
'''simple docstring'''


import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class 						lowercase__	(  snake_case_,					unittest.TestCase   ):






   '''simple docstring'''







   _snake_case		   =							FunnelTokenizer
   _snake_case		   =							FunnelTokenizerFast
   _snake_case		   =							True
   _snake_case		   =							True







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      super().setUp()

      UpperCamelCase       =  [
          '''<unk>''',
          '''<cls>''',
          '''<sep>''',
          '''want''',
          '''##want''',
          '''##ed''',
          '''wa''',
          '''un''',
          '''runn''',
          '''##ing''',
          ''',''',
          '''low''',
          '''lowest''',
      ]
      UpperCamelCase       =  os.path.join(self.tmpdirname ,   VOCAB_FILES_NAMES['''vocab_file''']   )
      with open(self.vocab_file ,   '''w''' ,   encoding='''utf-8'''   ) as vocab_writer:
         vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]   )   )







   def       UpperCAmelCase				(			self ,   **lowerCamelCase__   ):

      '''simple docstring'''







      return FunnelTokenizer.from_pretrained(self.tmpdirname ,   **lowerCamelCase__   )







   def       UpperCAmelCase				(			self ,   **lowerCamelCase__   ):

      '''simple docstring'''







      return FunnelTokenizerFast.from_pretrained(self.tmpdirname ,   **lowerCamelCase__   )







   def       UpperCAmelCase				(			self ,   lowerCamelCase__   ):

      '''simple docstring'''







      UpperCamelCase       =  '''UNwant\u00E9d,running'''
      UpperCamelCase       =  '''unwanted, running'''
      return input_text, output_text







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  self.tokenizer_class(self.vocab_file   )

      UpperCamelCase       =  tokenizer.tokenize('''UNwant\u00E9d,running'''   )
      self.assertListEqual(lowerCamelCase__ ,   ['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']   )
      self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase__   ) ,   [7, 4, 5, 1_0, 8, 9]   )







   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      UpperCamelCase       =  self.get_tokenizers(do_lower_case=lowerCamelCase__   )
      for tokenizer in tokenizers:
         UpperCamelCase       =  tokenizer('''UNwant\u00E9d,running'''   )
         UpperCamelCase       =  len(inputs['''input_ids''']   ) - 1
         self.assertListEqual(inputs['''token_type_ids'''] ,   [2] + [0] * sentence_len   )

         UpperCamelCase       =  tokenizer('''UNwant\u00E9d,running''' ,   '''UNwant\u00E9d,running'''   )
         self.assertListEqual(inputs['''token_type_ids'''] ,   [2] + [0] * sentence_len + [1] * sentence_len   )







'''simple docstring'''


import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
   from .tokenization_pegasus import PegasusTokenizer
else:
   snake_case_ :  Dict     =					None


snake_case_ :  int     =					logging.get_logger(__name__)


snake_case_ :  int     =					'▁'

snake_case_ :  Optional[int]     =					{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

snake_case_ :  List[Any]     =					{
    'vocab_file': {'google/pegasus-xsum': 'https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model'},
    'tokenizer_file': {
        'google/pegasus-xsum': 'https://huggingface.co/google/pegasus-xsum/resolve/main/tokenizer.json'
    },
}

snake_case_ :  Tuple     =					{
    'google/pegasus-xsum': 512,
}


class 						lowercase__	(  snake_case_   ):






   '''simple docstring'''







   _snake_case		   =							VOCAB_FILES_NAMES
   _snake_case		   =							PRETRAINED_VOCAB_FILES_MAP
   _snake_case		   =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _snake_case		   =							PegasusTokenizer
   _snake_case		   =							['''input_ids''', '''attention_mask''']







   def __init__(			self ,   lowerCamelCase__=None ,   lowerCamelCase__=None ,   lowerCamelCase__="<pad>" ,   lowerCamelCase__="</s>" ,   lowerCamelCase__="<unk>" ,   lowerCamelCase__="<mask_2>" ,   lowerCamelCase__="<mask_1>" ,   lowerCamelCase__=None ,   lowerCamelCase__=1_0_3 ,   **lowerCamelCase__ ,   ):

