Fix issues with flake8

Author: alonsosilvaallende

logits_processor_zoo/vllm/generation_length.py

@@ -49,7 +49,8 @@ def __init__(self, tokenizer: PreTrainedTokenizer, boost_factor: float,
         self.tokenizer = tokenizer
 
     def clone(self):
-        return GenLengthLogitsProcessor(self.tokenizer, self.boost_factor, self.p, self.complete_sentences, self.boost_token_str)
+        return GenLengthLogitsProcessor(self.tokenizer, self.boost_factor, self.p,
+                                        self.complete_sentences, self.boost_token_str)
 
     def __call__(self, prompt_tokens_ids: List[int], past_token_ids: List[int], scores: torch.Tensor) -> torch.Tensor:
         gen_length = len(past_token_ids)

logits_processor_zoo/vllm/multiple_choice.py

@@ -45,7 +45,7 @@ def __init__(self, tokenizer: PreTrainedTokenizer, choices: List[str] = None,
                  delimiter: str = ".", boost_first_words: float = 0.0):
         self.tokenizer = tokenizer
         self.choices = choices
-        self.delimeter = delimeter
+        self.delimiter = delimiter
         if choices is None:
             choices = ["1", "2", "3", "4"]
 

logits_processor_zoo/vllm/trigger_phrase.py

@@ -47,7 +47,8 @@ def __init__(self, phrase: str, trigger_token_phrase: str, tokenizer: PreTrained
         self._reset()
 
     def clone(self):
-        return TriggerPhraseLogitsProcessor(self.phrase, self.trigger_token_phrase, self.tokenizer, self.trigger_count, self.trigger_after)
+        return TriggerPhraseLogitsProcessor(self.phrase, self.trigger_token_phrase, self.tokenizer,
+                                            self.trigger_count, self.trigger_after)
 
     def _reset(self):
         self.index = -1