 ; ++nr ) + { + if (dbg)std::cout << "nr : " << nr << "\n"; + //In this interval, the landscape has a form f(x) = ax+b. We want to compute integral of (ax+b)^p = 1/a * (ax+b)^{p+1}/(p+1) + std::pair coef = compute_parameters_of_a_line( this->land[i][nr] , this->land[i][nr-1] ); + double a = coef.first; + double b = coef.second; + + if (dbg)std::cout << "(" << this->land[i][nr].first << "," << this->land[i][nr].second << ") , " << this->land[i][nr-1].first << "," << this->land[i][nr].second << ")" << std::endl; + if ( this->land[i][nr].first == this->land[i][nr-1].first )continue; + if ( a != 0 ) + { + result += 1/(a*(p+1)) * ( pow((a*this->land[i][nr].first+b),p+1) - pow((a*this->land[i][nr-1].first+b),p+1)); + } + else + { + result += ( this->land[i][nr].first - this->land[i][nr-1].first )*( pow(this->land[i][nr].second,p) ); + } + if ( dbg ) + { + std::cout << "a : " <land. +double Persistence_landscape::compute_value_at_a_given_point( unsigned level , double x )const +{ + bool compute_value_at_a_given_pointDbg = false; + //in such a case lambda_level = 0. + if ( level > this->land.size() ) return 0; + + //we know that the points in this->land[level] are ordered according to x coordinate. Therefore, we can find the point by using bisection: + unsigned coordBegin = 1; + unsigned coordEnd = this->land[level].size()-2; + + if ( compute_value_at_a_given_pointDbg ) + { + std::cerr << "Here \n"; + std::cerr << "x : " << x << "\n"; + std::cerr << "this->land[level][coordBegin].first : " << this->land[level][coordBegin].first << "\n"; + std::cerr << "this->land[level][coordEnd].first : " << this->land[level][coordEnd].first << "\n"; + } + + //in this case x is outside the support of the landscape, therefore the value of the landscape is 0. + if ( x <= this->land[level][coordBegin].first )return 0; + if ( x >= this->land[level][coordEnd].first )return 0; + + if (compute_value_at_a_given_pointDbg)std::cerr << "Entering to the while loop \n"; + + while ( coordBegin+1 != coordEnd ) + { + if (compute_value_at_a_given_pointDbg) + { + std::cerr << "coordBegin : " << coordBegin << "\n"; + std::cerr << "coordEnd : " << coordEnd << "\n"; + std::cerr << "this->land[level][coordBegin].first : " << this->land[level][coordBegin].first << "\n"; + std::cerr << "this->land[level][coordEnd].first : " << this->land[level][coordEnd].first << "\n"; + } + + + unsigned newCord = (unsigned)floor((coordEnd+coordBegin)/2.0); + + if (compute_value_at_a_given_pointDbg) + { + std::cerr << "newCord : " << newCord << "\n"; + std::cerr << "this->land[level][newCord].first : " << this->land[level][newCord].first << "\n"; + std::cin.ignore(); + } + + if ( this->land[level][newCord].first <= x ) + { + coordBegin = newCord; + if ( this->land[level][newCord].first == x )return this->land[level][newCord].second; + } + else + { + coordEnd = newCord; + } + } + + if (compute_value_at_a_given_pointDbg) + { + std::cout << "x : " << x << " is between : " << this->land[level][coordBegin].first << " a " << this->land[level][coordEnd].first << "\n"; + std::cout << "the y coords are : " << this->land[level][coordBegin].second << " a " << this->land[level][coordEnd].second << "\n"; + std::cerr << "coordBegin : " << coordBegin << "\n"; + std::cerr << "coordEnd : " << coordEnd << "\n"; + std::cin.ignore(); + } + return function_value( this->land[level][coordBegin] , this->land[level][coordEnd] , x ); +} + +std::ostream& operator<<(std::ostream& out, Persistence_landscape& land ) +{ + for ( size_t level = 0 ; level != land.land.size() ; ++level ) + { + out << "Lambda_" << level << ":" << std::endl; + for ( size_t i = 0 ; i != land.land[level].size() ; ++i ) + { + if ( land.land[level][i].first == -std::numeric_limits::max() ) + { + out << "-inf"; + } + else + { + if ( land.land[level][i].first == std::numeric_limits::max() ) + { + out << "+inf"; + } + else + { + out << land.land[level][i].first; + } + } + out << " , " << land.land[level][i].second << std::endl; + } + } + return out; +} + + + + +void Persistence_landscape::multiply_lanscape_by_real_number_overwrite( double x ) +{ + for ( size_t dim = 0 ; dim != this->land.size() ; ++dim ) + { + for ( size_t i = 0 ; i != this->land[dim].size() ; ++i ) + { + this->land[dim][i].second *= x; + } + } +} + +bool AbsDbg = false; +Persistence_landscape Persistence_landscape::abs() +{ + Persistence_landscape result; + for ( size_t level = 0 ; level != this->land.size() ; ++level ) + { + if ( AbsDbg ){ std::cout << "level: " << level << std::endl; } + std::vector< std::pair > lambda_n; + lambda_n.push_back( std::make_pair( -std::numeric_limits::max() , 0 ) ); + for ( size_t i = 1 ; i != this->land[level].size() ; ++i ) + { + if ( AbsDbg ){std::cout << "this->land[" << level << "][" << i << "] : " << this->land[level][i].first << " " << this->land[level][i].second << std::endl;} + //if a line segment between this->land[level][i-1] and this->land[level][i] crosses the x-axis, then we have to add one landscape point t oresult + if ( (this->land[level][i-1].second)*(this->land[level][i].second) < 0 ) + { + double zero = find_zero_of_a_line_segment_between_those_two_points( this->land[level][i-1] , this->land[level][i] ); + + lambda_n.push_back( std::make_pair(zero , 0) ); + lambda_n.push_back( std::make_pair(this->land[level][i].first , fabs(this->land[level][i].second)) ); + if ( AbsDbg ) + { + std::cout << "Adding pair : (" << zero << ",0)" << std::endl; + std::cout << "In the same step adding pair : (" << this->land[level][i].first << "," << fabs(this->land[level][i].second) << ") " << std::endl; + std::cin.ignore(); + } + } + else + { + lambda_n.push_back( std::make_pair(this->land[level][i].first , fabs(this->land[level][i].second)) ); + if ( AbsDbg ) + { + std::cout << "Adding pair : (" << this->land[level][i].first << "," << fabs(this->land[level][i].second) << ") " << std::endl; + std::cin.ignore(); + } + } + } + result.land.push_back( lambda_n ); + } + return result; +} + + +Persistence_landscape Persistence_landscape::multiply_lanscape_by_real_number_not_overwrite( double x )const +{ + std::vector< std::vector< std::pair > > result(this->land.size()); + for ( size_t dim = 0 ; dim != this->land.size() ; ++dim ) + { + std::vector< std::pair > lambda_dim( this->land[dim].size() ); + for ( size_t i = 0 ; i != this->land[dim].size() ; ++i ) + { + lambda_dim[i] = std::make_pair( this->land[dim][i].first , x*this->land[dim][i].second ); + } + result[dim] = lambda_dim; + } + Persistence_landscape res; + //CHANGE + //res.land = result; + res.land.swap(result); + return res; +}//multiply_lanscape_by_real_number_overwrite + + +void Persistence_landscape::print_to_file( const char* filename )const +{ + std::ofstream write; + write.open(filename); + for ( size_t dim = 0 ; dim != this->land.size() ; ++dim ) + { + write << "#lambda_" << dim << std::endl; + for ( size_t i = 1 ; i != this->land[dim].size()-1 ; ++i ) + { + write << this->land[dim][i].first << " " << this->land[dim][i].second << std::endl; + } + } + write.close(); +} + +void Persistence_landscape::load_landscape_from_file( const char* filename ) +{ + bool dbg = false; + //removing the current content of the persistence landscape. + this->land.clear(); + + + //this constructor reads persistence landscape form a file. This file have to be created by this software beforehead + std::ifstream in; + in.open( filename ); + if ( !in.good() ) + { + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; + } + + std::string line; + std::vector< std::pair > landscapeAtThisLevel; + + bool isThisAFirsLine = true; + while ( !in.eof() ) + { + getline(in,line); + if ( !(line.length() == 0 || line[0] == '#') ) + { + std::stringstream lineSS; + lineSS << line; + double beginn, endd; + lineSS >> beginn; + lineSS >> endd; + landscapeAtThisLevel.push_back( std::make_pair( beginn , endd ) ); + if (dbg){std::cerr << "Reading a pont : " << beginn << " , " << endd << std::endl;} + } + else + { + if (dbg) + { + std::cout << "IGNORE LINE\n"; + getchar(); + } + if ( !isThisAFirsLine ) + { + landscapeAtThisLevel.push_back( std::make_pair( std::numeric_limits::max() , 0 ) ); + this->land.push_back(landscapeAtThisLevel); + std::vector< std::pair > newLevelOdLandscape; + landscapeAtThisLevel.swap(newLevelOdLandscape); + } + landscapeAtThisLevel.push_back( std::make_pair( -std::numeric_limits::max() , 0 ) ); + isThisAFirsLine = false; + } + } + if ( landscapeAtThisLevel.size() > 1 ) + { + //seems that the last line of the file is not finished with the newline sign. We need to put what we have in landscapeAtThisLevel to the constructed landscape. + landscapeAtThisLevel.push_back( std::make_pair( std::numeric_limits::max() , 0 ) ); + this->land.push_back(landscapeAtThisLevel); + } + + in.close(); +} + + +template < typename T > +Persistence_landscape operation_on_pair_of_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 ) +{ + bool operation_on_pair_of_landscapesDBG = false; + if ( operation_on_pair_of_landscapesDBG ){std::cout << "operation_on_pair_of_landscapes\n";std::cin.ignore();} + Persistence_landscape result; + std::vector< std::vector< std::pair > > land( std::max( land1.land.size() , land2.land.size() ) ); + result.land = land; + T oper; + + if ( operation_on_pair_of_landscapesDBG ) + { + for ( size_t i = 0 ; i != std::min( land1.land.size() , land2.land.size() ) ; ++i ) + { + std::cerr << "land1.land[" << i << "].size() : " << land1.land[i].size() << std::endl; + std::cerr << "land2.land[" << i << "].size() : " << land2.land[i].size() << std::endl; + } + getchar(); + } + + for ( size_t i = 0 ; i != std::min( land1.land.size() , land2.land.size() ) ; ++i ) + { + std::vector< std::pair > lambda_n; + size_t p = 0; + size_t q = 0; + while ( (p+1 < land1.land[i].size()) && (q+1 < land2.land[i].size()) ) + { + if ( operation_on_pair_of_landscapesDBG ) + { + std::cerr << "p : " << p << "\n"; + std::cerr << "q : " << q << "\n"; + std::cerr << "land1.land.size() : " << land1.land.size() << std::endl; + std::cerr << "land2.land.size() : " << land2.land.size() << std::endl; + std::cerr << "land1.land[" << i << "].size() : " << land1.land[i].size() << std::endl; + std::cerr << "land2.land[" << i << "].size() : " << land2.land[i].size() << std::endl; + std::cout << "land1.land[i][p].first : " << land1.land[i][p].first << "\n"; + std::cout << "land2.land[i][q].first : " << land2.land[i][q].first << "\n"; + //getchar(); + } + + if ( land1.land[i][p].first < land2.land[i][q].first ) + { + if ( operation_on_pair_of_landscapesDBG ) + { + std::cout << "first \n"; + std::cout << " function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) : "<< function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) << "\n"; + //std::cout << "oper( " << land1.land[i][p].second <<"," << function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) << " : " << oper( land1.land[i][p].second , function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) ) << "\n"; + } + lambda_n.push_back( + std::make_pair( + land1.land[i][p].first , + oper( (double)land1.land[i][p].second , function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) ) + ) + ); + ++p; + continue; + } + if ( land1.land[i][p].first > land2.land[i][q].first ) + { + if ( operation_on_pair_of_landscapesDBG ) + { + std::cout << "Second \n"; + std::cout << "function_value("<< land1.land[i][p-1].first << " " << land1.land[i][p-1].second <<" ,"<< land1.land[i][p].first << " " << land1.land[i][p].second <<", " << land2.land[i][q].first<<" ) : " << function_value( land1.land[i][p-1] , land1.land[i][p-1] ,land2.land[i][q].first ) << "\n"; + std::cout << "oper( " << function_value( land1.land[i][p] , land1.land[i][p-1] ,land2.land[i][q].first ) <<"," << land2.land[i][q].second <<" : " << oper( land2.land[i][q].second , function_value( land1.land[i][p] , land1.land[i][p-1] ,land2.land[i][q].first ) ) << "\n"; + } + lambda_n.push_back( std::make_pair( land2.land[i][q].first , oper( function_value( land1.land[i][p] , land1.land[i][p-1] ,land2.land[i][q].first ) , land2.land[i][q].second ) ) ); + ++q; + continue; + } + if ( land1.land[i][p].first == land2.land[i][q].first ) + { + if (operation_on_pair_of_landscapesDBG)std::cout << "Third \n"; + lambda_n.push_back( std::make_pair( land2.land[i][q].first , oper( land1.land[i][p].second , land2.land[i][q].second ) ) ); + ++p;++q; + } + if (operation_on_pair_of_landscapesDBG){std::cout << "Next iteration \n";} + } + while ( (p+1 < land1.land[i].size())&&(q+1 >= land2.land[i].size()) ) + { + if (operation_on_pair_of_landscapesDBG) + { + std::cout << "New point : " << land1.land[i][p].first << " oper(land1.land[i][p].second,0) : " << oper(land1.land[i][p].second,0) << std::endl; + } + lambda_n.push_back( std::make_pair(land1.land[i][p].first , oper(land1.land[i][p].second,0) ) ); + ++p; + } + while ( (p+1 >= land1.land[i].size())&&(q+1 < land2.land[i].size()) ) + { + if (operation_on_pair_of_landscapesDBG) + { + std::cout << "New point : " << land2.land[i][q].first << " oper(0,land2.land[i][q].second) : " << oper(0,land2.land[i][q].second) << std::endl; + } + lambda_n.push_back( std::make_pair(land2.land[i][q].first , oper(0,land2.land[i][q].second) ) ); + ++q; + } + lambda_n.push_back( std::make_pair( std::numeric_limits::max() , 0 ) ); + //CHANGE + //result.land[i] = lambda_n; + result.land[i].swap(lambda_n); + } + if ( land1.land.size() > std::min( land1.land.size() , land2.land.size() ) ) + { + if (operation_on_pair_of_landscapesDBG){std::cout << "land1.land.size() > std::min( land1.land.size() , land2.land.size() )" << std::endl;} + for ( size_t i = std::min( land1.land.size() , land2.land.size() ) ; i != std::max( land1.land.size() , land2.land.size() ) ; ++i ) + { + std::vector< std::pair > lambda_n( land1.land[i] ); + for ( size_t nr = 0 ; nr != land1.land[i].size() ; ++nr ) + { + lambda_n[nr] = std::make_pair( land1.land[i][nr].first , oper( land1.land[i][nr].second , 0 ) ); + } + //CHANGE + //result.land[i] = lambda_n; + result.land[i].swap(lambda_n); + } + } + if ( land2.land.size() > std::min( land1.land.size() , land2.land.size() ) ) + { + if (operation_on_pair_of_landscapesDBG){std::cout << "( land2.land.size() > std::min( land1.land.size() , land2.land.size() ) ) " << std::endl;} + for ( size_t i = std::min( land1.land.size() , land2.land.size() ) ; i != std::max( land1.land.size() , land2.land.size() ) ; ++i ) + { + std::vector< std::pair > lambda_n( land2.land[i] ); + for ( size_t nr = 0 ; nr != land2.land[i].size() ; ++nr ) + { + lambda_n[nr] = std::make_pair( land2.land[i][nr].first , oper( 0 , land2.land[i][nr].second ) ); + } + //CHANGE + //result.land[i] = lambda_n; + result.land[i].swap(lambda_n); + } + } + if ( operation_on_pair_of_landscapesDBG ){std::cout << "operation_on_pair_of_landscapes END\n";std::cin.ignore();} + return result; +}//operation_on_pair_of_landscapes + + + +double compute_maximal_distance_non_symmetric( const Persistence_landscape& pl1, const Persistence_landscape& pl2 ) +{ + bool dbg = false; + if (dbg)std::cerr << " compute_maximal_distance_non_symmetric \n"; + //this distance is not symmetric. It compute ONLY distance between inflection points of pl1 and pl2. + double maxDist = 0; + size_t minimalNumberOfLevels = std::min( pl1.land.size() , pl2.land.size() ); + for ( size_t level = 0 ; level != minimalNumberOfLevels ; ++ level ) + { + if (dbg) + { + std::cerr << "Level : " << level << std::endl; + std::cerr << "PL1 : \n"; + for ( size_t i = 0 ; i != pl1.land[level].size() ; ++i ) + { + std::cerr << "(" <=pl2.land[level][p2Count].first) && (pl1.land[level][i].first<=pl2.land[level][p2Count+1].first) )break; + p2Count++; + } + double val = fabs( function_value( pl2.land[level][p2Count] , pl2.land[level][p2Count+1] , pl1.land[level][i].first ) - pl1.land[level][i].second); + if ( maxDist <= val )maxDist = val; + + if (dbg) + { + std::cerr << pl1.land[level][i].first <<"in [" << pl2.land[level][p2Count].first << "," << pl2.land[level][p2Count+1].first <<"] \n"; + std::cerr << "pl1[level][i].second : " << pl1.land[level][i].second << std::endl; + std::cerr << "function_value( pl2[level][p2Count] , pl2[level][p2Count+1] , pl1[level][i].first ) : " << function_value( pl2.land[level][p2Count] , pl2.land[level][p2Count+1] , pl1.land[level][i].first ) << std::endl; + std::cerr << "val : " << val << std::endl; + std::cin.ignore(); + } + } + } + + if (dbg)std::cerr << "minimalNumberOfLevels : " << minimalNumberOfLevels << std::endl; + + if ( minimalNumberOfLevels < pl1.land.size() ) + { + for ( size_t level = minimalNumberOfLevels ; level != pl1.land.size() ; ++ level ) + { + for ( size_t i = 0 ; i != pl1.land[level].size() ; ++i ) + { + if (dbg)std::cerr << "pl1[level][i].second : " << pl1.land[level][i].second << std::endl; + if ( maxDist < pl1.land[level][i].second )maxDist = pl1.land[level][i].second; + } + } + } + return maxDist; +} + + + + +double compute_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second , double p ) +{ + bool dbg = false; + //This is what we want to compute: (\int_{- \infty}^{+\infty}| first-second |^p)^(1/p). We will do it one step at a time: + + //first-second : + Persistence_landscape lan = first-second; + + //| first-second |: + lan = lan.abs(); + + if ( dbg ){std::cerr << "Abs of difference ; " << lan << std::endl;getchar();} + + if ( p < std::numeric_limits::max() ) + { + //\int_{- \infty}^{+\infty}| first-second |^p + double result; + if ( p != 1 ) + { + if ( dbg )std::cerr << "Power != 1, compute integral to the power p\n"; + result = lan.compute_integral_of_landscape( (double)p ); + } + else + { + if ( dbg )std::cerr << "Power = 1, compute integral \n"; + result = lan.compute_integral_of_landscape(); + } + //(\int_{- \infty}^{+\infty}| first-second |^p)^(1/p) + return pow( result , 1/(double)p ); + } + else + { + //p == infty + if ( dbg )std::cerr << "Power = infty, compute maximum \n"; + return lan.compute_maximum(); + } +} + +double compute_max_norm_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second ) +{ + return std::max( compute_maximal_distance_non_symmetric(first,second) , compute_maximal_distance_non_symmetric(second,first) ); +} + + +bool comparePairsForMerging( std::pair< double , unsigned > first , std::pair< double , unsigned > second ) +{ + return (first.first < second.first); +} + + + + +double compute_inner_product( const Persistence_landscape& l1 , const Persistence_landscape& l2 ) +{ + bool dbg = false; + double result = 0; + + for ( size_t level = 0 ; level != std::min( l1.size() , l2.size() ) ; ++level ) + { + if ( dbg ){std::cerr << "Computing inner product for a level : " << level << std::endl;getchar();} + if ( l1.land[level].size() * l2.land[level].size() == 0 )continue; + + //endpoints of the interval on which we will compute the inner product of two locally linear functions: + double x1 = -std::numeric_limits::max(); + double x2; + if ( l1.land[level][1].first < l2.land[level][1].first ) + { + x2 = l1.land[level][1].first; + } + else + { + x2 = l2.land[level][1].first; + } + + //iterators for the landscapes l1 and l2 + size_t l1It = 0; + size_t l2It = 0; + + while ( (l1It < l1.land[level].size()-1) && (l2It < l2.land[level].size()-1) ) + { + //compute the value of a inner product on a interval [x1,x2] + + double a,b,c,d; + + if ( l1.land[level][l1It+1].first != l1.land[level][l1It].first ) + { + a = (l1.land[level][l1It+1].second - l1.land[level][l1It].second)/(l1.land[level][l1It+1].first - l1.land[level][l1It].first); + } + else + { + a = 0; + } + b = l1.land[level][l1It].second - a*l1.land[level][l1It].first; + if ( l2.land[level][l2It+1].first != l2.land[level][l2It].first ) + { + c = (l2.land[level][l2It+1].second - l2.land[level][l2It].second)/(l2.land[level][l2It+1].first - l2.land[level][l2It].first); + } + else + { + c = 0; + } + d = l2.land[level][l2It].second - c*l2.land[level][l2It].first; + + double contributionFromThisPart + = + (a*c*x2*x2*x2/3 + (a*d+b*c)*x2*x2/2 + b*d*x2) - (a*c*x1*x1*x1/3 + (a*d+b*c)*x1*x1/2 + b*d*x1); + + result += contributionFromThisPart; + + if ( dbg ) + { + std::cerr << "[l1.land[level][l1It].first,l1.land[level][l1It+1].first] : " << l1.land[level][l1It].first << " , " << l1.land[level][l1It+1].first << std::endl; + std::cerr << "[l2.land[level][l2It].first,l2.land[level][l2It+1].first] : " << l2.land[level][l2It].first << " , " << l2.land[level][l2It+1].first << std::endl; + std::cerr << "a : " << a << ", b : " << b << " , c: " << c << ", d : " << d << std::endl; + std::cerr << "x1 : " << x1 << " , x2 : " << x2 << std::endl; + std::cerr << "contributionFromThisPart : " << contributionFromThisPart << std::endl; + std::cerr << "result : " << result << std::endl; + getchar(); + } + + //we have two intervals in which functions are constant: + //[l1.land[level][l1It].first , l1.land[level][l1It+1].first] + //and + //[l2.land[level][l2It].first , l2.land[level][l2It+1].first] + //We also have an interval [x1,x2]. Since the intervals in the landscapes cover the whole R, then it is clear that x2 + //is either l1.land[level][l1It+1].first of l2.land[level][l2It+1].first or both. Lets test it. + if ( x2 == l1.land[level][l1It+1].first ) + { + if ( x2 == l2.land[level][l2It+1].first ) + { + //in this case, we increment both: + ++l2It; + if ( dbg ){std::cerr << "Incrementing both \n";} + } + else + { + if ( dbg ){std::cerr << "Incrementing first \n";} + } + ++l1It; + } + else + { + //in this case we increment l2It + ++l2It; + if ( dbg ){std::cerr << "Incrementing second \n";} + } + //Now, we shift x1 and x2: + x1 = x2; + if ( l1.land[level][l1It+1].first < l2.land[level][l2It+1].first ) + { + x2 = l1.land[level][l1It+1].first; + } + else + { + x2 = l2.land[level][l2It+1].first; + } + + } + + } + return result; +} + + +void Persistence_landscape::plot( const char* filename, double xRangeBegin , double xRangeEnd , double yRangeBegin , double yRangeEnd , int from , int to ) +{ + //this program create a gnuplot script file that allows to plot persistence diagram. + std::ofstream out; + + std::ostringstream nameSS; + nameSS << filename << "_GnuplotScript"; + std::string nameStr = nameSS.str(); + out.open( nameStr ); + + if ( (xRangeBegin != std::numeric_limits::max()) || (xRangeEnd != std::numeric_limits::max()) || (yRangeBegin != std::numeric_limits::max()) || (yRangeEnd != std::numeric_limits::max()) ) + { + out << "set xrange [" << xRangeBegin << " : " << xRangeEnd << "]" << std::endl; + out << "set yrange [" << yRangeBegin << " : " << yRangeEnd << "]" << std::endl; + } + + if ( from == std::numeric_limits::max() ){from = 0;} + if ( to == std::numeric_limits::max() ){to = this->land.size();} + + out << "plot "; + for ( size_t lambda= std::min((size_t)from,this->land.size()) ; lambda != std::min((size_t)to,this->land.size()) ; ++lambda ) + { + //out << " '-' using 1:2 title 'l" << lambda << "' with lp"; + out << " '-' using 1:2 notitle with lp"; + if ( lambda+1 != std::min((size_t)to,this->land.size()) ) + { + out << ", \\"; + } + out << std::endl; + } + + for ( size_t lambda= std::min((size_t)from,this->land.size()) ; lambda != std::min((size_t)to,this->land.size()) ; ++lambda ) + { + for ( size_t i = 1 ; i != this->land[lambda].size()-1 ; ++i ) + { + out << this->land[lambda][i].first << " " << this->land[lambda][i].second << std::endl; + } + out << "EOF" << std::endl; + } + std::cout << "Gnuplot script to visualize persistence diagram written to the file: " << nameStr << ". Type load '" << nameStr << "' in gnuplot to visualize." << std::endl; +} + + + + +}//namespace gudhi stat +}//namespace gudhi + + +#endif diff --git a/src/Gudhi_stat/include/gudhi/Persistence_landscape_on_grid.h b/src/Gudhi_stat/include/gudhi/Persistence_landscape_on_grid.h new file mode 100644 index 00000000..de5c74ac --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/Persistence_landscape_on_grid.h @@ -0,0 +1,1560 @@ +/** 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 . + **/ + +#ifndef Persistence_landscape_on_grid_H_ +#define Persistence_landscape_on_grid_H_ + + +//standard include +#include +#include +#include +#include +#include +#include +#include +#include +#include + + +//gudhi include + +#include +#include + + + +namespace Gudhi +{ +namespace Persistence_representations +{ + +//predeclaration +class Persistence_landscape_on_grid; +template < typename operation > +Persistence_landscape_on_grid operation_on_pair_of_landscapes_on_grid( const Persistence_landscape_on_grid& land1 , const Persistence_landscape_on_grid& land2 ); + +/** + * A clas implementing persistence landascpes by approximating them on a collection of grid points. * Persistence landscapes on grid allow vertorization, computations of distances, computations + * of projections to Real, computations of averages and scalar products. Therefore they implement suitable interfaces. + * It implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product + * Note that at the moment, due to roundoff errors during the construction of persistence landscapes on a grid, elements which are different by 0.000005 are considered the same. If the scale in your persistence diagrams + * is comparable to this value, please rescale them before use this code. +**/ + +//this class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product +class Persistence_landscape_on_grid +{ +public: + /** + * Default constructor. + **/ + Persistence_landscape_on_grid() + { + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); + this->grid_min = this->grid_max = 0; + } + + /** + * Constructor that takes as an input a vector of birth-death pairs. + **/ + Persistence_landscape_on_grid( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_ ); + + + /** + * Constructor that takes as an input a vector of birth-death pairs, parameters of the grid and number of landscape function to be created. + **/ + Persistence_landscape_on_grid( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_ , unsigned number_of_levels_of_landscape ); + + /** + * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed + * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. The additional parameters of this procedure are: ranges of grid, resoltion of a grid + * number of landscape functions to be created and the dimension of intervals that are need to be read from a file (in case of Gudhi format files). + **/ + Persistence_landscape_on_grid(const char* filename , double grid_min_, double grid_max_ , size_t number_of_points_ , unsigned number_of_levels_of_landscape , unsigned short dimension_ = std::numeric_limits::max() ); + + /** + * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed + * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. The additional parameters of this procedure are: ranges of grid, resoltion of a grid + * and the dimension of intervals that are need to be read from a file (in case of Gudhi format files). + **/ + Persistence_landscape_on_grid(const char* filename , double grid_min_, double grid_max_ , size_t number_of_points_ , unsigned short dimension_ = std::numeric_limits::max() ); + + + /** + * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed + * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. The additional parameter is the resoution of a grid and the number of landscape + * functions to be created. The remaning parameters are calculated based on data. + **/ + Persistence_landscape_on_grid(const char* filename , size_t number_of_points , unsigned number_of_levels_of_landscape , unsigned short dimension = std::numeric_limits::max() ); + + /** + * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed + * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. The additional parameter is the resoution of a grid. The last parameter is the dimension + * of a persistence to read from the file. If your file contains only persistence pair in a single dimension, please set it up to std::numeric_limits::max(). + * The remaning parameters are calculated based on data. + **/ + Persistence_landscape_on_grid(const char* filename , size_t number_of_points , unsigned short dimension = std::numeric_limits::max() ); + + + /** + * This procedure loads a landscape from file. It erase all the data that was previously stored in this landscape. + **/ + void load_landscape_from_file( const char* filename ); + + + /** + * The procedure stores a landscape to a file. The file can be later used by a procedure load_landscape_from_file. + **/ + void print_to_file( const char* filename )const; + + + + /** + * This function compute integral of the landscape (defined formally as sum of integrals on R of all landscape functions) + **/ + double compute_integral_of_landscape()const + { + size_t maximal_level = this->number_of_nonzero_levels(); + double result = 0; + for ( size_t i = 0 ; i != maximal_level ; ++i ) + { + result += this->compute_integral_of_landscape(i); + } + return result; + } + + + /** + * This function compute integral of the 'level'-level of a landscape. + **/ + double compute_integral_of_landscape( size_t level )const + { + bool dbg = false; + double result = 0; + double dx = (this->grid_max - this->grid_min)/(double)(this->values_of_landscapes.size()-1); + + if ( dbg ) + { + std::cerr << "this->grid_max : " << this->grid_max << std::endl; + std::cerr << "this->grid_min : " << this->grid_min << std::endl; + std::cerr << "this->values_of_landscapes.size() : " << this->values_of_landscapes.size() << std::endl; + getchar(); + } + + + double previous_x = this->grid_min-dx; + double previous_y = 0; + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + double current_x = previous_x + dx; + double current_y = 0; + if ( this->values_of_landscapes[i].size() > level )current_y = this->values_of_landscapes[i][level]; + + if ( dbg ) + { + std::cerr << "this->values_of_landscapes[i].size() : " << this->values_of_landscapes[i].size() << " , level : " << level << std::endl; + if ( this->values_of_landscapes[i].size() > level )std::cerr << "this->values_of_landscapes[i][level] : " << this->values_of_landscapes[i][level] << std::endl; + std::cerr << "previous_y : " << previous_y << std::endl; + std::cerr << "current_y : " << current_y << std::endl; + std::cerr << "dx : " << dx << std::endl; + std::cerr << "0.5*dx*( previous_y + current_y ); " << 0.5*dx*( previous_y + current_y ) << std::endl; + } + + result += 0.5*dx*( previous_y + current_y ); + previous_x = current_x; + previous_y = current_y; + } + return result; + } + + /** + * This function compute integral of the landscape p-th power of a landscape (defined formally as sum of integrals on R of p-th powers of all landscape functions) + **/ + double compute_integral_of_landscape( double p )const + { + size_t maximal_level = this->number_of_nonzero_levels(); + double result = 0; + for ( size_t i = 0 ; i != maximal_level ; ++i ) + { + result += this->compute_integral_of_landscape(p,i); + } + return result; + } + + /** + * This function compute integral of the landscape p-th power of a level of a landscape (defined formally as sum of integrals on R of p-th powers of all landscape functions) + **/ + double compute_integral_of_landscape( double p , size_t level )const + { + bool dbg = false; + + double result = 0; + double dx = (this->grid_max - this->grid_min)/(double)(this->values_of_landscapes.size()-1); + double previous_x = this->grid_min; + double previous_y = 0; + if ( this->values_of_landscapes[0].size() > level )previous_y = this->values_of_landscapes[0][level]; + + if ( dbg ) + { + std::cerr << "dx : " << dx << std::endl; + std::cerr << "previous_x : " << previous_x << std::endl; + std::cerr << "previous_y : " << previous_y << std::endl; + std::cerr << "power : " << p << std::endl; + getchar(); + } + + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + double current_x = previous_x + dx; + double current_y = 0; + if ( this->values_of_landscapes[i].size() > level )current_y = this->values_of_landscapes[i][level]; + + if ( dbg )std::cerr << "current_y : " << current_y << std::endl; + + if ( current_y == previous_y )continue; + + std::pair coef = compute_parameters_of_a_line( std::make_pair( previous_x , previous_y ) , std::make_pair( current_x , current_y ) ); + double a = coef.first; + double b = coef.second; + + if ( dbg ) + { + std::cerr << "A line passing through points : (" << previous_x << "," << previous_y << ") and (" << current_x << "," << current_y << ") is : " << a << "x+" << b << std::endl; + } + + //In this interval, the landscape has a form f(x) = ax+b. We want to compute integral of (ax+b)^p = 1/a * (ax+b)^{p+1}/(p+1) + double value_to_add = 0; + if ( a != 0 ) + { + value_to_add = 1/(a*(p+1)) * ( pow((a*current_x+b),p+1) - pow((a*previous_x+b),p+1)); + } + else + { + value_to_add = ( current_x - previous_x )*( pow(b,p) ); + } + result += value_to_add; + if ( dbg ) + { + std::cerr << "Increasing result by : " << value_to_add << std::endl; + std::cerr << "restult : " << result << std::endl; + getchar(); + } + previous_x = current_x; + previous_y = current_y; + } + if ( dbg )std::cerr << "The total result is : " << result << std::endl; + return result; + } + + /** + * Writing landscape into a stream. A i-th level landscape starts with a string "lambda_i". Then the discontinuity points of the landscapes follows. + * Shall those points be joined with lines, we will obtain the i-th landscape function. + **/ + friend std::ostream& operator<<(std::ostream& out, const Persistence_landscape_on_grid& land ) + { + double dx = (land.grid_max - land.grid_min)/(double)(land.values_of_landscapes.size()-1); + double x = land.grid_min; + for ( size_t i = 0 ; i != land.values_of_landscapes.size() ; ++i ) + { + out << x << " : "; + for ( size_t j = 0 ; j != land.values_of_landscapes[i].size() ; ++j ) + { + out << land.values_of_landscapes[i][j] << " "; + } + out << std::endl; + x += dx; + } + return out; + } + + template < typename oper > + friend Persistence_landscape_on_grid operation_on_pair_of_landscapes_on_grid( const Persistence_landscape_on_grid& land1 , const Persistence_landscape_on_grid& land2 ); + + + /** + * A function that computes the value of a landscape at a given point. The parameters of the function are: unsigned level and double x. + * The procedure will compute the value of the level-landscape at the point x. + **/ + double compute_value_at_a_given_point( unsigned level , double x )const + { + bool dbg = false; + if ( (x < this->grid_min) || (x > this->grid_max) )return 0; + + //find a position of a vector closest to x: + double dx = (this->grid_max - this->grid_min)/(double)(this->values_of_landscapes.size()-1); + size_t position = size_t((x-this->grid_min)/dx); + + if ( dbg ) + { + std::cerr << "This is a procedure compute_value_at_a_given_point \n"; + std::cerr << "level : " << level << std::endl; + std::cerr << "x : " << x << std::endl; + std::cerr << "psoition : " << position << std::endl; + } + //check if we are not exacly in the grid point: + if ( almost_equal( position*dx+ this->grid_min , x) ) + { + if ( this->values_of_landscapes[position].size() < level ) + { + return this->values_of_landscapes[position][level]; + } + else + { + return 0; + } + } + //in the other case, approximate with a line: + std::pair line; + if ( (this->values_of_landscapes[position].size() > level) && (this->values_of_landscapes[position+1].size() > level) ) + { + line = compute_parameters_of_a_line( std::make_pair( position*dx+ this->grid_min , this->values_of_landscapes[position][level] ) , std::make_pair( (position+1)*dx+ this->grid_min , this->values_of_landscapes[position+1][level] ) ); + } + else + { + if ( (this->values_of_landscapes[position].size() > level) || (this->values_of_landscapes[position+1].size() > level) ) + { + if ( (this->values_of_landscapes[position].size() > level) ) + { + line = compute_parameters_of_a_line( std::make_pair( position*dx+ this->grid_min , this->values_of_landscapes[position][level] ) , std::make_pair( (position+1)*dx+ this->grid_min , 0 ) ); + } + else + { + //(this->values_of_landscapes[position+1].size() > level) + line = compute_parameters_of_a_line( std::make_pair( position*dx+ this->grid_min , 0 ) , std::make_pair( (position+1)*dx+ this->grid_min , this->values_of_landscapes[position+1][level] ) ); + } + } + else + { + return 0; + } + } + //compute the value of the linear function parametrized by line on a point x: + return line.first*x+line.second; + } + + + public: + /** + *\private A function that compute sum of two landscapes. + **/ + friend Persistence_landscape_on_grid add_two_landscapes ( const Persistence_landscape_on_grid& land1 , const Persistence_landscape_on_grid& land2 ) + { + return operation_on_pair_of_landscapes_on_grid< std::plus >(land1,land2); + } + + /** + *\private A function that compute difference of two landscapes. + **/ + friend Persistence_landscape_on_grid subtract_two_landscapes ( const Persistence_landscape_on_grid& land1 , const Persistence_landscape_on_grid& land2 ) + { + return operation_on_pair_of_landscapes_on_grid< std::minus >(land1,land2); + } + + /** + * An operator +, that compute sum of two landscapes. + **/ + friend Persistence_landscape_on_grid operator+( const Persistence_landscape_on_grid& first , const Persistence_landscape_on_grid& second ) + { + return add_two_landscapes( first,second ); + } + + /** + * An operator -, that compute difference of two landscapes. + **/ + friend Persistence_landscape_on_grid operator-( const Persistence_landscape_on_grid& first , const Persistence_landscape_on_grid& second ) + { + return subtract_two_landscapes( first,second ); + } + + /** + * An operator * that allows multipilication of a landscape by a real number. + **/ + friend Persistence_landscape_on_grid operator*( const Persistence_landscape_on_grid& first , double con ) + { + return first.multiply_lanscape_by_real_number_not_overwrite(con); + } + + /** + * An operator * that allows multipilication of a landscape by a real number (order of parameters swapped). + **/ + friend Persistence_landscape_on_grid operator*( double con , const Persistence_landscape_on_grid& first ) + { + return first.multiply_lanscape_by_real_number_not_overwrite(con); + } + + friend bool check_if_defined_on_the_same_domain( const Persistence_landscape_on_grid& land1, const Persistence_landscape_on_grid& land2 ) + { + if ( land1.values_of_landscapes.size() != land2.values_of_landscapes.size() )return false; + if ( land1.grid_min != land2.grid_min )return false; + if ( land1.grid_max != land2.grid_max )return false; + return true; + } + + /** + * Operator +=. The second parameter is persistnece landwscape. + **/ + Persistence_landscape_on_grid operator += ( const Persistence_landscape_on_grid& rhs ) + { + *this = *this + rhs; + return *this; + } + + /** + * Operator -=. The second parameter is persistnece landwscape. + **/ + Persistence_landscape_on_grid operator -= ( const Persistence_landscape_on_grid& rhs ) + { + *this = *this - rhs; + return *this; + } + + + /** + * Operator *=. The second parameter is a real number by which the y values of all landscape functions are multiplied. The x-values remain unchanged. + **/ + Persistence_landscape_on_grid operator *= ( double x ) + { + *this = *this*x; + return *this; + } + + /** + * Operator /=. The second parameter is a real number. + **/ + Persistence_landscape_on_grid operator /= ( double x ) + { + if ( x == 0 )throw( "In operator /=, division by 0. Program terminated." ); + *this = *this * (1/x); + return *this; + } + + /** + * An operator to compare two persistence landscapes. + **/ + bool operator == ( const Persistence_landscape_on_grid& rhs )const + { + bool dbg = true; + if ( this->values_of_landscapes.size() != rhs.values_of_landscapes.size() ) + { + if (dbg) std::cerr << "values_of_landscapes of incompatable sizes\n"; + return false; + } + if ( !almost_equal( this->grid_min , rhs.grid_min ) ) + { + if (dbg) std::cerr << "grid_min not equal\n"; + return false; + } + if ( !almost_equal(this->grid_max,rhs.grid_max ) ) + { + if (dbg) std::cerr << "grid_max not equal\n"; + return false; + } + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + for ( size_t aa = 0 ; aa != this->values_of_landscapes[i].size() ; ++aa ) + { + if ( !almost_equal( this->values_of_landscapes[i][aa] , rhs.values_of_landscapes[i][aa] ) ) + { + if (dbg) + { + std::cerr << "Problem in the position : " << i << " of values_of_landscapes. \n"; + std::cerr << this->values_of_landscapes[i][aa] << " " << rhs.values_of_landscapes[i][aa] << std::endl; + } + return false; + } + } + } + return true; + } + + + /** + * An operator to compare two persistence landscapes. + **/ + bool operator != ( const Persistence_landscape_on_grid& rhs )const + { + return !