**Build scan:**
https://gradle-enterprise.elastic.co/s/7vcre2by7feoe/tests/:server:internalClusterTest/org.elasticsearch.search.aggregations.bucket.SignificantTermsSignificanceScoreIT/testScriptScore

**Reproduction line:**
```
./gradlew ':server:internalClusterTest' --tests "org.elasticsearch.search.aggregations.bucket.SignificantTermsSignificanceScoreIT.testScriptScore" -Dtests.seed=3AF8B75C5D0AD4EA -Dtests.locale=es-PR -Dtests.timezone=EAT -Druntime.java=20
```

**Applicable branches:**
main

**Reproduces locally?:**
Yes

**Failure history:**
https://gradle-enterprise.elastic.co/scans/tests?tests.container=org.elasticsearch.search.aggregations.bucket.SignificantTermsSignificanceScoreIT&tests.test=testScriptScore

**Failure excerpt:**
```
java.lang.Exception: Test abandoned because suite timeout was reached.

  at __randomizedtesting.SeedInfo.seed([3AF8B75C5D0AD4EA]:0)

```
server/src/internalClusterTest/java/org/elasticsearch/search/aggregations/bucket/SignificantTermsSignificanceScoreIT.java
}
    public void testScoresEqualForPositiveAndNegative(SignificanceHeuristic heuristic) throws Exception {
        
        SearchRequestBuilder request;
        if (randomBoolean()) {
            request = client().prepareSearch("test")
                .addAggregation(
                    terms("class").field("class")
                        .subAggregation(
                            significantTerms("mySignificantTerms").field("text")
                                .executionHint(randomExecutionHint())
                                .significanceHeuristic(heuristic)
                                .minDocCount(1)
                                .shardSize(1000)
                                .size(1000)
                        )
                );
        } else {
            request = client().prepareSearch("test")
                .addAggregation(
                    terms("class").field("class")
                        .subAggregation(
                            significantText("mySignificantTerms", "text").significanceHeuristic(heuristic)
                                .minDocCount(1)
                                .shardSize(1000)
                                .size(1000)
                        )
                );
        }
        SearchResponse response = request.get();