
from __future__ import annotations

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

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





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





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





def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase							):
    snake_case__  =			F"""from __main__ import G, {name}"""
    snake_case__  =			10_000
    snake_case__  =			timeit(F"""{name}(G, 'A')"""      ,						setup=__lowerCAmelCase      ,						number=__lowerCAmelCase							)
    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 unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
     from PIL import Image




class    _SCREAMING_SNAKE_CASE					( unittest.TestCase    ,   __UpperCamelCase	):
      def A_     (     self	):
          snake_case__  =			load_tool("image-captioning"	)
          self.tool.setup()
          snake_case__  =			load_tool("image-captioning"						,		remote=lowerCamelCase	)
      def A_     (     self	):
          snake_case__  =			Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"	)	) / "000000039769.png"	)
          snake_case__  =			self.tool(lowerCamelCase	)
          self.assertEqual(lowerCamelCase						,		"two cats sleeping on a couch"	)
      def A_     (     self	):
          snake_case__  =			Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"	)	) / "000000039769.png"	)
          snake_case__  =			self.remote_tool(lowerCamelCase	)
          self.assertEqual(lowerCamelCase						,		"two cats sleeping on a couch"	)
      def A_     (     self	):
          snake_case__  =			Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"	)	) / "000000039769.png"	)
          snake_case__  =			self.tool(image=lowerCamelCase	)
          self.assertEqual(lowerCamelCase						,		"two cats sleeping on a couch"	)



      def A_     (     self	):
          snake_case__  =			Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"	)	) / "000000039769.png"	)
          snake_case__  =			self.remote_tool(image=lowerCamelCase	)
          self.assertEqual(lowerCamelCase						,		"two cats sleeping on a couch"	)



