#####TASK#####
## name
navigation_inst_mdp__9
## horizon
40
## discount factor
1
## number of action fluents
4
## number of det state fluents
40
## number of prob state fluents
40
## number of preconds
0
## number of actions
5
## number of hashing functions
81
## initial state
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
## 1 if task is deterministic
0
## 1 if state hashing possible
0
## 1 if kleene state hashing possible
0
## method to calculate the final reward
NOOP
## 1 if reward formula allows reward lock detection and a reward lock was found during task analysis
1
## 1 if an unreasonable action was detected
1
## 1 if an unreasonable action was detected in the determinization
1
## number of states that were encountered during task analysis
2815
## number of unique states that were encountered during task analysis
7
## number of states with only one applicable reasonable action that were encountered during task analysis
2597
## number of unique states with only one applicable reasonable action that were encountered during task analysis
1


#####ACTION FLUENTS#####
## index
0
## name
move-east
## number of values
2
## values
0 false
1 true

## index
1
## name
move-north
## number of values
2
## values
0 false
1 true

## index
2
## name
move-south
## number of values
2
## values
0 false
1 true

## index
3
## name
move-west
## number of values
2
## values
0 false
1 true



#####DET STATE FLUENTS AND CPFS#####
## index
0
## name
robot-at(x105, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(0)) and($a(0) $s(0)) and($a(3) $s(0))) : $c(0)) (or(and($a(2) $s(40)) and($a(0) $s(36)) and($a(3) $s(2))) : $c(1)) ($c(1) : $s(0)) )
## hash index
0
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 1
6 0
7 1
8 0
9 0
10 0
11 1
12 0
13 0
14 0
15 1
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17 1
18 0
19 0
20 0
21 0
22 0
23 0
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25 0
26 0
27 0
28 0
29 0
30 0
31 0
32 0
33 0
34 0
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37 0
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44 1
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51 1
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54 1
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56 0
57 1
58 0
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60 0
61 0
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70 0
71 0
72 0
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76 0
77 0
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82 1
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85 1
86 0
87 1
88 0
89 0
90 0
91 1
92 1
93 0
94 0
95 1
96 0
97 1
98 0
99 0
100 0
101 0
102 0
103 0
104 0
105 0
106 0
107 0
108 0
109 0
110 0
111 0
112 0
113 0
114 0
115 0
116 0
117 0
118 0
119 0
120 0
121 0
122 1
123 0
124 1
125 1
126 0
127 1
128 0
129 0
130 0
131 1
132 1
133 0
134 1
135 1
136 0
137 1
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
1
## name
robot-at(x105, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(1)) and($a(0) $s(1)) and($a(3) $s(1))) : $c(0)) (or(and($a(1) $s(41)) and($a(0) $s(37)) and($a(3) $s(3))) : $c(1)) ($c(1) : $s(1)) )
## hash index
1
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 1
6 0
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8 1
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11 1
12 0
13 0
14 0
15 1
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18 1
19 0
20 0
21 0
22 0
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25 0
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27 0
28 0
29 0
30 0
31 0
32 0
33 0
34 0
35 0
36 0
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40 0
41 0
42 0
43 0
44 1
45 1
46 0
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48 1
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51 1
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55 1
56 0
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58 1
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61 0
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70 0
71 0
72 0
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74 0
75 0
76 0
77 0
78 0
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80 0
81 0
82 0
83 1
84 0
85 1
86 0
87 0
88 1
89 0
90 0
91 1
92 0
93 1
94 0
95 1
96 0
97 0
98 1
99 0
100 0
101 0
102 0
103 0
104 0
105 0
106 0
107 0
108 0
109 0
110 0
111 0
112 0
113 0
114 0
115 0
116 0
117 0
118 0
119 0
120 0
121 0
122 0
123 1
124 1
125 1
126 0
127 0
128 1
129 0
130 0
131 1
132 0
133 1
134 1
135 1
136 0
137 0
138 1
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
2
## name
robot-at(x126, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(2)) and($a(0) $s(2)) and($a(3) $s(2))) : $c(0)) (or(and($a(2) $s(42)) and($a(0) $s(0)) and($a(3) $s(6))) : $c(1)) ($c(1) : $s(2)) )
## hash index
2
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 1
13 0
14 0
15 1
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18 0
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 1
33 0
34 0
35 1
36 0
37 1
38 0
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
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55 0
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58 0
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61 0
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69 0
70 0
71 0
72 0
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74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 1
83 0
84 0
85 0
86 0
87 1
88 0
89 1
90 1
91 0
92 1
93 0
94 0
95 1
96 0
97 1
98 0
99 0
100 0
101 1
102 1
103 0
104 0
105 0
106 1
107 1
108 0
109 1
110 1
111 0
112 1
113 0
114 0
115 1
116 0
117 1
118 0
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
3
## name
robot-at(x126, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(3)) and($a(0) $s(3)) and($a(3) $s(3))) : $c(0)) (or(and($a(1) $s(43)) and($a(0) $s(1)) and($a(3) $s(7))) : $c(1)) ($c(1) : $s(3)) )
## hash index
3
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 0
13 1
14 0
15 1
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17 0
18 1
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 0
33 1
34 0
35 1
36 0
37 0
38 1
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 0
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69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 0
83 1
84 0
85 0
86 0
87 0
88 1
89 1
90 1
91 0
92 0
93 1
94 0
95 1
96 0
97 0
98 1
99 0
100 0
101 1
102 0
103 1
104 0
105 0
106 1
107 0
108 1
109 1
110 1
111 0
112 0
113 1
114 0
115 1
116 0
117 0
118 1
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
4
## name
robot-at(x14, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(4)) and($a(0) $s(4)) and($a(3) $s(4))) : $c(0)) (or(and($a(2) $s(44)) and($a(0) $s(38)) and($a(3) $s(12))) : $c(1)) ($c(1) : $s(4)) )
## hash index
4
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 1
6 0
7 1
8 0
9 0
10 0
11 1
12 0
13 0
14 0
15 1
16 0
17 1
18 0
19 0
20 0
21 0
22 0
23 0
24 0
25 0
26 0
27 0
28 0
29 0
30 0
31 0
32 0
33 0
34 0
35 0
36 0
37 0
38 0
39 0
40 0
41 0
42 0
43 0
44 1
45 1
46 0
47 1
48 0
49 0
50 0
51 1
52 0
53 0
54 1
55 1
56 0
57 1
58 0
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60 0
61 0
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72 0
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75 0
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80 0
81 0
82 1
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85 1
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87 1
88 0
89 0
90 0
91 1
92 1
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94 0
95 1
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100 0
101 0
102 0
103 0
104 0
105 0
106 0
107 0
108 0
109 0
110 0
111 0
112 0
113 0
114 0
115 0
116 0
117 0
118 0
119 0
120 0
121 0
122 1
123 0
124 1
125 1
126 0
127 1
128 0
129 0
130 0
131 1
132 1
133 0
134 1
135 1
136 0
137 1
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
5
## name
robot-at(x14, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(5)) and($a(0) $s(5)) and($a(3) $s(5))) : $c(0)) (or(and($a(1) $s(45)) and($a(0) $s(39)) and($a(3) $s(13))) : $c(1)) ($c(1) : $s(5)) )
## hash index
5
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 1
6 0
7 0
8 1
9 0
10 0
11 1
12 0
13 0
14 0
15 1
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17 0
18 1
19 0
20 0
21 0
22 0
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25 0
26 0
27 0
28 0
29 0
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31 0
32 0
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34 0
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38 0
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41 0
42 0
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44 1
45 1
46 0
47 0
48 1
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50 0
51 1
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58 1
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88 1
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91 1
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93 1
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100 0
101 0
102 0
103 0
104 0
105 0
106 0
107 0
108 0
109 0
110 0
111 0
112 0
113 0
114 0
115 0
116 0
117 0
118 0
119 0
120 0
121 0
122 0
123 1
124 1
125 1
126 0
127 0
128 1
129 0
130 0
131 1
132 0
133 1
134 1
135 1
136 0
137 0
138 1
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
6
## name
robot-at(x149, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(6)) and($a(0) $s(6)) and($a(3) $s(6))) : $c(0)) (or(and($a(2) $s(46)) and($a(0) $s(2)) and($a(3) $s(8))) : $c(1)) ($c(1) : $s(6)) )
## hash index
6
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 1
13 0
14 0
15 1
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17 1
18 0
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 1
33 0
34 0
35 1
36 0
37 1
38 0
39 0
40 0
41 0
42 0
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44 0
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46 0
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48 0
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50 0
51 0
52 0
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55 0
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57 0
58 0
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60 0
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69 0
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71 0
72 0
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75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 1
83 0
84 0
85 0
86 0
87 1
88 0
89 1
90 1
91 0
92 1
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94 0
95 1
96 0
97 1
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99 0
100 0
101 1
102 1
103 0
104 0
105 0
106 1
107 1
108 0
109 1
110 1
111 0
112 1
113 0
114 0
115 1
116 0
117 1
118 0
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
7
## name
robot-at(x149, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(7)) and($a(0) $s(7)) and($a(3) $s(7))) : $c(0)) (or(and($a(1) $s(47)) and($a(0) $s(3)) and($a(3) $s(9))) : $c(1)) ($c(1) : $s(7)) )
## hash index
7
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
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8 0
9 1
10 1
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13 1
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18 1
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21 1
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25 0
26 1
27 0
28 0
29 1
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31 0
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145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
8
## name
robot-at(x174, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(8)) and($a(0) $s(8)) and($a(3) $s(8))) : $c(0)) (or(and($a(2) $s(48)) and($a(0) $s(6)) and($a(3) $s(10))) : $c(1)) ($c(1) : $s(8)) )
## hash index
8
## caching type 
VECTOR
## precomputed results
160
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1 0
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91 0
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102 1
103 0
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105 0
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108 0
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120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
9
## name
robot-at(x174, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(9)) and($a(0) $s(9)) and($a(3) $s(9))) : $c(0)) (or(and($a(1) $s(49)) and($a(0) $s(7)) and($a(3) $s(11))) : $c(1)) ($c(1) : $s(9)) )
## hash index
9
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 0
13 1
14 0
15 1
16 0
17 0
18 1
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 0
33 1
34 0
35 1
36 0
37 0
38 1
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 0
83 1
84 0
85 0
86 0
87 0
88 1
89 1
90 1
91 0
92 0
93 1
94 0
95 1
96 0
97 0
98 1
99 0
100 0
101 1
102 0
103 1
104 0
105 0
106 1
107 0
108 1
109 1
110 1
111 0
112 0
113 1
114 0
115 1
116 0
117 0
118 1
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
10
## name
robot-at(x201, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(10)) and($a(0) $s(10)) and($a(3) $s(10))) : $c(0)) (or(and($a(2) $s(50)) and($a(0) $s(8)) and($a(3) $s(14))) : $c(1)) ($c(1) : $s(10)) )
## hash index
10
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 1
13 0
14 0
15 1
16 0
17 1
18 0
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 1
33 0
34 0
35 1
36 0
37 1
38 0
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 1
83 0
84 0
85 0
86 0
87 1
88 0
89 1
90 1
91 0
92 1
93 0
94 0
95 1
96 0
97 1
98 0
99 0
100 0
101 1
102 1
103 0
104 0
105 0
106 1
107 1
108 0
109 1
110 1
111 0
112 1
113 0
114 0
115 1
116 0
117 1
118 0
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
11
## name
robot-at(x201, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(11)) and($a(0) $s(11)) and($a(3) $s(11))) : $c(0)) (or(and($a(1) $s(51)) and($a(0) $s(9)) and($a(3) $s(15))) : $c(1)) ($c(1) : $s(11)) )
## hash index
11
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 0
13 1
14 0
15 1
16 0
17 0
18 1
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 0
33 1
34 0
35 1
36 0
37 0
38 1
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 0
83 1
84 0
85 0
86 0
87 0
88 1
89 1
90 1
91 0
92 0
93 1
94 0
95 1
96 0
97 0
98 1
99 0
100 0
101 1
102 0
103 1
104 0
105 0
106 1
107 0
108 1
109 1
110 1
111 0
112 0
113 1
114 0
115 1
116 0
117 0
118 1
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
12
## name
robot-at(x21, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(12)) and($a(0) $s(12)) and($a(3) $s(12))) : $c(0)) (or(and($a(2) $s(52)) and($a(0) $s(4)) and($a(3) $s(20))) : $c(1)) ($c(1) : $s(12)) )
## hash index
12
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 1
13 0
14 0
15 1
16 0
17 1
18 0
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 1
33 0
34 0
35 1
36 0
37 1
38 0
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 1
83 0
84 0
85 0
86 0
87 1
88 0
89 1
90 1
91 0
92 1
93 0
94 0
95 1
96 0
97 1
98 0
99 0
100 0
101 1
102 1
103 0
104 0
105 0
106 1
107 1
108 0
109 1
110 1
111 0
112 1
113 0
114 0
115 1
116 0
117 1
118 0
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
13
## name
robot-at(x21, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(13)) and($a(0) $s(13)) and($a(3) $s(13))) : $c(0)) (or(and($a(1) $s(53)) and($a(0) $s(5)) and($a(3) $s(21))) : $c(1)) ($c(1) : $s(13)) )
## hash index
13
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 0
13 1
14 0
15 1
16 0
17 0
18 1
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 0
33 1
34 0
35 1
36 0
37 0
38 1
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 0
83 1
84 0
85 0
86 0
87 0
88 1
89 1
90 1
91 0
92 0
93 1
94 0
95 1
96 0
97 0
98 1
99 0
100 0
101 1
102 0
103 1
104 0
105 0
106 1
107 0
108 1
109 1
110 1
111 0
112 0
113 1
114 0
115 1
116 0
117 0
118 1
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
14
## name
robot-at(x230, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(14)) and($a(0) $s(14)) and($a(3) $s(14))) : $c(0)) (or(and($a(2) $s(54)) and($a(0) $s(10)) and($a(3) $s(16))) : $c(1)) ($c(1) : $s(14)) )
## hash index
14
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 1
13 0
14 0
15 1
16 0
17 1
18 0
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 1
33 0
34 0
35 1
36 0
37 1
38 0
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 1
83 0
84 0
85 0
86 0
87 1
88 0
89 1
90 1
91 0
92 1
93 0
94 0
95 1
96 0
97 1
98 0
99 0
100 0
101 1
102 1
103 0
104 0
105 0
106 1
107 1
108 0
109 1
110 1
111 0
112 1
113 0
114 0
115 1
116 0
117 1
118 0
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
15
## name
robot-at(x230, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(15)) and($a(0) $s(15)) and($a(3) $s(15))) : $c(0)) (or(and($a(1) $s(55)) and($a(0) $s(11)) and($a(3) $s(17))) : $c(1)) ($c(1) : $s(15)) )
## hash index
15
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 0
13 1
14 0
15 1
16 0
17 0
18 1
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 0
33 1
34 0
35 1
36 0
37 0
38 1
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 0
83 1
84 0
85 0
86 0
87 0
88 1
89 1
90 1
91 0
92 0
93 1
94 0
95 1
96 0
97 0
98 1
99 0
100 0
101 1
102 0
103 1
104 0
105 0
106 1
107 0
108 1
109 1
110 1
111 0
112 0
113 1
114 0
115 1
116 0
117 0
118 1
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
16
## name
robot-at(x261, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(16)) and($a(0) $s(16)) and($a(3) $s(16))) : $c(0)) (or(and($a(2) $s(56)) and($a(0) $s(14)) and($a(3) $s(18))) : $c(1)) ($c(1) : $s(16)) )
## hash index
16
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 1
13 0
14 0
15 1
16 0
17 1
18 0
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 1
33 0
34 0
35 1
36 0
37 1
38 0
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 1
83 0
84 0
85 0
86 0
87 1
88 0
89 1
90 1
91 0
92 1
93 0
94 0
95 1
96 0
97 1
98 0
99 0
100 0
101 1
102 1
103 0
104 0
105 0
106 1
107 1
108 0
109 1
110 1
111 0
112 1
113 0
114 0
115 1
116 0
117 1
118 0
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
17
## name
robot-at(x261, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(17)) and($a(0) $s(17)) and($a(3) $s(17))) : $c(0)) (or(and($a(1) $s(57)) and($a(0) $s(15)) and($a(3) $s(19))) : $c(1)) ($c(1) : $s(17)) )
## hash index
17
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 0
13 1
14 0
15 1
16 0
17 0
18 1
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 0
33 1
34 0
35 1
36 0
37 0
38 1
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 0
83 1
84 0
85 0
86 0
87 0
88 1
89 1
90 1
91 0
92 0
93 1
94 0
95 1
96 0
97 0
98 1
99 0
100 0
101 1
102 0
103 1
104 0
105 0
106 1
107 0
108 1
109 1
110 1
111 0
112 0
113 1
114 0
115 1
116 0
117 0
118 1
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
18
## name
robot-at(x294, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(18)) and($a(0) $s(18)) and($a(3) $s(18))) : $c(0)) (or(and($a(2) $s(58)) and($a(0) $s(16)) and($a(3) $s(22))) : $c(1)) ($c(1) : $s(18)) )
## hash index
18
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 1
13 0
14 0
15 1
16 0
17 1
18 0
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 1
33 0
34 0
35 1
36 0
37 1
38 0
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 1
83 0
84 0
85 0
86 0
87 1
88 0
89 1
90 1
91 0
92 1
93 0
94 0
95 1
96 0
97 1
98 0
99 0
100 0
101 1
102 1
103 0
104 0
105 0
106 1
107 1
108 0
109 1
110 1
111 0
112 1
113 0
114 0
115 1
116 0
117 1
118 0
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
19
## name
robot-at(x294, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(19)) and($a(0) $s(19)) and($a(3) $s(19))) : $c(0)) (or(and($a(1) $s(59)) and($a(0) $s(17)) and($a(3) $s(23))) : $c(1)) ($c(1) : $s(19)) )
## hash index
19
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 0
13 1
14 0
15 1
16 0
17 0
18 1
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 0
33 1
34 0
35 1
36 0
37 0
38 1
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 0
83 1
84 0
85 0
86 0
87 0
88 1
89 1
90 1
91 0
92 0
93 1
94 0
95 1
96 0
97 0
98 1
99 0
100 0
101 1
102 0
103 1
104 0
105 0
106 1
107 0
108 1
109 1
110 1
111 0
112 0
113 1
114 0
115 1
116 0
117 0
118 1
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
20
## name
robot-at(x30, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(20)) and($a(0) $s(20)) and($a(3) $s(20))) : $c(0)) (or(and($a(2) $s(60)) and($a(0) $s(12)) and($a(3) $s(28))) : $c(1)) ($c(1) : $s(20)) )
## hash index
20
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 1
13 0
14 0
15 1
16 0
17 1
18 0
19 0
20 0
21 0
22 0
23 0
24 0
25 0
26 0
27 0
28 0
29 0
30 0
31 0
32 0
33 0
34 0
35 0
36 0
37 0
38 0
39 0
40 0
41 1
42 0
43 0
44 0
45 0
46 1
47 0
48 0
49 1
50 1
51 0
52 1
53 0
54 0
55 1
56 0
57 1
58 0
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 1
83 0
84 0
85 0
86 0
87 1
88 0
89 1
90 1
91 0
92 1
93 0
94 0
95 1
96 0
97 1
98 0
99 0
100 0
101 0
102 0
103 0
104 0
105 0
106 0
107 0
108 0
109 0
110 0
111 0
112 0
113 0
114 0
115 0
116 0
117 0
118 0
119 0
120 0
121 1
122 1
123 0
124 0
125 0
126 1
127 1
128 0
129 1
130 1
131 0
132 1
133 0
134 0
135 1
136 0
137 1
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
21
## name
robot-at(x30, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(21)) and($a(0) $s(21)) and($a(3) $s(21))) : $c(0)) (or(and($a(1) $s(61)) and($a(0) $s(13)) and($a(3) $s(29))) : $c(1)) ($c(1) : $s(21)) )
## hash index
21
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 0
13 1
14 0
15 1
16 0
17 0
18 1
19 0
20 0
21 0
22 0
23 0
24 0
25 0
26 0
27 0
28 0
29 0
30 0
31 0
32 0
33 0
34 0
35 0
36 0
37 0
38 0
39 0
40 0
41 1
42 0
43 0
44 0
45 0
46 1
47 0
48 0
49 1
50 1
51 0
52 0
53 1
54 0
55 1
56 0
57 0
58 1
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 0
83 1
84 0
85 0
86 0
87 0
88 1
89 1
90 1
91 0
92 0
93 1
94 0
95 1
96 0
97 0
98 1
99 0
100 0
101 0
102 0
103 0
104 0
105 0
106 0
107 0
108 0
109 0
110 0
111 0
112 0
113 0
114 0
115 0
116 0
117 0
118 0
119 0
120 0
121 1
122 0
123 1
124 0
125 0
126 1
127 0
128 1
129 1
130 1
131 0
132 0
133 1
134 0
135 1
136 0
137 0
138 1
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
22
## name
robot-at(x329, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(22)) and($a(0) $s(22)) and($a(3) $s(22))) : $c(0)) (or(and($a(2) $s(62)) and($a(0) $s(18)) and($a(3) $s(24))) : $c(1)) ($c(1) : $s(22)) )
## hash index
22
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 1
13 0
14 0
15 1
16 0
17 1
18 0
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 1
33 0
34 0
35 1
36 0
37 1
38 0
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 1
83 0
84 0
85 0
86 0
87 1
88 0
89 1
90 1
91 0
92 1
93 0
94 0
95 1
96 0
97 1
98 0
99 0
100 0
101 1
102 1
103 0
104 0
105 0
106 1
107 1
108 0
109 1
110 1
111 0
112 1
113 0
114 0
115 1
116 0
117 1
118 0
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
23
## name
robot-at(x329, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(23)) and($a(0) $s(23)) and($a(3) $s(23))) : $c(0)) (or(and($a(1) $s(63)) and($a(0) $s(19)) and($a(3) $s(25))) : $c(1)) ($c(1) : $s(23)) )
## hash index
23
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 0
13 1
14 0
15 1
16 0
17 0
18 1
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 0
33 1
34 0
35 1
36 0
37 0
38 1
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 0
83 1
84 0
85 0
86 0
87 0
88 1
89 1
90 1
91 0
92 0
93 1
94 0
95 1
96 0
97 0
98 1
99 0
100 0
101 1
102 0
103 1
104 0
105 0
106 1
107 0
108 1
109 1
110 1
111 0
112 0
113 1
114 0
115 1
116 0
117 0
118 1
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
24
## name
robot-at(x366, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(24)) and($a(0) $s(24)) and($a(3) $s(24))) : $c(0)) (or(and($a(2) $s(64)) and($a(0) $s(22)) and($a(3) $s(26))) : $c(1)) ($c(1) : $s(24)) )
## hash index
24
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 1
13 0
14 0
15 1
16 0
17 1
18 0
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 1
27 0
28 0
29 1
30 1
31 0
32 1
33 0
34 0
35 1
36 0
37 1
38 0
39 0
40 0
41 0
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 1
83 0
84 0
85 0
86 0
87 1
88 0
89 1
90 1
91 0
92 1
93 0
94 0
95 1
96 0
97 1
98 0
99 0
100 0
101 1
102 1
103 0
104 0
105 0
106 1
107 1
108 0
109 1
110 1
111 0
112 1
113 0
114 0
115 1
116 0
117 1
118 0
119 0
120 0
121 0
122 0
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 0
141 0
142 0
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
25
## name
robot-at(x366, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(25)) and($a(0) $s(25)) and($a(3) $s(25))) : $c(0)) (or(and($a(1) $s(65)) and($a(0) $s(23)) and($a(3) $s(27))) : $c(1)) ($c(1) : $s(25)) )
## hash index
25
## caching type 
VECTOR
## precomputed results
80
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 0
13 1
14 0
15 1
16 0
17 0
18 1
19 0
20 0
21 0
22 0
23 0
24 0
25 0
26 0
27 0
28 0
29 0
30 0
31 0
32 0
33 0
34 0
35 0
36 0
37 0
38 0
39 0
40 0
41 0
42 0
43 1
44 0
45 0
46 0
47 0
48 1
49 1
50 1
51 0
52 0
53 1
54 0
55 1
56 0
57 0
58 1
59 0
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
## kleene caching type
VECTOR
## kleene caching vec size
405
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
26
## name
robot-at(x405, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(26)) and($a(3) $s(26))) : $c(0)) (or(and($a(2) $s(66)) and($a(0) $s(24))) : $c(1)) ($c(1) : $s(26)) )
## hash index
26
## caching type 
VECTOR
## precomputed results
80
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 0
12 1
13 0
14 1
15 1
16 0
17 1
18 0
19 1
20 0
21 0
22 0
23 0
24 0
25 0
26 0
27 0
28 0
29 0
30 0
31 0
32 0
33 0
34 0
35 0
36 0
37 0
38 0
39 0
40 0
41 0
42 1
43 0
44 0
45 0
46 0
47 1
48 0
49 1
50 1
51 0
52 1
53 0
54 1
55 1
56 0
57 1
58 0
59 1
60 0
61 0
62 0
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
## kleene caching type
VECTOR
## kleene caching vec size
405
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
27
## name
robot-at(x405, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( ($s(27) : $c(1)) (or($s(27) and($a(2) $s(27)) and($a(3) $s(27))) : $c(0)) (or(and($a(1) $s(67)) and($a(0) $s(25))) : $c(1)) ($c(1) : $s(27)) )
## hash index
27
## caching type 
VECTOR
## precomputed results
40
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 1
11 1
12 1
13 1
14 1
15 1
16 1
17 1
18 1
19 1
20 0
21 0
22 0
23 1
24 0
25 0
26 0
27 0
28 1
29 1
30 1
31 1
32 1
33 1
34 1
35 1
36 1
37 1
38 1
39 1
## kleene caching type
VECTOR
## kleene caching vec size
135
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
28
## name
robot-at(x41, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(28)) and($a(0) $s(28)) and($a(3) $s(28))) : $c(0)) (or(and($a(2) $s(68)) and($a(0) $s(20)) and($a(3) $s(30))) : $c(1)) ($c(1) : $s(28)) )
## hash index
28
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 0
11 0
12 0
13 0
14 0
15 0
16 0
17 0
18 0
19 0
20 1
21 0
22 1
23 0
24 0
25 1
26 0
27 1
28 0
29 0
30 0
31 0
32 0
33 0
34 0
35 0
36 0
37 0
38 0
39 0
40 0
41 1
42 0
43 0
44 0
45 0
46 1
47 0
48 0
49 1
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 1
61 0
62 1
63 0
64 0
65 1
66 0
67 1
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 1
83 0
84 0
85 0
86 0
87 1
88 0
89 1
90 0
91 0
92 0
93 0
94 0
95 0
96 0
97 0
98 0
99 0
100 1
101 0
102 1
103 0
104 0
105 1
106 0
107 1
108 0
109 0
110 0
111 0
112 0
113 0
114 0
115 0
116 0
117 0
118 0
119 0
120 0
121 1
122 1
123 0
124 0
125 0
126 1
127 1
128 0
129 1
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 1
141 0
142 1
143 0
144 0
145 1
146 0
147 1
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
29
## name
robot-at(x41, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(29)) and($a(0) $s(29)) and($a(3) $s(29))) : $c(0)) (or(and($a(1) $s(69)) and($a(0) $s(21)) and($a(3) $s(31))) : $c(1)) ($c(1) : $s(29)) )
## hash index
29
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 1
10 0
11 0
12 0
13 0
14 0
15 0
16 0
17 0
18 0
19 0
20 1
21 0
22 0
23 1
24 0
25 1
26 0
27 0
28 1
29 0
30 0
31 0
32 0
33 0
34 0
35 0
36 0
37 0
38 0
39 0
40 0
41 1
42 0
43 0
44 0
45 0
46 1
47 0
48 0
49 1
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 1
61 0
62 0
63 1
64 0
65 1
66 0
67 0
68 1
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 0
83 1
84 0
85 0
86 0
87 0
88 1
89 1
90 0
91 0
92 0
93 0
94 0
95 0
96 0
97 0
98 0
99 0
100 1
101 0
102 0
103 1
104 0
105 1
106 0
107 0
108 1
109 0
110 0
111 0
112 0
113 0
114 0
115 0
116 0
117 0
118 0
119 0
120 0
121 1
122 0
123 1
124 0
125 0
126 1
127 0
128 1
129 1
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 1
141 0
142 0
143 1
144 0
145 1
146 0
147 0
148 1
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
30
## name
robot-at(x54, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(30)) and($a(0) $s(30)) and($a(3) $s(30))) : $c(0)) (or(and($a(2) $s(70)) and($a(0) $s(28)) and($a(3) $s(34))) : $c(1)) ($c(1) : $s(30)) )
## hash index
30
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 0
10 0
11 0
12 0
13 0
14 1
15 0
16 0
17 0
18 0
19 0
20 1
21 0
22 1
23 0
24 0
25 0
26 0
27 0
28 0
29 0
30 1
31 0
32 1
33 0
34 0
35 0
36 0
37 0
38 0
39 0
40 0
41 1
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 1
52 0
53 0
54 1
55 0
56 0
57 0
58 0
59 0
60 1
61 0
62 1
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 1
71 0
72 1
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 1
83 0
84 0
85 0
86 0
87 0
88 0
89 0
90 0
91 0
92 1
93 0
94 1
95 0
96 0
97 0
98 0
99 0
100 1
101 0
102 1
103 0
104 0
105 0
106 0
107 0
108 0
109 0
110 1
111 0
112 1
113 0
114 0
115 0
116 0
117 0
118 0
119 0
120 0
121 1
122 1
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 1
132 1
133 0
134 1
135 0
136 0
137 0
138 0
139 0
140 1
141 0
142 1
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 1
151 0
152 1
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
31
## name
robot-at(x54, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(31)) and($a(0) $s(31)) and($a(3) $s(31))) : $c(0)) (or(and($a(1) $s(71)) and($a(0) $s(29)) and($a(3) $s(35))) : $c(1)) ($c(1) : $s(31)) )
## hash index
31
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 0
10 0
11 0
12 0
13 0
14 1
15 0
16 0
17 0
18 0
19 0
20 1
21 0
22 0
23 1
24 0
25 0
26 0
27 0
28 0
29 0
30 1
31 0
32 0
33 1
34 0
35 0
36 0
37 0
38 0
39 0
40 0
41 1
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 1
52 0
53 0
54 1
55 0
56 0
57 0
58 0
59 0
60 1
61 0
62 0
63 1
64 0
65 0
66 0
67 0
68 0
69 0
70 1
71 0
72 0
73 1
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 0
83 1
84 0
85 0
86 0
87 0
88 0
89 0
90 0
91 0
92 0
93 1
94 1
95 0
96 0
97 0
98 0
99 0
100 1
101 0
102 0
103 1
104 0
105 0
106 0
107 0
108 0
109 0
110 1
111 0
112 0
113 1
114 0
115 0
116 0
117 0
118 0
119 0
120 0
121 1
122 0
123 1
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 1
132 0
133 1
134 1
135 0
136 0
137 0
138 0
139 0
140 1
141 0
142 0
143 1
144 0
145 0
146 0
147 0
148 0
149 0
150 1
151 0
152 0
153 1
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
32
## name
robot-at(x6, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(32)) and($a(0) $s(32))) : $c(0)) (or(and($a(2) $s(72)) and($a(3) $s(38))) : $c(1)) ($c(1) : $s(32)) )
## hash index
32
## caching type 
VECTOR
## precomputed results
80
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 0
10 1
11 1
12 1
13 0
14 0
15 0
16 0
17 0
18 0
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 0
27 0
28 0
29 0
30 1
31 1
32 1
33 0
34 0
35 0
36 0
37 0
38 0
39 0
40 0
41 0
42 1
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 1
51 1
52 1
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 1
62 1
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 1
71 1
72 1
73 0
74 0
75 0
76 0
77 0
78 0
79 0
## kleene caching type
VECTOR
## kleene caching vec size
405
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
33
## name
robot-at(x6, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(33)) and($a(0) $s(33))) : $c(0)) (or(and($a(1) $s(73)) and($a(3) $s(39))) : $c(1)) ($c(1) : $s(33)) )
## hash index
33
## caching type 
VECTOR
## precomputed results
80
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 0
10 1
11 1
12 0
13 1
14 0
15 0
16 0
17 0
18 0
19 0
20 0
21 1
22 0
23 0
24 0
25 0
26 0
27 0
28 0
29 0
30 1
31 1
32 0
33 1
34 0
35 0
36 0
37 0
38 0
39 0
40 0
41 0
42 0
43 1
44 0
45 0
46 0
47 0
48 0
49 0
50 1
51 1
52 0
53 1
54 0
55 0
56 0
57 0
58 0
59 0
60 0
61 1
62 0
63 1
64 0
65 0
66 0
67 0
68 0
69 0
70 1
71 1
72 0
73 1
74 0
75 0
76 0
77 0
78 0
79 0
## kleene caching type
VECTOR
## kleene caching vec size
405
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
34
## name
robot-at(x69, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(34)) and($a(0) $s(34)) and($a(3) $s(34))) : $c(0)) (or(and($a(2) $s(74)) and($a(0) $s(30)) and($a(3) $s(36))) : $c(1)) ($c(1) : $s(34)) )
## hash index
34
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 0
10 0
11 0
12 0
13 0
14 1
15 0
16 0
17 0
18 0
19 0
20 1
21 0
22 1
23 0
24 0
25 0
26 0
27 0
28 0
29 0
30 1
31 0
32 1
33 0
34 0
35 0
36 0
37 0
38 0
39 0
40 0
41 1
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 1
52 0
53 0
54 1
55 0
56 0
57 0
58 0
59 0
60 1
61 0
62 1
63 0
64 0
65 0
66 0
67 0
68 0
69 0
70 1
71 0
72 1
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 1
83 0
84 0
85 0
86 0
87 0
88 0
89 0
90 0
91 0
92 1
93 0
94 1
95 0
96 0
97 0
98 0
99 0
100 1
101 0
102 1
103 0
104 0
105 0
106 0
107 0
108 0
109 0
110 1
111 0
112 1
113 0
114 0
115 0
116 0
117 0
118 0
119 0
120 0
121 1
122 1
123 0
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 1
132 1
133 0
134 1
135 0
136 0
137 0
138 0
139 0
140 1
141 0
142 1
143 0
144 0
145 0
146 0
147 0
148 0
149 0
150 1
151 0
152 1
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
35
## name
robot-at(x69, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(35)) and($a(0) $s(35)) and($a(3) $s(35))) : $c(0)) (or(and($a(1) $s(75)) and($a(0) $s(31)) and($a(3) $s(37))) : $c(1)) ($c(1) : $s(35)) )
## hash index
35
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 0
7 0
8 0
9 0
10 0
11 0
12 0
13 0
14 1
15 0
16 0
17 0
18 0
19 0
20 1
21 0
22 0
23 1
24 0
25 0
26 0
27 0
28 0
29 0
30 1
31 0
32 0
33 1
34 0
35 0
36 0
37 0
38 0
39 0
40 0
41 1
42 0
43 0
44 0
45 0
46 0
47 0
48 0
49 0
50 0
51 1
52 0
53 0
54 1
55 0
56 0
57 0
58 0
59 0
60 1
61 0
62 0
63 1
64 0
65 0
66 0
67 0
68 0
69 0
70 1
71 0
72 0
73 1
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 0
83 1
84 0
85 0
86 0
87 0
88 0
89 0
90 0
91 0
92 0
93 1
94 1
95 0
96 0
97 0
98 0
99 0
100 1
101 0
102 0
103 1
104 0
105 0
106 0
107 0
108 0
109 0
110 1
111 0
112 0
113 1
114 0
115 0
116 0
117 0
118 0
119 0
120 0
121 1
122 0
123 1
124 0
125 0
126 0
127 0
128 0
129 0
130 0
131 1
132 0
133 1
134 1
135 0
136 0
137 0
138 0
139 0
140 1
141 0
142 0
143 1
144 0
145 0
146 0
147 0
148 0
149 0
150 1
151 0
152 0
153 1
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
36
## name
robot-at(x86, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(36)) and($a(0) $s(36)) and($a(3) $s(36))) : $c(0)) (or(and($a(2) $s(76)) and($a(0) $s(34)) and($a(3) $s(0))) : $c(1)) ($c(1) : $s(36)) )
## hash index
36
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 1
7 0
8 0
9 0
10 0
11 0
12 0
13 0
14 0
15 0
16 0
17 0
18 0
19 0
20 0
21 0
22 0
23 0
24 1
25 0
26 1
27 0
28 0
29 1
30 0
31 0
32 0
33 0
34 0
35 0
36 0
37 0
38 0
39 0
40 1
41 0
42 1
43 0
44 0
45 1
46 0
47 1
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 1
61 0
62 1
63 0
64 0
65 1
66 0
67 1
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 1
83 0
84 0
85 0
86 1
87 1
88 0
89 0
90 0
91 0
92 0
93 0
94 0
95 0
96 0
97 0
98 0
99 0
100 0
101 0
102 1
103 0
104 1
105 0
106 1
107 1
108 0
109 1
110 0
111 0
112 0
113 0
114 0
115 0
116 0
117 0
118 0
119 0
120 1
121 0
122 1
123 0
124 0
125 1
126 0
127 1
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 1
141 0
142 1
143 0
144 0
145 1
146 0
147 1
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
37
## name
robot-at(x86, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(37)) and($a(0) $s(37)) and($a(3) $s(37))) : $c(0)) (or(and($a(1) $s(77)) and($a(0) $s(35)) and($a(3) $s(1))) : $c(1)) ($c(1) : $s(37)) )
## hash index
37
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 1
7 0
8 0
9 0
10 0
11 0
12 0
13 0
14 0
15 0
16 0
17 0
18 0
19 0
20 0
21 0
22 0
23 0
24 1
25 0
26 1
27 0
28 0
29 1
30 0
31 0
32 0
33 0
34 0
35 0
36 0
37 0
38 0
39 0
40 1
41 0
42 0
43 1
44 0
45 1
46 0
47 0
48 1
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 1
61 0
62 0
63 1
64 0
65 1
66 0
67 0
68 1
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 0
83 1
84 0
85 0
86 1
87 0
88 1
89 0
90 0
91 0
92 0
93 0
94 0
95 0
96 0
97 0
98 0
99 0
100 0
101 0
102 0
103 1
104 1
105 0
106 1
107 0
108 1
109 1
110 0
111 0
112 0
113 0
114 0
115 0
116 0
117 0
118 0
119 0
120 1
121 0
122 0
123 1
124 0
125 1
126 0
127 0
128 1
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 1
141 0
142 0
143 1
144 0
145 1
146 0
147 0
148 1
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
38
## name
robot-at(x9, y12)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(38)) and($a(0) $s(38)) and($a(3) $s(38))) : $c(0)) (or(and($a(2) $s(78)) and($a(0) $s(32)) and($a(3) $s(4))) : $c(1)) ($c(1) : $s(38)) )
## hash index
38
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 1
7 0
8 0
9 0
10 0
11 0
12 0
13 0
14 0
15 0
16 0
17 0
18 0
19 0
20 0
21 0
22 0
23 0
24 1
25 0
26 1
27 0
28 0
29 1
30 0
31 0
32 0
33 0
34 0
35 0
36 0
37 0
38 0
39 0
40 1
41 0
42 1
43 0
44 0
45 1
46 0
47 1
48 0
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 1
61 0
62 1
63 0
64 0
65 1
66 0
67 1
68 0
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 1
83 0
84 0
85 0
86 1
87 1
88 0
89 0
90 0
91 0
92 0
93 0
94 0
95 0
96 0
97 0
98 0
99 0
100 0
101 0
102 1
103 0
104 1
105 0
106 1
107 1
108 0
109 1
110 0
111 0
112 0
113 0
114 0
115 0
116 0
117 0
118 0
119 0
120 1
121 0
122 1
123 0
124 0
125 1
126 0
127 1
128 0
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 1
141 0
142 1
143 0
144 0
145 1
146 0
147 1
148 0
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
39
## name
robot-at(x9, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(2) $s(39)) and($a(0) $s(39)) and($a(3) $s(39))) : $c(0)) (or(and($a(1) $s(79)) and($a(0) $s(33)) and($a(3) $s(5))) : $c(1)) ($c(1) : $s(39)) )
## hash index
39
## caching type 
VECTOR
## precomputed results
160
0 0
1 0
2 0
3 0
4 0
5 0
6 1
7 0
8 0
9 0
10 0
11 0
12 0
13 0
14 0
15 0
16 0
17 0
18 0
19 0
20 0
21 0
22 0
23 0
24 1
25 0
26 1
27 0
28 0
29 1
30 0
31 0
32 0
33 0
34 0
35 0
36 0
37 0
38 0
39 0
40 1
41 0
42 0
43 1
44 0
45 1
46 0
47 0
48 1
49 0
50 0
51 0
52 0
53 0
54 0
55 0
56 0
57 0
58 0
59 0
60 1
61 0
62 0
63 1
64 0
65 1
66 0
67 0
68 1
69 0
70 0
71 0
72 0
73 0
74 0
75 0
76 0
77 0
78 0
79 0
80 0
81 0
82 0
83 1
84 0
85 0
86 1
87 0
88 1
89 0
90 0
91 0
92 0
93 0
94 0
95 0
96 0
97 0
98 0
99 0
100 0
101 0
102 0
103 1
104 1
105 0
106 1
107 0
108 1
109 1
110 0
111 0
112 0
113 0
114 0
115 0
116 0
117 0
118 0
119 0
120 1
121 0
122 0
123 1
124 0
125 1
126 0
127 0
128 1
129 0
130 0
131 0
132 0
133 0
134 0
135 0
136 0
137 0
138 0
139 0
140 1
141 0
142 0
143 1
144 0
145 1
146 0
147 0
148 1
149 0
150 0
151 0
152 0
153 0
154 0
155 0
156 0
157 0
158 0
159 0
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4



