Fix JavaScript text selection and Android startup by shai-almog · Pull Request #5952 · codenameone/CodenameOne

shai-almog · 2026-10-06T06:22:02Z

Changes

Fix JavaScript applications hanging during Android theme initialization and make javascript.textSelection=true use browser-native text selection consistently.

Resolve null native-font handles to the default font when measuring text. Android theme initialization can measure the initial default font before its native handle is assigned, previously throwing instead of opening the first form.
Keep native inputs/textareas over eligible text areas and enable native selection on eligible label spans. Preserve selection and focus across repaints, synchronize edits with the CN1 model, support keyboard traversal, and hide overlays behind dialogs or when components leave the visible form.
Route native selection, clipboard, and context-menu events on the browser host so they do not also trigger canvas handlers. Relay wheel scrolling and prompt vertical swipes while retaining native long-press selection. Components with application interaction handlers keep their existing path.
Document selection eligibility and CSS highlight customization, and add a translated browser fixture plus event-routing and Unicode regression tests.

The equivalent signed-byte Latin-1 conversion fix for #5944 landed in #5938 while this work was being validated. This branch retains that implementation and adds coverage for all 256 Latin-1 code units, substrings, mixed scripts, emoji, and accented text across focus changes.

Fixes #5943
Fixes #5944
Fixes #5946

Validation

Local validation on the rebased branch:

Java 8 core verify: TextAreaTest, TextSelectionTest, and ComponentTest (68 tests).
JavascriptRuntimeSemanticsTest#preservesCompactLatin1AndWideStrings across five compiler configurations.
node scripts/test-javascript-text-interactions.mjs and node scripts/test-javascript-surface-replay.mjs.
Rebuilt the translated fixture with scripts/build-javascript-selection-fixture.sh and ran scripts/test-javascript-text-selection.mjs in Chrome, Firefox, and Android emulator Chrome.
Browser checks cover startup/font metrics, Unicode after focus changes, native selection, scrolling, button actions, and dialog restoration. Desktop checks also cover keyboard traversal and the hint-disabled rendering path.
git diff --check.

Android long-press and scrolling use CDP touch gestures on the emulator; button/dialog checks use Playwright mouse events. Physical-device and Android Edge coverage remain unverified.

shai-almog · 2026-10-06T06:28:54Z

@codex review

chatgpt-codex-connector · 2026-10-06T06:29:16Z

Codex Review Summary

This comment shows the latest Codex review activity on this pull request.

Review	Status	Commit	Review trigger
📝 Code Review	🔄 Running since 2026-10-07T02:43:39.213265Z	`aefa57c`	Manual request

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

Open a pull request for review
Mark a draft as ready
Comment "@codex review" or "@codex security review".

Codex reacts with 👀 while any review is running, comments if it has suggestions, and reacts with 👍 once all reviews finish with no findings.

chatgpt-codex-connector

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: 8fe6cc84e2

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

Open a pull request for review
Mark a draft as ready
Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

github-actions · 2026-10-06T06:45:41Z

Cloudflare Preview

URL: https://pr-5952-website-preview.codenameone.pages.dev
Branch: pr-5952-website-preview

shai-almog · 2026-10-06T06:46:48Z

Compared 172 screenshots: 172 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 68ms / native 5ms = 13.6x speedup
SIMD float-mul (64K x300)	java 76ms / native 8ms = 9.5x 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	89.000 ms
Base64 SIMD encode	104.000 ms
Base64 encode ratio (SIMD/CN1)	1.387x (38.7% slower)
Base64 SIMD decode	99.000 ms
Base64 decode ratio (SIMD/CN1)	1.112x (11.2% slower)
Image encode benchmark iterations	100
Image createMask (SIMD off)	8.000 ms
Image createMask (SIMD on)	3.000 ms
Image createMask ratio (SIMD on/off)	0.375x (62.5% faster)
Image applyMask (SIMD off)	25.000 ms
Image applyMask (SIMD on)	23.000 ms
Image applyMask ratio (SIMD on/off)	0.920x (8.0% faster)
Image modifyAlpha (SIMD off)	31.000 ms
Image modifyAlpha (SIMD on)	15.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.484x (51.6% faster)
Image modifyAlpha removeColor (SIMD off)	34.000 ms
Image modifyAlpha removeColor (SIMD on)	20.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.588x (41.2% faster)

github-actions · 2026-10-06T07:09:09Z

Developer Guide build artifacts are available for download from this workflow run:

Developer Guide quality checks:

AsciiDoc linter: No issues found (report)
Vale: No alerts found (report)
Paragraph capitalization: No paragraph capitalization issues (report)
LanguageTool: No grammar matches (report)
Image references: No unused images detected (report)

shai-almog · 2026-10-06T07:20:10Z

@codex review

chatgpt-codex-connector

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: 1bc707e91b

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

Open a pull request for review
Mark a draft as ready
Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

shai-almog · 2026-10-06T07:34:04Z

Compared 157 screenshots: 157 matched.

