
from typing import Callable, Optional

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




class   __lowercase						(						__snake_case       ):






	def __init__(self				: Optional[int]      ,	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				: Optional[int]      ,	) ->			List[str]:
							super().__init__(
							    features=snake_case      ,	cache_dir=snake_case      ,	keep_in_memory=snake_case      ,	streaming=snake_case      ,	num_proc=snake_case      ,	**snake_case      ,	)
							_lowercase       :	str           =   Generator(
							    cache_dir=snake_case      ,	features=snake_case      ,	generator=snake_case      ,	gen_kwargs=snake_case      ,	**snake_case      ,	)






	def       _a(self				: Optional[int]    ) ->			Optional[int]:
							# Build iterable dataset
							if self.streaming:
													_lowercase       :	List[str]           =   self.builder.as_streaming_dataset(split="train"    )
							# Build regular (map-style) dataset
							else:
													_lowercase       :	Any           =   None
													_lowercase       :	Tuple           =   None
													_lowercase       :	Union[str, Any]           =   None
													_lowercase       :	Tuple           =   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      ,	)
													_lowercase       :	List[Any]           =   self.builder.as_dataset(
													    split="train"      ,	verification_mode=snake_case      ,	in_memory=self.keep_in_memory    )
							return dataset






import functools
from typing import Any



def 		UpperCamelCase     (       _UpperCAmelCase  :   str ,			_UpperCAmelCase  :   list[str]  )   ->			bool:






						'''simple docstring'''

						if not isinstance(_UpperCAmelCase ,			_UpperCAmelCase  ) or len(_UpperCAmelCase  ) == 0:
												raise ValueError("the string should be not empty string"  )

						if not isinstance(_UpperCAmelCase ,			_UpperCAmelCase  ) or not all(
						    isinstance(_UpperCAmelCase ,			_UpperCAmelCase  ) and len(_UpperCAmelCase  ) > 0 for item in words  ):
												raise ValueError("the words should be a list of non-empty strings"  )

						# Build trie
						_lowercase       :	dict[str, Any]           =   {}
						_lowercase       :	List[Any]           =   "WORD_KEEPER"

						for word in words:
												_lowercase       :	Optional[Any]           =   trie
												for c in word:
																		if c not in trie_node:
																								_lowercase       :	List[Any]           =   {}

																		_lowercase       :	Optional[int]           =   trie_node[c]

												_lowercase       :	str           =   True

						_lowercase       :	int           =   len(_UpperCAmelCase  )

						# Dynamic programming method
						@functools.cache
						def is_breakable(_UpperCAmelCase  :   int  ) -> bool:
												if index == len_string:
																		return True

												_lowercase       :	Union[str, Any]           =   trie
												for i in range(_UpperCAmelCase ,			_UpperCAmelCase  ):
																		_lowercase       :	List[str]           =   trie_node.get(string[i] ,			_UpperCAmelCase  )

																		if trie_node is None:
																								return False

																		if trie_node.get(_UpperCAmelCase ,			_UpperCAmelCase  ) and is_breakable(i + 1  ):
																								return True

												return False

						return is_breakable(0  )


if __name__ == "__main__":
							import doctest

							doctest.testmod()




