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-rw-r--r--vespajlib/src/main/java/com/yahoo/tensor/IndexedTensor.java26
-rw-r--r--vespajlib/src/main/java/com/yahoo/tensor/MappedTensor.java9
-rw-r--r--vespajlib/src/main/java/com/yahoo/tensor/MixedTensor.java64
-rw-r--r--vespajlib/src/main/java/com/yahoo/tensor/Tensor.java27
4 files changed, 89 insertions, 37 deletions
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/IndexedTensor.java b/vespajlib/src/main/java/com/yahoo/tensor/IndexedTensor.java
index 0e919d828ed..89eefeced56 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/IndexedTensor.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/IndexedTensor.java
@@ -219,21 +219,31 @@ public abstract class IndexedTensor implements Tensor {
}
@Override
- public String toString() {
- if (type.rank() == 0) return Tensor.toStandardString(this);
+ public String toString() { return toString(Long.MAX_VALUE); }
+
+ @Override
+ public String toShortString() {
+ return toString(Math.max(2, 10 / (type().dimensions().stream().filter(d -> d.isMapped()).count() + 1)));
+ }
+
+ private String toString(long maxCells) {
+ if (type.rank() == 0) return Tensor.toStandardString(this, maxCells);
if (type.dimensions().stream().anyMatch(d -> d.size().isEmpty()))
- return Tensor.toStandardString(this);
+ return Tensor.toStandardString(this, maxCells);
Indexes indexes = Indexes.of(dimensionSizes);
StringBuilder b = new StringBuilder(type.toString()).append(":");
- indexedBlockToString(this, indexes, b);
+ indexedBlockToString(this, indexes, maxCells, b);
return b.toString();
}
- static void indexedBlockToString(IndexedTensor tensor, Indexes indexes, StringBuilder b) {
- for (int index = 0; index < tensor.size(); index++) {
+ static void indexedBlockToString(IndexedTensor tensor, Indexes indexes, long maxCells, StringBuilder b) {
+ int index = 0;
+ for (; index < tensor.size() && index < maxCells; index++) {
indexes.next();
+ if (index > 0)
+ b.append(", ");
// start brackets
for (int i = 0; i < indexes.nextDimensionsAtStart(); i++)
@@ -252,9 +262,9 @@ public abstract class IndexedTensor implements Tensor {
// end bracket and comma
for (int i = 0; i < indexes.nextDimensionsAtEnd(); i++)
b.append("]");
- if (index < tensor.size() - 1)
- b.append(", ");
}
+ if (index == maxCells && index < tensor.size())
+ b.append(", ...]");
}
@Override
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/MappedTensor.java b/vespajlib/src/main/java/com/yahoo/tensor/MappedTensor.java
index 09e93d80bd9..ad945ed18bf 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/MappedTensor.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/MappedTensor.java
@@ -50,7 +50,7 @@ public class MappedTensor implements Tensor {
public Tensor withType(TensorType other) {
if (!this.type.isRenamableTo(type)) {
throw new IllegalArgumentException("MappedTensor.withType: types are not compatible. Current type: '" +
- this.type.toString() + "', requested type: '" + type.toString() + "'");
+ this.type + "', requested type: '" + type.toString() + "'");
}
return new MappedTensor(other, cells);
}
@@ -72,7 +72,12 @@ public class MappedTensor implements Tensor {
public int hashCode() { return cells.hashCode(); }
@Override
- public String toString() { return Tensor.toStandardString(this); }
+ public String toString() { return Tensor.toStandardString(this, Long.MAX_VALUE); }
+
+ @Override
+ public String toShortString() {
+ return Tensor.toStandardString(this, Math.max(2, 10 / (type().dimensions().stream().filter(d -> d.isMapped()).count() + 1)));
+ }
@Override
public boolean equals(Object other) {
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/MixedTensor.java b/vespajlib/src/main/java/com/yahoo/tensor/MixedTensor.java
index 418e9efdffb..56bd94a86e9 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/MixedTensor.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/MixedTensor.java
@@ -5,6 +5,7 @@ package com.yahoo.tensor;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableMap;
+import java.util.ArrayList;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
@@ -116,7 +117,7 @@ public class MixedTensor implements Tensor {
public Tensor withType(TensorType other) {
if (!this.type.isRenamableTo(type)) {
throw new IllegalArgumentException("MixedTensor.withType: types are not compatible. Current type: '" +
- this.type.toString() + "', requested type: '" + type.toString() + "'");
+ this.type + "', requested type: '" + type + "'");
}
return new MixedTensor(other, cells, index);
}
@@ -144,12 +145,23 @@ public class MixedTensor implements Tensor {
@Override
public String toString() {
- if (type.rank() == 0) return Tensor.toStandardString(this);
+ return toString(Long.MAX_VALUE);
+ }
+
+ @Override
+ public String toShortString() {
+ return toString(Math.max(2, 10 / (type().dimensions().stream().filter(d -> d.isMapped()).count() + 1)));
+ }
+
+ private String toString(long maxCells) {
+ if (type.rank() == 0)
+ return Tensor.toStandardString(this, maxCells);
if (type.rank() > 1 && type.dimensions().stream().filter(d -> d.isIndexed()).anyMatch(d -> d.size().isEmpty()))
- return Tensor.toStandardString(this);
- if (type.dimensions().stream().filter(d -> d.isMapped()).count() > 1) return Tensor.toStandardString(this);
