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Fix FastRP propertyRatio dependancy for vector initialization (#9596)
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Fix FastRP initialization of property vector part.

New order of random initialization changes results. Choosing new seeds
to achieve target metrics.

Co-authored-by: Jacob Sznajdman <[email protected]>
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@orazve @breakanalysis
orazve and breakanalysis authored Sep 13, 2024
1 parent 17158cb commit c390320
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Showing 3 changed files with 15 additions and 13 deletions.
8 changes: 5 additions & 3 deletions algo/src/main/java/org/neo4j/gds/embeddings/fastrp/FastRP.java
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Original file line number Diff line number Diff line change
Expand Up @@ -140,11 +140,13 @@ public void initDegreePartition() {

void initPropertyVectors() {
int propertyDimension = embeddingDimension - baseEmbeddingDimension;
float entryValue = (float) Math.sqrt(SPARSITY) / (float) Math.sqrt(propertyDimension);
float entryValue = (float) Math.sqrt(SPARSITY) / (float) Math.sqrt(embeddingDimension);
var random = new HighQualityRandom(randomSeed);
for (int i = 0; i < inputDimension; i++) {
this.propertyVectors[i] = new float[propertyDimension];
for (int d = 0; d < propertyDimension; d++) {
}
for (int d = 0; d < propertyDimension; d++) {
for (int i = 0; i < inputDimension; i++) {
this.propertyVectors[i][d] = computeRandomEntry(random, entryValue);
}
}
Expand All @@ -153,7 +155,7 @@ void initPropertyVectors() {
void initRandomVectors() {
progressTracker.beginSubTask();

var sqrtEmbeddingDimension = (float) Math.sqrt(baseEmbeddingDimension);
var sqrtEmbeddingDimension = (float) Math.sqrt(embeddingDimension);
List<Runnable> tasks = PartitionUtils.rangePartition(
concurrency,
graph.nodeCount(),
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12 changes: 6 additions & 6 deletions algo/src/test/java/org/neo4j/gds/embeddings/fastrp/FastRPTest.java
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Original file line number Diff line number Diff line change
Expand Up @@ -314,9 +314,9 @@ void shouldInitialisePropertyEmbeddingsCorrectly() {
fastRP.initPropertyVectors();

// these asserted values were copied from the algorithm output. testing for stability.
var expectedProp1 = new float[]{0.0f, -0.21650635f, 0.0f, -0.21650635f, 0.21650635f, -0.21650635f, 0.0f, 0.0f, -0.21650635f, 0.21650635f, 0.0f, 0.21650635f, 0.21650635f, -0.21650635f, 0.0f, 0.0f, 0.0f, 0.0f, -0.21650635f, -0.21650635f, -0.21650635f, 0.0f, 0.0f, -0.21650635f, 0.0f, -0.21650635f, 0.21650635f, 0.0f, 0.21650635f, -0.21650635f, 0.0f, 0.0f, 0.21650635f, 0.0f, -0.21650635f, -0.21650635f, 0.0f, 0.0f, 0.0f, 0.0f, -0.21650635f, 0.0f, 0.0f, 0.21650635f, -0.21650635f, 0.21650635f, 0.0f, 0.0f, 0.0f, 0.21650635f, 0.0f, 0.0f, 0.0f, 0.0f, -0.21650635f, 0.0f, -0.21650635f, 0.0f, 0.21650635f, -0.21650635f, 0.0f, 0.0f, -0.21650635f, 0.0f};
