





'''simple docstring'''

import json
import os
from typing import Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


lowercase__		:     Dict			=							logging.get_logger(__name__)

lowercase__		:     Tuple			=							{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

lowercase__		:     Any			=							{
    'vocab_file': {'ctrl': 'https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json'},
    'merges_file': {'ctrl': 'https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt'},
}

lowercase__		:     Union[str, Any]			=							{
    'ctrl': 2_56,
}

lowercase__		:     List[Any]			=							{
    'Pregnancy': 16_86_29,
    'Christianity': 76_75,
    'Explain': 10_64_23,
    'Fitness': 6_34_40,
    'Saving': 6_31_63,
    'Ask': 2_71_71,
    'Ass': 9_59_85,
    'Joke': 16_35_09,
    'Questions': 4_56_22,
    'Thoughts': 4_96_05,
    'Retail': 5_23_42,
    'Feminism': 16_43_38,
    'Writing': 1_19_92,
    'Atheism': 19_22_63,
    'Netflix': 4_86_16,
    'Computing': 3_96_39,
    'Opinion': 4_32_13,
    'Alone': 4_49_67,
    'Funny': 5_89_17,
    'Gaming': 4_03_58,
    'Human': 40_88,
    'India': 13_31,
    'Joker': 7_71_38,
    'Diet': 3_62_06,
    'Legal': 1_18_59,
    'Norman': 49_39,
    'Tip': 7_26_89,
    'Weight': 5_23_43,
    'Movies': 4_62_73,
    'Running': 2_34_25,
    'Science': 20_90,
    'Horror': 3_77_93,
    'Confession': 6_05_72,
    'Finance': 1_22_50,
    'Politics': 1_63_60,
    'Scary': 19_19_85,
    'Support': 1_26_54,
    'Technologies': 3_25_16,
    'Teenage': 6_61_60,
    'Event': 3_27_69,
    'Learned': 6_74_60,
    'Notion': 18_27_70,
    'Wikipedia': 3_75_83,
    'Books': 66_65,
    'Extract': 7_60_50,
    'Confessions': 10_27_01,
    'Conspiracy': 7_59_32,
    'Links': 6_36_74,
    'Narcissus': 15_04_25,
    'Relationship': 5_47_66,
    'Relationships': 13_47_96,
    'Reviews': 4_16_71,
    'News': 42_56,
    'Translation': 2_68_20,
    'multilingual': 12_84_06,
}







def    a__							(							lowercase   :	List[str] )						->						Dict:





     """simple docstring"""

     _UpperCamelCase							       =			set()
     _UpperCamelCase							       =			word[0]
     for char in word[1:]:
          pairs.add((prev_char, char) )
          _UpperCamelCase							       =			char

     _UpperCamelCase							       =			set(lowercase )
     return pairs




class 							__lowerCAmelCase	(       __magic_name__					):






       """simple docstring"""
       _snake_case      :	Tuple									=       VOCAB_FILES_NAMES
       _snake_case      :	List[Any]									=       PRETRAINED_VOCAB_FILES_MAP
       _snake_case      :	Tuple									=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _snake_case      :	List[Any]									=       CONTROL_CODES





       def __init__(				self  :						str			,					lowerCAmelCase__  :						List[Any]			,					lowerCAmelCase__  :						List[str]			,					lowerCAmelCase__  :						Union[str, Any]="<unk>"			,					**lowerCAmelCase__  :						Any	)       ->	Optional[Any]:

            '''simple docstring'''




            super().__init__(unk_token=lowerCAmelCase__			,					**lowerCAmelCase__	)

            with open(lowerCAmelCase__			,					encoding='''utf-8'''	) as vocab_handle:
                 _UpperCamelCase							       =			json.load(lowerCAmelCase__	)
            _UpperCamelCase							       =			{v: k for k, v in self.encoder.items()}
            with open(lowerCAmelCase__			,					encoding='''utf-8'''	) as merges_handle:
                 _UpperCamelCase							       =			merges_handle.read().split('''\n'''	)[1:-1]
            _UpperCamelCase							       =			[tuple(merge.split()	) for merge in merges]
            _UpperCamelCase							       =			dict(zip(lowerCAmelCase__			,					range(len(lowerCAmelCase__	)	)	)	)
            _UpperCamelCase							       =			{}





       @property
       def snake_case__		(				self  :						Tuple	)       ->	Tuple:

            '''simple docstring'''




            return len(self.encoder	)





       def snake_case__		(				self  :						int	)       ->	int:

            '''simple docstring'''




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





       def snake_case__		(				self  :						List[Any]			,					lowerCAmelCase__  :						Optional[int]	)       ->	Optional[int]:

