#####TASK#####
## name
navigation_inst_mdp__10
## horizon
40
## discount factor
1
## number of action fluents
4
## number of det state fluents
40
## number of prob state fluents
60
## number of preconds
0
## number of actions
5
## number of hashing functions
101
## 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 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
2246
## number of unique states that were encountered during task analysis
8
## number of states with only one applicable reasonable action that were encountered during task analysis
2081
## 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
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
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40 0
41 0
42 0
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44 1
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46 0
47 1
48 0
49 0
50 0
51 1
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54 1
55 1
56 0
57 1
58 0
59 0
60 0
61 0
62 0
63 0
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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 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, y36)
## 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) $s(42)) and($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
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
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 0
48 1
49 0
50 0
51 1
52 0
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54 1
55 1
56 0
57 0
58 1
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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 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) $s(43)) and($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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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
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60 0
61 0
62 0
63 0
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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
3
## name
robot-at(x126, y36)
## 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) $s(45)) and($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
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
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) $s(46)) and($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
59 0
60 0
61 0
62 0
63 0
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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 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
5
## name
robot-at(x14, y36)
## 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) $s(48)) and($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
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 0
44 1
45 1
46 0
47 0
48 1
49 0
50 0
51 1
52 0
53 0
54 1
55 1
56 0
57 0
58 1
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60 0
61 0
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72 0
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80 0
81 0
82 0
83 1
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85 1
86 0
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88 1
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90 0
91 1
92 0
93 1
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95 1
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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
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) $s(49)) and($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
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
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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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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
7
## name
robot-at(x149, y36)
## 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) $s(51)) and($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
11 0
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13 1
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18 1
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21 1
22 0
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25 0
26 1
27 0
28 0
29 1
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31 0
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113 1
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117 0
118 1
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131 0
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133 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) $s(52)) and($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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110 1
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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
9
## name
robot-at(x174, y36)
## 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) $s(54)) and($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) $s(55)) and($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, y36)
## 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) $s(57)) and($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) $s(58)) and($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, y36)
## 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) $s(60)) and($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) $s(61)) and($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, y36)
## 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) $s(63)) and($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) $s(64)) and($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, y36)
## 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) $s(66)) and($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) $s(67)) and($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, y36)
## 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) $s(69)) and($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) $s(70)) and($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, y36)
## 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) $s(72)) and($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) $s(73)) and($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, y36)
## 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) $s(75)) and($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) $s(76)) and($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, y36)
## 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) $s(78)) and($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) $s(79)) and($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, y36)
## 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) $s(81)) and($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) $s(82)) and($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, y36)
## 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) $s(84)) and($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) $s(85)) and($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, y36)
## 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) $s(87)) and($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) $s(88)) and($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, y36)
## 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) $s(90)) and($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) $s(91)) and($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, y36)
## 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) $s(93)) and($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) $s(94)) and($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, y36)
## 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) $s(96)) and($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) $s(97)) and($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, y36)
## 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) $s(99)) and($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) $s(94)) and($a(3) $s(43))) : Bernoulli($c(0.549293104510166))) ($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) $s(94)) and($a(3) $s(43))) : $c(1)) ($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 0.450706895489834 1 0.549293104510166
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 0.450706895489834 1 0.549293104510166
43 0 1 0 1
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 1 2 0 0.450706895489834 1 0.549293104510166
48 1 2 0 0.450706895489834 1 0.549293104510166
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 0.450706895489834 1 0.549293104510166
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 1 2 0 0.450706895489834 1 0.549293104510166
87 0 1 0 1
88 1 2 0 0.450706895489834 1 0.549293104510166
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 0.450706895489834 1 0.549293104510166
122 1 2 0 0.450706895489834 1 0.549293104510166
123 0 1 0 1
124 0 1 0 1
125 0 1 0 1
126 1 2 0 0.450706895489834 1 0.549293104510166
127 1 2 0 0.450706895489834 1 0.549293104510166
128 1 2 0 0.450706895489834 1 0.549293104510166
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 0.450706895489834 1 0.549293104510166
165 0 1 0 1
166 0 1 0 1
167 0 1 0 1
168 1 2 0 0.450706895489834 1 0.549293104510166
169 1 2 0 0.450706895489834 1 0.549293104510166
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 0.450706895489834 1 0.549293104510166
203 0 1 0 1
204 1 2 0 0.450706895489834 1 0.549293104510166
205 0 1 0 1
206 0 1 0 1
207 1 2 0 0.450706895489834 1 0.549293104510166
208 1 2 0 0.450706895489834 1 0.549293104510166
209 1 2 0 0.450706895489834 1 0.549293104510166
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 0.450706895489834 1 0.549293104510166
242 0 1 0 1
243 0 1 0 1
244 1 2 0 0.450706895489834 1 0.549293104510166
245 0 1 0 1
246 1 2 0 0.450706895489834 1 0.549293104510166
247 0 1 0 1
248 1 2 0 0.450706895489834 1 0.549293104510166
249 1 2 0 0.450706895489834 1 0.549293104510166
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 0.450706895489834 1 0.549293104510166
282 1 2 0 0.450706895489834 1 0.549293104510166
283 0 1 0 1
284 1 2 0 0.450706895489834 1 0.549293104510166
285 0 1 0 1
286 1 2 0 0.450706895489834 1 0.549293104510166
287 1 2 0 0.450706895489834 1 0.549293104510166
288 1 2 0 0.450706895489834 1 0.549293104510166
289 1 2 0 0.450706895489834 1 0.549293104510166
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) $s(42)) and($a(0) $s(95)) and($a(3) $s(44))) : Bernoulli($c(0.52495170845405))) ($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) $s(42)) and($a(0) $s(95)) and($a(3) $s(44))) : $c(1)) ($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 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 0.47504829154595 1 0.52495170845405
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 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 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 0.47504829154595 1 0.52495170845405
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 0.47504829154595 1 0.52495170845405
53 1 2 0 0.47504829154595 1 0.52495170845405
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 1 2 0 0.47504829154595 1 0.52495170845405
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 0.47504829154595 1 0.52495170845405
92 0 1 0 1
93 1 2 0 0.47504829154595 1 0.52495170845405
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 0 1 0 1
121 1 2 0 0.47504829154595 1 0.52495170845405
122 1 2 0 0.47504829154595 1 0.52495170845405
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 0.47504829154595 1 0.52495170845405
132 1 2 0 0.47504829154595 1 0.52495170845405
133 1 2 0 0.47504829154595 1 0.52495170845405
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 0 1 0 1
163 0 1 0 1
164 1 2 0 0.47504829154595 1 0.52495170845405
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 0 1 0 1
173 1 2 0 0.47504829154595 1 0.52495170845405
174 1 2 0 0.47504829154595 1 0.52495170845405
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 0 1 0 1
201 0 1 0 1
202 1 2 0 0.47504829154595 1 0.52495170845405
203 0 1 0 1
204 1 2 0 0.47504829154595 1 0.52495170845405
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 0.47504829154595 1 0.52495170845405
213 1 2 0 0.47504829154595 1 0.52495170845405
214 1 2 0 0.47504829154595 1 0.52495170845405
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 0.47504829154595 1 0.52495170845405
242 0 1 0 1
243 0 1 0 1
244 1 2 0 0.47504829154595 1 0.52495170845405
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 0.47504829154595 1 0.52495170845405
252 0 1 0 1
253 1 2 0 0.47504829154595 1 0.52495170845405
254 1 2 0 0.47504829154595 1 0.52495170845405
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 0 1 0 1
281 1 2 0 0.47504829154595 1 0.52495170845405
282 1 2 0 0.47504829154595 1 0.52495170845405
283 0 1 0 1
284 1 2 0 0.47504829154595 1 0.52495170845405
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 0 1 0 1
291 1 2 0 0.47504829154595 1 0.52495170845405
292 1 2 0 0.47504829154595 1 0.52495170845405
293 1 2 0 0.47504829154595 1 0.52495170845405
294 1 2 0 0.47504829154595 1 0.52495170845405
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
2
## name
robot-at(x105, y27)
## 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) $s(41)) and($a(2) $s(1)) and($a(0) $s(96)) and($a(3) $s(45))) : Bernoulli($c(0.532961177590646))) ($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) $s(41)) and($a(2) $s(1)) and($a(0) $s(96)) and($a(3) $s(45))) : $c(1)) ($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 1 2 0 0.467038822409354 1 0.532961177590646
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 0.467038822409354 1 0.532961177590646
24 0 1 0 1
25 0 1 0 1
26 0 1 0 1
27 1 2 0 0.467038822409354 1 0.532961177590646
28 1 2 0 0.467038822409354 1 0.532961177590646
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 0.467038822409354 1 0.532961177590646
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 1 2 0 0.467038822409354 1 0.532961177590646
87 1 2 0 0.467038822409354 1 0.532961177590646
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 0.467038822409354 1 0.532961177590646
102 0 1 0 1
103 1 2 0 0.467038822409354 1 0.532961177590646
104 0 1 0 1
105 0 1 0 1
106 1 2 0 0.467038822409354 1 0.532961177590646
107 1 2 0 0.467038822409354 1 0.532961177590646
108 1 2 0 0.467038822409354 1 0.532961177590646
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 0.467038822409354 1 0.532961177590646
165 0 1 0 1
166 0 1 0 1
167 1 2 0 0.467038822409354 1 0.532961177590646
168 0 1 0 1
169 1 2 0 0.467038822409354 1 0.532961177590646
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 0.467038822409354 1 0.532961177590646
184 1 2 0 0.467038822409354 1 0.532961177590646
185 0 1 0 1
186 0 1 0 1
187 1 2 0 0.467038822409354 1 0.532961177590646
188 1 2 0 0.467038822409354 1 0.532961177590646
189 1 2 0 0.467038822409354 1 0.532961177590646
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 0.467038822409354 1 0.532961177590646
242 0 1 0 1
243 0 1 0 1
244 1 2 0 0.467038822409354 1 0.532961177590646
245 0 1 0 1
246 1 2 0 0.467038822409354 1 0.532961177590646
247 1 2 0 0.467038822409354 1 0.532961177590646
248 0 1 0 1
249 1 2 0 0.467038822409354 1 0.532961177590646
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 0.467038822409354 1 0.532961177590646
262 0 1 0 1
263 1 2 0 0.467038822409354 1 0.532961177590646
264 1 2 0 0.467038822409354 1 0.532961177590646
265 0 1 0 1
266 1 2 0 0.467038822409354 1 0.532961177590646
267 1 2 0 0.467038822409354 1 0.532961177590646
268 1 2 0 0.467038822409354 1 0.532961177590646
269 1 2 0 0.467038822409354 1 0.532961177590646
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, y15)
## 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) $s(2)) and($a(2) $s(44)) and($a(0) $s(40)) and($a(3) $s(49))) : Bernoulli($c(0.478165721324714))) ($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) $s(2)) and($a(2) $s(44)) and($a(0) $s(40)) and($a(3) $s(49))) : $c(0)) ($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 1 0 1
8 0 2 0 0.521834278675286 1 0.478165721324714
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 0.521834278675286 1 0.478165721324714
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.521834278675286 1 0.478165721324714
29 0 2 0 0.521834278675286 1 0.478165721324714
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 0.521834278675286 1 0.478165721324714
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.521834278675286 1 0.478165721324714
88 0 2 0 0.521834278675286 1 0.478165721324714
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 0.521834278675286 1 0.478165721324714
103 0 1 0 1
104 0 2 0 0.521834278675286 1 0.478165721324714
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.521834278675286 1 0.478165721324714
108 0 2 0 0.521834278675286 1 0.478165721324714
109 0 2 0 0.521834278675286 1 0.478165721324714
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 0.521834278675286 1 0.478165721324714
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.521834278675286 1 0.478165721324714
167 0 1 0 1
168 0 2 0 0.521834278675286 1 0.478165721324714
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 0.521834278675286 1 0.478165721324714
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.521834278675286 1 0.478165721324714
185 0 1 0 1
186 0 2 0 0.521834278675286 1 0.478165721324714
187 0 1 0 1
188 0 2 0 0.521834278675286 1 0.478165721324714
189 0 2 0 0.521834278675286 1 0.478165721324714
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 0.521834278675286 1 0.478165721324714
242 0 2 0 0.521834278675286 1 0.478165721324714
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.521834278675286 1 0.478165721324714
247 0 2 0 0.521834278675286 1 0.478165721324714
248 0 2 0 0.521834278675286 1 0.478165721324714
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 0.521834278675286 1 0.478165721324714
262 0 2 0 0.521834278675286 1 0.478165721324714
263 0 1 0 1
264 0 2 0 0.521834278675286 1 0.478165721324714
265 0 1 0 1
266 0 2 0 0.521834278675286 1 0.478165721324714
267 0 2 0 0.521834278675286 1 0.478165721324714
268 0 2 0 0.521834278675286 1 0.478165721324714
269 0 2 0 0.521834278675286 1 0.478165721324714
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(x126, y20)
## 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) $s(43)) and($a(2) $s(45)) and($a(0) $s(41)) and($a(3) $s(50))) : Bernoulli($c(0.497029932019742))) ($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) $s(43)) and($a(2) $s(45)) and($a(0) $s(41)) and($a(3) $s(50))) : $c(0)) ($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 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 0.502970067980258 1 0.497029932019742
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 0.502970067980258 1 0.497029932019742
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 0.502970067980258 1 0.497029932019742
34 0 2 0 0.502970067980258 1 0.497029932019742
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 0 2 0 0.502970067980258 1 0.497029932019742
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 0 2 0 0.502970067980258 1 0.497029932019742
93 0 1 0 1
94 0 2 0 0.502970067980258 1 0.497029932019742
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 0.502970067980258 1 0.497029932019742
103 0 2 0 0.502970067980258 1 0.497029932019742
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 0 1 0 1
112 0 2 0 0.502970067980258 1 0.497029932019742
113 0 2 0 0.502970067980258 1 0.497029932019742
114 0 2 0 0.502970067980258 1 0.497029932019742
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 2 0 0.502970067980258 1 0.497029932019742
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 0 2 0 0.502970067980258 1 0.497029932019742
172 0 1 0 1
173 0 1 0 1
174 0 2 0 0.502970067980258 1 0.497029932019742
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 0.502970067980258 1 0.497029932019742
182 0 1 0 1
183 0 2 0 0.502970067980258 1 0.497029932019742
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 0 2 0 0.502970067980258 1 0.497029932019742
192 0 1 0 1
193 0 2 0 0.502970067980258 1 0.497029932019742
194 0 2 0 0.502970067980258 1 0.497029932019742
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 0 2 0 0.502970067980258 1 0.497029932019742
242 0 2 0 0.502970067980258 1 0.497029932019742
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 0 2 0 0.502970067980258 1 0.497029932019742
252 0 2 0 0.502970067980258 1 0.497029932019742
253 0 1 0 1
254 0 2 0 0.502970067980258 1 0.497029932019742
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 0.502970067980258 1 0.497029932019742
262 0 2 0 0.502970067980258 1 0.497029932019742
263 0 2 0 0.502970067980258 1 0.497029932019742
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 0 1 0 1
271 0 2 0 0.502970067980258 1 0.497029932019742
272 0 2 0 0.502970067980258 1 0.497029932019742
273 0 2 0 0.502970067980258 1 0.497029932019742
274 0 2 0 0.502970067980258 1 0.497029932019742
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
5
## name
robot-at(x126, y27)
## 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) $s(3)) and($a(0) $s(42)) and($a(3) $s(51))) : Bernoulli($c(0.478242760328086))) ($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) $s(3)) and($a(0) $s(42)) and($a(3) $s(51))) : $c(0)) ($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 0 2 0 0.521757239671914 1 0.478242760328086
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 0.521757239671914 1 0.478242760328086
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.521757239671914 1 0.478242760328086
28 0 1 0 1
29 0 2 0 0.521757239671914 1 0.478242760328086
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 0.521757239671914 1 0.478242760328086
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.521757239671914 1 0.478242760328086
48 0 2 0 0.521757239671914 1 0.478242760328086
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 0.521757239671914 1 0.478242760328086
64 0 2 0 0.521757239671914 1 0.478242760328086
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.521757239671914 1 0.478242760328086
68 0 2 0 0.521757239671914 1 0.478242760328086
69 0 2 0 0.521757239671914 1 0.478242760328086
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 0.521757239671914 1 0.478242760328086
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.521757239671914 1 0.478242760328086
167 0 2 0 0.521757239671914 1 0.478242760328086
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 0.521757239671914 1 0.478242760328086
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.521757239671914 1 0.478242760328086
185 0 1 0 1
186 0 2 0 0.521757239671914 1 0.478242760328086
187 0 2 0 0.521757239671914 1 0.478242760328086
188 0 1 0 1
189 0 2 0 0.521757239671914 1 0.478242760328086
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 0.521757239671914 1 0.478242760328086
202 0 1 0 1
203 0 2 0 0.521757239671914 1 0.478242760328086
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.521757239671914 1 0.478242760328086
207 0 2 0 0.521757239671914 1 0.478242760328086
208 0 2 0 0.521757239671914 1 0.478242760328086
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 0.521757239671914 1 0.478242760328086
222 0 1 0 1
223 0 2 0 0.521757239671914 1 0.478242760328086
224 0 2 0 0.521757239671914 1 0.478242760328086
225 0 1 0 1
226 0 2 0 0.521757239671914 1 0.478242760328086
227 0 2 0 0.521757239671914 1 0.478242760328086
228 0 2 0 0.521757239671914 1 0.478242760328086
229 0 2 0 0.521757239671914 1 0.478242760328086
