



'''simple docstring'''







import json
import os
import tempfile
import unittest

from transformers.modelcard import ModelCard

class       lowerCamelCase_							(	unittest.TestCase  ):






   '''simple docstring'''

   def 	_UpperCamelCase       (  self ):
       UpperCamelCase__      =			{
           "model_details": {
               "Organization": "testing",
               "Model date": "today",
               "Model version": "v2.1, Developed by Test Corp in 2019.",
               "Architecture": "Convolutional Neural Network.",
           },
           "metrics": "BLEU and ROUGE-1",
           "evaluation_data": {
               "Datasets": {"BLEU": "My-great-dataset-v1", "ROUGE-1": "My-short-dataset-v2.1"},
               "Preprocessing": "See details on https://arxiv.org/pdf/1810.03993.pdf",
           },
           "training_data": {
               "Dataset": "English Wikipedia dump dated 2018-12-01",
               "Preprocessing": (
                   "Using SentencePiece vocabulary of size 52k tokens. See details on"
                   " https://arxiv.org/pdf/1810.03993.pdf"
               ),
           },
           "quantitative_analyses": {"BLEU": 55.1, "ROUGE-1": 76},
       }


   def 	_UpperCamelCase       (  self ):
       UpperCamelCase__      =			ModelCard.from_dict(self.inputs_dict )
       self.assertTrue(hasattr(__UpperCamelCase     ,						"model_details" ) )
       self.assertTrue(hasattr(__UpperCamelCase     ,						"intended_use" ) )
       self.assertTrue(hasattr(__UpperCamelCase     ,						"factors" ) )
       self.assertTrue(hasattr(__UpperCamelCase     ,						"metrics" ) )
       self.assertTrue(hasattr(__UpperCamelCase     ,						"evaluation_data" ) )
       self.assertTrue(hasattr(__UpperCamelCase     ,						"training_data" ) )
       self.assertTrue(hasattr(__UpperCamelCase     ,						"quantitative_analyses" ) )
       self.assertTrue(hasattr(__UpperCamelCase     ,						"ethical_considerations" ) )
       self.assertTrue(hasattr(__UpperCamelCase     ,						"caveats_and_recommendations" ) )


   def 	_UpperCamelCase       (  self ):
       UpperCamelCase__      =			ModelCard.from_dict(self.inputs_dict )
       UpperCamelCase__      =			json.loads(modelcard.to_json_string() )
       for key, value in self.inputs_dict.items():
           self.assertEqual(obj[key]     ,						__UpperCamelCase )


   def 	_UpperCamelCase       (  self ):
       UpperCamelCase__      =			ModelCard.from_dict(self.inputs_dict )

       with tempfile.TemporaryDirectory() as tmpdirname:
           UpperCamelCase__      =			os.path.join(__UpperCamelCase     ,						"modelcard.json" )
           model_card_first.to_json_file(__UpperCamelCase )
           UpperCamelCase__      =			ModelCard.from_json_file(__UpperCamelCase )

       self.assertEqual(model_card_second.to_dict()     ,						model_card_first.to_dict() )







   def 	_UpperCamelCase       (  self ):
       UpperCamelCase__      =			ModelCard.from_dict(self.inputs_dict )

       with tempfile.TemporaryDirectory() as tmpdirname:
           model_card_first.save_pretrained(__UpperCamelCase )
           UpperCamelCase__      =			ModelCard.from_pretrained(__UpperCamelCase )

       self.assertEqual(model_card_second.to_dict()     ,						model_card_first.to_dict() )









'''simple docstring'''







import heapq





def 						snake_case__ (lowerCAmelCase_					,  lowerCAmelCase_					,  lowerCAmelCase_	):
    UpperCamelCase__      =			[(0, start)]  # cost from start node,end node
    UpperCamelCase__      =			set()
    while heap:
        ((UpperCamelCase__)    ,  (UpperCamelCase__))      =			heapq.heappop(lowerCAmelCase_	)
        if u in visited:
            continue
        visited.add(lowerCAmelCase_	)
        if u == end:
            return cost
        for v, c in graph[u]:
            if v in visited:
                continue
            UpperCamelCase__      =			cost + c
            heapq.heappush(lowerCAmelCase_					,  (next_item, v)	)
    return -1


lowercase__     :  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]],
}
lowercase__     :  Optional[int]    					=			{
    'B': [['C', 1]],
    'C': [['D', 1]],
    'D': [['F', 1]],
    'E': [['B', 1], ['F', 3]],
    'F': [],
}
lowercase__     :  Union[str, Any]    					=			{
    'B': [['C', 1]],
    'C': [['D', 1]],
    'D': [['F', 1]],
    'E': [['B', 1], ['G', 2]],
    'F': [],
    'G': [['F', 1]],
}

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

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

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

if __name__ == "__main__":
      import doctest

      doctest.testmod()




