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unit_tests.py
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unit_tests.py
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__author__ = 'Aaron Kaufman'
import surface_map
import graph_tools
import unittest as test
import perlin_noise
import math
import utils
import basic_map
import cellular_automata as ca
import colors
#Python unit test for graph_tools.py!
surface_map.POLAR_BIAS = 0
surface_map.ISLAND_BIAS = 0 #Don't want them interfering with my measurements.
class test_basic_map(test.TestCase):
def test_nearby_tiles(self):
map = basic_map.TileMap(10,10)
map2 = basic_map.TileMap(10,10)
tile = map.getTile(3,4)
tile.map_transition = map2
nearby = map.getNearbyTiles(tile)
self.assertTrue(map2.getTile(3,4) in nearby)
tile2 = map.getTile(0,0)
nearby2 = map2.getNearbyTiles(tile)
self.assertTrue(map2.getTile(0,9) in nearby2)
class cellular_automata_test(test.TestCase):
def test_randomize_function(self):
map = basic_map.TileMap(10,10)
gen = ca.CellularAutomataGenerator([],[],map)
gen.randomizeInitialConditions(.6)
self.assertTrue(len([tile for tile in map.getAllTiles() if tile._state == ca.ALIVE])
== 60)
def test_cellular_automata_extremes(self):
b = [x for x in range(0,20)]
s = []
map = basic_map.TileMap(5,5)
gen = ca.CellularAutomataGenerator(b,s,map)
gen.clearSimulation(ca.DEAD)
gen.run()
for tile in map.getAllTiles():
self.assertTrue(tile._state == ca.ALIVE)
gen.run()
for tile in map.getAllTiles():
self.assertTrue(tile._state == ca.DEAD)
gen.b = []
gen.run()
for tile in map.getAllTiles():
self.assertTrue(tile._state == ca.DEAD)
state_to_terrain = {ca.DEAD : "rock", ca.ALIVE : "floor"}
gen.finalizeMap(state_to_terrain)
for tile in map.getAllTiles():
self.assertTrue(tile.terrain == "rock")
gen.printSimulation()
def test_cellular_automata_ordinary(self):
b = [3]
s = [2,3]
map = basic_map.TileMap(9,9)
gen = ca.CellularAutomataGenerator(b,s,map)
gen.clearSimulation(ca.DEAD)
living_tiles = [map.getTile(3,3), map.getTile(2,3), map.getTile(4,3)]
for tile in living_tiles:
tile._state = ca.ALIVE
gen.run()
self.assertTrue(map.getTile(3,3)._state == ca.ALIVE)
self.assertTrue(map.getTile(3,4)._state == ca.ALIVE)
self.assertTrue(map.getTile(3,2)._state == ca.ALIVE)
self.assertTrue(map.getTile(4,3)._state == ca.DEAD)
self.assertTrue(map.getTile(2,3)._state == ca.DEAD)
gen.run(2) #should end with the same state it started in.
