diff options
author | Henning Baldersheim <balder@yahoo-inc.com> | 2022-12-04 22:42:13 +0100 |
---|---|---|
committer | Henning Baldersheim <balder@yahoo-inc.com> | 2022-12-04 22:42:13 +0100 |
commit | fd54b4e4b136b05b67b471dca3ca6ce3dd116710 (patch) | |
tree | 88ab77cc41620eb2b8639b10b7edd1e57b901f12 /vespajlib/src/main/java/com/yahoo | |
parent | fae49834f53500587921196e86ee4af4c670d8c9 (diff) |
Revert collect(Collectors.toList())
Diffstat (limited to 'vespajlib/src/main/java/com/yahoo')
9 files changed, 14 insertions, 14 deletions
diff --git a/vespajlib/src/main/java/com/yahoo/path/Path.java b/vespajlib/src/main/java/com/yahoo/path/Path.java index 5a835b1059f..737a27c57d8 100644 --- a/vespajlib/src/main/java/com/yahoo/path/Path.java +++ b/vespajlib/src/main/java/com/yahoo/path/Path.java @@ -55,7 +55,7 @@ public final class Path { * Add path elements by splitting based on delimiter and appending to elements. */ private static List<String> elementsOf(String path, String delimiter) { - return Arrays.stream(path.split(delimiter)).filter(e -> !"".equals(e)).toList(); + return Arrays.stream(path.split(delimiter)).filter(e -> !"".equals(e)).collect(Collectors.toList()); } /** diff --git a/vespajlib/src/main/java/com/yahoo/tensor/TensorType.java b/vespajlib/src/main/java/com/yahoo/tensor/TensorType.java index 36693280183..dfbcb06c365 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()).toList()); + mappedSubtype = new TensorType(valueType, dimensions.stream().filter(d -> ! d.isIndexed()).collect(Collectors.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 2aee7baa0cc..7218375de89 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().toList()); + this.diagFunction = ScalarFunctions.equal(dimensionNames().collect(Collectors.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 ae65dc929bd..7053eeb0a1c 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().toList()); + this.rangeFunction = ScalarFunctions.sum(dimensionNames().collect(Collectors.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 95987d9b886..1048e5ab10e 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) - .toList(); + .collect(Collectors.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 a9a6df6ed4d..39bddc3a3cd 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).toList(); + return dims.stream().filter(pred).map(TensorType.Dimension::name).collect(Collectors.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()).toList(); + peekDimensions = subspaceAddress.stream().map(d -> d.dimension().get()).collect(Collectors.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 a7afc1efc6d..b683519988c 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())).toList(); + .map(d -> TensorType.Dimension.mapped(d.name())).collect(Collectors.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 c18e9f179d6..2a55ac658b1 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()).toList(); + List<TensorType.Dimension> sparseDimensions = tensor.type().dimensions().stream().filter(d -> !d.isIndexed()).collect(Collectors.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()).toList(); + List<TensorType.Dimension> denseDimensions = tensor.type().dimensions().stream().filter(d -> d.isIndexed()).collect(Collectors.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()).toList(); + List<TensorType.Dimension> sparseDimensions = tensor.type().dimensions().stream().filter(d -> !d.isIndexed()).collect(Collectors.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()).toList(); + List<TensorType.Dimension> sparseDimensions = type.dimensions().stream().filter(d -> !d.isIndexed()).collect(Collectors.toList()); TensorType sparseType = MixedTensor.createPartialType(type.valueType(), sparseDimensions); long denseSubspaceSize = builder.denseSubspaceSize(); diff --git a/vespajlib/src/main/java/com/yahoo/transaction/NestedTransaction.java b/vespajlib/src/main/java/com/yahoo/transaction/NestedTransaction.java index 7b9de25954d..25e6222486c 100644 --- a/vespajlib/src/main/java/com/yahoo/transaction/NestedTransaction.java +++ b/vespajlib/src/main/java/com/yahoo/transaction/NestedTransaction.java @@ -96,7 +96,7 @@ public final class NestedTransaction implements AutoCloseable { @Override public String toString() { - return String.join(",", transactions.stream().map(Object::toString).toList()); + return String.join(",", transactions.stream().map(Object::toString).collect(Collectors.toList())); } private List<Transaction> organizeTransactions(List<ConstrainedTransaction> transactions) { @@ -166,7 +166,7 @@ public final class NestedTransaction implements AutoCloseable { private List<OrderingConstraint> findAllOrderingConstraintsFrom(Class<? extends Transaction> transactionType, List<OrderingConstraint> constraints) { - return constraints.stream().filter(c -> c.before().equals(transactionType)).toList(); + return constraints.stream().filter(c -> c.before().equals(transactionType)).collect(Collectors.toList()); } private static class ConstrainedTransaction { |