



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 		_lowercase		(							unittest.TestCase, UpperCAmelCase__						):

   def 		A				(   self      :							Optional[Any]				)							->					Optional[int]:


    """simple docstring"""






    a							=		load_tool("image-captioning"				)
    self.tool.setup()
    a							=		load_tool("image-captioning"				, remote=__lowerCAmelCase				)

   def 		A				(   self      :							Tuple				)							->					Optional[Any]:


    """simple docstring"""






    a							=		Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"				)				) / "000000039769.png"				)
    a							=		self.tool(__lowerCAmelCase				)
    self.assertEqual(__lowerCAmelCase				, "two cats sleeping on a couch"				)

   def 		A				(   self      :							Dict				)							->					str:


    """simple docstring"""






    a							=		Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"				)				) / "000000039769.png"				)
    a							=		self.remote_tool(__lowerCAmelCase				)
    self.assertEqual(__lowerCAmelCase				, "two cats sleeping on a couch"				)

   def 		A				(   self      :							Optional[int]				)							->					int:


    """simple docstring"""






    a							=		Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"				)				) / "000000039769.png"				)
    a							=		self.tool(image=__lowerCAmelCase				)
    self.assertEqual(__lowerCAmelCase				, "two cats sleeping on a couch"				)




   def 		A				(   self      :							List[str]				)							->					Dict:


    """simple docstring"""






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



'''simple docstring'''
import heapq







def 							A_  (    __SCREAMING_SNAKE_CASE    :	List[str]      ,  __SCREAMING_SNAKE_CASE    :	List[Any]      ,  __SCREAMING_SNAKE_CASE    :	str			)					->							Any:





  """simple docstring"""

  __A		:  Dict       				=		[(0, start)]  # cost from start node,end node
  __A		:  Union[str, Any]       				=		set()
  while heap:
    ((__A)				,       (__A))		:  int       				=		heapq.heappop(__SCREAMING_SNAKE_CASE			)
    if u in visited:
      continue
    visited.add(__SCREAMING_SNAKE_CASE			)
    if u == end:
      return cost
    for v, c in graph[u]:
      if v in visited:
        continue
      __A		:  List[str]       				=		cost + c
      heapq.heappush(__SCREAMING_SNAKE_CASE      ,  (next_item, v)			)
  return -1


A__ :		Any					={
    'A': [['B', 2], ['C', 5]],
    'B': [['A', 2], ['D', 3], ['E', 1], ['F', 1]],
    'C': [['A', 5], ['F', 3]],
    'D': [['B', 3]],
    'E': [['B', 4], ['F', 3]],
    'F': [['C', 3], ['E', 3]],
}
A__ :		List[str]					={
    'B': [['C', 1]],
    'C': [['D', 1]],
    'D': [['F', 1]],
    'E': [['B', 1], ['F', 3]],
    'F': [],
}
A__ :		List[Any]					={
    'B': [['C', 1]],
    'C': [['D', 1]],
    'D': [['F', 1]],
    'E': [['B', 1], ['G', 2]],
    'F': [],
    'G': [['F', 1]],
}

A__ :		List[str]					=dijkstra(G, 'E', 'C')
print(short_distance)  # E -- 3 --> F -- 3 --> C == 6

A__ :		Optional[Any]					=dijkstra(Ga, 'E', 'F')
print(short_distance)  # E -- 3 --> F == 3

A__ :		Any					=dijkstra(Ga, 'E', 'F')
print(short_distance)  # E -- 2 --> G -- 1 --> F == 3

if __name__ == "__main__":
     import doctest

     doctest.testmod()



