diff options
Diffstat (limited to 'numpy/testing/tests/test_utils.py')
-rw-r--r-- | numpy/testing/tests/test_utils.py | 76 |
1 files changed, 76 insertions, 0 deletions
diff --git a/numpy/testing/tests/test_utils.py b/numpy/testing/tests/test_utils.py index 94fc4d655..aa0a2669f 100644 --- a/numpy/testing/tests/test_utils.py +++ b/numpy/testing/tests/test_utils.py @@ -53,6 +53,9 @@ class _GenericTest(object): a = np.array([1, 1], dtype=np.object) self._test_equal(a, 1) + def test_array_likes(self): + self._test_equal([1, 2, 3], (1, 2, 3)) + class TestArrayEqual(_GenericTest, unittest.TestCase): def setUp(self): self._assert_func = assert_array_equal @@ -131,6 +134,49 @@ class TestArrayEqual(_GenericTest, unittest.TestCase): self._test_not_equal(c, b) +class TestBuildErrorMessage(unittest.TestCase): + def test_build_err_msg_defaults(self): + x = np.array([1.00001, 2.00002, 3.00003]) + y = np.array([1.00002, 2.00003, 3.00004]) + err_msg = 'There is a mismatch' + + a = build_err_msg([x, y], err_msg) + b = ('\nItems are not equal: There is a mismatch\n ACTUAL: array([ ' + '1.00001, 2.00002, 3.00003])\n DESIRED: array([ 1.00002, ' + '2.00003, 3.00004])') + self.assertEqual(a, b) + + def test_build_err_msg_no_verbose(self): + x = np.array([1.00001, 2.00002, 3.00003]) + y = np.array([1.00002, 2.00003, 3.00004]) + err_msg = 'There is a mismatch' + + a = build_err_msg([x, y], err_msg, verbose=False) + b = '\nItems are not equal: There is a mismatch' + self.assertEqual(a, b) + + def test_build_err_msg_custom_names(self): + x = np.array([1.00001, 2.00002, 3.00003]) + y = np.array([1.00002, 2.00003, 3.00004]) + err_msg = 'There is a mismatch' + + a = build_err_msg([x, y], err_msg, names=('FOO', 'BAR')) + b = ('\nItems are not equal: There is a mismatch\n FOO: array([ ' + '1.00001, 2.00002, 3.00003])\n BAR: array([ 1.00002, 2.00003, ' + '3.00004])') + self.assertEqual(a, b) + + def test_build_err_msg_custom_precision(self): + x = np.array([1.000000001, 2.00002, 3.00003]) + y = np.array([1.000000002, 2.00003, 3.00004]) + err_msg = 'There is a mismatch' + + a = build_err_msg([x, y], err_msg, precision=10) + b = ('\nItems are not equal: There is a mismatch\n ACTUAL: array([ ' + '1.000000001, 2.00002 , 3.00003 ])\n DESIRED: array([ ' + '1.000000002, 2.00003 , 3.00004 ])') + self.assertEqual(a, b) + class TestEqual(TestArrayEqual): def setUp(self): self._assert_func = assert_equal @@ -236,6 +282,31 @@ class TestAlmostEqual(_GenericTest, unittest.TestCase): self._test_not_equal(x, y) self._test_not_equal(x, z) + def test_error_message(self): + """Check the message is formatted correctly for the decimal value""" + x = np.array([1.00000000001, 2.00000000002, 3.00003]) + y = np.array([1.00000000002, 2.00000000003, 3.00004]) + + # test with a different amount of decimal digits + # note that we only check for the formatting of the arrays themselves + b = ('x: array([ 1.00000000001, 2.00000000002, 3.00003 ' + ' ])\n y: array([ 1.00000000002, 2.00000000003, 3.00004 ])') + try: + self._assert_func(x, y, decimal=12) + except AssertionError as e: + # remove anything that's not the array string + self.assertEqual(str(e).split('%)\n ')[1], b) + + # with the default value of decimal digits, only the 3rd element differs + # note that we only check for the formatting of the arrays themselves + b = ('x: array([ 1. , 2. , 3.00003])\n y: array([ 1. , ' + '2. , 3.00004])') + try: + self._assert_func(x, y) + except AssertionError as e: + # remove anything that's not the array string + self.assertEqual(str(e).split('%)\n ')[1], b) + class TestApproxEqual(unittest.TestCase): def setUp(self): self._assert_func = assert_approx_equal @@ -373,6 +444,11 @@ class TestAssertAllclose(unittest.TestCase): assert_allclose(6, 10, rtol=0.5) self.assertRaises(AssertionError, assert_allclose, 10, 6, rtol=0.5) + def test_min_int(self): + a = np.array([np.iinfo(np.int_).min], dtype=np.int_) + # Should not raise: + assert_allclose(a, a) + class TestArrayAlmostEqualNulp(unittest.TestCase): @dec.knownfailureif(True, "Github issue #347") |