"""simple docstring"""






from __future__ import annotations




def 						SCREAMING_SNAKE_CASE					(  __UpperCAmelCase       )							->   list[int]:  # This function is recursive
				SCREAMING_SNAKE_CASE__		  =				len(__UpperCAmelCase       )
				# If the array contains only one element, we return it (it's the stop condition of
				# recursion)
				if array_length <= 1:
								return array
								# Else
				SCREAMING_SNAKE_CASE__		  =				array[0]
				SCREAMING_SNAKE_CASE__		  =				False
				SCREAMING_SNAKE_CASE__		  =				1
				SCREAMING_SNAKE_CASE__		  =				[]
				while not is_found and i < array_length:
								if array[i] < pivot:
												SCREAMING_SNAKE_CASE__		  =				True
												SCREAMING_SNAKE_CASE__		  =				[element for element in array[i:] if element >= array[i]]
												SCREAMING_SNAKE_CASE__		  =				longest_subsequence(__UpperCAmelCase       )
												if len(__UpperCAmelCase       ) > len(__UpperCAmelCase       ):
																SCREAMING_SNAKE_CASE__		  =				temp_array
								else:
												i += 1

				SCREAMING_SNAKE_CASE__		  =				[element for element in array[1:] if element >= pivot]
				SCREAMING_SNAKE_CASE__		  =				[pivot, *longest_subsequence(__UpperCAmelCase       )]
				if len(__UpperCAmelCase       ) > len(__UpperCAmelCase       ):
								return temp_array
				else:
								return longest_subseq


if __name__ == "__main__":
		import doctest

		doctest.testmod()





"""simple docstring"""






from typing import Callable, Optional

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

class lowerCamelCase		(_SCREAMING_SNAKE_CASE      ):






					'''simple docstring'''


					def __init__(						self			:				List[str]   , _snake_case			:				Callable   , _snake_case			:				Optional[Features] = None   , _snake_case			:				str = None   , _snake_case			:				bool = False   , _snake_case			:				bool = False   , _snake_case			:				Optional[dict] = None   , _snake_case			:				Optional[int] = None   , **_snake_case			:				Dict   , )							->       Any:
									super().__init__(
									    features=_snake_case   , cache_dir=_snake_case   , keep_in_memory=_snake_case   , streaming=_snake_case   , num_proc=_snake_case   , **_snake_case   , )
									SCREAMING_SNAKE_CASE__		  =				Generator(
									    cache_dir=_snake_case   , features=_snake_case   , generator=_snake_case   , gen_kwargs=_snake_case   , **_snake_case   , )



					def 			lowerCAmelCase_					(						self			:				List[str]		)							->       Optional[Any]:
									# Build iterable dataset
									if self.streaming:
													SCREAMING_SNAKE_CASE__		  =				self.builder.as_streaming_dataset(split="train"		)
									# Build regular (map-style) dataset
									else:
													SCREAMING_SNAKE_CASE__		  =				None
													SCREAMING_SNAKE_CASE__		  =				None
													SCREAMING_SNAKE_CASE__		  =				None
													SCREAMING_SNAKE_CASE__		  =				None

													self.builder.download_and_prepare(
													    download_config=_snake_case   , download_mode=_snake_case   , verification_mode=_snake_case   , base_path=_snake_case   , num_proc=self.num_proc   , )
													SCREAMING_SNAKE_CASE__		  =				self.builder.as_dataset(
													    split="train"   , verification_mode=_snake_case   , in_memory=self.keep_in_memory		)
									return dataset




