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authorpdlotko <pdlotko@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2015-11-27 14:16:44 +0000
committerpdlotko <pdlotko@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2015-11-27 14:16:44 +0000
commit39ffc7af64543f0b2ce17487771afbd010a97349 (patch)
tree3f2736153e927cf6bc23f8c8bf0a0f868bf2cc6c /src/Bitmap_cubical_complex/include/gudhi/Bitmap_cubical_complex_base.h
parent606115b399b010b8ebfbf13f6a8ca2b1c1bf17cd (diff)
Adding changes to the cubcial complex class according to Marc and Vincent's comments.
git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/bitmap@930 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: cb9134a5c18fae3e2e63bbaf8329dd168d08d3b3
Diffstat (limited to 'src/Bitmap_cubical_complex/include/gudhi/Bitmap_cubical_complex_base.h')
-rw-r--r--src/Bitmap_cubical_complex/include/gudhi/Bitmap_cubical_complex_base.h1352
1 files changed, 759 insertions, 593 deletions
diff --git a/src/Bitmap_cubical_complex/include/gudhi/Bitmap_cubical_complex_base.h b/src/Bitmap_cubical_complex/include/gudhi/Bitmap_cubical_complex_base.h
index d9c91832..2c2bd481 100644
--- a/src/Bitmap_cubical_complex/include/gudhi/Bitmap_cubical_complex_base.h
+++ b/src/Bitmap_cubical_complex/include/gudhi/Bitmap_cubical_complex_base.h
@@ -1,593 +1,759 @@
-/* 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 <http://www.gnu.org/licenses/>.
- */
-
-#ifndef BITMAP_CUBICAL_COMPLEX_BASE_H_
-#define BITMAP_CUBICAL_COMPLEX_BASE_H_
-
-#include <gudhi/counter.h>
-
-#include <iostream>
-#include <string>
-#include <vector>
-#include <cstdlib>
-#include <climits>
-#include <fstream>
-#include <algorithm>
-#include <iterator>
-
-/**
- * This is a class implementing a basic bitmap data structure to store cubical complexes. It implements only the most basic subroutines.
- * The idea of the bitmap is the following. Our aim is to have a memory efficient data structure to store d-dimensional cubical complex C being a cubical decomposition
- * of a rectangular region of a space. This is achieved by storing C as a vector of bits (this is where the name 'bitmap' came from). Each cell is represented by a single
- * bit (in case of black and white bitmaps, or by a single element of a type T (here T is a filtration type of a bitmap, typically a double). All the informations needed for homology and
- * persistent homology computations (like dimension of a cell, boundary and coboundary elements of a cell, are then obtained from the position of the element in C.
- */
-template <typename T>
-class Bitmap_cubical_complex_base {
- public:
- /**
- * There are a few constructors of a Bitmap_cubical_complex_base class. First one, that takes vector<unsigned>, creates an empty bitmap of a dimension equal to the number of elements in the
- * input vector and size in the i-th dimension equal the number in the position i-of the input vector.
- */
- Bitmap_cubical_complex_base(std::vector<unsigned> sizes_);
- /**
- * The second constructor takes as a input a Perseus style file. For more details, please consult the documentations of Perseus software as well as examples attached to this
- * implementation.
- **/
- Bitmap_cubical_complex_base(char* perseusStyleFile_);
- /**
- * The last constructor of a Bitmap_cubical_complex_base class accepts vector of dimensions (as the first one) together with vector of filtration values of top dimensional cells.
- **/
- Bitmap_cubical_complex_base(std::vector<unsigned> dimensions_, std::vector<T> topDimensionalCells_);
-
- /**
- * The functions get_boundary_of_a_cell, get_coboundary_of_a_cell and get_cell_data are the basic functions that compute boundary / coboundary / dimension and the filtration
- * value form a position of a cell in the structure of a bitmap. The input parameter of all of those function is a non-negative integer, indicating a position of a cube in the data structure.
- * In the case of functions that compute (co)boundary, the output is a vector if non-negative integers pointing to the positions of (co)boundary element of the input cell.
- */
- inline std::vector< size_t > get_boundary_of_a_cell(size_t cell_);
- /**
- * The functions get_boundary_of_a_cell, get_coboundary_of_a_cell, get_dimension_of_a_cell and get_cell_data are the basic functions that compute boundary / coboundary / dimension and the filtration
- * value form a position of a cell in the structure of a bitmap. The input parameter of all of those function is a non-negative integer, indicating a position of a cube in the data structure.
- * In the case of functions that compute (co)boundary, the output is a vector if non-negative integers pointing to the positions of (co)boundary element of the input cell.
- **/
- inline std::vector< size_t > get_coboundary_of_a_cell(size_t cell_);
- /**
- * In the case of get_dimension_of_a_cell function, the output is a non-negative integer indicating the dimension of a cell.
- **/
- inline unsigned get_dimension_of_a_cell(size_t cell_);
- /**
- * In the case of get_cell_data, the output parameter is a reference to the value of a cube in a given position.
- **/
- inline T& get_cell_data(size_t cell_);
-
-
- /**
- * Typical input used to construct a baseBitmap class is a filtration given at the top dimensional cells. Then, there are a few ways one can pick the filtration of lower dimensional
- * cells. The most typical one is by so called lower star filtration. This function is always called by any constructor which takes the top dimensional cells. If you use such a constructor,
- * then there is no need to call this function. Call it only if you are putting the filtration of the cells by your own (for instance by using topDimensionalCellsIterator).
- **/
- void impose_lower_star_filtration(); // assume that top dimensional cells are already set.
-
- /**
- * Returns dimension of a complex.
- **/
- inline unsigned dimension() {
- return sizes.size();
- }
-
- /**
- * Returns number of all cubes in the data structure.
- **/
- inline unsigned size_of_bitmap() {
- return this->data.size();
- }
-
- /**
- * Writing to stream operator.
- **/
- template <typename K>
- friend std::ostream& operator<<(std::ostream & os_, const Bitmap_cubical_complex_base<K>& b_);
-
- // ITERATORS
-
- /**
- * Iterator through all cells in the complex (in order they appear in the structure -- i.e. in lexicographical order).
