def test_GenerosityPole(self):
curstate1 = State({"f1": 100}, {"i1": 0})
desState1 = State({'f1': 1000}, {'i1': 1000})
test_polelow = GenerosityPole(-1, 1)
test_polemiddle = GenerosityPole(0, 1)
test_polehigh = GenerosityPole(1, 1)
move1 = Move({"f1": 100, "f2": 0}, {"i1": 1}, [], 1, None) # most expensive
move2 = Move({"f1": 75, "f2": 0}, {"i1": 1}, [], 1, None)
move3 = Move({"f1": 45, "f2": 0}, {"i1": 1}, [], 1, None)
move4 = Move({"f1": 0, "f2": 0}, {"i1": 1}, [], 1, None)
test_MST1 = MST(curstate1, desState1, [move1, move2, move3, move4], 2)
test_MST2 = MST(curstate1, desState1, [move1, move2, move3, move4], 2)
test_MST3 = MST(curstate1, desState1, [move1, move2, move3, move4], 2)
actorlow = Actor([test_polelow], curstate1, None, None, .05, None, None, [], [])
actormiddle = Actor([test_polemiddle], curstate1, None, None, .05, None, None, [], [])
actorhigh = Actor([test_polehigh], curstate1, None, None, .05, None, None, [], [])
low_mst = test_polelow.actOnMST(test_MST1, actorlow)
mid_mst = test_polemiddle.actOnMST(test_MST2, actormiddle)
high_mst = test_polehigh.actOnMST(test_MST3, actorhigh)
self.assertTrue(len(low_mst.getMoves()) == 1)
self.assertTrue(len(high_mst.getMoves()) == 4)
self.assertTrue(len(mid_mst.getMoves()) == 2)
self.assertTrue(True)
if __name__ == '__main__':
unittest.main()
def test_EmotionalPole(self):
curstate1 = State({"f1": 100}, {"i1": 0})
desState1 = State({'f1': 1000}, {'i1': 1000})
test_polelow = EmotionalPole(-.81, 1)
test_polemiddle = EmotionalPole(.5, 1)
test_polehigh = EmotionalPole(1, 1)
move1 = Move({"f1": 0}, {"i1": 0}, [], .5, 'Engage in diplomatic cooperation') # .6-.8
move2 = Move({"f1": 0}, {"i1": 0}, [], .5, 'Appeal') # 4-6
move3 = Move({"f1": 0}, {"i1": 0}, [], .5, 'Build economic infrastructure') # .5-.7
move4 = Move({"f1": 0}, {"i1": 0}, [], .5, 'Assault') # -.2
move5 = Move({"f1": 0}, {"i1": 0}, [], .5, 'Coerce') # -.8
test_MST1 = MST(curstate1, desState1, [move1, move2, move3, move4, move5], 2)
test_MST2 = MST(curstate1, desState1, [move1, move2, move3, move4, move5], 2)
test_MST3 = MST(curstate1, desState1, [move1, move2, move3, move4, move5], 2)
actorlow = Actor([test_polelow], curstate1, None, None, .05, None, None, [], [])
actormiddle = Actor([test_polemiddle], curstate1, None, None, .05, None, None, [], [])
actorhigh = Actor([test_polehigh], curstate1, None, None, .05, None, None, [], [])
low_mst = test_polelow.actOnMST(test_MST1, actorlow)
mid_mst = test_polemiddle.actOnMST(test_MST2, actormiddle)
high_mst = test_polehigh.actOnMST(test_MST3, actorhigh)
self.assertTrue(low_mst.containsMove(move5))
self.assertFalse(low_mst.containsMove(move1) and low_mst.containsMove(move2) and low_mst.containsMove(
move3) and low_mst.containsMove(move4))
self.assertFalse(mid_mst.containsMove(move1))
self.assertFalse(mid_mst.containsMove(move4))
self.assertFalse(mid_mst.containsMove(move5))
self.assertTrue(mid_mst.containsMove(move2))
self.assertFalse(mid_mst.containsMove(move3))
def test_RiskPole(self):
curstate1 = State({"f1": 100, "f2": 0}, {"i1": 0})
desState1 = State({'f1': 1000}, {'i1': 1000})
move1 = Move({"f1": 0, "f2": 0}, {"i1": 1}, [], 1, None)
move2 = Move({"f1": 50, "f2": 0}, {"i1": 2}, [], 1, None)
move3 = Move({"f1": 100, "f2": 0}, {"i1": 3}, [], 1, None)
move4 = Move({"f1": 200, "f2": 0}, {"i1": 3}, [], 1, None)
test_MST1 = MST(curstate1, desState1, [move1, move2, move3, move4], 2)
test_MST2 = MST(curstate1, desState1, [move1, move2, move3, move4], 2)
test_MST3 = MST(curstate1, desState1, [move1, move2, move3, move4], 2)
test_polelow = RiskPole(-1, 1)
test_polemiddle = RiskPole(0, 1)
test_polehigh = RiskPole(1, 1)
actorlow = Actor([test_polelow], curstate1, None, None, 0.05, None, None, [], None) #
actormiddle = Actor([test_polemiddle], curstate1, None, None, 0.05, None, None, [], None) #
