code: def test_model_save_without_specified_conda_env_uses_default_env_with_expected_dependencies(
      lgb_model, model_path
  ):
      mlflow.lightgbm.save_model(
          lgb_model=lgb_model.model, path=model_path
      )
      _assert_pip_requirements(
          model_path, mlflow.lightgbm.get_default_pip_requirements()
      )
  
imports: import json
  import os
  from collections import namedtuple
  from pathlib import Path
  from unittest import mock
  import lightgbm
  import numpy
  import pandas
  import pytest
  import yaml
  from sklearn import datasets
  from sklearn.pipeline import Pipeline
  import mlflow.lightgbm
  import mlflow.pyfunc.scoring_server
  import mlflow.utils
  from mlflow import pyfunc
  from mlflow.models import Model, ModelSignature
  from mlflow.models.utils import _read_example
  from mlflow.store.artifact.s3_artifact_repo import S3ArtifactRepository
  from mlflow.tracking.artifact_utils import _download_artifact_from_uri
  from mlflow.types import DataType
  from mlflow.types.schema import ColSpec, Schema, TensorSpec
  from mlflow.utils.environment import _mlflow_conda_env
  from mlflow.utils.file_utils import TempDir
  from mlflow.utils.model_utils import _get_flavor_configuration
  from tests.helper_functions import _assert_pip_requirements, _compare_conda_env_requirements, _compare_logged_code_paths, _is_available_on_pypi, _mlflow_major_version_string, assert_register_model_called_with_local_model_path, pyfunc_serve_and_score_model
label_desc: Use image node_id 20 for calling a global function with example usage: test_model_save_without_specified_conda_env_uses_default_env_with_expected_dependencies(lgb_model, model_path) without return types