class Axes(AxesLikeModuleFactory):
""" Creates axes for the current (or given) object."""
xlabel = String(None,
adapts='axes.x_label',
help='the label of the x axis')
ylabel = String(None,
adapts='axes.y_label',
help='the label of the y axis')
zlabel = String(None,
adapts='axes.z_label',
help='the label of the z axis')
nb_labels = Range(0,
50,
2,
adapts='axes.number_of_labels',
desc='The number of labels along each direction')
ranges = Trait(
None,
None,
CArray(shape=(6, )),
help="""[xmin, xmax, ymin, ymax, zmin, zmax]
Ranges of the labels displayed on the axes.
Default is the object's extents.""",
)
x_axis_visibility = true(
adapts='axes.x_axis_visibility',
help="Whether or not the x axis is visible (boolean)")
y_axis_visibility = true(
adapts='axes.y_axis_visibility',
help="Whether or not the y axis is visible (boolean)")
z_axis_visibility = true(
adapts='axes.z_axis_visibility',
help="Whether or not the z axis is visible (boolean)")
_target = Instance(modules.Axes, ())
def _extent_changed(self):
""" Code to modify the extents for
"""
axes = self._target
axes.axes.use_data_bounds = False
axes.axes.bounds = self.extent
if self.ranges is None:
axes.axes.ranges = \
axes.module_manager.source.outputs[0].bounds
def _ranges_changed(self):
if self.ranges is not None:
self._target.axes.ranges = self.ranges
self._target.axes.use_ranges = True
class Base(HasTraits):
name = String("default_name")
def get_children_name(self, children):
for attr in self.__dict__:
if self.__dict__[attr] is children:
return attr
class ArraySet(Simple):
floatingType = String("arraySet")
data = Array()
ds = Instance(DS)
def _ds_default(self):
return DS()
class TraitedSource(HasTraits):
SourceName = String(sourcename,
desc='source name',
label='name of %s [String]' % classtype.__name__)
for parameter in classtype.outputlist:
if hasattr(classorinstance, parameter[0]):
defval = getattr(classorinstance, parameter[0])
else:
try:
defval = defaultvalues[parameter[1]]
except:
defval = parameter[2]
if hasattr(classorinstance, parameter[0] + '_Unit'):
unitval = getattr(classorinstance, parameter[0] + '_Unit')
else:
unitval = parameter[1]
# set the input label
parlabel = '%s [%s]' % (parameter[0], unitval)
# create the traits object
exec('%s = Float(defval,desc=parameter[3],label=parlabel)' %
parameter[0])
class OrientationAxesFactory(SingletonModuleFactory):
"""Applies the OrientationAxes mayavi module to the given VTK data object.
"""
xlabel = String(None,
adapts='axes.x_axis_label_text',
help='the label of the x axis')
ylabel = String(None,
adapts='axes.y_axis_label_text',
help='the label of the y axis')
zlabel = String(None,
adapts='axes.z_axis_label_text',
help='the label of the z axis')
_target = Instance(modules.OrientationAxes, ())
class UnstructuredMesh(Mesh):
type = String("unstructured")
nodes = Array(dtype=numpy.float32)
elementTypes = Array(dtype=numpy.int8)
elementNodes = Array(dtype=numpy.int32)
selectorOnMesh = Instance(USelectorOnMesh)
def _selectorOnMesh_default(self):
return USelectorOnMesh()
class StructuredMesh(Mesh):
type = String("structured")
cartesianGrid = Instance(CartesianGrid())
selectorOnMesh = Instance(SSelectorOnMesh)
def _cartesianGrid_default(self):
return CartesianGrid()
def _selectorOnMesh_default(self):
return SSelectorOnMesh()
class SSelectorOnMeshElement(Base):
shortName = String(ELEMENT_LENGTH)
imin = Int()
jmin = Int()
kmin = Int()
imax = Int()
jmax = Int()
kmax = Int()
v1 = Float(-1.0)
v2 = Float(-1.0)
v3 = Float(-1.0)
class Parameter(HasTraits):
name = String('name')
value = Float
def __str__(self): return '{%s:%f}' %(self.name,self.value)
def __repr__(self): return '{%s:%f}' %(self.name,self.value)
editor = TableEditor(
auto_size=False,
