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_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_one(self):
s = VariedGame(CWOL, WrightFisher)
s.vary_param('a', (0, 2, 60), num_gens=250, num_iterations=5)
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_p(self):
s = VariedGame(CWOL, WrightFisher)
s.vary_param('p', (0.1, 0.9, 60), num_gens=150, num_iterations=10)
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_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_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(HawkDoveBourgeois, WrightFisher, dynamics_kwargs=dict(uniDist=True))
s.vary_param('v', (0, 5, 1), num_gens=500, num_iterations=5, graph=dict(options=['area']))