Final comparison: all 6 proposals combined by VoX · Pull Request #8 · VoX/Bob-Rust-Java

VoX · 2026-04-04T23:23:30Z

Summary

Adds a comprehensive comparison test (FinalComparisonTest.java) that benchmarks all features OFF vs all features ON across 6 test images (3 synthetic + 3 real photos)
Runs each configuration 5 times for statistical rigor with paired t-test analysis
Generates before/after images, target references, and diff heatmaps in test-results/final-comparison/

Results

Proposals 1-5 (SA + error-guided + adaptive size + batch-parallel + TSP)

Image	Before	After	Improvement	p-value	Sig?
photo_detail	0.250774	0.250016	+0.30%	0.1051	No
nature	0.058198	0.058940	-1.27%	1.0000	No
edges	0.244876	0.245867	-0.40%	1.0000	No
river	0.090141	0.089522	+0.69%	0.0410	Yes
portrait	0.062045	0.060768	+2.06%	0.0429	Yes
landscape	0.063394	0.063036	+0.56%	0.0695	No

Aggregate: +0.17% (real photos benefit most)

All 6 Proposals (with Progressive Resolution)

Progressive resolution trades ~5% energy score for significantly faster generation. This is expected — it generates 40% of shapes at reduced resolution for speed.

Key Findings

Real photographs show the clearest improvement from proposals 1-5 (portrait: +2.06%, river: +0.69%)
Synthetic test images show mixed results — the baseline was already near-optimal for simple patterns
Progressive resolution adds speed at a small quality cost; appropriate for interactive use
Batch-parallel energy (Proposal 4) and TSP optimization (Proposal 5) primarily improve performance/drawing efficiency rather than energy scores

See test-results/final-comparison/COMPARISON.md for full statistical analysis with confidence intervals.

Test plan

./gradlew clean build -x test passes
FinalComparisonTest generates all images and statistics
All comparison images committed to repo

🤖 Generated with Claude Code

Generates before/after images for 6 test images (3 synthetic + 3 real photos) with 5 runs each for statistical rigor. Includes paired t-test results, diff heatmaps, and a summary COMPARISON.md documenting energy scores across all configurations (all-off, proposals 1-5, all 6 proposals). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Copilot

Pull request overview

Adds a new end-to-end “final comparison” benchmark/test that runs the generator with all features OFF vs all features ON (including progressive resolution), repeats runs for basic statistical analysis, and writes a Markdown report plus before/after/target/diff images under test-results/final-comparison/.

Changes:

Add FinalComparisonTest to generate images, compute summary stats, and emit COMPARISON.md.
Commit the resulting comparison artifacts (targets, before/after renders, diff heatmaps, and photo copies).
Add a gradlew wrapper script to the repo.

Reviewed changes

Copilot reviewed 2 out of 30 changed files in this pull request and generated 5 comments.

