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kk.py
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kk.py
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import ctypes
import scipy
import numpy
import point
import os
libkk = ctypes.cdll.LoadLibrary('/afs/ipp-garching.mpg.de/aug/ads/lib64/amd64_sles11/libkk.so')
__libkk__ = ctypes.cdll.LoadLibrary('/afs/ipp-garching.mpg.de/aug/ads/lib64/%s/libkk.so' % os.environ['SYS'])
__libc__ = ctypes.CDLL('libc.so.6')
__savedstdout__ = __libc__.dup(1)
__stdout__ = __libc__.fdopen(1, "w")
def __blockstdout__():
__libc__.freopen("/dev/null", "w", __stdout__)
def __releasestdout__():
__libc__.freopen("/dev/fd/%s" % str(__savedstdout__), "w", __stdout__)
class point:
R = 0.0
z = 0.0
rho = 0.0
def __init__( self , z=0.0 , R=0.0 , rho=0.0 ):
self.z = z
self.R = R
self.rho = rho
def __lt__( self , right ):
if self.z < right.z:
return True
return False
def __le__( self , right ):
if self.z <= right.z:
return True
return False
def __gt__( self , right ):
if self.z > right.z:
return True
return False
def __ge__( self , right ):
if self.z >= right.z:
return True
return False
class magneticField(object):
def __init__(self, time, R, z, Bt, Bz, Br, fpf, jpol):
object.__init__(self)
self.time = time
if numpy.size(Bt)!=1:
self.R = R
self.z = z
self.Bt = Bt
self.Bz = Bz
self.Br = Br
self.fpf = fpf
self.jpol = jpol
else:
self.R = R[0]
self.z = z[0]
self.Bt = Bt[0]
self.Bz = Bz[0]
self.Br = Br[0]
self.fpf = fpf[0]
self.jpol = jpol[0]
self.Bpol = numpy.sqrt(self.Bz**2 + self.Br**2)
__getitem__ = object.__getattribute__
def keys(self):
return self.__dict__.keys()
class equilibrium(object):
def __init__( self , shotnumber=None,experiment='AUGD',diagnostic='FPP',edition=0):
self.__status = False
self.__shotnumber = ctypes.c_int(0)
self.shotnumber = ctypes.c_int32(0)
self.__edition = ctypes.c_int(0)
self.edition = ctypes.c_int32(0)
self.experiment = b''
self.diagnostic = b''
if shotnumber != None:
self.Open( shotnumber , experiment , diagnostic , edition )
def __del__( self ):
self.Close()
def status():
def fget(self):
return self.shotnumber.value!=0
return locals()
status = property(**status())
def Open( self , shotnumber , exper='AUGD' , diag='FPP' , edition=0 ):
self.Close()
if shotnumber > 0:
self.__status = True
self.__shotnumber = ctypes.c_int(shotnumber)
self.shotnumber.value = shotnumber
self.__edition = ctypes.c_int(edition)
self.edition.value = edition
self.__diag = ctypes.c_char_p(diag)
try:
self.experiment = exper.encode()
except Exception:
self.experiment = exper
try:
self.diagnostic = diag.encode()
except Exception:
self.diagnostic = diag
self.__exper = ctypes.c_char_p(exper)
return self.status
def Close( self ):
if self.__status:
self.__status = False
self.__shotnumber = ctypes.c_int(0)
self.__edition = ctypes.c_int(0)
self.shotnumber.value = 0
self.edition.value = 0
self.experiment = b''
self.diagnostic = b''
def getMagneticField(self, time, R, z):
if not self.status:
raise Exception('No shotnumber specified.')
