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

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

Author: grtcoder

pandas/core/arrays/datetimelike.py

@@ -112,13 +112,13 @@
 )
 
 from pandas.core import (
+    algorithms,
     nanops,
     ops,
 )
 from pandas.core.algorithms import (
     checked_add_with_arr,
     isin,
-    mode,
     unique1d,
 )
 from pandas.core.arraylike import OpsMixin
@@ -1690,7 +1690,7 @@ def _mode(self, dropna: bool = True):
         if dropna:
             mask = self.isna()
 
-        i8modes = mode(self.view("i8"), mask=mask)
+        i8modes = algorithms.algos.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

@@ -61,11 +61,13 @@
     ops,
 )
 from pandas.core.accessor import DirNamesMixin
-from pandas.core.algorithms import (
-    duplicated,
-    unique1d,
-    value_counts,
-)
+from pandas.core.algorithms import algos
+
+# from pandas.core.algorithms import (
+#     duplicated as duplicated_func,
+#     unique1d,
+#     value_counts,
+# )
 from pandas.core.arraylike import OpsMixin
 from pandas.core.arrays import ExtensionArray
 from pandas.core.construction import (
@@ -991,7 +993,7 @@ def value_counts(
         NaN    1
         dtype: int64
         """
-        return value_counts(
+        return algos.value_counts(
             self,
             sort=sort,
             ascending=ascending,
@@ -1006,7 +1008,7 @@ def unique(self):
             # i.e. ExtensionArray
             result = values.unique()
         else:
-            result = unique1d(values)
+            result = algos.unique1d(values)
         return result
 
     @final
@@ -1294,7 +1296,7 @@ def drop_duplicates(self, *, keep: DropKeep = "first"):
 
     @final
     def _duplicated(self, keep: DropKeep = "first") -> npt.NDArray[np.bool_]:
-        return duplicated(self._values, keep=keep)
+        return algos.duplicated(self._values, keep=keep)
 
     def _arith_method(self, other, op):
         res_name = ops.get_op_result_name(self, other)

pandas/core/computation/pytables.py

@@ -650,7 +650,7 @@ def maybe_expression(s) -> bool:
     """loose checking if s is a pytables-acceptable expression"""
     if not isinstance(s, str):
         return False
-    ops = PyTablesExprVisitor.binary_ops + PyTablesExprVisitor.unary_ops + ("=",)
+    operations = PyTablesExprVisitor.binary_ops + PyTablesExprVisitor.unary_ops + ("=",)
 
     # make sure we have an op at least
-    return any(op in s for op in ops)
+    return any(op in s for op in operations)