def _create_modelObject(self):
"""
Create the simulation model obejct from the list
of shapes.
This method needs to be called each time a parameter
changes because of the way the underlying library
was (badly) written. It is impossible to change a
parameter, or remove a shape without having to
refill the space points.
TODO: improve that.
"""
# To find a complete example of the correct call order:
# In LORES2, in actionclass.py, method CalculateAction._get_iq()
# If there are not shapes, do nothing
if len(self.shapes) == 0:
self._model_changed()
return 0
# generate space filling points from shape list
self._createVolumeFromList()
self.points = pointsmodelpy.new_point3dvec()
pointsmodelpy.complexmodel_add(self.complex_model,
self.lores_model, "LORES")
for shape in self.shapes:
if not self.shapes[shape].params['is_lores']:
pointsmodelpy.complexmodel_add(self.complex_model,
self.shapes[shape].shapeObject, "PDB")
#pointsmodelpy.get_lorespoints(self.lores_model, self.points)
self.npts = pointsmodelpy.get_complexpoints(self.complex_model, self.points)
def _create_modelObject(self):
"""
Create the simulation model obejct from the list
of shapes.
This method needs to be called each time a parameter
changes because of the way the underlying library
was (badly) written. It is impossible to change a
parameter, or remove a shape without having to
refill the space points.
TODO: improve that.
"""
# To find a complete example of the correct call order:
# In LORES2, in actionclass.py, method CalculateAction._get_iq()
# If there are not shapes, do nothing
if len(self.shapes) == 0:
self._model_changed()
return 0
# generate space filling points from shape list
self._createVolumeFromList()
self.points = pointsmodelpy.new_point3dvec()
pointsmodelpy.complexmodel_add(self.complex_model,
self.lores_model, "LORES")
for shape in self.shapes:
if self.shapes[shape].params['is_lores'] == False:
pointsmodelpy.complexmodel_add(self.complex_model,
self.shapes[shape].shapeObject, "PDB")
#pointsmodelpy.get_lorespoints(self.lores_model, self.points)
self.npts = pointsmodelpy.get_complexpoints(self.complex_model, self.points)
def getPr(self):
"""
Calculate P(r) from the objects on the canvas.
This method should always be called after the shapes
on the VolumeCanvas have changed.
@return: calculation output flag
"""
# To find a complete example of the correct call order:
# In LORES2, in actionclass.py, method CalculateAction._get_iq()
# If there are not shapes, do nothing
if len(self.shapes) == 0:
self._model_changed()
return 0
# generate space filling points from shape list
self._createVolumeFromList()
self.points = pointsmodelpy.new_point3dvec()
pointsmodelpy.complexmodel_add(self.complex_model, self.lores_model,
"LORES")
for shape in self.shapes:
if not self.shapes[shape].params['is_lores']:
pointsmodelpy.complexmodel_add(self.complex_model,
self.shapes[shape].shapeObject,
"PDB")
#pointsmodelpy.get_lorespoints(self.lores_model, self.points)
self.npts = pointsmodelpy.get_complexpoints(self.complex_model,
self.points)
# expecting the rmax is a positive float or 0. The maximum distance.
#rmax = pointsmodelpy.get_lores_pr(self.lores_model, self.points)
rmax = pointsmodelpy.get_complex_pr(self.complex_model, self.points)
self.hasPr = True
return rmax
def getPr(self):
"""
Calculate P(r) from the objects on the canvas.
This method should always be called after the shapes
on the VolumeCanvas have changed.
@return: calculation output flag
"""
# To find a complete example of the correct call order:
# In LORES2, in actionclass.py, method CalculateAction._get_iq()
# If there are not shapes, do nothing
if len(self.shapes) == 0:
self._model_changed()
return 0
# generate space filling points from shape list
self._createVolumeFromList()
self.points = pointsmodelpy.new_point3dvec()
pointsmodelpy.complexmodel_add(self.complex_model,
self.lores_model, "LORES")
for shape in self.shapes:
if not self.shapes[shape].params['is_lores']:
pointsmodelpy.complexmodel_add(self.complex_model,
self.shapes[shape].shapeObject, "PDB")
#pointsmodelpy.get_lorespoints(self.lores_model, self.points)
self.npts = pointsmodelpy.get_complexpoints(self.complex_model, self.points)
# expecting the rmax is a positive float or 0. The maximum distance.
#rmax = pointsmodelpy.get_lores_pr(self.lores_model, self.points)
rmax = pointsmodelpy.get_complex_pr(self.complex_model, self.points)
self.hasPr = True
return rmax