def test_single_simulation_moran(self): s = GameDynamicsWrapper(CWOLOnlyL, Moran, dynamics_kwargs=dict(pop_size=3000), game_kwargs=dict(a=0.2, equilibrium_tolerance=.5)) s.simulate(num_gens=30000)
def test_single_simulation(self): s = GameDynamicsWrapper(CtsDisc, WrightFisher, dynamics_kwargs=dict(selection_strength=.3)) s.simulate(num_gens=190, graph=dict(shading='redblue', options=[ 'area', 'meanStratLine', 'payoffLine', 'largeFont', 'noLegend' ]), start_state=state)
def test_single_simulation(self): s = GameDynamicsWrapper(HawkDoveBourgeois, WrightFisher) s.simulate(num_gens=1000)#, graph=dict(options=['area', 'largeFont']))
def test_unclassified_d(self): s = GameDynamicsWrapper(CWOLOnlyL, WrightFisher, game_kwargs=dict(d=-1.0)) s.simulate(num_gens=500)
def test_single_simulation(self): s = GameDynamicsWrapper(CWOL, WrightFisher, game_kwargs=dict()) s.simulate(num_gens=300)
def test_unclassified_d(self): s = GameDynamicsWrapper(CWOLOnlyL, WrightFisher, game_kwargs=dict(d=-1.0)) s.simulate(num_gens=500)
def test_single_simulation(self): s = GameDynamicsWrapper(CWOL, WrightFisher, game_kwargs=dict()) s.simulate(num_gens=300)
def test_single_simulation_moran(self): s = GameDynamicsWrapper(CWOLOnlyL, Moran, dynamics_kwargs=dict(pop_size=3000), game_kwargs=dict(a=0.2, equilibrium_tolerance=.5)) s.simulate(num_gens=30000)
def test_single_simulation(self): s = GameDynamicsWrapper(HawkDove, WrightFisher) s.simulate(num_gens=100, graph=dict(options=['area', 'smallFont']))