def test_double_spin_box(self):
w = DoubleSpinBox(
minimum=-1,
maximum=1,
value=0,
singleStep=0.1,
decimals=-1,
minimumStep=1e-7,
)
self.assertEqual(w.minimum(), -1)
self.assertEqual(w.maximum(), 1)
self.assertEqual(w.value(), 0)
self.assertEqual(w.singleStep(), 0.1)
self.assertEqual(w.decimals(), -1)
self.assertEqual(w.minimumStep(), 1e-7)
w.setValue(2)
self.assertEqual(w.value(), 1)
w.setValue(0.999999)
self.assertEqual(w.value(), 0.999999)
w.stepBy(-1)
self.assertEqual(w.value(), 0.899999)
w.stepBy(1)
self.assertEqual(w.value(), 0.999999)
w.stepBy(1)
self.assertEqual(w.value(), 1.0)
w.setStepType(DoubleSpinBox.AdaptiveDecimalStepType)
w.stepBy(-1)
self.assertEqual(w.value(), 0.99)
w.setValue(0.123456789)
w.stepBy(1)
self.assertEqual(w.value(), 0.133456789)
w.stepBy(-1)
self.assertEqual(w.value(), 0.123456789)
w.setMinimumStep(0.001)
w.setValue(0.00005)
w.stepBy(1)
w.setValue(0.00105)
w.setDecimals(3)
self.assertEqual(w.value(), 0.001)
w.stepBy(1)
self.assertEqual(w.value(), 0.002)
class OWImpute(OWWidget):
name = "Impute"
description = "Impute missing values in the data table."
icon = "icons/Impute.svg"
priority = 2110
keywords = ["substitute", "missing"]
category = "Transform"
class Inputs:
data = Input("Data", Orange.data.Table)
learner = Input("Learner", Learner)
class Outputs:
data = Output("Data", Orange.data.Table)
class Error(OWWidget.Error):
imputation_failed = Msg("Imputation failed for '{}'")
model_based_imputer_sparse = \
Msg("Model based imputer does not work for sparse data")
class Warning(OWWidget.Warning):
cant_handle_var = Msg("Default method can not handle '{}'")
settingsHandler = settings.DomainContextHandler()
_default_method_index = settings.Setting(int(Method.Leave)) # type: int
# Per-variable imputation state (synced in storeSpecificSettings)
_variable_imputation_state = settings.ContextSetting({}) # type: VariableState
autocommit = settings.Setting(True)
default_numeric_value = settings.Setting(0.0)
default_time = settings.Setting(0)
want_main_area = False
resizing_enabled = False
def __init__(self):
super().__init__()
self.data = None # type: Optional[Orange.data.Table]
self.learner = None # type: Optional[Learner]
self.default_learner = SimpleTreeLearner(min_instances=10, max_depth=10)
self.modified = False
self.executor = qconcurrent.ThreadExecutor(self)
self.__task = None
main_layout = self.controlArea.layout()
box = gui.vBox(self.controlArea, "Default Method")
box_layout = QGridLayout()
box_layout.setSpacing(8)
box.layout().addLayout(box_layout)
button_group = QButtonGroup()
button_group.idClicked.connect(self.set_default_method)
for i, (method, _) in enumerate(list(METHODS.items())[1:-1]):
imputer = self.create_imputer(method)
button = QRadioButton(imputer.name)
button.setChecked(method == self.default_method_index)
button_group.addButton(button, method)
box_layout.addWidget(button, i % 3, i // 3)
def set_default_time(datetime):
datetime = datetime.toSecsSinceEpoch()
if datetime != self.default_time:
self.default_time = datetime
if self.default_method_index == Method.Default:
self._invalidate()
hlayout = QHBoxLayout()
box.layout().addLayout(hlayout)
button = QRadioButton("Fixed values; numeric variables:")
button_group.addButton(button, Method.Default)
button.setChecked(Method.Default == self.default_method_index)
hlayout.addWidget(button)
self.numeric_value_widget = DoubleSpinBox(
minimum=DBL_MIN, maximum=DBL_MAX, singleStep=.1,
value=self.default_numeric_value,
alignment=Qt.AlignRight,
enabled=self.default_method_index == Method.Default,
)
self.numeric_value_widget.editingFinished.connect(
self.__on_default_numeric_value_edited
)
self.connect_control(
"default_numeric_value", self.numeric_value_widget.setValue
