def __on_selection_changed(self, selection: QItemSelection, *_): self.Error.load_error.clear() if selection.indexes(): self.ontology_index = row = selection.indexes()[0].row() data = self.__model[row].cached_word_tree self.__ontology_view.set_data(data) self.__update_score() error_msg = self.__model[row].error_msg if error_msg: self.Error.load_error(error_msg)
def select(self, selection, flags): """Reimplemented.""" if isinstance(selection, QModelIndex): selection = QItemSelection(selection, selection) model = self.model() indexes = self.selectedIndexes() rows = set(ind.row() for ind in indexes) cols = set(ind.column() for ind in indexes) if flags & QItemSelectionModel.Select and \ not flags & QItemSelectionModel.Clear and self.__selectBlocks: indexes = selection.indexes() sel_rows = set(ind.row() for ind in indexes).union(rows) sel_cols = set(ind.column() for ind in indexes).union(cols) selection = QItemSelection() for r_start, r_end in ranges(sorted(sel_rows)): for c_start, c_end in ranges(sorted(sel_cols)): top_left = model.index(r_start, c_start) bottom_right = model.index(r_end - 1, c_end - 1) selection.select(top_left, bottom_right) elif self.__selectBlocks and flags & QItemSelectionModel.Deselect: indexes = selection.indexes() def to_ranges(indices): return list(range(*r) for r in ranges(indices)) selected_rows = to_ranges(sorted(rows)) selected_cols = to_ranges(sorted(cols)) desel_rows = to_ranges(set(ind.row() for ind in indexes)) desel_cols = to_ranges(set(ind.column() for ind in indexes)) selection = QItemSelection() # deselection extended vertically for row_range, col_range in \ itertools.product(selected_rows, desel_cols): selection.select( model.index(row_range.start, col_range.start), model.index(row_range.stop - 1, col_range.stop - 1) ) # deselection extended horizontally for row_range, col_range in \ itertools.product(desel_rows, selected_cols): selection.select( model.index(row_range.start, col_range.start), model.index(row_range.stop - 1, col_range.stop - 1) ) QItemSelectionModel.select(self, selection, flags)
def select(self, selection, flags): if isinstance(selection, QModelIndex): selection = QItemSelection(selection, selection) model = self.model() indexes = selection.indexes() sel_inds = {ind.row() for ind in indexes} | \ {ind.column() for ind in indexes} if flags == QItemSelectionModel.ClearAndSelect: selected = set() else: selected = {ind.row() for ind in self.selectedIndexes()} if flags & QItemSelectionModel.Select: selected |= sel_inds elif flags & QItemSelectionModel.Deselect: selected -= sel_inds new_selection = QItemSelection() regions = list(ranges(sorted(selected))) for r_start, r_end in regions: for c_start, c_end in regions: top_left = model.index(r_start, c_start) bottom_right = model.index(r_end - 1, c_end - 1) new_selection.select(top_left, bottom_right) QItemSelectionModel.select(self, new_selection, QItemSelectionModel.ClearAndSelect)
def __value_var_changed(self, selection: QItemSelection): if not selection: return self.value_var = selection.indexes()[0].data(gui.TableVariable) self.apply_group_var_sorting() self.setup_plot() self.__selection_changed([], [])
def select(self, selection, flags): if isinstance(selection, QModelIndex): selection = QItemSelection(selection, selection) model = self.model() indexes = selection.indexes() sel_inds = {ind.row() for ind in indexes} | \ {ind.column() for ind in indexes} if flags == QItemSelectionModel.ClearAndSelect: selected = set() else: selected = {ind.row() for ind in self.selectedIndexes()} if flags & QItemSelectionModel.Select: selected |= sel_inds elif flags & QItemSelectionModel.Deselect: selected -= sel_inds new_selection = QItemSelection() regions = list(ranges(sorted(selected))) for r_start, r_end in regions: for c_start, c_end in regions: top_left = model.index(r_start, c_start) bottom_right = model.index(r_end - 1, c_end - 1) new_selection.select(top_left, bottom_right) QItemSelectionModel.select(self, new_selection, QItemSelectionModel.ClearAndSelect)
def __on_library_selection_changed(self, selected: QItemSelection, *_): index = [i.row() for i in selected.indexes()] if index: current = index[0] word_list: WordList = self.library_model[current] self.word_list_index = current self.selected_words = set() self.words_model.wrap(list(word_list.cached_words)) self._apply_update_rule()
def commit(self, selection: QItemSelection) -> None: """Commit the selected tree to output.""" selected_indices = selection.indexes() if not len(selected_indices): self.selected_index = None self.Outputs.tree.send(None) return # We only allow selecting a single tree so there will always be one index self.selected_index = selected_indices[0].row() tree = self.rf_model.trees[self.selected_index] tree.instances = self.instances tree.meta_target_class_index = self.target_class_index tree.meta_size_calc_idx = self.size_calc_idx tree.meta_depth_limit = self.depth_limit self.Outputs.tree.send(tree)
def commit(self, selection: QItemSelection) -> None: """Commit the selected tree to output.""" selected_indices = selection.indexes() if not len(selected_indices): self.selected_index = None self.Outputs.tree.send(None) return # We only allow selecting a single tree so there will always be one index self.selected_index = selected_indices[0].row() tree = self.rf_model.trees[self.selected_index] tree.instances = self.instances tree.meta_target_class_index = self.target_class_index tree.meta_size_calc_idx = self.size_calc_idx tree.meta_depth_limit = self.depth_limit self.Outputs.tree.send(tree)