1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
|
#!/usr/bin/env python
import unittest
import sys, os.path
sys.path.append(os.path.expanduser("~/pb/build/opencog/python"))
from opencog.atomspace.types import CONCEPT_NODE, PREDICATE_NODE, LIST_LINK
from opencog.atomspace.types import INHERITANCE_LINK, SCHEMA_EXECUTION_LINK
from opencog.atomspace import TruthValueType, AtomSpace, IndicatorType
from opencog.atomspace import IndefiniteTruthValue, SimpleTruthValue, Handle
from opencog.atomspace import CompositeTruthValue, VersionHandle, TruthValue
from opencog.util import Logger, logger, InvalidParamException
NUM_VHS = 4
FLOAT_ACCEPTABLE_ERROR = 0.000001
NUM_NODES = 6
NUM_FORCEUSER_LINKS = 4
NUM_HUMAN_LINKS = 4
# Deliberately out of order to test getSortedHandleSet.
AV1_STI = 20000
AV2_STI = 500
AV3_STI = 0
AV1_LTI = 0
AV2_LTI = 30000
AV3_LTI = 700
def HandleEntry2HandleSeq(src, dest):
dest = src.toHandleVector()
def createSimpleGraph(atomSpace, baseName):
buf = [None] * 256
testatoms = []
baseNameLen = len(baseName)
buf = baseName
tv1 = SimpleTruthValue(0.001, 0.00001)
tv2 = SimpleTruthValue(0.001, 0.00001)
tv3 = SimpleTruthValue(0.5, 0.99)
buf[len(baseName)] = '1'
h1 = atomSpace.addNode(CONCEPT_NODE, buf, tv1)
atomSpace.setSTI(h1, AV1_STI)
atomSpace.setLTI(h1, AV1_LTI)
buf[len(baseName)] = '2'
h2 = atomSpace.addNode(CONCEPT_NODE, buf, tv2)
atomSpace.setSTI(h2, AV2_STI)
atomSpace.setLTI(h2, AV2_LTI)
buf[len(baseName)] = '3'
h3 = atomSpace.addNode(CONCEPT_NODE, buf, tv3)
atomSpace.setSTI(h3, AV3_STI)
atomSpace.setLTI(h3, AV3_LTI)
outgoing1 = []
outgoing1.append(h2)
outgoing1.append(h3)
l1 = atomSpace.addLink(LIST_LINK, outgoing1, tv1)
outgoing2 = []
outgoing2.append(h1)
outgoing2.append(l1)
l2 = atomSpace.addLink(EVALUATION_LINK, outgoing2, tv2)
testAtoms.append(h1)
testAtoms.append(h2)
testAtoms.append(h3)
testAtoms.append(l1)
testAtoms.append(l2)
return testAtoms
class AtomSpaceUTest(unittest.TestCase):
def __init__(self, methodName='testEquals'):
unittest.TestCase.__init__(self, methodName)
self.atomSpace = None
self.VHs = [None] * NUM_VHS
logger().setLevel(Logger.Level.INFO)
logger().setPrintToStdoutFlag(True)
def setUp(self):
#global TV1_MEAN, TV1_COUNT, TV2_L, TV2_U, TV3_MEAN, TV3_COUNT, NUM_TVS
NUM_VH_NODES = 3
self.atomSpace = AtomSpace()
self.VHs[0] = VersionHandle()
self.VHs[1] = VersionHandle(IndicatorType.HYPOTHETICAL,
self.atomSpace.addNode(CONCEPT_NODE, "HYPOTHETICAL1"))
self.VHs[2] = VersionHandle(IndicatorType.HYPOTHETICAL,
self.atomSpace.addNode(CONCEPT_NODE, "HYPOTHETICAL2"))
self.VHs[3] = VersionHandle(IndicatorType.CONTEXTUAL,
self.atomSpace.addNode(CONCEPT_NODE, "CONTEXTUAL"))
def tearDown(self):
pass
def mean(self, handle):
