STYLE: fix pylint redefined-outer-name warnings (pandas-dev#49656)

Fixed warnings for the following files :-
 - pandas/core/arrays/datetimelike.py
 - pandas/core/base.py
 - pandas/core/computation/pytables.py
Iteration :- 2

Author: grtcoder

pandas/core/arrays/datetimelike.py

@@ -1690,7 +1690,7 @@ def _mode(self, dropna: bool = True):
         if dropna:
             mask = self.isna()
 
-        i8modes = algorithms.algos.mode(self.view("i8"), mask=mask)
+        i8modes = algorithms.mode(self.view("i8"), mask=mask)
         npmodes = i8modes.view(self._ndarray.dtype)
         npmodes = cast(np.ndarray, npmodes)
         return self._from_backing_data(npmodes)

pandas/core/base.py

@@ -61,7 +61,6 @@
     ops,
 )
 from pandas.core.accessor import DirNamesMixin
-from pandas.core.algorithms import algos
 from pandas.core.arraylike import OpsMixin
 from pandas.core.arrays import ExtensionArray
 from pandas.core.construction import (
@@ -987,7 +986,7 @@ def value_counts(
         NaN    1
         dtype: int64
         """
-        return algos.value_counts(
+        return algorithms.value_counts(
             self,
             sort=sort,
             ascending=ascending,
@@ -1002,7 +1001,7 @@ def unique(self):
             # i.e. ExtensionArray
             result = values.unique()
         else:
-            result = algos.unique1d(values)
+            result = algorithms.unique1d(values)
         return result
 
     @final
@@ -1290,7 +1289,7 @@ def drop_duplicates(self, *, keep: DropKeep = "first"):
 
     @final
     def _duplicated(self, keep: DropKeep = "first") -> npt.NDArray[np.bool_]:
-        return algos.duplicated(self._values, keep=keep)
+        return algorithms.duplicated(self._values, keep=keep)
 
     def _arith_method(self, other, op):
         res_name = ops.get_op_result_name(self, other)