def getFontFromCmnd(self, fontinfo): ''' Returns a QFont based on the information in the dictionary fontinfo. Recognized keys in the font dictionary are: "family": font family name (string) "size": text size in points (1/72 inches) "italic": italicize? (False/True) "bold": make bold? (False/True) "underline": underline? (False/True) ''' try: myfont = QFont(fontinfo["family"]) except KeyError: myfont = self.__viewer.font() try: myfont.setPointSizeF(fontinfo["size"]) except KeyError: pass try: myfont.setItalic(fontinfo["italic"]) except KeyError: pass try: myfont.setBold(fontinfo["bold"]) except KeyError: pass try: myfont.setUnderline(fontinfo["underline"]) except KeyError: pass return myfont
def calc_size(cls, self): font = QFont(self.fontName) if self.fontSize: font.setPointSizeF(self.fontSize) if self.fontBold: font.setBold(True) if self.fontItalic: font.setItalic(True) fm = QFontMetrics(font) flags = cls.textFlags(self) r = fm.boundingRect(0, 0, self.width, 0, flags, self.text) self.height = r.height() + 4 return self.width, self.height
def draw(cls, x, y, self: PreparedText, painter: QPainter): font = QFont(self.fontName) if self.fontSize: font.setPointSizeF(self.fontSize) if self.fontBold: font.setBold(True) if self.fontItalic: font.setItalic(True) brushStyle = self.brushStyle or Qt.BrushStyle.SolidPattern w = self.width h = self.height tx = self.left + x ty = self.top + y if self.border: w -= self.border.width h -= self.border.width * 2 tx += self.border.width ty += self.border.width rect = QRectF(tx, ty, w, h) if self.backColor: painter.setBrush(brush_style_map[brushStyle]) painter.fillRect(rect, QColor('#' + hex(self.backColor)[2:])) if self.allowTags: doc = QTextDocument() doc.setDefaultFont(font) doc.setHtml(self.text) doc.setDocumentMargin(0) painter.save() painter.translate(tx + 2, ty + 1) doc.drawContents(painter, QRectF(0, 0, self.width, self.height)) painter.restore() else: painter.save() painter.setFont(font) flags = cls.textFlags(self) rect.setX(rect.x() + 2) rect.setY(rect.y() + 1) painter.drawText(rect, flags, self.text) painter.restore() if self.border and self.border.color is not None: old_pen = painter.pen() pen = QPen( QColor(self.border.color), self.border.width, pen_style_map.get(self.border.style, Qt.PenStyle.SolidLine)) painter.setPen(pen) painter.drawLines( cls.getLines(self, self.left + x, self.top + y, self.left + self.width + x, self.top + y + self.height)) painter.setPen(old_pen)
def __init__(self): """Constructs a Style.""" SM = self.SizeMetric FT = self.Font self._inch_metric = { SM.NodeFrameCornerRadius: 0.1, SM.NodeFrameTextPadding: 0.1, SM.NodeDividerTextMargin: 0.05, SM.NodeMessagePadding: 0.05, SM.NodeConnectionPadding: 0.15, SM.NodeFrameWidth: 0.02, SM.NodeWidth: 2, SM.EdgeWidth: 0.02, SM.EdgeBezierPointOffset: 0.8, SM.EdgeBezierCloseDistance: 1.5, SM.EdgeDragPrecisionRadius: 0.1, SM.ConnectionStemLength: 0.2, SM.ConnectionTextLength: 1.5, SM.ConnectionStemTextMargin: 0.05, SM.MessageIconSize: 0.16, SM.MessageTextLength: 2.5, SM.MessageIconTextMargin: 0.05, SM.PasteOffset: 0.5 } default_font = QFont("Segoe UI") default_font.setPointSizeF(10.5) title_font = QFont("Segoe UI Semibold") title_font.setPointSizeF(10.5) self._font = { FT.Default: default_font, FT.NodeTitle: title_font, FT.NodeDescription: QFont(default_font), FT.ConnectionText: QFont(default_font), FT.MessageText: QFont(default_font) } self._frame_pen = QPen() self._frame_pen.setCapStyle(Qt.PenCapStyle.FlatCap) self._frame_pen.setWidthF(self.pixelMetric(SM.NodeFrameWidth)) self._edge_pen = QPen() self._edge_pen.setCapStyle(Qt.PenCapStyle.FlatCap) self._edge_pen.setWidthF(self.pixelMetric(SM.EdgeWidth))
def init_run_section(self): font14 = QFont() font14.setPointSizeF(12) self.header_run.setFont(font14) self.header_run.setText("RUN") self.run_comment.setText("Iteration stopped in 128 iteration") self.run_comment.hide() font10 = QFont() font10.setPointSizeF(10) self.run_comment.setFont(font10) self.run_comment.setAlignment(Qt.AlignCenter) self.progress.show() self.addWidget(self.header_run, 2, 1, 1, 1) self.addWidget(self.run_comment, 3, 1, 1, 1) self.addWidget(self.progress, 4, 1, 1, 1) self.addWidget(self.btn_run, 5, 1, 1, 1)
