diff --git a/IncrementalMinimization/budget_graph.py b/IncrementalMinimization/budget_graph.py
deleted file mode 100644
index 198c879d..00000000
--- a/IncrementalMinimization/budget_graph.py
+++ /dev/null
@@ -1,96 +0,0 @@
-import matplotlib.pyplot as pyplot
-import matplotlib.ticker as mtick
-
-import sys
-
-xAxis = "Number of States"
-yAxis = "Average Amount of Minimization Completed in Time Budget"
-title = "Comparison of Incremental Algorithms"
-
-testsfile = sys.argv[1]
-xIndex = int(sys.argv[2])
-percent1_index = int(sys.argv[3])
-percent2_index = int(sys.argv[4])
-increment = int(sys.argv[5])
-cutoff = int(sys.argv[6])
-
-def toNum(s):
-    if s.isdigit():
-        return int(s)
-    else:
-        return float(s)
-
-def generate_data(data, increment, cutoff):
-    def format_tick(start, end):
-        return "{} - {}".format(start, end)
-    
-    def get_tick_from_point(point):
-        mod = int(point) % increment
-        start = point - mod
-        return format_tick(start, start+increment-1)
-
-    data.sort(key = lambda r: r[xIndex])
-    ticks = []
-    tick_map = {}
-    p1_data = []
-    p2_data = []
-    for i in range(0, cutoff, increment):
-        tick_start = i
-        tick_end = (i + increment) - 1
-        ticks.append(format_tick(tick_start, tick_end))
-    cur_index = 0
-    count = 1
-    for row in range(0, len(data)):
-        x = data[row][xIndex]
-        if x >= cutoff:
-            break
-        p1 = data[row][percent1_index]
-        p2 = data[row][percent2_index]
-        tick = ticks[cur_index]
-        actual_tick = get_tick_from_point(x)
-        while(tick != actual_tick):
-            cur_index += 1
-            if len(p1_data) < cur_index:
-                raise NotImplementedError() #TODO: implement if no data in range
-            tick = ticks[cur_index]
-        if len(p1_data) == cur_index:
-            count = 1
-            p1_data.append(p1)
-            p2_data.append(p2)
-        else:
-            count += 1
-            p1_data[cur_index] += (p1 - p1_data[cur_index])/float(count)
-            p2_data[cur_index] += (p2 - p2_data[cur_index])/float(count)
-    print(ticks)
-    print(len(ticks))
-    print(len(p1_data))
-    for i in range(0,len(ticks)):
-        print "{} : {} : {}".format(ticks[i], str(p1_data[i]), str(p2_data[i]))
-    assert(len(ticks) == len(p1_data))
-    assert(len(p1_data) == len(p2_data))
-    return ticks, p1_data, p2_data
-
-with open(testsfile, "r") as f:
-    fStrings = f.read().split('\n')
-
-title_row = fStrings[0].split(',')
-fData = [[toNum(datum) for datum in row.split(',') if datum]
-         for row in fStrings[1:] if row]
-
-ticks, p1_data, p2_data = generate_data(fData, increment, cutoff)
-
-p1_data = [p1*100 for p1 in p1_data]
-p2_data = [p2*100 for p2 in p2_data]
-fig, ax = pyplot.subplots(1,1)
-percent_format = mtick.FormatStrFormatter("%.0f%%")
-ax.bar([a - 0.15 for a in range(0,len(p1_data))], p1_data, width=0.30, label="Symbolic Incremental")
-ax.bar([b + 0.15 for b in range(0,len(p2_data))], p2_data, width=0.30, label="'Naive' Incremental")
-pyplot.xticks(range(0, len(ticks)), ticks, fontsize=6)
-ax.yaxis.set_major_formatter(percent_format)
-pyplot.xlabel(xAxis)
-pyplot.ylabel(yAxis)
-pyplot.title(title)
-pyplot.legend(loc=0)
-pyplot.savefig("budget_graph.png", dpi=600)
-
-
diff --git a/IncrementalMinimization/compare_data.py b/IncrementalMinimization/compare_data.py
deleted file mode 100644
index af87d80b..00000000
--- a/IncrementalMinimization/compare_data.py
+++ /dev/null
@@ -1,52 +0,0 @@
-import sys
-
-file1 = sys.argv[1]
-file2 = sys.argv[2]
-base_index = int(sys.argv[3])
-comp_index = int(sys.argv[4])
-
-def toNum(s):
-    if s.isdigit():
-        return int(s)
-    else:
-        return float(s)
-
-with open(file1, "r") as f:
-    f1 = f.read().split("\n")
-
-with open(file2, "r") as f:
-    f2 = f.read().split("\n")
-
-title_row = f1[0].split(',')
-#assert(all(title1 == title2 for title1, title2 in zip(title_row, f2[0].split(','))))
-f1Data = [[toNum(datum) for datum in row.split(',') if datum]
-          for row in f1[1:] if row]
-f2Data = [[toNum(datum) for datum in row.split(',') if datum]
-          for row in f2[1:] if row]
-
-f1Average = 0
-f2Average = 0
-count = 0.0
-for row in range(0,min(len(f1Data),len(f2Data))):
-    if f1Data[row][:4] != f2Data[row][:4]:
-        if len(f1Data) > len(f2Data):
-            f1Data.pop(row)
-        elif len(f1Data) < len(f2Data):
-            f2Data.pop(row)
-        else:
-            raise Exception("Data tables not expressing same data")
-            
-    f1Comp = f1Data[row][base_index] - f1Data[row][comp_index]
-    f2Comp = f2Data[row][base_index] - f2Data[row][comp_index]
-    if count == 0:
-        f1Average = f1Comp
-        f2Average = f2Comp
-    else:
-        count += 1.0
-        f1Average += (f1Comp - f1Average)/count
-        f2Average += (f2Comp - f2Average)/count
-
-print(f1Average)
-print(f2Average)
-print((f2Average-f1Average)/float(f1Average))
-
diff --git a/IncrementalMinimization/generate_graph.py b/IncrementalMinimization/generate_graph.py
deleted file mode 100644
index 03aa9e00..00000000
--- a/IncrementalMinimization/generate_graph.py
+++ /dev/null
@@ -1,53 +0,0 @@
-import matplotlib.pyplot as pyplot
-import sys
-
-xAxis = "Number of States"
-yAxis = "Average Minimization Time (ns)"
-title = "Comparison of SFA Minimization Algorithms"
-
-testsfile = sys.argv[1]
-xIndex = int(sys.argv[2])
-graph_indices = [int(i) for i in sys.argv[3:-1]]
-cutoff = int(sys.argv[-1])
-
-def toNum(s):
-    if s.isdigit():
-        return int(s)
-    else:
-        return float(s)
-
-def mergeData(data, index):
-    data.sort(key = lambda x: x[index])
-    new_data = []
-    count = 1
-    for row in data:
-        if new_data and new_data[-1][index] == row[index]:
-            old_row = new_data[-1]
-            count += 1
-            for i in range(0, len(old_row)):
-                if i != index:
-                    old_row[i] += (row[i] - old_row[i])/float(count) #running average
-        else:
-            count = 1
-            new_data.append(row)
-    return new_data
-        
-with open(testsfile, "r") as f:
-    fStrings = f.read().split('\n')
-
-title_row = fStrings[0].split(',')
-fData = [[toNum(datum) for datum in row.split(',') if datum]
-         for row in fStrings[1:] if row]
-fData = mergeData(fData, xIndex)
-
-xData = [row[xIndex] for row in fData if row[xIndex] <= cutoff]
-for i in graph_indices:
-    graphData = [row[i] for row in fData[:len(xData)]]
-    pyplot.plot(xData, graphData, label=title_row[i], linewidth=1.0)
-pyplot.yscale("log")
-pyplot.legend(loc=0)
-pyplot.xlabel(xAxis)
-pyplot.ylabel(yAxis)
-pyplot.title(title)
-pyplot.savefig("graph.png", dpi=600)
-
diff --git a/IncrementalMinimization/record_graph.py b/IncrementalMinimization/record_graph.py
deleted file mode 100644
index f128f10a..00000000
--- a/IncrementalMinimization/record_graph.py
+++ /dev/null
@@ -1,68 +0,0 @@
-import numpy
-import matplotlib.pyplot as pyplot
-import plotly.plotly as plotly
-import plotly.tools as plottls
-
-import sys
-
-xAxis = "Percentage of Time Passed"
-yAxis = "Number of States"
-title = "Progress of Symbolic Incremental Minimization"
-
-testsfile = sys.argv[1]
-
-def toNum(s):
-    if s.isdigit():
-        return int(s)
-    else:
-        return float(s)
-
-with open(testsfile, "r") as f:
-    fStrings = f.read().split("\n")
-
-title_row = fStrings[0].split(',')
-x = [toNum(s) for s in title_row[1:-1] if s]
-
-y = []
-z = []
-for row in fStrings[1:]:
-    if row:
-        row = row.split(",")
-        print(row)
-        states = toNum(row[0])
-        for percent in row[1:-1]:
-            z.append(toNum(percent))
-            y.append(states)
-
-
-x = numpy.unique(x)
-y = numpy.unique(y)
-X,Y = numpy.meshgrid(x,y)
-z = numpy.array(z)
-Z = z.reshape(len(y),len(x))
-print(y)
-print(x)
-print(Z)
-pyplot.pcolormesh(X,Y,Z)
-bar = pyplot.colorbar()
-bar.set_label("Percentage of Minimization Completed")
-
-"""
-
-fig = pyplot.figure()
-ax = fig.add_subplot(111)
-ax.set_title(title)
-plotly_fig = plottls.mpl_to_plotly(fig)
-"""
-
-"""
-hexbins = pyplot.hexbin(x,y, gridsize=100, cmap = 'inferno')
-pyplot.axis([xmin, xmax, ymin, ymax])
-colorbar = pyplot.colorbar(hexbins)
-"""
-
-pyplot.title(title)
-pyplot.ylabel(yAxis)
-pyplot.xlabel(xAxis)
-pyplot.xticks(range(0,110,10),["{}%".format(p) for p in title_row[1:-1]])
-pyplot.savefig("heatmap.png", dpi=600)
diff --git a/IncrementalMinimization/results/budget_graph.png b/IncrementalMinimization/results/budget_graph.png
index 62e75b27..4e5cc4e2 100644
Binary files a/IncrementalMinimization/results/budget_graph.png and b/IncrementalMinimization/results/budget_graph.png differ
diff --git a/IncrementalMinimization/results/budget_test.txt b/IncrementalMinimization/results/budget_test.txt
index f16c1141..bbd2bf09 100644
--- a/IncrementalMinimization/results/budget_test.txt
+++ b/IncrementalMinimization/results/budget_test.txt
@@ -1,26 +1,26 @@
-initial states, final states, incremental states, naive states, incremental percent, upfront incremental percent
+initial states, final states, incremental states, upfront statesincremental percent, upfront percent
 25, 17, 17, 25, 1.0, 0.0
-35, 25, 25, 35, 1.0, 0.0
+35, 25, 27, 35, 0.8, 0.0
 14, 11, 11, 14, 1.0, 0.0
-10, 9, 9, 9, 1.0, 1.0
-15, 13, 13, 13, 1.0, 1.0
+10, 9, 9, 10, 1.0, 0.0
+15, 13, 13, 15, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
 5, 3, 3, 3, 1.0, 1.0
-8, 4, 4, 4, 1.0, 1.0
-5, 3, 3, 3, 1.0, 1.0
-7, 3, 3, 3, 1.0, 1.0
+8, 4, 4, 8, 1.0, 0.0
+5, 3, 4, 3, 0.5, 1.0
+7, 3, 5, 6, 0.5, 0.25
 17, 12, 12, 17, 1.0, 0.0
 5, 5, 5, 5, 1.0, 1.0
 3, 2, 2, 2, 1.0, 1.0
 4, 3, 3, 3, 1.0, 1.0
 24, 24, 24, 24, 1.0, 1.0
 15, 13, 13, 13, 1.0, 1.0
-31, 8, 8, 30, 1.0, 0.043478260869565216
+31, 8, 8, 31, 1.0, 0.0
 3, 2, 2, 2, 1.0, 1.0
 5, 4, 4, 4, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 4, 3, 3, 3, 1.0, 1.0
-10, 7, 7, 9, 1.0, 0.3333333333333333
+10, 7, 7, 10, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
 111, 21, 110, 111, 0.011111111111111112, 0.0
 1, 1, 1, 1, 1.0, 1.0
@@ -32,78 +32,78 @@ initial states, final states, incremental states, naive states, incremental perc
 35, 9, 9, 35, 1.0, 0.0
 10, 9, 9, 9, 1.0, 1.0
 6, 6, 6, 6, 1.0, 1.0
-13, 9, 9, 9, 1.0, 1.0
+13, 9, 9, 12, 1.0, 0.25
 36, 17, 17, 36, 1.0, 0.0
 20, 13, 13, 20, 1.0, 0.0
 44, 18, 18, 44, 1.0, 0.0
 7, 5, 5, 5, 1.0, 1.0
 10, 8, 8, 8, 1.0, 1.0
-48, 39, 45, 48, 0.3333333333333333, 0.0
+48, 39, 48, 48, 0.0, 0.0
 9, 6, 6, 6, 1.0, 1.0
 7, 5, 5, 5, 1.0, 1.0
 40, 15, 15, 40, 1.0, 0.0
-10, 7, 7, 8, 1.0, 0.6666666666666666
-121, 56, 96, 121, 0.38461538461538464, 0.0
+10, 7, 7, 10, 1.0, 0.0
+121, 56, 98, 99, 0.35384615384615387, 0.3384615384615385
 61, 40, 46, 61, 0.7142857142857143, 0.0
 917, 114, 870, 905, 0.058530510585305104, 0.014943960149439602
-64, 35, 40, 64, 0.8275862068965517, 0.0
+64, 35, 46, 64, 0.6206896551724138, 0.0
 35, 22, 22, 35, 1.0, 0.0
-62, 35, 44, 62, 0.6666666666666666, 0.0
-68, 42, 57, 68, 0.4230769230769231, 0.0
+62, 35, 46, 62, 0.5925925925925926, 0.0
 68, 42, 57, 68, 0.4230769230769231, 0.0
 68, 42, 57, 68, 0.4230769230769231, 0.0
-16, 10, 10, 10, 1.0, 1.0
+68, 42, 58, 68, 0.38461538461538464, 0.0
+16, 10, 10, 12, 1.0, 0.6666666666666666
 17, 11, 11, 11, 1.0, 1.0
-65, 30, 54, 65, 0.3142857142857143, 0.0
+65, 30, 52, 63, 0.37142857142857144, 0.05714285714285714
 68, 34, 57, 68, 0.3235294117647059, 0.0
 50, 30, 36, 50, 0.7, 0.0
-58, 31, 32, 58, 0.9629629629629629, 0.0
+58, 31, 38, 58, 0.7407407407407407, 0.0
 15, 11, 11, 11, 1.0, 1.0
-23, 17, 17, 23, 1.0, 0.0
+23, 17, 19, 23, 0.6666666666666666, 0.0
 44, 41, 41, 44, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
-55, 31, 37, 52, 0.75, 0.125
-534, 5, 72, 534, 0.8733459357277883, 0.0
-29, 4, 4, 5, 1.0, 0.96
-154, 114, 154, 154, 0.0, 0.0
-23, 17, 17, 23, 1.0, 0.0
+55, 31, 36, 50, 0.7916666666666666, 0.20833333333333334
+534, 5, 17, 534, 0.9773156899810964, 0.0
+29, 4, 5, 5, 0.96, 0.96
+154, 114, 152, 154, 0.05, 0.0
+23, 17, 18, 23, 0.8333333333333334, 0.0
 43, 35, 35, 43, 1.0, 0.0
 44, 17, 17, 44, 1.0, 0.0
-43, 34, 36, 43, 0.7777777777777778, 0.0
-38, 27, 28, 38, 0.9090909090909091, 0.0
-22, 12, 15, 16, 0.7, 0.6
-14, 12, 12, 14, 1.0, 0.0
-37, 18, 22, 34, 0.7894736842105263, 0.15789473684210525
-15, 12, 12, 12, 1.0, 1.0
-20, 15, 15, 17, 1.0, 0.6
-9, 8, 8, 8, 1.0, 1.0
-38, 20, 21, 38, 0.9444444444444444, 0.0
-44, 21, 30, 44, 0.6086956521739131, 0.0
+43, 34, 35, 43, 0.8888888888888888, 0.0
+38, 27, 27, 38, 1.0, 0.0
+22, 12, 16, 16, 0.6, 0.6
+14, 12, 12, 12, 1.0, 1.0
+37, 18, 24, 37, 0.6842105263157895, 0.0
+15, 12, 12, 14, 1.0, 0.3333333333333333
 20, 15, 15, 20, 1.0, 0.0
-18, 17, 17, 18, 1.0, 0.0
-27, 22, 22, 26, 1.0, 0.2
-20, 17, 17, 18, 1.0, 0.6666666666666666
-56, 50, 52, 56, 0.6666666666666666, 0.0
+9, 8, 8, 8, 1.0, 1.0
+38, 20, 20, 38, 1.0, 0.0
+44, 21, 29, 40, 0.6521739130434783, 0.17391304347826086
+20, 15, 15, 17, 1.0, 0.6
+18, 17, 17, 17, 1.0, 1.0
+27, 22, 22, 27, 1.0, 0.0
+20, 17, 17, 17, 1.0, 1.0
+56, 50, 51, 56, 0.8333333333333334, 0.0
 13, 11, 11, 13, 1.0, 0.0
 143, 12, 115, 143, 0.21374045801526717, 0.0
 179, 94, 168, 179, 0.12941176470588237, 0.0
-19, 16, 16, 19, 1.0, 0.0
+19, 16, 16, 17, 1.0, 0.6666666666666666
 1, 1, 1, 1, 1.0, 1.0
 21, 15, 15, 21, 1.0, 0.0
 18, 17, 17, 18, 1.0, 0.0
-17, 16, 16, 16, 1.0, 1.0
+17, 16, 16, 17, 1.0, 0.0
 34, 27, 28, 34, 0.8571428571428571, 0.0
-61, 31, 36, 61, 0.8333333333333334, 0.0
+61, 31, 35, 61, 0.8666666666666667, 0.0
 12, 11, 11, 11, 1.0, 1.0
 27, 23, 23, 27, 1.0, 0.0
 35, 33, 33, 35, 1.0, 0.0
-113, 55, 102, 108, 0.1896551724137931, 0.08620689655172414
-22, 16, 16, 18, 1.0, 0.6666666666666666
+113, 55, 104, 113, 0.15517241379310345, 0.0
+22, 16, 16, 20, 1.0, 0.3333333333333333
 1024, 1024, 1024, 1024, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 17, 16, 16, 16, 1.0, 1.0
 9, 7, 7, 7, 1.0, 1.0
-261, 22, 71, 134, 0.7949790794979079, 0.5313807531380753
+261, 22, 36, 134, 0.9414225941422594, 0.5313807531380753
 43, 25, 27, 43, 0.8888888888888888, 0.0
 36, 32, 32, 36, 1.0, 0.0
 36, 6, 12, 35, 0.8, 0.03333333333333333
@@ -112,30 +112,30 @@ initial states, final states, incremental states, naive states, incremental perc
 9, 2, 2, 9, 1.0, 0.0
 8, 7, 7, 8, 1.0, 0.0
 10, 3, 3, 3, 1.0, 1.0
-38, 31, 31, 33, 1.0, 0.7142857142857143
+38, 31, 31, 34, 1.0, 0.5714285714285714
 432, 98, 430, 430, 0.005988023952095809, 0.005988023952095809
 25, 25, 25, 25, 1.0, 1.0
-37, 30, 31, 31, 0.8571428571428571, 0.8571428571428571
+37, 30, 31, 35, 0.8571428571428571, 0.2857142857142857
 23, 23, 23, 23, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 19, 18, 18, 18, 1.0, 1.0
 28, 17, 17, 28, 1.0, 0.0
-90, 57, 82, 90, 0.24242424242424243, 0.0
+90, 57, 83, 90, 0.21212121212121213, 0.0
 1, 1, 1, 1, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 85, 1, 1, 85, 1.0, 0.0
 12, 12, 12, 12, 1.0, 1.0
-40, 25, 25, 36, 1.0, 0.26666666666666666
-43, 19, 19, 35, 1.0, 0.3333333333333333
+40, 25, 25, 40, 1.0, 0.0
+43, 19, 19, 37, 1.0, 0.25
 93, 28, 78, 93, 0.23076923076923078, 0.0
-197, 49, 195, 196, 0.013513513513513514, 0.006756756756756757
-83, 32, 64, 76, 0.37254901960784315, 0.13725490196078433
-17, 1, 1, 17, 1.0, 0.0
+197, 49, 192, 197, 0.033783783783783786, 0.0
+83, 32, 67, 83, 0.3137254901960784, 0.0
+17, 1, 1, 5, 1.0, 0.75
 89, 21, 64, 89, 0.36764705882352944, 0.0
-14, 11, 11, 12, 1.0, 0.6666666666666666
-184, 21, 21, 88, 1.0, 0.588957055214724
+14, 11, 11, 11, 1.0, 1.0
+184, 21, 21, 93, 1.0, 0.558282208588957
 33, 23, 23, 33, 1.0, 0.0
-154, 73, 135, 154, 0.2345679012345679, 0.0
+154, 73, 136, 154, 0.2222222222222222, 0.0
 47, 34, 34, 47, 1.0, 0.0
 431, 184, 429, 431, 0.008097165991902834, 0.0
 224, 20, 65, 224, 0.7794117647058824, 0.0
@@ -144,43 +144,43 @@ initial states, final states, incremental states, naive states, incremental perc
 33, 17, 17, 33, 1.0, 0.0
 29, 14, 14, 29, 1.0, 0.0
 19, 12, 12, 19, 1.0, 0.0
-8, 5, 5, 5, 1.0, 1.0
-27, 11, 11, 21, 1.0, 0.375
+8, 5, 5, 8, 1.0, 0.0
+27, 11, 13, 21, 0.875, 0.375
 6, 5, 5, 5, 1.0, 1.0
-41, 18, 18, 22, 1.0, 0.8260869565217391
+41, 18, 18, 23, 1.0, 0.782608695652174
 9, 7, 7, 9, 1.0, 0.0
 11, 9, 9, 11, 1.0, 0.0
-12, 7, 9, 10, 0.6, 0.4
-47, 12, 31, 47, 0.45714285714285713, 0.0
+12, 7, 7, 9, 1.0, 0.6
+47, 12, 18, 47, 0.8285714285714286, 0.0
 6, 3, 3, 3, 1.0, 1.0
 47, 27, 35, 47, 0.6, 0.0
 17, 15, 15, 17, 1.0, 0.0
 20, 19, 19, 19, 1.0, 1.0
 22, 18, 18, 22, 1.0, 0.0
-18, 15, 15, 15, 1.0, 1.0
-22, 16, 16, 21, 1.0, 0.16666666666666666
+18, 15, 15, 18, 1.0, 0.0
+22, 16, 16, 22, 1.0, 0.0
 56, 18, 22, 56, 0.8947368421052632, 0.0
 48, 39, 42, 48, 0.6666666666666666, 0.0
-26, 11, 11, 26, 1.0, 0.0
-9, 7, 7, 7, 1.0, 1.0
+26, 11, 11, 16, 1.0, 0.6666666666666666
+9, 7, 7, 8, 1.0, 0.5
 123, 40, 104, 123, 0.2289156626506024, 0.0
 16, 16, 16, 16, 1.0, 1.0
 33, 27, 27, 33, 1.0, 0.0
 28, 18, 18, 28, 1.0, 0.0
 8, 7, 7, 7, 1.0, 1.0
-33, 18, 25, 33, 0.5333333333333333, 0.0
-47, 25, 36, 47, 0.5, 0.0
-21, 17, 17, 17, 1.0, 1.0
-24, 12, 17, 24, 0.5833333333333334, 0.0
+33, 18, 18, 33, 1.0, 0.0
+47, 25, 38, 47, 0.4090909090909091, 0.0
+21, 17, 17, 18, 1.0, 0.75
+24, 12, 13, 24, 0.9166666666666666, 0.0
 173, 71, 143, 143, 0.29411764705882354, 0.29411764705882354
 95, 64, 94, 94, 0.03225806451612903, 0.03225806451612903
 23, 19, 19, 23, 1.0, 0.0
-95, 28, 39, 95, 0.835820895522388, 0.0
+95, 28, 38, 95, 0.8507462686567164, 0.0
 63, 28, 36, 63, 0.7714285714285715, 0.0
-7, 4, 4, 4, 1.0, 1.0
-11, 10, 10, 10, 1.0, 1.0
+7, 4, 4, 7, 1.0, 0.0
 11, 10, 10, 11, 1.0, 0.0
-48, 41, 43, 48, 0.7142857142857143, 0.0
+11, 10, 10, 11, 1.0, 0.0
+48, 41, 42, 48, 0.8571428571428571, 0.0
 12, 8, 8, 10, 1.0, 0.5
 37, 15, 16, 37, 0.9545454545454546, 0.0
 23, 23, 23, 23, 1.0, 1.0
@@ -194,25 +194,25 @@ initial states, final states, incremental states, naive states, incremental perc
 13, 13, 13, 13, 1.0, 1.0
 47, 32, 32, 47, 1.0, 0.0
 37, 30, 30, 37, 1.0, 0.0
-28, 15, 15, 27, 1.0, 0.07692307692307693
+28, 15, 15, 25, 1.0, 0.23076923076923078
 65, 44, 56, 65, 0.42857142857142855, 0.0
 1, 1, 1, 1, 1.0, 1.0
 17, 17, 17, 17, 1.0, 1.0
 50, 25, 40, 50, 0.4, 0.0
 17, 17, 17, 17, 1.0, 1.0
-63, 41, 50, 63, 0.5909090909090909, 0.0
+63, 41, 53, 63, 0.45454545454545453, 0.0
 17, 17, 17, 17, 1.0, 1.0
 23, 21, 21, 23, 1.0, 0.0
 47, 23, 23, 47, 1.0, 0.0
 30, 26, 26, 30, 1.0, 0.0
 12, 9, 9, 12, 1.0, 0.0
-31, 27, 27, 29, 1.0, 0.5
+31, 27, 27, 31, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
 23, 23, 23, 23, 1.0, 1.0
 8, 8, 8, 8, 1.0, 1.0
-23, 13, 13, 16, 1.0, 0.7
+23, 13, 13, 13, 1.0, 1.0
 9, 8, 8, 8, 1.0, 1.0
-30, 20, 20, 30, 1.0, 0.0
+30, 20, 20, 28, 1.0, 0.2
 56, 55, 55, 55, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 17, 15, 15, 15, 1.0, 1.0
@@ -220,46 +220,46 @@ initial states, final states, incremental states, naive states, incremental perc
 10, 5, 5, 5, 1.0, 1.0
 22, 19, 19, 19, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
-23, 13, 13, 14, 1.0, 0.9
+23, 13, 13, 13, 1.0, 1.0
 12, 12, 12, 12, 1.0, 1.0
 12, 9, 9, 9, 1.0, 1.0
 6, 6, 6, 6, 1.0, 1.0
 22, 16, 16, 22, 1.0, 0.0
 10, 4, 4, 4, 1.0, 1.0
 7, 6, 6, 7, 1.0, 0.0
-41, 24, 35, 36, 0.35294117647058826, 0.29411764705882354
-96, 17, 52, 85, 0.5569620253164557, 0.13924050632911392
-110, 20, 76, 110, 0.37777777777777777, 0.0
-13, 8, 8, 10, 1.0, 0.6
+41, 24, 34, 36, 0.4117647058823529, 0.29411764705882354
+96, 17, 52, 96, 0.5569620253164557, 0.0
+110, 20, 72, 110, 0.4222222222222222, 0.0
+13, 8, 8, 12, 1.0, 0.2
 23, 23, 23, 23, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
-14, 12, 12, 14, 1.0, 0.0
-7, 5, 5, 5, 1.0, 1.0
+14, 12, 12, 12, 1.0, 1.0
+7, 5, 5, 6, 1.0, 0.5
 7, 5, 5, 5, 1.0, 1.0
-98, 42, 98, 98, 0.0, 0.0
+98, 42, 79, 98, 0.3392857142857143, 0.0
 10, 7, 7, 10, 1.0, 0.0
-11, 6, 6, 8, 1.0, 0.6
-25, 13, 17, 25, 0.6666666666666666, 0.0
+11, 6, 6, 11, 1.0, 0.0
+25, 13, 13, 25, 1.0, 0.0
 34, 3, 3, 34, 1.0, 0.0
-11, 4, 4, 7, 1.0, 0.5714285714285714
-34, 18, 31, 34, 0.1875, 0.0
+11, 4, 4, 11, 1.0, 0.0
