def get_SmartAgents() -> List[SmartAgent]:
agents: SmartAgent = []
agent_0 = SmartAgent(index=0,
moves=[((9, 2), (21, 2), (27, 17)),
((21, 20), (27, 20), (9, 2)),
((27, 17), (9, 17), (21, 20))],
local_phase_sections=[2, 20, 17],
curve_densities={(9, 2): 0.7, (21, 2): 0.3,
(21, 20): 0.7, (27, 20): 0.3,
(27, 17): 0.7, (9, 17): 0.3},
sections_9_indexes=[0, 1, 2, 18, 19, 20, 15, 16, 17])
agent_1 = SmartAgent(index=1,
moves=[((12, 11), (30, 11), (18, 26)),
((12, 5), (18, 5), (30, 11)),
((18, 26), (30, 26), (12, 5))],
local_phase_sections=[5, 11, 26],
curve_densities={(12, 5): 0.7, (18, 5): 0.3,
(30, 11): 0.7, (12, 11): 0.3,
(18, 26): 0.7, (30, 26): 0.3},
sections_9_indexes=[3, 4, 5, 24, 25, 26, 9, 10, 11])
agent_2 = SmartAgent(index=2,
moves=[((33, 14), (15, 14), (24, 23)),
((24, 8), (15, 8), (33, 14)),
((24, 23), (33, 23), (15, 8))],
local_phase_sections=[8, 14, 23],
curve_densities={(15, 8): 0.7, (24, 8): 0.3,
(33, 14): 0.7, (15, 14): 0.3,
(24, 23): 0.7, (33, 23): 0.3},
sections_9_indexes=[6, 7, 8, 21, 22, 23, 12, 13, 14])
agents.append(agent_0)
agents.append(agent_1)
agents.append(agent_2)
return agents
def get_SmartAgents_with_model(models) -> List[SmartAgent]:
agents: SmartAgent = []
agent_0 = SmartAgent(index=0,
moves=[((9, 2), (21, 2), (27, 17)),
((21, 20), (27, 20), (9, 2)),
((27, 17), (9, 17), (21, 20))],
local_phase_sections=[2, 20, 17],
curve_densities={
(9, 2): 0.7,
(21, 2): 0.3,
(21, 20): 0.7,
(27, 20): 0.3,
(27, 17): 0.7,
(9, 17): 0.3
},
model=models[0],
outflow_section=27)
agent_1 = SmartAgent(index=1,
moves=[((12, 11), (30, 11), (18, 26)),
((12, 5), (18, 5), (30, 11)),
((18, 26), (30, 26), (12, 5))],
local_phase_sections=[5, 26, 11],
curve_densities={
(12, 5): 0.7,
(18, 5): 0.3,
(30, 11): 0.7,
(12, 11): 0.3,
(18, 26): 0.7,
(30, 26): 0.3
},
model=models[1],
outflow_section=30) # blad
agent_2 = SmartAgent(index=2,
moves=[((33, 14), (15, 14), (24, 23)),
((24, 8), (15, 8), (33, 14)),
((24, 23), (33, 23), (15, 8))],
local_phase_sections=[8, 14, 23],
curve_densities={
(15, 8): 0.7,
(24, 8): 0.3,
(33, 14): 0.7,
(15, 14): 0.3,
(24, 23): 0.7,
(33, 23): 0.3
},
model=models[2],
outflow_section=33)
agents.append(agent_0)
agents.append(agent_1)
agents.append(agent_2)
return agents
def deep_copy_agent(agent):
new_agent = SmartAgent(index=agent.index,
moves=agent.moves,
local_phase_sections=agent.local_phase_sections,
curve_densities=agent.curve_densities,
sections_9_indexes=agent.sections_9_indexes)
new_agent.local_state = agent.local_state
new_agent.orange_phase_duration = agent.orange_phase_duration
new_agent.pending_phase = agent.pending_phase
new_agent.rewards = agent.rewards
new_agent.actual_phase = agent.actual_phase
new_agent.starting_actual_phase = agent.starting_actual_phase
new_agent.action = agent.action
return new_agent
def get_SmartAgents() -> List[SmartAgent]:
agents: SmartAgent = []
agent_0 = SmartAgent(index=0,
moves=[
((2, 1), (404, 404)),
((4, 1), (404, 404)),
],
local_phase_sections=[0],
curve_densities={
(2, 1): 0.3,
(4, 1): 0.7
})
agents.append(agent_0)
return agents
def get_SmartAgents_with_model(models) -> List[SmartAgent]:
agents: SmartAgent = []
agent_0 = SmartAgent(index=0,
moves=[
((1, 0), (404, 404)),
((2, 0), (404, 404)),
],
local_phase_sections=[0],
curve_densities={
(2, 0): 0.7,
(1, 0): 0.3
},
sections_9_indexes=[0])
agents.append(agent_0)
return agents
def get_SmartAgents_with_model(models) -> List[SmartAgent]:
agents: SmartAgent = []
agent_0 = SmartAgent(index=0,
moves=[
((4, 1), (404, 404)),
((4, 3), (404, 404)),
],
local_phase_sections=[0, 1, 2, 3],
curve_densities={
(4, 1): 1,
(4, 3): 1
},
model=models[0])
agents.append(agent_0)
return agents
def get_SmartAgents() -> List[SmartAgent]:
agents: SmartAgent = []
