From f0470410dfd68f0990024ec441b2b6dcc518b953 Mon Sep 17 00:00:00 2001 From: tianmo Date: Sat, 12 Sep 2026 18:10:52 +0800 Subject: [PATCH] =?UTF-8?q?=E7=BD=91=E7=AB=99=E9=A1=B5=E9=9D=A2?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- html/app.js | 842 ++ html/assets/demo/raptor/LICENSE.txt | 26 + html/assets/demo/raptor/embedded.js | 12 + html/assets/demo/raptor/raptor-pro.json | 9186 ++++++++++++ html/assets/demo/raptor/raptor.atlas | 85 + html/assets/demo/raptor/raptor.png | Bin 0 -> 418144 bytes html/assets/logo-spineviewer.png | Bin 0 -> 70448 bytes html/assets/spine-badge.png | Bin 0 -> 4567 bytes html/assets/spine/spine-background.js | 25 + html/assets/spine/spine-canvas-4.3.js | 13723 ++++++++++++++++++ html/assets/spine/spine-canvas-clipping.js | 243 + html/assets/spine/spine-webgl-rasterizer.js | 177 + html/assets/ui-animlist.png | Bin 0 -> 10955 bytes html/assets/ui-timeline.png | Bin 0 -> 28705 bytes html/assets/ui-toolbar.png | Bin 0 -> 21961 bytes html/assets/ui-window.png | Bin 0 -> 347500 bytes html/index.html | 434 + html/style.css | 1190 ++ 18 files changed, 25943 insertions(+) create mode 100644 html/app.js create mode 100644 html/assets/demo/raptor/LICENSE.txt create mode 100644 html/assets/demo/raptor/embedded.js create mode 100644 html/assets/demo/raptor/raptor-pro.json create mode 100644 html/assets/demo/raptor/raptor.atlas create mode 100644 html/assets/demo/raptor/raptor.png create mode 100644 html/assets/logo-spineviewer.png create mode 100644 html/assets/spine-badge.png create mode 100644 html/assets/spine/spine-background.js create mode 100644 html/assets/spine/spine-canvas-4.3.js create mode 100644 html/assets/spine/spine-canvas-clipping.js create mode 100644 html/assets/spine/spine-webgl-rasterizer.js create mode 100644 html/assets/ui-animlist.png create mode 100644 html/assets/ui-timeline.png create mode 100644 html/assets/ui-toolbar.png create mode 100644 html/assets/ui-window.png create mode 100644 html/index.html create mode 100644 html/style.css diff --git a/html/app.js b/html/app.js new file mode 100644 index 0000000..c078f29 --- /dev/null +++ b/html/app.js @@ -0,0 +1,842 @@ +/* ========================================================================== + SpineViewer 插件介绍网站脚本 + - 主题切换、图片放大、滚动出现 + - 查看器交互演示：官方 Raptor 示例（Spine 4.3.75-beta 导出） + 仅支持 Spine 4.3：使用 4.3 官方运行时 + 插件同款 WebGL 光栅化器， + WebGL 不可用时自动回退到 Canvas（与插件查看器的回退行为相同）。 + ========================================================================== */ +(function () { + 'use strict'; + + var root = document.documentElement; + var viewerEl = document.getElementById('viewerDemo'); + + function clamp(v, min, max) { return Math.min(max, Math.max(min, v)); } + + /* ---------------- 主题切换 ---------------- */ + + var themeToggle = document.getElementById('themeToggle'); + if (themeToggle) { + themeToggle.addEventListener('click', function () { + var next = root.dataset.theme === 'dark' ? 'light' : 'dark'; + root.dataset.theme = next; + try { localStorage.setItem('sv-site-theme', next); } catch (e) {} + refreshViewerColors(); + }); + } + + /* ---------------- 滚动出现（带兜底，内容不会一直隐藏） ---------------- */ + + var revealEls = Array.prototype.slice.call(document.querySelectorAll('.reveal')); + var revealTick = 0; + + function revealInViewport() { + var vh = window.innerHeight || document.documentElement.clientHeight; + for (var i = 0; i < revealEls.length; i++) { + var el = revealEls[i]; + if (el.classList.contains('visible')) continue; + var rect = el.getBoundingClientRect(); + if (rect.top < vh * 0.92 && rect.bottom > 0) el.classList.add('visible'); + } + } + + function revealAll() { + revealEls.forEach(function (el) { el.classList.add('visible'); }); + } + + function scheduleReveal() { + if (revealTick) return; + revealTick = window.requestAnimationFrame(function () { + revealTick = 0; + revealInViewport(); + }); + } + + revealInViewport(); + window.addEventListener('scroll', scheduleReveal, { passive: true }); + window.addEventListener('resize', scheduleReveal); + document.addEventListener('visibilitychange', function () { + if (document.visibilityState === 'visible') revealInViewport(); + }); + // 兜底：后台标签页 / 未触发滚动时，稍后也把全部内容显示出来 + setTimeout(revealAll, 2000); + + /* ---------------- 图片放大 ---------------- */ + + var lightbox = document.getElementById('lightbox'); + var lightboxImg = lightbox ? lightbox.querySelector('img') : null; + + function closeLightbox() { + if (!lightbox || lightbox.hidden) return; + lightbox.hidden = true; + lightboxImg.removeAttribute('src'); + document.body.style.overflow = ''; + } + + if (lightbox) { + Array.prototype.forEach.call(document.querySelectorAll('img.zoomable'), function (img) { + img.addEventListener('click', function () { + lightboxImg.src = img.currentSrc || img.src; + lightboxImg.alt = img.alt || ''; + lightbox.hidden = false; + document.body.style.overflow = 'hidden'; + }); + }); + lightbox.addEventListener('click', closeLightbox); + window.addEventListener('keydown', function (e) { + if (e.key === 'Escape') closeLightbox(); + }); + } + + /* ==================================================================== + 查看器交互演示（官方 Raptor 示例 · Spine 4.3 运行时渲染） + ==================================================================== */ + + if (!viewerEl) return; + + var spine = window.spine; + var svLibs = window.__svLibs || {}; + var FPS = 30; + var EPS = 1e-6; + var RUNTIME_DIR = '4.3'; // 演示只使用 4.3 + var DEFAULT_ANIMATION = 'walk'; + var DEMO_FILES = { + json: 'assets/demo/raptor/raptor-pro.json', + atlas: 'assets/demo/raptor/raptor.atlas', + texture: 'assets/demo/raptor/raptor.png' + }; + + var stageEl = document.getElementById('demoStage'); + var canvas = document.getElementById('demoCanvas'); + var ctx = canvas.getContext('2d'); + + var playBtn = document.getElementById('demoPlay'); + var loopCheck = document.getElementById('demoLoop'); + var speedRange = document.getElementById('demoSpeed'); + var speedVal = document.getElementById('demoSpeedVal'); + var bgCheck = document.getElementById('demoBg'); + var reloadBtn = document.getElementById('demoReload'); + var skinSelect = document.getElementById('demoSkin'); + var animListEl = document.getElementById('demoAnimList'); + var statusEl = document.getElementById('demoStatus'); + var durationEl = document.getElementById('demoDuration'); + var rulerEl = document.getElementById('demoRuler'); + var timelineEl = document.getElementById('demoTimeline'); + var keysEl = document.getElementById('demoKeys'); + var readoutEl = document.getElementById('demoReadout'); + var versionEl = document.getElementById('demoVersion'); + + var state = { + playing: true, + loop: true, + speed: 1, + background: false, + seeking: false, + animIndex: 0, + panX: 0, + panY: 0, + zoom: 1 + }; + + if (window.matchMedia && window.matchMedia('(prefers-reduced-motion: reduce)').matches) { + state.playing = false; + } + + var runtime = { + data: null, + skeleton: null, + animState: null, + atlas: null, + texture: null, + renderer: null, + canvasOnly: false, + ready: false, + loading: false + }; + + var colors = { bg: '#1e1e1e' }; + var dpr = 1; + var fitScale = 1, fitCx = 0, fitCy = 0; + var statusTimer = 0; + var drawErrorReported = false; + var lastFrameTime = performance.now(); + var needsDraw = true; // 暂停或没有交互时不再重绘 + var frameHandle = 0; // rAF 句柄：空闲时停止循环，避免持续占用 CPU + + // 需要重绘时唤醒渲染循环 + function wake() { + needsDraw = true; + if (!frameHandle) frameHandle = requestAnimationFrame(tick); + } + + function refreshViewerColors() { + var cs = getComputedStyle(viewerEl); + colors.bg = (cs.getPropertyValue('--v-bg') || '#1e1e1e').trim(); + wake(); + } + + // 控制画布总像素，避免高分辨率屏上占用过多显存 + function pickDpr(width, height) { + var value = Math.min(window.devicePixelRatio || 1, 2); + var maxPixels = 900000; + if (width > 0 && height > 0 && width * height * value * value > maxPixels) { + value = Math.max(1, Math.sqrt(maxPixels / (width * height))); + } + return value; + } + + /* ---------------- 状态提示 ---------------- */ + + function setStatus(message, holdMs) { + statusEl.textContent = message; + statusEl.classList.add('show'); + clearTimeout(statusTimer); + statusTimer = 0; + if (holdMs > 0 && isFinite(holdMs)) { + statusTimer = setTimeout(function () { statusEl.classList.remove('show'); }, holdMs); + } + } + + /* ---------------- 时间与刻度（与查看器同算法） ---------------- */ + + function frameOf(seconds) { return Math.round((seconds || 0) * FPS); } + + function formatSeconds(seconds) { + var value = Math.max(0, Number(seconds) || 0); + if (value < 10) return value.toFixed(2) + ' 秒'; + if (value < 60) return value.toFixed(1) + ' 秒'; + var minutes = Math.floor(value / 60); + return minutes + ':' + (value % 60).toFixed(1).padStart(4, '0'); + } + + function niceTickInterval(totalSeconds) { + var target = totalSeconds / 8; + var choices = [1 / 30, 0.1, 0.2, 0.5, 1, 2, 5, 10, 15, 30, 60, 120, 300, 600]; + for (var i = 0; i < choices.length; i++) { + if (choices[i] >= target) return choices[i]; + } + return Math.pow(10, Math.ceil(Math.log10(target))); + } + + function currentAnimation() { + if (!runtime.data || !runtime.data.animations) return null; + return runtime.data.animations[state.animIndex] || null; + } + + function animationDuration(anim) { + if (!anim) return 0; + var declared = Number(anim.duration); + if (Number.isFinite(declared) && declared > EPS) return declared; + var times = collectKeyframeTimes(anim); + return times.length ? Math.max.apply(null, times) : 0; + } + + function isStatic() { return animationDuration(currentAnimation()) <= EPS; } + + function snapTimeToFrame(seconds) { + var duration = animationDuration(currentAnimation()); + var lastFrame = Math.max(0, frameOf(duration)); + var frame = clamp(Math.round((Number(seconds) || 0) * FPS), 0, lastFrame); + return frame / FPS; + } + + // 与查看器一致：收集各 timeline 的关键帧时间 + function collectKeyframeTimes(anim) { + if (!anim || !anim.timelines) return []; + var times = new Set(); + for (var i = 0; i < anim.timelines.length; i++) { + var tl = anim.timelines[i]; + var frames = tl && tl.frames; + if (!frames || !frames.length) continue; + try { + if (Array.isArray(frames[0])) { + for (var f = 0; f < frames.length; f++) { + var frame = frames[f]; + if (frame && Number.isFinite(frame[0])) times.add(frame[0]); + } + continue; + } + var frameCount = typeof tl.getFrameCount === 'function' ? tl.getFrameCount() : 0; + var entries = typeof tl.getFrameEntries === 'function' + ? tl.getFrameEntries() + : (frameCount > 0 ? Math.max(1, Math.round(frames.length / frameCount)) : 1); + for (var k = 0; k < frameCount; k++) { + var value = frames[k * entries]; + if (Number.isFinite(value)) times.add(value); + } + } catch (e) { /* 忽略异常的 timeline */ } + } + return Array.from(times).filter(function (time) { return time >= 0; }).sort(function (a, b) { return a - b; }); + } + + function renderTimeRuler() { + rulerEl.innerHTML = ''; + var duration = animationDuration(currentAnimation()); + if (duration <= EPS) { + var staticLabel = document.createElement('span'); + staticLabel.className = 'tick-label first'; + staticLabel.style.left = '0%'; + staticLabel.textContent = '0 秒（静帧）'; + rulerEl.appendChild(staticLabel); + return; + } + var major = niceTickInterval(duration); + var minor = major / 5; + var count = Math.floor(duration / minor); + // 窄屏下隔一个主刻度显示标签，避免文字互相叠压 + var skipLabels = rulerEl.clientWidth > 0 && rulerEl.clientWidth < 430 ? 2 : 1; + for (var i = 0; i <= count; i++) { + var value = Math.min(i * minor, duration); + var percent = (value / duration) * 100; + var isMajor = i % 5 === 0 || Math.abs(value - duration) < 1e-8; + var tick = document.createElement('span'); + tick.className = 'tick' + (isMajor ? ' major' : ''); + tick.style.left = percent + '%'; + rulerEl.appendChild(tick); + if (isMajor) { + var isEnd = Math.abs(value - duration) < 1e-8; + if (!isEnd && (i / 5) % skipLabels !== 0) continue; + var label = document.createElement('span'); + label.className = 'tick-label' + (i === 0 ? ' first' : (isEnd ? ' last' : '')); + label.style.left = percent + '%'; + label.textContent = value < 10 ? value.toFixed(1) + 's' : Math.round(value) + 's'; + rulerEl.appendChild(label); + } + if (Math.abs(value - duration) < 1e-8) break; + } + if (Math.abs(duration / minor - Math.round(duration / minor)) > 1e-8) { + var endTick = document.createElement('span'); + endTick.className = 'tick major'; + endTick.style.left = '100%'; + rulerEl.appendChild(endTick); + var endLabel = document.createElement('span'); + endLabel.className = 'tick-label last'; + endLabel.style.left = '100%'; + endLabel.textContent = duration < 10 ? duration.toFixed(2) + 's' : duration.toFixed(1) + 's'; + rulerEl.appendChild(endLabel); + } + } + + function renderKeyframes() { + keysEl.innerHTML = ''; + var anim = currentAnimation(); + var duration = animationDuration(anim); + if (!anim) return; + if (duration <= EPS) { + var span = document.createElement('span'); + span.style.left = '0%'; + span.title = '静帧姿势 · 第 1 帧'; + keysEl.appendChild(span); + return; + } + var sorted = collectKeyframeTimes(anim).filter(function (time) { return time <= duration; }); + // 限制数量，避免过多标记 + var maxMarkers = 200; + var step = Math.max(1, Math.ceil(sorted.length / maxMarkers)); + for (var i = 0; i < sorted.length; i += step) { + var keyframeTime = sorted[i]; + var mark = document.createElement('span'); + mark.style.left = (keyframeTime / duration) * 100 + '%'; + mark.title = '关键帧 · ' + formatSeconds(keyframeTime) + ' · 第 ' + frameOf(keyframeTime) + ' 帧'; + keysEl.appendChild(mark); + } + } + + // 仅支持 4.3：轨道查询使用 getTrack + function trackEntry() { + return runtime.animState ? (runtime.animState.getTrack(0) || null) : null; + } + + function currentTrackTime() { + var entry = trackEntry(); + if (!entry) return 0; + var raw = Number.isFinite(entry.trackTime) ? entry.trackTime : 0; + var duration = animationDuration(currentAnimation()); + if (state.loop && duration > EPS) return raw % duration; + return Math.max(0, Math.min(raw, duration)); + } + + function updateReadout() { + var duration = animationDuration(currentAnimation()); + if (duration <= EPS) { + readoutEl.textContent = '静帧 · 1 / 1 帧'; + if (!state.seeking) timelineEl.value = '0'; + return; + } + var time = clamp(currentTrackTime(), 0, duration); + readoutEl.textContent = formatSeconds(time) + ' / ' + formatSeconds(duration) + + ' · ' + frameOf(time) + ' / ' + frameOf(duration) + ' 帧'; + if (!state.seeking) timelineEl.value = String(clamp(time / duration, 0, 1)); + } + + function updatePlayButton() { + if (!runtime.ready || isStatic()) { + playBtn.textContent = runtime.ready ? '▮ 静帧' : '⏸ 暂停'; + playBtn.disabled = true; + return; + } + playBtn.disabled = false; + playBtn.textContent = state.playing ? '⏸ 暂停' : '▶ 播放'; + } + + function updateTimelineUI() { + var duration = animationDuration(currentAnimation()); + var staticAnim = duration <= EPS; + durationEl.textContent = staticAnim + ? '静帧 · 1 帧' + : '时长 ' + formatSeconds(duration) + ' · ' + frameOf(duration) + ' 帧'; + timelineEl.disabled = staticAnim; + timelineEl.value = '0'; + updatePlayButton(); + renderTimeRuler(); + renderKeyframes(); + updateReadout(); + } + + function highlightAnimationItem() { + Array.prototype.forEach.call(animListEl.children, function (item, i) { + item.classList.toggle('active', i === state.animIndex); + item.setAttribute('aria-selected', i === state.animIndex ? 'true' : 'false'); + }); + } + + function selectAnimation(index) { + state.animIndex = index; + var anim = currentAnimation(); + if (runtime.animState && anim) { + var entry = runtime.animState.setAnimation(0, anim.name, state.loop); + if (entry) entry.loop = state.loop; + } + highlightAnimationItem(); + updateTimelineUI(); + wake(); + } + + /* ---------------- 骨架姿态与世界变换（4.3 API） ---------------- */ + + function updateWorld() { + if (runtime.skeleton) runtime.skeleton.updateWorldTransform(spine.Physics.update); + } + + function applyPose() { + if (!runtime.animState || !runtime.skeleton) return; + runtime.animState.apply(runtime.skeleton); + updateWorld(); + } + + function getBounds(sk) { + if (!sk || typeof sk.getBoundsRect !== 'function') return null; + var rect = sk.getBoundsRect(); + if (!rect || !(rect.width > 0) || !(rect.height > 0)) return null; + return { x: rect.x, y: rect.y, width: rect.width, height: rect.height }; + } + + function fitToCanvas() { + if (!runtime.skeleton) return; + var bundle = getBounds(runtime.skeleton); + var cw = canvas.clientWidth, ch = canvas.clientHeight; + if (!bundle || !cw || !ch) { + fitScale = 1; fitCx = 0; fitCy = 0; + return; + } + // 自动适配并居中；顶部控制栏与底部时间轴是浮动面板，按其实际高度留出空间 + var toolbarEl = viewerEl.querySelector('.v-toolbar'); + var timelineBar = viewerEl.querySelector('.v-timeline'); + var padTop = (toolbarEl ? toolbarEl.offsetHeight : 46) + 24; + var padBottom = (timelineBar ? timelineBar.offsetHeight : 68) + 24; + var pad = 0.06; + var availW = cw * (1 - pad * 2); + var availH = Math.max(60, ch - padTop - padBottom); + var scale = Math.min(availW / bundle.width, availH / bundle.height); + fitScale = (isFinite(scale) && scale > 0) ? scale : 1; + fitCx = bundle.x + bundle.width / 2; + fitCy = bundle.y + bundle.height / 2 - ((padBottom - padTop) / 2) / fitScale; + } + + /* ---------------- 渲染 ---------------- */ + + function buildRenderer(context, allowWebGL) { + if (!svLibs.clipping || typeof svLibs.clipping.createRenderer !== 'function') throw new Error('渲染模块未加载'); + var renderer; + if (allowWebGL) { + renderer = svLibs.clipping.createRenderer(spine, context, RUNTIME_DIR); + } else { + // 临时停用 WebGL 光栅化附着，得到纯 Canvas 渲染器 + var rasterizer = svLibs.rasterizer || {}; + var originalAttach = rasterizer.attach; + rasterizer.attach = function (r) { return r; }; + try { renderer = svLibs.clipping.createRenderer(spine, context, RUNTIME_DIR); } + finally { if (originalAttach) rasterizer.attach = originalAttach; } + } + // 示例为普通 Alpha 导出（atlas 未标注 pma），预乘保持关闭 + renderer.premultipliedAlpha = false; + return renderer; + } + + function drawSkeletonSafely() { + try { + runtime.renderer.draw(runtime.skeleton); + } catch (e) { + if (!runtime.canvasOnly) { + // WebGL 光栅化不可用（缺少 WebGL、纹理受限等）时回退到 Canvas 路径 + runtime.canvasOnly = true; + console.warn('WebGL 光栅化不可用，已回退到 Canvas 渲染：', (e && e.message) || e); + try { if (runtime.renderer && runtime.renderer.dispose) runtime.renderer.dispose(); } catch (e2) { /* ignore */ } + runtime.renderer = buildRenderer(ctx, false); + runtime.renderer.draw(runtime.skeleton); + return; + } + if (!drawErrorReported) { + drawErrorReported = true; + console.error(e); + setStatus('渲染失败：' + ((e && e.message) || e), 0); + } + } + } + + function draw() { + var cw = canvas.clientWidth, ch = canvas.clientHeight; + if (!cw || !ch) return; + var pixelWidth = Math.round(cw * dpr), pixelHeight = Math.round(ch * dpr); + if (canvas.width !== pixelWidth) canvas.width = pixelWidth; + if (canvas.height !== pixelHeight) canvas.height = pixelHeight; + + ctx.setTransform(dpr, 0, 0, dpr, 0, 0); + ctx.clearRect(0, 0, cw, ch); + ctx.fillStyle = colors.bg; + ctx.fillRect(0, 0, cw, ch); + if (!runtime.ready || !runtime.skeleton || !runtime.renderer) return; + + // 与查看器相同：居中 + 缩放 + Y 翻转；panX/panY 为屏幕坐标偏移 + var scale = fitScale * state.zoom; + ctx.save(); + ctx.translate(cw / 2 + state.panX, ch / 2 + state.panY); + ctx.scale(scale, -scale); + ctx.translate(-fitCx, -fitCy); + if (state.background && svLibs.background) { + svLibs.background.drawCheckerboard(ctx, canvas.width, canvas.height); + } + drawSkeletonSafely(); + ctx.restore(); + } + + /* ---------------- 主循环 ---------------- */ + + function tick(now) { + frameHandle = 0; + var dt = Math.min(0.05, (now - lastFrameTime) / 1000); + lastFrameTime = now; + + var advancing = false; + if (runtime.ready) { + var duration = animationDuration(currentAnimation()); + advancing = state.playing && !state.seeking && state.speed > 0 && duration > EPS; + runtime.animState.timeScale = advancing ? state.speed : 0; + runtime.animState.update(dt); + runtime.animState.apply(runtime.skeleton); + updateWorld(); + if (advancing) needsDraw = true; + + // 非循环播放到结尾时停止推进（与查看器行为一致） + var entry = trackEntry(); + if (entry && !state.loop && duration > EPS && entry.trackTime >= duration - 1e-4 && state.playing) { + state.playing = false; + updatePlayButton(); + needsDraw = true; + advancing = false; + } + } + + if (needsDraw) { + draw(); + updateReadout(); + needsDraw = false; + } + // 播放中持续刷新；暂停或空闲时停在这里，等待 wake() 唤醒 + if (advancing) frameHandle = requestAnimationFrame(tick); + } + + /* ---------------- 控件事件 ---------------- */ + + function togglePlay() { + if (!runtime.ready || isStatic()) return; + var duration = animationDuration(currentAnimation()); + var entry = trackEntry(); + // 播放到结尾后再次播放：从头发起 + if (!state.playing && entry && duration > EPS && entry.trackTime >= duration - 1e-4) { + var anim = currentAnimation(); + runtime.animState.setAnimation(0, anim.name, state.loop); + var next = trackEntry(); + if (next) next.loop = state.loop; + } + state.playing = !state.playing; + updatePlayButton(); + wake(); + } + + playBtn.addEventListener('click', togglePlay); + + loopCheck.addEventListener('change', function () { + state.loop = loopCheck.checked; + var entry = trackEntry(); + if (entry) entry.loop = state.loop; + }); + + speedRange.addEventListener('input', function () { + state.speed = Number(speedRange.value); + speedVal.textContent = state.speed.toFixed(1) + 'x'; + }); + + bgCheck.addEventListener('change', function () { + state.background = bgCheck.checked; + wake(); + }); + + skinSelect.addEventListener('change', function () { + if (!runtime.skeleton) return; + runtime.skeleton.setSkinByName(skinSelect.value); + runtime.skeleton.setupPoseSlots(); + setStatus('皮肤：' + skinSelect.value, 1600); + wake(); + }); + + reloadBtn.addEventListener('click', function () { + state.panX = 0; + state.panY = 0; + state.zoom = 1; + if (runtime.ready) { + selectAnimation(state.animIndex); + fitToCanvas(); + } + setStatus('已重新加载目录', 1800); + }); + + // 时间轴：拖动时暂停推进，并按帧对齐（与查看器一致） + timelineEl.addEventListener('pointerdown', function () { state.seeking = true; }); + timelineEl.addEventListener('input', function () { + if (!runtime.ready || isStatic()) return; + state.seeking = true; + var duration = animationDuration(currentAnimation()); + var time = snapTimeToFrame(Number(timelineEl.value) * duration); + var entry = trackEntry(); + if (entry) entry.trackTime = time; + applyPose(); + updateReadout(); + wake(); + }); + timelineEl.addEventListener('change', function () { state.seeking = false; }); + window.addEventListener('pointerup', function () { state.seeking = false; }); + + // 画布：左键拖拽平移，滚轮缩放，右键回到中心 + var dragging = false, dragX = 0, dragY = 0, startPanX = 0, startPanY = 0; + + stageEl.addEventListener('pointerdown', function (e) { + if (e.button !== 0) return; + dragging = true; + dragX = e.clientX; + dragY = e.clientY; + startPanX = state.panX; + startPanY = state.panY; + stageEl.classList.add('dragging'); + if (stageEl.setPointerCapture) stageEl.setPointerCapture(e.pointerId); + }); + + stageEl.addEventListener('pointermove', function (e) { + if (!dragging) return; + state.panX = startPanX + (e.clientX - dragX); + state.panY = startPanY + (e.clientY - dragY); + wake(); + }); + + function endDrag() { + dragging = false; + stageEl.classList.remove('dragging'); + } + + stageEl.addEventListener('pointerup', endDrag); + stageEl.addEventListener('pointercancel', endDrag); + + stageEl.addEventListener('wheel', function (e) { + e.preventDefault(); + state.zoom = clamp(state.zoom * Math.exp(-e.deltaY * 0.0012), 0.3, 6); + wake(); + }, { passive: false }); + + stageEl.addEventListener('contextmenu', function (e) { + e.preventDefault(); + state.panX = 0; + state.panY = 0; + state.zoom = 1; + wake(); + setStatus('已回到画布中心', 1600); + }); + + // 空格：鼠标悬停或演示区聚焦时播放/暂停 + var hovering = false; + viewerEl.addEventListener('pointerenter', function () { hovering = true; }); + viewerEl.addEventListener('pointerleave', function () { hovering = false; }); + + window.addEventListener('keydown', function (e) { + if (e.code !== 'Space' && e.key !== ' ') return; + var active = document.activeElement; + if (active && viewerEl.contains(active) && active !== viewerEl && active.closest('button, select, input, summary, a')) return; + if (!hovering && (!active || !viewerEl.contains(active))) return; + e.preventDefault(); + togglePlay(); + }); + + /* ---------------- 示例数据加载 ---------------- */ + + function loadImage(src) { + return new Promise(function (resolve, reject) { + var image = new Image(); + image.onload = function () { resolve(image); }; + image.onerror = function () { reject(new Error('贴图加载失败')); }; + image.src = src; + }); + } + + function fetchText(url) { + return fetch(url).then(function (response) { + if (!response.ok) throw new Error('HTTP ' + response.status); + return response.text(); + }); + } + + // 内嵌副本按需加载：file:// 或原始文件读取失败时才会用到 + function ensureEmbeddedData() { + if (window.SPINE_DEMO_DATA) return Promise.resolve(window.SPINE_DEMO_DATA); + return new Promise(function (resolve, reject) { + var script = document.createElement('script'); + script.src = 'assets/demo/raptor/embedded.js'; + script.onload = function () { + if (window.SPINE_DEMO_DATA) resolve(window.SPINE_DEMO_DATA); + else reject(new Error('缺少内嵌示例数据')); + }; + script.onerror = function () { reject(new Error('缺少内嵌示例数据')); }; + document.head.appendChild(script); + }); + } + + // http 环境读取同目录下的原始文件；file:// 下浏览器禁止 fetch 本地文本，改用内嵌副本 + function loadDemoData() { + if (location.protocol === 'file:') { + return ensureEmbeddedData().then(function (embedded) { + return { data: embedded.data, atlas: embedded.atlas, texture: embedded.texture || DEMO_FILES.texture, source: 'embedded' }; + }); + } + return Promise.all([fetchText(DEMO_FILES.json), fetchText(DEMO_FILES.atlas)]).then(function (texts) { + return { data: JSON.parse(texts[0]), atlas: texts[1], texture: DEMO_FILES.texture, source: 'file' }; + }).catch(function () { + return ensureEmbeddedData().then(function (embedded) { + return { data: embedded.data, atlas: embedded.atlas, texture: embedded.texture || DEMO_FILES.texture, source: 'embedded' }; + }); + }); + } + + function fillSkinSelect() { + skinSelect.innerHTML = ''; + var skins = (runtime.data && runtime.data.skins) || []; + skins.forEach(function (skin) { + var option = document.createElement('option'); + option.value = skin.name; + option.textContent = skin.name; + skinSelect.appendChild(option); + }); + skinSelect.disabled = skins.length === 0; + } + + function fillAnimationList() { + animListEl.innerHTML = ''; + var animations = (runtime.data && runtime.data.animations) || []; + animations.forEach(function (anim, i) { + var item = document.createElement('button'); + item.type = 'button'; + item.className = 'v-anim-item'; + item.textContent = anim.name; + item.title = anim.name; + item.setAttribute('role', 'option'); + item.setAttribute('aria-selected', 'false'); + item.addEventListener('click', function () { selectAnimation(i); }); + animListEl.appendChild(item); + }); + } + + async function initDemo() { + if (runtime.ready || runtime.loading) return; + runtime.loading = true; + setStatus('正在加载官方示例 Raptor…', 0); + try { + if (!spine || typeof spine.SkeletonJson !== 'function') throw new Error('Spine 运行时未加载'); + var payload = await loadDemoData(); + var image = await loadImage(payload.texture); + + runtime.texture = new spine.CanvasTexture(image); + // 仅支持 4.3：TextureAtlas 构造器只接收文本，纹理通过 page.setTexture 绑定 + runtime.atlas = new spine.TextureAtlas(payload.atlas); + for (var p = 0; p < runtime.atlas.pages.length; p++) { + runtime.atlas.pages[p].setTexture(runtime.texture); + } + var skeletonJson = new spine.SkeletonJson(new spine.AtlasAttachmentLoader(runtime.atlas)); + runtime.data = skeletonJson.readSkeletonData(payload.data); + runtime.skeleton = new spine.Skeleton(runtime.data); + runtime.animState = new spine.AnimationState(new spine.AnimationStateData(runtime.data)); + runtime.renderer = buildRenderer(ctx, true); + + // 默认皮肤：优先使用数据声明的默认皮肤，没有则用列表第一个 + var defaultSkin = runtime.data.defaultSkin || (runtime.data.skins && runtime.data.skins[0]) || null; + fillSkinSelect(); + if (defaultSkin) { + runtime.skeleton.setSkin(defaultSkin); + skinSelect.value = defaultSkin.name; + } + runtime.skeleton.setupPoseSlots(); + + fillAnimationList(); + // 默认播放 walk + var walkIndex = 0; + for (var i = 0; i < runtime.data.animations.length; i++) { + if (runtime.data.animations[i].name === DEFAULT_ANIMATION) { walkIndex = i; break; } + } + state.animIndex = walkIndex; + selectAnimation(walkIndex); + // 与查看器一致：先应用姿态并更新世界变换，再按包围盒自动适配 + applyPose(); + + versionEl.textContent = 'Spine ' + (runtime.data.version || ''); + runtime.ready = true; + dpr = pickDpr(canvas.clientWidth, canvas.clientHeight); + fitToCanvas(); + updateTimelineUI(); + wake(); + setStatus('已加载官方示例 Raptor · ' + runtime.data.animations.length + ' 个动画 · ' + + (payload.source === 'embedded' ? '内嵌数据' : '本地文件'), 3200); + } catch (e) { + console.error(e); + setStatus('示例加载失败：' + ((e && e.message) || e), 0); + } finally { + runtime.loading = false; + } + } + + /* ---------------- 尺寸与启动 ---------------- */ + + function resize() { + dpr = pickDpr(canvas.clientWidth, canvas.clientHeight); + fitToCanvas(); + renderTimeRuler(); // 宽度变化时重新决定刻度标签密度 + wake(); + } + + if ('ResizeObserver' in window) { + new ResizeObserver(resize).observe(stageEl); + } else { + window.addEventListener('resize', resize); + } + + refreshViewerColors(); + dpr = pickDpr(canvas.clientWidth, canvas.clientHeight); + updatePlayButton(); + wake(); + initDemo(); +})(); diff --git a/html/assets/demo/raptor/LICENSE.txt b/html/assets/demo/raptor/LICENSE.txt new file mode 100644 index 0000000..517ff9f --- /dev/null +++ b/html/assets/demo/raptor/LICENSE.txt @@ -0,0 +1,26 @@ +Spine Runtimes License Agreement +Last updated April 5, 2025. Replaces all prior versions. + +Copyright (c) 2013-2025, Esoteric Software LLC + +Integration of the Spine Runtimes into software or otherwise creating +derivative works of the Spine Runtimes is permitted under the terms and +conditions of Section 2 of the Spine Editor License Agreement: +https://esotericsoftware.com/spine-editor-license + +Otherwise, it is permitted to integrate the Spine Runtimes into software +or otherwise create derivative works of the Spine Runtimes (collectively, +"Products"), provided that each user of the Products must obtain their own +Spine Editor license and redistribution of the Products in any form must +include this license and copyright notice. + +THE SPINE RUNTIMES ARE PROVIDED BY ESOTERIC SOFTWARE LLC "AS IS" AND ANY +EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL ESOTERIC SOFTWARE LLC BE LIABLE FOR ANY +DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES +(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES, +BUSINESS INTERRUPTION, OR LOSS OF USE, DATA, OR PROFITS) HOWEVER CAUSED AND +ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF +THE SPINE RUNTIMES, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/html/assets/demo/raptor/embedded.js b/html/assets/demo/raptor/embedded.js new file mode 100644 index 0000000..d50d296 --- /dev/null +++ b/html/assets/demo/raptor/embedded.js @@ -0,0 +1,12 @@ +// 官方 Raptor 示例（Spine 4.3.75-beta 导出）的 JS 内嵌副本。 +// 用途：以 file:// 直接打开页面时，浏览器不允许 fetch 本地文本，本地图片也会污染画布， +// 这里预先内嵌 JSON、Atlas 与贴图的 data URL，保证离线与 file:// 场景下同样可以渲染。 +// 数据来源：Esoteric Software spine-runtimes 仓库 examples/raptor/export +// 固定提交：ba17cf88b198c6531c6c51d8d4e1e4b3c3ab47dd（Spine Runtimes License，见 LICENSE.txt）。 +window.SPINE_DEMO_DATA = { + name: "Raptor", + version: "4.3.75-beta", + data: 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90\nraptor-hindleg-back\n\tbounds: 745, 158, 169, 215\n\trotate: 180\nraptor-horn\n\tbounds: 2, 293, 182, 80\nraptor-horn-back\n\tbounds: 174, 123, 176, 77\nraptor-jaw\n\tbounds: 772, 35, 126, 138\n\trotate: 270\nraptor-jaw-tooth\n\tbounds: 686, 242, 37, 48\nraptor-mouth-inside\n\tbounds: 755, 39, 36, 41\nraptor-saddle-strap-back\n\tbounds: 626, 26, 54, 74\nraptor-saddle-strap-front\n\tbounds: 2, 96, 57, 95\nraptor-saddle-w-shadow\n\tbounds: 2, 88, 162, 171\n\trotate: 90\nraptor-tail-shadow\n\tbounds: 159, 58, 189, 63\nraptor-tongue\n\tbounds: 685, 33, 86, 64\nstirrup-back\n\tbounds: 783, 204, 44, 35\nstirrup-front\n\tbounds: 185, 323, 45, 50\nstirrup-strap\n\tbounds: 636, 217, 49, 46\ntorso\n\tbounds: 442, 48, 54, 91\nvisor\n\tbounds: 356, 91, 131, 84\n\trotate: 90\n", + texture: 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bounds: 956, 231, 41, 38 +front-open-hand + bounds: 770, 329, 43, 44 +front-thigh + bounds: 897, 240, 57, 29 +gun + bounds: 915, 106, 107, 103 +gun-nohand + bounds: 916, 271, 105, 102 +head + bounds: 626, 81, 136, 149 +lower-leg + bounds: 551, 42, 73, 98 +mouth-grind + bounds: 2, 64, 47, 30 +mouth-smile + bounds: 841, 127, 47, 30 +neck + bounds: 281, 352, 18, 21 +raptor-back-arm + bounds: 80, 11, 82, 86 +raptor-body + bounds: 2, 140, 632, 233 +raptor-front-arm + bounds: 911, 2, 81, 102 +raptor-front-leg + bounds: 524, 182, 191, 257 + rotate: 90 +raptor-hindleg-back + bounds: 745, 158, 169, 215 + rotate: 180 +raptor-horn + bounds: 2, 293, 182, 80 +raptor-horn-back + bounds: 174, 123, 176, 77 +raptor-jaw + bounds: 772, 35, 126, 138 + rotate: 270 +raptor-jaw-tooth + bounds: 686, 242, 37, 48 +raptor-mouth-inside + bounds: 755, 39, 36, 41 +raptor-saddle-strap-back + bounds: 626, 26, 54, 74 +raptor-saddle-strap-front + bounds: 2, 96, 57, 95 +raptor-saddle-w-shadow + bounds: 2, 88, 162, 171 + 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const xs = corners.map(p => p[0]), ys = corners.map(p => p[1]); + const x = Math.min(...xs), y = Math.min(...ys); + if (!Number.isFinite(x + y)) return; + ctx.save(); + try { ctx.imageSmoothingEnabled = false; ctx.fillStyle = pattern; ctx.fillRect(x, y, Math.max(...xs)-x, Math.max(...ys)-y); } + finally { ctx.restore(); } +} + +module.exports = { drawCheckerboard }; diff --git a/html/assets/spine/spine-canvas-4.3.js b/html/assets/spine/spine-canvas-4.3.js new file mode 100644 index 0000000..e7405c6 --- /dev/null +++ b/html/assets/spine/spine-canvas-4.3.js @@ -0,0 +1,13723 @@ +"use strict"; +var spine = (() => { + var __defProp = Object.defineProperty; + var __getOwnPropDesc = Object.getOwnPropertyDescriptor; + var __getOwnPropNames = Object.getOwnPropertyNames; + var __hasOwnProp = Object.prototype.hasOwnProperty; + var __export = (target, all) => { + for (var name in all) + __defProp(target, name, { get: all[name], enumerable: true }); + }; + var __copyProps = (to, from, except, desc) => { + if (from && typeof from === "object" || typeof from === "function") { + for (let key of __getOwnPropNames(from)) + if (!__hasOwnProp.call(to, key) && key !== except) + __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable }); + } + return to; + }; + var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod); + + // spine-canvas/src/index.ts + var index_exports = {}; + __export(index_exports, { + ATTACH_RETAIN: () => ATTACH_RETAIN, + ATTACH_SETUP: () => ATTACH_SETUP, + AlphaTimeline: () => AlphaTimeline, + Animation: () => Animation, + AnimationState: () => AnimationState, + AnimationStateAdapter: () => AnimationStateAdapter, + AnimationStateData: () => AnimationStateData, + AssetCache: () => AssetCache, + AssetManager: () => AssetManager, + AssetManagerBase: () => AssetManagerBase, + AtlasAttachmentLoader: () => AtlasAttachmentLoader, + Attachment: () => Attachment, + AttachmentTimeline: () => AttachmentTimeline, + BinaryInput: () => BinaryInput, + BlendMode: () => BlendMode, + Bone: () => Bone, + BoneData: () => BoneData, + BonePose: () => BonePose, + BoneTimeline1: () => BoneTimeline1, + BoneTimeline2: () => BoneTimeline2, + BoundingBoxAttachment: () => BoundingBoxAttachment, + CURRENT: () => CURRENT, + CanvasTexture: () => CanvasTexture, + ClippingAttachment: () => ClippingAttachment, + Color: () => Color, + Constraint: () => Constraint, + ConstraintData: () => ConstraintData, + ConstraintTimeline1: () => ConstraintTimeline1, + CurveTimeline: () => CurveTimeline, + CurveTimeline1: () => CurveTimeline1, + DebugUtils: () => DebugUtils, + DeformTimeline: () => DeformTimeline, + Downloader: () => Downloader, + DrawOrder: () => DrawOrder, + DrawOrderFolderTimeline: () => DrawOrderFolderTimeline, + DrawOrderTimeline: () => DrawOrderTimeline, + Event: () => Event, + EventData: () => EventData, + EventQueue: () => EventQueue, + EventTimeline: () => EventTimeline, + EventType: () => EventType, + FIRST: () => FIRST, + FakeTexture: () => FakeTexture, + FromProperty: () => FromProperty, + FromRotate: () => FromRotate, + FromScaleX: () => FromScaleX, + FromScaleY: () => FromScaleY, + FromShearY: () => FromShearY, + FromX: () => FromX, + FromY: () => FromY, + HOLD: () => HOLD, + IkConstraint: () => IkConstraint, + IkConstraintData: () => IkConstraintData, + IkConstraintPose: () => IkConstraintPose, + IkConstraintTimeline: () => IkConstraintTimeline, + Inherit: () => Inherit, + InheritTimeline: () => InheritTimeline, + IntSet: () => IntSet, + Interpolation: () => Interpolation, + MODE: () => MODE, + MathUtils: () => MathUtils, + MeshAttachment: () => MeshAttachment, + MixFrom: () => MixFrom, + PathAttachment: () => PathAttachment, + PathConstraint: () => PathConstraint, + PathConstraintData: () => PathConstraintData, + PathConstraintMixTimeline: () => PathConstraintMixTimeline, + PathConstraintPose: () => PathConstraintPose, + PathConstraintPositionTimeline: () => PathConstraintPositionTimeline, + PathConstraintSpacingTimeline: () => PathConstraintSpacingTimeline, + Physics: () => Physics, + PhysicsConstraint: () => PhysicsConstraint, + PhysicsConstraintDampingTimeline: () => PhysicsConstraintDampingTimeline, + PhysicsConstraintData: () => PhysicsConstraintData, + PhysicsConstraintGravityTimeline: () => PhysicsConstraintGravityTimeline, + PhysicsConstraintInertiaTimeline: () => PhysicsConstraintInertiaTimeline, + PhysicsConstraintMassTimeline: () => PhysicsConstraintMassTimeline, + PhysicsConstraintMixTimeline: () => PhysicsConstraintMixTimeline, + PhysicsConstraintPose: () => PhysicsConstraintPose, + PhysicsConstraintResetTimeline: () => PhysicsConstraintResetTimeline, + PhysicsConstraintStrengthTimeline: () => PhysicsConstraintStrengthTimeline, + PhysicsConstraintTimeline: () => PhysicsConstraintTimeline, + PhysicsConstraintWindTimeline: () => PhysicsConstraintWindTimeline, + PointAttachment: () => PointAttachment, + Pool: () => Pool, + Posed: () => Posed, + PosedActive: () => PosedActive, + PosedData: () => PosedData, + PositionMode: () => PositionMode, + Pow: () => Pow, + PowOut: () => PowOut, + Property: () => Property, + RGB2Timeline: () => RGB2Timeline, + RGBA2Timeline: () => RGBA2Timeline, + RGBATimeline: () => RGBATimeline, + RGBTimeline: () => RGBTimeline, + RegionAttachment: () => RegionAttachment, + RotateMode: () => RotateMode, + RotateTimeline: () => RotateTimeline, + SETUP: () => SETUP, + ScaleTimeline: () => ScaleTimeline, + ScaleXTimeline: () => ScaleXTimeline, + ScaleYMode: () => ScaleYMode, + ScaleYTimeline: () => ScaleYTimeline, + Sequence: () => Sequence, + SequenceMode: () => SequenceMode, + SequenceModeValues: () => SequenceModeValues, + SequenceTimeline: () => SequenceTimeline, + ShearTimeline: () => ShearTimeline, + ShearXTimeline: () => ShearXTimeline, + ShearYTimeline: () => ShearYTimeline, + Skeleton: () => Skeleton, + SkeletonBinary: () => SkeletonBinary, + SkeletonBounds: () => SkeletonBounds, + SkeletonClipping: () => SkeletonClipping, + SkeletonData: () => SkeletonData, + SkeletonJson: () => SkeletonJson, + SkeletonPhysicsMovement: () => SkeletonPhysicsMovement, + SkeletonRenderer: () => SkeletonRenderer, + SkeletonRendererCore: () => SkeletonRendererCore, + Skin: () => Skin, + SkinEntry: () => SkinEntry, + Slider: () => Slider, + SliderData: () => SliderData, + SliderMixTimeline: () => SliderMixTimeline, + SliderPose: () => SliderPose, + SliderTimeline: () => SliderTimeline, + Slot: () => Slot, + SlotCurveTimeline: () => SlotCurveTimeline, + SlotData: () => SlotData, + SlotPose: () => SlotPose, + SpacingMode: () => SpacingMode, + StringSet: () => StringSet, + Texture: () => Texture, + TextureAtlas: () => TextureAtlas, + TextureAtlasPage: () => TextureAtlasPage, + TextureAtlasRegion: () => TextureAtlasRegion, + TextureFilter: () => TextureFilter, + TextureRegion: () => TextureRegion, + TextureWrap: () => TextureWrap, + TimeKeeper: () => TimeKeeper, + Timeline: () => Timeline, + ToProperty: () => ToProperty, + ToRotate: () => ToRotate, + ToScaleX: () => ToScaleX, + ToScaleY: () => ToScaleY, + ToShearY: () => ToShearY, + ToX: () => ToX, + ToY: () => ToY, + TrackEntry: () => TrackEntry, + TransformConstraint: () => TransformConstraint, + TransformConstraintData: () => TransformConstraintData, + TransformConstraintPose: () => TransformConstraintPose, + TransformConstraintTimeline: () => TransformConstraintTimeline, + TranslateTimeline: () => TranslateTimeline, + TranslateXTimeline: () => TranslateXTimeline, + TranslateYTimeline: () => TranslateYTimeline, + Triangulator: () => Triangulator, + Utils: () => Utils, + Vector2: () => Vector2, + VertexAttachment: () => VertexAttachment, + WindowedMean: () => WindowedMean, + isBoneTimeline: () => isBoneTimeline, + isConstraintTimeline: () => isConstraintTimeline, + isSlotTimeline: () => isSlotTimeline + }); + + // spine-core/src/Utils.ts + var IntSet = class { + array = []; + add(value) { + const contains = this.contains(value); + this.array[value | 0] = value | 0; + return !contains; + } + contains(value) { + return this.array[value | 0] !== void 0; + } + remove(value) { + this.array[value | 0] = void 0; + } + clear() { + this.array.length = 0; + } + }; + var StringSet = class { + entries = {}; + size = 0; + add(value) { + const contains = this.entries[value]; + this.entries[value] = true; + if (!contains) { + this.size++; + return true; + } + return false; + } + addAll(values) { + const oldSize = this.size; + for (let i = 0, n = values.length; i < n; i++) + this.add(values[i]); + return oldSize !== this.size; + } + contains(value) { + return this.entries[value]; + } + clear() { + this.entries = {}; + this.size = 0; + } + }; + var Color = class _Color { + constructor(r = 0, g = 0, b = 0, a = 0) { + this.r = r; + this.g = g; + this.b = b; + this.a = a; + } + static WHITE = new _Color(1, 1, 1, 1); + static RED = new _Color(1, 0, 0, 1); + static GREEN = new _Color(0, 1, 0, 1); + static BLUE = new _Color(0, 0, 1, 1); + static MAGENTA = new _Color(1, 0, 1, 1); + set(r, g, b, a) { + this.r = r; + this.g = g; + this.b = b; + this.a = a; + return this.clamp(); + } + setFromColor(c) { + this.r = c.r; + this.g = c.g; + this.b = c.b; + this.a = c.a; + return this; + } + setFromString(hex) { + hex = hex.charAt(0) === "#" ? hex.substr(1) : hex; + this.r = parseInt(hex.substr(0, 2), 16) / 255; + this.g = parseInt(hex.substr(2, 2), 16) / 255; + this.b = parseInt(hex.substr(4, 2), 16) / 255; + this.a = hex.length !== 8 ? 1 : parseInt(hex.substr(6, 2), 16) / 255; + return this; + } + add(r, g, b, a) { + this.r += r; + this.g += g; + this.b += b; + this.a += a; + return this.clamp(); + } + clamp() { + if (this.r < 0) this.r = 0; + else if (this.r > 1) this.r = 1; + if (this.g < 0) this.g = 0; + else if (this.g > 1) this.g = 1; + if (this.b < 0) this.b = 0; + else if (this.b > 1) this.b = 1; + if (this.a < 0) this.a = 0; + else if (this.a > 1) this.a = 1; + return this; + } + static rgba8888ToColor(color, value) { + color.r = ((value & 4278190080) >>> 24) / 255; + color.g = ((value & 16711680) >>> 16) / 255; + color.b = ((value & 65280) >>> 8) / 255; + color.a = (value & 255) / 255; + } + static rgb888ToColor(color, value) { + color.r = ((value & 16711680) >>> 16) / 255; + color.g = ((value & 65280) >>> 8) / 255; + color.b = (value & 255) / 255; + } + toRgb888() { + const hex = (x) => `0${(x * 255).toString(16)}`.slice(-2); + return Number(`0x${hex(this.r)}${hex(this.g)}${hex(this.b)}`); + } + static fromString(hex, color = new _Color()) { + return color.setFromString(hex); + } + }; + var MathUtils = class _MathUtils { + static epsilon = 1e-5; + static epsilon2 = _MathUtils.epsilon * _MathUtils.epsilon; + // biome-ignore lint/suspicious/noApproximativeNumericConstant: reference runtime + static PI = 3.1415927; + static PI2 = _MathUtils.PI * 2; + static invPI2 = 1 / _MathUtils.PI2; + static radiansToDegrees = 180 / _MathUtils.PI; + static radDeg = _MathUtils.radiansToDegrees; + static degreesToRadians = _MathUtils.PI / 180; + static degRad = _MathUtils.degreesToRadians; + static clamp(value, min, max) { + if (value < min) return min; + if (value > max) return max; + return value; + } + static cosDeg(degrees) { + return Math.cos(degrees * _MathUtils.degRad); + } + static sinDeg(degrees) { + return Math.sin(degrees * _MathUtils.degRad); + } + static atan2Deg(y, x) { + return Math.atan2(y, x) * _MathUtils.radDeg; + } + static signum(value) { + return value > 0 ? 1 : value < 0 ? -1 : 0; + } + static toInt(x) { + return x > 0 ? Math.floor(x) : Math.ceil(x); + } + static cbrt(x) { + const y = Math.pow(Math.abs(x), 1 / 3); + return x < 0 ? -y : y; + } + static randomTriangular(min, max) { + return _MathUtils.randomTriangularWith(min, max, (min + max) * 0.5); + } + static randomTriangularWith(min, max, mode) { + const u = Math.random(); + const d = max - min; + if (u <= (mode - min) / d) return min + Math.sqrt(u * d * (mode - min)); + return max - Math.sqrt((1 - u) * d * (max - mode)); + } + static isPowerOfTwo(value) { + return value && (value & value - 1) === 0; + } + }; + var Interpolation = class _Interpolation { + static linear = new class extends _Interpolation { + applyInternal(a) { + return a; + } + }(); + /** Aka "smoothstep". */ + static smooth = new class extends _Interpolation { + applyInternal(a) { + return a * a * (3 - 2 * a); + } + }(); + /** Slow, then fast. */ + static slowFast = new class extends _Interpolation { + applyInternal(a) { + return a * a; + } + }(); + /** Fast, then slow. */ + static fastSlow = new class extends _Interpolation { + applyInternal(a) { + return (a - 1) * (a - 1) * -1 + 1; + } + }(); + static circle = new class extends _Interpolation { + applyInternal(a) { + if (a <= 0.5) { + a *= 2; + return (1 - Math.sqrt(1 - a * a)) / 2; + } + a--; + a *= 2; + return (Math.sqrt(1 - a * a) + 1) / 2; + } + }(); + apply(start, end, a) { + if (end === void 0 || a === void 0) return this.applyInternal(start); + return start + (end - start) * this.applyInternal(a); + } + }; + var Pow = class extends Interpolation { + power = 2; + constructor(power) { + super(); + this.power = power; + } + applyInternal(a) { + if (a <= 0.5) return Math.pow(a * 2, this.power) / 2; + return Math.pow((a - 1) * 2, this.power) / (this.power % 2 === 0 ? -2 : 2) + 1; + } + }; + var PowOut = class extends Pow { + constructor(power) { + super(power); + } + applyInternal(a) { + return Math.pow(a - 1, this.power) * (this.power % 2 === 0 ? -1 : 1) + 1; + } + }; + var Utils = class _Utils { + static SUPPORTS_TYPED_ARRAYS = typeof Float32Array !== "undefined"; + static arrayCopy(source, sourceStart, dest, destStart, numElements) { + for (let i = sourceStart, j = destStart; i < sourceStart + numElements; i++, j++) { + dest[j] = source[i]; + } + } + static arrayFill(array, fromIndex, toIndex, value) { + for (let i = fromIndex; i < toIndex; i++) + array[i] = value; + } + // biome-ignore lint/suspicious/noExplicitAny: ok any in this case + static setArraySize(array, size, value = 0) { + const oldSize = array.length; + if (oldSize === size) return array; + array.length = size; + if (oldSize < size) { + for (let i = oldSize; i < size; i++) array[i] = value; + } + return array; + } + // biome-ignore lint/suspicious/noExplicitAny: ok any in this case + static ensureArrayCapacity(array, size, value = 0) { + if (array.length >= size) return array; + return _Utils.setArraySize(array, size, value); + } + static newArray(size, defaultValue) { + const array = []; + for (let i = 0; i < size; i++) array[i] = defaultValue; + return array; + } + static newFloatArray(size) { + if (_Utils.SUPPORTS_TYPED_ARRAYS) + return new Float32Array(size); + else { + const array = []; + for (let i = 0; i < array.length; i++) array[i] = 0; + return array; + } + } + static newShortArray(size) { + if (_Utils.SUPPORTS_TYPED_ARRAYS) + return new Int16Array(size); + else { + const array = []; + for (let i = 0; i < array.length; i++) array[i] = 0; + return array; + } + } + static toFloatArray(array) { + return _Utils.SUPPORTS_TYPED_ARRAYS ? new Float32Array(array) : array; + } + static toSinglePrecision(value) { + return _Utils.SUPPORTS_TYPED_ARRAYS ? Math.fround(value) : value; + } + // This function is used to fix WebKit 602 specific issue described at https://esotericsoftware.com/forum/d/10109-ios-10-disappearing-graphics + static webkit602BugfixHelper(alpha) { + } + static contains(array, element, identity = true) { + for (let i = 0; i < array.length; i++) + if (array[i] === element) return true; + return false; + } + // biome-ignore lint/suspicious/noExplicitAny: ok any in this case + static enumValue(type, name) { + return type[name[0].toUpperCase() + name.slice(1)]; + } + }; + var DebugUtils = class { + static logBones(skeleton) { + for (let i = 0; i < skeleton.bones.length; i++) { + const bone = skeleton.bones[i].appliedPose; + console.log(`${bone.bone.data.name}, ${bone.a}, ${bone.b}, ${bone.c}, ${bone.d}, ${bone.worldX}, ${bone.worldY}`); + } + } + }; + var Pool = class { + items = []; + instantiator; + constructor(instantiator) { + this.instantiator = instantiator; + } + obtain() { + return this.items.length > 0 ? this.items.pop() : this.instantiator(); + } + free(item) { + item.reset?.(); + this.items.push(item); + } + freeAll(items) { + for (let i = 0; i < items.length; i++) + this.free(items[i]); + } + clear() { + this.items.length = 0; + } + }; + var Vector2 = class { + constructor(x = 0, y = 0) { + this.x = x; + this.y = y; + } + set(x, y) { + this.x = x; + this.y = y; + return this; + } + length() { + const x = this.x; + const y = this.y; + return Math.sqrt(x * x + y * y); + } + normalize() { + const len = this.length(); + if (len !== 0) { + this.x /= len; + this.y /= len; + } + return this; + } + }; + var TimeKeeper = class { + maxDelta = 0.064; + framesPerSecond = 0; + delta = 0; + totalTime = 0; + lastTime = Date.now() / 1e3; + frameCount = 0; + frameTime = 0; + update() { + const now = Date.now() / 1e3; + this.delta = now - this.lastTime; + this.frameTime += this.delta; + this.totalTime += this.delta; + if (this.delta > this.maxDelta) this.delta = this.maxDelta; + this.lastTime = now; + this.frameCount++; + if (this.frameTime > 1) { + this.framesPerSecond = this.frameCount / this.frameTime; + this.frameTime = 0; + this.frameCount = 0; + } + } + }; + var WindowedMean = class { + values; + addedValues = 0; + lastValue = 0; + mean = 0; + dirty = true; + constructor(windowSize = 32) { + this.values = new Array(windowSize); + } + hasEnoughData() { + return this.addedValues >= this.values.length; + } + addValue(value) { + if (this.addedValues < this.values.length) this.addedValues++; + this.values[this.lastValue++] = value; + if (this.lastValue > this.values.length - 1) this.lastValue = 0; + this.dirty = true; + } + getMean() { + if (this.hasEnoughData()) { + if (this.dirty) { + let mean = 0; + for (let i = 0; i < this.values.length; i++) + mean += this.values[i]; + this.mean = mean / this.values.length; + this.dirty = false; + } + return this.mean; + } + return 0; + } + }; + + // spine-core/src/Texture.ts + var Texture = class { + _image; + constructor(image) { + this._image = image; + } + getImage() { + return this._image; + } + }; + var TextureFilter = /* @__PURE__ */ ((TextureFilter2) => { + TextureFilter2[TextureFilter2["Nearest"] = 9728] = "Nearest"; + TextureFilter2[TextureFilter2["Linear"] = 9729] = "Linear"; + TextureFilter2[TextureFilter2["MipMap"] = 9987] = "MipMap"; + TextureFilter2[TextureFilter2["MipMapNearestNearest"] = 9984] = "MipMapNearestNearest"; + TextureFilter2[TextureFilter2["MipMapLinearNearest"] = 9985] = "MipMapLinearNearest"; + TextureFilter2[TextureFilter2["MipMapNearestLinear"] = 9986] = "MipMapNearestLinear"; + TextureFilter2[TextureFilter2["MipMapLinearLinear"] = 9987] = "MipMapLinearLinear"; + return TextureFilter2; + })(TextureFilter || {}); + var TextureWrap = /* @__PURE__ */ ((TextureWrap2) => { + TextureWrap2[TextureWrap2["MirroredRepeat"] = 33648] = "MirroredRepeat"; + TextureWrap2[TextureWrap2["ClampToEdge"] = 33071] = "ClampToEdge"; + TextureWrap2[TextureWrap2["Repeat"] = 10497] = "Repeat"; + return TextureWrap2; + })(TextureWrap || {}); + var TextureRegion = class { + texture; + u = 0; + v = 0; + u2 = 0; + v2 = 0; + width = 0; + height = 0; + degrees = 0; + offsetX = 0; + offsetY = 0; + originalWidth = 0; + originalHeight = 0; + }; + var FakeTexture = class extends Texture { + setFilters(minFilter, magFilter) { + } + setWraps(uWrap, vWrap) { + } + dispose() { + } + }; + + // spine-core/src/TextureAtlas.ts + var TextureAtlas = class { + pages = []; + regions = []; + constructor(atlasText) { + const reader = new TextureAtlasReader(atlasText); + const entry = new Array(4); + const pageFields = {}; + pageFields.size = (page2) => { + page2.width = parseInt(entry[1]); + page2.height = parseInt(entry[2]); + }; + pageFields.format = () => { + }; + pageFields.filter = (page2) => { + page2.minFilter = Utils.enumValue(TextureFilter, entry[1]); + page2.magFilter = Utils.enumValue(TextureFilter, entry[2]); + }; + pageFields.repeat = (page2) => { + if (entry[1].indexOf("x") !== -1) page2.uWrap = 10497 /* Repeat */; + if (entry[1].indexOf("y") !== -1) page2.vWrap = 10497 /* Repeat */; + }; + pageFields.pma = (page2) => { + page2.pma = entry[1] === "true"; + }; + var regionFields = {}; + regionFields.xy = (region) => { + region.x = parseInt(entry[1]); + region.y = parseInt(entry[2]); + }; + regionFields.size = (region) => { + region.width = parseInt(entry[1]); + region.height = parseInt(entry[2]); + }; + regionFields.bounds = (region) => { + region.x = parseInt(entry[1]); + region.y = parseInt(entry[2]); + region.width = parseInt(entry[3]); + region.height = parseInt(entry[4]); + }; + regionFields.offset = (region) => { + region.offsetX = parseInt(entry[1]); + region.offsetY = parseInt(entry[2]); + }; + regionFields.orig = (region) => { + region.originalWidth = parseInt(entry[1]); + region.originalHeight = parseInt(entry[2]); + }; + regionFields.offsets = (region) => { + region.offsetX = parseInt(entry[1]); + region.offsetY = parseInt(entry[2]); + region.originalWidth = parseInt(entry[3]); + region.originalHeight = parseInt(entry[4]); + }; + regionFields.rotate = (region) => { + const value = entry[1]; + if (value === "true") + region.degrees = 90; + else if (value !