





from dataclasses import asdict, dataclass
from typing import Optional

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


_lowerCamelCase			:	Union[str, Any]							 =     logging.get_logger(__name__)

# TODO Update this
_lowerCamelCase			:	int							 =     {
    """facebook/esm-1b""": """https://huggingface.co/facebook/esm-1b/resolve/main/config.json""",
    # See all ESM models at https://huggingface.co/models?filter=esm
}


class        UpperCamelCase_					(				UpperCAmelCase__  ):

    '''simple docstring'''






    UpperCAmelCase__													=   "esm"


    def __init__(    self   :			Optional[Any]      ,				UpperCAmelCase__   :			Optional[int]=None      ,				UpperCAmelCase__   :			Optional[Any]=None      ,				UpperCAmelCase__   :			Dict=None      ,				UpperCAmelCase__   :			Any=768      ,				UpperCAmelCase__   :			List[str]=12      ,				UpperCAmelCase__   :			Dict=12      ,				UpperCAmelCase__   :			List[Any]=3_072      ,				UpperCAmelCase__   :			Any=0.1      ,				UpperCAmelCase__   :			Tuple=0.1      ,				UpperCAmelCase__   :			Any=1_026      ,				UpperCAmelCase__   :			Optional[Any]=0.02      ,				UpperCAmelCase__   :			Optional[int]=1e-12      ,				UpperCAmelCase__   :			List[str]="absolute"      ,				UpperCAmelCase__   :			int=True      ,				UpperCAmelCase__   :			Optional[int]=None      ,				UpperCAmelCase__   :			List[Any]=False      ,				UpperCAmelCase__   :			Optional[int]=False      ,				UpperCAmelCase__   :			Optional[Any]=None      ,				UpperCAmelCase__   :			Dict=None      ,				**UpperCAmelCase__   :			Optional[int]      ,				)		->Optional[int]:





           '''simple docstring'''

           super().__init__(pad_token_id=UpperCAmelCase__      ,				mask_token_id=UpperCAmelCase__      ,				**UpperCAmelCase__)

           A__   				=					vocab_size
           A__   				=					hidden_size
           A__   				=					num_hidden_layers
           A__   				=					num_attention_heads
           A__   				=					intermediate_size
           A__   				=					hidden_dropout_prob
           A__   				=					attention_probs_dropout_prob
           A__   				=					max_position_embeddings
           A__   				=					initializer_range
           A__   				=					layer_norm_eps
           A__   				=					position_embedding_type
           A__   				=					use_cache
           A__   				=					emb_layer_norm_before
           A__   				=					token_dropout
           A__   				=					is_folding_model
           if is_folding_model:
                  if esmfold_config is None:
                         logger.info('''No esmfold_config supplied for folding model, using default values.''')
                         A__   				=					EsmFoldConfig()
                  elif isinstance(UpperCAmelCase__      ,				UpperCAmelCase__):
                         A__   				=					EsmFoldConfig(**UpperCAmelCase__)
                  A__   				=					esmfold_config
                  if vocab_list is None:
                         logger.warning('''No vocab_list supplied for folding model, assuming the ESM-2 vocabulary!''')
                         A__   				=					get_default_vocab_list()
                  else:
                         A__   				=					vocab_list
           else:
                  A__   				=					None
                  A__   				=					None
           if self.esmfold_config is not None and getattr(self.esmfold_config      ,				'''use_esm_attn_map'''      ,				UpperCAmelCase__):
                  raise ValueError('''The HuggingFace port of ESMFold does not support use_esm_attn_map at this time!''')





    def  SCREAMING_SNAKE_CASE							(    self   :			Any)		->List[str]:





           '''simple docstring'''

           A__   				=					super().to_dict()
           if isinstance(self.esmfold_config      ,				UpperCAmelCase__):
                  A__   				=					self.esmfold_config.to_dict()
           return output


@dataclass
class        UpperCamelCase_					:

    '''simple docstring'''






    UpperCAmelCase__													=   None
    UpperCAmelCase__													=   True
    UpperCAmelCase__													=   False
    UpperCAmelCase__													=   False
    UpperCAmelCase__													=   False
    UpperCAmelCase__													=   0

    UpperCAmelCase__													=   True
    UpperCAmelCase__													=   False

    UpperCAmelCase__													=   128
    UpperCAmelCase__													=   None


    def  SCREAMING_SNAKE_CASE							(    self   :			Any)		->Optional[int]:





           '''simple docstring'''

           if self.trunk is None:
                  A__   				=					TrunkConfig()
           elif isinstance(self.trunk      ,				UpperCAmelCase__):
                  A__   				=					TrunkConfig(**self.trunk)





    def  SCREAMING_SNAKE_CASE							(    self   :			List[str])		->Dict:





           '''simple docstring'''

           A__   				=					asdict(self)
           A__   				=					self.trunk.to_dict()
           return output


@dataclass
class        UpperCamelCase_					:

    '''simple docstring'''






