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authorliamfallon <liam.fallon@est.tech>2018-12-03 14:35:21 +0000
committerliamfallon <liam.fallon@est.tech>2018-12-03 14:41:52 +0000
commit9104eb39d56848952e68d660bdc3cc7500789501 (patch)
tree66ac25de7e95dfbc9ab9b3f0b1a41a57bb18d48f /examples/examples-adaptive
parentfb7c89ebe2e682170b09275a5e531d0a49d70ada (diff)
Fix checkstyle/sonar issues
Remove unused imports Add @FunctionalInterface annotation Reduce the complexity of some methods Change-Id: If519c31b113233361fbb935121fe6494263ac957 Issue-ID: POLICY-1074 Signed-off-by: liamfallon <liam.fallon@est.tech>
Diffstat (limited to 'examples/examples-adaptive')
-rw-r--r--examples/examples-adaptive/src/main/java/org/onap/policy/apex/examples/adaptive/model/java/AutoLearnPolicyDecideTaskSelectionLogic.java38
1 files changed, 27 insertions, 11 deletions
diff --git a/examples/examples-adaptive/src/main/java/org/onap/policy/apex/examples/adaptive/model/java/AutoLearnPolicyDecideTaskSelectionLogic.java b/examples/examples-adaptive/src/main/java/org/onap/policy/apex/examples/adaptive/model/java/AutoLearnPolicyDecideTaskSelectionLogic.java
index d60b04c00..32387d047 100644
--- a/examples/examples-adaptive/src/main/java/org/onap/policy/apex/examples/adaptive/model/java/AutoLearnPolicyDecideTaskSelectionLogic.java
+++ b/examples/examples-adaptive/src/main/java/org/onap/policy/apex/examples/adaptive/model/java/AutoLearnPolicyDecideTaskSelectionLogic.java
@@ -119,17 +119,7 @@ public class AutoLearnPolicyDecideTaskSelectionLogic {
closestdowni = i;
}
}
- if (closestupi == -1 || closestdowni == -1) {
- return r;
- }
- if (closestupi == closestdowni) {
- return closestupi;
- }
- if (Math.abs(closestdown - diff) > Math.abs(closestup - diff)) {
- return closestupi;
- } else {
- return closestdowni;
- }
+ return calculateReturnValue(diff, r, closestupi, closestdowni, closestup, closestdown);
}
/**
@@ -154,4 +144,30 @@ public class AutoLearnPolicyDecideTaskSelectionLogic {
autoLearn.setAvDiffs(Arrays.asList(avdiffs));
autoLearn.setCounts(Arrays.asList(counts));
}
+
+
+ /**
+ * Calculate the return value of the learning
+ * @param diff the difference
+ * @param r the random value
+ * @param closestupi closest to i upwards
+ * @param closestdowni closest to i downwards
+ * @param closestup closest up value
+ * @param closestdown closest down value
+ * @return the return value
+ */
+ private int calculateReturnValue(final double diff, final int r, int closestupi, int closestdowni, double closestup,
+ double closestdown) {
+ if (closestupi == -1 || closestdowni == -1) {
+ return r;
+ }
+ if (closestupi == closestdowni) {
+ return closestupi;
+ }
+ if (Math.abs(closestdown - diff) > Math.abs(closestup - diff)) {
+ return closestupi;
+ } else {
+ return closestdowni;
+ }
+ }
}