error = ctypes.c_int32(0)
t = ctypes.c_float(time)
N = numpy.size(R)
rin = numpy.zeros(N, dtype=numpy.float32)
rin[:] = R
zin = numpy.zeros(N, dtype=numpy.float32)
zin[:] = z
lin = ctypes.c_int32(rin.size)
br = numpy.zeros(rin.size, dtype=numpy.float32)
bz = numpy.zeros(rin.size, dtype=numpy.float32)
bt = numpy.zeros(rin.size, dtype=numpy.float32)
fpf = numpy.zeros(rin.size, dtype=numpy.float32)
jpol = numpy.zeros(rin.size, dtype=numpy.float32)
lexper = ctypes.c_uint64(len(self.experiment))
ldiag = ctypes.c_uint64(len(self.diagnostic))
__blockstdout__()
__libkk__.kkrzbrzt_(ctypes.byref(error), ctypes.c_char_p(self.experiment), ctypes.c_char_p(self.diagnostic),
ctypes.byref(self.shotnumber), ctypes.byref(self.edition), ctypes.byref(t), rin.ctypes.data_as(ctypes.c_void_p),
zin.ctypes.data_as(ctypes.c_void_p), ctypes.byref(lin) , br.ctypes.data_as(ctypes.c_void_p),
bz.ctypes.data_as(ctypes.c_void_p) , bt.ctypes.data_as(ctypes.c_void_p), fpf.ctypes.data_as(ctypes.c_void_p),
jpol.ctypes.data_as(ctypes.c_void_p), lexper , ldiag)
__releasestdout__()
return magneticField(t.value, rin, zin, bt, br, bz, fpf, jpol)
B = getMagneticField
def Rz_to_rhopol(self, time, R, z):
if not self.status:
raise Exception('No shotnumber specified.')
N = numpy.size(R)
rhoPol = numpy.zeros(N, dtype=numpy.float32)
fpf = numpy.zeros(N, dtype=numpy.float32)
error = ctypes.c_int32(0)
t = ctypes.c_float(time)
rin = numpy.zeros(N, dtype=numpy.float32)
zin = numpy.zeros(N, dtype=numpy.float32)
rin[:] = R
zin[:] = z
lin = ctypes.c_int32(N)
lexper = ctypes.c_uint64(len(self.experiment))
ldiag = ctypes.c_uint64(3)
__blockstdout__()
__libkk__.kkrzpfn_(ctypes.byref(error), ctypes.c_char_p(self.experiment), ctypes.c_char_p(self.diagnostic),
ctypes.byref(self.shotnumber), ctypes.byref(self.edition), ctypes.byref(t),
rin.ctypes.data_as(ctypes.c_void_p), zin.ctypes.data_as(ctypes.c_void_p), ctypes.byref(lin),
fpf.ctypes.data_as(ctypes.c_void_p), rhoPol.ctypes.data_as(ctypes.c_void_p), lexper, ldiag)
__releasestdout__()
return rhoPol[0] if N==1 else rhoPol
def s_to_Rz( self , s ):
N = numpy.size(s)
if self.__status:
error = ctypes.c_int( 0 )
_error = ctypes.byref( error )
_shotnumber = ctypes.byref(self.__shotnumber)
_edition = ctypes.byref(self.__edition)
if N == 1:
sin = ctypes.c_float( s )
else:
sin = (ctypes.c_float*N)()
for i in range( N ):
sin[i] = s[i]
_sin = ctypes.byref( sin )
Raus = (ctypes.c_float*N)()
zaus = (ctypes.c_float*N)()
aaus = (ctypes.c_float*N)()
_Raus = ctypes.byref( Raus )
_zaus = ctypes.byref( zaus )
_aaus = ctypes.byref( aaus )
length = ctypes.c_int( N )
_length = ctypes.byref( length )
lexper = ctypes.c_long( len(self.experiment) )
ldiag = ctypes.c_long( len(self.diagnostic) )
libkk.kkgcsrza_(_error ,self.__exper,self.__diag,_shotnumber,_edition,_length,_sin,_Raus,_zaus,_aaus,lexper,ldiag)
output = []
for i in range( N ):
output.append( point( zaus[i] , Raus[i] , 0.0 ) )
return output
return numpy.nan
def rhopol_to_Rz( self, time, rhopol, angle, degrees=False ): # angle in degrees...
N = numpy.size(rhopol)
if self.__status:
error = ctypes.c_int(0)
_error = ctypes.byref(error)
_shotnumber = ctypes.byref(self.__shotnumber)
_edition = ctypes.byref(self.__edition)
t = ctypes.c_float( time )
_t = ctypes.byref( t )
if N == 1:
rhopf = ctypes.c_float(rhopol) if isinstance(rhopol, float) else ctypes.c_float(rhopol[0])
Rn = ctypes.c_float(0)
zn = ctypes.c_float(0)
else:
rhopf = (ctypes.c_float*N)()
Rn = (ctypes.c_float*N)()
zn = (ctypes.c_float*N)()
for i in range(N):
rhopf[i] = rhopol[i]
Rn[i] = 0
zn[i] = 0
_rhopf = ctypes.byref(rhopf)
_Rn = ctypes.byref(Rn)
_zn = ctypes.byref(zn)
lrho = ctypes.c_int(N)
_lrho = ctypes.byref(lrho)
iorg = ctypes.c_int(0)
_iorg = ctypes.byref(iorg)
ang = ctypes.c_float(angle) if degrees else ctypes.c_float(angle/numpy.pi*180.)
