# Execute with FEMM5 native embeddedMicroPython from this extracted folder.
import os
def _exists(p):
    try:os.stat(p);return True
    except OSError:return False
if _exists('files/reproduce.py'):os.chdir('files')
elif '__file__' in globals() and '/' in __file__.replace('\\','/'):os.chdir(__file__.replace('\\','/').rsplit('/',1)[0])
import json,os,sys,time,math,cmath
import numpy as np
CONFIG={'output': 'native-newton-validation-native-result.json', 'directories': {'practice-ii03-3': '.'}, 'models': {'./practice-ii03-3-source-model.fem': {'problem': 'planar', 'depth': 40.0, 'angle': 25.0, 'circuits': ['Первичная обмотка', 'Вторичная обмотка']}, './strict-nonlinear-source-model.fem': {'problem': 'planar', 'depth': 40.0, 'angle': 25.0, 'circuits': ['Первичная обмотка', 'Вторичная обмотка']}}}
DATA={'runtime':sys.version,'implementation':str(sys.implementation),'experiments':{},'field_solutions':0}
assert sys.implementation.name=='micropython'
def save():
    with open(CONFIG['output'],'w') as f:json.dump(DATA,f)
def serial(v):
    if isinstance(v,complex):return [v.real,v.imag]
    if isinstance(v,(tuple,list)):return [serial(x) for x in v]
    if isinstance(v,dict):return {k:serial(x) for k,x in v.items()}
    return v
def close():
    for n in ('mo_close','mi_close'):
        try:globals()[n]()
        except Exception:pass
def start(name):
    close();d=CONFIG['directories'][name];os.chdir(d);return d
def model(name):return './'+name+'-source-model.fem'
def solve(path,tag,currents=None,frequency=None,rotate=0,group=2,mesh=None,material=None):
    close();opendocument(path);mi_saveas(os.getcwd()+'/'+tag+'.fem')
    if frequency is not None:
        info=CONFIG['models'][path]
        mi_probdef(frequency,'millimeters',info['problem'],1e-8,info['depth'],info['angle'])
    if rotate:
        mi_selectgroup(group);mi_moverotate(0,0,rotate);mi_clearselected()
    if material:
        x,y,material_name=material;mi_selectlabel(x,y);mi_setblockprop(material_name,0,1,'',0,0,0);mi_clearselected()
    if mesh:
        for x,y,mat,sz,circ,mag,g,turns in mesh:
            mi_selectlabel(x,y);mi_setblockprop(mat,0,sz,circ,mag,g,turns);mi_clearselected()
    if currents:
        for name,value in currents:mi_modifycircprop(name,1,value)
    mi_analyze(1);mi_loadsolution();DATA['field_solutions']+=1
    info={'file':os.getcwd()+'/'+tag+'.fem','nodes':mo_numnodes(),'elements':mo_numelements(),'circuits':{}}
    for name in CONFIG['models'][path]['circuits']:
        info['circuits'][name]=list(mo_getcircuitproperties(name))
    mo_clearblock();mo_groupselectblock();info['energy_J']=mo_blockintegral(2);info['coenergy_J']=mo_blockintegral(17)
    info['loss_magnetic_W']=mo_blockintegral(3);info['loss_resistive_W']=mo_blockintegral(4);info['loss_total_W']=mo_blockintegral(6)
    mo_clearblock()
    try:
        mo_groupselectblock(group);info['torque_Nm']=mo_blockintegral(22);info['force_x_N']=mo_blockintegral(18);info['force_y_N']=mo_blockintegral(19);mo_clearblock()
    except Exception as error:info['force_error']=str(error)
    return info
def real(x):return complex(x).real
def add(name,value):DATA['experiments'][name]=serial(value);save()
def z_matrix(path,prefix,names):
    columns=[];evidence=[]
    for j in range(len(names)):
        row=solve(path,prefix+'-basis-'+str(j),[(n,1 if j==k else 0) for k,n in enumerate(names)])
        columns.append([complex(row['circuits'][n][1]) for n in names]);evidence.append(row)
    return [[columns[j][i] for j in range(len(names))] for i in range(len(names))],evidence
def linear_load(path,prefix,names,Z,rloads,rprimary,source,neutral=False):
    n=len(names);m=n+1 if neutral else n
    matrix=[[0j for j in range(m)] for i in range(m)]
