@@ -37,9 +37,12 @@ def assert_series_or_index_or_array_or_categorical_equal(left, right):
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tm .assert_numpy_array_equal (left , right )
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elif isinstance (left , Categorical ):
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tm .assert_categorical_equal (left , right )
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+ elif isinstance (left , DatetimeArray ):
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+ tm .assert_extension_array_equal (left , right )
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else :
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# will fail
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- assert isinstance (left , (Series , Index , np .ndarray , Categorical ))
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+ assert isinstance (left , (Series , Index , np .ndarray ,
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+ Categorical , DatetimeArray ))
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class TestMatch (object ):
@@ -493,19 +496,19 @@ def test_datetime64tz_aware(self, method, box):
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result = method (obj )
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assert_series_or_index_or_array_or_categorical_equal (result , expected )
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- if method == pd . unique :
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- # [ Series/Index].unique do not yet support return_inverse=True
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-
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- # reuse result as expected outcome of return_inverse case
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- expected_uniques = result .copy ()
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- result_uniques , result_inverse = method (obj , return_inverse = True )
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-
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- assert_series_or_index_or_array_or_categorical_equal (
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- result_uniques , expected_uniques )
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-
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- # reconstruction can only work if inverse is correct
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- reconstr = box (result_uniques [result_inverse ])
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- assert_series_or_index_or_array_or_categorical_equal (reconstr , obj )
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+ # TODO: add support for return_inverse to DatetimeArray/DatetimeIndex,
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+ # as well as [[ Series/Index].unique
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+
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+ # # reuse result as expected outcome of return_inverse case
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+ # expected_uniques = result.copy()
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+ # result_uniques, result_inverse = method(obj, return_inverse=True)
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+ #
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+ # assert_series_or_index_or_array_or_categorical_equal(
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+ # result_uniques, expected_uniques)
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+ #
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+ # # reconstruction can only work if inverse is correct
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+ # reconstr = box(result_uniques[result_inverse])
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+ # assert_series_or_index_or_array_or_categorical_equal(reconstr, obj)
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def test_order_of_appearance (self ):
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# 9346
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