+34, 18, 29, 34, 0.3125, 0.0
 17, 17, 17, 17, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 9, 9, 9, 9, 1.0, 1.0
 33, 22, 22, 33, 1.0, 0.0
-10, 9, 9, 10, 1.0, 0.0
+10, 9, 9, 9, 1.0, 1.0
 6, 5, 5, 5, 1.0, 1.0
 26, 26, 26, 26, 1.0, 1.0
 20, 4, 4, 7, 1.0, 0.8125
-323, 67, 323, 323, 0.0, 0.0
-8, 4, 4, 7, 1.0, 0.25
+323, 67, 322, 323, 0.00390625, 0.0
+8, 4, 4, 4, 1.0, 1.0
 4, 3, 3, 3, 1.0, 1.0
-55, 42, 48, 55, 0.5384615384615384, 0.0
+55, 42, 49, 55, 0.46153846153846156, 0.0
 3, 3, 3, 3, 1.0, 1.0
-14, 7, 7, 11, 1.0, 0.42857142857142855
-22, 11, 11, 16, 1.0, 0.5454545454545454
+14, 7, 7, 7, 1.0, 1.0
+22, 11, 11, 22, 1.0, 0.0
 7, 5, 5, 5, 1.0, 1.0
-46, 19, 35, 46, 0.4074074074074074, 0.0
+46, 19, 33, 46, 0.48148148148148145, 0.0
 18, 18, 18, 18, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
@@ -273,21 +273,21 @@ initial states, final states, incremental states, naive states, incremental perc
 55, 35, 36, 55, 0.95, 0.0
 80, 53, 66, 80, 0.5185185185185185, 0.0
 8, 7, 7, 7, 1.0, 1.0
-83, 40, 66, 80, 0.3953488372093023, 0.06976744186046512
+83, 40, 70, 81, 0.3023255813953488, 0.046511627906976744
 17, 17, 17, 17, 1.0, 1.0
 6, 4, 4, 4, 1.0, 1.0
 29, 26, 26, 29, 1.0, 0.0
 30, 29, 29, 30, 1.0, 0.0
 11, 8, 8, 11, 1.0, 0.0
-10, 7, 7, 7, 1.0, 1.0
-45, 26, 40, 45, 0.2631578947368421, 0.0
+10, 7, 7, 9, 1.0, 0.3333333333333333
+45, 26, 39, 45, 0.3157894736842105, 0.0
 8, 7, 7, 7, 1.0, 1.0
 24, 22, 22, 24, 1.0, 0.0
 11, 9, 9, 11, 1.0, 0.0
-13, 7, 7, 8, 1.0, 0.8333333333333334
+13, 7, 7, 7, 1.0, 1.0
 12, 10, 10, 12, 1.0, 0.0
 14, 12, 12, 14, 1.0, 0.0
-66, 26, 55, 66, 0.275, 0.0
+66, 26, 58, 66, 0.2, 0.0
 43, 26, 33, 43, 0.5882352941176471, 0.0
 38, 5, 5, 38, 1.0, 0.0
 21, 14, 14, 21, 1.0, 0.0
@@ -304,8 +304,8 @@ initial states, final states, incremental states, naive states, incremental perc
 6, 4, 4, 4, 1.0, 1.0
 13, 9, 9, 9, 1.0, 1.0
 17, 12, 12, 17, 1.0, 0.0
-52, 28, 51, 51, 0.041666666666666664, 0.041666666666666664
-17, 2, 2, 15, 1.0, 0.13333333333333333
+52, 28, 51, 52, 0.041666666666666664, 0.0
+17, 2, 2, 2, 1.0, 1.0
 15, 12, 12, 14, 1.0, 0.3333333333333333
 32, 25, 25, 25, 1.0, 1.0
 29, 29, 29, 29, 1.0, 1.0
@@ -317,82 +317,79 @@ initial states, final states, incremental states, naive states, incremental perc
 31, 31, 31, 31, 1.0, 1.0
 120, 60, 106, 120, 0.23333333333333334, 0.0
 57, 33, 35, 57, 0.9166666666666666, 0.0
-36, 19, 19, 36, 1.0, 0.0
+36, 19, 19, 34, 1.0, 0.11764705882352941
 38, 24, 25, 38, 0.9285714285714286, 0.0
-40, 33, 33, 40, 1.0, 0.0
+40, 33, 33, 38, 1.0, 0.2857142857142857
 4, 3, 3, 3, 1.0, 1.0
 6, 4, 4, 4, 1.0, 1.0
 17, 13, 13, 17, 1.0, 0.0
 35, 20, 20, 35, 1.0, 0.0
 26, 16, 16, 26, 1.0, 0.0
 40, 24, 24, 40, 1.0, 0.0
-7, 5, 5, 6, 1.0, 0.5
+7, 5, 5, 5, 1.0, 1.0
 22, 7, 7, 22, 1.0, 0.0
-20, 5, 5, 20, 1.0, 0.0
-13, 11, 11, 13, 1.0, 0.0
-10, 8, 8, 10, 1.0, 0.0
-28, 20, 20, 27, 1.0, 0.125
+20, 5, 5, 17, 1.0, 0.2
+13, 11, 11, 11, 1.0, 1.0
+10, 8, 8, 8, 1.0, 1.0
+28, 20, 20, 26, 1.0, 0.25
 120, 64, 92, 120, 0.5, 0.0
 1, 1, 1, 1, 1.0, 1.0
-12, 8, 8, 8, 1.0, 1.0
+12, 8, 8, 12, 1.0, 0.0
 25, 15, 15, 25, 1.0, 0.0
 42, 18, 18, 42, 1.0, 0.0
 22, 22, 22, 22, 1.0, 1.0
 33, 20, 20, 33, 1.0, 0.0
-26, 8, 8, 18, 1.0, 0.4444444444444444
+26, 8, 8, 22, 1.0, 0.2222222222222222
 9, 6, 6, 6, 1.0, 1.0
-12, 10, 10, 10, 1.0, 1.0
+12, 10, 10, 12, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 8, 7, 7, 7, 1.0, 1.0
-10, 8, 8, 8, 1.0, 1.0
-43, 33, 33, 33, 1.0, 1.0
+10, 8, 8, 10, 1.0, 0.0
 24, 24, 24, 24, 1.0, 1.0
-28, 7, 9, 24, 0.9047619047619048, 0.19047619047619047
+28, 7, 9, 22, 0.9047619047619048, 0.2857142857142857
 25, 8, 9, 25, 0.9411764705882353, 0.0
-10, 4, 4, 6, 1.0, 0.6666666666666666
-15, 7, 7, 15, 1.0, 0.0
-56, 34, 43, 49, 0.5909090909090909, 0.3181818181818182
+10, 4, 4, 5, 1.0, 0.8333333333333334
+15, 7, 7, 14, 1.0, 0.125
+56, 34, 42, 48, 0.6363636363636364, 0.36363636363636365
 13, 12, 12, 12, 1.0, 1.0
 28, 16, 16, 28, 1.0, 0.0
 38, 23, 23, 38, 1.0, 0.0
-67, 46, 59, 67, 0.38095238095238093, 0.0
-49, 31, 41, 49, 0.4444444444444444, 0.0
+67, 46, 57, 66, 0.47619047619047616, 0.047619047619047616
+49, 31, 40, 49, 0.5, 0.0
 18, 15, 15, 15, 1.0, 1.0
-158, 40, 148, 150, 0.0847457627118644, 0.06779661016949153
+158, 40, 146, 146, 0.1016949152542373, 0.1016949152542373
 24, 17, 19, 24, 0.7142857142857143, 0.0
 25, 8, 9, 25, 0.9411764705882353, 0.0
-19, 5, 5, 7, 1.0, 0.8571428571428571
+19, 5, 5, 16, 1.0, 0.21428571428571427
 1, 1, 1, 1, 1.0, 1.0
-12, 2, 2, 2, 1.0, 1.0
+12, 2, 2, 3, 1.0, 0.9
 21, 21, 21, 21, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
-13, 11, 11, 13, 1.0, 0.0
+13, 11, 11, 11, 1.0, 1.0
 5, 4, 4, 4, 1.0, 1.0
-10, 9, 9, 10, 1.0, 0.0
+10, 9, 9, 9, 1.0, 1.0
 9, 7, 7, 9, 1.0, 0.0
-38, 22, 24, 38, 0.875, 0.0
+38, 22, 23, 37, 0.9375, 0.0625
 6, 5, 5, 5, 1.0, 1.0
-102, 51, 88, 102, 0.27450980392156865, 0.0
+102, 51, 87, 102, 0.29411764705882354, 0.0
 5, 4, 4, 4, 1.0, 1.0
 8, 6, 6, 6, 1.0, 1.0
 9, 4, 4, 9, 1.0, 0.0
 40, 32, 32, 40, 1.0, 0.0
-15, 13, 13, 14, 1.0, 0.5
+15, 13, 13, 13, 1.0, 1.0
 8, 7, 7, 7, 1.0, 1.0
 22, 9, 10, 22, 0.9230769230769231, 0.0
 32, 12, 13, 32, 0.95, 0.0
 8, 6, 6, 6, 1.0, 1.0
-10, 5, 5, 9, 1.0, 0.2
+10, 5, 5, 5, 1.0, 1.0
 24, 7, 8, 20, 0.9411764705882353, 0.23529411764705882
 6, 5, 5, 5, 1.0, 1.0
 29, 2, 2, 29, 1.0, 0.0
 5, 5, 5, 5, 1.0, 1.0
 22, 22, 22, 22, 1.0, 1.0
 34, 2, 2, 21, 1.0, 0.40625
-264, 220, 264, 264, 0.0, 0.0
-20, 20, 20, 20, 1.0, 1.0
-15, 14, 14, 14, 1.0, 1.0
+264, 220, 263, 263, 0.022727272727272728, 0.022727272727272728
 10, 10, 10, 10, 1.0, 1.0
 22, 22, 22, 22, 1.0, 1.0
 12, 12, 12, 12, 1.0, 1.0
@@ -400,47 +397,47 @@ initial states, final states, incremental states, naive states, incremental perc
 22, 15, 15, 15, 1.0, 1.0
 13, 13, 13, 13, 1.0, 1.0
 12, 12, 12, 12, 1.0, 1.0
-290, 93, 283, 290, 0.03553299492385787, 0.0
+290, 93, 285, 290, 0.025380710659898477, 0.0
 33, 32, 32, 33, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
-23, 18, 18, 20, 1.0, 0.6
+23, 18, 18, 21, 1.0, 0.4
 24, 22, 22, 24, 1.0, 0.0
 29, 20, 20, 29, 1.0, 0.0
 20, 16, 16, 20, 1.0, 0.0
 140, 53, 129, 140, 0.12643678160919541, 0.0
-30, 17, 20, 30, 0.7692307692307693, 0.0
+30, 17, 19, 30, 0.8461538461538461, 0.0
 58, 54, 54, 58, 1.0, 0.0
-129, 91, 129, 129, 0.0, 0.0
-56, 30, 44, 56, 0.46153846153846156, 0.0
+129, 91, 115, 129, 0.3684210526315789, 0.0
+56, 30, 42, 56, 0.5384615384615384, 0.0
 161, 64, 160, 161, 0.010309278350515464, 0.0
 98, 44, 98, 98, 0.0, 0.0
 23, 16, 16, 23, 1.0, 0.0
 56, 52, 52, 56, 1.0, 0.0
 31, 25, 25, 31, 1.0, 0.0
-54, 35, 39, 54, 0.7894736842105263, 0.0
+54, 35, 38, 54, 0.8421052631578947, 0.0
 64, 43, 50, 64, 0.6666666666666666, 0.0
 6, 6, 6, 6, 1.0, 1.0
 56, 28, 42, 54, 0.5, 0.07142857142857142
-73, 40, 56, 71, 0.5151515151515151, 0.06060606060606061
+73, 40, 56, 73, 0.5151515151515151, 0.0
 6, 4, 4, 4, 1.0, 1.0
 14, 9, 9, 14, 1.0, 0.0
-16, 3, 3, 5, 1.0, 0.8461538461538461
-9, 4, 4, 9, 1.0, 0.0
+16, 3, 3, 6, 1.0, 0.7692307692307693
+9, 4, 4, 5, 1.0, 0.8
 13, 6, 6, 13, 1.0, 0.0
 21, 10, 10, 21, 1.0, 0.0
-13, 6, 6, 13, 1.0, 0.0
+13, 6, 6, 8, 1.0, 0.7142857142857143
 31, 15, 15, 31, 1.0, 0.0
 3, 2, 2, 2, 1.0, 1.0
 15, 10, 10, 15, 1.0, 0.0
 6, 4, 4, 4, 1.0, 1.0
 6, 6, 6, 6, 1.0, 1.0
-27, 11, 12, 27, 0.9375, 0.0
+27, 11, 11, 27, 1.0, 0.0
 20, 9, 9, 20, 1.0, 0.0
 9, 9, 9, 9, 1.0, 1.0
 67, 10, 11, 67, 0.9824561403508771, 0.0
 26, 3, 3, 26, 1.0, 0.0
-48, 44, 44, 48, 1.0, 0.0
-15, 10, 10, 10, 1.0, 1.0
+48, 44, 44, 44, 1.0, 1.0
+15, 10, 10, 15, 1.0, 0.0
 26, 20, 20, 26, 1.0, 0.0
 11, 9, 9, 11, 1.0, 0.0
 7, 5, 5, 5, 1.0, 1.0
@@ -449,21 +446,21 @@ initial states, final states, incremental states, naive states, incremental perc
 7, 6, 6, 6, 1.0, 1.0
 28, 17, 17, 28, 1.0, 0.0
 24, 19, 19, 24, 1.0, 0.0
-8, 7, 7, 7, 1.0, 1.0
+8, 7, 7, 8, 1.0, 0.0
 7, 3, 3, 3, 1.0, 1.0
-4, 3, 3, 3, 1.0, 1.0
+4, 3, 3, 4, 1.0, 0.0
 3, 2, 2, 3, 1.0, 0.0
 3, 3, 3, 3, 1.0, 1.0
-22, 6, 6, 15, 1.0, 0.4375
+22, 6, 6, 14, 1.0, 0.5
 7, 4, 4, 4, 1.0, 1.0
 5, 4, 4, 4, 1.0, 1.0
 5, 4, 4, 4, 1.0, 1.0
 7, 6, 6, 6, 1.0, 1.0
-43, 29, 33, 41, 0.7142857142857143, 0.14285714285714285
-57, 38, 41, 57, 0.8421052631578947, 0.0
+43, 29, 32, 43, 0.7857142857142857, 0.0
+57, 38, 40, 46, 0.8947368421052632, 0.5789473684210527
 42, 40, 40, 42, 1.0, 0.0
 47, 15, 25, 47, 0.6875, 0.0
-5, 4, 4, 4, 1.0, 1.0
+5, 4, 4, 5, 1.0, 0.0
 22, 18, 18, 22, 1.0, 0.0
 21, 15, 15, 21, 1.0, 0.0
 19, 14, 14, 19, 1.0, 0.0
@@ -471,9 +468,9 @@ initial states, final states, incremental states, naive states, incremental perc
 36, 28, 28, 36, 1.0, 0.0
 18, 15, 15, 18, 1.0, 0.0
 16, 14, 14, 16, 1.0, 0.0
-9, 7, 7, 7, 1.0, 1.0
+9, 7, 7, 9, 1.0, 0.0
 16, 16, 16, 16, 1.0, 1.0
-4, 3, 3, 3, 1.0, 1.0
+4, 3, 3, 4, 1.0, 0.0
 8, 8, 8, 8, 1.0, 1.0
 4, 3, 3, 3, 1.0, 1.0
 4, 3, 3, 3, 1.0, 1.0
@@ -488,32 +485,37 @@ initial states, final states, incremental states, naive states, incremental perc
 17, 17, 17, 17, 1.0, 1.0
 18, 18, 18, 18, 1.0, 1.0
 21, 21, 21, 21, 1.0, 1.0
-42, 27, 28, 35, 0.9333333333333333, 0.4666666666666667
+42, 27, 27, 42, 1.0, 0.0
 4, 4, 4, 4, 1.0, 1.0
 24, 12, 12, 24, 1.0, 0.0
 6, 4, 4, 4, 1.0, 1.0
-10, 9, 9, 9, 1.0, 1.0
+10, 9, 9, 10, 1.0, 0.0
 10, 9, 9, 10, 1.0, 0.0
 10, 9, 9, 10, 1.0, 0.0
 10, 9, 9, 10, 1.0, 0.0
 11, 10, 10, 11, 1.0, 0.0
-10, 9, 9, 9, 1.0, 1.0
+10, 9, 9, 10, 1.0, 0.0
 15, 14, 14, 15, 1.0, 0.0
 5, 4, 4, 4, 1.0, 1.0
 6, 4, 4, 6, 1.0, 0.0
+289, 147, 289, 289, 0.0, 0.0
+7, 4, 4, 7, 1.0, 0.0
+7, 5, 5, 5, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
-58, 28, 50, 58, 0.26666666666666666, 0.0
+31, 15, 23, 31, 0.5, 0.0
+42, 24, 26, 42, 0.8888888888888888, 0.0
+58, 28, 52, 58, 0.2, 0.0
 20, 12, 12, 20, 1.0, 0.0
 8, 6, 6, 8, 1.0, 0.0
 6, 5, 5, 5, 1.0, 1.0
-34, 15, 23, 34, 0.5789473684210527, 0.0
+34, 15, 20, 34, 0.7368421052631579, 0.0
 5, 4, 4, 4, 1.0, 1.0
 5, 4, 4, 4, 1.0, 1.0
 50, 9, 9, 50, 1.0, 0.0
-26, 17, 17, 26, 1.0, 0.0
+26, 17, 19, 26, 0.7777777777777778, 0.0
 6, 5, 5, 5, 1.0, 1.0
 20, 13, 13, 20, 1.0, 0.0
-112, 61, 109, 112, 0.058823529411764705, 0.0
+112, 61, 107, 112, 0.09803921568627451, 0.0
 1, 1, 1, 1, 1.0, 1.0
 13, 11, 11, 13, 1.0, 0.0
 8, 7, 7, 8, 1.0, 0.0
@@ -527,51 +529,51 @@ initial states, final states, incremental states, naive states, incremental perc
 20, 10, 10, 20, 1.0, 0.0
 40, 16, 16, 40, 1.0, 0.0
 64, 18, 18, 64, 1.0, 0.0
-88, 59, 80, 88, 0.27586206896551724, 0.0
+88, 59, 79, 88, 0.3103448275862069, 0.0
 26, 15, 15, 26, 1.0, 0.0
 39, 28, 31, 39, 0.7272727272727273, 0.0
 12, 10, 10, 12, 1.0, 0.0
 89, 68, 79, 89, 0.47619047619047616, 0.0
 9, 8, 8, 9, 1.0, 0.0
 9, 8, 8, 9, 1.0, 0.0
-12, 11, 11, 11, 1.0, 1.0
-32, 18, 18, 32, 1.0, 0.0
-11, 10, 10, 11, 1.0, 0.0
+12, 11, 11, 12, 1.0, 0.0
+1342, 16, 980, 1342, 0.2730015082956259, 0.0
+41, 33, 38, 41, 0.375, 0.0
+86, 52, 77, 86, 0.2647058823529412, 0.0
 87, 67, 77, 87, 0.5, 0.0
 98, 28, 28, 98, 1.0, 0.0
 82, 82, 82, 82, 1.0, 1.0
-150, 28, 54, 150, 0.7868852459016393, 0.0
+150, 28, 53, 150, 0.7950819672131147, 0.0
 33, 33, 33, 33, 1.0, 1.0
-269, 50, 182, 269, 0.3972602739726027, 0.0
+269, 50, 149, 269, 0.547945205479452, 0.0
 19, 18, 18, 19, 1.0, 0.0
 28, 18, 18, 28, 1.0, 0.0
 21, 19, 19, 21, 1.0, 0.0
 77, 36, 36, 77, 1.0, 0.0
 44, 32, 32, 44, 1.0, 0.0
 28, 23, 23, 28, 1.0, 0.0
-18, 17, 17, 18, 1.0, 0.0
+18, 17, 17, 17, 1.0, 1.0
 19, 17, 17, 19, 1.0, 0.0
 5, 4, 4, 4, 1.0, 1.0
 8, 7, 7, 7, 1.0, 1.0
 6, 6, 6, 6, 1.0, 1.0
-51, 46, 46, 48, 1.0, 0.6
-90, 90, 90, 90, 1.0, 1.0
+51, 46, 46, 46, 1.0, 1.0
 78, 78, 78, 78, 1.0, 1.0
 45, 43, 43, 43, 1.0, 1.0
-51, 46, 46, 46, 1.0, 1.0
+51, 46, 46, 49, 1.0, 0.4
 47, 44, 44, 44, 1.0, 1.0
 144, 93, 126, 144, 0.35294117647058826, 0.0
-236, 61, 205, 236, 0.17714285714285713, 0.0
+236, 61, 201, 236, 0.2, 0.0
 51, 46, 46, 46, 1.0, 1.0
 11, 10, 10, 11, 1.0, 0.0
 58, 54, 54, 54, 1.0, 1.0
-11, 8, 8, 8, 1.0, 1.0
+11, 8, 8, 11, 1.0, 0.0
 127, 127, 127, 127, 1.0, 1.0
 60, 55, 55, 55, 1.0, 1.0
 23, 20, 20, 23, 1.0, 0.0
 117, 117, 117, 117, 1.0, 1.0
 51, 46, 46, 46, 1.0, 1.0
-51, 46, 46, 47, 1.0, 0.8
+51, 46, 46, 46, 1.0, 1.0
 96, 96, 96, 96, 1.0, 1.0
 80, 80, 80, 80, 1.0, 1.0
 253, 253, 253, 253, 1.0, 1.0
@@ -583,7 +585,7 @@ initial states, final states, incremental states, naive states, incremental perc
 3, 3, 3, 3, 1.0, 1.0
 23, 22, 22, 23, 1.0, 0.0
 3, 2, 2, 2, 1.0, 1.0
-88, 87, 87, 88, 1.0, 0.0
+88, 87, 87, 87, 1.0, 1.0
 50, 49, 50, 50, 0.0, 0.0
 5, 4, 4, 4, 1.0, 1.0
 11, 5, 5, 10, 1.0, 0.16666666666666666
@@ -592,23 +594,23 @@ initial states, final states, incremental states, naive states, incremental perc
 14, 14, 14, 14, 1.0, 1.0
 49, 49, 49, 49, 1.0, 1.0
 3, 3, 3, 3, 1.0, 1.0
-16, 12, 12, 16, 1.0, 0.0
-15, 9, 9, 10, 1.0, 0.8333333333333334
-9, 8, 8, 8, 1.0, 1.0
-21, 17, 17, 20, 1.0, 0.25
+16, 12, 12, 13, 1.0, 0.75
+15, 9, 9, 9, 1.0, 1.0
+9, 8, 8, 9, 1.0, 0.0
+21, 17, 17, 21, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
 64, 41, 41, 64, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
 7, 6, 6, 6, 1.0, 1.0
 13, 13, 13, 13, 1.0, 1.0
 3, 3, 3, 3, 1.0, 1.0
-7, 5, 5, 5, 1.0, 1.0
+7, 5, 5, 7, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
 7, 4, 4, 4, 1.0, 1.0
 6, 6, 6, 6, 1.0, 1.0
-30, 22, 22, 23, 1.0, 0.875
+30, 22, 22, 29, 1.0, 0.125
 17, 17, 17, 17, 1.0, 1.0
-66, 61, 63, 65, 0.6, 0.2
+66, 61, 63, 66, 0.6, 0.0
 15, 15, 15, 15, 1.0, 1.0
 20, 14, 14, 14, 1.0, 1.0
 10, 10, 10, 10, 1.0, 1.0
@@ -616,20 +618,20 @@ initial states, final states, incremental states, naive states, incremental perc
 9, 8, 8, 8, 1.0, 1.0
 13, 13, 13, 13, 1.0, 1.0
 4, 3, 3, 3, 1.0, 1.0
-27, 16, 16, 19, 1.0, 0.7272727272727273
-79, 31, 51, 79, 0.5833333333333334, 0.0
+27, 16, 16, 16, 1.0, 1.0
+79, 31, 49, 79, 0.625, 0.0
 8, 6, 6, 6, 1.0, 1.0
 6, 5, 5, 6, 1.0, 0.0
 15, 15, 15, 15, 1.0, 1.0
 10, 10, 10, 10, 1.0, 1.0
 4, 4, 4, 4, 1.0, 1.0
 11, 10, 10, 11, 1.0, 0.0
-6, 5, 5, 5, 1.0, 1.0
+6, 5, 5, 6, 1.0, 0.0
 6, 5, 5, 6, 1.0, 0.0
 22, 20, 20, 20, 1.0, 1.0
 9, 7, 7, 7, 1.0, 1.0
 5, 4, 4, 4, 1.0, 1.0
-18, 5, 5, 18, 1.0, 0.0
+18, 5, 5, 12, 1.0, 0.46153846153846156
 4, 3, 3, 3, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
@@ -642,34 +644,29 @@ initial states, final states, incremental states, naive states, incremental perc
 9, 9, 9, 9, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 7, 4, 4, 4, 1.0, 1.0
-56, 36, 39, 56, 0.85, 0.0
-44, 40, 40, 43, 1.0, 0.25
+56, 36, 42, 53, 0.7, 0.15
+44, 40, 40, 44, 1.0, 0.0
 25, 18, 18, 25, 1.0, 0.0
 3, 3, 3, 3, 1.0, 1.0
-41, 30, 31, 41, 0.9090909090909091, 0.0
+41, 30, 32, 41, 0.8181818181818182, 0.0
 4, 3, 3, 3, 1.0, 1.0
-3, 2, 2, 2, 1.0, 1.0
+3, 2, 2, 3, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
-88, 28, 49, 88, 0.65, 0.0
+88, 28, 45, 88, 0.7166666666666667, 0.0
 4, 3, 3, 3, 1.0, 1.0
-7, 5, 5, 5, 1.0, 1.0
-14, 5, 5, 5, 1.0, 1.0
-11, 7, 7, 7, 1.0, 1.0
+7, 5, 5, 7, 1.0, 0.0
+14, 5, 5, 8, 1.0, 0.6666666666666666
+11, 7, 7, 10, 1.0, 0.25
 1, 1, 1, 1, 1.0, 1.0
-31, 19, 20, 31, 0.9166666666666666, 0.0
+31, 19, 22, 31, 0.75, 0.0
 3, 3, 3, 3, 1.0, 1.0
 3, 3, 3, 3, 1.0, 1.0
 3, 3, 3, 3, 1.0, 1.0
 3, 3, 3, 3, 1.0, 1.0
 3, 3, 3, 3, 1.0, 1.0
-6, 4, 4, 6, 1.0, 0.0
-68, 47, 54, 63, 0.6666666666666666, 0.23809523809523808
-4, 3, 3, 3, 1.0, 1.0
 3, 3, 3, 3, 1.0, 1.0
 3, 3, 3, 3, 1.0, 1.0
-12, 10, 10, 11, 1.0, 0.5
-4, 3, 3, 3, 1.0, 1.0
-9, 5, 5, 5, 1.0, 1.0
+9, 5, 5, 9, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
 3, 3, 3, 3, 1.0, 1.0
 38, 38, 38, 38, 1.0, 1.0
@@ -678,7 +675,7 @@ initial states, final states, incremental states, naive states, incremental perc
 13, 13, 13, 13, 1.0, 1.0
 3, 3, 3, 3, 1.0, 1.0
 3, 2, 2, 2, 1.0, 1.0
-52, 13, 24, 52, 0.717948717948718, 0.0
+52, 13, 30, 52, 0.5641025641025641, 0.0
 5, 3, 3, 3, 1.0, 1.0
 8, 6, 6, 6, 1.0, 1.0
 34, 34, 34, 34, 1.0, 1.0
@@ -689,14 +686,14 @@ initial states, final states, incremental states, naive states, incremental perc
 1, 1, 1, 1, 1.0, 1.0
 52, 17, 17, 52, 1.0, 0.0
 18, 13, 13, 18, 1.0, 0.0
-12, 8, 8, 10, 1.0, 0.5
+12, 8, 8, 12, 1.0, 0.0
 4, 4, 4, 4, 1.0, 1.0
 10, 6, 6, 10, 1.0, 0.0
 19, 15, 15, 19, 1.0, 0.0
 12, 11, 11, 12, 1.0, 0.0
 12, 11, 11, 12, 1.0, 0.0
 26, 22, 22, 26, 1.0, 0.0
-47, 32, 34, 47, 0.8666666666666667, 0.0
+47, 32, 33, 47, 0.9333333333333333, 0.0
 27, 27, 27, 27, 1.0, 1.0
 19, 19, 19, 19, 1.0, 1.0
 18, 18, 18, 18, 1.0, 1.0
@@ -704,23 +701,28 @@ initial states, final states, incremental states, naive states, incremental perc
 20, 20, 20, 20, 1.0, 1.0
 22, 22, 22, 22, 1.0, 1.0
 11, 10, 10, 11, 1.0, 0.0
-4, 2, 2, 3, 1.0, 0.5
+4, 2, 2, 2, 1.0, 1.0
 8, 7, 7, 8, 1.0, 0.0
 5, 5, 5, 5, 1.0, 1.0
-639, 250, 638, 639, 0.002570694087403599, 0.0
+639, 250, 637, 639, 0.005141388174807198, 0.0
 35, 32, 32, 35, 1.0, 0.0
 21, 19, 19, 21, 1.0, 0.0
-8, 5, 5, 5, 1.0, 1.0
+8, 5, 5, 8, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 49, 48, 49, 49, 0.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
 3, 3, 3, 3, 1.0, 1.0
-45, 33, 34, 45, 0.9166666666666666, 0.0
+12, 6, 6, 12, 1.0, 0.0
+51, 22, 22, 51, 1.0, 0.0
+9, 7, 7, 9, 1.0, 0.0
+16, 10, 10, 16, 1.0, 0.0
+4, 4, 4, 4, 1.0, 1.0
+45, 33, 33, 45, 1.0, 0.0
 18, 18, 18, 18, 1.0, 1.0
 7, 5, 5, 5, 1.0, 1.0
 9, 5, 5, 7, 1.0, 0.5
-9, 7, 7, 7, 1.0, 1.0
+9, 7, 7, 8, 1.0, 0.5
 11, 8, 8, 11, 1.0, 0.0
 5, 4, 4, 4, 1.0, 1.0
 17, 17, 17, 17, 1.0, 1.0
@@ -737,21 +739,21 @@ initial states, final states, incremental states, naive states, incremental perc
 12, 12, 12, 12, 1.0, 1.0
 14, 14, 14, 14, 1.0, 1.0
 21, 21, 21, 21, 1.0, 1.0
-32, 20, 20, 21, 1.0, 0.9166666666666666
+32, 20, 20, 20, 1.0, 1.0
 20, 20, 20, 20, 1.0, 1.0
 36, 34, 36, 36, 0.0, 0.0
 11, 11, 11, 11, 1.0, 1.0
 8, 8, 8, 8, 1.0, 1.0
-16, 7, 7, 15, 1.0, 0.1111111111111111
+16, 7, 7, 16, 1.0, 0.0
 3, 2, 2, 2, 1.0, 1.0
 2, 1, 1, 1, 1.0, 1.0
-22, 7, 7, 22, 1.0, 0.0
-44, 8, 8, 44, 1.0, 0.0
+22, 7, 7, 17, 1.0, 0.3333333333333333
+44, 8, 8, 39, 1.0, 0.1388888888888889
 10, 7, 7, 8, 1.0, 0.6666666666666666
 1, 1, 1, 1, 1.0, 1.0
-35, 16, 22, 35, 0.6842105263157895, 0.0
+35, 16, 19, 35, 0.8421052631578947, 0.0
 257, 257, 257, 257, 1.0, 1.0
-22, 21, 21, 22, 1.0, 0.0
+22, 21, 21, 21, 1.0, 1.0
 5, 5, 5, 5, 1.0, 1.0
 13, 12, 12, 13, 1.0, 0.0
 40, 40, 40, 40, 1.0, 1.0
@@ -764,223 +766,223 @@ initial states, final states, incremental states, naive states, incremental perc
 6, 5, 5, 5, 1.0, 1.0
 9, 9, 9, 9, 1.0, 1.0
 9, 9, 9, 9, 1.0, 1.0
-21, 9, 9, 17, 1.0, 0.3333333333333333
+21, 9, 9, 19, 1.0, 0.16666666666666666
 109, 91, 108, 109, 0.05555555555555555, 0.0
-14, 9, 9, 13, 1.0, 0.2
+14, 9, 9, 14, 1.0, 0.0
 9, 9, 9, 9, 1.0, 1.0
-464, 230, 458, 464, 0.02564102564102564, 0.0
+464, 230, 464, 464, 0.0, 0.0
 53, 34, 42, 53, 0.5789473684210527, 0.0
 109, 54, 106, 109, 0.05454545454545454, 0.0
 66, 49, 51, 66, 0.8823529411764706, 0.0
-119, 63, 116, 119, 0.05357142857142857, 0.0
+119, 63, 111, 119, 0.14285714285714285, 0.0
 63, 50, 52, 63, 0.8461538461538461, 0.0
-68, 36, 55, 68, 0.40625, 0.0
-42, 32, 33, 42, 0.9, 0.0
-49, 39, 41, 49, 0.8, 0.0
+68, 36, 54, 68, 0.4375, 0.0
 42, 32, 32, 42, 1.0, 0.0
-52, 34, 37, 52, 0.8333333333333334, 0.0
+49, 39, 43, 49, 0.6, 0.0
+42, 32, 34, 42, 0.8, 0.0
+52, 34, 39, 52, 0.7222222222222222, 0.0
 58, 41, 43, 58, 0.8823529411764706, 0.0
 48, 34, 37, 48, 0.7857142857142857, 0.0
-91, 52, 86, 91, 0.1282051282051282, 0.0
-67, 45, 60, 67, 0.3181818181818182, 0.0
-57, 34, 42, 57, 0.6521739130434783, 0.0
-67, 41, 56, 67, 0.4230769230769231, 0.0
-109, 55, 76, 109, 0.6111111111111112, 0.0
-94, 20, 72, 94, 0.2972972972972973, 0.0
-86, 52, 74, 86, 0.35294117647058826, 0.0
-134, 44, 105, 134, 0.32222222222222224, 0.0
-70, 31, 60, 70, 0.2564102564102564, 0.0
-78, 32, 68, 78, 0.21739130434782608, 0.0
+91, 52, 85, 91, 0.15384615384615385, 0.0
+67, 45, 45, 48, 1.0, 0.8636363636363636
+57, 34, 44, 54, 0.5652173913043478, 0.13043478260869565
+67, 41, 58, 67, 0.34615384615384615, 0.0
+109, 55, 76, 91, 0.6111111111111112, 0.3333333333333333
+94, 20, 70, 94, 0.32432432432432434, 0.0
+86, 52, 73, 86, 0.38235294117647056, 0.0
+134, 44, 106, 131, 0.3111111111111111, 0.03333333333333333
+70, 31, 59, 70, 0.28205128205128205, 0.0
+78, 32, 64, 73, 0.30434782608695654, 0.10869565217391304
 80, 32, 54, 80, 0.5416666666666666, 0.0
