def run_test(input_data):
result = ""
try:
# f = getattr(lab, input_data["function"])
# result = f(**input_data["inputs"])
# Run student code
lab.init(input_data['width'], input_data['height'],
input_data['ballPosition'], input_data['ballVelocity'],
input_data['blocks'])
for m, s in enumerate(input_data['steps']):
st = lab.step(s['time'], input_data['paddle1X'],
input_data['paddle2X'], input_data['paddle_offset'],
input_data['paddle_radius'])
if not close(
st, s['winner']
): # TODO: Ideally, this should happen in the reducer. This is sketchy because a clever student has access to the expected values! In this case, good enough because we expose all test cases anyway...
test_okay = False
raise Exception(
"Incorrect winner state at timestep {} got {} expected {}".
format(str(m), str(st), str(s['winner'])))
tocheck = CanvasToList()
lab.draw(tocheck, input_data['paddle1X'], input_data['paddle2X'],
input_data['paddle_offset'], input_data['paddle_radius'])
result = tocheck.objects()
except:
result = traceback.format_exc()
return result
def init(input_data):
global canvas
canvas = Canvas()
return lab.init( input_data['width'],
input_data['height'],
input_data['ball_position'],
input_data['ball_velosity'],
input_data['blocks'] )
def run_test(input_data):
result = ""
try:
# f = getattr(lab, input_data["function"])
# result = f(**input_data["inputs"])
# Run student code
lab.init( input_data['width'],
input_data['height'],
input_data['ballPosition'],
input_data['ballVelocity'],
input_data['blocks'] )
for m,s in enumerate(input_data['steps']):
st = lab.step( s['time'],
input_data['paddle1X'],
input_data['paddle2X'],
input_data['paddle_offset'],
input_data['paddle_radius'] )
if not close(st, s['winner']): # TODO: Ideally, this should happen in the reducer. This is sketchy because a clever student has access to the expected values! In this case, good enough because we expose all test cases anyway...
test_okay = False
raise Exception("Incorrect winner state at timestep {} got {} expected {}".format(str(m),str(st),str(s['winner'])) )
tocheck = CanvasToList()
lab.draw( tocheck,
input_data['paddle1X'],
input_data['paddle2X'],
input_data['paddle_offset'],
input_data['paddle_radius'] )
result = tocheck.objects()
except:
result = traceback.format_exc()
return result
def init(input_data):
global canvas
canvas = Canvas()
return lab.init(input_data['width'], input_data['height'],
input_data['ball_position'], input_data['ball_velosity'],
input_data['blocks'])