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5 | 5 | import network.aika.Utils; |
6 | 6 | import network.aika.Writable; |
7 | 7 | import network.aika.lattice.InputNode.InputActivation; |
8 | | -import network.aika.lattice.NodeActivation; |
9 | 8 | import network.aika.lattice.OrNode.OrActivation; |
10 | 9 | import network.aika.neuron.INeuron; |
| 10 | +import network.aika.neuron.INeuron.SynapseSummary; |
11 | 11 | import network.aika.neuron.INeuron.Type; |
12 | 12 | import network.aika.neuron.Neuron; |
13 | 13 | import network.aika.neuron.Synapse; |
@@ -338,7 +338,7 @@ public double process(SearchNode sn, int round, long v) { |
338 | 338 |
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339 | 339 | public State computeValueAndWeight(int round) { |
340 | 340 | INeuron n = getINeuron(); |
341 | | - INeuron.SynapseSummary ss = n.getSynapseSummary(); |
| 341 | + SynapseSummary ss = n.getSynapseSummary(); |
342 | 342 |
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343 | 343 | double net = ss.getBiasSum(); |
344 | 344 | double posNet = ss.getBiasSum(); |
@@ -411,7 +411,7 @@ public State computeValueAndWeight(int round) { |
411 | 411 |
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412 | 412 | public boolean isActiveable() { |
413 | 413 | INeuron n = getINeuron(); |
414 | | - INeuron.SynapseSummary ss = n.getSynapseSummary(); |
| 414 | + SynapseSummary ss = n.getSynapseSummary(); |
415 | 415 |
|
416 | 416 | double net = ss.getBiasSum(); |
417 | 417 |
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@@ -468,7 +468,7 @@ public void processBounds() { |
468 | 468 |
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469 | 469 | public void computeBounds() { |
470 | 470 | INeuron n = getINeuron(); |
471 | | - INeuron.SynapseSummary ss = n.getSynapseSummary(); |
| 471 | + SynapseSummary ss = n.getSynapseSummary(); |
472 | 472 |
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473 | 473 | double ub = ss.getBiasSum() + ss.getPosRecSum(); |
474 | 474 | double lb = ss.getBiasSum() + ss.getPosRecSum(); |
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