1 files changed, 100 insertions, 0 deletions
diff --git a/ml/dlib/tools/python/test/test_matrix.py b/ml/dlib/tools/python/test/test_matrix.py
new file mode 100644
index 00000000..cdd9bed1
--- /dev/null
+++ b/ml/dlib/tools/python/test/test_matrix.py
@@ -0,0 +1,100 @@
+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]