



"""simple docstring"""


from dataclasses import asdict, dataclass
from typing import Optional

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


__A   :							List[Any]										=   logging.get_logger(__name__)

# TODO Update this
__A   :							Tuple										=   {
    "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 (					lowerCAmelCase):
			"""simple docstring"""
			UpperCamelCase__			      =	"""esm"""



			def __init__(		self     :    Any				,   __UpperCamelCase     :    List[Any]=None				,   __UpperCamelCase     :    Dict=None				,   __UpperCamelCase     :    List[str]=None				,   __UpperCamelCase     :    str=7_6_8				,   __UpperCamelCase     :    Tuple=1_2				,   __UpperCamelCase     :    Tuple=1_2				,   __UpperCamelCase     :    Optional[int]=3_0_7_2				,   __UpperCamelCase     :    Tuple=0.1				,   __UpperCamelCase     :    Tuple=0.1				,   __UpperCamelCase     :    Optional[Any]=1_0_2_6				,   __UpperCamelCase     :    List[str]=0.0_2				,   __UpperCamelCase     :    str=1e-12				,   __UpperCamelCase     :    List[Any]="absolute"				,   __UpperCamelCase     :    Optional[Any]=True				,   __UpperCamelCase     :    int=None				,   __UpperCamelCase     :    Any=False				,   __UpperCamelCase     :    Dict=False				,   __UpperCamelCase     :    Optional[Any]=None				,   __UpperCamelCase     :    int=None				,   **__UpperCamelCase     :    Union[str, Any]				,   )->Dict:
							super().__init__(pad_token_id=__UpperCamelCase				,   mask_token_id=__UpperCamelCase				,   **__UpperCamelCase   )

							_UpperCAmelCase					=    vocab_size
							_UpperCAmelCase					=    hidden_size
							_UpperCAmelCase					=    num_hidden_layers
							_UpperCAmelCase					=    num_attention_heads
							_UpperCAmelCase					=    intermediate_size
							_UpperCAmelCase					=    hidden_dropout_prob
							_UpperCAmelCase					=    attention_probs_dropout_prob
							_UpperCAmelCase					=    max_position_embeddings
							_UpperCAmelCase					=    initializer_range
							_UpperCAmelCase					=    layer_norm_eps
							_UpperCAmelCase					=    position_embedding_type
							_UpperCAmelCase					=    use_cache
							_UpperCAmelCase					=    emb_layer_norm_before
							_UpperCAmelCase					=    token_dropout
							_UpperCAmelCase					=    is_folding_model
							if is_folding_model:
											if esmfold_config is None:
															logger.info('''No esmfold_config supplied for folding model, using default values.'''   )
															_UpperCAmelCase					=    EsmFoldConfig()
											elif isinstance(__UpperCamelCase				,   __UpperCamelCase   ):
															_UpperCAmelCase					=    EsmFoldConfig(**__UpperCamelCase   )
											_UpperCAmelCase					=    esmfold_config
											if vocab_list is None:
															logger.warning('''No vocab_list supplied for folding model, assuming the ESM-2 vocabulary!'''   )
															_UpperCAmelCase					=    get_default_vocab_list()
											else:
															_UpperCAmelCase					=    vocab_list
							else:
											_UpperCAmelCase					=    None
											_UpperCAmelCase					=    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  lowercase__						(		self     :    Tuple   )->Any:
							_UpperCAmelCase					=    super().to_dict()
							if isinstance(self.esmfold_config				,   __UpperCamelCase   ):
											_UpperCAmelCase					=    self.esmfold_config.to_dict()
							return output



@dataclass
class 			_a :
			"""simple docstring"""
			UpperCamelCase__			      =	None
			UpperCamelCase__			      =	True
			UpperCamelCase__			      =	False
			UpperCamelCase__			      =	False
			UpperCamelCase__			      =	False
			UpperCamelCase__			      =	0

