Changes to .all()

Author: topper-123

pandas/core/dtypes/cast.py

@@ -1,7 +1,6 @@
 """ routings for casting """
 
 from datetime import datetime, timedelta
-from typing import Any, Union
 
 import numpy as np
 
@@ -1334,13 +1333,3 @@ 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/dtypes/common.py

@@ -1,5 +1,6 @@
 """ common type operations """
 import warnings
+from typing import Union
 
 import numpy as np
 
@@ -125,6 +126,31 @@ def ensure_int_or_float(arr: ArrayLike, copy=False) -> np.array:
         return arr.astype('float64', copy=copy)
 
 
+def ensure_python_int(value: Union[int, np.integer]) -> int:
+    """
+    Ensure that a value is a python int.
+
+    Parameters
+    ----------
+    value: int or numpy.integer
+
+    Returns
+    -------
+    int
+
+    Raises
+    ------
+    TypeError: if the value isn't an int or can't be converted to one.
+    """
+    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
+
+
 def classes(*klasses):
     """ evaluate if the tipo is a subclass of the klasses """
     return lambda tipo: issubclass(tipo, klasses)

pandas/core/indexes/range.py

@@ -10,9 +10,10 @@
 from pandas.compat.numpy import function as nv
 from pandas.util._decorators import Appender, cache_readonly
 
-from pandas.core.dtypes import cast, concat as _concat
+from pandas.core.dtypes import concat as _concat
 from pandas.core.dtypes.common import (
-    is_int64_dtype, is_integer, is_scalar, is_timedelta64_dtype)
+    ensure_python_int, is_int64_dtype, is_integer, is_scalar,
+    is_timedelta64_dtype)
 from pandas.core.dtypes.generic import (
     ABCDataFrame, ABCSeries, ABCTimedeltaIndex)
 
@@ -318,7 +319,7 @@ def has_duplicates(self):
     def __contains__(self, key):
         hash(key)
         try:
-            key = cast.ensure_python_int(key)
+            key = ensure_python_int(key)
         except TypeError:
             return False
         return key in self._range
@@ -682,9 +683,7 @@ def __floordiv__(self, other):
         return self._int64index // other
 
     def all(self):
-        if 0 in self._range:
-            return False
-        return True
+        return 0 not in self._range
 
     def any(self):
         return any(self._range)