actorhigh = Actor([test_polehigh], curstate1, None, None, 0.05, None, None, [], None)
low_mst = test_polelow.actOnMST(test_MST1, actorlow) # contain only move1
mid_mst = test_polemiddle.actOnMST(test_MST2, actormiddle) # containmove1 and 2
high_mst = test_polehigh.actOnMST(test_MST3, actorhigh) # contain 123
self.assertTrue(low_mst.containsMove(move1))
self.assertFalse(low_mst.containsMove(move2))
self.assertFalse(low_mst.containsMove(move3))
self.assertFalse(low_mst.containsMove(move4))
self.assertTrue(mid_mst.containsMove(move1))
self.assertTrue(mid_mst.containsMove(move2))
self.assertFalse(mid_mst.containsMove(move3))
self.assertFalse(mid_mst.containsMove(move4))
self.assertTrue(high_mst.containsMove(move1))
self.assertTrue(high_mst.containsMove(move2))
self.assertTrue(high_mst.containsMove(move3))
self.assertFalse(high_mst.containsMove(move4))
def test_rationalityPole(self):
move1 = Move({"f1": 1}, {"i1": 1}, [], 0, None)
move2 = Move({"f1": 2}, {"i1": 2}, [], .45, None)
move3 = Move({"f1": 3}, {"i1": 3}, [], .95, None)
curstate1 = State({'f1': 0}, {'i1': 0})
desState1 = State({'f1': 100}, {'i1': 100})
test_MST1 = MST(curstate1, desState1, [move1, move2, move3], 2)
test_MST2 = MST(curstate1, desState1, [move1, move2, move3], 2)
test_MST3 = MST(curstate1, desState1, [move1, move2, move3], 2)
test_polelow = RationalityPole(-1, 1)
test_polemiddle = RationalityPole(0, 1)
test_polehigh = RationalityPole(1, 1)
actorlow = Actor([test_polelow], None, None, None, 0.05, None, None, [], None) # will remove no moves
actormiddle = Actor([test_polemiddle], None, None, None, 0.05, None, None, [], None) # will remove move1
actorhigh = Actor([test_polehigh], None, None, None, 0.05, None, None, [], None) # will remove move1, move2
low_mst = test_polelow.actOnMST(test_MST1, actorlow)
self.assertTrue(low_mst.containsMove(move1) and low_mst.containsMove(move2) and low_mst.containsMove(move3))
mid_mst = test_polemiddle.actOnMST(test_MST2, actormiddle)
print("middle test_MST")
self.assertTrue(mid_mst.containsMove(move2))
self.assertFalse(mid_mst.containsMove(move1))
self.assertTrue(mid_mst.containsMove(move3))
high_mst = test_polehigh.actOnMST(test_MST3, actorhigh)
self.assertTrue(high_mst.containsMove(move3))
self.assertFalse(high_mst.containsMove(move1))
self.assertFalse(high_mst.containsMove(move2))
def testMSTremove(self):
curstate1 = State({'f1': 0}, {'i1:': 0})
desState1 = State({'f1': 100}, {'i1:': 100})
curState2 = State({'f1': 0}, {'i1:': 0})
desState2 = State({'f1': 0}, {'i1:': 0})
move1 = Move({"f1": 1}, {'i1:': 0}, [], .5, None)
move2 = Move({"f1": 2}, {'i1:': 0}, [], .5, None)
move0 = Move({"f1": 0}, {'i1:': 0}, [], 0, None)
moves = [move1, move2, move0]
test_mst1 = MST(curstate1, desState1, moves, 2)
print(len(test_mst1.getMoves()))
G = test_mst1.graph
edges = [
G[test_mst1.currentState][childNode]['object']
for childNode in test_mst1.graph.neighbors(test_mst1.currentState)
]
self.assertTrue(move0 in edges)
self.assertTrue(test_mst1.containsMove(move0))
test_mst1.removeMove(move0)
G1 = test_mst1.graph
# edges = G1.edges()
# edges = [G1[node1][node2]['object'] for (node1, node2) in edges]
edges = [
G1[test_mst1.currentState][childNode]['object']
for childNode in test_mst1.graph.neighbors(test_mst1.currentState)
]
self.assertFalse(move0 in edges)
self.assertFalse(test_mst1.containsMove(move0))
def map_moves(moves):
move_map = {}
IO_string_set = set()
for move in moves:
IO_list = [IO_random_sampler(x) for x in
[move["warmth"],
move["affinity"], move["legitimacy"],
move["dominance"], move["competence"]]]
IO_string = list_to_string(IO_list)
while IO_string in IO_string_set:
IO_list = [IO_random_sampler(x) for x in
[move["warmth"],
move["affinity"], move["legitimacy"],
move["dominance"], move["competence"]]]
IO_string = list_to_string(IO_list)
IO_string_set.add(IO_string)
IO_string = list_to_string(IO_list)
