code: def _np_repeat(a, repeats, axis=None):
      """
      Repeat elements of an array.
  
      Parameters
      ----------
      a : ndarray
          Input array.
      repeats : int
          The number of repetitions for each element.
      axis : int, optional
          The axis along which to repeat values.  By default, use the
          flattened input array, and return a flat output array.
  
      Returns
      -------
      repeated_array : ndarray
          Output array which has the same shape as `a`, except along
          the given axis.
  
      Notes
      -----
      Unlike the official NumPy ``repeat`` operator, this operator currently
      does not support array of ints for the parameter `repeats`.
  
      Examples
      --------
      >>> x = np.arange(4).reshape(2, 2)
      >>> x
      array([[0., 1.],
             [2., 3.]])
      >>> np.repeat(x, repeats=3)
      array([0., 0., 0., 1., 1., 1., 2., 2., 2., 3., 3., 3.])
      >>> np.repeat(x, repeats=3, axis=0)
      array([[0., 1.],
             [0., 1.],
             [0., 1.],
             [2., 3.],
             [2., 3.],
             [2., 3.]])
      >>> np.repeat(x, repeats=3, axis=1)
      array([[0., 0., 0., 1., 1., 1.],
             [2., 2., 2., 3., 3., 3.]])
      """
      pass
  
file_path: mxnet/python/mxnet/_numpy_op_doc.py
label_desc: Use image node_id 3 for calling a global function with example usage: _np_repeat(a, repeats, axis) without return types