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fix(app): preserve tool card outlines
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parent
d0bce4f692
commit
ae27fedfb0
2 changed files with 141 additions and 48 deletions
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@ -1,5 +1,11 @@
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import { expect, test } from "@playwright/test"
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import { assistantMessage, setupTimeline, shell, userMessage } from "../performance/timeline-stability/fixture"
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import { expect, test, type Locator, type Page } from "@playwright/test"
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import {
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assistantMessage,
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setupTimeline,
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shell,
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toolPart,
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userMessage,
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} from "../performance/timeline-stability/fixture"
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for (const deviceScaleFactor of [1.25, 1.5]) {
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test(`keeps the shell outline inside a fractionally short virtual row at ${deviceScaleFactor}x`, async ({ page }) => {
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@ -43,54 +49,141 @@ for (const deviceScaleFactor of [1.25, 1.5]) {
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})
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expect(clipped).toBeCloseTo(0.49, 1)
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const box = await output.boundingBox()
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if (!box) throw new Error("Shell output bounds are unavailable")
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expect(await page.evaluate(() => devicePixelRatio)).toBe(deviceScaleFactor)
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const screenshot = await page.screenshot()
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const edges = await page.evaluate(
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async ({ source, size, viewport }) => {
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const image = new Image()
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image.src = source
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await image.decode()
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const canvas = document.createElement("canvas")
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canvas.width = image.naturalWidth
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canvas.height = image.naturalHeight
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const context = canvas.getContext("2d")
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if (!context) throw new Error("2D canvas is unavailable")
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context.drawImage(image, 0, 0)
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const scale = {
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x: image.naturalWidth / viewport.width,
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y: image.naturalHeight / viewport.height,
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}
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const pixels = context.getImageData(0, 0, image.naturalWidth, image.naturalHeight).data
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const rows = new Uint32Array(image.naturalHeight)
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const columns = new Uint32Array(image.naturalWidth)
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for (let index = 0; index < pixels.length; index += 4) {
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if (pixels[index]! <= 200 || pixels[index + 1]! >= 50 || pixels[index + 2]! <= 200) continue
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const pixel = index / 4
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const x = pixel % image.naturalWidth
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const y = Math.floor(pixel / image.naturalWidth)
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rows[y] = rows[y]! + 1
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columns[x] = columns[x]! + 1
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}
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return {
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horizontal: Array.from(rows).filter((count) => count > size.width * scale.x * 0.75).length,
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vertical: Array.from(columns).filter((count) => count > size.height * scale.y * 0.75).length,
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}
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},
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{
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source: `data:image/png;base64,${screenshot.toString("base64")}`,
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viewport: page.viewportSize()!,
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size: { width: box.width, height: box.height },
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},
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)
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const edges = await captureCardEdges(page, output)
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expect(box.width).toBeCloseTo(geometry.outputWidth, 2)
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expect(box.height).toBeCloseTo(geometry.outputHeight, 2)
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expect(edges.box.width).toBeCloseTo(geometry.outputWidth, 2)
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expect(edges.box.height).toBeCloseTo(geometry.outputHeight, 2)
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expect(geometry.borderColor).toBe("rgb(255, 0, 255)")
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expect(geometry.boxShadow).toBe("none")
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expect(geometry.clipMargin).toBe("0.5px")
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expect(edges.horizontal).toBeGreaterThanOrEqual(2)
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expect(edges.vertical).toBeGreaterThanOrEqual(2)
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expect(edges.magenta.top).toBeGreaterThan(0.75)
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expect(edges.magenta.bottom).toBeGreaterThan(0.75)
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expect(edges.magenta.vertical).toBeGreaterThanOrEqual(2)
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})
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}
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test("keeps the patch card inside a fractionally short virtual row", async ({ page }) => {
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const patchID = "prt_patch_outline"
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const file = {
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filePath: "src/outline.ts",
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relativePath: "src/outline.ts",
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type: "update",
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additions: 1,
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deletions: 1,
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before: "const outline = false\n",
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after: "const outline = true\n",
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}
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const timeline = await setupTimeline(page, {
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messages: [
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userMessage(),
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assistantMessage([
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toolPart(patchID, "apply_patch", "completed", { files: [file.filePath] }, { metadata: { files: [file] } }),
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]),
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],
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settings: { editToolPartsExpanded: true, newLayoutDesigns: true },
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reducedMotion: true,
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})
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const part = page.locator(`[data-timeline-part-id="${patchID}"]`)
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const card = part.locator('[data-component="accordion"][data-scope="apply-patch"]')
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const row = page.locator("[data-timeline-key]", { has: part })
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await expect(card).toBeVisible()
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await timeline.settle()
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const geometry = await row.evaluate((element) => {
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const card = element.querySelector<HTMLElement>('[data-component="accordion"][data-scope="apply-patch"]')
