





from dataclasses import asdict, dataclass
from typing import Optional

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


_SCREAMING_SNAKE_CASE      	=		logging.get_logger(__name__)

# TODO Update this
_SCREAMING_SNAKE_CASE      	=		{
    """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 SCREAMING_SNAKE_CASE_						(					_UpperCamelCase					):
						__magic_name__:			Optional[Any]       =       "esm"






						def __init__(      self      :      Union[str, Any]		,   _A      :      int=None		,   _A      :      Optional[Any]=None		,   _A      :      Any=None		,   _A      :      Optional[int]=768		,   _A      :      List[str]=12		,   _A      :      Optional[Any]=12		,   _A      :      Tuple=3072		,   _A      :      Optional[int]=0.1		,   _A      :      List[str]=0.1		,   _A      :      int=1026		,   _A      :      Dict=0.0_2		,   _A      :      List[str]=1E-12		,   _A      :      Dict="absolute"		,   _A      :      Tuple=True		,   _A      :      List[str]=None		,   _A      :      Optional[int]=False		,   _A      :      Optional[int]=False		,   _A      :      str=None		,   _A      :      Dict=None		,   **_A      :      List[Any]		,   )							->    Optional[int]:







							"""simple docstring"""


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

							snake_case_		:			Union[str, Any]											=	vocab_size
							snake_case_		:			Dict											=	hidden_size
							snake_case_		:			List[str]											=	num_hidden_layers
							snake_case_		:			Optional[Any]											=	num_attention_heads
							snake_case_		:			int											=	intermediate_size
							snake_case_		:			List[Any]											=	hidden_dropout_prob
							snake_case_		:			Dict											=	attention_probs_dropout_prob
							snake_case_		:			Optional[Any]											=	max_position_embeddings
							snake_case_		:			int											=	initializer_range
							snake_case_		:			List[str]											=	layer_norm_eps
							snake_case_		:			Any											=	position_embedding_type
							snake_case_		:			List[Any]											=	use_cache
							snake_case_		:			List[str]											=	emb_layer_norm_before
							snake_case_		:			Union[str, Any]											=	token_dropout
							snake_case_		:			Optional[int]											=	is_folding_model
							if is_folding_model:
								if esmfold_config is None:
									logger.info('No esmfold_config supplied for folding model, using default values.'	)
									snake_case_		:			str											=	EsmFoldConfig()
								elif isinstance(_UpperCAmelCase		,   _UpperCAmelCase	):
									snake_case_		:			Tuple											=	EsmFoldConfig(**_UpperCAmelCase	)
								snake_case_		:			List[str]											=	esmfold_config
								if vocab_list is None:
									logger.warning('No vocab_list supplied for folding model, assuming the ESM-2 vocabulary!'	)
									snake_case_		:			Optional[Any]											=	get_default_vocab_list()
								else:
									snake_case_		:			int											=	vocab_list
							else:
								snake_case_		:			Any											=	None
								snake_case_		:			int											=	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 UpperCAmelCase_				(      self      :      Optional[Any]	)							->    Optional[int]:







							"""simple docstring"""


							snake_case_		:			Union[str, Any]											=	super().to_dict()
							if isinstance(self.esmfold_config		,   _UpperCAmelCase	):
								snake_case_		:			Tuple											=	self.esmfold_config.to_dict()
							return output
@dataclass
class SCREAMING_SNAKE_CASE_						:
						__magic_name__:			Union[str, Any]       =       None
						__magic_name__:			Optional[Any]       =       True
						__magic_name__:			Tuple       =       False
						__magic_name__:			Dict       =       False
						__magic_name__:			Optional[Any]       =       False
						__magic_name__:			str       =       0