# TODO fill category in csv file. Random category for now. Blocks Emotional pole from working correctly.
move_map[IO_string] = Move(move["code"],
move["move_name"],
move["move_type"],
IO_list,
move["ph"],
[resource.strip() for resource in move["low_resources"].replace(",", " ").split()],
[resource.strip() for resource in move["med_resources"].replace(",", " ").split()],
[resource.strip() for resource in move["high_resources"].replace(",", " ").split()],
move["infrastructure"],
category='Build political infrastructure')
return move_map
def test_GenerosityPole(self):
test_polelow = GenerosityPole(-1, 1)
test_polemiddle = GenerosityPole(0, 1)
test_polehigh = GenerosityPole(1, 1)
actorlow = Actor([test_polelow], None, None, None, .05, None, None, [],
[])
actormiddle = Actor([test_polemiddle], None, None, None, .05, None,
None, [], [])
actorhigh = Actor([test_polehigh], None, None, None, .05, None, None,
[], [])
move1 = Move({
"test1": 100,
"test2": 100,
"test3": 100
}, None, [], .5, None)
move2 = Move({
"test1": 200,
"test2": 200,
"test3": 200
}, None, [], .5, None)
move3 = Move({"test1": 0, "test2": 0, "test3": 0}, None, [], .5, None)
move4 = Move({
"test1": 1000,
"test2": 1000,
"test3": 1000
}, None, [], .5, None)
move5 = Move({
"test1": 500,
"test2": 1000,
"test3": 1000
}, None, [], .5, None)
moves = [move1, move2, move3, move4, move5]
moveslow = test_polelow.actOnList(moves, actorlow)
movesmiddle = test_polemiddle.actOnList(moves, actormiddle)
moveshigh = test_polehigh.actOnList(moves, actorhigh)
self.assertTrue(move3 in moveslow)
self.assertTrue(len(moveslow) == 1)
self.assertTrue(len(moveshigh) == 5)
self.assertTrue((move4 not in movesmiddle))
def test_EmotionalPole(self):
# need to make categories and see if they add moves
# pretty much only need to make actors, poles, and moves w only categories
test_polelow = EmotionalPole(-.21, 1)
test_polemiddle = EmotionalPole(0, 1)
test_polehigh = EmotionalPole(.6, 1)
actorlow = Actor([test_polelow], None, None, None, 0.05, None, None,
[], [])
actormiddle = Actor([test_polemiddle], None, None, None, 0.05, None,
None, [], [])
actorhigh = Actor([test_polehigh], None, None, None, 0.05, None, None,
[], [])
move1 = Event(
None, None,
Move({"t1": 0}, None, [], .5, 'Engage in diplomatic cooperation'),
0)
move2 = Event(
None, None,
Move({"t1": 0}, None, [], .5, 'Engage in in material cooperation'),
0)
move3 = Event(None, None, Move({"t1": 0}, None, [], .5, 'Appeal'),
0) # .4-.6
move4 = Event(
None, None,
Move({"t1": 0}, None, [], .5, 'Build economic infrastructure'), 0)
move5 = Event(
None, None,
Move({"t1": 0}, None, [], .5, 'Build energy infrastructure'), 0)
move6 = Event(
None, None,
Move({"t1": 0}, None, [], .5, 'Build military infrastructure'), 0)
moveneg = Event(None, None, Move({"t1": 0}, None, [], .5, 'Assault'),
0)
moveneg2 = Event(None, None, Move({"t1": 0}, None, [], .5, 'Coerce'),
0)
history = [move1, move2, move3, move4, move5, move6, moveneg, moveneg2]
actorlow.history = history
actormiddle.history = history
actorhigh.history = history
moves = []
moveslow = test_polelow.actOnList(moves, actorlow)
movesmiddle = test_polemiddle.actOnList(moves, actormiddle)
moveshigh = test_polehigh.actOnList(moves, actorhigh)
print("emotionalpole move length")
print(len(moveslow))
print(len(movesmiddle))
print(len(moveshigh))
def test_ParticularHolisticPole(self):
move1 = Move({
"test1": 5,
"test2": 10,
"test3": 20
}, None, [0, 0, 0, 0], .5, None)
move2 = Move({
"test1": 100,
"test2": 200,
"test3": 300
}, None, [15, 20, 14, 19], .5, None)
move3 = Move({
"test1": 1,
"test2": 1,
"test3": 1
}, None, [200, -350, 900, 3], .5, None)
move4 = Move({
"test1": -10,
"test2": 10,
"test3": -100
}, None, [39, 189, 289, 398], .5, None)
move5 = Move({
"test1": 500,
"test2": 1000,
"test3": 10000
}, None, [10, 20, 30, 40], .5, None)
