\brief Computes the extended persistence diagram of the complex. * */

* @brief returns true iff the simplex s belongs to the simplicial * complex. */

\brief Returns a range of permutahedral representations of faces of the simplex. * @param[in] value_dim The dimension of the faces. Must be between

* Returns the first and smallest vertex of the simplex. * * Be careful : assumes the simplex is non-empty. */

Fit the BettiCurve class on a list of persistence diagrams: if any of the values in **sample_range** is numpy.nan, replace it with the corres

* The x-range of the persistence heat map. **/

:param pdiagset: a list of ``numpy.array`` of shape `(n x 2)` (`n` can variate), encoding a set of persistence diagrams with only finite

* Constructs the link of 'simplex' with points coordinates. */

* @brief Multiplies the first element with the second one and adds the third one, that is * `(e * m + a) % characteristic`, such that the result is

\brief Returns a fixed number not in the interval [0, `num_simplices()`). */

This function computes and returns the persistence of the complex. :param homology_coeff_field: The homology coefficient field. Must be a

This function returns the persistent Betti numbers of the simplicial complex. :param from_value: The persistence birth limit to be ad

Automatic tuning of resolution. \brief Computes the optimal length of intervals * (i.e. the smallest interval length avoiding discretizatio

\brief Set a dimension for the simplicial complex. * \details * If `exact` is false, `dimension` is only an upper bound on the dimension of th

Sets the seed for internal GUDHI functionnalities that are using randomness. :param seed: The new seed value. .. note:: Th

* @brief Sets the seed for the default random engine. * * @param seed The new seed value. */

\brief Returns a range over the simplices of the dim-skeleton of the simplicial complex. * * The \f$d\f$-skeleton of a simplicial complex \f$\ma

* @brief Stores in the second element the subtraction in the field of the first element by the second element, * that is `(e1 - e2) % 2`, such that

* Function returning a Top_dimensional_cells_iterator beyond the last top dimensional cell of the bitmap. **/

Handle essential parts with different cardinalities. Warn the user about cost being infinite and (if `matching=True`) about the returned matc

* @brief Adds the first element to the second one and multiplies the third one with it. * Returns the result in the field. * * @warning Not o

\brief Change the offset vector to a given value. * @param[in] offset New value of the offset vector. */

\brief Returns a range of permutahedral representations of cofaces of the simplex. * @param[in] value_dim The dimension of the cofaces. Must be bet

Creates a new, empty complex and inserts vertices and edges. The vertices are numbered from 0 to n-1, and the filtration values are encoded in

Args: max_alpha_square (float): The maximum alpha square threshold the simplices shall not exceed. Default is set

* @brief Computes and returns the Euler characteristic of the non-filtered underlying complex represented * by the simplex tree. */

constructors

* Compute the local vertex in L corresponding to the vertex global in K. * runs in O(log n) if n = num_vertices() */

\brief Returns whether the complex is empty. */

* Returns the last and greatest vertex of the simplex. * * Be careful : assumes the simplex is non-empty. */

\brief Returns the multiplicative identity \f$1_{\Bbbk}\f$ of the field.*/

* @brief Multiplies the first element with the second one and adds the third one. Returns the result in the field. * * @warning Not overflow saf

* @brief returns the number of connected components in the graph of the 1-skeleton. */

* This function computes maximal lambda for which lambda-level landscape is nonzero. **/

\brief This function resets the filtration value of all the simplices of dimension at least min_dim. Resets all * the Simplex_tree when `min_dim =

* @brief Returns a Complex_simplex_around_vertex_range over all the simplices around a vertex of the complex */

:param X: (n x 2) array encoding the points of a persistent diagram. :param internal_p: Ground metric (i.e. norm L^p). :returns: (n) arra

Fetch the wanted dataset from the given url and save it in file_path. Parameters ---------- url : string The url to fetch th

:param a: (n x 2) numpy.array (point of a diagram) :returns: five lists of indices (between 0 and len(a)) accounting for the five types of po

Return the next line that is not a comment. :param file_desc: An open file in read mode. :type file_desc: file :param comment: The charac