


from __future__ import annotations

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

lowerCAmelCase__						=			{
    '''A''': ['''B''', '''C'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F'''],
    '''D''': ['''B'''],
    '''E''': ['''B''', '''F'''],
    '''F''': ['''C''', '''E'''],
}
def 							_UpperCAmelCase    (UpperCamelCase__					:  str    ,							UpperCamelCase__					:  Dict						):
       _A				:	List[str]       =			{start}
       _A				:	str       =			[start]
       _A				:	Queue       =			Queue()
       queue.put(UpperCamelCase__						)
       while not queue.empty():
              _A				:	Optional[int]       =			queue.get()
              for w in graph[v]:
                     if w not in explored:
                            explored.add(UpperCamelCase__						)
                            result.append(UpperCamelCase__						)
                            queue.put(UpperCamelCase__						)
       return result
def 							_UpperCAmelCase    (UpperCamelCase__					:  Dict    ,							UpperCamelCase__					:  List[str]						):
       _A				:	Optional[int]       =			{start}
       _A				:	List[str]       =			[start]
       _A				:	Optional[int]       =			deque([start]						)
       while queue:
              _A				:	List[str]       =			queue.popleft()
              for child in graph[v]:
                     if child not in visited:
                            visited.add(UpperCamelCase__						)
                            result.append(UpperCamelCase__						)
                            queue.append(UpperCamelCase__						)
       return result
def 							_UpperCAmelCase    (UpperCamelCase__					:  Optional[Any]						):
       _A				:	int       =			f"from __main__ import G, {name}"
       _A				:	Tuple       =			10000
       _A				:	Any       =			timeit(f"{name}(G, 'A')"    ,							setup=UpperCamelCase__    ,							number=UpperCamelCase__						)
       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




import warnings

from .generation import FlaxGenerationMixin







class 					lowerCAmelCase__	(    a):




     '''simple docstring'''
     # warning at import time
     warnings.warn(
         "Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will "
         "be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead."					,   a					,   )
