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

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCamelCase__     :		Optional[int]        = logging.get_logger(__name__)

lowerCamelCase__     :		Any        = {"""vocab_file""": """sentencepiece.bpe.model"""}

lowerCamelCase__     :		Tuple        = {
    """vocab_file""": {
        """camembert-base""": """https://huggingface.co/camembert-base/resolve/main/sentencepiece.bpe.model""",
    }
}

lowerCamelCase__     :		int        = {
    """camembert-base""": 5_1_2,
}

lowerCamelCase__     :		int        = """▁"""



class    _snake_case (						UpperCAmelCase_				):
 __lowerCAmelCase	:  List[Any]	   =      VOCAB_FILES_NAMES
 __lowerCAmelCase	:  Optional[Any]	   =      PRETRAINED_VOCAB_FILES_MAP
 __lowerCAmelCase	:  Optional[Any]	   =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowerCAmelCase	:  str	   =      ['input_ids', 'attention_mask']


 def __init__(       self       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_="<s>"       ,	SCREAMING_SNAKE_CASE_="</s>"       ,	SCREAMING_SNAKE_CASE_="</s>"       ,	SCREAMING_SNAKE_CASE_="<s>"       ,	SCREAMING_SNAKE_CASE_="<unk>"       ,	SCREAMING_SNAKE_CASE_="<pad>"       ,	SCREAMING_SNAKE_CASE_="<mask>"       ,	SCREAMING_SNAKE_CASE_=["<s>NOTUSED", "</s>NOTUSED"]       ,	SCREAMING_SNAKE_CASE_ = None       ,	**SCREAMING_SNAKE_CASE_       ,	):


   '''simple docstring'''




   lowercase__	: Dict     		=   AddedToken(SCREAMING_SNAKE_CASE_       ,	lstrip=SCREAMING_SNAKE_CASE_       ,	rstrip=SCREAMING_SNAKE_CASE_) if isinstance(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_) else mask_token

   lowercase__	: int     		=   {} if sp_model_kwargs is None else sp_model_kwargs

   super().__init__(
       bos_token=SCREAMING_SNAKE_CASE_       ,	eos_token=SCREAMING_SNAKE_CASE_       ,	unk_token=SCREAMING_SNAKE_CASE_       ,	sep_token=SCREAMING_SNAKE_CASE_       ,	cls_token=SCREAMING_SNAKE_CASE_       ,	pad_token=SCREAMING_SNAKE_CASE_       ,	mask_token=SCREAMING_SNAKE_CASE_       ,	additional_special_tokens=SCREAMING_SNAKE_CASE_       ,	sp_model_kwargs=self.sp_model_kwargs       ,	**SCREAMING_SNAKE_CASE_       ,	)
   lowercase__	: Tuple     		=   spm.SentencePieceProcessor(**self.sp_model_kwargs)
   self.sp_model.Load(str(SCREAMING_SNAKE_CASE_))
   lowercase__	: Optional[Any]     		=   vocab_file
   # HACK: These tokens were added by fairseq but don't seem to be actually used when duplicated in the actual
   # sentencepiece vocabulary (this is the case for <s> and </s>
   lowercase__	: int     		=   {"""<s>NOTUSED""": 0, """<pad>""": 1, """</s>NOTUSED""": 2, """<unk>""": 3}
   lowercase__	: Union[str, Any]     		=   len(self.fairseq_tokens_to_ids)
   lowercase__	: Any     		=   len(self.sp_model) + len(self.fairseq_tokens_to_ids)
   lowercase__	: Union[str, Any]     		=   {v: k for k, v in self.fairseq_tokens_to_ids.items()}


 def   lowercase__  (       self       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_ = None):


   '''simple docstring'''




   if token_ids_a is None:
     return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
   lowercase__	: Tuple     		=   [self.cls_token_id]
   lowercase__	: Dict     		=   [self.sep_token_id]
   return cls + token_ids_a + sep + sep + token_ids_a + sep


 def   lowercase__  (       self       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_ = None       ,	SCREAMING_SNAKE_CASE_ = False):


