update

Author: topper-123

pandas/core/arrays/interval.py

@@ -46,10 +46,7 @@
 from pandas.errors import IntCastingNaNError
 from pandas.util._decorators import Appender
 
-from pandas.core.dtypes.cast import (
-    LossySetitemError,
-    maybe_upcast_numeric_to_64bit,
-)
+from pandas.core.dtypes.cast import LossySetitemError
 from pandas.core.dtypes.common import (
     is_categorical_dtype,
     is_dtype_equal,
@@ -1791,5 +1788,6 @@ def _maybe_convert_platform_interval(values) -> ArrayLike:
 
     if not hasattr(values, "dtype"):
         values = np.asarray(values)
-        values = maybe_upcast_numeric_to_64bit(values)
+        if is_integer_dtype(values) and values.dtype != np.int64:
+            values = values.astype(np.int64)
     return values

pandas/core/dtypes/cast.py

@@ -53,7 +53,6 @@
     ensure_int64,
     ensure_object,
     ensure_str,
-    is_array_like,
     is_bool,
     is_bool_dtype,
     is_complex,
@@ -427,9 +426,6 @@ def maybe_upcast_numeric_to_64bit(arr: NumpyIndexT) -> NumpyIndexT:
     -------
     ndarray or ExtensionArray
     """
-
-    if not is_array_like(arr):
-        return arr
     dtype = arr.dtype
     if not np.issubclass_(dtype.type, np.number):
         return arr