      '''simple docstring'''







      UpperCamelCase       =  offset

      if additional_special_tokens is not None:
         if not isinstance(lowerCamelCase__ ,   lowerCamelCase__   ):
            raise TypeError(
                f'additional_special_tokens should be of type {type(lowerCamelCase__   )}, but is'
                f' {type(lowerCamelCase__   )}'   )

         UpperCamelCase       =  (
             ([mask_token_sent] + additional_special_tokens)
             if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
             else additional_special_tokens
         )
         # fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
         additional_special_tokens_extended += [
             f'<unk_{i}>' for i in range(len(lowerCamelCase__   ) ,   self.offset - 1   )
         ]

         if len(set(lowerCamelCase__   )   ) != len(lowerCamelCase__   ):
            raise ValueError(
                '''Please make sure that the provided additional_special_tokens do not contain an incorrectly'''
                f' shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}.'   )
         UpperCamelCase       =  additional_special_tokens_extended
      else:
         UpperCamelCase       =  [mask_token_sent] if mask_token_sent is not None else []
         additional_special_tokens += [f'<unk_{i}>' for i in range(2 ,   self.offset   )]

      super().__init__(
          lowerCamelCase__ ,   tokenizer_file=lowerCamelCase__ ,   pad_token=lowerCamelCase__ ,   eos_token=lowerCamelCase__ ,   unk_token=lowerCamelCase__ ,   mask_token=lowerCamelCase__ ,   mask_token_sent=lowerCamelCase__ ,   offset=lowerCamelCase__ ,   additional_special_tokens=lowerCamelCase__ ,   **lowerCamelCase__ ,   )
      UpperCamelCase       =  vocab_file
      UpperCamelCase       =  False if not self.vocab_file else True







   def       UpperCAmelCase				(			self ,   lowerCamelCase__   ):

      '''simple docstring'''







      UpperCamelCase       =  set(self.all_special_ids   )  # call it once instead of inside list comp
      all_special_ids.remove(self.unk_token_id   )  # <unk> is only sometimes special

      if all_special_ids != set(range(len(self.additional_special_tokens   ) + 3   )   ):
         raise ValueError(
             '''There should be 3 special tokens: mask_token, pad_token, and eos_token +'''
             f' {len(self.additional_special_tokens   )} additional_special_tokens, but got {all_special_ids}'   )

      return [1 if x in all_special_ids else 0 for x in seq]







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__ = None ,   lowerCamelCase__ = False   ):

      '''simple docstring'''







      if already_has_special_tokens:
         return self._special_token_mask(lowerCamelCase__   )
      elif token_ids_a is None:
         return self._special_token_mask(lowerCamelCase__   ) + [1]
      else:
         return self._special_token_mask(token_ids_a + token_ids_a   ) + [1]







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__=None   ):

      '''simple docstring'''







      if token_ids_a is None:
         return token_ids_a + [self.eos_token_id]
      # We don't expect to process pairs, but leave the pair logic for API consistency
      return token_ids_a + token_ids_a + [self.eos_token_id]







   def       UpperCAmelCase				(			self ,   lowerCamelCase__ ,   lowerCamelCase__ = None   ):

      '''simple docstring'''







      if not self.can_save_slow_tokenizer:
         raise ValueError(
             '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
             '''tokenizer.'''   )

      if not os.path.isdir(lowerCamelCase__   ):
         logger.error(f'Vocabulary path ({save_directory}) should be a directory'   )
         return
      UpperCamelCase       =  os.path.join(
          lowerCamelCase__ ,   (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']   )

      if os.path.abspath(self.vocab_file   ) != os.path.abspath(lowerCamelCase__   ):
         copyfile(self.vocab_file ,   lowerCamelCase__   )

      return (out_vocab_file,)





