iOS: re-read the view size when a covering modal is dismissed (#6080) by shai-almog · Pull Request #6115 · codenameone/CodenameOne

shai-almog · 2026-10-26T18:52:57Z

Fixes the remaining case of #6080: app in landscape, portrait-only camera opened, phone kept landscape, photo accepted -> the app returns with portrait display/Form dimensions over a landscape view.

Presenting the portrait-only modal sends the covered controller a portrait viewWillTransitionToSize:, which publishes the portrait size, but the covered view is never laid out portrait. On dismissal its bounds are unchanged, so no layout pass runs and #6085's viewDidLayoutSubviews sync never fires.

viewDidLayoutSubviews' sync is now cn1PublishViewSizeIfChanged, also called from viewDidAppear and from the transition completion (skipped while still covered).
NativeModalRotationTest gains a landscape-stays-landscape case that requires the precondition (portrait display over a landscape view under the modal) and then asserts the display matches the view after dismissal.

🤖 Generated with Claude Code

Presenting the portrait-only camera over a landscape app sends the covered controller a portrait viewWillTransitionToSize:, but its bounds never change, so staying in landscape leaves no layout pass to correct the published size. viewDidAppear and the transition completion now re-sync from the bounds. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

…ays-landscape case (#6080) Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

shai-almog · 2026-10-26T19:28:49Z

Compared 191 screenshots: 191 matched.

Native Android coverage

📊 Line coverage: 18.89% (48254/255385 lines covered) [HTML preview] (artifact android-coverage-report, jacocoAndroidReport/html/index.html)
- Other counters: instruction 17.64% (229221/1299370), branch 12.04% (16822/139693), complexity 9.67% (12915/133497), method 14.56% (9124/62650), class 25.13% (1775/7062)
- 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: 18.89% (48254/255385 lines covered) [HTML preview] (artifact android-coverage-report, jacocoAndroidReport/html/index.html)
- Other counters: instruction 17.64% (229221/1299370), branch 12.04% (16822/139693), complexity 9.67% (12915/133497), method 14.56% (9124/62650), class 25.13% (1775/7062)
- 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 540ms / native 486ms = 1.1x speedup
SIMD float-mul (64K x300)	java 204ms / native 189ms = 1.0x 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	78.000 ms
Base64 CN1 decode	84.000 ms
Base64 native encode	455.000 ms
Base64 encode ratio (CN1/native)	0.171x (82.9% faster)
Base64 native decode	274.000 ms
Base64 decode ratio (CN1/native)	0.307x (69.3% faster)
Image encode benchmark status	skipped (SIMD unsupported)

shai-almog · 2026-10-26T19:30:24Z

Compared 206 screenshots: 206 matched.
Native Windows port, REAL shipping pipeline: the hellocodenameone screenshot suite rendered by a binary CROSS-COMPILED on Linux (clang-cl + xwin, WebView2 linked) and RUN on a Windows x64 runner. Compared against the in-repo baseline in scripts/windows/screenshots.

Benchmark Results

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	SSE2 (x64) / NEON (arm64) native kernels
SIMD int-add (64K x300)	java 57ms / native 5ms = 11.4x speedup
SIMD float-mul (64K x300)	java 57ms / native 4ms = 14.2x speedup
SIMD kernel correctness	PASS (native result == scalar reference)
Base64 native bridge	unavailable (CN1 + SIMD + image benchmarks only)
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	75.000 ms
Base64 CN1 decode	90.000 ms
Base64 SIMD encode	109.000 ms
Base64 encode ratio (SIMD/CN1)	1.453x (45.3% slower)
Base64 SIMD decode	106.000 ms
Base64 decode ratio (SIMD/CN1)	1.178x (17.8% slower)
Image encode benchmark iterations	100
Image createMask (SIMD off)	9.000 ms
Image createMask (SIMD on)	3.000 ms
Image createMask ratio (SIMD on/off)	0.333x (66.7% faster)
Image applyMask (SIMD off)	28.000 ms
Image applyMask (SIMD on)	30.000 ms
Image applyMask ratio (SIMD on/off)	1.071x (7.1% slower)
Image modifyAlpha (SIMD off)	31.000 ms
Image modifyAlpha (SIMD on)	18.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.581x (41.9% faster)
Image modifyAlpha removeColor (SIMD off)	29.000 ms
Image modifyAlpha removeColor (SIMD on)	15.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.517x (48.3% faster)