            '''simple docstring'''




            if token in self.cache:
                 return self.cache[token]
            _UpperCamelCase							       =			tuple(lowerCAmelCase__	)
            _UpperCamelCase							       =			tuple(list(word[:-1]	) + [word[-1] + '''</w>''']	)
            _UpperCamelCase							       =			get_pairs(lowerCAmelCase__	)

            if not pairs:
                 return token

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

                      if word[i] == first and i < len(lowerCAmelCase__	) - 1 and word[i + 1] == second:
                           new_word.append(first + second	)
                           i += 2
                      else:
                           new_word.append(word[i]	)
                           i += 1
                 _UpperCamelCase							       =			tuple(lowerCAmelCase__	)
                 _UpperCamelCase							       =			new_word
                 if len(lowerCAmelCase__	) == 1:
                      break
                 else:
                      _UpperCamelCase							       =			get_pairs(lowerCAmelCase__	)
            _UpperCamelCase							       =			'''@@ '''.join(lowerCAmelCase__	)
            _UpperCamelCase							       =			word[:-4]
            _UpperCamelCase							       =			word
            return word





       def snake_case__		(				self  :						Tuple			,					lowerCAmelCase__  :						Optional[int]	)       ->	int:

            '''simple docstring'''




            _UpperCamelCase							       =			[]

            _UpperCamelCase							       =			re.findall(r'''\S+\n?'''			,					lowerCAmelCase__	)

            for token in words:
                 split_tokens.extend(list(self.bpe(lowerCAmelCase__	).split(''' '''	)	)	)
            return split_tokens





       def snake_case__		(				self  :						int			,					lowerCAmelCase__  :						Optional[int]	)       ->	str:

            '''simple docstring'''




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





       def snake_case__		(				self  :						Any			,					lowerCAmelCase__  :						List[str]	)       ->	Optional[Any]:

            '''simple docstring'''




            return self.decoder.get(lowerCAmelCase__			,					self.unk_token	)





       def snake_case__		(				self  :						Any			,					lowerCAmelCase__  :						Tuple	)       ->	int:

            '''simple docstring'''




            _UpperCamelCase							       =			''' '''.join(lowerCAmelCase__	).replace('''@@ '''			,					''''''	).strip()
            return out_string







       def snake_case__		(				self  :						Any			,					lowerCAmelCase__  :						str			,					lowerCAmelCase__  :						Optional[str] = None	)       ->	Tuple[str]:

            '''simple docstring'''




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

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

            _UpperCamelCase							       =			0
            with open(lowerCAmelCase__			,					'''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 lowerCAmelCase__	: 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!'''	)
                           _UpperCamelCase							       =			token_index
                      writer.write(''' '''.join(lowerCAmelCase__	) + '''\n'''	)
                      index += 1

            return vocab_file, merge_file

       # def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
       #     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
       #     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
       #     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
       #     return ''.join(tokens_generated_so_far)










from __future__ import annotations


def       SCREAMING_SNAKE_CASE__  (       _lowercase     : list[float]   ,    _lowercase     : Tuple			)   ->							int:




		'''simple docstring'''
		print(f"""Vertex\tShortest Distance from vertex {src}"""			)
		for i, d in enumerate(_lowercase			):
				print(f"""{i}\t\t{d}"""			)


def       SCREAMING_SNAKE_CASE__  (       _lowercase     : list[dict[str, int]]   ,    _lowercase     : list[float]   ,    _lowercase     : int			)   ->							Any:




		'''simple docstring'''
		for j in range(_lowercase			):
				lowercase__   ,				lowercase__   ,				lowercase__					:      Dict      =		(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       SCREAMING_SNAKE_CASE__  (       _lowercase     : list[dict[str, int]]   ,    _lowercase     : int   ,    _lowercase     : int   ,    _lowercase     : int			)   ->							list[float]:




		'''simple docstring'''
		lowercase__					:      Dict      =		[float('inf'			)] * vertex_count
		lowercase__					:      Dict      =		0.0

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

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

		lowercase__					:      str      =		check_negative_cycle(_lowercase   ,    _lowercase   ,    _lowercase			)
		if negative_cycle_exists:
				raise Exception('Negative cycle found'			)

		return distance


if __name__ == "__main__":
			import doctest

			doctest.testmod()

			__UpperCamelCase:	Optional[int] = int(input("""Enter number of vertices: """).strip())
			__UpperCamelCase:	Union[str, Any] = int(input("""Enter number of edges: """).strip())

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

			for i in range(E):
						print("""Edge """, i + 1)
						__UpperCamelCase,	__UpperCamelCase,	__UpperCamelCase:	List[str] = (
						    int(x)
						    for x in input("""Enter source, destination, weight: """).strip().split(""" """)
						)
						__UpperCamelCase:	List[Any] = {"""src""": src, """dst""": dest, """weight""": weight}

			__UpperCamelCase:	Optional[int] = int(input("""\nEnter shortest path source:""").strip())
			__UpperCamelCase:	Dict = bellman_ford(graph, V, E, source)
			print_distance(shortest_distance, 0)


