





'''simple docstring'''



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

import regex as re

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


if TYPE_CHECKING:
	from transformers.pipelines.conversational import Conversation

_SCREAMING_SNAKE_CASE     :   Union[str, Any]					=    logging.get_logger(__name__)


_SCREAMING_SNAKE_CASE     :   List[Any]					=    {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

_SCREAMING_SNAKE_CASE     :   str					=    {
    '''vocab_file''': {'''facebook/blenderbot-3B''': '''https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json'''},
    '''merges_file''': {'''facebook/blenderbot-3B''': '''https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt'''},
    '''tokenizer_config_file''': {
        '''facebook/blenderbot-3B''': '''https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json'''
    },
}

_SCREAMING_SNAKE_CASE     :   Dict					=    {'''facebook/blenderbot-3B''': 1_2_8}




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




def    _lowerCAmelCase						(				lowerCamelCase_			:  Any				):
			__lowercase										=							set()
			__lowercase										=							word[0]
			for char in word[1:]:
						pairs.add((prev_char, char)				)
						__lowercase										=							char
			return pairs






class 							__lowercase       (      a__						):







	'''simple docstring'''

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


	def __init__(self     ,_lowerCamelCase     ,_lowerCamelCase     ,_lowerCamelCase="replace"     ,_lowerCamelCase="<s>"     ,_lowerCamelCase="</s>"     ,_lowerCamelCase="</s>"     ,_lowerCamelCase="<s>"     ,_lowerCamelCase="<unk>"     ,_lowerCamelCase="<pad>"     ,_lowerCamelCase="<mask>"     ,_lowerCamelCase=False     ,**_lowerCamelCase     ,)							->							Any:







				'''simple docstring'''





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

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

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

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

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


	@property
	# Copied from transformers.models.roberta.tokenization_roberta.RobertaTokenizer.vocab_size with Roberta->Blenderbot, RoBERTa->Blenderbot
	def 						_UpperCAmelCase     (self )							->							Dict:







				'''simple docstring'''





				return len(self.encoder )


	def 						_UpperCAmelCase     (self )							->							Union[str, Any]:







				'''simple docstring'''





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


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							Dict:







				'''simple docstring'''





				if token in self.cache:
							return self.cache[token]
				__lowercase										=							tuple(_A )
				__lowercase										=							get_pairs(_A )

				if not pairs:
							return token

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

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


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							List[str]:







				'''simple docstring'''





				__lowercase										=							[]
				for token in re.findall(self.pat     ,_A ):
							__lowercase										=							''.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(_A ).split(''' ''' ) )
				return bpe_tokens


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							List[Any]:







				'''simple docstring'''





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


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							Dict:







				'''simple docstring'''





				return self.decoder.get(_A )


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							List[str]:







				'''simple docstring'''





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


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase = None )							->							Tuple:







				'''simple docstring'''





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

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

				__lowercase										=							0
				with open(_A     ,'''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!''' )
													__lowercase										=							token_index
										writer.write(''' '''.join(_A ) + '''\n''' )
										index += 1

				return vocab_file, merge_file


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase = None     ,_lowerCamelCase = False )							->							Dict:







				'''simple docstring'''





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

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


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase = None )							->							Union[str, Any]:







				'''simple docstring'''





				__lowercase										=							[self.sep_token_id]
				__lowercase										=							[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 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase=False     ,**_lowerCamelCase )							->							Any:







				'''simple docstring'''





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


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase = None )							->							int:







				'''simple docstring'''





				return token_ids_a + [self.eos_token_id]


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							Optional[int]:







				'''simple docstring'''





				__lowercase										=							[]
				for is_user, text in conversation.iter_texts():
							if is_user:
										# We need to space prefix as it's being done within blenderbot
										inputs.append(''' ''' + text )
							else:
										# Generated responses should contain them already.
										inputs.append(_A )

				__lowercase										=							'  '.join(_A )
				__lowercase										=							self.encode(_A )
				if len(_A ) > self.model_max_length:
							__lowercase										=							input_ids[-self.model_max_length :]
							logger.warning(f"Trimmed input from conversation as it was longer than {self.model_max_length} tokens." )
				return input_ids












'''simple docstring'''



from __future__ import annotations

from typing import Any






class 							__lowercase       :







	'''simple docstring'''

	def __init__(self     ,_lowerCamelCase )							->							None:







				'''simple docstring'''





				__lowercase										=							num_of_nodes
				__lowercase										=							[]
				__lowercase										=							{}


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase     ,_lowerCamelCase )							->							None:







				'''simple docstring'''





				self.m_edges.append([u_node, v_node, weight] )


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							int:







				'''simple docstring'''





				if self.m_component[u_node] == u_node:
							return u_node
				return self.find_component(self.m_component[u_node] )


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							None:







				'''simple docstring'''





				if self.m_component[u_node] != u_node:
							for k in self.m_component:
										__lowercase										=							self.find_component(_lowerCamelCase )


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase     ,_lowerCamelCase )							->							None:







				'''simple docstring'''





				if component_size[u_node] <= component_size[v_node]:
							__lowercase										=							v_node
							component_size[v_node] += component_size[u_node]
							self.set_component(_lowerCamelCase )

				elif component_size[u_node] >= component_size[v_node]:
							__lowercase										=							self.find_component(_lowerCamelCase )
							component_size[u_node] += component_size[v_node]
							self.set_component(_lowerCamelCase )


	def 						_UpperCAmelCase     (self )							->							None:







				'''simple docstring'''





				__lowercase										=							[]
				__lowercase										=							0

				__lowercase										=							[-1] * self.m_num_of_nodes

				# A list of components (initialized to all of the nodes)
				for node in range(self.m_num_of_nodes ):
							self.m_component.update({node: node} )
							component_size.append(1 )

				__lowercase										=							self.m_num_of_nodes

				while num_of_components > 1:
							for edge in self.m_edges:
										__lowercase						,		__lowercase						,		__lowercase										=							edge

										__lowercase										=							self.m_component[u]
										__lowercase										=							self.m_component[v]

										if u_component != v_component:

													for component in (u_component, v_component):
																if (
																    minimum_weight_edge[component] == -1
																    or minimum_weight_edge[component][2] > w
																):
																			__lowercase										=							[u, v, w]

							for edge in minimum_weight_edge:
										if isinstance(_lowerCamelCase     ,_lowerCamelCase ):
													__lowercase						,		__lowercase						,		__lowercase										=							edge

													__lowercase										=							self.m_component[u]
													__lowercase										=							self.m_component[v]

													if u_component != v_component:
																mst_weight += w
																self.union(_lowerCamelCase     ,_lowerCamelCase     ,_lowerCamelCase )
																print(f"Added edge [{u} - {v}]\nAdded weight: {w}\n" )
																num_of_components -= 1

							__lowercase										=							[-1] * self.m_num_of_nodes
				print(f"The total weight of the minimal spanning tree is: {mst_weight}" )





def    _lowerCAmelCase						(				):
			pass


if __name__ == "__main__":
	import doctest

	doctest.testmod()





