code: def build_operands(self, string, size_dict=global_size_dict):
      # Builds views based off initial operands
      operands = [string]
      terms = string.split("->")[0].split(",")
      for term in terms:
          dims = [size_dict[x] for x in term]
          operands.append(np.random.rand(*dims))
  
      return operands
  
imports: import functools
  import itertools
  from unittest import expectedFailure, skipIf, SkipTest
  import torch._numpy
  from pytest import raises
  from torch._numpy.testing import assert_, assert_allclose, assert_almost_equal, assert_array_equal, assert_equal, suppress_warnings
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, TestCase
label_desc: Use image node_id 1 for calling the TestEinsumPath obj's underlying member method code with example usage: obj.build_operands(string, size_dict) and returns: operands