iOS preflight: fail fast when CN1Widgets has no provisioning profile (#6008) by shai-almog · Pull Request #6113 · codenameone/CodenameOne

shai-almog · 2026-10-26T16:29:40Z

IOSProvisioningPreflight.checkGeneratedExtensions now covers the generated CN1Widgets target: when the staged classes reference com.codename1.surfaces (constant-pool scan: class names and descriptors, not string literals), ios.surfaces.extension is not false, and no CN1Widgets profile is configured, the build is refused locally with the App ID to create (<package>.CN1Widgets + App Groups), the setting/hint that supply the profile, the Certificate Wizard and the opt-out. A path-valued widget profile for the wrong App ID is refused too.
Automatic signing / ios-source / simulator are untouched (appliesTo).
Builder backstop for older clients: codenameone/BuildDaemon branch widgets-profile-preflight-6008.

Tests: IOSAppExtensionSigningPreflightTest (36 pass), scanner checked against all 4308 core classes.

🤖 Generated with Claude Code

…anual signing (#6008) An app that names com.codename1.surfaces gets a generated CN1Widgets target that needs its own App ID (with App Groups) and profile. With only the app's profile the cloud build ran until xcodebuild failed on the bundle-ID mismatch. The preflight now scans the staged jar for the same signal IPhoneBuilder uses and reports the App ID, the setting/hint that supply the profile and the Certificate Wizard before a build is spent. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

…ed widget profile's App ID Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

…ualified one is not a file Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

shai-almog · 2026-10-26T17:00:46Z

Compared 191 screenshots: 191 matched.

Native Android coverage

📊 Line coverage: 18.90% (48250/255341 lines covered) [HTML preview] (artifact android-coverage-report, jacocoAndroidReport/html/index.html)
- Other counters: instruction 17.64% (229182/1299035), branch 12.04% (16819/139675), complexity 9.67% (12912/133466), method 14.57% (9122/62628), class 25.16% (1774/7052)
- Lowest covered classes
  - kotlin.collections.kotlin.collections.ArraysKt___ArraysKt – 0.00% (0/6367 lines covered)
  - kotlin.collections.unsigned.kotlin.collections.unsigned.UArraysKt___UArraysKt – 0.00% (0/2384 lines covered)
  - org.jacoco.agent.rt.internal_0e20598.asm.org.jacoco.agent.rt.internal_0e20598.asm.ClassReader – 0.00% (0/1524 lines covered)
  - org.jacoco.agent.rt.internal_0e20598.asm.org.jacoco.agent.rt.internal_0e20598.asm.MethodWriter – 0.00% (0/922 lines covered)
  - kotlin.sequences.kotlin.sequences.SequencesKt___SequencesKt – 0.00% (0/736 lines covered)
  - com.google.common.cache.com.google.common.cache.LocalCache$Segment – 0.00% (0/726 lines covered)
  - okio.okio.Buffer – 0.00% (0/687 lines covered)
  - kotlin.text.kotlin.text.StringsKt___StringsKt – 0.00% (0/625 lines covered)
  - com.codename1.androidcompat.rt.com.codename1.androidcompat.rt.TextXmlPullParser – 0.00% (0/623 lines covered)
  - com.codename1.androidcompat.androidx.constraintlayout.core.widgets.com.codename1.androidcompat.androidx.constraintlayout.core.widgets.Flow – 0.00% (0/576 lines covered)

✅ Native Android screenshot tests passed.

