code: def can_hold_element(arr: ArrayLike, element: Any) -> bool:
      """
      Can we do an inplace setitem with this element in an array with this dtype?
  
      Parameters
      ----------
      arr : np.ndarray or ExtensionArray
      element : Any
  
      Returns
      -------
      bool
      """
      dtype = arr.dtype
      if not isinstance(dtype, np.dtype) or dtype.kind in ["m", "M"]:
          if isinstance(
              dtype,
              (PeriodDtype, IntervalDtype, DatetimeTZDtype, np.dtype),
          ):
              # np.dtype here catches datetime64ns and timedelta64ns; we assume
              #  in this case that we have DatetimeArray/TimedeltaArray
              arr = cast(
                  "PeriodArray | DatetimeArray | TimedeltaArray | IntervalArray",
                  arr,
              )
              try:
                  arr._validate_setitem_value(element)
                  return True
              except (ValueError, TypeError):
                  # TODO: re-use _catch_deprecated_value_error to ensure we are
                  #  strict about what exceptions we allow through here.
                  return False
  
          # This is technically incorrect, but maintains the behavior of
          # ExtensionBlock._can_hold_element
          return True
  
      try:
          np_can_hold_element(dtype, element)
          return True
      except (TypeError, LossySetitemError):
          return False
  
imports: from __future__ import annotations
  import datetime
  import functools
  from typing import TYPE_CHECKING, Any, Literal, Sized, TypeVar, cast, overload
  import warnings
  import numpy
  from pandas._libs import lib
  from pandas._libs.missing import NA, NAType, checknull
  from pandas._libs.tslibs import NaT, OutOfBoundsDatetime, OutOfBoundsTimedelta, Timedelta, Timestamp, get_unit_from_dtype, is_supported_unit
  from pandas._libs.tslibs.timedeltas import array_to_timedelta64
  from pandas._typing import ArrayLike, Dtype, DtypeObj, NumpyIndexT, Scalar, npt
  from pandas.errors import IntCastingNaNError, LossySetitemError
  from pandas.core.dtypes.common import ensure_int8, ensure_int16, ensure_int32, ensure_int64, ensure_object, ensure_str, is_bool, is_bool_dtype, is_complex, is_complex_dtype, is_datetime64_dtype, is_extension_array_dtype, is_float, is_float_dtype, is_integer, is_integer_dtype, is_numeric_dtype, is_object_dtype, is_scalar, is_signed_integer_dtype, is_string_dtype, is_timedelta64_dtype, is_unsigned_integer_dtype, pandas_dtype
  from pandas.core.dtypes.dtypes import BaseMaskedDtype, CategoricalDtype, DatetimeTZDtype, ExtensionDtype, IntervalDtype, PandasExtensionDtype, PeriodDtype
  from pandas.core.dtypes.generic import ABCExtensionArray, ABCIndex, ABCSeries
  from pandas.core.dtypes.inference import is_list_like
  from pandas.core.dtypes.missing import is_valid_na_for_dtype, isna, na_value_for_dtype, notna
  from pandas.io._util import _arrow_dtype_mapping
label_desc: Use image node_id 46 for calling a global function with example usage: can_hold_element(arr, element) and returns: True, True, False, True, False