



'''simple docstring'''



from dataclasses import asdict, dataclass
from typing import Optional

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


lowerCAmelCase_     :       Tuple								=						logging.get_logger(__name__)

# TODO Update this
lowerCAmelCase_     :       List[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 	lowerCamelCase_							(					_snake_case			):
						_lowerCAmelCase     :   Any	     =				'esm'







						def __init__(  self   :      Tuple				,    lowerCAmelCase__   :      Optional[Any]=None				,    lowerCAmelCase__   :      int=None				,    lowerCAmelCase__   :      int=None				,    lowerCAmelCase__   :      Optional[Any]=7_68				,    lowerCAmelCase__   :      List[str]=12				,    lowerCAmelCase__   :      Optional[int]=12				,    lowerCAmelCase__   :      Union[str, Any]=30_72				,    lowerCAmelCase__   :      List[str]=0.1				,    lowerCAmelCase__   :      List[str]=0.1				,    lowerCAmelCase__   :      List[str]=10_26				,    lowerCAmelCase__   :      int=0.02				,    lowerCAmelCase__   :      Any=1e-12				,    lowerCAmelCase__   :      Dict="absolute"				,    lowerCAmelCase__   :      Dict=True				,    lowerCAmelCase__   :      Union[str, Any]=None				,    lowerCAmelCase__   :      List[Any]=False				,    lowerCAmelCase__   :      int=False				,    lowerCAmelCase__   :      int=None				,    lowerCAmelCase__   :      Union[str, Any]=None				,    **lowerCAmelCase__   :      List[Any]				,    ):

													"""simple docstring"""
													super().__init__(pad_token_id=lowerCAmelCase__				,    mask_token_id=lowerCAmelCase__				,    **lowerCAmelCase__				)

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

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      str     					=			super().to_dict()
													if isinstance(self.esmfold_config				,    lowerCAmelCase__				):
																				SCREAMING_SNAKE_CASE					:      Tuple     					=			self.esmfold_config.to_dict()
													return output


@dataclass
class 	lowerCamelCase_							:
						_lowerCAmelCase     :   str	     =				None
						_lowerCAmelCase     :   bool	     =				True
						_lowerCAmelCase     :   bool	     =				False
						_lowerCAmelCase     :   bool	     =				False
						_lowerCAmelCase     :   bool	     =				False
						_lowerCAmelCase     :   float	     =				0

						_lowerCAmelCase     :   bool	     =				True
						_lowerCAmelCase     :   bool	     =				False

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







						def 					__lowercase    (  self   :      str				):

													"""simple docstring"""

													if self.trunk is None:
																				SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			TrunkConfig()
													elif isinstance(self.trunk				,    lowerCAmelCase__				):
																				SCREAMING_SNAKE_CASE					:      Any     					=			TrunkConfig(**self.trunk				)







						def 					__lowercase    (  self   :      Optional[Any]				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      str     					=			asdict(self				)
													SCREAMING_SNAKE_CASE					:      str     					=			self.trunk.to_dict()
													return output


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







						def 					__lowercase    (  self   :      Optional[Any]				):

													"""simple docstring"""

													if self.structure_module is None:
																				SCREAMING_SNAKE_CASE					:      List[str]     					=			StructureModuleConfig()
													elif isinstance(self.structure_module				,    lowerCAmelCase__				):
																				SCREAMING_SNAKE_CASE					:      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}."""				)

													SCREAMING_SNAKE_CASE					:      List[str]     					=			self.sequence_state_dim // self.sequence_head_width
													SCREAMING_SNAKE_CASE					:      List[str]     					=			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   :      Dict				):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE					:      Tuple     					=			asdict(self				)
													SCREAMING_SNAKE_CASE					:      Optional[int]     					=			self.structure_module.to_dict()
													return output


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







						def 					__lowercase    (  self   :      int				):

													"""simple docstring"""
													return asdict(self				)


def      UpperCAmelCase   (						):
							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 string
from math import logaa
def 					UpperCAmelCase   (						A  :				str					,		A  :				str				):
							SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			document.translate(
							    str.maketrans(''''''					,		''''''					,		string.punctuation				)				).replace('''\n'''					,		''''''				)
							SCREAMING_SNAKE_CASE					:      Tuple     					=			document_without_punctuation.split(''' '''				)  # word tokenization
							return len([word for word in tokenize_document if word.lower() == term.lower()]				)
def 					UpperCAmelCase   (						A  :				str					,		A  :				str				):
							SCREAMING_SNAKE_CASE					:      int     					=			corpus.lower().translate(
							    str.maketrans(''''''					,		''''''					,		string.punctuation				)				)  # strip all punctuation and replace it with ''
							SCREAMING_SNAKE_CASE					:      Any     					=			corpus_without_punctuation.split('''\n'''				)
							SCREAMING_SNAKE_CASE					:      Optional[Any]     					=			term.lower()
							return (len([doc for doc in docs if term in doc]				), len(A				))
def 					UpperCAmelCase   (						A  :				int					,		A  :				int					,		A  :				str=False				):
							if smoothing:
														if n == 0:
																					raise ValueError('''log10(0) is undefined.'''				)
														return round(1 + logaa(n / (1 + df)				)					,		3				)

							if df == 0:
														raise ZeroDivisionError('''df must be > 0'''				)
							elif n == 0:
														raise ValueError('''log10(0) is undefined.'''				)
							return round(logaa(n / df				)					,		3				)






def 					UpperCAmelCase   (						A  :				int					,		A  :				int				):
							return round(tf * idf					,		3				)




