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()