- **/
- typedef typename std::vector< T >::iterator all_cells_iterator;
-
- all_cells_iterator all_cells_begin()const {
- return this->data.begin();
- }
-
- all_cells_iterator all_cells_end()const {
- return this->data.end();
- }
-
-
- typedef typename std::vector< T >::const_iterator all_cells_const_iterator;
-
- all_cells_const_iterator all_cells_const_begin()const {
- return this->data.begin();
- }
-
- all_cells_const_iterator all_cells_const_end()const {
- return this->data.end();
- }
-
- /**
- * Iterator through top dimensional cells of the complex. The cells appear in order they are stored in the structure (i.e. in lexicographical order)
- **/
- class Top_dimensional_cells_iterator : std::iterator< std::input_iterator_tag, double > {
- public:
- Top_dimensional_cells_iterator(Bitmap_cubical_complex_base& b_) : b(b_) {
- for (size_t i = 0; i != b_.dimension(); ++i) {
- this->counter.push_back(0);
- }
- }
-
- Top_dimensional_cells_iterator operator++() {
- // first find first element of the counter that can be increased:
- size_t dim = 0;
- while ((dim != this->b.dimension()) && (this->counter[dim] == this->b.sizes[dim] - 1))++dim;
-
- if (dim != this->b.dimension()) {
- ++this->counter[dim];
- for (size_t i = 0; i != dim; ++i) {
- this->counter[i] = 0;
- }
- } else {
- ++this->counter[0];
- }
- return *this;
- }
-
- Top_dimensional_cells_iterator operator++(int) {
- Top_dimensional_cells_iterator result = *this;
- ++(*this);
- return result;
- }
-
- Top_dimensional_cells_iterator operator=(const Top_dimensional_cells_iterator& rhs_) {
- this->counter = rhs_.counter;
- this->b = rhs_.b;
- return *this;
- }
-
- bool operator==(const Top_dimensional_cells_iterator& rhs_) {
- if (&this->b != &rhs_.b)return false;
- if (this->counter.size() != rhs_.counter.size())return false;
- for (size_t i = 0; i != this->counter.size(); ++i) {
- if (this->counter[i] != rhs_.counter[i])return false;
- }
- return true;
- }
-
- bool operator!=(const Top_dimensional_cells_iterator& rhs_) {
- return !(*this == rhs_);
- }
-
- T& operator*() {
- // given the counter, compute the index in the array and return this element.
- unsigned index = 0;
- for (size_t i = 0; i != this->counter.size(); ++i) {
- index += (2 * this->counter[i] + 1) * this->b.multipliers[i];
- }
- return this->b.data[index];
- }
-
- size_t computeIndexInBitmap() {
- size_t index = 0;
- for (size_t i = 0; i != this->counter.size(); ++i) {
- index += (2 * this->counter[i] + 1) * this->b.multipliers[i];
- }
- return index;
- }
-
- void printCounter() {
- for (size_t i = 0; i != this->counter.size(); ++i) {
- std::cout << this->counter[i] << " ";
- }
- }
- friend class Bitmap_cubical_complex_base;
- protected:
- std::vector< unsigned > counter;
- Bitmap_cubical_complex_base& b;
- };
-
- Top_dimensional_cells_iterator top_dimensional_cells_begin() {
- Top_dimensional_cells_iterator a(*this);
- return a;
- }
-
- Top_dimensional_cells_iterator top_dimensional_cells_end() {
- Top_dimensional_cells_iterator a(*this);
- for (size_t i = 0; i != this->dimension(); ++i) {
- a.counter[i] = this->sizes[i] - 1;
- }
- a.counter[0]++;
- return a;
- }
-
-
- //****************************************************************************************************************//
- //****************************************************************************************************************//
- //****************************************************************************************************************//
- //****************************************************************************************************************//
-
-
- //****************************************************************************************************************//
- //****************************************************************************************************************//
- //****************************************************************************************************************//
- //****************************************************************************************************************//
-
- protected:
- std::vector<unsigned> sizes;
- std::vector<unsigned> multipliers;
- std::vector<T> data;
- size_t totalNumberOfCells;
-
- void set_up_containers(std::vector<unsigned> sizes_) {
- unsigned multiplier = 1;
- for (size_t i = 0; i != sizes_.size(); ++i) {
- this->sizes.push_back(sizes_[i]);
- this->multipliers.push_back(multiplier);
- // multiplier *= 2*(sizes[i]+1)+1;
- multiplier *= 2 * sizes_[i] + 1;
- }
- // std::reverse( this->sizes.begin() , this->sizes.end() );
- std::vector<T> data(multiplier);
- std::fill(data.begin(), data.end(), INT_MAX);
- this->totalNumberOfCells = multiplier;
- this->data = data;
- }
-
- size_t compute_position_in_bitmap(std::vector< int > counter_) {
- size_t position = 0;
- for (size_t i = 0; i != this->multipliers.size(); ++i) {
- position += this->multipliers[i] * counter_[i];
- }
- return position;
- }
-
- std::vector<unsigned> compute_counter_for_given_cell(size_t cell_) {
- std::vector<unsigned> counter;
- for (size_t dim = this->sizes.size(); dim != 0; --dim) {
- counter.push_back(cell_ / this->multipliers[dim - 1]);
- cell_ = cell_ % this->multipliers[dim - 1];
- }
- std::reverse(counter.begin(), counter.end());
- return counter;
- }
-
- std::vector< size_t > generate_vector_of_shifts_for_bitmaps_with_periodic_boundary_conditions(std::vector< bool > directionsForPeriodicBCond_);
-};
-
-template <typename K>
-std::ostream& operator<<(std::ostream & out_, const Bitmap_cubical_complex_base<K>& b_) {
- // for ( typename bitmap<K>::all_cells_const_iterator it = b.all_cells_const_begin() ;
- // it != b.all_cells_const_end() ; ++it )
- for (typename Bitmap_cubical_complex_base<K>::all_cells_const_iterator it = b_.all_cells_const_begin();
- it != b_.all_cells_const_end(); ++it) {
- out_ << *it << " ";
- }
- return out_;
-}
-
-template <typename T>
-Bitmap_cubical_complex_base<T>::Bitmap_cubical_complex_base(std::vector<unsigned> sizes_) {
- this->set_up_containers(sizes_);
-}
-
-template <typename T>
-Bitmap_cubical_complex_base<T>::Bitmap_cubical_complex_base(std::vector<unsigned> sizesInFollowingDirections_,
- std::vector<T> topDimensionalCells_) {
- this->set_up_containers(sizesInFollowingDirections_);
-
- size_t numberOfTopDimensionalElements = 1;
- for (size_t i = 0; i != sizesInFollowingDirections_.size(); ++i) {
- numberOfTopDimensionalElements *= sizesInFollowingDirections_[i];
- }
- if (numberOfTopDimensionalElements != topDimensionalCells_.size()) {
- std::cerr << "Error in constructor Bitmap_cubical_complex_base( std::vector<size_t> sizesInFollowingDirections_ , "
- "std::vector<float> topDimensionalCells_ ). Number of top dimensional elements that follow from "
- "sizesInFollowingDirections vector is different than the size of topDimensionalCells vector." << std::endl;
- throw("Error in constructor Bitmap_cubical_complex_base( std::vector<size_t> sizesInFollowingDirections_ , "
- "std::vector<float> topDimensionalCells_ ). Number of top dimensional elements that follow from "
- "sizesInFollowingDirections vector is different than the size of topDimensionalCells vector.");
- }
-
- Bitmap_cubical_complex_base<T>::Top_dimensional_cells_iterator it(*this);
- size_t index = 0;
- for (it = this->top_dimensional_cells_begin(); it != this->top_dimensional_cells_end(); ++it) {
- (*it) = topDimensionalCells_[index];
- ++index;
- }
- this->impose_lower_star_filtration();
-}
-
-template <typename T>
-Bitmap_cubical_complex_base<T>::Bitmap_cubical_complex_base(char* perseusStyleFile_) {
- bool dbg = false;
- std::ifstream inFiltration, inIds;
- inFiltration.open(perseusStyleFile_);
- unsigned dimensionOfData;
- inFiltration >> dimensionOfData;
-
- if (dbg) {
- std::cerr << "dimensionOfData : " << dimensionOfData << std::endl;
- }
-
- std::vector<unsigned> sizes;
- for (size_t i = 0; i != dimensionOfData; ++i) {
- int sizeInThisDimension;
- inFiltration >> sizeInThisDimension;
- sizeInThisDimension = abs(sizeInThisDimension);
- sizes.push_back(sizeInThisDimension);
- if (dbg) {
- std::cerr << "sizeInThisDimension : " << sizeInThisDimension << std::endl;
- }
- }
- this->set_up_containers(sizes);
-
- Bitmap_cubical_complex_base<T>::Top_dimensional_cells_iterator it(*this);
- it = this->top_dimensional_cells_begin();
-
- // TODO(Pawel Dlotko): Over here we also need to read id's of cell and put them to bitmapElement structure!
