text: # coding: utf-8
  # /*##########################################################################
  #
  # Copyright (c) 2017-2018 European Synchrotron Radiation Facility
  #
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  #
  # The above copyright notice and this permission notice shall be included in
  # all copies or substantial portions of the Software.
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  # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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  """Widget providing a set of tools to draw masks on a PlotWidget.
  
  This widget is meant to work with :class:`silx.gui.plot.PlotWidget`.
  
  - :class:`ImageMask`: Handle mask bitmap update and history
  - :class:`MaskToolsWidget`: GUI for :class:`Mask`
  - :class:`MaskToolsDockWidget`: DockWidget to integrate in :class:`PlotWindow`
  """
  from __future__ import division
  
  
  __authors__ = ["T. Vincent", "P. Knobel"]
  __license__ = "MIT"
  __date__ = "29/08/2018"
  
  
  import os
  import sys
  import numpy
  import logging
  import collections
  import h5py
  
  from silx.image import shapes
  from silx.io.utils import NEXUS_HDF5_EXT, is_dataset
  from silx.gui.dialog.DatasetDialog import DatasetDialog
  
  from ._BaseMaskToolsWidget import BaseMask, BaseMaskToolsWidget, BaseMaskToolsDockWidget
  from . import items
  from ..colors import cursorColorForColormap, rgba
  from .. import qt
  
  from silx.third_party.EdfFile import EdfFile
  from silx.third_party.TiffIO import TiffIO
  
  try:
      import fabio
  except ImportError:
      fabio = None
  
  
  _logger = logging.getLogger(__name__)
  
  
  _HDF5_EXT_STR = ' '.join(['*' + ext for ext in NEXUS_HDF5_EXT])
  
  
  def _selectDataset(filename, mode=DatasetDialog.SaveMode):
      """Open a dialog to prompt the user to select a dataset in
      a hdf5 file.
  
      :param str filename: name of an existing HDF5 file
      :param mode: DatasetDialog.SaveMode or DatasetDialog.LoadMode
      :rtype: str
      :return: Name of selected dataset
      """
      dialog = DatasetDialog()
      dialog.addFile(filename)
      dialog.setWindowTitle("Select a 2D dataset")
      dialog.setMode(mode)
      if not dialog.exec_():
          return None
      return dialog.getSelectedDataUrl().data_path()
  
  
  class ImageMask(BaseMask):
      """A 2D mask field with update operations.
  
      Coords follows (row, column) convention and are in mask array coords.
  
      This is meant for internal use by :class:`MaskToolsWidget`.
      """
      def __init__(self, image=None):
          """
  
          :param image: :class:`silx.gui.plot.items.ImageBase` instance
          """
          BaseMask.__init__(self, image)
          self.reset(shape=(0, 0))  # Init the mask with a 2D shape
  
      def getDataValues(self):
          """Return image data as a 2D or 3D array (if it is a RGBA image).
  
          :rtype: 2D or 3D numpy.ndarray
          """
          return self._dataItem.getData(copy=False)
  
      def save(self, filename, kind):
          """Save current mask in a file
  
          :param str filename: The file where to save to mask
          :param str kind: The kind of file to save in 'edf', 'tif', 'npy', 'h5'
              or 'msk' (if FabIO is installed)
          :raise Exception: Raised if the file writing fail
          """
          if kind == 'edf':
              edfFile = EdfFile(filename, access="w+")
              edfFile.WriteImage({}, self.getMask(copy=False), Append=0)
  
          elif kind == 'tif':
              tiffFile = TiffIO(filename, mode='w')
              tiffFile.writeImage(self.getMask(copy=False), software='silx')
  
          elif kind == 'npy':
              try:
                  numpy.save(filename, self.getMask(copy=False))
              except IOError:
                  raise RuntimeError("Mask file can't be written")
  
          elif ("." + kind) in NEXUS_HDF5_EXT:
              self._saveToHdf5(filename, self.getMask(copy=False))
  
          elif kind == 'msk':
              if fabio is None:
                  raise ImportError("Fit2d mask files can't be written: Fabio module is not available")
              try:
                  data = self.getMask(copy=False)
                  image = fabio.fabioimage.FabioImage(data=data)
                  image = image.convert(fabio.fit2dmaskimage.Fit2dMaskImage)
                  image.save(filename)
              except Exception:
                  _logger.debug("Backtrace", exc_info=True)
                  raise RuntimeError("Mask file can't be written")
          else:
              raise ValueError("Format '%s' is not supported" % kind)
  
      @staticmethod
      def _saveToHdf5(filename, mask):
          """Save a mask array to a HDF5 file.
  
