def __init__(self, object, parent, buttonType=None):
Node.__init__(self, object, parent)
# list of values used to emulate buttons and associated Tk ids
# created in drawNodeCustomization
if parent:
chkbtval = []
pchkbtval = parent.chkbtval
for i, c in enumerate(parent.tree().columns):
if c.inherited:
chkbtval.append(pchkbtval[i])
else:
chkbtval.append(c.isOn(self))
self.chkbtval = chkbtval
else:
self.chkbtval = []
self.chkbtid = []
self.buttonType = buttonType # can be 'OnOffButtons'
def __init__(self, compView, parentNode, id, parent=None):
QtGui.QGraphicsItem.__init__(self, parent)
Node.__init__(self, parentNode)
self.compositionView = compView
self.setFlags(QtGui.QGraphicsItem.ItemIsSelectable)
self.setAcceptsHoverEvents(True)
self.startAngle = 0
self.spanAngle = 0
self.paintRect = QtCore.QRectF(0, 0, self.width / 2, self.height / 2)
self.fixGraphic = QtGui.QGraphicsSimpleTextItem("F", self)
self.fixGraphic.hide()
self.bezierCurve = None
self.flag = None
self.prtRef = None
self.boundary = self.paintRect
self.clusterHighlight = None
self.permCluster = None
self.clusterActive = False
self.identifier = id
def __init__(self, key, p, left, right, color):
Node.__init__(self, key, p, left, right)
self.color = color
def __init__(self, key, p, left, right, color):
Node.__init__(self, key, p, left, right)
self.color = color
if key != None:
key.pointer = self
def __init__(self,
name,
value,
min_value=None,
max_value=None,
desc=None,
unit=u.dimensionless_unscaled,
transformation=None):
# Make this a node
Node.__init__(self, name)
# Make a static name which will never change (not even after a _change_name call)
self._static_name = str(name)
# Callbacks are executed any time the value for the parameter changes (i.e., its value changes)
# We start from a empty list of callbacks.
self._callbacks = []
# Assign to members
# Store the units as an astropy.units.Unit instance
self._unit = self._safe_assign_unit(unit)
# A ParameterBase instance cannot have auxiliary variables
self._aux_variable = {}
# Set min and max to None first so that the .value setter will work,
# we will override them later if needed
self._external_min_value = None
self._external_max_value = None
# Store the transformation. This allows to disentangle the value of the parameter which the user interact
# width with the value of the parameter the fitting engine (or the Bayesian sampler) interact with
self._transformation = transformation
# Let's store the init value
# NOTE: this will be updated immediately by the _set_value method of the "value" property
self._internal_value = None
# If the value is a Quantity, deal with that
if isinstance(value, u.Quantity):
# If the user did not specify an ad-hoc unit, use the unit
# of the Quantity
if self._unit == u.dimensionless_unscaled:
self._unit = value.unit
# Convert the value to the provided unit (if necessary)
self.value = value.to(self._unit).value
else:
self.value = value
# Set minimum if provided, otherwise use default
# (use the property so the checks that are there are performed also on construction)
self.min_value = min_value
# Set maximum if provided, otherwise use default
# this will be overwritten immediately in the next line
self.max_value = max_value
# Store description
self._desc = desc
# Make the description the documentation as well
self.__doc__ = desc
# Now perform a very lazy check that we can perform math operations on value, minimum and maximum
# (i.e., they are numbers)
if not _behaves_like_a_number(self.value):
raise TypeError("The provided initial value is not a number")
def __init__(self, data=None, parent=None, color=1):
Node.__init__(self, data, parent)
self.color = color
def __init__(self, liss, data):
Node.__init__(self, data)
self.liss = liss
def __init__(self, data=-1, depth=-1, left=None, right=None, idx=None):
Node.__init__(self, data, depth, left, right)
self.idx = idx
