




"""simple docstring"""



from dataclasses import asdict, dataclass
from typing import Optional

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


SCREAMING_SNAKE_CASE__:Dict			=	logging.get_logger(__name__)

# TODO Update this
SCREAMING_SNAKE_CASE__:Optional[Any]			=	{
    '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 				snake_case__     (   lowerCamelCase__   ):
 _snake_case   :			str           =		"""esm"""


 def __init__(				self  ,						lowerCamelCase=None  ,						lowerCamelCase=None  ,						lowerCamelCase=None  ,						lowerCamelCase=768  ,						lowerCamelCase=12  ,						lowerCamelCase=12  ,						lowerCamelCase=3072  ,						lowerCamelCase=0.1  ,						lowerCamelCase=0.1  ,						lowerCamelCase=1026  ,						lowerCamelCase=0.02  ,						lowerCamelCase=1E-12  ,						lowerCamelCase="absolute"  ,						lowerCamelCase=True  ,						lowerCamelCase=None  ,						lowerCamelCase=False  ,						lowerCamelCase=False  ,						lowerCamelCase=None  ,						lowerCamelCase=None  ,						**lowerCamelCase  ,						):
        super().__init__(pad_token_id=__lowerCamelCase  ,						mask_token_id=__lowerCamelCase  ,						**__lowerCamelCase		)

        __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(__lowerCamelCase  ,						__lowerCamelCase		):
                      __a     				=  EsmFoldConfig(**__lowerCamelCase		)
               __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"  ,						__lowerCamelCase		):
               raise ValueError("The HuggingFace port of ESMFold does not support use_esm_attn_map at this time!"		)






 def 		a__ (				self		):
        __a     				=  super().to_dict()
        if isinstance(self.esmfold_config  ,						__lowerCamelCase		):
               __a     				=  self.esmfold_config.to_dict()
        return output






@dataclass
class 				snake_case__     :
 _snake_case   :			List[str]           =		None
 _snake_case   :			Dict           =		True
 _snake_case   :			Optional[int]           =		False
 _snake_case   :			Tuple           =		False
 _snake_case   :			Optional[Any]           =		False
 _snake_case   :			str           =		0

 _snake_case   :			int           =		True
 _snake_case   :			str           =		False

 _snake_case   :			Dict           =		128
 _snake_case   :			Tuple           =		None


 def 		a__ (				self		):






        if self.trunk is None:
               __a     				=  TrunkConfig()
        elif isinstance(self.trunk  ,						__lowerCamelCase		):
               __a     				=  TrunkConfig(**self.trunk		)






 def 		a__ (				self		):
        __a     				=  asdict(self		)
        __a     				=  self.trunk.to_dict()
        return output






@dataclass
class 				snake_case__     :
 _snake_case   :			Any           =		48
 _snake_case   :			str           =		1_024
 _snake_case   :			Dict           =		128
 _snake_case   :			Optional[Any]           =		32
 _snake_case   :			Tuple           =		32
 _snake_case   :			List[Any]           =		32
 _snake_case   :			Optional[int]           =		0
 _snake_case   :			str           =		0
 _snake_case   :			List[str]           =		False
 _snake_case   :			Union[str, Any]           =		4
 _snake_case   :			Any           =		128
 _snake_case   :			Union[str, Any]           =		None


 def 		a__ (				self		):






        if self.structure_module is None:
               __a     				=  StructureModuleConfig()
        elif isinstance(self.structure_module  ,						__lowerCamelCase		):
               __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 		a__ (				self		):
        __a     				=  asdict(self		)
        __a     				=  self.structure_module.to_dict()
        return output






@dataclass
class 				snake_case__     :
 _snake_case   :			Union[str, Any]           =		384
 _snake_case   :			str           =		128
 _snake_case   :			Union[str, Any]           =		16
 _snake_case   :			Any           =		128
 _snake_case   :			Optional[Any]           =		12
 _snake_case   :			Any           =		4
 _snake_case   :			List[Any]           =		8
 _snake_case   :			Any           =		0.1
 _snake_case   :			Optional[Any]           =		8
 _snake_case   :			List[Any]           =		1
 _snake_case   :			List[Any]           =		2
 _snake_case   :			Dict           =		7
 _snake_case   :			str           =		10
 _snake_case   :			Optional[int]           =		1E-8
 _snake_case   :			Union[str, Any]           =		1E5


 def 		a__ (				self		):
        return asdict(self		)



def 					_lowerCamelCase(					):
       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"""



import math



def 					_lowerCamelCase(					a							):
       __a     				=  []
       __a     				=  2
       __a     				=  int(math.sqrt(a							)							)  # Size of every segment
       __a     				=  [True] * (end + 1)
       __a     				=  []

       while start <= end:
              if temp[start] is True:
                     in_prime.append(a							)
                     for i in range(start * start ,  end + 1 ,  a							):
                            __a     				=  False
              start += 1
       prime += in_prime

       __a     				=  end + 1
       __a     				=  min(2 * end ,  a							)

       while low <= n:
              __a     				=  [True] * (high - low + 1)
              for each in in_prime:
                     __a     				=  math.floor(low / each							) * each
                     if t < low:
                            t += each

                     for j in range(a ,  high + 1 ,  a							):
                            __a     				=  False

              for j in range(len(a							)							):
                     if temp[j] is True:
                            prime.append(j + low							)

              __a     				=  high + 1
              __a     				=  min(high + end ,  a							)

       return prime




print(sieve(10**6))