Show a summary per file

File	Description
test-results/final-comparison/COMPARISON.md	Generated report summarizing per-image scores, significance, and linking rendered artifacts
test-results/final-comparison/edges_after.png	Generated “all ON” output image for edges case
test-results/final-comparison/edges_before.png	Generated “all OFF” output image for edges case
test-results/final-comparison/edges_diff.png	Generated diff heatmap for edges case
test-results/final-comparison/edges_target.png	Generated target/reference image for edges case
test-results/final-comparison/landscape_after.png	Generated “all ON” output image for landscape case
test-results/final-comparison/landscape_before.png	Generated “all OFF” output image for landscape case
test-results/final-comparison/landscape_diff.png	Generated diff heatmap for landscape case
test-results/final-comparison/landscape_target.png	Generated target/reference image for landscape case
test-results/final-comparison/nature_after.png	Generated “all ON” output image for nature case
test-results/final-comparison/nature_before.png	Generated “all OFF” output image for nature case
test-results/final-comparison/nature_diff.png	Generated diff heatmap for nature case
test-results/final-comparison/nature_target.png	Generated target/reference image for nature case
test-results/final-comparison/photo_detail_after.png	Generated “all ON” output image for photo_detail case
test-results/final-comparison/photo_detail_before.png	Generated “all OFF” output image for photo_detail case
test-results/final-comparison/photo_detail_diff.png	Generated diff heatmap for photo_detail case
test-results/final-comparison/photo_detail_target.png	Generated target/reference image for photo_detail case
test-results/final-comparison/portrait_after.png	Generated “all ON” output image for portrait case
test-results/final-comparison/portrait_before.png	Generated “all OFF” output image for portrait case
test-results/final-comparison/portrait_diff.png	Generated diff heatmap for portrait case
test-results/final-comparison/portrait_target.png	Generated target/reference image for portrait case
test-results/final-comparison/river_after.png	Generated “all ON” output image for river case
test-results/final-comparison/river_before.png	Generated “all OFF” output image for river case
test-results/final-comparison/river_diff.png	Generated diff heatmap for river case
test-results/final-comparison/river_target.png	Generated target/reference image for river case
test-results/final-comparison/photos/landscape.png	Committed photo input copy used by final comparison
test-results/final-comparison/photos/portrait.png	Committed photo input copy used by final comparison
test-results/final-comparison/photos/river.png	Committed photo input copy used by final comparison
src/test/java/com/bobrust/generator/FinalComparisonTest.java	New benchmark-style test that runs comparisons, computes stats, and writes artifacts
gradlew	Adds Gradle wrapper start script

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Copilot · 2026-04-04T23:28:43Z

+ /**
+ * Runs the generator with SA, error-guided placement, and adaptive sizing OFF.
+ * - No error map (uniform random placement)
+ * - No gradient map (uniform random sizing)
+ * - Classic hill climbing (no SA)
+ * - Energy evaluation still uses whatever is compiled (batch-parallel doesn't affect quality)
+ * - No progressive resolution
+ *
+ * This mirrors the original algorithm before any proposals were added.


The Javadoc says the "all features OFF" baseline uses "classic energy", but Worker.getEnergy() always calls BorstCore.differencePartialThread(...), which will use the batch-parallel combined pass when AppConstants.USE_BATCH_PARALLEL is true. That means the baseline isn’t actually forcing classic energy evaluation. Consider either (a) explicitly routing baseline energy through differencePartialThreadClassic(...) (e.g., via a specialized Worker/State for this test) or (b) updating the doc/comments to reflect that baseline energy depends on compile-time flags.

Copilot · 2026-04-04T23:28:43Z

+ int times = Math.max(1, Runtime.getRuntime().availableProcessors() / 2);
+
+ for (int i = 0; i < maxShapes; i++) {
+ worker.init(model.current, model.score);


This baseline setup directly reads model.score (a protected field). Using the public accessor (model.getScore()) would make this test less coupled to Model internals and less fragile if visibility changes.
Suggested change
worker.init(model.current, model.score);
worker.init(model.current, model.getScore());

Copilot · 2026-04-04T23:28:44Z

+ double x = t * (1 - 1.0 / (4 * df)) / Math.sqrt(1 + t * t / (2.0 * df));
+ return 1.0 - normalCDF(x);
+ }
+
+ private static double normalCDF(double x) {
+ if (x < -8) return 0;
+ if (x > 8) return 1;
+ double t = 1.0 / (1.0 + 0.2316419 * Math.abs(x));
+ double d = 0.3989422804014327;
+ double p = d * Math.exp(-x * x / 2.0) *
+ (t * (0.319381530 + t * (-0.356563782 + t * (1.781477937 + t * (-1.821255978 + t * 1.330274429)))));
+ return x > 0 ? 1.0 - p : p;
+ }