_angle = ctypes.byref(ang)
lexper = ctypes.c_long(len(self.__exper))
ldiag = ctypes.c_long(3)
libkk.kkrhorz_(_error, self.__exper,self.__diag,_shotnumber,_edition,_t,\
_rhopf, _lrho, _iorg, _angle,\
_Rn, _zn,\
lexper, ldiag)
if N == 1:
return {'error' : numpy.int_(error),\
'time' : numpy.float32(t),\
'R' : numpy.float32(Rn),\
'z' : numpy.float32(zn)}
else:
return {'error' : numpy.int_(error),\
'time' : numpy.float32(t),\
'R' : numpy.array(Rn),\
'z' : numpy.array(zn)}
def rhopol_to_q(self, time, rhopol):
N = numpy.size(rhopol)
if self.__status:
error = ctypes.c_int(0)
_error = ctypes.byref(error)
_shotnumber = ctypes.byref(self.__shotnumber)
_edition = ctypes.byref(self.__edition)
t = ctypes.c_float( time )
_t = ctypes.byref( t )
if N == 1:
rhopf = ctypes.c_float(rhopol) if isinstance(rhopol, float) else ctypes.c_float(rhopol[0])
q = ctypes.c_float(0)
pf = ctypes.c_float(0)
else:
rhopf = (ctypes.c_float*N)()
q = (ctypes.c_float*N)()
pf = (ctypes.c_float*N)()
for i in range(N):
rhopf[i] = rhopol[i]
q[i] = 0
pf[i] = 0
_rhopf = ctypes.byref(rhopf)
_q = ctypes.byref(q)
_pf = ctypes.byref(pf)
lrho = ctypes.c_int(N)
_lrho = ctypes.byref(lrho)
lexper = ctypes.c_long(len(self.experiment))
ldiag = ctypes.c_long(3)
libkk.kkrhopfq_(_error, self.__exper,self.__diag,_shotnumber,_edition,_t,\
_rhopf, _lrho,\
_q,_pf,\
lexper, ldiag)
if N == 1:
return {'error' : numpy.int_(error),\
'time' : numpy.float32(t),\
'q' : numpy.float32(q),\
'pf' : numpy.float32(pf)}
else:
return {'error' : numpy.int_(error),\
'time' : numpy.float32(t),\
'q' : numpy.frombuffer(q, numpy.float32),\
'pf' : numpy.frombuffer(pf, numpy.float32)}
def rhopol_to_rhotor(self, time, rhopol):
N = numpy.size(rhopol)
if self.__status:
error = ctypes.c_int(0)
_error = ctypes.byref(error)
_shotnumber = ctypes.byref(self.__shotnumber)
_edition = ctypes.byref(self.__edition)
t = ctypes.c_float( time )
_t = ctypes.byref( t )
if N == 1:
rhopf = ctypes.c_float(rhopol) if isinstance(rhopol, float) else ctypes.c_float(rhopol[0])
rhot = ctypes.c_float(0)
pf = ctypes.c_float(0)
fpf = ctypes.c_float(0)
ftf = ctypes.c_float(0)
else:
rhopf = (ctypes.c_float*N)()
rhot = (ctypes.c_float*N)()
pf = (ctypes.c_float*N)()
fpf = (ctypes.c_float*N)()
ftf = (ctypes.c_float*N)()
for i in range(N):
rhopf[i] = rhopol[i]
rhot[i] = 0
pf[i] = 0
fpf[i] = 0
ftf[i] = 0
_rhopf = ctypes.byref(rhopf)
_rhot = ctypes.byref(rhot)
_pf = ctypes.byref(pf)
lrho = ctypes.c_int(N)
_lrho = ctypes.byref(lrho)
_fpf = ctypes.byref(fpf)
_ftf = ctypes.byref(ftf)
lexper = ctypes.c_long(len(self.experiment))
ldiag = ctypes.c_long(3)
libkk.kkrhopto_(_error, self.__exper,self.__diag,_shotnumber,_edition,_t,\
_rhopf, _lrho,\
_rhot,_fpf,_ftf,\
lexper, ldiag)
#kkrhopto (&error,exp,diag,&shot,&edition, &time,
#rhopf, &lrho,
#rhopf, fpf, ftf , strlen(exp), strlen(diag) );
if N == 1:
return {'error' : numpy.int_(error),\
'time' : numpy.float32(t),\
'rhotor' : numpy.float32(rhot),\
