





from dataclasses import asdict, dataclass
from typing import Optional

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


_lowerCAmelCase							:					str		    =		logging.get_logger(__name__)

# TODO Update this
_lowerCAmelCase							:					List[str]		    =		{
    "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     __magic_name__     (							SCREAMING_SNAKE_CASE__							):





     """simple docstring"""



     __UpperCamelCase    			=   '''esm'''



     def __init__(							self				:List[str]	,					snake_case				:Any=None	,					snake_case				:Optional[Any]=None	,					snake_case				:Optional[int]=None	,					snake_case				:Any=768	,					snake_case				:Union[str, Any]=12	,					snake_case				:Any=12	,					snake_case				:int=3_072	,					snake_case				:int=0.1	,					snake_case				:Optional[int]=0.1	,					snake_case				:Union[str, Any]=1_026	,					snake_case				:Dict=0.02	,					snake_case				:str=1e-12	,					snake_case				:str="absolute"	,					snake_case				:Optional[Any]=True	,					snake_case				:Optional[Any]=None	,					snake_case				:List[str]=False	,					snake_case				:Any=False	,					snake_case				:List[Any]=None	,					snake_case				:int=None	,					**snake_case				:List[str]	,					):





        '''simple docstring'''




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

        A_    : Optional[Any]								=	vocab_size
        A_    : Optional[int]								=	hidden_size
        A_    : Optional[Any]								=	num_hidden_layers
        A_    : Optional[Any]								=	num_attention_heads
        A_    : List[str]								=	intermediate_size
        A_    : Union[str, Any]								=	hidden_dropout_prob
        A_    : int								=	attention_probs_dropout_prob
        A_    : Union[str, Any]								=	max_position_embeddings
        A_    : Any								=	initializer_range
        A_    : Optional[Any]								=	layer_norm_eps
        A_    : List[Any]								=	position_embedding_type
        A_    : Optional[int]								=	use_cache
        A_    : Union[str, Any]								=	emb_layer_norm_before
        A_    : Dict								=	token_dropout
        A_    : str								=	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_    : Tuple								=	EsmFoldConfig()
           elif isinstance(A__	,					A__     ):
              A_    : Tuple								=	EsmFoldConfig(**A__     )
           A_    : Tuple								=	esmfold_config
           if vocab_list is None:
              logger.warning("No vocab_list supplied for folding model, assuming the ESM-2 vocabulary!"     )
              A_    : int								=	get_default_vocab_list()
           else:
              A_    : List[str]								=	vocab_list
        else:
           A_    : Dict								=	None
           A_    : Dict								=	None
        if self.esmfold_config is not None and getattr(self.esmfold_config	,					"use_esm_attn_map"	,					A__     ):
           raise ValueError("The HuggingFace port of ESMFold does not support use_esm_attn_map at this time!"     )





     def   SCREAMING_SNAKE_CASE						(							self				:int     ):





        '''simple docstring'''




        A_    : Optional[int]								=	super().to_dict()
        if isinstance(self.esmfold_config	,					A__     ):
           A_    : int								=	self.esmfold_config.to_dict()
        return output




@dataclass
class     __magic_name__     :





     """simple docstring"""



     __UpperCamelCase    			=   None
     __UpperCamelCase    			=   True
     __UpperCamelCase    			=   False
     __UpperCamelCase    			=   False
     __UpperCamelCase    			=   False
     __UpperCamelCase    			=   0

     __UpperCamelCase    			=   True
     __UpperCamelCase    			=   False

     __UpperCamelCase    			=   1_28
     __UpperCamelCase    			=   None



     def   SCREAMING_SNAKE_CASE						(							self				:Any     ):





        '''simple docstring'''




        if self.trunk is None:
           A_    : str								=	TrunkConfig()
        elif isinstance(self.trunk	,					A__     ):
           A_    : Dict								=	TrunkConfig(**self.trunk     )





     def   SCREAMING_SNAKE_CASE						(							self				:List[str]     ):





        '''simple docstring'''




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




@dataclass
class     __magic_name__     :





     """simple docstring"""



     __UpperCamelCase    			=   48
     __UpperCamelCase    			=   10_24
     __UpperCamelCase    			=   1_28
     __UpperCamelCase    			=   32
     __UpperCamelCase    			=   32
     __UpperCamelCase    			=   32
     __UpperCamelCase    			=   0
     __UpperCamelCase    			=   0
     __UpperCamelCase    			=   False
     __UpperCamelCase    			=   4
     __UpperCamelCase    			=   1_28
     __UpperCamelCase    			=   None



     def   SCREAMING_SNAKE_CASE						(							self				:List[Any]     ):





        '''simple docstring'''




        if self.structure_module is None:
           A_    : List[Any]								=	StructureModuleConfig()
        elif isinstance(self.structure_module	,					A__     ):
           A_    : Optional[int]								=	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_    : Optional[Any]								=	self.sequence_state_dim // self.sequence_head_width
        A_    : Union[str, Any]								=	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   SCREAMING_SNAKE_CASE						(							self				:Union[str, Any]     ):





        '''simple docstring'''




        A_    : List[Any]								=	asdict(self     )
        A_    : int								=	self.structure_module.to_dict()
        return output




@dataclass
class     __magic_name__     :





     """simple docstring"""



     __UpperCamelCase    			=   3_84
     __UpperCamelCase    			=   1_28
     __UpperCamelCase    			=   16
     __UpperCamelCase    			=   1_28
     __UpperCamelCase    			=   12
     __UpperCamelCase    			=   4
     __UpperCamelCase    			=   8
     __UpperCamelCase    			=   0.1
     __UpperCamelCase    			=   8
     __UpperCamelCase    			=   1
     __UpperCamelCase    			=   2
     __UpperCamelCase    			=   7
     __UpperCamelCase    			=   10
     __UpperCamelCase    			=   1e-8
     __UpperCamelCase    			=   1e5



     def   SCREAMING_SNAKE_CASE						(							self				:Union[str, Any]     ):





        '''simple docstring'''




        return asdict(self     )




def    __snake_case  (    )       ->  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>",
   )


import random

from .binary_exp_mod import bin_exp_mod



def        UpperCamelCase    (							lowerCAmelCase__ ,			lowerCAmelCase__=1000		):
					'''simple docstring'''
					if n < 2:
										return False

					if n % 2 == 0:
										return n == 2

					# this means n is odd
					lowercase							=						n - 1
					lowercase							=						0
					while d % 2 == 0:
										d /= 2
										exp += 1

					# n - 1=d*(2**exp)
					lowercase							=						0
					while count < prec:
										lowercase							=						random.randint(2 ,			n - 1		)
										lowercase							=						bin_exp_mod(lowerCAmelCase__ ,			lowerCAmelCase__ ,			lowerCAmelCase__		)
										if b != 1:
															lowercase							=						True
															for _ in range(lowerCAmelCase__		):
																				if b == n - 1:
																									lowercase							=						False
																									break
																				lowercase							=						b * b
																				b %= n
															if flag:
																				return False
															count += 1
					return True


if __name__ == "__main__":
							lowercase__		:Tuple   =    abs(int(input("Enter bound : ").strip()))
							print("Here's the list of primes:")
							print(", ".join(str(i) for i in range(n + 1) if is_prime_big(i)))




