code: def concatenate(
      tup, axis=0, out=None, *, dtype=None, casting="same_kind"
  ):
      """Joins arrays along an axis.
  
      Args:
          tup (sequence of arrays): Arrays to be joined. All of these should have
              same dimensionalities except the specified axis.
          axis (int or None): The axis to join arrays along.
              If axis is None, arrays are flattened before use.
              Default is 0.
          out (cupy.ndarray): Output array.
          dtype (str or dtype): If provided, the destination array will have this
              dtype. Cannot be provided together with ``out``.
          casting ({‘no’, ‘equiv’, ‘safe’, ‘same_kind’, ‘unsafe’}, optional):
              Controls what kind of data casting may occur. Defaults to
              ``'same_kind'``.
  
      Returns:
          cupy.ndarray: Joined array.
  
      .. seealso:: :func:`numpy.concatenate`
  
      """
      if axis is None:
          tup = [m.ravel() for m in tup]
          axis = 0
      return _core.concatenate_method(tup, axis, out, dtype, casting)
  
imports: import cupy
  from cupy import _core
label_desc: Use image node_id 2 for calling a global function with example usage: concatenate(tup, axis, out) and returns: _core