
from unittest import TestCase

from datasets import Dataset
from minhash_deduplication import deduplicate_dataset, make_duplicate_clusters





def 	SCREAMING_SNAKE_CASE__    (      ):
    snake_case__						=				{
        "repo_name": ["test_repo1", "test_repo2", "test_repo3"],
        "path": ["test_1.py", "test_2.py", "unit_test.py"],
        "content": ["a " * 20, "a " * 30, "b " * 7],
    }
    snake_case__						=				Dataset.from_dict(__lowerCAmelCase							)
    return dataset





class 					_SCREAMING_SNAKE_CASE  (      __UpperCamelCase ):
      def A_			(			self ):
          snake_case__						=				get_dataset()
          snake_case__						=				make_duplicate_clusters(lowerCamelCase		,	0.8_5 )
          self.assertEqual(len(duplicate_clusters[0] )		,	2 )



      def A_			(			self ):
          snake_case__						=				get_dataset()
          snake_case__						,					snake_case__						=				deduplicate_dataset(lowerCamelCase )
          self.assertEqual(len(lowerCamelCase )		,	2 )
          print(lowerCamelCase )
          self.assertEqual(duplicate_clusters[0][0]["copies"]		,	2 )
          self.assertEqual(duplicate_clusters[0][0]["is_extreme"]		,	lowerCamelCase )





# A Bipartite Graph is a graph whose vertices can be divided into two independent sets,
# U and V such that every edge (u, v) either connects a vertex from U to V or a vertex
# from V to U. In other words, for every edge (u, v), either u belongs to U and v to V,
# or u belongs to V and v to U. We can also say that there is no edge that connects
# vertices of same set.





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    snake_case__						=				[False] * len(__lowerCAmelCase							)
    snake_case__						=				[-1] * len(__lowerCAmelCase							)

    def dfs(__lowerCAmelCase    ,		__lowerCAmelCase							):
        snake_case__						=				True
        snake_case__						=				c
        for u in graph[v]:
            if not visited[u]:
                dfs(__lowerCAmelCase    ,		1 - c							)

    for i in range(len(__lowerCAmelCase							)							):
        if not visited[i]:
            dfs(__lowerCAmelCase    ,		0							)

    for i in range(len(__lowerCAmelCase							)							):
        for j in graph[i]:
            if color[i] == color[j]:
                return False

    return True


# Adjacency list of graph
__magic_name__            =  {0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 4: []}





print(check_bipartite_dfs(graph))



