From fc6f43a23f8bc62bcc10a0e6531ac78d309a3620 Mon Sep 17 00:00:00 2001 From: gspr Date: Wed, 29 Dec 2021 22:53:42 +0100 Subject: Use assert_allclose instead of assert_equal in tests to allow for different floating point behavior on different architectures or optimization levels. (#49) --- test/test_regression/test_regression_15.py | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) (limited to 'test/test_regression') diff --git a/test/test_regression/test_regression_15.py b/test/test_regression/test_regression_15.py index 54adf23..81b5bb0 100644 --- a/test/test_regression/test_regression_15.py +++ b/test/test_regression/test_regression_15.py @@ -11,7 +11,7 @@ Distributed under the BSD License from __future__ import division import numpy as np -from numpy.testing import assert_equal, assert_almost_equal, \ +from numpy.testing import assert_allclose, assert_almost_equal, \ assert_array_almost_equal import pyspike as spk @@ -28,15 +28,15 @@ def test_regression_15_isi(): N = len(spike_trains) dist_mat = spk.isi_distance_matrix(spike_trains) - assert_equal(dist_mat.shape, (N, N)) + assert_allclose(dist_mat.shape, (N, N)) ind = np.arange(N//2) dist_mat = spk.isi_distance_matrix(spike_trains, ind) - assert_equal(dist_mat.shape, (N//2, N//2)) + assert_allclose(dist_mat.shape, (N//2, N//2)) ind = np.arange(N//2, N) dist_mat = spk.isi_distance_matrix(spike_trains, ind) - assert_equal(dist_mat.shape, (N//2, N//2)) + assert_allclose(dist_mat.shape, (N//2, N//2)) def test_regression_15_spike(): @@ -46,15 +46,15 @@ def test_regression_15_spike(): N = len(spike_trains) dist_mat = spk.spike_distance_matrix(spike_trains) - assert_equal(dist_mat.shape, (N, N)) + assert_allclose(dist_mat.shape, (N, N)) ind = np.arange(N//2) dist_mat = spk.spike_distance_matrix(spike_trains, ind) - assert_equal(dist_mat.shape, (N//2, N//2)) + assert_allclose(dist_mat.shape, (N//2, N//2)) ind = np.arange(N//2, N) dist_mat = spk.spike_distance_matrix(spike_trains, ind) - assert_equal(dist_mat.shape, (N//2, N//2)) + assert_allclose(dist_mat.shape, (N//2, N//2)) def test_regression_15_sync(): @@ -64,15 +64,15 @@ def test_regression_15_sync(): N = len(spike_trains) dist_mat = spk.spike_sync_matrix(spike_trains) - assert_equal(dist_mat.shape, (N, N)) + assert_allclose(dist_mat.shape, (N, N)) ind = np.arange(N//2) dist_mat = spk.spike_sync_matrix(spike_trains, ind) - assert_equal(dist_mat.shape, (N//2, N//2)) + assert_allclose(dist_mat.shape, (N//2, N//2)) ind = np.arange(N//2, N) dist_mat = spk.spike_sync_matrix(spike_trains, ind) - assert_equal(dist_mat.shape, (N//2, N//2)) + assert_allclose(dist_mat.shape, (N//2, N//2)) if __name__ == "__main__": -- cgit v1.2.3