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
6
## name
robot-at(x14, 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) $s(4)) and($a(2) $s(47)) and($a(0) $s(97)) and($a(3) $s(58))) : Bernoulli($c(0.847501977395855))) ($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) $s(4)) and($a(2) $s(47)) and($a(0) $s(97)) and($a(3) $s(58))) : $c(1)) ($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 1 2 0 0.152498022604145 1 0.847501977395855
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 0.152498022604145 1 0.847501977395855
43 0 1 0 1
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 1 2 0 0.152498022604145 1 0.847501977395855
48 1 2 0 0.152498022604145 1 0.847501977395855
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 0.152498022604145 1 0.847501977395855
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 1 2 0 0.152498022604145 1 0.847501977395855
87 0 1 0 1
88 1 2 0 0.152498022604145 1 0.847501977395855
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 0.152498022604145 1 0.847501977395855
122 1 2 0 0.152498022604145 1 0.847501977395855
123 0 1 0 1
124 0 1 0 1
125 0 1 0 1
126 1 2 0 0.152498022604145 1 0.847501977395855
127 1 2 0 0.152498022604145 1 0.847501977395855
128 1 2 0 0.152498022604145 1 0.847501977395855
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 0.152498022604145 1 0.847501977395855
165 0 1 0 1
166 0 1 0 1
167 0 1 0 1
168 1 2 0 0.152498022604145 1 0.847501977395855
169 1 2 0 0.152498022604145 1 0.847501977395855
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 0.152498022604145 1 0.847501977395855
203 0 1 0 1
204 1 2 0 0.152498022604145 1 0.847501977395855
205 0 1 0 1
206 0 1 0 1
207 1 2 0 0.152498022604145 1 0.847501977395855
208 1 2 0 0.152498022604145 1 0.847501977395855
209 1 2 0 0.152498022604145 1 0.847501977395855
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 0.152498022604145 1 0.847501977395855
242 0 1 0 1
243 0 1 0 1
244 1 2 0 0.152498022604145 1 0.847501977395855
245 0 1 0 1
246 1 2 0 0.152498022604145 1 0.847501977395855
247 0 1 0 1
248 1 2 0 0.152498022604145 1 0.847501977395855
249 1 2 0 0.152498022604145 1 0.847501977395855
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 0.152498022604145 1 0.847501977395855
282 1 2 0 0.152498022604145 1 0.847501977395855
283 0 1 0 1
284 1 2 0 0.152498022604145 1 0.847501977395855
285 0 1 0 1
286 1 2 0 0.152498022604145 1 0.847501977395855
287 1 2 0 0.152498022604145 1 0.847501977395855
288 1 2 0 0.152498022604145 1 0.847501977395855
289 1 2 0 0.152498022604145 1 0.847501977395855
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(x14, 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) $s(48)) and($a(0) $s(98)) and($a(3) $s(59))) : Bernoulli($c(0.854160605978809))) ($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) $s(48)) and($a(0) $s(98)) and($a(3) $s(59))) : $c(1)) ($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 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 0.145839394021191 1 0.854160605978809
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 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 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 0.145839394021191 1 0.854160605978809
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 0.145839394021191 1 0.854160605978809
53 1 2 0 0.145839394021191 1 0.854160605978809
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 1 2 0 0.145839394021191 1 0.854160605978809
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 0.145839394021191 1 0.854160605978809
92 0 1 0 1
93 1 2 0 0.145839394021191 1 0.854160605978809
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 0 1 0 1
121 1 2 0 0.145839394021191 1 0.854160605978809
122 1 2 0 0.145839394021191 1 0.854160605978809
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 0.145839394021191 1 0.854160605978809
132 1 2 0 0.145839394021191 1 0.854160605978809
133 1 2 0 0.145839394021191 1 0.854160605978809
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 0 1 0 1
163 0 1 0 1
164 1 2 0 0.145839394021191 1 0.854160605978809
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 0 1 0 1
173 1 2 0 0.145839394021191 1 0.854160605978809
174 1 2 0 0.145839394021191 1 0.854160605978809
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 0 1 0 1
201 0 1 0 1
202 1 2 0 0.145839394021191 1 0.854160605978809
203 0 1 0 1
204 1 2 0 0.145839394021191 1 0.854160605978809
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 0.145839394021191 1 0.854160605978809
213 1 2 0 0.145839394021191 1 0.854160605978809
214 1 2 0 0.145839394021191 1 0.854160605978809
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 0.145839394021191 1 0.854160605978809
242 0 1 0 1
243 0 1 0 1
244 1 2 0 0.145839394021191 1 0.854160605978809
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 0.145839394021191 1 0.854160605978809
252 0 1 0 1
253 1 2 0 0.145839394021191 1 0.854160605978809
254 1 2 0 0.145839394021191 1 0.854160605978809
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 0 1 0 1
281 1 2 0 0.145839394021191 1 0.854160605978809
282 1 2 0 0.145839394021191 1 0.854160605978809
283 0 1 0 1
284 1 2 0 0.145839394021191 1 0.854160605978809
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 0 1 0 1
291 1 2 0 0.145839394021191 1 0.854160605978809
292 1 2 0 0.145839394021191 1 0.854160605978809
293 1 2 0 0.145839394021191 1 0.854160605978809
294 1 2 0 0.145839394021191 1 0.854160605978809
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
8
## name
robot-at(x14, y27)
## 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) $s(47)) and($a(2) $s(5)) and($a(0) $s(99)) and($a(3) $s(60))) : Bernoulli($c(0.884480116937898))) ($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) $s(47)) and($a(2) $s(5)) and($a(0) $s(99)) and($a(3) $s(60))) : $c(1)) ($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 1 2 0 0.115519883062102 1 0.884480116937898
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 0.115519883062102 1 0.884480116937898
24 0 1 0 1
25 0 1 0 1
26 0 1 0 1
27 1 2 0 0.115519883062102 1 0.884480116937898
28 1 2 0 0.115519883062102 1 0.884480116937898
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 0.115519883062102 1 0.884480116937898
82 0 1 0 1
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 1 2 0 0.115519883062102 1 0.884480116937898
87 1 2 0 0.115519883062102 1 0.884480116937898
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 0.115519883062102 1 0.884480116937898
102 0 1 0 1
103 1 2 0 0.115519883062102 1 0.884480116937898
104 0 1 0 1
105 0 1 0 1
106 1 2 0 0.115519883062102 1 0.884480116937898
107 1 2 0 0.115519883062102 1 0.884480116937898
108 1 2 0 0.115519883062102 1 0.884480116937898
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 0.115519883062102 1 0.884480116937898
165 0 1 0 1
166 0 1 0 1
167 1 2 0 0.115519883062102 1 0.884480116937898
168 0 1 0 1
169 1 2 0 0.115519883062102 1 0.884480116937898
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 0.115519883062102 1 0.884480116937898
184 1 2 0 0.115519883062102 1 0.884480116937898
185 0 1 0 1
186 0 1 0 1
187 1 2 0 0.115519883062102 1 0.884480116937898
188 1 2 0 0.115519883062102 1 0.884480116937898
189 1 2 0 0.115519883062102 1 0.884480116937898
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 0.115519883062102 1 0.884480116937898
242 0 1 0 1
243 0 1 0 1
244 1 2 0 0.115519883062102 1 0.884480116937898
245 0 1 0 1
246 1 2 0 0.115519883062102 1 0.884480116937898
247 1 2 0 0.115519883062102 1 0.884480116937898
248 0 1 0 1
249 1 2 0 0.115519883062102 1 0.884480116937898
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 0.115519883062102 1 0.884480116937898
262 0 1 0 1
263 1 2 0 0.115519883062102 1 0.884480116937898
264 1 2 0 0.115519883062102 1 0.884480116937898
265 0 1 0 1
266 1 2 0 0.115519883062102 1 0.884480116937898
267 1 2 0 0.115519883062102 1 0.884480116937898
268 1 2 0 0.115519883062102 1 0.884480116937898
269 1 2 0 0.115519883062102 1 0.884480116937898
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(x149, y15)
## 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) $s(6)) and($a(2) $s(50)) and($a(0) $s(43)) and($a(3) $s(52))) : Bernoulli($c(0.451928643999915))) ($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) $s(6)) and($a(2) $s(50)) and($a(0) $s(43)) and($a(3) $s(52))) : $c(0)) ($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 1 0 1
8 0 2 0 0.548071356000085 1 0.451928643999915
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 0.548071356000085 1 0.451928643999915
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.548071356000085 1 0.451928643999915
29 0 2 0 0.548071356000085 1 0.451928643999915
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 0.548071356000085 1 0.451928643999915
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.548071356000085 1 0.451928643999915
88 0 2 0 0.548071356000085 1 0.451928643999915
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 0.548071356000085 1 0.451928643999915
103 0 1 0 1
104 0 2 0 0.548071356000085 1 0.451928643999915
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.548071356000085 1 0.451928643999915
108 0 2 0 0.548071356000085 1 0.451928643999915
109 0 2 0 0.548071356000085 1 0.451928643999915
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 0.548071356000085 1 0.451928643999915
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.548071356000085 1 0.451928643999915
167 0 1 0 1
168 0 2 0 0.548071356000085 1 0.451928643999915
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 0.548071356000085 1 0.451928643999915
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.548071356000085 1 0.451928643999915
185 0 1 0 1
186 0 2 0 0.548071356000085 1 0.451928643999915
187 0 1 0 1
188 0 2 0 0.548071356000085 1 0.451928643999915
189 0 2 0 0.548071356000085 1 0.451928643999915
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 0.548071356000085 1 0.451928643999915
242 0 2 0 0.548071356000085 1 0.451928643999915
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.548071356000085 1 0.451928643999915
247 0 2 0 0.548071356000085 1 0.451928643999915
248 0 2 0 0.548071356000085 1 0.451928643999915
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 0.548071356000085 1 0.451928643999915
262 0 2 0 0.548071356000085 1 0.451928643999915
263 0 1 0 1
264 0 2 0 0.548071356000085 1 0.451928643999915
265 0 1 0 1
266 0 2 0 0.548071356000085 1 0.451928643999915
267 0 2 0 0.548071356000085 1 0.451928643999915
268 0 2 0 0.548071356000085 1 0.451928643999915
269 0 2 0 0.548071356000085 1 0.451928643999915
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(x149, y20)
## 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) $s(49)) and($a(2) $s(51)) and($a(0) $s(44)) and($a(3) $s(53))) : Bernoulli($c(0.443346579117995))) ($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) $s(49)) and($a(2) $s(51)) and($a(0) $s(44)) and($a(3) $s(53))) : $c(0)) ($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 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 0.556653420882005 1 0.443346579117995
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 0.556653420882005 1 0.443346579117995
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 0.556653420882005 1 0.443346579117995
34 0 2 0 0.556653420882005 1 0.443346579117995
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 0 2 0 0.556653420882005 1 0.443346579117995
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 0 2 0 0.556653420882005 1 0.443346579117995
93 0 1 0 1
94 0 2 0 0.556653420882005 1 0.443346579117995
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 0.556653420882005 1 0.443346579117995
103 0 2 0 0.556653420882005 1 0.443346579117995
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 0 1 0 1
112 0 2 0 0.556653420882005 1 0.443346579117995
113 0 2 0 0.556653420882005 1 0.443346579117995
114 0 2 0 0.556653420882005 1 0.443346579117995
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 2 0 0.556653420882005 1 0.443346579117995
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 0 2 0 0.556653420882005 1 0.443346579117995
172 0 1 0 1
173 0 1 0 1
174 0 2 0 0.556653420882005 1 0.443346579117995
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 0.556653420882005 1 0.443346579117995
182 0 1 0 1
183 0 2 0 0.556653420882005 1 0.443346579117995
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 0 2 0 0.556653420882005 1 0.443346579117995
192 0 1 0 1
193 0 2 0 0.556653420882005 1 0.443346579117995
194 0 2 0 0.556653420882005 1 0.443346579117995
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 0 2 0 0.556653420882005 1 0.443346579117995
242 0 2 0 0.556653420882005 1 0.443346579117995
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 0 2 0 0.556653420882005 1 0.443346579117995
252 0 2 0 0.556653420882005 1 0.443346579117995
253 0 1 0 1
254 0 2 0 0.556653420882005 1 0.443346579117995
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 0.556653420882005 1 0.443346579117995
262 0 2 0 0.556653420882005 1 0.443346579117995
263 0 2 0 0.556653420882005 1 0.443346579117995
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 0 1 0 1
271 0 2 0 0.556653420882005 1 0.443346579117995
272 0 2 0 0.556653420882005 1 0.443346579117995
273 0 2 0 0.556653420882005 1 0.443346579117995
274 0 2 0 0.556653420882005 1 0.443346579117995
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
11
## name
robot-at(x149, y27)
## 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) $s(7)) and($a(0) $s(45)) and($a(3) $s(54))) : Bernoulli($c(0.441061044602018))) ($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) $s(7)) and($a(0) $s(45)) and($a(3) $s(54))) : $c(0)) ($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 0.558938955397982 1 0.441061044602018
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 0.558938955397982 1 0.441061044602018
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.558938955397982 1 0.441061044602018
28 0 1 0 1
29 0 2 0 0.558938955397982 1 0.441061044602018
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 0.558938955397982 1 0.441061044602018
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.558938955397982 1 0.441061044602018
48 0 2 0 0.558938955397982 1 0.441061044602018
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 0.558938955397982 1 0.441061044602018
64 0 2 0 0.558938955397982 1 0.441061044602018
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.558938955397982 1 0.441061044602018
68 0 2 0 0.558938955397982 1 0.441061044602018
69 0 2 0 0.558938955397982 1 0.441061044602018
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 0.558938955397982 1 0.441061044602018
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.558938955397982 1 0.441061044602018
167 0 2 0 0.558938955397982 1 0.441061044602018
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 0.558938955397982 1 0.441061044602018
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.558938955397982 1 0.441061044602018
185 0 1 0 1
186 0 2 0 0.558938955397982 1 0.441061044602018
187 0 2 0 0.558938955397982 1 0.441061044602018
188 0 1 0 1
189 0 2 0 0.558938955397982 1 0.441061044602018
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 0.558938955397982 1 0.441061044602018
202 0 1 0 1
203 0 2 0 0.558938955397982 1 0.441061044602018
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.558938955397982 1 0.441061044602018
207 0 2 0 0.558938955397982 1 0.441061044602018
208 0 2 0 0.558938955397982 1 0.441061044602018
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 0.558938955397982 1 0.441061044602018
222 0 1 0 1
223 0 2 0 0.558938955397982 1 0.441061044602018
224 0 2 0 0.558938955397982 1 0.441061044602018
225 0 1 0 1
226 0 2 0 0.558938955397982 1 0.441061044602018
227 0 2 0 0.558938955397982 1 0.441061044602018
228 0 2 0 0.558938955397982 1 0.441061044602018
229 0 2 0 0.558938955397982 1 0.441061044602018
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(x174, 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) $s(8)) and($a(2) $s(53)) and($a(0) $s(49)) and($a(3) $s(55))) : Bernoulli($c(0.386616020708492))) ($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) $s(8)) and($a(2) $s(53)) and($a(0) $s(49)) and($a(3) $s(55))) : $c(0)) ($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 0 2 0 0.613383979291508 1 0.386616020708492
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 0.613383979291508 1 0.386616020708492
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.613383979291508 1 0.386616020708492
29 0 2 0 0.613383979291508 1 0.386616020708492
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 0.613383979291508 1 0.386616020708492
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.613383979291508 1 0.386616020708492
88 0 2 0 0.613383979291508 1 0.386616020708492
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 0.613383979291508 1 0.386616020708492
103 0 1 0 1
104 0 2 0 0.613383979291508 1 0.386616020708492
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.613383979291508 1 0.386616020708492
108 0 2 0 0.613383979291508 1 0.386616020708492
109 0 2 0 0.613383979291508 1 0.386616020708492
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 0.613383979291508 1 0.386616020708492
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.613383979291508 1 0.386616020708492
167 0 1 0 1
168 0 2 0 0.613383979291508 1 0.386616020708492
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 0.613383979291508 1 0.386616020708492
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.613383979291508 1 0.386616020708492
185 0 1 0 1
186 0 2 0 0.613383979291508 1 0.386616020708492
187 0 1 0 1
188 0 2 0 0.613383979291508 1 0.386616020708492
189 0 2 0 0.613383979291508 1 0.386616020708492
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 0.613383979291508 1 0.386616020708492
242 0 2 0 0.613383979291508 1 0.386616020708492
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.613383979291508 1 0.386616020708492
247 0 2 0 0.613383979291508 1 0.386616020708492
248 0 2 0 0.613383979291508 1 0.386616020708492
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 0.613383979291508 1 0.386616020708492
262 0 2 0 0.613383979291508 1 0.386616020708492
263 0 1 0 1
264 0 2 0 0.613383979291508 1 0.386616020708492
265 0 1 0 1
266 0 2 0 0.613383979291508 1 0.386616020708492
267 0 2 0 0.613383979291508 1 0.386616020708492
268 0 2 0 0.613383979291508 1 0.386616020708492
269 0 2 0 0.613383979291508 1 0.386616020708492
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(x174, 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) $s(54)) and($a(0) $s(50)) and($a(3) $s(56))) : Bernoulli($c(0.42091350485632))) ($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) $s(54)) and($a(0) $s(50)) and($a(3) $s(56))) : $c(0)) ($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 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 0.57908649514368 1 0.42091350485632
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 0.57908649514368 1 0.42091350485632
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 0.57908649514368 1 0.42091350485632
34 0 2 0 0.57908649514368 1 0.42091350485632
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 0 2 0 0.57908649514368 1 0.42091350485632
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 0 2 0 0.57908649514368 1 0.42091350485632
93 0 1 0 1
94 0 2 0 0.57908649514368 1 0.42091350485632
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 0.57908649514368 1 0.42091350485632
103 0 2 0 0.57908649514368 1 0.42091350485632
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 0 1 0 1
112 0 2 0 0.57908649514368 1 0.42091350485632
113 0 2 0 0.57908649514368 1 0.42091350485632
114 0 2 0 0.57908649514368 1 0.42091350485632
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 2 0 0.57908649514368 1 0.42091350485632
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 0 2 0 0.57908649514368 1 0.42091350485632
172 0 1 0 1
173 0 1 0 1
174 0 2 0 0.57908649514368 1 0.42091350485632
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 0.57908649514368 1 0.42091350485632
182 0 1 0 1
183 0 2 0 0.57908649514368 1 0.42091350485632
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 0 2 0 0.57908649514368 1 0.42091350485632
192 0 1 0 1
193 0 2 0 0.57908649514368 1 0.42091350485632
194 0 2 0 0.57908649514368 1 0.42091350485632
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 0 2 0 0.57908649514368 1 0.42091350485632
242 0 2 0 0.57908649514368 1 0.42091350485632
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 0 2 0 0.57908649514368 1 0.42091350485632
252 0 2 0 0.57908649514368 1 0.42091350485632
253 0 1 0 1
254 0 2 0 0.57908649514368 1 0.42091350485632
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 0.57908649514368 1 0.42091350485632
262 0 2 0 0.57908649514368 1 0.42091350485632
263 0 2 0 0.57908649514368 1 0.42091350485632
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 0 1 0 1
271 0 2 0 0.57908649514368 1 0.42091350485632
272 0 2 0 0.57908649514368 1 0.42091350485632
273 0 2 0 0.57908649514368 1 0.42091350485632
274 0 2 0 0.57908649514368 1 0.42091350485632
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
14
## name
robot-at(x174, y27)
## 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) $s(53)) and($a(2) $s(9)) and($a(0) $s(51)) and($a(3) $s(57))) : Bernoulli($c(0.375744729547908))) ($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) $s(53)) and($a(2) $s(9)) and($a(0) $s(51)) and($a(3) $s(57))) : $c(0)) ($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 2 0 0.624255270452092 1 0.375744729547908
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 0.624255270452092 1 0.375744729547908
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.624255270452092 1 0.375744729547908
28 0 1 0 1
29 0 2 0 0.624255270452092 1 0.375744729547908
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 0.624255270452092 1 0.375744729547908
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.624255270452092 1 0.375744729547908
48 0 2 0 0.624255270452092 1 0.375744729547908
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 0.624255270452092 1 0.375744729547908
64 0 2 0 0.624255270452092 1 0.375744729547908
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.624255270452092 1 0.375744729547908
68 0 2 0 0.624255270452092 1 0.375744729547908
69 0 2 0 0.624255270452092 1 0.375744729547908
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 0.624255270452092 1 0.375744729547908
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.624255270452092 1 0.375744729547908
167 0 2 0 0.624255270452092 1 0.375744729547908
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 0.624255270452092 1 0.375744729547908
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.624255270452092 1 0.375744729547908
185 0 1 0 1
186 0 2 0 0.624255270452092 1 0.375744729547908
187 0 2 0 0.624255270452092 1 0.375744729547908
188 0 1 0 1
189 0 2 0 0.624255270452092 1 0.375744729547908
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 0.624255270452092 1 0.375744729547908
202 0 1 0 1
203 0 2 0 0.624255270452092 1 0.375744729547908
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.624255270452092 1 0.375744729547908
207 0 2 0 0.624255270452092 1 0.375744729547908
208 0 2 0 0.624255270452092 1 0.375744729547908
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 0.624255270452092 1 0.375744729547908
222 0 1 0 1
223 0 2 0 0.624255270452092 1 0.375744729547908
