

from dataclasses import asdict, dataclass
from typing import Optional

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


a		=logging.get_logger(__name__)

# TODO Update this
a		={
    """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 	A_		(	SCREAMING_SNAKE_CASE    ):
							_UpperCAmelCase   :  str										=				'''esm'''
							def __init__(		self		:      List[Any]       ,SCREAMING_SNAKE_CASE__		:      Optional[Any]=None       ,SCREAMING_SNAKE_CASE__		:      Optional[int]=None       ,SCREAMING_SNAKE_CASE__		:      List[str]=None       ,SCREAMING_SNAKE_CASE__		:      Tuple=7_6_8       ,SCREAMING_SNAKE_CASE__		:      Tuple=1_2       ,SCREAMING_SNAKE_CASE__		:      int=1_2       ,SCREAMING_SNAKE_CASE__		:      int=3_0_7_2       ,SCREAMING_SNAKE_CASE__		:      Tuple=0.1       ,SCREAMING_SNAKE_CASE__		:      Dict=0.1       ,SCREAMING_SNAKE_CASE__		:      Union[str, Any]=1_0_2_6       ,SCREAMING_SNAKE_CASE__		:      str=0.02       ,SCREAMING_SNAKE_CASE__		:      int=1E-12       ,SCREAMING_SNAKE_CASE__		:      Optional[int]="absolute"       ,SCREAMING_SNAKE_CASE__		:      Dict=True       ,SCREAMING_SNAKE_CASE__		:      Tuple=None       ,SCREAMING_SNAKE_CASE__		:      Tuple=False       ,SCREAMING_SNAKE_CASE__		:      Optional[int]=False       ,SCREAMING_SNAKE_CASE__		:      List[str]=None       ,SCREAMING_SNAKE_CASE__		:      int=None       ,**SCREAMING_SNAKE_CASE__		:      int       ,):
								super().__init__(pad_token_id=SCREAMING_SNAKE_CASE__       ,mask_token_id=SCREAMING_SNAKE_CASE__       ,**SCREAMING_SNAKE_CASE__)

								__lowerCamelCase    :    str 	=			vocab_size
								__lowerCamelCase    :    List[str] 	=			hidden_size
								__lowerCamelCase    :    Tuple 	=			num_hidden_layers
								__lowerCamelCase    :    Optional[int] 	=			num_attention_heads
								__lowerCamelCase    :    int 	=			intermediate_size
								__lowerCamelCase    :    List[str] 	=			hidden_dropout_prob
								__lowerCamelCase    :    List[Any] 	=			attention_probs_dropout_prob
								__lowerCamelCase    :    Union[str, Any] 	=			max_position_embeddings
								__lowerCamelCase    :    Optional[int] 	=			initializer_range
								__lowerCamelCase    :    Any 	=			layer_norm_eps
								__lowerCamelCase    :    int 	=			position_embedding_type
								__lowerCamelCase    :    Any 	=			use_cache
								__lowerCamelCase    :    Any 	=			emb_layer_norm_before
								__lowerCamelCase    :    List[Any] 	=			token_dropout
								__lowerCamelCase    :    List[Any] 	=			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    :    List[Any] 	=			EsmFoldConfig()
									elif isinstance(SCREAMING_SNAKE_CASE__       ,SCREAMING_SNAKE_CASE__):
										__lowerCamelCase    :    str 	=			EsmFoldConfig(**SCREAMING_SNAKE_CASE__)
									__lowerCamelCase    :    Optional[int] 	=			esmfold_config
									if vocab_list is None:
										logger.warning('No vocab_list supplied for folding model, assuming the ESM-2 vocabulary!')
										__lowerCamelCase    :    int 	=			get_default_vocab_list()
									else:
										__lowerCamelCase    :    List[str] 	=			vocab_list
								else:
									__lowerCamelCase    :    Any 	=			None
									__lowerCamelCase    :    Optional[int] 	=			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    lowerCAmelCase					(		self		:      List[Any]):
								__lowerCamelCase    :    Optional[Any] 	=			super().to_dict()
								if isinstance(self.esmfold_config       ,SCREAMING_SNAKE_CASE__):
									__lowerCamelCase    :    Optional[Any] 	=			self.esmfold_config.to_dict()
								return output






@dataclass
class 	A_		:
							_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    lowerCAmelCase					(		self		:      List[Any]):
								if self.trunk is None:
									__lowerCamelCase    :    Optional[Any] 	=			TrunkConfig()
								elif isinstance(self.trunk       ,SCREAMING_SNAKE_CASE__):
									__lowerCamelCase    :    int 	=			TrunkConfig(**self.trunk)


							def    lowerCAmelCase					(		self		:      Union[str, Any]):
								__lowerCamelCase    :    List[Any] 	=			asdict(self)
								__lowerCamelCase    :    List[str] 	=			self.trunk.to_dict()
								return output






@dataclass
class 	A_		:
							_UpperCAmelCase   :  int										=				48
							_UpperCAmelCase   :  int										=				1_024
							_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    lowerCAmelCase					(		self		:      Optional[Any]):
								if self.structure_module is None:
									__lowerCamelCase    :    List[str] 	=			StructureModuleConfig()
								elif isinstance(self.structure_module       ,SCREAMING_SNAKE_CASE__):
									__lowerCamelCase    :    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}.")

								__lowerCamelCase    :    Tuple 	=			self.sequence_state_dim // self.sequence_head_width
								__lowerCamelCase    :    str 	=			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		:      List[str]):
								__lowerCamelCase    :    Tuple 	=			asdict(self)
								__lowerCamelCase    :    int 	=			self.structure_module.to_dict()
								return output






@dataclass
class 	A_		:
							_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    lowerCAmelCase					(		self		:      List[Any]):
								return asdict(self)






def        SCREAMING_SNAKE_CASE__	(  )  ->					int:
	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






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__      )  ->					bool:
	if len(lowerCamelCase__      ) == 0:
		return False
	__lowerCamelCase    :    List[Any] 	=			len(lowerCamelCase__      ) // 2
	if a_list[midpoint] == item:
		return True
	if item < a_list[midpoint]:
		return binary_search(a_list[:midpoint]     ,			lowerCamelCase__      )
	else:
		return binary_search(a_list[midpoint + 1 :]     ,			lowerCamelCase__      )


if __name__ == "__main__":
					a		=input("""Enter numbers separated by comma:\n""").strip()
					a		=[int(item.strip()) for item in user_input.split(""",""")]
					a		=int(input("""Enter the number to be found in the list:\n""").strip())
					a		="""""" if binary_search(sequence, target) else """not """
					print(F"""{target} was {not_str}found in {sequence}""")




