

'''simple docstring'''





def 							_lowerCAmelCase (      __magic_name__	:    str      ,   __magic_name__	:    int	)							->     list:
						lowercase   :       Tuple								=word.split()

						def justify(__magic_name__	:    list      ,   __magic_name__	:    int      ,   __magic_name__	:    int	) -> str:
												lowercase   :       Union[str, Any]								=max_width - width
												lowercase   :       int								=len(__magic_name__	)
												if len(__magic_name__	) == 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:
																		lowercase   :       str								=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]
																		lowercase   :       Optional[int]								=spaces_to_insert_between_words * [
																		    overall_spaces_count // spaces_to_insert_between_words
																		]
																		lowercase   :       Optional[int]								=(
																		    overall_spaces_count % spaces_to_insert_between_words
																		)
																		# distribute spaces via round robin to the left words
																		for i in range(__magic_name__	):
																								num_spaces_between_words_list[i] += 1
																		lowercase   :       List[Any]								=[]
																		for i in range(__magic_name__	):
																								# 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(__magic_name__	)

						lowercase   :       str								=[]
						lowercase   :       list[str]								=[]
						lowercase   :       Tuple								=0
						for word in words:
												if width + len(__magic_name__	) + len(__magic_name__	) <= 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(__magic_name__	)
																		width += len(__magic_name__	)
												else:
																		# justify the line and add it to result
																		answer.append(justify(__magic_name__      ,   __magic_name__      ,   __magic_name__	)	)
																		# reset new line and new width
																		lowercase		,  lowercase   :       List[Any]								=[word], len(__magic_name__	)
						lowercase   :       List[Any]								=max_width - width - len(__magic_name__	)
						answer.append(''' '''.join(__magic_name__	) + (remaining_spaces + 1) * ''' '''	)
						return answer


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

							testmod()








'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase_							=					{"""configuration_plbart""": ["""PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PLBartConfig"""]}

try:
							if not is_sentencepiece_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					["""PLBartTokenizer"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_							=					[
							    """PLBART_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """PLBartForCausalLM""",
							    """PLBartForConditionalGeneration""",
							    """PLBartForSequenceClassification""",
							    """PLBartModel""",
							    """PLBartPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig

							try:
														if not is_sentencepiece_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_plbart import PLBartTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_plbart import (
														    PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
														    PLBartForCausalLM,
														    PLBartForConditionalGeneration,
														    PLBartForSequenceClassification,
														    PLBartModel,
														    PLBartPreTrainedModel,
														)


else:
							import sys

							UpperCamelCase_							=					_LazyModule(__name__, globals()["""__file__"""], _import_structure)