			UpperCamelCase__			      =	True
			UpperCamelCase__			      =	False

			UpperCamelCase__			      =	128
			UpperCamelCase__			      =	None



			def  lowercase__						(		self     :    Union[str, Any]   )->Any:
							if self.trunk is None:
											_UpperCAmelCase					=    TrunkConfig()
							elif isinstance(self.trunk				,   __UpperCamelCase   ):
											_UpperCAmelCase					=    TrunkConfig(**self.trunk   )



			def  lowercase__						(		self     :    Optional[int]   )->Union[str, Any]:
							_UpperCAmelCase					=    asdict(self   )
							_UpperCAmelCase					=    self.trunk.to_dict()
							return output



@dataclass
class 			_a :
			"""simple docstring"""
			UpperCamelCase__			      =	48
			UpperCamelCase__			      =	1_024
			UpperCamelCase__			      =	128
			UpperCamelCase__			      =	32
			UpperCamelCase__			      =	32
			UpperCamelCase__			      =	32
			UpperCamelCase__			      =	0
			UpperCamelCase__			      =	0
			UpperCamelCase__			      =	False
			UpperCamelCase__			      =	4
			UpperCamelCase__			      =	128
			UpperCamelCase__			      =	None



			def  lowercase__						(		self     :    str   )->str:
							if self.structure_module is None:
											_UpperCAmelCase					=    StructureModuleConfig()
							elif isinstance(self.structure_module				,   __UpperCamelCase   ):
											_UpperCAmelCase					=    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}.'   )

							_UpperCAmelCase					=    self.sequence_state_dim // self.sequence_head_width
							_UpperCAmelCase					=    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  lowercase__						(		self     :    Any   )->Union[str, Any]:
							_UpperCAmelCase					=    asdict(self   )
							_UpperCAmelCase					=    self.structure_module.to_dict()
							return output



@dataclass
class 			_a :
			"""simple docstring"""
			UpperCamelCase__			      =	384
			UpperCamelCase__			      =	128
			UpperCamelCase__			      =	16
			UpperCamelCase__			      =	128
			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  lowercase__						(		self     :    List[str]   )->Optional[Any]:
							return asdict(self   )







def  lowercase	(      ):






				'''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"""


import operator







def  lowercase	(      _SCREAMING_SNAKE_CASE   :						list					,     _SCREAMING_SNAKE_CASE   :						bool = False					,     _SCREAMING_SNAKE_CASE   :						list | None = None				):






				'''simple docstring'''



				_UpperCAmelCase					=    operator.lt if reverse else operator.gt
				_UpperCAmelCase					=    solution or []

				if not arr:
								return solution

				_UpperCAmelCase					=    [arr.pop(0				)]
				for i, item in enumerate(_SCREAMING_SNAKE_CASE				):
								if _operator(_SCREAMING_SNAKE_CASE					,     sublist[-1]				):
												sublist.append(_SCREAMING_SNAKE_CASE				)
												arr.pop(_SCREAMING_SNAKE_CASE				)

    #  merging sublist into solution list
				if not solution:
								solution.extend(_SCREAMING_SNAKE_CASE				)
				else:
								while sublist:
												_UpperCAmelCase					=    sublist.pop(0				)
												for i, xx in enumerate(_SCREAMING_SNAKE_CASE				):
																if not _operator(_SCREAMING_SNAKE_CASE					,     _SCREAMING_SNAKE_CASE				):
																				solution.insert(_SCREAMING_SNAKE_CASE					,     _SCREAMING_SNAKE_CASE				)
																				break
												else:
																solution.append(_SCREAMING_SNAKE_CASE				)

				strand_sort(_SCREAMING_SNAKE_CASE					,     _SCREAMING_SNAKE_CASE					,     _SCREAMING_SNAKE_CASE				)
				return solution


if __name__ == "__main__":
					assert strand_sort([4, 3, 5, 1, 2]) == [1, 2, 3, 4, 5]
					assert strand_sort([4, 3, 5, 1, 2], reverse=True) == [5, 4, 3, 2, 1]



