feat: neural graft training, verified connectome caches, CPU compute budget & contract repairs
9e36559 | import numpy as np | |
| from synapse.agent import IntegratedAgent | |
| from synapse.config import SynapseConfig | |
| from synapse.patches import make_patch | |
| from synapse.stateio import digest | |
| def test_live_programming_screen_uses_actual_worlds_and_restores_rejection(): | |
| from synapse.live_programming import screen_live_patch | |
| agent=IntegratedAgent(SynapseConfig(nodes_per_source=16)) | |
| value=float(agent.motor.weight[0,0].detach()) | |
| packet=make_patch(agent,[{'tensor':'motor.weight','indices':[[0,0]],'values':[value+.01]}]) | |
| before=digest(agent.export_state()) | |
| result=screen_live_patch(agent,packet,task='forage',steps=8,seeds=[19],min_gain=100) | |
| assert result['accepted'] is False | |
| assert result['world_steps']==32 | |
| assert len(result['paired_returns']['baseline'])==1 | |
| assert digest(agent.export_state())==before | |
| def test_live_rsi_receipt_is_real_and_bounded(): | |
| from synapse.live_programming import run_live_rsi | |
| agent=IntegratedAgent(SynapseConfig(nodes_per_source=16)) | |
| result=run_live_rsi(agent,task='push',steps=8,candidates=1,seed=7,min_gain=100) | |
| assert result['candidates_evaluated']==1 | |
| assert result['accepted_count']==0 | |
| assert result['evidence_kind']=='measured_world_development_screen' | |
| assert result['screens'][0]['world_steps']==32 | |