



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


a_			=					logging.get_logger(__name__)

a_			=					{
    """facebook/nllb-moe-54B""": """https://huggingface.co/facebook/nllb-moe-54b/resolve/main/config.json""",
}



class  __lowerCAmelCase     (	lowerCAmelCase__   ):
	lowerCAmelCase__       					=  """nllb-moe"""
	lowerCAmelCase__       					=  ["""past_key_values"""]
	lowerCAmelCase__       					=  {"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}




	def __init__(						self	,				__UpperCAmelCase=128112	,				__UpperCAmelCase=1024	,				__UpperCAmelCase=12	,				__UpperCAmelCase=4096	,				__UpperCAmelCase=16	,				__UpperCAmelCase=12	,				__UpperCAmelCase=4096	,				__UpperCAmelCase=16	,				__UpperCAmelCase=0.05	,				__UpperCAmelCase=0.05	,				__UpperCAmelCase=True	,				__UpperCAmelCase=True	,				__UpperCAmelCase="relu"	,				__UpperCAmelCase=1024	,				__UpperCAmelCase=0.1	,				__UpperCAmelCase=0.1	,				__UpperCAmelCase=0.0	,				__UpperCAmelCase=0.02	,				__UpperCAmelCase=2	,				__UpperCAmelCase=True	,				__UpperCAmelCase=False	,				__UpperCAmelCase="float32"	,				__UpperCAmelCase=False	,				__UpperCAmelCase=128	,				__UpperCAmelCase=64	,				__UpperCAmelCase=4	,				__UpperCAmelCase=4	,				__UpperCAmelCase=0.001	,				__UpperCAmelCase=0.001	,				__UpperCAmelCase="all"	,				__UpperCAmelCase=False	,				__UpperCAmelCase=False	,				__UpperCAmelCase=1.0	,				__UpperCAmelCase=0.2	,				__UpperCAmelCase=1	,				__UpperCAmelCase=0	,				__UpperCAmelCase=2	,				__UpperCAmelCase=False	,				**__UpperCAmelCase	,				):



				'''simple docstring'''
				__lowerCamelCase													=    vocab_size
				__lowerCamelCase													=    max_position_embeddings
				__lowerCamelCase													=    d_model
				__lowerCamelCase													=    encoder_ffn_dim
				__lowerCamelCase													=    encoder_layers
				__lowerCamelCase													=    encoder_attention_heads
				__lowerCamelCase													=    decoder_ffn_dim
				__lowerCamelCase													=    decoder_layers
				__lowerCamelCase													=    decoder_attention_heads
				__lowerCamelCase													=    dropout
				__lowerCamelCase													=    attention_dropout
				__lowerCamelCase													=    activation_dropout
				__lowerCamelCase													=    activation_function
				__lowerCamelCase													=    init_std
				__lowerCamelCase													=    encoder_layerdrop
				__lowerCamelCase													=    decoder_layerdrop
				__lowerCamelCase													=    use_cache
				__lowerCamelCase													=    encoder_layers
				__lowerCamelCase													=    scale_embedding  # scale factor will be sqrt(d_model) if True
				__lowerCamelCase													=    router_z_loss_coef
				__lowerCamelCase													=    router_aux_loss_coef
				__lowerCamelCase													=    decoder_sparse_step
				__lowerCamelCase													=    encoder_sparse_step
				__lowerCamelCase													=    num_experts
				__lowerCamelCase													=    expert_capacity
				__lowerCamelCase													=    router_bias
				if router_dtype not in ["float32", "float16", "bfloat16"]:
							raise ValueError(F"""`router_dtype` must be one of 'float32', 'float16' or 'bfloat16', got {router_dtype}"""				)
				__lowerCamelCase													=    router_dtype

				__lowerCamelCase													=    router_ignore_padding_tokens
				__lowerCamelCase													=    batch_prioritized_routing
				__lowerCamelCase													=    second_expert_policy
				__lowerCamelCase													=    normalize_router_prob_before_dropping
				__lowerCamelCase													=    moe_eval_capacity_token_fraction
				__lowerCamelCase													=    moe_token_dropout
				__lowerCamelCase													=    output_router_logits
				super().__init__(
				    pad_token_id=__UpperCAmelCase	,				bos_token_id=__UpperCAmelCase	,				eos_token_id=__UpperCAmelCase	,				is_encoder_decoder=__UpperCAmelCase	,				decoder_start_token_id=__UpperCAmelCase	,				**__UpperCAmelCase	,				)











from collections import namedtuple

import requests
from lxml import html  # type: ignore

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





def 		a__			(		_UpperCamelCase			: str = "https://www.worldometers.info/coronavirus/"							):
   __lowerCamelCase													=    '''//div[@class = "maincounter-number"]/span/text()'''
   return covid_data(*html.fromstring(requests.get(_UpperCamelCase							).content							).xpath(_UpperCamelCase							)							)


a_			=					"""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()))






