chore: fine tune setup

Author: AlexanderSchultheiss

docker/config-reproduction.properties

@@ -21,7 +21,7 @@ experiment.dataset.min-size=0
 # more commits, it is simply ignored. Values of 0 or less are automatically converted to Integer.MAX_VALUE.
 experiment.dataset.max-size=0
 # Number of threads for parallel execution. Note that the bottleneck might be the IO capacity of your disk.
-experiment.thread-count=10
+experiment.thread-count=50
 # Should the amount of data be reduced by sampling with a certain confidence?
 experiment.enable-sampling=false
 # (z) is the Z-score corresponding to your desired confidence level (for a 95% confidence level, (z = 1.96)),

src/main/kotlin/org/variantsync/evaluation/PatcherEvaluationMain.kt

@@ -175,7 +175,7 @@ fun main(args: Array<String>) {
 
     cloneDatasets(allSamples, config)
 
-    val n = 10
+    val n = 5
     Logger.info("Processing $n repos in parallel")
     val threadPool = Executors.newFixedThreadPool(n)
 
@@ -550,4 +550,4 @@ private fun loadCompletedRuns(config: EvalConfig): HashMap<Int, MutableMap<Strin
         set.add(run)
     }
     return map
-}
+}

src/main/kotlin/org/variantsync/evaluation/execution/EvalUtils.kt

@@ -30,9 +30,9 @@ fun filterUnpatchedFiles(originalPatch: OriginalDiff, diffToFilter: OriginalDiff
 fun defaultPatchers(strip: Int): List<Patcher> {
     val patchers = ArrayList<Patcher>()
     patchers.add(GNUPatch("unix_patch", strip))
-    patchers.add(MPatch("pwm_f1", strip, 1))
+    // patchers.add(MPatch("pwm_f1", strip, 1))
     patchers.add(MPatch("pwm_f2", strip, 2))
-    patchers.add(GitApply("git_apply", strip))
+    // patchers.add(GitApply("git_apply", strip))
     patchers.add(GitCP("git_cherry", strip, MergeStrategy.Ours))
     return patchers
 }