NishantShri4 commented on code in PR #792:
URL: https://github.com/apache/opennlp/pull/792#discussion_r2147457557
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opennlp-tools/src/test/java/opennlp/tools/sentdetect/SentenceDetectorMEGermanTest.java:
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@@ -45,19 +48,25 @@ public class SentenceDetectorMEGermanTest extends
AbstractSentenceDetectorTest {
private static SentenceModel sentdetectModel;
- @BeforeAll
- public static void prepareResources() throws IOException {
- Dictionary abbreviationDict = loadAbbDictionary(Locale.GERMAN);
- SentenceDetectorFactory factory = new SentenceDetectorFactory(
- "deu", true, abbreviationDict, EOS_CHARS);
- sentdetectModel = train(factory, Locale.GERMAN);
- Assertions.assertNotNull(sentdetectModel);
- Assertions.assertEquals("deu", sentdetectModel.getLanguage());
+ private void prepareResources(boolean useTokenEnd) {
Review Comment:
We need a way to configure the SentenceDetectorFactory differently i.e.
useTokenEnd=true for some tests and with
useTokenEnd=false for one other test.
Approach1 - @BeforeAll is removed, and the method prepareResources() is
made private and parameterized so that the respective test case can get the
trained model based on its need.
Appraoch-2 : Exclusively configure the SentenceDetectorFactory for the new
test (i.e. useTokenEnd=false scenario) in its own definition and leave the
previous @BeforeAll method as is.
Pls. suggest any preference of approach-2 over approach1 ?
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