def test_valuecount(self): for a, expected_b in ( [[[1, 1, 1, 1], [0.1, 0.2, 0.3, 0.4]], [[1], [1]]], [[[1, 1, 1, 2], [0.1, 0.2, 0.3, 0.4]], [[1, 2], [0.6, 0.4]]], [[[0, 1, 1, 1], [0.1, 0.2, 0.3, 0.4]], [[0, 1], [0.1, 0.9]]], [[[0, 1, 1, 2], [0.1, 0.2, 0.3, 0.4]], [[0, 1, 2], [0.1, 0.5, 0.4]]], [[[0, 1, 2, 3], [0.1, 0.2, 0.3, 0.4]], None], [[[0], [0.1]], None], [np.ones((2, 1)), None], ): a = np.array(a) b = _valuecount.valuecount(a) if expected_b is not None: np.testing.assert_almost_equal(b, expected_b) else: np.testing.assert_almost_equal(b, a) for value in ( [np.array([[0, 1], [2, 3]])], [np.ones(2)], [np.ones((3, 3))], None, ): self.assertRaises(TypeError, _valuecount.valuecount, value)
def test_valuecount(self): a = np.array([[1, 1, 1, 1], [0.1, 0.2, 0.3, 0.4]]) b = _valuecount.valuecount(a) np.testing.assert_almost_equal(b, [[1], [1]]) a = np.array([[1, 1, 1, 2], [0.1, 0.2, 0.3, 0.4]]) b = _valuecount.valuecount(a) np.testing.assert_almost_equal(b, [[1, 2], [0.6, 0.4]]) a = np.array([[0, 1, 1, 2], [0.1, 0.2, 0.3, 0.4]]) b = _valuecount.valuecount(a) np.testing.assert_almost_equal(b, [[0, 1, 2], [0.1, 0.5, 0.4]]) a = np.array([[0, 1, 2, 3], [0.1, 0.2, 0.3, 0.4]]) b = _valuecount.valuecount(a) np.testing.assert_almost_equal(b, a) a = np.array([[0], [0.1]]) b = _valuecount.valuecount(a) np.testing.assert_almost_equal(b, a) a = np.ones((2, 1)) b = _valuecount.valuecount(a) np.testing.assert_almost_equal(b, a) a = np.array([[0, 1], [2, 3]]) self.assertRaises(ValueError, _valuecount.valuecount, a) a = np.ones(2) self.assertRaises(ValueError, _valuecount.valuecount, a) a = np.ones((3, 3)) self.assertRaises(ValueError, _valuecount.valuecount, a) self.assertRaises(TypeError, _valuecount.valuecount, None)
def test_valuecount(self): for a, expected_b in ([[[1, 1, 1, 1], [0.1, 0.2, 0.3, 0.4]], [[1], [1]]], [[[1, 1, 1, 2], [0.1, 0.2, 0.3, 0.4]], [[1, 2], [0.6, 0.4]]], [[[0, 1, 1, 1], [0.1, 0.2, 0.3, 0.4]], [[0, 1], [0.1, 0.9]]], [[[0, 1, 1, 2], [0.1, 0.2, 0.3, 0.4]], [[0, 1, 2], [0.1, 0.5, 0.4]]], [[[0, 1, 2, 3], [0.1, 0.2, 0.3, 0.4]], None], [[[0], [0.1]], None], [np.ones((2, 1)), None]): a = np.array(a) b = _valuecount.valuecount(a) if expected_b is not None: np.testing.assert_almost_equal(b, expected_b) else: np.testing.assert_almost_equal(b, a) for value in ([np.array([[0, 1], [2, 3]])], [np.ones(2)], [np.ones((3, 3))], None): self.assertRaises(TypeError, _valuecount.valuecount, value)