code: def test_multi_input_lime_without_mask(self) -> None:
      net = BasicModel_MultiLayer_MultiInput()
      inp1 = torch.tensor([[23.0, 0.0, 0.0]])
      inp2 = torch.tensor([[20.0, 0.0, 50.0]])
      inp3 = torch.tensor([[0.0, 100.0, 10.0]])
      expected = (
          [[87, 0, 0]],
          [[75, 0, 195]],
          [[0, 395, 35]],
      )
      self._lime_test_assert(
          net,
          (inp1, inp2, inp3),
          expected,
          additional_input=(1,),
          n_samples=2000,
          expected_coefs_only=[[87, 0, 0, 75, 0, 195, 0, 395, 35]],
      )
  
imports: import io
  import unittest
  import unittest.mock
  from functools import partial
  from typing import Any, Callable, Generator, List, Optional, Tuple, Union
  import torch
  from captum._utils.models.linear_model import SGDLasso, SkLearnLasso
  from captum._utils.models.model import Model
  from captum._utils.typing import BaselineType, TensorOrTupleOfTensorsGeneric
  from captum.attr._core.lime import get_exp_kernel_similarity_function, Lime, LimeBase
  from captum.attr._utils.batching import _batch_example_iterator
  from captum.attr._utils.common import _construct_default_feature_mask, _format_input_baseline, _format_tensor_into_tuples
  from tests.helpers.basic import assertTensorAlmostEqual, assertTensorTuplesAlmostEqual, BaseTest
  from tests.helpers.basic_models import BasicLinearModel, BasicModel_MultiLayer, BasicModel_MultiLayer_MultiInput, BasicModelBoolInput
  from torch import Tensor
label_desc: Use image node_id 11 for calling the Test obj's underlying member method code with example usage: obj.test_multi_input_lime_without_mask() without return types