





"""simple docstring"""




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		:				str  			=     logging.get_logger(__name__)

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

a		:				Tuple  			=     {
    '''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		:				int  			=     {
    '''squeezebert/squeezebert-uncased''': 512,
    '''squeezebert/squeezebert-mnli''': 512,
    '''squeezebert/squeezebert-mnli-headless''': 512,
}


a		:				List[Any]  			=     {
    '''squeezebert/squeezebert-uncased''': {'''do_lower_case''': True},
    '''squeezebert/squeezebert-mnli''': {'''do_lower_case''': True},
    '''squeezebert/squeezebert-mnli-headless''': {'''do_lower_case''': True},
}


class  __UpperCamelCase       (		_lowercase		):
							lowerCamelCase     :      List[Any]         =VOCAB_FILES_NAMES
							lowerCamelCase     :      Tuple         =PRETRAINED_VOCAB_FILES_MAP
							lowerCamelCase     :      str         =PRETRAINED_INIT_CONFIGURATION
							lowerCamelCase     :      Tuple         =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCamelCase     :      List[str]         =SqueezeBertTokenizer






							def __init__(     self   ,      lowerCAmelCase__=None   ,      lowerCAmelCase__=None   ,      lowerCAmelCase__=True   ,      lowerCAmelCase__="[UNK]"   ,      lowerCAmelCase__="[SEP]"   ,      lowerCAmelCase__="[PAD]"   ,      lowerCAmelCase__="[CLS]"   ,      lowerCAmelCase__="[MASK]"   ,      lowerCAmelCase__=True   ,      lowerCAmelCase__=None   ,      **lowerCAmelCase__   ,      )			->				str:
								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_   ,      )

								a   :	List[str]			=       json.loads(self.backend_tokenizer.normalizer.__getstate__()   )
								if (
								    normalizer_state.get("lowercase"   ,      A_   ) != do_lower_case
								    or normalizer_state.get("strip_accents"   ,      A_   ) != strip_accents
								    or normalizer_state.get("handle_chinese_chars"   ,      A_   ) != tokenize_chinese_chars
								):
									a   :	Tuple			=       getattr(A_   ,      normalizer_state.pop("type"   )   )
									a   :	Optional[int]			=       do_lower_case
									a   :	Tuple			=       strip_accents
									a   :	List[Any]			=       tokenize_chinese_chars
									a   :	List[Any]			=       normalizer_class(**A_   )

								a   :	str			=       do_lower_case






							def 					__a     (     self   ,      lowerCAmelCase__   ,      lowerCAmelCase__=None   )			->				Any:
								a   :	Optional[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 					__a     (     self   ,      lowerCAmelCase__   ,      lowerCAmelCase__ = None   )			->				List[int]:
								a   :	Tuple			=       [self.sep_token_id]
								a   :	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 					__a     (     self   ,      lowerCAmelCase__   ,      lowerCAmelCase__ = None   )			->				Tuple[str]:
								a   :	List[Any]			=       self._tokenizer.model.save(A_   ,      name=A_   )
								return tuple(A_   )









"""simple docstring"""




def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					int = 10					, _lowercase		:					int = 1000					, _lowercase		:					bool = True      )				->int:






	'''simple docstring'''






	assert (
	    isinstance(_lowercase					, _lowercase      )
	    and isinstance(_lowercase					, _lowercase      )
	    and isinstance(_lowercase					, _lowercase      )
	), "Invalid type of value(s) specified to function!"

	if min_val > max_val:
		raise ValueError("Invalid value for min_val or max_val (min_value < max_value)"      )
	return min_val if option else max_val






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					int					, _lowercase		:					int      )				->int:






	'''simple docstring'''






	return int((number_a + number_a) / 2      )






def    _SCREAMING_SNAKE_CASE	(			_lowercase		:					int					, _lowercase		:					int					, _lowercase		:					int      )				->None:






	'''simple docstring'''






	assert (
	    isinstance(_lowercase					, _lowercase      ) and isinstance(_lowercase					, _lowercase      ) and isinstance(_lowercase					, _lowercase      )
	), 'argument values must be type of "int"'

	if lower > higher:
		raise ValueError("argument value for lower and higher must be(lower > higher)"      )

	if not lower < to_guess < higher:
		raise ValueError(
		    "guess value must be within the range of lower and higher value"      )

	def answer(_lowercase		:					int      ) -> str:
		if number > to_guess:
			return "high"
		elif number < to_guess:
			return "low"
		else:
			return "same"

	print("started..."      )

	a   :	Optional[Any]			=       lower
	a   :	List[Any]			=       higher

	a   :	Tuple			=       []

	while True:
		a   :	List[Any]			=       get_avg(_lowercase					, _lowercase      )
		last_numbers.append(_lowercase      )

		if answer(_lowercase      ) == "low":
			a   :	Optional[int]			=       number
		elif answer(_lowercase      ) == "high":
			a   :	Tuple			=       number
		else:
			break

	print(F"""guess the number : {last_numbers[-1]}"""      )
	print(F"""details : {last_numbers!s}"""      )






def    _SCREAMING_SNAKE_CASE	(			)				->None:






	'''simple docstring'''






	a   :	Tuple			=       int(input("Enter lower value : "      ).strip()      )
	a   :	Dict			=       int(input("Enter high value : "      ).strip()      )
	a   :	Optional[int]			=       int(input("Enter value to guess : "      ).strip()      )
	guess_the_number(_lowercase					, _lowercase					, _lowercase      )


if __name__ == "__main__":
		main()