'fpf' : numpy.float32(fpf),\
'ftf': numpy.float32(ftf)}
else:
return {'error' : numpy.int_(error),\
'time' : numpy.float32(t),\
'rhotor' : numpy.array(rhot, dtype=float),\
'fpf' : numpy.array(fpf, dtype=float),\
'ftf': numpy.array(ftf, dtype=float)}
def theta_to_sfla(self, time, q, theta, degrees=False):
N = numpy.size(theta)
if self.__status:
error = ctypes.c_int(0)
_error = ctypes.byref(error)
_shotnumber = ctypes.byref(self.__shotnumber)
_edition = ctypes.byref(self.__edition)
t = ctypes.c_float( time )
_t = ctypes.byref( t )
lexper = ctypes.c_long(len(self.experiment))
ldiag = ctypes.c_long(3)
cq = ctypes.c_float(q)
_q = ctypes.byref(cq)
swrad = ctypes.c_int(0) if degrees else ctypes.c_int(1)
_swrad = ctypes.byref(swrad)
langle = ctypes.c_int(N)
_langle = ctypes.byref(langle)
_Rmag = ctypes.byref(ctypes.c_float(0))
_zmag = ctypes.byref(ctypes.c_float(0))
_tSHf = ctypes.byref(ctypes.c_float(0)) # no idea what that is, docs aren't clear
# todo: N*_angle, N*_Rn/_zn, N*
if N == 1:
angle = ctypes.c_float(theta)
Rn = ctypes.c_float(0)
zn = ctypes.c_float(0)
thetsn = ctypes.c_float(0)
Brn = ctypes.c_float(0)
Bzn = ctypes.c_float(0)
Btn = ctypes.c_float(0)
else:
angle = (ctypes.c_float*N)()
Rn = (ctypes.c_float*N)()
zn = (ctypes.c_float*N)()
thetsn = (ctypes.c_float*N)()
Brn = (ctypes.c_float*N)()
Bzn = (ctypes.c_float*N)()
Btn = (ctypes.c_float*N)()
for i in range(N):
angle [i] = theta[i]
Rn [i] = 0
zn [i] = 0
thetsn [i] = 0
Brn [i] = 0
Bzn [i] = 0
Btn [i] = 0
_angle = ctypes.byref(angle )
_Rn = ctypes.byref(Rn )
_zn = ctypes.byref(zn )
_thetsn = ctypes.byref(thetsn)
_Brn = ctypes.byref(Brn )
_Bzn = ctypes.byref(Bzn )
_Btn = ctypes.byref(Btn )
libkk.kkeqqfl_(_error, self.__exper,self.__diag,_shotnumber,_edition,_t,\
_q, _langle, _angle, _swrad,\
_Rmag,_zmag,_Rn,_zn, _tSHf,\
_thetsn, _Brn, _Bzn, _Btn,\
lexper, ldiag)
if numpy.int_(error) != 0:
print 'kkeqqfl_ error ', numpy.int_(error)
if numpy.int_(error) == 14:
print 'libkk note: 2*numpy\'s pi is a little too big for libkk.so; lower it a little bit'
return {'error': numpy.int_(error)}
if N == 1:
return {'error' : numpy.int_(error),\
'time' : numpy.float32(t),\
'sfla' : numpy.float32(thetsn)}
else:
return {'error' : numpy.int_(error),\
'time' : numpy.float32(t),\
'sfla' : numpy.array(thetsn)}
def psi_to_rhopol(self, time, psi):
N = numpy.size(psi)
if self.__status:
error = ctypes.c_int(0)
_error = ctypes.byref(error)
_shotnumber = ctypes.byref(self.__shotnumber)
_edition = ctypes.byref(self.__edition)
t = ctypes.c_float( time )
_t = ctypes.byref( t )
lexper = ctypes.c_long(len(self.experiment))
ldiag = ctypes.c_long(3)
lrho = ctypes.c_int(N)
_lrho = ctypes.byref(lrho)
if N == 1:
PFi = ctypes.c_float(psi)
rhoPF = ctypes.c_float(0)
else:
PFi = (ctypes.c_float*N)()
rhoPF = (ctypes.c_float*N)()
for i in range(N):
PFi[i] = psi[i]
rhoPF[i] = 0
_PFi = ctypes.byref(PFi)
_rhoPF = ctypes.byref(rhoPF)
