Add built-in on-device vision, language, and inference by shai-almog · Pull Request #5467 · codenameone/CodenameOne

shai-almog · 2026-07-25T11:31:39Z

Summary

add vendor-neutral built-in APIs for on-device vision, language, and LiteRT/Core ML inference
add Android ML Kit/LiteRT implementations, iOS Vision/NaturalLanguage/Core ML implementations, and Mac Catalyst Vision support
centralize granular class- and method-level source/dependency selection in PlatformFeatureCatalog, shared with BuildDaemon
retire the small ML Kit and TFLite cn1libs while retaining large-model libraries such as Whisper and Stable Diffusion
document API availability, build hints, migration, and platform limitations
add focused core/catalog/builder tests plus HelloCodenameOne and Port Status coverage without screenshot requirements

Validation

Java 8 core compile: 1,615 sources
focused core API tests: 9 passed
platform feature catalog tests: 20 passed
focused builder selection tests: 24 passed before rebasing; the only rebase conflict was in Port Status coverage
Port Status validator: 170 tests, 57 features, 11 ports, 303 golden names
Port Status conformance tests: 9 passed
HelloCodenameOne shared-source Java compile: 196 sources
Android adapters compiled against the official ML Kit and LiteRT dependencies
iOS all-feature device Xcode build passed
Mac Catalyst default Apple Vision build passed

Platform note

Google ML Kit's MLImage dependency currently contains a device-only slice, so an arm64 iOS Simulator build that explicitly selects the ML Kit vision backend cannot link. Device builds pass, and the default Apple Vision path does not pull that pod into simulator builds.

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github-actions · 2026-07-25T11:50:17Z

Cloudflare Preview

URL: https://pr-5467-website-preview.codenameone.pages.dev
Branch: pr-5467-website-preview

github-actions · 2026-07-25T11:59:13Z

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)

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shai-almog · 2026-07-25T12:59:45Z

Compared 151 screenshots: 151 matched.

Native Android coverage

📊 Line coverage: 7.73% (7476/96721 lines covered) [HTML preview] (artifact android-coverage-report, jacocoAndroidReport/html/index.html)
- Other counters: instruction 7.61% (39007/512565), branch 2.74% (1333/48583), complexity 3.07% (1600/52127), method 4.73% (1303/27567), class 9.61% (353/3672)
- 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: 7.73% (7476/96721 lines covered) [HTML preview] (artifact android-coverage-report, jacocoAndroidReport/html/index.html)
- Other counters: instruction 7.61% (39007/512565), branch 2.74% (1333/48583), complexity 3.07% (1600/52127), method 4.73% (1303/27567), class 9.61% (353/3672)
- 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 300ms / native 61ms = 4.9x speedup
SIMD float-mul (64K x300)	java 174ms / native 122ms = 1.4x 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	97.000 ms
Base64 CN1 decode	92.000 ms
Base64 native encode	333.000 ms
Base64 encode ratio (CN1/native)	0.291x (70.9% faster)
Base64 native decode	307.000 ms
Base64 decode ratio (CN1/native)	0.300x (70.0% faster)
Image encode benchmark status	skipped (SIMD unsupported)

shai-almog · 2026-07-25T13:08:34Z

Compared 144 screenshots: 144 matched.
✅ Native Apple TV (tvOS, Metal) screenshot tests passed.

shai-almog · 2026-07-25T13:08:45Z

Compared 146 screenshots: 146 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 73ms / native 5ms = 14.6x speedup
SIMD float-mul (64K x300)	java 62ms / native 5ms = 12.4x 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	195.000 ms
Base64 CN1 decode	156.000 ms
Base64 SIMD encode	101.000 ms
Base64 encode ratio (SIMD/CN1)	0.518x (48.2% faster)
Base64 SIMD decode	83.000 ms
Base64 decode ratio (SIMD/CN1)	0.532x (46.8% faster)
Image encode benchmark iterations	100
Image createMask (SIMD off)	26.000 ms
Image createMask (SIMD on)	107.000 ms
Image createMask ratio (SIMD on/off)	4.115x (311.5% slower)
Image applyMask (SIMD off)	63.000 ms
Image applyMask (SIMD on)	56.000 ms
Image applyMask ratio (SIMD on/off)	0.889x (11.1% faster)
Image modifyAlpha (SIMD off)	59.000 ms
Image modifyAlpha (SIMD on)	54.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.915x (8.5% faster)
Image modifyAlpha removeColor (SIMD off)	41.000 ms
Image modifyAlpha removeColor (SIMD on)	29.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.707x (29.3% faster)

