32 lines
1.2 KiB
JSON
32 lines
1.2 KiB
JSON
{
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"eval_id": 1,
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"eval_name": "eval-fft-sim-output",
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"prompt": "帮我分析这个仿真输出文件的IQ频谱：output_iq.txt。采样率245.76MHz，24位，I=m_i_dec，Q=m_q_dec，skip 50，xlim -70,70",
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"assertions": [
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{
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"text": "Script fft_analyse.py is invoked via the full Python path",
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"passed": true,
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"evidence": "D:/ProgramData/anaconda3/python.exe .../fft_analyse.py called successfully"
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},
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{
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"text": "Output PNG file is produced in the specified output directory",
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"passed": true,
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"evidence": "output_iq_v2_20260508_171447_analysis.png created in with_skill/outputs"
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},
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{
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"text": "Summary TXT is produced and contains OBW value",
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"passed": true,
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"evidence": "_summary.txt produced; 99% OBW = 7.9200 MHz"
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},
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{
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"text": "Correct CLI flags: --fs 245.76e6, --bits 24, --i-col m_i_dec, --q-col m_q_dec, --skip 50, --xlim -70,70",
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"passed": true,
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"evidence": "All flags used; --xlim negative-number fix applied"
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},
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{
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"text": "Agent reports 99% OBW value to user",
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"passed": true,
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"evidence": "[fft_analyse] FFT size: 8192 90% OBW: 7.1400 MHz 99% OBW: 7.9200 MHz"
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}
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]
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} |