return self.atomSpace.getTv(handle).getMean() > 0
def everything(self, handle):
return True
def testMiscelaneous(self):
logger().debug("\ntestMiscelaneous()\n");
nodeNames = [
"Vader",
"Luke",
"Chewbacca",
"R2D2",
"Force",
"Human"
]
h = [None] * NUM_NODES
for i in range(NUM_NODES):
h[i] = self.atomSpace.addNode(CONCEPT_NODE, nodeNames[i],
SimpleTruthValue(0.001,
SimpleTruthValue.confidenceToCount(0.99))
);
#ForceUser = [None] * NUM_FORCEUSER_LINKS
ForceUser = [0.99, 0.99, 0.0, 0.5]
FU = [None] * NUM_FORCEUSER_LINKS
for i in range(NUM_FORCEUSER_LINKS):
temp = [None] * 2
temp[0] = h[i]
temp[1] = h[4]
tmpTV = SimpleTruthValue(ForceUser[i],
SimpleTruthValue.confidenceToCount(0.99))
FU[i] = self.atomSpace.addLink(SCHEMA_EXECUTION_LINK, temp, tmpTV)
size = 4
#Human = [None] * size
Human = [0.99, 0.99, 0.5, 0.0]
out = [[], [], [], []]
H = [None] * size
for i in range(size):
out[i].append(h[i])
out[i].append(h[5])
tmp = SimpleTruthValue(Human[i],
SimpleTruthValue.confidenceToCount(0.99))
H[i] = self.atomSpace.addLink(INHERITANCE_LINK, out[i], tmp)
# Add versioned TVs
for i in range(NUM_NODES):
vhIdx = i % NUM_VHS
if vhIdx:
vh = self.VHs[vhIdx]
import pdb
pdb.set_trace()
print dir(TruthValue)
temp = TruthValue.DEFAULT_TV()
self.atomSpace.setTV(h[i], TruthValue.DEFAULT_TV(), vh)
if i < NUM_FORCEUSER_LINKS:
self.atomSpace.setTV(FU[i], TruthValue.DEFAULT_TV(), vh)
if i < NUM_HUMAN_LINKS:
self.atomSpace.setTV(H[i], TruthValue.DEFAULT_TV(), vh)
def testTypeToStr(self):
self.assertEqual(TruthValue.typeToStr(\
TruthValueType.SIMPLE_TRUTH_VALUE), 'SIMPLE_TRUTH_VALUE')
self.assertEqual(TruthValue.typeToStr(\
TruthValueType.INDEFINITE_TRUTH_VALUE), 'INDEFINITE_TRUTH_VALUE')
self.assertEqual(TruthValue.typeToStr(\
TruthValueType.COMPOSITE_TRUTH_VALUE), 'COMPOSITE_TRUTH_VALUE')
"""self.assertRaises(InvalidParamException, TruthValue.typeToStr,
TruthValueType.NUMBER_OF_TRUTH_VALUE_TYPES)"""
def testStrToType(self):
self.assertEqual(TruthValue.strToType('SIMPLE_TRUTH_VALUE'),\
TruthValueType.SIMPLE_TRUTH_VALUE)
self.assertEqual(TruthValue.strToType('INDEFINITE_TRUTH_VALUE'),\
TruthValueType.INDEFINITE_TRUTH_VALUE)
self.assertEqual(TruthValue.strToType('COMPOSITE_TRUTH_VALUE'),\
TruthValueType.COMPOSITE_TRUTH_VALUE)
"""self.assertRaises(InvalidParamException, TruthValue.strToType,\
'INVALID_TRUTH_VALUE_TYPE')"""
def testFactoryCharPtr(self):
global NUM_TVS
tvStr = ''
i = 0
while i < NUM_TVS:
tvStr = TruthValue.typeToStr(self.tvs[i].getType())
tvStr += ' '
tvStr += self.tvs[i].toString()
tv = TruthValue.factory(tvStr)
self.assertEqual(tv.getType(), self.tvs[i].getType())
self.assertTrue(abs(tv.getMean() - self.tvs[i].getMean()) <=\
FLOAT_ACCEPTABLE_ERROR)