#####PROB STATE FLUENTS AND CPFS#####
## index
0
## name
robot-at(x105, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(40)) and($a(2) $s(40)) and($a(0) $s(40)) and($a(3) $s(40))) : $c(0)) (or(and($a(1) $s(0)) and($a(2) $s(41)) and($a(0) $s(76)) and($a(3) $s(42))) : Bernoulli($c(0.555314765262761))) ($c(1) : $s(40)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(40)) and($a(2) $s(40)) and($a(0) $s(40)) and($a(3) $s(40))) : $c(0)) (or(and($a(1) $s(0)) and($a(2) $s(41)) and($a(0) $s(76)) and($a(3) $s(42))) : $c(1)) ($c(1) : $s(40)) )
## hash index
40
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 1 2 0 0.444685234737239 1 0.555314765262761
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 1 1 1 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 1 0 1
25 1 1 1 1
26 0 1 0 1
27 0 1 0 1
28 0 1 0 1
29 0 1 0 1
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 1 2 0 0.444685234737239 1 0.555314765262761
43 0 1 0 1
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 1 2 0 0.444685234737239 1 0.555314765262761
48 1 2 0 0.444685234737239 1 0.555314765262761
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 1 2 0 0.444685234737239 1 0.555314765262761
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 1 2 0 0.444685234737239 1 0.555314765262761
87 0 1 0 1
88 1 2 0 0.444685234737239 1 0.555314765262761
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 1 1 1 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 0 1 0 1
121 1 2 0 0.444685234737239 1 0.555314765262761
122 1 2 0 0.444685234737239 1 0.555314765262761
123 0 1 0 1
124 0 1 0 1
125 0 1 0 1
126 1 2 0 0.444685234737239 1 0.555314765262761
127 1 2 0 0.444685234737239 1 0.555314765262761
128 1 2 0 0.444685234737239 1 0.555314765262761
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 1 0 1
162 0 1 0 1
163 0 1 0 1
164 1 2 0 0.444685234737239 1 0.555314765262761
165 0 1 0 1
166 0 1 0 1
167 0 1 0 1
168 1 2 0 0.444685234737239 1 0.555314765262761
169 1 2 0 0.444685234737239 1 0.555314765262761
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 1 1 1 1
181 0 1 0 1
182 0 1 0 1
183 0 1 0 1
184 0 1 0 1
185 1 1 1 1
186 0 1 0 1
187 0 1 0 1
188 0 1 0 1
189 0 1 0 1
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 0 1 0 1
202 1 2 0 0.444685234737239 1 0.555314765262761
203 0 1 0 1
204 1 2 0 0.444685234737239 1 0.555314765262761
205 0 1 0 1
206 0 1 0 1
207 1 2 0 0.444685234737239 1 0.555314765262761
208 1 2 0 0.444685234737239 1 0.555314765262761
209 1 2 0 0.444685234737239 1 0.555314765262761
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 1 1 1 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 1 2 0 0.444685234737239 1 0.555314765262761
242 0 1 0 1
243 0 1 0 1
244 1 2 0 0.444685234737239 1 0.555314765262761
245 0 1 0 1
246 1 2 0 0.444685234737239 1 0.555314765262761
247 0 1 0 1
248 1 2 0 0.444685234737239 1 0.555314765262761
249 1 2 0 0.444685234737239 1 0.555314765262761
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 1 1 1 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 0 1 0 1
281 1 2 0 0.444685234737239 1 0.555314765262761
282 1 2 0 0.444685234737239 1 0.555314765262761
283 0 1 0 1
284 1 2 0 0.444685234737239 1 0.555314765262761
285 0 1 0 1
286 1 2 0 0.444685234737239 1 0.555314765262761
287 1 2 0 0.444685234737239 1 0.555314765262761
288 1 2 0 0.444685234737239 1 0.555314765262761
289 1 2 0 0.444685234737239 1 0.555314765262761
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
1
## name
robot-at(x105, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(41)) and($a(2) $s(41)) and($a(0) $s(41)) and($a(3) $s(41))) : $c(0)) (or(and($a(1) $s(40)) and($a(2) $s(1)) and($a(0) $s(77)) and($a(3) $s(43))) : Bernoulli($c(0.514730942386546))) ($c(1) : $s(41)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(41)) and($a(2) $s(41)) and($a(0) $s(41)) and($a(3) $s(41))) : $c(0)) (or(and($a(1) $s(40)) and($a(2) $s(1)) and($a(0) $s(77)) and($a(3) $s(43))) : $c(1)) ($c(1) : $s(41)) )
## hash index
41
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 1 2 0 0.485269057613454 1 0.514730942386546
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 1 2 0 0.485269057613454 1 0.514730942386546
24 0 1 0 1
25 0 1 0 1
26 0 1 0 1
27 1 2 0 0.485269057613454 1 0.514730942386546
28 1 2 0 0.485269057613454 1 0.514730942386546
29 0 1 0 1
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 1 1 1 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 1 2 0 0.485269057613454 1 0.514730942386546
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 1 2 0 0.485269057613454 1 0.514730942386546
87 1 2 0 0.485269057613454 1 0.514730942386546
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 1 2 0 0.485269057613454 1 0.514730942386546
102 0 1 0 1
103 1 2 0 0.485269057613454 1 0.514730942386546
104 0 1 0 1
105 0 1 0 1
106 1 2 0 0.485269057613454 1 0.514730942386546
107 1 2 0 0.485269057613454 1 0.514730942386546
108 1 2 0 0.485269057613454 1 0.514730942386546
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 1 0 1
162 0 1 0 1
163 0 1 0 1
164 1 2 0 0.485269057613454 1 0.514730942386546
165 0 1 0 1
166 0 1 0 1
167 1 2 0 0.485269057613454 1 0.514730942386546
168 0 1 0 1
169 1 2 0 0.485269057613454 1 0.514730942386546
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 1 0 1
182 0 1 0 1
183 1 2 0 0.485269057613454 1 0.514730942386546
184 1 2 0 0.485269057613454 1 0.514730942386546
185 0 1 0 1
186 0 1 0 1
187 1 2 0 0.485269057613454 1 0.514730942386546
188 1 2 0 0.485269057613454 1 0.514730942386546
189 1 2 0 0.485269057613454 1 0.514730942386546
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 1 1 1 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 1 1 1 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 1 2 0 0.485269057613454 1 0.514730942386546
242 0 1 0 1
243 0 1 0 1
244 1 2 0 0.485269057613454 1 0.514730942386546
245 0 1 0 1
246 1 2 0 0.485269057613454 1 0.514730942386546
247 1 2 0 0.485269057613454 1 0.514730942386546
248 0 1 0 1
249 1 2 0 0.485269057613454 1 0.514730942386546
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 0 1 0 1
261 1 2 0 0.485269057613454 1 0.514730942386546
262 0 1 0 1
263 1 2 0 0.485269057613454 1 0.514730942386546
264 1 2 0 0.485269057613454 1 0.514730942386546
265 0 1 0 1
266 1 2 0 0.485269057613454 1 0.514730942386546
267 1 2 0 0.485269057613454 1 0.514730942386546
268 1 2 0 0.485269057613454 1 0.514730942386546
269 1 2 0 0.485269057613454 1 0.514730942386546
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
2
## name
robot-at(x126, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(42)) and($a(2) $s(42)) and($a(0) $s(42)) and($a(3) $s(42))) : $c(0)) (or(and($a(1) $s(2)) and($a(2) $s(43)) and($a(0) $s(40)) and($a(3) $s(46))) : Bernoulli($c(0.481645917323859))) ($c(1) : $s(42)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(42)) and($a(2) $s(42)) and($a(0) $s(42)) and($a(3) $s(42))) : $c(0)) (or(and($a(1) $s(2)) and($a(2) $s(43)) and($a(0) $s(40)) and($a(3) $s(46))) : $c(0)) ($c(1) : $s(42)) )
## hash index
42
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 2 0 0.518354082676141 1 0.481645917323859
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.518354082676141 1 0.481645917323859
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.518354082676141 1 0.481645917323859
29 0 2 0 0.518354082676141 1 0.481645917323859
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 1 1 1 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 0 2 0 0.518354082676141 1 0.481645917323859
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.518354082676141 1 0.481645917323859
88 0 2 0 0.518354082676141 1 0.481645917323859
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 0 1 0 1
102 0 2 0 0.518354082676141 1 0.481645917323859
103 0 1 0 1
104 0 2 0 0.518354082676141 1 0.481645917323859
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.518354082676141 1 0.481645917323859
108 0 2 0 0.518354082676141 1 0.481645917323859
109 0 2 0 0.518354082676141 1 0.481645917323859
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.518354082676141 1 0.481645917323859
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.518354082676141 1 0.481645917323859
167 0 1 0 1
168 0 2 0 0.518354082676141 1 0.481645917323859
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.518354082676141 1 0.481645917323859
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.518354082676141 1 0.481645917323859
185 0 1 0 1
186 0 2 0 0.518354082676141 1 0.481645917323859
187 0 1 0 1
188 0 2 0 0.518354082676141 1 0.481645917323859
189 0 2 0 0.518354082676141 1 0.481645917323859
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 1 1 1 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 1 1 1 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 0 2 0 0.518354082676141 1 0.481645917323859
242 0 2 0 0.518354082676141 1 0.481645917323859
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.518354082676141 1 0.481645917323859
247 0 2 0 0.518354082676141 1 0.481645917323859
248 0 2 0 0.518354082676141 1 0.481645917323859
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 0 1 0 1
261 0 2 0 0.518354082676141 1 0.481645917323859
262 0 2 0 0.518354082676141 1 0.481645917323859
263 0 1 0 1
264 0 2 0 0.518354082676141 1 0.481645917323859
265 0 1 0 1
266 0 2 0 0.518354082676141 1 0.481645917323859
267 0 2 0 0.518354082676141 1 0.481645917323859
268 0 2 0 0.518354082676141 1 0.481645917323859
269 0 2 0 0.518354082676141 1 0.481645917323859
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
3
## name
robot-at(x126, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(43)) and($a(2) $s(43)) and($a(0) $s(43)) and($a(3) $s(43))) : $c(0)) (or(and($a(1) $s(42)) and($a(2) $s(3)) and($a(0) $s(41)) and($a(3) $s(47))) : Bernoulli($c(0.474472632435592))) ($c(1) : $s(43)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(43)) and($a(2) $s(43)) and($a(0) $s(43)) and($a(3) $s(43))) : $c(0)) (or(and($a(1) $s(42)) and($a(2) $s(3)) and($a(0) $s(41)) and($a(3) $s(47))) : $c(0)) ($c(1) : $s(43)) )
## hash index
43
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 2 0 0.525527367564408 1 0.474472632435592
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.525527367564408 1 0.474472632435592
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.525527367564408 1 0.474472632435592
28 0 1 0 1
29 0 2 0 0.525527367564408 1 0.474472632435592
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 0 2 0 0.525527367564408 1 0.474472632435592
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.525527367564408 1 0.474472632435592
48 0 2 0 0.525527367564408 1 0.474472632435592
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 0 1 0 1
62 0 1 0 1
63 0 2 0 0.525527367564408 1 0.474472632435592
64 0 2 0 0.525527367564408 1 0.474472632435592
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.525527367564408 1 0.474472632435592
68 0 2 0 0.525527367564408 1 0.474472632435592
69 0 2 0 0.525527367564408 1 0.474472632435592
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 1 1 1 1
81 0 1 0 1
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 1 1 1 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 1 1 1 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.525527367564408 1 0.474472632435592
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.525527367564408 1 0.474472632435592
167 0 2 0 0.525527367564408 1 0.474472632435592
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.525527367564408 1 0.474472632435592
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.525527367564408 1 0.474472632435592
185 0 1 0 1
186 0 2 0 0.525527367564408 1 0.474472632435592
187 0 2 0 0.525527367564408 1 0.474472632435592
188 0 1 0 1
189 0 2 0 0.525527367564408 1 0.474472632435592
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 0 2 0 0.525527367564408 1 0.474472632435592
202 0 1 0 1
203 0 2 0 0.525527367564408 1 0.474472632435592
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.525527367564408 1 0.474472632435592
207 0 2 0 0.525527367564408 1 0.474472632435592
208 0 2 0 0.525527367564408 1 0.474472632435592
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 0 1 0 1
221 0 2 0 0.525527367564408 1 0.474472632435592
222 0 1 0 1
223 0 2 0 0.525527367564408 1 0.474472632435592
224 0 2 0 0.525527367564408 1 0.474472632435592
225 0 1 0 1
226 0 2 0 0.525527367564408 1 0.474472632435592
227 0 2 0 0.525527367564408 1 0.474472632435592
228 0 2 0 0.525527367564408 1 0.474472632435592
229 0 2 0 0.525527367564408 1 0.474472632435592
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 1 1 1 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 1 1 1 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
4
## name
robot-at(x14, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(44)) and($a(2) $s(44)) and($a(0) $s(44)) and($a(3) $s(44))) : $c(0)) (or(and($a(1) $s(4)) and($a(2) $s(45)) and($a(0) $s(78)) and($a(3) $s(52))) : Bernoulli($c(0.894883598249994))) ($c(1) : $s(44)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(44)) and($a(2) $s(44)) and($a(0) $s(44)) and($a(3) $s(44))) : $c(0)) (or(and($a(1) $s(4)) and($a(2) $s(45)) and($a(0) $s(78)) and($a(3) $s(52))) : $c(1)) ($c(1) : $s(44)) )
## hash index
44
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 1 2 0 0.105116401750006 1 0.894883598249994
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 1 1 1 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 1 0 1
25 1 1 1 1
26 0 1 0 1
27 0 1 0 1
28 0 1 0 1
29 0 1 0 1
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 1 2 0 0.105116401750006 1 0.894883598249994
43 0 1 0 1
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 1 2 0 0.105116401750006 1 0.894883598249994
48 1 2 0 0.105116401750006 1 0.894883598249994
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 1 2 0 0.105116401750006 1 0.894883598249994
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 1 2 0 0.105116401750006 1 0.894883598249994
87 0 1 0 1
88 1 2 0 0.105116401750006 1 0.894883598249994
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 1 1 1 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 0 1 0 1
121 1 2 0 0.105116401750006 1 0.894883598249994
122 1 2 0 0.105116401750006 1 0.894883598249994
123 0 1 0 1
124 0 1 0 1
125 0 1 0 1
126 1 2 0 0.105116401750006 1 0.894883598249994
127 1 2 0 0.105116401750006 1 0.894883598249994
128 1 2 0 0.105116401750006 1 0.894883598249994
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 1 0 1
162 0 1 0 1
163 0 1 0 1
164 1 2 0 0.105116401750006 1 0.894883598249994
165 0 1 0 1
166 0 1 0 1
167 0 1 0 1
168 1 2 0 0.105116401750006 1 0.894883598249994
169 1 2 0 0.105116401750006 1 0.894883598249994
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 1 1 1 1
181 0 1 0 1
182 0 1 0 1
183 0 1 0 1
184 0 1 0 1
185 1 1 1 1
186 0 1 0 1
187 0 1 0 1
188 0 1 0 1
189 0 1 0 1
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 0 1 0 1
202 1 2 0 0.105116401750006 1 0.894883598249994
203 0 1 0 1
204 1 2 0 0.105116401750006 1 0.894883598249994
205 0 1 0 1
206 0 1 0 1
207 1 2 0 0.105116401750006 1 0.894883598249994
208 1 2 0 0.105116401750006 1 0.894883598249994
209 1 2 0 0.105116401750006 1 0.894883598249994
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 1 1 1 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 1 2 0 0.105116401750006 1 0.894883598249994
242 0 1 0 1
243 0 1 0 1
244 1 2 0 0.105116401750006 1 0.894883598249994
245 0 1 0 1
246 1 2 0 0.105116401750006 1 0.894883598249994
247 0 1 0 1
248 1 2 0 0.105116401750006 1 0.894883598249994
249 1 2 0 0.105116401750006 1 0.894883598249994
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 1 1 1 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 0 1 0 1
281 1 2 0 0.105116401750006 1 0.894883598249994
282 1 2 0 0.105116401750006 1 0.894883598249994
283 0 1 0 1
284 1 2 0 0.105116401750006 1 0.894883598249994
285 0 1 0 1
286 1 2 0 0.105116401750006 1 0.894883598249994
287 1 2 0 0.105116401750006 1 0.894883598249994
288 1 2 0 0.105116401750006 1 0.894883598249994
289 1 2 0 0.105116401750006 1 0.894883598249994
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
5
## name
robot-at(x14, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(45)) and($a(2) $s(45)) and($a(0) $s(45)) and($a(3) $s(45))) : $c(0)) (or(and($a(1) $s(44)) and($a(2) $s(5)) and($a(0) $s(79)) and($a(3) $s(53))) : Bernoulli($c(0.88167652306392))) ($c(1) : $s(45)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(45)) and($a(2) $s(45)) and($a(0) $s(45)) and($a(3) $s(45))) : $c(0)) (or(and($a(1) $s(44)) and($a(2) $s(5)) and($a(0) $s(79)) and($a(3) $s(53))) : $c(1)) ($c(1) : $s(45)) )
## hash index
45
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 1 2 0 0.11832347693608 1 0.88167652306392
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 1 2 0 0.11832347693608 1 0.88167652306392
24 0 1 0 1
25 0 1 0 1
26 0 1 0 1
27 1 2 0 0.11832347693608 1 0.88167652306392
28 1 2 0 0.11832347693608 1 0.88167652306392
29 0 1 0 1
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 1 1 1 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 1 2 0 0.11832347693608 1 0.88167652306392
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 1 2 0 0.11832347693608 1 0.88167652306392
87 1 2 0 0.11832347693608 1 0.88167652306392
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 1 2 0 0.11832347693608 1 0.88167652306392
102 0 1 0 1
103 1 2 0 0.11832347693608 1 0.88167652306392
104 0 1 0 1
105 0 1 0 1
106 1 2 0 0.11832347693608 1 0.88167652306392
107 1 2 0 0.11832347693608 1 0.88167652306392
108 1 2 0 0.11832347693608 1 0.88167652306392
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 1 0 1
162 0 1 0 1
163 0 1 0 1
164 1 2 0 0.11832347693608 1 0.88167652306392
165 0 1 0 1
166 0 1 0 1
167 1 2 0 0.11832347693608 1 0.88167652306392
168 0 1 0 1
169 1 2 0 0.11832347693608 1 0.88167652306392
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 1 0 1
182 0 1 0 1
183 1 2 0 0.11832347693608 1 0.88167652306392
184 1 2 0 0.11832347693608 1 0.88167652306392
185 0 1 0 1
186 0 1 0 1
187 1 2 0 0.11832347693608 1 0.88167652306392
188 1 2 0 0.11832347693608 1 0.88167652306392
189 1 2 0 0.11832347693608 1 0.88167652306392
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 1 1 1 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 1 1 1 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 1 2 0 0.11832347693608 1 0.88167652306392
242 0 1 0 1
243 0 1 0 1
244 1 2 0 0.11832347693608 1 0.88167652306392
245 0 1 0 1
246 1 2 0 0.11832347693608 1 0.88167652306392
247 1 2 0 0.11832347693608 1 0.88167652306392
248 0 1 0 1
249 1 2 0 0.11832347693608 1 0.88167652306392
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 0 1 0 1
261 1 2 0 0.11832347693608 1 0.88167652306392
262 0 1 0 1
263 1 2 0 0.11832347693608 1 0.88167652306392
264 1 2 0 0.11832347693608 1 0.88167652306392
265 0 1 0 1
266 1 2 0 0.11832347693608 1 0.88167652306392
267 1 2 0 0.11832347693608 1 0.88167652306392
268 1 2 0 0.11832347693608 1 0.88167652306392
269 1 2 0 0.11832347693608 1 0.88167652306392
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
6
## name
robot-at(x149, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(46)) and($a(2) $s(46)) and($a(0) $s(46)) and($a(3) $s(46))) : $c(0)) (or(and($a(1) $s(6)) and($a(2) $s(47)) and($a(0) $s(42)) and($a(3) $s(48))) : Bernoulli($c(0.453877576185684))) ($c(1) : $s(46)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(46)) and($a(2) $s(46)) and($a(0) $s(46)) and($a(3) $s(46))) : $c(0)) (or(and($a(1) $s(6)) and($a(2) $s(47)) and($a(0) $s(42)) and($a(3) $s(48))) : $c(0)) ($c(1) : $s(46)) )
## hash index
46
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 2 0 0.546122423814316 1 0.453877576185684
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.546122423814316 1 0.453877576185684
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.546122423814316 1 0.453877576185684
29 0 2 0 0.546122423814316 1 0.453877576185684
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 1 1 1 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 0 2 0 0.546122423814316 1 0.453877576185684
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.546122423814316 1 0.453877576185684
88 0 2 0 0.546122423814316 1 0.453877576185684
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 0 1 0 1
102 0 2 0 0.546122423814316 1 0.453877576185684
103 0 1 0 1
104 0 2 0 0.546122423814316 1 0.453877576185684
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.546122423814316 1 0.453877576185684
108 0 2 0 0.546122423814316 1 0.453877576185684
109 0 2 0 0.546122423814316 1 0.453877576185684
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.546122423814316 1 0.453877576185684
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.546122423814316 1 0.453877576185684
167 0 1 0 1
168 0 2 0 0.546122423814316 1 0.453877576185684
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.546122423814316 1 0.453877576185684
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.546122423814316 1 0.453877576185684
185 0 1 0 1
186 0 2 0 0.546122423814316 1 0.453877576185684
187 0 1 0 1
188 0 2 0 0.546122423814316 1 0.453877576185684
189 0 2 0 0.546122423814316 1 0.453877576185684
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 1 1 1 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 1 1 1 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 0 2 0 0.546122423814316 1 0.453877576185684
242 0 2 0 0.546122423814316 1 0.453877576185684
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.546122423814316 1 0.453877576185684
247 0 2 0 0.546122423814316 1 0.453877576185684
248 0 2 0 0.546122423814316 1 0.453877576185684
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 0 1 0 1
261 0 2 0 0.546122423814316 1 0.453877576185684
262 0 2 0 0.546122423814316 1 0.453877576185684
263 0 1 0 1
264 0 2 0 0.546122423814316 1 0.453877576185684
265 0 1 0 1
266 0 2 0 0.546122423814316 1 0.453877576185684
267 0 2 0 0.546122423814316 1 0.453877576185684
268 0 2 0 0.546122423814316 1 0.453877576185684
269 0 2 0 0.546122423814316 1 0.453877576185684
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
7
## name
robot-at(x149, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(47)) and($a(2) $s(47)) and($a(0) $s(47)) and($a(3) $s(47))) : $c(0)) (or(and($a(1) $s(46)) and($a(2) $s(7)) and($a(0) $s(43)) and($a(3) $s(49))) : Bernoulli($c(0.447873820109587))) ($c(1) : $s(47)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(47)) and($a(2) $s(47)) and($a(0) $s(47)) and($a(3) $s(47))) : $c(0)) (or(and($a(1) $s(46)) and($a(2) $s(7)) and($a(0) $s(43)) and($a(3) $s(49))) : $c(0)) ($c(1) : $s(47)) )
## hash index
47
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 2 0 0.552126179890413 1 0.447873820109587
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.552126179890413 1 0.447873820109587
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.552126179890413 1 0.447873820109587
28 0 1 0 1
29 0 2 0 0.552126179890413 1 0.447873820109587
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 0 2 0 0.552126179890413 1 0.447873820109587
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.552126179890413 1 0.447873820109587
48 0 2 0 0.552126179890413 1 0.447873820109587
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 0 1 0 1
62 0 1 0 1
63 0 2 0 0.552126179890413 1 0.447873820109587
64 0 2 0 0.552126179890413 1 0.447873820109587
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.552126179890413 1 0.447873820109587
68 0 2 0 0.552126179890413 1 0.447873820109587
69 0 2 0 0.552126179890413 1 0.447873820109587
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 1 1 1 1
81 0 1 0 1
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 1 1 1 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 1 1 1 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.552126179890413 1 0.447873820109587
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.552126179890413 1 0.447873820109587
167 0 2 0 0.552126179890413 1 0.447873820109587
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.552126179890413 1 0.447873820109587
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.552126179890413 1 0.447873820109587
185 0 1 0 1
186 0 2 0 0.552126179890413 1 0.447873820109587
187 0 2 0 0.552126179890413 1 0.447873820109587
188 0 1 0 1
189 0 2 0 0.552126179890413 1 0.447873820109587
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 0 2 0 0.552126179890413 1 0.447873820109587
202 0 1 0 1
203 0 2 0 0.552126179890413 1 0.447873820109587
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.552126179890413 1 0.447873820109587
207 0 2 0 0.552126179890413 1 0.447873820109587
208 0 2 0 0.552126179890413 1 0.447873820109587
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 0 1 0 1
221 0 2 0 0.552126179890413 1 0.447873820109587
222 0 1 0 1
223 0 2 0 0.552126179890413 1 0.447873820109587
224 0 2 0 0.552126179890413 1 0.447873820109587
225 0 1 0 1
226 0 2 0 0.552126179890413 1 0.447873820109587
227 0 2 0 0.552126179890413 1 0.447873820109587
228 0 2 0 0.552126179890413 1 0.447873820109587
229 0 2 0 0.552126179890413 1 0.447873820109587
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 1 1 1 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 1 1 1 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
8
## name
robot-at(x174, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(48)) and($a(2) $s(48)) and($a(0) $s(48)) and($a(3) $s(48))) : $c(0)) (or(and($a(1) $s(8)) and($a(2) $s(49)) and($a(0) $s(46)) and($a(3) $s(50))) : Bernoulli($c(0.376048787742069))) ($c(1) : $s(48)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(48)) and($a(2) $s(48)) and($a(0) $s(48)) and($a(3) $s(48))) : $c(0)) (or(and($a(1) $s(8)) and($a(2) $s(49)) and($a(0) $s(46)) and($a(3) $s(50))) : $c(0)) ($c(1) : $s(48)) )
