code: 
  
  
  """simple docstring"""
  
  
  
  
  from typing import Dict, List, Optional, Tuple
  
  from ...tokenization_utils import AddedToken, PreTrainedTokenizer
  from ...utils import logging
  
  
  __magic_name__	:   int          =							logging.get_logger(__name__)
  
  
  
  
  class  __snake_case      (lowerCAmelCase_     ):
  							__a				   =					['input_ids', 'attention_mask']
  
  
  
  
  							def __init__(    self:						List[Any]    ,       A_:						List[Any]="[PAD]"    ,       A_:						str="[BOS]"    ,       A_:						Tuple="[EOS]"    ,       A_:						Tuple="[MASK]"    ,       A_:						Optional[int]="[CLS]"    ,       A_:						List[Any]="[SEP]"    ,       A_:						Dict=20_48    ,       **A_:						int    ,       ):
  										__lowerCamelCase        =			AddedToken(lowerCamelCase_    ,       lstrip=lowerCamelCase_    ,       rstrip=lowerCamelCase_      ) if isinstance(lowerCamelCase_    ,       lowerCamelCase_      ) else pad_token
  										__lowerCamelCase        =			AddedToken(lowerCamelCase_    ,       lstrip=lowerCamelCase_    ,       rstrip=lowerCamelCase_      ) if isinstance(lowerCamelCase_    ,       lowerCamelCase_      ) else bos_token
  										__lowerCamelCase        =			AddedToken(lowerCamelCase_    ,       lstrip=lowerCamelCase_    ,       rstrip=lowerCamelCase_      ) if isinstance(lowerCamelCase_    ,       lowerCamelCase_      ) else eos_token
  										__lowerCamelCase        =			AddedToken(lowerCamelCase_    ,       lstrip=lowerCamelCase_    ,       rstrip=lowerCamelCase_      ) if isinstance(lowerCamelCase_    ,       lowerCamelCase_      ) else mask_token
  										__lowerCamelCase        =			AddedToken(lowerCamelCase_    ,       lstrip=lowerCamelCase_    ,       rstrip=lowerCamelCase_      ) if isinstance(lowerCamelCase_    ,       lowerCamelCase_      ) else cls_token
  										__lowerCamelCase        =			AddedToken(lowerCamelCase_    ,       lstrip=lowerCamelCase_    ,       rstrip=lowerCamelCase_      ) if isinstance(lowerCamelCase_    ,       lowerCamelCase_      ) else sep_token
  
  										super().__init__(
  										    pad_token=lowerCamelCase_    ,       bos_token=lowerCamelCase_    ,       eos_token=lowerCamelCase_    ,       mask_token=lowerCamelCase_    ,       cls_token=lowerCamelCase_    ,       sep_token=lowerCamelCase_    ,       model_max_length=lowerCamelCase_    ,       **lowerCamelCase_    ,       )
  
  										__lowerCamelCase        =			2**8  # utf is 8 bits
  
  										# define special tokens dict
  										__lowerCamelCase        =			{
  										    self.pad_token: 0,
  										    self.bos_token: 1,
  										    self.eos_token: 2,
  										    self.mask_token: 3,
  										    self.cls_token: 4,
  										    self.sep_token: 5,
  										}
  										__lowerCamelCase        =			len(self.special_tokens_encoder      )
  										__lowerCamelCase        =			{v: k for k, v in self.special_tokens_encoder.items()}
  
  
  
  
  							def      __a      (    self:						Any      ):
  										__lowerCamelCase        =			self.special_tokens_encoder.copy()
  										vocab.update(self.added_tokens_encoder      )
  										for i in range(self._utf_vocab_size      ):
  													__lowerCamelCase        =			chr(lowerCamelCase_      )
  													__lowerCamelCase        =			i + len(self.special_tokens_encoder      )
  										return vocab
  
  
  
  
  							@property
  							def      __a      (    self:						Union[str, Any]      ):
  										return self._utf_vocab_size + self._num_special_tokens
  
  
  
  
  							def      __a      (    self:						Any    ,       A_:						Union[str, Any]    ,       A_:						Optional[int] = None    ,       A_:						List[str] = False      ):
  
  										if already_has_special_tokens:
  													return super().get_special_tokens_mask(
  													    token_ids_a=lowerCamelCase_    ,       token_ids_a=lowerCamelCase_    ,       already_has_special_tokens=lowerCamelCase_      )
  