self.assertTrue(abs(tv.getCount() - self.tvs[i].getCount()) <=\
FLOAT_ACCEPTABLE_ERROR)
self.assertTrue(abs(tv.getConfidence() -\
self.tvs[i].getConfidence()) <= FLOAT_ACCEPTABLE_ERROR)
i = i + 1
def testFactoryTruthValueTypeCharPtr(self):
global NUM_TVS
i = 0
while i < NUM_TVS:
tv = TruthValue.factory(self.tvs[i].getType(),\
self.tvs[i].toString())
self.assertEqual(tv.getType(), self.tvs[i].getType())
self.assertTrue(abs(tv.getMean() - self.tvs[i].getMean()) <=\
FLOAT_ACCEPTABLE_ERROR)
self.assertTrue(abs(tv.getCount() - self.tvs[i].getCount()) <=\
FLOAT_ACCEPTABLE_ERROR)
self.assertTrue(abs(tv.getConfidence() -\
self.tvs[i].getConfidence()) <= FLOAT_ACCEPTABLE_ERROR)
i = i + 1
def testMerge(self):
mergedTv = None
global NUM_TVS, TV1_MEAN, TV2_MEAN, TV3_MEAN, TV1_COUNT, TV2_COUNT,\
TV3_COUNT
simpleTvs = [None] * NUM_TVS
simpleMeans = [None] * NUM_TVS
simpleCounts = [None] * NUM_TVS
simpleMeans[0] = TV1_MEAN
simpleMeans[1] = TV2_MEAN
simpleMeans[2] = TV3_MEAN
simpleCounts[0] = TV1_COUNT
simpleCounts[1] = TV2_COUNT
simpleCounts[2] = TV3_COUNT
simpleConfidences = [None] * NUM_TVS
for i in range(NUM_TVS):
simpleTvs[i] = SimpleTruthValue(simpleMeans[i], simpleCounts[i])
simpleConfidences[i] = SimpleTruthValue.countToConfidence(\
simpleCounts[i])
for i in range(NUM_TVS):
for j in range(NUM_TVS):
mergedTv = simpleTvs[i].merge(simpleTvs[j])
if i < j:
self.assertNotEqual(mergedTv, simpleTvs[i])
self.assertNotEqual(mergedTv, simpleTvs[j])
self.assertTrue(abs(mergedTv.getMean() - simpleMeans[j])\
<= FLOAT_ACCEPTABLE_ERROR)
self.assertTrue(abs(mergedTv.getCount() - simpleCounts[j])\
<= FLOAT_ACCEPTABLE_ERROR)
self.assertTrue(abs(mergedTv.getConfidence() -\
simpleConfidences[j]) <= FLOAT_ACCEPTABLE_ERROR)
del mergedTv
else:
self.assertTrue(abs(mergedTv.getMean() - simpleMeans[i])\
<= FLOAT_ACCEPTABLE_ERROR)
self.assertTrue(abs(mergedTv.getCount() - simpleCounts[i])\
<= FLOAT_ACCEPTABLE_ERROR)
self.assertTrue(abs(mergedTv.getConfidence() -\
simpleConfidences[i]) <= FLOAT_ACCEPTABLE_ERROR)
lowerConfidence = simpleConfidences[1] - 0.01
upperConfidence = simpleConfidences[1] + 0.01
otherTypeTv = None
otherTypeTv = CompositeTruthValue(SimpleTruthValue(0.333,\
SimpleTruthValue.confidenceToCount(lowerConfidence)),\
VersionHandle())
mergedTv = simpleTvs[1].merge(otherTypeTv)
self.assertNotEqual(mergedTv, simpleTvs[1])
self.assertNotEqual(mergedTv, otherTypeTv)
self.assertEqual(mergedTv.getType(), otherTypeTv.getType())
self.assertTrue(abs(mergedTv.getMean() - simpleMeans[1])\
<= FLOAT_ACCEPTABLE_ERROR)
self.assertTrue(abs(mergedTv.getCount() - simpleCounts[1])\
<= FLOAT_ACCEPTABLE_ERROR)
self.assertTrue(abs(mergedTv.getConfidence() -\
simpleConfidences[1]) <= FLOAT_ACCEPTABLE_ERROR)
