






'''simple docstring'''

from dataclasses import asdict, dataclass
from typing import Optional

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


UpperCAmelCase__						:Tuple          =			logging.get_logger(__name__)

# TODO Update this
UpperCAmelCase__						:Union[str, 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 	SCREAMING_SNAKE_CASE	(      lowerCAmelCase_  ):
							snake_case__    :     Any   		=			'esm'




							def __init__(					self      : Any	,    A__      : Dict=None	,    A__      : Any=None	,    A__      : Union[str, Any]=None	,    A__      : List[str]=768	,    A__      : Tuple=12	,    A__      : Union[str, Any]=12	,    A__      : Union[str, Any]=3072	,    A__      : str=0.1	,    A__      : List[str]=0.1	,    A__      : List[str]=1026	,    A__      : str=0.02	,    A__      : Union[str, Any]=1e-1_2	,    A__      : Union[str, Any]="absolute"	,    A__      : Union[str, Any]=True	,    A__      : Optional[Any]=None	,    A__      : Optional[Any]=False	,    A__      : Optional[int]=False	,    A__      : Union[str, Any]=None	,    A__      : Tuple=None	,    **A__      : Union[str, Any]	,    ):


												"""simple docstring"""







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

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


												"""simple docstring"""







												__lowerCamelCase						:       Any				   =				super().to_dict()
												if isinstance(self.esmfold_config	,    A__					):
																	__lowerCamelCase						:       Any				   =				self.esmfold_config.to_dict()
												return output







@dataclass
class 	SCREAMING_SNAKE_CASE	:
							snake_case__    :     str   		=			None
							snake_case__    :     bool   		=			True
							snake_case__    :     bool   		=			False
							snake_case__    :     bool   		=			False
							snake_case__    :     bool   		=			False
							snake_case__    :     float   		=			0

							snake_case__    :     bool   		=			True
							snake_case__    :     bool   		=			False

							snake_case__    :     int   		=			1_2_8
							snake_case__    :     "TrunkConfig"   		=			None




							def 					a_					(					self      : str					):


												"""simple docstring"""







												if self.trunk is None:
																	__lowerCamelCase						:       Tuple				   =				TrunkConfig()
												elif isinstance(self.trunk	,    A__					):
																	__lowerCamelCase						:       Optional[int]				   =				TrunkConfig(**self.trunk					)




							def 					a_					(					self      : int					):


												"""simple docstring"""







												__lowerCamelCase						:       List[Any]				   =				asdict(self					)
												__lowerCamelCase						:       Tuple				   =				self.trunk.to_dict()
												return output







@dataclass
class 	SCREAMING_SNAKE_CASE	:
							snake_case__    :     int   		=			4_8
							snake_case__    :     int   		=			1_0_2_4
							snake_case__    :     int   		=			1_2_8
							snake_case__    :     int   		=			3_2
							snake_case__    :     int   		=			3_2
							snake_case__    :     int   		=			3_2
							snake_case__    :     float   		=			0
							snake_case__    :     float   		=			0
							snake_case__    :     bool   		=			False
							snake_case__    :     int   		=			4
							snake_case__    :     Optional[int]   		=			1_2_8
							snake_case__    :     "StructureModuleConfig"   		=			None




							def 					a_					(					self      : Optional[int]					):


												"""simple docstring"""







												if self.structure_module is None:
																	__lowerCamelCase						:       str				   =				StructureModuleConfig()
												elif isinstance(self.structure_module	,    A__					):
																	__lowerCamelCase						:       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}."					)

												__lowerCamelCase						:       List[Any]				   =				self.sequence_state_dim // self.sequence_head_width
												__lowerCamelCase						:       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 					a_					(					self      : Optional[Any]					):


												"""simple docstring"""







												__lowerCamelCase						:       Optional[int]				   =				asdict(self					)
												__lowerCamelCase						:       int				   =				self.structure_module.to_dict()
												return output







@dataclass
class 	SCREAMING_SNAKE_CASE	:
							snake_case__    :     int   		=			3_8_4
							snake_case__    :     int   		=			1_2_8
							snake_case__    :     int   		=			1_6
							snake_case__    :     int   		=			1_2_8
							snake_case__    :     int   		=			1_2
							snake_case__    :     int   		=			4
							snake_case__    :     int   		=			8
							snake_case__    :     float   		=			0.1
							snake_case__    :     int   		=			8
							snake_case__    :     int   		=			1
							snake_case__    :     int   		=			2
							snake_case__    :     int   		=			7
							snake_case__    :     int   		=			1_0
							snake_case__    :     float   		=			1E-8
							snake_case__    :     float   		=			1E5




							def 					a_					(					self      : Optional[int]					):


												"""simple docstring"""







												return asdict(self					)

def     __lowercase  ()   ->     int:


					"""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>",
					)











'''simple docstring'''

from __future__ import annotations

from typing import Any
def     __lowercase  (_lowercase     )   ->     int:


     """simple docstring"""
     if not postfix_notation:
          return 0

     __lowerCamelCase						:       Optional[int]				   =				{"""+""", """-""", """*""", """/"""}
     __lowerCamelCase						:       list[Any]				   =				[]

     for token in postfix_notation:
          if token in operations:
               __lowerCamelCase   ,      __lowerCamelCase						:       List[Any]				   =				stack.pop(), stack.pop()
               if token == "+":
                    stack.append(a + b     )
               elif token == "-":
                    stack.append(a - b     )
               elif token == "*":
                    stack.append(a * b     )
               else:
                    if a * b < 0 and a % b != 0:
                         stack.append(a // b + 1     )
                    else:
                         stack.append(a // b     )
          else:
               stack.append(int(_lowercase     )     )

     return stack.pop()


if __name__ == "__main__":
   import doctest

   doctest.testmod()



