
"""simple docstring"""




from __future__ import annotations

from collections import deque
from queue import Queue
from timeit import timeit

snake_case			       =		{
    'A': ['B', 'C'],
    'B': ['A', 'D', 'E'],
    'C': ['A', 'F'],
    'D': ['B'],
    'E': ['B', 'F'],
    'F': ['C', 'E'],
}

def   UpperCamelCase_  (		SCREAMING_SNAKE_CASE_,					SCREAMING_SNAKE_CASE_      ):
     SCREAMING_SNAKE_CASE           =     {start}
     SCREAMING_SNAKE_CASE           =     [start]
     SCREAMING_SNAKE_CASE           =     Queue()
     queue.put(SCREAMING_SNAKE_CASE_      )
     while not queue.empty():
          SCREAMING_SNAKE_CASE           =     queue.get()
          for w in graph[v]:
               if w not in explored:
                    explored.add(SCREAMING_SNAKE_CASE_      )
                    result.append(SCREAMING_SNAKE_CASE_      )
                    queue.put(SCREAMING_SNAKE_CASE_      )
     return result

def   UpperCamelCase_  (		SCREAMING_SNAKE_CASE_,					SCREAMING_SNAKE_CASE_      ):
     SCREAMING_SNAKE_CASE           =     {start}
     SCREAMING_SNAKE_CASE           =     [start]
     SCREAMING_SNAKE_CASE           =     deque([start]      )
     while queue:
          SCREAMING_SNAKE_CASE           =     queue.popleft()
          for child in graph[v]:
               if child not in visited:
                    visited.add(SCREAMING_SNAKE_CASE_      )
                    result.append(SCREAMING_SNAKE_CASE_      )
                    queue.append(SCREAMING_SNAKE_CASE_      )
     return result

def   UpperCamelCase_  (		SCREAMING_SNAKE_CASE_      ):
     SCREAMING_SNAKE_CASE           =     f'''from __main__ import G, {name}'''
     SCREAMING_SNAKE_CASE           =     1_0_0_0_0
     SCREAMING_SNAKE_CASE           =     timeit(f'''{name}(G, \'A\')''',					setup=SCREAMING_SNAKE_CASE_,					number=SCREAMING_SNAKE_CASE_      )
     print(f'''{name:<35} finished {number} runs in {res:.5f} seconds'''      )


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 benchmark_function('breadth_first_search')
 benchmark_function('breadth_first_search_with_deque')
 # breadth_first_search                finished 10000 runs in 0.20999 seconds
 # breadth_first_search_with_deque     finished 10000 runs in 0.01421 seconds


"""simple docstring"""




import abc
import copy
import dataclasses
from dataclasses import dataclass
from typing import ClassVar, Dict, Type, TypeVar

from ..features import Features


snake_case			       =		TypeVar('T', bound='TaskTemplate')




@dataclass(frozen=__magic_name__				)
class 					UpperCamelCase     (	abc.ABC				):

				"""simple docstring"""



				UpperCAmelCase_    :				str
				UpperCAmelCase_    :				ClassVar[Features]
				UpperCAmelCase_    :				ClassVar[Features]


				def 							A (    self		,     lowercase__      )   ->   T:
									"""simple docstring"""







									return copy.deepcopy(self      )


				@property
				def 							A (    self      )   ->   Features:
									"""simple docstring"""







									return Features(**self.input_schema		,     **self.label_schema      )


				@property
				@abc.abstractmethod
				def 							A (    self      )   ->   Dict[str, str]:
									"""simple docstring"""







									raise NotImplementedError




				@classmethod
				def 							A (    cls		,     lowercase__      )   ->   T:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE           =     {f.name for f in dataclasses.fields(cls      )}
									return cls(**{k: v for k, v in template_dict.items() if k in field_names}      )