== "false") + region.degrees = parseInt(value); + }; + regionFields.index = (region) => { + region.index = parseInt(entry[1]); + }; + let line = reader.readLine(); + while (line && line.trim().length === 0) + line = reader.readLine(); + while (true) { + if (!line || line.trim().length === 0) break; + if (reader.readEntry(entry, line) === 0) break; + line = reader.readLine(); + } + let page = null; + let names = null; + let values = null; + while (true) { + if (line === null) break; + if (line.trim().length === 0) { + page = null; + line = reader.readLine(); + } else if (!page) { + page = new TextureAtlasPage(line.trim()); + while (true) { + if (reader.readEntry(entry, line = reader.readLine()) === 0) break; + const field = pageFields[entry[0]]; + if (field) field(page); + } + this.pages.push(page); + } else { + const region = new TextureAtlasRegion(page, line); + while (true) { + const count = reader.readEntry(entry, line = reader.readLine()); + if (count === 0) break; + const field = regionFields[entry[0]]; + if (field) + field(region); + else { + if (!names) names = []; + if (!values) values = []; + names.push(entry[0]); + const entryValues = []; + for (let i = 0; i < count; i++) + entryValues.push(parseInt(entry[i + 1])); + values.push(entryValues); + } + } + if (region.originalWidth === 0 && region.originalHeight === 0) { + region.originalWidth = region.width; + region.originalHeight = region.height; + } + if (names && names.length > 0 && values && values.length > 0) { + region.names = names; + region.values = values; + names = null; + values = null; + } + region.u = region.x / page.width; + region.v = region.y / page.height; + if (region.degrees === 90) { + region.u2 = (region.x + region.height) / page.width; + region.v2 = (region.y + region.width) / page.height; + } else { + region.u2 = (region.x + region.width) / page.width; + region.v2 = (region.y + region.height) / page.height; + } + this.regions.push(region); + } + } + } + findRegion(name) { + for (let i = 0; i < this.regions.length; i++) { + if (this.regions[i].name === name) { + return this.regions[i]; + } + } + return null; + } + setTextures(assetManager, pathPrefix = "") { + for (const page of this.pages) + page.setTexture(assetManager.get(pathPrefix + page.name)); + } + dispose() { + for (let i = 0; i < this.pages.length; i++) { + this.pages[i].texture?.dispose(); + } + } + }; + var TextureAtlasReader = class { + lines; + index = 0; + constructor(text) { + this.lines = text.split(/\r\n|\r|\n/); + } + readLine() { + if (this.index >= this.lines.length) + return null; + return this.lines[this.index++]; + } + readEntry(entry, line) { + if (!line) return 0; + line = line.trim(); + if (line.length === 0) return 0; + const colon = line.indexOf(":"); + if (colon === -1) return 0; + entry[0] = line.substr(0, colon).trim(); + for (let i = 1, lastMatch = colon + 1; ; i++) { + const comma = line.indexOf(",", lastMatch); + if (comma === -1) { + entry[i] = line.substr(lastMatch).trim(); + return i; + } + entry[i] = line.substr(lastMatch, comma - lastMatch).trim(); + lastMatch = comma + 1; + if (i === 4) return 4; + } + } + }; + var TextureAtlasPage = class { + name; + minFilter = 9728 /* Nearest */; + magFilter = 9728 /* Nearest */; + uWrap = 33071 /* ClampToEdge */; + vWrap = 33071 /* ClampToEdge */; + texture = null; + width = 0; + height = 0; + pma = false; + regions = []; + constructor(name) { + this.name = name; + } + setTexture(texture) { + this.texture = texture; + texture.setFilters(this.minFilter, this.magFilter); + texture.setWraps(this.uWrap, this.vWrap); + for (const region of this.regions) + region.texture = texture; + } + }; + var TextureAtlasRegion = class extends TextureRegion { + page; + name; + x = 0; + y = 0; + offsetX = 0; + offsetY = 0; + originalWidth = 0; + originalHeight = 0; + index = 0; + degrees = 0; + names = null; + values = null; + constructor(page, name) { + super(); + this.page = page; + this.name = name; + page.regions.push(this); + } + }; + + // spine-core/src/attachments/Attachment.ts + var Attachment = class _Attachment { + static empty = []; + name; + /** Timelines for the timeline attachment are also applied to this attachment. + * @return May be null if no attachment-specific timelines should be applied. */ + timelineAttachment; + /** Slots that can have attachments whose {@link timelineAttachment} is this attachment. */ + timelineSlots = _Attachment.empty; + constructor(name) { + if (!name) throw new Error("name cannot be null."); + this.name = name; + this.timelineAttachment = this; + } + /** Returns true if the {@code slotIndex} or any {@link timelineSlots} have an attachment whose {@link timelineAttachment} is + * this attachment. + * @param slots The {@link Skeleton.slots}. + * @param slotIndex The timeline's primary slot index. */ + isTimelineActive(slots, slotIndex, appliedPose) { + let slot = slots[slotIndex]; + if (slot.bone.isActive()) { + const other = (appliedPose ? slot.getAppliedPose() : slot.getPose()).getAttachment(); + if (other != null && other.timelineAttachment === this) return true; + } + for (let i = 0, n = this.timelineSlots.length; i < n; i++) { + slot = slots[this.timelineSlots[i]]; + if (!slot.bone.isActive()) continue; + const other = (appliedPose ? slot.getAppliedPose() : slot.getPose()).getAttachment(); + if (other != null && other.timelineAttachment === this) return true; + } + return false; + } + }; + var VertexAttachment = class _VertexAttachment extends Attachment { + static nextID = 0; + /** The unique ID for this attachment. */ + id = _VertexAttachment.nextID++; + /** The bones that affect the {@link vertices}. The entries are, for each vertex, the number of bones affecting the vertex + * followed by that many bone indices, which is {@link Skeleton.getBones} index. Null if this attachment has no weights. */ + bones = null; + /** The vertex positions in the bone's coordinate system. For a non-weighted attachment, the values are `x,y` + * entries for each vertex. For a weighted attachment, the values are `x,y,weight` triplets for each bone affecting + * each vertex. */ + vertices = []; + /** The maximum number of world vertex values that can be output by + * {@link computeWorldVertices} using the `count` parameter. */ + worldVerticesLength = 0; + constructor(name) { + super(name); + } + /** Transforms the attachment's local {@link vertices} to world coordinates. If {@link SlotPose.getDeform} is not empty, it + * is used to deform the vertices. + * + * See World transforms in the Spine + * Runtimes Guide. + * @param start The index of the first {@link vertices} value to transform. Each vertex has 2 values, x and y. + * @param count The number of world vertex values to output. Must be <= {@link worldVerticesLength} - `start`. + * @param worldVertices The output world vertices. Must have a length >= `offset` + `count` * + * `stride` / 2. + * @param offset The `worldVertices` index to begin writing values. + * @param stride The number of `worldVertices` entries between the value pairs written. */ + computeWorldVertices(skeleton, slot, start, count, worldVertices2, offset, stride) { + count = offset + (count >> 1) * stride; + const deformArray = slot.appliedPose.deform; + let vertices = this.vertices; + const bones = this.bones; + if (!bones) { + if (deformArray.length > 0) vertices = deformArray; + const bone = slot.bone.appliedPose; + const x = bone.worldX; + const y = bone.worldY; + const a = bone.a, b = bone.b, c = bone.c, d = bone.d; + for (let v2 = start, w = offset; w < count; v2 += 2, w += stride) { + const vx = vertices[v2], vy = vertices[v2 + 1]; + worldVertices2[w] = vx * a + vy * b + x; + worldVertices2[w + 1] = vx * c + vy * d + y; + } + return; + } + let v = 0, skip = 0; + for (let i = 0; i < start; i += 2) { + const n = bones[v]; + v += n + 1; + skip += n; + } + const skeletonBones = skeleton.bones; + if (deformArray.length === 0) { + for (let w = offset, b = skip * 3; w < count; w += stride) { + let wx = 0, wy = 0; + let n = bones[v++]; + n += v; + for (; v < n; v++, b += 3) { + const bone = skeletonBones[bones[v]].appliedPose; + const vx = vertices[b], vy = vertices[b + 1], weight = vertices[b + 2]; + wx += (vx * bone.a + vy * bone.b + bone.worldX) * weight; + wy += (vx * bone.c + vy * bone.d + bone.worldY) * weight; + } + worldVertices2[w] = wx; + worldVertices2[w + 1] = wy; + } + } else { + const deform = deformArray; + for (let w = offset, b = skip * 3, f = skip << 1; w < count; w += stride) { + let wx = 0, wy = 0; + let n = bones[v++]; + n += v; + for (; v < n; v++, b += 3, f += 2) { + const bone = skeletonBones[bones[v]].appliedPose; + const vx = vertices[b] + deform[f], vy = vertices[b + 1] + deform[f + 1], weight = vertices[b + 2]; + wx += (vx * bone.a + vy * bone.b + bone.worldX) * weight; + wy += (vx * bone.c + vy * bone.d + bone.worldY) * weight; + } + worldVertices2[w] = wx; + worldVertices2[w + 1] = wy; + } + } + } + /** Does not copy id (generated) or name (set on construction). **/ + copyTo(attachment) { + if (this.bones) { + attachment.bones = []; + Utils.arrayCopy(this.bones, 0, attachment.bones, 0, this.bones.length); + } else + attachment.bones = null; + if (this.vertices) { + attachment.vertices = Utils.newFloatArray(this.vertices.length); + Utils.arrayCopy(this.vertices, 0, attachment.vertices, 0, this.vertices.length); + } + attachment.worldVerticesLength = this.worldVerticesLength; + attachment.timelineAttachment = this.timelineAttachment; + attachment.timelineSlots = this.timelineSlots; + } + }; + + // spine-core/src/attachments/MeshAttachment.ts + var MeshAttachment = class _MeshAttachment extends VertexAttachment { + sequence; + /** The UV pair for each vertex, normalized within the texture region. */ + regionUVs = []; + /** Triplets of vertex indices which describe the mesh's triangulation. */ + triangles = []; + /** The number of entries at the beginning of {@link vertices} that make up the mesh hull. */ + hullLength = 0; + /** The name of the texture region for this attachment. */ + path; + /** The color to tint the mesh. */ + color = new Color(1, 1, 1, 1); + sourceMesh = null; + /** Vertex index pairs describing edges for controlling triangulation, or null if nonessential data was not exported. Mesh + * triangles do not never cross edges. Triangulation is not performed at runtime. */ + edges = []; + /** The width of the mesh's image. Available only when nonessential data was exported. */ + width = 0; + /** The height of the mesh's image. Available only when nonessential data was exported. */ + height = 0; + tempColor = new Color(0, 0, 0, 0); + constructor(name, sequence) { + super(name); + this.sequence = sequence; + } + copy() { + if (this.sourceMesh) return this.newLinkedMesh(); + const copy = new _MeshAttachment(this.name, this.sequence.copy()); + copy.path = this.path; + copy.color.setFromColor(this.color); + this.copyTo(copy); + copy.regionUVs = []; + Utils.arrayCopy(this.regionUVs, 0, copy.regionUVs, 0, this.regionUVs.length); + copy.triangles = []; + Utils.arrayCopy(this.triangles, 0, copy.triangles, 0, this.triangles.length); + copy.hullLength = this.hullLength; + if (this.edges) { + copy.edges = []; + Utils.arrayCopy(this.edges, 0, copy.edges, 0, this.edges.length); + } + copy.width = this.width; + copy.height = this.height; + return copy; + } + updateSequence() { + this.sequence.update(this); + } + /** The source mesh if this is a linked mesh, else null. A linked mesh shares the {@link bones}, {@link vertices}, + * {@link regionUVs}, {@link triangles}, {@link hullLength}, {@link edges}, {@link width}, and {@link height} with the + * source mesh, but may have a different {@link name} or {@link path}, and therefore a different texture region. */ + getSourceMesh() { + return this.sourceMesh; + } + setSourceMesh(sourceMesh) { + this.sourceMesh = sourceMesh; + if (sourceMesh) { + this.bones = sourceMesh.bones; + this.vertices = sourceMesh.vertices; + this.worldVerticesLength = sourceMesh.worldVerticesLength; + this.regionUVs = sourceMesh.regionUVs; + this.triangles = sourceMesh.triangles; + this.hullLength = sourceMesh.hullLength; + this.worldVerticesLength = sourceMesh.worldVerticesLength; + this.edges = sourceMesh.edges; + this.width = sourceMesh.width; + this.height = sourceMesh.height; + } + } + /** Returns a new mesh with the {@link sourceMesh} set to this mesh's source mesh, if any, else to this mesh. **/ + newLinkedMesh() { + const copy = new _MeshAttachment(this.name, this.sequence.copy()); + copy.timelineAttachment = this.timelineAttachment; + copy.path = this.path; + copy.color.setFromColor(this.color); + copy.setSourceMesh(this.sourceMesh ? this.sourceMesh : this); + copy.updateSequence(); + return copy; + } + /** Computes {@link Sequence.getUVs | UVs} for a mesh attachment. + * @param uvs Output array for the computed UVs, same length as regionUVs. */ + static computeUVs(region, regionUVs, uvs) { + if (!region) throw new Error("Region not set."); + const n = uvs.length; + let u = region.u, v = region.v, width = 0, height = 0; + if (region instanceof TextureAtlasRegion) { + const page = region.page; + const textureWidth = page.width, textureHeight = page.height; + switch (region.degrees) { + case 90: + u -= (region.originalHeight - region.offsetY - region.height) / textureWidth; + v -= (region.originalWidth - region.offsetX - region.width) / textureHeight; + width = region.originalHeight / textureWidth; + height = region.originalWidth / textureHeight; + for (let i = 0; i < n; i += 2) { + uvs[i] = u + regionUVs[i + 1] * width; + uvs[i + 1] = v + (1 - regionUVs[i]) * height; + } + return; + case 180: + u -= (region.originalWidth - region.offsetX - region.width) / textureWidth; + v -= region.offsetY / textureHeight; + width = region.originalWidth / textureWidth; + height = region.originalHeight / textureHeight; + for (let i = 0; i < n; i += 2) { + uvs[i] = u + (1 - regionUVs[i]) * width; + uvs[i + 1] = v + (1 - regionUVs[i + 1]) * height; + } + return; + case 270: + u -= region.offsetY / textureWidth; + v -= region.offsetX / textureHeight; + width = region.originalHeight / textureWidth; + height = region.originalWidth / textureHeight; + for (let i = 0; i < n; i += 2) { + uvs[i] = u + (1 - regionUVs[i + 1]) * width; + uvs[i + 1] = v + regionUVs[i] * height; + } + return; + default: + u -= region.offsetX / textureWidth; + v -= (region.originalHeight - region.offsetY - region.height) / textureHeight; + width = region.originalWidth / textureWidth; + height = region.originalHeight / textureHeight; + } + } else if (!region) { + u = v = 0; + width = height = 1; + } else { + width = region.u2 - u; + height = region.v2 - v; + } + for (let i = 0; i < n; i += 2) { + uvs[i] = u + regionUVs[i] * width; + uvs[i + 1] = v + regionUVs[i + 1] * height; + } + } + }; + + // spine-core/src/attachments/RegionAttachment.ts + var RegionAttachment = class _RegionAttachment extends Attachment { + sequence; + /** The local x translation. */ + x = 0; + /** The local y translation. */ + y = 0; + /** The local scaleX. */ + scaleX = 1; + /** The local scaleY. */ + scaleY = 1; + /** The local rotation in degrees, counter clockwise. */ + rotation = 0; + /** The width of the region attachment in Spine. */ + width = 0; + /** The height of the region attachment in Spine. */ + height = 0; + /** The name of the texture region for this attachment. */ + path; + /** The color to tint the region attachment. */ + color = new Color(1, 1, 1, 1); + tempColor = new Color(1, 1, 1, 1); + constructor(name, sequence) { + super(name); + this.sequence = sequence; + } + copy() { + const copy = new _RegionAttachment(this.name, this.sequence.copy()); + copy.path = this.path; + copy.x = this.x; + copy.y = this.y; + copy.scaleX = this.scaleX; + copy.scaleY = this.scaleY; + copy.rotation = this.rotation; + copy.width = this.width; + copy.height = this.height; + copy.color.setFromColor(this.color); + return copy; + } + /** Transforms the attachment's four vertices to world coordinates. + * + * See World transforms in the Spine + * Runtimes Guide. + * @param worldVertices The output world vertices. Must have a length >= `offset` + 8. + * @param offset The `worldVertices` index to begin writing values. + * @param stride The number of `worldVertices` entries between the value pairs written. */ + computeWorldVertices(slot, vertexOffsets, worldVertices2, offset, stride) { + const bone = slot.bone.appliedPose; + const x = bone.worldX, y = bone.worldY; + const a = bone.a, b = bone.b, c = bone.c, d = bone.d; + let offsetX = vertexOffsets[0]; + let offsetY = vertexOffsets[1]; + worldVertices2[offset] = offsetX * a + offsetY * b + x; + worldVertices2[offset + 1] = offsetX * c + offsetY * d + y; + offset += stride; + offsetX = vertexOffsets[2]; + offsetY = vertexOffsets[3]; + worldVertices2[offset] = offsetX * a + offsetY * b + x; + worldVertices2[offset + 1] = offsetX * c + offsetY * d + y; + offset += stride; + offsetX = vertexOffsets[4]; + offsetY = vertexOffsets[5]; + worldVertices2[offset] = offsetX * a + offsetY * b + x; + worldVertices2[offset + 1] = offsetX * c + offsetY * d + y; + offset += stride; + offsetX = vertexOffsets[6]; + offsetY = vertexOffsets[7]; + worldVertices2[offset] = offsetX * a + offsetY * b + x; + worldVertices2[offset + 1] = offsetX * c + offsetY * d + y; + } + getOffsets(pose) { + return this.sequence.offsets[this.sequence.resolveIndex(pose)]; + } + updateSequence() { + this.sequence.update(this); + } + /** Computes {@link Sequence.getUVs | UVs} and {@link Sequence.getOffsets | offsets} for a region attachment. + * @param uvs Output array for the computed UVs, length of 8. + * @param offset Output array for the computed vertex offsets, length of 8. */ + static computeUVs(region, x, y, scaleX, scaleY, rotation, width, height, offset, uvs) { + if (!region) throw new Error("Region not set."); + const regionScaleX = width / region.originalWidth * scaleX; + const regionScaleY = height / region.originalHeight * scaleY; + const localX = -width / 2 * scaleX + region.offsetX * regionScaleX; + const localY = -height / 2 * scaleY + region.offsetY * regionScaleY; + const localX2 = localX + region.width * regionScaleX; + const localY2 = localY + region.height * regionScaleY; + const radians = rotation * MathUtils.degRad; + const cos = Math.cos(radians); + const sin = Math.sin(radians); + const localXCos = localX * cos + x; + const localXSin = localX * sin; + const localYCos = localY * cos + y; + const localYSin = localY * sin; + const localX2Cos = localX2 * cos + x; + const localX2Sin = localX2 * sin; + const localY2Cos = localY2 * cos + y; + const localY2Sin = localY2 * sin; + offset[0] = localXCos - localYSin; + offset[1] = localYCos + localXSin; + offset[2] = localXCos - localY2Sin; + offset[3] = localY2Cos + localXSin; + offset[4] = localX2Cos - localY2Sin; + offset[5] = localY2Cos + localX2Sin; + offset[6] = localX2Cos - localYSin; + offset[7] = localYCos + localX2Sin; + if (region == null) { + uvs[0] = 0; + uvs[1] = 0; + uvs[2] = 0; + uvs[3] = 1; + uvs[4] = 1; + uvs[5] = 1; + uvs[6] = 1; + uvs[7] = 0; + } else { + uvs[1] = region.v2; + uvs[2] = region.u; + uvs[5] = region.v; + uvs[6] = region.u2; + if (region.degrees === 90) { + uvs[0] = region.u2; + uvs[3] = region.v2; + uvs[4] = region.u; + uvs[7] = region.v; + } else { + uvs[0] = region.u; + uvs[3] = region.v; + uvs[4] = region.u2; + uvs[7] = region.v2; + } + } + } + static X1 = 0; + static Y1 = 1; + static C1R = 2; + static C1G = 3; + static C1B = 4; + static C1A = 5; + static U1 = 6; + static V1 = 7; + static X2 = 8; + static Y2 = 9; + static C2R = 10; + static C2G = 11; + static C2B = 12; + static C2A = 13; + static U2 = 14; + static V2 = 15; + static X3 = 16; + static Y3 = 17; + static C3R = 18; + static C3G = 19; + static C3B = 20; + static C3A = 21; + static U3 = 22; + static V3 = 23; + static X4 = 24; + static Y4 = 25; + static C4R = 26; + static C4G = 27; + static C4B = 28; + static C4A = 29; + static U4 = 30; + static V4 = 31; + }; + + // spine-core/src/attachments/Sequence.ts + var Sequence = class _Sequence { + static _nextID = 0; + id = _Sequence.nextID(); + /** The list of texture regions this sequence will display. */ + regions; + pathSuffix; + uvs; + /** Returns vertex offsets from the center of a {@link RegionAttachment}. Invalid to call for a {@link MeshAttachment}. */ + offsets; + /** The starting number for the numeric {@link getPath | path} suffix. */ + start = 0; + /** The minimum number of digits in the numeric {@link getPath | path} suffix, for zero padding. 0 for no zero + * padding. */ + digits = 0; + /** The index of the region to show for the setup pose. */ + setupIndex = 0; + /** @param count The number of texture regions this sequence will display. + * @param pathSuffix If true, the {@link getPath | path} has a numeric suffix. If false, all regions will use the + * same path, so `count` should be 1. */ + constructor(count, pathSuffix) { + this.regions = new Array(count); + this.pathSuffix = pathSuffix; + } + copy() { + const regionCount = this.regions.length; + const copy = new _Sequence(regionCount, this.pathSuffix); + Utils.arrayCopy(this.regions, 0, copy.regions, 0, regionCount); + copy.start = this.start; + copy.digits = this.digits; + copy.setupIndex = this.setupIndex; + if (this.uvs != null) { + const length = this.uvs[0].length; + copy.uvs = []; + for (let i = 0; i < regionCount; i++) { + copy.uvs[i] = Utils.newFloatArray(length); + Utils.arrayCopy(this.uvs[i], 0, copy.uvs[i], 0, length); + } + } + if (this.offsets != null) { + copy.offsets = []; + for (let i = 0; i < regionCount; i++) { + copy.offsets[i] = []; + Utils.arrayCopy(this.offsets[i], 0, copy.offsets[i], 0, 8); + } + } + return copy; + } + /** Computes UVs and offsets for the specified attachment. Must be called if the regions or attachment properties are + * changed. */ + update(attachment) { + const regionCount = this.regions.length; + if (attachment instanceof RegionAttachment) { + this.uvs = []; + this.offsets = []; + for (let i = 0; i < regionCount; i++) { + this.uvs[i] = Utils.newFloatArray(8); + this.offsets[i] = []; + RegionAttachment.computeUVs( + this.regions[i], + attachment.x, + attachment.y, + attachment.scaleX, + attachment.scaleY, + attachment.rotation, + attachment.width, + attachment.height, + this.offsets[i], + this.uvs[i] + ); + } + } else if (attachment instanceof MeshAttachment) { + const regionUVs = attachment.regionUVs; + this.uvs = []; + this.offsets = void 0; + for (let i = 0; i < regionCount; i++) { + this.uvs[i] = Utils.newFloatArray(regionUVs.length); + MeshAttachment.computeUVs(this.regions[i], regionUVs, this.uvs[i]); + } + } + } + /** Returns the {@link regions} index for the {@link SlotPose.getSequenceIndex}. */ + resolveIndex(pose) { + let index = pose.sequenceIndex; + if (index === -1) index = this.setupIndex; + if (index >= this.regions.length) index = this.regions.length - 1; + return index; + } + /** Returns the UVs for the specified index. {@link regions Regions} must be populated and {@link update} called + * before calling this method. */ + getUVs(index) { + return this.uvs[index]; + } + /** Returns true if the {@link getPath | path} has a numeric suffix. */ + hasPathSuffix() { + return this.pathSuffix; + } + /** Returns the specified base path with an optional numeric suffix for the specified index. */ + getPath(basePath, index) { + if (!this.pathSuffix) return basePath; + let result = basePath; + const frame = (this.start + index).toString(); + for (let i = this.digits - frame.length; i > 0; i--) + result += "0"; + result += frame; + return result; + } + static nextID() { + return _Sequence._nextID++; + } + }; + var SequenceMode = /* @__PURE__ */ ((SequenceMode2) => { + SequenceMode2[SequenceMode2["hold"] = 0] = "hold"; + SequenceMode2[SequenceMode2["once"] = 1] = "once"; + SequenceMode2[SequenceMode2["loop"] = 2] = "loop"; + SequenceMode2[SequenceMode2["pingpong"] = 3] = "pingpong"; + SequenceMode2[SequenceMode2["onceReverse"] = 4] = "onceReverse"; + SequenceMode2[SequenceMode2["loopReverse"] = 5] = "loopReverse"; + SequenceMode2[SequenceMode2["pingpongReverse"] = 6] = "pingpongReverse"; + return SequenceMode2; + })(SequenceMode || {}); + var SequenceModeValues = [ + 0 /* hold */, + 1 /* once */, + 2 /* loop */, + 3 /* pingpong */, + 4 /* onceReverse */, + 5 /* loopReverse */, + 6 /* pingpongReverse */ + ]; + + // spine-core/src/Animation.ts + var Animation = class { + /** The animation's name, unique across all animations in the skeleton. + * + * See {@link SkeletonData.findAnimation}. */ + name; + /** The duration of the animation in seconds, which is usually the highest time of all frames in the timelines. The duration is + * used to know when the animation has completed and, for animations that repeat, when it should loop back to the start. */ + timelines = []; + timelineIds; + /** {@link Skeleton.getBones} indices that this animation's timelines modify. + * + * See {@link BoneTimeline.bones}. */ + bones; + // Nonessential. + /** The color of the animation as it was in Spine, or a default color if nonessential data was not exported. */ + color = new Color(1, 1, 1, 1); + /** The duration of the animation in seconds, which is usually the highest time of all frames in the timeline. The duration is + * used to know when it has completed and when it should loop back to the start. */ + duration; + constructor(name, timelines, duration) { + if (!name) throw new Error("name cannot be null."); + this.name = name; + this.duration = duration; + this.timelineIds = new StringSet(); + this.bones = []; + this.setTimelines(timelines); + } + setTimelines(timelines) { + if (!timelines) throw new Error("timelines cannot be null."); + this.timelines = timelines; + const n = timelines.length; + this.timelineIds.clear(); + this.bones.length = 0; + const boneSet = /* @__PURE__ */ new Set(); + const items = timelines; + for (let i = 0; i < n; i++) { + const timeline = items[i]; + this.timelineIds.addAll(timeline.propertyIds); + if (isBoneTimeline(timeline) && boneSet.add(timeline.boneIndex)) + this.bones.push(timeline.boneIndex); + } + } + /** Returns true if this animation contains a timeline with any of the specified property IDs. + * + * See {@link Timeline.propertyIds}. */ + hasTimeline(ids) { + for (let i = 0; i < ids.length; i++) + if (this.timelineIds.contains(ids[i])) return true; + return false; + } + /** Applies the animation's timelines to the specified skeleton. + * + * See {@link Timeline.apply} and + * Applying Animations in the Spine Runtimes + * Guide. + * @param skeleton The skeleton the animation is applied to. This provides access to the bones, slots, and other skeleton + * components the timelines may change. + * @param lastTime The last time in seconds this animation was applied. Some timelines trigger only at discrete times, in which + * case all keys are triggered between `lastTime` (exclusive) and `time` (inclusive). Pass -1 + * the first time an animation is applied to ensure frame 0 is triggered. + * @param time The time in seconds the skeleton is being posed for. Timelines find the frame before and after this time and + * interpolate between the frame values. + * @param loop True if `time` beyond the {@link duration} repeats the animation, else the last frame is used. + * @param events If any events are fired, they are added to this list. Pass null to ignore fired events or if no timelines fire + * events. + * @param alpha 0 applies setup or current values (depending on `from`), 1 uses timeline values, and intermediate + * values interpolate between them. Adjusting `alpha` over time can mix an animation in or out. + * @param from Controls how `alpha` and `add` mix from current or setup pose values to timeline values. + * @param add If true, for timelines that support it, their values are added to the setup or current values (depending on + * `from`). + * @param out True when the animation is mixing out, else it is mixing in. Used by timelines that perform instant transitions. + * @param appliedPose True to modify {@link Posed.appliedPose}, else {@link Posed.pose} is modified. */ + apply(skeleton, lastTime, time, loop, events, alpha, from, add, out, appliedPose) { + if (!skeleton) throw new Error("skeleton cannot be null."); + if (loop && this.duration !== 0) { + time %= this.duration; + if (lastTime > 0) lastTime %= this.duration; + } + const timelines = this.timelines; + for (let i = 0, n = timelines.length; i < n; i++) + timelines[i].apply(skeleton, lastTime, time, events, alpha, from, add, out, appliedPose); + } + }; + var MixFrom = /* @__PURE__ */ ((MixFrom2) => { + MixFrom2[MixFrom2["current"] = 0] = "current"; + MixFrom2[MixFrom2["setup"] = 1] = "setup"; + MixFrom2[MixFrom2["first"] = 2] = "first"; + return MixFrom2; + })(MixFrom || {}); + var Property = /* @__PURE__ */ ((Property2) => { + Property2[Property2["rotate"] = 0] = "rotate"; + Property2[Property2["x"] = 1] = "x"; + Property2[Property2["y"] = 2] = "y"; + Property2[Property2["scaleX"] = 3] = "scaleX"; + Property2[Property2["scaleY"] = 4] = "scaleY"; + Property2[Property2["shearX"] = 5] = "shearX"; + Property2[Property2["shearY"] = 6] = "shearY"; + Property2[Property2["inherit"] = 7] = "inherit"; + Property2[Property2["rgb"] = 8] = "rgb"; + Property2[Property2["alpha"] = 9] = "alpha"; + Property2[Property2["rgb2"] = 10] = "rgb2"; + Property2[Property2["attachment"] = 11] = "attachment"; + Property2[Property2["deform"] = 12] = "deform"; + Property2[Property2["event"] = 13] = "event"; + Property2[Property2["drawOrder"] = 14] = "drawOrder"; + Property2[Property2["drawOrderFolder"] = 15] = "drawOrderFolder"; + Property2[Property2["ikConstraint"] = 16] = "ikConstraint"; + Property2[Property2["transformConstraint"] = 17] = "transformConstraint"; + Property2[Property2["pathConstraintPosition"] = 18] = "pathConstraintPosition"; + Property2[Property2["pathConstraintSpacing"] = 19] = "pathConstraintSpacing"; + Property2[Property2["pathConstraintMix"] = 20] = "pathConstraintMix"; + Property2[Property2["physicsConstraintInertia"] = 21] = "physicsConstraintInertia"; + Property2[Property2["physicsConstraintStrength"] = 22] = "physicsConstraintStrength"; + Property2[Property2["physicsConstraintDamping"] = 23] = "physicsConstraintDamping"; + Property2[Property2["physicsConstraintMass"] = 24] = "physicsConstraintMass"; + Property2[Property2["physicsConstraintWind"] = 25] = "physicsConstraintWind"; + Property2[Property2["physicsConstraintGravity"] = 26] = "physicsConstraintGravity"; + Property2[Property2["physicsConstraintMix"] = 27] = "physicsConstraintMix"; + Property2[Property2["physicsConstraintReset"] = 28] = "physicsConstraintReset"; + Property2[Property2["sequence"] = 29] = "sequence"; + Property2[Property2["sliderTime"] = 30] = "sliderTime"; + Property2[Property2["sliderMix"] = 31] = "sliderMix"; + return Property2; + })(Property || {}); + var Timeline = class { + propertyIds; + frames; + /** True if this timeline supports being applied additively. + * + * See the `add` parameter in {@link Timeline.apply}. */ + additive = false; + /** True if this timeline sets values instantaneously and does not support interpolation between frames. */ + instant = false; + constructor(frameCount, ...propertyIds) { + this.propertyIds = propertyIds; + this.frames = Utils.newFloatArray(frameCount * this.getFrameEntries()); + } + getPropertyIds() { + return this.propertyIds; + } + /** The number of values stored per frame. */ + getFrameEntries() { + return 1; + } + /** The number of frames in this timeline. */ + getFrameCount() { + return this.frames.length / this.getFrameEntries(); + } + /** The duration of the timeline in seconds, which is usually the highest time of all frames in the timeline. */ + getDuration() { + return this.frames[this.frames.length - this.getFrameEntries()]; + } + /** Linear search using the specified stride (default 1). + * @param time Must be >= the first value in `frames`. + * @return The index of the first value <= `time`. */ + static search(frames, time, step = 1) { + const n = frames.length; + for (let i = step; i < n; i += step) + if (frames[i] > time) return i - step; + return n - step; + } + }; + function isSlotTimeline(obj) { + return typeof obj === "object" && obj !== null && typeof obj.slotIndex === "number"; + } + var CurveTimeline = class extends Timeline { + curves; + // type, x, y, ... + constructor(frameCount, bezierCount, ...propertyIds) { + super(frameCount, ...propertyIds); + this.curves = Utils.newFloatArray( + frameCount + bezierCount * 18 + /*BEZIER_SIZE*/ + ); + this.curves[frameCount - 1] = 1; + } + /** Sets the specified key frame to linear interpolation. */ + setLinear(frame) { + this.curves[frame] = 0; + } + /** Sets the specified key frame to stepped interpolation. */ + setStepped(frame) { + this.curves[frame] = 1; + } + /** Shrinks the storage for Bezier curves, for use when `bezierCount` (specified in the constructor) was larger + * than the actual number of Bezier curves. */ + shrink(bezierCount) { + const size = this.getFrameCount() + bezierCount * 18; + if (this.curves.length > size) { + const newCurves = Utils.newFloatArray(size); + Utils.arrayCopy(this.curves, 0, newCurves, 0, size); + this.curves = newCurves; + } + } + /** Stores the segments for the specified Bezier curve. For timelines that modify multiple values, there may be more than + * one curve per frame. + * @param bezier The ordinal of this Bezier curve for this timeline, between 0 and `bezierCount - 1` (specified + * in the constructor), inclusive. + * @param frame Between 0 and `frameCount - 1`, inclusive. + * @param value The index of the value for this frame that this curve is used for. + * @param time1 The time for the first key. + * @param value1 The value for the first key. + * @param cx1 The time for the first Bezier handle. + * @param cy1 The value for the first Bezier handle. + * @param cx2 The time of the second Bezier handle. + * @param cy2 The value for the second Bezier handle. + * @param time2 The time for the second key. + * @param value2 The value for the second key. */ + setBezier(bezier, frame, value, time1, value1, cx1, cy1, cx2, cy2, time2, value2) { + const curves = this.curves; + let i = this.getFrameCount() + bezier * 18; + if (value === 0) curves[frame] = 2 + i; + const tmpx = (time1 - cx1 * 2 + cx2) * 0.03, tmpy = (value1 - cy1 * 2 + cy2) * 0.03; + const dddx = ((cx1 - cx2) * 3 - time1 + time2) * 6e-3, dddy = ((cy1 - cy2) * 3 - value1 + value2) * 6e-3; + let ddx = tmpx * 2 + dddx, ddy = tmpy * 2 + dddy; + let dx = (cx1 - time1) * 0.3 + tmpx + dddx * 0.16666667, dy = (cy1 - value1) * 0.3 + tmpy + dddy * 0.16666667; + let x = time1 + dx, y = value1 + dy; + for (let n = i + 18; i < n; i += 2) { + curves[i] = x; + curves[i + 1] = y; + dx += ddx; + dy += ddy; + ddx += dddx; + ddy += dddy; + x += dx; + y += dy; + } + } + /** Returns the Bezier interpolated value for the specified time. + * @param frameIndex The index into {@link frames} for the values of the frame before `time`. + * @param valueOffset The offset from `frameIndex` to the value this curve is used for. + * @param i The index of the Bezier segments. See {@link getCurveType}. */ + getBezierValue(time, frameIndex, valueOffset, i) { + const curves = this.curves; + if (curves[i] > time) { + const x2 = this.frames[frameIndex], y2 = this.frames[frameIndex + valueOffset]; + return y2 + (time - x2) / (curves[i] - x2) * (curves[i + 1] - y2); + } + const n = i + 18; + for (i += 2; i < n; i += 2) { + if (curves[i] >= time) { + const x2 = curves[i - 2], y2 = curves[i - 1]; + return y2 + (time - x2) / (curves[i] - x2) * (curves[i + 1] - y2); + } + } + frameIndex += this.getFrameEntries(); + const x = curves[n - 2], y = curves[n - 1]; + return y + (time - x) / (this.frames[frameIndex] - x) * (this.frames[frameIndex + valueOffset] - y); + } + }; + var CurveTimeline1 = class _CurveTimeline1 extends CurveTimeline { + constructor(frameCount, bezierCount, propertyId) { + super(frameCount, bezierCount, propertyId); + } + getFrameEntries() { + return 2; + } + /** Sets the time and value for the specified frame. + * @param frame Between 0 and `frameCount`, inclusive. + * @param time The frame time in seconds. */ + setFrame(frame, time, value) { + frame <<= 1; + this.frames[frame] = time; + this.frames[ + frame + 1 + /*VALUE*/ + ] = value; + } + /** Returns the interpolated value for the specified time. */ + getCurveValue(time) { + const frames = this.frames; + let i = frames.length - 2; + for (let ii = 2; ii <= i; ii += 2) { + if (frames[ii] > time) { + i = ii - 2; + break; + } + } + const curveType = this.curves[i >> 1]; + switch (curveType) { + case 0: { + const before = frames[i], value = frames[ + i + 1 + /*VALUE*/ + ]; + return value + (time - before) / (frames[ + i + 2 + /*ENTRIES*/ + ] - before) * (frames[ + i + 2 + 1 + /*VALUE*/ + ] - value); + } + case 1: + return frames[ + i + 1 + /*VALUE*/ + ]; + } + return this.getBezierValue( + time, + i, + 1, + curveType - 2 + /*BEZIER*/ + ); + } + /** Returns the interpolated value for properties relative to the setup value. The timeline value is added to the setup + * value, rather than replacing it. + * + * See {@link Timeline.apply}. + * @param current The current value for the property. + * @param setup The setup value for the property. */ + getRelativeValue(time, alpha, from, add, current, setup) { + if (time < this.frames[0]) return _CurveTimeline1.beforeFirstKey(from, alpha, current, setup); + const value = this.getCurveValue(time); + return from === 1 /* setup */ ? setup + value * alpha : current + (add ? value : value + setup - current) * alpha; + } + getAbsoluteValue(time, alpha, from, add, current, setup, value) { + if (value === void 0) + return this.getAbsoluteValue1(time, alpha, from, add, current, setup); + else + return this.getAbsoluteValue2(time, alpha, from, add, current, setup, value); + } + getAbsoluteValue1(time, alpha, from, add, current, setup) { + if (time < this.frames[0]) return _CurveTimeline1.beforeFirstKey(from, alpha, current, setup); + const value = this.getCurveValue(time); + return from === 1 /* setup */ ? setup + (add ? value : value - setup) * alpha : current + (add ? value : value - current) * alpha; + } + getAbsoluteValue2(time, alpha, from, add, current, setup, value) { + if (time < this.frames[0]) return _CurveTimeline1.beforeFirstKey(from, alpha, current, setup); + return from === 1 /* setup */ ? setup + (add ? value : value - setup) * alpha : current + (add ? value : value - current) * alpha; + } + /** Returns the interpolated value for scale properties. The timeline and setup values are multiplied and sign adjusted. + * + * See {@link Timeline.apply}. + * @param current The current value for the property. + * @param setup The setup value for the property. */ + getScaleValue(time, alpha, from, add, out, current, setup) { + if (time < this.frames[0]) return _CurveTimeline1.beforeFirstKey(from, alpha, current, setup); + const value = this.getCurveValue(time) * setup; + if (alpha === 1 && !add) return value; + let base = from === 1 /* setup */ ? setup : current; + if (add) return base + (value - setup) * alpha; + if (out) return base + (Math.abs(value) * Math.sign(base) - base) * alpha; + base = Math.abs(base) * Math.sign(value); + return base + (value - base) * alpha; + } + static beforeFirstKey(from, alpha, current, setup) { + switch (from) { + case 1 /* setup */: + return setup; + case 2 /* first */: + return current + (setup - current) * alpha; + case 0 /* current */: + return current; + } + } + }; + function isBoneTimeline(obj) { + return typeof obj === "object" && obj !== null && typeof obj.boneIndex === "number"; + } + var BoneTimeline1 = class extends CurveTimeline1 { + boneIndex; + constructor(frameCount, bezierCount, boneIndex, property) { + super(frameCount, bezierCount, `${property}|${boneIndex}`); + this.boneIndex = boneIndex; + this.additive = true; + } + apply(skeleton, lastTime, time, events, alpha, from, add, out, appliedPose) { + const bone = skeleton.bones[this.boneIndex]; + if (bone.active) + this.apply1(appliedPose ? bone.appliedPose : bone.pose, bone.data.setupPose, time, alpha, from, add, out); + } + }; + var BoneTimeline2 = class extends CurveTimeline { + boneIndex; + /** @param bezierCount The maximum number of Bezier curves. See {@link shrink}. + * @param propertyIds Unique identifiers for the properties the timeline modifies. */ + constructor(frameCount, bezierCount, boneIndex, property1, property2) { + super(frameCount, bezierCount, `${property1}|${boneIndex}`, `${property2}|${boneIndex}`); + this.boneIndex = boneIndex; + this.additive = true; + } + getFrameEntries() { + return 3; + } + /** Sets the time and values for the specified frame. + * @param frame Between 0 and `frameCount`, inclusive. + * @param time The frame time in seconds. */ + setFrame(frame, time, value1, value2) { + frame *= 3; + this.frames[frame] = time; + this.frames[ + frame + 1 + /*VALUE1*/ + ] = value1; + this.frames[ + frame + 2 + /*VALUE2*/ + ] = value2; + } + apply(skeleton, lastTime, time, events, alpha, from, add, out, appliedPose) { + const bone = skeleton.bones[this.boneIndex]; + if (bone.active) + this.apply1(appliedPose ? bone.appliedPose : bone.pose, bone.data.setupPose, time, alpha, from, add, out); + } + }; + var RotateTimeline = class extends BoneTimeline1 { + constructor(frameCount, bezierCount, boneIndex) { + super(frameCount, bezierCount, boneIndex, 0 /* rotate */); + } + apply1(pose, setup, time, alpha, from, add, out) { + pose.rotation = this.getRelativeValue(time, alpha, from, add, pose.rotation, setup.rotation); + } + }; + var TranslateTimeline = class extends BoneTimeline2 { + constructor(frameCount, bezierCount, boneIndex) { + super(frameCount, bezierCount, boneIndex, 1 /* x */, 2 /* y */); + } + apply1(pose, setup, time, alpha, from, add, out) { + const frames = this.frames; + if (time < frames[0]) { + switch (from) { + case 1 /* setup */: + pose.x = setup.x; + pose.y = setup.y; + break; + case 2 /* first */: + pose.x += (setup.x - pose.x) * alpha; + pose.y += (setup.y - pose.y) * alpha; + break; + } + return; + } + let x = 0, y = 0; + const i = Timeline.search( + frames, + time, + 3 + /*ENTRIES*/ + ); + const curveType = this.curves[ + i / 3 + /*ENTRIES*/ + ]; + switch (curveType) { + case 0: { + const before = frames[i]; + x = frames[ + i + 1 + /*VALUE1*/ + ]; + y = frames[ + i + 2 + /*VALUE2*/ + ]; + const t = (time - before) / (frames[ + i + 3 + /*ENTRIES*/ + ] - before); + x += (frames[ + i + 3 + 1 + /*VALUE1*/ + ] - x) * t; + y += (frames[ + i + 3 + 2 + /*VALUE2*/ + ] - y) * t; + break; + } + case 1: + x = frames[ + i + 1 + /*VALUE1*/ + ]; + y = frames[ + i + 2 + /*VALUE2*/ + ]; + break; + default: + x = this.getBezierValue( + time, + i, + 1, + curveType - 2 + /*BEZIER*/ + ); + y = this.getBezierValue( + time, + i, + 2, + curveType + 18 - 2 + /*BEZIER*/ + ); + } + if (from === 1 /* setup */) { + pose.x = setup.x + x * alpha; + pose.y = setup.y + y * alpha; + } else if (add) { + pose.x += x * alpha; + pose.y += y * alpha; + } else { + pose.x += (setup.x + x - pose.x) * alpha; + pose.y += (setup.y + y - pose.y) * alpha; + } + } + }; + var TranslateXTimeline = class extends BoneTimeline1 { + constructor(frameCount, bezierCount, boneIndex) { + super(frameCount, bezierCount, boneIndex, 1 /* x */); + } + apply1(pose, setup, time, alpha, from, add, out) { + pose.x = this.getRelativeValue(time, alpha, from, add, pose.x, setup.x); + } + }; + var TranslateYTimeline = class extends BoneTimeline1 { + constructor(frameCount, bezierCount, boneIndex) { + super(frameCount, bezierCount, boneIndex, 2 /* y */); + } + apply1(pose, setup, time, alpha, from, add, out) { + pose.y = this.getRelativeValue(time, alpha, from, add, pose.y, setup.y); + } + }; + var ScaleTimeline = class extends BoneTimeline2 { + constructor(frameCount, bezierCount, boneIndex) { + super(frameCount, bezierCount, boneIndex, 3 /* scaleX */, 4 /* scaleY */); + } + apply1(pose, setup, time, alpha, from, add, out) { + const frames = this.frames; + if (time < frames[0]) { + switch (from) { + case 1 /* setup */: + pose.scaleX = setup.scaleX; + pose.scaleY = setup.scaleY; + break; + case 2 /* first */: + pose.scaleX += (setup.scaleX - pose.scaleX) * alpha; + pose.scaleY += (setup.scaleY - pose.scaleY) * alpha; + break; + } + return; + } + let x, y; + const i = Timeline.search( + frames, + time, + 3 + /*ENTRIES*/ + ); + const curveType = this.curves[ + i / 3 + /*ENTRIES*/ + ]; + switch (curveType) { + case 0: { + const before = frames[i]; + x = frames[ + i + 1 + /*VALUE1*/ + ]; + y = frames[ + i + 2 + /*VALUE2*/ + ]; + const t = (time - before) / (frames[ + i + 3 + /*ENTRIES*/ + ] - before); + x += (frames[ + i + 3 + 1 + /*VALUE1*/ + ] - x) * t; + y += (frames[ + i + 3 + 2 + /*VALUE2*/ + ] - y) * t; + break; + } + case 1: + x = frames[ + i + 1 + /*VALUE1*/ + ]; + y = frames[ + i + 2 + /*VALUE2*/ + ]; + break; + default: + x = this.getBezierValue( + time, + i, + 1, + curveType - 2 + /*BEZIER*/ + ); + y = this.getBezierValue( + time, + i, + 2, + curveType + 18 - 2 + /*BEZIER*/ + ); + } + x *= setup.scaleX; + y *= setup.scaleY; + if (alpha === 1 && !add) { + pose.scaleX = x; + pose.scaleY = y; + } else { + let bx = 0, by = 0; + if (from === 1 /* setup */) { + bx = setup.scaleX; + by = setup.scaleY; + } else { + bx = pose.scaleX; + by = pose.scaleY; + } + if (add) { + pose.scaleX = bx + (x - setup.scaleX) * alpha; + pose.scaleY = by + (y - setup.scaleY) * alpha; + } else if (out) { + pose.scaleX = bx + (Math.abs(x) * Math.sign(bx) - bx) * alpha; + pose.scaleY = by + (Math.abs(y) * Math.sign(by) - by) * alpha; + } else { + bx = Math.abs(bx) * Math.sign(x); + by = Math.abs(by) * Math.sign(y); + pose.scaleX = bx + (x - bx) * alpha; + pose.scaleY = by + (y - by) * alpha; + } + } + } + }; + var ScaleXTimeline = class extends BoneTimeline1 { + constructor(frameCount, bezierCount, boneIndex) { + super(frameCount, bezierCount, boneIndex, 3 /* scaleX */); + } + apply1(pose, setup, time, alpha, from, add, out) { + pose.scaleX = this.getScaleValue(time, alpha, from, add, out, pose.scaleX, setup.scaleX); + } + }; + var ScaleYTimeline = class extends BoneTimeline1 { + constructor(frameCount, bezierCount, boneIndex) { + super(frameCount, bezierCount, boneIndex, 4 /* scaleY */); + } + apply1(pose, setup, time, alpha, from, add, out) { + pose.scaleY = this.getScaleValue(time, alpha, from, add, out, pose.scaleY, setup.scaleY); + } + }; + var ShearTimeline = class extends BoneTimeline2 { + constructor(frameCount, bezierCount, boneIndex) { + super(frameCount, bezierCount, boneIndex, 5 /* shearX */, 6 /* shearY */); + } + apply1(pose, setup, time, alpha, from, add, out) { + const frames = this.frames; + if (time < frames[0]) { + switch (from) { + case 1 /* setup */: + pose.shearX = setup.shearX; + pose.shearY = setup.shearY; + break; + case 2 /* first */: + pose.shearX += (setup.shearX - pose.shearX) * alpha; + pose.shearY += (setup.shearY - pose.shearY) * alpha; + break; + } + return; + } + let x = 0, y = 0; + const i = Timeline.search( + frames, + time, + 3 + /*ENTRIES*/ + ); + const curveType = this.curves[ + i / 3 + /*ENTRIES*/ + ]; + switch (curveType) { + case 0: { + const before = frames[i]; + x = frames[ + i + 1 + /*VALUE1*/ + ]; + y = frames[ + i + 2 + /*VALUE2*/ + ]; + const t = (time - before) / (frames[ + i + 3 + /*ENTRIES*/ + ] - before); + x += (frames[ + i + 3 + 1 + /*VALUE1*/ + ] - x) * t; + y += (frames[ + i + 3 + 2 + /*VALUE2*/ + ] - y) * t; + break; + } + case 1: + x = frames[ + i + 1 + /*VALUE1*/ + ]; + y = frames[ + i + 2 + /*VALUE2*/ + ]; + break; + default: + x = this.getBezierValue( + time, + i, + 1, + curveType - 2 + /*BEZIER*/ + ); + y = this.getBezierValue( + time, + i, + 2, + curveType + 18 - 2 + /*BEZIER*/ + ); + } + if (from === 1 /* setup */) { + pose.shearX = setup.shearX + x * alpha; + pose.shearY = setup.shearY + y * alpha; + } else if (add) { + pose.shearX += x * alpha; + pose.shearY += y * alpha; + } else { + pose.shearX += (setup.shearX + x - pose.shearX) * alpha; + pose.shearY += (setup.shearY + y - pose.shearY) * alpha; + } + } + }; + var ShearXTimeline = class extends BoneTimeline1 { + constructor(frameCount, bezierCount, boneIndex) { + super(frameCount, bezierCount, boneIndex, 5 /* shearX */); + } + apply1(pose, setup, time, alpha, from, add, out) { + pose.shearX = this.getRelativeValue(time, alpha, from, add, pose.shearX, setup.shearX); + } + }; + var ShearYTimeline = class extends BoneTimeline1 { + constructor(frameCount, bezierCount, boneIndex) { + super(frameCount, bezierCount, boneIndex, 6 /* shearY */); + } + apply1(pose, setup, time, alpha, from, add, out) { + pose.shearY = this.getRelativeValue(time, alpha, from, add, pose.shearY, setup.shearY); + } + }; + var InheritTimeline = class extends Timeline { + boneIndex; + constructor(frameCount, boneIndex) { + super(frameCount, `${7 /* inherit */}|${boneIndex}`); + this.boneIndex = boneIndex; + this.instant = true; + } + getFrameEntries() { + return 2; + } + /** Sets the inherit transform mode for the specified frame. + * @param frame Between 0 and `frameCount`, inclusive. + * @param time The frame time in seconds. */ + setFrame(frame, time, inherit) { + frame *= 2; + this.frames[frame] = time; + this.frames[ + frame + 1 + /*INHERIT*/ + ] = inherit; + } + apply(skeleton, lastTime, time, events, alpha, from, add, out, appliedPose) { + const bone = skeleton.bones[this.boneIndex]; + if (!bone.active) return; + const pose = appliedPose ? bone.appliedPose : bone.pose; + if (out) { + if (from !== 0 /* current */) pose.inherit = bone.data.setupPose.inherit; + } else { + const frames = this.frames; + if (time < frames[0]) { + if (from !== 0 /* current */) pose.inherit = bone.data.setupPose.inherit; + } else + pose.inherit = this.frames[ + Timeline.search( + frames, + time, + 2 + /*ENTRIES*/ + ) + 1 + /*INHERIT*/ + ]; + } + } + }; + var SlotCurveTimeline = class extends CurveTimeline { + slotIndex; + constructor(frameCount, bezierCount, slotIndex, ...propertyIds) { + super(frameCount, bezierCount, ...propertyIds); + this.slotIndex = slotIndex; + } + apply(skeleton, lastTime, time, events, alpha, from, add, out, appliedPose) { + const slot = skeleton.slots[this.slotIndex]; + if (slot.bone.active) this.apply1(slot, appliedPose ? slot.appliedPose : slot.pose, time, alpha, from, add); + } + }; + var RGBATimeline = class extends SlotCurveTimeline { + constructor(frameCount, bezierCount, slotIndex) { + super( + frameCount, + bezierCount, + slotIndex, + // + `${8 /* rgb */}|${slotIndex}`, + // + `${9 /* alpha */}|${slotIndex}` + ); + } + getFrameEntries() { + return 5; + } + /** Sets the time in seconds, red, green, blue, and alpha for the specified key frame. */ + setFrame(frame, time, r, g, b, a) { + frame *= 5; + this.frames[frame] = time; + this.frames[ + frame + 1 + /*R*/ + ] = r; + this.frames[ + frame + 2 + /*G*/ + ] = g; + this.frames[ + frame + 3 + /*B*/ + ] = b; + this.frames[ + frame + 4 + /*A*/ + ] = a; + } + apply1(slot, pose, time, alpha, from, add) { + const color = pose.color; + const frames = this.frames; + if (time < frames[0]) { + const setup = slot.data.setupPose.color; + switch (from) { + case 1 /* setup */: + color.setFromColor(setup); + break; + case 2 /* first */: + color.add( + (setup.r - color.r) * alpha, + (setup.g - color.g) * alpha, + (setup.b - color.b) * alpha, + (setup.a - color.a) * alpha + ); + break; + } + return; + } + let r = 0, g = 0, b = 0, a = 0; + const i = Timeline.search( + frames, + time, + 5 + /*ENTRIES*/ + ); + const curveType = this.curves[ + i / 5 + /*ENTRIES*/ + ]; + switch (curveType) { + case 0: { + const before = frames[i]; + r = frames[ + i + 1 + /*R*/ + ]; + g = frames[ + i + 2 + /*G*/ + ]; + b = frames[ + i + 3 + /*B*/ + ]; + a = frames[ + i + 4 + /*A*/ + ]; + const t = (time - before) / (frames[ + i + 5 + /*ENTRIES*/ + ] - before); + r += (frames[ + i + 5 + 1 + /*R*/ + ] - r) * t; + g += (frames[ + i + 5 + 2 + /*G*/ + ] - g) * t; + b += (frames[ + i + 5 + 3 + /*B*/ + ] - b) * t; + a += (frames[ + i + 5 + 4 + /*A*/ + ] - a) * t; + break; + } + case 1: + r = frames[ + i + 1 + /*R*/ + ]; + g = frames[ + i + 2 + /*G*/ + ]; + b = frames[ + i + 3 + /*B*/ + ]; + a = frames[ + i + 4 + /*A*/ + ]; + break; + default: + r = this.getBezierValue( + time, + i, + 1, + curveType - 2 + /*BEZIER*/ + ); + g = this.getBezierValue( + time, + i, + 2, + curveType + 18 - 2 + /*BEZIER*/ + ); + b = this.getBezierValue( + time, + i, + 3, + curveType + 18 * 2 - 2 + /*BEZIER*/ + ); + a = this.getBezierValue( + time, + i, + 4, + curveType + 18 * 3 - 2 + /*BEZIER*/ + ); + } + if (alpha === 1) + color.set(r, g, b, a); + else { + if (from === 1 /* setup */) { + const setup = slot.data.setupPose.color; + color.set( + setup.r + (r - setup.r) * alpha, + setup.g + (g - setup.g) * alpha, + setup.b + (b - setup.b) * alpha, + setup.a + (a - setup.a) * alpha + ); + } else + color.add((r - color.r) * alpha, (g - color.g) * alpha, (b - color.b) * alpha, (a - color.a) * alpha); + } + } + }; + var RGBTimeline = class extends SlotCurveTimeline { + constructor(frameCount, bezierCount, slotIndex) { + super(frameCount, bezierCount, slotIndex, `${8 /* rgb */}|${slotIndex}`); + } + getFrameEntries() { + return 4; + } + /** Sets the time in seconds, red, green, blue, and alpha for the specified key frame. */ + setFrame(frame, time, r, g, b) { + frame <<= 2; + this.frames[frame] = time; + this.frames[ + frame + 1 + /*R*/ + ] = r; + this.frames[ + frame + 2 + /*G*/ + ] = g; + this.frames[ + frame + 3 + /*B*/ + ] = b; + } + apply1(slot, pose, time, alpha, from, add) { + const color = pose.color; + let r = 0, g = 0, b = 0; + const frames = this.frames; + if (time < frames[0]) { + const setup = slot.data.setupPose.color; + switch (from) { + case 1 /* setup */: { + color.r = setup.r; + color.g = setup.g; + color.b = setup.b; + break; + } + case 2 /* first */: { + color.r += (setup.r - color.r) * alpha; + color.g += (setup.g - color.g) * alpha; + color.b += (setup.b - color.b) * alpha; + break; + } + } + return; + } + const i = Timeline.search( + frames, + time, + 4 + /*ENTRIES*/ + ); + const curveType = this.curves[i >> 2]; + switch (curveType) { + case 0: { + const before = frames[i]; + r = frames[ + i + 1 + /*R*/ + ]; + g = frames[ + i + 2 + /*G*/ + ]; + b = frames[ + i + 3 + /*B*/ + ]; + const t = (time - before) / (frames[ + i + 4 + /*ENTRIES*/ + ] - before); + r += (frames[ + i + 4 + 1 + /*R*/ + ] - r) * t; + g += (frames[ + i + 4 + 2 + /*G*/ + ] - g) * t; + b += (frames[ + i + 4 + 3 + /*B*/ + ] - b) * t; + break; + } + case 1: + r = frames[ + i + 1 + /*R*/ + ]; + g = frames[ + i + 2 + /*G*/ + ]; + b = frames[ + i + 3 + /*B*/ + ]; + break; + default: + r = this.getBezierValue( + time, + i, + 1, + curveType - 2 + /*BEZIER*/ + ); + g = this.getBezierValue( + time, + i, + 2, + curveType + 18 - 2 + /*BEZIER*/ + ); + b = this.getBezierValue( + time, + i, + 3, + curveType + 18 * 2 - 2 + /*BEZIER*/ + ); + } + if (alpha !== 1) { + if (from === 1 /* setup */) { + const setup = slot.data.setupPose.color; + r = setup.r + (r - setup.r) * alpha; + g = setup.g + (g - setup.g) * alpha; + b = setup.b + (b - setup.b) * alpha; + } else { + r = color.r + (r - color.r) * alpha; + g = color.g + (g - color.g) * alpha; + b = color.b + (b - color.b) * alpha; + } + } + color.r = r < 0 ? 0 : r > 1 ? 1 : r; + color.g = g < 0 ? 0 : g > 1 ? 1 : g; + color.b = b < 0 ? 0 : b > 1 ? 1 : b; + } + }; + var AlphaTimeline = class extends CurveTimeline1 { + slotIndex = 0; + constructor(frameCount, bezierCount, slotIndex) { + super(frameCount, bezierCount, `${9 /* alpha */}|${slotIndex}`); + this.slotIndex = slotIndex; + } + apply(skeleton, lastTime, time, events, alpha, from, add, out, appliedPose) { + const slot = skeleton.slots[this.slotIndex]; + if (!slot.bone.active) return; + const color = (appliedPose ? slot.appliedPose : slot.pose).color; + let a = 0; + const frames = this.frames; + if (time < frames[0]) { + const setup = slot.data.setupPose.color.a; + switch (from) { + case 1 /* setup */: + color.a = setup; + break; + case 2 /* first */: + color.a += (setup - color.a) * alpha; + break; + } + return; + } + a = this.getCurveValue(time); + if (alpha !== 1) { + if (from === 1 /* setup */) { + const setup = slot.data.setupPose.color; + a = setup.a + (a - setup.a) * alpha; + } else + a = color.a + (a - color.a) * alpha; + } + color.a = a < 0 ? 0 : a > 1 ? 1 : a; + } + }; + var RGBA2Timeline = class extends SlotCurveTimeline { + constructor(frameCount, bezierCount, slotIndex) { + super( + frameCount, + bezierCount, + slotIndex, + // + `${8 /* rgb */}|${slotIndex}`, + // + `${9 /* alpha */}|${slotIndex}`, + // + `${10 /* rgb2 */}|${slotIndex}` + ); + } + getFrameEntries() { + return 8; + } + /** Sets the time in seconds, light, and dark colors for the specified key frame. */ + setFrame(frame, time, r, g, b, a, r2, g2, b2) { + frame <<= 3; + this.frames[frame] = time; + this.frames[ + frame + 1 + /*R*/ + ] = r; + this.frames[ + frame + 2 + /*G*/ + ] = g; + this.frames[ + frame + 3 + /*B*/ + ] = b; + this.frames[ + frame + 4 + /*A*/ + ] = a; + this.frames[ + frame + 5 + /*R2*/ + ] = r2; + this.frames[ + frame + 6 + /*G2*/ + ] = g2; + this.frames[ + frame + 7 + /*B2*/ + ] = b2; + } + apply1(slot, pose, time, alpha, from, add) { + const light = pose.color, dark = pose.darkColor; + let r2 = 0, g2 = 0, b2 = 0; + const frames = this.frames; + if (time < frames[0]) { + const setup = slot.data.setupPose; + const setupLight = setup.color, setupDark = setup.darkColor; + switch (from) { + case 1 /* setup */: { + light.setFromColor(setupLight); + dark.r = setupDark.r; + dark.g = setupDark.g; + dark.b = setupDark.b; + break; + } + case 2 /* first */: { + light.add( + (setupLight.r - light.r) * alpha, + (setupLight.g - light.g) * alpha, + (setupLight.b - light.b) * alpha, + (setupLight.a - light.a) * alpha + ); + dark.r += (setupDark.r - dark.r) * alpha; + dark.g += (setupDark.g - dark.g) * alpha; + dark.b += (setupDark.b - dark.b) * alpha; + break; + } + } + return; + } + let r = 0, g = 0, b = 0, a = 0; + const i = Timeline.search( + frames, + time, + 8 + /*ENTRIES*/ + ); + const curveType = this.curves[i >> 3]; + switch (curveType) { + case 0: { + const before = frames[i]; + r = frames[ + i + 1 + /*R*/ + ]; + g = frames[ + i + 2 + /*G*/ + ]; + b = frames[ + i + 3 + /*B*/ + ]; + a = frames[ + i + 4 + /*A*/ + ]; + r2 = frames[ + i + 5 + /*R2*/ + ]; + g2 = frames[ + i + 6 + /*G2*/ + ]; + b2 = frames[ + i + 7 + /*B2*/ + ]; + const t = (time - before) / (frames[ + i + 8 + /*ENTRIES*/ + ] - before); + r += (frames[ + i + 8 + 1 + /*R*/ + ] - r) * t; + g += (frames[ + i + 8 + 2 + /*G*/ + ] - g) * t; + b += (frames[ + i + 8 + 3 + /*B*/ + ] - b) * t; + a += (frames[ + i + 8 + 4 + /*A*/ + ] - a) * t; + r2 += (frames[ + i + 8 + 5 + /*R2*/ + ] - r2) * t; + g2 += (frames[ + i + 8 + 6 + /*G2*/ + ] - g2) * t; + b2 += (frames[ + i + 8 + 7 + /*B2*/ + ] - b2) * t; + break; + } + case 1: + r = frames[ + i + 1 + /*R*/ + ]; + g = frames[ + i + 2 + /*G*/ + ]; + b = frames[ + i + 3 + /*B*/ + ]; + a = frames[ + i + 4 + /*A*/ + ]; + r2 = frames[ + i + 5 + /*R2*/ + ]; + g2 = frames[ + i + 6 + /*G2*/ + ]; + b2 = frames[ + i + 7 + /*B2*/ + ]; + break; + default: + r = this.getBezierValue( + time, + i, + 1, + curveType - 2 + /*BEZIER*/ + ); + g = this.getBezierValue( + time, + i, + 2, + curveType + 18 - 2 + /*BEZIER*/ + ); + b = this.getBezierValue( + time, + i, + 3, + curveType + 18 * 2 - 2 + /*BEZIER*/ + ); + a = this.getBezierValue( + time, + i, + 4, + curveType + 18 * 3 - 2 + /*BEZIER*/ + ); + r2 = this.getBezierValue( + time, + i, + 5, + curveType + 18 * 4 - 2 + /*BEZIER*/ + ); + g2 = this.getBezierValue( + time, + i, + 6, + curveType + 18 * 5 - 2 + /*BEZIER*/ + ); + b2 = this.getBezierValue( + time, + i, + 7, + curveType + 18 * 6 - 2 + /*BEZIER*/ + ); + } + if (alpha === 1) + light.set(r, g, b, a); + else if (from === 1 /* setup */) { + const setupPose = slot.data.setupPose; + let setup = setupPose.color; + light.set( + setup.r + (r - setup.r) * alpha, + setup.g + (g - setup.g) * alpha, + setup.b + (b - setup.b) * alpha, + setup.a + (a - setup.a) * alpha + ); + setup = setupPose.darkColor; + r2 = setup.r + (r2 - setup.r) * alpha; + g2 = setup.g + (g2 - setup.g) * alpha; + b2 = setup.b + (b2 - setup.b) * alpha; + } else { + light.add((r - light.r) * alpha, (g - light.g) * alpha, (b - light.b) * alpha, (a - light.a) * alpha); + r2 = dark.r + (r2 - dark.r) * alpha; + g2 = dark.g + (g2 - dark.g) * alpha; + b2 = dark.b + (b2 - dark.b) * alpha; + } + dark.r = r2 < 0 ? 0 : r2 > 1 ? 1 : r2; + dark.g = g2 < 0 ? 0 : g2 > 1 ? 1 : g2; + dark.b = b2 < 0 ? 0 : b2 > 1 ? 1 : b2; + } + }; + var RGB2Timeline = class extends SlotCurveTimeline { + constructor(frameCount, bezierCount, slotIndex) { + super( + frameCount, + bezierCount, + slotIndex, + // + `${8 /* rgb */}|${slotIndex}`, + // + `${10 /* rgb2 */}|${slotIndex}` + ); + } + getFrameEntries() { + return 7; + } + /** Sets the time in seconds, light, and dark colors for the specified key frame. */ + setFrame(frame, time, r, g, b, r2, g2, b2) { + frame *= 7; + this.frames[frame] = time; + this.frames[ + frame + 1 + /*R*/ + ] = r; + this.frames[ + frame + 2 + /*G*/ + ] = g; + this.frames[ + frame + 3 + /*B*/ + ] = b; + this.frames[ + frame + 4 + /*R2*/ + ] = r2; + this.frames[ + frame + 5 + /*G2*/ + ] = g2; + this.frames[ + frame + 6 + /*B2*/ + ] = b2; + } + apply1(slot, pose, time, alpha, from, add) { + const light = pose.color, dark = pose.darkColor; + let r = 0, g = 0, b = 0, r2 = 0, g2 = 0, b2 = 0; + const frames = this.frames; + if (time < frames[0]) { + const setup = slot.data.setupPose; + const setupLight = setup.color, setupDark = setup.darkColor; + switch (from) { + case 1 /* setup */: + light.r = setupLight.r; + light.g = setupLight.g; + light.b = setupLight.b; + dark.r = setupDark.r; + dark.g = setupDark.g; + dark.b = setupDark.b; + break; + case 2 /* first */: + light.r += (setupLight.r - light.r) * alpha; + light.g += (setupLight.g - light.g) * alpha; + light.b += (setupLight.b - light.b) * alpha; + dark.r += (setupDark.r - dark.r) * alpha; + dark.g += (setupDark.g - dark.g) * alpha; + dark.b += (setupDark.b - dark.b) * alpha; + break; + } + return; + } + const i = Timeline.search( + frames, + time, + 7 + /*ENTRIES*/ + ); + const curveType = this.curves[ + i / 7 + /*ENTRIES*/ + ]; + switch (curveType) { + case 0: { + const before = frames[i]; + r = frames[ + i + 1 + /*R*/ + ]; + g = frames[ + i + 2 + /*G*/ + ]; + b = frames[ + i + 3 + /*B*/ + ]; + r2 = frames[ + i + 4 + /*R2*/ + ]; + g2 = frames[ + i + 5 + /*G2*/ + ]; + b2 = frames[ + i + 6 + /*B2*/ + ]; + const t = (time - before) / (frames[ + i + 7 + /*ENTRIES*/ + ] - before); + r += (frames[ + i + 7 + 1 + /*R*/ + ] - r) * t; + g += (frames[ + i + 7 + 2 + /*G*/ + ] - g) * t; + b += (frames[ + i + 7 + 3 + /*B*/ + ] - b) * t; + r2 += (frames[ + i + 7 + 4 + /*R2*/ + ] - r2) * t; + g2 += (frames[ + i + 7 + 5 + /*G2*/ + ] - g2) * t; + b2 += (frames[ + i + 7 + 6 + /*B2*/ + ] - b2) * t; + break; + } + case 1: + r = frames[ + i + 1 + /*R*/ + ]; + g = frames[ + i + 2 + /*G*/ + ]; + b = frames[ + i + 3 + /*B*/ + ]; + r2 = frames[ + i + 4 + /*R2*/ + ]; + g2 = frames[ + i + 5 + /*G2*/ + ]; + b2 = frames[ + i + 6 + /*B2*/ + ]; + break; + default: + r = this.getBezierValue( + time, + i, + 1, + curveType - 2 + /*BEZIER*/ + ); + g = this.getBezierValue( + time, + i, + 2, + curveType + 18 - 2 + /*BEZIER*/ + ); + b = this.getBezierValue( + time, + i, + 3, + curveType + 18 * 2 - 2 + /*BEZIER*/ + ); + r2 = this.getBezierValue( + time, + i, + 4, + curveType + 18 * 3 - 2 + /*BEZIER*/ + ); + g2 = this.getBezierValue( + time, + i, + 5, + curveType + 18 * 4 - 2 + /*BEZIER*/ + ); + b2 = this.getBezierValue( + time, + i, + 6, + curveType + 18 * 5 - 2 + /*BEZIER*/ + ); + } + if (alpha !== 1) { + if (from === 1 /* setup */) { + const setupPose = slot.data.setupPose; + let setup = setupPose.color; + r = setup.r + (r - setup.r) * alpha; + g = setup.g + (g - setup.g) * alpha; + b = setup.b + (b - setup.b) * alpha; + setup = setupPose.darkColor; + r2 = setup.r + (r2 - setup.r) * alpha; + g2 = setup.g + (g2 - setup.g) * alpha; + b2 = setup.b + (b2 - setup.b) * alpha; + } else { + r = light.r + (r - light.r) * alpha; + g = light.g + (g - light.g) * alpha; + b = light.b + (b - light.b) * alpha; + r2 = dark.r + (r2 - dark.r) * alpha; + g2 = dark.g + (g2 - dark.g) * alpha; + b2 = dark.b + (b2 - dark.b) * alpha; + } + } + light.r = r < 0 ? 0 : r > 1 ? 1 : r; + light.g = g < 0 ? 0 : g > 1 ? 1 : g; + light.b = b < 0 ? 0 : b > 1 ? 1 : b; + dark.r = r2 < 0 ? 0 : r2 > 1 ? 1 : r2; + dark.g = g2 < 0 ? 0 : g2 > 1 ? 1 : g2; + dark.b = b2 < 0 ? 0 : b2 > 1 ? 1 : b2; + } + }; + var AttachmentTimeline = class extends Timeline { + slotIndex = 0; + /** The attachment name for each key frame. May contain null values to clear the attachment. */ + attachmentNames; + constructor(frameCount, slotIndex) { + super(frameCount, `${11 /* attachment */}|${slotIndex}`); + this.slotIndex = slotIndex; + this.attachmentNames = new Array(frameCount); + this.instant = true; + } + getFrameCount() { + return this.frames.length; + } + /** Sets the time in seconds and the attachment name for the specified key frame. */ + setFrame(frame, time, attachmentName) { + this.frames[frame] = time; + this.attachmentNames[frame] = attachmentName; + } + apply(skeleton, lastTime, time, events, alpha, from, add, out, appliedPose) { + const slot = skeleton.slots[this.slotIndex]; + if (!slot.bone.active) return; + const pose = appliedPose ? slot.appliedPose : slot.pose; + if (out || time < this.frames[0]) { + if (from !== 0 /* current */) this.setAttachment(skeleton, pose, slot.data.attachmentName); + } else + this.setAttachment(skeleton, pose, this.attachmentNames[Timeline.search(this.frames, time)]); + } + setAttachment(skeleton, pose, attachmentName) { + pose.setAttachment(!attachmentName ? null : skeleton.getAttachment(this.slotIndex, attachmentName)); + } + }; + var DeformTimeline = class extends CurveTimeline { + slotIndex; + /** The attachment that will be deformed. + * + * See {@link VertexAttachment.getTimelineAttachment}. */ + attachment; + /** The vertices for each key frame. */ + vertices; + constructor(frameCount, bezierCount, slotIndex, attachment) { + super(frameCount, bezierCount, `${12 /* deform */}|${slotIndex}|${attachment.id}`); + this.slotIndex = slotIndex; + this.attachment = attachment; + this.vertices = new Array(frameCount); + this.additive = true; + } + getFrameCount() { + return this.frames.length; + } + /** Sets the time and vertices for the specified frame. + * @param frame Between 0 and `frameCount`, inclusive. + * @param time The frame time in seconds. + * @param vertices Vertex positions for an unweighted VertexAttachment, or deform offsets if it has weights. */ + setFrame(frame, time, vertices) { + this.frames[frame] = time; + this.vertices[frame] = vertices; + } + /** @param value1 Ignored (0 is used for a deform timeline). + * @param value2 Ignored (1 is used for a deform timeline). */ + setBezier(bezier, frame, value, time1, value1, cx1, cy1, cx2, cy2, time2, value2) { + const curves = this.curves; + let i = this.getFrameCount() + bezier * 18; + if (value === 0) curves[frame] = 2 + i; + const tmpx = (time1 - cx1 * 2 + cx2) * 0.03, tmpy = cy2 * 0.03 - cy1 * 0.06; + const dddx = ((cx1 - cx2) * 3 - time1 + time2) * 6e-3, dddy = (cy1 - cy2 + 0.33333333) * 0.018; + let ddx = tmpx * 2 + dddx, ddy = tmpy * 2 + dddy; + let dx = (cx1 - time1) * 0.3 + tmpx + dddx * 0.16666667, dy = cy1 * 0.3 + tmpy + dddy * 0.16666667; + let x = time1 + dx, y = dy; + for (let n = i + 18; i < n; i += 2) { + curves[i] = x; + curves[i + 1] = y; + dx += ddx; + dy += ddy; + ddx += dddx; + ddy += dddy; + x += dx; + y += dy; + } + } + getCurvePercent(time, frame) { + const curves = this.curves; + let i = curves[frame]; + switch (i) { + case 0: { + const x2 = this.frames[frame]; + return (time - x2) / (this.frames[frame + this.getFrameEntries()] - x2); + } + case 1: + return 0; + } + i -= 2; + if (curves[i] > time) { + const x2 = this.frames[frame]; + return curves[i + 1] * (time - x2) / (curves[i] - x2); + } + const n = i + 18; + for (i += 2; i < n; i += 2) { + if (curves[i] >= time) { + const x2 = curves[i - 2], y2 = curves[i - 1]; + return y2 + (time - x2) / (curves[i] - x2) * (curves[i + 1] - y2); + } + } + const x = curves[n - 2], y = curves[n - 1]; + return y + (1 - y) * (time - x) / (this.frames[frame + this.getFrameEntries()] - x); + } + apply(skeleton, lastTime, time, events, alpha, from, add, out, appliedPose) { + const slots = skeleton.slots; + if (!this.attachment.isTimelineActive(slots, this.slotIndex, appliedPose)) return; + const timelineSlots = this.attachment.timelineSlots; + const frames = this.frames; + if (time < frames[0]) { + this.applyBeforeFirst(slots[this.slotIndex], appliedPose, alpha, from); + for (const slotIndex of timelineSlots) + this.applyBeforeFirst(slots[slotIndex], appliedPose, alpha, from); + return; + } + let v1, v2; + let percent; + if (time >= frames[frames.length - 1]) { + percent = 0; + v1 = this.vertices[frames.length - 1]; + v2 = null; + } else { + const frame = Timeline.search(frames, time); + percent = this.getCurvePercent(time, frame); + v1 = this.vertices[frame]; + v2 = this.vertices[frame + 1]; + } + const vertexCount = this.vertices[0].length; + this.applyToSlot(slots[this.slotIndex], appliedPose, v1, v2, percent, vertexCount, alpha, from, add); + for (const slotIndex of timelineSlots) + this.applyToSlot(slots[slotIndex], appliedPose, v1, v2, percent, vertexCount, alpha, from, add); + } + applyBeforeFirst(slot, appliedPose, alpha, from) { + if (!slot.bone.active) return; + const pose = appliedPose ? slot.appliedPose : slot.pose; + if (pose.attachment == null || pose.attachment.timelineAttachment !== this.attachment) return; + const deformArray = pose.deform; + if (deformArray.length === 0) from = 1 /* setup */; + switch (from) { + case 1 /* setup */: + deformArray.length = 0; + break; + case 2 /* first */: { + if (alpha === 1) { + deformArray.length = 0; + return; + } + const vertexCount = this.vertices[0].length; + deformArray.length = vertexCount; + const deform = deformArray; + const vertexAttachment = pose.attachment; + if (vertexAttachment.bones === null) { + const setupVertices = vertexAttachment.vertices; + for (let i = 0; i < vertexCount; i++) + deform[i] += (setupVertices[i] - deform[i]) * alpha; + } else { + alpha = 1 - alpha; + for (let i = 0; i < vertexCount; i++) + deform[i] *= alpha; + } + } + } + } + applyToSlot(slot, appliedPose, v1, v2, percent, vertexCount, alpha, from, add) { + if (!slot.bone.active) return; + const pose = appliedPose ? slot.appliedPose : slot.pose; + if (pose.attachment === null || pose.attachment.timelineAttachment !