def initialise(self):
i = 0
self.add_menu_item(
MenuItem(i, "Exit current menu").set_as_exit_option())
i += 1
self.add_menu_item(
MenuItem(i, "Process Learning Data",
lambda: self.process_learning_data()))
def initialise(self):
self.add_menu_item(MenuItem(0, "Exit menu").set_as_exit_option())
self.add_menu_item(MenuItem(1, "Demo sub menu", menu=DemoSubMenu()))
self.add_menu_item(
MenuItem(2, "Show hidden menu item",
lambda: self.__should_show_hidden_menu__()))
self.add_hidden_menu_item(
MenuItem(3, "Hidden menu item",
lambda: print("I was a hidden menu item")))
def initialise(self):
self.add_menu_item(MenuItem(0, "Exit menu").set_as_exit_option())
self.add_menu_item(
MenuItem(
1, "Stop",
lambda: [print("Stop"),
self.m.enable(),
self.m.disable()]))
self.add_menu_item(
MenuItem(
2, "Forward", lambda: [
print("move forward"),
self.m.move_forward(infinite_move),
print("moving")
]))
self.add_menu_item(
MenuItem(
3, "Backward", lambda: [
print("move backward"),
self.m.move_backward(infinite_move),
print("moving")
]))
self.add_menu_item(
MenuItem(
4, "Left", lambda: [
print("move left"),
self.m.slide_left(infinite_move),
print("moving")
]))
self.add_menu_item(
MenuItem(
5, "Right", lambda: [
print("move right"),
self.m.slide_right(infinite_move),
print("moving")
]))
self.add_menu_item(
MenuItem(
6, "Concerning Left", lambda: [
print("concerning left"),
self.m.concerning_left(infinite_move),
print("moving")
]))
self.add_menu_item(
MenuItem(
7, "Concerning Right", lambda: [
print("concerning right"),
self.m.concerning_right(infinite_move),
print("moving")
]))
self.add_menu_item(
MenuItem(
8, "Rotate Right", lambda: [
print("rotate right"),
self.m.rotate_right(infinite_move),
print("moving")
]))
def initialise(self):
i = 0
self.add_menu_item(
MenuItem(i, "Exit current menu").set_as_exit_option())
i += 1
self.add_menu_item(
MenuItem(i, "Load Test Data", lambda: self.load_test_data()))
i += 1
self.add_menu_item(
MenuItem(i, "Load New Data", lambda: self.load_new_data()))
i += 1
self.add_menu_item(
MenuItem(i, "Pull Team Data", lambda: self.pull_team_data()))
i += 1
self.add_menu_item(
MenuItem(i, "Save to Database", lambda: self.save_to_database()))
def initialise(self):
self.add_menu_item(MenuItem(0, "Exit menu").set_as_exit_option())
self.add_menu_item(MenuItem(1, "Stop", lambda: [print("Stop"), self.m.stop()]))
self.add_menu_item(MenuItem(2, "Forward",
lambda: [print("move forward"),
self.m.move_forward(),
print("moving")
]))
self.add_menu_item(MenuItem(3, "Backward",
lambda: [print("move backward"),
self.m.move_backward(),
print("moving")
]))
self.add_menu_item(MenuItem(4, "Left",
lambda: [print("move left"),
self.m.slide_left(),
print("moving")
]))
self.add_menu_item(MenuItem(5, "Right",
lambda: [print("move right"),
self.m.slide_right(),
print("moving")
]))
self.add_menu_item(MenuItem(6, "Rotate Right",
lambda: [print("rotate right"),
self.m.rotate_left(),
print("moving")
]))
def __init__(self, station_list=None):
super().__init__("Radio Player Menu")
if station_list is None:
station_list = []
for i in range(len(station_list)):
if i < maxitems(): # The very first item is the exit option, so not "<=".
self.add_menu_item(
MenuItem(
i,
"{:<30}".format(station_list[i]["name"][:30]) + " " + # force 35 character fixed length
"{:<5}".format(station_list[i]["codec"][:5]) + " " + # force 5 character fixed length
"{:<5}".format(station_list[i]["bitrate"][:5]) + " " +
station_list[i]["url"],
lambda url=station_list[i]["url"]: subprocess.run([player(), options(), url])
)
)
else:
break
def initialise(self):
self.add_menu_item(MenuItem(100, "Exit menu").set_as_exit_option())
self.add_menu_item(
MenuItem(101, "Display map",
lambda: print(self.map.original_matrix)))
self.add_menu_item(
MenuItem(102, "Solve using B&B",
self.create_handler(self.atsp.branch_and_bound)))
self.add_menu_item(
MenuItem(
103, "Find first solution using B&B",
self.create_handler(
self.atsp.first_branch_and_bound_solution)))
self.add_menu_item(
MenuItem(104, "Solve using brute force",
self.create_handler(self.atsp.brute_force)))
self.add_menu_item(
MenuItem(105, "Solve using simulated annealing", self.sa_menu))
self.add_menu_item(
MenuItem(106, "Solve using genetic algorithm", self.ga_menu))
def initialise(self):
self.add_menu_item(MenuItem(0, "Exit menu").set_as_exit_option())
self.add_menu_item(MenuItem(1, "Forward", print("move forward")))
self.add_menu_item(
MenuItem(2, "Backward", lambda: print("move backward")))
def initialise(self):
self.add_menu_item(
MenuItem(0, "Exit current menu").set_as_exit_option())
self.add_menu_item(
MenuItem(1, "Demo sub menu item",
lambda: print("Demo sub menu item selected")))
def initialise(self):
self.add_menu_item(MenuItem(maxitems(), "Exit menu").set_as_exit_option())
def initialise(self):
self.add_menu_item(MenuItem(0, "Exit menu").set_as_exit_option())
self.add_menu_item(
MenuItem(1, "Get Player Data ", menu=PlayerDataSubMenu()))
self.add_menu_item(
MenuItem(2, "Machine Learning", menu=MachineLearingSubMenu()))
def initialise(self):
self.add_menu_item(MenuItem(100, "退出").set_as_exit_option())
self.add_menu_item(MenuItem(101, "查询学生", lambda: search()))
self.add_menu_item(MenuItem(102, "统计班级学生数", lambda: student()))
self.add_menu_item(MenuItem(103, "查询班级中选课情况", lambda: status()))