
import warnings
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


UpperCAmelCase       =					logging.get_logger(__name__)







class 			A_  (     __lowerCamelCase  ):




	'''simple docstring'''


	_UpperCamelCase	:	List[Any]									=			["""input_ids""", """attention_mask"""]





	def __init__(			self						,       snake_case="</s>"						,       snake_case="<unk>"						,       snake_case="<pad>"						,       snake_case=125						,       snake_case=None						,       **snake_case						,       ):
		# Add extra_ids to the special token list
		if extra_ids > 0 and additional_special_tokens is None:
			lowercase	    =       [F'''<extra_id_{i}>''' for i in range(snake_case			)]
		elif extra_ids > 0 and additional_special_tokens is not None:
			# Check that we have the right number of extra_id special tokens
			lowercase	    =       len(set(filter(lambda snake_case			: bool('extra_id' in str(snake_case			)			)						,       snake_case			)			)			)
			if extra_tokens != extra_ids:
				raise ValueError(
				    F'''Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are'''
				    ' provided to ByT5Tokenizer. In this case the additional_special_tokens must include the'
				    ' extra_ids tokens'			)

		lowercase	    =       AddedToken(snake_case						,       lstrip=snake_case						,       rstrip=snake_case			) if isinstance(snake_case						,       snake_case			) else pad_token
		lowercase	    =       AddedToken(snake_case						,       lstrip=snake_case						,       rstrip=snake_case			) if isinstance(snake_case						,       snake_case			) else eos_token
		lowercase	    =       AddedToken(snake_case						,       lstrip=snake_case						,       rstrip=snake_case			) if isinstance(snake_case						,       snake_case			) else unk_token

		super().__init__(
		    eos_token=snake_case						,       unk_token=snake_case						,       pad_token=snake_case						,       extra_ids=snake_case						,       additional_special_tokens=snake_case						,       **snake_case						,       )

		lowercase	    =       extra_ids

		lowercase	    =       2**8  # utf is 8 bits

		# define special tokens dict
		lowercase	    =       {
		    self.pad_token: 0,
		    self.eos_token: 1,
		    self.unk_token: 2,
		}
		lowercase	    =       len(self.special_tokens_encoder			)
		lowercase	    =       len(snake_case			)
		for i, token in enumerate(snake_case			):
			lowercase	    =       self.vocab_size + i - n
		lowercase	    =       {v: k for k, v in self.special_tokens_encoder.items()}





	@property
	def       SCREAMING_SNAKE_CASE__		(			self			):
		return self._utf_vocab_size + self._num_special_tokens + self._extra_ids





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case						,       snake_case = None						,       snake_case = False			):
		if already_has_special_tokens:
			return super().get_special_tokens_mask(
			    token_ids_a=snake_case						,       token_ids_a=snake_case						,       already_has_special_tokens=snake_case			)

		# normal case: some special tokens
		if token_ids_a is None:
			return ([0] * len(snake_case			)) + [1]
		return ([0] * len(snake_case			)) + [1] + ([0] * len(snake_case			)) + [1]





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case			):
		if len(snake_case			) > 0 and token_ids[-1] == self.eos_token_id:
			warnings.warn(
			    F'''This sequence already has {self.eos_token}. In future versions this behavior may lead to duplicated'''
			    ' eos tokens being added.'			)
			return token_ids
		else:
			return token_ids + [self.eos_token_id]





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case						,       snake_case = None			):
		lowercase	    =       [self.eos_token_id]

		if token_ids_a is None:
			return len(token_ids_a + eos			) * [0]
		return len(token_ids_a + eos + token_ids_a + eos			) * [0]





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case						,       snake_case = None			):
		lowercase	    =       self._add_eos_if_not_present(snake_case			)
		if token_ids_a is None:
			return token_ids_a
		else:
			lowercase	    =       self._add_eos_if_not_present(snake_case			)
			return token_ids_a + token_ids_a





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case			):
		lowercase	    =       [chr(snake_case			) for i in text.encode('utf-8'			)]
		return tokens





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case			):
		if token in self.special_tokens_encoder:
			lowercase	    =       self.special_tokens_encoder[token]
		elif token in self.added_tokens_encoder:
			lowercase	    =       self.added_tokens_encoder[token]
		elif len(snake_case			) != 1:
			lowercase	    =       self.unk_token_id
		else:
			lowercase	    =       ord(snake_case			) + self._num_special_tokens
		return token_id





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case			):
		if index in self.special_tokens_decoder:
			lowercase	    =       self.special_tokens_decoder[index]
		else:
			lowercase	    =       chr(index - self._num_special_tokens			)
		return token





