def verifySettings(self):
"""
Verify that all (mandatory) settings are set and consistent.
"""
if self.type in [
TYPE_UNIFORM, TYPE_BIUNIFORM, TYPE_UNIFORM_THETA,
TYPE_BIUNIFORM_THETA, TYPE_CUSTOM
]:
if self.nxi is None or self.nxi <= 0:
raise DREAMException(
"XiGrid {}: Invalid value assigned to 'nxi': {}. Must be > 0."
.format(self.name, self.nxi))
else:
raise DREAMException(
"XiGrid {}: Unrecognized grid type specified: {}.".format(
self.name, self.type))
if self.type == TYPE_BIUNIFORM:
if self.nxisep is not None and (self.nxisep <= 0
or self.nxisep >= self.nxi):
raise DREAMException(
"XiGrid {}: Invalid value assigned to 'nxisep': {}. Must be > 0 and < nxi."
.format(self.name, self.nxisep))
if self.nxisep_frac is not None and (self.nxisep_frac <= 0
or self.nxisep_frac >= 1):
raise DREAMException(
"XiGrid {}: Invalid value assigned to 'nxisep_frac': {}. Must be > 0 and < 1."
.format(self.name, self.nxisep))
elif self.nxisep is None and self.nxisep_frac is None:
raise DREAMException(
"XiGrid {}: Neither 'nxisep' nor 'nxisep_frac' have been specified."
.format(self.name))
elif self.xisep is None or self.xisep <= -1 or self.xisep >= 1:
raise DREAMException(
"XiGrid {}: Invalid value assigned to 'xisep': {}. Must be > -1 and < 1."
.format(self.name, self.xisep))
elif self.type == TYPE_BIUNIFORM_THETA:
if self.nthetasep is not None and (self.nthetasep <= 0
or self.nthetasep >= self.nxi):
raise DREAMException(
"XiGrid {}: Invalid value assigned to 'nthetasep': {}. Must be > 0 and < nxi."
.format(self.name, self.nthetasep))
elif self.nthetasep_frac is not None and (
self.nthetasep_frac <= 0 or self.nthetasep_frac >= 1):
raise DREAMException(
"XiGrid {}: Invalid value assigned to 'nthetasep_frac': {}. Must be > 0 and < 1."
.format(self.name, self.nthetasep_frac))
elif self.nthetasep is None and self.nthetasep_frac is None:
raise DREAMException(
"XiGrid {}: Neither 'nthetasep' nor 'nthetasep_frac' have been specified."
.format(self.name))
elif self.thetasep is None or self.thetasep <= 0 or self.thetasep >= np.pi:
raise DREAMException(
"XiGrid {}: Invalid value assigned to 'thetasep': {}. Must be > 0 and < pi."
.format(self.name, self.thetasep))
def verifySettings(self):
"""
Verify that all (mandatory) settings are set and consistent.
"""
if self.type == TYPE_PXI:
if self.enabled:
self.pgrid.verifySettings()
self.xigrid.verifySettings()
elif self.type == TYPE_PPARPPERP:
raise DREAMException("{}: No support implemented yet for 'ppar/pperp' grids.".format(self.name))
else:
raise DREAMException("{}: Unrecognized momentum grid type specified: {}.".format(self.name, self.type))
def set(self, enabled=True, ttype=1, np=100, nxi=1, pmax=None):
"""
Set all settings for this hot-tail grid.
"""
self.enabled = enabled
self.type = ttype
if self.type == TYPE_PXI:
self.pgrid = PGrid(self.name, np=np, pmax=pmax)
self.xigrid = XiGrid(self.name, nxi=nxi)
elif self.type == TYPE_PPARPPERP:
raise DREAMException("No support implemented yet for 'ppar/pperp' grids.")
else:
raise DREAMException("Unrecognized momentum grid type specified: {}.".format(ttype))
def setNp(self, np):
if np <= 0:
raise DREAMException("{}: Invalid value assigned to 'np': {}. Must be > 0.".format(self.name, np))
elif np == 1:
print("WARNING: {}: np = 1. Consider disabling the hot-tail grid altogether.".format(self.name))
self.pgrid.setNp(np)
def setPmax(self, pmax):
if pmax <= 0:
raise DREAMException(
"PGrid {}: Invalid value assigned to 'pmax': {}. Must be > 0.".
format(self.name, pmax))
self.pmax = float(pmax)
def fromdict(self, data):
"""
Load settings from the given dictionary.
