import unittest

from transformers import AutoConfig, AutoTokenizer, BertConfig, TensorType, is_flax_available
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, slow


if is_flax_available():
    import jax

    from transformers.models.auto.modeling_flax_auto import FlaxAutoModel
    from transformers.models.bert.modeling_flax_bert import FlaxBertModel
    from transformers.models.roberta.modeling_flax_roberta import FlaxRobertaModel


@require_flax
class 			lowerCamelCase_  (     unittest.TestCase				):






    '''simple docstring'''






    @slow
    def     UpperCamelCase__     (			self) ->			str:
        for model_name in ["bert-base-cased", "bert-large-uncased"]:
            with self.subTest(__lowercase):
                __UpperCamelCase  :Union[str, Any]    						=	AutoConfig.from_pretrained(__lowercase)
                self.assertIsNotNone(__lowercase)
                self.assertIsInstance(__lowercase				,				__lowercase)

                __UpperCamelCase  :int    						=	FlaxAutoModel.from_pretrained(__lowercase)
                self.assertIsNotNone(__lowercase)
                self.assertIsInstance(__lowercase				,				__lowercase)







    @slow
    def     UpperCamelCase__     (			self) ->			Any:
        for model_name in ["roberta-base", "roberta-large"]:
            with self.subTest(__lowercase):
                __UpperCamelCase  :Union[str, Any]    						=	AutoConfig.from_pretrained(__lowercase)
                self.assertIsNotNone(__lowercase)
                self.assertIsInstance(__lowercase				,				__lowercase)

                __UpperCamelCase  :Union[str, Any]    						=	FlaxAutoModel.from_pretrained(__lowercase)
                self.assertIsNotNone(__lowercase)
                self.assertIsInstance(__lowercase				,				__lowercase)







    @slow
    def     UpperCamelCase__     (			self) ->			List[Any]:
        for model_name in ["bert-base-cased", "bert-large-uncased"]:
            __UpperCamelCase  :Union[str, Any]    						=	AutoTokenizer.from_pretrained(__lowercase)
            __UpperCamelCase  :Optional[int]    						=	FlaxBertModel.from_pretrained(__lowercase)
            __UpperCamelCase  :Optional[int]    						=	tokenizer('''Do you support jax jitted function?'''				,				return_tensors=TensorType.JAX)

            @jax.jit
            def eval(**__lowercase):
                return model(**__lowercase)

            eval(**__lowercase).block_until_ready()







    @slow
    def     UpperCamelCase__     (			self) ->			List[str]:
        for model_name in ["roberta-base", "roberta-large"]:
            __UpperCamelCase  :int    						=	AutoTokenizer.from_pretrained(__lowercase)
            __UpperCamelCase  :int    						=	FlaxRobertaModel.from_pretrained(__lowercase)
            __UpperCamelCase  :Dict    						=	tokenizer('''Do you support jax jitted function?'''				,				return_tensors=TensorType.JAX)

            @jax.jit
            def eval(**__lowercase):
                return model(**__lowercase)

            eval(**__lowercase).block_until_ready()







    def     UpperCamelCase__     (			self) ->			List[Any]:
        with self.assertRaisesRegex(
            __lowercase				,				'''bert-base is not a local folder and is not a valid model identifier'''):
            __UpperCamelCase  :Optional[int]    						=	FlaxAutoModel.from_pretrained('''bert-base''')







    def     UpperCamelCase__     (			self) ->			Dict:
        with self.assertRaisesRegex(
            __lowercase				,				r'''aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'''):
            __UpperCamelCase  :Optional[int]    						=	FlaxAutoModel.from_pretrained(__lowercase				,				revision='''aaaaaa''')







    def     UpperCamelCase__     (			self) ->			Dict:
        with self.assertRaisesRegex(
            __lowercase				,				'''hf-internal-testing/config-no-model does not appear to have a file named flax_model.msgpack'''				,				):
            __UpperCamelCase  :int    						=	FlaxAutoModel.from_pretrained('''hf-internal-testing/config-no-model''')







    def     UpperCamelCase__     (			self) ->			Union[str, Any]:
        with self.assertRaisesRegex(__lowercase				,				'''Use `from_pt=True` to load this model'''):
            __UpperCamelCase  :Optional[int]    						=	FlaxAutoModel.from_pretrained('''hf-internal-testing/tiny-bert-pt-only''')






import requests
from bsa import BeautifulSoup



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    __UpperCamelCase  :List[Any]    						=	BeautifulSoup(requests.get(SCREAMING_SNAKE_CASE						,    params=SCREAMING_SNAKE_CASE			).content						,    '''html.parser'''			)
    __UpperCamelCase  :int    						=	soup.find('''div'''						,    attrs={'''class''': '''gs_ri'''}			)
    __UpperCamelCase  :Union[str, Any]    						=	div.find('''div'''						,    attrs={'''class''': '''gs_fl'''}			).find_all('''a'''			)
    return anchors[2].get_text()


if __name__ == "__main__":
    __lowercase											=      {
        '''title''': (
            '''Precisely geometry controlled microsupercapacitors for ultrahigh areal '''
            '''capacitance, volumetric capacitance, and energy density'''
        ),
        '''journal''': '''Chem. Mater.''',
        '''volume''': 30,
        '''pages''': '''3979-3990''',
        '''year''': 2018,
        '''hl''': '''en''',
    }
    print(get_citation('''https://scholar.google.com/scholar_lookup''', params=params))