Native Android coverage

📊 Line coverage: 18.90% (48250/255341 lines covered) [HTML preview] (artifact android-coverage-report, jacocoAndroidReport/html/index.html)
- Other counters: instruction 17.64% (229182/1299035), branch 12.04% (16819/139675), complexity 9.67% (12912/133466), method 14.57% (9122/62628), class 25.16% (1774/7052)
- Lowest covered classes
  - kotlin.collections.kotlin.collections.ArraysKt___ArraysKt – 0.00% (0/6367 lines covered)
  - kotlin.collections.unsigned.kotlin.collections.unsigned.UArraysKt___UArraysKt – 0.00% (0/2384 lines covered)
  - org.jacoco.agent.rt.internal_0e20598.asm.org.jacoco.agent.rt.internal_0e20598.asm.ClassReader – 0.00% (0/1524 lines covered)
  - org.jacoco.agent.rt.internal_0e20598.asm.org.jacoco.agent.rt.internal_0e20598.asm.MethodWriter – 0.00% (0/922 lines covered)
  - kotlin.sequences.kotlin.sequences.SequencesKt___SequencesKt – 0.00% (0/736 lines covered)
  - com.google.common.cache.com.google.common.cache.LocalCache$Segment – 0.00% (0/726 lines covered)
  - okio.okio.Buffer – 0.00% (0/687 lines covered)
  - kotlin.text.kotlin.text.StringsKt___StringsKt – 0.00% (0/625 lines covered)
  - com.codename1.androidcompat.rt.com.codename1.androidcompat.rt.TextXmlPullParser – 0.00% (0/623 lines covered)
  - com.codename1.androidcompat.androidx.constraintlayout.core.widgets.com.codename1.androidcompat.androidx.constraintlayout.core.widgets.Flow – 0.00% (0/576 lines covered)

Benchmark Results

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	scalar fallback (no native SIMD)
SIMD int-add (64K x300)	java 81ms / native 43ms = 1.8x speedup
SIMD float-mul (64K x300)	java 96ms / native 42ms = 2.2x speedup
SIMD kernel correctness	PASS (native result == scalar reference)
Base64 payload size	8192 bytes
Base64 benchmark iterations	6000
Base64 SIMD byte path	gated to scalar (CPU autovectorizes scalar; explicit SIMD not beneficial here)
Base64 CN1 encode	52.000 ms
Base64 CN1 decode	53.000 ms
Base64 native encode	420.000 ms
Base64 encode ratio (CN1/native)	0.124x (87.6% faster)
Base64 native decode	224.000 ms
Base64 decode ratio (CN1/native)	0.237x (76.3% faster)
Image encode benchmark status	skipped (SIMD unsupported)

shai-almog · 2026-10-26T17:09:51Z

Compared 227 screenshots: 227 matched.
✅ JavaScript-port screenshot tests passed.

github-actions · 2026-10-26T17:23:20Z

✅ Continuous Quality Report

Test & Coverage

✅ Tests: 14604 total, 0 failed, 161 skipped
📊 Line coverage: 64.97% [HTML preview] [Download]
- Lowest covered classes
  - com.codename1.io.zip.ZipArchiveOutputStream – 0.00%
  - com.codename1.gaming.level.GameSceneView – 0.00%
  - com.codename1.crash.CrashProtection – 0.00%
  - com.codename1.mapping.JsonValues – 0.00%
  - com.codename1.payment.CommerceManager – 0.00%
  - com.codename1.wearable.WearableMessage – 0.00%
  - com.codename1.ui.plaf.GlassLensBlend – 0.00%
  - com.codename1.vr.VRView – 0.00%
  - com.codename1.appreview.RatingDialog – 0.00%
  - com.codename1.db.ManagedKeys – 0.00%

Static Analysis

SpotBugs [Report archive]
- ✅ ByteCodeTranslator: 0 findings (no issues)
- ✅ android: 0 findings (no issues)
- ✅ android-compat: 0 findings (no issues)
- ✅ android-res-compiler: 0 findings (no issues)
- ✅ backend: 0 findings (no issues)
- ✅ backend-test: 0 findings (no issues)
- ✅ build-engine: 0 findings (no issues)
- ✅ build-hint-catalog: 0 findings (no issues)
- ✅ build-hint-tools: 0 findings (no issues)
- ✅ codenameone-gradle-plugin: 0 findings (no issues)
- ✅ codenameone-maven-plugin: 0 findings (no issues)
- ✅ core-unittests: 0 findings (no issues)
- ✅ desktop-compat-runtime: 0 findings (no issues)
- ✅ fxml-compiler: 0 findings (no issues)
- ✅ ios: 0 findings (no issues)
- ✅ javac: 0 findings (no issues)
- ✅ javafx-compat: 0 findings (no issues)
- ✅ project-model: 0 findings (no issues)
- ✅ swing-compat: 0 findings (no issues)
✅ PMD: 0 findings (no issues) [Report archive]
✅ Checkstyle: 0 findings (no issues) [Report archive]

