





def      lowerCAmelCase_ (       __a	,    __a		)     ->		list:







  """simple docstring"""





  lowerCamelCase__:      int			  =word.split()

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

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


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

     testmod()








import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


__A									=				get_tests_dir("fixtures/test_sentencepiece_bpe.model")



class    _SCREAMING_SNAKE_CASE						(	__SCREAMING_SNAKE_CASE    ,							unittest.TestCase    ):







 '''simple docstring'''
 lowercase_		=			BartphoTokenizer
 lowercase_		=			False
 lowercase_		=			True

 def 							SCREAMING_SNAKE_CASE_					(self				:   List[Any])       ->Tuple:



   '''simple docstring'''



   super().setUp()

   lowerCamelCase__:      int			  =["▁This", "▁is", "▁a", "▁t", "est"]
   lowerCamelCase__:      Tuple			  =dict(zip(UpperCAmelCase_       , range(len(UpperCAmelCase_))))
   lowerCamelCase__:      List[Any]			  ={"unk_token": "<unk>"}

   lowerCamelCase__:      Dict			  =os.path.join(self.tmpdirname       , VOCAB_FILES_NAMES["monolingual_vocab_file"])
   with open(self.monolingual_vocab_file       , "w"       , encoding="utf-8") as fp:
     for token in vocab_tokens:
       fp.write(F"""{token} {vocab_tokens[token]}\n""")

   lowerCamelCase__:      Dict			  =BartphoTokenizer(UpperCAmelCase_       , self.monolingual_vocab_file       , **self.special_tokens_map)
   tokenizer.save_pretrained(self.tmpdirname)

 def 							SCREAMING_SNAKE_CASE_					(self				:   Optional[int]       , **UpperCAmelCase_				:   Optional[Any])       ->str:



   '''simple docstring'''



   kwargs.update(self.special_tokens_map)
   return BartphoTokenizer.from_pretrained(self.tmpdirname       , **UpperCAmelCase_)

 def 							SCREAMING_SNAKE_CASE_					(self				:   Union[str, Any]       , UpperCAmelCase_				:   Optional[Any])       ->List[Any]:



   '''simple docstring'''



   lowerCamelCase__:      Optional[int]			  ="This is a là test"
   lowerCamelCase__:      Optional[Any]			  ="This is a<unk><unk> test"
   return input_text, output_text







 def 							SCREAMING_SNAKE_CASE_					(self				:   List[Any])       ->Optional[Any]:



   '''simple docstring'''



   lowerCamelCase__:      str			  =BartphoTokenizer(UpperCAmelCase_       , self.monolingual_vocab_file       , **self.special_tokens_map)
   lowerCamelCase__:      List[Any]			  ="This is a là test"
   lowerCamelCase__:      Optional[int]			  ="▁This ▁is ▁a ▁l à ▁t est".split()
   lowerCamelCase__:      Optional[int]			  =tokenizer.tokenize(UpperCAmelCase_)
   self.assertListEqual(UpperCAmelCase_       , UpperCAmelCase_)

   lowerCamelCase__:      Tuple			  =tokens + [tokenizer.unk_token]
   lowerCamelCase__:      List[Any]			  =[4, 5, 6, 3, 3, 7, 8, 3]
   self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_)       , UpperCAmelCase_)

