


import os
from typing import List, Optional, Union

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


UpperCAmelCase      =   logging.get_logger(__name__)

UpperCAmelCase      =   {"""vocab_file""": """vocab.txt"""}

UpperCAmelCase      =   {
    """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      =   {
    """facebook/esm2_t6_8M_UR50D""": 1024,
    """facebook/esm2_t12_35M_UR50D""": 1024,
}






def 	__lowerCAmelCase   (SCREAMING_SNAKE_CASE )->  Dict:




      """simple docstring"""

      with open(SCREAMING_SNAKE_CASE , '''r''' ) as f:
            snake_case_	=				f.read().splitlines()
            return [l.strip() for l in lines]







class lowerCAmelCase_						(			UpperCamelCase__	):

 '''simple docstring'''

 __snake_case												=  VOCAB_FILES_NAMES
 __snake_case												=  PRETRAINED_VOCAB_FILES_MAP
 __snake_case												=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __snake_case												=  ['''input_ids''', '''attention_mask''']



 def __init__(     self		,				_UpperCAmelCase		,				_UpperCAmelCase="<unk>"		,				_UpperCAmelCase="<cls>"		,				_UpperCAmelCase="<pad>"		,				_UpperCAmelCase="<mask>"		,				_UpperCAmelCase="<eos>"		,				**_UpperCAmelCase		,				):
       super().__init__(**UpperCamelCase_ )
       snake_case_	=				load_vocab_file(UpperCamelCase_ )
       snake_case_	=				dict(enumerate(self.all_tokens ) )
       snake_case_	=				{tok: ind for ind, tok in enumerate(self.all_tokens )}
       snake_case_	=				unk_token
       snake_case_	=				cls_token
       snake_case_	=				pad_token
       snake_case_	=				mask_token
       snake_case_	=				eos_token
       snake_case_	=				self.all_tokens
       self._create_trie(self.unique_no_split_tokens )



 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase ):
       return self._id_to_token.get(UpperCamelCase_		,				self.unk_token )



 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase ):
       return self._token_to_id.get(UpperCamelCase_		,				self._token_to_id.get(self.unk_token ) )



 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase		,				**_UpperCAmelCase ):
       return text.split()



 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase=False ):
       return len(self._id_to_token )



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



 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase ):
       return self._token_to_id.get(UpperCamelCase_		,				self._token_to_id.get(self.unk_token ) )



 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase ):
       return self._id_to_token.get(UpperCamelCase_		,				self.unk_token )



 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase		,				_UpperCAmelCase = None ):
       snake_case_	=				[self.cls_token_id]
       snake_case_	=				[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 						UpperCamelCase__					(     self		,				_UpperCAmelCase		,				_UpperCAmelCase = None		,				_UpperCAmelCase = False ):







       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]
       snake_case_	=				[1] + ([0] * len(UpperCamelCase_ )) + [1]
       if token_ids_a is not None:
             mask += [0] * len(UpperCamelCase_ ) + [1]
       return mask



 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase		,				_UpperCAmelCase ):
       snake_case_	=				os.path.join(UpperCamelCase_		,				(filename_prefix + '''-''' if filename_prefix else '''''') + '''vocab.txt''' )
       with open(UpperCamelCase_		,				'''w''' ) as f:
             f.write('''\n'''.join(self.all_tokens ) )
       return (vocab_file,)



 @property
 def 						UpperCamelCase__					(     self ):
       return self.get_vocab_size(with_added_tokens=UpperCamelCase_ )





 def 						UpperCamelCase__					(     self		,				_UpperCAmelCase		,				_UpperCAmelCase = False ):
       return super()._add_tokens(UpperCamelCase_		,				special_tokens=UpperCamelCase_ )



import unittest

from transformers.utils.backbone_utils import (
    BackboneMixin,
    get_aligned_output_features_output_indices,
    verify_out_features_out_indices,
)







class lowerCAmelCase_						(			unittest.TestCase	):

 '''simple docstring'''

 def 						UpperCamelCase__					(     self ):
       snake_case_	=				['''a''', '''b''', '''c''']