Generated automatically by the PR CI workflow.

github-actions · 2026-10-26T18:28:08Z

✅ ByteCodeTranslator Quality Report

Test & Coverage

✅ Tests: 881 total, 0 failed, 55 skipped

Benchmark Results

Execution Time: 8191 ms
Hotspots (Top 20 sampled methods):
- 8.69% com.codename1.tools.translator.IteratorEscape.mangle (106 samples)
- 7.62% java.lang.Object.hashCode (93 samples)
- 6.89% java.util.ArrayList.indexOf (84 samples)
- 5.82% java.lang.System.identityHashCode (71 samples)
- 5.00% com.codename1.tools.translator.BytecodeMethod.updateInlinableFieldDependencies (61 samples)
- 4.75% com.codename1.tools.translator.BytecodeMethod.equals (58 samples)
- 3.61% com.codename1.tools.translator.classfile.analysis.Frame.execute (44 samples)
- 3.20% java.lang.StringBuilder.append (39 samples)
- 2.30% java.lang.String.equals (28 samples)
- 1.80% com.codename1.tools.translator.JavascriptReachability.enqueueResolved (22 samples)
- 1.72% com.codename1.tools.translator.IteratorEscape.ctorOnlyStoresParamsIntoThis (21 samples)
- 1.72% java.util.HashMap.hash (21 samples)
- 1.56% com.codename1.tools.translator.Parser.cullMethods (19 samples)
- 1.23% java.io.FileOutputStream.open0 (15 samples)
- 1.07% java.io.FileOutputStream.writeBytes (13 samples)
- 1.07% java.util.AbstractCollection.containsAll (13 samples)
- 1.07% com.codename1.tools.translator.bytecodes.Invoke.findMethodUp (13 samples)
- 0.98% com.codename1.tools.translator.ByteCodeClass.hasDeclaredMethod (12 samples)
- 0.90% com.codename1.tools.translator.BytecodeMethod.appendMethodC (11 samples)
- 0.90% com.codename1.tools.translator.BytecodeMethod.isFramelessEligibleImpl (11 samples)
⚠️ Coverage report not generated.

Static Analysis

✅ SpotBugs: no findings (report was not generated by the build).
⚠️ PMD report not generated.
⚠️ Checkstyle report not generated.

Generated automatically by the PR CI workflow.

github-actions · 2026-10-26T20:33:40Z

Flutter vs Codename One

Same application, built both ways: Flutter's AOT compile of the gallery, and the identical Dart source transpiled to Java on Codename One. Lower is better for every metric, so a ratio above 1.00x means Codename One is ahead by that factor.

android

9 interleaved rounds; host load 0.4, 1.69, 1.48

Metric	Codename One	Flutter	Ratio	Winner
Installed size	78.2 MB	95.8 MB	1.22x	Codename One
Executable code	4.7 MB	20.6 MB	4.41x	Codename One
Download size (zipped)	78.2 MB	95.8 MB	1.22x	Codename One
Cold start to first frame on screen	400 ms	1597 ms	3.66x	Codename One
Memory at rest	45.6 MB	78.5 MB	1.72x	Codename One

Start-up and memory at rest are judged round by round: the ratio is the median of the per-round ratios, each from two launches made back to back, and the times and sizes shown are each side's median, so the ratio need not equal their quotient. Codename One was ahead in 9 of 9 rounds on cold start to first frame on screen; 9 of 9 rounds on memory at rest.