move0 = Move({
"test1": 0,
"test2": 0,
"test3": 0
}, None, [1000, 1000, 1000, 1000], 0, None)
moves = [move1, move2, move3, move4, move5, move0]
test_polelow = ParticularHolisticPole(-1, 1)
test_polemiddle = ParticularHolisticPole(0, 1)
test_polehigh = ParticularHolisticPole(1, 1)
actorlow = Actor([test_polelow], None, None, None, 0.05, None, None,
[], [0, 0, 0, 0])
actormiddle = Actor([test_polemiddle], None, None, None, 0.05, None,
None, [], [0, 0, 0, 0])
actorhigh = Actor([test_polehigh], None, None, None, 0.05, None, None,
[], [0, 0, 0, 0])
moveslow = test_polelow.actOnList(moves, actorlow)
movesmiddle = test_polemiddle.actOnList(moves, actormiddle)
moveshigh = test_polehigh.actOnList(moves, actorhigh)
self.assertTrue(len(moveslow) != 6)
self.assertTrue(len(moveshigh) >= 5)
def test_riskPole(self):
move1 = Move({
"test1": 5,
"test2": 10,
"test3": 20
}, None, [], .5, None)
move2 = Move({
"test1": 100,
"test2": 200,
"test3": 300
}, None, [], .5, None)
move3 = Move({"test1": 1, "test2": 1, "test3": 1}, None, [], .5, None)
move4 = Move({
"test1": -10,
"test2": 10,
"test3": -100
}, None, [], .5, None)
move5 = Move({
"test1": 500,
"test2": 1000,
"test3": 10000
}, None, [], .5, None)
move0 = Move({"test1": 0, "test2": 0, "test3": 0}, None, [], 0, None)
moves = [move1, move2, move3, move4, move5, move0]
test_polelow = RiskPole(-1, 1)
test_polemiddle = RiskPole(0, 1)
test_polehigh = RiskPole(.99, 1)
actorlow = Actor([test_polelow], None, None, None, 0.05, None, None,
[], None)
actormiddle = Actor([test_polemiddle], None, None, None, 0.05, None,
None, [], None)
actorhigh = Actor([test_polehigh], None, None, None, 0.05, None, None,
[], None)
moveslow = test_polelow.actOnList(moves, actorlow)
movesmiddle = test_polemiddle.actOnList(moves, actormiddle)
moveshigh = test_polehigh.actOnList(moves, actorhigh)
self.assertTrue(actorlow.error < 1)
print("low error", actorlow.resourcesError)
# print("high error", actorhigh.error)
print("high error" + str(actorhigh.resourcesError))
print("middle error", actormiddle.resourcesError)
# print(actormiddle.error)
print("done")
def test_rationalityPole(self):
move1 = Move({
"test1": 5,
"test2": 10,
"test3": 20
}, None, [], .5, None)
move2 = Move({
"test1": 100,
"test2": 200,
"test3": 300
}, None, [], .5, None)
move3 = Move({"test1": 1, "test2": 1, "test3": 1}, None, [], .5, None)
move4 = Move({
"test1": -10,
"test2": 10,
"test3": -100
}, None, [], .5, None)
move5 = Move({
"test1": 500,
"test2": 1000,
"test3": 10000
}, None, [], .5, None)
move0 = Move({"test1": 0, "test2": 0, "test3": 0}, None, [], 0, None)
moves = [move1, move2, move3, move4, move5, move0]
test_polelow = RationalityPole(-1, 1)
test_polemiddle = RationalityPole(-.5, 1)
test_polehigh = RationalityPole(1, 1)
actorlow = Actor([test_polelow], None, None, None, 0.05, None, None,
[], None)
actormiddle = Actor([test_polemiddle], None, None, None, 0.05, None,
None, [], None)
actorhigh = Actor([test_polehigh], None, None, None, 0.05, None, None,
[], None)
moveslow = test_polelow.actOnList(moves, actorlow)
movesmiddle = test_polemiddle.actOnList(moves, actormiddle)
moveshigh = test_polehigh.actOnList(moves, actorhigh)
self.assertEqual(len(moveshigh), 6)
self.assertEqual(len(moveslow), 0)
self.assertTrue(len(movesmiddle) < 4)
def __init__(self, N):
super().__init__(N)
self.num_agents = N
self.schedule = RandomActivation(self)
################### Create global resources####################################
rationality = RationalityPole(0, 1)
risk = RiskPole(0, 1)
emotion = EmotionalPole(0, 1)
generosity = GenerosityPole(0, 1)
particularHolistic = ParticularHolisticPole(1, 1)
primacyRecency = PrimacyRecencyPole(0, 1)
routineCreative = RoutineCreativePole(0, 1)
data = utils.read_moves("../data/moves.csv")
moves = []
for move in data:
IO_string_set = set()
