old_contents: from __future__ import annotations
  
  from ._types import Optional, Tuple, Union, array
  
  import numpy as np
  
  def concat(arrays: Tuple[array], /, *, axis: Optional[int] = 0) -> array:
      """
      Array API compatible wrapper for :py:func:`np.concatenate <numpy.concatenate>`.
  
      See its docstring for more information.
      """
      # Note: the function name is different here
      return np.concatenate(arrays, axis=axis)
  
  def expand_dims(x: array, axis: int, /) -> array:
      """
      Array API compatible wrapper for :py:func:`np.expand_dims <numpy.expand_dims>`.
  
      See its docstring for more information.
      """
      return np.expand_dims._implementation(x, axis)
  
  def flip(x: array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None) -> array:
      """
      Array API compatible wrapper for :py:func:`np.flip <numpy.flip>`.
  
      See its docstring for more information.
      """
      return np.flip._implementation(x, axis=axis)
  
  def reshape(x: array, shape: Tuple[int, ...], /) -> array:
      """
      Array API compatible wrapper for :py:func:`np.reshape <numpy.reshape>`.
  
      See its docstring for more information.
      """
      return np.reshape._implementation(x, shape)
  
  def roll(x: array, shift: Union[int, Tuple[int, ...]], /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None) -> array:
      """
      Array API compatible wrapper for :py:func:`np.roll <numpy.roll>`.
  
      See its docstring for more information.
      """
      return np.roll._implementation(x, shift, axis=axis)
  
  def squeeze(x: array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None) -> array:
      """
      Array API compatible wrapper for :py:func:`np.squeeze <numpy.squeeze>`.
  
      See its docstring for more information.
      """
      return np.squeeze._implementation(x, axis=axis)
  
  def stack(arrays: Tuple[array], /, *, axis: int = 0) -> array:
      """
      Array API compatible wrapper for :py:func:`np.stack <numpy.stack>`.
  
      See its docstring for more information.
      """
      return np.stack._implementation(arrays, axis=axis)
  
new_contents: from __future__ import annotations
  
  from ._types import Optional, Tuple, Union, array
  from ._array_object import ndarray
  
  import numpy as np
  
  def concat(arrays: Tuple[array], /, *, axis: Optional[int] = 0) -> array:
      """
      Array API compatible wrapper for :py:func:`np.concatenate <numpy.concatenate>`.
  
      See its docstring for more information.
      """
      arrays = tuple(a._array for a in arrays)
      # Note: the function name is different here
      return ndarray._new(np.concatenate(arrays, axis=axis))
  
  def expand_dims(x: array, axis: int, /) -> array:
      """
      Array API compatible wrapper for :py:func:`np.expand_dims <numpy.expand_dims>`.
  
      See its docstring for more information.
      """
      return ndarray._new(np.expand_dims._implementation(x._array, axis))
  
  def flip(x: array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None) -> array:
      """
      Array API compatible wrapper for :py:func:`np.flip <numpy.flip>`.
  
      See its docstring for more information.
      """
      return ndarray._new(np.flip._implementation(x._array, axis=axis))
  
  def reshape(x: array, shape: Tuple[int, ...], /) -> array:
      """
      Array API compatible wrapper for :py:func:`np.reshape <numpy.reshape>`.
  
      See its docstring for more information.
      """
      return ndarray._new(np.reshape._implementation(x._array, shape))
  
  def roll(x: array, shift: Union[int, Tuple[int, ...]], /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None) -> array:
      """
      Array API compatible wrapper for :py:func:`np.roll <numpy.roll>`.
  
      See its docstring for more information.
      """
      return ndarray._new(np.roll._implementation(x._array, shift, axis=axis))
  
  def squeeze(x: array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None) -> array:
      """
      Array API compatible wrapper for :py:func:`np.squeeze <numpy.squeeze>`.
  
      See its docstring for more information.
      """
      return ndarray._array(np.squeeze._implementation(x._array, axis=axis))
  
  def stack(arrays: Tuple[array], /, *, axis: int = 0) -> array:
      """
      Array API compatible wrapper for :py:func:`np.stack <numpy.stack>`.
  
      See its docstring for more information.
      """
      arrays = tuple(a._array for a in arrays)
      return ndarray._array(np.stack._implementation(arrays, axis=axis))
  
subject: Make the array API manipulation functions use the array API ndarray object