Fixed linting issues

Author: tm9k1

pandas/_libs/lib.pyx

@@ -156,7 +156,7 @@ def is_scalar(val: object) -> bool:
 
     return (cnp.PyArray_IsAnyScalar(val)
             # As of numpy-1.9, PyArray_IsAnyScalar misses bytearrays on Py3.
-            or isinstance(val,(bytes, Fraction, Number))
+            or isinstance(val, (bytes, Fraction, Number))
             # We differ from numpy (as of 1.10), which claims that None is
             # not scalar in np.isscalar().
             or val is None
@@ -168,6 +168,7 @@ def is_scalar(val: object) -> bool:
             or is_interval(val)
             or util.is_offset_object(val))
 
+
 def item_from_zerodim(val: object) -> object:
     """
     If the value is a zerodim array, return the item it contains.

pandas/tests/dtypes/test_inference.py

@@ -1250,6 +1250,7 @@ def test_is_scalar_pandas_containers(self):
         assert not is_scalar(Index([]))
         assert not is_scalar(Index([1]))
 
+
 def test_datetimeindex_from_empty_datetime64_array():
     for unit in ['ms', 'us', 'ns']:
         idx = DatetimeIndex(np.array([], dtype='datetime64[%s]' % unit))