

"""simple docstring"""






import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


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

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

lowerCamelCase__				:  Optional[Any]													=  {
    '''vocab_file''': {
        '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt''',
    },
    '''tokenizer_file''': {
        '''microsoft/mpnet-base''': '''https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json''',
    },
}

lowerCamelCase__				:  Dict													=  {
    '''microsoft/mpnet-base''': 5_12,
}

lowerCamelCase__				:  str													=  {
    '''microsoft/mpnet-base''': {'''do_lower_case''': True},
}






class     _UpperCAmelCase			(		__a):
			__a :       Optional[Any]									=							VOCAB_FILES_NAMES
			__a :       int									=							PRETRAINED_VOCAB_FILES_MAP
			__a :       Optional[Any]									=							PRETRAINED_INIT_CONFIGURATION
			__a :       List[str]									=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__a :       List[Any]									=							MPNetTokenizer
			__a :       Union[str, Any]									=							["""input_ids""", """attention_mask"""]
			def __init__(		self      ,		_A=None      ,		_A=None      ,		_A=True      ,		_A="<s>"      ,		_A="</s>"      ,		_A="</s>"      ,		_A="<s>"      ,		_A="[UNK]"      ,		_A="<pad>"      ,		_A="<mask>"      ,		_A=True      ,		_A=None      ,		**_A      ,		)    ->    List[Any]:






				'''simple docstring'''







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

				_UpperCAmelCase    :							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    :							Tuple									=					getattr(_A      ,		pre_tok_state.pop("""type"""     )     )
					_UpperCAmelCase    :							Union[str, Any]									=					do_lower_case
					_UpperCAmelCase    :							List[Any]									=					strip_accents
					_UpperCAmelCase    :							List[str]									=					pre_tok_class(**_A     )

				_UpperCAmelCase    :							Dict									=					do_lower_case
			@property
			def 							__snake_case (		self     )    ->    str:






				'''simple docstring'''







				if self._mask_token is None:
					if self.verbose:
						logger.error("""Using mask_token, but it is not set yet."""     )
					return None
				return str(self._mask_token     )
			@mask_token.setter
			def 							__snake_case (		self      ,		_A     )    ->    List[str]:






				'''simple docstring'''







				_UpperCAmelCase    :							Tuple									=					AddedToken(_A      ,		lstrip=_A      ,		rstrip=_A     ) if isinstance(_A      ,		_A     ) else value
				_UpperCAmelCase    :							Dict									=					value
			def 							__snake_case (		self      ,		_A      ,		_A=None     )    ->    Optional[Any]:






				'''simple docstring'''







				_UpperCAmelCase    :							Dict									=					[self.bos_token_id] + token_ids_a + [self.eos_token_id]
				if token_ids_a is None:
					return output

				return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]
			def 							__snake_case (		self      ,		_A      ,		_A = None     )    ->    List[int]:






				'''simple docstring'''







				_UpperCAmelCase    :							str									=					[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 + sep + token_ids_a + sep     ) * [0]
			def 							__snake_case (		self      ,		_A      ,		_A = None     )    ->    Tuple[str]:






				'''simple docstring'''







				_UpperCAmelCase    :							int									=					self._tokenizer.model.save(_A      ,		name=_A     )
				return tuple(_A     )








"""simple docstring"""






def       UpperCamelCase					(			_lowerCAmelCase     :						int,  _lowerCAmelCase     :						int = 1000 )				->			str:
	if (not isinstance(_lowerCAmelCase,  _lowerCAmelCase )) or (digit_position <= 0):
		raise ValueError("""Digit position must be a positive integer""" )
	elif (not isinstance(_lowerCAmelCase,  _lowerCAmelCase )) or (precision < 0):
		raise ValueError("""Precision must be a nonnegative integer""" )

	# compute an approximation of (16 ** (n - 1)) * pi whose fractional part is mostly
	# accurate
	_UpperCAmelCase    :							List[Any]									=					(
	    4 * _subsum(_lowerCAmelCase,  1,  _lowerCAmelCase )
	    - 2 * _subsum(_lowerCAmelCase,  4,  _lowerCAmelCase )
	    - _subsum(_lowerCAmelCase,  5,  _lowerCAmelCase )
	    - _subsum(_lowerCAmelCase,  6,  _lowerCAmelCase )
	)

	# return the first hex digit of the fractional part of the result
	return hex(int((sum_result % 1) * 16 ) )[2:]
def       UpperCamelCase					(			_lowerCAmelCase     :						int,  _lowerCAmelCase     :						int,  _lowerCAmelCase     :						int )				->			float:
	_UpperCAmelCase    :							Optional[int]									=					0.0
	for sum_index in range(digit_pos_to_extract + precision ):
		_UpperCAmelCase    :							Optional[Any]									=					8 * sum_index + denominator_addend
		if sum_index < digit_pos_to_extract:
			# if the exponential term is an integer and we mod it by the denominator
			# before dividing, only the integer part of the sum will change;
			# the fractional part will not
			_UpperCAmelCase    :							Optional[Any]									=					pow(
			    16,  digit_pos_to_extract - 1 - sum_index,  _lowerCAmelCase )
		else:
			_UpperCAmelCase    :							int									=					pow(16,  digit_pos_to_extract - 1 - sum_index )
		total += exponential_term / denominator
	return total


if __name__ == "__main__":
						import doctest

						doctest.testmod()





