def solve(self):
'''
Solves the cstwMPCmarket.
'''
if self.AggShockBool:
for agent in self.agents:
agent.getEconomyData(self)
Market.solve(self)
else:
self.solveAgents()
self.makeHistory()
def solve(self):
'''
Solves the cstwMPCmarket.
'''
if self.AggShockBool:
for agent in self.agents:
agent.getEconomyData(self)
Market.solve(self)
else:
self.solveAgents()
self.makeHistory()
ThisType.solve()
type_list.append(ThisType)
ThisType = deepcopy(AltType)
ThisType(punk_utility=u_vec[j])
ThisType.solve()
type_list.append(ThisType)
for j in range(u_vec.size):
ThisType = deepcopy(TestType)
ThisType(jock_utility=u_vec[j])
ThisType.solve()
type_list.append(ThisType)
ThisType = deepcopy(AltType)
ThisType(jock_utility=u_vec[j])
ThisType.solve()
type_list.append(ThisType)
# Now run the simulation inside a Market
TestMarket = Market(agents = type_list,
sow_vars = ['pNow'],
reap_vars = ['sNow'],
track_vars = ['pNow'],
dyn_vars = ['pNextIntercept','pNextSlope','pNextWidth'],
millRule = calcPunkProp,
calcDynamics = calcFashionEvoFunc,
act_T = 1000,
tolerance = 0.01)
TestMarket.pNow_init = 0.5
TestMarket.solve()
plt.plot(TestMarket.pNow_hist)
plt.show()
