




import os
import tempfile
import unittest
from typing import List

from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
from transformers.testing_utils import require_tokenizers
from transformers.tokenization_utils import PreTrainedTokenizer
from transformers.tokenization_utils_base import PreTrainedTokenizerBase
@require_tokenizers
class       __a					( unittest.TestCase     ):


     """simple docstring"""


     _A				:    Optional[int]									=  EsmTokenizer




     def   __A				(	self			: Dict						)		->   int:


         '''simple docstring'''





         super().setUp()
         SCREAMING_SNAKE_CASE__								=tempfile.mkdtemp()
         # fmt: off
         SCREAMING_SNAKE_CASE__								=["""<cls>""", """<pad>""", """<eos>""", """<unk>""", """L""", """A""", """G""", """V""", """S""", """E""", """R""", """T""", """I""", """D""", """P""", """K""", """Q""", """N""", """F""", """Y""", """M""", """H""", """W""", """C""", """X""", """B""", """U""", """Z""", """O""", """.""", """-""", """<null_1>""", """<mask>"""]  # noqa: E501
         # fmt: on
         SCREAMING_SNAKE_CASE__								=os.path.join(self.tmpdirname				,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]						)						)




     def   __A				(	self			: List[str]				,**_UpperCamelCase			: List[str]						)		->   List[PreTrainedTokenizerBase]:


         '''simple docstring'''





         return [self.get_tokenizer(**__a						)]




     def   __A				(	self			: Dict				,**_UpperCamelCase			: Optional[int]						)		->   PreTrainedTokenizer:


         '''simple docstring'''





         return self.tokenizer_class.from_pretrained(self.tmpdirname				,**__a						)




     def   __A				(	self			: List[Any]						)		->   str:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=self.tokenizer_class(self.vocab_file						)

         SCREAMING_SNAKE_CASE__								=tokenizer.tokenize("""LAGVS"""						)
         self.assertListEqual(__a				,["""L""", """A""", """G""", """V""", """S"""]						)
         self.assertListEqual(tokenizer.convert_tokens_to_ids(__a						)				,[4, 5, 6, 7, 8]						)




     def   __A				(	self			: Optional[int]						)		->   List[Any]:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=self.tokenizer_class(self.vocab_file						)

         SCREAMING_SNAKE_CASE__								="""LAGVS"""
         self.assertListEqual(tokenizer.encode(__a						)				,[0, 4, 5, 6, 7, 8, 2]						)




     def   __A				(	self			: Optional[Any]						)		->   Tuple:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=self.tokenizer_class(self.vocab_file						)

         SCREAMING_SNAKE_CASE__								=["""LAGVS""", """WCB"""]
         SCREAMING_SNAKE_CASE__								=tokenizer(__a				,padding=__a						)["""input_ids"""]

         self.assertListEqual(__a				,[[0, 4, 5, 6, 7, 8, 2], [0, 2_2, 2_3, 2_5, 2]]						)




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


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=self.tokenizer_class(self.vocab_file						)

         SCREAMING_SNAKE_CASE__								=["""LAGVS""", """WCB"""]
         SCREAMING_SNAKE_CASE__								=tokenizer(__a				,padding=__a						)["""input_ids"""]

         self.assertListEqual(__a				,[[0, 4, 5, 6, 7, 8, 2], [0, 2_2, 2_3, 2_5, 2, 1, 1]]						)




     def   __A				(	self			: Any						)		->   Tuple:


         '''simple docstring'''





         SCREAMING_SNAKE_CASE__								=self.get_tokenizers(fast=__a						)
         for tokenizer in tokenizers:
             with self.subTest(f"""{tokenizer.__class__.__name__}"""						):
                 SCREAMING_SNAKE_CASE__								="""<unk>"""
                 SCREAMING_SNAKE_CASE__								="""<mask>"""

                 SCREAMING_SNAKE_CASE__								=tokenizer.tokenize(__a						)
                 SCREAMING_SNAKE_CASE__								=tokenizer.tokenize(__a						)

                 self.assertEqual(len(__a						)				,1						)
                 self.assertEqual(len(__a						)				,1						)
                 self.assertEqual(token_a[0]				,__a						)
                 self.assertEqual(token_a[0]				,__a						)









from __future__ import annotations

import random

# Adjacency list representation of this graph:
# https://en.wikipedia.org/wiki/File:Single_run_of_Karger%E2%80%99s_Mincut_algorithm.svg
_UpperCamelCase			       =			{
    '''1''': ['''2''', '''3''', '''4''', '''5'''],
    '''2''': ['''1''', '''3''', '''4''', '''5'''],
    '''3''': ['''1''', '''2''', '''4''', '''5''', '''10'''],
    '''4''': ['''1''', '''2''', '''3''', '''5''', '''6'''],
    '''5''': ['''1''', '''2''', '''3''', '''4''', '''7'''],
    '''6''': ['''7''', '''8''', '''9''', '''10''', '''4'''],
    '''7''': ['''6''', '''8''', '''9''', '''10''', '''5'''],
    '''8''': ['''6''', '''7''', '''9''', '''10'''],
    '''9''': ['''6''', '''7''', '''8''', '''10'''],
    '''10''': ['''6''', '''7''', '''8''', '''9''', '''3'''],
}
def 						UpperCamelCase_(			snake_case__:  dict[str, list[str]]   )       -> set[tuple[str, str]]:
 UpperCAmelCase__							=				{node: {node} for node in graph}

 UpperCAmelCase__							=				{node: graph[node][:] for node in graph}

 while len(snake_case__   ) > 2:
  # Choose a random edge.
  UpperCAmelCase__							=				random.choice(list(graph_copy.keys()   )   )
  UpperCAmelCase__							=				random.choice(graph_copy[u]   )

  # Contract edge (u, v) to new node uv
  UpperCAmelCase__							=				u + v
  UpperCAmelCase__							=				list(set(graph_copy[u] + graph_copy[v]   )   )
  uv_neighbors.remove(snake_case__   )
  uv_neighbors.remove(snake_case__   )
  UpperCAmelCase__							=				uv_neighbors
  for neighbor in uv_neighbors:
   graph_copy[neighbor].append(snake_case__   )

  UpperCAmelCase__							=				set(contracted_nodes[u].union(contracted_nodes[v]   )   )

  # Remove nodes u and v.
  del graph_copy[u]
  del graph_copy[v]
  for neighbor in uv_neighbors:
   if u in graph_copy[neighbor]:
    graph_copy[neighbor].remove(snake_case__   )
   if v in graph_copy[neighbor]:
    graph_copy[neighbor].remove(snake_case__   )

    # Find cutset.
 UpperCAmelCase__							=				[contracted_nodes[node] for node in graph_copy]
 return {
     (node, neighbor)
     for node in groups[0]
     for neighbor in graph[node]
     if neighbor in groups[1]
 }


if __name__ == "__main__":
 print(partition_graph(TEST_GRAPH))