Compute -- the VM workloads (vm/benchmarks), run inside each app; time is the best of the app's own repetitions, higher ratio means Codename One is faster.

Workload	Codename One	Flutter	Ratio
intArithmetic	95 ms	188 ms	1.98x
longArithmetic	57 ms	59 ms	1.03x
mathTranscendental	226 ms	351 ms	1.55x
arraySequential	26 ms	36 ms	1.39x
arrayRandom	324 ms	481 ms	1.49x
objectAllocation	67 ms	49 ms	0.73x
valueEscape	7 ms	7 ms	1.00x
hashMapChurn	139 ms	295 ms	2.12x
stringBuilding	95 ms	134 ms	1.41x
recursion	81 ms	275 ms	3.40x
quicksortBench	128 ms	153 ms	1.20x
Geometric mean			1.45x

Gate: within tolerance against scripts/flutter-bench/baseline.

Android sizes are for the arm64-v8a slice a phone is delivered, on both sides; Flutter's release apk carries three ABIs and would otherwise count its engine about three times.
Android start-up and memory come from an x86_64 emulator with a software GPU. They compare the two runtimes on one machine; they are not phone timings, and a renderer that leans on the GPU is penalised more there.
This platform's adapter has not been exercised end to end before; treat the first published run as the thing under review.

ios

9 interleaved rounds; host load 26.78, 30.29, 26.98

Metric	Codename One	Flutter	Ratio	Winner
Installed size	108.2 MB	110.5 MB	1.02x	Codename One
Executable code	17.2 MB	19.1 MB	1.11x	Codename One
Download size (zipped)	80.0 MB	81.9 MB	1.02x	Codename One
Cold start to first frame on screen	--	--	--	not measured
Memory at rest	--	--	--	not measured

Compute -- the VM workloads (vm/benchmarks), run inside each app; time is the best of the app's own repetitions, higher ratio means Codename One is faster.

Not measured: iOS compute is not measured: a device build needs signed hardware, and on the simulator Flutter runs its JIT debug engine rather than AOT code. The macOS row runs the same ParparVM and Dart AOT compilers on the same Apple silicon.

Gate: within tolerance against scripts/flutter-bench/baseline. Smaller than its baseline, which does not fail the gate: Executable code -7.25% -- rebaseline to tighten. To accept the move, download this platform's baseline-<platform>.json artifact and run python3 scripts/flutter-bench/flutter_baseline.py calibrate --pr 6113 --reason "<why these moved>" baseline-ios.json, then commit the overlay it writes.

iOS start-up and memory are not measured here: Flutter cannot AOT-compile for the simulator, so a simulator run would time a JIT debug build against a release build. Sizes come from release device bundles; timings need signed hardware.
This platform's adapter has not been exercised end to end before; treat the first published run as the thing under review.

javascript

9 interleaved rounds; host load 2.41, 1.41, 0.6

Metric	Codename One	Flutter	Ratio	Winner
Installed size	104.0 MB	122.5 MB	1.18x	Codename One
Executable code	12.9 MB	25.2 MB	1.95x	Codename One
Download size (zipped)	76.3 MB	84.1 MB	1.10x	Codename One
Cold start to first frame on screen	--	--	--	not measured
Memory at rest	--	--	--	not measured

Compute -- the VM workloads (vm/benchmarks), run inside each app; time is the best of the app's own repetitions, higher ratio means Codename One is faster.