== this.attachment) return; + const vertexAttachment = pose.attachment; + const deform = pose.deform; + if (deform.length === 0) from = 1 /* setup */; + const fromSetup = from === 1 /* setup */; + deform.length = vertexCount; + if (v2 === null) { + if (alpha === 1) { + if (add && !fromSetup) { + if (!vertexAttachment.bones) { + const setupVertices = vertexAttachment.vertices; + for (let i = 0; i < vertexCount; i++) + deform[i] += v1[i] - setupVertices[i]; + } else { + for (let i = 0; i < vertexCount; i++) + deform[i] += v1[i]; + } + } else + Utils.arrayCopy(v1, 0, deform, 0, vertexCount); + } else if (fromSetup) { + if (!vertexAttachment.bones) { + const setupVertices = vertexAttachment.vertices; + for (let i = 0; i < vertexCount; i++) { + const setup = setupVertices[i]; + deform[i] = setup + (v1[i] - setup) * alpha; + } + } else { + for (let i = 0; i < vertexCount; i++) + deform[i] = v1[i] * alpha; + } + } else if (add) { + if (!vertexAttachment.bones) { + const setupVertices = vertexAttachment.vertices; + for (let i = 0; i < vertexCount; i++) + deform[i] += (v1[i] - setupVertices[i]) * alpha; + } else { + for (let i = 0; i < vertexCount; i++) + deform[i] += v1[i] * alpha; + } + } else { + for (let i = 0; i < vertexCount; i++) + deform[i] += (v1[i] - deform[i]) * alpha; + } + } else { + if (alpha === 1) { + if (add && !fromSetup) { + if (!vertexAttachment.bones) { + const setupVertices = vertexAttachment.vertices; + for (let i = 0; i < vertexCount; i++) { + const prev = v1[i]; + deform[i] += prev + (v2[i] - prev) * percent - setupVertices[i]; + } + } else { + for (let i = 0; i < vertexCount; i++) { + const prev = v1[i]; + deform[i] += prev + (v2[i] - prev) * percent; + } + } + } else if (percent === 0) + Utils.arrayCopy(v1, 0, deform, 0, vertexCount); + else { + for (let i = 0; i < vertexCount; i++) { + const prev = v1[i]; + deform[i] = prev + (v2[i] - prev) * percent; + } + } + } else if (fromSetup) { + if (!vertexAttachment.bones) { + const setupVertices = vertexAttachment.vertices; + for (let i = 0; i < vertexCount; i++) { + const prev = v1[i], setup = setupVertices[i]; + deform[i] = setup + (prev + (v2[i] - prev) * percent - setup) * alpha; + } + } else { + for (let i = 0; i < vertexCount; i++) { + const prev = v1[i]; + deform[i] = (prev + (v2[i] - prev) * percent) * alpha; + } + } + } else if (add) { + if (!vertexAttachment.bones) { + const setupVertices = vertexAttachment.vertices; + for (let i = 0; i < vertexCount; i++) { + const prev = v1[i]; + deform[i] += (prev + (v2[i] - prev) * percent - setupVertices[i]) * alpha; + } + } else { + for (let i = 0; i < vertexCount; i++) { + const prev = v1[i]; + deform[i] += (prev + (v2[i] - prev) * percent) * alpha; + } + } + } else { + for (let i = 0; i < vertexCount; i++) { + const prev = v1[i]; + deform[i] += (prev + (v2[i] - prev) * percent - deform[i]) * alpha; + } + } + } + } + }; + var SequenceTimeline = class _SequenceTimeline extends Timeline { + static ENTRIES = 3; + static MODE = 1; + static DELAY = 2; + slotIndex; + attachment; + constructor(frameCount, slotIndex, attachment) { + super(frameCount, `${29 /* sequence */}|${slotIndex}|${attachment.sequence.id}`); + this.slotIndex = slotIndex; + this.attachment = attachment; + this.instant = true; + } + getFrameEntries() { + return _SequenceTimeline.ENTRIES; + } + getSlotIndex() { + return this.slotIndex; + } + /** The attachment for which the {@link SlotPose.sequenceIndex} will be set. + * + * See {@link VertexAttachment.timelineAttachment}. */ + getAttachment() { + return this.attachment; + } + /** Sets the time, mode, index, and frame time for the specified frame. + * @param frame Between 0 and `frameCount`, inclusive. + * @param time Seconds between frames. */ + setFrame(frame, time, mode, index, delay) { + const frames = this.frames; + frame *= _SequenceTimeline.ENTRIES; + frames[frame] = time; + frames[frame + _SequenceTimeline.MODE] = mode | index << 4; + frames[frame + _SequenceTimeline.DELAY] = delay; + } + apply(skeleton, lastTime, time, events, alpha, from, add, out, appliedPose) { + const slots = skeleton.slots; + if (!this.attachment.isTimelineActive(slots, this.slotIndex, appliedPose)) return; + const timelineSlots = this.attachment.timelineSlots; + const frames = this.frames; + if (out || time < frames[0]) { + if (from !== 0 /* current */) { + this.setupPose(slots[this.slotIndex], appliedPose); + for (const slotIndex of timelineSlots) + this.setupPose(slots[slotIndex], appliedPose); + } + return; + } + const i = Timeline.search(frames, time, _SequenceTimeline.ENTRIES); + const before = frames[i]; + const modeAndIndex = frames[i + _SequenceTimeline.MODE]; + const delay = frames[i + _SequenceTimeline.DELAY]; + this.applyToSlot(slots[this.slotIndex], appliedPose, time, before, modeAndIndex, delay); + for (const slotIndex of timelineSlots) + this.applyToSlot(slots[slotIndex], appliedPose, time, before, modeAndIndex, delay); + } + setupPose(slot, appliedPose) { + if (!slot.bone.active) return; + const pose = appliedPose ? slot.appliedPose : slot.pose; + if (pose.attachment === null || pose.attachment.timelineAttachment !== this.attachment) return; + pose.sequenceIndex = -1; + } + applyToSlot(slot, appliedPose, time, before, modeAndIndex, delay) { + if (!slot.bone.active) return; + const pose = appliedPose ? slot.appliedPose : slot.pose; + if (pose.attachment === null || pose.attachment.timelineAttachment !== this.attachment) return; + let index = modeAndIndex >> 4, count = pose.attachment.sequence.regions.length; + const mode = SequenceModeValues[modeAndIndex & 15]; + if (mode !== 0 /* hold */) { + index += (time - before) / delay + 1e-5 | 0; + switch (mode) { + case 1 /* once */: + index = Math.min(count - 1, index); + break; + case 2 /* loop */: + index %= count; + break; + case 3 /* pingpong */: { + const n = (count << 1) - 2; + index = n === 0 ? 0 : index % n; + if (index >= count) index = n - index; + break; + } + case 4 /* onceReverse */: + index = Math.max(count - 1 - index, 0); + break; + case 5 /* loopReverse */: + index = count - 1 - index % count; + break; + case 6 /* pingpongReverse */: { + const n = (count << 1) - 2; + index = n === 0 ? 0 : (index + count - 1) % n; + if (index >= count) index = n - index; + } + } + } + pose.sequenceIndex = index; + } + }; + var EventTimeline = class _EventTimeline extends Timeline { + static propertyIds = [`${13 /* event */}`]; + /** The event for each key frame. */ + events; + constructor(frameCount) { + super(frameCount, ..._EventTimeline.propertyIds); + this.events = new Array(frameCount); + this.instant = true; + } + getFrameCount() { + return this.frames.length; + } + /** Sets the time in seconds and the event for the specified key frame. */ + setFrame(frame, event) { + this.frames[frame] = event.time; + this.events[frame] = event; + } + /** Fires events for frames > `lastTime` and <= `time`. */ + apply(skeleton, lastTime, time, firedEvents, alpha, from, add, out, appliedPose) { + if (!firedEvents) return; + const frames = this.frames; + const frameCount = this.frames.length; + if (lastTime > time) { + this.apply(null, lastTime, Number.MAX_VALUE, firedEvents, 0, from, false, false, false); + lastTime = -1; + } else if (lastTime >= frames[frameCount - 1]) + return; + if (time < frames[0]) return; + let i = 0; + if (lastTime < frames[0]) + i = 0; + else { + i = Timeline.search(frames, lastTime) + 1; + const frameTime = frames[i]; + while (i > 0) { + if (frames[i - 1] !== frameTime) break; + i--; + } + } + for (; i < frameCount && time >= frames[i]; i++) + firedEvents.push(this.events[i]); + } + }; + var DrawOrderTimeline = class _DrawOrderTimeline extends Timeline { + static propertyID = `${14 /* drawOrder */}`; + static propertyIds = [_DrawOrderTimeline.propertyID]; + /** The draw order for each key frame. See {@link setFrame}. */ + drawOrders; + constructor(frameCount) { + super(frameCount, ..._DrawOrderTimeline.propertyIds); + this.drawOrders = new Array(frameCount); + this.instant = true; + } + getFrameCount() { + return this.frames.length; + } + /** Sets the time in seconds and the draw order for the specified key frame. + * @param drawOrder Ordered {@link Skeleton.slots} indices, or null to use setup pose + * draw order. */ + setFrame(frame, time, drawOrder) { + this.frames[frame] = time; + this.drawOrders[frame] = drawOrder; + } + apply(skeleton, lastTime, time, firedEvents, alpha, from, add, out, appliedPose) { + const pose = appliedPose ? skeleton.drawOrder.appliedPose : skeleton.drawOrder.pose; + const setup = skeleton.slots; + if (out || time < this.frames[0]) { + if (from !== 0 /* current */) Utils.arrayCopy(setup, 0, pose, 0, skeleton.slots.length); + return; + } + const order = this.drawOrders[Timeline.search(this.frames, time)]; + if (!order) + Utils.arrayCopy(setup, 0, pose, 0, skeleton.slots.length); + else { + for (let i = 0, n = order.length; i < n; i++) + pose[i] = setup[order[i]]; + } + } + }; + var DrawOrderFolderTimeline = class _DrawOrderFolderTimeline extends Timeline { + static propertyID = `${15 /* drawOrderFolder */}`; + slots; + inFolder; + drawOrders; + /** @param slots {@link Skeleton.slots} indices controlled by this timeline, in setup order. + * @param slotCount The maximum number of slots in the skeleton. */ + constructor(frameCount, slots, slotCount) { + super(frameCount, ..._DrawOrderFolderTimeline.propertyIds(slots)); + this.slots = slots; + this.drawOrders = new Array(frameCount); + this.inFolder = new Array(slotCount); + for (const i of slots) + this.inFolder[i] = true; + this.instant = true; + } + static propertyIds(slots) { + const n = slots.length; + const ids = new Array(n); + for (let i = 0; i < n; i++) + ids[i] = `${_DrawOrderFolderTimeline.propertyID}|${slots[i]}`; + return ids; + } + getFrameCount() { + return this.frames.length; + } + /** The {@link Skeleton.getSlots} indices that this timeline affects, in setup order. */ + getSlots() { + return this.slots; + } + /** The draw order for each frame. See {@link setFrame}. */ + getDrawOrders() { + return this.drawOrders; + } + /** Sets the time and draw order for the specified frame. + * @param frame Between 0 and `frameCount`, inclusive. + * @param time The frame time in seconds. + * @param drawOrder Ordered {@link getSlots} indices, or null to use setup pose order. */ + setFrame(frame, time, drawOrder) { + this.frames[frame] = time; + this.drawOrders[frame] = drawOrder; + } + apply(skeleton, lastTime, time, events, alpha, from, add, out, appliedPose) { + const pose = appliedPose ? skeleton.drawOrder.appliedPose : skeleton.drawOrder.pose; + const setup = skeleton.slots; + if (out || time < this.frames[0]) { + if (from !== 0 /* current */) this.setup(pose, setup); + } else { + const order = this.drawOrders[Timeline.search(this.frames, time)]; + if (!order) + this.setup(pose, setup); + else { + const inFolder = this.inFolder; + const slots = this.slots; + for (let i = 0, found = 0, done = slots.length; ; i++) { + if (inFolder[pose[i].data.index]) { + pose[i] = setup[slots[order[found]]]; + if (++found === done) break; + } + } + } + } + } + setup(pose, setup) { + const { inFolder, slots } = this; + for (let i = 0, found = 0, done = slots.length; ; i++) { + if (inFolder[pose[i].data.index]) { + pose[i] = setup[slots[found]]; + if (++found === done) break; + } + } + } + }; + function isConstraintTimeline(obj) { + return typeof obj === "object" && obj !== null && typeof obj.constraintIndex === "number"; + } + var IkConstraintTimeline = class extends CurveTimeline { + constraintIndex = 0; + constructor(frameCount, bezierCount, constraintIndex) { + super(frameCount, bezierCount, `${16 /* ikConstraint */}|${constraintIndex}`); + this.constraintIndex = constraintIndex; + } + getFrameEntries() { + return 6; + } + /** Sets the time, mix, softness, bend direction, compress, and stretch for the specified frame. + * @param frame Between 0 and `frameCount`, inclusive. + * @param time The frame time in seconds. + * @param bendDirection 1 or -1. */ + setFrame(frame, time, mix, softness, bendDirection, compress, stretch) { + frame *= 6; + this.frames[frame] = time; + this.frames[ + frame + 1 + /*MIX*/ + ] = mix; + this.frames[ + frame + 2 + /*SOFTNESS*/ + ] = softness; + this.frames[ + frame + 3 + /*BEND_DIRECTION*/ + ] = bendDirection; + this.frames[ + frame + 4 + /*COMPRESS*/ + ] = compress ? 1 : 0; + this.frames[ + frame + 5 + /*STRETCH*/ + ] = stretch ? 1 : 0; + } + apply(skeleton, lastTime, time, firedEvents, alpha, from, add, out, appliedPose) { + const constraint = skeleton.constraints[this.constraintIndex]; + if (!constraint.active) return; + const pose = appliedPose ? constraint.appliedPose : constraint.pose; + const frames = this.frames; + if (time < frames[0]) { + const setup = constraint.data.setupPose; + switch (from) { + case 1 /* setup */: { + pose.mix = setup.mix; + pose.softness = setup.softness; + pose.bendDirection = setup.bendDirection; + pose.compress = setup.compress; + pose.stretch = setup.stretch; + break; + } + case 2 /* first */: { + pose.mix += (setup.mix - pose.mix) * alpha; + pose.softness += (setup.softness - pose.softness) * alpha; + pose.bendDirection = setup.bendDirection; + pose.compress = setup.compress; + pose.stretch = setup.stretch; + break; + } + } + return; + } + let mix = 0, softness = 0; + const i = Timeline.search( + frames, + time, + 6 + /*ENTRIES*/ + ); + const curveType = this.curves[ + i / 6 + /*ENTRIES*/ + ]; + switch (curveType) { + case 0: { + const before = frames[i]; + mix = frames[ + i + 1 + /*MIX*/ + ]; + softness = frames[ + i + 2 + /*SOFTNESS*/ + ]; + const t = (time - before) / (frames[ + i + 6 + /*ENTRIES*/ + ] - before); + mix += (frames[ + i + 6 + 1 + /*MIX*/ + ] - mix) * t; + softness += (frames[ + i + 6 + 2 + /*SOFTNESS*/ + ] - softness) * t; + break; + } + case 1: + mix = frames[ + i + 1 + /*MIX*/ + ]; + softness = frames[ + i + 2 + /*SOFTNESS*/ + ]; + break; + default: + mix = this.getBezierValue( + time, + i, + 1, + curveType - 2 + /*BEZIER*/ + ); + softness = this.getBezierValue( + time, + i, + 2, + curveType + 18 - 2 + /*BEZIER*/ + ); + } + const base = from === 1 /* setup */ ? constraint.data.setupPose : pose; + pose.mix = base.mix + (mix - base.mix) * alpha; + pose.softness = base.softness + (softness - base.softness) * alpha; + if (out) { + if (from === 1 /* setup */) { + pose.bendDirection = base.bendDirection; + pose.compress = base.compress; + pose.stretch = base.stretch; + } + } else { + pose.bendDirection = frames[ + i + 3 + /*BEND_DIRECTION*/ + ]; + pose.compress = frames[ + i + 4 + /*COMPRESS*/ + ] !== 0; + pose.stretch = frames[ + i + 5 + /*STRETCH*/ + ] !== 0; + } + } + }; + var TransformConstraintTimeline = class extends CurveTimeline { + /** The index of the transform constraint slot in {@link Skeleton.transformConstraints} that will be changed. */ + constraintIndex = 0; + constructor(frameCount, bezierCount, constraintIndex) { + super(frameCount, bezierCount, `${17 /* transformConstraint */}|${constraintIndex}`); + this.constraintIndex = constraintIndex; + this.additive = true; + } + getFrameEntries() { + return 7; + } + /** Sets the time, rotate mix, translate mix, scale mix, and shear mix for the specified frame. + * @param frame Between 0 and `frameCount`, inclusive. + * @param time The frame time in seconds. */ + setFrame(frame, time, mixRotate, mixX, mixY, mixScaleX, mixScaleY, mixShearY) { + const frames = this.frames; + frame *= 7; + frames[frame] = time; + frames[ + frame + 1 + /*ROTATE*/ + ] = mixRotate; + frames[ + frame + 2 + /*X*/ + ] = mixX; + frames[ + frame + 3 + /*Y*/ + ] = mixY; + frames[ + frame + 4 + /*SCALEX*/ + ] = mixScaleX; + frames[ + frame + 5 + /*SCALEY*/ + ] = mixScaleY; + frames[ + frame + 6 + /*SHEARY*/ + ] = mixShearY; + } + apply(skeleton, lastTime, time, firedEvents, alpha, from, add, out, appliedPose) { + const constraint = skeleton.constraints[this.constraintIndex]; + if (!constraint.active) return; + const pose = appliedPose ? constraint.appliedPose : constraint.pose; + const frames = this.frames; + if (time < frames[0]) { + const setup = constraint.data.setupPose; + switch (from) { + case 1 /* setup */: { + pose.mixRotate = setup.mixRotate; + pose.mixX = setup.mixX; + pose.mixY = setup.mixY; + pose.mixScaleX = setup.mixScaleX; + pose.mixScaleY = setup.mixScaleY; + pose.mixShearY = setup.mixShearY; + break; + } + case 2 /* first */: { + pose.mixRotate += (setup.mixRotate - pose.mixRotate) * alpha; + pose.mixX += (setup.mixX - pose.mixX) * alpha; + pose.mixY += (setup.mixY - pose.mixY) * alpha; + pose.mixScaleX += (setup.mixScaleX - pose.mixScaleX) * alpha; + pose.mixScaleY += (setup.mixScaleY - pose.mixScaleY) * alpha; + pose.mixShearY += (setup.mixShearY - pose.mixShearY) * alpha; + break; + } + } + return; + } + let rotate, x, y, scaleX, scaleY, shearY; + const i = Timeline.search( + frames, + time, + 7 + /*ENTRIES*/ + ); + const curveType = this.curves[ + i / 7 + /*ENTRIES*/ + ]; + switch (curveType) { + case 0: { + const before = frames[i]; + rotate = frames[ + i + 1 + /*ROTATE*/ + ]; + x = frames[ + i + 2 + /*X*/ + ]; + y = frames[ + i + 3 + /*Y*/ + ]; + scaleX = frames[ + i + 4 + /*SCALEX*/ + ]; + scaleY = frames[ + i + 5 + /*SCALEY*/ + ]; + shearY = frames[ + i + 6 + /*SHEARY*/ + ]; + const t = (time - before) / (frames[ + i + 7 + /*ENTRIES*/ + ] - before); + rotate += (frames[ + i + 7 + 1 + /*ROTATE*/ + ] - rotate) * t; + x += (frames[ + i + 7 + 2 + /*X*/ + ] - x) * t; + y += (frames[ + i + 7 + 3 + /*Y*/ + ] - y) * t; + scaleX += (frames[ + i + 7 + 4 + /*SCALEX*/ + ] - scaleX) * t; + scaleY += (frames[ + i + 7 + 5 + /*SCALEY*/ + ] - scaleY) * t; + shearY += (frames[ + i + 7 + 6 + /*SHEARY*/ + ] - shearY) * t; + break; + } + case 1: + rotate = frames[ + i + 1 + /*ROTATE*/ + ]; + x = frames[ + i + 2 + /*X*/ + ]; + y = frames[ + i + 3 + /*Y*/ + ]; + scaleX = frames[ + i + 4 + /*SCALEX*/ + ]; + scaleY = frames[ + i + 5 + /*SCALEY*/ + ]; + shearY = frames[ + i + 6 + /*SHEARY*/ + ]; + break; + default: + rotate = this.getBezierValue( + time, + i, + 1, + curveType - 2 + /*BEZIER*/ + ); + x = this.getBezierValue( + time, + i, + 2, + curveType + 18 - 2 + /*BEZIER*/ + ); + y = this.getBezierValue( + time, + i, + 3, + curveType + 18 * 2 - 2 + /*BEZIER*/ + ); + scaleX = this.getBezierValue( + time, + i, + 4, + curveType + 18 * 3 - 2 + /*BEZIER*/ + ); + scaleY = this.getBezierValue( + time, + i, + 5, + curveType + 18 * 4 - 2 + /*BEZIER*/ + ); + shearY = this.getBezierValue( + time, + i, + 6, + curveType + 18 * 5 - 2 + /*BEZIER*/ + ); + } + const base = from === 1 /* setup */ ? constraint.data.setupPose : pose; + if (add) { + pose.mixRotate = base.mixRotate + rotate * alpha; + pose.mixX = base.mixX + x * alpha; + pose.mixY = base.mixY + y * alpha; + pose.mixScaleX = base.mixScaleX + scaleX * alpha; + pose.mixScaleY = base.mixScaleY + scaleY * alpha; + pose.mixShearY = base.mixShearY + shearY * alpha; + } else { + pose.mixRotate = base.mixRotate + (rotate - base.mixRotate) * alpha; + pose.mixX = base.mixX + (x - base.mixX) * alpha; + pose.mixY = base.mixY + (y - base.mixY) * alpha; + pose.mixScaleX = base.mixScaleX + (scaleX - base.mixScaleX) * alpha; + pose.mixScaleY = base.mixScaleY + (scaleY - base.mixScaleY) * alpha; + pose.mixShearY = base.mixShearY + (shearY - base.mixShearY) * alpha; + } + } + }; + var ConstraintTimeline1 = class extends CurveTimeline1 { + constraintIndex; + constructor(frameCount, bezierCount, constraintIndex, property) { + super(frameCount, bezierCount, `${property}|${constraintIndex}`); + this.constraintIndex = constraintIndex; + } + }; + var PathConstraintPositionTimeline = class extends ConstraintTimeline1 { + constructor(frameCount, bezierCount, constraintIndex) { + super(frameCount, bezierCount, constraintIndex, 18 /* pathConstraintPosition */); + this.additive = true; + } + apply(skeleton, lastTime, time, firedEvents, alpha, from, add, out, appliedPose) { + const constraint = skeleton.constraints[this.constraintIndex]; + if (constraint.active) { + const pose = appliedPose ? constraint.appliedPose : constraint.pose; + pose.position = this.getAbsoluteValue(time, alpha, from, add, pose.position, constraint.data.setupPose.position); + } + } + }; + var PathConstraintSpacingTimeline = class extends ConstraintTimeline1 { + constructor(frameCount, bezierCount, constraintIndex) { + super(frameCount, bezierCount, constraintIndex, 19 /* pathConstraintSpacing */); + } + apply(skeleton, lastTime, time, firedEvents, alpha, from, add, out, appliedPose) { + const constraint = skeleton.constraints[this.constraintIndex]; + if (constraint.active) { + const pose = appliedPose ? constraint.appliedPose : constraint.pose; + pose.spacing = this.getAbsoluteValue( + time, + alpha, + from, + false, + pose.spacing, + constraint.data.setupPose.spacing + ); + } + } + }; + var PathConstraintMixTimeline = class extends CurveTimeline { + constraintIndex; + constructor(frameCount, bezierCount, constraintIndex) { + super(frameCount, bezierCount, `${20 /* pathConstraintMix */}|${constraintIndex}`); + this.constraintIndex = constraintIndex; + } + getFrameEntries() { + return 4; + } + /** Sets the time and color for the specified frame. + * @param frame Between 0 and `frameCount`, inclusive. + * @param time The frame time in seconds. */ + setFrame(frame, time, mixRotate, mixX, mixY) { + const frames = this.frames; + frame <<= 2; + frames[frame] = time; + frames[ + frame + 1 + /*ROTATE*/ + ] = mixRotate; + frames[ + frame + 2 + /*X*/ + ] = mixX; + frames[ + frame + 3 + /*Y*/ + ] = mixY; + } + apply(skeleton, lastTime, time, firedEvents, alpha, from, add, out, appliedPose) { + const constraint = skeleton.constraints[this.constraintIndex]; + if (!constraint.active) return; + const pose = appliedPose ? constraint.appliedPose : constraint.pose; + const frames = this.frames; + if (time < frames[0]) { + const setup = constraint.data.setupPose; + switch (from) { + case 1 /* setup */: { + pose.mixRotate = setup.mixRotate; + pose.mixX = setup.mixX; + pose.mixY = setup.mixY; + break; + } + case 2 /* first */: { + pose.mixRotate += (setup.mixRotate - pose.mixRotate) * alpha; + pose.mixX += (setup.mixX - pose.mixX) * alpha; + pose.mixY += (setup.mixY - pose.mixY) * alpha; + break; + } + } + return; + } + let rotate, x, y; + const i = Timeline.search( + frames, + time, + 4 + /*ENTRIES*/ + ); + const curveType = this.curves[i >> 2]; + switch (curveType) { + case 0: { + const before = frames[i]; + rotate = frames[ + i + 1 + /*ROTATE*/ + ]; + x = frames[ + i + 2 + /*X*/ + ]; + y = frames[ + i + 3 + /*Y*/ + ]; + const t = (time - before) / (frames[ + i + 4 + /*ENTRIES*/ + ] - before); + rotate += (frames[ + i + 4 + 1 + /*ROTATE*/ + ] - rotate) * t; + x += (frames[ + i + 4 + 2 + /*X*/ + ] - x) * t; + y += (frames[ + i + 4 + 3 + /*Y*/ + ] - y) * t; + break; + } + case 1: + rotate = frames[ + i + 1 + /*ROTATE*/ + ]; + x = frames[ + i + 2 + /*X*/ + ]; + y = frames[ + i + 3 + /*Y*/ + ]; + break; + default: + rotate = this.getBezierValue( + time, + i, + 1, + curveType - 2 + /*BEZIER*/ + ); + x = this.getBezierValue( + time, + i, + 2, + curveType + 18 - 2 + /*BEZIER*/ + ); + y = this.getBezierValue( + time, + i, + 3, + curveType + 18 * 2 - 2 + /*BEZIER*/ + ); + } + const base = from === 1 /* setup */ ? constraint.data.setupPose : pose; + if (add) { + pose.mixRotate = base.mixRotate + rotate * alpha; + pose.mixX = base.mixX + x * alpha; + pose.mixY = base.mixY + y * alpha; + } else { + pose.mixRotate = base.mixRotate + (rotate - base.mixRotate) * alpha; + pose.mixX = base.mixX + (x - base.mixX) * alpha; + pose.mixY = base.mixY + (y - base.mixY) * alpha; + } + } + }; + var PhysicsConstraintTimeline = class extends ConstraintTimeline1 { + /** @param constraintIndex -1 for all physics constraints in the skeleton. */ + constructor(frameCount, bezierCount, constraintIndex, property) { + super(frameCount, bezierCount, constraintIndex, property); + } + apply(skeleton, lastTime, time, firedEvents, alpha, from, add, out, appliedPose) { + if (add && !this.additive) add = false; + if (this.constraintIndex === -1) { + const value = time >= this.frames[0] ? this.getCurveValue(time) : 0; + const constraints = skeleton.physics; + for (const constraint of constraints) { + if (constraint.active && this.global(constraint.data)) { + const pose = appliedPose ? constraint.appliedPose : constraint.pose; + this.set(pose, this.getAbsoluteValue(time, alpha, from, add, this.get(pose), this.get(constraint.data.setupPose), value)); + } + } + } else { + const constraint = skeleton.constraints[this.constraintIndex]; + if (constraint.active) { + const pose = appliedPose ? constraint.appliedPose : constraint.pose; + this.set(pose, this.getAbsoluteValue(time, alpha, from, add, this.get(pose), this.get(constraint.data.setupPose))); + } + } + } + }; + var PhysicsConstraintInertiaTimeline = class extends PhysicsConstraintTimeline { + constructor(frameCount, bezierCount, constraintIndex) { + super(frameCount, bezierCount, constraintIndex, 21 /* physicsConstraintInertia */); + } + get(pose) { + return pose.inertia; + } + set(pose, value) { + pose.inertia = value; + } + global(constraint) { + return constraint.inertiaGlobal; + } + }; + var PhysicsConstraintStrengthTimeline = class extends PhysicsConstraintTimeline { + constructor(frameCount, bezierCount, constraintIndex) { + super(frameCount, bezierCount, constraintIndex, 22 /* physicsConstraintStrength */); + } + get(pose) { + return pose.strength; + } + set(pose, value) { + pose.strength = value; + } + global(constraint) { + return constraint.strengthGlobal; + } + }; + var PhysicsConstraintDampingTimeline = class extends PhysicsConstraintTimeline { + constructor(frameCount, bezierCount, constraintIndex) { + super(frameCount, bezierCount, constraintIndex, 23 /* physicsConstraintDamping */); + } + get(pose) { + return pose.damping; + } + set(pose, value) { + pose.damping = value; + } + global(constraint) { + return constraint.dampingGlobal; + } + }; + var PhysicsConstraintMassTimeline = class extends PhysicsConstraintTimeline { + constructor(frameCount, bezierCount, constraintIndex) { + super(frameCount, bezierCount, constraintIndex, 24 /* physicsConstraintMass */); + } + get(pose) { + return 1 / pose.massInverse; + } + set(pose, value) { + pose.massInverse = 1 / value; + } + global(constraint) { + return constraint.massGlobal; + } + }; + var PhysicsConstraintWindTimeline = class extends PhysicsConstraintTimeline { + constructor(frameCount, bezierCount, constraintIndex) { + super(frameCount, bezierCount, constraintIndex, 25 /* physicsConstraintWind */); + this.additive = true; + } + get(pose) { + return pose.wind; + } + set(pose, value) { + pose.wind = value; + } + global(constraint) { + return constraint.windGlobal; + } + }; + var PhysicsConstraintGravityTimeline = class extends PhysicsConstraintTimeline { + constructor(frameCount, bezierCount, constraintIndex) { + super(frameCount, bezierCount, constraintIndex, 26 /* physicsConstraintGravity */); + this.additive = true; + } + get(pose) { + return pose.gravity; + } + set(pose, value) { + pose.gravity = value; + } + global(constraint) { + return constraint.gravityGlobal; + } + }; + var PhysicsConstraintMixTimeline = class extends PhysicsConstraintTimeline { + constructor(frameCount, bezierCount, constraintIndex) { + super(frameCount, bezierCount, constraintIndex, 27 /* physicsConstraintMix */); + } + get(pose) { + return pose.mix; + } + set(pose, value) { + pose.mix = value; + } + global(constraint) { + return constraint.mixGlobal; + } + }; + var PhysicsConstraintResetTimeline = class _PhysicsConstraintResetTimeline extends Timeline { + static propertyIds = [28 /* physicsConstraintReset */.toString()]; + /** The index of the physics constraint in {@link Skeleton.contraints} that will be reset when this timeline is + * applied, or -1 if all physics constraints in the skeleton will be reset. */ + constraintIndex; + /** @param constraintIndex -1 for all physics constraints in the skeleton. */ + constructor(frameCount, constraintIndex) { + super(frameCount, ..._PhysicsConstraintResetTimeline.propertyIds); + this.constraintIndex = constraintIndex; + this.instant = true; + } + getFrameCount() { + return this.frames.length; + } + /** Sets the time for the specified frame. + * @param frame Between 0 and `frameCount`, inclusive. */ + setFrame(frame, time) { + this.frames[frame] = time; + } + /** Resets the physics constraint when frames > `lastTime` and <= `time`. */ + apply(skeleton, lastTime, time, firedEvents, alpha, from, add, out, appliedPose) { + let constraint; + if (this.constraintIndex !== -1) { + constraint = skeleton.constraints[this.constraintIndex]; + if (!constraint.active) return; + } + const frames = this.frames; + if (lastTime > time) { + this.apply(skeleton, lastTime, Number.MAX_VALUE, [], alpha, from, false, false, false); + lastTime = -1; + } else if (lastTime >= frames[frames.length - 1]) + return; + if (time < frames[0]) return; + if (lastTime < frames[0] || time >= frames[Timeline.search(frames, lastTime) + 1]) { + if (constraint != null) + constraint.reset(skeleton); + else { + for (const constraint2 of skeleton.physics) { + if (constraint2.active) constraint2.reset(skeleton); + } + } + } + } + }; + var SliderTimeline = class extends ConstraintTimeline1 { + constructor(frameCount, bezierCount, constraintIndex) { + super(frameCount, bezierCount, constraintIndex, 30 /* sliderTime */); + } + apply(skeleton, lastTime, time, firedEvents, alpha, from, add, out, appliedPose) { + const constraint = skeleton.constraints[this.constraintIndex]; + if (constraint.active) { + const pose = appliedPose ? constraint.appliedPose : constraint.pose; + pose.time = this.getAbsoluteValue(time, alpha, from, add, pose.time, constraint.data.setupPose.time); + } + } + }; + var SliderMixTimeline = class extends ConstraintTimeline1 { + constructor(frameCount, bezierCount, constraintIndex) { + super(frameCount, bezierCount, constraintIndex, 31 /* sliderMix */); + this.additive = true; + } + apply(skeleton, lastTime, time, firedEvents, alpha, from, add, out, appliedPose) { + const constraint = skeleton.constraints[this.constraintIndex]; + if (constraint.active) { + const pose = appliedPose ? constraint.appliedPose : constraint.pose; + pose.mix = this.getAbsoluteValue(time, alpha, from, add, pose.mix, constraint.data.setupPose.mix); + } + } + }; + + // spine-core/src/AnimationState.ts + var AnimationState = class _AnimationState { + static emptyAnimation = new Animation("", [], 0); + /** The AnimationStateData to look up mix durations. */ + data; + /** The list of tracks that have had animations. May contain null entries for tracks that currently have no animation. */ + tracks = []; + /** Multiplier for the delta time when the animation state is updated, causing time for all animations and mixes to play slower + * or faster. Defaults to 1. + * + * See {@link TrackEntry.timeScale} to affect a single animation. */ + timeScale = 1; + unkeyedState = 0; + events = []; + listeners = []; + queue = new EventQueue(this); + propertyIds = /* @__PURE__ */ new Map(); + animationsChanged = false; + trackEntryPool = new Pool(() => new TrackEntry()); + constructor(data) { + this.data = data; + } + /** Increments each track entry {@link TrackEntry.trackTime}, setting queued animations as current if needed. */ + update(delta) { + delta *= this.timeScale; + const tracks = this.tracks; + for (let i = 0, n = tracks.length; i < n; i++) { + const current = tracks[i]; + if (!current) continue; + current.animationLast = current.nextAnimationLast; + current.trackLast = current.nextTrackLast; + let currentDelta = delta * current.timeScale; + if (current.delay > 0) { + current.delay -= currentDelta; + if (current.delay > 0) continue; + currentDelta = -current.delay; + current.delay = 0; + } + let next = current.next; + if (next) { + const nextTime = current.trackLast - next.delay; + if (nextTime >= 0) { + next.delay = 0; + next.trackTime += current.timeScale === 0 ? 0 : (nextTime / current.timeScale + delta) * next.timeScale; + current.trackTime += currentDelta; + this.setTrack(i, next, true); + while (next.mixingFrom) { + next.mixTime += delta; + next = next.mixingFrom; + } + continue; + } + } else if (current.trackLast >= current.trackEnd && !current.mixingFrom) { + tracks[i] = null; + this.queue.end(current); + this.clearNext(current); + continue; + } + if (current.mixingFrom && this.updateMixingFrom(current, delta)) { + let from = current.mixingFrom; + current.mixingFrom = null; + if (from) from.mixingTo = null; + while (from) { + this.queue.end(from); + from = from.mixingFrom; + } + } + current.trackTime += currentDelta; + } + this.queue.drain(); + } + /** Returns true when all mixing from entries are complete. */ + updateMixingFrom(to, delta) { + const from = to.mixingFrom; + if (!from) return true; + const finished = this.updateMixingFrom(from, delta); + from.animationLast = from.nextAnimationLast; + from.trackLast = from.nextTrackLast; + if (to.nextTrackLast !== -1 && to.mixTime >= to.mixDuration) { + if (from.totalAlpha === 0 || to.mixDuration === 0) { + to.mixingFrom = from.mixingFrom; + if (from.mixingFrom != null) from.mixingFrom.mixingTo = to; + if (from.totalAlpha === 0) { + for (let next = to; next.mixingTo != null; next = next.mixingTo) + next.keepHold = true; + } + this.queue.end(from); + } + return finished; + } + from.trackTime += delta * from.timeScale; + to.mixTime += delta; + return false; + } + /** Poses the skeleton using the track entry animations. The animation state is not changed, so can be applied to multiple + * skeletons to pose them identically. + * @returns True if any animations were applied. */ + apply(skeleton) { + if (!skeleton) throw new Error("skeleton cannot be null."); + if (this.animationsChanged) this._animationsChanged(); + const events = this.events; + const tracks = this.tracks; + let applied = false; + for (let i = 0, n = tracks.length; i < n; i++) { + const current = tracks[i]; + if (!current || current.delay > 0) continue; + applied = true; + let alpha = current.alpha; + if (current.mixingFrom) + alpha *= this.applyMixingFrom(current, skeleton); + else if (current.trackTime >= current.trackEnd && !current.next) + alpha = 0; + let animationLast = current.animationLast, animationTime = current.getAnimationTime(), applyTime = animationTime; + let applyEvents = events; + if (current.reverse) { + applyTime = current.animation.duration - applyTime; + applyEvents = null; + } + const timelines = current.animation.timelines; + const timelineCount = timelines.length; + if (i === 0 && alpha === 1) { + for (let ii = 0; ii < timelineCount; ii++) { + Utils.webkit602BugfixHelper(alpha); + const timeline = timelines[ii]; + if (timeline instanceof AttachmentTimeline) + this.applyAttachmentTimeline(timeline, skeleton, applyTime, 1 /* setup */, true); + else + timeline.apply(skeleton, animationLast, applyTime, applyEvents, alpha, 1 /* setup */, false, false, false); + } + } else { + const timelineMode = current.timelineMode; + const retainAttachments = alpha >= current.alphaAttachmentThreshold; + const add = current.additive, shortestRotation = add || current.shortestRotation; + const firstFrame = !shortestRotation && current.timelinesRotation.length !== timelineCount << 1; + if (firstFrame) current.timelinesRotation.length = timelineCount << 1; + for (let ii = 0; ii < timelineCount; ii++) { + const timeline = timelines[ii]; + const from = timelineMode[ii] & MODE; + if (!shortestRotation && timeline instanceof RotateTimeline) { + this.applyRotateTimeline(timeline, skeleton, applyTime, alpha, from, current.timelinesRotation, ii << 1, firstFrame); + } else if (timeline instanceof AttachmentTimeline) { + this.applyAttachmentTimeline(timeline, skeleton, applyTime, from, retainAttachments); + } else { + Utils.webkit602BugfixHelper(alpha); + timeline.apply(skeleton, animationLast, applyTime, applyEvents, alpha, from, add, false, false); + } + } + } + if (current.reverse) this.eventsReverse(current, animationLast, animationTime); + this.queueEvents(current, animationTime); + events.length = 0; + current.nextAnimationLast = animationTime; + current.nextTrackLast = current.trackTime; + } + const setupState = this.unkeyedState + ATTACH_SETUP; + const slots = skeleton.slots; + for (let i = 0, n = skeleton.slots.length; i < n; i++) { + const slot = slots[i]; + if (slot.attachmentState === setupState) { + const attachmentName = slot.data.attachmentName; + slot.pose.setAttachment(!attachmentName ? null : skeleton.getAttachment(slot.data.index, attachmentName)); + } + } + this.unkeyedState += 2; + this.queue.drain(); + return applied; + } + applyMixingFrom(to, skeleton) { + const from = to.mixingFrom; + const fromMix = from.mixingFrom !== null ? this.applyMixingFrom(from, skeleton) : 1; + const mix = to.mix(); + const a = from.alpha * fromMix, keep = 1 - mix * to.alpha; + const alphaMix = a * (1 - mix), alphaHold = keep > 0 ? alphaMix / keep : a; + const timelines = from.animation.timelines; + const timelineCount = timelines.length; + const timelineMode = from.timelineMode; + const timelineHoldMix = from.timelineHoldMix; + const retainAttachments = mix < from.mixAttachmentThreshold, drawOrder = mix < from.mixDrawOrderThreshold; + const add = from.additive, shortestRotation = add || from.shortestRotation; + const firstFrame = !shortestRotation && from.timelinesRotation.length !== timelineCount << 1; + if (firstFrame) from.timelinesRotation.length = timelineCount << 1; + const timelinesRotation = from.timelinesRotation; + let animationLast = from.animationLast, animationTime = from.getAnimationTime(), applyTime = animationTime; + let events = null; + if (from.reverse) + applyTime = from.animation.duration - applyTime; + else if (mix < from.eventThreshold) + events = this.events; + from.totalAlpha = 0; + for (let i = 0; i < timelineCount; i++) { + const timeline = timelines[i]; + const mode = timelineMode[i]; + const mixFrom = mode & MODE; + let alpha = 0; + if ((mode & HOLD) !== 0) { + const holdMix = timelineHoldMix[i]; + alpha = holdMix == null ? alphaHold : alphaHold * (1 - holdMix.mix()); + } else { + if (!drawOrder && timeline instanceof DrawOrderTimeline && mixFrom === 0 /* current */) continue; + alpha = alphaMix; + } + from.totalAlpha += alpha; + if (!shortestRotation && timeline instanceof RotateTimeline) { + this.applyRotateTimeline(timeline, skeleton, applyTime, alpha, mixFrom, timelinesRotation, i << 1, firstFrame); + } else if (timeline instanceof AttachmentTimeline) + this.applyAttachmentTimeline( + timeline, + skeleton, + applyTime, + mixFrom, + retainAttachments && alpha >= from.alphaAttachmentThreshold + ); + else { + const out = !drawOrder || !(timeline instanceof DrawOrderTimeline) || mixFrom === 0 /* current */; + timeline.apply(skeleton, animationLast, applyTime, events, alpha, mixFrom, add, out, false); + } + } + if (from.reverse && mix < from.eventThreshold) this.eventsReverse(from, animationLast, animationTime); + if (to.mixDuration > 0) this.queueEvents(from, animationTime); + this.events.length = 0; + from.nextAnimationLast = animationTime; + from.nextTrackLast = from.trackTime; + return mix; + } + /** Applies the attachment timeline and sets {@link Slot.attachmentState}. + * @param retain True if the attachment remains after apply, false if temporary for deform timelines. */ + applyAttachmentTimeline(timeline, skeleton, time, from, retain) { + const slot = skeleton.slots[timeline.slotIndex]; + if (!slot.bone.active) return; + if (!retain && slot.attachmentState === this.unkeyedState + ATTACH_RETAIN) return; + let setup = time < timeline.frames[0]; + let name = null; + if (!setup) { + name = timeline.attachmentNames[Timeline.search(timeline.frames, time)]; + setup = !retain && name == null; + } + if (setup) { + if (from === 0 /* current */) return; + name = slot.data.attachmentName; + } + slot.pose.setAttachment(name == null ? null : skeleton.getAttachment(slot.data.index, name)); + if (retain) + slot.attachmentState = this.unkeyedState + ATTACH_RETAIN; + else if (!setup) + slot.attachmentState = this.unkeyedState + ATTACH_SETUP; + } + /** Applies the rotate timeline, mixing with the current pose while keeping the same rotation direction chosen as the shortest + * the first time the mixing was applied. */ + applyRotateTimeline(timeline, skeleton, time, alpha, from, timelinesRotation, i, firstFrame) { + if (firstFrame) timelinesRotation[i] = 0; + if (alpha === 1) { + timeline.apply(skeleton, 0, time, null, 1, from, false, false, false); + return; + } + const bone = skeleton.bones[timeline.boneIndex]; + if (!bone.active) return; + const pose = bone.pose, setup = bone.data.setupPose; + const frames = timeline.frames; + let r1, r2; + if (time < frames[0]) { + switch (from) { + case 1 /* setup */: { + pose.rotation = setup.rotation; + return; + } + case 0 /* current */: { + return; + } + } + r1 = pose.rotation; + r2 = setup.rotation; + } else { + r1 = from === 1 /* setup */ ? setup.rotation : pose.rotation; + r2 = setup.rotation + timeline.getCurveValue(time); + } + let total = 0, diff = r2 - r1; + diff -= Math.ceil(diff / 360 - 0.5) * 360; + if (diff === 0) { + total = timelinesRotation[i]; + } else { + let lastTotal = 0, lastDiff = 0; + if (firstFrame) { + lastTotal = 0; + lastDiff = diff; + } else { + lastTotal = timelinesRotation[i]; + lastDiff = timelinesRotation[i + 1]; + } + const loops = lastTotal - lastTotal % 360; + total = diff + loops; + let current = diff >= 0, dir = lastTotal >= 0; + if (Math.abs(lastDiff) <= 90 && MathUtils.signum(lastDiff) !== MathUtils.signum(diff)) { + if (Math.abs(lastTotal - loops) > 180) { + total += 360 * MathUtils.signum(lastTotal); + dir = current; + } else if (loops !== 0) + total -= 360 * MathUtils.signum(lastTotal); + else + dir = current; + } + if (dir !== current) total += 360 * MathUtils.signum(lastTotal); + timelinesRotation[i] = total; + } + timelinesRotation[i + 1] = diff; + pose.rotation = r1 + total * alpha; + } + queueEvents(entry, animationTime) { + const animationStart = entry.animationStart, animationEnd = entry.animationEnd, duration = animationEnd - animationStart; + const reverse = entry.reverse; + let split = entry.trackLast % duration; + if (reverse) split = duration - split; + const events = this.events; + let i = 0, n = events.length; + for (; i < n; i++) { + const event = events[i]; + if (event.time < split !== reverse) break; + if (event.time >= animationStart && event.time <= animationEnd) this.queue.event(entry, event); + } + let complete = false; + if (entry.loop) { + if (duration === 0) + complete = true; + else { + const cycles = Math.floor(entry.trackTime / duration); + complete = cycles > 0 && cycles > Math.floor(entry.trackLast / duration); + } + } else + complete = animationTime >= animationEnd && entry.animationLast < animationEnd; + if (complete) this.queue.complete(entry); + for (; i < n; i++) { + const event = events[i]; + if (event.time >= animationStart && event.time <= animationEnd) this.queue.event(entry, event); + } + } + eventsReverse(entry, animationLast, animationTime) { + const duration = entry.animation.duration, from = duration - animationLast, to = duration - animationTime; + const timelines = entry.animation.timelines; + for (let i = 0, n = entry.animation.timelines.length; i < n; i++) { + const eventTimeline = timelines[i]; + if (!(eventTimeline instanceof EventTimeline)) continue; + const timelineEvents = eventTimeline.events; + const frames = eventTimeline.frames; + const frameCount = frames.length; + if (from >= to) { + for (let ii = 0; ii < frameCount; ii++) { + if (frames[ii] < to) continue; + if (frames[ii] >= from) break; + this.events.push(timelineEvents[ii]); + } + } else { + for (let ii2 = 0; ii2 < frameCount; ii2++) { + if (frames[ii2] >= from) break; + this.events.push(timelineEvents[ii2]); + } + let ii = 0; + for (; ii < frameCount; ii++) + if (frames[ii] >= to) break; + for (; ii < frameCount; ii++) + this.events.push(timelineEvents[ii]); + } + } + } + /** Removes all animations from all tracks, leaving skeletons in their current pose. + * + * Usually you want to use {@link setEmptyAnimations} to mix the skeletons back to the setup pose, rather than leaving + * them in their current pose. */ + clearTracks() { + const oldDrainDisabled = this.queue.drainDisabled; + this.queue.drainDisabled = true; + for (let i = 0, n = this.tracks.length; i < n; i++) + this.clearTrack(i); + this.tracks.length = 0; + this.queue.drainDisabled = oldDrainDisabled; + this.queue.drain(); + } + /** Removes all animations from the track, leaving skeletons in their current pose. + * + * Usually you want to use {@link setEmptyAnimation} to mix the skeletons back to the setup pose, rather than + * leaving them in their current pose. */ + clearTrack(trackIndex) { + if (trackIndex < 0) throw new Error("trackIndex must be >= 0."); + if (trackIndex >= this.tracks.length) return; + const current = this.tracks[trackIndex]; + if (!current) return; + this.queue.end(current); + this.clearNext(current); + let entry = current; + while (true) { + const from = entry.mixingFrom; + if (!from) break; + this.queue.end(from); + entry.mixingFrom = null; + entry.mixingTo = null; + entry = from; + } + this.tracks[current.trackIndex] = null; + this.queue.drain(); + } + setTrack(index, current, interrupt) { + const from = this.expandToIndex(index); + this.tracks[index] = current; + current.previous = null; + if (from) { + from.next = null; + if (interrupt) this.queue.interrupt(from); + current.mixingFrom = from; + from.mixingTo = current; + current.mixTime = 0; + from.timelinesRotation.length = 0; + } + this.queue.start(current); + } + setAnimation(trackIndex, animationNameOrAnimation, loop = false) { + if (typeof animationNameOrAnimation === "string") + return this.setAnimation1(trackIndex, animationNameOrAnimation, loop); + return this.setAnimation2(trackIndex, animationNameOrAnimation, loop); + } + setAnimation1(trackIndex, animationName, loop = false) { + const animation = this.data.skeletonData.findAnimation(animationName); + if (!animation) throw new Error(`Animation not found: ${animationName}`); + return this.setAnimation2(trackIndex, animation, loop); + } + /** Sets the current animation for a track, discarding any queued animations. + * + * If the formerly current track entry is for the same animation and was never applied to a skeleton, it is replaced (not mixed + * from). + * @param loop If true, the animation will repeat. If false it will not, instead its last frame is applied if played beyond its + * duration. In either case {@link TrackEntry.getTrackEnd} determines when the track is cleared. + * @return A track entry to allow further customization of animation playback. References to the track entry must not be kept + * after the {@link AnimationStateListener.dispose} event occurs. */ + setAnimation2(trackIndex, animation, loop = false) { + if (trackIndex < 0) throw new Error("trackIndex must be >= 0."); + if (!animation) throw new Error("animation cannot be null."); + let interrupt = true; + let current = this.expandToIndex(trackIndex); + if (current) { + if (current.nextTrackLast === -1 && current.animation === animation) { + this.tracks[trackIndex] = current.mixingFrom; + this.queue.interrupt(current); + this.queue.end(current); + this.clearNext(current); + current = current.mixingFrom; + interrupt = false; + } else + this.clearNext(current); + } + const entry = this.trackEntry(trackIndex, animation, loop, current); + this.setTrack(trackIndex, entry, interrupt); + this.queue.drain(); + return entry; + } + addAnimation(trackIndex, animationNameOrAnimation, loop = false, delay = 0) { + if (typeof animationNameOrAnimation === "string") + return this.addAnimation1(trackIndex, animationNameOrAnimation, loop, delay); + return this.addAnimation2(trackIndex, animationNameOrAnimation, loop, delay); + } + addAnimation1(trackIndex, animationName, loop = false, delay = 0) { + const animation = this.data.skeletonData.findAnimation(animationName); + if (!animation) throw new Error(`Animation not found: ${animationName}`); + return this.addAnimation2(trackIndex, animation, loop, delay); + } + addAnimation2(trackIndex, animation, loop = false, delay = 0) { + if (trackIndex < 0) throw new Error("trackIndex must be >= 0."); + if (!animation) throw new Error("animation cannot be null."); + let last = this.expandToIndex(trackIndex); + if (last) { + while (last.next) + last = last.next; + } + const entry = this.trackEntry(trackIndex, animation, loop, last); + if (!last) { + this.setTrack(trackIndex, entry, true); + this.queue.drain(); + if (delay < 0) delay = 0; + } else { + last.next = entry; + entry.previous = last; + if (delay <= 0) delay = Math.max(delay + last.getTrackComplete() - entry.mixDuration, 0); + } + entry.delay = delay; + return entry; + } + /** Sets an empty animation for a track, discarding any queued animations, and sets the track entry's + * {@link TrackEntry.mixduration}. An empty animation has no timelines and serves as a placeholder for mixing in or out. + * + * Mixing out is done by setting an empty animation with a mix duration using either {@link setEmptyAnimation}, + * {@link setEmptyAnimations}, or {@link addEmptyAnimation}. Mixing to an empty animation causes + * the previous animation to be applied less and less over the mix duration. Properties keyed in the previous animation + * transition to the value from lower tracks or to the setup pose value if no lower tracks key the property. A mix duration of + * 0 still needs to be applied one more time to mix out, so the properties it was animating are reverted. + * + * Mixing in is done by first setting an empty animation, then adding an animation using + * {@link addAnimation} with the desired delay (an empty animation has a duration of 0) and on + * the returned track entry, set the {@link TrackEntry.setMixDuration}. Mixing from an empty animation causes the new + * animation to be applied more and more over the mix duration. Properties keyed in the new animation transition from the value + * from lower tracks or from the setup pose value if no lower tracks key the property to the value keyed in the new animation. + * + * See Empty animations in the Spine + * Runtimes Guide. */ + setEmptyAnimation(trackIndex, mixDuration = 0) { + const entry = this.setAnimation(trackIndex, _AnimationState.emptyAnimation, false); + entry.mixDuration = mixDuration; + entry.trackEnd = mixDuration; + return entry; + } + /** Adds an empty animation to be played after the current or last queued animation for a track, and sets the track entry's + * {@link TrackEntry.mixDuration}. If the track has no entries, it is equivalent to calling + * {@link setEmptyAnimation}. + * + * See {@link setEmptyAnimation} and + * Empty animations in the Spine Runtimes + * Guide. + * @param delay If > 0, sets {@link TrackEntry.delay}. If <= 0, the delay set is the duration of the previous track entry minus + * any mix duration plus the specified `delay` (ie the mix ends at (when `delay` = 0) or before + * (when `delay` < 0) the previous track entry duration). If the previous entry is looping, its next loop + * completion is used instead of its duration. + * @return A track entry to allow further customization of animation playback. References to the track entry must not be kept + * after the {@link AnimationStateListener.dispose} event occurs. */ + addEmptyAnimation(trackIndex, mixDuration = 0, delay = 0) { + const entry = this.addAnimation(trackIndex, _AnimationState.emptyAnimation, false, delay); + if (delay <= 0) entry.delay = Math.max(entry.delay + entry.mixDuration - mixDuration, 0); + entry.mixDuration = mixDuration; + entry.trackEnd = mixDuration; + return entry; + } + /** Sets an empty animation for every track, discarding any queued animations, and mixes to it over the specified mix duration. + * + * See Empty animations in the Spine + * Runtimes Guide. */ + setEmptyAnimations(mixDuration = 0) { + const oldDrainDisabled = this.queue.drainDisabled; + this.queue.drainDisabled = true; + for (let i = 0, n = this.tracks.length; i < n; i++) { + const current = this.tracks[i]; + if (current) this.setEmptyAnimation(current.trackIndex, mixDuration); + } + this.queue.drainDisabled = oldDrainDisabled; + this.queue.drain(); + } + expandToIndex(index) { + if (index < this.tracks.length) return this.tracks[index]; + Utils.ensureArrayCapacity(this.tracks, index + 1, null); + this.tracks.length = index + 1; + return null; + } + /** @param last May be null. */ + trackEntry(trackIndex, animation, loop, last) { + const entry = this.trackEntryPool.obtain(); + entry.reset(); + entry.trackIndex = trackIndex; + entry.animation = animation; + entry.loop = loop; + entry.additive = false; + entry.reverse = false; + entry.shortestRotation = false; + entry.eventThreshold = 0; + entry.alphaAttachmentThreshold = 0; + entry.mixAttachmentThreshold = 0; + entry.mixDrawOrderThreshold = 0; + entry.animationStart = 0; + entry.animationEnd = animation.duration; + entry.animationLast = -1; + entry.nextAnimationLast = -1; + entry.delay = 0; + entry.trackTime = 0; + entry.trackLast = -1; + entry.nextTrackLast = -1; + entry.trackEnd = Number.MAX_VALUE; + entry.timeScale = 1; + entry.alpha = 1; + entry.mixTime = 0; + entry.mixDuration = !last ? 0 : this.data.getMix(last.animation, animation); + entry.totalAlpha = 0; + entry.keepHold = false; + return entry; + } + /** Removes {@link TrackEntry.next} and all entries after it for the specified entry. */ + clearNext(entry) { + let next = entry.next; + while (next) { + this.queue.dispose(next); + next = next.next; + } + entry.next = null; + } + _animationsChanged() { + this.animationsChanged = false; + const tracks = this.tracks; + for (let i = 0, n = tracks.length; i < n; i++) { + const track = tracks[i]; + if (!track) continue; + let entry = track; + while (entry.mixingFrom) + entry = entry.mixingFrom; + do { + this.computeHold(entry, track); + entry = entry.mixingTo; + } while (entry); + } + this.propertyIds.clear(); + } + computeHold(entry, track) { + const timelines = entry.animation.timelines; + const timelinesCount = entry.animation.timelines.length; + const timelineMode = entry.timelineMode; + timelineMode.length = timelinesCount; + const timelineHoldMix = entry.timelineHoldMix; + timelineHoldMix.length = 0; + const add = entry.additive, keepHold = entry.keepHold; + const to = entry.mixingTo; + for (let i = 0; i < timelinesCount; i++) { + const timeline = timelines[i]; + const ids = timeline.propertyIds; + const from = this.from(track, timeline, ids); + if (add && timeline.additive) { + timelineMode[i] = from; + continue; + } + let mode; + if (to === null || timeline.instant || to.additive && timeline.additive || !to.animation?.hasTimeline(ids)) + mode = from; + else { + mode = from | HOLD; + for (let next = to.mixingTo; next != null; next = next.mixingTo) { + if (next.additive && timeline.additive || !next.animation?.hasTimeline(ids)) { + if (next.mixDuration > 0) timelineHoldMix[i] = next; + break; + } + } + } + if (keepHold) mode = mode & ~HOLD | timelineMode[i] & HOLD; + timelineMode[i] = mode; + } + } + from(track, timeline, ids) { + const propertyIds = this.propertyIds; + let from = SETUP; + for (let i = 0, n = ids.length; i < n; i++) { + const owner = propertyIds.get(ids[i]); + if (owner === void 0) { + propertyIds.set(ids[i], track); + } else { + if (owner !== track) { + while (++i < n) + if (!propertyIds.has(ids[i])) propertyIds.set(ids[i], track); + return CURRENT; + } + from = FIRST; + } + } + if (timeline instanceof DrawOrderFolderTimeline) { + const first = propertyIds.get(DrawOrderTimeline.propertyID); + if (first != null) return first !== track ? CURRENT : FIRST; + } + return from; + } + /** Returns the track entry for the animation currently playing on the track, or null if no animation is currently playing. */ + getTrack(trackIndex) { + if (trackIndex < 0) throw new Error("trackIndex must be >= 0."); + if (trackIndex >= this.tracks.length) return null; + return this.tracks[trackIndex]; + } + /** Adds a listener to receive events for all track entries. */ + addListener(listener) { + if (!listener) throw new Error("listener cannot be null."); + this.listeners.push(listener); + } + /** Removes the listener added with {@link addListener}. */ + removeListener(listener) { + const index = this.listeners.indexOf(listener); + if (index >= 0) this.listeners.splice(index, 1); + } + /** Removes all listeners added with {@link addListener}. */ + clearListeners() { + this.listeners.length = 0; + } + /** Discards all listener notifications that have not yet been delivered. This can be useful to call from an + * {@link AnimationStateListener} when it is known that further notifications that may have been already queued for delivery + * are not wanted because new animations are being set. */ + clearListenerNotifications() { + this.queue.clear(); + } + }; + var TrackEntry = class { + /** The animation to apply for this track entry. */ + animation = null; + previous = null; + /** The animation queued to start after this animation, or null. `next` makes up a linked list. */ + next = null; + /** The track entry for the previous animation when mixing to this animation, or null if no mixing is currently occurring. + * When mixing from multiple animations, `mixingFrom` makes up a doubly linked list. */ + mixingFrom = null; + /** The track entry for the next animation when mixing from this animation, or null if no mixing is currently occurring. + * When mixing to multiple animations, `mixingTo` makes up a doubly linked list. */ + mixingTo = null; + /** The listener for events generated by this track entry, or null. + * + * A track entry returned from {@link AnimationState.setAnimation} is already the current animation + * for the track, so the callback for listener {@link AnimationStateListener.start} will not be called. */ + listener = null; + /** The index of the track where this track entry is either current or queued. + * + * See {@link AnimationState.getTrack}. */ + trackIndex = 0; + /** If true, the animation will repeat. If false it will not, instead its last frame is applied if played beyond its + * duration. */ + loop = false; + /** When true, timelines in this animation that support additive have their values added to the setup or current pose values + * instead of replacing them. Additive can be set for a new track entry only before {@link AnimationState.apply} + * is next called. */ + additive = false; + /** If true, the animation will be applied in reverse. */ + reverse = false; + /** If true, mixing rotation between tracks always uses the shortest rotation direction. If the rotation is animated, the + * shortest rotation direction may change during the mix. + * + * If false, the shortest rotation direction is remembered when the mix starts and the same direction is used for the rest + * of the mix. Defaults to false. + * + * See {@link resetRotationDirections}. */ + shortestRotation = false; + keepHold = false; + /** When the interpolated mix percentage is less than the `eventThreshold` , event timelines are applied while + * this animation is being mixed out. Defaults to 0, so event timelines are not applied while this animation is being mixed + * out. */ + eventThreshold = 0; + /** When the interpolated mix percentage is less than the `mixAttachmentThreshold`, attachment timelines are + * applied while this animation is being mixed out. Defaults to 0, so attachment timelines are not applied while this + * animation is being mixed out. */ + mixAttachmentThreshold = 0; + /** When the computed alpha is greater than `alphaAttachmentThreshold`, attachment timelines are applied. The + * computed alpha includes {@link alpha} and the interpolated mix percentage. Defaults to 0, so attachment timelines are + * always applied. */ + alphaAttachmentThreshold = 0; + /** When the interpolated mix percentage is less than the `mixAttachmentThreshold`, attachment timelines are + * applied while this animation is being mixed out. Defaults to 0, so attachment timelines are not applied while this + * animation is being mixed out. */ + mixDrawOrderThreshold = 0; + /** The time in seconds for the first frame of this animation, both initially and after looping. Defaults to 0. + * + * When setting `animationStart` time, {@link animationLast} can be set to the same value to avoid firing events + * from the start of the animation. */ + animationStart = 0; + /** The time in seconds for the last frame of this animation. Past this time, non-looping animations hold the pose at this + * time while looping animations will loop back to {@link animationStart}. Defaults to the {@link Animation.duration}. */ + animationEnd = 0; + /** The time in seconds this animation was last applied. Some timelines use this for one-time triggers. For example, when + * this animation is applied, event timelines will fire all events between the `animationLast` time (exclusive) + * and `animationTime` (inclusive). Defaults to -1 to ensure triggers on frame 0 happen the first time this + * animation is applied. */ + animationLast = 0; + nextAnimationLast = 0; + /** Seconds to postpone playing the animation. Must be >= 0. When this track entry is the current track entry, + * `delay` postpones incrementing the {@link trackTime}. When this track entry is queued, `delay` is + * the time from the start of the previous animation to when this track entry will become the current track entry (ie when + * the previous track entry {@link trackTime} >= this track entry's `delay`). + * + * {@link timeScale} affects the delay. + * + * When passing `delay` <= 0 to {@link AnimationState.addAnimation} this + * `delay` is set using a mix duration from {@link AnimationStateData}. To change the {@link mixDuration} + * afterward, use {@link setMixDuration} so this `delay` is adjusted. */ + delay = 0; + /** The time in seconds this track entry has been the current track entry, starting at 0 and increasing forever. Compare to + * {@link getAnimationTime}, which is always between {@link animationStart} and {@link animationEnd}. + * + * The track time can be set to start the animation at a time other than 0, without affecting looping. When doing so, + * {@link animationLast} can be set to the same value to avoid firing events from the start of the animation. + * + * To set the time an animation starts and loops, use {@link animationStart} and {@link animationEnd}. */ + trackTime = 0; + trackLast = 0; + nextTrackLast = 0; + /** The track time in seconds when this animation will be removed from the track. Defaults to the highest possible float + * value, meaning the animation will be applied until a new animation is set or the track is cleared. If the track end time + * is reached, no other animations are queued for playback, and mixing from any previous animations is complete, then the + * properties keyed by the animation are set to the setup pose and the track is cleared. + * + * Usually you want to use {@link AnimationState.addEmptyAnimation} rather than have the animation + * abruptly cease being applied, leaving the current pose. */ + trackEnd = 0; + /** Multiplier for the delta time when this track entry is updated, causing time for this animation to pass slower or + * faster. Defaults to 1. + * + * Values < 0 are not supported. To play an animation in reverse, use {@link reverse}. + * + * {@link mixTime} is not affected by track entry time scale, so {@link mixDuration} may need to be adjusted to match the + * animation speed. + * + * When using {@link AnimationState.addAnimation} with a `delay` <= 0, the + * {@link delay} is set using the mix duration from {@link AnimationState.data}, assuming time scale to be 1. If the time + * scale is not 1, the delay may need to be adjusted. + * + * See {@link AnimationState.timeScale} to affect all animations. */ + timeScale = 0; + /** Values < 1 mix this animation with the skeleton's current pose (either the setup pose or the pose from lower tracks). + * Defaults to 1, which overwrites the skeleton's current pose with this animation. + * + * Alpha should be 1 on track 0. + * + * See {@link getAlphaAttachmentThreshold}. */ + alpha = 0; + /** Seconds elapsed from 0 to the {@link mixDuration} when mixing from the previous animation to this animation. May + * be slightly more than `mixDuration` when the mix is complete. */ + mixTime = 0; + /** Seconds for mixing from the previous animation to this animation. Defaults to the value provided by + * {@link AnimationStateData.getMix} based on the animation before this animation (if any). + * + * A mix duration of 0 still needs to be applied one more time to mix out, so the the properties it was animating are + * reverted. A mix duration of 0 can be set at any time to end the mix on the next + * {@link AnimationState.update | update}. + * + * The `mixDuration` can be set manually rather than use the value from + * {@link AnimationStateData.getMix}. In that case, the `mixDuration` can be set for a new + * track entry only before {@link AnimationState.update} is next called. + * + * When using {@link AnimationState.addAnimation} with a `delay` <= 0, the + * {@link getDelay} is set using the mix duration from {@link AnimationState.data}. If `mixDuration` is set + * afterward, the delay needs to be adjusted: + * + * 

