





def 						lowerCamelCase__     (     UpperCamelCase__			:       str       ,    UpperCamelCase__			:       int						)			-> list:



     '''simple docstring'''




     _snake_case									=				word.split()

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

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


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

     testmod()










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_      							=     {
    """configuration_bigbird_pegasus""": [
        """BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BigBirdPegasusConfig""",
        """BigBirdPegasusOnnxConfig""",
    ],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase_      							=     [
					    """BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """BigBirdPegasusForCausalLM""",
					    """BigBirdPegasusForConditionalGeneration""",
					    """BigBirdPegasusForQuestionAnswering""",
					    """BigBirdPegasusForSequenceClassification""",
					    """BigBirdPegasusModel""",
					    """BigBirdPegasusPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_bigbird_pegasus import (
					    BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    BigBirdPegasusConfig,
					    BigBirdPegasusOnnxConfig,
					)

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_bigbird_pegasus import (
										    BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
										    BigBirdPegasusForCausalLM,
										    BigBirdPegasusForConditionalGeneration,
										    BigBirdPegasusForQuestionAnswering,
										    BigBirdPegasusForSequenceClassification,
										    BigBirdPegasusModel,
										    BigBirdPegasusPreTrainedModel,
										)


else:
					import sys

					UpperCAmelCase_      							=     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



