"""Full two-resource rectangle checks. Random testing does not prove theorems."""
from __future__ import annotations
import json,math,time,platform
from pathlib import Path
import numpy as np
from scipy.optimize import brentq
from scipy.integrate import quad
from maxwell_rectangle import Rectangle,generator_transfer,phase_speed
from maxwell_resource import *
from floquet import log_spectral_radius
from resource_floquet import lifted_phase_map
ROOT=Path(__file__).resolve().parents[1]
rng=np.random.default_rng(260926);start=time.time()
report={'seed':260926,'python':platform.python_version()}
boxes=[Rectangle(1,2,1,3),Rectangle(1,2,1,2),Rectangle(.7,2.5,.4,4)]
canonical=0;gainerr=0.;timeerr=0.;dualerr=0.;switcherr=0.;balanceerr=0.;signerr=0;tests=[]
for box in boxes:
  for j in range(600):
    eta,xi,zeta=rng.normal(size=3)*float(rng.choice([.15,.6,2.]))
    if j%7==0:eta=0.
    cell=calibrated_resource_cell(box,eta,xi,zeta)
    am,ap,bm,bp=box.amin,box.amax,box.bmin,box.bmax
    if min(cell.mean_a-am,ap-cell.mean_a,cell.mean_b-bm,bp-cell.mean_b)<1e-7 or cell.log_gain<1e-7:continue
    explicit=explicit_resource_cell(box,cell.period,cell.mean_a,cell.mean_b)
    assert cell_winding(explicit)==1
    gainerr=max(gainerr,abs(cell.log_gain-explicit.log_gain))
    dual,res,sw=resource_dual_parameters(box,explicit)
    dualerr=max(dualerr,max(abs(a-b) for a,b in zip(dual,(eta,xi,zeta))))
    switcherr=max(switcherr,res)
    P=(cell.mean_a-am)/(ap-am);Q=(cell.mean_b-bm)/(bp-bm);w=P+Q-1
    if abs(w)>1e-10:assert eta*w>0
    # Cyclically merge an origin-split diagonal piece before comparing visits.
    st=list(cell.states)
    if st[0][:2]==st[-1][:2] and len(st)>1:
      a,b,t=st.pop();aa,bb,tt=st[0];st[0]=(aa,bb,t+tt)
    diagonal=(ap,bp) if eta>0 else (am,bm)
    visits=[t for a,b,t in st if (a,b)==diagonal]
    if eta:
      assert len(visits)==2
      balanceerr=max(balanceerr,abs(visits[0]-visits[1]))
    else:assert len(st)==2
    for i in range(20):
      th=float(rng.uniform(0,math.pi));c,s=math.cos(th),math.sin(th)
      K=s*c+xi*c*c-zeta*s*s
      if eta>0:ab=(am,bp) if K>eta*s*s/bp else ((ap,bm) if K<-eta*c*c/ap else (ap,bp))
      elif eta<0:ab=(am,bp) if K>-eta*c*c/am else ((ap,bm) if K<eta*s*s/bm else (am,bm))
      else:ab=(am,bp) if K>0 else (ap,bm)
      H=lambda a,b:((b-a)*s*c-eta-xi*a-zeta*b)/(b*c*c+a*s*s)
      assert H(*ab)>=max(H(a,b) for a in [am,ap] for b in [bm,bp])-1e-10
    canonical+=1
assert gainerr<1e-8 and dualerr<1e-7 and switcherr<1e-10 and balanceerr<1e-9
report['canonical']={'calibrated_cells':canonical,'pointwise_corner_checks':canonical*20,'max_gain_error':gainerr,'max_dual_error':dualerr,'max_switch_equation_residual':switcherr,'max_diagonal_visit_mismatch':balanceerr}

count=0;hyper=0;worst=-math.inf;meanerr=0.;defect_cases=[]
for box in boxes:
  am,ap,bm,bp=box.amin,box.amax,box.bmin,box.bmax
  for p,q in [(.2,.25),(.3,.7),(.7,.7),(.8,.1),(.2,.9)]:
    abar=am+(ap-am)*p;bbar=bm+(bp-bm)*q
    for S in np.linspace(.6,8,14):
      F,cs=rectangle_resource_optimum(box,float(S),abar,bbar)
      for j in range(16):
        if j%2:
          z=float(rng.uniform(max(0,p+q-1),min(p,q)))
          fracs=[z,q-z,p-z,1-p-q+z];corners=[(ap,bp),(am,bp),(ap,bm),(am,bm)]
          states=[]
          for (a,b),f in zip(corners,fracs):
            for t in rng.dirichlet(np.ones(3))*f*S:states.append((a,b,float(t)))
          rng.shuffle(states)
        else:
          N=int(rng.integers(2,15));ts=rng.dirichlet(np.ones(N))*S
          raw1=rng.uniform(-1,1,N);raw2=rng.uniform(-1,1,N)
          sh1=brentq(lambda x:np.dot(np.clip(raw1+x,0,1),ts)/S-p,-3,3,xtol=1e-14)
          sh2=brentq(lambda x:np.dot(np.clip(raw2+x,0,1),ts)/S-q,-3,3,xtol=1e-14)
          aa=am+(ap-am)*np.clip(raw1+sh1,0,1);bb=bm+(bp-bm)*np.clip(raw2+sh2,0,1)
          states=list(zip(aa,bb,ts))
        M=np.eye(2)
        for a,b,t in states:M=generator_transfer(a,b,t)@M
        L=log_spectral_radius(M);worst=max(worst,L-F);count+=1
        meanerr=max(meanerr,abs(sum(a*t for a,b,t in states)/S-abar),abs(sum(b*t for a,b,t in states)/S-bbar))
        assert L<=F+2e-8,(box,S,p,q,L,F)
        if L>1e-6:
          hyper+=1
          if len(defect_cases)<50 and j%3==0:defect_cases.append((box,S,abar,bbar,states,M,L,cs))
report['fixed_resource_random']={'profiles':count,'hyperbolic':hyper,'max_bound_excess':worst,'max_mean_error':meanerr}