def resize(self, *args, **kwargs): h_ratio = 1.0 if self.font is None: return objects_ref = self._objects objects = [] self._objects = [] p = self.font.pointSizeF() for k in objects_ref: obj = k() if obj is None: continue self._objects.append(k) objects.append(obj) obj.setFont(self.font) h_obj = obj.height() h_txt = obj.preferred_height() h_ratio = min(h_obj / h_txt, h_ratio) if h_ratio <= 0: h_ratio = 1e-9 font = QFont(self.font) font.setPointSizeF(p * h_ratio) for obj in objects: obj.setFont(font)
class InputsLayout(QFormLayout): # this signal is connected to print_output from output_layout class. Connection is done in center_layout ga_result = Signal( str ) # a signal that is emitted so it can transfer resulting string to the output_layout class def __init__(self): super(InputsLayout, self).__init__() self.big_font = QFont() self.medium_font = QFont() self.header = QLabel() self.header_general = QLabel() self.header_fitness_remapping = QLabel() self.header_stop = QLabel() self.header_selection = QLabel() self.header_pairing = QLabel() self.header_crossover = QLabel() self.header_mutation = QLabel() self.inp_functions_combo = QComboBox() self.inp_num_variables = QSpinBox() self.inp_extrema_min = QRadioButton("Minimum") self.inp_extrema_max = QRadioButton("Maximum") self.inp_pop_size = QSpinBox() self.inp_lower_bound = QDoubleSpinBox() self.inp_upper_bound = QDoubleSpinBox() # Stopping self.inp_max_iter = QSpinBox() self.inp_similarity_cb = QCheckBox() self.inp_similarity = QSpinBox() self.inp_best_result_cb = QCheckBox() self.inp_best_result = QDoubleSpinBox() self.inp_average_result_cb = QCheckBox() self.inp_average_result = QDoubleSpinBox() # Fitness remapping self.inp_fitness_remapping = QComboBox() # Selection self.inp_selection_method = QComboBox() self.inp_elitism = QDoubleSpinBox() # Pairing self.inp_pairing_method = QComboBox() # Crossover self.inp_crossover_method = QComboBox() self.inp_crossover_fraction = QDoubleSpinBox() self.intermediate_offset = QDoubleSpinBox() # Mutation self.inp_mutation_method = QComboBox() self.inp_mutation_intensity = QDoubleSpinBox() self.inp_mutation_intensity_final = QDoubleSpinBox() self.init_fonts() self.init_header() self.init_row_functions() self.init_row_general() self.init_row_fitness_remapping() self.init_row_stop() self.init_row_selection() self.init_row_pairing() self.init_row_crossover() self.init_row_mutation() def init_fonts(self): self.big_font.setPointSizeF(14) self.medium_font.setPointSizeF(12) def init_header(self): self.header.setFont(self.big_font) self.header.setAlignment(Qt.AlignCenter) self.header.setText("Genetic Algorithm Continuous Optimization") self.addRow(self.header) self.addRow(QHLine()) def init_row_functions(self): self.inp_functions_combo.addItem("Ackley", ackley) self.inp_functions_combo.addItem("Griewank", griewank) self.inp_functions_combo.addItem("Michalewicz", michalewicz) self.inp_extrema_min.setChecked(True) radio_box = QHBoxLayout() radio_box.addWidget(self.inp_extrema_min) radio_box.addWidget(self.inp_extrema_max) self.addRow("Function:", self.inp_functions_combo) self.inp_num_variables.setMaximum(10000) self.inp_num_variables.setValue(10) self.addRow("Number of variables:", self.inp_num_variables) self.addRow("Find:", radio_box) self.addRow(QHLine()) def init_row_general(self): self.header_general.setFont(self.medium_font) self.header_general.setText("General") self.inp_pop_size.setMaximum(10000) self.inp_pop_size.setValue(300) self.inp_lower_bound.setMaximum(1000000) self.inp_lower_bound.setMinimum(-1000000.0) self.inp_lower_bound.setValue(-10) self.inp_upper_bound.setMaximum(1000000) self.inp_upper_bound.setMinimum(-1000000.0) self.inp_upper_bound.setValue(10) self.addRow(self.header_general) self.addRow("Population