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Run Isort on tests/arrays single PR (pandas-dev#23346)
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‎pandas/tests/arrays/categorical/test_algos.py

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import pytest
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import numpy as np
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import pytest
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import pandas as pd
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import pandas.util.testing as tm

‎pandas/tests/arrays/categorical/test_analytics.py

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# -*- coding: utf-8 -*-
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import pytest
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import sys
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import numpy as np
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import pytest
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import pandas.util.testing as tm
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from pandas import Categorical, Index, Series
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from pandas.compat import PYPY
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‎pandas/tests/arrays/categorical/test_api.py

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# -*- coding: utf-8 -*-
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import pytest
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import numpy as np
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import pytest
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import pandas.util.testing as tm
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from pandas import Categorical, CategoricalIndex, Index, Series, DataFrame
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from pandas import Categorical, CategoricalIndex, DataFrame, Index, Series
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from pandas.core.arrays.categorical import _recode_for_categories
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from pandas.tests.arrays.categorical.common import TestCategorical
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‎pandas/tests/arrays/categorical/test_constructors.py

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# -*- coding: utf-8 -*-
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import pytest
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from datetime import datetime
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import numpy as np
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import pytest
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import pandas as pd
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import pandas.util.testing as tm
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from pandas import (Categorical, Index, Series, Timestamp,
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CategoricalIndex, date_range, DatetimeIndex,
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period_range, timedelta_range, NaT,
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Interval, IntervalIndex)
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from pandas.core.dtypes.dtypes import CategoricalDtype
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from pandas import (
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Categorical, CategoricalIndex, DatetimeIndex, Index, Interval,
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IntervalIndex, NaT, Series, Timestamp, date_range, period_range,
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timedelta_range
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)
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from pandas.core.dtypes.common import is_float_dtype, is_integer_dtype
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from pandas.core.dtypes.dtypes import CategoricalDtype
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class TestCategoricalConstructors(object):

‎pandas/tests/arrays/categorical/test_dtypes.py

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# -*- coding: utf-8 -*-
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import pytest
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import numpy as np
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import pytest
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import pandas.util.testing as tm
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from pandas.core.dtypes.dtypes import CategoricalDtype
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from pandas import Categorical, CategoricalIndex, Index, Series, Timestamp
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from pandas.compat import long
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from pandas import Categorical, Index, CategoricalIndex, Series, Timestamp
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from pandas.core.dtypes.dtypes import CategoricalDtype
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class TestCategoricalDtypes(object):

‎pandas/tests/arrays/categorical/test_indexing.py

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# -*- coding: utf-8 -*-
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import pytest
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import numpy as np
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import pytest
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import pandas.util.testing as tm
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from pandas import Categorical, Index, CategoricalIndex, PeriodIndex, Series
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import pandas.core.common as com
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import pandas.util.testing as tm
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from pandas import Categorical, CategoricalIndex, Index, PeriodIndex, Series
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from pandas.tests.arrays.categorical.common import TestCategorical
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‎pandas/tests/arrays/categorical/test_operators.py

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# -*- coding: utf-8 -*-
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import numpy as np
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import pytest
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import pandas as pd
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import numpy as np
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import pandas.util.testing as tm
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from pandas import Categorical, Series, DataFrame, date_range
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from pandas import Categorical, DataFrame, Series, date_range
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from pandas.tests.arrays.categorical.common import TestCategorical
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‎pandas/tests/arrays/categorical/test_repr.py

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import numpy as np
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from pandas import (Categorical, Series, CategoricalIndex, date_range,
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period_range, timedelta_range)
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from pandas.compat import u, PY3
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from pandas import (
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Categorical, CategoricalIndex, Series, date_range, period_range,
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timedelta_range
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)
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from pandas.compat import PY3, u
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from pandas.core.config import option_context
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from pandas.tests.arrays.categorical.common import TestCategorical
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‎pandas/tests/arrays/sparse/test_arithmetics.py

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import numpy as np
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import pytest
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import pandas as pd
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import pandas.util.testing as tm
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from pandas.core.sparse.api import SparseDtype

‎pandas/tests/arrays/sparse/test_array.py

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from pandas.compat import range
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import re
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import operator
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import pytest
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import re
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import warnings
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from numpy import nan
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import numpy as np
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import pandas as pd
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import pytest
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from numpy import nan
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from pandas.core.sparse.api import SparseArray, SparseSeries, SparseDtype
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import pandas as pd
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import pandas.util._test_decorators as td
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import pandas.util.testing as tm
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from pandas._libs.sparse import IntIndex
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from pandas.compat import range
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from pandas.core.sparse.api import SparseArray, SparseDtype, SparseSeries
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from pandas.util.testing import assert_almost_equal
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import pandas.util.testing as tm
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import pandas.util._test_decorators as td
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@pytest.fixture(params=["integer", "block"])

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