import json
import os
import tempfile
import unittest

from transformers.modelcard import ModelCard
class 							a_					(		unittest.TestCase		):






 '''simple docstring'''






 def 						__snake_case		(     self   :    Union[str, Any]):







        '''simple docstring'''



        lowerCAmelCase__	      =   {
            '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 						__snake_case		(     self   :    List[str]):







        '''simple docstring'''



        lowerCAmelCase__	      =   ModelCard.from_dict(self.inputs_dict)
        self.assertTrue(hasattr(lowercase__     ,       'model_details'))
        self.assertTrue(hasattr(lowercase__     ,       'intended_use'))
        self.assertTrue(hasattr(lowercase__     ,       'factors'))
        self.assertTrue(hasattr(lowercase__     ,       'metrics'))
        self.assertTrue(hasattr(lowercase__     ,       'evaluation_data'))
        self.assertTrue(hasattr(lowercase__     ,       'training_data'))
        self.assertTrue(hasattr(lowercase__     ,       'quantitative_analyses'))
        self.assertTrue(hasattr(lowercase__     ,       'ethical_considerations'))
        self.assertTrue(hasattr(lowercase__     ,       'caveats_and_recommendations'))




 def 						__snake_case		(     self   :    Union[str, Any]):







        '''simple docstring'''



        lowerCAmelCase__	      =   ModelCard.from_dict(self.inputs_dict)
        lowerCAmelCase__	      =   json.loads(modelcard.to_json_string())
        for key, value in self.inputs_dict.items():
               self.assertEqual(obj[key]     ,       lowercase__)




 def 						__snake_case		(     self   :    List[Any]):







        '''simple docstring'''



        lowerCAmelCase__	      =   ModelCard.from_dict(self.inputs_dict)

        with tempfile.TemporaryDirectory() as tmpdirname:
               lowerCAmelCase__	      =   os.path.join(lowercase__     ,       'modelcard.json')
               model_card_first.to_json_file(lowercase__)
               lowerCAmelCase__	      =   ModelCard.from_json_file(lowercase__)

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




 def 						__snake_case		(     self   :    int):







        '''simple docstring'''



        lowerCAmelCase__	      =   ModelCard.from_dict(self.inputs_dict)

        with tempfile.TemporaryDirectory() as tmpdirname:
               model_card_first.save_pretrained(lowercase__)
               lowerCAmelCase__	      =   ModelCard.from_pretrained(lowercase__)

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





from typing import TYPE_CHECKING

from ...utils import _LazyModule


_lowercase				:					List[Any]     					={"""tokenization_bert_japanese""": ["""BertJapaneseTokenizer""", """CharacterTokenizer""", """MecabTokenizer"""]}


if TYPE_CHECKING:
	from .tokenization_bert_japanese import BertJapaneseTokenizer, CharacterTokenizer, MecabTokenizer

else:
	import sys

	_lowercase				:					Union[str, Any]     					=_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