)
hlayout.addWidget(self.numeric_value_widget)
hlayout.addWidget(QLabel(", time:"))
self.time_widget = gui.DateTimeEditWCalendarTime(self)
self.time_widget.setEnabled(self.default_method_index == Method.Default)
self.time_widget.setKeyboardTracking(False)
self.time_widget.setContentsMargins(0, 0, 0, 0)
self.time_widget.set_datetime(
QDateTime.fromSecsSinceEpoch(self.default_time)
)
self.connect_control(
"default_time",
lambda value: self.time_widget.set_datetime(
QDateTime.fromSecsSinceEpoch(value)
)
)
self.time_widget.dateTimeChanged.connect(set_default_time)
hlayout.addWidget(self.time_widget)
self.default_button_group = button_group
box = gui.hBox(self.controlArea, self.tr("Individual Attribute Settings"),
flat=False)
self.varview = ListViewSearch(
selectionMode=QListView.ExtendedSelection,
uniformItemSizes=True
)
self.varview.setItemDelegate(DisplayFormatDelegate())
self.varmodel = itemmodels.VariableListModel()
self.varview.setModel(self.varmodel)
self.varview.selectionModel().selectionChanged.connect(
self._on_var_selection_changed
)
self.selection = self.varview.selectionModel()
box.layout().addWidget(self.varview)
vertical_layout = QVBoxLayout()
self.methods_container = QWidget(enabled=False)
method_layout = QVBoxLayout()
method_layout.setContentsMargins(0, 0, 0, 0)
self.methods_container.setLayout(method_layout)
button_group = QButtonGroup()
for method in Method:
imputer = self.create_imputer(method)
button = QRadioButton(text=imputer.name)
button_group.addButton(button, method)
method_layout.addWidget(button)
self.value_combo = QComboBox(
minimumContentsLength=8,
sizeAdjustPolicy=QComboBox.AdjustToMinimumContentsLengthWithIcon,
activated=self._on_value_selected
)
self.value_double = DoubleSpinBox(
editingFinished=self._on_value_selected,
minimum=DBL_MIN, maximum=DBL_MAX, singleStep=.1,
)
self.value_stack = value_stack = QStackedWidget()
value_stack.addWidget(self.value_combo)
value_stack.addWidget(self.value_double)
method_layout.addWidget(value_stack)
button_group.idClicked.connect(
self.set_method_for_current_selection
)
self.reset_button = QPushButton(
"Restore All to Default", enabled=False, default=False,
autoDefault=False, clicked=self.reset_variable_state,
)
vertical_layout.addWidget(self.methods_container)
vertical_layout.addStretch(2)
vertical_layout.addWidget(self.reset_button)
box.layout().addLayout(vertical_layout)
self.variable_button_group = button_group
gui.auto_apply(self.buttonsArea, self, "autocommit")
def create_imputer(self, method, *args):
# type: (Method, ...) -> impute.BaseImputeMethod
if method == Method.Model:
if self.learner is not None:
return impute.Model(self.learner)
else:
return impute.Model(self.default_learner)
elif method == Method.AsAboveSoBelow:
assert self.default_method_index != Method.AsAboveSoBelow
default = self.create_imputer(Method(self.default_method_index))
m = AsDefault()
m.method = default
return m
elif method == Method.Default and not args: # global default values
return impute.FixedValueByType(
default_continuous=self.default_numeric_value,
default_time=self.default_time
)
else:
return METHODS[method](*args)
@property
def default_method_index(self):
return self._default_method_index
@default_method_index.setter
def default_method_index(self, index):
if self._default_method_index != index:
assert index != Method.AsAboveSoBelow
self._default_method_index = index
self.default_button_group.button(index).setChecked(True)
self.time_widget.setEnabled(index == Method.Default)
self.numeric_value_widget.setEnabled(index == Method.Default)
# update variable view
self.update_varview()
self._invalidate()
def set_default_method(self, index):
"""Set the current selected default imputation method.