Native Android coverage

📊 Line coverage: 9.81% (9842/100276 lines covered) [HTML preview] (artifact android-coverage-report, jacocoAndroidReport/html/index.html)
- Other counters: instruction 9.56% (50597/529231), branch 3.90% (1958/50159), complexity 3.85% (2059/53441), method 6.00% (1686/28093), class 12.02% (455/3785)
- 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)
  - kotlin.collections.kotlin.collections.CollectionsKt___CollectionsKt – 0.00% (0/1187 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)
  - org.jacoco.agent.rt.internal_0e20598.asm.org.jacoco.agent.rt.internal_0e20598.asm.Frame – 0.00% (0/570 lines covered)

✅ Native Android screenshot tests passed.

Native Android coverage

📊 Line coverage: 9.81% (9842/100276 lines covered) [HTML preview] (artifact android-coverage-report, jacocoAndroidReport/html/index.html)
- Other counters: instruction 9.56% (50597/529231), branch 3.90% (1958/50159), complexity 3.85% (2059/53441), method 6.00% (1686/28093), class 12.02% (455/3785)
- 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)
  - kotlin.collections.kotlin.collections.CollectionsKt___CollectionsKt – 0.00% (0/1187 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)
  - org.jacoco.agent.rt.internal_0e20598.asm.org.jacoco.agent.rt.internal_0e20598.asm.Frame – 0.00% (0/570 lines covered)

Benchmark Results

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	scalar fallback (no native SIMD)
SIMD int-add (64K x300)	java 141ms / native 74ms = 1.9x speedup
SIMD float-mul (64K x300)	java 106ms / native 85ms = 1.2x 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	81.000 ms
Base64 CN1 decode	67.000 ms
Base64 native encode	320.000 ms
Base64 encode ratio (CN1/native)	0.253x (74.7% faster)
Base64 native decode	235.000 ms
Base64 decode ratio (CN1/native)	0.285x (71.5% faster)
Image encode benchmark status	skipped (SIMD unsupported)

shai-almog · 2026-10-06T07:38:32Z

Compared 193 screenshots: 193 matched.
✅ JavaScript-port screenshot tests passed.

shai-almog · 2026-10-06T07:42:26Z

Compared 172 screenshots: 172 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 58ms / native 4ms = 14.5x speedup
SIMD float-mul (64K x300)	java 63ms / native 4ms = 15.7x 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	73.000 ms
Base64 CN1 decode	89.000 ms
Base64 SIMD encode	101.000 ms
Base64 encode ratio (SIMD/CN1)	1.384x (38.4% slower)
Base64 SIMD decode	102.000 ms
Base64 decode ratio (SIMD/CN1)	1.146x (14.6% slower)
Image encode benchmark iterations	100
Image createMask (SIMD off)	7.000 ms
Image createMask (SIMD on)	3.000 ms
Image createMask ratio (SIMD on/off)	0.429x (57.1% faster)
Image applyMask (SIMD off)	26.000 ms
Image applyMask (SIMD on)	34.000 ms
Image applyMask ratio (SIMD on/off)	1.308x (30.8% slower)
Image modifyAlpha (SIMD off)	35.000 ms
Image modifyAlpha (SIMD on)	23.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.657x (34.3% faster)
Image modifyAlpha removeColor (SIMD off)	43.000 ms
Image modifyAlpha removeColor (SIMD on)	27.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.628x (37.2% faster)

ParparVM vs HotSpot (JDK 25): Windows x64

Runner CPU: Intel64 Family 6 Model 106 Stepping 6, GenuineIntel (baseline windows-x64@intel64-family-6-model-106-genuineintel)

