


def       UpperCAmelCase__						(UpperCamelCase_							,UpperCamelCase_    ):



     """simple docstring"""






     snake_case					=    word.split()

     def justify(UpperCamelCase_							,UpperCamelCase_							,UpperCamelCase_    ) -> 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


_SCREAMING_SNAKE_CASE      :			int      				=   {
    "configuration_timesformer": ["TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "TimesformerConfig"],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _SCREAMING_SNAKE_CASE      :			Dict      				=   [
     "TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
     "TimesformerModel",
     "TimesformerForVideoClassification",
     "TimesformerPreTrainedModel",
 ]

if TYPE_CHECKING:
 from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_timesformer import (
      TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
      TimesformerForVideoClassification,
      TimesformerModel,
      TimesformerPreTrainedModel,
  )

else:
 import sys

 _SCREAMING_SNAKE_CASE      :			int      				=   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




