code: def test_analysis_config_for_bias_no_model_config(data_bias_config):
      s3_data_input_path = "s3://path/to/input.csv"
      s3_output_path = "s3://path/to/output"
      predicted_labels_uri = "s3://path/to/predicted_labels.csv"
      label_name = "Label"
      headers = [
          "Label",
          "F1",
          "F2",
          "F3",
          "F4",
      ]
      dataset_type = "text/csv"
      data_config = DataConfig(
          s3_data_input_path=s3_data_input_path,
          s3_output_path=s3_output_path,
          label=label_name,
          headers=headers,
          dataset_type=dataset_type,
          predicted_label_dataset_uri=predicted_labels_uri,
          predicted_label_headers=["PredictedLabel"],
          predicted_label="PredictedLabel",
      )
      model_config = None
      model_predicted_label_config = ModelPredictedLabelConfig(
          probability="pr",
          probability_threshold=0.8,
          label_headers=["success"],
      )
      actual = _AnalysisConfigGenerator.bias(
          data_config,
          data_bias_config,
          model_config,
          model_predicted_label_config,
          pre_training_methods="all",
          post_training_methods="all",
      )
      expected = {
          "dataset_type": "text/csv",
          "headers": ["Label", "F1", "F2", "F3", "F4"],
          "label": "Label",
          "predicted_label_dataset_uri": "s3://path/to/predicted_labels.csv",
          "predicted_label_headers": ["PredictedLabel"],
          "predicted_label": "PredictedLabel",
          "label_values_or_threshold": [1],
          "facet": [{"name_or_index": "F1"}],
          "group_variable": "F2",
          "methods": {
              "report": {"name": "report", "title": "Analysis Report"},
              "pre_training_bias": {"methods": "all"},
              "post_training_bias": {"methods": "all"},
          },
          "probability_threshold": 0.8,
      }
      assert actual == expected
  
imports: from __future__ import absolute_import, print_function
  import copy
  import pytest
  from mock import MagicMock, Mock, patch
  from sagemaker import Processor, image_uris
  from sagemaker.clarify import BiasConfig, DataConfig, ModelConfig, ModelPredictedLabelConfig, PDPConfig, SageMakerClarifyProcessor, SHAPConfig, TextConfig, ImageConfig, _AnalysisConfigGenerator, DatasetType, ProcessingOutputHandler, SegmentationConfig
label_desc: Use image node_id 55 for calling a global function with example usage: test_analysis_config_for_bias_no_model_config(data_bias_config) without return types