Python icons.getQIcon函数代码示例

    def __createTreeWindow(self, treeView):
        toolbar = qt.QToolBar(self)
        toolbar.setIconSize(qt.QSize(16, 16))
        toolbar.setStyleSheet("QToolBar { border: 0px }")

        action = qt.QAction(toolbar)
        action.setIcon(icons.getQIcon("tree-expand-all"))
        action.setText("Expand all")
        action.setToolTip("Expand all selected items")
        action.triggered.connect(self.__expandAllSelected)
        action.setShortcut(qt.QKeySequence(qt.Qt.ControlModifier + qt.Qt.Key_Plus))
        toolbar.addAction(action)
        treeView.addAction(action)
        self.__expandAllAction = action

        action = qt.QAction(toolbar)
        action.setIcon(icons.getQIcon("tree-collapse-all"))
        action.setText("Collapse all")
        action.setToolTip("Collapse all selected items")
        action.triggered.connect(self.__collapseAllSelected)
        action.setShortcut(qt.QKeySequence(qt.Qt.ControlModifier + qt.Qt.Key_Minus))
        toolbar.addAction(action)
        treeView.addAction(action)
        self.__collapseAllAction = action

        widget = qt.QWidget(self)
        layout = qt.QVBoxLayout(widget)
        layout.setContentsMargins(0, 0, 0, 0)
        layout.setSpacing(0)
        layout.addWidget(toolbar)
        layout.addWidget(treeView)
        return widget

    def __init__(self, parent=None):
        self.__pixmap = None
        self.__positionCount = None
        self.__firstValue = 0.
        self.__secondValue = 1.
        self.__minValue = 0.
        self.__maxValue = 1.
        self.__hoverRect = qt.QRect()
        self.__hoverControl = None

        self.__focus = None
        self.__moving = None

        self.__icons = {
            'first': icons.getQIcon('previous'),
            'second': icons.getQIcon('next')
        }

        # call the super constructor AFTER defining all members that
        # are used in the "paint" method
        super(RangeSlider, self).__init__(parent)

        self.setFocusPolicy(qt.Qt.ClickFocus)
        self.setAttribute(qt.Qt.WA_Hover)

        self.setMinimumSize(qt.QSize(50, 20))
        self.setMaximumHeight(20)

        # Broadcast value changed signal
        self.sigValueChanged.connect(self.__emitPositionChanged)

    def __initContent(self):
        """Create all expected actions and set the content of this toolbar."""
        action = qt.QAction("Create a new custom NXdata", self)
        action.setIcon(icons.getQIcon("nxdata-create"))
        action.triggered.connect(self.__createNewNxdata)
        self.addAction(action)
        self.__addNxDataAction = action

        action = qt.QAction("Remove the selected NXdata", self)
        action.setIcon(icons.getQIcon("nxdata-remove"))
        action.triggered.connect(self.__removeSelectedNxdata)
        self.addAction(action)
        self.__removeNxDataAction = action

        self.addSeparator()

        action = qt.QAction("Create a new axis to the selected NXdata", self)
        action.setIcon(icons.getQIcon("nxdata-axis-add"))
        action.triggered.connect(self.__appendNewAxisToSelectedNxdata)
        self.addAction(action)
        self.__addNxDataAxisAction = action

        action = qt.QAction("Remove the selected NXdata axis", self)
        action.setIcon(icons.getQIcon("nxdata-axis-remove"))
        action.triggered.connect(self.__removeSelectedAxis)
        self.addAction(action)
        self.__removeNxDataAxisAction = action

 def testCacheReleased(self):
     icon1 = icons.getQIcon("crop")
     icon1_id = str(icon1.__repr__())
     icon1 = None
     # alloc another thing in case the old icon1 object is reused
     _icon3 = icons.getQIcon("colormap")
     icon2 = icons.getQIcon("crop")
     icon2_id = str(icon2.__repr__())
     self.assertNotEquals(icon1_id, icon2_id)

    def __init__(self, parent=None, plot=None, title=''):
        super(_BaseProfileToolBar, self).__init__(title, parent)

        self.__profile = None
        self.__profileTitle = ''

        assert isinstance(plot, PlotWidget)
        self._plotRef = weakref.ref(
            plot, WeakMethodProxy(self.__plotDestroyed))

        self._profileWindow = None

        # Set-up interaction manager
        roiManager = RegionOfInterestManager(plot)
        self._roiManagerRef = weakref.ref(roiManager)

        roiManager.sigInteractiveModeFinished.connect(
            self.__interactionFinished)
        roiManager.sigRegionOfInterestChanged.connect(self.updateProfile)
        roiManager.sigRegionOfInterestAdded.connect(self.__roiAdded)

