code: def construct_2d_arraylike_from_scalar(
      value: Scalar,
      length: int,
      width: int,
      dtype: np.dtype,
      copy: bool,
  ) -> np.ndarray:
      shape = (length, width)
  
      if dtype.kind in ["m", "M"]:
          value = _maybe_box_and_unbox_datetimelike(value, dtype)
      elif dtype == _dtype_obj:
          if isinstance(value, (np.timedelta64, np.datetime64)):
              # calling np.array below would cast to pytimedelta/pydatetime
              out = np.empty(shape, dtype=object)
              out.fill(value)
              return out
  
      # Attempt to coerce to a numpy array
      try:
          arr = np.array(value, dtype=dtype, copy=copy)
      except (ValueError, TypeError) as err:
          raise TypeError(
              f"DataFrame constructor called with incompatible data and dtype: {err}"
          ) from err
  
      if arr.ndim != 0:
          raise ValueError("DataFrame constructor not properly called!")
  
      return np.full(shape, arr)
  
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 41 for calling a global function with example usage: construct_2d_arraylike_from_scalar(value, length, width, dtype, copy) and returns: np, out