 32, 23, 23, 32, 1.0, 0.0
-42, 28, 30, 42, 0.8571428571428571, 0.0
-27, 19, 19, 24, 1.0, 0.375
-118, 43, 99, 118, 0.25333333333333335, 0.0
+42, 28, 28, 42, 1.0, 0.0
+27, 19, 19, 27, 1.0, 0.0
+118, 43, 97, 118, 0.28, 0.0
 48, 31, 39, 48, 0.5294117647058824, 0.0
 48, 31, 40, 48, 0.47058823529411764, 0.0
-87, 22, 32, 87, 0.8461538461538461, 0.0
-72, 44, 57, 72, 0.5357142857142857, 0.0
-75, 47, 61, 75, 0.5, 0.0
-78, 65, 76, 78, 0.15384615384615385, 0.0
-64, 40, 44, 64, 0.8333333333333334, 0.0
+87, 22, 34, 87, 0.8153846153846154, 0.0
+72, 44, 58, 72, 0.5, 0.0
+75, 47, 62, 75, 0.4642857142857143, 0.0
+78, 65, 73, 78, 0.38461538461538464, 0.0
+64, 40, 47, 64, 0.7083333333333334, 0.0
 57, 27, 34, 57, 0.7666666666666667, 0.0
-48, 32, 36, 48, 0.75, 0.0
+48, 32, 35, 48, 0.8125, 0.0
 52, 37, 43, 52, 0.6, 0.0
-77, 37, 58, 77, 0.475, 0.0
+77, 37, 59, 77, 0.45, 0.0
 82, 40, 63, 82, 0.4523809523809524, 0.0
 78, 37, 60, 78, 0.43902439024390244, 0.0
-11, 8, 8, 9, 1.0, 0.6666666666666666
+11, 8, 8, 11, 1.0, 0.0
 32, 27, 27, 32, 1.0, 0.0
 44, 30, 30, 44, 1.0, 0.0
-72, 36, 56, 72, 0.4444444444444444, 0.0
-75, 37, 58, 75, 0.4473684210526316, 0.0
-75, 37, 57, 75, 0.47368421052631576, 0.0
+72, 36, 55, 72, 0.4722222222222222, 0.0
 75, 37, 59, 75, 0.42105263157894735, 0.0
-50, 28, 30, 50, 0.9090909090909091, 0.0
-65, 30, 54, 65, 0.3142857142857143, 0.0
+75, 37, 57, 75, 0.47368421052631576, 0.0
+75, 37, 57, 75, 0.47368421052631576, 0.0
+50, 28, 30, 47, 0.9090909090909091, 0.13636363636363635
+65, 30, 52, 65, 0.37142857142857144, 0.0
 33, 30, 30, 33, 1.0, 0.0
-80, 43, 68, 70, 0.32432432432432434, 0.2702702702702703
+80, 43, 68, 71, 0.32432432432432434, 0.24324324324324326
 59, 29, 42, 59, 0.5666666666666667, 0.0
 49, 34, 41, 49, 0.5333333333333333, 0.0
 52, 35, 44, 52, 0.47058823529411764, 0.0
 80, 55, 74, 80, 0.24, 0.0
 52, 35, 44, 52, 0.47058823529411764, 0.0
 43, 33, 33, 43, 1.0, 0.0
-97, 40, 88, 97, 0.15789473684210525, 0.0
-17, 10, 10, 16, 1.0, 0.14285714285714285
-79, 33, 58, 79, 0.45652173913043476, 0.0
-44, 28, 32, 44, 0.75, 0.0
+97, 40, 87, 93, 0.17543859649122806, 0.07017543859649122
+17, 10, 10, 17, 1.0, 0.0
+79, 33, 62, 79, 0.3695652173913043, 0.0
+44, 28, 33, 44, 0.6875, 0.0
 18, 7, 7, 18, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
 13, 11, 11, 13, 1.0, 0.0
-43, 17, 29, 43, 0.5384615384615384, 0.0
+43, 17, 28, 43, 0.5769230769230769, 0.0
 39, 21, 25, 39, 0.7777777777777778, 0.0
 108, 23, 77, 108, 0.36470588235294116, 0.0
-927, 65, 868, 873, 0.06844547563805105, 0.06264501160092807
+927, 65, 927, 927, 0.0, 0.0
 21, 16, 16, 21, 1.0, 0.0
 5, 5, 5, 5, 1.0, 1.0
 27, 26, 26, 27, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
-100, 22, 64, 100, 0.46153846153846156, 0.0
+100, 22, 65, 87, 0.44871794871794873, 0.16666666666666666
 53, 14, 23, 53, 0.7692307692307693, 0.0
 25, 20, 20, 25, 1.0, 0.0
-22, 17, 18, 22, 0.8, 0.0
-45, 34, 39, 45, 0.5454545454545454, 0.0
-63, 41, 46, 63, 0.7727272727272727, 0.0
+22, 17, 17, 22, 1.0, 0.0
+45, 34, 38, 45, 0.6363636363636364, 0.0
+63, 41, 44, 63, 0.8636363636363636, 0.0
 164, 67, 149, 164, 0.15463917525773196, 0.0
-79, 52, 65, 79, 0.5185185185185185, 0.0
-18, 17, 17, 18, 1.0, 0.0
-51, 31, 38, 51, 0.65, 0.0
+79, 52, 68, 79, 0.4074074074074074, 0.0
+18, 17, 17, 17, 1.0, 1.0
+51, 31, 37, 51, 0.7, 0.0
 19, 7, 7, 19, 1.0, 0.0
 11, 7, 7, 11, 1.0, 0.0
 15, 12, 12, 12, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
-89, 50, 69, 89, 0.5128205128205128, 0.0
+89, 50, 65, 89, 0.6153846153846154, 0.0
 1, 1, 1, 1, 1.0, 1.0
-12, 10, 10, 11, 1.0, 0.5
+12, 10, 10, 12, 1.0, 0.0
 79, 52, 72, 79, 0.25925925925925924, 0.0
 1, 1, 1, 1, 1.0, 1.0
 1119, 401, 1119, 1119, 0.0, 0.0
-60, 29, 48, 60, 0.3870967741935484, 0.0
-12, 10, 10, 12, 1.0, 0.0
+60, 29, 47, 57, 0.41935483870967744, 0.0967741935483871
+12, 10, 10, 11, 1.0, 0.5
 11, 9, 9, 10, 1.0, 0.5
-45, 13, 13, 13, 1.0, 1.0
+45, 13, 24, 29, 0.65625, 0.5
 6, 5, 5, 5, 1.0, 1.0
-10, 6, 6, 9, 1.0, 0.25
+10, 6, 6, 10, 1.0, 0.0
 26, 14, 14, 26, 1.0, 0.0
 15, 14, 14, 15, 1.0, 0.0
-13, 10, 10, 13, 1.0, 0.0
-296, 32, 277, 290, 0.07196969696969698, 0.022727272727272728
-51, 20, 31, 51, 0.6451612903225806, 0.0
-51, 32, 38, 51, 0.6842105263157895, 0.0
-37, 21, 26, 37, 0.6875, 0.0
+13, 10, 10, 11, 1.0, 0.6666666666666666
+296, 32, 272, 287, 0.09090909090909091, 0.03409090909090909
+51, 20, 29, 51, 0.7096774193548387, 0.0
+51, 32, 37, 48, 0.7368421052631579, 0.15789473684210525
+37, 21, 24, 37, 0.8125, 0.0
 23, 14, 14, 23, 1.0, 0.0
 6, 5, 5, 5, 1.0, 1.0
 11, 8, 8, 10, 1.0, 0.3333333333333333
-20, 15, 15, 16, 1.0, 0.8
-9, 8, 8, 8, 1.0, 1.0
+20, 15, 15, 20, 1.0, 0.0
+9, 8, 8, 9, 1.0, 0.0
 11, 10, 10, 10, 1.0, 1.0
-12, 10, 10, 10, 1.0, 1.0
-57, 29, 34, 55, 0.8214285714285714, 0.07142857142857142
+12, 10, 10, 12, 1.0, 0.0
+57, 29, 36, 57, 0.75, 0.0
 70, 36, 53, 70, 0.5, 0.0
-19, 12, 12, 15, 1.0, 0.5714285714285714
+19, 12, 12, 18, 1.0, 0.14285714285714285
 282, 92, 240, 282, 0.22105263157894736, 0.0
 13, 7, 7, 11, 1.0, 0.3333333333333333
 5, 5, 5, 5, 1.0, 1.0
-172, 85, 169, 172, 0.034482758620689655, 0.0
-14, 10, 10, 12, 1.0, 0.5
+172, 85, 163, 172, 0.10344827586206896, 0.0
+14, 10, 10, 14, 1.0, 0.0
 18, 16, 16, 18, 1.0, 0.0
 22, 18, 18, 22, 1.0, 0.0
-24, 16, 16, 22, 1.0, 0.25
+24, 16, 16, 24, 1.0, 0.0
 14, 13, 13, 14, 1.0, 0.0
 52, 39, 45, 52, 0.5384615384615384, 0.0
 43, 29, 29, 39, 1.0, 0.2857142857142857
-37, 25, 29, 34, 0.6666666666666666, 0.25
-51, 29, 39, 51, 0.5454545454545454, 0.0
+37, 25, 27, 37, 0.8333333333333334, 0.0
+51, 29, 41, 49, 0.45454545454545453, 0.09090909090909091
 49, 35, 40, 49, 0.6428571428571429, 0.0
-60, 32, 40, 60, 0.7142857142857143, 0.0
-37, 25, 28, 34, 0.75, 0.25
-66, 35, 53, 66, 0.41935483870967744, 0.0
+60, 32, 43, 59, 0.6071428571428571, 0.03571428571428571
+37, 25, 28, 37, 0.75, 0.0
+66, 35, 55, 65, 0.3548387096774194, 0.03225806451612903
 44, 35, 35, 44, 1.0, 0.0
-21, 19, 19, 19, 1.0, 1.0
-24, 21, 21, 23, 1.0, 0.3333333333333333
+21, 19, 19, 21, 1.0, 0.0
+24, 21, 21, 24, 1.0, 0.0
 24, 21, 21, 24, 1.0, 0.0
 29, 21, 21, 29, 1.0, 0.0
-54, 42, 46, 54, 0.6666666666666666, 0.0
-50, 38, 39, 50, 0.9166666666666666, 0.0
+54, 42, 44, 54, 0.8333333333333334, 0.0
+50, 38, 40, 50, 0.8333333333333334, 0.0
 42, 42, 42, 42, 1.0, 1.0
-103, 58, 83, 103, 0.4444444444444444, 0.0
+103, 58, 86, 103, 0.37777777777777777, 0.0
 29, 23, 23, 29, 1.0, 0.0
 80, 21, 22, 80, 0.9830508474576272, 0.0
 48, 23, 24, 48, 0.96, 0.0
-41, 21, 22, 41, 0.95, 0.0
+41, 21, 21, 41, 1.0, 0.0
 40, 19, 22, 40, 0.8571428571428571, 0.0
-66, 32, 46, 66, 0.5882352941176471, 0.0
+66, 32, 45, 66, 0.6176470588235294, 0.0
 44, 26, 26, 44, 1.0, 0.0
 41, 34, 34, 41, 1.0, 0.0
-775, 203, 763, 775, 0.02097902097902098, 0.0
+775, 203, 764, 775, 0.019230769230769232, 0.0
 45, 23, 32, 45, 0.5909090909090909, 0.0
 15, 14, 14, 15, 1.0, 0.0
-41, 22, 22, 40, 1.0, 0.05263157894736842
-23, 22, 22, 22, 1.0, 1.0
+41, 22, 22, 41, 1.0, 0.0
+23, 22, 22, 23, 1.0, 0.0
 17, 16, 16, 17, 1.0, 0.0
 43, 36, 36, 43, 1.0, 0.0
 18, 14, 14, 18, 1.0, 0.0
 12, 11, 11, 12, 1.0, 0.0
-9, 8, 8, 8, 1.0, 1.0
+9, 8, 8, 9, 1.0, 0.0
 21, 18, 18, 21, 1.0, 0.0
 4, 4, 4, 4, 1.0, 1.0
-37, 13, 13, 14, 1.0, 0.9583333333333334
-11, 8, 8, 8, 1.0, 1.0
-12, 10, 10, 10, 1.0, 1.0
-21, 15, 15, 18, 1.0, 0.5
+37, 13, 13, 25, 1.0, 0.5
+11, 8, 8, 11, 1.0, 0.0
+12, 10, 10, 12, 1.0, 0.0
+21, 15, 15, 21, 1.0, 0.0
 43, 30, 32, 43, 0.8461538461538461, 0.0
 19, 14, 14, 19, 1.0, 0.0
 2, 2, 2, 2, 1.0, 1.0
 13, 11, 11, 11, 1.0, 1.0
-37, 27, 27, 33, 1.0, 0.4
+37, 27, 27, 32, 1.0, 0.5
 10, 9, 9, 9, 1.0, 1.0
 17, 17, 17, 17, 1.0, 1.0
 7, 7, 7, 7, 1.0, 1.0
-41, 25, 30, 41, 0.6875, 0.0
-10, 7, 7, 9, 1.0, 0.3333333333333333
+41, 25, 30, 39, 0.6875, 0.125
+10, 7, 7, 8, 1.0, 0.6666666666666666
 12, 12, 12, 12, 1.0, 1.0
-10, 8, 8, 10, 1.0, 0.0
+10, 8, 8, 9, 1.0, 0.5
 19, 16, 16, 17, 1.0, 0.6666666666666666
-9, 8, 8, 9, 1.0, 0.0
-37, 29, 31, 37, 0.75, 0.0
 9, 8, 8, 8, 1.0, 1.0
+37, 29, 30, 37, 0.875, 0.0
+9, 8, 8, 9, 1.0, 0.0
 37, 28, 28, 37, 1.0, 0.0
-15, 10, 10, 15, 1.0, 0.0
+15, 10, 10, 13, 1.0, 0.4
 27, 24, 24, 27, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
-13, 11, 11, 13, 1.0, 0.0
+13, 11, 11, 12, 1.0, 0.5
 16, 13, 13, 13, 1.0, 1.0
-21, 15, 15, 20, 1.0, 0.16666666666666666
-697, 66, 679, 686, 0.028526148969889066, 0.017432646592709985
+21, 15, 15, 17, 1.0, 0.6666666666666666
+697, 66, 697, 697, 0.0, 0.0
 15, 6, 6, 9, 1.0, 0.6666666666666666
-137, 49, 104, 137, 0.375, 0.0
+137, 49, 102, 129, 0.3977272727272727, 0.09090909090909091
 13, 9, 9, 9, 1.0, 1.0
-20, 7, 7, 11, 1.0, 0.6923076923076923
+20, 7, 7, 18, 1.0, 0.15384615384615385
 12, 9, 9, 12, 1.0, 0.0
-15, 10, 10, 14, 1.0, 0.2
+15, 10, 10, 15, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 42, 30, 33, 42, 0.75, 0.0
 20, 16, 16, 19, 1.0, 0.25
-8, 5, 5, 7, 1.0, 0.3333333333333333
+8, 5, 5, 8, 1.0, 0.0
 11, 11, 11, 11, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 80, 77, 80, 80, 0.0, 0.0
 87, 80, 87, 87, 0.0, 0.0
 86, 18, 62, 74, 0.35294117647058826, 0.17647058823529413
 1, 1, 1, 1, 1.0, 1.0
-16, 9, 9, 16, 1.0, 0.0
-32, 22, 22, 26, 1.0, 0.6
+16, 9, 9, 15, 1.0, 0.14285714285714285
+32, 22, 22, 22, 1.0, 1.0
 150, 79, 150, 150, 0.0, 0.0
 19, 19, 19, 19, 1.0, 1.0
 199, 61, 158, 199, 0.2971014492753623, 0.0
-105, 10, 18, 66, 0.9157894736842105, 0.4105263157894737
+105, 10, 18, 42, 0.9157894736842105, 0.6631578947368421
 11, 5, 5, 5, 1.0, 1.0
 30, 11, 11, 30, 1.0, 0.0
 22, 15, 15, 22, 1.0, 0.0
@@ -990,24 +992,24 @@ initial states, final states, incremental states, naive states, incremental perc
 32, 14, 14, 32, 1.0, 0.0
 13, 8, 8, 13, 1.0, 0.0
 7, 3, 3, 6, 1.0, 0.25
-17, 7, 7, 17, 1.0, 0.0
+17, 7, 17, 17, 0.0, 0.0
 10, 10, 10, 10, 1.0, 1.0
 9, 9, 9, 9, 1.0, 1.0
-21, 10, 10, 15, 1.0, 0.5454545454545454
+21, 10, 10, 13, 1.0, 0.7272727272727273
 51, 33, 38, 51, 0.7222222222222222, 0.0
-17, 14, 14, 17, 1.0, 0.0
-38, 21, 22, 38, 0.9411764705882353, 0.0
-20, 19, 19, 19, 1.0, 1.0
-55, 33, 37, 54, 0.8181818181818182, 0.045454545454545456
+17, 14, 15, 17, 0.6666666666666666, 0.0
+38, 21, 21, 38, 1.0, 0.0
+20, 19, 19, 20, 1.0, 0.0
+55, 33, 39, 55, 0.7272727272727273, 0.0
 19, 19, 19, 19, 1.0, 1.0
 20, 19, 19, 20, 1.0, 0.0
-34, 17, 17, 23, 1.0, 0.6470588235294118
+34, 17, 17, 20, 1.0, 0.8235294117647058
 27, 26, 26, 27, 1.0, 0.0
 30, 30, 30, 30, 1.0, 1.0
 18, 18, 18, 18, 1.0, 1.0
 16, 16, 16, 16, 1.0, 1.0
 120, 46, 94, 120, 0.35135135135135137, 0.0
-308, 88, 308, 308, 0.0, 0.0
+308, 88, 231, 308, 0.35, 0.0
 1, 1, 1, 1, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 15, 15, 15, 15, 1.0, 1.0
@@ -1020,13 +1022,13 @@ initial states, final states, incremental states, naive states, incremental perc
 9, 2, 2, 3, 1.0, 0.8571428571428571
 8, 5, 5, 8, 1.0, 0.0
 50, 10, 19, 50, 0.775, 0.0
-10, 6, 6, 8, 1.0, 0.5
+10, 6, 6, 6, 1.0, 1.0
 22, 13, 13, 22, 1.0, 0.0
 11, 5, 5, 11, 1.0, 0.0
 51, 46, 46, 47, 1.0, 0.8
 7, 7, 7, 7, 1.0, 1.0
 21, 16, 16, 16, 1.0, 1.0
-45, 22, 33, 43, 0.5217391304347826, 0.08695652173913043
+45, 22, 31, 45, 0.6086956521739131, 0.0
 35, 34, 34, 35, 1.0, 0.0
 5, 5, 5, 5, 1.0, 1.0
 8, 8, 8, 8, 1.0, 1.0
@@ -1034,21 +1036,21 @@ initial states, final states, incremental states, naive states, incremental perc
 9, 8, 8, 8, 1.0, 1.0
 28, 22, 22, 23, 1.0, 0.8333333333333334
 37, 19, 22, 37, 0.8333333333333334, 0.0
-92, 37, 76, 92, 0.2909090909090909, 0.0
-127, 51, 107, 123, 0.2631578947368421, 0.05263157894736842
-130, 49, 116, 130, 0.1728395061728395, 0.0
+92, 37, 68, 90, 0.43636363636363634, 0.03636363636363636
+127, 51, 99, 124, 0.3684210526315789, 0.039473684210526314
+130, 49, 116, 126, 0.1728395061728395, 0.04938271604938271
 22, 19, 19, 19, 1.0, 1.0
-19, 17, 17, 18, 1.0, 0.5
+19, 17, 17, 17, 1.0, 1.0
 19, 17, 17, 17, 1.0, 1.0
 19, 17, 17, 17, 1.0, 1.0
 19, 17, 17, 19, 1.0, 0.0
 19, 18, 18, 18, 1.0, 1.0
-49, 25, 38, 49, 0.4583333333333333, 0.0
-45, 25, 33, 45, 0.6, 0.0
+49, 25, 39, 49, 0.4166666666666667, 0.0
+45, 25, 35, 45, 0.5, 0.0
 1, 1, 1, 1, 1.0, 1.0
 30, 20, 20, 30, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
-27, 13, 16, 27, 0.7857142857142857, 0.0
+27, 13, 13, 27, 1.0, 0.0
 85, 23, 32, 85, 0.8548387096774194, 0.0
 61, 54, 59, 61, 0.2857142857142857, 0.0
 39, 22, 23, 39, 0.9411764705882353, 0.0
@@ -1061,7 +1063,7 @@ initial states, final states, incremental states, naive states, incremental perc
 28, 21, 21, 28, 1.0, 0.0
 10, 8, 8, 8, 1.0, 1.0
 71, 57, 68, 71, 0.21428571428571427, 0.0
-494, 270, 464, 494, 0.13392857142857142, 0.0
+494, 270, 473, 494, 0.09375, 0.0
 14, 14, 14, 14, 1.0, 1.0
 15, 15, 15, 15, 1.0, 1.0
 20, 14, 14, 20, 1.0, 0.0
@@ -1074,127 +1076,127 @@ initial states, final states, incremental states, naive states, incremental perc
 64, 47, 50, 64, 0.8235294117647058, 0.0
 1, 1, 1, 1, 1.0, 1.0
 32, 12, 30, 30, 0.1, 0.1
-10, 3, 3, 7, 1.0, 0.42857142857142855
-342, 52, 312, 326, 0.10344827586206896, 0.05517241379310345
+10, 3, 3, 10, 1.0, 0.0
+342, 52, 309, 328, 0.11379310344827587, 0.04827586206896552
 1, 1, 1, 1, 1.0, 1.0
 7, 3, 3, 3, 1.0, 1.0
 24, 24, 24, 24, 1.0, 1.0
 47, 23, 31, 47, 0.6666666666666666, 0.0
 15, 12, 12, 15, 1.0, 0.0
-13, 12, 12, 13, 1.0, 0.0
-14, 12, 12, 14, 1.0, 0.0
-48, 27, 39, 48, 0.42857142857142855, 0.0
+13, 12, 12, 12, 1.0, 1.0
+14, 12, 12, 12, 1.0, 1.0
+48, 27, 35, 48, 0.6190476190476191, 0.0
 12, 12, 12, 12, 1.0, 1.0
-17, 14, 14, 15, 1.0, 0.6666666666666666
-30, 19, 19, 22, 1.0, 0.7272727272727273
+17, 14, 14, 17, 1.0, 0.0
+30, 19, 19, 23, 1.0, 0.6363636363636364
 6, 5, 5, 5, 1.0, 1.0
-18, 15, 15, 15, 1.0, 1.0
+18, 15, 15, 16, 1.0, 0.6666666666666666
 41, 32, 36, 41, 0.5555555555555556, 0.0
-16, 14, 14, 14, 1.0, 1.0
-22, 18, 18, 21, 1.0, 0.25
-149, 56, 134, 149, 0.16129032258064516, 0.0
+16, 14, 14, 16, 1.0, 0.0
+22, 18, 18, 20, 1.0, 0.5
+149, 56, 133, 149, 0.17204301075268819, 0.0
 33, 28, 28, 33, 1.0, 0.0
-20, 15, 15, 20, 1.0, 0.0
-22, 16, 16, 22, 1.0, 0.0
+20, 15, 15, 17, 1.0, 0.6
+22, 16, 16, 18, 1.0, 0.6666666666666666
 149, 90, 138, 149, 0.1864406779661017, 0.0
-24, 13, 13, 18, 1.0, 0.5454545454545454
+24, 13, 13, 16, 1.0, 0.7272727272727273
 1, 1, 1, 1, 1.0, 1.0
-36, 33, 33, 35, 1.0, 0.3333333333333333
+36, 33, 33, 36, 1.0, 0.0
 14, 12, 12, 14, 1.0, 0.0
 10, 8, 8, 9, 1.0, 0.5
-15, 11, 11, 15, 1.0, 0.0
-22, 14, 14, 19, 1.0, 0.375
+15, 11, 11, 12, 1.0, 0.75
+22, 14, 17, 22, 0.625, 0.0
 68, 30, 58, 68, 0.2631578947368421, 0.0
-6, 3, 3, 6, 1.0, 0.0
-16, 10, 10, 15, 1.0, 0.16666666666666666
+6, 3, 3, 3, 1.0, 1.0
+16, 10, 10, 16, 1.0, 0.0
 44, 20, 30, 44, 0.5833333333333334, 0.0
 19, 18, 18, 19, 1.0, 0.0
 34, 23, 25, 34, 0.8181818181818182, 0.0
 13, 12, 12, 13, 1.0, 0.0
 9, 7, 7, 7, 1.0, 1.0
 13, 9, 9, 13, 1.0, 0.0
-18, 14, 14, 16, 1.0, 0.5
-65, 33, 48, 65, 0.53125, 0.0
-43, 22, 23, 37, 0.9523809523809523, 0.2857142857142857
-22, 16, 16, 22, 1.0, 0.0
+18, 14, 14, 18, 1.0, 0.0
+65, 33, 49, 65, 0.5, 0.0
+43, 22, 23, 43, 0.9523809523809523, 0.0
+22, 16, 16, 21, 1.0, 0.16666666666666666
 33, 33, 33, 33, 1.0, 1.0
 32, 27, 27, 32, 1.0, 0.0
 14, 11, 11, 14, 1.0, 0.0
 6, 5, 5, 5, 1.0, 1.0
-21, 16, 16, 21, 1.0, 0.0
+21, 16, 16, 20, 1.0, 0.2
 44, 35, 35, 44, 1.0, 0.0
 62, 46, 58, 62, 0.25, 0.0
-45, 25, 25, 45, 1.0, 0.0
-11, 7, 7, 8, 1.0, 0.75
+45, 25, 28, 45, 0.85, 0.0
+11, 7, 7, 9, 1.0, 0.5
 16, 11, 11, 16, 1.0, 0.0
 20, 16, 16, 20, 1.0, 0.0
-45, 25, 30, 45, 0.75, 0.0
-53, 33, 45, 48, 0.4, 0.25
+45, 25, 34, 45, 0.55, 0.0
+53, 33, 45, 53, 0.4, 0.0
 12, 11, 11, 12, 1.0, 0.0
 13, 9, 9, 13, 1.0, 0.0
-26, 11, 14, 26, 0.8, 0.0
+26, 11, 18, 26, 0.5333333333333333, 0.0
 16, 16, 16, 16, 1.0, 1.0
 56, 38, 45, 56, 0.6111111111111112, 0.0
 68, 41, 45, 68, 0.8518518518518519, 0.0
 68, 41, 45, 68, 0.8518518518518519, 0.0
-76, 21, 76, 76, 0.0, 0.0
-22, 11, 11, 19, 1.0, 0.2727272727272727
-36, 17, 25, 25, 0.5789473684210527, 0.5789473684210527
-34, 31, 31, 34, 1.0, 0.0
+76, 21, 58, 67, 0.32727272727272727, 0.16363636363636364
+22, 11, 11, 11, 1.0, 1.0
+36, 17, 25, 34, 0.5789473684210527, 0.10526315789473684
+34, 31, 31, 31, 1.0, 1.0
 31, 15, 15, 31, 1.0, 0.0
-22, 11, 11, 18, 1.0, 0.36363636363636365
-17, 16, 16, 16, 1.0, 1.0
+22, 11, 11, 11, 1.0, 1.0
+17, 16, 16, 17, 1.0, 0.0
 159, 66, 135, 159, 0.25806451612903225, 0.0
 20, 12, 12, 20, 1.0, 0.0
 14, 14, 14, 14, 1.0, 1.0
 24, 22, 22, 22, 1.0, 1.0
-15, 14, 14, 14, 1.0, 1.0
+15, 14, 14, 15, 1.0, 0.0
 63, 39, 54, 63, 0.375, 0.0
-460, 89, 426, 460, 0.09164420485175202, 0.0
-273, 28, 241, 273, 0.1306122448979592, 0.0
-315, 114, 315, 315, 0.0, 0.0
+460, 89, 419, 453, 0.1105121293800539, 0.018867924528301886
+273, 28, 247, 273, 0.10612244897959183, 0.0
+315, 114, 312, 315, 0.014925373134328358, 0.0
 1, 1, 1, 1, 1.0, 1.0
-28, 18, 19, 28, 0.9, 0.0
+28, 18, 18, 28, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
-11, 10, 10, 10, 1.0, 1.0
+11, 10, 10, 11, 1.0, 0.0
 25, 25, 25, 25, 1.0, 1.0
 21, 16, 16, 21, 1.0, 0.0
 13, 13, 13, 13, 1.0, 1.0
 36, 27, 27, 36, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
-17, 13, 13, 15, 1.0, 0.5
+17, 13, 13, 17, 1.0, 0.0
 13, 9, 9, 11, 1.0, 0.5
-70, 43, 67, 70, 0.1111111111111111, 0.0
+70, 43, 57, 70, 0.48148148148148145, 0.0
 46, 33, 36, 46, 0.7692307692307693, 0.0
 9, 9, 9, 9, 1.0, 1.0
 13, 11, 11, 13, 1.0, 0.0
-15, 9, 9, 13, 1.0, 0.3333333333333333
+15, 9, 9, 15, 1.0, 0.0
 24, 19, 19, 24, 1.0, 0.0
 10, 8, 8, 8, 1.0, 1.0
-50, 32, 40, 47, 0.5555555555555556, 0.16666666666666666
+50, 32, 40, 44, 0.5555555555555556, 0.3333333333333333
 61, 53, 54, 61, 0.875, 0.0
 16, 16, 16, 16, 1.0, 1.0
 23, 19, 19, 23, 1.0, 0.0
 31, 24, 24, 31, 1.0, 0.0
 102, 40, 41, 102, 0.9838709677419355, 0.0
-43, 36, 42, 43, 0.14285714285714285, 0.0
-17, 11, 11, 16, 1.0, 0.16666666666666666
-35, 22, 28, 34, 0.5384615384615384, 0.07692307692307693
-11, 6, 6, 10, 1.0, 0.2
-57, 31, 34, 57, 0.8846153846153846, 0.0
+43, 36, 41, 43, 0.2857142857142857, 0.0
+17, 11, 11, 13, 1.0, 0.6666666666666666
+35, 22, 28, 35, 0.5384615384615384, 0.0
+11, 6, 6, 6, 1.0, 1.0
+57, 31, 32, 57, 0.9615384615384616, 0.0
 45, 37, 37, 45, 1.0, 0.0
 3, 2, 2, 2, 1.0, 1.0
 12, 12, 12, 12, 1.0, 1.0
 9, 8, 8, 8, 1.0, 1.0
 9, 8, 8, 9, 1.0, 0.0
 12, 11, 11, 12, 1.0, 0.0
-9, 8, 8, 8, 1.0, 1.0
-31, 17, 17, 20, 1.0, 0.7857142857142857
 9, 8, 8, 9, 1.0, 0.0
-26, 21, 21, 25, 1.0, 0.2
-36, 33, 33, 36, 1.0, 0.0
+31, 17, 21, 31, 0.7142857142857143, 0.0
 9, 8, 8, 9, 1.0, 0.0
+26, 21, 21, 26, 1.0, 0.0
+36, 33, 33, 36, 1.0, 0.0
+9, 8, 8, 8, 1.0, 1.0
 19, 15, 15, 15, 1.0, 1.0
 21, 11, 14, 17, 0.7, 0.4
 3, 2, 2, 2, 1.0, 1.0
@@ -1202,9 +1204,9 @@ initial states, final states, incremental states, naive states, incremental perc
 19, 19, 19, 19, 1.0, 1.0
 41, 41, 41, 41, 1.0, 1.0
 257, 257, 257, 257, 1.0, 1.0
-50, 36, 40, 50, 0.7142857142857143, 0.0
+50, 36, 39, 50, 0.7857142857142857, 0.0
 9, 4, 4, 4, 1.0, 1.0
-10, 5, 5, 6, 1.0, 0.8
+10, 5, 5, 9, 1.0, 0.2
 7, 5, 5, 7, 1.0, 0.0
 6, 3, 3, 3, 1.0, 1.0
 5, 4, 4, 4, 1.0, 1.0
@@ -1213,7 +1215,7 @@ initial states, final states, incremental states, naive states, incremental perc
 1, 1, 1, 1, 1.0, 1.0
 10, 9, 9, 9, 1.0, 1.0
 15, 15, 15, 15, 1.0, 1.0
-7, 5, 5, 7, 1.0, 0.0
+7, 5, 5, 5, 1.0, 1.0
 17, 11, 11, 11, 1.0, 1.0
 43, 16, 16, 43, 1.0, 0.0
 28, 28, 28, 28, 1.0, 1.0
@@ -1224,7 +1226,7 @@ initial states, final states, incremental states, naive states, incremental perc
 12, 12, 12, 12, 1.0, 1.0
 33, 21, 21, 21, 1.0, 1.0
 58, 17, 19, 58, 0.9512195121951219, 0.0
-13, 8, 8, 13, 1.0, 0.0
+13, 8, 8, 12, 1.0, 0.2
 6, 5, 5, 5, 1.0, 1.0
 11, 7, 7, 11, 1.0, 0.0
 3, 2, 2, 2, 1.0, 1.0
@@ -1240,59 +1242,59 @@ initial states, final states, incremental states, naive states, incremental perc
 18, 12, 12, 18, 1.0, 0.0
 23, 14, 14, 23, 1.0, 0.0
 7, 7, 7, 7, 1.0, 1.0
-14, 9, 9, 10, 1.0, 0.8
-17, 14, 14, 14, 1.0, 1.0
-10, 9, 9, 9, 1.0, 1.0
-12, 11, 11, 12, 1.0, 0.0
-22, 17, 17, 22, 1.0, 0.0
+14, 9, 9, 11, 1.0, 0.6
+17, 14, 14, 17, 1.0, 0.0
+10, 9, 9, 10, 1.0, 0.0
+12, 11, 11, 11, 1.0, 1.0
+22, 17, 17, 20, 1.0, 0.4
 13, 12, 12, 13, 1.0, 0.0
 14, 12, 12, 14, 1.0, 0.0
-19, 16, 16, 17, 1.0, 0.6666666666666666
-13, 10, 10, 12, 1.0, 0.3333333333333333
+19, 16, 16, 19, 1.0, 0.0
+13, 10, 10, 13, 1.0, 0.0