        # Add interactive mode actions
        for kind, icon, tooltip in (
                ('hline', 'shape-horizontal',
                 'Enables horizontal line profile selection mode'),
                ('vline', 'shape-vertical',
                 'Enables vertical line profile selection mode'),
                ('line', 'shape-diagonal',
                 'Enables line profile selection mode')):
            action = roiManager.getInteractionModeAction(kind)
            action.setIcon(icons.getQIcon(icon))
            action.setToolTip(tooltip)
            self.addAction(action)

        # Add clear action
        action = qt.QAction(icons.getQIcon('profile-clear'),
                            'Clear Profile', self)
        action.setToolTip('Clear the profile')
        action.setCheckable(False)
        action.triggered.connect(self.clearProfile)
        self.addAction(action)

        # Initialize color
        self._color = None
        self.setColor('red')

        # Listen to plot limits changed
        plot.getXAxis().sigLimitsChanged.connect(self.updateProfile)
        plot.getYAxis().sigLimitsChanged.connect(self.updateProfile)

        # Listen to plot scale
        plot.getXAxis().sigScaleChanged.connect(self.__plotAxisScaleChanged)
        plot.getYAxis().sigScaleChanged.connect(self.__plotAxisScaleChanged)

        self.setDefaultProfileWindowEnabled(True)

        def __init__(self, parent=None):
            qt.QToolBar.__init__(self, parent)
            self.setIconSize(qt.QSize(16, 16))

            action = qt.QAction(self)
            action.setIcon(icons.getQIcon("stats-active-items"))
            action.setText("Active items only")
            action.setToolTip("Display stats for active items only.")
            action.setCheckable(True)
            action.setChecked(True)
            self.__displayActiveItems = action

            action = qt.QAction(self)
            action.setIcon(icons.getQIcon("stats-whole-items"))
            action.setText("All items")
            action.setToolTip("Display stats for all available items.")
            action.setCheckable(True)
            self.__displayWholeItems = action

            action = qt.QAction(self)
            action.setIcon(icons.getQIcon("stats-visible-data"))
            action.setText("Use the visible data range")
            action.setToolTip("Use the visible data range.<br/>"
                              "If activated the data is filtered to only use"
                              "visible data of the plot."
                              "The filtering is a data sub-sampling."
                              "No interpolation is made to fit data to"
                              "boundaries.")
            action.setCheckable(True)
            self.__useVisibleData = action

            action = qt.QAction(self)
            action.setIcon(icons.getQIcon("stats-whole-data"))
            action.setText("Use the full data range")
            action.setToolTip("Use the full data range.")
            action.setCheckable(True)
            action.setChecked(True)
            self.__useWholeData = action

            self.addAction(self.__displayWholeItems)
            self.addAction(self.__displayActiveItems)
            self.addSeparator()
            self.addAction(self.__useVisibleData)
            self.addAction(self.__useWholeData)

            self.itemSelection = qt.QActionGroup(self)
            self.itemSelection.setExclusive(True)
            self.itemSelection.addAction(self.__displayActiveItems)
            self.itemSelection.addAction(self.__displayWholeItems)

            self.dataRangeSelection = qt.QActionGroup(self)
            self.dataRangeSelection.setExclusive(True)
            self.dataRangeSelection.addAction(self.__useWholeData)
            self.dataRangeSelection.addAction(self.__useVisibleData)

    def _initGui(self):
        qt.loadUi(pyFAI.utils.get_ui_file("calibration-experiment.ui"), self)
        icon = icons.getQIcon("pyfai:gui/icons/task-settings")
        self.setWindowIcon(icon)

        self.initNextStep()

        self._detectorLabel.setAcceptDrops(True)
        self._image.setAcceptDrops(True)
        self._mask.setAcceptDrops(True)

        self._imageLoader.setDialogTitle("Load calibration image")
        self._maskLoader.setDialogTitle("Load mask image")
        self._darkLoader.setDialogTitle("Load dark image")

        self._customDetector.clicked.connect(self.__customDetector)

        self.__plot = self.__createPlot(parent=self._imageHolder)
        self.__plot.setObjectName("plot-experiment")
        self.__plotBackground = SynchronizePlotBackground(self.__plot)

        layout = qt.QVBoxLayout(self._imageHolder)
        layout.addWidget(self.__plot)
        layout.setContentsMargins(1, 1, 1, 1)
        self._imageHolder.setLayout(layout)

        self._detectorFileDescription.setElideMode(qt.Qt.ElideMiddle)

        self._calibrant.setFileLoadable(True)
        self._calibrant.sigLoadFileRequested.connect(self.loadCalibrant)

        self.__synchronizeRawView = SynchronizeRawView()
        self.__synchronizeRawView.registerTask(self)
        self.__synchronizeRawView.registerPlot(self.__plot)

