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# This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
# See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
# Author(s): Raphaël Tinarrage and Yuichi Ike
#
# Copyright (C) 2020 Inria, Copyright (C) 2020 FUjitsu Laboratories Ltd.
#
# Modification(s):
# - YYYY/MM Author: Description of the modification
from gudhi import SimplexTree
class WeightedRipsComplex:
"""
class to generate a weighted Rips complex
from a distance matrix and filtration value
"""
def __init__(self,
distance_matrix=None,
filtration_values=None,
max_filtration=float('inf'), sparse=None):
self.distance_matrix = distance_matrix
self.filtration_values = filtration_values
self.max_filtration = max_filtration
def create_simplex_tree(self, max_dimension):
dist = self.distance_matrix
F = self.filtration_values
num_pts = len(dist)
st = SimplexTree()
for i in range(num_pts):
if F[i] < self.max_filtration:
st.insert([i], F[i])
for i in range(num_pts):
for j in range(num_pts):
value = (dist[i][j] + F[i] + F[j]) / 2
if value < self.max_filtration:
st.insert([i,j], filtration=value)
return st
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