IO_list = [utils.IO_random_sampler(x) for x in
[move["warmth"],
move["affinity"], move["legitimacy"],
move["dominance"], move["competence"]]]
IO_string = utils.list_to_string(IO_list)
while IO_string in IO_string_set:
IO_list = [utils.IO_random_sampler(x) for x in
[move["warmth"],
move["affinity"], move["legitimacy"],
move["dominance"], move["competence"]]]
moves.append(Move(move["code"],
move["move_name"],
move["move_type"],
IO_list,
move["ph"],
[resource.strip() for resource in move["low_resources"].replace(",", " ").split()],
[resource.strip() for resource in move["med_resources"].replace(",", " ").split()],
[resource.strip() for resource in move["high_resources"].replace(",", " ").split()],
move["infrastructure"],
category='Build political infrastructure'))
generate_resource_vocab(moves)
# TODO
# one hot for infrastructure as well
s1 = [1000] * 52
s2 = [100] * 52
s3 = [-1000] * 52
curState = State({i: s1[i] for i in range(len(s1))}, {0: 0})
desState = State({i: s2[i] for i in range(len(s2))}, {0: 100})
criticalState = State({i: s3[i] for i in range(len(s3))}, {0: -1000})
io_values = {"A": 0, "B": 0, "C": 0, "D": 0, "E": 0}
globalresource = Actor(unique_id=0,model=self,
poles=[rationality, risk, emotion, generosity, particularHolistic, primacyRecency, routineCreative],
currentState = curState, desiredState=desState, maxTime=2, error=0,
history=[], criticalState=criticalState, allActors=[], ioValues=io_values,
end_io_state=io_values)
self.schedule.add(globalresource)
#############################################################################
############################# add an actor###################################
rationality = RationalityPole(0, 1)
risk = RiskPole(0, 1)
emotion = EmotionalPole(0, 1)
generosity = GenerosityPole(0, 1)
particularHolistic = ParticularHolisticPole(1, 1)
primacyRecency = PrimacyRecencyPole(0, 1)
routineCreative = RoutineCreativePole(0, 1)
data = utils.read_moves("../data/moves.csv")
moves = []
for move in data:
IO_string_set = set()
IO_list = [utils.IO_random_sampler(x) for x in
[move["warmth"],
move["affinity"], move["legitimacy"],
move["dominance"], move["competence"]]]
IO_string = utils.list_to_string(IO_list)
while IO_string in IO_string_set:
IO_list = [utils.IO_random_sampler(x) for x in
[move["warmth"],
move["affinity"], move["legitimacy"],
move["dominance"], move["competence"]]]
moves.append(Move(move["code"],
move["move_name"],
move["move_type"],
IO_list,
move["ph"],
[resource.strip() for resource in move["low_resources"].replace(",", " ").split()],
[resource.strip() for resource in move["med_resources"].replace(",", " ").split()],
[resource.strip() for resource in move["high_resources"].replace(",", " ").split()],
move["infrastructure"],
category='Build political infrastructure'))
generate_resource_vocab(moves)
# TODO
# one hot for infrastructure as well
s1 = [0] * 52
s2 = [100] * 52
s3 = [-1000] * 52
curState = State({i: s1[i] for i in range(len(s1))}, {0: 0})
desState = State({i: s2[i] for i in range(len(s2))}, {0: 100})
criticalState = State({i: s3[i] for i in range(len(s3))}, {0: -1000})
io_values = {"A": 0, "B": 0, "C": 0, "D": 0, "E": 0}
actor = Actor(unique_id=1,model=self,
poles=[rationality, risk, emotion, generosity, particularHolistic, primacyRecency, routineCreative],
currentState = curState, desiredState=desState, maxTime=2, error=0,
history=[], criticalState=criticalState, allActors=[], ioValues=io_values,
end_io_state=io_values)
self.schedule.add(actor)
##############################################################################
############################# add an actor###################################
rationality = RationalityPole(0, 1)
risk = RiskPole(0, 1)
emotion = EmotionalPole(0, 1)
generosity = GenerosityPole(0, 1)
particularHolistic = ParticularHolisticPole(1, 1)
