code: def test_memory_contraints(self):
      # Ensure memory constraints are satisfied
  
      outer_test = self.build_operands("a,b,c->abc")
  
      path, path_str = np.einsum_path(
          *outer_test, optimize=("greedy", 0)
      )
      self.assert_path_equal(path, ["einsum_path", (0, 1, 2)])
  
      path, path_str = np.einsum_path(
          *outer_test, optimize=("optimal", 0)
      )
      self.assert_path_equal(path, ["einsum_path", (0, 1, 2)])
  
      long_test = self.build_operands("acdf,jbje,gihb,hfac")
      path, path_str = np.einsum_path(
          *long_test, optimize=("greedy", 0)
      )
      self.assert_path_equal(path, ["einsum_path", (0, 1, 2, 3)])
  
      path, path_str = np.einsum_path(
          *long_test, optimize=("optimal", 0)
      )
      self.assert_path_equal(path, ["einsum_path", (0, 1, 2, 3)])
  
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 3 for calling the TestEinsumPath obj's underlying member method code with example usage: obj.test_memory_contraints() without return types