"""
def scal(v):
if type(v) == np.ndarray: return v[0]
else: return v
self.type = data['type']
if 'wall_radius' in data:
self.b = data['wall_radius']
if type(self.b) == np.ndarray:
self.b = float(self.b[0])
else:
self.b = float(self.b)
if self.type == TYPE_CYLINDRICAL or self.type == TYPE_ANALYTIC_TOROIDAL or self.type == TYPE_NUMERICAL:
self.a = data['a']
self.nr = data['nr']
self.r0 = data['r0']
if 'r_f' in data:
self.r_f = data['r_f']
if self.type == TYPE_CYLINDRICAL:
self.B0 = data['B0']
elif self.type == TYPE_ANALYTIC_TOROIDAL:
self.R0 = data['R0']
self.ntheta = data['ntheta']
self.Delta = data['Delta']['x']
self.Delta_r = data['Delta']['r']
self.delta = data['delta']['x']
self.delta_r = data['delta']['r']
self.GOverR0 = data['GOverR0']['x']
self.GOverR0_r = data['GOverR0']['r']
self.kappa = data['kappa']['x']
self.kappa_r = data['kappa']['r']
self.psi_p0 = data['psi_p0']['x']
self.psi_p0_r = data['psi_p0']['r']
elif self.type == TYPE_NUMERICAL:
self.num_filename = data['filename']
self.ntheta = data['ntheta']
if 'fileformat' in data:
self.num_fileformat = data['fileformat']
else:
raise DREAMException(
"RadialGrid: Unrecognized grid type specified: {}.".format(
self.type))
if 'ripple' in data:
self.ripple_ncoils = int(scal(data['ripple']['ncoils']))
self.ripple_deltacoils = float(scal(data['ripple']['deltacoils']))
self.ripple_m = data['ripple']['m']
self.ripple_n = data['ripple']['n']
self.ripple_dB_B = data['ripple']['x']
self.ripple_r = data['ripple']['r']
self.ripple_t = data['ripple']['t']
def setType(self, ttype):
"""
Set the type of p grid generator.
"""
if ttype == TYPE_UNIFORM or ttype == TYPE_BIUNIFORM:
self.type = ttype
else:
raise DREAMException(
"PGrid {}: Unrecognized grid type specified: {}.".format(
self.name, self.type))
def setMajorRadius(self, R0):
"""
(Analytic toroidal)
Set the tokamak major radius.
"""
if R0 <= 0:
raise DREAMException(
"RadialGrid: Invalid value assigned to major radius 'R0': {}".
format(R0))
self.R0 = float(R0)
def setType(self, ttype):
"""
Set the type of radial grid to use.
"""
types = [TYPE_CYLINDRICAL, TYPE_ANALYTIC_TOROIDAL, TYPE_NUMERICAL]
if ttype in types:
self.type = ttype
else:
raise DREAMException(
"RadialGrid: Unrecognized grid type specified: {}.".format(
ttype))
def setBiuniform(self, psep, npsep=None, npsep_frac=None):
self.type = TYPE_BIUNIFORM
self.psep = psep
if npsep is not None:
self.npsep = npsep
self.npsep_frac = None
elif npsep_frac is not None:
self.npsep = None
self.npsep_frac = npsep_frac
else:
raise DREAMException(
"PGrid biuniform {}: npsep or npsep_frac must be set.")
def setNtheta(self, ntheta):
"""
(Analytic toroidal and numerical)
Set the number of grid points to use for the poloidal grid on which bounce
averages are calculated.
