def export_matrices(prefix, num_rows, num_cols, num_routes_per_od_pair, num_nonzero_routes_per_o):
# G = (V,E,w)
graph, routes, sensors = small_graph.generate_small_graph(num_cols=num_cols,
num_rows=num_rows, num_routes_per_od_pair=num_routes_per_od_pair)
# (O,D),R,alpha
(flow_portions,flow_portions_OD,flow_OD) = flows.annotate_with_flows(graph,
routes, 1.0, num_nonzero_routes_per_o)
# static matrix considering origin flows
phi, alpha, mu, f, num_routes = generate_static_matrix(graph, routes,
sensors, flow_portions)
scipy.io.savemat(prefix + 'small_graph.mat', {'phi': phi, 'real_a': alpha, 'w': mu,
'f': f, 'block_sizes': num_routes}, oned_as='column')
# static matrix considering origin-destination flows
phi, alpha, mu, f, num_routes = generate_static_matrix_OD(graph, routes,
sensors, flow_portions_OD, flow_from_each_node=flow_OD)
scipy.io.savemat(prefix + 'small_graph_OD.mat', {'phi': phi, 'real_a': alpha, 'w': mu,
'f': f, 'block_sizes': num_routes}, oned_as='column')
# random matrix 'considering origin flows'
phi, alpha, mu, f, num_routes = generate_random_matrix(graph, routes,
sensors, flow_portions)
scipy.io.savemat(prefix + 'small_graph_random.mat', {'phi': phi, 'real_a': alpha, 'w': mu,
'f': f, 'block_sizes': num_routes}, oned_as='column')
for j in xrange(len(route_indices_from_node)):
for i in xrange(len(f)):
info = where_did_f_come_from[i]
if route_indices_from_node[j] in info:
phi[i, j] = flow_from_each_node
phis.append(phi)
print ":end"
print where_did_f_come_from
return np.hstack(phis), f
if __name__ == '__main__':
graph, routes, sensors = small_graph.generate_small_graph()
(flow_portions,_,_) = flows.annotate_with_flows(graph, routes)
phi, alpha, mu, f, num_routes = static_matrix.generate_static_matrix(graph, routes, sensors, flow_portions)
# print len(routes)
# print len(f)
phi2, f2 = generate_augmented_matrix(graph, routes, sensors, flow_portions)
np.savetxt('phi.txt', phi2)
# print sum(np.transpose(phi2))
# print len(f2)
# print phi2.shape
# print phi.shape