primacyRecency = PrimacyRecencyPole(0, 1)
routineCreative = RoutineCreativePole(0, 1)
data = utils.read_moves("../data/moves.csv")
moves = []
for move in data:
IO_string_set = set()
IO_list = [utils.IO_random_sampler(x) for x in
[move["warmth"],
move["affinity"], move["legitimacy"],
move["dominance"], move["competence"]]]
IO_string = utils.list_to_string(IO_list)
while IO_string in IO_string_set:
IO_list = [utils.IO_random_sampler(x) for x in
[move["warmth"],
move["affinity"], move["legitimacy"],
move["dominance"], move["competence"]]]
moves.append(Move(move["code"],
move["move_name"],
move["move_type"],
IO_list,
move["ph"],
[resource.strip() for resource in move["low_resources"].replace(",", " ").split()],
[resource.strip() for resource in move["med_resources"].replace(",", " ").split()],
[resource.strip() for resource in move["high_resources"].replace(",", " ").split()],
move["infrastructure"],
category='Build political infrastructure'))
generate_resource_vocab(moves)
# TODO
# one hot for infrastructure as well
s1 = [10] * 52
s2 = [100] * 52
s3 = [-1000] * 52
curState = State({i: s1[i] for i in range(len(s1))}, {0: 0})
desState = State({i: s2[i] for i in range(len(s2))}, {0: 100})
criticalState = State({i: s3[i] for i in range(len(s3))}, {0: -1000})
io_values = {"A": 0, "B": 0, "C": 0, "D": 0, "E": 0}
actor2 = Actor(unique_id=2,model=self,
poles=[rationality, risk, emotion, generosity, particularHolistic, primacyRecency, routineCreative],
currentState = curState, desiredState=desState, maxTime=2, error=0,
history=[], criticalState=criticalState, allActors=[], ioValues=io_values,
end_io_state=io_values)
self.schedule.add(actor2)
def test_PrimacyRecencyPole(self):
curstate1 = State({"f1": 100, "f2": 0}, {"i1": 0})
desState1 = State({'f1': 1000}, {'i1': 1000})
test_polelow = PrimacyRecencyPole(-1, .1)
test_polemiddle = PrimacyRecencyPole(0, 1)
test_polehigh = PrimacyRecencyPole(1, 1)
move1 = Move({"f1": 101, "f2": 0}, {"i1": 1}, [], 1, None)
move2 = Move({"f1": 102, "f2": 0}, {"i1": 1}, [], 1, None)
move3 = Move({"f1": 110, "f2": 0}, {"i1": 1}, [], 1, None)
move4 = Move({"f1": 106, "f2": 0}, {"i1": 1}, [], 1, None)
move5 = Move({"f1": 101, "f2": 0}, {"i1": 0}, [], 1, None)
move6 = Move({"f1": 102, "f2": 0}, {"i1": 0}, [], 1, None)
move7 = Move({"f1": 110, "f2": 0}, {"i1": 0}, [], 1, None)
move8 = Move({"f1": 106, "f2": 0}, {"i1": 0}, [], 1, None)
move00 = Move({"f1": 0, "f2": 0}, {"i1": 0}, [], 1, None)
event1 = Event(None, None, move1, 0)
event2 = Event(None, None, move2, 0)
event3 = Event(None, None, move3, 0)
event4 = Event(None, None, move4, 0)
event5 = Event(None, None, move5, 0)
event6 = Event(None, None, move6, 0)
event7 = Event(None, None, move7, 0)
event8 = Event(None, None, move8, 0)
actorlow = Actor([test_polelow], curstate1, None, None, .05, None, None, [], [])
actormiddle = Actor([test_polemiddle], curstate1, None, None, .05, None, None, [], [])
# high recency
actorhigh = Actor([test_polehigh], curstate1, None, None, .05, None, None, [], [])
actorlow.memory = [event1, event2, event3, event4]
actorhigh.memory = [event1, event2, event3, event4]
actormiddle.memory = [event1, event2, event3, event4]
actorlow.history = [event5, event6, event7, event8]
actormiddle.history = [event5, event6, event7, event8]
actorhigh.history = [event5, event6, event7, event8]
test_MST1 = MST(curstate1, desState1, [move1, move2, move3, move4, move5, move6, move7, move8, move00], 2)
test_MST2 = MST(curstate1, desState1, [move1, move2, move3, move4, move5, move6, move7, move8, move00], 2)
test_MST3 = MST(curstate1, desState1, [move1, move2, move3, move4, move5, move6, move7, move8, move00], 2)
low_mst = test_polelow.actOnMST(test_MST1, actorlow) # contain only move 1,2,5,6,7,8,00
mid_mst = test_polemiddle.actOnMST(test_MST2, actormiddle) # contain 1,2,5,6,00
