clean up

Author: tasfia8

pandas/core/arrays/string_arrow.py

@@ -5,7 +5,7 @@
 from typing import (
     TYPE_CHECKING,
     Union,
-    KeysView, #Bug fix 60343 to handle dict_keys type explicitely
+    KeysView, #Bug fix to handle dict_keys type explicitely
 )
 import warnings
 
@@ -190,7 +190,7 @@ def _from_sequence(
 
         _chk_pyarrow_available()
 
-        # Handle explicit dtype "string" or "str" Bug fix 60343
+        # Bug fix handle explicit dtype "string" or "str"
         if dtype:
             if isinstance(dtype, str) and dtype == "str":
             # Use StringDtype with Python storage explicitly
@@ -211,7 +211,7 @@ def _from_sequence(
             return cls(pc.cast(scalars, pa.large_string()))
 
 
-        elif isinstance(scalars, KeysView): #Bug Fix 60343
+        elif isinstance(scalars, KeysView): #Bug Fix
             #Convert dict_keys to a NumPy array. Note dict_keys is a type alias for KeysView.
             scalars = list(scalars)
 

pandas/core/construction.py

@@ -666,11 +666,11 @@ def sanitize_array(
         subarr = _sanitize_str_dtypes(subarr, data, dtype, copy)
 
     from pandas.core.arrays.string_ import StringDtype
-    if dtype == "str": #Bug fix 60343
+    if dtype == "str": #Bug fix
         # Use StringDtype explicitly when dtype="str"
         dtype = StringDtype(storage="python")
 
-    if isinstance(data, KeysView): #Bug fix 60343
+    if isinstance(data, KeysView): #Bug fix
         # Convert dict_keys to a list for processing
         data = list(data)
 

pandas/core/indexes/base.py

@@ -483,12 +483,12 @@ def __new__(
         tupleize_cols: bool = True,
     ) -> Self:
         from pandas.core.indexes.range import RangeIndex
-        from pandas.core.arrays.string_ import StringDtype #Bug fix 60343
+        from pandas.core.arrays.string_ import StringDtype #Bug fix
 
         name = maybe_extract_name(name, data, cls)
 
         if dtype is not None:
-            if dtype == "str": #Bug fix 60343
+            if dtype == "str": #Bug fix
                 dtype = StringDtype(storage="python")
             dtype = pandas_dtype(dtype)
 

pandas/tests/indexes/test_base.py

@@ -693,7 +693,7 @@ def test_is_numeric(self, index, expected):
     def test_is_object(self, index, expected, using_infer_string):
         if using_infer_string and index.dtype == "string" and expected:
             expected = False
-        #Bug fix 60343
+        #Bug fix 
         if index.dtype.name == "string":
             assert not is_object_dtype(index)  # string[python] is not an object dtype
         elif index.dtype.name == "object":
@@ -1744,7 +1744,7 @@ def test_is_monotonic_pyarrow_list_type():
     assert not idx.is_monotonic_increasing
     assert not idx.is_monotonic_decreasing
 
-def test_index_from_dict_keys_with_dtype():  # Bug fix 60343
+def test_index_from_dict_keys_with_dtype():  # Bug fix
     d = {"a": 1, "b": 2}
 
     # Test without dtype (default inference)