self.assertTrue(map.getTile(3,3)._state == ca.ALIVE)
self.assertTrue(map.getTile(3,4)._state == ca.ALIVE)
self.assertTrue(map.getTile(3,2)._state == ca.ALIVE)
self.assertTrue(map.getTile(4,3)._state == ca.DEAD)
self.assertTrue(map.getTile(2,3)._state == ca.DEAD)
class utils_test(test.TestCase):
def test_linear_distance_to_goal(self):
t1 = basic_map.Tile("",0,0)
t2 = basic_map.Tile("",9,0)
max_x = 10
max_y = 10
test_distance = utils.getLinearDistance(t1,t2,max_x,max_y, True, True)
self.assertEqual(test_distance, 1)
t3 = basic_map.Tile("",0,0)
t4 = basic_map.Tile("",0,9)
test_distance = utils.getLinearDistance(t3,t4,max_x,max_y, True, True)
self.assertEqual(test_distance, 1)
t5 = basic_map.Tile("",0,0)
t6 = basic_map.Tile("",0,4)
test_distance = utils.getLinearDistance(t5,t6,max_x,max_y, True, True)
self.assertEqual(test_distance, 4)
t7 = basic_map.Tile("",0,0)
t8 = basic_map.Tile("",0,5)
test_distance = utils.getLinearDistance(t7,t8,max_x,max_y, True, True)
self.assertEqual(test_distance, 5)
t9 = basic_map.Tile("",0,0)
t10 = basic_map.Tile("",0,0)
test_distance = utils.getLinearDistance(t9,t10,max_x,max_y, True, True)
self.assertEqual(test_distance, 0)
class test_world_wrap(test.TestCase):
def test_perlin_noise_wrap(self):
gen = perlin_noise.perlinNoiseGenerator()
gen.wrap_x = 3
gen.wrap_y = 3
self.assertTrue(gen.noise2d(1,0)==gen.noise2d(1,3))
self.assertAlmostEqual(gen.interpolate(1,0), gen.interpolate(1,3))
self.assertAlmostEqual(gen.interpolate(1.5,0), gen.interpolate(1.5,3))
def test_map_gen(self):
map = surface_map.SurfaceMap(80,20)
map.wrap_x = True
map.wrap_y = True
map.smoothness = 10
map.remake()
self.assertTrue(isPrettyClose(map.getTile(79,0).height, map.getTile(0,0).height),
"got these values for height: " + str(map.getTile(79,0).height) + " " +str(map.getTile(0,0).height))
self.assertTrue(isPrettyClose(map.getTile(79,19).height, map.getTile(79,0).height),
"got these values for height: " + str(map.getTile(79,0).height) + " " +str(map.getTile(0,0).height))
class test_road_builder(test.TestCase):
def test_complex_a_star_validity(self):
#now: We need to test our A* algorithm on a more complex route, requiring routing around obstacles.
map = surface_map.SurfaceMap(10,10)
map.clearMap('water')
map.getTile(0,0).terrain = 'grass'
map.getTile(0,1).terrain = 'grass'
map.getTile(0,2).terrain = 'grass'
map.getTile(0,3).terrain = 'grass'
map.getTile(0,4).terrain = 'grass'
map.getTile(1,4).terrain = 'grass'
map.getTile(2,4).terrain = 'grass'
map.getTile(3,4).terrain = 'grass'
map.getTile(4,4).terrain = 'grass'
map.getTile(5,4).terrain = 'grass'
map.getTile(5,3).terrain = 'grass'
map.getTile(5,2).terrain = 'grass'
map.getTile(5,1).terrain = 'grass'
map.getTile(5,0).terrain = 'grass'
A2 = map.getTile(5,0)
B2 = map.getTile(0,0)
A2.city = "A"
B2.city = "B"
astar2 = surface_map._AStarNodeMap(map, A2, B2)
result2 = astar2.getAStarResult()
self.assertTrue(map.getTile(4,4) in result2)
self.assertTrue(len(result2) ==14)
invalid_tiles = [tile for tile in result2 if tile.terrain == 'water']
self.assertTrue(len(invalid_tiles) == 0)
def test_a_star_correctness(self):
map = surface_map.SurfaceMap(7,7)
map.clearMap('water')
map.getTile(0,0).terrain = 'grass'
map.getTile(0,1).terrain = 'grass'
map.getTile(0,2).terrain = 'grass'
map.getTile(1,2).terrain = 'grass'
map.getTile(2,2).terrain = 'grass'
map.getTile(3,2).terrain = 'grass'
map.getTile(4,2).terrain = 'grass'
#below should not get traversed (this is the long way around)
map.getTile(0,3).terrain = 'grass'
map.getTile(0,4).terrain = 'grass'
map.getTile(1,4).terrain = 'grass'
map.getTile(2,4).terrain = 'grass'
map.getTile(3,4).terrain = 'grass'
map.getTile(4,4).terrain = 'grass'
map.getTile(5,4).terrain = 'grass'
map.getTile(5,3).terrain = 'grass'
#above should not be traversed
map.getTile(5,2).terrain = 'grass'
map.getTile(5,1).terrain = 'grass'
map.getTile(5,0).terrain = 'grass'
A2 = map.getTile(5,0)
B2 = map.getTile(0,0)
A2.city = "A"
B2.city = "B"
astar2 = surface_map._AStarNodeMap(map, A2, B2)
result2 = astar2.getAStarResult()
self.assertTrue(map.getTile(4,4) not in result2)
self.assertTrue(map.getTile(5,2) in result2, [tile.x.__str__() + ", " + tile.y.__str__() for tile in result2])
self.assertTrue(map.getTile(3,2) in result2)
self.assertTrue(len(result2) ==10)
invalid_tiles = [tile for tile in result2 if tile.terrain == 'water']
self.assertTrue(len(invalid_tiles) == 0)
def test_simple_a_star(self):
#Now, a test of the AStarNodeMap in the most basic case.
