code: def test_bcstg_num_mask_not_equal_dim_error(self) -> None:
      dim = 3
      mask = torch.tensor(
          [0, 0, 1]
      )  # only two distinct masks, but given dim is 3
  
      with self.assertRaises(AssertionError):
          BinaryConcreteStochasticGates(dim, mask=mask).to(
              self.testing_device
          )
  
imports: import unittest
  import torch
  from captum.module.binary_concrete_stochastic_gates import BinaryConcreteStochasticGates
  from parameterized import parameterized_class
  from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
label_desc: Use image node_id 5 for calling the TestBinaryConcreteStochasticGates obj's underlying member method code with example usage: obj.test_bcstg_num_mask_not_equal_dim_error() without return types