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 15% (time) / 15% (RAM) away from its baseline in vm/selfhost/perf-baseline/ fails: above it is a regression, below it an improvement that has to be rebaselined (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 1.21x, +2.4%)	0.69x (base 0.76x, -8.8%)	ok
translator (self)	4	0.65x (base 0.63x, +3.4%)	0.50x (base 0.54x, -7.6%)	ok
intArithmetic	4	1.03x (base 1.03x, -0.0%)	0.06x (base 0.06x, +1.4%)	ok
longArithmetic	4	1.00x (base 1.00x, -0.1%)	0.05x (base 0.05x, +1.1%)	ok
mathTranscendental	4	0.81x (base 0.81x, -0.3%)	0.06x (base 0.06x, -0.0%)	ok
arraySequential	4	1.60x (base 1.43x, +12.4%)	0.38x (base 0.38x, +0.0%)	ok
arrayRandom	4	1.01x (base 1.00x, +1.3%)	0.23x (base 0.23x, +0.2%)	ok
objectAllocation	4	1.19x (base 1.21x, -1.5%)	0.34x (base 0.32x, +6.6%)	ok
valueEscape	4	0.13x (base 0.13x, -0.1%)	0.04x (base 0.04x, +1.6%)	ok
hashMapChurn	4	1.17x (base 1.21x, -3.4%)	0.09x (base 0.10x, -9.5%)	ok
stringBuilding	4	1.37x (base 1.44x, -4.8%)	0.27x (base 0.27x, -0.7%)	ok
recursion	4	1.18x (base 1.26x, -6.4%)	0.06x (base 0.06x, +0.5%)	ok
quicksort	4	1.10x (base 1.11x, -0.9%)	0.12x (base 0.12x, +0.3%)	ok

Result: no regression

github-actions · 2026-10-06T07:45:46Z

✅ Continuous Quality Report

Test & Coverage

❌ Tests: 7520 total, 2 failed, 0 skipped
⚠️ 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.

shai-almog · 2026-10-06T08:45:18Z

Compared 172 screenshots: 172 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: Intel(R) Xeon(R) 6973P-C (baseline linux-x64@intel-xeon-6973p-c)

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 15% (time) / 15% (RAM) away from its baseline in vm/selfhost/perf-baseline/ fails: above it is a regression, below it an improvement that has to be rebaselined (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	1.01x (base 0.98x, +2.8%)	0.81x (base 0.77x, +5.0%)	ok
translator (self)	4	0.60x (base 0.54x, +11.7%)	0.45x (base 0.52x, -14.1%)	ok
intArithmetic	4	1.02x (base 1.01x, +0.6%)	0.05x (base 0.05x, +1.5%)	ok
longArithmetic	4	1.06x (base 1.07x, -0.2%)	0.07x (base 0.06x, +31.6%)	ok
mathTranscendental	4	1.03x (base 1.03x, +0.4%)	0.08x (base 0.06x, +33.0%)	ok
arraySequential	4	2.03x (base 2.13x, -4.6%)	0.37x (base 0.36x, +5.1%)	ok
arrayRandom	4	1.04x (base 1.01x, +2.7%)	0.21x (base 0.21x, +0.1%)	ok
objectAllocation	4	1.82x (base 1.94x, -6.3%)	0.29x (base 0.38x, -23.8%)	ok
valueEscape	4	0.13x (base 0.13x, +0.4%)	0.05x (base 0.05x, -2.1%)	ok
hashMapChurn	4	0.98x (base 1.02x, -3.9%)	0.10x (base 0.10x, +3.6%)	ok
stringBuilding	4	1.38x (base 1.66x, -17.0%)	0.22x (base 0.22x, -0.0%)	ok
recursion	4	1.45x (base 1.30x, +11.3%)	0.06x (base 0.07x, -25.7%)	ok
quicksort	4	1.04x (base 1.10x, -5.0%)	0.13x (base 0.13x, +1.8%)	ok