"""
if ntheta <= 0:
raise DREAMException(
"RadialGrid: Invalid value assigned to 'ntheta': {}".format(
ntheta))
self.ntheta = ntheta
def fromdict(self, name, data):
"""
Loads a momentum grid from the specified dictionary.
"""
self.name = name
self.enabled = data['enabled']
self.type = data['type']
if self.enabled:
if self.type == TYPE_PXI:
self.pgrid = PGrid(name, data=data)
self.xigrid = XiGrid(name, data=data)
elif self.type == TYPE_PPARPPERP:
raise DREAMException("No support implemented yet for loading 'ppar/pperp' grids.")
else:
raise DREAMException("Unrecognized momentum grid type specified: {}.".format(self.type))
else:
# Set default grid
self.set(enabled=False, ttype=self.type)
self.verifySettings()
def setType(self, ttype):
"""
Set the type of xi grid generator.
"""
if ttype in [
TYPE_UNIFORM, TYPE_BIUNIFORM, TYPE_UNIFORM_THETA,
TYPE_BIUNIFORM_THETA
]:
self.type = ttype
else:
raise DREAMException(
"XiGrid {}: Unrecognized grid type specified: {}.".format(
self.name, self.type))
def verifySettingsShapeParameter(self, shapeparam):
"""
Verify the settings of the named shape parameter.
:param str shapeparam: Name of shape parameter to verify settings for.
"""
v = getattr(self, shapeparam)
r = getattr(self, shapeparam + '_r')
if v is None or type(v) != np.ndarray:
raise DREAMException(
"RadialGrid: Invalid type of shape parameter '{}': {}.".format(
shapeparam, type(v)))
elif r is None or type(r) != np.ndarray:
raise DREAMException(
"RadialGrid: Invalid type of radial grid for shape parameter '{}': {}."
.format(shapeparam, type(r)))
if v.shape != r.shape:
raise DREAMException(
"RadialGrid: Dimensions mismatch between shape parameter '{}' {} and its radial grid {}."
.format(shapeparam, v.shape, r.shape))
def todict(self, verify=True):
"""
Returns the settings in this object as a Python dictionary.
"""
if verify:
self.verifySettings()
data = {'type': self.type}
if self.type == TYPE_CYLINDRICAL or self.type == TYPE_ANALYTIC_TOROIDAL or self.type == TYPE_NUMERICAL:
data['a'] = self.a
data['nr'] = self.nr
data['r0'] = self.r0
data['wall_radius'] = self.b
if self.r_f is not None:
data['r_f'] = self.r_f
if self.type == TYPE_CYLINDRICAL:
data['B0'] = self.B0
elif self.type == TYPE_ANALYTIC_TOROIDAL:
data['R0'] = self.R0
data['ntheta'] = self.ntheta
data['Delta'] = {'x': self.Delta, 'r': self.Delta_r}
data['delta'] = {'x': self.delta, 'r': self.delta_r}
data['GOverR0'] = {'x': self.GOverR0, 'r': self.GOverR0_r}
data['kappa'] = {'x': self.kappa, 'r': self.kappa_r}
data['psi_p0'] = {'x': self.psi_p0, 'r': self.psi_p0_r}
elif self.type == TYPE_NUMERICAL:
data['filename'] = self.num_filename
data['ntheta'] = self.ntheta
if self.num_fileformat is not None:
data['fileformat'] = self.num_fileformat
else:
raise DREAMException(
"RadialGrid: Unrecognized grid type specified: {}.".format(
self.type))
if self.ripple_ncoils > 0 or self.ripple_deltacoils > 0:
data['ripple'] = {
'ncoils': self.ripple_ncoils,
'deltacoils': self.ripple_deltacoils,
'm': self.ripple_m,
'n': self.ripple_n,
'x': self.ripple_dB_B,
'r': self.ripple_r,
't': self.ripple_t
}
return data
def todict(self, verify=True):
"""
Returns a Python dictionary containing all settings of
this MomentumGrid object.
