ljz
7611f13208
相较上一版 Jacobian 确定性复用更新，本次补齐事件边界一致性、结果两侧采样及接触事件定位；保留已有物性复用和组件力学公式。 - 统一 UD00 信号求值与下一事件查询的绝对时间边界，修复循环边界浮点舍入导致的阶段错位、重复或漏报，并覆盖零时长、多阶段及长周期场景。 - 引入原生输出语义 v2：保留规则网格真实时间，补充内部时间事件和状态事件的左邻及事件后采样，按保存时间、状态和离散模式重放结果。 - 两条代码生成路径均发出 LSTP 接触描述，默认定位间隙过零及非负力模式的力截断；仅在接受事件时更新防重复记录，增加 contactEvents 诊断计数。 - 补充 MASS/LSTP 独立事件实验、八路全曲线与驱动阶段配对评估，以及 Amesim 不连续点输出对照和力差定位报告；MASS 新增释放机制仍保留为独立实验。 - 保存局部 probe、context 访问与回退、shadow replay、R288 real skip/typed replay 及阀门数值尾部诊断工具和报告；未证明净收益的实验不启用为生产默认优化。 - 更新原生运行说明和元件建模规范，补充信号边界、输出语义、接触事件和实验依赖回归测试。 验证：五组专项回归共 34 项全部通过；37 个待提交 Python 文件语法检查通过；git diff --cached --check 通过。
64 lines
4.0 KiB
Python
64 lines
4.0 KiB
Python
"""Summarize accuracy, contact phases and repeated cost for isolated variants."""
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import argparse
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import json
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from pathlib import Path
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import statistics
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import numpy as np
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def read(path):return json.loads(path.read_bytes())
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def main():
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parser=argparse.ArgumentParser(description=__doc__)
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parser.add_argument('directory',type=Path)
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args=parser.parse_args();out=args.directory
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runs=read(out/'summary.json');rows=[];branches=[];groups=[]
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for profile,variants in runs.items():
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baseline=variants['off']
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base_force=baseline['groups']['force']['worstAbsolute']['maxAbsoluteError']
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base_time=baseline['timing']['medianSeconds']
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base_curves=np.load(out/profile/'off/curves.npz')
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for mode,r in variants.items():
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data=np.load(out/profile/mode/'curves.npz')
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contacts=[]
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for key in data.files:
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if key.startswith('platform|') and key.endswith('.gap'):
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expected='amesim|'+key.split('|',1)[1]
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mismatch=data['phaseMatched'] & ((data[key]<0)!=(data[expected]<0))
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contacts.extend(dict(key=key.split('|',1)[1],time=float(data['time'][i])) for i in np.flatnonzero(mismatch))
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equal=all(np.array_equal(data[k],base_curves[k],equal_nan=True)
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for k in data.files if k.startswith('platform|'))
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worst=r['groups']['force']['worstAbsolute'];timing=r['timing'];native=r['nativeRun']
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report=read(out/profile/mode/'comparison.json')
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branches.extend(dict(profile=profile,mode=mode,**c) for c in report['curves'] if c['quantity']=='force')
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groups.extend(dict(profile=profile,mode=mode,quantity=q,**g) for q,g in r['groups'].items())
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counter_keys=('nfev','acceptedSteps','rejectedSteps','solverStarts','stateTransitions','njev','nlu','experimentalEvents')
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counters=[{k:t.get(k) for k in counter_keys} for t in timing['runs']]
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row=dict(profile=profile,mode=mode,medianSolveSeconds=timing['medianSeconds'],
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minimumSolveSeconds=timing['minimumSeconds'],maximumSolveSeconds=timing['maximumSeconds'],
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timingRepeats=timing['repeats'],repeatCountersStable=all(c==counters[0] for c in counters),
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medianCpuSeconds=statistics.median(t['solveCpuSeconds'] for t in timing['runs']),
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solveChangePercent=100*(timing['medianSeconds']/base_time-1),
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forceMaxError=worst['maxAbsoluteError'],forceWorstTime=worst['worstTime'],forceWorstKey=worst['key'],
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forceErrorChangePercent=100*(worst['maxAbsoluteError']/base_force-1),
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forceQuietMax=max(c['quietMaxAbsolute'] for c in report['curves'] if c['quantity']=='force'),
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pressureMaxError=r['groups']['pressure']['worstAbsolute']['maxAbsoluteError'],
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temperatureMaxError=r['groups']['temperature']['worstAbsolute']['maxAbsoluteError'],
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above5PercentCount=r['above5PercentCount'],phaseUnpairedCount=r['phaseUnpairedGridCount'],
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contactPhaseMismatches=contacts,gridTrajectoryEqualsOff=equal,
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rawPeakContactForce=r['extraEventPointMaxContactForce'],
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acceptedSteps=native['acceptedSteps'],rejectedSteps=native['rejectedSteps'],
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nfev=native['nfev'],solverStarts=native['solverStarts'],njev=native['njev'],nlu=native['nlu'],
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stateTransitions=native['stateTransitions'],
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experimentalEvents=native.get('experimentalEvents',{}),jacobianMode=native['jacobianMode'])
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rows.append(row)
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print(json.dumps(row,ensure_ascii=False))
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(out/'effect-summary.json').write_text(json.dumps(rows,ensure_ascii=False,indent=2)+'\n',encoding='utf-8')
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(out/'branch-force-summary.json').write_text(json.dumps(branches,ensure_ascii=False,indent=2)+'\n',encoding='utf-8')
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(out/'group-summary.json').write_text(json.dumps(groups,ensure_ascii=False,indent=2)+'\n',encoding='utf-8')
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if __name__=='__main__':main()
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