- while (!inFiltration.eof()) {
- double filtrationLevel;
- inFiltration >> filtrationLevel;
- if (dbg) {
- std::cerr << "Cell of an index : " << it.computeIndexInBitmap() << " and dimension: " <<
- this->get_dimension_of_a_cell(it.computeIndexInBitmap()) << " get the value : " <<
- filtrationLevel << std::endl;
- }
- *it = filtrationLevel;
- ++it;
- }
- inFiltration.close();
- this->impose_lower_star_filtration();
-}
-
-template <typename T>
-std::vector< size_t > Bitmap_cubical_complex_base<T>::get_boundary_of_a_cell(size_t cell_) {
- bool bdg = false;
- // First of all, we need to take the list of coordinates in which the cell has nonzero length.
- // We do it by using modified version to compute dimension of a cell:
- std::vector< unsigned > dimensionsInWhichCellHasNonzeroLength;
- unsigned dimension = 0;
- size_t cell1 = cell_;
- for (size_t i = this->multipliers.size(); i != 0; --i) {
- unsigned position = cell1 / multipliers[i - 1];
- if (position % 2 == 1) {
- dimensionsInWhichCellHasNonzeroLength.push_back(i - 1);
- dimension++;
- }
- cell1 = cell1 % multipliers[i - 1];
- }
-
- if (bdg) {
- std::cerr << "dimensionsInWhichCellHasNonzeroLength : \n";
- for (size_t i = 0; i != dimensionsInWhichCellHasNonzeroLength.size(); ++i) {
- std::cerr << dimensionsInWhichCellHasNonzeroLength[i] << std::endl;
- }
- getchar();
- }
-
- std::vector< size_t > boundaryElements;
- if (dimensionsInWhichCellHasNonzeroLength.size() == 0)return boundaryElements;
- for (size_t i = 0; i != dimensionsInWhichCellHasNonzeroLength.size(); ++i) {
- boundaryElements.push_back(cell_ - multipliers[ dimensionsInWhichCellHasNonzeroLength[i] ]);
- boundaryElements.push_back(cell_ + multipliers[ dimensionsInWhichCellHasNonzeroLength[i] ]);
-
- if (bdg) std::cerr << "multipliers[dimensionsInWhichCellHasNonzeroLength[i]] : " <<
- multipliers[dimensionsInWhichCellHasNonzeroLength[i]] << std::endl;
- if (bdg) std::cerr << "cell_ - multipliers[dimensionsInWhichCellHasNonzeroLength[i]] : " <<
- cell_ - multipliers[dimensionsInWhichCellHasNonzeroLength[i]] << std::endl;
- if (bdg) std::cerr << "cell_ + multipliers[dimensionsInWhichCellHasNonzeroLength[i]] : " <<
- cell_ + multipliers[dimensionsInWhichCellHasNonzeroLength[i]] << std::endl;
- }
- return boundaryElements;
-}
-
-template <typename T>
-std::vector< size_t > Bitmap_cubical_complex_base<T>::get_coboundary_of_a_cell(size_t cell_) {
- bool bdg = false;
- // First of all, we need to take the list of coordinates in which the cell has nonzero length.