"""
self.default_method_index = index
def __on_default_numeric_value_edited(self):
val = self.numeric_value_widget.value()
if val != self.default_numeric_value:
self.default_numeric_value = val
if self.default_method_index == Method.Default:
self._invalidate()
@Inputs.data
@check_sql_input
def set_data(self, data):
self.cancel()
self.closeContext()
self.varmodel[:] = []
self._variable_imputation_state = {} # type: VariableState
self.modified = False
self.data = data
if data is not None:
self.varmodel[:] = data.domain.variables
self.openContext(data.domain)
# restore per variable imputation state
self._restore_state(self._variable_imputation_state)
self.reset_button.setEnabled(len(self.varmodel) > 0)
self.update_varview()
self.commit.now()
@Inputs.learner
def set_learner(self, learner):
self.cancel()
self.learner = learner or self.default_learner
imputer = self.create_imputer(Method.Model)
button = self.default_button_group.button(Method.Model)
button.setText(imputer.name)
variable_button = self.variable_button_group.button(Method.Model)
variable_button.setText(imputer.name)
if learner is not None:
self.default_method_index = Method.Model
self.update_varview()
self.commit.deferred()
def get_method_for_column(self, column_index):
# type: (int) -> impute.BaseImputeMethod
"""
Return the imputation method for column by its index.
"""
assert 0 <= column_index < len(self.varmodel)
idx = self.varmodel.index(column_index, 0)
state = idx.data(StateRole)
if state is None:
state = (Method.AsAboveSoBelow, ())
return self.create_imputer(state[0], *state[1])
def _invalidate(self):
self.modified = True
if self.__task is not None:
self.cancel()
self.commit.deferred()
@gui.deferred
def commit(self):
self.cancel()
self.warning()
self.Error.imputation_failed.clear()
self.Error.model_based_imputer_sparse.clear()
if not self.data or not self.varmodel.rowCount():
self.Outputs.data.send(self.data)
self.modified = False
return
data = self.data
impute_state = [
(i, var, self.get_method_for_column(i))
for i, var in enumerate(self.varmodel)
]
# normalize to the effective method bypasing AsDefault
impute_state = [
(i, var, m.method if isinstance(m, AsDefault) else m)
for i, var, m in impute_state
]
def impute_one(method, var, data):
# type: (impute.BaseImputeMethod, Variable, Table) -> Any
# Readability counts, pylint: disable=no-else-raise
if isinstance(method, impute.Model) and data.is_sparse():
raise SparseNotSupported()
elif isinstance(method, impute.DropInstances):
return RowMask(method(data, var))
elif not method.supports_variable(var):
raise VariableNotSupported(var)
else:
return method(data, var)
futures = []
for _, var, method in impute_state:
f = self.executor.submit(
impute_one, copy.deepcopy(method), var, data)
futures.append(f)
w = qconcurrent.FutureSetWatcher(futures)
w.doneAll.connect(self.__commit_finish)
w.progressChanged.connect(self.__progress_changed)
self.__task = Task(futures, w)
self.progressBarInit()
self.setInvalidated(True)
@Slot()
def __commit_finish(self):
assert QThread.currentThread() is self.thread()
assert self.__task is not None
futures = self.__task.futures
assert len(futures) == len(self.varmodel)
assert self.data is not None
def get_variable(variable, future, drop_mask) \
-> Optional[List[Orange.data.Variable]]:
# Returns a (potentially empty) list of variables,
# or None on failure that should interrupt the imputation
assert future.done()
try:
res = future.result()
except SparseNotSupported:
self.Error.model_based_imputer_sparse()
return [] # None?