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if (!card) throw new Error("Patch card is unavailable")
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const rowRect = element.getBoundingClientRect()
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const cardRect = card.getBoundingClientRect()
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element.style.height = `${cardRect.bottom - rowRect.top - 0.49}px`
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const clipMargin = getComputedStyle(element).overflowClipMargin
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const bottom = element.getBoundingClientRect().bottom
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return {
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overflow: card.getBoundingClientRect().bottom - bottom,
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paintOverflow: card.getBoundingClientRect().bottom - bottom - Number.parseFloat(clipMargin),
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clipMargin,
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cardWidth: cardRect.width,
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cardHeight: cardRect.height,
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}
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})
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await timeline.settle()
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expect(geometry.overflow).toBeCloseTo(0.49, 1)
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expect(geometry.paintOverflow).toBeLessThanOrEqual(0)
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const edges = await captureCardEdges(page, card)
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expect(edges.box.width).toBeCloseTo(geometry.cardWidth, 2)
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expect(edges.box.height).toBeCloseTo(geometry.cardHeight, 2)
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expect(edges.luminance.top).toBeLessThan(245)
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expect(edges.luminance.bottom).toBeLessThan(245)
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expect(Math.abs(edges.luminance.bottom - edges.luminance.top)).toBeLessThan(10)
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expect(geometry.clipMargin).toBe("0.5px")
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})
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async function captureCardEdges(page: Page, card: Locator) {
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const box = await card.boundingBox()
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if (!box) throw new Error("Tool card bounds are unavailable")
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const viewport = page.viewportSize()
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if (!viewport) throw new Error("Viewport bounds are unavailable")
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const screenshot = await page.screenshot()
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return page.evaluate(
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async ({ source, box, viewport }) => {
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const image = new Image()
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image.src = source
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await image.decode()
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const canvas = document.createElement("canvas")
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canvas.width = image.naturalWidth
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canvas.height = image.naturalHeight
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const context = canvas.getContext("2d")
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if (!context) throw new Error("2D canvas is unavailable")
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context.drawImage(image, 0, 0)
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const scale = {
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x: image.naturalWidth / viewport.width,
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y: image.naturalHeight / viewport.height,
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}
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const rows = (candidates: number[]) => {
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const left = Math.floor((box.x + 8) * scale.x)
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const width = Math.floor((box.width - 16) * scale.x)
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return candidates.map((row) => {
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const pixels = context.getImageData(left, row, width, 1).data
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const indexes = Array.from({ length: width }, (_, index) => index * 4)
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return {
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luminance:
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indexes
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.map((index) => (pixels[index]! + pixels[index + 1]! + pixels[index + 2]!) / 3)
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.reduce((sum, value) => sum + value, 0) / width,
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magenta:
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indexes.filter((index) => pixels[index]! > 200 && pixels[index + 1]! < 180 && pixels[index + 2]! > 200)
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.length / width,
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}
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})
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}
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const pixels = context.getImageData(0, 0, image.naturalWidth, image.naturalHeight).data
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const columns = new Uint32Array(image.naturalWidth)
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for (let index = 0; index < pixels.length; index += 4) {
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if (pixels[index]! <= 200 || pixels[index + 1]! >= 180 || pixels[index + 2]! <= 200) continue
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columns[(index / 4) % image.naturalWidth] = columns[(index / 4) % image.naturalWidth]! + 1
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}
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const top = box.y * scale.y
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const bottom = (box.y + box.height) * scale.y
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const topRows = rows([Math.floor(top) - 1, Math.floor(top), Math.ceil(top)])
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const bottomRows = rows([Math.floor(bottom) - 2, Math.floor(bottom) - 1, Math.ceil(bottom) - 1])
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return {
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box,
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luminance: {
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top: Math.min(...topRows.map((row) => row.luminance)),
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bottom: rows([Math.ceil(bottom) - 1])[0]!.luminance,
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},
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magenta: {
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top: Math.max(...topRows.map((row) => row.magenta)),
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bottom: Math.max(...bottomRows.map((row) => row.magenta)),
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vertical: Array.from(columns).filter((count) => count > box.height * scale.y * 0.75).length,
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},
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}
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},
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{
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source: `data:image/png;base64,${screenshot.toString("base64")}`,
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viewport,
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box,
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},
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)
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}
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@ -1279,8 +1279,8 @@ export function MessageTimeline(props: {
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width: "100%",
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height: `${item().size}px`,
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overflow: "clip",
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// Rounded virtual measurements can otherwise clip the shell card's outer border pixel.
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"overflow-clip-margin": tool()?.tool === "bash" ? "0.5px" : undefined,
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// Rounded virtual measurements can otherwise clip a tool card's outer border pixel.
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"overflow-clip-margin": tool() ? "0.5px" : undefined,
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}}
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>
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<div
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