          :param str filename: name of an existing HDF5 file
          :param numpy.ndarray mask: Mask array.
          :returns: True if operation succeeded, False otherwise.
          """
          if not os.path.exists(filename):
              # create new file
              with h5py.File(filename, "w") as _h5f:
                  pass
          dataPath = _selectDataset(filename)
          if dataPath is None:
              return False
          with h5py.File(filename, "a") as h5f:
              existing_ds = h5f.get(dataPath)
              if existing_ds is not None:
                  reply = qt.QMessageBox.question(
                          None,
                          "Confirm overwrite",
                          "Do you want to overwrite an existing dataset?",
                          qt.QMessageBox.Yes | qt.QMessageBox.No)
                  if reply != qt.QMessageBox.Yes:
                      return False
                  del h5f[dataPath]
              try:
                  h5f.create_dataset(dataPath, data=mask)
              except Exception:
                  return False
          return True
  
      # Drawing operations
      def updateRectangle(self, level, row, col, height, width, mask=True):
          """Mask/Unmask a rectangle of the given mask level.
  
          :param int level: Mask level to update.
          :param int row: Starting row of the rectangle
          :param int col: Starting column of the rectangle
          :param int height:
          :param int width:
          :param bool mask: True to mask (default), False to unmask.
          """
          assert 0 < level < 256
          selection = self._mask[max(0, row):row + height + 1,
                                 max(0, col):col + width + 1]
          if mask:
              selection[:, :] = level
          else:
              selection[selection == level] = 0
          self._notify()
  
      def updatePolygon(self, level, vertices, mask=True):
          """Mask/Unmask a polygon of the given mask level.
  
          :param int level: Mask level to update.
          :param vertices: Nx2 array of polygon corners as (row, col)
          :param bool mask: True to mask (default), False to unmask.
          """
          fill = shapes.polygon_fill_mask(vertices, self._mask.shape)
          if mask:
              self._mask[fill != 0] = level
          else:
              self._mask[numpy.logical_and(fill != 0,
                                           self._mask == level)] = 0
          self._notify()
  
      def updatePoints(self, level, rows, cols, mask=True):
          """Mask/Unmask points with given coordinates.
  
          :param int level: Mask level to update.
          :param rows: Rows of selected points
          :type rows: 1D numpy.ndarray
          :param cols: Columns of selected points
          :type cols: 1D numpy.ndarray
          :param bool mask: True to mask (default), False to unmask.
          """
          valid = numpy.logical_and(
              numpy.logical_and(rows >= 0, cols >= 0),
              numpy.logical_and(rows < self._mask.shape[0],
                                cols < self._mask.shape[1]))
          rows, cols = rows[valid], cols[valid]
  
          if mask:
              self._mask[rows, cols] = level
          else:
              inMask = self._mask[rows, cols] == level
              self._mask[rows[inMask], cols[inMask]] = 0
          self._notify()
  
      def updateDisk(self, level, crow, ccol, radius, mask=True):
          """Mask/Unmask a disk of the given mask level.
  
          :param int level: Mask level to update.
          :param int crow: Disk center row.
          :param int ccol: Disk center column.
          :param float radius: Radius of the disk in mask array unit
          :param bool mask: True to mask (default), False to unmask.
          """
          rows, cols = shapes.circle_fill(crow, ccol, radius)
          self.updatePoints(level, rows, cols, mask)
  
      def updateLine(self, level, row0, col0, row1, col1, width, mask=True):
          """Mask/Unmask a line of the given mask level.
  
          :param int level: Mask level to update.
          :param int row0: Row of the starting point.
          :param int col0: Column of the starting point.
          :param int row1: Row of the end point.
          :param int col1: Column of the end point.
          :param int width: Width of the line in mask array unit.
          :param bool mask: True to mask (default), False to unmask.
          """
          rows, cols = shapes.draw_line(row0, col0, row1, col1, width)
          self.updatePoints(level, rows, cols, mask)
  
  
  class MaskToolsWidget(BaseMaskToolsWidget):
      """Widget with tools for drawing mask on an image in a PlotWidget."""
  
      _maxLevelNumber = 255
  
      def __init__(self, parent=None, plot=None):
          super(MaskToolsWidget, self).__init__(parent, plot,
                                                mask=ImageMask())
          self._origin = (0., 0.)  # Mask origin in plot
          self._scale = (1., 1.)  # Mask scale in plot
          self._z = 1  # Mask layer in plot
          self._data = numpy.zeros((0, 0), dtype=numpy.uint8)  # Store image
  
      def setSelectionMask(self, mask, copy=True):
          """Set the mask to a new array.
  
