def main(): l = [1, 3, 2, 5, -1, 0, 4, 1] # print(merge_sort.sort(l)) # print(quick_sort.sort(l)) # print(fibonacci.get(100)) # print(fibonacci.get(99)) # print(fibonacci.get(10)) # print(min_num_changes.find_change2(7, [1,3,4, 5, 10])) # print(min_num_changes.find_change(31, [1, 5, 10, 15, 16])) # print(min_num_changes.find_change(10, [1, 2])) # print(min_num_changes.find_change(12, [1, 5])) # print(min_num_changes.find_change(12, [2, 5])) # print(min_num_changes.find_change2(12, [1, 5])) # print(min_num_changes.find_change2(31, [1, 5, 11, 15, 16])) my_bicycle = bicycle.Bicycle(20, 'blue') # my_bicycle.wheel_size = 26 # my_bicycle.color = 'red' # my_bicycle.move(30) # my_bicycle.turn('left') # my_bicycle.stop() # # folding_bicycle = bicycle.FoldingBicycle(27, 'red', 'unfolding') # folding_bicycle.move(20) # folding_bicycle.fold() # folding_bicycle.unfold() pandas_training.p()
def __init__(self): QtGui.QMainWindow.__init__(self) Ui_MainWindow.__init__(self) self.setupUi(self) self.bike = bicycle.Bicycle() self.speedometer = speedometer.Speedometer(self.bike) self.caloriemeter = caloriemeter.Caloriemeter(self.bike) self.rpm_input.editingFinished.connect(self.update_rpms)
def __init__(self): wayne = car.Car("Ford Pinto") garth = bicycle.Bicycle("BMX") wayne.setColor("Blue") print("Wayne's " + wayne.getName() + " is " + wayne.getColor()) wayne.start() print ("Wayne's speed is ", wayne.getSpeed()) garth.pedal() print("Garth's speed is " , garth.getSpeed()) garth.pedal() print("Garth's speed is " , garth.getSpeed()) garth.brake() print("Garth's speed is " , garth.getSpeed()) print(wayne.getName()) print(garth.getName())
def test_a_bicycle_is_working(self): bicycle = bike.Bicycle() self.assertTrue(bicycle.is_working())
def test_bicycle_is_instance_of_Bicycle(self): bicycle = bike.Bicycle() self.assertIsInstance(bicycle, bike.Bicycle)
import bicycle import matplotlib.pyplot as plt """ Simulate a robot in random path then draw the path read direct from the odometry with no filter""" robot = bicycle.Bicycle(1, 20) #create a robot robot.sim_RandomPath(1, 1000) #run in a random path #show the paths robot.show() plt.show()