## hash index
48
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 2 0 0.623951212257931 1 0.376048787742069
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.623951212257931 1 0.376048787742069
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.623951212257931 1 0.376048787742069
29 0 2 0 0.623951212257931 1 0.376048787742069
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 1 1 1 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 0 2 0 0.623951212257931 1 0.376048787742069
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.623951212257931 1 0.376048787742069
88 0 2 0 0.623951212257931 1 0.376048787742069
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 0 1 0 1
102 0 2 0 0.623951212257931 1 0.376048787742069
103 0 1 0 1
104 0 2 0 0.623951212257931 1 0.376048787742069
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.623951212257931 1 0.376048787742069
108 0 2 0 0.623951212257931 1 0.376048787742069
109 0 2 0 0.623951212257931 1 0.376048787742069
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.623951212257931 1 0.376048787742069
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.623951212257931 1 0.376048787742069
167 0 1 0 1
168 0 2 0 0.623951212257931 1 0.376048787742069
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.623951212257931 1 0.376048787742069
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.623951212257931 1 0.376048787742069
185 0 1 0 1
186 0 2 0 0.623951212257931 1 0.376048787742069
187 0 1 0 1
188 0 2 0 0.623951212257931 1 0.376048787742069
189 0 2 0 0.623951212257931 1 0.376048787742069
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 1 1 1 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 1 1 1 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 0 2 0 0.623951212257931 1 0.376048787742069
242 0 2 0 0.623951212257931 1 0.376048787742069
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.623951212257931 1 0.376048787742069
247 0 2 0 0.623951212257931 1 0.376048787742069
248 0 2 0 0.623951212257931 1 0.376048787742069
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 0 1 0 1
261 0 2 0 0.623951212257931 1 0.376048787742069
262 0 2 0 0.623951212257931 1 0.376048787742069
263 0 1 0 1
264 0 2 0 0.623951212257931 1 0.376048787742069
265 0 1 0 1
266 0 2 0 0.623951212257931 1 0.376048787742069
267 0 2 0 0.623951212257931 1 0.376048787742069
268 0 2 0 0.623951212257931 1 0.376048787742069
269 0 2 0 0.623951212257931 1 0.376048787742069
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
9
## name
robot-at(x174, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(49)) and($a(2) $s(49)) and($a(0) $s(49)) and($a(3) $s(49))) : $c(0)) (or(and($a(1) $s(48)) and($a(2) $s(9)) and($a(0) $s(47)) and($a(3) $s(51))) : Bernoulli($c(0.417657445895633))) ($c(1) : $s(49)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(49)) and($a(2) $s(49)) and($a(0) $s(49)) and($a(3) $s(49))) : $c(0)) (or(and($a(1) $s(48)) and($a(2) $s(9)) and($a(0) $s(47)) and($a(3) $s(51))) : $c(0)) ($c(1) : $s(49)) )
## hash index
49
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 2 0 0.582342554104367 1 0.417657445895633
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.582342554104367 1 0.417657445895633
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.582342554104367 1 0.417657445895633
28 0 1 0 1
29 0 2 0 0.582342554104367 1 0.417657445895633
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 0 2 0 0.582342554104367 1 0.417657445895633
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.582342554104367 1 0.417657445895633
48 0 2 0 0.582342554104367 1 0.417657445895633
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 0 1 0 1
62 0 1 0 1
63 0 2 0 0.582342554104367 1 0.417657445895633
64 0 2 0 0.582342554104367 1 0.417657445895633
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.582342554104367 1 0.417657445895633
68 0 2 0 0.582342554104367 1 0.417657445895633
69 0 2 0 0.582342554104367 1 0.417657445895633
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 1 1 1 1
81 0 1 0 1
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 1 1 1 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 1 1 1 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.582342554104367 1 0.417657445895633
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.582342554104367 1 0.417657445895633
167 0 2 0 0.582342554104367 1 0.417657445895633
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.582342554104367 1 0.417657445895633
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.582342554104367 1 0.417657445895633
185 0 1 0 1
186 0 2 0 0.582342554104367 1 0.417657445895633
187 0 2 0 0.582342554104367 1 0.417657445895633
188 0 1 0 1
189 0 2 0 0.582342554104367 1 0.417657445895633
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 0 2 0 0.582342554104367 1 0.417657445895633
202 0 1 0 1
203 0 2 0 0.582342554104367 1 0.417657445895633
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.582342554104367 1 0.417657445895633
207 0 2 0 0.582342554104367 1 0.417657445895633
208 0 2 0 0.582342554104367 1 0.417657445895633
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 0 1 0 1
221 0 2 0 0.582342554104367 1 0.417657445895633
222 0 1 0 1
223 0 2 0 0.582342554104367 1 0.417657445895633
224 0 2 0 0.582342554104367 1 0.417657445895633
225 0 1 0 1
226 0 2 0 0.582342554104367 1 0.417657445895633
227 0 2 0 0.582342554104367 1 0.417657445895633
228 0 2 0 0.582342554104367 1 0.417657445895633
229 0 2 0 0.582342554104367 1 0.417657445895633
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 1 1 1 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 1 1 1 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
10
## name
robot-at(x201, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(50)) and($a(2) $s(50)) and($a(0) $s(50)) and($a(3) $s(50))) : $c(0)) (or(and($a(1) $s(10)) and($a(2) $s(51)) and($a(0) $s(48)) and($a(3) $s(54))) : Bernoulli($c(0.331928003677412))) ($c(1) : $s(50)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(50)) and($a(2) $s(50)) and($a(0) $s(50)) and($a(3) $s(50))) : $c(0)) (or(and($a(1) $s(10)) and($a(2) $s(51)) and($a(0) $s(48)) and($a(3) $s(54))) : $c(0)) ($c(1) : $s(50)) )
## hash index
50
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 2 0 0.668071996322588 1 0.331928003677412
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.668071996322588 1 0.331928003677412
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.668071996322588 1 0.331928003677412
29 0 2 0 0.668071996322588 1 0.331928003677412
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 1 1 1 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 0 2 0 0.668071996322588 1 0.331928003677412
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.668071996322588 1 0.331928003677412
88 0 2 0 0.668071996322588 1 0.331928003677412
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 0 1 0 1
102 0 2 0 0.668071996322588 1 0.331928003677412
103 0 1 0 1
104 0 2 0 0.668071996322588 1 0.331928003677412
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.668071996322588 1 0.331928003677412
108 0 2 0 0.668071996322588 1 0.331928003677412
109 0 2 0 0.668071996322588 1 0.331928003677412
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.668071996322588 1 0.331928003677412
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.668071996322588 1 0.331928003677412
167 0 1 0 1
168 0 2 0 0.668071996322588 1 0.331928003677412
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.668071996322588 1 0.331928003677412
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.668071996322588 1 0.331928003677412
185 0 1 0 1
186 0 2 0 0.668071996322588 1 0.331928003677412
187 0 1 0 1
188 0 2 0 0.668071996322588 1 0.331928003677412
189 0 2 0 0.668071996322588 1 0.331928003677412
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 1 1 1 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 1 1 1 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 0 2 0 0.668071996322588 1 0.331928003677412
242 0 2 0 0.668071996322588 1 0.331928003677412
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.668071996322588 1 0.331928003677412
247 0 2 0 0.668071996322588 1 0.331928003677412
248 0 2 0 0.668071996322588 1 0.331928003677412
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 0 1 0 1
261 0 2 0 0.668071996322588 1 0.331928003677412
262 0 2 0 0.668071996322588 1 0.331928003677412
263 0 1 0 1
264 0 2 0 0.668071996322588 1 0.331928003677412
265 0 1 0 1
266 0 2 0 0.668071996322588 1 0.331928003677412
267 0 2 0 0.668071996322588 1 0.331928003677412
268 0 2 0 0.668071996322588 1 0.331928003677412
269 0 2 0 0.668071996322588 1 0.331928003677412
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
11
## name
robot-at(x201, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(51)) and($a(2) $s(51)) and($a(0) $s(51)) and($a(3) $s(51))) : $c(0)) (or(and($a(1) $s(50)) and($a(2) $s(11)) and($a(0) $s(49)) and($a(3) $s(55))) : Bernoulli($c(0.357426872574969))) ($c(1) : $s(51)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(51)) and($a(2) $s(51)) and($a(0) $s(51)) and($a(3) $s(51))) : $c(0)) (or(and($a(1) $s(50)) and($a(2) $s(11)) and($a(0) $s(49)) and($a(3) $s(55))) : $c(0)) ($c(1) : $s(51)) )
## hash index
51
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 2 0 0.642573127425031 1 0.357426872574969
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.642573127425031 1 0.357426872574969
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.642573127425031 1 0.357426872574969
28 0 1 0 1
29 0 2 0 0.642573127425031 1 0.357426872574969
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 0 2 0 0.642573127425031 1 0.357426872574969
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.642573127425031 1 0.357426872574969
48 0 2 0 0.642573127425031 1 0.357426872574969
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 0 1 0 1
62 0 1 0 1
63 0 2 0 0.642573127425031 1 0.357426872574969
64 0 2 0 0.642573127425031 1 0.357426872574969
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.642573127425031 1 0.357426872574969
68 0 2 0 0.642573127425031 1 0.357426872574969
69 0 2 0 0.642573127425031 1 0.357426872574969
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 1 1 1 1
81 0 1 0 1
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 1 1 1 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 1 1 1 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.642573127425031 1 0.357426872574969
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.642573127425031 1 0.357426872574969
167 0 2 0 0.642573127425031 1 0.357426872574969
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.642573127425031 1 0.357426872574969
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.642573127425031 1 0.357426872574969
185 0 1 0 1
186 0 2 0 0.642573127425031 1 0.357426872574969
187 0 2 0 0.642573127425031 1 0.357426872574969
188 0 1 0 1
189 0 2 0 0.642573127425031 1 0.357426872574969
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 0 2 0 0.642573127425031 1 0.357426872574969
202 0 1 0 1
203 0 2 0 0.642573127425031 1 0.357426872574969
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.642573127425031 1 0.357426872574969
207 0 2 0 0.642573127425031 1 0.357426872574969
208 0 2 0 0.642573127425031 1 0.357426872574969
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 0 1 0 1
221 0 2 0 0.642573127425031 1 0.357426872574969
222 0 1 0 1
223 0 2 0 0.642573127425031 1 0.357426872574969
224 0 2 0 0.642573127425031 1 0.357426872574969
225 0 1 0 1
226 0 2 0 0.642573127425031 1 0.357426872574969
227 0 2 0 0.642573127425031 1 0.357426872574969
228 0 2 0 0.642573127425031 1 0.357426872574969
229 0 2 0 0.642573127425031 1 0.357426872574969
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 1 1 1 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 1 1 1 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
12
## name
robot-at(x21, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(52)) and($a(2) $s(52)) and($a(0) $s(52)) and($a(3) $s(52))) : $c(0)) (or(and($a(1) $s(12)) and($a(2) $s(53)) and($a(0) $s(44)) and($a(3) $s(60))) : Bernoulli($c(0.813005157109154))) ($c(1) : $s(52)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(52)) and($a(2) $s(52)) and($a(0) $s(52)) and($a(3) $s(52))) : $c(0)) (or(and($a(1) $s(12)) and($a(2) $s(53)) and($a(0) $s(44)) and($a(3) $s(60))) : $c(1)) ($c(1) : $s(52)) )
## hash index
52
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 1 2 0 0.186994842890846 1 0.813005157109154
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 1 2 0 0.186994842890846 1 0.813005157109154
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 1 2 0 0.186994842890846 1 0.813005157109154
29 1 2 0 0.186994842890846 1 0.813005157109154
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 1 1 1 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 1 2 0 0.186994842890846 1 0.813005157109154
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 1 2 0 0.186994842890846 1 0.813005157109154
88 1 2 0 0.186994842890846 1 0.813005157109154
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 0 1 0 1
102 1 2 0 0.186994842890846 1 0.813005157109154
103 0 1 0 1
104 1 2 0 0.186994842890846 1 0.813005157109154
105 0 1 0 1
106 0 1 0 1
107 1 2 0 0.186994842890846 1 0.813005157109154
108 1 2 0 0.186994842890846 1 0.813005157109154
109 1 2 0 0.186994842890846 1 0.813005157109154
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 1 2 0 0.186994842890846 1 0.813005157109154
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 1 2 0 0.186994842890846 1 0.813005157109154
167 0 1 0 1
168 1 2 0 0.186994842890846 1 0.813005157109154
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 1 2 0 0.186994842890846 1 0.813005157109154
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.186994842890846 1 0.813005157109154
185 0 1 0 1
186 1 2 0 0.186994842890846 1 0.813005157109154
187 0 1 0 1
188 1 2 0 0.186994842890846 1 0.813005157109154
189 1 2 0 0.186994842890846 1 0.813005157109154
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 1 1 1 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 1 1 1 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 1 2 0 0.186994842890846 1 0.813005157109154
242 1 2 0 0.186994842890846 1 0.813005157109154
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 1 2 0 0.186994842890846 1 0.813005157109154
247 1 2 0 0.186994842890846 1 0.813005157109154
248 1 2 0 0.186994842890846 1 0.813005157109154
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 0 1 0 1
261 1 2 0 0.186994842890846 1 0.813005157109154
262 1 2 0 0.186994842890846 1 0.813005157109154
263 0 1 0 1
264 1 2 0 0.186994842890846 1 0.813005157109154
265 0 1 0 1
266 1 2 0 0.186994842890846 1 0.813005157109154
267 1 2 0 0.186994842890846 1 0.813005157109154
268 1 2 0 0.186994842890846 1 0.813005157109154
269 1 2 0 0.186994842890846 1 0.813005157109154
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
13
## name
robot-at(x21, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(53)) and($a(2) $s(53)) and($a(0) $s(53)) and($a(3) $s(53))) : $c(0)) (or(and($a(1) $s(52)) and($a(2) $s(13)) and($a(0) $s(45)) and($a(3) $s(61))) : Bernoulli($c(0.840954197399122))) ($c(1) : $s(53)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(53)) and($a(2) $s(53)) and($a(0) $s(53)) and($a(3) $s(53))) : $c(0)) (or(and($a(1) $s(52)) and($a(2) $s(13)) and($a(0) $s(45)) and($a(3) $s(61))) : $c(1)) ($c(1) : $s(53)) )
## hash index
53
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 1 2 0 0.159045802600878 1 0.840954197399122
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 1 2 0 0.159045802600878 1 0.840954197399122
25 0 1 0 1
26 0 1 0 1
27 1 2 0 0.159045802600878 1 0.840954197399122
28 0 1 0 1
29 1 2 0 0.159045802600878 1 0.840954197399122
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 1 2 0 0.159045802600878 1 0.840954197399122
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 1 2 0 0.159045802600878 1 0.840954197399122
48 1 2 0 0.159045802600878 1 0.840954197399122
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 0 1 0 1
62 0 1 0 1
63 1 2 0 0.159045802600878 1 0.840954197399122
64 1 2 0 0.159045802600878 1 0.840954197399122
65 0 1 0 1
66 0 1 0 1
67 1 2 0 0.159045802600878 1 0.840954197399122
68 1 2 0 0.159045802600878 1 0.840954197399122
69 1 2 0 0.159045802600878 1 0.840954197399122
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 1 1 1 1
81 0 1 0 1
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 1 1 1 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 1 1 1 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 1 2 0 0.159045802600878 1 0.840954197399122
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 1 2 0 0.159045802600878 1 0.840954197399122
167 1 2 0 0.159045802600878 1 0.840954197399122
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 1 2 0 0.159045802600878 1 0.840954197399122
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.159045802600878 1 0.840954197399122
185 0 1 0 1
186 1 2 0 0.159045802600878 1 0.840954197399122
187 1 2 0 0.159045802600878 1 0.840954197399122
188 0 1 0 1
189 1 2 0 0.159045802600878 1 0.840954197399122
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 1 2 0 0.159045802600878 1 0.840954197399122
202 0 1 0 1
203 1 2 0 0.159045802600878 1 0.840954197399122
204 0 1 0 1
205 0 1 0 1
206 1 2 0 0.159045802600878 1 0.840954197399122
207 1 2 0 0.159045802600878 1 0.840954197399122
208 1 2 0 0.159045802600878 1 0.840954197399122
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 0 1 0 1
221 1 2 0 0.159045802600878 1 0.840954197399122
222 0 1 0 1
223 1 2 0 0.159045802600878 1 0.840954197399122
224 1 2 0 0.159045802600878 1 0.840954197399122
225 0 1 0 1
226 1 2 0 0.159045802600878 1 0.840954197399122
227 1 2 0 0.159045802600878 1 0.840954197399122
228 1 2 0 0.159045802600878 1 0.840954197399122
229 1 2 0 0.159045802600878 1 0.840954197399122
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 1 1 1 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 1 1 1 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
14
## name
robot-at(x230, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(54)) and($a(2) $s(54)) and($a(0) $s(54)) and($a(3) $s(54))) : $c(0)) (or(and($a(1) $s(14)) and($a(2) $s(55)) and($a(0) $s(50)) and($a(3) $s(56))) : Bernoulli($c(0.317322811896079))) ($c(1) : $s(54)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(54)) and($a(2) $s(54)) and($a(0) $s(54)) and($a(3) $s(54))) : $c(0)) (or(and($a(1) $s(14)) and($a(2) $s(55)) and($a(0) $s(50)) and($a(3) $s(56))) : $c(0)) ($c(1) : $s(54)) )
## hash index
54
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 2 0 0.682677188103921 1 0.317322811896079
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.682677188103921 1 0.317322811896079
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.682677188103921 1 0.317322811896079
29 0 2 0 0.682677188103921 1 0.317322811896079
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 1 1 1 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 0 2 0 0.682677188103921 1 0.317322811896079
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.682677188103921 1 0.317322811896079
88 0 2 0 0.682677188103921 1 0.317322811896079
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 0 1 0 1
102 0 2 0 0.682677188103921 1 0.317322811896079
103 0 1 0 1
104 0 2 0 0.682677188103921 1 0.317322811896079
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.682677188103921 1 0.317322811896079
108 0 2 0 0.682677188103921 1 0.317322811896079
109 0 2 0 0.682677188103921 1 0.317322811896079
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.682677188103921 1 0.317322811896079
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.682677188103921 1 0.317322811896079
167 0 1 0 1
168 0 2 0 0.682677188103921 1 0.317322811896079
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.682677188103921 1 0.317322811896079
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.682677188103921 1 0.317322811896079
185 0 1 0 1
186 0 2 0 0.682677188103921 1 0.317322811896079
187 0 1 0 1
188 0 2 0 0.682677188103921 1 0.317322811896079
189 0 2 0 0.682677188103921 1 0.317322811896079
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 1 1 1 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 1 1 1 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 0 2 0 0.682677188103921 1 0.317322811896079
242 0 2 0 0.682677188103921 1 0.317322811896079
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.682677188103921 1 0.317322811896079
247 0 2 0 0.682677188103921 1 0.317322811896079
248 0 2 0 0.682677188103921 1 0.317322811896079
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 0 1 0 1
261 0 2 0 0.682677188103921 1 0.317322811896079
262 0 2 0 0.682677188103921 1 0.317322811896079
263 0 1 0 1
264 0 2 0 0.682677188103921 1 0.317322811896079
265 0 1 0 1
266 0 2 0 0.682677188103921 1 0.317322811896079
267 0 2 0 0.682677188103921 1 0.317322811896079
268 0 2 0 0.682677188103921 1 0.317322811896079
269 0 2 0 0.682677188103921 1 0.317322811896079
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
15
## name
robot-at(x230, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(55)) and($a(2) $s(55)) and($a(0) $s(55)) and($a(3) $s(55))) : $c(0)) (or(and($a(1) $s(54)) and($a(2) $s(15)) and($a(0) $s(51)) and($a(3) $s(57))) : Bernoulli($c(0.318784519882971))) ($c(1) : $s(55)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(55)) and($a(2) $s(55)) and($a(0) $s(55)) and($a(3) $s(55))) : $c(0)) (or(and($a(1) $s(54)) and($a(2) $s(15)) and($a(0) $s(51)) and($a(3) $s(57))) : $c(0)) ($c(1) : $s(55)) )
## hash index
55
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 2 0 0.681215480117029 1 0.318784519882971
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.681215480117029 1 0.318784519882971
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.681215480117029 1 0.318784519882971
28 0 1 0 1
29 0 2 0 0.681215480117029 1 0.318784519882971
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 0 2 0 0.681215480117029 1 0.318784519882971
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.681215480117029 1 0.318784519882971
48 0 2 0 0.681215480117029 1 0.318784519882971
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 0 1 0 1
62 0 1 0 1
63 0 2 0 0.681215480117029 1 0.318784519882971
64 0 2 0 0.681215480117029 1 0.318784519882971
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.681215480117029 1 0.318784519882971
68 0 2 0 0.681215480117029 1 0.318784519882971
69 0 2 0 0.681215480117029 1 0.318784519882971
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 1 1 1 1
81 0 1 0 1
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 1 1 1 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 1 1 1 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.681215480117029 1 0.318784519882971
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.681215480117029 1 0.318784519882971
167 0 2 0 0.681215480117029 1 0.318784519882971
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.681215480117029 1 0.318784519882971
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.681215480117029 1 0.318784519882971
185 0 1 0 1
186 0 2 0 0.681215480117029 1 0.318784519882971
187 0 2 0 0.681215480117029 1 0.318784519882971
188 0 1 0 1
189 0 2 0 0.681215480117029 1 0.318784519882971
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 0 2 0 0.681215480117029 1 0.318784519882971
202 0 1 0 1
203 0 2 0 0.681215480117029 1 0.318784519882971
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.681215480117029 1 0.318784519882971
207 0 2 0 0.681215480117029 1 0.318784519882971
208 0 2 0 0.681215480117029 1 0.318784519882971
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 0 1 0 1
221 0 2 0 0.681215480117029 1 0.318784519882971
222 0 1 0 1
223 0 2 0 0.681215480117029 1 0.318784519882971
224 0 2 0 0.681215480117029 1 0.318784519882971
225 0 1 0 1
226 0 2 0 0.681215480117029 1 0.318784519882971
227 0 2 0 0.681215480117029 1 0.318784519882971
228 0 2 0 0.681215480117029 1 0.318784519882971
229 0 2 0 0.681215480117029 1 0.318784519882971
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 1 1 1 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 1 1 1 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
16
## name
robot-at(x261, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(56)) and($a(2) $s(56)) and($a(0) $s(56)) and($a(3) $s(56))) : $c(0)) (or(and($a(1) $s(16)) and($a(2) $s(57)) and($a(0) $s(54)) and($a(3) $s(58))) : Bernoulli($c(0.25332549930011))) ($c(1) : $s(56)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(56)) and($a(2) $s(56)) and($a(0) $s(56)) and($a(3) $s(56))) : $c(0)) (or(and($a(1) $s(16)) and($a(2) $s(57)) and($a(0) $s(54)) and($a(3) $s(58))) : $c(0)) ($c(1) : $s(56)) )
## hash index
56
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 2 0 0.74667450069989 1 0.25332549930011
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.74667450069989 1 0.25332549930011
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.74667450069989 1 0.25332549930011
29 0 2 0 0.74667450069989 1 0.25332549930011
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 1 1 1 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 0 2 0 0.74667450069989 1 0.25332549930011
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.74667450069989 1 0.25332549930011
