code: def _contains_mlflow_requirement(requirements):
      """
      Returns True if `requirements` contains a requirement for mlflow (e.g. 'mlflow==1.2.3').
      """
      return any(map(_is_mlflow_requirement, requirements))
  
imports: import logging
  import os
  import re
  import subprocess
  import sys
  import tempfile
  import yaml
  from packaging.requirements import InvalidRequirement, Requirement
  from packaging.version import Version
  from mlflow.environment_variables import _MLFLOW_TESTING
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
  from mlflow.utils import PYTHON_VERSION, insecure_hash
  from mlflow.utils.process import _exec_cmd
  from mlflow.utils.requirements_utils import _infer_requirements, _parse_requirements
  from mlflow.version import VERSION
label_desc: Use image node_id 14 for calling a global function with example usage: _contains_mlflow_requirement(requirements) and returns: any