224 0 2 0 0.624255270452092 1 0.375744729547908
225 0 1 0 1
226 0 2 0 0.624255270452092 1 0.375744729547908
227 0 2 0 0.624255270452092 1 0.375744729547908
228 0 2 0 0.624255270452092 1 0.375744729547908
229 0 2 0 0.624255270452092 1 0.375744729547908
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
15
## name
robot-at(x201, y15)
## 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) $s(10)) and($a(2) $s(56)) and($a(0) $s(52)) and($a(3) $s(61))) : Bernoulli($c(0.340588003495022))) ($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) $s(10)) and($a(2) $s(56)) and($a(0) $s(52)) and($a(3) $s(61))) : $c(0)) ($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 1 0 1
8 0 2 0 0.659411996504978 1 0.340588003495022
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 0.659411996504978 1 0.340588003495022
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.659411996504978 1 0.340588003495022
29 0 2 0 0.659411996504978 1 0.340588003495022
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 0.659411996504978 1 0.340588003495022
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.659411996504978 1 0.340588003495022
88 0 2 0 0.659411996504978 1 0.340588003495022
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 0.659411996504978 1 0.340588003495022
103 0 1 0 1
104 0 2 0 0.659411996504978 1 0.340588003495022
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.659411996504978 1 0.340588003495022
108 0 2 0 0.659411996504978 1 0.340588003495022
109 0 2 0 0.659411996504978 1 0.340588003495022
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 0.659411996504978 1 0.340588003495022
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.659411996504978 1 0.340588003495022
167 0 1 0 1
168 0 2 0 0.659411996504978 1 0.340588003495022
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 0.659411996504978 1 0.340588003495022
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.659411996504978 1 0.340588003495022
185 0 1 0 1
186 0 2 0 0.659411996504978 1 0.340588003495022
187 0 1 0 1
188 0 2 0 0.659411996504978 1 0.340588003495022
189 0 2 0 0.659411996504978 1 0.340588003495022
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 0.659411996504978 1 0.340588003495022
242 0 2 0 0.659411996504978 1 0.340588003495022
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.659411996504978 1 0.340588003495022
247 0 2 0 0.659411996504978 1 0.340588003495022
248 0 2 0 0.659411996504978 1 0.340588003495022
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 0.659411996504978 1 0.340588003495022
262 0 2 0 0.659411996504978 1 0.340588003495022
263 0 1 0 1
264 0 2 0 0.659411996504978 1 0.340588003495022
265 0 1 0 1
266 0 2 0 0.659411996504978 1 0.340588003495022
267 0 2 0 0.659411996504978 1 0.340588003495022
268 0 2 0 0.659411996504978 1 0.340588003495022
269 0 2 0 0.659411996504978 1 0.340588003495022
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(x201, y20)
## 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) $s(55)) and($a(2) $s(57)) and($a(0) $s(53)) and($a(3) $s(62))) : Bernoulli($c(0.352674931385799))) ($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) $s(55)) and($a(2) $s(57)) and($a(0) $s(53)) and($a(3) $s(62))) : $c(0)) ($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 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 0.647325068614201 1 0.352674931385799
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 0.647325068614201 1 0.352674931385799
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 0.647325068614201 1 0.352674931385799
34 0 2 0 0.647325068614201 1 0.352674931385799
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 0 2 0 0.647325068614201 1 0.352674931385799
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 0 2 0 0.647325068614201 1 0.352674931385799
93 0 1 0 1
94 0 2 0 0.647325068614201 1 0.352674931385799
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 0.647325068614201 1 0.352674931385799
103 0 2 0 0.647325068614201 1 0.352674931385799
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 0 1 0 1
112 0 2 0 0.647325068614201 1 0.352674931385799
113 0 2 0 0.647325068614201 1 0.352674931385799
114 0 2 0 0.647325068614201 1 0.352674931385799
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 2 0 0.647325068614201 1 0.352674931385799
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 0 2 0 0.647325068614201 1 0.352674931385799
172 0 1 0 1
173 0 1 0 1
174 0 2 0 0.647325068614201 1 0.352674931385799
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 0.647325068614201 1 0.352674931385799
182 0 1 0 1
183 0 2 0 0.647325068614201 1 0.352674931385799
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 0 2 0 0.647325068614201 1 0.352674931385799
192 0 1 0 1
193 0 2 0 0.647325068614201 1 0.352674931385799
194 0 2 0 0.647325068614201 1 0.352674931385799
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 0 2 0 0.647325068614201 1 0.352674931385799
242 0 2 0 0.647325068614201 1 0.352674931385799
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 0 2 0 0.647325068614201 1 0.352674931385799
252 0 2 0 0.647325068614201 1 0.352674931385799
253 0 1 0 1
254 0 2 0 0.647325068614201 1 0.352674931385799
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 0.647325068614201 1 0.352674931385799
262 0 2 0 0.647325068614201 1 0.352674931385799
263 0 2 0 0.647325068614201 1 0.352674931385799
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 0 1 0 1
271 0 2 0 0.647325068614201 1 0.352674931385799
272 0 2 0 0.647325068614201 1 0.352674931385799
273 0 2 0 0.647325068614201 1 0.352674931385799
274 0 2 0 0.647325068614201 1 0.352674931385799
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
17
## name
robot-at(x201, y27)
## 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) $s(11)) and($a(0) $s(54)) and($a(3) $s(63))) : Bernoulli($c(0.345376135879441))) ($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) $s(11)) and($a(0) $s(54)) and($a(3) $s(63))) : $c(0)) ($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 0.654623864120559 1 0.345376135879441
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 0.654623864120559 1 0.345376135879441
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.654623864120559 1 0.345376135879441
28 0 1 0 1
29 0 2 0 0.654623864120559 1 0.345376135879441
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 0.654623864120559 1 0.345376135879441
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.654623864120559 1 0.345376135879441
48 0 2 0 0.654623864120559 1 0.345376135879441
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 0.654623864120559 1 0.345376135879441
64 0 2 0 0.654623864120559 1 0.345376135879441
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.654623864120559 1 0.345376135879441
68 0 2 0 0.654623864120559 1 0.345376135879441
69 0 2 0 0.654623864120559 1 0.345376135879441
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 0.654623864120559 1 0.345376135879441
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.654623864120559 1 0.345376135879441
167 0 2 0 0.654623864120559 1 0.345376135879441
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 0.654623864120559 1 0.345376135879441
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.654623864120559 1 0.345376135879441
185 0 1 0 1
186 0 2 0 0.654623864120559 1 0.345376135879441
187 0 2 0 0.654623864120559 1 0.345376135879441
188 0 1 0 1
189 0 2 0 0.654623864120559 1 0.345376135879441
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 0.654623864120559 1 0.345376135879441
202 0 1 0 1
203 0 2 0 0.654623864120559 1 0.345376135879441
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.654623864120559 1 0.345376135879441
207 0 2 0 0.654623864120559 1 0.345376135879441
208 0 2 0 0.654623864120559 1 0.345376135879441
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 0.654623864120559 1 0.345376135879441
222 0 1 0 1
223 0 2 0 0.654623864120559 1 0.345376135879441
224 0 2 0 0.654623864120559 1 0.345376135879441
225 0 1 0 1
226 0 2 0 0.654623864120559 1 0.345376135879441
227 0 2 0 0.654623864120559 1 0.345376135879441
228 0 2 0 0.654623864120559 1 0.345376135879441
229 0 2 0 0.654623864120559 1 0.345376135879441
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(x21, 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) $s(12)) and($a(2) $s(59)) and($a(0) $s(46)) and($a(3) $s(70))) : Bernoulli($c(0.825867036651624))) ($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) $s(12)) and($a(2) $s(59)) and($a(0) $s(46)) and($a(3) $s(70))) : $c(1)) ($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 1 2 0 0.174132963348376 1 0.825867036651624
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 0.174132963348376 1 0.825867036651624
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 1 2 0 0.174132963348376 1 0.825867036651624
29 1 2 0 0.174132963348376 1 0.825867036651624
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 0.174132963348376 1 0.825867036651624
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 1 2 0 0.174132963348376 1 0.825867036651624
88 1 2 0 0.174132963348376 1 0.825867036651624
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 0.174132963348376 1 0.825867036651624
103 0 1 0 1
104 1 2 0 0.174132963348376 1 0.825867036651624
105 0 1 0 1
106 0 1 0 1
107 1 2 0 0.174132963348376 1 0.825867036651624
108 1 2 0 0.174132963348376 1 0.825867036651624
109 1 2 0 0.174132963348376 1 0.825867036651624
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 0.174132963348376 1 0.825867036651624
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 1 2 0 0.174132963348376 1 0.825867036651624
167 0 1 0 1
168 1 2 0 0.174132963348376 1 0.825867036651624
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 0.174132963348376 1 0.825867036651624
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.174132963348376 1 0.825867036651624
185 0 1 0 1
186 1 2 0 0.174132963348376 1 0.825867036651624
187 0 1 0 1
188 1 2 0 0.174132963348376 1 0.825867036651624
189 1 2 0 0.174132963348376 1 0.825867036651624
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 0.174132963348376 1 0.825867036651624
242 1 2 0 0.174132963348376 1 0.825867036651624
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 1 2 0 0.174132963348376 1 0.825867036651624
247 1 2 0 0.174132963348376 1 0.825867036651624
248 1 2 0 0.174132963348376 1 0.825867036651624
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 0.174132963348376 1 0.825867036651624
262 1 2 0 0.174132963348376 1 0.825867036651624
263 0 1 0 1
264 1 2 0 0.174132963348376 1 0.825867036651624
265 0 1 0 1
266 1 2 0 0.174132963348376 1 0.825867036651624
267 1 2 0 0.174132963348376 1 0.825867036651624
268 1 2 0 0.174132963348376 1 0.825867036651624
269 1 2 0 0.174132963348376 1 0.825867036651624
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(x21, 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) $s(60)) and($a(0) $s(47)) and($a(3) $s(71))) : Bernoulli($c(0.809848033185852))) ($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) $s(60)) and($a(0) $s(47)) and($a(3) $s(71))) : $c(1)) ($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 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 1 2 0 0.190151966814148 1 0.809848033185852
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 0.190151966814148 1 0.809848033185852
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 1 2 0 0.190151966814148 1 0.809848033185852
34 1 2 0 0.190151966814148 1 0.809848033185852
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 0.190151966814148 1 0.809848033185852
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 0.190151966814148 1 0.809848033185852
93 0 1 0 1
94 1 2 0 0.190151966814148 1 0.809848033185852
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 0.190151966814148 1 0.809848033185852
103 1 2 0 0.190151966814148 1 0.809848033185852
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 0 1 0 1
112 1 2 0 0.190151966814148 1 0.809848033185852
113 1 2 0 0.190151966814148 1 0.809848033185852
114 1 2 0 0.190151966814148 1 0.809848033185852
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 0.190151966814148 1 0.809848033185852
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 0.190151966814148 1 0.809848033185852
172 0 1 0 1
173 0 1 0 1
174 1 2 0 0.190151966814148 1 0.809848033185852
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 0.190151966814148 1 0.809848033185852
182 0 1 0 1
183 1 2 0 0.190151966814148 1 0.809848033185852
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 0.190151966814148 1 0.809848033185852
192 0 1 0 1
193 1 2 0 0.190151966814148 1 0.809848033185852
194 1 2 0 0.190151966814148 1 0.809848033185852
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 0.190151966814148 1 0.809848033185852
242 1 2 0 0.190151966814148 1 0.809848033185852
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 0.190151966814148 1 0.809848033185852
252 1 2 0 0.190151966814148 1 0.809848033185852
253 0 1 0 1
254 1 2 0 0.190151966814148 1 0.809848033185852
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 0.190151966814148 1 0.809848033185852
262 1 2 0 0.190151966814148 1 0.809848033185852
263 1 2 0 0.190151966814148 1 0.809848033185852
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 0 1 0 1
271 1 2 0 0.190151966814148 1 0.809848033185852
272 1 2 0 0.190151966814148 1 0.809848033185852
273 1 2 0 0.190151966814148 1 0.809848033185852
274 1 2 0 0.190151966814148 1 0.809848033185852
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
20
## name
robot-at(x21, y27)
## 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) $s(59)) and($a(2) $s(13)) and($a(0) $s(48)) and($a(3) $s(72))) : Bernoulli($c(0.8283131367674))) ($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) $s(59)) and($a(2) $s(13)) and($a(0) $s(48)) and($a(3) $s(72))) : $c(1)) ($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 1 2 0 0.1716868632326 1 0.8283131367674
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 0.1716868632326 1 0.8283131367674
25 0 1 0 1
26 0 1 0 1
27 1 2 0 0.1716868632326 1 0.8283131367674
28 0 1 0 1
29 1 2 0 0.1716868632326 1 0.8283131367674
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 0.1716868632326 1 0.8283131367674
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 1 2 0 0.1716868632326 1 0.8283131367674
48 1 2 0 0.1716868632326 1 0.8283131367674
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 0.1716868632326 1 0.8283131367674
64 1 2 0 0.1716868632326 1 0.8283131367674
65 0 1 0 1
66 0 1 0 1
67 1 2 0 0.1716868632326 1 0.8283131367674
68 1 2 0 0.1716868632326 1 0.8283131367674
69 1 2 0 0.1716868632326 1 0.8283131367674
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 0.1716868632326 1 0.8283131367674
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 1 2 0 0.1716868632326 1 0.8283131367674
167 1 2 0 0.1716868632326 1 0.8283131367674
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 0.1716868632326 1 0.8283131367674
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.1716868632326 1 0.8283131367674
185 0 1 0 1
186 1 2 0 0.1716868632326 1 0.8283131367674
187 1 2 0 0.1716868632326 1 0.8283131367674
188 0 1 0 1
189 1 2 0 0.1716868632326 1 0.8283131367674
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 0.1716868632326 1 0.8283131367674
202 0 1 0 1
203 1 2 0 0.1716868632326 1 0.8283131367674
204 0 1 0 1
205 0 1 0 1
206 1 2 0 0.1716868632326 1 0.8283131367674
207 1 2 0 0.1716868632326 1 0.8283131367674
208 1 2 0 0.1716868632326 1 0.8283131367674
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 0.1716868632326 1 0.8283131367674
222 0 1 0 1
223 1 2 0 0.1716868632326 1 0.8283131367674
224 1 2 0 0.1716868632326 1 0.8283131367674
225 0 1 0 1
226 1 2 0 0.1716868632326 1 0.8283131367674
227 1 2 0 0.1716868632326 1 0.8283131367674
228 1 2 0 0.1716868632326 1 0.8283131367674
229 1 2 0 0.1716868632326 1 0.8283131367674
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
21
## name
robot-at(x230, y15)
## 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) $s(14)) and($a(2) $s(62)) and($a(0) $s(55)) and($a(3) $s(64))) : Bernoulli($c(0.303243533561104))) ($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) $s(14)) and($a(2) $s(62)) and($a(0) $s(55)) and($a(3) $s(64))) : $c(0)) ($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 0 1 0 1
8 0 2 0 0.696756466438896 1 0.303243533561104
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 0.696756466438896 1 0.303243533561104
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.696756466438896 1 0.303243533561104
29 0 2 0 0.696756466438896 1 0.303243533561104
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 0.696756466438896 1 0.303243533561104
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.696756466438896 1 0.303243533561104
88 0 2 0 0.696756466438896 1 0.303243533561104
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 0.696756466438896 1 0.303243533561104
103 0 1 0 1
104 0 2 0 0.696756466438896 1 0.303243533561104
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.696756466438896 1 0.303243533561104
108 0 2 0 0.696756466438896 1 0.303243533561104
109 0 2 0 0.696756466438896 1 0.303243533561104
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 0.696756466438896 1 0.303243533561104
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.696756466438896 1 0.303243533561104
167 0 1 0 1
168 0 2 0 0.696756466438896 1 0.303243533561104
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 0.696756466438896 1 0.303243533561104
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.696756466438896 1 0.303243533561104
185 0 1 0 1
186 0 2 0 0.696756466438896 1 0.303243533561104
187 0 1 0 1
188 0 2 0 0.696756466438896 1 0.303243533561104
189 0 2 0 0.696756466438896 1 0.303243533561104
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 0.696756466438896 1 0.303243533561104
242 0 2 0 0.696756466438896 1 0.303243533561104
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.696756466438896 1 0.303243533561104
247 0 2 0 0.696756466438896 1 0.303243533561104
248 0 2 0 0.696756466438896 1 0.303243533561104
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 0.696756466438896 1 0.303243533561104
262 0 2 0 0.696756466438896 1 0.303243533561104
263 0 1 0 1
264 0 2 0 0.696756466438896 1 0.303243533561104
265 0 1 0 1
266 0 2 0 0.696756466438896 1 0.303243533561104
267 0 2 0 0.696756466438896 1 0.303243533561104
268 0 2 0 0.696756466438896 1 0.303243533561104
269 0 2 0 0.696756466438896 1 0.303243533561104
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(x230, y20)
## 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) $s(61)) and($a(2) $s(63)) and($a(0) $s(56)) and($a(3) $s(65))) : Bernoulli($c(0.320312628375464))) ($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) $s(61)) and($a(2) $s(63)) and($a(0) $s(56)) and($a(3) $s(65))) : $c(0)) ($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 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 0.679687371624536 1 0.320312628375464
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 0.679687371624536 1 0.320312628375464
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 0.679687371624536 1 0.320312628375464
34 0 2 0 0.679687371624536 1 0.320312628375464
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 0 2 0 0.679687371624536 1 0.320312628375464
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 0 2 0 0.679687371624536 1 0.320312628375464
93 0 1 0 1
94 0 2 0 0.679687371624536 1 0.320312628375464
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 0.679687371624536 1 0.320312628375464
103 0 2 0 0.679687371624536 1 0.320312628375464
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 0 1 0 1
112 0 2 0 0.679687371624536 1 0.320312628375464
113 0 2 0 0.679687371624536 1 0.320312628375464
114 0 2 0 0.679687371624536 1 0.320312628375464
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 2 0 0.679687371624536 1 0.320312628375464
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 0 2 0 0.679687371624536 1 0.320312628375464
172 0 1 0 1
173 0 1 0 1
174 0 2 0 0.679687371624536 1 0.320312628375464
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 0.679687371624536 1 0.320312628375464
182 0 1 0 1
183 0 2 0 0.679687371624536 1 0.320312628375464
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 0 2 0 0.679687371624536 1 0.320312628375464
192 0 1 0 1
193 0 2 0 0.679687371624536 1 0.320312628375464
194 0 2 0 0.679687371624536 1 0.320312628375464
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 0 2 0 0.679687371624536 1 0.320312628375464
242 0 2 0 0.679687371624536 1 0.320312628375464
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 0 2 0 0.679687371624536 1 0.320312628375464
252 0 2 0 0.679687371624536 1 0.320312628375464
253 0 1 0 1
254 0 2 0 0.679687371624536 1 0.320312628375464
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 0.679687371624536 1 0.320312628375464
262 0 2 0 0.679687371624536 1 0.320312628375464
263 0 2 0 0.679687371624536 1 0.320312628375464
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 0 1 0 1
271 0 2 0 0.679687371624536 1 0.320312628375464
272 0 2 0 0.679687371624536 1 0.320312628375464
273 0 2 0 0.679687371624536 1 0.320312628375464
274 0 2 0 0.679687371624536 1 0.320312628375464
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
23
## name
robot-at(x230, y27)
## 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) $s(15)) and($a(0) $s(57)) and($a(3) $s(66))) : Bernoulli($c(0.278142417634004))) ($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) $s(15)) and($a(0) $s(57)) and($a(3) $s(66))) : $c(0)) ($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 0.721857582365996 1 0.278142417634004
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 0.721857582365996 1 0.278142417634004
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.721857582365996 1 0.278142417634004
28 0 1 0 1
29 0 2 0 0.721857582365996 1 0.278142417634004
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 0.721857582365996 1 0.278142417634004
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.721857582365996 1 0.278142417634004
48 0 2 0 0.721857582365996 1 0.278142417634004
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 0.721857582365996 1 0.278142417634004
64 0 2 0 0.721857582365996 1 0.278142417634004
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.721857582365996 1 0.278142417634004
68 0 2 0 0.721857582365996 1 0.278142417634004
69 0 2 0 0.721857582365996 1 0.278142417634004
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 0.721857582365996 1 0.278142417634004
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.721857582365996 1 0.278142417634004
167 0 2 0 0.721857582365996 1 0.278142417634004
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 0.721857582365996 1 0.278142417634004
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.721857582365996 1 0.278142417634004
185 0 1 0 1
186 0 2 0 0.721857582365996 1 0.278142417634004
187 0 2 0 0.721857582365996 1 0.278142417634004
188 0 1 0 1
189 0 2 0 0.721857582365996 1 0.278142417634004
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 0.721857582365996 1 0.278142417634004
202 0 1 0 1
203 0 2 0 0.721857582365996 1 0.278142417634004
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.721857582365996 1 0.278142417634004
207 0 2 0 0.721857582365996 1 0.278142417634004
208 0 2 0 0.721857582365996 1 0.278142417634004
