

"""simple docstring"""







from dataclasses import asdict, dataclass
from typing import Optional

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


__SCREAMING_SNAKE_CASE								=logging.get_logger(__name__)

# TODO Update this
__SCREAMING_SNAKE_CASE								={
    '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  UpperCamelCase	(    UpperCamelCase_						):
   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-12  ,__UpperCamelCase="absolute"  ,__UpperCamelCase=True  ,__UpperCamelCase=None  ,__UpperCamelCase=False  ,__UpperCamelCase=False  ,__UpperCamelCase=None  ,__UpperCamelCase=None  ,**__UpperCamelCase  ,)			->   List[str]:


        '''simple docstring'''


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

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


        '''simple docstring'''


        lowercase_			:       Optional[Any]									=			super().to_dict()
        if isinstance(self.esmfold_config  ,UpperCamelCase__    ):
             lowercase_			:       Optional[Any]									=			self.esmfold_config.to_dict()
        return output







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

   lowercase							=						True
   lowercase							=						False

   lowercase							=						1_2_8
   lowercase							=						None
   def     _UpperCAmelCase     (    self    )			->   Optional[Any]:


        '''simple docstring'''


        if self.trunk is None:
             lowercase_			:       Optional[Any]									=			TrunkConfig()
        elif isinstance(self.trunk  ,UpperCamelCase__    ):
             lowercase_			:       Tuple									=			TrunkConfig(**self.trunk    )







   def     _UpperCAmelCase     (    self    )			->   Optional[int]:


        '''simple docstring'''


        lowercase_			:       str									=			asdict(self    )
        lowercase_			:       Tuple									=			self.trunk.to_dict()
        return output







@dataclass
class  UpperCamelCase	:
   lowercase							=						4_8
   lowercase							=						1_0_2_4
   lowercase							=						1_2_8
   lowercase							=						3_2
   lowercase							=						3_2
   lowercase							=						3_2
   lowercase							=						0
   lowercase							=						0
   lowercase							=						False
   lowercase							=						4
   lowercase							=						1_2_8
   lowercase							=						None
   def     _UpperCAmelCase     (    self    )			->   List[str]:


        '''simple docstring'''


        if self.structure_module is None:
             lowercase_			:       Optional[int]									=			StructureModuleConfig()
        elif isinstance(self.structure_module  ,UpperCamelCase__    ):
             lowercase_			:       Optional[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}.'''    )

        lowercase_			:       Dict									=			self.sequence_state_dim // self.sequence_head_width
        lowercase_			:       Tuple									=			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     _UpperCAmelCase     (    self    )			->   str:


        '''simple docstring'''


        lowercase_			:       Any									=			asdict(self    )
        lowercase_			:       Union[str, Any]									=			self.structure_module.to_dict()
        return output







@dataclass
class  UpperCamelCase	:
   lowercase							=						3_8_4
   lowercase							=						1_2_8
   lowercase							=						1_6
   lowercase							=						1_2_8
   lowercase							=						1_2
   lowercase							=						4
   lowercase							=						8
   lowercase							=						0.1
   lowercase							=						8
   lowercase							=						1
   lowercase							=						2
   lowercase							=						7
   lowercase							=						1_0
   lowercase							=						1e-8
   lowercase							=						1e5
   def     _UpperCAmelCase     (    self    )			->   List[str]:


        '''simple docstring'''


        return asdict(self    )






def     lowercase__( ):
     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"""







from math import sqrt



def     lowercase__( __SCREAMING_SNAKE_CASE							:  int   ):

     if 1 < number < 4:
          # 2 and 3 are primes
          return True
     elif number < 2 or number % 2 == 0 or number % 3 == 0:
          # Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
          return False

     # All primes number are in format of 6k +/- 1
     for i in range(5  ,    int(sqrt(__SCREAMING_SNAKE_CASE   ) + 1   )  ,    6   ):
          if number % i == 0 or number % (i + 2) == 0:
               return False
     return True



def     lowercase__( __SCREAMING_SNAKE_CASE							:  int = 1_00_01   ):
     lowercase_			:       str									=			0
     lowercase_			:       Optional[Any]									=			1
     while count != nth and number < 3:
          number += 1
          if is_prime(__SCREAMING_SNAKE_CASE   ):
               count += 1
     while count != nth:
          number += 2
          if is_prime(__SCREAMING_SNAKE_CASE   ):
               count += 1
     return number


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

