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Author SHA1 Message Date
renovate[bot] 34232327f7 chore(deps): update machine-learning 2026-05-22 18:04:17 +00:00
4 changed files with 520 additions and 485 deletions
+4 -4
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@@ -1,8 +1,8 @@
ARG DEVICE=cpu
FROM python:3.11-bookworm@sha256:970c99f886b839fc8829289040c1845dadaf2cae46b37acc7710333158ec29b4 AS builder-cpu
FROM python:3.11-bookworm@sha256:121d86b6d08752968a7dddbc708849e5f3a839bbff47f32212b46d2a1d842bab AS builder-cpu
FROM python:3.13-slim-trixie@sha256:d168b8d9eb761f4d3fe305ebd04aeb7e7f2de0297cec5fb2f8f6403244621664 AS builder-openvino
FROM python:3.13-slim-trixie@sha256:b04b5d7233d2ad9c379e22ea8927cd1378cd15c60d4ef876c065b25ea8fb3bf3 AS builder-openvino
FROM builder-cpu AS builder-cuda
@@ -39,12 +39,12 @@ RUN --mount=type=cache,target=/root/.cache/uv \
--mount=type=bind,source=pyproject.toml,target=pyproject.toml \
uv sync --frozen --extra ${DEVICE} --no-dev --no-editable --no-install-project --compile-bytecode --no-progress --active --link-mode copy
FROM python:3.11-slim-bookworm@sha256:9c6f90801e6b68e772b7c0ca74260cbf7af9f320acec894e26fccdaccfbe3b47 AS prod-cpu
FROM python:3.11-slim-bookworm@sha256:8dca233de9f3d9bb410665f00a4da6dd06f331083137e0e98ccf227236fcc438 AS prod-cpu
ENV LD_PRELOAD=/usr/lib/libmimalloc.so.2 \
MACHINE_LEARNING_MODEL_ARENA=false
FROM python:3.13-slim-trixie@sha256:d168b8d9eb761f4d3fe305ebd04aeb7e7f2de0297cec5fb2f8f6403244621664 AS prod-openvino
FROM python:3.13-slim-trixie@sha256:b04b5d7233d2ad9c379e22ea8927cd1378cd15c60d4ef876c065b25ea8fb3bf3 AS prod-openvino
RUN apt-get update && \
apt-get install --no-install-recommends -yqq ocl-icd-libopencl1 wget && \
+491 -444
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+21 -37
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@@ -149,35 +149,29 @@
return { width: 1, height: 1 };
});
const { insetInlineStart, top, displayWidth, displayHeight, rasterWidth, rasterHeight, rasterScale } = $derived.by(
() => {
const scaleFn = objectFit === 'cover' ? scaleToCover : scaleToFit;
const { width, height } = scaleFn(imageDimensions, container);
if (maxRasterPixels === 0) {
return {
insetInlineStart: (container.width - width) / 2 + 'px',
top: (container.height - height) / 2 + 'px',
displayWidth: width + 'px',
displayHeight: height + 'px',
rasterWidth: width + 'px',
rasterHeight: height + 'px',
rasterScale: 1,
};
}
const nativeRatio = imageDimensions.width / width;
const budgetRatio = Math.sqrt(maxRasterPixels / Math.max(width * height, 1));
const rasterRatio = Math.max(1, Math.min(nativeRatio, budgetRatio));
const { insetInlineStart, top, rasterWidth, rasterHeight, rasterScale } = $derived.by(() => {
const scaleFn = objectFit === 'cover' ? scaleToCover : scaleToFit;
const { width, height } = scaleFn(imageDimensions, container);
if (maxRasterPixels === 0) {
return {
insetInlineStart: (container.width - width) / 2 + 'px',
top: (container.height - height) / 2 + 'px',
displayWidth: width + 'px',
displayHeight: height + 'px',
rasterWidth: width * rasterRatio + 'px',
rasterHeight: height * rasterRatio + 'px',
rasterScale: 1 / rasterRatio,
rasterWidth: width + 'px',
rasterHeight: height + 'px',
rasterScale: 1,
};
},
);
}
const nativeRatio = imageDimensions.width / width;
const budgetRatio = Math.sqrt(maxRasterPixels / Math.max(width * height, 1));
const rasterRatio = Math.max(1, Math.min(nativeRatio, budgetRatio));
return {
insetInlineStart: (container.width - width) / 2 + 'px',
top: (container.height - height) / 2 + 'px',
rasterWidth: width * rasterRatio + 'px',
rasterHeight: height * rasterRatio + 'px',
rasterScale: 1 / rasterRatio,
};
});
const { status } = $derived(adaptiveImageLoader);
const alt = $derived(status.urls.preview ? $getAltText(toTimelineAsset(asset)) : '');
@@ -267,6 +261,7 @@
{alt}
width={rasterWidth}
height={rasterHeight}
{overlays}
quality="preview"
src={status.urls.preview}
bind:ref={previewElement}
@@ -279,22 +274,11 @@
{alt}
width={rasterWidth}
height={rasterHeight}
{overlays}
quality="original"
src={status.urls.original}
bind:ref={originalElement}
/>
{/if}
</div>
{#if overlays}
<div
class="pointer-events-none absolute"
style:inset-inline-start={insetInlineStart}
style:top
style:width={displayWidth}
style:height={displayHeight}
>
{@render overlays()}
</div>
{/if}
</div>
+4
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@@ -1,6 +1,7 @@
<script lang="ts">
import Image from '$lib/components/Image.svelte';
import type { AdaptiveImageLoader, ImageQuality } from '$lib/utils/adaptive-image-loader.svelte';
import type { Snippet } from 'svelte';
type Props = {
adaptiveImageLoader: AdaptiveImageLoader;
@@ -11,6 +12,7 @@
ref?: HTMLImageElement;
width: string;
height: string;
overlays?: Snippet;
};
let {
@@ -22,6 +24,7 @@
ref = $bindable(),
width,
height,
overlays,
}: Props = $props();
</script>
@@ -39,5 +42,6 @@
draggable={false}
data-testid={quality}
/>
{@render overlays?.()}
</div>
{/key}