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Diffstat (limited to 'ml/dlib/tools/python/test/test_matrix.py')
-rw-r--r-- | ml/dlib/tools/python/test/test_matrix.py | 100 |
1 files changed, 0 insertions, 100 deletions
diff --git a/ml/dlib/tools/python/test/test_matrix.py b/ml/dlib/tools/python/test/test_matrix.py deleted file mode 100644 index cdd9bed13..000000000 --- a/ml/dlib/tools/python/test/test_matrix.py +++ /dev/null @@ -1,100 +0,0 @@ -from dlib import matrix -try: - import cPickle as pickle # Use cPickle on Python 2.7 -except ImportError: - import pickle -from pytest import raises - -try: - import numpy - have_numpy = True -except ImportError: - have_numpy = False - - -def test_matrix_empty_init(): - m = matrix() - assert m.nr() == 0 - assert m.nc() == 0 - assert m.shape == (0, 0) - assert len(m) == 0 - assert repr(m) == "< dlib.matrix containing: >" - assert str(m) == "" - - -def test_matrix_from_list(): - m = matrix([[0, 1, 2], - [3, 4, 5], - [6, 7, 8]]) - assert m.nr() == 3 - assert m.nc() == 3 - assert m.shape == (3, 3) - assert len(m) == 3 - assert repr(m) == "< dlib.matrix containing: \n0 1 2 \n3 4 5 \n6 7 8 >" - assert str(m) == "0 1 2 \n3 4 5 \n6 7 8" - - deser = pickle.loads(pickle.dumps(m, 2)) - - for row in range(3): - for col in range(3): - assert m[row][col] == deser[row][col] - - -def test_matrix_from_list_with_invalid_rows(): - with raises(ValueError): - matrix([[0, 1, 2], - [3, 4], - [5, 6, 7]]) - - -def test_matrix_from_list_as_column_vector(): - m = matrix([0, 1, 2]) - assert m.nr() == 3 - assert m.nc() == 1 - assert m.shape == (3, 1) - assert len(m) == 3 - assert repr(m) == "< dlib.matrix containing: \n0 \n1 \n2 >" - assert str(m) == "0 \n1 \n2" - - -if have_numpy: - def test_matrix_from_object_with_2d_shape(): - m1 = numpy.array([[0, 1, 2], - [3, 4, 5], - [6, 7, 8]]) - m = matrix(m1) - assert m.nr() == 3 - assert m.nc() == 3 - assert m.shape == (3, 3) - assert len(m) == 3 - assert repr(m) == "< dlib.matrix containing: \n0 1 2 \n3 4 5 \n6 7 8 >" - assert str(m) == "0 1 2 \n3 4 5 \n6 7 8" - - - def test_matrix_from_object_without_2d_shape(): - with raises(IndexError): - m1 = numpy.array([0, 1, 2]) - matrix(m1) - - -def test_matrix_from_object_without_shape(): - with raises(AttributeError): - matrix("invalid") - - -def test_matrix_set_size(): - m = matrix() - m.set_size(5, 5) - - assert m.nr() == 5 - assert m.nc() == 5 - assert m.shape == (5, 5) - assert len(m) == 5 - assert repr(m) == "< dlib.matrix containing: \n0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0 >" - assert str(m) == "0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0 \n0 0 0 0 0" - - deser = pickle.loads(pickle.dumps(m, 2)) - - for row in range(5): - for col in range(5): - assert m[row][col] == deser[row][col] |