88 0 2 0 0.74667450069989 1 0.25332549930011
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 0 1 0 1
102 0 2 0 0.74667450069989 1 0.25332549930011
103 0 1 0 1
104 0 2 0 0.74667450069989 1 0.25332549930011
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.74667450069989 1 0.25332549930011
108 0 2 0 0.74667450069989 1 0.25332549930011
109 0 2 0 0.74667450069989 1 0.25332549930011
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.74667450069989 1 0.25332549930011
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.74667450069989 1 0.25332549930011
167 0 1 0 1
168 0 2 0 0.74667450069989 1 0.25332549930011
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.74667450069989 1 0.25332549930011
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.74667450069989 1 0.25332549930011
185 0 1 0 1
186 0 2 0 0.74667450069989 1 0.25332549930011
187 0 1 0 1
188 0 2 0 0.74667450069989 1 0.25332549930011
189 0 2 0 0.74667450069989 1 0.25332549930011
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 1 1 1 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 1 1 1 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 0 2 0 0.74667450069989 1 0.25332549930011
242 0 2 0 0.74667450069989 1 0.25332549930011
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.74667450069989 1 0.25332549930011
247 0 2 0 0.74667450069989 1 0.25332549930011
248 0 2 0 0.74667450069989 1 0.25332549930011
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 0 1 0 1
261 0 2 0 0.74667450069989 1 0.25332549930011
262 0 2 0 0.74667450069989 1 0.25332549930011
263 0 1 0 1
264 0 2 0 0.74667450069989 1 0.25332549930011
265 0 1 0 1
266 0 2 0 0.74667450069989 1 0.25332549930011
267 0 2 0 0.74667450069989 1 0.25332549930011
268 0 2 0 0.74667450069989 1 0.25332549930011
269 0 2 0 0.74667450069989 1 0.25332549930011
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
17
## name
robot-at(x261, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(57)) and($a(2) $s(57)) and($a(0) $s(57)) and($a(3) $s(57))) : $c(0)) (or(and($a(1) $s(56)) and($a(2) $s(17)) and($a(0) $s(55)) and($a(3) $s(59))) : Bernoulli($c(0.276234672576385))) ($c(1) : $s(57)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(57)) and($a(2) $s(57)) and($a(0) $s(57)) and($a(3) $s(57))) : $c(0)) (or(and($a(1) $s(56)) and($a(2) $s(17)) and($a(0) $s(55)) and($a(3) $s(59))) : $c(0)) ($c(1) : $s(57)) )
## hash index
57
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 2 0 0.723765327423615 1 0.276234672576385
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.723765327423615 1 0.276234672576385
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.723765327423615 1 0.276234672576385
28 0 1 0 1
29 0 2 0 0.723765327423615 1 0.276234672576385
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 0 2 0 0.723765327423615 1 0.276234672576385
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.723765327423615 1 0.276234672576385
48 0 2 0 0.723765327423615 1 0.276234672576385
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 0 1 0 1
62 0 1 0 1
63 0 2 0 0.723765327423615 1 0.276234672576385
64 0 2 0 0.723765327423615 1 0.276234672576385
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.723765327423615 1 0.276234672576385
68 0 2 0 0.723765327423615 1 0.276234672576385
69 0 2 0 0.723765327423615 1 0.276234672576385
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 1 1 1 1
81 0 1 0 1
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 1 1 1 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 1 1 1 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.723765327423615 1 0.276234672576385
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.723765327423615 1 0.276234672576385
167 0 2 0 0.723765327423615 1 0.276234672576385
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.723765327423615 1 0.276234672576385
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.723765327423615 1 0.276234672576385
185 0 1 0 1
186 0 2 0 0.723765327423615 1 0.276234672576385
187 0 2 0 0.723765327423615 1 0.276234672576385
188 0 1 0 1
189 0 2 0 0.723765327423615 1 0.276234672576385
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 0 2 0 0.723765327423615 1 0.276234672576385
202 0 1 0 1
203 0 2 0 0.723765327423615 1 0.276234672576385
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.723765327423615 1 0.276234672576385
207 0 2 0 0.723765327423615 1 0.276234672576385
208 0 2 0 0.723765327423615 1 0.276234672576385
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 0 1 0 1
221 0 2 0 0.723765327423615 1 0.276234672576385
222 0 1 0 1
223 0 2 0 0.723765327423615 1 0.276234672576385
224 0 2 0 0.723765327423615 1 0.276234672576385
225 0 1 0 1
226 0 2 0 0.723765327423615 1 0.276234672576385
227 0 2 0 0.723765327423615 1 0.276234672576385
228 0 2 0 0.723765327423615 1 0.276234672576385
229 0 2 0 0.723765327423615 1 0.276234672576385
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 1 1 1 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 1 1 1 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
18
## name
robot-at(x294, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(58)) and($a(2) $s(58)) and($a(0) $s(58)) and($a(3) $s(58))) : $c(0)) (or(and($a(1) $s(18)) and($a(2) $s(59)) and($a(0) $s(56)) and($a(3) $s(62))) : Bernoulli($c(0.206229059417781))) ($c(1) : $s(58)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(58)) and($a(2) $s(58)) and($a(0) $s(58)) and($a(3) $s(58))) : $c(0)) (or(and($a(1) $s(18)) and($a(2) $s(59)) and($a(0) $s(56)) and($a(3) $s(62))) : $c(0)) ($c(1) : $s(58)) )
## hash index
58
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 2 0 0.793770940582219 1 0.206229059417781
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.793770940582219 1 0.206229059417781
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.793770940582219 1 0.206229059417781
29 0 2 0 0.793770940582219 1 0.206229059417781
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 1 1 1 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 0 2 0 0.793770940582219 1 0.206229059417781
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.793770940582219 1 0.206229059417781
88 0 2 0 0.793770940582219 1 0.206229059417781
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 0 1 0 1
102 0 2 0 0.793770940582219 1 0.206229059417781
103 0 1 0 1
104 0 2 0 0.793770940582219 1 0.206229059417781
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.793770940582219 1 0.206229059417781
108 0 2 0 0.793770940582219 1 0.206229059417781
109 0 2 0 0.793770940582219 1 0.206229059417781
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.793770940582219 1 0.206229059417781
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.793770940582219 1 0.206229059417781
167 0 1 0 1
168 0 2 0 0.793770940582219 1 0.206229059417781
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.793770940582219 1 0.206229059417781
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.793770940582219 1 0.206229059417781
185 0 1 0 1
186 0 2 0 0.793770940582219 1 0.206229059417781
187 0 1 0 1
188 0 2 0 0.793770940582219 1 0.206229059417781
189 0 2 0 0.793770940582219 1 0.206229059417781
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 1 1 1 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 1 1 1 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 0 2 0 0.793770940582219 1 0.206229059417781
242 0 2 0 0.793770940582219 1 0.206229059417781
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.793770940582219 1 0.206229059417781
247 0 2 0 0.793770940582219 1 0.206229059417781
248 0 2 0 0.793770940582219 1 0.206229059417781
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 0 1 0 1
261 0 2 0 0.793770940582219 1 0.206229059417781
262 0 2 0 0.793770940582219 1 0.206229059417781
263 0 1 0 1
264 0 2 0 0.793770940582219 1 0.206229059417781
265 0 1 0 1
266 0 2 0 0.793770940582219 1 0.206229059417781
267 0 2 0 0.793770940582219 1 0.206229059417781
268 0 2 0 0.793770940582219 1 0.206229059417781
269 0 2 0 0.793770940582219 1 0.206229059417781
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
19
## name
robot-at(x294, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(59)) and($a(2) $s(59)) and($a(0) $s(59)) and($a(3) $s(59))) : $c(0)) (or(and($a(1) $s(58)) and($a(2) $s(19)) and($a(0) $s(57)) and($a(3) $s(63))) : Bernoulli($c(0.182525398601827))) ($c(1) : $s(59)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(59)) and($a(2) $s(59)) and($a(0) $s(59)) and($a(3) $s(59))) : $c(0)) (or(and($a(1) $s(58)) and($a(2) $s(19)) and($a(0) $s(57)) and($a(3) $s(63))) : $c(0)) ($c(1) : $s(59)) )
## hash index
59
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 2 0 0.817474601398173 1 0.182525398601827
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.817474601398173 1 0.182525398601827
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.817474601398173 1 0.182525398601827
28 0 1 0 1
29 0 2 0 0.817474601398173 1 0.182525398601827
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 0 2 0 0.817474601398173 1 0.182525398601827
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.817474601398173 1 0.182525398601827
48 0 2 0 0.817474601398173 1 0.182525398601827
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 0 1 0 1
62 0 1 0 1
63 0 2 0 0.817474601398173 1 0.182525398601827
64 0 2 0 0.817474601398173 1 0.182525398601827
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.817474601398173 1 0.182525398601827
68 0 2 0 0.817474601398173 1 0.182525398601827
69 0 2 0 0.817474601398173 1 0.182525398601827
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 1 1 1 1
81 0 1 0 1
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 1 1 1 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 1 1 1 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.817474601398173 1 0.182525398601827
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.817474601398173 1 0.182525398601827
167 0 2 0 0.817474601398173 1 0.182525398601827
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.817474601398173 1 0.182525398601827
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.817474601398173 1 0.182525398601827
185 0 1 0 1
186 0 2 0 0.817474601398173 1 0.182525398601827
187 0 2 0 0.817474601398173 1 0.182525398601827
188 0 1 0 1
189 0 2 0 0.817474601398173 1 0.182525398601827
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 0 2 0 0.817474601398173 1 0.182525398601827
202 0 1 0 1
203 0 2 0 0.817474601398173 1 0.182525398601827
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.817474601398173 1 0.182525398601827
207 0 2 0 0.817474601398173 1 0.182525398601827
208 0 2 0 0.817474601398173 1 0.182525398601827
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 0 1 0 1
221 0 2 0 0.817474601398173 1 0.182525398601827
222 0 1 0 1
223 0 2 0 0.817474601398173 1 0.182525398601827
224 0 2 0 0.817474601398173 1 0.182525398601827
225 0 1 0 1
226 0 2 0 0.817474601398173 1 0.182525398601827
227 0 2 0 0.817474601398173 1 0.182525398601827
228 0 2 0 0.817474601398173 1 0.182525398601827
229 0 2 0 0.817474601398173 1 0.182525398601827
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 1 1 1 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 1 1 1 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
20
## name
robot-at(x30, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(60)) and($a(2) $s(60)) and($a(0) $s(60)) and($a(3) $s(60))) : $c(0)) (or(and($a(1) $s(20)) and($a(2) $s(61)) and($a(0) $s(52)) and($a(3) $s(68))) : Bernoulli($c(0.792114344523533))) ($c(1) : $s(60)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(60)) and($a(2) $s(60)) and($a(0) $s(60)) and($a(3) $s(60))) : $c(0)) (or(and($a(1) $s(20)) and($a(2) $s(61)) and($a(0) $s(52)) and($a(3) $s(68))) : $c(1)) ($c(1) : $s(60)) )
## hash index
60
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 1 2 0 0.207885655476467 1 0.792114344523533
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 1 2 0 0.207885655476467 1 0.792114344523533
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 1 2 0 0.207885655476467 1 0.792114344523533
29 1 2 0 0.207885655476467 1 0.792114344523533
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 1 1 1 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 1 2 0 0.207885655476467 1 0.792114344523533
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 1 2 0 0.207885655476467 1 0.792114344523533
88 1 2 0 0.207885655476467 1 0.792114344523533
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 0 1 0 1
102 1 2 0 0.207885655476467 1 0.792114344523533
103 0 1 0 1
104 1 2 0 0.207885655476467 1 0.792114344523533
105 0 1 0 1
106 0 1 0 1
107 1 2 0 0.207885655476467 1 0.792114344523533
108 1 2 0 0.207885655476467 1 0.792114344523533
109 1 2 0 0.207885655476467 1 0.792114344523533
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 1 2 0 0.207885655476467 1 0.792114344523533
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 1 2 0 0.207885655476467 1 0.792114344523533
167 0 1 0 1
168 1 2 0 0.207885655476467 1 0.792114344523533
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 1 2 0 0.207885655476467 1 0.792114344523533
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.207885655476467 1 0.792114344523533
185 0 1 0 1
186 1 2 0 0.207885655476467 1 0.792114344523533
187 0 1 0 1
188 1 2 0 0.207885655476467 1 0.792114344523533
189 1 2 0 0.207885655476467 1 0.792114344523533
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 1 1 1 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 1 1 1 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 1 2 0 0.207885655476467 1 0.792114344523533
242 1 2 0 0.207885655476467 1 0.792114344523533
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 1 2 0 0.207885655476467 1 0.792114344523533
247 1 2 0 0.207885655476467 1 0.792114344523533
248 1 2 0 0.207885655476467 1 0.792114344523533
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 0 1 0 1
261 1 2 0 0.207885655476467 1 0.792114344523533
262 1 2 0 0.207885655476467 1 0.792114344523533
263 0 1 0 1
264 1 2 0 0.207885655476467 1 0.792114344523533
265 0 1 0 1
266 1 2 0 0.207885655476467 1 0.792114344523533
267 1 2 0 0.207885655476467 1 0.792114344523533
268 1 2 0 0.207885655476467 1 0.792114344523533
269 1 2 0 0.207885655476467 1 0.792114344523533
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
21
## name
robot-at(x30, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(61)) and($a(2) $s(61)) and($a(0) $s(61)) and($a(3) $s(61))) : $c(0)) (or(and($a(1) $s(60)) and($a(2) $s(21)) and($a(0) $s(53)) and($a(3) $s(69))) : Bernoulli($c(0.779337020688935))) ($c(1) : $s(61)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(61)) and($a(2) $s(61)) and($a(0) $s(61)) and($a(3) $s(61))) : $c(0)) (or(and($a(1) $s(60)) and($a(2) $s(21)) and($a(0) $s(53)) and($a(3) $s(69))) : $c(1)) ($c(1) : $s(61)) )
## hash index
61
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 1 2 0 0.220662979311065 1 0.779337020688935
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 1 2 0 0.220662979311065 1 0.779337020688935
25 0 1 0 1
26 0 1 0 1
27 1 2 0 0.220662979311065 1 0.779337020688935
28 0 1 0 1
29 1 2 0 0.220662979311065 1 0.779337020688935
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 1 2 0 0.220662979311065 1 0.779337020688935
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 1 2 0 0.220662979311065 1 0.779337020688935
48 1 2 0 0.220662979311065 1 0.779337020688935
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 0 1 0 1
62 0 1 0 1
63 1 2 0 0.220662979311065 1 0.779337020688935
64 1 2 0 0.220662979311065 1 0.779337020688935
65 0 1 0 1
66 0 1 0 1
67 1 2 0 0.220662979311065 1 0.779337020688935
68 1 2 0 0.220662979311065 1 0.779337020688935
69 1 2 0 0.220662979311065 1 0.779337020688935
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 1 1 1 1
81 0 1 0 1
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 1 1 1 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 1 1 1 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 1 2 0 0.220662979311065 1 0.779337020688935
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 1 2 0 0.220662979311065 1 0.779337020688935
167 1 2 0 0.220662979311065 1 0.779337020688935
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 1 2 0 0.220662979311065 1 0.779337020688935
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.220662979311065 1 0.779337020688935
185 0 1 0 1
186 1 2 0 0.220662979311065 1 0.779337020688935
187 1 2 0 0.220662979311065 1 0.779337020688935
188 0 1 0 1
189 1 2 0 0.220662979311065 1 0.779337020688935
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 1 2 0 0.220662979311065 1 0.779337020688935
202 0 1 0 1
203 1 2 0 0.220662979311065 1 0.779337020688935
204 0 1 0 1
205 0 1 0 1
206 1 2 0 0.220662979311065 1 0.779337020688935
207 1 2 0 0.220662979311065 1 0.779337020688935
208 1 2 0 0.220662979311065 1 0.779337020688935
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 0 1 0 1
221 1 2 0 0.220662979311065 1 0.779337020688935
222 0 1 0 1
223 1 2 0 0.220662979311065 1 0.779337020688935
224 1 2 0 0.220662979311065 1 0.779337020688935
225 0 1 0 1
226 1 2 0 0.220662979311065 1 0.779337020688935
227 1 2 0 0.220662979311065 1 0.779337020688935
228 1 2 0 0.220662979311065 1 0.779337020688935
229 1 2 0 0.220662979311065 1 0.779337020688935
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 1 1 1 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 1 1 1 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
22
## name
robot-at(x329, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(62)) and($a(2) $s(62)) and($a(0) $s(62)) and($a(3) $s(62))) : $c(0)) (or(and($a(1) $s(22)) and($a(2) $s(63)) and($a(0) $s(58)) and($a(3) $s(64))) : Bernoulli($c(0.176201005613333))) ($c(1) : $s(62)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(62)) and($a(2) $s(62)) and($a(0) $s(62)) and($a(3) $s(62))) : $c(0)) (or(and($a(1) $s(22)) and($a(2) $s(63)) and($a(0) $s(58)) and($a(3) $s(64))) : $c(0)) ($c(1) : $s(62)) )
## hash index
62
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 2 0 0.823798994386667 1 0.176201005613333
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.823798994386667 1 0.176201005613333
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.823798994386667 1 0.176201005613333
29 0 2 0 0.823798994386667 1 0.176201005613333
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 1 1 1 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 0 2 0 0.823798994386667 1 0.176201005613333
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.823798994386667 1 0.176201005613333
88 0 2 0 0.823798994386667 1 0.176201005613333
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 0 1 0 1
102 0 2 0 0.823798994386667 1 0.176201005613333
103 0 1 0 1
104 0 2 0 0.823798994386667 1 0.176201005613333
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.823798994386667 1 0.176201005613333
108 0 2 0 0.823798994386667 1 0.176201005613333
109 0 2 0 0.823798994386667 1 0.176201005613333
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.823798994386667 1 0.176201005613333
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.823798994386667 1 0.176201005613333
167 0 1 0 1
168 0 2 0 0.823798994386667 1 0.176201005613333
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.823798994386667 1 0.176201005613333
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.823798994386667 1 0.176201005613333
185 0 1 0 1
186 0 2 0 0.823798994386667 1 0.176201005613333
187 0 1 0 1
188 0 2 0 0.823798994386667 1 0.176201005613333
189 0 2 0 0.823798994386667 1 0.176201005613333
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 1 1 1 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 1 1 1 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 0 2 0 0.823798994386667 1 0.176201005613333
242 0 2 0 0.823798994386667 1 0.176201005613333
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.823798994386667 1 0.176201005613333
247 0 2 0 0.823798994386667 1 0.176201005613333
248 0 2 0 0.823798994386667 1 0.176201005613333
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 0 1 0 1
261 0 2 0 0.823798994386667 1 0.176201005613333
262 0 2 0 0.823798994386667 1 0.176201005613333
263 0 1 0 1
264 0 2 0 0.823798994386667 1 0.176201005613333
265 0 1 0 1
266 0 2 0 0.823798994386667 1 0.176201005613333
267 0 2 0 0.823798994386667 1 0.176201005613333
268 0 2 0 0.823798994386667 1 0.176201005613333
269 0 2 0 0.823798994386667 1 0.176201005613333
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
23
## name
robot-at(x329, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(63)) and($a(2) $s(63)) and($a(0) $s(63)) and($a(3) $s(63))) : $c(0)) (or(and($a(1) $s(62)) and($a(2) $s(23)) and($a(0) $s(59)) and($a(3) $s(65))) : Bernoulli($c(0.154408118834621))) ($c(1) : $s(63)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(63)) and($a(2) $s(63)) and($a(0) $s(63)) and($a(3) $s(63))) : $c(0)) (or(and($a(1) $s(62)) and($a(2) $s(23)) and($a(0) $s(59)) and($a(3) $s(65))) : $c(0)) ($c(1) : $s(63)) )
## hash index
63
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 2 0 0.845591881165379 1 0.154408118834621
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.845591881165379 1 0.154408118834621
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.845591881165379 1 0.154408118834621
28 0 1 0 1
29 0 2 0 0.845591881165379 1 0.154408118834621
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 0 2 0 0.845591881165379 1 0.154408118834621
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.845591881165379 1 0.154408118834621
48 0 2 0 0.845591881165379 1 0.154408118834621
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 0 1 0 1
62 0 1 0 1
63 0 2 0 0.845591881165379 1 0.154408118834621
64 0 2 0 0.845591881165379 1 0.154408118834621
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.845591881165379 1 0.154408118834621
68 0 2 0 0.845591881165379 1 0.154408118834621
69 0 2 0 0.845591881165379 1 0.154408118834621
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 1 1 1 1
81 0 1 0 1
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 1 1 1 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 1 1 1 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.845591881165379 1 0.154408118834621
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.845591881165379 1 0.154408118834621
167 0 2 0 0.845591881165379 1 0.154408118834621
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.845591881165379 1 0.154408118834621
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.845591881165379 1 0.154408118834621
185 0 1 0 1
186 0 2 0 0.845591881165379 1 0.154408118834621
187 0 2 0 0.845591881165379 1 0.154408118834621
188 0 1 0 1
189 0 2 0 0.845591881165379 1 0.154408118834621
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 0 2 0 0.845591881165379 1 0.154408118834621
202 0 1 0 1
203 0 2 0 0.845591881165379 1 0.154408118834621
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.845591881165379 1 0.154408118834621
207 0 2 0 0.845591881165379 1 0.154408118834621
208 0 2 0 0.845591881165379 1 0.154408118834621
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 0 1 0 1
221 0 2 0 0.845591881165379 1 0.154408118834621
222 0 1 0 1
223 0 2 0 0.845591881165379 1 0.154408118834621
224 0 2 0 0.845591881165379 1 0.154408118834621
225 0 1 0 1
226 0 2 0 0.845591881165379 1 0.154408118834621
227 0 2 0 0.845591881165379 1 0.154408118834621
228 0 2 0 0.845591881165379 1 0.154408118834621
229 0 2 0 0.845591881165379 1 0.154408118834621
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 1 1 1 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 1 1 1 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
24
## name
robot-at(x366, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(64)) and($a(2) $s(64)) and($a(0) $s(64)) and($a(3) $s(64))) : $c(0)) (or(and($a(1) $s(24)) and($a(2) $s(65)) and($a(0) $s(62)) and($a(3) $s(66))) : Bernoulli($c(0.0878532937678852))) ($c(1) : $s(64)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(64)) and($a(2) $s(64)) and($a(0) $s(64)) and($a(3) $s(64))) : $c(0)) (or(and($a(1) $s(24)) and($a(2) $s(65)) and($a(0) $s(62)) and($a(3) $s(66))) : $c(0)) ($c(1) : $s(64)) )
## hash index
64
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 2 0 0.912146706232115 1 0.0878532937678852
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.912146706232115 1 0.0878532937678852
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.912146706232115 1 0.0878532937678852
29 0 2 0 0.912146706232115 1 0.0878532937678852
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 1 1 1 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 0 2 0 0.912146706232115 1 0.0878532937678852
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.912146706232115 1 0.0878532937678852
88 0 2 0 0.912146706232115 1 0.0878532937678852
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 0 1 0 1
102 0 2 0 0.912146706232115 1 0.0878532937678852
103 0 1 0 1
104 0 2 0 0.912146706232115 1 0.0878532937678852
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.912146706232115 1 0.0878532937678852
108 0 2 0 0.912146706232115 1 0.0878532937678852
109 0 2 0 0.912146706232115 1 0.0878532937678852
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.912146706232115 1 0.0878532937678852
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.912146706232115 1 0.0878532937678852
167 0 1 0 1
168 0 2 0 0.912146706232115 1 0.0878532937678852
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.912146706232115 1 0.0878532937678852
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.912146706232115 1 0.0878532937678852
