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_one(self):
s = VariedGame(CWOL, WrightFisher)
s.vary_param('a', (0, 2, 60), num_gens=250, num_iterations=5)
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_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_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): # 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']))
