

import functools
from typing import Any

def 							__SCREAMING_SNAKE_CASE							(				lowerCAmelCase:  str  ,      lowerCAmelCase:  list[str] )   ->       bool:

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

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

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

				for word in words:
								_UpperCAmelCase       :		List[str] 		=    trie
								for c in word:
												if c not in trie_node:
																_UpperCAmelCase       :		str 		=    {}

												_UpperCAmelCase       :		List[str] 		=    trie_node[c]

								_UpperCAmelCase       :		Optional[Any] 		=    True

				_UpperCAmelCase       :		Optional[int] 		=    len(lowerCAmelCase )

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

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

												if trie_node is None:
																return False

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

								return False

				return is_breakable(0 )


if __name__ == "__main__":
					import doctest

					doctest.testmod()





import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


SCREAMING_SNAKE_CASE_        =      logging.get_logger(__name__)

class 				a  (	UpperCAmelCase				):


						def __init__(       self						,					*A_						,					**A_	):







										'''simple docstring'''


										warnings.warn(
										    "The class DeformableDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
										    " Please use DeformableDetrImageProcessor instead."						,					A_						,					)
										super().__init__(*A_						,					**A_	)


