linting

Author: btel

pandas/core/indexes/multi.py

@@ -2,6 +2,7 @@
 # pylint: disable=E1101,E1103,W0232
 import datetime
 import warnings
+from functools import reduce
 from sys import getsizeof
 
 import numpy as np
@@ -2900,11 +2901,12 @@ def isin(self, values, level=None):
                 return np.lib.arraysetops.in1d(labs, sought_labels)
 
     def searchsorted(self, arr):
-        from functools import reduce
-        dtype = reduce(lambda x, y : x + y, [l.dtype.descr for l in self.levels], [])
-        return self.values.astype(dtype).searchsorted(np.asarray(arr, dtype=dtype))
+        dtype = [l.dtype.descr for l in self.levels]
+        dtype = reduce(lambda x, y: x + y, dtype, [])
+        arr = np.asarray(arr, dtype=dtype)
+        values = self.values.astype(dtype)
+        return values.searchsorted(arr)
 
-    
 
 MultiIndex._add_numeric_methods_disabled()
 MultiIndex._add_numeric_methods_add_sub_disabled()
@@ -2939,6 +2941,5 @@ def _sparsify(label_list, start=0, sentinel=''):
     return lzip(*result)
 
 
-
 def _get_na_rep(dtype):
     return {np.datetime64: 'NaT', np.timedelta64: 'NaT'}.get(dtype, 'NaN')

pandas/tests/indexes/multi/test_indexing.py

@@ -347,6 +347,7 @@ def test_get_indexer_categorical_time():
     result = midx.get_indexer(midx)
     tm.assert_numpy_array_equal(result, np.arange(9, dtype=np.intp))
 
+
 def test_searchsorted():
     i = MultiIndex.from_tuples([('a', 0), ('b', 1)]).searchsorted(('b', 0))
     assert i == 1