1 files changed, 65 insertions, 0 deletions
diff --git a/src/cython/cython/vectors.pyx b/src/cython/cython/vectors.pyx
new file mode 100644
index 00000000..42390ae6
--- /dev/null
+++ b/src/cython/cython/vectors.pyx
@@ -0,0 +1,65 @@
+from cython cimport numeric
+from libcpp.vector cimport vector
+from libcpp.utility cimport pair
+import os
+
+"""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):       Mathieu Carriere
+
+   Copyright (C) 2018 INRIA
+
+   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/>.
+"""
+
+__author__ = "Mathieu Carriere"
+__copyright__ = "Copyright (C) 2018 INRIA"
+__license__ = "GPL v3"
+
+cdef extern from "Vectors_interface.h" namespace "Gudhi::persistence_diagram":
+    vector[vector[double]] compute_ls    (vector[pair[double, double]], int, double, double, int)
+    vector[vector[double]] compute_pim   (vector[pair[double, double]], double, double, int, double, double, int, string, double, double, double)
+
+def landscape(diagram, nb_ls = 10, min_x = 0.0, max_x = 1.0, res_x = 100):
+    """
+
+    :param diagram: The diagram
+    :type diagram: vector[pair[double, double]]
+    :param nb_ls: Number of landscapes
+    :param min_x: Minimum abscissa
+    :param max_x: Maximum abscissa
+    :param res_x: Number of samples 
+
+    :returns: the landscape
+    """
+    return compute_ls(diagram, nb_ls, min_x, max_x, res_x)
+
+def persistence_image(diagram, min_x = 0.0, max_x = 1.0, res_x = 10, min_y = 0.0, max_y = 1.0, res_y = 10, weight = "linear", sigma = 1.0, C = 1.0, p = 1.0):
+    """
+
+    :param diagram: The diagram
+    :type diagram: vector[vector[pair[double, double]]]
+    :param min_x: Minimum abscissa
+    :param max_x: Maximum abscissa
+    :param res_x: Number of abscissa pixels 
+    :param min_x: Minimum ordinate
+    :param max_x: Maximum ordinate
+    :param res_x: Number of ordinate pixels 
+    :param sigma: bandwidth of Gaussian
+
+    :returns: the persistence image
+    """
+    return compute_pim(diagram, min_x, max_x, res_x, min_y, max_y, res_y, weight, sigma, C, p)