var expectedProp2 = new float[]{0.21650635f, 0.0f, -0.21650635f, 0.0f, 0.0f, 0.0f, 0.0f, 0.21650635f, 0.0f, 0.0f, 0.0f, 0.21650635f, 0.0f, 0.0f, 0.0f, 0.0f, 0.21650635f, 0.0f, -0.21650635f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, -0.21650635f, 0.21650635f, 0.0f, 0.0f, -0.21650635f, 0.0f, 0.0f, 0.0f, 0.21650635f, -0.21650635f, -0.21650635f, 0.0f, 0.21650635f, -0.21650635f, 0.0f, 0.21650635f, 0.0f, 0.0f, 0.21650635f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, -0.21650635f, 0.21650635f, -0.21650635f, 0.0f, 0.0f, 0.0f, 0.0f};
var expectedProp3 = new float[]{0.21650635f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.21650635f, 0.21650635f, 0.21650635f, 0.0f, 0.21650635f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.21650635f, 0.21650635f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, -0.21650635f, -0.21650635f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, -0.21650635f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.21650635f, 0.0f, 0.0f};
var expectedProp1 = new float[]{0.0f, -0.15309311f, 0.0f, 0.15309311f, 0.15309311f, 0.0f, -0.15309311f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.15309311f, 0.0f, 0.0f, -0.15309311f, 0.0f, 0.0f, 0.0f, -0.15309311f, 0.0f, 0.0f, 0.15309311f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.15309311f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, -0.15309311f, 0.0f, 0.0f, 0.0f, 0.15309311f, 0.15309311f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, -0.15309311f, 0.0f, 0.0f, 0.0f, -0.15309311f, 0.0f, 0.15309311f};
var expectedProp2 = new float[]{-0.15309311f, 0.15309311f, 0.0f, 0.0f, -0.15309311f, 0.0f, -0.15309311f, 0.0f, -0.15309311f, 0.15309311f, 0.0f, -0.15309311f, 0.0f, -0.15309311f, 0.15309311f, 0.0f, 0.15309311f, 0.0f, 0.0f, 0.15309311f, 0.0f, 0.15309311f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, -0.15309311f, 0.0f, -0.15309311f, 0.0f, 0.0f, -0.15309311f, 0.15309311f, 0.15309311f, 0.15309311f, 0.0f, 0.0f, 0.0f, 0.0f, -0.15309311f, 0.0f, 0.0f, 0.0f, 0.0f, 0.15309311f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.15309311f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f};
var expectedProp3 = new float[]{0.0f, -0.15309311f, -0.15309311f, 0.15309311f, 0.0f, 0.0f, -0.15309311f, -0.15309311f, 0.15309311f, -0.15309311f, 0.15309311f, -0.15309311f, 0.0f, 0.0f, -0.15309311f, 0.0f, 0.0f, 0.0f, -0.15309311f, -0.15309311f, -0.15309311f, 0.0f, 0.0f, 0.15309311f, 0.0f, 0.0f, 0.15309311f, 0.0f, 0.0f, 0.15309311f, -0.15309311f, 0.0f, -0.15309311f, -0.15309311f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.15309311f, 0.0f, 0.15309311f, 0.0f, 0.15309311f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.15309311f, 0.0f, -0.15309311f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f};

assertArrayEquals(expectedProp1, fastRP.propertyVectors()[0]);
assertArrayEquals(expectedProp2, fastRP.propertyVectors()[1]);
