Reduce the simple usage of guava where java has caught up

13 files changed, 49 insertions, 91 deletions

diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/Argmax.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/Argmax.java
index d2762ad762d..2ee3d7dab60 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/Argmax.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/Argmax.java
@@ -1,10 +1,8 @@
 // Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
 package com.yahoo.tensor.functions;
 
-import com.google.common.collect.ImmutableList;
 import com.yahoo.tensor.evaluation.Name;
 
-import java.util.Collections;
 import java.util.List;
 import java.util.Objects;
 
@@ -17,21 +15,21 @@ public class Argmax<NAMETYPE extends Name> extends CompositeTensorFunction<NAMET
     private final List<String> dimensions;
 
     public Argmax(TensorFunction<NAMETYPE> argument) {
-        this(argument, Collections.emptyList());
+        this(argument, List.of());
     }
 
     public Argmax(TensorFunction<NAMETYPE> argument, String dimension) {
-        this(argument, Collections.singletonList(dimension));
+        this(argument, List.of(dimension));
     }
 
     public Argmax(TensorFunction<NAMETYPE> argument, List<String> dimensions) {
         Objects.requireNonNull(dimensions, "The dimensions cannot be null");
         this.argument = argument;
-        this.dimensions = ImmutableList.copyOf(dimensions);
+        this.dimensions = List.copyOf(dimensions);
     }
 
     @Override
-    public List<TensorFunction<NAMETYPE>> arguments() { return Collections.singletonList(argument); }
+    public List<TensorFunction<NAMETYPE>> arguments() { return List.of(argument); }
 
     @Override
     public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments) {
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/Argmin.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/Argmin.java
index baedf41bcb8..a1e30c419e3 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/Argmin.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/Argmin.java
@@ -1,10 +1,8 @@
 // Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
 package com.yahoo.tensor.functions;
 
-import com.google.common.collect.ImmutableList;
 import com.yahoo.tensor.evaluation.Name;
 
-import java.util.Collections;
 import java.util.List;
 import java.util.Objects;
 
@@ -17,21 +15,21 @@ public class Argmin<NAMETYPE extends Name> extends CompositeTensorFunction<NAMET
     private final List<String> dimensions;
 
     public Argmin(TensorFunction<NAMETYPE> argument) {
-        this(argument, Collections.emptyList());
+        this(argument, List.of());
     }
 
     public Argmin(TensorFunction<NAMETYPE> argument, String dimension) {
-        this(argument, Collections.singletonList(dimension));
+        this(argument, List.of(dimension));
     }
 
     public Argmin(TensorFunction<NAMETYPE> argument, List<String> dimensions) {
         Objects.requireNonNull(dimensions, "The dimensions cannot be null");
         this.argument = argument;
-        this.dimensions = ImmutableList.copyOf(dimensions);
+        this.dimensions = List.copyOf(dimensions);
     }
 
     @Override
-    public List<TensorFunction<NAMETYPE>> arguments() { return Collections.singletonList(argument); }
+    public List<TensorFunction<NAMETYPE>> arguments() { return List.of(argument); }
 
     @Override
     public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments) {
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/Concat.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/Concat.java
index abf0d89c2b7..2a93acc19e6 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/Concat.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/Concat.java
@@ -1,7 +1,6 @@
 // Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
 package com.yahoo.tensor.functions;
 
-import com.google.common.collect.ImmutableList;
 import com.yahoo.tensor.DimensionSizes;
 import com.yahoo.tensor.IndexedTensor;
 import com.yahoo.tensor.Tensor;
@@ -46,7 +45,7 @@ public class Concat<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMET
     }
 
     @Override
-    public List<TensorFunction<NAMETYPE>> arguments() { return ImmutableList.of(argumentA, argumentB); }
+    public List<TensorFunction<NAMETYPE>> arguments() { return List.of(argumentA, argumentB); }
 
