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HayatoGandClaude Opus 5.5
b077802041
- README.md: pt_BR overview with 'English below', then the English version: screenshots, status, nightly download, requirements, how to play, build - docs/TECNICO.md: the technical notes that used to be the README - docs/screenshots: four in-game captures (native 1080p) and a session chart made by scripts/session_chart.py from a port log Co-Authored-By: Claude Opus 5.5 <[email protected]> Claude-Session: https://claude.ai/code/session_01JyWhQUvUQf2YSf8HJWnAtd
53 lines
2.7 KiB
Python
53 lines
2.7 KiB
Python
#!/usr/bin/env python3
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"""Desempenho de uma sessão a partir de um log do port (TLG_FRAME_STATS=1, uma amostra a cada 5 s):
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FPS, pior quadro e draws por quadro ao longo do tempo. Uso: session_chart.py <log> <saída.png>"""
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import re
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import statistics
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import sys
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import matplotlib
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matplotlib.use('Agg')
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import matplotlib.pyplot as plt
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STAT = re.compile(r'Frame stats: ([\d.]+) FPS, worst frame ([\d.]+) ms.*?(\d+) draws/frame')
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PACE = re.compile(r'Frame pacing: median ([\d.]+) ms, stddev ([\d.]+) ms, p99 ([\d.]+) ms')
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text = open(sys.argv[1], encoding='utf-8', errors='replace').read()
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stats = [tuple(map(float, m.groups())) for m in STAT.finditer(text)]
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pacing = [tuple(map(float, m.groups())) for m in PACE.finditer(text)]
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# The first samples cover boot and shader warm-up; the chart shows the whole session anyway.
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t = [i * 5 / 60 for i in range(len(stats))]
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fps = [s[0] for s in stats]
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worst = [s[1] for s in stats]
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draws = [s[2] for s in stats]
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ink, muted, accent, warn = '#1f2937', '#6b7280', '#2563eb', '#dc2626'
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plt.rcParams.update({'font.size': 11, 'axes.edgecolor': '#d1d5db', 'axes.labelcolor': ink,
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'xtick.color': muted, 'ytick.color': muted, 'axes.spines.top': False,
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'axes.spines.right': False})
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fig, (a, b, c) = plt.subplots(3, 1, figsize=(10, 6.4), sharex=True,
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gridspec_kw={'height_ratios': [1.1, 1, 0.8]})
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fig.patch.set_facecolor('white')
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a.plot(t, fps, color=accent, lw=1.8)
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a.axhline(30, color=muted, lw=0.8, ls='--')
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a.set_ylim(0, 36)
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a.set_ylabel('FPS')
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a.text(t[-1], 31.2, 'trava do jogo: 30 FPS', ha='right', color=muted, fontsize=9)
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b.plot(t, worst, color=warn, lw=1.4)
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b.axhline(33.3, color=muted, lw=0.8, ls='--')
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b.set_ylim(0, max(100, max(worst) * 1.1))
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b.set_ylabel('pior quadro (ms)')
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b.text(t[-1], 36, 'quadro ideal: 33,3 ms', ha='right', va='bottom', color=muted, fontsize=9)
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c.plot(t, draws, color='#059669', lw=1.4)
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c.set_ylabel('draws/quadro')
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c.set_xlabel('minutos de sessão')
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steady = [f for f in fps[6:]] or fps
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at30 = sum(1 for f in steady if f >= 29.5) / len(steady) * 100
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p99 = statistics.median(p[2] for p in pacing) if pacing else float('nan')
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fig.suptitle('The Last Guardian no PC — sessão de %.0f min (Linux, Vulkan, RTX 2060 6 GB)' % t[-1],
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x=0.07, ha='left', color=ink, fontsize=13, fontweight='bold')
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fig.text(0.07, 0.915, '%.0f%% das janelas de 5 s a 30 FPS · p99 do quadro %.1f ms · %d a %d draws por quadro'
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% (at30, p99, min(draws), max(draws)), color=muted, fontsize=10)
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fig.tight_layout(rect=(0, 0, 1, 0.92))
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fig.savefig(sys.argv[2], dpi=110)
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print(f'{len(stats)} amostras, {at30:.0f}% a 30 FPS, p99 {p99:.2f} ms, draws {min(draws):.0f}-{max(draws):.0f}')
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