((*this) == rhs); + } + + + /** + * Computations of maximum (y) value of landscape. + **/ + double compute_maximum()const + { + //since the function can only be entirely positive or negative, the maximal value will be an extremal value in the arrays: + double max_value = -std::numeric_limits::max(); + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + if ( this->values_of_landscapes[i].size() ) + { + if ( this->values_of_landscapes[i][0] > max_value )max_value = this->values_of_landscapes[i][0]; + if ( this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ] > max_value )max_value = this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ]; + } + } + return max_value; + } + + /** + * Computations of minimum and maximum value of landscape. + **/ + std::pair compute_minimum_maximum()const + { + //since the function can only be entirely positive or negative, the maximal value will be an extremal value in the arrays: + double max_value = -std::numeric_limits::max(); + double min_value = 0; + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + if ( this->values_of_landscapes[i].size() ) + { + if ( this->values_of_landscapes[i][0] > max_value )max_value = this->values_of_landscapes[i][0]; + if ( this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ] > max_value )max_value = this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ]; + + if ( this->values_of_landscapes[i][0] < min_value )min_value = this->values_of_landscapes[i][0]; + if ( this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ] < min_value )min_value = this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ]; + } + } + return std::make_pair(min_value , max_value); + } + + /** + * This procedure returns x-range of a given level persistence landscape. If a default value is used, the x-range + * of 0th level landscape is given (and this range contains the ranges of all other landscapes). + **/ + std::pair< double , double > get_x_range( size_t level = 0 )const + { + return std::make_pair( this->grid_min , this->grid_max ); + //std::pair< double , double > result; + //if ( level < this->land.size() ) + //{ + // double dx = (this->grid_max - this->grid_min)/(double)this->values_of_landscapes.size(); + // size_t first_nonzero = 0; + // while ( (first_nonzero != this->values_of_landscapes.size()) && (this->values_of_landscapes[level][first_nonzero] == 0) )++first_nonzero; + // + // if ( first_nonzero == 0 ) + // { + // return std::make_pair( 0,0 );//this landscape is empty. + // } + // + // size_t last_nonzero = 0; + // while ( (last_nonzero != 0) && (this->values_of_landscapes[level][last_nonzero] == 0) )--last_nonzero; + // + // result = std::make_pair( this->grid_min +first_nonzero*dx , this->grid_max - last_nonzero*dx ); + //} + //else + //{ + // result = std::make_pair( 0,0 ); + //} + //return result; + } + + /** + * This procedure returns y-range of a persistence landscape. If a default value is used, the y-range + * of 0th level landscape is given (and this range contains the ranges of all other landscapes). + **/ + std::pair< double , double > get_y_range( size_t level = 0 )const + { + return this->compute_minimum_maximum(); + //std::pair< double , double > result; + //if ( level < this->land.size() ) + //{ + // result = this->compute_minimum_maximum() + //} + //else + //{ + // result = std::make_pair( 0,0 ); + //} + //return result; + } + + /** + * This function computes maximal lambda for which lambda-level landscape is nonzero. + **/ + size_t number_of_nonzero_levels()const + { + size_t result = 0; + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + if ( this->values_of_landscapes[i].size() > result )result = this->values_of_landscapes[i].size(); + } + return result; + } + + /** + * Computations of a \f$L^i\f$ norm of landscape, where i is the input parameter. + **/ + double compute_norm_of_landscape( double i )const + { + std::vector< std::pair< double , double > > p; + Persistence_landscape_on_grid l(p,this->grid_min,this->grid_max,this->values_of_landscapes.size()-1); + + if ( i < std::numeric_limits::max() ) + { + return compute_distance_of_landscapes_on_grid(*this,l,i); + } + else + { + return compute_max_norm_distance_of_landscapes(*this,l); + } + } + + /** + * An operator to compute the value of a landscape in the level 'level' at the argument 'x'. + **/ + double operator()(unsigned level,double x)const{return this->compute_value_at_a_given_point(level,x);} + + /** + * Computations of \f$L^{\infty}\f$ distance between two landscapes. + **/ + friend double compute_max_norm_distance_of_landscapes( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second ); + //friend double compute_max_norm_distance_of_landscapes( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second , unsigned& nrOfLand , double&x , double& y1, double& y2 ); + + + + + /** + * Function to compute absolute value of a PL function. The representation of persistence landscapes allow to store general PL-function. When computing distance betwen two landscapes, we compute difference between + * them. In this case, a general PL-function with negative value can appear as a result. Then in order to compute distance, we need to take its absolute value. This is the purpose of this procedure. + **/ + void abs() + { + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->values_of_landscapes[i].size() ; ++j ) + { + this->values_of_landscapes[i][j] = std::abs( this->values_of_landscapes[i][j] ); + } + } + } + + /** + * Computes the number of landscape functions. + **/ + size_t size()const{return this->number_of_nonzero_levels(); } + + /** + * Computate maximal value of lambda-level landscape. + **/ + double find_max( unsigned lambda )const + { + double max_value = -std::numeric_limits::max(); + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + if ( this->values_of_landscapes[i].size() > lambda ) + { + if ( this->values_of_landscapes[i][lambda] > max_value )max_value = this->values_of_landscapes[i][lambda]; + } + } + return max_value; + } + + /** + * Function to compute inner (scalar) product of two landscapes. + **/ + friend double compute_inner_product( const Persistence_landscape_on_grid& l1 , const Persistence_landscape_on_grid& l2 ) + { + if ( !check_if_defined_on_the_same_domain(l1,l2) )throw "Landscapes are not defined on the same grid, the program will now terminate"; + size_t maximal_level = l1.number_of_nonzero_levels(); + double result = 0; + for ( size_t i = 0 ; i != maximal_level ; ++i ) + { + result += compute_inner_product(l1,l2,i); + } + return result; + } + + + + /** + * Function to compute inner (scalar) product of given levels of two landscapes. + **/ + friend double compute_inner_product( const Persistence_landscape_on_grid& l1 , const Persistence_landscape_on_grid& l2 , size_t level ) + { + bool dbg = false; + + if ( !check_if_defined_on_the_same_domain(l1,l2) )throw "Landscapes are not defined on the same grid, the program will now terminate"; + double result = 0; + + double dx = (l1.grid_max - l1.grid_min)/(double)(l1.values_of_landscapes.size()-1); + + double previous_x = l1.grid_min-dx; + double previous_y_l1 = 0; + double previous_y_l2 = 0; + for ( size_t i = 0 ; i != l1.values_of_landscapes.size() ; ++i ) + { + if ( dbg )std::cerr << "i : " << i << std::endl; + + double current_x = previous_x + dx; + double current_y_l1 = 0; + if ( l1.values_of_landscapes[i].size() > level )current_y_l1 = l1.values_of_landscapes[i][level]; + + double current_y_l2 = 0; + if ( l2.values_of_landscapes[i].size() > level )current_y_l2 = l2.values_of_landscapes[i][level]; + + if ( dbg ) + { + std::cerr << "previous_x : " << previous_x << std::endl; + std::cerr << "previous_y_l1 : " << previous_y_l1 << std::endl; + std::cerr << "current_y_l1 : " << current_y_l1 << std::endl; + std::cerr << "previous_y_l2 : " << previous_y_l2 << std::endl; + std::cerr << "current_y_l2 : " << current_y_l2 << std::endl; + } + + std::pair l1_coords = compute_parameters_of_a_line( std::make_pair( previous_x , previous_y_l1 ) , std::make_pair( current_x , current_y_l1 ) ); + std::pair l2_coords = compute_parameters_of_a_line( std::make_pair( previous_x , previous_y_l2 ) , std::make_pair( current_x , current_y_l2 ) ); + + //let us assume that the first line is of a form y = ax+b, and the second one is of a form y = cx + d. Then here are a,b,c,d: + double a = l1_coords.first; + double b = l1_coords.second; + + double c = l2_coords.first; + double d = l2_coords.second; + + if ( dbg ) + { + std::cerr << "Here are the formulas for a line: \n"; + std::cerr << "a : " << a << std::endl; + std::cerr << "b : " << b << std::endl; + std::cerr << "c : " << c << std::endl; + std::cerr << "d : " << d << std::endl; + } + + //now, to compute the inner product in this interval we need to compute the integral of (ax+b)(cx+d) = acx^2 + (ad+bc)x + bd in the interval from previous_x to current_x: + //The integal is ac/3*x^3 + (ac+bd)/2*x^2 + bd*x + + double added_value = (a*c/3*current_x*current_x*current_x + (a*d+b*c)/2*current_x*current_x + b*d*current_x)- + (a*c/3*previous_x*previous_x*previous_x + (a*d+b*c)/2*previous_x*previous_x + b*d*previous_x); + + if ( dbg ) + { + std::cerr << "Value of the integral on the left end ie : " << previous_x << " is : " << a*c/3*previous_x*previous_x*previous_x + (a*d+b*c)/2*previous_x*previous_x + b*d*previous_x << std::endl; + std::cerr << "Value of the integral on the right end i.e. : " << current_x << " is " << a*c/3*current_x*current_x*current_x + (a*d+b*c)/2*current_x*current_x + b*d*current_x << std::endl; + } + + result += added_value; + + if ( dbg ) + { + std::cerr << "added_value : " << added_value << std::endl; + std::cerr << "result : " << result << std::endl; + getchar(); + } + + + previous_x = current_x; + previous_y_l1 = current_y_l1; + previous_y_l2 = current_y_l2; + + } + return result; + } + + + /** + * Computations of \f$L^{p}\f$ distance between two landscapes on a grid. p is the parameter of the procedure. + * FIXME: Note that, due to the grid representation, the method below may give non--accurate results in case when the landscape P and Q the difference of which we want to compute + * are interxsecting. This is a consequence of a general way they are computed. In the future, an integral of absolute value of a difference of P and Q will be given as a separated + * function to fix that inaccuracy. + **/ + friend double compute_distance_of_landscapes_on_grid( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second , double p ) + { + bool dbg = false; + //This is what we want to compute: (\int_{- \infty}^{+\infty}| first-second |^p)^(1/p). We will do it one step at a time: + + if ( dbg ) + { + std::cerr << "first : " << first << std::endl; + std::cerr << "second : " << second << std::endl; + getchar(); + } + + //first-second : + Persistence_landscape_on_grid lan = first-second; + + if ( dbg ) + { + std::cerr << "Difference : " << lan << std::endl; + } + + //| first-second |: + lan.abs(); + + if ( dbg ) + { + std::cerr << "Abs : " << lan << std::endl; + } + + if ( p < std::numeric_limits< double >::max() ) + { + //\int_{- \infty}^{+\infty}| first-second |^p + double result; + if ( p != 1 ) + { + if (dbg){std::cerr << "p : " << p << std::endl; getchar();} + result = lan.compute_integral_of_landscape( (double)p ); + if (dbg){std::cerr << "integral : " << result << std::endl;getchar();} + } + else + { + result = lan.compute_integral_of_landscape(); + if (dbg){std::cerr << "integral, wihtout power : " << result << std::endl;getchar();} + } + //(\int_{- \infty}^{+\infty}| first-second |^p)^(1/p) + return pow( result , 1/(double)p ); + } + else + { + //p == infty + return lan.compute_maximum(); + } + } + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + //Functions that are needed for that class to implement the concept. + + /** + * The number of projections to R is defined to the number of nonzero landscape functions. I-th projection is an integral of i-th landscape function over whole R. + * This function is required by the Real_valued_topological_data concept. + **/ + double project_to_R( int number_of_function )const + { + return this->compute_integral_of_landscape( (size_t)number_of_function ); + } + + /** + * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. + **/ + size_t number_of_projections_to_R()const + { + return number_of_functions_for_projections_to_reals; + } + + + + + /** + * This function produce a vector of doubles based on a landscape. It is required in a concept Vectorized_topological_data + */ + std::vector vectorize( int number_of_function )const + { + //TODO, think of something smarter over here + if ( ( number_of_function < 0 ) || ( (size_t)number_of_function >= this->values_of_landscapes.size() ) ) + { + throw "Wrong number of function\n"; + } + std::vector v( this->values_of_landscapes.size() ); + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + v[i] = 0; + if ( this->values_of_landscapes[i].size() > (size_t)number_of_function ) + { + v[ i ] = this->values_of_landscapes[i][number_of_function]; + } + } + return v; + } + + /** + * This function return the number of functions that allows vectorization of persistence laandscape. It is required in a concept Vectorized_topological_data. + **/ + size_t number_of_vectorize_functions()const + { + return number_of_functions_for_vectorization; + } + + + + + + /** + * A function to compute averaged persistence landscape on a grid, based on vector of persistence landscapes on grid. + * This function is required by Topological_data_with_averages concept. + **/ + void compute_average( const std::vector< Persistence_landscape_on_grid* >& to_average ) + { + + bool dbg = false; + //After execution of this procedure, the average is supposed to be in the current object. To make sure that this is the case, we need to do some cleaning first. + this->values_of_landscapes .clear(); + this->grid_min = this->grid_max = 0; + + //if there is nothing to averate, then the average is a zero landscape. + if ( to_average.size() == 0 )return; + + //now we need to check if the grids in all objects of to_average are the same: + for ( size_t i = 0 ; i != to_average.size() ; ++i ) + { + if ( !check_if_defined_on_the_same_domain(*(to_average[0]),*(to_average[i])) )throw "Two grids are not compatible"; + } + + this->values_of_landscapes = std::vector< std::vector >( (to_average[0])->values_of_landscapes.size() ); + this->grid_min = (to_average[0])->grid_min; + this->grid_max = (to_average[0])->grid_max; + + if ( dbg ) + { + std::cerr << "Computations of average. The data from the current landscape have been cleared. We are ready to do the computations. \n"; + } + + //for every point in the grid: + for ( size_t grid_point = 0 ; grid_point != (to_average[0])->values_of_landscapes.size() ; ++grid_point ) + { + + //set up a vector of the correct size: + size_t maximal_size_of_vector = 0; + for ( size_t land_no = 0 ; land_no != to_average.size() ; ++land_no ) + { + if ( (to_average[land_no])->values_of_landscapes[grid_point].size() > maximal_size_of_vector ) + maximal_size_of_vector = (to_average[land_no])->values_of_landscapes[grid_point].size(); + } + this->values_of_landscapes[grid_point] = std::vector( maximal_size_of_vector ); + + if ( dbg ) + { + std::cerr << "We are considering the point : " << grid_point << " of the grid. In this point, there are at most : " << maximal_size_of_vector << " nonzero landscape functions \n"; + } + + //and compute an arythmetic average: + for ( size_t land_no = 0 ; land_no != to_average.size() ; ++land_no ) + { + //summing: + for ( size_t i = 0 ; i != (to_average[land_no])->values_of_landscapes[grid_point].size() ; ++i ) + { + //compute the average in a smarter way. + this->values_of_landscapes[grid_point][i] += (to_average[land_no])->values_of_landscapes[grid_point][i]; + } + } + //normalizing: + for ( size_t i = 0 ; i != this->values_of_landscapes[grid_point].size() ; ++i ) + { + this->values_of_landscapes[grid_point][i] /= (double)to_average.size(); + } + } + }//compute_average + + + /** + * A function to compute distance between persistence landscape on a grid. + * The parameter of this functionis a Persistence_landscape_on_grid. + * This function is required in Topological_data_with_distances concept. + * For max norm distance, set power to std::numeric_limits::max() + **/ + double distance( const Persistence_landscape_on_grid& second , double power = 1 )const + { + if ( power < std::numeric_limits::max() ) + { + return compute_distance_of_landscapes_on_grid( *this , second , power ); + } + else + { + return compute_max_norm_distance_of_landscapes( *this , second ); + } + } + + /** + * A function to compute scalar product of persistence landscape on a grid. + * The parameter of this functionis a Persistence_landscape_on_grid. + * This function is required in Topological_data_with_scalar_product concept. + **/ + double compute_scalar_product( const Persistence_landscape_on_grid& second ) + { + return compute_inner_product( (*this) , second ); + } + + //end of implementation of functions needed for concepts. + + + + + + + + + + + + + + + + + + + + + /** + * A function that returns values of landsapes. It can be used for vizualization + **/ + std::vector< std::vector< double > > output_for_visualization()const + { + return this->values_of_landscapes; + } + + /** + * function used to create a gnuplot script for visualization of landscapes. Over here we need to specify which landscapes do we want to plot. + * In addition, the user may specify the range (min and max) where landscape is plot. The fefault values for min and max are std::numeric_limits::max(). If the procedure detect those + * values, it will determine the range so that the whole landscape is supported there. If at least one min or max value is different from std::numeric_limits::max(), then the values + * provided by the user will be used. + **/ + void plot( const char* filename , size_t from_ , size_t to_ )const + { + this->plot( filename , std::numeric_limits::max() , std::numeric_limits::max(), std::numeric_limits::max() , std::numeric_limits::max() , from_ , to_ ); + } + + /** + * function used to create a gnuplot script for visualization of landscapes. Over here we can restrict also x and y range of the landscape. + **/ + void plot( const char* filename, double min_x = std::numeric_limits::max() , double max_x = std::numeric_limits::max() , double min_y = std::numeric_limits::max() , double max_y = std::numeric_limits::max() , size_t from_ = std::numeric_limits::max(), size_t to_= std::numeric_limits::max() )const; + + +protected: + double grid_min; + double grid_max; + std::vector< std::vector< double > > values_of_landscapes; + size_t number_of_functions_for_vectorization; + size_t number_of_functions_for_projections_to_reals; + + void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() + { + //warning, this function can be only called after filling in the values_of_landscapes vector. + this->number_of_functions_for_vectorization = this->values_of_landscapes.size(); + this->number_of_functions_for_projections_to_reals = this->values_of_landscapes.size(); + } + void set_up_values_of_landscapes( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_ , unsigned number_of_levels = std::numeric_limits::max() ); + Persistence_landscape_on_grid multiply_lanscape_by_real_number_not_overwrite( double x )const; +}; + + +void Persistence_landscape_on_grid::set_up_values_of_landscapes( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_, unsigned number_of_levels ) +{ + bool dbg = false; + if ( dbg ) + { + std::cerr << "Here is the procedure : set_up_values_of_landscapes. The parameters are : grid_min_ : " << grid_min_ << ", grid_max_ : " << grid_max_ << ", number_of_points_ : " << number_of_points_ << ", number_of_levels: " << number_of_levels << std::endl; + std::cerr << "Here are the intervals at our disposal : \n"; + for ( size_t i = 0 ; i != p.size() ; ++i ) + { + std::cerr << p[i].first << " , " << p[i].second << std::endl; + } + } + + if ( (grid_min_ == std::numeric_limits::max()) || (grid_max_ == std::numeric_limits::max()) ) + { + //in this case, we need to find grid_min_ and grid_min_ based on the data. + double min = std::numeric_limits::max(); + double max = std::numeric_limits::min(); + for ( size_t i = 0 ; i != p.size() ; ++i ) + { + if ( p[i].first < min )min = p[i].first; + if ( p[i].second > max )max = p[i].second; + } + if ( grid_min_ == std::numeric_limits::max() ) + { + grid_min_ = min; + } + else + { + //in this case grid_max_ == std::numeric_limits::max() + grid_max_ = max; + } + } + + //if number_of_levels == std::numeric_limits::max(), then we will have all the nonzero values of landscapes, and will store them in a vector + //if number_of_levels != std::numeric_limits::max(), then we will use those vectors as heaps. + this->values_of_landscapes = std::vector< std::vector< double > >( number_of_points_+1 ); + + + this->grid_min = grid_min_; + this->grid_max = grid_max_; + + if ( grid_max_ <= grid_min_ ) + { + throw "Wrong parameters of grid_min and grid_max given to the procedure. THe grid have negative, or zero size. The program will now terminate.\n"; + } + + double dx = ( grid_max_ - grid_min_ )/(double)(number_of_points_); + //for every interval in the diagram: + for ( size_t int_no = 0 ; int_no != p.size() ; ++int_no ) + { + size_t grid_interval_begin = (p[int_no].first-grid_min_)/dx; + size_t grid_interval_end = (p[int_no].second-grid_min_)/dx; + size_t grid_interval_midpoint = (size_t)(0.5*(grid_interval_begin+grid_interval_end)); + + if ( dbg ) + { + std::cerr << "Considering an interval : " << p[int_no].first << "," << p[int_no].second << std::endl; + + std::cerr << "grid_interval_begin : " << grid_interval_begin << std::endl; + std::cerr << "grid_interval_end : " << grid_interval_end << std::endl; + std::cerr << "grid_interval_midpoint : " << grid_interval_midpoint << std::endl; + } + + double landscape_value = dx; + for ( size_t i = grid_interval_begin+1 ; i < grid_interval_midpoint ; ++i ) + { + if ( dbg ) + { + std::cerr << "Adding landscape value (going up) for a point : " << i << " equal : " << landscape_value << std::endl; + } + if ( number_of_levels != std::numeric_limits::max() ) + { + //we have a heap of no more that number_of_levels values. + //Note that if we are using heaps, we want to know the shortest distance in the heap. + //This is achieved by putting -distance to the heap. + if ( this->values_of_landscapes[i].size() >= number_of_levels ) + { + //in this case, the full heap is build, and we need to check if the landscape_value is not larger than the smallest element in the heap. + if ( -landscape_value < this->values_of_landscapes[i].front() ) + { + //if it is, we remove the largest value in the heap, and move on. + std::pop_heap (this->values_of_landscapes[i].begin(),this->values_of_landscapes[i].end()); + this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ] = -landscape_value; + std::push_heap (this->values_of_landscapes[i].begin(),this->values_of_landscapes[i].end()); + } + } + else + { + + //in this case we are still filling in the array. + this->values_of_landscapes[i].push_back( -landscape_value ); + if ( this->values_of_landscapes[i].size() == number_of_levels-1 ) + { + //this->values_of_landscapes[i].size() == number_of_levels + //in this case we need to create the heep. + std::make_heap (this->values_of_landscapes[i].begin(),this->values_of_landscapes[i].end()); + } + } + } + else + { + //we have vector of all values + this->values_of_landscapes[i].push_back( landscape_value ); + } + landscape_value += dx; + } + for ( size_t i = grid_interval_midpoint ; i <= grid_interval_end ; ++i ) + { + if ( landscape_value > 0 ) + { + if ( number_of_levels != std::numeric_limits< unsigned >::max() ) + { + //we have a heap of no more that number_of_levels values + if ( this->values_of_landscapes[i].size() >= number_of_levels ) + { + //in this case, the full heap is build, and we need to check if the landscape_value is not larger than the smallest element in the heap. + if ( -landscape_value < this->values_of_landscapes[i].front() ) + { + //if it is, we remove the largest value in the heap, and move on. + std::pop_heap (this->values_of_landscapes[i].begin(),this->values_of_landscapes[i].end()); + this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ] = -landscape_value; + std::push_heap (this->values_of_landscapes[i].begin(),this->values_of_landscapes[i].end()); + } + } + else + { + + //in this case we are still filling in the array. + this->values_of_landscapes[i].push_back( -landscape_value ); + if ( this->values_of_landscapes[i].size() == number_of_levels-1 ) + { + //this->values_of_landscapes[i].size() == number_of_levels + //in this case we need to create the heep. + std::make_heap (this->values_of_landscapes[i].begin(),this->values_of_landscapes[i].end()); + } + } + } + else + { + this->values_of_landscapes[i].push_back( landscape_value ); + } + + + if ( dbg ) + { + std::cerr << "AAdding landscape value (going down) for a point : " << i << " equal : " << landscape_value << std::endl; + } + } + landscape_value -= dx; + } + } + + if ( number_of_levels != std::numeric_limits< unsigned >::max() ) + { + //in this case, vectors are used as heaps. And, since we want to have the smallest element at the top of + //each heap, we store mminus distances. To get if right at the end, we need to multiply each value + //in the heap by -1 to get real vector of distances. + for ( size_t pt = 0 ; pt != this->values_of_landscapes.size() ; ++pt ) + { + //std::cerr << this->values_of_landscapes[pt].size() <values_of_landscapes[pt].size() ; ++j ) + { + this->values_of_landscapes[pt][j] *= -1; + } + } + } + + //and now we need to sort the values: + for ( size_t pt = 0 ; pt != this->values_of_landscapes.size() ; ++pt ) + { + std::sort( this->values_of_landscapes[pt].begin() , this->values_of_landscapes[pt].end() , std::greater() ); + } +}//set_up_values_of_landscapes + + + +Persistence_landscape_on_grid::Persistence_landscape_on_grid( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_ ) +{ + this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ ); +}//Persistence_landscape_on_grid + + +Persistence_landscape_on_grid::Persistence_landscape_on_grid( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_ , unsigned number_of_levels_of_landscape ) +{ + this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ , number_of_levels_of_landscape ); +} + + +Persistence_landscape_on_grid::Persistence_landscape_on_grid(const char* filename , double grid_min_, double grid_max_ , size_t number_of_points_ , unsigned short dimension ) +{ + std::vector< std::pair< double , double > > p; + if ( dimension == std::numeric_limits::max() ) + { + p = read_persistence_intervals_in_one_dimension_from_file( filename ); + } + else + { + p = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); + } + this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ ); +} + +Persistence_landscape_on_grid::Persistence_landscape_on_grid(const char* filename , double grid_min_, double grid_max_ , size_t number_of_points_, unsigned number_of_levels_of_landscape, unsigned short dimension ) +{ + std::vector< std::pair< double , double > > p; + if ( dimension == std::numeric_limits::max() ) + { + p = read_persistence_intervals_in_one_dimension_from_file( filename ); + } + else + { + p = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); + } + this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ , number_of_levels_of_landscape ); +} + +Persistence_landscape_on_grid::Persistence_landscape_on_grid(const char* filename , size_t number_of_points_ , unsigned short dimension ) +{ + std::vector< std::pair< double , double > > p; + if ( dimension == std::numeric_limits::max() ) + { + p = read_persistence_intervals_in_one_dimension_from_file( filename ); + } + else + { + p = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); + } + double grid_min_ = std::numeric_limits::max(); + double grid_max_ = -std::numeric_limits::max(); + for ( size_t i = 0 ; i != p.size() ; ++i ) + { + if ( p[i].first < grid_min_ )grid_min_ = p[i].first; + if ( p[i].second > grid_max_ )grid_max_ = p[i].second; + } + this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ ); +} + +Persistence_landscape_on_grid::Persistence_landscape_on_grid(const char* filename , size_t number_of_points_ , unsigned number_of_levels_of_landscape , unsigned short dimension ) +{ + std::vector< std::pair< double , double > > p; + if ( dimension == std::numeric_limits::max() ) + { + p = read_persistence_intervals_in_one_dimension_from_file( filename ); + } + else + { + p = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); + } + double grid_min_ = std::numeric_limits::max(); + double grid_max_ = -std::numeric_limits::max(); + for ( size_t i = 0 ; i != p.size() ; ++i ) + { + if ( p[i].first < grid_min_ )grid_min_ = p[i].first; + if ( p[i].second > grid_max_ )grid_max_ = p[i].second; + } + this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ , number_of_levels_of_landscape ); +} + + +void Persistence_landscape_on_grid::load_landscape_from_file( const char* filename ) +{ + std::ifstream in; + in.open( filename ); + //check if the file exist. + if ( !in.good() ) + { + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; + } + + size_t number_of_points_in_the_grid = 0; + in >> this->grid_min >> this->grid_max >> number_of_points_in_the_grid; + + std::vector< std::vector< double > > v(number_of_points_in_the_grid); + std::string line; + std::getline(in, line); + double number; + for ( size_t i = 0 ; i != number_of_points_in_the_grid ; ++i ) + { + //read a line of a file and convert it to a vector. + std::vector< double > vv; + std::getline(in, line); + //std::cerr << "Reading line : " << line << std::endl;getchar(); + std::istringstream stream(line); + while (stream >> number) + { + vv.push_back(number); + } + v[i] = vv; + } + this->values_of_landscapes = v; + in.close(); +} + +void Persistence_landscape_on_grid::print_to_file( const char* filename )const +{ + std::ofstream out; + out.open( filename ); + + //first we store the parameters of the grid: + out << grid_min << std::endl << grid_max << std::endl << this->values_of_landscapes.size() << std::endl; + + //and now in the following lines, the values of this->values_of_landscapes for the following arguments: + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + for ( size_t j = 0 ; j != this->values_of_landscapes[i].size() ; ++j ) + { + out << this->values_of_landscapes[i][j] << " "; + } + out << std::endl; + } + + out.close(); +} + +void Persistence_landscape_on_grid::plot( const char* filename, double min_x , double max_x , double min_y , double max_y, size_t from_ , size_t to_ )const +{ + //this program create a gnuplot script file that allows to plot persistence diagram. + std::ofstream out; + + std::ostringstream nameSS; + nameSS << filename << "_GnuplotScript"; + std::string nameStr = nameSS.str(); + out.open( nameStr ); + + if ( min_x == max_x ) + { + std::pair min_max = compute_minimum_maximum(); + out << "set xrange [" << this->grid_min << " : " << this->grid_max << "]" << std::endl; + out << "set yrange [" << min_max.first << " : " << min_max.second << "]" << std::endl; + } + else + { + out << "set xrange [" << min_x << " : " << max_x << "]" << std::endl; + out << "set yrange [" << min_y << " : " << max_y << "]" << std::endl; + } + + size_t number_of_nonzero_levels = this->number_of_nonzero_levels(); + double dx = ( this->grid_max - this->grid_min )/((double)this->values_of_landscapes.size()-1); + + + size_t from = 0; + if ( from_ != std::numeric_limits::max() ) + { + if ( from_ < number_of_nonzero_levels ) + { + from = from_; + } + else + { + return; + } + } + size_t to = number_of_nonzero_levels; + if ( to_ != std::numeric_limits::max() ) + { + if ( to_ < number_of_nonzero_levels ) + { + to = to_; + } + } + + + out << "plot "; + for ( size_t lambda= from ; lambda != to ; ++lambda ) + { + //out << " '-' using 1:2 title 'l" << lambda << "' with lp"; + out << " '-' using 1:2 notitle with lp"; + if ( lambda+1 != to ) + { + out << ", \\"; + } + out << std::endl; + } + + for ( size_t lambda = from ; lambda != to ; ++lambda ) + { + double point = this->grid_min; + for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) + { + double value = 0; + if ( this->values_of_landscapes[i].size() > lambda ) + { + value = this->values_of_landscapes[i][lambda]; + } + out << point << " " << value << std::endl; + point += dx; + } + out << "EOF" << std::endl; + } + std::cout << "Gnuplot script to visualize persistence diagram written to the file: " << nameStr << ". Type load '" << nameStr << "' in gnuplot to visualize." << std::endl; +} + +template < typename T > +Persistence_landscape_on_grid operation_on_pair_of_landscapes_on_grid ( const Persistence_landscape_on_grid& land1 , const Persistence_landscape_on_grid& land2 ) +{ + //first we need to check if the domains are the same: + if ( !check_if_defined_on_the_same_domain(land1,land2) )throw "Two grids are not compatible"; + + T oper; + Persistence_landscape_on_grid result; + result.values_of_landscapes = std::vector< std::vector< double > >( land1.values_of_landscapes.size() ); + result.grid_min = land1.grid_min; + result.grid_max = land1.grid_max; + + //now we perorm the operations: + for ( size_t grid_point = 0 ; grid_point != land1.values_of_landscapes.size() ; ++grid_point ) + { + result.values_of_landscapes[grid_point] = std::vector< double >( std::max( land1.values_of_landscapes[grid_point].size() , land2.values_of_landscapes[grid_point].size() ) ); + for ( size_t lambda = 0 ; lambda != std::max( land1.values_of_landscapes[grid_point].size() , land2.values_of_landscapes[grid_point].size() ) ; ++lambda ) + { + double value1 = 0; + double value2 = 0; + if ( lambda < land1.values_of_landscapes[grid_point].size() )value1 = land1.values_of_landscapes[grid_point][lambda]; + if ( lambda < land2.values_of_landscapes[grid_point].size() )value2 = land2.values_of_landscapes[grid_point][lambda]; + result.values_of_landscapes[grid_point][lambda] = oper( value1 , value2 ); + } + } + + return result; +} + +Persistence_landscape_on_grid Persistence_landscape_on_grid::multiply_lanscape_by_real_number_not_overwrite( double x )const +{ + Persistence_landscape_on_grid result; + result.values_of_landscapes = std::vector< std::vector< double > >( this->values_of_landscapes.size() ); + result.grid_min = this->grid_min; + result.grid_max = this->grid_max; + + for ( size_t grid_point = 0 ; grid_point != this->values_of_landscapes.size() ; ++grid_point ) + { + result.values_of_landscapes[grid_point] = std::vector< double >( this->values_of_landscapes[grid_point].size() ); + for ( size_t i = 0 ; i != this->values_of_landscapes[grid_point].size() ; ++i ) + { + result.values_of_landscapes[grid_point][i] = x*this->values_of_landscapes[grid_point][i]; + } + } + + return result; +} + +double compute_max_norm_distance_of_landscapes( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second ) +{ + double result = 0; + + //first we need to check if first and second is defined on the same domain" + if ( !check_if_defined_on_the_same_domain(first, second) )throw "Two grids are not compatible"; + + for ( size_t i = 0 ; i != first.values_of_landscapes.size() ; ++i ) + { + for ( size_t j = 0 ; j != std::min( first.values_of_landscapes[i].size() , second.values_of_landscapes[i].size() ) ; ++j ) + { + if ( result < abs( first.values_of_landscapes[i][j] - second.values_of_landscapes[i][j] ) ) + { + result = abs( first.values_of_landscapes[i][j] - second.values_of_landscapes[i][j] ); + } + } + if ( first.values_of_landscapes[i].size() == std::min( first.values_of_landscapes[i].size() , second.values_of_landscapes[i].size() ) ) + { + for ( size_t j = first.values_of_landscapes[i].size() ; j != second.values_of_landscapes[i].size() ; ++j ) + { + if ( result < second.values_of_landscapes[i][j] )result = second.values_of_landscapes[i][j]; + } + } + if ( second.values_of_landscapes[i].size() == std::min( first.values_of_landscapes[i].size() , second.values_of_landscapes[i].size() ) ) + { + for ( size_t j = second.values_of_landscapes[i].size() ; j != first.values_of_landscapes[i].size() ; ++j ) + { + if ( result < first.values_of_landscapes[i][j] )result = first.values_of_landscapes[i][j]; + } + } + } + return result; +} + + + +}//namespace Gudhi_stat +}//namespace Gudhi + +#endif diff --git a/src/Gudhi_stat/include/gudhi/common_gudhi_stat.h b/src/Gudhi_stat/include/gudhi/common_gudhi_stat.h deleted file mode 100644 index 22887021..00000000 --- a/src/Gudhi_stat/include/gudhi/common_gudhi_stat.h +++ /dev/null @@ -1,154 +0,0 @@ -/* 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 . - */ - -#ifndef common_gudhi_stat_H -#define common_gudhi_stat_H - - -namespace Gudhi -{ -namespace Gudhi_stat -{ - //this file contain an implementation of some common procedures used in Gudhi_stat. - - //double epsi = std::numeric_limits::epsilon(); -double epsi = 0.000005; - - - - - -/** - * A procedure used to compare doubles. Typically gien two doubles A and B, comparing A == B is not good idea. In this case, we use the procedure almostEqual with the epsi defined at - * the top of the file. Setting up the epsi give the user a tolerance on what should be consider equal. -**/ -inline bool almost_equal( double a , double b ) -{ - if ( fabs(a-b) < epsi ) - return true; - return false; -} - - - - -//landscapes -/** - * Extra functions needed in construction of barcodes. -**/ -double minus_length( std::pair a ) -{ - return a.first-a.second; -} -double birth_plus_deaths( std::pair a ) -{ - return a.first+a.second; -} - - -//landscapes -/** - * Given two points in R^2, the procedure compute the parameters A and B of the line y = Ax + B that crosses those two points. -**/ -std::pair compute_parameters_of_a_line( std::pair p1 , std::pair p2 ) -{ - double a = (p2.second-p1.second)/( p2.first - p1.first ); - double b = p1.second - a*p1.first; - return std::make_pair(a,b); -} - -//landscapes -/** - * This procedure given two points which lies on the opposide sides of x axis, compute x for which the line connecting those two points crosses x axis. -**/ -double find_zero_of_a_line_segment_between_those_two_points ( std::pair p1, std::pair p2 ) -{ - if ( p1.first == p2.first )return p1.first; - if ( p1.second*p2.second > 0 ) - { - std::ostringstream errMessage; - errMessage <<"In function find_zero_of_a_line_segment_between_those_two_points the agguments are: (" << p1.first << "," << p1.second << ") and (" << p2.first << "," << p2.second << "). There is no zero in line between those two points. Program terminated."; - std::string errMessageStr = errMessage.str(); - const char* err = errMessageStr.c_str(); - throw(err); - } - //we assume here, that x \in [ p1.first, p2.first ] and p1 and p2 are points between which we will put the line segment - double a = (p2.second - p1.second)/(p2.first - p1.first); - double b = p1.second - a*p1.first; - //cerr << "Line crossing points : (" << p1.first << "," << p1.second << ") oraz (" << p2.first << "," << p2.second << ") : \n"; - //cerr << "a : " << a << " , b : " << b << " , x : " << x << endl; - return -b/a; -} - - - -//landscapes -/** - * This method provides a comparision of points that is used in construction of persistence landscapes. The orderign is lexicographical for the first coordinate, and reverse-lexicographical for the - * second coordinate. -**/ -bool compare_points_sorting( std::pair f, std::pair s ) -{ - if ( f.first < s.first ) - { - return true; - } - else - {//f.first >= s.first - if ( f.first > s.first ) - { - return false; - } - else - {//f.first == s.first - if ( f.second > s.second ) - { - return true; - } - else - { - return false; - } - } - } -} - - -//landscapes -/** - * This procedure takes two points in R^2 and a double value x. It conputes the line pasing through those two points and return the value of that linear function at x. -**/ -double function_value ( std::pair p1, std::pair p2 , double x ) -{ - //we assume here, that x \in [ p1.first, p2.first ] and p1 and p2 are points between which we will put the line segment - double a = (p2.second - p1.second)/(p2.first - p1.first); - double b = p1.second - a*p1.first; - return (a*x+b); -} - - - - -}//namespace Gudhi_stat -}//namespace Gudhi - -#endif diff --git a/src/Gudhi_stat/include/gudhi/common_persistence_representations.h b/src/Gudhi_stat/include/gudhi/common_persistence_representations.h new file mode 100644 index 00000000..f223079a --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/common_persistence_representations.h @@ -0,0 +1,154 @@ +/* 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 . + */ + +#ifndef common_gudhi_stat_H +#define common_gudhi_stat_H + + +namespace Gudhi +{ +namespace Persistence_representations +{ + //this file contain an implementation of some common procedures used in Gudhi_stat. + + //double epsi = std::numeric_limits::epsilon(); +double epsi = 0.000005; + + + + + +/** + * A procedure used to compare doubles. Typically gien two doubles A and B, comparing A == B is not good idea. In this case, we use the procedure almostEqual with the epsi defined at + * the top of the file. Setting up the epsi give the user a tolerance on what should be consider equal. +**/ +inline bool almost_equal( double a , double b ) +{ + if ( fabs(a-b) < epsi ) + return true; + return false; +} + + + + +//landscapes +/** + * Extra functions needed in construction of barcodes. +**/ +double minus_length( std::pair a ) +{ + return a.first-a.second; +} +double birth_plus_deaths( std::pair a ) +{ + return a.first+a.second; +} + + +//landscapes +/** + * Given two points in R^2, the procedure compute the parameters A and B of the line y = Ax + B that crosses those two points. +**/ +std::pair compute_parameters_of_a_line( std::pair p1 , std::pair p2 ) +{ + double a = (p2.second-p1.second)/( p2.first - p1.first ); + double b = p1.second - a*p1.first; + return std::make_pair(a,b); +} + +//landscapes +/** + * This procedure given two points which lies on the opposide sides of x axis, compute x for which the line connecting those two points crosses x axis. +**/ +double find_zero_of_a_line_segment_between_those_two_points ( std::pair p1, std::pair p2 ) +{ + if ( p1.first == p2.first )return p1.first; + if ( p1.second*p2.second > 0 ) + { + std::ostringstream errMessage; + errMessage <<"In function find_zero_of_a_line_segment_between_those_two_points the agguments are: (" << p1.first << "," << p1.second << ") and (" << p2.first << "," << p2.second << "). There is no zero in line between those two points. Program terminated."; + std::string errMessageStr = errMessage.str(); + const char* err = errMessageStr.c_str(); + throw(err); + } + //we assume here, that x \in [ p1.first, p2.first ] and p1 and p2 are points between which we will put the line segment + double a = (p2.second - p1.second)/(p2.first - p1.first); + double b = p1.second - a*p1.first; + //cerr << "Line crossing points : (" << p1.first << "," << p1.second << ") oraz (" << p2.first << "," << p2.second << ") : \n"; + //cerr << "a : " << a << " , b : " << b << " , x : " << x << endl; + return -b/a; +} + + + +//landscapes +/** + * This method provides a comparision of points that is used in construction of persistence landscapes. The orderign is lexicographical for the first coordinate, and reverse-lexicographical for the + * second coordinate. +**/ +bool compare_points_sorting( std::pair f, std::pair s ) +{ + if ( f.first < s.first ) + { + return true; + } + else + {//f.first >= s.first + if ( f.first > s.first ) + { + return false; + } + else + {//f.first == s.first + if ( f.second > s.second ) + { + return true; + } + else + { + return false; + } + } + } +} + + +//landscapes +/** + * This procedure takes two points in R^2 and a double value x. It conputes the line pasing through those two points and return the value of that linear function at x. +**/ +double function_value ( std::pair p1, std::pair p2 , double x ) +{ + //we assume here, that x \in [ p1.first, p2.first ] and p1 and p2 are points between which we will put the line segment + double a = (p2.second - p1.second)/(p2.first - p1.first); + double b = p1.second - a*p1.first; + return (a*x+b); +} + + + + +}//namespace Gudhi_stat +}//namespace Gudhi + +#endif diff --git a/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h b/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h index 7d1b04c9..a19e6d60 100644 --- a/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h +++ b/src/Gudhi_stat/include/gudhi/multiplicative_bootstrap.h @@ -24,10 +24,10 @@ #define BOOTSTRAP_H //concretizations -#include -#include -#include -#include +#include +#include +#include +#include #ifdef GUDHI_USE_TBB #include diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/PSSK.h b/src/Gudhi_stat/include/gudhi/persistence_representations/PSSK.h deleted file mode 100644 index d2fd3a86..00000000 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/PSSK.h +++ /dev/null @@ -1,181 +0,0 @@ -/* 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 . - */ - -#pragma once -#ifndef PSSK_H -#define PSSK_H - -//gudhi include -#include - - -namespace Gudhi -{ -namespace Gudhi_stat -{ - -/** -* This is a version of a representation presented in https://arxiv.org/abs/1412.6821 -* In that paper the authors are using the representation just to compute kernel. Over here, we extend the usability by far. -* Note that the version presented here is not exact, since we are discretizing the kernel. -* The only difference with respect to the original class is the method of creation. We have full (square) image, and for every point (p,q), we add a kernel at (p,q) and the negative kernel -* at (q,p) -**/ - -class PSSK : public Persistence_heat_maps -{ -public: - PSSK():Persistence_heat_maps(){} - - PSSK(const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ) - :Persistence_heat_maps() - { - this->construct( interval , filter , number_of_pixels , min_ , max_ ); - } - - - PSSK( const char* filename , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 , unsigned dimension = std::numeric_limits::max() ): - Persistence_heat_maps() - { - std::vector< std::pair< double , double > > intervals_; - if ( dimension == std::numeric_limits::max() ) - { - intervals_ = read_persistence_intervals_in_one_dimension_from_file( filename ); - } - else - { - intervals_ = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); - } - this->construct( intervals_ , filter , number_of_pixels , min_ , max_ ); - } - -protected: - void construct( const std::vector< std::pair >& intervals_ , - std::vector< std::vector > filter = create_Gaussian_filter(5,1), - size_t number_of_pixels = 1000 , double min_ = -1 , double max_ = -1 ); -}; - -//if min_ == max_, then the program is requested to set up the values itself based on persistence intervals -void PSSK::construct( const std::vector< std::pair >& intervals_ , - std::vector< std::vector > filter, - size_t number_of_pixels , double min_ , double max_ ) -{ - bool dbg = false; - if ( dbg ){std::cerr << "Entering construct procedure \n";getchar();} - - if ( min_ == max_ ) - { - //in this case, we want the program to set up the min_ and max_ values by itself. - min_ = std::numeric_limits::max(); - max_ = -std::numeric_limits::max(); - - - for ( size_t i = 0 ; i != intervals_.size() ; ++i ) - { - if ( intervals_[i].first < min_ )min_ = intervals_[i].first; - if ( intervals_[i].second > max_ )max_ = intervals_[i].second; - } - //now we have the structure filled in, and moreover we know min_ and max_ values of the interval, so we know the range. - - //add some more space: - min_ -= fabs(max_ - min_)/100; - max_ += fabs(max_ - min_)/100; - } - - if ( dbg ) - { - std::cerr << "min_ : " << min_ << std::endl; - std::cerr << "max_ : " << max_ << std::endl; - std::cerr << "number_of_pixels : " << number_of_pixels << std::endl; - getchar(); - } - - this->min_ = min_; - this->max_ = max_; - - - - //initialization of the structure heat_map - std::vector< std::vector > heat_map_; - for ( size_t i = 0 ; i != number_of_pixels ; ++i ) - { - std::vector v( number_of_pixels , 0 ); - heat_map_.push_back( v ); - } - this->heat_map = heat_map_; - - if (dbg)std::cerr << "Done creating of the heat map, now we will fill in the structure \n"; - - for ( size_t pt_nr = 0 ; pt_nr != intervals_.size() ; ++pt_nr ) - { - //compute the value of intervals_[pt_nr] in the grid: - int x_grid = (int)((intervals_[pt_nr].first - this->min_)/( this->max_-this->min_ )*number_of_pixels); - int y_grid = (int)((intervals_[pt_nr].second - this->min_)/( this->max_-this->min_ )*number_of_pixels); - - if ( dbg ) - { - std::cerr << "point : " << intervals_[pt_nr].first << " , " << intervals_[pt_nr].second << std::endl; - std::cerr << "x_grid : " << x_grid << std::endl; - std::cerr << "y_grid : " << y_grid << std::endl; - } - - //x_grid and y_grid gives a center of the kernel. We want to have its lower left cordner. To get this, we need to shift x_grid and y_grid by a grid diameter. - x_grid -= filter.size()/2; - y_grid -= filter.size()/2; - //note that the numbers x_grid and y_grid may be negative. - - if ( dbg ) - { - std::cerr << "After shift : \n";; - std::cerr << "x_grid : " << x_grid << std::endl; - std::cerr << "y_grid : " << y_grid << std::endl; - std::cerr << "filter.size() : " << filter.size() << std::endl; - getchar(); - } - - - for ( size_t i = 0 ; i != filter.size() ; ++i ) - { - for ( size_t j = 0 ; j != filter.size() ; ++j ) - { - //if the point (x_grid+i,y_grid+j) is the correct point in the grid. - if ( - ((x_grid+i)>=0) && (x_grid+iheat_map.size()) - && - ((y_grid+j)>=0) && (y_grid+jheat_map.size()) - ) - { - if ( dbg ){std::cerr << y_grid+j << " " << x_grid+i << std::endl;} - this->heat_map[ y_grid+j ][ x_grid+i ] += filter[i][j]; - this->heat_map[ x_grid+i ][ y_grid+j ] += -filter[i][j]; - } - } - } - - } -}//construct - - -#endif - -}//namespace Gudhi_stat -}//namespace Gudhi diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_heat_maps.