shai-almog · 2026-07-25T13:18:55Z

Compared 146 screenshots: 146 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 55ms / native 4ms = 13.7x speedup
SIMD float-mul (64K x300)	java 55ms / native 4ms = 13.7x 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	174.000 ms
Base64 CN1 decode	101.000 ms
Base64 SIMD encode	87.000 ms
Base64 encode ratio (SIMD/CN1)	0.500x (50.0% faster)
Base64 SIMD decode	76.000 ms
Base64 decode ratio (SIMD/CN1)	0.752x (24.8% faster)
Image encode benchmark iterations	100
Image createMask (SIMD off)	139.000 ms
Image createMask (SIMD on)	19.000 ms
Image createMask ratio (SIMD on/off)	0.137x (86.3% faster)
Image applyMask (SIMD off)	48.000 ms
Image applyMask (SIMD on)	39.000 ms
Image applyMask ratio (SIMD on/off)	0.813x (18.8% faster)
Image modifyAlpha (SIMD off)	37.000 ms
Image modifyAlpha (SIMD on)	31.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.838x (16.2% faster)
Image modifyAlpha removeColor (SIMD off)	36.000 ms
Image modifyAlpha removeColor (SIMD on)	30.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.833x (16.7% faster)

shai-almog · 2026-07-25T13:19:50Z

Compared 146 screenshots: 146 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 56ms / native 3ms = 18.6x speedup
SIMD float-mul (64K x300)	java 55ms / native 3ms = 18.3x 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	247.000 ms
Base64 CN1 decode	127.000 ms
Base64 SIMD encode	65.000 ms
Base64 encode ratio (SIMD/CN1)	0.263x (73.7% faster)
Base64 SIMD decode	59.000 ms
Base64 decode ratio (SIMD/CN1)	0.465x (53.5% faster)
Image encode benchmark iterations	100
Image createMask (SIMD off)	11.000 ms
Image createMask (SIMD on)	9.000 ms
Image createMask ratio (SIMD on/off)	0.818x (18.2% faster)
Image applyMask (SIMD off)	24.000 ms
Image applyMask (SIMD on)	19.000 ms
Image applyMask ratio (SIMD on/off)	0.792x (20.8% faster)
Image modifyAlpha (SIMD off)	16.000 ms
Image modifyAlpha (SIMD on)	12.000 ms
Image modifyAlpha ratio (SIMD on/off)	0.750x (25.0% faster)
Image modifyAlpha removeColor (SIMD off)	18.000 ms
Image modifyAlpha removeColor (SIMD on)	12.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.667x (33.3% faster)

shai-almog · 2026-07-25T13:22:18Z

Compared 181 screenshots: 181 matched.
✅ JavaScript-port screenshot tests passed.

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github-actions · 2026-07-25T13:50:34Z

✅ Continuous Quality Report

Test & Coverage

✅ Tests: 4463 total, 0 failed, 1 skipped
📊 Line coverage: 57.59% [HTML preview] [Download]
- Lowest covered classes
  - com.codename1.gaming.level.GameSceneView – 0.00%
  - com.codename1.crash.CrashProtection – 0.00%
  - com.codename1.payment.CommerceManager – 0.00%
  - com.codename1.crash.PiiScrubber – 0.00%
  - com.codename1.crash.CrashReportPayload – 0.00%
  - com.codename1.vr.VRView – 0.00%
  - com.codename1.appreview.RatingDialog – 0.00%
  - com.codename1.calendar.DefaultCalendarHttpTransport – 0.00%
  - com.codename1.security.Secrets – 0.00%
  - com.codename1.calendar.OidcCalendarTokenProvider – 0.00%

