code: def reshape(operand, new_sizes, dimensions=None):
      if dimensions is None:
          dimensions = range(len(np.shape(operand)))
      return np.reshape(np.transpose(operand, dimensions), new_sizes)
  
imports: import builtins
  import collections
  import itertools
  import numpy
  import opt_einsum
  import scipy.special
  from jax._src import dtypes
  from jax._src import util
label_desc: Use image node_id 27 for calling a global function with example usage: reshape(operand, new_sizes, dimensions) and returns: np