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 0.721857582365996 1 0.278142417634004
222 0 1 0 1
223 0 2 0 0.721857582365996 1 0.278142417634004
224 0 2 0 0.721857582365996 1 0.278142417634004
225 0 1 0 1
226 0 2 0 0.721857582365996 1 0.278142417634004
227 0 2 0 0.721857582365996 1 0.278142417634004
228 0 2 0 0.721857582365996 1 0.278142417634004
229 0 2 0 0.721857582365996 1 0.278142417634004
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(x261, 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) $s(16)) and($a(2) $s(65)) and($a(0) $s(61)) and($a(3) $s(67))) : Bernoulli($c(0.256734871942746))) ($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) $s(16)) and($a(2) $s(65)) and($a(0) $s(61)) and($a(3) $s(67))) : $c(0)) ($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 0.743265128057254 1 0.256734871942746
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 0.743265128057254 1 0.256734871942746
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.743265128057254 1 0.256734871942746
29 0 2 0 0.743265128057254 1 0.256734871942746
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 0.743265128057254 1 0.256734871942746
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.743265128057254 1 0.256734871942746
88 0 2 0 0.743265128057254 1 0.256734871942746
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 0.743265128057254 1 0.256734871942746
103 0 1 0 1
104 0 2 0 0.743265128057254 1 0.256734871942746
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.743265128057254 1 0.256734871942746
108 0 2 0 0.743265128057254 1 0.256734871942746
109 0 2 0 0.743265128057254 1 0.256734871942746
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 0.743265128057254 1 0.256734871942746
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.743265128057254 1 0.256734871942746
167 0 1 0 1
168 0 2 0 0.743265128057254 1 0.256734871942746
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 0.743265128057254 1 0.256734871942746
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.743265128057254 1 0.256734871942746
185 0 1 0 1
186 0 2 0 0.743265128057254 1 0.256734871942746
187 0 1 0 1
188 0 2 0 0.743265128057254 1 0.256734871942746
189 0 2 0 0.743265128057254 1 0.256734871942746
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 0.743265128057254 1 0.256734871942746
242 0 2 0 0.743265128057254 1 0.256734871942746
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.743265128057254 1 0.256734871942746
247 0 2 0 0.743265128057254 1 0.256734871942746
248 0 2 0 0.743265128057254 1 0.256734871942746
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 0.743265128057254 1 0.256734871942746
262 0 2 0 0.743265128057254 1 0.256734871942746
263 0 1 0 1
264 0 2 0 0.743265128057254 1 0.256734871942746
265 0 1 0 1
266 0 2 0 0.743265128057254 1 0.256734871942746
267 0 2 0 0.743265128057254 1 0.256734871942746
268 0 2 0 0.743265128057254 1 0.256734871942746
269 0 2 0 0.743265128057254 1 0.256734871942746
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(x261, 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) $s(66)) and($a(0) $s(62)) and($a(3) $s(68))) : Bernoulli($c(0.278111336807916))) ($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) $s(66)) and($a(0) $s(62)) and($a(3) $s(68))) : $c(0)) ($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 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 0.721888663192084 1 0.278111336807916
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 0.721888663192084 1 0.278111336807916
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 0.721888663192084 1 0.278111336807916
34 0 2 0 0.721888663192084 1 0.278111336807916
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 0 2 0 0.721888663192084 1 0.278111336807916
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 0 2 0 0.721888663192084 1 0.278111336807916
93 0 1 0 1
94 0 2 0 0.721888663192084 1 0.278111336807916
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 0.721888663192084 1 0.278111336807916
103 0 2 0 0.721888663192084 1 0.278111336807916
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 0 1 0 1
112 0 2 0 0.721888663192084 1 0.278111336807916
113 0 2 0 0.721888663192084 1 0.278111336807916
114 0 2 0 0.721888663192084 1 0.278111336807916
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 2 0 0.721888663192084 1 0.278111336807916
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 0 2 0 0.721888663192084 1 0.278111336807916
172 0 1 0 1
173 0 1 0 1
174 0 2 0 0.721888663192084 1 0.278111336807916
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 0.721888663192084 1 0.278111336807916
182 0 1 0 1
183 0 2 0 0.721888663192084 1 0.278111336807916
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 0 2 0 0.721888663192084 1 0.278111336807916
192 0 1 0 1
193 0 2 0 0.721888663192084 1 0.278111336807916
194 0 2 0 0.721888663192084 1 0.278111336807916
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 0 2 0 0.721888663192084 1 0.278111336807916
242 0 2 0 0.721888663192084 1 0.278111336807916
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 0 2 0 0.721888663192084 1 0.278111336807916
252 0 2 0 0.721888663192084 1 0.278111336807916
253 0 1 0 1
254 0 2 0 0.721888663192084 1 0.278111336807916
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 0.721888663192084 1 0.278111336807916
262 0 2 0 0.721888663192084 1 0.278111336807916
263 0 2 0 0.721888663192084 1 0.278111336807916
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 0 1 0 1
271 0 2 0 0.721888663192084 1 0.278111336807916
272 0 2 0 0.721888663192084 1 0.278111336807916
273 0 2 0 0.721888663192084 1 0.278111336807916
274 0 2 0 0.721888663192084 1 0.278111336807916
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
26
## name
robot-at(x261, y27)
## 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(0) $s(66)) and($a(3) $s(66))) : $c(0)) (or(and($a(1) $s(65)) and($a(2) $s(17)) and($a(0) $s(63)) and($a(3) $s(69))) : Bernoulli($c(0.276076538426998))) ($c(1) : $s(66)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(66)) and($a(2) $s(66)) and($a(0) $s(66)) and($a(3) $s(66))) : $c(0)) (or(and($a(1) $s(65)) and($a(2) $s(17)) and($a(0) $s(63)) and($a(3) $s(69))) : $c(0)) ($c(1) : $s(66)) )
## hash index
66
## 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 0.723923461573002 1 0.276076538426998
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 0.723923461573002 1 0.276076538426998
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.723923461573002 1 0.276076538426998
28 0 1 0 1
29 0 2 0 0.723923461573002 1 0.276076538426998
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 0.723923461573002 1 0.276076538426998
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.723923461573002 1 0.276076538426998
48 0 2 0 0.723923461573002 1 0.276076538426998
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 0.723923461573002 1 0.276076538426998
64 0 2 0 0.723923461573002 1 0.276076538426998
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.723923461573002 1 0.276076538426998
68 0 2 0 0.723923461573002 1 0.276076538426998
69 0 2 0 0.723923461573002 1 0.276076538426998
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 0.723923461573002 1 0.276076538426998
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.723923461573002 1 0.276076538426998
167 0 2 0 0.723923461573002 1 0.276076538426998
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 0.723923461573002 1 0.276076538426998
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.723923461573002 1 0.276076538426998
185 0 1 0 1
186 0 2 0 0.723923461573002 1 0.276076538426998
187 0 2 0 0.723923461573002 1 0.276076538426998
188 0 1 0 1
189 0 2 0 0.723923461573002 1 0.276076538426998
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 0.723923461573002 1 0.276076538426998
202 0 1 0 1
203 0 2 0 0.723923461573002 1 0.276076538426998
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.723923461573002 1 0.276076538426998
207 0 2 0 0.723923461573002 1 0.276076538426998
208 0 2 0 0.723923461573002 1 0.276076538426998
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 0.723923461573002 1 0.276076538426998
222 0 1 0 1
223 0 2 0 0.723923461573002 1 0.276076538426998
224 0 2 0 0.723923461573002 1 0.276076538426998
225 0 1 0 1
226 0 2 0 0.723923461573002 1 0.276076538426998
227 0 2 0 0.723923461573002 1 0.276076538426998
228 0 2 0 0.723923461573002 1 0.276076538426998
229 0 2 0 0.723923461573002 1 0.276076538426998
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
27
## name
robot-at(x294, y15)
## 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(0) $s(67)) and($a(3) $s(67))) : $c(0)) (or(and($a(1) $s(18)) and($a(2) $s(68)) and($a(0) $s(64)) and($a(3) $s(73))) : Bernoulli($c(0.205850044657525))) ($c(1) : $s(67)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(67)) and($a(2) $s(67)) and($a(0) $s(67)) and($a(3) $s(67))) : $c(0)) (or(and($a(1) $s(18)) and($a(2) $s(68)) and($a(0) $s(64)) and($a(3) $s(73))) : $c(0)) ($c(1) : $s(67)) )
## hash index
67
## 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 0.794149955342475 1 0.205850044657525
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 0.794149955342475 1 0.205850044657525
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.794149955342475 1 0.205850044657525
29 0 2 0 0.794149955342475 1 0.205850044657525
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 0.794149955342475 1 0.205850044657525
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.794149955342475 1 0.205850044657525
88 0 2 0 0.794149955342475 1 0.205850044657525
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 0.794149955342475 1 0.205850044657525
103 0 1 0 1
104 0 2 0 0.794149955342475 1 0.205850044657525
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.794149955342475 1 0.205850044657525
108 0 2 0 0.794149955342475 1 0.205850044657525
109 0 2 0 0.794149955342475 1 0.205850044657525
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 0.794149955342475 1 0.205850044657525
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.794149955342475 1 0.205850044657525
167 0 1 0 1
168 0 2 0 0.794149955342475 1 0.205850044657525
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 0.794149955342475 1 0.205850044657525
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.794149955342475 1 0.205850044657525
185 0 1 0 1
186 0 2 0 0.794149955342475 1 0.205850044657525
187 0 1 0 1
188 0 2 0 0.794149955342475 1 0.205850044657525
189 0 2 0 0.794149955342475 1 0.205850044657525
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 0.794149955342475 1 0.205850044657525
242 0 2 0 0.794149955342475 1 0.205850044657525
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.794149955342475 1 0.205850044657525
247 0 2 0 0.794149955342475 1 0.205850044657525
248 0 2 0 0.794149955342475 1 0.205850044657525
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 0.794149955342475 1 0.205850044657525
262 0 2 0 0.794149955342475 1 0.205850044657525
263 0 1 0 1
264 0 2 0 0.794149955342475 1 0.205850044657525
265 0 1 0 1
266 0 2 0 0.794149955342475 1 0.205850044657525
267 0 2 0 0.794149955342475 1 0.205850044657525
268 0 2 0 0.794149955342475 1 0.205850044657525
269 0 2 0 0.794149955342475 1 0.205850044657525
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
28
## name
robot-at(x294, y20)
## 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) $s(67)) and($a(2) $s(69)) and($a(0) $s(65)) and($a(3) $s(74))) : Bernoulli($c(0.231064768085305))) ($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) $s(67)) and($a(2) $s(69)) and($a(0) $s(65)) and($a(3) $s(74))) : $c(0)) ($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 0 1 0 1
14 0 2 0 0.768935231914695 1 0.231064768085305
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 0.768935231914695 1 0.231064768085305
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 0.768935231914695 1 0.231064768085305
34 0 2 0 0.768935231914695 1 0.231064768085305
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 0 2 0 0.768935231914695 1 0.231064768085305
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 0 2 0 0.768935231914695 1 0.231064768085305
93 0 1 0 1
94 0 2 0 0.768935231914695 1 0.231064768085305
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 0.768935231914695 1 0.231064768085305
103 0 2 0 0.768935231914695 1 0.231064768085305
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 0 1 0 1
112 0 2 0 0.768935231914695 1 0.231064768085305
113 0 2 0 0.768935231914695 1 0.231064768085305
114 0 2 0 0.768935231914695 1 0.231064768085305
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 2 0 0.768935231914695 1 0.231064768085305
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 0 2 0 0.768935231914695 1 0.231064768085305
172 0 1 0 1
173 0 1 0 1
174 0 2 0 0.768935231914695 1 0.231064768085305
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 0.768935231914695 1 0.231064768085305
182 0 1 0 1
183 0 2 0 0.768935231914695 1 0.231064768085305
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 0 2 0 0.768935231914695 1 0.231064768085305
192 0 1 0 1
193 0 2 0 0.768935231914695 1 0.231064768085305
194 0 2 0 0.768935231914695 1 0.231064768085305
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 0 2 0 0.768935231914695 1 0.231064768085305
242 0 2 0 0.768935231914695 1 0.231064768085305
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 0 2 0 0.768935231914695 1 0.231064768085305
252 0 2 0 0.768935231914695 1 0.231064768085305
253 0 1 0 1
254 0 2 0 0.768935231914695 1 0.231064768085305
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 0.768935231914695 1 0.231064768085305
262 0 2 0 0.768935231914695 1 0.231064768085305
263 0 2 0 0.768935231914695 1 0.231064768085305
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 0 1 0 1
271 0 2 0 0.768935231914695 1 0.231064768085305
272 0 2 0 0.768935231914695 1 0.231064768085305
273 0 2 0 0.768935231914695 1 0.231064768085305
274 0 2 0 0.768935231914695 1 0.231064768085305
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(x294, y27)
## 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) $s(19)) and($a(0) $s(66)) and($a(3) $s(75))) : Bernoulli($c(0.212864915301141))) ($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) $s(19)) and($a(0) $s(66)) and($a(3) $s(75))) : $c(0)) ($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 2 0 0.787135084698859 1 0.212864915301141
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 0.787135084698859 1 0.212864915301141
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.787135084698859 1 0.212864915301141
28 0 1 0 1
29 0 2 0 0.787135084698859 1 0.212864915301141
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 0.787135084698859 1 0.212864915301141
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.787135084698859 1 0.212864915301141
48 0 2 0 0.787135084698859 1 0.212864915301141
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 0.787135084698859 1 0.212864915301141
64 0 2 0 0.787135084698859 1 0.212864915301141
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.787135084698859 1 0.212864915301141
68 0 2 0 0.787135084698859 1 0.212864915301141
69 0 2 0 0.787135084698859 1 0.212864915301141
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 0.787135084698859 1 0.212864915301141
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.787135084698859 1 0.212864915301141
167 0 2 0 0.787135084698859 1 0.212864915301141
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 0.787135084698859 1 0.212864915301141
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.787135084698859 1 0.212864915301141
185 0 1 0 1
186 0 2 0 0.787135084698859 1 0.212864915301141
187 0 2 0 0.787135084698859 1 0.212864915301141
188 0 1 0 1
189 0 2 0 0.787135084698859 1 0.212864915301141
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 0.787135084698859 1 0.212864915301141
202 0 1 0 1
203 0 2 0 0.787135084698859 1 0.212864915301141
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.787135084698859 1 0.212864915301141
207 0 2 0 0.787135084698859 1 0.212864915301141
208 0 2 0 0.787135084698859 1 0.212864915301141
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 0.787135084698859 1 0.212864915301141
222 0 1 0 1
223 0 2 0 0.787135084698859 1 0.212864915301141
224 0 2 0 0.787135084698859 1 0.212864915301141
225 0 1 0 1
226 0 2 0 0.787135084698859 1 0.212864915301141
227 0 2 0 0.787135084698859 1 0.212864915301141
228 0 2 0 0.787135084698859 1 0.212864915301141
229 0 2 0 0.787135084698859 1 0.212864915301141
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
30
## name
robot-at(x30, 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) $s(20)) and($a(2) $s(71)) and($a(0) $s(58)) and($a(3) $s(82))) : Bernoulli($c(0.751970145949408))) ($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) $s(20)) and($a(2) $s(71)) and($a(0) $s(58)) and($a(3) $s(82))) : $c(1)) ($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 1 2 0 0.248029854050592 1 0.751970145949408
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 0.248029854050592 1 0.751970145949408
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 1 2 0 0.248029854050592 1 0.751970145949408
29 1 2 0 0.248029854050592 1 0.751970145949408
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 0.248029854050592 1 0.751970145949408
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 1 2 0 0.248029854050592 1 0.751970145949408
88 1 2 0 0.248029854050592 1 0.751970145949408
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 0.248029854050592 1 0.751970145949408
103 0 1 0 1
104 1 2 0 0.248029854050592 1 0.751970145949408
105 0 1 0 1
106 0 1 0 1
107 1 2 0 0.248029854050592 1 0.751970145949408
108 1 2 0 0.248029854050592 1 0.751970145949408
109 1 2 0 0.248029854050592 1 0.751970145949408
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 0.248029854050592 1 0.751970145949408
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 1 2 0 0.248029854050592 1 0.751970145949408
167 0 1 0 1
168 1 2 0 0.248029854050592 1 0.751970145949408
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 0.248029854050592 1 0.751970145949408
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.248029854050592 1 0.751970145949408
185 0 1 0 1
186 1 2 0 0.248029854050592 1 0.751970145949408
187 0 1 0 1
188 1 2 0 0.248029854050592 1 0.751970145949408
189 1 2 0 0.248029854050592 1 0.751970145949408
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 0.248029854050592 1 0.751970145949408
242 1 2 0 0.248029854050592 1 0.751970145949408
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 1 2 0 0.248029854050592 1 0.751970145949408
247 1 2 0 0.248029854050592 1 0.751970145949408
248 1 2 0 0.248029854050592 1 0.751970145949408
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 0.248029854050592 1 0.751970145949408
262 1 2 0 0.248029854050592 1 0.751970145949408
263 0 1 0 1
264 1 2 0 0.248029854050592 1 0.751970145949408
265 0 1 0 1
266 1 2 0 0.248029854050592 1 0.751970145949408
267 1 2 0 0.248029854050592 1 0.751970145949408
268 1 2 0 0.248029854050592 1 0.751970145949408
269 1 2 0 0.248029854050592 1 0.751970145949408
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
31
## name
robot-at(x30, 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) $s(72)) and($a(0) $s(59)) and($a(3) $s(83))) : Bernoulli($c(0.798904112056143))) ($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) $s(72)) and($a(0) $s(59)) and($a(3) $s(83))) : $c(1)) ($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 0 1 0 1
13 0 1 0 1
14 1 2 0 0.201095887943857 1 0.798904112056143
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 0.201095887943857 1 0.798904112056143
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 1 2 0 0.201095887943857 1 0.798904112056143
34 1 2 0 0.201095887943857 1 0.798904112056143
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 0.201095887943857 1 0.798904112056143
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 0.201095887943857 1 0.798904112056143
93 0 1 0 1
94 1 2 0 0.201095887943857 1 0.798904112056143
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 0.201095887943857 1 0.798904112056143
103 1 2 0 0.201095887943857 1 0.798904112056143
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 0 1 0 1
112 1 2 0 0.201095887943857 1 0.798904112056143
113 1 2 0 0.201095887943857 1 0.798904112056143
114 1 2 0 0.201095887943857 1 0.798904112056143
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 0.201095887943857 1 0.798904112056143
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 0.201095887943857 1 0.798904112056143
172 0 1 0 1
173 0 1 0 1
174 1 2 0 0.201095887943857 1 0.798904112056143
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 0.201095887943857 1 0.798904112056143
182 0 1 0 1
183 1 2 0 0.201095887943857 1 0.798904112056143
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 0.201095887943857 1 0.798904112056143
192 0 1 0 1
193 1 2 0 0.201095887943857 1 0.798904112056143
194 1 2 0 0.201095887943857 1 0.798904112056143
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 0.201095887943857 1 0.798904112056143
242 1 2 0 0.201095887943857 1 0.798904112056143
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 0.201095887943857 1 0.798904112056143
252 1 2 0 0.201095887943857 1 0.798904112056143
253 0 1 0 1
254 1 2 0 0.201095887943857 1 0.798904112056143
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 0.201095887943857 1 0.798904112056143
262 1 2 0 0.201095887943857 1 0.798904112056143
263 1 2 0 0.201095887943857 1 0.798904112056143
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 0 1 0 1
271 1 2 0 0.201095887943857 1 0.798904112056143
272 1 2 0 0.201095887943857 1 0.798904112056143
273 1 2 0 0.201095887943857 1 0.798904112056143
274 1 2 0 0.201095887943857 1 0.798904112056143
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(x30, y27)
## 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) $s(72)) and($a(3) $s(72))) : $c(0)) (or(and($a(1) $s(71)) and($a(2) $s(21)) and($a(0) $s(60)) and($a(3) $s(84))) : Bernoulli($c(0.787286251881405))) ($c(1) : $s(72)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(72)) and($a(2) $s(72)) and($a(0) $s(72)) and($a(3) $s(72))) : $c(0)) (or(and($a(1) $s(71)) and($a(2) $s(21)) and($a(0) $s(60)) and($a(3) $s(84))) : $c(1)) ($c(1) : $s(72)) )
## hash index
72
## 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 0.212713748118595 1 0.787286251881405
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 0.212713748118595 1 0.787286251881405
25 0 1 0 1
26 0 1 0 1
27 1 2 0 0.212713748118595 1 0.787286251881405
28 0 1 0 1
29 1 2 0 0.212713748118595 1 0.787286251881405
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 0.212713748118595 1 0.787286251881405
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 1 2 0 0.212713748118595 1 0.787286251881405
48 1 2 0 0.212713748118595 1 0.787286251881405
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 0.212713748118595 1 0.787286251881405
64 1 2 0 0.212713748118595 1 0.787286251881405
65 0 1 0 1
66 0 1 0 1
67 1 2 0 0.212713748118595 1 0.787286251881405
68 1 2 0 0.212713748118595 1 0.787286251881405
69 1 2 0 0.212713748118595 1 0.787286251881405
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 0.212713748118595 1 0.787286251881405
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 1 2 0 0.212713748118595 1 0.787286251881405
167 1 2 0 0.212713748118595 1 0.787286251881405
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 0.212713748118595 1 0.787286251881405
