
'''simple docstring'''


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


__lowercase							:   List[str]					=     logging.get_logger(__name__)

__lowercase							:   Any					=     {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

__lowercase							:   Optional[int]					=     {
    '''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'''
        ),
    }
}

__lowercase							:   List[str]					=     {
    '''junnyu/roformer_chinese_small''': 1536,
    '''junnyu/roformer_chinese_base''': 1536,
    '''junnyu/roformer_chinese_char_small''': 512,
    '''junnyu/roformer_chinese_char_base''': 512,
    '''junnyu/roformer_small_discriminator''': 128,
    '''junnyu/roformer_small_generator''': 128,
}


__lowercase							:   Union[str, Any]					=     {
    '''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 	__lowercase				(  _lowercase    ):
			lowerCamelCase			:		Tuple	      =			VOCAB_FILES_NAMES
			lowerCamelCase			:		Union[str, Any]	      =			PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase			:		str	      =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCamelCase			:		str	      =			PRETRAINED_INIT_CONFIGURATION
			lowerCamelCase			:		Any	      =			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			,   )

								lowerCamelCase_					:      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
								):
													lowerCamelCase_					:      Optional[Any]     =		getattr(A			,   pre_tok_state.pop('''type'''      )      )
													lowerCamelCase_					:      Tuple     =		do_lower_case
													lowerCamelCase_					:      Union[str, Any]     =		strip_accents
													lowerCamelCase_					:      Union[str, Any]     =		pre_tok_class(**A      )

								lowerCamelCase_					:      List[Any]     =		do_lower_case

			def __getstate__(self      ):
								lowerCamelCase_					:      str     =		self.__dict__.copy()
								lowerCamelCase_					:      str     =		BertPreTokenizer()
								return state

			def __setstate__(self			,   A      ):
								lowerCamelCase_					:      Union[str, Any]     =		d
								lowerCamelCase_					:      str     =		self.__dict__['''_tokenizer'''].get_vocab()
								lowerCamelCase_					:      Any     =		PreTokenizer.custom(JiebaPreTokenizer(A      )      )

			def        UpperCAmelCase__ (self			,   A			,   A=None      ):
								lowerCamelCase_					:      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        UpperCAmelCase__ (self			,   A			,   A = None      ):
								lowerCamelCase_					:      List[str]     =		[self.sep_token_id]
								lowerCamelCase_					:      Union[str, 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        UpperCAmelCase__ (self			,   A			,   A = None      ):
								lowerCamelCase_					:      str     =		self._tokenizer.model.save(A			,   name=A      )
								return tuple(A      )






			def        UpperCAmelCase__ (self			,   A			,   A=None			,   A=None			,   A=False			,   **A			,   ):
								lowerCamelCase_					:      Optional[Any]     =		BertPreTokenizer()
								return super().save_pretrained(A			,   A			,   A			,   A			,   **A      )




'''simple docstring'''


import os
from math import logaa




def lowercase_	(   _lowercase = "base_exp.txt"				)     ->							int:
					'''simple docstring'''

					lowerCamelCase_					:      float     =		0
					lowerCamelCase_					:      Dict     =		0
					for i, line in enumerate(open(os.path.join(os.path.dirname(_lowercase				)			,       _lowercase				)				)				):
										lowerCamelCase_,      lowerCamelCase_					:      Dict     =		list(map(_lowercase			,       line.split(''','''				)				)				)
										if x * logaa(_lowercase				) > largest:
															lowerCamelCase_					:      List[str]     =		x * logaa(_lowercase				)
															lowerCamelCase_					:      Union[str, Any]     =		i + 1
					return result


if __name__ == "__main__":
					print(solution())


