| import numpy as np | |
| import pytest | |
| from synapse.learning import fit_readout, predict, fresh_weights | |
| from synapse.rsi import Policy, propose | |
| def test_gradient_bootstraps_zero_readout(): | |
| x=np.eye(4); y=np.array([0,1,0,1]); w=fresh_weights(4) | |
| fitted=fit_readout(x,y,w,method='gradient',steps=30,rate=1.) | |
| assert np.array_equal(predict(x,fitted),y) | |
| assert not w.any() | |
| def test_inherited_policy_generates_successor(): | |
| p=Policy(); child=propose(p,0,17); grandchild=propose(child,1,17) | |
| assert child.parent==p.identity | |
| assert grandchild.parent==child.identity | |
| assert grandchild.generation==2 | |
| def test_fresh_weights_equal(): | |
| assert np.array_equal(fresh_weights(12),fresh_weights(12)) | |