   '''simple docstring'''




   if already_has_special_tokens:
     return super().get_special_tokens_mask(
         token_ids_a=SCREAMING_SNAKE_CASE_       ,	token_ids_a=SCREAMING_SNAKE_CASE_       ,	already_has_special_tokens=SCREAMING_SNAKE_CASE_)

   if token_ids_a is None:
     return [1] + ([0] * len(SCREAMING_SNAKE_CASE_)) + [1]
   return [1] + ([0] * len(SCREAMING_SNAKE_CASE_)) + [1, 1] + ([0] * len(SCREAMING_SNAKE_CASE_)) + [1]


 def   lowercase__  (       self       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_ = None):


   '''simple docstring'''




   lowercase__	: List[Any]     		=   [self.sep_token_id]
   lowercase__	: Dict     		=   [self.cls_token_id]

   if token_ids_a is None:
     return len(cls + token_ids_a + sep) * [0]
   return len(cls + token_ids_a + sep + sep + token_ids_a + sep) * [0]


 @property
 def   lowercase__  (       self):


   '''simple docstring'''




   return len(self.fairseq_tokens_to_ids) + len(self.sp_model)


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Any     		=   {self.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_): i for i in range(self.vocab_size)}
   vocab.update(self.added_tokens_encoder)
   return vocab


 def   lowercase__  (       self       ,	SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   return self.sp_model.encode(SCREAMING_SNAKE_CASE_       ,	out_type=SCREAMING_SNAKE_CASE_)


 def   lowercase__  (       self       ,	SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   if token in self.fairseq_tokens_to_ids:
     return self.fairseq_tokens_to_ids[token]
   elif self.sp_model.PieceToId(SCREAMING_SNAKE_CASE_) == 0:
     # Convert sentence piece unk token to fairseq unk token index
     return self.unk_token_id
   return self.fairseq_offset + self.sp_model.PieceToId(SCREAMING_SNAKE_CASE_)


 def   lowercase__  (       self       ,	SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   if index in self.fairseq_ids_to_tokens:
     return self.fairseq_ids_to_tokens[index]
   return self.sp_model.IdToPiece(index - self.fairseq_offset)


 def   lowercase__  (       self       ,	SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   lowercase__	: Tuple     		=   []
   lowercase__	: Optional[Any]     		=   """"""
   lowercase__	: List[Any]     		=   False
   for token in tokens:
     # make sure that special tokens are not decoded using sentencepiece model
     if token in self.all_special_tokens:
       if not prev_is_special:
         out_string += " "
       out_string += self.sp_model.decode(SCREAMING_SNAKE_CASE_) + token
       lowercase__	: List[str]     		=   True
       lowercase__	: List[Any]     		=   []
     else:
       current_sub_tokens.append(SCREAMING_SNAKE_CASE_)
       lowercase__	: Optional[int]     		=   False
   out_string += self.sp_model.decode(SCREAMING_SNAKE_CASE_)
   return out_string.strip()


 def __getstate__(       self):


   '''simple docstring'''




   lowercase__	: List[str]     		=   self.__dict__.copy()
   lowercase__	: int     		=   None
   return state


 def __setstate__(       self       ,	SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   lowercase__	: Optional[int]     		=   d

   # for backward compatibility
   if not hasattr(self       ,	"""sp_model_kwargs"""):
     lowercase__	: Union[str, Any]     		=   {}

   lowercase__	: Optional[int]     		=   spm.SentencePieceProcessor(**self.sp_model_kwargs)
   self.sp_model.Load(self.vocab_file)



 def   lowercase__  (       self       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_ = None):


   '''simple docstring'''