+     * entry.mixDuration = 0.25;

+     * entry.delay = entry.previous.getTrackComplete() - entry.mixDuration + 0;
+     *
+ * + * Alternatively, use {@link setMixDuration} to set both the mix duration and recompute the delay:
+ * + * 
+      entry.setMixDuration(0.25f, 0); // mixDuration, delay
+     *
+ */ + mixDuration = 0; + totalAlpha = 0; + mixInterpolation = Interpolation.linear; + /** Sets both {@link getMixDuration} and {@link getDelay}. + * @param delay If > 0, sets {@link getDelay}. If <= 0, the delay set is the duration of the previous track entry minus + * the specified mix duration plus the specified `delay` (ie the mix ends at (when `delay` = + * 0) or before (when `delay` < 0) the previous track entry duration). If the previous entry is + * looping, its next loop completion is used instead of its duration. */ + setMixDuration(mixDuration, delay) { + this.mixDuration = mixDuration; + if (delay !== void 0) { + if (delay <= 0) delay = this.previous == null ? 0 : Math.max(delay + this.previous.getTrackComplete() - mixDuration, 0); + this.delay = delay; + } + } + /** The interpolation to apply to the mix percentage ({@link mixTime} / {@link mixDuration}) when mixing from the previous + * animation to this animation. Defaults to linear. */ + setMixInterpolation(mixInterpolation) { + if (!mixInterpolation) throw new Error("mixInterpolation cannot be null."); + this.mixInterpolation = mixInterpolation; + } + mix() { + if (this.mixDuration === 0) return 1; + let mix = this.mixTime / this.mixDuration; + if (mix >= 1) return 1; + if (this.mixInterpolation === Interpolation.linear) return mix; + mix = this.mixInterpolation.apply(mix); + if (mix < 0) return 0; + if (mix > 1) return 1; + return mix; + } + /** For each timeline: + * - Bits 0-1: MixFrom. + * - Bit 2, HOLD: 0 = mix out using alphaMix, 1 = apply full alpha to prevent dipping. Timeline is first on its track to + * set the property and the next entry (mixingTo) also sets it. When held, timelineHoldMix's mix controls how the hold fades + * out (for 3+ entry chains where the chain eventually stops setting the property). */ + timelineMode = []; + timelineHoldMix = []; + timelinesRotation = []; + reset() { + this.next = null; + this.previous = null; + this.mixingFrom = null; + this.mixingTo = null; + this.mixInterpolation = Interpolation.linear; + this.animation = null; + this.listener = null; + this.timelineMode.length = 0; + this.timelineHoldMix.length = 0; + this.timelinesRotation.length = 0; + } + /** Uses {@link trackTime} to compute the `animationTime`, which is always between {@link animationStart} and + * {@link animationEnd}. When `trackTime` is 0, `animationTime` is equal to the + * `animationStart` time. */ + getAnimationTime() { + if (!this.loop) return Math.min(this.trackTime + this.animationStart, this.animationEnd); + const duration = this.animationEnd - this.animationStart; + if (duration === 0) return this.animationStart; + return this.trackTime % duration + this.animationStart; + } + setAnimationLast(animationLast) { + this.animationLast = animationLast; + this.nextAnimationLast = animationLast; + } + /** Returns true if at least one loop has been completed. + * + * See {@link AnimationStateListener.complete}. */ + isComplete() { + return this.trackTime >= this.animationEnd - this.animationStart; + } + /** When {@link shortestRotation} is false, this clears the directions for mixing this entry's rotation. This can be useful + * to avoid bones rotating the long way around when using {@link getAlpha} and starting animations on other tracks. + * + * Mixing involves finding a rotation between two others. There are two possible solutions: the short or the long way + * around. When the two rotations change over time, which direction is the short or long way can also change. If the short + * way was always chosen, bones flip to the other side when that direction became the long way. TrackEntry chooses the short + * way the first time it is applied and remembers that direction. Resetting that direction makes it choose a new short way + * on the next apply. */ + resetRotationDirections() { + this.timelinesRotation.length = 0; + } + /** If this track entry is non-looping, this is the track time in seconds when {@link animationEnd} is reached, or the + * current {@link trackTime} if it has already been reached. + * + * If this track entry is looping, this is the track time when this animation will reach its next {@link animationEnd} (the + * next loop completion). */ + getTrackComplete() { + const duration = this.animationEnd - this.animationStart; + if (duration !== 0) { + if (this.loop) return duration * (1 + (this.trackTime / duration | 0)); + if (this.trackTime < duration) return duration; + } + return this.trackTime; + } + /** Returns true if this track entry has been applied at least once. + * + * See {@link AnimationState.apply}. */ + wasApplied() { + return this.nextTrackLast !== -1; + } + /** Returns true if there is a {@link next} track entry and it will become the current track entry during the next + * {@link AnimationState.update}. */ + isNextReady() { + return this.next != null && this.nextTrackLast - this.next.delay >= 0; + } + }; + var EventQueue = class { + objects = []; + drainDisabled = false; + animState; + constructor(animState) { + this.animState = animState; + } + start(entry) { + this.objects.push(0 /* start */); + this.objects.push(entry); + this.animState.animationsChanged = true; + } + interrupt(entry) { + this.objects.push(1 /* interrupt */); + this.objects.push(entry); + } + end(entry) { + this.objects.push(2 /* end */); + this.objects.push(entry); + this.animState.animationsChanged = true; + } + dispose(entry) { + this.objects.push(3 /* dispose */); + this.objects.push(entry); + } + complete(entry) { + this.objects.push(4 /* complete */); + this.objects.push(entry); + } + event(entry, event) { + this.objects.push(5 /* event */); + this.objects.push(entry); + this.objects.push(event); + } + drain() { + if (this.drainDisabled) return; + this.drainDisabled = true; + for (let i = 0; i < this.objects.length; i += 2) { + const objects = this.objects; + const type = objects[i]; + const entry = objects[i + 1]; + const listeners = this.animState.listeners.slice(); + switch (type) { + case 0 /* start */: + if (entry.listener?.start) entry.listener.start(entry); + for (let ii = 0; ii < listeners.length; ii++) { + const listener = listeners[ii]; + if (listener.start) listener.start(entry); + } + break; + case 1 /* interrupt */: + if (entry.listener?.interrupt) entry.listener.interrupt(entry); + for (let ii = 0; ii < listeners.length; ii++) { + const listener = listeners[ii]; + if (listener.interrupt) listener.interrupt(entry); + } + break; + // biome-ignore lint/suspicious/noFallthroughSwitchClause: reference runtime does fall through + case 2 /* end */: + if (entry.listener?.end) entry.listener.end(entry); + for (let ii = 0; ii < listeners.length; ii++) { + const listener = listeners[ii]; + if (listener.end) listener.end(entry); + } + // Fall through. + case 3 /* dispose */: + if (entry.listener?.dispose) entry.listener.dispose(entry); + for (let ii = 0; ii < listeners.length; ii++) { + const listener = listeners[ii]; + if (listener.dispose) listener.dispose(entry); + } + this.animState.trackEntryPool.free(entry); + break; + case 4 /* complete */: + if (entry.listener?.complete) entry.listener.complete(entry); + for (let ii = 0; ii < listeners.length; ii++) { + const listener = listeners[ii]; + if (listener.complete) listener.complete(entry); + } + break; + case 5 /* event */: { + const event = objects[i++ + 2]; + if (entry.listener?.event) entry.listener.event(entry, event); + for (let ii = 0; ii < listeners.length; ii++) { + const listener = listeners[ii]; + if (listener.event) listener.event(entry, event); + } + break; + } + } + } + this.clear(); + this.drainDisabled = false; + } + clear() { + this.objects.length = 0; + } + }; + var EventType = /* @__PURE__ */ ((EventType2) => { + EventType2[EventType2["start"] = 0] = "start"; + EventType2[EventType2["interrupt"] = 1] = "interrupt"; + EventType2[EventType2["end"] = 2] = "end"; + EventType2[EventType2["dispose"] = 3] = "dispose"; + EventType2[EventType2["complete"] = 4] = "complete"; + EventType2[EventType2["event"] = 5] = "event"; + return EventType2; + })(EventType || {}); + var AnimationStateAdapter = class { + start(entry) { + } + interrupt(entry) { + } + end(entry) { + } + dispose(entry) { + } + complete(entry) { + } + event(entry, event) { + } + }; + var CURRENT = 0; + var SETUP = 1; + var FIRST = 2; + var MODE = 3; + var HOLD = 4; + var ATTACH_SETUP = 1; + var ATTACH_RETAIN = 2; + + // spine-core/src/AnimationStateData.ts + var AnimationStateData = class { + /** The SkeletonData to look up animations when they are specified by name. */ + skeletonData; + animationToMixTime = {}; + /** The mix duration to use when no mix duration has been defined between two animations. */ + defaultMix = 0; + constructor(skeletonData) { + if (!skeletonData) throw new Error("skeletonData cannot be null."); + this.skeletonData = skeletonData; + } + setMix(from, to, duration) { + if (typeof from === "string") + return this.setMix1(from, to, duration); + return this.setMix2(from, to, duration); + } + setMix1(fromName, toName, duration) { + const from = this.skeletonData.findAnimation(fromName); + if (!from) throw new Error(`Animation not found: ${fromName}`); + const to = this.skeletonData.findAnimation(toName); + if (!to) throw new Error(`Animation not found: ${toName}`); + this.setMix2(from, to, duration); + } + setMix2(from, to, duration) { + if (!from) throw new Error("from cannot be null."); + if (!to) throw new Error("to cannot be null."); + const key = `${from.name}.${to.name}`; + this.animationToMixTime[key] = duration; + } + /** Returns the mix duration to use when changing from the specified animation to the other on the same track, or the + * {@link defaultMix} if no mix duration has been set. */ + getMix(from, to) { + const key = `${from.name}.${to.name}`; + const value = this.animationToMixTime[key]; + return value === void 0 ? this.defaultMix : value; + } + }; + + // spine-core/src/AssetManagerBase.ts + var AssetManagerBase = class { + constructor(textureLoader, pathPrefix = "", downloader = new Downloader(), cache = new AssetCache()) { + this.textureLoader = textureLoader; + this.pathPrefix = pathPrefix; + this.downloader = downloader; + this.cache = cache; + } + errors = {}; + toLoad = 0; + loaded = 0; + texturePmaInfo = {}; + start(path) { + this.toLoad++; + return this.pathPrefix + path; + } + success(callback, path, asset) { + this.toLoad--; + this.loaded++; + this.cache.assets[path] = asset; + this.cache.assetsRefCount[path] = (this.cache.assetsRefCount[path] || 0) + 1; + if (callback) callback(path, asset); + } + error(callback, path, message) { + this.toLoad--; + this.loaded++; + this.errors[path] = message; + if (callback) callback(path, message); + } + loadAll() { + const promise = new Promise((resolve, reject) => { + const check = () => { + if (this.isLoadingComplete()) { + if (this.hasErrors()) reject(this.errors); + else resolve(this); + return; + } + requestAnimationFrame(check); + }; + requestAnimationFrame(check); + }); + return promise; + } + setRawDataURI(path, data) { + this.downloader.rawDataUris[this.pathPrefix + path] = data; + } + loadBinary(path, success = () => { + }, error = () => { + }) { + path = this.start(path); + if (this.reuseAssets(path, success, error)) return; + this.cache.assetsLoaded[path] = new Promise((resolve, reject) => { + this.downloader.downloadBinary(path, (data) => { + this.success(success, path, data); + resolve(data); + }, (status, responseText) => { + const errorMsg = `Couldn't load binary ${path}: status ${status}, ${responseText}`; + this.error(error, path, errorMsg); + reject(errorMsg); + }); + }); + } + loadText(path, success = () => { + }, error = () => { + }) { + path = this.start(path); + this.downloader.downloadText(path, (data) => { + this.success(success, path, data); + }, (status, responseText) => { + this.error(error, path, `Couldn't load text ${path}: status ${status}, ${responseText}`); + }); + } + loadJson(path, success = () => { + }, error = () => { + }) { + path = this.start(path); + if (this.reuseAssets(path, success, error)) return; + this.cache.assetsLoaded[path] = new Promise((resolve, reject) => { + this.downloader.downloadJson(path, (data) => { + this.success(success, path, data); + resolve(data); + }, (status, responseText) => { + const errorMsg = `Couldn't load JSON ${path}: status ${status}, ${responseText}`; + this.error(error, path, errorMsg); + reject(errorMsg); + }); + }); + } + reuseAssets(path, success = () => { + }, error = () => { + }) { + const loadedStatus = this.cache.getAsset(path); + const alreadyExistsOrLoading = loadedStatus !== void 0; + if (alreadyExistsOrLoading) { + this.cache.assetsLoaded[path] = loadedStatus.then((data) => { + data = data instanceof Image || data instanceof ImageBitmap ? this.textureLoader(data) : data; + this.success(success, path, data); + return data; + }).catch((errorMsg) => { + this.error(error, path, errorMsg); + return void 0; + }); + } + return alreadyExistsOrLoading; + } + loadTexture(path, success = () => { + }, error = () => { + }) { + path = this.start(path); + if (this.reuseAssets(path, success, error)) return; + const pma = this.texturePmaInfo[path]; + this.cache.assetsLoaded[path] = new Promise((resolve, reject) => { + const isBrowser = !!(typeof window !== "undefined" && typeof navigator !== "undefined" && window.document); + const isWebWorker = !isBrowser; + if (isWebWorker) { + fetch(path, { mode: "cors" }).then((response) => { + if (response.ok) return response.blob(); + const errorMsg = `Couldn't load image: ${path}`; + this.error(error, path, `Couldn't load image: ${path}`); + reject(errorMsg); + }).then((blob) => { + return blob ? createImageBitmap(blob, { premultiplyAlpha: "none", colorSpaceConversion: "none" }) : null; + }).then((bitmap) => { + if (bitmap) { + const texture = this.createTexture(path, pma, bitmap); + this.success(success, path, texture); + resolve(texture); + } + ; + }); + } else { + const image = new Image(); + image.crossOrigin = "anonymous"; + image.onload = () => { + const texture = this.createTexture(path, pma, image); + this.success(success, path, texture); + resolve(texture); + }; + image.onerror = () => { + const errorMsg = `Couldn't load image: ${path}`; + this.error(error, path, errorMsg); + reject(errorMsg); + }; + if (this.downloader.rawDataUris[path]) path = this.downloader.rawDataUris[path]; + image.src = path; + } + }); + } + loadTextureAtlas(path, success = () => { + }, error = () => { + }, fileAlias) { + const index = path.lastIndexOf("/"); + const parent = index >= 0 ? path.substring(0, index + 1) : ""; + path = this.start(path); + if (this.reuseAssets(path, success, error)) return; + this.cache.assetsLoaded[path] = new Promise((resolve, reject) => { + this.downloader.downloadText(path, (atlasText) => { + try { + const atlas = this.createTextureAtlas(atlasText, parent, path, fileAlias); + let toLoad = atlas.pages.length, abort = false; + if (toLoad === 0) { + this.success(success, path, atlas); + resolve(atlas); + return; + } + for (const page of atlas.pages) { + this.loadTexture( + this.texturePath(parent, page.name, fileAlias), + (imagePath, texture) => { + if (!abort) { + page.setTexture(texture); + if (--toLoad === 0) { + this.success(success, path, atlas); + resolve(atlas); + } + } + }, + (imagePath, message) => { + if (!abort) { + const errorMsg = `Couldn't load texture ${path} page image: ${imagePath}`; + this.error(error, path, errorMsg); + reject(errorMsg); + } + abort = true; + } + ); + } + } catch (e) { + const errorMsg = `Couldn't parse texture atlas ${path}: ${e.message}`; + this.error(error, path, errorMsg); + reject(errorMsg); + } + }, (status, responseText) => { + const errorMsg = `Couldn't load texture atlas ${path}: status ${status}, ${responseText}`; + this.error(error, path, errorMsg); + reject(errorMsg); + }); + }); + } + loadTextureAtlasButNoTextures(path, success = () => { + }, error = () => { + }) { + const index = path.lastIndexOf("/"); + const parent = index >= 0 ? path.substring(0, index + 1) : ""; + path = this.start(path); + if (this.reuseAssets(path, success, error)) return; + this.cache.assetsLoaded[path] = new Promise((resolve, reject) => { + this.downloader.downloadText(path, (atlasText) => { + try { + const atlas = this.createTextureAtlas(atlasText, parent, path); + this.success(success, path, atlas); + resolve(atlas); + } catch (e) { + const errorMsg = `Couldn't parse texture atlas ${path}: ${e.message}`; + this.error(error, path, errorMsg); + reject(errorMsg); + } + }, (status, responseText) => { + const errorMsg = `Couldn't load texture atlas ${path}: status ${status}, ${responseText}`; + this.error(error, path, errorMsg); + reject(errorMsg); + }); + }); + } + async loadBinaryAsync(path) { + return new Promise((resolve, reject) => { + this.loadBinary( + path, + (_, binary) => resolve(binary), + (_, message) => reject(message) + ); + }); + } + async loadJsonAsync(path) { + return new Promise((resolve, reject) => { + this.loadJson( + path, + (_, object) => resolve(object), + (_, message) => reject(message) + ); + }); + } + async loadTextureAsync(path) { + return new Promise((resolve, reject) => { + this.loadTexture( + path, + (_, texture) => resolve(texture), + (_, message) => reject(message) + ); + }); + } + async loadTextureAtlasAsync(path) { + return new Promise((resolve, reject) => { + this.loadTextureAtlas( + path, + (_, atlas) => resolve(atlas), + (_, message) => reject(message) + ); + }); + } + async loadTextureAtlasButNoTexturesAsync(path) { + return new Promise((resolve, reject) => { + this.loadTextureAtlasButNoTextures( + path, + (_, atlas) => resolve(atlas), + (_, message) => reject(message) + ); + }); + } + setCache(cache) { + this.cache = cache; + } + get(path) { + return this.cache.assets[this.pathPrefix + path]; + } + require(path) { + path = this.pathPrefix + path; + const asset = this.cache.assets[path]; + if (asset) return asset; + const error = this.errors[path]; + throw Error(`Asset not found: ${path}${error ? ` +${error}` : ""}`); + } + remove(path) { + path = this.pathPrefix + path; + const asset = this.cache.assets[path]; + if (asset.dispose) asset.dispose(); + delete this.cache.assets[path]; + delete this.cache.assetsRefCount[path]; + delete this.cache.assetsLoaded[path]; + return asset; + } + removeAll() { + for (const path in this.cache.assets) { + const asset = this.cache.assets[path]; + if (asset.dispose) asset.dispose(); + } + this.cache.assets = {}; + this.cache.assetsLoaded = {}; + this.cache.assetsRefCount = {}; + } + isLoadingComplete() { + return this.toLoad === 0; + } + getToLoad() { + return this.toLoad; + } + getLoaded() { + return this.loaded; + } + dispose() { + this.removeAll(); + } + // dispose asset only if it's not used by others + disposeAsset(path) { + const asset = this.cache.assets[path]; + if (asset instanceof TextureAtlas) { + asset.dispose(); + return; + } + this.disposeAssetInternal(path); + } + hasErrors() { + return Object.keys(this.errors).length > 0; + } + getErrors() { + return this.errors; + } + disposeAssetInternal(path) { + if (this.cache.assetsRefCount[path] > 0 && --this.cache.assetsRefCount[path] === 0) { + return this.remove(path); + } + } + createTextureAtlas(atlasText, parentPath, path, fileAlias) { + const atlas = new TextureAtlas(atlasText); + atlas.dispose = () => { + if (this.cache.assetsRefCount[path] <= 0) return; + this.disposeAssetInternal(path); + for (const page of atlas.pages) { + page.texture?.dispose(); + } + }; + for (const page of atlas.pages) { + const texturePath = this.texturePath(parentPath, page.name, fileAlias); + this.texturePmaInfo[this.pathPrefix + texturePath] = page.pma; + } + return atlas; + } + createTexture(path, pma, image) { + const texture = this.textureLoader(image, pma); + const textureDispose = texture.dispose.bind(texture); + texture.dispose = () => { + if (this.disposeAssetInternal(path)) textureDispose(); + }; + return texture; + } + texturePath(parentPath, pageName, fileAlias) { + if (!fileAlias) return parentPath + pageName; + return fileAlias[pageName]; + } + }; + var AssetCache = class _AssetCache { + assets = {}; + assetsRefCount = {}; + assetsLoaded = {}; + static AVAILABLE_CACHES = /* @__PURE__ */ new Map(); + static getCache(id) { + const cache = _AssetCache.AVAILABLE_CACHES.get(id); + if (cache) return cache; + const newCache = new _AssetCache(); + _AssetCache.AVAILABLE_CACHES.set(id, newCache); + return newCache; + } + async addAsset(path, asset) { + this.assetsLoaded[path] = Promise.resolve(asset); + this.assets[path] = asset; + return asset; + } + getAsset(path) { + return this.assetsLoaded[path]; + } + }; + var Downloader = class { + callbacks = {}; + rawDataUris = {}; + dataUriToString(dataUri) { + if (!dataUri.startsWith("data:")) { + throw new Error("Not a data URI."); + } + let base64Idx = dataUri.indexOf("base64,"); + if (base64Idx !== -1) { + base64Idx += "base64,".length; + return atob(dataUri.substr(base64Idx)); + } else { + return dataUri.substr(dataUri.indexOf(",") + 1); + } + } + base64ToUint8Array(base64) { + var binary_string = window.atob(base64); + var len = binary_string.length; + var bytes = new Uint8Array(len); + for (let i = 0; i < len; i++) { + bytes[i] = binary_string.charCodeAt(i); + } + return bytes; + } + dataUriToUint8Array(dataUri) { + if (!dataUri.startsWith("data:")) { + throw new Error("Not a data URI."); + } + let base64Idx = dataUri.indexOf("base64,"); + if (base64Idx === -1) throw new Error("Not a binary data URI."); + base64Idx += "base64,".length; + return this.base64ToUint8Array(dataUri.substr(base64Idx)); + } + downloadText(url, success, error) { + if (this.start(url, success, error)) return; + const rawDataUri = this.rawDataUris[url]; + if (rawDataUri && !rawDataUri.includes(".")) { + try { + this.finish(url, 200, this.dataUriToString(rawDataUri)); + } catch (e) { + this.finish(url, 400, JSON.stringify(e)); + } + return; + } + const request = new XMLHttpRequest(); + request.overrideMimeType("text/html"); + request.open("GET", rawDataUri ? rawDataUri : url, true); + const done = () => { + this.finish(url, request.status, request.responseText); + }; + request.onload = done; + request.onerror = done; + request.send(); + } + downloadJson(url, success, error) { + this.downloadText(url, (data) => { + success(JSON.parse(data)); + }, error); + } + downloadBinary(url, success, error) { + if (this.start(url, success, error)) return; + const rawDataUri = this.rawDataUris[url]; + if (rawDataUri && !rawDataUri.includes(".")) { + try { + this.finish(url, 200, this.dataUriToUint8Array(rawDataUri)); + } catch (e) { + this.finish(url, 400, JSON.stringify(e)); + } + return; + } + const request = new XMLHttpRequest(); + request.open("GET", rawDataUri ? rawDataUri : url, true); + request.responseType = "arraybuffer"; + const onerror = () => { + this.finish(url, request.status, request.response); + }; + request.onload = () => { + if (request.status === 200 || request.status === 0) + this.finish(url, 200, new Uint8Array(request.response)); + else + onerror(); + }; + request.onerror = onerror; + request.send(); + } + start(url, success, error) { + let callbacks = this.callbacks[url]; + try { + if (callbacks) return true; + this.callbacks[url] = callbacks = []; + } finally { + callbacks.push(success, error); + } + } + finish(url, status, data) { + const callbacks = this.callbacks[url]; + delete this.callbacks[url]; + if (status === 200 || status === 0) { + for (let i = 0, n = callbacks.length; i < n; i += 2) + callbacks[i](data); + } else { + for (let i = 1, n = callbacks.length; i < n; i += 2) + callbacks[i](status, data); + } + } + }; + + // spine-core/src/attachments/BoundingBoxAttachment.ts + var BoundingBoxAttachment = class _BoundingBoxAttachment extends VertexAttachment { + color = new Color(1, 1, 1, 1); + constructor(name) { + super(name); + } + copy() { + const copy = new _BoundingBoxAttachment(this.name); + this.copyTo(copy); + copy.color.setFromColor(this.color); + return copy; + } + }; + + // spine-core/src/attachments/ClippingAttachment.ts + var ClippingAttachment = class _ClippingAttachment extends VertexAttachment { + /** Clipping is performed between the clipping attachment's slot and the end slot. If null, clipping is done until the end of + * the skeleton's rendering. */ + endSlot = null; + /** When true the clipping polygon is treated as convex for more efficient clipping. If the polygon deforms to concave then the + * convex hull is used. When false the clipping polygon can be concave and if so has an additional CPU cost. Inverse clipping + * always uses convex. */ + convex = false; + /** When false, everything inside the clipping polygon is visible. When true, everything outside the clipping polygon is + * visible and clipping is convex. */ + inverse = false; + // Nonessential. + /** The color of the clipping polygon as it was in Spine. Available only when nonessential data was exported. Clipping polygons + * are not usually rendered at runtime. */ + color = new Color(0.2275, 0.2275, 0.8078, 1); + // ce3a3aff + constructor(name) { + super(name); + } + copy() { + const copy = new _ClippingAttachment(this.name); + this.copyTo(copy); + copy.endSlot = this.endSlot; + copy.convex = this.convex; + copy.inverse = this.inverse; + copy.color.setFromColor(this.color); + return copy; + } + }; + + // spine-core/src/attachments/PathAttachment.ts + var PathAttachment = class _PathAttachment extends VertexAttachment { + /** The lengths along the path in the setup pose from the start of the path to the end of each Bezier curve. */ + lengths = []; + /** If true, the start and end knots are connected. */ + closed = false; + /** If true, additional calculations are performed to make computing positions along the path more accurate so movement along + * the path has a constant speed. */ + constantSpeed = false; + /** The color of the path as it was in Spine. Available only when nonessential data was exported. Paths are not usually + * rendered at runtime. */ + color = new Color(1, 1, 1, 1); + constructor(name) { + super(name); + } + copy() { + const copy = new _PathAttachment(this.name); + this.copyTo(copy); + copy.lengths = []; + Utils.arrayCopy(this.lengths, 0, copy.lengths, 0, this.lengths.length); + copy.closed = this.closed; + copy.constantSpeed = this.constantSpeed; + copy.color.setFromColor(this.color); + return copy; + } + }; + + // spine-core/src/attachments/PointAttachment.ts + var PointAttachment = class _PointAttachment extends VertexAttachment { + /** The local x position. */ + x = 0; + /** The local y position. */ + y = 0; + /** The local rotation in degrees, counter clockwise. */ + rotation = 0; + /** The color of the point attachment as it was in Spine. Available only when nonessential data was exported. Point attachments + * are not usually rendered at runtime. */ + color = new Color(0.38, 0.94, 0, 1); + constructor(name) { + super(name); + } + /** Computes the world position from the local position. */ + computeWorldPosition(bone, point) { + point.x = this.x * bone.a + this.y * bone.b + bone.worldX; + point.y = this.x * bone.c + this.y * bone.d + bone.worldY; + return point; + } + /** Computes the world rotation from the local rotation. */ + computeWorldRotation(bone) { + const r = this.rotation * MathUtils.degRad, cos = Math.cos(r), sin = Math.sin(r); + const x = cos * bone.a + sin * bone.b; + const y = cos * bone.c + sin * bone.d; + return MathUtils.atan2Deg(y, x); + } + copy() { + const copy = new _PointAttachment(this.name); + copy.x = this.x; + copy.y = this.y; + copy.rotation = this.rotation; + copy.color.setFromColor(this.color); + return copy; + } + }; + + // spine-core/src/AtlasAttachmentLoader.ts + var AtlasAttachmentLoader = class { + atlas; + allowMissingRegions; + constructor(atlas, allowMissingRegions = false) { + this.atlas = atlas; + this.allowMissingRegions = allowMissingRegions; + } + /** Sets each {@link Sequence.regions} by calling {@link findRegion} for each texture region using + * {@link Sequence.getPath}. */ + findRegions(name, basePath, sequence) { + const regions = sequence.regions; + for (let i = 0, n = regions.length; i < n; i++) + regions[i] = this.findRegion(name, sequence.getPath(basePath, i)); + } + /** Looks for the region with the specified path. If not found and {@link allowMissingRegions} is false, an error is + * raised. */ + findRegion(name, path) { + const region = this.atlas.findRegion(path); + if (!region && !this.allowMissingRegions) + throw new Error(`Region not found in atlas: ${path} (attachment: ${name})`); + return region; + } + newRegionAttachment(skin, placeholder, name, path, sequence) { + this.findRegions(name, path, sequence); + return new RegionAttachment(name, sequence); + } + newMeshAttachment(skin, placeholder, name, path, sequence) { + this.findRegions(name, path, sequence); + return new MeshAttachment(name, sequence); + } + newBoundingBoxAttachment(skin, placeholder, name) { + return new BoundingBoxAttachment(name); + } + newPathAttachment(skin, placeholder, name) { + return new PathAttachment(name); + } + newPointAttachment(skin, placeholder, name) { + return new PointAttachment(name); + } + newClippingAttachment(skin, placeholder, name) { + return new ClippingAttachment(name); + } + }; + + // spine-core/src/PosedData.ts + var PosedData = class { + name; + setupPose; + /** When true, {@link Skeleton.updateWorldTransform} only updates this constraint if the {@link Skeleton.skin} + * contains this constraint. + * + * See {@link Skin.constraints}. */ + skinRequired = false; + constructor(name, setupPose) { + if (name == null) throw new Error("name cannot be null."); + this.name = name; + this.setupPose = setupPose; + } + }; + + // spine-core/src/BoneData.ts + var BoneData = class _BoneData extends PosedData { + /** The index of the bone in {@link Skeleton.bones}. */ + index = 0; + /** The parent bone, or null if this bone is the root. */ + parent = null; + /** The bone's length. */ + length = 0; + // Nonessential. + /** The color of the bone as it was in Spine. Available only when nonessential data was exported. Bones are not usually + * rendered at runtime. */ + color = new Color(); + /** The bone icon name as it was in Spine, or null if nonessential data was not exported. */ + icon; + /** The bone icon's display size scale, or 1 if nonessential data was not exported. */ + iconSize = 1; + /** The bone icon's display rotation in degrees, or 0 if nonessential data was not exported. */ + iconRotation = 0; + /** False if the bone was hidden in Spine and nonessential data was exported. Does not affect runtime rendering. */ + visible = false; + constructor(index, name, parent) { + super(name, new BonePose()); + if (index < 0) throw new Error("index must be >= 0."); + if (!name) throw new Error("name cannot be null."); + this.index = index; + this.parent = parent; + } + copy(parent) { + const copy = new _BoneData(this.index, this.name, parent); + copy.length = this.length; + copy.setupPose.set(this.setupPose); + return copy; + } + }; + var Inherit = /* @__PURE__ */ ((Inherit2) => { + Inherit2[Inherit2["Normal"] = 0] = "Normal"; + Inherit2[Inherit2["OnlyTranslation"] = 1] = "OnlyTranslation"; + Inherit2[Inherit2["NoRotationOrReflection"] = 2] = "NoRotationOrReflection"; + Inherit2[Inherit2["NoScale"] = 3] = "NoScale"; + Inherit2[Inherit2["NoScaleOrReflection"] = 4] = "NoScaleOrReflection"; + return Inherit2; + })(Inherit || {}); + + // spine-core/src/BonePose.ts + var BonePose = class { + bone; + /** The local x translation. */ + x = 0; + /** The local y translation. */ + y = 0; + /** The local rotation in degrees, counter clockwise. */ + rotation = 0; + /** The local scaleX. */ + scaleX = 0; + /** The local scaleY. */ + scaleY = 0; + /** The local shearX. */ + shearX = 0; + /** The local shearY. */ + shearY = 0; + inherit = 0 /* Normal */; + /** The world transform `[a b][c d]` x-axis x component. */ + a = 0; + /** The world transform `[a b][c d]` y-axis x component. */ + b = 0; + /** The world transform `[a b][c d]` x-axis y component. */ + c = 0; + /** The world transform `[a b][c d]` y-axis y component. */ + d = 0; + /** The world X position. If changed, {@link updateLocalTransform} should be called. */ + worldY = 0; + /** The world Y position. If changed, {@link updateLocalTransform} should be called. */ + worldX = 0; + world = 0; + local = 0; + set(pose) { + if (pose == null) throw new Error("pose cannot be null."); + this.x = pose.x; + this.y = pose.y; + this.rotation = pose.rotation; + this.scaleX = pose.scaleX; + this.scaleY = pose.scaleY; + this.shearX = pose.shearX; + this.shearY = pose.shearY; + this.inherit = pose.inherit; + } + setPosition(x, y) { + this.x = x; + this.y = y; + } + setScale(scaleOrX, scaleY) { + this.scaleX = scaleOrX; + this.scaleY = scaleY === void 0 ? scaleOrX : scaleY; + } + /** Determines how parent world transforms affect this bone. */ + getInherit() { + return this.inherit; + } + setInherit(inherit) { + if (inherit == null) throw new Error("inherit cannot be null."); + this.inherit = inherit; + } + /** Called by {@link Skeleton.updateCache} to compute the world transform, if needed. */ + update(skeleton, physics) { + if (this.world !== skeleton._update) this.updateWorldTransform(skeleton); + } + /** Computes the world transform using the parent bone's world transform and this applied local pose. Child bones are not + * updated. + * + * See World transforms in the Spine + * Runtimes Guide. */ + updateWorldTransform(skeleton) { + if (this.local === skeleton._update) + this.updateLocalTransform(skeleton); + else + this.world = skeleton._update; + const rotation = this.rotation; + const scaleX = this.scaleX; + const scaleY = this.scaleY; + const shearX = this.shearX; + const shearY = this.shearY; + if (!this.bone.parent) { + const sx = skeleton.scaleX, sy = skeleton.scaleY; + const rx = (rotation + shearX) * MathUtils.degRad; + const ry = (rotation + 90 + shearY) * MathUtils.degRad; + this.a = Math.cos(rx) * scaleX * sx; + this.b = Math.cos(ry) * scaleY * sx; + this.c = Math.sin(rx) * scaleX * sy; + this.d = Math.sin(ry) * scaleY * sy; + this.worldX = this.x * sx + skeleton.x; + this.worldY = this.y * sy + skeleton.y; + return; + } + const parent = this.bone.parent.appliedPose; + let pa = parent.a, pb = parent.b, pc = parent.c, pd = parent.d; + this.worldX = pa * this.x + pb * this.y + parent.worldX; + this.worldY = pc * this.x + pd * this.y + parent.worldY; + switch (this.inherit) { + case 0 /* Normal */: { + const rx = (rotation + shearX) * MathUtils.degRad; + const ry = (rotation + 90 + shearY) * MathUtils.degRad; + const la = Math.cos(rx) * scaleX; + const lb = Math.cos(ry) * scaleY; + const lc = Math.sin(rx) * scaleX; + const ld = Math.sin(ry) * scaleY; + this.a = pa * la + pb * lc; + this.b = pa * lb + pb * ld; + this.c = pc * la + pd * lc; + this.d = pc * lb + pd * ld; + return; + } + case 1 /* OnlyTranslation */: { + const sx = skeleton.scaleX, sy = skeleton.scaleY; + const rx = (rotation + shearX) * MathUtils.degRad; + const ry = (rotation + 90 + shearY) * MathUtils.degRad; + this.a = Math.cos(rx) * scaleX * sx; + this.b = Math.cos(ry) * scaleY * sx; + this.c = Math.sin(rx) * scaleX * sy; + this.d = Math.sin(ry) * scaleY * sy; + break; + } + case 2 /* NoRotationOrReflection */: { + const sx = skeleton.scaleX, sy = skeleton.scaleY, sxi = 1 / sx, syi = 1 / sy; + pa *= sxi; + pc *= syi; + let s = pa * pa + pc * pc; + let r = 0; + if (s > MathUtils.epsilon2) { + s = Math.abs(pa * pd * syi - pb * sxi * pc) / s; + pb = pc * s; + pd = pa * s; + r = rotation - MathUtils.atan2Deg(pc, pa); + } else { + pa = 0; + pc = 0; + r = rotation - 90 + MathUtils.atan2Deg(pd, pb); + } + const rx = (r + shearX) * MathUtils.degRad; + const ry = (r + shearY + 90) * MathUtils.degRad; + const la = Math.cos(rx) * scaleX; + const lb = Math.cos(ry) * scaleY; + const lc = Math.sin(rx) * scaleX; + const ld = Math.sin(ry) * scaleY; + this.a = (pa * la - pb * lc) * sx; + this.b = (pa * lb - pb * ld) * sx; + this.c = (pc * la + pd * lc) * sy; + this.d = (pc * lb + pd * ld) * sy; + break; + } + case 3 /* NoScale */: + case 4 /* NoScaleOrReflection */: { + const sx = skeleton.scaleX, sy = skeleton.scaleY, sxi = 1 / sx, syi = 1 / sy; + const r = rotation * MathUtils.degRad, cos = Math.cos(r), sin = Math.sin(r); + let za = (pa * cos + pb * sin) * sxi; + let zc = (pc * cos + pd * sin) * syi; + const s = 1 / Math.sqrt(za * za + zc * zc); + za *= s; + zc *= s; + let zb = -zc, zd = za; + if (this.inherit === 3 /* NoScale */ && pa * pd - pb * pc < 0 !== (sx < 0 !== sy < 0)) { + zb = -zb; + zd = -zd; + } + const rx = shearX * MathUtils.degRad; + const ry = (90 + shearY) * MathUtils.degRad; + const la = Math.cos(rx) * scaleX; + const lb = Math.cos(ry) * scaleY; + const lc = Math.sin(rx) * scaleX; + const ld = Math.sin(ry) * scaleY; + this.a = (za * la + zb * lc) * sx; + this.b = (za * lb + zb * ld) * sx; + this.c = (zc * la + zd * lc) * sy; + this.d = (zc * lb + zd * ld) * sy; + break; + } + } + } + /** Computes the local transform values from the world transform. + * + * If the world transform is modified (by a constraint, {@link rotateWorld}, etc) then this method should be called so + * the local transform matches the world transform. The local transform may be needed by other code (eg to apply another + * constraint). + * + * Some information is ambiguous in the world transform, such as -1,-1 scale versus 180 rotation. The local transform after + * calling this method is equivalent to the local transform used to compute the world transform, but may not be identical. */ + updateLocalTransform(skeleton) { + this.local = 0; + this.world = skeleton._update; + const sx = skeleton.scaleX, sy = skeleton.scaleY; + if (!this.bone.parent) { + const sxi = 1 / sx, syi = 1 / sy; + this.x = (this.worldX - skeleton.x) * sxi; + this.y = (this.worldY - skeleton.y) * syi; + this.set5(this.a * sxi, this.b * sxi, this.c * syi, this.d * syi, 0); + return; + } + const parent = this.bone.parent.appliedPose; + let pa = parent.a, pb = parent.b, pc = parent.c, pd = parent.d; + const pad = pa * pd - pb * pc, pid = 1 / (pa * pd - pb * pc); + const ia = pd * pid, ib = pb * pid, ic = pc * pid, id = pa * pid; + const dx = this.worldX - parent.worldX, dy = this.worldY - parent.worldY; + this.x = dx * ia - dy * ib; + this.y = dy * id - dx * ic; + switch (this.inherit) { + case 0 /* Normal */: + this.set5(ia * this.a - ib * this.c, ia * this.b - ib * this.d, id * this.c - ic * this.a, id * this.d - ic * this.b, 0); + break; + case 1 /* OnlyTranslation */: { + const sxi = 1 / sx, syi = 1 / sy; + this.set5(this.a * sxi, this.b * sxi, this.c * syi, this.d * syi, 0); + break; + } + case 2 /* NoRotationOrReflection */: { + const sxi = 1 / sx, syi = 1 / sy; + pa *= sxi; + pc *= syi; + const wa = this.a * sxi, wb = this.b * sxi, wc = this.c * syi, wd = this.d * syi; + const s = 1 / (pa * pa + pc * pc), det = 1 / Math.abs(pad * sxi * syi); + this.set5( + (pa * wa + pc * wc) * s, + (pa * wb + pc * wd) * s, + (pa * wc - pc * wa) * det, + (pa * wd - pc * wb) * det, + MathUtils.atan2Deg(pc, pa) + ); + break; + } + case 3 /* NoScale */: + case 4 /* NoScaleOrReflection */: { + const sxi = 1 / sx, syi = 1 / sy; + const wa = this.a * sxi, wb = this.b * sxi, wc = this.c * syi, wd = this.d * syi; + let tx = pd * this.a - pb * this.c, ty = pa * this.c - pc * this.a; + if (pad < 0) { + tx = -tx; + ty = -ty; + } + let r = MathUtils.atan2Deg(ty, tx); + this.rotation = r; + r *= MathUtils.degRad; + const cos = Math.cos(r), sin = Math.sin(r); + let za = (pa * cos + pb * sin) * sxi; + let zc = (pc * cos + pd * sin) * syi; + const s = 1 / Math.sqrt(za * za + zc * zc); + za *= s; + zc *= s; + const si = this.inherit === 3 /* NoScale */ && pad < 0 !== (sx < 0 !== sy < 0) ? -1 : 1; + this.set4(za * wa + zc * wc, za * wb + zc * wd, (za * wc - zc * wa) * si, (za * wd - zc * wb) * si); + } + } + } + set4(ra, rb, rc, rd) { + const x = ra * ra + rc * rc, y = rb * rb + rd * rd; + if (x > MathUtils.epsilon2) { + this.shearX = MathUtils.atan2Deg(rc, ra); + this.scaleX = Math.sqrt(x); + } else { + this.shearX = 0; + this.scaleX = 0; + } + this.scaleY = Math.sqrt(y); + if (y > MathUtils.epsilon2) { + this.shearY = MathUtils.atan2Deg(rd, rb); + if (ra * rd - rb * rc < 0) { + this.scaleY = -this.scaleY; + this.shearY += 90; + } else + this.shearY -= 90; + if (this.shearY > 180) + this.shearY -= 360; + else if (this.shearY <= -180) + this.shearY += 360; + } else + this.shearY = 0; + } + set5(ra, rb, rc, rd, ro) { + this.shearX = 0; + const x = ra * ra + rc * rc, y = rb * rb + rd * rd; + if (x > MathUtils.epsilon2) { + const r = MathUtils.atan2Deg(rc, ra); + this.rotation = r + ro; + this.scaleX = Math.sqrt(x); + this.scaleY = Math.sqrt(y); + if (y > MathUtils.epsilon2) { + this.shearY = MathUtils.atan2Deg(rd, rb); + if (ra * rd - rb * rc < 0) { + this.scaleY = -this.scaleY; + this.shearY += 90 - r; + } else + this.shearY -= 90 + r; + if (this.shearY > 180) + this.shearY -= 360; + else if (this.shearY <= -180) + this.shearY += 360; + } else + this.shearY = 0; + } else { + this.scaleX = 0; + this.scaleY = Math.sqrt(y); + this.shearY = 0; + this.rotation = y > MathUtils.epsilon2 ? MathUtils.atan2Deg(rd, rb) - 90 + ro : ro; + } + } + /** If the world transform has been modified by constraints and the local transform no longer matches, + * {@link updateLocalTransform} is called. Call this after {@link Skeleton.updateWorldTransform} before + * using the applied local transform. */ + validateLocalTransform(skeleton) { + if (this.local === skeleton._update) this.updateLocalTransform(skeleton); + } + modifyLocal(skeleton) { + if (this.local === skeleton._update) this.updateLocalTransform(skeleton); + this.world = 0; + this.resetWorld(skeleton, skeleton._update); + } + modifyWorld(skeleton) { + const update = skeleton._update; + this.local = update; + this.world = update; + this.resetWorld(skeleton, update); + } + resetWorld(skeleton, update) { + const children = this.bone.children; + for (let i = 0, n = children.length; i < n; i++) { + const child = children[i].appliedPose; + if (child.world === update) { + if (child.local === update) child.updateLocalTransform(skeleton); + child.world = 0; + child.resetWorld(skeleton, update); + } + } + } + /** The world rotation for the X axis, calculated using {@link a} and {@link c}. This is the direction the bone is + * pointing. */ + getWorldRotationX() { + return MathUtils.atan2Deg(this.c, this.a); + } + /** The world rotation for the Y axis, calculated using {@link b} and {@link d}. */ + getWorldRotationY() { + return MathUtils.atan2Deg(this.d, this.b); + } + /** The magnitude (always positive) of the world scale X, calculated using {@link a} and {@link c}. */ + getWorldScaleX() { + return Math.sqrt(this.a * this.a + this.c * this.c); + } + /** The magnitude (always positive) of the world scale Y, calculated using {@link b} and {@link d}. */ + getWorldScaleY() { + return Math.sqrt(this.b * this.b + this.d * this.d); + } + // public Matrix3 getWorldTransform (Matrix3 worldTransform) { + // if (worldTransform == null) throw new IllegalArgumentException("worldTransform cannot be null."); + // float[] val = worldTransform.val; + // val[M00] = a; + // val[M01] = b; + // val[M10] = c; + // val[M11] = d; + // val[M02] = worldX; + // val[M12] = worldY; + // val[M20] = 0; + // val[M21] = 0; + // val[M22] = 1; + // return worldTransform; + // } + /** Transforms a point from world coordinates to the bone's local coordinates. */ + worldToLocal(world) { + if (world == null) throw new Error("world cannot be null."); + const det = this.a * this.d - this.b * this.c; + const x = world.x - this.worldX, y = world.y - this.worldY; + world.x = (x * this.d - y * this.b) / det; + world.y = (y * this.a - x * this.c) / det; + return world; + } + /** Transforms a point from the bone's local coordinates to world coordinates. */ + localToWorld(local) { + if (local == null) throw new Error("local cannot be null."); + const x = local.x, y = local.y; + local.x = x * this.a + y * this.b + this.worldX; + local.y = x * this.c + y * this.d + this.worldY; + return local; + } + /** Transforms a point from world coordinates to the parent bone's local coordinates. */ + worldToParent(world) { + if (world == null) throw new Error("world cannot be null."); + return this.bone.parent == null ? world : this.bone.parent.appliedPose.worldToLocal(world); + } + /** Transforms a point from the parent bone's coordinates to world coordinates. */ + parentToWorld(world) { + if (world == null) throw new Error("world cannot be null."); + return this.bone.parent == null ? world : this.bone.parent.appliedPose.localToWorld(world); + } + /** Transforms a world rotation to a local rotation. */ + worldToLocalRotation(worldRotation) { + worldRotation *= MathUtils.degRad; + const sin = Math.sin(worldRotation), cos = Math.cos(worldRotation); + return MathUtils.atan2Deg(this.a * sin - this.c * cos, this.d * cos - this.b * sin) + this.rotation - this.shearX; + } + /** Transforms a local rotation to a world rotation. */ + localToWorldRotation(localRotation) { + localRotation = (localRotation - this.rotation - this.shearX) * MathUtils.degRad; + const sin = Math.sin(localRotation), cos = Math.cos(localRotation); + return MathUtils.atan2Deg(cos * this.c + sin * this.d, cos * this.a + sin * this.b); + } + /** Rotates the world transform the specified amount. */ + rotateWorld(degrees) { + degrees *= MathUtils.degRad; + const sin = Math.sin(degrees), cos = Math.cos(degrees); + const ra = this.a, rb = this.b; + this.a = cos * ra - sin * this.c; + this.b = cos * rb - sin * this.d; + this.c = sin * ra + cos * this.c; + this.d = sin * rb + cos * this.d; + } + }; + + // spine-core/src/Posed.ts + var Posed = class { + /** The constraint's setup pose data. */ + data; + pose; + constrainedPose; + appliedPose; + constructor(data, pose, constrainedPose) { + if (data == null) throw new Error("data cannot be null."); + this.data = data; + this.pose = pose; + this.constrainedPose = constrainedPose; + this.appliedPose = pose; + } + /** Sets the unconstrained pose to the setup pose. */ + setupPose() { + this.pose.set(this.data.setupPose); + } + /** The setup pose data. May be shared with multiple instances. */ + getData() { + return this.data; + } + /** The unconstrained pose for this object, set by animations and application code. */ + getPose() { + return this.pose; + } + /** The pose to use for rendering. If no constraints modify this pose, this is the same as {@link pose}. Otherwise it is a + * copy of {@link pose} modified by constraints. */ + getAppliedPose() { + return this.appliedPose; + } + /** Sets the applied pose to the unconstrained pose, for when no constraints will modify the pose. */ + unconstrained() { + this.appliedPose = this.pose; + } + /** Sets the applied pose to the constrained pose, in anticipation of the applied pose being modified by constraints. */ + constrained() { + this.appliedPose = this.constrainedPose; + } + /** Sets the constrained pose to the unconstrained pose, as a starting point for constraints to be applied. */ + resetConstrained() { + this.constrainedPose.set(this.pose); + } + }; + + // spine-core/src/PosedActive.ts + var PosedActive = class extends Posed { + active = false; + constructor(data, pose, constrained) { + super(data, pose, constrained); + this.setupPose(); + } + /** Returns false when this constraint won't be updated by + * {@link Skeleton.updateWorldTransform} because a skin is required and the + * {@link Skeleton.skin active skin} does not contain this item. See {@link Skin.bones}, {@link Skin.constraints}, + * {@link PosedData.skinRequired}, and {@link Skeleton.updateCache}. */ + isActive() { + return this.active; + } + }; + + // spine-core/src/Bone.ts + var Bone = class _Bone extends PosedActive { + /** The parent bone, or null if this is the root bone. */ + parent = null; + /** The immediate children of this bone. */ + children = []; + sorted = false; + constructor(data, parent) { + super(data, new BonePose(), new BonePose()); + this.parent = parent; + this.appliedPose.bone = this; + this.constrainedPose.bone = this; + } + /** Copy constructor. Does not copy the {@link children} bones. */ + copy(parent) { + const copy = new _Bone(this.data, parent); + copy.pose.set(this.pose); + return copy; + } + }; + + // spine-core/src/Constraint.ts + var Constraint = class extends PosedActive { + constructor(data, pose, constrained) { + super(data, pose, constrained); + } + isSourceActive() { + return true; + } + }; + + // spine-core/src/DrawOrder.ts + var DrawOrder = class { + _setupPose; + /** The unconstrained draw order, set by animations and application code. */ + pose; + constrainedPose; + /** The constrained draw order for rendering. If no constraints modify the draw order, this is the same as {@link pose}. + * Otherwise it is a copy of {@link pose} modified by constraints. */ + appliedPose; + constructor(setupPose) { + this._setupPose = setupPose; + this.pose = [...setupPose]; + this.constrainedPose = []; + this.appliedPose = this.pose; + } + /** Sets the unconstrained draw order to the setup pose order. */ + setupPose() { + this.pose.length = this._setupPose.length; + Utils.arrayCopy(this._setupPose, 0, this.pose, 0, this._setupPose.length); + } + /** Sets the applied pose to the unconstrained pose, for when no constraints will modify the draw order. */ + unconstrained() { + this.appliedPose = this.pose; + } + /** Sets the applied pose to the constrained pose, in anticipation of the applied pose being modified by constraints. */ + constrained() { + this.appliedPose = this.constrainedPose; + } + /** Copies the unconstrained pose to the constrained pose, as a starting point for constraints to be applied. */ + resetConstrained() { + this.constrainedPose.length = this.pose.length; + Utils.arrayCopy(this.pose, 0, this.constrainedPose, 0, this.pose.length); + } + }; + + // spine-core/src/ConstraintData.ts + var ConstraintData = class extends PosedData { + constructor(name, setup) { + super(name, setup); + } + }; + var ScaleYMode = /* @__PURE__ */ ((ScaleYMode2) => { + ScaleYMode2[ScaleYMode2["None"] = 0] = "None"; + ScaleYMode2[ScaleYMode2["Uniform"] = 1] = "Uniform"; + ScaleYMode2[ScaleYMode2["Volume"] = 2] = "Volume"; + return ScaleYMode2; + })(ScaleYMode || {}); + + // spine-core/src/Event.ts + var Event = class { + /** The animation time this event was keyed, or -1 for the setup pose. */ + time = 0; + data; + /** The integer payload for this event. */ + intValue = 0; + /** The float payload for this event. */ + floatValue = 0; + stringValue = null; + /** If an audio path is set, the volume for the audio. */ + volume = 0; + /** If an audio path is set, the left/right balance for the audio. */ + balance = 0; + constructor(time, data) { + if (!data) throw new Error("data cannot be null."); + this.time = time; + this.data = data; + } + }; + + // spine-core/src/EventData.ts + var EventData = class { + /** The name of the event, unique across all events in the skeleton. + * + * See {@link SkeletonData.findEvent}. */ + name; + _audioPath = null; + /** Path to an audio file relative to the audio folder as defined in Spine. */ + get audioPath() { + return this._audioPath; + } + set audioPath(audioPath) { + if (audioPath == null) throw new Error("audioPath cannot be null."); + this._audioPath = audioPath; + } + /** The setup values that are shared by all events with this data. */ + setupPose = new Event(-1, this); + constructor(name) { + this.name = name; + } + }; + + // spine-core/src/IkConstraintPose.ts + var IkConstraintPose = class { + /** For two bone IK, controls the bend direction of the IK bones, either 1 or -1. */ + bendDirection = 0; + /** For one bone IK, when true and the target is too close, the bone is scaled to reach it. */ + compress = false; + /** When true and the target is out of range, the parent bone is scaled to reach it. + * + * For two bone IK: 1) the child bone's local Y translation is set to 0, 2) stretch is not applied if {@link softness} is > 0, + * and 3) if the parent bone has local nonuniform scale, stretch is not applied. */ + stretch = false; + /** A percentage (0-1) that controls the mix between the constrained and unconstrained rotation. + * + * For two bone IK: if the parent bone has local nonuniform scale, the child bone's local Y translation is set to 0. */ + mix = 0; + /** For two bone IK, the target bone's distance from the maximum reach of the bones where rotation begins to slow. The bones + * will not straighten completely until the target is this far out of range. */ + softness = 0; + set(pose) { + this.mix = pose.mix; + this.softness = pose.softness; + this.bendDirection = pose.bendDirection; + this.compress = pose.compress; + this.stretch = pose.stretch; + } + }; + + // spine-core/src/IkConstraint.ts + var IkConstraint = class _IkConstraint extends Constraint { + /** The 1 or 2 bones that will be modified by this IK constraint. */ + bones; + /** The bone that is the IK target. */ + target; + constructor(data, skeleton) { + super(data, new IkConstraintPose(), new IkConstraintPose()); + if (!skeleton) throw new Error("skeleton cannot be null."); + this.bones = []; + for (const boneData of data.bones) + this.bones.push(skeleton.bones[boneData.index].constrainedPose); + this.target = skeleton.bones[data.target.index]; + } + copy(skeleton) { + var copy = new _IkConstraint(this.data, skeleton); + copy.pose.set(this.pose); + return copy; + } + update(skeleton, physics) { + const p = this.appliedPose; + if (p.mix === 0) return; + const target = this.target.appliedPose; + const bones = this.bones; + switch (bones.length) { + case 1: + _IkConstraint.apply(skeleton, bones[0], target.worldX, target.worldY, p.compress, p.stretch, this.data.scaleYMode, p.mix); + break; + case 2: + _IkConstraint.apply( + skeleton, + bones[0], + bones[1], + target.worldX, + target.worldY, + p.bendDirection, + p.stretch, + this.data.scaleYMode, + p.softness, + p.mix + ); + break; + } + } + sort(skeleton) { + skeleton.sortBone(this.target); + const parent = this.bones[0].bone; + skeleton.sortBone(parent); + skeleton._updateCache.push(this); + parent.sorted = false; + skeleton.sortReset(parent.children); + skeleton.constrained(parent); + if (this.bones.length > 1) skeleton.constrained(this.bones[1].bone); + } + isSourceActive() { + return this.target.active; + } + static apply(skeleton, boneOrParent, targetXorChild, targetYOrTargetX, compressOrTargetY, stretchOrBendDir, scaleYModeOrStretch, mixOrScaleYMode, softness, mix) { + if (typeof targetXorChild === "number") + _IkConstraint.apply1(skeleton, boneOrParent, targetXorChild, targetYOrTargetX, compressOrTargetY, stretchOrBendDir, scaleYModeOrStretch, mixOrScaleYMode); + else + _IkConstraint.apply2( + skeleton, + boneOrParent, + targetXorChild, + targetYOrTargetX, + compressOrTargetY, + stretchOrBendDir, + scaleYModeOrStretch, + mixOrScaleYMode, + softness, + mix + ); + } + static apply1(skeleton, bone, targetX, targetY, compress, stretch, scaleYMode, mix) { + bone.modifyLocal(skeleton); + const p = bone.bone.parent.appliedPose; + let pa = p.a, pb = p.b, pc = p.c, pd = p.d; + let rotationIK = -bone.shearX - bone.rotation, tx = 0, ty = 0; + switch (bone.inherit) { + case 1 /* OnlyTranslation */: + tx = (targetX - bone.worldX) * MathUtils.signum(skeleton.scaleX); + ty = (targetY - bone.worldY) * MathUtils.signum(skeleton.scaleY); + break; + // biome-ignore lint/suspicious/noFallthroughSwitchClause: reference runtime + case 2 /* NoRotationOrReflection */: { + const s = Math.abs(pa * pd - pb * pc) / Math.max(MathUtils.epsilon, pa * pa + pc * pc); + const sa = pa / skeleton.scaleX; + const sc = pc / skeleton.scaleY; + pb = -sc * s * skeleton.scaleX; + pd = sa * s * skeleton.scaleY; + rotationIK += MathUtils.atan2Deg(sc, sa); + } + // Fall through + default: { + const x = targetX - p.worldX, y = targetY - p.worldY; + const d = pa * pd - pb * pc; + if (Math.abs(d) <= MathUtils.epsilon) { + tx = 0; + ty = 0; + } else { + tx = (x * pd - y * pb) / d - bone.x; + ty = (y * pa - x * pc) / d - bone.y; + } + } + } + rotationIK += MathUtils.atan2Deg(ty, tx); + if (bone.scaleX < 0) rotationIK += 180; + if (rotationIK > 180) + rotationIK -= 360; + else if (rotationIK <= -180) + rotationIK += 360; + bone.rotation += rotationIK * mix; + if (compress || stretch) { + switch (bone.inherit) { + case 3 /* NoScale */: + case 4 /* NoScaleOrReflection */: + tx = targetX - bone.worldX; + ty = targetY - bone.worldY; + } + const b = bone.bone.data.length * bone.scaleX; + if (b > MathUtils.epsilon) { + const dd = tx * tx + ty * ty; + if (compress && dd < b * b || stretch && dd > b * b) { + const s = (Math.sqrt(dd) / b - 1) * mix + 1; + bone.scaleX *= s; + switch (scaleYMode) { + case 1 /* Uniform */: + bone.scaleY *= s; + break; + case 2 /* Volume */: + bone.scaleY /= s < 0.7 ? 0.25 + 0.642857 * s : s; + } + } + } + } + } + /** Applies 2 bone IK. The target is specified in the world coordinate system. + * @param child A direct descendant of the parent bone. */ + static apply2(skeleton, parent, child, targetX, targetY, bendDir, stretch, scaleYMode, softness, mix) { + if (parent.inherit !== 0 /* Normal */ || child.inherit !== 0 /* Normal */) return; + parent.modifyLocal(skeleton); + child.modifyLocal(skeleton); + let px = parent.x, py = parent.y, psx = parent.scaleX, psy = parent.scaleY, csx = child.scaleX; + let os1 = 0, os2 = 0, s2 = 0; + if (psx < 0) { + psx = -psx; + os1 = 180; + s2 = -1; + } else { + os1 = 0; + s2 = 1; + } + if (psy < 0) { + psy = -psy; + s2 = -s2; + } + if (csx < 0) { + csx = -csx; + os2 = 180; + } else + os2 = 0; + let cwx = 0, cwy = 0, a = parent.a, b = parent.b, c = parent.c, d = parent.d; + const u = Math.abs(psx - psy) <= MathUtils.epsilon; + if (!u || stretch) { + child.y = 0; + cwx = a * child.x + parent.worldX; + cwy = c * child.x + parent.worldY; + } else { + cwx = a * child.x + b * child.y + parent.worldX; + cwy = c * child.x + d * child.y + parent.worldY; + } + const pp = parent.bone.parent.appliedPose; + a = pp.a; + b = pp.b; + c = pp.c; + d = pp.d; + let id = a * d - b * c, x = cwx - pp.worldX, y = cwy - pp.worldY; + id = Math.abs(id) <= MathUtils.epsilon ? 0 : 1 / id; + const dx = (x * d - y * b) * id - px, dy = (y * a - x * c) * id - py; + let l1 = Math.sqrt(dx * dx + dy * dy), l2 = child.bone.data.length * csx, a1, a2; + if (l1 < MathUtils.epsilon) { + _IkConstraint.apply(skeleton, parent, targetX, targetY, false, stretch, 0 /* None */, mix); + child.rotation = 0; + return; + } + x = targetX - pp.worldX; + y = targetY - pp.worldY; + let tx = (x * d - y * b) * id - px, ty = (y * a - x * c) * id - py; + let dd = tx * tx + ty * ty; + if (softness !== 0) { + softness *= psx * (csx + 1) * 0.5; + const td = Math.sqrt(dd), sd = td - l1 - l2 * psx + softness; + if (sd > 0) { + let p = Math.min(1, sd / (softness * 2)) - 1; + p = (sd - softness * (1 - p * p)) / td; + tx -= p * tx; + ty -= p * ty; + dd = tx * tx + ty * ty; + } + } + outer: + if (u) { + l2 *= psx; + let cos = (dd - l1 * l1 - l2 * l2) / (2 * l1 * l2); + if (cos < -1) { + cos = -1; + a2 = Math.PI * bendDir; + } else if (cos > 1) { + cos = 1; + a2 = 0; + if (stretch) { + a = (Math.sqrt(dd) / (l1 + l2) - 1) * mix + 1; + parent.scaleX *= a; + switch (scaleYMode) { + case 1 /* Uniform */: + parent.scaleY *= a; + break; + case 2 /* Volume */: + parent.scaleY /= a < 0.7 ? 0.25 + 0.642857 * a : a; + } + } + } else + a2 = Math.acos(cos) * bendDir; + a = l1 + l2 * cos; + b = l2 * Math.sin(a2); + a1 = Math.atan2(ty * a - tx * b, tx * a + ty * b); + } else { + a = psx * l2; + b = psy * l2; + const aa = a * a, bb = b * b, ta = Math.atan2(ty, tx); + c = bb * l1 * l1 + aa * dd - aa * bb; + const c1 = -2 * bb * l1, c2 = bb - aa; + d = c1 * c1 - 4 * c2 * c; + if (d >= 0) { + let q = Math.sqrt(d); + if (c1 < 0) q = -q; + q = -(c1 + q) * 0.5; + let r0 = q / c2, r1 = c / q; + const r = Math.abs(r0) < Math.abs(r1) ? r0 : r1; + r0 = dd - r * r; + if (r0 >= 0) { + y = Math.sqrt(r0) * bendDir; + a1 = ta - Math.atan2(y, r); + a2 = Math.atan2(y / psy, (r - l1) / psx); + break outer; + } + } + let minAngle = MathUtils.PI, minX = l1 - a, minDist = minX * minX, minY = 0; + let maxAngle = 0, maxX = l1 + a, maxDist = maxX * maxX, maxY = 0; + c = -a * l1 / (aa - bb); + if (c >= -1 && c <= 1) { + c = Math.acos(c); + x = a * Math.cos(c) + l1; + y = b * Math.sin(c); + d = x * x + y * y; + if (d < minDist) { + minAngle = c; + minDist = d; + minX = x; + minY = y; + } + if (d > maxDist) { + maxAngle = c; + maxDist = d; + maxX = x; + maxY = y; + } + } + if (dd <= (minDist + maxDist) * 0.5) { + a1 = ta - Math.atan2(minY * bendDir, minX); + a2 = minAngle * bendDir; + } else { + a1 = ta - Math.atan2(maxY * bendDir, maxX); + a2 = maxAngle * bendDir; + } + } + const os = Math.atan2(child.y, child.x) * s2; + a1 = (a1 - os) * MathUtils.radDeg + os1 - parent.rotation; + if (a1 > 180) + a1 -= 360; + else if (a1 <= -180) + a1 += 360; + parent.rotation += a1 * mix; + a2 = ((a2 + os) * MathUtils.radDeg - child.shearX) * s2 + os2 - child.rotation; + if (a2 > 180) + a2 -= 360; + else if (a2 <= -180) + a2 += 360; + child.rotation += a2 * mix; + } + }; + + // spine-core/src/IkConstraintData.ts + var IkConstraintData = class extends ConstraintData { + /** The bones that are constrained by this IK constraint. */ + bones = []; + _target = null; + /** The bone that is the IK target. */ + set target(boneData) { + this._target = boneData; + } + get target() { + if (!this._target) throw new Error("target cannot be null."); + return this._target; + } + /** Determines how the {@link BonePose.scaleY} changes when {@link IkConstraintPose.compress} or + * {@link IkConstraintPose.stretch} set {@link BonePose.scaleX}. */ + _scaleYMode = 0 /* None */; + set scaleYMode(scaleYMode) { + this._scaleYMode = scaleYMode; + } + get scaleYMode() { + if (this._scaleYMode == null) throw new Error("scaleYMode cannot be null."); + return this._scaleYMode; + } + constructor(name) { + super(name, new IkConstraintPose()); + } + create(skeleton) { + return new IkConstraint(this, skeleton); + } + }; + + // spine-core/src/PathConstraintPose.ts + var PathConstraintPose = class { + /** The position along the path. */ + position = 0; + /** The spacing between bones. */ + spacing = 0; + /** A percentage (0-1) that controls the mix between the constrained and unconstrained rotation. */ + mixRotate = 0; + /** A percentage (0-1) that controls the mix between the constrained and unconstrained translation X. */ + mixX = 0; + /** A percentage (0-1) that controls the mix between the constrained and unconstrained translation Y. */ + mixY = 0; + set(pose) { + this.position = pose.position; + this.spacing = pose.spacing; + this.mixRotate = pose.mixRotate; + this.mixX = pose.mixX; + this.mixY = pose.mixY; + } + }; + + // spine-core/src/PathConstraintData.ts + var PathConstraintData = class extends ConstraintData { + /** The bones that will be modified by this path constraint. */ + bones = []; + /** The slot whose path attachment will be used to constrained the bones. */ + set slot(slotData) { + this._slot = slotData; + } + get slot() { + if (!this._slot) throw new Error("SlotData not set."); + else return this._slot; + } + _slot = null; + /** The mode for positioning the first bone on the path. */ + positionMode = 0 /* Fixed */; + /** The mode for positioning the bones after the first bone on the path. */ + spacingMode = 1 /* Fixed */; + /** The mode for adjusting the rotation of the bones. */ + rotateMode = 1 /* Chain */; + /** An offset added to the constrained bone rotation. */ + offsetRotation = 0; + constructor(name) { + super(name, new PathConstraintPose()); + } + create(skeleton) { + return new PathConstraint(this, skeleton); + } + }; + var PositionMode = /* @__PURE__ */ ((PositionMode2) => { + PositionMode2[PositionMode2["Fixed"] = 0] = "Fixed"; + PositionMode2[PositionMode2["Percent"] = 1] = "Percent"; + return PositionMode2; + })(PositionMode || {}); + var SpacingMode = /* @__PURE__ */ ((SpacingMode2) => { + SpacingMode2[SpacingMode2["Length"] = 0] = "Length"; + SpacingMode2[SpacingMode2["Fixed"] = 1] = "Fixed"; + SpacingMode2[SpacingMode2["Percent"] = 2] = "Percent"; + SpacingMode2[SpacingMode2["Proportional"] = 3] = "Proportional"; + return SpacingMode2; + })(SpacingMode || {}); + var RotateMode = /* @__PURE__ */ ((RotateMode2) => { + RotateMode2[RotateMode2["Tangent"] = 0] = "Tangent"; + RotateMode2[RotateMode2["Chain"] = 1] = "Chain"; + RotateMode2[RotateMode2["ChainScale"] = 2] = "ChainScale"; + return RotateMode2; + })(RotateMode || {}); + + // spine-core/src/PathConstraint.ts + var PathConstraint = class _PathConstraint extends Constraint { + static NONE = -1; + static BEFORE = -2; + static AFTER = -3; + /** The path constraint's setup pose data. */ + data; + /** The bones that will be modified by this path constraint. */ + bones; + /** The slot whose path attachment will be used to constrained the bones. */ + slot; + spaces = []; + positions = []; + world = []; + curves = []; + lengths = []; + segments = []; + constructor(data, skeleton) { + super(data, new PathConstraintPose(), new PathConstraintPose()); + if (!skeleton) throw new Error("skeleton cannot be null."); + this.data = data; + this.bones = []; + for (const boneData of this.data.bones) + this.bones.push(skeleton.bones[boneData.index].constrainedPose); + this.slot = skeleton.slots[data.slot.index]; + } + copy(skeleton) { + var copy = new _PathConstraint(this.data, skeleton); + copy.pose.set(this.pose); + return copy; + } + update(skeleton, physics) { + const attachment = this.slot.appliedPose.attachment; + if (!(attachment instanceof PathAttachment)) return; + const p = this.appliedPose; + const mixRotate = p.mixRotate, mixX = p.mixX, mixY = p.mixY; + if (mixRotate === 0 && mixX === 0 && mixY === 0) return; + const data = this.data; + const tangents = data.rotateMode === 0 /* Tangent */, scale = data.rotateMode === 2 /* ChainScale */; + const bones = this.bones; + const boneCount = bones.length, spacesCount = tangents ? boneCount : boneCount + 1; + const spaces = Utils.setArraySize(this.spaces, spacesCount), lengths = scale ? this.lengths = Utils.setArraySize(this.lengths, boneCount) : []; + const spacing = p.spacing; + switch (data.spacingMode) { + case 2 /* Percent */: + if (scale) { + for (let i = 0, n = spacesCount - 1; i < n; i++) { + const bone = bones[i]; + const setupLength = bone.bone.data.length; + const x = setupLength * bone.a, y = setupLength * bone.c; + lengths[i] = Math.sqrt(x * x + y * y); + } + } + Utils.arrayFill(spaces, 1, spacesCount, spacing); + break; + case 3 /* Proportional */: { + let sum = 0; + for (let i = 0, n = spacesCount - 1; i < n; ) { + const bone = bones[i]; + const setupLength = bone.bone.data.length; + if (setupLength < MathUtils.epsilon) { + if (scale) lengths[i] = 0; + spaces[++i] = spacing; + } else { + const x = setupLength * bone.a, y = setupLength * bone.c; + const length = Math.sqrt(x * x + y * y); + if (scale) lengths[i] = length; + spaces[++i] = length; + sum += length; + } + } + if (sum > 0) { + sum = spacesCount / sum * spacing; + for (let i = 1; i < spacesCount; i++) + spaces[i] *= sum; + } + break; + } + default: { + const lengthSpacing = data.spacingMode === 0 /* Length */; + for (let i = 0, n = spacesCount - 1; i < n; ) { + const bone = bones[i]; + const setupLength = bone.bone.data.length; + if (setupLength < MathUtils.epsilon) { + if (scale) lengths[i] = 0; + spaces[++i] = spacing; + } else { + const x = setupLength * bone.a, y = setupLength * bone.c; + const length = Math.sqrt(x * x + y * y); + if (scale) lengths[i] = length; + spaces[++i] = (lengthSpacing ? Math.max(0, setupLength + spacing) : spacing) * length / setupLength; + } + } + } + } + const positions = this.computeWorldPositions(skeleton, attachment, spacesCount, tangents); + let boneX = positions[0], boneY = positions[1], offsetRotation = data.offsetRotation; + let tip = false; + if (offsetRotation === 0) + tip = data.rotateMode === 1 /* Chain */; + else { + tip = false; + const bone = this.slot.bone.appliedPose; + offsetRotation *= bone.a * bone.d - bone.b * bone.c > 0 ? MathUtils.degRad : -MathUtils.degRad; + } + for (let i = 0, ip = 3; i < boneCount; i++, ip += 3) { + const bone = bones[i]; + bone.modifyWorld(skeleton); + bone.worldX += (boneX - bone.worldX) * mixX; + bone.worldY += (boneY - bone.worldY) * mixY; + const x = positions[ip], y = positions[ip + 1], dx = x - boneX, dy = y - boneY; + if (scale) { + const length = lengths[i]; + if (length !== 0) { + const s = (Math.sqrt(dx * dx + dy * dy) / length - 1) * mixRotate + 1; + bone.a *= s; + bone.c *= s; + } + } + boneX = x; + boneY = y; + if (mixRotate > 0) { + let a = bone.a, b = bone.b, c = bone.c, d = bone.d, r = 0, cos = 0, sin = 0; + if (tangents) + r = positions[ip - 1]; + else if (spaces[i + 1] === 0) + r = positions[ip + 2]; + else + r = Math.atan2(dy, dx); + r -= Math.atan2(c, a); + if (tip) { + cos = Math.cos(r); + sin = Math.sin(r); + const length = bone.bone.data.length; + boneX += (length * (cos * a - sin * c) - dx) * mixRotate; + boneY += (length * (sin * a + cos * c) - dy) * mixRotate; + } else { + r += offsetRotation; + } + if (r > MathUtils.PI) + r -= MathUtils.PI2; + else if (r < -MathUtils.PI) + r += MathUtils.PI2; + r *= mixRotate; + cos = Math.cos(r); + sin = Math.sin(r); + bone.a = cos * a - sin * c; + bone.b = cos * b - sin * d; + bone.c = sin * a + cos * c; + bone.d = sin * b + cos * d; + } + } + } + computeWorldPositions(skeleton, path, spacesCount, tangents) { + const slot = this.slot; + let position = this.appliedPose.position; + let spaces = this.spaces, out = Utils.setArraySize(this.positions, spacesCount * 3 + 2), world = this.world; + const closed = path.closed; + let verticesLength = path.worldVerticesLength, curveCount = verticesLength / 6, prevCurve = _PathConstraint.NONE; + if (!path.constantSpeed) { + const lengths = path.lengths; + curveCount -= closed ? 1 : 2; + const pathLength2 = lengths[curveCount]; + if (this.data.positionMode === 1 /* Percent */) position *= pathLength2; + let multiplier2; + switch (this.data.spacingMode) { + case 2 /* Percent */: + multiplier2 = pathLength2; + break; + case 3 /* Proportional */: + multiplier2 = pathLength2 / spacesCount; + break; + default: + multiplier2 = 1; + } + world = Utils.setArraySize(this.world, 8); + for (let i = 0, o = 0, curve = 0; i < spacesCount; i++, o += 3) { + const space = spaces[i] * multiplier2; + position += space; + let p = position; + if (closed) { + p %= pathLength2; + if (p < 0) p += pathLength2; + curve = 0; + } else if (p < 0) { + if (prevCurve !== _PathConstraint.BEFORE) { + prevCurve = _PathConstraint.BEFORE; + path.computeWorldVertices(skeleton, slot, 2, 4, world, 0, 2); + } + this.addBeforePosition(p, world, 0, out, o); + continue; + } else if (p > pathLength2) { + if (prevCurve !== _PathConstraint.AFTER) { + prevCurve = _PathConstraint.AFTER; + path.computeWorldVertices(skeleton, slot, verticesLength - 6, 4, world, 0, 2); + } + this.addAfterPosition(p - pathLength2, world, 0, out, o); + continue; + } + for (; ; curve++) { + const length = lengths[curve]; + if (p > length) continue; + if (curve === 0) + p /= length; + else { + const prev = lengths[curve - 1]; + p = (p - prev) / (length - prev); + } + break; + } + if (curve !== prevCurve) { + prevCurve = curve; + if (closed && curve === curveCount) { + path.computeWorldVertices(skeleton, slot, verticesLength - 4, 4, world, 0, 2); + path.computeWorldVertices(skeleton, slot, 0, 4, world, 4, 2); + } else + path.computeWorldVertices(skeleton, slot, curve * 6 + 2, 8, world, 0, 2); + } + this.addCurvePosition( + p, + world[0], + world[1], + world[2], + world[3], + world[4], + world[5], + world[6], + world[7], + out, + o, + tangents || i > 0 && space === 0 + ); + } + return out; + } + if (closed) { + verticesLength += 2; + world = Utils.setArraySize(this.world, verticesLength); + path.computeWorldVertices(skeleton, slot, 2, verticesLength - 4, world, 0, 2); + path.computeWorldVertices(skeleton, slot, 0, 2, world, verticesLength - 4, 2); + world[verticesLength - 2] = world[0]; + world[verticesLength - 1] = world[1]; + } else { + curveCount--; + verticesLength -= 4; + world = Utils.setArraySize(this.world, verticesLength); + path.computeWorldVertices(skeleton, slot, 2, verticesLength, world, 0, 2); + } + const curves = Utils.setArraySize(this.curves, curveCount); + let pathLength = 0; + let x1 = world[0], y1 = world[1], cx1 = 0, cy1 = 0, cx2 = 0, cy2 = 0, x2 = 0, y2 = 0; + let tmpx = 0, tmpy = 0, dddfx = 0, dddfy = 0, ddfx = 0, ddfy = 0, dfx = 0, dfy = 0; + for (let i = 0, w = 2; i < curveCount; i++, w += 6) { + cx1 = world[w]; + cy1 = world[w + 1]; + cx2 = world[w + 2]; + cy2 = world[w + 3]; + x2 = world[w + 4]; + y2 = world[w + 5]; + tmpx = (x1 - cx1 * 2 + cx2) * 0.1875; + tmpy = (y1 - cy1 * 2 + cy2) * 0.1875; + dddfx = ((cx1 - cx2) * 3 - x1 + x2) * 0.09375; + dddfy = ((cy1 - cy2) * 3 - y1 + y2) * 0.09375; + ddfx = tmpx * 2 + dddfx; + ddfy = tmpy * 2 + dddfy; + dfx = (cx1 - x1) * 0.75 + tmpx + dddfx * 0.16666667; + dfy = (cy1 - y1) * 0.75 + tmpy + dddfy * 0.16666667; + pathLength += Math.sqrt(dfx * dfx + dfy * dfy); + dfx += ddfx; + dfy += ddfy; + ddfx += dddfx; + ddfy += dddfy; + pathLength += Math.sqrt(dfx * dfx + dfy * dfy); + dfx += ddfx; + dfy += ddfy; + pathLength += Math.sqrt(dfx * dfx + dfy * dfy); + dfx += ddfx + dddfx; + dfy += ddfy + dddfy; + pathLength += Math.sqrt(dfx * dfx + dfy * dfy); + curves[i] = pathLength; + x1 = x2; + y1 = y2; + } + if (this.data.positionMode === 1 /* Percent */) position *= pathLength; + let multiplier; + switch (this.data.spacingMode) { + case 2 /* Percent */: + multiplier = pathLength; + break; + case 3 /* Proportional */: + multiplier = pathLength / spacesCount; + break; + default: + multiplier = 1; + } + const segments = this.segments; + let curveLength = 0; + for (let i = 0, o = 0, curve = 0, segment = 0; i < spacesCount; i++, o += 3) { + const space = spaces[i] * multiplier; + position += space; + let p = position; + if (closed) { + p %= pathLength; + if (p < 0) p += pathLength; + curve = 0; + segment = 0; + } else if (p < 0) { + this.addBeforePosition(p, world, 0, out, o); + continue; + } else if (p > pathLength) { + this.addAfterPosition(p - pathLength, world, verticesLength - 4, out, o); + continue; + } + for (; ; curve++) { + const length = curves[curve]; + if (p > length) continue; + if (curve === 0) + p /= length; + else { + const prev = curves[curve - 1]; + p = (p - prev) / (length - prev); + } + break; + } + if (curve !== prevCurve) { + prevCurve = curve; + let ii = curve * 6; + x1 = world[ii]; + y1 = world[ii + 1]; + cx1 = world[ii + 2]; + cy1 = world[ii + 3]; + cx2 = world[ii + 4]; + cy2 = world[ii + 5]; + x2 = world[ii + 6]; + y2 = world[ii + 7]; + tmpx = (x1 - cx1 * 2 + cx2) * 0.03; + tmpy = (y1 - cy1 * 2 + cy2) * 0.03; + dddfx = ((cx1 - cx2) * 3 - x1 + x2) * 6e-3; + dddfy = ((cy1 - cy2) * 3 - y1 + y2) * 6e-3; + ddfx = tmpx * 2 + dddfx; + ddfy = tmpy * 2 + dddfy; + dfx = (cx1 - x1) * 0.3 + tmpx + dddfx * 0.16666667; + dfy = (cy1 - y1) * 0.3 + tmpy + dddfy * 0.16666667; + curveLength = Math.sqrt(dfx * dfx + dfy * dfy); + segments[0] = curveLength; + for (ii = 1; ii < 8; ii++) { + dfx += ddfx; + dfy += ddfy; + ddfx += dddfx; + ddfy += dddfy; + curveLength += Math.sqrt(dfx * dfx + dfy * dfy); + segments[ii] = curveLength; + } + dfx += ddfx; + dfy += ddfy; + curveLength += Math.sqrt(dfx * dfx + dfy * dfy); + segments[8] = curveLength; + dfx += ddfx + dddfx; + dfy += ddfy + dddfy; + curveLength += Math.sqrt(dfx * dfx + dfy * dfy); + segments[9] = curveLength; + segment = 0; + } + p *= curveLength; + for (; ; segment++) { + const length = segments[segment]; + if (p > length) continue; + if (segment === 0) + p /= length; + else { + const prev = segments[segment - 1]; + p = segment + (p - prev) / (length - prev); + } + break; + } + this.addCurvePosition(p * 0.1, x1, y1, cx1, cy1, cx2, cy2, x2, y2, out, o, tangents || i > 0 && space === 0); + } + return out; + } + addBeforePosition(p, temp, i, out, o) { + const x1 = temp[i], y1 = temp[i + 1], dx = temp[i + 2] - x1, dy = temp[i + 3] - y1, r = Math.atan2(dy, dx); + out[o] = x1 + p * Math.cos(r); + out[o + 1] = y1 + p * Math.sin(r); + out[o + 2] = r; + } + addAfterPosition(p, temp, i, out, o) { + const x1 = temp[i + 2], y1 = temp[i + 3], dx = x1 - temp[i], dy = y1 - temp[i + 1], r = Math.atan2(dy, dx); + out[o] = x1 + p * Math.cos(r); + out[o + 1] = y1 + p * Math.sin(r); + out[o + 2] = r; + } + addCurvePosition(p, x1, y1, cx1, cy1, cx2, cy2, x2, y2, out, o, tangents) { + if (p === 0 || Number.isNaN(p)) { + out[o] = x1; + out[o + 1] = y1; + out[o + 2] = Math.atan2(cy1 - y1, cx1 - x1); + return; + } + const tt = p * p, ttt = tt * p, u = 1 - p, uu = u * u, uuu = uu * u; + const ut = u * p, ut3 = ut * 3, uut3 = u * ut3, utt3 = ut3 * p; + const x = x1 * uuu + cx1 * uut3 + cx2 * utt3 + x2 * ttt, y = y1 * uuu + cy1 * uut3 + cy2 * utt3 + y2 * ttt; + out[o] = x; + out[o + 1] = y; + if (tangents) { + if (p < 1e-3) + out[o + 2] = Math.atan2(cy1 - y1, cx1 - x1); + else + out[o + 2] = Math.atan2(y - (y1 * uu + cy1 * ut * 2 + cy2 * tt), x - (x1 * uu + cx1 * ut * 2 + cx2 * tt)); + } + } + sort(skeleton) { + const slotIndex = this.slot.data.index; + const slotBone = this.slot.bone; + if (skeleton.skin != null) this.sortPathSlot(skeleton, skeleton.skin, slotIndex, slotBone); + if (skeleton.data.defaultSkin != null && skeleton.data.defaultSkin !== skeleton.skin) + this.sortPathSlot(skeleton, skeleton.data.defaultSkin, slotIndex, slotBone); + this.sortPath(skeleton, this.slot.pose.attachment, slotBone); + const bones = this.bones; + const boneCount = this.bones.length; + for (let i = 0; i < boneCount; i++) { + const bone = bones[i].bone; + skeleton.sortBone(bone); + skeleton.constrained(bone); + } + skeleton._updateCache.push(this); + for (let i = 0; i < boneCount; i++) + skeleton.sortReset(bones[i].bone.children); + for (let i = 0; i < boneCount; i++) + bones[i].bone.sorted = true; + } + sortPathSlot(skeleton, skin, slotIndex, slotBone) { + const entries = skin.getAttachments(); + for (let i = 0, n = entries.length; i < n; i++) { + const entry = entries[i]; + if (entry.slotIndex === slotIndex) this.sortPath(skeleton, entry.attachment, slotBone); + } + } + sortPath(skeleton, attachment, slotBone) { + if (!