- // We do it by using modified version to compute dimension of a cell:
- std::vector< unsigned > dimensionsInWhichCellHasZeroLength;
- unsigned dimension = 0;
- size_t cell1 = cell_;
- for (size_t i = this->multipliers.size(); i != 0; --i) {
- unsigned position = cell1 / multipliers[i - 1];
- if (position % 2 == 0) {
- dimensionsInWhichCellHasZeroLength.push_back(i - 1);
- dimension++;
- }
- cell1 = cell1 % multipliers[i - 1];
- }
-
- std::vector<unsigned> counter = this->compute_counter_for_given_cell(cell_);
- // reverse(counter.begin() , counter.end());
-
- if (bdg) {
- std::cerr << "dimensionsInWhichCellHasZeroLength : \n";
- for (size_t i = 0; i != dimensionsInWhichCellHasZeroLength.size(); ++i) {
- std::cerr << dimensionsInWhichCellHasZeroLength[i] << std::endl;
- }
- std::cerr << "\n counter : " << std::endl;
- for (size_t i = 0; i != counter.size(); ++i) {
- std::cerr << counter[i] << std::endl;
- }
- getchar();
- }
-
- std::vector< size_t > coboundaryElements;
- if (dimensionsInWhichCellHasZeroLength.size() == 0)return coboundaryElements;
- for (size_t i = 0; i != dimensionsInWhichCellHasZeroLength.size(); ++i) {
- if (bdg) {
- std::cerr << "Dimension : " << i << std::endl;
- if (counter[dimensionsInWhichCellHasZeroLength[i]] == 0) {
- std::cerr << "In dimension : " << i <<
- " we cannot substract, since we will jump out of a Bitmap_cubical_complex_base \n";
- }
- if (counter[dimensionsInWhichCellHasZeroLength[i]] == 2 * this->sizes[dimensionsInWhichCellHasZeroLength[i]]) {
- std::cerr << "In dimension : " << i <<
- " we cannot substract, since we will jump out of a Bitmap_cubical_complex_base \n";
- }
- }
-
-
- if ((cell_ > multipliers[dimensionsInWhichCellHasZeroLength[i]]) &&
- (counter[dimensionsInWhichCellHasZeroLength[i]] != 0)) {
- // if ( counter[dimensionsInWhichCellHasZeroLength[i]] != 0 )
- if (bdg)std::cerr << "Subtracting : " << cell_ - multipliers[dimensionsInWhichCellHasZeroLength[i]] << std::endl;
- coboundaryElements.push_back(cell_ - multipliers[dimensionsInWhichCellHasZeroLength[i]]);
- }
- if ((cell_ + multipliers[dimensionsInWhichCellHasZeroLength[i]] < this->data.size()) &&
- (counter[dimensionsInWhichCellHasZeroLength[i]] != 2 * this->sizes[dimensionsInWhichCellHasZeroLength[i]])) {
- // if ( counter[dimensionsInWhichCellHasZeroLength[i]] != 2*this->sizes[dimensionsInWhichCellHasZeroLength[i]] )
- coboundaryElements.push_back(cell_ + multipliers[dimensionsInWhichCellHasZeroLength[i]]);
- if (bdg)std::cerr << "Adding : " << cell_ + multipliers[dimensionsInWhichCellHasZeroLength[i]] << std::endl;
- }
- }
- return coboundaryElements;
-}
-
-template <typename T>
-unsigned Bitmap_cubical_complex_base<T>::get_dimension_of_a_cell(size_t cell_) {
- bool dbg = false;
- if (dbg)std::cerr << "\n\n\n Computing position o a cell of an index : " << cell_ << std::endl;
- unsigned dimension = 0;
- for (size_t i = this->multipliers.size(); i != 0; --i) {
- unsigned position = cell_ / multipliers[i - 1];
-
- if (dbg)std::cerr << "i-1 :" << i - 1 << std::endl;
- if (dbg)std::cerr << "cell_ : " << cell_ << std::endl;
- if (dbg)std::cerr << "position : " << position << std::endl;
- if (dbg)std::cerr << "multipliers[" << i - 1 << "] = " << multipliers[i - 1] << std::endl;
- if (dbg)getchar();
-
- if (position % 2 == 1) {
- if (dbg)std::cerr << "Nonzero length in this direction \n";
- dimension++;
- }
- cell_ = cell_ % multipliers[i - 1];
- }
- return dimension;
-}
-
-template <typename T>
-T& Bitmap_cubical_complex_base<T>::get_cell_data(size_t cell_) {
- return this->data[cell_];
-}
-
-template <typename T>
-void Bitmap_cubical_complex_base<T>::impose_lower_star_filtration() {
- bool dbg = false;
-
- // this vector will be used to check which elements have already been taken care of in imposing lower star filtration:
- std::vector<bool> isThisCellConsidered(this->data.size(), false);
-
- std::vector<size_t> indicesToConsider;
- // we assume here that we already have a filtration on the top dimensional cells
- // and we have to extend it to lower ones.
- typename Bitmap_cubical_complex_base<T>::Top_dimensional_cells_iterator it(*this);
- for (it = this->top_dimensional_cells_begin(); it != this->top_dimensional_cells_end(); ++it) {
- indicesToConsider.push_back(it.computeIndexInBitmap());
- }
-
- while (indicesToConsider.size()) {
- if (dbg) {
- std::cerr << "indicesToConsider in this iteration \n";
- for (size_t i = 0; i != indicesToConsider.size(); ++i) {
- std::cout << indicesToConsider[i] << " ";
- }
- getchar();
- }
- std::vector<size_t> newIndicesToConsider;
- for (size_t i = 0; i != indicesToConsider.size(); ++i) {
- std::vector<size_t> bd = this->get_boundary_of_a_cell(indicesToConsider[i]);
- for (size_t boundaryIt = 0; boundaryIt != bd.size(); ++boundaryIt) {
- if (this->data[ bd[boundaryIt] ] > this->data[ indicesToConsider[i] ]) {
- this->data[ bd[boundaryIt] ] = this->data[ indicesToConsider[i] ];
- }
- if (isThisCellConsidered[ bd[boundaryIt] ] == false) {
- newIndicesToConsider.push_back(bd[boundaryIt]);
- isThisCellConsidered[ bd[boundaryIt] ] = true;
- }
- }
- }
- indicesToConsider.swap(newIndicesToConsider);
- }
-}
-
-template <typename T>
-std::vector< size_t >
-Bitmap_cubical_complex_base<T>::generate_vector_of_shifts_for_bitmaps_with_periodic_boundary_conditions(std::vector< bool > directionsForPeriodicBCond_) {
- bool dbg = false;
- if (this->sizes.size() != directionsForPeriodicBCond_.size())
- throw ("directionsForPeriodicBCond_ vector size is different from the size of the bitmap. "
- "The program will now terminate \n");
-
- std::vector<int> sizes(this->sizes.size());
- for (size_t i = 0; i != this->sizes.size(); ++i)sizes[i] = 2 * this->sizes[i];
-
- counter c(sizes);
-
- std::vector< size_t > result;
-
- for (size_t i = 0; i != this->data.size(); ++i) {
- size_t position;
- if (!c.isFinal()) {
- position = i;
- // result.push_back( i );
- } else {
- std::vector< bool > finals = c.directionsOfFinals();
- bool jumpInPosition = false;
- for (size_t dir = 0; dir != finals.size(); ++dir) {
- if (finals[dir] == false)continue;
- if (directionsForPeriodicBCond_[dir]) {
- jumpInPosition = true;
- }
- }
- if (jumpInPosition == true) {
- // in this case this guy is final, so we need to find 'the opposite one'
- position = compute_position_in_bitmap(c.findOpposite(directionsForPeriodicBCond_));
- } else {
- position = i;
- }
- }
- result.push_back(position);
- if (dbg) {
- std::cerr << " position : " << position << std::endl;
- std::cerr << c << std::endl;
- getchar();
- }
-
- c.increment();
- }
-
- return result;
-}
-
-#endif // BITMAP_CUBICAL_COMPLEX_BASE_H_
+/* 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 <http://www.gnu.org/licenses/>.
+ */
+
+#pragma once
+
+#include <iostream>
+#include <string>
+#include <vector>
+#include <string>
+#include <fstream>
+#include <algorithm>
+#include <iterator>
+#include <limits>
+#include "counter.h"
+
+
+using namespace std;
+
+namespace Gudhi
+{
+
+namespace Cubical_complex
+{
+
+
+
+/**
+ * This is a class implementing a basic bitmap data structure to store cubical complexes.