     @Override
     public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments) {
@@ -362,20 +361,11 @@ public class Concat<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMET
             int b = 0;
             for (var how : plan.combineHow) {
                 switch (how) {
-                    case left:
-                        labels[out++] = leftOnly.label(a++);
-                        break;
-                    case right:
-                        labels[out++] = rightOnly.label(b++);
-                        break;
-                    case both:
-                        labels[out++] = match.label(m++);
-                        break;
-                    case concat:
-                        labels[out++] = String.valueOf(concatDimIdx);
-                        break;
-                    default:
-                        throw new IllegalArgumentException("cannot handle: "+how);
+                    case left -> labels[out++] = leftOnly.label(a++);
+                    case right -> labels[out++] = rightOnly.label(b++);
+                    case both -> labels[out++] = match.label(m++);
+                    case concat -> labels[out++] = String.valueOf(concatDimIdx);
+                    default -> throw new IllegalArgumentException("cannot handle: " + how);
                 }
             }
             return TensorAddress.of(labels);
@@ -419,17 +409,10 @@ public class Concat<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMET
                 int separateIdx = 0;
                 for (int i = 0; i < how.handleDims.size(); i++) {
                     switch (how.handleDims.get(i)) {
-                        case common:
-                            commonLabels[commonIdx++] = addr.label(i);
-                            break;
-                        case separate:
-                            separateLabels[separateIdx++] = addr.label(i);
-                            break;
-                        case concat:
-                            ccDimIndex = addr.numericLabel(i);
-                            break;
-                        default:
-                            throw new IllegalArgumentException("cannot handle: "+how.handleDims.get(i));
+                        case common -> commonLabels[commonIdx++] = addr.label(i);
+                        case separate -> separateLabels[separateIdx++] = addr.label(i);
+                        case concat -> ccDimIndex = addr.numericLabel(i);
+                        default -> throw new IllegalArgumentException("cannot handle: " + how.handleDims.get(i));
                     }
                 }
                 TensorAddress commonAddr = TensorAddress.of(commonLabels);
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/DynamicTensor.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/DynamicTensor.java
index c402a1bde5b..558b01baa02 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/DynamicTensor.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/DynamicTensor.java
@@ -10,7 +10,6 @@ import com.yahoo.tensor.evaluation.EvaluationContext;
 import com.yahoo.tensor.evaluation.Name;
 import com.yahoo.tensor.evaluation.TypeContext;
 
-import java.util.Collections;
 import java.util.List;
 import java.util.Map;
 import java.util.Objects;
@@ -32,7 +31,7 @@ public abstract class DynamicTensor<NAMETYPE extends Name> extends PrimitiveTens
     public TensorType type(TypeContext<NAMETYPE> context) { return type; }
 
     @Override
-    public List<TensorFunction<NAMETYPE>> arguments() { return Collections.emptyList(); }
+    public List<TensorFunction<NAMETYPE>> arguments() { return List.of(); }
 
     @Override
     public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments) {
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/Join.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/Join.java
index 1009177761b..61060b700a3 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/Join.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/Join.java
@@ -1,7 +1,6 @@
 // Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
 package com.yahoo.tensor.functions;
 
-import com.google.common.collect.ImmutableList;
 import com.google.common.collect.Sets;
 import com.yahoo.tensor.DimensionSizes;
 import com.yahoo.tensor.IndexedTensor;
@@ -15,7 +14,6 @@ import com.yahoo.tensor.evaluation.Name;
 import com.yahoo.tensor.evaluation.TypeContext;
 
 import java.util.ArrayList;
-import java.util.Collections;
 import java.util.HashMap;
 import java.util.HashSet;
 import java.util.Iterator;
@@ -60,7 +58,7 @@ public class Join<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMETYP
     public DoubleBinaryOperator combinator() { return combinator; }
 
     @Override
-    public List<TensorFunction<NAMETYPE>> arguments() { return ImmutableList.of(argumentA, argumentB); }
+    public List<TensorFunction<NAMETYPE>> arguments() { return List.of(argumentA, argumentB); }
 
