code: def _get_pip_deps(conda_env):
      """
      Returns:
          The pip dependencies from the conda env.
      """
      if conda_env is not None:
          for dep in conda_env["dependencies"]:
              if _is_pip_deps(dep):
                  return dep["pip"]
      return []
  
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 5 for calling a global function with example usage: _get_pip_deps(conda_env) and returns: list, dep