


from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream







class 			_lowercase (							lowercase__):


       """simple docstring"""




       def __init__(   self							:			Dict					,      __lowerCamelCase							:			Callable					,      __lowerCamelCase							:			Optional[Features] = None					,      __lowerCamelCase							:			str = None					,      __lowerCamelCase							:			bool = False					,      __lowerCamelCase							:			bool = False					,      __lowerCamelCase							:			Optional[dict] = None					,      __lowerCamelCase							:			Optional[int] = None					,      **__lowerCamelCase							:			Any					,      ):


             '''simple docstring'''



             super().__init__(
                 features=__lowerCamelCase					,      cache_dir=__lowerCamelCase					,      keep_in_memory=__lowerCamelCase					,      streaming=__lowerCamelCase					,      num_proc=__lowerCamelCase					,      **__lowerCamelCase					,      )
             lowerCamelCase__		:				int    =  Generator(
                 cache_dir=__lowerCamelCase					,      features=__lowerCamelCase					,      generator=__lowerCamelCase					,      gen_kwargs=__lowerCamelCase					,      **__lowerCamelCase					,      )





       def 						lowerCAmelCase     (   self							:			Optional[int]       ):


             '''simple docstring'''



             if self.streaming:
                   lowerCamelCase__		:				Dict    =  self.builder.as_streaming_dataset(split="train"       )
             # Build regular (map-style) dataset
             else:
                   lowerCamelCase__		:				List[Any]    =  None
                   lowerCamelCase__		:				int    =  None
                   lowerCamelCase__		:				Optional[Any]    =  None
                   lowerCamelCase__		:				int    =  None

                   self.builder.download_and_prepare(
                       download_config=__lowerCamelCase					,      download_mode=__lowerCamelCase					,      verification_mode=__lowerCamelCase					,      base_path=__lowerCamelCase					,      num_proc=self.num_proc					,      )
                   lowerCamelCase__		:				Union[str, Any]    =  self.builder.as_dataset(
                       split="train"					,      verification_mode=__lowerCamelCase					,      in_memory=self.keep_in_memory       )
             return dataset






from __future__ import annotations

from typing import Any

def       lowercase_		(		_A			:    list[Any]						):

      """simple docstring"""




      create_state_space_tree(_A    ,					[]    ,					0						)

def       lowercase_		(		_A			:    list[Any]    ,					_A			:    list[Any]    ,					_A			:    int						):

      """simple docstring"""




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

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


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

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