high_mst = test_polehigh.actOnMST(test_MST3, actorhigh) # contain 1,2,3,,4 ,5,6,00
self.assertTrue(low_mst.containsMove(move1))
self.assertTrue(low_mst.containsMove(move2))
self.assertTrue(low_mst.containsMove(move5))
self.assertTrue(low_mst.containsMove(move6))
self.assertTrue(low_mst.containsMove(move7))
self.assertTrue(low_mst.containsMove(move00))
self.assertFalse(low_mst.containsMove(move3))
self.assertFalse(low_mst.containsMove(move4))
self.assertTrue(low_mst.containsMove(move8))
self.assertTrue(mid_mst.containsMove(move1))
self.assertTrue(mid_mst.containsMove(move2))
self.assertTrue(mid_mst.containsMove(move5))
self.assertTrue(mid_mst.containsMove(move6))
self.assertTrue(mid_mst.containsMove(move00))
self.assertFalse(mid_mst.containsMove(move3))
self.assertFalse(mid_mst.containsMove(move4))
self.assertFalse(mid_mst.containsMove(move7))
self.assertFalse(mid_mst.containsMove(move8))
self.assertFalse(mid_mst.containsMove(move3))
self.assertTrue(high_mst.containsMove(move2))
self.assertTrue(high_mst.containsMove(move3))
self.assertTrue(high_mst.containsMove(move4))
self.assertTrue(high_mst.containsMove(move5))
self.assertTrue(high_mst.containsMove(move6))
self.assertTrue(high_mst.containsMove(move00))
self.assertTrue(not high_mst.containsMove(move7))
self.assertTrue(not high_mst.containsMove(move8))
self.assertTrue(high_mst.containsMove(move1))
def test_RoutineCreativePole(self):
test_polelow = RoutineCreativePole(-.75, 1)
test_polemiddle = RoutineCreativePole(0, 1)
test_polehigh = RoutineCreativePole(1, 1)
# high primacy
actorlow = Actor([test_polelow],
State({
"test1": 1,
"test2": 1,
"test3": 1,
"test4": 1
}, None), None, None, .1, None, None, [], [])
actormiddle = Actor([test_polemiddle],
State(
{
"test1": 1,
"test2": 1,
"test3": 1,
"test4": 1
}, None), None, None, .1, None, None, [], [])
# high recency
actorhigh = Actor([test_polehigh],
State(
{
"test1": 1,
"test2": 1,
"test3": 1,
"test4": 1
}, None), None, None, .1, None, None, [], [])
event1 = Event(
None, None,
Move({
"test1": 1,
"test2": 1,
"test3": 1,
"test4": 1
}, None, [], .5, None), 0)
event2 = Event(
None, None,
Move({
"test1": 0,
"test2": 0,
"test3": 0,
"test4": 0
}, None, [], .5, None), 0)
# event3 = Event(None, None, Move({"test1":100, "test2": 100, "test3": 200, "test4": 300}, None, [], .5, None),0)
# event4 = Event(None, None, Move({"test1":0, "test2": 0, "test3": 0, "test4": 1}, None, [], .5, None),0)
# event5 = Event(None, None, Move({"test1":1, "test2": 1, "test3": 1, "test4": 2}, None, [], .5, None),0)
# event6 = Event(None, None, Move({"test1":101, "test2": 100, "test3": 100, "test4": 100}, None, [], .5, None),0)
# event7 = Event(None, None, Move({"test1":501, "test2": 500, "test3": 500, "test4": 500}, None, [], .5, None),0)
# event8 = Event(None, None, Move({"test1":1, "test2": 1, "test3": 0, "test4": 0}, None, [], .5, None),0)
moves = [
Move({
"test1": 1,
"test2": 1,
"test3": 1,
"test4": 1
}, None, [], .5, None),
Move({
"test1": 0,
"test2": 0,
"test3": 0,
"test4": 0
}, None, [], .5, None),
Move({
"test1": 1000,
"test2": 1000,
"test3": 1000,
"test4": 1000
}, None, [], .5, None),
Move({
"test1": .75,
"test2": .75,
"test3": .75,
"test4": .75
}, None, [], .5, None),
Move({
"test1": .89,
"test2": .99,
"test3": .99,
"test4": 1
}, None, [], .5, None)
]
successfulMoves = [
event1, event2
] # ,event3, event4, event5, event6, event7, event8]
actorlow.timeTicks = 8
actormiddle.timeTicks = 8
actorhigh.timeTicks = 8
actorlow.successfulMoves = successfulMoves
actorhigh.successfulMoves = successfulMoves
actormiddle.successfulMoves = successfulMoves
moveslow = test_polelow.actOnList(moves, actorlow)
movesmiddle = test_polemiddle.actOnList(moves, actormiddle)
moveshigh = test_polehigh.actOnList(moves, actorhigh)
print("PRINTING MOVES LOW MIDDLE HIGH")
print(len(moveslow))
print(len(movesmiddle))
