JAL-2480 cache min-max score values per sequence and feature type
[jalview.git] / test / jalview / datamodel / features / FeatureStoreTest.java
index 6e30990..5d3b13f 100644 (file)
@@ -597,4 +597,94 @@ public class FeatureStoreTest
             14, 28, 1f, "AGroup");
     assertEquals(FeatureStore.getFeatureLength(sf3), 1);
   }
+
+  @Test(groups = "Functional")
+  public void testMin()
+  {
+    assertEquals(FeatureStore.min(Float.NaN, Float.NaN), Float.NaN);
+    assertEquals(FeatureStore.min(Float.NaN, 2f), 2f);
+    assertEquals(FeatureStore.min(-2f, Float.NaN), -2f);
+    assertEquals(FeatureStore.min(2f, -3f), -3f);
+  }
+
+  @Test(groups = "Functional")
+  public void testMax()
+  {
+    assertEquals(FeatureStore.max(Float.NaN, Float.NaN), Float.NaN);
+    assertEquals(FeatureStore.max(Float.NaN, 2f), 2f);
+    assertEquals(FeatureStore.max(-2f, Float.NaN), -2f);
+    assertEquals(FeatureStore.max(2f, -3f), 2f);
+  }
+
+  @Test(groups = "Functional")
+  public void testGetMinimumScore_getMaximumScore()
+  {
+    FeatureStore fs = new FeatureStore();
+    assertEquals(fs.getMinimumScore(true), Float.NaN); // positional
+    assertEquals(fs.getMaximumScore(true), Float.NaN);
+    assertEquals(fs.getMinimumScore(false), Float.NaN); // non-positional
+    assertEquals(fs.getMaximumScore(false), Float.NaN);
+
+    // add features with no score
+    SequenceFeature sf1 = new SequenceFeature("type", "desc", 0, 0,
+            Float.NaN, "group");
+    fs.addFeature(sf1);
+    SequenceFeature sf2 = new SequenceFeature("type", "desc", 10, 20,
+            Float.NaN, "group");
+    fs.addFeature(sf2);
+    assertEquals(fs.getMinimumScore(true), Float.NaN);
+    assertEquals(fs.getMaximumScore(true), Float.NaN);
+    assertEquals(fs.getMinimumScore(false), Float.NaN);
+    assertEquals(fs.getMaximumScore(false), Float.NaN);
+
+    // add positional features with score
+    SequenceFeature sf3 = new SequenceFeature("type", "desc", 10, 20, 1f,
+            "group");
+    fs.addFeature(sf3);
+    SequenceFeature sf4 = new SequenceFeature("type", "desc", 12, 16, 4f,
+            "group");
+    fs.addFeature(sf4);
+    assertEquals(fs.getMinimumScore(true), 1f);
+    assertEquals(fs.getMaximumScore(true), 4f);
+    assertEquals(fs.getMinimumScore(false), Float.NaN);
+    assertEquals(fs.getMaximumScore(false), Float.NaN);
+
+    // add non-positional features with score
+    SequenceFeature sf5 = new SequenceFeature("type", "desc", 0, 0, 11f,
+            "group");
+    fs.addFeature(sf5);
+    SequenceFeature sf6 = new SequenceFeature("type", "desc", 0, 0, -7f,
+            "group");
+    fs.addFeature(sf6);
+    assertEquals(fs.getMinimumScore(true), 1f);
+    assertEquals(fs.getMaximumScore(true), 4f);
+    assertEquals(fs.getMinimumScore(false), -7f);
+    assertEquals(fs.getMaximumScore(false), 11f);
+
+    // delete one positional and one non-positional
+    // min-max should be recomputed
+    assertTrue(fs.delete(sf6));
+    assertTrue(fs.delete(sf3));
+    assertEquals(fs.getMinimumScore(true), 4f);
+    assertEquals(fs.getMaximumScore(true), 4f);
+    assertEquals(fs.getMinimumScore(false), 11f);
+    assertEquals(fs.getMaximumScore(false), 11f);
+
+    // delete remaining features with score
+    assertTrue(fs.delete(sf4));
+    assertTrue(fs.delete(sf5));
+    assertEquals(fs.getMinimumScore(true), Float.NaN);
+    assertEquals(fs.getMaximumScore(true), Float.NaN);
+    assertEquals(fs.getMinimumScore(false), Float.NaN);
+    assertEquals(fs.getMaximumScore(false), Float.NaN);
+
+    // delete all features
+    assertTrue(fs.delete(sf1));
+    assertTrue(fs.delete(sf2));
+    assertTrue(fs.isEmpty());
+    assertEquals(fs.getMinimumScore(true), Float.NaN);
+    assertEquals(fs.getMaximumScore(true), Float.NaN);
+    assertEquals(fs.getMinimumScore(false), Float.NaN);
+    assertEquals(fs.getMaximumScore(false), Float.NaN);
+  }
 }