     @Override
     public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments) {
@@ -345,7 +343,7 @@ public class Join<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMETYP
         for (Iterator<Tensor.Cell> cellIterator = b.cellIterator(); cellIterator.hasNext(); ) {
             Tensor.Cell bCell = cellIterator.next();
             TensorAddress partialCommonAddress = partialCommonAddress(bCell, bIndexesInCommon);
-            for (Tensor.Cell aCell : aCellsByCommonAddress.getOrDefault(partialCommonAddress, Collections.emptyList())) {
+            for (Tensor.Cell aCell : aCellsByCommonAddress.getOrDefault(partialCommonAddress, List.of())) {
                 TensorAddress combinedAddress = joinAddresses(aCell.getKey(), aIndexesInJoined,
                                                               bCell.getKey(), bIndexesInJoined, joinedType);
                 if (combinedAddress == null) continue; // not combinable
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/Matmul.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/Matmul.java
index 3239ab1a70c..a06053c88a4 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/Matmul.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/Matmul.java
@@ -1,7 +1,6 @@
 // Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
 package com.yahoo.tensor.functions;
 
-import com.google.common.collect.ImmutableList;
 import com.yahoo.tensor.TensorType;
 import com.yahoo.tensor.evaluation.Name;
 
@@ -27,7 +26,7 @@ public class Matmul<NAMETYPE extends Name> extends CompositeTensorFunction<NAMET
     }
 
     @Override
-    public List<TensorFunction<NAMETYPE>> arguments() { return ImmutableList.of(argument1, argument2); }
+    public List<TensorFunction<NAMETYPE>> arguments() { return List.of(argument1, argument2); }
 
     @Override
     public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments) {
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/Merge.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/Merge.java
index 2b9dc709e0e..86d3ca50bd7 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/Merge.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/Merge.java
@@ -1,11 +1,7 @@
 // Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
 package com.yahoo.tensor.functions;
 
-import com.google.common.collect.ImmutableList;
-import com.google.common.collect.Sets;
-import com.yahoo.tensor.DimensionSizes;
 import com.yahoo.tensor.IndexedTensor;
-import com.yahoo.tensor.PartialAddress;
 import com.yahoo.tensor.Tensor;
 import com.yahoo.tensor.TensorAddress;
 import com.yahoo.tensor.TensorType;
@@ -14,15 +10,10 @@ import com.yahoo.tensor.evaluation.EvaluationContext;
 import com.yahoo.tensor.evaluation.Name;
 import com.yahoo.tensor.evaluation.TypeContext;
 
-import java.util.ArrayList;
-import java.util.Collections;
-import java.util.HashMap;
 import java.util.Iterator;
 import java.util.List;
 import java.util.Map;
 import java.util.Objects;
-import java.util.Optional;
-import java.util.Set;
 import java.util.function.DoubleBinaryOperator;
 
 /**
@@ -55,7 +46,7 @@ public class Merge<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMETY
     public DoubleBinaryOperator merger() { return merger; }
 
     @Override
-    public List<TensorFunction<NAMETYPE>> arguments() { return ImmutableList.of(argumentA, argumentB); }
+    public List<TensorFunction<NAMETYPE>> arguments() { return List.of(argumentA, argumentB); }
 
     @Override
     public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments) {
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/Reduce.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/Reduce.java
index 96465de6c0f..83d5187f116 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/Reduce.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/Reduce.java
@@ -1,7 +1,6 @@
 // Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
 package com.yahoo.tensor.functions;
 
-import com.google.common.collect.ImmutableList;
 import com.yahoo.tensor.IndexedTensor;
 import com.yahoo.tensor.Tensor;
 import com.yahoo.tensor.TensorAddress;
@@ -37,12 +36,12 @@ public class Reduce<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMET
 
     /** Creates a reduce function reducing all dimensions */
     public Reduce(TensorFunction<NAMETYPE> argument, Aggregator aggregator) {
-        this(argument, aggregator, Collections.emptyList());
+        this(argument, aggregator, List.of());
     }
 
     /** Creates a reduce function reducing a single dimension */
     public Reduce(TensorFunction<NAMETYPE> argument, Aggregator aggregator, String dimension) {
-        this(argument, aggregator, Collections.singletonList(dimension));
+        this(argument, aggregator, List.of(dimension));
     }
 
