code: def get_job_type() -> str:
      return "split-descriptive-statistics"
  
imports: import enum
  import logging
  import os
  from pathlib import Path
  from typing import Any, Optional, TypedDict, Union
  import numpy
  import polars
  from datasets import ClassLabel, Features
  from huggingface_hub import hf_hub_download
  from libcommon.exceptions import CacheDirectoryNotInitializedError, NoSupportedFeaturesError, ParquetResponseEmptyError, PreviousStepFormatError, SplitWithTooBigParquetError, StatisticsComputationError
  from libcommon.simple_cache import get_previous_step_or_raise
  from libcommon.storage import StrPath
  from libcommon.utils import JobInfo
  from requests.exceptions import ReadTimeout
  from tqdm import tqdm
  from worker.config import AppConfig, DescriptiveStatisticsConfig
  from worker.dtos import CompleteJobResult
  from worker.job_runners.split.split_job_runner import SplitJobRunnerWithCache
  from worker.utils import HF_HUB_HTTP_ERROR_RETRY_SLEEPS, retry
label_desc: Use image node_id 2 for calling the SplitDescriptiveStatisticsJobRunner obj's underlying member method code with example usage: obj.get_job_type() and returns: str