



from __future__ import annotations

from typing import Any
def 		UpperCamelCase	(   snake_case__       :    list[Any]	)	->     None:
   create_state_space_tree(snake_case__       ,     []       ,     0	)
def 		UpperCamelCase	(   snake_case__       :    list[Any]       ,     snake_case__       :    list[Any]       ,     snake_case__       :    int	)	->     None:

   if index == len(snake_case__	):
      print(snake_case__	)
      return

   create_state_space_tree(snake_case__       ,     snake_case__       ,     index + 1	)
   current_subsequence.append(sequence[index]	)
   create_state_space_tree(snake_case__       ,     snake_case__       ,     index + 1	)
   current_subsequence.pop()


if __name__ == "__main__":
    __UpperCAmelCase          =       [3, 1, 2, 4]
    generate_all_subsequences(seq)

    seq.clear()
    seq.extend(['''A''', '''B''', '''C'''])
    generate_all_subsequences(seq)








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 				lowerCAmelCase_		(  a__							):
       def __init__(			self,			SCREAMING_SNAKE_CASE_,			SCREAMING_SNAKE_CASE_ = None,			SCREAMING_SNAKE_CASE_ = None,			SCREAMING_SNAKE_CASE_ = True,			SCREAMING_SNAKE_CASE_ = None,			SCREAMING_SNAKE_CASE_ = False,			SCREAMING_SNAKE_CASE_ = None,			SCREAMING_SNAKE_CASE_ = True,			SCREAMING_SNAKE_CASE_ = "arrow",			**SCREAMING_SNAKE_CASE_,			)     ->		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_,			)
          UpperCamelCase    :  List[str]							=	load_from_cache_file
          UpperCamelCase    :  List[str]							=	file_format
          UpperCamelCase    :  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 					snake_case_       (			self       )     ->		int:
          if self.streaming:
             return self.builder.as_streaming_dataset(split=self.split       )
          UpperCamelCase    :  Union[str, Any]							=	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       )



