def array_to_vells (x,vellshape=None,expanded_slice=None):
if expanded_slice is not None:
a = meq.complex_vells(vellshape);
a[...] = x[expanded_slice];
else:
a = meq.complex_vells(x.shape);
a[...] = x;
return a;
def array_to_vells (x,vellshape=None,expanded_slice=None):
if expanded_slice is not None:
a = meq.complex_vells(vellshape);
a[...] = x[expanded_slice];
else:
a = meq.complex_vells(x.shape);
a[...] = x;
return a;
def interpolate_per_source (self,lm_list,dl,dm,grid,vbs,thetaphi=False,rotate=None,masklist=None):
# Loops over all source coordinates in the lm tensor, interpolates beams for them, and returns the resulting vellsets.
# lm is a list of [[l0,m0],[l1,m1],...] source coordinates
# This is the "fail-safe" method, as it interpolates per-source, and therefore allows for the source lm arrays to have different
# time/frequency dependencies per source.
vellsets = [];
for isrc,(l,m) in enumerate(lm_list):
# apply pointing offsets, if any
if dl is not None:
# unite shapes just in case, since l/m and dl/dm may have time/freq axes
l,dl,m,dm = unite_multiple_shapes(l,dl,m,dm);
# if mask is set, make sure it has the same shape
mask = masklist[isrc] if masklist is not None else None;
if mask is not None:
l,m,mask = unite_multiple_shapes(l,m,mask);
grid['l'],grid['m'] = l,m;
# loop over all 2x2 matrices (we may have several, they all need to be added)
E = [None]*4;
for vbmat in vbs:
for i,vb in enumerate(vbmat):
beam = vb.interpolate(freqaxis=self._freqaxis,lm=self.interpol_lm,thetaphi=thetaphi,rotate=rotate,mask=mask,**grid);
if E[i] is None:
E[i] = meq.complex_vells(beam.shape);
E[i][...] += beam[...];
# make vellsets
for ej in E:
vellsets.append(meq.vellset(ej));
return vellsets;
def expand_subshape(self, x, datashape=None, data_subset=None):
"""expands subshape to original data shape"""
if numpy.isscalar(x):
return x
a = numpy.empty(self.tiled_shape, dtype=x.dtype)
a[...] = self.tile_subshape(x)
if x.dtype == bool:
b = numpy.zeros(datashape or self.datashape, bool)
else:
b = meq.complex_vells(datashape or self.datashape)
b[...] = self.untile_data(a)
return b[data_subset or ()]
def expand_subshape (self,x,datashape=None,data_subset=None):
"""expands subshape to original data shape"""
if numpy.isscalar(x):
return x;
a = numpy.empty(self.tiled_shape,dtype=x.dtype);
a[...] = self.tile_subshape(x);
if x.dtype == bool:
b = numpy.zeros(datashape or self.datashape,bool);
else:
b = meq.complex_vells(datashape or self.datashape);
b[...] = self.untile_data(a);
return b[data_subset or ()];
def interpolate_per_source(self,
lm_list,
dl,
dm,
grid,
vbs,
thetaphi=False,
rotate=None,
masklist=None):
# Loops over all source coordinates in the lm tensor, interpolates beams for them, and returns the resulting vellsets.
# lm is a list of [[l0,m0],[l1,m1],...] source coordinates
# This is the "fail-safe" method, as it interpolates per-source, and therefore allows for the source lm arrays to have different
# time/frequency dependencies per source.
vellsets = []
for isrc, (l, m) in enumerate(lm_list):
# apply pointing offsets, if any
if dl is not None:
# unite shapes just in case, since l/m and dl/dm may have time/freq axes
l, dl, m, dm = unite_multiple_shapes(l, dl, m, dm)
# if mask is set, make sure it has the same shape
mask = masklist[isrc] if masklist is not None else None
if mask is not None:
l, m, mask = unite_multiple_shapes(l, m, mask)
grid['l'], grid['m'] = l, m
# loop over all 2x2 matrices (we may have several, they all need to be added)
E = [None] * 4
for vbmat in vbs:
for i, vb in enumerate(vbmat):
beam = vb.interpolate(freqaxis=self._freqaxis,
lm=self.interpol_lm,
thetaphi=thetaphi,
rotate=rotate,
mask=mask,
**grid)
if E[i] is None:
E[i] = meq.complex_vells(beam.shape)
E[i][...] += beam[...]