       # Defaults to last layer if both are None
       snake_case_	,   snake_case_	=				get_aligned_output_features_output_indices(_UpperCAmelCase		,				_UpperCAmelCase		,				_UpperCAmelCase )
       self.assertEqual(_UpperCAmelCase		,				['''c'''] )
       self.assertEqual(_UpperCAmelCase		,				[2] )

       # Out indices set to match out features
       snake_case_	,   snake_case_	=				get_aligned_output_features_output_indices(['''a''', '''c''']		,				_UpperCAmelCase		,				_UpperCAmelCase )
       self.assertEqual(_UpperCAmelCase		,				['''a''', '''c'''] )
       self.assertEqual(_UpperCAmelCase		,				[0, 2] )

       # Out features set to match out indices
       snake_case_	,   snake_case_	=				get_aligned_output_features_output_indices(_UpperCAmelCase		,				[0, 2]		,				_UpperCAmelCase )
       self.assertEqual(_UpperCAmelCase		,				['''a''', '''c'''] )
       self.assertEqual(_UpperCAmelCase		,				[0, 2] )

       # Out features selected from negative indices
       snake_case_	,   snake_case_	=				get_aligned_output_features_output_indices(_UpperCAmelCase		,				[-3, -1]		,				_UpperCAmelCase )
       self.assertEqual(_UpperCAmelCase		,				['''a''', '''c'''] )
       self.assertEqual(_UpperCAmelCase		,				[-3, -1] )



 def 						UpperCamelCase__					(     self ):
       # Stage names must be set
       with self.assertRaises(_UpperCAmelCase ):
             verify_out_features_out_indices(['''a''', '''b''']		,				(0, 1)		,				_UpperCAmelCase )

       # Out features must be a list
       with self.assertRaises(_UpperCAmelCase ):
             verify_out_features_out_indices(('''a''', '''b''')		,				(0, 1)		,				['''a''', '''b'''] )

       # Out features must be a subset of stage names
       with self.assertRaises(_UpperCAmelCase ):
             verify_out_features_out_indices(['''a''', '''b''']		,				(0, 1)		,				['''a'''] )

       # Out indices must be a list or tuple
       with self.assertRaises(_UpperCAmelCase ):
             verify_out_features_out_indices(_UpperCAmelCase		,				0		,				['''a''', '''b'''] )

       # Out indices must be a subset of stage names
       with self.assertRaises(_UpperCAmelCase ):
             verify_out_features_out_indices(_UpperCAmelCase		,				(0, 1)		,				['''a'''] )

       # Out features and out indices must be the same length
       with self.assertRaises(_UpperCAmelCase ):
             verify_out_features_out_indices(['''a''', '''b''']		,				(0,)		,				['''a''', '''b''', '''c'''] )

       # Out features should match out indices
       with self.assertRaises(_UpperCAmelCase ):
             verify_out_features_out_indices(['''a''', '''b''']		,				(0, 2)		,				['''a''', '''b''', '''c'''] )

       # Out features and out indices should be in order
       with self.assertRaises(_UpperCAmelCase ):
             verify_out_features_out_indices(['''b''', '''a''']		,				(0, 1)		,				['''a''', '''b'''] )

       # Check passes with valid inputs
       verify_out_features_out_indices(['''a''', '''b''', '''d''']		,				(0, 1, -1)		,				['''a''', '''b''', '''c''', '''d'''] )





 def 						UpperCamelCase__					(     self ):
       snake_case_	=				BackboneMixin()

       snake_case_	=				['''a''', '''b''', '''c''']
       snake_case_	=				['''a''', '''c''']
       snake_case_	=				[0, 2]

       # Check that the output features and indices are set correctly
       self.assertEqual(backbone.out_features		,				['''a''', '''c'''] )
       self.assertEqual(backbone.out_indices		,				[0, 2] )

       # Check out features and indices are updated correctly
       snake_case_	=				['''a''', '''b''']
       self.assertEqual(backbone.out_features		,				['''a''', '''b'''] )
       self.assertEqual(backbone.out_indices		,				[0, 1] )

       snake_case_	=				[-3, -1]
       self.assertEqual(backbone.out_features		,				['''a''', '''c'''] )
       self.assertEqual(backbone.out_indices		,				[-3, -1] )