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_heat_maps.h deleted file mode 100644 index 56890267..00000000 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_heat_maps.h +++ /dev/null @@ -1,1040 +0,0 @@ -/* 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 . - */ - -#ifndef Persistence_heat_maps_H -#define Persistence_heat_maps_H - -//standard include -#include -#include -#include -#include -#include -#include -#include - -//gudhi include -#include -#include - - - - -namespace Gudhi -{ -namespace Gudhi_stat -{ - - -/** - * This is a simple procedure to create n by n (or 2*pixel_radius times 2*pixel_radius cubical approximation of a Gaussian kernel. -**/ -std::vector< std::vector > create_Gaussian_filter( size_t pixel_radius , double sigma ) -{ - bool dbg = false; - //we are computing the kernel mask to 2 standard deviations away from the center. We discretize it in a grid of a size 2*pixel_radius times 2*pixel_radius. - - double r = 0; - double sigma_sqr = sigma * sigma; - - // sum is for normalization - double sum = 0; - - //initialization of a kernel: - std::vector< std::vector > kernel( 2*pixel_radius +1 ); - for ( size_t i = 0 ; i != kernel.size() ; ++i ) - { - std::vector v( 2*pixel_radius +1 , 0 ); - kernel[i] = v; - } - - if ( dbg ) - { - std::cerr << "Kernel initalize \n"; - std::cerr << "pixel_radius : " << pixel_radius << std::endl; - std::cerr << "kernel.size() : " << kernel.size() << std::endl; - getchar(); - } - - for (int x = -pixel_radius; x <= (int)pixel_radius; x++) - { - for(int y = -pixel_radius; y <= (int)pixel_radius; y++) - { - double real_x = 2*sigma*x/pixel_radius; - double real_y = 2*sigma*y/pixel_radius; - r = sqrt(real_x*real_x + real_y*real_y); - kernel[x + pixel_radius][y + pixel_radius] = (exp(-(r*r)/sigma_sqr))/(3.141592 * sigma_sqr); - sum += kernel[x + pixel_radius][y + pixel_radius]; - } - } - - // normalize the kernel - for( size_t i = 0; i != kernel.size() ; ++i) - { - for( size_t j = 0; j != kernel[i].size() ; ++j) - { - kernel[i][j] /= sum; - } - - } - - if ( dbg ) - { - std::cerr << "Here is the kernel : \n"; - for( size_t i = 0; i != kernel.size() ; ++i) - { - for( size_t j = 0; j != kernel[i].size() ; ++j) - { - std::cerr << kernel[i][j] << " "; - } - std::cerr << std::endl; - } - } - return kernel; -} - - -/* -* There are various options to scale the poits depending on their location. One can for instance: -* (1) do nothing (scale all of them with the weight 1), as in the function constant_function -* (2) Scale them by the distance to the diagonal. This is implemented in function -* (3) Scale them with the square of their distance to diagonal. This is implemented in function -* (4) Scale them with -*/ - - -/** - * This is one of a scaling functions used to weight poits depending on their persistence and/or location in the diagram. - * This particular functiona is a finction which always assign value 1 to a point in the diagram. -**/ -class constant_scaling_function -{ -public: - double operator()( const std::pair< double , double >& point_in_diagram ) - { - return 1; - } -}; - - -/** - * This is one of a scaling functions used to weight poits depending on their persistence and/or location in the diagram. - * The scaling given by this function to a point (b,d) is Euclidean distance of (b,d) from diagonal. -**/ -class distance_from_diagonal_scaling -{ -public: - double operator()( const std::pair< double , double >& point_in_diagram ) - { - //(point_in_diagram.first+point_in_diagram.second)/2.0 - return sqrt( pow((point_in_diagram.first-(point_in_diagram.first+point_in_diagram.second)/2.0),2) + pow((point_in_diagram.second-(point_in_diagram.first+point_in_diagram.second)/2.0),2) ); - } -}; - -/** - * This is one of a scaling functions used to weight poits depending on their persistence and/or location in the diagram. - * The scaling given by this function to a point (b,d) is a square of Euclidean distance of (b,d) from diagonal. -**/ -class squared_distance_from_diagonal_scaling -{ -public: - double operator()( const std::pair< double , double >& point_in_diagram ) - { - return pow((point_in_diagram.first-(point_in_diagram.first+point_in_diagram.second)/2.0),2) + pow((point_in_diagram.second-(point_in_diagram.first+point_in_diagram.second)/2.0),2); - } -}; - -/** - * This is one of a scaling functions used to weight poits depending on their persistence and/or location in the diagram. - * The scaling given by this function to a point (b,d) is an arctan of a persistence of a point (i.e. arctan( b-d ). -**/ -class arc_tan_of_persistence_of_point -{ -public: - double operator()( const std::pair< double , double >& point_in_diagram ) - { - return atan( point_in_diagram.second - point_in_diagram.first ); - } -}; - -/** - * This is one of a scaling functions used to weight poits depending on their persistence and/or location in the diagram. - * This scaling function do not only depend on a point (p,d) in the diagram, but it depends on the whole diagram. - * The longest persistence pair get a scaling 1. Any other pair get a scaling belong to [0,1], which is proportional - * to the persistence of that pair. -**/ -class weight_by_setting_maximal_interval_to_have_length_one -{ -public: - weight_by_setting_maximal_interval_to_have_length_one( double len ):letngth_of_maximal_interval(len){} - double operator()( const std::pair< double , double >& point_in_diagram ) - { - return (point_in_diagram.second-point_in_diagram.first)/this->letngth_of_maximal_interval; - } -private: - double letngth_of_maximal_interval; -}; - - -/** - * This class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product -**/ -template -class Persistence_heat_maps -{ -public: - /** - * The default constructor. A scaling function from the diagonal is set up to a constant function. The image is not erased below the diagonal. The gaussian have diameter 5. - **/ - Persistence_heat_maps() - { - Scalling_of_kernels f; - this->f = f; - this->erase_below_diagonal = false; - this->min_ = this->max_ = 0; - this->set_up_parameters_for_basic_classes(); - }; - - /** - * Construction that takes at the input the following parameters: - * (1) A vector of pairs of doubles (representing persistence intervals). All other parameters are optional. They are: - * (2) a Gausian filter generated by create_Gaussian_filter filter (the default value of this vaiable is a Gaussian filter of a radius 5), - * (3) a boolean value which determines if the area of image below diagonal should, or should not be erased (it will be erased by default). - * (4) a number of pixels in each direction (set to 1000 by default). - * (5) a min x and y value of points that are to be taken into account. By default it is set to std::numeric_limits::max(), in which case the program compute the values based on the data, - * (6) a max x and y value of points that are to be taken into account. By default it is set to std::numeric_limits::max(), in which case the program compute the values based on the data. - **/ - Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , std::vector< std::vector > filter = create_Gaussian_filter(5,1) , bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = std::numeric_limits::max() , double max_ = std::numeric_limits::max() ); - - /** - * Construction that takes at the input a name of a file with persistence intervals, a filter (radius 5 by default), a scaling function (constant by default), a boolean value which determines if the area of image below diagonal should, or should not be erased (should by default). The next parameter is the number of pixels in each direction (set to 1000 by default). and min and max values of images (both set to std::numeric_limits::max() by defaulet. If this is the case, the program will pick the right values based on the data). - **/ - /** - * Construction that takes at the input the following parameters: - * (1) A a name of a file with persistence intervals. The file shold be readable by the function read_persistence_intervals_in_one_dimension_from_file. All other parameters are optional. They are: - * (2) a Gausian filter generated by create_Gaussian_filter filter (the default value of this vaiable is a Gaussian filter of a radius 5), - * (3) a boolean value which determines if the area of image below diagonal should, or should not be erased (it will be erased by default). - * (4) a number of pixels in each direction (set to 1000 by default). - * (5) a min x and y value of points that are to be taken into account. By default it is set to std::numeric_limits::max(), in which case the program compute the values based on the data, - * (6) a max x and y value of points that are to be taken into account. By default it is set to std::numeric_limits::max(), in which case the program compute the values based on the data. - **/ - Persistence_heat_maps( const char* filename , std::vector< std::vector > filter = create_Gaussian_filter(5,1), bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = std::numeric_limits::max() , double max_ = std::numeric_limits::max() , unsigned dimension = std::numeric_limits::max() ); - - - /** - * Compute a mean value of a collection of heat maps and store it in the current object. Note that all the persistence maps send in a vector to this procedure need to have the same parameters. - * If this is not the case, the program will throw an exception. - **/ - void compute_mean( const std::vector& maps ); - - /** - * Compute a median value of a collection of heat maps and store it in the current object. Note that all the persistence maps send in a vector to this procedure need to have the same parameters. - * If this is not the case, the program will throw an exception. - **/ - void compute_median( const std::vector& maps ); - - /** - * Compute a percentage of active (i.e) values above the cutoff of a collection of heat maps. - **/ - void compute_percentage_of_active( const std::vector& maps , size_t cutoff = 1 ); - - //put to file subroutine - /** - * The function outputs the perssitence image to a text file. The format as follow: - * In the first line, the values min and max of the image are stored - * In the next lines, we have the persistence images in a form of a bitmap image. - **/ - void print_to_file( const char* filename )const; - - /** - * A function that load a heat map from file to the current object (and arase qhatever was stored in the current object before). - **/ - void load_from_file( const char* filename ); - - - /** - * The procedure checks if min_, max_ and this->heat_maps sizes are the same. - **/ - inline bool check_if_the_same( const Persistence_heat_maps& second )const - { - bool dbg = false; - if ( this->heat_map.size() != second.heat_map.size() ) - { - if ( dbg )std::cerr << "this->heat_map.size() : " << this->heat_map.size() << " \n second.heat_map.size() : " << second.heat_map.size() << std::endl; - return false; - } - if ( this->min_ != second.min_ ) - { - if ( dbg )std::cerr << "this->min_ : " << this->min_ << ", second.min_ : " << second.min_ << std::endl; - return false; - } - if ( this->max_ != second.max_ ) - { - if ( dbg )std::cerr << "this->max_ : " << this->max_ << ", second.max_ : " << second.max_ << std::endl; - return false; - } - //in the other case we may assume that the persistence images are defined on the same domain. - return true; - } - - - /** - * Return minimal range value of persistent image. - **/ - inline double get_min()const{return this->min_;} - - /** - * Return maximal range value of persistent image. - **/ - inline double get_max()const{return this->max_;} - - - /** - * Operator == to check if to persistence heat maps are the same. - **/ - bool operator == ( const Persistence_heat_maps& rhs )const - { - bool dbg = false; - if ( !this->check_if_the_same(rhs) ) - { - if ( dbg )std::cerr << "The domains are not the same \n"; - return false;//in this case, the domains are not the same, so the maps cannot be the same. - } - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) - { - for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) - { - if ( !almost_equal(this->heat_map[i][j] , rhs.heat_map[i][j]) ) - { - if ( dbg ) - { - std::cerr << "this->heat_map[" << i << "][" << j << "] = " << this->heat_map[i][j] << std::endl; - std::cerr << "rhs.heat_map[" << i << "][" << j << "] = " << rhs.heat_map[i][j] << std::endl; - } - return false; - } - } - } - return true; - } - - /** - * Operator != to check if to persistence heat maps are different. - **/ - bool operator != ( const Persistence_heat_maps& rhs )const - { - return !( (*this) == rhs ); - } - - - /** - * A function to generate a gnuplot script to vizualize the persistent image. - **/ - void plot( const char* filename )const; - - - template - friend Persistence_heat_maps operation_on_pair_of_heat_maps( const Persistence_heat_maps& first , const Persistence_heat_maps& second , Operation_type operation ) - { - //first check if the heat maps are compatible - if ( !first.check_if_the_same( second ) ) - { - std::cerr << "Sizes of the heat maps are not compatible. The program will now terminate \n"; - throw "Sizes of the heat maps are not compatible. The program will now terminate \n"; - } - Persistence_heat_maps result; - result.min_ = first.min_; - result.max_ = first.max_; - result.heat_map.reserve( first.heat_map.size() ); - for ( size_t i = 0 ; i != first.heat_map.size() ; ++i ) - { - std::vector< double > v; - v.reserve( first.heat_map[i].size() ); - for ( size_t j = 0 ; j != first.heat_map[i].size() ; ++j ) - { - v.push_back( operation( first.heat_map[i][j] , second.heat_map[i][j] ) ); - } - result.heat_map.push_back( v ); - } - return result; - }//operation_on_pair_of_heat_maps - - - /** - * Multiplication of Persistence_heat_maps by scalar (so that all values of the heat map gets multiplied by that scalar). - **/ - Persistence_heat_maps multiply_by_scalar( double scalar )const - { - Persistence_heat_maps result; - result.min_ = this->min_; - result.max_ = this->max_; - result.heat_map.reserve( this->heat_map.size() ); - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) - { - std::vector< double > v; - v.reserve( this->heat_map[i].size() ); - for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) - { - v.push_back( this->heat_map[i][j] * scalar ); - } - result.heat_map.push_back( v ); - } - return result; - } - - /** - * This function computes a sum of two objects of a type Persistence_heat_maps. - **/ - friend Persistence_heat_maps operator+( const Persistence_heat_maps& first , const Persistence_heat_maps& second ) - { - return operation_on_pair_of_heat_maps( first , second , std::plus() ); - } - /** - * This function computes a difference of two objects of a type Persistence_heat_maps. - **/ - friend Persistence_heat_maps operator-( const Persistence_heat_maps& first , const Persistence_heat_maps& second ) - { - return operation_on_pair_of_heat_maps( first , second , std::minus() ); - } - /** - * This function computes a product of an object of a type Persistence_heat_maps with real number. - **/ - friend Persistence_heat_maps operator*( double scalar , const Persistence_heat_maps& A ) - { - return A.multiply_by_scalar( scalar ); - } - /** - * This function computes a product of an object of a type Persistence_heat_maps with real number. - **/ - friend Persistence_heat_maps operator*( const Persistence_heat_maps& A , double scalar ) - { - return A.multiply_by_scalar( scalar ); - } - /** - * This function computes a product of an object of a type Persistence_heat_maps with real number. - **/ - Persistence_heat_maps operator*( double scalar ) - { - return this->multiply_by_scalar( scalar ); - } - /** - * += operator for Persistence_heat_maps. - **/ - Persistence_heat_maps operator += ( const Persistence_heat_maps& rhs ) - { - *this = *this + rhs; - return *this; - } - /** - * -= operator for Persistence_heat_maps. - **/ - Persistence_heat_maps operator -= ( const Persistence_heat_maps& rhs ) - { - *this = *this - rhs; - return *this; - } - /** - * *= operator for Persistence_heat_maps. - **/ - Persistence_heat_maps operator *= ( double x ) - { - *this = *this*x; - return *this; - } - /** - * /= operator for Persistence_heat_maps. - **/ - Persistence_heat_maps operator /= ( double x ) - { - if ( x == 0 )throw( "In operator /=, division by 0. Program terminated." ); - *this = *this * (1/x); - return *this; - } - - - //Implementations of functions for various concepts. - - /** - * This function produce a vector of doubles based on a persisence heat map. It is required in a concept Vectorized_topological_data - */ - std::vector vectorize( int number_of_function )const; - /** - * This function return the number of functions that allows vectorization of persistence heat map. It is required in a concept Vectorized_topological_data. - **/ - size_t number_of_vectorize_functions()const - { - return this->number_of_functions_for_vectorization; - } - - /** - * This function is required by the Real_valued_topological_data concept. It returns various projections od the persistence heat map to a real line. - **/ - double project_to_R( int number_of_function )const; - /** - * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. - **/ - size_t number_of_projections_to_R()const - { - return this->number_of_functions_for_projections_to_reals; - } - - /** - * A function to compute distance between persistence heat maps. - * The parameter of this function is a const reference to an object of a class Persistence_heat_maps. - * This function is required in Topological_data_with_distances concept. - * For max norm distance, set power to std::numeric_limits::max() - **/ - double distance( const Persistence_heat_maps& second_ , double power = 1)const; - - /** - * A function to compute averaged persistence heat map, based on vector of persistence heat maps. - * This function is required by Topological_data_with_averages concept. - **/ - void compute_average( const std::vector< Persistence_heat_maps* >& to_average ); - - /** - * A function to compute scalar product of persistence heat maps. - * The parameter of this functionis a const reference to an object of a class Persistence_heat_maps. - * This function is required in Topological_data_with_scalar_product concept. - **/ - double compute_scalar_product( const Persistence_heat_maps& second_ )const; - - //end of implementation of functions needed for concepts. - - - /** - * The x-range of the persistence heat map. - **/ - std::pair< double , double > get_x_range()const - { - return std::make_pair( this->min_ , this->max_ ); - } - - /** - * The y-range of the persistence heat map. - **/ - std::pair< double , double > get_y_range()const - { - return this->get_x_range(); - } - - - - -protected: - //private methods - std::vector< std::vector > check_and_initialize_maps( const std::vector& maps ); - size_t number_of_functions_for_vectorization; - size_t number_of_functions_for_projections_to_reals; - void construct( const std::vector< std::pair >& intervals_ , - std::vector< std::vector > filter = create_Gaussian_filter(5,1), - - bool erase_below_diagonal = false , size_t number_of_pixels = 1000 , double min_ = std::numeric_limits::max() , double max_ = std::numeric_limits::max() ); - - void set_up_parameters_for_basic_classes() - { - this->number_of_functions_for_vectorization = 1; - this->number_of_functions_for_projections_to_reals = 1; - } - - //data - //double (*scalling_function_with_respect_to_distance_from_diagonal)( const std::pair< double , double >& point_in_diagram ); - Scalling_of_kernels f; - bool erase_below_diagonal; - double min_; - double max_; - std::vector< std::vector< double > > heat_map; -}; - - -//if min_ == max_, then the program is requested to set up the values itself based on persistence intervals -template -void Persistence_heat_maps::construct( const std::vector< std::pair >& intervals_ , - std::vector< std::vector > filter, - bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) -{ - bool dbg = false; - if ( dbg )std::cerr << "Entering construct procedure \n"; - Scalling_of_kernels f; - this->f = f; - - if ( dbg )std::cerr << "min and max passed to construct() procedure: " << min_ << " " << max_ << std::endl; - - if ( min_ == max_ ) - { - if (dbg)std::cerr << "min and max parameters will be etermined based on intervals \n"; - //in this case, we want the program to set up the min_ and max_ values by itself. - min_ = std::numeric_limits::max(); - max_ = -std::numeric_limits::max(); - - - for ( size_t i = 0 ; i != intervals_.size() ; ++i ) - { - if ( intervals_[i].first < min_ )min_ = intervals_[i].first; - if ( intervals_[i].second > max_ )max_ = intervals_[i].second; - } - //now we have the structure filled in, and moreover we know min_ and max_ values of the interval, so we know the range. - - //add some more space: - min_ -= fabs(max_ - min_)/100; - max_ += fabs(max_ - min_)/100; - } - - if ( dbg ) - { - std::cerr << "min_ : " << min_ << std::endl; - std::cerr << "max_ : " << max_ << std::endl; - std::cerr << "number_of_pixels : " << number_of_pixels << std::endl; - getchar(); - } - - this->min_ = min_; - this->max_ = max_; - - //initialization of the structure heat_map - std::vector< std::vector > heat_map_; - for ( size_t i = 0 ; i != number_of_pixels ; ++i ) - { - std::vector v( number_of_pixels , 0 ); - heat_map_.push_back( v ); - } - this->heat_map = heat_map_; - - if (dbg)std::cerr << "Done creating of the heat map, now we will fill in the structure \n"; - - for ( size_t pt_nr = 0 ; pt_nr != intervals_.size() ; ++pt_nr ) - { - //compute the value of intervals_[pt_nr] in the grid: - int x_grid = (int)((intervals_[pt_nr].first - this->min_)/( this->max_-this->min_ )*number_of_pixels); - int y_grid = (int)((intervals_[pt_nr].second - this->min_)/( this->max_-this->min_ )*number_of_pixels); - - if ( dbg ) - { - std::cerr << "point : " << intervals_[pt_nr].first << " , " << intervals_[pt_nr].second << std::endl; - std::cerr << "x_grid : " << x_grid << std::endl; - std::cerr << "y_grid : " << y_grid << std::endl; - } - - //x_grid and y_grid gives a center of the kernel. We want to have its lower left cordner. To get this, we need to shift x_grid and y_grid by a grid diameter. - x_grid -= filter.size()/2; - y_grid -= filter.size()/2; - //note that the numbers x_grid and y_grid may be negative. - - if ( dbg ) - { - std::cerr << "After shift : \n";; - std::cerr << "x_grid : " << x_grid << std::endl; - std::cerr << "y_grid : " << y_grid << std::endl; - } - - double scaling_value = this->f(intervals_[pt_nr]); - - - for ( size_t i = 0 ; i != filter.size() ; ++i ) - { - for ( size_t j = 0 ; j != filter.size() ; ++j ) - { - //if the point (x_grid+i,y_grid+j) is the correct point in the grid. - if ( - ((x_grid+i)>=0) && (x_grid+iheat_map.size()) - && - ((y_grid+j)>=0) && (y_grid+jheat_map.size()) - ) - { - if ( dbg ){std::cerr << y_grid+j << " " << x_grid+i << std::endl;} - this->heat_map[ y_grid+j ][ x_grid+i ] += scaling_value * filter[i][j]; - if ( dbg ) - { - std::cerr << "Position : (" << x_grid+i << "," << y_grid+j << ") got increased by the value : " << filter[i][j] << std::endl; - } - } - } - } - - } - - //now it remains to cut everything below diagonal if the user wants us to. - if ( erase_below_diagonal ) - { - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) - { - for ( size_t j = i ; j != this->heat_map.size() ; ++j ) - { - this->heat_map[i][j] = 0; - } - } - } -}//construct - -template -Persistence_heat_maps::Persistence_heat_maps( const std::vector< std::pair< double,double > > & interval , - std::vector< std::vector > filter, - bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ ) -{ - this->construct( interval , filter , erase_below_diagonal , number_of_pixels , min_ , max_ ); - this->set_up_parameters_for_basic_classes(); -} - - -template -Persistence_heat_maps::Persistence_heat_maps( const char* filename , - std::vector< std::vector > filter, - bool erase_below_diagonal , size_t number_of_pixels , double min_ , double max_ , unsigned dimension ) -{ - std::vector< std::pair< double , double > > intervals_; - if ( dimension == std::numeric_limits::max() ) - { - intervals_ = read_persistence_intervals_in_one_dimension_from_file( filename ); - } - else - { - intervals_ = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); - } - //std::cerr << "intervals_.size() : " << intervals_.size() << std::endl; - //for ( size_t i = 0 ; i != intervals_.size() ; ++i ) - //{ - // std::cerr << intervals_[i].first << " " << intervals_[i].second << std::endl; - //} - this->construct( intervals_ , filter, erase_below_diagonal , number_of_pixels , min_ , max_ ); - this->set_up_parameters_for_basic_classes(); -} - - -template -std::vector< std::vector > Persistence_heat_maps::check_and_initialize_maps( const std::vector& maps ) -{ - //checking if all the heat maps are of the same size: - for ( size_t i = 0 ; i != maps.size() ; ++i ) - { - if ( maps[i]->heat_map.size() != maps[0]->heat_map.size() ) - { - std::cerr << "Sizes of Persistence_heat_maps are not compatible. The program will terminate now \n"; - throw "Sizes of Persistence_heat_maps are not compatible. The program will terminate now \n"; - } - if ( maps[i]->heat_map[0].size() != maps[0]->heat_map[0].size() ) - { - std::cerr << "Sizes of Persistence_heat_maps are not compatible. The program will terminate now \n"; - throw "Sizes of Persistence_heat_maps are not compatible. The program will terminate now \n"; - } - } - std::vector< std::vector > heat_maps( maps[0]->heat_map.size() ); - for ( size_t i = 0 ; i != maps[0]->heat_map.size() ; ++i ) - { - std::vector v( maps[0]->heat_map[0].size() , 0 ); - heat_maps[i] = v; - } - return heat_maps; -} - -template -void Persistence_heat_maps::compute_median( const std::vector& maps ) -{ - std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); - - std::vector to_compute_median( maps.size() ); - for ( size_t i = 0 ; i != heat_maps.size() ; ++i ) - { - for ( size_t j = 0 ; j != heat_maps[i].size() ; ++j ) - { - for ( size_t map_no = 0 ; map_no != maps.size() ; ++map_no ) - { - to_compute_median[map_no] = maps[map_no]->heat_map[i][j]; - } - std::nth_element(to_compute_median.begin(), to_compute_median.begin() + to_compute_median.size()/2, to_compute_median.end()); - heat_maps[i][j] = to_compute_median[ to_compute_median.size()/2 ]; - } - } - this->heat_map = heat_maps; - this->min_= maps[0]->min_; - this->max_= maps[0]->max_; -} - - -template -void Persistence_heat_maps::compute_mean( const std::vector& maps ) -{ - std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); - for ( size_t i = 0 ; i != heat_maps.size() ; ++i ) - { - for ( size_t j = 0 ; j != heat_maps[i].size() ; ++j ) - { - double mean = 0; - for ( size_t map_no = 0 ; map_no != maps.size() ; ++map_no ) - { - mean += maps[map_no]->heat_map[i][j]; - } - heat_maps[i][j] = mean/(double)maps.size(); - } - } - this->heat_map = heat_maps; - this->min_ = maps[0]->min_; - this->max_ = maps[0]->max_; -} - - - -template -void Persistence_heat_maps::compute_percentage_of_active( const std::vector& maps , size_t cutoff ) -{ - std::vector< std::vector > heat_maps = this->check_and_initialize_maps( maps ); - - for ( size_t i = 0 ; i != heat_maps.size() ; ++i ) - { - for ( size_t j = 0 ; j != heat_maps[i].size() ; ++j ) - { - size_t number_of_active_levels = 0; - for ( size_t map_no = 0 ; map_no != maps.size() ; ++map_no ) - { - if ( maps[map_no]->heat_map[i][j] ) number_of_active_levels++; - } - if ( number_of_active_levels > cutoff ) - { - heat_maps[i][j] = number_of_active_levels; - } - else - { - heat_maps[i][j] = 0; - } - } - } - this->heat_map = heat_maps; - this->min_ = maps[0]->min_; - this->max_ = maps[0]->max_; -} - - -template -void Persistence_heat_maps::plot( const char* filename )const -{ - std::ofstream out; - std::stringstream ss; - ss << filename << "_GnuplotScript"; - - out.open( ss.str().c_str() ); - out << "plot '-' matrix with image" << std::endl; - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) - { - for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) - { - out << this->heat_map[i][j] << " "; - } - out << std::endl; - } - out.close(); - std::cout << "Gnuplot script have been created. Open gnuplot and type load \'" << ss.str().c_str() << "\' to see the picture." << std::endl; -} - - -template -void Persistence_heat_maps::print_to_file( const char* filename )const -{ - - std::ofstream out; - out.open( filename ); - - //First we store this->min_ and this->max_ values: - out << this->min_ << " " << this->max_ << std::endl; - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) - { - for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) - { - out << this->heat_map[i][j] << " "; - } - out << std::endl; - } - out.close(); -} - -template -void Persistence_heat_maps::load_from_file( const char* filename ) -{ - bool dbg = false; - - std::ifstream in; - in.open( filename ); - - //checking if the file exist / if it was open. - if ( !in.good() ) - { - std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; - throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; - } - - //now we read the file one by one. - - - - in >> this->min_ >> this->max_; - if ( dbg ) - { - std::cerr << "Reading the following values of min and max : " << this->min_ << " , " << this->max_ << std::endl; - } - - std::string temp; - std::getline(in, temp); - - while (!in.eof()) - { - std::getline(in, temp); - std::stringstream lineSS; - lineSS << temp; - - std::vector line_of_heat_map; - while ( lineSS.good() ) - { - double point; - - lineSS >> point; - line_of_heat_map.push_back( point ); - if ( dbg ) - { - std::cout << point << " "; - } - } - if ( dbg ) - { - std::cout << std::endl; - getchar(); - } - - if ( in.good() )this->heat_map.push_back( line_of_heat_map ); - } - in.close(); - if ( dbg )std::cout << "Done \n"; -} - - -//Concretizations of virtual methods: -template -std::vector Persistence_heat_maps::vectorize( int number_of_function )const -{ - //convert this->heat_map into one large vector: - size_t size_of_result = 0; - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) - { - size_of_result += this->heat_map[i].size(); - } - - std::vector< double > result; - result.reserve( size_of_result ); - - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) - { - for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) - { - result.push_back( this->heat_map[i][j] ); - } - } - - return result; -} - -template -double Persistence_heat_maps::distance( const Persistence_heat_maps& second , double power )const -{ - //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: - if ( !this->check_if_the_same(second) ) - { - std::cerr << "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; - throw "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; - } - - //if we are here, we know that the two persistence iomages are defined on the same domain, so we can start computing their distances: - - double distance = 0; - if ( power < std::numeric_limits::max() ) - { - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) - { - for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) - { - distance += pow( fabs(this->heat_map[i][j] - second.heat_map[i][j]) , power ); - } - } - } - else - { - //in this case, we compute max norm distance - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) - { - for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) - { - if ( distance < fabs(this->heat_map[i][j] - second.heat_map[i][j]) ) - { - distance = fabs(this->heat_map[i][j] - second.heat_map[i][j]); - } - } - } - } - return distance; -} - -template -double Persistence_heat_maps::project_to_R( int number_of_function )const -{ - double result = 0; - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) - { - for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) - { - result += this->heat_map[i][j]; - } - } - return result; -} - -template -void Persistence_heat_maps::compute_average( const std::vector< Persistence_heat_maps* >& to_average ) -{ - this->compute_mean( to_average ); -} - -template -double Persistence_heat_maps::compute_scalar_product( const Persistence_heat_maps& second )const -{ - //first we need to check if (*this) and second are defined on the same domain and have the same dimensions: - if ( !this->check_if_the_same(second) ) - { - std::cerr << "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; - throw "The persistence images are of noncompatible sizes. We cannot therefore compute distance between them. The program will now terminate"; - } - - //if we are here, we know that the two persistence iomages are defined on the same domain, so we can start computing their scalar product: - double scalar_prod = 0; - for ( size_t i = 0 ; i != this->heat_map.size() ; ++i ) - { - for ( size_t j = 0 ; j != this->heat_map[i].size() ; ++j ) - { - scalar_prod += this->heat_map[i][j]*second.heat_map[i][j]; - } - } - return scalar_prod; -} - - - - -}//namespace Gudhi_stat -}//namespace Gudhi - - -#endif diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals.h deleted file mode 100644 index 64d8c502..00000000 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals.h +++ /dev/null @@ -1,697 +0,0 @@ -/* This file is part of the Gudhi hiLibrary. 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 . - */ - -#ifndef Persistence_intervals_H_ -#define Persistence_intervals_H_ - -//gudhi include -#include - -//standard include -#include -#include -#include -#include -#include -#include -#include - -namespace Gudhi -{ -namespace Gudhi_stat -{ - -/** - * This class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data -**/ -class Persistence_intervals -{ -public: - /** - * This is a constructor of a class Persistence_intervals from a text file. Each line of the input file is supposed to contain two numbers of a type doube (or convertable to double) - * representing the birth and the death of the persistence interval. If the pairs are not sorted so that birth <= death, then the constructor will sort then that way. - * * The second parameter of a constructor is a dimension of intervals to be read from a file. If your file contains only birt-death pairs, use the default value. - **/ - Persistence_intervals( const char* filename , unsigned dimension = std::numeric_limits::max() ); - - /** - * This is a constructor of a class Persistence_intervals from a vector of pairs. Each pair is assumed to represent a persistence interval. We assume that the first elemnets of pairs - * are smaller or equal the second elements of pairs. - **/ - Persistence_intervals( const std::vector< std::pair< double,double > >& intervals ); - - /** - * This procedure returns x-range of a given persistence diagram. - **/ - std::pair< double , double > get_x_range()const - { - double min_ = std::numeric_limits::max(); - double max_ = -std::numeric_limits::max(); - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - if ( this->intervals[i].first < min_ )min_ = this->intervals[i].first; - if ( this->intervals[i].second > max_ )max_ = this->intervals[i].second; - } - return std::make_pair( min_ , max_ ); - } - - /** - * This procedure returns y-range of a given persistence diagram. - **/ - std::pair< double , double > get_y_range()const - { - double min_ = std::numeric_limits::max(); - double max_ = -std::numeric_limits::max(); - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - if ( this->intervals[i].second < min_ )min_ = this->intervals[i].second; - if ( this->intervals[i].second > max_ )max_ = this->intervals[i].second; - } - return std::make_pair( min_ , max_ ); - } - - /** - * Procedure that compute the vector of lengths of the dominant (i.e. the longest) persistence intervals. The list is truncated at the parameter of the call where_to_cut (set by default to 100). - **/ - std::vector length_of_dominant_intervals( size_t where_to_cut = 100 )const; - - - /** - * Procedure that compute the vector of the dominant (i.e. the longest) persistence intervals. The parameter of the procedure (set by default to 100) is the number of dominant intervals returned by the procedure. - **/ - std::vector< std::pair > dominant_intervals( size_t where_to_cut = 100 )const; - - /** - * Procedure to compute a histogram of interva's length. A histogram is a block plot. The number of blocks is determined by the first parameter of the function (set by default to 10). - * For the sake of argument let us assume that the length of the longest interval is 1 and the number of bins is 10. In this case the i-th block correspond to a range between i-1/10 and i10. - * The vale of a block supported at the interval is the number of persistence intervals of a length between x_0 and x_1. - **/ - std::vector< size_t > histogram_of_lengths( size_t number_of_bins = 10 )const; - - /** - * Based on a histogram of intervals lengts computed by the function histogram_of_lengths H the procedure below computes the cumulative histogram. The i-th position of the resulting histogram - * is the sume of values of H for the positions from 0 to i. - **/ - std::vector< size_t > cumulative_histogram_of_lengths( size_t number_of_bins = 10 )const; - - /** - * In this procedure we assume that each barcode is a characteristic function of a hight equal to its length. The persistence diagram is a sum of such a functions. The procedure below construct a function being a - * sum of the characteristic functions of persistence intervals. The first two parameters are the range in which the function is to be computed and the last parameter is the number of bins in - * the discretization of the interval [_min,_max]. - **/ - std::vector< double > characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins = 10 )const; - - /** - * Cumulative version of the function characteristic_function_of_diagram - **/ - std::vector< double > cumulative_characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins = 10 )const; - - /** - * Compute the funtion of persistence Betti numbers. The returned value is a vector of pair. First element of each pair is a place where persistence Betti numbers change. - * Second element of each pair is the value of Persistence Betti numbers at that point. - **/ - std::vector< std::pair< double , size_t > > compute_persistent_betti_numbers()const; - - /** - *This is a non optimal procedure that compute vector of distances from each point of diagram to its k-th nearest neighbor (k is a parameted of the program). The resulting vector is by default truncated to 10 - *elements (this value can be changed by using the second parameter of the program). The points are returned in order from the ones which are farthest away from their k-th nearest neighbors. - **/ - std::vector< double > k_n_n( size_t k , size_t where_to_cut = 10 )const; - - /** - * Operator that send the diagram to a stream. - **/ - friend std::ostream& operator << ( std::ostream& out , const Persistence_intervals& intervals ) - { - for ( size_t i = 0 ; i != intervals.intervals.size() ; ++i ) - { - out << intervals.intervals[i].first << " " << intervals.intervals[i].second << std::endl; - } - return out; - } - - /** - * Generating gnuplot script to plot the interval. - **/ - void plot( const char* filename , double min_x = std::numeric_limits::max() , double max_x = std::numeric_limits::max() , double min_y = std::numeric_limits::max() , double max_y = std::numeric_limits::max() ) const - { - //this program create a gnuplot script file that allows to plot persistence diagram. - std::ofstream out; - - std::ostringstream nameSS; - nameSS << filename << "_GnuplotScript"; - std::string nameStr = nameSS.str(); - out.open( nameStr ); - - std::pair min_max_values = this->get_x_range(); - if ( min_x == max_x ) - { - out << "set xrange [" << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " : " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " ]" << std::endl; - out << "set yrange [" << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " : " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " ]" << std::endl; - } - else - { - out << "set xrange [" << min_x << " : " << max_x << " ]" << std::endl; - out << "set yrange [" << min_y << " : " << max_y << " ]" << std::endl; - } - out << "plot '-' using 1:2 notitle \"" << filename << "\", \\" << std::endl; - out << " '-' using 1:2 notitle with lp" << std::endl; - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - out << this->intervals[i].first << " " << this->intervals[i].second << std::endl; - } - out << "EOF" << std::endl; - out << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << " " << min_max_values.first - 0.1*(min_max_values.second-min_max_values.first) << std::endl; - out << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << " " << min_max_values.second + 0.1*(min_max_values.second-min_max_values.first) << std::endl; - - out.close(); - - std::cout << "Gnuplot script to visualize persistence diagram written to the file: " << nameStr << ". Type load '" << nameStr << "' in gnuplot to visualize." << std::endl; - } - - - - - /** - * Retun numbr of points in the diagram. - **/ - size_t size()const{return this->intervals.size();} - - /** - * Return the persistence interval at the given position. Note that intervals are not sorted with respect to their lengths. - **/ - inline std::pair< double,double > operator [](size_t i)const - { - if ( i >= this->intervals.size() )throw("Index out of range! Operator [], one_d_gaussians class\n"); - return this->intervals[i]; - } - - - - - - - - - - - - - - - - //Implementations of functions for various concepts. - /** - * This is a simple function projectig the persistence intervals to a real number. The function we use here is a sum of squared lendgths of intervals. It can be naturally interpreted as - * sum of step function, where the step hight it equal to the length of the interval. - **/ - double project_to_R( int number_of_function )const; - /** - * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. - **/ - size_t number_of_projections_to_R()const - { - return this->number_of_functions_for_projections_to_reals; - } - - /** - * Return a familly of vectors obtained from the persistence diagram. The i-th vector consist of the lenfth of i dominant persistence intervals. - **/ - std::vector vectorize( int number_of_function )const - { - return this->length_of_dominant_intervals( number_of_function ); - } - /** - * This function return the number of functions that allows vectorization of a persisence diagram. It is required in a concept Vectorized_topological_data. - **/ - size_t number_of_vectorize_functions()const - { - return this->number_of_functions_for_vectorization; - } - - //end of implementation of functions needed for concepts. - //end of implementation of functions needed for concepts. - - - - - - - - - - - - - - //For visualization use output from vectorize and build histograms. - std::vector< std::pair< double,double > > output_for_visualization() - { - return this->intervals; - } - -protected: - - void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() - { - //warning, this function can be only called after filling in the intervals vector. - this->number_of_functions_for_vectorization = this->intervals.size(); - this->number_of_functions_for_projections_to_reals = 1; - } - - std::vector< std::pair< double,double > > intervals; - size_t number_of_functions_for_vectorization; - size_t number_of_functions_for_projections_to_reals; -}; - - -Persistence_intervals::Persistence_intervals( const char* filename , unsigned dimension ) -{ - //bool dbg = false; - //ifstream in; - //in.open( filename ); - - //if ( !in.good() ) - //{ - // throw("File with the persistence diagram do not exist, the program will now terminate.