code: def reshape(a, newshape, order="C"):
      """Returns an array with new shape and same elements.
  
      It tries to return a view if possible, otherwise returns a copy.
  
      Args:
          a (cupy.ndarray): Array to be reshaped.
          newshape (int or tuple of ints): The new shape of the array to return.
              If it is an integer, then it is treated as a tuple of length one.
              It should be compatible with ``a.size``. One of the elements can be
              -1, which is automatically replaced with the appropriate value to
              make the shape compatible with ``a.size``.
          order ({'C', 'F', 'A'}):
              Read the elements of ``a`` using this index order, and place the
              elements into the reshaped array using this index order.
              'C' means to read / write the elements using C-like index order,
              with the last axis index changing fastest, back to the first axis
              index changing slowest. 'F' means to read / write the elements
              using Fortran-like index order, with the first index changing
              fastest, and the last index changing slowest. Note that the 'C'
              and 'F' options take no account of the memory layout of the
              underlying array, and only refer to the order of indexing. 'A'
              means to read / write the elements in Fortran-like index order if
              a is Fortran contiguous in memory, C-like order otherwise.
  
      Returns:
          cupy.ndarray: A reshaped view of ``a`` if possible, otherwise a copy.
  
      .. seealso:: :func:`numpy.reshape`
  
      """
      # TODO(okuta): check type
      return a.reshape(newshape, order=order)
  
imports: import numpy
  import cupy
label_desc: Use image node_id 2 for calling a global function with example usage: reshape(a, newshape, order) and returns: a