






"""simple docstring"""




from __future__ import annotations

A_		:		int		     =			{
    'A': ['B', 'C', 'E'],
    'B': ['A', 'D', 'E'],
    'C': ['A', 'F', 'G'],
    'D': ['B'],
    'E': ['A', 'B', 'D'],
    'F': ['C'],
    'G': ['C'],
}




class     _lowerCAmelCase:





       """simple docstring"""







       def __init__( self  ,      _lowerCamelCase  ,      _lowerCamelCase							):
         UpperCamelCase_: List[Any]   				=    graph
         # mapping node to its parent in resulting breadth first tree
         UpperCamelCase_: dict[str, str | None]   				=    {}
         UpperCamelCase_: Optional[Any]   				=    source_vertex





       def       _a   ( self							):
         UpperCamelCase_: Optional[int]   				=    {self.source_vertex}
         UpperCamelCase_: List[Any]   				=    None
         UpperCamelCase_: Tuple   				=    [self.source_vertex]  # first in first out queue

         while queue:
           UpperCamelCase_: List[str]   				=    queue.pop(0							)
           for adjacent_vertex in self.graph[vertex]:
             if adjacent_vertex not in visited:
               visited.add(_lowerCamelCase							)
               UpperCamelCase_: Tuple   				=    vertex
               queue.append(_lowerCamelCase							)





       def       _a   ( self  ,      _lowerCamelCase							):
         if target_vertex == self.source_vertex:
           return self.source_vertex

         UpperCamelCase_: Union[str, Any]   				=    self.parent.get(_lowerCamelCase							)
         if target_vertex_parent is None:
           UpperCamelCase_: List[Any]   				=    (
               f'''No path from vertex: {self.source_vertex} to vertex: {target_vertex}'''
           )
           raise ValueError(_lowerCamelCase							)

         return self.shortest_path(_lowerCamelCase							) + f'''->{target_vertex}'''


if __name__ == "__main__":
   A_		:		Optional[int]		     =			Graph(graph, 'G')
   g.breath_first_search()
   print(g.shortest_path('D'))
   print(g.shortest_path('G'))
   print(g.shortest_path('Foo'))







import unittest

from transformers import RoFormerTokenizer, RoFormerTokenizerFast
from transformers.testing_utils import require_rjieba, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_rjieba
@require_tokenizers
class     _lowerCAmelCase(	UpperCAmelCase_							,     unittest.TestCase ):





       """simple docstring"""







       a    :		Optional[int]									=RoFormerTokenizer
       a    :		int									=RoFormerTokenizerFast
       a    :		int									=True
       a    :		Optional[int]									=True





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





       def       _a   ( self  ,      **_lowerCamelCase							):
         return self.tokenizer_class.from_pretrained('junnyu/roformer_chinese_base'  ,      **_lowerCamelCase							)





       def       _a   ( self  ,      **_lowerCamelCase							):
         return self.rust_tokenizer_class.from_pretrained('junnyu/roformer_chinese_base'  ,      **_lowerCamelCase							)





       def       _a   ( self							):
         UpperCamelCase_: Optional[int]   				=    '永和服装饰品有限公司,今天天气非常好'
         UpperCamelCase_: Any   				=    '永和 服装 饰品 有限公司 , 今 天 天 气 非常 好'
         return input_text, output_text





       def       _a   ( self							):
         UpperCamelCase_: int   				=    self.get_tokenizer()
         UpperCamelCase_				,UpperCamelCase_: int   				=    self.get_chinese_input_output_texts()
         UpperCamelCase_: Tuple   				=    tokenizer.tokenize(_lowerCamelCase							)

         self.assertListEqual(_lowerCamelCase  ,      output_text.split()							)

         UpperCamelCase_: Dict   				=    tokens + [tokenizer.unk_token]
         UpperCamelCase_: Dict   				=    [2_2_9_4_3, 2_1_3_3_2, 3_4_4_3_1, 4_5_9_0_4, 1_1_7, 3_0_6, 1_2_3_1, 1_2_3_1, 2_6_5_3, 3_3_9_9_4, 1_2_6_6, 1_0_0]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase							)  ,      _lowerCamelCase							)





       def       _a   ( self							):
         UpperCamelCase_: Optional[Any]   				=    self.get_rust_tokenizer()
         UpperCamelCase_				,UpperCamelCase_: Tuple   				=    self.get_chinese_input_output_texts()
         UpperCamelCase_: Optional[Any]   				=    tokenizer.tokenize(_lowerCamelCase							)
         self.assertListEqual(_lowerCamelCase  ,      output_text.split()							)
         UpperCamelCase_: str   				=    tokens + [tokenizer.unk_token]
         UpperCamelCase_: Optional[Any]   				=    [2_2_9_4_3, 2_1_3_3_2, 3_4_4_3_1, 4_5_9_0_4, 1_1_7, 3_0_6, 1_2_3_1, 1_2_3_1, 2_6_5_3, 3_3_9_9_4, 1_2_6_6, 1_0_0]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase							)  ,      _lowerCamelCase							)





       def       _a   ( self							):
         pass





       def       _a   ( self							):
         pass





       def       _a   ( self							):
         pass