 19, 16, 16, 19, 1.0, 0.0
 27, 23, 23, 27, 1.0, 0.0
-14, 11, 11, 12, 1.0, 0.6666666666666666
+14, 11, 11, 14, 1.0, 0.0
 18, 12, 12, 18, 1.0, 0.0
 29, 25, 25, 29, 1.0, 0.0
 31, 24, 24, 31, 1.0, 0.0
 41, 26, 26, 41, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
-9, 7, 7, 9, 1.0, 0.0
-7, 4, 4, 4, 1.0, 1.0
+9, 7, 7, 7, 1.0, 1.0
+7, 4, 4, 7, 1.0, 0.0
 6, 3, 3, 5, 1.0, 0.3333333333333333
 8, 5, 5, 5, 1.0, 1.0
 8, 6, 6, 6, 1.0, 1.0
 8, 6, 6, 6, 1.0, 1.0
 8, 7, 7, 8, 1.0, 0.0
-8, 6, 6, 7, 1.0, 0.5
-21, 11, 11, 17, 1.0, 0.4
-15, 9, 9, 9, 1.0, 1.0
+8, 6, 6, 8, 1.0, 0.0
+21, 11, 11, 21, 1.0, 0.0
+15, 9, 9, 10, 1.0, 0.8333333333333334
 1, 1, 1, 1, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
-18, 9, 9, 9, 1.0, 1.0
+18, 9, 9, 11, 1.0, 0.7777777777777778
 1, 1, 1, 1, 1.0, 1.0
 7, 6, 6, 6, 1.0, 1.0
 7, 5, 5, 5, 1.0, 1.0
-7, 5, 5, 5, 1.0, 1.0
-25, 11, 17, 25, 0.5714285714285714, 0.0
+7, 5, 5, 7, 1.0, 0.0
+25, 11, 25, 25, 0.0, 0.0
 10, 8, 8, 8, 1.0, 1.0
-22, 15, 15, 21, 1.0, 0.14285714285714285
+22, 15, 15, 22, 1.0, 0.0
 10, 8, 8, 8, 1.0, 1.0
-22, 15, 15, 20, 1.0, 0.2857142857142857
+22, 15, 15, 22, 1.0, 0.0
 5, 4, 4, 4, 1.0, 1.0
 15, 10, 10, 15, 1.0, 0.0
 13, 11, 11, 13, 1.0, 0.0
-12, 10, 10, 11, 1.0, 0.5
-48, 25, 40, 48, 0.34782608695652173, 0.0
-7, 6, 6, 6, 1.0, 1.0
-12, 7, 7, 10, 1.0, 0.4
-10, 7, 7, 10, 1.0, 0.0
+12, 10, 10, 10, 1.0, 1.0
+48, 25, 37, 48, 0.4782608695652174, 0.0
+7, 6, 6, 7, 1.0, 0.0
+12, 7, 7, 12, 1.0, 0.0
+10, 7, 7, 8, 1.0, 0.6666666666666666
 257, 257, 257, 257, 1.0, 1.0
 6, 5, 5, 5, 1.0, 1.0
 9, 8, 8, 8, 1.0, 1.0
-18, 15, 15, 18, 1.0, 0.0
+18, 15, 15, 16, 1.0, 0.6666666666666666
 64, 30, 51, 59, 0.38235294117647056, 0.14705882352941177
-39, 24, 24, 39, 1.0, 0.0
+39, 24, 25, 39, 0.9333333333333333, 0.0
 126, 36, 126, 126, 0.0, 0.0
 16, 16, 16, 16, 1.0, 1.0
 17, 17, 17, 17, 1.0, 1.0
@@ -1302,110 +1304,110 @@ initial states, final states, incremental states, naive states, incremental perc
 18, 18, 18, 18, 1.0, 1.0
 12, 12, 12, 12, 1.0, 1.0
 19, 19, 19, 19, 1.0, 1.0
-13, 12, 12, 12, 1.0, 1.0
+13, 12, 12, 13, 1.0, 0.0
 12, 12, 12, 12, 1.0, 1.0
-64, 39, 55, 64, 0.36, 0.0
+64, 39, 52, 64, 0.48, 0.0
 18, 17, 17, 17, 1.0, 1.0
 13, 12, 12, 13, 1.0, 0.0
 19, 17, 17, 19, 1.0, 0.0
-7, 3, 3, 3, 1.0, 1.0
+7, 3, 3, 7, 1.0, 0.0
 7, 7, 7, 7, 1.0, 1.0
 19, 19, 19, 19, 1.0, 1.0
-22, 7, 13, 22, 0.6, 0.0
-8, 6, 6, 6, 1.0, 1.0
-9, 7, 7, 9, 1.0, 0.0
+22, 7, 9, 22, 0.8666666666666667, 0.0
+8, 6, 6, 7, 1.0, 0.5
+9, 7, 7, 7, 1.0, 1.0
 15, 14, 14, 14, 1.0, 1.0
 14, 10, 10, 10, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 10, 10, 10, 10, 1.0, 1.0
 11, 11, 11, 11, 1.0, 1.0
-11, 8, 8, 11, 1.0, 0.0
-25, 20, 20, 23, 1.0, 0.4
+11, 8, 8, 9, 1.0, 0.6666666666666666
+25, 20, 20, 25, 1.0, 0.0
 27, 22, 22, 22, 1.0, 1.0
 7, 7, 7, 7, 1.0, 1.0
 12, 10, 10, 12, 1.0, 0.0
 27, 26, 26, 27, 1.0, 0.0
-11, 9, 9, 11, 1.0, 0.0
+11, 9, 9, 9, 1.0, 1.0
 1319, 1313, 1319, 1319, 0.0, 0.0
-20, 17, 17, 18, 1.0, 0.6666666666666666
+20, 17, 17, 19, 1.0, 0.3333333333333333
 31, 26, 26, 31, 1.0, 0.0
-19, 15, 15, 16, 1.0, 0.75
+19, 15, 15, 19, 1.0, 0.0
 31, 4, 4, 31, 1.0, 0.0
 12, 5, 5, 6, 1.0, 0.8571428571428571
 47, 31, 31, 47, 1.0, 0.0
 10, 9, 9, 9, 1.0, 1.0
 12, 12, 12, 12, 1.0, 1.0
-29, 28, 28, 29, 1.0, 0.0
+29, 28, 28, 28, 1.0, 1.0
 10, 5, 5, 6, 1.0, 0.8
 23, 23, 23, 23, 1.0, 1.0
 23, 23, 23, 23, 1.0, 1.0
-23, 16, 16, 16, 1.0, 1.0
+23, 16, 16, 19, 1.0, 0.5714285714285714
 27, 26, 26, 26, 1.0, 1.0
-48, 24, 25, 48, 0.9583333333333334, 0.0
-40, 21, 22, 40, 0.9473684210526315, 0.0
+48, 24, 26, 48, 0.9166666666666666, 0.0
+40, 21, 21, 40, 1.0, 0.0
 9, 9, 9, 9, 1.0, 1.0
-18, 10, 10, 18, 1.0, 0.0
-15, 14, 14, 15, 1.0, 0.0
+18, 10, 10, 14, 1.0, 0.5
+15, 14, 14, 14, 1.0, 1.0
 23, 23, 23, 23, 1.0, 1.0
 27, 20, 20, 27, 1.0, 0.0
 11, 11, 11, 11, 1.0, 1.0
 37, 28, 36, 37, 0.1111111111111111, 0.0
 80, 39, 70, 80, 0.24390243902439024, 0.0
 16, 16, 16, 16, 1.0, 1.0
-619, 57, 323, 474, 0.5266903914590747, 0.2580071174377224
-27, 24, 27, 27, 0.0, 0.0
+619, 57, 323, 619, 0.5266903914590747, 0.0
+27, 24, 24, 27, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
 15, 15, 15, 15, 1.0, 1.0
 7, 3, 3, 3, 1.0, 1.0
-80, 23, 23, 39, 1.0, 0.7192982456140351
+80, 23, 23, 42, 1.0, 0.6666666666666666
 39, 32, 35, 39, 0.5714285714285714, 0.0
-14, 7, 7, 9, 1.0, 0.7142857142857143
+14, 7, 7, 10, 1.0, 0.5714285714285714
 10, 6, 6, 10, 1.0, 0.0
 32, 27, 27, 32, 1.0, 0.0
 6, 4, 4, 4, 1.0, 1.0
 15, 9, 9, 13, 1.0, 0.3333333333333333
-16, 14, 14, 16, 1.0, 0.0
+16, 14, 14, 15, 1.0, 0.5
 157, 153, 154, 156, 0.75, 0.25
 7, 3, 3, 7, 1.0, 0.0
-41, 17, 41, 41, 0.0, 0.0
+41, 17, 29, 41, 0.5, 0.0
 4, 3, 3, 3, 1.0, 1.0
-22, 10, 11, 11, 0.9166666666666666, 0.9166666666666666
+22, 10, 10, 12, 1.0, 0.8333333333333334
 8, 5, 5, 5, 1.0, 1.0
-34, 24, 27, 27, 0.7, 0.7
+34, 24, 25, 27, 0.9, 0.7
 14, 14, 14, 14, 1.0, 1.0
 38, 12, 12, 38, 1.0, 0.0
-610, 339, 587, 605, 0.08487084870848709, 0.01845018450184502
+610, 339, 582, 603, 0.1033210332103321, 0.025830258302583026
 4, 4, 4, 4, 1.0, 1.0
 15, 9, 9, 15, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
 34, 34, 34, 34, 1.0, 1.0
-4, 3, 3, 3, 1.0, 1.0
-17, 9, 9, 10, 1.0, 0.875
+4, 3, 3, 4, 1.0, 0.0
+17, 9, 9, 15, 1.0, 0.25
 23, 12, 12, 23, 1.0, 0.0
 52, 52, 52, 52, 1.0, 1.0
 7, 7, 7, 7, 1.0, 1.0
 66, 66, 66, 66, 1.0, 1.0
 17, 17, 17, 17, 1.0, 1.0
 82, 82, 82, 82, 1.0, 1.0
-6, 3, 3, 3, 1.0, 1.0
+6, 3, 3, 5, 1.0, 0.3333333333333333
 16, 10, 10, 16, 1.0, 0.0
-7, 5, 5, 6, 1.0, 0.5
+7, 5, 5, 5, 1.0, 1.0
 21, 13, 13, 21, 1.0, 0.0
-23, 8, 8, 20, 1.0, 0.2
-24, 16, 16, 24, 1.0, 0.0
+23, 8, 8, 23, 1.0, 0.0
+24, 16, 16, 23, 1.0, 0.125
 14, 10, 10, 14, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
 17, 17, 17, 17, 1.0, 1.0
 20, 20, 20, 20, 1.0, 1.0
 39, 32, 36, 39, 0.42857142857142855, 0.0
 13, 11, 11, 13, 1.0, 0.0
-39, 32, 36, 39, 0.42857142857142855, 0.0
-37, 30, 30, 37, 1.0, 0.0
+39, 32, 34, 39, 0.7142857142857143, 0.0
+37, 30, 31, 37, 0.8571428571428571, 0.0
 21, 8, 8, 21, 1.0, 0.0
-278, 37, 228, 278, 0.2074688796680498, 0.0
-7, 4, 4, 7, 1.0, 0.0
-56, 23, 43, 56, 0.3939393939393939, 0.0
-64, 10, 23, 54, 0.7592592592592593, 0.18518518518518517
+278, 37, 236, 277, 0.17427385892116182, 0.004149377593360996
+7, 4, 4, 5, 1.0, 0.6666666666666666
+56, 23, 41, 56, 0.45454545454545453, 0.0
+64, 10, 38, 47, 0.48148148148148145, 0.3148148148148148
 32, 9, 9, 32, 1.0, 0.0
 35, 8, 8, 35, 1.0, 0.0
 17, 16, 16, 17, 1.0, 0.0
@@ -1417,7 +1419,7 @@ initial states, final states, incremental states, naive states, incremental perc
 20, 10, 10, 20, 1.0, 0.0
 5, 4, 4, 4, 1.0, 1.0
 34, 34, 34, 34, 1.0, 1.0
-55, 39, 42, 55, 0.8125, 0.0
+55, 39, 55, 55, 0.0, 0.0
 13, 5, 5, 5, 1.0, 1.0
 10, 8, 8, 8, 1.0, 1.0
 20, 19, 19, 19, 1.0, 1.0
@@ -1428,7 +1430,7 @@ initial states, final states, incremental states, naive states, incremental perc
 23, 23, 23, 23, 1.0, 1.0
 18, 12, 12, 18, 1.0, 0.0
 10, 7, 7, 10, 1.0, 0.0
-9, 7, 7, 8, 1.0, 0.5
+9, 7, 7, 9, 1.0, 0.0
 16, 10, 10, 16, 1.0, 0.0
 19, 17, 17, 19, 1.0, 0.0
 24, 24, 24, 24, 1.0, 1.0
@@ -1439,101 +1441,101 @@ initial states, final states, incremental states, naive states, incremental perc
 23, 23, 23, 23, 1.0, 1.0
 19, 18, 18, 18, 1.0, 1.0
 115, 24, 50, 115, 0.7142857142857143, 0.0
-169, 103, 152, 169, 0.25757575757575757, 0.0
+169, 103, 157, 169, 0.18181818181818182, 0.0
 50, 38, 43, 50, 0.5833333333333334, 0.0
 1, 1, 1, 1, 1.0, 1.0
 30, 20, 20, 30, 1.0, 0.0
 28, 19, 19, 28, 1.0, 0.0
 32, 16, 16, 32, 1.0, 0.0
 25, 24, 24, 25, 1.0, 0.0
-20, 18, 18, 18, 1.0, 1.0
+20, 18, 18, 19, 1.0, 0.5
 20, 19, 19, 20, 1.0, 0.0
 13, 13, 13, 13, 1.0, 1.0
 23, 19, 19, 23, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
-52, 38, 38, 49, 1.0, 0.21428571428571427
+52, 38, 38, 50, 1.0, 0.14285714285714285
 62, 56, 56, 62, 1.0, 0.0
 29, 29, 29, 29, 1.0, 1.0
-61, 56, 56, 61, 1.0, 0.0
+61, 56, 57, 61, 0.8, 0.0
 14, 11, 11, 11, 1.0, 1.0
 14, 9, 9, 14, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
-141, 60, 132, 135, 0.1111111111111111, 0.07407407407407407
+141, 60, 132, 141, 0.1111111111111111, 0.0
 1, 1, 1, 1, 1.0, 1.0
-30, 20, 24, 24, 0.6, 0.6
-40, 21, 28, 40, 0.631578947368421, 0.0
+30, 20, 24, 30, 0.6, 0.0
+40, 21, 28, 34, 0.631578947368421, 0.3157894736842105
 6, 4, 4, 4, 1.0, 1.0
-7, 5, 5, 5, 1.0, 1.0
-12, 6, 6, 10, 1.0, 0.3333333333333333
+7, 5, 5, 6, 1.0, 0.5
+12, 6, 6, 6, 1.0, 1.0
 13, 12, 12, 13, 1.0, 0.0
-17, 13, 13, 16, 1.0, 0.25
-9, 6, 6, 7, 1.0, 0.6666666666666666
-48, 37, 43, 48, 0.45454545454545453, 0.0
+17, 13, 13, 17, 1.0, 0.0
+9, 6, 6, 6, 1.0, 1.0
+48, 37, 42, 47, 0.5454545454545454, 0.09090909090909091
 10, 10, 10, 10, 1.0, 1.0
 10, 10, 10, 10, 1.0, 1.0
 10, 10, 10, 10, 1.0, 1.0
-7, 5, 5, 6, 1.0, 0.5
+7, 5, 5, 5, 1.0, 1.0
 13, 3, 3, 3, 1.0, 1.0
 7, 5, 5, 5, 1.0, 1.0
 7, 6, 6, 6, 1.0, 1.0
-6, 4, 4, 6, 1.0, 0.0
+6, 4, 4, 4, 1.0, 1.0
 6, 5, 5, 5, 1.0, 1.0
 7, 5, 5, 5, 1.0, 1.0
-10, 9, 9, 9, 1.0, 1.0
-45, 25, 33, 45, 0.6, 0.0
+10, 9, 9, 10, 1.0, 0.0
+45, 25, 35, 41, 0.5, 0.2
 18, 16, 16, 17, 1.0, 0.5
 6, 6, 6, 6, 1.0, 1.0
 10, 10, 10, 10, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 9, 8, 8, 8, 1.0, 1.0
-29, 27, 27, 27, 1.0, 1.0
+29, 27, 27, 29, 1.0, 0.0
 29, 27, 27, 28, 1.0, 0.5
 30, 19, 19, 30, 1.0, 0.0
-7, 6, 6, 7, 1.0, 0.0
+7, 6, 6, 6, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 19, 14, 14, 14, 1.0, 1.0
 14, 13, 13, 13, 1.0, 1.0
 12, 12, 12, 12, 1.0, 1.0
-56, 46, 51, 55, 0.5, 0.1
-18, 15, 15, 15, 1.0, 1.0
-19, 16, 16, 17, 1.0, 0.6666666666666666
-29, 25, 25, 27, 1.0, 0.5
-12, 7, 7, 8, 1.0, 0.8
-61, 46, 48, 61, 0.8666666666666667, 0.0
+56, 46, 51, 56, 0.5, 0.0
+18, 15, 15, 16, 1.0, 0.6666666666666666
+19, 16, 16, 16, 1.0, 1.0
+29, 25, 25, 28, 1.0, 0.25
+12, 7, 7, 7, 1.0, 1.0
+61, 46, 46, 59, 1.0, 0.13333333333333333
 33, 28, 28, 28, 1.0, 1.0
-36, 28, 28, 31, 1.0, 0.625
+36, 28, 28, 36, 1.0, 0.0
 18, 17, 17, 17, 1.0, 1.0
 12, 12, 12, 12, 1.0, 1.0
 6, 3, 3, 4, 1.0, 0.6666666666666666
 4, 2, 2, 2, 1.0, 1.0
-8, 4, 4, 8, 1.0, 0.0
-73, 21, 55, 73, 0.34615384615384615, 0.0
-88, 57, 66, 88, 0.7096774193548387, 0.0
-25, 13, 13, 25, 1.0, 0.0
-8, 4, 4, 5, 1.0, 0.75
-64, 14, 28, 56, 0.72, 0.16
+8, 4, 4, 4, 1.0, 1.0
+73, 21, 73, 73, 0.0, 0.0
+88, 57, 65, 88, 0.7419354838709677, 0.0
+25, 13, 13, 13, 1.0, 1.0
+8, 4, 4, 4, 1.0, 1.0
+64, 14, 29, 56, 0.7, 0.16
 19, 13, 13, 18, 1.0, 0.16666666666666666
-16, 10, 10, 15, 1.0, 0.16666666666666666
+16, 10, 10, 16, 1.0, 0.0
 8, 5, 5, 8, 1.0, 0.0
-47, 31, 31, 35, 1.0, 0.75
+47, 31, 31, 42, 1.0, 0.3125
 22, 6, 6, 22, 1.0, 0.0
 15, 9, 9, 15, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
 12, 2, 2, 12, 1.0, 0.0
 78, 23, 25, 78, 0.9636363636363636, 0.0
-122, 86, 92, 122, 0.8333333333333334, 0.0
+122, 86, 93, 122, 0.8055555555555556, 0.0
 27, 10, 10, 27, 1.0, 0.0
 20, 12, 12, 20, 1.0, 0.0
 17, 5, 5, 17, 1.0, 0.0
-187, 53, 154, 187, 0.2462686567164179, 0.0
+187, 53, 172, 187, 0.11194029850746269, 0.0
 14, 12, 12, 14, 1.0, 0.0
 109, 36, 97, 109, 0.1643835616438356, 0.0
 44, 24, 24, 44, 1.0, 0.0
 21, 16, 16, 21, 1.0, 0.0
 355, 101, 174, 355, 0.7125984251968503, 0.0
-167, 98, 144, 167, 0.3333333333333333, 0.0
-147, 95, 141, 147, 0.11538461538461539, 0.0
+167, 98, 147, 167, 0.2898550724637681, 0.0
+147, 95, 143, 147, 0.07692307692307693, 0.0
 27, 21, 21, 27, 1.0, 0.0
 29, 24, 24, 29, 1.0, 0.0
 157, 41, 125, 157, 0.27586206896551724, 0.0
@@ -1541,7 +1543,7 @@ initial states, final states, incremental states, naive states, incremental perc
 34, 15, 15, 34, 1.0, 0.0
 24, 17, 17, 24, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
-309, 24, 65, 309, 0.856140350877193, 0.0
+309, 24, 67, 309, 0.8491228070175438, 0.0
 11, 9, 9, 11, 1.0, 0.0
 13, 12, 12, 13, 1.0, 0.0
 30, 25, 25, 30, 1.0, 0.0
@@ -1549,28 +1551,28 @@ initial states, final states, incremental states, naive states, incremental perc
 20, 15, 15, 20, 1.0, 0.0
 15, 14, 14, 15, 1.0, 0.0
 9, 7, 7, 7, 1.0, 1.0
-14, 10, 10, 14, 1.0, 0.0
+14, 10, 10, 13, 1.0, 0.25
 109, 4, 18, 109, 0.8666666666666667, 0.0
-11, 6, 6, 11, 1.0, 0.0
+11, 6, 6, 7, 1.0, 0.8
 15, 8, 8, 15, 1.0, 0.0
 22, 9, 9, 22, 1.0, 0.0
-18, 10, 10, 18, 1.0, 0.0
+18, 10, 10, 14, 1.0, 0.5
 1, 1, 1, 1, 1.0, 1.0
-7, 5, 5, 5, 1.0, 1.0
+7, 5, 5, 7, 1.0, 0.0
 9, 6, 6, 6, 1.0, 1.0
 6, 5, 5, 5, 1.0, 1.0
 8, 6, 6, 6, 1.0, 1.0
 10, 8, 8, 10, 1.0, 0.0
-35, 12, 12, 35, 1.0, 0.0
+35, 12, 13, 35, 0.9565217391304348, 0.0
 33, 16, 16, 33, 1.0, 0.0
-79, 18, 37, 79, 0.6885245901639344, 0.0
+79, 18, 35, 79, 0.7213114754098361, 0.0
 14, 7, 7, 10, 1.0, 0.5714285714285714
-24, 6, 6, 16, 1.0, 0.4444444444444444
+24, 6, 6, 15, 1.0, 0.5
 9, 8, 8, 8, 1.0, 1.0
 7, 7, 7, 7, 1.0, 1.0
 8, 8, 8, 8, 1.0, 1.0
-25, 12, 12, 19, 1.0, 0.46153846153846156
-194, 49, 178, 193, 0.1103448275862069, 0.006896551724137931
+25, 12, 13, 15, 0.9230769230769231, 0.7692307692307693
+194, 49, 179, 194, 0.10344827586206896, 0.0
 14, 13, 13, 14, 1.0, 0.0
 21, 21, 21, 21, 1.0, 1.0
 24, 19, 19, 24, 1.0, 0.0
@@ -1584,21 +1586,21 @@ initial states, final states, incremental states, naive states, incremental perc
 53, 19, 19, 53, 1.0, 0.0
 13, 13, 13, 13, 1.0, 1.0
 14, 14, 14, 14, 1.0, 1.0
-36, 30, 30, 35, 1.0, 0.16666666666666666
+36, 30, 30, 36, 1.0, 0.0
 12, 12, 12, 12, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 12, 12, 12, 12, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 6, 4, 4, 4, 1.0, 1.0
-33, 32, 32, 33, 1.0, 0.0
-16, 13, 13, 14, 1.0, 0.6666666666666666
+33, 32, 33, 33, 0.0, 0.0
+16, 13, 13, 16, 1.0, 0.0
 24, 18, 18, 24, 1.0, 0.0
 5, 5, 5, 5, 1.0, 1.0
 18, 18, 18, 18, 1.0, 1.0
 18, 18, 18, 18, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 24, 13, 13, 24, 1.0, 0.0
-44, 32, 33, 44, 0.9166666666666666, 0.0
+44, 32, 32, 44, 1.0, 0.0
 6, 5, 5, 5, 1.0, 1.0
 9, 6, 6, 9, 1.0, 0.0
 40, 21, 21, 40, 1.0, 0.0
@@ -1610,60 +1612,60 @@ initial states, final states, incremental states, naive states, incremental perc
 152, 152, 152, 152, 1.0, 1.0
 4, 3, 3, 3, 1.0, 1.0
 86, 37, 41, 86, 0.9183673469387755, 0.0
-89, 45, 58, 89, 0.7045454545454546, 0.0
+89, 45, 57, 89, 0.7272727272727273, 0.0
 4, 3, 3, 3, 1.0, 1.0
-7, 6, 6, 6, 1.0, 1.0
+7, 6, 6, 7, 1.0, 0.0
 15, 12, 12, 15, 1.0, 0.0
-15, 9, 9, 14, 1.0, 0.16666666666666666
-6, 1, 1, 1, 1.0, 1.0
+15, 9, 9, 15, 1.0, 0.0
+6, 1, 1, 6, 1.0, 0.0
 5, 4, 4, 4, 1.0, 1.0
 17, 11, 12, 17, 0.8333333333333334, 0.0
 9, 7, 7, 8, 1.0, 0.5
 12, 10, 10, 11, 1.0, 0.5
 12, 10, 10, 12, 1.0, 0.0
 15, 15, 15, 15, 1.0, 1.0
-20, 6, 6, 20, 1.0, 0.0
+20, 6, 6, 17, 1.0, 0.21428571428571427
 4, 3, 3, 3, 1.0, 1.0
 15, 15, 15, 15, 1.0, 1.0
 29, 29, 29, 29, 1.0, 1.0
 33, 32, 32, 33, 1.0, 0.0
 15, 9, 9, 15, 1.0, 0.0
-13, 7, 7, 13, 1.0, 0.0
+13, 7, 7, 7, 1.0, 1.0
 17, 10, 10, 12, 1.0, 0.7142857142857143
 16, 10, 10, 16, 1.0, 0.0
 11, 8, 8, 10, 1.0, 0.3333333333333333
 1, 1, 1, 1, 1.0, 1.0
-8, 5, 5, 6, 1.0, 0.6666666666666666
+8, 5, 5, 7, 1.0, 0.3333333333333333
 4, 3, 3, 3, 1.0, 1.0
-6, 4, 4, 4, 1.0, 1.0
+6, 4, 4, 6, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
 8, 6, 6, 6, 1.0, 1.0
 8, 6, 6, 7, 1.0, 0.5
-11, 6, 6, 6, 1.0, 1.0
+11, 6, 6, 10, 1.0, 0.2
 8, 7, 7, 7, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 3, 2, 2, 2, 1.0, 1.0
-3, 2, 2, 2, 1.0, 1.0
+3, 2, 2, 3, 1.0, 0.0
 8, 6, 6, 6, 1.0, 1.0
 9, 1, 1, 9, 1.0, 0.0
 6, 4, 4, 4, 1.0, 1.0
 17, 17, 17, 17, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
-19, 16, 16, 17, 1.0, 0.6666666666666666
-14, 9, 9, 14, 1.0, 0.0
+19, 16, 16, 19, 1.0, 0.0
+14, 9, 9, 9, 1.0, 1.0
 90, 45, 55, 90, 0.7777777777777778, 0.0
 12, 12, 12, 12, 1.0, 1.0
 4, 3, 3, 3, 1.0, 1.0
 17, 17, 17, 17, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
-10, 8, 8, 10, 1.0, 0.0
+10, 8, 8, 9, 1.0, 0.5
 17, 16, 16, 17, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
 6, 5, 5, 5, 1.0, 1.0
 3, 2, 2, 2, 1.0, 1.0
 7, 5, 5, 5, 1.0, 1.0
 4, 3, 3, 3, 1.0, 1.0
-7, 3, 3, 4, 1.0, 0.75
+7, 3, 3, 3, 1.0, 1.0
 6, 4, 4, 4, 1.0, 1.0
 4, 3, 3, 3, 1.0, 1.0
 7, 3, 3, 3, 1.0, 1.0
@@ -1684,8 +1686,8 @@ initial states, final states, incremental states, naive states, incremental perc
 1, 1, 1, 1, 1.0, 1.0
 6, 6, 6, 6, 1.0, 1.0
 10, 9, 9, 9, 1.0, 1.0
-34, 20, 20, 26, 1.0, 0.5714285714285714
-33, 25, 25, 29, 1.0, 0.5
+34, 20, 21, 27, 0.9285714285714286, 0.5
+33, 25, 25, 26, 1.0, 0.875
 1, 1, 1, 1, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 7, 7, 7, 7, 1.0, 1.0
@@ -1697,19 +1699,19 @@ initial states, final states, incremental states, naive states, incremental perc
 13, 13, 13, 13, 1.0, 1.0
 10, 10, 10, 10, 1.0, 1.0
 12, 12, 12, 12, 1.0, 1.0
-21, 13, 13, 21, 1.0, 0.0
+21, 13, 13, 20, 1.0, 0.125
 5, 5, 5, 5, 1.0, 1.0
 18, 18, 18, 18, 1.0, 1.0
-8, 4, 4, 5, 1.0, 0.75
+8, 4, 4, 4, 1.0, 1.0
 40, 13, 13, 40, 1.0, 0.0
-165, 14, 141, 163, 0.15894039735099338, 0.013245033112582781
+165, 14, 142, 165, 0.152317880794702, 0.0
 13, 13, 13, 13, 1.0, 1.0
-10, 9, 9, 9, 1.0, 1.0
-26, 18, 18, 21, 1.0, 0.625
+10, 9, 9, 10, 1.0, 0.0
+26, 18, 18, 20, 1.0, 0.75
 17, 17, 17, 17, 1.0, 1.0
 3, 3, 3, 3, 1.0, 1.0
 5, 3, 3, 3, 1.0, 1.0
-8, 6, 6, 6, 1.0, 1.0
+8, 6, 6, 8, 1.0, 0.0
 4, 4, 4, 4, 1.0, 1.0
 6, 6, 6, 6, 1.0, 1.0
 8, 8, 8, 8, 1.0, 1.0
@@ -1721,13 +1723,13 @@ initial states, final states, incremental states, naive states, incremental perc
 11, 10, 10, 11, 1.0, 0.0
 9, 9, 9, 9, 1.0, 1.0
 4, 4, 4, 4, 1.0, 1.0
-7, 4, 4, 4, 1.0, 1.0
+7, 4, 4, 5, 1.0, 0.6666666666666666
 12, 12, 12, 12, 1.0, 1.0
 7, 7, 7, 7, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 9, 9, 9, 9, 1.0, 1.0
 6, 6, 6, 6, 1.0, 1.0
-27, 24, 24, 25, 1.0, 0.6666666666666666
+27, 24, 24, 26, 1.0, 0.3333333333333333
 9, 9, 9, 9, 1.0, 1.0
 9, 9, 9, 9, 1.0, 1.0
 9, 8, 8, 8, 1.0, 1.0
@@ -1764,11 +1766,11 @@ initial states, final states, incremental states, naive states, incremental perc
 1, 1, 1, 1, 1.0, 1.0
 19, 18, 18, 18, 1.0, 1.0
 11, 11, 11, 11, 1.0, 1.0
-9, 8, 8, 8, 1.0, 1.0
+9, 8, 8, 9, 1.0, 0.0
 11, 11, 11, 11, 1.0, 1.0
 97, 44, 65, 97, 0.6037735849056604, 0.0
 9, 8, 8, 8, 1.0, 1.0
-43, 25, 26, 35, 0.9444444444444444, 0.4444444444444444
+43, 25, 27, 35, 0.8888888888888888, 0.4444444444444444
 11, 11, 11, 11, 1.0, 1.0
 29, 17, 17, 25, 1.0, 0.3333333333333333
 10, 10, 10, 10, 1.0, 1.0
@@ -1776,7 +1778,7 @@ initial states, final states, incremental states, naive states, incremental perc
 13, 13, 13, 13, 1.0, 1.0
 9, 9, 9, 9, 1.0, 1.0
 12, 12, 12, 12, 1.0, 1.0
-17, 8, 8, 17, 1.0, 0.0
+17, 8, 8, 16, 1.0, 0.1111111111111111
 1, 1, 1, 1, 1.0, 1.0
 38, 38, 38, 38, 1.0, 1.0
 4, 3, 3, 3, 1.0, 1.0
@@ -1807,13 +1809,13 @@ initial states, final states, incremental states, naive states, incremental perc
 8, 8, 8, 8, 1.0, 1.0
 10, 10, 10, 10, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
-43, 39, 39, 43, 1.0, 0.0
+43, 39, 39, 42, 1.0, 0.25
 12, 10, 10, 12, 1.0, 0.0
 10, 10, 10, 10, 1.0, 1.0
 11, 11, 11, 11, 1.0, 1.0
 23, 23, 23, 23, 1.0, 1.0
-8, 6, 6, 7, 1.0, 0.5
-8, 6, 6, 8, 1.0, 0.0
+8, 6, 6, 6, 1.0, 1.0
+8, 6, 6, 6, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
@@ -1824,13 +1826,13 @@ initial states, final states, incremental states, naive states, incremental perc
 15, 15, 15, 15, 1.0, 1.0
 15, 15, 15, 15, 1.0, 1.0
 15, 15, 15, 15, 1.0, 1.0
-9, 5, 5, 7, 1.0, 0.5
+9, 5, 5, 9, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
-13, 9, 9, 13, 1.0, 0.0
+13, 9, 9, 9, 1.0, 1.0
 14, 10, 10, 14, 1.0, 0.0
 39, 31, 38, 39, 0.125, 0.0
-7, 3, 3, 3, 1.0, 1.0
+7, 3, 3, 7, 1.0, 0.0
 11, 9, 9, 11, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
 22, 19, 19, 22, 1.0, 0.0
@@ -1853,17 +1855,17 @@ initial states, final states, incremental states, naive states, incremental perc
 3, 2, 2, 2, 1.0, 1.0
 3, 2, 2, 2, 1.0, 1.0
 4, 3, 3, 3, 1.0, 1.0
-45, 32, 40, 45, 0.38461538461538464, 0.0
+45, 32, 45, 45, 0.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
 7, 4, 4, 7, 1.0, 0.0
-55, 42, 50, 55, 0.38461538461538464, 0.0
-19, 17, 17, 19, 1.0, 0.0
+55, 42, 51, 55, 0.3076923076923077, 0.0
+19, 17, 17, 17, 1.0, 1.0
 4, 3, 3, 3, 1.0, 1.0
 19, 19, 19, 19, 1.0, 1.0
-16, 7, 7, 15, 1.0, 0.1111111111111111
+16, 7, 7, 13, 1.0, 0.3333333333333333
 113, 74, 91, 113, 0.5641025641025641, 0.0
-41, 27, 37, 41, 0.2857142857142857, 0.0
