def test_unique_rows_with_view(self):
# unique_rows doesn't work when flags['OWNDATA'] is False,
# happens when second dimension is created through broadcast
a = np.array([1, 2])
assert_array_equal(util.unique_rows(a[None, :]),
np.array([[1, 2]]))
def test_unique_rows_with_view(self):
# unique_rows doesn't work when flags['OWNDATA'] is False,
# happens when second dimension is created through broadcast
a = np.array([1, 2])
assert_array_equal(util.unique_rows(a[None, :]),
np.array([[1, 2]]))
def test_unique_rows_3(self):
a = np.array([[0, 1, 2], [0, 1, 2], [2, 3, 4], [0, 1, 2]])
assert_array_equal(util.unique_rows(a), np.array([[0, 1, 2], [2, 3,
4]]))
def test_unique_rows_2(self):
a = np.array([[0, 1], [1, 2], [2, 1], [0, 1], [0, 1], [2, 1]])
assert_array_equal(util.unique_rows(a),
np.array([[0, 1], [1, 2], [2, 1]]))
def test_unique_rows_3(self):
a = np.array([[0, 1, 2], [0, 1, 2], [2, 3, 4], [0, 1, 2]])
assert_array_equal(util.unique_rows(a),
np.array([[0, 1, 2], [2, 3, 4]]))
def test_unique_rows_2(self):
a = np.array([[0, 1], [1, 2], [2, 1], [0, 1], [0, 1], [2, 1]])
assert_array_equal(util.unique_rows(a),
np.array([[0, 1], [1, 2], [2, 1]]))