\n"); - //} - - //while ( true ) - //{ - // double first; - // double second; - // in >> first >> second; - - // if ( first > second ) - // { - // double buf = first; - // first = second; - // second = buf; - // } - - // if ( in.eof() )break; - // this->intervals.push_back( std::make_pair( first,second ) ); - // if ( dbg ) - // { - // std::cerr << "Adding interval [ " << first << " , " << second << " ]\n"; - // getchar(); - // } - //} - //in.close(); - if ( dimension == std::numeric_limits::max() ) - { - this->intervals = read_persistence_intervals_in_one_dimension_from_file( filename ); - } - else - { - this->intervals = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); - } - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); -}//Persistence_intervals - - -Persistence_intervals::Persistence_intervals( const std::vector< std::pair< double , double > >& intervals_ ):intervals(intervals_) -{ - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); -} - - -std::vector< double > Persistence_intervals::length_of_dominant_intervals( size_t where_to_cut )const -{ - std::vector< double > result( this->intervals.size() ); - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - result[i] = this->intervals[i].second - this->intervals[i].first; - } - std::sort( result.begin() , result.end() , std::greater() ); - - - result.resize( std::min(where_to_cut,result.size()) ); - return result; -}//length_of_dominant_intervals - - - -bool compare( const std::pair< size_t , double >& first , const std::pair< size_t , double >& second ) -{ - return first.second > second.second; -} - - -std::vector< std::pair > Persistence_intervals::dominant_intervals( size_t where_to_cut )const -{ - bool dbg = false; - std::vector< std::pair< size_t , double > > position_length_vector( this->intervals.size() ); - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - position_length_vector[i] = std::make_pair( i , this->intervals[i].second - this->intervals[i].first ); - } - - std::sort( position_length_vector.begin() , position_length_vector.end() , compare ); - - std::vector< std::pair > result; - result.reserve( std::min( where_to_cut , position_length_vector.size() ) ); - - for ( size_t i = 0 ; i != std::min( where_to_cut , position_length_vector.size() ) ; ++i ) - { - result.push_back( this->intervals[ position_length_vector[i].first ] ); - if ( dbg )std::cerr << "Position : " << position_length_vector[i].first << " length : " << position_length_vector[i].second << std::endl; - } - - return result; -}//dominant_intervals - - -std::vector< size_t > Persistence_intervals::histogram_of_lengths( size_t number_of_bins )const -{ - bool dbg = false; - - if ( dbg )std::cerr << "this->intervals.size() : " << this->intervals.size() << std::endl; - //first find the length of the longest interval: - double lengthOfLongest = 0; - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - if ( (this->intervals[i].second - this->intervals[i].first) > lengthOfLongest ) - { - lengthOfLongest = this->intervals[i].second - this->intervals[i].first; - } - } - - if ( dbg ){std::cerr << "lengthOfLongest : " << lengthOfLongest << std::endl;} - - //this is a container we will use to store the resulting histogram - std::vector< size_t > result( number_of_bins + 1 , 0 ); - - //for every persistence interval in our collection. - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - //compute its length relative to the length of the dominant interval: - double relative_length_of_this_interval = (this->intervals[i].second - this->intervals[i].first)/lengthOfLongest; - - //given the relative length (between 0 and 1) compute to which bin should it contribute. - size_t position = (size_t)(relative_length_of_this_interval*number_of_bins); - - - ++result[position]; - - if ( dbg ) - { - std::cerr << "i : " << i << std::endl; - std::cerr << "Interval : [" << this->intervals[i].first << " , " << this->intervals[i].second << " ] \n"; - std::cerr << "relative_length_of_this_interval : " << relative_length_of_this_interval << std::endl; - std::cerr << "position : " << position << std::endl; - getchar(); - } - } - - - if ( dbg ){for ( size_t i = 0 ; i != result.size() ; ++i )std::cerr << result[i] << std::endl;} - return result; -} - - -std::vector< size_t > Persistence_intervals::cumulative_histogram_of_lengths( size_t number_of_bins )const -{ - std::vector< size_t > histogram = this->histogram_of_lengths( number_of_bins ); - std::vector< size_t > result( histogram.size() ); - - size_t sum = 0; - for ( size_t i = 0 ; i != histogram.size() ; ++i ) - { - sum += histogram[i]; - result[i] = sum; - } - return result; -} - - -std::vector< double > Persistence_intervals::characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins )const -{ - bool dbg = false; - - std::vector< double > result( number_of_bins ); - std::fill( result.begin() , result.end() , 0 ); - - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - if ( dbg ) - { - std::cerr << "Interval : " << this->intervals[i].first << " , " << this->intervals[i].second << std::endl; - } - - size_t beginIt = 0; - if ( this->intervals[i].first < x_min )beginIt = 0; - if ( this->intervals[i].first >= x_max )beginIt = result.size(); - if ( ( this->intervals[i].first > x_min ) && ( this->intervals[i].first < x_max ) ) - { - beginIt = number_of_bins*(this->intervals[i].first-x_min)/(x_max - x_min); - } - - size_t endIt = 0; - if ( this->intervals[i].second < x_min )endIt = 0; - if ( this->intervals[i].second >= x_max )endIt = result.size(); - if ( ( this->intervals[i].second > x_min ) && ( this->intervals[i].second < x_max ) ) - { - endIt = number_of_bins*( this->intervals[i].second - x_min )/(x_max - x_min); - } - - if ( beginIt > endIt ){beginIt = endIt;} - - if ( dbg ) - { - std::cerr << "beginIt : " << beginIt << std::endl; - std::cerr << "endIt : " << endIt << std::endl; - } - - - for ( size_t pos = beginIt ; pos != endIt ; ++pos ) - { - result[pos] += ( (x_max - x_min)/(double)number_of_bins ) * ( this->intervals[i].second - this->intervals[i].first ); - } - //cerr << "x_max : " << x_max << " x_min : " << x_min << " , number_of_bins : " << number_of_bins << " this->intervals[i].second : " << this->intervals[i].second << " this->intervals[i].first : " << this->intervals[i].first << endl; - if ( dbg ) - { - std::cerr << "Result at this stage \n"; - for ( size_t aa = 0 ; aa != result.size() ; ++aa ) - { - std::cerr << result[aa] << " "; - } - std::cerr << std::endl; - //getchar(); - } - } - return result; -}//characteristic_function_of_diagram - - - -std::vector< double > Persistence_intervals::cumulative_characteristic_function_of_diagram( double x_min , double x_max , size_t number_of_bins )const -{ - std::vector< double > intsOfBars = this->characteristic_function_of_diagram( x_min , x_max , number_of_bins ); - std::vector< double > result( intsOfBars.size() ); - double sum = 0; - for ( size_t i = 0 ; i != intsOfBars.size() ; ++i ) - { - sum += intsOfBars[i]; - result[i] = sum; - } - return result; -}//cumulative_characteristic_function_of_diagram - - -template -bool compare_first_element_of_pair( const std::pair< T , bool >& f, const std::pair< T , bool >& s ) -{ - return (f.first < s.first); -} - - -std::vector< std::pair< double , size_t > > Persistence_intervals::compute_persistent_betti_numbers()const -{ - std::vector< std::pair< double , bool > > places_where_pbs_change( 2*this->intervals.size() ); - - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - places_where_pbs_change[2*i] = std::make_pair( this->intervals[i].first , true ); - places_where_pbs_change[2*i+1] = std::make_pair( this->intervals[i].second , false ); - } - - std::sort( places_where_pbs_change.begin() , places_where_pbs_change.end() , compare_first_element_of_pair ); - size_t pbn = 0; - std::vector< std::pair< double , size_t > > pbns( places_where_pbs_change.size() ); - for ( size_t i = 0 ; i != places_where_pbs_change.size() ; ++i ) - { - if ( places_where_pbs_change[i].second == true ) - { - ++pbn; - } - else - { - --pbn; - } - pbns[i] = std::make_pair( places_where_pbs_change[i].first , pbn ); - } - return pbns; -} - - - - - - -inline double compute_euclidean_distance( const std::pair< double,double > & f , const std::pair< double,double > & s ) -{ - return sqrt( (f.first-s.first)*(f.first-s.first) + (f.second-s.second)*(f.second-s.second) ); -} - - -std::vector< double > Persistence_intervals::k_n_n( size_t k , size_t where_to_cut )const -{ - bool dbg = false; - if ( dbg ) - { - std::cerr << "Here are the intervals : \n"; - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - std::cerr << "[ " << this->intervals[i].first << " , " << this->intervals[i].second << "] \n"; - } - getchar(); - } - - std::vector< double > result; - //compute all to all distance between point in the diagram. Also, consider points in the diagonal with the infinite multiplicity. - std::vector< std::vector< double > > distances( this->intervals.size() ); - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - std::vector aa(this->intervals.size()); - std::fill( aa.begin() , aa.end() , 0 ); - distances[i] = aa; - } - std::vector< double > distances_from_diagonal( this->intervals.size() ); - std::fill( distances_from_diagonal.begin() , distances_from_diagonal.end() , 0 ); - - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - std::vector< double > distancesFromI; - for ( size_t j = i+1 ; j != this->intervals.size() ; ++j ) - { - distancesFromI.push_back( compute_euclidean_distance( this->intervals[i] , this->intervals[j] ) ); - } - //distances.push_back( distancesFromI ); - //also add a distance from this guy to daigonal: - double distanceToDiagonal = compute_euclidean_distance( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first + this->intervals[i].second) , 0.5*(this->intervals[i].first + this->intervals[i].second) ) ); - distances_from_diagonal[i] = distanceToDiagonal; - - if ( dbg ) - { - std::cerr << "Here are the distances form the point : [" << this->intervals[i].first << " , " << this->intervals[i].second << "] in the diagram \n"; - for ( size_t aa = 0 ; aa != distancesFromI.size() ; ++aa ) - { - std::cerr << "To : " << i+aa << " : " << distancesFromI[aa] << " "; - } - std::cerr << std::endl; - getchar(); - } - - //filling in the distances matrix: - for ( size_t j = i+1 ; j != this->intervals.size() ; ++j ) - { - distances[i][j] = distancesFromI[j-i-1]; - distances[j][i] = distancesFromI[j-i-1]; - } - } - if ( dbg ) - { - std::cerr << "Here is the distance matrix : \n"; - for ( size_t i = 0 ; i != distances.size() ; ++i ) - { - for ( size_t j = 0 ; j != distances.size() ; ++j ) - { - std::cerr << distances[i][j] << " "; - } - std::cerr << std::endl; - } - std::cerr << std::endl << std::endl << "And here are the distances to the diagonal : " << std::endl; - for ( size_t i = 0 ; i != distances_from_diagonal. size() ; ++i ) - { - std::cerr << distances_from_diagonal[i] << " "; - } - std::cerr << std::endl << std::endl; - getchar(); - } - - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - std::vector< double > distancesFromI = distances[i]; - distancesFromI.push_back( distances_from_diagonal[i] ); - - //sort it: - std::sort( distancesFromI.begin() , distancesFromI.end() , std::greater() ); - - if ( k > distancesFromI.size() ) - { - if ( dbg ) - { - std::cerr << "There are not enough neighbors in your set. We set the result to plus infty \n"; - } - result.push_back( std::numeric_limits::max() ); - } - else - { - if ( distances_from_diagonal[i] > distancesFromI[k] ) - { - if ( dbg ) - { - std::cerr << "The k-th n.n. is on a diagonal. Therefore we set up a distance to diagonal \n"; - } - result.push_back( distances_from_diagonal[i] ); - } - else - { - result.push_back( distancesFromI[k] ); - } - } - } - std::sort( result.begin() , result.end() , std::greater() ); - result.resize( std::min( result.size() , where_to_cut ) ); - - return result; -} - - -double Persistence_intervals::project_to_R( int number_of_function )const -{ - double result = 0; - - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - result += ( this->intervals[i].second - this->intervals[i].first )*( this->intervals[i].second - this->intervals[i].first ); - } - - return result; -} - - -}//namespace gudhi stat -}//namespace gudhi - -#endif diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals_with_distances.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals_with_distances.h deleted file mode 100644 index 3c1d8a45..00000000 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_intervals_with_distances.h +++ /dev/null @@ -1,65 +0,0 @@ -/* This file is part of the Gudhi hiLibrary. 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 . - */ - -#ifndef Persistence_intervals_WITH_DISTANCES_H_ -#define Persistence_intervals_WITH_DISTANCES_H_ - - -#include -#include - -namespace Gudhi -{ -namespace Gudhi_stat -{ - -class Persistence_intervals_with_distances : public Persistence_intervals -{ -public: - using Persistence_intervals::Persistence_intervals; - - /** - *Computations of distance from the current persistnce diagram to the persistence diagram given as a parameter of this function. - *The last but one parameter, power, is here in case we would like to compute p=th Wasserstein distance. At the moment, this method only implement Bottleneck distance, - * which is infinity Wasserstein distance. Therefore any power which is not the default std::numeric_limits< double >::max() will be ignored and an - * exception will be thrown. - * The last parameter, tolerance, it is an additiv error of the approimation, set by default to zero. - **/ - double distance( const Persistence_intervals_with_distances& second , double power = std::numeric_limits< double >::max() , double tolerance = 0) const - { - if ( power >= std::numeric_limits< double >::max() ) - { - return Gudhi::persistence_diagram::bottleneck_distance(this->intervals, second.intervals, tolerance); - } - else - { - std::cerr << "At the moment Gudhi do not support Wasserstein distances. We only support Bottleneck distance." << std::endl; - throw "At the moment Gudhi do not support Wasserstein distances. We only support Bottleneck distance."; - } - } -}; - - -}//namespace gudhi stat -}//namespace gudhi - -#endif diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape.h deleted file mode 100644 index e14771b3..00000000 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape.h +++ /dev/null @@ -1,1503 +0,0 @@ -/* 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 . - */ - - -#ifndef Persistence_landscapes_H -#define Persistence_landscapes_H - -//standard include -#include -#include -#include -#include -#include -#include -#include - - -//gudhi include -#include -#include - - - - -namespace Gudhi -{ -namespace Gudhi_stat -{ - - - -//predeclaration -class Persistence_landscape; -template < typename operation > -Persistence_landscape operation_on_pair_of_landscapes( const Persistence_landscape& land1 , const Persistence_landscape& land2 ); - - - -/** - * A clas implementing persistence landascpes data structures. For theroretical desciritpion, please consult a paper ''Statistical topological data analysis using persistence landscapes'' by Peter Bubenik. - * For details of algorithms, please consult ''A persistence landscapes toolbox for topological statistics'' by Peter Bubenik and Pawel Dlotko. - * Persistence landscapes allow vertorization, computations of distances, computations of projections to Real, computations of averages and scalar products. Therefore they implement suitable interfaces. - * It implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product - * Note that at the moment, due to roundoff errors during the construction of persistence landscapes, elements which are different by 0.000005 are considered the same. If the scale in your persistence diagrams - * is comparable to this value, please rescale them before use this code. -**/ -class Persistence_landscape -{ -public: - /** - * Default constructor. - **/ - Persistence_landscape() - { - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); - } - - /** - * Constructor that takes as an input a vector of birth-death pairs. - **/ - Persistence_landscape( const std::vector< std::pair< double , double > >& p ); - - /** - * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed - * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. - **/ - Persistence_landscape(const char* filename , size_t dimension = std::numeric_limits::max() ); - - - - /** - * This procedure loads a landscape from file. It erase all the data that was previously stored in this landscape. - **/ - void load_landscape_from_file( const char* filename ); - - - /** - * The procedure stores a landscape to a file. The file can be later used by a procedure load_landscape_from_file. - **/ - void print_to_file( const char* filename )const; - - - - /** - * This function compute integral of the landscape (defined formally as sum of integrals on R of all landscape functions) - **/ - double compute_integral_of_landscape()const; - - - /** - * This function compute integral of the 'level'-level of a landscape. - **/ - double compute_integral_of_a_level_of_a_landscape( size_t level )const; - - - /** - * This function compute integral of the landscape p-th power of a landscape (defined formally as sum of integrals on R of p-th powers of all landscape functions) - **/ - double compute_integral_of_landscape( double p )const;//this function compute integral of p-th power of landscape. - - - /** - * A function that computes the value of a landscape at a given point. The parameters of the function are: unsigned level and double x. - * The procedure will compute the value of the level-landscape at the point x. - **/ - double compute_value_at_a_given_point( unsigned level , double x )const; - - /** - * Writing landscape into a stream. A i-th level landscape starts with a string "lambda_i". Then the discontinuity points of the landscapes follows. - * Shall those points be joined with lines, we will obtain the i-th landscape function. - **/ - friend std::ostream& operator<<(std::ostream& out, Persistence_landscape& land ); - - template < typename operation > - friend Persistence_landscape operation_on_pair_of_landscapes( const Persistence_landscape& land1 , const Persistence_landscape& land2 ); - - - - - /** - *\private A function that compute sum of two landscapes. - **/ - friend Persistence_landscape add_two_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 ) - { - return operation_on_pair_of_landscapes< std::plus >(land1,land2); - } - - /** - *\private A function that compute difference of two landscapes. - **/ - friend Persistence_landscape subtract_two_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 ) - { - return operation_on_pair_of_landscapes< std::minus >(land1,land2); - } - - /** - * An operator +, that compute sum of two landscapes. - **/ - friend Persistence_landscape operator+( const Persistence_landscape& first , const Persistence_landscape& second ) - { - return add_two_landscapes( first,second ); - } - - /** - * An operator -, that compute difference of two landscapes. - **/ - friend Persistence_landscape operator-( const Persistence_landscape& first , const Persistence_landscape& second ) - { - return subtract_two_landscapes( first,second ); - } - - /** - * An operator * that allows multipilication of a landscape by a real number. - **/ - friend Persistence_landscape operator*( const Persistence_landscape& first , double con ) - { - return first.multiply_lanscape_by_real_number_not_overwrite(con); - } - - /** - * An operator * that allows multipilication of a landscape by a real number (order of parameters swapped). - **/ - friend Persistence_landscape operator*( double con , const Persistence_landscape& first ) - { - return first.multiply_lanscape_by_real_number_not_overwrite(con); - } - - /** - * Operator +=. The second parameter is persistence landscape. - **/ - Persistence_landscape operator += ( const Persistence_landscape& rhs ) - { - *this = *this + rhs; - return *this; - } - - /** - * Operator -=. The second parameter is a persistence landscape. - **/ - Persistence_landscape operator -= ( const Persistence_landscape& rhs ) - { - *this = *this - rhs; - return *this; - } - - - /** - * Operator *=. The second parameter is a real number by which the y values of all landscape functions are multiplied. The x-values remain unchanged. - **/ - Persistence_landscape operator *= ( double x ) - { - *this = *this*x; - return *this; - } - - /** - * Operator /=. The second parameter is a real number. - **/ - Persistence_landscape operator /= ( double x ) - { - if ( x == 0 )throw( "In operator /=, division by 0. Program terminated." ); - *this = *this * (1/x); - return *this; - } - - /** - * An operator to compare two persistence landscapes. - **/ - bool operator == ( const Persistence_landscape& rhs )const; - - - /** - * An operator to compare two persistence landscapes. - **/ - bool operator != ( const Persistence_landscape& rhs )const - { - return !((*this) == rhs); - } - - - /** - * Computations of maximum (y) value of landscape. - **/ - double compute_maximum()const - { - double maxValue = 0; - if ( this->land.size() ) - { - maxValue = -std::numeric_limits::max(); - for ( size_t i = 0 ; i != this->land[0].size() ; ++i ) - { - if ( this->land[0][i].second > maxValue )maxValue = this->land[0][i].second; - } - } - return maxValue; - } - - - /** - *\private Computations of minimum (y) value of landscape. - **/ - double compute_minimum()const - { - double minValue = 0; - if ( this->land.size() ) - { - minValue = std::numeric_limits::max(); - for ( size_t i = 0 ; i != this->land[0].size() ; ++i ) - { - if ( this->land[0][i].second < minValue )minValue = this->land[0][i].second; - } - } - return minValue; - } - - /** - *\private Computations of a \f$L^i\f$ norm of landscape, where i is the input parameter. - **/ - double compute_norm_of_landscape( double i ) - { - Persistence_landscape l; - if ( i < std::numeric_limits< double >::max() ) - { - return compute_distance_of_landscapes(*this,l,i); - } - else - { - return compute_max_norm_distance_of_landscapes(*this,l); - } - } - - /** - * An operator to compute the value of a landscape in the level 'level' at the argument 'x'. - **/ - double operator()(unsigned level,double x)const{return this->compute_value_at_a_given_point(level,x);} - - /** - *\private Computations of \f$L^{\infty}\f$ distance between two landscapes. - **/ - friend double compute_max_norm_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second ); - //friend double compute_max_norm_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second , unsigned& nrOfLand , double&x , double& y1, double& y2 ); - - - /** - *\private Computations of \f$L^{p}\f$ distance between two landscapes. p is the parameter of the procedure. - **/ - friend double compute_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second , double p ); - - - - /** - * Function to compute absolute value of a PL function. The representation of persistence landscapes allow to store general PL-function. When computing distance betwen two landscapes, we compute difference between - * them. In this case, a general PL-function with negative value can appear as a result. Then in order to compute distance, we need to take its absolute value. This is the purpose of this procedure. - **/ - Persistence_landscape abs(); - - /** - * Computes the number of landscape functions. - **/ - size_t size()const{return this->land.size(); } - - /** - * Computate maximal value of lambda-level landscape. - **/ - double find_max( unsigned lambda )const; - - /** - *\private Function to compute inner (scalar) product of two landscapes. - **/ - friend double compute_inner_product( const Persistence_landscape& l1 , const Persistence_landscape& l2 ); - - - - - - - - - - - - - - - - //Implementations of functions for various concepts. - - /** - * The number of projections to R is defined to the number of nonzero landscape functions. I-th projection is an integral of i-th landscape function over whole R. - * This function is required by the Real_valued_topological_data concept. - **/ - double project_to_R( int number_of_function )const - { - return this->compute_integral_of_a_level_of_a_landscape( (size_t)number_of_function ); - } - - /** - * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. - **/ - size_t number_of_projections_to_R()const - { - return this->number_of_functions_for_projections_to_reals; - } - - /** - * This function produce a vector of doubles based on a landscape. It is required in a concept Vectorized_topological_data - */ - std::vector vectorize( int number_of_function )const - { - //TODO, think of something smarter over here - std::vector v; - if ( (size_t)number_of_function > this->land.size() ) - { - return v; - } - v.reserve( this->land[number_of_function].size() ); - for ( size_t i = 0 ; i != this->land[number_of_function].size() ; ++i ) - { - v.push_back( this->land[number_of_function][i].second ); - } - return v; - } - /** - * This function return the number of functions that allows vectorization of persistence laandscape. It is required in a concept Vectorized_topological_data. - **/ - size_t number_of_vectorize_functions()const - { - return this->number_of_functions_for_vectorization; - } - - /** - * A function to compute averaged persistence landscape, based on vector of persistence landscapes. - * This function is required by Topological_data_with_averages concept. - **/ - void compute_average( const std::vector< Persistence_landscape* >& to_average ) - { - bool dbg = false; - - if ( dbg ){std::cerr << "to_average.size() : " << to_average.size() << std::endl;} - - std::vector< Persistence_landscape* > nextLevelMerge( to_average.size() ); - for ( size_t i = 0 ; i != to_average.size() ; ++i ) - { - nextLevelMerge[i] = to_average[i]; - } - bool is_this_first_level = true;//in the loop, we will create dynamically a unmber of intermediate complexes. We have to clean that up, but we cannot erase the initial andscapes we have - //to average. In this case, we simply check if the nextLevelMerge are the input landscapes or the ones created in that loop by usig this extra variable. - - while ( nextLevelMerge.size() != 1 ) - { - if ( dbg ){std::cerr << "nextLevelMerge.size() : " << nextLevelMerge.size() << std::endl;} - std::vector< Persistence_landscape* > nextNextLevelMerge; - nextNextLevelMerge.reserve( to_average.size() ); - for ( size_t i = 0 ; i < nextLevelMerge.size() ; i=i+2 ) - { - if ( dbg ){std::cerr << "i : " << i << std::endl;} - Persistence_landscape* l = new Persistence_landscape; - if ( i+1 != nextLevelMerge.size() ) - { - (*l) = (*nextLevelMerge[i])+(*nextLevelMerge[i+1]); - } - else - { - (*l) = *nextLevelMerge[i]; - } - nextNextLevelMerge.push_back( l ); - } - if ( dbg ){std::cerr << "After this iteration \n";getchar();} - - if ( !is_this_first_level ) - { - //deallocate the memory if the vector nextLevelMerge do not consist of the initial landscapes - for ( size_t i = 0 ; i != nextLevelMerge.size() ; ++i ) - { - delete nextLevelMerge[i]; - } - } - is_this_first_level = false; - nextLevelMerge.swap(nextNextLevelMerge); - } - (*this) = (*nextLevelMerge[0]); - (*this) *= 1/( (double)to_average.size() ); - } - - - /** - * A function to compute distance between persistence landscape. - * The parameter of this functionis a Persistence_landscape. - * This function is required in Topological_data_with_distances concept. - * For max norm distance, set power to std::numeric_limits::max() - **/ - double distance( const Persistence_landscape& second , double power = 1 )const - { - if ( power < std::numeric_limits::max() ) - { - return compute_distance_of_landscapes( *this , second , power ); - } - else - { - return compute_max_norm_distance_of_landscapes( *this , second ); - } - } - - - /** - * A function to compute scalar product of persistence landscapes. - * The parameter of this functionis a Persistence_landscape. - * This function is required in Topological_data_with_scalar_product concept. - **/ - double compute_scalar_product( const Persistence_landscape& second )const - { - return compute_inner_product( (*this) , second ); - } - //end of implementation of functions needed for concepts. - - - // - // This procedure returns x-range of a given level persistence landscape. If a default value is used, the x-range - //of 0th level landscape is given (and this range contains the ranges of all other landscapes). - // - //std::pair< double , double > get_x_range( size_t level = 0 )const - //{ - // std::pair< double , double > result; - // if ( level < this->land.size() ) - // { - // result = std::make_pair( this->land[level][1].first , this->land[level][ this->land[level].size() - 2 ].first ); - // } - // else - // { - // result = std::make_pair( 0,0 ); - // } - // return result; - //} - - /** - * This procedure returns y-range of a given level persistence landscape. If a default value is used, the y-range - * of 0th level landscape is given (and this range contains the ranges of all other landscapes). - **/ - std::pair< double , double > get_y_range( size_t level = 0 )const - { - std::pair< double , double > result; - if ( level < this->land.size() ) - { - double maxx = this->compute_maximum(); - double minn = this->compute_minimum(); - result = std::make_pair( minn , maxx ); - } - else - { - result = std::make_pair( 0,0 ); - } - return result; - } - - - - //a function used to create a gnuplot script for visualization of landscapes - void plot( const char* filename, double xRangeBegin = std::numeric_limits::max() , double xRangeEnd = std::numeric_limits::max() , - double yRangeBegin = std::numeric_limits::max() , double yRangeEnd = std::numeric_limits::max(), - int from = std::numeric_limits::max(), int to = std::numeric_limits::max() ); - - -protected: - std::vector< std::vector< std::pair > > land; - size_t number_of_functions_for_vectorization; - size_t number_of_functions_for_projections_to_reals; - - void construct_persistence_landscape_from_barcode( const std::vector< std::pair< double , double > > & p ); - Persistence_landscape multiply_lanscape_by_real_number_not_overwrite( double x )const; - void multiply_lanscape_by_real_number_overwrite( double x ); - friend double compute_maximal_distance_non_symmetric( const Persistence_landscape& pl1, const Persistence_landscape& pl2 ); - - void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() - { - //warning, this function can be only called after filling in the intervals vector. - this->number_of_functions_for_vectorization = this->land.size(); - this->number_of_functions_for_projections_to_reals = this->land.size(); - } -}; - - - - - - - - -Persistence_landscape::Persistence_landscape(const char* filename , size_t dimension) -{ - bool dbg = false; - - if ( dbg ) - { - std::cerr << "Using constructor : Persistence_landscape(char* filename)" << std::endl; - } - std::vector< std::pair< double , double > > barcode; - if ( dimension == std::numeric_limits::max() ) - { - barcode = read_persistence_intervals_in_one_dimension_from_file( filename ); - } - else - { - barcode = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); - } - this->construct_persistence_landscape_from_barcode( barcode ); - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); -} - - -bool operatorEqualDbg = false; -bool Persistence_landscape::operator == ( const Persistence_landscape& rhs )const -{ - if ( this->land.size() != rhs.land.size() ) - { - if (operatorEqualDbg)std::cerr << "1\n"; - return false; - } - for ( size_t level = 0 ; level != this->land.size() ; ++level ) - { - if ( this->land[level].size() != rhs.land[level].size() ) - { - if (operatorEqualDbg)std::cerr << "this->land[level].size() : " << this->land[level].size() << "\n"; - if (operatorEqualDbg)std::cerr << "rhs.land[level].size() : " << rhs.land[level].size() << "\n"; - if (operatorEqualDbg)std::cerr << "2\n"; - return false; - } - for ( size_t i = 0 ; i != this->land[level].size() ; ++i ) - { - if ( !( almost_equal(this->land[level][i].first , rhs.land[level][i].first) && almost_equal(this->land[level][i].second , rhs.land[level][i].second) ) ) - { - //std::cerr<< this->land[level][i].first << " , " << rhs.land[level][i].first << " and " << this->land[level][i].second << " , " << rhs.land[level][i].second << std::endl; - if (operatorEqualDbg)std::cerr << "this->land[level][i] : " << this->land[level][i].first << " " << this->land[level][i].second << "\n"; - if (operatorEqualDbg)std::cerr << "rhs.land[level][i] : " << rhs.land[level][i].first << " " << rhs.land[level][i].second << "\n"; - if (operatorEqualDbg)std::cerr << "3\n"; - return false; - } - } - } - return true; -} - - - - -Persistence_landscape::Persistence_landscape( const std::vector< std::pair< double , double > > & p ) -{ - this->construct_persistence_landscape_from_barcode( p ); - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); -} - - -void Persistence_landscape::construct_persistence_landscape_from_barcode( const std::vector< std::pair< double , double > > & p ) -{ - bool dbg = false; - if ( dbg ){std::cerr << "Persistence_landscape::Persistence_landscape( const std::vector< std::pair< double , double > >& p )" << std::endl;} - - //this is a general algorithm to construct persistence landscapes. - std::vector< std::pair > bars; - bars.insert( bars.begin() , p.begin() , p.end() ); - std::sort( bars.begin() , bars.end() , compare_points_sorting ); - - if (dbg) - { - std::cerr << "Bars : \n"; - for ( size_t i = 0 ; i != bars.size() ; ++i ) - { - std::cerr << bars[i].first << " " << bars[i].second << "\n"; - } - getchar(); - } - - std::vector< std::pair > characteristicPoints(p.size()); - for ( size_t i = 0 ; i != bars.size() ; ++i ) - { - characteristicPoints[i] = std::make_pair((bars[i].first+bars[i].second)/2.0 , (bars[i].second - bars[i].first)/2.0); - } - std::vector< std::vector< std::pair > > Persistence_landscape; - while ( !characteristicPoints.empty() ) - { - if(dbg) - { - for ( size_t i = 0 ; i != characteristicPoints.size() ; ++i ) - { - std::cout << "(" << characteristicPoints[i].first << " " << characteristicPoints[i].second << ")\n"; - } - std::cin.ignore(); - } - - std::vector< std::pair > lambda_n; - lambda_n.push_back( std::make_pair( -std::numeric_limits::max() , 0 ) ); - lambda_n.push_back( std::make_pair(minus_length(characteristicPoints[0]),0) ); - lambda_n.push_back( characteristicPoints[0] ); - - if (dbg) - { - std::cerr << "1 Adding to lambda_n : (" << -std::numeric_limits::max() << " " << 0 << ") , (" << minus_length(characteristicPoints[0]) << " " << 0 << ") , (" << characteristicPoints[0].first << " " << characteristicPoints[0].second << ") \n"; - } - - size_t i = 1; - std::vector< std::pair > newCharacteristicPoints; - while ( i < characteristicPoints.size() ) - { - size_t p = 1; - if ( (minus_length(characteristicPoints[i]) >= minus_length(lambda_n[lambda_n.size()-1])) && (birth_plus_deaths(characteristicPoints[i]) > birth_plus_deaths(lambda_n[lambda_n.size()-1])) ) - { - if ( minus_length(characteristicPoints[i]) < birth_plus_deaths(lambda_n[lambda_n.size()-1]) ) - { - std::pair point = std::make_pair( (minus_length(characteristicPoints[i])+birth_plus_deaths(lambda_n[lambda_n.size()-1]))/2 , (birth_plus_deaths(lambda_n[lambda_n.size()-1])-minus_length(characteristicPoints[i]))/2 ); - lambda_n.push_back( point ); - if (dbg) - { - std::cerr << "2 Adding to lambda_n : (" << point.first << " " << point.second << ")\n"; - } - - - if ( dbg ) - { - std::cerr << "characteristicPoints[i+p] : " << characteristicPoints[i+p].first << " " << characteristicPoints[i+p].second << "\n"; - std::cerr << "point : " << point.first << " " << point.second << "\n"; - getchar(); - } - - while ( (i+p < characteristicPoints.size() ) && ( almost_equal(minus_length(point),minus_length(characteristicPoints[i+p])) ) && ( birth_plus_deaths(point) <= birth_plus_deaths(characteristicPoints[i+p]) ) ) - { - newCharacteristicPoints.push_back( characteristicPoints[i+p] ); - if (dbg) - { - std::cerr << "3.5 Adding to newCharacteristicPoints : (" << characteristicPoints[i+p].first << " " << characteristicPoints[i+p].second << ")\n"; - getchar(); - } - ++p; - } - - - newCharacteristicPoints.push_back( point ); - if (dbg) - { - std::cerr << "4 Adding to newCharacteristicPoints : (" << point.first << " " << point.second << ")\n"; - } - - - while ( (i+p < characteristicPoints.size() ) && ( minus_length(point) <= minus_length(characteristicPoints[i+p]) ) && (birth_plus_deaths(point)>=birth_plus_deaths(characteristicPoints[i+p])) ) - { - newCharacteristicPoints.push_back( characteristicPoints[i+p] ); - if (dbg) - { - std::cerr << "characteristicPoints[i+p] : " << characteristicPoints[i+p].first << " " << characteristicPoints[i+p].second << "\n"; - std::cerr << "point : " << point.first << " " << point.second << "\n"; - std::cerr << "characteristicPoints[i+p] birth and death : " << minus_length(characteristicPoints[i+p]) << " , " << birth_plus_deaths(characteristicPoints[i+p]) << "\n"; - std::cerr << "point birth and death : " << minus_length(point) << " , " << birth_plus_deaths(point) << "\n"; - - std::cerr << "3 Adding to newCharacteristicPoints : (" << characteristicPoints[i+p].first << " " << characteristicPoints[i+p].second << ")\n"; - getchar(); - } - ++p; - } - - } - else - { - lambda_n.push_back( std::make_pair( birth_plus_deaths(lambda_n[lambda_n.size()-1]) , 0 ) ); - lambda_n.push_back( std::make_pair( minus_length(characteristicPoints[i]) , 0 ) ); - if (dbg) - { - std::cerr << "5 Adding to lambda_n : (" << birth_plus_deaths(lambda_n[lambda_n.size()-1]) << " " << 0 << ")\n"; - std::cerr << "5 Adding to lambda_n : (" << minus_length(characteristicPoints[i]) << " " << 0 << ")\n"; - } - } - lambda_n.push_back( characteristicPoints[i] ); - if (dbg) - { - std::cerr << "6 Adding to lambda_n : (" << characteristicPoints[i].first << " " << characteristicPoints[i].second << ")\n"; - } - } - else - { - newCharacteristicPoints.push_back( characteristicPoints[i] ); - if (dbg) - { - std::cerr << "7 Adding to newCharacteristicPoints : (" << characteristicPoints[i].first << " " << characteristicPoints[i].second << ")\n"; - } - } - i = i+p; - } - lambda_n.push_back( std::make_pair(birth_plus_deaths(lambda_n[lambda_n.size()-1]),0) ); - lambda_n.push_back( std::make_pair( std::numeric_limits::max() , 0 ) ); - - characteristicPoints = newCharacteristicPoints; - - lambda_n.erase(std::unique(lambda_n.begin(), lambda_n.end()), lambda_n.end()); - this->land.push_back( lambda_n ); - } -} - - - -//this function find maximum of lambda_n -double Persistence_landscape::find_max( unsigned lambda )const -{ - if ( this->land.size() < lambda )return 0; - double maximum = -std::numeric_limits::max(); - for ( size_t i = 0 ; i != this->land[lambda].size() ; ++i ) - { - if ( this->land[lambda][i].second > maximum )maximum = this->land[lambda][i].second; - } - return maximum; -} - - -double Persistence_landscape::compute_integral_of_landscape()const -{ - double result = 0; - for ( size_t i = 0 ; i != this->land.size() ; ++i ) - { - for ( size_t nr = 2 ; nr != this->land[i].size()-1 ; ++nr ) - { - //it suffices to compute every planar integral and then sum them ap for each lambda_n - result += 0.5*( this->land[i][nr].first - this->land[i][nr-1].first )*(this->land[i][nr].second + this->land[i][nr-1].second); - } - } - return result; -} - -double Persistence_landscape::compute_integral_of_a_level_of_a_landscape( size_t level )const -{ - double result = 0; - if ( level >= this->land.size() ) - { - //this landscape function is constantly equal 0, so is the intergral. - return result; - } - //also negative landscapes are assumed to be zero. - if ( level < 0 )return 0; - - for ( size_t nr = 2 ; nr != this->land[ level ].size()-1 ; ++nr ) - { - //it suffices to compute every planar integral and then sum them ap for each lambda_n - result += 0.5*( this->land[ level ][nr].first - this->land[ level ][nr-1].first )*(this->land[ level ][nr].second + this->land[ level ][nr-1].second); - } - - return result; -} - - -double Persistence_landscape::compute_integral_of_landscape( double p )const -{ - bool dbg = false; - double result = 0; - for ( size_t i = 0 ; i != this->land.size() ; ++i ) - { - for ( size_t nr = 2 ; nr != this->land[i].size()-1 ; ++nr ) - { - if (dbg)std::cout << "nr : " << nr << "\n"; - //In this interval, the landscape has a form f(x) = ax+b. We want to compute integral of (ax+b)^p = 1/a * (ax+b)^{p+1}/(p+1) - std::pair coef = compute_parameters_of_a_line( this->land[i][nr] , this->land[i][nr-1] ); - double a = coef.first; - double b = coef.second; - - if (dbg)std::cout << "(" << this->land[i][nr].first << "," << this->land[i][nr].second << ") , " << this->land[i][nr-1].first << "," << this->land[i][nr].second << ")" << std::endl; - if ( this->land[i][nr].first == this->land[i][nr-1].first )continue; - if ( a != 0 ) - { - result += 1/(a*(p+1)) * ( pow((a*this->land[i][nr].first+b),p+1) - pow((a*this->land[i][nr-1].first+b),p+1)); - } - else - { - result += ( this->land[i][nr].first - this->land[i][nr-1].first )*( pow(this->land[i][nr].second,p) ); - } - if ( dbg ) - { - std::cout << "a : " <land. -double Persistence_landscape::compute_value_at_a_given_point( unsigned level , double x )const -{ - bool compute_value_at_a_given_pointDbg = false; - //in such a case lambda_level = 0. - if ( level > this->land.size() ) return 0; - - //we know that the points in this->land[level] are ordered according to x coordinate. Therefore, we can find the point by using bisection: - unsigned coordBegin = 1; - unsigned coordEnd = this->land[level].size()-2; - - if ( compute_value_at_a_given_pointDbg ) - { - std::cerr << "Here \n"; - std::cerr << "x : " << x << "\n"; - std::cerr << "this->land[level][coordBegin].first : " << this->land[level][coordBegin].first << "\n"; - std::cerr << "this->land[level][coordEnd].first : " << this->land[level][coordEnd].first << "\n"; - } - - //in this case x is outside the support of the landscape, therefore the value of the landscape is 0. - if ( x <= this->land[level][coordBegin].first )return 0; - if ( x >= this->land[level][coordEnd].first )return 0; - - if (compute_value_at_a_given_pointDbg)std::cerr << "Entering to the while loop \n"; - - while ( coordBegin+1 != coordEnd ) - { - if (compute_value_at_a_given_pointDbg) - { - std::cerr << "coordBegin : " << coordBegin << "\n"; - std::cerr << "coordEnd : " << coordEnd << "\n"; - std::cerr << "this->land[level][coordBegin].first : " << this->land[level][coordBegin].first << "\n"; - std::cerr << "this->land[level][coordEnd].first : " << this->land[level][coordEnd].first << "\n"; - } - - - unsigned newCord = (unsigned)floor((coordEnd+coordBegin)/2.0); - - if (compute_value_at_a_given_pointDbg) - { - std::cerr << "newCord : " << newCord << "\n"; - std::cerr << "this->land[level][newCord].first : " << this->land[level][newCord].first << "\n"; - std::cin.ignore(); - } - - if ( this->land[level][newCord].first <= x ) - { - coordBegin = newCord; - if ( this->land[level][newCord].first == x )return this->land[level][newCord].second; - } - else - { - coordEnd = newCord; - } - } - - if (compute_value_at_a_given_pointDbg) - { - std::cout << "x : " << x << " is between : " << this->land[level][coordBegin].first << " a " << this->land[level][coordEnd].first << "\n"; - std::cout << "the y coords are : " << this->land[level][coordBegin].second << " a " << this->land[level][coordEnd].second << "\n"; - std::cerr << "coordBegin : " << coordBegin << "\n"; - std::cerr << "coordEnd : " << coordEnd << "\n"; - std::cin.ignore(); - } - return function_value( this->land[level][coordBegin] , this->land[level][coordEnd] , x ); -} - -std::ostream& operator<<(std::ostream& out, Persistence_landscape& land ) -{ - for ( size_t level = 0 ; level != land.land.size() ; ++level ) - { - out << "Lambda_" << level << ":" << std::endl; - for ( size_t i = 0 ; i != land.land[level].size() ; ++i ) - { - if ( land.land[level][i].first == -std::numeric_limits::max() ) - { - out << "-inf"; - } - else - { - if ( land.land[level][i].first == std::numeric_limits::max() ) - { - out << "+inf"; - } - else - { - out << land.land[level][i].first; - } - } - out << " , " << land.land[level][i].second << std::endl; - } - } - return out; -} - - - - -void Persistence_landscape::multiply_lanscape_by_real_number_overwrite( double x ) -{ - for ( size_t dim = 0 ; dim != this->land.size() ; ++dim ) - { - for ( size_t i = 0 ; i != this->land[dim].size() ; ++i ) - { - this->land[dim][i].second *= x; - } - } -} - -bool AbsDbg = false; -Persistence_landscape Persistence_landscape::abs() -{ - Persistence_landscape result; - for ( size_t level = 0 ; level != this->land.size() ; ++level ) - { - if ( AbsDbg ){ std::cout << "level: " << level << std::endl; } - std::vector< std::pair > lambda_n; - lambda_n.push_back( std::make_pair( -std::numeric_limits::max() , 0 ) ); - for ( size_t i = 1 ; i != this->land[level].size() ; ++i ) - { - if ( AbsDbg ){std::cout << "this->land[" << level << "][" << i << "] : " << this->land[level][i].first << " " << this->land[level][i].second << std::endl;} - //if a line segment between this->land[level][i-1] and this->land[level][i] crosses the x-axis, then we have to add one landscape point t oresult - if ( (this->land[level][i-1].second)*(this->land[level][i].second) < 0 ) - { - double zero = find_zero_of_a_line_segment_between_those_two_points( this->land[level][i-1] , this->land[level][i] ); - - lambda_n.push_back( std::make_pair(zero , 0) ); - lambda_n.push_back( std::make_pair(this->land[level][i].first , fabs(this->land[level][i].second)) ); - if ( AbsDbg ) - { - std::cout << "Adding pair : (" << zero << ",0)" << std::endl; - std::cout << "In the same step adding pair : (" << this->land[level][i].first << "," << fabs(this->land[level][i].second) << ") " << std::endl; - std::cin.ignore(); - } - } - else - { - lambda_n.push_back( std::make_pair(this->land[level][i].first , fabs(this->land[level][i].second)) ); - if ( AbsDbg ) - { - std::cout << "Adding pair : (" << this->land[level][i].first << "," << fabs(this->land[level][i].second) << ") " << std::endl; - std::cin.ignore(); - } - } - } - result.land.push_back( lambda_n ); - } - return result; -} - - -Persistence_landscape Persistence_landscape::multiply_lanscape_by_real_number_not_overwrite( double x )const -{ - std::vector< std::vector< std::pair > > result(this->land.size()); - for ( size_t dim = 0 ; dim != this->land.size() ; ++dim ) - { - std::vector< std::pair > lambda_dim( this->land[dim].size() ); - for ( size_t i = 0 ; i != this->land[dim].size() ; ++i ) - { - lambda_dim[i] = std::make_pair( this->land[dim][i].first , x*this->land[dim][i].second ); - } - result[dim] = lambda_dim; - } - Persistence_landscape res; - //CHANGE - //res.land = result; - res.land.swap(result); - return res; -}//multiply_lanscape_by_real_number_overwrite - - -void Persistence_landscape::print_to_file( const char* filename )const -{ - std::ofstream write; - write.open(filename); - for ( size_t dim = 0 ; dim != this->land.size() ; ++dim ) - { - write << "#lambda_" << dim << std::endl; - for ( size_t i = 1 ; i != this->land[dim].size()-1 ; ++i ) - { - write << this->land[dim][i].first << " " << this->land[dim][i].second << std::endl; - } - } - write.close(); -} - -void Persistence_landscape::load_landscape_from_file( const char* filename ) -{ - bool dbg = false; - //removing the current content of the persistence landscape. - this->land.clear(); - - - //this constructor reads persistence landscape form a file. This file have to be created by this software beforehead - std::ifstream in; - in.open( filename ); - if ( !in.good() ) - { - std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; - throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; - } - - std::string line; - std::vector< std::pair > landscapeAtThisLevel; - - bool isThisAFirsLine = true; - while ( !in.eof() ) - { - getline(in,line); - if ( !