def test_neighbors_with_torus():
model = ap.Model()
agents = ap.AgentList(model, 5)
grid = ap.Grid(model, (4, 4), torus=True)
grid.add_agents(agents, [[0, 0], [1, 3], [2, 0], [3, 2], [3, 3]])
grid.apply(len).tolist()
assert list(grid.neighbors(agents[0]).id) == [5, 2]
model = ap.Model()
agents = ap.AgentList(model, 5)
grid = ap.Grid(model, (4, 4), torus=True)
grid.add_agents(agents, [[0, 1], [1, 3], [2, 0], [3, 2], [3, 3]])
grid.apply(len).tolist()
assert list(grid.neighbors(agents[0]).id) == [4]
assert list(grid.neighbors(agents[1]).id) == [3]
for d in [2, 3, 4]:
model = ap.Model()
agents = ap.AgentList(model, 5)
grid = ap.Grid(model, (4, 4), torus=True)
grid.add_agents(agents, [[0, 1], [1, 3], [2, 0], [3, 2], [3, 3]])
grid.apply(len).tolist()
assert list(grid.neighbors(agents[0], distance=d).id) == [2, 3, 4, 5]
assert list(grid.neighbors(agents[1], distance=d).id) == [1, 3, 4, 5]
def test_move_torus():
model = ap.Model()
agents = ap.AgentList(model, 1)
agent, = agents
grid = ap.Grid(model, (4, 4), torus=True)
grid.add_agents(agents, [[0, 0]])
assert grid.positions[agent] == (0, 0)
grid.move_by(agent, [-1, -1])
assert grid.positions[agent] == (3, 3)
grid.move_by(agent, [1, 0])
assert grid.positions[agent] == (0, 3)
grid.move_by(agent, [0, 1])
assert grid.positions[agent] == (0, 0)
model = ap.Model()
agents = ap.AgentList(model, 1)
agent, = agents
grid = ap.Grid(model, (4, 4), torus=False)
grid.add_agents(agents, [[0, 0]])
assert grid.positions[agent] == (0, 0)
grid.move_by(agent, [-1, -1])
assert grid.positions[agent] == (0, 0)
grid.move_by(agent, [6, 6])
assert grid.positions[agent] == (3, 3)
def test_remove():
model = ap.Model()
agents = ap.AgentList(model, 2)
grid = ap.Grid(model, (2, 2))
grid.add_agents(agents)
grid.remove_agents(agents[0])
assert grid.apply(len).tolist() == [[0, 1], [0, 0]]
# With track_empty
model = ap.Model()
agents = ap.AgentList(model, 2)
grid = ap.Grid(model, (2, 2), track_empty=True)
grid.add_agents(agents)
assert list(grid.empty) == [(1, 1), (1, 0)]
grid.remove_agents(agents[0])
assert list(grid.empty) == [(1, 1), (1, 0), (0, 0)]
def test_grid_iter():
model = ap.Model()
agents = ap.AgentList(model, 4)
grid = ap.Grid(model, (2, 2))
grid.add_agents(agents)
assert len(grid.agents) == 4
assert len(grid.agents[0:1, 0:1]) == 1
def setup(self):
# Parameters
s = self.p.size
n = self.n = int(self.p.density * (s ** 2))
# Create grid and agents
self.grid = ap.Grid(self, (s, s), track_empty=True)
self.agents = ap.AgentList(self, n, SegregationAgent)
self.grid.add_agents(self.agents, random=True, empty=True)
def setup(self):
# Create agents (trees)
n_trees = int(self.p['Tree density'] * (self.p.size**2))
trees = self.agents = ap.AgentList(self, n_trees)
# Create grid (forest)
self.forest = ap.Grid(self, [self.p.size]*2, track_empty=True)
self.forest.add_agents(trees, random=True, empty=True)
# Initiate a dynamic variable for all trees
# Condition 0: Alive, 1: Burning, 2: Burned
self.agents.condition = 0