agent_0 = SmartAgent(
index=0,
moves=[
((2, 1),
(404,
404)), # (404,404) musi byc, bo ((2,1)) python parsuje na (2,1)
((4, 1), (404, 404)),
],
local_phase_sections=[1],
curve_densities={
(2, 1): 0.25,
(4, 1): 0.75
})
agents.append(agent_0)
return agents
def get_SmartAgents() -> List[SmartAgent]:
agents: SmartAgent = []
agent_0 = SmartAgent(
index=0,
moves=[
((4, 1),
(404,
404)), # 404 musi byc, bo python parsuje samo ((4,1)) na (4,1)
((4, 3), (404, 404)),
],
local_phase_sections=[0, 1, 2, 3],
curve_densities={
(4, 1): 1,
(4, 3): 1
})
agents.append(agent_0)
return agents
def get_SmartAgents() -> List[SmartAgent]:
agents: SmartAgent = []
agent_0 = SmartAgent(index=0,
all_phases=[
Phase(index=0, moves=()),
Phase(index=1, moves=((9, 2), (21, 2), (27, 17))),
Phase(index=2,
moves=((21, 20), (27, 20), (9, 2))),
Phase(index=3,
moves=((27, 17), (9, 17), (21, 20)))
],
local_phase_sections=[2, 20, 17],
curve_densities={
(9, 2): 0.7,
(21, 2): 0.3,
(21, 20): 0.7,
(27, 20): 0.3,
(27, 17): 0.7,
(9, 17): 0.3
})
agent_1 = SmartAgent(index=1,
all_phases=[
Phase(index=0, moves=()),
Phase(index=1,
moves=((12, 11), (30, 11), (18, 26))),
Phase(index=2,
moves=((12, 5), (18, 5), (30, 11))),
Phase(index=3,
moves=((18, 26), (30, 26), (12, 5)))
],
local_phase_sections=[5, 11, 26],
curve_densities={
(12, 5): 0.7,
(18, 5): 0.3,
(30, 11): 0.7,
(12, 11): 0.3,
(18, 26): 0.7,
(30, 26): 0.3
})
agent_2 = SmartAgent(index=2,
all_phases=[
Phase(index=0, moves=()),
Phase(index=1,
moves=((33, 14), (15, 14), (24, 23))),
Phase(index=2,
moves=((24, 8), (15, 8), (33, 14))),
Phase(index=3,
moves=((24, 23), (33, 23), (15, 8)))
],
local_phase_sections=[8, 14, 23],
curve_densities={
(15, 8): 0.7,
(24, 8): 0.3,
(33, 14): 0.7,
(15, 14): 0.3,
(24, 23): 0.7,
(33, 23): 0.3
})
agents.append(agent_0)
agents.append(agent_1)
agents.append(agent_2)
return agents
def get_SmartAgents() -> List[SmartAgent]:
agents: SmartAgent = []
agent_0 = SmartAgent(index=0,
moves=[((1, 0), (2, 28)), ((4, 37), (29, 21)),
((4, 0), (2, 0), (29, 28), (1, 28)),
((2, 37), (29, 37), (1, 21), (4, 21))],
local_phase_sections=[0, 21, 28, 37],
curve_densities={
(4, 0): 0.5,
(2, 0): 0.3,
(1, 0): 0.2,
(2, 37): 0.5,
(29, 37): 0.3,
(4, 37): 0.2,
(2, 37): 0.5,
(29, 37): 0.3,
(4, 37): 0.2,
(29, 28): 0.5,
(1, 28): 0.3,
(2, 28): 0.2,
(1, 21): 0.5,
(4, 21): 0.3,
(29, 21): 0.2,
},
outflow_section=27)
agent_1 = SmartAgent(index=1,
moves=[((20, 30), (32, 17)),
((20, 17), (19, 17), (33, 30), (32, 30)),
((33, 18), (20, 18), (19, 18)),
((33, 3), (32, 3), (19, 3))],
local_phase_sections=[30, 18, 17, 3],
curve_densities={
(33, 30): 0.5,
(32, 30): 0.3,
(20, 30): 0.2,
(32, 3): 0.5,
(19, 3): 0.3,
(33, 3): 0.2,
(20, 18): 0.5,
(33, 18): 0.3,
(19, 18): 0.2,
(19, 17): 0.5,
(20, 17): 0.3,
(32, 17): 0.2,
},
outflow_section=30)
agent_2 = SmartAgent(index=2,
moves=[((8, 7), (10, 24)), ((9, 31), (25, 23)),
((9, 7), (10, 7), (8, 24), (25, 24)),
((9, 23), (8, 23), (10, 31), (25, 31))],
local_phase_sections=[7, 23, 24, 31],
curve_densities={
(9, 7): 0.5,
(10, 7): 0.3,
(8, 7): 0.2,
(8, 23): 0.5,
(9, 23): 0.3,
(25, 23): 0.2,
(25, 24): 0.5,
(8, 24): 0.3,
(10, 24): 0.2,
(10, 31): 0.5,
(25, 31): 0.3,
(9, 31): 0.2,
},
outflow_section=33)
agent_3 = SmartAgent(index=3,
moves=[((22, 36), (13, 38)), ((12, 11), (14, 39)),
((13, 36), (12, 36), (14, 38), (22, 38)),
((13, 11), (14, 11), (12, 39), (22, 39))],
local_phase_sections=[11, 36, 38, 39],
curve_densities={
(12, 36): 0.5,
(13, 36): 0.3,
(22, 36): 0.2,
(22, 39): 0.5,
(12, 39): 0.3,
(14, 39): 0.2,
(14, 38): 0.5,
(22, 38): 0.3,
(13, 38): 0.2,
(13, 11): 0.5,
(14, 11): 0.3,
(12, 11): 0.2,
},
outflow_section=33)
agents.append(agent_0)
agents.append(agent_1)
agents.append(agent_2)
agents.append(agent_3)
return agents