Workload	Codename One	Flutter	Ratio
intArithmetic	646 ms	wrong result	Flutter: wrong result
longArithmetic	5079 ms	did not run	Flutter: did not run
mathTranscendental	570 ms	did not run	Flutter: did not run
arraySequential	237 ms	82 ms	0.35x
arrayRandom	970 ms	wrong result	Flutter: wrong result
objectAllocation	38 ms	28 ms	0.74x
valueEscape	154 ms	7 ms	0.04x
hashMapChurn	1141 ms	240 ms	0.21x
stringBuilding	507 ms	108 ms	0.21x
recursion	508 ms	493 ms	0.97x
quicksortBench	419 ms	wrong result	Flutter: wrong result
Geometric mean			0.28x

Gate: within tolerance against scripts/flutter-bench/baseline; BEHIND FLUTTER on Compute (geomean of the VM workloads) (reported, not gated: a loss to Flutter on the web is currently accepted).

the JavaScript adapter needs a Chrome DevTools driver; sizes are reported and timings are not
This platform's adapter has not been exercised end to end before; treat the first published run as the thing under review.

linux

9 interleaved rounds; host load 0.18, 2.74, 2.37

Metric	Codename One	Flutter	Ratio	Winner
Installed size	111.5 MB	143.8 MB	1.29x	Codename One
Executable code	14.1 MB	16.1 MB	1.15x	Codename One
Download size (zipped)	80.9 MB	92.9 MB	1.15x	Codename One
Cold start to first frame on screen	155 ms	244 ms	1.57x	Codename One
Memory at rest	85.3 MB	225.9 MB	2.66x	Codename One

Start-up and memory at rest are judged round by round: the ratio is the median of the per-round ratios, each from two launches made back to back, and the times and sizes shown are each side's median, so the ratio need not equal their quotient. Codename One was ahead in 9 of 9 rounds on cold start to first frame on screen; 9 of 9 rounds on memory at rest.

Compute -- the VM workloads (vm/benchmarks), run inside each app; time is the best of the app's own repetitions, higher ratio means Codename One is faster.

Workload	Codename One	Flutter	Ratio
intArithmetic	74 ms	184 ms	2.49x
longArithmetic	56 ms	56 ms	1.00x
mathTranscendental	253 ms	276 ms	1.09x
arraySequential	16 ms	35 ms	2.19x
arrayRandom	312 ms	267 ms	0.86x
objectAllocation	24 ms	37 ms	1.54x
valueEscape	5 ms	7 ms	1.40x
hashMapChurn	50 ms	329 ms	6.58x
stringBuilding	32 ms	109 ms	3.41x
recursion	87 ms	258 ms	2.97x
quicksortBench	138 ms	149 ms	1.08x
Geometric mean			1.83x

Gate: within tolerance against scripts/flutter-bench/baseline.

This platform's adapter has not been exercised end to end before; treat the first published run as the thing under review.

macos

9 interleaved rounds; host load 7.97, 29.52, 30.95

Metric	Codename One	Flutter	Ratio	Winner
Installed size	124.2 MB	139.4 MB	1.12x	Codename One
Executable code	33.1 MB	47.9 MB	1.45x	Codename One
Download size (zipped)	85.5 MB	93.3 MB	1.09x	Codename One
Cold start to first frame on screen	568 ms	684 ms	1.33x	Codename One
Memory at rest	36.4 MB	56.4 MB	1.54x	Codename One

Start-up and memory at rest are judged round by round: the ratio is the median of the per-round ratios, each from two launches made back to back, and the times and sizes shown are each side's median, so the ratio need not equal their quotient. Codename One was ahead in 7 of 9 rounds on cold start to first frame on screen; 9 of 9 rounds on memory at rest.

Compute -- the VM workloads (vm/benchmarks), run inside each app; time is the best of the app's own repetitions, higher ratio means Codename One is faster.

Workload	Codename One	Flutter	Ratio
intArithmetic	130 ms	282 ms	2.17x
longArithmetic	84 ms	75 ms	0.89x
mathTranscendental	339 ms	333 ms	0.98x
arraySequential	13 ms	41 ms	3.15x
arrayRandom	324 ms	367 ms	1.13x
objectAllocation	96 ms	29 ms	0.30x
valueEscape	6 ms	13 ms	2.17x
hashMapChurn	46 ms	209 ms	4.54x
stringBuilding	38 ms	117 ms	3.08x
recursion	147 ms	289 ms	1.97x
quicksortBench	142 ms	138 ms	0.97x
Geometric mean			1.54x

Gate: within tolerance against scripts/flutter-bench/baseline. Smaller than its baseline, which does not fail the gate: Executable code -6.26% -- rebaseline to tighten. To accept the move, download this platform's baseline-<platform>.json artifact and run python3 scripts/flutter-bench/flutter_baseline.py calibrate --pr 6113 --reason "<why these moved>" baseline-macos.json, then commit the overlay it writes.

