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authorJon Bratseth <bratseth@yahoo-inc.com>2016-06-15 23:09:44 +0200
committerJon Bratseth <bratseth@yahoo-inc.com>2016-06-15 23:09:44 +0200
commit72231250ed81e10d66bfe70701e64fa5fe50f712 (patch)
tree2728bba1131a6f6e5bdf95afec7d7ff9358dac50 /vespajlib/src/main/java/com/yahoo/tensor/TensorTypeParser.java
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Diffstat (limited to 'vespajlib/src/main/java/com/yahoo/tensor/TensorTypeParser.java')
-rw-r--r--vespajlib/src/main/java/com/yahoo/tensor/TensorTypeParser.java70
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diff --git a/vespajlib/src/main/java/com/yahoo/tensor/TensorTypeParser.java b/vespajlib/src/main/java/com/yahoo/tensor/TensorTypeParser.java
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+++ b/vespajlib/src/main/java/com/yahoo/tensor/TensorTypeParser.java
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+// Copyright 2016 Yahoo Inc. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
+package com.yahoo.tensor;
+
+import com.google.common.annotations.Beta;
+
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+
+/**
+ * Class for parsing a tensor type spec.
+ *
+ * @author <a href="mailto:geirst@yahoo-inc.com">Geir Storli</a>
+ */
+@Beta
+class TensorTypeParser {
+
+ private final static String START_STRING = "tensor(";
+ private final static String END_STRING = ")";
+
+ private static final Pattern indexedPattern = Pattern.compile("(\\w+)\\[(\\d*)\\]");
+ private static final Pattern mappedPattern = Pattern.compile("(\\w+)\\{\\}");
+
+ static TensorType fromSpec(String specString) {
+ if (!specString.startsWith(START_STRING) || !specString.endsWith(END_STRING)) {
+ throw new IllegalArgumentException("Tensor type spec must start with '" + START_STRING + "'" +
+ " and end with '" + END_STRING + "', but was '" + specString + "'");
+ }
+ TensorType.Builder builder = new TensorType.Builder();
+ String dimensionsSpec = specString.substring(START_STRING.length(), specString.length() - END_STRING.length());
+ if (dimensionsSpec.isEmpty()) {
+ return builder.build();
+ }
+ for (String element : dimensionsSpec.split(",")) {
+ String trimmedElement = element.trim();
+ if (tryParseIndexedDimension(trimmedElement, builder)) {
+ } else if (tryParseMappedDimension(trimmedElement, builder)) {
+ } else {
+ throw new IllegalArgumentException("Failed parsing element '" + element +
+ "' in type spec '" + specString + "'");
+ }
+ }
+ return builder.build();
+ }
+
+ private static boolean tryParseIndexedDimension(String element, TensorType.Builder builder) {
+ Matcher matcher = indexedPattern.matcher(element);
+ if (matcher.matches()) {
+ String dimensionName = matcher.group(1);
+ String dimensionSize = matcher.group(2);
+ if (dimensionSize.isEmpty()) {
+ builder.indexedUnbound(dimensionName);
+ } else {
+ builder.indexedBound(dimensionName, Integer.valueOf(dimensionSize));
+ }
+ return true;
+ }
+ return false;
+ }
+
+ private static boolean tryParseMappedDimension(String element, TensorType.Builder builder) {
+ Matcher matcher = mappedPattern.matcher(element);
+ if (matcher.matches()) {
+ String dimensionName = matcher.group(1);
+ builder.mapped(dimensionName);
+ return true;
+ }
+ return false;
+ }
+}
+