selimaj-devandclaude
df9a2587e6
tools/capture drives a store page's skin viewer in headless Firefox, stepping its clock one tick at a time and taking every tick from ten fixed cameras. It then fits our own rig to the frames by rendering the model (a Python port of LimbBend and PoseApplier) and matching outlines and colours, and writes the result as Emotecraft JSON. It measures pixels only and never reads the page's animation data. The README covers the steps, the checks and the limits. Co-Authored-By: Claude Opus 5.5 <[email protected]>
28 lines
1.2 KiB
Python
28 lines
1.2 KiB
Python
"""Compares model.LimbBend with the Java LimbBend, point for point.
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.venv/bin/python check_port.py ../../core/build/classes/java/main # after ./gradlew :core:compileJava
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Runs CheckPort.java against the compiled core classes and fails if any result differs by 1e-3 or more.
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"""
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import subprocess
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import sys
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import numpy as np
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from model import LimbBend
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CASES = [(-2, 10, 0.5, 0, 0), (-2, 10, 1.75, 3.5, 0), (0, 12, 1.2, 2.79, 0), (0, 12, 0.7, 3.14159, 1), (0, 12, -0.9, 1.0, 1)]
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POINTS = np.array([[0, 0, 0], [1.5, 3, -2.25], [-2.25, 10.25, 2.25], [2, -2.25, 1], [0.5, 12.25, -1]])
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classes = sys.argv[1]
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java = subprocess.run(["java", "-cp", classes, "CheckPort.java"], capture_output=True, text=True, check=True).stdout
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expected = np.array([[float(v) for v in line.split()] for line in java.strip().splitlines()])
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got = []
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for start, end, angle, axis, anchored in CASES:
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b = LimbBend(start, end, angle, axis, anchored_at_end=bool(anchored))
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bent = b.bend_points(POINTS)
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got += [[*bent[i], b.angle_at(POINTS[i, 1])] for i in range(len(POINTS))]
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err = np.abs(np.array(got) - expected).max()
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print(f"max difference from Java: {err:.2e}")
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sys.exit(0 if err < 1e-3 else 1)
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