     /**
@@ -57,7 +56,7 @@ public class Reduce<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMET
     public Reduce(TensorFunction<NAMETYPE> argument, Aggregator aggregator, List<String> dimensions) {
         this.argument = Objects.requireNonNull(argument, "The argument tensor cannot be null");
         this.aggregator  = Objects.requireNonNull(aggregator, "The aggregator cannot be null");
-        this.dimensions = ImmutableList.copyOf(dimensions);
+        this.dimensions = List.copyOf(dimensions);
     }
 
     public static TensorType outputType(TensorType inputType, List<String> reduceDimensions) {
@@ -71,7 +70,7 @@ public class Reduce<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMET
     List<String> dimensions() { return dimensions; }
 
     @Override
-    public List<TensorFunction<NAMETYPE>> arguments() { return Collections.singletonList(argument); }
+    public List<TensorFunction<NAMETYPE>> arguments() { return List.of(argument); }
 
     @Override
     public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments) {
@@ -174,16 +173,16 @@ public class Reduce<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMET
     static abstract class ValueAggregator {
 
         static ValueAggregator ofType(Aggregator aggregator) {
-            switch (aggregator) {
-                case avg : return new AvgAggregator();
-                case count : return new CountAggregator();
-                case max : return new MaxAggregator();
-                case median : return new MedianAggregator();
-                case min : return new MinAggregator();
-                case prod : return new ProdAggregator();
-                case sum : return new SumAggregator();
-                default: throw new UnsupportedOperationException("Aggregator " + aggregator + " is not implemented");
-            }
+            return switch (aggregator) {
+                case avg -> new AvgAggregator();
+                case count -> new CountAggregator();
+                case max -> new MaxAggregator();
+                case median -> new MedianAggregator();
+                case min -> new MinAggregator();
+                case prod -> new ProdAggregator();
+                case sum -> new SumAggregator();
+                default -> throw new UnsupportedOperationException("Aggregator " + aggregator + " is not implemented");
+            };
 
         }
 
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 ccb437ef5a7..1048e5ab10e 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/ReduceJoin.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/ReduceJoin.java
@@ -1,7 +1,6 @@
 // Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
 package com.yahoo.tensor.functions;
 
-import com.google.common.collect.ImmutableList;
 import com.yahoo.tensor.DimensionSizes;
 import com.yahoo.tensor.IndexedTensor;
 import com.yahoo.tensor.Tensor;
@@ -47,12 +46,12 @@ public class ReduceJoin<NAMETYPE extends Name> extends CompositeTensorFunction<N
         this.argumentB = argumentB;
         this.combinator = combinator;
         this.aggregator = aggregator;
-        this.dimensions = ImmutableList.copyOf(dimensions);
+        this.dimensions = List.copyOf(dimensions);
     }
 
     @Override
     public List<TensorFunction<NAMETYPE>> arguments() {
-        return ImmutableList.of(argumentA, argumentB);
+        return List.of(argumentA, argumentB);
     }
 
     @Override
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/Rename.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/Rename.java
index 023e91e424f..8d58cee5e1e 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/Rename.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/Rename.java
@@ -1,7 +1,6 @@
 // Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
 package com.yahoo.tensor.functions;
 
-import com.google.common.collect.ImmutableList;
 import com.yahoo.tensor.Tensor;
 import com.yahoo.tensor.TensorAddress;
 import com.yahoo.tensor.TensorType;
@@ -10,7 +9,6 @@ import com.yahoo.tensor.evaluation.EvaluationContext;
 import com.yahoo.tensor.evaluation.Name;
 import com.yahoo.tensor.evaluation.TypeContext;
 
