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import gudhi
import numpy as np
""" 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): Vincent Rouvreau
Copyright (C) 2017 Inria
Modification(s):
- YYYY/MM Author: Description of the modification
"""
__author__ = "Vincent Rouvreau"
__copyright__ = "Copyright (C) 2017 Inria"
__license__ = "MIT"
def test_non_existing_csv_file():
# Try to open a non existing file
matrix = gudhi.read_lower_triangular_matrix_from_csv_file(csv_file='pouetpouettralala.toubiloubabdou')
assert matrix == []
def test_full_square_distance_matrix_csv_file():
# Create test file
test_file = open('full_square_distance_matrix.csv', 'w')
test_file.write('0;1;2;3;\n1;0;4;5;\n2;4;0;6;\n3;5;6;0;')
test_file.close()
matrix = gudhi.read_lower_triangular_matrix_from_csv_file(csv_file="full_square_distance_matrix.csv")
assert matrix == [[], [1.0], [2.0, 4.0], [3.0, 5.0, 6.0]]
def test_lower_triangular_distance_matrix_csv_file():
# Create test file
test_file = open('lower_triangular_distance_matrix.csv', 'w')
test_file.write('\n1,\n2,3,\n4,5,6,\n7,8,9,10,')
test_file.close()
matrix = gudhi.read_lower_triangular_matrix_from_csv_file(csv_file="lower_triangular_distance_matrix.csv", separator=",")
assert matrix == [[], [1.0], [2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0, 10.0]]
def test_non_existing_persistence_file():
# Try to open a non existing file
persistence = gudhi.read_persistence_intervals_grouped_by_dimension(persistence_file='pouetpouettralala.toubiloubabdou')
assert persistence == []
persistence = gudhi.read_persistence_intervals_in_dimension(persistence_file='pouetpouettralala.toubiloubabdou', only_this_dim=1)
np.testing.assert_array_equal(persistence, [])
def test_read_persistence_intervals_without_dimension():
# Create test file
test_file = open('persistence_intervals_without_dimension.pers', 'w')
test_file.write('# Simple persistence diagram without dimension\n2.7 3.7\n9.6 14.\n34.2 34.974\n3. inf')
test_file.close()
persistence = gudhi.read_persistence_intervals_in_dimension(persistence_file='persistence_intervals_without_dimension.pers')
np.testing.assert_array_equal(persistence, [(2.7, 3.7), (9.6, 14.), (34.2, 34.974), (3., float('Inf'))])
persistence = gudhi.read_persistence_intervals_in_dimension(persistence_file='persistence_intervals_without_dimension.pers', only_this_dim=0)
np.testing.assert_array_equal(persistence, [])
persistence = gudhi.read_persistence_intervals_in_dimension(persistence_file='persistence_intervals_without_dimension.pers', only_this_dim=1)
np.testing.assert_array_equal(persistence, [])
persistence = gudhi.read_persistence_intervals_grouped_by_dimension(persistence_file='persistence_intervals_without_dimension.pers')
assert persistence == {-1: [(2.7, 3.7), (9.6, 14.0), (34.2, 34.974), (3.0, float('Inf'))]}
def test_read_persistence_intervals_with_dimension():
# Create test file
test_file = open('persistence_intervals_with_dimension.pers', 'w')
test_file.write('# Simple persistence diagram with dimension\n0 2.7 3.7\n1 9.6 14.\n3 34.2 34.974\n1 3. inf')
test_file.close()
persistence = gudhi.read_persistence_intervals_in_dimension(persistence_file='persistence_intervals_with_dimension.pers')
np.testing.assert_array_equal(persistence, [(2.7, 3.7), (9.6, 14.), (34.2, 34.974), (3., float('Inf'))])
persistence = gudhi.read_persistence_intervals_in_dimension(persistence_file='persistence_intervals_with_dimension.pers', only_this_dim=0)
np.testing.assert_array_equal(persistence, [(2.7, 3.7)])
persistence = gudhi.read_persistence_intervals_in_dimension(persistence_file='persistence_intervals_with_dimension.pers', only_this_dim=1)
np.testing.assert_array_equal(persistence, [(9.6, 14.), (3., float('Inf'))])
persistence = gudhi.read_persistence_intervals_in_dimension(persistence_file='persistence_intervals_with_dimension.pers', only_this_dim=2)
np.testing.assert_array_equal(persistence, [])
persistence = gudhi.read_persistence_intervals_in_dimension(persistence_file='persistence_intervals_with_dimension.pers', only_this_dim=3)
np.testing.assert_array_equal(persistence, [(34.2, 34.974)])
persistence = gudhi.read_persistence_intervals_grouped_by_dimension(persistence_file='persistence_intervals_with_dimension.pers')
assert persistence == {0: [(2.7, 3.7)], 1: [(9.6, 14.0), (3.0, float('Inf'))], 3: [(34.2, 34.974)]}
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