| import json |
| from pathlib import Path |
| import numpy as np |
| from inference import predict,ROOT |
| if __name__=='__main__': |
| x=np.random.default_rng(13).uniform(size=(19,64)).astype(np.float32);checks=0;results=[] |
| for task in ['identity','parity','magnitude']: |
| for seed in range(5): |
| a=predict(x,task,seed);b=predict(x,task,seed) |
| assert np.array_equal(a,b) and np.isfinite(a).all() and a.shape==(19,10 if task=='identity' else 2) |
| results.append({'task':task,'seed':seed,'rows':19,'max_reload_difference':float(np.max(np.abs(a-b))) });checks+=1 |
| for bad in [np.zeros((1,63)),np.full((1,64),float('nan')),np.full((1,64),2.)]: |
| try:predict(bad) |
| except ValueError:checks+=1 |
| else:raise AssertionError('Invalid input accepted') |
| for task,seed in [('../x',0),('identity',True),('identity',5)]: |
| try:predict(x,task,seed) |
| except ValueError:checks+=1 |
| else:raise AssertionError('Invalid selector accepted') |
| Path('VALIDATION.json').write_text(json.dumps({'passed':True,'checks':checks,'weights':15,'checks_detail':results,'claim':'Reload and contract checks only'},indent=2)) |
| print('PASS',checks) |
|
|
