def test_wireFrame( self): # 3d graph of equilibrium found when varying two variables s = VariedGame(HawkDoveBourgeois, WrightFisher) s.vary_2params('v', (0, 5, 1), 'c', (1, 5, 1), num_iterations=1, num_gens=200)
def test_contour_graph(self): # 2d contour color plot s = VariedGame(HawkDoveBourgeois, WrightFisher) s.vary_2params('v', (0, 50, 1), 'c', (0, 100, 1), num_iterations=1, num_gens=500, burn=499, graph=dict(type='contour', lineArray=[(0, 50, 0, 50)]))
def test_vary_one2( self): # Simulates while changing a single variable over time s = VariedGame(HawkDove, WrightFisher, dynamics_kwargs=dict(uniDist=True)) s.vary_param('high_sender_proportion', (1, 15, 37), num_gens=160, num_iterations=500, graph=dict(area=True, normalize=9, lineArray=[(.36, .36, 0, 1)]))
def test_vary_dependent(self): s = VariedGame(CWOL, WrightFisher, game_kwargs=dict(equilibrium_tolerance=0.1)) s.vary(game_kwargs=[{ 'c_low': (3, 12, 50) }, { 'c_high': lambda o: (7.88 - o.c_low * o.p) / (1 - o.p) }], num_iterations=10, graph=True)
def test_vary_one(self): s = VariedGame(CWOL, WrightFisher) s.vary_param('a', (0, 2, 60), num_gens=250, num_iterations=5)
def test_vary_one( self): # Simulates while changing a single variable over time s = VariedGame(Coordination, WrightFisher, dynamics_kwargs=dict(uniDist=True))
def test_3d_graphb(self): s = VariedGame(CWOL, WrightFisher) s.vary_2params('c_high', (4.05, 20.95, 35), 'p', (0.1, 0.9, 35), num_iterations=2, num_gens=150)
def test_3d_graph(self): s = VariedGame(CWOL, WrightFisher) s.vary_2params('a', (0, 2, 30), 'b', (0, 5, 30), num_iterations=2, num_gens=150)
def test_vary_ch(self): s = VariedGame(CWOL, WrightFisher) s.vary_param('c_high', (4.05, 20.95, 200), num_gens=150, num_iterations=5)
def test_vary_p(self): s = VariedGame(CWOL, WrightFisher) s.vary_param('p', (0.1, 0.9, 60), num_gens=150, num_iterations=10)
def test_vary_d(self): s = VariedGame(CWOLOnlyL, WrightFisher, game_kwargs=dict(equilibrium_tolerance=0.4)) s.vary_param('d', (-3, -0.05, 60), num_gens=1000, num_iterations=5)
def test_vary_dependent(self): s = VariedGame(CWOL, WrightFisher, game_kwargs=dict(equilibrium_tolerance=0.1)) s.vary(game_kwargs=[{'c_low': (3, 12, 50)}, {'c_high': lambda o: (7.88 - o.c_low * o.p) / (1 - o.p)}], num_iterations=10, graph=True)
def test_vary_one(self): # Simulates while changing a single variable over time s = VariedGame(HawkDoveBourgeois, WrightFisher, dynamics_kwargs=dict(uniDist=True)) s.vary_param('v', (0, 5, 1), num_gens=500, num_iterations=5, graph=dict(options=['area']))