


'''simple docstring'''



import requests
from bsa import BeautifulSoup







def       _UpperCamelCase (						UpperCamelCase__ = "https://www.worldometers.info/coronavirus"   ):
			UpperCAmelCase__					:   List[str]       				=       BeautifulSoup(requests.get(__a   ).text	, """html.parser"""   )
			UpperCAmelCase__					:   Dict       				=       soup.findAll("""h1"""   )
			UpperCAmelCase__					:   Union[str, Any]       				=       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(__a	, __a   )}


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""")



'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__A		={
    'configuration_m2m_100': ['M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP', 'M2M100Config', 'M2M100OnnxConfig'],
    'tokenization_m2m_100': ['M2M100Tokenizer'],
}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__A		=[
		    'M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'M2M100ForConditionalGeneration',
		    'M2M100Model',
		    'M2M100PreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
		from .tokenization_mam_aaa import MaMaaaTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mam_aaa import (
				    M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MaMaaaForConditionalGeneration,
				    MaMaaaModel,
				    MaMaaaPreTrainedModel,
				)


else:
		import sys

		__A		=_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)