except VariableNotSupported:
self.Warning.cant_handle_var(variable.name)
return []
except Exception: # pylint: disable=broad-except
log = logging.getLogger(__name__)
log.info("Error for %s", variable.name, exc_info=True)
self.Error.imputation_failed(variable.name)
return None
if isinstance(res, RowMask):
drop_mask |= res.mask
newvar = variable
else:
newvar = res
if isinstance(newvar, Orange.data.Variable):
newvar = [newvar]
return newvar
def create_data(attributes, class_vars):
domain = Orange.data.Domain(
attributes, class_vars, self.data.domain.metas)
try:
return self.data.from_table(domain, self.data[~drop_mask])
except Exception: # pylint: disable=broad-except
log = logging.getLogger(__name__)
log.info("Error", exc_info=True)
self.Error.imputation_failed("Unknown")
return None
self.__task = None
self.setInvalidated(False)
self.progressBarFinished()
attributes = []
class_vars = []
drop_mask = np.zeros(len(self.data), bool)
for i, (var, fut) in enumerate(zip(self.varmodel, futures)):
newvar = get_variable(var, fut, drop_mask)
if newvar is None:
data = None
break
if i < len(self.data.domain.attributes):
attributes.extend(newvar)
else:
class_vars.extend(newvar)
else:
data = create_data(attributes, class_vars)
self.Outputs.data.send(data)
self.modified = False
@Slot(int, int)
def __progress_changed(self, n, d):
assert QThread.currentThread() is self.thread()
assert self.__task is not None
self.progressBarSet(100. * n / d)
def cancel(self):
self.__cancel(wait=False)
def __cancel(self, wait=False):
if self.__task is not None:
task, self.__task = self.__task, None
task.cancel()
task.watcher.doneAll.disconnect(self.__commit_finish)
task.watcher.progressChanged.disconnect(self.__progress_changed)
if wait:
concurrent.futures.wait(task.futures)
task.watcher.flush()
self.progressBarFinished()
self.setInvalidated(False)
def onDeleteWidget(self):
self.__cancel(wait=True)
super().onDeleteWidget()
def send_report(self):
specific = []
for i, var in enumerate(self.varmodel):
method = self.get_method_for_column(i)
if not isinstance(method, AsDefault):
specific.append("{} ({})".format(var.name, str(method)))
default = self.create_imputer(Method.AsAboveSoBelow)
if specific:
self.report_items((
("Default method", default.name),
("Specific imputers", ", ".join(specific))
))
else:
self.report_items((("Method", default.name),))
def _on_var_selection_changed(self):
# Method is well documented, splitting it is not needed for readability,
# thus pylint: disable=too-many-branches
indexes = self.selection.selectedIndexes()
self.methods_container.setEnabled(len(indexes) > 0)
defmethod = (Method.AsAboveSoBelow, ())
methods = [index.data(StateRole) for index in indexes]
methods = [m if m is not None else defmethod for m in methods]
methods = set(methods)
selected_vars = [self.varmodel[index.row()] for index in indexes]
has_discrete = any(var.is_discrete for var in selected_vars)
fixed_value = None
value_stack_enabled = False
current_value_widget = None
if len(methods) == 1:
method_type, parameters = methods.pop()
for m in Method:
if method_type == m:
self.variable_button_group.button(m).setChecked(True)
if method_type == Method.Default:
(fixed_value,) = parameters
elif self.variable_button_group.checkedButton() is not None:
# Uncheck the current button
self.variable_button_group.setExclusive(False)
self.variable_button_group.checkedButton().setChecked(False)
self.variable_button_group.setExclusive(True)
assert self.variable_button_group.checkedButton() is None
# Update variable methods GUI enabled state based on selection.
for method in Method:
# use a default constructed imputer to query support
imputer = self.create_imputer(method)
enabled = all(imputer.supports_variable(var) for var in
selected_vars)
button = self.variable_button_group.button(method)
button.setEnabled(enabled)
# Update the "Value" edit GUI.
if not has_discrete:
# no discrete variables -> allow mass edit for all (continuous vars)
value_stack_enabled = True
current_value_widget = self.value_double
elif len(selected_vars) == 1:
# single discrete var -> enable and fill the values combo
value_stack_enabled = True
current_value_widget = self.value_combo
self.value_combo.clear()
self.value_combo.addItems(selected_vars[0].values)
else:
# mixed type selection -> disable
value_stack_enabled = False
current_value_widget = None
self.variable_button_group.button(Method.Default).setEnabled(False)
self.value_stack.setEnabled(value_stack_enabled)
if current_value_widget is not None:
self.value_stack.setCurrentWidget(current_value_widget)
if fixed_value is not None:
# set current value
if current_value_widget is self.value_combo:
self.value_combo.setCurrentIndex(fixed_value)
elif current_value_widget is self.value_double:
self.value_double.setValue(fixed_value)
else:
assert False
def set_method_for_current_selection(self, method_index):
# type: (Method) -> None
indexes = self.selection.selectedIndexes()
self.set_method_for_indexes(indexes, method_index)
def set_method_for_indexes(self, indexes, method_index):
# type: (List[QModelIndex], Method) -> None
if method_index == Method.AsAboveSoBelow:
for index in indexes:
self.varmodel.setData(index, None, StateRole)
elif method_index == Method.Default:
current = self.value_stack.currentWidget()
if current is self.value_combo:
value = self.value_combo.currentIndex()
else:
value = self.value_double.value()
for index in indexes:
state = (int(Method.Default), (value,))
self.varmodel.setData(index, state, StateRole)
else:
state = (int(method_index), ())
for index in indexes:
self.varmodel.setData(index, state, StateRole)
self.update_varview(indexes)
self._invalidate()
def update_varview(self, indexes=None):
if indexes is None:
indexes = map(self.varmodel.index, range(len(self.varmodel)))
for index in indexes:
self.varmodel.setData(
index, self.get_method_for_column(index.row()),
DisplayMethodRole)
def _on_value_selected(self):