+ * It implements only the most basic subroutines.
+ * The idea of the bitmap is the following. Our aim is to have a memory efficient
+ * data structure to store d-dimensional cubical complex
+ * C being a cubical decomposition
+ * of a rectangular region of a space. This is achieved by storing C as a
+ * vector of bits (this is where the name 'bitmap' came from).
+ * Each cell is represented by a single
+ * bit (in case of black and white bitmaps, or by a single element of a type T
+ * (here T is a filtration type of a bitmap, typically a double).
+ * All the informations needed for homology and
+ * persistent homology computations (like dimension of a cell, boundary and
+ * coboundary elements of a cell, are then obtained from the
+ * position of the element in C.
+ * The default filtration used in this implementation is the lower star filtration.
+ */
+template <typename T>
+class Bitmap_cubical_complex_base
+{
+public:
+ /**
+ * There are a few constructors of a Bitmap_cubical_complex_base class.
+ * First one, that takes vector<unsigned>, creates an empty bitmap of a dimension equal
+ * the number of elements in the
+ * input vector and size in the i-th dimension equal the number in the position i-of the input vector.
+ */
+ Bitmap_cubical_complex_base( std::vector<unsigned>& sizes );
+ /**
+ * The second constructor takes as a input a Perseus style file. For more details,
+ * please consult the documentations of
+ * Perseus software as well as examples attached to this
+ * implementation.
+ **/
+ Bitmap_cubical_complex_base( const char* perseus_style_file );
+ /**
+ * The last constructor of a Bitmap_cubical_complex_base class accepts vector of dimensions (as the first one)
+ * together with vector of filtration values of top dimensional cells.
+ **/
+ Bitmap_cubical_complex_base( std::vector<unsigned>& dimensions , const std::vector<T>& top_dimensional_cells );
+
+ /**
+ * The functions get_boundary_of_a_cell, get_coboundary_of_a_cell, get_dimension_of_a_cell
+ * and get_cell_data are the basic
+ * functions that compute boundary / coboundary / dimension and the filtration
+ * value form a position of a cell in the structure of a bitmap. The input parameter of all of those function is a
+ * non-negative integer, indicating a position of a cube in the data structure.
+ * In the case of functions that compute (co)boundary, the output is a vector if non-negative integers pointing to
+ * the positions of (co)boundary element of the input cell.
+ */
+ inline std::vector< size_t > get_boundary_of_a_cell( size_t cell )const;
+ /**
+ * The functions get_coboundary_of_a_cell, get_coboundary_of_a_cell,
+ * get_dimension_of_a_cell and get_cell_data are the basic
+ * functions that compute boundary / coboundary / dimension and the filtration
+ * value form a position of a cell in the structure of a bitmap.
+ * The input parameter of all of those function is a non-negative integer,
+ * indicating a position of a cube in the data structure.
+ * In the case of functions that compute (co)boundary, the output is a vector if
+ * non-negative integers pointing to the
+ * positions of (co)boundary element of the input cell.
+ **/
+ inline std::vector< size_t > get_coboundary_of_a_cell( size_t cell )const;
+ /**
+ * In the case of get_dimension_of_a_cell function, the output is a non-negative integer
+ * indicating the dimension of a cell.
+ **/
+ inline unsigned get_dimension_of_a_cell( size_t cell )const;
+ /**
+ * In the case of get_cell_data, the output parameter is a reference to the value of a cube in a given position.
+ **/
+ inline T& get_cell_data( size_t cell );
+
+
+ /**
+ * Typical input used to construct a baseBitmap class is a filtration given at the top dimensional cells.
+ * Then, there are a few ways one can pick the filtration of lower dimensional
+ * cells. The most typical one is by so called lower star filtration. This function is always called by any
+ * constructor which takes the top dimensional cells. If you use such a constructor,
+ * then there is no need to call this function. Call it only if you are putting the filtration
+ * of the cells by your own (for instance by using Top_dimensional_cells_iterator).
+ **/
+ void impose_lower_star_filtration();//assume that top dimensional cells are already set.
+
+ /**
+ * Returns dimension of a complex.
+ **/
+ inline unsigned dimension()const{ return sizes.size(); }
+
+ /**
+ * Returns number of all cubes in the data structure.
+ **/
+ inline unsigned size_of_bitmap()const
+ {
+ return this->data.size();
+ }
+
+ /**
+ * Writing to stream operator.
+ **/
+ template <typename K>
+ friend ostream& operator << ( ostream & os , const Bitmap_cubical_complex_base<K>& b );
+
+ //ITERATORS
+
+ /**
+ * Iterator through all cells in the complex (in order they appear in the structure -- i.e.
+ * in lexicographical order).
+ **/
+ typedef typename std::vector< T >::iterator all_cells_iterator;
+ all_cells_iterator all_cells_begin()const
+ {
+ return this->data.begin();
+ }
+ all_cells_iterator all_cells_end()const
+ {
+ return this->data.end();
+ }
+
+
+ typedef typename std::vector< T >::const_iterator all_cells_const_iterator;
+ all_cells_const_iterator all_cells_const_begin()const
+ {
+ return this->data.begin();
+ }
+ all_cells_const_iterator all_cells_const_end()const
+ {
+ return this->data.end();
+ }
+
+ /**
+ * Iterator through top dimensional cells of the complex. The cells appear in order they are stored
+ * in the structure (i.e. in lexicographical order)
+ **/
+ class Top_dimensional_cells_iterator : std::iterator< std::input_iterator_tag, double >
+ {
+ public:
+ Top_dimensional_cells_iterator( Bitmap_cubical_complex_base& b ):b(b)
+ {
+ for ( size_t i = 0 ; i != b.dimension() ; ++i )
+ {
+ this->counter.push_back(0);
+ }
+ }
+ Top_dimensional_cells_iterator operator++()
+ {
+ //first find first element of the counter that can be increased:
+ size_t dim = 0;
+ while ( ( dim != this->b.dimension() ) && ( this->counter[dim] == this->b.sizes[dim]-1 ) )++dim;
+
+ if ( dim != this->b.dimension() )
+ {
+ ++this->counter[dim];
+ for ( size_t i = 0 ; i != dim ; ++i )
+ {
+ this->counter[i] = 0;
+ }
+ }
+ else
+ {
+ ++this->counter[0];
+ }
+ return *this;
+ }
+ Top_dimensional_cells_iterator operator++(int)
+ {
+ Top_dimensional_cells_iterator result = *this;
+ ++(*this);
+ return result;
+ }
+ Top_dimensional_cells_iterator operator =( const Top_dimensional_cells_iterator& rhs )
+ {
+ this->counter = rhs.counter;
+ this->b = rhs.b;
+ return *this;
+ }
+ bool operator == ( const Top_dimensional_cells_iterator& rhs )const
+ {
+ if ( &this->b != &rhs.b )return false;
+ if ( this->counter.size() != rhs.counter.size() )return false;
+ for ( size_t i = 0 ; i != this->counter.size() ; ++i )
+ {
+ if ( this->counter[i] != rhs.counter[i] )return false;
+ }
+ return true;
+ }
+ bool operator != ( const Top_dimensional_cells_iterator& rhs )const
+ {
+ return !(*this == rhs);
+ }
+
+ T& operator*()
+ {
+ //given the counter, compute the index in the array and return this element.
