code: def test_download_artifacts_provides_failure_info(
      databricks_artifact_repo,
  ):
      with mock.patch(
          f"{DATABRICKS_ARTIFACT_REPOSITORY}._get_read_credential_infos",
          return_value=[
              ArtifactCredentialInfo(
                  signed_uri=MOCK_AZURE_SIGNED_URI,
                  type=ArtifactCredentialType.AZURE_SAS_URI,
              ),
          ],
      ), mock.patch(
          f"{DATABRICKS_ARTIFACT_REPOSITORY}.list_artifacts",
          return_value=[
              FileInfo(path="file_1.txt", is_dir=False, file_size=100),
              FileInfo(path="file_2.txt", is_dir=False, file_size=0),
          ],
      ), mock.patch(
          f"{DATABRICKS_ARTIFACT_REPOSITORY}._download_from_cloud",
          side_effect=[
              MlflowException("MOCK ERROR 1"),
              MlflowException("MOCK ERROR 2"),
          ],
      ):
          match = r"The following failures occurred while downloading one or more artifacts.+"
          with pytest.raises(MlflowException, match=match) as exc:
              databricks_artifact_repo.download_artifacts("test_path")
  
          err_msg = str(exc.value)
          assert MOCK_RUN_ROOT_URI in err_msg
          assert "file_1.txt" in err_msg
          assert "MOCK ERROR 1" in err_msg
          assert "file_2.txt" in err_msg
          assert "MOCK ERROR 2" in err_msg
  
imports: import json
  import os
  import posixpath
  import re
  import shutil
  import time
  from unittest import mock
  from unittest.mock import ANY
  import pytest
  from requests.models import Response
  from mlflow.entities.file_info import FileInfo
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_artifacts_pb2 import ArtifactCredentialInfo, ArtifactCredentialType, CompleteMultipartUpload, CreateMultipartUpload, GetCredentialsForRead, GetCredentialsForWrite, GetPresignedUploadPartUrl
  from mlflow.protos.service_pb2 import FileInfo, ListArtifacts
  from mlflow.store.artifact.artifact_repository_registry import get_artifact_repository
  from mlflow.store.artifact.databricks_artifact_repo import _MAX_CREDENTIALS_REQUEST_SIZE, DatabricksArtifactRepository
label_desc: Use image node_id 35 for calling a global function with example usage: test_download_artifacts_provides_failure_info(databricks_artifact_repo) without return types