-601, 93, 579, 597, 0.04330708661417323, 0.007874015748031496
+41, 27, 36, 41, 0.35714285714285715, 0.0
+601, 93, 601, 601, 0.0, 0.0
 85, 49, 65, 85, 0.5555555555555556, 0.0
 16, 8, 8, 16, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
@@ -1872,8 +1874,8 @@ initial states, final states, incremental states, naive states, incremental perc
 4, 3, 3, 3, 1.0, 1.0
 13, 11, 11, 13, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
-13, 7, 7, 10, 1.0, 0.5
-8, 7, 7, 8, 1.0, 0.0
+13, 7, 7, 13, 1.0, 0.0
+8, 7, 7, 7, 1.0, 1.0
 35, 25, 26, 35, 0.9, 0.0
 7, 6, 6, 6, 1.0, 1.0
 6, 5, 5, 5, 1.0, 1.0
@@ -1885,7 +1887,7 @@ initial states, final states, incremental states, naive states, incremental perc
 67, 67, 67, 67, 1.0, 1.0
 4, 3, 3, 3, 1.0, 1.0
 7, 3, 3, 3, 1.0, 1.0
-22, 9, 9, 18, 1.0, 0.3076923076923077
+22, 9, 9, 17, 1.0, 0.38461538461538464
 41, 25, 32, 41, 0.5625, 0.0
 22, 5, 5, 22, 1.0, 0.0
 10, 7, 7, 10, 1.0, 0.0
@@ -1894,16 +1896,16 @@ initial states, final states, incremental states, naive states, incremental perc
 22, 22, 22, 22, 1.0, 1.0
 15, 9, 9, 15, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
-10, 5, 5, 10, 1.0, 0.0
+10, 5, 5, 9, 1.0, 0.2
 3, 3, 3, 3, 1.0, 1.0
-7, 3, 3, 4, 1.0, 0.75
+7, 3, 3, 7, 1.0, 0.0
 12, 8, 8, 12, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
 21, 12, 12, 21, 1.0, 0.0
-7, 4, 4, 4, 1.0, 1.0
+7, 4, 4, 7, 1.0, 0.0
 7, 3, 3, 3, 1.0, 1.0
-8, 5, 5, 5, 1.0, 1.0
-9, 5, 5, 6, 1.0, 0.75
+8, 5, 5, 6, 1.0, 0.6666666666666666
+9, 5, 5, 7, 1.0, 0.5
 10, 5, 5, 5, 1.0, 1.0
 15, 7, 7, 15, 1.0, 0.0
 12, 8, 8, 12, 1.0, 0.0
@@ -1911,13 +1913,13 @@ initial states, final states, incremental states, naive states, incremental perc
 15, 10, 10, 15, 1.0, 0.0
 21, 12, 12, 21, 1.0, 0.0
 5, 4, 4, 4, 1.0, 1.0
-5, 4, 4, 5, 1.0, 0.0
+5, 4, 4, 4, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 17, 17, 17, 17, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
-11, 10, 10, 10, 1.0, 1.0
+11, 10, 10, 11, 1.0, 0.0
 13, 13, 13, 13, 1.0, 1.0
-11, 9, 9, 10, 1.0, 0.5
+11, 9, 9, 9, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 6, 5, 5, 6, 1.0, 0.0
 11, 11, 11, 11, 1.0, 1.0
@@ -1925,11 +1927,11 @@ initial states, final states, incremental states, naive states, incremental perc
 1, 1, 1, 1, 1.0, 1.0
 20, 20, 20, 20, 1.0, 1.0
 13, 13, 13, 13, 1.0, 1.0
-5, 3, 3, 5, 1.0, 0.0
+5, 3, 3, 4, 1.0, 0.5
 4, 3, 3, 3, 1.0, 1.0
 4, 3, 3, 3, 1.0, 1.0
 5, 4, 4, 4, 1.0, 1.0
-10, 7, 7, 10, 1.0, 0.0
+10, 7, 7, 7, 1.0, 1.0
 17, 7, 7, 17, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
 24, 4, 4, 5, 1.0, 0.95
@@ -1938,27 +1940,27 @@ initial states, final states, incremental states, naive states, incremental perc
 1, 1, 1, 1, 1.0, 1.0
 5, 4, 4, 4, 1.0, 1.0
 19, 18, 18, 19, 1.0, 0.0
-65, 51, 51, 63, 1.0, 0.14285714285714285
+65, 51, 51, 62, 1.0, 0.21428571428571427
 40, 40, 40, 40, 1.0, 1.0
 9, 9, 9, 9, 1.0, 1.0
 10, 7, 7, 7, 1.0, 1.0
-19, 15, 15, 19, 1.0, 0.0
+19, 15, 15, 15, 1.0, 1.0
 14, 14, 14, 14, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
 15, 14, 14, 15, 1.0, 0.0
-15, 14, 14, 15, 1.0, 0.0
+15, 14, 14, 14, 1.0, 1.0
 35, 31, 31, 35, 1.0, 0.0
 8, 6, 6, 8, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
-12, 11, 11, 12, 1.0, 0.0
-21, 11, 11, 20, 1.0, 0.1
+12, 11, 11, 11, 1.0, 1.0
+21, 11, 11, 12, 1.0, 0.9
 19, 17, 17, 18, 1.0, 0.5
 8, 7, 7, 7, 1.0, 1.0
 14, 11, 11, 11, 1.0, 1.0
 16, 16, 16, 16, 1.0, 1.0
 15, 15, 15, 15, 1.0, 1.0
 8, 7, 7, 7, 1.0, 1.0
-14, 11, 11, 11, 1.0, 1.0
+14, 11, 11, 14, 1.0, 0.0
 1, 1, 1, 1, 1.0, 1.0
 14, 14, 14, 14, 1.0, 1.0
 16, 14, 14, 14, 1.0, 1.0
@@ -1977,7 +1979,7 @@ initial states, final states, incremental states, naive states, incremental perc
 12, 10, 10, 10, 1.0, 1.0
 20, 19, 19, 19, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
-11, 8, 8, 8, 1.0, 1.0
+11, 8, 8, 10, 1.0, 0.3333333333333333
 1, 1, 1, 1, 1.0, 1.0
 4, 3, 3, 3, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
@@ -1995,23 +1997,23 @@ initial states, final states, incremental states, naive states, incremental perc
 5, 5, 5, 5, 1.0, 1.0
 3, 2, 2, 2, 1.0, 1.0
 6, 3, 3, 3, 1.0, 1.0
-5, 3, 3, 3, 1.0, 1.0
+5, 3, 3, 5, 1.0, 0.0
 6, 6, 6, 6, 1.0, 1.0
 9, 3, 3, 3, 1.0, 1.0
 10, 5, 5, 7, 1.0, 0.6
-6, 3, 3, 4, 1.0, 0.6666666666666666
-8, 4, 4, 7, 1.0, 0.25
+6, 3, 3, 3, 1.0, 1.0
+8, 4, 4, 8, 1.0, 0.0
 20, 6, 6, 20, 1.0, 0.0
 5, 3, 3, 3, 1.0, 1.0
 10, 6, 6, 7, 1.0, 0.75
 4, 3, 3, 3, 1.0, 1.0
 8, 5, 5, 5, 1.0, 1.0
 8, 5, 5, 5, 1.0, 1.0
-5, 4, 4, 4, 1.0, 1.0
+5, 4, 4, 5, 1.0, 0.0
 7, 6, 6, 6, 1.0, 1.0
 7, 5, 5, 5, 1.0, 1.0
 7, 6, 6, 6, 1.0, 1.0
-7, 4, 4, 4, 1.0, 1.0
+7, 4, 4, 5, 1.0, 0.6666666666666666
 10, 7, 7, 7, 1.0, 1.0
 15, 13, 13, 13, 1.0, 1.0
 6, 4, 4, 4, 1.0, 1.0
@@ -2036,7 +2038,7 @@ initial states, final states, incremental states, naive states, incremental perc
 19, 16, 16, 16, 1.0, 1.0
 14, 14, 14, 14, 1.0, 1.0
 1, 1, 1, 1, 1.0, 1.0
-92, 47, 58, 92, 0.7555555555555555, 0.0
+92, 47, 60, 92, 0.7111111111111111, 0.0
 38, 28, 28, 38, 1.0, 0.0
 13, 13, 13, 13, 1.0, 1.0
 14, 14, 14, 14, 1.0, 1.0
@@ -2044,8 +2046,8 @@ initial states, final states, incremental states, naive states, incremental perc
 13, 13, 13, 13, 1.0, 1.0
 7, 7, 7, 7, 1.0, 1.0
 14, 12, 12, 12, 1.0, 1.0
-20, 15, 15, 15, 1.0, 1.0
-27, 19, 19, 19, 1.0, 1.0
+20, 15, 15, 17, 1.0, 0.6
+27, 19, 19, 23, 1.0, 0.5
 12, 12, 12, 12, 1.0, 1.0
 7, 7, 7, 7, 1.0, 1.0
 13, 12, 12, 12, 1.0, 1.0
@@ -2059,7 +2061,7 @@ initial states, final states, incremental states, naive states, incremental perc
 17, 17, 17, 17, 1.0, 1.0
 12, 12, 12, 12, 1.0, 1.0
 3, 1, 1, 1, 1.0, 1.0
-38, 18, 18, 33, 1.0, 0.25
+38, 18, 19, 34, 0.95, 0.2
 68, 42, 55, 68, 0.5, 0.0
 23, 13, 13, 23, 1.0, 0.0
 154, 46, 139, 154, 0.1388888888888889, 0.0
@@ -2067,21 +2069,21 @@ initial states, final states, incremental states, naive states, incremental perc
 1, 1, 1, 1, 1.0, 1.0
 25, 23, 23, 25, 1.0, 0.0
 23, 20, 20, 23, 1.0, 0.0
-8, 3, 3, 3, 1.0, 1.0
-8, 3, 3, 3, 1.0, 1.0
-8, 3, 3, 8, 1.0, 0.0
+8, 3, 3, 5, 1.0, 0.6
+8, 3, 3, 5, 1.0, 0.6
 8, 3, 3, 8, 1.0, 0.0
 8, 3, 3, 8, 1.0, 0.0
+8, 3, 3, 5, 1.0, 0.6
 11, 5, 5, 11, 1.0, 0.0
 51, 39, 39, 51, 1.0, 0.0
 4, 3, 3, 3, 1.0, 1.0
-7, 5, 5, 7, 1.0, 0.0
+7, 5, 5, 6, 1.0, 0.5
 25, 7, 7, 25, 1.0, 0.0
 23, 7, 7, 23, 1.0, 0.0
 5, 3, 3, 3, 1.0, 1.0
 11, 8, 8, 11, 1.0, 0.0
 15, 11, 11, 15, 1.0, 0.0
-13, 8, 8, 11, 1.0, 0.4
+13, 8, 8, 10, 1.0, 0.6
 36, 36, 36, 36, 1.0, 1.0
 40, 40, 40, 40, 1.0, 1.0
 40, 40, 40, 40, 1.0, 1.0
@@ -2106,7 +2108,7 @@ initial states, final states, incremental states, naive states, incremental perc
 12, 9, 9, 12, 1.0, 0.0
 19, 13, 13, 19, 1.0, 0.0
 22, 21, 21, 22, 1.0, 0.0
-11, 10, 10, 11, 1.0, 0.0
+11, 10, 10, 10, 1.0, 1.0
 38, 34, 34, 38, 1.0, 0.0
 61, 61, 61, 61, 1.0, 1.0
 40, 40, 40, 40, 1.0, 1.0
@@ -2122,7 +2124,7 @@ initial states, final states, incremental states, naive states, incremental perc
 17, 16, 16, 17, 1.0, 0.0
 42, 30, 30, 42, 1.0, 0.0
 19, 19, 19, 19, 1.0, 1.0
-364, 232, 340, 364, 0.18181818181818182, 0.0
+364, 232, 344, 364, 0.15151515151515152, 0.0
 11, 7, 7, 11, 1.0, 0.0
 14, 11, 11, 14, 1.0, 0.0
 17, 13, 13, 17, 1.0, 0.0
diff --git a/IncrementalMinimization/results/compare_BFS.png b/IncrementalMinimization/results/compare_BFS.png
new file mode 100644
index 00000000..7e93649a
Binary files /dev/null and b/IncrementalMinimization/results/compare_BFS.png differ
diff --git a/IncrementalMinimization/results/compare_graph.png b/IncrementalMinimization/results/compare_graph.png
deleted file mode 100644
index 0b5dff76..00000000
Binary files a/IncrementalMinimization/results/compare_graph.png and /dev/null differ
diff --git a/IncrementalMinimization/results/compare_graph_1.png b/IncrementalMinimization/results/compare_graph_1.png
new file mode 100644
index 00000000..5ffae41e
Binary files /dev/null and b/IncrementalMinimization/results/compare_graph_1.png differ
diff --git a/IncrementalMinimization/results/compare_graph_2.png b/IncrementalMinimization/results/compare_graph_2.png
new file mode 100644
index 00000000..690a5faa
Binary files /dev/null and b/IncrementalMinimization/results/compare_graph_2.png differ
diff --git a/IncrementalMinimization/results/compare_test.txt b/IncrementalMinimization/results/compare_test.txt
index 39805ad4..579a7460 100644
--- a/IncrementalMinimization/results/compare_test.txt
+++ b/IncrementalMinimization/results/compare_test.txt
@@ -1,2146 +1,2138 @@
-initial states, final states, transition count, predicate count, minterm count,incremental time, standard time, Moore time, upfront incremental time
-25, 17, 98, 12, 6, 4475.032, 2087.894, 8796.546, 5270.78
-35, 25, 89, 36, 19, 2852.315, 1947.002, 9910.959, 12198.926
-14, 11, 28, 18, 10, 399.584, 486.359, 1364.827, 976.061
-10, 9, 23, 16, 8, 241.771, 246.666, 587.084, 379.114
-15, 13, 28, 14, 7, 313.054, 271.456, 1528.172, 547.481
-4, 3, 5, 3, 2, 87.837, 78.972, 70.91, 104.581
-5, 3, 9, 3, 2, 146.434, 81.988, 107.318, 117.572
-8, 4, 20, 6, 4, 241.264, 173.131, 254.936, 295.931
-5, 3, 11, 4, 3, 119.732, 102.446, 92.225, 143.189
-7, 3, 19, 4, 3, 347.509, 134.707, 193.552, 368.567
-17, 12, 41, 21, 11, 463.984, 405.055, 2776.702, 1388.862
-5, 5, 8, 3, 2, 65.416, 91.76, 149.398, 84.52
-3, 2, 5, 3, 2, 60.635, 49.497, 40.523, 73.978
-4, 3, 7, 3, 2, 58.272, 66.606, 89.926, 77.743
-24, 24, 49, 6, 3, 448.149, 588.411, 4955.341, 716.518
-15, 13, 28, 8, 5, 191.867, 264.394, 1431.312, 404.678
-31, 8, 103, 13, 7, 1418.912, 1073.816, 9290.161, 2732.398
-3, 2, 5, 3, 2, 78.992, 85.748, 54.729, 99.987
-5, 4, 7, 3, 2, 53.556, 61.212, 259.915, 62.785
-1, 1, 1, 1, 1, 13.287, 1.739, 7.491, 7.351
-4, 3, 7, 3, 2, 56.549, 70.568, 41.582, 66.334
-10, 7, 23, 10, 5, 184.008, 200.484, 361.927, 321.293
-4, 3, 7, 5, 3, 120.18, 99.249, 52.92, 95.748
-111, 21, 531, 24, 10, 39960.661, 6329.42, 59499.411, 40384.404
-1, 1, 1, 1, 1, 9.9, 1.185, 4.124, 5.432
-3, 3, 4, 3, 2, 44.069, 60.059, 39.958, 42.133
-15, 14, 36, 14, 7, 369.27, 398.332, 456.427, 502.733
-10, 10, 21, 10, 5, 95.626, 148.364, 179.551, 170.428
-4, 4, 6, 5, 3, 35.229, 56.892, 34.891, 43.118
-1, 1, 1, 1, 1, 7.03, 1.133, 0.571, 5.266
-35, 9, 109, 28, 21, 977.313, 704.154, 3748.398, 6067.155
-10, 9, 24, 5, 3, 200.354, 192.47, 233.052, 290.875
-6, 6, 10, 9, 5, 47.346, 76.255, 83.139, 91.079
-13, 9, 29, 13, 6, 153.689, 168.167, 383.315, 240.048
-36, 17, 173, 26, 11, 1211.594, 974.112, 17505.962, 3045.646
-20, 13, 46, 20, 10, 256.505, 286.064, 960.817, 795.259
-44, 18, 161, 27, 10, 1674.427, 1201.861, 7957.795, 3567.727
-7, 5, 14, 5, 3, 79.634, 111.462, 82.307, 109.122
-10, 8, 22, 9, 5, 100.957, 132.362, 227.689, 147.731
-48, 39, 167, 31, 10, 1855.138, 1174.982, 6729.518, 3234.496
-9, 6, 16, 9, 5, 135.095, 162.461, 151.577, 201.423
-7, 5, 14, 5, 3, 74.277, 87.471, 90.613, 96.489
-40, 15, 171, 30, 16, 1373.431, 1216.074, 8488.086, 2977.139
-10, 7, 26, 11, 6, 187.765, 161.522, 244.017, 320.426
-121, 56, 389, 45, 14, 16348.994, 3004.323, 70330.696, 15359.502
-61, 40, 147, 40, 14, 1602.889, 1324.272, 29153.97, 2909.375
-917, 114, 5506, 97, 36, 1.58074266317E8, 94055.755, 1.4989836005E7, 1.6019984138E8
-64, 35, 177, 36, 13, 2722.91, 1604.523, 11880.174, 3637.859
-35, 22, 97, 23, 12, 659.554, 638.627, 5247.023, 1010.655
-62, 35, 147, 35, 13, 1686.712, 965.456, 9736.341, 2737.91
-68, 42, 157, 42, 14, 2907.513, 878.859, 12057.056, 4038.791
-68, 42, 157, 42, 14, 2976.438, 946.455, 12173.831, 4162.357
-68, 42, 157, 38, 13, 2895.767, 1384.884, 11433.298, 4166.787
-16, 10, 36, 13, 6, 154.981, 195.476, 568.252, 247.898
-17, 11, 35, 15, 7, 147.319, 176.773, 618.943, 228.734
-65, 30, 150, 36, 13, 2569.692, 736.457, 9904.409, 3824.474
-68, 34, 152, 39, 14, 2976.297, 1116.281, 10785.054, 4205.525
-50, 30, 115, 33, 11, 1225.001, 619.659, 5153.064, 5866.707
-58, 31, 125, 31, 11, 1248.495, 697.323, 8064.797, 2136.995
-15, 11, 28, 7, 4, 162.262, 153.456, 464.656, 195.871
-23, 17, 53, 20, 13, 564.776, 370.344, 944.089, 1632.927
-44, 41, 111, 16, 8, 709.63, 594.308, 4997.656, 1243.302
-1, 1, 1, 1, 1, 9.555, 25.463, 1.135, 3.06
-55, 31, 155, 30, 12, 1537.874, 734.894, 17523.563, 2472.702
-534, 5, 3367, 13, 8, 65842.812, 10390.073, 2092354.133, 75884.622
-29, 4, 58, 2, 2, 340.692, 510.932, 869.197, 476.747
-154, 114, 635, 75, 21, 125225.47, 3391.755, 91805.308, 124607.275
-23, 17, 53, 23, 12, 436.402, 316.259, 1140.562, 1214.099
-43, 35, 115, 30, 14, 1024.381, 639.355, 4823.811, 2718.614
-44, 17, 179, 32, 14, 1885.677, 1077.291, 9042.357, 4987.908
-43, 34, 116, 30, 14, 1242.172, 615.184, 4252.497, 3036.133
-38, 27, 86, 36, 18, 1094.239, 376.094, 1951.708, 2355.074
-22, 12, 60, 10, 4, 514.08, 292.151, 480.449, 639.509
-14, 12, 28, 10, 6, 111.398, 148.484, 498.465, 229.82
-37, 18, 106, 21, 9, 1354.61, 408.896, 3299.112, 2027.303
-15, 12, 33, 17, 7, 130.172, 122.798, 427.307, 277.16
-20, 15, 42, 21, 8, 186.532, 177.892, 1082.775, 352.037
-9, 8, 17, 12, 6, 79.029, 92.303, 154.158, 139.636
-38, 20, 81, 32, 11, 1204.543, 395.137, 2085.222, 1929.435
-44, 21, 107, 16, 8, 1686.174, 417.528, 3284.218, 1847.325
-20, 15, 42, 21, 8, 231.687, 197.869, 609.277, 374.307
-18, 17, 35, 12, 7, 115.198, 157.46, 964.96, 305.321
-27, 22, 57, 26, 10, 248.517, 227.233, 2492.656, 470.852
-20, 17, 35, 9, 5, 139.566, 170.798, 1002.357, 252.876
-56, 50, 151, 16, 8, 3331.111, 723.659, 5353.478, 4231.94
-13, 11, 25, 20, 11, 127.976, 119.27, 289.68, 278.898
-143, 12, 627, 96, 26, 74025.93, 2280.288, 81121.37, 82542.262
-179, 94, 392, 48, 25, 46076.115, 2268.457, 113902.554, 61825.831
-19, 16, 44, 14, 8, 197.375, 287.023, 1247.696, 386.863
-1, 1, 1, 1, 1, 21.511, 6.956, 3.59, 15.59
-21, 15, 50, 17, 11, 196.581, 228.35, 1557.92, 593.147
-18, 17, 38, 12, 7, 134.253, 197.868, 1027.043, 231.739
-17, 16, 36, 12, 7, 134.151, 151.2, 834.185, 269.497
-34, 27, 133, 33, 15, 884.446, 613.529, 3189.515, 2276.588
-61, 31, 126, 18, 9, 948.784, 546.329, 6581.3, 1777.212
-12, 11, 23, 12, 7, 66.761, 115.547, 309.086, 147.356
-27, 23, 55, 25, 11, 193.812, 226.129, 2904.536, 434.037
-35, 33, 75, 17, 8, 347.127, 352.452, 3828.418, 657.749
-113, 55, 651, 23, 12, 22988.305, 2747.974, 66522.802, 21365.082
-22, 16, 51, 23, 8, 227.059, 230.049, 1373.079, 470.865
-1024, 1024, 3070, 4, 3, 1.4440942353E8, 67766.537, 3388052.008, 1.66099371261E8
-1, 1, 1, 1, 1, 36.662, 1.754, 0.855, 10.198
-17, 16, 37, 20, 9, 148.867, 221.687, 601.281, 288.917
-9, 7, 17, 6, 3, 63.053, 102.78, 111.342, 135.546
-261, 22, 779, 5, 3, 2814664.567, 5666.703, 322656.704, 2800939.019
-43, 25, 99, 31, 9, 1334.314, 416.422, 1295.824, 1746.548
-36, 32, 102, 19, 10, 425.795, 420.178, 4065.269, 916.854
-36, 6, 126, 7, 4, 1151.862, 506.883, 1931.867, 2042.79
-14, 9, 37, 14, 7, 147.095, 135.76, 370.136, 403.253
-1, 1, 1, 1, 1, 4.573, 0.812, 0.51, 2.502
-9, 2, 36, 4, 4, 157.217, 122.62, 128.131, 337.128
-8, 7, 17, 10, 5, 108.741, 91.667, 117.305, 157.922
-10, 3, 34, 6, 4, 136.344, 160.371, 173.806, 230.263
-38, 31, 80, 14, 5, 501.725, 380.126, 2903.57, 752.574
-432, 98, 1826, 18, 8, 1.0944108881E7, 15413.213, 1128415.106, 1.1059318528E7
-25, 25, 51, 19, 9, 173.934, 231.009, 1990.161, 300.488
-37, 30, 79, 11, 5, 526.477, 375.478, 1726.269, 640.982
-23, 23, 47, 12, 6, 188.151, 204.449, 1190.225, 313.647
-1, 1, 1, 1, 1, 22.7, 18.59, 4.566, 4.319
-19, 18, 42, 9, 5, 171.92, 198.199, 1081.065, 304.542
-28, 17, 64, 18, 10, 270.835, 251.244, 10056.532, 658.016
-90, 57, 247, 28, 14, 3306.198, 1012.593, 32240.271, 4581.913
-1, 1, 1, 1, 1, 7.257, 4.821, 3.182, 2.556
-1, 1, 1, 1, 1, 4.976, 0.976, 0.511, 2.73
-85, 1, 777, 27, 17, 3589.789, 2057.034, 40002.012, 10448.54
-12, 12, 24, 6, 3, 110.617, 283.495, 232.253, 121.317
-40, 25, 120, 24, 9, 616.25, 1145.94, 4438.565, 1322.958
-43, 19, 130, 7, 5, 664.682, 1004.39, 11058.165, 1011.69
-93, 28, 300, 32, 10, 21724.045, 1974.347, 13552.034, 18737.596
-197, 49, 532, 33, 10, 230619.117, 2994.024, 52535.139, 216065.073
-83, 32, 193, 38, 11, 3893.236, 1097.687, 13474.79, 5099.378
-17, 1, 50, 7, 4, 246.05, 168.859, 297.124, 302.875
-89, 21, 690, 28, 14, 24521.792, 3262.012, 49677.914, 22132.093
-14, 11, 26, 5, 3, 106.937, 147.833, 284.147, 172.936
-184, 21, 472, 4, 3, 5506.555, 1341.206, 166492.735, 6440.089
-33, 23, 103, 29, 12, 634.669, 636.808, 2530.272, 1454.906
-154, 73, 753, 51, 14, 131576.501, 5033.195, 127158.847, 143099.55
-47, 34, 111, 40, 19, 939.051, 760.186, 4496.198, 2470.825
-431, 184, 2895, 76, 22, 9956880.665, 30989.693, 1016952.037, 8863083.234
-224, 20, 3195, 72, 32, 352501.102, 20296.792, 4073047.422, 468934.366
-354, 62, 2621, 78, 32, 5442250.737, 18598.011, 1269412.251, 5525672.877
-24, 20, 51, 31, 17, 173.644, 212.862, 1149.575, 1058.009
-33, 17, 117, 25, 13, 704.741, 763.065, 5279.07, 2183.673
-29, 14, 98, 20, 9, 762.712, 609.697, 2618.896, 2008.253
-19, 12, 44, 18, 9, 201.921, 218.907, 626.778, 605.597
-8, 5, 20, 7, 4, 91.15, 120.944, 150.993, 148.75
-27, 11, 74, 12, 5, 517.462, 376.484, 774.717, 839.029
-6, 5, 10, 3, 2, 29.125, 88.787, 51.106, 35.853
-41, 18, 102, 14, 8, 378.844, 346.954, 5025.007, 711.454
-9, 7, 32, 11, 7, 103.012, 132.16, 156.156, 282.651
-11, 9, 32, 17, 10, 122.484, 128.224, 189.753, 260.864
-12, 7, 21, 3, 2, 117.582, 88.784, 163.968, 156.253
-47, 12, 166, 15, 8, 2337.934, 674.766, 4180.982, 3212.016
-6, 3, 16, 4, 3, 73.263, 71.621, 69.252, 133.761
-47, 27, 96, 10, 6, 741.667, 429.591, 3612.944, 1079.211
-17, 15, 38, 12, 7, 131.977, 230.274, 905.832, 338.74
-20, 19, 44, 12, 6, 200.065, 258.772, 710.181, 342.664
-22, 18, 51, 27, 10, 227.489, 240.173, 1572.412, 447.278
-18, 15, 42, 18, 7, 155.864, 218.637, 900.956, 315.844
-22, 16, 50, 21, 8, 190.685, 249.082, 1307.144, 441.413
-56, 18, 139, 27, 17, 1422.543, 905.751, 14881.565, 3896.227
-48, 39, 102, 51, 27, 838.988, 572.294, 7373.993, 2896.419
-26, 11, 50, 17, 9, 249.461, 253.995, 606.519, 523.35
-9, 7, 17, 12, 7, 86.225, 91.776, 97.878, 136.233
-123, 40, 245, 27, 13, 11007.289, 1230.417, 21211.96, 11212.328
-16, 16, 32, 10, 5, 91.017, 169.622, 720.21, 174.223
-33, 27, 103, 15, 7, 437.248, 570.518, 4894.508, 931.947
-28, 18, 70, 29, 11, 409.688, 458.656, 1223.733, 829.581
-8, 7, 15, 10, 7, 63.035, 81.477, 116.89, 125.197
-33, 18, 104, 22, 10, 468.118, 439.317, 3782.812, 1030.721
-47, 25, 125, 17, 8, 1249.729, 602.496, 3984.214, 1811.179
-21, 17, 43, 10, 5, 164.816, 206.469, 1383.232, 282.876
-24, 12, 45, 15, 9, 199.646, 183.864, 521.449, 394.939
-173, 71, 425, 6, 3, 255760.799, 3758.106, 45032.779, 241470.553
-95, 64, 249, 8, 4, 26925.214, 2102.126, 121674.45, 22679.191
-23, 19, 71, 30, 13, 185.22, 348.699, 2641.783, 793.183
-95, 28, 522, 54, 18, 20529.538, 2128.429, 82829.744, 31787.303
-63, 28, 344, 54, 18, 4504.912, 1302.382, 39419.466, 8799.633
-7, 4, 20, 9, 5, 128.868, 71.768, 111.105, 159.278
-11, 10, 22, 11, 5, 75.557, 109.916, 249.781, 148.43
-11, 10, 21, 17, 9, 72.078, 76.619, 234.151, 182.222
-48, 41, 113, 44, 18, 626.866, 491.139, 6037.317, 1741.672
-12, 8, 27, 9, 5, 138.349, 123.824, 198.317, 199.939
-37, 15, 257, 23, 14, 1678.589, 865.591, 3811.859, 3693.289
-23, 23, 49, 11, 6, 166.964, 184.838, 1098.665, 264.955
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-24, 4, 84, 32, 15, 295.84, 213.163, 1876.117, 1192.522
-9, 7, 19, 12, 6, 53.574, 67.716, 127.714, 165.076
-129, 122, 298, 77, 31, 1608.922, 1433.755, 374061.843, 7283.165
-21, 20, 43, 32, 17, 97.093, 139.989, 1367.716, 524.544
-81, 81, 160, 41, 21, 576.72, 712.827, 87967.811, 1903.905
-5, 5, 8, 7, 4, 39.969, 61.178, 39.981, 66.907
-21, 16, 51, 24, 13, 134.814, 220.918, 1355.947, 565.026
-38, 23, 140, 33, 15, 988.893, 601.461, 4641.728, 3091.898
-14, 9, 34, 16, 9, 91.923, 109.972, 317.44, 339.939
-12, 9, 28, 16, 9, 96.495, 161.213, 257.569, 245.101
-19, 13, 54, 23, 12, 197.072, 211.968, 1294.92, 906.827
-22, 21, 48, 24, 11, 122.411, 178.553, 928.861, 475.782
-11, 10, 20, 11, 6, 40.689, 60.504, 169.221, 105.902
-38, 34, 110, 37, 18, 467.694, 457.161, 5154.612, 2127.121
-61, 61, 117, 47, 24, 375.269, 453.84, 36524.846, 1646.869
-40, 40, 76, 39, 20, 197.398, 265.586, 9816.958, 1263.048
-66, 66, 128, 61, 31, 414.407, 551.217, 46506.009, 5753.186
-76, 56, 268, 59, 22, 2942.421, 970.758, 33302.859, 6188.35
