docstr: Test the causal LM base model with `past_key_values` and `attention_mask`
docstr_tok: ["Test","the","causal","LM","base","model","with","`","past_key_values","`","and","`","attention_mask","`"]
code: def test_causal_lm_base_model_past_with_attn_mask(self):
      """Test the causal LM base model with `past_key_values` and `attention_mask`"""
      config_and_inputs = self.model_tester.prepare_config_and_inputs()
      self.model_tester.create_and_check_causal_lm_base_model_past_with_attn_mask(
          *config_and_inputs
      )
  
imports: from __future__ import annotations
  import unittest
  from transformers import ElectraConfig, is_tf_available
  from transformers.testing_utils import require_tf, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, floats_tensor, ids_tensor, random_attention_mask
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 7 for calling the TFElectraModelTest obj's underlying member method code with example usage: obj.test_causal_lm_base_model_past_with_attn_mask() without return types