
import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mvp import MvpTokenizer


lowercase   =	logging.get_logger(__name__)


lowercase   =	{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

# See all MVP models at https://huggingface.co/models?filter=mvp
lowercase   =	{
    '''vocab_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json''',
    },
    '''added_tokens.json''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json''',
    },
    '''merges_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/tokenizer.json''',
    },
}

lowercase   =	{
    '''RUCAIBox/mvp''': 1_0_2_4,
}





class    __A(					UpperCAmelCase							):
					SCREAMING_SNAKE_CASE           =     VOCAB_FILES_NAMES
					SCREAMING_SNAKE_CASE           =     PRETRAINED_VOCAB_FILES_MAP
					SCREAMING_SNAKE_CASE           =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					SCREAMING_SNAKE_CASE           =     ['''input_ids''', '''attention_mask''']
					SCREAMING_SNAKE_CASE           =     MvpTokenizer

					def __init__(						self       :  List[str] ,       __UpperCamelCase       :  Dict=None ,       __UpperCamelCase       :  Optional[int]=None ,       __UpperCamelCase       :  Optional[int]=None ,       __UpperCamelCase       :  Any="replace" ,       __UpperCamelCase       :  str="<s>" ,       __UpperCamelCase       :  Tuple="</s>" ,       __UpperCamelCase       :  Optional[int]="</s>" ,       __UpperCamelCase       :  Optional[int]="<s>" ,       __UpperCamelCase       :  List[str]="<unk>" ,       __UpperCamelCase       :  Union[str, Any]="<pad>" ,       __UpperCamelCase       :  Optional[int]="<mask>" ,       __UpperCamelCase       :  str=False ,       __UpperCamelCase       :  Any=True ,       **__UpperCamelCase       :  Optional[int] ,       ):
												super().__init__(
												    __UpperCamelCase ,       __UpperCamelCase ,       tokenizer_file=__UpperCamelCase ,       errors=__UpperCamelCase ,       bos_token=__UpperCamelCase ,       eos_token=__UpperCamelCase ,       sep_token=__UpperCamelCase ,       cls_token=__UpperCamelCase ,       unk_token=__UpperCamelCase ,       pad_token=__UpperCamelCase ,       mask_token=__UpperCamelCase ,       add_prefix_space=__UpperCamelCase ,       trim_offsets=__UpperCamelCase ,       **__UpperCamelCase ,       )

												lowerCamelCase_					=       json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__() )
												if pre_tok_state.get("""add_prefix_space""" ,       __UpperCamelCase ) != add_prefix_space:
																			lowerCamelCase_					=       getattr(__UpperCamelCase ,       pre_tok_state.pop("""type""" ) )
																			lowerCamelCase_					=       add_prefix_space
																			lowerCamelCase_					=       pre_tok_class(**__UpperCamelCase )

												lowerCamelCase_					=       add_prefix_space

												# the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
												lowerCamelCase_					=       """post_processor"""
												lowerCamelCase_					=       getattr(self.backend_tokenizer ,       __UpperCamelCase ,       __UpperCamelCase )
												if tokenizer_component_instance:
																			lowerCamelCase_					=       json.loads(tokenizer_component_instance.__getstate__() )

																			# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
																			if "sep" in state:
																										lowerCamelCase_					=       tuple(state["""sep"""] )
																			if "cls" in state:
																										lowerCamelCase_					=       tuple(state["""cls"""] )

																			lowerCamelCase_					=       False

																			if state.get("""add_prefix_space""" ,       __UpperCamelCase ) != add_prefix_space:
																										lowerCamelCase_					=       add_prefix_space
																										lowerCamelCase_					=       True

																			if state.get("""trim_offsets""" ,       __UpperCamelCase ) != trim_offsets:
																										lowerCamelCase_					=       trim_offsets
																										lowerCamelCase_					=       True

																			if changes_to_apply:
																										lowerCamelCase_					=       getattr(__UpperCamelCase ,       state.pop("""type""" ) )
																										lowerCamelCase_					=       component_class(**__UpperCamelCase )
																										setattr(self.backend_tokenizer ,       __UpperCamelCase ,       __UpperCamelCase )