-import java.util.Collections;
 import java.util.HashMap;
 import java.util.Iterator;
 import java.util.List;
@@ -30,7 +28,7 @@ public class Rename<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMET
     private final Map<String, String> fromToMap;
 
     public Rename(TensorFunction<NAMETYPE> argument, String fromDimension, String toDimension) {
-        this(argument, ImmutableList.of(fromDimension), ImmutableList.of(toDimension));
+        this(argument, List.of(fromDimension), List.of(toDimension));
     }
 
     public Rename(TensorFunction<NAMETYPE> argument, List<String> fromDimensions, List<String> toDimensions) {
@@ -43,8 +41,8 @@ public class Rename<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMET
             throw new IllegalArgumentException("Rename from and to dimensions must be equal, was " +
                                                fromDimensions.size() + " and " + toDimensions.size());
         this.argument = argument;
-        this.fromDimensions = ImmutableList.copyOf(fromDimensions);
-        this.toDimensions = ImmutableList.copyOf(toDimensions);
+        this.fromDimensions = List.copyOf(fromDimensions);
+        this.toDimensions = List.copyOf(toDimensions);
         this.fromToMap = fromToMap(fromDimensions, toDimensions);
     }
 
@@ -59,7 +57,7 @@ public class Rename<NAMETYPE extends Name> extends PrimitiveTensorFunction<NAMET
     }
 
     @Override
-    public List<TensorFunction<NAMETYPE>> arguments() { return Collections.singletonList(argument); }
+    public List<TensorFunction<NAMETYPE>> arguments() { return List.of(argument); }
 
     @Override
     public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments) {
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/ScalarFunctions.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/ScalarFunctions.java
index 2639e153923..1057ffa9552 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/ScalarFunctions.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/ScalarFunctions.java
@@ -1,8 +1,6 @@
 // Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
 package com.yahoo.tensor.functions;
 
-import com.google.common.collect.ImmutableList;
-
 import java.util.Comparator;
 import java.util.List;
 import java.util.Objects;
@@ -510,9 +508,9 @@ public class ScalarFunctions {
     // Variable-length operators -----------------------------------------------------------------------------
 
     public static class EqualElements implements Function<List<Long>, Double> {
-        private final ImmutableList<String> argumentNames;
+        private final List<String> argumentNames;
         private EqualElements(List<String> argumentNames) {
-            this.argumentNames = ImmutableList.copyOf(argumentNames);
+            this.argumentNames = List.copyOf(argumentNames);
         }
 
         @Override
@@ -553,9 +551,9 @@ public class ScalarFunctions {
     }
 
     public static class SumElements implements Function<List<Long>, Double> {
-        private final ImmutableList<String> argumentNames;
+        private final List<String> argumentNames;
         private SumElements(List<String> argumentNames) {
-            this.argumentNames = ImmutableList.copyOf(argumentNames);
+            this.argumentNames = List.copyOf(argumentNames);
         }
 
         @Override
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/Softmax.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/Softmax.java
index df8cd6d39cd..0853e1becf6 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/Softmax.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/Softmax.java
@@ -1,7 +1,6 @@
 // Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
 package com.yahoo.tensor.functions;
 
-import com.google.common.collect.ImmutableList;
 import com.yahoo.tensor.TensorType;
 import com.yahoo.tensor.evaluation.Name;
 
@@ -23,7 +22,7 @@ public class Softmax<NAMETYPE extends Name> extends CompositeTensorFunction<NAME
     }
 
     public static TensorType outputType(TensorType inputType, String dimension) {
-        return Reduce.outputType(inputType, ImmutableList.of(dimension));
+        return Reduce.outputType(inputType, List.of(dimension));
     }
 
     @Override
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/functions/XwPlusB.java b/vespajlib/src/main/java/com/yahoo/tensor/functions/XwPlusB.java
index bd4fc7b8336..499cd31d700 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/functions/XwPlusB.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/functions/XwPlusB.java
@@ -1,7 +1,6 @@
 // Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
 package com.yahoo.tensor.functions;
 
-import com.google.common.collect.ImmutableList;
 import com.yahoo.tensor.evaluation.Name;
 
 import java.util.List;
@@ -23,7 +22,7 @@ public class XwPlusB<NAMETYPE extends Name> extends CompositeTensorFunction<NAME
     }
 
     @Override
-    public List<TensorFunction<NAMETYPE>> arguments() { return ImmutableList.of(x, w, b); }
+    public List<TensorFunction<NAMETYPE>> arguments() { return List.of(x, w, b); }
 
     @Override
     public TensorFunction<NAMETYPE> withArguments(List<TensorFunction<NAMETYPE>> arguments) {