This platform's adapter has not been exercised end to end before; treat the first published run as the thing under review.

windows

9 interleaved rounds

Metric	Codename One	Flutter	Ratio	Winner
Installed size	107.8 MB	121.1 MB	1.12x	Codename One
Executable code	11.4 MB	14.1 MB	1.25x	Codename One
Download size (zipped)	77.9 MB	86.4 MB	1.11x	Codename One
Cold start to first frame on screen	158 ms	271 ms	1.58x	Codename One
Memory at rest	58.5 MB	92.9 MB	1.59x	Codename One

Start-up and memory at rest are judged round by round: the ratio is the median of the per-round ratios, each from two launches made back to back, and the times and sizes shown are each side's median, so the ratio need not equal their quotient. Codename One was ahead in 9 of 9 rounds on cold start to first frame on screen; 9 of 9 rounds on memory at rest.

Compute -- the VM workloads (vm/benchmarks), run inside each app; time is the best of the app's own repetitions, higher ratio means Codename One is faster.

Workload	Codename One	Flutter	Ratio
intArithmetic	80 ms	183 ms	2.29x
longArithmetic	64 ms	57 ms	0.89x
mathTranscendental	198 ms	266 ms	1.34x
arraySequential	13 ms	35 ms	2.69x
arrayRandom	280 ms	286 ms	1.02x
objectAllocation	24 ms	40 ms	1.67x
valueEscape	1 ms	7 ms	7.00x
hashMapChurn	48 ms	325 ms	6.77x
stringBuilding	36 ms	121 ms	3.36x
recursion	194 ms	265 ms	1.37x
quicksortBench	138 ms	146 ms	1.06x
Geometric mean			2.06x

Gate: within tolerance against scripts/flutter-bench/baseline. Smaller than its baseline, which does not fail the gate: Executable code -10.64%; Download size (zipped) -0.77% -- rebaseline to tighten. To accept the move, download this platform's baseline-<platform>.json artifact and run python3 scripts/flutter-bench/flutter_baseline.py calibrate --pr 6113 --reason "<why these moved>" baseline-windows.json, then commit the overlay it writes.

This platform's adapter has not been exercised end to end before; treat the first published run as the thing under review.

Codename One wins 26 of 26 measured metrics across 6 platform(s).

shai-almog · 2026-10-26T23:19:17Z

Compared 249 screenshots: 249 matched.
✅ Native Apple Watch (watchOS, Core Graphics) screenshot tests passed.

shai-almog · 2026-10-27T00:07:28Z

Compared 189 screenshots: 189 matched.
✅ Native iOS Metal screenshot tests passed.

Benchmark Results

VM Translation Time: 0 seconds
Compilation Time: 2497 seconds

Build and Run Timing

Metric	Duration
Simulator Boot	88000 ms
Simulator Boot (Run)	1000 ms
App Install	19000 ms
App Launch	2000 ms
Test Execution	510000 ms

