Improved regression test (again) to make it reproducible
[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=0.5,sigma_w=0.5]
7 # N = 16
8 # seed = 123
9 40
10
11 2
12 0 4
13 2 2
14 4
15 0 1.74044
16 1 0.574568
17 2 0.574568
18 3 1.74044
19
20 2
21 0 1
22 2 2
23 4
24 0 1.00967
25 1 0.990419
26 2 0.990419
27 3 1.00967
28
29 2
30 1 5
31 2 2
32 4
33 0 2.06716
34 1 0.483756
35 2 0.483756
36 3 2.06716
37
38 2
39 1 2
40 2 2
41 4
42 0 0.855759
43 1 1.16855
44 2 1.16855
45 3 0.855759
46
47 2
48 2 6
49 2 2
50 4
51 0 1.5204
52 1 0.657723
53 2 0.657723
54 3 1.5204
55
56 2
57 2 3
58 2 2
59 4
60 0 1.17526
61 1 0.850878
62 2 0.850878
63 3 1.17526
64
65 2
66 3 7
67 2 2
68 4
69 0 0.5063
70 1 1.97511
71 2 1.97511
72 3 0.5063
73
74 2
75 4 8
76 2 2
77 4
78 0 2.83744
79 1 0.35243
80 2 0.35243
81 3 2.83744
82
83 2
84 4 5
85 2 2
86 4
87 0 0.750941
88 1 1.33166
89 2 1.33166
90 3 0.750941
91
92 2
93 5 9
94 2 2
95 4
96 0 1.59629
97 1 0.626452
98 2 0.626452
99 3 1.59629
100
101 2
102 5 6
103 2 2
104 4
105 0 3.13359
106 1 0.319123
107 2 0.319123
108 3 3.13359
109
110 2
111 6 10
112 2 2
113 4
114 0 1.10899
115 1 0.901722
116 2 0.901722
117 3 1.10899
118
119 2
120 6 7
121 2 2
122 4
123 0 0.610292
124 1 1.63856
125 2 1.63856
126 3 0.610292
127
128 2
129 7 11
130 2 2
131 4
132 0 0.649694
133 1 1.53919
134 2 1.53919
135 3 0.649694
136
137 2
138 8 12
139 2 2
140 4
141 0 1.50625
142 1 0.663902
143 2 0.663902
144 3 1.50625
145
146 2
147 8 9
148 2 2
149 4
150 0 0.327755
151 1 3.05105
152 2 3.05105
153 3 0.327755
154
155 2
156 9 13
157 2 2
158 4
159 0 1.25915
160 1 0.794186
161 2 0.794186
162 3 1.25915
163
164 2
165 9 10
166 2 2
167 4
168 0 0.640488
169 1 1.56131
170 2 1.56131
171 3 0.640488
172
173 2
174 10 14
175 2 2
176 4
177 0 0.622234
178 1 1.60711
179 2 1.60711
180 3 0.622234
181
182 2
183 10 11
184 2 2
185 4
186 0 2.57318
187 1 0.388624
188 2 0.388624
189 3 2.57318
190
191 2
192 11 15
193 2 2
194 4
195 0 0.612672
196 1 1.6322
197 2 1.6322
198 3 0.612672
199
200 2
201 12 13
202 2 2
203 4
204 0 0.871424
205 1 1.14755
206 2 1.14755
207 3 0.871424
208
209 2
210 13 14
211 2 2
212 4
213 0 0.753476
214 1 1.32718
215 2 1.32718
216 3 0.753476
217
218 2
219 14 15
220 2 2
221 4
222 0 0.715729
223 1 1.39718
224 2 1.39718
225 3 0.715729
226
227 1
228 0
229 2
230 2
231 0 0.738853
232 1 1.35345
233
234 1
235 1
236 2
237 2
238 0 1.28984
239 1 0.775292
240
241 1
242 2
243 2
244 2
245 0 1.03823
246 1 0.963178
247
248 1
249 3
250 2
251 2
252 0 0.540428
253 1 1.85038
254
255 1
256 4
257 2
258 2
259 0 1.33662
260 1 0.748158
261
262 1
263 5
264 2
265 2
266 0 1.0813
267 1 0.924814
268
269 1
270 6
271 2
272 2
273 0 0.986246
274 1 1.01395
275
276 1
277 7
278 2
279 2
280 0 0.979006
281 1 1.02144
282
283 1
284 8
285 2
286 2
287 0 0.658588
288 1 1.5184
289
290 1
291 9
292 2
293 2
294 0 1.17918
295 1 0.848044
296
297 1
298 10
299 2
300 2
301 0 1.19753
302 1 0.835053
303
304 1
305 11
306 2
307 2
308 0 1.23618
309 1 0.808943
310
311 1
312 12
313 2
314 2
315 0 0.896788
316 1 1.11509
317
318 1
319 13
320 2
321 2
322 0 3.32484
323 1 0.300767
324
325 1
326 14
327 2
328 2
329 0 0.669159
330 1 1.49441
331
332 1
333 15
334 2
335 2
336 0 1.56734
337 1 0.638025