

import os
from typing import List, Optional, Union

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


lowercase_             =     logging.get_logger(__name__)

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

lowercase_             =     {
    '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',
    },
}

lowercase_             =     {
    'facebook/esm2_t6_8M_UR50D': 1_0_2_4,
    'facebook/esm2_t12_35M_UR50D': 1_0_2_4,
}
def   a   (    A__			:     Dict  )					->   int:





      """simple docstring"""



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







class 				__lowerCAmelCase  (      SCREAMING_SNAKE_CASE							):
  _a		    =						VOCAB_FILES_NAMES
  _a		    =						PRETRAINED_VOCAB_FILES_MAP
  _a		    =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _a		    =						["""input_ids""", """attention_mask"""]




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






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




  def 						A__  (       self							,     lowerCAmelCase      )						->				str:
        '''simple docstring'''






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




  def 						A__  (       self							,     lowerCAmelCase      )						->				int:
        '''simple docstring'''






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




  def 						A__  (       self							,     lowerCAmelCase							,     **lowerCAmelCase      )						->				Union[str, Any]:
        '''simple docstring'''






        return text.split()




  def 						A__  (       self							,     lowerCAmelCase=False      )						->				Union[str, Any]:
        '''simple docstring'''






        return len(self._id_to_token      )




  def 						A__  (       self      )						->				Tuple:
        '''simple docstring'''






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




  def 						A__  (       self							,     lowerCAmelCase      )						->				int:
        '''simple docstring'''






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




  def 						A__  (       self							,     lowerCAmelCase      )						->				str:
        '''simple docstring'''






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




  def 						A__  (       self							,     lowerCAmelCase							,     lowerCAmelCase = None      )						->				List[int]:
        '''simple docstring'''






        _lowercase			 =[self.cls_token_id]
        _lowercase			 =[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							,     lowerCAmelCase							,     lowerCAmelCase = None							,     lowerCAmelCase = False      )						->				List[int]:
        '''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]
        _lowercase			 =[1] + ([0] * len(lowerCAmelCase      )) + [1]
        if token_ids_a is not None:
              mask += [0] * len(lowerCAmelCase      ) + [1]
        return mask




  def 						A__  (       self							,     lowerCAmelCase							,     lowerCAmelCase      )						->				Any:
        '''simple docstring'''






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




  @property
  def 						A__  (       self      )						->				int:
        '''simple docstring'''






        return self.get_vocab_size(with_added_tokens=lowerCAmelCase      )




  def 						A__  (       self							,     lowerCAmelCase							,     lowerCAmelCase = False      )						->				int:
        '''simple docstring'''






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





import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class 				__lowerCAmelCase  (      SCREAMING_SNAKE_CASE    ,    unittest.TestCase							):
  _a		    =						OpenAIGPTTokenizer
  _a		    =						OpenAIGPTTokenizerFast
  _a		    =						True
  _a		    =						False




  def 						A__  (       self      )						->				Tuple:
        '''simple docstring'''






        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        _lowercase			 =[
            'l',
            'o',
            'w',
            'e',
            'r',
            's',
            't',
            'i',
            'd',
            'n',
            'w</w>',
            'r</w>',
            't</w>',
            'lo',
            'low',
            'er</w>',
            'low</w>',
            'lowest</w>',
            'newer</w>',
            'wider</w>',
            '<unk>',
        ]
        _lowercase			 =dict(zip(lowerCAmelCase							,     range(len(lowerCAmelCase      )      )      )      )
        _lowercase			 =['#version: 0.2', 'l o', 'lo w', 'e r</w>', '']

        _lowercase			 =os.path.join(self.tmpdirname							,     VOCAB_FILES_NAMES['vocab_file']      )
        _lowercase			 =os.path.join(self.tmpdirname							,     VOCAB_FILES_NAMES['merges_file']      )
        with open(self.vocab_file							,     'w'      ) as fp:
              fp.write(json.dumps(lowerCAmelCase      )      )
        with open(self.merges_file							,     'w'      ) as fp:
              fp.write('\n'.join(lowerCAmelCase      )      )




  def 						A__  (       self							,     lowerCAmelCase      )						->				str:
        '''simple docstring'''






        return "lower newer", "lower newer"




  def 						A__  (       self      )						->				Tuple:
        '''simple docstring'''






        _lowercase			 =OpenAIGPTTokenizer(self.vocab_file							,     self.merges_file      )

        _lowercase			 ='lower'
        _lowercase			 =['low', 'er</w>']
        _lowercase			 =tokenizer.tokenize(lowerCAmelCase      )
        self.assertListEqual(lowerCAmelCase							,     lowerCAmelCase      )

        _lowercase			 =tokens + ['<unk>']
        _lowercase			 =[14, 15, 20]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase      )							,     lowerCAmelCase      )




  def 						A__  (       self							,     lowerCAmelCase=15      )						->				Union[str, Any]:
        '''simple docstring'''






        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''      ):
                    _lowercase			 =self.rust_tokenizer_class.from_pretrained(lowerCAmelCase							,     **lowerCAmelCase      )

                    # Simple input
                    _lowercase			 ='This is a simple input'
                    _lowercase			 =['This is a simple input 1', 'This is a simple input 2']
                    _lowercase			 =('This is a simple input', 'This is a pair')
                    _lowercase			 =[
                        ('This is a simple input 1', 'This is a simple input 2'),
                        ('This is a simple pair 1', 'This is a simple pair 2'),
                    ]

                    # Simple input tests
                    self.assertRaises(lowerCAmelCase							,     tokenizer_r.encode							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'      )

                    # Simple input
                    self.assertRaises(lowerCAmelCase							,     tokenizer_r.encode_plus							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'      )

                    # Simple input
                    self.assertRaises(
                        lowerCAmelCase							,     tokenizer_r.batch_encode_plus							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'							,     )

                    # Pair input
                    self.assertRaises(lowerCAmelCase							,     tokenizer_r.encode							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'      )

                    # Pair input
                    self.assertRaises(lowerCAmelCase							,     tokenizer_r.encode_plus							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'      )

                    # Pair input
                    self.assertRaises(
                        lowerCAmelCase							,     tokenizer_r.batch_encode_plus							,     lowerCAmelCase							,     max_length=lowerCAmelCase							,     padding='max_length'							,     )




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






        pass





@require_ftfy
@require_spacy
@require_tokenizers
class 				__lowerCAmelCase  (      SCREAMING_SNAKE_CASE							):
  pass


