"""simple docstring"""







from dataclasses import asdict, dataclass
from typing import Optional

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


_a					:					Tuple=			logging.get_logger(__name__)

# TODO Update this
_a					:					List[str]=			{
    "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      (   lowercase						):
				UpperCAmelCase    :				List[str]   =		"""esm"""



				def __init__(self    :				List[str]     ,  _A    :				Optional[Any]=None     ,  _A    :				Tuple=None     ,  _A    :				Optional[Any]=None     ,  _A    :				Any=7_68     ,  _A    :				Optional[int]=12     ,  _A    :				Optional[int]=12     ,  _A    :				Optional[Any]=30_72     ,  _A    :				str=0.1     ,  _A    :				str=0.1     ,  _A    :				Optional[int]=10_26     ,  _A    :				Optional[Any]=0.02     ,  _A    :				Optional[int]=1E-12     ,  _A    :				Dict="absolute"     ,  _A    :				List[str]=True     ,  _A    :				Dict=None     ,  _A    :				List[str]=False     ,  _A    :				Dict=False     ,  _A    :				Union[str, Any]=None     ,  _A    :				Optional[Any]=None     ,  **_A    :				Optional[int]     ,  )   ->     List[str]:
					super().__init__(pad_token_id=_A     ,  mask_token_id=_A     ,  **_A)

					__snake_case      :							List[Any]						=			vocab_size
					__snake_case      :							Dict						=			hidden_size
					__snake_case      :							Any						=			num_hidden_layers
					__snake_case      :							Optional[Any]						=			num_attention_heads
					__snake_case      :							Tuple						=			intermediate_size
					__snake_case      :							int						=			hidden_dropout_prob
					__snake_case      :							Optional[Any]						=			attention_probs_dropout_prob
					__snake_case      :							Dict						=			max_position_embeddings
					__snake_case      :							List[Any]						=			initializer_range
					__snake_case      :							List[Any]						=			layer_norm_eps
					__snake_case      :							Tuple						=			position_embedding_type
					__snake_case      :							Any						=			use_cache
					__snake_case      :							Dict						=			emb_layer_norm_before
					__snake_case      :							Dict						=			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      :							Optional[Any]						=			EsmFoldConfig()
						elif isinstance(_A     ,  _A):
							__snake_case      :							List[str]						=			EsmFoldConfig(**_A)
						__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      :							Union[str, Any]						=			get_default_vocab_list()
						else:
							__snake_case      :							Optional[int]						=			vocab_list
					else:
						__snake_case      :							Tuple						=			None
						__snake_case      :							Any						=			None
					if self.esmfold_config is not None and getattr(self.esmfold_config     ,  'use_esm_attn_map'     ,  _A):
						raise ValueError('The HuggingFace port of ESMFold does not support use_esm_attn_map at this time!')






				def  _lowercase					(self    :				Dict)   ->     Dict:
					__snake_case      :							List[Any]						=			super().to_dict()
					if isinstance(self.esmfold_config     ,  _A):
						__snake_case      :							Tuple						=			self.esmfold_config.to_dict()
					return output







@dataclass
class 		UpperCamelCase      :
				UpperCAmelCase    :				str   =		None
				UpperCAmelCase    :				bool   =		True
				UpperCAmelCase    :				bool   =		False
				UpperCAmelCase    :				bool   =		False
				UpperCAmelCase    :				bool   =		False
				UpperCAmelCase    :				float   =		0

				UpperCAmelCase    :				bool   =		True
				UpperCAmelCase    :				bool   =		False

				UpperCAmelCase    :				int   =		128
				UpperCAmelCase    :				"TrunkConfig"   =		None



				def  _lowercase					(self    :				str)   ->     Dict:
					if self.trunk is None:
						__snake_case      :							List[str]						=			TrunkConfig()
					elif isinstance(self.trunk     ,  _A):
						__snake_case      :							Optional[int]						=			TrunkConfig(**self.trunk)






				def  _lowercase					(self    :				Tuple)   ->     List[str]:
					__snake_case      :							str						=			asdict(self)
					__snake_case      :							Tuple						=			self.trunk.to_dict()
					return output







@dataclass
class 		UpperCamelCase      :
				UpperCAmelCase    :				int   =		48
				UpperCAmelCase    :				int   =		1024
				UpperCAmelCase    :				int   =		128
				UpperCAmelCase    :				int   =		32
				UpperCAmelCase    :				int   =		32
				UpperCAmelCase    :				int   =		32
				UpperCAmelCase    :				float   =		0
				UpperCAmelCase    :				float   =		0
				UpperCAmelCase    :				bool   =		False
				UpperCAmelCase    :				int   =		4
				UpperCAmelCase    :				Optional[int]   =		128
				UpperCAmelCase    :				"StructureModuleConfig"   =		None



				def  _lowercase					(self    :				List[Any])   ->     List[str]:
					if self.structure_module is None:
						__snake_case      :							str						=			StructureModuleConfig()
					elif isinstance(self.structure_module     ,  _A):
						__snake_case      :							Union[str, Any]						=			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      :							List[Any]						=			self.sequence_state_dim // self.sequence_head_width
					__snake_case      :							Optional[Any]						=			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  _lowercase					(self    :				List[Any])   ->     Tuple:
					__snake_case      :							List[Any]						=			asdict(self)
					__snake_case      :							Dict						=			self.structure_module.to_dict()
					return output







@dataclass
class 		UpperCamelCase      :
				UpperCAmelCase    :				int   =		384
				UpperCAmelCase    :				int   =		128
				UpperCAmelCase    :				int   =		16
				UpperCAmelCase    :				int   =		128
				UpperCAmelCase    :				int   =		12
				UpperCAmelCase    :				int   =		4
				UpperCAmelCase    :				int   =		8
				UpperCAmelCase    :				float   =		0.1
				UpperCAmelCase    :				int   =		8
				UpperCAmelCase    :				int   =		1
				UpperCAmelCase    :				int   =		2
				UpperCAmelCase    :				int   =		7
				UpperCAmelCase    :				int   =		10
				UpperCAmelCase    :				float   =		1E-8
				UpperCAmelCase    :				float   =		1E5



				def  _lowercase					(self    :				Union[str, Any])   ->     Tuple:
					return asdict(self)







def   __UpperCAmelCase    (   )							->      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>",
	)






"""simple docstring"""







from __future__ import annotations

import os
from typing import Any

import requests

_a					:					int=			"https://api.github.com"

# https://docs.github.com/en/free-pro-team@latest/rest/reference/users#get-the-authenticated-user
_a					:					Dict=			BASE_URL + "/user"

# https://github.com/settings/tokens
_a					:					Union[str, Any]=			os.environ.get("USER_TOKEN", "")
def   __UpperCAmelCase    (   UpperCAmelCase_   :    str  )							->      dict[Any, Any]:

	'''simple docstring'''





	__snake_case      :							Tuple						=			{
	    'Authorization': F"token {auth_token}",
	    'Accept': 'application/vnd.github.v3+json',
	}
	return requests.get(UpperCAmelCase_      ,							headers=UpperCAmelCase_  ).json()


if __name__ == "__main__":  # pragma: no cover
	if USER_TOKEN:
		for key, value in fetch_github_info(USER_TOKEN).items():
			print(f'''{key}: {value}''')
	else:
		raise ValueError("'USER_TOKEN' field cannot be empty.")





