code: 
  
  
  
  
  
  
  from typing import Dict, List, Optional, Tuple
  
  from ...tokenization_utils import AddedToken, PreTrainedTokenizer
  from ...utils import logging
  
  
  __snake_case							      =						logging.get_logger(__name__)
  
  
  
  
  
  
  
  class     UpperCAmelCase_		(      lowercase				):
  
  
  
  						"""simple docstring"""
  						UpperCamelCase_       :      List[Any]     =['input_ids', 'attention_mask']
  						def __init__(       self					,       SCREAMING_SNAKE_CASE_="[PAD]"					,       SCREAMING_SNAKE_CASE_="[BOS]"					,       SCREAMING_SNAKE_CASE_="[EOS]"					,       SCREAMING_SNAKE_CASE_="[MASK]"					,       SCREAMING_SNAKE_CASE_="[CLS]"					,       SCREAMING_SNAKE_CASE_="[SEP]"					,       SCREAMING_SNAKE_CASE_=2048					,       **SCREAMING_SNAKE_CASE_					,       )       ->   None:
  										UpperCamelCase :Tuple										=     AddedToken(SCREAMING_SNAKE_CASE_					,       lstrip=SCREAMING_SNAKE_CASE_					,       rstrip=SCREAMING_SNAKE_CASE_				) if isinstance(SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_				) else pad_token
  										UpperCamelCase :int										=     AddedToken(SCREAMING_SNAKE_CASE_					,       lstrip=SCREAMING_SNAKE_CASE_					,       rstrip=SCREAMING_SNAKE_CASE_				) if isinstance(SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_				) else bos_token
  										UpperCamelCase :Any										=     AddedToken(SCREAMING_SNAKE_CASE_					,       lstrip=SCREAMING_SNAKE_CASE_					,       rstrip=SCREAMING_SNAKE_CASE_				) if isinstance(SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_				) else eos_token
  										UpperCamelCase :int										=     AddedToken(SCREAMING_SNAKE_CASE_					,       lstrip=SCREAMING_SNAKE_CASE_					,       rstrip=SCREAMING_SNAKE_CASE_				) if isinstance(SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_				) else mask_token
  										UpperCamelCase :Optional[int]										=     AddedToken(SCREAMING_SNAKE_CASE_					,       lstrip=SCREAMING_SNAKE_CASE_					,       rstrip=SCREAMING_SNAKE_CASE_				) if isinstance(SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_				) else cls_token
  										UpperCamelCase :Any										=     AddedToken(SCREAMING_SNAKE_CASE_					,       lstrip=SCREAMING_SNAKE_CASE_					,       rstrip=SCREAMING_SNAKE_CASE_				) if isinstance(SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_				) else sep_token
  
  										super().__init__(
  										    pad_token=SCREAMING_SNAKE_CASE_					,       bos_token=SCREAMING_SNAKE_CASE_					,       eos_token=SCREAMING_SNAKE_CASE_					,       mask_token=SCREAMING_SNAKE_CASE_					,       cls_token=SCREAMING_SNAKE_CASE_					,       sep_token=SCREAMING_SNAKE_CASE_					,       model_max_length=SCREAMING_SNAKE_CASE_					,       **SCREAMING_SNAKE_CASE_					,       )
  
  										UpperCamelCase :List[str]										=     2**8  # utf is 8 bits
  
  										# define special tokens dict
  										UpperCamelCase :Dict[str, int]										=     {
  										    self.pad_token: 0,
  										    self.bos_token: 1,
  										    self.eos_token: 2,
  										    self.mask_token: 3,
  										    self.cls_token: 4,
  										    self.sep_token: 5,
  										}
  										UpperCamelCase :Union[str, Any]										=     len(self.special_tokens_encoder				)
  										UpperCamelCase :Dict[int, str]										=     {v: k for k, v in self.special_tokens_encoder.items()}
  						def 					UpperCAmelCase		(       self				)       ->   Dict[str, int]:
  										UpperCamelCase :Dict										=     self.special_tokens_encoder.copy()
  										vocab.update(self.added_tokens_encoder				)
  										for i in range(self._utf_vocab_size				):
  														UpperCamelCase :int										=     chr(SCREAMING_SNAKE_CASE_				)
  														UpperCamelCase :int										=     i + len(self.special_tokens_encoder				)
  										return vocab
  						@property
  						def 					UpperCAmelCase		(       self				)       ->   Any:
  										return self._utf_vocab_size + self._num_special_tokens
  						def 					UpperCAmelCase		(       self					,       SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_ = None					,       SCREAMING_SNAKE_CASE_ = False				)       ->   List[int]:
  										if already_has_special_tokens:
  														return super().get_special_tokens_mask(
  														    token_ids_a=SCREAMING_SNAKE_CASE_					,       token_ids_a=SCREAMING_SNAKE_CASE_					,       already_has_special_tokens=SCREAMING_SNAKE_CASE_				)
  
