

"""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"""






from __future__ import annotations
def       UpperCamelCase					(			_lowerCAmelCase     :						list,  _lowerCAmelCase     :						list )				->			list:
	_UpperCAmelCase    :							List[Any]									=					[None] * (len(_lowerCAmelCase ) + len(_lowerCAmelCase ))

	_UpperCAmelCase    :							Union[str, Any]									=					0  # pointer to current index for left Half
	_UpperCAmelCase    :							str									=					0  # pointer to current index for the right Half
	_UpperCAmelCase    :							Optional[int]									=					0  # pointer to current index for the sorted array Half

	while pointera < len(_lowerCAmelCase ) and pointera < len(_lowerCAmelCase ):
		if left_half[pointera] < right_half[pointera]:
			_UpperCAmelCase    :							Tuple									=					left_half[pointera]
			pointera += 1
			index += 1
		else:
			_UpperCAmelCase    :							int									=					right_half[pointera]
			pointera += 1
			index += 1
	while pointera < len(_lowerCAmelCase ):
		_UpperCAmelCase    :							Tuple									=					left_half[pointera]
		pointera += 1
		index += 1

	while pointera < len(_lowerCAmelCase ):
		_UpperCAmelCase    :							Union[str, Any]									=					right_half[pointera]
		pointera += 1
		index += 1

	return sorted_array
def       UpperCamelCase					(			_lowerCAmelCase     :						list )				->			list:
	if len(_lowerCAmelCase ) <= 1:
		return array
	# the actual formula to calculate the middle element = left + (right - left) // 2
	# this avoids integer overflow in case of large N
	_UpperCAmelCase    :							Any									=					0 + (len(_lowerCAmelCase ) - 0) // 2

	# Split the array into halves till the array length becomes equal to One
	# merge the arrays of single length returned by mergeSort function and
	# pass them into the merge arrays function which merges the array
	_UpperCAmelCase    :							Optional[Any]									=					array[:middle]
	_UpperCAmelCase    :							Optional[int]									=					array[middle:]

	return merge(merge_sort(_lowerCAmelCase ),  merge_sort(_lowerCAmelCase ) )


if __name__ == "__main__":
						import doctest

						doctest.testmod()





