import os.path
import sys
sys.path.append('/home/tom/Documents/skola/bakalarka/python/')
from derivatives import Frad, Fconv
from scipy.interpolate import UnivariateSpline
from EOS import rho, cp
from const import *
from ext_data import opac
for i in range(0, z.size):
FconvArr[i] = Fconv(T[i], P[i], z[i])
FradArr[i] = Frad(T[i], P[i], z[i])
rhoArr[i] = rho(T[i], P[i], z[i])
cpArr[i] = cp(T[i], P[i])
opacArr[i] = opac(T[i], rhoArr[i])
F = FconvArr + FradArr
F_spline = UnivariateSpline(z, F, s=0)
dFdz = F_spline.derivative()
dFdz = dFdz(z)
#dFdz = np.diff(F)/h
#dFdz = np.append(dFdz, dFdz[dFdz.size-1])
# semi-implicitni metoda pro casovy prirustek
#d_main = np.empty(500)
#d_sub = np.zeros(500)
#d_sup = np.zeros(500)
#b = np.zeros(500)
def opac(T, P, z):
opac0 = ext.opac(T, rho(T,P,z), z)
return opac0[0,0]
import sys
sys.path.append('/home/tom/Documents/skola/bakalarka/python/')
from derivatives import Frad, Fconv
from scipy.interpolate import UnivariateSpline
from EOS import rho, cp
from const import *
from ext_data import opac
for i in range (0, z.size):
FconvArr[i] = Fconv(T[i], P[i], z[i])
FradArr[i] = Frad(T[i], P[i], z[i])
rhoArr[i] = rho(T[i], P[i], z[i])
cpArr[i] = cp(T[i], P[i])
opacArr[i] = opac(T[i],rhoArr[i])
F = FconvArr+FradArr
F_spline = UnivariateSpline(z, F, s=0)
dFdz = F_spline.derivative()
dFdz = dFdz(z)
#dFdz = np.diff(F)/h
#dFdz = np.append(dFdz, dFdz[dFdz.size-1])
# semi-implicitni metoda pro casovy prirustek
#d_main = np.empty(500)
#d_sub = np.zeros(500)
#d_sup = np.zeros(500)
#b = np.zeros(500)
def opac(T, P, z):
opac0 = ext.opac(T, rho(T, P, z), z)
return opac0[0, 0]
