



import os
from typing import List, Optional, Union

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


SCREAMING_SNAKE_CASE__   			=   logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__   			=   {'''vocab_file''': '''vocab.txt'''}

SCREAMING_SNAKE_CASE__   			=   {
    '''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''',
    },
}

SCREAMING_SNAKE_CASE__   			=   {
    '''facebook/esm2_t6_8M_UR50D''': 1_0_2_4,
    '''facebook/esm2_t12_35M_UR50D''': 1_0_2_4,
}


def A    (							__UpperCamelCase       )    ->   Optional[Any]:
			with open(__UpperCamelCase			,						'r'       ) as f:
						A__	  =     f.read().splitlines()
						return [l.strip() for l in lines]






class   __lowerCAmelCase  (		UpperCAmelCase_   ):
					"""simple docstring"""






					A__					:		List[str]      							=     VOCAB_FILES_NAMES
					A__					:		Dict      							=     PRETRAINED_VOCAB_FILES_MAP
					A__					:		Tuple      							=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					A__					:		Optional[int]      							=     ["input_ids", "attention_mask"]



					def __init__(  self       :							Optional[Any]					,       _snake_case       :							Union[str, Any]					,       _snake_case       :							Tuple="<unk>"					,       _snake_case       :							Union[str, Any]="<cls>"					,       _snake_case       :							List[str]="<pad>"					,       _snake_case       :							Optional[Any]="<mask>"					,       _snake_case       :							Optional[Any]="<eos>"					,       **_snake_case       :							List[Any]					,       ):






								"""simple docstring"""


								super().__init__(**_snake_case       )
								A__	  =     load_vocab_file(_snake_case       )
								A__	  =     dict(enumerate(self.all_tokens       )       )
								A__	  =     {tok: ind for ind, tok in enumerate(self.all_tokens       )}
								A__	  =     unk_token
								A__	  =     cls_token
								A__	  =     pad_token
								A__	  =     mask_token
								A__	  =     eos_token
								A__	  =     self.all_tokens
								self._create_trie(self.unique_no_split_tokens       )



					def      _a				(  self       :							Optional[Any]					,       _snake_case       :							int       ):






								"""simple docstring"""


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



					def      _a				(  self       :							List[Any]					,       _snake_case       :							str       ):






								"""simple docstring"""


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



					def      _a				(  self       :							str					,       _snake_case       :							List[Any]					,       **_snake_case       :							Optional[Any]       ):






								"""simple docstring"""


								return text.split()



					def      _a				(  self       :							Any					,       _snake_case       :							str=False       ):






								"""simple docstring"""


								return len(self._id_to_token       )



					def      _a				(  self       :							Union[str, Any]       ):






								"""simple docstring"""


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



					def      _a				(  self       :							Optional[Any]					,       _snake_case       :							str       ):






								"""simple docstring"""


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



					def      _a				(  self       :							Union[str, Any]					,       _snake_case       :							int       ):






								"""simple docstring"""


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



					def      _a				(  self       :							Tuple					,       _snake_case       :							List[int]					,       _snake_case       :							Optional[List[int]] = None       ):






								"""simple docstring"""


								A__	  =     [self.cls_token_id]
								A__	  =     [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       :							List[Any]					,       _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]
								A__	  =     [1] + ([0] * len(_snake_case       )) + [1]
								if token_ids_a is not None:
											mask += [0] * len(_snake_case       ) + [1]
								return mask



					def      _a				(  self       :							Optional[int]					,       _snake_case       :							Union[str, Any]					,       _snake_case       :							int       ):






								"""simple docstring"""


								A__	  =     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       :							Union[str, Any]       ):






								"""simple docstring"""


								return self.get_vocab_size(with_added_tokens=_snake_case       )



					def      _a				(  self       :							Tuple					,       _snake_case       :							Union[List[str], List[AddedToken]]					,       _snake_case       :							bool = False       ):






								"""simple docstring"""


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





'''simple docstring'''

import warnings


warnings.warn(
    'memory_utils has been reorganized to utils.memory. Import `find_executable_batchsize` from the main `__init__`: '
    '`from accelerate import find_executable_batch_size` to avoid this warning.',
    FutureWarning,
)