size", self.inp_pop_size) self.addRow("Lower Bound", self.inp_lower_bound) self.addRow("Upper Bound", self.inp_upper_bound) self.addRow(QHLine()) def init_row_fitness_remapping(self): self.header_fitness_remapping.setFont(self.medium_font) self.header_fitness_remapping.setText("Fitness Remapping") self.inp_fitness_remapping.addItem("Rank Scaling", "Rank Scaling") self.inp_fitness_remapping.addItem("Fitness Scaling", "Fitness Scaling") self.addRow(self.header_fitness_remapping) self.addRow("Fitness remapping", self.inp_fitness_remapping) self.addRow(QHLine()) def init_row_stop(self): self.header_stop.setFont(self.medium_font) self.header_stop.setText("Stopping Criteria") self.inp_max_iter.setMaximum(100000) self.inp_similarity.setMaximum(100000) self.inp_best_result.setMinimum(-100000) self.inp_best_result.setMaximum(100000) self.inp_average_result.setMinimum(-100000) self.inp_average_result.setMaximum(100000) self.inp_max_iter.setValue(500) self.inp_similarity.setValue(80) self.inp_best_result.setValue(-10) self.inp_average_result.setValue(-10000) self.inp_similarity_cb.setText("Similar Results") self.inp_best_result_cb.setText("Best Result") self.inp_average_result_cb.setText("Average Result") self.inp_similarity_cb.stateChanged.connect(self.cb_similarity_signal) self.inp_best_result_cb.stateChanged.connect( self.cb_best_result_signal) self.inp_average_result_cb.stateChanged.connect( self.cb_average_result_signal) self.inp_similarity_cb.setChecked(False) self.inp_best_result_cb.setChecked(False) self.inp_average_result_cb.setChecked(False) self.inp_similarity.setEnabled(True) self.inp_best_result.setEnabled(False) self.inp_best_result.setStyleSheet("background:#555") self.inp_average_result.setEnabled(False) self.inp_average_result.setStyleSheet("background:#555") self.addRow(self.header_stop) self.addRow("Max iter", self.inp_max_iter) self.addRow(self.inp_similarity_cb, self.inp_similarity) self.addRow(self.inp_best_result_cb, self.inp_best_result) self.addRow(self.inp_average_result_cb, self.inp_average_result) self.addRow(QHLine()) def init_row_selection(self): self.header_selection.setFont(self.medium_font) self.header_selection.setText("Selection") self.inp_selection_method.addItem("Fittest Half", "Fittest Half") self.inp_selection_method.addItem("Roulette Wheel", "Roulette Wheel") self.inp_selection_method.addItem("Random", "Random") self.inp_selection_method.addItem("Whole Population", "Whole Population") self.inp_elitism.setMaximum(1) self.inp_elitism.setValue(0.01) self.inp_elitism.setSingleStep(0.01) self.addRow(self.header_selection) self.addRow("Selection Method", self.inp_selection_method) self.addRow("Elitism Percentage", self.inp_elitism) self.addRow(QHLine()) def init_row_pairing(self): self.header_pairing.setFont(self.medium_font) self.header_pairing.setText("Pairing") self.inp_pairing_method.addItem("Random", "Random") self.inp_pairing_method.addItem("Roulette Wheel", "Roulette Wheel") self.inp_pairing_method.addItem("Fittest", "Fittest") self.addRow(self.header_pairing) self.addRow("Pairing Method", self.inp_pairing_method) self.addRow(QHLine()) def init_row_crossover(self): self.header_crossover.setFont(self.medium_font) self.header_crossover.setText("Crossover") self.inp_crossover_method.addItem("Intermediate", "Intermediate") self.inp_crossover_method.addItem("Line Intermediate", "Line Intermediate") self.inp_crossover_method.addItem("Heuristic", "Heuristic") self.inp_crossover_method.addItem("One point", "One point") self.inp_crossover_method.addItem("Two point", "Two point") self.inp_crossover_method.addItem("Random", "Random") self.inp_mutation_method.setCurrentIndex(2) self.inp_crossover_fraction.setMaximum(1) self.inp_crossover_fraction.setValue(0.7) self.inp_crossover_fraction.setSingleStep(0.05) self.intermediate_offset.setMaximum(20) self.intermediate_offset.setValue(1.55) self.intermediate_offset.setSingleStep(0.05) self.addRow(self.header_crossover) self.addRow("Crossover