chore: refactor examples (#118)

Removing support for easy and incremental; unused for too long.
Replacing Set with SequencedSet, for reproducibility (JSON deserialization).
Replaces TSP with Flowshop in perf tests, as TSP is now effectively the same thing as VRP.
Many TSP examples marked as large, on account of TSP now using list var and exposing its worst-case performance.

Author: triceo

data/flowshop/flowshop-Ta100.json

@@ -1,15 +1,15 @@
 # Not including this file with your benchmarks will execute all examples across all supported score director types.
 
-# Possible values: cs, cs_justified, easy, incremental
+# Possible values: cs, cs_justified
 # Not including either will cause all examples to not be executed for that score director type.
 # If included, example may still not be executed because it has no support for that score director type.
-score_director_type=cs,cs_justified,easy,incremental
+score_director_type=cs,cs_justified
 
-# Possible values: cloud_balancing, conference_scheduling, curriculum_course, examination, machine_reassignment,
-#                  meeting_scheduling, nurse_rostering, patient_admission_scheduling, task_assigning,
-#                  traveling_tournament, tsp, vehicle_routing
+# Possible values: cloud_balancing, conference_scheduling, curriculum_course, examination, flow_shop,
+#                  machine_reassignment, meeting_scheduling, nurse_rostering, patient_admission_scheduling,
+#                  task_assigning, traveling_tournament, vehicle_routing
 # Not including either will cause all score director types to not be executed for that example.
-example=cloud_balancing,conference_scheduling,curriculum_course,examination,machine_reassignment,meeting_scheduling,nurse_rostering,patient_admission_scheduling,task_assigning,traveling_tournament,tsp,vehicle_routing
+example=flow_shop,machine_reassignment,meeting_scheduling,nurse_rostering,patient_admission_scheduling,task_assigning,traveling_tournament,vehicle_routing
 
 # How many forks to run each example with.
 # Default is 10.

scoredirector-benchmark.properties

@@ -50,21 +50,21 @@ public enum TSPLIBDataset implements Dataset<TSPLIBDataset> {
     d198(15780),
     d493(35002),
     d657(48912),
-    d1291(50801),
-    d1655(62128),
-    d2103(80450),
+    d1291(50801, true, true),
+    d1655(62128, true, true),
+    d2103(80450, true, true),
     d15112(157308, true, true),
     d18512(64523, true, true),
     dantzig42(699),
-    dsj1000(18660188),
+    dsj1000(18660188, true, true),
     eil51(426),
     eil76(538),
     eil101(629),
     fl417(11861),
-    fl1400(20127),
-    fl1577(22249),
-    fl3795(28772),
-    fnl4461(182566),
+    fl1400(20127, true, true),
+    fl1577(22249, true, true),
+    fl3795(28772, true, true),
+    fnl4461(182566, true, true),
     fri26(937),
     ft53(6905, false),
     ft70(38673, false),
@@ -103,13 +103,13 @@ public enum TSPLIBDataset implements Dataset<TSPLIBDataset> {
     lin105(14379),
     lin318(42029),
     // linhp318(41345), // No support for FIXED_EDGES; LocalSolver has it.
-    nrw1379(56638),
+    nrw1379(56638, true, true),
     p43(5620, false),
     p654(34643),
     pa561(2763),
     pcb442(50778),
-    pcb1173(56892),
-    pcb3038(137694),
+    pcb1173(56892, true, true),
+    pcb3038(137694, true, true),
     pla7397(23260728, true, true),
     pla33810(66048945, true, true),
     pla85900(142382641, true, true),
@@ -123,8 +123,8 @@ public enum TSPLIBDataset implements Dataset<TSPLIBDataset> {
     pr264(49135),
     pr299(48191),
     pr439(107217),
-    pr1002(259045),
-    pr2392(378032),
+    pr1002(259045, true, true),
+    pr2392(378032, true, true),
     rat99(1211),
     rat195(2323),
     rat575(6773),
@@ -135,37 +135,37 @@ public enum TSPLIBDataset implements Dataset<TSPLIBDataset> {
     rbg443(2720, false),
     rd100(7910),
     rd400(15281),
-    rl1304(252948),
-    rl1323(270199),
-    rl1889(316536),
+    rl1304(252948, true, true),
+    rl1323(270199, true, true),
+    rl1889(316536, true, true),
     rl5915(565530, true, true),
     rl5934(556045, true, true),
     rl11849(923288, true, true),
     ry48p(14422, false),
     si175(21407),
     si535(48450),
-    si1032(92650),
+    si1032(92650, true, true),
     st70(675),
     swiss42(1273),
     ts225(126643),
     tsp225(3916),
     u159(42080),
     u574(36905),
     u724(41910),
-    u1060(224094),
-    u1432(152970),
-    u1817(57201),
-    u2152(64253),
-    u2319(234256),
+    u1060(224094, true, true),
+    u1432(152970, true, true),
+    u1817(57201, true, true),
+    u2152(64253, true, true),
+    u2319(234256, true, true),
     ulysses16(6859),
     ulysses22(7013),
     usa13509(19982859, true, true),
-    vm1084(239297),
-    vm1748(336556);
+    vm1084(239297, true, true),
+    vm1748(336556, true, true);
 
     private final int bestKnownDistance;
     private final boolean symmetric;
-    private final boolean large;
+    private final boolean large; // Datasets over 1000 are typically marked large; one list var => 1000+ sized lists.
 
     TSPLIBDataset(int bestKnownDistance) {
         this(bestKnownDistance, true);