+ unsigned index = 0;
+ for ( size_t i = 0 ; i != this->counter.size() ; ++i )
+ {
+ index += (2*this->counter[i]+1)*this->b.multipliers[i];
+ }
+ return this->b.data[index];
+ }
+
+ size_t compute_index_in_bitmap()const
+ {
+ size_t index = 0;
+ for ( size_t i = 0 ; i != this->counter.size() ; ++i )
+ {
+ index += (2*this->counter[i]+1)*this->b.multipliers[i];
+ }
+ return index;
+ }
+
+ void print_counter()const
+ {
+ for ( size_t i = 0 ; i != this->counter.size() ; ++i )
+ {
+ cout << this->counter[i] << " ";
+ }
+ }
+ friend class Bitmap_cubical_complex_base;
+ protected:
+ std::vector< unsigned > counter;
+ Bitmap_cubical_complex_base& b;
+ };
+ Top_dimensional_cells_iterator top_dimensional_cells_begin()
+ {
+ Top_dimensional_cells_iterator a(*this);
+ return a;
+ }
+ Top_dimensional_cells_iterator top_dimensional_cells_end()
+ {
+ Top_dimensional_cells_iterator a(*this);
+ for ( size_t i = 0 ; i != this->dimension() ; ++i )
+ {
+ a.counter[i] = this->sizes[i]-1;
+ }
+ a.counter[0]++;
+ return a;
+ }
+
+
+//****************************************************************************************************************//
+//****************************************************************************************************************//
+//****************************************************************************************************************//
+//****************************************************************************************************************//
+
+
+//****************************************************************************************************************//
+//****************************************************************************************************************//
+//****************************************************************************************************************//
+//****************************************************************************************************************//
+
+protected:
+ std::vector<unsigned> sizes;
+ std::vector<unsigned> multipliers;
+ std::vector<T> data;
+ size_t total_number_of_cells;
+ void set_up_containers( std::vector<unsigned>& sizes )
+ {
+ unsigned multiplier = 1;
+ for ( size_t i = 0 ; i != sizes.size() ; ++i )
+ {
+ this->sizes.push_back(sizes[i]);
+ this->multipliers.push_back(multiplier);
+ //multiplier *= 2*(sizes[i]+1)+1;
+ multiplier *= 2*sizes[i]+1;
+ }
+ //std::reverse( this->sizes.begin() , this->sizes.end() );
+ std::vector<T> data(multiplier);
+ std::fill( data.begin() , data.end() , std::numeric_limits<int>::max() );
+ this->total_number_of_cells = multiplier;
+ this->data = data;
+ }
+
+ size_t compute_position_in_bitmap( std::vector< unsigned >& counter )
+ {
+ size_t position = 0;
+ for ( size_t i = 0 ; i != this->multipliers.size() ; ++i )
+ {
+ position += this->multipliers[i]*counter[i];
+ }
+ return position;
+ }
+
+ std::vector<unsigned> compute_counter_for_given_cell( size_t cell )const
+ {
+ std::vector<unsigned> counter;
+ for ( size_t dim = this->sizes.size() ; dim != 0 ; --dim )
+ {
+ counter.push_back(cell/this->multipliers[dim-1]);
+ cell = cell%this->multipliers[dim-1];
+ }
+ std::reverse( counter.begin() , counter.end() );
+ return counter;
+ }
+
+ std::vector< size_t >
+ generate_vector_of_shifts_for_bitmaps_with_periodic_boundary_conditions
+ ( std::vector< bool >& directions_for_periodic_b_cond );
+};
+
+
+
+
+template <typename K>
+ostream& operator << ( ostream & out , const Bitmap_cubical_complex_base<K>& b )
+{
+ for ( typename Bitmap_cubical_complex_base<K>::all_cells_const_iterator
+ it = b.all_cells_const_begin() ; it != b.all_cells_const_end() ; ++it )
+ {
+ out << *it << " ";
+ }
+ return out;
+}
+
+
+template <typename T>
+Bitmap_cubical_complex_base<T>::Bitmap_cubical_complex_base
+( std::vector<unsigned>& sizes )
+{
+ this->set_up_containers( sizes );
+}
+
+template <typename T>
+Bitmap_cubical_complex_base<T>::Bitmap_cubical_complex_base
+( std::vector<unsigned>& sizes_in_following_directions , const std::vector<T>& top_dimensional_cells )
+{
+ this->set_up_containers( sizes_in_following_directions );
+
+ size_t number_of_top_dimensional_elements = 1;
+ for ( size_t i = 0 ; i != sizes_in_following_directions.size() ; ++i )
+ {
+ number_of_top_dimensional_elements *= sizes_in_following_directions[i];
+ }
+ if ( number_of_top_dimensional_elements != top_dimensional_cells.size() )
+ {
+ cerr <<
+ "Error in constructor\
+ Bitmap_cubical_complex_base\
+ ( std::vector<size_t> sizes_in_following_directions , std::vector<float> top_dimensional_cells ).\
+ Number of top dimensional elements that follow from sizes_in_following_directions vector is different\
+ than the size of top_dimensional_cells vector." << endl;
+ throw("Error in constructor Bitmap_cubical_complex_base( std::vector<size_t> sizes_in_following_directions,\
+ std::vector<float> top_dimensional_cells )\
+ . Number of top dimensional elements that follow from sizes_in_following_directions vector is different than the\
+ size of top_dimensional_cells vector.");
+ }
+
+ Bitmap_cubical_complex_base<T>::Top_dimensional_cells_iterator it(*this);
+ size_t index = 0;
+ for ( it = this->top_dimensional_cells_begin() ; it != this->top_dimensional_cells_end() ; ++it )
+ {
+ (*it) = top_dimensional_cells[index];
+ ++index;
+ }
+ this->impose_lower_star_filtration();
+}
+
+
+template <typename T>
+Bitmap_cubical_complex_base<T>::Bitmap_cubical_complex_base( const char* perseus_style_file )
+{
+ bool dbg = false;
+ ifstream inFiltration, inIds;
+ inFiltration.open( perseus_style_file );
+ unsigned dimensionOfData;
+ inFiltration >> dimensionOfData;
+
+ if (dbg){cerr << "dimensionOfData : " << dimensionOfData << endl;}
+
+ std::vector<unsigned> sizes;
+ for ( size_t i = 0 ; i != dimensionOfData ; ++i )
+ {
+ unsigned size_in_this_dimension;
+ inFiltration >> size_in_this_dimension;
+ size_in_this_dimension = abs(size_in_this_dimension);
+ sizes.push_back( size_in_this_dimension );
+ if (dbg){cerr << "size_in_this_dimension : " << size_in_this_dimension << endl;}
+ }
+ this->set_up_containers( sizes );
+
+ Bitmap_cubical_complex_base<T>::Top_dimensional_cells_iterator it(*this);
+ it = this->top_dimensional_cells_begin();
+
+ //TODO -- over here we also need to read id's of cell and put them to bitmapElement structure!