Result: no regression

shai-almog · 2026-10-06T08:45:23Z

Compared 172 screenshots: 172 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 15% (time) / 15% (RAM) away from its baseline in vm/selfhost/perf-baseline/ fails: above it is a regression, below it an improvement that has to be rebaselined (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	0.98x (base 0.93x, +4.8%)	0.84x (base 0.87x, -3.3%)	ok
translator (self)	4	0.70x (base 0.70x, -0.3%)	0.44x (base 0.45x, -2.0%)	ok
intArithmetic	4	1.04x (base 1.04x, -0.1%)	0.03x (base 0.03x, +0.4%)	ok
longArithmetic	4	0.79x (base 0.79x, -0.1%)	0.03x (base 0.03x, +0.2%)	ok
mathTranscendental	4	1.10x (base 1.10x, +0.0%)	0.03x (base 0.03x, -2.5%)	ok
arraySequential	4	0.36x (base 0.36x, -1.0%)	0.37x (base 0.37x, -0.1%)	ok
arrayRandom	4	0.93x (base 0.94x, -0.4%)	0.20x (base 0.20x, -0.2%)	ok
objectAllocation	4	1.91x (base 1.77x, +8.2%)	0.36x (base 0.38x, -3.4%)	ok
valueEscape	4	0.51x (base 0.51x, -0.1%)	0.03x (base 0.03x, +0.1%)	ok
hashMapChurn	4	0.85x (base 0.84x, +0.4%)	0.11x (base 0.12x, -5.0%)	ok
stringBuilding	4	1.32x (base 1.36x, -3.3%)	0.32x (base 0.26x, +20.6%)	ok
recursion	4	1.56x (base 1.43x, +8.5%)	0.03x (base 0.04x, -1.3%)	ok
quicksort	4	0.99x (base 0.99x, -0.2%)	0.09x (base 0.09x, +0.7%)	ok

Result: no regression

github-actions · 2026-10-06T09:49:11Z

✅ ByteCodeTranslator Quality Report

Test & Coverage

✅ Tests: 806 total, 0 failed, 57 skipped

Benchmark Results

Execution Time: 17478 ms
Hotspots (Top 20 sampled methods):
- 10.99% com.codename1.tools.translator.BytecodeMethod.equals (180 samples)
- 6.11% com.codename1.tools.translator.IteratorEscape.mangle (100 samples)
- 4.46% java.lang.StringBuilder.append (73 samples)
- 2.56% java.util.ArrayList.indexOf (42 samples)
- 2.38% java.lang.String.equals (39 samples)
- 2.26% java.util.AbstractCollection.containsAll (37 samples)
- 2.20% com.codename1.tools.translator.NativeSymbolIndex.<init> (36 samples)
- 2.14% java.lang.System.identityHashCode (35 samples)
- 2.14% java.util.HashMap.putVal (35 samples)
- 2.08% com.codename1.tools.translator.IteratorEscape.ctorOnlyStoresParamsIntoThis (34 samples)
- 2.08% com.codename1.tools.translator.JavascriptReachability.enqueueResolved (34 samples)
- 1.95% java.lang.Object.hashCode (32 samples)
- 1.65% com.codename1.tools.translator.ByteCodeClass.hasDeclaredMethod (27 samples)
- 1.53% com.codename1.tools.translator.BytecodeMethod.updateInlinableFieldDependencies (25 samples)
- 1.47% com.codename1.tools.translator.bytecodes.Invoke.resolveDirectTarget (24 samples)
- 1.47% com.codename1.tools.translator.bytecodes.Invoke.findMethodUp (24 samples)
- 1.40% com.codename1.tools.translator.BytecodeMethod.optimize (23 samples)
- 1.28% com.codename1.tools.translator.BytecodeMethod.appendMethodSignatureSuffixFromDesc (21 samples)
- 1.10% com.codename1.tools.translator.IteratorEscape.walk (18 samples)
- 1.10% java.util.HashMap.hash (18 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.