(line.length() == 0 || line[0] == '#') ) - { - std::stringstream lineSS; - lineSS << line; - double beginn, endd; - lineSS >> beginn; - lineSS >> endd; - landscapeAtThisLevel.push_back( std::make_pair( beginn , endd ) ); - if (dbg){std::cerr << "Reading a pont : " << beginn << " , " << endd << std::endl;} - } - else - { - if (dbg) - { - std::cout << "IGNORE LINE\n"; - getchar(); - } - if ( !isThisAFirsLine ) - { - landscapeAtThisLevel.push_back( std::make_pair( std::numeric_limits::max() , 0 ) ); - this->land.push_back(landscapeAtThisLevel); - std::vector< std::pair > newLevelOdLandscape; - landscapeAtThisLevel.swap(newLevelOdLandscape); - } - landscapeAtThisLevel.push_back( std::make_pair( -std::numeric_limits::max() , 0 ) ); - isThisAFirsLine = false; - } - } - if ( landscapeAtThisLevel.size() > 1 ) - { - //seems that the last line of the file is not finished with the newline sign. We need to put what we have in landscapeAtThisLevel to the constructed landscape. - landscapeAtThisLevel.push_back( std::make_pair( std::numeric_limits::max() , 0 ) ); - this->land.push_back(landscapeAtThisLevel); - } - - in.close(); -} - - -template < typename T > -Persistence_landscape operation_on_pair_of_landscapes ( const Persistence_landscape& land1 , const Persistence_landscape& land2 ) -{ - bool operation_on_pair_of_landscapesDBG = false; - if ( operation_on_pair_of_landscapesDBG ){std::cout << "operation_on_pair_of_landscapes\n";std::cin.ignore();} - Persistence_landscape result; - std::vector< std::vector< std::pair > > land( std::max( land1.land.size() , land2.land.size() ) ); - result.land = land; - T oper; - - if ( operation_on_pair_of_landscapesDBG ) - { - for ( size_t i = 0 ; i != std::min( land1.land.size() , land2.land.size() ) ; ++i ) - { - std::cerr << "land1.land[" << i << "].size() : " << land1.land[i].size() << std::endl; - std::cerr << "land2.land[" << i << "].size() : " << land2.land[i].size() << std::endl; - } - getchar(); - } - - for ( size_t i = 0 ; i != std::min( land1.land.size() , land2.land.size() ) ; ++i ) - { - std::vector< std::pair > lambda_n; - size_t p = 0; - size_t q = 0; - while ( (p+1 < land1.land[i].size()) && (q+1 < land2.land[i].size()) ) - { - if ( operation_on_pair_of_landscapesDBG ) - { - std::cerr << "p : " << p << "\n"; - std::cerr << "q : " << q << "\n"; - std::cerr << "land1.land.size() : " << land1.land.size() << std::endl; - std::cerr << "land2.land.size() : " << land2.land.size() << std::endl; - std::cerr << "land1.land[" << i << "].size() : " << land1.land[i].size() << std::endl; - std::cerr << "land2.land[" << i << "].size() : " << land2.land[i].size() << std::endl; - std::cout << "land1.land[i][p].first : " << land1.land[i][p].first << "\n"; - std::cout << "land2.land[i][q].first : " << land2.land[i][q].first << "\n"; - //getchar(); - } - - if ( land1.land[i][p].first < land2.land[i][q].first ) - { - if ( operation_on_pair_of_landscapesDBG ) - { - std::cout << "first \n"; - std::cout << " function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) : "<< function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) << "\n"; - //std::cout << "oper( " << land1.land[i][p].second <<"," << function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) << " : " << oper( land1.land[i][p].second , function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) ) << "\n"; - } - lambda_n.push_back( - std::make_pair( - land1.land[i][p].first , - oper( (double)land1.land[i][p].second , function_value(land2.land[i][q-1],land2.land[i][q],land1.land[i][p].first) ) - ) - ); - ++p; - continue; - } - if ( land1.land[i][p].first > land2.land[i][q].first ) - { - if ( operation_on_pair_of_landscapesDBG ) - { - std::cout << "Second \n"; - std::cout << "function_value("<< land1.land[i][p-1].first << " " << land1.land[i][p-1].second <<" ,"<< land1.land[i][p].first << " " << land1.land[i][p].second <<", " << land2.land[i][q].first<<" ) : " << function_value( land1.land[i][p-1] , land1.land[i][p-1] ,land2.land[i][q].first ) << "\n"; - std::cout << "oper( " << function_value( land1.land[i][p] , land1.land[i][p-1] ,land2.land[i][q].first ) <<"," << land2.land[i][q].second <<" : " << oper( land2.land[i][q].second , function_value( land1.land[i][p] , land1.land[i][p-1] ,land2.land[i][q].first ) ) << "\n"; - } - lambda_n.push_back( std::make_pair( land2.land[i][q].first , oper( function_value( land1.land[i][p] , land1.land[i][p-1] ,land2.land[i][q].first ) , land2.land[i][q].second ) ) ); - ++q; - continue; - } - if ( land1.land[i][p].first == land2.land[i][q].first ) - { - if (operation_on_pair_of_landscapesDBG)std::cout << "Third \n"; - lambda_n.push_back( std::make_pair( land2.land[i][q].first , oper( land1.land[i][p].second , land2.land[i][q].second ) ) ); - ++p;++q; - } - if (operation_on_pair_of_landscapesDBG){std::cout << "Next iteration \n";} - } - while ( (p+1 < land1.land[i].size())&&(q+1 >= land2.land[i].size()) ) - { - if (operation_on_pair_of_landscapesDBG) - { - std::cout << "New point : " << land1.land[i][p].first << " oper(land1.land[i][p].second,0) : " << oper(land1.land[i][p].second,0) << std::endl; - } - lambda_n.push_back( std::make_pair(land1.land[i][p].first , oper(land1.land[i][p].second,0) ) ); - ++p; - } - while ( (p+1 >= land1.land[i].size())&&(q+1 < land2.land[i].size()) ) - { - if (operation_on_pair_of_landscapesDBG) - { - std::cout << "New point : " << land2.land[i][q].first << " oper(0,land2.land[i][q].second) : " << oper(0,land2.land[i][q].second) << std::endl; - } - lambda_n.push_back( std::make_pair(land2.land[i][q].first , oper(0,land2.land[i][q].second) ) ); - ++q; - } - lambda_n.push_back( std::make_pair( std::numeric_limits::max() , 0 ) ); - //CHANGE - //result.land[i] = lambda_n; - result.land[i].swap(lambda_n); - } - if ( land1.land.size() > std::min( land1.land.size() , land2.land.size() ) ) - { - if (operation_on_pair_of_landscapesDBG){std::cout << "land1.land.size() > std::min( land1.land.size() , land2.land.size() )" << std::endl;} - for ( size_t i = std::min( land1.land.size() , land2.land.size() ) ; i != std::max( land1.land.size() , land2.land.size() ) ; ++i ) - { - std::vector< std::pair > lambda_n( land1.land[i] ); - for ( size_t nr = 0 ; nr != land1.land[i].size() ; ++nr ) - { - lambda_n[nr] = std::make_pair( land1.land[i][nr].first , oper( land1.land[i][nr].second , 0 ) ); - } - //CHANGE - //result.land[i] = lambda_n; - result.land[i].swap(lambda_n); - } - } - if ( land2.land.size() > std::min( land1.land.size() , land2.land.size() ) ) - { - if (operation_on_pair_of_landscapesDBG){std::cout << "( land2.land.size() > std::min( land1.land.size() , land2.land.size() ) ) " << std::endl;} - for ( size_t i = std::min( land1.land.size() , land2.land.size() ) ; i != std::max( land1.land.size() , land2.land.size() ) ; ++i ) - { - std::vector< std::pair > lambda_n( land2.land[i] ); - for ( size_t nr = 0 ; nr != land2.land[i].size() ; ++nr ) - { - lambda_n[nr] = std::make_pair( land2.land[i][nr].first , oper( 0 , land2.land[i][nr].second ) ); - } - //CHANGE - //result.land[i] = lambda_n; - result.land[i].swap(lambda_n); - } - } - if ( operation_on_pair_of_landscapesDBG ){std::cout << "operation_on_pair_of_landscapes END\n";std::cin.ignore();} - return result; -}//operation_on_pair_of_landscapes - - - -double compute_maximal_distance_non_symmetric( const Persistence_landscape& pl1, const Persistence_landscape& pl2 ) -{ - bool dbg = false; - if (dbg)std::cerr << " compute_maximal_distance_non_symmetric \n"; - //this distance is not symmetric. It compute ONLY distance between inflection points of pl1 and pl2. - double maxDist = 0; - size_t minimalNumberOfLevels = std::min( pl1.land.size() , pl2.land.size() ); - for ( size_t level = 0 ; level != minimalNumberOfLevels ; ++ level ) - { - if (dbg) - { - std::cerr << "Level : " << level << std::endl; - std::cerr << "PL1 : \n"; - for ( size_t i = 0 ; i != pl1.land[level].size() ; ++i ) - { - std::cerr << "(" <=pl2.land[level][p2Count].first) && (pl1.land[level][i].first<=pl2.land[level][p2Count+1].first) )break; - p2Count++; - } - double val = fabs( function_value( pl2.land[level][p2Count] , pl2.land[level][p2Count+1] , pl1.land[level][i].first ) - pl1.land[level][i].second); - if ( maxDist <= val )maxDist = val; - - if (dbg) - { - std::cerr << pl1.land[level][i].first <<"in [" << pl2.land[level][p2Count].first << "," << pl2.land[level][p2Count+1].first <<"] \n"; - std::cerr << "pl1[level][i].second : " << pl1.land[level][i].second << std::endl; - std::cerr << "function_value( pl2[level][p2Count] , pl2[level][p2Count+1] , pl1[level][i].first ) : " << function_value( pl2.land[level][p2Count] , pl2.land[level][p2Count+1] , pl1.land[level][i].first ) << std::endl; - std::cerr << "val : " << val << std::endl; - std::cin.ignore(); - } - } - } - - if (dbg)std::cerr << "minimalNumberOfLevels : " << minimalNumberOfLevels << std::endl; - - if ( minimalNumberOfLevels < pl1.land.size() ) - { - for ( size_t level = minimalNumberOfLevels ; level != pl1.land.size() ; ++ level ) - { - for ( size_t i = 0 ; i != pl1.land[level].size() ; ++i ) - { - if (dbg)std::cerr << "pl1[level][i].second : " << pl1.land[level][i].second << std::endl; - if ( maxDist < pl1.land[level][i].second )maxDist = pl1.land[level][i].second; - } - } - } - return maxDist; -} - - - - -double compute_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second , double p ) -{ - bool dbg = false; - //This is what we want to compute: (\int_{- \infty}^{+\infty}| first-second |^p)^(1/p). We will do it one step at a time: - - //first-second : - Persistence_landscape lan = first-second; - - //| first-second |: - lan = lan.abs(); - - if ( dbg ){std::cerr << "Abs of difference ; " << lan << std::endl;getchar();} - - if ( p < std::numeric_limits::max() ) - { - //\int_{- \infty}^{+\infty}| first-second |^p - double result; - if ( p != 1 ) - { - if ( dbg )std::cerr << "Power != 1, compute integral to the power p\n"; - result = lan.compute_integral_of_landscape( (double)p ); - } - else - { - if ( dbg )std::cerr << "Power = 1, compute integral \n"; - result = lan.compute_integral_of_landscape(); - } - //(\int_{- \infty}^{+\infty}| first-second |^p)^(1/p) - return pow( result , 1/(double)p ); - } - else - { - //p == infty - if ( dbg )std::cerr << "Power = infty, compute maximum \n"; - return lan.compute_maximum(); - } -} - -double compute_max_norm_distance_of_landscapes( const Persistence_landscape& first, const Persistence_landscape& second ) -{ - return std::max( compute_maximal_distance_non_symmetric(first,second) , compute_maximal_distance_non_symmetric(second,first) ); -} - - -bool comparePairsForMerging( std::pair< double , unsigned > first , std::pair< double , unsigned > second ) -{ - return (first.first < second.first); -} - - - - -double compute_inner_product( const Persistence_landscape& l1 , const Persistence_landscape& l2 ) -{ - bool dbg = false; - double result = 0; - - for ( size_t level = 0 ; level != std::min( l1.size() , l2.size() ) ; ++level ) - { - if ( dbg ){std::cerr << "Computing inner product for a level : " << level << std::endl;getchar();} - if ( l1.land[level].size() * l2.land[level].size() == 0 )continue; - - //endpoints of the interval on which we will compute the inner product of two locally linear functions: - double x1 = -std::numeric_limits::max(); - double x2; - if ( l1.land[level][1].first < l2.land[level][1].first ) - { - x2 = l1.land[level][1].first; - } - else - { - x2 = l2.land[level][1].first; - } - - //iterators for the landscapes l1 and l2 - size_t l1It = 0; - size_t l2It = 0; - - while ( (l1It < l1.land[level].size()-1) && (l2It < l2.land[level].size()-1) ) - { - //compute the value of a inner product on a interval [x1,x2] - - double a,b,c,d; - - if ( l1.land[level][l1It+1].first != l1.land[level][l1It].first ) - { - a = (l1.land[level][l1It+1].second - l1.land[level][l1It].second)/(l1.land[level][l1It+1].first - l1.land[level][l1It].first); - } - else - { - a = 0; - } - b = l1.land[level][l1It].second - a*l1.land[level][l1It].first; - if ( l2.land[level][l2It+1].first != l2.land[level][l2It].first ) - { - c = (l2.land[level][l2It+1].second - l2.land[level][l2It].second)/(l2.land[level][l2It+1].first - l2.land[level][l2It].first); - } - else - { - c = 0; - } - d = l2.land[level][l2It].second - c*l2.land[level][l2It].first; - - double contributionFromThisPart - = - (a*c*x2*x2*x2/3 + (a*d+b*c)*x2*x2/2 + b*d*x2) - (a*c*x1*x1*x1/3 + (a*d+b*c)*x1*x1/2 + b*d*x1); - - result += contributionFromThisPart; - - if ( dbg ) - { - std::cerr << "[l1.land[level][l1It].first,l1.land[level][l1It+1].first] : " << l1.land[level][l1It].first << " , " << l1.land[level][l1It+1].first << std::endl; - std::cerr << "[l2.land[level][l2It].first,l2.land[level][l2It+1].first] : " << l2.land[level][l2It].first << " , " << l2.land[level][l2It+1].first << std::endl; - std::cerr << "a : " << a << ", b : " << b << " , c: " << c << ", d : " << d << std::endl; - std::cerr << "x1 : " << x1 << " , x2 : " << x2 << std::endl; - std::cerr << "contributionFromThisPart : " << contributionFromThisPart << std::endl; - std::cerr << "result : " << result << std::endl; - getchar(); - } - - //we have two intervals in which functions are constant: - //[l1.land[level][l1It].first , l1.land[level][l1It+1].first] - //and - //[l2.land[level][l2It].first , l2.land[level][l2It+1].first] - //We also have an interval [x1,x2]. Since the intervals in the landscapes cover the whole R, then it is clear that x2 - //is either l1.land[level][l1It+1].first of l2.land[level][l2It+1].first or both. Lets test it. - if ( x2 == l1.land[level][l1It+1].first ) - { - if ( x2 == l2.land[level][l2It+1].first ) - { - //in this case, we increment both: - ++l2It; - if ( dbg ){std::cerr << "Incrementing both \n";} - } - else - { - if ( dbg ){std::cerr << "Incrementing first \n";} - } - ++l1It; - } - else - { - //in this case we increment l2It - ++l2It; - if ( dbg ){std::cerr << "Incrementing second \n";} - } - //Now, we shift x1 and x2: - x1 = x2; - if ( l1.land[level][l1It+1].first < l2.land[level][l2It+1].first ) - { - x2 = l1.land[level][l1It+1].first; - } - else - { - x2 = l2.land[level][l2It+1].first; - } - - } - - } - return result; -} - - -void Persistence_landscape::plot( const char* filename, double xRangeBegin , double xRangeEnd , double yRangeBegin , double yRangeEnd , int from , int to ) -{ - //this program create a gnuplot script file that allows to plot persistence diagram. - std::ofstream out; - - std::ostringstream nameSS; - nameSS << filename << "_GnuplotScript"; - std::string nameStr = nameSS.str(); - out.open( nameStr ); - - if ( (xRangeBegin != std::numeric_limits::max()) || (xRangeEnd != std::numeric_limits::max()) || (yRangeBegin != std::numeric_limits::max()) || (yRangeEnd != std::numeric_limits::max()) ) - { - out << "set xrange [" << xRangeBegin << " : " << xRangeEnd << "]" << std::endl; - out << "set yrange [" << yRangeBegin << " : " << yRangeEnd << "]" << std::endl; - } - - if ( from == std::numeric_limits::max() ){from = 0;} - if ( to == std::numeric_limits::max() ){to = this->land.size();} - - out << "plot "; - for ( size_t lambda= std::min((size_t)from,this->land.size()) ; lambda != std::min((size_t)to,this->land.size()) ; ++lambda ) - { - //out << " '-' using 1:2 title 'l" << lambda << "' with lp"; - out << " '-' using 1:2 notitle with lp"; - if ( lambda+1 != std::min((size_t)to,this->land.size()) ) - { - out << ", \\"; - } - out << std::endl; - } - - for ( size_t lambda= std::min((size_t)from,this->land.size()) ; lambda != std::min((size_t)to,this->land.size()) ; ++lambda ) - { - for ( size_t i = 1 ; i != this->land[lambda].size()-1 ; ++i ) - { - out << this->land[lambda][i].first << " " << this->land[lambda][i].second << std::endl; - } - out << "EOF" << std::endl; - } - std::cout << "Gnuplot script to visualize persistence diagram written to the file: " << nameStr << ". Type load '" << nameStr << "' in gnuplot to visualize." << std::endl; -} - - - - -}//namespace gudhi stat -}//namespace gudhi - - -#endif diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape_on_grid.h b/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape_on_grid.h deleted file mode 100644 index 2e1fb56d..00000000 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/Persistence_landscape_on_grid.h +++ /dev/null @@ -1,1560 +0,0 @@ -/** 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 . - **/ - -#ifndef Persistence_landscape_on_grid_H_ -#define Persistence_landscape_on_grid_H_ - - -//standard include -#include -#include -#include -#include -#include -#include -#include -#include -#include - - -//gudhi include - -#include -#include - - - -namespace Gudhi -{ -namespace Gudhi_stat -{ - -//predeclaration -class Persistence_landscape_on_grid; -template < typename operation > -Persistence_landscape_on_grid operation_on_pair_of_landscapes_on_grid( const Persistence_landscape_on_grid& land1 , const Persistence_landscape_on_grid& land2 ); - -/** - * A clas implementing persistence landascpes by approximating them on a collection of grid points. * Persistence landscapes on grid allow vertorization, computations of distances, computations - * of projections to Real, computations of averages and scalar products. Therefore they implement suitable interfaces. - * It implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product - * Note that at the moment, due to roundoff errors during the construction of persistence landscapes on a grid, elements which are different by 0.000005 are considered the same. If the scale in your persistence diagrams - * is comparable to this value, please rescale them before use this code. -**/ - -//this class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product -class Persistence_landscape_on_grid -{ -public: - /** - * Default constructor. - **/ - Persistence_landscape_on_grid() - { - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); - this->grid_min = this->grid_max = 0; - } - - /** - * Constructor that takes as an input a vector of birth-death pairs. - **/ - Persistence_landscape_on_grid( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_ ); - - - /** - * Constructor that takes as an input a vector of birth-death pairs, parameters of the grid and number of landscape function to be created. - **/ - Persistence_landscape_on_grid( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_ , unsigned number_of_levels_of_landscape ); - - /** - * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed - * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. The additional parameters of this procedure are: ranges of grid, resoltion of a grid - * number of landscape functions to be created and the dimension of intervals that are need to be read from a file (in case of Gudhi format files). - **/ - Persistence_landscape_on_grid(const char* filename , double grid_min_, double grid_max_ , size_t number_of_points_ , unsigned number_of_levels_of_landscape , unsigned short dimension_ = std::numeric_limits::max() ); - - /** - * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed - * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. The additional parameters of this procedure are: ranges of grid, resoltion of a grid - * and the dimension of intervals that are need to be read from a file (in case of Gudhi format files). - **/ - Persistence_landscape_on_grid(const char* filename , double grid_min_, double grid_max_ , size_t number_of_points_ , unsigned short dimension_ = std::numeric_limits::max() ); - - - /** - * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed - * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. The additional parameter is the resoution of a grid and the number of landscape - * functions to be created. The remaning parameters are calculated based on data. - **/ - Persistence_landscape_on_grid(const char* filename , size_t number_of_points , unsigned number_of_levels_of_landscape , unsigned short dimension = std::numeric_limits::max() ); - - /** - * Constructor that reads persistence intervals from file and creates persistence landscape. The format of the input file is the following: in each line we put birth-death pair. Last line is assumed - * to be empty. Even if the points within a line are not ordered, they will be ordered while the input is read. The additional parameter is the resoution of a grid. The last parameter is the dimension - * of a persistence to read from the file. If your file contains only persistence pair in a single dimension, please set it up to std::numeric_limits::max(). - * The remaning parameters are calculated based on data. - **/ - Persistence_landscape_on_grid(const char* filename , size_t number_of_points , unsigned short dimension = std::numeric_limits::max() ); - - - /** - * This procedure loads a landscape from file. It erase all the data that was previously stored in this landscape. - **/ - void load_landscape_from_file( const char* filename ); - - - /** - * The procedure stores a landscape to a file. The file can be later used by a procedure load_landscape_from_file. - **/ - void print_to_file( const char* filename )const; - - - - /** - * This function compute integral of the landscape (defined formally as sum of integrals on R of all landscape functions) - **/ - double compute_integral_of_landscape()const - { - size_t maximal_level = this->number_of_nonzero_levels(); - double result = 0; - for ( size_t i = 0 ; i != maximal_level ; ++i ) - { - result += this->compute_integral_of_landscape(i); - } - return result; - } - - - /** - * This function compute integral of the 'level'-level of a landscape. - **/ - double compute_integral_of_landscape( size_t level )const - { - bool dbg = false; - double result = 0; - double dx = (this->grid_max - this->grid_min)/(double)(this->values_of_landscapes.size()-1); - - if ( dbg ) - { - std::cerr << "this->grid_max : " << this->grid_max << std::endl; - std::cerr << "this->grid_min : " << this->grid_min << std::endl; - std::cerr << "this->values_of_landscapes.size() : " << this->values_of_landscapes.size() << std::endl; - getchar(); - } - - - double previous_x = this->grid_min-dx; - double previous_y = 0; - for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) - { - double current_x = previous_x + dx; - double current_y = 0; - if ( this->values_of_landscapes[i].size() > level )current_y = this->values_of_landscapes[i][level]; - - if ( dbg ) - { - std::cerr << "this->values_of_landscapes[i].size() : " << this->values_of_landscapes[i].size() << " , level : " << level << std::endl; - if ( this->values_of_landscapes[i].size() > level )std::cerr << "this->values_of_landscapes[i][level] : " << this->values_of_landscapes[i][level] << std::endl; - std::cerr << "previous_y : " << previous_y << std::endl; - std::cerr << "current_y : " << current_y << std::endl; - std::cerr << "dx : " << dx << std::endl; - std::cerr << "0.5*dx*( previous_y + current_y ); " << 0.5*dx*( previous_y + current_y ) << std::endl; - } - - result += 0.5*dx*( previous_y + current_y ); - previous_x = current_x; - previous_y = current_y; - } - return result; - } - - /** - * This function compute integral of the landscape p-th power of a landscape (defined formally as sum of integrals on R of p-th powers of all landscape functions) - **/ - double compute_integral_of_landscape( double p )const - { - size_t maximal_level = this->number_of_nonzero_levels(); - double result = 0; - for ( size_t i = 0 ; i != maximal_level ; ++i ) - { - result += this->compute_integral_of_landscape(p,i); - } - return result; - } - - /** - * This function compute integral of the landscape p-th power of a level of a landscape (defined formally as sum of integrals on R of p-th powers of all landscape functions) - **/ - double compute_integral_of_landscape( double p , size_t level )const - { - bool dbg = false; - - double result = 0; - double dx = (this->grid_max - this->grid_min)/(double)(this->values_of_landscapes.size()-1); - double previous_x = this->grid_min; - double previous_y = 0; - if ( this->values_of_landscapes[0].size() > level )previous_y = this->values_of_landscapes[0][level]; - - if ( dbg ) - { - std::cerr << "dx : " << dx << std::endl; - std::cerr << "previous_x : " << previous_x << std::endl; - std::cerr << "previous_y : " << previous_y << std::endl; - std::cerr << "power : " << p << std::endl; - getchar(); - } - - for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) - { - double current_x = previous_x + dx; - double current_y = 0; - if ( this->values_of_landscapes[i].size() > level )current_y = this->values_of_landscapes[i][level]; - - if ( dbg )std::cerr << "current_y : " << current_y << std::endl; - - if ( current_y == previous_y )continue; - - std::pair coef = compute_parameters_of_a_line( std::make_pair( previous_x , previous_y ) , std::make_pair( current_x , current_y ) ); - double a = coef.first; - double b = coef.second; - - if ( dbg ) - { - std::cerr << "A line passing through points : (" << previous_x << "," << previous_y << ") and (" << current_x << "," << current_y << ") is : " << a << "x+" << b << std::endl; - } - - //In this interval, the landscape has a form f(x) = ax+b. We want to compute integral of (ax+b)^p = 1/a * (ax+b)^{p+1}/(p+1) - double value_to_add = 0; - if ( a != 0 ) - { - value_to_add = 1/(a*(p+1)) * ( pow((a*current_x+b),p+1) - pow((a*previous_x+b),p+1)); - } - else - { - value_to_add = ( current_x - previous_x )*( pow(b,p) ); - } - result += value_to_add; - if ( dbg ) - { - std::cerr << "Increasing result by : " << value_to_add << std::endl; - std::cerr << "restult : " << result << std::endl; - getchar(); - } - previous_x = current_x; - previous_y = current_y; - } - if ( dbg )std::cerr << "The total result is : " << result << std::endl; - return result; - } - - /** - * Writing landscape into a stream. A i-th level landscape starts with a string "lambda_i". Then the discontinuity points of the landscapes follows. - * Shall those points be joined with lines, we will obtain the i-th landscape function. - **/ - friend std::ostream& operator<<(std::ostream& out, const Persistence_landscape_on_grid& land ) - { - double dx = (land.grid_max - land.grid_min)/(double)(land.values_of_landscapes.size()-1); - double x = land.grid_min; - for ( size_t i = 0 ; i != land.values_of_landscapes.size() ; ++i ) - { - out << x << " : "; - for ( size_t j = 0 ; j != land.values_of_landscapes[i].size() ; ++j ) - { - out << land.values_of_landscapes[i][j] << " "; - } - out << std::endl; - x += dx; - } - return out; - } - - template < typename oper > - friend Persistence_landscape_on_grid operation_on_pair_of_landscapes_on_grid( const Persistence_landscape_on_grid& land1 , const Persistence_landscape_on_grid& land2 ); - - - /** - * A function that computes the value of a landscape at a given point. The parameters of the function are: unsigned level and double x. - * The procedure will compute the value of the level-landscape at the point x. - **/ - double compute_value_at_a_given_point( unsigned level , double x )const - { - bool dbg = false; - if ( (x < this->grid_min) || (x > this->grid_max) )return 0; - - //find a position of a vector closest to x: - double dx = (this->grid_max - this->grid_min)/(double)(this->values_of_landscapes.size()-1); - size_t position = size_t((x-this->grid_min)/dx); - - if ( dbg ) - { - std::cerr << "This is a procedure compute_value_at_a_given_point \n"; - std::cerr << "level : " << level << std::endl; - std::cerr << "x : " << x << std::endl; - std::cerr << "psoition : " << position << std::endl; - } - //check if we are not exacly in the grid point: - if ( almost_equal( position*dx+ this->grid_min , x) ) - { - if ( this->values_of_landscapes[position].size() < level ) - { - return this->values_of_landscapes[position][level]; - } - else - { - return 0; - } - } - //in the other case, approximate with a line: - std::pair line; - if ( (this->values_of_landscapes[position].size() > level) && (this->values_of_landscapes[position+1].size() > level) ) - { - line = compute_parameters_of_a_line( std::make_pair( position*dx+ this->grid_min , this->values_of_landscapes[position][level] ) , std::make_pair( (position+1)*dx+ this->grid_min , this->values_of_landscapes[position+1][level] ) ); - } - else - { - if ( (this->values_of_landscapes[position].size() > level) || (this->values_of_landscapes[position+1].size() > level) ) - { - if ( (this->values_of_landscapes[position].size() > level) ) - { - line = compute_parameters_of_a_line( std::make_pair( position*dx+ this->grid_min , this->values_of_landscapes[position][level] ) , std::make_pair( (position+1)*dx+ this->grid_min , 0 ) ); - } - else - { - //(this->values_of_landscapes[position+1].size() > level) - line = compute_parameters_of_a_line( std::make_pair( position*dx+ this->grid_min , 0 ) , std::make_pair( (position+1)*dx+ this->grid_min , this->values_of_landscapes[position+1][level] ) ); - } - } - else - { - return 0; - } - } - //compute the value of the linear function parametrized by line on a point x: - return line.first*x+line.second; - } - - - public: - /** - *\private A function that compute sum of two landscapes. - **/ - friend Persistence_landscape_on_grid add_two_landscapes ( const Persistence_landscape_on_grid& land1 , const Persistence_landscape_on_grid& land2 ) - { - return operation_on_pair_of_landscapes_on_grid< std::plus >(land1,land2); - } - - /** - *\private A function that compute difference of two landscapes. - **/ - friend Persistence_landscape_on_grid subtract_two_landscapes ( const Persistence_landscape_on_grid& land1 , const Persistence_landscape_on_grid& land2 ) - { - return operation_on_pair_of_landscapes_on_grid< std::minus >(land1,land2); - } - - /** - * An operator +, that compute sum of two landscapes. - **/ - friend Persistence_landscape_on_grid operator+( const Persistence_landscape_on_grid& first , const Persistence_landscape_on_grid& second ) - { - return add_two_landscapes( first,second ); - } - - /** - * An operator -, that compute difference of two landscapes. - **/ - friend Persistence_landscape_on_grid operator-( const Persistence_landscape_on_grid& first , const Persistence_landscape_on_grid& second ) - { - return subtract_two_landscapes( first,second ); - } - - /** - * An operator * that allows multipilication of a landscape by a real number. - **/ - friend Persistence_landscape_on_grid operator*( const Persistence_landscape_on_grid& first , double con ) - { - return first.multiply_lanscape_by_real_number_not_overwrite(con); - } - - /** - * An operator * that allows multipilication of a landscape by a real number (order of parameters swapped). - **/ - friend Persistence_landscape_on_grid operator*( double con , const Persistence_landscape_on_grid& first ) - { - return first.multiply_lanscape_by_real_number_not_overwrite(con); - } - - friend bool check_if_defined_on_the_same_domain( const Persistence_landscape_on_grid& land1, const Persistence_landscape_on_grid& land2 ) - { - if ( land1.values_of_landscapes.size() != land2.values_of_landscapes.size() )return false; - if ( land1.grid_min != land2.grid_min )return false; - if ( land1.grid_max != land2.grid_max )return false; - return true; - } - - /** - * Operator +=. The second parameter is persistnece landwscape. - **/ - Persistence_landscape_on_grid operator += ( const Persistence_landscape_on_grid& rhs ) - { - *this = *this + rhs; - return *this; - } - - /** - * Operator -=. The second parameter is persistnece landwscape. - **/ - Persistence_landscape_on_grid operator -= ( const Persistence_landscape_on_grid& rhs ) - { - *this = *this - rhs; - return *this; - } - - - /** - * Operator *=. The second parameter is a real number by which the y values of all landscape functions are multiplied. The x-values remain unchanged. - **/ - Persistence_landscape_on_grid operator *= ( double x ) - { - *this = *this*x; - return *this; - } - - /** - * Operator /=. The second parameter is a real number. - **/ - Persistence_landscape_on_grid operator /= ( double x ) - { - if ( x == 0 )throw( "In operator /=, division by 0. Program terminated." ); - *this = *this * (1/x); - return *this; - } - - /** - * An operator to compare two persistence landscapes. - **/ - bool operator == ( const Persistence_landscape_on_grid& rhs )const - { - bool dbg = true; - if ( this->values_of_landscapes.size() != rhs.values_of_landscapes.size() ) - { - if (dbg) std::cerr << "values_of_landscapes of incompatable sizes\n"; - return false; - } - if ( !almost_equal( this->grid_min , rhs.grid_min ) ) - { - if (dbg) std::cerr << "grid_min not equal\n"; - return false; - } - if ( !almost_equal(this->grid_max,rhs.grid_max ) ) - { - if (dbg) std::cerr << "grid_max not equal\n"; - return false; - } - for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) - { - for ( size_t aa = 0 ; aa != this->values_of_landscapes[i].size() ; ++aa ) - { - if ( !almost_equal( this->values_of_landscapes[i][aa] , rhs.values_of_landscapes[i][aa] ) ) - { - if (dbg) - { - std::cerr << "Problem in the position : " << i << " of values_of_landscapes. \n"; - std::cerr << this->values_of_landscapes[i][aa] << " " << rhs.values_of_landscapes[i][aa] << std::endl; - } - return false; - } - } - } - return true; - } - - - /** - * An operator to compare two persistence landscapes. - **/ - bool operator != ( const Persistence_landscape_on_grid& rhs )const - { - return !((*this) == rhs); - } - - - /** - * Computations of maximum (y) value of landscape. - **/ - double compute_maximum()const - { - //since the function can only be entirely positive or negative, the maximal value will be an extremal value in the arrays: - double max_value = -std::numeric_limits::max(); - for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) - { - if ( this->values_of_landscapes[i].size() ) - { - if ( this->values_of_landscapes[i][0] > max_value )max_value = this->values_of_landscapes[i][0]; - if ( this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ] > max_value )max_value = this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ]; - } - } - return max_value; - } - - /** - * Computations of minimum and maximum value of landscape. - **/ - std::pair compute_minimum_maximum()const - { - //since the function can only be entirely positive or negative, the maximal value will be an extremal value in the arrays: - double max_value = -std::numeric_limits::max(); - double min_value = 0; - for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) - { - if ( this->values_of_landscapes[i].size() ) - { - if ( this->values_of_landscapes[i][0] > max_value )max_value = this->values_of_landscapes[i][0]; - if ( this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ] > max_value )max_value = this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ]; - - if ( this->values_of_landscapes[i][0] < min_value )min_value = this->values_of_landscapes[i][0]; - if ( this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ] < min_value )min_value = this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ]; - } - } - return std::make_pair(min_value , max_value); - } - - /** - * This procedure returns x-range of a given level persistence landscape. If a default value is used, the x-range - * of 0th level landscape is given (and this range contains the ranges of all other landscapes). - **/ - std::pair< double , double > get_x_range( size_t level = 0 )const - { - return std::make_pair( this->grid_min , this->grid_max ); - //std::pair< double , double > result; - //if ( level < this->land.size() ) - //{ - // double dx = (this->grid_max - this->grid_min)/(double)this->values_of_landscapes.size(); - // size_t first_nonzero = 0; - // while ( (first_nonzero != this->values_of_landscapes.size()) && (this->values_of_landscapes[level][first_nonzero] == 0) )++first_nonzero; - // - // if ( first_nonzero == 0 ) - // { - // return std::make_pair( 0,0 );//this landscape is empty. - // } - // - // size_t last_nonzero = 0; - // while ( (last_nonzero != 0) && (this->values_of_landscapes[level][last_nonzero] == 0) )--last_nonzero; - // - // result = std::make_pair( this->grid_min +first_nonzero*dx , this->grid_max - last_nonzero*dx ); - //} - //else - //{ - // result = std::make_pair( 0,0 ); - //} - //return result; - } - - /** - * This procedure returns y-range of a persistence landscape. If a default value is used, the y-range - * of 0th level landscape is given (and this range contains the ranges of all other landscapes). - **/ - std::pair< double , double > get_y_range( size_t level = 0 )const - { - return this->compute_minimum_maximum(); - //std::pair< double , double > result; - //if ( level < this->land.size() ) - //{ - // result = this->compute_minimum_maximum() - //} - //else - //{ - // result = std::make_pair( 0,0 ); - //} - //return result; - } - - /** - * This function computes maximal lambda for which lambda-level landscape is nonzero. - **/ - size_t number_of_nonzero_levels()const - { - size_t result = 0; - for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) - { - if ( this->values_of_landscapes[i].size() > result )result = this->values_of_landscapes[i].size(); - } - return result; - } - - /** - * Computations of a \f$L^i\f$ norm of landscape, where i is the input parameter. - **/ - double compute_norm_of_landscape( double i )const - { - std::vector< std::pair< double , double > > p; - Persistence_landscape_on_grid l(p,this->grid_min,this->grid_max,this->values_of_landscapes.size()-1); - - if ( i < std::numeric_limits::max() ) - { - return compute_distance_of_landscapes_on_grid(*this,l,i); - } - else - { - return compute_max_norm_distance_of_landscapes(*this,l); - } - } - - /** - * An operator to compute the value of a landscape in the level 'level' at the argument 'x'. - **/ - double operator()(unsigned level,double x)const{return this->compute_value_at_a_given_point(level,x);} - - /** - * Computations of \f$L^{\infty}\f$ distance between two landscapes. - **/ - friend double compute_max_norm_distance_of_landscapes( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second ); - //friend double compute_max_norm_distance_of_landscapes( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second , unsigned& nrOfLand , double&x , double& y1, double& y2 ); - - - - - /** - * Function to compute absolute value of a PL function. The representation of persistence landscapes allow to store general PL-function. When computing distance betwen two landscapes, we compute difference between - * them. In this case, a general PL-function with negative value can appear as a result. Then in order to compute distance, we need to take its absolute value. This is the purpose of this procedure. - **/ - void abs() - { - for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) - { - for ( size_t j = 0 ; j != this->values_of_landscapes[i].size() ; ++j ) - { - this->values_of_landscapes[i][j] = std::abs( this->values_of_landscapes[i][j] ); - } - } - } - - /** - * Computes the number of landscape functions. - **/ - size_t size()const{return this->number_of_nonzero_levels(); } - - /** - * Computate maximal value of lambda-level landscape. - **/ - double find_max( unsigned lambda )const - { - double max_value = -std::numeric_limits::max(); - for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) - { - if ( this->values_of_landscapes[i].size() > lambda ) - { - if ( this->values_of_landscapes[i][lambda] > max_value )max_value = this->values_of_landscapes[i][lambda]; - } - } - return max_value; - } - - /** - * Function to compute inner (scalar) product of two landscapes. - **/ - friend double compute_inner_product( const Persistence_landscape_on_grid& l1 , const Persistence_landscape_on_grid& l2 ) - { - if ( !check_if_defined_on_the_same_domain(l1,l2) )throw "Landscapes are not defined on the same grid, the program will now terminate"; - size_t maximal_level = l1.number_of_nonzero_levels(); - double result = 0; - for ( size_t i = 0 ; i != maximal_level ; ++i ) - { - result += compute_inner_product(l1,l2,i); - } - return result; - } - - - - /** - * Function to compute inner (scalar) product of given levels of two landscapes. - **/ - friend double compute_inner_product( const Persistence_landscape_on_grid& l1 , const Persistence_landscape_on_grid& l2 , size_t level ) - { - bool dbg = false; - - if ( !check_if_defined_on_the_same_domain(l1,l2) )throw "Landscapes are not defined on the same grid, the program will now terminate"; - double result = 0; - - double dx = (l1.grid_max - l1.grid_min)/(double)(l1.values_of_landscapes.size()-1); - - double previous_x = l1.grid_min-dx; - double previous_y_l1 = 0; - double previous_y_l2 = 0; - for ( size_t i = 0 ; i != l1.values_of_landscapes.size() ; ++i ) - { - if ( dbg )std::cerr << "i : " << i << std::endl; - - double current_x = previous_x + dx; - double current_y_l1 = 0; - if ( l1.values_of_landscapes[i].size() > level )current_y_l1 = l1.values_of_landscapes[i][level]; - - double current_y_l2 = 0; - if ( l2.values_of_landscapes[i].size() > level )current_y_l2 = l2.values_of_landscapes[i][level]; - - if ( dbg ) - { - std::cerr << "previous_x : " << previous_x << std::endl; - std::cerr << "previous_y_l1 : " << previous_y_l1 << std::endl; - std::cerr << "current_y_l1 : " << current_y_l1 << std::endl; - std::cerr << "previous_y_l2 : " << previous_y_l2 << std::endl; - std::cerr << "current_y_l2 : " << current_y_l2 << std::endl; - } - - std::pair l1_coords = compute_parameters_of_a_line( std::make_pair( previous_x , previous_y_l1 ) , std::make_pair( current_x , current_y_l1 ) ); - std::pair l2_coords = compute_parameters_of_a_line( std::make_pair( previous_x , previous_y_l2 ) , std::make_pair( current_x , current_y_l2 ) ); - - //let us assume that the first line is of a form y = ax+b, and the second one is of a form y = cx + d. Then here are a,b,c,d: - double a = l1_coords.first; - double b = l1_coords.second; - - double c = l2_coords.first; - double d = l2_coords.second; - - if ( dbg ) - { - std::cerr << "Here are the formulas for a line: \n"; - std::cerr << "a : " << a << std::endl; - std::cerr << "b : " << b << std::endl; - std::cerr << "c : " << c << std::endl; - std::cerr << "d : " << d << std::endl; - } - - //now, to compute the inner product in this interval we need to compute the integral of (ax+b)(cx+d) = acx^2 + (ad+bc)x + bd in the interval from previous_x to current_x: - //The integal is ac/3*x^3 + (ac+bd)/2*x^2 + bd*x - - double added_value = (a*c/3*current_x*current_x*current_x + (a*d+b*c)/2*current_x*current_x + b*d*current_x)- - (a*c/3*previous_x*previous_x*previous_x + (a*d+b*c)/2*previous_x*previous_x + b*d*previous_x); - - if ( dbg ) - { - std::cerr << "Value of the integral on the left end ie : " << previous_x << " is : " << a*c/3*previous_x*previous_x*previous_x + (a*d+b*c)/2*previous_x*previous_x + b*d*previous_x << std::endl; - std::cerr << "Value of the integral on the right end i.e. : " << current_x << " is " << a*c/3*current_x*current_x*current_x + (a*d+b*c)/2*current_x*current_x + b*d*current_x << std::endl; - } - - result += added_value; - - if ( dbg ) - { - std::cerr << "added_value : " << added_value << std::endl; - std::cerr << "result : " << result << std::endl; - getchar(); - } - - - previous_x = current_x; - previous_y_l1 = current_y_l1; - previous_y_l2 = current_y_l2; - - } - return result; - } - - - /** - * Computations of \f$L^{p}\f$ distance between two landscapes on a grid. p is the parameter of the procedure. - * FIXME: Note that, due to the grid representation, the method below may give non--accurate results in case when the landscape P and Q the difference of which we want to compute - * are interxsecting. This is a consequence of a general way they are computed. In the future, an integral of absolute value of a difference of P and Q will be given as a separated - * function to fix that inaccuracy. - **/ - friend double compute_distance_of_landscapes_on_grid( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second , double p ) - { - bool dbg = false; - //This is what we want to compute: (\int_{- \infty}^{+\infty}| first-second |^p)^(1/p). We will do it one step at a time: - - if ( dbg ) - { - std::cerr << "first : " << first << std::endl; - std::cerr << "second : " << second << std::endl; - getchar(); - } - - //first-second : - Persistence_landscape_on_grid lan = first-second; - - if ( dbg ) - { - std::cerr << "Difference : " << lan << std::endl; - } - - //| first-second |: - lan.abs(); - - if ( dbg ) - { - std::cerr << "Abs : " << lan << std::endl; - } - - if ( p < std::numeric_limits< double >::max() ) - { - //\int_{- \infty}^{+\infty}| first-second |^p - double result; - if ( p != 1 ) - { - if (dbg){std::cerr << "p : " << p << std::endl; getchar();} - result = lan.compute_integral_of_landscape( (double)p ); - if (dbg){std::cerr << "integral : " << result << std::endl;getchar();} - } - else - { - result = lan.compute_integral_of_landscape(); - if (dbg){std::cerr << "integral, wihtout power : " << result << std::endl;getchar();} - } - //(\int_{- \infty}^{+\infty}| first-second |^p)^(1/p) - return pow( result , 1/(double)p ); - } - else - { - //p == infty - return lan.compute_maximum(); - } - } - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - //Functions that are needed for that class to implement the concept. - - /** - * The number of projections to R is defined to the number of nonzero landscape functions. I-th projection is an integral of i-th landscape function over whole R. - * This function is required by the Real_valued_topological_data concept. - **/ - double project_to_R( int number_of_function )const - { - return this->compute_integral_of_landscape( (size_t)number_of_function ); - } - - /** - * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. - **/ - size_t number_of_projections_to_R()const - { - return number_of_functions_for_projections_to_reals; - } - - - - - /** - * This function produce a vector of doubles based on a landscape. It is required in a concept Vectorized_topological_data - */ - std::vector vectorize( int number_of_function )const - { - //TODO, think of something smarter over here - if ( ( number_of_function < 0 ) || ( (size_t)number_of_function >= this->values_of_landscapes.size() ) ) - { - throw "Wrong number of function\n"; - } - std::vector v( this->values_of_landscapes.size() ); - for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) - { - v[i] = 0; - if ( this->values_of_landscapes[i].size() > (size_t)number_of_function ) - { - v[ i ] = this->values_of_landscapes[i][number_of_function]; - } - } - return v; - } - - /** - * This function return the number of functions that allows vectorization of persistence laandscape. It is required in a concept Vectorized_topological_data. - **/ - size_t number_of_vectorize_functions()const - { - return number_of_functions_for_vectorization; - } - - - - - - /** - * A function to compute averaged persistence landscape on a grid, based on vector of persistence landscapes on grid. - * This function is required by Topological_data_with_averages concept. - **/ - void compute_average( const std::vector< Persistence_landscape_on_grid* >& to_average ) - { - - bool dbg = false; - //After execution of this procedure, the average is supposed to be in the current object. To make sure that this is the case, we need to do some cleaning first. - this->values_of_landscapes .clear(); - this->grid_min = this->grid_max = 0; - - //if there is nothing to averate, then the average is a zero landscape. - if ( to_average.size() == 0 )return; - - //now we need to check if the grids in all objects of to_average are the same: - for ( size_t i = 0 ; i != to_average.size() ; ++i ) - { - if ( !check_if_defined_on_the_same_domain(*(to_average[0]),*(to_average[i])) )throw "Two grids are not compatible"; - } - - this->values_of_landscapes = std::vector< std::vector >( (to_average[0])->values_of_landscapes.size() ); - this->grid_min = (to_average[0])->grid_min; - this->grid_max = (to_average[0])->grid_max; - - if ( dbg ) - { - std::cerr << "Computations of average. The data from the current landscape have been cleared. We are ready to do the computations. \n"; - } - - //for every point in the grid: - for ( size_t grid_point = 0 ; grid_point != (to_average[0])->values_of_landscapes.size() ; ++grid_point ) - { - - //set up a vector of the correct size: - size_t maximal_size_of_vector = 0; - for ( size_t land_no = 0 ; land_no != to_average.size() ; ++land_no ) - { - if ( (to_average[land_no])->values_of_landscapes[grid_point].size() > maximal_size_of_vector ) - maximal_size_of_vector = (to_average[land_no])->values_of_landscapes[grid_point].size(); - } - this->values_of_landscapes[grid_point] = std::vector( maximal_size_of_vector ); - - if ( dbg ) - { - std::cerr << "We are considering the point : " << grid_point << " of the grid. In this point, there are at most : " << maximal_size_of_vector << " nonzero landscape functions \n"; - } - - //and compute an arythmetic average: - for ( size_t land_no = 0 ; land_no != to_average.size() ; ++land_no ) - { - //summing: - for ( size_t i = 0 ; i != (to_average[land_no])->values_of_landscapes[grid_point].size() ; ++i ) - { - //compute the average in a smarter way. - this->values_of_landscapes[grid_point][i] += (to_average[land_no])->values_of_landscapes[grid_point][i]; - } - } - //normalizing: - for ( size_t i = 0 ; i != this->values_of_landscapes[grid_point].size() ; ++i ) - { - this->values_of_landscapes[grid_point][i] /= (double)to_average.size(); - } - } - }//compute_average - - - /** - * A function to compute distance between persistence landscape on a grid. - * The parameter of this functionis a Persistence_landscape_on_grid. - * This function is required in Topological_data_with_distances concept. - * For max norm distance, set power to std::numeric_limits::max() - **/ - double distance( const Persistence_landscape_on_grid& second , double power = 1 )const - { - if ( power < std::numeric_limits::max() ) - { - return compute_distance_of_landscapes_on_grid( *this , second , power ); - } - else - { - return compute_max_norm_distance_of_landscapes( *this , second ); - } - } - - /** - * A function to compute scalar product of persistence landscape on a grid. - * The parameter of this functionis a Persistence_landscape_on_grid. - * This function is required in Topological_data_with_scalar_product concept. - **/ - double compute_scalar_product( const Persistence_landscape_on_grid& second ) - { - return compute_inner_product( (*this) , second ); - } - - //end of implementation of functions needed for concepts. - - - - - - - - - - - - - - - - - - - - - /** - * A function that returns values of landsapes. It can be used for vizualization - **/ - std::vector< std::vector< double > > output_for_visualization()const - { - return this->values_of_landscapes; - } - - /** - * function used to create a gnuplot script for visualization of landscapes. Over here we need to specify which landscapes do we want to plot. - * In addition, the user may specify the range (min and max) where landscape is plot. The fefault values for min and max are std::numeric_limits::max(). If the procedure detect those - * values, it will determine the range so that the whole landscape is supported there. If at least one min or max value is different from std::numeric_limits::max(), then the values - * provided by the user will be used. - **/ - void plot( const char* filename , size_t from_ , size_t to_ )const - { - this->plot( filename , std::numeric_limits::max() , std::numeric_limits::max(), std::numeric_limits::max() , std::numeric_limits::max() , from_ , to_ ); - } - - /** - * function used to create a gnuplot script for visualization of landscapes. Over here we can restrict also x and y range of the landscape. - **/ - void plot( const char* filename, double min_x = std::numeric_limits::max() , double max_x = std::numeric_limits::max() , double min_y = std::numeric_limits::max() , double max_y = std::numeric_limits::max() , size_t from_ = std::numeric_limits::max(), size_t to_= std::numeric_limits::max() )const; - - -protected: - double grid_min; - double grid_max; - std::vector< std::vector< double > > values_of_landscapes; - size_t number_of_functions_for_vectorization; - size_t number_of_functions_for_projections_to_reals; - - void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() - { - //warning, this function can be only called after filling in the values_of_landscapes vector. - this->number_of_functions_for_vectorization = this->values_of_landscapes.size(); - this->number_of_functions_for_projections_to_reals = this->values_of_landscapes.size(); - } - void set_up_values_of_landscapes( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_ , unsigned number_of_levels = std::numeric_limits::max() ); - Persistence_landscape_on_grid multiply_lanscape_by_real_number_not_overwrite( double x )const; -}; - - -void Persistence_landscape_on_grid::set_up_values_of_landscapes( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_, unsigned number_of_levels ) -{ - bool dbg = false; - if ( dbg ) - { - std::cerr << "Here is the procedure : set_up_values_of_landscapes. The parameters are : grid_min_ : " << grid_min_ << ", grid_max_ : " << grid_max_ << ", number_of_points_ : " << number_of_points_ << ", number_of_levels: " << number_of_levels << std::endl; - std::cerr << "Here are the intervals at our disposal : \n"; - for ( size_t i = 0 ; i != p.size() ; ++i ) - { - std::cerr << p[i].first << " , " << p[i].second << std::endl; - } - } - - if ( (grid_min_ == std::numeric_limits::max()) || (grid_max_ == std::numeric_limits::max()) ) - { - //in this case, we need to find grid_min_ and grid_min_ based on the data. - double min = std::numeric_limits::max(); - double max = std::numeric_limits::min(); - for ( size_t i = 0 ; i != p.size() ; ++i ) - { - if ( p[i].first < min )min = p[i].first; - if ( p[i].second > max )max = p[i].second; - } - if ( grid_min_ == std::numeric_limits::max() ) - { - grid_min_ = min; - } - else - { - //in this case grid_max_ == std::numeric_limits::max() - grid_max_ = max; - } - } - - //if number_of_levels == std::numeric_limits::max(), then we will have all the nonzero values of landscapes, and will store them in a vector - //if number_of_levels != std::numeric_limits::max(), then we will use those vectors as heaps. - this->values_of_landscapes = std::vector< std::vector< double > >( number_of_points_+1 ); - - - this->grid_min = grid_min_; - this->grid_max = grid_max_; - - if ( grid_max_ <= grid_min_ ) - { - throw "Wrong parameters of grid_min and grid_max given to the procedure. THe grid have negative, or zero size. The program will now terminate.