code: def unravel_index(indices, shape=None, order=None):
      """
      unravel_index(indices, shape, order='C')
  
      Converts a flat index or array of flat indices into a tuple
      of coordinate arrays.
  
      Parameters
      ----------
      indices : array_like
          An integer array whose elements are indices into the flattened
          version of an array of dimensions ``shape``. Before version 1.6.0,
          this function accepted just one index value.
      shape : tuple of ints
          The shape of the array to use for unraveling ``indices``.
  
          .. versionchanged:: 1.16.0
              Renamed from ``dims`` to ``shape``.
  
      order : {'C', 'F'}, optional
          Determines whether the indices should be viewed as indexing in
          row-major (C-style) or column-major (Fortran-style) order.
  
          .. versionadded:: 1.6.0
  
      Returns
      -------
      unraveled_coords : tuple of ndarray
          Each array in the tuple has the same shape as the ``indices``
          array.
  
      See Also
      --------
      ravel_multi_index
  
      Examples
      --------
      >>> np.unravel_index([22, 41, 37], (7,6))
      (array([3, 6, 6]), array([4, 5, 1]))
      >>> np.unravel_index([31, 41, 13], (7,6), order='F')
      (array([3, 6, 6]), array([4, 5, 1]))
  
      >>> np.unravel_index(1621, (6,7,8,9))
      (3, 1, 4, 1)
  
      """
      return (indices,)
  
imports: import functools
  from .None import overrides
  from .None import _multiarray_umath
  from ._multiarray_umath import *
  from ._multiarray_umath import fastCopyAndTranspose, _flagdict, from_dlpack, _place, _reconstruct, _vec_string, _ARRAY_API, _monotonicity, _get_ndarray_c_version, _get_madvise_hugepage, _set_madvise_hugepage, _get_promotion_state, _set_promotion_state, _using_numpy2_behavior
label_desc: Use image node_id 13 for calling a global function with example usage: unravel_index(indices, shape, order) and returns: indices