Method", self.inp_crossover_method) self.addRow("Crossover Fraction", self.inp_crossover_fraction) self.addRow("Intermediate Offset", self.intermediate_offset) self.addRow(QHLine()) def init_row_mutation(self): self.header_mutation.setFont(self.medium_font) self.header_mutation.setText("Mutation") self.inp_mutation_method.addItem("Gauss", "Gauss") self.inp_mutation_method.addItem("Random", "Random") self.inp_mutation_intensity.setMaximum(200) self.inp_mutation_intensity.setValue(2) self.inp_mutation_intensity.setDecimals(4) self.inp_mutation_intensity.setSingleStep(0.01) self.inp_mutation_intensity_final.setMaximum(200) self.inp_mutation_intensity_final.setDecimals(4) self.inp_mutation_intensity_final.setValue(0.001) self.inp_mutation_intensity_final.setSingleStep(0.5) self.addRow(self.header_mutation) self.addRow("Mutation Method", self.inp_mutation_method) self.addRow("Mutation Intensity", self.inp_mutation_intensity) self.addRow("Final Mutation Intensity", self.inp_mutation_intensity_final) self.addRow(QHLine()) def get_options(self): function = self.inp_functions_combo.currentData() num_var = self.inp_num_variables.text() if self.inp_extrema_min.isChecked(): extrem = 0 else: extrem = 1 pop_size = self.inp_pop_size.text() low_bound = self.inp_lower_bound.text() upp_bound = self.inp_upper_bound.text() max_iter = self.inp_max_iter.text() sim_results = self.inp_similarity.text() best_res = self.inp_best_result.text() average_res = self.inp_average_result.text() select_method = self.inp_selection_method.currentText() elite_percent = self.inp_elitism.text() pairing = self.inp_pairing_method.currentText() crossover_method = self.inp_crossover_method.currentText() crossover_fraction = self.inp_crossover_fraction.text() intermediate_offset = self.intermediate_offset.text() mutation_method = self.inp_mutation_method.currentText() mutation_intensity = self.inp_mutation_intensity.text() mutation_intensity_final = self.inp_mutation_intensity_final.text() fitness_remapping = self.inp_fitness_remapping.currentText() options = { "function": function, "num_var": num_var, "pop_size": int(pop_size), "max_iter": int(max_iter), "lower_bound": float(low_bound.replace(",", ".")), "upper_bound": float(upp_bound.replace(",", ".")), "find_max": extrem, "prints": 0, "average_result": float(average_res.replace(",", ".")), "best_result": float(best_res.replace(",", ".")), "similarity": float(sim_results.replace(",", ".")), "selection": select_method, "pairing": pairing, "crossover": crossover_method, "crossover_fraction": float(crossover_fraction.replace(",", ".")), "intermediate_offset": float(intermediate_offset.replace(",", ".")), # 0 mean child will be between parents, 1 mean offset is same as two parent distance "mutation": mutation_method, "mutation_intensity": float(mutation_intensity.replace(",", ".")), "mutation_intensity_final": float(mutation_intensity_final.replace(",", ".")), "elitism": float(elite_percent.replace(",", ".")), "fitness_remapping": fitness_remapping } if not self.inp_similarity_cb.isChecked(): options["similarity"] = None if not self.inp_best_result_cb.isChecked(): options["best_result"] = None if not self.inp_average_result_cb.isChecked(): options["average_result"] = None return options def cb_similarity_signal(self): if self.inp_similarity_cb.isChecked(): self.inp_similarity.setEnabled(True) self.inp_similarity.setStyleSheet("") else: self.inp_similarity.setEnabled(False) self.inp_similarity.setStyleSheet("background:#555") def cb_best_result_signal(self): if self.inp_best_result_cb.isChecked(): self.inp_best_result.setEnabled(True) self.inp_best_result.setStyleSheet("") else: self.inp_best_result.setEnabled(False) self.inp_best_result.setStyleSheet("background:#555") def cb_average_result_signal(self): if self.inp_average_result_cb.isChecked(): self.inp_average_result.setEnabled(True) self.inp_average_result.setStyleSheet("") else: self.inp_average_result.setEnabled(False) self.inp_average_result.setStyleSheet("background:#555")