\n"; - } - - double dx = ( grid_max_ - grid_min_ )/(double)(number_of_points_); - //for every interval in the diagram: - for ( size_t int_no = 0 ; int_no != p.size() ; ++int_no ) - { - size_t grid_interval_begin = (p[int_no].first-grid_min_)/dx; - size_t grid_interval_end = (p[int_no].second-grid_min_)/dx; - size_t grid_interval_midpoint = (size_t)(0.5*(grid_interval_begin+grid_interval_end)); - - if ( dbg ) - { - std::cerr << "Considering an interval : " << p[int_no].first << "," << p[int_no].second << std::endl; - - std::cerr << "grid_interval_begin : " << grid_interval_begin << std::endl; - std::cerr << "grid_interval_end : " << grid_interval_end << std::endl; - std::cerr << "grid_interval_midpoint : " << grid_interval_midpoint << std::endl; - } - - double landscape_value = dx; - for ( size_t i = grid_interval_begin+1 ; i < grid_interval_midpoint ; ++i ) - { - if ( dbg ) - { - std::cerr << "Adding landscape value (going up) for a point : " << i << " equal : " << landscape_value << std::endl; - } - if ( number_of_levels != std::numeric_limits::max() ) - { - //we have a heap of no more that number_of_levels values. - //Note that if we are using heaps, we want to know the shortest distance in the heap. - //This is achieved by putting -distance to the heap. - if ( this->values_of_landscapes[i].size() >= number_of_levels ) - { - //in this case, the full heap is build, and we need to check if the landscape_value is not larger than the smallest element in the heap. - if ( -landscape_value < this->values_of_landscapes[i].front() ) - { - //if it is, we remove the largest value in the heap, and move on. - std::pop_heap (this->values_of_landscapes[i].begin(),this->values_of_landscapes[i].end()); - this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ] = -landscape_value; - std::push_heap (this->values_of_landscapes[i].begin(),this->values_of_landscapes[i].end()); - } - } - else - { - - //in this case we are still filling in the array. - this->values_of_landscapes[i].push_back( -landscape_value ); - if ( this->values_of_landscapes[i].size() == number_of_levels-1 ) - { - //this->values_of_landscapes[i].size() == number_of_levels - //in this case we need to create the heep. - std::make_heap (this->values_of_landscapes[i].begin(),this->values_of_landscapes[i].end()); - } - } - } - else - { - //we have vector of all values - this->values_of_landscapes[i].push_back( landscape_value ); - } - landscape_value += dx; - } - for ( size_t i = grid_interval_midpoint ; i <= grid_interval_end ; ++i ) - { - if ( landscape_value > 0 ) - { - if ( number_of_levels != std::numeric_limits< unsigned >::max() ) - { - //we have a heap of no more that number_of_levels values - if ( this->values_of_landscapes[i].size() >= number_of_levels ) - { - //in this case, the full heap is build, and we need to check if the landscape_value is not larger than the smallest element in the heap. - if ( -landscape_value < this->values_of_landscapes[i].front() ) - { - //if it is, we remove the largest value in the heap, and move on. - std::pop_heap (this->values_of_landscapes[i].begin(),this->values_of_landscapes[i].end()); - this->values_of_landscapes[i][ this->values_of_landscapes[i].size()-1 ] = -landscape_value; - std::push_heap (this->values_of_landscapes[i].begin(),this->values_of_landscapes[i].end()); - } - } - else - { - - //in this case we are still filling in the array. - this->values_of_landscapes[i].push_back( -landscape_value ); - if ( this->values_of_landscapes[i].size() == number_of_levels-1 ) - { - //this->values_of_landscapes[i].size() == number_of_levels - //in this case we need to create the heep. - std::make_heap (this->values_of_landscapes[i].begin(),this->values_of_landscapes[i].end()); - } - } - } - else - { - this->values_of_landscapes[i].push_back( landscape_value ); - } - - - if ( dbg ) - { - std::cerr << "AAdding landscape value (going down) for a point : " << i << " equal : " << landscape_value << std::endl; - } - } - landscape_value -= dx; - } - } - - if ( number_of_levels != std::numeric_limits< unsigned >::max() ) - { - //in this case, vectors are used as heaps. And, since we want to have the smallest element at the top of - //each heap, we store mminus distances. To get if right at the end, we need to multiply each value - //in the heap by -1 to get real vector of distances. - for ( size_t pt = 0 ; pt != this->values_of_landscapes.size() ; ++pt ) - { - //std::cerr << this->values_of_landscapes[pt].size() <values_of_landscapes[pt].size() ; ++j ) - { - this->values_of_landscapes[pt][j] *= -1; - } - } - } - - //and now we need to sort the values: - for ( size_t pt = 0 ; pt != this->values_of_landscapes.size() ; ++pt ) - { - std::sort( this->values_of_landscapes[pt].begin() , this->values_of_landscapes[pt].end() , std::greater() ); - } -}//set_up_values_of_landscapes - - - -Persistence_landscape_on_grid::Persistence_landscape_on_grid( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_ ) -{ - this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ ); -}//Persistence_landscape_on_grid - - -Persistence_landscape_on_grid::Persistence_landscape_on_grid( const std::vector< std::pair< double , double > >& p , double grid_min_ , double grid_max_ , size_t number_of_points_ , unsigned number_of_levels_of_landscape ) -{ - this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ , number_of_levels_of_landscape ); -} - - -Persistence_landscape_on_grid::Persistence_landscape_on_grid(const char* filename , double grid_min_, double grid_max_ , size_t number_of_points_ , unsigned short dimension ) -{ - std::vector< std::pair< double , double > > p; - if ( dimension == std::numeric_limits::max() ) - { - p = read_persistence_intervals_in_one_dimension_from_file( filename ); - } - else - { - p = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); - } - this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ ); -} - -Persistence_landscape_on_grid::Persistence_landscape_on_grid(const char* filename , double grid_min_, double grid_max_ , size_t number_of_points_, unsigned number_of_levels_of_landscape, unsigned short dimension ) -{ - std::vector< std::pair< double , double > > p; - if ( dimension == std::numeric_limits::max() ) - { - p = read_persistence_intervals_in_one_dimension_from_file( filename ); - } - else - { - p = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); - } - this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ , number_of_levels_of_landscape ); -} - -Persistence_landscape_on_grid::Persistence_landscape_on_grid(const char* filename , size_t number_of_points_ , unsigned short dimension ) -{ - std::vector< std::pair< double , double > > p; - if ( dimension == std::numeric_limits::max() ) - { - p = read_persistence_intervals_in_one_dimension_from_file( filename ); - } - else - { - p = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); - } - double grid_min_ = std::numeric_limits::max(); - double grid_max_ = -std::numeric_limits::max(); - for ( size_t i = 0 ; i != p.size() ; ++i ) - { - if ( p[i].first < grid_min_ )grid_min_ = p[i].first; - if ( p[i].second > grid_max_ )grid_max_ = p[i].second; - } - this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ ); -} - -Persistence_landscape_on_grid::Persistence_landscape_on_grid(const char* filename , size_t number_of_points_ , unsigned number_of_levels_of_landscape , unsigned short dimension ) -{ - std::vector< std::pair< double , double > > p; - if ( dimension == std::numeric_limits::max() ) - { - p = read_persistence_intervals_in_one_dimension_from_file( filename ); - } - else - { - p = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); - } - double grid_min_ = std::numeric_limits::max(); - double grid_max_ = -std::numeric_limits::max(); - for ( size_t i = 0 ; i != p.size() ; ++i ) - { - if ( p[i].first < grid_min_ )grid_min_ = p[i].first; - if ( p[i].second > grid_max_ )grid_max_ = p[i].second; - } - this->set_up_values_of_landscapes( p , grid_min_ , grid_max_ , number_of_points_ , number_of_levels_of_landscape ); -} - - -void Persistence_landscape_on_grid::load_landscape_from_file( const char* filename ) -{ - std::ifstream in; - in.open( filename ); - //check if the file exist. - if ( !in.good() ) - { - std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; - throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; - } - - size_t number_of_points_in_the_grid = 0; - in >> this->grid_min >> this->grid_max >> number_of_points_in_the_grid; - - std::vector< std::vector< double > > v(number_of_points_in_the_grid); - std::string line; - std::getline(in, line); - double number; - for ( size_t i = 0 ; i != number_of_points_in_the_grid ; ++i ) - { - //read a line of a file and convert it to a vector. - std::vector< double > vv; - std::getline(in, line); - //std::cerr << "Reading line : " << line << std::endl;getchar(); - std::istringstream stream(line); - while (stream >> number) - { - vv.push_back(number); - } - v[i] = vv; - } - this->values_of_landscapes = v; - in.close(); -} - -void Persistence_landscape_on_grid::print_to_file( const char* filename )const -{ - std::ofstream out; - out.open( filename ); - - //first we store the parameters of the grid: - out << grid_min << std::endl << grid_max << std::endl << this->values_of_landscapes.size() << std::endl; - - //and now in the following lines, the values of this->values_of_landscapes for the following arguments: - for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) - { - for ( size_t j = 0 ; j != this->values_of_landscapes[i].size() ; ++j ) - { - out << this->values_of_landscapes[i][j] << " "; - } - out << std::endl; - } - - out.close(); -} - -void Persistence_landscape_on_grid::plot( const char* filename, double min_x , double max_x , double min_y , double max_y, size_t from_ , size_t to_ )const -{ - //this program create a gnuplot script file that allows to plot persistence diagram. - std::ofstream out; - - std::ostringstream nameSS; - nameSS << filename << "_GnuplotScript"; - std::string nameStr = nameSS.str(); - out.open( nameStr ); - - if ( min_x == max_x ) - { - std::pair min_max = compute_minimum_maximum(); - out << "set xrange [" << this->grid_min << " : " << this->grid_max << "]" << std::endl; - out << "set yrange [" << min_max.first << " : " << min_max.second << "]" << std::endl; - } - else - { - out << "set xrange [" << min_x << " : " << max_x << "]" << std::endl; - out << "set yrange [" << min_y << " : " << max_y << "]" << std::endl; - } - - size_t number_of_nonzero_levels = this->number_of_nonzero_levels(); - double dx = ( this->grid_max - this->grid_min )/((double)this->values_of_landscapes.size()-1); - - - size_t from = 0; - if ( from_ != std::numeric_limits::max() ) - { - if ( from_ < number_of_nonzero_levels ) - { - from = from_; - } - else - { - return; - } - } - size_t to = number_of_nonzero_levels; - if ( to_ != std::numeric_limits::max() ) - { - if ( to_ < number_of_nonzero_levels ) - { - to = to_; - } - } - - - out << "plot "; - for ( size_t lambda= from ; lambda != to ; ++lambda ) - { - //out << " '-' using 1:2 title 'l" << lambda << "' with lp"; - out << " '-' using 1:2 notitle with lp"; - if ( lambda+1 != to ) - { - out << ", \\"; - } - out << std::endl; - } - - for ( size_t lambda = from ; lambda != to ; ++lambda ) - { - double point = this->grid_min; - for ( size_t i = 0 ; i != this->values_of_landscapes.size() ; ++i ) - { - double value = 0; - if ( this->values_of_landscapes[i].size() > lambda ) - { - value = this->values_of_landscapes[i][lambda]; - } - out << point << " " << value << std::endl; - point += dx; - } - out << "EOF" << std::endl; - } - std::cout << "Gnuplot script to visualize persistence diagram written to the file: " << nameStr << ". Type load '" << nameStr << "' in gnuplot to visualize." << std::endl; -} - -template < typename T > -Persistence_landscape_on_grid operation_on_pair_of_landscapes_on_grid ( const Persistence_landscape_on_grid& land1 , const Persistence_landscape_on_grid& land2 ) -{ - //first we need to check if the domains are the same: - if ( !check_if_defined_on_the_same_domain(land1,land2) )throw "Two grids are not compatible"; - - T oper; - Persistence_landscape_on_grid result; - result.values_of_landscapes = std::vector< std::vector< double > >( land1.values_of_landscapes.size() ); - result.grid_min = land1.grid_min; - result.grid_max = land1.grid_max; - - //now we perorm the operations: - for ( size_t grid_point = 0 ; grid_point != land1.values_of_landscapes.size() ; ++grid_point ) - { - result.values_of_landscapes[grid_point] = std::vector< double >( std::max( land1.values_of_landscapes[grid_point].size() , land2.values_of_landscapes[grid_point].size() ) ); - for ( size_t lambda = 0 ; lambda != std::max( land1.values_of_landscapes[grid_point].size() , land2.values_of_landscapes[grid_point].size() ) ; ++lambda ) - { - double value1 = 0; - double value2 = 0; - if ( lambda < land1.values_of_landscapes[grid_point].size() )value1 = land1.values_of_landscapes[grid_point][lambda]; - if ( lambda < land2.values_of_landscapes[grid_point].size() )value2 = land2.values_of_landscapes[grid_point][lambda]; - result.values_of_landscapes[grid_point][lambda] = oper( value1 , value2 ); - } - } - - return result; -} - -Persistence_landscape_on_grid Persistence_landscape_on_grid::multiply_lanscape_by_real_number_not_overwrite( double x )const -{ - Persistence_landscape_on_grid result; - result.values_of_landscapes = std::vector< std::vector< double > >( this->values_of_landscapes.size() ); - result.grid_min = this->grid_min; - result.grid_max = this->grid_max; - - for ( size_t grid_point = 0 ; grid_point != this->values_of_landscapes.size() ; ++grid_point ) - { - result.values_of_landscapes[grid_point] = std::vector< double >( this->values_of_landscapes[grid_point].size() ); - for ( size_t i = 0 ; i != this->values_of_landscapes[grid_point].size() ; ++i ) - { - result.values_of_landscapes[grid_point][i] = x*this->values_of_landscapes[grid_point][i]; - } - } - - return result; -} - -double compute_max_norm_distance_of_landscapes( const Persistence_landscape_on_grid& first, const Persistence_landscape_on_grid& second ) -{ - double result = 0; - - //first we need to check if first and second is defined on the same domain" - if ( !check_if_defined_on_the_same_domain(first, second) )throw "Two grids are not compatible"; - - for ( size_t i = 0 ; i != first.values_of_landscapes.size() ; ++i ) - { - for ( size_t j = 0 ; j != std::min( first.values_of_landscapes[i].size() , second.values_of_landscapes[i].size() ) ; ++j ) - { - if ( result < abs( first.values_of_landscapes[i][j] - second.values_of_landscapes[i][j] ) ) - { - result = abs( first.values_of_landscapes[i][j] - second.values_of_landscapes[i][j] ); - } - } - if ( first.values_of_landscapes[i].size() == std::min( first.values_of_landscapes[i].size() , second.values_of_landscapes[i].size() ) ) - { - for ( size_t j = first.values_of_landscapes[i].size() ; j != second.values_of_landscapes[i].size() ; ++j ) - { - if ( result < second.values_of_landscapes[i][j] )result = second.values_of_landscapes[i][j]; - } - } - if ( second.values_of_landscapes[i].size() == std::min( first.values_of_landscapes[i].size() , second.values_of_landscapes[i].size() ) ) - { - for ( size_t j = second.values_of_landscapes[i].size() ; j != first.values_of_landscapes[i].size() ; ++j ) - { - if ( result < first.values_of_landscapes[i][j] )result = first.values_of_landscapes[i][j]; - } - } - } - return result; -} - - - -}//namespace Gudhi_stat -}//namespace Gudhi - -#endif diff --git a/src/Gudhi_stat/include/gudhi/persistence_representations/persistence_vectors.h b/src/Gudhi_stat/include/gudhi/persistence_representations/persistence_vectors.h deleted file mode 100644 index d56f92c4..00000000 --- a/src/Gudhi_stat/include/gudhi/persistence_representations/persistence_vectors.h +++ /dev/null @@ -1,775 +0,0 @@ -/* 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 . - */ - - -#ifndef Vector_distances_in_diagram_H -#define Vector_distances_in_diagram_H - -#include -#include -#include -#include -#include - -//gudhi include -#include -#include -#include - - -namespace Gudhi -{ -namespace Gudhi_stat -{ - -/* -template -struct Euclidean_distance -{ - double operator() ( const std::pair< T,T >& f , const std::pair& s ) - { - return sqrt( (f.first-s.first)*(f.first-s.first) + (f.second-s.second)*(f.second-s.second) ); - } - double operator() ( const std::vector< T >& f , const std::vector < T >& s ) - { - if ( f.size() != s.size() ) - { - std::cerr << "Not compatible points dimensions in the procedure to compute Euclidean distance. The program will now terminate. \n"; - std::cout << f.size() << " , " << s.size() << std::endl; - throw "Not compatible points dimensions in the procedure to compute Euclidean distance. The program will now terminate. \n"; - } - double result = 0; - for ( size_t i = 0 ; i != f.size() ; ++i ) - { - result += ( f[i]-s[i] )*( f[i]-s[i] ); - } - return sqrt( result ); - } -}; -* */ - -template -struct Maximum_distance -{ - double operator() ( const std::pair< T,T >& f , const std::pair& s ) - { - return std::max( fabs( f.first - s.first ) , fabs( f.second - s.second ) ); - } -}; - - - - -/** -* This is an implementation of idea presented in the paper 'Stable Topological Signatures for Points on 3D Shapes' by -* M. Carriere, S. Y. Oudot and M. Ovsjanikov published in Computer Graphics Forum (proc. SGP 2015). -* The parameter of the class is the class that computes distance used to construct the vectors. The typical function is -* either Eucludean of maximum (Manhattan) distance. -* This class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product -* -**/ - -template -class Vector_distances_in_diagram -{ -public: - /** - * The default constructor. - **/ - Vector_distances_in_diagram(){}; - - /** - * The constructor that takes as an input a multiset of persistence intervals (given as vector of birth-death pairs). The second parameter is the desiered length of the output vectors. - **/ - Vector_distances_in_diagram( const std::vector< std::pair< double , double > >& intervals , size_t where_to_cut ); - - /** - * The constructor taking as an input a file with birth-death pairs. The second parameter is the desiered length of the output vectors. - **/ - Vector_distances_in_diagram( const char* filename , size_t where_to_cut , unsigned dimension = std::numeric_limits::max() ); - - - /** - * Writing to a stream. - **/ - template - friend std::ostream& operator << ( std::ostream& out , const Vector_distances_in_diagram& d ) - { - for ( size_t i = 0 ; i != std::min( d.sorted_vector_of_distances.size() , d.where_to_cut) ; ++i ) - { - out << d.sorted_vector_of_distances[i] << " "; - } - return out; - } - - /** - * This procedure gives the value of a vector on a given position. - **/ - inline double vector_in_position( size_t position )const - { - if ( position >= this->sorted_vector_of_distances.size() )throw("Wrong position in accessing Vector_distances_in_diagram::sorted_vector_of_distances\n"); - return this->sorted_vector_of_distances[position]; - } - - /** - * Return a size of a vector. - **/ - inline size_t size()const{return this->sorted_vector_of_distances.size();} - - /** - * Write a vector to a file. - **/ - void write_to_file( const char* filename )const; - - /** - * Write a vector to a file. - **/ - void print_to_file( const char* filename )const - { - this->write_to_file( filename ); - } - - /** - * Loading a vector to a file. - **/ - void load_from_file( const char* filename ); - - /** - * Comparision operators: - **/ - bool operator == ( const Vector_distances_in_diagram& second )const - { - if ( this->sorted_vector_of_distances.size() != second.sorted_vector_of_distances.size() )return false; - for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) - { - if ( !almost_equal(this->sorted_vector_of_distances[i] , second.sorted_vector_of_distances[i]) )return false; - } - return true; - } - - bool operator != ( const Vector_distances_in_diagram& second )const - { - return !( *this == second ); - } - - - - - //Implementations of functions for various concepts. - /** - * Compute projection to real numbers of persistence vector. This function is required by the Real_valued_topological_data concept - **/ - double project_to_R( int number_of_function )const; - /** - * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. - **/ - size_t number_of_projections_to_R()const - { - return this->number_of_functions_for_projections_to_reals; - } - - /** - * Compute a vectorization of a persistent vectors. It is required in a concept Vectorized_topological_data. - **/ - std::vector vectorize( int number_of_function )const; - /** - * This function return the number of functions that allows vectorization of a persisence vector. It is required in a concept Vectorized_topological_data. - **/ - size_t number_of_vectorize_functions()const - { - return this->number_of_functions_for_vectorization; - } - - /** - * Compute a average of two persistent vectors. This function is required by Topological_data_with_averages concept. - **/ - void compute_average( const std::vector< Vector_distances_in_diagram* >& to_average ); - - /** - * Compute a distance of two persistent vectors. This function is required in Topological_data_with_distances concept. - * For max norm distance, set power to std::numeric_limits::max() - **/ - double distance( const Vector_distances_in_diagram& second , double power = 1)const; - - /** - * Compute a scalar product of two persistent vectors. This function is required in Topological_data_with_scalar_product concept. - **/ - double compute_scalar_product( const Vector_distances_in_diagram& second )const; - //end of implementation of functions needed for concepts. - - - - - - - - - - - - - - - - - - - /** - * For visualization use output from vectorize and build histograms. - **/ - std::vector< double > output_for_visualization()const - { - return this->sorted_vector_of_distances; - } - - - /** - * Create a gnuplot script to vizualize the data structure. - **/ - void plot( const char* filename )const - { - std::stringstream gnuplot_script; - gnuplot_script << filename << "_GnuplotScript"; - std::ofstream out; - out.open( gnuplot_script.str().c_str() ); - out << "set style data histogram" << std::endl; - out << "set style histogram cluster gap 1" << std::endl; - out << "set style fill solid border -1" << std::endl; - out << "plot '-' notitle" << std::endl; - for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) - { - out << this->sorted_vector_of_distances[i] << std::endl; - } - out < get_x_range()const - { - return std::make_pair( 0 , this->sorted_vector_of_distances.size() ); - } - - /** - * The y-range of the persistence vector. - **/ - std::pair< double , double > get_y_range()const - { - if ( this->sorted_vector_of_distances.size() == 0 )return std::make_pair(0,0); - return std::make_pair( this->sorted_vector_of_distances[0] , 0); - } - - //arythmetic operations: - template < typename Operation_type > - friend Vector_distances_in_diagram operation_on_pair_of_vectors( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second , Operation_type opertion ) - { - Vector_distances_in_diagram result; - //Operation_type operation; - result.sorted_vector_of_distances.reserve(std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ); - for ( size_t i = 0 ; i != std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) - { - result.sorted_vector_of_distances.push_back( opertion( first.sorted_vector_of_distances[i] , second.sorted_vector_of_distances[i]) ); - } - if ( first.sorted_vector_of_distances.size() == std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ) - { - for ( size_t i = std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; - i != std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) - { - result.sorted_vector_of_distances.push_back( opertion(0,second.sorted_vector_of_distances[i]) ); - } - } - else - { - for ( size_t i = std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; - i != std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) - { - result.sorted_vector_of_distances.push_back( opertion(first.sorted_vector_of_distances[i],0) ); - } - } - return result; - }//operation_on_pair_of_vectors - - /** - * This function implements an operation of multiplying Vector_distances_in_diagram by a scalar. - **/ - Vector_distances_in_diagram multiply_by_scalar( double scalar )const - { - Vector_distances_in_diagram result; - result.sorted_vector_of_distances.reserve( this->sorted_vector_of_distances.size() ); - for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) - { - result.sorted_vector_of_distances.push_back( scalar * this->sorted_vector_of_distances[i] ); - } - return result; - }//multiply_by_scalar - - - - /** - * This function computes a sum of two objects of a type Vector_distances_in_diagram. - **/ - friend Vector_distances_in_diagram operator+( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second ) - { - return operation_on_pair_of_vectors( first , second , std::plus() ); - } - /** - * This function computes a difference of two objects of a type Vector_distances_in_diagram. - **/ - friend Vector_distances_in_diagram operator-( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second ) - { - return operation_on_pair_of_vectors( first , second , std::minus() ); - } - /** - * This function computes a product of an object of a type Vector_distances_in_diagram with real number. - **/ - friend Vector_distances_in_diagram operator*( double scalar , const Vector_distances_in_diagram& A ) - { - return A.multiply_by_scalar( scalar ); - } - /** - * This function computes a product of an object of a type Vector_distances_in_diagram with real number. - **/ - friend Vector_distances_in_diagram operator*( const Vector_distances_in_diagram& A , double scalar ) - { - return A.multiply_by_scalar( scalar ); - } - /** - * This function computes a product of an object of a type Vector_distances_in_diagram with real number. - **/ - Vector_distances_in_diagram operator*( double scalar ) - { - return this->multiply_by_scalar( scalar ); - } - /** - * += operator for Vector_distances_in_diagram. - **/ - Vector_distances_in_diagram operator += ( const Vector_distances_in_diagram& rhs ) - { - *this = *this + rhs; - return *this; - } - /** - * -= operator for Vector_distances_in_diagram. - **/ - Vector_distances_in_diagram operator -= ( const Vector_distances_in_diagram& rhs ) - { - *this = *this - rhs; - return *this; - } - /** - * *= operator for Vector_distances_in_diagram. - **/ - Vector_distances_in_diagram operator *= ( double x ) - { - *this = *this*x; - return *this; - } - /** - * /= operator for Vector_distances_in_diagram. - **/ - Vector_distances_in_diagram operator /= ( double x ) - { - if ( x == 0 )throw( "In operator /=, division by 0. Program terminated." ); - *this = *this * (1/x); - return *this; - } - - -private: - std::vector< std::pair< double , double > > intervals; - std::vector< double > sorted_vector_of_distances; - size_t number_of_functions_for_vectorization; - size_t number_of_functions_for_projections_to_reals; - size_t where_to_cut; - - void compute_sorted_vector_of_distances_via_heap( size_t where_to_cut ); - void compute_sorted_vector_of_distances_via_vector_sorting( size_t where_to_cut ); - - Vector_distances_in_diagram( const std::vector< double >& sorted_vector_of_distances_ ):sorted_vector_of_distances(sorted_vector_of_distances_) - { - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); - } - - void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() - { - //warning, this function can be only called after filling in the intervals vector. - this->number_of_functions_for_vectorization = this->sorted_vector_of_distances.size(); - this->number_of_functions_for_projections_to_reals = this->sorted_vector_of_distances.size(); - } -}; - - -template -Vector_distances_in_diagram::Vector_distances_in_diagram( const std::vector< std::pair< double,double > >& intervals_ , size_t where_to_cut_ ):where_to_cut(where_to_cut_) -{ - std::vector< std::pair< double,double > > i( intervals_ ); - this->intervals = i; - //this->compute_sorted_vector_of_distances_via_heap( where_to_cut ); - this->compute_sorted_vector_of_distances_via_vector_sorting(where_to_cut); - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); -} - -template -Vector_distances_in_diagram::Vector_distances_in_diagram( const char* filename , size_t where_to_cut , unsigned dimension ):where_to_cut(where_to_cut) -{ - std::vector< std::pair< double , double > > intervals; - if ( dimension == std::numeric_limits::max() ) - { - intervals = read_persistence_intervals_in_one_dimension_from_file( filename ); - } - else - { - intervals = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); - } - this->intervals = intervals; - this->compute_sorted_vector_of_distances_via_heap( where_to_cut ); - //this->compute_sorted_vector_of_distances_via_vector_sorting( where_to_cut ); - set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); -} - -template < typename F> -void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_heap( size_t where_to_cut ) -{ - - bool dbg = false; - if ( dbg ) - { - std::cerr << "Here are the intervals : \n"; - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - std::cerr << this->intervals[i].first << " , " << this->intervals[i].second <intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size())); - - std::vector< double > heap( where_to_cut , std::numeric_limits::max() ); - std::make_heap (heap.begin(),heap.end()); - F f; - - //for every pair of points in the diagram, compute the minimum of their distance, and distance of those points from diagonal - for ( size_t i = 0 ; i < this->intervals.size() ; ++i ) - { - for ( size_t j = i+1 ; j < this->intervals.size() ; ++j ) - { - double value = std::min( - f( this->intervals[i] , this->intervals[j] ), - std::min( - f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ), - f( this->intervals[j] , std::make_pair( 0.5*(this->intervals[j].first+this->intervals[j].second) , 0.5*(this->intervals[j].first+this->intervals[j].second) ) ) - ) - ); - - if ( dbg ) - { - std::cerr << "Value : " << value <intervals.size() ; ++i ) - { - double value = f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ); - if ( -value < heap.front() ) - { - //std::cerr << "Replacing : " << heap.front() << " with : " << -value <::max() ) - { - heap[i] = 0; - } - else - { - heap[i] *= -1; - } - } - - if ( dbg ) - { - std::cerr << "This is the heap after all the operations :\n"; - for ( size_t i = 0 ; i != heap.size() ; ++i ) - { - std::cout << heap[i] << " "; - } - std::cout <sorted_vector_of_distances = heap; -} - - - - -template < typename F> -void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_vector_sorting( size_t where_to_cut ) -{ - std::vector< double > distances; - distances.reserve( (size_t)(0.5 * this->intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size()) ); - F f; - - //for every pair of points in the diagram, compute the minimum of their distance, and distance of those points from diagonal - for ( size_t i = 0 ; i < this->intervals.size() ; ++i ) - { - //add distance of i-th point in the diagram from the diagonal to the distances vector - distances.push_back( f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ) ); - for ( size_t j = i+1 ; j < this->intervals.size() ; ++j ) - { - double value = std::min( - f( this->intervals[i] , this->intervals[j] ), - std::min( - f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ), - f( this->intervals[j] , std::make_pair( 0.5*(this->intervals[j].first+this->intervals[j].second) , 0.5*(this->intervals[j].first+this->intervals[j].second) ) ) - ) - ); - distances.push_back( value ); - - } - } - std::sort( distances.begin() , distances.end() , std::greater() ); - if ( distances.size() > where_to_cut )distances.resize( where_to_cut ); - - this->sorted_vector_of_distances = distances; -} - - - -//Implementations of functions for various concepts. -template -double Vector_distances_in_diagram::project_to_R( int number_of_function )const -{ - if ( (size_t)number_of_function > this->number_of_functions_for_projections_to_reals )throw "Wrong index of a function in a method Vector_distances_in_diagram::project_to_R"; - if ( number_of_function < 0 )throw "Wrong index of a function in a method Vector_distances_in_diagram::project_to_R"; - - double result = 0; - for ( size_t i = 0 ; i != (size_t)number_of_function ; ++i ) - { - result += sorted_vector_of_distances[i]; - } - return result; -} - -template -void Vector_distances_in_diagram::compute_average( const std::vector< Vector_distances_in_diagram* >& to_average ) -{ - - if ( to_average.size() == 0 ) - { - (*this) = Vector_distances_in_diagram(); - return; - } - - size_t maximal_length_of_vector = 0; - for ( size_t i = 0 ; i != to_average.size() ; ++i ) - { - if ( to_average[i]->sorted_vector_of_distances.size() > maximal_length_of_vector ) - { - maximal_length_of_vector = to_average[i]->sorted_vector_of_distances.size(); - } - } - - std::vector< double > av( maximal_length_of_vector , 0 ); - for ( size_t i = 0 ; i != to_average.size() ; ++i ) - { - for ( size_t j = 0 ; j != to_average[i]->sorted_vector_of_distances.size() ; ++j ) - { - av[j] += to_average[i]->sorted_vector_of_distances[j]; - } - } - - for ( size_t i = 0 ; i != maximal_length_of_vector ; ++i ) - { - av[i] /= (double)to_average.size(); - } - this->sorted_vector_of_distances = av; - this->where_to_cut = av.size(); -} - -template -double Vector_distances_in_diagram::distance( const Vector_distances_in_diagram& second_ , double power )const -{ - bool dbg = false; - - if ( dbg ) - { - std::cerr << "Entering double Vector_distances_in_diagram::distance( const Abs_Topological_data_with_distances* second , double power ) procedure \n"; - std::cerr << "Power : " << power << std::endl; - std::cerr << "This : " << *this << std::endl; - std::cerr << "second : " << second_ << std::endl; - } - - - double result = 0; - for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(), second_.sorted_vector_of_distances.size()) ; ++i ) - { - if ( power == 1 ) - { - if ( dbg ) - { - std::cerr << "|" << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " | : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) <sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ); - } - else - { - if ( power < std::numeric_limits::max() ) - { - result += std::pow( fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) , power ); - } - else - { - //nax morm - if ( result < fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) )result = fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ); - } - if ( dbg ) - { - std::cerr << "| " << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) <sorted_vector_of_distances.size() != second_.sorted_vector_of_distances.size() ) - { - if ( this->sorted_vector_of_distances.size() > second_.sorted_vector_of_distances.size() ) - { - for ( size_t i = second_.sorted_vector_of_distances.size() ; i != this->sorted_vector_of_distances.size() ; ++i ) - { - result += fabs( this->sorted_vector_of_distances[i] ); - } - } - else - { - //this->sorted_vector_of_distances.size() < second_.sorted_vector_of_distances.size() - for ( size_t i = this->sorted_vector_of_distances.size() ; i != second_.sorted_vector_of_distances.size() ; ++i ) - { - result += fabs( second_.sorted_vector_of_distances[i] ); - } - } - } - - - if ( power != 1 ) - { - result = std::pow( result , (1.0/power) ); - } - return result; -} - -template < typename F> -std::vector Vector_distances_in_diagram::vectorize( int number_of_function )const -{ - if ( (size_t)number_of_function > this->number_of_functions_for_vectorization )throw "Wrong index of a function in a method Vector_distances_in_diagram::vectorize"; - if ( number_of_function < 0 )throw "Wrong index of a function in a method Vector_distances_in_diagram::vectorize"; - - std::vector< double > result( std::min( (size_t)number_of_function , this->sorted_vector_of_distances.size() ) ); - for ( size_t i = 0 ; i != std::min( (size_t)number_of_function , this->sorted_vector_of_distances.size() ) ; ++i ) - { - result[i] = this->sorted_vector_of_distances[i]; - } - return result; -} - - -template < typename F> -void Vector_distances_in_diagram::write_to_file( const char* filename )const -{ - std::ofstream out; - out.open( filename ); - - for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) - { - out << this->sorted_vector_of_distances[i] << " "; - } - - out.close(); -} - -template < typename F> -void Vector_distances_in_diagram::load_from_file( const char* filename ) -{ - std::ifstream in; - in.open( filename ); - //check if the file exist. - if ( !in.good() ) - { - std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; - throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; - } - - double number; - while ( true ) - { - in >> number; - if ( in.eof() )break; - this->sorted_vector_of_distances.push_back(number); - } - in.close(); -} - -template < typename F> -double Vector_distances_in_diagram::compute_scalar_product( const Vector_distances_in_diagram& second_vector )const -{ - double result = 0; - for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(),second_vector.sorted_vector_of_distances.size()) ; ++i ) - { - result += this->sorted_vector_of_distances[i] * second_vector.sorted_vector_of_distances[i]; - } - return result; -} - - - - - -}//namespace Gudhi_stat -}//namespace Gudhi - - -#endif // Vector_distances_in_diagram_H diff --git a/src/Gudhi_stat/include/gudhi/persistence_vectors.h b/src/Gudhi_stat/include/gudhi/persistence_vectors.h new file mode 100644 index 00000000..9ed32fc1 --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/persistence_vectors.h @@ -0,0 +1,775 @@ +/* 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 . + */ + + +#ifndef Vector_distances_in_diagram_H +#define Vector_distances_in_diagram_H + +#include +#include +#include +#include +#include + +//gudhi include +#include +#include +#include + + +namespace Gudhi +{ +namespace Persistence_representations +{ + +/* +template +struct Euclidean_distance +{ + double operator() ( const std::pair< T,T >& f , const std::pair& s ) + { + return sqrt( (f.first-s.first)*(f.first-s.first) + (f.second-s.second)*(f.second-s.second) ); + } + double operator() ( const std::vector< T >& f , const std::vector < T >& s ) + { + if ( f.size() != s.size() ) + { + std::cerr << "Not compatible points dimensions in the procedure to compute Euclidean distance. The program will now terminate. \n"; + std::cout << f.size() << " , " << s.size() << std::endl; + throw "Not compatible points dimensions in the procedure to compute Euclidean distance. The program will now terminate. \n"; + } + double result = 0; + for ( size_t i = 0 ; i != f.size() ; ++i ) + { + result += ( f[i]-s[i] )*( f[i]-s[i] ); + } + return sqrt( result ); + } +}; +* */ + +template +struct Maximum_distance +{ + double operator() ( const std::pair< T,T >& f , const std::pair& s ) + { + return std::max( fabs( f.first - s.first ) , fabs( f.second - s.second ) ); + } +}; + + + + +/** +* This is an implementation of idea presented in the paper 'Stable Topological Signatures for Points on 3D Shapes' by +* M. Carriere, S. Y. Oudot and M. Ovsjanikov published in Computer Graphics Forum (proc. SGP 2015). +* The parameter of the class is the class that computes distance used to construct the vectors. The typical function is +* either Eucludean of maximum (Manhattan) distance. +* This class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product +* +**/ + +template +class Vector_distances_in_diagram +{ +public: + /** + * The default constructor. + **/ + Vector_distances_in_diagram(){}; + + /** + * The constructor that takes as an input a multiset of persistence intervals (given as vector of birth-death pairs). The second parameter is the desiered length of the output vectors. + **/ + Vector_distances_in_diagram( const std::vector< std::pair< double , double > >& intervals , size_t where_to_cut ); + + /** + * The constructor taking as an input a file with birth-death pairs. The second parameter is the desiered length of the output vectors. + **/ + Vector_distances_in_diagram( const char* filename , size_t where_to_cut , unsigned dimension = std::numeric_limits::max() ); + + + /** + * Writing to a stream. + **/ + template + friend std::ostream& operator << ( std::ostream& out , const Vector_distances_in_diagram& d ) + { + for ( size_t i = 0 ; i != std::min( d.sorted_vector_of_distances.size() , d.where_to_cut) ; ++i ) + { + out << d.sorted_vector_of_distances[i] << " "; + } + return out; + } + + /** + * This procedure gives the value of a vector on a given position. + **/ + inline double vector_in_position( size_t position )const + { + if ( position >= this->sorted_vector_of_distances.size() )throw("Wrong position in accessing Vector_distances_in_diagram::sorted_vector_of_distances\n"); + return this->sorted_vector_of_distances[position]; + } + + /** + * Return a size of a vector. + **/ + inline size_t size()const{return this->sorted_vector_of_distances.size();} + + /** + * Write a vector to a file. + **/ + void write_to_file( const char* filename )const; + + /** + * Write a vector to a file. + **/ + void print_to_file( const char* filename )const + { + this->write_to_file( filename ); + } + + /** + * Loading a vector to a file. + **/ + void load_from_file( const char* filename ); + + /** + * Comparision operators: + **/ + bool operator == ( const Vector_distances_in_diagram& second )const + { + if ( this->sorted_vector_of_distances.size() != second.sorted_vector_of_distances.size() )return false; + for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) + { + if ( !almost_equal(this->sorted_vector_of_distances[i] , second.sorted_vector_of_distances[i]) )return false; + } + return true; + } + + bool operator != ( const Vector_distances_in_diagram& second )const + { + return !