github-actions · 2026-10-26T19:38:41Z

✅ Continuous Quality Report

Test & Coverage

✅ Tests: 14622 total, 0 failed, 161 skipped
📊 Line coverage: 64.98% [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: 1 findings (P3: 1) [HTML preview] [Download]
- Top findings
  - P3: vm/backend/test/src/com/codename1/backend/test/OtlpTestCollector.java:54 – Do not hard code the IP address (rule: AvoidUsingHardCodedIP)
✅ Checkstyle: 0 findings (no issues) [Report archive]

Generated automatically by the PR CI workflow.

shai-almog · 2026-10-26T19:39:37Z

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

shai-almog · 2026-10-26T20:03:25Z

Compared 206 screenshots: 206 matched.
Native Windows port (x64 / Intel-AMD): full hellocodenameone screenshot suite rendered offscreen with Direct2D/DirectWrite, plus the real benchmarks (base64 native/CN1/SIMD, image createMask/applyMask/modifyAlpha/PNG/JPEG, SSE2 SIMD kernels). Compared against the in-repo baseline in scripts/windows/screenshots.

Benchmark Results

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	SSE2 (x64) / NEON (arm64) native kernels
SIMD int-add (64K x300)	java 45ms / native 3ms = 15.0x speedup
SIMD float-mul (64K x300)	java 44ms / native 4ms = 11.0x speedup
SIMD kernel correctness	PASS (native result == scalar reference)
Base64 native bridge	unavailable (CN1 + SIMD + image benchmarks only)
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	59.000 ms
Base64 CN1 decode	74.000 ms
Base64 SIMD encode	80.000 ms
Base64 encode ratio (SIMD/CN1)	1.356x (35.6% slower)
Base64 SIMD decode	76.000 ms
Base64 decode ratio (SIMD/CN1)	1.027x (2.7% slower)
Image encode benchmark iterations	100
Image createMask (SIMD off)	9.000 ms
Image createMask (SIMD on)	5.000 ms
Image createMask ratio (SIMD on/off)	0.556x (44.4% faster)
Image applyMask (SIMD off)	32.000 ms
Image applyMask (SIMD on)	29.000 ms
Image applyMask ratio (SIMD on/off)	0.906x (9.4% faster)
Image modifyAlpha (SIMD off)	35.000 ms
Image modifyAlpha (SIMD on)	21.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.600x (40.0% faster)
Image modifyAlpha removeColor (SIMD off)	35.000 ms
Image modifyAlpha removeColor (SIMD on)	22.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.629x (37.1% faster)

ParparVM vs HotSpot (JDK 25): Windows x64

Runner CPU: Intel64 Family 6 Model 207 Stepping 2, GenuineIntel (baseline windows-x64@intel64-family-6-model-207-genuineintel)

2 improvements past the baseline (not a failure; rebaseline to lock them in):

hello (WinHelloMain) on all 4 CPUs: RAM 0.55x against a 0.86x baseline (-35.9%, tolerance 35%)
recursion on all 4 CPUs: time 0.94x against a 1.20x baseline (-21.9%, tolerance 20%)

Ratios are ParparVM / JDK 25: below 1.00x ParparVM is faster (time) or smaller (RAM). Median of 5 interleaved, paired rounds; every run's output was verified. A ratio more than 20% (time) / 25% (RAM) above its baseline in vm/selfhost/perf-baseline/ is a regression and fails; one that far below is an improvement, reported but not failed (a row whose calibration runs were noisier carries a wider tolerance), and for RAM the change must also exceed 0.05x in absolute terms. Both run unpinned on all of the runner's CPUs, with their own default thread counts.

