Files
hyperframes/packages/cli/src/media-use/lib/error-diffusion.mjs
Miguel Ángel 3091dcb787 feat(cli): route media search through media-use (#4230)
* feat(cli): move media-use engine into the CLI

* fix(cli): replace media-use compatibility asset

* fix(cli): replace moved media-use tree

* fix(cli): copy moved media-use files cleanly

* fix(cli): copy media-use engine files individually

* fix(cli): keep audio helper compatibility import

* fix(cli): clear copied skill destinations

* test(cli): preserve moved media-use test paths

* fix(cli): preserve media-use script compatibility imports

* fix(cli): preserve media-use telemetry shim

* fix(cli): resolve packaged media-use LUT assets

* fix(cli): resolve packaged bundled SFX assets

* chore(skills): regenerate media-use manifest

* fix(cli): preserve media-use parity coverage

* fix(cli): cover relocated media-use tests

* chore(skills): regenerate media-use manifest

* fix(cli): format bundled media provider

* fix(ci): run relocated media-use tests with node

* fix(ci): preserve fallow script exemptions

* fix(ci): scope media-use fallow exemption

* refactor(cli): trim media-use essay comments

* feat(cli): index media-use assets for catalog search

* feat(catalog): commit media-use search vectors

* chore(catalog): track media vector metadata

* fix(catalog): validate media vector row order

* fix(catalog): validate media artifact freshness

* fix(catalog): cover media metadata and credits

* fix(cli): reject malformed media rows

* fix(catalog): compare complete media rows

* feat(cli): route media search through media-use

* refactor(cli): trim relocated media-use comments

* fix(cli): make media search runtime-safe

* fix(cli): preserve sfx fallback diagnostics

* fix(cli): probe sfx fallback provider explicitly

* chore(skills): regenerate manifest

* refactor(cli): keep typed media ranker source

* fix(cli): align media search checks with local-first flow

* fix(cli): scope vector audit exceptions

* fix(cli): ship resolver registry beside skill

* fix(cli): keep media-use skill scripts standalone

* test(cli): cover local vector validation

* test(cli): correct media vector fixtures

* fix(cli): prefer exact media keys

* fix(cli): stem exact media keys

* test(cli): skip media lint for snippets without media

* fix(cli): align skills test discovery

Keep the CI skills job's bash discovery as the single source of truth so its empty-list guard covers the exact files Node executes. Make hasMediaVectors private because it has no external callers and needs no Fallow suppression.

* fix(cli): close media-use review gaps

Prioritize literal ids before stemmed ids and cover the collision alongside the plural regression. Add command seam tests for engine discovery, actionable failure, and argv passthrough. Add a deterministic parity check for standalone media-use copies, with documented allowlists for the standalone media-fetch shim and self-contained npx resolver. Keep the bash-discovered skills test list as the CI source of truth.

* fix(cli): lower parity check complexity

Split missing-copy and unallowlisted-drift checks so the parity guard keeps its behavior without a threshold CRAP score.

* fix(cli): close media-use review seams

Run the parity test in the skills job so skills-only edits exercise the same check. Export the verb mapping and inject command dispatch for direct coverage. Keep missing-copy diagnostics separate from drift reads.
2026-09-21 18:35:47 -04:00

