mirror of
https://github.com/deepseek-ai/deepseek-harness.git
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creatixchu
30704dc1df
Master dimensions move from a 2048 long-edge rule to a total-pixel budget (normalizedImageMaxPixels, default 2048x2048) with an 8192 long-edge cap, so extreme aspect ratios keep short-edge resolution. The shared quality ladder and lazy execution move to encoding.ts, review-round doc fixes land across attachment and llm packages, and the superseded facts in the unified-image-pipeline note now describe the shipped routing.
39 lines
1.4 KiB
TypeScript
39 lines
1.4 KiB
TypeScript
import sharp from 'sharp'
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import { afterEach, describe, expect, it, vi } from 'vitest'
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const control = vi.hoisted(() => ({ mismatch: false }))
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vi.mock('../src/image.ts', async (importOriginal) => {
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const actual = await importOriginal<typeof import('../src/image.ts')>()
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return {
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...actual,
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async detectImage(data: Uint8Array): Promise<Awaited<ReturnType<typeof actual.detectImage>>> {
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const detected = await actual.detectImage(data)
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return control.mismatch ? { ...detected, width: detected.width + 1 } : detected
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},
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}
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})
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import { normalizeImage } from '../src/normalization.ts'
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import { detectImage } from '../src/image.ts'
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afterEach(() => {
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control.mismatch = false
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})
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describe('normalization verification', () => {
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it('rejects a normalized output whose decoded facts disagree with the encoder result', async () => {
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const data = new Uint8Array(await sharp({
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create: { width: 10, height: 6, channels: 3, background: { r: 12, g: 200, b: 64 } },
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}).png().toBuffer())
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const detected = await detectImage(data)
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control.mismatch = true
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await expect(normalizeImage(data, detected, { maxPixels: 2048 * 2048, maxDimension: 5, maxBytes: 4 * 1024 * 1024 }))
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.rejects.toMatchObject({
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code: 'ATTACHMENT_WRITE_FAILED',
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message: 'Image normalization did not produce a single-frame 8-bit sRGB image with matching metadata.',
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})
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})
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})
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