Benchmark	Cores	Time	RAM	Status
hello (WinHelloMain)	4	1.24x (base 1.07x, +16.2%)	0.55x (base 0.86x, -35.9%)	improved: rebaseline to lock in (RAM -35.9%)
translator (self)	4	0.79x (base 0.79x, +0.3%)	0.52x (base 0.53x, -1.6%)	ok
intArithmetic	4	1.02x (base 1.02x, -0.1%)	0.06x (base 0.06x, -3.2%)	ok
longArithmetic	4	0.97x (base 0.97x, -0.3%)	0.06x (base 0.05x, +2.7%)	ok
mathTranscendental	4	0.89x (base 0.89x, +0.6%)	0.06x (base 0.06x, +1.9%)	ok
arraySequential	4	1.53x (base 1.98x, -22.9%)	0.38x (base 0.38x, +0.2%)	ok
arrayRandom	4	1.01x (base 1.01x, +0.0%)	0.23x (base 0.23x, +0.6%)	ok
objectAllocation	4	0.95x (base 1.22x, -21.5%)	0.38x (base 0.37x, +3.3%)	ok
valueEscape	4	0.13x (base 0.13x, +2.1%)	0.05x (base 0.04x, +3.7%)	ok
hashMapChurn	4	1.15x (base 1.14x, +0.5%)	0.10x (base 0.10x, +1.6%)	ok
stringBuilding	4	1.47x (base 1.42x, +3.9%)	0.27x (base 0.22x, +20.3%)	ok
recursion	4	0.94x (base 1.20x, -21.9%)	0.06x (base 0.06x, +2.8%)	improved: rebaseline to lock in (time -21.9%)
quicksort	4	1.03x (base 1.07x, -3.5%)	0.12x (base 0.12x, +1.3%)	ok

A change that moves performance ON PURPOSE records the new baseline in vm/selfhost/perf-baseline/pr/6115.json, with the reason, from this job's perf-results.json. The rebaseline is then part of this pull request's diff:

python3 vm/selfhost/calibrate-perf-baseline.py --pr 6115 --reason "<why these benchmarks moved>" perf-results.json

Result: no regression (improved past the baseline: consider rebaselining)

shai-almog · 2026-10-26T20:13:00Z

Compared 206 screenshots: 206 matched.
Native Linux port (arm64), GTK3/Cairo/Pango, ParparVM bytecode-to-C (no JVM): the hellocodenameone screenshot suite rendered by a native ELF built + run on the GitHub arm64 runner. Baseline: scripts/linux/screenshots-arm.

ParparVM vs HotSpot (JDK 25): Linux arm64

Runner CPU: Neoverse-N2 (baseline linux-arm64@neoverse-n2)

Ratios are ParparVM / JDK 25: below 1.00x ParparVM is faster (time) or smaller (RAM). Median of 5 interleaved, paired rounds; every run's output was verified. A ratio more than 20% (time) / 25% (RAM) above its baseline in vm/selfhost/perf-baseline/ is a regression and fails; one that far below is an improvement, reported but not failed (a row whose calibration runs were noisier carries a wider tolerance), and for RAM the change must also exceed 0.05x in absolute terms. Both run unpinned on all of the runner's CPUs, with their own default thread counts.

