

'''simple docstring'''







from dataclasses import asdict, dataclass
from typing import Optional

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


__lowerCamelCase		       =    logging.get_logger(__name__)

# TODO Update this
__lowerCamelCase		       =    {
    '''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__      (      _snake_case			):
    lowercase						=		"esm"



    def __init__(					self		,				UpperCamelCase__=None		,				UpperCamelCase__=None		,				UpperCamelCase__=None		,				UpperCamelCase__=768		,				UpperCamelCase__=12		,				UpperCamelCase__=12		,				UpperCamelCase__=3072		,				UpperCamelCase__=0.1		,				UpperCamelCase__=0.1		,				UpperCamelCase__=1026		,				UpperCamelCase__=0.02		,				UpperCamelCase__=1e-1_2		,				UpperCamelCase__="absolute"		,				UpperCamelCase__=True		,				UpperCamelCase__=None		,				UpperCamelCase__=False		,				UpperCamelCase__=False		,				UpperCamelCase__=None		,				UpperCamelCase__=None		,				**UpperCamelCase__		,				)						->      Any:





           '''simple docstring'''
           super().__init__(pad_token_id=UpperCamelCase__		,				mask_token_id=UpperCamelCase__		,				**UpperCamelCase__       )

           A_						=      vocab_size
           A_						=      hidden_size
           A_						=      num_hidden_layers
           A_						=      num_attention_heads
           A_						=      intermediate_size
           A_						=      hidden_dropout_prob
           A_						=      attention_probs_dropout_prob
           A_						=      max_position_embeddings
           A_						=      initializer_range
           A_						=      layer_norm_eps
           A_						=      position_embedding_type
           A_						=      use_cache
           A_						=      emb_layer_norm_before
           A_						=      token_dropout
           A_						=      is_folding_model
           if is_folding_model:
                  if esmfold_config is None:
                         logger.info("""No esmfold_config supplied for folding model, using default values."""       )
                         A_						=      EsmFoldConfig()
                  elif isinstance(UpperCamelCase__		,				UpperCamelCase__       ):
                         A_						=      EsmFoldConfig(**UpperCamelCase__       )
                  A_						=      esmfold_config
                  if vocab_list is None:
                         logger.warning("""No vocab_list supplied for folding model, assuming the ESM-2 vocabulary!"""       )
                         A_						=      get_default_vocab_list()
                  else:
                         A_						=      vocab_list
           else:
                  A_						=      None
                  A_						=      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 					snake_case_			(					self       )						->      Optional[Any]:





           '''simple docstring'''
           A_						=      super().to_dict()
           if isinstance(self.esmfold_config		,				UpperCamelCase__       ):
                  A_						=      self.esmfold_config.to_dict()
           return output


@dataclass
class 					A__      :
    lowercase						=		None
    lowercase						=		True
    lowercase						=		False
    lowercase						=		False
    lowercase						=		False
    lowercase						=		0

    lowercase						=		True
    lowercase						=		False

    lowercase						=		128
    lowercase						=		None



    def 					snake_case_			(					self       )						->      List[str]:





           '''simple docstring'''
           if self.trunk is None:
                  A_						=      TrunkConfig()
           elif isinstance(self.trunk		,				UpperCamelCase__       ):
                  A_						=      TrunkConfig(**self.trunk       )







    def 					snake_case_			(					self       )						->      Tuple:





           '''simple docstring'''
           A_						=      asdict(self       )
           A_						=      self.trunk.to_dict()
           return output


@dataclass
class 					A__      :
    lowercase						=		48
    lowercase						=		1_024
    lowercase						=		128
    lowercase						=		32
    lowercase						=		32
    lowercase						=		32
    lowercase						=		0
    lowercase						=		0
    lowercase						=		False
    lowercase						=		4
    lowercase						=		128
    lowercase						=		None



    def 					snake_case_			(					self       )						->      Any:





           '''simple docstring'''
           if self.structure_module is None:
                  A_						=      StructureModuleConfig()
           elif isinstance(self.structure_module		,				UpperCamelCase__       ):
                  A_						=      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}.'''       )

           A_						=      self.sequence_state_dim // self.sequence_head_width
           A_						=      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 					snake_case_			(					self       )						->      List[str]:





           '''simple docstring'''
           A_						=      asdict(self       )
           A_						=      self.structure_module.to_dict()
           return output


@dataclass
class 					A__      :
    lowercase						=		384
    lowercase						=		128
    lowercase						=		16
    lowercase						=		128
    lowercase						=		12
    lowercase						=		4
    lowercase						=		8
    lowercase						=		0.1
    lowercase						=		8
    lowercase						=		1
    lowercase						=		2
    lowercase						=		7
    lowercase						=		10
    lowercase						=		1e-8
    lowercase						=		1e5



    def 					snake_case_			(					self       )						->      Any:





           '''simple docstring'''
           return asdict(self       )

def       UpperCAmelCase__    (      )			->			List[str]:
       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>",
       )



'''simple docstring'''







def       UpperCAmelCase__    (      UpperCAmelCase__				)			->			bool:
       return str(UpperCAmelCase__				) == str(UpperCAmelCase__				)[::-1]
def       UpperCAmelCase__    (      UpperCAmelCase__				)			->			int:
       return int(UpperCAmelCase__				) + int(str(UpperCAmelCase__				)[::-1]				)
def       UpperCAmelCase__    (      UpperCAmelCase__ = 1_00_00				)			->			int:
       A_						=      []
       for num in range(1,       UpperCAmelCase__				):
              A_						=      0
              A_						=      num
              while iterations < 50:
                     A_						=      sum_reverse(UpperCAmelCase__				)
                     iterations += 1
                     if is_palindrome(UpperCAmelCase__				):
                            break
              else:
                     lychrel_nums.append(UpperCAmelCase__				)
       return len(UpperCAmelCase__				)


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