# make vellsets
for ej in E:
vellsets.append(meq.vellset(ej))
return vellsets
def get_result(self, request, *children):
# get list of VoltageBeams
vbs, beam_max = self.init_voltage_beams()
# now, figure out the lm and time/freq grid
lm = children[0]
l = lm.vellsets[0].value
m = lm.vellsets[1].value
# setup grid dict that will be passed to VoltageBeam.interpolate
grid = dict(l=l, m=m)
for axis in 'time', 'freq':
values = _cells_grid(lm, axis)
if values is None:
values = _cells_grid(request, axis)
if values is not None:
grid[axis] = values
# interpolate
vellsets = []
for vb in vbs:
if vb is None:
vellsets.append(meq.vellset(meq.sca_vells(0.)))
else:
beam = vb.interpolate(freqaxis=self._freqaxis, **grid)
if self.normalize and beam_max != 0:
beam /= beam_max
vells = meq.complex_vells(beam.shape)
vells[...] = beam[...]
# make vells and return result
vellsets.append(meq.vellset(vells))
# create result object
cells = request.cells if vb.hasFrequencyAxis() else getattr(
lm, 'cells', None)
result = meq.result(vellsets[0], cells=cells)
# if more than one vellset, then we have 2x2
if len(vellsets) > 1:
result.vellsets[1:] = vellsets[1:]
result.dims = (2, 2)
return result
def get_result (self,request,*children):
# get list of VoltageBeams
vbs,beam_max = self.init_voltage_beams();
# now, figure out the lm and time/freq grid
lm = children[0];
l = lm.vellsets[0].value;
m = lm.vellsets[1].value;
# setup grid dict that will be passed to VoltageBeam.interpolate
grid = dict(l=l,m=m);
for axis in 'time','freq':
values = _cells_grid(lm,axis);
if values is None:
values = _cells_grid(request,axis);
if values is not None:
grid[axis] = values;
# interpolate
vellsets = [];
hasfreq = False;
for vb in vbs:
if vb is None:
vellsets.append(meq.vellset(meq.sca_vells(0.)));
else:
beam = vb.interpolate(freqaxis=self._freqaxis,**grid);
hasfreq = hasfreq or vb.hasFrequencyAxis();
if self.normalize and beam_max != 0:
beam /= beam_max;
vells = meq.complex_vells(beam.shape);
vells[...] = beam[...];
# make vells and return result
vellsets.append(meq.vellset(vells));
# create result object
cells = request.cells if hasfreq else getattr(lm,'cells',None);
result = meq.result(vellsets[0],cells=cells);
result.vellsets[1:] = vellsets[1:];
result.dims = (2,len(vellsets)/2);
return result;
def _expand_trivial_subshape(self, x, datashape=None, data_subset=None):
a = meq.complex_vells(x.shape)
a[...] = x
return a[data_subset]
def get_result(self, request, *children):
# get list of VoltageBeams
vbs, beam_max = self.init_voltage_beams()
# now, figure out the lm and time/freq grid
# lm may be a 2/3-vector or an Nx2/3 tensor
lm = children[0]
dims = getattr(lm, 'dims', [len(lm.vellsets)])
if len(dims) == 2 and dims[1] in (2, 3):
nsrc, nlm = dims
tensor = True
elif len(dims) == 1 and dims[0] in (2, 3):
nsrc, nlm = 1, dims[0]
tensor = False
else:
print "child 0: %d vellsets, shape %s" % (len(
lm.vellsets), getattr(lm, 'dims', []))
raise TypeError, "expecting a 2/3-vector or an Nx2/3 matrix for child 0 (lm)"
# pointing offsets (child 1) are optional
if len(children) > 1:
dlm = children[1]
if len(dlm.vellsets) != 2:
raise TypeError, "expecting a 2-vector for child 1 (dlm)"
dl, dm = dlm.vellsets[0].value, dlm.vellsets[1].value
else:
dl = dm = 0
# setup grid dict that will be passed to VoltageBeam.interpolate
grid = dict()
for axis in 'time', 'freq':
values = _cells_grid(lm, axis)
if values is None:
values = _cells_grid(request, axis)
if values is not None:
grid[axis] = values
vellsets = []
# now loop over sources and interpolte
for isrc in range(nsrc):
# put l,m into grid
l, m = lm.vellsets[isrc * nlm].value, lm.vellsets[isrc * nlm +
1].value
l, dl = unite_shapes(l, dl)
m, dm = unite_shapes(m, dm)
grid['l'] = l - dl
grid['m'] = m - dm
# interpolate
for vb in vbs:
if vb is None:
vellsets.append(meq.vellset(meq.sca_vells(0.)))