185 0 1 0 1
186 0 2 0 0.912146706232115 1 0.0878532937678852
187 0 1 0 1
188 0 2 0 0.912146706232115 1 0.0878532937678852
189 0 2 0 0.912146706232115 1 0.0878532937678852
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 1 1 1 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 1 1 1 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 0 2 0 0.912146706232115 1 0.0878532937678852
242 0 2 0 0.912146706232115 1 0.0878532937678852
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.912146706232115 1 0.0878532937678852
247 0 2 0 0.912146706232115 1 0.0878532937678852
248 0 2 0 0.912146706232115 1 0.0878532937678852
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 0 1 0 1
261 0 2 0 0.912146706232115 1 0.0878532937678852
262 0 2 0 0.912146706232115 1 0.0878532937678852
263 0 1 0 1
264 0 2 0 0.912146706232115 1 0.0878532937678852
265 0 1 0 1
266 0 2 0 0.912146706232115 1 0.0878532937678852
267 0 2 0 0.912146706232115 1 0.0878532937678852
268 0 2 0 0.912146706232115 1 0.0878532937678852
269 0 2 0 0.912146706232115 1 0.0878532937678852
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
25
## name
robot-at(x366, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(65)) and($a(2) $s(65)) and($a(0) $s(65)) and($a(3) $s(65))) : $c(0)) (or(and($a(1) $s(64)) and($a(2) $s(25)) and($a(0) $s(63)) and($a(3) $s(67))) : Bernoulli($c(0.109894012934283))) ($c(1) : $s(65)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(65)) and($a(2) $s(65)) and($a(0) $s(65)) and($a(3) $s(65))) : $c(0)) (or(and($a(1) $s(64)) and($a(2) $s(25)) and($a(0) $s(63)) and($a(3) $s(67))) : $c(0)) ($c(1) : $s(65)) )
## hash index
65
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 2 0 0.890105987065717 1 0.109894012934283
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.890105987065717 1 0.109894012934283
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.890105987065717 1 0.109894012934283
28 0 1 0 1
29 0 2 0 0.890105987065717 1 0.109894012934283
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 0 2 0 0.890105987065717 1 0.109894012934283
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.890105987065717 1 0.109894012934283
48 0 2 0 0.890105987065717 1 0.109894012934283
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 0 1 0 1
62 0 1 0 1
63 0 2 0 0.890105987065717 1 0.109894012934283
64 0 2 0 0.890105987065717 1 0.109894012934283
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.890105987065717 1 0.109894012934283
68 0 2 0 0.890105987065717 1 0.109894012934283
69 0 2 0 0.890105987065717 1 0.109894012934283
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 1 1 1 1
81 0 1 0 1
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 1 1 1 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 1 1 1 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 2 0 0.890105987065717 1 0.109894012934283
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.890105987065717 1 0.109894012934283
167 0 2 0 0.890105987065717 1 0.109894012934283
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 0 2 0 0.890105987065717 1 0.109894012934283
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.890105987065717 1 0.109894012934283
185 0 1 0 1
186 0 2 0 0.890105987065717 1 0.109894012934283
187 0 2 0 0.890105987065717 1 0.109894012934283
188 0 1 0 1
189 0 2 0 0.890105987065717 1 0.109894012934283
190 0 1 0 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 0 2 0 0.890105987065717 1 0.109894012934283
202 0 1 0 1
203 0 2 0 0.890105987065717 1 0.109894012934283
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.890105987065717 1 0.109894012934283
207 0 2 0 0.890105987065717 1 0.109894012934283
208 0 2 0 0.890105987065717 1 0.109894012934283
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 0 1 0 1
221 0 2 0 0.890105987065717 1 0.109894012934283
222 0 1 0 1
223 0 2 0 0.890105987065717 1 0.109894012934283
224 0 2 0 0.890105987065717 1 0.109894012934283
225 0 1 0 1
226 0 2 0 0.890105987065717 1 0.109894012934283
227 0 2 0 0.890105987065717 1 0.109894012934283
228 0 2 0 0.890105987065717 1 0.109894012934283
229 0 2 0 0.890105987065717 1 0.109894012934283
230 0 1 0 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 1 1 1 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 0 1 0 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 1 1 1 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 0 1 0 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 1 1 1 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 0 1 0 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 1 1 1 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 0 1 0 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
26
## name
robot-at(x405, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(66)) and($a(2) $s(66)) and($a(3) $s(66))) : $c(0)) (or(and($a(1) $s(26)) and($a(2) $s(67)) and($a(0) $s(64))) : Bernoulli($c(0.0534960952048239))) ($c(1) : $s(66)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(66)) and($a(2) $s(66)) and($a(3) $s(66))) : $c(0)) (or(and($a(1) $s(26)) and($a(2) $s(67)) and($a(0) $s(64))) : $c(0)) ($c(1) : $s(66)) )
## hash index
66
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
160
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 2 0 0.946503904795176 1 0.0534960952048239
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 0 2 0 0.946503904795176 1 0.0534960952048239
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.946503904795176 1 0.0534960952048239
29 0 2 0 0.946503904795176 1 0.0534960952048239
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 1 1 1 1
45 1 1 1 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 1 1 1 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 2 0 0.946503904795176 1 0.0534960952048239
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 2 0 0.946503904795176 1 0.0534960952048239
70 0 1 0 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 0 2 0 0.946503904795176 1 0.0534960952048239
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.946503904795176 1 0.0534960952048239
88 0 2 0 0.946503904795176 1 0.0534960952048239
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 0 1 0 1
102 0 2 0 0.946503904795176 1 0.0534960952048239
103 0 1 0 1
104 0 2 0 0.946503904795176 1 0.0534960952048239
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.946503904795176 1 0.0534960952048239
108 0 2 0 0.946503904795176 1 0.0534960952048239
109 0 2 0 0.946503904795176 1 0.0534960952048239
110 0 1 0 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 1 1 1 1
125 1 1 1 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 1 1 1 1
130 0 1 0 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 2 0 0.946503904795176 1 0.0534960952048239
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 2 0 0.946503904795176 1 0.0534960952048239
150 0 1 0 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
27
## name
robot-at(x405, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(67)) and($a(2) $s(67)) and($a(3) $s(67))) : $c(0)) (or(and($a(1) $s(66)) and($a(2) $s(27)) and($a(0) $s(65))) : Bernoulli($c(0.0432620074992117))) ($c(1) : $s(67)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(67)) and($a(2) $s(67)) and($a(3) $s(67))) : $c(0)) (or(and($a(1) $s(66)) and($a(2) $s(27)) and($a(0) $s(65))) : $c(0)) ($c(1) : $s(67)) )
## hash index
67
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
80
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 0 1 0 1
14 0 2 0 0.956737992500788 1 0.0432620074992117
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 2 0 0.956737992500788 1 0.0432620074992117
24 0 1 0 1
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 1 0 1
29 0 1 0 1
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 0 2 0 0.956737992500788 1 0.0432620074992117
34 0 2 0 0.956737992500788 1 0.0432620074992117
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 1 1 1 1
45 0 1 0 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 1 1 1 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 2 0 0.956737992500788 1 0.0432620074992117
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 1 1 1 1
65 0 1 0 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 1 1 1 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 2 0 0.956737992500788 1 0.0432620074992117
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
405
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
28
## name
robot-at(x41, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(68)) and($a(2) $s(68)) and($a(0) $s(68)) and($a(3) $s(68))) : $c(0)) (or(and($a(1) $s(28)) and($a(2) $s(69)) and($a(0) $s(60)) and($a(3) $s(70))) : Bernoulli($c(0.714750021598057))) ($c(1) : $s(68)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(68)) and($a(2) $s(68)) and($a(0) $s(68)) and($a(3) $s(68))) : $c(0)) (or(and($a(1) $s(28)) and($a(2) $s(69)) and($a(0) $s(60)) and($a(3) $s(70))) : $c(1)) ($c(1) : $s(68)) )
## hash index
68
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 1 2 0 0.285249978401943 1 0.714750021598057
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 1 2 0 0.285249978401943 1 0.714750021598057
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 1 0 1
29 0 1 0 1
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 1 2 0 0.285249978401943 1 0.714750021598057
34 1 2 0 0.285249978401943 1 0.714750021598057
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 1 1 1 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 0 1 0 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 1 1 1 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 1 2 0 0.285249978401943 1 0.714750021598057
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 1 2 0 0.285249978401943 1 0.714750021598057
93 1 2 0 0.285249978401943 1 0.714750021598057
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 0 1 0 1
102 1 2 0 0.285249978401943 1 0.714750021598057
103 0 1 0 1
104 1 2 0 0.285249978401943 1 0.714750021598057
105 0 1 0 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 1 2 0 0.285249978401943 1 0.714750021598057
113 1 2 0 0.285249978401943 1 0.714750021598057
114 1 2 0 0.285249978401943 1 0.714750021598057
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 0 1 0 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 1 1 1 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 0 1 0 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 1 1 1 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 1 2 0 0.285249978401943 1 0.714750021598057
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 1 0 1
167 0 1 0 1
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 1 2 0 0.285249978401943 1 0.714750021598057
172 0 1 0 1
173 1 2 0 0.285249978401943 1 0.714750021598057
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 1 2 0 0.285249978401943 1 0.714750021598057
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.285249978401943 1 0.714750021598057
185 0 1 0 1
186 0 1 0 1
187 0 1 0 1
188 0 1 0 1
189 0 1 0 1
190 0 1 0 1
191 1 2 0 0.285249978401943 1 0.714750021598057
192 0 1 0 1
193 1 2 0 0.285249978401943 1 0.714750021598057
194 1 2 0 0.285249978401943 1 0.714750021598057
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 0 1 0 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 1 1 1 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 0 1 0 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 1 1 1 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 1 2 0 0.285249978401943 1 0.714750021598057
242 1 2 0 0.285249978401943 1 0.714750021598057
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 0 1 0 1
251 1 2 0 0.285249978401943 1 0.714750021598057
252 1 2 0 0.285249978401943 1 0.714750021598057
253 1 2 0 0.285249978401943 1 0.714750021598057
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 0 1 0 1
261 1 2 0 0.285249978401943 1 0.714750021598057
262 1 2 0 0.285249978401943 1 0.714750021598057
263 0 1 0 1
264 1 2 0 0.285249978401943 1 0.714750021598057
265 0 1 0 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 0 1 0 1
271 1 2 0 0.285249978401943 1 0.714750021598057
272 1 2 0 0.285249978401943 1 0.714750021598057
273 1 2 0 0.285249978401943 1 0.714750021598057
274 1 2 0 0.285249978401943 1 0.714750021598057
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 0 1 0 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 1 1 1 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 0 1 0 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 1 1 1 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
29
## name
robot-at(x41, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(69)) and($a(2) $s(69)) and($a(0) $s(69)) and($a(3) $s(69))) : $c(0)) (or(and($a(1) $s(68)) and($a(2) $s(29)) and($a(0) $s(61)) and($a(3) $s(71))) : Bernoulli($c(0.751383479586557))) ($c(1) : $s(69)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(69)) and($a(2) $s(69)) and($a(0) $s(69)) and($a(3) $s(69))) : $c(0)) (or(and($a(1) $s(68)) and($a(2) $s(29)) and($a(0) $s(61)) and($a(3) $s(71))) : $c(1)) ($c(1) : $s(69)) )
## hash index
69
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 1 2 0 0.248616520413443 1 0.751383479586557
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 1 2 0 0.248616520413443 1 0.751383479586557
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 1 0 1
29 0 1 0 1
30 0 1 0 1
31 0 1 0 1
32 1 2 0 0.248616520413443 1 0.751383479586557
33 0 1 0 1
34 1 2 0 0.248616520413443 1 0.751383479586557
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 1 2 0 0.248616520413443 1 0.751383479586557
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 1 2 0 0.248616520413443 1 0.751383479586557
53 1 2 0 0.248616520413443 1 0.751383479586557
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 0 1 0 1
62 0 1 0 1
63 1 2 0 0.248616520413443 1 0.751383479586557
64 1 2 0 0.248616520413443 1 0.751383479586557
65 0 1 0 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 1 2 0 0.248616520413443 1 0.751383479586557
73 1 2 0 0.248616520413443 1 0.751383479586557
74 1 2 0 0.248616520413443 1 0.751383479586557
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 1 1 1 1
81 0 1 0 1
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 1 1 1 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 0 1 0 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 1 1 1 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 0 1 0 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 1 1 1 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 0 1 0 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 1 1 1 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 1 2 0 0.248616520413443 1 0.751383479586557
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 1 0 1
167 0 1 0 1
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 1 2 0 0.248616520413443 1 0.751383479586557
172 1 2 0 0.248616520413443 1 0.751383479586557
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 1 2 0 0.248616520413443 1 0.751383479586557
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.248616520413443 1 0.751383479586557
185 0 1 0 1
186 0 1 0 1
187 0 1 0 1
188 0 1 0 1
189 0 1 0 1
190 0 1 0 1
191 1 2 0 0.248616520413443 1 0.751383479586557
192 1 2 0 0.248616520413443 1 0.751383479586557
193 0 1 0 1
194 1 2 0 0.248616520413443 1 0.751383479586557
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 1 2 0 0.248616520413443 1 0.751383479586557
202 0 1 0 1
203 1 2 0 0.248616520413443 1 0.751383479586557
204 0 1 0 1
205 0 1 0 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 1 2 0 0.248616520413443 1 0.751383479586557
212 1 2 0 0.248616520413443 1 0.751383479586557
213 1 2 0 0.248616520413443 1 0.751383479586557
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 0 1 0 1
221 1 2 0 0.248616520413443 1 0.751383479586557
222 0 1 0 1
223 1 2 0 0.248616520413443 1 0.751383479586557
224 1 2 0 0.248616520413443 1 0.751383479586557
225 0 1 0 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 1 2 0 0.248616520413443 1 0.751383479586557
232 1 2 0 0.248616520413443 1 0.751383479586557
233 1 2 0 0.248616520413443 1 0.751383479586557
234 1 2 0 0.248616520413443 1 0.751383479586557
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 1 1 1 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 0 1 0 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 1 1 1 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 0 1 0 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 1 1 1 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 0 1 0 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 1 1 1 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
30
## name
robot-at(x54, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(70)) and($a(2) $s(70)) and($a(0) $s(70)) and($a(3) $s(70))) : $c(0)) (or(and($a(1) $s(30)) and($a(2) $s(71)) and($a(0) $s(68)) and($a(3) $s(74))) : Bernoulli($c(0.690702217287923))) ($c(1) : $s(70)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(70)) and($a(2) $s(70)) and($a(0) $s(70)) and($a(3) $s(70))) : $c(0)) (or(and($a(1) $s(30)) and($a(2) $s(71)) and($a(0) $s(68)) and($a(3) $s(74))) : $c(1)) ($c(1) : $s(70)) )
## hash index
70
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 1 2 0 0.309297782712077 1 0.690702217287923
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 1 2 0 0.309297782712077 1 0.690702217287923
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 1 0 1
29 0 1 0 1
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 1 2 0 0.309297782712077 1 0.690702217287923
34 1 2 0 0.309297782712077 1 0.690702217287923
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 1 1 1 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 0 1 0 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 1 1 1 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 1 2 0 0.309297782712077 1 0.690702217287923
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 1 2 0 0.309297782712077 1 0.690702217287923
93 1 2 0 0.309297782712077 1 0.690702217287923
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 0 1 0 1
102 1 2 0 0.309297782712077 1 0.690702217287923
103 0 1 0 1
104 1 2 0 0.309297782712077 1 0.690702217287923
105 0 1 0 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 1 2 0 0.309297782712077 1 0.690702217287923
113 1 2 0 0.309297782712077 1 0.690702217287923
114 1 2 0 0.309297782712077 1 0.690702217287923
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 0 1 0 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 1 1 1 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 0 1 0 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 1 1 1 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 1 2 0 0.309297782712077 1 0.690702217287923
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 1 0 1
167 0 1 0 1
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 1 2 0 0.309297782712077 1 0.690702217287923
172 0 1 0 1
173 1 2 0 0.309297782712077 1 0.690702217287923
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 1 2 0 0.309297782712077 1 0.690702217287923
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.309297782712077 1 0.690702217287923
185 0 1 0 1
186 0 1 0 1
187 0 1 0 1
188 0 1 0 1
189 0 1 0 1
190 0 1 0 1
191 1 2 0 0.309297782712077 1 0.690702217287923
192 0 1 0 1
193 1 2 0 0.309297782712077 1 0.690702217287923
194 1 2 0 0.309297782712077 1 0.690702217287923
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 0 1 0 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 1 1 1 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 0 1 0 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 1 1 1 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 1 2 0 0.309297782712077 1 0.690702217287923
242 1 2 0 0.309297782712077 1 0.690702217287923
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 0 1 0 1
251 1 2 0 0.309297782712077 1 0.690702217287923
252 1 2 0 0.309297782712077 1 0.690702217287923
253 1 2 0 0.309297782712077 1 0.690702217287923
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 0 1 0 1
261 1 2 0 0.309297782712077 1 0.690702217287923
262 1 2 0 0.309297782712077 1 0.690702217287923
263 0 1 0 1
264 1 2 0 0.309297782712077 1 0.690702217287923
265 0 1 0 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 0 1 0 1
271 1 2 0 0.309297782712077 1 0.690702217287923
272 1 2 0 0.309297782712077 1 0.690702217287923
273 1 2 0 0.309297782712077 1 0.690702217287923
274 1 2 0 0.309297782712077 1 0.690702217287923
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 0 1 0 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 1 1 1 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 0 1 0 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 1 1 1 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
31
## name
robot-at(x54, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(71)) and($a(2) $s(71)) and($a(0) $s(71)) and($a(3) $s(71))) : $c(0)) (or(and($a(1) $s(70)) and($a(2) $s(31)) and($a(0) $s(69)) and($a(3) $s(75))) : Bernoulli($c(0.704425742623004))) ($c(1) : $s(71)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(71)) and($a(2) $s(71)) and($a(0) $s(71)) and($a(3) $s(71))) : $c(0)) (or(and($a(1) $s(70)) and($a(2) $s(31)) and($a(0) $s(69)) and($a(3) $s(75))) : $c(1)) ($c(1) : $s(71)) )
## hash index
71
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 1 2 0 0.295574257376996 1 0.704425742623004
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 1 2 0 0.295574257376996 1 0.704425742623004
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 1 0 1
29 0 1 0 1
30 0 1 0 1
31 0 1 0 1
32 1 2 0 0.295574257376996 1 0.704425742623004
33 0 1 0 1
34 1 2 0 0.295574257376996 1 0.704425742623004
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 1 2 0 0.295574257376996 1 0.704425742623004
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 1 2 0 0.295574257376996 1 0.704425742623004
53 1 2 0 0.295574257376996 1 0.704425742623004
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 0 1 0 1
62 0 1 0 1
63 1 2 0 0.295574257376996 1 0.704425742623004
64 1 2 0 0.295574257376996 1 0.704425742623004
65 0 1 0 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 1 2 0 0.295574257376996 1 0.704425742623004
73 1 2 0 0.295574257376996 1 0.704425742623004
74 1 2 0 0.295574257376996 1 0.704425742623004
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 1 1 1 1
81 0 1 0 1
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 1 1 1 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 0 1 0 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 1 1 1 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 0 1 0 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 1 1 1 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 0 1 0 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 1 1 1 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 1 2 0 0.295574257376996 1 0.704425742623004
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 1 0 1
167 0 1 0 1
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 1 2 0 0.295574257376996 1 0.704425742623004
172 1 2 0 0.295574257376996 1 0.704425742623004
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 1 2 0 0.295574257376996 1 0.704425742623004
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.295574257376996 1 0.704425742623004
185 0 1 0 1
186 0 1 0 1
187 0 1 0 1
188 0 1 0 1
189 0 1 0 1
190 0 1 0 1
191 1 2 0 0.295574257376996 1 0.704425742623004
192 1 2 0 0.295574257376996 1 0.704425742623004
193 0 1 0 1
194 1 2 0 0.295574257376996 1 0.704425742623004
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 1 2 0 0.295574257376996 1 0.704425742623004
202 0 1 0 1
203 1 2 0 0.295574257376996 1 0.704425742623004
204 0 1 0 1
205 0 1 0 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 1 2 0 0.295574257376996 1 0.704425742623004
212 1 2 0 0.295574257376996 1 0.704425742623004
213 1 2 0 0.295574257376996 1 0.704425742623004
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 0 1 0 1
221 1 2 0 0.295574257376996 1 0.704425742623004
222 0 1 0 1
223 1 2 0 0.295574257376996 1 0.704425742623004
224 1 2 0 0.295574257376996 1 0.704425742623004
225 0 1 0 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 1 2 0 0.295574257376996 1 0.704425742623004
232 1 2 0 0.295574257376996 1 0.704425742623004
233 1 2 0 0.295574257376996 1 0.704425742623004
234 1 2 0 0.295574257376996 1 0.704425742623004
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 1 1 1 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 0 1 0 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 1 1 1 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 0 1 0 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 1 1 1 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 0 1 0 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 1 1 1 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
32
## name
robot-at(x6, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(72)) and($a(2) $s(72)) and($a(0) $s(72))) : $c(0)) (or(and($a(1) $s(32)) and($a(2) $s(73)) and($a(3) $s(78))) : Bernoulli($c(0.961260529235005))) ($c(1) : $s(72)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(72)) and($a(2) $s(72)) and($a(0) $s(72))) : $c(0)) (or(and($a(1) $s(32)) and($a(2) $s(73)) and($a(3) $s(78))) : $c(1)) ($c(1) : $s(72)) )
## hash index
72
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
160
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 1 2 0 0.0387394707649946 1 0.961260529235005
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 1 1 1 1
21 1 1 1 1
22 0 1 0 1
23 0 1 0 1
24 0 1 0 1
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 1 0 1
