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@@ -84,7 +84,8 @@ def cal_score(df):
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video_ids = [int(video_id) for video_id in df['videoid']]
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filtered_result = filter_video_status(video_ids=video_ids)
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filter_videos = set(video_ids) - set(filtered_result)
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- filter_df = df[int(df['videoid'].values).isin(filter_videos)]
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+ df['videoid'] = df['videoid'].astype(int)
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+ filter_df = df[df['videoid'].isin(filter_videos)]
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df = df.append(filter_df)
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df = df.drop_duplicates(['videoid'], keep=False)
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log_.info(f'filtered_df count = {len(df)}')
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