-84, 62, 305, 58, 21, 3096.535, 1239.817, 38621.67, 6771.744
-63, 57, 239, 54, 21, 1632.895, 932.785, 25682.827, 4103.42
-12, 11, 24, 15, 8, 71.517, 79.468, 223.245, 237.803
-20, 19, 59, 20, 10, 171.22, 188.559, 806.902, 646.518
-33, 22, 125, 32, 16, 429.449, 470.83, 4266.754, 1730.552
-10, 9, 20, 13, 7, 45.992, 65.625, 184.058, 158.271
-28, 25, 72, 35, 16, 232.323, 279.097, 4785.296, 1437.494
-17, 16, 36, 27, 14, 76.574, 114.347, 811.963, 381.957
-42, 30, 126, 44, 19, 368.41, 433.742, 11406.035, 2074.388
-19, 19, 35, 23, 12, 77.661, 125.291, 929.854, 418.154
-364, 232, 775, 97, 49, 1627590.632, 6127.516, 402601.378, 1742645.917
-11, 7, 24, 12, 7, 69.739, 99.588, 169.503, 178.582
-14, 11, 26, 17, 9, 65.837, 82.268, 218.566, 185.455
-17, 13, 52, 23, 12, 170.267, 189.899, 527.869, 804.642
-24, 24, 46, 15, 8, 94.473, 142.665, 2000.208, 249.087
-9, 8, 18, 13, 7, 40.397, 58.249, 116.699, 155.991
-11, 10, 25, 16, 8, 76.916, 92.268, 225.163, 307.22
-41, 40, 111, 16, 8, 1412.227, 437.323, 11569.17, 2064.263
-33, 21, 83, 31, 14, 226.513, 228.35, 3674.225, 1011.952
-15, 12, 48, 22, 12, 111.927, 148.965, 739.696, 477.961
-24, 9, 404, 28, 22, 1460.828, 1519.789, 30307.044, 6235.445
+initial states, final states, transition count, predicate count, minterm count,incremental time, standard time, Moore time, upfront incremental time, BFS incremental 
+25, 17, 98, 12, 6, 3.988342, 2.512158, 100.809204, 6.007068, 196.369641
+35, 25, 89, 36, 19, 1.814783, 1.529256, 7.031753, 6.73306, 1.438093
+14, 11, 28, 18, 10, 1.027645, 0.275499, 79.875681, 3.609818, 0.930449
+10, 9, 23, 16, 8, 0.479367, 0.662936, 1.292658, 1.425758, 0.402273
+15, 13, 28, 14, 7, 0.341028, 0.541765, 1.625547, 0.578997, 0.280796
+4, 3, 5, 3, 2, 0.078735, 0.083631, 0.068542, 0.107937, 0.067923
+5, 3, 9, 3, 2, 0.109447, 0.103636, 0.097535, 0.138456, 0.092712
+8, 4, 20, 6, 4, 0.203673, 0.178379, 0.190634, 0.292847, 0.2001
+5, 3, 11, 4, 3, 0.118796, 0.107923, 0.093236, 0.145527, 0.102461
+7, 3, 19, 4, 3, 0.241911, 0.150207, 0.172425, 0.329457, 0.217703
+17, 12, 41, 21, 11, 0.310285, 0.343502, 2.389462, 1.304711, 0.367528
+5, 5, 8, 3, 2, 0.055796, 0.109147, 0.090872, 0.089302, 0.051655
+3, 2, 5, 3, 2, 0.064805, 0.068792, 0.039952, 0.070519, 0.057192
+4, 3, 7, 3, 2, 0.063342, 0.069402, 0.052841, 0.07164, 0.056427
+24, 24, 49, 6, 3, 0.392097, 0.570024, 4.210272, 0.559227, 0.381927
+15, 13, 28, 8, 5, 0.185402, 0.41432, 1.300382, 0.317322, 0.186984
+31, 8, 103, 13, 7, 0.867221, 0.877407, 5.340876, 1.600287, 0.893169
+3, 2, 5, 3, 2, 0.05562, 0.060331, 0.22132, 0.085562, 0.043454
+5, 4, 7, 3, 2, 0.052396, 0.061662, 0.052852, 0.060509, 0.047989
+1, 1, 1, 1, 1, 0.012252, 0.001244, 0.009562, 0.006774, 0.005867
+4, 3, 7, 3, 2, 0.057106, 0.065258, 0.03787, 0.05843, 0.049554
+10, 7, 23, 10, 5, 0.153856, 0.154494, 0.257118, 0.242879, 0.138467
+4, 3, 7, 5, 3, 0.068693, 0.065867, 0.035342, 0.075989, 0.052415
+111, 21, 531, 24, 10, 36.963119, 5.045767, 76.293762, 33.573228, 8.864249
+1, 1, 1, 1, 1, 0.012519, 0.001294, 0.005115, 0.006359, 0.005505
+3, 3, 4, 3, 2, 0.03338, 0.075614, 0.053399, 0.053391, 0.024311
+15, 14, 36, 14, 7, 0.291115, 0.247918, 0.469702, 0.600756, 0.303317
+10, 10, 21, 10, 5, 0.103149, 0.131337, 0.201824, 0.174785, 0.121353
+4, 4, 6, 5, 3, 0.048916, 0.082864, 0.037471, 0.043256, 0.027663
+1, 1, 1, 1, 1, 0.007637, 0.001009, 8.03E-4, 0.005063, 0.004505
+35, 9, 109, 28, 21, 0.970943, 0.565205, 3.481061, 3.056262, 0.78031
+10, 9, 24, 5, 3, 0.15194, 0.169758, 0.202907, 0.208347, 0.141997
+6, 6, 10, 9, 5, 0.050379, 0.072389, 0.092728, 0.094477, 0.043231
+13, 9, 29, 13, 6, 0.140544, 0.163282, 0.363808, 0.258689, 0.132578
+36, 17, 173, 26, 11, 1.091184, 0.943155, 15.149033, 2.6602, 1.068695
+20, 13, 46, 20, 10, 0.338832, 0.283871, 0.924245, 0.748839, 0.370583
+44, 18, 161, 27, 10, 1.655363, 1.125672, 6.990824, 3.129608, 1.278218
+7, 5, 14, 5, 3, 0.066327, 0.08514, 0.079077, 0.087935, 0.058604
+10, 8, 22, 9, 5, 0.079099, 0.133364, 0.240477, 0.128888, 0.072724
+48, 39, 167, 31, 10, 1.582976, 1.198158, 11.195013, 2.781857, 1.004428
+9, 6, 16, 9, 5, 0.136475, 0.119591, 0.101401, 0.115141, 0.069853
+7, 5, 14, 5, 3, 0.062185, 0.083499, 0.084046, 0.098315, 0.053611
+40, 15, 171, 30, 16, 1.085223, 1.09376, 8.004376, 2.815864, 0.966827
+10, 7, 26, 11, 6, 0.141637, 0.162822, 0.203366, 0.270637, 0.124992
+121, 56, 389, 45, 14, 14.575288, 2.891818, 68.103309, 17.097581, 8.349331
+61, 40, 147, 40, 14, 1.434541, 1.21351, 26.639311, 2.412185, 1.02979
+917, 114, 5506, 97, 36, 158327.481955, 93.792108, 14823.974426, 179982.788666, 23095.192061
+64, 35, 177, 36, 13, 1.741245, 1.540126, 11.987415, 3.075973, 1.120538
+35, 22, 97, 23, 12, 0.427641, 0.549658, 5.390346, 0.901488, 0.373202
+62, 35, 147, 35, 13, 1.20898, 0.78174, 10.4773, 2.290651, 0.816304
+68, 42, 157, 42, 14, 2.140014, 1.293096, 11.648351, 3.315426, 1.078906
+68, 42, 157, 42, 14, 2.16886, 0.846742, 11.78053, 3.40077, 1.00385
+68, 42, 157, 38, 13, 2.12386, 0.857409, 11.363232, 3.28439, 1.068051
+16, 10, 36, 13, 6, 0.127121, 0.211467, 0.610449, 0.213691, 0.130743
+17, 11, 35, 15, 7, 0.121602, 0.227604, 0.775113, 0.227595, 0.107945
+65, 30, 150, 36, 13, 1.962995, 0.754991, 10.482218, 3.188571, 1.082211
+68, 34, 152, 39, 14, 2.111741, 0.837715, 17.36363, 3.582576, 1.148981
+50, 30, 115, 33, 11, 0.843543, 0.588637, 5.05739, 1.657751, 0.613421
+58, 31, 125, 31, 11, 0.922814, 0.665487, 8.072974, 1.812927, 0.725928
+15, 11, 28, 7, 4, 0.113541, 0.166286, 0.436297, 0.165681, 0.091189
+23, 17, 53, 20, 13, 0.427619, 0.308523, 0.781152, 1.374322, 0.431726
+44, 41, 111, 16, 8, 0.585088, 0.630745, 4.770821, 1.285938, 0.427014
+1, 1, 1, 1, 1, 0.011528, 0.020078, 0.013825, 0.003165, 0.002455
+55, 31, 155, 30, 12, 1.130026, 0.767921, 17.531046, 2.073646, 0.850937
+534, 5, 3367, 13, 8, 49.731602, 10.098987, 2208.547852, 59.023783, 48.023027
+29, 4, 58, 2, 2, 0.304868, 0.203436, 0.858297, 0.372738, 0.282113
+154, 114, 635, 75, 21, 84.581156, 4.923386, 96.580744, 99.644122, 12.42643
+23, 17, 53, 23, 12, 0.23762, 0.396152, 1.077929, 0.895077, 0.196787
+43, 35, 115, 30, 14, 0.61597, 0.7248, 4.72695, 2.1664, 0.520732
+44, 17, 179, 32, 14, 1.444801, 1.569618, 8.984663, 4.249846, 1.223674
+43, 34, 116, 30, 14, 0.72179, 0.714203, 4.058888, 2.565816, 0.545224
+38, 27, 86, 36, 18, 0.558177, 0.448513, 1.992808, 1.886438, 0.426126
+22, 12, 60, 10, 4, 0.43535, 0.322287, 0.459703, 0.547694, 0.338176
+14, 12, 28, 10, 6, 0.079532, 0.124723, 0.454802, 0.174111, 0.072416
+37, 18, 106, 21, 9, 0.63354, 0.457865, 3.3429, 1.162542, 0.501827
+15, 12, 33, 17, 7, 0.11124, 0.147358, 0.436755, 0.231494, 0.099651
+20, 15, 42, 21, 8, 0.156919, 0.22225, 1.118131, 0.378474, 0.137208
+9, 8, 17, 12, 6, 0.047891, 0.080188, 0.131366, 0.0958, 0.082865
+38, 20, 81, 32, 11, 0.574527, 0.506231, 2.115284, 1.017878, 0.456874
+44, 21, 107, 16, 8, 0.83174, 0.499185, 3.112074, 1.184508, 0.590273
+20, 15, 42, 21, 8, 0.152049, 0.204679, 0.603995, 0.323819, 0.137945
+18, 17, 35, 12, 7, 0.102719, 0.183919, 0.933716, 0.291276, 0.106996
+27, 22, 57, 26, 10, 0.206625, 0.274637, 2.441993, 0.454495, 0.197618
+20, 17, 35, 9, 5, 0.098229, 0.184046, 1.054171, 0.205632, 0.098847
+56, 50, 151, 16, 8, 1.325584, 0.919713, 5.217623, 2.211547, 0.77835
+13, 11, 25, 20, 11, 0.082029, 0.150848, 0.243767, 0.259151, 0.076045
+143, 12, 627, 96, 26, 53.870204, 2.339805, 88.077829, 75.776629, 11.112116
+179, 94, 392, 48, 25, 46.22559, 2.459562, 113.602437, 65.104393, 6.767789
+19, 16, 44, 14, 8, 0.173636, 0.290982, 1.295731, 0.372082, 0.139681
+1, 1, 1, 1, 1, 0.004162, 0.001477, 0.008785, 0.002064, 0.001932
+21, 15, 50, 17, 11, 0.195612, 0.249334, 1.609953, 0.495091, 0.180402
+18, 17, 38, 12, 7, 0.134906, 0.184579, 1.029674, 0.256103, 0.113445
+17, 16, 36, 12, 7, 0.153682, 0.219768, 0.868498, 0.237613, 0.135399
+34, 27, 133, 33, 15, 0.80013, 0.601859, 3.336713, 1.975588, 0.738371
+61, 31, 126, 18, 9, 0.9123, 0.620561, 6.660963, 1.842946, 0.685637
+12, 11, 23, 12, 7, 0.077659, 0.115414, 0.283584, 0.152383, 0.065684
+27, 23, 55, 25, 11, 0.203014, 0.265887, 2.983346, 0.419911, 0.163706
+35, 33, 75, 17, 8, 0.369603, 0.423139, 4.003449, 0.687279, 0.307482
+113, 55, 651, 23, 12, 19.474988, 2.838157, 72.391846, 26.150072, 10.323566
+22, 16, 51, 23, 8, 0.215343, 0.293504, 1.404839, 0.442975, 0.17727
+1024, 1024, 3070, 4, 3, 161097.558113, 47.380866, 3522.035342, 164064.880791, 3726.742767
+1, 1, 1, 1, 1, 0.005586, 0.001639, 6.9E-4, 0.002199, 0.001872
+17, 16, 37, 20, 9, 0.117194, 0.179332, 0.564477, 0.233728, 0.100466
+9, 7, 17, 6, 3, 0.072832, 0.120935, 0.122543, 0.137643, 0.066115
+261, 22, 779, 5, 3, 2807.467966, 7.222182, 356.522515, 2787.000428, 98.71263
+43, 25, 99, 31, 9, 1.05828, 0.824495, 1.650416, 1.619144, 0.725603
+36, 32, 102, 19, 10, 0.492425, 0.486056, 4.673899, 1.062988, 0.301012
+36, 6, 126, 7, 4, 1.126396, 0.538982, 2.163638, 2.091509, 0.914518
+14, 9, 37, 14, 7, 0.155334, 0.16135, 0.456189, 0.448543, 0.14937
+1, 1, 1, 1, 1, 0.003449, 0.019175, 5.85E-4, 0.001845, 0.001863
+9, 2, 36, 4, 4, 0.153294, 0.137105, 0.152126, 0.352385, 0.162259
+8, 7, 17, 10, 5, 0.106008, 0.10952, 0.10798, 0.132881, 0.094573
+10, 3, 34, 6, 4, 0.121525, 0.147905, 0.172035, 0.251454, 0.126954
+38, 31, 80, 14, 5, 0.470664, 0.328121, 2.789274, 0.757227, 0.351207
+432, 98, 1826, 18, 8, 11088.927289, 19.952865, 1132.604379, 11164.749987, 433.483393
+25, 25, 51, 19, 9, 0.131853, 0.171901, 2.026327, 0.232476, 0.122101
+37, 30, 79, 11, 5, 0.440629, 0.258985, 1.501487, 0.682088, 0.409344
+23, 23, 47, 12, 6, 0.124955, 0.159588, 1.067959, 0.200542, 0.144784
+1, 1, 1, 1, 1, 0.002823, 9.36E-4, 5.79E-4, 0.001966, 0.00174
+19, 18, 42, 9, 5, 0.134601, 0.204876, 1.027597, 0.21531, 0.129081
+28, 17, 64, 18, 10, 0.233628, 0.207358, 2.795405, 0.550738, 0.192511
+90, 57, 247, 28, 14, 3.115569, 0.924102, 30.632251, 4.838136, 1.848858
+1, 1, 1, 1, 1, 0.004215, 0.001255, 6.7E-4, 0.00196, 0.001919
+1, 1, 1, 1, 1, 0.002543, 8.36E-4, 6.11E-4, 0.001766, 0.001657
+85, 1, 777, 27, 17, 3.053661, 1.729129, 45.314432, 8.75257, 2.989571
+12, 12, 24, 6, 3, 0.071807, 0.157622, 0.219588, 0.096546, 0.090092
+40, 25, 120, 24, 9, 0.692203, 0.604297, 4.386762, 1.287586, 0.516858
+43, 19, 130, 7, 5, 0.467808, 0.4766, 9.42177, 0.812983, 0.451678
+93, 28, 300, 32, 10, 16.221639, 1.209978, 14.283999, 20.501847, 3.481692
+197, 49, 532, 33, 10, 218.004542, 2.204061, 56.549028, 218.886868, 18.672659
+83, 32, 193, 38, 11, 3.292817, 0.959105, 12.893563, 4.532048, 1.52104
+17, 1, 50, 7, 4, 0.173132, 0.125831, 0.293989, 0.271033, 0.171463
+89, 21, 690, 28, 14, 15.5879, 2.634586, 49.957914, 23.452025, 5.895921
+14, 11, 26, 5, 3, 0.072833, 0.13137, 0.217367, 0.10144, 0.067581
+184, 21, 472, 4, 3, 5.13926, 1.057069, 160.826033, 8.436861, 4.395471
+33, 23, 103, 29, 12, 0.60119, 0.513121, 2.285511, 1.088526, 0.501842
+154, 73, 753, 51, 14, 122.912216, 3.974828, 130.142645, 131.482126, 23.073952
+47, 34, 111, 40, 19, 0.798844, 0.484773, 4.433453, 2.511237, 8.68694
+431, 184, 2895, 76, 22, 9898.973829, 27.031776, 1076.59802, 10204.71917, 686.767122
+224, 20, 3195, 72, 32, 379.421124, 17.174567, 4144.260885, 343.141717, 67.720923
+354, 62, 2621, 78, 32, 5213.198558, 14.096826, 1200.041058, 5644.545005, 378.918436
+24, 20, 51, 31, 17, 0.17477, 0.227826, 1.05976, 0.699617, 0.191239
+33, 17, 117, 25, 13, 0.623677, 0.457758, 3.983937, 1.803964, 0.489977
+29, 14, 98, 20, 9, 0.668158, 0.52099, 2.224257, 2.302004, 0.625314
+19, 12, 44, 18, 9, 0.140726, 0.149179, 0.620621, 0.507234, 0.138978
+8, 5, 20, 7, 4, 0.09472, 0.064066, 0.067111, 0.108703, 0.056391
+27, 11, 74, 12, 5, 0.395432, 0.25865, 0.70935, 0.581487, 0.282536
+6, 5, 10, 3, 2, 0.037237, 0.035326, 0.065099, 0.032853, 0.022353
+41, 18, 102, 14, 8, 0.329853, 0.255037, 4.503514, 0.670397, 0.329836
+9, 7, 32, 11, 7, 0.081352, 0.087096, 0.146942, 0.203236, 0.078615
+11, 9, 32, 17, 10, 0.071316, 0.083042, 0.155845, 0.232779, 0.073796
+12, 7, 21, 3, 2, 0.100618, 0.061374, 0.154859, 0.137785, 0.115814
+47, 12, 166, 15, 8, 2.096849, 0.518981, 3.822743, 2.884668, 1.029214
+6, 3, 16, 4, 3, 0.041926, 0.048653, 0.042414, 0.072575, 0.039673
+47, 27, 96, 10, 6, 0.646399, 0.329987, 3.326293, 0.951568, 0.440814
+17, 15, 38, 12, 7, 0.101231, 0.146417, 0.828228, 0.283305, 0.09424
+20, 19, 44, 12, 6, 0.12556, 0.15044, 0.684428, 2.358493, 0.174361
+22, 18, 51, 27, 10, 0.161508, 0.18452, 1.505737, 0.365178, 0.213566
+18, 15, 42, 18, 7, 0.12186, 0.147957, 0.878152, 0.273137, 0.114342
+22, 16, 50, 21, 8, 0.148405, 0.188254, 1.205728, 0.430642, 0.143395
+56, 18, 139, 27, 17, 1.143707, 0.590022, 11.404342, 3.500974, 0.742567
+48, 39, 102, 51, 27, 0.723184, 0.381817, 6.670475, 2.143374, 0.410681
+26, 11, 50, 17, 9, 0.209405, 0.172483, 0.584011, 0.352113, 0.189128
+9, 7, 17, 12, 7, 0.043239, 0.052658, 0.071092, 0.097498, 0.043508
+123, 40, 245, 27, 13, 8.459195, 1.068375, 23.553153, 10.530488, 2.951945
+16, 16, 32, 10, 5, 0.070756, 0.141177, 0.663317, 0.143167, 0.129865
+33, 27, 103, 15, 7, 0.409058, 0.569883, 5.062185, 0.922264, 0.325202
+28, 18, 70, 29, 11, 0.400555, 0.31845, 1.152412, 0.741352, 0.367961
+8, 7, 15, 10, 7, 0.064238, 0.068634, 0.129001, 0.176256, 0.063217
+33, 18, 104, 22, 10, 0.436042, 0.353721, 3.548098, 0.894553, 0.368582
+47, 25, 125, 17, 8, 1.223077, 0.467702, 3.572314, 1.712632, 0.804135
+21, 17, 43, 10, 5, 0.130544, 0.138852, 1.262808, 0.239279, 0.1247
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diff --git a/IncrementalMinimization/results/heatmap.png b/IncrementalMinimization/results/heatmap.png
index 3d56bca0..516d5f97 100644
Binary files a/IncrementalMinimization/results/heatmap.png and b/IncrementalMinimization/results/heatmap.png differ
diff --git a/IncrementalMinimization/results/record_test.txt b/IncrementalMinimization/results/record_test.txt
index 42be3507..2c15c77a 100644
--- a/IncrementalMinimization/results/record_test.txt
+++ b/IncrementalMinimization/results/record_test.txt
@@ -1,165 +1,165 @@
-initial states, 0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 
-2, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 100.000000, 
-3, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 2.380952, 2.380952, 2.380952, 2.380952, 100.000000, 
-4, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 1.587302, 1.587302, 1.587302, 1.587302, 100.000000, 
-5, 0.000000, 0.000000, 0.000000, 0.000000, 2.857143, 8.571429, 12.857143, 12.857143, 13.571429, 15.000000, 100.000000, 
-6, 0.000000, 0.000000, 1.041667, 4.166667, 10.416667, 18.055556, 21.180556, 23.263889, 23.263889, 25.000000, 100.000000, 
-7, 0.000000, 0.000000, 0.769231, 6.410256, 16.153846, 19.102564, 22.564103, 29.487179, 36.794872, 38.461538, 100.000000, 
-8, 0.000000, 0.000000, 2.298851, 9.482759, 16.235632, 18.534483, 29.597701, 34.051724, 36.522989, 38.505747, 100.000000, 
-9, 0.000000, 0.000000, 2.595628, 4.071038, 9.594067, 14.839969, 20.117096, 21.893052, 26.444184, 28.805621, 100.000000, 
-10, 0.000000, 0.416667, 3.305556, 11.277778, 15.857143, 20.968254, 26.206349, 33.420635, 34.865079, 43.686508, 100.000000, 
-11, 0.000000, 0.520833, 5.451389, 9.444444, 14.270833, 20.892857, 26.934524, 31.622024, 39.052579, 41.577381, 100.000000, 
-12, 0.000000, 0.978261, 6.257764, 10.062112, 16.909938, 23.043478, 26.366460, 32.598344, 41.915114, 45.429607, 100.000000, 
-13, 0.000000, 0.425532, 6.347518, 7.836879, 11.187943, 14.468085, 22.011145, 29.480750, 39.037487, 44.143870, 100.000000, 
-14, 0.000000, 1.666667, 9.137159, 16.701262, 26.766382, 32.157102, 36.992267, 42.944648, 49.511600, 56.208791, 100.000000, 
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-16, 0.000000, 2.447090, 7.713294, 10.606812, 15.815146, 21.567460, 28.511905, 51.240588, 59.686101, 63.586564, 100.000000, 
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-32, 0.000000, 7.201518, 17.445282, 30.054409, 44.509945, 55.404405, 66.610655, 70.820024, 76.328811, 84.862159, 100.000000, 
-33, 0.000000, 5.024630, 11.647267, 22.220521, 33.205693, 44.452513, 49.570520, 53.808897, 63.856219, 70.401695, 100.000000, 
-34, 0.000000, 11.252346, 20.445020, 32.197117, 38.193968, 47.717359, 52.670284, 62.174484, 71.684195, 78.871674, 100.000000, 
-35, 0.000000, 10.223759, 20.125576, 32.699737, 38.417236, 52.570834, 54.206012, 56.587303, 61.499717, 72.866614, 100.000000, 
-36, 0.000000, 11.428360, 19.585671, 38.653670, 42.040251, 52.718499, 59.370187, 65.086992, 67.660521, 72.694915, 100.000000, 
-37, 0.000000, 11.004464, 18.260169, 37.870558, 44.354933, 53.369070, 59.965052, 63.380344, 74.156633, 82.028657, 100.000000, 
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-39, 0.000000, 12.846132, 17.502216, 26.494096, 37.525983, 41.782272, 48.912302, 58.679819, 65.791812, 80.712447, 100.000000, 
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-41, 0.000000, 18.763730, 31.857689, 40.428073, 46.710887, 52.269824, 58.790134, 62.854231, 67.171870, 73.394482, 100.000000, 
-42, 0.000000, 9.761905, 19.571429, 36.960317, 49.277778, 54.611111, 62.476190, 66.571429, 71.793651, 75.182540, 100.000000, 
-43, 0.000000, 15.100724, 27.622987, 41.664091, 47.463077, 57.508704, 63.957574, 71.934562, 79.232697, 85.817553, 100.000000, 
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+355, 0.000000, 71.259843, 71.259843, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 80.314961, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.212598, 99.606299, 99.606299, 100.000000, 100.000000, 100.000000, 100.000000, 100.000000, 
+364, 0.000000, 37.121212, 38.636364, 46.969697, 50.757576, 54.545455, 58.333333, 58.333333, 59.090909, 59.848485, 61.363636, 61.363636, 62.121212, 62.878788, 63.636364, 64.393939, 65.151515, 65.151515, 65.909091, 65.909091, 68.939394, 68.939394, 72.727273, 72.727273, 73.484848, 73.484848, 73.484848, 73.484848, 73.484848, 75.000000, 75.000000, 76.515152, 77.272727, 77.272727, 78.787879, 78.787879, 78.787879, 78.787879, 80.303030, 80.303030, 81.060606, 81.060606, 82.575758, 83.333333, 84.848485, 84.848485, 84.848485, 84.848485, 84.848485, 84.848485, 84.848485, 86.363636, 86.363636, 86.363636, 86.363636, 86.363636, 86.363636, 86.363636, 87.878788, 87.878788, 87.878788, 87.878788, 87.878788, 87.878788, 89.393939, 89.393939, 89.393939, 89.393939, 90.151515, 90.909091, 90.909091, 90.909091, 90.909091, 90.909091, 90.909091, 91.666667, 92.424242, 92.424242, 92.424242, 92.424242, 92.424242, 93.939394, 93.939394, 93.939394, 94.696970, 94.696970, 94.696970, 94.696970, 94.696970, 94.696970, 94.696970, 94.696970, 94.696970, 96.969697, 97.727273, 97.727273, 97.727273, 97.727273, 98.484848, 98.484848, 100.000000, 
+365, 0.000000, 0.000000, 0.000000, 4.444444, 20.000000, 20.000000, 20.000000, 20.000000, 21.111111, 21.111111, 21.666667, 43.888889, 43.888889, 43.888889, 43.888889, 43.888889, 43.888889, 43.888889, 43.888889, 65.000000, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 66.666667, 67.222222, 67.777778, 68.333333, 68.333333, 68.333333, 68.333333, 68.333333, 68.333333, 68.333333, 68.888889, 70.000000, 70.555556, 70.555556, 70.555556, 71.666667, 72.222222, 72.777778, 72.777778, 73.333333, 73.333333, 73.888889, 74.444444, 75.000000, 76.111111, 77.777778, 79.444444, 79.444444, 79.444444, 80.000000, 80.000000, 80.000000, 80.000000, 80.000000, 80.555556, 81.111111, 81.111111, 81.111111, 81.111111, 81.111111, 81.111111, 81.111111, 81.111111, 81.111111, 81.111111, 81.111111, 81.666667, 82.777778, 83.888889, 83.888889, 85.000000, 86.666667, 88.333333, 90.000000, 94.444444, 100.000000, 
diff --git a/IncrementalMinimization/results/second_record_test.txt b/IncrementalMinimization/results/second_record_test.txt
new file mode 100644
index 00000000..e69de29b
diff --git a/IncrementalMinimization/src/IncrementalMinimization.java b/IncrementalMinimization/src/IncrementalMinimization.java
index 8ba3b895..864066f7 100644
--- a/IncrementalMinimization/src/IncrementalMinimization.java
+++ b/IncrementalMinimization/src/IncrementalMinimization.java
@@ -64,7 +64,7 @@ public EquivTest(DisjointSets<Integer> equivClasses, HashSet<List<Integer>> equi
 			this.path = path;
 		}
 		
