
'''simple docstring'''







import json
import os
import shutil
import tempfile
from unittest import TestCase

from transformers import BartTokenizer, BartTokenizerFast, DPRQuestionEncoderTokenizer, DPRQuestionEncoderTokenizerFast
from transformers.models.bart.configuration_bart import BartConfig
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES as DPR_VOCAB_FILES_NAMES
from transformers.models.dpr.configuration_dpr import DPRConfig
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES as BART_VOCAB_FILES_NAMES
from transformers.testing_utils import require_faiss, require_tokenizers, require_torch, slow
from transformers.utils import is_datasets_available, is_faiss_available, is_torch_available


if is_torch_available() and is_datasets_available() and is_faiss_available():
       from transformers.models.rag.configuration_rag import RagConfig
       from transformers.models.rag.tokenization_rag import RagTokenizer






@require_faiss
@require_torch
class 			lowerCAmelCase__       (  lowercase__					):






     def      _snake_case   (       self		):


           """simple docstring"""





           lowercase_     :					Any													=	tempfile.mkdtemp()
           lowercase_     :					Tuple													=	8

           # DPR tok
           lowercase_     :					Optional[int]													=	[
               """[UNK]""",
               """[CLS]""",
               """[SEP]""",
               """[PAD]""",
               """[MASK]""",
               """want""",
               """##want""",
               """##ed""",
               """wa""",
               """un""",
               """runn""",
               """##ing""",
               """,""",
               """low""",
               """lowest""",
           ]
           lowercase_     :					List[str]													=	os.path.join(self.tmpdirname    ,							'''dpr_tokenizer'''		)
           os.makedirs(_UpperCamelCase    ,							exist_ok=_UpperCamelCase		)
           lowercase_     :					List[Any]													=	os.path.join(_UpperCamelCase    ,							DPR_VOCAB_FILES_NAMES['''vocab_file''']		)
           with open(self.vocab_file    ,							'''w'''    ,							encoding='''utf-8'''		) as vocab_writer:
                 vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]		)		)

           # BART tok
           lowercase_     :					Dict													=	[
               """l""",
               """o""",
               """w""",
               """e""",
               """r""",
               """s""",
               """t""",
               """i""",
               """d""",
               """n""",
               """\u0120""",
               """\u0120l""",
               """\u0120n""",
               """\u0120lo""",
               """\u0120low""",
               """er""",
               """\u0120lowest""",
               """\u0120newer""",
               """\u0120wider""",
               """<unk>""",
           ]
           lowercase_     :					Tuple													=	dict(zip(_UpperCamelCase    ,							range(len(_UpperCamelCase		)		)		)		)
           lowercase_     :					Optional[Any]													=	["""#version: 0.2""", """\u0120 l""", """\u0120l o""", """\u0120lo w""", """e r""", """"""]
           lowercase_     :					Union[str, Any]													=	{"""unk_token""": """<unk>"""}

           lowercase_     :					List[Any]													=	os.path.join(self.tmpdirname    ,							'''bart_tokenizer'''		)
           os.makedirs(_UpperCamelCase    ,							exist_ok=_UpperCamelCase		)
           lowercase_     :					List[str]													=	os.path.join(_UpperCamelCase    ,							BART_VOCAB_FILES_NAMES['''vocab_file''']		)
           lowercase_     :					Tuple													=	os.path.join(_UpperCamelCase    ,							BART_VOCAB_FILES_NAMES['''merges_file''']		)
           with open(self.vocab_file    ,							'''w'''    ,							encoding='''utf-8'''		) as fp:
                 fp.write(json.dumps(_UpperCamelCase		) + '''\n'''		)
           with open(self.merges_file    ,							'''w'''    ,							encoding='''utf-8'''		) as fp:
                 fp.write('''\n'''.join(_UpperCamelCase		)		)






     def      _snake_case   (       self		):


           """simple docstring"""





           return DPRQuestionEncoderTokenizer.from_pretrained(os.path.join(self.tmpdirname    ,							'''dpr_tokenizer'''		)		)






     def      _snake_case   (       self		):


           """simple docstring"""





           return BartTokenizer.from_pretrained(os.path.join(self.tmpdirname    ,							'''bart_tokenizer'''		)		)






     def      _snake_case   (       self		):


           """simple docstring"""





           shutil.rmtree(self.tmpdirname		)






     @require_tokenizers
     def      _snake_case   (       self		):