(attachment instanceof PathAttachment)) return; + const pathBones = attachment.bones; + if (pathBones == null) + skeleton.sortBone(slotBone); + else { + const bones = skeleton.bones; + for (let i = 0, n = pathBones.length; i < n; ) { + let nn = pathBones[i++]; + nn += i; + while (i < nn) + skeleton.sortBone(bones[pathBones[i++]]); + } + } + } + isSourceActive() { + return this.slot.bone.active; + } + }; + + // spine-core/src/Physics.ts + var Physics = /* @__PURE__ */ ((Physics2) => { + Physics2[Physics2["none"] = 0] = "none"; + Physics2[Physics2["reset"] = 1] = "reset"; + Physics2[Physics2["update"] = 2] = "update"; + Physics2[Physics2["pose"] = 3] = "pose"; + return Physics2; + })(Physics || {}); + + // spine-core/src/PhysicsConstraintPose.ts + var PhysicsConstraintPose = class { + /** Controls how much bone movement is converted into physics movement. */ + inertia = 0; + /** The amount of force used to return properties to the unconstrained value. */ + strength = 0; + /** Reduces the speed of physics movements, with more of a reduction at higher speeds. */ + damping = 0; + /** Determines susceptibility to acceleration. */ + massInverse = 0; + /** Applies a constant force along the {@link Skeleton.windX}, {@link Skeleton.windY} vector. */ + wind = 0; + /** Applies a constant force along the {@link Skeleton.gravityX}, {@link Skeleton.gravityY} vector. */ + gravity = 0; + /** A percentage (0+) that controls the mix between the constrained and unconstrained poses. */ + mix = 0; + set(pose) { + this.inertia = pose.inertia; + this.strength = pose.strength; + this.damping = pose.damping; + this.massInverse = pose.massInverse; + this.wind = pose.wind; + this.gravity = pose.gravity; + this.mix = pose.mix; + } + }; + + // spine-core/src/SlotPose.ts + var SlotPose = class { + /** The color used to tint the slot's attachment. If {@link darkColor} is set, this is used as the light color for two color + * tinting. */ + color = new Color(1, 1, 1, 1); + /** The dark color used to tint the slot's attachment for two color tinting, or null if two color tinting is not used. The dark + * color's alpha is not used. */ + darkColor = null; + /** The current attachment for the slot, or null if the slot has no attachment. */ + attachment = null; + // Not used in setup pose. + /** The index of the texture region to display when the slot's attachment has a {@link Sequence}. -1 represents the + * {@link Sequence.getSetupIndex}. */ + sequenceIndex = 0; + /** Values to deform the slot's attachment. For an unweighted mesh, the entries are local positions for each vertex. For a + * weighted mesh, the entries are an offset for each vertex which will be added to the mesh's local vertex positions. + * + * See {@link VertexAttachment.computeWorldVertices} and + * {@link DeformTimeline}. */ + deform = []; + SlotPose() { + } + set(pose) { + if (pose == null) throw new Error("pose cannot be null."); + this.color.setFromColor(pose.color); + if (this.darkColor != null && pose.darkColor != null) this.darkColor.setFromColor(pose.darkColor); + this.attachment = pose.attachment; + this.sequenceIndex = pose.sequenceIndex; + this.deform.length = 0; + this.deform.push(...pose.deform); + } + /** The current attachment for the slot, or null if the slot has no attachment. */ + getAttachment() { + return this.attachment; + } + /** Sets the slot's attachment and, if the attachment changed, resets {@link sequenceIndex} and clears the {@link deform}. + * The deform is not cleared if the old attachment has the same {@link VertexAttachment.getTimelineAttachment} as the + * specified attachment. */ + setAttachment(attachment) { + if (this.attachment === attachment) return; + if (!(attachment instanceof VertexAttachment) || !(this.attachment instanceof VertexAttachment) || attachment.timelineAttachment !== this.attachment.timelineAttachment) { + this.deform.length = 0; + } + this.attachment = attachment; + this.sequenceIndex = -1; + } + }; + + // spine-core/src/Slot.ts + var Slot = class _Slot extends Posed { + skeleton; + /** The bone this slot belongs to. */ + bone; + attachmentState = 0; + constructor(data, skeleton) { + super(data, new SlotPose(), new SlotPose()); + if (!skeleton) throw new Error("skeleton cannot be null."); + this.skeleton = skeleton; + this.bone = skeleton.bones[data.boneData.index]; + if (data.setupPose.darkColor != null) { + this.pose.darkColor = new Color(); + this.constrainedPose.darkColor = new Color(); + } + this.setupPose(); + } + /** Copy constructor. */ + copy(slot, bone, skeleton) { + const copy = new _Slot(slot.data, this.skeleton); + if (this.data.setupPose.darkColor != null) { + copy.pose.darkColor = new Color(); + copy.constrainedPose.darkColor = new Color(); + } + copy.pose.set(slot.pose); + return copy; + } + setupPose() { + this.pose.color.setFromColor(this.data.setupPose.color); + if (this.pose.darkColor) this.pose.darkColor.setFromColor(this.data.setupPose.darkColor); + this.pose.sequenceIndex = this.data.setupPose.sequenceIndex; + if (!this.data.attachmentName) + this.pose.setAttachment(null); + else { + this.pose.attachment = null; + this.pose.setAttachment(this.skeleton.getAttachment(this.data.index, this.data.attachmentName)); + } + } + }; + + // spine-core/src/Skeleton.ts + var Skeleton = class _Skeleton { + static quadTriangles = [0, 1, 2, 2, 3, 0]; + static yDown = false; + static get yDir() { + return _Skeleton.yDown ? -1 : 1; + } + /** The skeleton's setup pose data. */ + data; + /** The skeleton's bones, sorted parent first. The root bone is always the first bone. */ + bones; + /** The skeleton's slots. To add a slot, also add it to {@link DrawOrder.pose}. */ + slots; + /** The skeleton's draw order. Use {@link DrawOrder.appliedPose} for rendering and {@link DrawOrder.pose} for changing the draw + * order. */ + drawOrder; + /** The skeleton's constraints. */ + // biome-ignore lint/suspicious/noExplicitAny: reference runtime does not restrict to specific types + constraints; + /** The skeleton's physics constraints. */ + physics; + /** The list of bones and constraints, sorted in the order they should be updated, as computed by {@link updateCache}. */ + // biome-ignore lint/suspicious/noExplicitAny: reference runtime does not restrict to specific types + _updateCache = []; + // biome-ignore lint/suspicious/noExplicitAny: reference runtime does not restrict to specific types + resetCache = []; + /** The skeleton's current skin. May be null. */ + skin = null; + /** The color to tint all the skeleton's attachments. */ + color; + /** Scales the entire skeleton on the X axis. + * + * Bones that do not inherit scale are still affected by this property. */ + scaleX = 1; + _scaleY = 1; + /** Scales the entire skeleton on the Y axis. + * + * Bones that do not inherit scale are still affected by this property. */ + get scaleY() { + return this._scaleY * _Skeleton.yDir; + } + set scaleY(scaleY) { + this._scaleY = scaleY; + } + /** Sets the skeleton X position, which is added to the root bone worldX position. + * + * Bones that do not inherit translation are still affected by this property. */ + x = 0; + /** Sets the skeleton Y position, which is added to the root bone worldY position. + * + * Bones that do not inherit translation are still affected by this property. */ + y = 0; + /** Returns the skeleton's time, is used for time-based manipulations, such as {@link PhysicsConstraint}. + * + * See {@link _update}. */ + time = 0; + /** The x component of a vector that defines the direction {@link PhysicsConstraintPose.wind} is applied. */ + windX = 1; + /** The y component of a vector that defines the direction {@link PhysicsConstraintPose.wind} is applied. */ + windY = 0; + /** The x component of a vector that defines the direction {@link PhysicsConstraintPose.gravity} is applied. */ + gravityX = 0; + /** The y component of a vector that defines the direction {@link PhysicsConstraintPose.gravity} is applied. */ + gravityY = 1; + _update = 0; + constructor(data) { + if (!data) throw new Error("data cannot be null."); + this.data = data; + this.bones = []; + for (let i = 0; i < data.bones.length; i++) { + const boneData = data.bones[i]; + let bone; + if (!boneData.parent) + bone = new Bone(boneData, null); + else { + const parent = this.bones[boneData.parent.index]; + bone = new Bone(boneData, parent); + parent.children.push(bone); + } + this.bones.push(bone); + } + this.slots = []; + for (const slotData of this.data.slots) + this.slots.push(new Slot(slotData, this)); + this.drawOrder = new DrawOrder(this.slots); + this.physics = []; + this.constraints = []; + for (const constraintData of this.data.constraints) { + const constraint = constraintData.create(this); + if (constraint instanceof PhysicsConstraint) this.physics.push(constraint); + this.constraints.push(constraint); + } + this.color = new Color(1, 1, 1, 1); + this.updateCache(); + } + /** Caches information about bones and constraints. Must be called if the {@link skin} is modified or if bones, constraints, + * or weighted path attachments are added or removed. */ + updateCache() { + this._updateCache.length = 0; + this.resetCache.length = 0; + this.drawOrder.unconstrained(); + const slots = this.slots; + for (let i = 0, n2 = slots.length; i < n2; i++) + slots[i].unconstrained(); + const bones = this.bones; + const boneCount = bones.length; + for (let i = 0, n2 = boneCount; i < n2; i++) { + const bone = bones[i]; + bone.sorted = bone.data.skinRequired; + bone.active = !bone.sorted; + bone.unconstrained(); + } + if (this.skin) { + const skinBones = this.skin.bones; + for (let i = 0, n2 = this.skin.bones.length; i < n2; i++) { + let bone = this.bones[skinBones[i].index]; + do { + bone.sorted = false; + bone.active = true; + bone = bone.parent; + } while (bone); + } + } + const constraints = this.constraints; + let n = this.constraints.length; + for (let i = 0; i < n; i++) + constraints[i].unconstrained(); + for (let i = 0; i < n; i++) { + const constraint = constraints[i]; + constraint.active = constraint.isSourceActive() && (!constraint.data.skinRequired || this.skin != null && this.skin.constraints.includes(constraint.data)); + if (constraint.active) constraint.sort(this); + } + for (let i = 0; i < boneCount; i++) + this.sortBone(bones[i]); + n = this._updateCache.length; + for (let i = 0; i < n; i++) { + const updateable = this._updateCache[i]; + if (updateable instanceof Bone) this._updateCache[i] = updateable.appliedPose; + } + } + // biome-ignore lint/suspicious/noExplicitAny: reference runtime does not restrict to specific types + constrained(object) { + if (object.pose === object.appliedPose) { + object.constrained(); + this.resetCache.push(object); + } + } + sortBone(bone) { + if (bone.sorted || !bone.active) return; + const parent = bone.parent; + if (parent) this.sortBone(parent); + bone.sorted = true; + this._updateCache.push(bone); + } + sortReset(bones) { + for (let i = 0, n = bones.length; i < n; i++) { + const bone = bones[i]; + if (bone.active) { + if (bone.sorted) this.sortReset(bone.children); + bone.sorted = false; + } + } + } + /** Updates the world transform for each bone and applies all constraints. + * + * See World transforms in the Spine + * Runtimes Guide. */ + updateWorldTransform(physics) { + this._update++; + if (this.drawOrder.appliedPose === this.drawOrder.constrainedPose) this.drawOrder.resetConstrained(); + const resetCache = this.resetCache; + for (let i = 0, n = this.resetCache.length; i < n; i++) + resetCache[i].resetConstrained(); + const updateCache = this._updateCache; + for (let i = 0, n = this._updateCache.length; i < n; i++) + updateCache[i].update(this, physics); + } + /** Sets the bones, constraints, and slots to their setup pose values. */ + setupPose() { + this.setupPoseBones(); + this.setupPoseSlots(); + } + /** Sets the bones and constraints to their setup pose values. */ + setupPoseBones() { + const bones = this.bones; + for (let i = 0, n = bones.length; i < n; i++) + bones[i].setupPose(); + const constraints = this.constraints; + for (let i = 0, n = constraints.length; i < n; i++) + constraints[i].setupPose(); + } + /** Sets the slots and draw order to their setup pose values. */ + setupPoseSlots() { + this.drawOrder.setupPose(); + const slots = this.slots; + for (let i = 0, n = slots.length; i < n; i++) + slots[i].setupPose(); + } + /** Returns the root bone, or null if the skeleton has no bones. */ + getRootBone() { + if (this.bones.length === 0) return null; + return this.bones[0]; + } + /** Finds a bone by comparing each bone's name. It is more efficient to cache the results of this method than to call it + * repeatedly. */ + findBone(boneName) { + if (!boneName) throw new Error("boneName cannot be null."); + const bones = this.bones; + for (let i = 0, n = bones.length; i < n; i++) + if (bones[i].data.name === boneName) return bones[i]; + return null; + } + /** Finds a slot by comparing each slot's name. It is more efficient to cache the results of this method than to call it + * repeatedly. */ + findSlot(slotName) { + if (!slotName) throw new Error("slotName cannot be null."); + const slots = this.slots; + for (let i = 0, n = slots.length; i < n; i++) + if (slots[i].data.name === slotName) return slots[i]; + return null; + } + setSkin(newSkin) { + if (typeof newSkin === "string") + this.setSkinByName(newSkin); + else + this.setSkinBySkin(newSkin); + } + setSkinByName(skinName) { + const skin = this.data.findSkin(skinName); + if (!skin) throw new Error(`Skin not found: ${skinName}`); + this.setSkin(skin); + } + setSkinBySkin(newSkin) { + if (newSkin === this.skin) return; + if (newSkin) { + if (this.skin) + newSkin.attachAll(this, this.skin); + else { + const slots = this.slots; + for (let i = 0, n = slots.length; i < n; i++) { + const slot = slots[i]; + const name = slot.data.attachmentName; + if (name) { + const attachment = newSkin.getAttachment(i, name); + if (attachment) slot.pose.setAttachment(attachment); + } + } + } + } + this.skin = newSkin; + this.updateCache(); + } + getAttachment(slotNameOrIndex, placeholder) { + if (typeof slotNameOrIndex === "string") + return this.getAttachmentByName(slotNameOrIndex, placeholder); + return this.getAttachmentByIndex(slotNameOrIndex, placeholder); + } + /** Finds an attachment by looking in the {@link skin} and {@link SkeletonData.defaultSkin} using the slot name and attachment + * name. + * + * See {@link getAttachment}. + * @returns May be null. */ + getAttachmentByName(slotName, placeholder) { + const slot = this.data.findSlot(slotName); + if (!slot) throw new Error(`Can't find slot with name ${slotName}`); + return this.getAttachment(slot.index, placeholder); + } + /** Finds an attachment by looking in the {@link skin} and {@link SkeletonData.defaultSkin} using the slot index and + * attachment name. First the skin is checked and if the attachment was not found, the default skin is checked. + * + * See [Runtime skins](http://esotericsoftware.com/spine-runtime-skins) in the Spine Runtimes Guide. + * @returns May be null. */ + getAttachmentByIndex(slotIndex, placeholder) { + if (!placeholder) throw new Error("placeholder cannot be null."); + if (this.skin) { + const attachment = this.skin.getAttachment(slotIndex, placeholder); + if (attachment) return attachment; + } + if (this.data.defaultSkin) return this.data.defaultSkin.getAttachment(slotIndex, placeholder); + return null; + } + /** A convenience method to set an attachment by finding the slot with {@link findSlot}, finding the attachment with + * {@link getAttachment}, then setting the slot's {@link Slot.attachment}. + * @param placeholder May be null to clear the slot's attachment. */ + setAttachment(slotName, placeholder) { + if (!slotName) throw new Error("slotName cannot be null."); + const slot = this.findSlot(slotName); + if (!slot) throw new Error(`Slot not found: ${slotName}`); + let attachment = null; + if (placeholder) { + attachment = this.getAttachment(slot.data.index, placeholder); + if (!attachment) + throw new Error(`Attachment not found: ${placeholder}, for slot: ${slotName}`); + } + slot.pose.setAttachment(attachment); + } + /** Finds a constraint of the specified type by comparing each constraints's name. It is more efficient to cache the results of + * this method than to call it multiple times. */ + // biome-ignore lint/suspicious/noExplicitAny: reference runtime does not restrict to specific types + findConstraint(constraintName, type) { + if (constraintName == null) throw new Error("constraintName cannot be null."); + if (type == null) throw new Error("type cannot be null."); + const constraints = this.constraints; + for (let i = 0, n = constraints.length; i < n; i++) { + const constraint = constraints[i]; + if (constraint instanceof type && constraint.data.name === constraintName) return constraint; + } + return null; + } + /** Returns the axis aligned bounding box (AABB) of the region and mesh attachments for the applied pose. + * @param offset An output value, the distance from the skeleton origin to the bottom left corner of the AABB. + * @param size An output value, the width and height of the AABB. + * @param temp Working memory to temporarily store attachments' computed world vertices. */ + getBoundsRect(clipper) { + const offset = new Vector2(); + const size = new Vector2(); + this.getBounds(offset, size, void 0, clipper); + return { x: offset.x, y: offset.y, width: size.x, height: size.y }; + } + /** Returns the axis aligned bounding box (AABB) of the region and mesh attachments for the applied pose. Optionally applies + * clipping. + * @param offset An output value, the distance from the skeleton origin to the bottom left corner of the AABB. + * @param size An output value, the width and height of the AABB. + * @param temp Working memory to temporarily store attachments' computed world vertices. + * @param clipper {@link SkeletonClipping} to use. If `null`, no clipping is applied. */ + getBounds(offset, size, temp = new Array(2), clipper = null) { + if (!offset) throw new Error("offset cannot be null."); + if (!size) throw new Error("size cannot be null."); + const drawOrder = this.drawOrder.appliedPose; + const slots = drawOrder; + let minX = Number.POSITIVE_INFINITY, minY = Number.POSITIVE_INFINITY, maxX = Number.NEGATIVE_INFINITY, maxY = Number.NEGATIVE_INFINITY; + for (let i = 0, n = drawOrder.length; i < n; i++) { + const slot = slots[i]; + if (!slot.bone.active) continue; + let verticesLength = 0; + let vertices = null; + let triangles = null; + const attachment = slot.appliedPose.attachment; + if (attachment) { + if (attachment instanceof RegionAttachment) { + verticesLength = 8; + vertices = Utils.setArraySize(temp, verticesLength, 0); + attachment.computeWorldVertices(slot, attachment.getOffsets(slot.appliedPose), vertices, 0, 2); + triangles = _Skeleton.quadTriangles; + } else if (attachment instanceof MeshAttachment) { + verticesLength = attachment.worldVerticesLength; + vertices = Utils.setArraySize(temp, verticesLength, 0); + attachment.computeWorldVertices(this, slot, 0, verticesLength, vertices, 0, 2); + triangles = attachment.triangles; + } else if (attachment instanceof ClippingAttachment && clipper) { + clipper.clipEnd(slot); + clipper.clipStart(this, slot, attachment); + continue; + } + if (vertices && triangles) { + if (clipper?.isClipping() && clipper.clipTriangles(vertices, triangles, triangles.length)) { + vertices = clipper.clippedVertices; + verticesLength = clipper.clippedVertices.length; + } + for (let ii = 0, nn = vertices.length; ii < nn; ii += 2) { + const x = vertices[ii], y = vertices[ii + 1]; + minX = Math.min(minX, x); + minY = Math.min(minY, y); + maxX = Math.max(maxX, x); + maxY = Math.max(maxY, y); + } + } + } + if (clipper) clipper.clipEnd(slot); + } + if (clipper) clipper.clipEnd(); + offset.set(minX, minY); + size.set(maxX - minX, maxY - minY); + } + /** Scales the entire skeleton on the X and Y axes. + * + * Bones that do not inherit scale are still affected by this property. */ + setScale(scaleX, scaleY) { + this.scaleX = scaleX; + this.scaleY = scaleY; + } + /** Sets the skeleton X and Y position, which is added to the root bone worldX and worldY position. + * + * Bones that do not inherit translation are still affected by this property. */ + setPosition(x, y) { + this.x = x; + this.y = y; + } + /** Increments the skeleton's {@link time}. */ + update(delta) { + this.time += delta; + } + /** Calls {@link PhysicsConstraint.translate} for each physics constraint. */ + physicsTranslate(x, y) { + const constraints = this.physics; + for (let i = 0, n = constraints.length; i < n; i++) + constraints[i].translate(x, y); + } + /** Calls {@link PhysicsConstraint.rotate} for each physics constraint. */ + physicsRotate(x, y, degrees) { + const constraints = this.physics; + for (let i = 0, n = constraints.length; i < n; i++) + constraints[i].rotate(x, y, degrees); + } + }; + + // spine-core/src/PhysicsConstraint.ts + var PhysicsConstraint = class _PhysicsConstraint extends Constraint { + bone; + _reset = true; + ux = 0; + uy = 0; + cx = 0; + cy = 0; + tx = 0; + ty = 0; + xOffset = 0; + xLag = 0; + xVelocity = 0; + yOffset = 0; + yLag = 0; + yVelocity = 0; + rotateOffset = 0; + rotateLag = 0; + rotateVelocity = 0; + scaleOffset = 0; + scaleLag = 0; + scaleVelocity = 0; + remaining = 0; + lastTime = 0; + constructor(data, skeleton) { + super(data, new PhysicsConstraintPose(), new PhysicsConstraintPose()); + if (skeleton == null) throw new Error("skeleton cannot be null."); + this.bone = skeleton.bones[data.bone.index].constrainedPose; + } + copy(skeleton) { + var copy = new _PhysicsConstraint(this.data, skeleton); + copy.pose.set(this.pose); + return copy; + } + /** Resets all physics state that was the result of previous movement. Use this after moving a bone to prevent physics from + * reacting to the movement. */ + reset(skeleton) { + this.remaining = 0; + this.lastTime = skeleton.time; + this._reset = true; + this.xOffset = 0; + this.xLag = 0; + this.xVelocity = 0; + this.yOffset = 0; + this.yLag = 0; + this.yVelocity = 0; + this.rotateOffset = 0; + this.rotateLag = 0; + this.rotateVelocity = 0; + this.scaleOffset = 0; + this.scaleLag = 0; + this.scaleVelocity = 0; + } + /** Translates the physics constraint so the next {@link update} forces are applied as if the bone moved an + * additional amount in world space. */ + translate(x, y) { + this.ux -= x; + this.uy -= y; + this.cx -= x; + this.cy -= y; + } + /** Rotates the physics constraint so the next {@link update} forces are applied as if the bone rotated + * around the specified point in world space. */ + rotate(x, y, degrees) { + const r = degrees * MathUtils.degRad, cos = Math.cos(r), sin = Math.sin(r); + const dx = this.cx - x, dy = this.cy - y; + this.translate(dx * cos - dy * sin - dx, dx * sin + dy * cos - dy); + } + /** Applies the constraint to the constrained bones. */ + update(skeleton, physics) { + const p = this.appliedPose; + const mix = p.mix; + if (mix === 0) return; + const x = this.data.x > 0, y = this.data.y > 0, rotateOrShearX = this.data.rotate > 0 || this.data.shearX > 0, scaleX = this.data.scaleX > 0; + const bone = this.bone; + let l = bone.bone.data.length, t = this.data.step, z = 0; + if (physics === 0 /* none */) return; + bone.modifyWorld(skeleton); + switch (physics) { + // biome-ignore lint/suspicious/noFallthroughSwitchClause: fall through expected + case 1 /* reset */: + this.reset(skeleton); + // Fall through. + case 2 /* update */: { + const delta = Math.max(skeleton.time - this.lastTime, 0), aa = this.remaining; + this.remaining += delta; + this.lastTime = skeleton.time; + const bx = bone.worldX, by = bone.worldY; + if (this._reset) { + this._reset = false; + this.ux = bx; + this.uy = by; + } else { + let a = this.remaining, i = p.inertia, f = skeleton.data.referenceScale, d = -1, m = 0, e = 0, qx = this.data.limit * delta, qy = qx * Math.abs(skeleton.scaleY); + qx *= Math.abs(skeleton.scaleX); + if (x || y) { + if (x) { + const u = (this.ux - bx) * i; + this.xOffset += u > qx ? qx : u < -qx ? -qx : u; + this.ux = bx; + } + if (y) { + const u = (this.uy - by) * i; + this.yOffset += u > qy ? qy : u < -qy ? -qy : u; + this.uy = by; + } + if (a >= t) { + const xs = this.xOffset, ys = this.yOffset; + d = p.damping ** (60 * t); + m = t * p.massInverse; + e = p.strength; + const w = f * p.wind, g = f * p.gravity; + const ax = (w * skeleton.windX + g * skeleton.gravityX) * skeleton.scaleX; + const ay = (w * skeleton.windY + g * skeleton.gravityY) * skeleton.scaleY; + do { + if (x) { + this.xVelocity += (ax - this.xOffset * e) * m; + this.xOffset += this.xVelocity * t; + this.xVelocity *= d; + } + if (y) { + this.yVelocity -= (ay + this.yOffset * e) * m; + this.yOffset += this.yVelocity * t; + this.yVelocity *= d; + } + a -= t; + } while (a >= t); + this.xLag = this.xOffset - xs; + this.yLag = this.yOffset - ys; + } + z = Math.max(0, 1 - a / t); + if (x) bone.worldX += (this.xOffset - this.xLag * z) * mix * this.data.x; + if (y) bone.worldY += (this.yOffset - this.yLag * z) * mix * this.data.y; + } + if (rotateOrShearX || scaleX) { + let ca = Math.atan2(bone.c, bone.a), c = 0, s = 0, mr = 0, dx = this.cx - bone.worldX, dy = this.cy - bone.worldY; + if (dx > qx) + dx = qx; + else if (dx < -qx) + dx = -qx; + if (dy > qy) + dy = qy; + else if (dy < -qy) + dy = -qy; + a = this.remaining; + if (rotateOrShearX) { + mr = (this.data.rotate + this.data.shearX) * mix; + z = this.rotateLag * Math.max(0, 1 - aa / t); + let r = Math.atan2(dy + this.ty, dx + this.tx) - ca - (this.rotateOffset - z) * mr; + this.rotateOffset += (r - Math.ceil(r * MathUtils.invPI2 - 0.5) * MathUtils.PI2) * i; + r = (this.rotateOffset - z) * mr + ca; + c = Math.cos(r); + s = Math.sin(r); + if (scaleX) { + r = l * bone.getWorldScaleX(); + if (r > 0) this.scaleOffset += (dx * c + dy * s) * i / r; + } + } else { + c = Math.cos(ca); + s = Math.sin(ca); + const r = l * bone.getWorldScaleX() - this.scaleLag * Math.max(0, 1 - aa / t); + if (r > 0) this.scaleOffset += (dx * c + dy * s) * i / r; + } + if (a >= t) { + if (d === -1) { + d = p.damping ** (60 * t); + m = t * p.massInverse; + e = p.strength; + } + const ax = p.wind * skeleton.windX + p.gravity * skeleton.gravityX; + const ay = (p.wind * skeleton.windY + p.gravity * skeleton.gravityY) * Skeleton.yDir; + const rs = this.rotateOffset, ss = this.scaleOffset, h = l / f; + while (true) { + a -= t; + if (scaleX) { + this.scaleVelocity += (ax * c - ay * s - this.scaleOffset * e) * m; + this.scaleOffset += this.scaleVelocity * t; + this.scaleVelocity *= d; + } + if (rotateOrShearX) { + this.rotateVelocity -= ((ax * s + ay * c) * h + this.rotateOffset * e) * m; + this.rotateOffset += this.rotateVelocity * t; + this.rotateVelocity *= d; + if (a < t) break; + const r = this.rotateOffset * mr + ca; + c = Math.cos(r); + s = Math.sin(r); + } else if (a < t) + break; + } + this.rotateLag = this.rotateOffset - rs; + this.scaleLag = this.scaleOffset - ss; + } + z = Math.max(0, 1 - a / t); + } + this.remaining = a; + } + this.cx = bone.worldX; + this.cy = bone.worldY; + break; + } + case 3 /* pose */: + z = Math.max(0, 1 - this.remaining / t); + if (x) bone.worldX += (this.xOffset - this.xLag * z) * mix * this.data.x; + if (y) bone.worldY += (this.yOffset - this.yLag * z) * mix * this.data.y; + } + if (rotateOrShearX) { + let o = (this.rotateOffset - this.rotateLag * z) * mix, s = 0, c = 0, a = 0; + if (this.data.shearX > 0) { + let r = 0; + if (this.data.rotate > 0) { + r = o * this.data.rotate; + s = Math.sin(r); + c = Math.cos(r); + a = bone.b; + bone.b = c * a - s * bone.d; + bone.d = s * a + c * bone.d; + } + r += o * this.data.shearX; + s = Math.sin(r); + c = Math.cos(r); + a = bone.a; + bone.a = c * a - s * bone.c; + bone.c = s * a + c * bone.c; + } else { + o *= this.data.rotate; + s = Math.sin(o); + c = Math.cos(o); + a = bone.a; + bone.a = c * a - s * bone.c; + bone.c = s * a + c * bone.c; + a = bone.b; + bone.b = c * a - s * bone.d; + bone.d = s * a + c * bone.d; + } + } + if (scaleX) { + let s = 1 + (this.scaleOffset - this.scaleLag * z) * mix * this.data.scaleX; + bone.a *= s; + bone.c *= s; + switch (this.data.scaleYMode) { + case 1 /* Uniform */: + bone.b *= s; + bone.d *= s; + break; + case 2 /* Volume */: + s = Math.abs(s); + s = s >= 0.7 ? 1 / s : 4 - 3.67347 * s; + bone.b *= s; + bone.d *= s; + } + } + if (physics !== 3 /* pose */) { + this.tx = l * bone.a; + this.ty = l * bone.c; + } + } + sort(skeleton) { + const bone = this.bone.bone; + skeleton.sortBone(bone); + skeleton._updateCache.push(this); + skeleton.sortReset(bone.children); + skeleton.constrained(bone); + } + isSourceActive() { + return this.bone.bone.active; + } + }; + + // spine-core/src/PhysicsConstraintData.ts + var PhysicsConstraintData = class extends ConstraintData { + /** The bone constrained by this physics constraint. */ + set bone(boneData) { + this._bone = boneData; + } + get bone() { + if (!this._bone) throw new Error("BoneData not set."); + else return this._bone; + } + _bone = null; + /** Physics influence on x translation, 0-1. */ + x = 0; + /** Physics influence on y translation, 0-1. */ + y = 0; + /** Physics influence on rotation, 0-1. */ + rotate = 0; + /** Physics influence on scaleX, 0-1. */ + scaleX = 0; + /** Physics influence on shearX, 0-1. */ + shearX = 0; + /** Movement greater than the limit will not have a greater affect on physics. */ + limit = 0; + /** The time in milliseconds required to advanced the physics simulation one step. */ + step = 0; + /** True when this constraint's inertia is controlled by global slider timelines. */ + inertiaGlobal = false; + /** True when this constraint's strength is controlled by global slider timelines. */ + strengthGlobal = false; + /** True when this constraint's damping is controlled by global slider timelines. */ + dampingGlobal = false; + /** True when this constraint's mass is controlled by global slider timelines. */ + massGlobal = false; + /** True when this constraint's wind is controlled by global slider timelines. */ + windGlobal = false; + /** True when this constraint's gravity is controlled by global slider timelines. */ + gravityGlobal = false; + /** True when this constraint's mix is controlled by global slider timelines. */ + mixGlobal = false; + /** Determines how the {@link BonePose.scaleY} changes when {@link BonePose.scaleX} sets + * {@link BonePose.scaleX}. */ + _scaleYMode = 0 /* None */; + get scaleYMode() { + return this._scaleYMode; + } + set scaleYMode(scaleYMode) { + if (scaleYMode == null) throw new Error("scaleYMode cannot be null."); + this._scaleYMode = scaleYMode; + } + constructor(name) { + super(name, new PhysicsConstraintPose()); + } + create(skeleton) { + return new PhysicsConstraint(this, skeleton); + } + }; + + // spine-core/src/polyfills.ts + (() => { + if (typeof Math.fround === "undefined") { + Math.fround = /* @__PURE__ */ ((array) => (x) => { + array[0] = x; + return array[0]; + })(new Float32Array(1)); + } + })(); + + // spine-core/src/SliderPose.ts + var SliderPose = class { + /** The time in the {@link SliderData.animation} to apply the animation. */ + time = 0; + /** A percentage (unbounded) that controls the mix between the constrained and unconstrained poses. */ + mix = 0; + set(pose) { + this.time = pose.time; + this.mix = pose.mix; + } + }; + + // spine-core/src/Slider.ts + var Slider = class _Slider extends Constraint { + static offsets = [0, 0, 0, 0, 0, 0]; + /** When set, the bone's transform property is used to set the slider's {@link SliderPose.time}. */ + bone = null; + constructor(data, skeleton) { + super(data, new SliderPose(), new SliderPose()); + if (!skeleton) throw new Error("skeleton cannot be null."); + if (data.bone != null) this.bone = skeleton.bones[data.bone.index]; + } + copy(skeleton) { + var copy = new _Slider(this.data, skeleton); + copy.pose.set(this.pose); + return copy; + } + update(skeleton, physics) { + const p = this.appliedPose; + if (p.mix === 0) return; + const data = this.data, animation = data.animation, bone = this.bone; + if (bone !== null) { + if (!bone.active) return; + if (data.local) bone.appliedPose.validateLocalTransform(skeleton); + p.time = data.offset + (data.property.value(skeleton, bone.appliedPose, data.local, _Slider.offsets) - data.property.offset) * data.scale; + if (data.loop) + p.time = animation.duration + p.time % animation.duration; + else + p.time = Math.max(0, p.time); + } + const bones = skeleton.bones; + const indices = animation.bones; + for (let i = 0, n = animation.bones.length; i < n; i++) + bones[indices[i]].appliedPose.modifyLocal(skeleton); + animation.apply(skeleton, p.time, p.time, data.loop, null, p.mix, 0 /* current */, data.additive, false, true); + } + sort(skeleton) { + const bone = this.bone; + const data = this.data; + if (bone && !data.local) skeleton.sortBone(bone); + skeleton._updateCache.push(this); + const bones = skeleton.bones; + const indices = data.animation.bones; + for (let i = 0, n = data.animation.bones.length; i < n; i++) { + const bone2 = bones[indices[i]]; + bone2.sorted = false; + skeleton.sortReset(bone2.children); + skeleton.constrained(bone2); + } + const timelines = data.animation.timelines; + const slots = skeleton.slots; + const constraints = skeleton.constraints; + const physics = skeleton.physics; + const physicsCount = skeleton.physics.length; + for (let i = 0, n = data.animation.timelines.length; i < n; i++) { + const t = timelines[i]; + if (isSlotTimeline(t)) + skeleton.constrained(slots[t.slotIndex]); + else if (t instanceof DrawOrderTimeline || t instanceof DrawOrderFolderTimeline) + skeleton.drawOrder.constrained(); + else if (t instanceof PhysicsConstraintTimeline) { + if (t.constraintIndex === -1) { + for (let ii = 0; ii < physicsCount; ii++) + skeleton.constrained(physics[ii]); + } else + skeleton.constrained(constraints[t.constraintIndex]); + } else if (isConstraintTimeline(t)) { + const constraintIndex = t.constraintIndex; + if (constraintIndex !== -1) skeleton.constrained(constraints[constraintIndex]); + } + } + } + }; + + // spine-core/src/SliderData.ts + var SliderData = class extends ConstraintData { + /** The animation the slider will apply. */ + animation; + /** When true, the animation is applied by adding it to the current pose rather than overwriting it. */ + additive = false; + /** When true, the animation repeats after its duration, otherwise the last frame is used. */ + loop = false; + /** When set, the bone's transform property is used to set the slider's {@link SliderPose.time}. */ + bone = null; + /** When a bone is set, the specified transform property is used to set the slider's {@link SliderPose.time}. */ + property; + /** When a bone is set, this is the scale of the {@link property} value in relation to the slider time. */ + scale = 0; + /** When a bone is set, the offset is added to the property. */ + offset = 0; + /** When true and a bone is set, the bone's local transform property is read instead of its world transform. */ + local = false; + // Nonessential. + /** When a bone is set, the maximum slider time for the bone property range, or 0 if nonessential data was not exported. */ + max = 0; + constructor(name) { + super(name, new SliderPose()); + } + create(skeleton) { + return new Slider(this, skeleton); + } + }; + + // spine-core/src/SkeletonData.ts + var SkeletonData = class { + /** The skeleton's name, which by default is the name of the skeleton data file, if possible. May be null. */ + name = null; + /** The skeleton's bones, sorted parent first. The root bone is always the first bone. */ + bones = []; + // Ordered parents first. + /** The skeleton's slots in the setup pose draw order. */ + slots = []; + // Setup pose draw order. + skins = []; + /** The skeleton's default skin. By default this skin contains all attachments that were not in a skin in Spine. + * + * See {@link Skeleton.getAttachmentByName}. + * May be null. */ + defaultSkin = null; + /** The skeleton's events. */ + events = []; + /** The skeleton's animations. */ + animations = []; + /** The skeleton's IK constraints. */ + // biome-ignore lint/suspicious/noExplicitAny: reference runtime does not restrict to specific types + constraints = []; + /** The X coordinate of the skeleton's axis aligned bounding box in the setup pose. */ + x = 0; + /** The Y coordinate of the skeleton's axis aligned bounding box in the setup pose. */ + y = 0; + /** The width of the skeleton's axis aligned bounding box in the setup pose. */ + width = 0; + /** The height of the skeleton's axis aligned bounding box in the setup pose. */ + height = 0; + /** Baseline scale factor for applying distance-dependent effects on non-scalable properties, such as angle or scale. Default + * is 100. */ + referenceScale = 100; + /** The Spine version used to export the skeleton data, or null. */ + version = null; + /** The skeleton data hash. This value will change if any of the skeleton data has changed. May be null. */ + hash = null; + // Nonessential + /** The dopesheet FPS in Spine. Available only when nonessential data was exported. */ + fps = 30; + /** The path to the images folder as defined in Spine. Available only when nonessential data was exported. May be null. */ + imagesPath = null; + /** The path to the audio folder as defined in Spine. Available only when nonessential data was exported. May be null. */ + audioPath = null; + /** Finds a bone by comparing each bone's name. It is more efficient to cache the results of this method than to call it + * multiple times. + * @returns May be null. */ + findBone(boneName) { + if (!boneName) throw new Error("boneName cannot be null."); + const bones = this.bones; + for (let i = 0, n = bones.length; i < n; i++) + if (bones[i].name === boneName) return bones[i]; + return null; + } + /** Finds a slot by comparing each slot's name. It is more efficient to cache the results of this method than to call it + * multiple times. + * @returns May be null. */ + findSlot(slotName) { + if (!slotName) throw new Error("slotName cannot be null."); + const slots = this.slots; + for (let i = 0, n = slots.length; i < n; i++) + if (slots[i].name === slotName) return slots[i]; + return null; + } + /** Finds a skin by comparing each skin's name. It is more efficient to cache the results of this method than to call it + * multiple times. + * @returns May be null. */ + findSkin(skinName) { + if (!skinName) throw new Error("skinName cannot be null."); + const skins = this.skins; + for (let i = 0, n = skins.length; i < n; i++) + if (skins[i].name === skinName) return skins[i]; + return null; + } + /** Finds an event by comparing each events's name. It is more efficient to cache the results of this method than to call it + * multiple times. + * @returns May be null. */ + findEvent(eventDataName) { + if (!eventDataName) throw new Error("eventDataName cannot be null."); + const events = this.events; + for (let i = 0, n = events.length; i < n; i++) + if (events[i].name === eventDataName) return events[i]; + return null; + } + /** Collects animations used by {@link SliderData slider constraints}. + * + * Slider animations are designed to be applied by slider constraints rather than on their own. Applications that have a user + * choose an animation may want to exclude them. */ + findSliderAnimations(animations) { + const constraints = this.constraints; + for (let i = 0, n = this.constraints.length; i < n; i++) { + const data = constraints[i]; + if (data instanceof SliderData && data.animation != null) animations.push(data.animation); + } + return animations; + } + /** Finds an animation by comparing each animation's name. It is more efficient to cache the results of this method than to + * call it multiple times. + * @returns May be null. */ + findAnimation(animationName) { + if (!animationName) throw new Error("animationName cannot be null."); + const animations = this.animations; + for (let i = 0, n = animations.length; i < n; i++) + if (animations[i].name === animationName) return animations[i]; + return null; + } + // --- Constraints. + /** Finds a constraint of the specified type by comparing each constraints's name. It is more efficient to cache the results of + * this method than to call it multiple times. */ + // biome-ignore lint/suspicious/noExplicitAny: reference runtime does not restrict to specific types + findConstraint(constraintName, type) { + if (!constraintName) throw new Error("constraintName cannot be null."); + if (type == null) throw new Error("type cannot be null."); + const constraints = this.constraints; + for (let i = 0, n = this.constraints.length; i < n; i++) { + const constraint = constraints[i]; + if (constraint instanceof type && constraint.name === constraintName) return constraint; + } + return null; + } + }; + + // spine-core/src/Skin.ts + var SkinEntry = class { + /** The {@link Skeleton.slots} index. */ + slotIndex = 0; + placeholder; + /** The attachment for this skin entry. */ + attachment; + constructor(slotIndex = 0, placeholder, attachment) { + this.slotIndex = slotIndex; + this.placeholder = placeholder; + this.attachment = attachment; + } + }; + var Skin = class { + /** The skin's name, unique across all skins in the skeleton. + * + * See {@link SkeletonData.findSkin}. */ + name; + attachments = []; + bones = []; + // biome-ignore lint/suspicious/noExplicitAny: reference runtime does not restrict to specific types + constraints = []; + /** The color of the skin as it was in Spine, or a default color if nonessential data was not exported. */ + color = new Color(0.99607843, 0.61960787, 0.30980393, 1); + // fe9e4fff + constructor(name) { + if (!name) throw new Error("name cannot be null."); + this.name = name; + } + /** Adds an attachment to the skin for the specified slot index and name. */ + setAttachment(slotIndex, placeholder, attachment) { + if (!attachment) throw new Error("attachment cannot be null."); + const attachments = this.attachments; + if (slotIndex >= attachments.length) attachments.length = slotIndex + 1; + if (!attachments[slotIndex]) attachments[slotIndex] = {}; + attachments[slotIndex][placeholder] = attachment; + } + /** Adds all attachments, bones, and constraints from the specified skin to this skin. */ + addSkin(skin) { + for (let i = 0; i < skin.bones.length; i++) { + const bone = skin.bones[i]; + let contained = false; + for (let ii = 0; ii < this.bones.length; ii++) { + if (this.bones[ii] === bone) { + contained = true; + break; + } + } + if (!contained) this.bones.push(bone); + } + for (let i = 0; i < skin.constraints.length; i++) { + const constraint = skin.constraints[i]; + let contained = false; + for (let ii = 0; ii < this.constraints.length; ii++) { + if (this.constraints[ii] === constraint) { + contained = true; + break; + } + } + if (!contained) this.constraints.push(constraint); + } + const attachments = skin.getAttachments(); + for (let i = 0; i < attachments.length; i++) { + const attachment = attachments[i]; + this.setAttachment(attachment.slotIndex, attachment.placeholder, attachment.attachment); + } + } + /** Adds all bones and constraints and copies of all attachments from the specified skin to this skin. Mesh attachments are not + * copied, instead a new linked mesh is created. The attachment copies can be modified without affecting the originals. */ + copySkin(skin) { + for (let i = 0; i < skin.bones.length; i++) { + const bone = skin.bones[i]; + let contained = false; + for (let ii = 0; ii < this.bones.length; ii++) { + if (this.bones[ii] === bone) { + contained = true; + break; + } + } + if (!contained) this.bones.push(bone); + } + for (let i = 0; i < skin.constraints.length; i++) { + const constraint = skin.constraints[i]; + let contained = false; + for (let ii = 0; ii < this.constraints.length; ii++) { + if (this.constraints[ii] === constraint) { + contained = true; + break; + } + } + if (!contained) this.constraints.push(constraint); + } + const attachments = skin.getAttachments(); + for (let i = 0; i < attachments.length; i++) { + const attachment = attachments[i]; + if (!attachment.attachment) continue; + if (attachment.attachment instanceof MeshAttachment) { + attachment.attachment = attachment.attachment.newLinkedMesh(); + this.setAttachment(attachment.slotIndex, attachment.placeholder, attachment.attachment); + } else { + attachment.attachment = attachment.attachment.copy(); + this.setAttachment(attachment.slotIndex, attachment.placeholder, attachment.attachment); + } + } + } + /** Returns the attachment for the specified slot index and placeholder, or null. */ + getAttachment(slotIndex, placeholder) { + const dictionary = this.attachments[slotIndex]; + return dictionary ? dictionary[placeholder] : null; + } + /** Removes the attachment in the skin for the specified slot index and placeholder, if any. */ + removeAttachment(slotIndex, placeholder) { + const dictionary = this.attachments[slotIndex]; + if (dictionary) delete dictionary[placeholder]; + } + /** Returns all attachments in this skin. */ + getAttachments() { + const entries = []; + for (let i = 0; i < this.attachments.length; i++) { + const slotAttachments = this.attachments[i]; + if (slotAttachments) { + for (const name in slotAttachments) { + const attachment = slotAttachments[name]; + if (attachment) entries.push(new SkinEntry(i, name, attachment)); + } + } + } + return entries; + } + /** Returns all attachments in this skin for the specified slot index. */ + getAttachmentsForSlot(slotIndex, attachments) { + const slotAttachments = this.attachments[slotIndex]; + if (slotAttachments) { + for (const name in slotAttachments) { + const attachment = slotAttachments[name]; + if (attachment) attachments.push(new SkinEntry(slotIndex, name, attachment)); + } + } + } + /** Clears all attachments, bones, and constraints. */ + clear() { + this.attachments.length = 0; + this.bones.length = 0; + this.constraints.length = 0; + } + /** Attach each attachment in this skin if the corresponding attachment in the old skin is currently attached. */ + attachAll(skeleton, oldSkin) { + let slotIndex = 0; + for (let i = 0; i < skeleton.slots.length; i++) { + const slot = skeleton.slots[i]; + const slotAttachment = slot.pose.getAttachment(); + if (slotAttachment && slotIndex < oldSkin.attachments.length) { + const dictionary = oldSkin.attachments[slotIndex]; + for (const placeholder in dictionary) { + const skinAttachment = dictionary[placeholder]; + if (slotAttachment === skinAttachment) { + const attachment = this.getAttachment(slotIndex, placeholder); + if (attachment) slot.pose.setAttachment(attachment); + break; + } + } + } + slotIndex++; + } + } + }; + + // spine-core/src/SlotData.ts + var SlotData = class extends PosedData { + /** The index of the slot in {@link Skeleton.slots}. */ + index = 0; + /** The bone this slot belongs to. */ + boneData; + /** The name of the attachment that is visible for this slot in the setup pose, or null if no attachment is visible. */ + attachmentName = null; + /** The blend mode for drawing the slot's attachment. */ + blendMode = 0 /* Normal */; + // Nonessential. + /** False if the slot was hidden in Spine and nonessential data was exported. Does not affect runtime rendering. */ + visible = true; + constructor(index, name, boneData) { + super(name, new SlotPose()); + if (index < 0) throw new Error("index must be >= 0."); + if (!boneData) throw new Error("boneData cannot be null."); + this.index = index; + this.boneData = boneData; + } + }; + var BlendMode = /* @__PURE__ */ ((BlendMode2) => { + BlendMode2[BlendMode2["Normal"] = 0] = "Normal"; + BlendMode2[BlendMode2["Additive"] = 1] = "Additive"; + BlendMode2[BlendMode2["Multiply"] = 2] = "Multiply"; + BlendMode2[BlendMode2["Screen"] = 3] = "Screen"; + return BlendMode2; + })(BlendMode || {}); + + // spine-core/src/TransformConstraintPose.ts + var TransformConstraintPose = class { + /** A percentage (unbounded) that controls the mix between the constrained and unconstrained rotation. */ + mixRotate = 0; + /** A percentage (unbounded) that controls the mix between the constrained and unconstrained translation X. */ + mixX = 0; + /** A percentage (unbounded) that controls the mix between the constrained and unconstrained translation Y. */ + mixY = 0; + /** A percentage (unbounded) that controls the mix between the constrained and unconstrained scale X. */ + mixScaleX = 0; + /** A percentage (unbounded) that controls the mix between the constrained and unconstrained scale Y. */ + mixScaleY = 0; + /** A percentage (unbounded) that controls the mix between the constrained and unconstrained shear Y. */ + mixShearY = 0; + set(pose) { + this.mixRotate = pose.mixRotate; + this.mixX = pose.mixX; + this.mixY = pose.mixY; + this.mixScaleX = pose.mixScaleX; + this.mixScaleY = pose.mixScaleY; + this.mixShearY = pose.mixShearY; + } + }; + + // spine-core/src/TransformConstraint.ts + var TransformConstraint = class _TransformConstraint extends Constraint { + /** The bones that will be modified by this transform constraint. */ + bones; + /** The bone whose world transform will be copied to the constrained bones. */ + source; + constructor(data, skeleton) { + super(data, new TransformConstraintPose(), new TransformConstraintPose()); + if (!skeleton) throw new Error("skeleton cannot be null."); + this.bones = []; + for (const boneData of data.bones) + this.bones.push(skeleton.bones[boneData.index].constrainedPose); + const source = skeleton.bones[data.source.index]; + if (source == null) throw new Error("source cannot be null."); + this.source = source; + } + copy(skeleton) { + var copy = new _TransformConstraint(this.data, skeleton); + copy.pose.set(this.pose); + return copy; + } + update(skeleton, physics) { + const p = this.appliedPose; + if (p.mixRotate === 0 && p.mixX === 0 && p.mixY === 0 && p.mixScaleX === 0 && p.mixScaleY === 0 && p.mixShearY === 0) return; + const data = this.data; + const localSource = data.localSource, localTarget = data.localTarget, additive = data.additive, clamp = data.clamp; + const offsets = data.offsets; + const source = this.source.appliedPose; + if (localSource) source.validateLocalTransform(skeleton); + const fromItems = data.properties; + const fn = data.properties.length; + const bones = this.bones; + for (let i = 0, n = this.bones.length; i < n; i++) { + const bone = bones[i]; + if (localTarget) + bone.modifyLocal(skeleton); + else + bone.modifyWorld(skeleton); + for (let f = 0; f < fn; f++) { + const from = fromItems[f]; + const value = from.value(skeleton, source, localSource, offsets) - from.offset; + const toItems = from.to; + for (let t = 0, tn = from.to.length; t < tn; t++) { + const to = toItems[t]; + if (to.mix(p) !== 0) { + let clamped = to.offset + value * to.scale; + if (clamp) { + if (to.offset < to.max) + clamped = MathUtils.clamp(clamped, to.offset, to.max); + else + clamped = MathUtils.clamp(clamped, to.max, to.offset); + } + to.apply(skeleton, p, bone, clamped, localTarget, additive); + } + } + } + } + } + sort(skeleton) { + if (!this.data.localSource) skeleton.sortBone(this.source); + const bones = this.bones; + const boneCount = this.bones.length; + const worldTarget = !this.data.localTarget; + if (worldTarget) { + for (let i = 0; i < boneCount; i++) + skeleton.sortBone(bones[i].bone); + } + skeleton._updateCache.push(this); + for (let i = 0; i < boneCount; i++) { + const bone = bones[i].bone; + skeleton.sortReset(bone.children); + skeleton.constrained(bone); + } + for (let i = 0; i < boneCount; i++) + bones[i].bone.sorted = worldTarget; + } + isSourceActive() { + return this.source.active; + } + }; + + // spine-core/src/TransformConstraintData.ts + var TransformConstraintData = class _TransformConstraintData extends ConstraintData { + static ROTATION = 0; + static X = 1; + static Y = 2; + static SCALEX = 3; + static SCALEY = 4; + static SHEARY = 5; + /** The bones that will be modified by this transform constraint. */ + bones = []; + /** The bone whose world transform will be copied to the constrained bones. */ + set source(source) { + this._source = source; + } + get source() { + if (!this._source) throw new Error("BoneData not set."); + else return this._source; + } + _source = null; + offsets = [0, 0, 0, 0, 0, 0]; + /** An offset added to the constrained bone X translation. */ + offsetX = 0; + /** An offset added to the constrained bone Y translation. */ + offsetY = 0; + /** Reads the source bone's local transform instead of its world transform. */ + localSource = false; + /** Sets the constrained bones' local transforms instead of their world transforms. */ + localTarget = false; + /** Adds the source bone transform to the constrained bones instead of setting it absolutely. */ + additive = false; + /** Prevents constrained bones from exceeding the ranged defined by {@link ToProperty.offset} and {@link ToProperty.max}. */ + clamp = false; + /** The mapping of transform properties to other transform properties. */ + properties = []; + constructor(name) { + super(name, new TransformConstraintPose()); + } + create(skeleton) { + return new TransformConstraint(this, skeleton); + } + /** An offset added to the constrained bone rotation. */ + getOffsetRotation() { + return this.offsets[_TransformConstraintData.ROTATION]; + } + setOffsetRotation(offsetRotation) { + this.offsets[_TransformConstraintData.ROTATION] = offsetRotation; + } + /** An offset added to the constrained bone X translation. */ + getOffsetX() { + return this.offsets[_TransformConstraintData.X]; + } + setOffsetX(offsetX) { + this.offsets[_TransformConstraintData.X] = offsetX; + } + /** An offset added to the constrained bone Y translation. */ + getOffsetY() { + return this.offsets[_TransformConstraintData.Y]; + } + setOffsetY(offsetY) { + this.offsets[_TransformConstraintData.Y] = offsetY; + } + /** An offset added to the constrained bone scaleX. */ + getOffsetScaleX() { + return this.offsets[_TransformConstraintData.SCALEX]; + } + setOffsetScaleX(offsetScaleX) { + this.offsets[_TransformConstraintData.SCALEX] = offsetScaleX; + } + /** An offset added to the constrained bone scaleY. */ + getOffsetScaleY() { + return this.offsets[_TransformConstraintData.SCALEY]; + } + setOffsetScaleY(offsetScaleY) { + this.offsets[_TransformConstraintData.SCALEY] = offsetScaleY; + } + /** An offset added to the constrained bone shearY. */ + getOffsetShearY() { + return this.offsets[_TransformConstraintData.SHEARY]; + } + setOffsetShearY(offsetShearY) { + this.offsets[_TransformConstraintData.SHEARY] = offsetShearY; + } + }; + var FromProperty = class { + /** The value of this property that corresponds to {@link ToProperty.offset}. */ + offset = 0; + /** Constrained properties. */ + to = []; + }; + var ToProperty = class { + /** The value of this property that corresponds to {@link FromProperty.offset}. */ + offset = 0; + /** The maximum value of this property when {@link TransformConstraintData.clamp clamped}. */ + max = 0; + /** The scale of the {@link FromProperty} value in relation to this property. */ + scale = 0; + }; + var FromRotate = class extends FromProperty { + value(skeleton, source, local, offsets) { + if (local) return source.rotation + offsets[TransformConstraintData.ROTATION]; + const sx = skeleton.scaleX, sy = skeleton.scaleY; + let value = Math.atan2(source.c / sy, source.a / sx) * MathUtils.radDeg + ((source.a * source.d - source.b * source.c) * sx * sy > 0 ? offsets[TransformConstraintData.ROTATION] : -offsets[TransformConstraintData.ROTATION]); + if (value < 0) value += 360; + return value; + } + }; + var ToRotate = class extends ToProperty { + mix(pose) { + return pose.mixRotate; + } + apply(skeleton, pose, bone, value, local, additive) { + if (local) + bone.rotation += (additive ? value : value - bone.rotation) * pose.mixRotate; + else { + const sx = skeleton.scaleX, sy = skeleton.scaleY, ix = 1 / sx, iy = 1 / sy; + const a = bone.a * ix, b = bone.b * ix, c = bone.c * iy, d = bone.d * iy; + value *= MathUtils.degRad; + if (!additive) value -= Math.atan2(c, a); + if (value > MathUtils.PI) + value -= MathUtils.PI2; + else if (value < -MathUtils.PI) + value += MathUtils.PI2; + value *= pose.mixRotate; + const cos = Math.cos(value), sin = Math.sin(value); + bone.a = (cos * a - sin * c) * sx; + bone.b = (cos * b - sin * d) * sx; + bone.c = (sin * a + cos * c) * sy; + bone.d = (sin * b + cos * d) * sy; + } + } + }; + var FromX = class extends FromProperty { + value(skeleton, source, local, offsets) { + return local ? source.x + offsets[TransformConstraintData.X] : (offsets[TransformConstraintData.X] * source.a + offsets[TransformConstraintData.Y] * source.b + source.worldX) / skeleton.scaleX; + } + }; + var ToX = class extends ToProperty { + mix(pose) { + return pose.mixX; + } + apply(skeleton, pose, bone, value, local, additive) { + if (local) + bone.x += (additive ? value : value - bone.x) * pose.mixX; + else { + if (!additive) value -= bone.worldX / skeleton.scaleX; + bone.worldX += value * pose.mixX * skeleton.scaleX; + } + } + }; + var FromY = class extends FromProperty { + value(skeleton, source, local, offsets) { + return local ? source.y + offsets[TransformConstraintData.Y] : (offsets[TransformConstraintData.X] * source.c + offsets[TransformConstraintData.Y] * source.d + source.worldY) / skeleton.scaleY; + } + }; + var ToY = class extends ToProperty { + mix(pose) { + return pose.mixY; + } + apply(skeleton, pose, bone, value, local, additive) { + if (local) + bone.y += (additive ? value : value - bone.y) * pose.mixY; + else { + if (!additive) value -= bone.worldY / skeleton.scaleY; + bone.worldY += value * pose.mixY * skeleton.scaleY; + } + } + }; + var FromScaleX = class extends FromProperty { + value(skeleton, source, local, offsets) { + if (local) return source.scaleX + offsets[TransformConstraintData.SCALEX]; + const a = source.a / skeleton.scaleX, c = source.c / skeleton.scaleY; + return Math.sqrt(a * a + c * c) + offsets[TransformConstraintData.SCALEX]; + } + }; + var ToScaleX = class extends ToProperty { + mix(pose) { + return pose.mixScaleX; + } + apply(skeleton, pose, bone, value, local, additive) { + if (local) { + if (additive) + bone.scaleX *= 1 + (value - 1) * pose.mixScaleX; + else if (bone.scaleX !== 0) + bone.scaleX += (value - bone.scaleX) * pose.mixScaleX; + } else if (additive) { + const s = 1 + (value - 1) * pose.mixScaleX; + bone.a *= s; + bone.c *= s; + } else { + let a = bone.a / skeleton.scaleX, c = bone.c / skeleton.scaleY, s = Math.sqrt(a * a + c * c); + if (s !== 0) { + s = 1 + (value - s) * pose.mixScaleX / s; + bone.a *= s; + bone.c *= s; + } + } + } + }; + var FromScaleY = class extends FromProperty { + value(skeleton, source, local, offsets) { + if (local) return source.scaleY + offsets[TransformConstraintData.SCALEY]; + const b = source.b / skeleton.scaleX, d = source.d / skeleton.scaleY; + return Math.sqrt(b * b + d * d) + offsets[TransformConstraintData.SCALEY]; + } + }; + var ToScaleY = class extends ToProperty { + mix(pose) { + return pose.mixScaleY; + } + apply(skeleton, pose, bone, value, local, additive) { + if (local) { + if (additive) + bone.scaleY *= 1 + (value - 1) * pose.mixScaleY; + else if (bone.scaleY !== 0) + bone.scaleY += (value - bone.scaleY) * pose.mixScaleY; + } else if (additive) { + const s = 1 + (value - 1) * pose.mixScaleY; + bone.b *= s; + bone.d *= s; + } else { + let b = bone.b / skeleton.scaleX, d = bone.d / skeleton.scaleY, s = Math.sqrt(b * b + d * d); + if (s !== 0) { + s = 1 + (value - s) * pose.mixScaleY / s; + bone.b *= s; + bone.d *= s; + } + } + } + }; + var FromShearY = class extends FromProperty { + value(skeleton, source, local, offsets) { + if (local) return source.shearY + offsets[TransformConstraintData.SHEARY]; + const ix = 1 / skeleton.scaleX, iy = 1 / skeleton.scaleY; + return (Math.atan2(source.d * iy, source.b * ix) - Math.atan2(source.c * iy, source.a * ix)) * MathUtils.radDeg - 90 + offsets[TransformConstraintData.SHEARY]; + } + }; + var ToShearY = class extends ToProperty { + mix(pose) { + return pose.mixShearY; + } + apply(skeleton, pose, bone, value, local, additive) { + if (local) { + if (!additive) value -= bone.shearY; + bone.shearY += value * pose.mixShearY; + } else { + const sx = skeleton.scaleX, sy = skeleton.scaleY, b = bone.b / sx, d = bone.d / sy, by = Math.atan2(d, b); + value = (value + 90) * MathUtils.degRad; + if (additive) + value -= MathUtils.PI / 2; + else { + value -= by - Math.atan2(bone.c / sy, bone.a / sx); + if (value > MathUtils.PI) + value -= MathUtils.PI2; + else if (value < -MathUtils.PI) + value += MathUtils.PI2; + } + value = by + value * pose.mixShearY; + const s = Math.sqrt(b * b + d * d); + bone.b = Math.cos(value) * s * sx; + bone.d = Math.sin(value) * s * sy; + } + } + }; + + // spine-core/src/SkeletonBinary.ts + var SkeletonBinary = class { + /** Scales bone positions, image sizes, and translations as they are loaded. This allows different size images to be used at + * runtime than were used in Spine. + * + * See [Scaling](http://esotericsoftware.com/spine-loading-skeleton-data#Scaling) in the Spine Runtimes Guide. */ + scale = 1; + attachmentLoader; + linkedMeshes = []; + constructor(attachmentLoader) { + this.attachmentLoader = attachmentLoader; + } + readSkeletonData(binary) { + const scale = this.scale; + const skeletonData = new SkeletonData(); + skeletonData.name = ""; + const input = new BinaryInput(binary); + const lowHash = input.readInt32(); + const highHash = input.readInt32(); + skeletonData.hash = highHash === 0 && lowHash === 0 ? null : highHash.toString(16) + lowHash.toString(16); + skeletonData.version = input.readString(); + skeletonData.x = input.readFloat(); + skeletonData.y = input.readFloat(); + skeletonData.width = input.readFloat(); + skeletonData.height = input.readFloat(); + skeletonData.referenceScale = input.readFloat() * scale; + const nonessential = input.readBoolean(); + if (nonessential) { + skeletonData.fps = input.readFloat(); + skeletonData.imagesPath = input.readString(); + skeletonData.audioPath = input.readString(); + } + let n = 0; + n = input.readInt(true); + for (let i = 0; i < n; i++) { + const str = input.readString(); + if (!str) throw new Error("String in string table must not be null."); + input.strings.push(str); + } + const bones = skeletonData.bones; + n = input.readInt(true); + for (let i = 0; i < n; i++) { + const name = input.readString(); + if (!name) throw new Error("Bone name must not be null."); + const parent = i === 0 ? null : bones[input.readInt(true)]; + const data = new BoneData(i, name, parent); + const setup = data.setupPose; + setup.rotation = input.readFloat(); + setup.x = input.readFloat() * scale; + setup.y = input.readFloat() * scale; + setup.scaleX = input.readFloat(); + setup.scaleY = input.readFloat(); + setup.shearX = input.readFloat(); + setup.shearY = input.readFloat(); + setup.inherit = input.readByte(); + data.length = input.readFloat() * scale; + data.skinRequired = input.readBoolean(); + if (nonessential) { + Color.rgba8888ToColor(data.color, input.readInt32()); + data.icon = input.readString() ?? void 0; + data.iconSize = input.readFloat(); + data.iconRotation = input.readFloat(); + data.visible = input.readBoolean(); + } + bones.push(data); + } + n = input.readInt(true); + for (let i = 0; i < n; i++) { + const slotName = input.readString(); + if (!slotName) throw new Error("Slot name must not be null."); + const boneData = bones[input.readInt(true)]; + const data = new SlotData(i, slotName, boneData); + Color.rgba8888ToColor(data.setupPose.color, input.readInt32()); + const darkColor = input.readInt32(); + if (darkColor !== -1) Color.rgb888ToColor(data.setupPose.darkColor = new Color(), darkColor); + data.attachmentName = input.readStringRef(); + data.blendMode = input.readInt(true); + if (nonessential) data.visible = input.readBoolean(); + skeletonData.slots.push(data); + } + const constraints = skeletonData.constraints; + const constraintCount = input.readInt(true); + for (let i = 0; i < constraintCount; i++) { + const name = input.readString(); + if (!name) throw new Error("Constraint data name must not be null."); + let nn; + switch (input.readByte()) { + case CONSTRAINT_IK: { + const data = new IkConstraintData(name); + nn = input.readInt(true); + for (let ii = 0; ii < nn; ii++) + data.bones.push(bones[input.readInt(true)]); + data.target = bones[input.readInt(true)]; + const flags = input.readByte(); + data.skinRequired = (flags & 1) !== 0; + if ((flags & 2) !== 0) data.scaleYMode = input.readUnsignedByte(); + const setup = data.setupPose; + setup.bendDirection = (flags & 4) !== 0 ? -1 : 1; + setup.compress = (flags & 8) !== 0; + setup.stretch = (flags & 16) !== 0; + if ((flags & 32) !== 0) setup.mix = (flags & 64) !== 0 ? input.readFloat() : 1; + if ((flags & 128) !== 0) setup.softness = input.readFloat() * scale; + constraints.push(data); + break; + } + case CONSTRAINT_TRANSFORM: { + const data = new TransformConstraintData(name); + nn = input.readInt(true); + for (let ii = 0; ii < nn; ii++) + data.bones.push(bones[input.readInt(true)]); + data.source = bones[input.readInt(true)]; + let flags = input.readUnsignedByte(); + data.skinRequired = (flags & 1) !== 0; + data.localSource = (flags & 2) !== 0; + data.localTarget = (flags & 4) !== 0; + data.additive = (flags & 8) !== 0; + data.clamp = (flags & 16) !== 0; + nn = flags >> 5; + for (let ii = 0, tn; ii < nn; ii++) { + let fromScale = 1; + let from; + switch (input.readByte()) { + case 0: + from = new FromRotate(); + break; + case 1: { + fromScale = scale; + from = new FromX(); + break; + } + case 2: { + fromScale = scale; + from = new FromY(); + break; + } + case 3: + from = new FromScaleX(); + break; + case 4: + from = new FromScaleY(); + break; + case 5: + from = new FromShearY(); + break; + default: + from = null; + } + if (!from) continue; + from.offset = input.readFloat() * fromScale; + tn = input.readByte(); + for (let t = 0; t < tn; t++) { + let toScale = 1; + let to; + switch (input.readByte()) { + case 0: + to = new ToRotate(); + break; + case 1: { + toScale = scale; + to = new ToX(); + break; + } + case 2: { + toScale = scale; + to = new ToY(); + break; + } + case 3: + to = new ToScaleX(); + break; + case 4: + to = new ToScaleY(); + break; + case 5: + to = new ToShearY(); + break; + default: + to = null; + } + if (!to) continue; + to.offset = input.readFloat() * toScale; + to.max = input.readFloat() * toScale; + to.scale = input.readFloat() * toScale / fromScale; + from.to[t] = to; + } + data.properties[ii] = from; + } + flags = input.readByte(); + if ((flags & 1) !== 0) data.offsets[TransformConstraintData.ROTATION] = input.readFloat(); + if ((flags & 2) !== 0) data.offsets[TransformConstraintData.X] = input.readFloat() * scale; + if ((flags & 4) !== 0) data.offsets[TransformConstraintData.Y] = input.readFloat() * scale; + if ((flags & 8) !== 0) data.offsets[TransformConstraintData.SCALEX] = input.readFloat(); + if ((flags & 16) !== 0) data.offsets[TransformConstraintData.SCALEY] = input.readFloat(); + if ((flags & 32) !== 0) data.offsets[TransformConstraintData.SHEARY] = input.readFloat(); + flags = input.readByte(); + const setup = data.setupPose; + if ((flags & 1) !== 0) setup.mixRotate = input.readFloat(); + if ((flags & 2) !== 0) setup.mixX = input.readFloat(); + if ((flags & 4) !== 0) setup.mixY = input.readFloat(); + if ((flags & 8) !== 0) setup.mixScaleX = input.readFloat(); + if ((flags & 16) !== 0) setup.mixScaleY = input.readFloat(); + if ((flags & 32) !== 0) setup.mixShearY = input.readFloat(); + constraints.push(data); + break; + } + case CONSTRAINT_PATH: { + const data = new PathConstraintData(name); + nn = input.readInt(true); + for (let ii = 0; ii < nn; ii++) + data.bones.push(bones[input.readInt(true)]); + data.slot = skeletonData.slots[input.readInt(true)]; + const flags = input.readByte(); + data.skinRequired = (flags & 1) !== 0; + data.positionMode = flags >> 1 & 1; + data.spacingMode = flags >> 2 & 3; + data.rotateMode = flags >> 4 & 3; + if ((flags & 128) !== 0) data.offsetRotation = input.readFloat(); + const setup = data.setupPose; + setup.position = input.readFloat(); + if (data.positionMode === 0 /* Fixed */) setup.position *= scale; + setup.spacing = input.readFloat(); + if (data.spacingMode === 0 /* Length */ || data.spacingMode === 1 /* Fixed */) setup.spacing *= scale; + setup.mixRotate = input.readFloat(); + setup.mixX = input.readFloat(); + setup.mixY = input.readFloat(); + constraints.push(data); + break; + } + case CONSTRAINT_PHYSICS: { + const data = new PhysicsConstraintData(name); + data.bone = bones[input.readInt(true)]; + let flags = input.readByte(); + data.skinRequired = (flags & 1) !== 0; + if ((flags & 2) !== 0) data.x = input.readFloat(); + if ((flags & 4) !== 0) data.y = input.readFloat(); + if ((flags & 8) !== 0) data.rotate = input.readFloat(); + if ((flags & 16) !== 0) { + let scaleX = input.readFloat(); + if (scaleX < -2) { + data.scaleYMode = 2 /* Volume */; + scaleX = -2 - scaleX; + } else if (scaleX < 0) { + data.scaleYMode = 1 /* Uniform */; + scaleX = -1 - scaleX; + } + data.scaleX = scaleX; + } + if ((flags & 32) !== 0) data.shearX = input.readFloat(); + data.limit = ((flags & 64) !== 0 ? input.readFloat() : 5e3) * scale; + data.step = 1 / input.readUnsignedByte(); + const setup = data.setupPose; + setup.inertia = input.readFloat(); + setup.strength = input.readFloat(); + setup.damping = input.readFloat(); + setup.massInverse = (flags & 128) !== 0 ? input.readFloat() : 1; + setup.wind = input.readFloat(); + setup.gravity = input.readFloat(); + flags = input.readByte(); + if ((flags & 1) !== 0) data.inertiaGlobal = true; + if ((flags & 2) !== 0) data.strengthGlobal = true; + if ((flags & 4) !== 0) data.dampingGlobal = true; + if ((flags & 8) !== 0) data.massGlobal = true; + if ((flags & 16) !== 0) data.windGlobal = true; + if ((flags & 32) !== 0) data.gravityGlobal = true; + if ((flags & 64) !== 0) data.mixGlobal = true; + setup.mix = (flags & 128) !== 0 ? input.readFloat() : 1; + constraints.push(data); + break; + } + case CONSTRAINT_SLIDER: { + const data = new SliderData(name); + const flags = input.readByte(); + data.skinRequired = (flags & 1) !== 0; + data.loop = (flags & 2) !== 0; + data.additive = (flags & 4) !== 0; + if ((flags & 8) !== 0) { + const value = input.readFloat(); + if (nonessential && (flags & 64) !== 0) + data.max = value; + else + data.setupPose.time = value; + } + if ((flags & 16) !== 0) data.setupPose.mix = (flags & 32) !== 0 ? input.readFloat() : 1; + if ((flags & 64) !== 0) { + data.local = (flags & 128) !== 0; + data.bone = bones[input.readInt(true)]; + const offset = input.readFloat(); + let propertyScale = 1; + switch (input.readByte()) { + case 0: + data.property = new FromRotate(); + break; + case 1: { + propertyScale = scale; + data.property = new FromX(); + break; + } + case 2: { + propertyScale = scale; + data.property = new FromY(); + break; + } + case 3: + data.property = new FromScaleX(); + break; + case 4: + data.property = new FromScaleY(); + break; + case 5: + data.property = new FromShearY(); + break; + default: + continue; + } + ; + data.property.offset = offset * propertyScale; + data.offset = input.readFloat(); + data.scale = input.readFloat() / propertyScale; + } + constraints.push(data); + break; + } + } + } + const defaultSkin = this.readSkin(input, skeletonData, true, nonessential); + if (defaultSkin) { + skeletonData.defaultSkin = defaultSkin; + skeletonData.skins.push(defaultSkin); + } + { + let i = skeletonData.skins.length; + Utils.setArraySize(skeletonData.skins, n = i + input.readInt(true)); + for (; i < n; i++) { + const skin = this.readSkin(input, skeletonData, false, nonessential); + if (!skin) throw new Error("readSkin() should not have returned null."); + skeletonData.skins[i] = skin; + } + } + n = this.linkedMeshes.length; + for (let i = 0; i < n; i++) { + const linkedMesh = this.linkedMeshes[i]; + const skin = skeletonData.skins[linkedMesh.skinIndex]; + if (!linkedMesh.source) throw new Error("Linked mesh parent must not be null"); + const source = skin.getAttachment(linkedMesh.sourceIndex, linkedMesh.source); + if (!source) throw new Error(`Source mesh not found: ${linkedMesh.source}`); + linkedMesh.mesh.timelineAttachment = linkedMesh.inheritTimelines ? source : linkedMesh.mesh; + linkedMesh.mesh.setSourceMesh(source); + linkedMesh.mesh.updateSequence(); + } + this.linkedMeshes.length = 0; + n = input.readInt(true); + for (let i = 0; i < n; i++) { + const eventName = input.readString(); + if (!eventName) throw new Error("Event data name must not be null"); + const data = new EventData(eventName); + const setup = data.setupPose; + setup.intValue = input.readInt(false); + setup.floatValue = input.readFloat(); + setup.stringValue = input.readString(); + data._audioPath = input.readString(); + if (data.audioPath) { + setup.volume = input.readFloat(); + setup.balance = input.readFloat(); + } + skeletonData.events.push(data); + } + const animations = skeletonData.animations; + n = input.readInt(true); + for (let i = 0; i < n; i++) { + const animationName = input.readString(); + if (!animationName) throw new Error("Animation name must not be null."); + animations.push(this.readAnimation(input, animationName, skeletonData, nonessential)); + } + for (let i = 0; i < constraintCount; i++) { + const constraint = constraints[i]; + if (constraint instanceof SliderData) constraint.animation = animations[input.readInt(true)]; + } + return skeletonData; + } + readSkin(input, skeletonData, defaultSkin, nonessential) { + let skin = null; + let slotCount = 0; + if (defaultSkin) { + slotCount = input.readInt(true); + if (slotCount === 0) return null; + skin = new Skin("default"); + } else { + const skinName = input.readString(); + if (!skinName) throw new Error("Skin name must not be null."); + skin = new Skin(skinName); + if (nonessential) Color.rgba8888ToColor(skin.color, input.readInt32()); + let n = input.readInt(true); + let from = skeletonData.bones, to = skin.bones; + for (let i = 0; i < n; i++) + to[i] = from[input.readInt(true)]; + n = input.readInt(true); + from = skeletonData.constraints; + to = skin.constraints; + for (let i = 0; i < n; i++) + to[i] = from[input.readInt(true)]; + slotCount = input.readInt(true); + } + for (let i = 0; i < slotCount; i++) { + const slotIndex = input.readInt(true); + for (let ii = 0, nn = input.readInt(true); ii < nn; ii++) { + const placeholder = input.readStringRef(); + if (!placeholder) + throw new Error("Attachment name must not be null"); + const attachment = this.readAttachment(input, skeletonData, skin, slotIndex, placeholder, nonessential); + if (attachment) skin.setAttachment(slotIndex, placeholder, attachment); + } + } + return skin; + } + readAttachment(input, skeletonData, skin, slotIndex, placeholder, nonessential) { + const scale = this.scale; + const flags = input.readByte(); + const name = (flags & 8) !== 0 ? input.readStringRef() : placeholder; + if (!name) throw new Error("Attachment name must not be null"); + switch (flags & 7) { + // BUG? + case 0 /* Region */: { + let path = (flags & 16) !== 0 ? input.readStringRef() : null; + const color = (flags & 32) !== 0 ? input.readInt32() : 4294967295; + const sequence = this.readSequence(input, (flags & 64) !== 0); + const rotation = (flags & 128) !== 0 ? input.readFloat() : 0; + const x = input.readFloat(); + const y = input.readFloat(); + const scaleX = input.readFloat(); + const scaleY = input.readFloat(); + const width = input.readFloat(); + const height = input.readFloat(); + if (!path) path = name; + const region = this.attachmentLoader.newRegionAttachment(skin, placeholder, name, path, sequence); + if (!region) return null; + region.path = path; + region.x = x * scale; + region.y = y * scale; + region.scaleX = scaleX; + region.scaleY = scaleY; + region.rotation = rotation; + region.width = width * scale; + region.height = height * scale; + Color.rgba8888ToColor(region.color, color); + region.updateSequence(); + return region; + } + case 1 /* BoundingBox */: { + const vertices = this.readVertices(input, (flags & 16) !== 0); + const color = nonessential ? input.readInt32() : 0; + const box = this.attachmentLoader.newBoundingBoxAttachment(skin, placeholder, name); + if (!box) return null; + box.worldVerticesLength = vertices.length; + box.vertices = vertices.vertices; + box.bones = vertices.bones; + if (nonessential) Color.rgba8888ToColor(box.color, color); + return box; + } + case 2 /* Mesh */: { + let path = (flags & 16) !== 0 ? input.readStringRef() : name; + const color = (flags & 32) !== 0 ? input.readInt32() : 4294967295; + const sequence = this.readSequence(input, (flags & 64) !== 0); + const hullLength = input.readInt(true); + const vertices = this.readVertices(input, (flags & 128) !== 0); + const uvs = this.readFloatArray(input, vertices.length, 1); + const triangles = this.readShortArray(input, (vertices.length - hullLength - 2) * 3); + const slotCount = input.readInt(true); + let timelineSlots = null; + if (slotCount > 0) { + timelineSlots = []; + for (let i = 0; i < slotCount; i++) + timelineSlots[i] = input.readInt(true); + } + let edges = []; + let width = 0, height = 0; + if (nonessential) { + edges = this.readShortArray(input, input.readInt(true)); + width = input.readFloat(); + height = input.readFloat(); + } + if (!path) path = name; + const mesh = this.attachmentLoader.newMeshAttachment(skin, placeholder, name, path, sequence); + if (!mesh) return null; + mesh.path = path; + Color.rgba8888ToColor(mesh.color, color); + mesh.hullLength = hullLength << 1; + mesh.bones = vertices.bones; + mesh.vertices = vertices.vertices; + mesh.worldVerticesLength = vertices.length; + mesh.regionUVs = uvs; + mesh.triangles = triangles; + if (timelineSlots) mesh.timelineSlots = timelineSlots; + if (nonessential) { + mesh.edges = edges; + mesh.width = width * scale; + mesh.height = height * scale; + } + mesh.updateSequence(); + return mesh; + } + case 3 /* LinkedMesh */: { + const path = (flags & 16) !== 0 ? input.readStringRef() : name; + if (path == null) throw new Error("Path of linked mesh must not be null"); + const color = (flags & 32) !== 0 ? input.readInt32() : 4294967295; + const sequence = this.readSequence(input, (flags & 64) !== 0); + const inheritTimelines = (flags & 128) !== 0; + const sourceIndex = input.readInt(true); + const skinIndex = input.readInt(true); + const source = input.readStringRef(); + let width = 0, height = 0; + if (nonessential) { + width = input.readFloat(); + height = input.readFloat(); + } + const mesh = this.attachmentLoader.newMeshAttachment(skin, placeholder, name, path, sequence); + if (!mesh) return null; + mesh.path = path; + Color.rgba8888ToColor(mesh.color, color); + if (nonessential) { + mesh.width = width * scale; + mesh.height = height * scale; + } + this.linkedMeshes.push(new LinkedMesh(mesh, skinIndex, slotIndex, sourceIndex, source, inheritTimelines)); + return mesh; + } + case 4 /* Path */: { + const closed = (flags & 16) !== 0; + const constantSpeed = (flags & 32) !== 0; + const vertices = this.readVertices(input, (flags & 64) !== 0); + const lengths = this.readFloatArray(input, vertices.length / 6, scale); + const color = nonessential ? input.readInt32() : 0; + const path = this.attachmentLoader.newPathAttachment(skin, placeholder, name); + if (!path) return null; + path.closed = closed; + path.constantSpeed = constantSpeed; + path.worldVerticesLength = vertices.length; + path.vertices = vertices.vertices; + path.bones = vertices.bones; + path.lengths = lengths; + if (nonessential) Color.rgba8888ToColor(path.color, color); + return path; + } + case 5 /* Point */: { + const rotation = input.readFloat(); + const x = input.readFloat(); + const y = input.readFloat(); + const color = nonessential ? input.readInt32() : 0; + const point = this.attachmentLoader.newPointAttachment(skin, placeholder, name); + if (!point) return null; + point.x = x * scale; + point.y = y * scale; + point.rotation = rotation; + if (nonessential) Color.rgba8888ToColor(point.color, color); + return point; + } + case 6 /* Clipping */: { + const endSlotIndex = input.readInt(true); + const vertices = this.readVertices(input, (flags & 16) !== 0); + const color = nonessential ? input.readInt32() : 0; + const clip = this.attachmentLoader.newClippingAttachment(skin, placeholder, name); + if (!clip) return null; + clip.endSlot = skeletonData.slots[endSlotIndex]; + clip.convex = (flags & 32) !