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CIContinuous IntegrationContinuous IntegrationTestingpandas testing functions or related to the test suitepandas testing functions or related to the test suiteUnreliable TestUnit tests that occasionally failUnit tests that occasionally fail
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https://circleci.com/gh/pandas-dev/pandas/12793#tests/containers/3
=================================== FAILURES ===================================
___________________________ TestMethods.test_argsort ___________________________
self = <pandas.tests.extension.json.test_json.TestMethods object at 0x7f1c0e0997f0>
data_for_sorting = JSONArary([{'b': 1}, {'c': 4}, {'c': 3, 'a': 2}])
@unstable
def test_argsort(self, data_for_sorting):
> super(TestMethods, self).test_argsort(data_for_sorting)
pandas/tests/extension/json/test_json.py:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pandas/tests/extension/base/methods.py:38: in test_argsort
self.assert_series_equal(result, expected)
pandas/util/testing.py:1218: in assert_series_equal
obj='{obj}'.format(obj=obj))
pandas/_libs/testing.pyx:59: in pandas._libs.testing.assert_almost_equal
cpdef assert_almost_equal(a, b,
pandas/_libs/testing.pyx:173: in pandas._libs.testing.assert_almost_equal
raise_assert_detail(obj, msg, lobj, robj)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
obj = 'Series', message = 'Series values are different (66.66667 %)'
left = '[0, 2, 1]', right = '[2, 0, 1]', diff = None
def raise_assert_detail(obj, message, left, right, diff=None):
if isinstance(left, np.ndarray):
left = pprint_thing(left)
elif is_categorical_dtype(left):
left = repr(left)
if isinstance(right, np.ndarray):
right = pprint_thing(right)
elif is_categorical_dtype(right):
right = repr(right)
msg = """{obj} are different
{message}
[left]: {left}
[right]: {right}""".format(obj=obj, message=message, left=left, right=right)
if diff is not None:
msg += "\n[diff]: {diff}".format(diff=diff)
> raise AssertionError(msg)
E AssertionError: Series are different
E
E Series values are different (66.66667 %)
E [left]: [0, 2, 1]
E [right]: [2, 0, 1]
pandas/util/testing.py:1009: AssertionError
______________________ TestMethods.test_sort_values[True] ______________________
self = <pandas.tests.extension.json.test_json.TestMethods object at 0x7f1c0e0ee2b0>
data_for_sorting = JSONArary([{'b': 1}, {'c': 4}, {'c': 3, 'a': 2}])
ascending = True
@unstable
@pytest.mark.parametrize('ascending', [True, False])
def test_sort_values(self, data_for_sorting, ascending):
super(TestMethods, self).test_sort_values(
> data_for_sorting, ascending)
pandas/tests/extension/json/test_json.py:109:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pandas/tests/extension/base/methods.py:53: in test_sort_values
self.assert_series_equal(result, expected)
pandas/util/testing.py:1174: in assert_series_equal
obj='{obj}.index'.format(obj=obj))
pandas/util/testing.py:843: in assert_index_equal
obj=obj, lobj=left, robj=right)
pandas/_libs/testing.pyx:59: in pandas._libs.testing.assert_almost_equal
cpdef assert_almost_equal(a, b,
pandas/_libs/testing.pyx:173: in pandas._libs.testing.assert_almost_equal
raise_assert_detail(obj, msg, lobj, robj)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
obj = 'Series.index', message = 'Series.index values are different (66.66667 %)'
left = Int64Index([0, 2, 1], dtype='int64')
right = Int64Index([2, 0, 1], dtype='int64'), diff = None
def raise_assert_detail(obj, message, left, right, diff=None):
if isinstance(left, np.ndarray):
left = pprint_thing(left)
elif is_categorical_dtype(left):
left = repr(left)
if isinstance(right, np.ndarray):
right = pprint_thing(right)
elif is_categorical_dtype(right):
right = repr(right)
msg = """{obj} are different
{message}
[left]: {left}
[right]: {right}""".format(obj=obj, message=message, left=left, right=right)
if diff is not None:
msg += "\n[diff]: {diff}".format(diff=diff)
> raise AssertionError(msg)
E AssertionError: Series.index are different
E
E Series.index values are different (66.66667 %)
E [left]: Int64Index([0, 2, 1], dtype='int64')
E [right]: Int64Index([2, 0, 1], dtype='int64')
pandas/util/testing.py:1009: AssertionError
_____________________ TestMethods.test_sort_values[False] ______________________
self = <pandas.tests.extension.json.test_json.TestMethods object at 0x7f1c0d8d3978>
data_for_sorting = JSONArary([{'b': 1}, {'c': 4}, {'c': 3, 'a': 2}])
ascending = False
@unstable
@pytest.mark.parametrize('ascending', [True, False])
def test_sort_values(self, data_for_sorting, ascending):
super(TestMethods, self).test_sort_values(
> data_for_sorting, ascending)
pandas/tests/extension/json/test_json.py:109:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
pandas/tests/extension/base/methods.py:53: in test_sort_values
self.assert_series_equal(result, expected)
pandas/util/testing.py:1174: in assert_series_equal
obj='{obj}.index'.format(obj=obj))
pandas/util/testing.py:843: in assert_index_equal
obj=obj, lobj=left, robj=right)
pandas/_libs/testing.pyx:59: in pandas._libs.testing.assert_almost_equal
cpdef assert_almost_equal(a, b,
pandas/_libs/testing.pyx:173: in pandas._libs.testing.assert_almost_equal
raise_assert_detail(obj, msg, lobj, robj)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
obj = 'Series.index', message = 'Series.index values are different (66.66667 %)'
left = Int64Index([1, 2, 0], dtype='int64')
right = Int64Index([1, 0, 2], dtype='int64'), diff = None
def raise_assert_detail(obj, message, left, right, diff=None):
if isinstance(left, np.ndarray):
left = pprint_thing(left)
elif is_categorical_dtype(left):
left = repr(left)
if isinstance(right, np.ndarray):
right = pprint_thing(right)
elif is_categorical_dtype(right):
right = repr(right)
msg = """{obj} are different
{message}
[left]: {left}
[right]: {right}""".format(obj=obj, message=message, left=left, right=right)
if diff is not None:
msg += "\n[diff]: {diff}".format(diff=diff)
> raise AssertionError(msg)
E AssertionError: Series.index are different
E
E Series.index values are different (66.66667 %)
E [left]: Int64Index([1, 2, 0], dtype='int64')
E [right]: Int64Index([1, 0, 2], dtype='int64')
pandas/util/testing.py:1009: AssertionError
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CIContinuous IntegrationContinuous IntegrationTestingpandas testing functions or related to the test suitepandas testing functions or related to the test suiteUnreliable TestUnit tests that occasionally failUnit tests that occasionally fail