"""
if verify:
self.verifySettings()
data = {
'enabled': self.enabled,
'type': self.type
}
if not self.enabled: return data
if self.type == TYPE_PXI:
data = {**data, **(self.pgrid.todict()), **(self.xigrid.todict())}
elif self.type == TYPE_PPARPPERP:
raise DREAMException("No support implemented yet for saving 'ppar/pperp' grids.")
else:
raise DREAMException("Unrecognized momentum grid type specified: {}.".format(self.type))
return data
def setNr(self, nr):
"""
(Cylindrical, Analytic toroidal)
Set the number of radial grid points to use.
"""
if nr <= 0:
raise DREAMException(
"RadialGrid: Invalid value assigned to 'nr': {}".format(nr))
if self.r_f is not None:
print(
"*WARNING* RadialGrid: Prescibing 'Nr' overrides the custom radial grid 'r_f'."
)
self.r_f = None
self.nr = int(nr)
def setBiuniform(self,
xisep=None,
nxisep=None,
nxisep_frac=None,
thetasep=None,
nthetasep=None,
nthetasep_frac=None):
if xisep is not None:
self.type = TYPE_BIUNIFORM
self.xisep = float(xisep)
if nxisep is not None:
self.nxisep = int(nxisep)
self.nxisep_frac = None
elif nxisep_frac is not None:
self.nxisep = None
self.nxisep_frac = nxisep_frac
else:
raise DREAMException(
"XiGrid biuniform {}: nxisep or nxisep_frac must be set.")
elif thetasep is not None:
self.type = TYPE_BIUNIFORM_THETA
self.thetasep = float(thetasep)
if nthetasep is not None:
self.nthetasep = int(nthetasep)
self.nthetasep_frac = None
elif nthetasep_frac is not None:
self.nthetasep = None
self.nthetasep_frac = nthetasep_frac
else:
raise DREAMException(
"XiGrid biuniform theta {}: nthetasep or nthetasep_frac must be set."
)
else:
raise DREAMException(
"XiGrid biuniform {}: thetasep or xisep must be set.")
def setMinorRadius(self, a):
"""
(Cylindrical, Analytic toroidal)
Set the plasma minor radius.
"""
if a <= 0:
raise DREAMException(
"RadialGrid: Invalid value assigned to minor radius 'a': {}".
format(a))
if self.r_f is not None:
print(
"*WARNING* RadialGrid: Prescibing 'Minor radius' a overrides the custom radial grid 'r_f'."
)
self.r_f = None
self.a = float(a)
def visualize(self, *args, ax=None, show=None, **kwargs):
"""
Visualize the current magnetic field.
:param int nr: Number of flux surfaces to show.
:param int ntheta: Number of poloidal angles per flux surface.
"""
# Ensure that settings are valid...
self.verifySettings()
if self.type == TYPE_ANALYTIC_TOROIDAL:
self.visualize_analytic(*args, ax=ax, show=show, **kwargs)
elif self.type == TYPE_NUMERICAL:
self.num_magneticfield.visualize(*args, ax=ax, show=show, **kwargs)
else:
raise DREAMException(
"RadialGrid: Can only visualize the analytic toroidal magnetic field."
)
def setShapeParameter(self, name, data, r=0.0):
"""
(Analytic toroidal)
Set a specific magnetic field shape parameter.
"""
if name not in ['Delta', 'delta', 'GOverR0', 'kappa', 'psi_p0']:
raise DREAMException(
"RadialGrid: Invalid name of shape parameter specified: '{}'.".
format(name))
if type(data) in [float, int]:
data = np.array([float(data)])
elif type(data) == list:
data = np.array(data)
if type(r) in [float, int]:
r = np.array([float(r)])
elif type(r) == list:
r = np.array(r)
setattr(self, name, data)
setattr(self, name + '_r', r)
def todict(self, verify=True):
"""
Returns a Python dictionary containing all settings of
this XiGrid object.