Benchmark	Cores	Time	RAM	Status
hello (LinuxHelloMain)	4	0.97x (base 1.02x, -5.0%)	0.66x (base 0.93x, -29.4%)	ok
translator (self)	4	0.76x (base 0.70x, +9.6%)	0.46x (base 0.43x, +5.9%)	ok
intArithmetic	4	1.05x (base 1.04x, +0.0%)	0.03x (base 0.03x, +4.6%)	ok
longArithmetic	4	0.79x (base 0.79x, -0.0%)	0.03x (base 0.03x, +5.0%)	ok
mathTranscendental	4	1.09x (base 1.10x, -0.3%)	0.04x (base 0.03x, +9.1%)	ok
arraySequential	4	0.39x (base 0.36x, +7.0%)	0.37x (base 0.37x, +0.3%)	ok
arrayRandom	4	0.94x (base 0.94x, +0.2%)	0.20x (base 0.20x, +0.6%)	ok
objectAllocation	4	1.95x (base 1.77x, +10.4%)	0.37x (base 0.37x, -0.6%)	ok
valueEscape	4	0.51x (base 0.51x, -0.1%)	0.03x (base 0.03x, +4.8%)	ok
hashMapChurn	4	0.83x (base 0.84x, -1.9%)	0.12x (base 0.12x, -2.8%)	ok
stringBuilding	4	1.45x (base 1.57x, -7.7%)	0.27x (base 0.26x, +2.7%)	ok
recursion	4	1.41x (base 1.43x, -1.6%)	0.04x (base 0.04x, +2.5%)	ok
quicksort	4	1.00x (base 0.99x, +1.1%)	0.09x (base 0.09x, +1.2%)	ok

Result: no regression

shai-almog · 2026-10-26T20:49:06Z

Compared 206 screenshots: 206 matched.
Native Windows port (arm64 / Apple Silicon - Arm): full hellocodenameone screenshot suite rendered offscreen with Direct2D/DirectWrite, plus the real benchmarks (base64 native/CN1/SIMD, image createMask/applyMask/modifyAlpha/PNG/JPEG, NEON SIMD kernels). Compared against the in-repo baseline in scripts/windows/screenshots.

Benchmark Results

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	SSE2 (x64) / NEON (arm64) native kernels
SIMD int-add (64K x300)	java 49ms / native 2ms = 24.5x speedup
SIMD float-mul (64K x300)	java 48ms / native 3ms = 16.0x speedup
SIMD kernel correctness	PASS (native result == scalar reference)
Base64 native bridge	unavailable (CN1 + SIMD + image benchmarks only)
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	62.000 ms
Base64 CN1 decode	70.000 ms
Base64 SIMD encode	78.000 ms
Base64 encode ratio (SIMD/CN1)	1.258x (25.8% slower)
Base64 SIMD decode	68.000 ms
Base64 decode ratio (SIMD/CN1)	0.971x (2.9% faster)
Image encode benchmark iterations	100
Image createMask (SIMD off)	5.000 ms
Image createMask (SIMD on)	1.000 ms
Image createMask ratio (SIMD on/off)	0.200x (80.0% faster)
Image applyMask (SIMD off)	19.000 ms
Image applyMask (SIMD on)	21.000 ms
Image applyMask ratio (SIMD on/off)	1.105x (10.5% slower)
Image modifyAlpha (SIMD off)	17.000 ms
Image modifyAlpha (SIMD on)	14.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.824x (17.6% faster)
Image modifyAlpha removeColor (SIMD off)	20.000 ms
Image modifyAlpha removeColor (SIMD on)	10.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.500x (50.0% faster)

ParparVM vs HotSpot (JDK 25): Windows arm64

Runner CPU: ARMv8 (64-bit) Family 8 Model D49 Revision 0, MICROSOFT CORPORATION (baseline windows-arm64@armv8-64-bit-family-8-model-d49-microsoft-corporation)

Ratios are ParparVM / JDK 25: below 1.00x ParparVM is faster (time) or smaller (RAM). Median of 5 interleaved, paired rounds; every run's output was verified. A ratio more than 20% (time) / 25% (RAM) above its baseline in vm/selfhost/perf-baseline/ is a regression and fails; one that far below is an improvement, reported but not failed (a row whose calibration runs were noisier carries a wider tolerance), and for RAM the change must also exceed 0.05x in absolute terms. Both run unpinned on all of the runner's CPUs, with their own default thread counts.