errors=[];mindef=math.inf
for box,S,abar,bbar,states,M,L,cs in defect_cases:
  vals,vecs=np.linalg.eig(M);x=np.real(vecs[:,np.argmax(np.abs(vals))]);theta0=math.atan2(-x[1],x[0]);theta=theta0
  for a,b,t in states:
    w=math.sqrt(b/a);theta=lifted_phase_map(lifted_phase_map(theta,w)+math.sqrt(a*b)*t,w,True)
  n=round((theta-theta0)/math.pi)
  cells=[c for j,c in cs if j==n];assert cells
  opt=cells[0];dual,_,switches=resource_dual_parameters(box,opt);eta,xi,zeta=dual
  corners=[(a,b) for a in [box.amin,box.amax] for b in [box.bmin,box.bmax]]
  def defect(th,a,b):
    c,s=math.cos(th),math.sin(th)
    H=lambda aa,bb:((bb-aa)*s*c-eta-xi*aa-zeta*bb)/(bb*c*c+aa*s*s)
    return max(H(*ab) for ab in corners)-H(a,b)
  integral=0.;theta=theta0
  for a,b,t in states:
    w=math.sqrt(b/a);end=lifted_phase_map(lifted_phase_map(theta,w)+math.sqrt(a*b)*t,w,True)
    points=[]
    for z in switches:
      z%=math.pi
      for j in range(math.floor(theta/math.pi)-1,math.ceil(end/math.pi)+2):
        zz=z+j*math.pi
        if theta+1e-12<zz<end-1e-12:points.append(zz)
    integral+=quad(lambda th:defect(th,a,b),theta,end,points=sorted(set(points)),epsabs=2e-10,limit=200)[0]
    theta=end
  errors.append(abs(integral-(n*opt.log_gain-L)));mindef=min(mindef,integral)
assert max(errors)<1e-7
report['defects']={'cases':len(errors),'max_absolute_error':max(errors),'minimum_defect':mindef}

# Resource-ray strict concavity, dual tangency, and two adjacent winners.
concavity_excess=0.;neighbor_checks=0;tangency_error=0.
for box in boxes:
  for p,q in [(.2,.25),(.3,.7),(.7,.7),(.2,.9)]:
    abar=box.amin+(box.amax-box.amin)*p;bbar=box.bmin+(box.bmax-box.bmin)*q
    lo,hi=rectangle_resource_gap_interval(box,abar,bbar)
    values=[explicit_resource_cell(box,float(t),abar,bbar).log_gain for t in np.linspace(lo+.02*(hi-lo),hi-.02*(hi-lo),21)]
    concavity_excess=max(concavity_excess,float(np.max(np.diff(values,2))))
    free=rectangle_resource_free(box,abar,bbar)
    eta,xi,zeta=resource_dual_parameters(box,free)[0]
    tangency_error=max(tangency_error,abs(eta+xi*abar+zeta*bbar-free.log_gain/free.period))
    for S in np.linspace(.5,15,30):
      F,cs=rectangle_resource_optimum(box,float(S),abar,bbar)
      if cs:
        n,c=max(cs,key=lambda z:z[0]*z[1].log_gain)
        assert n in {math.floor(S/free.period),math.ceil(S/free.period)}
      neighbor_checks+=1
assert concavity_excess<1e-8 and tangency_error<1e-6
report['resource_ray']={'concavity_curves':12,'max_discrete_concavity_excess':concavity_excess,'neighbor_winding_checks':neighbor_checks,'max_free_rate_dual_tangency_error':tangency_error}

# Endpoint means reduce exactly to the retained scalar resource theorem.
from resource_floquet import resource_optimum
endpoint_checks=0;endpoint_error=0.
for box in boxes:
  for S in np.linspace(.5,7,8):
    for aa,bb in [(box.amin,(box.bmin+box.bmax)/2),(box.amax,(box.bmin+box.bmax)/2),((box.amin+box.amax)/2,box.bmin),((box.amin+box.amax)/2,box.bmax)]:
      F,cs=rectangle_resource_optimum(box,float(S),aa,bb)
      for n,cell in cs:
        endpoint_error=max(endpoint_error,abs(log_spectral_radius(resource_cell_monodromy(cell))-cell.log_gain))
        assert cell_winding(cell)==1
      endpoint_checks+=1
assert endpoint_error<1e-8
report['endpoint_reductions']={'cases':endpoint_checks,'max_equality_error':endpoint_error}

box=boxes[0];examples=[]
for abar,bbar,S in [(1.7,2.4,1.6),(1.7,2.4,2.),(1.3,1.4,2.),(1.3,2.4,2.)]:
  F,cs=rectangle_resource_optimum(box,S,abar,bbar)
  examples.append({'bounds':[1,2,1,3],'period':S,'mean_a':abar,'mean_b':bbar,'maximum_log_gain':F,'candidates':[{'winding':n,'gain':n*c.log_gain,'states':c.states,'duals':resource_dual_parameters(box,c)[0]} for n,c in cs]})
report['examples']=examples
report['elapsed_seconds']=time.time()-start;report['all_assertions_passed']=True
(ROOT/'results'/'verification_maxwell_resource.json').write_text(json.dumps(report,indent=2)+'\n')
print(json.dumps(report,indent=2))