code: def large_file(tmp_path, mock_chunk_size):
      path = tmp_path.joinpath("large_file")
      with path.open("a") as f:
          f.write("a" * mock_chunk_size)
          f.write("b" * mock_chunk_size)
      return path
  
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 38 for calling a global function with example usage: large_file(tmp_path, mock_chunk_size) and returns: path