					@property
					def  lowercase__   (						self       :  Optional[int] ):
												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  lowercase__   (						self       :  Optional[int] ,       __UpperCamelCase       :  str ):
												lowerCamelCase_					=       AddedToken(__UpperCamelCase ,       lstrip=__UpperCamelCase ,       rstrip=__UpperCamelCase ) if isinstance(__UpperCamelCase ,       __UpperCamelCase ) else value
												lowerCamelCase_					=       value

					def  lowercase__   (						self       :  List[Any] ,       *__UpperCamelCase       :  Optional[int] ,       **__UpperCamelCase       :  Any ):
												lowerCamelCase_					=       kwargs.get("""is_split_into_words""" ,       __UpperCamelCase )

												if is_split_into_words and not self.add_prefix_space:
																			raise ValueError(
																			    F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
																			    """to use it with pretokenized inputs.""" )

												return super()._batch_encode_plus(*__UpperCamelCase ,       **__UpperCamelCase )

					def  lowercase__   (						self       :  Any ,       *__UpperCamelCase       :  List[str] ,       **__UpperCamelCase       :  int ):
												lowerCamelCase_					=       kwargs.get("""is_split_into_words""" ,       __UpperCamelCase )

												if is_split_into_words and not self.add_prefix_space:
																			raise ValueError(
																			    F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
																			    """to use it with pretokenized inputs.""" )

												return super()._encode_plus(*__UpperCamelCase ,       **__UpperCamelCase )

					def  lowercase__   (						self       :  Optional[int] ,       __UpperCamelCase       :  str ,       __UpperCamelCase       :  Optional[str] = None ):
												lowerCamelCase_					=       self._tokenizer.model.save(__UpperCamelCase ,       name=__UpperCamelCase )
												return tuple(__UpperCamelCase )

					def  lowercase__   (						self       :  str ,       __UpperCamelCase       :  Optional[int] ,       __UpperCamelCase       :  List[str]=None ):
												lowerCamelCase_					=       [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  lowercase__   (						self       :  Optional[int] ,       __UpperCamelCase       :  List[int] ,       __UpperCamelCase       :  Optional[List[int]] = None ):
												lowerCamelCase_					=       [self.sep_token_id]
												lowerCamelCase_					=       [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   __lowerCAmelCase    (				UpperCAmelCase__					:   int							)	->     int:

							if not isinstance(UpperCAmelCase__      ,					UpperCAmelCase__							):
														raise ValueError("""multiplicative_persistence() only accepts integral values"""							)
							if num < 0:
														raise ValueError("""multiplicative_persistence() does not accept negative values"""							)

							lowerCamelCase_					=       0
							lowerCamelCase_					=       str(UpperCAmelCase__							)

							while len(UpperCAmelCase__							) != 1:
														lowerCamelCase_					=       [int(UpperCAmelCase__							) for i in num_string]

														lowerCamelCase_					=       1
														for i in range(0      ,					len(UpperCAmelCase__							)							):
																					total *= numbers[i]

														lowerCamelCase_					=       str(UpperCAmelCase__							)

														steps += 1
							return steps



def   __lowerCAmelCase    (				UpperCAmelCase__					:   int							)	->     int:

							if not isinstance(UpperCAmelCase__      ,					UpperCAmelCase__							):
														raise ValueError("""additive_persistence() only accepts integral values"""							)
							if num < 0:
														raise ValueError("""additive_persistence() does not accept negative values"""							)

							lowerCamelCase_					=       0
							lowerCamelCase_					=       str(UpperCAmelCase__							)

							while len(UpperCAmelCase__							) != 1:
														lowerCamelCase_					=       [int(UpperCAmelCase__							) for i in num_string]

														lowerCamelCase_					=       0
														for i in range(0      ,					len(UpperCAmelCase__							)							):
																					total += numbers[i]

														lowerCamelCase_					=       str(UpperCAmelCase__							)

														steps += 1
							return steps


if __name__ == "__main__":
		import doctest

		doctest.testmod()





