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 			SCREAMING_SNAKE_CASE_			(       _lowerCamelCase      ):
  '''simple docstring'''


  def __init__(					self     :       List[str]   ,						SCREAMING_SNAKE_CASE__     :       pyspark.sql.DataFrame   ,						SCREAMING_SNAKE_CASE__     :       Optional[NamedSplit] = None   ,						SCREAMING_SNAKE_CASE__     :       Optional[Features] = None   ,						SCREAMING_SNAKE_CASE__     :       bool = True   ,						SCREAMING_SNAKE_CASE__     :       str = None   ,						SCREAMING_SNAKE_CASE__     :       bool = False   ,						SCREAMING_SNAKE_CASE__     :       str = None   ,						SCREAMING_SNAKE_CASE__     :       bool = True   ,						SCREAMING_SNAKE_CASE__     :       str = "arrow"   ,						**SCREAMING_SNAKE_CASE__     :       Any   ,						)     ->					Optional[int]:
         super().__init__(
             split=_SCREAMING_SNAKE_CASE   ,						features=_SCREAMING_SNAKE_CASE   ,						cache_dir=_SCREAMING_SNAKE_CASE   ,						keep_in_memory=_SCREAMING_SNAKE_CASE   ,						streaming=_SCREAMING_SNAKE_CASE   ,						**_SCREAMING_SNAKE_CASE   ,						)
         A    :  Dict								=load_from_cache_file
         A    :  Tuple								=file_format
         A    :  Optional[int]								=Spark(
             df=_SCREAMING_SNAKE_CASE   ,						features=_SCREAMING_SNAKE_CASE   ,						cache_dir=_SCREAMING_SNAKE_CASE   ,						working_dir=_SCREAMING_SNAKE_CASE   ,						**_SCREAMING_SNAKE_CASE   ,						)







  def 		SCREAMING_SNAKE_CASE_		(					self     :       str  )     ->					Any:


         if self.streaming:
                return self.builder.as_streaming_dataset(split=self.split  )
         A    :  int								=None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
         self.builder.download_and_prepare(
             download_mode=_SCREAMING_SNAKE_CASE   ,						file_format=self._file_format   ,						)
         return self.builder.as_dataset(split=self.split  )











"""simple docstring"""

def  __snake_case							(	__A      :						list							,		__A      :						int							,		__A      :						int = 0							,		__A      :						int = 0     )     ->       int:






				'''simple docstring'''
				SCREAMING_SNAKE_CASE						:							Any							=     right or len(__A     ) - 1
				if left > right:
								return -1
				elif list_data[left] == key:
								return left
				elif list_data[right] == key:
								return right
				else:
								return search(__A							,		__A							,		left + 1							,		right - 1     )


if __name__ == "__main__":
							import doctest

							doctest.testmod()





