Improved regression test
[libdai.git] / tests / testfast.fg
1 # Factor graph made by utils/createfg
2 # type = GRID
3 # states = 2
4 # n1 = 4
5 # n2 = 4
6 # options = [mean_th=0,mean_w=0,sigma_th=1,sigma_w=1]
7 # N = 16
8 # seed = 123
9 40
10
11 2
12 0 4
13 2 2
14 4
15 0 3.02912
16 1 0.330129
17 2 0.330129
18 3 3.02912
19
20 2
21 0 1
22 2 2
23 4
24 0 1.01944
25 1 0.98093
26 2 0.98093
27 3 1.01944
28
29 2
30 1 5
31 2 2
32 4
33 0 4.27314
34 1 0.23402
35 2 0.23402
36 3 4.27314
37
38 2
39 1 2
40 2 2
41 4
42 0 0.732324
43 1 1.36552
44 2 1.36552
45 3 0.732324
46
47 2
48 2 6
49 2 2
50 4
51 0 2.31161
52 1 0.432599
53 2 0.432599
54 3 2.31161
55
56 2
57 2 3
58 2 2
59 4
60 0 1.38123
61 1 0.723993
62 2 0.723993
63 3 1.38123
64
65 2
66 3 7
67 2 2
68 4
69 0 0.25634
70 1 3.90107
71 2 3.90107
72 3 0.25634
73
74 2
75 4 8
76 2 2
77 4
78 0 8.05109
79 1 0.124207
80 2 0.124207
81 3 8.05109
82
83 2
84 4 5
85 2 2
86 4
87 0 0.563912
88 1 1.77333
89 2 1.77333
90 3 0.563912
91
92 2
93 5 9
94 2 2
95 4
96 0 2.54815
97 1 0.392442
98 2 0.392442
99 3 2.54815
100
101 2
102 5 6
103 2 2
104 4
105 0 9.81938
106 1 0.101839
107 2 0.101839
108 3 9.81938
109
110 2
111 6 10
112 2 2
113 4
114 0 1.22986
115 1 0.813103
116 2 0.813103
117 3 1.22986
118
119 2
120 6 7
121 2 2
122 4
123 0 0.372456
124 1 2.68488
125 2 2.68488
126 3 0.372456
127
128 2
129 7 11
130 2 2
131 4
132 0 0.422103
133 1 2.36909
134 2 2.36909
135 3 0.422103
136
137 2
138 8 12
139 2 2
140 4
141 0 2.26878
142 1 0.440766
143 2 0.440766
144 3 2.26878
145
146 2
147 8 9
148 2 2
149 4
150 0 0.107424
151 1 9.30894
152 2 9.30894
153 3 0.107424
154
155 2
156 9 13
157 2 2
158 4
159 0 1.58546
160 1 0.630732
161 2 0.630732
162 3 1.58546
163
164 2
165 9 10
166 2 2
167 4
168 0 0.410225
169 1 2.43769
170 2 2.43769
171 3 0.410225
172
173 2
174 10 14
175 2 2
176 4
177 0 0.387175
178 1 2.58281
179 2 2.58281
180 3 0.387175
181
182 2
183 10 11
184 2 2
185 4
186 0 6.62126
187 1 0.151029
188 2 0.151029
189 3 6.62126
190
191 2
192 11 15
193 2 2
194 4
195 0 0.375367
196 1 2.66406
197 2 2.66406
198 3 0.375367
199
200 2
201 12 13
202 2 2
203 4
204 0 0.75938
205 1 1.31686
206 2 1.31686
207 3 0.75938
208
209 2
210 13 14
211 2 2
212 4
213 0 0.567725
214 1 1.76141
215 2 1.76141
216 3 0.567725
217
218 2
219 14 15
220 2 2
221 4
222 0 0.512268
223 1 1.9521
224 2 1.9521
225 3 0.512268
226
227 1
228 0
229 2
230 2
231 0 0.545904
232 1 1.83182
233
234 1
235 1
236 2
237 2
238 0 1.66368
239 1 0.601078
240
241 1
242 2
243 2
244 2
245 0 1.07792
246 1 0.927712
247
248 1
249 3
250 2
251 2
252 0 0.292063
253 1 3.42392
254
255 1
256 4
257 2
258 2
259 0 1.78654
260 1 0.55974
261
262 1
263 5
264 2
265 2
266 0 1.16921
267 1 0.85528
268
269 1
270 6
271 2
272 2
273 0 0.972681
274 1 1.02809
275
276 1
277 7
278 2
279 2
280 0 0.958452
281 1 1.04335
282
283 1
284 8
285 2
286 2
287 0 0.433738
288 1 2.30554
289
290 1
291 9
292 2
293 2
294 0 1.39047
295 1 0.719179
296
297 1
298 10
299 2
300 2
301 0 1.43407
302 1 0.697314
303
304 1
305 11
306 2
307 2
308 0 1.52814
309 1 0.654389
310
311 1
312 12
313 2
314 2
315 0 0.804229
316 1 1.24343
317
318 1
319 13
320 2
321 2
322 0 11.0545
323 1 0.0904606
324
325 1
326 14
327 2
328 2
329 0 0.447773
330 1 2.23327
331
332 1
333 15
334 2
335 2
336 0 2.45654
337 1 0.407076