"""
if verify:
self.verifySettings()
data = {
'xigrid': self.type,
'nxi': self.nxi,
}
if self.type == TYPE_BIUNIFORM:
if self.nxisep is not None:
data['nxisep'] = self.nxisep
elif self.nxisep_frac is not None:
#data['nxisep'] = int(round(self.nxi*self.nxisep_frac))
data['nxisep_frac'] = self.nxisep_frac
else:
raise DREAMException(
"XiGrid {}: Neither 'nxisep' nor 'nxisep_frac' have been specified."
.format(self.name))
data['xisep'] = self.xisep
elif self.type == TYPE_BIUNIFORM_THETA:
if self.nthetasep is not None:
data['nxisep'] = self.nthetasep
elif self.nthetasep_frac is not None:
#data['nxisep'] = int(round(self.nxi*self.nthetasep_frac))
data['nxisep_frac'] = self.nthetasep_frac
data['xisep'] = self.thetasep
elif self.type == TYPE_CUSTOM:
data['xi_f'] = self.xi_f
return data
def verifySettings(self):
"""
Verify that all (mandatory) settings are set and consistent.
"""
if self.type == TYPE_UNIFORM or self.type == TYPE_BIUNIFORM or self.type == TYPE_CUSTOM:
if self.np is None or self.np <= 0:
raise DREAMException(
"PGrid {}: Invalid value assigned to 'np': {}. Must be > 0."
.format(self.name, self.np))
elif self.pmax is None or self.pmax <= 0:
raise DREAMException(
"PGrid {}: Invalid value assigned to 'pmax': {}. Must be > 0."
.format(self.name, self.pmax))
else:
raise DREAMException(
"PGrid {}: Unrecognized grid type specified: {}.".format(
self.name, self.type))
if self.type == TYPE_BIUNIFORM:
if self.npsep is not None and (self.npsep <= 0
or self.npsep >= self.np):
raise DREAMException(
"PGrid {}: Invalid value assigned to 'npsep': {}. Must be > 0 and < np."
.format(self.name, self.npsep))
elif self.npsep_frac is not None and (self.npsep_frac <= 0
or self.npsep_frac >= 1):
raise DREAMException(
"PGrid {}: Invalid value assigned to 'npsep_frac': {}. Must be > 0 and < np."
.format(self.name, self.npsep_frac))
elif self.npsep is None and self.npsep_frac is None:
raise DREAMException(
"PGrid {}: Neither 'npsep' nor 'npsep_frac' have been set."
.format(self.name))
elif self.psep is None or self.psep <= 0 or self.psep >= self.pmax:
raise DREAMException(
"PGrid {}: Invalid value assigned to 'psep': {}. Must be > 0 and < pmax."
.format(self.name, self.psep))
def setNxi(self, nxi):
if nxi <= 0:
raise DREAMException("{}: Invalid value assigned to 'nxi': {}. Must be > 0.".format(self.name, nxi))
self.xigrid.setNxi(nxi)
def verifySettings(self):
"""
Verfiy that the RadialGrid settings are consistent.
"""
types = [TYPE_CYLINDRICAL, TYPE_ANALYTIC_TOROIDAL, TYPE_NUMERICAL]
if self.type in types:
if (self.a is None or self.a <= 0) and self.r_f is None:
raise DREAMException(
"RadialGrid: Invalid value assigned to minor radius 'a': {}"
.format(self.a))
elif (self.r0 is None or self.r0 < 0) and self.r_f is None:
raise DREAMException(
"RadialGrid: Invalid value assigned to innermost simulated radius 'r0': {}"
.format(self.r0))
elif self.b is None or self.b < self.a:
raise DREAMException(
"RadialGrid: Invalid value assigned to wall radius 'b' (must be explicitly set to >= 'a' using 'setWallRadius'): "
.format(self.b))
if self.r0 >= self.a and self.r_f is None:
raise DREAMException(
"RadialGrid: 'r0' must be strictly less than 'a'.")
if self.nr <= 0 and self.r_f is None:
raise DREAMException(
"RadialGrid: Invalid value assigned 'nr': {}. Must be > 0."
