




"""simple docstring"""

from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest





@require_tokenizers
class 				lowercase_       (     __UpperCamelCase							):



 '''simple docstring'''
 UpperCAmelCase    :     str        =	DistilBertTokenizer
 UpperCAmelCase    :     Optional[int]        =	DistilBertTokenizerFast
 UpperCAmelCase    :     str        =	True

 @slow
 def 			lowerCAmelCase_							( self       :       str		):
       _A					   =   DistilBertTokenizer.from_pretrained('distilbert-base-uncased'		)

       _A					   =   tokenizer.encode('sequence builders'    ,							add_special_tokens=_UpperCAmelCase		)
       _A					   =   tokenizer.encode('multi-sequence build'    ,							add_special_tokens=_UpperCAmelCase		)

       _A					   =   tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase		)
       _A					   =   tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase    ,							_UpperCAmelCase		)

       assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
       assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
           tokenizer.sep_token_id
       ]








def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase )			->     set:
    lowerCamelCase__    :      Optional[Any]					 =		set()
    # edges = list of graph's edges
    lowerCamelCase__    :      List[str]					 =		get_edges(_UpperCAmelCase )

    # While there are still elements in edges list, take an arbitrary edge
    # (from_node, to_node) and add his extremity to chosen_vertices and then
    # remove all arcs adjacent to the from_node and to_node
    while edges:
        lowerCamelCase__ ,							lowerCamelCase__    :      str					 =		edges.pop()
        chosen_vertices.add(_UpperCAmelCase )
        chosen_vertices.add(_UpperCAmelCase )
        for edge in edges.copy():
            if from_node in edge or to_node in edge:
                edges.discard(_UpperCAmelCase )
    return chosen_vertices


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase )			->     set:
    lowerCamelCase__    :      Union[str, Any]					 =		set()
    for from_node, to_nodes in graph.items():
        for to_node in to_nodes:
            edges.add((from_node, to_node) )
    return edges


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    # graph = {0: [1, 3], 1: [0, 3], 2: [0, 3, 4], 3: [0, 1, 2], 4: [2, 3]}
    # print(f"Matching vertex cover:\n{matching_min_vertex_cover(graph)}")





