code: def get_min_max_version_and_pip_release(module_key):
      min_version = _ML_PACKAGE_VERSIONS[module_key]["autologging"][
          "minimum"
      ]
      max_version = _ML_PACKAGE_VERSIONS[module_key]["autologging"][
          "maximum"
      ]
      pip_release = _ML_PACKAGE_VERSIONS[module_key]["package_info"][
          "pip_release"
      ]
      return min_version, max_version, pip_release
  
file_path: mlflow/mlflow/utils/autologging_utils/versioning.py
imports: import importlib
  import re
  from packaging.version import InvalidVersion, Version
  from mlflow.ml_package_versions import _ML_PACKAGE_VERSIONS
  from mlflow.utils.databricks_utils import is_in_databricks_runtime
label_desc: Use image node_id 6 for calling a global function with example usage: get_min_max_version_and_pip_release(module_key) and returns: min_version,  max_version,  pip_release