== 0; + clip.inverse = (flags & 64) !== 0; + clip.worldVerticesLength = vertices.length; + clip.vertices = vertices.vertices; + clip.bones = vertices.bones; + if (nonessential) Color.rgba8888ToColor(clip.color, color); + return clip; + } + } + } + readSequence(input, hasPathSuffix) { + if (!hasPathSuffix) return new Sequence(1, false); + const sequence = new Sequence(input.readInt(true), true); + sequence.start = input.readInt(true); + sequence.digits = input.readInt(true); + sequence.setupIndex = input.readInt(true); + return sequence; + } + readVertices(input, weighted) { + const scale = this.scale; + const vertexCount = input.readInt(true); + const length = vertexCount << 1; + if (!weighted) + return new Vertices(null, this.readFloatArray(input, length, scale), length); + const n = input.readInt(true); + const bones = []; + const weights = []; + for (let b = 0, w = 0; b < n; ) { + const boneCount = input.readInt(true); + bones[b++] = boneCount; + for (let ii = 0; ii < boneCount; ii++, w += 3) { + bones[b++] = input.readInt(true); + weights[w] = input.readFloat() * scale; + weights[w + 1] = input.readFloat() * scale; + weights[w + 2] = input.readFloat(); + } + } + return new Vertices(bones, Utils.toFloatArray(weights), length); + } + readFloatArray(input, n, scale) { + const array = []; + if (scale === 1) { + for (let i = 0; i < n; i++) + array[i] = input.readFloat(); + } else { + for (let i = 0; i < n; i++) + array[i] = input.readFloat() * scale; + } + return array; + } + readShortArray(input, n) { + const array = []; + for (let i = 0; i < n; i++) + array[i] = input.readInt(true); + return array; + } + readAnimation(input, name, skeletonData, nonessential) { + input.readInt(true); + const timelines = []; + const scale = this.scale; + for (let i = 0, n = input.readInt(true); i < n; i++) { + const slotIndex = input.readInt(true); + for (let ii = 0, nn = input.readInt(true); ii < nn; ii++) { + const timelineType = input.readByte(); + const frameCount = input.readInt(true); + const frameLast = frameCount - 1; + switch (timelineType) { + case SLOT_ATTACHMENT: { + const timeline = new AttachmentTimeline(frameCount, slotIndex); + for (let frame = 0; frame < frameCount; frame++) + timeline.setFrame(frame, input.readFloat(), input.readStringRef()); + timelines.push(timeline); + break; + } + case SLOT_RGBA: { + const bezierCount = input.readInt(true); + const timeline = new RGBATimeline(frameCount, bezierCount, slotIndex); + let time = input.readFloat(); + let r = input.readUnsignedByte() / 255; + let g = input.readUnsignedByte() / 255; + let b = input.readUnsignedByte() / 255; + let a = input.readUnsignedByte() / 255; + for (let frame = 0, bezier = 0; ; frame++) { + timeline.setFrame(frame, time, r, g, b, a); + if (frame === frameLast) break; + const time2 = input.readFloat(); + const r2 = input.readUnsignedByte() / 255; + const g2 = input.readUnsignedByte() / 255; + const b2 = input.readUnsignedByte() / 255; + const a2 = input.readUnsignedByte() / 255; + switch (input.readByte()) { + case CURVE_STEPPED: + timeline.setStepped(frame); + break; + case CURVE_BEZIER: + setBezier(input, timeline, bezier++, frame, 0, time, time2, r, r2, 1); + setBezier(input, timeline, bezier++, frame, 1, time, time2, g, g2, 1); + setBezier(input, timeline, bezier++, frame, 2, time, time2, b, b2, 1); + setBezier(input, timeline, bezier++, frame, 3, time, time2, a, a2, 1); + } + time = time2; + r = r2; + g = g2; + b = b2; + a = a2; + } + timelines.push(timeline); + break; + } + case SLOT_RGB: { + const bezierCount = input.readInt(true); + const timeline = new RGBTimeline(frameCount, bezierCount, slotIndex); + let time = input.readFloat(); + let r = input.readUnsignedByte() / 255; + let g = input.readUnsignedByte() / 255; + let b = input.readUnsignedByte() / 255; + for (let frame = 0, bezier = 0; ; frame++) { + timeline.setFrame(frame, time, r, g, b); + if (frame === frameLast) break; + const time2 = input.readFloat(); + const r2 = input.readUnsignedByte() / 255; + const g2 = input.readUnsignedByte() / 255; + const b2 = input.readUnsignedByte() / 255; + switch (input.readByte()) { + case CURVE_STEPPED: + timeline.setStepped(frame); + break; + case CURVE_BEZIER: + setBezier(input, timeline, bezier++, frame, 0, time, time2, r, r2, 1); + setBezier(input, timeline, bezier++, frame, 1, time, time2, g, g2, 1); + setBezier(input, timeline, bezier++, frame, 2, time, time2, b, b2, 1); + } + time = time2; + r = r2; + g = g2; + b = b2; + } + timelines.push(timeline); + break; + } + case SLOT_RGBA2: { + const bezierCount = input.readInt(true); + const timeline = new RGBA2Timeline(frameCount, bezierCount, slotIndex); + let time = input.readFloat(); + let r = input.readUnsignedByte() / 255; + let g = input.readUnsignedByte() / 255; + let b = input.readUnsignedByte() / 255; + let a = input.readUnsignedByte() / 255; + let r2 = input.readUnsignedByte() / 255; + let g2 = input.readUnsignedByte() / 255; + let b2 = input.readUnsignedByte() / 255; + for (let frame = 0, bezier = 0; ; frame++) { + timeline.setFrame(frame, time, r, g, b, a, r2, g2, b2); + if (frame === frameLast) break; + const time2 = input.readFloat(); + const nr = input.readUnsignedByte() / 255; + const ng = input.readUnsignedByte() / 255; + const nb = input.readUnsignedByte() / 255; + const na = input.readUnsignedByte() / 255; + const nr2 = input.readUnsignedByte() / 255; + const ng2 = input.readUnsignedByte() / 255; + const nb2 = input.readUnsignedByte() / 255; + switch (input.readByte()) { + case CURVE_STEPPED: + timeline.setStepped(frame); + break; + case CURVE_BEZIER: + setBezier(input, timeline, bezier++, frame, 0, time, time2, r, nr, 1); + setBezier(input, timeline, bezier++, frame, 1, time, time2, g, ng, 1); + setBezier(input, timeline, bezier++, frame, 2, time, time2, b, nb, 1); + setBezier(input, timeline, bezier++, frame, 3, time, time2, a, na, 1); + setBezier(input, timeline, bezier++, frame, 4, time, time2, r2, nr2, 1); + setBezier(input, timeline, bezier++, frame, 5, time, time2, g2, ng2, 1); + setBezier(input, timeline, bezier++, frame, 6, time, time2, b2, nb2, 1); + } + time = time2; + r = nr; + g = ng; + b = nb; + a = na; + r2 = nr2; + g2 = ng2; + b2 = nb2; + } + timelines.push(timeline); + break; + } + case SLOT_RGB2: { + const bezierCount = input.readInt(true); + const timeline = new RGB2Timeline(frameCount, bezierCount, slotIndex); + let time = input.readFloat(); + let r = input.readUnsignedByte() / 255; + let g = input.readUnsignedByte() / 255; + let b = input.readUnsignedByte() / 255; + let r2 = input.readUnsignedByte() / 255; + let g2 = input.readUnsignedByte() / 255; + let b2 = input.readUnsignedByte() / 255; + for (let frame = 0, bezier = 0; ; frame++) { + timeline.setFrame(frame, time, r, g, b, r2, g2, b2); + if (frame === frameLast) break; + const time2 = input.readFloat(); + const nr = input.readUnsignedByte() / 255; + const ng = input.readUnsignedByte() / 255; + const nb = input.readUnsignedByte() / 255; + const nr2 = input.readUnsignedByte() / 255; + const ng2 = input.readUnsignedByte() / 255; + const nb2 = input.readUnsignedByte() / 255; + switch (input.readByte()) { + case CURVE_STEPPED: + timeline.setStepped(frame); + break; + case CURVE_BEZIER: + setBezier(input, timeline, bezier++, frame, 0, time, time2, r, nr, 1); + setBezier(input, timeline, bezier++, frame, 1, time, time2, g, ng, 1); + setBezier(input, timeline, bezier++, frame, 2, time, time2, b, nb, 1); + setBezier(input, timeline, bezier++, frame, 3, time, time2, r2, nr2, 1); + setBezier(input, timeline, bezier++, frame, 4, time, time2, g2, ng2, 1); + setBezier(input, timeline, bezier++, frame, 5, time, time2, b2, nb2, 1); + } + time = time2; + r = nr; + g = ng; + b = nb; + r2 = nr2; + g2 = ng2; + b2 = nb2; + } + timelines.push(timeline); + break; + } + case SLOT_ALPHA: { + const timeline = new AlphaTimeline(frameCount, input.readInt(true), slotIndex); + let time = input.readFloat(), a = input.readUnsignedByte() / 255; + for (let frame = 0, bezier = 0; ; frame++) { + timeline.setFrame(frame, time, a); + if (frame === frameLast) break; + const time2 = input.readFloat(); + const a2 = input.readUnsignedByte() / 255; + switch (input.readByte()) { + case CURVE_STEPPED: + timeline.setStepped(frame); + break; + case CURVE_BEZIER: + setBezier(input, timeline, bezier++, frame, 0, time, time2, a, a2, 1); + } + time = time2; + a = a2; + } + timelines.push(timeline); + } + } + } + } + for (let i = 0, n = input.readInt(true); i < n; i++) { + const boneIndex = input.readInt(true); + for (let ii = 0, nn = input.readInt(true); ii < nn; ii++) { + const type = input.readByte(), frameCount = input.readInt(true); + if (type === BONE_INHERIT) { + const timeline = new InheritTimeline(frameCount, boneIndex); + for (let frame = 0; frame < frameCount; frame++) { + timeline.setFrame(frame, input.readFloat(), input.readByte()); + } + timelines.push(timeline); + continue; + } + const bezierCount = input.readInt(true); + switch (type) { + case BONE_ROTATE: + readTimeline(input, timelines, new RotateTimeline(frameCount, bezierCount, boneIndex), 1); + break; + case BONE_TRANSLATE: + readTimeline(input, timelines, new TranslateTimeline(frameCount, bezierCount, boneIndex), scale); + break; + case BONE_TRANSLATEX: + readTimeline(input, timelines, new TranslateXTimeline(frameCount, bezierCount, boneIndex), scale); + break; + case BONE_TRANSLATEY: + readTimeline(input, timelines, new TranslateYTimeline(frameCount, bezierCount, boneIndex), scale); + break; + case BONE_SCALE: + readTimeline(input, timelines, new ScaleTimeline(frameCount, bezierCount, boneIndex), 1); + break; + case BONE_SCALEX: + readTimeline(input, timelines, new ScaleXTimeline(frameCount, bezierCount, boneIndex), 1); + break; + case BONE_SCALEY: + readTimeline(input, timelines, new ScaleYTimeline(frameCount, bezierCount, boneIndex), 1); + break; + case BONE_SHEAR: + readTimeline(input, timelines, new ShearTimeline(frameCount, bezierCount, boneIndex), 1); + break; + case BONE_SHEARX: + readTimeline(input, timelines, new ShearXTimeline(frameCount, bezierCount, boneIndex), 1); + break; + case BONE_SHEARY: + readTimeline(input, timelines, new ShearYTimeline(frameCount, bezierCount, boneIndex), 1); + break; + } + } + } + for (let i = 0, n = input.readInt(true); i < n; i++) { + const index = input.readInt(true), frameCount = input.readInt(true), frameLast = frameCount - 1; + const timeline = new IkConstraintTimeline(frameCount, input.readInt(true), index); + let flags = input.readByte(); + let time = input.readFloat(), mix = (flags & 1) !== 0 ? (flags & 2) !== 0 ? input.readFloat() : 1 : 0; + let softness = (flags & 4) !== 0 ? input.readFloat() * scale : 0; + for (let frame = 0, bezier = 0; ; frame++) { + timeline.setFrame(frame, time, mix, softness, (flags & 8) !== 0 ? 1 : -1, (flags & 16) !== 0, (flags & 32) !== 0); + if (frame === frameLast) break; + flags = input.readByte(); + const time2 = input.readFloat(), mix2 = (flags & 1) !== 0 ? (flags & 2) !== 0 ? input.readFloat() : 1 : 0; + const softness2 = (flags & 4) !== 0 ? input.readFloat() * scale : 0; + if ((flags & 64) !== 0) { + timeline.setStepped(frame); + } else if ((flags & 128) !== 0) { + setBezier(input, timeline, bezier++, frame, 0, time, time2, mix, mix2, 1); + setBezier(input, timeline, bezier++, frame, 1, time, time2, softness, softness2, scale); + } + time = time2; + mix = mix2; + softness = softness2; + } + timelines.push(timeline); + } + for (let i = 0, n = input.readInt(true); i < n; i++) { + const index = input.readInt(true), frameCount = input.readInt(true), frameLast = frameCount - 1; + const timeline = new TransformConstraintTimeline(frameCount, input.readInt(true), index); + let time = input.readFloat(), mixRotate = input.readFloat(), mixX = input.readFloat(), mixY = input.readFloat(), mixScaleX = input.readFloat(), mixScaleY = input.readFloat(), mixShearY = input.readFloat(); + for (let frame = 0, bezier = 0; ; frame++) { + timeline.setFrame(frame, time, mixRotate, mixX, mixY, mixScaleX, mixScaleY, mixShearY); + if (frame === frameLast) break; + const time2 = input.readFloat(), mixRotate2 = input.readFloat(), mixX2 = input.readFloat(), mixY2 = input.readFloat(), mixScaleX2 = input.readFloat(), mixScaleY2 = input.readFloat(), mixShearY2 = input.readFloat(); + switch (input.readByte()) { + case CURVE_STEPPED: + timeline.setStepped(frame); + break; + case CURVE_BEZIER: + setBezier(input, timeline, bezier++, frame, 0, time, time2, mixRotate, mixRotate2, 1); + setBezier(input, timeline, bezier++, frame, 1, time, time2, mixX, mixX2, 1); + setBezier(input, timeline, bezier++, frame, 2, time, time2, mixY, mixY2, 1); + setBezier(input, timeline, bezier++, frame, 3, time, time2, mixScaleX, mixScaleX2, 1); + setBezier(input, timeline, bezier++, frame, 4, time, time2, mixScaleY, mixScaleY2, 1); + setBezier(input, timeline, bezier++, frame, 5, time, time2, mixShearY, mixShearY2, 1); + } + time = time2; + mixRotate = mixRotate2; + mixX = mixX2; + mixY = mixY2; + mixScaleX = mixScaleX2; + mixScaleY = mixScaleY2; + mixShearY = mixShearY2; + } + timelines.push(timeline); + } + for (let i = 0, n = input.readInt(true); i < n; i++) { + const index = input.readInt(true); + const data = skeletonData.constraints[index]; + for (let ii = 0, nn = input.readInt(true); ii < nn; ii++) { + const type = input.readByte(), frameCount = input.readInt(true), bezierCount = input.readInt(true); + switch (type) { + case PATH_POSITION: + readTimeline( + input, + timelines, + new PathConstraintPositionTimeline(frameCount, bezierCount, index), + data.positionMode === 0 /* Fixed */ ? scale : 1 + ); + break; + case PATH_SPACING: + readTimeline( + input, + timelines, + new PathConstraintSpacingTimeline(frameCount, bezierCount, index), + data.spacingMode === 0 /* Length */ || data.spacingMode === 1 /* Fixed */ ? scale : 1 + ); + break; + case PATH_MIX: { + const timeline = new PathConstraintMixTimeline(frameCount, bezierCount, index); + let time = input.readFloat(), mixRotate = input.readFloat(), mixX = input.readFloat(), mixY = input.readFloat(); + for (let frame = 0, bezier = 0, frameLast = timeline.getFrameCount() - 1; ; frame++) { + timeline.setFrame(frame, time, mixRotate, mixX, mixY); + if (frame === frameLast) break; + const time2 = input.readFloat(), mixRotate2 = input.readFloat(), mixX2 = input.readFloat(), mixY2 = input.readFloat(); + switch (input.readByte()) { + case CURVE_STEPPED: + timeline.setStepped(frame); + break; + case CURVE_BEZIER: + setBezier(input, timeline, bezier++, frame, 0, time, time2, mixRotate, mixRotate2, 1); + setBezier(input, timeline, bezier++, frame, 1, time, time2, mixX, mixX2, 1); + setBezier(input, timeline, bezier++, frame, 2, time, time2, mixY, mixY2, 1); + } + time = time2; + mixRotate = mixRotate2; + mixX = mixX2; + mixY = mixY2; + } + timelines.push(timeline); + } + } + } + } + for (let i = 0, n = input.readInt(true); i < n; i++) { + const index = input.readInt(true) - 1; + for (let ii = 0, nn = input.readInt(true); ii < nn; ii++) { + const type = input.readByte(), frameCount = input.readInt(true); + if (type === PHYSICS_RESET) { + const timeline = new PhysicsConstraintResetTimeline(frameCount, index); + for (let frame = 0; frame < frameCount; frame++) + timeline.setFrame(frame, input.readFloat()); + timelines.push(timeline); + continue; + } + const bezierCount = input.readInt(true); + switch (type) { + case PHYSICS_INERTIA: + readTimeline(input, timelines, new PhysicsConstraintInertiaTimeline(frameCount, bezierCount, index), 1); + break; + case PHYSICS_STRENGTH: + readTimeline(input, timelines, new PhysicsConstraintStrengthTimeline(frameCount, bezierCount, index), 1); + break; + case PHYSICS_DAMPING: + readTimeline(input, timelines, new PhysicsConstraintDampingTimeline(frameCount, bezierCount, index), 1); + break; + case PHYSICS_MASS: + readTimeline(input, timelines, new PhysicsConstraintMassTimeline(frameCount, bezierCount, index), 1); + break; + case PHYSICS_WIND: + readTimeline(input, timelines, new PhysicsConstraintWindTimeline(frameCount, bezierCount, index), 1); + break; + case PHYSICS_GRAVITY: + readTimeline(input, timelines, new PhysicsConstraintGravityTimeline(frameCount, bezierCount, index), 1); + break; + case PHYSICS_MIX: + readTimeline(input, timelines, new PhysicsConstraintMixTimeline(frameCount, bezierCount, index), 1); + break; + default: + throw new Error("Unknown physics timeline type."); + } + } + } + for (let i = 0, n = input.readInt(true); i < n; i++) { + const index = input.readInt(true); + for (let ii = 0, nn = input.readInt(true); ii < nn; ii++) { + const type = input.readByte(), frameCount = input.readInt(true), bezierCount = input.readInt(true); + switch (type) { + case SLIDER_TIME: + readTimeline(input, timelines, new SliderTimeline(frameCount, bezierCount, index), 1); + break; + case SLIDER_MIX: + readTimeline(input, timelines, new SliderMixTimeline(frameCount, bezierCount, index), 1); + break; + default: + throw new Error(`Uknown slider type: ${type}`); + } + } + } + for (let i = 0, n = input.readInt(true); i < n; i++) { + const skin = skeletonData.skins[input.readInt(true)]; + for (let ii = 0, nn = input.readInt(true); ii < nn; ii++) { + const slotIndex = input.readInt(true); + for (let iii = 0, nnn = input.readInt(true); iii < nnn; iii++) { + const attachmentName = input.readStringRef(); + if (!attachmentName) throw new Error("attachmentName must not be null."); + const attachment = skin.getAttachment(slotIndex, attachmentName); + const timelineType = input.readByte(); + const frameCount = input.readInt(true); + const frameLast = frameCount - 1; + switch (timelineType) { + case ATTACHMENT_DEFORM: { + const vertexAttachment = attachment; + const weighted = vertexAttachment.bones; + const vertices = vertexAttachment.vertices; + const deformLength = weighted ? vertices.length / 3 * 2 : vertices.length; + const bezierCount = input.readInt(true); + const timeline = new DeformTimeline(frameCount, bezierCount, slotIndex, vertexAttachment); + let time = input.readFloat(); + for (let frame = 0, bezier = 0; ; frame++) { + let deform; + let end = input.readInt(true); + if (end === 0) + deform = weighted ? Utils.newFloatArray(deformLength) : vertices; + else { + deform = Utils.newFloatArray(deformLength); + const start = input.readInt(true); + end += start; + if (scale === 1) { + for (let v = start; v < end; v++) + deform[v] = input.readFloat(); + } else { + for (let v = start; v < end; v++) + deform[v] = input.readFloat() * scale; + } + if (!weighted) { + for (let v = 0, vn = deform.length; v < vn; v++) + deform[v] += vertices[v]; + } + } + timeline.setFrame(frame, time, deform); + if (frame === frameLast) break; + const time2 = input.readFloat(); + switch (input.readByte()) { + case CURVE_STEPPED: + timeline.setStepped(frame); + break; + case CURVE_BEZIER: + setBezier(input, timeline, bezier++, frame, 0, time, time2, 0, 1, 1); + } + time = time2; + } + timelines.push(timeline); + break; + } + case ATTACHMENT_SEQUENCE: { + const timeline = new SequenceTimeline(frameCount, slotIndex, attachment); + for (let frame = 0; frame < frameCount; frame++) { + const time = input.readFloat(); + const modeAndIndex = input.readInt32(); + timeline.setFrame( + frame, + time, + SequenceModeValues[modeAndIndex & 15], + modeAndIndex >> 4, + input.readFloat() + ); + } + timelines.push(timeline); + break; + } + } + } + } + } + const slotCount = skeletonData.slots.length; + const drawOrderCount = input.readInt(true); + if (drawOrderCount > 0) { + const timeline = new DrawOrderTimeline(drawOrderCount); + for (let i = 0; i < drawOrderCount; i++) + timeline.setFrame(i, input.readFloat(), readDrawOrder(input, slotCount)); + timelines.push(timeline); + } + const folderCount = input.readInt(true); + for (let i = 0; i < folderCount; i++) { + const folderSlotCount = input.readInt(true); + const folderSlots = new Array(folderSlotCount); + for (let ii = 0; ii < folderSlotCount; ii++) + folderSlots[ii] = input.readInt(true); + const keyCount = input.readInt(true); + const timeline = new DrawOrderFolderTimeline(keyCount, folderSlots, slotCount); + for (let ii = 0; ii < keyCount; ii++) + timeline.setFrame(ii, input.readFloat(), readDrawOrder(input, folderSlotCount)); + timelines.push(timeline); + } + const eventCount = input.readInt(true); + if (eventCount > 0) { + const timeline = new EventTimeline(eventCount); + for (let i = 0; i < eventCount; i++) { + const time = input.readFloat(); + const eventData = skeletonData.events[input.readInt(true)]; + const event = new Event(time, eventData); + event.intValue = input.readInt(false); + event.floatValue = input.readFloat(); + event.stringValue = input.readString(); + if (event.stringValue == null) event.stringValue = eventData.setupPose.stringValue; + if (event.data.audioPath) { + event.volume = input.readFloat(); + event.balance = input.readFloat(); + } + timeline.setFrame(i, event); + } + timelines.push(timeline); + } + let duration = 0; + for (let i = 0, n = timelines.length; i < n; i++) + duration = Math.max(duration, timelines[i].getDuration()); + const animation = new Animation(name, timelines, duration); + if (nonessential) Color.rgba8888ToColor(animation.color, input.readInt32()); + return animation; + } + }; + var BinaryInput = class { + constructor(data, strings = [], index = 0, buffer = new DataView(data instanceof ArrayBuffer ? data : data.buffer)) { + this.strings = strings; + this.index = index; + this.buffer = buffer; + } + readByte() { + return this.buffer.getInt8(this.index++); + } + readUnsignedByte() { + return this.buffer.getUint8(this.index++); + } + readShort() { + const value = this.buffer.getInt16(this.index); + this.index += 2; + return value; + } + readInt32() { + const value = this.buffer.getInt32(this.index); + this.index += 4; + return value; + } + readInt(optimizePositive) { + let b = this.readByte(); + let result = b & 127; + if ((b & 128) !== 0) { + b = this.readByte(); + result |= (b & 127) << 7; + if ((b & 128) !== 0) { + b = this.readByte(); + result |= (b & 127) << 14; + if ((b & 128) !== 0) { + b = this.readByte(); + result |= (b & 127) << 21; + if ((b & 128) !== 0) { + b = this.readByte(); + result |= (b & 127) << 28; + } + } + } + } + return optimizePositive ? result : result >>> 1 ^ -(result & 1); + } + readStringRef() { + const index = this.readInt(true); + return index === 0 ? null : this.strings[index - 1]; + } + readString() { + let byteCount = this.readInt(true); + switch (byteCount) { + case 0: + return null; + case 1: + return ""; + } + byteCount--; + let chars = ""; + for (let i = 0; i < byteCount; ) { + const b = this.readUnsignedByte(); + switch (b >> 4) { + case 12: + case 13: + chars += String.fromCharCode((b & 31) << 6 | this.readByte() & 63); + i += 2; + break; + case 14: + chars += String.fromCharCode((b & 15) << 12 | (this.readByte() & 63) << 6 | this.readByte() & 63); + i += 3; + break; + default: + chars += String.fromCharCode(b); + i++; + } + } + return chars; + } + readFloat() { + const value = this.buffer.getFloat32(this.index); + this.index += 4; + return value; + } + readBoolean() { + return this.readByte() !== 0; + } + }; + var LinkedMesh = class { + source; + skinIndex; + slotIndex; + sourceIndex; + mesh; + inheritTimelines; + constructor(mesh, skinIndex, slotIndex, sourceIndex, source, inheritTimelines) { + this.mesh = mesh; + this.skinIndex = skinIndex; + this.slotIndex = slotIndex; + this.sourceIndex = sourceIndex; + this.source = source; + this.inheritTimelines = inheritTimelines; + } + }; + var Vertices = class { + constructor(bones = null, vertices, length = 0) { + this.bones = bones; + this.vertices = vertices; + this.length = length; + } + }; + function readTimeline(input, timelines, timeline, scale) { + if (timeline instanceof CurveTimeline1) + readTimeline1(input, timelines, timeline, scale); + else + readTimeline2(input, timelines, timeline, scale); + } + function readTimeline1(input, timelines, timeline, scale) { + let time = input.readFloat(), value = input.readFloat() * scale; + for (let frame = 0, bezier = 0, frameLast = timeline.getFrameCount() - 1; ; frame++) { + timeline.setFrame(frame, time, value); + if (frame === frameLast) break; + const time2 = input.readFloat(), value2 = input.readFloat() * scale; + switch (input.readByte()) { + case CURVE_STEPPED: + timeline.setStepped(frame); + break; + case CURVE_BEZIER: + setBezier(input, timeline, bezier++, frame, 0, time, time2, value, value2, scale); + } + time = time2; + value = value2; + } + timelines.push(timeline); + } + function readTimeline2(input, timelines, timeline, scale) { + let time = input.readFloat(), value1 = input.readFloat() * scale, value2 = input.readFloat() * scale; + for (let frame = 0, bezier = 0, frameLast = timeline.getFrameCount() - 1; ; frame++) { + timeline.setFrame(frame, time, value1, value2); + if (frame === frameLast) break; + const time2 = input.readFloat(), nvalue1 = input.readFloat() * scale, nvalue2 = input.readFloat() * scale; + switch (input.readByte()) { + case CURVE_STEPPED: + timeline.setStepped(frame); + break; + case CURVE_BEZIER: + setBezier(input, timeline, bezier++, frame, 0, time, time2, value1, nvalue1, scale); + setBezier(input, timeline, bezier++, frame, 1, time, time2, value2, nvalue2, scale); + } + time = time2; + value1 = nvalue1; + value2 = nvalue2; + } + timelines.push(timeline); + } + function readDrawOrder(input, slotCount) { + const changeCount = input.readInt(true); + if (changeCount === 0) return null; + const drawOrder = new Array(slotCount).fill(-1); + const unchanged = new Array(slotCount - changeCount); + let originalIndex = 0, unchangedIndex = 0; + for (let i = 0; i < changeCount; i++) { + const slotIndex = input.readInt(true); + while (originalIndex !== slotIndex) + unchanged[unchangedIndex++] = originalIndex++; + drawOrder[originalIndex + input.readInt(true)] = originalIndex++; + } + while (originalIndex < slotCount) + unchanged[unchangedIndex++] = originalIndex++; + for (let i = slotCount - 1; i >= 0; i--) + if (drawOrder[i] === -1) drawOrder[i] = unchanged[--unchangedIndex]; + return drawOrder; + } + function setBezier(input, timeline, bezier, frame, value, time1, time2, value1, value2, scale) { + timeline.setBezier(bezier, frame, value, time1, value1, input.readFloat(), input.readFloat() * scale, input.readFloat(), input.readFloat() * scale, time2, value2); + } + var BONE_ROTATE = 0; + var BONE_TRANSLATE = 1; + var BONE_TRANSLATEX = 2; + var BONE_TRANSLATEY = 3; + var BONE_SCALE = 4; + var BONE_SCALEX = 5; + var BONE_SCALEY = 6; + var BONE_SHEAR = 7; + var BONE_SHEARX = 8; + var BONE_SHEARY = 9; + var BONE_INHERIT = 10; + var SLOT_ATTACHMENT = 0; + var SLOT_RGBA = 1; + var SLOT_RGB = 2; + var SLOT_RGBA2 = 3; + var SLOT_RGB2 = 4; + var SLOT_ALPHA = 5; + var CONSTRAINT_IK = 0; + var CONSTRAINT_PATH = 1; + var CONSTRAINT_TRANSFORM = 2; + var CONSTRAINT_PHYSICS = 3; + var CONSTRAINT_SLIDER = 4; + var ATTACHMENT_DEFORM = 0; + var ATTACHMENT_SEQUENCE = 1; + var PATH_POSITION = 0; + var PATH_SPACING = 1; + var PATH_MIX = 2; + var PHYSICS_INERTIA = 0; + var PHYSICS_STRENGTH = 1; + var PHYSICS_DAMPING = 2; + var PHYSICS_MASS = 4; + var PHYSICS_WIND = 5; + var PHYSICS_GRAVITY = 6; + var PHYSICS_MIX = 7; + var PHYSICS_RESET = 8; + var SLIDER_TIME = 0; + var SLIDER_MIX = 1; + var CURVE_STEPPED = 1; + var CURVE_BEZIER = 2; + + // spine-core/src/SkeletonBounds.ts + var SkeletonBounds = class { + /** The left edge of the axis aligned bounding box. */ + minX = 0; + /** The bottom edge of the axis aligned bounding box. */ + minY = 0; + /** The right edge of the axis aligned bounding box. */ + maxX = 0; + /** The top edge of the axis aligned bounding box. */ + maxY = 0; + /** The visible bounding boxes. */ + boundingBoxes = []; + /** The world vertices for the bounding box polygons. */ + polygons = []; + polygonPool = new Pool(() => { + return Utils.newFloatArray(16); + }); + /** Clears any previous polygons, finds all visible bounding box attachments, and computes the world vertices for each bounding + * box's polygon. + * @param updateAabb If true, the axis aligned bounding box containing all the polygons is computed. If false, the + * SkeletonBounds AABB methods will always return true. */ + update(skeleton, updateAabb) { + if (!skeleton) throw new Error("skeleton cannot be null."); + const boundingBoxes = this.boundingBoxes; + const polygons = this.polygons; + const polygonPool = this.polygonPool; + const slots = skeleton.slots; + const slotCount = slots.length; + boundingBoxes.length = 0; + polygonPool.freeAll(polygons); + polygons.length = 0; + for (let i = 0; i < slotCount; i++) { + const slot = slots[i]; + if (!slot.bone.active) continue; + const attachment = slot.appliedPose.attachment; + if (attachment instanceof BoundingBoxAttachment) { + boundingBoxes.push(attachment); + let polygon = polygonPool.obtain(); + if (polygon.length !== attachment.worldVerticesLength) { + polygon = Utils.newFloatArray(attachment.worldVerticesLength); + } + polygons.push(polygon); + attachment.computeWorldVertices(skeleton, slot, 0, attachment.worldVerticesLength, polygon, 0, 2); + } + } + if (updateAabb) { + this.aabbCompute(); + } else { + this.minX = Number.POSITIVE_INFINITY; + this.minY = Number.POSITIVE_INFINITY; + this.maxX = Number.NEGATIVE_INFINITY; + this.maxY = Number.NEGATIVE_INFINITY; + } + } + aabbCompute() { + let minX = Number.POSITIVE_INFINITY, minY = Number.POSITIVE_INFINITY, maxX = Number.NEGATIVE_INFINITY, maxY = Number.NEGATIVE_INFINITY; + const polygons = this.polygons; + for (let i = 0, n = polygons.length; i < n; i++) { + const polygon = polygons[i]; + const vertices = polygon; + for (let ii = 0, nn = polygon.length; ii < nn; ii += 2) { + const x = vertices[ii]; + const y = vertices[ii + 1]; + minX = Math.min(minX, x); + minY = Math.min(minY, y); + maxX = Math.max(maxX, x); + maxY = Math.max(maxY, y); + } + } + this.minX = minX; + this.minY = minY; + this.maxX = maxX; + this.maxY = maxY; + } + /** Returns true if the axis aligned bounding box contains the point. */ + aabbContainsPoint(x, y) { + return x >= this.minX && x <= this.maxX && y >= this.minY && y <= this.maxY; + } + /** Returns true if the axis aligned bounding box intersects the line segment. */ + aabbIntersectsSegment(x1, y1, x2, y2) { + const minX = this.minX; + const minY = this.minY; + const maxX = this.maxX; + const maxY = this.maxY; + if (x1 <= minX && x2 <= minX || y1 <= minY && y2 <= minY || x1 >= maxX && x2 >= maxX || y1 >= maxY && y2 >= maxY) + return false; + const m = (y2 - y1) / (x2 - x1); + let y = m * (minX - x1) + y1; + if (y > minY && y < maxY) return true; + y = m * (maxX - x1) + y1; + if (y > minY && y < maxY) return true; + let x = (minY - y1) / m + x1; + if (x > minX && x < maxX) return true; + x = (maxY - y1) / m + x1; + if (x > minX && x < maxX) return true; + return false; + } + /** Returns true if the axis aligned bounding box intersects the axis aligned bounding box of the specified bounds. */ + aabbIntersectsSkeleton(bounds) { + return this.minX < bounds.maxX && this.maxX > bounds.minX && this.minY < bounds.maxY && this.maxY > bounds.minY; + } + /** Returns the first bounding box attachment that contains the point, or null. When doing many checks, it is usually more + * efficient to only call this method if {@link aabbContainsPoint} returns true. */ + containsPoint(x, y) { + const polygons = this.polygons; + for (let i = 0, n = polygons.length; i < n; i++) + if (this.containsPointPolygon(polygons[i], x, y)) return this.boundingBoxes[i]; + return null; + } + /** Returns true if the polygon contains the point. */ + containsPointPolygon(polygon, x, y) { + const vertices = polygon; + const nn = polygon.length; + let prevIndex = nn - 2; + let inside = false; + for (let ii = 0; ii < nn; ii += 2) { + const vertexY = vertices[ii + 1]; + const prevY = vertices[prevIndex + 1]; + if (vertexY < y && prevY >= y || prevY < y && vertexY >= y) { + const vertexX = vertices[ii]; + if (vertexX + (y - vertexY) / (prevY - vertexY) * (vertices[prevIndex] - vertexX) < x) inside = !inside; + } + prevIndex = ii; + } + return inside; + } + /** Returns the first bounding box attachment that contains any part of the line segment, or null. When doing many checks, it + * is usually more efficient to only call this method if {@link aabbIntersectsSegment} returns + * true. */ + intersectsSegment(x1, y1, x2, y2) { + const polygons = this.polygons; + for (let i = 0, n = polygons.length; i < n; i++) + if (this.intersectsSegmentPolygon(polygons[i], x1, y1, x2, y2)) return this.boundingBoxes[i]; + return null; + } + /** Returns true if the polygon contains any part of the line segment. */ + intersectsSegmentPolygon(polygon, x1, y1, x2, y2) { + const vertices = polygon; + const nn = polygon.length; + const width12 = x1 - x2, height12 = y1 - y2; + const det1 = x1 * y2 - y1 * x2; + let x3 = vertices[nn - 2], y3 = vertices[nn - 1]; + for (let ii = 0; ii < nn; ii += 2) { + const x4 = vertices[ii], y4 = vertices[ii + 1]; + const det2 = x3 * y4 - y3 * x4; + const width34 = x3 - x4, height34 = y3 - y4; + const det3 = width12 * height34 - height12 * width34; + const x = (det1 * width34 - width12 * det2) / det3; + if ((x >= x3 && x <= x4 || x >= x4 && x <= x3) && (x >= x1 && x <= x2 || x >= x2 && x <= x1)) { + const y = (det1 * height34 - height12 * det2) / det3; + if ((y >= y3 && y <= y4 || y >= y4 && y <= y3) && (y >= y1 && y <= y2 || y >= y2 && y <= y1)) return true; + } + x3 = x4; + y3 = y4; + } + return false; + } + /** Returns the polygon for the specified bounding box, or null. */ + getPolygon(boundingBox) { + if (!boundingBox) throw new Error("boundingBox cannot be null."); + const index = this.boundingBoxes.indexOf(boundingBox); + return index === -1 ? null : this.polygons[index]; + } + /** The width of the axis aligned bounding box. */ + getWidth() { + return this.maxX - this.minX; + } + /** The height of the axis aligned bounding box. */ + getHeight() { + return this.maxY - this.minY; + } + }; + + // spine-core/src/Triangulator.ts + var Triangulator = class _Triangulator { + convexPolygons = []; + convexPolygonsIndices = []; + indicesArray = []; + isConcaveArray = []; + triangles = []; + polygonPool = new Pool(() => { + return []; + }); + polygonIndicesPool = new Pool(() => { + return []; + }); + triangulate(verticesArray) { + const vertices = verticesArray; + let vertexCount = verticesArray.length >> 1; + const indices = this.indicesArray; + indices.length = 0; + for (let i = 0; i < vertexCount; i++) + indices[i] = i; + const isConcave = this.isConcaveArray; + isConcave.length = 0; + for (let i = 0; i < vertexCount; i++) + isConcave[i] = _Triangulator.isConcave(i, vertexCount, vertices, indices); + const triangles = this.triangles; + triangles.length = 0; + while (vertexCount > 3) { + let previous = vertexCount - 1, i = 0, next = 1; + while (true) { + outer: + if (!isConcave[i]) { + const p1 = indices[previous] << 1, p2 = indices[i] << 1, p3 = indices[next] << 1; + const p1x = vertices[p1], p1y = vertices[p1 + 1]; + const p2x = vertices[p2], p2y = vertices[p2 + 1]; + const p3x = vertices[p3], p3y = vertices[p3 + 1]; + for (let ii = next + 1 < vertexCount ? next + 1 : 0; ii !== previous; ) { + if (isConcave[ii]) { + const v = indices[ii] << 1; + const vx = vertices[v], vy = vertices[v + 1]; + if (_Triangulator.positiveArea(p3x, p3y, p1x, p1y, vx, vy) && _Triangulator.positiveArea(p1x, p1y, p2x, p2y, vx, vy) && _Triangulator.positiveArea(p2x, p2y, p3x, p3y, vx, vy)) break outer; + } + if (++ii === vertexCount) ii = 0; + } + break; + } + if (next === 0) { + do { + if (!isConcave[i]) break; + i--; + } while (i > 0); + previous = i > 0 ? i - 1 : vertexCount - 1; + next = i + 1 < vertexCount ? i + 1 : 0; + break; + } + previous = i; + i = next; + if (++next === vertexCount) next = 0; + } + triangles.push(indices[previous], indices[i], indices[next]); + indices.splice(i, 1); + isConcave.splice(i, 1); + vertexCount--; + const previousIndex = i > 0 ? i - 1 : vertexCount - 1; + const nextIndex = i < vertexCount ? i : 0; + isConcave[previousIndex] = _Triangulator.isConcave(previousIndex, vertexCount, vertices, indices); + isConcave[nextIndex] = _Triangulator.isConcave(nextIndex, vertexCount, vertices, indices); + } + if (vertexCount === 3) triangles.push(indices[2], indices[0], indices[1]); + return triangles; + } + decompose(verticesArray, triangles) { + const vertices = verticesArray; + const convexPolygons = this.convexPolygons; + this.polygonPool.freeAll(convexPolygons); + convexPolygons.length = 0; + const convexPolygonsIndices = this.convexPolygonsIndices; + this.polygonIndicesPool.freeAll(convexPolygonsIndices); + convexPolygonsIndices.length = 0; + let polygonIndices = this.polygonIndicesPool.obtain(); + polygonIndices.length = 0; + let polygon = this.polygonPool.obtain(); + polygon.length = 0; + let fanBaseIndex = -1, lastWinding = 0; + for (let i = 0, n = triangles.length; i < n; i += 3) { + const t1 = triangles[i] << 1, t2 = triangles[i + 1] << 1, t3 = triangles[i + 2] << 1; + const x1 = vertices[t1], y1 = vertices[t1 + 1]; + const x2 = vertices[t2], y2 = vertices[t2 + 1]; + const x3 = vertices[t3], y3 = vertices[t3 + 1]; + if (fanBaseIndex === t1) { + const o = polygon.length - 4; + if (_Triangulator.winding(polygon[o], polygon[o + 1], polygon[o + 2], polygon[o + 3], x3, y3) === lastWinding && _Triangulator.winding(x3, y3, polygon[0], polygon[1], polygon[2], polygon[3]) === lastWinding) { + polygon.push(x3, y3); + polygonIndices.push(t3); + continue; + } + } + if (polygon.length > 0) { + convexPolygons.push(polygon); + convexPolygonsIndices.push(polygonIndices); + polygon = this.polygonPool.obtain(); + polygonIndices = this.polygonIndicesPool.obtain(); + } + polygon.length = 0; + polygon.push(x1, y1, x2, y2); + polygon.push(x3, y3); + polygonIndices.length = 0; + polygonIndices.push(t1, t2, t3); + lastWinding = _Triangulator.winding(x1, y1, x2, y2, x3, y3); + fanBaseIndex = t1; + } + if (polygon.length > 0) { + convexPolygons.push(polygon); + convexPolygonsIndices.push(polygonIndices); + } + for (let i = 0, n = convexPolygons.length; i < n; i++) { + polygonIndices = convexPolygonsIndices[i]; + if (polygonIndices.length === 0) continue; + const firstIndex = polygonIndices[0]; + let lastIndex = polygonIndices[polygonIndices.length - 1]; + polygon = convexPolygons[i]; + const o = polygon.length - 4; + let prevPrevX = polygon[o], prevPrevY = polygon[o + 1]; + let prevX = polygon[o + 2], prevY = polygon[o + 3]; + const firstX = polygon[0], firstY = polygon[1]; + const secondX = polygon[2], secondY = polygon[3]; + const winding = _Triangulator.winding(prevPrevX, prevPrevY, prevX, prevY, firstX, firstY); + for (let ii = 0; ii < n; ii++) { + if (ii === i) continue; + const otherIndices = convexPolygonsIndices[ii]; + if (otherIndices.length !== 3) continue; + const otherFirstIndex = otherIndices[0]; + const otherSecondIndex = otherIndices[1]; + const otherLastIndex = otherIndices[2]; + const otherPoly = convexPolygons[ii]; + const x3 = otherPoly[otherPoly.length - 2], y3 = otherPoly[otherPoly.length - 1]; + if (otherFirstIndex !== firstIndex || otherSecondIndex !== lastIndex) continue; + if (_Triangulator.winding(prevPrevX, prevPrevY, prevX, prevY, x3, y3) === winding && _Triangulator.winding(x3, y3, firstX, firstY, secondX, secondY) === winding) { + otherPoly.length = 0; + otherIndices.length = 0; + polygon.push(x3, y3); + polygonIndices.push(otherLastIndex); + lastIndex = otherLastIndex; + prevPrevX = prevX; + prevPrevY = prevY; + prevX = x3; + prevY = y3; + ii = -1; + } + } + } + for (let i = convexPolygons.length - 1; i >= 0; i--) { + polygon = convexPolygons[i]; + if (polygon.length === 0) { + convexPolygons.splice(i, 1); + this.polygonPool.free(polygon); + polygonIndices = convexPolygonsIndices[i]; + convexPolygonsIndices.splice(i, 1); + this.polygonIndicesPool.free(polygonIndices); + } else + polygon.push(polygon[0], polygon[1]); + } + return convexPolygons; + } + static isConcave(index, vertexCount, vertices, indices) { + const previous = indices[index > 0 ? index - 1 : vertexCount - 1] << 1; + const current = indices[index] << 1; + const next = indices[index + 1 < vertexCount ? index + 1 : 0] << 1; + return !_Triangulator.positiveArea( + vertices[previous], + vertices[previous + 1], + vertices[current], + vertices[current + 1], + vertices[next], + vertices[next + 1] + ); + } + static positiveArea(p1x, p1y, p2x, p2y, p3x, p3y) { + return p1x * (p3y - p2y) + p2x * (p1y - p3y) + p3x * (p2y - p1y) >= 0; + } + static winding(p1x, p1y, p2x, p2y, p3x, p3y) { + return p1x * (p3y - p2y) + p2x * (p1y - p3y) + p3x * (p2y - p1y) >= 0 ? 1 : -1; + } + }; + + // spine-core/src/SkeletonClipping.ts + var SkeletonClipping = class { + triangulator = null; + clippingPolygon = []; + clippingPolygons = []; + clipOutput = []; + clippedVertices = []; + /** An empty array unless {@link clipTrianglesUnpacked} was used. **/ + clippedUVs = []; + clippedTriangles = []; + inverseVertices = []; + _clippedVerticesTyped = new Float32Array(1024); + _clippedUVsTyped = new Float32Array(1024); + _clippedTrianglesTyped = new Uint16Array(1024); + clippedVerticesTyped = new Float32Array(0); + clippedUVsTyped = new Float32Array(0); + clippedTrianglesTyped = new Uint16Array(0); + clippedVerticesLength = 0; + clippedUVsLength = 0; + clippedTrianglesLength = 0; + scratch = []; + inverse = false; + clipAttachment = null; + clipStart(skeleton, slot, clip) { + if (this.clipAttachment) return; + const n = clip.worldVerticesLength; + this.clipAttachment = clip; + this.inverse = clip.inverse; + const vertices = Utils.setArraySize(this.clippingPolygon, n); + clip.computeWorldVertices(skeleton, slot, 0, n, vertices, 0, 2); + const clippingPolygon = this.clippingPolygon; + const convex = this.makeClockwise(clippingPolygon); + if (convex || this.inverse || clip.convex) { + if (!convex) this.makeConvex(clippingPolygon); + this.clippingPolygon.push(clippingPolygon[0], clippingPolygon[1]); + this.clippingPolygons.push(clippingPolygon); + } else { + if (this.triangulator === null) this.triangulator = new Triangulator(); + this.clippingPolygons.push(...this.triangulator.decompose(clippingPolygon, this.triangulator.triangulate(clippingPolygon))); + } + } + clipEnd(slot) { + if (!this.clipAttachment) return; + if (slot && this.clipAttachment.endSlot !== slot.data) return; + this.clipAttachment = null; + this.clippingPolygons.length = 0; + } + isClipping() { + return this.clipAttachment != null; + } + clipTriangles(vertices, triangles, trianglesLength, uvs, light, dark, twoColor, stride) { + return uvs && light && dark && typeof twoColor === "boolean" && typeof stride === "number" ? this.clipTrianglesRender(vertices, triangles, trianglesLength, uvs, light, dark, twoColor, stride) : this.clipTrianglesNoRender(vertices, triangles, trianglesLength); + } + clipTrianglesNoRender(vertices, triangles, trianglesLength) { + const clippedVertices = this.clippedVertices; + clippedVertices.length = 0; + const clippedTriangles = this.clippedTriangles; + clippedTriangles.length = 0; + let index = 0; + if (this.inverse) { + const polygon = this.clippingPolygons[0]; + for (let i = 0; i < trianglesLength; i += 3) { + let t = triangles[i] << 1; + const x1 = vertices[t], y1 = vertices[t + 1]; + t = triangles[i + 1] << 1; + const x2 = vertices[t], y2 = vertices[t + 1]; + t = triangles[i + 2] << 1; + const x3 = vertices[t], y3 = vertices[t + 1]; + this.clipInverse(x1, y1, x2, y2, x3, y3, polygon); + const iv = this.inverseVertices; + for (let offset = 0, nn = this.inverseVertices.length; offset < nn; ) { + const polygonSize = iv[offset++]; + let vertexCount = polygonSize >> 1, s = clippedVertices.length; + const cv = Utils.setArraySize(clippedVertices, s + polygonSize); + Utils.arrayCopy(iv, offset, cv, s, polygonSize); + s = clippedTriangles.length; + const ct = Utils.setArraySize(clippedTriangles, s + 3 * (vertexCount - 2)); + for (let ii = 1; ii < vertexCount - 1; ii++, s += 3) { + ct[s] = index; + ct[s + 1] = index + ii; + ct[s + 2] = index + ii + 1; + } + index += vertexCount; + offset += polygonSize; + } + } + return true; + } + const clipOutput = this.clipOutput; + const polygons = this.clippingPolygons; + const polygonsCount = polygons.length; + let clipOutputItems = null; + for (let i = 0; i < trianglesLength; i += 3) { + let t = triangles[i] << 1; + const x1 = vertices[t], y1 = vertices[t + 1]; + t = triangles[i + 1] << 1; + const x2 = vertices[t], y2 = vertices[t + 1]; + t = triangles[i + 2] << 1; + const x3 = vertices[t], y3 = vertices[t + 1]; + for (let p = 0; p < polygonsCount; p++) { + let s = clippedVertices.length; + if (this.clip(x1, y1, x2, y2, x3, y3, polygons[p])) { + clipOutputItems = this.clipOutput; + const clipOutputLength = clipOutput.length; + if (clipOutputLength === 0) continue; + let clipOutputCount = clipOutputLength >> 1; + const cv = Utils.setArraySize(clippedVertices, s + clipOutputLength); + Utils.arrayCopy(clipOutputItems, 0, cv, s, clipOutputLength); + s = clippedTriangles.length; + const ct = Utils.setArraySize(clippedTriangles, s + 3 * (clipOutputCount - 2)); + clipOutputCount--; + for (let ii = 1; ii < clipOutputCount; ii++, s += 3) { + ct[s] = index; + ct[s + 1] = index + ii; + ct[s + 2] = index + ii + 1; + } + index += clipOutputCount; + } else { + const cv = Utils.setArraySize(clippedVertices, s + 3 * 2); + cv[s] = x1; + cv[s + 1] = y1; + cv[s + 2] = x2; + cv[s + 3] = y2; + cv[s + 4] = x3; + cv[s + 5] = y3; + s = clippedTriangles.length; + const ct = Utils.setArraySize(clippedTriangles, s + 3); + ct[s] = index; + ct[s + 1] = index + 1; + ct[s + 2] = index + 2; + index += 3; + break; + } + } + } + return clipOutputItems != null; + } + clipTrianglesRender(vertices, triangles, trianglesLength, uvs, light, dark, twoColor, stride) { + const clippedVertices = this.clippedVertices; + clippedVertices.length = 0; + const clippedTriangles = this.clippedTriangles; + clippedTriangles.length = 0; + let index = 0; + if (this.inverse) { + const polygon = this.clippingPolygons[0]; + for (let i = 0; i < trianglesLength; i += 3) { + let t0 = triangles[i], t1 = triangles[i + 1], t2 = triangles[i + 2]; + const x1 = vertices[t0 * stride], y1 = vertices[t0 * stride + 1]; + const x2 = vertices[t1 * stride], y2 = vertices[t1 * stride + 1]; + const x3 = vertices[t2 * stride], y3 = vertices[t2 * stride + 1]; + this.clipInverse(x1, y1, x2, y2, x3, y3, polygon); + const nn = this.inverseVertices.length; + if (nn === 0) continue; + const u1 = uvs[t0 <<= 1], v1 = uvs[t0 + 1]; + const u2 = uvs[t1 <<= 1], v2 = uvs[t1 + 1]; + const u3 = uvs[t2 <<= 1], v3 = uvs[t2 + 1]; + const d0 = y2 - y3, d1 = x3 - x2, d2 = x1 - x3, d4 = y3 - y1, d = 1 / (d0 * d2 + d1 * (y1 - y3)); + const iv = this.inverseVertices; + for (let offset = 0; offset < nn; ) { + const polygonSize = iv[offset++]; + const vertexCount = polygonSize >> 1; + let s = clippedVertices.length; + const cv = Utils.setArraySize(clippedVertices, s + vertexCount * stride); + for (let ii = 0; ii < polygonSize; ii += 2, s += stride) { + const x = iv[offset + ii], y = iv[offset + ii + 1]; + cv[s] = x; + cv[s + 1] = y; + cv[s + 2] = light.r; + cv[s + 3] = light.g; + cv[s + 4] = light.b; + cv[s + 5] = light.a; + const c0 = x - x3, c1 = y - y3, a = (d0 * c0 + d1 * c1) * d, b = (d4 * c0 + d2 * c1) * d, c = 1 - a - b; + cv[s + 6] = u1 * a + u2 * b + u3 * c; + cv[s + 7] = v1 * a + v2 * b + v3 * c; + if (twoColor) { + cv[s + 8] = dark.r; + cv[s + 9] = dark.g; + cv[s + 10] = dark.b; + cv[s + 11] = dark.a; + } + } + s = clippedTriangles.length; + const ct = Utils.setArraySize(clippedTriangles, s + 3 * (vertexCount - 2)); + for (let ii = 1; ii < vertexCount - 1; ii++, s += 3) { + ct[s] = index; + ct[s + 1] = index + ii; + ct[s + 2] = index + ii + 1; + } + index += vertexCount; + offset += polygonSize; + } + } + return true; + } + const clipOutput = this.clipOutput; + const polygons = this.clippingPolygons; + const polygonsCount = this.clippingPolygons.length; + let clipOutputItems = null; + for (let i = 0; i < trianglesLength; i += 3) { + let t = triangles[i]; + const x1 = vertices[t * stride], y1 = vertices[t * stride + 1]; + const u1 = uvs[t << 1], v1 = uvs[(t << 1) + 1]; + t = triangles[i + 1]; + const x2 = vertices[t * stride], y2 = vertices[t * stride + 1]; + const u2 = uvs[t << 1], v2 = uvs[(t << 1) + 1]; + t = triangles[i + 2]; + const x3 = vertices[t * stride], y3 = vertices[t * stride + 1]; + const u3 = uvs[t << 1], v3 = uvs[(t << 1) + 1]; + let d0 = 0, d1 = 0, d2 = 0, d4 = 0, d = 0; + for (let p = 0; p < polygonsCount; p++) { + let s = clippedVertices.length; + if (this.clip(x1, y1, x2, y2, x3, y3, polygons[p])) { + clipOutputItems = this.clipOutput; + const clipOutputLength = clipOutput.length; + if (clipOutputLength === 0) continue; + let clipOutputCount = clipOutputLength >> 1; + if (d === 0) { + d0 = y2 - y3; + d1 = x3 - x2; + d2 = x1 - x3; + d4 = y3 - y1; + d = 1 / (d0 * d2 - d1 * d4); + } + const cv = Utils.setArraySize(clippedVertices, s + clipOutputCount * stride); + for (let ii = 0; ii < clipOutputLength; ii += 2, s += stride) { + const x = clipOutputItems[ii], y = clipOutputItems[ii + 1]; + cv[s] = x; + cv[s + 1] = y; + cv[s + 2] = light.r; + cv[s + 3] = light.g; + cv[s + 4] = light.b; + cv[s + 5] = light.a; + const c0 = x - x3, c1 = y - y3, a = (d0 * c0 + d1 * c1) * d, b = (d4 * c0 + d2 * c1) * d, c = 1 - a - b; + cv[s + 6] = u1 * a + u2 * b + u3 * c; + cv[s + 7] = v1 * a + v2 * b + v3 * c; + if (twoColor) { + cv[s + 8] = dark.r; + cv[s + 9] = dark.g; + cv[s + 10] = dark.b; + cv[s + 11] = dark.a; + } + } + s = clippedTriangles.length; + const ct = Utils.setArraySize(clippedTriangles, s + 3 * (clipOutputCount - 2)); + clipOutputCount--; + for (let ii = 1; ii < clipOutputCount; ii++, s += 3) { + ct[s] = index; + ct[s + 1] = index + ii; + ct[s + 2] = index + ii + 1; + } + index += clipOutputCount + 1; + } else { + const cv = Utils.setArraySize(clippedVertices, s + 3 * stride); + cv[s] = x1; + cv[s + 1] = y1; + cv[s + 2] = light.r; + cv[s + 3] = light.g; + cv[s + 4] = light.b; + cv[s + 5] = light.a; + if (!twoColor) { + cv[s + 6] = u1; + cv[s + 7] = v1; + cv[s + 8] = x2; + cv[s + 9] = y2; + cv[s + 10] = light.r; + cv[s + 11] = light.g; + cv[s + 12] = light.b; + cv[s + 13] = light.a; + cv[s + 14] = u2; + cv[s + 15] = v2; + cv[s + 16] = x3; + cv[s + 17] = y3; + cv[s + 18] = light.r; + cv[s + 19] = light.g; + cv[s + 20] = light.b; + cv[s + 21] = light.a; + cv[s + 22] = u3; + cv[s + 23] = v3; + } else { + cv[s + 6] = u1; + cv[s + 7] = v1; + cv[s + 8] = dark.r; + cv[s + 9] = dark.g; + cv[s + 10] = dark.b; + cv[s + 11] = dark.a; + cv[s + 12] = x2; + cv[s + 13] = y2; + cv[s + 14] = light.r; + cv[s + 15] = light.g; + cv[s + 16] = light.b; + cv[s + 17] = light.a; + cv[s + 18] = u2; + cv[s + 19] = v2; + cv[s + 20] = dark.r; + cv[s + 21] = dark.g; + cv[s + 22] = dark.b; + cv[s + 23] = dark.a; + cv[s + 24] = x3; + cv[s + 25] = y3; + cv[s + 26] = light.r; + cv[s + 27] = light.g; + cv[s + 28] = light.b; + cv[s + 29] = light.a; + cv[s + 30] = u3; + cv[s + 31] = v3; + cv[s + 32] = dark.r; + cv[s + 33] = dark.g; + cv[s + 34] = dark.b; + cv[s + 35] = dark.a; + } + s = clippedTriangles.length; + const ct = Utils.setArraySize(clippedTriangles, s + 3); + ct[s] = index; + ct[s + 1] = index + 1; + ct[s + 2] = index + 2; + index += 3; + break; + } + } + } + return clipOutputItems != null; + } + clipTrianglesUnpacked(vertices, vertexStart, triangles, trianglesLength, uvs, stride = 2) { + let clippedVertices = this._clippedVerticesTyped; + let clippedUVs = this._clippedUVsTyped; + let clippedTriangles = this._clippedTrianglesTyped; + let index = 0; + this.clippedVerticesLength = 0; + this.clippedUVsLength = 0; + this.clippedTrianglesLength = 0; + if (this.inverse) { + const polygon = this.clippingPolygons[0]; + for (let i = 0; i < trianglesLength; i += 3) { + let v = triangles[i] * stride; + const x1 = vertices[vertexStart + v], y1 = vertices[vertexStart + v + 1]; + let uv = triangles[i] << 1; + const u1 = uvs[uv], v1 = uvs[uv + 1]; + v = triangles[i + 1] * stride; + const x2 = vertices[vertexStart + v], y2 = vertices[vertexStart + v + 1]; + uv = triangles[i + 1] << 1; + const u2 = uvs[uv], v2 = uvs[uv + 1]; + v = triangles[i + 2] * stride; + const x3 = vertices[vertexStart + v], y3 = vertices[vertexStart + v + 1]; + uv = triangles[i + 2] << 1; + const u3 = uvs[uv], v3 = uvs[uv + 1]; + this.clipInverse(x1, y1, x2, y2, x3, y3, polygon); + const nn = this.inverseVertices.length; + if (nn === 0) continue; + const d0 = y2 - y3, d1 = x3 - x2, d2 = x1 - x3, d4 = y3 - y1, d = 1 / (d0 * d2 + d1 * (y1 - y3)); + const iv = this.inverseVertices; + for (let offset = 0; offset < nn; ) { + const polygonSize = iv[offset++]; + const vertexCount = polygonSize >> 1; + let s = this.clippedVerticesLength; + const newLength = s + vertexCount * stride; + const newUVLength = this.clippedUVsLength + vertexCount * 2; + if (clippedVertices.length < newLength) { + this._clippedVerticesTyped = new Float32Array(newLength * 2); + this._clippedVerticesTyped.set(clippedVertices.subarray(0, s)); + clippedVertices = this._clippedVerticesTyped; + } + if (clippedUVs.length < newUVLength) { + this._clippedUVsTyped = new Float32Array(newUVLength * 2); + this._clippedUVsTyped.set(clippedUVs.subarray(0, this.clippedUVsLength)); + clippedUVs = this._clippedUVsTyped; + } + this.clippedVerticesLength = newLength; + this.clippedUVsLength = newUVLength; + const cv = this._clippedVerticesTyped; + const cu = this._clippedUVsTyped; + let uvIndex = newUVLength - vertexCount * 2; + for (let ii = 0; ii < polygonSize; ii += 2, s += stride, uvIndex += 2) { + const x = iv[offset + ii], y = iv[offset + ii + 1]; + cv[s] = x; + cv[s + 1] = y; + const c0 = x - x3, c1 = y - y3, a = (d0 * c0 + d1 * c1) * d, b = (d4 * c0 + d2 * c1) * d, c = 1 - a - b; + cu[uvIndex] = u1 * a + u2 * b + u3 * c; + cu[uvIndex + 1] = v1 * a + v2 * b + v3 * c; + } + s = this.clippedTrianglesLength; + const newLengthTriangles = s + 3 * (vertexCount - 2); + if (clippedTriangles.length < newLengthTriangles) { + this._clippedTrianglesTyped = new Uint16Array(newLengthTriangles * 2); + this._clippedTrianglesTyped.set(clippedTriangles.subarray(0, s)); + clippedTriangles = this._clippedTrianglesTyped; + } + this.clippedTrianglesLength = newLengthTriangles; + const ct = clippedTriangles; + for (let ii = 1; ii < vertexCount - 1; ii++, s += 3) { + ct[s] = index; + ct[s + 1] = index + ii; + ct[s + 2] = index + ii + 1; + } + index += vertexCount; + offset += polygonSize; + } + } + this.clippedVerticesTyped = this._clippedVerticesTyped.subarray(0, this.clippedVerticesLength); + this.clippedUVsTyped = this._clippedUVsTyped.subarray(0, this.clippedUVsLength); + this.clippedTrianglesTyped = this._clippedTrianglesTyped.subarray(0, this.clippedTrianglesLength); + return true; + } + const clipOutput = this.clipOutput; + const polygons = this.clippingPolygons; + const polygonsCount = this.clippingPolygons.length; + let clipOutputItems = null; + for (let i = 0; i < trianglesLength; i += 3) { + let t = triangles[i]; + let v = t * stride; + const x1 = vertices[vertexStart + v], y1 = vertices[vertexStart + v + 1]; + let uv = t << 1; + const u1 = uvs[uv], v1 = uvs[uv + 1]; + t = triangles[i + 1]; + v = t * stride; + const x2 = vertices[vertexStart + v], y2 = vertices[vertexStart + v + 1]; + uv = t << 1; + const u2 = uvs[uv], v2 = uvs[uv + 1]; + t = triangles[i + 2]; + v = t * stride; + const x3 = vertices[vertexStart + v], y3 = vertices[vertexStart + v + 1]; + uv = t << 1; + const u3 = uvs[uv], v3 = uvs[uv + 1]; + let d0 = 0, d1 = 0, d2 = 0, d4 = 0, d = 0; + for (let p = 0; p < polygonsCount; p++) { + let s = this.clippedVerticesLength; + if (this.clip(x1, y1, x2, y2, x3, y3, polygons[p])) { + clipOutputItems = clipOutput; + const clipOutputLength = clipOutput.length; + if (clipOutputLength === 0) continue; + let clipOutputCount = clipOutputLength >> 1; + if (d === 0) { + d0 = y2 - y3; + d1 = x3 - x2; + d2 = x1 - x3; + d4 = y3 - y1; + d = 1 / (d0 * d2 - d1 * d4); + } + const newLength = s + clipOutputCount * stride; + if (clippedVertices.length < newLength) { + this._clippedVerticesTyped = new Float32Array(newLength * 2); + this._clippedVerticesTyped.set(clippedVertices.subarray(0, s)); + this._clippedUVsTyped = new Float32Array((this.clippedUVsLength + clipOutputCount * 2) * 2); + this._clippedUVsTyped.set(clippedUVs.subarray(0, this.clippedUVsLength)); + clippedVertices = this._clippedVerticesTyped; + clippedUVs = this._clippedUVsTyped; + } + const cv = clippedVertices; + const cu = clippedUVs; + this.clippedVerticesLength = newLength; + let uvIndex = this.clippedUVsLength; + this.clippedUVsLength = uvIndex + clipOutputCount * 2; + for (let ii = 0; ii < clipOutputLength; ii += 2, s += stride, uvIndex += 2) { + const x = clipOutputItems[ii], y = clipOutputItems[ii + 1]; + cv[s] = x; + cv[s + 1] = y; + const c0 = x - x3, c1 = y - y3, a = (d0 * c0 + d1 * c1) * d, b = (d4 * c0 + d2 * c1) * d, c = 1 - a - b; + cu[uvIndex] = u1 * a + u2 * b + u3 * c; + cu[uvIndex + 1] = v1 * a + v2 * b + v3 * c; + } + s = this.clippedTrianglesLength; + const newLengthTriangles = s + 3 * (clipOutputCount - 2); + if (clippedTriangles.length < newLengthTriangles) { + this._clippedTrianglesTyped = new Uint16Array(newLengthTriangles * 2); + this._clippedTrianglesTyped.set(clippedTriangles.subarray(0, s)); + clippedTriangles = this._clippedTrianglesTyped; + } + this.clippedTrianglesLength = newLengthTriangles; + const ct = clippedTriangles; + clipOutputCount--; + for (let ii = 1; ii < clipOutputCount; ii++, s += 3) { + ct[s] = index; + ct[s + 1] = index + ii; + ct[s + 2] = index + ii + 1; + } + index += clipOutputCount + 1; + } else { + let newLength = s + 3 * stride; + if (clippedVertices.length < newLength) { + this._clippedVerticesTyped = new Float32Array(newLength * 2); + this._clippedVerticesTyped.set(clippedVertices.subarray(0, s)); + clippedVertices = this._clippedVerticesTyped; + } + clippedVertices[s] = x1; + clippedVertices[s + 1] = y1; + clippedVertices[s + stride] = x2; + clippedVertices[s + stride + 1] = y2; + clippedVertices[s + stride * 2] = x3; + clippedVertices[s + stride * 2 + 1] = y3; + const uvLength = this.clippedUVsLength + 3 * 2; + if (clippedUVs.length < uvLength) { + this._clippedUVsTyped = new Float32Array(uvLength * 2); + this._clippedUVsTyped.set(clippedUVs.subarray(0, this.clippedUVsLength)); + clippedUVs = this._clippedUVsTyped; + } + const uvIndex = this.clippedUVsLength; + clippedUVs[uvIndex] = u1; + clippedUVs[uvIndex + 1] = v1; + clippedUVs[uvIndex + 2] = u2; + clippedUVs[uvIndex + 3] = v2; + clippedUVs[uvIndex + 4] = u3; + clippedUVs[uvIndex + 5] = v3; + this.clippedVerticesLength = newLength; + this.clippedUVsLength = uvLength; + s = this.clippedTrianglesLength; + newLength = s + 3; + if (clippedTriangles.length < newLength) { + this._clippedTrianglesTyped = new Uint16Array(newLength * 2); + this._clippedTrianglesTyped.set(clippedTriangles.subarray(0, s)); + clippedTriangles = this._clippedTrianglesTyped; + } + const ct = clippedTriangles; + ct[s] = index; + ct[s + 1] = index + 1; + ct[s + 2] = index + 2; + index += 3; + this.clippedTrianglesLength = newLength; + break; + } + } + } + this.clippedVerticesTyped = this._clippedVerticesTyped.subarray(0, this.clippedVerticesLength); + this.clippedUVsTyped = this._clippedUVsTyped.subarray(0, this.clippedUVsLength); + this.clippedTrianglesTyped = this._clippedTrianglesTyped.subarray(0, this.clippedTrianglesLength); + return clipOutputItems !== null; + } + clip(x1, y1, x2, y2, x3, y3, polygon) { + const originalOutput = this.clipOutput; + let clipped = false; + let input, output; + if (polygon.length % 4 >= 2) { + input = this.clipOutput; + output = this.scratch; + } else { + input = this.scratch; + output = this.clipOutput; + } + const v = polygon; + input.length = 8; + const iv = input; + iv[0] = x1; + iv[1] = y1; + iv[2] = x2; + iv[3] = y2; + iv[4] = x3; + iv[5] = y3; + iv[6] = x1; + iv[7] = y1; + output.length = 0; + const last = polygon.length - 4; + for (let i = 0; ; i += 2) { + const edgeX = v[i], edgeY = v[i + 1], ex = edgeX - v[i + 2], ey = edgeY - v[i + 3]; + const outputStart = output.length; + const iv2 = input; + x1 = iv2[0]; + y1 = iv2[1]; + let s1 = ey * (edgeX - x1) - ex * (edgeY - y1); + for (let ii = 2, nn = input.length - 2; ii <= nn; ii += 2) { + x2 = iv2[ii]; + y2 = iv2[ii + 1]; + const s2 = ey * (edgeX - x2) - ex * (edgeY - y2); + if (s1 > 0) { + if (s2 > 0) + output.push(x2, y2); + else { + const ix = x2 - x1, iy = y2 - y1, t = s1 / (ix * ey - iy * ex); + if (t >= 0 && t <= 1) { + output.push(x1 + ix * t, y1 + iy * t); + clipped = true; + } else + output.push(x2, y2); + } + } else if (s2 > 0) { + const ix = x2 - x1, iy = y2 - y1, t = s1 / (ix * ey - iy * ex); + if (t >= 0 && t <= 1) { + output.push(x1 + ix * t, y1 + iy * t, x2, y2); + clipped = true; + } else + output.push(x2, y2); + } else + clipped = true; + x1 = x2; + y1 = y2; + s1 = s2; + } + if (outputStart === output.length) { + originalOutput.length = 0; + return true; + } + output.push(output[0], output[1]); + if (i === last) break; + const temp = output; + output = input; + output.length = 0; + input = temp; + } + if (originalOutput !== output) { + originalOutput.length = 0; + for (let i = 0, n = output.length - 2; i < n; i++) + originalOutput[i] = output[i]; + } else + originalOutput.length = originalOutput.length - 2; + return clipped; + } + clipInverse(x1, y1, x2, y2, x3, y3, polygon) { + this.inverseVertices.length = 0; + const vLast = polygon.length - 4; + let input, output; + if (polygon.length % 4 >= 2) { + input = this.clipOutput; + output = this.scratch; + } else { + input = this.scratch; + output = this.clipOutput; + } + input.length = 8; + let v = polygon, iv = input; + iv[0] = x1; + iv[1] = y1; + iv[2] = x2; + iv[3] = y2; + iv[4] = x3; + iv[5] = y3; + iv[6] = x1; + iv[7] = y1; + output.length = 0; + for (let i = 0; ; i += 2) { + const edgeX = v[i], edgeY = v[i + 1], ex = edgeX - v[i + 2], ey = edgeY - v[i + 3]; + const outputStart = output.length, fragmentStart = this.inverseVertices.length; + this.inverseVertices.push(0); + iv = input; + x1 = iv[0]; + y1 = iv[1]; + let s1 = ey * (edgeX - x1) - ex * (edgeY - y1); + for (let ii = 2, nn = input.length - 2; ii <= nn; ii += 2) { + x2 = iv[ii]; + y2 = iv[ii + 1]; + const s2 = ey * (edgeX - x2) - ex * (edgeY - y2); + if (s1 > 0) { + if (s2 > 0) + output.push(x2, y2); + else { + const ix = x2 - x1, iy = y2 - y1, t = s1 / (ix * ey - iy * ex); + if (t >= 0 && t <= 1) { + const cx = x1 + ix * t, cy = y1 + iy * t; + output.push(cx, cy); + this.inverseVertices.push(cx, cy, x2, y2); + } else + output.push(x2, y2); + } + } else if (s2 > 0) { + const ix = x2 - x1, iy = y2 - y1, t = s1 / (ix * ey - iy * ex); + if (t >= 0 && t <= 1) { + const cx = x1 + ix * t, cy = y1 + iy * t; + this.inverseVertices.push(cx, cy); + output.push(cx, cy, x2, y2); + } else + output.push(x2, y2); + } else + this.inverseVertices.push(x2, y2); + x1 = x2; + y1 = y2; + s1 = s2; + } + const fragmentSize = this.inverseVertices.length - fragmentStart - 1; + if (fragmentSize >= 6) + this.inverseVertices[fragmentStart] = fragmentSize; + else + this.inverseVertices.length = fragmentStart; + if (outputStart === output.length) break; + output.push(output[0], output[1]); + if (i === vLast) break; + const temp = output; + output = input; + output.length = 0; + input = temp; + } + } + makeClockwise(polygon) { + const v = polygon; + const n = polygon.length; + let noCW = true, noCCW = true; + let area = 0, prevX = v[n - 2], prevY = v[n - 1], currX = v[0], currY = v[1]; + for (let i = 2; i < n; i += 2) { + const nextX = v[i], nextY = v[i + 1]; + area += currX * nextY - nextX * currY; + const cross2 = (currX - prevX) * (nextY - currY) - (currY - prevY) * (nextX - currX); + noCCW = noCCW && cross2 <= 0; + noCW = noCW && cross2 >= 0; + prevX = currX; + prevY = currY; + currX = nextX; + currY = nextY; + } + area += currX * v[1] - v[0] * currY; + const cross = (currX - prevX) * (v[1] - currY) - (currY - prevY) * (v[0] - currX); + noCCW = noCCW && cross <= 0; + noCW = noCW && cross >= 0; + if (area >= 0) { + for (let i = 0, lastX = n - 2, half = n >> 1; i < half; i += 2) { + const x = v[i], y = v[i + 1]; + const other = lastX - i; + v[i] = v[other]; + v[i + 1] = v[other + 1]; + v[other] = x; + v[other + 1] = y; + } + return noCW; + } + return noCCW; + } + makeConvex(polygon) { + const n = polygon.length; + const v = polygon; + this.clipOutput.length = n; + const sorted = this.clipOutput; + sorted[0] = v[0]; + sorted[1] = v[1]; + for (let i = 2; i < n; i += 2) { + const x = v[i], y = v[i + 1]; + let p = i - 2; + for (; p >= 0 && (sorted[p] > x || sorted[p] === x && sorted[p + 1] > y); p -= 2) { + sorted[p + 2] = sorted[p]; + sorted[p + 3] = sorted[p + 1]; + } + sorted[p + 2] = x; + sorted[p + 3] = y; + } + v[0] = sorted[0]; + v[1] = sorted[1]; + v[2] = sorted[2]; + v[3] = sorted[3]; + let s = 4; + for (let i = 4; i < n; i += 2, s += 2) { + const x = sorted[i], y = sorted[i + 1]; + while ((v[s - 2] - v[s - 4]) * (y - v[s - 3]) - (v[s - 1] - v[s - 3]) * (x - v[s - 4]) >= 0) { + s -= 2; + if (s === 2) break; + } + v[s] = x; + v[s + 1] = y; + } + v[s] = sorted[n - 4]; + v[s + 1] = sorted[n - 3]; + const t = s; + s += 2; + for (let i = n - 6; i >= 0; i -= 2, s += 2) { + const x = sorted[i], y = sorted[i + 1]; + while ((v[s - 2] - v[s - 4]) * (y - v[s - 3]) - (v[s - 1] - v[s - 3]) * (x - v[s - 4]) >= 0) { + s -= 2; + if (s === t) break; + } + v[s] = x; + v[s + 1] = y; + } + polygon.length = s - 2; + } + }; + + // spine-core/src/SkeletonJson.ts + var SkeletonJson = class { + attachmentLoader; + /** Scales bone positions, image sizes, and translations as they are loaded. This allows different size images to be used at + * runtime than were used in Spine. + * + * See [Scaling](http://esotericsoftware.com/spine-loading-skeleton-data#Scaling) in the Spine Runtimes Guide. */ + scale = 1; + linkedMeshes = []; + constructor(attachmentLoader) { + this.attachmentLoader = attachmentLoader; + } + // biome-ignore lint/suspicious/noExplicitAny: it is any until we define a schema + readSkeletonData(json) { + const scale = this.scale; + const skeletonData = new SkeletonData(); + const root = typeof json === "string" ? JSON.parse(json) : json; + const skeletonMap = root.skeleton; + if (skeletonMap) { + skeletonData.hash = skeletonMap.hash; + skeletonData.version = skeletonMap.spine; + skeletonData.x = skeletonMap.x; + skeletonData.y = skeletonMap.y; + skeletonData.width = skeletonMap.width; + skeletonData.height = skeletonMap.height; + skeletonData.referenceScale = getValue(skeletonMap, "referenceScale", 100) * scale; + skeletonData.fps = skeletonMap.fps; + skeletonData.imagesPath = skeletonMap.images ?? null; + skeletonData.audioPath = skeletonMap.audio ?? null; + } + if (root.bones) { + for (let i = 0; i < root.bones.length; i++) { + const boneMap = root.bones[i]; + let parent = null; + const parentName = getValue(boneMap, "parent", null); + if (parentName) parent = skeletonData.findBone(parentName); + const data = new BoneData(skeletonData.bones.length, boneMap.name, parent); + data.length = getValue(boneMap, "length", 0) * scale; + const setup = data.setupPose; + setup.x = getValue(boneMap, "x", 0) * scale; + setup.y = getValue(boneMap, "y", 0) * scale; + setup.rotation = getValue(boneMap, "rotation", 0); + setup.scaleX = getValue(boneMap, "scaleX", 1); + setup.scaleY = getValue(boneMap, "scaleY", 1); + setup.shearX = getValue(boneMap, "shearX", 0); + setup.shearY = getValue(boneMap, "shearY", 0); + setup.inherit = Utils.enumValue(Inherit, getValue(boneMap, "inherit", "Normal")); + data.skinRequired = getValue(boneMap, "skin", false); + const color = getValue(boneMap, "color", null); + if (color) data.color.setFromString(color); + data.icon = getValue(boneMap, "icon", void 0); + data.iconSize = getValue(boneMap, "iconSize", 1); + data.iconRotation = getValue(boneMap, "iconRotation", 0); + skeletonData.bones.push(data); + } + } + if (root.slots) { + for (let i = 0; i < root.slots.length; i++) { + const slotMap = root.slots[i]; + const slotName = slotMap.name; + const boneData = skeletonData.findBone(slotMap.bone); + if (!boneData) throw new Error(`Couldn't find bone ${slotMap.bone} for slot ${slotName}`); + const data = new SlotData(skeletonData.slots.length, slotName, boneData); + const color = getValue(slotMap, "color", null); + if (color) data.setupPose.color.setFromString(color); + const dark = getValue(slotMap, "dark", null); + if (dark) data.setupPose.darkColor = Color.fromString(dark); + data.attachmentName = getValue(slotMap, "attachment", null); + data.blendMode = Utils.enumValue(BlendMode, getValue(slotMap, "blend", "normal")); + data.visible = getValue(slotMap, "visible", true); + skeletonData.slots.push(data); + } + } + if (root.constraints) { + for (const constraintMap of root.constraints) { + const name = constraintMap.name; + const skinRequired = getValue(constraintMap, "skin", false); + switch (getValue(constraintMap, "type", false)) { + case "ik": { + const data = new IkConstraintData(name); + data.skinRequired = skinRequired; + for (let ii = 0; ii < constraintMap.bones.length; ii++) { + const bone = skeletonData.findBone(constraintMap.bones[ii]); + if (!bone) throw new Error(`Couldn't find bone ${constraintMap.bones[ii]} for IK constraint ${name}.`); + data.bones.push(bone); + } + const targetName = constraintMap.target; + const target = skeletonData.findBone(targetName); + if (!target) throw new Error(`Couldn't find target bone ${targetName} for IK constraint ${name}.`); + data.target = target; + const scaleY = getValue(constraintMap, "scaleY", null); + if (scaleY != null) data.scaleYMode = Utils.enumValue(ScaleYMode, scaleY); + const setup = data.setupPose; + setup.mix = getValue(constraintMap, "mix", 1); + setup.softness = getValue(constraintMap, "softness", 0) * scale; + setup.bendDirection = getValue(constraintMap, "bendPositive", true) ? 1 : -1; + setup.compress = getValue(constraintMap, "compress", false); + setup.stretch = getValue(constraintMap, "stretch", false); + skeletonData.constraints.push(data); + break; + } + case "transform": { + const data = new TransformConstraintData(name); + data.skinRequired = skinRequired; + for (let ii = 0; ii < constraintMap.bones.length; ii++) { + const boneName = constraintMap.bones[ii]; + const bone = skeletonData.findBone(boneName); + if (!bone) throw new Error(`Couldn't find bone ${boneName} for transform constraint ${constraintMap.name}.`); + data.bones.push(bone); + } + const sourceName = constraintMap.source; + const source = skeletonData.findBone(sourceName); + if (!source) throw new Error(`Couldn't find source bone ${sourceName} for transform constraint ${constraintMap.name}.`); + data.source = source; + data.localSource = getValue(constraintMap, "localSource", false); + data.localTarget = getValue(constraintMap, "localTarget", false); + data.additive = getValue(constraintMap, "additive", false); + data.clamp = getValue(constraintMap, "clamp", false); + let rotate = false, x = false, y = false, scaleX = false, scaleY = false, shearY = false; + const fromEntries = Object.entries(getValue(constraintMap, "properties", {})); + for (const [name2, fromEntry] of fromEntries) { + const from = this.fromProperty(name2); + const fromScale = this.propertyScale(name2, scale); + from.offset = getValue(fromEntry, "offset", 0) * fromScale; + const toEntries = Object.entries(getValue(fromEntry, "to", {})); + for (const [name3, toEntry] of toEntries) { + let toScale = 1; + let to; + switch (name3) { + case "rotate": { + rotate = true; + to = new ToRotate(); + break; + } + case "x": { + x = true; + to = new ToX(); + toScale = scale; + break; + } + case "y": { + y = true; + to = new ToY(); + toScale = scale; + break; + } + case "scaleX": { + scaleX = true; + to = new ToScaleX(); + break; + } + case "scaleY": { + scaleY = true; + to = new ToScaleY(); + break; + } + case "shearY": { + shearY = true; + to = new ToShearY(); + break; + } + default: + throw new Error(`Invalid transform constraint to property: ${name3}`); + } + to.offset = getValue(toEntry, "offset", 0) * toScale; + to.max = getValue(toEntry, "max", 1) * toScale; + to.scale = getValue(toEntry, "scale", 1) * toScale / fromScale; + from.to.push(to); + } + if (from.to.length > 0) data.properties.push(from); + } + data.offsets[TransformConstraintData.ROTATION] = getValue(constraintMap, "rotation", 0); + data.offsets[TransformConstraintData.X] = getValue(constraintMap, "x", 0) * scale; + data.offsets[TransformConstraintData.Y] = getValue(constraintMap, "y", 0) * scale; + data.offsets[TransformConstraintData.SCALEX] = getValue(constraintMap, "scaleX", 0); + data.offsets[TransformConstraintData.SCALEY] = getValue(constraintMap, "scaleY", 0); + data.offsets[TransformConstraintData.SHEARY] = getValue(constraintMap, "shearY", 0); + const setup = data.setupPose; + if (rotate) setup.mixRotate = getValue(constraintMap, "mixRotate", 1); + if (x) setup.mixX = getValue(constraintMap, "mixX", 1); + if (y) setup.mixY = getValue(constraintMap, "mixY", setup.mixX); + if (scaleX) setup.mixScaleX = getValue(constraintMap, "mixScaleX", 1); + if (scaleY) setup.mixScaleY = getValue(constraintMap, "mixScaleY", setup.mixScaleX); + if (shearY) setup.mixShearY = getValue(constraintMap, "mixShearY", 1); + skeletonData.constraints.push(data); + break; + } + case "path": { + const data = new PathConstraintData(name); + data.skinRequired = skinRequired; + for (let ii = 0; ii < constraintMap.bones.length; ii++) { + const boneName = constraintMap.bones[ii]; + const bone = skeletonData.findBone(boneName); + if (!bone) throw new Error(`Couldn't find bone ${boneName} for path constraint ${constraintMap.name}.`); + data.bones.push(bone); + } + const slotName = constraintMap.slot; + const slot = skeletonData.findSlot(slotName); + if (!slot) throw new Error(`Couldn't find slot ${slotName} for path constraint ${constraintMap.name}.`); + data.slot = slot; + data.positionMode = Utils.enumValue(PositionMode, getValue(constraintMap, "positionMode", "Percent")); + data.spacingMode = Utils.enumValue(SpacingMode, getValue(constraintMap, "spacingMode", "Length")); + data.rotateMode = Utils.enumValue(RotateMode, getValue(constraintMap, "rotateMode", "Tangent")); + data.offsetRotation = getValue(constraintMap, "rotation", 0); + const setup = data.setupPose; + setup.position = getValue(constraintMap, "position", 0); + if (data.positionMode === 0 /* Fixed */) setup.position *= scale; + setup.spacing = getValue(constraintMap, "spacing", 0); + if (data.spacingMode === 0 /* Length */ || data.spacingMode === 1 /* Fixed */) setup.spacing *= scale; + setup.mixRotate = getValue(constraintMap, "mixRotate", 1); + setup.mixX = getValue(constraintMap, "mixX", 1); + setup.mixY = getValue(constraintMap, "mixY", setup.mixX); + skeletonData.constraints.push(data); + break; + } + case "physics": { + const data = new PhysicsConstraintData(name); + data.skinRequired = skinRequired; + const boneName = constraintMap.bone; + const bone = skeletonData.findBone(boneName); + if (bone == null) throw new Error(`Physics bone not found: ${boneName}`); + data.bone = bone; + data.x = getValue(constraintMap, "x", 0); + data.y = getValue(constraintMap, "y", 0); + data.rotate = getValue(constraintMap, "rotate", 0); + data.scaleX = getValue(constraintMap, "scaleX", 0); + const scaleY = getValue(constraintMap, "scaleY", null); + if (scaleY != null) data.scaleYMode = Utils.enumValue(ScaleYMode, scaleY); + data.shearX = getValue(constraintMap, "shearX", 0); + data.limit = getValue(constraintMap, "limit", 5e3) * scale; + data.step = 1 / getValue(constraintMap, "fps", 60); + const setup = data.setupPose; + setup.inertia = getValue(constraintMap, "inertia", 0.5); + setup.strength = getValue(constraintMap, "strength", 100); + setup.damping = getValue(constraintMap, "damping", 0.85); + setup.massInverse = 1 / getValue(constraintMap, "mass", 1); + setup.wind = getValue(constraintMap, "wind", 0); + setup.gravity = getValue(constraintMap, "gravity", 0); + setup.mix = getValue(constraintMap, "mix", 1); + data.inertiaGlobal = getValue(constraintMap, "inertiaGlobal", false); + data.strengthGlobal = getValue(constraintMap, "strengthGlobal", false); + data.dampingGlobal = getValue(constraintMap, "dampingGlobal", false); + data.massGlobal = getValue(constraintMap, "massGlobal", false); + data.windGlobal = getValue(constraintMap, "windGlobal", false); + data.gravityGlobal = getValue(constraintMap, "gravityGlobal", false); + data.mixGlobal = getValue(constraintMap, "mixGlobal", false); + skeletonData.constraints.push(data); + break; + } + case "slider": { + const data = new SliderData(name); + data.skinRequired = skinRequired; + data.additive = getValue(constraintMap, "additive", false); + data.loop = getValue(constraintMap, "loop", false); + data.setupPose.mix = getValue(constraintMap, "mix", 1); + const boneName = constraintMap.bone; + if (boneName) { + data.bone = skeletonData.findBone(boneName); + if (!data.bone) throw new Error(`Slider bone not found: ${boneName}`); + const property = constraintMap.property; + data.property = this.fromProperty(property); + const propertyScale = this.propertyScale(property, scale); + data.property.offset = getValue(constraintMap, "from", 0) * propertyScale; + data.offset = getValue(constraintMap, "to", 0); + data.scale = getValue(constraintMap, "scale", 1) / propertyScale; + data.max = getValue(constraintMap, "max", 0); + data.local = getValue(constraintMap, "local", false); + } else + data.setupPose.time = getValue(constraintMap, "time", 0); + skeletonData.constraints.push(data); + break; + } + } + } + } + if (root.skins) { + for (let i = 0; i < root.skins.length; i++) { + const skinMap = root.skins[i]; + const skin = new Skin(skinMap.name); + if (skinMap.bones) { + for (let ii = 0; ii < skinMap.bones.length; ii++) { + const boneName = skinMap.bones[ii]; + const bone = skeletonData.findBone(boneName); + if (!bone) throw new Error(`Couldn't find bone ${boneName} for skin ${skinMap.name}.`); + skin.bones.push(bone); + } + } + if (skinMap.ik) { + for (let ii = 0; ii < skinMap.ik.length; ii++) { + const constraintName = skinMap.ik[ii]; + const constraint = skeletonData.findConstraint(constraintName, IkConstraintData); + if (!constraint) throw new Error(`Couldn't find IK constraint ${constraintName} for skin ${skinMap.name}.`); + skin.constraints.push(constraint); + } + } + if (skinMap.transform) { + for (let ii = 0; ii < skinMap.transform.length; ii++) { + const constraintName = skinMap.transform[ii]; + const constraint = skeletonData.findConstraint(constraintName, TransformConstraintData); + if (!constraint) throw new Error(`Couldn't find transform constraint ${constraintName} for skin ${skinMap.name}.`); + skin.constraints.push(constraint); + } + } + if (skinMap.path) { + for (let ii = 0; ii < skinMap.path.length; ii++) { + const constraintName = skinMap.path[ii]; + const constraint = skeletonData.findConstraint(constraintName, PathConstraintData); + if (!constraint) throw new Error(`Couldn't find path constraint ${constraintName} for skin ${skinMap.name}.`); + skin.constraints.push(constraint); + } + } + if (skinMap.physics) { + for (let ii = 0; ii < skinMap.physics.length; ii++) { + const constraintName = skinMap.physics[ii]; + const constraint = skeletonData.findConstraint(constraintName, PhysicsConstraintData); + if (!constraint) throw new Error(`Couldn't find physics constraint ${constraintName} for skin ${skinMap.name}.