#kkPFrhoP (iERR ,expnam,dianam,nSHOT,nEDIT,tSHOT,
# > PFi,Lrho,
# < rhoPF)
libkk.kkpfrhop_(_error, self.__exper, self.__diag, _shotnumber,_edition,_t,
_PFi, _lrho,
_rhoPF,
lexper, ldiag)
if N == 1:
return numpy.float32(rhoPF)
else:
return numpy.frombuffer(rhoPF, numpy.float32)
def get_jpol(self, time, N, NSOL=0):
if self.__status:
error = ctypes.c_int(0)
_error = ctypes.byref(error)
_shotnumber = ctypes.byref(self.__shotnumber)
_edition = ctypes.byref(self.__edition)
t = ctypes.c_float( time )
_t = ctypes.byref( t )
lexper = ctypes.c_long(len(self.experiment))
ldiag = ctypes.c_long(3)
PFL = (ctypes.c_float*(N+NSOL+1))()
Jpol = (ctypes.c_float*(N+NSOL+1))()
Jpolp = (ctypes.c_float*(N+NSOL+1))()
_PFL = ctypes.byref(PFL )
_Jpol = ctypes.byref(Jpol )
_Jpolp = ctypes.byref(Jpolp)
N = ctypes.c_int(N)
NSOL = ctypes.c_int(NSOL)
_LPFp = ctypes.byref(N)
_LPFe = ctypes.byref(NSOL)
# kkEQJpolsol (iERR ,expnam,dianam,nSHOT,nEDIT,tSHOT,
# < LPFp,LPFe,PFL,Jpol,Jpolp)
if NSOL.value != 0:
libkk.kkeqjpolsol_(_error, self.__exper, self.__diag, _shotnumber,_edition,_t,
_LPFp, _LPFe, _PFL, _Jpol, _Jpolp,
lexper, ldiag)
else:
libkk.kkeqjpol_(_error, self.__exper, self.__diag, _shotnumber,_edition,_t,
_LPFp, _PFL, _Jpol, _Jpolp,
lexper, ldiag)
# kkeqjpol returns values from the separatrix to the magnetic axis,
# but kkeqjpolsol from the axis via the separatrix to the scrape off layer.
return {'pfl':numpy.frombuffer(PFL, numpy.float32)[:N.value+NSOL.value+1],
'Jpol':numpy.frombuffer(Jpol, numpy.float32)[:N.value+NSOL.value+1],
'Jpolp':numpy.frombuffer(Jpolp, numpy.float32)[:N.value+NSOL.value+1],
'N':N.value,
'NSOL':NSOL.value}
pass
def get_p(self, time, psi):
N = numpy.size(psi)
if self.__status:
error = ctypes.c_int(0)
_error = ctypes.byref(error)
_shotnumber = ctypes.byref(self.__shotnumber)
_edition = ctypes.byref(self.__edition)
t = ctypes.c_float( time )
_t = ctypes.byref( t )
lexper = ctypes.c_long(len(self.experiment))
ldiag = ctypes.c_long(3)
PFL = (ctypes.c_float*(N+1))()
pres = (ctypes.c_float*(N+1))()
presp = (ctypes.c_float*(N+1))()
_PFL = ctypes.byref(PFL )
_pres = ctypes.byref(pres )
_presp = ctypes.byref(presp)
N = ctypes.c_int(N)
_LPF = ctypes.byref(N)
#kkeqpres (&error, exp,diag,&shot,&edition, &time,
# &lpf, pfl, pres, presp, strlen(exp), strlen(diag) );)
libkk.kkeqpres_(_error, self.__exper, self.__diag, _shotnumber,_edition,_t,
_LPF, _PFL, _pres, _presp,
lexper, ldiag)
return {'pfl':numpy.frombuffer(PFL, numpy.float32)[:N.value+1],
'pres':numpy.frombuffer(pres, numpy.float32)[:N.value+1],
'presp':numpy.frombuffer(presp, numpy.float32)[:N.value+1],
'N':N.value}
def get_special_points(self, time):
if self.__status:
error = ctypes.c_int(0)
_error = ctypes.byref(error)
_shotnumber = ctypes.byref(self.__shotnumber)
_edition = ctypes.byref(self.__edition)
t = ctypes.c_float( time )
_t = ctypes.byref( t )
lexper = ctypes.c_long(len(self.experiment))