Benchmark	Cores	Time	RAM	Status
hello (WinHelloMain)	4	1.00x (base 1.11x, -9.9%)	0.61x (base 0.75x, -19.0%)	ok
translator (self)	4	0.90x (base 0.84x, +7.0%)	0.50x (base 0.51x, -2.1%)	ok
intArithmetic	4	1.04x (base 1.04x, +0.0%)	0.06x (base 0.06x, +3.1%)	ok
longArithmetic	4	0.79x (base 0.80x, -0.0%)	0.06x (base 0.06x, +3.5%)	ok
mathTranscendental	4	0.72x (base 0.72x, +0.0%)	0.07x (base 0.06x, +1.6%)	ok
arraySequential	4	0.36x (base 0.46x, -21.2%)	0.39x (base 0.39x, -0.1%)	ok
arrayRandom	4	0.93x (base 0.94x, -0.5%)	0.23x (base 0.23x, +0.6%)	ok
objectAllocation	4	1.77x (base 1.82x, -2.6%)	0.32x (base 0.43x, -24.8%)	ok
valueEscape	4	0.76x (base 0.76x, +0.1%)	0.05x (base 0.05x, +3.7%)	ok
hashMapChurn	4	1.01x (base 0.98x, +2.2%)	0.12x (base 0.12x, +4.3%)	ok
stringBuilding	4	1.60x (base 1.43x, +12.1%)	0.27x (base 0.27x, -0.4%)	ok
recursion	4	1.55x (base 1.46x, +6.0%)	0.07x (base 0.07x, +1.4%)	ok
quicksort	4	1.01x (base 1.00x, +0.4%)	0.12x (base 0.12x, +0.5%)	ok

Result: no regression

shai-almog · 2026-10-26T21:30:48Z

Compared 206 screenshots: 206 matched.
Native Linux port (x64), GTK3/Cairo/Pango, ParparVM bytecode-to-C (no JVM): the hellocodenameone screenshot suite rendered by a native ELF built + run on the GitHub x64 runner. Baseline: scripts/linux/screenshots.

ParparVM vs HotSpot (JDK 25): Linux x64

Runner CPU: AMD EPYC 9V74 80-Core Processor (baseline linux-x64@amd-epyc-9v74-80-core-processor)

1 improvement past the baseline (not a failure; rebaseline to lock it in):

hello (LinuxHelloMain) on all 4 CPUs: RAM 0.68x against a 0.96x baseline (-29.3%, tolerance 25%)

Ratios are ParparVM / JDK 25: below 1.00x ParparVM is faster (time) or smaller (RAM). Median of 5 interleaved, paired rounds; every run's output was verified. A ratio more than 20% (time) / 25% (RAM) above its baseline in vm/selfhost/perf-baseline/ is a regression and fails; one that far below is an improvement, reported but not failed (a row whose calibration runs were noisier carries a wider tolerance), and for RAM the change must also exceed 0.05x in absolute terms. Both run unpinned on all of the runner's CPUs, with their own default thread counts.

Benchmark	Cores	Time	RAM	Status
hello (LinuxHelloMain)	4	0.91x (base 0.90x, +1.8%)	0.68x (base 0.96x, -29.3%)	improved: rebaseline to lock in (RAM -29.3%)
translator (self)	4	0.69x (base 0.63x, +9.8%)	0.44x (base 0.46x, -5.3%)	ok
intArithmetic	4	1.10x (base 1.10x, -0.0%)	0.08x (base 0.06x, +37.7%)	ok
longArithmetic	4	1.08x (base 1.08x, +0.0%)	0.07x (base 0.06x, +34.4%)	ok
mathTranscendental	4	1.09x (base 1.09x, -0.3%)	0.08x (base 0.07x, +16.6%)	ok
arraySequential	4	2.61x (base 2.81x, -7.1%)	0.38x (base 0.35x, +6.6%)	ok
arrayRandom	4	1.02x (base 1.02x, -0.3%)	0.23x (base 0.21x, +7.7%)	ok
objectAllocation	4	1.22x (base 1.21x, +0.9%)	0.28x (base 0.39x, -28.2%)	ok
valueEscape	4	0.10x (base 0.10x, +0.5%)	0.05x (base 0.06x, -21.6%)	ok
hashMapChurn	4	1.40x (base 1.10x, +27.5%)	0.10x (base 0.10x, -0.8%)	ok
stringBuilding	4	1.43x (base 1.49x, -3.8%)	0.26x (base 0.26x, +0.3%)	ok
recursion	4	1.14x (base 1.24x, -8.2%)	0.06x (base 0.06x, +2.2%)	ok
quicksort	4	1.10x (base 1.07x, +3.0%)	0.13x (base 0.11x, +19.1%)	ok

