



from dataclasses import asdict, dataclass
from typing import Optional

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


__snake_case    :		Dict  =logging.get_logger(__name__)

# TODO Update this
__snake_case    :		Optional[Any]  ={
    '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 	lowerCamelCase__      (							lowerCamelCase__):




		'''simple docstring'''



		snake_case_     ="""esm"""



		def __init__(self		,__lowerCamelCase=None		,__lowerCamelCase=None		,__lowerCamelCase=None		,__lowerCamelCase=7_68		,__lowerCamelCase=12		,__lowerCamelCase=12		,__lowerCamelCase=30_72		,__lowerCamelCase=0.1		,__lowerCamelCase=0.1		,__lowerCamelCase=10_26		,__lowerCamelCase=0.02		,__lowerCamelCase=1e-12		,__lowerCamelCase="absolute"		,__lowerCamelCase=True		,__lowerCamelCase=None		,__lowerCamelCase=False		,__lowerCamelCase=False		,__lowerCamelCase=None		,__lowerCamelCase=None		,**__lowerCamelCase		,)					->      List[Any]:

						"""simple docstring"""






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

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



		def 		lowerCAmelCase__				(self			)					->      Any:

						"""simple docstring"""






						lowerCAmelCase__					:    int												=					super().to_dict()
						if isinstance(self.esmfold_config		,__lowerCamelCase			):
										lowerCAmelCase__					:    List[Any]												=					self.esmfold_config.to_dict()
						return output



@dataclass
class 	lowerCamelCase__      :




		'''simple docstring'''



		snake_case_     =None
		snake_case_     =True
		snake_case_     =False
		snake_case_     =False
		snake_case_     =False
		snake_case_     =0

		snake_case_     =True
		snake_case_     =False

		snake_case_     =128
		snake_case_     =None



		def 		lowerCAmelCase__				(self			)					->      Tuple:

						"""simple docstring"""






						if self.trunk is None:
										lowerCAmelCase__					:    Union[str, Any]												=					TrunkConfig()
						elif isinstance(self.trunk		,__lowerCamelCase			):
										lowerCAmelCase__					:    Optional[Any]												=					TrunkConfig(**self.trunk			)



		def 		lowerCAmelCase__				(self			)					->      Union[str, Any]:

						"""simple docstring"""






						lowerCAmelCase__					:    List[Any]												=					asdict(self			)
						lowerCAmelCase__					:    str												=					self.trunk.to_dict()
						return output



@dataclass
class 	lowerCamelCase__      :




		'''simple docstring'''



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



		def 		lowerCAmelCase__				(self			)					->      Dict:

						"""simple docstring"""






						if self.structure_module is None:
										lowerCAmelCase__					:    Tuple												=					StructureModuleConfig()
						elif isinstance(self.structure_module		,__lowerCamelCase			):
										lowerCAmelCase__					:    List[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}."""			)

						lowerCAmelCase__					:    Tuple												=					self.sequence_state_dim // self.sequence_head_width
						lowerCAmelCase__					:    Union[str, 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 		lowerCAmelCase__				(self			)					->      Tuple:

						"""simple docstring"""






						lowerCAmelCase__					:    int												=					asdict(self			)
						lowerCAmelCase__					:    List[str]												=					self.structure_module.to_dict()
						return output



@dataclass
class 	lowerCamelCase__      :




		'''simple docstring'''



		snake_case_     =384
		snake_case_     =128
		snake_case_     =16
		snake_case_     =128
		snake_case_     =12
		snake_case_     =4
		snake_case_     =8
		snake_case_     =0.1
		snake_case_     =8
		snake_case_     =1
		snake_case_     =2
		snake_case_     =7
		snake_case_     =10
		snake_case_     =1e-8
		snake_case_     =1e5



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

						"""simple docstring"""






						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>",
				)






def      lowerCAmelCase__		(   lowerCamelCase_		:		int = 1000000):





				'''simple docstring'''

				lowerCAmelCase__					:    int												=					set(range(3	,lowerCamelCase_	,2))
				primes.add(2)
				for p in range(3	,lowerCamelCase_	,2):
								if p not in primes:
												continue
								primes.difference_update(set(range(p * p	,lowerCamelCase_	,lowerCamelCase_)))

				lowerCAmelCase__					:    int												=					[float(lowerCamelCase_) for n in range(limit + 1)]

				for p in primes:
								for n in range(lowerCamelCase_	,limit + 1	,lowerCamelCase_):
												phi[n] *= 1 - 1 / p

				return int(sum(phi[2:]))


if __name__ == "__main__":
							print(f"""{solution() = }""")