+ return Tensor.toStandardString(this, maxCells);
+ if (type.dimensions().stream().filter(d -> d.isMapped()).count() > 1)
+ return Tensor.toStandardString(this, maxCells);
- return type.toString() + ":" + index.contentToString(this);
+ return type + ":" + index.contentToString(this, maxCells);
}
@Override
@@ -503,37 +515,50 @@ public class MixedTensor implements Tensor {
return "index into " + type;
}
- private String contentToString(MixedTensor tensor) {
+ private String contentToString(MixedTensor tensor, long maxCells) {
if (mappedDimensions.size() > 1) throw new IllegalStateException("Should be ensured by caller");
if (mappedDimensions.size() == 0) {
StringBuilder b = new StringBuilder();
- denseSubspaceToString(tensor, 0, b);
+ int cellsWritten = denseSubspaceToString(tensor, 0, maxCells, b);
+ if (cellsWritten == maxCells && cellsWritten < tensor.size())
+ b.append("...]");
return b.toString();
}
// Exactly 1 mapped dimension
StringBuilder b = new StringBuilder("{");
- sparseMap.entrySet().stream().sorted(Map.Entry.comparingByKey()).forEach(entry -> {
- b.append(TensorAddress.labelToString(entry.getKey().label(0 )));
+ var cellEntries = new ArrayList<>(sparseMap.entrySet());
+ cellEntries.sort(Map.Entry.comparingByKey());
+ int cellsWritten = 0;
+ for (int index = 0; index < cellEntries.size() && cellsWritten < maxCells; index++) {
+ if (index > 0)
+ b.append(", ");
+ b.append(TensorAddress.labelToString(cellEntries.get(index).getKey().label(0 )));
b.append(":");
- denseSubspaceToString(tensor, entry.getValue(), b);
- b.append(",");
- });
- if (b.length() > 1)
- b.setLength(b.length() - 1);
+ cellsWritten += denseSubspaceToString(tensor, cellEntries.get(index).getValue(), maxCells - cellsWritten, b);
+ }
+ if (cellsWritten >= maxCells && cellsWritten < tensor.size())
+ b.append(", ...");
b.append("}");
return b.toString();
}
- private void denseSubspaceToString(MixedTensor tensor, long subspaceIndex, StringBuilder b) {
+ private int denseSubspaceToString(MixedTensor tensor, long subspaceIndex, long maxCells, StringBuilder b) {
+ if (maxCells <= 0) {
+ return 0;
+ }
+
if (denseSubspaceSize == 1) {
b.append(getDouble(subspaceIndex, 0, tensor));
- return;
+ return 1;
}
IndexedTensor.Indexes indexes = IndexedTensor.Indexes.of(denseType);
- for (int index = 0; index < denseSubspaceSize; index++) {
+ int index = 0;
+ for (; index < denseSubspaceSize && index < maxCells; index++) {
indexes.next();
+ if (index > 0)
+ b.append(", ");
// start brackets
for (int i = 0; i < indexes.nextDimensionsAtStart(); i++)
@@ -549,12 +574,11 @@ public class MixedTensor implements Tensor {
throw new IllegalStateException("Unexpected value type " + type.valueType());
}
- // end bracket and comma
+ // end bracket
for (int i = 0; i < indexes.nextDimensionsAtEnd(); i++)
b.append("]");
- if (index < denseSubspaceSize - 1)
- b.append(", ");
}
+ return index;
}
private double getDouble(long indexedSubspaceIndex, long indexInIndexedSubspace, MixedTensor tensor) {
diff --git a/vespajlib/src/main/java/com/yahoo/tensor/Tensor.java b/vespajlib/src/main/java/com/yahoo/tensor/Tensor.java
index ca396ae5bf2..06e7b010a7a 100644
--- a/vespajlib/src/main/java/com/yahoo/tensor/Tensor.java
+++ b/vespajlib/src/main/java/com/yahoo/tensor/Tensor.java
@@ -316,28 +316,41 @@ public interface Tensor {
@Override
String toString();
+ /** Returns an abbreviated string representation of this tensor suitable for human-readable messages */
+ String toShortString();
+
/**
* Call this from toString in implementations to return this tensor on the
* <a href="https://docs.vespa.ai/en/reference/tensor.html#tensor-literal-form">tensor literal form</a>.
* (toString cannot be a default method because default methods cannot override super methods).
*
* @param tensor the tensor to return the standard string format of
+ * @param maxCells the max number of cells to output, after which just , "..." is output to represent the rest
+ * of the cells
* @return the tensor on the standard string format
*/
- static String toStandardString(Tensor tensor) {
- return tensor.type() + ":" + contentToString(tensor);
+ static String toStandardString(Tensor tensor, long maxCells) {
+ return tensor.type() + ":" + contentToString(tensor, maxCells);
}
- static String contentToString(Tensor tensor) {
+ static String contentToString(Tensor tensor, long maxCells) {
var cellEntries = new ArrayList<>(tensor.cells().entrySet());
+ cellEntries.sort(Map.Entry.comparingByKey());
if (tensor.type().dimensions().isEmpty()) {
if (cellEntries.isEmpty()) return "{}";
return "{" + cellEntries.get(0).getValue() +"}";
}
- return "{" + cellEntries.stream().sorted(Map.Entry.comparingByKey())
- .map(cell -> cellToString(cell, tensor.type()))
- .collect(Collectors.joining(",")) +
- "}";
+ StringBuilder b = new StringBuilder("{");
+ int i = 0;
+ for (; i < cellEntries.size() && i < maxCells; i++) {
+ if (i > 0)
+ b.append(", ");
+ b.append(cellToString(cellEntries.get(i), tensor.type()));
+ }
+ if (i == maxCells && i < tensor.size())
+ b.append(", ...");
+ b.append("}");
+ return b.toString();
}
private static String cellToString(Map.Entry<TensorAddress, Double> cell, TensorType type) {