code: def _get_data_lake_client(account_url, credential):
      from azure.storage.filedatalake import DataLakeServiceClient
  
      return DataLakeServiceClient(account_url, credential)
  
imports: import os
  import posixpath
  import re
  import urllib.parse
  from typing import List
  import requests
  from mlflow.azure.client import patch_adls_file_upload, patch_adls_flush, put_adls_file_creation
  from mlflow.entities import FileInfo
  from mlflow.environment_variables import MLFLOW_ARTIFACT_UPLOAD_DOWNLOAD_TIMEOUT, MLFLOW_ENABLE_MULTIPART_UPLOAD, MLFLOW_MULTIPART_UPLOAD_CHUNK_SIZE
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_artifacts_pb2 import ArtifactCredentialInfo
  from mlflow.store.artifact.cloud_artifact_repo import CloudArtifactRepository, _complete_futures, _compute_num_chunks
label_desc: Use image node_id 2 for calling a global function with example usage: _get_data_lake_client(account_url, credential) and returns: DataLakeServiceClient