  										# normal case: some special tokens
  										if token_ids_a is None:
  													return [1] + [0] * len(lowerCamelCase_      ) + [1]
  										return [1] + ([0] * len(lowerCamelCase_      )) + [1] + ([0] * len(lowerCamelCase_      )) + [1]
  
  
  
  
  							def      __a      (    self:						Dict    ,       A_:						Union[str, Any]    ,       A_:						Dict = None      ):
  
  										if token_ids_a is None:
  													return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
  										else:
  													return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]
  
  
  
  
  							def      __a      (    self:						str    ,       A_:						Optional[int]      ):
  										__lowerCamelCase        =			[chr(lowerCamelCase_      ) for i in text.encode("""utf-8"""      )]
  										return tokens
  
  
  
  
  							def      __a      (    self:						Any    ,       A_:						List[Any]      ):
  
  										if token in self.special_tokens_encoder:
  													__lowerCamelCase        =			self.special_tokens_encoder[token]
  										elif token in self.added_tokens_encoder:
  													__lowerCamelCase        =			self.added_tokens_encoder[token]
  										elif len(lowerCamelCase_      ) != 1:
  													__lowerCamelCase        =			self.unk_token_id
  										else:
  													__lowerCamelCase        =			ord(lowerCamelCase_      ) + self._num_special_tokens
  										return token_id
  
  
  
  
  							def      __a      (    self:						Dict    ,       A_:						List[str]      ):
  
  										if index in self.special_tokens_decoder:
  													__lowerCamelCase        =			self.special_tokens_decoder[index]
  										elif index in self.added_tokens_decoder:
  													__lowerCamelCase        =			self.added_tokens_decoder[index]
  										else:
  													__lowerCamelCase        =			chr(index - self._num_special_tokens      )
  										return token
  
  
  
  
  							def      __a      (    self:						List[Any]    ,       A_:						str      ):
  										__lowerCamelCase        =			b""""""
  										for token in tokens:
  													if token in self.special_tokens_decoder:
  																__lowerCamelCase        =			self.special_tokens_decoder[token].encode("""utf-8"""      )
  													elif token in self.added_tokens_decoder:
  																__lowerCamelCase        =			self.special_tokens_decoder[token].encode("""utf-8"""      )
  													elif token in self.special_tokens_encoder:
  																__lowerCamelCase        =			token.encode("""utf-8"""      )
  													elif token in self.added_tokens_encoder:
  																__lowerCamelCase        =			token.encode("""utf-8"""      )
  													else:
  																__lowerCamelCase        =			bytes([ord(lowerCamelCase_      )]      )
  													bstring += tok_string
  										__lowerCamelCase        =			bstring.decode("""utf-8"""    ,       errors="""replace"""      )
  										return string
  
  
  
  
  							def      __a      (    self:						Union[str, Any]    ,       A_:						str    ,       A_:						Union[str, Any] = None      ):
  										return ()
  
  
  
  
  
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  import argparse
  import logging
  import sys
  from unittest.mock import patch
  
  import run_glue_with_pabee
  
  from transformers.testing_utils import TestCasePlus
  
  
  logging.basicConfig(level=logging.DEBUG)
  
  __magic_name__	:   Optional[int]          =							logging.getLogger()
  
  
  
  
  
  def 			a_   (  ):
  			__lowerCamelCase        =			argparse.ArgumentParser()
  			parser.add_argument("""-f"""    )
  			__lowerCamelCase        =			parser.parse_args()
  			return args.f
  
  
  
  
  class  __snake_case      (lowerCamelCase     ):
  
  
  
  
  							def      __a      (    self:						Optional[int]      ):
  										__lowerCamelCase        =			logging.StreamHandler(sys.stdout      )
  										logger.addHandler(A_      )
  
  										__lowerCamelCase        =			self.get_auto_remove_tmp_dir()
  										__lowerCamelCase        =			f'\n            run_glue_with_pabee.py\n            --model_type albert\n            --model_name_or_path albert-base-v2\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            --task_name mrpc\n            --do_train\n            --do_eval\n            --per_gpu_train_batch_size=2\n            --per_gpu_eval_batch_size=1\n            --learning_rate=2e-5\n            --max_steps=50\n            --warmup_steps=2\n            --seed=42\n            --max_seq_length=128\n            '.split()
  
  										with patch.object(A_    ,       """argv"""    ,       A_      ):
  													__lowerCamelCase        =			run_glue_with_pabee.main()
  													for value in result.values():
  																self.assertGreaterEqual(A_    ,       0.75      )
  
  
  
  
  