code: def _get_virtualenv_name(python_env, work_dir_path, env_id=None):
      requirements = _parse_requirements(
          python_env.dependencies,
          is_constraint=False,
          base_dir=work_dir_path,
      )
      return _get_mlflow_env_name(
          str(python_env)
          + "".join(map(str, sorted(requirements)))
          + (env_id or "")
      )
  
imports: import logging
  import os
  import re
  import shutil
  import sys
  import tempfile
  import uuid
  from pathlib import Path
  from packaging.version import Version
  import mlflow
  from mlflow.environment_variables import MLFLOW_ENV_ROOT
  from mlflow.exceptions import MlflowException
  from mlflow.models.model import MLMODEL_FILE_NAME, Model
  from mlflow.utils.conda import _PIP_CACHE_DIR
  from mlflow.utils.databricks_utils import is_in_databricks_runtime
  from mlflow.utils.environment import _CONDA_ENV_FILE_NAME, _PYTHON_ENV_FILE_NAME, _REQUIREMENTS_FILE_NAME, _get_mlflow_env_name, _get_pip_install_mlflow, _PythonEnv
  from mlflow.utils.file_utils import remove_on_error
  from mlflow.utils.process import _IS_UNIX, _exec_cmd, _join_commands
  from mlflow.utils.requirements_utils import _parse_requirements
label_desc: Use image node_id 12 for calling a global function with example usage: _get_virtualenv_name(python_env, work_dir_path, env_id) and returns: _get_mlflow_env_name