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.212713748118595 1 0.787286251881405
185 0 1 0 1
186 1 2 0 0.212713748118595 1 0.787286251881405
187 1 2 0 0.212713748118595 1 0.787286251881405
188 0 1 0 1
189 1 2 0 0.212713748118595 1 0.787286251881405
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 0.212713748118595 1 0.787286251881405
202 0 1 0 1
203 1 2 0 0.212713748118595 1 0.787286251881405
204 0 1 0 1
205 0 1 0 1
206 1 2 0 0.212713748118595 1 0.787286251881405
207 1 2 0 0.212713748118595 1 0.787286251881405
208 1 2 0 0.212713748118595 1 0.787286251881405
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 0.212713748118595 1 0.787286251881405
222 0 1 0 1
223 1 2 0 0.212713748118595 1 0.787286251881405
224 1 2 0 0.212713748118595 1 0.787286251881405
225 0 1 0 1
226 1 2 0 0.212713748118595 1 0.787286251881405
227 1 2 0 0.212713748118595 1 0.787286251881405
228 1 2 0 0.212713748118595 1 0.787286251881405
229 1 2 0 0.212713748118595 1 0.787286251881405
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
33
## name
robot-at(x329, y15)
## 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) $s(73)) and($a(3) $s(73))) : $c(0)) (or(and($a(1) $s(22)) and($a(2) $s(74)) and($a(0) $s(67)) and($a(3) $s(76))) : Bernoulli($c(0.165520227661258))) ($c(1) : $s(73)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(73)) and($a(2) $s(73)) and($a(0) $s(73)) and($a(3) $s(73))) : $c(0)) (or(and($a(1) $s(22)) and($a(2) $s(74)) and($a(0) $s(67)) and($a(3) $s(76))) : $c(0)) ($c(1) : $s(73)) )
## hash index
73
## 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 0.834479772338742 1 0.165520227661258
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 0.834479772338742 1 0.165520227661258
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.834479772338742 1 0.165520227661258
29 0 2 0 0.834479772338742 1 0.165520227661258
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 0.834479772338742 1 0.165520227661258
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.834479772338742 1 0.165520227661258
88 0 2 0 0.834479772338742 1 0.165520227661258
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 0.834479772338742 1 0.165520227661258
103 0 1 0 1
104 0 2 0 0.834479772338742 1 0.165520227661258
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.834479772338742 1 0.165520227661258
108 0 2 0 0.834479772338742 1 0.165520227661258
109 0 2 0 0.834479772338742 1 0.165520227661258
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 0.834479772338742 1 0.165520227661258
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.834479772338742 1 0.165520227661258
167 0 1 0 1
168 0 2 0 0.834479772338742 1 0.165520227661258
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 0.834479772338742 1 0.165520227661258
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.834479772338742 1 0.165520227661258
185 0 1 0 1
186 0 2 0 0.834479772338742 1 0.165520227661258
187 0 1 0 1
188 0 2 0 0.834479772338742 1 0.165520227661258
189 0 2 0 0.834479772338742 1 0.165520227661258
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 0.834479772338742 1 0.165520227661258
242 0 2 0 0.834479772338742 1 0.165520227661258
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.834479772338742 1 0.165520227661258
247 0 2 0 0.834479772338742 1 0.165520227661258
248 0 2 0 0.834479772338742 1 0.165520227661258
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 0.834479772338742 1 0.165520227661258
262 0 2 0 0.834479772338742 1 0.165520227661258
263 0 1 0 1
264 0 2 0 0.834479772338742 1 0.165520227661258
265 0 1 0 1
266 0 2 0 0.834479772338742 1 0.165520227661258
267 0 2 0 0.834479772338742 1 0.165520227661258
268 0 2 0 0.834479772338742 1 0.165520227661258
269 0 2 0 0.834479772338742 1 0.165520227661258
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
34
## name
robot-at(x329, y20)
## 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) $s(73)) and($a(2) $s(75)) and($a(0) $s(68)) and($a(3) $s(77))) : Bernoulli($c(0.172328241316504))) ($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) $s(73)) and($a(2) $s(75)) and($a(0) $s(68)) and($a(3) $s(77))) : $c(0)) ($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 0 1 0 1
14 0 2 0 0.827671758683496 1 0.172328241316504
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 0.827671758683496 1 0.172328241316504
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 0.827671758683496 1 0.172328241316504
34 0 2 0 0.827671758683496 1 0.172328241316504
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 0 2 0 0.827671758683496 1 0.172328241316504
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 0 2 0 0.827671758683496 1 0.172328241316504
93 0 1 0 1
94 0 2 0 0.827671758683496 1 0.172328241316504
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 0.827671758683496 1 0.172328241316504
103 0 2 0 0.827671758683496 1 0.172328241316504
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 0 1 0 1
112 0 2 0 0.827671758683496 1 0.172328241316504
113 0 2 0 0.827671758683496 1 0.172328241316504
114 0 2 0 0.827671758683496 1 0.172328241316504
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 2 0 0.827671758683496 1 0.172328241316504
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 0 2 0 0.827671758683496 1 0.172328241316504
172 0 1 0 1
173 0 1 0 1
174 0 2 0 0.827671758683496 1 0.172328241316504
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 0.827671758683496 1 0.172328241316504
182 0 1 0 1
183 0 2 0 0.827671758683496 1 0.172328241316504
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 0 2 0 0.827671758683496 1 0.172328241316504
192 0 1 0 1
193 0 2 0 0.827671758683496 1 0.172328241316504
194 0 2 0 0.827671758683496 1 0.172328241316504
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 0 2 0 0.827671758683496 1 0.172328241316504
242 0 2 0 0.827671758683496 1 0.172328241316504
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 0 2 0 0.827671758683496 1 0.172328241316504
252 0 2 0 0.827671758683496 1 0.172328241316504
253 0 1 0 1
254 0 2 0 0.827671758683496 1 0.172328241316504
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 0.827671758683496 1 0.172328241316504
262 0 2 0 0.827671758683496 1 0.172328241316504
263 0 2 0 0.827671758683496 1 0.172328241316504
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 0 1 0 1
271 0 2 0 0.827671758683496 1 0.172328241316504
272 0 2 0 0.827671758683496 1 0.172328241316504
273 0 2 0 0.827671758683496 1 0.172328241316504
274 0 2 0 0.827671758683496 1 0.172328241316504
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(x329, y27)
## 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) $s(23)) and($a(0) $s(69)) and($a(3) $s(78))) : Bernoulli($c(0.158292920475728))) ($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) $s(23)) and($a(0) $s(69)) and($a(3) $s(78))) : $c(0)) ($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 2 0 0.841707079524272 1 0.158292920475728
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 0.841707079524272 1 0.158292920475728
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.841707079524272 1 0.158292920475728
28 0 1 0 1
29 0 2 0 0.841707079524272 1 0.158292920475728
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 0.841707079524272 1 0.158292920475728
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.841707079524272 1 0.158292920475728
48 0 2 0 0.841707079524272 1 0.158292920475728
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 0.841707079524272 1 0.158292920475728
64 0 2 0 0.841707079524272 1 0.158292920475728
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.841707079524272 1 0.158292920475728
68 0 2 0 0.841707079524272 1 0.158292920475728
69 0 2 0 0.841707079524272 1 0.158292920475728
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 0.841707079524272 1 0.158292920475728
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.841707079524272 1 0.158292920475728
167 0 2 0 0.841707079524272 1 0.158292920475728
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 0.841707079524272 1 0.158292920475728
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.841707079524272 1 0.158292920475728
185 0 1 0 1
186 0 2 0 0.841707079524272 1 0.158292920475728
187 0 2 0 0.841707079524272 1 0.158292920475728
188 0 1 0 1
189 0 2 0 0.841707079524272 1 0.158292920475728
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 0.841707079524272 1 0.158292920475728
202 0 1 0 1
203 0 2 0 0.841707079524272 1 0.158292920475728
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.841707079524272 1 0.158292920475728
207 0 2 0 0.841707079524272 1 0.158292920475728
208 0 2 0 0.841707079524272 1 0.158292920475728
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 0.841707079524272 1 0.158292920475728
222 0 1 0 1
223 0 2 0 0.841707079524272 1 0.158292920475728
224 0 2 0 0.841707079524272 1 0.158292920475728
225 0 1 0 1
226 0 2 0 0.841707079524272 1 0.158292920475728
227 0 2 0 0.841707079524272 1 0.158292920475728
228 0 2 0 0.841707079524272 1 0.158292920475728
229 0 2 0 0.841707079524272 1 0.158292920475728
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
36
## name
robot-at(x366, 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) $s(24)) and($a(2) $s(77)) and($a(0) $s(73)) and($a(3) $s(79))) : Bernoulli($c(0.118622269383387))) ($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) $s(24)) and($a(2) $s(77)) and($a(0) $s(73)) and($a(3) $s(79))) : $c(0)) ($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 2 0 0.881377730616613 1 0.118622269383387
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 0.881377730616613 1 0.118622269383387
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.881377730616613 1 0.118622269383387
29 0 2 0 0.881377730616613 1 0.118622269383387
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 0.881377730616613 1 0.118622269383387
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.881377730616613 1 0.118622269383387
88 0 2 0 0.881377730616613 1 0.118622269383387
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 0.881377730616613 1 0.118622269383387
103 0 1 0 1
104 0 2 0 0.881377730616613 1 0.118622269383387
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.881377730616613 1 0.118622269383387
108 0 2 0 0.881377730616613 1 0.118622269383387
109 0 2 0 0.881377730616613 1 0.118622269383387
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 0.881377730616613 1 0.118622269383387
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.881377730616613 1 0.118622269383387
167 0 1 0 1
168 0 2 0 0.881377730616613 1 0.118622269383387
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 0.881377730616613 1 0.118622269383387
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.881377730616613 1 0.118622269383387
185 0 1 0 1
186 0 2 0 0.881377730616613 1 0.118622269383387
187 0 1 0 1
188 0 2 0 0.881377730616613 1 0.118622269383387
189 0 2 0 0.881377730616613 1 0.118622269383387
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 0.881377730616613 1 0.118622269383387
242 0 2 0 0.881377730616613 1 0.118622269383387
243 0 1 0 1
244 0 1 0 1
245 0 1 0 1
246 0 2 0 0.881377730616613 1 0.118622269383387
247 0 2 0 0.881377730616613 1 0.118622269383387
248 0 2 0 0.881377730616613 1 0.118622269383387
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 0.881377730616613 1 0.118622269383387
262 0 2 0 0.881377730616613 1 0.118622269383387
263 0 1 0 1
264 0 2 0 0.881377730616613 1 0.118622269383387
265 0 1 0 1
266 0 2 0 0.881377730616613 1 0.118622269383387
267 0 2 0 0.881377730616613 1 0.118622269383387
268 0 2 0 0.881377730616613 1 0.118622269383387
269 0 2 0 0.881377730616613 1 0.118622269383387
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
37
## name
robot-at(x366, 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) $s(78)) and($a(0) $s(74)) and($a(3) $s(80))) : Bernoulli($c(0.0982995814594784))) ($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) $s(78)) and($a(0) $s(74)) and($a(3) $s(80))) : $c(0)) ($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 0 1 0 1
13 0 1 0 1
14 0 2 0 0.901700418540522 1 0.0982995814594784
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 0.901700418540522 1 0.0982995814594784
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 0.901700418540522 1 0.0982995814594784
34 0 2 0 0.901700418540522 1 0.0982995814594784
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 0 2 0 0.901700418540522 1 0.0982995814594784
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 0 2 0 0.901700418540522 1 0.0982995814594784
93 0 1 0 1
94 0 2 0 0.901700418540522 1 0.0982995814594784
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 0.901700418540522 1 0.0982995814594784
103 0 2 0 0.901700418540522 1 0.0982995814594784
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 0 1 0 1
112 0 2 0 0.901700418540522 1 0.0982995814594784
113 0 2 0 0.901700418540522 1 0.0982995814594784
114 0 2 0 0.901700418540522 1 0.0982995814594784
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 2 0 0.901700418540522 1 0.0982995814594784
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 0 2 0 0.901700418540522 1 0.0982995814594784
172 0 1 0 1
173 0 1 0 1
174 0 2 0 0.901700418540522 1 0.0982995814594784
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 0.901700418540522 1 0.0982995814594784
182 0 1 0 1
183 0 2 0 0.901700418540522 1 0.0982995814594784
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 0 2 0 0.901700418540522 1 0.0982995814594784
192 0 1 0 1
193 0 2 0 0.901700418540522 1 0.0982995814594784
194 0 2 0 0.901700418540522 1 0.0982995814594784
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 0 2 0 0.901700418540522 1 0.0982995814594784
242 0 2 0 0.901700418540522 1 0.0982995814594784
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 0 2 0 0.901700418540522 1 0.0982995814594784
252 0 2 0 0.901700418540522 1 0.0982995814594784
253 0 1 0 1
254 0 2 0 0.901700418540522 1 0.0982995814594784
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 0.901700418540522 1 0.0982995814594784
262 0 2 0 0.901700418540522 1 0.0982995814594784
263 0 2 0 0.901700418540522 1 0.0982995814594784
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 0 1 0 1
271 0 2 0 0.901700418540522 1 0.0982995814594784
272 0 2 0 0.901700418540522 1 0.0982995814594784
273 0 2 0 0.901700418540522 1 0.0982995814594784
274 0 2 0 0.901700418540522 1 0.0982995814594784
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(x366, y27)
## 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) $s(77)) and($a(2) $s(25)) and($a(0) $s(75)) and($a(3) $s(81))) : Bernoulli($c(0.126119692711846))) ($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) $s(77)) and($a(2) $s(25)) and($a(0) $s(75)) and($a(3) $s(81))) : $c(0)) ($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 2 0 0.873880307288154 1 0.126119692711846
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 0.873880307288154 1 0.126119692711846
25 0 1 0 1
26 0 1 0 1
27 0 2 0 0.873880307288154 1 0.126119692711846
28 0 1 0 1
29 0 2 0 0.873880307288154 1 0.126119692711846
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 0.873880307288154 1 0.126119692711846
44 0 1 0 1
45 0 1 0 1
46 0 1 0 1
47 0 2 0 0.873880307288154 1 0.126119692711846
48 0 2 0 0.873880307288154 1 0.126119692711846
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 0.873880307288154 1 0.126119692711846
64 0 2 0 0.873880307288154 1 0.126119692711846
65 0 1 0 1
66 0 1 0 1
67 0 2 0 0.873880307288154 1 0.126119692711846
68 0 2 0 0.873880307288154 1 0.126119692711846
69 0 2 0 0.873880307288154 1 0.126119692711846
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 0.873880307288154 1 0.126119692711846
162 0 1 0 1
163 0 1 0 1
164 0 1 0 1
165 0 1 0 1
166 0 2 0 0.873880307288154 1 0.126119692711846
167 0 2 0 0.873880307288154 1 0.126119692711846
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 0.873880307288154 1 0.126119692711846
182 0 1 0 1
183 0 1 0 1
184 0 2 0 0.873880307288154 1 0.126119692711846
185 0 1 0 1
186 0 2 0 0.873880307288154 1 0.126119692711846
187 0 2 0 0.873880307288154 1 0.126119692711846
188 0 1 0 1
189 0 2 0 0.873880307288154 1 0.126119692711846
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 0.873880307288154 1 0.126119692711846
202 0 1 0 1
203 0 2 0 0.873880307288154 1 0.126119692711846
204 0 1 0 1
205 0 1 0 1
206 0 2 0 0.873880307288154 1 0.126119692711846
207 0 2 0 0.873880307288154 1 0.126119692711846
208 0 2 0 0.873880307288154 1 0.126119692711846
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 0.873880307288154 1 0.126119692711846
222 0 1 0 1
223 0 2 0 0.873880307288154 1 0.126119692711846
224 0 2 0 0.873880307288154 1 0.126119692711846
225 0 1 0 1
226 0 2 0 0.873880307288154 1 0.126119692711846
227 0 2 0 0.873880307288154 1 0.126119692711846
228 0 2 0 0.873880307288154 1 0.126119692711846
229 0 2 0 0.873880307288154 1 0.126119692711846
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
39
## name
robot-at(x405, y15)
## 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(3) $s(79))) : $c(0)) (or(and($a(1) $s(26)) and($a(2) $s(80)) and($a(0) $s(76))) : Bernoulli($c(0.0678806759809193))) ($c(1) : $s(79)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(79)) and($a(2) $s(79)) and($a(3) $s(79))) : $c(0)) (or(and($a(1) $s(26)) and($a(2) $s(80)) and($a(0) $s(76))) : $c(0)) ($c(1) : $s(79)) )
## hash index
79
## 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 0.932119324019081 1 0.0678806759809193
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 0.932119324019081 1 0.0678806759809193
25 0 1 0 1
26 0 1 0 1
27 0 1 0 1
28 0 2 0 0.932119324019081 1 0.0678806759809193
29 0 2 0 0.932119324019081 1 0.0678806759809193
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 0.932119324019081 1 0.0678806759809193
65 1 1 1 1
66 0 1 0 1
67 0 1 0 1
68 0 1 0 1
69 0 2 0 0.932119324019081 1 0.0678806759809193
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 0.932119324019081 1 0.0678806759809193
83 0 1 0 1
84 0 1 0 1
85 0 1 0 1
86 0 1 0 1
87 0 2 0 0.932119324019081 1 0.0678806759809193
88 0 2 0 0.932119324019081 1 0.0678806759809193
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 0.932119324019081 1 0.0678806759809193
103 0 1 0 1
104 0 2 0 0.932119324019081 1 0.0678806759809193
105 0 1 0 1
106 0 1 0 1
107 0 2 0 0.932119324019081 1 0.0678806759809193
108 0 2 0 0.932119324019081 1 0.0678806759809193
109 0 2 0 0.932119324019081 1 0.0678806759809193
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 0.932119324019081 1 0.0678806759809193
145 1 1 1 1
146 0 1 0 1
147 0 1 0 1
148 0 1 0 1
149 0 2 0 0.932119324019081 1 0.0678806759809193
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
40
## name
robot-at(x405, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(80)) and($a(2) $s(80)) and($a(3) $s(80))) : $c(0)) (or(and($a(1) $s(79)) and($a(2) $s(81)) and($a(0) $s(77))) : Bernoulli($c(0.0804706847687301))) ($c(1) : $s(80)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(80)) and($a(2) $s(80)) and($a(3) $s(80))) : $c(0)) (or(and($a(1) $s(79)) and($a(2) $s(81)) and($a(0) $s(77))) : $c(0)) ($c(1) : $s(80)) )
## hash index
80
## 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 0 1 0 1
14 0 2 0 0.91952931523127 1 0.0804706847687301
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 0.91952931523127 1 0.0804706847687301
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 0.91952931523127 1 0.0804706847687301
34 0 2 0 0.91952931523127 1 0.0804706847687301
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 0.91952931523127 1 0.0804706847687301
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 0.91952931523127 1 0.0804706847687301
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 0.91952931523127 1 0.0804706847687301
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 0 2 0 0.91952931523127 1 0.0804706847687301
93 0 1 0 1
94 0 2 0 0.91952931523127 1 0.0804706847687301
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 0.91952931523127 1 0.0804706847687301
103 0 2 0 0.91952931523127 1 0.0804706847687301
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 0 1 0 1
112 0 2 0 0.91952931523127 1 0.0804706847687301
113 0 2 0 0.91952931523127 1 0.0804706847687301
114 0 2 0 0.91952931523127 1 0.0804706847687301
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 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 2 0 0.91952931523127 1 0.0804706847687301
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 1 1 1 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 2 0 0.91952931523127 1 0.0804706847687301
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
41
## name
robot-at(x405, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(81)) and($a(2) $s(81)) and($a(3) $s(81))) : $c(0)) (or(and($a(1) $s(80)) and($a(2) $s(27)) and($a(0) $s(78))) : Bernoulli($c(0.0763329033200678))) ($c(1) : $s(81)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(81)) and($a(2) $s(81)) and($a(3) $s(81))) : $c(0)) (or(and($a(1) $s(80)) and($a(2) $s(27)) and($a(0) $s(78))) : $c(0)) ($c(1) : $s(81)) )
## hash index
81
## 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 0.923667096679932 1 0.0763329033200678
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 0.923667096679932 1 0.0763329033200678
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 0.923667096679932 1 0.0763329033200678
34 0 2 0 0.923667096679932 1 0.0763329033200678
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 0.923667096679932 1 0.0763329033200678
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 0.923667096679932 1 0.0763329033200678
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
42
## name
robot-at(x41, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(82)) and($a(2) $s(82)) and($a(0) $s(82)) and($a(3) $s(82))) : $c(0)) (or(and($a(1) $s(28)) and($a(2) $s(83)) and($a(0) $s(70)) and($a(3) $s(85))) : Bernoulli($c(0.710333172133879))) ($c(1) : $s(82)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(82)) and($a(2) $s(82)) and($a(0) $s(82)) and($a(3) $s(82))) : $c(0)) (or(and($a(1) $s(28)) and($a(2) $s(83)) and($a(0) $s(70)) and($a(3) $s(85))) : $c(1)) ($c(1) : $s(82)) )
## hash index
82
## 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 0.289666827866121 1 0.710333172133879
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 0.289666827866121 1 0.710333172133879
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 0.289666827866121 1 0.710333172133879
34 1 2 0 0.289666827866121 1 0.710333172133879
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 0.289666827866121 1 0.710333172133879
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 0.289666827866121 1 0.710333172133879
93 1 2 0 0.289666827866121 1 0.710333172133879
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 0.289666827866121 1 0.710333172133879
103 0 1 0 1
104 1 2 0 0.289666827866121 1 0.710333172133879
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 0.289666827866121 1 0.710333172133879
113 1 2 0 0.289666827866121 1 0.710333172133879
114 1 2 0 0.289666827866121 1 0.710333172133879
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 0.289666827866121 1 0.710333172133879
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 0.289666827866121 1 0.710333172133879
172 0 1 0 1
173 1 2 0 0.289666827866121 1 0.710333172133879
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 0.289666827866121 1 0.710333172133879