  										# normal case: some special tokens
  										if token_ids_a is None:
  														return [1] + [0] * len(SCREAMING_SNAKE_CASE_				) + [1]
  										return [1] + ([0] * len(SCREAMING_SNAKE_CASE_				)) + [1] + ([0] * len(SCREAMING_SNAKE_CASE_				)) + [1]
  						def 					UpperCAmelCase		(       self					,       SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_ = None				)       ->   List[int]:
  										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 					UpperCAmelCase		(       self					,       SCREAMING_SNAKE_CASE_				)       ->   List[str]:
  										UpperCamelCase :str										=     [chr(SCREAMING_SNAKE_CASE_				) for i in text.encode('''utf-8'''				)]
  										return tokens
  						def 					UpperCAmelCase		(       self					,       SCREAMING_SNAKE_CASE_				)       ->   Optional[int]:
  										if token in self.special_tokens_encoder:
  														UpperCamelCase :Optional[int]										=     self.special_tokens_encoder[token]
  										elif token in self.added_tokens_encoder:
  														UpperCamelCase :Any										=     self.added_tokens_encoder[token]
  										elif len(SCREAMING_SNAKE_CASE_				) != 1:
  														UpperCamelCase :Dict										=     self.unk_token_id
  										else:
  														UpperCamelCase :Optional[int]										=     ord(SCREAMING_SNAKE_CASE_				) + self._num_special_tokens
  										return token_id
  						def 					UpperCAmelCase		(       self					,       SCREAMING_SNAKE_CASE_				)       ->   List[str]:
  										if index in self.special_tokens_decoder:
  														UpperCamelCase :Dict										=     self.special_tokens_decoder[index]
  										elif index in self.added_tokens_decoder:
  														UpperCamelCase :List[Any]										=     self.added_tokens_decoder[index]
  										else:
  														UpperCamelCase :int										=     chr(index - self._num_special_tokens				)
  										return token
  						def 					UpperCAmelCase		(       self					,       SCREAMING_SNAKE_CASE_				)       ->   int:
  										UpperCamelCase :int										=     b''''''
  										for token in tokens:
  														if token in self.special_tokens_decoder:
  																		UpperCamelCase :Tuple										=     self.special_tokens_decoder[token].encode('''utf-8'''				)
  														elif token in self.added_tokens_decoder:
  																		UpperCamelCase :Any										=     self.special_tokens_decoder[token].encode('''utf-8'''				)
  														elif token in self.special_tokens_encoder:
  																		UpperCamelCase :int										=     token.encode('''utf-8'''				)
  														elif token in self.added_tokens_encoder:
  																		UpperCamelCase :Union[str, Any]										=     token.encode('''utf-8'''				)
  														else:
  																		UpperCamelCase :Optional[int]										=     bytes([ord(SCREAMING_SNAKE_CASE_				)]				)
  														bstring += tok_string
  										UpperCamelCase :Optional[Any]										=     bstring.decode('''utf-8'''					,       errors='''replace'''				)
  										return string
  
  
  
  
  						def 					UpperCAmelCase		(       self					,       SCREAMING_SNAKE_CASE_					,       SCREAMING_SNAKE_CASE_ = None				)       ->   Tuple[str]:
  										return ()
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  
  # as due to their complexity multi-gpu tests could impact other tests, and to aid debug we have those in a separate module.
  
  import os
  import sys
  
  from transformers.testing_utils import TestCasePlus, execute_subprocess_async, get_gpu_count, require_torch_gpu, slow
  
  from .utils import load_json
  
  
  
  
  
  
  
  class     UpperCAmelCase_		(      lowercase				):
  
  
  
        """simple docstring"""
        @classmethod
        def 					UpperCAmelCase		(       cls				)       ->   List[Any]:
            return cls
  
  
  
  
        @slow
        @require_torch_gpu
        def 					UpperCAmelCase		(       self				)       ->   int:
            UpperCamelCase :int										=     self.get_auto_remove_tmp_dir()
            UpperCamelCase :List[str]										=     F'''
              --model_name Helsinki-NLP/opus-mt-en-ro
              --save_dir {output_dir}
              --data_dir {self.test_file_dir_str}/test_data/wmt_en_ro
              --num_beams 2
              --task translation
          '''.split()
  
            # we want this test to run even if there is only one GPU, but if there are more we use them all
            UpperCamelCase :List[str]										=     get_gpu_count()
            UpperCamelCase :Optional[Any]										=     F'''
              -m torch.distributed.launch
              --nproc_per_node={n_gpu}
              {self.test_file_dir}/run_distributed_eval.py
          '''.split()
            UpperCamelCase :List[Any]										=     [sys.executable] + distributed_args + args
            execute_subprocess_async(SCREAMING_SNAKE_CASE_					,       env=self.get_env()				)
  
            UpperCamelCase :Tuple										=     os.path.join(SCREAMING_SNAKE_CASE_					,       '''test_bleu.json'''				)
            UpperCamelCase :str										=     load_json(SCREAMING_SNAKE_CASE_				)
            # print(metrics)
            self.assertGreaterEqual(metrics['''bleu''']					,       25				)
  
  
  
  
  
  