code: def argsort(
      x: Array,
      /,
      *,
      axis: int = -1,
      descending: bool = False,
      stable: bool = True,
  ) -> Array:
      """
      Array API compatible wrapper for :py:func:`np.argsort <numpy.argsort>`.
  
      See its docstring for more information.
      """
      # Note: Unlike in NumPy we only support kind={None, 'stable'}, but the standard
      # does *not* require we need to support unstable sort.
      kind = None
      if not descending:
          res = np.argsort(x._array, axis=axis, kind=kind)
      else:
          # As NumPy has no native descending sort, we imitate it here. Note that
          # simply flipping the results of np.argsort(x._array, ...) would not
          # respect the relative order like it would in native descending sorts.
          res = np.flip(
              np.argsort(
                  np.flip(x._array, axis=axis), axis=axis, kind=kind
              ),
              axis=axis,
          )
          # Rely on flip()/argsort() to validate axis
          normalised_axis = axis if axis >= 0 else x.ndim + axis
          max_i = x.shape[normalised_axis] - 1
          res = max_i - res
      return Array._new(res)
  
imports: from __future__ import annotations
  from ._array_object import Array
  import cupy
label_desc: Use image node_id 1 for calling a global function with example usage: argsort() and returns: Array