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

   if os.path.abspath(self.vocab_file) != os.path.abspath(SCREAMING_SNAKE_CASE_) and os.path.isfile(self.vocab_file):
     copyfile(self.vocab_file       ,	SCREAMING_SNAKE_CASE_)
   elif not os.path.isfile(self.vocab_file):
     with open(SCREAMING_SNAKE_CASE_       ,	"""wb""") as fi:
       lowercase__	: Tuple     		=   self.sp_model.serialized_model_proto()
       fi.write(SCREAMING_SNAKE_CASE_)

   return (out_vocab_file,)








import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english



@require_tokenizers
class    _snake_case (						UpperCAmelCase_	,    unittest.TestCase				):
 __lowerCAmelCase	:  Union[str, Any]	   =      RoCBertTokenizer
 __lowerCAmelCase	:  Union[str, Any]	   =      None
 __lowerCAmelCase	:  str	   =      False
 __lowerCAmelCase	:  List[Any]	   =      True
 __lowerCAmelCase	:  Optional[int]	   =      filter_non_english


 def   lowercase__  (       self):


   '''simple docstring'''




   super().setUp()

   lowercase__	: Optional[int]     		=   ["""[UNK]""", """[CLS]""", """[SEP]""", """[PAD]""", """[MASK]""", """你""", """好""", """是""", """谁""", """a""", """b""", """c""", """d"""]
   lowercase__	: Dict     		=   {}
   lowercase__	: Tuple     		=   {}
   for i, value in enumerate(SCREAMING_SNAKE_CASE_):
     lowercase__	: Tuple     		=   i
     lowercase__	: Any     		=   i
   lowercase__	: str     		=   os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES["""vocab_file"""])
   lowercase__	: Union[str, Any]     		=   os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES["""word_shape_file"""])
   lowercase__	: Tuple     		=   os.path.join(self.tmpdirname       ,	VOCAB_FILES_NAMES["""word_pronunciation_file"""])
   with open(self.vocab_file       ,	"""w"""       ,	encoding="""utf-8""") as vocab_writer:
     vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]))
   with open(self.word_shape_file       ,	"""w"""       ,	encoding="""utf-8""") as word_shape_writer:
     json.dump(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	ensure_ascii=SCREAMING_SNAKE_CASE_)
   with open(self.word_pronunciation_file       ,	"""w"""       ,	encoding="""utf-8""") as word_pronunciation_writer:
     json.dump(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	ensure_ascii=SCREAMING_SNAKE_CASE_)


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Dict     		=   self.tokenizer_class(self.vocab_file       ,	self.word_shape_file       ,	self.word_pronunciation_file)

   lowercase__	: Optional[int]     		=   tokenizer.tokenize("""你好[SEP]你是谁""")
   self.assertListEqual(SCREAMING_SNAKE_CASE_       ,	["""你""", """好""", """[SEP]""", """你""", """是""", """谁"""])
   self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_)       ,	[5, 6, 2, 5, 7, 8])
   self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(SCREAMING_SNAKE_CASE_)       ,	[5, 6, 2, 5, 7, 8])
   self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(SCREAMING_SNAKE_CASE_)       ,	[5, 6, 2, 5, 7, 8])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: int     		=   RoCBertBasicTokenizer()

   self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz""")       ,	["""ah""", """\u535A""", """\u63A8""", """zz"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Dict     		=   RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """)       ,	["""hello""", """!""", """how""", """are""", """you""", """?"""])
   self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""")       ,	["""hello"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Any     		=   RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_       ,	strip_accents=SCREAMING_SNAKE_CASE_)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """)       ,	["""hällo""", """!""", """how""", """are""", """you""", """?"""])
   self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""")       ,	["""h\u00E9llo"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Optional[Any]     		=   RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_       ,	strip_accents=SCREAMING_SNAKE_CASE_)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """)       ,	["""hallo""", """!""", """how""", """are""", """you""", """?"""])
   self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""")       ,	["""hello"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Optional[Any]     		=   RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """)       ,	["""hallo""", """!""", """how""", """are""", """you""", """?"""])
   self.assertListEqual(tokenizer.tokenize("""H\u00E9llo""")       ,	["""hello"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Union[str, Any]     		=   RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """)       ,	["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: str     		=   RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_       ,	strip_accents=SCREAMING_SNAKE_CASE_)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """)       ,	["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Tuple     		=   RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_       ,	strip_accents=SCREAMING_SNAKE_CASE_)

