Differential D2199 Diff 12963 source/tools/rlclient/python/tests/test_actions.py

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source/tools/rlclient/python/tests/test_actions.py

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				import zero_ad
				import json
				import math
				from os import path

				game = zero_ad.ZeroAD('http://localhost:6000')
				scriptdir = path.dirname(path.realpath(__file__))
				with open(path.join(scriptdir, '..', 'samples', 'arcadia.json'), 'r') as f:
				config = f.read()

				def dist (p1, p2):
				return math.sqrt(sum((math.pow(x2 - x1, 2) for (x1, x2) in zip(p1, p2))))

				def center(units):
				sum_position = map(sum, zip(*map(lambda u: u.position(), units)))
				return [x/len(units) for x in sum_position]

				def closest(units, position):
				dists = (dist(unit.position(), position) for unit in units)
				index = 0
				min_dist = next(dists)
				for (i, d) in enumerate(dists):
				if d < min_dist:
				index = i
				min_dist = d

				return units[index]

				def test_construct():
				state = game.reset(config)
				female_citizens = state.units(owner=1, type='female_citizen')
				house_tpl = 'structures/spart_house'
				house_count = len(state.units(owner=1, type=house_tpl))
				x = 680
				z = 640
				build_house = zero_ad.actions.construct(female_citizens, house_tpl, x, z, autocontinue=True)
				# Check that they start building the house
				state = game.step([build_house])
				while len(state.units(owner=1, type=house_tpl)) == house_count:
				state = game.step()

				def test_gather():
				state = game.reset(config)
				female_citizen = state.units(owner=1, type='female_citizen')[0]
				trees = state.units(owner=0, type='tree')
				nearby_tree = closest(state.units(owner=0, type='tree'), female_citizen.position())

				collect_wood = zero_ad.actions.gather([female_citizen], nearby_tree)
				state = game.step([collect_wood])
				while len(state.unit(female_citizen.id()).data['resourceCarrying']) == 0:
				state = game.step()

				def test_train():
				state = game.reset(config)
				civic_centers = state.units(owner=1, type="civil_centre")
				spearman_type = 'units/spart_infantry_spearman_b'
				spearman_count = len(state.units(owner=1, type=spearman_type))
				train_spearmen = zero_ad.actions.train(civic_centers, spearman_type)

				state = game.step([train_spearmen])
				while len(state.units(owner=1, type=spearman_type)) == spearman_count:
				state = game.step()

				def test_walk():
				state = game.reset(config)
				female_citizens = state.units(owner=1, type='female_citizen')
				x = 680
				z = 640
				initial_distance = dist(center(female_citizens), [x, z])

				walk = zero_ad.actions.walk(female_citizens, x, z)
				state = game.step([walk])
				distance = initial_distance
				while distance >= initial_distance:
				state = game.step()
				female_citizens = state.units(owner=1, type='female_citizen')
				distance = dist(center(female_citizens), [x, z])

				def test_attack():
				state = game.reset(config)
				units = state.units(owner=1, type='cavalry')
				target = state.units(owner=2, type='female_citizen')[0]
				initial_health = target.health()

				state = game.step([zero_ad.actions.reveal_map()])

				attack = zero_ad.actions.attack(units, target)
				state = game.step([attack])
				while state.unit(target.id()).health() >= initial_health:
				state = game.step()

				def test_debug_print():
				state = game.reset(config)
				debug_print = zero_ad.actions.debug_print('hello world!!')
				state = game.step([debug_print])

				def test_chat():
				state = game.reset(config)
				chat = zero_ad.actions.chat('hello world!!')
				state = game.step([chat])