The p-value calculation is labeled/reporting as a "paired one-sided t-test", but approximatePValue(...) uses a normal approximation (and ignores the Student’s t CDF), which can be noticeably inaccurate for df=4 (NUM_RUNS=5). Either compute the one-sided p-value from a proper t distribution (e.g., via a small stats utility or a dependency like Commons Math) or update the report text to clearly state it’s a normal approximation of the t-statistic.
Suggested change
doublex = t * (1 - 1.0 / (4 * df)) / Math.sqrt(1 + t * t / (2.0 * df));
return1.0 - normalCDF(x);
}
privatestaticdoublenormalCDF(doublex) {
if (x < -8) return0;
if (x > 8) return1;
doublet = 1.0 / (1.0 + 0.2316419 * Math.abs(x));
doubled = 0.3989422804014327;
doublep = d * Math.exp(-x * x / 2.0) *
(t * (0.319381530 + t * (-0.356563782 + t * (1.781477937 + t * (-1.821255978 + t * 1.330274429)))));
returnx > 0 ? 1.0 - p : p;
}
if (df <= 0) {
thrownewIllegalArgumentException("Degrees of freedom must be positive");
}
doublex = df / (df + t * t);
return0.5 * regularizedBeta(x, df / 2.0, 0.5);
}
privatestaticdoubleregularizedBeta(doublex, doublea, doubleb) {
if (x <= 0.0) return0.0;
if (x >= 1.0) return1.0;
doublebt = Math.exp(
logGamma(a + b) - logGamma(a) - logGamma(b)
+ a * Math.log(x) + b * Math.log(1.0 - x)
);
if (x < (a + 1.0) / (a + b + 2.0)) {
returnbt * betaContinuedFraction(x, a, b) / a;
}
return1.0 - bt * betaContinuedFraction(1.0 - x, b, a) / b;
}
privatestaticdoublebetaContinuedFraction(doublex, doublea, doubleb) {
finalintmaxIterations = 10000;
finaldoubleepsilon = 3.0e-14;
finaldoublefpMin = 1.0e-300;
doubleqab = a + b;
doubleqap = a + 1.0;
doubleqam = a - 1.0;
doublec = 1.0;
doubled = 1.0 - qab * x / qap;
if (Math.abs(d) < fpMin) d = fpMin;
d = 1.0 / d;
doubleh = d;
for (intm = 1; m <= maxIterations; m++) {
intm2 = 2 * m;
doubleaa = m * (b - m) * x / ((qam + m2) * (a + m2));
d = 1.0 + aa * d;
if (Math.abs(d) < fpMin) d = fpMin;
c = 1.0 + aa / c;
if (Math.abs(c) < fpMin) c = fpMin;
d = 1.0 / d;
h *= d * c;
aa = -(a + m) * (qab + m) * x / ((a + m2) * (qap + m2));
d = 1.0 + aa * d;
if (Math.abs(d) < fpMin) d = fpMin;
c = 1.0 + aa / c;
if (Math.abs(c) < fpMin) c = fpMin;
d = 1.0 / d;
doubledelta = d * c;
h *= delta;
if (Math.abs(delta - 1.0) < epsilon) {
break;
}
}
returnh;
}
privatestaticdoublelogGamma(doublex) {
double[] coefficients = {
676.5203681218851,
-1259.1392167224028,
771.3234287776531,
-176.6150291621406,
12.507343278686905,
-0.13857109526572012,
9.984369578019572e-6,
1.5056327351493116e-7
};
if (x < 0.5) {
returnMath.log(Math.PI) - Math.log(Math.sin(Math.PI * x)) - logGamma(1.0 - x);
}
x -= 1.0;
doublesum = 0.99999999999980993;
for (inti = 0; i < coefficients.length; i++) {
sum += coefficients[i] / (x + i + 1.0);
}
doubletmp = x + coefficients.length - 0.5;
return0.5 * Math.log(2.0 * Math.PI) + (x + 0.5) * Math.log(tmp) - tmp + Math.log(sum);
}

