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// Copyright Yahoo. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.language.huggingface;
import com.yahoo.language.tools.EmbedderTester;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.io.TempDir;
import java.io.IOException;
import java.io.InputStream;
import java.io.OutputStream;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.nio.file.StandardOpenOption;
import java.util.zip.GZIPInputStream;
import static org.junit.jupiter.api.Assertions.assertEquals;
import static org.junit.jupiter.api.Assertions.assertNotEquals;
/**
* @author bjorncs
*/
class HuggingFaceTokenizerTest {
@TempDir Path tmp;
@Test
void bert_tokenizer() throws IOException {
try (var tokenizer = new HuggingFaceTokenizer.Builder()
.addSpecialTokens(false)
.addDefaultModel(decompressModelFile(tmp, "bert-base-uncased"))
.build()) {
var tester = new EmbedderTester(tokenizer);
tester.assertSegmented("what was the impact of the manhattan project",
"what", "was", "the", "impact", "of", "the", "manhattan", "project");
tester.assertSegmented("overcommunication", "over", "##com", "##mun", "##ication");
tester.assertEmbedded("what was the impact of the manhattan project",
"tensor(x[8])",
2054, 2001, 1996, 4254, 1997, 1996, 7128, 2622);
tester.assertDecoded("what was the impact of the manhattan project");
}
}
@Test
void tokenizes_using_paraphrase_multilingual_mpnet_base_v2() throws IOException {
try (var tokenizer = new HuggingFaceTokenizer.Builder()
.addSpecialTokens(false)
.addDefaultModel(decompressModelFile(tmp, "paraphrase-multilingual-mpnet-base-v2"))
.build()) {
var tester = new EmbedderTester(tokenizer);
tester.assertSegmented("h", "▁h");
tester.assertSegmented("he", "▁he");
tester.assertSegmented("hel", "▁hel");
tester.assertSegmented("hello", "▁hell", "o");
tester.assertSegmented("hei", "▁hei");
tester.assertSegmented("hei you", "▁hei", "▁you");
tester.assertSegmented("hei you", "▁hei", "▁you");
tester.assertSegmented("this is another sentence", "▁this", "▁is", "▁another", "▁sentence");
tester.assertSegmented("hello world!", "▁hell", "o", "▁world", "!");
tester.assertSegmented("Hello, world!", "▁Hello", ",", "▁world", "!");
tester.assertSegmented("HELLO, world!", "▁H", "ELLO", ",", "▁world", "!");
tester.assertSegmented("KHJKJHHKJHHSH", "▁KH", "JK", "J", "H", "HK", "J", "HH", "SH");
tester.assertSegmented("KHJKJHHKJHHSH hello", "▁KH", "JK", "J", "H", "HK", "J", "HH", "SH", "▁hell", "o");
tester.assertSegmented(" hello ", "▁hell", "o");
tester.assertSegmented(")(/&#()/\"\")", "▁", ")(", "/", "&#", "(", ")", "/", "\"", "\")");
tester.assertSegmented(")(/&#(small)/\"in quotes\")", "▁", ")(", "/", "&#", "(", "s", "mall", ")", "/", "\"", "in", "▁quote", "s", "\")");
tester.assertSegmented("x.400AS", "▁x", ".", "400", "AS");
tester.assertSegmented("A normal sentence. Yes one more.", "▁A", "▁normal", "▁sentence", ".", "▁Yes", "▁one", "▁more", ".");
tester.assertEmbedded("hello, world!", "tensor(d[10])", 33600, 31, 4, 8999, 38);
tester.assertEmbedded("Hello, world!", "tensor(d[10])", 35378, 4, 8999, 38);
tester.assertEmbedded("hello, world!", "tensor(d[2])", 33600, 31, 4, 8999, 38);
tester.assertDecoded("this is a sentence");
tester.assertDecoded("hello, world!");
tester.assertDecoded(")(/&#(small)/ \"in quotes\")");
}
}
@Test
void truncates_to_max_length() throws IOException {
int maxLength = 3;
var builder = new HuggingFaceTokenizer.Builder()
.addDefaultModel(decompressModelFile(tmp, "bert-base-uncased"))
.setMaxLength(maxLength)
.setTruncation(true);
String input = "what was the impact of the manhattan project";
try (var tokenizerWithoutSpecialTokens = builder.addSpecialTokens(false).build();
var tokenizerWithSpecialTokens = builder.addSpecialTokens(true).build()) {
var encodingWithoutSpecialTokens = tokenizerWithoutSpecialTokens.encode(input);
assertMaxLengthRespected(maxLength, encodingWithoutSpecialTokens);
assertNotEquals(101, encodingWithoutSpecialTokens.ids().get(0));
var encodingWithSpecialTokens = tokenizerWithSpecialTokens.encode(input);
assertMaxLengthRespected(maxLength, encodingWithSpecialTokens);
assertEquals(101, encodingWithSpecialTokens.ids().get(0));
}
}
@Test
void pads_to_max_length() throws IOException {
var builder = new HuggingFaceTokenizer.Builder()
.setTruncation(true)
.addDefaultModel(decompressModelFile(tmp, "bert-base-uncased"))
.addSpecialTokens(true).setMaxLength(32);
String input = "what was the impact of the manhattan project";
try (var tokenizerWithDefaultPadding = builder.build();
var tokenizerWithPaddingDisabled = builder.setPadding(false).build();
var tokenizerWithPaddingEnabled = builder.setPadding(true).build()) {
assertMaxLengthRespected(10, tokenizerWithDefaultPadding.encode(input));
assertMaxLengthRespected(10, tokenizerWithPaddingDisabled.encode(input));
assertMaxLengthRespected(32, tokenizerWithPaddingEnabled.encode(input));
}
}
@Test
void provides_model_info() throws IOException {
var expected = new ModelInfo(ModelInfo.TruncationStrategy.LONGEST_FIRST, ModelInfo.PaddingStrategy.LONGEST, 128, 0, 0);
var actual = HuggingFaceTokenizer.getModelInfo(decompressModelFile(tmp, "paraphrase-multilingual-mpnet-base-v2"));
assertEquals(expected, actual);
}
private static void assertMaxLengthRespected(int maxLength, Encoding encoding) {
assertEquals(maxLength, encoding.ids().size());
assertEquals(maxLength, encoding.tokens().size());
assertEquals(maxLength, encoding.attentionMask().size());
assertEquals(maxLength, encoding.typeIds().size());
}
private static Path decompressModelFile(Path tmp, String model) throws IOException {
var source = Paths.get("src/test/models/huggingface/%s.json.gz".formatted(model));
Path destination = tmp.resolve(source.getFileName().toString().replace(".gz", ""));
try (InputStream in = new GZIPInputStream(Files.newInputStream(source));
OutputStream out = Files.newOutputStream(destination, StandardOpenOption.CREATE)) {
in.transferTo(out);
}
return destination;
}
}
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