Expand All @@ -327,9 +327,9 @@ void shouldInitialisePropertyEmbeddingsCorrectly() {
// these were obtained by computing a matrix product P * V where
// P is the propertyDimension x inputDimension matrix with expected propertyVectors as columns
// V is the inputDimension x nodeCount matrix of property values in the graph
var initialPropComponentOfNodeVector1 = new float[]{0.584567145f, -0.08660254f, -0.281458255f, -0.08660254f, 0.08660254f, -0.08660254f, 0.30310888999999996f, 0.584567145f, 0.21650634999999996f, 0.08660254f, 0.30310888999999996f, 0.368060795f, 0.08660254f, -0.08660254f, 0.0f, 0.0f, 0.281458255f, 0.0f, -0.368060795f, -0.08660254f, -0.08660254f, 0.0f, 0.0f, -0.08660254f, -0.281458255f, 0.19485571499999998f, 0.08660254f, 0.0f, -0.19485571499999998f, -0.08660254f, 0.0f, 0.0f, 0.368060795f, -0.281458255f, -0.368060795f, 0.21650634999999996f, 0.584567145f, -0.281458255f, 0.0f, 0.281458255f, -0.08660254f, 0.0f, -0.02165063499999997f, -0.21650634999999996f, -0.08660254f, 0.08660254f, 0.0f, 0.0f, 0.0f, 0.08660254f, 0.0f, 0.0f, 0.0f, 0.0f, -0.08660254f, -0.30310888999999996f, -0.08660254f, -0.281458255f, 0.368060795f, -0.368060795f, 0.0f, 0.30310888999999996f, -0.08660254f, 0.0f};
var initialPropComponentOfNodeVector2 = new float[]{0.497964605f, -0.454663335f, -0.108253175f, -0.454663335f, 0.454663335f, -0.454663335f, 0.38971142999999997f, 0.497964605f, -0.06495190500000002f, 0.454663335f, 0.38971142999999997f, 0.56291651f, 0.454663335f, -0.454663335f, 0.0f, 0.0f, 0.108253175f, 0.0f, -0.56291651f, -0.454663335f, -0.454663335f, 0.0f, 0.0f, -0.454663335f, -0.108253175f, -0.34641016f, 0.454663335f, 0.0f, 0.34641016f, -0.454663335f, 0.0f, 0.0f, 0.56291651f, -0.108253175f, -0.56291651f, -0.06495190500000002f, 0.497964605f, -0.108253175f, 0.0f, 0.108253175f, -0.454663335f, 0.0f, -0.281458255f, 0.06495190500000002f, -0.454663335f, 0.454663335f, 0.0f, 0.0f, 0.0f, 0.454663335f, 0.0f, 0.0f, 0.0f, 0.0f, -0.454663335f, -0.38971142999999997f, -0.454663335f, -0.108253175f, 0.56291651f, -0.56291651f, 0.0f, 0.38971142999999997f, -0.454663335f, 0.0f};
var initialPropComponentOfNodeVector3 = new float[]{0.7794228599999999f, 0.06495190499999999f, -0.17320508f, 0.06495190499999999f, -0.06495190499999999f, 0.06495190499999999f, 0.6062177799999999f, 0.7794228599999999f, 0.671169685f, -0.06495190499999999f, 0.6062177799999999f, 0.10825317500000001f, -0.06495190499999999f, 0.06495190499999999f, 0.0f, 0.0f, 0.17320508f, 0.0f, -0.10825317500000001f, 0.06495190499999999f, 0.06495190499999999f, 0.0f, 0.0f, 0.06495190499999999f, -0.17320508f, 0.238156985f, -0.06495190499999999f, 0.0f, -0.238156985f, 0.06495190499999999f, 0.0f, 0.0f, 0.10825317500000001f, -0.17320508f, -0.10825317500000001f, 0.671169685f, 0.7794228599999999f, -0.17320508f, 0.0f, 0.17320508f, 0.06495190499999999f, 0.0f, -0.4330126999999999f, -0.671169685f, 0.06495190499999999f, -0.06495190499999999f, 0.0f, 0.0f, 0.0f, -0.06495190499999999f, 0.0f, 0.0f, 0.0f, 0.0f, 0.06495190499999999f, -0.6062177799999999f, 0.06495190499999999f, -0.17320508f, 0.10825317500000001f, -0.10825317500000001f, 0.0f, 0.6062177799999999f, 0.06495190499999999f, 0.0f};
