


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers
from tokenizers.pre_tokenizers import BertPreTokenizer, PreTokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roformer import RoFormerTokenizer
from .tokenization_utils import JiebaPreTokenizer


SCREAMING_SNAKE_CASE__					:     Optional[Any]       =     logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__					:     List[Any]       =     {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

SCREAMING_SNAKE_CASE__					:     Dict       =     {
    'vocab_file': {
        'junnyu/roformer_chinese_small': 'https://huggingface.co/junnyu/roformer_chinese_small/resolve/main/vocab.txt',
        'junnyu/roformer_chinese_base': 'https://huggingface.co/junnyu/roformer_chinese_base/resolve/main/vocab.txt',
        'junnyu/roformer_chinese_char_small': (
            'https://huggingface.co/junnyu/roformer_chinese_char_small/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_chinese_char_base': (
            'https://huggingface.co/junnyu/roformer_chinese_char_base/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_small_discriminator': (
            'https://huggingface.co/junnyu/roformer_small_discriminator/resolve/main/vocab.txt'
        ),
        'junnyu/roformer_small_generator': (
            'https://huggingface.co/junnyu/roformer_small_generator/resolve/main/vocab.txt'
        ),
    }
}

SCREAMING_SNAKE_CASE__					:     Dict       =     {
    'junnyu/roformer_chinese_small': 1_536,
    'junnyu/roformer_chinese_base': 1_536,
    'junnyu/roformer_chinese_char_small': 512,
    'junnyu/roformer_chinese_char_base': 512,
    'junnyu/roformer_small_discriminator': 128,
    'junnyu/roformer_small_generator': 128,
}


SCREAMING_SNAKE_CASE__					:     Tuple       =     {
    'junnyu/roformer_chinese_small': {'do_lower_case': True},
    'junnyu/roformer_chinese_base': {'do_lower_case': True},
    'junnyu/roformer_chinese_char_small': {'do_lower_case': True},
    'junnyu/roformer_chinese_char_base': {'do_lower_case': True},
    'junnyu/roformer_small_discriminator': {'do_lower_case': True},
    'junnyu/roformer_small_generator': {'do_lower_case': True},
}


class 		_SCREAMING_SNAKE_CASE     (						A     ):
     __SCREAMING_SNAKE_CASE     					=    VOCAB_FILES_NAMES
     __SCREAMING_SNAKE_CASE     					=    PRETRAINED_VOCAB_FILES_MAP
     __SCREAMING_SNAKE_CASE     					=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __SCREAMING_SNAKE_CASE     					=    PRETRAINED_INIT_CONFIGURATION
     __SCREAMING_SNAKE_CASE     					=    RoFormerTokenizer


     def __init__(  self							,					A_=None							,					A_=None							,					A_=True							,					A_="[UNK]"							,					A_="[SEP]"							,					A_="[PAD]"							,					A_="[CLS]"							,					A_="[MASK]"							,					A_=True							,					A_=None							,					**A_							,					):
       super().__init__(
           A_							,					tokenizer_file=A_							,					do_lower_case=A_							,					unk_token=A_							,					sep_token=A_							,					pad_token=A_							,					cls_token=A_							,					mask_token=A_							,					tokenize_chinese_chars=A_							,					strip_accents=A_							,					**A_							,					)

       _UpperCAmelCase		:							List[Any]							=     json.loads(self.backend_tokenizer.normalizer.__getstate__()    )
       if (
           pre_tok_state.get("""lowercase"""							,					A_    ) != do_lower_case
           or pre_tok_state.get("""strip_accents"""							,					A_    ) != strip_accents
       ):
         _UpperCAmelCase		:							int							=     getattr(A_							,					pre_tok_state.pop("""type"""    )    )
         _UpperCAmelCase		:							Optional[Any]							=     do_lower_case
         _UpperCAmelCase		:							List[Any]							=     strip_accents
         _UpperCAmelCase		:							Optional[Any]							=     pre_tok_class(**A_    )

       _UpperCAmelCase		:							Union[str, Any]							=     do_lower_case


     def __getstate__(  self    ):
       _UpperCAmelCase		:							int							=     self.__dict__.copy()
       _UpperCAmelCase		:							int							=     BertPreTokenizer()
       return state


     def __setstate__(  self							,					A_    ):
       _UpperCAmelCase		:							Tuple							=     d
       _UpperCAmelCase		:							List[str]							=     self.__dict__["""_tokenizer"""].get_vocab()
       _UpperCAmelCase		:							Optional[int]							=     PreTokenizer.custom(JiebaPreTokenizer(A_    )    )


     def        __snake_case(  self							,					A_							,					A_=None    ):
       _UpperCAmelCase		:							int							=     [self.cls_token_id] + token_ids_a + [self.sep_token_id]

       if token_ids_a:
         output += token_ids_a + [self.sep_token_id]

       return output


     def        __snake_case(  self							,					A_							,					A_ = None    ):
       _UpperCAmelCase		:							Tuple							=     [self.sep_token_id]
       _UpperCAmelCase		:							Optional[Any]							=     [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    ) * [0] + len(token_ids_a + sep    ) * [1]


     def        __snake_case(  self							,					A_							,					A_ = None    ):
       _UpperCAmelCase		:							List[str]							=     self._tokenizer.model.save(A_							,					name=A_    )
       return tuple(A_    )




     def        __snake_case(  self							,					A_							,					A_=None							,					A_=None							,					A_=False							,					**A_							,					):
       _UpperCAmelCase		:							List[Any]							=     BertPreTokenizer()
       return super().save_pretrained(A_							,					A_							,					A_							,					A_							,					**A_    )









def    a__    (		snake_case__					:							int						,   snake_case__					:							int     ):
  return x if y == 0 else greatest_common_divisor(snake_case__						,   x % y     )




def    a__    (		snake_case__					:							int						,   snake_case__					:							int     ):
  return (x * y) // greatest_common_divisor(snake_case__						,   snake_case__     )




def    a__    (		snake_case__					:							int = 20     ):
  _UpperCAmelCase		:							Union[str, Any]							=     1
  for i in range(1						,   n + 1     ):
    _UpperCAmelCase		:							Dict							=     lcm(snake_case__						,   snake_case__     )
  return g


if __name__ == "__main__":
 print(F'{solution() = }')





