code: def needs_i8_conversion(arr_or_dtype) -> bool:
      """
      Check whether the array or dtype should be converted to int64.
  
      An array-like or dtype "needs" such a conversion if the array-like
      or dtype is of a datetime-like dtype
  
      Parameters
      ----------
      arr_or_dtype : array-like or dtype
          The array or dtype to check.
  
      Returns
      -------
      boolean
          Whether or not the array or dtype should be converted to int64.
  
      Examples
      --------
      >>> needs_i8_conversion(str)
      False
      >>> needs_i8_conversion(np.int64)
      False
      >>> needs_i8_conversion(np.datetime64)
      True
      >>> needs_i8_conversion(np.array(['a', 'b']))
      False
      >>> needs_i8_conversion(pd.Series([1, 2]))
      False
      >>> needs_i8_conversion(pd.Series([], dtype="timedelta64[ns]"))
      True
      >>> needs_i8_conversion(pd.DatetimeIndex([1, 2, 3], tz="US/Eastern"))
      True
      """
      if arr_or_dtype is None:
          return False
      if isinstance(arr_or_dtype, np.dtype):
          return arr_or_dtype.kind in ["m", "M"]
      elif isinstance(arr_or_dtype, ExtensionDtype):
          return isinstance(
              arr_or_dtype, (PeriodDtype, DatetimeTZDtype)
          )
  
      try:
          dtype = get_dtype(arr_or_dtype)
      except (TypeError, ValueError):
          return False
      if isinstance(dtype, np.dtype):
          return dtype.kind in ["m", "M"]
      return isinstance(dtype, (PeriodDtype, DatetimeTZDtype))
  
imports: from __future__ import annotations
  from typing import Any, Callable
  import warnings
  import numpy
  from pandas._libs import Interval, Period, algos, lib
  from pandas._libs.tslibs import conversion
  from pandas._typing import ArrayLike, DtypeObj
  from pandas.core.dtypes.base import _registry
  from pandas.core.dtypes.dtypes import CategoricalDtype, DatetimeTZDtype, ExtensionDtype, IntervalDtype, PeriodDtype
  from pandas.core.dtypes.generic import ABCIndex
  from pandas.core.dtypes.inference import is_array_like, is_bool, is_complex, is_dataclass, is_decimal, is_dict_like, is_file_like, is_float, is_hashable, is_integer, is_interval, is_iterator, is_list_like, is_named_tuple, is_nested_list_like, is_number, is_re, is_re_compilable, is_scalar, is_sequence
label_desc: Use image node_id 28 for calling a global function with example usage: needs_i8_conversion(arr_or_dtype) and returns: isinstance, False, unknown, unknown, isinstance, False