def test_step(self):
s = Simulation()
current_step = s.current_simstep
current_generation = s.current_generation
s.step()
assert s.current_simstep == current_step + 1
assert s.current_generation == current_generation
# with default settings, one agent should have cooperated, and one received payoff
number_of_payoffs = 0
number_of_cost = 0
number_of_negative_reputations = 0
number_of_positive_reputations = 0
for a in s.agents:
if a["value"] == 1.0:
number_of_payoffs += 1
assert a["reputation"]==0. or a["reputation"]==-1.0
elif a["value"] == -0.5:
number_of_cost += 1
else:
assert a["value"] == 0.
if a["reputation"] == -1.:
number_of_negative_reputations += 1
elif a["reputation"] == 1.:
number_of_positive_reputations += 1
else:
assert a["reputation"] == 0
assert number_of_payoffs == 1
assert number_of_cost ==1
assert number_of_positive_reputations == 0 or number_of_positive_reputations == 1
assert number_of_negative_reputations == 0 or number_of_negative_reputations == 1
def test_step_without_deception(self):
s = Simulation()
s.agents["deception probability"] = 0.
for i in range (0,100):
s.step()
for r in s.agents["reputation"]:
assert r >= 0
def test_step_without_deception(self):
s = Simulation()
s.agents["deception probability"] = 0.
for i in range(0, 100):
s.step()
for r in s.agents["reputation"]:
assert r >= 0
def test_step(self):
s = Simulation()
current_step = s.current_simstep
current_generation = s.current_generation
s.step()
assert s.current_simstep == current_step + 1
assert s.current_generation == current_generation
# with default settings, one agent should have cooperated, and one received payoff
number_of_payoffs = 0
number_of_cost = 0
number_of_negative_reputations = 0
number_of_positive_reputations = 0
for a in s.agents:
if a["value"] == 1.0:
number_of_payoffs += 1
assert a["reputation"] == 0. or a["reputation"] == -1.0
elif a["value"] == -0.5:
number_of_cost += 1
else:
assert a["value"] == 0.
if a["reputation"] == -1.:
number_of_negative_reputations += 1
elif a["reputation"] == 1.:
number_of_positive_reputations += 1
else:
assert a["reputation"] == 0
assert number_of_payoffs == 1
assert number_of_cost == 1
assert number_of_positive_reputations == 0 or number_of_positive_reputations == 1
assert number_of_negative_reputations == 0 or number_of_negative_reputations == 1
def test_step_with_generation_change(self):
s = Simulation()
s.current_simstep = Settings.number_of_simulation_steps_in_a_generation
current_generation = s.current_generation
s.step()
assert s.current_simstep == 0
assert s.current_generation == current_generation +1
for a in s.agents:
assert a["value"] == 0.
assert a["reputation"] == 0
def test_step_with_generation_change(self):
s = Simulation()
s.current_simstep = Settings.number_of_simulation_steps_in_a_generation
current_generation = s.current_generation
s.step()
assert s.current_simstep == 0
assert s.current_generation == current_generation + 1
for a in s.agents:
assert a["value"] == 0.
assert a["reputation"] == 0
def test_step_with_deception(self):
s = Simulation()
s.agents["deception probability"] = 1.
for i in range(0, 100):
s.agents["reputation"] = 0
s.step()
number_of_negative_reputations = 0
for r in s.agents["reputation"]:
if r<0:
number_of_negative_reputations += 1
assert number_of_negative_reputations == 2 or number_of_negative_reputations == 0 or \
number_of_negative_reputations == 1
def test_step_with_deception(self):
s = Simulation()
s.agents["deception probability"] = 1.
for i in range(0, 100):
s.agents["reputation"] = 0
s.step()
number_of_negative_reputations = 0
for r in s.agents["reputation"]:
if r < 0:
number_of_negative_reputations += 1
assert number_of_negative_reputations == 2 or number_of_negative_reputations == 0 or \
number_of_negative_reputations == 1