29 0 1 0 1
30 1 1 1 1
31 1 1 1 1
32 0 1 0 1
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 1 2 0 0.0387394707649946 1 0.961260529235005
43 0 1 0 1
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 1 2 0 0.0387394707649946 1 0.961260529235005
53 1 2 0 0.0387394707649946 1 0.961260529235005
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 1 1 1 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 0 1 0 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 1 1 1 1
71 1 1 1 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 1 2 0 0.0387394707649946 1 0.961260529235005
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 1 2 0 0.0387394707649946 1 0.961260529235005
92 0 1 0 1
93 1 2 0 0.0387394707649946 1 0.961260529235005
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 1 2 0 0.0387394707649946 1 0.961260529235005
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 0 1 0 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 1 1 1 1
111 1 2 0 0.0387394707649946 1 0.961260529235005
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 0 1 0 1
121 1 2 0 0.0387394707649946 1 0.961260529235005
122 1 2 0 0.0387394707649946 1 0.961260529235005
123 0 1 0 1
124 0 1 0 1
125 0 1 0 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 1 2 0 0.0387394707649946 1 0.961260529235005
132 1 2 0 0.0387394707649946 1 0.961260529235005
133 1 2 0 0.0387394707649946 1 0.961260529235005
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 1 2 0 0.0387394707649946 1 0.961260529235005
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 0 1 0 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 1 1 1 1
151 1 2 0 0.0387394707649946 1 0.961260529235005
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
33
## name
robot-at(x6, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(73)) and($a(2) $s(73)) and($a(0) $s(73))) : $c(0)) (or(and($a(1) $s(72)) and($a(2) $s(33)) and($a(3) $s(79))) : Bernoulli($c(0.941572720184922))) ($c(1) : $s(73)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(73)) and($a(2) $s(73)) and($a(0) $s(73))) : $c(0)) (or(and($a(1) $s(72)) and($a(2) $s(33)) and($a(3) $s(79))) : $c(1)) ($c(1) : $s(73)) )
## hash index
73
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
160
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 1 2 0 0.0584272798150778 1 0.941572720184922
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 1 2 0 0.0584272798150778 1 0.941572720184922
24 0 1 0 1
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 1 0 1
29 0 1 0 1
30 0 1 0 1
31 0 1 0 1
32 1 2 0 0.0584272798150778 1 0.941572720184922
33 1 2 0 0.0584272798150778 1 0.941572720184922
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 1 1 1 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 1 1 1 1
51 1 1 1 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 1 1 1 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 0 1 0 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 1 1 1 1
71 1 1 1 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 1 2 0 0.0584272798150778 1 0.941572720184922
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 1 2 0 0.0584272798150778 1 0.941572720184922
92 1 2 0 0.0584272798150778 1 0.941572720184922
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 1 2 0 0.0584272798150778 1 0.941572720184922
102 0 1 0 1
103 1 2 0 0.0584272798150778 1 0.941572720184922
104 0 1 0 1
105 0 1 0 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 1 2 0 0.0584272798150778 1 0.941572720184922
112 1 2 0 0.0584272798150778 1 0.941572720184922
113 1 2 0 0.0584272798150778 1 0.941572720184922
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 1 2 0 0.0584272798150778 1 0.941572720184922
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 0 1 0 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 1 1 1 1
131 1 2 0 0.0584272798150778 1 0.941572720184922
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 1 2 0 0.0584272798150778 1 0.941572720184922
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 0 1 0 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 1 1 1 1
151 1 2 0 0.0584272798150778 1 0.941572720184922
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
1215
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
34
## name
robot-at(x69, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(74)) and($a(2) $s(74)) and($a(0) $s(74)) and($a(3) $s(74))) : $c(0)) (or(and($a(1) $s(34)) and($a(2) $s(75)) and($a(0) $s(70)) and($a(3) $s(76))) : Bernoulli($c(0.637930810843643))) ($c(1) : $s(74)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(74)) and($a(2) $s(74)) and($a(0) $s(74)) and($a(3) $s(74))) : $c(0)) (or(and($a(1) $s(34)) and($a(2) $s(75)) and($a(0) $s(70)) and($a(3) $s(76))) : $c(1)) ($c(1) : $s(74)) )
## hash index
74
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 1 2 0 0.362069189156357 1 0.637930810843643
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 1 2 0 0.362069189156357 1 0.637930810843643
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 1 0 1
29 0 1 0 1
30 0 1 0 1
31 0 1 0 1
32 0 1 0 1
33 1 2 0 0.362069189156357 1 0.637930810843643
34 1 2 0 0.362069189156357 1 0.637930810843643
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 1 1 1 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 1 1 1 1
51 0 1 0 1
52 0 1 0 1
53 0 1 0 1
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 1 1 1 1
61 0 1 0 1
62 0 1 0 1
63 0 1 0 1
64 0 1 0 1
65 0 1 0 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 1 1 1 1
71 0 1 0 1
72 0 1 0 1
73 0 1 0 1
74 0 1 0 1
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 1 2 0 0.362069189156357 1 0.637930810843643
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 1 2 0 0.362069189156357 1 0.637930810843643
93 1 2 0 0.362069189156357 1 0.637930810843643
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 0 1 0 1
102 1 2 0 0.362069189156357 1 0.637930810843643
103 0 1 0 1
104 1 2 0 0.362069189156357 1 0.637930810843643
105 0 1 0 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 0 1 0 1
112 1 2 0 0.362069189156357 1 0.637930810843643
113 1 2 0 0.362069189156357 1 0.637930810843643
114 1 2 0 0.362069189156357 1 0.637930810843643
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 0 1 0 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 1 1 1 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 0 1 0 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 1 1 1 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 1 2 0 0.362069189156357 1 0.637930810843643
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 1 0 1
167 0 1 0 1
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 1 2 0 0.362069189156357 1 0.637930810843643
172 0 1 0 1
173 1 2 0 0.362069189156357 1 0.637930810843643
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 1 2 0 0.362069189156357 1 0.637930810843643
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.362069189156357 1 0.637930810843643
185 0 1 0 1
186 0 1 0 1
187 0 1 0 1
188 0 1 0 1
189 0 1 0 1
190 0 1 0 1
191 1 2 0 0.362069189156357 1 0.637930810843643
192 0 1 0 1
193 1 2 0 0.362069189156357 1 0.637930810843643
194 1 2 0 0.362069189156357 1 0.637930810843643
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 0 1 0 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 1 1 1 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 0 1 0 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 1 1 1 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 0 1 0 1
241 1 2 0 0.362069189156357 1 0.637930810843643
242 1 2 0 0.362069189156357 1 0.637930810843643
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 0 1 0 1
251 1 2 0 0.362069189156357 1 0.637930810843643
252 1 2 0 0.362069189156357 1 0.637930810843643
253 1 2 0 0.362069189156357 1 0.637930810843643
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 0 1 0 1
261 1 2 0 0.362069189156357 1 0.637930810843643
262 1 2 0 0.362069189156357 1 0.637930810843643
263 0 1 0 1
264 1 2 0 0.362069189156357 1 0.637930810843643
265 0 1 0 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 0 1 0 1
271 1 2 0 0.362069189156357 1 0.637930810843643
272 1 2 0 0.362069189156357 1 0.637930810843643
273 1 2 0 0.362069189156357 1 0.637930810843643
274 1 2 0 0.362069189156357 1 0.637930810843643
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 0 1 0 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 1 1 1 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 0 1 0 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 1 1 1 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
35
## name
robot-at(x69, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(75)) and($a(2) $s(75)) and($a(0) $s(75)) and($a(3) $s(75))) : $c(0)) (or(and($a(1) $s(74)) and($a(2) $s(35)) and($a(0) $s(71)) and($a(3) $s(77))) : Bernoulli($c(0.623690763880548))) ($c(1) : $s(75)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(75)) and($a(2) $s(75)) and($a(0) $s(75)) and($a(3) $s(75))) : $c(0)) (or(and($a(1) $s(74)) and($a(2) $s(35)) and($a(0) $s(71)) and($a(3) $s(77))) : $c(1)) ($c(1) : $s(75)) )
## hash index
75
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 1 2 0 0.376309236119452 1 0.623690763880548
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 0 1 0 1
22 0 1 0 1
23 0 1 0 1
24 1 2 0 0.376309236119452 1 0.623690763880548
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 1 0 1
29 0 1 0 1
30 0 1 0 1
31 0 1 0 1
32 1 2 0 0.376309236119452 1 0.623690763880548
33 0 1 0 1
34 1 2 0 0.376309236119452 1 0.623690763880548
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 1 2 0 0.376309236119452 1 0.623690763880548
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 1 2 0 0.376309236119452 1 0.623690763880548
53 1 2 0 0.376309236119452 1 0.623690763880548
54 0 1 0 1
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 0 1 0 1
62 0 1 0 1
63 1 2 0 0.376309236119452 1 0.623690763880548
64 1 2 0 0.376309236119452 1 0.623690763880548
65 0 1 0 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 0 1 0 1
72 1 2 0 0.376309236119452 1 0.623690763880548
73 1 2 0 0.376309236119452 1 0.623690763880548
74 1 2 0 0.376309236119452 1 0.623690763880548
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 1 1 1 1
81 0 1 0 1
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 1 1 1 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 0 1 0 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 1 1 1 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 0 1 0 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 1 1 1 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 0 1 0 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 1 1 1 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 1 2 0 0.376309236119452 1 0.623690763880548
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 1 0 1
167 0 1 0 1
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 1 2 0 0.376309236119452 1 0.623690763880548
172 1 2 0 0.376309236119452 1 0.623690763880548
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 1 2 0 0.376309236119452 1 0.623690763880548
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.376309236119452 1 0.623690763880548
185 0 1 0 1
186 0 1 0 1
187 0 1 0 1
188 0 1 0 1
189 0 1 0 1
190 0 1 0 1
191 1 2 0 0.376309236119452 1 0.623690763880548
192 1 2 0 0.376309236119452 1 0.623690763880548
193 0 1 0 1
194 1 2 0 0.376309236119452 1 0.623690763880548
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 1 2 0 0.376309236119452 1 0.623690763880548
202 0 1 0 1
203 1 2 0 0.376309236119452 1 0.623690763880548
204 0 1 0 1
205 0 1 0 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 1 2 0 0.376309236119452 1 0.623690763880548
212 1 2 0 0.376309236119452 1 0.623690763880548
213 1 2 0 0.376309236119452 1 0.623690763880548
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 0 1 0 1
221 1 2 0 0.376309236119452 1 0.623690763880548
222 0 1 0 1
223 1 2 0 0.376309236119452 1 0.623690763880548
224 1 2 0 0.376309236119452 1 0.623690763880548
225 0 1 0 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 1 2 0 0.376309236119452 1 0.623690763880548
232 1 2 0 0.376309236119452 1 0.623690763880548
233 1 2 0 0.376309236119452 1 0.623690763880548
234 1 2 0 0.376309236119452 1 0.623690763880548
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 1 1 1 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 0 1 0 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 1 1 1 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 0 1 0 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 1 1 1 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 0 1 0 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 1 1 1 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
36
## name
robot-at(x86, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(76)) and($a(2) $s(76)) and($a(0) $s(76)) and($a(3) $s(76))) : $c(0)) (or(and($a(1) $s(36)) and($a(2) $s(77)) and($a(0) $s(74)) and($a(3) $s(40))) : Bernoulli($c(0.603530148240296))) ($c(1) : $s(76)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(76)) and($a(2) $s(76)) and($a(0) $s(76)) and($a(3) $s(76))) : $c(0)) (or(and($a(1) $s(36)) and($a(2) $s(77)) and($a(0) $s(74)) and($a(3) $s(40))) : $c(1)) ($c(1) : $s(76)) )
## hash index
76
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 1 2 0 0.396469851759704 1 0.603530148240296
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 1 2 0 0.396469851759704 1 0.603530148240296
22 0 1 0 1
23 0 1 0 1
24 0 1 0 1
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 1 0 1
29 0 1 0 1
30 0 1 0 1
31 1 2 0 0.396469851759704 1 0.603530148240296
32 0 1 0 1
33 1 2 0 0.396469851759704 1 0.603530148240296
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 1 2 0 0.396469851759704 1 0.603530148240296
45 0 1 0 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 1 2 0 0.396469851759704 1 0.603530148240296
54 1 2 0 0.396469851759704 1 0.603530148240296
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 1 2 0 0.396469851759704 1 0.603530148240296
62 0 1 0 1
63 0 1 0 1
64 1 2 0 0.396469851759704 1 0.603530148240296
65 0 1 0 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 1 2 0 0.396469851759704 1 0.603530148240296
72 0 1 0 1
73 1 2 0 0.396469851759704 1 0.603530148240296
74 1 2 0 0.396469851759704 1 0.603530148240296
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 1 1 1 1
81 0 1 0 1
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 1 1 1 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 0 1 0 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 1 1 1 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 0 1 0 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 1 1 1 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 0 1 0 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 1 1 1 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 1 0 1
162 1 2 0 0.396469851759704 1 0.603530148240296
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 1 0 1
167 0 1 0 1
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 1 2 0 0.396469851759704 1 0.603530148240296
173 1 2 0 0.396469851759704 1 0.603530148240296
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 1 2 0 0.396469851759704 1 0.603530148240296
182 1 2 0 0.396469851759704 1 0.603530148240296
183 0 1 0 1
184 0 1 0 1
185 0 1 0 1
186 0 1 0 1
187 0 1 0 1
188 0 1 0 1
189 0 1 0 1
190 0 1 0 1
191 1 2 0 0.396469851759704 1 0.603530148240296
192 1 2 0 0.396469851759704 1 0.603530148240296
193 1 2 0 0.396469851759704 1 0.603530148240296
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 0 1 0 1
202 1 2 0 0.396469851759704 1 0.603530148240296
203 0 1 0 1
204 1 2 0 0.396469851759704 1 0.603530148240296
205 0 1 0 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 1 2 0 0.396469851759704 1 0.603530148240296
213 1 2 0 0.396469851759704 1 0.603530148240296
214 1 2 0 0.396469851759704 1 0.603530148240296
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 0 1 0 1
221 1 2 0 0.396469851759704 1 0.603530148240296
222 1 2 0 0.396469851759704 1 0.603530148240296
223 0 1 0 1
224 1 2 0 0.396469851759704 1 0.603530148240296
225 0 1 0 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 1 2 0 0.396469851759704 1 0.603530148240296
232 1 2 0 0.396469851759704 1 0.603530148240296
233 1 2 0 0.396469851759704 1 0.603530148240296
234 1 2 0 0.396469851759704 1 0.603530148240296
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 1 1 1 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 0 1 0 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 1 1 1 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 0 1 0 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 1 1 1 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 0 1 0 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 1 1 1 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
37
## name
robot-at(x86, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(77)) and($a(2) $s(77)) and($a(0) $s(77)) and($a(3) $s(77))) : $c(0)) (or(and($a(1) $s(76)) and($a(2) $s(37)) and($a(0) $s(75)) and($a(3) $s(41))) : Bernoulli($c(0.587990543069808))) ($c(1) : $s(77)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(77)) and($a(2) $s(77)) and($a(0) $s(77)) and($a(3) $s(77))) : $c(0)) (or(and($a(1) $s(76)) and($a(2) $s(37)) and($a(0) $s(75)) and($a(3) $s(41))) : $c(1)) ($c(1) : $s(77)) )
## hash index
77
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 1 2 0 0.412009456930192 1 0.587990543069808
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 1 2 0 0.412009456930192 1 0.587990543069808
22 0 1 0 1
23 0 1 0 1
24 0 1 0 1
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 1 0 1
29 0 1 0 1
30 0 1 0 1
31 1 2 0 0.412009456930192 1 0.587990543069808
32 1 2 0 0.412009456930192 1 0.587990543069808
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 1 2 0 0.412009456930192 1 0.587990543069808
45 0 1 0 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 1 2 0 0.412009456930192 1 0.587990543069808
53 0 1 0 1
54 1 2 0 0.412009456930192 1 0.587990543069808
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 1 2 0 0.412009456930192 1 0.587990543069808
62 0 1 0 1
63 0 1 0 1
64 1 2 0 0.412009456930192 1 0.587990543069808
65 0 1 0 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 1 2 0 0.412009456930192 1 0.587990543069808
72 1 2 0 0.412009456930192 1 0.587990543069808
73 0 1 0 1
74 1 2 0 0.412009456930192 1 0.587990543069808
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 0 1 0 1
83 1 2 0 0.412009456930192 1 0.587990543069808
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 1 2 0 0.412009456930192 1 0.587990543069808
93 1 2 0 0.412009456930192 1 0.587990543069808
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 1 2 0 0.412009456930192 1 0.587990543069808
102 0 1 0 1
103 1 2 0 0.412009456930192 1 0.587990543069808
104 0 1 0 1
105 0 1 0 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 1 2 0 0.412009456930192 1 0.587990543069808
112 1 2 0 0.412009456930192 1 0.587990543069808
113 1 2 0 0.412009456930192 1 0.587990543069808
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 0 1 0 1
121 0 1 0 1
122 0 1 0 1
123 1 2 0 0.412009456930192 1 0.587990543069808
124 1 2 0 0.412009456930192 1 0.587990543069808
125 0 1 0 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 1 2 0 0.412009456930192 1 0.587990543069808
133 1 2 0 0.412009456930192 1 0.587990543069808
134 1 2 0 0.412009456930192 1 0.587990543069808
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 0 1 0 1
141 1 2 0 0.412009456930192 1 0.587990543069808
142 0 1 0 1
143 1 2 0 0.412009456930192 1 0.587990543069808
144 1 2 0 0.412009456930192 1 0.587990543069808
145 0 1 0 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 1 2 0 0.412009456930192 1 0.587990543069808
152 1 2 0 0.412009456930192 1 0.587990543069808
153 1 2 0 0.412009456930192 1 0.587990543069808
154 1 2 0 0.412009456930192 1 0.587990543069808
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 1 1 1 1
161 0 1 0 1
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 1 0 1
167 0 1 0 1
168 0 1 0 1
169 0 1 0 1
170 1 1 1 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 1 1 1 1
181 0 1 0 1
182 0 1 0 1
183 0 1 0 1
184 0 1 0 1
185 0 1 0 1
186 0 1 0 1
187 0 1 0 1
188 0 1 0 1
189 0 1 0 1
190 1 1 1 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 0 1 0 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 1 1 1 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 0 1 0 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 1 1 1 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 1 1 1 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 0 1 0 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 1 1 1 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 0 1 0 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 1 1 1 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 0 1 0 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 1 1 1 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
38
## name
robot-at(x9, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(78)) and($a(2) $s(78)) and($a(0) $s(78)) and($a(3) $s(78))) : $c(0)) (or(and($a(1) $s(38)) and($a(2) $s(79)) and($a(0) $s(72)) and($a(3) $s(44))) : Bernoulli($c(0.930515645562034))) ($c(1) : $s(78)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(78)) and($a(2) $s(78)) and($a(0) $s(78)) and($a(3) $s(78))) : $c(0)) (or(and($a(1) $s(38)) and($a(2) $s(79)) and($a(0) $s(72)) and($a(3) $s(44))) : $c(1)) ($c(1) : $s(78)) )
## hash index
78
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 0 1 0 1
13 1 2 0 0.0694843544379661 1 0.930515645562034
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 1 2 0 0.0694843544379661 1 0.930515645562034
22 0 1 0 1
23 0 1 0 1
24 0 1 0 1
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 1 0 1
29 0 1 0 1
30 0 1 0 1
31 1 2 0 0.0694843544379661 1 0.930515645562034
32 0 1 0 1
33 1 2 0 0.0694843544379661 1 0.930515645562034
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 1 2 0 0.0694843544379661 1 0.930515645562034
45 0 1 0 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 0 1 0 1
53 1 2 0 0.0694843544379661 1 0.930515645562034
54 1 2 0 0.0694843544379661 1 0.930515645562034
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 1 2 0 0.0694843544379661 1 0.930515645562034
62 0 1 0 1
63 0 1 0 1
64 1 2 0 0.0694843544379661 1 0.930515645562034
65 0 1 0 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 1 2 0 0.0694843544379661 1 0.930515645562034
72 0 1 0 1
73 1 2 0 0.0694843544379661 1 0.930515645562034
74 1 2 0 0.0694843544379661 1 0.930515645562034
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 1 1 1 1
81 0 1 0 1
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 1 1 1 1
91 0 1 0 1
92 0 1 0 1
93 0 1 0 1
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 1 1 1 1
101 0 1 0 1
102 0 1 0 1
103 0 1 0 1
104 0 1 0 1
105 0 1 0 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 1 1 1 1
111 0 1 0 1
112 0 1 0 1
113 0 1 0 1
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 1 1 1 1
121 0 1 0 1
122 0 1 0 1
123 0 1 0 1
124 0 1 0 1
125 0 1 0 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 1 1 1 1
131 0 1 0 1
132 0 1 0 1
133 0 1 0 1
134 0 1 0 1
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 1 1 1 1
141 0 1 0 1
142 0 1 0 1
143 0 1 0 1
144 0 1 0 1
145 0 1 0 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 1 1 1 1
151 0 1 0 1
152 0 1 0 1
153 0 1 0 1
154 0 1 0 1
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 0 1 0 1
161 0 1 0 1
162 1 2 0 0.0694843544379661 1 0.930515645562034
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 1 0 1
167 0 1 0 1
168 0 1 0 1
169 0 1 0 1
170 0 1 0 1
171 0 1 0 1
172 1 2 0 0.0694843544379661 1 0.930515645562034
173 1 2 0 0.0694843544379661 1 0.930515645562034
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 0 1 0 1
181 1 2 0 0.0694843544379661 1 0.930515645562034
182 1 2 0 0.0694843544379661 1 0.930515645562034
183 0 1 0 1
184 0 1 0 1
185 0 1 0 1
186 0 1 0 1
187 0 1 0 1
188 0 1 0 1
189 0 1 0 1
190 0 1 0 1
191 1 2 0 0.0694843544379661 1 0.930515645562034
192 1 2 0 0.0694843544379661 1 0.930515645562034
193 1 2 0 0.0694843544379661 1 0.930515645562034
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 0 1 0 1
201 0 1 0 1
202 1 2 0 0.0694843544379661 1 0.930515645562034
203 0 1 0 1
204 1 2 0 0.0694843544379661 1 0.930515645562034
205 0 1 0 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 0 1 0 1
211 0 1 0 1
212 1 2 0 0.0694843544379661 1 0.930515645562034
213 1 2 0 0.0694843544379661 1 0.930515645562034
214 1 2 0 0.0694843544379661 1 0.930515645562034
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 0 1 0 1
221 1 2 0 0.0694843544379661 1 0.930515645562034
222 1 2 0 0.0694843544379661 1 0.930515645562034
223 0 1 0 1
224 1 2 0 0.0694843544379661 1 0.930515645562034
225 0 1 0 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 0 1 0 1
231 1 2 0 0.0694843544379661 1 0.930515645562034
232 1 2 0 0.0694843544379661 1 0.930515645562034
233 1 2 0 0.0694843544379661 1 0.930515645562034
234 1 2 0 0.0694843544379661 1 0.930515645562034
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 1 1 1 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 0 1 0 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 1 1 1 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 0 1 0 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 1 1 1 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 0 1 0 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 1 1 1 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4