# The fixed 'Value' in the widget has been changed by the user.
self.variable_button_group.button(Method.Default).setChecked(True)
self.set_method_for_current_selection(Method.Default)
def reset_variable_state(self):
indexes = list(map(self.varmodel.index, range(len(self.varmodel))))
self.set_method_for_indexes(indexes, Method.AsAboveSoBelow)
self.variable_button_group.button(Method.AsAboveSoBelow).setChecked(True)
def _store_state(self):
# type: () -> VariableState
"""
Save the current variable imputation state
"""
state = {} # type: VariableState
for i, var in enumerate(self.varmodel):
index = self.varmodel.index(i)
m = index.data(StateRole)
if m is not None:
state[var_key(var)] = m
return state
def _restore_state(self, state):
# type: (VariableState) -> None
"""
Restore the variable imputation state from the saved state
"""
def check(state):
# check if state is a proper State
if isinstance(state, tuple) and len(state) == 2:
m, p = state
if isinstance(m, int) and isinstance(p, tuple) and \
0 <= m < len(Method):
return True
return False
for i, var in enumerate(self.varmodel):
m = state.get(var_key(var), None)
if check(m):
self.varmodel.setData(self.varmodel.index(i), m, StateRole)
def storeSpecificSettings(self):
self._variable_imputation_state = self._store_state()
super().storeSpecificSettings()
class ColorGradientSelection(QWidget):
activated = Signal(int)
currentIndexChanged = Signal(int)
thresholdsChanged = Signal(float, float)
centerChanged = Signal(float)
def __init__(self, *args, thresholds=(0.0, 1.0), center=None, **kwargs):
super().__init__(*args, **kwargs)
low = round(clip(thresholds[0], 0., 1.), 2)
high = round(clip(thresholds[1], 0., 1.), 2)
high = max(low, high)
self.__threshold_low, self.__threshold_high = low, high
self.__center = center
form = QFormLayout(
formAlignment=Qt.AlignLeft,
labelAlignment=Qt.AlignLeft,
fieldGrowthPolicy=QFormLayout.AllNonFixedFieldsGrow
)
form.setContentsMargins(0, 0, 0, 0)
self.gradient_cb = QComboBox(
None, objectName="gradient-combo-box",
)
self.gradient_cb.setAttribute(Qt.WA_LayoutUsesWidgetRect)
icsize = self.style().pixelMetric(
QStyle.PM_SmallIconSize, None, self.gradient_cb
)
self.gradient_cb.setIconSize(QSize(64, icsize))
model = itemmodels.ContinuousPalettesModel()
model.setParent(self)
self.gradient_cb.setModel(model)
self.gradient_cb.activated[int].connect(self.activated)
self.gradient_cb.currentIndexChanged.connect(self.currentIndexChanged)
if center is not None:
def on_center_spin_value_changed(value):
if self.__center != value:
self.__center = value
self.centerChanged.emit(self.__center)
self.center_box = QWidget()
center_layout = QHBoxLayout()
self.center_box.setLayout(center_layout)
self.center_edit = DoubleSpinBox(
value=self.__center,
minimum=DBL_MIN, maximum=DBL_MAX, minimumStep=0.01,
minimumContentsLenght=8,
stepType=DoubleSpinBox.AdaptiveDecimalStepType,
keyboardTracking=False,
sizePolicy=QSizePolicy(QSizePolicy.Fixed, QSizePolicy.Fixed)
)
self.center_edit.valueChanged.connect(on_center_spin_value_changed)
center_layout.setContentsMargins(0, 0, 0, 0)
center_layout.addStretch(1)
center_layout.addWidget(QLabel("Centered at"))
center_layout.addWidget(self.center_edit)
self.gradient_cb.currentIndexChanged.connect(
self.__update_center_visibility)
else:
self.center_box = None
slider_low = Slider(
objectName="threshold-low-slider", minimum=0, maximum=100,
value=int(low * 100), orientation=Qt.Horizontal,
tickPosition=QSlider.TicksBelow, pageStep=10,
toolTip=self.tr("Low gradient threshold"),
whatsThis=self.tr("Applying a low threshold will squeeze the "
"gradient from the lower end")
)
slider_high = Slider(
