


import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__snake_case		:List[Any]   	=  logging.get_logger(__name__)


__snake_case		:str   	=  {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt'''}

__snake_case		:List[str]   	=  {
    '''vocab_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
    },
}

__snake_case		:int   	=  {
    '''allenai/longformer-base-4096''': 4096,
    '''allenai/longformer-large-4096''': 4096,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 4096,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 4096,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 4096,
}





@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def   __snake_case			(    ):
    __a		 =       (
        list(range(ord('''!'''       )     ,				ord('''~'''       ) + 1       )       ) + list(range(ord('''¡'''       )     ,				ord('''¬'''       ) + 1       )       ) + list(range(ord('''®'''       )     ,				ord('''ÿ'''       ) + 1       )       )
    )
    __a		 =       bs[:]
    __a		 =       0
    for b in range(2**8       ):
        if b not in bs:
            bs.append(_UpperCAmelCase       )
            cs.append(2**8 + n       )
            n += 1
    __a		 =       [chr(_UpperCAmelCase       ) for n in cs]
    return dict(zip(_UpperCAmelCase     ,				_UpperCAmelCase       )       )





def   __snake_case			(    _UpperCAmelCase       ):
    __a		 =       set()
    __a		 =       word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)       )
        __a		 =       char
    return pairs

class 					_A (			__UpperCAmelCase					):
       UpperCamelCase__						:					str		      =		VOCAB_FILES_NAMES
       UpperCamelCase__						:					List[str]		      =		PRETRAINED_VOCAB_FILES_MAP
       UpperCamelCase__						:					Tuple		      =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       UpperCamelCase__						:					List[str]		      =		['''input_ids''', '''attention_mask''']



       def __init__(	self							:  int  ,	__SCREAMING_SNAKE_CASE							:  List[str]  ,	__SCREAMING_SNAKE_CASE							:  Any  ,	__SCREAMING_SNAKE_CASE							:  Optional[Any]="replace"  ,	__SCREAMING_SNAKE_CASE							:  Union[str, Any]="<s>"  ,	__SCREAMING_SNAKE_CASE							:  List[Any]="</s>"  ,	__SCREAMING_SNAKE_CASE							:  Tuple="</s>"  ,	__SCREAMING_SNAKE_CASE							:  Optional[int]="<s>"  ,	__SCREAMING_SNAKE_CASE							:  str="<unk>"  ,	__SCREAMING_SNAKE_CASE							:  Optional[int]="<pad>"  ,	__SCREAMING_SNAKE_CASE							:  int="<mask>"  ,	__SCREAMING_SNAKE_CASE							:  Any=False  ,	**__SCREAMING_SNAKE_CASE							:  Dict  ,	):


           '''simple docstring'''

           __a		 =       AddedToken(__SCREAMING_SNAKE_CASE  ,	lstrip=__SCREAMING_SNAKE_CASE  ,	rstrip=__SCREAMING_SNAKE_CASE) if isinstance(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE) else bos_token
           __a		 =       AddedToken(__SCREAMING_SNAKE_CASE  ,	lstrip=__SCREAMING_SNAKE_CASE  ,	rstrip=__SCREAMING_SNAKE_CASE) if isinstance(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE) else eos_token
           __a		 =       AddedToken(__SCREAMING_SNAKE_CASE  ,	lstrip=__SCREAMING_SNAKE_CASE  ,	rstrip=__SCREAMING_SNAKE_CASE) if isinstance(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE) else sep_token
           __a		 =       AddedToken(__SCREAMING_SNAKE_CASE  ,	lstrip=__SCREAMING_SNAKE_CASE  ,	rstrip=__SCREAMING_SNAKE_CASE) if isinstance(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE) else cls_token
           __a		 =       AddedToken(__SCREAMING_SNAKE_CASE  ,	lstrip=__SCREAMING_SNAKE_CASE  ,	rstrip=__SCREAMING_SNAKE_CASE) if isinstance(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE) else unk_token
           __a		 =       AddedToken(__SCREAMING_SNAKE_CASE  ,	lstrip=__SCREAMING_SNAKE_CASE  ,	rstrip=__SCREAMING_SNAKE_CASE) if isinstance(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE) else pad_token

           # Mask token behave like a normal word, i.e. include the space before it
           __a		 =       AddedToken(__SCREAMING_SNAKE_CASE  ,	lstrip=__SCREAMING_SNAKE_CASE  ,	rstrip=__SCREAMING_SNAKE_CASE) if isinstance(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE) else mask_token

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

           with open(__SCREAMING_SNAKE_CASE  ,	encoding='''utf-8''') as vocab_handle:
               __a		 =       json.load(__SCREAMING_SNAKE_CASE)
           __a		 =       {v: k for k, v in self.encoder.items()}
           __a		 =       errors  # how to handle errors in decoding
           __a		 =       bytes_to_unicode()
           __a		 =       {v: k for k, v in self.byte_encoder.items()}
           with open(__SCREAMING_SNAKE_CASE  ,	encoding='''utf-8''') as merges_handle:
               __a		 =       merges_handle.read().split('''\n''')[1:-1]
           __a		 =       [tuple(merge.split()) for merge in bpe_merges]
           __a		 =       dict(zip(__SCREAMING_SNAKE_CASE  ,	range(len(__SCREAMING_SNAKE_CASE))))
           __a		 =       {}
           __a		 =       add_prefix_space

           # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
           __a		 =       re.compile(r'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+''')



       @property
       def 	_lowerCamelCase    (	self							:  List[Any]):


           '''simple docstring'''

           return len(self.encoder)



       def 	_lowerCamelCase    (	self							:  Optional[Any]):


           '''simple docstring'''

           return dict(self.encoder  ,	**self.added_tokens_encoder)



       def 	_lowerCamelCase    (	self							:  Dict  ,	__SCREAMING_SNAKE_CASE							:  Optional[Any]):


           '''simple docstring'''

           if token in self.cache:
               return self.cache[token]
           __a		 =       tuple(__SCREAMING_SNAKE_CASE)
           __a		 =       get_pairs(__SCREAMING_SNAKE_CASE)

           if not pairs:
               return token

           while True:
               __a		 =       min(__SCREAMING_SNAKE_CASE  ,	key=lambda __SCREAMING_SNAKE_CASE: self.bpe_ranks.get(__SCREAMING_SNAKE_CASE  ,	float('''inf''')))
               if bigram not in self.bpe_ranks:
                   break
               __a ,     __a		 =       bigram
               __a		 =       []
               __a		 =       0
               while i < len(__SCREAMING_SNAKE_CASE):
                   try:
                       __a		 =       word.index(__SCREAMING_SNAKE_CASE  ,	__SCREAMING_SNAKE_CASE)
                   except ValueError:
                       new_word.extend(word[i:])
                       break
                   else:
                       new_word.extend(word[i:j])
                       __a		 =       j

                   if word[i] == first and i < len(__SCREAMING_SNAKE_CASE) - 1 and word[i + 1] == second:
                       new_word.append(first + second)
                       i += 2
                   else:
                       new_word.append(word[i])
                       i += 1
               __a		 =       tuple(__SCREAMING_SNAKE_CASE)
               __a		 =       new_word
               if len(__SCREAMING_SNAKE_CASE) == 1:
                   break
               else:
                   __a		 =       get_pairs(__SCREAMING_SNAKE_CASE)
           __a		 =       ''' '''.join(__SCREAMING_SNAKE_CASE)
           __a		 =       word
           return word



       def 	_lowerCamelCase    (	self							:  str  ,	__SCREAMING_SNAKE_CASE							:  Optional[Any]):


           '''simple docstring'''

           __a		 =       []
           for token in re.findall(self.pat  ,	__SCREAMING_SNAKE_CASE):
               __a		 =       ''''''.join(
                   self.byte_encoder[b] for b in token.encode('''utf-8'''))  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
               bpe_tokens.extend(bpe_token for bpe_token in self.bpe(__SCREAMING_SNAKE_CASE).split(''' '''))
           return bpe_tokens



       def 	_lowerCamelCase    (	self							:  Optional[int]  ,	__SCREAMING_SNAKE_CASE							:  Optional[Any]):


           '''simple docstring'''

           return self.encoder.get(__SCREAMING_SNAKE_CASE  ,	self.encoder.get(self.unk_token))



       def 	_lowerCamelCase    (	self							:  Optional[Any]  ,	__SCREAMING_SNAKE_CASE							:  List[str]):


           '''simple docstring'''

           return self.decoder.get(__SCREAMING_SNAKE_CASE)



       def 	_lowerCamelCase    (	self							:  List[Any]  ,	__SCREAMING_SNAKE_CASE							:  List[str]):


           '''simple docstring'''

           __a		 =       ''''''.join(__SCREAMING_SNAKE_CASE)
           __a		 =       bytearray([self.byte_decoder[c] for c in text]).decode('''utf-8'''  ,	errors=self.errors)
           return text



       def 	_lowerCamelCase    (	self							:  Tuple  ,	__SCREAMING_SNAKE_CASE							:  str  ,	__SCREAMING_SNAKE_CASE							:  Optional[str] = None):


           '''simple docstring'''

           if not os.path.isdir(__SCREAMING_SNAKE_CASE):
               logger.error(F'Vocabulary path ({save_directory}) should be a directory')
               return
           __a		 =       os.path.join(
               __SCREAMING_SNAKE_CASE  ,	(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''])
           __a		 =       os.path.join(
               __SCREAMING_SNAKE_CASE  ,	(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file'''])

           with open(__SCREAMING_SNAKE_CASE  ,	'''w'''  ,	encoding='''utf-8''') as f:
               f.write(json.dumps(self.encoder  ,	indent=2  ,	sort_keys=__SCREAMING_SNAKE_CASE  ,	ensure_ascii=__SCREAMING_SNAKE_CASE) + '''\n''')

