

'''simple docstring'''
from collections import namedtuple

import requests
from lxml import html  # type: ignore

_lowerCamelCase      					=     namedtuple("""covid_data""", """cases deaths recovered""")


def  a__       (    _SCREAMING_SNAKE_CASE   :       str = "https://www.worldometers.info/coronavirus/"				)     ->					covid_data:


	"""simple docstring"""





	UpperCAmelCase_     :      Union[str, Any]						=  "//div[@class = \"maincounter-number\"]/span/text()"
	return covid_data(*html.fromstring(requests.get(_SCREAMING_SNAKE_CASE				).content				).xpath(_SCREAMING_SNAKE_CASE				)				)


_lowerCamelCase      					=     """Total COVID-19 cases in the world: {}
Total deaths due to COVID-19 in the world: {}
Total COVID-19 patients recovered in the world: {}"""





print(fmt.format(*covid_stats()))









"""simple docstring"""







from typing import Callable, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


a_							=    logging.get_logger(__name__)

a_							=    {
    """microsoft/xprophetnet-large-wiki100-cased""": (
        """https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/config.json"""
    ),
}







class 					A_(SCREAMING_SNAKE_CASE_      ):







			"""simple docstring"""



			a_       :			List[Any]												=			"""xlm-prophetnet"""
			a_       :			Any												=			["""past_key_values"""]
			a_       :			Optional[int]												=			{
			    """num_attention_heads""": """num_encoder_attention_heads""",
			}
			def __init__(	self				,   A = 0.1				,   A = "gelu"				,   A = 3_0522				,   A = 1024				,   A = 4096				,   A = 12				,   A = 16				,   A = 4096				,   A = 12				,   A = 16				,   A = 0.1				,   A = 0.1				,   A = 512				,   A = 0.0_2				,   A = True				,   A = True				,   A = 0				,   A = 2				,   A = 32				,   A = 128				,   A = False				,   A = 0.0				,   A = True				,   A = 0				,   A = 1				,   A = 2				,   **A				,   ):
						_lowerCamelCase					:					Dict	       =    vocab_size
						_lowerCamelCase					:					List[Any]	       =    hidden_size
						_lowerCamelCase					:					List[Any]	       =    encoder_ffn_dim
						_lowerCamelCase					:					Any	       =    num_encoder_layers
						_lowerCamelCase					:					Any	       =    num_encoder_attention_heads
						_lowerCamelCase					:					List[str]	       =    decoder_ffn_dim
						_lowerCamelCase					:					Optional[int]	       =    num_decoder_layers
						_lowerCamelCase					:					List[str]	       =    num_decoder_attention_heads
						_lowerCamelCase					:					Optional[Any]	       =    max_position_embeddings
						_lowerCamelCase					:					Optional[Any]	       =    init_std  # Normal(0, this parameter)
						_lowerCamelCase					:					Optional[int]	       =    activation_function

						# parameters for xlmprophetnet
						_lowerCamelCase					:					Any	       =    ngram
						_lowerCamelCase					:					Dict	       =    num_buckets
						_lowerCamelCase					:					Dict	       =    relative_max_distance
						_lowerCamelCase					:					Optional[Any]	       =    disable_ngram_loss
						_lowerCamelCase					:					Union[str, Any]	       =    eps

						# 3 Types of Dropout
						_lowerCamelCase					:					int	       =    attention_dropout
						_lowerCamelCase					:					str	       =    activation_dropout
						_lowerCamelCase					:					Optional[int]	       =    dropout

						_lowerCamelCase					:					List[Any]	       =    use_cache

						super().__init__(
						    pad_token_id=A				,   bos_token_id=A				,   eos_token_id=A				,   is_encoder_decoder=A				,   add_cross_attention=A				,   decoder_start_token_id=A				,   **A				,   )
			@property
			def    _lowerCAmelCase		(	self							):
						return self.num_encoder_layers + self.num_decoder_layers

			@num_hidden_layers.setter
			def    _lowerCAmelCase		(	self				,   A							):
						raise NotImplementedError(
						    'This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'
						    ' `num_decoder_layers`.'							)





