Zekun Wu commited on
Commit
967859c
1 Parent(s): 40760a4
Files changed (1) hide show
  1. util/injection.py +0 -4
util/injection.py CHANGED
@@ -71,7 +71,6 @@ def process_scores_multiple(df, num_run, parameters, privilege_label, protect_la
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  print(f"Processing {len(df)} entries with {num_run} runs each.")
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  """ Process entries and compute scores concurrently, with progress updates. """
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  scores = {key: [[] for _ in range(len(df))] for key in ['Privilege','Protect','Neutral']}
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- prompt_list = []
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  for run in tqdm(range(num_run), desc="Processing runs", unit="run"):
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  for index, (idx, row) in tqdm(enumerate(df.iterrows()), total=len(df), desc="Processing entries", unit="entry"):
@@ -85,7 +84,6 @@ def process_scores_multiple(df, num_run, parameters, privilege_label, protect_la
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  print("=============================================================")
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  result_normal = invoke_retry(prompt_normal, agent, parameters)
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  scores[key][index].append(result_normal)
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- prompt_list.append(prompt_normal)
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  print(f"Scores: {scores}")
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@@ -109,6 +107,4 @@ def process_scores_multiple(df, num_run, parameters, privilege_label, protect_la
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  df['Protect_Rank'] = ranks['Protect_Avg_Score']
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  df['Neutral_Rank'] = ranks['Neutral_Avg_Score']
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- df['prompt'] = prompt_list
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-
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  return df
 
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  print(f"Processing {len(df)} entries with {num_run} runs each.")
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  """ Process entries and compute scores concurrently, with progress updates. """
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  scores = {key: [[] for _ in range(len(df))] for key in ['Privilege','Protect','Neutral']}
 
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  for run in tqdm(range(num_run), desc="Processing runs", unit="run"):
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  for index, (idx, row) in tqdm(enumerate(df.iterrows()), total=len(df), desc="Processing entries", unit="entry"):
 
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  print("=============================================================")
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  result_normal = invoke_retry(prompt_normal, agent, parameters)
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  scores[key][index].append(result_normal)
 
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  print(f"Scores: {scores}")
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  df['Protect_Rank'] = ranks['Protect_Avg_Score']
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  df['Neutral_Rank'] = ranks['Neutral_Avg_Score']
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  return df