var initialPropComponentOfNodeVector1 = new float[]{-0.19902104f, -0.076546565f, -0.21433036f, 0.2755676f, -0.1377838f, 0.0f, -0.47458863f, -0.21433036f, 0.015309319f, -0.015309319f, 0.21433036f, -0.41335142f, 0.0f, -0.19902104f, -0.015309319f, 0.061237246f, 0.19902104f, 0.0f, -0.2755676f, -0.015309319f, -0.21433036f, 0.19902104f, -0.061237246f, 0.21433036f, 0.0f, 0.061237246f, 0.21433036f, -0.19902104f, 0.0f, 0.015309319f, -0.21433036f, 0.0f, -0.35211414f, -0.015309319f, 0.19902104f, 0.19902104f, 0.0f, 0.0f, 0.0f, 0.0f, 0.015309319f, -0.061237246f, 0.21433036f, 0.0f, 0.21433036f, 0.2602583f, 0.061237246f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.41335142f, 0.0f, -0.21433036f, -0.061237246f, 0.0f, 0.0f, 0.0f, -0.061237246f, 0.0f, 0.061237246f};
var initialPropComponentOfNodeVector2 = new float[]{-0.07654656f, -0.5205166f, -0.2755676f, 0.5970631f, 0.24494898f, 0.0f, -0.6736097f, -0.2755676f, 0.19902104f, -0.19902104f, 0.2755676f, -0.35211414f, 0.0f, -0.07654656f, -0.19902104f, 0.32149553f, 0.07654656f, 0.0f, -0.5970631f, -0.19902104f, -0.2755676f, 0.07654656f, -0.32149553f, 0.2755676f, 0.0f, 0.32149553f, 0.2755676f, -0.07654656f, 0.0f, 0.19902104f, -0.2755676f, 0.0f, -0.030618608f, -0.19902104f, 0.07654656f, 0.07654656f, 0.0f, 0.0f, 0.0f, 0.0f, 0.19902104f, -0.32149553f, 0.2755676f, 0.0f, 0.2755676f, 0.39804208f, 0.32149553f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.35211414f, 0.0f, -0.2755676f, -0.32149553f, 0.0f, 0.0f, 0.0f, -0.32149553f, 0.0f, 0.32149553f};
var initialPropComponentOfNodeVector3 = new float[]{-0.12247449f, -0.2602583f, -0.42866072f, 0.38273278f, -0.16840243f, 0.0f, -0.5052073f, -0.42866072f, 0.30618623f, -0.30618623f, 0.42866072f, -0.5511352f, 0.0f, -0.12247449f, -0.30618623f, -0.045927934f, 0.12247449f, 0.0f, -0.38273278f, -0.30618623f, -0.42866072f, 0.12247449f, 0.045927934f, 0.42866072f, 0.0f, -0.045927934f, 0.42866072f, -0.12247449f, 0.0f, 0.30618623f, -0.42866072f, 0.0f, -0.5970632f, -0.30618623f, 0.12247449f, 0.12247449f, 0.0f, 0.0f, 0.0f, 0.0f, 0.30618623f, 0.045927934f, 0.42866072f, 0.0f, 0.42866072f, 0.07654656f, -0.045927934f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.5511352f, 0.0f, -0.42866072f, 0.045927934f, 0.0f, 0.0f, 0.0f, 0.045927934f, 0.0f, -0.045927934f};

assertThat(initialPropComponentOfNodeVector1)
.contains(
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8 changes: 4 additions & 4 deletions ...ddings/src/integrationTest/java/org/neo4j/gds/embeddings/fastrp/FastRPMutateProcTest.java
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Original file line number Diff line number Diff line change
Expand Up @@ -168,13 +168,13 @@ void shouldProduceEmbeddingsWithSpecificValues(SoftAssertions softly) {