shai-almog · 2026-10-06T09:54:04Z

Compared 172 screenshots: 172 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 50ms / native 2ms = 25.0x speedup
SIMD float-mul (64K x300)	java 49ms / native 2ms = 24.5x 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	77.000 ms
Base64 encode ratio (SIMD/CN1)	1.242x (24.2% slower)
Base64 SIMD decode	73.000 ms
Base64 decode ratio (SIMD/CN1)	1.043x (4.3% slower)
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)	19.000 ms
Image applyMask ratio (SIMD on/off)	1.000x (0.0% 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)	23.000 ms
Image modifyAlpha removeColor (SIMD on)	14.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.609x (39.1% 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 15% (time) / 15% (RAM) away from its baseline in vm/selfhost/perf-baseline/ fails: above it is a regression, below it an improvement that has to be rebaselined (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	1.10x (base 1.11x, -0.9%)	0.80x (base 0.90x, -11.0%)	ok
translator (self)	4	0.80x (base 0.75x, +7.1%)	0.44x (base 0.45x, -1.9%)	ok
intArithmetic	4	1.04x (base 1.04x, +0.0%)	0.06x (base 0.06x, +1.5%)	ok
longArithmetic	4	0.79x (base 0.80x, -0.0%)	0.06x (base 0.06x, +1.6%)	ok
mathTranscendental	4	0.68x (base 0.72x, -5.5%)	0.06x (base 0.06x, +0.5%)	ok
arraySequential	4	0.37x (base 0.46x, -17.8%)	0.39x (base 0.39x, -0.1%)	ok
arrayRandom	4	0.94x (base 0.94x, +0.1%)	0.23x (base 0.23x, +0.0%)	ok
objectAllocation	4	1.79x (base 2.81x, -36.2%)	0.41x (base 0.43x, -4.6%)	ok
valueEscape	4	0.76x (base 0.76x, +0.0%)	0.05x (base 0.05x, +1.1%)	ok
hashMapChurn	4	0.99x (base 0.98x, +0.8%)	0.11x (base 0.12x, -8.7%)	ok
stringBuilding	4	1.40x (base 1.43x, -2.1%)	0.27x (base 0.27x, -0.3%)	ok
recursion	4	1.46x (base 1.46x, -0.1%)	0.06x (base 0.07x, -0.4%)	ok
quicksort	4	1.01x (base 1.00x, +0.8%)	0.12x (base 0.12x, -0.1%)	ok

Result: no regression

shai-almog · 2026-10-06T10:03:22Z

@codex review

chatgpt-codex-connector

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: cd1dec4792

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

Open a pull request for review
Mark a draft as ready
Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

shai-almog · 2026-10-06T11:04:43Z

@codex review

chatgpt-codex-connector

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: 9137d02aac

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

Open a pull request for review
Mark a draft as ready
Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

shai-almog · 2026-10-06T11:48:27Z

@codex review

chatgpt-codex-connector

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: 82d4cfa017

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

Open a pull request for review
Mark a draft as ready
Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

shai-almog · 2026-10-06T15:14:37Z

@codex review

chatgpt-codex-connector

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: 586b58302c

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

Open a pull request for review
Mark a draft as ready
Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

shai-almog · 2026-10-06T16:26:16Z

@codex review

chatgpt-codex-connector

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: 88df949265

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

Open a pull request for review
Mark a draft as ready
Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

shai-almog · 2026-10-06T17:59:27Z

@codex review

chatgpt-codex-connector

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: 395e696141

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

Open a pull request for review
Mark a draft as ready
Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

shai-almog · 2026-10-06T21:17:56Z

Compared 223 screenshots: 223 matched.
✅ Native Apple Watch (watchOS, Core Graphics) screenshot tests passed.

shai-almog · 2026-10-06T22:05:35Z

Compared 155 screenshots: 155 matched.
✅ Native iOS Metal screenshot tests passed.

Benchmark Results

VM Translation Time: 0 seconds
Compilation Time: 1862 seconds

Build and Run Timing

Metric	Duration
Simulator Boot	81000 ms
Simulator Boot (Run)	1000 ms
App Install	17000 ms
App Launch	7000 ms
Test Execution	413000 ms

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	SSE2 (x64) / NEON (arm64) native kernels
SIMD int-add (64K x300)	java 67ms / native 7ms = 9.5x speedup
SIMD float-mul (64K x300)	java 61ms / native 3ms = 20.3x 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	78.000 ms
Base64 native encode	1553.000 ms
Base64 encode ratio (CN1/native)	0.046x (95.4% faster)
Base64 native decode	1020.000 ms
Base64 decode ratio (CN1/native)	0.076x (92.4% faster)
Base64 SIMD encode	74.000 ms
Base64 encode ratio (SIMD/CN1)	1.028x (2.8% slower)
Base64 SIMD decode	75.000 ms
Base64 decode ratio (SIMD/CN1)	0.962x (3.8% faster)
Base64 encode ratio (SIMD/native)	0.048x (95.2% faster)
Base64 decode ratio (SIMD/native)	0.074x (92.6% faster)
Image encode benchmark iterations	100
Image createMask (SIMD off)	15.000 ms
Image createMask (SIMD on)	3.000 ms
Image createMask ratio (SIMD on/off)	0.200x (80.0% faster)
Image applyMask (SIMD off)	97.000 ms
Image applyMask (SIMD on)	67.000 ms
Image applyMask ratio (SIMD on/off)	0.691x (30.9% faster)
Image modifyAlpha (SIMD off)	58.000 ms
Image modifyAlpha (SIMD on)	107.000 ms
Image modifyAlpha ratio (SIMD on/off)	1.845x (84.5% slower)
Image modifyAlpha removeColor (SIMD off)	307.000 ms
Image modifyAlpha removeColor (SIMD on)	41.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.134x (86.6% faster)

shai-almog · 2026-10-06T22:24:23Z

Compared 155 screenshots: 155 matched.
✅ Native iOS Metal screenshot tests passed.