          :param numpy.ndarray mask:
              The array to use for the mask or None to reset the mask.
          :type mask: numpy.ndarray of uint8 of dimension 2, C-contiguous.
                      Array of other types are converted.
          :param bool copy: True (the default) to copy the array,
                            False to use it as is if possible.
          :return: None if failed, shape of mask as 2-tuple if successful.
                   The mask can be cropped or padded to fit active image,
                   the returned shape is that of the active image.
          """
          if mask is None:
              self.resetSelectionMask()
              return self._data.shape[:2]
  
          mask = numpy.array(mask, copy=False, dtype=numpy.uint8)
          if len(mask.shape) != 2:
              _logger.error('Not an image, shape: %d', len(mask.shape))
              return None
  
          # if mask has not changed, do nothing
          if numpy.array_equal(mask, self.getSelectionMask()):
              return mask.shape
  
          # ensure all mask attributes are synchronized with the active image
          # and connect listener
          activeImage = self.plot.getActiveImage()
          if activeImage is not None and activeImage.getLegend() != self._maskName:
              self._activeImageChanged()
              self.plot.sigActiveImageChanged.connect(self._activeImageChanged)
  
          if self._data.shape[0:2] == (0, 0) or mask.shape == self._data.shape[0:2]:
              self._mask.setMask(mask, copy=copy)
              self._mask.commit()
              return mask.shape
          else:
              _logger.warning('Mask has not the same size as current image.'
                              ' Mask will be cropped or padded to fit image'
                              ' dimensions. %s != %s',
                              str(mask.shape), str(self._data.shape))
              resizedMask = numpy.zeros(self._data.shape[0:2],
                                        dtype=numpy.uint8)
              height = min(self._data.shape[0], mask.shape[0])
              width = min(self._data.shape[1], mask.shape[1])
              resizedMask[:height, :width] = mask[:height, :width]
              self._mask.setMask(resizedMask, copy=False)
              self._mask.commit()
              return resizedMask.shape
  
      # Handle mask refresh on the plot
      def _updatePlotMask(self):
          """Update mask image in plot"""
          mask = self.getSelectionMask(copy=False)
          if mask is not None:
              # get the mask from the plot
              maskItem = self.plot.getImage(self._maskName)
              mustBeAdded = maskItem is None
              if mustBeAdded:
                  maskItem = items.MaskImageData()
                  maskItem._setLegend(self._maskName)
              # update the items
              maskItem.setData(mask, copy=False)
              maskItem.setColormap(self._colormap)
              maskItem.setOrigin(self._origin)
              maskItem.setScale(self._scale)
              maskItem.setZValue(self._z)
  
              if mustBeAdded:
                  self.plot._add(maskItem)
  
          elif self.plot.getImage(self._maskName):
              self.plot.remove(self._maskName, kind='image')
  
      def showEvent(self, event):
          try:
              self.plot.sigActiveImageChanged.disconnect(
                  self._activeImageChangedAfterCare)
          except (RuntimeError, TypeError):
              pass
          self._activeImageChanged()  # Init mask + enable/disable widget
          self.plot.sigActiveImageChanged.connect(self._activeImageChanged)
  
      def hideEvent(self, event):
          try:
              self.plot.sigActiveImageChanged.disconnect(
                  self._activeImageChanged)
          except (RuntimeError, TypeError):
              pass
          if self.isMaskInteractionActivated():
              # Disable drawing tool
              self.browseAction.trigger()
  
          if self.getSelectionMask(copy=False) is not None:
              self.plot.sigActiveImageChanged.connect(
                  self._activeImageChangedAfterCare)
  
      def _setOverlayColorForImage(self, image):
          """Set the color of overlay adapted to image
  
          :param image: :class:`.items.ImageBase` object to set color for.
          """
          if isinstance(image, items.ColormapMixIn):
              colormap = image.getColormap()
              self._defaultOverlayColor = rgba(
                  cursorColorForColormap(colormap['name']))
          else:
              self._defaultOverlayColor = rgba('black')
  
      def _activeImageChangedAfterCare(self, *args):
          """Check synchro of active image and mask when mask widget is hidden.
  