ldiag = ctypes.c_long(3)
#kkeqpfx (&error, ,exp,diag,&shot,&edition, &time,
# &lpfx, pfxx, rpfx, zpfx,
# strlen(exp), strlen(diag) );
N = 5
_lpfx = ctypes.byref(ctypes.c_int(N-1))
pfxx = (ctypes.c_float*N)()
rpfx = (ctypes.c_float*N)()
zpfx = (ctypes.c_float*N)()
_pfxx = ctypes.byref(pfxx)
_rpfx = ctypes.byref(rpfx)
_zpfx = ctypes.byref(zpfx)
#print self.__shotnumber.value
libkk.kkeqpfx_(_error, self.__exper, self.__diag, _shotnumber,_edition,_t,
_lpfx, _pfxx, _rpfx, _zpfx,
lexper, ldiag)
#0. Magnetic axis
#1. Primary X point
#2. Primary limiter point
#3. Secondary X point
#4. Secondary limiter point
return {'pfxx':numpy.frombuffer(pfxx, numpy.float32),
'rpfx':numpy.frombuffer(rpfx, numpy.float32),
'zpfx':numpy.frombuffer(zpfx, numpy.float32)}
def get_ffprime(self, time, psi, typ=11):
# typ:
# flag if quantities should be read from shotfile or calculated:
# 11: read from shotfile if available, otherwise calculate
# 1: read from shotfile, return error if not available
# 2: calculate, regardless if available in the shotfile
N = numpy.size(psi)
if self.__status:
error = ctypes.c_int(0)
_error = ctypes.byref(error)
_shotnumber = ctypes.byref(self.__shotnumber)
_edition = ctypes.byref(self.__edition)
t = ctypes.c_float( time )
_t = ctypes.byref( t )
lexper = ctypes.c_long(len(self.experiment))
ldiag = ctypes.c_long(3)
PFL = (ctypes.c_float*(N+1))()
ffp = (ctypes.c_float*(N+1))()
_PFL = ctypes.byref(PFL )
_ffp = ctypes.byref(ffp )
N = ctypes.c_int(N)
_LPF = ctypes.byref(N)
_typ = ctypes.byref(ctypes.c_int(typ))
#kkeqffp_(&error,exp,diag,&shot,&edition, &time,
# &typ, &lpf, pfl, ffp, strlen(exp), strlen(diag) );
libkk.kkeqffp_(_error, self.__exper, self.__diag, _shotnumber,_edition,_t,
_typ, _LPF, _PFL, _ffp,
lexper, ldiag)
return {'pfl':numpy.frombuffer(PFL, numpy.float32)[:N.value+1],
'ffp':numpy.frombuffer(ffp, numpy.float32)[:N.value+1], 'N':N.value}
def get_Rinv(self, time, psi, typ=11):
# typ:
# flag if quantities should be read from shotfile or calculated:
# 11: read from shotfile if available, otherwise calculate
# 1: read from shotfile, return error if not available
# 2: calculate, regardless if available in the shotfile
N = numpy.size(psi)
if self.__status:
error = ctypes.c_int(0)
_error = ctypes.byref(error)
_shotnumber = ctypes.byref(self.__shotnumber)
_edition = ctypes.byref(self.__edition)
t = ctypes.c_float( time )
_t = ctypes.byref( t )
lexper = ctypes.c_long(len(self.experiment))
ldiag = ctypes.c_long(3)
PFL = (ctypes.c_float*(N+1))()
rinv = (ctypes.c_float*(N+1))()
r2inv = (ctypes.c_float*(N+1))()
_PFL = ctypes.byref(PFL )
_rinv = ctypes.byref(rinv )
_r2inv = ctypes.byref(r2inv )
N = ctypes.c_int(N)
_LPF = ctypes.byref(N)
_typ = ctypes.byref(ctypes.c_int(typ))
#kkeqffp_(&error,exp,diag,&shot,&edition, &time,
# &typ, &lpf, pfl, ffp, strlen(exp), strlen(diag) );
libkk.kkeqrinv_(_error, self.__exper, self.__diag, _shotnumber,_edition,_t,
