def test_25_Colours(self):
inp = Map("images/25colours.ppm")
# Currently being run with your solution... But this
# will be replaced with a call to mine.
findPath(inp, all_colour_speed)
# Outputs both the path and gradient along it.
# Uncomment these out if you want to use them
inp.outputPath()
def test_Gradient_One(self):
inp = Map("images/grad.ppm")
cost = findPath(inp, hue_speed)
inp.outputPath()
self.assertAlmostEqual(cost, 2.5939828, 5)
def test_Maze_Big(self):
inp = Map("images/bigmaze.ppm")
cost = findPath(inp, white_speed)
inp.outputPath()
self.assertAlmostEqual(cost, 19.53492146, 5)
def test_Maze(self):
inp = Map("images/maze.ppm")
cost = findPath(inp, white_speed)
inp.outputPath()
self.assertAlmostEqual(cost, 28.09135288, 5)
def test_Two(self):
inp = Map("images/spiral.ppm")
cost = findPath(inp, hue_speed)
inp.outputPath()
self.assertAlmostEqual(cost, 14.49090829, 5)
def test_One(self):
inp = Map("images/water.ppm")
cost = findPath(inp, hue_speed)
inp.outputPath()
self.assertAlmostEqual(cost, 1.601784327, 5)
def test_Gradient_Two(self):
inp = Map("images/grad.ppm")
cost = findPath(inp, white_speed)
inp.outputPath()
self.assertAlmostEqual(cost, 5.8539818, 5)