def swapBias(self, event):
self.biasmode='conditioned'
bd=self._getBiasData(True)
g=self.alg.elements[0]
d=g.getElements('Data', depth=1)[0]
#print bd.data.shape, bd.attributes
#print d.data.shape, d.attributes
d.mirror(bd, False)
#print d.data.shape, d.attributes
editBlock(self.alg.elements[2], self, args={'width':0, 'hexagonal':False, 'maptorange':(), 'invert':False, 'power':0, 'minBelow':0, 'maxAbove':0.0})
self.biasmode='raw'
bd=self._getBiasData(True)
base=bd.getSubData('/base')
if base:
base.sever()
self.drawBias()
def setBias(self, event):
if not self.alg:
self.setModel()
g=self.alg.elements[0]
d = self.load(returndoc=True)
d=d.getElements('Data', depth=1)[0]
if d.stype()=='image':
self.report('converting image to 2D bias')
dat = d.getData()
dat = dat.mean(3)
dat = dat.mean(2)
h = d.header()
h['SampleType']='sfield'
d.datinit(dat, h)
de=g.getElements('Data')
if de:
de[0].mirror(d, True)
else:
g.newElement(d)
dp=g.getElements('Data')[0].upath()
editBlock(g, self, args={'upath':dp, 'dpath':'/', 'recurse':False})
self.biasmode='raw'
self.drawBias()
def confBias(self, event): editBlock(self.alg.elements[2], self) self.condBias(None)
def config(self, event):
editBlock(self.alg.elements[3], self)
self.report('edit finished')