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.289666827866121 1 0.710333172133879
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 0.289666827866121 1 0.710333172133879
192 0 1 0 1
193 1 2 0 0.289666827866121 1 0.710333172133879
194 1 2 0 0.289666827866121 1 0.710333172133879
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 0.289666827866121 1 0.710333172133879
242 1 2 0 0.289666827866121 1 0.710333172133879
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 0.289666827866121 1 0.710333172133879
252 1 2 0 0.289666827866121 1 0.710333172133879
253 1 2 0 0.289666827866121 1 0.710333172133879
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 0.289666827866121 1 0.710333172133879
262 1 2 0 0.289666827866121 1 0.710333172133879
263 0 1 0 1
264 1 2 0 0.289666827866121 1 0.710333172133879
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 0.289666827866121 1 0.710333172133879
272 1 2 0 0.289666827866121 1 0.710333172133879
273 1 2 0 0.289666827866121 1 0.710333172133879
274 1 2 0 0.289666827866121 1 0.710333172133879
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
43
## name
robot-at(x41, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(83)) and($a(2) $s(83)) and($a(0) $s(83)) and($a(3) $s(83))) : $c(0)) (or(and($a(1) $s(82)) and($a(2) $s(84)) and($a(0) $s(71)) and($a(3) $s(86))) : Bernoulli($c(0.749755742163152))) ($c(1) : $s(83)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(83)) and($a(2) $s(83)) and($a(0) $s(83)) and($a(3) $s(83))) : $c(0)) (or(and($a(1) $s(82)) and($a(2) $s(84)) and($a(0) $s(71)) and($a(3) $s(86))) : $c(1)) ($c(1) : $s(83)) )
## hash index
83
## 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 0 1 0 1
14 1 2 0 0.250244257836848 1 0.749755742163152
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 0.250244257836848 1 0.749755742163152
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 1 2 0 0.250244257836848 1 0.749755742163152
34 1 2 0 0.250244257836848 1 0.749755742163152
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 0.250244257836848 1 0.749755742163152
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 0.250244257836848 1 0.749755742163152
93 0 1 0 1
94 1 2 0 0.250244257836848 1 0.749755742163152
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 0.250244257836848 1 0.749755742163152
103 1 2 0 0.250244257836848 1 0.749755742163152
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 0 1 0 1
112 1 2 0 0.250244257836848 1 0.749755742163152
113 1 2 0 0.250244257836848 1 0.749755742163152
114 1 2 0 0.250244257836848 1 0.749755742163152
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 0.250244257836848 1 0.749755742163152
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 0.250244257836848 1 0.749755742163152
172 0 1 0 1
173 0 1 0 1
174 1 2 0 0.250244257836848 1 0.749755742163152
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 0.250244257836848 1 0.749755742163152
182 0 1 0 1
183 1 2 0 0.250244257836848 1 0.749755742163152
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 0.250244257836848 1 0.749755742163152
192 0 1 0 1
193 1 2 0 0.250244257836848 1 0.749755742163152
194 1 2 0 0.250244257836848 1 0.749755742163152
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 0.250244257836848 1 0.749755742163152
242 1 2 0 0.250244257836848 1 0.749755742163152
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 0.250244257836848 1 0.749755742163152
252 1 2 0 0.250244257836848 1 0.749755742163152
253 0 1 0 1
254 1 2 0 0.250244257836848 1 0.749755742163152
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 0.250244257836848 1 0.749755742163152
262 1 2 0 0.250244257836848 1 0.749755742163152
263 1 2 0 0.250244257836848 1 0.749755742163152
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 0 1 0 1
271 1 2 0 0.250244257836848 1 0.749755742163152
272 1 2 0 0.250244257836848 1 0.749755742163152
273 1 2 0 0.250244257836848 1 0.749755742163152
274 1 2 0 0.250244257836848 1 0.749755742163152
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
44
## name
robot-at(x41, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(84)) and($a(2) $s(84)) and($a(0) $s(84)) and($a(3) $s(84))) : $c(0)) (or(and($a(1) $s(83)) and($a(2) $s(29)) and($a(0) $s(72)) and($a(3) $s(87))) : Bernoulli($c(0.720606729290203))) ($c(1) : $s(84)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(84)) and($a(2) $s(84)) and($a(0) $s(84)) and($a(3) $s(84))) : $c(0)) (or(and($a(1) $s(83)) and($a(2) $s(29)) and($a(0) $s(72)) and($a(3) $s(87))) : $c(1)) ($c(1) : $s(84)) )
## hash index
84
## 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 0.279393270709797 1 0.720606729290203
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 0.279393270709797 1 0.720606729290203
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 0.279393270709797 1 0.720606729290203
33 0 1 0 1
34 1 2 0 0.279393270709797 1 0.720606729290203
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 0.279393270709797 1 0.720606729290203
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 0.279393270709797 1 0.720606729290203
53 1 2 0 0.279393270709797 1 0.720606729290203
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 0.279393270709797 1 0.720606729290203
64 1 2 0 0.279393270709797 1 0.720606729290203
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 0.279393270709797 1 0.720606729290203
73 1 2 0 0.279393270709797 1 0.720606729290203
74 1 2 0 0.279393270709797 1 0.720606729290203
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 0.279393270709797 1 0.720606729290203
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 0.279393270709797 1 0.720606729290203
172 1 2 0 0.279393270709797 1 0.720606729290203
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 0.279393270709797 1 0.720606729290203
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.279393270709797 1 0.720606729290203
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 0.279393270709797 1 0.720606729290203
192 1 2 0 0.279393270709797 1 0.720606729290203
193 0 1 0 1
194 1 2 0 0.279393270709797 1 0.720606729290203
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 0.279393270709797 1 0.720606729290203
202 0 1 0 1
203 1 2 0 0.279393270709797 1 0.720606729290203
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 0.279393270709797 1 0.720606729290203
212 1 2 0 0.279393270709797 1 0.720606729290203
213 1 2 0 0.279393270709797 1 0.720606729290203
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 0.279393270709797 1 0.720606729290203
222 0 1 0 1
223 1 2 0 0.279393270709797 1 0.720606729290203
224 1 2 0 0.279393270709797 1 0.720606729290203
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 0.279393270709797 1 0.720606729290203
232 1 2 0 0.279393270709797 1 0.720606729290203
233 1 2 0 0.279393270709797 1 0.720606729290203
234 1 2 0 0.279393270709797 1 0.720606729290203
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
45
## name
robot-at(x54, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(85)) and($a(2) $s(85)) and($a(0) $s(85)) and($a(3) $s(85))) : $c(0)) (or(and($a(1) $s(30)) and($a(2) $s(86)) and($a(0) $s(82)) and($a(3) $s(91))) : Bernoulli($c(0.660127448506261))) ($c(1) : $s(85)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(85)) and($a(2) $s(85)) and($a(0) $s(85)) and($a(3) $s(85))) : $c(0)) (or(and($a(1) $s(30)) and($a(2) $s(86)) and($a(0) $s(82)) and($a(3) $s(91))) : $c(1)) ($c(1) : $s(85)) )
## hash index
85
## 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 0.339872551493739 1 0.660127448506261
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 0.339872551493739 1 0.660127448506261
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 0.339872551493739 1 0.660127448506261
34 1 2 0 0.339872551493739 1 0.660127448506261
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 0.339872551493739 1 0.660127448506261
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 0.339872551493739 1 0.660127448506261
93 1 2 0 0.339872551493739 1 0.660127448506261
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 0.339872551493739 1 0.660127448506261
103 0 1 0 1
104 1 2 0 0.339872551493739 1 0.660127448506261
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 0.339872551493739 1 0.660127448506261
113 1 2 0 0.339872551493739 1 0.660127448506261
114 1 2 0 0.339872551493739 1 0.660127448506261
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 0.339872551493739 1 0.660127448506261
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 0.339872551493739 1 0.660127448506261
172 0 1 0 1
173 1 2 0 0.339872551493739 1 0.660127448506261
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 0.339872551493739 1 0.660127448506261
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.339872551493739 1 0.660127448506261
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 0.339872551493739 1 0.660127448506261
192 0 1 0 1
193 1 2 0 0.339872551493739 1 0.660127448506261
194 1 2 0 0.339872551493739 1 0.660127448506261
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 0.339872551493739 1 0.660127448506261
242 1 2 0 0.339872551493739 1 0.660127448506261
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 0.339872551493739 1 0.660127448506261
252 1 2 0 0.339872551493739 1 0.660127448506261
253 1 2 0 0.339872551493739 1 0.660127448506261
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 0.339872551493739 1 0.660127448506261
262 1 2 0 0.339872551493739 1 0.660127448506261
263 0 1 0 1
264 1 2 0 0.339872551493739 1 0.660127448506261
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 0.339872551493739 1 0.660127448506261
272 1 2 0 0.339872551493739 1 0.660127448506261
273 1 2 0 0.339872551493739 1 0.660127448506261
274 1 2 0 0.339872551493739 1 0.660127448506261
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
46
## name
robot-at(x54, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(86)) and($a(2) $s(86)) and($a(0) $s(86)) and($a(3) $s(86))) : $c(0)) (or(and($a(1) $s(85)) and($a(2) $s(87)) and($a(0) $s(83)) and($a(3) $s(92))) : Bernoulli($c(0.660205884493495))) ($c(1) : $s(86)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(86)) and($a(2) $s(86)) and($a(0) $s(86)) and($a(3) $s(86))) : $c(0)) (or(and($a(1) $s(85)) and($a(2) $s(87)) and($a(0) $s(83)) and($a(3) $s(92))) : $c(1)) ($c(1) : $s(86)) )
## hash index
86
## 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 0 1 0 1
14 1 2 0 0.339794115506505 1 0.660205884493495
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 0.339794115506505 1 0.660205884493495
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 1 2 0 0.339794115506505 1 0.660205884493495
34 1 2 0 0.339794115506505 1 0.660205884493495
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 0.339794115506505 1 0.660205884493495
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 0.339794115506505 1 0.660205884493495
93 0 1 0 1
94 1 2 0 0.339794115506505 1 0.660205884493495
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 0.339794115506505 1 0.660205884493495
103 1 2 0 0.339794115506505 1 0.660205884493495
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 0 1 0 1
112 1 2 0 0.339794115506505 1 0.660205884493495
113 1 2 0 0.339794115506505 1 0.660205884493495
114 1 2 0 0.339794115506505 1 0.660205884493495
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 0.339794115506505 1 0.660205884493495
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 0.339794115506505 1 0.660205884493495
172 0 1 0 1
173 0 1 0 1
174 1 2 0 0.339794115506505 1 0.660205884493495
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 0.339794115506505 1 0.660205884493495
182 0 1 0 1
183 1 2 0 0.339794115506505 1 0.660205884493495
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 0.339794115506505 1 0.660205884493495
192 0 1 0 1
193 1 2 0 0.339794115506505 1 0.660205884493495
194 1 2 0 0.339794115506505 1 0.660205884493495
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 0.339794115506505 1 0.660205884493495
242 1 2 0 0.339794115506505 1 0.660205884493495
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 0.339794115506505 1 0.660205884493495
252 1 2 0 0.339794115506505 1 0.660205884493495
253 0 1 0 1
254 1 2 0 0.339794115506505 1 0.660205884493495
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 0.339794115506505 1 0.660205884493495
262 1 2 0 0.339794115506505 1 0.660205884493495
263 1 2 0 0.339794115506505 1 0.660205884493495
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 0 1 0 1
271 1 2 0 0.339794115506505 1 0.660205884493495
272 1 2 0 0.339794115506505 1 0.660205884493495
273 1 2 0 0.339794115506505 1 0.660205884493495
274 1 2 0 0.339794115506505 1 0.660205884493495
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
47
## name
robot-at(x54, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(87)) and($a(2) $s(87)) and($a(0) $s(87)) and($a(3) $s(87))) : $c(0)) (or(and($a(1) $s(86)) and($a(2) $s(31)) and($a(0) $s(84)) and($a(3) $s(93))) : Bernoulli($c(0.697313388466443))) ($c(1) : $s(87)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(87)) and($a(2) $s(87)) and($a(0) $s(87)) and($a(3) $s(87))) : $c(0)) (or(and($a(1) $s(86)) and($a(2) $s(31)) and($a(0) $s(84)) and($a(3) $s(93))) : $c(1)) ($c(1) : $s(87)) )
## hash index
87
## 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 0.302686611533557 1 0.697313388466443
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 0.302686611533557 1 0.697313388466443
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 0.302686611533557 1 0.697313388466443
33 0 1 0 1
34 1 2 0 0.302686611533557 1 0.697313388466443
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 0.302686611533557 1 0.697313388466443
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 0.302686611533557 1 0.697313388466443
53 1 2 0 0.302686611533557 1 0.697313388466443
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 0.302686611533557 1 0.697313388466443
64 1 2 0 0.302686611533557 1 0.697313388466443
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 0.302686611533557 1 0.697313388466443
73 1 2 0 0.302686611533557 1 0.697313388466443
74 1 2 0 0.302686611533557 1 0.697313388466443
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 0.302686611533557 1 0.697313388466443
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 0.302686611533557 1 0.697313388466443
172 1 2 0 0.302686611533557 1 0.697313388466443
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 0.302686611533557 1 0.697313388466443
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.302686611533557 1 0.697313388466443
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 0.302686611533557 1 0.697313388466443
192 1 2 0 0.302686611533557 1 0.697313388466443
193 0 1 0 1
194 1 2 0 0.302686611533557 1 0.697313388466443
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 0.302686611533557 1 0.697313388466443
202 0 1 0 1
203 1 2 0 0.302686611533557 1 0.697313388466443
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 0.302686611533557 1 0.697313388466443
212 1 2 0 0.302686611533557 1 0.697313388466443
213 1 2 0 0.302686611533557 1 0.697313388466443
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 0.302686611533557 1 0.697313388466443
222 0 1 0 1
223 1 2 0 0.302686611533557 1 0.697313388466443
224 1 2 0 0.302686611533557 1 0.697313388466443
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 0.302686611533557 1 0.697313388466443
232 1 2 0 0.302686611533557 1 0.697313388466443
233 1 2 0 0.302686611533557 1 0.697313388466443
234 1 2 0 0.302686611533557 1 0.697313388466443
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
48
## name
robot-at(x6, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(88)) and($a(2) $s(88)) and($a(0) $s(88))) : $c(0)) (or(and($a(1) $s(32)) and($a(2) $s(89)) and($a(3) $s(97))) : Bernoulli($c(0.950619785115123))) ($c(1) : $s(88)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(88)) and($a(2) $s(88)) and($a(0) $s(88))) : $c(0)) (or(and($a(1) $s(32)) and($a(2) $s(89)) and($a(3) $s(97))) : $c(1)) ($c(1) : $s(88)) )
## hash index
88
## 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 0.0493802148848772 1 0.950619785115123
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 0.0493802148848772 1 0.950619785115123
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 0.0493802148848772 1 0.950619785115123
53 1 2 0 0.0493802148848772 1 0.950619785115123
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 0.0493802148848772 1 0.950619785115123
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 0.0493802148848772 1 0.950619785115123
92 0 1 0 1
93 1 2 0 0.0493802148848772 1 0.950619785115123
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 0.0493802148848772 1 0.950619785115123
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 0.0493802148848772 1 0.950619785115123
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 0.0493802148848772 1 0.950619785115123
122 1 2 0 0.0493802148848772 1 0.950619785115123
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 0.0493802148848772 1 0.950619785115123
132 1 2 0 0.0493802148848772 1 0.950619785115123
133 1 2 0 0.0493802148848772 1 0.950619785115123
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 0.0493802148848772 1 0.950619785115123
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 0.0493802148848772 1 0.950619785115123
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
49
## name
robot-at(x6, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(89)) and($a(2) $s(89)) and($a(0) $s(89))) : $c(0)) (or(and($a(1) $s(88)) and($a(2) $s(90)) and($a(3) $s(98))) : Bernoulli($c(0.946186179295182))) ($c(1) : $s(89)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(89)) and($a(2) $s(89)) and($a(0) $s(89))) : $c(0)) (or(and($a(1) $s(88)) and($a(2) $s(90)) and($a(3) $s(98))) : $c(1)) ($c(1) : $s(89)) )
## hash index
89
## 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 0.0538138207048178 1 0.946186179295182
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 0.0538138207048178 1 0.946186179295182
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 0.0538138207048178 1 0.946186179295182
53 1 2 0 0.0538138207048178 1 0.946186179295182
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 0.0538138207048178 1 0.946186179295182
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 0.0538138207048178 1 0.946186179295182
92 0 1 0 1
93 1 2 0 0.0538138207048178 1 0.946186179295182
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 0.0538138207048178 1 0.946186179295182
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 0.0538138207048178 1 0.946186179295182
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 0.0538138207048178 1 0.946186179295182
122 1 2 0 0.0538138207048178 1 0.946186179295182
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 0.0538138207048178 1 0.946186179295182
132 1 2 0 0.0538138207048178 1 0.946186179295182
133 1 2 0 0.0538138207048178 1 0.946186179295182
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 0.0538138207048178 1 0.946186179295182
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 0.0538138207048178 1 0.946186179295182
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
50
## name
robot-at(x6, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(90)) and($a(2) $s(90)) and($a(0) $s(90))) : $c(0)) (or(and($a(1) $s(89)) and($a(2) $s(33)) and($a(3) $s(99))) : Bernoulli($c(0.946066239848733))) ($c(1) : $s(90)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(90)) and($a(2) $s(90)) and($a(0) $s(90))) : $c(0)) (or(and($a(1) $s(89)) and($a(2) $s(33)) and($a(3) $s(99))) : $c(1)) ($c(1) : $s(90)) )
## hash index
90
## 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 0.0539337601512671 1 0.946066239848733
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 0.0539337601512671 1 0.946066239848733
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 0.0539337601512671 1 0.946066239848733
33 1 2 0 0.0539337601512671 1 0.946066239848733
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 0.0539337601512671 1 0.946066239848733
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 0.0539337601512671 1 0.946066239848733
92 1 2 0 0.0539337601512671 1 0.946066239848733
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 0.0539337601512671 1 0.946066239848733
102 0 1 0 1
103 1 2 0 0.0539337601512671 1 0.946066239848733
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 0.0539337601512671 1 0.946066239848733
112 1 2 0 0.0539337601512671 1 0.946066239848733
113 1 2 0 0.0539337601512671 1 0.946066239848733
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 0.0539337601512671 1 0.946066239848733
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 0.0539337601512671 1 0.946066239848733
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 0.0539337601512671 1 0.946066239848733
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 0.0539337601512671 1 0.946066239848733
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
51
## name
robot-at(x69, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(91)) and($a(2) $s(91)) and($a(0) $s(91)) and($a(3) $s(91))) : $c(0)) (or(and($a(1) $s(34)) and($a(2) $s(92)) and($a(0) $s(85)) and($a(3) $s(94))) : Bernoulli($c(0.614548640717801))) ($c(1) : $s(91)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(91)) and($a(2) $s(91)) and($a(0) $s(91)) and($a(3) $s(91))) : $c(0)) (or(and($a(1) $s(34)) and($a(2) $s(92)) and($a(0) $s(85)) and($a(3) $s(94))) : $c(1)) ($c(1) : $s(91)) )
## hash index
91
## 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 0.385451359282199 1 0.614548640717801
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 0.385451359282199 1 0.614548640717801
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 0.385451359282199 1 0.614548640717801
34 1 2 0 0.385451359282199 1 0.614548640717801
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 0.385451359282199 1 0.614548640717801
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 0.385451359282199 1 0.614548640717801
93 1 2 0 0.385451359282199 1 0.614548640717801
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 0.385451359282199 1 0.614548640717801
103 0 1 0 1
104 1 2 0 0.385451359282199 1 0.614548640717801
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 0.385451359282199 1 0.614548640717801
113 1 2 0 0.385451359282199 1 0.614548640717801
114 1 2 0 0.385451359282199 1 0.614548640717801
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 0.385451359282199 1 0.614548640717801
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 0.385451359282199 1 0.614548640717801
172 0 1 0 1
173 1 2 0 0.385451359282199 1 0.614548640717801
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 0.385451359282199 1 0.614548640717801
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.385451359282199 1 0.614548640717801
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 0.385451359282199 1 0.614548640717801
192 0 1 0 1
193 1 2 0 0.385451359282199 1 0.614548640717801
194 1 2 0 0.385451359282199 1 0.614548640717801
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 0.385451359282199 1 0.614548640717801
242 1 2 0 0.385451359282199 1 0.614548640717801
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 0.385451359282199 1 0.614548640717801
252 1 2 0 0.385451359282199 1 0.614548640717801
253 1 2 0 0.385451359282199 1 0.614548640717801
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 0.385451359282199 1 0.614548640717801
262 1 2 0 0.385451359282199 1 0.614548640717801
263 0 1 0 1