"MATCH (n) WHERE n:Node OR n:Node2 RETURN gds.util.nodeProperty('%s', id(n), 'embedding') as embedding, n.name as node",
"g2labels"
);
var expectedEmbeddings = Map.of(
var expectedEmbeddings = Map.of(
"a",
new float[]{-0.07246187f, -0.20042537f, -0.07246187f, 0.0f, -0.1279635f, 0.07246187f, 0.055501625f, -0.016960248f, -0.07246187f, 0.0f, 0.14492375f, 0.1279635f, 0.07246187f, 0.0f, 0.0f, 0.0f, 0.07246187f, 0.0f, 0.0f, -0.1279635f, 0.07246187f, -0.07246187f, 0.0f, 0.07246187f, -0.1279635f, 0.0f, 0.20042537f, 0.14492375f, 0.0f, -0.1279635f, -0.1279635f, 0.20042537f, 0.0f, 0.055501625f, -0.07246187f, 0.0f, -0.07246187f, -0.055501625f, 0.07246187f, 0.0f, -0.055501625f, 0.1279635f, 0.07246187f, 0.055501625f, 0.07246187f, 0.0f, 0.07246187f, -0.07246187f, 0.1279635f, -0.07246187f, -0.07246187f, 0.0f, -0.07246187f, 0.0f, -0.055501625f, 0.27288723f, 0.1279635f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, -0.07246187f, 0.0f, 0.20258348f, -0.20335533f, -0.20258348f, -0.20335533f, 0.20335533f, -0.20335533f, 0.0f, 0.20258348f, -0.20335533f, 0.20335533f, 0.0f, 0.4059388f, 0.20335533f, -0.20335533f, 0.0f, 0.0f, 0.20258348f, 0.0f, -0.4059388f, -0.20335533f, -0.20335533f, 0.0f, 0.0f, -0.20335533f, -0.20258348f, -7.7185035E-4f, 0.20335533f, 0.0f, 7.7185035E-4f, -0.20335533f, 0.0f, 0.0f, 0.4059388f, -0.20258348f, -0.4059388f, -0.20335533f, 0.20258348f, -0.20258348f, 0.0f, 0.20258348f, -0.20335533f, 0.0f, 0.20258348f, 0.20335533f, -0.20335533f, 0.20335533f, 0.0f, 0.0f, 0.0f, 0.20335533f, 0.0f, 0.0f, 0.0f, 0.0f, -0.20335533f, 0.0f, -0.20335533f, -0.20258348f, 0.4059388f, -0.4059388f, 0.0f, 0.0f, -0.20335533f, 0.0f},
new float[]{-0.08203061f, -0.21722749f, -0.08203061f, 0.0f, -0.13519688f, 0.08203061f, 0.05316627f, -0.028864339f, -0.08203061f, 0.0f, 0.16406122f, 0.13519688f, 0.08203061f, 0.0f, 0.0f, 0.0f, 0.08203061f, 0.0f, 0.0f, -0.13519688f, 0.08203061f, -0.08203061f, 0.0f, 0.08203061f, -0.13519688f, 0.0f, 0.21722749f, 0.16406122f, 0.0f, -0.13519688f, -0.13519688f, 0.21722749f, 0.0f, 0.05316627f, -0.08203061f, 0.0f, -0.08203061f, -0.05316627f, 0.08203061f, 0.0f, -0.05316627f, 0.13519688f, 0.08203061f, 0.05316627f, 0.08203061f, 0.0f, 0.08203061f, -0.08203061f, 0.13519688f, -0.08203061f, -0.08203061f, 0.0f, -0.08203061f, 0.0f, -0.05316627f, 0.2992581f, 0.13519688f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, -0.08203061f, 0.0f, -0.21677125f, -0.21677125f, 0.009571791f, 0.0f, -0.009571791f, 0.21677125f, 0.009571791f, 0.0f, 0.0f, -0.44311428f, -0.22634304f, -0.21677125f, -0.21677125f, 0.22634304f, 0.009571791f, 0.0f, 0.22634304f, -0.44311428f, 0.0f, 0.0f, -0.22634304f, 0.21677125f, -0.009571791f, 0.0f, 0.21677125f, 0.0f, 0.0f, -0.22634304f, -0.22634304f, 0.009571791f, 0.0f, -0.22634304f, 0.22634304f, -0.22634304f, 0.0f, 0.21677125f, 0.0f, 0.21677125f, 0.0f, 0.0f, 0.22634304f, -0.22634304f, 0.0f, 0.0f, -0.009571791f, 0.0f, -0.22634304f, 0.0f, 0.009571791f, -0.22634304f, 0.009571791f, 0.21677125f, 0.0f, 0.22634304f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, -0.21677125f, 0.009571791f, 0.0f, 0.0f},