    rhs=[0j]*m
    for i in range(n):
        for j in range(n):matrix[i][j]=Z[i][j]
        if i<n//2:matrix[i][i]+=rprimary;rhs[i]=source[i]
        else:
            matrix[i][i]+=rloads[i-n//2]
            if neutral:matrix[i][n]=1
    if neutral:
        for j in range(n//2,n):matrix[n][j]=1
    answer=np.linalg.solve(np.array(matrix),np.array(rhs));currents=[complex(answer[j]) for j in range(n)]
    row=solve(path,prefix,[(n,currents[j]) for j,n in enumerate(names)])
    voltages=[complex(row['circuits'][n][1]) for n in names]
    residual=[]
    for i in range(n):
        r=voltages[i]+(rprimary if i<n//2 else rloads[i-n//2])*currents[i]-(source[i] if i<n//2 else 0)
        if neutral and i>=n//2:r+=complex(answer[n])
        residual.append(r)
    row['current_A']=currents;row['voltage_V']=voltages;row['residual_V']=residual
    row['source_power_W']=sum(real(source[i]*currents[i].conjugate())/2 for i in range(n//2))
    row['external_primary_copper_W']=sum(rprimary*abs(currents[i])**2/2 for i in range(n//2))
    row['load_power_W']=sum(rloads[i-n//2]*abs(currents[i])**2/2 for i in range(n//2,n))
    row['neutral_current_A']=-sum(currents[n//2:]);row['neutral_potential_V']=complex(answer[n]) if neutral else 0
    row['power_balance_W']=row['source_power_W']-row['external_primary_copper_W']-row['load_power_W']-real(row['loss_total_W'])
    return row

def restore(z):return complex(z[0],z[1]) if isinstance(z,list) else complex(z)
try:
    with open('native-experiments-06.json') as f:old=json.load(f)['experiments']['nonlinear_newton']
    name='practice-ii03-3';start(name);path=model(name);names=CONFIG['models'][path]['circuits'];calls=0
    def residual(x,U):
        global calls
        currents=[complex(x[0],x[1]),complex(x[2],x[3])]
        item=solve(path,'newton-half-step-transient',list(zip(names,currents)),material=(0,40,'Нелинейная сталь'));calls+=1
        item.pop('file');item['replay_source']=path;item['requested_currents_A']=currents
        u=[complex(item['circuits'][n][1]) for n in names];z=[u[0]+.8*currents[0]-U,u[1]+10*currents[1]]
        return [z[0].real,z[0].imag,z[1].real,z[1].imag],item
    def norm(x):return max(abs(v) for v in x)
    def jacobian(x,h):
        cols=[]
        for j in range(4):
            xp=list(x);xm=list(x);xp[j]+=h;xm[j]-=h;rp,_=residual(xp,100);rm,_=residual(xm,100);cols.append([(rp[i]-rm[i])/(2*h) for i in range(4)])
        return [[cols[j][i] for j in range(4)] for i in range(4)]
    x=list(old['first']['initial_components_A']);log=[];h=.0005
    for iteration in range(20):
        r,field=residual(x,100);entry={'iteration':iteration,'components_A':x[:],'residual_V':r,'relative_residual':norm(r)/100};log.append(entry)
        if norm(r)/100<1e-5:break
        J=jacobian(x,h);entry['Jacobian_V_per_A']=J;dx=np.linalg.solve(np.array(J),np.array([-v for v in r]));alpha=1.
        while alpha>=1/64:
            candidate=[x[j]+alpha*float(dx[j]) for j in range(4)];test,_=residual(candidate,100)
            if norm(test)<norm(r):x=candidate;break
            alpha/=2
        entry['damping']=alpha
        if alpha<1/64:break
    final,field=residual(x,100)
    J1=jacobian(x,.001);J2=jacobian(x,.0005)
    add('nonlinear_newton_validation',{'initial_components_A':old['first']['initial_components_A'],'h_A':h,'log':log,'final_components_A':x,'residual_V':final,'field':field,'field_calls':calls,'Jacobian_h_V_per_A':J1,'Jacobian_h2_V_per_A':J2,'current_change_vs_h_A':[x[i]-old['first']['final_components_A'][i] for i in range(4)],'passed':norm(final)/100<1e-5})
except Exception as error:
    DATA['fatal_error']=str(error);DATA['fatal_error_type']=type(error).__name__;save()
finally:close()
save()