


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


A    =       logging.get_logger(__name__)

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

A    =       {
    'vocab_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt'
        ),
        'squeezebert/squeezebert-mnli': 'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt',
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli': (
            'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json'
        ),
    },
}

A    =       {
    'squeezebert/squeezebert-uncased': 5_1_2,
    'squeezebert/squeezebert-mnli': 5_1_2,
    'squeezebert/squeezebert-mnli-headless': 5_1_2,
}


A    =       {
    'squeezebert/squeezebert-uncased': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli-headless': {'do_lower_case': True},
}



class 							A   (	UpperCAmelCase__							):
					'''simple docstring'''






					A__      =			VOCAB_FILES_NAMES
					A__      =			PRETRAINED_VOCAB_FILES_MAP
					A__      =			PRETRAINED_INIT_CONFIGURATION
					A__      =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					A__      =			SqueezeBertTokenizer

					def __init__(self   :						Optional[int]				, _UpperCAmelCase   :						Dict=None				, _UpperCAmelCase   :						int=None				, _UpperCAmelCase   :						int=True				, _UpperCAmelCase   :						str="[UNK]"				, _UpperCAmelCase   :						List[Any]="[SEP]"				, _UpperCAmelCase   :						int="[PAD]"				, _UpperCAmelCase   :						Optional[Any]="[CLS]"				, _UpperCAmelCase   :						Union[str, Any]="[MASK]"				, _UpperCAmelCase   :						Optional[Any]=True				, _UpperCAmelCase   :						List[str]=None				, **_UpperCAmelCase   :						int				, )						->       Any:




							"""simple docstring"""


							super().__init__(
							    _UpperCAmelCase				, tokenizer_file=_UpperCAmelCase				, do_lower_case=_UpperCAmelCase				, unk_token=_UpperCAmelCase				, sep_token=_UpperCAmelCase				, pad_token=_UpperCAmelCase				, cls_token=_UpperCAmelCase				, mask_token=_UpperCAmelCase				, tokenize_chinese_chars=_UpperCAmelCase				, strip_accents=_UpperCAmelCase				, **_UpperCAmelCase				, )

							lowercase__					      =		json.loads(self.backend_tokenizer.normalizer.__getstate__()		)
							if (
							    normalizer_state.get("""lowercase"""				, _UpperCAmelCase		) != do_lower_case
							    or normalizer_state.get("""strip_accents"""				, _UpperCAmelCase		) != strip_accents
							    or normalizer_state.get("""handle_chinese_chars"""				, _UpperCAmelCase		) != tokenize_chinese_chars
							):
									lowercase__					      =		getattr(_UpperCAmelCase				, normalizer_state.pop("""type"""		)		)
									lowercase__					      =		do_lower_case
									lowercase__					      =		strip_accents
									lowercase__					      =		tokenize_chinese_chars
									lowercase__					      =		normalizer_class(**_UpperCAmelCase		)

							lowercase__					      =		do_lower_case

					def   lowerCamelCase__					(self   :						Dict				, _UpperCAmelCase   :						List[str]				, _UpperCAmelCase   :						Union[str, Any]=None		)						->       int:




							"""simple docstring"""


							lowercase__					      =		[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   lowerCamelCase__					(self   :						Union[str, Any]				, _UpperCAmelCase   :						List[int]				, _UpperCAmelCase   :						Optional[List[int]] = None		)						->       List[int]:




							"""simple docstring"""


							lowercase__					      =		[self.sep_token_id]
							lowercase__					      =		[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   lowerCamelCase__					(self   :						Any				, _UpperCAmelCase   :						str				, _UpperCAmelCase   :						Optional[str] = None		)						->       Tuple[str]:




							"""simple docstring"""


							lowercase__					      =		self._tokenizer.model.save(_UpperCAmelCase				, name=_UpperCAmelCase		)
							return tuple(_UpperCAmelCase		)





def 			UpperCamelCase (     __magic_name__					:							str   ,   __magic_name__					:							str					)       ->  list:
		"""simple docstring"""




		lowercase__					      =		len(__magic_name__					)
		lowercase__					      =		[]
		for i in range(len(__magic_name__					) - pat_len + 1					):
				lowercase__					      =		True
				for j in range(__magic_name__					):
						if s[i + j] != pattern[j]:
								lowercase__					      =		False
								break
				if match_found:
						position.append(__magic_name__					)
		return position


if __name__ == "__main__":
	assert naive_pattern_search('ABCDEFG', 'DE') == [3]
	print(naive_pattern_search('ABAAABCDBBABCDDEBCABC', 'ABC'))