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	SSE2 (x64) / NEON (arm64) native kernels
SIMD int-add (64K x300)	java 261ms / native 6ms = 43.5x speedup
SIMD float-mul (64K x300)	java 187ms / native 7ms = 26.7x speedup
SIMD kernel correctness	PASS (native result == scalar reference)
Base64 payload size	8192 bytes
Base64 benchmark iterations	6000
Base64 SIMD byte path	active (NEON-accelerated)
Base64 CN1 encode	92.000 ms
Base64 CN1 decode	101.000 ms
Base64 native encode	2095.000 ms
Base64 encode ratio (CN1/native)	0.044x (95.6% faster)
Base64 native decode	1561.000 ms
Base64 decode ratio (CN1/native)	0.065x (93.5% faster)
Base64 SIMD encode	138.000 ms
Base64 encode ratio (SIMD/CN1)	1.500x (50.0% slower)
Base64 SIMD decode	80.000 ms
Base64 decode ratio (SIMD/CN1)	0.792x (20.8% faster)
Base64 encode ratio (SIMD/native)	0.066x (93.4% faster)
Base64 decode ratio (SIMD/native)	0.051x (94.9% faster)
Image encode benchmark iterations	100
Image createMask (SIMD off)	8.000 ms
Image createMask (SIMD on)	6.000 ms
Image createMask ratio (SIMD on/off)	0.750x (25.0% faster)
Image applyMask (SIMD off)	505.000 ms
Image applyMask (SIMD on)	630.000 ms
Image applyMask ratio (SIMD on/off)	1.248x (24.8% slower)
Image modifyAlpha (SIMD off)	463.000 ms
Image modifyAlpha (SIMD on)	60.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.130x (87.0% faster)
Image modifyAlpha removeColor (SIMD off)	109.000 ms
Image modifyAlpha removeColor (SIMD on)	49.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.450x (55.0% faster)

shai-almog · 2026-10-27T00:33:51Z

Compared 188 screenshots: 188 matched.
✅ Native Mac screenshot tests passed.

Benchmark Results

VM Translation Time: 0 seconds
Compilation Time: 466 seconds

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	SSE2 (x64) / NEON (arm64) native kernels
SIMD int-add (64K x300)	java 55ms / native 3ms = 18.3x speedup
SIMD float-mul (64K x300)	java 57ms / native 3ms = 19.0x speedup
SIMD kernel correctness	PASS (native result == scalar reference)
Base64 payload size	8192 bytes
Base64 benchmark iterations	6000
Base64 SIMD byte path	active (NEON-accelerated)
Base64 CN1 encode	53.000 ms
Base64 CN1 decode	54.000 ms
Base64 native encode	535.000 ms
Base64 encode ratio (CN1/native)	0.099x (90.1% faster)
Base64 native decode	248.000 ms
Base64 decode ratio (CN1/native)	0.218x (78.2% faster)
Base64 SIMD encode	51.000 ms
Base64 encode ratio (SIMD/CN1)	0.962x (3.8% faster)
Base64 SIMD decode	46.000 ms
Base64 decode ratio (SIMD/CN1)	0.852x (14.8% faster)
Base64 encode ratio (SIMD/native)	0.095x (90.5% faster)
Base64 decode ratio (SIMD/native)	0.185x (81.5% faster)
Image encode benchmark iterations	100
Image createMask (SIMD off)	4.000 ms
Image createMask (SIMD on)	2.000 ms
Image createMask ratio (SIMD on/off)	0.500x (50.0% faster)
Image applyMask (SIMD off)	30.000 ms
Image applyMask (SIMD on)	23.000 ms
Image applyMask ratio (SIMD on/off)	0.767x (23.3% faster)
Image modifyAlpha (SIMD off)	25.000 ms
Image modifyAlpha (SIMD on)	20.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.800x (20.0% faster)
Image modifyAlpha removeColor (SIMD off)	27.000 ms
Image modifyAlpha removeColor (SIMD on)	21.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.778x (22.2% faster)

shai-almog and others added 3 commits October 26, 2026 16:59

Preflight: count only class references to surfaces, judge a path-valu…

b7de2fb

…ed widget profile's App ID Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

Preflight: fall back to the unqualified widget profile key when the q…

ba25517

…ualified one is not a file Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

shai-almog merged commit 3985748 into master Oct 27, 2026
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shai-almog deleted the ios-widgets-profile-preflight-6008 branch October 27, 2026 02:53

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iOS preflight: fail fast when CN1Widgets has no provisioning profile (#6008) - #6113

iOS preflight: fail fast when CN1Widgets has no provisioning profile (#6008)#6113
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