-		private List<SFAInputMove<P,S>> findNonDisjointMoves(Collection<SFAInputMove<P, S>> outp, 
+		protected List<SFAInputMove<P,S>> findNonDisjointMoves(Collection<SFAInputMove<P, S>> outp, 
 				Collection<SFAInputMove<P, S>> outq) throws TimeoutException
 		{
 			//TODO: look into local minterm generation, can be more efficient?
@@ -85,11 +85,11 @@ private List<SFAInputMove<P,S>> findNonDisjointMoves(Collection<SFAInputMove<P,
 		
 		public boolean isEquiv(Integer p, Integer q) throws TimeoutException
 		{
-			List<Integer> pair = normalize(p,q); //Should already be normalized
 			if (isKnownNotEqual(p,q))
 			{
 				return false;
 			}
+			List<Integer> pair = normalize(p,q);
 			if (path.contains(pair))
 			{
 				return true;
@@ -146,6 +146,90 @@ public HashSet<List<Integer>> getPath()
 		}
 	}
 	
+	private class EquivTestBFS extends EquivTest
+	{
+		public class EquivRecord
+		{
+			public Integer pState;
+			public Integer qState;
+			public HashSet <List<Integer>> curPath;
+			
+			public EquivRecord(Integer p, Integer q, HashSet<List<Integer>> curPath)
+			{
+				this.pState = p;
+				this.qState = q;
+				this.curPath = curPath;
+			}
+		}
+		
+		public EquivTestBFS(DisjointSets<Integer> equivClasses, HashSet<List<Integer>> equiv, 
+				HashSet<List<Integer>> path)
+		{
+			super(equivClasses, equiv, path);
+		}
+		
+		@Override
+		public boolean isEquiv(Integer pStart, Integer qStart) throws TimeoutException
+		{
+			if (isKnownNotEqual(pStart,qStart))
+			{
+				return false;
+			}
+			EquivRecord start = new EquivRecord(pStart,qStart,path);
+			Queue<EquivRecord> testQueue = new LinkedList<EquivRecord>();
+			testQueue.add(start);
+			while (!testQueue.isEmpty())
+			{
+				EquivRecord curEquivTest = testQueue.remove();
+				Integer p = curEquivTest.pState;
+				Integer q = curEquivTest.qState;
+				HashSet<List<Integer>> curPath = curEquivTest.curPath;
+				List<Integer> pair = normalize(p,q);
+				HashSet<List<Integer>> newPath = new HashSet<List<Integer>>(curPath);
+				newPath.add(pair);
+				Collection<SFAInputMove<P,S>> outp = new ArrayList<SFAInputMove<P,S>>(aut.getInputMovesFrom(p));
+				Collection<SFAInputMove<P,S>> outq = new ArrayList<SFAInputMove<P,S>>(aut.getInputMovesFrom(q));
+				while(!outp.isEmpty() && !outq.isEmpty())
+				{			
+					List<SFAInputMove<P,S>> nonDisjointGuards = findNonDisjointMoves(outp, outq);
+					SFAInputMove<P,S> pMove = nonDisjointGuards.get(0);
+					SFAInputMove<P,S> qMove = nonDisjointGuards.get(1);
+					Integer pNextClass = equivClasses.find(pMove.to);
+					Integer qNextClass = equivClasses.find(qMove.to);
+					List<Integer> nextPair = normalize(pNextClass, qNextClass);
+					if(!pNextClass.equals(qNextClass) && !equiv.contains(nextPair))
+					{
+						if(isKnownNotEqual(pNextClass,qNextClass))
+						{
+							this.path = newPath;
+							return false;
+						}
+						if (!newPath.contains(nextPair))
+						{
+							equiv.add(nextPair); //Currently equiv added to all pairs in queues WIHTOUT changing, if incorrect - copy first
+							EquivRecord nextTest = new EquivRecord(pNextClass, qNextClass, newPath);
+							testQueue.add(nextTest);
+						}
+					}
+					outp.remove(pMove);
+					outq.remove(qMove);
+					P newPGuard = ba.MkAnd(pMove.guard, ba.MkNot(qMove.guard));
+					if (ba.IsSatisfiable(newPGuard))
+					{
+						outp.add(new SFAInputMove<P,S>(pMove.from, pMove.to, newPGuard));
+					}
+					P newQGuard = ba.MkAnd(qMove.guard, ba.MkNot(pMove.guard));
+					if (ba.IsSatisfiable(newQGuard))
+					{
+						outq.add(new SFAInputMove<P,S>(qMove.from, qMove.to, newQGuard));
+					}
+				}
+			}
+			equiv.add(normalize(pStart, qStart));
+			return true;
+		}
+	}
+	
 	private class EquivTestUpfront extends EquivTest
 	{
 		
