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simulate_s_emp.py
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import numpy as np
import time
import subprocess
from SCEconomy_s_emp import Economy, split_shock
import pickle
if __name__ == '__main__':
import sys
args = sys.argv
num_core = int(args[1])
def curvedspace(begin, end, curve, num=100):
import numpy as np
ans = np.linspace(0, (end - begin)**(1.0/curve), num) ** (curve) + begin
ans[-1] = end #so that the last element is exactly end
return ans
# additional info
agrid2 = curvedspace(0., 200., 2., 40)
kapgrid2 = curvedspace(0., 2., 2., 20)
zgrid2 = np.load('./input_data/zgrid.npy') ** 2.0
# prices
p_, rc_, ome_, varpi_p = 1.3519953608929385, 0.06117532373046963, 0.3915961239352689, 0.7037502296213269
alpha_p, phi_p = 0.4, 0.15
nu_p = 1. - alpha_p - phi_p
varpi = nu_p*varpi_p
nu = nu_p * (1.0 - varpi_p)/(1.- varpi)
phi = phi_p/(1.- varpi)
alpha = alpha_p/(1.- varpi)
print('nu + phi + alpha = ', nu+phi+alpha)
split_shock('./input_data/data_i_s', 100_000, num_core)
###end defining additional parameters###
print('Solving the model with the given prices...')
print('Do not simulate more than one models at the same time...')
econ = Economy(agrid = agrid2, kapgrid = kapgrid2, zgrid = zgrid2, rho = 0.01,\
ome = ome_, varpi = varpi, alpha = alpha, phi= phi, path_to_data_i_s = './input_data/data_i_s')
econ.set_prices(p = p_, rc = rc_)
with open('econ.pickle', mode='wb') as f: pickle.dump(econ, f)
t0 = time.time()
result = subprocess.run(['mpiexec', '-n', str(num_core), 'python', 'SCEconomy_s_emp.py'], stdout=subprocess.PIPE)
t1 = time.time()
detailed_output_file = './log/test.txt'
f = open(detailed_output_file, 'ab') #use byte mode
f.write(result.stdout)
f.close()
with open('econ.pickle', mode='rb') as f: econ = pickle.load(f)
p = econ.p
rc = econ.rc
moms = econ.moms
dist = np.sqrt(moms[0]**2.0 + moms[1]**2.0)
if p != p_ or rc != rc_:
print('err: input prices and output prices do not coincide.')
print('p = ', p, ', p_ = ', p_)
print('rc = ', rc, ', rc_ = ', rc_)
#calc main moments
econ.calc_moments()
# # ###calculate other important variables###
# econ.calc_sweat_eq_value()
# econ.calc_age()
# econ.simulate_other_vars()
# econ.save_result()