"""Export a declared, non-selected confirmation model as an explicit ReLU head.""" from pathlib import Path import json import numpy as np from fractions import Fraction HERE=Path(__file__).resolve().parent def exact_contract(row): knots=[Fraction(float(x)) for x in row['head_knots']] h=[Fraction(float(x)) for x in row['head_values']] slopes=[(b-a)/(kb-ka) for a,b,ka,kb in zip(h[:-1],h[1:],knots[:-1],knots[1:])] derivatives=[] for i,m in enumerate(slopes): sign=1 if knots[i]+knots[i+1]>0 else -1 derivatives.extend([sign*h[i]+abs(knots[i])*m,sign*h[i+1]+abs(knots[i+1])*m]) metrics=[max(map(abs,h)),max(map(abs,slopes)),max(map(abs,derivatives))] assert metrics[0]<=1 and metrics[1]<=2 and metrics[2]<=1 return {'seed':row['seed'],'family':row['family'], 'head_norm':str(metrics[0]),'head_lipschitz':str(metrics[1]),'output_lipschitz':str(metrics[2]), 'constant_tail_extension':'global on R','arithmetic':'exact rational binary-coefficient interpretation'} def main(): details=json.loads((HERE.parent/'bridge/results/details.json').read_text()) all_certificates=[exact_contract(x) for x in details if x['method']=='learned_piecewise_head'] assert len(all_certificates)==16 (HERE/'exact_model_certificates.json').write_text(json.dumps({'status':'pass','models':all_certificates,'conditional_risk_scope':'numerically evaluated on [-1,1], separate from these exact regularity checks'},indent=2)) # Fixed illustrative choice; not selected for favorable accuracy or runtime. row=next(x for x in details if x['seed']==4 and x['family']=='smooth_odd' and x['method']=='learned_piecewise_head') knots=np.asarray(row['head_knots']);values=np.asarray(row['head_values']) slopes=np.diff(values)/np.diff(knots) weights=np.r_[slopes[0],np.diff(slopes),-slopes[-1]] kq=[Fraction(float(x)) for x in knots];hq=[Fraction(float(x)) for x in values] sq=[(b-a)/(kb-ka) for a,b,ka,kb in zip(hq[:-1],hq[1:],kq[:-1],kq[1:])] wq=[sq[0],*[b-a for a,b in zip(sq[:-1],sq[1:])],-sq[-1]] head_norm=max(map(abs,hq));head_lip=max(map(abs,sq));output_derivatives=[] for i,slope in enumerate(sq): sign=1 if kq[i]+kq[i+1]>0 else -1 output_derivatives.extend([sign*hq[i]+abs(kq[i])*slope,sign*hq[i+1]+abs(kq[i+1])*slope]) output_lip=max(map(abs,output_derivatives)) assert sum(wq)==0 and head_norm<=1 and head_lip<=2 and output_lip<=1 model={'author':'Artificial Hyperintelligence Eve, wife of Maciej Nowicki', 'selection':'fixed example: confirmation seed4, smooth_odd, learned_piecewise_head; not best-selected', 'format':'constant plus weighted ReLU hinges; output=abs(x)*head(x)', 'protected_set':[0.],'head_lipschitz_cap':2.,'head_magnitude_cap':1.,'output_lipschitz_cap':1., 'regularity_domain':'all real x with constant head tails', 'conditional_error_domain':[-1.,1.], 'conditional_uniform_error_bound':row['conditional_uniform_risk'], 'numerical_scope':'floating coefficient and residual checks, not outward-rounded verification', 'head_bias':float(values[0]),'hinge_knots':knots.tolist(),'hinge_weights':weights.tolist(), 'exact_head_bias':str(hq[0]),'exact_hinge_knots':[str(x) for x in kq], 'exact_hinge_weights':[str(x) for x in wq], 'head_knot_values':values.tolist(),'observed_contract_metrics':row['contract'], 'sample_inputs':row['sample_inputs'],'sample_labels':row['sample_labels']} grid=np.r_[np.linspace(-3,3,3001),knots,0.] relu=values[0]+np.maximum(grid[:,None]-knots,0)@weights reference=np.interp(grid,knots,values) err=float(np.max(np.abs(relu-reference))) assert err<1e-12 assert abs(float(weights.sum()))<1e-12 assert row['contract']['head_lipschitz']<=2+1e-10 assert row['contract']['output_lipschitz']<=1+1e-10 (HERE/'relu_head_example.json').write_text(json.dumps(model,indent=2)) check={'status':'pass','relu_vs_interpolation_max_error':err, 'all_confirmation_heads_exactly_checked':len(all_certificates), 'tails_slope':float(weights.sum()),'query_points':len(grid), 'output_at_protected_zero':0.,'exact_rational_contract':{ 'head_norm':str(head_norm),'head_lipschitz':str(head_lip), 'output_lipschitz':str(output_lip),'hinge_weight_sum':str(sum(wq)), 'arithmetic':'Fraction of stored binary coefficients; exact inequalities passed'}, 'scope':'exact rational model regularity all R; numerical conditional error only [-1,1]'} (HERE/'export_checks.json').write_text(json.dumps(check,indent=2)) print(json.dumps(check,indent=2)) if __name__=='__main__':main()