code: def random_shape(size):
      """
      Output random dimensions in the range (2, MAX_TEST_SIZE)
      """
      aux = np.random.randint(MAX_TEST_SIZE - 1, size=size) + 2
      if size == 1:
          return aux
      else:
          return tuple(aux)
  
imports: import numpy
  from numpy.testing import assert_almost_equal, assert_array_equal
  from ..None import c_types, copy_vector, copy_via_iterators, fff_type, npy_type, pass_array, pass_matrix, pass_vector, pass_vector_via_iterator, sum_via_iterators
label_desc: Use image node_id 1 for calling a global function with example usage: random_shape(size) and returns: aux, tuple