结果输入问题
题目中，规定要求结果的输出格式为：data:image/png;base64,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请问 是否能在论文里 将其改成n行2列的表格 即每一行 第一个单元格为流水线级数，第二个单元格把所有该级的基本块编号放在一起
此外，是否需要提供最终结果的输出文件以供审阅，如果需要的话，是否有格式要求（csv or txt?等）
建议输入结果不要把所有基本块放一个单元格，输出格式为csv
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