code: def append(arr, values, axis=None):
      """
      Append values to the end of an array.
  
      Parameters
      ----------
      arr : array_like
          Values are appended to a copy of this array.
      values : array_like
          These values are appended to a copy of `arr`.  It must be of the
          correct shape (the same shape as `arr`, excluding `axis`).  If
          `axis` is not specified, `values` can be any shape and will be
          flattened before use.
      axis : int, optional
          The axis along which `values` are appended.  If `axis` is not
          given, both `arr` and `values` are flattened before use.
  
      Returns
      -------
      append : Tensor
          A copy of `arr` with `values` appended to `axis`.  Note that
          `append` does not occur in-place: a new array is allocated and
          filled.  If `axis` is None, `out` is a flattened array.
  
      See Also
      --------
      insert : Insert elements into an array.
      delete : Delete elements from an array.
  
      Examples
      --------
      >>> import mars.tensor as mt
  
      >>> mt.append([1, 2, 3], [[4, 5, 6], [7, 8, 9]]).execute()
      array([1, 2, 3, ..., 7, 8, 9])
  
      When `axis` is specified, `values` must have the correct shape.
  
      >>> mt.append([[1, 2, 3], [4, 5, 6]], [[7, 8, 9]], axis=0).execute()
      array([[1, 2, 3],
             [4, 5, 6],
             [7, 8, 9]])
      >>> mt.append([[1, 2, 3], [4, 5, 6]], [7, 8, 9], axis=0)
      Traceback (most recent call last):
          ...
      ValueError: all the input tensors must have same number of dimensions
  
      """
      arr = asarray(arr)
      if axis is None:
          if arr.ndim != 1:
              arr = arr.ravel()
          values = ravel(values)
          axis = arr.ndim - 1
      return concatenate((arr, values), axis=axis)
  
imports: from ..base.ravel import ravel
  from ..datasource.array import asarray
  from .concatenate import concatenate
label_desc: Use image node_id 1 for calling a global function with example usage: append(arr, values, axis) and returns: concatenate