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-rw-r--r--ml/dlib/tools/python/test/test_matrix.py100
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]