






from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader






class 						UpperCAmelCase__ (							__snake_case							):







		def __init__(					self       ,A__       ,A__ = None       ,A__ = None       ,A__ = True       ,A__ = None       ,A__ = False       ,A__ = None       ,A__ = True       ,A__ = "arrow"       ,**A__       ,):
						super().__init__(
						    split=A__       ,features=A__       ,cache_dir=A__       ,keep_in_memory=A__       ,streaming=A__       ,**A__       ,)
						_A	:				List[str]   =      load_from_cache_file
						_A	:				str   =      file_format
						_A	:				str   =      Spark(
						    df=A__       ,features=A__       ,cache_dir=A__       ,working_dir=A__       ,**A__       ,)







		def  A__      (					self		):
						if self.streaming:
										return self.builder.as_streaming_dataset(split=self.split		)
						_A	:				str   =      None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
						self.builder.download_and_prepare(
						    download_mode=A__       ,file_format=self._file_format       ,)
						return self.builder.as_dataset(split=self.split		)











import warnings


warnings.warn(
    'memory_utils has been reorganized to utils.memory. Import `find_executable_batchsize` from the main `__init__`: '
    '`from accelerate import find_executable_batch_size` to avoid this warning.',
    FutureWarning,
)