           """simple docstring"""





           lowercase_     :					Tuple													=	os.path.join(self.tmpdirname    ,							'''rag_tokenizer'''		)
           lowercase_     :					Optional[int]													=	RagConfig(question_encoder=DPRConfig().to_dict()    ,							generator=BartConfig().to_dict()		)
           lowercase_     :					List[Any]													=	RagTokenizer(question_encoder=self.get_dpr_tokenizer()    ,							generator=self.get_bart_tokenizer()		)
           rag_config.save_pretrained(_UpperCamelCase		)
           rag_tokenizer.save_pretrained(_UpperCamelCase		)
           lowercase_     :					Union[str, Any]													=	RagTokenizer.from_pretrained(_UpperCamelCase    ,							config=_UpperCamelCase		)
           self.assertIsInstance(new_rag_tokenizer.question_encoder    ,							_UpperCamelCase		)
           self.assertEqual(new_rag_tokenizer.question_encoder.get_vocab()    ,							rag_tokenizer.question_encoder.get_vocab()		)
           self.assertIsInstance(new_rag_tokenizer.generator    ,							_UpperCamelCase		)
           self.assertEqual(new_rag_tokenizer.generator.get_vocab()    ,							rag_tokenizer.generator.get_vocab()		)






     @slow
     def      _snake_case   (       self		):


           """simple docstring"""





           lowercase_     :					List[Any]													=	RagTokenizer.from_pretrained('''facebook/rag-token-nq'''		)
           lowercase_     :					Union[str, Any]													=	[
               """who got the first nobel prize in physics""",
               """when is the next deadpool movie being released""",
               """which mode is used for short wave broadcast service""",
               """who is the owner of reading football club""",
               """when is the next scandal episode coming out""",
               """when is the last time the philadelphia won the superbowl""",
               """what is the most current adobe flash player version""",
               """how many episodes are there in dragon ball z""",
               """what is the first step in the evolution of the eye""",
               """where is gall bladder situated in human body""",
               """what is the main mineral in lithium batteries""",
               """who is the president of usa right now""",
               """where do the greasers live in the outsiders""",
               """panda is a national animal of which country""",
               """what is the name of manchester united stadium""",
           ]
           lowercase_     :					Tuple													=	tokenizer(_UpperCamelCase		)
           self.assertIsNotNone(_UpperCamelCase		)






     @slow
     def      _snake_case   (       self		):


           """simple docstring"""





           lowercase_     :					Union[str, Any]													=	RagTokenizer.from_pretrained('''facebook/rag-sequence-nq'''		)
           lowercase_     :					Optional[Any]													=	[
               """who got the first nobel prize in physics""",
               """when is the next deadpool movie being released""",
               """which mode is used for short wave broadcast service""",
               """who is the owner of reading football club""",
               """when is the next scandal episode coming out""",
               """when is the last time the philadelphia won the superbowl""",
               """what is the most current adobe flash player version""",
               """how many episodes are there in dragon ball z""",
               """what is the first step in the evolution of the eye""",
               """where is gall bladder situated in human body""",
               """what is the main mineral in lithium batteries""",
               """who is the president of usa right now""",
               """where do the greasers live in the outsiders""",
               """panda is a national animal of which country""",
               """what is the name of manchester united stadium""",
           ]
           lowercase_     :					str													=	tokenizer(_UpperCamelCase		)
           self.assertIsNotNone(_UpperCamelCase		)





'''simple docstring'''







from __future__ import annotations

from typing import Any






class 			lowerCAmelCase__       :






					def __init__(       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											lowercase_     :					str													=	num_of_nodes
											lowercase_     :					list[list[int]]													=	[]
											lowercase_     :					dict[int, int]													=	{}






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											if self.m_component[u_node] != u_node:
																	for k in self.m_component:
																							lowercase_     :					Optional[int]													=	self.find_component(__SCREAMING_SNAKE_CASE		)






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											if component_size[u_node] <= component_size[v_node]:
																	lowercase_     :					Any													=	v_node
																	component_size[v_node] += component_size[u_node]
																	self.set_component(__SCREAMING_SNAKE_CASE		)

											elif component_size[u_node] >= component_size[v_node]:
																	lowercase_     :					int													=	self.find_component(__SCREAMING_SNAKE_CASE		)
																	component_size[u_node] += component_size[v_node]
																	self.set_component(__SCREAMING_SNAKE_CASE		)






					def      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					Dict													=	[]
											lowercase_     :					Optional[Any]													=	0

											lowercase_     :					list[Any]													=	[-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_     :					Union[str, Any]													=	self.m_num_of_nodes

											while num_of_components > 1:
																	for edge in self.m_edges:
																							lowercase_						,			lowercase_						,			lowercase_     :					List[Any]													=	edge

																							lowercase_     :					Dict													=	self.m_component[u]
																							lowercase_     :					Any													=	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_     :					Union[str, Any]													=	[u, v, w]

																	for edge in minimum_weight_edge:
																							if isinstance(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		):
																													lowercase_						,			lowercase_						,			lowercase_     :					str													=	edge

																													lowercase_     :					Tuple													=	self.m_component[u]
																													lowercase_     :					Union[str, Any]													=	self.m_component[v]

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

																	lowercase_     :					str													=	[-1] * self.m_num_of_nodes
											print(F'''The total weight of the minimal spanning tree is: {mst_weight}'''		)







def  snake_case_		(    ):



						"""simple docstring"""







if __name__ == "__main__":
							import doctest

							doctest.testmod()