    UpperCAmelCase__													=   48
    UpperCAmelCase__													=   1024
    UpperCAmelCase__													=   128
    UpperCAmelCase__													=   32
    UpperCAmelCase__													=   32
    UpperCAmelCase__													=   32
    UpperCAmelCase__													=   0
    UpperCAmelCase__													=   0
    UpperCAmelCase__													=   False
    UpperCAmelCase__													=   4
    UpperCAmelCase__													=   128
    UpperCAmelCase__													=   None


    def  SCREAMING_SNAKE_CASE							(    self   :			Optional[int])		->Union[str, Any]:





           '''simple docstring'''

           if self.structure_module is None:
                  A__   				=					StructureModuleConfig()
           elif isinstance(self.structure_module      ,				UpperCAmelCase__):
                  A__   				=					StructureModuleConfig(**self.structure_module)

           if self.max_recycles <= 0:
                  raise ValueError(f"""`max_recycles` should be positive, got {self.max_recycles}.""")
           if self.sequence_state_dim % self.sequence_state_dim != 0:
                  raise ValueError(
                      '''`sequence_state_dim` should be a round multiple of `sequence_state_dim`, got'''
                      f""" {self.sequence_state_dim} and {self.sequence_state_dim}.""")
           if self.pairwise_state_dim % self.pairwise_state_dim != 0:
                  raise ValueError(
                      '''`pairwise_state_dim` should be a round multiple of `pairwise_state_dim`, got'''
                      f""" {self.pairwise_state_dim} and {self.pairwise_state_dim}.""")

           A__   				=					self.sequence_state_dim // self.sequence_head_width
           A__   				=					self.pairwise_state_dim // self.pairwise_head_width

           if self.sequence_state_dim != sequence_num_heads * self.sequence_head_width:
                  raise ValueError(
                      '''`sequence_state_dim` should be equal to `sequence_num_heads * sequence_head_width, got'''
                      f""" {self.sequence_state_dim} != {sequence_num_heads} * {self.sequence_head_width}.""")
           if self.pairwise_state_dim != pairwise_num_heads * self.pairwise_head_width:
                  raise ValueError(
                      '''`pairwise_state_dim` should be equal to `pairwise_num_heads * pairwise_head_width, got'''
                      f""" {self.pairwise_state_dim} != {pairwise_num_heads} * {self.pairwise_head_width}.""")
           if self.pairwise_state_dim % 2 != 0:
                  raise ValueError(f"""`pairwise_state_dim` should be even, got {self.pairwise_state_dim}.""")

           if self.dropout >= 0.4:
                  raise ValueError(f"""`dropout` should not be greater than 0.4, got {self.dropout}.""")





    def  SCREAMING_SNAKE_CASE							(    self   :			List[Any])		->List[Any]:





           '''simple docstring'''

           A__   				=					asdict(self)
           A__   				=					self.structure_module.to_dict()
           return output


@dataclass
class        UpperCamelCase_					:

    '''simple docstring'''






    UpperCAmelCase__													=   384
    UpperCAmelCase__													=   128
    UpperCAmelCase__													=   16
    UpperCAmelCase__													=   128
    UpperCAmelCase__													=   12
    UpperCAmelCase__													=   4
    UpperCAmelCase__													=   8
    UpperCAmelCase__													=   0.1
    UpperCAmelCase__													=   8
    UpperCAmelCase__													=   1
    UpperCAmelCase__													=   2
    UpperCAmelCase__													=   7
    UpperCAmelCase__													=   10
    UpperCAmelCase__													=   1E-8
    UpperCAmelCase__													=   1E5


    def  SCREAMING_SNAKE_CASE							(    self   :			Any)		->Optional[Any]:





           '''simple docstring'''

           return asdict(self)







def SCREAMING_SNAKE_CASE       ( )     -> Tuple:



       """simple docstring"""

       return (
           "<cls>",
           "<pad>",
           "<eos>",
           "<unk>",
           "L",
           "A",
           "G",
           "V",
           "S",
           "E",
           "R",
           "T",
           "I",
           "D",
           "P",
           "K",
           "Q",
           "N",
           "F",
           "Y",
           "M",
           "H",
           "W",
           "C",
           "X",
           "B",
           "U",
           "Z",
           "O",
           ".",
           "-",
           "<null_1>",
           "<mask>",
       )








from collections import namedtuple

import requests
from lxml import html  # type: ignore

_lowerCamelCase			:	Optional[int]							 =     namedtuple("""covid_data""", """cases deaths recovered""")







def SCREAMING_SNAKE_CASE       ( lowercase_ = "https://www.worldometers.info/coronavirus/"		)     -> covid_data:



       """simple docstring"""

       A__   				=					'''//div[@class = "maincounter-number"]/span/text()'''
       return covid_data(*html.fromstring(requests.get(lowercase_		).content		).xpath(lowercase_		)		)


_lowerCamelCase			:	Optional[int]							 =     """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()))


