




import os
from typing import List, Optional, Union

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


UpperCAmelCase_		:				Union[str, Any]									=     logging.get_logger(__name__)

UpperCAmelCase_		:				Dict									=     {"vocab_file": "vocab.txt"}

UpperCAmelCase_		:				int									=     {
    "vocab_file": {
        "facebook/esm2_t6_8M_UR50D": "https://huggingface.co/facebook/esm2_t6_8M_UR50D/resolve/main/vocab.txt",
        "facebook/esm2_t12_35M_UR50D": "https://huggingface.co/facebook/esm2_t12_35M_UR50D/resolve/main/vocab.txt",
    },
}

UpperCAmelCase_		:				List[str]									=     {
    "facebook/esm2_t6_8M_UR50D": 1024,
    "facebook/esm2_t12_35M_UR50D": 1024,
}




def 		lowerCAmelCase_   (	lowerCamelCase   ):
				with open(lowerCamelCase	,     """r"""   ) as f:
								__magic_name__	:	Dict								=f.read().splitlines()
								return [l.strip() for l in lines]




class 		__A      (			UpperCamelCase__			):
						UpperCamelCase     						=					VOCAB_FILES_NAMES
						UpperCamelCase     						=					PRETRAINED_VOCAB_FILES_MAP
						UpperCamelCase     						=					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						UpperCamelCase     						=					["""input_ids""", """attention_mask"""]

						def __init__(		self   :Dict    , __snake_case   :List[Any]    , __snake_case   :Any="<unk>"    , __snake_case   :Dict="<cls>"    , __snake_case   :List[str]="<pad>"    , __snake_case   :List[Any]="<mask>"    , __snake_case   :List[Any]="<eos>"    , **__snake_case   :Dict    , ):
										'''simple docstring'''

										super().__init__(**__snake_case )
										__magic_name__	:	Any								=load_vocab_file(__snake_case )
										__magic_name__	:	Any								=dict(enumerate(self.all_tokens ) )
										__magic_name__	:	Optional[int]								={tok: ind for ind, tok in enumerate(self.all_tokens )}
										__magic_name__	:	List[str]								=unk_token
										__magic_name__	:	Optional[int]								=cls_token
										__magic_name__	:	Union[str, Any]								=pad_token
										__magic_name__	:	str								=mask_token
										__magic_name__	:	Dict								=eos_token
										__magic_name__	:	List[Any]								=self.all_tokens
										self._create_trie(self.unique_no_split_tokens )

						def     A__						(		self   :List[Any]    , __snake_case   :int ):
										'''simple docstring'''

										return self._id_to_token.get(__snake_case    , self.unk_token )

						def     A__						(		self   :List[str]    , __snake_case   :str ):
										'''simple docstring'''

										return self._token_to_id.get(__snake_case    , self._token_to_id.get(self.unk_token ) )

						def     A__						(		self   :Tuple    , __snake_case   :str    , **__snake_case   :List[Any] ):
										'''simple docstring'''

										return text.split()

						def     A__						(		self   :List[Any]    , __snake_case   :List[Any]=False ):
										'''simple docstring'''

										return len(self._id_to_token )

						def     A__						(		self   :Dict ):
										'''simple docstring'''

										return {token: i for i, token in enumerate(self.all_tokens )}

						def     A__						(		self   :Tuple    , __snake_case   :str ):
										'''simple docstring'''

										return self._token_to_id.get(__snake_case    , self._token_to_id.get(self.unk_token ) )

						def     A__						(		self   :Optional[Any]    , __snake_case   :int ):
										'''simple docstring'''

										return self._id_to_token.get(__snake_case    , self.unk_token )

						def     A__						(		self   :Union[str, Any]    , __snake_case   :List[int]    , __snake_case   :Optional[List[int]] = None ):
										'''simple docstring'''

										__magic_name__	:	int								=[self.cls_token_id]
										__magic_name__	:	Optional[int]								=[self.eos_token_id]  # No sep token in ESM vocabulary
										if token_ids_a is None:
														if self.eos_token_id is None:
																		return cls + token_ids_a
														else:
																		return cls + token_ids_a + sep
										elif self.eos_token_id is None:
														raise ValueError("""Cannot tokenize multiple sequences when EOS token is not set!""" )
										return cls + token_ids_a + sep + token_ids_a + sep  # Multiple inputs always have an EOS token

						def     A__						(		self   :Dict    , __snake_case   :List    , __snake_case   :Optional[List] = None    , __snake_case   :bool = False ):
										'''simple docstring'''

										if already_has_special_tokens:
														if token_ids_a is not None:
																		raise ValueError(
																		    """You should not supply a second sequence if the provided sequence of """
																		    """ids is already formatted with special tokens for the model.""" )

														return [1 if token in self.all_special_ids else 0 for token in token_ids_a]
										__magic_name__	:	Tuple								=[1] + ([0] * len(__snake_case )) + [1]
										if token_ids_a is not None:
														mask += [0] * len(__snake_case ) + [1]
										return mask

						def     A__						(		self   :Any    , __snake_case   :int    , __snake_case   :int ):
										'''simple docstring'''

										__magic_name__	:	int								=os.path.join(__snake_case    , (filename_prefix + """-""" if filename_prefix else """""") + """vocab.txt""" )
										with open(__snake_case    , """w""" ) as f:
														f.write("""\n""".join(self.all_tokens ) )
										return (vocab_file,)

						@property
						def     A__						(		self   :Dict ):
										'''simple docstring'''

										return self.get_vocab_size(with_added_tokens=__snake_case )


						def     A__						(		self   :str    , __snake_case   :Union[List[str], List[AddedToken]]    , __snake_case   :bool = False ):
										'''simple docstring'''

										return super()._add_tokens(__snake_case    , special_tokens=__snake_case )










from math import pow, sqrt




def 		lowerCAmelCase_   (	*lowerCamelCase   ):
				__magic_name__	:	Tuple								=len(lowerCamelCase   ) > 0 and all(value > 0.0 for value in values   )
				return result




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase   ):
				return (
				    round(sqrt(molar_mass_a / molar_mass_a   )	,     6   )
				    if validate(lowerCamelCase	,     lowerCamelCase   )
				    else ValueError("""Input Error: Molar mass values must greater than 0."""   )
				)




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   ):
				return (
				    round(effusion_rate * sqrt(molar_mass_a / molar_mass_a   )	,     6   )
				    if validate(lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   )
				    else ValueError(
				        """Input Error: Molar mass and effusion rate values must greater than 0."""   )
				)




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   ):
				return (
				    round(effusion_rate / sqrt(molar_mass_a / molar_mass_a   )	,     6   )
				    if validate(lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   )
				    else ValueError(
				        """Input Error: Molar mass and effusion rate values must greater than 0."""   )
				)




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   ):
				return (
				    round(molar_mass / pow(effusion_rate_a / effusion_rate_a	,     2   )	,     6   )
				    if validate(lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   )
				    else ValueError(
				        """Input Error: Molar mass and effusion rate values must greater than 0."""   )
				)




def 		lowerCAmelCase_   (	lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   ):
				return (
				    round(pow(effusion_rate_a / effusion_rate_a	,     2   ) / molar_mass	,     6   )
				    if validate(lowerCamelCase	,     lowerCamelCase	,     lowerCamelCase   )
				    else ValueError(
				        """Input Error: Molar mass and effusion rate values must greater than 0."""   )
				)




