code: def test_model_analysis_no_model(self, manager_type):
      (
          X_train,
          y_train,
          X_test,
          y_test,
          classes,
      ) = create_binary_classification_dataset()
  
      X_train[LABELS] = y_train
      X_test[LABELS] = y_test
      model = None
      manager_args = {ManagerParams.TREATMENT_FEATURES: ["col0"]}
  
      run_model_analysis(
          model,
          X_train,
          X_test,
          LABELS,
          None,
          manager_type,
          manager_args,
          classes=classes,
      )
  
imports: import os
  from pathlib import Path
  from tempfile import TemporaryDirectory
  import numpy
  import pandas
  import pytest
  from tests.causal_manager_validator import validate_causal
  from tests.common_utils import create_iris_data
  from tests.counterfactual_manager_validator import validate_counterfactual
  from tests.error_analysis_validator import setup_error_analysis, validate_error_analysis
  from tests.explainer_manager_validator import setup_explainer, validate_explainer
  from rai_test_utils.datasets.tabular import create_binary_classification_dataset, create_cancer_data, create_housing_data
  from rai_test_utils.models.model_utils import create_models_classification, create_models_regression
  from rai_test_utils.models.sklearn import create_complex_classification_pipeline
  from rai_test_utils.utilities import is_valid_uuid
  from raiutils.models import ModelTask
  from responsibleai import ModelAnalysis
  from responsibleai._internal.constants import ManagerNames
  from responsibleai._tools.shared.state_directory_management import DirectoryManager
label_desc: Use image node_id 5 for calling the TestModelAnalysis obj's underlying member method code with example usage: obj.test_model_analysis_no_model(manager_type) without return types