code: def _np_copy(a, out=None):
      """
      Return an array copy of the given object.
  
      Parameters
      ----------
      a : ndarray
          Input data.
      out : ndarray or None, optional
          Alternative output array in which to place the result. It must have
          the same shape and dtype as the expected output.
  
      Returns
      -------
      arr : ndarray
          Array interpretation of `a`.
  
      Notes
      -------
      This function differs from the original `numpy.copy
      <https://docs.scipy.org/doc/numpy/reference/generated/numpy.copy.html>`_ in
      the following aspects:
  
      - Input type does not support Python native iterables(list, tuple, ...).
      - ``out`` param: cannot perform auto broadcasting. ``out`` ndarray's shape must be the same as the expected output.
      - ``out`` param: cannot perform auto type cast. ``out`` ndarray's dtype must be the same as the expected output.
      - Does not support "order" parameter.
  
      Examples
      --------
      Create an array x, with a reference y and a copy z:
  
      >>> x = np.array([1, 2, 3])
      >>> y = x
      >>> z = np.copy(x)
  
      Note that, when ``x`` is modified, ``y`` is also modified, but not ``z``:
  
      >>> x[0] = 10
      >>> x[0] == y[0]
      array([1.])
      >>> x[0] == z[0]
      array([0.])
      """
      pass
  
file_path: mxnet/python/mxnet/_numpy_op_doc.py
label_desc: Use image node_id 5 for calling a global function with example usage: _np_copy(a, out) without return types