A change that moves performance ON PURPOSE records the new baseline in vm/selfhost/perf-baseline/pr/6115.json, with the reason, from this job's perf-results.json. The rebaseline is then part of this pull request's diff:

python3 vm/selfhost/calibrate-perf-baseline.py --pr 6115 --reason "<why these benchmarks moved>" perf-results.json

Result: no regression (improved past the baseline: consider rebaselining)

shai-almog · 2026-10-26T23:14:17Z

Compared 192 screenshots: 192 matched.
✅ Native Mac screenshot tests passed.

Benchmark Results

VM Translation Time: 0 seconds
Compilation Time: 526 seconds

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	SSE2 (x64) / NEON (arm64) native kernels
SIMD int-add (64K x300)	java 57ms / native 3ms = 19.0x speedup
SIMD float-mul (64K x300)	java 54ms / native 2ms = 27.0x speedup
SIMD kernel correctness	PASS (native result == scalar reference)
Base64 native bridge	unavailable (CN1 + SIMD + image benchmarks only)
Base64 payload size	8192 bytes
Base64 benchmark iterations	6000
Base64 SIMD byte path	active (NEON-accelerated)
Base64 CN1 encode	74.000 ms
Base64 CN1 decode	73.000 ms
Image encode benchmark iterations	100
Image createMask (SIMD off)	9.000 ms
Image createMask (SIMD on)	5.000 ms
Image createMask ratio (SIMD on/off)	0.556x (44.4% faster)
Image applyMask (SIMD off)	73.000 ms
Image applyMask (SIMD on)	86.000 ms
Image applyMask ratio (SIMD on/off)	1.178x (17.8% slower)
Image modifyAlpha (SIMD off)	84.000 ms
Image modifyAlpha (SIMD on)	53.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.631x (36.9% faster)
Image modifyAlpha removeColor (SIMD off)	66.000 ms
Image modifyAlpha removeColor (SIMD on)	52.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.788x (21.2% faster)

ParparVM vs HotSpot (JDK 25): macOS arm64

Runner CPU: Apple M1 (Virtual) (baseline macos-arm64)

Ratios are ParparVM / JDK 25: below 1.00x ParparVM is faster (time) or smaller (RAM). Median of 5 interleaved, paired rounds; every run's output was verified. A ratio more than 20% (time) / 25% (RAM) above its baseline in vm/selfhost/perf-baseline/ is a regression and fails; one that far below is an improvement, reported but not failed (a row whose calibration runs were noisier carries a wider tolerance), and for RAM the change must also exceed 0.05x in absolute terms. Both run unpinned on all of the runner's CPUs, with their own default thread counts.

Benchmark	Cores	Time	RAM	Status
hello (HelloCodenameOne)	3	0.79x (base 0.96x, -17.5%)	0.87x (base 0.93x, -6.5%)	ok
translator (self)	3	0.60x (base 0.62x, -4.3%)	0.57x (base 0.78x, -26.5%)	ok
intArithmetic	3	1.04x (base 1.03x, +1.0%)	0.12x (base 0.12x, +1.6%)	ok
longArithmetic	3	0.97x (base 1.03x, -5.6%)	0.12x (base 0.07x, +66.2%)	ok
mathTranscendental	3	0.99x (base 1.01x, -1.5%)	0.12x (base 0.12x, +0.3%)	ok
arraySequential	3	0.44x (base 0.42x, +5.3%)	0.53x (base 0.53x, +0.6%)	ok
arrayRandom	3	0.98x (base 0.99x, -1.3%)	0.33x (base 0.32x, +0.4%)	ok
objectAllocation	3	1.01x (base 1.11x, -8.4%)	0.63x (base 0.72x, -12.9%)	ok
valueEscape	3	0.50x (base 0.51x, -1.5%)	0.09x (base 0.09x, +1.9%)	ok
hashMapChurn	3	1.00x (base 1.18x, -14.8%)	0.07x (base 0.07x, +10.8%)	ok
stringBuilding	3	0.82x (base 0.84x, -3.1%)	0.47x (base 0.46x, +0.6%)	ok
recursion	3	1.24x (base 1.24x, +0.7%)	0.11x (base 0.12x, -2.7%)	ok
quicksort	3	0.94x (base 1.01x, -6.9%)	0.11x (base 0.11x, +0.8%)	ok