+ while ( !inFiltration.eof() )
+ {
+ double filtrationLevel;
+ inFiltration >> filtrationLevel;
+ if ( dbg )
+ {
+ cerr << "Cell of an index : "
+ << it.compute_index_in_bitmap()
+ << " and dimension: "
+ << this->get_dimension_of_a_cell(it.compute_index_in_bitmap())
+ << " get the value : " << filtrationLevel << endl;
+ }
+ *it = filtrationLevel;
+ ++it;
+ }
+ inFiltration.close();
+ this->impose_lower_star_filtration();
+}
+
+
+template <typename T>
+std::vector< size_t > Bitmap_cubical_complex_base<T>::get_boundary_of_a_cell( size_t cell )const
+{
+ bool bdg = false;
+ //first of all, we need to take the list of coordinates in which the cell has nonzero length.
+ //We do it by using modified version to compute dimension of a cell:
+ std::vector< unsigned > dimensions_in_which_cell_has_nonzero_length;
+ unsigned dimension = 0;
+ size_t cell1 = cell;
+ for ( size_t i = this->multipliers.size() ; i != 0 ; --i )
+ {
+ unsigned position = cell1/multipliers[i-1];
+ if ( position%2 == 1 )
+ {
+ dimensions_in_which_cell_has_nonzero_length.push_back(i-1);
+ dimension++;
+ }
+ cell1 = cell1%multipliers[i-1];
+ }
+
+ if (bdg)
+ {
+ cerr << "dimensions_in_which_cell_has_nonzero_length : \n";
+ for ( size_t i = 0 ; i != dimensions_in_which_cell_has_nonzero_length.size() ; ++i )
+ {
+ cerr << dimensions_in_which_cell_has_nonzero_length[i] << endl;
+ }
+ getchar();
+ }
+
+ std::vector< size_t > boundary_elements;
+ if ( dimensions_in_which_cell_has_nonzero_length.size() == 0 )return boundary_elements;
+ for ( size_t i = 0 ; i != dimensions_in_which_cell_has_nonzero_length.size() ; ++i )
+ {
+ boundary_elements.push_back( cell - multipliers[ dimensions_in_which_cell_has_nonzero_length[i] ] );
+ boundary_elements.push_back( cell + multipliers[ dimensions_in_which_cell_has_nonzero_length[i] ] );
+
+ if (bdg) cerr << "multipliers[dimensions_in_which_cell_has_nonzero_length[i]] : "
+ << multipliers[dimensions_in_which_cell_has_nonzero_length[i]] << endl;
+ if (bdg) cerr << "cell - multipliers[dimensions_in_which_cell_has_nonzero_length[i]] : "
+ << cell - multipliers[dimensions_in_which_cell_has_nonzero_length[i]] << endl;
+ if (bdg) cerr << "cell + multipliers[dimensions_in_which_cell_has_nonzero_length[i]] : "
+ << cell + multipliers[dimensions_in_which_cell_has_nonzero_length[i]] << endl;
+ }
+ return boundary_elements;
+}
+
+
+
+
+template <typename T>
+std::vector< size_t > Bitmap_cubical_complex_base<T>::get_coboundary_of_a_cell( size_t cell )const
+{
+ bool bdg = false;
+ //first of all, we need to take the list of coordinates in which the cell has nonzero length.
+ //We do it by using modified version to compute dimension of a cell:
+ std::vector< unsigned > dimensions_in_which_cell_has_zero_length;
+ unsigned dimension = 0;
+ size_t cell1 = cell;
+ for ( size_t i = this->multipliers.size() ; i != 0 ; --i )
+ {
+ unsigned position = cell1/multipliers[i-1];
+ if ( position%2 == 0 )
+ {
+ dimensions_in_which_cell_has_zero_length.push_back(i-1);
+ dimension++;
+ }
+ cell1 = cell1%multipliers[i-1];
+ }
+
+ std::vector<unsigned> counter = this->compute_counter_for_given_cell( cell );
+ //reverse(counter.begin() , counter.end());
+
+ if (bdg)
+ {
+ cerr << "dimensions_in_which_cell_has_zero_length : \n";
+ for ( size_t i = 0 ; i != dimensions_in_which_cell_has_zero_length.size() ; ++i )
+ {
+ cerr << dimensions_in_which_cell_has_zero_length[i] << endl;
+ }
+ cerr << "\n counter : " << endl;
+ for ( size_t i = 0 ; i != counter.size() ; ++i )
+ {
+ cerr << counter[i] << endl;
+ }
+ getchar();
+ }
+
+ std::vector< size_t > coboundary_elements;
+ if ( dimensions_in_which_cell_has_zero_length.size() == 0 )return coboundary_elements;
+ for ( size_t i = 0 ; i != dimensions_in_which_cell_has_zero_length.size() ; ++i )
+ {
+ if ( bdg )
+ {
+ cerr << "Dimension : " << i << endl;
+ if (counter[dimensions_in_which_cell_has_zero_length[i]] == 0)
+ {
+ cerr << "In dimension : " << i
+ << " we cannot substract, since we will jump out of a Bitmap_cubical_complex_base \n";
+ }
+ if ( counter[dimensions_in_which_cell_has_zero_length[i]]
+ ==
+ 2*this->sizes[dimensions_in_which_cell_has_zero_length[i]] )
+ {
+ cerr << "In dimension : " << i
+ << " we cannot substract, since we will jump out of a Bitmap_cubical_complex_base \n";
+ }
+ }
+
+
+ if ( (cell > multipliers[dimensions_in_which_cell_has_zero_length[i]])
+ && (counter[dimensions_in_which_cell_has_zero_length[i]] != 0) )
+ //if ( counter[dimensions_in_which_cell_has_zero_length[i]] != 0 )
+ {
+ if ( bdg )
+ {
+ cerr << "Subtracting : " << cell - multipliers[dimensions_in_which_cell_has_zero_length[i]] << endl;
+ }
+ coboundary_elements.push_back( cell - multipliers[dimensions_in_which_cell_has_zero_length[i]] );
+ }
+ if (
+ (cell + multipliers[dimensions_in_which_cell_has_zero_length[i]] < this->data.size()) &&
+ (counter[dimensions_in_which_cell_has_zero_length[i]]
+ !=
+ 2*this->sizes[dimensions_in_which_cell_has_zero_length[i]])