          If active image has no more the same size as the mask, the mask is
          removed, otherwise it is adjusted to origin, scale and z.
          """
          activeImage = self.plot.getActiveImage()
          if activeImage is None or activeImage.getLegend() == self._maskName:
              # No active image or active image is the mask...
              self._data = numpy.zeros((0, 0), dtype=numpy.uint8)
              self._mask.setDataItem(None)
              self._mask.reset()
  
              if self.plot.getImage(self._maskName):
                  self.plot.remove(self._maskName, kind='image')
  
              self.plot.sigActiveImageChanged.disconnect(
                  self._activeImageChangedAfterCare)
          else:
              self._setOverlayColorForImage(activeImage)
              self._setMaskColors(self.levelSpinBox.value(),
                                  self.transparencySlider.value() /
                                  self.transparencySlider.maximum())
  
              self._origin = activeImage.getOrigin()
              self._scale = activeImage.getScale()
              self._z = activeImage.getZValue() + 1
              self._data = activeImage.getData(copy=False)
              if self._data.shape[:2] != self._mask.getMask(copy=False).shape:
                  # Image has not the same size, remove mask and stop listening
                  if self.plot.getImage(self._maskName):
                      self.plot.remove(self._maskName, kind='image')
  
                  self.plot.sigActiveImageChanged.disconnect(
                      self._activeImageChangedAfterCare)
              else:
                  # Refresh in case origin, scale, z changed
                  self._mask.setDataItem(activeImage)
                  self._updatePlotMask()
  
      def _activeImageChanged(self, *args):
          """Update widget and mask according to active image changes"""
          activeImage = self.plot.getActiveImage()
          if (activeImage is None or activeImage.getLegend() == self._maskName or
                  activeImage.getData(copy=False).size == 0):
              # No active image or active image is the mask or image has no data...
              self.setEnabled(False)
  
              self._data = numpy.zeros((0, 0), dtype=numpy.uint8)
              self._mask.reset()
              self._mask.commit()
  
          else:  # There is an active image
              self.setEnabled(True)
  
              self._setOverlayColorForImage(activeImage)
  
              self._setMaskColors(self.levelSpinBox.value(),
                                  self.transparencySlider.value() /
                                  self.transparencySlider.maximum())
  
              self._origin = activeImage.getOrigin()
              self._scale = activeImage.getScale()
              self._z = activeImage.getZValue() + 1
              self._data = activeImage.getData(copy=False)
              self._mask.setDataItem(activeImage)
              if self._data.shape[:2] != self._mask.getMask(copy=False).shape:
                  self._mask.reset(self._data.shape[:2])
                  self._mask.commit()
              else:
                  # Refresh in case origin, scale, z changed
                  self._updatePlotMask()
  
              # Threshold tools only available for data with colormap
              self.thresholdGroup.setEnabled(self._data.ndim == 2)
  
          self._updateInteractiveMode()
  
      # Handle whole mask operations
      def load(self, filename):
          """Load a mask from an image file.
  
          :param str filename: File name from which to load the mask
          :raise Exception: An exception in case of failure
          :raise RuntimeWarning: In case the mask was applied but with some
              import changes to notice
          """
          _, extension = os.path.splitext(filename)
          extension = extension.lower()[1:]
  
          if extension == "npy":
              try:
                  mask = numpy.load(filename)
              except IOError:
                  _logger.error("Can't load filename '%s'", filename)
                  _logger.debug("Backtrace", exc_info=True)
                  raise RuntimeError('File "%s" is not a numpy file.', filename)
          elif extension in ["tif", "tiff"]:
              try:
                  image = TiffIO(filename, mode="r")
                  mask = image.getImage(0)
              except Exception as e:
                  _logger.error("Can't load filename %s", filename)
                  _logger.debug("Backtrace", exc_info=True)
                  raise e
          elif extension == "edf":
              try:
                  mask = EdfFile(filename, access='r').GetData(0)
              except Exception as e:
                  _logger.error("Can't load filename %s", filename)
                  _logger.debug("Backtrace", exc_info=True)
                  raise e
          elif extension == "msk":
              if fabio is None:
                  raise ImportError("Fit2d mask files can't be read: Fabio module is not available")
              try:
                  mask = fabio.open(filename).data
              except Exception as e:
                  _logger.error("Can't load fit2d mask file")
                  _logger.debug("Backtrace", exc_info=True)
                  raise e
          elif ("." + extension) in NEXUS_HDF5_EXT:
              mask = self._loadFromHdf5(filename)
              if mask is None:
                  raise IOError("Could not load mask from HDF5 dataset")
          else:
              msg = "Extension '%s' is not supported."
              raise RuntimeError(msg % extension)
  