_typ, _LPF, _PFL, _rinv, _r2inv,
lexper, ldiag)
return {'pfl':numpy.frombuffer(PFL, numpy.float32)[:N.value+1],
'rinv':numpy.frombuffer(rinv, numpy.float32)[:N.value+1],
'r2inv':numpy.frombuffer(r2inv, numpy.float32)[:N.value+1], 'N':N.value}
def get_jpar(self, time, N, typ=11):
# void kkeqjpar_( int*, char*, char*, int*, int*, float*,
# int*, int*,
# float*, float*, float*,
# long, long);
if self.__status:
error = ctypes.c_int(0)
_error = ctypes.byref(error)
_shotnumber = ctypes.byref(self.__shotnumber)
_edition = ctypes.byref(self.__edition)
t = ctypes.c_float( time )
_t = ctypes.byref( t )
lexper = ctypes.c_long(len(self.experiment))
ldiag = ctypes.c_long(3)
PFL = (ctypes.c_float*(N+1))()
Jpar = (ctypes.c_float*(N+1))()
Jparp = (ctypes.c_float*(N+1))()
_PFL = ctypes.byref(PFL )
_Jpar = ctypes.byref(Jpar )
_Jparp = ctypes.byref(Jparp)
N = ctypes.c_int(N)
_LPFp = ctypes.byref(N)
_typ = ctypes.byref(ctypes.c_int(typ))
libkk.kkeqjpar_(_error, self.__exper, self.__diag, _shotnumber,_edition,_t,
_typ, _LPFp,
_PFL, _Jpar, _Jparp,
lexper, ldiag)
return {'pfl':numpy.frombuffer(PFL, numpy.float32)[:N.value+1],
'Jpar':numpy.frombuffer(Jpar, numpy.float32)[:N.value+1],
'Jparp':numpy.frombuffer(Jparp, numpy.float32)[:N.value+1],
'N':N.value}
def get_pfm(self, time, m=65, n=129):
o_m = m
o_n = n
if self.__status:
error = ctypes.c_int(0)
_error = ctypes.byref(error)
_shotnumber = ctypes.byref(self.__shotnumber)
_edition = ctypes.byref(self.__edition)
t = ctypes.c_float( time )
_t = ctypes.byref( t )
lexper = ctypes.c_long(len(self.experiment))
ldiag = ctypes.c_long(3)
mdim = ctypes.c_int(m)
m = ctypes.c_int(m)
n = ctypes.c_int(n)
Ri = (ctypes.c_float*(m.value))()
zj = (ctypes.c_float*(n.value))()
pfm = ((ctypes.c_float*(m.value))*n.value)()
_mdim = ctypes.byref(mdim)
_m = ctypes.byref(m)
_n = ctypes.byref(n)
_Ri = ctypes.byref(Ri)
_zj = ctypes.byref(zj)
_pfm = ctypes.byref(pfm)
# kkeqpfm_( int*, char*, char*, int*, int*, float*,
# &mdim, &m, &n, Ri, zj, pfm,
# long, long);
libkk.kkeqpfm_(_error, self.__exper, self.__diag, _shotnumber,_edition,_t,
_mdim, _m, _n, _Ri, _zj, _pfm,
lexper, ldiag)
return {
'pfm':numpy.frombuffer(pfm, numpy.float32).reshape(o_n, o_m)[:n.value, :m.value],
'Ri':numpy.frombuffer(Ri, numpy.float32)[:m.value],
'zj':numpy.frombuffer(zj, numpy.float32)[:n.value]
}
def psi_to_v(self, time, psis):
N = numpy.size(psis)
if self.__status:
error = ctypes.c_int(0)
_error = ctypes.byref(error)
_shotnumber = ctypes.byref(self.__shotnumber)
_edition = ctypes.byref(self.__edition)
t = ctypes.c_float( time )
_t = ctypes.byref( t )
lexper = ctypes.c_long(len(self.experiment))
ldiag = ctypes.c_long(3)
fpf = (ctypes.c_float*N)()
for i in range(N):
fpf[i] = psis[i]
_fpf = ctypes.byref(fpf)
lin = ctypes.c_int(N)
v = (ctypes.c_float*N)()
work = (ctypes.c_float*N)()
_v = ctypes.byref(v)
_work = ctypes.byref(work)
libkk.kkpfv(_error, self.__exper, self.__diag, self.__shotnumber,_edition,_t,