@@ -174,13 +258,14 @@ private Integer mintermTransition(Integer state, P minterm) throws TimeoutExcept
 			return toState;
 		}
 		
+		@Override
 		public boolean isEquiv(Integer p, Integer q) throws TimeoutException, TimeBudgetExceeded
 		{
-			List<Integer> pair = normalize(p,q); //Should already be normalized
 			if (isKnownNotEqual(p,q))
 			{
 				return false;
 			}
+			List<Integer> pair = normalize(p,q);
 			if (path.contains(pair))
 			{
 				return true;
@@ -228,13 +313,14 @@ public int compare(Integer a, Integer b)
 		
 	}
 	
+	@SuppressWarnings("unchecked")
 	public static <P,S> SFA<P,S> incrementalMinimize(SFA<P,S> aut, BooleanAlgebra<P,S> ba, long budget, boolean upfront) 
 			throws TimeoutException
 	{
 		try
 		{
 			IncrementalMinimization<P,S> min = new IncrementalMinimization<P,S>(aut, ba);
-			return min.minimize(budget, upfront, false);
+			return min.minimize(budget, upfront, false, false);
 		}
 		catch(TimeBudgetExceeded e)
 		{
@@ -252,6 +338,12 @@ public static <P,S> SFA<P,S> incrementalMinimize(SFA<P,S> aut, BooleanAlgebra<P,
 		return incrementalMinimize(aut, ba, Long.MAX_VALUE, false); //Default time budget 200+ years (i.e. there is none)
 	}
 	
+	public static <P,S> SFA<P,S> incrBFSMinimize(SFA<P,S> aut, BooleanAlgebra<P,S> ba) throws TimeoutException
+	{
+		IncrementalMinimization<P,S> bfsMin = new IncrementalMinimization<P,S>(aut,ba);
+		return bfsMin.minimize(Long.MAX_VALUE, false, false, true);
+	}
+	
 	private final SFA<P,S> aut;
 	private final BooleanAlgebra<P,S> ba;
 	private final int num_pairs;
@@ -412,13 +504,14 @@ private void timeCheck(long endTime, DisjointSets<Integer> equivClasses) throws
 			throw new TimeBudgetExceeded(curAut);
 			/* Current time budget implementation intended to test % of automata minimization given
 			 * a set period of time. However, it does not necessarily return this mostly minimized
-			 * automata exactly after the budget is met (this is deinitiely possible, just not with
-			 * present implementation).
+			 * automata exactly after the budget is met (this is definitely possible, just not with
+			 * present implementation), i.e. there will likely be a delay between the exceeding of time
+			 * budget and the returning of a partially minimized automata.
 			 */
 		}
 	}
 	
-	public SFA<P, S> minimize(long budget, boolean upfront, boolean recordMinimization) 
+	public SFA<P, S> minimize(long budget, boolean upfront, boolean recordMinimization, boolean bfs) 
 			throws TimeoutException
 	{
 		this.startTime = System.nanoTime();
@@ -474,14 +567,18 @@ else if(equivClasses.find(p) == equivClasses.find(q))
 				HashSet<List<Integer>> path = new HashSet<List<Integer>>(num_pairs,0.9f);
 				timeCheck(endTime, equivClasses);
 				EquivTest pEquiv;
-				if(!upfront)
+				if(upfront)
 				{
-					pEquiv = new EquivTest(equivClasses, equiv, path);
+					pEquiv = new EquivTestUpfront(equivClasses, upfront_minterms, equiv, path);
 
 				}
+				else if (bfs)
+				{
+					pEquiv = new EquivTestBFS(equivClasses, equiv, path);
+				}
 				else
 				{
-					pEquiv = new EquivTestUpfront(equivClasses, upfront_minterms, equiv, path);
+					pEquiv = new EquivTest(equivClasses, equiv, path);
 				}
 				boolean isequiv = pEquiv.isEquiv(p, q);
 				equiv = pEquiv.getEquiv();
@@ -492,7 +589,6 @@ else if(equivClasses.find(p) == equivClasses.find(q))
 					for(List<Integer> equivPair : equiv)
 					{
 						equivClasses.union(equivPair.get(0), equivPair.get(1));
-						//equivClasses.union(equivPair.get(0), equivPair.get(1));
 					}
 					if(recordMinimization)
 					{
@@ -518,7 +614,7 @@ else if(equivClasses.find(p) == equivClasses.find(q))
 	public LinkedHashMap<Long, Integer> getRecord() throws TimeoutException
 	{
 		LinkedHashMap<Long,Integer> actualRecord = new LinkedHashMap<Long, Integer>();
-		actualRecord.put(this.startTime, aut.stateCount());
+		actualRecord.put(new Long(0), aut.stateCount());
 		if (singularRecord != null)
 		{
 			actualRecord.put(singularRecord, 1);
@@ -526,7 +622,8 @@ public LinkedHashMap<Long, Integer> getRecord() throws TimeoutException
 		}
 		for(Long time : record.keySet())
 		{
-			actualRecord.put(time, record.get(time));
+			assert(time > this.startTime);
+			actualRecord.put(time -this.startTime, record.get(time));
 		}
 		return actualRecord;
 	}
diff --git a/IncrementalMinimization/src/TestIncrementalMinimization.java b/IncrementalMinimization/src/TestIncrementalMinimization.java
index 3788cba9..5bad65a6 100644
--- a/IncrementalMinimization/src/TestIncrementalMinimization.java
+++ b/IncrementalMinimization/src/TestIncrementalMinimization.java
@@ -136,7 +136,7 @@ public void testCharPred() throws TimeoutException
 		Assert.assertTrue(incrMinAut.stateCount() <= stdMinAut.stateCount());
 	}
 	
-	//@Test
+	@Test
 	public void testCompare() throws TimeoutException, IOException
 	{
 		System.out.println("========================");
@@ -185,10 +185,20 @@ public void testCompare() throws TimeoutException, IOException
 			long stdStart = System.nanoTime();
 			SFA<CharPred, Character> stdMinAut;
 			stdMinAut = aut.minimize(ba);
-			Double stdTime = ((double)(System.nanoTime() - stdStart)/1000);
+			Double stdTime = ((double)(System.nanoTime() - stdStart)/1000000);
 			System.out.println("Standard minimized.");
 			
+			//moore minimization
+			long mooreStart = System.nanoTime();
+			SFA<CharPred, Character> mooreMinAut;
+			mooreMinAut = MooreMinimization.mooreMinimize(aut, ba);
+			Double mooreTime = ((double)(System.nanoTime() - mooreStart)/1000000);
+			Assert.assertTrue(SFA.areEquivalent(mooreMinAut, stdMinAut, ba));
+			Assert.assertTrue(mooreMinAut.stateCount() <= stdMinAut.stateCount());
+			System.out.println("Moore minimized.");
+			
 			//incremental minimization
+			System.out.println("Starting incremental minimization");
 			long incrStart = System.nanoTime();
 			SFA<CharPred, Character> incrMinAut;
 			try
@@ -205,7 +215,7 @@ public void testCompare() throws TimeoutException, IOException
 				System.out.println("Skipping because out of heap space"); //TODO Debug
 				continue;
 			}
-			Double incrTime = ((double)(System.nanoTime() - incrStart)/1000);
+			Double incrTime = ((double)(System.nanoTime() - incrStart)/1000000);
 			Assert.assertTrue(incrMinAut.isDeterministic(ba));
 			Assert.assertTrue(SFA.areEquivalent(incrMinAut, stdMinAut, ba));
 			Assert.assertTrue(incrMinAut.stateCount() <= stdMinAut.stateCount());
@@ -213,6 +223,7 @@ public void testCompare() throws TimeoutException, IOException
 			
 			
 			//DFAized incremental minimization
+			System.out.println("Starting upfront incremental");
 			long incrDFAStart = System.nanoTime();
 			SFA<CharPred, Character> upfrontMinAut;
 			try
@@ -229,10 +240,11 @@ public void testCompare() throws TimeoutException, IOException
 				System.out.println("Skipping because out of heap space"); //TODO Debug
 				continue;
 			}
-			Double upfrontTime = ((double)(System.nanoTime() - incrDFAStart)/1000);
+			Double upfrontTime = ((double)(System.nanoTime() - incrDFAStart)/1000000);
 			Assert.assertTrue(upfrontMinAut.stateCount() <= stdMinAut.stateCount());
 			Assert.assertTrue(SFA.areEquivalent(upfrontMinAut, stdMinAut, ba));
-			try
+			Assert.assertEquals(upfrontMinAut.stateCount(), incrMinAut.stateCount());
+			/*try
 			{
 				Assert.assertTrue(upfrontMinAut.stateCount() == incrMinAut.stateCount());
 			}
@@ -240,20 +252,29 @@ public void testCompare() throws TimeoutException, IOException
 			{
 				System.out.println(upfrontMinAut.stateCount());
 				System.out.println(incrMinAut.stateCount());
-			}
+				throw(e);
+			}*/
 			Assert.assertTrue(SFA.areEquivalent(upfrontMinAut, stdMinAut, ba));
 			System.out.println("Upfront Incremental minimized.");
 			
-			
-			//moore minimization
-			long mooreStart = System.nanoTime();
-			SFA<CharPred, Character> mooreMinAut;
-			mooreMinAut = MooreMinimization.mooreMinimize(aut, ba);
-			Double mooreTime = ((double)(System.nanoTime() - mooreStart)/1000);
-			Assert.assertTrue(SFA.areEquivalent(mooreMinAut, stdMinAut, ba));
-			Assert.assertTrue(mooreMinAut.stateCount() <= stdMinAut.stateCount());
-			System.out.println("Moore minimized.");
-			
+			//BFS incremental
+			System.out.println("Starting BFS incremental");
+			long bfsStart = System.nanoTime();
+			SFA<CharPred, Character> bfsMinAut;
+			try
+			{
+				bfsMinAut = IncrementalMinimization.incrBFSMinimize(aut, ba);
+			}
+			catch(TimeoutException e)
+			{
+				System.out.println("Skipping because of Timeout Exception"); //TODO: does this come up?
+				continue;
+			}
+			Double bfsTime = ((double)(System.nanoTime() - bfsStart)/1000000);
+			Assert.assertTrue(bfsMinAut.stateCount() <= stdMinAut.stateCount());
+			Assert.assertTrue(SFA.areEquivalent(bfsMinAut, stdMinAut, ba));
+			Assert.assertTrue(SFA.areEquivalent(bfsMinAut, incrMinAut, ba));
+			Assert.assertEquals(bfsMinAut.stateCount(), incrMinAut.stateCount());
 	
 			String initialStateCount = Integer.toString(aut.stateCount());
 			String transCount = Integer.toString(aut.getTransitionCount());
@@ -268,17 +289,17 @@ public void testCompare() throws TimeoutException, IOException
 			ArrayList<CharPred> predList = new ArrayList<CharPred>(predSet);
 			String mintermCount = Integer.toString(ba.GetMinterms(predList).size());
 			
-			String message = String.format("%s, %s, %s, %s, %s, %s, %s, %s, %s",
+			String message = String.format("%s, %s, %s, %s, %s, %s, %s, %s, %s, %s",
 					initialStateCount, finalStateCount, transCount, predCount, mintermCount,
 					Double.toString(incrTime), Double.toString(stdTime), Double.toString(mooreTime),
-					Double.toString(upfrontTime));
+					Double.toString(upfrontTime), Double.toString(bfsTime));
 			System.out.println(message);
 			messageList.add(message);
 		}
 		FileOutputStream file = new FileOutputStream("compare_test.txt");
 		Writer writer = new BufferedWriter(new OutputStreamWriter(file));
 		writer.write("initial states, final states, transition count, predicate count, minterm count," +
-				"incremental time, standard time, Moore time, upfront incremental time");
+				"incremental time, standard time, Moore time, upfront incremental time, BFS incremental \n");
 		for (String msg : messageList)
 		{
 			writer.write(msg + "\n");
@@ -286,7 +307,7 @@ public void testCompare() throws TimeoutException, IOException
 		writer.close();
 	}
 	
-	//@Test
+	@Test
 	public void testBudget() throws TimeoutException, IOException
 	{
 		//Similar to Regex test, but incremental minimization only given as long as 
@@ -436,7 +457,13 @@ private Double getMinimizedPercentage(Double curCount, Double initialCount, Doub
 		return percentage;
 	}
 	
-	@Test
+	private Double linearInterpolate(Integer x, Integer x0, Integer x1, Double y0, Double y1)
+	{
+		Double slope = (y1-y0)/(x1-x0);
+		return y0 + (x-x0)*slope;
+	}
+	
+	//@Test
 	public void testRecord() throws IOException
 	{
 		//TODO: cleanup + document
@@ -463,12 +490,17 @@ public void testRecord() throws IOException
 		ArrayList<String> messageList = new ArrayList<String>();
 		long timeout = 3600000; //determinization timeout = 1 hour
 		
-		Integer[] timeMilestones = {0,10,20,30,40,50,60,70,80,90,100};
+		Integer[] milestones = new Integer[101];
+		for(int i = 0; i < milestones.length; i++)
+		{
+			milestones[i] = i;
+		}
 		TreeMap<Integer, HashMap<Integer, Double>> fullMinimizationMap = new TreeMap<Integer, HashMap<Integer, Double>>();
+		TreeMap<Integer, HashMap<Integer, Double>> oppositeMap = new TreeMap<Integer, HashMap<Integer, Double>>();
 		HashMap<Integer, Double> repeatCount = new HashMap<Integer, Double>();
+		HashMap<Integer, Double> otherRepeat = new HashMap<Integer, Double>();
 		for(String regex : regexList)
 		{
-			System.out.println("Start");
 			SFA<CharPred, Character> aut = (new SFAprovider(regex, ba)).getSFA();
 			try
 			{
@@ -496,7 +528,7 @@ public void testRecord() throws IOException
 			{
 				IncrementalMinimization<CharPred,Character> recordMin = 
 						new IncrementalMinimization<CharPred, Character>(aut, ba);
-				incrMinAut = recordMin.minimize(Long.MAX_VALUE, false, true);
+				incrMinAut = recordMin.minimize(Long.MAX_VALUE, false, true, false);
 				record = recordMin.getRecord();
 			}
 			catch(TimeoutException e)
@@ -527,17 +559,17 @@ record = recordMin.getRecord();
 				continue;
 			}
 			HashMap<Integer, Double> minimizationTimes = new LinkedHashMap<Integer, Double>();
+			HashMap<Integer, Double> minimizationPercents = new LinkedHashMap<Integer, Double>();
 			minimizationTimes.put(0, 0.0);
+			minimizationPercents.put(0, 0.0);
 			int milestoneIndex = 0;
-			System.out.println(record);
+			int otherIndex = 0; //TODO: fix literally all of these variable names - make readable!
 			for (Long time : record.keySet())
 			{
 				Double timePercent = getTimePercentage((double)time, (double)startTime, (double)finalTime);
 				Integer stateCount = record.get(time);
 				Double percentMinimized = getMinimizedPercentage((double)stateCount, (double) initialStateCount, (double) finalStateCount);
-				System.out.println(timePercent);
-				System.out.println(percentMinimized);
-				Integer currentMilestone = timeMilestones[milestoneIndex];
+				Integer currentMilestone = milestones[milestoneIndex];
 				if (timePercent <= currentMilestone)
 				{
 					if (minimizationTimes.containsKey(currentMilestone))
@@ -552,14 +584,51 @@ record = recordMin.getRecord();
 					{
 						Double prevMilestonePercent = minimizationTimes.get(currentMilestone);
 						milestoneIndex++;
-						currentMilestone = timeMilestones[milestoneIndex];
+						currentMilestone = milestones[milestoneIndex];
 						minimizationTimes.put(currentMilestone, prevMilestonePercent);
 						Assert.assertTrue(prevMilestonePercent <= percentMinimized);
 					}
 					minimizationTimes.put(currentMilestone, percentMinimized);
 				}
+				Double msTime = (new Double(time))/1000000.0;
+				currentMilestone = milestones[otherIndex];
+				if (percentMinimized <= currentMilestone)
+				{
+					if (minimizationPercents.containsKey(currentMilestone))
+					{
+						Assert.assertTrue(msTime >= minimizationPercents.get(currentMilestone));
+					}
+					minimizationPercents.put(currentMilestone, msTime);
+				}
+				else
+				{	
+					Double prevMilestoneTime = minimizationPercents.get(currentMilestone);
+					Integer startIndex = new Integer(otherIndex);
+					while(percentMinimized > currentMilestone)
+					{
+						otherIndex++;
+						currentMilestone = milestones[otherIndex]; //actually not for time anymore...
+					}
+					Assert.assertTrue(startIndex < otherIndex);
+					Integer curIndex = new Integer(startIndex + 1);
+					if(curIndex == otherIndex)
+					{
+						minimizationPercents.put(currentMilestone, msTime);
+					}
+					else
+					{
+						Integer prevMilestone = milestones[startIndex];
+						while(curIndex < otherIndex)
+						{
+							Integer skippedMilestone = milestones[curIndex];
+							minimizationPercents.put(skippedMilestone,
+									linearInterpolate(skippedMilestone, prevMilestone, currentMilestone, prevMilestoneTime, msTime));
+							curIndex++;
+						}
+						minimizationPercents.put(currentMilestone, msTime);
+					}
+				}
 			}
-			System.out.println(minimizationTimes);
 			if (!fullMinimizationMap.containsKey(initialStateCount))
 			{
 				repeatCount.put(initialStateCount, 1.0);
@@ -569,7 +638,6 @@ record = recordMin.getRecord();
 			{
 				Double count = repeatCount.get(initialStateCount);
 				HashMap<Integer, Double> avgMinTimes = fullMinimizationMap.get(initialStateCount);
-				System.out.println(minimizationTimes);
 				for(Integer milestone : avgMinTimes.keySet())
 				{
 					Double curMilestonePercent = minimizationTimes.get(milestone);
@@ -579,32 +647,68 @@ record = recordMin.getRecord();
 				}
 				repeatCount.put(initialStateCount, count+1);
 			}
+			if (!oppositeMap.containsKey(initialStateCount))
+			{
+				otherRepeat.put(initialStateCount, 1.0);
+				oppositeMap.put(initialStateCount, minimizationPercents);
+			}
+			else
+			{
+				Double count = otherRepeat.get(initialStateCount);
+				HashMap<Integer, Double> avgMinPercents = oppositeMap.get(initialStateCount);
+				for (Integer milestone : avgMinPercents.keySet())
+				{
+					Double curMilestoneTime = minimizationPercents.get(milestone);
+					Double avgMilestoneTime = avgMinPercents.get(milestone);
+					Double newAvg = avgMilestoneTime + (curMilestoneTime - avgMilestoneTime)/count;
+					avgMinPercents.put(milestone, newAvg);
+				}
+				otherRepeat.put(initialStateCount, count+1);
+			}
 		}
-		FileOutputStream file = new FileOutputStream("record_test.txt");
-		Writer writer = new BufferedWriter(new OutputStreamWriter(file));
 		String titleRow = "initial states, ";
-		for (Integer milestone : timeMilestones)
+		for (Integer milestone : milestones)
 		{
 			titleRow += String.format("%d, ", milestone);
 		}
 		titleRow += "\n";
+		
+		FileOutputStream file = new FileOutputStream("record_test.txt");
+		Writer writer = new BufferedWriter(new OutputStreamWriter(file));
 		writer.write(titleRow);
-		System.out.println(fullMinimizationMap.keySet());
-		System.out.println(fullMinimizationMap.entrySet());
 		for(Integer stateCount : fullMinimizationMap.keySet())
 		{
 			HashMap<Integer, Double> minTimes = fullMinimizationMap.get(stateCount);
 			String row = String.format("%d, ", stateCount);
-			for (Integer milestone : timeMilestones)
+			for (Integer milestone : milestones)
 			{
 				Double percentMin = minTimes.get(milestone);
 				row += String.format("%f, ", percentMin);
 			}
 			row += "\n";
-			System.out.print(row);
 			writer.write(row);
 		}
 		writer.close();
+		
+		FileOutputStream newFile = new FileOutputStream("second_record_test.txt");
+		BufferedWriter newWriter = new BufferedWriter(new OutputStreamWriter(file));
+		System.out.println(oppositeMap.entrySet());
+		newWriter.write(titleRow);
+		System.out.println(titleRow);
+		for (Integer stateCount : oppositeMap.keySet())
+		{
+			HashMap<Integer, Double> minPercents = oppositeMap.get(stateCount);
+			String row = String.format("%d, ", stateCount);
+			for (Integer milestone : milestones)
+			{
+				Double timeMin = minPercents.get(milestone);
+				row += String.format("%f, ", timeMin);
+			}
+			row += "\n";
+			System.out.print(row);
+			newWriter.write(row);
+		}
+		newWriter.close();
 	}
 
 }