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case			):
		lowercase	    =       B''
		for token in tokens:
			if token in self.special_tokens_decoder:
				lowercase	    =       self.special_tokens_decoder[token].encode('utf-8'			)
			elif token in self.added_tokens_decoder:
				lowercase	    =       self.special_tokens_decoder[token].encode('utf-8'			)
			elif token in self.special_tokens_encoder:
				lowercase	    =       token.encode('utf-8'			)
			elif token in self.added_tokens_encoder:
				lowercase	    =       token.encode('utf-8'			)
			else:
				lowercase	    =       bytes([ord(snake_case			)]			)
			bstring += tok_string
		lowercase	    =       bstring.decode('utf-8'						,       errors='ignore'			)
		return string





	def       SCREAMING_SNAKE_CASE__		(			self						,       snake_case						,       snake_case = None			):
		return ()



from dataclasses import asdict, dataclass
from typing import Optional

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


_lowercase											=    logging.get_logger(__name__)

# TODO Update this
_lowercase											=    {
    """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 			lowercase_		(      A       ):
       __lowerCamelCase				       =						"esm"


       def __init__(    self						,       __A=None						,       __A=None						,       __A=None						,       __A=768						,       __A=12						,       __A=12						,       __A=3_072						,       __A=0.1						,       __A=0.1						,       __A=1_026						,       __A=0.02						,       __A=1e-1_2						,       __A="absolute"						,       __A=True						,       __A=None						,       __A=False						,       __A=False						,       __A=None						,       __A=None						,       **__A						,       )						->    int:
              super().__init__(pad_token_id=__A						,       mask_token_id=__A						,       **__A				)

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






@dataclass
class 			lowercase_		:
       __lowerCamelCase				       =						None
       __lowerCamelCase				       =						True
       __lowerCamelCase				       =						False
       __lowerCamelCase				       =						False
       __lowerCamelCase				       =						False
       __lowerCamelCase				       =						0

       __lowerCamelCase				       =						True
       __lowerCamelCase				       =						False

       __lowerCamelCase				       =						1_2_8
       __lowerCamelCase				       =						None


       def 	_snake_case				(    self				)						->    Optional[Any]:
              if self.trunk is None:
                     SCREAMING_SNAKE_CASE_							:				Tuple		=TrunkConfig()
              elif isinstance(self.trunk						,       __A				):
                     SCREAMING_SNAKE_CASE_							:				List[str]		=TrunkConfig(**self.trunk				)





       def 	_snake_case				(    self				)						->    List[Any]:
              SCREAMING_SNAKE_CASE_							:				int		=asdict(self				)
              SCREAMING_SNAKE_CASE_							:				Tuple		=self.trunk.to_dict()
              return output






@dataclass
class 			lowercase_		:
       __lowerCamelCase				       =						4_8
       __lowerCamelCase				       =						1_0_2_4
       __lowerCamelCase				       =						1_2_8
       __lowerCamelCase				       =						3_2
       __lowerCamelCase				       =						3_2
       __lowerCamelCase				       =						3_2
       __lowerCamelCase				       =						0
       __lowerCamelCase				       =						0
       __lowerCamelCase				       =						False
       __lowerCamelCase				       =						4
       __lowerCamelCase				       =						1_2_8
       __lowerCamelCase				       =						None


       def 	_snake_case				(    self				)						->    int:
              if self.structure_module is None:
                     SCREAMING_SNAKE_CASE_							:				Dict		=StructureModuleConfig()
              elif isinstance(self.structure_module						,       __A				):
                     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_							:				Tuple		=self.sequence_state_dim // self.sequence_head_width
              SCREAMING_SNAKE_CASE_							:				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 	_snake_case				(    self				)						->    int:
              SCREAMING_SNAKE_CASE_							:				str		=asdict(self				)
              SCREAMING_SNAKE_CASE_							:				Optional[int]		=self.structure_module.to_dict()
              return output






@dataclass
class 			lowercase_		:
       __lowerCamelCase				       =						3_8_4
       __lowerCamelCase				       =						1_2_8
       __lowerCamelCase				       =						1_6
       __lowerCamelCase				       =						1_2_8
       __lowerCamelCase				       =						1_2
       __lowerCamelCase				       =						4
       __lowerCamelCase				       =						8
       __lowerCamelCase				       =						0.1
       __lowerCamelCase				       =						8
       __lowerCamelCase				       =						1
       __lowerCamelCase				       =						2
       __lowerCamelCase				       =						7
       __lowerCamelCase				       =						1_0
       __lowerCamelCase				       =						1E-8
       __lowerCamelCase				       =						1E5


       def 	_snake_case				(    self				)						->    str:
              return asdict(self				)






def 							SCREAMING_SNAKE_CASE_	(					)			->						int:
       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>",
       )
