code: def _log_pip_requirements(
      conda_env, path, requirements_file=_REQUIREMENTS_FILE_NAME
  ):
      pip_deps = _get_pip_deps(conda_env)
      _mlflow_additional_pip_env(
          pip_deps, path=os.path.join(path, requirements_file)
      )
  
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 7 for calling a global function with example usage: _log_pip_requirements(conda_env, path, requirements_file) without return types