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)
