Remove test-only factories with defaults

Co-Authored-By: Veselin Nikolov <veselin.nikolov@neo4j.com>

Author: jjaderberg

algo/src/main/java/org/neo4j/gds/embeddings/node2vec/Node2Vec.java

@@ -62,36 +62,6 @@ public static MemoryEstimation memoryEstimation(int walksPerNode, int walkLength
             .build();
     }
 
-    static Node2Vec create(
-        Graph graph,
-        int concurrency,
-        WalkParameters walkParameters,
-        TrainParameters trainParameters,
-        ProgressTracker progressTracker
-    ) {
-        return create(graph, concurrency, Optional.empty(), walkParameters, trainParameters, progressTracker);
-    }
-
-    static Node2Vec create(
-        Graph graph,
-        int concurrency,
-        Optional<Long> maybeRandomSeed,
-        WalkParameters walkParameters,
-        TrainParameters trainParameters,
-        ProgressTracker progressTracker
-    ) {
-        return new Node2Vec(
-            graph,
-            concurrency,
-            List.of(),
-            maybeRandomSeed,
-            1000,
-            walkParameters,
-            trainParameters,
-            progressTracker
-        );
-    }
-
     public Node2Vec(
         Graph graph,
         int concurrency,

algo/src/test/java/org/neo4j/gds/embeddings/node2vec/Node2VecTest.java

@@ -71,6 +71,9 @@
 @ExtendWith(SoftAssertionsExtension.class)
 class Node2VecTest extends BaseTest {
 
+    private static final List<Long> NO_SOURCE_NODES = List.of();
+    private static final Optional<Long> NO_RANDOM_SEED = Optional.empty();
+
     private static final String DB_CYPHER =
         "CREATE" +
         "  (a:Node1)" +
@@ -109,9 +112,12 @@ void embeddingsShouldHaveTheConfiguredDimension(String msg, Iterable<String> nod
             embeddingDimension,
             EmbeddingInitializer.NORMALIZED
         );
-        HugeObjectArray<FloatVector> node2Vec = Node2Vec.create(
+        HugeObjectArray<FloatVector> node2Vec = new Node2Vec(
             graph,
             4,
+            NO_SOURCE_NODES,
+            NO_RANDOM_SEED,
+            1000,
             new WalkParameters(10, 80, 1.0, 1.0, 0.001, 0.75),
             trainParameters,
             ProgressTracker.NULL_TRACKER
@@ -156,10 +162,12 @@ void shouldLogProgress(boolean relationshipWeights, int expectedProgresses) {
         );
         var log = Neo4jProxy.testLog();
         var progressTracker = new TestProgressTracker(progressTask, log, 4, EmptyTaskRegistryFactory.INSTANCE);
-        Node2Vec.create(
+        new Node2Vec(
             graph,
             4,
-            Optional.empty(),
+            NO_SOURCE_NODES,
+            NO_RANDOM_SEED,
+            1000,
             walkParameters,
             trainParameters,
             progressTracker
@@ -223,9 +231,12 @@ void failOnNegativeWeights() {
         var walkParameters = new WalkParameters(10, 80, 1.0, 1.0, 0.001, 0.75);
         var trainParameters = new TrainParameters(0.025, 0.0001, 1, 1, 1, 128, EmbeddingInitializer.NORMALIZED);
 
-        var node2Vec = Node2Vec.create(
+        var node2Vec = new Node2Vec(
             graph,
             4,
+            NO_SOURCE_NODES,
+            NO_RANDOM_SEED,
+            1000,
             walkParameters,
             trainParameters,
             ProgressTracker.NULL_TRACKER
@@ -248,19 +259,23 @@ void randomSeed(SoftAssertions softly) {
         var walkParameters = new WalkParameters(1, 20, 1.0, 1.0,  0.001, 0.75);
         var trainParameters = new TrainParameters(0.025, 0.0001, 1, 1, 1, embeddingDimension, EmbeddingInitializer.NORMALIZED);
 
-        var embeddings = Node2Vec.create(
+        var embeddings = new Node2Vec(
             graph,
             4,
+            NO_SOURCE_NODES,
             Optional.of(1337L),
+            1000,
             walkParameters,
             trainParameters,
             ProgressTracker.NULL_TRACKER
             ).compute().embeddings();
 
-        var otherEmbeddings = Node2Vec.create(
+        var otherEmbeddings = new Node2Vec(
             graph,
             4,
+            NO_SOURCE_NODES,
             Optional.of(1337L),
+            1000,
             walkParameters,
             trainParameters,
             ProgressTracker.NULL_TRACKER
@@ -348,19 +363,23 @@ void shouldBeFairlyConsistentUnderOriginalIds(EmbeddingInitializer embeddingInit
         var walkParameters = new WalkParameters(10, 80, 1.0, 1.0, 0.01, 0.75);
         var trainParameters = new TrainParameters(0.025, 0.0001, 1, 10, 5, embeddingDimension, embeddingInitializer);
 
-        var firstEmbeddings = Node2Vec.create(
+        var firstEmbeddings = new Node2Vec(
             firstGraph,
             4,
+            NO_SOURCE_NODES,
             Optional.of(1337L),
+            1000,
             walkParameters,
             trainParameters,
             ProgressTracker.NULL_TRACKER
             ).compute().embeddings();
 
-        var secondEmbeddings = Node2Vec.create(
+        var secondEmbeddings = new Node2Vec(
             secondGraph,
             4,
+            NO_SOURCE_NODES,
             Optional.of(1337L),
+            1000,
             walkParameters,
             trainParameters,
             ProgressTracker.NULL_TRACKER