   self.assertListEqual(
       tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """)       ,	["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Dict     		=   RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE_       ,	never_split=["""[UNK]"""])

   self.assertListEqual(
       tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]""")       ,	["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Optional[int]     		=   ["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

   lowercase__	: Optional[int]     		=   {}
   for i, token in enumerate(SCREAMING_SNAKE_CASE_):
     lowercase__	: Optional[Any]     		=   i
   lowercase__	: Union[str, Any]     		=   RoCBertWordpieceTokenizer(vocab=SCREAMING_SNAKE_CASE_       ,	unk_token="""[UNK]""")

   self.assertListEqual(tokenizer.tokenize("""""")       ,	[])

   self.assertListEqual(tokenizer.tokenize("""unwanted running""")       ,	["""un""", """##want""", """##ed""", """runn""", """##ing"""])

   self.assertListEqual(tokenizer.tokenize("""unwantedX running""")       ,	["""[UNK]""", """runn""", """##ing"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   self.assertTrue(_is_whitespace(""" """))
   self.assertTrue(_is_whitespace("""\t"""))
   self.assertTrue(_is_whitespace("""\r"""))
   self.assertTrue(_is_whitespace("""\n"""))
   self.assertTrue(_is_whitespace("""\u00A0"""))

   self.assertFalse(_is_whitespace("""A"""))
   self.assertFalse(_is_whitespace("""-"""))


 def   lowercase__  (       self):


   '''simple docstring'''




   self.assertTrue(_is_control("""\u0005"""))

   self.assertFalse(_is_control("""A"""))
   self.assertFalse(_is_control(""" """))
   self.assertFalse(_is_control("""\t"""))
   self.assertFalse(_is_control("""\r"""))


 def   lowercase__  (       self):


   '''simple docstring'''




   self.assertTrue(_is_punctuation("""-"""))
   self.assertTrue(_is_punctuation("""$"""))
   self.assertTrue(_is_punctuation("""`"""))
   self.assertTrue(_is_punctuation("""."""))

   self.assertFalse(_is_punctuation("""A"""))
   self.assertFalse(_is_punctuation(""" """))


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Union[str, Any]     		=   self.get_tokenizer()

   # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
   self.assertListEqual([tokenizer.tokenize(SCREAMING_SNAKE_CASE_) for t in ["""Test""", """\xad""", """test"""]]       ,	[["""[UNK]"""], [], ["""[UNK]"""]])

   if self.test_rust_tokenizer:
     lowercase__	: int     		=   self.get_rust_tokenizer()
     self.assertListEqual(
         [rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE_) for t in ["""Test""", """\xad""", """test"""]]       ,	[["""[UNK]"""], [], ["""[UNK]"""]])


 def   lowercase__  (       self):


   '''simple docstring'''




   for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
     with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'):
       lowercase__	: str     		=   self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)

       lowercase__	: Optional[int]     		=   f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
       lowercase__	: List[str]     		=   tokenizer_r.encode_plus(
           SCREAMING_SNAKE_CASE_       ,	return_attention_mask=SCREAMING_SNAKE_CASE_       ,	return_token_type_ids=SCREAMING_SNAKE_CASE_       ,	return_offsets_mapping=SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_       ,	)

       lowercase__	: str     		=   tokenizer_r.do_lower_case if hasattr(SCREAMING_SNAKE_CASE_       ,	"""do_lower_case""") else False
       lowercase__	: Optional[Any]     		=   (
           [
               ((0, 0), tokenizer_r.cls_token),
               ((0, 1), """A"""),
               ((1, 2), ""","""),
               ((3, 5), """na"""),
               ((5, 6), """##ï"""),
               ((6, 8), """##ve"""),
               ((9, 15), tokenizer_r.mask_token),
               ((16, 21), """Allen"""),
               ((21, 23), """##NL"""),
               ((23, 24), """##P"""),
               ((25, 33), """sentence"""),
               ((33, 34), """."""),
               ((0, 0), tokenizer_r.sep_token),
           ]
           if not do_lower_case
           else [
               ((0, 0), tokenizer_r.cls_token),
               ((0, 1), """a"""),
               ((1, 2), ""","""),
               ((3, 8), """naive"""),
               ((9, 15), tokenizer_r.mask_token),
               ((16, 21), """allen"""),
               ((21, 23), """##nl"""),
               ((23, 24), """##p"""),
               ((25, 33), """sentence"""),
               ((33, 34), """."""),
               ((0, 0), tokenizer_r.sep_token),
           ]
       )