						__magic_name__:			Tuple       =       True
						__magic_name__:			Optional[Any]       =       False

						__magic_name__:			int       =       128
						__magic_name__:			Tuple       =       None






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







							"""simple docstring"""


							if self.trunk is None:
								snake_case_		:			Optional[int]											=	TrunkConfig()
							elif isinstance(self.trunk		,   _UpperCAmelCase	):
								snake_case_		:			int											=	TrunkConfig(**self.trunk	)






						def UpperCAmelCase_				(      self      :      str	)							->    Dict:







							"""simple docstring"""


							snake_case_		:			Optional[Any]											=	asdict(self	)
							snake_case_		:			Tuple											=	self.trunk.to_dict()
							return output
@dataclass
class SCREAMING_SNAKE_CASE_						:
						__magic_name__:			int       =       48
						__magic_name__:			List[str]       =       1024
						__magic_name__:			int       =       128
						__magic_name__:			str       =       32
						__magic_name__:			List[Any]       =       32
						__magic_name__:			List[Any]       =       32
						__magic_name__:			Optional[Any]       =       0
						__magic_name__:			Optional[Any]       =       0
						__magic_name__:			int       =       False
						__magic_name__:			Optional[int]       =       4
						__magic_name__:			Any       =       128
						__magic_name__:			Dict       =       None






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







							"""simple docstring"""


							if self.structure_module is None:
								snake_case_		:			List[str]											=	StructureModuleConfig()
							elif isinstance(self.structure_module		,   _UpperCAmelCase	):
								snake_case_		:			List[str]											=	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}."""	)

							snake_case_		:			str											=	self.sequence_state_dim // self.sequence_head_width
							snake_case_		:			Optional[int]											=	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 UpperCAmelCase_				(      self      :      Any	)							->    Any:







							"""simple docstring"""


							snake_case_		:			Optional[Any]											=	asdict(self	)
							snake_case_		:			Union[str, Any]											=	self.structure_module.to_dict()
							return output
@dataclass
class SCREAMING_SNAKE_CASE_						:
						__magic_name__:			List[str]       =       384
						__magic_name__:			Any       =       128
						__magic_name__:			List[Any]       =       16
						__magic_name__:			int       =       128
						__magic_name__:			Union[str, Any]       =       12
						__magic_name__:			Union[str, Any]       =       4
						__magic_name__:			Tuple       =       8
						__magic_name__:			int       =       0.1
						__magic_name__:			Dict       =       8
						__magic_name__:			List[str]       =       1
						__magic_name__:			Union[str, Any]       =       2
						__magic_name__:			Optional[Any]       =       7
						__magic_name__:			List[str]       =       10
						__magic_name__:			List[str]       =       1E-8
						__magic_name__:			str       =       1E5






						def UpperCAmelCase_				(      self      :      Dict	)							->    Tuple:







							"""simple docstring"""


							return asdict(self	)


def 							SCREAMING_SNAKE_CASE__						(    ):
	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>",
	)








import webbrowser
from sys import argv
from urllib.parse import parse_qs, quote

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

if __name__ == "__main__":
						_SCREAMING_SNAKE_CASE      	=		"""%20""".join(argv[1:]) if len(argv) > 1 else quote(str(input("""Search: """)))

						print("""Googling.....""")

						_SCREAMING_SNAKE_CASE      	=		F'''https://www.google.com/search?q={query}&num=100'''

						_SCREAMING_SNAKE_CASE      	=		requests.get(
						    url,
						    headers={"""User-Agent""": str(UserAgent().random)},
						)

						try:
												_SCREAMING_SNAKE_CASE      	=		(
												    BeautifulSoup(res.text, """html.parser""")
												    .find("""div""", attrs={"""class""": """yuRUbf"""})
												    .find("""a""")
												    .get("""href""")
												)

						except AttributeError:
												_SCREAMING_SNAKE_CASE      	=		parse_qs(
												    BeautifulSoup(res.text, """html.parser""")
												    .find("""div""", attrs={"""class""": """kCrYT"""})
												    .find("""a""")
												    .get("""href""")
												)["""url"""][0]

						webbrowser.open(link)

