"""simple docstring"""
import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


SCREAMING_SNAKE_CASE__   =					get_tests_dir("fixtures/test_sentencepiece_bpe.model")



class 					lowerCAmelCase_      (     lowerCAmelCase       ,      unittest.TestCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Union[str, Any]     					=  BartphoTokenizer
				_lowerCAmelCase       :      List[Any]     					=  False
				_lowerCAmelCase       :      Optional[Any]     					=  True

				def 						snake_case	(			self      ):






										"""simple docstring"""

										super().setUp()

										snake_case        =     ['▁This', '▁is', '▁a', '▁t', 'est']
										snake_case        =     dict(zip(lowerCAmelCase						,      range(len(lowerCAmelCase      )      )      )      )
										snake_case        =     {'unk_token': '<unk>'}

										snake_case        =     os.path.join(self.tmpdirname						,      VOCAB_FILES_NAMES['monolingual_vocab_file']      )
										with open(self.monolingual_vocab_file						,      'w'						,      encoding='utf-8'      ) as fp:
																for token in vocab_tokens:
																						fp.write(F"""{token} {vocab_tokens[token]}\n"""      )

										snake_case        =     BartphoTokenizer(lowerCAmelCase						,      self.monolingual_vocab_file						,      **self.special_tokens_map      )
										tokenizer.save_pretrained(self.tmpdirname      )

				def 						snake_case	(			self						,      **lowerCAmelCase      ):






										"""simple docstring"""

										kwargs.update(self.special_tokens_map      )
										return BartphoTokenizer.from_pretrained(self.tmpdirname						,      **lowerCAmelCase      )

				def 						snake_case	(			self						,      lowerCAmelCase      ):






										"""simple docstring"""

										snake_case        =     'This is a là test'
										snake_case        =     'This is a<unk><unk> test'
										return input_text, output_text

				def 						snake_case	(			self      ):






										"""simple docstring"""

										snake_case        =     BartphoTokenizer(lowerCAmelCase						,      self.monolingual_vocab_file						,      **self.special_tokens_map      )
										snake_case        =     'This is a là test'
										snake_case        =     '▁This ▁is ▁a ▁l à ▁t est'.split()
										snake_case        =     tokenizer.tokenize(lowerCAmelCase      )
										self.assertListEqual(lowerCAmelCase						,      lowerCAmelCase      )

										snake_case        =     tokens + [tokenizer.unk_token]
										snake_case        =     [4, 5, 6, 3, 3, 7, 8, 3]
										self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase      )						,      lowerCAmelCase      )



"""simple docstring"""
import requests
from bsa import BeautifulSoup





def 				lowerCAmelCase__      (     _UpperCamelCase    :			str = "https://www.worldometers.info/coronavirus"   )   ->			dict:





						"""simple docstring"""






						snake_case        =     BeautifulSoup(requests.get(_UpperCamelCase   ).text	,     'html.parser'   )
						snake_case        =     soup.findAll('h1'   )
						snake_case        =     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(_UpperCamelCase	,     _UpperCamelCase   )}


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""")