print(len(moveshigh))
def test_PrimacyRecencyPole(self):
test_polelow = PrimacyRecencyPole(-1, 1)
test_polemiddle = PrimacyRecencyPole(0, 1)
test_polehigh = PrimacyRecencyPole(1, 1)
# high primacy
actorlow = Actor([test_polelow],
State({
"test1": 1,
"test2": 0,
"test3": 0,
"test4": 0
}, None), None, None, .05, None, None, [], [])
actormiddle = Actor([test_polemiddle],
State(
{
"test1": 1,
"test2": 0,
"test3": 0,
"test4": 0
}, None), None, None, .05, None, None, [], [])
# high recency
actorhigh = Actor([test_polehigh],
State(
{
"test1": 1,
"test2": 0,
"test3": 0,
"test4": 0
}, None), None, None, .05, None, None, [], [])
event1 = Event(
None, None,
Move({
"test1": 1,
"test2": 1,
"test3": 1,
"test4": 1
}, None, [], .5, None), 0)
event2 = Event(
None, None,
Move({
"test1": 1,
"test2": 1,
"test3": 1,
"test4": 2
}, None, [], .5, None), 0)
event3 = Event(
None, None,
Move({
"test1": .96,
"test2": 0,
"test3": 0,
"test4": 0
}, None, [], .5, None), 0)
event4 = Event(
None, None,
Move({
"test1": 0,
"test2": 0,
"test3": 0,
"test4": 0
}, None, [], .5, None), 0)
event5 = Event(
None, None,
Move({
"test1": 1,
"test2": 1,
"test3": 1,
"test4": 2
}, None, [], .5, None), 0)
event6 = Event(
None, None,
Move({
"test1": 101,
"test2": 100,
"test3": 100,
"test4": 100
}, None, [], .5, None), 0)
event7 = Event(
None, None,
Move({
"test1": 501,
"test2": 500,
"test3": 500,
"test4": 500
}, None, [], .5, None), 0)
event8 = Event(
None, None,
Move({
"test1": 1,
"test2": 1,
"test3": 0,
"test4": 0
}, None, [], .5, None), 0)
moves = []
history = [event1, event2, event3, event4]
memory = [event5, event6, event7, event8]
actorlow.history = [event1, event2, event3, event4]
actorhigh.history = [event1, event2, event3, event4]
actormiddle.history = [event1, event2, event3, event4]
actorlow.memory = [event5, event6, event7, event8]
actormiddle.memory = [event5, event6, event7, event8]
actorhigh.memory = [event5, event6, event7, event8]
print("MOVES LOW")
moveslow = test_polelow.actOnList(moves, actorlow)
print("MOVES MID:")
movesmiddle = test_polemiddle.actOnList(moves, actormiddle)
print("MOVES HIGH:")
moveshigh = test_polehigh.actOnList(moves, actorhigh)
while IO_string in IO_string_set:
IO_list = [
utils.IO_random_sampler(x) for x in [
move["warmth"], move["affinity"], move["legitimacy"],
move["dominance"], move["competence"]
]
]
moves.append(
Move(move["code"],
move["move_name"],
move["move_type"],
IO_list,
move["ph"], [
resource.strip() for resource in
move["low_resources"].replace(",", " ").split()
], [
resource.strip() for resource in
move["med_resources"].replace(",", " ").split()
], [
resource.strip() for resource in
move["high_resources"].replace(",", " ").split()
],
move["infrastructure"],
category='Build political infrastructure'))
generate_resource_vocab(moves)
# TODO
# one hot for infrastructure as well
s1 = [0] * 52
s2 = [100] * 52
s3 = [-1000] * 52
def testMSTbuild(self):
curstate1 = State({
'f1': 100,
'f2': 100,
'f3': 100
}, {
'i1:': 0,
'i2': 0,
'i3': 0
})
desState1 = State({
'f1': 100,
'f2': 100,
'f3': 100
}, {
'i1:': 0,
'i2': 0,
'i3': 0
})
curState2 = State({
'f1': 0,
'f2': 0,
'f3': 0
}, {
'i1:': 0,
'i2': 0,
'i3': 0
})
desState2 = State({
'f1': 0,
'f2': 0,
'f3': 0
}, {
'i1:': 0,
'i2': 0,
'i3': 0
})
move1 = Move({
"f1": 5,
"f2": 10,
"f3": 20
}, {
'i1:': 0,
'i2': 0,
'i3': 0
}, [], .5, None)
move2 = Move({
"f1": 100,
"f2": 200,
"f3": 300
}, {
'i1:': 0,
'i2': 0,
'i3': 0
}, [], .5, None)
move0 = Move({
"f1": 0,
"f2": 0,
"f3": 0
}, {
'i1:': 0,
'i2': 0,
'i3': 0
}, [], 0, None)
moves = [move1, move2, move0]
test_mst1 = MST(curstate1, desState1, moves, 2)
G = test_mst1.graph
# nx.draw(test_mst1.graph)
# plt.show()
root = test_mst1.tree
edges = G.edges()
print(edges)
edges = [G[node1][node2]['object'] for (node1, node2) in edges]
self.assertTrue(move2 in edges)
