code: def _mlflow_additional_pip_env(pip_deps, path=None):
      requirements = "\n".join(pip_deps)
      if path is not None:
          with open(path, "w") as out:
              out.write(requirements)
          return None
      else:
          return 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 3 for calling a global function with example usage: _mlflow_additional_pip_env(pip_deps, path) and returns: None, requirements