





'''simple docstring'''






import shutil
import tempfile
import unittest

from transformers import ClapFeatureExtractor, ClapProcessor, RobertaTokenizer, RobertaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torchaudio

from .test_feature_extraction_clap import floats_list




@require_torchaudio
@require_sentencepiece
class  UpperCAmelCase     (			unittest.TestCase   ):




      def 				lowercase__    (			self			: Tuple  )				->      int:
            _lowerCAmelCase							     =							"""laion/clap-htsat-unfused"""
            _lowerCAmelCase							     =							tempfile.mkdtemp()




      def 				lowercase__    (			self			: int			,			**__snake_case			: Dict  )				->      List[Any]:
            return RobertaTokenizer.from_pretrained(self.checkpoint			,			**__snake_case  )




      def 				lowercase__    (			self			: int			,			**__snake_case			: List[Any]  )				->      Any:
            return ClapFeatureExtractor.from_pretrained(self.checkpoint			,			**__snake_case  )




      def 				lowercase__    (			self			: Any  )				->      List[str]:
            shutil.rmtree(self.tmpdirname  )




      def 				lowercase__    (			self			: Optional[int]  )				->      Dict:
            _lowerCAmelCase							     =							self.get_tokenizer()
            _lowerCAmelCase							     =							self.get_feature_extractor()

            _lowerCAmelCase							     =							ClapProcessor(tokenizer=__snake_case			,			feature_extractor=__snake_case  )

            processor.save_pretrained(self.tmpdirname  )
            _lowerCAmelCase							     =							ClapProcessor.from_pretrained(self.tmpdirname  )

            self.assertEqual(processor.tokenizer.get_vocab()			,			tokenizer.get_vocab()  )
            self.assertIsInstance(processor.tokenizer			,			__snake_case  )

            self.assertEqual(processor.feature_extractor.to_json_string()			,			feature_extractor.to_json_string()  )
            self.assertIsInstance(processor.feature_extractor			,			__snake_case  )




      def 				lowercase__    (			self			: int  )				->      List[str]:
            _lowerCAmelCase							     =							ClapProcessor(tokenizer=self.get_tokenizer()			,			feature_extractor=self.get_feature_extractor()  )
            processor.save_pretrained(self.tmpdirname  )

            _lowerCAmelCase							     =							self.get_tokenizer(bos_token="""(BOS)"""			,			eos_token="""(EOS)"""  )
            _lowerCAmelCase							     =							self.get_feature_extractor(do_normalize=__snake_case			,			padding_value=1.0  )

            _lowerCAmelCase							     =							ClapProcessor.from_pretrained(
                self.tmpdirname			,			bos_token="""(BOS)"""			,			eos_token="""(EOS)"""			,			do_normalize=__snake_case			,			padding_value=1.0  )

            self.assertEqual(processor.tokenizer.get_vocab()			,			tokenizer_add_kwargs.get_vocab()  )
            self.assertIsInstance(processor.tokenizer			,			__snake_case  )

            self.assertEqual(processor.feature_extractor.to_json_string()			,			feature_extractor_add_kwargs.to_json_string()  )
            self.assertIsInstance(processor.feature_extractor			,			__snake_case  )




      def 				lowercase__    (			self			: List[Any]  )				->      Union[str, Any]:
            _lowerCAmelCase							     =							self.get_feature_extractor()
            _lowerCAmelCase							     =							self.get_tokenizer()

            _lowerCAmelCase							     =							ClapProcessor(tokenizer=__snake_case			,			feature_extractor=__snake_case  )

            _lowerCAmelCase							     =							floats_list((3, 10_00)  )

            _lowerCAmelCase							     =							feature_extractor(__snake_case			,			return_tensors="""np"""  )
            _lowerCAmelCase							     =							processor(audios=__snake_case			,			return_tensors="""np"""  )

            for key in input_feat_extract.keys():
                  self.assertAlmostEqual(input_feat_extract[key].sum()			,			input_processor[key].sum()			,			delta=1E-2  )




      def 				lowercase__    (			self			: str  )				->      Any:
            _lowerCAmelCase							     =							self.get_feature_extractor()
            _lowerCAmelCase							     =							self.get_tokenizer()

            _lowerCAmelCase							     =							ClapProcessor(tokenizer=__snake_case			,			feature_extractor=__snake_case  )

            _lowerCAmelCase							     =							"""This is a test string"""

            _lowerCAmelCase							     =							processor(text=__snake_case  )

            _lowerCAmelCase							     =							tokenizer(__snake_case  )

            for key in encoded_tok.keys():
                  self.assertListEqual(encoded_tok[key]			,			encoded_processor[key]  )




      def 				lowercase__    (			self			: Optional[Any]  )				->      int:
            _lowerCAmelCase							     =							self.get_feature_extractor()
            _lowerCAmelCase							     =							self.get_tokenizer()

            _lowerCAmelCase							     =							ClapProcessor(tokenizer=__snake_case			,			feature_extractor=__snake_case  )

            _lowerCAmelCase							     =							[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

            _lowerCAmelCase							     =							processor.batch_decode(__snake_case  )
            _lowerCAmelCase							     =							tokenizer.batch_decode(__snake_case  )

            self.assertListEqual(__snake_case			,			__snake_case  )




      def 				lowercase__    (			self			: Any  )				->      Union[str, Any]:
            _lowerCAmelCase							     =							self.get_feature_extractor()
            _lowerCAmelCase							     =							self.get_tokenizer()

            _lowerCAmelCase							     =							ClapProcessor(tokenizer=__snake_case			,			feature_extractor=__snake_case  )

            self.assertListEqual(
                processor.model_input_names[2:]			,			feature_extractor.model_input_names			,			msg="""`processor` and `feature_extractor` model input names do not match"""			,			)








import requests
from bsa import BeautifulSoup



def        UpperCamelCase    (							lowerCAmelCase__ = "https://www.worldometers.info/coronavirus"		):
					'''simple docstring'''
					lowercase							=						BeautifulSoup(requests.get(lowerCAmelCase__		).text ,			'''html.parser'''		)
					lowercase							=						soup.findAll('''h1'''		)
					lowercase							=						soup.findAll('''div''' ,			{'''class''': '''maincounter-number'''}		)
					keys += soup.findAll('''span''' ,			{'''class''': '''panel-title'''}		)
					values += soup.findAll('''div''' ,			{'''class''': '''number-table-main'''}		)
					return {key.text.strip(): value.text.strip() for key, value in zip(lowerCAmelCase__ ,			lowerCAmelCase__		)}


if __name__ == "__main__":
							print("\033[1m" + "COVID-19 Status of the World" + "\033[0m\n")
							for key, value in world_covidaa_stats().items():
														print(F'{key}\n{value}\n')