          effectiveMaskShape = self.setSelectionMask(mask, copy=False)
          if effectiveMaskShape is None:
              return
          if mask.shape != effectiveMaskShape:
              msg = 'Mask was resized from %s to %s'
              msg = msg % (str(mask.shape), str(effectiveMaskShape))
              raise RuntimeWarning(msg)
  
      def _loadMask(self):
          """Open load mask dialog"""
          dialog = qt.QFileDialog(self)
          dialog.setWindowTitle("Load Mask")
          dialog.setModal(1)
  
          extensions = collections.OrderedDict()
          extensions["EDF files"] = "*.edf"
          extensions["TIFF files"] = "*.tif *.tiff"
          extensions["NumPy binary files"] = "*.npy"
          extensions["HDF5 files"] = _HDF5_EXT_STR
          # Fit2D mask is displayed anyway fabio is here or not
          # to show to the user that the option exists
          extensions["Fit2D mask files"] = "*.msk"
  
          filters = []
          filters.append("All supported files (%s)" % " ".join(extensions.values()))
          for name, extension in extensions.items():
              filters.append("%s (%s)" % (name, extension))
          filters.append("All files (*)")
  
          dialog.setNameFilters(filters)
          dialog.setFileMode(qt.QFileDialog.ExistingFile)
          dialog.setDirectory(self.maskFileDir)
          if not dialog.exec_():
              dialog.close()
              return
  
          filename = dialog.selectedFiles()[0]
          dialog.close()
  
          self.maskFileDir = os.path.dirname(filename)
          try:
              self.load(filename)
          except RuntimeWarning as e:
              message = e.args[0]
              msg = qt.QMessageBox(self)
              msg.setIcon(qt.QMessageBox.Warning)
              msg.setText("Mask loaded but an operation was applied.\n" + message)
              msg.exec_()
          except Exception as e:
              message = e.args[0]
              msg = qt.QMessageBox(self)
              msg.setIcon(qt.QMessageBox.Critical)
              msg.setText("Cannot load mask from file. " + message)
              msg.exec_()
  
      @staticmethod
      def _loadFromHdf5(filename):
          """Load a mask array from a HDF5 file.
  
          :param str filename: name of an existing HDF5 file
          :returns: A mask as a numpy array, or None if the interactive dialog
              was cancelled
          """
          dataPath = _selectDataset(filename, mode=DatasetDialog.LoadMode)
          if dataPath is None:
              return None
  
          with h5py.File(filename, "r") as h5f:
              dataset = h5f.get(dataPath)
              if not is_dataset(dataset):
                  raise IOError("%s is not a dataset" % dataPath)
              mask = dataset[()]
          return mask
  
      def _saveMask(self):
          """Open Save mask dialog"""
          dialog = qt.QFileDialog(self)
          dialog.setWindowTitle("Save Mask")
          dialog.setOption(dialog.DontUseNativeDialog)
          dialog.setModal(1)
          hdf5Filter = 'HDF5 (%s)' % _HDF5_EXT_STR
          filters = [
              'EDF (*.edf)',
              'TIFF (*.tif)',
              'NumPy binary file (*.npy)',
              hdf5Filter,
              # Fit2D mask is displayed anyway fabio is here or not
              # to show to the user that the option exists
              'Fit2D mask (*.msk)',
          ]
          dialog.setNameFilters(filters)
          dialog.setFileMode(qt.QFileDialog.AnyFile)
          dialog.setAcceptMode(qt.QFileDialog.AcceptSave)
          dialog.setDirectory(self.maskFileDir)
  
          def onFilterSelection(filt_):
              # disable overwrite confirmation for HDF5,
              # because we append the data to existing files
              if filt_ == hdf5Filter:
                  dialog.setOption(dialog.DontConfirmOverwrite)
              else:
                  dialog.setOption(dialog.DontConfirmOverwrite, False)
  
          dialog.filterSelected.connect(onFilterSelection)
          if not dialog.exec_():
              dialog.close()
              return
  
          nameFilter = dialog.selectedNameFilter()
          filename = dialog.selectedFiles()[0]
          dialog.close()
  
          if "HDF5" in nameFilter:
              has_allowed_ext = False
              for ext in NEXUS_HDF5_EXT:
                  if (len(filename) > len(ext) and
                          filename[-len(ext):].lower() == ext.lower()):
                      has_allowed_ext = True
                      extension = ext
              if not has_allowed_ext:
                  extension = ".h5"
                  filename += ".h5"
          else:
              # convert filter name to extension name with the .
              extension = nameFilter.split()[-1][2:-1]
              if not filename.lower().endswith(extension):
                  filename += extension
  
