#!/usr/bin/env python3 ''' Python generator for MATSim plans. ''' import sys import lxml.etree as etree import numpy as np import joblib as jl import plan_gen.plan_gen as pg NB_CORES = 4 def run_rand_person(i): ''' parallelisation ''' np.random.seed(SEEDS[i]) return [pg.rand_person(NODES, CLUSTERS, H_DENSITIES, W_DENSITIES) for _ in range(int(NB_PERSONS/NB_CORES))] if __name__ == '__main__': # command line arguments if len(sys.argv) != 2: print('usage:', sys.argv[0], '') sys.exit(-1) DICT_PARAMS = pg.parse_params(sys.argv[1]) NB_CLUSTERS = DICT_PARAMS['nc'] NB_PERSONS = DICT_PARAMS['np'] INPUT_NETWORK = DICT_PARAMS['nw'] H_CENTERS = DICT_PARAMS['hc'] if 'hc' in DICT_PARAMS else None W_CENTERS = DICT_PARAMS['wc'] if 'wc' in DICT_PARAMS else None H_RADIUS = DICT_PARAMS['hr'] if 'hr' in DICT_PARAMS else None W_RADIUS = DICT_PARAMS['wr'] if 'wr' in DICT_PARAMS else None # prepare data NODES = pg.get_nodes(INPUT_NETWORK) CLUSTERS = pg.make_clusters(NB_CLUSTERS, NODES) H_DENSITIES = pg.make_densities(NB_CLUSTERS, H_CENTERS, H_RADIUS) H_DENSITIES = pg.clean_densities(H_DENSITIES, CLUSTERS) W_DENSITIES = pg.make_densities(NB_CLUSTERS, W_CENTERS, W_RADIUS) W_DENSITIES = pg.clean_densities(W_DENSITIES, CLUSTERS) # make xml SEEDS = np.random.random_integers(0, 1e9, NB_CORES) PERSONS = jl.Parallel(n_jobs=NB_CORES)(jl.delayed(run_rand_person)(i) for i in range(NB_CORES)) PERSONS = sum(PERSONS,[]) PLANS = pg.make_plans(PERSONS) # print XML print('') print('') print(etree.tostring(PLANS, pretty_print=True).decode('utf-8'))