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


SCREAMING_SNAKE_CASE									=						logging.get_logger(__name__)


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

# See all MVP models at https://huggingface.co/models?filter=mvp
SCREAMING_SNAKE_CASE									=						{
    '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',
    },
}

SCREAMING_SNAKE_CASE									=						{
    'RUCAIBox/mvp': 1024,
}



class  _lowerCamelCase			(__lowerCamelCase     ):
				_snake_case     =  VOCAB_FILES_NAMES
				_snake_case     =  PRETRAINED_VOCAB_FILES_MAP
				_snake_case     =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				_snake_case     =  ["input_ids", "attention_mask"]
				_snake_case     =  MvpTokenizer







				def __init__( self    :       Optional[int]			,					lowerCamelCase_    :       Optional[Any]=None			,					lowerCamelCase_    :       Any=None			,					lowerCamelCase_    :       List[Any]=None			,					lowerCamelCase_    :       List[str]="replace"			,					lowerCamelCase_    :       List[Any]="<s>"			,					lowerCamelCase_    :       Tuple="</s>"			,					lowerCamelCase_    :       int="</s>"			,					lowerCamelCase_    :       Optional[Any]="<s>"			,					lowerCamelCase_    :       List[Any]="<unk>"			,					lowerCamelCase_    :       Union[str, Any]="<pad>"			,					lowerCamelCase_    :       Optional[Any]="<mask>"			,					lowerCamelCase_    :       Union[str, Any]=False			,					lowerCamelCase_    :       Tuple=True			,					**lowerCamelCase_    :       int			,					):

					"""simple docstring"""






					super().__init__(
					    lowerCamelCase_			,					lowerCamelCase_			,					tokenizer_file=lowerCamelCase_			,					errors=lowerCamelCase_			,					bos_token=lowerCamelCase_			,					eos_token=lowerCamelCase_			,					sep_token=lowerCamelCase_			,					cls_token=lowerCamelCase_			,					unk_token=lowerCamelCase_			,					pad_token=lowerCamelCase_			,					mask_token=lowerCamelCase_			,					add_prefix_space=lowerCamelCase_			,					trim_offsets=lowerCamelCase_			,					**lowerCamelCase_			,					)

					_lowercase :    int							=							json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()						)
					if pre_tok_state.get('add_prefix_space'			,					lowerCamelCase_						) != add_prefix_space:
						_lowercase :    Union[str, Any]							=							getattr(lowerCamelCase_			,					pre_tok_state.pop('type'						)						)
						_lowercase :    Any							=							add_prefix_space
						_lowercase :    Optional[Any]							=							pre_tok_class(**lowerCamelCase_						)

					_lowercase :    int							=							add_prefix_space

					# the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
					_lowercase :    int							=							'post_processor'
					_lowercase :    List[str]							=							getattr(self.backend_tokenizer			,					lowerCamelCase_			,					lowerCamelCase_						)
					if tokenizer_component_instance:
						_lowercase :    str							=							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:
							_lowercase :    Any							=							tuple(state['sep']						)
						if "cls" in state:
							_lowercase :    Optional[int]							=							tuple(state['cls']						)

						_lowercase :    Tuple							=							False

						if state.get('add_prefix_space'			,					lowerCamelCase_						) != add_prefix_space:
							_lowercase :    str							=							add_prefix_space
							_lowercase :    str							=							True

						if state.get('trim_offsets'			,					lowerCamelCase_						) != trim_offsets:
							_lowercase :    Optional[Any]							=							trim_offsets
							_lowercase :    Optional[int]							=							True

						if changes_to_apply:
							_lowercase :    Optional[int]							=							getattr(lowerCamelCase_			,					state.pop('type'						)						)
							_lowercase :    List[str]							=							component_class(**lowerCamelCase_						)
							setattr(self.backend_tokenizer			,					lowerCamelCase_			,					lowerCamelCase_						)







				@property
				def 							__UpperCAmelCase					( self    :       Optional[int]						):

					"""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 							__UpperCAmelCase					( self    :       List[Any]			,					lowerCamelCase_    :       Any						):

					"""simple docstring"""






					_lowercase :    Dict							=							AddedToken(lowerCamelCase_			,					lstrip=lowerCamelCase_			,					rstrip=lowerCamelCase_						) if isinstance(lowerCamelCase_			,					lowerCamelCase_						) else value
					_lowercase :    Any							=							value







				def 							__UpperCAmelCase					( self    :       List[str]			,					*lowerCamelCase_    :       Optional[int]			,					**lowerCamelCase_    :       Dict						):

					"""simple docstring"""






					_lowercase :    Tuple							=							kwargs.get('is_split_into_words'			,					lowerCamelCase_						)

					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(*lowerCamelCase_			,					**lowerCamelCase_						)







				def 							__UpperCAmelCase					( self    :       Optional[Any]			,					*lowerCamelCase_    :       Tuple			,					**lowerCamelCase_    :       Any						):

					"""simple docstring"""






					_lowercase :    int							=							kwargs.get('is_split_into_words'			,					lowerCamelCase_						)

					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(*lowerCamelCase_			,					**lowerCamelCase_						)







				def 							__UpperCAmelCase					( self    :       int			,					lowerCamelCase_    :       str			,					lowerCamelCase_    :       Optional[str] = None						):

					"""simple docstring"""






					_lowercase :    Tuple							=							self._tokenizer.model.save(lowerCamelCase_			,					name=lowerCamelCase_						)
					return tuple(lowerCamelCase_						)







				def 							__UpperCAmelCase					( self    :       Optional[int]			,					lowerCamelCase_    :       Tuple			,					lowerCamelCase_    :       Dict=None						):

					"""simple docstring"""






					_lowercase :    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 							__UpperCAmelCase					( self    :       int			,					lowerCamelCase_    :       List[int]			,					lowerCamelCase_    :       Optional[List[int]] = None						):

					"""simple docstring"""






					_lowercase :    Optional[Any]							=							[self.sep_token_id]
					_lowercase :    int							=							[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]




"""simple docstring"""







def      __lowerCAmelCase(		__UpperCAmelCase     ,__UpperCAmelCase			):






	"""simple docstring"""





	_lowercase :    Any							=							len(__UpperCAmelCase			)
	_lowercase :    Any							=							len(__UpperCAmelCase			)
	_lowercase :    List[Any]							=							[[False for _ in range(m + 1			)] for _ in range(n + 1			)]
	_lowercase :    Union[str, Any]							=							True
	for i in range(__UpperCAmelCase			):
		for j in range(m + 1			):
			if dp[i][j]:
				if j < m and a[i].upper() == b[j]:
					_lowercase :    Optional[int]							=							True
				if a[i].islower():
					_lowercase :    Union[str, Any]							=							True
	return dp[n][m]


if __name__ == "__main__":
						import doctest

						doctest.testmod()