.format(self.nr))
if not np.isscalar(self.b):
raise DREAMException(
"RadialGrid: The specified wall radius is not a scalar: {}."
.format(self.b))
if self.type == TYPE_CYLINDRICAL:
if self.B0 is None or self.B0 <= 0:
raise DREAMException(
"RadialGrid: Invalid value assigned to 'B0': {}".format(
self.B0))
elif self.type == TYPE_ANALYTIC_TOROIDAL:
if self.R0 is None or self.R0 <= 0:
raise DREAMException(
"RadialGrid: Invalid value assigned to tokamak major radius 'R0': {}"
.format(self.R0))
elif self.ntheta <= 0:
raise DREAMException(
"RadialGrid: Invalid value assigned to 'ntheta': {}. Must be > 0."
.format(self.ntheta))
self.verifySettingsShapeParameter('Delta')
self.verifySettingsShapeParameter('delta')
self.verifySettingsShapeParameter('GOverR0')
self.verifySettingsShapeParameter('kappa')
self.verifySettingsShapeParameter('psi_p0')
if np.size(self.Delta_r) > 1:
if self.Delta_r[0] == 0 and self.Delta[0] != 0:
print(
"*WARNING* RadialGrid: Shape parameter 'Delta' (Shafranov shift) is non-zero at r=0, which is inconsistent (add Delta(0) to the major radius R0 instead)"
)
elif self.Delta != 0:
print(
"*WARNING* RadialGrid: Shape parameter 'Delta' (Shafranov shift) is assigned a constant non-zero value. It is recommended to add its value to the major radius R0 instead"
)
if np.size(self.delta_r) > 1:
if self.delta_r[0] == 0 and self.delta[0] != 0:
print(
"*WARNING* RadialGrid: Shape parameter 'delta' (triangularity) is non-zero at r=0, which is inconsistent with Grad-Shafranov"
)
elif self.type == TYPE_NUMERICAL:
if type(self.num_filename) != str:
raise DREAMException(
"RadialGrid: No numerical magnetic field file specified.")
elif not pathlib.Path(self.num_filename).is_file():
raise DREAMException(
"RadialGrid: The specified numerical magnetic field file does not exist."
)
elif self.ntheta <= 0:
raise DREAMException(
"RadialGrid: Invalid value assigned to 'ntheta': {}. Must be > 0."
.format(self.ntheta))
formats = [FILE_FORMAT_LUKE]
if (self.num_fileformat is not None) and (self.num_fileformat
not in formats):
raise DREAMException(
"RadialGrid: Unrecognized file format specified for numerical magnetic field: {}."
.format(self.num_fileformat))
else:
raise DREAMException(
"RadialGrid: Unrecognized grid type specified: {}.".format(
self.type))
# Ripple settings
if self.ripple_ncoils > 0 or self.ripple_deltacoils > 0:
if type(self.ripple_m) != np.ndarray or self.ripple_m.ndim != 1:
raise EquationException(
"RadialGrid: Invalid type or shape of 'ripple_m'.")
elif type(self.ripple_n) != np.ndarray or self.ripple_n.ndim != 1:
raise EquationException(
"RadialGrid: Invalid type or shape of 'ripple_n'.")
elif self.ripple_m.size != self.ripple_n.size:
raise EquationException(
"RadialGrid: 'ripple_m' and 'ripple_n' must have the same number of elements."
)
elif type(self.ripple_r) != np.ndarray or self.ripple_r.ndim != 1:
raise EquationException(
"RadialGrid: Invalid type or shape of 'ripple_r'.")
elif type(self.ripple_t) != np.ndarray or self.ripple_t.ndim != 1:
raise EquationException(
"RadialGrid: Invalid type or shape of 'ripple_t'.")
elif type(self.ripple_dB_B
) != np.ndarray or self.ripple_dB_B.shape != (
self.ripple_m.size, self.ripple_t.size,
self.ripple_r.size):
raise EquationException(
"RadialGrid: Invalid type or shape of 'ripple_dB_B'.".
format(self.ripple_dB_B))