Result: no regression

shai-almog · 2026-10-27T04:32:44Z

Compared 184 screenshots: 184 matched.
✅ Native Apple TV (tvOS, Metal) screenshot tests passed.

shai-almog · 2026-10-27T04:51:02Z

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

Benchmark Results

VM Translation Time: 0 seconds
Compilation Time: 624 seconds

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	SSE2 (x64) / NEON (arm64) native kernels
SIMD int-add (64K x300)	java 53ms / native 3ms = 17.6x speedup
SIMD float-mul (64K x300)	java 54ms / native 3ms = 18.0x 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	51.000 ms
Base64 CN1 decode	70.000 ms
Base64 native encode	654.000 ms
Base64 encode ratio (CN1/native)	0.078x (92.2% faster)
Base64 native decode	297.000 ms
Base64 decode ratio (CN1/native)	0.236x (76.4% faster)
Base64 SIMD encode	53.000 ms
Base64 encode ratio (SIMD/CN1)	1.039x (3.9% slower)
Base64 SIMD decode	55.000 ms
Base64 decode ratio (SIMD/CN1)	0.786x (21.4% faster)
Base64 encode ratio (SIMD/native)	0.081x (91.9% faster)
Base64 decode ratio (SIMD/native)	0.185x (81.5% faster)
Image encode benchmark iterations	100
Image createMask (SIMD off)	17.000 ms
Image createMask (SIMD on)	7.000 ms
Image createMask ratio (SIMD on/off)	0.412x (58.8% faster)
Image applyMask (SIMD off)	109.000 ms
Image applyMask (SIMD on)	114.000 ms
Image applyMask ratio (SIMD on/off)	1.046x (4.6% slower)
Image modifyAlpha (SIMD off)	138.000 ms
Image modifyAlpha (SIMD on)	107.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.775x (22.5% faster)
Image modifyAlpha removeColor (SIMD off)	120.000 ms
Image modifyAlpha removeColor (SIMD on)	68.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.567x (43.3% faster)

shai-almog · 2026-10-27T04:58:33Z

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

Benchmark Results

VM Translation Time: 0 seconds
Compilation Time: 3335 seconds

Build and Run Timing

Metric	Duration
Simulator Boot	58000 ms
Simulator Boot (Run)	2000 ms
App Install	26000 ms
App Launch	11000 ms
Test Execution	553000 ms