columns=[ObjectColumn(name='name', label='Name', editable=False),
ObjectColumn(name='value', label='Value',
editor=TextEditor(evaluate=float, enter_set=True, auto_set=False)),
])
class TrimCaseConfig(RunOptionsConfig):
trimcase = Instance(TrimCase, TrimCase())
#runcase = DelegatesTo('trimcase')
varying_param = String('velocity')
varying_expr = Expression('100')
param_name_list = Property(List(String), depends_on='trimcase.parameters')
@cached_property
def _get_param_name_list(self):
return sorted(self.trimcase.parameters.keys(), key=lambda x: x.lower())
@on_trait_change('trimcase.parameter_view.value,trimcase.type')
def on_trimcase_changed(self, object, name, old, new):
print 'trimcase_changed'
if name == 'value':
self.trimcase.runcase.update_trim_case(self.trimcase, object)
self.trimcase.update_parameters_from_avl()
elif name == 'type':
self.trimcase.update_parameters_from_avl()
self.param_name_list[0]
# send changed value of trimcase to avl, parameter is Parameter instance
def update_trim_case(self, trimcase, parameter):
print 'update_trim_case'
self.get_parameters_info_from_avl(self.avl)
self.avl.sendline('oper')
self.avl.sendline(trimcase.type_)
self.avl.expect(AVL.patterns['/oper/m'])
#print self.parameters.keys()
#for p, v in trimcase.parameters.iteritems():
self.avl.sendline('%s %f' % (parameter.cmd, parameter.value))
AVL.goto_state(self.avl)
custom_group = Group(
Item('object.trimcase.type'),
Group(Item('object.trimcase.parameter_view',
editor=Parameter.editor,
show_label=False,
height=0.4),
label='Parameters',
scrollable=True),
#Item('trimcase', style='custom', show_label=False),
Group(Item('varying_param', editor=EnumEditor(name='param_name_list')),
Item('varying_expr', label='Expression')))
class SetActiveAttributeFactory(PipeFactory):
""" Applies the SetActiveAttribute Filter mayavi filter to the given
VTK object.
"""
point_scalars = String(adapts="point_scalars_name",
help="The name of the active point scalars")
point_vectors = String(adapts="point_vectors_name",
help="The name of the active point vectors")
point_tensors = String(adapts="point_tensors_name",
help="The name of the active point tensors")
cell_scalars = String(adapts="cell_scalars_name",
help="The name of the active cell scalars")
cell_vectors = String(adapts="cell_vectors_name",
help="The name of the active cell vectors")
cell_tensors = String(adapts="cell_tensors_name",
help="The name of the active cell tensors")
_target = Instance(filters.SetActiveAttribute, ())
class Interval(LinearListOfReal1):
floatingType = String("LinearListOfReal1")
first = Float(0.0)
last = Float(0.0)
number_of_values = None
class LinearListOfInteger2(Simple):
floatingType = String("linearListOfInteger2")
first = Float(0.0)
step = Float(0.0)
number_of_values = Int(0)
class PerDecadeListOfReal(Simple):
floatingType = String("perDecadeListOfReal")
first = Float(0.0)
number_of_decades = Int(0)
number_Of_values_per_decade = Int(0)
class LogarithmListOfReal(Simple):
floatingType = String("logarithmListOfReal")
first = Float(0.0)
last = Float(0.0)
number_of_values = 0
class LinearListOfReal1(Simple):
floatingType = String("linearListOfReal1")
first = Float(0.0)
last = Float(0.0)
number_of_values = Int(0)
class ParameterPanel(HasTraits):
scan_type = String('')
parameter_list = []
#Load all Python modules in the scripts directory and import
#the UserParameter object if it exists. See /scripts/parameter.template
#for user parameter script syntax.if sys.platform == 'darwin':
if sys.platform == 'darwin':
script_path = os.path.expanduser(
'~/Library/Application Support/RadPy/Scripts')
if not os.path.exists(script_path):
os.makedirs(script_path)
for name in glob.glob('../Scripts/*.py'):
shutil.copy(name, script_path)
else:
script_path = os.path.join(os.pardir, 'Scripts')
#
for name in os.listdir(script_path):
if name.endswith(".py") and name != '__init__.py':
try:
module = os.path.splitext(name)[0]
f, filename, description = imp.find_module(
module, [script_path])
# Import the module if no exception occurred
#class_name = module+'.UserParameter'
script = imp.load_module(module, f, filename, description)
# If the module is a single file, close it
if not (description[2] == imp.PKG_DIRECTORY):
f.close()
parameter_list.append(script.UserParameter())
#print 'Plugin:', module, 'loaded'
except (ImportError, AttributeError):
# Not able to find module so pass
pass
# sys.path.append(os.path.join(os.pardir,'Scripts'))
# for name in os.listdir(os.path.join(os.pardir,'Scripts')) :
# if name.endswith(".py" ) and name != '__init__.py':
# name = os.path.splitext(name)[0]
# try:
# exec("from " + name +" import UserParameter")
#
# except ImportError:
# pass
#
# except:
# print "Unexpected error:", sys.exc_info()[0]
# raise
#
# else:
# parameter_list.append(UserParameter())
#
item_list = []
for i in parameter_list:
exec(i.name + ' = Float')
item_list.append(i.get_item())
traits_ui_view = View(
VGroup(item_list,
id='radpy.plugins.BeamAnalysis.Parameters',
padding=15,
show_border=True),
resizable=True,
title="Parameters",
#id='radpy.plugins.BeamAnalysis.ParameterPanel'
id='ParameterPanel')
def update_parameters(self, beam):
if beam:
self.scan_type = beam.get_scan_type()
for i in self.parameter_list:
parameter = i.calc(beam)
setattr(self, i.name, parameter)
else:
self.scan_type = 'None'
class SSelectorOnMeshNode(Base):
shortName = String(ELEMENT_LENGTH)
i = Int()
j = Int()
k = Int()
class SegmentorRW(SegmentorBase):
name = "Random Walk Segmentation"
description = "Segmentation plugin using the Random Walk algorithm "
author = "C. N. Straehle, HCI - University of Heidelberg"
homepage = "http://hci.iwr.uni-heidelberg.de"
gamma = Float(10)
difference = Bool(False)
lisOptions = String("-p saamg -tol 1.0e-4")
view = View(
Item('gamma'),
Item('difference'),
Item('lisOptions'),
buttons=['OK', 'Cancel'],
)
def segment3D(self, labelVolume, labelValues, labelIndices):
seeds = numpy.zeros(labelVolume.shape[0:-1], numpy.uint8)
seeds[:, :, :] = labelVolume[:, :, :, 0]
print "Executing Random walker with gamma ", self.gamma
res = vigra.rw.randomWalk(
numpy.exp(-(self.weights)**2 / self.gamma**2), seeds,
self.lisOptions) #.swapaxes(0,2).view(vigra.ScalarVolume))
self.potentials = res
ret = numpy.argmax(res, 3) + 1
#ret[:] = ret.swapaxes(0,2).view(numpy.ndarray)
ret.shape = ret.shape + (1, )
return ret
def segment2D(self, labelVolume, labelValues, labelIndices):
#TODO: implement
return labelVolume
def setupWeights(self, weights):
#self.weights = numpy.average(weights, axis = 3).astype(numpy.uint8)#.swapaxes(0,2).view(vigra.ScalarVolume)
self.weights = numpy.ndarray(weights.shape + (3, ), numpy.float32)
tw = numpy.ndarray(weights.shape, numpy.float32)
tw[:] = weights[:]
self.weights[-1, :, :, 0] = 0
self.weights[:, -1, :, 1] = 0
self.weights[0, :, -1, 2] = 0
if self.difference:
self.weights[0:-1, :, :,
0] = numpy.abs(tw[1:, :, :] - tw[0:-1, :, :])
self.weights[:, 0:-1, :,
1] = numpy.abs(tw[:, 1:, :] - tw[:, 0:-1, :])
self.weights[:, :, 0:-1,
2] = numpy.abs(tw[:, :, 1:] - tw[:, :, 0:-1])
else:
self.weights[
0:-1, :, :,
0] = 1 - numpy.abs(tw[1:, :, :] + tw[0:-1, :, :]) / 2
self.weights[:, 0:-1, :, 1] = 1 - numpy.abs(tw[:, 1:, :] +
tw[:, 0:-1, :]) / 2
self.weights[:, :, 0:-1, 2] = 1 - numpy.abs(tw[:, :, 1:] +
tw[:, :, 0:-1]) / 2
class GeneralRationalFraction(Vector):
floatingType = String("generalRationalFraction")
values = Array(dtype=numpy.complex64)
class Text(Component):
""" Component with text traits """
