




"""simple docstring"""






def 							UpperCAmelCase		(		snake_case			:					str      ,       snake_case			:					int    ):
					_lowerCAmelCase:Optional[Any]									=  word.split()

					def justify(snake_case			:					list      ,       snake_case			:					int      ,       snake_case			:					int    ) -> str:
										_lowerCAmelCase:Union[str, Any]									=  max_width - width
										_lowerCAmelCase:Union[str, Any]									=  len(snake_case    )
										if len(snake_case    ) == 1:
															# if there is only word in line
															# just insert overall_spaces_count for the remainder of line
															return line[0] + " " * overall_spaces_count
										else:
															_lowerCAmelCase:Tuple									=  words_count - 1
															# num_spaces_between_words_list[i] : tells you to insert
															# num_spaces_between_words_list[i] spaces
															# after word on line[i]
															_lowerCAmelCase:int									=  spaces_to_insert_between_words * [
															    overall_spaces_count // spaces_to_insert_between_words
															]
															_lowerCAmelCase:Dict									=  (
															    overall_spaces_count % spaces_to_insert_between_words
															)
															# distribute spaces via round robin to the left words
															for i in range(snake_case    ):
																				num_spaces_between_words_list[i] += 1
															_lowerCAmelCase:str									=  []
															for i in range(snake_case    ):
																				# add the word
																				aligned_words_list.append(line[i]    )
																				# add the spaces to insert
																				aligned_words_list.append(num_spaces_between_words_list[i] * ''' '''    )
															# just add the last word to the sentence
															aligned_words_list.append(line[-1]    )
															# join the aligned words list to form a justified line
															return "".join(snake_case    )

					_lowerCAmelCase:List[str]									=  []
					_lowerCAmelCase:list[str]									=  []
					_lowerCAmelCase:str									=  0
					for word in words:
										if width + len(snake_case    ) + len(snake_case    ) <= max_width:
															# keep adding words until we can fill out max_width
															# width = sum of length of all words (without overall_spaces_count)
															# len(word) = length of current word
															# len(line) = number of overall_spaces_count to insert between words
															line.append(snake_case    )
															width += len(snake_case    )
										else:
															# justify the line and add it to result
															answer.append(justify(snake_case      ,       snake_case      ,       snake_case    )    )
															# reset new line and new width
															_lowerCAmelCase							,   _lowerCAmelCase:Tuple									=  [word], len(snake_case    )
					_lowerCAmelCase:List[Any]									=  max_width - width - len(snake_case    )
					answer.append(''' '''.join(snake_case    ) + (remaining_spaces + 1) * ''' '''    )
					return answer


if __name__ == "__main__":
				from doctest import testmod

				testmod()












"""simple docstring"""






import warnings

from ...utils import logging
from .image_processing_poolformer import PoolFormerImageProcessor


UpperCamelCase__						=			logging.get_logger(__name__)




class   a__			(       UpperCamelCase_  ):





						def __init__(							self      :	Dict     ,*a__      :	List[str]     ,**a__      :	str)						->       None:




											"""simple docstring"""







											warnings.warn(
											    '''The class PoolFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
											    ''' Please use PoolFormerImageProcessor instead.'''     ,a__     ,)
											super().__init__(*a__     ,**a__)






