def runLoopTest(tau=650.0,nlag=4096,bw=1.0,noise=0,tolfact=10, niter=5,maxfun=1000,maxinitharm=20):
filename = 'itersim1643_tau%.2fus_noise%.2f' % (tau,noise)
blah,fbase = os.path.split(filename)
plotdir = os.path.join(os.path.abspath(os.path.curdir),('%s_plots' % fbase))
if not os.path.exists(plotdir):
os.mkdir(plotdir)
ht0 = makeht(tau=tau,nlag=nlag,bw=bw)
np.save(os.path.join(plotdir,'ht0'), ht0)
CS = initSim(ht0,bw=bw,noise=noise)
CS.filename = filename
CS.initProfile(maxinitharm=maxinitharm)
np.savez(os.path.join(plotdir,'start'),cs=CS.cs,pp_ref=CS.pp_ref,
pp_start = CS.data.mean(2).squeeze())
for k in range(1,niter+1):
CS.pp_ref = CS.pp_int.copy()
CS.loop(make_plots=True,plotdir=plotdir,hf_prev=CS.hf_prev,maxfun=maxfun)
np.savez(os.path.join(plotdir,('iter%d' % k)),
pp_ref=CS.pp_ref,pp_int=CS.pp_int, hf = CS.hf_prev,
ht = pycyc.freq2time(CS.hf_prev), csm = CS.modelCS(hf=CS.hf_prev),
)
def runLoopTest(tau=650.0,
nlag=4096,
bw=1.0,
noise=0,
tolfact=10,
niter=5,
maxfun=1000,
maxinitharm=20):
filename = 'itersim1643_tau%.2fus_noise%.2f' % (tau, noise)
blah, fbase = os.path.split(filename)
plotdir = os.path.join(os.path.abspath(os.path.curdir),
('%s_plots' % fbase))
if not os.path.exists(plotdir):
os.mkdir(plotdir)
ht0 = makeht(tau=tau, nlag=nlag, bw=bw)
np.save(os.path.join(plotdir, 'ht0'), ht0)
CS = initSim(ht0, bw=bw, noise=noise)
CS.filename = filename
CS.initProfile(maxinitharm=maxinitharm)
np.savez(os.path.join(plotdir, 'start'),
cs=CS.cs,
pp_ref=CS.pp_ref,
pp_start=CS.data.mean(2).squeeze())
for k in range(1, niter + 1):
CS.pp_ref = CS.pp_int.copy()
CS.loop(make_plots=True,
plotdir=plotdir,
hf_prev=CS.hf_prev,
maxfun=maxfun)
np.savez(
os.path.join(plotdir, ('iter%d' % k)),
pp_ref=CS.pp_ref,
pp_int=CS.pp_int,
hf=CS.hf_prev,
ht=pycyc.freq2time(CS.hf_prev),
csm=CS.modelCS(hf=CS.hf_prev),
)
print "reconstructed ph does not match original ph"
nfail +=1
cs, a, b, c = pycyc.make_model_cs(hf, ph, bw, ref_freq)
ph_pyrecon = pycyc.optimize_profile(cs, hf, bw, ref_freq)
ntests += 1
phreconerr = np.abs(ph[1:]-ph_pyrecon[1:]).mean() #skip zeroth harmonic since it's zeroed in ph
print "(pycyc) test if ph reconstructed from model cs and given hf matches original ph: ", phreconerr
if phreconerr > 1e-7:
print "reconstructed ph does not match original ph"
nfail +=1
CS = pycyc.CyclicSolver()
ht = pycyc.freq2time(hf)
CS.rindex = np.abs(ht).argmax()
print "pycyc rindex:",CS.rindex, "Cyclic-Modelling rindex:", params['rindex1']
ntests += 1
if CS.rindex != params['rindex1']:
print "rindex1 does not agree"
nfail +=1
CS.s0 = ph
CS.bw= bw
CS.ref_freq = ref_freq
CS.cs = cs
CS.objval = []
CS.nlag = ht.shape[0]
CS.nchan = ht.shape[0]
CS.iprint = 1
CS.make_plots = False