del otherTypeTv, mergedTv
otherTypeTv = CompositeTruthValue(SimpleTruthValue(0.333,\
SimpleTruthValue.confidenceToCount(upperConfidence)),\
VersionHandle())
mergedTv = simpleTvs[1].merge(otherTypeTv)
self.assertNotEqual(mergedTv, simpleTvs[1])
self.assertNotEqual(mergedTv, otherTypeTv)
self.assertEqual(mergedTv.getType(), otherTypeTv.getType())
self.assertTrue(abs(mergedTv.getMean() - otherTypeTv.getMean())\
<= FLOAT_ACCEPTABLE_ERROR)
self.assertTrue(abs(mergedTv.getCount() - otherTypeTv.getCount())\
<= FLOAT_ACCEPTABLE_ERROR)
self.assertTrue(abs(mergedTv.getConfidence() -\
otherTypeTv.getConfidence()) <= FLOAT_ACCEPTABLE_ERROR)
del otherTypeTv, mergedTv
indefiniteTvs = [None] * NUM_TVS
indefiniteLs = [None] * NUM_TVS
indefiniteUs = [None] * NUM_TVS
indefiniteLs[0] = TV1_L
indefiniteLs[1] = TV2_L
indefiniteLs[2] = TV3_L
indefiniteUs[0] = TV1_U
indefiniteUs[1] = TV2_U
indefiniteUs[2] = TV3_U
indefiniteMeans = [None] * NUM_TVS
indefiniteCounts = [None] * NUM_TVS
indefiniteConfidences = [None] * NUM_TVS
for i in range(NUM_TVS):
indefiniteTvs[i] = IndefiniteTruthValue(indefiniteLs[i],\
indefiniteUs[i])
indefiniteMeans[i] = indefiniteTvs[i].getMean()
indefiniteCounts[i] = indefiniteTvs[i].getCount()
indefiniteConfidences[i] = indefiniteTvs[i].getConfidence()
for i in range(NUM_TVS):
tv = self.tvs[i]
indefiniteTv = indefiniteTvs[i]
mergedTv = tv.merge(indefiniteTv)
if indefiniteConfidences[i] > self.confidences[i]:
self.assertNotEqual(mergedTv, indefiniteTv)
self.assertTrue(abs(mergedTv.getMean() -\
indefiniteMeans[i]) <= FLOAT_ACCEPTABLE_ERROR)
self.assertTrue(abs(mergedTv.getCount() -\
indefiniteCounts[i]) <= FLOAT_ACCEPTABLE_ERROR)
self.assertTrue(abs(mergedTv.getConfidence() -\
indefiniteConfidences[i]) <= FLOAT_ACCEPTABLE_ERROR)
if self.tvs[i].getType() !=\
TruthValueType.COMPOSITE_TRUTH_VALUE:
self.assertNotEqual(mergedTv, tv)
self.assertEqual(mergedTv.getType(),\
TruthValueType.INDEFINITE_TRUTH_VALUE)
del mergedTv
else:
self.assertEqual(mergedTv.getType(),\
TruthValueType.COMPOSITE_TRUTH_VALUE)
else:
self.assertEqual(mergedTv.getType(), tv.getType())
self.assertTrue(abs(mergedTv.getMean() -\
self.means[i]) <= FLOAT_ACCEPTABLE_ERROR)
self.assertTrue(abs(mergedTv.getCount() -\
self.counts[i]) <= FLOAT_ACCEPTABLE_ERROR)
self.assertTrue(abs(mergedTv.getConfidence() -\
self.confidences[i]) <= FLOAT_ACCEPTABLE_ERROR)
def testIsNullTv(self):
global NUM_TVS
for i in range(NUM_TVS):
self.assertFalse(self.tvs[i].isNullTv())
#self.assertTrue(TruthValue.NULL_TV().isNullTv())
def testDeleteAndSetDefaultTVIfPertinent(self):
#tv = TruthValue.DEFAULT_TV()
pass
if __name__ == '__main__':
unittest.TextTestRunner().run(AtomSpaceUTest("testMiscelaneous"))
|