"b",
new float[]{-0.07246187f, -0.20042537f, -0.07246187f, 0.0f, -0.1279635f, 0.07246187f, 0.055501625f, -0.016960248f, -0.07246187f, 0.0f, 0.14492375f, 0.1279635f, 0.07246187f, 0.0f, 0.0f, 0.0f, 0.07246187f, 0.0f, 0.0f, -0.1279635f, 0.07246187f, -0.07246187f, 0.0f, 0.07246187f, -0.1279635f, 0.0f, 0.20042537f, 0.14492375f, 0.0f, -0.1279635f, -0.1279635f, 0.20042537f, 0.0f, 0.055501625f, -0.07246187f, 0.0f, -0.07246187f, -0.055501625f, 0.07246187f, 0.0f, -0.055501625f, 0.1279635f, 0.07246187f, 0.055501625f, 0.07246187f, 0.0f, 0.07246187f, -0.07246187f, 0.1279635f, -0.07246187f, -0.07246187f, 0.0f, -0.07246187f, 0.0f, -0.055501625f, 0.27288723f, 0.1279635f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, -0.07246187f, 0.0f, 0.20258348f, -0.20335533f, -0.20258348f, -0.20335533f, 0.20335533f, -0.20335533f, 0.0f, 0.20258348f, -0.20335533f, 0.20335533f, 0.0f, 0.4059388f, 0.20335533f, -0.20335533f, 0.0f, 0.0f, 0.20258348f, 0.0f, -0.4059388f, -0.20335533f, -0.20335533f, 0.0f, 0.0f, -0.20335533f, -0.20258348f, -7.7185035E-4f, 0.20335533f, 0.0f, 7.7185035E-4f, -0.20335533f, 0.0f, 0.0f, 0.4059388f, -0.20258348f, -0.4059388f, -0.20335533f, 0.20258348f, -0.20258348f, 0.0f, 0.20258348f, -0.20335533f, 0.0f, 0.20258348f, 0.20335533f, -0.20335533f, 0.20335533f, 0.0f, 0.0f, 0.0f, 0.20335533f, 0.0f, 0.0f, 0.0f, 0.0f, -0.20335533f, 0.0f, -0.20335533f, -0.20258348f, 0.4059388f, -0.4059388f, 0.0f, 0.0f, -0.20335533f, 0.0f},
new float[]{-0.08203061f, -0.21722749f, -0.08203061f, 0.0f, -0.13519688f, 0.08203061f, 0.05316627f, -0.028864339f, -0.08203061f, 0.0f, 0.16406122f, 0.13519688f, 0.08203061f, 0.0f, 0.0f, 0.0f, 0.08203061f, 0.0f, 0.0f, -0.13519688f, 0.08203061f, -0.08203061f, 0.0f, 0.08203061f, -0.13519688f, 0.0f, 0.21722749f, 0.16406122f, 0.0f, -0.13519688f, -0.13519688f, 0.21722749f, 0.0f, 0.05316627f, -0.08203061f, 0.0f, -0.08203061f, -0.05316627f, 0.08203061f, 0.0f, -0.05316627f, 0.13519688f, 0.08203061f, 0.05316627f, 0.08203061f, 0.0f, 0.08203061f, -0.08203061f, 0.13519688f, -0.08203061f, -0.08203061f, 0.0f, -0.08203061f, 0.0f, -0.05316627f, 0.2992581f, 0.13519688f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, -0.08203061f, 0.0f, -0.21677125f, -0.21677125f, 0.009571791f, 0.0f, -0.009571791f, 0.21677125f, 0.009571791f, 0.0f, 0.0f, -0.44311428f, -0.22634304f, -0.21677125f, -0.21677125f, 0.22634304f, 0.009571791f, 0.0f, 0.22634304f, -0.44311428f, 0.0f, 0.0f, -0.22634304f, 0.21677125f, -0.009571791f, 0.0f, 0.21677125f, 0.0f, 0.0f, -0.22634304f, -0.22634304f, 0.009571791f, 0.0f, -0.22634304f, 0.22634304f, -0.22634304f, 0.0f, 0.21677125f, 0.0f, 0.21677125f, 0.0f, 0.0f, 0.22634304f, -0.22634304f, 0.0f, 0.0f, -0.009571791f, 0.0f, -0.22634304f, 0.0f, 0.009571791f, -0.22634304f, 0.009571791f, 0.21677125f, 0.0f, 0.22634304f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, -0.21677125f, 0.009571791f, 0.0f, 0.0f},
"e",