           __a		 =       0
           with open(__SCREAMING_SNAKE_CASE  ,	'''w'''  ,	encoding='''utf-8''') as writer:
               writer.write('''#version: 0.2\n''')
               for bpe_tokens, token_index in sorted(self.bpe_ranks.items()  ,	key=lambda __SCREAMING_SNAKE_CASE: kv[1]):
                   if index != token_index:
                       logger.warning(
                           F'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
                           ''' Please check that the tokenizer is not corrupted!''')
                       __a		 =       token_index
                   writer.write(''' '''.join(__SCREAMING_SNAKE_CASE) + '''\n''')
                   index += 1

           return vocab_file, merge_file



       def 	_lowerCamelCase    (	self							:  Dict  ,	__SCREAMING_SNAKE_CASE							:  List[int]  ,	__SCREAMING_SNAKE_CASE							:  Optional[List[int]] = None):


           '''simple docstring'''

           if token_ids_a is None:
               return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
           __a		 =       [self.cls_token_id]
           __a		 =       [self.sep_token_id]
           return cls + token_ids_a + sep + sep + token_ids_a + sep



       def 	_lowerCamelCase    (	self							:  Union[str, Any]  ,	__SCREAMING_SNAKE_CASE							:  List[int]  ,	__SCREAMING_SNAKE_CASE							:  Optional[List[int]] = None  ,	__SCREAMING_SNAKE_CASE							:  bool = False):


           '''simple docstring'''

           if already_has_special_tokens:
               return super().get_special_tokens_mask(
                   token_ids_a=__SCREAMING_SNAKE_CASE  ,	token_ids_a=__SCREAMING_SNAKE_CASE  ,	already_has_special_tokens=__SCREAMING_SNAKE_CASE)

           if token_ids_a is None:
               return [1] + ([0] * len(__SCREAMING_SNAKE_CASE)) + [1]
           return [1] + ([0] * len(__SCREAMING_SNAKE_CASE)) + [1, 1] + ([0] * len(__SCREAMING_SNAKE_CASE)) + [1]



       def 	_lowerCamelCase    (	self							:  Tuple  ,	__SCREAMING_SNAKE_CASE							:  List[int]  ,	__SCREAMING_SNAKE_CASE							:  Optional[List[int]] = None):


           '''simple docstring'''

           __a		 =       [self.sep_token_id]
           __a		 =       [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    (	self							:  Any  ,	__SCREAMING_SNAKE_CASE							:  Dict  ,	__SCREAMING_SNAKE_CASE							:  str=False  ,	**__SCREAMING_SNAKE_CASE							:  Dict):


           '''simple docstring'''

           __a		 =       kwargs.pop('''add_prefix_space'''  ,	self.add_prefix_space)
           if (is_split_into_words or add_prefix_space) and (len(__SCREAMING_SNAKE_CASE) > 0 and not text[0].isspace()):
               __a		 =       ''' ''' + text
           return (text, kwargs)










from __future__ import annotations





def   __snake_case			(    _UpperCAmelCase     ,				_UpperCAmelCase       ):
    print(f'Vertex\tShortest Distance from vertex {src}'       )
    for i, d in enumerate(_UpperCAmelCase       ):
        print(f'{i}\t\t{d}'       )





def   __snake_case			(    _UpperCAmelCase     ,				_UpperCAmelCase     ,				_UpperCAmelCase       ):
    for j in range(_UpperCAmelCase       ):
        __a ,     __a ,     __a		 =       (graph[j][k] for k in ['''src''', '''dst''', '''weight'''])
        if distance[u] != float('''inf'''       ) and distance[u] + w < distance[v]:
            return True
    return False





def   __snake_case			(    _UpperCAmelCase     ,				_UpperCAmelCase     ,				_UpperCAmelCase     ,				_UpperCAmelCase       ):
    __a		 =       [float('''inf'''       )] * vertex_count
    __a		 =       0.0

    for _ in range(vertex_count - 1       ):
        for j in range(_UpperCAmelCase       ):
            __a ,     __a ,     __a		 =       (graph[j][k] for k in ['''src''', '''dst''', '''weight'''])

            if distance[u] != float('''inf'''       ) and distance[u] + w < distance[v]:
                __a		 =       distance[u] + w

    __a		 =       check_negative_cycle(_UpperCAmelCase     ,				_UpperCAmelCase     ,				_UpperCAmelCase       )
    if negative_cycle_exists:
        raise Exception('''Negative cycle found'''       )

    return distance


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 __snake_case		:Dict   	=  int(input('''Enter number of vertices: ''').strip())
 __snake_case		:Any   	=  int(input('''Enter number of edges: ''').strip())

 __snake_case		:list[dict[str, int]]   	=  [{} for _ in range(E)]

 for i in range(E):
  print('''Edge ''', i + 1)
  __snake_case	,__snake_case	,__snake_case		:int   	=  (
      int(x)
      for x in input('''Enter source, destination, weight: ''').strip().split(''' ''')
  )
  __snake_case		:Any   	=  {'''src''': src, '''dst''': dest, '''weight''': weight}

 __snake_case		:List[str]   	=  int(input('''\nEnter shortest path source:''').strip())
 __snake_case		:Optional[Any]   	=  bellman_ford(graph, V, E, source)
 print_distance(shortest_distance, 0)





