

import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class     lowerCamelCase_   ( _lowerCAmelCase  ,							unittest.TestCase):
 _lowerCAmelCase       		=  HerbertTokenizer
 _lowerCAmelCase       		=  HerbertTokenizerFast
 _lowerCAmelCase       		=  True




 def 						a					( self       ):
   super().setUp()

   # Use a simpler test file without japanese/chinese characters
   with open(F"{get_tests_dir()}/fixtures/sample_text_no_unicode.txt"     ,     encoding='utf-8'       ) as f_data:
     __UpperCAmelCase  :     Optional[int]		=    f_data.read().replace('\n\n'     ,     '\n'       ).strip()

   __UpperCAmelCase  :     Optional[Any]		=    [
       '<s>',
       '</s>',
       'l',
       'o',
       'w',
       'e',
       'r',
       's',
       't',
       'i',
       'd',
       'n',
       'w</w>',
       'r</w>',
       't</w>',
       'lo',
       'low',
       'er</w>',
       'low</w>',
       'lowest</w>',
       'newer</w>',
       'wider</w>',
       ',</w>',
       '<unk>',
   ]
   __UpperCAmelCase  :     Any		=    dict(zip(_UpperCAmelCase     ,     range(len(_UpperCAmelCase       )       )       )       )
   __UpperCAmelCase  :     List[Any]		=    ['l o 123', 'lo w 1456', 'e r</w> 1789', '']

   __UpperCAmelCase  :     Union[str, Any]		=    os.path.join(self.tmpdirname     ,     VOCAB_FILES_NAMES['vocab_file']       )
   __UpperCAmelCase  :     Optional[Any]		=    os.path.join(self.tmpdirname     ,     VOCAB_FILES_NAMES['merges_file']       )
   with open(self.vocab_file     ,     'w'       ) as fp:
     fp.write(json.dumps(_UpperCAmelCase       )       )
   with open(self.merges_file     ,     'w'       ) as fp:
     fp.write('\n'.join(_UpperCAmelCase       )       )




 def 						a					( self     ,     _UpperCAmelCase       ):
   __UpperCAmelCase  :     int		=    'lower newer'
   __UpperCAmelCase  :     str		=    'lower newer'
   return input_text, output_text




 def 						a					( self       ):
   __UpperCAmelCase  :     Tuple		=    self.tokenizer_class(vocab_file=self.vocab_file     ,     merges_file=self.merges_file       )

   __UpperCAmelCase  :     Any		=    'lower'
   __UpperCAmelCase  :     Optional[Any]		=    ['low', 'er</w>']
   __UpperCAmelCase  :     Union[str, Any]		=    tokenizer.tokenize(_UpperCAmelCase       )
   self.assertListEqual(_UpperCAmelCase     ,     _UpperCAmelCase       )

   __UpperCAmelCase  :     str		=    tokens + ['<unk>']
   __UpperCAmelCase  :     Dict		=    [16, 17, 23]
   self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase       )     ,     _UpperCAmelCase       )




 def 						a					( self       ):
   if not self.test_rust_tokenizer:
     return

   __UpperCAmelCase  :     List[Any]		=    self.get_tokenizer()
   __UpperCAmelCase  :     Any		=    self.get_rust_tokenizer()

   __UpperCAmelCase  :     str		=    'lower,newer'

   __UpperCAmelCase  :     Any		=    tokenizer.tokenize(_UpperCAmelCase       )
   __UpperCAmelCase  :     Dict		=    rust_tokenizer.tokenize(_UpperCAmelCase       )
   self.assertListEqual(_UpperCAmelCase     ,     _UpperCAmelCase       )

   __UpperCAmelCase  :     Union[str, Any]		=    tokenizer.encode(_UpperCAmelCase     ,     add_special_tokens=_UpperCAmelCase       )
   __UpperCAmelCase  :     List[Any]		=    rust_tokenizer.encode(_UpperCAmelCase     ,     add_special_tokens=_UpperCAmelCase       )
   self.assertListEqual(_UpperCAmelCase     ,     _UpperCAmelCase       )

   __UpperCAmelCase  :     Any		=    self.get_rust_tokenizer()
   __UpperCAmelCase  :     str		=    tokenizer.encode(_UpperCAmelCase       )
   __UpperCAmelCase  :     List[Any]		=    rust_tokenizer.encode(_UpperCAmelCase       )
   self.assertListEqual(_UpperCAmelCase     ,     _UpperCAmelCase       )




 @slow
 def 						a					( self       ):
   __UpperCAmelCase  :     str		=    self.tokenizer_class.from_pretrained('allegro/herbert-base-cased'       )

   __UpperCAmelCase  :     Tuple		=    tokenizer.encode('konstruowanie sekwencji'     ,     add_special_tokens=_UpperCAmelCase       )
   __UpperCAmelCase  :     Any		=    tokenizer.encode('konstruowanie wielu sekwencji'     ,     add_special_tokens=_UpperCAmelCase       )

   __UpperCAmelCase  :     List[str]		=    tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase       )
   __UpperCAmelCase  :     Optional[int]		=    tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase     ,     _UpperCAmelCase       )

   assert encoded_sentence == [0] + text + [2]
   assert encoded_pair == [0] + text + [2] + text_a + [2]








def    _snake_case		(snake_case_				:    list						,					snake_case_				:    list     )       ->		list:
  __UpperCAmelCase  :     int		=    len(snake_case_     )
  __UpperCAmelCase  :     int		=    len(snake_case_     )
  __UpperCAmelCase  :     int		=    (
      first_input_list_length
      if first_input_list_length > second_input_list_length
      else second_input_list_length
  )
  __UpperCAmelCase  :     list		=    []
  for char_count in range(snake_case_     ):
    if char_count < first_input_list_length:
      output_result_list.append(first_input_list[char_count]     )
    if char_count < second_input_list_length:
      output_result_list.append(second_input_list[char_count]     )

  return output_result_list


if __name__ == "__main__":
      print(alternative_list_arrange(['''A''', '''B''', '''C'''], [1, 2, 3, 4, 5]), end=''' ''')





