code: def take(
      arr,
      indices: TakeIndexer,
      axis: AxisInt = 0,
      allow_fill: bool = False,
      fill_value=None,
  ):
      """
      Take elements from an array.
  
      Parameters
      ----------
      arr : array-like or scalar value
          Non array-likes (sequences/scalars without a dtype) are coerced
          to an ndarray.
  
          .. deprecated:: 2.1.0
              Passing an argument other than a numpy.ndarray, ExtensionArray,
              Index, or Series is deprecated.
  
      indices : sequence of int or one-dimensional np.ndarray of int
          Indices to be taken.
      axis : int, default 0
          The axis over which to select values.
      allow_fill : bool, default False
          How to handle negative values in `indices`.
  
          * False: negative values in `indices` indicate positional indices
            from the right (the default). This is similar to :func:`numpy.take`.
  
          * True: negative values in `indices` indicate
            missing values. These values are set to `fill_value`. Any other
            negative values raise a ``ValueError``.
  
      fill_value : any, optional
          Fill value to use for NA-indices when `allow_fill` is True.
          This may be ``None``, in which case the default NA value for
          the type (``self.dtype.na_value``) is used.
  
          For multi-dimensional `arr`, each *element* is filled with
          `fill_value`.
  
      Returns
      -------
      ndarray or ExtensionArray
          Same type as the input.
  
      Raises
      ------
      IndexError
          When `indices` is out of bounds for the array.
      ValueError
          When the indexer contains negative values other than ``-1``
          and `allow_fill` is True.
  
      Notes
      -----
      When `allow_fill` is False, `indices` may be whatever dimensionality
      is accepted by NumPy for `arr`.
  
      When `allow_fill` is True, `indices` should be 1-D.
  
      See Also
      --------
      numpy.take : Take elements from an array along an axis.
  
      Examples
      --------
      >>> import pandas as pd
  
      With the default ``allow_fill=False``, negative numbers indicate
      positional indices from the right.
  
      >>> pd.api.extensions.take(np.array([10, 20, 30]), [0, 0, -1])
      array([10, 10, 30])
  
      Setting ``allow_fill=True`` will place `fill_value` in those positions.
  
      >>> pd.api.extensions.take(np.array([10, 20, 30]), [0, 0, -1], allow_fill=True)
      array([10., 10., nan])
  
      >>> pd.api.extensions.take(np.array([10, 20, 30]), [0, 0, -1], allow_fill=True,
      ...      fill_value=-10)
      array([ 10,  10, -10])
      """
      if not isinstance(
          arr, (np.ndarray, ABCExtensionArray, ABCIndex, ABCSeries)
      ):
          # GH#52981
          warnings.warn(
              "pd.api.extensions.take accepting non-standard inputs is deprecated "
              "and will raise in a future version. Pass either a numpy.ndarray, "
              "ExtensionArray, Index, or Series instead.",
              FutureWarning,
              stacklevel=find_stack_level(),
          )
  
      if not is_array_like(arr):
          arr = np.asarray(arr)
  
      indices = ensure_platform_int(indices)
  
      if allow_fill:
          # Pandas style, -1 means NA
          validate_indices(indices, arr.shape[axis])
          result = take_nd(
              arr,
              indices,
              axis=axis,
              allow_fill=True,
              fill_value=fill_value,
          )
      else:
          # NumPy style
          result = arr.take(indices, axis=axis)
      return result
  
imports: from __future__ import annotations
  import decimal
  import operator
  from textwrap import dedent
  from typing import TYPE_CHECKING, Literal, cast
  import warnings
  import numpy
  from pandas._libs import algos, hashtable, iNaT, lib
  from pandas._typing import AnyArrayLike, ArrayLike, ArrayLikeT, AxisInt, DtypeObj, TakeIndexer, npt
  from pandas.util._decorators import doc
  from pandas.util._exceptions import find_stack_level
  from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike, np_find_common_type
  from pandas.core.dtypes.common import ensure_float64, ensure_object, ensure_platform_int, is_array_like, is_bool_dtype, is_complex_dtype, is_dict_like, is_extension_array_dtype, is_float, is_float_dtype, is_integer, is_integer_dtype, is_list_like, is_object_dtype, is_signed_integer_dtype, needs_i8_conversion
  from pandas.core.dtypes.concat import concat_compat
  from pandas.core.dtypes.dtypes import BaseMaskedDtype, CategoricalDtype, ExtensionDtype, NumpyEADtype
  from pandas.core.dtypes.generic import ABCDatetimeArray, ABCExtensionArray, ABCIndex, ABCMultiIndex, ABCSeries, ABCTimedeltaArray
  from pandas.core.dtypes.missing import isna, na_value_for_dtype
  from pandas.core.array_algos.take import take_nd
  from pandas.core.construction import array, ensure_wrapped_if_datetimelike, extract_array
  from pandas.core.indexers import validate_indices
label_desc: Use image node_id 18 for calling a global function with example usage: take(arr, indices, axis, allow_fill, fill_value) and returns: result