#!/usr/bin/env python3
"""Evaluate and export the calibrated 30-dimensional returned-memory gate.

Example: python3 memory_activation.py --visibility .5 --save memory_activation_v05.npz
This is an ideal-model matrix generator, not a laboratory hardware controller.
"""
import argparse,json
import numpy as np
from verify_v6_sideinfo import physical_model,margins

def main():
    p=argparse.ArgumentParser(description=__doc__)
    p.add_argument('--visibility',type=float,required=True)
    p.add_argument('--save',help='Optional NPZ file for unitary, states and bare Hamiltonian')
    a=p.parse_args()
    try:U,initial,final,H=physical_model(a.visibility)
    except ValueError as exc:p.error(str(exc))
    _,s0,_=margins(initial);_,sf,wf=margins(final)
    result={'visibility':a.visibility,'physical_dimension':30,
            'pulse_success_numerical':min(1.,max(0.,float(wf[1,1].real))),
            'pulse_success_raw_roundoff':float(wf[1,1].real)-min(1.,max(0.,float(wf[1,1].real))),
            'exact_capacity':min(1,(4-2*a.visibility)/3),
            'battery_ergotropy_in_gap_units':min(1.,max(0.,2*float(wf[1,1].real)-1)),
            'memory_return_max_entry_error':float(np.max(abs(sf-s0))),
            'unitarity_max_entry_error':float(np.max(abs(U.conj().T@U-np.eye(30)))),
            'energy_commutator_max_entry_error':float(np.max(abs(U@H-H@U))),
            'model':'Prepared fixed-energy source; receiver-local memory; calibrated conserving unitary; consumed source correlations',
            'scope':'Memory marginal returns; dephasing environment and source restoration are paid resources; no autonomous cycle or hardware demonstration'}
    if a.save:
        np.savez_compressed(a.save,unitary=U,initial_state=initial,final_state=final,bare_hamiltonian=H,visibility=a.visibility)
        result['matrix_file']=a.save
    print(json.dumps(result,indent=2))

if __name__=='__main__':main()