## index
39
## name
robot-at(x9, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(79)) and($a(2) $s(79)) and($a(0) $s(79)) and($a(3) $s(79))) : $c(0)) (or(and($a(1) $s(78)) and($a(2) $s(39)) and($a(0) $s(73)) and($a(3) $s(45))) : Bernoulli($c(0.922824282689314))) ($c(1) : $s(79)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(79)) and($a(2) $s(79)) and($a(0) $s(79)) and($a(3) $s(79))) : $c(0)) (or(and($a(1) $s(78)) and($a(2) $s(39)) and($a(0) $s(73)) and($a(3) $s(45))) : $c(1)) ($c(1) : $s(79)) )
## hash index
79
## caching type 
VECTOR
## precomputed results (key - determinization - size of distribution - value-probability pairs)
320
0 0 1 0 1
1 0 1 0 1
2 0 1 0 1
3 0 1 0 1
4 0 1 0 1
5 0 1 0 1
6 0 1 0 1
7 0 1 0 1
8 0 1 0 1
9 0 1 0 1
10 0 1 0 1
11 0 1 0 1
12 1 2 0 0.0771757173106858 1 0.922824282689314
13 0 1 0 1
14 0 1 0 1
15 0 1 0 1
16 0 1 0 1
17 0 1 0 1
18 0 1 0 1
19 0 1 0 1
20 0 1 0 1
21 1 2 0 0.0771757173106858 1 0.922824282689314
22 0 1 0 1
23 0 1 0 1
24 0 1 0 1
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 1 0 1
29 0 1 0 1
30 0 1 0 1
31 1 2 0 0.0771757173106858 1 0.922824282689314
32 1 2 0 0.0771757173106858 1 0.922824282689314
33 0 1 0 1
34 0 1 0 1
35 0 1 0 1
36 0 1 0 1
37 0 1 0 1
38 0 1 0 1
39 0 1 0 1
40 0 1 0 1
41 0 1 0 1
42 0 1 0 1
43 0 1 0 1
44 1 2 0 0.0771757173106858 1 0.922824282689314
45 0 1 0 1
46 0 1 0 1
47 0 1 0 1
48 0 1 0 1
49 0 1 0 1
50 0 1 0 1
51 0 1 0 1
52 1 2 0 0.0771757173106858 1 0.922824282689314
53 0 1 0 1
54 1 2 0 0.0771757173106858 1 0.922824282689314
55 0 1 0 1
56 0 1 0 1
57 0 1 0 1
58 0 1 0 1
59 0 1 0 1
60 0 1 0 1
61 1 2 0 0.0771757173106858 1 0.922824282689314
62 0 1 0 1
63 0 1 0 1
64 1 2 0 0.0771757173106858 1 0.922824282689314
65 0 1 0 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 1 0 1
70 0 1 0 1
71 1 2 0 0.0771757173106858 1 0.922824282689314
72 1 2 0 0.0771757173106858 1 0.922824282689314
73 0 1 0 1
74 1 2 0 0.0771757173106858 1 0.922824282689314
75 0 1 0 1
76 0 1 0 1
77 0 1 0 1
78 0 1 0 1
79 0 1 0 1
80 0 1 0 1
81 0 1 0 1
82 0 1 0 1
83 1 2 0 0.0771757173106858 1 0.922824282689314
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 1 0 1
88 0 1 0 1
89 0 1 0 1
90 0 1 0 1
91 0 1 0 1
92 1 2 0 0.0771757173106858 1 0.922824282689314
93 1 2 0 0.0771757173106858 1 0.922824282689314
94 0 1 0 1
95 0 1 0 1
96 0 1 0 1
97 0 1 0 1
98 0 1 0 1
99 0 1 0 1
100 0 1 0 1
101 1 2 0 0.0771757173106858 1 0.922824282689314
102 0 1 0 1
103 1 2 0 0.0771757173106858 1 0.922824282689314
104 0 1 0 1
105 0 1 0 1
106 0 1 0 1
107 0 1 0 1
108 0 1 0 1
109 0 1 0 1
110 0 1 0 1
111 1 2 0 0.0771757173106858 1 0.922824282689314
112 1 2 0 0.0771757173106858 1 0.922824282689314
113 1 2 0 0.0771757173106858 1 0.922824282689314
114 0 1 0 1
115 0 1 0 1
116 0 1 0 1
117 0 1 0 1
118 0 1 0 1
119 0 1 0 1
120 0 1 0 1
121 0 1 0 1
122 0 1 0 1
123 1 2 0 0.0771757173106858 1 0.922824282689314
124 1 2 0 0.0771757173106858 1 0.922824282689314
125 0 1 0 1
126 0 1 0 1
127 0 1 0 1
128 0 1 0 1
129 0 1 0 1
130 0 1 0 1
131 0 1 0 1
132 1 2 0 0.0771757173106858 1 0.922824282689314
133 1 2 0 0.0771757173106858 1 0.922824282689314
134 1 2 0 0.0771757173106858 1 0.922824282689314
135 0 1 0 1
136 0 1 0 1
137 0 1 0 1
138 0 1 0 1
139 0 1 0 1
140 0 1 0 1
141 1 2 0 0.0771757173106858 1 0.922824282689314
142 0 1 0 1
143 1 2 0 0.0771757173106858 1 0.922824282689314
144 1 2 0 0.0771757173106858 1 0.922824282689314
145 0 1 0 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 1 0 1
150 0 1 0 1
151 1 2 0 0.0771757173106858 1 0.922824282689314
152 1 2 0 0.0771757173106858 1 0.922824282689314
153 1 2 0 0.0771757173106858 1 0.922824282689314
154 1 2 0 0.0771757173106858 1 0.922824282689314
155 0 1 0 1
156 0 1 0 1
157 0 1 0 1
158 0 1 0 1
159 0 1 0 1
160 1 1 1 1
161 0 1 0 1
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 1 0 1
167 0 1 0 1
168 0 1 0 1
169 0 1 0 1
170 1 1 1 1
171 0 1 0 1
172 0 1 0 1
173 0 1 0 1
174 0 1 0 1
175 0 1 0 1
176 0 1 0 1
177 0 1 0 1
178 0 1 0 1
179 0 1 0 1
180 1 1 1 1
181 0 1 0 1
182 0 1 0 1
183 0 1 0 1
184 0 1 0 1
185 0 1 0 1
186 0 1 0 1
187 0 1 0 1
188 0 1 0 1
189 0 1 0 1
190 1 1 1 1
191 0 1 0 1
192 0 1 0 1
193 0 1 0 1
194 0 1 0 1
195 0 1 0 1
196 0 1 0 1
197 0 1 0 1
198 0 1 0 1
199 0 1 0 1
200 1 1 1 1
201 0 1 0 1
202 0 1 0 1
203 0 1 0 1
204 0 1 0 1
205 0 1 0 1
206 0 1 0 1
207 0 1 0 1
208 0 1 0 1
209 0 1 0 1
210 1 1 1 1
211 0 1 0 1
212 0 1 0 1
213 0 1 0 1
214 0 1 0 1
215 0 1 0 1
216 0 1 0 1
217 0 1 0 1
218 0 1 0 1
219 0 1 0 1
220 1 1 1 1
221 0 1 0 1
222 0 1 0 1
223 0 1 0 1
224 0 1 0 1
225 0 1 0 1
226 0 1 0 1
227 0 1 0 1
228 0 1 0 1
229 0 1 0 1
230 1 1 1 1
231 0 1 0 1
232 0 1 0 1
233 0 1 0 1
234 0 1 0 1
235 0 1 0 1
236 0 1 0 1
237 0 1 0 1
238 0 1 0 1
239 0 1 0 1
240 1 1 1 1
241 0 1 0 1
242 0 1 0 1
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 1 0 1
247 0 1 0 1
248 0 1 0 1
249 0 1 0 1
250 1 1 1 1
251 0 1 0 1
252 0 1 0 1
253 0 1 0 1
254 0 1 0 1
255 0 1 0 1
256 0 1 0 1
257 0 1 0 1
258 0 1 0 1
259 0 1 0 1
260 1 1 1 1
261 0 1 0 1
262 0 1 0 1
263 0 1 0 1
264 0 1 0 1
265 0 1 0 1
266 0 1 0 1
267 0 1 0 1
268 0 1 0 1
269 0 1 0 1
270 1 1 1 1
271 0 1 0 1
272 0 1 0 1
273 0 1 0 1
274 0 1 0 1
275 0 1 0 1
276 0 1 0 1
277 0 1 0 1
278 0 1 0 1
279 0 1 0 1
280 1 1 1 1
281 0 1 0 1
282 0 1 0 1
283 0 1 0 1
284 0 1 0 1
285 0 1 0 1
286 0 1 0 1
287 0 1 0 1
288 0 1 0 1
289 0 1 0 1
290 1 1 1 1
291 0 1 0 1
292 0 1 0 1
293 0 1 0 1
294 0 1 0 1
295 0 1 0 1
296 0 1 0 1
297 0 1 0 1
298 0 1 0 1
299 0 1 0 1
300 1 1 1 1
301 0 1 0 1
302 0 1 0 1
303 0 1 0 1
304 0 1 0 1
305 0 1 0 1
306 0 1 0 1
307 0 1 0 1
308 0 1 0 1
309 0 1 0 1
310 1 1 1 1
311 0 1 0 1
312 0 1 0 1
313 0 1 0 1
314 0 1 0 1
315 0 1 0 1
316 0 1 0 1
317 0 1 0 1
318 0 1 0 1
319 0 1 0 1
## kleene caching type
VECTOR
## kleene caching vec size
3645
## action hash keys
0 0
1 1
2 2
3 3
4 4



