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import numpy as np
from . import WarpX
from . import _libwarpx
class PGroup(object):
"""Implements a class that has the same API as a warp ParticleGroup instance.
"""
def __init__(self, igroup, ispecie):
self.igroup = igroup
self.ispecie = ispecie
self.ns = 1 # Number of species
self.gallot()
def name(self):
return 'WarpXParticleGroup'
def gallot(self):
self.lebcancel_pusher = 0 # turns on/off cancellation of E+VxB within V push (logical type)
self.lebcancel = 0 # turns on/off cancellation of E+VxB before V push (logical type)
self.sm = np.zeros(self.ns) # Species mass [kg]
self.sq = np.zeros(self.ns) # Species charge [C]
self.sw = np.zeros(self.ns) # Species weight, (real particles per simulation particles)
self.sid = np.arange(self.ns, dtype=int) # Global species index for each species
self.ndts = np.ones(self.ns, dtype=int) # Stride for time step advance for each species
self.ldts = np.ones(self.ns, dtype=int) # (logical type)
self.lvdts = np.ones(self.ns, dtype=int) # (logical type)
self.iselfb = np.zeros(self.ns, dtype=int) # Group number for particles that are affected by
# their own magnetic field, using the 1/gamma**2
# approximation. The correction is not applied to
# group number -1.
self.fselfb = np.zeros(self.ns) # The scaling factor, vz.
self.l_maps = np.zeros(self.ns)
self.dtscale = np.ones(self.ns) # Scale factor applied to time step size for each
# species. Only makes sense in steaday and and
# transverse slice modes.
self.limplicit = np.zeros(self.ns, dtype=int) # Flags implicit particle species (logical type)
self.iimplicit = np.full(self.ns, -1, dtype=int) # Group number for implicit particles
self.ldoadvance = np.ones(self.ns, dtype=int) # Flags whether particles are time advanced (logical type)
self.lboundaries = np.ones(self.ns, dtype=int) # Flags whether boundary conditions need to be applied (logical type)
self.lparaxial = np.zeros(self.ns, dtype=int) # Flags to turn on/off paraxial approximation (logical type)
self.zshift = np.zeros(self.ns)
self.gamma_ebcancel_max = np.ones(self.ns) # maximum value allowed for ExB cancellation
# --- Temporary fix
gchange = gallot
def allocated(self, name):
return True
def addspecies(self):
pass
def getnpid(self):
return _libwarpx.get_nattr()
npid = property(getnpid)
def getnps(self):
return np.array([len(self.xp)], dtype='l')
nps = property(getnps)
def getins(self):
return np.ones(self.ns, dtype='l')
ins = property(getins)
def getipmax(self):
return np.array([0, len(self.xp)], dtype='l')
ipmax = property(getipmax)
def getnpmax(self):
return self.nps.sum()
npmax = property(getnpmax)
def getxp(self):
return _libwarpx.get_particle_x(self.ispecie)[self.igroup]
xp = property(getxp)
def getyp(self):
return _libwarpx.get_particle_y(self.ispecie)[self.igroup]
yp = property(getyp)
def getzp(self):
return _libwarpx.get_particle_z(self.ispecie)[self.igroup]
zp = property(getzp)
def getuxp(self):
return _libwarpx.get_particle_ux(self.ispecie)[self.igroup]
uxp = property(getuxp)
def getuyp(self):
return _libwarpx.get_particle_uy(self.ispecie)[self.igroup]
uyp = property(getuyp)
def getuzp(self):
return _libwarpx.get_particle_uz(self.ispecie)[self.igroup]
uzp = property(getuzp)
def getpid(self):
id = _libwarpx.get_particle_id(self.ispecie)[self.igroup]
pid = np.array([id]).T
return pid
pid = property(getpid)
def getgaminv(self):
uxp = self.getuxp()
uyp = self.getuyp()
uzp = self.getuzp()
return np.sqrt(1. - (uxp**2 + uyp**2 + uzp**2)/_libwarpx.clight**2)
gaminv = property(getgaminv)
def getex(self):
return _libwarpx.get_particle_Ex(self.ispecie)[self.igroup]
ex = property(getex)
def getey(self):
return _libwarpx.get_particle_Ey(self.ispecie)[self.igroup]
ey = property(getey)
def getez(self):
return _libwarpx.get_particle_Ez(self.ispecie)[self.igroup]
ez = property(getez)
def getbx(self):
return _libwarpx.get_particle_Bx(self.ispecie)[self.igroup]
bx = property(getbx)
def getby(self):
return _libwarpx.get_particle_By(self.ispecie)[self.igroup]
by = property(getby)
def getbz(self):
return _libwarpx.get_particle_Bz(self.ispecie)[self.igroup]
bz = property(getbz)
class PGroups(object):
def __init__(self, ispecie=0):
self.ispecie = ispecie
def setuppgroups(self):
xall = _libwarpx.get_particle_x(self.ispecie)
self.ngroups = len(xall)
self._pgroups = []
for igroup in range(self.ngroups):
self._pgroups.append(PGroup(igroup, self.ispecie))
def __iter__(self):
self.setuppgroups()
for igroup in range(self.ngroups):
yield self._pgroups[igroup]
def __getitem__(self, key):
self.setuppgroups()
return self._pgroups[key]
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