`); + skin.constraints.push(constraint); + } + } + if (skinMap.slider) { + for (let ii = 0; ii < skinMap.slider.length; ii++) { + const constraintName = skinMap.slider[ii]; + const constraint = skeletonData.findConstraint(constraintName, SliderData); + if (!constraint) throw new Error(`Couldn't find slider constraint ${constraintName} for skin ${skinMap.name}.`); + skin.constraints.push(constraint); + } + } + for (const slotName in skinMap.attachments) { + const slot = skeletonData.findSlot(slotName); + if (!slot) throw new Error(`Couldn't find skin slot ${slotName} for skin ${skinMap.name}.`); + const slotMap = skinMap.attachments[slotName]; + for (const entryName in slotMap) { + const attachment = this.readAttachment(slotMap[entryName], skin, slot.index, entryName, skeletonData); + if (attachment) skin.setAttachment(slot.index, entryName, attachment); + } + } + skeletonData.skins.push(skin); + if (skin.name === "default") skeletonData.defaultSkin = skin; + } + } + for (let i = 0, n = this.linkedMeshes.length; i < n; i++) { + const linkedMesh = this.linkedMeshes[i]; + const skin = !linkedMesh.skin ? skeletonData.defaultSkin : skeletonData.findSkin(linkedMesh.skin); + if (!skin) throw new Error(`Skin not found: ${linkedMesh.skin}`); + const source = skin.getAttachment(linkedMesh.sourceIndex, linkedMesh.source); + if (!source) throw new Error(`Source mesh not found: ${linkedMesh.source}`); + linkedMesh.mesh.timelineAttachment = linkedMesh.inheritTimelines ? source : linkedMesh.mesh; + linkedMesh.mesh.setSourceMesh(source); + linkedMesh.mesh.updateSequence(); + outer: + if (linkedMesh.inheritTimelines && linkedMesh.slotIndex !== linkedMesh.sourceIndex) { + const slots = source.timelineSlots; + for (const existing of slots) + if (existing === linkedMesh.slotIndex) break outer; + const newSlots = [...slots]; + newSlots[slots.length] = linkedMesh.slotIndex; + source.timelineSlots = newSlots; + } + } + this.linkedMeshes.length = 0; + if (root.events) { + for (const eventName in root.events) { + const eventMap = root.events[eventName]; + const data = new EventData(eventName); + const setup = data.setupPose; + setup.intValue = getValue(eventMap, "int", 0); + setup.floatValue = getValue(eventMap, "float", 0); + setup.stringValue = getValue(eventMap, "string", ""); + data._audioPath = getValue(eventMap, "audio", null); + if (data.audioPath) { + setup.volume = getValue(eventMap, "volume", setup.volume); + setup.balance = getValue(eventMap, "balance", setup.balance); + } + skeletonData.events.push(data); + } + } + if (root.animations) { + for (const animationName in root.animations) { + const animationMap = root.animations[animationName]; + this.readAnimation(animationMap, animationName, skeletonData); + } + } + if (root.constraints) { + for (const animationName in root.constraints) { + const animationMap = root.constraints[animationName]; + if (animationMap.type === "slider") { + const data = skeletonData.findConstraint(animationMap.name, SliderData); + const animationName2 = animationMap.animation; + const animation = skeletonData.findAnimation(animationName2); + if (!animation) throw new Error(`Slider animation not found: ${animationName2}`); + data.animation = animation; + } + } + } + return skeletonData; + } + fromProperty(type) { + let from; + switch (type) { + case "rotate": + from = new FromRotate(); + break; + case "x": + from = new FromX(); + break; + case "y": + from = new FromY(); + break; + case "scaleX": + from = new FromScaleX(); + break; + case "scaleY": + from = new FromScaleY(); + break; + case "shearY": + from = new FromShearY(); + break; + default: + throw new Error(`Invalid transform constraint from property: ${type}`); + } + return from; + } + propertyScale(type, scale) { + switch (type) { + case "x": + case "y": + return scale; + default: + return 1; + } + } + // biome-ignore lint/suspicious/noExplicitAny: it is any until we define a schema + readAttachment(map, skin, slotIndex, placeholder, skeletonData) { + const scale = this.scale; + const name = getValue(map, "name", placeholder); + switch (getValue(map, "type", "region")) { + case "region": { + const path = getValue(map, "path", name); + const sequence = this.readSequence(getValue(map, "sequence", null)); + const region = this.attachmentLoader.newRegionAttachment(skin, placeholder, name, path, sequence); + if (!region) return null; + region.path = path; + region.x = getValue(map, "x", 0) * scale; + region.y = getValue(map, "y", 0) * scale; + region.scaleX = getValue(map, "scaleX", 1); + region.scaleY = getValue(map, "scaleY", 1); + region.rotation = getValue(map, "rotation", 0); + region.width = map.width * scale; + region.height = map.height * scale; + const color = getValue(map, "color", null); + if (color) region.color.setFromString(color); + region.updateSequence(); + return region; + } + case "boundingbox": { + const box = this.attachmentLoader.newBoundingBoxAttachment(skin, placeholder, name); + if (!box) return null; + this.readVertices(map, box, map.vertexCount << 1); + const color = getValue(map, "color", null); + if (color) box.color.setFromString(color); + return box; + } + case "mesh": + case "linkedmesh": { + const path = getValue(map, "path", name); + const sequence = this.readSequence(getValue(map, "sequence", null)); + const mesh = this.attachmentLoader.newMeshAttachment(skin, placeholder, name, path, sequence); + if (!mesh) return null; + mesh.path = path; + const color = getValue(map, "color", null); + if (color) mesh.color.setFromString(color); + mesh.width = getValue(map, "width", 0) * scale; + mesh.height = getValue(map, "height", 0) * scale; + const source = getValue(map, "source", null); + if (source) { + let sourceIndex = slotIndex; + const slot = getValue(map, "slot", null); + if (slot) { + const sourceSlot = skeletonData.findSlot(slot); + if (!sourceSlot) throw new Error(`Source mesh slot not found: ${slot}`); + sourceIndex = sourceSlot.index; + } + this.linkedMeshes.push(new LinkedMesh2( + mesh, + getValue(map, "skin", null), + slotIndex, + sourceIndex, + source, + getValue(map, "timelines", true) + )); + return mesh; + } + const uvs = map.uvs; + this.readVertices(map, mesh, uvs.length); + mesh.triangles = map.triangles; + mesh.regionUVs = uvs; + mesh.edges = getValue(map, "edges", null); + mesh.hullLength = getValue(map, "hull", 0) * 2; + mesh.updateSequence(); + return mesh; + } + case "path": { + const path = this.attachmentLoader.newPathAttachment(skin, placeholder, name); + if (!path) return null; + path.closed = getValue(map, "closed", false); + path.constantSpeed = getValue(map, "constantSpeed", true); + const vertexCount = map.vertexCount; + this.readVertices(map, path, vertexCount << 1); + const lengths = Utils.newArray(vertexCount / 3, 0); + for (let i = 0; i < map.lengths.length; i++) + lengths[i] = map.lengths[i] * scale; + path.lengths = lengths; + const color = getValue(map, "color", null); + if (color) path.color.setFromString(color); + return path; + } + case "point": { + const point = this.attachmentLoader.newPointAttachment(skin, placeholder, name); + if (!point) return null; + point.x = getValue(map, "x", 0) * scale; + point.y = getValue(map, "y", 0) * scale; + point.rotation = getValue(map, "rotation", 0); + const color = getValue(map, "color", null); + if (color) point.color.setFromString(color); + return point; + } + case "clipping": { + const clip = this.attachmentLoader.newClippingAttachment(skin, placeholder, name); + if (!clip) return null; + const end = getValue(map, "end", null); + if (end) clip.endSlot = skeletonData.findSlot(end); + clip.convex = getValue(map, "convex", false); + clip.inverse = getValue(map, "inverse", false); + const vertexCount = map.vertexCount; + this.readVertices(map, clip, vertexCount << 1); + const color = getValue(map, "color", null); + if (color) clip.color.setFromString(color); + return clip; + } + } + return null; + } + readSequence(map) { + if (map == null) return new Sequence(1, false); + const sequence = new Sequence(getValue(map, "count", 0), true); + sequence.start = getValue(map, "start", 1); + sequence.digits = getValue(map, "digits", 0); + sequence.setupIndex = getValue(map, "setup", 0); + return sequence; + } + // biome-ignore lint/suspicious/noExplicitAny: it is any until we define a schema + readVertices(map, attachment, verticesLength) { + const scale = this.scale; + attachment.worldVerticesLength = verticesLength; + const vertices = map.vertices; + if (verticesLength === vertices.length) { + const scaledVertices = Utils.toFloatArray(vertices); + if (scale !== 1) { + for (let i = 0, n = vertices.length; i < n; i++) + scaledVertices[i] *= scale; + } + attachment.vertices = scaledVertices; + return; + } + const weights = []; + const bones = []; + for (let i = 0, n = vertices.length; i < n; ) { + const boneCount = vertices[i++]; + bones.push(boneCount); + for (let nn = i + boneCount * 4; i < nn; i += 4) { + bones.push(vertices[i]); + weights.push(vertices[i + 1] * scale); + weights.push(vertices[i + 2] * scale); + weights.push(vertices[i + 3]); + } + } + attachment.bones = bones; + attachment.vertices = Utils.toFloatArray(weights); + } + // biome-ignore lint/suspicious/noExplicitAny: it is any untile we define a schema + readAnimation(map, name, skeletonData) { + const scale = this.scale; + const timelines = []; + if (map.slots) { + for (const slotName in map.slots) { + const slotMap = map.slots[slotName]; + const slot = skeletonData.findSlot(slotName); + if (!slot) throw new Error(`Slot not found: ${slotName}`); + const slotIndex = slot.index; + for (const timelineName in slotMap) { + const timelineMap = slotMap[timelineName]; + if (!timelineMap) continue; + const frames = timelineMap.length; + switch (timelineName) { + case "attachment": { + const timeline = new AttachmentTimeline(frames, slotIndex); + for (let frame = 0; frame < frames; frame++) { + const keyMap = timelineMap[frame]; + timeline.setFrame(frame, getValue(keyMap, "time", 0), getValue(keyMap, "name", null)); + } + timelines.push(timeline); + break; + } + case "rgba": { + const timeline = new RGBATimeline(frames, frames << 2, slotIndex); + let keyMap = timelineMap[0]; + let time = getValue(keyMap, "time", 0); + let color2 = Color.fromString(keyMap.color); + for (let frame = 0, bezier = 0; ; frame++) { + timeline.setFrame(frame, time, color2.r, color2.g, color2.b, color2.a); + const nextMap = timelineMap[frame + 1]; + if (!nextMap) { + timeline.shrink(bezier); + break; + } + const time2 = getValue(nextMap, "time", 0); + const newColor = Color.fromString(nextMap.color); + const curve = keyMap.curve; + if (curve) { + bezier = readCurve(curve, timeline, bezier, frame, 0, time, time2, color2.r, newColor.r, 1); + bezier = readCurve(curve, timeline, bezier, frame, 1, time, time2, color2.g, newColor.g, 1); + bezier = readCurve(curve, timeline, bezier, frame, 2, time, time2, color2.b, newColor.b, 1); + bezier = readCurve(curve, timeline, bezier, frame, 3, time, time2, color2.a, newColor.a, 1); + } + time = time2; + color2 = newColor; + keyMap = nextMap; + } + timelines.push(timeline); + break; + } + case "rgb": { + const timeline = new RGBTimeline(frames, frames * 3, slotIndex); + let keyMap = timelineMap[0]; + let time = getValue(keyMap, "time", 0); + let color2 = Color.fromString(keyMap.color); + for (let frame = 0, bezier = 0; ; frame++) { + timeline.setFrame(frame, time, color2.r, color2.g, color2.b); + const nextMap = timelineMap[frame + 1]; + if (!nextMap) { + timeline.shrink(bezier); + break; + } + const time2 = getValue(nextMap, "time", 0); + const newColor = Color.fromString(nextMap.color); + const curve = keyMap.curve; + if (curve) { + bezier = readCurve(curve, timeline, bezier, frame, 0, time, time2, color2.r, newColor.r, 1); + bezier = readCurve(curve, timeline, bezier, frame, 1, time, time2, color2.g, newColor.g, 1); + bezier = readCurve(curve, timeline, bezier, frame, 2, time, time2, color2.b, newColor.b, 1); + } + time = time2; + color2 = newColor; + keyMap = nextMap; + } + timelines.push(timeline); + break; + } + case "alpha": { + readTimeline12(timelines, timelineMap, new AlphaTimeline(frames, frames, slotIndex), 0, 1); + break; + } + case "rgba2": { + const timeline = new RGBA2Timeline(frames, frames * 7, slotIndex); + let keyMap = timelineMap[0]; + let time = getValue(keyMap, "time", 0); + let color2 = Color.fromString(keyMap.light); + let color22 = Color.fromString(keyMap.dark); + for (let frame = 0, bezier = 0; ; frame++) { + timeline.setFrame(frame, time, color2.r, color2.g, color2.b, color2.a, color22.r, color22.g, color22.b); + const nextMap = timelineMap[frame + 1]; + if (!nextMap) { + timeline.shrink(bezier); + break; + } + const time2 = getValue(nextMap, "time", 0); + const newColor = Color.fromString(nextMap.light); + const newColor2 = Color.fromString(nextMap.dark); + const curve = keyMap.curve; + if (curve) { + bezier = readCurve(curve, timeline, bezier, frame, 0, time, time2, color2.r, newColor.r, 1); + bezier = readCurve(curve, timeline, bezier, frame, 1, time, time2, color2.g, newColor.g, 1); + bezier = readCurve(curve, timeline, bezier, frame, 2, time, time2, color2.b, newColor.b, 1); + bezier = readCurve(curve, timeline, bezier, frame, 3, time, time2, color2.a, newColor.a, 1); + bezier = readCurve(curve, timeline, bezier, frame, 4, time, time2, color22.r, newColor2.r, 1); + bezier = readCurve(curve, timeline, bezier, frame, 5, time, time2, color22.g, newColor2.g, 1); + bezier = readCurve(curve, timeline, bezier, frame, 6, time, time2, color22.b, newColor2.b, 1); + } + time = time2; + color2 = newColor; + color22 = newColor2; + keyMap = nextMap; + } + timelines.push(timeline); + break; + } + case "rgb2": { + const timeline = new RGB2Timeline(frames, frames * 6, slotIndex); + let keyMap = timelineMap[0]; + let time = getValue(keyMap, "time", 0); + let color2 = Color.fromString(keyMap.light); + let color22 = Color.fromString(keyMap.dark); + for (let frame = 0, bezier = 0; ; frame++) { + timeline.setFrame(frame, time, color2.r, color2.g, color2.b, color22.r, color22.g, color22.b); + const nextMap = timelineMap[frame + 1]; + if (!nextMap) { + timeline.shrink(bezier); + break; + } + const time2 = getValue(nextMap, "time", 0); + const newColor = Color.fromString(nextMap.light); + const newColor2 = Color.fromString(nextMap.dark); + const curve = keyMap.curve; + if (curve) { + bezier = readCurve(curve, timeline, bezier, frame, 0, time, time2, color2.r, newColor.r, 1); + bezier = readCurve(curve, timeline, bezier, frame, 1, time, time2, color2.g, newColor.g, 1); + bezier = readCurve(curve, timeline, bezier, frame, 2, time, time2, color2.b, newColor.b, 1); + bezier = readCurve(curve, timeline, bezier, frame, 3, time, time2, color22.r, newColor2.r, 1); + bezier = readCurve(curve, timeline, bezier, frame, 4, time, time2, color22.g, newColor2.g, 1); + bezier = readCurve(curve, timeline, bezier, frame, 5, time, time2, color22.b, newColor2.b, 1); + } + time = time2; + color2 = newColor; + color22 = newColor2; + keyMap = nextMap; + } + timelines.push(timeline); + break; + } + default: + throw new Error(`Invalid timeline type for a slot: ${timelineMap.name} (${slotMap.name})`); + } + } + } + } + if (map.bones) { + for (const boneName in map.bones) { + const boneMap = map.bones[boneName]; + const bone = skeletonData.findBone(boneName); + if (!bone) throw new Error(`Bone not found: ${boneName}`); + const boneIndex = bone.index; + for (const timelineName in boneMap) { + const timelineMap = boneMap[timelineName]; + const frames = timelineMap.length; + if (frames === 0) continue; + switch (timelineName) { + case "rotate": + readTimeline12(timelines, timelineMap, new RotateTimeline(frames, frames, boneIndex), 0, 1); + break; + case "translate": + readTimeline22(timelines, timelineMap, new TranslateTimeline(frames, frames << 1, boneIndex), "x", "y", 0, scale); + break; + case "translatex": + readTimeline12(timelines, timelineMap, new TranslateXTimeline(frames, frames, boneIndex), 0, scale); + break; + case "translatey": + readTimeline12(timelines, timelineMap, new TranslateYTimeline(frames, frames, boneIndex), 0, scale); + break; + case "scale": + readTimeline22(timelines, timelineMap, new ScaleTimeline(frames, frames << 1, boneIndex), "x", "y", 1, 1); + break; + case "scalex": + readTimeline12(timelines, timelineMap, new ScaleXTimeline(frames, frames, boneIndex), 1, 1); + break; + case "scaley": + readTimeline12(timelines, timelineMap, new ScaleYTimeline(frames, frames, boneIndex), 1, 1); + break; + case "shear": + readTimeline22(timelines, timelineMap, new ShearTimeline(frames, frames << 1, boneIndex), "x", "y", 0, 1); + break; + case "shearx": + readTimeline12(timelines, timelineMap, new ShearXTimeline(frames, frames, boneIndex), 0, 1); + break; + case "sheary": + readTimeline12(timelines, timelineMap, new ShearYTimeline(frames, frames, boneIndex), 0, 1); + break; + case "inherit": { + const timeline = new InheritTimeline(frames, bone.index); + for (let frame = 0; frame < timelineMap.length; frame++) { + const aFrame = timelineMap[frame]; + timeline.setFrame(frame, getValue(aFrame, "time", 0), Utils.enumValue(Inherit, getValue(aFrame, "inherit", "Normal"))); + } + timelines.push(timeline); + break; + } + default: + throw new Error(`Invalid timeline type for a bone: ${timelineMap.name} (${boneMap.name})`); + } + } + } + } + if (map.ik) { + for (const constraintName in map.ik) { + const constraintMap = map.ik[constraintName]; + let keyMap = constraintMap[0]; + if (!keyMap) continue; + const constraint = skeletonData.findConstraint(constraintName, IkConstraintData); + if (!constraint) throw new Error(`IK Constraint not found: ${constraintName}`); + const timeline = new IkConstraintTimeline( + constraintMap.length, + constraintMap.length << 1, + skeletonData.constraints.indexOf(constraint) + ); + let time = getValue(keyMap, "time", 0); + let mix = getValue(keyMap, "mix", 1); + let softness = getValue(keyMap, "softness", 0) * scale; + for (let frame = 0, bezier = 0; ; frame++) { + timeline.setFrame(frame, time, mix, softness, getValue(keyMap, "bendPositive", true) ? 1 : -1, getValue(keyMap, "compress", false), getValue(keyMap, "stretch", false)); + const nextMap = constraintMap[frame + 1]; + if (!nextMap) { + timeline.shrink(bezier); + break; + } + const time2 = getValue(nextMap, "time", 0); + const mix2 = getValue(nextMap, "mix", 1); + const softness2 = getValue(nextMap, "softness", 0) * scale; + const curve = keyMap.curve; + if (curve) { + bezier = readCurve(curve, timeline, bezier, frame, 0, time, time2, mix, mix2, 1); + bezier = readCurve(curve, timeline, bezier, frame, 1, time, time2, softness, softness2, scale); + } + time = time2; + mix = mix2; + softness = softness2; + keyMap = nextMap; + } + timelines.push(timeline); + } + } + if (map.transform) { + for (const constraintName in map.transform) { + const timelineMap = map.transform[constraintName]; + let keyMap = timelineMap[0]; + if (!keyMap) continue; + const constraint = skeletonData.findConstraint(constraintName, TransformConstraintData); + if (!constraint) throw new Error(`Transform constraint not found: ${constraintName}`); + const timeline = new TransformConstraintTimeline( + timelineMap.length, + timelineMap.length * 6, + skeletonData.constraints.indexOf(constraint) + ); + let time = getValue(keyMap, "time", 0); + let mixRotate = getValue(keyMap, "mixRotate", 1); + let mixX = getValue(keyMap, "mixX", 1), mixY = getValue(keyMap, "mixY", mixX); + let mixScaleX = getValue(keyMap, "mixScaleX", 1), mixScaleY = getValue(keyMap, "mixScaleY", 1); + let mixShearY = getValue(keyMap, "mixShearY", 1); + for (let frame = 0, bezier = 0; ; frame++) { + timeline.setFrame(frame, time, mixRotate, mixX, mixY, mixScaleX, mixScaleY, mixShearY); + const nextMap = timelineMap[frame + 1]; + if (!nextMap) { + timeline.shrink(bezier); + break; + } + const time2 = getValue(nextMap, "time", 0); + const mixRotate2 = getValue(nextMap, "mixRotate", 1); + const mixX2 = getValue(nextMap, "mixX", 1), mixY2 = getValue(nextMap, "mixY", mixX2); + const mixScaleX2 = getValue(nextMap, "mixScaleX", 1), mixScaleY2 = getValue(nextMap, "mixScaleY", 1); + const mixShearY2 = getValue(nextMap, "mixShearY", 1); + const curve = keyMap.curve; + if (curve) { + bezier = readCurve(curve, timeline, bezier, frame, 0, time, time2, mixRotate, mixRotate2, 1); + bezier = readCurve(curve, timeline, bezier, frame, 1, time, time2, mixX, mixX2, 1); + bezier = readCurve(curve, timeline, bezier, frame, 2, time, time2, mixY, mixY2, 1); + bezier = readCurve(curve, timeline, bezier, frame, 3, time, time2, mixScaleX, mixScaleX2, 1); + bezier = readCurve(curve, timeline, bezier, frame, 4, time, time2, mixScaleY, mixScaleY2, 1); + bezier = readCurve(curve, timeline, bezier, frame, 5, time, time2, mixShearY, mixShearY2, 1); + } + time = time2; + mixRotate = mixRotate2; + mixX = mixX2; + mixY = mixY2; + mixScaleX = mixScaleX2; + mixScaleY = mixScaleY2; + mixShearY = mixShearY2; + keyMap = nextMap; + } + timelines.push(timeline); + } + } + if (map.path) { + for (const constraintName in map.path) { + const constraintMap = map.path[constraintName]; + const constraint = skeletonData.findConstraint(constraintName, PathConstraintData); + if (!constraint) throw new Error(`Path constraint not found: ${constraintName}`); + const index = skeletonData.constraints.indexOf(constraint); + for (const timelineName in constraintMap) { + const timelineMap = constraintMap[timelineName]; + let keyMap = timelineMap[0]; + if (!keyMap) continue; + const frames = timelineMap.length; + switch (timelineName) { + case "position": { + const timeline = new PathConstraintPositionTimeline(frames, frames, index); + readTimeline12(timelines, timelineMap, timeline, 0, constraint.positionMode === 0 /* Fixed */ ? scale : 1); + break; + } + case "spacing": { + const timeline = new PathConstraintSpacingTimeline(frames, frames, index); + readTimeline12(timelines, timelineMap, timeline, 0, constraint.spacingMode === 0 /* Length */ || constraint.spacingMode === 1 /* Fixed */ ? scale : 1); + break; + } + case "mix": { + const timeline = new PathConstraintMixTimeline(frames, frames * 3, index); + let time = getValue(keyMap, "time", 0); + let mixRotate = getValue(keyMap, "mixRotate", 1); + let mixX = getValue(keyMap, "mixX", 1); + let mixY = getValue(keyMap, "mixY", mixX); + for (let frame = 0, bezier = 0; ; frame++) { + timeline.setFrame(frame, time, mixRotate, mixX, mixY); + const nextMap = timelineMap[frame + 1]; + if (!nextMap) { + timeline.shrink(bezier); + break; + } + const time2 = getValue(nextMap, "time", 0); + const mixRotate2 = getValue(nextMap, "mixRotate", 1); + const mixX2 = getValue(nextMap, "mixX", 1); + const mixY2 = getValue(nextMap, "mixY", mixX2); + const curve = keyMap.curve; + if (curve) { + bezier = readCurve(curve, timeline, bezier, frame, 0, time, time2, mixRotate, mixRotate2, 1); + bezier = readCurve(curve, timeline, bezier, frame, 1, time, time2, mixX, mixX2, 1); + bezier = readCurve(curve, timeline, bezier, frame, 2, time, time2, mixY, mixY2, 1); + } + time = time2; + mixRotate = mixRotate2; + mixX = mixX2; + mixY = mixY2; + keyMap = nextMap; + } + timelines.push(timeline); + break; + } + } + } + } + } + if (map.physics) { + for (const constraintName in map.physics) { + const constraintMap = map.physics[constraintName]; + let index = -1; + if (constraintName.length > 0) { + const constraint = skeletonData.findConstraint(constraintName, PhysicsConstraintData); + if (!constraint) throw new Error(`Physics constraint not found: ${constraintName}`); + index = skeletonData.constraints.indexOf(constraint); + } + for (const timelineName in constraintMap) { + const timelineMap = constraintMap[timelineName]; + let keyMap = timelineMap[0]; + if (!keyMap) continue; + const frames = timelineMap.length; + let timeline; + let defaultValue = 0; + if (timelineName === "reset") { + const resetTimeline = new PhysicsConstraintResetTimeline(frames, index); + for (let frame = 0; keyMap != null; keyMap = timelineMap[frame + 1], frame++) + resetTimeline.setFrame(frame, getValue(keyMap, "time", 0)); + timelines.push(resetTimeline); + continue; + } + switch (timelineName) { + case "inertia": + timeline = new PhysicsConstraintInertiaTimeline(frames, frames, index); + break; + case "strength": + timeline = new PhysicsConstraintStrengthTimeline(frames, frames, index); + break; + case "damping": + timeline = new PhysicsConstraintDampingTimeline(frames, frames, index); + break; + case "mass": + timeline = new PhysicsConstraintMassTimeline(frames, frames, index); + break; + case "wind": + timeline = new PhysicsConstraintWindTimeline(frames, frames, index); + break; + case "gravity": + timeline = new PhysicsConstraintGravityTimeline(frames, frames, index); + break; + case "mix": { + defaultValue = 1; + timeline = new PhysicsConstraintMixTimeline(frames, frames, index); + break; + } + default: + continue; + } + readTimeline12(timelines, timelineMap, timeline, defaultValue, 1); + } + } + } + if (map.slider) { + for (const constraintName in map.slider) { + const constraintMap = map.slider[constraintName]; + const constraint = skeletonData.findConstraint(constraintName, SliderData); + if (!constraint) throw new Error(`Slider not found: ${constraintName}`); + const index = skeletonData.constraints.indexOf(constraint); + for (const timelineName in constraintMap) { + const timelineMap = constraintMap[timelineName]; + const keyMap = timelineMap[0]; + if (!keyMap) continue; + const frames = timelineMap.length; + switch (timelineName) { + case "time": + readTimeline12(timelines, timelineMap, new SliderTimeline(frames, frames, index), 1, 1); + break; + case "mix": + readTimeline12(timelines, timelineMap, new SliderMixTimeline(frames, frames, index), 1, 1); + break; + } + } + } + } + if (map.attachments) { + for (const attachmentsName in map.attachments) { + const attachmentsMap = map.attachments[attachmentsName]; + const skin = skeletonData.findSkin(attachmentsName); + if (!skin) throw new Error(`Skin not found: ${attachmentsName}`); + for (const slotMapName in attachmentsMap) { + const slotMap = attachmentsMap[slotMapName]; + const slot = skeletonData.findSlot(slotMapName); + if (!slot) throw new Error(`Attachment slot not found: ${slotMapName}`); + const slotIndex = slot.index; + for (const attachmentMapName in slotMap) { + const attachmentMap = slotMap[attachmentMapName]; + const attachment = skin.getAttachment(slotIndex, attachmentMapName); + if (!attachment) throw new Error(`Timeline attachment not found: ${attachmentMapName}`); + for (const timelineMapName in attachmentMap) { + const timelineMap = attachmentMap[timelineMapName]; + let keyMap = timelineMap[0]; + if (!keyMap) continue; + if (timelineMapName === "deform") { + const weighted = attachment.bones; + const vertices = attachment.vertices; + const deformLength = weighted ? vertices.length / 3 * 2 : vertices.length; + const timeline = new DeformTimeline(timelineMap.length, timelineMap.length, slotIndex, attachment); + let time = getValue(keyMap, "time", 0); + for (let frame = 0, bezier = 0; ; frame++) { + let deform; + const verticesValue = getValue(keyMap, "vertices", null); + if (!verticesValue) + deform = weighted ? Utils.newFloatArray(deformLength) : vertices; + else { + deform = Utils.newFloatArray(deformLength); + const start = getValue(keyMap, "offset", 0); + Utils.arrayCopy(verticesValue, 0, deform, start, verticesValue.length); + if (scale !== 1) { + for (let i = start, n = i + verticesValue.length; i < n; i++) + deform[i] *= scale; + } + if (!weighted) { + for (let i = 0; i < deformLength; i++) + deform[i] += vertices[i]; + } + } + timeline.setFrame(frame, time, deform); + const nextMap = timelineMap[frame + 1]; + if (!nextMap) { + timeline.shrink(bezier); + break; + } + const time2 = getValue(nextMap, "time", 0); + const curve = keyMap.curve; + if (curve) bezier = readCurve(curve, timeline, bezier, frame, 0, time, time2, 0, 1, 1); + time = time2; + keyMap = nextMap; + } + timelines.push(timeline); + } else if (timelineMapName === "sequence") { + const timeline = new SequenceTimeline(timelineMap.length, slotIndex, attachment); + let lastDelay = 0; + for (let frame = 0; frame < timelineMap.length; frame++) { + const delay = getValue(keyMap, "delay", lastDelay); + const time = getValue(keyMap, "time", 0); + const mode = SequenceMode[getValue(keyMap, "mode", "hold")]; + const index = getValue(keyMap, "index", 0); + timeline.setFrame(frame, time, mode, index, delay); + lastDelay = delay; + keyMap = timelineMap[frame + 1]; + } + timelines.push(timeline); + } + } + } + } + } + } + if (map.drawOrder) { + const timeline = new DrawOrderTimeline(map.drawOrder.length); + const slotCount = skeletonData.slots.length; + let frame = 0; + for (const drawOrderMap of map.drawOrder) { + timeline.setFrame(frame++, getValue(drawOrderMap, "time", 0), readDrawOrder2(skeletonData, drawOrderMap, slotCount, null)); + } + timelines.push(timeline); + } + if (map.drawOrderFolder) { + for (const timelineMap of map.drawOrderFolder) { + const slotEntries = getValue(timelineMap, "slots", []); + const folderSlots = new Array(slotEntries.length); + let ii = 0; + for (const slotEntry of slotEntries) { + const slot = skeletonData.findSlot(slotEntry); + if (!slot) throw new Error(`Draw order folder slot not found: ${slotEntry}`); + folderSlots[ii++] = slot.index; + } + const drawOrderFolderEntries = getValue(timelineMap, "keys", []); + const timeline = new DrawOrderFolderTimeline(drawOrderFolderEntries.length, folderSlots, skeletonData.slots.length); + let frame = 0; + for (const drawOrderFolderMap of drawOrderFolderEntries) { + timeline.setFrame(frame++, getValue(drawOrderFolderMap, "time", 0), readDrawOrder2(skeletonData, drawOrderFolderMap, folderSlots.length, folderSlots)); + } + timelines.push(timeline); + } + } + if (map.events) { + const timeline = new EventTimeline(map.events.length); + let frame = 0; + for (let i = 0; i < map.events.length; i++, frame++) { + const eventMap = map.events[i]; + const data = skeletonData.findEvent(eventMap.name); + if (!data) throw new Error(`Event not found: ${eventMap.name}`); + const setup = data.setupPose; + const event = new Event(Utils.toSinglePrecision(getValue(eventMap, "time", 0)), data); + event.intValue = getValue(eventMap, "int", setup.intValue); + event.floatValue = getValue(eventMap, "float", setup.floatValue); + event.stringValue = getValue(eventMap, "string", setup.stringValue); + if (event.data.audioPath) { + event.volume = getValue(eventMap, "volume", setup.volume); + event.balance = getValue(eventMap, "balance", setup.volume); + } + timeline.setFrame(frame, event); + } + timelines.push(timeline); + } + let duration = 0; + for (let i = 0, n = timelines.length; i < n; i++) + duration = Math.max(duration, timelines[i].getDuration()); + const animation = new Animation(name, timelines, duration); + const color = getValue(map, "color", null); + if (color !== null) animation.color.setFromString(color); + skeletonData.animations.push(animation); + } + }; + var LinkedMesh2 = class { + source; + skin; + slotIndex; + sourceIndex; + mesh; + inheritTimelines; + constructor(mesh, skin, slotIndex, sourceIndex, source, inheritTimelines) { + this.mesh = mesh; + this.skin = skin; + this.slotIndex = slotIndex; + this.sourceIndex = sourceIndex; + this.source = source; + this.inheritTimelines = inheritTimelines; + } + }; + function readTimeline12(timelines, keys, timeline, defaultValue, scale) { + let keyMap = keys[0]; + let time = keyMap.time ?? 0; + let value = (keyMap.value ?? defaultValue) * scale; + let bezier = 0; + for (let frame = 0; ; frame++) { + timeline.setFrame(frame, time, value); + const nextMap = keys[frame + 1]; + if (!nextMap) { + timeline.shrink(bezier); + timelines.push(timeline); + return; + } + const time2 = nextMap.time ?? 0; + const value2 = (nextMap.value ?? defaultValue) * scale; + if (keyMap.curve) bezier = readCurve(keyMap.curve, timeline, bezier, frame, 0, time, time2, value, value2, scale); + time = time2; + value = value2; + keyMap = nextMap; + } + } + function readTimeline22(timelines, keys, timeline, name1, name2, defaultValue, scale) { + let keyMap = keys[0]; + let time = keyMap.time ?? 0; + let value1 = (keyMap[name1] ?? defaultValue) * scale; + let value2 = (keyMap[name2] ?? defaultValue) * scale; + let bezier = 0; + for (let frame = 0; ; frame++) { + timeline.setFrame(frame, time, value1, value2); + const nextMap = keys[frame + 1]; + if (!nextMap) { + timeline.shrink(bezier); + timelines.push(timeline); + return; + } + const time2 = nextMap.time ?? 0; + const nvalue1 = (nextMap[name1] ?? defaultValue) * scale; + const nvalue2 = (nextMap[name2] ?? defaultValue) * scale; + const curve = keyMap.curve; + if (curve) { + bezier = readCurve(curve, timeline, bezier, frame, 0, time, time2, value1, nvalue1, scale); + bezier = readCurve(curve, timeline, bezier, frame, 1, time, time2, value2, nvalue2, scale); + } + time = time2; + value1 = nvalue1; + value2 = nvalue2; + keyMap = nextMap; + } + } + function readDrawOrder2(skeletonData, keys, slotCount, folderSlots) { + const changes = keys.offsets; + if (!changes) return null; + const drawOrder = new Array(slotCount).fill(-1); + const unchanged = new Array(slotCount - changes.length); + let originalIndex = 0, unchangedIndex = 0; + for (const offsetMap of changes) { + const slot = skeletonData.findSlot(offsetMap.slot); + if (slot == null) throw new Error(`Draw order slot not found: ${offsetMap.slot}`); + let index = 0; + if (!folderSlots) + index = slot.index; + else { + index = -1; + for (let i = 0; i < slotCount; i++) { + if (folderSlots[i] === slot.index) { + index = i; + break; + } + } + if (index === -1) throw new Error(`Slot not in folder: ${offsetMap.slot}`); + } + while (originalIndex !== index) + unchanged[unchangedIndex++] = originalIndex++; + drawOrder[originalIndex + offsetMap.offset] = originalIndex++; + } + while (originalIndex < slotCount) + unchanged[unchangedIndex++] = originalIndex++; + for (let i = slotCount - 1; i >= 0; i--) + if (drawOrder[i] === -1) drawOrder[i] = unchanged[--unchangedIndex]; + return drawOrder; + } + function readCurve(curve, timeline, bezier, frame, value, time1, time2, value1, value2, scale) { + if (curve === "stepped") { + timeline.setStepped(frame); + return bezier; + } + const i = value << 2; + const cx1 = curve[i]; + const cy1 = curve[i + 1] * scale; + const cx2 = curve[i + 2]; + const cy2 = curve[i + 3] * scale; + timeline.setBezier(bezier, frame, value, time1, value1, cx1, cy1, cx2, cy2, time2, value2); + return bezier + 1; + } + function getValue(map, property, defaultValue) { + return map[property] !== void 0 ? map[property] : defaultValue; + } + + // spine-core/src/SkeletonPhysicsMovement.ts + var SkeletonPhysicsMovement = class { + /** + * Creates a movement tracker for a skeleton displayed by a host runtime object. + * @param skeleton The skeleton whose physics constraints receive inherited movement. + * @param adapter Runtime-specific hooks used to read and convert the host object's transform. + * @param options Initial movement inheritance values. + */ + constructor(skeleton, adapter, options = {}) { + this.skeleton = skeleton; + this.adapter = adapter; + this.positionInheritanceFactorX = options.positionInheritanceX ?? 0; + this.positionInheritanceFactorY = options.positionInheritanceY ?? 0; + this.rotationInheritanceFactor = options.rotationInheritance ?? 0; + } + positionInheritanceFactorX = 0; + positionInheritanceFactorY = 0; + rotationInheritanceFactor = 0; + hasLastTransform = false; + lastX = 0; + lastY = 0; + lastZ = 0; + lastRotation = 0; + currentTransform = { x: 0, y: 0, z: 0, rotation: 0 }; + currentPosition = { x: 0, y: 0, z: 0 }; + lastPosition = { x: 0, y: 0, z: 0 }; + /** Horizontal position inheritance factor. `0` disables horizontal position inheritance. */ + get positionInheritanceX() { + return this.positionInheritanceFactorX; + } + /** Vertical position inheritance factor. `0` disables vertical position inheritance. */ + get positionInheritanceY() { + return this.positionInheritanceFactorY; + } + /** + * Sets how much host object translation is inherited by skeleton physics constraints. + * Use `(1, 1)` for normal inheritance, or `(0, 0)` to disable position inheritance. + * @param x The horizontal position inheritance factor. + * @param y The vertical position inheritance factor. + */ + setPositionInheritance(x, y) { + const wasDisabled = this.positionInheritanceFactorX === 0 && this.positionInheritanceFactorY === 0; + const isEnabled = x !== 0 || y !== 0; + this.positionInheritanceFactorX = x; + this.positionInheritanceFactorY = y; + if (wasDisabled && isEnabled) this.resetPosition(); + } + /** Rotation inheritance factor. `0` disables rotation inheritance. */ + get rotationInheritance() { + return this.rotationInheritanceFactor; + } + /** + * Sets how much host object rotation is inherited by skeleton physics constraints. + * @param value The rotation inheritance factor. + */ + set rotationInheritance(value) { + const wasDisabled = this.rotationInheritanceFactor === 0; + this.rotationInheritanceFactor = value; + if (wasDisabled && value !== 0) this.resetRotation(); + } + /** Resets the previous position used to calculate inherited translation. */ + resetPosition() { + const transform = this.currentTransform; + const readRotation = !this.hasLastTransform && this.rotationInheritanceFactor !== 0; + this.adapter.readTransform(transform, readRotation); + this.lastX = transform.x; + this.lastY = transform.y; + this.lastZ = transform.z; + if (readRotation) this.lastRotation = transform.rotation; + this.hasLastTransform = true; + } + /** Resets the previous rotation used to calculate inherited rotation. */ + resetRotation() { + const transform = this.currentTransform; + this.adapter.readTransform(transform, true); + this.lastRotation = transform.rotation; + if (!this.hasLastTransform) { + this.lastX = transform.x; + this.lastY = transform.y; + this.lastZ = transform.z; + } + this.hasLastTransform = true; + } + /** Resets both previous position and previous rotation. */ + resetTransform() { + const transform = this.currentTransform; + this.adapter.readTransform(transform, true); + this.setLastTransform(transform.x, transform.y, transform.z, transform.rotation); + } + /** + * Applies host object transform movement since the previous call to the skeleton's physics constraints. + * + * The first call records the current transform as the baseline and does not apply movement. + */ + applyTransformMovement() { + const inheritPosition = this.positionInheritanceFactorX !== 0 || this.positionInheritanceFactorY !== 0; + const inheritRotation = this.rotationInheritanceFactor !== 0; + if (!inheritPosition && !inheritRotation) return; + const transform = this.currentTransform; + this.adapter.readTransform(transform, inheritRotation); + const { x, y, z } = transform; + const currentRotation = inheritRotation ? transform.rotation : this.lastRotation; + const positionChanged = x !== this.lastX || y !== this.lastY || z !== this.lastZ; + if (this.hasLastTransform) { + if (!positionChanged && currentRotation === this.lastRotation) return; + if (inheritPosition && positionChanged) this.applyPositionMovement(x, y, z); + if (inheritRotation && currentRotation !== this.lastRotation) this.applyRotationMovement(currentRotation); + } + this.setLastTransform(x, y, z, currentRotation); + } + applyPositionMovement(currentX, currentY, currentZ) { + const currentPosition = this.currentPosition; + currentPosition.x = currentX; + currentPosition.y = currentY; + currentPosition.z = currentZ; + this.adapter.worldToSkeleton(currentPosition); + const lastPosition = this.lastPosition; + lastPosition.x = this.lastX; + lastPosition.y = this.lastY; + lastPosition.z = this.lastZ; + this.adapter.worldToSkeleton(lastPosition); + this.skeleton.physicsTranslate( + (currentPosition.x - lastPosition.x) * this.positionInheritanceFactorX, + (currentPosition.y - lastPosition.y) * this.positionInheritanceFactorY + ); + } + applyRotationMovement(currentRotation) { + const rotationFactor = this.rotationInheritanceFactor; + if (rotationFactor === 0) return; + this.skeleton.physicsRotate(0, 0, this.getRotationDelta(currentRotation, this.lastRotation) * rotationFactor); + } + setLastTransform(x, y, z, rotation) { + this.lastX = x; + this.lastY = y; + this.lastZ = z; + this.lastRotation = rotation; + this.hasLastTransform = true; + } + getRotationDelta(current, previous) { + let delta = current - previous; + delta = (delta + 180) % 360 - 180; + return delta < -180 ? delta + 360 : delta; + } + }; + + // spine-core/src/SkeletonRendererCore.ts + var SkeletonRendererCore = class { + commandPool = new CommandPool(); + worldVertices = new Float32Array(12 * 1024); + quadIndices = new Uint16Array([0, 1, 2, 2, 3, 0]); + clipping = new SkeletonClipping(); + renderCommands = []; + render(skeleton, pma = false, inColor, stride = 2, slotZOffset = 0) { + this.commandPool.reset(); + this.renderCommands.length = 0; + const clipper = this.clipping; + let z = 0; + const drawOrder = skeleton.drawOrder.appliedPose; + for (let i = 0, n = drawOrder.length; i < n; i++) { + const slot = drawOrder[i]; + if (!slot.bone.active) { + clipper.clipEnd(slot); + continue; + } + const pose = slot.appliedPose; + const attachment = pose.attachment; + if (!attachment) { + clipper.clipEnd(slot); + continue; + } + const slotColor = pose.color; + const alpha = slotColor.a; + if (alpha === 0 && !(attachment instanceof ClippingAttachment)) { + clipper.clipEnd(slot); + continue; + } + let vertices; + let verticesCount; + let uvs; + let indices; + let indicesCount; + let attachmentColor; + let texture; + if (attachment instanceof RegionAttachment) { + attachmentColor = attachment.color; + if (attachmentColor.a === 0) { + clipper.clipEnd(slot); + continue; + } + const sequence = attachment.sequence; + const sequenceIndex = sequence.resolveIndex(pose); + attachment.computeWorldVertices(slot, attachment.getOffsets(pose), this.worldVertices, 0, stride); + vertices = this.worldVertices; + verticesCount = 4; + uvs = sequence.getUVs(sequenceIndex); + indices = this.quadIndices; + indicesCount = 6; + texture = sequence.regions[sequenceIndex]?.texture; + } else if (attachment instanceof MeshAttachment) { + attachmentColor = attachment.color; + if (attachmentColor.a === 0) { + clipper.clipEnd(slot); + continue; + } + if (this.worldVertices.length < attachment.worldVerticesLength) + this.worldVertices = new Float32Array(attachment.worldVerticesLength); + attachment.computeWorldVertices(skeleton, slot, 0, attachment.worldVerticesLength, this.worldVertices, 0, stride); + vertices = this.worldVertices; + verticesCount = attachment.worldVerticesLength >> 1; + const sequence = attachment.sequence; + const sequenceIndex = sequence.resolveIndex(pose); + uvs = sequence.getUVs(sequenceIndex); + indices = attachment.triangles; + indicesCount = indices.length; + texture = sequence.regions[sequenceIndex]?.texture; + } else if (attachment instanceof ClippingAttachment) { + clipper.clipEnd(slot); + clipper.clipStart(skeleton, slot, attachment); + continue; + } else { + clipper.clipEnd(slot); + continue; + } + if (!texture) { + clipper.clipEnd(slot); + continue; + } + const skelColor = skeleton.color; + let color, darkColor; + if (pma) { + let a; + if (inColor) { + a = Math.floor(inColor[3] * skelColor.a * slotColor.a * attachmentColor.a * 255); + const r = Math.floor(a * inColor[0] * skelColor.r * slotColor.r * attachmentColor.r); + const g = Math.floor(a * inColor[1] * skelColor.g * slotColor.g * attachmentColor.g); + const b = Math.floor(a * inColor[2] * skelColor.b * slotColor.b * attachmentColor.b); + color = a << 24 | r << 16 | g << 8 | b; + } else { + a = Math.floor(skelColor.a * slotColor.a * attachmentColor.a * 255); + const r = Math.floor(a * skelColor.r * slotColor.r * attachmentColor.r); + const g = Math.floor(a * skelColor.g * slotColor.g * attachmentColor.g); + const b = Math.floor(a * skelColor.b * slotColor.b * attachmentColor.b); + color = a << 24 | r << 16 | g << 8 | b; + } + darkColor = 4278190080; + if (pose.darkColor) { + const { r, g, b } = pose.darkColor; + darkColor = 4278190080 | Math.floor(r * a) << 16 | Math.floor(g * a) << 8 | Math.floor(b * a); + } + } else { + if (inColor) { + const a = Math.floor(inColor[3] * skelColor.a * slotColor.a * attachmentColor.a * 255); + const r = Math.floor(inColor[0] * skelColor.r * slotColor.r * attachmentColor.r * 255); + const g = Math.floor(inColor[1] * skelColor.g * slotColor.g * attachmentColor.g * 255); + const b = Math.floor(inColor[2] * skelColor.b * slotColor.b * attachmentColor.b * 255); + color = a << 24 | r << 16 | g << 8 | b; + } else { + const a = Math.floor(skelColor.a * slotColor.a * attachmentColor.a * 255); + const r = Math.floor(skelColor.r * slotColor.r * attachmentColor.r * 255); + const g = Math.floor(skelColor.g * slotColor.g * attachmentColor.g * 255); + const b = Math.floor(skelColor.b * slotColor.b * attachmentColor.b * 255); + color = a << 24 | r << 16 | g << 8 | b; + } + darkColor = 0; + if (pose.darkColor) { + const { r, g, b } = pose.darkColor; + darkColor = Math.floor(r * 255) << 16 | Math.floor(g * 255) << 8 | Math.floor(b * 255); + } + } + if (clipper.isClipping()) { + clipper.clipTrianglesUnpacked(vertices, 0, indices, indicesCount, uvs, stride); + vertices = clipper.clippedVerticesTyped; + verticesCount = clipper.clippedVerticesLength / stride; + uvs = clipper.clippedUVsTyped; + indices = clipper.clippedTrianglesTyped; + indicesCount = clipper.clippedTrianglesLength; + } + const cmd = this.commandPool.getCommand(verticesCount, indicesCount, stride); + cmd.blendMode = slot.data.blendMode; + cmd.texture = texture; + cmd.positions.set(vertices.subarray(0, verticesCount * stride)); + if (stride >= 3) { + for (let j = 2, n2 = verticesCount * stride; j < n2; j += stride) + cmd.positions[j] = z; + } + cmd.uvs.set(uvs.subarray(0, verticesCount << 1)); + for (let j = 0; j < verticesCount; j++) { + cmd.colors[j] = color; + cmd.darkColors[j] = darkColor; + } + if (indices instanceof Uint16Array) { + cmd.indices.set(indices.subarray(0, indicesCount)); + } else { + cmd.indices.set(indices.slice(0, indicesCount)); + } + this.renderCommands.push(cmd); + z += slotZOffset; + clipper.clipEnd(slot); + } + clipper.clipEnd(); + return this.batchCommands(stride); + } + batchSubCommands(commands, first, last, numVertices, numIndices, stride) { + const firstCmd = commands[first]; + const batched = this.commandPool.getCommand(numVertices, numIndices, stride); + batched.blendMode = firstCmd.blendMode; + batched.texture = firstCmd.texture; + let positionsOffset = 0; + let uvsOffset = 0; + let colorsOffset = 0; + let indicesOffset = 0; + let vertexOffset = 0; + for (let i = first; i <= last; i++) { + const cmd = commands[i]; + batched.positions.set(cmd.positions, positionsOffset); + positionsOffset += cmd.numVertices * stride; + batched.uvs.set(cmd.uvs, uvsOffset); + uvsOffset += cmd.numVertices << 1; + batched.colors.set(cmd.colors, colorsOffset); + batched.darkColors.set(cmd.darkColors, colorsOffset); + colorsOffset += cmd.numVertices; + for (let j = 0; j < cmd.numIndices; j++) + batched.indices[indicesOffset + j] = cmd.indices[j] + vertexOffset; + indicesOffset += cmd.numIndices; + vertexOffset += cmd.numVertices; + } + return batched; + } + batchCommands(stride) { + if (this.renderCommands.length === 0) return void 0; + let root; + let last; + let first = this.renderCommands[0]; + let startIndex = 0; + let i = 1; + let numVertices = first.numVertices; + let numIndices = first.numIndices; + while (i <= this.renderCommands.length) { + const cmd = i < this.renderCommands.length ? this.renderCommands[i] : null; + if (cmd && cmd.numVertices === 0 && cmd.numIndices === 0) { + i++; + continue; + } + const canBatch = cmd !== null && cmd.texture === first.texture && cmd.blendMode === first.blendMode && cmd.colors[0] === first.colors[0] && cmd.darkColors[0] === first.darkColors[0] && numIndices + cmd.numIndices < 65535; + if (canBatch) { + numVertices += cmd.numVertices; + numIndices += cmd.numIndices; + } else { + const batched = this.batchSubCommands( + this.renderCommands, + startIndex, + i - 1, + numVertices, + numIndices, + stride + ); + if (!last) { + root = last = batched; + } else { + last.next = batched; + last = batched; + } + if (i === this.renderCommands.length) break; + first = this.renderCommands[i]; + startIndex = i; + numVertices = first.numVertices; + numIndices = first.numIndices; + } + i++; + } + return root; + } + }; + var CommandPool = class { + pool = []; + inUse = []; + getCommand(numVertices, numIndices, stride) { + let cmd; + for (const c of this.pool) { + if (c._positions.length >= numVertices * stride && c._indices.length >= numIndices) { + cmd = c; + break; + } + } + if (!cmd) { + const _positions = new Float32Array(numVertices * stride); + const _uvs = new Float32Array(numVertices << 1); + const _colors = new Uint32Array(numVertices); + const _darkColors = new Uint32Array(numVertices); + const _indices = new Uint16Array(numIndices); + cmd = { + positions: _positions, + uvs: _uvs, + colors: _colors, + darkColors: _darkColors, + indices: _indices, + _positions, + _uvs, + _colors, + _darkColors, + _indices, + numVertices, + numIndices, + blendMode: 0 /* Normal */, + texture: null + }; + } else { + this.pool.splice(this.pool.indexOf(cmd), 1); + cmd.next = void 0; + cmd.numVertices = numVertices; + cmd.numIndices = numIndices; + cmd.positions = cmd._positions.subarray(0, numVertices * stride); + cmd.uvs = cmd._uvs.subarray(0, numVertices << 1); + cmd.colors = cmd._colors.subarray(0, numVertices); + cmd.darkColors = cmd._darkColors.subarray(0, numVertices); + cmd.indices = cmd._indices.subarray(0, numIndices); + } + this.inUse.push(cmd); + return cmd; + } + reset() { + this.pool.push(...this.inUse); + this.inUse.length = 0; + } + }; + + // spine-canvas/src/CanvasTexture.ts + var CanvasTexture = class extends Texture { + constructor(image) { + super(image); + } + setFilters(minFilter, magFilter) { + } + setWraps(uWrap, vWrap) { + } + dispose() { + } + }; + + // spine-canvas/src/AssetManager.ts + var AssetManager = class extends AssetManagerBase { + constructor(pathPrefix = "", downloader = new Downloader()) { + super((image) => { + return new CanvasTexture(image); + }, pathPrefix, downloader); + } + }; + + // spine-canvas/src/SkeletonRenderer.ts + var worldVertices = Utils.newFloatArray(8); + var SkeletonRenderer = class _SkeletonRenderer { + static QUAD_TRIANGLES = [0, 1, 2, 2, 3, 0]; + static VERTEX_SIZE = 2 + 2 + 4; + ctx; + triangleRendering = false; + debugRendering = false; + vertices = Utils.newFloatArray(8 * 1024); + tempColor = new Color(); + constructor(context) { + this.ctx = context; + } + draw(skeleton) { + if (this.triangleRendering) this.drawTriangles(skeleton); + else this.drawImages(skeleton); + } + drawImages(skeleton) { + const ctx = this.ctx; + const color = this.tempColor; + const skeletonColor = skeleton.color; + const drawOrder = skeleton.drawOrder.appliedPose; + if (this.debugRendering) ctx.strokeStyle = "green"; + for (let i = 0, n = drawOrder.length; i < n; i++) { + const slot = drawOrder[i]; + const bone = slot.bone; + if (!bone.active) continue; + const pose = slot.appliedPose; + const attachment = pose.attachment; + if (!(attachment instanceof RegionAttachment)) continue; + const sequence = attachment.sequence; + const sequenceIndex = sequence.resolveIndex(pose); + attachment.computeWorldVertices(slot, attachment.getOffsets(pose), worldVertices, 0, 2); + const region = sequence.regions[sequenceIndex]; + const image = region.texture.getImage(); + const slotColor = pose.color; + const regionColor = attachment.color; + color.set( + skeletonColor.r * slotColor.r * regionColor.r, + skeletonColor.g * slotColor.g * regionColor.g, + skeletonColor.b * slotColor.b * regionColor.b, + skeletonColor.a * slotColor.a * regionColor.a + ); + ctx.save(); + const boneApplied = bone.appliedPose; + ctx.transform(boneApplied.a, boneApplied.c, boneApplied.b, boneApplied.d, boneApplied.worldX, boneApplied.worldY); + const offsets = attachment.getOffsets(pose); + ctx.translate(offsets[0], offsets[1]); + ctx.rotate(attachment.rotation * Math.PI / 180); + const atlasScale = attachment.width / region.originalWidth; + ctx.scale(atlasScale * attachment.scaleX, atlasScale * attachment.scaleY); + let w = region.width, h = region.height; + ctx.translate(w / 2, h / 2); + if (region.degrees === 90) { + const t = w; + w = h; + h = t; + ctx.rotate(-Math.PI / 2); + } + ctx.scale(1, -1); + ctx.translate(-w / 2, -h / 2); + ctx.globalAlpha = color.a; + ctx.drawImage(image, image.width * region.u, image.height * region.v, w, h, 0, 0, w, h); + if (this.debugRendering) ctx.strokeRect(0, 0, w, h); + ctx.restore(); + } + } + drawTriangles(skeleton) { + const ctx = this.ctx; + const color = this.tempColor; + const skeletonColor = skeleton.color; + const drawOrder = skeleton.drawOrder.appliedPose; + let blendMode = null; + let vertices = this.vertices; + let triangles = null; + for (let i = 0, n = drawOrder.length; i < n; i++) { + const slot = drawOrder[i]; + const pose = slot.appliedPose; + const attachment = pose.attachment; + let texture; + if (attachment instanceof RegionAttachment) { + const sequence = attachment.sequence; + const sequenceIndex = sequence.resolveIndex(pose); + const uvs = sequence.getUVs(sequenceIndex); + const offsets = attachment.getOffsets(pose); + vertices = this.computeRegionVertices(slot, attachment, offsets, uvs, false); + triangles = _SkeletonRenderer.QUAD_TRIANGLES; + texture = (sequence.regions[sequenceIndex]?.texture).getImage(); + } else if (attachment instanceof MeshAttachment) { + const sequence = attachment.sequence; + const sequenceIndex = sequence.resolveIndex(pose); + const uvs = sequence.getUVs(sequenceIndex); + vertices = this.computeMeshVertices(slot, attachment, uvs, false); + triangles = attachment.triangles; + texture = (sequence.regions[sequenceIndex]?.texture).getImage(); + } else + continue; + if (texture) { + if (slot.data.blendMode !== blendMode) blendMode = slot.data.blendMode; + const slotColor = pose.color; + const attachmentColor = attachment.color; + color.set( + skeletonColor.r * slotColor.r * attachmentColor.r, + skeletonColor.g * slotColor.g * attachmentColor.g, + skeletonColor.b * slotColor.b * attachmentColor.b, + skeletonColor.a * slotColor.a * attachmentColor.a + ); + ctx.globalAlpha = color.a; + for (let j = 0; j < triangles.length; j += 3) { + const t1 = triangles[j] * 8, t2 = triangles[j + 1] * 8, t3 = triangles[j + 2] * 8; + const x0 = vertices[t1], y0 = vertices[t1 + 1], u0 = vertices[t1 + 6], v0 = vertices[t1 + 7]; + const x1 = vertices[t2], y1 = vertices[t2 + 1], u1 = vertices[t2 + 6], v1 = vertices[t2 + 7]; + const x2 = vertices[t3], y2 = vertices[t3 + 1], u2 = vertices[t3 + 6], v2 = vertices[t3 + 7]; + this.drawTriangle(texture, x0, y0, u0, v0, x1, y1, u1, v1, x2, y2, u2, v2); + if (this.debugRendering) { + ctx.strokeStyle = "green"; + ctx.beginPath(); + ctx.moveTo(x0, y0); + ctx.lineTo(x1, y1); + ctx.lineTo(x2, y2); + ctx.lineTo(x0, y0); + ctx.stroke(); + } + } + } + } + this.ctx.globalAlpha = 1; + } + // Adapted from http://extremelysatisfactorytotalitarianism.com/blog/?p=2120 + // Apache 2 licensed + drawTriangle(img, x0, y0, u0, v0, x1, y1, u1, v1, x2, y2, u2, v2) { + const ctx = this.ctx; + const width = img.width - 1; + const height = img.height - 1; + u0 *= width; + v0 *= height; + u1 *= width; + v1 *= height; + u2 *= width; + v2 *= height; + ctx.beginPath(); + ctx.moveTo(x0, y0); + ctx.lineTo(x1, y1); + ctx.lineTo(x2, y2); + ctx.closePath(); + x1 -= x0; + y1 -= y0; + x2 -= x0; + y2 -= y0; + u1 -= u0; + v1 -= v0; + u2 -= u0; + v2 -= v0; + let det = u1 * v2 - u2 * v1; + if (det === 0) return; + det = 1 / det; + const a = (v2 * x1 - v1 * x2) * det; + const b = (v2 * y1 - v1 * y2) * det; + const c = (u1 * x2 - u2 * x1) * det; + const d = (u1 * y2 - u2 * y1) * det; + const e = x0 - a * u0 - c * v0; + const f = y0 - b * u0 - d * v0; + ctx.save(); + ctx.transform(a, b, c, d, e, f); + ctx.clip(); + ctx.drawImage(img, 0, 0); + ctx.restore(); + } + computeRegionVertices(slot, region, offsets, uvs, pma) { + const skeletonColor = slot.skeleton.color; + const slotColor = slot.appliedPose.color; + const regionColor = region.color; + const alpha = skeletonColor.a * slotColor.a * regionColor.a; + const multiplier = pma ? alpha : 1; + const color = this.tempColor; + color.set( + skeletonColor.r * slotColor.r * regionColor.r * multiplier, + skeletonColor.g * slotColor.g * regionColor.g * multiplier, + skeletonColor.b * slotColor.b * regionColor.b * multiplier, + alpha + ); + region.computeWorldVertices(slot, offsets, this.vertices, 0, _SkeletonRenderer.VERTEX_SIZE); + const vertices = this.vertices; + vertices[RegionAttachment.C1R] = color.r; + vertices[RegionAttachment.C1G] = color.g; + vertices[RegionAttachment.C1B] = color.b; + vertices[RegionAttachment.C1A] = color.a; + vertices[RegionAttachment.U1] = uvs[0]; + vertices[RegionAttachment.V1] = uvs[1]; + vertices[RegionAttachment.C2R] = color.r; + vertices[RegionAttachment.C2G] = color.g; + vertices[RegionAttachment.C2B] = color.b; + vertices[RegionAttachment.C2A] = color.a; + vertices[RegionAttachment.U2] = uvs[2]; + vertices[RegionAttachment.V2] = uvs[3]; + vertices[RegionAttachment.C3R] = color.r; + vertices[RegionAttachment.C3G] = color.g; + vertices[RegionAttachment.C3B] = color.b; + vertices[RegionAttachment.C3A] = color.a; + vertices[RegionAttachment.U3] = uvs[4]; + vertices[RegionAttachment.V3] = uvs[5]; + vertices[RegionAttachment.C4R] = color.r; + vertices[RegionAttachment.C4G] = color.g; + vertices[RegionAttachment.C4B] = color.b; + vertices[RegionAttachment.C4A] = color.a; + vertices[RegionAttachment.U4] = uvs[6]; + vertices[RegionAttachment.V4] = uvs[7]; + return vertices; + } + computeMeshVertices(slot, mesh, uvs, pma) { + const skeleton = slot.skeleton; + const skeletonColor = skeleton.color; + const slotColor = slot.appliedPose.color; + const regionColor = mesh.color; + const alpha = skeletonColor.a * slotColor.a * regionColor.a; + const multiplier = pma ? alpha : 1; + const color = this.tempColor; + color.set( + skeletonColor.r * slotColor.r * regionColor.r * multiplier, + skeletonColor.g * slotColor.g * regionColor.g * multiplier, + skeletonColor.b * slotColor.b * regionColor.b * multiplier, + alpha + ); + const vertexCount = mesh.worldVerticesLength / 2; + let vertices = this.vertices; + if (vertices.length < mesh.worldVerticesLength) this.vertices = vertices = Utils.newFloatArray(mesh.worldVerticesLength); + mesh.computeWorldVertices(skeleton, slot, 0, mesh.worldVerticesLength, vertices, 0, _SkeletonRenderer.VERTEX_SIZE); + for (let i = 0, u = 0, v = 2; i < vertexCount; i++) { + vertices[v++] = color.r; + vertices[v++] = color.g; + vertices[v++] = color.b; + vertices[v++] = color.a; + vertices[v++] = uvs[u++]; + vertices[v++] = uvs[u++]; + v += 2; + } + return vertices; + } + }; + return __toCommonJS(index_exports); +})(); +//# sourceMappingURL=spine-canvas.js.map diff --git a/html/assets/spine/spine-canvas-clipping.js b/html/assets/spine/spine-canvas-clipping.js new file mode 100644 index 0000000..e055548 --- /dev/null +++ b/html/assets/spine/spine-canvas-clipping.js @@ -0,0 +1,243 @@ +'use strict'; + +// The official spine-canvas SkeletonRenderer does not process clipping +// attachments. Keep its triangle rasterizer, but feed it geometry produced by +// SkeletonClipping so the viewer matches Spine's draw order and clipping rules. + +const QUAD_TRIANGLES = [0, 1, 2, 2, 3, 0]; +const BLEND_MODES = ['source-over', 'lighter', 'multiply', 'screen']; +const unpremultipliedImages = new WeakMap(); + +function rendererConstructor(spine) { + return (spine.canvas && spine.canvas.SkeletonRenderer) || spine.SkeletonRenderer; +} + +function imageFromAttachment(attachment) { + const region = attachment && attachment.region; + // 4.0 stores the texture on the atlas page, while the other bundled + // runtimes expose it directly on the attachment region. + const renderRegion = region && region.renderObject; + const texture = region && (region.texture + || (region.page && region.page.texture) + || (renderRegion && renderRegion.texture) + || (renderRegion && renderRegion.page && renderRegion.page.texture)); + return texture && typeof texture.getImage === 'function' ? texture.getImage() : null; +} + +// Canvas 2D always applies source-alpha blending. A Spine texture exported +// with PMA already has RGB multiplied by alpha, so drawing it directly would +// multiply translucent edge pixels a second time. Convert it once to straight +// alpha and cache the result; Canvas can then blend it correctly. +function imageForCanvas(image, context, premultipliedAlpha) { + if (!premultipliedAlpha || !image || (typeof image !== 'object' && typeof image !== 'function')) return image; + const cached = unpremultipliedImages.get(image); + if (cached) return cached; + try { + const ownerDocument = context.canvas && context.canvas.ownerDocument; + const doc = ownerDocument || (typeof document !== 'undefined' ? document : null); + if (!image.width || !image.height) return image; + let canvas; + if (doc) canvas = doc.createElement('canvas'); + else { + try { canvas = require('@napi-rs/canvas').createCanvas(image.width, image.height); } + catch (e) { return image; } + } + canvas.width = image.width; + canvas.height = image.height; + const ctx = canvas.getContext('2d', { willReadFrequently: true }); + ctx.drawImage(image, 0, 0); + const pixels = ctx.getImageData(0, 0, canvas.width, canvas.height); + const data = pixels.data; + for (let i = 0; i < data.length; i += 4) { + const alpha = data[i + 3]; + if (alpha > 0 && alpha < 255) { + const factor = 255 / alpha; + data[i] = Math.min(255, Math.round(data[i] * factor)); + data[i + 1] = Math.min(255, Math.round(data[i + 1] * factor)); + data[i + 2] = Math.min(255, Math.round(data[i + 2] * factor)); + } + } + ctx.putImageData(pixels, 0, 0); + unpremultipliedImages.set(image, canvas); + return canvas; + } catch (e) { + // If pixel access is unavailable, retain the original texture so preview + // remains usable instead of failing the whole frame. + return image; + } +} + +function unpackVertices(vertices, count) { + const positions = new Array(count * 2); + const uvs = new Array(count * 2); + for (let i = 0, p = 0; i < count; i++, p += 2) { + const source = i * 8; + positions[p] = vertices[source]; + positions[p + 1] = vertices[source + 1]; + uvs[p] = vertices[source + 6]; + uvs[p + 1] = vertices[source + 7]; + } + return { positions, uvs }; +} + +function drawInterleaved(base, image, vertices, triangles, darkColor) { + for (let i = 0; i < triangles.length; i += 3) { + const a = triangles[i] * 8; + const b = triangles[i + 1] * 8; + const c = triangles[i + 2] * 8; + base.drawTriangle(image, + vertices[a], vertices[a + 1], vertices[a + 6], vertices[a + 7], + vertices[b], vertices[b + 1], vertices[b + 6], vertices[b + 7], + vertices[c], vertices[c + 1], vertices[c + 6], vertices[c + 7], + [...vertices.slice(a+2,a+6), ...vertices.slice(b+2,b+6), ...vertices.slice(c+2,c+6)], + darkColor ? Array.from({length:3}, () => [darkColor.r,darkColor.g,darkColor.b,0]).flat() : undefined); + } +} + +function createLegacyRenderer(spine, context) { + const Renderer = rendererConstructor(spine); + if (!Renderer || !spine.SkeletonClipping) throw new Error('Spine Canvas 渲染器不完整'); + const base = new Renderer(context); + base.triangleRendering = true; + base.premultipliedAlpha = false; + const clipper = new spine.SkeletonClipping(); + const dark = new spine.Color(0, 0, 0, 0); + + base.draw = function drawWithClipping(skeleton) { + const composite = context.globalCompositeOperation; + const drawOrder = skeleton.drawOrder; + const pma = !!base.premultipliedAlpha; + try { + for (let i = 0; i < drawOrder.length; i++) { + const slot = drawOrder[i]; + if (slot.bone && slot.bone.active === false) { + clipper.clipEndWithSlot(slot); + continue; + } + const attachment = slot.getAttachment(); + if (attachment instanceof spine.ClippingAttachment) { + clipper.clipStart(slot, attachment); + continue; + } + + try { + if (!attachment) continue; + let vertices; + let triangles; + let vertexCount; + if (attachment instanceof spine.RegionAttachment) { + vertices = base.computeRegionVertices(slot, attachment, false); + triangles = Renderer.QUAD_TRIANGLES || QUAD_TRIANGLES; + vertexCount = 4; + } else if (attachment instanceof spine.MeshAttachment) { + vertices = base.computeMeshVertices(slot, attachment, false); + triangles = attachment.triangles; + vertexCount = attachment.worldVerticesLength >> 1; + } else { + continue; + } + + const sourceImage = imageFromAttachment(attachment); + const image = base.gpuDrawing ? sourceImage : imageForCanvas(sourceImage, context, pma); + if (!image) continue; + context.globalAlpha = base.tempColor.a; + context.globalCompositeOperation = BLEND_MODES[slot.data.blendMode] || 'source-over'; + if (clipper.isClipping()) { + const unpacked = unpackVertices(vertices, vertexCount); + clipper.clipTriangles(unpacked.positions, unpacked.positions.length, + triangles, triangles.length, unpacked.uvs, base.tempColor, dark, false); + drawInterleaved(base, image, clipper.clippedVertices, clipper.clippedTriangles, slot.darkColor); + } else { + drawInterleaved(base, image, vertices, triangles, slot.darkColor); + } + } finally { + clipper.clipEndWithSlot(slot); + } + } + } finally { + clipper.clipEnd(); + context.globalAlpha = 1; + context.globalCompositeOperation = composite; + } + }; + base.clipper = clipper; + return base; +} + +// 3.4/3.5 predate clipping attachments and compute packed vertices on attachments. +function create34Renderer(spine, context) { + const base = new (rendererConstructor(spine))(context); + base.triangleRendering = true; + base.premultipliedAlpha = false; + base.draw = skeleton => { + const composite = context.globalCompositeOperation; + try { + for (const slot of skeleton.drawOrder) { + const attachment = slot.getAttachment(); + if (!(attachment instanceof spine.RegionAttachment) && !(attachment instanceof spine.MeshAttachment)) continue; + const vertices = attachment.updateWorldVertices(slot, false); + const sourceImage = imageFromAttachment(attachment); + const image = base.gpuDrawing ? sourceImage : imageForCanvas(sourceImage, context, base.premultipliedAlpha); + if (!image) continue; + context.globalAlpha = vertices[5]; + context.globalCompositeOperation = BLEND_MODES[slot.data.blendMode] || 'source-over'; + drawInterleaved(base, image, vertices, attachment instanceof spine.MeshAttachment ? attachment.triangles : QUAD_TRIANGLES); + } + } finally { context.globalAlpha = 1; context.globalCompositeOperation = composite; } + }; + return base; +} + +function create43Renderer(spine, context) { + const Renderer = rendererConstructor(spine); + if (!Renderer || !spine.SkeletonRendererCore) throw new Error('Spine 4.3 Canvas 渲染器不完整'); + const base = new Renderer(context); + base.triangleRendering = true; + base.premultipliedAlpha = false; + const core = new spine.SkeletonRendererCore(); + + base.draw = function drawWithCoreClipping(skeleton) { + const composite = context.globalCompositeOperation; + try { + const pma = !!base.premultipliedAlpha; + for (let command = core.render(skeleton, false); command; command = command.next) { + const sourceImage = command.texture && command.texture.getImage && command.texture.getImage(); + const image = base.gpuDrawing ? sourceImage : imageForCanvas(sourceImage, context, pma); + if (!image) continue; + context.globalAlpha = ((command.colors[0] >>> 24) & 255) / 255; + context.globalCompositeOperation = BLEND_MODES[command.blendMode] || 'source-over'; + const positions = command.positions; + const uvs = command.uvs; + const indices = command.indices; + for (let i = 0; i < command.numIndices; i += 3) { + const a = indices[i] * 2; + const b = indices[i + 1] * 2; + const c = indices[i + 2] * 2; + const unpack = packed => [((packed>>>16)&255)/255,((packed>>>8)&255)/255,(packed&255)/255,((packed>>>24)&255)/255]; + const colors = [a,b,c].flatMap(index => unpack(command.colors[index/2])); + const darkColors = [a,b,c].flatMap(index => unpack(command.darkColors[index/2])); + base.drawTriangle(image, + positions[a], positions[a + 1], uvs[a], uvs[a + 1], + positions[b], positions[b + 1], uvs[b], uvs[b + 1], + positions[c], positions[c + 1], uvs[c], uvs[c + 1], colors, darkColors); + } + } + } finally { + context.globalAlpha = 1; + context.globalCompositeOperation = composite; + } + }; + base.clipper = core.clipping; + return base; +} + +function createRenderer(spine, context, runtimeDir) { + const renderer = (runtimeDir === '3.4' || runtimeDir === '3.5') ? create34Renderer(spine, context) : runtimeDir === '4.3' + ? create43Renderer(spine, context) + : createLegacyRenderer(spine, context); + // Explicitly disable debug drawing in every supported runtime. + renderer.debugRendering = false; + return require('./spine-webgl-rasterizer.js').attach(renderer, context); +} + +module.exports = { createRenderer }; diff --git a/html/assets/spine/spine-webgl-rasterizer.js b/html/assets/spine/spine-webgl-rasterizer.js new file mode 100644 index 0000000..8aa147d --- /dev/null +++ b/html/assets/spine/spine-webgl-rasterizer.js @@ -0,0 +1,177 @@ +'use strict'; + +// Decode file bytes without the Canvas 2D premultiply/unpremultiply round trip. +// In low-alpha PMA pixels that round trip destroys RGB precision before blending. +const preparedTextures = new WeakMap(); +async function prepareTexture(image, blob) { + if (typeof createImageBitmap !== 'function') return; + const options = { colorSpaceConversion: 'none' }; + const [pma, straight] = await Promise.all([ + createImageBitmap(blob, { ...options, premultiplyAlpha: 'none' }), + createImageBitmap(blob, { ...options, premultiplyAlpha: 'premultiply' }) + ]); + preparedTextures.set(image, { pma, straight }); +} + +// Rasterize adjacent mesh triangles together, with GPU edge ownership rules. +// Canvas clip()+drawImage() anti-aliases each triangle separately and exposes +// the background along shared edges, which looks like a wireframe overlay. +function createRasterizer(context) { + const document = context.canvas && context.canvas.ownerDocument; + if (!document || typeof context.getTransform !== 'function') return null; + const canvas = document.createElement('canvas'); + const gl = canvas.getContext('webgl', { + alpha: true, premultipliedAlpha: true, antialias: true, + preserveDrawingBuffer: true, depth: false, stencil: false + }); + if (!gl) return null; + function shader(type, source) { + const shader = gl.createShader(type); + gl.shaderSource(shader, source); gl.compileShader(shader); + if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) throw new Error(gl.getShaderInfoLog(shader)); + return shader; + } + const vertex = shader(gl.VERTEX_SHADER, ` + attribute vec2 position; + attribute vec2 uv; + attribute vec4 light; + attribute vec4 dark; + uniform vec2 resolution; + varying vec2 textureUV; + varying vec4 lightColor; + varying vec4 darkColor; + void main() { + vec2 p = position / resolution * 2.0 - 1.0; + gl_Position = vec4(p.x, -p.y, 0.0, 1.0); + textureUV = uv; + lightColor = light; darkColor = dark; + }`); + const fragment = shader(gl.FRAGMENT_SHADER, ` + precision mediump float; + uniform sampler2D image; + varying vec2 textureUV; + varying vec4 lightColor; + varying vec4 darkColor; + void main() { + vec4 color = texture2D(image, textureUV); + float alpha = color.a * lightColor.a; + // Textures are PMA in GPU memory. Light/dark colors arrive straight. + vec3 rgb = (color.rgb * lightColor.rgb + (color.a - color.rgb) * darkColor.rgb) * lightColor.a; + gl_FragColor = vec4(rgb, alpha); + }`); + const program = gl.createProgram(); gl.attachShader(program, vertex); gl.attachShader(program, fragment); gl.linkProgram(program); + if (!gl.getProgramParameter(program, gl.LINK_STATUS)) throw new Error(gl.getProgramInfoLog(program)); + gl.deleteShader(vertex); gl.deleteShader(fragment); + const buffer = gl.createBuffer(); + const position = gl.getAttribLocation(program, 'position'), uv = gl.getAttribLocation(program, 'uv'); + const resolution = gl.getUniformLocation(program, 'resolution'); + const light = gl.getAttribLocation(program, 'light'), dark = gl.getAttribLocation(program, 'dark'); + const textures = new Map(); + let coordinates = [], currentImage = null, currentAlpha = 1, currentMode = 'source-over', transform; + let disposed = false, lost = false; + let premultipliedAlpha = false; + canvas.addEventListener('webglcontextlost', event => { event.preventDefault(); lost = true; }); + function texture(image) { + const pma = image !== context.canvas && premultipliedAlpha; + let pair = textures.get(image); + if (!pair) { pair = {}; textures.set(image, pair); } + const key = pma ? 'pma' : 'straight'; + if (pair[key] && image !== context.canvas) return pair[key]; + const t = pair[key] || gl.createTexture(); gl.bindTexture(gl.TEXTURE_2D, t); + // Premultiply before interpolation so translucent edges do not darken. + gl.pixelStorei(gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, !pma); + gl.pixelStorei(gl.UNPACK_FLIP_Y_WEBGL, false); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MIN_FILTER, gl.LINEAR); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_MAG_FILTER, gl.LINEAR); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_S, gl.CLAMP_TO_EDGE); + gl.texParameteri(gl.TEXTURE_2D, gl.TEXTURE_WRAP_T, gl.CLAMP_TO_EDGE); + const prepared = preparedTextures.get(image); + gl.texImage2D(gl.TEXTURE_2D, 0, gl.RGBA, gl.RGBA, gl.UNSIGNED_BYTE, prepared ? prepared[key] : image); + pair[key] = t; return t; + } + function flush() { + if (!coordinates.length) return; + gl.bindTexture(gl.TEXTURE_2D, texture(currentImage)); + // Premultiplied RGB factors; keep source-over alpha independently. + const factors = currentMode === 'lighter' ? [gl.ONE, gl.ONE] + : currentMode === 'multiply' ? [gl.DST_COLOR, gl.ONE_MINUS_SRC_ALPHA] + : currentMode === 'screen' ? [gl.ONE, gl.ONE_MINUS_SRC_COLOR] + : [gl.ONE, gl.ONE_MINUS_SRC_ALPHA]; + gl.blendFuncSeparate(factors[0], factors[1], gl.ONE, gl.ONE_MINUS_SRC_ALPHA); + gl.bufferData(gl.ARRAY_BUFFER, new Float32Array(coordinates), gl.STREAM_DRAW); + gl.drawArrays(gl.TRIANGLES, 0, coordinates.length / 12); + coordinates.length = 0; + } + return { + begin(pma = false) { + if (disposed || lost || gl.isContextLost()) return false; + premultipliedAlpha = pma; + const target = context.canvas; + if (canvas.width !== target.width) canvas.width = target.width; + if (canvas.height !== target.height) canvas.height = target.height; + transform = context.getTransform(); coordinates.length = 0; currentImage = null; + gl.viewport(0, 0, canvas.width, canvas.height); + gl.clearColor(0, 0, 0, 0); gl.clear(gl.COLOR_BUFFER_BIT); + gl.useProgram(program); gl.bindBuffer(gl.ARRAY_BUFFER, buffer); + gl.enableVertexAttribArray(position); gl.vertexAttribPointer(position, 2, gl.FLOAT, false, 48, 0); + gl.enableVertexAttribArray(uv); gl.vertexAttribPointer(uv, 2, gl.FLOAT, false, 48, 8); + gl.enableVertexAttribArray(light); gl.vertexAttribPointer(light, 4, gl.FLOAT, false, 48, 16); + gl.enableVertexAttribArray(dark); gl.vertexAttribPointer(dark, 4, gl.FLOAT, false, 48, 32); + gl.uniform2f(resolution, canvas.width, canvas.height); + gl.activeTexture(gl.TEXTURE0); gl.uniform1i(gl.getUniformLocation(program, 'image'), 0); + gl.enable(gl.BLEND); gl.blendFunc(gl.ONE, gl.ONE_MINUS_SRC_ALPHA); + // Seed the same framebuffer with the actual Canvas pixels (solid or + // checkerboard background). CSS backgrounds cannot participate in blending. + currentImage = target; currentAlpha = 1; currentMode = 'source-over'; + const w = canvas.width, h = canvas.height; + for (const vertex of [[0,0,0,0],[w,0,1,0],[w,h,1,1],[0,0,0,0],[w,h,1,1],[0,h,0,1]]) + coordinates.push(...vertex, 1,1,1,1, 0,0,0,0); + flush(); currentImage = null; + return true; + }, + triangle(image, x0, y0, u0, v0, x1, y1, u1, v1, x2, y2, u2, v2, colors, darkColors) { + const alpha = context.globalAlpha; + const mode = context.globalCompositeOperation || 'source-over'; + if (image !== currentImage || alpha !== currentAlpha || mode !== currentMode) { flush(); currentImage = image; currentAlpha = alpha; currentMode = mode; } + const t = transform; + const points = [[x0,y0,u0,v0],[x1,y1,u1,v1],[x2,y2,u2,v2]]; + for (let i=0; i<3; i++) { + const [x,y,u,v] = points[i], j=i*4; + coordinates.push(t.a*x+t.c*y+t.e, t.b*x+t.d*y+t.f, u,v, + ...(colors ? colors.slice(j,j+4) : [1,1,1,alpha]), + ...(darkColors ? darkColors.slice(j,j+4) : [0,0,0,0])); + } + }, + end() { + flush(); + context.save(); + try { context.setTransform(1, 0, 0, 1, 0, 0); context.globalAlpha = 1; context.globalCompositeOperation = 'copy'; context.drawImage(canvas, 0, 0); } + finally { context.restore(); } + }, + dispose() { + if (disposed) return; disposed = true; + for (const pair of textures.values()) for (const value of Object.values(pair)) gl.deleteTexture(value); + textures.clear(); gl.deleteBuffer(buffer); gl.deleteProgram(program); + const extension = gl.getExtension('WEBGL_lose_context'); if (extension) extension.loseContext(); + } + }; +} + +function attach(renderer, context) { + let rasterizer; + try { rasterizer = createRasterizer(context); } catch (e) { return renderer; } + if (!rasterizer) return renderer; + const draw = renderer.draw.bind(renderer), triangle = renderer.drawTriangle.bind(renderer); + renderer.draw = skeleton => { + if (!rasterizer.begin(!!renderer.premultipliedAlpha)) return draw(skeleton); + renderer.gpuDrawing = true; + renderer.drawTriangle = rasterizer.triangle; + try { draw(skeleton); rasterizer.end(); } + finally { renderer.drawTriangle = triangle; renderer.gpuDrawing = false; } + }; + renderer.dispose = rasterizer.dispose; + renderer.rasterization = 'webgl'; + return renderer; +} + +module.exports = { createRasterizer, attach, prepareTexture }; diff --git a/html/assets/ui-animlist.png b/html/assets/ui-animlist.png new file mode 100644 index 0000000000000000000000000000000000000000..8e8aa860d3c33cfe1e55af1de9808f8df6e2ac18 GIT binary patch literal 10955 zcmcI~byQUGzV847%#br6DKH?2beD)j3IY<+AV_yh=io?pNOzZjl(dADbcu?jNOw29 z?YZy0d)9sDt$W@dkHuQR%%1(*!~T6gIbo{Ga)fx)cpwmnQ2x1$8VG~|{EFcZ!32K% z7EuoXfnXqc8A%P#jO|QZUk%OEzCE*e`G-*gY7i!d0+2il!%K2FcDGclG7DPqrIY4+ zlAxS&2!ti)s&5?~u#SGPm>1d%*~RM$VWw4sGPEV99v|Kfi}@lg;$xB0yBGfFt)o6` zbK3nG3vFu|SF2IZXS;J-0v|0N&`dmgS6%JwGCGE4Cy_}v9nu5OYUir{`1Q*)YqYbpwduJ4=3#nM`fN58+wcp z6%A4v4;bs1m{8mIKlgk2lGm11&wH#5CRr!!5hM|1EAhkJ#)i$aU7=8oO;ZUWn)Zxw 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zd4vLNw9a<($$}9fK94MUGYa;a=_)l?o{+ffc`>Z0m=E#!N2$A zsk)!&&wXcGLs4dqD2v2hD~nHo>WzZF4#WTv z`1o5_ZKIX)HgYn+o>z`#SwC&0J_St6lqz1UXAw1FQ+) zPc?ql9*FqYSIrb3Ht*QZ%3m+@rSis$Y!9^B8f16~aSc1i_Za@`otC%Qa2L8-l2efJ zCi1~RfqM>2Q}0^yebV*~`VWgsyoO!`j_o6YamgA(0~{hUs5# z^N`S0*4NHu+BKA~$CS3lHDLV0Mliim^>RONa2T&|aE_$@-*#+&EBi5U-F9GI>9TJ_ ze?LElQUOBZd^tVe7A{#y25Q(xlKPgRUH}|$5NJR^UI6yeJp0!M(N?(5M3Hyv zR)A)s)0p_JoA0G|EsmNSeEs&+^zdQCJ>lcSD6Mqre{Xnw=Q0~i5z@^jtCPRNPX^ip z)KJuwD}q4W2o^y_1^PBN`u9nsB6=INKBO??LROSPY#+z>S-;2w>-T#J_E-LR-E#ea zF0SK%;{}u}5HkRgjT8o{br)s*Yw0y26O82sW$14gj-M6PJGEDgjaPy^%YmWt z$=z>VShrn%QM)yc6PBM%;momlAsYq$^%*H_t&&DpaBx?spK7Sy_E>La + + + + +SpineViewer — Eagle 插件 · 离线预览 Spine 骨骼动画 + + + + + + + + +