map = surface_map.SurfaceMap(10,10)
map.clearMap('water')
map.getTile(0,0).terrain = 'grass'
map.getTile(0,1).terrain = 'grass'
map.getTile(0,2).terrain = 'grass'
A = map.getTile(0,2)
B = map.getTile(0,0)
A.city = "A"
B.city = "B"
map.getTile(2,2).terrain = 'grass'
map.getTile(2,2).city = "C"
astar = surface_map._AStarNodeMap(map, A, B)
result = astar.getAStarResult()
self.assertTrue(result[0] == B)
self.assertTrue(result[1].terrain == 'grass')
self.assertTrue(result[2] == A)
def test_contiguous_city_tiles(self):
#FIRST: Contiguous city tile test.
#Question asked: Does our algorithm properly determine what cities are connectable in the most basic case?
map = surface_map.SurfaceMap(4,4)
map.clearMap('water')
map.getTile(0,0).terrain = 'grass'
map.getTile(0,1).terrain = 'grass'
map.getTile(0,2).terrain = 'grass'
A = map.getTile(0,2)
B = map.getTile(0,0)
A.city = "A"
B.city = "B"
map.getTile(2,2).terrain = 'grass'
map.getTile(2,2).city = "C"
lis = surface_map.findJoinableCitySets(map)
num_groups = 0
while (lis):
cur = lis.pop()
if (len(cur) == 2): #There needs to be one list of length two containing A and B.
t = cur.pop()
num_groups+=1
self.assertTrue(t.city == 'A' or t.city == 'B')
elif (len(cur) == 1):
t = cur.pop()
self.assertTrue(t.city == 'C')
num_groups+=1
def test_road_building(self):
map = surface_map.SurfaceMap(10,10)
map.clearMap('water')
map.getTile(0,0).city = 'B'
map.getTile(0,0).terrain = 'grass'
map.getTile(0,1).terrain = 'grass'
map.getTile(0,2).terrain = 'grass'
map.getTile(0,3).terrain = 'grass'
map.getTile(0,4).terrain = 'grass'
map.getTile(1,4).terrain = 'grass'
map.getTile(2,4).terrain = 'grass'
map.getTile(3,4).terrain = 'grass'
map.getTile(4,4).terrain = 'grass'
map.getTile(5,4).terrain = 'grass'
map.getTile(5,3).terrain = 'grass'
map.getTile(5,2).terrain = 'grass'
map.getTile(5,1).terrain = 'grass'
map.getTile(5,0).terrain = 'grass'
map.getTile(5,0).city = 'A'
map.drawRoadsBetweenCities()
self.assertTrue(map.getTile(4,4).road is not None)
self.assertTrue(map.getTile(5,0).road is not None)
self.assertTrue(map.getTile(0,0).road is not None)
class test_perlin_noise(test.TestCase):
def test_perlin_noise(self):
gen = perlin_noise.perlinNoiseGenerator()
a = gen.noise2d(2,3)
b = gen.noise2d(2,3)
c = gen.noise2d(3,2)
self.assertTrue(a==b)
self.assertTrue(a!=c)
gen2 = mockPerlinNoise()
self.assertTrue(gen2.noise2d(3,3) != gen.noise2d(3,3))
point = 1,1.4
this_one = gen.interpolate(*point)
that_one = gen.interpolate(*point)
a_different_one = gen.interpolate(30,8.3)
self.assertTrue(this_one == that_one)
self.assertTrue(this_one != a_different_one)
a_mid_point = 30.5,30.5
x,y=a_mid_point
a = math.floor(x),math.floor(y)
b = math.floor(x),math.ceil(y)
c = math.ceil(x), math.floor(y)
d = math.ceil(x), math.ceil(y)
outer_points = a,b,c,d
noise = [gen.noise2d(x,y) for x,y in outer_points]
average = sum(noise)/float(len(noise))
calculated = gen.interpolate(30.5,30.5)
#Algorithm requires that a point midway between all nearest vertices have a height equal to that
#of all points.
