Expand browser editor runtime and LED simulation workflows.
Add Docker deployment support, richer Selenium/LED pattern tests, in-browser diagnostics, responsive UI improvements, and 16x16 panel simulation tooling to speed iteration and hardware-style prototyping. Made-with: Cursor
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67
workspace/code/led_patterns.py
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67
workspace/code/led_patterns.py
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"""LED pattern helpers inspired by embedded NeoPixel drivers."""
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from __future__ import annotations
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import random
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Color = tuple[int, int, int]
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def _clamp(channel: int) -> int:
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return max(0, min(255, int(channel)))
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def wheel(pos: int) -> Color:
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"""Return a rainbow color for position 0-255."""
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pos = 255 - (pos & 255)
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if pos < 85:
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return (_clamp(255 - pos * 3), 0, _clamp(pos * 3))
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if pos < 170:
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pos -= 85
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return (0, _clamp(pos * 3), _clamp(255 - pos * 3))
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pos -= 170
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return (_clamp(pos * 3), _clamp(255 - pos * 3), 0)
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def rainbow_frame(led_count: int, frame: int, step: int = 4) -> list[Color]:
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"""Generate one rainbow frame across all LEDs."""
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if led_count <= 0:
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return []
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return [wheel((i * 256 // led_count + frame * step) & 255) for i in range(led_count)]
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def chase_frame(
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led_count: int,
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frame: int,
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color: Color = (255, 120, 0),
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tail: Color = (16, 0, 0),
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) -> list[Color]:
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"""Generate a two-pixel chase pattern."""
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if led_count <= 0:
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return []
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out: list[Color] = [(0, 0, 0) for _ in range(led_count)]
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head = frame % led_count
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trail = (head - 1) % led_count
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out[trail] = tuple(_clamp(v) for v in tail) # type: ignore[assignment]
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out[head] = tuple(_clamp(v) for v in color) # type: ignore[assignment]
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return out
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def twinkle_frame(
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led_count: int,
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frame: int,
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base: Color = (0, 0, 8),
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sparkle: Color = (255, 255, 180),
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sparkles: int = 3,
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seed: int = 1337,
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) -> list[Color]:
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"""Generate deterministic twinkle frames for testing/replay."""
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if led_count <= 0:
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return []
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out: list[Color] = [tuple(_clamp(v) for v in base) for _ in range(led_count)] # type: ignore[list-item]
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rng = random.Random(seed + frame)
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for _ in range(min(max(0, sparkles), led_count)):
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idx = rng.randrange(led_count)
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out[idx] = tuple(_clamp(v) for v in sparkle) # type: ignore[assignment]
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return out
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