Copilot · 2026-04-04T23:28:44Z

+ // Real photos
+ File photoDir = new File("test-results/final-comparison/photos");
+ photoDir.mkdirs();
+ String[][] photoSources = {
+ {"river", "/tmp/photo1.jpg"},
+ {"portrait", "/tmp/photo2.jpg"},
+ {"landscape", "/tmp/photo3.jpg"}
+ };
+
+ List<BufferedImage> realPhotos = new ArrayList<>();
+ List<String> realNames = new ArrayList<>();
+ for (String[] src : photoSources) {
+ File photoFile = new File(src[1]);
+ if (photoFile.exists()) {
+ BufferedImage photo = ImageIO.read(photoFile);
+ if (photo != null) {
+ photo = resizeTo(photo, 128, 128);
+ realPhotos.add(photo);
+ realNames.add(src[0]);
+ ImageIO.write(photo, "png", new File(photoDir, src[0] + ".png"));
+ }
+ }
+ }
+


Hard-coding photo inputs to /tmp/photo1.jpg, etc. makes this test non-reproducible across machines/CI and also decoupled from the committed test-results artifacts. Prefer checking in known test photos under src/test/resources (or test-results/final-comparison/photos) and loading them via the classpath, or make the paths configurable via a system property and clearly skip with a message when inputs aren’t available.
Suggested change
// Real photos
FilephotoDir = newFile("test-results/final-comparison/photos");
photoDir.mkdirs();
String[][] photoSources = {
{"river", "/tmp/photo1.jpg"},
{"portrait", "/tmp/photo2.jpg"},
{"landscape", "/tmp/photo3.jpg"}
};
List<BufferedImage> realPhotos = newArrayList<>();
List<String> realNames = newArrayList<>();
for (String[] src : photoSources) {
FilephotoFile = newFile(src[1]);
if (photoFile.exists()) {
BufferedImagephoto = ImageIO.read(photoFile);
if (photo != null) {
photo = resizeTo(photo, 128, 128);
realPhotos.add(photo);
realNames.add(src[0]);
ImageIO.write(photo, "png", newFile(photoDir, src[0] + ".png"));
}
}
}
// Real photos (optional, configurable via system properties)
FilephotoDir = newFile("test-results/final-comparison/photos");
photoDir.mkdirs();
String[][] photoSources = {
{"river", System.getProperty("finalComparison.photo.river")},
{"portrait", System.getProperty("finalComparison.photo.portrait")},
{"landscape", System.getProperty("finalComparison.photo.landscape")}
};
List<BufferedImage> realPhotos = newArrayList<>();
List<String> realNames = newArrayList<>();
for (String[] src : photoSources) {
StringconfiguredPath = src[1];
if (configuredPath == null || configuredPath.trim().isEmpty()) {
continue;
}
FilephotoFile = newFile(configuredPath);
if (!photoFile.exists()) {
System.out.println("Skipping configured photo '" + src[0] + "': file not found at " + configuredPath);
continue;
}
BufferedImagephoto = ImageIO.read(photoFile);
if (photo == null) {
System.out.println("Skipping configured photo '" + src[0] + "': unreadable image at " + configuredPath);
continue;
}
photo = resizeTo(photo, 128, 128);
realPhotos.add(photo);
realNames.add(src[0]);
ImageIO.write(photo, "png", newFile(photoDir, src[0] + ".png"));
}
if (realPhotos.isEmpty()) {
System.out.println(
"No real photos configured. Set system properties " +
"finalComparison.photo.river, finalComparison.photo.portrait, and/or " +
"finalComparison.photo.landscape to include external photo inputs."
);
}

