def test_is_diagonal_matrix_false(self):
matrix = zeros([5, 5], dtype='4float64')
for i in range(5):
matrix[i][i] = (1.0, 0.0, 1.0, 1.0)
matrix[0][3] = (1.0, 0.0, 1.0, 1.0)
matrix[3][0] = (1.0, 0.0, 1.0, 1.0)
self.assertFalse(is_diagonal_matrix(matrix))
def test_is_diagonal_matrix_false(self):
matrix = zeros([5, 5], dtype='4float64')
for i in range(5):
matrix[i][i] = (1.0, 0.0, 1.0, 1.0)
matrix[0][3] = (1.0, 0.0, 1.0, 1.0)
matrix[3][0] = (1.0, 0.0, 1.0, 1.0)
self.assertFalse(is_diagonal_matrix(matrix))
def subpopulation_model_test(dist_mat, category, output_dir):
""" Tests the subpopulation model in the profiles distance matrix
Inputs:
dist_mat: profiles distance matrix
category: category used for generate the distance matrix
output_dir: output directory
"""
# Write the test result
output_fp = join(output_dir, 'subpopulation_model_test.txt')
outf = open(output_fp, 'w')
outf.write("Subpopulation model results:\n")
outf.write("\tCategory used: %s\n" % category)
outf.write("\tSubpopulation model test passed: ")
# The subpopulation model is followed if the similarity matrix is
# a diagonal matrix
if is_diagonal_matrix(dist_mat):
outf.write("Yes\n")
else:
outf.write("No\n")
outf.close()
def subpopulation_model_test(dist_mat, category, output_dir):
""" Tests the subpopulation model in the profiles distance matrix
Inputs:
dist_mat: profiles distance matrix
category: category used for generate the distance matrix
output_dir: output directory
"""
# Write the test result
output_fp = join(output_dir, 'subpopulation_model_test.txt')
outf = open(output_fp, 'w')
outf.write("Subpopulation model results:\n")
outf.write("\tCategory used: %s\n" % category)
outf.write("\tSubpopulation model test passed: ")
# The subpopulation model is followed if the similarity matrix is
# a diagonal matrix
if is_diagonal_matrix(dist_mat):
outf.write("Yes\n")
else:
outf.write("No\n")
outf.close()
def test_is_diagonal_matrix_true(self):
matrix = zeros([5, 5], dtype='4float64')
for i in range(5):
matrix[i][i] = (1.0, 0.0, 0.0, 0.0)
self.assertTrue(is_diagonal_matrix(matrix))
def test_is_diagonal_matrix_true(self):
matrix = zeros([5, 5], dtype='4float64')
for i in range(5):
matrix[i][i] = (1.0, 0.0, 0.0, 0.0)
self.assertTrue(is_diagonal_matrix(matrix))
