/* 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) 2017 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_H_
#define PERSISTENCE_LANDSCAPE_H_
//standard include
#include
#include
#include
#include
#include
#include
#include
//gudhi include
#include
#include
namespace Gudhi
{
namespace Persistence_representations
{
// pre declaration
class Persistence_landscape;
template < typename operation >
Persistence_landscape operation_on_pair_of_landscapes( const Persistence_landscape& land1 , const Persistence_landscape& land2 );
/**
* \class Persistence_landscape Persistence_landscape.h gudhi/Persistence_landscape.h
* \brief A class implementing persistence landscapes data structures.
*
* \ingroup Persistence_representations
*
* \details
* For theoretical description, please consult Statistical topological data analysis using persistence
* landscapes\cite bubenik_landscapes_2015 , and for details of algorithms,
* A persistence landscapes toolbox for topological statistics\cite bubenik_dlotko_landscapes_2016.
*
* Persistence landscapes allow vectorization, 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 rounding 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 multiplication 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 multiplication 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 );
/**
*\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 between 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(); }
/**
* Compute 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.
* At the moment this function is not tested, since it is quite likely to be changed in the future. Given this, when using it, keep in mind that it
* will be most likely changed in the next versions.
**/
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 landscape. 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 number of intermediate complexes. We have to clean that up, but we cannot erase the initial landscapes 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 using 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 function is 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 function is 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 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)
{
std::vector< std::pair< double , double > > barcode;
if ( dimension < std::numeric_limits::max() )
{
barcode = read_persistence_intervals_in_one_dimension_from_file( filename , dimension );
}
else
{
barcode = read_persistence_intervals_in_one_dimension_from_file( filename );
}
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) ) )
{
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 up 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 integral.
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 up 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 o result
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 before head
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 point : " << 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";
}
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";
}
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 Persistence_representations
} // namespace gudhi
#endif // PERSISTENCE_LANDSCAPE_H_