force single line = true

Author: MarcoGorelli

asv_bench/benchmarks/algos/isin.py

@@ -1,12 +1,10 @@
 import numpy as np
 
-from pandas import (
-    Categorical,
-    Index,
-    NaT,
-    Series,
-    date_range,
-)
+from pandas import Categorical
+from pandas import Index
+from pandas import NaT
+from pandas import Series
+from pandas import date_range
 
 from ..pandas_vb_common import tm
 

asv_bench/benchmarks/arithmetic.py

@@ -4,13 +4,11 @@
 import numpy as np
 
 import pandas as pd
-from pandas import (
-    DataFrame,
-    Series,
-    Timestamp,
-    date_range,
-    to_timedelta,
-)
+from pandas import DataFrame
+from pandas import Series
+from pandas import Timestamp
+from pandas import date_range
+from pandas import to_timedelta
 import pandas._testing as tm
 from pandas.core.algorithms import checked_add_with_arr
 

asv_bench/benchmarks/ctors.py

@@ -1,13 +1,11 @@
 import numpy as np
 
-from pandas import (
-    DatetimeIndex,
-    Index,
-    MultiIndex,
-    Series,
-    Timestamp,
-    date_range,
-)
+from pandas import DatetimeIndex
+from pandas import Index
+from pandas import MultiIndex
+from pandas import Series
+from pandas import Timestamp
+from pandas import date_range
 
 from .pandas_vb_common import tm
 

asv_bench/benchmarks/dtypes.py

@@ -5,17 +5,13 @@
 import pandas as pd
 from pandas import DataFrame
 import pandas._testing as tm
-from pandas.api.types import (
-    is_extension_array_dtype,
-    pandas_dtype,
-)
-
-from .pandas_vb_common import (
-    datetime_dtypes,
-    extension_dtypes,
-    numeric_dtypes,
-    string_dtypes,
-)
+from pandas.api.types import is_extension_array_dtype
+from pandas.api.types import pandas_dtype
+
+from .pandas_vb_common import datetime_dtypes
+from .pandas_vb_common import extension_dtypes
+from .pandas_vb_common import numeric_dtypes
+from .pandas_vb_common import string_dtypes
 
 _numpy_dtypes = [
     np.dtype(dtype) for dtype in (numeric_dtypes + datetime_dtypes + string_dtypes)

asv_bench/benchmarks/frame_ctor.py

@@ -1,30 +1,24 @@
 import numpy as np
 
 import pandas as pd
-from pandas import (
-    NA,
-    Categorical,
-    DataFrame,
-    Float64Dtype,
-    MultiIndex,
-    Series,
-    Timestamp,
-    date_range,
-)
+from pandas import Categorical
+from pandas import DataFrame
+from pandas import Float64Dtype
+from pandas import MultiIndex
+from pandas import NA
+from pandas import Series
+from pandas import Timestamp
+from pandas import date_range
 
 from .pandas_vb_common import tm
 
 try:
-    from pandas.tseries.offsets import (
-        Hour,
-        Nano,
-    )
+    from pandas.tseries.offsets import Hour
+    from pandas.tseries.offsets import Nano
 except ImportError:
     # For compatibility with older versions
-    from pandas.core.datetools import (
-        Hour,
-        Nano,
-    )
+    from pandas.core.datetools import Hour
+    from pandas.core.datetools import Nano
 
 
 class FromDicts:

asv_bench/benchmarks/frame_methods.py

@@ -3,16 +3,14 @@
 
 import numpy as np
 
-from pandas import (
-    DataFrame,
-    MultiIndex,
-    NaT,
-    Series,
-    date_range,
-    isnull,
-    period_range,
-    timedelta_range,
-)
+from pandas import DataFrame
+from pandas import MultiIndex
+from pandas import NaT
+from pandas import Series
+from pandas import date_range
+from pandas import isnull
+from pandas import period_range
+from pandas import timedelta_range
 
 from .pandas_vb_common import tm
 

asv_bench/benchmarks/gil.py

@@ -3,28 +3,24 @@
 
 import numpy as np
 
-from pandas import (
-    DataFrame,
-    Series,
-    date_range,
-    factorize,
-    read_csv,
-)
+from pandas import DataFrame
+from pandas import Series
+from pandas import date_range
+from pandas import factorize
+from pandas import read_csv
 from pandas.core.algorithms import take_nd
 
 from .pandas_vb_common import tm
 
 try:
-    from pandas import (
-        rolling_kurt,
-        rolling_max,
-        rolling_mean,
-        rolling_median,
-        rolling_min,
-        rolling_skew,
-        rolling_std,
-        rolling_var,
-    )
+    from pandas import rolling_kurt
+    from pandas import rolling_max
+    from pandas import rolling_mean
+    from pandas import rolling_median
+    from pandas import rolling_min
+    from pandas import rolling_skew
+    from pandas import rolling_std
+    from pandas import rolling_var
 
     have_rolling_methods = True
 except ImportError:
@@ -34,7 +30,6 @@
 except ImportError:
     from pandas import algos
 
-
 from .pandas_vb_common import BaseIO  # isort:skip
 
 

asv_bench/benchmarks/groupby.py

@@ -4,18 +4,16 @@
 
 import numpy as np
 
-from pandas import (
-    NA,
-    Categorical,
-    DataFrame,
-    Index,
-    MultiIndex,
-    Series,
-    Timestamp,
-    date_range,
-    period_range,
-    to_timedelta,
-)
+from pandas import Categorical
+from pandas import DataFrame
+from pandas import Index
+from pandas import MultiIndex
+from pandas import NA
+from pandas import Series
+from pandas import Timestamp
+from pandas import date_range
+from pandas import period_range
+from pandas import to_timedelta
 
 from .pandas_vb_common import tm
 

asv_bench/benchmarks/index_object.py

@@ -2,15 +2,13 @@
 
 import numpy as np
 
-from pandas import (
-    DatetimeIndex,
-    Index,
-    IntervalIndex,
-    MultiIndex,
-    RangeIndex,
-    Series,
-    date_range,
-)
+from pandas import DatetimeIndex
+from pandas import Index
+from pandas import IntervalIndex
+from pandas import MultiIndex
+from pandas import RangeIndex
+from pandas import Series
+from pandas import date_range
 
 from .pandas_vb_common import tm
 

asv_bench/benchmarks/indexing.py

@@ -7,19 +7,17 @@
 
 import numpy as np
 
-from pandas import (
-    NA,
-    CategoricalIndex,
-    DataFrame,
-    Index,
-    IntervalIndex,
-    MultiIndex,
-    Series,
-    concat,
-    date_range,
-    option_context,
-    period_range,
-)
+from pandas import CategoricalIndex
+from pandas import DataFrame
+from pandas import Index
+from pandas import IntervalIndex
+from pandas import MultiIndex
+from pandas import NA
+from pandas import Series
+from pandas import concat
+from pandas import date_range
+from pandas import option_context
+from pandas import period_range
 
 from .pandas_vb_common import tm