print 'n_cells=%d\tn_exc=%d\tn_inh=%d' % (params['n_cells'], params['n_exc'], params['n_inh']) print 'w_sigma_x, v', params['w_sigma_x'], params['w_sigma_v'] try: from mpi4py import MPI USE_MPI = True comm = MPI.COMM_WORLD pc_id, n_proc = comm.rank, comm.size print "USE_MPI:", USE_MPI, 'pc_id, n_proc:', pc_id, n_proc except: USE_MPI = False pc_id, n_proc, comm = 0, 1, None print "MPI not used" #try: tuning_prop = np.loadtxt(params['tuning_prop_means_fn']) #except: # print 'File with tuning properties missing: %s\nPlease run: \nmpirun -np [N] python prepare_tuning_prop.py\nOR\npython prepare_tuning_prop.py' % params['tuning_prop_means_fn'] # exit(1) import CreateConnections as CC #try: CC.compute_weights_convergence_constrained(tuning_prop, params, comm) #except: # print 'File with tuning properties contains wrong number of cells %s\nPlease re-run: \nmpirun -np [N] python prepare_tuning_prop.py\nOR\npython prepare_tuning_prop.py' % params['tuning_prop_means_fn'] # exit(1) output_fn = params['conn_list_ee_conv_constr_fn_base'] + 'merged.dat' if pc_id == 0: print 'Merged connections file:', output_fn utils.merge_files('%spid*.dat' % params['conn_list_ee_conv_constr_fn_base'], output_fn)