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	SSE2 (x64) / NEON (arm64) native kernels
SIMD int-add (64K x300)	java 477ms / native 6ms = 79.5x speedup
SIMD float-mul (64K x300)	java 137ms / native 8ms = 17.1x 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	114.000 ms
Base64 CN1 decode	88.000 ms
Base64 native encode	2743.000 ms
Base64 encode ratio (CN1/native)	0.042x (95.8% faster)
Base64 native decode	2713.000 ms
Base64 decode ratio (CN1/native)	0.032x (96.8% faster)
Base64 SIMD encode	193.000 ms
Base64 encode ratio (SIMD/CN1)	1.693x (69.3% slower)
Base64 SIMD decode	223.000 ms
Base64 decode ratio (SIMD/CN1)	2.534x (153.4% slower)
Base64 encode ratio (SIMD/native)	0.070x (93.0% faster)
Base64 decode ratio (SIMD/native)	0.082x (91.8% faster)
Image encode benchmark iterations	100
Image createMask (SIMD off)	9.000 ms
Image createMask (SIMD on)	14.000 ms
Image createMask ratio (SIMD on/off)	1.556x (55.6% slower)
Image applyMask (SIMD off)	1076.000 ms
Image applyMask (SIMD on)	554.000 ms
Image applyMask ratio (SIMD on/off)	0.515x (48.5% faster)
Image modifyAlpha (SIMD off)	584.000 ms
Image modifyAlpha (SIMD on)	98.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.168x (83.2% faster)
Image modifyAlpha removeColor (SIMD off)	776.000 ms
Image modifyAlpha removeColor (SIMD on)	102.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.131x (86.9% faster)

shai-almog · 2026-10-27T06:08:16Z

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

…6080) Under a landscape lock UIKit keeps the interface landscape with the portrait-only modal up, so the covered view is never told portrait. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

) The simulator cannot stage case 3 (the stand-in modal never makes the covered view disagree with the scene), so the landscape test case is dropped and the correction is logged instead, to name the stale publication on a device. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

shai-almog · 2026-10-28T06:43:23Z

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

Benchmark Results

VM Translation Time: 0 seconds
Compilation Time: 2166 seconds

Build and Run Timing

Metric	Duration
Simulator Boot	90000 ms
Simulator Boot (Run)	2000 ms
App Install	17000 ms
App Launch	10000 ms
Test Execution	522000 ms

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	SSE2 (x64) / NEON (arm64) native kernels
SIMD int-add (64K x300)	java 80ms / native 4ms = 20.0x speedup
SIMD float-mul (64K x300)	java 76ms / native 3ms = 25.3x 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	72.000 ms
Base64 CN1 decode	112.000 ms
Base64 native encode	2165.000 ms
Base64 encode ratio (CN1/native)	0.033x (96.7% faster)
Base64 native decode	1273.000 ms
Base64 decode ratio (CN1/native)	0.088x (91.2% faster)
Base64 SIMD encode	80.000 ms
Base64 encode ratio (SIMD/CN1)	1.111x (11.1% slower)
Base64 SIMD decode	78.000 ms
Base64 decode ratio (SIMD/CN1)	0.696x (30.4% faster)
Base64 encode ratio (SIMD/native)	0.037x (96.3% faster)
Base64 decode ratio (SIMD/native)	0.061x (93.9% faster)
Image encode benchmark iterations	100
Image createMask (SIMD off)	6.000 ms
Image createMask (SIMD on)	2.000 ms
Image createMask ratio (SIMD on/off)	0.333x (66.7% faster)
Image applyMask (SIMD off)	257.000 ms
Image applyMask (SIMD on)	69.000 ms
Image applyMask ratio (SIMD on/off)	0.268x (73.2% faster)
Image modifyAlpha (SIMD off)	57.000 ms
Image modifyAlpha (SIMD on)	119.000 ms
Image modifyAlpha ratio (SIMD on/off)	2.088x (108.8% slower)
Image modifyAlpha removeColor (SIMD off)	152.000 ms
Image modifyAlpha removeColor (SIMD on)	357.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	2.349x (134.9% slower)

shai-almog and others added 3 commits October 26, 2026 20:18

iOS: skip the transition re-sync while covered; test the landscape-st…

f87e6ef

…ays-landscape case (#6080) Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

test: require the landscape case's precondition (#6080)

c95701c

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

shai-almog and others added 2 commits October 27, 2026 08:08

test: present over an unlocked landscape app, as the reporter does (#…

2dfdff6

…6080) Under a landscape lock UIKit keeps the interface landscape with the portrait-only modal up, so the covered view is never told portrait. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

shai-almog merged commit 238ef3f into master Oct 28, 2026
51 checks passed

shai-almog deleted the ios-camera-landscape-6080 branch October 28, 2026 08:24

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