code: def main():
      ml_packages = {
          "catboost",
          "fastai",
          "h2o",
          "lightgbm",
          "mleap",
          "onnx",
          "pytorch_lightning",
          "pyspark",
          "pyspark.ml",
          "shap",
          "sklearn",
          "spacy",
          "statsmodels",
          "tensorflow",
          "torch",
          "xgboost",
          "pmdarima",
          "diviner",
          "transformers",
          "sentence_transformers",
      }
      imported = ml_packages.intersection(set(sys.modules))
      assert (
          imported == set()
      ), f"mlflow imports {imported} when it's imported but it should not"
  
      mlflow.autolog()
      imported = ml_packages.intersection(set(sys.modules))
      assert (
          imported == set()
      ), f"`mlflow.autolog` imports {imported} but it should not"
  
      # Ensure that the ML packages are importable
      failed_to_import = []
      for package in sorted(ml_packages):
          try:
              importlib.import_module(package)
          except ImportError:
              logger.exception(f"Failed to import {package}")
              failed_to_import.append(package)
  
      message = f"Failed to import {failed_to_import}. Please install packages that provide these modules."
      assert failed_to_import == [], message
  
imports: import importlib
  import logging
  import sys
  import mlflow
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types