objectName="threshold-low-slider", minimum=0, maximum=100,
value=int(high * 100), orientation=Qt.Horizontal,
tickPosition=QSlider.TicksAbove, pageStep=10,
toolTip=self.tr("High gradient threshold"),
whatsThis=self.tr("Applying a high threshold will squeeze the "
"gradient from the higher end")
)
form.setWidget(0, QFormLayout.SpanningRole, self.gradient_cb)
if self.center_box:
form.setWidget(1, QFormLayout.SpanningRole, self.center_box)
form.addRow(self.tr("Low:"), slider_low)
form.addRow(self.tr("High:"), slider_high)
self.slider_low = slider_low
self.slider_high = slider_high
self.slider_low.valueChanged.connect(self.__on_slider_low_moved)
self.slider_high.valueChanged.connect(self.__on_slider_high_moved)
self.setLayout(form)
def setModel(self, model: QAbstractItemModel) -> None:
self.gradient_cb.setModel(model)
def model(self) -> QAbstractItemModel:
return self.gradient_cb.model()
def findData(self, data: Any, role: Qt.ItemDataRole) -> int:
return self.gradient_cb.findData(data, role)
def setCurrentIndex(self, index: int) -> None:
self.gradient_cb.setCurrentIndex(index)
self.__update_center_visibility()
def currentIndex(self) -> int:
return self.gradient_cb.currentIndex()
currentIndex_ = Property(
int, currentIndex, setCurrentIndex, notify=currentIndexChanged)
def currentData(self, role=Qt.UserRole) -> Any:
return self.gradient_cb.currentData(role)
def thresholds(self) -> Tuple[float, float]:
return self.__threshold_low, self.__threshold_high
thresholds_ = Property(object, thresholds, notify=thresholdsChanged)
def thresholdLow(self) -> float:
return self.__threshold_low
def setThresholdLow(self, low: float) -> None:
self.setThresholds(low, max(self.__threshold_high, low))
thresholdLow_ = Property(
float, thresholdLow, setThresholdLow, notify=thresholdsChanged)
def thresholdHigh(self) -> float:
return self.__threshold_high
def setThresholdHigh(self, high: float) -> None:
self.setThresholds(min(self.__threshold_low, high), high)
thresholdHigh_ = Property(
float, thresholdLow, setThresholdLow, notify=thresholdsChanged)
def __on_slider_low_moved(self, value: int) -> None:
high = self.slider_high
old = self.__threshold_low, self.__threshold_high
self.__threshold_low = value / 100.
if value >= high.value():
self.__threshold_high = value / 100.
high.setSliderPosition(value)
new = self.__threshold_low, self.__threshold_high
if new != old:
self.thresholdsChanged.emit(*new)
def __on_slider_high_moved(self, value: int) -> None:
low = self.slider_low
old = self.__threshold_low, self.__threshold_high
self.__threshold_high = value / 100.
if low.value() >= value:
self.__threshold_low = value / 100
low.setSliderPosition(value)
new = self.__threshold_low, self.__threshold_high
if new != old:
self.thresholdsChanged.emit(*new)
def setThresholds(self, low: float, high: float) -> None:
low = round(clip(low, 0., 1.), 2)
high = round(clip(high, 0., 1.), 2)
if low > high:
high = low
if self.__threshold_low != low or self.__threshold_high != high:
self.__threshold_high = high
self.__threshold_low = low
self.slider_low.setSliderPosition(int(low * 100))
self.slider_high.setSliderPosition(int(high * 100))
self.thresholdsChanged.emit(high, low)
def __update_center_visibility(self):
if self.center_box is None:
return
palette = self.currentData()
self.center_box.setVisible(
isinstance(palette, colorpalettes.Palette)
and palette.flags & palette.Flags.Diverging != 0)
def center(self) -> float:
return self.__center
def setCenter(self, center: float) -> None:
if self.__center != center:
self.__center = center
self.center_edit.setValue(center)
self.centerChanged.emit(center)
center_ = Property(float, center, setCenter, notify=centerChanged)