self.assertTrue(math.fabs(average - calculated) < 0.001)
rounded_point = 30,30
#Checks that the noise generated for that point is the same as the interpolated value for that point.
self.assertTrue(gen.interpolate(*rounded_point) == gen.noise2d(*rounded_point))
def test_wrapping_functionality(self):
gen = mockPerlinNoise()
gen.wrap_x = 10
gen.wrap_y = 10
a = gen.noise2d(2,3)
b = gen.noise2d(12,3)
c = gen.noise2d(2,13)
d = gen.noise2d(12,13)
self.assertEqual(a,b)
self.assertEqual(c,d)
self.assertEqual(a,c)
e = gen.noise2d(9,1)
f = gen.noise2d(10,1)
self.assertTrue(isBetween(e, f, gen.interpolate(9.5,1)))
self.assertTrue(isBetween(gen.noise2d(9,1), gen.noise2d(0,1), gen.interpolate(9.5,1)))
self.assertTrue
class test_spanning_tree_generation(test.TestCase):
def test_basic_tree(self):
t1 = basic_map.Tile('grass', 1,3)
t2 = basic_map.Tile('grass', 2,10)
t3 = basic_map.Tile('grass', 2,5)
tiles = [t1,t2,t3]
spanning_tree = graph_tools.getMinimumSpanningTree(tiles)
self.assertTrue(hasPairTuple(t1, t3, spanning_tree), str(spanning_tree))
self.assertTrue(hasPairTuple(t2, t3, spanning_tree), str(spanning_tree))
self.assertTrue(not hasPairTuple(t1, t2, spanning_tree), str(spanning_tree))
def test_large_tree(self):
t1 = basic_map.Tile('grass', 1,3)
t2 = basic_map.Tile('grass', 2,10)
t3 = basic_map.Tile('grass', 2,5)
t4 = basic_map.Tile('grass', 3,15)
t5 = basic_map.Tile('grass', 2.1,20)
t6 = basic_map.Tile('grass', 2.5,35)
tiles = [t1,t2,t3,t4,t5,t6]
spanning_tree = graph_tools.getMinimumSpanningTree(tiles)
self.assertTrue(hasPairTuple(t1, t3, spanning_tree), str(spanning_tree))
self.assertTrue(hasPairTuple(t2, t3, spanning_tree), str(spanning_tree))
self.assertTrue(hasPairTuple(t2, t4, spanning_tree), str(spanning_tree))
self.assertTrue(hasPairTuple(t4, t5, spanning_tree), str(spanning_tree))
self.assertTrue(hasPairTuple(t5, t6, spanning_tree), str(spanning_tree))
self.assertTrue(len(spanning_tree)==5)
def hasPairTuple(a, b, container):
return ((a,b) in container or (b,a) in container)
def isBetween(a,b, tested_value):
if (a > b):
a,b = b,a
if a < tested_value < b:
return True
else:
return False
class mockPerlinNoise(perlin_noise.perlinNoiseGenerator):
def noise2d(self, x : int, y : int):
if (self.wrap_x is not None):
x = utils.modu(x, self.wrap_x)
if (self.wrap_y is not None):
y = utils.modu(y, self.wrap_y)
return x*100 + y
def isPrettyClose(a,b):
return a-b < 7 #magic number for anything 1-100