+ )
+ //if ( counter[dimensions_in_which_cell_has_zero_length[i]] !=
+ //2*this->sizes[dimensions_in_which_cell_has_zero_length[i]] )
+ {
+ coboundary_elements.push_back( cell + multipliers[dimensions_in_which_cell_has_zero_length[i]] );
+ if ( bdg )cerr << "Adding : " << cell + multipliers[dimensions_in_which_cell_has_zero_length[i]] << endl;
+ }
+ }
+ return coboundary_elements;
+}
+
+
+
+
+
+
+template <typename T>
+unsigned Bitmap_cubical_complex_base<T>::get_dimension_of_a_cell( size_t cell )const
+{
+ bool dbg = false;
+ if (dbg)cerr << "\n\n\n Computing position o a cell of an index : " << cell << endl;
+ unsigned dimension = 0;
+ for ( size_t i = this->multipliers.size() ; i != 0 ; --i )
+ {
+ unsigned position = cell/multipliers[i-1];
+
+ if (dbg)cerr << "i-1 :" << i-1 << endl;
+ if (dbg)cerr << "cell : " << cell << endl;
+ if (dbg)cerr << "position : " << position << endl;
+ if (dbg)cerr << "multipliers["<<i-1<<"] = " << multipliers[i-1] << endl;
+ if (dbg)getchar();
+
+ if ( position%2 == 1 )
+ {
+ if (dbg)cerr << "Nonzero length in this direction \n";
+ dimension++;
+ }
+ cell = cell%multipliers[i-1];
+ }
+ return dimension;
+}
+
+template <typename T>
+T& Bitmap_cubical_complex_base<T>::get_cell_data( size_t cell )
+{
+ return this->data[cell];
+}
+
+
+template <typename T>
+void Bitmap_cubical_complex_base<T>::impose_lower_star_filtration()
+{
+ bool dbg = false;
+
+ //this vector will be used to check which elements have already been taken care of
+ //in imposing lower star filtration:
+ std::vector<bool> is_this_cell_considered( this->data.size() , false );
+
+ std::vector<size_t> indices_to_consider;
+ //we assume here that we already have a filtration on the top dimensional cells and
+ //we have to extend it to lower ones.
+ typename Bitmap_cubical_complex_base<T>::Top_dimensional_cells_iterator it(*this);
+ for ( it = this->top_dimensional_cells_begin() ; it != this->top_dimensional_cells_end() ; ++it )
+ {
+ indices_to_consider.push_back( it.compute_index_in_bitmap() );
+ }
+
+ while ( indices_to_consider.size() )
+ {
+ if ( dbg )
+ {
+ cerr << "indices_to_consider in this iteration \n";
+ for ( size_t i = 0 ; i != indices_to_consider.size() ; ++i )
+ {
+ cout << indices_to_consider[i] << " ";
+ }
+ getchar();
+ }
+ std::vector<size_t> new_indices_to_consider;
+ for ( size_t i = 0 ; i != indices_to_consider.size() ; ++i )
+ {
+ std::vector<size_t> bd = this->get_boundary_of_a_cell( indices_to_consider[i] );
+ for ( size_t boundaryIt = 0 ; boundaryIt != bd.size() ; ++boundaryIt )
+ {
+ if ( this->data[ bd[boundaryIt] ] > this->data[ indices_to_consider[i] ] )
+ {
+ this->data[ bd[boundaryIt] ] = this->data[ indices_to_consider[i] ];
+ }
+ if ( is_this_cell_considered[ bd[boundaryIt] ] == false )
+ {
+ new_indices_to_consider.push_back( bd[boundaryIt] );
+ is_this_cell_considered[ bd[boundaryIt] ] = true;
+ }
+ }
+ }
+ indices_to_consider.swap(new_indices_to_consider);
+ }
+}
+
+
+template <typename T>
+bool compareFirstElementsOfTuples( const std::pair< std::pair< T , size_t > , char >& first ,
+ const std::pair< std::pair< T , size_t > , char >& second )
+{
+ if ( first.first.first < second.first.first )
+ {
+ return true;
+ }
+ else
+ {
+ if ( first.first.first > second.first.first )
+ {
+ return false;
+ }
+ //in this case first.first.first == second.first.first, so we need to compare dimensions
+ return first.second < second.second;
+ }
+}
+
+
+
+template <typename T>
+std::vector< size_t > Bitmap_cubical_complex_base<T>::
+generate_vector_of_shifts_for_bitmaps_with_periodic_boundary_conditions
+( std::vector< bool >& directions_for_periodic_b_cond )
+{
+ bool dbg = false;
+ if ( this->sizes.size() != directions_for_periodic_b_cond.size() )
+ throw "directions_for_periodic_b_cond vector size is different from the size of the bitmap. Program terminate \n";
+
+ std::vector<unsigned> sizes( this->sizes.size() );
+ for ( size_t i = 0 ; i != this->sizes.size() ; ++i )sizes[i] = 2*this->sizes[i];
+
+ counter c( sizes );
+
+ std::vector< size_t > result;
+
+ for ( size_t i = 0 ; i != this->data.size() ; ++i )
+ {
+ size_t position;
+ if ( !c.isFinal() )
+ {
+ position = i;
+ //result.push_back( i );
+ }
+ else
+ {
+ std::vector< bool > finals = c.directions_of_finals();
+ bool jump_in_position = false;
+ for ( size_t dir = 0 ; dir != finals.size() ; ++dir )
+ {
+ if ( finals[dir] == false )continue;
+ if ( directions_for_periodic_b_cond[dir] )
+ {
+ jump_in_position = true;
+ }
+ }
+ if ( jump_in_position == true )
+ {
+ //in this case this guy is final, so we need to find 'the opposite one'
+ position = compute_position_in_bitmap( c.find_opposite( directions_for_periodic_b_cond ) );
+ }
+ else
+ {
+ position = i;
+ }
+ }
+ result.push_back( position );
+ if ( dbg )
+ {
+ cerr << " position : " << position << endl;
+ cerr << c << endl;
+ getchar();
+ }
+
+ c.increment();
+ }
+
+ return result;
+}
+
+}
+
+} \ No newline at end of file