#####REWARD#####
## formula
-($c(0) ~($s(27)))
## min
-1
## max
0
## independent from actions
1
## hash index
80
## caching type
VECTOR
## precomputed results
2
0 -1
1 0
## kleene caching type
VECTOR
## kleene caching vec size
3
## action hash keys
0 0
1 0
2 0
3 0
4 0


#####PRECONDITIONS#####


#####ACTION STATES#####
## index
0
## state
0 0 0 0 
## relevant preconditions
0


## index
1
## state
0 0 0 1 
## relevant preconditions
0


## index
2
## state
0 0 1 0 
## relevant preconditions
0


## index
3
## state
0 1 0 0 
## relevant preconditions
0


## index
4
## state
1 0 0 0 
## relevant preconditions
0



#####HASH KEYS OF DETERMINISTIC STATE FLUENTS#####
## index
0

## state fluent hash keys (first line is the number of keys)
4
0 5
2 5
36 5
40 5
## kleene state fluent hash keys (first line is the number of keys)
4
0 5
2 5
36 5
40 5

## index
1

## state fluent hash keys (first line is the number of keys)
4
1 5
3 5
37 5
41 5
## kleene state fluent hash keys (first line is the number of keys)
4
1 5
3 5
37 5
41 5

## index
2

## state fluent hash keys (first line is the number of keys)
4
0 10
2 10
6 5
42 5
## kleene state fluent hash keys (first line is the number of keys)
4
0 15
2 15
6 5
42 5

## index
3

## state fluent hash keys (first line is the number of keys)
4
1 10
3 10
7 5
43 5
## kleene state fluent hash keys (first line is the number of keys)
4
1 15
3 15
7 5
43 5

## index
4

## state fluent hash keys (first line is the number of keys)
4
4 5
12 5
38 5
44 5
## kleene state fluent hash keys (first line is the number of keys)
4
4 5
12 5
38 5
44 5

## index
5

## state fluent hash keys (first line is the number of keys)
4
5 5
13 5
39 5
45 5
## kleene state fluent hash keys (first line is the number of keys)
4
5 5
13 5
39 5
45 5

## index
6

## state fluent hash keys (first line is the number of keys)
4
2 20
6 10
8 5
46 5
## kleene state fluent hash keys (first line is the number of keys)
4
2 45
6 15
8 5
46 5

## index
7

## state fluent hash keys (first line is the number of keys)
4
3 20
7 10
9 5
47 5
## kleene state fluent hash keys (first line is the number of keys)
4
3 45
7 15
9 5
47 5

## index
8

## state fluent hash keys (first line is the number of keys)
4
6 20
8 10
10 5
48 5
## kleene state fluent hash keys (first line is the number of keys)
4
6 45
8 15
10 5
48 5

## index
9

## state fluent hash keys (first line is the number of keys)
4
7 20
9 10
11 5
49 5
## kleene state fluent hash keys (first line is the number of keys)
4
7 45
9 15
11 5
49 5

## index
10

## state fluent hash keys (first line is the number of keys)
4
8 20
10 10
14 5
50 5
## kleene state fluent hash keys (first line is the number of keys)
4
8 45
10 15
14 5
50 5

## index
11

## state fluent hash keys (first line is the number of keys)
4
9 20
11 10
15 5
51 5
## kleene state fluent hash keys (first line is the number of keys)
4
9 45
11 15
15 5
51 5

## index
12

## state fluent hash keys (first line is the number of keys)
4
4 10
12 10
20 5
52 5
## kleene state fluent hash keys (first line is the number of keys)
4
4 15
12 15
20 5
52 5

## index
13

## state fluent hash keys (first line is the number of keys)
4
5 10
13 10
21 5
53 5
## kleene state fluent hash keys (first line is the number of keys)
4
5 15
13 15
21 5
53 5

## index
14

## state fluent hash keys (first line is the number of keys)
4
10 20
14 10
16 5
54 5
## kleene state fluent hash keys (first line is the number of keys)
4
10 45
14 15
16 5
54 5

## index
15

## state fluent hash keys (first line is the number of keys)
4
11 20
15 10
17 5
55 5
## kleene state fluent hash keys (first line is the number of keys)
4
11 45
15 15
17 5
55 5

## index
16

## state fluent hash keys (first line is the number of keys)
4
14 20
16 10
18 5
56 5
## kleene state fluent hash keys (first line is the number of keys)
4
14 45
16 15
18 5
56 5

## index
17

## state fluent hash keys (first line is the number of keys)
4
15 20
17 10
19 5
57 5
## kleene state fluent hash keys (first line is the number of keys)
4
15 45
17 15
19 5
57 5

## index
18

## state fluent hash keys (first line is the number of keys)
4
16 20
18 10
22 5
58 5
## kleene state fluent hash keys (first line is the number of keys)
4
16 45
18 15
22 5
58 5

## index
19

## state fluent hash keys (first line is the number of keys)
4
17 20
19 10
23 5
59 5
## kleene state fluent hash keys (first line is the number of keys)
4
17 45
19 15
23 5
59 5

## index
20

## state fluent hash keys (first line is the number of keys)
4
12 20
20 10
28 5
60 5
## kleene state fluent hash keys (first line is the number of keys)
4
12 45
20 15
28 5
60 5

## index
21

## state fluent hash keys (first line is the number of keys)
4
13 20
21 10
29 5
61 5
## kleene state fluent hash keys (first line is the number of keys)
4
13 45
21 15
29 5
61 5

## index
22

## state fluent hash keys (first line is the number of keys)
4
18 20
22 10
24 5
62 5
## kleene state fluent hash keys (first line is the number of keys)
4
18 45
22 15
24 5
62 5

## index
23

## state fluent hash keys (first line is the number of keys)
4
19 20
23 10
25 5
63 5
## kleene state fluent hash keys (first line is the number of keys)
4
19 45
23 15
25 5
63 5

## index
24

## state fluent hash keys (first line is the number of keys)
4
22 20
24 10
26 5
64 5
## kleene state fluent hash keys (first line is the number of keys)
4
22 45
24 15
26 5
64 5

## index
25

## state fluent hash keys (first line is the number of keys)
4
23 20
25 10
27 5
65 5
## kleene state fluent hash keys (first line is the number of keys)
4
23 45
25 15
27 5
65 5

## index
26

## state fluent hash keys (first line is the number of keys)
3
24 20
26 10
66 5
## kleene state fluent hash keys (first line is the number of keys)
3
24 45
26 15
66 5

## index
27

## state fluent hash keys (first line is the number of keys)
81
0 20
1 20
2 40
3 40
4 20
5 20
6 40
7 40
8 40
9 40
10 40
11 40
12 40
13 40
14 40
15 40
16 40
17 40
18 40
19 40
20 20
21 20
22 40
23 40
24 40
25 20
26 20
27 10
28 10
29 10
30 5
31 5
32 5
33 5
34 5
35 5
36 10
37 10
38 10
39 10
40 10
41 10
42 10
43 10
44 10
45 10
46 10
47 10
48 10
49 10
50 10
51 10
52 10
53 10
54 10
55 10
56 10
57 10
58 10
59 10
60 10
61 10
62 10
63 10
64 10
65 10
66 10
67 5
68 5
69 5
70 5
71 5
72 5
73 5
74 5
75 5
76 5
77 5
78 5
79 5
80 1
## kleene state fluent hash keys (first line is the number of keys)
81
0 45
1 45
2 135
3 135
4 45
5 45
6 135
7 135
8 135
9 135
10 135
11 135
12 135
13 135
14 135
15 135
16 135
17 135
18 135
19 135
20 45
21 45
22 135
23 135
24 135
25 45
26 45
27 15
28 15
29 15
30 5
31 5
32 5
33 5
34 5
35 5
36 15
37 15
38 15
39 15
40 15
41 15
42 15
43 15
44 15
45 15
46 15
47 15
48 15
49 15
50 15
51 15
52 15
53 15
54 15
55 15
56 15
57 15
58 15
59 15
60 15
61 15
62 15
63 15
64 15
65 15
66 15
67 5
68 5
69 5
70 5
71 5
72 5
73 5
74 5
75 5
76 5
77 5
78 5
79 5
80 1

## index
28

## state fluent hash keys (first line is the number of keys)
4
20 40
28 20
30 10
68 10
## kleene state fluent hash keys (first line is the number of keys)
4
20 135
28 45
30 15
68 15

## index
29

## state fluent hash keys (first line is the number of keys)
4
21 40
29 20
31 10
69 10
## kleene state fluent hash keys (first line is the number of keys)
4
21 135
29 45
31 15
69 15

## index
30

## state fluent hash keys (first line is the number of keys)
4
28 40
30 20
34 10
70 10
## kleene state fluent hash keys (first line is the number of keys)
4
28 135
30 45
34 15
70 15

## index
31

## state fluent hash keys (first line is the number of keys)
4
29 40
31 20
35 10
71 10
## kleene state fluent hash keys (first line is the number of keys)
4
29 135
31 45
35 15
71 15

## index
32

## state fluent hash keys (first line is the number of keys)
3
32 10
38 20
72 10
## kleene state fluent hash keys (first line is the number of keys)
3
32 15
38 45
72 15

## index
33

## state fluent hash keys (first line is the number of keys)
3
33 10
39 20
73 10
## kleene state fluent hash keys (first line is the number of keys)
3
33 15
39 45
73 15

## index
34

## state fluent hash keys (first line is the number of keys)
4
30 40
34 20
36 20
74 10
## kleene state fluent hash keys (first line is the number of keys)
4
30 135
34 45
36 45
74 15

## index
35

## state fluent hash keys (first line is the number of keys)
4
31 40
35 20
37 20
75 10
## kleene state fluent hash keys (first line is the number of keys)
4
31 135
35 45
37 45
75 15

## index
36

## state fluent hash keys (first line is the number of keys)
4
0 40
34 40
36 40
76 10
## kleene state fluent hash keys (first line is the number of keys)
4
0 135
34 135
36 135
76 15

## index
37

## state fluent hash keys (first line is the number of keys)
4
1 40
35 40
37 40
77 10
## kleene state fluent hash keys (first line is the number of keys)
4
1 135
35 135
37 135
77 15

## index
38

## state fluent hash keys (first line is the number of keys)
4
4 40
32 20
38 40
78 10
## kleene state fluent hash keys (first line is the number of keys)
4
4 135
32 45
38 135
78 15

## index
39

## state fluent hash keys (first line is the number of keys)
4
5 40
33 20
39 40
79 10
## kleene state fluent hash keys (first line is the number of keys)
4
5 135
33 45
39 135
79 15


#####HASH KEYS OF PROBABILISTIC STATE FLUENTS#####
## index
0

## state fluent hash keys (first line is the number of keys)
5
0 80
40 20
41 20
42 20
76 20
## kleene state fluent hash keys (first line is the number of keys)
5
0 405
40 45
41 45
42 45
76 45

## index
1

## state fluent hash keys (first line is the number of keys)
5
1 80
40 40
41 40
43 20
77 20
## kleene state fluent hash keys (first line is the number of keys)
5
1 405
40 135
41 135
43 45
77 45

## index
2

## state fluent hash keys (first line is the number of keys)
5
2 80
40 80
42 40
43 40
46 20
## kleene state fluent hash keys (first line is the number of keys)
5
2 405
40 405
42 135
43 135
46 45

## index
3

## state fluent hash keys (first line is the number of keys)
5
3 80
41 80
42 80
43 80
47 20
## kleene state fluent hash keys (first line is the number of keys)
5
3 405
41 405
42 405
43 405
47 45

## index
4

## state fluent hash keys (first line is the number of keys)
5
4 80
44 20
45 20
52 20
78 20
## kleene state fluent hash keys (first line is the number of keys)
5
4 405
44 45
45 45
52 45
78 45

## index
5

## state fluent hash keys (first line is the number of keys)
5
5 80
44 40
45 40
53 20
79 20
## kleene state fluent hash keys (first line is the number of keys)
5
5 405
44 135
45 135
53 45
79 45

## index
6

## state fluent hash keys (first line is the number of keys)
5
6 80
42 160
46 40
47 40
48 20
## kleene state fluent hash keys (first line is the number of keys)
5
6 405
42 1215
46 135
47 135
48 45

## index
7

## state fluent hash keys (first line is the number of keys)
5
7 80
43 160
46 80
47 80
49 20
## kleene state fluent hash keys (first line is the number of keys)
5
7 405
43 1215
46 405
47 405
49 45

## index
8

## state fluent hash keys (first line is the number of keys)
5
8 80
46 160
48 40
49 40
50 20
## kleene state fluent hash keys (first line is the number of keys)
5
8 405
46 1215
48 135
49 135
50 45

## index
9

## state fluent hash keys (first line is the number of keys)
5
9 80
47 160
48 80
49 80
51 20
## kleene state fluent hash keys (first line is the number of keys)
5
9 405
47 1215
48 405
49 405
51 45

## index
10

## state fluent hash keys (first line is the number of keys)
5
10 80
48 160
50 40
51 40
54 20
## kleene state fluent hash keys (first line is the number of keys)
5
10 405
48 1215
50 135
51 135
54 45

## index
11

## state fluent hash keys (first line is the number of keys)
5
11 80
49 160
50 80
51 80
55 20
## kleene state fluent hash keys (first line is the number of keys)
5
11 405
49 1215
50 405
51 405
55 45

## index
12

## state fluent hash keys (first line is the number of keys)
5
12 80
44 80
52 40
53 40
60 20
## kleene state fluent hash keys (first line is the number of keys)
5
12 405
44 405
52 135
53 135
60 45

## index
13

## state fluent hash keys (first line is the number of keys)
5
13 80
45 80
52 80
53 80
61 20
## kleene state fluent hash keys (first line is the number of keys)
5
13 405
45 405
52 405
53 405
61 45

## index
14

## state fluent hash keys (first line is the number of keys)
5
14 80
50 160
54 40
55 40
56 20
## kleene state fluent hash keys (first line is the number of keys)
5
14 405
50 1215
54 135
55 135
56 45

## index
15

## state fluent hash keys (first line is the number of keys)
5
15 80
51 160
54 80
55 80
57 20
## kleene state fluent hash keys (first line is the number of keys)
5
15 405
51 1215
54 405
55 405
57 45

## index
16

## state fluent hash keys (first line is the number of keys)
5
16 80
54 160
56 40
57 40
58 20
## kleene state fluent hash keys (first line is the number of keys)
5
16 405
54 1215
56 135
57 135
58 45

## index
17

## state fluent hash keys (first line is the number of keys)
5
17 80
55 160
56 80
57 80
59 20
## kleene state fluent hash keys (first line is the number of keys)
5
17 405
55 1215
56 405
57 405
59 45

## index
18

## state fluent hash keys (first line is the number of keys)
5
18 80
56 160
58 40
59 40
62 20
## kleene state fluent hash keys (first line is the number of keys)
5
18 405
56 1215
58 135
59 135
62 45

## index
19

## state fluent hash keys (first line is the number of keys)
5
19 80
57 160
58 80
59 80
63 20
## kleene state fluent hash keys (first line is the number of keys)
5
19 405
57 1215
58 405
59 405
63 45

## index
20

## state fluent hash keys (first line is the number of keys)
5
20 80
52 160
60 40
61 40
68 20
## kleene state fluent hash keys (first line is the number of keys)
5
20 405
52 1215
60 135
61 135
68 45

## index
21

## state fluent hash keys (first line is the number of keys)
5
21 80
53 160
60 80
61 80
69 20
## kleene state fluent hash keys (first line is the number of keys)
5
21 405
53 1215
60 405
61 405
69 45

## index
22

## state fluent hash keys (first line is the number of keys)
5
22 80
58 160
62 40
63 40
64 20
## kleene state fluent hash keys (first line is the number of keys)
5
22 405
58 1215
62 135
63 135
64 45

## index
23

## state fluent hash keys (first line is the number of keys)
5
23 80
59 160
62 80
63 80
65 20
## kleene state fluent hash keys (first line is the number of keys)
5
23 405
59 1215
62 405
63 405
65 45

## index
24

## state fluent hash keys (first line is the number of keys)
5
24 80
62 160
64 40
65 40
66 20
## kleene state fluent hash keys (first line is the number of keys)
5
24 405
62 1215
64 135
65 135
66 45

## index
25

## state fluent hash keys (first line is the number of keys)
5
25 40
63 160
64 80
65 80
67 10
## kleene state fluent hash keys (first line is the number of keys)
5
25 135
63 1215
64 405
65 405
67 15

## index
26

## state fluent hash keys (first line is the number of keys)
4
26 40
64 160
66 40
67 20
## kleene state fluent hash keys (first line is the number of keys)
4
26 135
64 1215
66 135
67 45

## index
27

## state fluent hash keys (first line is the number of keys)
4
27 20
65 160
66 80
67 40
## kleene state fluent hash keys (first line is the number of keys)
4
27 45
65 1215
66 405
67 135

## index
28

## state fluent hash keys (first line is the number of keys)
5
28 80
60 160
68 40
69 40
70 20
## kleene state fluent hash keys (first line is the number of keys)
5
28 405
60 1215
68 135
69 135
70 45

## index
29

## state fluent hash keys (first line is the number of keys)
5
29 80
61 160
68 80
69 80
71 20
## kleene state fluent hash keys (first line is the number of keys)
5
29 405
61 1215
68 405
69 405
71 45

## index
30

## state fluent hash keys (first line is the number of keys)
5
30 80
68 160
70 40
71 40
74 20
## kleene state fluent hash keys (first line is the number of keys)
5
30 405
68 1215
70 135
71 135
74 45

## index
31

## state fluent hash keys (first line is the number of keys)
5
31 80
69 160
70 80
71 80
75 20
## kleene state fluent hash keys (first line is the number of keys)
5
31 405
69 1215
70 405
71 405
75 45

## index
32

## state fluent hash keys (first line is the number of keys)
4
32 40
72 20
73 20
78 40
## kleene state fluent hash keys (first line is the number of keys)
4
32 135
72 45
73 45
78 135

## index
33

## state fluent hash keys (first line is the number of keys)
4
33 40
72 40
73 40
79 40
## kleene state fluent hash keys (first line is the number of keys)
4
33 135
72 135
73 135
79 135

## index
34

## state fluent hash keys (first line is the number of keys)
5
34 80
70 160
74 40
75 40
76 40
## kleene state fluent hash keys (first line is the number of keys)
5
34 405
70 1215
74 135
75 135
76 135

## index
35

## state fluent hash keys (first line is the number of keys)
5
35 80
71 160
74 80
75 80
77 40
## kleene state fluent hash keys (first line is the number of keys)
5
35 405
71 1215
74 405
75 405
77 135

## index
36

## state fluent hash keys (first line is the number of keys)
5
36 80
40 160
74 160
76 80
77 80
## kleene state fluent hash keys (first line is the number of keys)
5
36 405
40 1215
74 1215
76 405
77 405

## index
37

## state fluent hash keys (first line is the number of keys)
5
37 80
41 160
75 160
76 160
77 160
## kleene state fluent hash keys (first line is the number of keys)
5
37 405
41 1215
75 1215
76 1215
77 1215

## index
38

## state fluent hash keys (first line is the number of keys)
5
38 80
44 160
72 80
78 80
79 80
## kleene state fluent hash keys (first line is the number of keys)
5
38 405
44 1215
72 405
78 405
79 405

## index
39

## state fluent hash keys (first line is the number of keys)
5
39 80
45 160
73 80
78 160
79 160
## kleene state fluent hash keys (first line is the number of keys)
5
39 405
45 1215
73 405
78 1215
79 1215



#####TRAINING SET#####
7
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 
