None, None, True, True).split()
else:
cmdargs = "python {} model {} {} {} {} {} {}".format(
tmap_script, n_pars, path.join(CThome, 'data'),
None, None, True, True).split()
status = subp.call(cmdargs)
newmap = TemperatureMap(fname=path.join(CThome, 'temporary.fits'))
subp.call(["rm", path.join(CThome, 'temporary.fits')])
data, meta = newmap.data, newmap.meta
fitsmap = Map(np.log10(newmap.goodness_of_fit), newmap.meta.copy())
#print fitsmap.max()
newmap.data = data
print '-------------MINMAX:-------------'#, newmap.min(), newmap.max(), newmap.shape,
#print newmap.data[newmap.data == 0].shape, '----------\n'
print 'GoF', fitsmap.min(), fitsmap.mean(), fitsmap.max()
print 'T_out', newmap.min(), newmap.mean(), newmap.max()
#truetemp = np.array(list(temps)*n_widths).reshape((n_widths, n_temps)).T
truetemp = np.array(list(temps)*n_heights).reshape((n_heights, n_temps)).T
#print truetemp.shape, data.shape
diff = Map((abs(truetemp - data) / truetemp) * 100, newmap.meta.copy())
print 'T_diff', diff.min(), diff.mean(), diff.max()
if n_pars == 3:
wdata = Map(newmap.dem_width, newmap.meta.copy())
truew = np.ones(shape=(n_temps, n_heights)) * wid
#print 'truew', truew.min(), truew.mean(), truew.max()
diffw = Map((abs(truew - wdata.data) / truew) * 100, newmap.meta.copy())
print 'w_out', wdata.min(), wdata.mean(), wdata.max()
print 'w_diff', diffw.min(), diffw.mean(), diffw.max()
#print wid, newmap.xrange, newmap.yrange, newmap.scale