

from dataclasses import asdict, dataclass
from typing import Optional

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


_UpperCAmelCase		:       Optional[Any]      =	logging.get_logger(__name__)

# TODO Update this
_UpperCAmelCase		:       Optional[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 			lowercase    (	lowercase_      ):
				__SCREAMING_SNAKE_CASE :			Optional[int]	      =      '''esm'''




				def __init__( self				,       snake_case=None				,       snake_case=None				,       snake_case=None				,       snake_case=768				,       snake_case=12				,       snake_case=12				,       snake_case=3072				,       snake_case=0.1				,       snake_case=0.1				,       snake_case=1026				,       snake_case=0.02				,       snake_case=1e-1_2				,       snake_case="absolute"				,       snake_case=True				,       snake_case=None				,       snake_case=False				,       snake_case=False				,       snake_case=None				,       snake_case=None				,       **snake_case				,       ):
											super().__init__(pad_token_id=_SCREAMING_SNAKE_CASE				,       mask_token_id=_SCREAMING_SNAKE_CASE				,       **_SCREAMING_SNAKE_CASE	)

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




				def    a							( self	):
											snake_case_          =   super().to_dict()
											if isinstance(self.esmfold_config				,       _SCREAMING_SNAKE_CASE	):
																		snake_case_          =   self.esmfold_config.to_dict()
											return output







@dataclass
class 			lowercase    :
				__SCREAMING_SNAKE_CASE :			Optional[int]	      =      None
				__SCREAMING_SNAKE_CASE :			List[str]	      =      True
				__SCREAMING_SNAKE_CASE :			Tuple	      =      False
				__SCREAMING_SNAKE_CASE :			str	      =      False
				__SCREAMING_SNAKE_CASE :			str	      =      False
				__SCREAMING_SNAKE_CASE :			Union[str, Any]	      =      0

				__SCREAMING_SNAKE_CASE :			Tuple	      =      True
				__SCREAMING_SNAKE_CASE :			List[str]	      =      False

				__SCREAMING_SNAKE_CASE :			int	      =      128
				__SCREAMING_SNAKE_CASE :			Optional[int]	      =      None




				def    a							( self	):





											if self.trunk is None:
																		snake_case_          =   TrunkConfig()
											elif isinstance(self.trunk				,       _SCREAMING_SNAKE_CASE	):
																		snake_case_          =   TrunkConfig(**self.trunk	)




				def    a							( self	):
											snake_case_          =   asdict(self	)
											snake_case_          =   self.trunk.to_dict()
											return output







@dataclass
class 			lowercase    :
				__SCREAMING_SNAKE_CASE :			str	      =      48
				__SCREAMING_SNAKE_CASE :			Optional[int]	      =      1_024
				__SCREAMING_SNAKE_CASE :			Union[str, Any]	      =      128
				__SCREAMING_SNAKE_CASE :			Dict	      =      32
				__SCREAMING_SNAKE_CASE :			Dict	      =      32
				__SCREAMING_SNAKE_CASE :			Optional[int]	      =      32
				__SCREAMING_SNAKE_CASE :			Optional[int]	      =      0
				__SCREAMING_SNAKE_CASE :			Dict	      =      0
				__SCREAMING_SNAKE_CASE :			Optional[Any]	      =      False
				__SCREAMING_SNAKE_CASE :			List[Any]	      =      4
				__SCREAMING_SNAKE_CASE :			Tuple	      =      128
				__SCREAMING_SNAKE_CASE :			Tuple	      =      None




				def    a							( self	):





											if self.structure_module is None:
																		snake_case_          =   StructureModuleConfig()
											elif isinstance(self.structure_module				,       _SCREAMING_SNAKE_CASE	):
																		snake_case_          =   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_          =   self.sequence_state_dim // self.sequence_head_width
											snake_case_          =   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    a							( self	):
											snake_case_          =   asdict(self	)
											snake_case_          =   self.structure_module.to_dict()
											return output







@dataclass
class 			lowercase    :
				__SCREAMING_SNAKE_CASE :			int	      =      384
				__SCREAMING_SNAKE_CASE :			List[str]	      =      128
				__SCREAMING_SNAKE_CASE :			Optional[int]	      =      16
				__SCREAMING_SNAKE_CASE :			List[Any]	      =      128
				__SCREAMING_SNAKE_CASE :			Optional[Any]	      =      12
				__SCREAMING_SNAKE_CASE :			str	      =      4
				__SCREAMING_SNAKE_CASE :			Union[str, Any]	      =      8
				__SCREAMING_SNAKE_CASE :			Any	      =      0.1
				__SCREAMING_SNAKE_CASE :			Any	      =      8
				__SCREAMING_SNAKE_CASE :			str	      =      1
				__SCREAMING_SNAKE_CASE :			Any	      =      2
				__SCREAMING_SNAKE_CASE :			List[Any]	      =      7
				__SCREAMING_SNAKE_CASE :			List[str]	      =      10
				__SCREAMING_SNAKE_CASE :			int	      =      1e-8
				__SCREAMING_SNAKE_CASE :			Optional[int]	      =      1e5




				def    a							( self	):
											return asdict(self	)





def  __lowerCamelCase     (			):







							'''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 __future__ import annotations

import os
from typing import Any

import requests

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

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

# https://github.com/settings/tokens
_UpperCAmelCase		:       Optional[Any]						    =	os.environ.get("""USER_TOKEN""", """""")





def  __lowerCamelCase     (			UpperCamelCase__				):







							'''simple docstring'''






							snake_case_          =   {
							    '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.""")