else:
beam = vb.interpolate(freqaxis=self._freqaxis, **grid)
if self.normalize and beam_max != 0:
beam /= beam_max
vells = meq.complex_vells(beam.shape)
vells[...] = beam[...]
# make vells and return result
vellsets.append(meq.vellset(vells))
# create result object
cells = request.cells if vb.hasFrequencyAxis() else getattr(
lm, 'cells', None)
result = meq.result(vellsets[0], cells=cells)
if len(vellsets) > 1:
result.vellsets[1:] = vellsets[1:]
# vbs is either length 4 or length 1. If length 4, then result needs to have its dimensions
if len(vbs) > 1:
result.dims = (nsrc, 2, 2) if tensor else (2, 2)
return result
def _expand_trivial_subshape (self,x,datashape=None,data_subset=None):
a = meq.complex_vells(x.shape);
a[...] = x;
return a[data_subset];
def interpolate_batch(self,
lm_list,
dl,
dm,
grid,
vbs,
thetaphi=False,
rotate=None,
masklist=None):
# A faster version of interpolate_per_source(), which assumes that all lm's (as well as the masks, if given)
# have the same shape, and stacks them into a single array for a single interpolation call.
# If there's a shape mismatch, it'll fall back to interpolate_per_source
# 'maskarr', if given, should be an list of per-source mask arrays
nsrc = len(lm_list)
maskcube = None
for isrc, (l, m) in enumerate(lm_list):
mask = masklist[isrc] if masklist is not None else None
# apply pointing offsets, if any
if dl is not None:
# unite shapes just in case, since l/m and dl/dm may have time/freq axes
l, dl, m, dm = unite_multiple_shapes(l, dl, m, dm)
l, m = l - dl, m - dm
# unite l,m shapes just in case, and transform
l, m, mask = unite_multiple_shapes(l, m, mask)
if not isrc:
lm_shape = l.shape
cubeshape = [nsrc] + list(lm_shape)
lcube = numpy.zeros(cubeshape, float)
mcube = numpy.zeros(cubeshape, float)
if masklist is not None:
maskcube = numpy.zeros(cubeshape, bool)
else:
if l.shape != lm_shape:
dprint(
1,
"l/m shapes unequal at source %d, falling back to per-source interpolation"
% isrc)
return self.interpolate_per_source(lm_list,
dl,
dm,
grid,
vbs,
thetaphi=thetaphi,
rotate=rotate,
masklist=masklist)
lcube[isrc, ...] = l
mcube[isrc, ...] = m
if mask is not None:
maskcube[isrc, ...] = mask
# if mask.any():
# dprint(2,"source %d has %d slots masked"%(isrc,mask.sum()));
# if 'rotate' is specified, it needs to be promoted to the same cube shape, and ravelled
if rotate is not None:
lcube, mcube, maskcube, rotate = unite_multiple_shapes(
lcube, mcube, maskcube,
rotate.reshape([1] + list(rotate.shape)))
cubeshape = list(lcube.shape)
rotate = rotate.ravel()
# ok, we've stacked things into lm cubes, interpolate
grid['l'], grid['m'] = lcube.ravel(), mcube.ravel()
# loop over all 2x2 matrices (we may have several, they all need to be added)
E = [None] * 4
for vbmat in vbs:
for i, vb in enumerate(vbmat):
beam = vb.interpolate(freqaxis=self._freqaxis,
extra_axes=1,
thetaphi=thetaphi,
rotate=rotate,
**grid)
if E[i] is None:
E[i] = beam
else:
E[i] += beam
# The l/m cubes have a shape of [nsrcs,lm_shape].
# These are raveled for interpolation, so the resulting Es have a shape of [nsrcs*num_lm_points,num_freq]
# Reshape them properly. Note that there's an extra "source" axis at the front, so the frequency axis
# is off by 1.
if len(cubeshape) <= self._freqaxis + 1:
cubeshape = list(cubeshape) + [1] * (self._freqaxis -
len(cubeshape) + 2)
cubeshape[self._freqaxis + 1] = len(grid['freq'])
E = [ej.reshape(cubeshape) for ej in E]
# apply mask cube, if we had one
if maskcube is not None:
# the E planes now have the same shape as the maskcube, but with an extra frequency axis. Promote the maskcube
# accordingly
me = unite_multiple_shapes(maskcube, *E)
maskcube = me[0]
E = me[1:]
dprint(2, "maskcube sum", maskcube.sum())
for ej in E:
ej[maskcube] = 0
# now tease the E's apart plane by plane
# make vellsets
vellsets = []
for isrc in range(nsrc):
for ej in E:
dprint(
2, "source %d has %d null gains" %
(isrc, (ej[isrc, ...] == 0).sum()))
ejplane = ej[isrc, ...]
value = meq.complex_vells(ejplane.shape, ejplane)
vellsets.append(meq.vellset(value))
return vellsets
def get_result (self,request,*children):
# get list of VoltageBeams
vbs,beam_max = self.init_voltage_beams();
# now, figure out the lm and time/freq grid
# lm may be a 2/3-vector or an Nx2/3 tensor
lm = children[0];
dims = getattr(lm,'dims',[len(lm.vellsets)]);
if len(dims) == 2 and dims[1] in (2,3):
nsrc,nlm = dims;
tensor = True;
elif len(dims) == 1 and dims[0] in (2,3):
nsrc,nlm = 1,dims[0];
tensor = False;
else:
print "child 0: %d vellsets, shape %s"%(len(lm.vellsets),getattr(lm,'dims',[]));
raise TypeError,"expecting a 2/3-vector or an Nx2/3 matrix for child 0 (lm)";
# pointing offsets (child 1) are optional
if len(children) > 1:
dlm = children[1];
if len(dlm.vellsets) != 2:
raise TypeError,"expecting a 2-vector for child 1 (dlm)";
dl,dm = dlm.vellsets[0].value,dlm.vellsets[1].value;
else:
dl = dm = 0;
# setup grid dict that will be passed to VoltageBeam.interpolate
grid = dict();
for axis in 'time','freq':
values = _cells_grid(lm,axis);
if values is None:
values = _cells_grid(request,axis);
if values is not None:
grid[axis] = values;
vellsets = [];
# now loop over sources and interpolte
for isrc in range(nsrc):
# put l,m into grid
l,m = lm.vellsets[isrc*nlm].value,lm.vellsets[isrc*nlm+1].value;
l,dl = unite_shapes(l,dl);
m,dm = unite_shapes(m,dm);
grid['l'] = l - dl;
grid['m'] = m - dm;
# interpolate
for vb in vbs:
if vb is None:
vellsets.append(meq.vellset(meq.sca_vells(0.)));
else:
beam = vb.interpolate(freqaxis=self._freqaxis,**grid);
if self.normalize and beam_max != 0:
beam /= beam_max;
vells = meq.complex_vells(beam.shape);
vells[...] = beam[...];
# make vells and return result
vellsets.append(meq.vellset(vells));
# create result object
cells = request.cells if vb.hasFrequencyAxis() else getattr(lm,'cells',None);
result = meq.result(vellsets[0],cells=cells);
if len(vellsets) > 1:
result.vellsets[1:] = vellsets[1:];
# vbs is either length 4 or length 1. If length 4, then result needs to have its dimensions
if len(vbs) > 1:
result.dims = (nsrc,2,2) if tensor else (2,2);
return result;
def interpolate_batch (self,lm_list,dl,dm,grid,vbs,thetaphi=False,rotate=None,masklist=None):