Benchmark Results

VM Translation Time: 0 seconds
Compilation Time: 2013 seconds

Build and Run Timing

Metric	Duration
Simulator Boot	0 ms
Simulator Boot (Run)	1000 ms
App Install	22000 ms
App Launch	15000 ms
Test Execution	429000 ms

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	SSE2 (x64) / NEON (arm64) native kernels
SIMD int-add (64K x300)	java 158ms / native 3ms = 52.6x speedup
SIMD float-mul (64K x300)	java 173ms / native 8ms = 21.6x 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	153.000 ms
Base64 CN1 decode	131.000 ms
Base64 native encode	1873.000 ms
Base64 encode ratio (CN1/native)	0.082x (91.8% faster)
Base64 native decode	1502.000 ms
Base64 decode ratio (CN1/native)	0.087x (91.3% faster)
Base64 SIMD encode	105.000 ms
Base64 encode ratio (SIMD/CN1)	0.686x (31.4% faster)
Base64 SIMD decode	105.000 ms
Base64 decode ratio (SIMD/CN1)	0.802x (19.8% faster)
Base64 encode ratio (SIMD/native)	0.056x (94.4% faster)
Base64 decode ratio (SIMD/native)	0.070x (93.0% faster)
Image encode benchmark iterations	100
Image createMask (SIMD off)	12.000 ms
Image createMask (SIMD on)	4.000 ms
Image createMask ratio (SIMD on/off)	0.333x (66.7% faster)
Image applyMask (SIMD off)	89.000 ms
Image applyMask (SIMD on)	77.000 ms
Image applyMask ratio (SIMD on/off)	0.865x (13.5% faster)
Image modifyAlpha (SIMD off)	85.000 ms
Image modifyAlpha (SIMD on)	66.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.776x (22.4% faster)
Image modifyAlpha removeColor (SIMD off)	349.000 ms
Image modifyAlpha removeColor (SIMD on)	41.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.117x (88.3% faster)

shai-almog · 2026-10-06T22:31:23Z

Compared 150 screenshots: 150 matched.
✅ Native Apple TV (tvOS, Metal) screenshot tests passed.

shai-almog · 2026-10-06T22:55:37Z

Compared 166 screenshots: 166 matched.
✅ Native Mac screenshot tests passed.

Benchmark Results

VM Translation Time: 0 seconds
Compilation Time: 332 seconds

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	SSE2 (x64) / NEON (arm64) native kernels
SIMD int-add (64K x300)	java 79ms / native 2ms = 39.5x speedup
SIMD float-mul (64K x300)	java 56ms / native 5ms = 11.2x 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	active (NEON-accelerated)
Base64 CN1 encode	64.000 ms
Base64 CN1 decode	67.000 ms
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)	81.000 ms
Image applyMask (SIMD on)	79.000 ms
Image applyMask ratio (SIMD on/off)	0.975x (2.5% faster)
Image modifyAlpha (SIMD off)	70.000 ms
Image modifyAlpha (SIMD on)	54.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.771x (22.9% faster)
Image modifyAlpha removeColor (SIMD off)	63.000 ms
Image modifyAlpha removeColor (SIMD on)	63.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	1.000x (0.0% slower)

