simulate_DeBacker.py

import numpy as np
import time
import subprocess
from SCEconomy_give_A import Economy, split_shock
import numba as nb
from markov import calc_trans

import pickle


if __name__ == '__main__':

    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


    input_path = './input_data/'
    num_core = 4


    ### additional info
    agrid2 = curvedspace(0., 200., 2., 40)
    kapgrid2 = curvedspace(0., 2., 2., 20)
    zgrid2 = np.load('./input_data/zgrid.npy') ** 2.0

    prob = np.load('./DeBacker/prob_epsz.npy')

    #generate shock sequence
    num_pop = 100_000
    sim_time = 2_000

    data_i_s = np.ones((num_pop, sim_time), dtype = int)
    #need to set initial state for zp
    data_i_s[:, 0] = 7

    
    data_rand = np.random.rand(num_pop, sim_time)
    calc_trans(data_i_s, data_rand, prob)

    np.save(input_path + 'data_i_s_tmp.npy', data_i_s[:,-1000:])
    split_shock(input_path + 'data_i_s_tmp', 100_000, num_core)

    path_to_data_i_s = input_path + 'data_i_s_tmp'

    # prices
    w_, p_, rc_ = 3.1529396907242555, 0.7362549279771939, 0.06176895413151351

    
    ###end defining additional parameters###

    print('Solving the model with the given prices...')
    print('Do not simulate more thn one maodels at the same time...')

    econ = Economy(agrid = agrid2, kapgrid = kapgrid2, zgrid = zgrid2, prob = prob, path_to_data_i_s = path_to_data_i_s)
    
    econ.set_prices(w = w_, 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_give_A.py'], stdout=subprocess.PIPE)
    
    t1 = time.time()

    with open('econ.pickle', mode='rb') as f: econ = pickle.load(f)


    w = econ.w
    p = econ.p
    rc = econ.rc
    moms = econ.moms
    
    dist = np.sqrt(moms[0]**2.0 + moms[1]**2.0 + moms[2]**2.0)
    
    if w != w_ or  p != p_ or  rc != rc_:
        print('err: input prices and output prices do not coincide.')
        print('w = ', w, ', w_ = ', w_)
        print('p = ', p, ', p_ = ', p_)
        print('rc = ', rc, ', rc_ = ', rc_)

    
    
    econ.calc_moments()
    ###calculate other important variables###
    econ.calc_sweat_eq_value()
    econ.calc_age()
    econ.simulate_other_vars()
    econ.save_result()