264 1 2 0 0.385451359282199 1 0.614548640717801
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 0.385451359282199 1 0.614548640717801
272 1 2 0 0.385451359282199 1 0.614548640717801
273 1 2 0 0.385451359282199 1 0.614548640717801
274 1 2 0 0.385451359282199 1 0.614548640717801
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
52
## name
robot-at(x69, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(92)) and($a(2) $s(92)) and($a(0) $s(92)) and($a(3) $s(92))) : $c(0)) (or(and($a(1) $s(91)) and($a(2) $s(93)) and($a(0) $s(86)) and($a(3) $s(95))) : Bernoulli($c(0.623492973317441))) ($c(1) : $s(92)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(92)) and($a(2) $s(92)) and($a(0) $s(92)) and($a(3) $s(92))) : $c(0)) (or(and($a(1) $s(91)) and($a(2) $s(93)) and($a(0) $s(86)) and($a(3) $s(95))) : $c(1)) ($c(1) : $s(92)) )
## hash index
92
## 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 0 1 0 1
14 1 2 0 0.376507026682559 1 0.623492973317441
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 0.376507026682559 1 0.623492973317441
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 1 2 0 0.376507026682559 1 0.623492973317441
34 1 2 0 0.376507026682559 1 0.623492973317441
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 0.376507026682559 1 0.623492973317441
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 0.376507026682559 1 0.623492973317441
93 0 1 0 1
94 1 2 0 0.376507026682559 1 0.623492973317441
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 0.376507026682559 1 0.623492973317441
103 1 2 0 0.376507026682559 1 0.623492973317441
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 0 1 0 1
112 1 2 0 0.376507026682559 1 0.623492973317441
113 1 2 0 0.376507026682559 1 0.623492973317441
114 1 2 0 0.376507026682559 1 0.623492973317441
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 0.376507026682559 1 0.623492973317441
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 0.376507026682559 1 0.623492973317441
172 0 1 0 1
173 0 1 0 1
174 1 2 0 0.376507026682559 1 0.623492973317441
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 0.376507026682559 1 0.623492973317441
182 0 1 0 1
183 1 2 0 0.376507026682559 1 0.623492973317441
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 0.376507026682559 1 0.623492973317441
192 0 1 0 1
193 1 2 0 0.376507026682559 1 0.623492973317441
194 1 2 0 0.376507026682559 1 0.623492973317441
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 0.376507026682559 1 0.623492973317441
242 1 2 0 0.376507026682559 1 0.623492973317441
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 0.376507026682559 1 0.623492973317441
252 1 2 0 0.376507026682559 1 0.623492973317441
253 0 1 0 1
254 1 2 0 0.376507026682559 1 0.623492973317441
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 0.376507026682559 1 0.623492973317441
262 1 2 0 0.376507026682559 1 0.623492973317441
263 1 2 0 0.376507026682559 1 0.623492973317441
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 0 1 0 1
271 1 2 0 0.376507026682559 1 0.623492973317441
272 1 2 0 0.376507026682559 1 0.623492973317441
273 1 2 0 0.376507026682559 1 0.623492973317441
274 1 2 0 0.376507026682559 1 0.623492973317441
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
53
## name
robot-at(x69, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(93)) and($a(2) $s(93)) and($a(0) $s(93)) and($a(3) $s(93))) : $c(0)) (or(and($a(1) $s(92)) and($a(2) $s(35)) and($a(0) $s(87)) and($a(3) $s(96))) : Bernoulli($c(0.611890508254108))) ($c(1) : $s(93)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(93)) and($a(2) $s(93)) and($a(0) $s(93)) and($a(3) $s(93))) : $c(0)) (or(and($a(1) $s(92)) and($a(2) $s(35)) and($a(0) $s(87)) and($a(3) $s(96))) : $c(1)) ($c(1) : $s(93)) )
## hash index
93
## 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 0.388109491745892 1 0.611890508254108
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 0.388109491745892 1 0.611890508254108
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 0.388109491745892 1 0.611890508254108
33 0 1 0 1
34 1 2 0 0.388109491745892 1 0.611890508254108
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 0.388109491745892 1 0.611890508254108
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 0.388109491745892 1 0.611890508254108
53 1 2 0 0.388109491745892 1 0.611890508254108
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 0.388109491745892 1 0.611890508254108
64 1 2 0 0.388109491745892 1 0.611890508254108
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 0.388109491745892 1 0.611890508254108
73 1 2 0 0.388109491745892 1 0.611890508254108
74 1 2 0 0.388109491745892 1 0.611890508254108
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 0.388109491745892 1 0.611890508254108
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 0.388109491745892 1 0.611890508254108
172 1 2 0 0.388109491745892 1 0.611890508254108
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 0.388109491745892 1 0.611890508254108
182 0 1 0 1
183 0 1 0 1
184 1 2 0 0.388109491745892 1 0.611890508254108
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 0.388109491745892 1 0.611890508254108
192 1 2 0 0.388109491745892 1 0.611890508254108
193 0 1 0 1
194 1 2 0 0.388109491745892 1 0.611890508254108
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 0.388109491745892 1 0.611890508254108
202 0 1 0 1
203 1 2 0 0.388109491745892 1 0.611890508254108
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 0.388109491745892 1 0.611890508254108
212 1 2 0 0.388109491745892 1 0.611890508254108
213 1 2 0 0.388109491745892 1 0.611890508254108
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 0.388109491745892 1 0.611890508254108
222 0 1 0 1
223 1 2 0 0.388109491745892 1 0.611890508254108
224 1 2 0 0.388109491745892 1 0.611890508254108
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 0.388109491745892 1 0.611890508254108
232 1 2 0 0.388109491745892 1 0.611890508254108
233 1 2 0 0.388109491745892 1 0.611890508254108
234 1 2 0 0.388109491745892 1 0.611890508254108
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
54
## name
robot-at(x86, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(94)) and($a(2) $s(94)) and($a(0) $s(94)) and($a(3) $s(94))) : $c(0)) (or(and($a(1) $s(36)) and($a(2) $s(95)) and($a(0) $s(91)) and($a(3) $s(40))) : Bernoulli($c(0.579697950007884))) ($c(1) : $s(94)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(94)) and($a(2) $s(94)) and($a(0) $s(94)) and($a(3) $s(94))) : $c(0)) (or(and($a(1) $s(36)) and($a(2) $s(95)) and($a(0) $s(91)) and($a(3) $s(40))) : $c(1)) ($c(1) : $s(94)) )
## hash index
94
## 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 0.420302049992116 1 0.579697950007884
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 0.420302049992116 1 0.579697950007884
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 0.420302049992116 1 0.579697950007884
32 0 1 0 1
33 1 2 0 0.420302049992116 1 0.579697950007884
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 0.420302049992116 1 0.579697950007884
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 0.420302049992116 1 0.579697950007884
54 1 2 0 0.420302049992116 1 0.579697950007884
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 0.420302049992116 1 0.579697950007884
62 0 1 0 1
63 0 1 0 1
64 1 2 0 0.420302049992116 1 0.579697950007884
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 0.420302049992116 1 0.579697950007884
72 0 1 0 1
73 1 2 0 0.420302049992116 1 0.579697950007884
74 1 2 0 0.420302049992116 1 0.579697950007884
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 0.420302049992116 1 0.579697950007884
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 0.420302049992116 1 0.579697950007884
173 1 2 0 0.420302049992116 1 0.579697950007884
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 0.420302049992116 1 0.579697950007884
182 1 2 0 0.420302049992116 1 0.579697950007884
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 0.420302049992116 1 0.579697950007884
192 1 2 0 0.420302049992116 1 0.579697950007884
193 1 2 0 0.420302049992116 1 0.579697950007884
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 0.420302049992116 1 0.579697950007884
203 0 1 0 1
204 1 2 0 0.420302049992116 1 0.579697950007884
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 0.420302049992116 1 0.579697950007884
213 1 2 0 0.420302049992116 1 0.579697950007884
214 1 2 0 0.420302049992116 1 0.579697950007884
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 0.420302049992116 1 0.579697950007884
222 1 2 0 0.420302049992116 1 0.579697950007884
223 0 1 0 1
224 1 2 0 0.420302049992116 1 0.579697950007884
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 0.420302049992116 1 0.579697950007884
232 1 2 0 0.420302049992116 1 0.579697950007884
233 1 2 0 0.420302049992116 1 0.579697950007884
234 1 2 0 0.420302049992116 1 0.579697950007884
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
55
## name
robot-at(x86, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(95)) and($a(2) $s(95)) and($a(0) $s(95)) and($a(3) $s(95))) : $c(0)) (or(and($a(1) $s(94)) and($a(2) $s(96)) and($a(0) $s(92)) and($a(3) $s(41))) : Bernoulli($c(0.56649920550224))) ($c(1) : $s(95)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(95)) and($a(2) $s(95)) and($a(0) $s(95)) and($a(3) $s(95))) : $c(0)) (or(and($a(1) $s(94)) and($a(2) $s(96)) and($a(0) $s(92)) and($a(3) $s(41))) : $c(1)) ($c(1) : $s(95)) )
## hash index
95
## 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 1 2 0 0.43350079449776 1 0.56649920550224
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 0.43350079449776 1 0.56649920550224
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 0.43350079449776 1 0.56649920550224
32 0 1 0 1
33 0 1 0 1
34 1 2 0 0.43350079449776 1 0.56649920550224
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 0.43350079449776 1 0.56649920550224
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 1 2 0 0.43350079449776 1 0.56649920550224
52 0 1 0 1
53 1 2 0 0.43350079449776 1 0.56649920550224
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 0.43350079449776 1 0.56649920550224
64 1 2 0 0.43350079449776 1 0.56649920550224
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 0.43350079449776 1 0.56649920550224
72 0 1 0 1
73 1 2 0 0.43350079449776 1 0.56649920550224
74 1 2 0 0.43350079449776 1 0.56649920550224
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 0.43350079449776 1 0.56649920550224
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 0.43350079449776 1 0.56649920550224
172 1 2 0 0.43350079449776 1 0.56649920550224
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 1 2 0 0.43350079449776 1 0.56649920550224
183 0 1 0 1
184 1 2 0 0.43350079449776 1 0.56649920550224
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 0.43350079449776 1 0.56649920550224
192 1 2 0 0.43350079449776 1 0.56649920550224
193 0 1 0 1
194 1 2 0 0.43350079449776 1 0.56649920550224
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 0.43350079449776 1 0.56649920550224
203 1 2 0 0.43350079449776 1 0.56649920550224
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 0.43350079449776 1 0.56649920550224
212 1 2 0 0.43350079449776 1 0.56649920550224
213 1 2 0 0.43350079449776 1 0.56649920550224
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 1 0 1
222 1 2 0 0.43350079449776 1 0.56649920550224
223 1 2 0 0.43350079449776 1 0.56649920550224
224 1 2 0 0.43350079449776 1 0.56649920550224
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 0.43350079449776 1 0.56649920550224
232 1 2 0 0.43350079449776 1 0.56649920550224
233 1 2 0 0.43350079449776 1 0.56649920550224
234 1 2 0 0.43350079449776 1 0.56649920550224
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
56
## name
robot-at(x86, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(96)) and($a(2) $s(96)) and($a(0) $s(96)) and($a(3) $s(96))) : $c(0)) (or(and($a(1) $s(95)) and($a(2) $s(37)) and($a(0) $s(93)) and($a(3) $s(42))) : Bernoulli($c(0.598369345264999))) ($c(1) : $s(96)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(96)) and($a(2) $s(96)) and($a(0) $s(96)) and($a(3) $s(96))) : $c(0)) (or(and($a(1) $s(95)) and($a(2) $s(37)) and($a(0) $s(93)) and($a(3) $s(42))) : $c(1)) ($c(1) : $s(96)) )
## hash index
96
## 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 0.401630654735001 1 0.598369345264999
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 0.401630654735001 1 0.598369345264999
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 0.401630654735001 1 0.598369345264999
32 1 2 0 0.401630654735001 1 0.598369345264999
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 0.401630654735001 1 0.598369345264999
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 0.401630654735001 1 0.598369345264999
53 0 1 0 1
54 1 2 0 0.401630654735001 1 0.598369345264999
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 0.401630654735001 1 0.598369345264999
62 0 1 0 1
63 0 1 0 1
64 1 2 0 0.401630654735001 1 0.598369345264999
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 0.401630654735001 1 0.598369345264999
72 1 2 0 0.401630654735001 1 0.598369345264999
73 0 1 0 1
74 1 2 0 0.401630654735001 1 0.598369345264999
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 0.401630654735001 1 0.598369345264999
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 0.401630654735001 1 0.598369345264999
93 1 2 0 0.401630654735001 1 0.598369345264999
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 0.401630654735001 1 0.598369345264999
102 0 1 0 1
103 1 2 0 0.401630654735001 1 0.598369345264999
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 0.401630654735001 1 0.598369345264999
112 1 2 0 0.401630654735001 1 0.598369345264999
113 1 2 0 0.401630654735001 1 0.598369345264999
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 0.401630654735001 1 0.598369345264999
124 1 2 0 0.401630654735001 1 0.598369345264999
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 0.401630654735001 1 0.598369345264999
133 1 2 0 0.401630654735001 1 0.598369345264999
134 1 2 0 0.401630654735001 1 0.598369345264999
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 0.401630654735001 1 0.598369345264999
142 0 1 0 1
143 1 2 0 0.401630654735001 1 0.598369345264999
144 1 2 0 0.401630654735001 1 0.598369345264999
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 0.401630654735001 1 0.598369345264999
152 1 2 0 0.401630654735001 1 0.598369345264999
153 1 2 0 0.401630654735001 1 0.598369345264999
154 1 2 0 0.401630654735001 1 0.598369345264999
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
57
## name
robot-at(x9, y15)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(97)) and($a(2) $s(97)) and($a(0) $s(97)) and($a(3) $s(97))) : $c(0)) (or(and($a(1) $s(38)) and($a(2) $s(98)) and($a(0) $s(88)) and($a(3) $s(46))) : Bernoulli($c(0.908723433060866))) ($c(1) : $s(97)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(97)) and($a(2) $s(97)) and($a(0) $s(97)) and($a(3) $s(97))) : $c(0)) (or(and($a(1) $s(38)) and($a(2) $s(98)) and($a(0) $s(88)) and($a(3) $s(46))) : $c(1)) ($c(1) : $s(97)) )
## hash index
97
## 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 0.0912765669391343 1 0.908723433060866
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 0.0912765669391343 1 0.908723433060866
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 0.0912765669391343 1 0.908723433060866
32 0 1 0 1
33 1 2 0 0.0912765669391343 1 0.908723433060866
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 0.0912765669391343 1 0.908723433060866
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 0.0912765669391343 1 0.908723433060866
54 1 2 0 0.0912765669391343 1 0.908723433060866
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 0.0912765669391343 1 0.908723433060866
62 0 1 0 1
63 0 1 0 1
64 1 2 0 0.0912765669391343 1 0.908723433060866
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 0.0912765669391343 1 0.908723433060866
72 0 1 0 1
73 1 2 0 0.0912765669391343 1 0.908723433060866
74 1 2 0 0.0912765669391343 1 0.908723433060866
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 0.0912765669391343 1 0.908723433060866
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 0.0912765669391343 1 0.908723433060866
173 1 2 0 0.0912765669391343 1 0.908723433060866
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 0.0912765669391343 1 0.908723433060866
182 1 2 0 0.0912765669391343 1 0.908723433060866
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 0.0912765669391343 1 0.908723433060866
192 1 2 0 0.0912765669391343 1 0.908723433060866
193 1 2 0 0.0912765669391343 1 0.908723433060866
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 0.0912765669391343 1 0.908723433060866
203 0 1 0 1
204 1 2 0 0.0912765669391343 1 0.908723433060866
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 0.0912765669391343 1 0.908723433060866
213 1 2 0 0.0912765669391343 1 0.908723433060866
214 1 2 0 0.0912765669391343 1 0.908723433060866
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 0.0912765669391343 1 0.908723433060866
222 1 2 0 0.0912765669391343 1 0.908723433060866
223 0 1 0 1
224 1 2 0 0.0912765669391343 1 0.908723433060866
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 0.0912765669391343 1 0.908723433060866
232 1 2 0 0.0912765669391343 1 0.908723433060866
233 1 2 0 0.0912765669391343 1 0.908723433060866
234 1 2 0 0.0912765669391343 1 0.908723433060866
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
58
## name
robot-at(x9, y20)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(98)) and($a(2) $s(98)) and($a(0) $s(98)) and($a(3) $s(98))) : $c(0)) (or(and($a(1) $s(97)) and($a(2) $s(99)) and($a(0) $s(89)) and($a(3) $s(47))) : Bernoulli($c(0.935109259585213))) ($c(1) : $s(98)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(98)) and($a(2) $s(98)) and($a(0) $s(98)) and($a(3) $s(98))) : $c(0)) (or(and($a(1) $s(97)) and($a(2) $s(99)) and($a(0) $s(89)) and($a(3) $s(47))) : $c(1)) ($c(1) : $s(98)) )
## hash index
98
## 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 1 2 0 0.0648907404147873 1 0.935109259585213
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 0.0648907404147873 1 0.935109259585213
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 0.0648907404147873 1 0.935109259585213
32 0 1 0 1
33 0 1 0 1
34 1 2 0 0.0648907404147873 1 0.935109259585213
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 0.0648907404147873 1 0.935109259585213
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 1 2 0 0.0648907404147873 1 0.935109259585213
52 0 1 0 1
53 1 2 0 0.0648907404147873 1 0.935109259585213
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 0.0648907404147873 1 0.935109259585213
64 1 2 0 0.0648907404147873 1 0.935109259585213
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 0.0648907404147873 1 0.935109259585213
72 0 1 0 1
73 1 2 0 0.0648907404147873 1 0.935109259585213
74 1 2 0 0.0648907404147873 1 0.935109259585213
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 0.0648907404147873 1 0.935109259585213
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 0.0648907404147873 1 0.935109259585213
172 1 2 0 0.0648907404147873 1 0.935109259585213
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 1 2 0 0.0648907404147873 1 0.935109259585213
183 0 1 0 1
184 1 2 0 0.0648907404147873 1 0.935109259585213
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 0.0648907404147873 1 0.935109259585213
192 1 2 0 0.0648907404147873 1 0.935109259585213
193 0 1 0 1
194 1 2 0 0.0648907404147873 1 0.935109259585213
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 0.0648907404147873 1 0.935109259585213
203 1 2 0 0.0648907404147873 1 0.935109259585213
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 0.0648907404147873 1 0.935109259585213
212 1 2 0 0.0648907404147873 1 0.935109259585213
213 1 2 0 0.0648907404147873 1 0.935109259585213
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 1 0 1
222 1 2 0 0.0648907404147873 1 0.935109259585213
223 1 2 0 0.0648907404147873 1 0.935109259585213
224 1 2 0 0.0648907404147873 1 0.935109259585213
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 0.0648907404147873 1 0.935109259585213
232 1 2 0 0.0648907404147873 1 0.935109259585213
233 1 2 0 0.0648907404147873 1 0.935109259585213
234 1 2 0 0.0648907404147873 1 0.935109259585213
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
59
## name
robot-at(x9, y27)
## number of values
2
## values
0 false
1 true
## formula
switch( (or($s(27) and($a(1) $s(99)) and($a(2) $s(99)) and($a(0) $s(99)) and($a(3) $s(99))) : $c(0)) (or(and($a(1) $s(98)) and($a(2) $s(39)) and($a(0) $s(90)) and($a(3) $s(48))) : Bernoulli($c(0.90196917627595))) ($c(1) : $s(99)) )
## determinized formula
switch( (or($s(27) and($a(1) $s(99)) and($a(2) $s(99)) and($a(0) $s(99)) and($a(3) $s(99))) : $c(0)) (or(and($a(1) $s(98)) and($a(2) $s(39)) and($a(0) $s(90)) and($a(3) $s(48))) : $c(1)) ($c(1) : $s(99)) )
## hash index
99
## 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 0.0980308237240503 1 0.90196917627595
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 0.0980308237240503 1 0.90196917627595
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 0.0980308237240503 1 0.90196917627595
32 1 2 0 0.0980308237240503 1 0.90196917627595
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 0.0980308237240503 1 0.90196917627595
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 0.0980308237240503 1 0.90196917627595
53 0 1 0 1
54 1 2 0 0.0980308237240503 1 0.90196917627595
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 0.0980308237240503 1 0.90196917627595
62 0 1 0 1
63 0 1 0 1
64 1 2 0 0.0980308237240503 1 0.90196917627595
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 0.0980308237240503 1 0.90196917627595
72 1 2 0 0.0980308237240503 1 0.90196917627595
73 0 1 0 1
74 1 2 0 0.0980308237240503 1 0.90196917627595
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 0.0980308237240503 1 0.90196917627595
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 0.0980308237240503 1 0.90196917627595
93 1 2 0 0.0980308237240503 1 0.90196917627595
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 0.0980308237240503 1 0.90196917627595
102 0 1 0 1
103 1 2 0 0.0980308237240503 1 0.90196917627595
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 0.0980308237240503 1 0.90196917627595
112 1 2 0 0.0980308237240503 1 0.90196917627595
113 1 2 0 0.0980308237240503 1 0.90196917627595
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 0.0980308237240503 1 0.90196917627595
124 1 2 0 0.0980308237240503 1 0.90196917627595
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 0.0980308237240503 1 0.90196917627595
133 1 2 0 0.0980308237240503 1 0.90196917627595
134 1 2 0 0.0980308237240503 1 0.90196917627595
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 0.0980308237240503 1 0.90196917627595
142 0 1 0 1
143 1 2 0 0.0980308237240503 1 0.90196917627595
144 1 2 0 0.0980308237240503 1 0.90196917627595
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 0.0980308237240503 1 0.90196917627595
152 1 2 0 0.0980308237240503 1 0.90196917627595
153 1 2 0 0.0980308237240503 1 0.90196917627595
154 1 2 0 0.0980308237240503 1 0.90196917627595
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
100
## 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
42 5
## kleene state fluent hash keys (first line is the number of keys)
4
1 5
3 5
37 5
42 5

