





import heapq as hq
import math
from collections.abc import Iterator

class  __A       :


				def __init__(						self				,	UpperCAmelCase_							):
								lowerCamelCase			=str(id_							)
								lowerCamelCase			=None
								lowerCamelCase			=None
								lowerCamelCase			=[]
								lowerCamelCase			={}  # {vertex:distance}


				def __lt__(						self				,	UpperCAmelCase_							):
								return self.key < other.key


				def __repr__(						self							):
								return self.id


				def _snake_case    (						self				,	UpperCAmelCase_							):
								self.neighbors.append(UpperCamelCase__							)


				def _snake_case    (						self				,	UpperCAmelCase_				,	UpperCAmelCase_							):
								lowerCamelCase			=weight





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase     , _UpperCAmelCase			)  ->					Optional[int]:
				# add the neighbors:
				graph[a - 1].add_neighbor(graph[b - 1]			)
				graph[b - 1].add_neighbor(graph[a - 1]			)
				# add the edges:
				graph[a - 1].add_edge(graph[b - 1]     , UpperCAmelCase__			)
				graph[b - 1].add_edge(graph[a - 1]     , UpperCAmelCase__			)





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase			)  ->					list:
				lowerCamelCase			=[]
				for u in graph:
								lowerCamelCase			=math.inf
								lowerCamelCase			=None
				lowerCamelCase			=0
				lowerCamelCase			=graph[:]
				while q:
								lowerCamelCase			=min(UpperCAmelCase__			)
								q.remove(UpperCAmelCase__			)
								for v in u.neighbors:
												if (v in q) and (u.edges[v.id] < v.key):
																lowerCamelCase			=u
																lowerCamelCase			=u.edges[v.id]
				for i in range(1     , len(UpperCAmelCase__			)			):
								a.append((int(graph[i].id			) + 1, int(graph[i].pi.id			) + 1)			)
				return a





def        _lowercase   (  _UpperCAmelCase     , _UpperCAmelCase			)  ->					Iterator[tuple]:
				for u in graph:
								lowerCamelCase			=math.inf
								lowerCamelCase			=None
				lowerCamelCase			=0

				lowerCamelCase			=list(UpperCAmelCase__			)
				hq.heapify(UpperCAmelCase__			)

				while h:
								lowerCamelCase			=hq.heappop(UpperCAmelCase__			)
								for v in u.neighbors:
												if (v in h) and (u.edges[v.id] < v.key):
																lowerCamelCase			=u
																lowerCamelCase			=u.edges[v.id]
																hq.heapify(UpperCAmelCase__			)

				for i in range(1     , len(UpperCAmelCase__			)			):
								yield (int(graph[i].id			) + 1, int(graph[i].pi.id			) + 1)





def        _lowercase   (  )  ->					None:
				pass


if __name__ == "__main__":
							import doctest

							doctest.testmod()












import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin

class  __A       (  a      ,   unittest.TestCase      ):
				__A								=			BioGptTokenizer
				__A								=			False


				def _snake_case    (						self							):
								super().setUp()

								# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
								lowerCamelCase			=[
								    """l""",
								    """o""",
								    """w""",
								    """e""",
								    """r""",
								    """s""",
								    """t""",
								    """i""",
								    """d""",
								    """n""",
								    """w</w>""",
								    """r</w>""",
								    """t</w>""",
								    """lo""",
								    """low""",
								    """er</w>""",
								    """low</w>""",
								    """lowest</w>""",
								    """newer</w>""",
								    """wider</w>""",
								    """<unk>""",
								]
								lowerCamelCase			=dict(zip(UpperCAmelCase_				,	range(len(UpperCAmelCase_							)							)							)							)
								lowerCamelCase			=["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

								lowerCamelCase			=os.path.join(self.tmpdirname				,	VOCAB_FILES_NAMES["""vocab_file"""]							)
								lowerCamelCase			=os.path.join(self.tmpdirname				,	VOCAB_FILES_NAMES["""merges_file"""]							)
								with open(self.vocab_file				,	"""w"""							) as fp:
												fp.write(json.dumps(UpperCAmelCase_							)							)
								with open(self.merges_file				,	"""w"""							) as fp:
												fp.write("""\n""".join(UpperCAmelCase_							)							)


				def _snake_case    (						self				,	UpperCAmelCase_							):
								lowerCamelCase			="""lower newer"""
								lowerCamelCase			="""lower newer"""
								return input_text, output_text


				def _snake_case    (						self							):
								lowerCamelCase			=BioGptTokenizer(self.vocab_file				,	self.merges_file							)

								lowerCamelCase			="""lower"""
								lowerCamelCase			=["""low""", """er</w>"""]
								lowerCamelCase			=tokenizer.tokenize(UpperCAmelCase_							)
								self.assertListEqual(UpperCAmelCase_				,	UpperCAmelCase_							)

								lowerCamelCase			=tokens + ["""<unk>"""]
								lowerCamelCase			=[14, 15, 20]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_							)				,	UpperCAmelCase_							)


				@slow
				def _snake_case    (						self							):
								lowerCamelCase			=BioGptTokenizer.from_pretrained("""microsoft/biogpt"""							)

								lowerCamelCase			=tokenizer.encode("""sequence builders"""				,	add_special_tokens=UpperCAmelCase_							)
								lowerCamelCase			=tokenizer.encode("""multi-sequence build"""				,	add_special_tokens=UpperCAmelCase_							)

								lowerCamelCase			=tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_							)
								lowerCamelCase			=tokenizer.build_inputs_with_special_tokens(UpperCAmelCase_				,	UpperCAmelCase_							)

								self.assertTrue(encoded_sentence == [2] + text							)
								self.assertTrue(encoded_pair == [2] + text + [2] + text_a							)





