How to use the fabio.app._qt.QMessageBox.warning function in fabio

if self.transform_data_series:
                    if self.sequential_file_mode:
                        self.transformation_queue.addItem('masking')
                        self.transform_list += ['masking']
                        self.log.appendPlainText('Add masking to transformations queue')
                        qt.QCoreApplication.processEvents()
                    else:
                        total = len(self.data_series)
                        if not total:
                            message = "Could not transform image if no data have been loaded"
                            qt.QMessageBox.warning(self, 'Warning', message)
                            return
                        for i in range(len(self.data_series)):
                            if self.data_series[i].shape != self.mask.shape:
                                message = "Mask and image have different shapes, skipping image %d" % i
                                qt.QMessageBox.warning(self, 'Warning', message)
                                self.log.appendPlainText(message)
                            else:
                                self.data_series[i] = self.mask * self.data_series[i]
                                self.progressBar.setValue((float(i + 1) / (total)) * 100.)
                                self.log.appendPlainText('Applying mask to data series: image %d' % i)
                                qt.QCoreApplication.processEvents()
                        iid = self.imgDict[str(self.images_list.currentText())]
                        self.select_new_image(None, imgID=iid)
                else:
                    if self.data.any():
                        self.data = self.mask * self.data
                        iid = self.imgDict[str(self.images_list.currentText())]
                        self.data_series[iid] = self.data[:]
                        self.on_draw()
                        message = 'Binary boolean mask loaded and applied'
                        self.statusBar().showMessage(message, 2000)

else:
                    endian = '>'
                img = fabio.binaryimage.binaryimage()
                img.read(fname, dim1, dim2, offset, bytecode, endian)
                self.mask = img.data[:]
                if self.transform_data_series:
                    if self.sequential_file_mode:
                        self.transformation_queue.addItem('masking')
                        self.transform_list += ['masking']
                        self.log.appendPlainText('Add masking to transformations queue')
                        qt.QCoreApplication.processEvents()
                    else:
                        total = len(self.data_series)
                        if not total:
                            message = "Could not transform image if no data have been loaded"
                            qt.QMessageBox.warning(self, 'Warning', message)
                            return
                        for i in range(len(self.data_series)):
                            if self.data_series[i].shape != self.mask.shape:
                                message = "Mask and image have different shapes, skipping image %d" % i
                                qt.QMessageBox.warning(self, 'Warning', message)
                                self.log.appendPlainText(message)
                            else:
                                self.data_series[i] = self.mask * self.data_series[i]
                                self.progressBar.setValue((float(i + 1) / (total)) * 100.)
                                self.log.appendPlainText('Applying mask to data series: image %d' % i)
                                qt.QCoreApplication.processEvents()
                        iid = self.imgDict[str(self.images_list.currentText())]
                        self.select_new_image(None, imgID=iid)
                else:
                    if self.data.any():
                        self.data = self.mask * self.data

def binary_block_info(self):
        if str(self.lineEdit.text()) != '' and str(self.lineEdit_2.text()) != '' and str(self.lineEdit_3.text()) != '':
            self.dim1 = int(str(self.lineEdit.text()))
            self.dim2 = int(str(self.lineEdit_2.text()))
            self.offset = int(str(self.lineEdit_3.text()))
        else:
            message = "All informations are mandatory, please fill the blanks"
            qt.QMessageBox.warning(self, 'Warning', message)
            return
        self.bytecode = str(self.comboBox.currentText())
        self.endian = str(self.comboBox_2.currentText())
        self.accept()

def open_h5_data_series(self):  # TODO batch mode compatibility
        fname = qt.QFileDialog.getOpenFileName(self, 'Select and open series of files')
        if isinstance(fname, tuple):
            # PyQt5 compatibility
            fname = fname[0]

        fname = str(fname)
        self.h5_loaded = True
        if self.filecheckBox.checkState():
            self.filecheckBox.stateChanged.disconnect()
            self.filecheckBox.setCheckState(False)
            self.sequential_file_mode = False
            self.filecheckBox.stateChanged.connect(self.sequential_option)
            message = 'Sequential file mode is not compatible with hdf5 input file: option removed'
            qt.QMessageBox.warning(self, 'Message', message)
        if fname:
            self.data_series = []
            self.header_series = []
            self.sequential_file_list = []
            self.sequential_file_dict = {}
            self.imagelistWidget.clear()
            self.headerTextEdit.clear()
            with Nexus(fname, 'r') as nxs:
                entry = nxs.get_entries()[0]
                nxdata = nxs.get_class(entry, class_type="NXdata")[0]
                dataset = nxdata.get("data", numpy.zeros(shape=(1, 1, 1)))
                total = dataset.shape[0]
                imgDict = {}
                extract_fname = os.path.basename(os.path.splitext(fname)[0])
                self.images_list.clear()
                safeiid = 0

def _open(self, filename):
        """Returns a fabio image if the file can be loaded, else display a
        dialog to help decoding the file. Else return None."""
        try:
            img = fabio.open(filename)
        except Exception as _:
            message = 'Automatic format recognition procedure failed or '\
                'pehaps you are trying to open a binary data block...\n\n'\
                'Switch to manual procedure.'
            qt.QMessageBox.warning(self, 'Message', message)
            dial = BinDialog(self)
            dim1, dim2, offset, bytecode, endian = dial.exec_()
            if dim1 is not None and dim2 is not None:
                if endian == 'Short':
                    endian = '<'
                else:
                    endian = '>'
                img = fabio.binaryimage.binaryimage()
                img.read(filename, dim1, dim2, offset, bytecode, endian)
                img.header = {'Info': 'No header information available in binary data blocks'}
            else:
                return
        return img

