

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}""")