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 15% (time) / 15% (RAM) away from its baseline in vm/selfhost/perf-baseline/ fails: above it is a regression, below it an improvement that has to be rebaselined (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	0.80x (base 0.96x, -15.9%)	1.31x (base 1.34x, -2.0%)	ok
translator (self)	3	0.65x (base 0.62x, +4.1%)	0.61x (base 0.57x, +7.5%)	ok
intArithmetic	3	1.06x (base 1.03x, +2.7%)	0.12x (base 0.12x, +1.1%)	ok
longArithmetic	3	1.07x (base 1.03x, +4.0%)	0.12x (base 0.07x, +66.2%)	ok
mathTranscendental	3	0.93x (base 1.01x, -7.8%)	0.12x (base 0.12x, +0.2%)	ok
arraySequential	3	0.45x (base 0.42x, +7.4%)	0.53x (base 0.53x, -0.3%)	ok
arrayRandom	3	0.98x (base 0.99x, -0.8%)	0.32x (base 0.32x, -0.0%)	ok
objectAllocation	3	1.07x (base 1.11x, -3.6%)	0.69x (base 0.71x, -2.2%)	ok
valueEscape	3	0.48x (base 0.51x, -6.1%)	0.09x (base 0.09x, -1.7%)	ok
hashMapChurn	3	0.90x (base 1.18x, -23.7%)	0.08x (base 0.07x, +18.0%)	ok
stringBuilding	3	0.72x (base 0.84x, -14.4%)	0.53x (base 0.46x, +14.6%)	ok
recursion	3	1.27x (base 1.24x, +3.2%)	0.12x (base 0.12x, -0.1%)	ok
quicksort	3	0.98x (base 1.01x, -3.0%)	0.11x (base 0.11x, +0.3%)	ok

Result: no regression

shai-almog · 2026-10-06T23:39:13Z

Compared 154 screenshots: 154 matched.
✅ Native Mac screenshot tests passed.

Benchmark Results

VM Translation Time: 0 seconds
Compilation Time: 297 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 60ms / native 3ms = 20.0x 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	65.000 ms
Base64 native encode	578.000 ms
Base64 encode ratio (CN1/native)	0.092x (90.8% faster)
Base64 native decode	257.000 ms
Base64 decode ratio (CN1/native)	0.253x (74.7% faster)
Base64 SIMD encode	52.000 ms
Base64 encode ratio (SIMD/CN1)	0.981x (1.9% faster)
Base64 SIMD decode	48.000 ms
Base64 decode ratio (SIMD/CN1)	0.738x (26.2% faster)
Base64 encode ratio (SIMD/native)	0.090x (91.0% faster)
Base64 decode ratio (SIMD/native)	0.187x (81.3% faster)
Image encode benchmark iterations	100
Image createMask (SIMD off)	7.000 ms
Image createMask (SIMD on)	2.000 ms
Image createMask ratio (SIMD on/off)	0.286x (71.4% faster)
Image applyMask (SIMD off)	44.000 ms
Image applyMask (SIMD on)	47.000 ms
Image applyMask ratio (SIMD on/off)	1.068x (6.8% slower)
Image modifyAlpha (SIMD off)	32.000 ms
Image modifyAlpha (SIMD on)	26.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.813x (18.8% faster)
Image modifyAlpha removeColor (SIMD off)	31.000 ms
Image modifyAlpha removeColor (SIMD on)	50.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	1.613x (61.3% slower)

shai-almog · 2026-10-07T01:26:51Z

@codex review

chatgpt-codex-connector

💡 Codex Review

Here are some automated review suggestions for this pull request.

Reviewed commit: 11ca28fa5d

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

Open a pull request for review
Mark a draft as ready
Comment "@codex review".

If Codex has suggestions, it will comment; otherwise it will react with 👍.

Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".

shai-almog · 2026-10-07T02:43:24Z

@codex review

Fix JavaScript text selection and Android startup

8fe6cc8

chatgpt-codex-connector Bot reviewed Oct 6, 2026

View reviewed changes

Address JavaScript selection review and CI checks

e3ee849

Stabilize cross-platform selection review fixtures

1bc707e

chatgpt-codex-connector Bot reviewed Oct 6, 2026

View reviewed changes

Fix native selection hints, RTL and interaction exclusions

434ef3f

Add braces required by the CI quality gate

cd1dec4

chatgpt-codex-connector Bot reviewed Oct 6, 2026

View reviewed changes

Comment thread CodenameOne/src/com/codename1/ui/Component.java Outdated

Comment thread Ports/JavaScriptPort/src/main/java/com/codename1/impl/html5/JavaScriptTextLayer.java Outdated

Comment thread Ports/JavaScriptPort/src/main/java/com/codename1/impl/html5/HTML5Implementation.java

shai-almog added 2 commits October 6, 2026 13:38

Preserve stylus routing, selection updates and offscreen text

e093b09

Check PR baseline ownership against the actual merge parent

9137d02

chatgpt-codex-connector Bot reviewed Oct 6, 2026

View reviewed changes

Comment thread CodenameOne/src/com/codename1/ui/Component.java Outdated

Comment thread Ports/JavaScriptPort/src/main/java/com/codename1/impl/html5/HTML5Implementation.java