fpf, lin,
_v, _work)#,
return {'volume': numpy.frombuffer(v, numpy.float32), 'workingarea': numpy.frombuffer(work, numpy.float32)}
#libkk.kkpfv(byref(error), byref(exp), byref(diag), shot, byref(edition),
# byref(tshot),
# fpf, lin,
# byref(v), byref(work) )
def get_volume(self, time, psi):
N = numpy.size(psi)
if self.__status:
error = ctypes.c_int(0)
_error = ctypes.byref(error)
_shotnumber = ctypes.byref(self.__shotnumber)
_edition = ctypes.byref(self.__edition)
t = ctypes.c_float( time )
_t = ctypes.byref( t )
lexper = ctypes.c_long(len(self.experiment))
ldiag = ctypes.c_long(3)
PFL = (ctypes.c_float*(N+1))()
vol = (ctypes.c_float*(N+1))()
volp = (ctypes.c_float*(N+1))()
_PFL = ctypes.byref(PFL )
_vol = ctypes.byref(vol )
_volp = ctypes.byref(volp )
N = ctypes.c_int(N)
_LPF = ctypes.byref(N)
libkk.kkeqvol(_error, self.__exper, self.__diag, self.__shotnumber,_edition,_t,
_LPF, _PFL, _vol, _volp);
return {'pfl':numpy.frombuffer(PFL, numpy.float32)[:N.value+1],
'vol':numpy.frombuffer(vol, numpy.float32)[:N.value+1],
'volp':numpy.frombuffer(volp, numpy.float32)[:N.value+1], 'N':N.value}
#libkk.kkeqvol(byref(error), exp,diag, shot, byref(edition), byref(time),
# byref(lpf), byref(pfl), byref(vol), byref(volp));
#kkeqffp_(&error,exp,diag,&shot,&edition, &time,
# &typ, &lpf, pfl, ffp, strlen(exp), strlen(diag) );
#libkk.kkeqffp_(_error, self.__exper, self.__diag, _shotnumber,_edition,_t,
# _typ, _LPF, _PFL, _ffp,
# lexper, ldiag)
#return {'pfl':numpy.frombuffer(PFL, numpy.float32)[:N.value+1],
# 'ffp':numpy.frombuffer(ffp, numpy.float32)[:N.value+1], 'N':N.value}
#void kkeqqfld_( int*, char*, char*, int*, int*, float*,
# float*, int*, float*, int*,
# float*, float*, float*, float*, float*,
# float*, float*, float*, float*, float*,
# long, long);
#C +---------------------------------+
#C (3.4) calc. straight field line angle
#C +---------------------------------+
#C
#C ___________________ {EQU,FPP} calc. straight f.l.angle for qval:
#C kkEQqFL (iERR ,expnam,dianam,nSHOT,nEDIT, tSHOT,
#C > qval,Nangl,angle,swrad,
#C < Rmag,zmag,Rn,zn, tSHf ,
#C < thetsn, Brn,Bzn,Btn)
#C kkEQqFLd (iERR ,expnam,dianam,nSHOT,nEDIT, tSHOT,
#C > qval,Nangl,angle,swrad,
#C < Rmag,zmag,Rn,zn, tSHf ,
#C < thetsn,dtht,Brn,Bzn,Btn)
#C -------------------------------------------------------
#C (3.4) calc. straight field line angle ..kkEQqFL,d ( )
#C qval ...q_value (real* 4) -> <--
#C Nangl ...# of elements in angle (integer) ->
#C angle ...1D array of angle [dgr] | [rad] (real *4) ->
#C swrad ...switch for units of angles: ->
#C := 0 ...angles in [degrees]
#C := 1 ...angles in [radians]
#C R,zmag ...position of magn.axis [m] (real *4) <--
#C Rn,zn ...1D arrays of surface points (real *4) <--
#C thetsn ...straight_field_line_angle (real *4) <--
#C ...1D array: [dgr] | [rad]
#C dtht ...d/dtheta(thetsn) (real *4) <--
#C Br,z,tn...1D arrays of B_components [T] (real *4) <--
#