code: def save_result(
      self,
      f: Callable[..., dd.DataFrame],
      ba: BoundArguments,
      result: dd.DataFrame,
  ) -> None:
      path = self.get_path(f, ba)
      hdf_kwargs = {
          "chunksize": 250000,
          "mode": "w",
          "format": "table",
          "complevel": 1,
          "complib": "zlib",
      }
      hdf_kwargs.update(self.hdf_kwargs)
  
      for field_ in result.select_dtypes("category").columns:
          assert result[field_].cat.known
  
      if self.verify_index:
          # Verify that the index is properly monotinic, and cleanly divided across
          # partitions, since some operations may break these properties, and we
          # generally rely on them for operations with eg. .map_partition. These
          # checks can be a bit slow, however are worth it imo since it may save
          # some debugging down the line.
  
          _, is_monotonic = dask.compute(
              result.to_hdf(path, compute=False, **hdf_kwargs),
              result.index.is_monotonic,
          )
          assert is_monotonic, "Index is not monotonic."
  
          # Additional test that the non-unique index is divided across partitions
          # cleanly
          t = dd.read_hdf(path)
          n = t.npartitions
          for i in range(n - 1):
              a = t.get_partition(i).tail(1).index.item()
              b = t.get_partition(i + 1).head(1).index.item()
              assert (
                  a != b
              ), "Index values are not divided cleanly across partitions."
  
      else:
          result.to_parquet(path, **hdf_kwargs)
  
imports: import inspect
  import json
  import logging
  import pickle
  from dataclasses import asdict, dataclass, field, is_dataclass
  from functools import wraps
  from inspect import BoundArguments
  from pathlib import Path
  from typing import Any, Callable, Dict, Generic, List, Literal, Protocol, TypeVar, Union, cast, get_args
  import dask
  import dask.dataframe
  import pandas
  from src.utils import stringify
label_desc: Use image node_id 2 for calling the HDFSerializer obj's underlying member method code with example usage: obj.save_result(f, ba, result) without return types