Copilot · 2026-04-04T23:28:44Z

+
+ // JUnit test entry point
+ @org.junit.jupiter.api.Test
+ void runFinalComparison() throws Exception {


runFinalComparison() invokes main() and performs a large amount of CPU work plus filesystem writes. As a regular JUnit test, this is likely to be very slow and flaky in CI (and it has non-test side effects by writing into test-results/). Consider marking it @Disabled by default (or @Tag("benchmark") + exclude from CI), and/or gating execution behind an explicit system property/env var so it only runs when intentionally requested.
Suggested change
voidrunFinalComparison() throwsException {
voidrunFinalComparison() throwsException {
org.junit.jupiter.api.Assumptions.assumeTrue(
Boolean.getBoolean("runFinalComparison"),
"Skipping FinalComparisonTest by default. Run with -DrunFinalComparison=true to enable."
);

CopilotAI review requested due to automatic review settings April 4, 2026 23:23

Copilotstarted reviewing on behalf of VoX April 4, 2026 23:24 View session

CopilotAI reviewed Apr 4, 2026
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Final comparison: all 6 proposals combined - #8

Final comparison: all 6 proposals combined#8
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	worker.init(model.current, model.score);
	worker.init(model.current, model.getScore());

-doublex = t * (1 - 1.0 / (4 * df)) / Math.sqrt(1 + t * t / (2.0 * df));
-return1.0 - normalCDF(x);
- }
-privatestaticdoublenormalCDF(doublex) {
-if (x < -8) return0;
-if (x > 8) return1;
-doublet = 1.0 / (1.0 + 0.2316419 * Math.abs(x));
-doubled = 0.3989422804014327;
-doublep = d * Math.exp(-x * x / 2.0) *
- (t * (0.319381530 + t * (-0.356563782 + t * (1.781477937 + t * (-1.821255978 + t * 1.330274429)))));
-returnx > 0 ? 1.0 - p : p;
- }
+if (df <= 0) {
+thrownewIllegalArgumentException("Degrees of freedom must be positive");
+ }
+doublex = df / (df + t * t);
+return0.5 * regularizedBeta(x, df / 2.0, 0.5);
+ }
+privatestaticdoubleregularizedBeta(doublex, doublea, doubleb) {
+if (x <= 0.0) return0.0;
+if (x >= 1.0) return1.0;
+doublebt = Math.exp(
+logGamma(a + b) - logGamma(a) - logGamma(b)
+ + a * Math.log(x) + b * Math.log(1.0 - x)
+ );
+if (x < (a + 1.0) / (a + b + 2.0)) {
+returnbt * betaContinuedFraction(x, a, b) / a;
+ }
+return1.0 - bt * betaContinuedFraction(1.0 - x, b, a) / b;
+ }
+privatestaticdoublebetaContinuedFraction(doublex, doublea, doubleb) {
+finalintmaxIterations = 10000;
+finaldoubleepsilon = 3.0e-14;
+finaldoublefpMin = 1.0e-300;
+doubleqab = a + b;
+doubleqap = a + 1.0;
+doubleqam = a - 1.0;
+doublec = 1.0;
+doubled = 1.0 - qab * x / qap;
+if (Math.abs(d) < fpMin) d = fpMin;
+d = 1.0 / d;
+doubleh = d;
+for (intm = 1; m <= maxIterations; m++) {
+intm2 = 2 * m;
+doubleaa = m * (b - m) * x / ((qam + m2) * (a + m2));
+d = 1.0 + aa * d;
+if (Math.abs(d) < fpMin) d = fpMin;
+c = 1.0 + aa / c;
+if (Math.abs(c) < fpMin) c = fpMin;
+d = 1.0 / d;
+h *= d * c;
+aa = -(a + m) * (qab + m) * x / ((a + m2) * (qap + m2));
+d = 1.0 + aa * d;
+if (Math.abs(d) < fpMin) d = fpMin;
+c = 1.0 + aa / c;
+if (Math.abs(c) < fpMin) c = fpMin;
+d = 1.0 / d;
+doubledelta = d * c;
+h *= delta;
+if (Math.abs(delta - 1.0) < epsilon) {
+break;
+ }
+ }
+returnh;
+ }
+privatestaticdoublelogGamma(doublex) {
+double[] coefficients = {
+.5203681218851,
+ -1259.1392167224028,
+.3234287776531,
+ -176.6150291621406,
+.507343278686905,
+ -0.13857109526572012,
+.984369578019572e-6,
+.5056327351493116e-7
+ };
+if (x < 0.5) {
+returnMath.log(Math.PI) - Math.log(Math.sin(Math.PI * x)) - logGamma(1.0 - x);
+ }
+x -= 1.0;
+doublesum = 0.99999999999980993;
+for (inti = 0; i < coefficients.length; i++) {
+sum += coefficients[i] / (x + i + 1.0);
+ }
+doubletmp = x + coefficients.length - 0.5;
+return0.5 * Math.log(2.0 * Math.PI) + (x + 0.5) * Math.log(tmp) - tmp + Math.log(sum);
+ }

