import numpy as np
import reimbursement
if __name__ == "__main__":
# mu, sigma case analysis
mu = np.float64(sys.argv[1])
s = np.float64(sys.argv[2])
# N case analysis
#s = np.float64(sys.argv[1])
#N = int(sys.argv[2])
#case = sys.argv[3]
model = reimbursement.SocialLearningSim(N=5,
M=100,
c=1.,
r=3.,
G=.7,
B=.7,
gamma=.7,
beta=.7,
sigma=1.,
alpha=.7,
mu=mu,
s=s,
compulsory=False,
SOP=False,
case="competition")
model.runAnalyticalSim()
import numpy as np
import reimbursement
if __name__ == "__main__":
# mu, sigma case analysis
mu = np.float64(sys.argv[1])
s = np.float64(sys.argv[2])
# N case analysis
#s = np.float64(sys.argv[1])
#N = int(sys.argv[2])
#case = sys.argv[3]
model = reimbursement.SocialLearningSim(N=5,
M=100,
c=1.,
r=3.,
G=.7,
B=.7,
gamma=.7,
beta=.7,
sigma=1.,
alpha=.7,
mu=mu,
s=s,
compulsory=True,
SOP=True,
case="pool")
model.runAnalyticalSim()