new float[]{-0.07246187f, -0.20042537f, -0.07246187f, 0.0f, -0.1279635f, 0.07246187f, 0.055501625f, -0.016960248f, -0.07246187f, 0.0f, 0.14492375f, 0.1279635f, 0.07246187f, 0.0f, 0.0f, 0.0f, 0.07246187f, 0.0f, 0.0f, -0.1279635f, 0.07246187f, -0.07246187f, 0.0f, 0.07246187f, -0.1279635f, 0.0f, 0.20042537f, 0.14492375f, 0.0f, -0.1279635f, -0.1279635f, 0.20042537f, 0.0f, 0.055501625f, -0.07246187f, 0.0f, -0.07246187f, -0.055501625f, 0.07246187f, 0.0f, -0.055501625f, 0.1279635f, 0.07246187f, 0.055501625f, 0.07246187f, 0.0f, 0.07246187f, -0.07246187f, 0.1279635f, -0.07246187f, -0.07246187f, 0.0f, -0.07246187f, 0.0f, -0.055501625f, 0.27288723f, 0.1279635f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, -0.07246187f, 0.0f, 0.20258348f, -0.20335533f, -0.20258348f, -0.20335533f, 0.20335533f, -0.20335533f, 0.0f, 0.20258348f, -0.20335533f, 0.20335533f, 0.0f, 0.4059388f, 0.20335533f, -0.20335533f, 0.0f, 0.0f, 0.20258348f, 0.0f, -0.4059388f, -0.20335533f, -0.20335533f, 0.0f, 0.0f, -0.20335533f, -0.20258348f, -7.7185035E-4f, 0.20335533f, 0.0f, 7.7185035E-4f, -0.20335533f, 0.0f, 0.0f, 0.4059388f, -0.20258348f, -0.4059388f, -0.20335533f, 0.20258348f, -0.20258348f, 0.0f, 0.20258348f, -0.20335533f, 0.0f, 0.20258348f, 0.20335533f, -0.20335533f, 0.20335533f, 0.0f, 0.0f, 0.0f, 0.20335533f, 0.0f, 0.0f, 0.0f, 0.0f, -0.20335533f, 0.0f, -0.20335533f, -0.20258348f, 0.4059388f, -0.4059388f, 0.0f, 0.0f, -0.20335533f, 0.0f}
new float[]{-0.08203061f, -0.21722749f, -0.08203061f, 0.0f, -0.13519688f, 0.08203061f, 0.05316627f, -0.028864339f, -0.08203061f, 0.0f, 0.16406122f, 0.13519688f, 0.08203061f, 0.0f, 0.0f, 0.0f, 0.08203061f, 0.0f, 0.0f, -0.13519688f, 0.08203061f, -0.08203061f, 0.0f, 0.08203061f, -0.13519688f, 0.0f, 0.21722749f, 0.16406122f, 0.0f, -0.13519688f, -0.13519688f, 0.21722749f, 0.0f, 0.05316627f, -0.08203061f, 0.0f, -0.08203061f, -0.05316627f, 0.08203061f, 0.0f, -0.05316627f, 0.13519688f, 0.08203061f, 0.05316627f, 0.08203061f, 0.0f, 0.08203061f, -0.08203061f, 0.13519688f, -0.08203061f, -0.08203061f, 0.0f, -0.08203061f, 0.0f, -0.05316627f, 0.2992581f, 0.13519688f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, -0.08203061f, 0.0f, -0.21677125f, -0.21677125f, 0.009571791f, 0.0f, -0.009571791f, 0.21677125f, 0.009571791f, 0.0f, 0.0f, -0.44311428f, -0.22634304f, -0.21677125f, -0.21677125f, 0.22634304f, 0.009571791f, 0.0f, 0.22634304f, -0.44311428f, 0.0f, 0.0f, -0.22634304f, 0.21677125f, -0.009571791f, 0.0f, 0.21677125f, 0.0f, 0.0f, -0.22634304f, -0.22634304f, 0.009571791f, 0.0f, -0.22634304f, 0.22634304f, -0.22634304f, 0.0f, 0.21677125f, 0.0f, 0.21677125f, 0.0f, 0.0f, 0.22634304f, -0.22634304f, 0.0f, 0.0f, -0.009571791f, 0.0f, -0.22634304f, 0.0f, 0.009571791f, -0.22634304f, 0.009571791f, 0.21677125f, 0.0f, 0.22634304f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, -0.21677125f, 0.009571791f, 0.0f, 0.0f}
);

runQueryWithRowConsumer(expectedResultQuery, row -> {
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