# A faster version of interpolate_per_source(), which assumes that all lm's (as well as the masks, if given)
# have the same shape, and stacks them into a single array for a single interpolation call.
# If there's a shape mismatch, it'll fall back to interpolate_per_source
# 'maskarr', if given, should be an list of per-source mask arrays
nsrc = len(lm_list);
maskcube = None;
for isrc,(l,m) in enumerate(lm_list):
mask = masklist[isrc] if masklist is not None else None;
# apply pointing offsets, if any
if dl is not None:
# unite shapes just in case, since l/m and dl/dm may have time/freq axes
l,dl,m,dm = unite_multiple_shapes(l,dl,m,dm);
l,m = l-dl,m-dm;
# unite l,m shapes just in case, and transform
l,m,mask = unite_multiple_shapes(l,m,mask);
if not isrc:
lm_shape = l.shape;
cubeshape = [nsrc]+list(lm_shape);
lcube = numpy.zeros(cubeshape,float);
mcube = numpy.zeros(cubeshape,float);
if masklist is not None:
maskcube = numpy.zeros(cubeshape,bool);
else:
if l.shape != lm_shape:
dprint(1,"l/m shapes unequal at source %d, falling back to per-source interpolation"%isrc);
return self.interpolate_per_source(lm_list,dl,dm,grid,vbs,thetaphi=thetaphi,rotate=rotate,masklist=masklist);
lcube[isrc,...] = l;
mcube[isrc,...] = m;
if mask is not None:
maskcube[isrc,...] = mask;
# if mask.any():
# dprint(2,"source %d has %d slots masked"%(isrc,mask.sum()));
# if 'rotate' is specified, it needs to be promoted to the same cube shape, and ravelled
if rotate is not None:
lcube,mcube,maskcube,rotate = unite_multiple_shapes(lcube,mcube,maskcube,rotate.reshape([1]+list(rotate.shape)));
cubeshape = list(lcube.shape);
rotate = rotate.ravel();
# ok, we've stacked things into lm cubes, interpolate
grid['l'],grid['m'] = lcube.ravel(),mcube.ravel();
# loop over all 2x2 matrices (we may have several, they all need to be added)
E = [None]*4;
for vbmat in vbs:
for i,vb in enumerate(vbmat):
beam = vb.interpolate(freqaxis=self._freqaxis,extra_axes=1,thetaphi=thetaphi,rotate=rotate,**grid);
if E[i] is None:
E[i] = beam;
else:
E[i] += beam;
# The l/m cubes have a shape of [nsrcs,lm_shape].
# These are raveled for interpolation, so the resulting Es have a shape of [nsrcs*num_lm_points,num_freq]
# Reshape them properly. Note that there's an extra "source" axis at the front, so the frequency axis
# is off by 1.
if len(cubeshape) <= self._freqaxis+1:
cubeshape = list(cubeshape) + [1]*(self._freqaxis - len(cubeshape) + 2);
cubeshape[self._freqaxis+1] = len(grid['freq']);
E = [ ej.reshape(cubeshape) for ej in E ];
# apply mask cube, if we had one
if maskcube is not None:
# the E planes now have the same shape as the maskcube, but with an extra frequency axis. Promote the maskcube
# accordingly
me = unite_multiple_shapes(maskcube,*E);
maskcube = me[0];
E = me[1:];
dprint(2,"maskcube sum",maskcube.sum());
for ej in E:
ej[maskcube] = 0;
# now tease the E's apart plane by plane
# make vellsets
vellsets = [];
for isrc in range(nsrc):
for ej in E:
dprint(2,"source %d has %d null gains"%(isrc,(ej[isrc,...]==0).sum()));
ejplane = ej[isrc,...];
value = meq.complex_vells(ejplane.shape,ejplane);
vellsets.append(meq.vellset(value));
return vellsets;