#--------------------------------------------------------------------------
# "Text" interface:
#--------------------------------------------------------------------------
# The background color of this component.
bgcolor = "transparent" #"fuchsia"
# Pen for drawing text
pen = Instance(Pen, desc="pen instance with which to draw the text")
# X-axis coordinate
text_x = Float(desc="x-axis coordinate")
# Y-axis coordinate
text_y = Float(desc="y-axis coordinate")
# Text justification
justification = Int(-1, desc="(LEFT, CENTER, RIGHT = -1, 0, 1)")
# justification = Trait("Left", {"Left": -1, "Centre": 0, "Right": 1})
# Width of the text
text_w = Float(desc="width of the text as computed by the library")
# Text to be drawn
text = String(desc="text")
#--------------------------------------------------------------------------
# Views:
#--------------------------------------------------------------------------
traits_view = View(
Group(Item("pen", style="custom", show_label=False),
label="Pen",
show_border=True), Item("text_x"), Item("text_y"),
Item("text_w"), Item("justification"), Item("text"))
#--------------------------------------------------------------------------
# Draw component on the graphics context:
#--------------------------------------------------------------------------
def _draw_mainlayer(self, gc, view_bounds=None, mode="default"):
""" Draws the component """
gc.save_state()
try:
# Specify the font
font = str_to_font(str(self.pen.font))
gc.set_font(font)
gc.set_fill_color(self.pen.color_)
x = self.text_x - (self.text_w / 2)
y = self.text_y - (font.size / 2)
# Show text at the same scale as the graphics context
ctm = gc.get_ctm()
if hasattr(ctm, "__len__") and len(ctm) == 6:
scale = sqrt( (ctm[0] + ctm[1]) * (ctm[0] + ctm[1]) / 2.0 + \
(ctm[2] + ctm[3]) * (ctm[2] + ctm[3]) / 2.0 )
elif hasattr(gc, "get_ctm_scale"):
scale = gc.get_ctm_scale()
else:
raise RuntimeError("Unable to get scale from GC.")
x *= scale
y *= scale
gc.show_text_at_point(self.text, x, y)
finally:
gc.restore_state()
@on_trait_change("pen.+,text_x,text_y,text_w,justification,text")
def _update(self):
if self.pen is None:
return
x = self.text_x - (self.text_w / 2)
x2 = x + self.text_w
font = str_to_font(str(self.pen.font))
y = self.text_y - (font.size / 2)
y2 = y + font.size
self.position = [x, y]
# If bounds are set to 0, horizontal/vertical lines will not render.
self.bounds = [max(x2 - x, 1), max(y2 - y, 1)]
self.request_redraw()
def normal_left_down(self, event):
print "Text [%s] selected at (%d, %d)" % (self.text, event.x, event.y)
class SingleReal(Simple):
floatingType = String("singleReal")
value = Float(0.0)
class Simple(Base):
floatingType = String("simple")
label = String("a_simple")
physicalNature = String("length")
unit = String("meter")
comment = String("a_comment")
class Vector(Simple):
floatingType = String("vector")
values = Array()
class rationalFraction(Vector):
floatingType = String("rationalFraction")
values = Array(dtype=numpy.float32)
class Link(Base):
subject = String("")
object = String("")
class rational(Simple):
floatingType = String("rational")
data = Array(Any)
class Group(Base):
type = String("node")
values = Array(dtype=numpy.int32)
class DataSet(Simple):
floatingType = String("dataSet")
values = Array()
self.runoutput.variable_values[:,
var_names.index(self.var_x)])
self.plotdata.set_data(
'y',
self.runoutput.variable_values[:,
var_names.index(self.var_y)])
except ValueError, e:
pass
self.replot()
#@on_trait_change('runoutput.eigenmatrix')
def replot(self):
self.plot.title = 'Output'
self.plot.request_redraw()
var_x = String('Alpha')
var_y = String('CLtot')
def __init__(self, *l, **kw):
# TODO: implement aspect ratio maintaining
HasTraits.__init__(self, *l, **kw)
#self.plotdata = ArrayPlotData(x=self.pointsx, y=self.pointsy)
plot = Plot(self.plotdata)
plot.plot(("x", "y"))
plot.plot(("x", "y"), type='scatter')
plot.tools.append(PanTool(plot, drag_button='left'))
plot.tools.append(ZoomTool(plot, tool_mode='box'))
plot.tools.append(DragZoom(plot, tool_mode='box', drag_button='right'))
plot.tools.append(CustomSaveTool(
plot)) #, filename='/home/pankaj/Desktop/file.png'))