( *this == second ); + } + + + + + //Implementations of functions for various concepts. + /** + * Compute projection to real numbers of persistence vector. This function is required by the Real_valued_topological_data concept + **/ + double project_to_R( int number_of_function )const; + /** + * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. + **/ + size_t number_of_projections_to_R()const + { + return this->number_of_functions_for_projections_to_reals; + } + + /** + * Compute a vectorization of a persistent vectors. It is required in a concept Vectorized_topological_data. + **/ + std::vector vectorize( int number_of_function )const; + /** + * This function return the number of functions that allows vectorization of a persisence vector. It is required in a concept Vectorized_topological_data. + **/ + size_t number_of_vectorize_functions()const + { + return this->number_of_functions_for_vectorization; + } + + /** + * Compute a average of two persistent vectors. This function is required by Topological_data_with_averages concept. + **/ + void compute_average( const std::vector< Vector_distances_in_diagram* >& to_average ); + + /** + * Compute a distance of two persistent vectors. This function is required in Topological_data_with_distances concept. + * For max norm distance, set power to std::numeric_limits::max() + **/ + double distance( const Vector_distances_in_diagram& second , double power = 1)const; + + /** + * Compute a scalar product of two persistent vectors. This function is required in Topological_data_with_scalar_product concept. + **/ + double compute_scalar_product( const Vector_distances_in_diagram& second )const; + //end of implementation of functions needed for concepts. + + + + + + + + + + + + + + + + + + + /** + * For visualization use output from vectorize and build histograms. + **/ + std::vector< double > output_for_visualization()const + { + return this->sorted_vector_of_distances; + } + + + /** + * Create a gnuplot script to vizualize the data structure. + **/ + void plot( const char* filename )const + { + std::stringstream gnuplot_script; + gnuplot_script << filename << "_GnuplotScript"; + std::ofstream out; + out.open( gnuplot_script.str().c_str() ); + out << "set style data histogram" << std::endl; + out << "set style histogram cluster gap 1" << std::endl; + out << "set style fill solid border -1" << std::endl; + out << "plot '-' notitle" << std::endl; + for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) + { + out << this->sorted_vector_of_distances[i] << std::endl; + } + out < get_x_range()const + { + return std::make_pair( 0 , this->sorted_vector_of_distances.size() ); + } + + /** + * The y-range of the persistence vector. + **/ + std::pair< double , double > get_y_range()const + { + if ( this->sorted_vector_of_distances.size() == 0 )return std::make_pair(0,0); + return std::make_pair( this->sorted_vector_of_distances[0] , 0); + } + + //arythmetic operations: + template < typename Operation_type > + friend Vector_distances_in_diagram operation_on_pair_of_vectors( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second , Operation_type opertion ) + { + Vector_distances_in_diagram result; + //Operation_type operation; + result.sorted_vector_of_distances.reserve(std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ); + for ( size_t i = 0 ; i != std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) + { + result.sorted_vector_of_distances.push_back( opertion( first.sorted_vector_of_distances[i] , second.sorted_vector_of_distances[i]) ); + } + if ( first.sorted_vector_of_distances.size() == std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ) + { + for ( size_t i = std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; + i != std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) + { + result.sorted_vector_of_distances.push_back( opertion(0,second.sorted_vector_of_distances[i]) ); + } + } + else + { + for ( size_t i = std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; + i != std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) + { + result.sorted_vector_of_distances.push_back( opertion(first.sorted_vector_of_distances[i],0) ); + } + } + return result; + }//operation_on_pair_of_vectors + + /** + * This function implements an operation of multiplying Vector_distances_in_diagram by a scalar. + **/ + Vector_distances_in_diagram multiply_by_scalar( double scalar )const + { + Vector_distances_in_diagram result; + result.sorted_vector_of_distances.reserve( this->sorted_vector_of_distances.size() ); + for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) + { + result.sorted_vector_of_distances.push_back( scalar * this->sorted_vector_of_distances[i] ); + } + return result; + }//multiply_by_scalar + + + + /** + * This function computes a sum of two objects of a type Vector_distances_in_diagram. + **/ + friend Vector_distances_in_diagram operator+( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second ) + { + return operation_on_pair_of_vectors( first , second , std::plus() ); + } + /** + * This function computes a difference of two objects of a type Vector_distances_in_diagram. + **/ + friend Vector_distances_in_diagram operator-( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second ) + { + return operation_on_pair_of_vectors( first , second , std::minus() ); + } + /** + * This function computes a product of an object of a type Vector_distances_in_diagram with real number. + **/ + friend Vector_distances_in_diagram operator*( double scalar , const Vector_distances_in_diagram& A ) + { + return A.multiply_by_scalar( scalar ); + } + /** + * This function computes a product of an object of a type Vector_distances_in_diagram with real number. + **/ + friend Vector_distances_in_diagram operator*( const Vector_distances_in_diagram& A , double scalar ) + { + return A.multiply_by_scalar( scalar ); + } + /** + * This function computes a product of an object of a type Vector_distances_in_diagram with real number. + **/ + Vector_distances_in_diagram operator*( double scalar ) + { + return this->multiply_by_scalar( scalar ); + } + /** + * += operator for Vector_distances_in_diagram. + **/ + Vector_distances_in_diagram operator += ( const Vector_distances_in_diagram& rhs ) + { + *this = *this + rhs; + return *this; + } + /** + * -= operator for Vector_distances_in_diagram. + **/ + Vector_distances_in_diagram operator -= ( const Vector_distances_in_diagram& rhs ) + { + *this = *this - rhs; + return *this; + } + /** + * *= operator for Vector_distances_in_diagram. + **/ + Vector_distances_in_diagram operator *= ( double x ) + { + *this = *this*x; + return *this; + } + /** + * /= operator for Vector_distances_in_diagram. + **/ + Vector_distances_in_diagram operator /= ( double x ) + { + if ( x == 0 )throw( "In operator /=, division by 0. Program terminated." ); + *this = *this * (1/x); + return *this; + } + + +private: + std::vector< std::pair< double , double > > intervals; + std::vector< double > sorted_vector_of_distances; + size_t number_of_functions_for_vectorization; + size_t number_of_functions_for_projections_to_reals; + size_t where_to_cut; + + void compute_sorted_vector_of_distances_via_heap( size_t where_to_cut ); + void compute_sorted_vector_of_distances_via_vector_sorting( size_t where_to_cut ); + + Vector_distances_in_diagram( const std::vector< double >& sorted_vector_of_distances_ ):sorted_vector_of_distances(sorted_vector_of_distances_) + { + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); + } + + void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() + { + //warning, this function can be only called after filling in the intervals vector. + this->number_of_functions_for_vectorization = this->sorted_vector_of_distances.size(); + this->number_of_functions_for_projections_to_reals = this->sorted_vector_of_distances.size(); + } +}; + + +template +Vector_distances_in_diagram::Vector_distances_in_diagram( const std::vector< std::pair< double,double > >& intervals_ , size_t where_to_cut_ ):where_to_cut(where_to_cut_) +{ + std::vector< std::pair< double,double > > i( intervals_ ); + this->intervals = i; + //this->compute_sorted_vector_of_distances_via_heap( where_to_cut ); + this->compute_sorted_vector_of_distances_via_vector_sorting(where_to_cut); + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); +} + +template +Vector_distances_in_diagram::Vector_distances_in_diagram( const char* filename , size_t where_to_cut , unsigned dimension ):where_to_cut(where_to_cut) +{ + std::vector< std::pair< double , double > > intervals; + if ( dimension == std::numeric_limits::max() ) + { + intervals = read_persistence_intervals_in_one_dimension_from_file( filename ); + } + else + { + intervals = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); + } + this->intervals = intervals; + this->compute_sorted_vector_of_distances_via_heap( where_to_cut ); + //this->compute_sorted_vector_of_distances_via_vector_sorting( where_to_cut ); + set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); +} + +template < typename F> +void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_heap( size_t where_to_cut ) +{ + + bool dbg = false; + if ( dbg ) + { + std::cerr << "Here are the intervals : \n"; + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + std::cerr << this->intervals[i].first << " , " << this->intervals[i].second <intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size())); + + std::vector< double > heap( where_to_cut , std::numeric_limits::max() ); + std::make_heap (heap.begin(),heap.end()); + F f; + + //for every pair of points in the diagram, compute the minimum of their distance, and distance of those points from diagonal + for ( size_t i = 0 ; i < this->intervals.size() ; ++i ) + { + for ( size_t j = i+1 ; j < this->intervals.size() ; ++j ) + { + double value = std::min( + f( this->intervals[i] , this->intervals[j] ), + std::min( + f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ), + f( this->intervals[j] , std::make_pair( 0.5*(this->intervals[j].first+this->intervals[j].second) , 0.5*(this->intervals[j].first+this->intervals[j].second) ) ) + ) + ); + + if ( dbg ) + { + std::cerr << "Value : " << value <intervals.size() ; ++i ) + { + double value = f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ); + if ( -value < heap.front() ) + { + //std::cerr << "Replacing : " << heap.front() << " with : " << -value <::max() ) + { + heap[i] = 0; + } + else + { + heap[i] *= -1; + } + } + + if ( dbg ) + { + std::cerr << "This is the heap after all the operations :\n"; + for ( size_t i = 0 ; i != heap.size() ; ++i ) + { + std::cout << heap[i] << " "; + } + std::cout <sorted_vector_of_distances = heap; +} + + + + +template < typename F> +void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_vector_sorting( size_t where_to_cut ) +{ + std::vector< double > distances; + distances.reserve( (size_t)(0.5 * this->intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size()) ); + F f; + + //for every pair of points in the diagram, compute the minimum of their distance, and distance of those points from diagonal + for ( size_t i = 0 ; i < this->intervals.size() ; ++i ) + { + //add distance of i-th point in the diagram from the diagonal to the distances vector + distances.push_back( f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ) ); + for ( size_t j = i+1 ; j < this->intervals.size() ; ++j ) + { + double value = std::min( + f( this->intervals[i] , this->intervals[j] ), + std::min( + f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ), + f( this->intervals[j] , std::make_pair( 0.5*(this->intervals[j].first+this->intervals[j].second) , 0.5*(this->intervals[j].first+this->intervals[j].second) ) ) + ) + ); + distances.push_back( value ); + + } + } + std::sort( distances.begin() , distances.end() , std::greater() ); + if ( distances.size() > where_to_cut )distances.resize( where_to_cut ); + + this->sorted_vector_of_distances = distances; +} + + + +//Implementations of functions for various concepts. +template +double Vector_distances_in_diagram::project_to_R( int number_of_function )const +{ + if ( (size_t)number_of_function > this->number_of_functions_for_projections_to_reals )throw "Wrong index of a function in a method Vector_distances_in_diagram::project_to_R"; + if ( number_of_function < 0 )throw "Wrong index of a function in a method Vector_distances_in_diagram::project_to_R"; + + double result = 0; + for ( size_t i = 0 ; i != (size_t)number_of_function ; ++i ) + { + result += sorted_vector_of_distances[i]; + } + return result; +} + +template +void Vector_distances_in_diagram::compute_average( const std::vector< Vector_distances_in_diagram* >& to_average ) +{ + + if ( to_average.size() == 0 ) + { + (*this) = Vector_distances_in_diagram(); + return; + } + + size_t maximal_length_of_vector = 0; + for ( size_t i = 0 ; i != to_average.size() ; ++i ) + { + if ( to_average[i]->sorted_vector_of_distances.size() > maximal_length_of_vector ) + { + maximal_length_of_vector = to_average[i]->sorted_vector_of_distances.size(); + } + } + + std::vector< double > av( maximal_length_of_vector , 0 ); + for ( size_t i = 0 ; i != to_average.size() ; ++i ) + { + for ( size_t j = 0 ; j != to_average[i]->sorted_vector_of_distances.size() ; ++j ) + { + av[j] += to_average[i]->sorted_vector_of_distances[j]; + } + } + + for ( size_t i = 0 ; i != maximal_length_of_vector ; ++i ) + { + av[i] /= (double)to_average.size(); + } + this->sorted_vector_of_distances = av; + this->where_to_cut = av.size(); +} + +template +double Vector_distances_in_diagram::distance( const Vector_distances_in_diagram& second_ , double power )const +{ + bool dbg = false; + + if ( dbg ) + { + std::cerr << "Entering double Vector_distances_in_diagram::distance( const Abs_Topological_data_with_distances* second , double power ) procedure \n"; + std::cerr << "Power : " << power << std::endl; + std::cerr << "This : " << *this << std::endl; + std::cerr << "second : " << second_ << std::endl; + } + + + double result = 0; + for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(), second_.sorted_vector_of_distances.size()) ; ++i ) + { + if ( power == 1 ) + { + if ( dbg ) + { + std::cerr << "|" << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " | : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) <sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ); + } + else + { + if ( power < std::numeric_limits::max() ) + { + result += std::pow( fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) , power ); + } + else + { + //nax morm + if ( result < fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) )result = fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ); + } + if ( dbg ) + { + std::cerr << "| " << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) <sorted_vector_of_distances.size() != second_.sorted_vector_of_distances.size() ) + { + if ( this->sorted_vector_of_distances.size() > second_.sorted_vector_of_distances.size() ) + { + for ( size_t i = second_.sorted_vector_of_distances.size() ; i != this->sorted_vector_of_distances.size() ; ++i ) + { + result += fabs( this->sorted_vector_of_distances[i] ); + } + } + else + { + //this->sorted_vector_of_distances.size() < second_.sorted_vector_of_distances.size() + for ( size_t i = this->sorted_vector_of_distances.size() ; i != second_.sorted_vector_of_distances.size() ; ++i ) + { + result += fabs( second_.sorted_vector_of_distances[i] ); + } + } + } + + + if ( power != 1 ) + { + result = std::pow( result , (1.0/power) ); + } + return result; +} + +template < typename F> +std::vector Vector_distances_in_diagram::vectorize( int number_of_function )const +{ + if ( (size_t)number_of_function > this->number_of_functions_for_vectorization )throw "Wrong index of a function in a method Vector_distances_in_diagram::vectorize"; + if ( number_of_function < 0 )throw "Wrong index of a function in a method Vector_distances_in_diagram::vectorize"; + + std::vector< double > result( std::min( (size_t)number_of_function , this->sorted_vector_of_distances.size() ) ); + for ( size_t i = 0 ; i != std::min( (size_t)number_of_function , this->sorted_vector_of_distances.size() ) ; ++i ) + { + result[i] = this->sorted_vector_of_distances[i]; + } + return result; +} + + +template < typename F> +void Vector_distances_in_diagram::write_to_file( const char* filename )const +{ + std::ofstream out; + out.open( filename ); + + for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) + { + out << this->sorted_vector_of_distances[i] << " "; + } + + out.close(); +} + +template < typename F> +void Vector_distances_in_diagram::load_from_file( const char* filename ) +{ + std::ifstream in; + in.open( filename ); + //check if the file exist. + if ( !in.good() ) + { + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; + } + + double number; + while ( true ) + { + in >> number; + if ( in.eof() )break; + this->sorted_vector_of_distances.push_back(number); + } + in.close(); +} + +template < typename F> +double Vector_distances_in_diagram::compute_scalar_product( const Vector_distances_in_diagram& second_vector )const +{ + double result = 0; + for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(),second_vector.sorted_vector_of_distances.size()) ; ++i ) + { + result += this->sorted_vector_of_distances[i] * second_vector.sorted_vector_of_distances[i]; + } + return result; +} + + + + + +}//namespace Gudhi_stat +}//namespace Gudhi + + +#endif // Vector_distances_in_diagram_H diff --git a/src/Gudhi_stat/include/gudhi/read_persistence_from_file.h b/src/Gudhi_stat/include/gudhi/read_persistence_from_file.h index 5042826c..39b3ca7b 100644 --- a/src/Gudhi_stat/include/gudhi/read_persistence_from_file.h +++ b/src/Gudhi_stat/include/gudhi/read_persistence_from_file.h @@ -34,7 +34,7 @@ namespace Gudhi { -namespace Gudhi_stat +namespace Persistence_representations { diff --git a/src/Gudhi_stat/include/gudhi/topological_process.h b/src/Gudhi_stat/include/gudhi/topological_process.h index 03edbb85..ee8478ed 100644 --- a/src/Gudhi_stat/include/gudhi/topological_process.h +++ b/src/Gudhi_stat/include/gudhi/topological_process.h @@ -25,19 +25,19 @@ //concretizations -#include -#include -#include -#include +#include +#include +#include +#include #include #include //extras -#include +#include namespace Gudhi { -namespace Gudhi_stat +namespace Persistence_representations { diff --git a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp index fb094912..c7b36688 100644 --- a/src/Gudhi_stat/test/persistence_heat_maps_test.cpp +++ b/src/Gudhi_stat/test/persistence_heat_maps_test.cpp @@ -26,14 +26,14 @@ #define BOOST_TEST_MODULE "gudhi_stat" #include #include -#include +#include #include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; diff --git a/src/Gudhi_stat/test/persistence_intervals_test.cpp b/src/Gudhi_stat/test/persistence_intervals_test.cpp index 4fb73da1..dae270ed 100644 --- a/src/Gudhi_stat/test/persistence_intervals_test.cpp +++ b/src/Gudhi_stat/test/persistence_intervals_test.cpp @@ -26,14 +26,14 @@ #define BOOST_TEST_MODULE "gudhi_stat" #include #include -#include "gudhi/persistence_representations/Persistence_intervals.h" +#include "gudhi/Persistence_intervals.h" #include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; double epsilon = 0.0000005; diff --git a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp index 54fb2b84..e935cb97 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp @@ -26,14 +26,14 @@ #define BOOST_TEST_MODULE "gudhi_stat" #include #include -#include +#include #include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; double epsilon = 0.0000005; diff --git a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp index 266be4de..684c50ff 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp @@ -26,14 +26,14 @@ #define BOOST_TEST_MODULE "gudhi_stat" #include #include -#include +#include #include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; double epsilon = 0.0000005; diff --git a/src/Gudhi_stat/test/read_persistence_from_file_test.cpp b/src/Gudhi_stat/test/read_persistence_from_file_test.cpp index c0e988bf..d4dc7f89 100644 --- a/src/Gudhi_stat/test/read_persistence_from_file_test.cpp +++ b/src/Gudhi_stat/test/read_persistence_from_file_test.cpp @@ -33,7 +33,7 @@ using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; diff --git a/src/Gudhi_stat/test/vector_representation_test.cpp b/src/Gudhi_stat/test/vector_representation_test.cpp index c3b15d05..2c1ef1f8 100644 --- a/src/Gudhi_stat/test/vector_representation_test.cpp +++ b/src/Gudhi_stat/test/vector_representation_test.cpp @@ -21,8 +21,8 @@ */ -#include -#include +#include +#include #include #define BOOST_TEST_DYN_LINK @@ -35,7 +35,7 @@ using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; diff --git a/src/Gudhi_stat/utilities/Hausdorff_subsampling.cpp b/src/Gudhi_stat/utilities/Hausdorff_subsampling.cpp index d716b3b8..44de1029 100644 --- a/src/Gudhi_stat/utilities/Hausdorff_subsampling.cpp +++ b/src/Gudhi_stat/utilities/Hausdorff_subsampling.cpp @@ -24,10 +24,11 @@ #include #include #include -#include +#include using namespace Gudhi; +using namespace Gudhi::Persistence_representations; using namespace Gudhi::Gudhi_stat; diff --git a/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp b/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp index 9bd6c89e..a2ca93a9 100644 --- a/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp +++ b/src/Gudhi_stat/utilities/Landscape_bootstrap.cpp @@ -23,9 +23,9 @@ //stat part: #include #include -#include +#include #include -#include +#include //persistence part: #include #include @@ -34,8 +34,9 @@ #include - -using Persistence_landscape = Gudhi::Gudhi_stat::Persistence_landscape; +using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; +using Persistence_landscape = Gudhi::Persistence_representations::Persistence_landscape; typedef int Vertex_handle; //typedef double Filtration_value; @@ -157,7 +158,7 @@ int main( int argc , char** argv ) std::cout << "Now we will read points from the file : " << filename << " and then perform " << number_of_repetitions_of_bootstrap << " times the bootstrap on it by choosing subsample of a size " << size_of_subsample << std::endl; - std::vector< std::vector< double > > points = Gudhi::Gudhi_stat::read_numbers_from_file_line_by_line( filename ); + std::vector< std::vector< double > > points = Gudhi::Persistence_representations::read_numbers_from_file_line_by_line( filename ); std::cout << "Read : " << points.size() << " points.\n"; diff --git a/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp b/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp index 7ee389f8..8949fba1 100644 --- a/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp +++ b/src/Gudhi_stat/utilities/Multiplicative_bootstrap.cpp @@ -24,10 +24,11 @@ #include #include #include -#include +#include using namespace Gudhi; using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; diff --git a/src/Gudhi_stat/utilities/permutation_test.cpp b/src/Gudhi_stat/utilities/permutation_test.cpp index 62cd3f10..e974b311 100644 --- a/src/Gudhi_stat/utilities/permutation_test.cpp +++ b/src/Gudhi_stat/utilities/permutation_test.cpp @@ -22,12 +22,13 @@ #include -#include +#include #include #include using namespace Gudhi; using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; int main( int argc , char** argv ) { diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp index 901f1a03..2d221d27 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/average_persistence_heat_maps.cpp @@ -22,12 +22,12 @@ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp index e4f5fca6..d3e6f322 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_distance_of_persistence_heat_maps.cpp @@ -21,12 +21,12 @@ */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp index cdeba692..edbf16c1 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/compute_scalar_product_of_persistence_heat_maps.cpp @@ -21,12 +21,12 @@ */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp index e99b829a..cac81495 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps.cpp @@ -22,12 +22,12 @@ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp index b98fc3f7..aa887c9c 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_arctan_of_their_persistence.cpp @@ -22,12 +22,12 @@ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp index 351cfd6f..aa13d786 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_distance_from_diagonal.cpp @@ -21,12 +21,12 @@ */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp index 59966855..46258329 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_persistence_heat_maps_weighted_by_squared_distance_from_diagonal.cpp @@ -21,12 +21,12 @@ */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp index dfab5cdb..6aab42f7 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/create_pssk.cpp @@ -20,12 +20,12 @@ * along with this program. If not, see . */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp b/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp index 59b14fe8..5a4776ff 100644 --- a/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp +++ b/src/Gudhi_stat/utilities/persistence_heat_maps/plot_persistence_heat_map.cpp @@ -21,12 +21,12 @@ */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp b/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp index 291bd557..2e0d680f 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/compute_birth_death_range_in_persistence_diagram.cpp @@ -23,7 +23,7 @@ #include -#include +#include #include #include @@ -32,7 +32,7 @@ using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; int main( int argc , char** argv ) diff --git a/src/Gudhi_stat/utilities/persistence_intervals/compute_bottleneck_distance.cpp b/src/Gudhi_stat/utilities/persistence_intervals/compute_bottleneck_distance.cpp index 43929695..19e49bbb 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/compute_bottleneck_distance.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/compute_bottleneck_distance.cpp @@ -20,13 +20,13 @@ * along with this program. If not, see . */ -#include +#include #include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp b/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp index 281902fe..c099befc 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/compute_number_of_dominant_intervals.cpp @@ -23,14 +23,14 @@ #include -#include +#include #include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; int main( int argc , char** argv ) diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp index 994c6913..b2cbac70 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_histogram_of_intervals_lengths.cpp @@ -23,14 +23,14 @@ #include -#include +#include #include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; int main( int argc , char** argv ) diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numbers.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numbers.cpp index 21ba06f4..e20f85c0 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numbers.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_Betti_numbers.cpp @@ -23,14 +23,14 @@ #include -#include +#include #include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; int main( int argc , char** argv ) diff --git a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp index 95c0cf1f..ed03459b 100644 --- a/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp +++ b/src/Gudhi_stat/utilities/persistence_intervals/plot_persistence_intervals.cpp @@ -23,7 +23,7 @@ #include -#include +#include #include #include @@ -31,7 +31,7 @@ using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; double epsilon = 0.0000005; @@ -39,7 +39,7 @@ double epsilon = 0.0000005; int main( int argc , char** argv ) { - if ( argc != 2 ) + if ( argc < 2 ) { std::cout << "To run this program, please provide the name of a file with persistence diagram \n"; std::cout << "The second optional parameter of a program is the dimension of the persistence that is to be used. If your file contains only birth-death pairs, you can skip this parameter\n"; @@ -54,10 +54,7 @@ int main( int argc , char** argv ) if ( dim >= 0 ) { dimension = (unsigned)dim; - } - - - + } std::vector< std::pair< double , double > > intervals = read_persistence_intervals_in_one_dimension_from_file( argv[1] , dimension ); Persistence_intervals b( intervals ); b.plot( argv[1] ); diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/average_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/average_landscapes.cpp index 2a50acd8..1e0caa30 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/average_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/average_landscapes.cpp @@ -22,12 +22,12 @@ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp index 0b16ac26..85954cb2 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/compute_distance_of_landscapes.cpp @@ -20,12 +20,12 @@ * along with this program. If not, see . */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp index 16a15174..02b729b2 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/compute_scalar_product_of_landscapes.cpp @@ -20,12 +20,12 @@ * along with this program. If not, see . */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/create_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/create_landscapes.cpp index 040ccc95..b85c8644 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/create_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/create_landscapes.cpp @@ -20,11 +20,11 @@ * along with this program. If not, see . */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes/plot_landscapes.cpp b/src/Gudhi_stat/utilities/persistence_landscapes/plot_landscapes.cpp index aad8e147..b79a689d 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes/plot_landscapes.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes/plot_landscapes.cpp @@ -20,12 +20,12 @@ * along with this program. If not, see . */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp index d3851734..10d9e7ac 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/average_landscapes_on_grid.cpp @@ -20,12 +20,12 @@ * along with this program. If not, see . */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp index 29c37159..4ecbd548 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_distance_of_landscapes_on_grid.cpp @@ -20,12 +20,12 @@ * along with this program. If not, see . */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp index 326e5587..342613b4 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/compute_scalar_product_of_landscapes_on_grid.cpp @@ -21,12 +21,12 @@ */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp index 6dbb70c4..a033362c 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/create_landscapes_on_grid.cpp @@ -20,12 +20,12 @@ * along with this program. If not, see . */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp index b5687ea2..700b2f1f 100644 --- a/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp +++ b/src/Gudhi_stat/utilities/persistence_landscapes_on_grid/plot_landscapes_on_grid.cpp @@ -20,12 +20,12 @@ * along with this program. If not, see . */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp index 245676cd..126a0bf7 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp @@ -21,12 +21,12 @@ */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp index feba2429..3320defd 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp @@ -20,12 +20,12 @@ * along with this program. If not, see . */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp index 775f4913..3f6e9c6c 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp @@ -20,12 +20,12 @@ * along with this program. If not, see . */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp index 7f0492c6..fd8b544c 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp @@ -20,12 +20,12 @@ * along with this program. If not, see . */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp index c642d22d..f52e6044 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp @@ -20,12 +20,12 @@ * along with this program. If not, see . */ -#include +#include using namespace Gudhi; -using namespace Gudhi::Gudhi_stat; +using namespace Gudhi::Persistence_representations; #include #include -- cgit v1.2.3 From 176bf81a5f13a748e7449d8ec47ef809d507e9a6 Mon Sep 17 00:00:00 2001 From: pdlotko Date: Thu, 4 May 2017 09:30:04 +0000 Subject: Fixing Marc's comments git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/gudhi_stat@2394 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 24336d02a44474c9aaed8e6ce244f1f6bb2aed3b --- src/Gudhi_stat/example/persistence_vectors.cpp | 2 +- src/Gudhi_stat/include/gudhi/Persistence_vectors.h | 777 +++++++++++++++++++++ src/Gudhi_stat/include/gudhi/persistence_vectors.h | 777 --------------------- .../include/gudhi/read_persistence_from_file.h | 211 +----- src/Gudhi_stat/test/CMakeLists.txt | 5 + .../test/persistence_lanscapes_on_grid_test.cpp | 4 +- src/Gudhi_stat/test/persistence_lanscapes_test.cpp | 30 +- src/Gudhi_stat/test/vector_representation_test.cpp | 6 +- .../average_persistence_vectors.cpp | 2 +- .../compute_distance_of_persistence_vectors.cpp | 2 +- ...mpute_scalar_product_of_persistence_vectors.cpp | 2 +- .../create_persistence_vectors.cpp | 2 +- .../plot_persistence_vectors.cpp | 2 +- 13 files changed, 821 insertions(+), 1001 deletions(-) create mode 100644 src/Gudhi_stat/include/gudhi/Persistence_vectors.h delete mode 100644 src/Gudhi_stat/include/gudhi/persistence_vectors.h (limited to 'src/Gudhi_stat/example') diff --git a/src/Gudhi_stat/example/persistence_vectors.cpp b/src/Gudhi_stat/example/persistence_vectors.cpp index 70163fec..028d95eb 100644 --- a/src/Gudhi_stat/example/persistence_vectors.cpp +++ b/src/Gudhi_stat/example/persistence_vectors.cpp @@ -22,7 +22,7 @@ -#include +#include #include diff --git a/src/Gudhi_stat/include/gudhi/Persistence_vectors.h b/src/Gudhi_stat/include/gudhi/Persistence_vectors.h new file mode 100644 index 00000000..d623dd0d --- /dev/null +++ b/src/Gudhi_stat/include/gudhi/Persistence_vectors.h @@ -0,0 +1,777 @@ +/* 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 . + */ + + +#ifndef Vector_distances_in_diagram_H +#define Vector_distances_in_diagram_H + +#include +#include +#include +#include +#include + +//gudhi include +#include +#include +#include + + +namespace Gudhi +{ +namespace Persistence_representations +{ + +/* +template +struct Euclidean_distance +{ + double operator() ( const std::pair< T,T >& f , const std::pair& s ) + { + return sqrt( (f.first-s.first)*(f.first-s.first) + (f.second-s.second)*(f.second-s.second) ); + } + double operator() ( const std::vector< T >& f , const std::vector < T >& s ) + { + if ( f.size() != s.size() ) + { + std::cerr << "Not compatible points dimensions in the procedure to compute Euclidean distance. The program will now terminate. \n"; + std::cout << f.size() << " , " << s.size() << std::endl; + throw "Not compatible points dimensions in the procedure to compute Euclidean distance. The program will now terminate. \n"; + } + double result = 0; + for ( size_t i = 0 ; i != f.size() ; ++i ) + { + result += ( f[i]-s[i] )*( f[i]-s[i] ); + } + return sqrt( result ); + } +}; +* */ + +template +struct Maximum_distance +{ + double operator() ( const std::pair< T,T >& f , const std::pair& s ) + { + return std::max( fabs( f.first - s.first ) , fabs( f.second - s.second ) ); + } +}; + + + + +/** +* This is an implementation of idea presented in the paper 'Stable Topological Signatures for Points on 3D Shapes' by +* M. Carriere, S. Y. Oudot and M. Ovsjanikov published in Computer Graphics Forum (proc. SGP 2015). +* The parameter of the class is the class that computes distance used to construct the vectors. The typical function is +* either Eucludean of maximum (Manhattan) distance. +* This class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product +* +**/ + +template +class Vector_distances_in_diagram +{ +public: + /** + * The default constructor. + **/ + Vector_distances_in_diagram(){}; + + /** + * The constructor that takes as an input a multiset of persistence intervals (given as vector of birth-death pairs). The second parameter is the desiered length of the output vectors. + **/ + Vector_distances_in_diagram( const std::vector< std::pair< double , double > >& intervals , size_t where_to_cut ); + + /** + * The constructor taking as an input a file with birth-death pairs. The second parameter is the desiered length of the output vectors. + **/ + Vector_distances_in_diagram( const char* filename , size_t where_to_cut , unsigned dimension = std::numeric_limits::max() ); + + + /** + * Writing to a stream. + **/ + template + friend std::ostream& operator << ( std::ostream& out , const Vector_distances_in_diagram& d ) + { + for ( size_t i = 0 ; i != std::min( d.sorted_vector_of_distances.size() , d.where_to_cut) ; ++i ) + { + out << d.sorted_vector_of_distances[i] << " "; + } + return out; + } + + /** + * This procedure gives the value of a vector on a given position. + **/ + inline double vector_in_position( size_t position )const + { + if ( position >= this->sorted_vector_of_distances.size() )throw("Wrong position in accessing Vector_distances_in_diagram::sorted_vector_of_distances\n"); + return this->sorted_vector_of_distances[position]; + } + + /** + * Return a size of a vector. + **/ + inline size_t size()const{return this->sorted_vector_of_distances.size();} + + /** + * Write a vector to a file. + **/ + void write_to_file( const char* filename )const; + + /** + * Write a vector to a file. + **/ + void print_to_file( const char* filename )const + { + this->write_to_file( filename ); + } + + /** + * Loading a vector to a file. + **/ + void load_from_file( const char* filename ); + + /** + * Comparision operators: + **/ + bool operator == ( const Vector_distances_in_diagram& second )const + { + if ( this->sorted_vector_of_distances.size() != second.sorted_vector_of_distances.size() )return false; + for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) + { + if ( !almost_equal(this->sorted_vector_of_distances[i] , second.sorted_vector_of_distances[i]) )return false; + } + return true; + } + + bool operator != ( const Vector_distances_in_diagram& second )const + { + return !( *this == second ); + } + + + + + //Implementations of functions for various concepts. + /** + * Compute projection to real numbers of persistence vector. This function is required by the Real_valued_topological_data concept + * At the moment this function is not tested, since it is quite likelly to be changed in the future. Given this, when using it, keep in mind that it + * will be most likelly changed in the next versions. + **/ + double project_to_R( int number_of_function )const; + /** + * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. + **/ + size_t number_of_projections_to_R()const + { + return this->number_of_functions_for_projections_to_reals; + } + + /** + * Compute a vectorization of a persistent vectors. It is required in a concept Vectorized_topological_data. + **/ + std::vector vectorize( int number_of_function )const; + /** + * This function return the number of functions that allows vectorization of a persisence vector. It is required in a concept Vectorized_topological_data. + **/ + size_t number_of_vectorize_functions()const + { + return this->number_of_functions_for_vectorization; + } + + /** + * Compute a average of two persistent vectors. This function is required by Topological_data_with_averages concept. + **/ + void compute_average( const std::vector< Vector_distances_in_diagram* >& to_average ); + + /** + * Compute a distance of two persistent vectors. This function is required in Topological_data_with_distances concept. + * For max norm distance, set power to std::numeric_limits::max() + **/ + double distance( const Vector_distances_in_diagram& second , double power = 1)const; + + /** + * Compute a scalar product of two persistent vectors. This function is required in Topological_data_with_scalar_product concept. + **/ + double compute_scalar_product( const Vector_distances_in_diagram& second )const; + //end of implementation of functions needed for concepts. + + + + + + + + + + + + + + + + + + + /** + * For visualization use output from vectorize and build histograms. + **/ + std::vector< double > output_for_visualization()const + { + return this->sorted_vector_of_distances; + } + + + /** + * Create a gnuplot script to vizualize the data structure. + **/ + void plot( const char* filename )const + { + std::stringstream gnuplot_script; + gnuplot_script << filename << "_GnuplotScript"; + std::ofstream out; + out.open( gnuplot_script.str().c_str() ); + out << "set style data histogram" << std::endl; + out << "set style histogram cluster gap 1" << std::endl; + out << "set style fill solid border -1" << std::endl; + out << "plot '-' notitle" << std::endl; + for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) + { + out << this->sorted_vector_of_distances[i] << std::endl; + } + out < get_x_range()const + { + return std::make_pair( 0 , this->sorted_vector_of_distances.size() ); + } + + /** + * The y-range of the persistence vector. + **/ + std::pair< double , double > get_y_range()const + { + if ( this->sorted_vector_of_distances.size() == 0 )return std::make_pair(0,0); + return std::make_pair( this->sorted_vector_of_distances[0] , 0); + } + + //arythmetic operations: + template < typename Operation_type > + friend Vector_distances_in_diagram operation_on_pair_of_vectors( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second , Operation_type opertion ) + { + Vector_distances_in_diagram result; + //Operation_type operation; + result.sorted_vector_of_distances.reserve(std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ); + for ( size_t i = 0 ; i != std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) + { + result.sorted_vector_of_distances.push_back( opertion( first.sorted_vector_of_distances[i] , second.sorted_vector_of_distances[i]) ); + } + if ( first.sorted_vector_of_distances.size() == std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ) + { + for ( size_t i = std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; + i != std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) + { + result.sorted_vector_of_distances.push_back( opertion(0,second.sorted_vector_of_distances[i]) ); + } + } + else + { + for ( size_t i = std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; + i != std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) + { + result.sorted_vector_of_distances.push_back( opertion(first.sorted_vector_of_distances[i],0) ); + } + } + return result; + }//operation_on_pair_of_vectors + + /** + * This function implements an operation of multiplying Vector_distances_in_diagram by a scalar. + **/ + Vector_distances_in_diagram multiply_by_scalar( double scalar )const + { + Vector_distances_in_diagram result; + result.sorted_vector_of_distances.reserve( this->sorted_vector_of_distances.size() ); + for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) + { + result.sorted_vector_of_distances.push_back( scalar * this->sorted_vector_of_distances[i] ); + } + return result; + }//multiply_by_scalar + + + + /** + * This function computes a sum of two objects of a type Vector_distances_in_diagram. + **/ + friend Vector_distances_in_diagram operator+( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second ) + { + return operation_on_pair_of_vectors( first , second , std::plus() ); + } + /** + * This function computes a difference of two objects of a type Vector_distances_in_diagram. + **/ + friend Vector_distances_in_diagram operator-( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second ) + { + return operation_on_pair_of_vectors( first , second , std::minus() ); + } + /** + * This function computes a product of an object of a type Vector_distances_in_diagram with real number. + **/ + friend Vector_distances_in_diagram operator*( double scalar , const Vector_distances_in_diagram& A ) + { + return A.multiply_by_scalar( scalar ); + } + /** + * This function computes a product of an object of a type Vector_distances_in_diagram with real number. + **/ + friend Vector_distances_in_diagram operator*( const Vector_distances_in_diagram& A , double scalar ) + { + return A.multiply_by_scalar( scalar ); + } + /** + * This function computes a product of an object of a type Vector_distances_in_diagram with real number. + **/ + Vector_distances_in_diagram operator*( double scalar ) + { + return this->multiply_by_scalar( scalar ); + } + /** + * += operator for Vector_distances_in_diagram. + **/ + Vector_distances_in_diagram operator += ( const Vector_distances_in_diagram& rhs ) + { + *this = *this + rhs; + return *this; + } + /** + * -= operator for Vector_distances_in_diagram. + **/ + Vector_distances_in_diagram operator -= ( const Vector_distances_in_diagram& rhs ) + { + *this = *this - rhs; + return *this; + } + /** + * *= operator for Vector_distances_in_diagram. + **/ + Vector_distances_in_diagram operator *= ( double x ) + { + *this = *this*x; + return *this; + } + /** + * /= operator for Vector_distances_in_diagram. + **/ + Vector_distances_in_diagram operator /= ( double x ) + { + if ( x == 0 )throw( "In operator /=, division by 0. Program terminated." ); + *this = *this * (1/x); + return *this; + } + + +private: + std::vector< std::pair< double , double > > intervals; + std::vector< double > sorted_vector_of_distances; + size_t number_of_functions_for_vectorization; + size_t number_of_functions_for_projections_to_reals; + size_t where_to_cut; + + void compute_sorted_vector_of_distances_via_heap( size_t where_to_cut ); + void compute_sorted_vector_of_distances_via_vector_sorting( size_t where_to_cut ); + + Vector_distances_in_diagram( const std::vector< double >& sorted_vector_of_distances_ ):sorted_vector_of_distances(sorted_vector_of_distances_) + { + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); + } + + void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() + { + //warning, this function can be only called after filling in the intervals vector. + this->number_of_functions_for_vectorization = this->sorted_vector_of_distances.size(); + this->number_of_functions_for_projections_to_reals = this->sorted_vector_of_distances.size(); + } +}; + + +template +Vector_distances_in_diagram::Vector_distances_in_diagram( const std::vector< std::pair< double,double > >& intervals_ , size_t where_to_cut_ ):where_to_cut(where_to_cut_) +{ + std::vector< std::pair< double,double > > i( intervals_ ); + this->intervals = i; + //this->compute_sorted_vector_of_distances_via_heap( where_to_cut ); + this->compute_sorted_vector_of_distances_via_vector_sorting(where_to_cut); + this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); +} + +template +Vector_distances_in_diagram::Vector_distances_in_diagram( const char* filename , size_t where_to_cut , unsigned dimension ):where_to_cut(where_to_cut) +{ + std::vector< std::pair< double , double > > intervals; + if ( dimension == std::numeric_limits::max() ) + { + intervals = read_persistence_intervals_in_one_dimension_from_file( filename ); + } + else + { + intervals = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); + } + this->intervals = intervals; + this->compute_sorted_vector_of_distances_via_heap( where_to_cut ); + //this->compute_sorted_vector_of_distances_via_vector_sorting( where_to_cut ); + set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); +} + +template < typename F> +void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_heap( size_t where_to_cut ) +{ + + bool dbg = false; + if ( dbg ) + { + std::cerr << "Here are the intervals : \n"; + for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) + { + std::cerr << this->intervals[i].first << " , " << this->intervals[i].second <intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size())); + + std::vector< double > heap( where_to_cut , std::numeric_limits::max() ); + std::make_heap (heap.begin(),heap.end()); + F f; + + //for every pair of points in the diagram, compute the minimum of their distance, and distance of those points from diagonal + for ( size_t i = 0 ; i < this->intervals.size() ; ++i ) + { + for ( size_t j = i+1 ; j < this->intervals.size() ; ++j ) + { + double value = std::min( + f( this->intervals[i] , this->intervals[j] ), + std::min( + f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ), + f( this->intervals[j] , std::make_pair( 0.5*(this->intervals[j].first+this->intervals[j].second) , 0.5*(this->intervals[j].first+this->intervals[j].second) ) ) + ) + ); + + if ( dbg ) + { + std::cerr << "Value : " << value <intervals.size() ; ++i ) + { + double value = f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ); + if ( -value < heap.front() ) + { + //std::cerr << "Replacing : " << heap.front() << " with : " << -value <::max() ) + { + heap[i] = 0; + } + else + { + heap[i] *= -1; + } + } + + if ( dbg ) + { + std::cerr << "This is the heap after all the operations :\n"; + for ( size_t i = 0 ; i != heap.size() ; ++i ) + { + std::cout << heap[i] << " "; + } + std::cout <sorted_vector_of_distances = heap; +} + + + + +template < typename F> +void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_vector_sorting( size_t where_to_cut ) +{ + std::vector< double > distances; + distances.reserve( (size_t)(0.5 * this->intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size()) ); + F f; + + //for every pair of points in the diagram, compute the minimum of their distance, and distance of those points from diagonal + for ( size_t i = 0 ; i < this->intervals.size() ; ++i ) + { + //add distance of i-th point in the diagram from the diagonal to the distances vector + distances.push_back( f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ) ); + for ( size_t j = i+1 ; j < this->intervals.size() ; ++j ) + { + double value = std::min( + f( this->intervals[i] , this->intervals[j] ), + std::min( + f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ), + f( this->intervals[j] , std::make_pair( 0.5*(this->intervals[j].first+this->intervals[j].second) , 0.5*(this->intervals[j].first+this->intervals[j].second) ) ) + ) + ); + distances.push_back( value ); + + } + } + std::sort( distances.begin() , distances.end() , std::greater() ); + if ( distances.size() > where_to_cut )distances.resize( where_to_cut ); + + this->sorted_vector_of_distances = distances; +} + + + +//Implementations of functions for various concepts. +template +double Vector_distances_in_diagram::project_to_R( int number_of_function )const +{ + if ( (size_t)number_of_function > this->number_of_functions_for_projections_to_reals )throw "Wrong index of a function in a method Vector_distances_in_diagram::project_to_R"; + if ( number_of_function < 0 )throw "Wrong index of a function in a method Vector_distances_in_diagram::project_to_R"; + + double result = 0; + for ( size_t i = 0 ; i != (size_t)number_of_function ; ++i ) + { + result += sorted_vector_of_distances[i]; + } + return result; +} + +template +void Vector_distances_in_diagram::compute_average( const std::vector< Vector_distances_in_diagram* >& to_average ) +{ + + if ( to_average.size() == 0 ) + { + (*this) = Vector_distances_in_diagram(); + return; + } + + size_t maximal_length_of_vector = 0; + for ( size_t i = 0 ; i != to_average.size() ; ++i ) + { + if ( to_average[i]->sorted_vector_of_distances.size() > maximal_length_of_vector ) + { + maximal_length_of_vector = to_average[i]->sorted_vector_of_distances.size(); + } + } + + std::vector< double > av( maximal_length_of_vector , 0 ); + for ( size_t i = 0 ; i != to_average.size() ; ++i ) + { + for ( size_t j = 0 ; j != to_average[i]->sorted_vector_of_distances.size() ; ++j ) + { + av[j] += to_average[i]->sorted_vector_of_distances[j]; + } + } + + for ( size_t i = 0 ; i != maximal_length_of_vector ; ++i ) + { + av[i] /= (double)to_average.size(); + } + this->sorted_vector_of_distances = av; + this->where_to_cut = av.size(); +} + +template +double Vector_distances_in_diagram::distance( const Vector_distances_in_diagram& second_ , double power )const +{ + bool dbg = false; + + if ( dbg ) + { + std::cerr << "Entering double Vector_distances_in_diagram::distance( const Abs_Topological_data_with_distances* second , double power ) procedure \n"; + std::cerr << "Power : " << power << std::endl; + std::cerr << "This : " << *this << std::endl; + std::cerr << "second : " << second_ << std::endl; + } + + + double result = 0; + for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(), second_.sorted_vector_of_distances.size()) ; ++i ) + { + if ( power == 1 ) + { + if ( dbg ) + { + std::cerr << "|" << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " | : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) <sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ); + } + else + { + if ( power < std::numeric_limits::max() ) + { + result += std::pow( fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) , power ); + } + else + { + //nax morm + if ( result < fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) )result = fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ); + } + if ( dbg ) + { + std::cerr << "| " << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) <sorted_vector_of_distances.size() != second_.sorted_vector_of_distances.size() ) + { + if ( this->sorted_vector_of_distances.size() > second_.sorted_vector_of_distances.size() ) + { + for ( size_t i = second_.sorted_vector_of_distances.size() ; i != this->sorted_vector_of_distances.size() ; ++i ) + { + result += fabs( this->sorted_vector_of_distances[i] ); + } + } + else + { + //this->sorted_vector_of_distances.size() < second_.sorted_vector_of_distances.size() + for ( size_t i = this->sorted_vector_of_distances.size() ; i != second_.sorted_vector_of_distances.size() ; ++i ) + { + result += fabs( second_.sorted_vector_of_distances[i] ); + } + } + } + + + if ( power != 1 ) + { + result = std::pow( result , (1.0/power) ); + } + return result; +} + +template < typename F> +std::vector Vector_distances_in_diagram::vectorize( int number_of_function )const +{ + if ( (size_t)number_of_function > this->number_of_functions_for_vectorization )throw "Wrong index of a function in a method Vector_distances_in_diagram::vectorize"; + if ( number_of_function < 0 )throw "Wrong index of a function in a method Vector_distances_in_diagram::vectorize"; + + std::vector< double > result( std::min( (size_t)number_of_function , this->sorted_vector_of_distances.size() ) ); + for ( size_t i = 0 ; i != std::min( (size_t)number_of_function , this->sorted_vector_of_distances.size() ) ; ++i ) + { + result[i] = this->sorted_vector_of_distances[i]; + } + return result; +} + + +template < typename F> +void Vector_distances_in_diagram::write_to_file( const char* filename )const +{ + std::ofstream out; + out.open( filename ); + + for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) + { + out << this->sorted_vector_of_distances[i] << " "; + } + + out.close(); +} + +template < typename F> +void Vector_distances_in_diagram::load_from_file( const char* filename ) +{ + std::ifstream in; + in.open( filename ); + //check if the file exist. + if ( !in.good() ) + { + std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; + throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; + } + + double number; + while ( true ) + { + in >> number; + if ( in.eof() )break; + this->sorted_vector_of_distances.push_back(number); + } + in.close(); +} + +template < typename F> +double Vector_distances_in_diagram::compute_scalar_product( const Vector_distances_in_diagram& second_vector )const +{ + double result = 0; + for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(),second_vector.sorted_vector_of_distances.size()) ; ++i ) + { + result += this->sorted_vector_of_distances[i] * second_vector.sorted_vector_of_distances[i]; + } + return result; +} + + + + + +}//namespace Gudhi_stat +}//namespace Gudhi + + +#endif // Vector_distances_in_diagram_H diff --git a/src/Gudhi_stat/include/gudhi/persistence_vectors.h b/src/Gudhi_stat/include/gudhi/persistence_vectors.h deleted file mode 100644 index d623dd0d..00000000 --- a/src/Gudhi_stat/include/gudhi/persistence_vectors.h +++ /dev/null @@ -1,777 +0,0 @@ -/* 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 . - */ - - -#ifndef Vector_distances_in_diagram_H -#define Vector_distances_in_diagram_H - -#include -#include -#include -#include -#include - -//gudhi include -#include -#include -#include - - -namespace Gudhi -{ -namespace Persistence_representations -{ - -/* -template -struct Euclidean_distance -{ - double operator() ( const std::pair< T,T >& f , const std::pair& s ) - { - return sqrt( (f.first-s.first)*(f.first-s.first) + (f.second-s.second)*(f.second-s.second) ); - } - double operator() ( const std::vector< T >& f , const std::vector < T >& s ) - { - if ( f.size() != s.size() ) - { - std::cerr << "Not compatible points dimensions in the procedure to compute Euclidean distance. The program will now terminate. \n"; - std::cout << f.size() << " , " << s.size() << std::endl; - throw "Not compatible points dimensions in the procedure to compute Euclidean distance. The program will now terminate. \n"; - } - double result = 0; - for ( size_t i = 0 ; i != f.size() ; ++i ) - { - result += ( f[i]-s[i] )*( f[i]-s[i] ); - } - return sqrt( result ); - } -}; -* */ - -template -struct Maximum_distance -{ - double operator() ( const std::pair< T,T >& f , const std::pair& s ) - { - return std::max( fabs( f.first - s.first ) , fabs( f.second - s.second ) ); - } -}; - - - - -/** -* This is an implementation of idea presented in the paper 'Stable Topological Signatures for Points on 3D Shapes' by -* M. Carriere, S. Y. Oudot and M. Ovsjanikov published in Computer Graphics Forum (proc. SGP 2015). -* The parameter of the class is the class that computes distance used to construct the vectors. The typical function is -* either Eucludean of maximum (Manhattan) distance. -* This class implements the following concepts: Vectorized_topological_data, Topological_data_with_distances, Real_valued_topological_data, Topological_data_with_averages, Topological_data_with_scalar_product -* -**/ - -template -class Vector_distances_in_diagram -{ -public: - /** - * The default constructor. - **/ - Vector_distances_in_diagram(){}; - - /** - * The constructor that takes as an input a multiset of persistence intervals (given as vector of birth-death pairs). The second parameter is the desiered length of the output vectors. - **/ - Vector_distances_in_diagram( const std::vector< std::pair< double , double > >& intervals , size_t where_to_cut ); - - /** - * The constructor taking as an input a file with birth-death pairs. The second parameter is the desiered length of the output vectors. - **/ - Vector_distances_in_diagram( const char* filename , size_t where_to_cut , unsigned dimension = std::numeric_limits::max() ); - - - /** - * Writing to a stream. - **/ - template - friend std::ostream& operator << ( std::ostream& out , const Vector_distances_in_diagram& d ) - { - for ( size_t i = 0 ; i != std::min( d.sorted_vector_of_distances.size() , d.where_to_cut) ; ++i ) - { - out << d.sorted_vector_of_distances[i] << " "; - } - return out; - } - - /** - * This procedure gives the value of a vector on a given position. - **/ - inline double vector_in_position( size_t position )const - { - if ( position >= this->sorted_vector_of_distances.size() )throw("Wrong position in accessing Vector_distances_in_diagram::sorted_vector_of_distances\n"); - return this->sorted_vector_of_distances[position]; - } - - /** - * Return a size of a vector. - **/ - inline size_t size()const{return this->sorted_vector_of_distances.size();} - - /** - * Write a vector to a file. - **/ - void write_to_file( const char* filename )const; - - /** - * Write a vector to a file. - **/ - void print_to_file( const char* filename )const - { - this->write_to_file( filename ); - } - - /** - * Loading a vector to a file. - **/ - void load_from_file( const char* filename ); - - /** - * Comparision operators: - **/ - bool operator == ( const Vector_distances_in_diagram& second )const - { - if ( this->sorted_vector_of_distances.size() != second.sorted_vector_of_distances.size() )return false; - for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) - { - if ( !almost_equal(this->sorted_vector_of_distances[i] , second.sorted_vector_of_distances[i]) )return false; - } - return true; - } - - bool operator != ( const Vector_distances_in_diagram& second )const - { - return !( *this == second ); - } - - - - - //Implementations of functions for various concepts. - /** - * Compute projection to real numbers of persistence vector. This function is required by the Real_valued_topological_data concept - * At the moment this function is not tested, since it is quite likelly to be changed in the future. Given this, when using it, keep in mind that it - * will be most likelly changed in the next versions. - **/ - double project_to_R( int number_of_function )const; - /** - * The function gives the number of possible projections to R. This function is required by the Real_valued_topological_data concept. - **/ - size_t number_of_projections_to_R()const - { - return this->number_of_functions_for_projections_to_reals; - } - - /** - * Compute a vectorization of a persistent vectors. It is required in a concept Vectorized_topological_data. - **/ - std::vector vectorize( int number_of_function )const; - /** - * This function return the number of functions that allows vectorization of a persisence vector. It is required in a concept Vectorized_topological_data. - **/ - size_t number_of_vectorize_functions()const - { - return this->number_of_functions_for_vectorization; - } - - /** - * Compute a average of two persistent vectors. This function is required by Topological_data_with_averages concept. - **/ - void compute_average( const std::vector< Vector_distances_in_diagram* >& to_average ); - - /** - * Compute a distance of two persistent vectors. This function is required in Topological_data_with_distances concept. - * For max norm distance, set power to std::numeric_limits::max() - **/ - double distance( const Vector_distances_in_diagram& second , double power = 1)const; - - /** - * Compute a scalar product of two persistent vectors. This function is required in Topological_data_with_scalar_product concept. - **/ - double compute_scalar_product( const Vector_distances_in_diagram& second )const; - //end of implementation of functions needed for concepts. - - - - - - - - - - - - - - - - - - - /** - * For visualization use output from vectorize and build histograms. - **/ - std::vector< double > output_for_visualization()const - { - return this->sorted_vector_of_distances; - } - - - /** - * Create a gnuplot script to vizualize the data structure. - **/ - void plot( const char* filename )const - { - std::stringstream gnuplot_script; - gnuplot_script << filename << "_GnuplotScript"; - std::ofstream out; - out.open( gnuplot_script.str().c_str() ); - out << "set style data histogram" << std::endl; - out << "set style histogram cluster gap 1" << std::endl; - out << "set style fill solid border -1" << std::endl; - out << "plot '-' notitle" << std::endl; - for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) - { - out << this->sorted_vector_of_distances[i] << std::endl; - } - out < get_x_range()const - { - return std::make_pair( 0 , this->sorted_vector_of_distances.size() ); - } - - /** - * The y-range of the persistence vector. - **/ - std::pair< double , double > get_y_range()const - { - if ( this->sorted_vector_of_distances.size() == 0 )return std::make_pair(0,0); - return std::make_pair( this->sorted_vector_of_distances[0] , 0); - } - - //arythmetic operations: - template < typename Operation_type > - friend Vector_distances_in_diagram operation_on_pair_of_vectors( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second , Operation_type opertion ) - { - Vector_distances_in_diagram result; - //Operation_type operation; - result.sorted_vector_of_distances.reserve(std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ); - for ( size_t i = 0 ; i != std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) - { - result.sorted_vector_of_distances.push_back( opertion( first.sorted_vector_of_distances[i] , second.sorted_vector_of_distances[i]) ); - } - if ( first.sorted_vector_of_distances.size() == std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ) - { - for ( size_t i = std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; - i != std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) - { - result.sorted_vector_of_distances.push_back( opertion(0,second.sorted_vector_of_distances[i]) ); - } - } - else - { - for ( size_t i = std::min( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; - i != std::max( first.sorted_vector_of_distances.size() , second.sorted_vector_of_distances.size() ) ; ++i ) - { - result.sorted_vector_of_distances.push_back( opertion(first.sorted_vector_of_distances[i],0) ); - } - } - return result; - }//operation_on_pair_of_vectors - - /** - * This function implements an operation of multiplying Vector_distances_in_diagram by a scalar. - **/ - Vector_distances_in_diagram multiply_by_scalar( double scalar )const - { - Vector_distances_in_diagram result; - result.sorted_vector_of_distances.reserve( this->sorted_vector_of_distances.size() ); - for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) - { - result.sorted_vector_of_distances.push_back( scalar * this->sorted_vector_of_distances[i] ); - } - return result; - }//multiply_by_scalar - - - - /** - * This function computes a sum of two objects of a type Vector_distances_in_diagram. - **/ - friend Vector_distances_in_diagram operator+( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second ) - { - return operation_on_pair_of_vectors( first , second , std::plus() ); - } - /** - * This function computes a difference of two objects of a type Vector_distances_in_diagram. - **/ - friend Vector_distances_in_diagram operator-( const Vector_distances_in_diagram& first , const Vector_distances_in_diagram& second ) - { - return operation_on_pair_of_vectors( first , second , std::minus() ); - } - /** - * This function computes a product of an object of a type Vector_distances_in_diagram with real number. - **/ - friend Vector_distances_in_diagram operator*( double scalar , const Vector_distances_in_diagram& A ) - { - return A.multiply_by_scalar( scalar ); - } - /** - * This function computes a product of an object of a type Vector_distances_in_diagram with real number. - **/ - friend Vector_distances_in_diagram operator*( const Vector_distances_in_diagram& A , double scalar ) - { - return A.multiply_by_scalar( scalar ); - } - /** - * This function computes a product of an object of a type Vector_distances_in_diagram with real number. - **/ - Vector_distances_in_diagram operator*( double scalar ) - { - return this->multiply_by_scalar( scalar ); - } - /** - * += operator for Vector_distances_in_diagram. - **/ - Vector_distances_in_diagram operator += ( const Vector_distances_in_diagram& rhs ) - { - *this = *this + rhs; - return *this; - } - /** - * -= operator for Vector_distances_in_diagram. - **/ - Vector_distances_in_diagram operator -= ( const Vector_distances_in_diagram& rhs ) - { - *this = *this - rhs; - return *this; - } - /** - * *= operator for Vector_distances_in_diagram. - **/ - Vector_distances_in_diagram operator *= ( double x ) - { - *this = *this*x; - return *this; - } - /** - * /= operator for Vector_distances_in_diagram. - **/ - Vector_distances_in_diagram operator /= ( double x ) - { - if ( x == 0 )throw( "In operator /=, division by 0. Program terminated." ); - *this = *this * (1/x); - return *this; - } - - -private: - std::vector< std::pair< double , double > > intervals; - std::vector< double > sorted_vector_of_distances; - size_t number_of_functions_for_vectorization; - size_t number_of_functions_for_projections_to_reals; - size_t where_to_cut; - - void compute_sorted_vector_of_distances_via_heap( size_t where_to_cut ); - void compute_sorted_vector_of_distances_via_vector_sorting( size_t where_to_cut ); - - Vector_distances_in_diagram( const std::vector< double >& sorted_vector_of_distances_ ):sorted_vector_of_distances(sorted_vector_of_distances_) - { - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); - } - - void set_up_numbers_of_functions_for_vectorization_and_projections_to_reals() - { - //warning, this function can be only called after filling in the intervals vector. - this->number_of_functions_for_vectorization = this->sorted_vector_of_distances.size(); - this->number_of_functions_for_projections_to_reals = this->sorted_vector_of_distances.size(); - } -}; - - -template -Vector_distances_in_diagram::Vector_distances_in_diagram( const std::vector< std::pair< double,double > >& intervals_ , size_t where_to_cut_ ):where_to_cut(where_to_cut_) -{ - std::vector< std::pair< double,double > > i( intervals_ ); - this->intervals = i; - //this->compute_sorted_vector_of_distances_via_heap( where_to_cut ); - this->compute_sorted_vector_of_distances_via_vector_sorting(where_to_cut); - this->set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); -} - -template -Vector_distances_in_diagram::Vector_distances_in_diagram( const char* filename , size_t where_to_cut , unsigned dimension ):where_to_cut(where_to_cut) -{ - std::vector< std::pair< double , double > > intervals; - if ( dimension == std::numeric_limits::max() ) - { - intervals = read_persistence_intervals_in_one_dimension_from_file( filename ); - } - else - { - intervals = read_persistence_intervals_in_one_dimension_from_file( filename , dimension ); - } - this->intervals = intervals; - this->compute_sorted_vector_of_distances_via_heap( where_to_cut ); - //this->compute_sorted_vector_of_distances_via_vector_sorting( where_to_cut ); - set_up_numbers_of_functions_for_vectorization_and_projections_to_reals(); -} - -template < typename F> -void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_heap( size_t where_to_cut ) -{ - - bool dbg = false; - if ( dbg ) - { - std::cerr << "Here are the intervals : \n"; - for ( size_t i = 0 ; i != this->intervals.size() ; ++i ) - { - std::cerr << this->intervals[i].first << " , " << this->intervals[i].second <intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size())); - - std::vector< double > heap( where_to_cut , std::numeric_limits::max() ); - std::make_heap (heap.begin(),heap.end()); - F f; - - //for every pair of points in the diagram, compute the minimum of their distance, and distance of those points from diagonal - for ( size_t i = 0 ; i < this->intervals.size() ; ++i ) - { - for ( size_t j = i+1 ; j < this->intervals.size() ; ++j ) - { - double value = std::min( - f( this->intervals[i] , this->intervals[j] ), - std::min( - f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ), - f( this->intervals[j] , std::make_pair( 0.5*(this->intervals[j].first+this->intervals[j].second) , 0.5*(this->intervals[j].first+this->intervals[j].second) ) ) - ) - ); - - if ( dbg ) - { - std::cerr << "Value : " << value <intervals.size() ; ++i ) - { - double value = f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ); - if ( -value < heap.front() ) - { - //std::cerr << "Replacing : " << heap.front() << " with : " << -value <::max() ) - { - heap[i] = 0; - } - else - { - heap[i] *= -1; - } - } - - if ( dbg ) - { - std::cerr << "This is the heap after all the operations :\n"; - for ( size_t i = 0 ; i != heap.size() ; ++i ) - { - std::cout << heap[i] << " "; - } - std::cout <sorted_vector_of_distances = heap; -} - - - - -template < typename F> -void Vector_distances_in_diagram::compute_sorted_vector_of_distances_via_vector_sorting( size_t where_to_cut ) -{ - std::vector< double > distances; - distances.reserve( (size_t)(0.5 * this->intervals.size() * ( this->intervals.size() - 1 ) + this->intervals.size()) ); - F f; - - //for every pair of points in the diagram, compute the minimum of their distance, and distance of those points from diagonal - for ( size_t i = 0 ; i < this->intervals.size() ; ++i ) - { - //add distance of i-th point in the diagram from the diagonal to the distances vector - distances.push_back( f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ) ); - for ( size_t j = i+1 ; j < this->intervals.size() ; ++j ) - { - double value = std::min( - f( this->intervals[i] , this->intervals[j] ), - std::min( - f( this->intervals[i] , std::make_pair( 0.5*(this->intervals[i].first+this->intervals[i].second) , 0.5*(this->intervals[i].first+this->intervals[i].second) ) ), - f( this->intervals[j] , std::make_pair( 0.5*(this->intervals[j].first+this->intervals[j].second) , 0.5*(this->intervals[j].first+this->intervals[j].second) ) ) - ) - ); - distances.push_back( value ); - - } - } - std::sort( distances.begin() , distances.end() , std::greater() ); - if ( distances.size() > where_to_cut )distances.resize( where_to_cut ); - - this->sorted_vector_of_distances = distances; -} - - - -//Implementations of functions for various concepts. -template -double Vector_distances_in_diagram::project_to_R( int number_of_function )const -{ - if ( (size_t)number_of_function > this->number_of_functions_for_projections_to_reals )throw "Wrong index of a function in a method Vector_distances_in_diagram::project_to_R"; - if ( number_of_function < 0 )throw "Wrong index of a function in a method Vector_distances_in_diagram::project_to_R"; - - double result = 0; - for ( size_t i = 0 ; i != (size_t)number_of_function ; ++i ) - { - result += sorted_vector_of_distances[i]; - } - return result; -} - -template -void Vector_distances_in_diagram::compute_average( const std::vector< Vector_distances_in_diagram* >& to_average ) -{ - - if ( to_average.size() == 0 ) - { - (*this) = Vector_distances_in_diagram(); - return; - } - - size_t maximal_length_of_vector = 0; - for ( size_t i = 0 ; i != to_average.size() ; ++i ) - { - if ( to_average[i]->sorted_vector_of_distances.size() > maximal_length_of_vector ) - { - maximal_length_of_vector = to_average[i]->sorted_vector_of_distances.size(); - } - } - - std::vector< double > av( maximal_length_of_vector , 0 ); - for ( size_t i = 0 ; i != to_average.size() ; ++i ) - { - for ( size_t j = 0 ; j != to_average[i]->sorted_vector_of_distances.size() ; ++j ) - { - av[j] += to_average[i]->sorted_vector_of_distances[j]; - } - } - - for ( size_t i = 0 ; i != maximal_length_of_vector ; ++i ) - { - av[i] /= (double)to_average.size(); - } - this->sorted_vector_of_distances = av; - this->where_to_cut = av.size(); -} - -template -double Vector_distances_in_diagram::distance( const Vector_distances_in_diagram& second_ , double power )const -{ - bool dbg = false; - - if ( dbg ) - { - std::cerr << "Entering double Vector_distances_in_diagram::distance( const Abs_Topological_data_with_distances* second , double power ) procedure \n"; - std::cerr << "Power : " << power << std::endl; - std::cerr << "This : " << *this << std::endl; - std::cerr << "second : " << second_ << std::endl; - } - - - double result = 0; - for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(), second_.sorted_vector_of_distances.size()) ; ++i ) - { - if ( power == 1 ) - { - if ( dbg ) - { - std::cerr << "|" << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " | : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) <sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ); - } - else - { - if ( power < std::numeric_limits::max() ) - { - result += std::pow( fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) , power ); - } - else - { - //nax morm - if ( result < fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) )result = fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ); - } - if ( dbg ) - { - std::cerr << "| " << this->sorted_vector_of_distances[i] << " - " << second_.sorted_vector_of_distances[i] << " : " << fabs( this->sorted_vector_of_distances[i] - second_.sorted_vector_of_distances[i] ) <sorted_vector_of_distances.size() != second_.sorted_vector_of_distances.size() ) - { - if ( this->sorted_vector_of_distances.size() > second_.sorted_vector_of_distances.size() ) - { - for ( size_t i = second_.sorted_vector_of_distances.size() ; i != this->sorted_vector_of_distances.size() ; ++i ) - { - result += fabs( this->sorted_vector_of_distances[i] ); - } - } - else - { - //this->sorted_vector_of_distances.size() < second_.sorted_vector_of_distances.size() - for ( size_t i = this->sorted_vector_of_distances.size() ; i != second_.sorted_vector_of_distances.size() ; ++i ) - { - result += fabs( second_.sorted_vector_of_distances[i] ); - } - } - } - - - if ( power != 1 ) - { - result = std::pow( result , (1.0/power) ); - } - return result; -} - -template < typename F> -std::vector Vector_distances_in_diagram::vectorize( int number_of_function )const -{ - if ( (size_t)number_of_function > this->number_of_functions_for_vectorization )throw "Wrong index of a function in a method Vector_distances_in_diagram::vectorize"; - if ( number_of_function < 0 )throw "Wrong index of a function in a method Vector_distances_in_diagram::vectorize"; - - std::vector< double > result( std::min( (size_t)number_of_function , this->sorted_vector_of_distances.size() ) ); - for ( size_t i = 0 ; i != std::min( (size_t)number_of_function , this->sorted_vector_of_distances.size() ) ; ++i ) - { - result[i] = this->sorted_vector_of_distances[i]; - } - return result; -} - - -template < typename F> -void Vector_distances_in_diagram::write_to_file( const char* filename )const -{ - std::ofstream out; - out.open( filename ); - - for ( size_t i = 0 ; i != this->sorted_vector_of_distances.size() ; ++i ) - { - out << this->sorted_vector_of_distances[i] << " "; - } - - out.close(); -} - -template < typename F> -void Vector_distances_in_diagram::load_from_file( const char* filename ) -{ - std::ifstream in; - in.open( filename ); - //check if the file exist. - if ( !in.good() ) - { - std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; - throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; - } - - double number; - while ( true ) - { - in >> number; - if ( in.eof() )break; - this->sorted_vector_of_distances.push_back(number); - } - in.close(); -} - -template < typename F> -double Vector_distances_in_diagram::compute_scalar_product( const Vector_distances_in_diagram& second_vector )const -{ - double result = 0; - for ( size_t i = 0 ; i != std::min(this->sorted_vector_of_distances.size(),second_vector.sorted_vector_of_distances.size()) ; ++i ) - { - result += this->sorted_vector_of_distances[i] * second_vector.sorted_vector_of_distances[i]; - } - return result; -} - - - - - -}//namespace Gudhi_stat -}//namespace Gudhi - - -#endif // Vector_distances_in_diagram_H diff --git a/src/Gudhi_stat/include/gudhi/read_persistence_from_file.h b/src/Gudhi_stat/include/gudhi/read_persistence_from_file.h index 39b3ca7b..f869f8e2 100644 --- a/src/Gudhi_stat/include/gudhi/read_persistence_from_file.h +++ b/src/Gudhi_stat/include/gudhi/read_persistence_from_file.h @@ -38,67 +38,6 @@ namespace Persistence_representations { -/** - * This procedure reads birth-death dagta from a file. We assume that in the file, there may be one type of string 'inf' or 'Inf'. If the second parameter of the program is set to -1, - * then those vales are ignored. If the second parameter of this program is set to a positive value, then the infinite intervals will be substituted by that number. -**/ -std::vector< std::pair< double,double > > read_persistence_file_that_may_contain_inf_string( const char* filename , double what_to_substitute_for_infinite_bar = -1 ) -{ - - bool dbg = true; - - std::ifstream in(filename); - if ( !in.good() ) - { - std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; - throw "The file from which you are trying to read do not exist. The program will now terminate \n"; - } - - std::string line; - std::vector< std::pair > barcode; - - while (!in.eof()) - { - getline(in,line); - if ( !(line.length() == 0 || line[0] == '#') ) - { - std::stringstream lineSS(line); - double beginn, endd; - if ( (line.find("inf") != std::string::npos) || (line.find("Inf") != std::string::npos) ) - { - if ( dbg ) - { - std::cerr << "This line: " << line << " contains infinite interval. We will skip it. \n"; - } - if ( what_to_substitute_for_infinite_bar != -1 ) - { - lineSS >> beginn; - endd = what_to_substitute_for_infinite_bar; - } - else - { - continue; - } - } - else - { - lineSS >> beginn; - lineSS >> endd; - } - if ( beginn > endd ) - { - std::swap(beginn,endd); - } - if ( dbg ) - { - std::cerr << "Getting an interval : " << beginn << "," << endd << std::endl; - } - barcode.push_back( std::make_pair( beginn , endd ) ); - } - } - return barcode; -}//readFileNames - /** * This procedure reads names of files which are stored in a file. @@ -130,7 +69,7 @@ std::vector< std::string > readFileNames( const char* filenameWithFilenames ) } else { - result.push_back( line.c_str() ); + result.push_back( line ); if (dbg){std::cerr << "Line after removing white spaces : " << line << std::endl;} } } @@ -140,140 +79,6 @@ std::vector< std::string > readFileNames( const char* filenameWithFilenames ) }//readFileNames -/** - * This method reads persistence from standalone file. The format of the file is as follows: - * In every line there are two numbers which denotes birth and death of a persistence interval. The file is not supposed to contains any nonwhite characters excet from digits. In particular symbols - * like 'inf' are not allowed. - * If begin of the interval is greater than the end of the interval, those two numbers are swapped. -**/ -std::vector< std::pair< double , double > > read_standard_persistence_file( const char* filename ) -{ - bool dbg = false; - - std::ifstream in; - in.open( filename ); - if ( !in.good() ) - { - std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; - throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; - } - - std::string line; - std::vector< std::pair > barcode; - - while (!in.eof()) - { - getline(in,line); - if ( !(line.length() == 0 || line[0] == '#') ) - { - std::stringstream lineSS(line); - double beginn, endd; - lineSS >> beginn; - lineSS >> endd; - if ( beginn == endd )continue; - if ( beginn > endd ) - { - std::swap(beginn,endd); - } - barcode.push_back( std::make_pair( beginn , endd ) ); - if (dbg) - { - std::cerr << beginn << " , " << endd << std::endl; - } - } - } - in.close(); - return barcode; -}//read_standard_file - - - -/** - * This procedure reads Gudhi style file. The format of a Gudhi style file is as follows: - * Each line consist of the following information: - * A prime number p indicating that the class is nontrivial over Z_p field. - * A positive numebr, being a dimension of a persistence class - * A birth and a death time of a class. - * Death time may be infitnity, in which case a string 'inf' is used. - * If begin of the interval is greater than the end of the interval, those two numbers are swapped. - * Note that this procedure reads persistence in a single dimension. The dimension of intervals that - * are to be read are determined by the second parameter of the function. -**/ -std::vector< std::pair< double , double > > read_gudhi_persistence_file_in_one_dimension( const char* filename , size_t dimension = 0 , double what_to_substitute_for_infinite_bar = -1) -{ - bool dbg = false; - std::ifstream in; - in.open( filename ); - if ( !in.good() ) - { - std::cerr << "The file : " << filename << " do not exist. The program will now terminate \n"; - throw "The file from which you are trying to read the persistence landscape do not exist. The program will now terminate \n"; - } - - - std::string line; - std::vector< std::pair > barcode; - - while (!in.eof()) - { - getline(in,line); - if ( !(line.length() == 0 || line[0] == '#') ) - { - if ( line.find("inf") != std::string::npos ) - { - if ( dbg ) - { - std::cerr << "This line: " << line << " contains infinite interval. We will skip it. \n"; - } - if ( what_to_substitute_for_infinite_bar != -1 ) - { - double beginn, field, dim; - std::stringstream lineSS(line); - lineSS >> field; - lineSS >> dim; - lineSS >> beginn; - if ( dim == dimension ) - { - if ( beginn > what_to_substitute_for_infinite_bar ) - { - barcode.push_back( std::make_pair( what_to_substitute_for_infinite_bar , beginn ) ); - } - else - { - barcode.push_back( std::make_pair( beginn , what_to_substitute_for_infinite_bar ) ); - } - if (dbg) - { - std::cerr << beginn << " , " << what_to_substitute_for_infinite_bar << std::endl; - } - } - } - continue; - } - std::stringstream lineSS(line); - double beginn, endd, field, dim; - lineSS >> field; - lineSS >> dim; - lineSS >> beginn; - lineSS >> endd; - if ( beginn > endd ) - { - std::swap(beginn,endd); - } - if ( dim == dimension ) - { - barcode.push_back( std::make_pair( beginn , endd ) ); - if (dbg) - { - std::cerr << beginn << " , " << endd << std::endl; - } - } - } - } - in.close(); - return barcode; -}//read_gudhi_file - std::vector< std::vector< double > > read_numbers_from_file_line_by_line( const char* filename ) { @@ -315,14 +120,14 @@ std::vector< std::vector< double > > read_numbers_from_file_line_by_line( const /** * Universal procedure to read files with persistence. It ignores the lines starting from # (treat them as comments). * It reads the fist line which is not a comment and assume that there are some numerical entries over there. The program assume - * that each other line in the file, which is not a comment, have the same number of numerical entries. + * that each other line in the file, which is not a comment, have the same number of numerical entries (2, 3 or 4). * If there are two numerical entries per line, then the function assume that they are birth/death coordinates. * If there are three numerical entries per line, then the function assume that they are: dimension and birth/death coordinates. * If there are four numerical entries per line, then the function assume that they are: thc characteristic of a filed over which * persistence was computed, dimension and birth/death coordinates. * The procedure returns vector of persistence pairs. **/ -std::vector> read_persistence_intervals_in_one_dimension_from_file(std::string const& filename, int dimension=-1 , double what_to_substitute_for_infinite_bar = -1 ) +std::vector > read_persistence_intervals_in_one_dimension_from_file(std::string const& filename, int dimension=-1 , double what_to_substitute_for_infinite_bar = -1 ) { bool dbg = false; std::ifstream in; @@ -348,6 +153,7 @@ std::vector> read_persistence_intervals_in_one_dimensio if ( dbg )std::cerr << "Reading line : " << line << std::endl; if ( !(line.length() == 0 || line[0] == '#') ) { + //If we do not know how many entries per line we have, we check it in below. if ( number_of_entries_per_line == -1 ) { //check how many entries we have in the line. @@ -371,6 +177,7 @@ std::vector> read_persistence_intervals_in_one_dimensio throw "The input file you have provided have wrong number of numerical entries per line. The program will now terminate. \n"; } } + //In case there is an 'inf' string in this line, we are dealing with this situation in below. if ( line.find("inf") != std::string::npos ) { if ( dbg ) @@ -416,6 +223,7 @@ std::vector> read_persistence_intervals_in_one_dimensio } continue; } + //Then, we read the content of the line: std::stringstream lineSS(line); double beginn, endd, field, dim; if ( number_of_entries_per_line == 4 )lineSS >> field; @@ -441,6 +249,13 @@ std::vector> read_persistence_intervals_in_one_dimensio std::cerr << "This is a line that is going to the output : " << beginn << " , " << endd << std::endl; } } + else + { + if ( (number_of_entries_per_line==3) && (dimension == -1) ) + { + barcode.push_back( std::make_pair( beginn , endd ) ); + } + } } else { diff --git a/src/Gudhi_stat/test/CMakeLists.txt b/src/Gudhi_stat/test/CMakeLists.txt index 62335c77..b8e9cc48 100644 --- a/src/Gudhi_stat/test/CMakeLists.txt +++ b/src/Gudhi_stat/test/CMakeLists.txt @@ -113,3 +113,8 @@ add_test(NAME 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) + + + +#add_executable ( private_test private_test.cpp ) +#target_link_libraries(private_test ${Boost_SYSTEM_LIBRARY} ${Boost_UNIT_TEST_FRAMEWORK_LIBRARY}) diff --git a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp index 971993ed..865a8280 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_on_grid_test.cpp @@ -229,10 +229,10 @@ BOOST_AUTO_TEST_CASE(check_computations_of_maxima_and_norms) BOOST_AUTO_TEST_CASE(check_default_parameters_of_distances ) { - std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); + 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_standard_persistence_file( "data/file_with_diagram_1" ); + 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() ); diff --git a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp index e401e075..253b06d7 100644 --- a/src/Gudhi_stat/test/persistence_lanscapes_test.cpp +++ b/src/Gudhi_stat/test/persistence_lanscapes_test.cpp @@ -44,7 +44,7 @@ double epsilon = 0.0000005; BOOST_AUTO_TEST_CASE(check_construction_of_landscape) { - std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); + 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" ); @@ -64,7 +64,7 @@ BOOST_AUTO_TEST_CASE(check_construction_of_landscape_form_gudhi_style_file) BOOST_AUTO_TEST_CASE(check_computations_of_integrals) { - std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); + 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; @@ -74,7 +74,7 @@ BOOST_AUTO_TEST_CASE(check_computations_of_integrals) BOOST_AUTO_TEST_CASE(check_computations_of_integrals_for_each_level_separatelly) { - std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); + 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; @@ -118,7 +118,7 @@ BOOST_AUTO_TEST_CASE(check_computations_of_integrals_for_each_level_separatelly) BOOST_AUTO_TEST_CASE(check_computations_of_integrals_of_powers_of_landscape) { - std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); + 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; @@ -137,7 +137,7 @@ BOOST_AUTO_TEST_CASE(check_computations_of_integrals_of_powers_of_landscape) BOOST_AUTO_TEST_CASE(check_computations_of_values_on_different_points) { - std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); + std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( "data/file_with_diagram" ); Persistence_landscape p( diag ); @@ -158,7 +158,7 @@ BOOST_AUTO_TEST_CASE(check_computations_of_values_on_different_points) BOOST_AUTO_TEST_CASE(check_computations_sum_differences_and_multiplications) { - std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); + 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" ); @@ -186,7 +186,7 @@ BOOST_AUTO_TEST_CASE(check_computations_sum_differences_and_multiplications) BOOST_AUTO_TEST_CASE(check_computations_of_maxima_and_norms) { - std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); + 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" ); @@ -204,10 +204,10 @@ BOOST_AUTO_TEST_CASE(check_computations_of_maxima_and_norms) BOOST_AUTO_TEST_CASE(check_default_parameters_of_distances ) { - std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); + 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_standard_persistence_file( "data/file_with_diagram_1" ); + 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() ); @@ -218,9 +218,9 @@ BOOST_AUTO_TEST_CASE(check_default_parameters_of_distances ) BOOST_AUTO_TEST_CASE(check_computations_of_averages) { - std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); + 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_standard_persistence_file( "data/file_with_diagram_1" ); + 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} ); @@ -235,9 +235,9 @@ BOOST_AUTO_TEST_CASE(check_computations_of_averages) BOOST_AUTO_TEST_CASE(check_computations_of_distances) { - std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); + 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_standard_persistence_file( "data/file_with_diagram_1" ); + 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 ); @@ -247,9 +247,9 @@ BOOST_AUTO_TEST_CASE(check_computations_of_distances) BOOST_AUTO_TEST_CASE(check_computations_of_scalar_product) { - std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); + 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_standard_persistence_file( "data/file_with_diagram_1" ); + 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 ); } diff --git a/src/Gudhi_stat/test/vector_representation_test.cpp b/src/Gudhi_stat/test/vector_representation_test.cpp index 3ef3427c..5e185445 100644 --- a/src/Gudhi_stat/test/vector_representation_test.cpp +++ b/src/Gudhi_stat/test/vector_representation_test.cpp @@ -21,7 +21,7 @@ */ -#include +#include #include #include @@ -319,10 +319,10 @@ BOOST_AUTO_TEST_CASE(check_distance_computations) BOOST_AUTO_TEST_CASE(check_default_parameters_of_distances ) { - std::vector< std::pair< double , double > > diag = read_standard_persistence_file( "data/file_with_diagram" ); + 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_standard_persistence_file( "data/file_with_diagram_1" ); + 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() ); diff --git a/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp index 126a0bf7..320d1f63 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/average_persistence_vectors.cpp @@ -21,7 +21,7 @@ */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp index 3320defd..39e24cd7 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/compute_distance_of_persistence_vectors.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp index 3f6e9c6c..7a1bbaf0 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/compute_scalar_product_of_persistence_vectors.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp index fd8b544c..634bcb13 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/create_persistence_vectors.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include diff --git a/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp b/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp index f52e6044..c72fc1ee 100644 --- a/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp +++ b/src/Gudhi_stat/utilities/persistence_vectors/plot_persistence_vectors.cpp @@ -20,7 +20,7 @@ * along with this program. If not, see . */ -#include +#include -- cgit v1.2.3