





"""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


__magic_name__					:				Dict	= logging.get_logger(__name__)

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

__magic_name__					:				List[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""",
    },
}

__magic_name__					:				List[Any]	= {
    """microsoft/mpnet-base""": 5_1_2,
}

__magic_name__					:				Optional[Any]	= {
    """microsoft/mpnet-base""": {"""do_lower_case""": True},
}






class        lowercase__ (      __SCREAMING_SNAKE_CASE  ):

			"""simple docstring"""
			__lowerCAmelCase    :							Tuple								=     VOCAB_FILES_NAMES
			__lowerCAmelCase    :							List[Any]								=     PRETRAINED_VOCAB_FILES_MAP
			__lowerCAmelCase    :							Optional[int]								=     PRETRAINED_INIT_CONFIGURATION
			__lowerCAmelCase    :							List[Any]								=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__lowerCAmelCase    :							Dict								=     MPNetTokenizer
			__lowerCAmelCase    :							List[str]								=     ["""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	,      ):






									'''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							:		str							      = 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							:		Optional[Any]							      = getattr(_A	,      pre_tok_state.pop("""type"""						)						)
															UpperCamelCase							:		List[str]							      = do_lower_case
															UpperCamelCase							:		int							      = strip_accents
															UpperCamelCase							:		Union[str, Any]							      = pre_tok_class(**_A						)

									UpperCamelCase							:		Union[str, Any]							      = do_lower_case







			@property
			def      _a			(			self						):






									'''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      _a			(			self	,      _A						):






									'''simple docstring'''







									UpperCamelCase							:		Tuple							      = AddedToken(_A	,      lstrip=_A	,      rstrip=_A						) if isinstance(_A	,      _A						) else value
									UpperCamelCase							:		str							      = value







			def      _a			(			self	,      _A	,      _A=None						):






									'''simple docstring'''







									UpperCamelCase							:		Union[str, Any]							      = [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      _a			(			self	,      _A	,      _A = None						):






									'''simple docstring'''







									UpperCamelCase							:		Any							      = [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      _a			(			self	,      _A	,      _A = None						):






									'''simple docstring'''







									UpperCamelCase							:		Optional[int]							      = self._tokenizer.model.save(_A	,      name=_A						)
									return tuple(_A						)










"""simple docstring"""


def     UpperCamelCase       (SCREAMING_SNAKE_CASE       ,    SCREAMING_SNAKE_CASE    ):
						UpperCamelCase							:		int							      = len(SCREAMING_SNAKE_CASE    )
						UpperCamelCase							:		int							      = len(SCREAMING_SNAKE_CASE    )
						UpperCamelCase							:		int							      = (
						    first_input_list_length
						    if first_input_list_length > second_input_list_length
						    else second_input_list_length
						)
						UpperCamelCase							:		list							      = []
						for char_count in range(SCREAMING_SNAKE_CASE    ):
												if char_count < first_input_list_length:
																		output_result_list.append(first_input_list[char_count]    )
												if char_count < second_input_list_length:
																		output_result_list.append(second_input_list[char_count]    )

						return output_result_list


if __name__ == "__main__":
		print(alternative_list_arrange(["""A""", """B""", """C"""], [1, 2, 3, 4, 5]), end=""" """)



