collect(Collectors.toList()) -> toList()

7 files changed, 11 insertions, 11 deletions

diff --git a/vespajlib/src/main/java/com/yahoo/tensor/TensorType.java b/vespajlib/src/main/java/com/yahoo/tensor/TensorType.java
index dfbcb06c365..36693280183 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/TensorType.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/TensorType.java
@@ -100,7 +100,7 @@ public class TensorType {
         else if (dimensionList.stream().noneMatch(d -> d.isIndexed()))
             mappedSubtype = this;
         else
-            mappedSubtype = new TensorType(valueType, dimensions.stream().filter(d -> ! d.isIndexed()).collect(Collectors.toList()));
+            mappedSubtype = new TensorType(valueType, dimensions.stream().filter(d -> ! d.isIndexed()).toList());
     }
 
     static public Value combinedValueType(TensorType ... types) {
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/Diag.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/Diag.java
index 7218375de89..2aee7baa0cc 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/Diag.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/Diag.java
@@ -23,7 +23,7 @@ public class Diag<NAMETYPE extends Name> extends CompositeTensorFunction<NAMETYP
 
     public Diag(TensorType type) {
         this.type = type;
-        this.diagFunction = ScalarFunctions.equal(dimensionNames().collect(Collectors.toList()));
+        this.diagFunction = ScalarFunctions.equal(dimensionNames().toList());
     }
 
     @Override
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/Range.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/Range.java
index 7053eeb0a1c..ae65dc929bd 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/Range.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/Range.java
@@ -24,7 +24,7 @@ public class Range<NAMETYPE extends Name> extends CompositeTensorFunction<NAMETY
 
     public Range(TensorType type) {
         this.type = type;
-        this.rangeFunction = ScalarFunctions.sum(dimensionNames().collect(Collectors.toList()));
+        this.rangeFunction = ScalarFunctions.sum(dimensionNames().toList());
     }
 
     @Override
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/ReduceJoin.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/ReduceJoin.java
index 1048e5ab10e..95987d9b886 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/ReduceJoin.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/ReduceJoin.java
@@ -294,7 +294,7 @@ public class ReduceJoin<NAMETYPE extends Name> extends CompositeTensorFunction<N
         if (reducingDimensions.isEmpty()) {
             reducingDimensions = dimensionsInCommon((IndexedTensor)a, (IndexedTensor)b).dimensions().stream()
                     .map(TensorType.Dimension::name)
-                    .collect(Collectors.toList());
+                    .toList();
         }
         if (reducingDimensions.size() != 1) {
             return false;
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/Slice.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/Slice.java
index 39bddc3a3cd..a9a6df6ed4d 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/Slice.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/Slice.java
@@ -116,7 +116,7 @@ public class Slice<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMETY
     }
 
     private List<String> findDimensions(List<TensorType.Dimension> dims, Predicate<TensorType.Dimension> pred) {
-        return dims.stream().filter(pred).map(TensorType.Dimension::name).collect(Collectors.toList());
+        return dims.stream().filter(pred).map(TensorType.Dimension::name).toList();
     }
 
     private TensorType resultType(TensorType argumentType) {
@@ -138,7 +138,7 @@ public class Slice<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMETY
             }
         }
         else { // general slicing
-            peekDimensions = subspaceAddress.stream().map(d -> d.dimension().get()).collect(Collectors.toList());
+            peekDimensions = subspaceAddress.stream().map(d -> d.dimension().get()).toList();
         }
         try {
             return TypeResolver.peek(argumentType, peekDimensions);
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/serialization/JsonFormat.java b/vespajlib/src/main/java/com/yahoo/tensor/serialization/JsonFormat.java
index b683519988c..a7afc1efc6d 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/serialization/JsonFormat.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/serialization/JsonFormat.java
@@ -124,7 +124,7 @@ public class JsonFormat {
 
     private static void encodeBlocks(MixedTensor tensor, Cursor cursor) {
         var mappedDimensions = tensor.type().dimensions().stream().filter(d -> d.isMapped())
-                .map(d -> TensorType.Dimension.mapped(d.name())).collect(Collectors.toList());
+                .map(d -> TensorType.Dimension.mapped(d.name())).toList();
         if (mappedDimensions.size() < 1) {
             throw new IllegalArgumentException("Should be ensured by caller");
         }
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/serialization/MixedBinaryFormat.java b/vespajlib/src/main/java/com/yahoo/tensor/serialization/MixedBinaryFormat.java
index 2a55ac658b1..c18e9f179d6 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/serialization/MixedBinaryFormat.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/serialization/MixedBinaryFormat.java
@@ -43,7 +43,7 @@ class MixedBinaryFormat implements BinaryFormat {
     }
 
     private void encodeSparseDimensions(GrowableByteBuffer buffer, MixedTensor tensor) {
-        List<TensorType.Dimension> sparseDimensions = tensor.type().dimensions().stream().filter(d -> !d.isIndexed()).collect(Collectors.toList());
+        List<TensorType.Dimension> sparseDimensions = tensor.type().dimensions().stream().filter(d -> !d.isIndexed()).toList();
         buffer.putInt1_4Bytes(sparseDimensions.size());
         for (TensorType.Dimension dimension : sparseDimensions) {
             buffer.putUtf8String(dimension.name());
@@ -51,7 +51,7 @@ class MixedBinaryFormat implements BinaryFormat {
     }
 
     private void encodeDenseDimensions(GrowableByteBuffer buffer, MixedTensor tensor) {
-        List<TensorType.Dimension> denseDimensions = tensor.type().dimensions().stream().filter(d -> d.isIndexed()).collect(Collectors.toList());
+        List<TensorType.Dimension> denseDimensions = tensor.type().dimensions().stream().filter(d -> d.isIndexed()).toList();
         buffer.putInt1_4Bytes(denseDimensions.size());
         for (TensorType.Dimension dimension : denseDimensions) {
             buffer.putUtf8String(dimension.name());
@@ -71,7 +71,7 @@ class MixedBinaryFormat implements BinaryFormat {
     }
 
     private void encodeCells(GrowableByteBuffer buffer, MixedTensor tensor, Consumer<Double> consumer) {
-        List<TensorType.Dimension> sparseDimensions = tensor.type().dimensions().stream().filter(d -> !d.isIndexed()).collect(Collectors.toList());
+        List<TensorType.Dimension> sparseDimensions = tensor.type().dimensions().stream().filter(d -> !d.isIndexed()).toList();
         long denseSubspaceSize = tensor.denseSubspaceSize();
         if (sparseDimensions.size() > 0) {
             buffer.putInt1_4Bytes((int)(tensor.size() / denseSubspaceSize));  // XXX: Size truncation
@@ -137,7 +137,7 @@ class MixedBinaryFormat implements BinaryFormat {
     }
 
     private void decodeCells(GrowableByteBuffer buffer, MixedTensor.BoundBuilder builder, TensorType type, Supplier<Double> supplier) {
-        List<TensorType.Dimension> sparseDimensions = type.dimensions().stream().filter(d -> !d.isIndexed()).collect(Collectors.toList());
+        List<TensorType.Dimension> sparseDimensions = type.dimensions().stream().filter(d -> !d.isIndexed()).toList();
         TensorType sparseType = MixedTensor.createPartialType(type.valueType(), sparseDimensions);
         long denseSubspaceSize = builder.denseSubspaceSize();