+
+ + SpineViewer 图标 + SpineViewer + v1.1.0 + + +
+ + 下载插件 +
+
+
+ +
+ + +
+ +
+
+ Eagle 插件 · 完全离线 · 无 CDN +

在 Eagle 里直接预览
Spine 骨骼动画

+

+ SpineViewer 接管 skel / skel.bytes / json / atlas / atlas.txt， + 自动在素材库中配对骨骼、图集与贴图，识别版本并加载本地运行时。 + 点开任意一个文件，就能播放动画、切换皮肤、导出缩略图。 +

+
+ 下载插件 + 体验界面 + 功能特性 → +
+
    +
  • 9内置运行时版本
    3.4 – 4.3
    • +
  • 8种界面语言
    简繁英日韩俄西德
    • +
  • 0网络请求
    运行时全部本地化
    • +
  • 400px缩略图自动生成
    可手动更新
    • +
+
+
+
+ SpineViewer 查看器界面：正在播放 Raptor 的 walk 动画，上方为浮动控制栏与动画列表，下方为时间轴 +
查看器窗口 · Raptor walk（Spine 4.3.75-beta）
+
+
+ Spine 官方 badge + 缩略图右下角带 Spine 官方 badge，左下角标注版本号（如 3.4.02） +
+
+
+
+
    +
  • skel
    • +
  • skel.bytes
    • +
  • json
    • +
  • atlas
    • +
  • atlas.txt
    • +
  • png / jpg / webp · 仍由 Eagle 原生预览
    • +
+
+
+ + +
+
+
+ FEATURES +

功能特性

+

下面每一项都对应插件的真实行为：跨 item 文件夹配对、旧版二进制解析、WebGL 渲染、缩略图补刷……不只是“能看动画”。

+
+
+
+ +

完全离线运行

+

官方运行时全部拷贝在插件本地 lib/ 目录，无 CDN、无网络请求。断网、内网环境同样可用。

+
+
+ +

跨文件夹自动配对

+

Eagle 会把每个文件拆成独立 item 文件夹。插件扫描同级目录，忽略 -pro / -ess / -pma 等后缀，自动关联骨骼、atlas 与贴图；点开贴图或 atlas 也能找到整套资源。

+
+
+ +

9 个版本自动识别

+

从骨骼数据读取版本号并匹配对应运行时：3.4 / 3.5 / 3.6 / 3.7 / 3.8 / 4.0 / 4.1 / 4.2 / 4.3，带 -beta 的完整版本号也会显示在水印中。

+
+
+ +

旧版二进制兼容

+

3.4–3.7 的 .skel / .skel.bytes 由移植自官方 SkeletonBinary 的解析层处理，保留网格、权重、变形、约束、裁剪与绘制顺序，无需编译或联网。

+
+
+ +

动画与皮肤切换

+

左上角浮动动画列表按需自适应，条目多时独立滚动，没有动画数据时自动隐藏；切换皮肤后按 setup pose 重建槽位附件，画面立即刷新。

+
+
+ +

完整时间轴

+

拖动定位、显示动画时长与帧号、秒刻度，蓝色短线标出骨骼 / 插槽 / 约束的关键帧位置，悬停即可查看时间与帧号。

+
+
+ +

精准回放控制

+

空格播放 / 暂停、循环开关、0–3x 速度调节；零时长动画自动按单帧静态姿势预览，不会出现空白画面。

+
+
+ +

WebGL 渲染 · PMA 预乘

+

WebGL 绘制网格三角形避免细线接缝，贴图直传 GPU，避免低透明度颜色被量化、光晕分层；预乘默认读取 atlas 的 pma 字段，手动切换后按素材记住。

+
+
+ +

缩略图自动化

+

导入即渲染首帧缩略图，带官方 badge 与版本号水印；资源暂时缺失时显示回退图，并在后台观察约两分钟，文件补齐稳定后自动生成、通知 Eagle 刷新。

+
+
+
    +
  • 复合后缀规范化 skel.bytes / atlas.txt
    • +
  • 50×50 方格背景（随缩放平移、参与混合）
    • +
  • 普通 JSON / TXT 安全放行
    • +
  • 8 种界面语言
    • +
  • 自动适配并居中
    • +
  • 左键平移 · 滚轮缩放 · 右键回中心
    • +
  • 设置存用户目录，不写 metadata.json
    • +
  • 手动缩略图跟随当前背景开关
    • +
+
+
+ + +
+
+
+ REAL UI +

实际界面

+

截图取自下方的交互演示，与插件查看器的控件布局、文案完全一致。浮动控制栏、动画列表与时间轴全部悬浮在画布上方，不挤占预览区域。

+
+ +
+
+ 查看器完整窗口截图 +
查看器窗口 · 点击可放大
+
+
+
+ 浮动控制栏截图 +
控制栏：皮肤、播放/暂停、循环、速度、背景、版本号、重载
+
+
+ 动画列表截图 +
动画列表：自适应宽度，条目多时独立滚动
+
+
+ 时间轴截图 +
时间轴：时长与帧号、秒刻度、蓝色关键帧短线
+
+
+
+ +
+
+

交互演示

+

复刻查看器的控件布局与文案，直接在页面上操作：切换动画、拖动时间轴、缩放画布试试。画面使用官方示例 Raptor（Spine 4.3.75-beta 导出，5 个动画），由 4.3 官方运行时 + 插件同款渲染模块在本地实时渲染，断网或直接双击打开同样可用。

+
+ +
+
+ + + + + + + Spine -- + +
+ + + +
+ +
+
+ +
+
+ 时长 -- + 蓝色短线：关键帧 +
+
+ + +
+
+ 0.00 / 0.00 秒 · 0 / 0 帧 +
+
+

空格 播放/暂停 · 左键拖拽平移 · 滚轮缩放 · 右键回到中心 · 拖动时间轴定位帧

+
+
+
+ + +
+
+
+ VERSIONS +

支持版本

+

覆盖 Spine 3.4 – 4.3：新版二进制直接支持，旧版二进制由同版本运行时与解析层处理。

+
+
    +
  • 3.4
  • 3.5
  • 3.6
  • 3.7
    • +
  • 3.8
  • 4.0
  • 4.1
  • 4.2
  • 4.3
    • +
+
+ + + + + + + + + + + + + + + + + + + + + +
版本支持格式说明
3.4 / 3.5JSON · SKEL · SKEL.BYTES · ATLAS · ATLAS.TXT使用官方 3.4.02 / 3.5.51 运行时与匹配的二进制分支，已验证多组官方示例的姿势对比。
3.6 / 3.7同上 + 二进制解析兼容层移植自官方同版本 spine-libgdx/SkeletonBinary.java；支持 3.7 的 IK 压缩/拉伸与音频事件字段，无需同时导入 JSON。
3.8 – 4.3JSON · SKEL / SKEL.BYTES · ATLAS二进制文件完整支持；4.3 等带 -beta 后缀的完整版本号也会显示在缩略图水印中。
+
+

损坏、截断或版本不匹配的文件会直接报告解析错误，不会以错误姿势渲染。

+
+
+ + +
+
+
+ WORKFLOW +

从导入到播放

+
+
    +
  1. + 01 +

    导入整套文件

    +

    把 .skel / .json + .atlas + .png 放在同一个文件夹导入 Eagle。

    +
    2. +
  2. + 02 +

    自动配对资源

    +

    点击任一文件，插件从同级 item 文件夹定位骨骼、atlas 与贴图，配套文件不在同一目录也能找到。

    +
    3. +
  3. + 03 +

    识别版本

    +

    读取骨骼数据中的版本号（JSON 读 skeleton.spine，SKEL 读二进制头部），加载匹配的本地运行时。

    +
    4. +
  4. + 04 +

    预览与缩略图

    +

    实时播放动画；缩略图自动生成，资源稍后补齐时会在后台自动重渲并通知 Eagle 刷新列表。

    +
    5. +
+
+
+ + +
+
+
+ INSTALL +

安装使用

+

在 Eagle 插件社区获取插件包，然后在 Eagle 插件面板（快捷键 P）安装即可。

+
+ + + Eagle 插件社区 + 在 Eagle 插件社区获取 SpineViewer + 插件页提供下载与安装说明；本页面不提供任何文件下载。 + + 前往插件页 → + +

原生二进制需要与目标平台匹配；如需自行构建，可在源码目录执行 npm ci --omit=dev 后从 Eagle 插件面板打包。

+ +
    +
  1. +

    安装插件

    +

    双击 .eagleplugin 安装；或在 Eagle 插件面板中右键选择“打包/加载插件”。

    +
    2. +
  2. +

    源码加载（可选）

    +

    克隆源码后在插件目录执行 npm ci --omit=dev，安装可选的 @napi-rs/canvas，再从插件面板加载。

    +
    3. +
  3. +

    导入素材

    +

    把同一套 Spine 导出文件放进同一个文件夹导入 Eagle，点击任意一个文件即可预览。

    +
    4. +
+ + +
+
+ + +
+
+
+ FAQ +

常见问题

+
+
+
+ 插件会接管普通图片吗？ +

不会。插件只接管 skel、skel.bytes、json、atlas、atlas.txt（以及为复合后缀注册的 bytes / txt）。普通图片仍由 Eagle 原生预览，普通 TXT 与 JSON 也会保持原样。

+
+
+ 预乘（PMA）设置保存在哪里？ +

保存在 Eagle 用户数据目录的 SpineViewer/preview-settings/ 下，按素材库与素材 ID 区分。不会修改 Eagle 的 metadata.json、标签或注释，也不会随素材导出到其他电脑。默认值读取配套 atlas 里的 pma 字段。

+
+
+ 为什么有些 JSON 打开后没有播放控件？ +

只有当 skeleton.spine 是有效版本号时，插件才按 Spine 骨骼数据处理。普通 JSON、JSONC、空版本字段会立即放行，不写缩略图、不扫描资源库，查看器此时显示格式化的 JSON 文本。

+
+
+ 3.6 / 3.7 的二进制解析可靠吗？ +

解析层移植自官方同版本 spine-libgdx/SkeletonBinary.java，并已验证官方 3.6.32 / 3.7.90 的七套示例。损坏、截断或版本不匹配会报告解析错误；官方 Raptor 数据中一条 IK 阶梯曲线的已知差异也已在测试中单独记录。

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+ 缩略图是怎么生成的？ +

使用 @napi-rs/canvas 在 Node 中跨 item 文件夹读取资源并渲染骨骼首帧，尺寸 400×400，右下角为 Spine 官方 badge，左下角为完整导出版本号。也可以在查看器里用当前帧一键生成；手动缩略图跟随当前背景开关。

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+ 资源不齐的文件会怎样？ +

缺少骨骼、atlas 或贴图时，前台最多短暂等待约半秒便显示回退图；后台会以逐步降频的方式观察约两分钟，链路补齐且文件稳定后自动生成缩略图并通知 Eagle 刷新。稍后补拖的文件会重新触发识别。

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没有找到答案？欢迎把问题或建议发到 1181558906@qq.com。

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+ SpineViewer + Eagle 插件 · v1.1.0 +
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+ + + + + + + + + + + + + + + diff --git a/html/style.css b/html/style.css new file mode 100644 index 0000000..3bb69c7 --- /dev/null +++ b/html/style.css @@ -0,0 +1,1190 @@ +/* ========================================================================== + SpineViewer 插件介绍网站样式 + - 品牌色取自插件图标（红），查看器演示区颜色取自 viewer/spine.html + - 零外部依赖，可离线打开 + ========================================================================== */ + +:root { + --bg: #131317; + --bg-2: #17171c; + --panel: #1c1c22; + --panel-2: #24242c; + --text: #e9e9ee; + --text-dim: #9d9da8; + --border: #2c2c35; + --accent: #f2353b; + --accent-2: #ff6a4d; + --cyan: #4fc1ff; + --card-shadow: 0 18px 40px rgba(0, 0, 0, .38); +} + +html[data-theme="light"] { + --bg: #f4f5f7; + --bg-2: #ebedf0; + --panel: #ffffff; + --panel-2: #f1f2f4; + --text: #1d1d22; + --text-dim: #63636e; + --border: #dcdee3; + --accent: #e01f26; + --accent-2: #ff5a3c; + --cyan: #0078d4; + --card-shadow: 0 16px 34px rgba(20, 20, 30, .10); +} + +* { box-sizing: border-box; } + +html { + scroll-behavior: smooth; + scroll-padding-top: 78px; +} + +body { + margin: 0; + background-color: var(--bg); + background-image: + radial-gradient(900px 520px at 12% 0%, color-mix(in srgb, var(--accent) 14%, transparent), transparent 62%), + radial-gradient(760px 460px at 88% 120px, color-mix(in srgb, var(--cyan) 10%, transparent), transparent 64%); + background-repeat: no-repeat; + color: var(--text); + font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "PingFang SC", "Microsoft YaHei", sans-serif; + font-size: 15px; + line-height: 1.6; + -webkit-font-smoothing: antialiased; +} + +::selection { background: color-mix(in srgb, var(--accent) 38%, transparent); } + +a { color: inherit; } + +code { + font-family: ui-monospace, "SFMono-Regular", Consolas, "Liberation Mono", monospace; + font-size: .86em; + background: color-mix(in srgb, var(--panel-2) 82%, transparent); + border: 1px solid var(--border); + border-radius: 6px; + padding: 1px 6px; + white-space: nowrap; +} + +kbd { + font-family: inherit; + font-size: .86em; + font-weight: 700; + background: var(--panel-2); + border: 1px solid var(--border); + border-bottom-width: 2px; + border-radius: 6px; + padding: 1px 7px; +} + +:focus-visible { + outline: 2px solid color-mix(in srgb, var(--cyan) 65%, transparent); + outline-offset: 2px; + border-radius: 6px; +} + +.wrap { + width: 100%; + max-width: 1140px; + margin: 0 auto; + padding: 0 22px; +} + +/* ---------- 顶栏 ---------- */ + +.topbar { + position: sticky; + top: 0; + z-index: 50; + background: color-mix(in srgb, var(--bg) 93%, transparent); + border-bottom: 1px solid var(--border); +} + +.topbar-inner { + display: flex; + align-items: center; + gap: 18px; + min-height: 62px; +} + +.brand { + display: inline-flex; + align-items: center; + gap: 10px; + text-decoration: none; + font-weight: 700; + letter-spacing: -0.01em; +} + +.brand img { border-radius: 8px; display: block; } + +.brand-name { font-size: 16px; } + +.brand-ver { + font-size: 11.5px; + font-weight: 600; + color: var(--text-dim); + border: 1px solid var(--border); + border-radius: 999px; + padding: 1px 9px; +} + +.nav { + margin-left: auto; + display: flex; + gap: 2px; +} + +.nav a { + text-decoration: none; + color: var(--text-dim); + font-size: 13.5px; + padding: 8px 12px; + border-radius: 8px; + transition: color .15s, background .15s; +} + +.nav a:hover { color: var(--text); background: var(--panel); } + +.topbar-actions { display: flex; align-items: center; gap: 10px; } + +.icon-btn { + width: 36px; + height: 36px; + display: grid; + place-items: center; + border-radius: 10px; + border: 1px solid var(--border); + background: var(--panel); + color: var(--text-dim); + cursor: pointer; + transition: color .15s, border-color .15s; +} + +.icon-btn:hover { color: var(--text); border-color: color-mix(in srgb, var(--accent) 45%, var(--border)); } + +.icon-btn svg { + width: 18px; + height: 18px; + fill: none; + stroke: currentColor; + stroke-width: 1.7; + stroke-linecap: round; + stroke-linejoin: round; +} + +.icon-sun { display: none; } +.icon-moon { display: block; } +html[data-theme="dark"] .icon-sun { display: block; } +html[data-theme="dark"] .icon-moon { display: none; } + +/* ---------- 按钮 ---------- */ + +.btn { + display: inline-flex; + align-items: center; + gap: 8px; + padding: 11px 20px; + border-radius: 11px; + font-size: 14px; + font-weight: 600; + text-decoration: none; + border: 1px solid transparent; + cursor: pointer; + transition: transform .16s, box-shadow .16s, border-color .16s, background .16s; + white-space: nowrap; +} + +.btn-primary { + background: linear-gradient(135deg, var(--accent), var(--accent-2)); + color: #fff; + box-shadow: 0 10px 26px color-mix(in srgb, var(--accent) 30%, transparent); +} + +.btn-primary:hover { transform: translateY(-1px); box-shadow: 0 14px 30px color-mix(in srgb, var(--accent) 38%, transparent); } + +.btn-ghost { + background: var(--panel); + border-color: var(--border); + color: var(--text); +} + +.btn-ghost:hover { border-color: color-mix(in srgb, var(--cyan) 45%, var(--border)); transform: translateY(-1px); } + +.btn-sm { padding: 8px 15px; font-size: 13px; border-radius: 9px; } + +.link-arrow { + color: var(--cyan); + text-decoration: none; + font-size: 14px; + font-weight: 600; +} + +.link-arrow:hover { text-decoration: underline; } + +/* ---------- Hero ---------- */ + +.hero { position: relative; padding: 70px 0 26px; overflow: hidden; } + +.hero-glow { + position: absolute; + left: 50%; + top: -140px; + transform: translateX(-50%); + width: min(1500px, 130vw); + height: 620px; + background: + radial-gradient(560px 300px at 26% 34%, color-mix(in srgb, var(--accent) 20%, transparent), transparent 66%), + radial-gradient(520px 300px at 74% 26%, color-mix(in srgb, var(--cyan) 15%, transparent), transparent 68%); + pointer-events: none; +} + +.hero-grid { + position: relative; + display: grid; + grid-template-columns: 1.02fr .98fr; + gap: 48px; + align-items: center; +} + +.pill { + display: inline-flex; + align-items: center; + gap: 8px; + padding: 7px 14px; + border-radius: 999px; + border: 1px solid var(--border); + background: color-mix(in srgb, var(--panel) 72%, transparent); + color: var(--text-dim); + font-size: 12.5px; +} + +.pill .dot { + width: 7px; + height: 7px; + border-radius: 50%; + background: #35d07f; + box-shadow: 0 0 0 0 rgba(53, 208, 127, .5); + animation: pulse 2.4s infinite; +} + +@keyframes pulse { + 0% { box-shadow: 0 0 0 0 rgba(53, 208, 127, .45); } + 70% { box-shadow: 0 0 0 7px rgba(53, 208, 127, 0); } + 100% { box-shadow: 0 0 0 0 rgba(53, 208, 127, 0); } +} + +.hero h1 { + margin: 20px 0 16px; + font-size: clamp(2.1rem, 4.1vw, 3.25rem); + line-height: 1.14; + letter-spacing: -0.022em; + font-weight: 800; +} + +.grad { + background: linear-gradient(115deg, var(--accent), var(--accent-2) 42%, var(--cyan)); + -webkit-background-clip: text; + background-clip: text; + color: transparent; +} + +.hero-sub { + margin: 0; + max-width: 560px; + color: var(--text-dim); + font-size: 15.5px; + line-height: 1.8; +} + +.hero-cta { + display: flex; + align-items: center; + gap: 16px; + flex-wrap: wrap; + margin: 28px 0 32px; +} + +.stats { + list-style: none; + display: grid; + grid-template-columns: repeat(4, 1fr); + gap: 12px; + padding: 0; + margin: 0; +} + +.stats li { + display: flex; + flex-direction: column; + gap: 4px; + padding: 13px 15px; + border: 1px solid var(--border); + border-radius: 13px; + background: color-mix(in srgb, var(--panel) 74%, transparent); +} + +.stats b { + font-size: 21px; + line-height: 1.1; + letter-spacing: -0.02em; + background: linear-gradient(120deg, var(--text), color-mix(in srgb, var(--cyan) 55%, var(--text))); + -webkit-background-clip: text; + background-clip: text; + color: transparent; +} + +.stats span { font-size: 11.5px; color: var(--text-dim); line-height: 1.55; } + +.hero-visual { display: flex; flex-direction: column; } + +.badge-chip { + display: flex; + align-items: center; + gap: 10px; + margin-top: 14px; + padding: 11px 14px; + border: 1px dashed var(--border); + border-radius: 12px; + color: var(--text-dim); + font-size: 12.5px; + line-height: 1.6; +} + +.badge-chip img { flex: none; border-radius: 5px; } + +.file-chips { + list-style: none; + display: flex; + flex-wrap: wrap; + gap: 10px; + padding: 0; + margin: 40px 0 0; +} + +.chip { + font-family: ui-monospace, "SFMono-Regular", Consolas, monospace; + font-size: 12px; + padding: 6px 13px; + border-radius: 999px; + border: 1px solid var(--border); + background: var(--panel); + color: var(--text-dim); +} + +.chip-on { + color: var(--cyan); + border-color: color-mix(in srgb, var(--cyan) 38%, var(--border)); + background: color-mix(in srgb, var(--cyan) 9%, var(--panel)); +} + +.chip-off { border-style: dashed; font-family: inherit; } + +/* ---------- 截图 ---------- */ + +.shot { + margin: 0; + border: 1px solid var(--border); + border-radius: 14px; + overflow: hidden; + background: var(--panel); + box-shadow: var(--card-shadow); +} + +.shot img { + display: block; + width: 100%; + height: auto; +} + +.shot .zoomable { cursor: zoom-in; } + +.shot figcaption { + padding: 9px 14px; + font-size: 12px; + color: var(--text-dim); + border-top: 1px solid var(--border); + background: color-mix(in srgb, var(--panel) 90%, transparent); + line-height: 1.6; +} + +.shot-hero { position: relative; } + +/* ---------- 通用区块 ---------- */ + +.section { padding: 86px 0; } + +.section.alt { + background: var(--bg-2); + border-top: 1px solid var(--border); + border-bottom: 1px solid var(--border); +} + +.section-head { max-width: 740px; margin-bottom: 42px; } + +.kicker { + font-size: 11.5px; + font-weight: 700; + letter-spacing: .2em; + color: var(--accent); +} + +.section h2 { + margin: 10px 0 12px; + font-size: clamp(1.6rem, 3vw, 2.15rem); + letter-spacing: -0.018em; +} + +.section-lead { + margin: 0; + color: var(--text-dim); + font-size: 15px; + line-height: 1.8; +} + +/* ---------- 功能特性 ---------- */ + +.features { + display: grid; + grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); + gap: 16px; +} + +.feature-card { + padding: 22px; + border: 1px solid var(--border); + border-radius: 16px; + background: var(--panel); + transition: transform .18s, border-color .18s, box-shadow .18s; +} + +.feature-card:hover { + transform: translateY(-3px); + border-color: color-mix(in srgb, var(--accent) 46%, var(--border)); + box-shadow: var(--card-shadow); +} + +.f-icon { + width: 40px; + height: 40px; + display: grid; + place-items: center; + margin-bottom: 16px; + border-radius: 11px; + border: 1px solid var(--border); + background: linear-gradient(135deg, color-mix(in srgb, var(--accent) 16%, var(--panel)), color-mix(in srgb, var(--cyan) 12%, var(--panel))); + color: var(--accent); +} + +html[data-theme="dark"] .f-icon { color: color-mix(in srgb, var(--accent) 80%, #fff); } + +.f-icon svg { + width: 20px; + height: 20px; + fill: none; + stroke: currentColor; + stroke-width: 1.7; + stroke-linecap: round; + stroke-linejoin: round; +} + +.feature-card h3 { margin: 0 0 9px; font-size: 16px; letter-spacing: -0.01em; } + +.feature-card p { + margin: 0; + color: var(--text-dim); + font-size: 13.8px; + line-height: 1.75; +} + +.chips { + list-style: none; + display: flex; + flex-wrap: wrap; + gap: 10px; + padding: 0; + margin: 26px 0 0; +} + +.chips li { + padding: 7px 14px; + border-radius: 999px; + border: 1px solid var(--border); + background: color-mix(in srgb, var(--panel) 80%, transparent); + color: var(--text-dim); + font-size: 12.5px; +} + +/* ---------- 实际界面 ---------- */ + +.gallery { display: grid; gap: 16px; } + +.crop-grid { + display: grid; + grid-template-columns: minmax(170px, 215px) 1fr; + gap: 16px; + align-items: start; +} + +.crop.toolbar { grid-column: 1 / -1; } + +.crop.animlist { grid-column: 1; } + +.crop.timeline { grid-column: 2; } + +.crop.animlist img { + display: block; + width: 100%; + max-width: 128px; + margin: 18px auto; + box-shadow: 0 6px 18px rgba(0, 0, 0, .35); + border-radius: 6px; +} + +.crop.toolbar img, .crop.timeline img { border-radius: 6px; } + +.demo-block { margin-top: 58px; } + +.demo-head h3 { margin: 0 0 8px; font-size: 19px; letter-spacing: -0.01em; } + +.demo-head p { margin: 0 0 20px; color: var(--text-dim); font-size: 14.5px; line-height: 1.75; max-width: 780px; } + +/* ---------- 查看器界面复刻（配色与 viewer/spine.html 一致） ---------- */ + +.viewer { + position: relative; + height: 560px; + overflow: hidden; + border: 1px solid var(--v-border); + border-radius: 14px; + background: var(--v-bg); + color: var(--v-text); + font-size: 13px; + box-shadow: var(--card-shadow); + user-select: none; + -webkit-user-select: none; + outline: none; + --v-bg: #1e1e1e; + --v-panel: #252526; + --v-panel-2: #2d2d30; + --v-text: #e6e6e6; + --v-dim: #9d9d9d; + --v-accent: #4fc1ff; + --v-border: #3c3c3c; +} + +html[data-theme="light"] .viewer { + --v-bg: #f3f4f6; + --v-panel: #ffffff; + --v-panel-2: #f0f0f0; + --v-text: #1f1f1f; + --v-dim: #6b6b6b; + --v-accent: #0078d4; + --v-border: #dcdcdc; +} + +.v-toolbar { + position: absolute; + top: 12px; + left: 12px; + right: 12px; + z-index: 10; + display: flex; + align-items: center; + gap: 10px; + flex-wrap: wrap; + padding: 8px 12px; + border: 1px solid var(--v-border); + border-radius: 8px; + background: color-mix(in srgb, var(--v-panel) 97%, transparent); + box-shadow: 0 5px 18px rgba(0, 0, 0, .25); +} + +.v-field, .v-check { + display: inline-flex; + align-items: center; + gap: 4px; + color: var(--v-dim); + font-size: 12.5px; + white-space: nowrap; +} + +.v-check { cursor: pointer; } + +.v-field select { + background: var(--v-panel-2); + color: var(--v-text); + border: 1px solid var(--v-border); + border-radius: 4px; + padding: 4px 6px; + font-size: 12.5px; + font-family: inherit; +} + +.v-field input[type="range"] { width: 108px; accent-color: var(--v-accent); } + +.v-btn { + background: var(--v-panel-2); + color: var(--v-text); + border: 1px solid var(--v-border); + border-radius: 4px; + padding: 5px 10px; + font-size: 12.5px; + font-family: inherit; + cursor: pointer; + white-space: nowrap; + transition: background .15s; +} + +.v-btn:hover { background: var(--v-border); } + +.v-btn:disabled { opacity: .45; cursor: default; } + +.v-icon { padding: 5px 9px; } + +.v-spacer { flex: 1; } + +.v-version { color: var(--v-dim); font-size: 12px; white-space: nowrap; } + +.v-anim-panel { + position: absolute; + top: calc(22px + 46px); + left: 12px; + z-index: 9; + display: flex; + flex-direction: column; + width: max-content; + min-width: 128px; + max-width: min(260px, 34vw); + max-height: calc(100% - 46px - 68px - 56px); + overflow: hidden; + border: 1px solid var(--v-border); + border-radius: 7px; + background: color-mix(in srgb, var(--v-panel) 97%, transparent); + box-shadow: 0 5px 18px rgba(0, 0, 0, .28); +} + +.v-anim-title { + padding: 8px 10px; + color: var(--v-dim); + font-size: 12px; + border-bottom: 1px solid var(--v-border); + flex: none; +} + +.v-anim-list { + overflow: auto; + padding: 5px; + scrollbar-width: thin; + scrollbar-color: color-mix(in srgb, var(--v-dim) 58%, transparent) transparent; +} + +.v-anim-list::-webkit-scrollbar { width: 8px; height: 8px; } + +.v-anim-list::-webkit-scrollbar-thumb { + min-height: 28px; + border: 2px solid transparent; + border-radius: 999px; + background: color-mix(in srgb, var(--v-dim) 58%, transparent); + background-clip: padding-box; +} + +.v-anim-item { + display: block; + width: 100%; + min-width: 116px; + max-width: 248px; + padding: 6px 8px; + margin: 0 0 2px; + border: 0; + border-radius: 4px; + background: transparent; + color: var(--v-text); + font-size: 12.5px; + font-family: inherit; + text-align: left; + overflow: hidden; + text-overflow: ellipsis; + white-space: nowrap; + cursor: pointer; +} + +.v-anim-item:hover { background: var(--v-panel-2); } + +.v-anim-item.active { + background: color-mix(in srgb, var(--v-accent) 20%, var(--v-panel)); + color: var(--v-accent); + box-shadow: inset 3px 0 0 var(--v-accent); +} + +.v-stage { position: absolute; inset: 0; overflow: hidden; cursor: grab; } + +.v-stage.dragging { cursor: grabbing; } + +.v-stage canvas { position: absolute; inset: 0; width: 100%; height: 100%; display: block; } + +.v-status { + position: absolute; + bottom: calc(22px + 68px); + left: 12px; + color: var(--v-dim); + font-size: 12px; + pointer-events: none; + opacity: 0; + transition: opacity .25s; + text-shadow: 0 1px 2px rgba(0, 0, 0, .3); +} + +.v-status.show { opacity: 1; } + +.v-timeline { + position: absolute; + left: 12px; + right: 12px; + bottom: 12px; + z-index: 10; + display: flex; + align-items: center; + gap: 10px; + padding: 6px 12px; + border: 1px solid var(--v-border); + border-radius: 8px; + background: color-mix(in srgb, var(--v-panel) 97%, transparent); + box-shadow: 0 -4px 18px rgba(0, 0, 0, .22); +} + +.v-tl-labels { + display: flex; + flex-direction: column; + justify-content: space-between; + align-self: stretch; + min-width: 136px; + padding: 8px 0 1px; +} + +.v-tl-label { color: var(--v-dim); font-size: 12px; white-space: nowrap; } + +.v-tl-legend { + display: flex; + align-items: center; + gap: 6px; + color: var(--v-dim); + font-size: 11px; + white-space: nowrap; + cursor: help; +} + +.v-tl-legend::before { + content: ""; + width: 10px; + height: 7px; + border-radius: 1px; + background: var(--v-accent); + opacity: .7; +} + +.v-track { position: relative; flex: 1; padding: 20px 0 0; min-width: 0; } + +.v-track input[type="range"] { + -webkit-appearance: none; + appearance: none; + display: block; + width: 100%; + height: 16px; + margin: 0; + background: transparent; + cursor: pointer; +} + +.v-track input[type="range"]::-webkit-slider-runnable-track { + height: 4px; + border-radius: 2px; + background: color-mix(in srgb, var(--v-dim) 38%, transparent); +} + +.v-track input[type="range"]::-webkit-slider-thumb { + -webkit-appearance: none; + width: 14px; + height: 14px; + margin-top: -5px; + border: 0; + border-radius: 50%; + background: var(--v-accent); + box-shadow: 0 0 0 4px color-mix(in srgb, var(--v-accent) 22%, transparent); +} + +.v-track input[type="range"]::-moz-range-track { + height: 4px; + border-radius: 2px; + background: color-mix(in srgb, var(--v-dim) 38%, transparent); +} + +.v-track input[type="range"]::-moz-range-thumb { + width: 14px; + height: 14px; + border: 0; + border-radius: 50%; + background: var(--v-accent); +} + +.v-track input[type="range"]:disabled { opacity: .45; cursor: default; } + +.v-ruler { position: absolute; top: 0; left: 7px; right: 7px; height: 19px; } + +.v-ruler .tick { + position: absolute; + bottom: 0; + width: 1px; + height: 5px; + background: var(--v-border); + transform: translateX(-.5px); +} + +.v-ruler .tick.major { height: 9px; background: var(--v-dim); } + +.v-ruler .tick-label { + position: absolute; + bottom: 8px; + color: var(--v-dim); + font-size: 10px; + font-variant-numeric: tabular-nums; + transform: translateX(-50%); + white-space: nowrap; +} + +.v-ruler .tick-label.first { transform: none; } + +.v-ruler .tick-label.last { transform: translateX(-100%); } + +.v-keys { position: relative; height: 8px; margin-top: 2px; } + +.v-keys span { + position: absolute; + top: 0; + width: 3px; + height: 8px; + background: var(--v-accent); + opacity: .62; + transform: translateX(-1.5px); + cursor: help; + transition: opacity .12s, transform .12s; +} + +.v-keys span:hover { opacity: 1; transform: translateX(-1.5px) scaleY(1.35); } + +.v-readout { + color: var(--v-dim); + font-size: 12px; + min-width: 178px; + font-variant-numeric: tabular-nums; + white-space: nowrap; + text-align: right; +} + +.demo-hint { + margin: 14px 0 0; + text-align: center; + color: var(--text-dim); + font-size: 12.5px; +} + +/* ---------- 支持版本 ---------- */ + +.v-chips { + list-style: none; + display: flex; + flex-wrap: wrap; + align-items: center; + gap: 10px; + padding: 0; + margin: 0 0 28px; +} + +.v-chips li { + padding: 8px 18px; + border: 1px solid var(--border); + border-radius: 11px; + background: var(--panel); + font-weight: 600; + font-size: 14px; + font-variant-numeric: tabular-nums; +} + +.v-chips li.sep { border: 0; background: none; color: var(--text-dim); padding: 0; font-weight: 400; } + +.v-table-wrap { + overflow-x: auto; + border: 1px solid var(--border); + border-radius: 14px; + background: var(--panel); +} + +.v-table { width: 100%; min-width: 660px; border-collapse: collapse; font-size: 13.5px; } + +.v-table th { + text-align: left; + padding: 13px 18px; + font-size: 11.5px; + font-weight: 600; + letter-spacing: .1em; + color: var(--text-dim); + background: color-mix(in srgb, var(--panel-2) 70%, var(--panel)); + border-bottom: 1px solid var(--border); +} + +.v-table td { + padding: 15px 18px; + border-bottom: 1px solid var(--border); + line-height: 1.7; + vertical-align: top; + color: var(--text); +} + +.v-table tr:last-child td { border-bottom: 0; } + +.v-table td:first-child { white-space: nowrap; } + +.v-note { margin: 14px 0 0; color: var(--text-dim); font-size: 13px; } + +/* ---------- 工作流程 ---------- */ + +.steps { + list-style: none; + display: grid; + grid-template-columns: repeat(auto-fit, minmax(240px, 1fr)); + gap: 16px; + padding: 0; + margin: 0; +} + +.step { + padding: 22px; + border: 1px solid var(--border); + border-radius: 16px; + background: var(--panel); + position: relative; +} + +.step-num { font-size: 12px; font-weight: 700; letter-spacing: .14em; color: var(--accent); } + +.step h3 { margin: 12px 0 8px; font-size: 15.5px; } + +.step p { margin: 0; color: var(--text-dim); font-size: 13.5px; line-height: 1.75; } + +/* ---------- 安装使用 ---------- */ + +.dl-cta { + display: flex; + align-items: center; + justify-content: space-between; + gap: 20px; + flex-wrap: wrap; + padding: 22px 24px; + border: 1px solid var(--border); + border-radius: 16px; + background: var(--panel); + text-decoration: none; + color: var(--text); + transition: transform .18s, border-color .18s, box-shadow .18s; +} + +.dl-cta:hover { + transform: translateY(-3px); + border-color: color-mix(in srgb, var(--cyan) 50%, var(--border)); + box-shadow: var(--card-shadow); +} + +.dl-cta-info { display: flex; flex-direction: column; gap: 7px; min-width: 0; } + +.dl-cta strong { font-size: 16px; letter-spacing: -0.01em; } + +.dl-os { font-size: 12px; font-weight: 700; letter-spacing: .06em; color: var(--cyan); } + +.dl-meta { font-size: 12.5px; color: var(--text-dim); } + +.dl-note { margin: 16px 0 0; color: var(--text-dim); font-size: 12.5px; } + +.install-steps { + list-style: none; + display: grid; + grid-template-columns: repeat(auto-fit, minmax(260px, 1fr)); + gap: 16px; + padding: 0; + margin: 34px 0 0; +} + +.install-steps li { + padding: 20px; + border: 1px dashed var(--border); + border-radius: 14px; + background: color-mix(in srgb, var(--panel) 72%, transparent); +} + +.install-steps h3 { margin: 0 0 8px; font-size: 14.5px; } + +.install-steps p { margin: 0; color: var(--text-dim); font-size: 13px; line-height: 1.75; } + +.callout { + margin-top: 26px; + padding: 18px 20px; + border: 1px solid color-mix(in srgb, var(--cyan) 32%, var(--border)); + border-radius: 14px; + background: color-mix(in srgb, var(--cyan) 7%, var(--panel)); +} + +.callout strong { display: block; margin-bottom: 6px; font-size: 14px; } + +.callout p { margin: 0; color: var(--text-dim); font-size: 13.5px; line-height: 1.75; } + +/* ---------- 常见问题 ---------- */ + +.faq { display: grid; gap: 12px; max-width: 880px; } + +.faq details { + border: 1px solid var(--border); + border-radius: 14px; + background: var(--panel); + padding: 2px 20px; + transition: border-color .2s; +} + +.faq details[open] { border-color: color-mix(in srgb, var(--accent) 38%, var(--border)); } + +.faq summary { + display: flex; + align-items: center; + justify-content: space-between; + gap: 14px; + padding: 16px 0; + font-size: 14.5px; + font-weight: 600; + cursor: pointer; + list-style: none; +} + +.faq summary::-webkit-details-marker { display: none; } + +.faq summary::after { + content: "+"; + font-size: 19px; + font-weight: 400; + color: var(--accent); + transition: transform .2s; + flex: none; +} + +.faq details[open] summary::after { transform: rotate(45deg); } + +.faq details p { margin: 0 0 18px; color: var(--text-dim); font-size: 13.5px; line-height: 1.8; } + +.faq-contact { margin: 20px 0 0; color: var(--text-dim); font-size: 14px; } + +.faq-contact a { + color: var(--cyan); + font-weight: 600; + text-decoration: none; +} + +.faq-contact a:hover { text-decoration: underline; } + +/* ---------- 页脚 ---------- */ + +.footer { + border-top: 1px solid var(--border); + background: var(--bg-2); + padding: 40px 0 46px; +} + +.footer-inner { display: flex; align-items: center; } + +.foot-brand { display: flex; align-items: center; gap: 12px; } + +.foot-brand img { border-radius: 9px; } + +.foot-brand strong { display: block; font-size: 15px; } + +.foot-brand span { color: var(--text-dim); font-size: 12.5px; } + +/* ---------- 图片放大 ---------- */ + +.lightbox { + position: fixed; + inset: 0; + z-index: 100; + display: grid; + place-items: center; + padding: 4vmin; + background: rgba(8, 8, 11, .92); + cursor: zoom-out; + animation: fade .18s ease-out; +} + +.lightbox[hidden] { display: none; } + +.lightbox img { + max-width: 94vw; + max-height: 90vh; + border-radius: 12px; + border: 1px solid rgba(255, 255, 255, .18); + box-shadow: 0 34px 90px rgba(0, 0, 0, .6); +} + +@keyframes fade { from { opacity: 0; } to { opacity: 1; } } + +/* ---------- 滚动出现 ---------- */ + +.reveal { + opacity: 0; + transform: translateY(16px); + transition: opacity .55s ease, transform .55s ease; +} + +.reveal.visible { opacity: 1; transform: none; } + +@media (prefers-reduced-motion: reduce) { + html { scroll-behavior: auto; } + .reveal { opacity: 1; transform: none; transition: none; } + .pill .dot { animation: none; } +} + +/* ---------- 响应式 ---------- */ + +@media (max-width: 1020px) { + .hero-grid { grid-template-columns: 1fr; gap: 36px; } + .stats { grid-template-columns: repeat(2, 1fr); } + .crop-grid { grid-template-columns: 1fr; } + .crop.toolbar, .crop.animlist, .crop.timeline { grid-column: 1; } + .crop.animlist img { max-width: 132px; } +} + +@media (max-width: 880px) { + .nav { display: none; } + .topbar-actions { margin-left: auto; } + .section { padding: 64px 0; } + .viewer { height: 540px; } +} + +@media (max-width: 720px) { + .hero { padding-top: 52px; } + .v-toolbar { top: 8px; left: 8px; right: 8px; gap: 8px; padding: 8px 10px; } + .v-anim-panel { + top: 152px; + left: 8px; + max-height: calc(100% - 152px - 96px); + } + .v-timeline { left: 8px; right: 8px; bottom: 8px; gap: 8px; padding: 6px 10px; } + .v-tl-labels { min-width: 104px; } + .v-readout { font-size: 11px; } + .v-version { display: none; } +} + +@media (max-width: 520px) { + .wrap { padding: 0 16px; } + .stats { grid-template-columns: 1fr 1fr; gap: 10px; } + .brand-ver { display: none; } + .viewer { height: 520px; } + .v-tl-labels { min-width: 96px; } + .v-tl-legend { font-size: 10px; } + .v-readout { display: none; } +}