changes

Author: topper-123

pandas/core/common.py

@@ -490,13 +490,3 @@ def f(x):
         f = mapper
 
     return f
-
-
-def ensure_python_int(value: Union[int, Any]) -> int:
-    msg = "Wrong type {} for value {}"
-    try:
-        new_value = int(value)
-        assert (new_value == value)
-    except (TypeError, ValueError, AssertionError):
-        raise TypeError(msg.format(type(value), value))
-    return new_value

pandas/core/dtypes/cast.py

@@ -1,6 +1,7 @@
 """ routings for casting """
 
 from datetime import datetime, timedelta
+from typing import Any, Union
 
 import numpy as np
 
@@ -1333,3 +1334,13 @@ def maybe_cast_to_integer_array(arr, dtype, copy=False):
     if is_integer_dtype(dtype) and (is_float_dtype(arr) or
                                     is_object_dtype(arr)):
         raise ValueError("Trying to coerce float values to integers")
+
+
+def ensure_python_int(value: Union[int, Any]) -> int:
+    msg = "Wrong type {} for value {}"
+    try:
+        new_value = int(value)
+        assert (new_value == value)
+    except (TypeError, ValueError, AssertionError):
+        raise TypeError(msg.format(type(value), value))
+    return new_value

pandas/core/indexes/range.py

@@ -10,7 +10,7 @@
 from pandas.compat.numpy import function as nv
 from pandas.util._decorators import Appender, cache_readonly
 
-from pandas.core.dtypes import concat as _concat
+from pandas.core.dtypes import cast, concat as _concat
 from pandas.core.dtypes.common import (
     is_int64_dtype, is_integer, is_scalar, is_timedelta64_dtype)
 from pandas.core.dtypes.generic import (
@@ -318,7 +318,7 @@ def has_duplicates(self):
     def __contains__(self, key):
         hash(key)
         try:
-            key = com.ensure_python_int(key)
+            key = cast.ensure_python_int(key)
         except TypeError:
             return False
         return key in self._range