Static Analysis

SpotBugs [HTML preview] [Download]
- ✅ ByteCodeTranslator: 0 findings (no issues)
- ❌ android: 1 findings (Normal: 1)
  - Top findings
    - Normal: com/codename1/impl/android/AndroidCalendarSource.java:122 – com.codename1.impl.android.AndroidCalendarSource.queryEventsBlocking(CalendarQuery) uses the same code for two branches (rule: DB_DUPLICATE_BRANCHES)
- ✅ codenameone-maven-plugin: 0 findings (no issues)
- ✅ core-unittests: 0 findings (no issues)
- ✅ ios: 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.

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shai-almog · 2026-07-25T14:05:48Z

Compared 217 screenshots: 217 matched.
✅ Native Apple Watch (watchOS, Core Graphics) screenshot tests passed.

shai-almog · 2026-07-25T15:11:33Z

Compared 147 screenshots: 147 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.

shai-almog · 2026-07-25T15:11:38Z

Compared 147 screenshots: 147 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.

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shai-almog · 2026-07-25T15:34:20Z

Compared 148 screenshots: 148 matched.
✅ Native Mac screenshot tests passed.

Benchmark Results

VM Translation Time: 0 seconds
Compilation Time: 197 seconds

Detailed Performance Metrics

Metric	Duration
SIMD kernel backend	SSE2 (x64) / NEON (arm64) native kernels
SIMD int-add (64K x300)	java 54ms / native 3ms = 18.0x 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	155.000 ms
Base64 CN1 decode	114.000 ms
Base64 native encode	458.000 ms
Base64 encode ratio (CN1/native)	0.338x (66.2% faster)
Base64 native decode	195.000 ms
Base64 decode ratio (CN1/native)	0.585x (41.5% faster)
Base64 SIMD encode	48.000 ms
Base64 encode ratio (SIMD/CN1)	0.310x (69.0% faster)
Base64 SIMD decode	49.000 ms
Base64 decode ratio (SIMD/CN1)	0.430x (57.0% faster)
Base64 encode ratio (SIMD/native)	0.105x (89.5% faster)
Base64 decode ratio (SIMD/native)	0.251x (74.9% faster)
Image encode benchmark iterations	100
Image createMask (SIMD off)	7.000 ms
Image createMask (SIMD on)	1.000 ms
Image createMask ratio (SIMD on/off)	0.143x (85.7% faster)
Image applyMask (SIMD off)	41.000 ms
Image applyMask (SIMD on)	29.000 ms
Image applyMask ratio (SIMD on/off)	0.707x (29.3% faster)
Image modifyAlpha (SIMD off)	32.000 ms
Image modifyAlpha (SIMD on)	32.000 ms
Image modifyAlpha ratio (SIMD on/off)	1.000x (0.0% slower)
Image modifyAlpha removeColor (SIMD off)	35.000 ms
Image modifyAlpha removeColor (SIMD on)	30.000 ms
Image modifyAlpha removeColor ratio (SIMD on/off)	0.857x (14.3% faster)

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Add built-in on-device AI support

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Copilot AI review requested due to automatic review settings July 25, 2026 11:31

Copilot AI reviewed Jul 25, 2026

Fix AI source and guide compliance

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Fix AI guide prose lint

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Fix iOS inference file loading on Catalyst

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Avoid iOS adapter outer captures

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Satisfy core AI static analysis

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Exclude optional Android AI sources from port build

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Fix ML Kit builds on Apple Silicon simulators

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Support SIMD fallback on x86 iOS simulators

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Add full headers to iOS SIMD sources

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shai-almog commented Jul 25, 2026

Summary

Validation

Platform note

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Cloudflare Preview

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Native Android coverage

Native Android coverage

Benchmark Results

Detailed Performance Metrics

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Detailed Performance Metrics

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✅ Continuous Quality Report

Test & Coverage

Static Analysis

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