Comment thread vm/ByteCodeTranslator/src/javascript/browser_bridge.js Outdated

Preserve form gestures and native text state transitions

82d4cfa

chatgpt-codex-connector Bot reviewed Oct 6, 2026

View reviewed changes

shai-almog added 2 commits October 6, 2026 16:13

Preserve native text accessibility, lifecycle and rendering semantics

49c8b1c

Consolidate duplicate Maven plugins rejected by docs CI

586b583

chatgpt-codex-connector Bot reviewed Oct 6, 2026

View reviewed changes

Preserve native text traversal, hit testing and live editor metadata

88df949

chatgpt-codex-connector Bot reviewed Oct 6, 2026

View reviewed changes

shai-almog added 2 commits October 6, 2026 20:36

Preserve native selection gestures, accessibility and rendering state

cb124c3

Complete superseded native editor sessions without touching replacements

395e696

chatgpt-codex-connector Bot reviewed Oct 6, 2026

View reviewed changes

shai-almog added 3 commits October 7, 2026 04:09

Merge master and preserve consolidated backend plugin configuration

79dda67

Fix native text lifecycle regressions and constructor repaint failures

2598447

Preserve Windows suite symbols in diagnostic artifacts

11ca28f

Keep done-listener refresh compliant with the PMD gate

f05e14d

chatgpt-codex-connector Bot reviewed Oct 7, 2026

View reviewed changes

Fix native text eligibility and editor ownership review cases

aefa57c

Conversation

shai-almog commented Oct 6, 2026

Changes

Validation

Uh oh!

shai-almog commented Oct 6, 2026

Uh oh!

chatgpt-codex-connector Bot commented Oct 6, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Codex Review Summary

Uh oh!

chatgpt-codex-connector Bot left a comment

Choose a reason for hiding this comment

💡 Codex Review

Uh oh!

Uh oh!

Uh oh!

Uh oh!

Uh oh!

Uh oh!

Uh oh!

Uh oh!

Uh oh!

github-actions Bot commented Oct 6, 2026

Cloudflare Preview

Uh oh!

shai-almog commented Oct 6, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Benchmark Results

Detailed Performance Metrics

Uh oh!

github-actions Bot commented Oct 6, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Uh oh!

shai-almog commented Oct 6, 2026

Uh oh!

chatgpt-codex-connector Bot left a comment

Choose a reason for hiding this comment

💡 Codex Review

Uh oh!

Uh oh!

Uh oh!

Uh oh!

Uh oh!

shai-almog commented Oct 6, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Native Android coverage

Native Android coverage

Benchmark Results

Detailed Performance Metrics

Uh oh!

shai-almog commented Oct 6, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Uh oh!

shai-almog commented Oct 6, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Benchmark Results

Detailed Performance Metrics

ParparVM vs HotSpot (JDK 25): Windows x64

Uh oh!

github-actions Bot commented Oct 6, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

✅ Continuous Quality Report

Test & Coverage

Static Analysis

Uh oh!

shai-almog commented Oct 6, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

ParparVM vs HotSpot (JDK 25): Linux x64

Uh oh!

shai-almog commented Oct 6, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

ParparVM vs HotSpot (JDK 25): Linux arm64

Uh oh!

github-actions Bot commented Oct 6, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

✅ ByteCodeTranslator Quality Report

Test & Coverage

Benchmark Results

Static Analysis

chatgpt-codex-connector Bot commented Oct 6, 2026 •

edited

Loading

shai-almog commented Oct 6, 2026 •

edited

Loading

github-actions Bot commented Oct 6, 2026 •

edited

Loading

shai-almog commented Oct 6, 2026 •

edited

Loading

shai-almog commented Oct 6, 2026 •

edited

Loading

shai-almog commented Oct 6, 2026 •

edited

Loading

github-actions Bot commented Oct 6, 2026 •

edited

Loading

shai-almog commented Oct 6, 2026 •

edited

Loading

shai-almog commented Oct 6, 2026 •

edited

Loading

github-actions Bot commented Oct 6, 2026 •

edited

Loading

shai-almog commented Oct 6, 2026 •

edited

Loading