-// Real photos
-FilephotoDir = newFile("test-results/final-comparison/photos");
-photoDir.mkdirs();
-String[][] photoSources = {
- {"river", "/tmp/photo1.jpg"},
- {"portrait", "/tmp/photo2.jpg"},
- {"landscape", "/tmp/photo3.jpg"}
- };
-List<BufferedImage> realPhotos = newArrayList<>();
-List<String> realNames = newArrayList<>();
-for (String[] src : photoSources) {
-FilephotoFile = newFile(src[1]);
-if (photoFile.exists()) {
-BufferedImagephoto = ImageIO.read(photoFile);
-if (photo != null) {
-photo = resizeTo(photo, 128, 128);
-realPhotos.add(photo);
-realNames.add(src[0]);
-ImageIO.write(photo, "png", newFile(photoDir, src[0] + ".png"));
- }
- }
- }
+// Real photos (optional, configurable via system properties)
+FilephotoDir = newFile("test-results/final-comparison/photos");
+photoDir.mkdirs();
+String[][] photoSources = {
+ {"river", System.getProperty("finalComparison.photo.river")},
+ {"portrait", System.getProperty("finalComparison.photo.portrait")},
+ {"landscape", System.getProperty("finalComparison.photo.landscape")}
+ };
+List<BufferedImage> realPhotos = newArrayList<>();
+List<String> realNames = newArrayList<>();
+for (String[] src : photoSources) {
+StringconfiguredPath = src[1];
+if (configuredPath == null || configuredPath.trim().isEmpty()) {
+continue;
+ }
+FilephotoFile = newFile(configuredPath);
+if (!photoFile.exists()) {
+System.out.println("Skipping configured photo '" + src[0] + "': file not found at " + configuredPath);
+continue;
+ }
+BufferedImagephoto = ImageIO.read(photoFile);
+if (photo == null) {
+System.out.println("Skipping configured photo '" + src[0] + "': unreadable image at " + configuredPath);
+continue;
+ }
+photo = resizeTo(photo, 128, 128);
+realPhotos.add(photo);
+realNames.add(src[0]);
+ImageIO.write(photo, "png", newFile(photoDir, src[0] + ".png"));
+ }
+if (realPhotos.isEmpty()) {
+System.out.println(
+"No real photos configured. Set system properties " +
+"finalComparison.photo.river, finalComparison.photo.portrait, and/or " +
+"finalComparison.photo.landscape to include external photo inputs."
+ );
+ }

-voidrunFinalComparison() throwsException {
+voidrunFinalComparison() throwsException {
+org.junit.jupiter.api.Assumptions.assumeTrue(
+Boolean.getBoolean("runFinalComparison"),
+"Skipping FinalComparisonTest by default. Run with -DrunFinalComparison=true to enable."
+ );

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VoX commented Apr 4, 2026

Summary

Results

Proposals 1-5 (SA + error-guided + adaptive size + batch-parallel + TSP)

All 6 Proposals (with Progressive Resolution)

Key Findings

Test plan

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