code: def test_explainer_sequence_feature(
      explainer_class, model_type, encoder_type, tmpdir
  ):
      input_features = [sequence_feature()]
      input_features[0]["encoder"] = {"type": encoder_type}
      output_features = [binary_feature()]
      run_test_explainer_api(
          explainer_class,
          model_type,
          output_features,
          {},
          tmpdir,
          input_features=input_features,
      )
  
imports: import logging
  import os
  import numpy
  import pandas
  import pytest
  from ludwig.api import LudwigModel
  from ludwig.constants import BATCH_SIZE, BINARY, CATEGORY, MINIMUM_BATCH_SIZE, MODEL_ECD, MODEL_GBM, TYPE
  from ludwig.explain.captum import IntegratedGradientsExplainer
  from ludwig.explain.explainer import Explainer
  from ludwig.explain.explanation import Explanation
  from ludwig.explain.gbm import GBMExplainer
  from tests.integration_tests.utils import binary_feature, category_feature, date_feature, generate_data, image_feature, LocalTestBackend, number_feature, sequence_feature, set_feature, text_feature, timeseries_feature, vector_feature
label_desc: Use image node_id 11 for calling a global function with example usage: test_explainer_sequence_feature(explainer_class, model_type, encoder_type, tmpdir) without return types