## index
2

## state fluent hash keys (first line is the number of keys)
4
0 10
2 10
6 5
43 5
## kleene state fluent hash keys (first line is the number of keys)
4
0 15
2 15
6 5
43 5

## index
3

## state fluent hash keys (first line is the number of keys)
4
1 10
3 10
7 5
45 5
## kleene state fluent hash keys (first line is the number of keys)
4
1 15
3 15
7 5
45 5

## index
4

## state fluent hash keys (first line is the number of keys)
4
4 5
12 5
38 5
46 5
## kleene state fluent hash keys (first line is the number of keys)
4
4 5
12 5
38 5
46 5

## index
5

## state fluent hash keys (first line is the number of keys)
4
5 5
13 5
39 5
48 5
## kleene state fluent hash keys (first line is the number of keys)
4
5 5
13 5
39 5
48 5

## index
6

## state fluent hash keys (first line is the number of keys)
4
2 20
6 10
8 5
49 5
## kleene state fluent hash keys (first line is the number of keys)
4
2 45
6 15
8 5
49 5

## index
7

## state fluent hash keys (first line is the number of keys)
4
3 20
7 10
9 5
51 5
## kleene state fluent hash keys (first line is the number of keys)
4
3 45
7 15
9 5
51 5

## index
8

## state fluent hash keys (first line is the number of keys)
4
6 20
8 10
10 5
52 5
## kleene state fluent hash keys (first line is the number of keys)
4
6 45
8 15
10 5
52 5

## index
9

## state fluent hash keys (first line is the number of keys)
4
7 20
9 10
11 5
54 5
## kleene state fluent hash keys (first line is the number of keys)
4
7 45
9 15
11 5
54 5

## index
10

## state fluent hash keys (first line is the number of keys)
4
8 20
10 10
14 5
55 5
## kleene state fluent hash keys (first line is the number of keys)
4
8 45
10 15
14 5
55 5

## index
11

## state fluent hash keys (first line is the number of keys)
4
9 20
11 10
15 5
57 5
## kleene state fluent hash keys (first line is the number of keys)
4
9 45
11 15
15 5
57 5

## index
12

## state fluent hash keys (first line is the number of keys)
4
4 10
12 10
20 5
58 5
## kleene state fluent hash keys (first line is the number of keys)
4
4 15
12 15
20 5
58 5

## index
13

## state fluent hash keys (first line is the number of keys)
4
5 10
13 10
21 5
60 5
## kleene state fluent hash keys (first line is the number of keys)
4
5 15
13 15
21 5
60 5

## index
14

## state fluent hash keys (first line is the number of keys)
4
10 20
14 10
16 5
61 5
## kleene state fluent hash keys (first line is the number of keys)
4
10 45
14 15
16 5
61 5

## index
15

## state fluent hash keys (first line is the number of keys)
4
11 20
15 10
17 5
63 5
## kleene state fluent hash keys (first line is the number of keys)
4
11 45
15 15
17 5
63 5

## index
16

## state fluent hash keys (first line is the number of keys)
4
14 20
16 10
18 5
64 5
## kleene state fluent hash keys (first line is the number of keys)
4
14 45
16 15
18 5
64 5

## index
17

## state fluent hash keys (first line is the number of keys)
4
15 20
17 10
19 5
66 5
## kleene state fluent hash keys (first line is the number of keys)
4
15 45
17 15
19 5
66 5

## index
18

## state fluent hash keys (first line is the number of keys)
4
16 20
18 10
22 5
67 5
## kleene state fluent hash keys (first line is the number of keys)
4
16 45
18 15
22 5
67 5

## index
19

## state fluent hash keys (first line is the number of keys)
4
17 20
19 10
23 5
69 5
## kleene state fluent hash keys (first line is the number of keys)
4
17 45
19 15
23 5
69 5

## index
20

## state fluent hash keys (first line is the number of keys)
4
12 20
20 10
28 5
70 5
## kleene state fluent hash keys (first line is the number of keys)
4
12 45
20 15
28 5
70 5

## index
21

## state fluent hash keys (first line is the number of keys)
4
13 20
21 10
29 5
72 5
## kleene state fluent hash keys (first line is the number of keys)
4
13 45
21 15
29 5
72 5

## index
22

## state fluent hash keys (first line is the number of keys)
4
18 20
22 10
24 5
73 5
## kleene state fluent hash keys (first line is the number of keys)
4
18 45
22 15
24 5
73 5

## index
23

## state fluent hash keys (first line is the number of keys)
4
19 20
23 10
25 5
75 5
## kleene state fluent hash keys (first line is the number of keys)
4
19 45
23 15
25 5
75 5

## index
24

## state fluent hash keys (first line is the number of keys)
4
22 20
24 10
26 5
76 5
## kleene state fluent hash keys (first line is the number of keys)
4
22 45
24 15
26 5
76 5

## index
25

## state fluent hash keys (first line is the number of keys)
4
23 20
25 10
27 5
78 5
## kleene state fluent hash keys (first line is the number of keys)
4
23 45
25 15
27 5
78 5

## index
26

## state fluent hash keys (first line is the number of keys)
3
24 20
26 10
79 5
## kleene state fluent hash keys (first line is the number of keys)
3
24 45
26 15
79 5

## index
27

## state fluent hash keys (first line is the number of keys)
101
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 5
42 10
43 10
44 5
45 10
46 10
47 5
48 10
49 10
50 5
51 10
52 10
53 5
54 10
55 10
56 5
57 10
58 10
59 5
60 10
61 10
62 5
63 10
64 10
65 5
66 10
67 10
68 5
69 10
70 10
71 5
72 10
73 10
74 5
75 10
76 10
77 5
78 10
79 10
80 5
81 5
82 5
83 5
84 5
85 5
86 5
87 5
88 5
89 5
90 5
91 5
92 5
93 5
94 5
95 5
96 5
97 5
98 5
99 5
100 1
## kleene state fluent hash keys (first line is the number of keys)
101
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 5
42 15
43 15
44 5
45 15
46 15
47 5
48 15
49 15
50 5
51 15
52 15
53 5
54 15
55 15
56 5
57 15
58 15
59 5
60 15
61 15
62 5
63 15
64 15
65 5
66 15
67 15
68 5
69 15
70 15
71 5
72 15
73 15
74 5
75 15
76 15
77 5
78 15
79 15
80 5
81 5
82 5
83 5
84 5
85 5
86 5
87 5
88 5
89 5
90 5
91 5
92 5
93 5
94 5
95 5
96 5
97 5
98 5
99 5
100 1

## index
28

## state fluent hash keys (first line is the number of keys)
4
20 40
28 20
30 10
82 10
## kleene state fluent hash keys (first line is the number of keys)
4
20 135
28 45
30 15
82 15

## index
29

## state fluent hash keys (first line is the number of keys)
4
21 40
29 20
31 10
84 10
## kleene state fluent hash keys (first line is the number of keys)
4
21 135
29 45
31 15
84 15

## index
30

## state fluent hash keys (first line is the number of keys)
4
28 40
30 20
34 10
85 10
## kleene state fluent hash keys (first line is the number of keys)
4
28 135
30 45
34 15
85 15

## index
31

## state fluent hash keys (first line is the number of keys)
4
29 40
31 20
35 10
87 10
## kleene state fluent hash keys (first line is the number of keys)
4
29 135
31 45
35 15
87 15

## index
32

## state fluent hash keys (first line is the number of keys)
3
32 10
38 20
88 10
## kleene state fluent hash keys (first line is the number of keys)
3
32 15
38 45
88 15

## index
33

## state fluent hash keys (first line is the number of keys)
3
33 10
39 20
90 10
## kleene state fluent hash keys (first line is the number of keys)
3
33 15
39 45
90 15

## index
34

## state fluent hash keys (first line is the number of keys)
4
30 40
34 20
36 20
91 10
## kleene state fluent hash keys (first line is the number of keys)
4
30 135
34 45
36 45
91 15

## index
35

## state fluent hash keys (first line is the number of keys)
4
31 40
35 20
37 20
93 10
## kleene state fluent hash keys (first line is the number of keys)
4
31 135
35 45
37 45
93 15

## index
36

## state fluent hash keys (first line is the number of keys)
4
0 40
34 40
36 40
94 10
## kleene state fluent hash keys (first line is the number of keys)
4
0 135
34 135
36 135
94 15

## index
37

## state fluent hash keys (first line is the number of keys)
4
1 40
35 40
37 40
96 10
## kleene state fluent hash keys (first line is the number of keys)
4
1 135
35 135
37 135
96 15

## index
38

## state fluent hash keys (first line is the number of keys)
4
4 40
32 20
38 40
97 10
## kleene state fluent hash keys (first line is the number of keys)
4
4 135
32 45
38 135
97 15

## index
39

## state fluent hash keys (first line is the number of keys)
4
5 40
33 20
39 40
99 10
## kleene state fluent hash keys (first line is the number of keys)
4
5 135
33 45
39 135
99 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 10
43 20
94 20
## kleene state fluent hash keys (first line is the number of keys)
5
0 405
40 45
41 15
43 45
94 45

## index
1

## state fluent hash keys (first line is the number of keys)
5
40 40
41 20
42 20
44 10
95 10
## kleene state fluent hash keys (first line is the number of keys)
5
40 135
41 45
42 45
44 15
95 15

## index
2

## state fluent hash keys (first line is the number of keys)
5
1 80
41 40
42 40
45 20
96 20
## kleene state fluent hash keys (first line is the number of keys)
5
1 405
41 135
42 135
45 45
96 45

## index
3

## state fluent hash keys (first line is the number of keys)
5
2 80
40 80
43 40
44 20
49 20
## kleene state fluent hash keys (first line is the number of keys)
5
2 405
40 405
43 135
44 45
49 45

## index
4

## state fluent hash keys (first line is the number of keys)
5
41 80
43 80
44 40
45 40
50 10
## kleene state fluent hash keys (first line is the number of keys)
5
41 405
43 405
44 135
45 135
50 15

## index
5

## state fluent hash keys (first line is the number of keys)
5
3 80
42 80
44 80
45 80
51 20
## kleene state fluent hash keys (first line is the number of keys)
5
3 405
42 405
44 405
45 405
51 45

## index
6

## state fluent hash keys (first line is the number of keys)
5
4 80
46 20
47 10
58 20
97 20
## kleene state fluent hash keys (first line is the number of keys)
5
4 405
46 45
47 15
58 45
97 45

## index
7

## state fluent hash keys (first line is the number of keys)
5
46 40
47 20
48 20
59 10
98 10
## kleene state fluent hash keys (first line is the number of keys)
5
46 135
47 45
48 45
59 15
98 15

## index
8

## state fluent hash keys (first line is the number of keys)
5
5 80
47 40
48 40
60 20
99 20
## kleene state fluent hash keys (first line is the number of keys)
5
5 405
47 135
48 135
60 45
99 45

## index
9

## state fluent hash keys (first line is the number of keys)
5
6 80
43 160
49 40
50 20
52 20
## kleene state fluent hash keys (first line is the number of keys)
5
6 405
43 1215
49 135
50 45
52 45

## index
10

## state fluent hash keys (first line is the number of keys)
5
44 160
49 80
50 40
51 40
53 10
## kleene state fluent hash keys (first line is the number of keys)
5
44 1215
49 405
50 135
51 135
53 15

## index
11

## state fluent hash keys (first line is the number of keys)
5
7 80
45 160
50 80
51 80
54 20
## kleene state fluent hash keys (first line is the number of keys)
5
7 405
45 1215
50 405
51 405
54 45

## index
12

## state fluent hash keys (first line is the number of keys)
5
8 80
49 160
52 40
53 20
55 20
## kleene state fluent hash keys (first line is the number of keys)
5
8 405
49 1215
52 135
53 45
55 45

## index
13

## state fluent hash keys (first line is the number of keys)
5
50 160
52 80
53 40
54 40
56 10
## kleene state fluent hash keys (first line is the number of keys)
5
50 1215
52 405
53 135
54 135
56 15

## index
14

## state fluent hash keys (first line is the number of keys)
5
9 80
51 160
53 80
54 80
57 20
## kleene state fluent hash keys (first line is the number of keys)
5
9 405
51 1215
53 405
54 405
57 45

## index
15

## state fluent hash keys (first line is the number of keys)
5
10 80
52 160
55 40
56 20
61 20
## kleene state fluent hash keys (first line is the number of keys)
5
10 405
52 1215
55 135
56 45
61 45

## index
16

## state fluent hash keys (first line is the number of keys)
5
53 160
55 80
56 40
57 40
62 10
## kleene state fluent hash keys (first line is the number of keys)
5
53 1215
55 405
56 135
57 135
62 15

## index
17

## state fluent hash keys (first line is the number of keys)
5
11 80
54 160
56 80
57 80
63 20
## kleene state fluent hash keys (first line is the number of keys)
5
11 405
54 1215
56 405
57 405
63 45

## index
18

## state fluent hash keys (first line is the number of keys)
5
12 80
46 80
58 40
59 20
70 20
## kleene state fluent hash keys (first line is the number of keys)
5
12 405
46 405
58 135
59 45
70 45

## index
19

## state fluent hash keys (first line is the number of keys)
5
47 80
58 80
59 40
60 40
71 10
## kleene state fluent hash keys (first line is the number of keys)
5
47 405
58 405
59 135
60 135
71 15

## index
20

## state fluent hash keys (first line is the number of keys)
5
13 80
48 80
59 80
60 80
72 20
## kleene state fluent hash keys (first line is the number of keys)
5
13 405
48 405
59 405
60 405
72 45

## index
21

## state fluent hash keys (first line is the number of keys)
5
14 80
55 160
61 40
62 20
64 20
## kleene state fluent hash keys (first line is the number of keys)
5
14 405
55 1215
61 135
62 45
64 45

## index
22

## state fluent hash keys (first line is the number of keys)
5
56 160
61 80
62 40
63 40
65 10
## kleene state fluent hash keys (first line is the number of keys)
5
56 1215
61 405
62 135
63 135
65 15

## index
23

## state fluent hash keys (first line is the number of keys)
5
15 80
57 160
62 80
63 80
66 20
## kleene state fluent hash keys (first line is the number of keys)
5
15 405
57 1215
62 405
63 405
66 45

## index
24

## state fluent hash keys (first line is the number of keys)
5
16 80
61 160
64 40
65 20
67 20
## kleene state fluent hash keys (first line is the number of keys)
5
16 405
61 1215
64 135
65 45
67 45

## index
25

## state fluent hash keys (first line is the number of keys)
5
62 160
64 80
65 40
66 40
68 10
## kleene state fluent hash keys (first line is the number of keys)
5
62 1215
64 405
65 135
66 135
68 15

## index
26

## state fluent hash keys (first line is the number of keys)
5
17 80
63 160
65 80
66 80
69 20
## kleene state fluent hash keys (first line is the number of keys)
5
17 405
63 1215
65 405
66 405
69 45

## index
27

## state fluent hash keys (first line is the number of keys)
5
18 80
64 160
67 40
68 20
73 20
## kleene state fluent hash keys (first line is the number of keys)
5
18 405
64 1215
67 135
68 45
73 45

## index
28

## state fluent hash keys (first line is the number of keys)
5
65 160
67 80
68 40
69 40
74 10
## kleene state fluent hash keys (first line is the number of keys)
5
65 1215
67 405
68 135
69 135
74 15

## index
29

## state fluent hash keys (first line is the number of keys)
5
19 80
66 160
68 80
69 80
75 20
## kleene state fluent hash keys (first line is the number of keys)
5
19 405
66 1215
68 405
69 405
75 45

## index
30

## state fluent hash keys (first line is the number of keys)
5
20 80
58 160
70 40
71 20
82 20
## kleene state fluent hash keys (first line is the number of keys)
5
20 405
58 1215
70 135
71 45
82 45

## index
31

## state fluent hash keys (first line is the number of keys)
5
59 160
70 80
71 40
72 40
83 10
## kleene state fluent hash keys (first line is the number of keys)
5
59 1215
70 405
71 135
72 135
83 15

## index
32

## state fluent hash keys (first line is the number of keys)
5
21 80
60 160
71 80
72 80
84 20
## kleene state fluent hash keys (first line is the number of keys)
5
21 405
60 1215
71 405
72 405
84 45

## index
33

## state fluent hash keys (first line is the number of keys)
5
22 80
67 160
73 40
74 20
76 20
## kleene state fluent hash keys (first line is the number of keys)
5
22 405
67 1215
73 135
74 45
76 45

## index
34

## state fluent hash keys (first line is the number of keys)
5
68 160
73 80
74 40
75 40
77 10
## kleene state fluent hash keys (first line is the number of keys)
5
68 1215
73 405
74 135
75 135
77 15

## index
35

## state fluent hash keys (first line is the number of keys)
5
23 80
69 160
74 80
75 80
78 20
## kleene state fluent hash keys (first line is the number of keys)
5
23 405
69 1215
74 405
75 405
78 45

## index
36

## state fluent hash keys (first line is the number of keys)
5
24 80
73 160
76 40
77 20
79 20
## kleene state fluent hash keys (first line is the number of keys)
5
24 405
73 1215
76 135
77 45
79 45

## index
37

## state fluent hash keys (first line is the number of keys)
5
74 160
76 80
77 40
78 40
80 10
## kleene state fluent hash keys (first line is the number of keys)
5
74 1215
76 405
77 135
78 135
80 15

## index
38

## state fluent hash keys (first line is the number of keys)
5
25 40
75 160
77 80
78 80
81 10
## kleene state fluent hash keys (first line is the number of keys)
5
25 135
75 1215
77 405
78 405
81 15

## index
39

## state fluent hash keys (first line is the number of keys)
4
26 40
76 160
79 40
80 20
## kleene state fluent hash keys (first line is the number of keys)
4
26 135
76 1215
79 135
80 45

## index
40

## state fluent hash keys (first line is the number of keys)
4
77 160
79 80
80 40
81 20
## kleene state fluent hash keys (first line is the number of keys)
4
77 1215
79 405
80 135
81 45

## index
41

## state fluent hash keys (first line is the number of keys)
4
27 20
78 160
80 80
81 40
## kleene state fluent hash keys (first line is the number of keys)
4
27 45
78 1215
80 405
81 135

## index
42

## state fluent hash keys (first line is the number of keys)
5
28 80
70 160
82 40
83 20
85 20
## kleene state fluent hash keys (first line is the number of keys)
5
28 405
70 1215
82 135
83 45
85 45

## index
43

## state fluent hash keys (first line is the number of keys)
5
71 160
82 80
83 40
84 40
86 10
## kleene state fluent hash keys (first line is the number of keys)
5
71 1215
82 405
83 135
84 135
86 15

## index
44

## state fluent hash keys (first line is the number of keys)
5
29 80
72 160
83 80
84 80
87 20
## kleene state fluent hash keys (first line is the number of keys)
5
29 405
72 1215
83 405
84 405
87 45

## index
45

## state fluent hash keys (first line is the number of keys)
5
30 80
82 160
85 40
86 20
91 20
## kleene state fluent hash keys (first line is the number of keys)
5
30 405
82 1215
85 135
86 45
91 45

## index
46

## state fluent hash keys (first line is the number of keys)
5
83 160
85 80
86 40
87 40
92 10
## kleene state fluent hash keys (first line is the number of keys)
5
83 1215
85 405
86 135
87 135
92 15

## index
47

## state fluent hash keys (first line is the number of keys)
5
31 80
84 160
86 80
87 80
93 20
## kleene state fluent hash keys (first line is the number of keys)
5
31 405
84 1215
86 405
87 405
93 45

## index
48

## state fluent hash keys (first line is the number of keys)
4
32 40
88 20
89 10
97 40
## kleene state fluent hash keys (first line is the number of keys)
4
32 135
88 45
89 15
97 135

## index
49

## state fluent hash keys (first line is the number of keys)
4
88 40
89 20
90 20
98 20
## kleene state fluent hash keys (first line is the number of keys)
4
88 135
89 45
90 45
98 45

## index
50

## state fluent hash keys (first line is the number of keys)
4
33 40
89 40
90 40
99 40
## kleene state fluent hash keys (first line is the number of keys)
4
33 135
89 135
90 135
99 135

## index
51

## state fluent hash keys (first line is the number of keys)
5
34 80
85 160
91 40
92 20
94 40
## kleene state fluent hash keys (first line is the number of keys)
5
34 405
85 1215
91 135
92 45
94 135

## index
52

## state fluent hash keys (first line is the number of keys)
5
86 160
91 80
92 40
93 40
95 20
## kleene state fluent hash keys (first line is the number of keys)
5
86 1215
91 405
92 135
93 135
95 45

## index
53

## state fluent hash keys (first line is the number of keys)
5
35 80
87 160
92 80
93 80
96 40
## kleene state fluent hash keys (first line is the number of keys)
5
35 405
87 1215
92 405
93 405
96 135

## index
54

## state fluent hash keys (first line is the number of keys)
5
36 80
40 160
91 160
94 80
95 40
## kleene state fluent hash keys (first line is the number of keys)
5
36 405
40 1215
91 1215
94 405
95 135

## index
55

## state fluent hash keys (first line is the number of keys)
5
41 160
92 160
94 160
95 80
96 80
## kleene state fluent hash keys (first line is the number of keys)
5
41 1215
92 1215
94 1215
95 405
96 405

## index
56

## state fluent hash keys (first line is the number of keys)
5
37 80
42 160
93 160
95 160
96 160
## kleene state fluent hash keys (first line is the number of keys)
5
37 405
42 1215
93 1215
95 1215
96 1215

## index
57

## state fluent hash keys (first line is the number of keys)
5
38 80
46 160
88 80
97 80
98 40
## kleene state fluent hash keys (first line is the number of keys)
5
38 405
46 1215
88 405
97 405
98 135

## index
58

## state fluent hash keys (first line is the number of keys)
5
47 160
89 80
97 160
98 80
99 80
## kleene state fluent hash keys (first line is the number of keys)
5
47 1215
89 405
97 1215
98 405
99 405

## index
59

## state fluent hash keys (first line is the number of keys)
5
39 80
48 160
90 80
98 160
99 160
## kleene state fluent hash keys (first line is the number of keys)
5
39 405
48 1215
90 405
98 1215
99 1215



#####TRAINING SET#####
8
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 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 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 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 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 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 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 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 