self.data_series[i] = self.data_series[i].transpose()[:]
                    self.progressBar.setValue((float(i + 1) / (total)) * 100.)
                    self.log.appendPlainText('Applying transposition to data series: image %d' % i)
                    qt.QCoreApplication.processEvents()
                iid = self.imgDict[str(self.images_list.currentText())]
                self.select_new_image(None, imgID=iid)
        else:
            if self.data.any():
                self.data = self.data.transpose()[:]
                iid = self.imgDict[str(self.images_list.currentText())]
                self.data_series[iid] = self.data[:]
                self.log.appendPlainText('Applying transposition to current data')
                self.on_draw()
            else:
                message = "Could not transform image if no data have been loaded"
                qt.QMessageBox.warning(self, 'Warning', message)
        self.progressBar.setValue(0)

info = self._getSaveFileNameAndFilter(self, "Save data series as single high density file",
                                              qt.QDir.currentPath(),
                                              filter=self.tr("HDF5 archive (*.h5)"))
        if self.data_series or self.sequential_file_list:
            if str(info[0]) != '' and str(info[1]) != '':
                format_ = self.extract_format_from_string(str(info[1]))
                fname = self.add_extention_if_absent(str(info[0]), format_)
                if format_ == '*.h5':
                    self.convert_and_save_to_h5(fname)
                else:
                    qt.QMessageBox.warning(self, 'Warning', "Unknown format: %s" % format_)
                    return
        else:
            if str(info[0]) != '' and str(info[1]) != '':
                message = "Could not save image as file if no data have been loaded"
                qt.QMessageBox.warning(self, 'Warning', message)

def vertical_mirror(self):
        if self.transform_data_series:
            if self.sequential_file_mode:
                self.transformation_queue.addItem('vertical_mirror')
                self.transform_list += ['vertical_mirror']
                self.log.appendPlainText('Add vertical mirror to transformations queue')
                qt.QCoreApplication.processEvents()
            else:
                total = len(self.data_series)
                if not total:
                    message = "Could not transform image if no data have been loaded"
                    qt.QMessageBox.warning(self, 'Warning', message)
                    return
                for i in range(len(self.data_series)):
                    self.data_series[i] = numpy.fliplr(self.data_series[i])[:]
                    self.progressBar.setValue((float(i + 1) / (total)) * 100.)
                    self.log.appendPlainText('Applying vertical mirror to data series: image %d' % i)
                    qt.QCoreApplication.processEvents()
                iid = self.imgDict[str(self.images_list.currentText())]
                self.select_new_image(None, imgID=iid)
        else:
            if self.data.any():
                self.data = numpy.fliplr(self.data)[:]
                iid = self.imgDict[str(self.images_list.currentText())]
                self.data_series[iid] = self.data[:]
                self.log.appendPlainText('Applying vertical mirror to current data')
                self.on_draw()
            else:

def rotation_270(self):
        if self.transform_data_series:
            if self.sequential_file_mode:
                self.transformation_queue.addItem('rotation(-90)')
                self.transform_list += ['rotation(-90)']
                self.log.appendPlainText('Add - 90 rotation to transformations queue')
                qt.QCoreApplication.processEvents()
            else:
                total = len(self.data_series)
                if not total:
                    message = "Could not transform image if no data have been loaded"
                    qt.QMessageBox.warning(self, 'Warning', message)
                    return
                for i in range(len(self.data_series)):
                    self.data_series[i] = numpy.rot90(self.data_series[i], 3)[:]
                    self.progressBar.setValue((float(i + 1) / (total)) * 100.)
                    self.log.appendPlainText('Applying - 90 rotation to data series: image %d' % i)
                    qt.QCoreApplication.processEvents()
                iid = self.imgDict[str(self.images_list.currentText())]
                self.select_new_image(None, imgID=iid)
        else:
            if self.data.any():
                self.data = numpy.rot90(self.data, 3)[:]
                iid = self.imgDict[str(self.images_list.currentText())]
                self.data_series[iid] = self.data[:]
                self.log.appendPlainText('Applying - 90 rotation to current data')
                self.on_draw()
            else:

def rotation_90(self):
        if self.transform_data_series:
            if self.sequential_file_mode:
                self.transformation_queue.addItem('rotation(+90)')
                self.transform_list += ['rotation(+90)']
                self.log.appendPlainText('Add + 90 rotation to transformations queue')
                qt.QCoreApplication.processEvents()
            else:
                total = len(self.data_series)
                if not total:
                    message = "Could not transform image if no data have been loaded"
                    qt.QMessageBox.warning(self, 'Warning', message)
                    return
                for i in range(len(self.data_series)):
                    self.data_series[i] = numpy.rot90(self.data_series[i])[:]
                    self.progressBar.setValue((float(i + 1) / (total)) * 100.)
                    self.log.appendPlainText('Applying + 90 rotation to data series: image %d' % i)
                    qt.QCoreApplication.processEvents()
                iid = self.imgDict[str(self.images_list.currentText())]
                self.select_new_image(None, imgID=iid)
        else:
            if self.data.any():
                self.data = numpy.rot90(self.data)[:]
                iid = self.imgDict[str(self.images_list.currentText())]
                self.data_series[iid] = self.data[:]
                self.log.appendPlainText('Applying + 90 rotation to current data')
                self.on_draw()
            else: