fix lint

Author: Brian Tu

pandas/core/indexes/base.py

@@ -2704,7 +2704,7 @@ def _convert_tolerance(self, tolerance, target):
         tolerance = np.asarray(tolerance)
         if target.size != tolerance.size and tolerance.size > 1:
             raise ValueError('list-like tolerance size must match '
-                                'target index size')
+                             'target index size')
         return tolerance
 
     def _get_fill_indexer(self, target, method, limit=None, tolerance=None):

pandas/core/indexes/datetimelike.py

@@ -436,7 +436,7 @@ def _convert_tolerance(self, tolerance, target):
         tolerance = np.asarray(to_timedelta(tolerance, box=False))
         if target.size != tolerance.size and tolerance.size > 1:
             raise ValueError('list-like tolerance size must match '
-                                'target index size')
+                             'target index size')
         return tolerance
 
     def _maybe_mask_results(self, result, fill_value=None, convert=None):

pandas/core/indexes/numeric.py

@@ -75,7 +75,7 @@ def _convert_tolerance(self, tolerance, target):
         tolerance = np.asarray(tolerance)
         if target.size != tolerance.size and tolerance.size > 1:
             raise ValueError('list-like tolerance size must match '
-                                'target index size')
+                             'target index size')
         if not np.issubdtype(tolerance.dtype, np.number):
             if tolerance.ndim > 0:
                 raise ValueError(('tolerance argument for %s must contain '

pandas/core/indexes/period.py

@@ -916,10 +916,10 @@ def _get_string_slice(self, key):
 
     def _convert_tolerance(self, tolerance, target):
         tolerance = DatetimeIndexOpsMixin._convert_tolerance(self, tolerance,
-                                                                   target)
+                                                             target)
         if target.size != tolerance.size and tolerance.size > 1:
             raise ValueError('list-like tolerance size must match '
-                                'target index size')
+                             'target index size')
         return self._maybe_convert_timedelta(tolerance)
 
     def insert(self, loc, item):