# Start a fire from the left side of the grid
unfortunate_trees = self.forest.agents[0:self.p.size, 0:2]
unfortunate_trees.condition = 1
def test_field():
model = ap.Model()
grid = ap.Grid(model, (2, 2))
grid.add_field('f1', np.array([[1, 2], [3, 4]]))
grid.add_field('f2', 5)
assert grid.f1.tolist() == [[1, 2], [3, 4]]
grid.f1[1, 1] = 8
assert grid.f1.tolist() == [[1, 2], [3, 8]]
assert grid.f2.tolist() == [[5, 5], [5, 5]]
assert grid.grid.f2.tolist() == grid.f2.tolist()
grid.del_field('f2')
with pytest.raises(AttributeError):
grid.f2
with pytest.raises(AttributeError):
grid.grid.f2
def make_grid(s, n=0, track_empty=False, agent_cls=ap.Agent):
model = ap.Model()
agents = ap.AgentList(model, n, agent_cls)
grid = ap.Grid(model, (s, s), track_empty=track_empty)
grid.add_agents(agents)
return model, grid, agents
def test_add_agents():
model = ap.Model()
grid = ap.Grid(model, (2, 2))
agents = ap.AgentList(model, 5)
grid.add_agents(agents)
assert grid.apply(len).tolist() == [[2, 1], [1, 1]]
# Passed positions
model = ap.Model()
grid = ap.Grid(model, (2, 2))
agents = ap.AgentList(model, 2)
grid.add_agents(agents, [[0, 0], [1, 1]])
assert grid.apply(len).tolist() == [[1, 0], [0, 1]]
model = ap.Model()
model.sim_setup(seed=1)
grid = ap.Grid(model, (2, 2))
agents = ap.AgentList(model, 5)
grid.add_agents(agents, random=True)
assert grid.apply(len).tolist() == [[0, 3], [1, 1]]
with pytest.raises(AgentpyError):
# Can't add more agents than empty positions
model = ap.Model()
model.sim_setup(seed=1)
grid = ap.Grid(model, (2, 2), track_empty=True)
agents = ap.AgentList(model, 5)
grid.add_agents(agents, empty=True)
with pytest.raises(AgentpyError):
# Can't use empty if track_empty is False
model = ap.Model()
model.sim_setup(seed=1)
grid = ap.Grid(model, (2, 2))
agents = ap.AgentList(model, 5)
grid.add_agents(agents, empty=True)
model = ap.Model()
model.sim_setup(seed=1)
grid = ap.Grid(model, (2, 2), track_empty=True)
agents = ap.AgentList(model, 2)
grid.add_agents(agents, empty=True)
agents = ap.AgentList(model, 2)
grid.add_agents(agents, empty=True)
assert grid.apply(len).tolist() == [[1, 1], [1, 1]]
model = ap.Model()
model.sim_setup(seed=1)
grid = ap.Grid(model, (2, 2), track_empty=True)
agents = ap.AgentList(model, 2)
grid.add_agents(agents)
agents = ap.AgentList(model, 2)
grid.add_agents(agents)
assert grid.apply(len).tolist() == [[2, 2], [0, 0]]
model = ap.Model()
model.sim_setup(seed=2)
grid = ap.Grid(model, (2, 2), track_empty=True)
agents = ap.AgentList(model, 2)
grid.add_agents(agents, empty=True)
agents = ap.AgentList(model, 1)
grid.add_agents(agents, random=True, empty=True)
assert grid.apply(len).tolist() == [[1, 1], [0, 1]]
model = ap.Model()
model.sim_setup(seed=2)
grid = ap.Grid(model, (2, 2), track_empty=True)
agents = ap.AgentList(model, 2)
grid.add_agents(agents, empty=True)
agents = ap.AgentList(model, 1)
grid.add_agents(agents, random=True)
assert grid.apply(len).tolist() == [[2, 1], [0, 0]]
