code: def ravel_multi_index(multi_index, dims, mode=None, order=None):
      """
      ravel_multi_index(multi_index, dims, mode='raise', order='C')
  
      Converts a tuple of index arrays into an array of flat
      indices, applying boundary modes to the multi-index.
  
      Parameters
      ----------
      multi_index : tuple of array_like
          A tuple of integer arrays, one array for each dimension.
      dims : tuple of ints
          The shape of array into which the indices from ``multi_index`` apply.
      mode : {'raise', 'wrap', 'clip'}, optional
          Specifies how out-of-bounds indices are handled.  Can specify
          either one mode or a tuple of modes, one mode per index.
  
          * 'raise' -- raise an error (default)
          * 'wrap' -- wrap around
          * 'clip' -- clip to the range
  
          In 'clip' mode, a negative index which would normally
          wrap will clip to 0 instead.
      order : {'C', 'F'}, optional
          Determines whether the multi-index should be viewed as
          indexing in row-major (C-style) or column-major
          (Fortran-style) order.
  
      Returns
      -------
      raveled_indices : ndarray
          An array of indices into the flattened version of an array
          of dimensions ``dims``.
  
      See Also
      --------
      unravel_index
  
      Notes
      -----
      .. versionadded:: 1.6.0
  
      Examples
      --------
      >>> arr = np.array([[3,6,6],[4,5,1]])
      >>> np.ravel_multi_index(arr, (7,6))
      array([22, 41, 37])
      >>> np.ravel_multi_index(arr, (7,6), order='F')
      array([31, 41, 13])
      >>> np.ravel_multi_index(arr, (4,6), mode='clip')
      array([22, 23, 19])
      >>> np.ravel_multi_index(arr, (4,4), mode=('clip','wrap'))
      array([12, 13, 13])
  
      >>> np.ravel_multi_index((3,1,4,1), (6,7,8,9))
      1621
      """
      return multi_index
  
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 12 for calling a global function with example usage: ravel_multi_index(multi_index, dims, mode, order) and returns: multi_index