


'''simple docstring'''

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_    :							str         =					get_tests_dir("""fixtures/test_sentencepiece_bpe.model""")





class 	snake_case       (       __lowerCamelCase     ,		unittest.TestCase     ):





  """simple docstring"""




  _lowerCamelCase						       =    BartphoTokenizer
  _lowerCamelCase						       =    False
  _lowerCamelCase						       =    True






  def     snake_case						(       self	):







   """simple docstring"""
   super().setUp()

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

   lowerCamelCase_						=    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_						=    BartphoTokenizer(lowerCamelCase__     ,    self.monolingual_vocab_file     ,    **self.special_tokens_map	)
   tokenizer.save_pretrained(self.tmpdirname	)






  def     snake_case						(       self     ,    **UpperCamelCase	):







   """simple docstring"""
   kwargs.update(self.special_tokens_map	)
   return BartphoTokenizer.from_pretrained(self.tmpdirname     ,    **lowerCamelCase__	)






  def     snake_case						(       self     ,    UpperCamelCase	):







   """simple docstring"""
   lowerCamelCase_						=    "This is a là test"
   lowerCamelCase_						=    "This is a<unk><unk> test"
   return input_text, output_text







  def     snake_case						(       self	):







   """simple docstring"""
   lowerCamelCase_						=    BartphoTokenizer(lowerCamelCase__     ,    self.monolingual_vocab_file     ,    **self.special_tokens_map	)
   lowerCamelCase_						=    "This is a là test"
   lowerCamelCase_						=    "▁This ▁is ▁a ▁l à ▁t est".split()
   lowerCamelCase_						=    tokenizer.tokenize(lowerCamelCase__	)
   self.assertListEqual(lowerCamelCase__     ,    lowerCamelCase__	)

   lowerCamelCase_						=    tokens + [tokenizer.unk_token]
   lowerCamelCase_						=    [4, 5, 6, 3, 3, 7, 8, 3]
   self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__	)     ,    lowerCamelCase__	)






__lowercase				      =						[4, 1, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
__lowercase				      =						[3, 7, 7, 4, 2, 6, 4, 1, 5, 3, 7, 5]
__lowercase				      =						{
    0: """Sunday""",
    1: """Monday""",
    2: """Tuesday""",
    3: """Wednesday""",
    4: """Thursday""",
    5: """Friday""",
    6: """Saturday""",
}







def 							_lowerCamelCase   (			SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE		,				SCREAMING_SNAKE_CASE   ):
      '''simple docstring'''







      assert len(str(SCREAMING_SNAKE_CASE   )   ) > 2, "year should be in YYYY format"
      assert 1 <= month <= 12, "month should be between 1 to 12"
      assert 1 <= day <= 31, "day should be between 1 to 31"

      # Doomsday algorithm:
      A_							       =		year // 100
      A_							       =		(5 * (century % 4) + 2) % 7
      A_							       =		year % 100
      A_							       =		centurian % 12
      A_							       =		(
          (centurian // 12) + centurian_m + (centurian_m // 4) + century_anchor
      ) % 7
      A_							       =		(
          DOOMSDAY_NOT_LEAP[month - 1]
          if (year % 4 != 0) or (centurian == 0 and (year % 400) == 0)
          else DOOMSDAY_LEAP[month - 1]
      )
      A_							       =		(dooms_day + day - day_anchor) % 7
      return WEEK_DAY_NAMES[week_day]


if __name__ == "__main__":
      import doctest

      doctest.testmod()