231 lines
6.5 KiB
JavaScript

export const ERROR_DIFFUSION_ALGORITHMS = {
"floyd-steinberg": {
kernel: [
[1, 0, 7],
[-1, 1, 3],
[0, 1, 5],
[1, 1, 1],
],
divisor: 16,
},
atkinson: {
kernel: [
[1, 0, 1],
[2, 0, 1],
[-1, 1, 1],
[0, 1, 1],
[1, 1, 1],
[0, 2, 1],
],
divisor: 8,
},
"jarvis-judice-ninke": {
kernel: [
[1, 0, 7],
[2, 0, 5],
[-2, 1, 3],
[-1, 1, 5],
[0, 1, 7],
[1, 1, 5],
[2, 1, 3],
[-2, 2, 1],
[-1, 2, 3],
[0, 2, 5],
[1, 2, 3],
[2, 2, 1],
],
divisor: 48,
},
stucki: {
kernel: [
[1, 0, 8],
[2, 0, 4],
[-2, 1, 2],
[-1, 1, 4],
[0, 1, 8],
[1, 1, 4],
[2, 1, 2],
[-2, 2, 1],
[-1, 2, 2],
[0, 2, 4],
[1, 2, 2],
[2, 2, 1],
],
divisor: 42,
},
burkes: {
kernel: [
[1, 0, 8],
[2, 0, 4],
[-2, 1, 2],
[-1, 1, 4],
[0, 1, 8],
[1, 1, 4],
[2, 1, 2],
],
divisor: 32,
},
sierra: {
kernel: [
[1, 0, 5],
[2, 0, 3],
[-2, 1, 2],
[-1, 1, 4],
[0, 1, 5],
[1, 1, 4],
[2, 1, 2],
[-1, 2, 2],
[0, 2, 3],
[1, 2, 2],
],
divisor: 32,
},
"sierra-lite": {
kernel: [
[1, 0, 2],
[-1, 1, 1],
[0, 1, 1],
],
divisor: 4,
},
"two-row-sierra": {
kernel: [
[1, 0, 4],
[2, 0, 3],
[-2, 1, 1],
[-1, 1, 2],
[0, 1, 3],
[1, 1, 2],
[2, 1, 1],
],
divisor: 16,
},
};
const DEFAULTS = {
algorithm: "floyd-steinberg",
brightness: 1,
contrast: 1.2,
detail: 1,
palette: ["#000000", "#ffffff"],
pointSize: 3,
};
export function errorDiffusionBufferLength(width, height, pointSize) {
return Math.ceil(width / pointSize) * Math.ceil(height / pointSize) * 3;
}
export function applyErrorDiffusionRgba(data, width, height, options = {}, errorBuffer) {
if (!Number.isInteger(width) || width < 1 || !Number.isInteger(height) || height < 1) {
throw new Error("width and height must be positive integers");
}
if (!data || data.length !== width * height * 4) {
throw new Error(`RGBA data must contain ${width * height * 4} bytes`);
}
const algorithm = options.algorithm ?? DEFAULTS.algorithm;
const diffusion = ERROR_DIFFUSION_ALGORITHMS[algorithm];
if (!diffusion) throw new Error(`unknown error-diffusion algorithm: ${algorithm}`);
const pointSize = integerInRange(options.pointSize ?? DEFAULTS.pointSize, 1, 20, "pointSize");
const brightness = numberInRange(options.brightness ?? DEFAULTS.brightness, 0.5, 2, "brightness");
const contrast = numberInRange(options.contrast ?? DEFAULTS.contrast, 0.5, 2, "contrast");
const detail = numberInRange(options.detail ?? DEFAULTS.detail, 0.1, 1, "detail");
const palette = parsePalette(options.palette ?? DEFAULTS.palette);
const blockColumns = Math.ceil(width / pointSize);
const blockRows = Math.ceil(height / pointSize);
const errorLength = errorDiffusionBufferLength(width, height, pointSize);
const errors = errorBuffer ?? new Float32Array(errorLength);
if (!(errors instanceof Float32Array) || errors.length !== errorLength) {
throw new Error(`errorBuffer must be a Float32Array of length ${errorLength}`);
}
errors.fill(0);
const centerOffset = Math.floor(pointSize / 2);
for (let blockRow = 0; blockRow < blockRows; blockRow++) {
const blockY = blockRow * pointSize;
for (let blockColumn = 0; blockColumn < blockColumns; blockColumn++) {
const blockX = blockColumn * pointSize;
const centerX = Math.min(blockX + centerOffset, width - 1);
const centerY = Math.min(blockY + centerOffset, height - 1);
const rgbaIndex = (centerY * width + centerX) * 4;
const errorIndex = (blockRow * blockColumns + blockColumn) * 3;
const red = correctedChannel(data[rgbaIndex], errors[errorIndex], brightness, contrast);
const green = correctedChannel(
data[rgbaIndex + 1],
errors[errorIndex + 1],
brightness,
contrast,
);
const blue = correctedChannel(
data[rgbaIndex + 2],
errors[errorIndex + 2],
brightness,
contrast,
);
const luminance = 0.299 * red + 0.587 * green + 0.114 * blue;
const output = palette[Math.min(palette.length - 1, Math.floor(luminance * palette.length))];
for (let y = blockY; y < Math.min(blockY + pointSize, height); y++) {
for (let x = blockX; x < Math.min(blockX + pointSize, width); x++) {
const outputIndex = (y * width + x) * 4;
data[outputIndex] = Math.round(output[0] * 255);
data[outputIndex + 1] = Math.round(output[1] * 255);
data[outputIndex + 2] = Math.round(output[2] * 255);
}
}
for (const [dx, dy, weight] of diffusion.kernel) {
const targetColumn = blockColumn + dx;
const targetRow = blockRow + dy;
if (
targetColumn < 0 ||
targetColumn >= blockColumns ||
targetRow < 0 ||
targetRow >= blockRows
) {
continue;
}
const target = (targetRow * blockColumns + targetColumn) * 3;
const scale = (weight / diffusion.divisor) * detail;
errors[target] += (red - output[0]) * scale;
errors[target + 1] += (green - output[1]) * scale;
errors[target + 2] += (blue - output[2]) * scale;
}
}
}
return data;
}
function correctedChannel(byte, error, brightness, contrast) {
return Math.min(1, Math.max(0, ((byte / 255 - 0.5) * contrast + 0.5) * brightness + error));
}
function parsePalette(colors) {
if (!Array.isArray(colors) || colors.length < 2 || colors.length > 6) {
throw new Error("palette must contain 2 to 6 colors");
}
return colors.map((color) => {
const match = /^#([0-9a-f]{6})$/i.exec(color);
if (!match) throw new Error(`palette color must use #rrggbb: ${color}`);
const value = Number.parseInt(match[1], 16);
return [(value >> 16) / 255, ((value >> 8) & 255) / 255, (value & 255) / 255];
});
}
function numberInRange(value, min, max, name) {
const number = Number(value);
if (!Number.isFinite(number) || number < min || number > max) {
throw new Error(`${name} must be between ${min} and ${max}`);
}
return number;
}
function integerInRange(value, min, max, name) {
const number = Number(value);
if (!Number.isInteger(number) || number < min || number > max) {
throw new Error(`${name} must be an integer between ${min} and ${max}`);
}
return number;
}