    def __createPlot(self, parent):
        plot = silx.gui.plot.PlotWidget(parent=parent)
        plot.setKeepDataAspectRatio(True)
        plot.setDataMargins(0.1, 0.1, 0.1, 0.1)
        plot.setGraphXLabel("X")
        plot.setGraphYLabel("Y")

        colormap = CalibrationContext.instance().getRawColormap()
        plot.setDefaultColormap(colormap)

        from silx.gui.plot import tools
        toolBar = tools.InteractiveModeToolBar(parent=self, plot=plot)
        plot.addToolBar(toolBar)
        toolBar = tools.ImageToolBar(parent=self, plot=plot)
        colormapDialog = CalibrationContext.instance().getColormapDialog()
        toolBar.getColormapAction().setColorDialog(colormapDialog)
        plot.addToolBar(toolBar)

        toolBar = qt.QToolBar(self)
        plot3dAction = qt.QAction(self)
        plot3dAction.setIcon(icons.getQIcon("pyfai:gui/icons/3d"))
        plot3dAction.setText("3D visualization")
        plot3dAction.setToolTip("Display a 3D visualization of the detector")
        plot3dAction.triggered.connect(self.__display3dDialog)
        toolBar.addAction(plot3dAction)
        plot.addToolBar(toolBar)

        return plot

 def __init__(self, parent):
     super(_Plot2dView, self).__init__(
         parent=parent,
         modeId=PLOT2D_MODE,
         label="Image",
         icon=icons.getQIcon("view-2d"))
     self.__resetZoomNextTime = True

    def __init__(self, parent=None, maskImageWidget=None):
        """

        :param maskImageWidget: Parent SilxMaskImageWidget
        """
        qt.QToolButton.__init__(self, parent)
        self.maskImageWidget = maskImageWidget
        self.setIcon(icons.getQIcon("document-save"))
        self.clicked.connect(self._saveToolButtonSignal)
        self.setToolTip('Save Graph')

        self._saveMenu = qt.QMenu()
        self._saveMenu.addAction(
                SaveImageListAction("Image Data", self.maskImageWidget))
        self._saveMenu.addAction(
                SaveImageListAction("Colormap Clipped Seen Image Data",
                                    self.maskImageWidget, clipped=True))
        self._saveMenu.addAction(
                SaveImageListAction("Clipped and Subtracted Seen Image Data",
                                    self.maskImageWidget, clipped=True, subtract=True))
        # standard silx save action
        self._saveMenu.addAction(PlotActions.SaveAction(
                plot=self.maskImageWidget.plot, parent=self))

        if QPyMcaMatplotlibSave is not None:
            self._saveMenu.addAction(SaveMatplotlib("Matplotlib",
                                                    self.maskImageWidget))

 def __init__(self, parent, plot3d=None):
     super(VideoAction, self).__init__(parent, plot3d)
     self.setText('Record video..')
     self.setIcon(getQIcon('camera'))
     self.setToolTip(
         'Record a video of a 360 degrees rotation of the 3D scene.')
     self.setCheckable(False)
     self.triggered[bool].connect(self._triggered)

 def __getNxIcon(self, baseIcon):
     iconHash = baseIcon.cacheKey()
     icon = self.__iconCache.get(iconHash, None)
     if icon is None:
         nxIcon = icons.getQIcon("layer-nx")
         icon = self.__createCompoundIcon(baseIcon, nxIcon)
         self.__iconCache[iconHash] = icon
     return icon

    def toggleViewAction(self):
        """Returns a checkable action that shows or closes this widget.

        See :class:`QMainWindow`.
        """
        action = super(BaseMaskToolsDockWidget, self).toggleViewAction()
        action.setIcon(icons.getQIcon('image-mask'))
        action.setToolTip("Display/hide mask tools")
        return action

 def _warningIcon(self):
     if self._cacheWarningIcon is None:
         icon = icons.getQIcon("pyfai:gui/icons/warning")
         pixmap = icon.pixmap(64)
         coloredIcon = qt.QIcon()
         coloredIcon.addPixmap(pixmap, qt.QIcon.Normal)
         coloredIcon.addPixmap(pixmap, qt.QIcon.Disabled)
         self._cacheWarningIcon = coloredIcon
     return self._cacheWarningIcon

    def __init__(self, plot, parent=None):
        # Uses two images for checked/unchecked states
        self._states = {
            False: (icons.getQIcon('plot-ydown'),
                    "Orient Y axis downward"),
            True: (icons.getQIcon('plot-yup'),
                   "Orient Y axis upward"),
        }

        icon, tooltip = self._states[plot.getYAxis().isInverted()]
        super(YAxisInvertedAction, self).__init__(
            plot,
            icon=icon,
            text='Invert Y Axis',
            tooltip=tooltip,
            triggered=self._actionTriggered,
            checkable=False,
            parent=parent)
        plot.getYAxis().sigInvertedChanged.connect(self._yAxisInvertedChanged)