


"""simple docstring"""
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							:      List[str]						=      logging.get_logger(__name__)


__SCREAMING_SNAKE_CASE							:      Tuple						=      {'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							:      Optional[int]						=      {
    '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							:      Optional[Any]						=      {
    'RUCAIBox/mvp': 1_024,
}





class        __A       (snake_case__):





							'''simple docstring'''

							__lowercase:						Optional[Any]							 =      VOCAB_FILES_NAMES
							__lowercase:						List[str]							 =      PRETRAINED_VOCAB_FILES_MAP
							__lowercase:						str							 =      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__lowercase:						Dict							 =      ["""input_ids""", """attention_mask"""]
							__lowercase:						int							 =      MvpTokenizer



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



														"""simple docstring"""



														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_						,    )

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

														snake_case_          =						add_prefix_space

														# the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
														snake_case_          =						"""post_processor"""
														snake_case_          =						getattr(self.backend_tokenizer						,    UpperCAmelCase_						,    UpperCAmelCase_    )
														if tokenizer_component_instance:
																					snake_case_          =						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:
																												snake_case_          =						tuple(state["""sep"""]    )
																					if "cls" in state:
																												snake_case_          =						tuple(state["""cls"""]    )

																					snake_case_          =						False

																					if state.get("""add_prefix_space"""						,    UpperCAmelCase_    ) != add_prefix_space:
																												snake_case_          =						add_prefix_space
																												snake_case_          =						True

																					if state.get("""trim_offsets"""						,    UpperCAmelCase_    ) != trim_offsets:
																												snake_case_          =						trim_offsets
																												snake_case_          =						True

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



							@property
							def 						lowerCAmelCase    (			self							: Dict    )   ->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 						lowerCAmelCase    (			self							: str						,    UpperCAmelCase_							: str    )   ->Optional[Any]:



														"""simple docstring"""



														snake_case_          =						AddedToken(UpperCAmelCase_						,    lstrip=UpperCAmelCase_						,    rstrip=UpperCAmelCase_    ) if isinstance(UpperCAmelCase_						,    UpperCAmelCase_    ) else value
														snake_case_          =						value



							def 						lowerCAmelCase    (			self							: Optional[Any]						,    *UpperCAmelCase_							: int						,    **UpperCAmelCase_							: List[str]    )   ->BatchEncoding:



														"""simple docstring"""



														snake_case_          =						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 						lowerCAmelCase    (			self							: str						,    *UpperCAmelCase_							: List[Any]						,    **UpperCAmelCase_							: Dict    )   ->BatchEncoding:



														"""simple docstring"""



														snake_case_          =						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 						lowerCAmelCase    (			self							: Dict						,    UpperCAmelCase_							: str						,    UpperCAmelCase_							: Optional[str] = None    )   ->Tuple[str]:



														"""simple docstring"""



														snake_case_          =						self._tokenizer.model.save(UpperCAmelCase_						,    name=UpperCAmelCase_    )
														return tuple(UpperCAmelCase_    )



							def 						lowerCAmelCase    (			self							: Tuple						,    UpperCAmelCase_							: Union[str, Any]						,    UpperCAmelCase_							: Tuple=None    )   ->List[Any]:



														"""simple docstring"""



														snake_case_          =						[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 						lowerCAmelCase    (			self							: int						,    UpperCAmelCase_							: List[int]						,    UpperCAmelCase_							: Optional[List[int]] = None    )   ->List[int]:



														"""simple docstring"""



														snake_case_          =						[self.sep_token_id]
														snake_case_          =						[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"""
import math





class        __A       :





							'''simple docstring'''

							def __init__(			self							: List[str]						,    UpperCAmelCase_							: Tuple=0    )   ->Optional[int]:  # a graph with Node 0,1,...,N-1



														"""simple docstring"""



														snake_case_          =						n
														snake_case_          =						[
														    [math.inf for j in range(0						,    UpperCAmelCase_    )] for i in range(0						,    UpperCAmelCase_    )
														]  # adjacency matrix for weight
														snake_case_          =						[
														    [math.inf for j in range(0						,    UpperCAmelCase_    )] for i in range(0						,    UpperCAmelCase_    )
														]  # dp[i][j] stores minimum distance from i to j



							def 						lowerCAmelCase    (			self							: List[str]						,    UpperCAmelCase_							: Any						,    UpperCAmelCase_							: List[str]						,    UpperCAmelCase_							: Optional[Any]    )   ->Optional[int]:



														"""simple docstring"""



														snake_case_          =						w



							def 						lowerCAmelCase    (			self							: Optional[int]    )   ->Any:



														"""simple docstring"""



														for k in range(0						,    self.n    ):
																					for i in range(0						,    self.n    ):
																												for j in range(0						,    self.n    ):
																																			snake_case_          =						min(self.dp[i][j]						,    self.dp[i][k] + self.dp[k][j]    )



							def 						lowerCAmelCase    (			self							: Optional[int]						,    UpperCAmelCase_							: Dict						,    UpperCAmelCase_							: Optional[Any]    )   ->Union[str, Any]:



														"""simple docstring"""



														return self.dp[u][v]


if __name__ == "__main__":
				__SCREAMING_SNAKE_CASE							:      Optional[int]						=      Graph(5)
				graph.add_edge(0, 2, 9)
				graph.add_edge(0, 4, 10)
				graph.add_edge(1, 3, 5)
				graph.add_edge(2, 3, 7)
				graph.add_edge(3, 0, 10)
				graph.add_edge(3, 1, 2)
				graph.add_edge(3, 2, 1)
				graph.add_edge(3, 4, 6)
				graph.add_edge(4, 1, 3)
				graph.add_edge(4, 2, 4)
				graph.add_edge(4, 3, 9)
				graph.floyd_warshall()
				graph.show_min(1, 4)
				graph.show_min(0, 3)