       self.assertEqual(
           [e[1] for e in expected_results]       ,	tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""]))
       self.assertEqual([e[0] for e in expected_results]       ,	tokens["""offset_mapping"""])


 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Any     		=   ["""的""", """人""", """有"""]
   lowercase__	: List[str]     		=   """""".join(SCREAMING_SNAKE_CASE_)
   for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
     with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'):
       lowercase__	: Union[str, Any]     		=   True
       lowercase__	: Tuple     		=   self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)
       lowercase__	: List[Any]     		=   self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)

       lowercase__	: Optional[Any]     		=   tokenizer_p.encode(SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)
       lowercase__	: str     		=   tokenizer_r.encode(SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)

       lowercase__	: List[str]     		=   tokenizer_r.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_)
       lowercase__	: List[str]     		=   tokenizer_p.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_)

       # it is expected that each Chinese character is not preceded by "##"
       self.assertListEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)
       self.assertListEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)

       lowercase__	: Any     		=   False
       lowercase__	: Optional[Any]     		=   self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)
       lowercase__	: Optional[Any]     		=   self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE_       ,	**SCREAMING_SNAKE_CASE_)

       lowercase__	: Optional[int]     		=   tokenizer_r.encode(SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)
       lowercase__	: Tuple     		=   tokenizer_p.encode(SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)

       lowercase__	: Tuple     		=   tokenizer_r.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_)
       lowercase__	: Optional[Any]     		=   tokenizer_p.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_)

       # it is expected that only the first Chinese character is not preceded by "##".
       lowercase__	: Any     		=   [
           f'##{token}' if idx != 0 else token for idx, token in enumerate(SCREAMING_SNAKE_CASE_)
       ]
       self.assertListEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)
       self.assertListEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)


 @slow
 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Dict     		=   self.tokenizer_class(self.vocab_file       ,	self.word_shape_file       ,	self.word_pronunciation_file)

   lowercase__	: Optional[Any]     		=   tokenizer.encode("""你好"""       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)
   lowercase__	: Any     		=   tokenizer.encode("""你是谁"""       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)

   lowercase__	: Optional[Any]     		=   tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_)
   lowercase__	: Tuple     		=   tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)

   assert encoded_sentence == [1] + text + [2]
   assert encoded_pair == [1] + text + [2] + text_a + [2]



 def   lowercase__  (       self):


   '''simple docstring'''




   lowercase__	: Optional[int]     		=   self.get_tokenizers(do_lower_case=SCREAMING_SNAKE_CASE_)
   for tokenizer in tokenizers:
     with self.subTest(f'{tokenizer.__class__.__name__}'):
       lowercase__	: Optional[int]     		=   """你好，你是谁"""
       lowercase__	: List[Any]     		=   tokenizer.tokenize(SCREAMING_SNAKE_CASE_)
       lowercase__	: Union[str, Any]     		=   tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_)
       lowercase__	: Tuple     		=   tokenizer.convert_tokens_to_shape_ids(SCREAMING_SNAKE_CASE_)
       lowercase__	: List[str]     		=   tokenizer.convert_tokens_to_pronunciation_ids(SCREAMING_SNAKE_CASE_)
       lowercase__	: Any     		=   tokenizer.prepare_for_model(
           SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)

       lowercase__	: Dict     		=   tokenizer.encode_plus(SCREAMING_SNAKE_CASE_       ,	add_special_tokens=SCREAMING_SNAKE_CASE_)

       self.assertEqual(SCREAMING_SNAKE_CASE_       ,	SCREAMING_SNAKE_CASE_)






