def hw1_bigexample():
colors = [['red', 'green', 'green', 'red', 'red'],
['red', 'red', 'green', 'red', 'red'],
['red', 'red', 'green', 'green', 'red'],
['red', 'red', 'red', 'red', 'red']]
measurements = ['green', 'green', 'green', 'green', 'green']
motions = [[0, 0], [0, 1], [1, 0], [1, 0], [0, 1]]
sensor_right = 0.7
p_move = 0.8
expected = [[
0.011059807427972008, 0.02464041578496803, 0.067996628067859166,
0.044724870458121582, 0.024651531216653717
],
[
0.0071532041833209815, 0.01017132648170589,
0.086965960026646888, 0.079884299659980826,
0.0093506685084371859
],
[
0.0073973668861116709, 0.0089437306704527025,
0.11272964670259773, 0.3535072295521271,
0.040655492078276761
],
[
0.0091065058056464965, 0.0071532041833209815,
0.014349221618346571, 0.043133291358448934,
0.036425599329004729
]]
actual = homework1.sense_and_move(colors, measurements, sensor_right,
motions, p_move)
print expected
print actual
test.collection2d_assert(expected, actual)
print 'success hw1_bigexample'
return
def hw1_2red_sensor_move_sense():
colors = [['green', 'green', 'green'], ['green', 'red', 'red'],
['green', 'green', 'green']]
measurements = ['red', 'red']
motions = [[0, 0], [0, 1]]
sensor_right = 1.0
p_move = 1.0
expected = [[0.0, 0.0, 0.0], [0.0, 0.0, 1.0], [0.0, 0.0, 0.0]]
actual = homework1.sense_and_move(colors, measurements, sensor_right,
motions, p_move)
print expected
print actual
test.collection2d_assert(expected, actual)
print 'success hw1_2red_sensor_move_sense'
return
def hw1_2red_inaccurate_sensor_inaccurate_move():
colors = [['green', 'green', 'green'], ['green', 'red', 'red'],
['green', 'green', 'green']]
measurements = ['red', 'red']
motions = [[0, 0], [0, 1]]
sensor_right = 0.8
p_move = 0.5
expected = [[0.028, 0.028, 0.028], [0.072, 0.289, 0.463],
[0.028, 0.028, 0.028]]
actual = homework1.sense_and_move(colors, measurements, sensor_right,
motions, p_move)
print expected
print actual
test.collection2d_assert(expected, actual)
print 'success hw1_2red_inaccurate_sensor_inaccurate_move'
return
