



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


lowercase_						=       logging.get_logger(__name__)

lowercase_						=       {
    """bigcode/gpt_bigcode-santacoder""": """https://huggingface.co/bigcode/gpt_bigcode-santacoder/resolve/main/config.json""",
}
class 			_snake_case     (   lowercase__):
				UpperCamelCase__			:   Optional[Any]       						="""gpt_bigcode"""
				UpperCamelCase__			:   str       						=["""past_key_values"""]
				UpperCamelCase__			:   Optional[int]       						={
				    """hidden_size""": """n_embd""",
				    """max_position_embeddings""": """n_positions""",
				    """num_attention_heads""": """n_head""",
				    """num_hidden_layers""": """n_layer""",
				}




				def __init__(  self   :  Tuple,   __lowercase   :  Dict=5_0257,   __lowercase   :  List[Any]=1024,   __lowercase   :  Optional[Any]=768,   __lowercase   :  Dict=12,   __lowercase   :  str=12,   __lowercase   :  Tuple=None,   __lowercase   :  str="gelu_pytorch_tanh",   __lowercase   :  Tuple=0.1,   __lowercase   :  Any=0.1,   __lowercase   :  List[Any]=0.1,   __lowercase   :  Tuple=1e-5,   __lowercase   :  List[Any]=0.02,   __lowercase   :  List[Any]=True,   __lowercase   :  Optional[Any]=True,   __lowercase   :  Any=5_0256,   __lowercase   :  str=5_0256,   __lowercase   :  Union[str, Any]=True,   __lowercase   :  int=True,   __lowercase   :  Optional[int]=True,   **__lowercase   :  int,   ):
							lowercase__   					=			vocab_size
							lowercase__   					=			n_positions
							lowercase__   					=			n_embd
							lowercase__   					=			n_layer
							lowercase__   					=			n_head
							lowercase__   					=			n_inner
							lowercase__   					=			activation_function
							lowercase__   					=			resid_pdrop
							lowercase__   					=			embd_pdrop
							lowercase__   					=			attn_pdrop
							lowercase__   					=			layer_norm_epsilon
							lowercase__   					=			initializer_range
							lowercase__   					=			scale_attn_weights
							lowercase__   					=			use_cache
							lowercase__   					=			attention_softmax_in_fpaa
							lowercase__   					=			scale_attention_softmax_in_fpaa
							lowercase__   					=			multi_query

							lowercase__   					=			bos_token_id
							lowercase__   					=			eos_token_id

							super().__init__(bos_token_id=__lowercase,   eos_token_id=__lowercase,   **__lowercase  )









from collections import namedtuple

import requests
from lxml import html  # type: ignore

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



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_ = "https://www.worldometers.info/coronavirus/"					):
			lowercase__   					=			"//div[@class = \"maincounter-number\"]/span/text()"
			return covid_data(*html.fromstring(requests.get(SCREAMING_SNAKE_CASE_					).content					).xpath(SCREAMING_SNAKE_CASE_					)					)


lowercase_						=       """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()))




