from dataclasses import asdict, dataclass
from typing import Optional

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


UpperCamelCase__											=					logging.get_logger(__name__)

# TODO Update this
UpperCamelCase__											=					{
    '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							(				UpperCAmelCase_     ):
   __UpperCAmelCase : int      =			'esm'


   def __init__(self     :						List[str]       ,  __UpperCAmelCase     :						List[str]=None       ,  __UpperCAmelCase     :						str=None       ,  __UpperCAmelCase     :						Tuple=None       ,  __UpperCAmelCase     :						List[str]=7_6_8       ,  __UpperCAmelCase     :						List[str]=1_2       ,  __UpperCAmelCase     :						Any=1_2       ,  __UpperCAmelCase     :						List[str]=3_0_7_2       ,  __UpperCAmelCase     :						Any=0.1       ,  __UpperCAmelCase     :						Any=0.1       ,  __UpperCAmelCase     :						int=1_0_2_6       ,  __UpperCAmelCase     :						Optional[int]=0.02       ,  __UpperCAmelCase     :						Optional[Any]=1E-12       ,  __UpperCAmelCase     :						int="absolute"       ,  __UpperCAmelCase     :						Optional[Any]=True       ,  __UpperCAmelCase     :						Optional[Any]=None       ,  __UpperCAmelCase     :						str=False       ,  __UpperCAmelCase     :						Dict=False       ,  __UpperCAmelCase     :						List[str]=None       ,  __UpperCAmelCase     :						Optional[Any]=None       ,  **__UpperCAmelCase     :						Union[str, Any]       ,  )						->				Any:
         """simple docstring"""



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

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





   def 			lowercase_      (self     :						Tuple		)						->				Dict:
         """simple docstring"""



         UpperCAmelCase__								=  super().to_dict()
         if isinstance(self.esmfold_config       ,  __UpperCAmelCase		):
               UpperCAmelCase__								=  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      =			1_28
   __UpperCAmelCase : "TrunkConfig"      =			None


   def 			lowercase_      (self     :						Optional[Any]		)						->				List[Any]:
         """simple docstring"""



         if self.trunk is None:
               UpperCAmelCase__								=  TrunkConfig()
         elif isinstance(self.trunk       ,  __UpperCAmelCase		):
               UpperCAmelCase__								=  TrunkConfig(**self.trunk		)





   def 			lowercase_      (self     :						str		)						->				Tuple:
         """simple docstring"""



         UpperCAmelCase__								=  asdict(self		)
         UpperCAmelCase__								=  self.trunk.to_dict()
         return output





@dataclass
class      A							:
   __UpperCAmelCase : int      =			48
   __UpperCAmelCase : int      =			10_24
   __UpperCAmelCase : int      =			1_28
   __UpperCAmelCase : int      =			32
   __UpperCAmelCase : int      =			32
   __UpperCAmelCase : int      =			32
   __UpperCAmelCase : float      =			0
   __UpperCAmelCase : float      =			0
   __UpperCAmelCase : bool      =			False
   __UpperCAmelCase : int      =			4
   __UpperCAmelCase : Optional[int]      =			1_28
   __UpperCAmelCase : "StructureModuleConfig"      =			None


   def 			lowercase_      (self     :						Optional[int]		)						->				Dict:
         """simple docstring"""



         if self.structure_module is None:
               UpperCAmelCase__								=  StructureModuleConfig()
         elif isinstance(self.structure_module       ,  __UpperCAmelCase		):
               UpperCAmelCase__								=  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}."""		)

         UpperCAmelCase__								=  self.sequence_state_dim // self.sequence_head_width
         UpperCAmelCase__								=  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     :						Any		)						->				Optional[int]:
         """simple docstring"""



         UpperCAmelCase__								=  asdict(self		)
         UpperCAmelCase__								=  self.structure_module.to_dict()
         return output





@dataclass
class      A							:
   __UpperCAmelCase : int      =			3_84
   __UpperCAmelCase : int      =			1_28
   __UpperCAmelCase : int      =			16
   __UpperCAmelCase : int      =			1_28
   __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     :						Optional[Any]		)						->				str:
         """simple docstring"""



         return asdict(self		)




def    lowerCAmelCase_ (     )     ->				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>",
      )




def    lowerCAmelCase_ (     __A,  __A							)     ->				None:







      '''simple docstring'''


      UpperCAmelCase__								=  len(__A							)
      print("The following activities are selected:"							)

      # The first activity is always selected
      UpperCAmelCase__								=  0
      print(__A,  end=","							)

      # Consider rest of the activities
      for j in range(__A							):
            # If this activity has start time greater than
            # or equal to the finish time of previously
            # selected activity, then select it
            if start[j] >= finish[i]:
                  print(__A,  end=","							)
                  UpperCAmelCase__								=  j


if __name__ == "__main__":
      import doctest

      doctest.testmod()

      UpperCamelCase__											=					[1, 3, 0, 5, 8, 5]
      UpperCamelCase__											=					[2, 4, 6, 7, 9, 9]
      print_max_activities(start, finish)