          if os.path.exists(filename) and "HDF5" not in nameFilter:
              try:
                  os.remove(filename)
              except IOError:
                  msg = qt.QMessageBox(self)
                  msg.setIcon(qt.QMessageBox.Critical)
                  msg.setText("Cannot save.\n"
                              "Input Output Error: %s" % (sys.exc_info()[1]))
                  msg.exec_()
                  return
  
          self.maskFileDir = os.path.dirname(filename)
          try:
              self.save(filename, extension[1:])
          except Exception as e:
              raise
              msg = qt.QMessageBox(self)
              msg.setIcon(qt.QMessageBox.Critical)
              msg.setText("Cannot save file %s\n%s" % (filename, e.args[0]))
              msg.exec_()
  
      def resetSelectionMask(self):
          """Reset the mask"""
          self._mask.reset(shape=self._data.shape[:2])
          self._mask.commit()
  
      def _plotDrawEvent(self, event):
          """Handle draw events from the plot"""
          if (self._drawingMode is None or
                  event['event'] not in ('drawingProgress', 'drawingFinished')):
              return
  
          if not len(self._data):
              return
  
          level = self.levelSpinBox.value()
  
          if (self._drawingMode == 'rectangle' and
                  event['event'] == 'drawingFinished'):
              # Convert from plot to array coords
              doMask = self._isMasking()
              ox, oy = self._origin
              sx, sy = self._scale
  
              height = int(abs(event['height'] / sy))
              width = int(abs(event['width'] / sx))
  
              row = int((event['y'] - oy) / sy)
              if sy < 0:
                  row -= height
  
              col = int((event['x'] - ox) / sx)
              if sx < 0:
                  col -= width
  
              self._mask.updateRectangle(
                  level,
                  row=row,
                  col=col,
                  height=height,
                  width=width,
                  mask=doMask)
              self._mask.commit()
  
          elif (self._drawingMode == 'polygon' and
                  event['event'] == 'drawingFinished'):
              doMask = self._isMasking()
              # Convert from plot to array coords
              vertices = (event['points'] - self._origin) / self._scale
              vertices = vertices.astype(numpy.int)[:, (1, 0)]  # (row, col)
              self._mask.updatePolygon(level, vertices, doMask)
              self._mask.commit()
  
          elif self._drawingMode == 'pencil':
              doMask = self._isMasking()
              # convert from plot to array coords
              col, row = (event['points'][-1] - self._origin) / self._scale
              col, row = int(col), int(row)
              brushSize = self._getPencilWidth()
  
              if self._lastPencilPos != (row, col):
                  if self._lastPencilPos is not None:
                      # Draw the line
                      self._mask.updateLine(
                          level,
                          self._lastPencilPos[0], self._lastPencilPos[1],
                          row, col,
                          brushSize,
                          doMask)
  
                  # Draw the very first, or last point
                  self._mask.updateDisk(level, row, col, brushSize / 2., doMask)
  
              if event['event'] == 'drawingFinished':
                  self._mask.commit()
                  self._lastPencilPos = None
              else:
                  self._lastPencilPos = row, col
  
      def _loadRangeFromColormapTriggered(self):
          """Set range from active image colormap range"""
          activeImage = self.plot.getActiveImage()
          if (isinstance(activeImage, items.ColormapMixIn) and
                  activeImage.getLegend() != self._maskName):
              # Update thresholds according to colormap
              colormap = activeImage.getColormap()
              if colormap['autoscale']:
                  min_ = numpy.nanmin(activeImage.getData(copy=False))
                  max_ = numpy.nanmax(activeImage.getData(copy=False))
              else:
                  min_, max_ = colormap['vmin'], colormap['vmax']
              self.minLineEdit.setText(str(min_))
              self.maxLineEdit.setText(str(max_))
  
  
  class MaskToolsDockWidget(BaseMaskToolsDockWidget):
      """:class:`MaskToolsWidget` embedded in a QDockWidget.
  
      For integration in a :class:`PlotWindow`.
  
      :param parent: See :class:`QDockWidget`
      :param plot: The PlotWidget this widget is operating on
      :paran str name: The title of this widget
      """
      def __init__(self, parent=None, plot=None, name='Mask'):
          widget = MaskToolsWidget(plot=plot)
          super(MaskToolsDockWidget, self).__init__(parent, name, widget)
  